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Whispr IQ - Trading SystemWhispr IQ - Trading System This advanced multi-component indicator combines several powerful analysis tools to provide a comprehensive view of market conditions and potential trading opportunities. Key Components: Kernel Regression Ribbon Institutional Order Flow Volume Profile Order Blocks Swing Points and Liquidity Naked POC (Point of Control) Fibonacci Levels Zig Zag Patterns Divergence Scanner Squeeze Bands How It Works: Kernel Regression Ribbon Uses kernel regression to create a smoothed ribbon of price action Multiple timeframes analyzed to show short, medium and long-term trends Color coding indicates bullish/bearish bias Institutional Order Flow Identifies areas of high volume and potential institutional activity Highlights order blocks, liquidity levels, and fair value gaps Helps visualize potential support/resistance zones Volume Profile Displays volume distribution at different price levels Identifies high volume nodes and value areas Useful for determining potential reversal points Order Blocks Highlights significant swing highs/lows with high volume Indicates potential areas where large players may have placed orders Useful for identifying key support/resistance levels Swing Points and Liquidity Marks major swing highs and lows Highlights areas of potential liquidity buildup Helps identify trend changes and potential reversal zones Naked POC Shows uncovered Points of Control from volume profile analysis Indicates areas of high trading activity that price has moved away from Potential magnet for price to return to Fibonacci Levels Plots key Fibonacci retracement and extension levels Useful for identifying potential support, resistance and targets Multiple Fibonacci sequences used for confirmation Zig Zag Patterns Identifies key swing highs and lows Filters out minor price movements Helps visualize overall trend structure Divergence Scanner Scans for regular and hidden divergences on multiple indicators Signals potential trend reversals or continuations Configurable to scan RSI, MACD, CCI and other oscillators Squeeze Bands Identifies periods of low volatility (squeezes) Signals potential for explosive moves when volatility expands Based on Bollinger Bands and Keltner Channel relationships The Whispr IQ system combines all these elements to provide a holistic view of market conditions. Traders can use the various signals and overlays to identify high-probability trade setups, key support/resistance levels, trend direction on multiple timeframes, and potential reversals. This indicator is designed for experienced traders who can interpret the multiple data points and use them in conjunction with their own analysis and risk management. It's a powerful tool that can enhance trading decisions when used properly as part of a complete trading plan.
Pine Script®指标
由AIWAY提供
25
Liquidity composition / Flowly Indicators- Overview Liquidity composition divides each candle into sections that are used to display transaction activity at price. In simple terms, an X-ray through candle is formed, revealing the orderflow that built the candle in greater detail. Liquidity composition consists of two main components, lots and columns. Lots and columns can be used to visualize user specified volume types, currently supporting net volume and volume delta. Lots and columns can be used to visualize same or different volume types, allowing a combination of volume footprint, volume delta footprint and volume profile in one single view. Liquidity composition principally works on any chart, whether that is equities, currencies, cryptocurrencies or commodities, even charts with no volume data (in which case volatility is used to approximate transaction activity). The script also works on any timeframe, from minute charts to monthly charts. Orderflow can be observed in real-time as it develops and none of the indications are repainted. Example: Displaying same volume types on lots and columns Example: Displaying different volume types on lots and columns Liquidity composition supports user specified derivative data, such as point of control(s) and net activity coloring. Derivative data can be calculated based on either net volume or volume delta, resulting in different highlights. With net volume, volume delta and derivative data in one view, key orderflow events such as delta imbalances, high volume nodes, low volume nodes and point of controls can be used to quickly identify accumulation/distribution, imbalances, unfinished/finished auctions and trapped traders. Accessing script 🔑 See "Author's instructions" section, found at bottom of the script page. Key takeaways - Liquidity composition breaks down transaction activity at price, measured in net volume or volume delta - Developing activity can be observed real-time, none of the indications are repainted - Transaction activity is calculated using volumes accrued in lower timeframe price movements - Lots and columns can be used to display same or different volume types (e.g. volume delta lots and net volume columns) in single view - Users can specify derivative data such as volume delta POCs, net volume POC and net activity coloring - For practical guide with practical examples, see last section Disclaimer Orderflow data is estimated using lower timeframe price movement. While accurate and useful, it's important to note the calculations are estimations and are not based on orderbook data. Estimates are calculated by allotting volume developing on lower timeframe chart to its respective section based on closing price. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Accuracy of the orderflow estimations largely depends on quality of lower timeframe chart used for calculations, which is why this tool cannot be expected to work accurately on illiquid charts with broken data. Liquidity composition does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Liquidity composition should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis. - Example charts Chart #1: BTCUSDT Chart #2: EURUSD Chart #3: ES futures - Calculations By default, size of sections and lower timeframe accuracy are automatically determined for all charts and timeframes. Number of lower timeframe price moves used for calculating orderflow is kept at fixed value, by default set to 350. Accuracy value dictates how many lower timeframe candles are included in the calculation of volume at price. At 350, the script will always use 350 lower timeframe price movements in calculations (when possible). When calculated dynamic timeframe is less than 1 minute, the script switches to available seconds based timeframes. Minimum dynamic timeframe can be capped to 1 minute (as seconds based timeframes are not available for all plans) or dynamic timeframe can be overridden using an user specified timeframe. Example: Calculating dynamic lower timeframe Main chart: 4H / 240 minutes Accuracy value: 100 Formula: 240 minutes / 100 = 2.4 minutes Timeframe used for calculations = 2 minutes Section size is automatically determined based on typical historical candle range, the bigger it is, the bigger the section size as well. Like dynamic timeframe, automatic section size can be manually overridden by user specified size expressed in ticks (minimum price unit). Users can also adjust sensitivity of automatic sizing by setting it higher (smaller sections, more detail and more noise) or lower (less sections, less detail and less noise). Section size and dynamic timeframe can be monitored via metric table. Volume at price is calculated by allotting volume associated with a lower timeframe price movement to its respective section based on closing price (volume is stored to the section that covers closing price). When used on a chart with no volume data, volatility is used instead to determine likely magnitude of participation. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Volumes accrued in sections are monitored over a longer period of time to determine a "normal" amount of activity, which is then used to normalize accrued volumes by benchmarking them against historical values. Volume values displayed on the left side represent how close or far volume traded at given section is to an extreme, represented by value of 10 . The more value exceeds 10, the more extreme transaction activity is historically. The lesser the value, the less extreme (and therefore more typical) transaction activity is. Users can adjust sensitivity of volume extreme threshold, either by increasing it (more transaction activity is needed to constitute an extreme) or decreasing it (less transaction activity is needed to constitute an extreme). Example: Interpreting volume scale 0 = Very little to no transaction activity compared to historical values 5 = Transaction activity equal to average historical values 10 = Transaction activity equal to an extreme in historical values 10+ = The more transaction activity exceeds value of 10, the more extreme it is historically Accuracy of orderflow data largely depends on quality of lower timeframe data used in calculations. Sometimes quality of underlying lower timeframe data is insufficient due to suboptimal accuracy or broken lower timeframe data, usually caused by illiquid charts with gaps and inconsistent values. Therefore, one should always ensure the usage of most liquid chart available with no gaps in lower timeframe data. To combat poor orderflow data, a simple data quality check is conducted by calculating percentage of sections with volume data out of all available sections. Idea behind the test is to capture instances where unusual amount of sections are completely empty, most likely due to data gaps in LTF chart. E.g. 90% of sections hold some volume data, 10% are completely empty = 90% data quality score. Data quality score should be viewed as a metric alerting when detail of underlying data is insufficient to consider accurate. When data quality score is slightly below threshold, lower timeframe chart used for calculations is likely fine, but accuracy value is too low. In this case, one should increase accuracy value or manually override used timeframe with a smaller one. When data quality score is well below threshold, lower timeframe chart used for calculations is likely broken and cannot be fixed. In this case, one should look for alternative charts with more reliable data (e.g. ES1! -> SPY, BITSTAMP:BTCUSD -> BINANCE:BTCUSDT). Example : When insufficient data quality scores can/cannot be fixed - Derivative data Point of control Point of control, referring to point in price where transaction activity is highest, can be calculated based on the volume type of lots or columns (based on net volume or volume delta). Depending on the calculation basis, displayed point of controls will vary. POC calculated based on net volume is no different from traditional POC, it is simply the section with highest amount of transaction activity, marked with an X. When calculating POC based on volume delta, the script will highlight two point of controls, named leading and losing point of control . Leading POC refers to lot with highest amount of volume delta, marked with an X. If leading POC was net buy volume, losing POC is marked on section with highest net sell volume, marked with S respectfully. Same logic applies in vice versa, if leading POC is net sell volume, losing POC is marked on highest buy volume section, using the letter B. Net activity Similarly to point of control calculation, net activity can be calculated based on either volume types, lots or columns. When calculating net activity based on net volume, candles will be colorized according to magnitude of total volume traded. When calculating net activity based on volume delta, candles will be colorized according to side with most volume traded (buyers or sellers). Net activity color can be applied on borders or body of a candle. - Visuals Lots, columns, candles and POCs can be colorized using a fixed color or a volume based dynamic color, with separate color options for buy side volume, sell side volume and net volume. Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts. Table sizes, label sizes and offsets for visuals are fully customizable using settings menu. - Practical guide OHLC data (candles) is a simple condensed visualization of an auction market process. Candles show where price was in the beginning of an auction period (timeframe), the highest/lowest point and where price was at the end of an auction. The core utility of Liquidity composition is being able to view the same auction market process in much greater detail, revealing likely intention, effort and magnitude driving the process. All basic orderflow concepts, such as ones presented by auction market theory can be applied to Liquidity composition as well. The most obvious and easy to spot use case for orderflow tools is identifying trapped traders/absorption, seen in high transaction activity at the very highs/lows of a candle or even better, at wicks. High participation at wicks can be used to identify forced orders absorbed into limit orders, idea behind being that when high transaction activity is placed at a wick, price went one direction with a lot of participation (high effort) and came right back up (low impact) within the same time period. Absorption can show itself in many ways: - Extreme buy volume sections at wick highs or buy side POC at wick highs - Multiple, clustered high buy volume sections (but not extreme) at wick highs - Positive net volume delta into a reversal down - Extreme sell volume sections at wick lows or sell side POC at wick lows - Multiple, clustered high sell volume sections (but not extreme) at wick lows - Negative net volume delta into a reversal up - Extreme net volume sections at or net volume POC at wick highs/lows - Extreme net volume into a reversal up/down For accurate analysis, orderflow based events should be viewed in the context of price action. To identify absorption, it's best to look for opportunities where an opposing trend is clearly in place, e.g. absorption into highs on an uptrend, absorption into lows on a downtrend. When price is ranging without a clear trend or there's no opposing trend, extreme activity at an extreme end of a candle might be aggressive participants attempting to initiate a new trend, rather than getting absorbed in the same sense. With enough effort put into pushing price to the opposite direction at overextended price, a shift in trend direction might be near. Price action based levels are a great way to get context around orderflow events. Simple range highs/lows as a single data point serve as a high probability regimes for reversals, making them a great point of confluence for identifying trapped traders. Low to zero volume sections can be used to identify points in price with little to no trading, leaving a volume null/void behind. Typically sections like these represent gaps on a lower timeframe chart, which can be used as reference levels for targets and support/resistance. Net volume can be used for same purposes as above, but for determining general intention of market participants it's a much more suitable tool than volume delta. According to auction market theory, low/no participation is considered to reject prices and high participation is considered to accept prices. With this concept in mind, unfinished auctions occur when participation is high at highs or high at lows, idea behind being that participants are showing willingness and interest to trade at higher or lower prices. Auction is considered finished when the opposite is true, i.e. when participants are not showing willingness to trade at higher/lower prices. In general, direction of unfinished auctions can be expected to continue shortly and direction of unfinished auctions can be expected to hold. While shape of volume delta and net volume are usually similar, they're not the same thing and do not represent the same event under the hood. Volume delta at 0 does not necessarily mean participation is 0, but can also mean high participation with equal amount of buying and selling. With this distinction in mind, using volume delta and net volume in tandem has the benefit of being able to identify points in price with a lot of up and down price movement packed into a small area, i.e. consolidation. Points in price where price hangs around for an extended period of time can be used to identify levels of interest for re-tests and breakout opportunities.
Pine Script®指标
由FlowlyIndicators提供
19
Bitcoin Stalemate IndicatorThe Bitcoin Stalemate Indicator examines periods in the market defined by a combination of high volume and low price volatility. These periods are a bit like a tug-of-war with both sides applying a lot of force but the rope moving very little. Periods of high volume and low volatility suggest both sides of the trade are stuck in a stalemate. This indicator may be useful in identifying psychologically important price levels. The mechanics of the indicator are fairly simple: the indicator takes the volume and divides it by the candle’s size over it’s close for that same period. volume / ((high - low) / close) Candles that move very little but with high volume will produce higher reads and vice versa. Finally a smoothing average is applied to clean up the noise. Volume profiles from the top 6 exchanges are averaged in order to avoid a single exchange’s popularity acting as an overriding factor. Single exchanges can be isolated but are of lesser use. Heat map functionality is only active when all exchanges are selected.
Pine Script®指标
由DamonAndTheSea提供
1
.srb suiteThe essential suite Indicator. that are well integrated to ensure visibility of essential items for trading. it is very cumbersome to put symbol in the Tradingview chart and combine essential individual indicators one by one. Moreover even with such a combination, the chart is messy and visibility is not good. This is because each indicator is not designed with the others in mind. This suite was developed as a composite-solution to that situation, and will make you happy. designed to work in the same pane with open-source indicator by default. Recommended visual order ; Back = .srb suite, Front = .srb suite vol & info individually turn on/off only what you need on the screen. BTC-agg. Volume 4 BTC-spot & 4 BTC-PERP volume aggregated. It might helps you don't miss out on important volume flows. Weighted to spot trading volume when using PERP+spot volume . If enabled, BTC-agg.Vol automatically applied when selecting BTC-pair. --> This is used in calculations involving volumes, such as VWAP. Moving Average 1 x JMA trend ribbon ; Accurately follow short-term trend changes. 3 x EMA ribbon ; zone , not the line. MA extension line ; It provide high visibility to recognize the direction of the MA. SPECIAL TOOLS VWAP with Standard Deviation Bands VWAP ruler BB regular (Dev. 2.0, 2.5) BB Extented (Dev. 2.5, 3.0, 3.5) Fixed Range Volume Profile ; steamlined one, performace tuned & update. SPECIAL TOOLS - Auto Fibonacci Retracement - New GUI 'built-in auto FBR ' has been re-born It shows - retracement Max top/ min bottom ; for higher visibility It shows - current retracement position ; for higher visibility The display of the Fib position that exceeds the regular range is auto-determined according to the price. tradingview | chart setting > Appearance > Top margin 0%, Bottom margin 0% for optimized screen usage tradingview | chart setting > Appearance > Right margin 57 .srb suite vol & info --> Visual Order > Bring to Front .srb suite vol & info --> Pin to scale > No scale (Full-screen) Visual order ; Back = .srb suite, Front = .srb suite vol & info 1. Fib.Retracement core is from tradingview built-in FBR ---> upgrade new-type GUI, and performance tuned. 2. Fixed-range volume-profile core is from the open-source one ---> some update & perf.tuned. --------------------------------------------------------------------------------------------------------------------------------------- if you have any questions freely contact to me by message on tradingview. but please understand that responses may be quite late. Special thanks to all of contributors of community. The script may be freely distributed under the MIT license.
Pine Script®指标
由sr_b提供
20
Multi Time Frame Trend, Volume and Momentum ProfileWHAT DOES THIS INDICATOR DO? I created this indicator to address some of the significant inconveniences when analyzing a security, such as continually switching between different time frames to determine the trend and potential pullbacks, adding volume or volume-derived indicators, and finally, something that would help me determine the strength of the trend (maybe two additional indicators here). So I decided to code this all-in-one indicator that you can add multiple times to your chart depending on the settings you want to use, or just optimize the parameters for the particular asset and then switch between the options. As the name suggests, it consists of three main sections - Trend , Volume , and Momentum . You have complete control over the parameters, including the Time Frames you want to use for each one (they can be different). So, let me explain each section in more detail. HOW DOES THE INDICATOR WORK? 1. Trend Settings In order to determine the trend, you need to set up two Moving Averages. You have a wide choice here - SMA, EMA, WMA, RMA, HMA, DEMA, TEMA, VWMA, and ALMA. Since the indicator does not plot the moving averages on the chart, I strongly suggest using this indicator along with the free "Trend Indicator for Directional Trading(main)" , which you can find in the Public Library. Once you set up the Trend Resolution, the Types of MAs, and their lengths, the indicator will generate a histogram of their convergences and divergences. The change in colors should help you more easily determine the trend: a) Bright Green - bull trend and price trending up (a good place to open long) b) Dark Green - bull trend and price trending down (stay flat or open a long position with great caution) c) Bright Red - bear trend and price trending down (a good place to open short) d) Dark Red - bear trend and price trending up (stay flat or open a short position with great caution) e) In addition, you can change the color palette to reflect the bull/bear trend momentum by scrolling to the bottom and selecting "Color Based on Bull/Bear Momentum", but I will discuss this in more detail below. This part of the indicator is useful for opening a trade in the direction of the trend or for spotting a potential divergence. Both cases are illustrated below. 2. Volume Settings The calculations for this part of the indicator are partially taken from "Multi Time Frame Effective Volume Profile" . I will quickly outline the specifics here, but if you want a more thorough understanding of how it works, please check the description of the MTF Effective Volume Profile indicator . You have three elements with the following default settings - Resolution (5-min), Lookback (100), and Average (1). This means that the indicator will analyze the last one hundred 5-min bars and will plot a sum of only those that are at least 1 times bigger than the average. Those that are smaller than the average will be left out from the calculation. What you get is a trend line showing you accumulation/distribution based on modified volume parameters. This part of the indicator is useful for spotting exhaustions and increased buying/selling volume that is opposite to the price trend. As you will see in the picture below, in frame 1 the selling pressure is decreasing, while buying volume is increasing. At one point supply dries out and the bulls take control, thus reverting the price. In frame 2, however, you can see that the higher high is not met with nearly as much buying volume as in the previous peak, showing that the bulls are exhausted and maybe a trend change will follow or at the very least that the bull trend will take a break. 3. Momentum Settings The final part is an RSI smoothed through a Moving Average with the addition of some minor optimizations. Thus, the parameters you have to configure here aside from the resolution are the RSI length, the moving average that will be used, and its length. Out of the three, this is the most lagging component, but it's also the most accurate one. I must mention that due to the modified nature of this RSI, overbought and oversold levels carry less weight to the trading signals. Rather, pay attention to the change of colors, as they do so when the RSI changes direction based on preset parameters. The picture below shows such instances. 4. Additional Settings This section consists of 4 elements: a) Length of Trend - filters out the noise and gives a signal only when the trend becomes more established b) ADX Threshold - filters out trading ranges and indecision zones when it's not recommended to open a trade c) Select Analysis - choose what part of the indicator you want to see from a drop-down menu d) Color Based on Bull/Bear Momentum - a global setting that will override the preset coloring of each indicator and will replace it with colors based on bull/bear strength and momentum - green for bulls, red for bears, and gray for non-trading zones. The last part of this indicator is a combination of all of the above and is called a Points-Based System . It generates 3 rows of dots that go light green when bull criteria are met, orange when bear criteria are met, or gray when it's neither of the two. When you get a column of 3 green dots you get a buy signal. Similarly, a column of 3 orange dots gives you a sell signal. Grey zones are non-tradeable. It goes without saying that the frequency and quality of the signals you get will almost entirely depend on your settings, so feel free to experiment and adjust the indicator to catch the best moves for the given security. In terms of indicator adjustments, I have left almost every part open to configuration. That is 15 parameters and 35 adjustable colors. HOW MUCH DOES THE INDICATOR COST ? As much as I would like to offer it for free (as some of my other ones), a great deal of work, trading logic, and testing have gone into creating this indicator. More than a few hundred iterations and a few dozen branches were required to reach the end result which is a precise combination of usefulness, simplicity, and practicality. Furthermore, this indicator will continue to be updated and user-requested features that improve its performance will be added. Disclaimer: The purpose of all indicators is to indicate potential setups, which may lead to profitable results. No indicator is perfect and certainly, no indicator has a 100% success rate. They are subject to flaws, wrongful interpretation, bugs, etc. This indicator makes no exception. It must be used with a sound money management plan that puts the main emphasis on protecting your capital. Please, do not rely solely on any single indicator to make trading decisions instead of you. Indicators are storytellers, not fortune tellers. They help you see the bigger picture, not the future. To find out more about how to gain access to this indicator, please use the provided information below or just message me. Thank you for your time.
Pine Script®指标
由Quant_提供
13
VPoC per barThis study prints the current bar VPoC as an horizontal line. It's aimed originally at BTCUSDT pair and 15m timeframe. HOW IT WORKS Zoom In mode: This is the default mode. The study zooms in into the latest 15 1-minute bar candles in order to calculate the 15 minute candle VPoC. Zoom Out mode: The VPoC from the last n bars from the current timeframe that match desired timeframe is shown on each bar. In either case you are recommended to click on the '...' button associated to this study and select 'Visual Order. Bring to Front.' so that it's properly shown in your chart. HOW IT WORKS - Zoom In mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to true. Choose the zoomed in timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting. Change '(VP) Zoomed in timeframe bars per current timeframe bar {15}' to its appropiated value. You just need to divide the current timeframe minutes per the zoomed in timeframe minutes per bar. E.g. If you are in 60 minute timeframe and you want to zoom in into 5 minute timeframe: 60 / 5 = 12 . You will write 12 here. HOW IT WORKS - Zoom Out mode Make sure that '(VP) Zoom into the VP timeframe' setting is set to false. If you are using the Zoom out mode you might want to set '(VP) Print VPoC price as discrete lines {True}' to false. Either choose the zoommed out timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting or turn on the '(VP) Use number of bars (not VP timeframe)' setting in order to use '(VP) Number of bars {100}' as a custom number of bars. WARNING - Zoom In mode last bar The way that PineScript handles security function in last bar might result on the last bar not being accurate enough. SETTINGS __ SETTINGS - Volume Profile (VP) Zoomed timeframe {1 minute}: Timeframe in which to zoom in or zoom out to calculate an accurate VPoC for the current timeframe. (VP) Zoomed in timeframe bars per current timeframe bar {15}: Check 'HOW IT WORKS - Zoom In mode' above. Note : It is only used in 'Zoom in' mode. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Price levels {24}: Price levels for calculating VPoC. __ SETTINGS - MAIN TURN ON/OFF OPTIONS (VP) Print VPoC price {True}: Show VPoC price (VP) Zoom into the VP timeframe: When set to true the VPoC is calculated by zooming into the lower timeframe. When set to false a higher timeframe (or number of bars) is used. (VP) Realtime Zoom in (Beta): Enable real time zoom for the last bar. It's beta because it would only work with zoomed in timeframe under 60 minutes. And when ratio between zoomout and zoomin is less than 60. Note : It is only used in 'Zoom in' mode. (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. __ SETTINGS - EXTRA (VP) VPoC color: Change the VPoC color (VP) VPoC line width {1}: Change VPoC line width (in pixels). (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode. (VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line. CREDITS I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user.
Pine Script®指标
由ruckard提供
34
Bar Balance [LucF]Bar Balance extracts the number of up, down and neutral intrabars contained in each chart bar, revealing information on the strength of price movement. It can display stacked columns representing raw up/down/neutral intrabar counts, or an up/down balance line which can be calculated and visualized in many different ways. WARNING: This is an analysis tool that works on historical bars only. It does not show any realtime information, and thus cannot be used to issue alerts or for automated trading. When realtime bars elapse, the indicator will require a browser refresh, a change to its Inputs or to the chart's timeframe/symbol to recalculate and display information on those elapsed bars. Once a trader understands this, the indicator can be used advantageously to make discretionary trading decisions. Traders used to work with my  Delta Volume Columns Pro  will feel right at home in this indicator's Inputs . It has lots of options, allowing it to be used in many different ways. If you value the bar balance information this indicator mines, I hope you will find the time required to master the use of Bar Balance well worth the investment. █  OVERVIEW The indicator has two modes: Columns and Line . Columns • In Columns mode you can display stacked Up/Down/Neutral columns. • The "Up" section represents the count of intrabars where `close > open`, "Down" where `close < open` and "Neutral" where `close = open`. • The Up section always appears above the centerline, the Down section below. The Neutral section overlaps the centerline, split halfway above and below it.  The Up and Down sections start where the Neutral section ends, when there is one. • The Up and Down sections can be colored independently using 7 different methods. • The signal line plotted in Line mode can also be displayed in Columns mode. Line • Displays a single balance line using a zero centerline. • A variable number of independent methods can be used to calculate the line (6), determine its color (5), and color the fill (5).  You can thus evaluate the state of 3 different components with this single line. • A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events. Features available in both modes • The color of all components can be selected from 15 base colors, with 16 gradient levels used for each base color in the indicator's gradients. • A zero line can show a 6-state aggregate value of the three main volume balance modes. • The background can be colored using any of 5 different methods. • Chart bars can be colored using 5 different methods. • Divergence and large neutral count ratio events can be shown in either Columns or Line mode, calculated in one of 4 different methods. • Markers on 6 different conditions can be displayed. █  CONCEPTS Intrabar inspection Intrabar inspection means the indicator looks at lower timeframe bars ( intrabars ) making up a given chart bar to gather its information. If your chart is on a 1-hour timeframe and the intrabar resolution determined by the indicator is 5 minutes, then 12 intrabars will be analyzed for each chart bar and the count of up/down/neutral intrabars among those will be tallied. Bar Balances and calculation methods The indicator uses a variety of methods to evaluate bar balance and to derive other calculations from them: 1. Balance on Bar : Uses the relative importance of instant Up and Down counts on the bar. 2. Balance Averages : Uses the difference between the EMAs of Up and Down counts. 3. Balance Momentum : Starts by calculating, separately for both Up and Down counts, the difference between the same EMAs used in Balance Averages and an SMA of double the period used for the EMAs. These differences are then aggregated and finally, a bounded momentum of that aggregate is calculated using RSI. 4. Markers Bias : It sums the bull/bear occurrences of the four previous markers over a user-defined period (the default is 14). 5. Combined Balances : This is the aggregate of the instant bull/bear bias of the three main bar balances. 6. Dual Up/Down Averages : This is a display mode showing the EMA calculated for each of the Up and Down counts. Interpretation of neutral intrabars What do neutral intrabars mean? When price does not change during a bar, it can be because there is simply no interest in the market, or because of a perfect balance between buyers and sellers. The latter being more improbable, Bar Balance assumes that neutral bars reveal a lack of interest, which entails uncertainty. That is the reason why the option is provided to interpret ratios of neutral intrabars greater than 50% as divergences. It is also the rationale behind the option to dampen signal lines on the inverse ratio of neutral intrabars, so that zero intrabars do not affect the signal, and progressively larger proportions of neutral intrabars will reduce the signal's amplitude, as the balance calcs using the up/down counts lose significance. The impact of the dampening will vary with markets. Weaker markets such as cryptos will often contain greater numbers of neutral intrabars, so dampening the Line in that sector will have a greater impact than in more liquid markets. █  FEATURES 1 — Columns • While the size of the Up/Down columns always represents their respective importance on the bar, their coloring mode is independent. The default setup uses a standard coloring mode where the Up/Down columns over/under the zero line are always in the bull/bear color with a higher intensity for the winning side. Six other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on Balance Averages, for example, you will end up with bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "Up/Down Ratio on Bar — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar. • Line mode shows only the line, but Columns mode allows displaying the line along with it. If the scale of the line is different than that of the scale of the columns, the line will often appear flat. Traders may find even a flat line useful as its bull/bear colors will be easily distinguishable. 2 — Line • The default setup for Line mode uses a calculation on "Balance Momentum", with a fill on the longer-term "Balance Averages" and a line color based on the "Markers Bias". With the background set on "Line vs Divergence Levels" and the zero line on the hard-coded "Combined Bar Balances", you have access to five distinct sources of information at a glance, to which you can add divergences, divergences levels and chart bar coloring. This provides powerful potential in displaying bar balance information. • When no columns are displayed, Line mode can show the full scale of whichever line you choose to calculate because the columns' scale no longer interferes with the line's scale. • Note that when "Balance on Bar" is selected, the Neutral count is also displayed as a ratio of the balance line. This is the only instance where the Neutral count is displayed in Line mode. • The "Dual Up/Down Averages" is an exception as it displays two lines: one average for the Up counts and another for the Down counts. This mode will be most useful when Columns are also displayed, as it provides a reference for the top and bottom columns. 3 — Zero Line The zero line can be colored using two methods, both based on the Combined Balances, i.e., the aggregate of the instant bull/bear bias of the three main bar balances. • In "Six-state Dual Color Gradient" mode, a dot appears on every bar. Its color reflects the bull/bear state of the Combined Balances, and the dot's brightness reflects the tally of balance biases. • In "Dual Solid Colors (All Bull/All Bear Only)" a dot only appears when all three balances are either bullish or bearish. The resulting pattern is identical to that of Marker 1. 4 — Divergences • Divergences are displayed as a small circle at the top of the scale. Four different types of divergence events can be detected. Divergences occur whenever the bull/bear bias of the method used diverges with the bar's price direction. • An option allows you to include in divergence events instances where the count of neutral intrabars exceeds 50% of the total intrabar count. • The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It excludes any association of a pre-determined bullish/bearish bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by price's position relative to the levels, which is how I think divergences can be put to the most effective use. 5 — Background • The background can show a bull/bear gradient on four different calculations. You can adjust its brightness to make its visual importance proportional to how you use it in your analysis. 6 — Chart bars • Chart bars can be colored using five different methods. • You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, the idea behind this being that movement on bars where volume does not increase is less relevant. 7 — Intrabar Resolution You can choose between three modes. Two of them are automatic and one is manual:   a) Fast, Longer history, Auto-Steps (~12 intrabars) : Optimized for speed and deeper history. Uses an average minimum of 12 intrabars.   b) More Precise, Shorter History Auto-Steps (~24 intrabars) : Uses finer intrabar resolution. It is slower and provides less history. Uses an average minimum of 24 intrabars.   c) Fixed : Uses the fixed resolution of your choice. Auto-Steps calculations vary for 24/7 and conventional markets in order to achieve the proper target of minimum intrabars. You can choose to view the intrabar resolution currently used to calculate delta volume. It is the default. The proper selection of the intrabar resolution is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors. 8 — Markers Six markers are available: 1. Combined Balances Agreement : All three Bar Balances are either bullish or bearish. 2. Up or Down % Agrees With Bar : An up marker will appear when the percentage of up intrabars in an up chart bar is greater than the specified percentage. Conditions mirror to down bars. 3. Divergence confirmations By Price : One of the four types of balance calculations can be used to detect divergences with price. Confirmations occur when the bar following the divergence confirms the balance bias. Note that the divergence events used here do not include neutral intrabar events. 4. Balance Transitions : Bull/bear transitions of the selected balance. 5. Markers Bias Transitions : Bull/bear transitions of the Markers Bias. 6. Divergence Confirmations By Line : Marks points where the line first breaches a divergence level. Markers appear when the condition is detected, without delay. Since nothing is plotted in realtime, markers do not appear on the realtime bar. 9 — Settings • Two modes can be selected to dampen the line on the ratio of neutral intrabars. • A distinct weight can be attributed to the count of the latter half of intrabars, on the assumption that later intrabars may be more important in determining the outcome of chart bars. • Allows control over the periods of the different moving averages used in calculations. • The default periods used for the various calculations define the following hierarchy from slow to fast:   Balance Averages: 50,   Balance Momentum: 20,   Dual Up/Down Averages: 20,   Marker Bias: 10. █  LIMITATIONS • This script uses a special characteristic of the `security()` function allowing the inspection of intrabars—which is not officially supported by TradingView. • The method used does not work on the realtime bar—only on historical bars. • The indicator only works on some chart resolutions: 3, 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars and the stepping mechanism could require adaptation. • When using the "Line vs Divergence Levels — Dual Color Gradient" color mode to fill the line, background or chart bars, keep in mind that a line calculation mode must be defined for it to work, as it determines gradients on the movement of the line relative to divergence levels. If the line is hidden, it will not work. • When the difference between the chart’s resolution and the intrabar resolution is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this. • Alerts do not work reliably when `security()` is used at intrabar resolutions. Accordingly, no alerts are configured in the indicator. • The color model used in the indicator provides for fancy visuals that come at a price; when you change values in Inputs , it can take 20 seconds for the changes to materialize. Luckily, once your color setup is complete, the color model does not have a large performance impact, as in normal operation the `security()` calls will become the most important factor in determining response time. Also, once in a while a runtime error will occur when you change inputs. Just making another change will usually bring the indicator back up. █  RAMBLINGS Is this thing useful? I'll let you decide. Bar Balance acts somewhat like an X-Ray on bars. The intrabars it analyzes are no secret; one can simply change the chart's resolution to see the same intrabars the indicator uses. What the indicator brings to traders is the precise count of up/down/neutral intrabars and, more importantly, the calculations it derives from them to present the information in a way that can make it easier to use in trading decisions. How reliable is Bar Balance information? By the same token that an up bar does not guarantee that more up bars will follow, future price movements cannot be inferred from the mere count of up/down/neutral intrabars. Price movement during any chart bar for which, let's say, 12 intrabars are analyzed, could be due to only one of those intrabars. One can thus easily see how only relying on bar balance information could be very misleading. The rationale behind Bar Balance is that when the information mined for multiple chart bars is aggregated, it can provide insight into the history behind chart bars, and thus some bias as to the strength of movements. An up chart bar where 11/12 intrabars are also up is assumed to be stronger than the same up bar where only 2/12 intrabars are up. This logic is not bulletproof, and sometimes Bar Balance will stray. Also, keep in mind that balance lines do not represent price momentum as RSI would. Bar Balance calculations have no idea where price is. Their perspective, like that of any historian, is very limited, constrained that it is to the narrow universe of up/down/neutral intrabar counts. You will thus see instances where price is moving up while Balance Momentum, for example, is moving down. When Bar Balance performs as intended, this indicates that the rally is weakening, which does necessarily imply that price will reverse. Occasionally, price will merrily continue to advance on weakening strength. Divergences Most of the divergence detection methods used here rely on a difference between the bias of a calculation involving a multi-bar average and a given bar's price direction. When using "Bar Balance on Bar" however, only the bar's balance and price movement are used. This is the default mode. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for the purported ability of bullish/bearish divergences to indicate imminent reversals. Superfluity In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . Bar Balance can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to Bar Balance and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason—not for window dressing. █  NOTES For traders • To avoid misleading traders who don't read script descriptions, the indicator shows nothing in the realtime bar. • The Data Window shows key values for the indicator. • All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a fixed scale. • Note that because of the way gradients are optimized internally, changing their brightness will sometimes require bringing down the value a few steps before you see an impact. • Because this indicator does not use volume, it will work on all markets. For coders • For those interested in gradients, this script uses an advanced version of the Advance/Decline gradient function from the PineCoders Color Gradient (16 colors) Framework . It allows more precise control over the range, steps and min/max values of the gradients. • I use the PineCoders Coding Conventions for Pine to write my scripts. • I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes. █  THANKS TO: — alexgrover who helped me think through the dampening method used to attenuate signal lines on high ratios of neutral intrabars. — A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator . The technique I use to inspect intrabars is derived from Kuan's code. — theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar resolutions. — midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics. He is also the co-author of the PineCoders Color Gradient Frameworks .
Pine Script®指标
由LucF提供
29
Volume Squeeze Momentum by HypesterTradingview is basically composed by reskins of many great contributors such as Chrismood, Lazybear, RicardoSandos and a few others. Without those guys I would not be able to learn how to code PINE - since the "documentation" is horrible and support is basically also non-existent. So thank you! So here is another contribution to the community, which I chose to not disclose the code since the community usually reskin the code and do not give credit and this code is 100% mine. I believe that the volume tools available are poor and lagging so here is my contribution. I use this tool to filter noise and eliminate fake reversal signals, momentum readings and trend changes on my Spectro M. Use at your own risk. I've added some pre-set volume profiles and trend configs. Also, the bar colors for ease of use, and all of that can be easily turned on/off and changed in the config menu. Let me know what you think!
Pine Script®指标
由spectertrading提供
8
YZUHere's a comprehensive TradingView description for your YZU indicator: --- # **YZU - Multi-Timeframe Trading Suite** ## 📊 **Overview** **YZU** is an advanced, all-in-one trading indicator that combines **swing analysis, volume profiling, multi-timeframe visualization, smart trend detection, and market structure tools** into a single comprehensive package. Designed for serious traders, it provides institutional-grade insights across multiple timeframes with clean visual presentation. ## ✨ **Key Features** ### **1. Swing & Pivot Analysis** - **Smart Pivot Detection**: Identifies swing highs/lows with adjustable lookback periods - **Volume-at-Price (VPoP)**: Displays volume concentration at swing levels - **Filter Options**: Filter swing areas by count or volume threshold - **Customizable Styles**: Separate colors for swing highs/lows and their areas ### **2. Multi-Timeframe Candlestick Display** - **6 Higher Timeframe Windows**: Visualize up to 6 different timeframes simultaneously - **Custom Candle Styling**: Bull/bear colors, borders, wicks, and transparency - **Imbalance Detection**: Automatic Fair Value Gaps (FVG) and Volume Imbalances - **Trace Lines**: Visual lines connecting HTF candle components to current price - **Day-of-Week Labels**: For daily candles (optional) ### **3. Market Structure Tools** - **Breakaway FVG Detection**: Identifies strong momentum gaps with bullish/bearish bias - **Trendline Generation**: Automatically draws trendlines from recent fractals - **Supertrend Integration**: Modified ATR-based trend detection with sensitivity adjustment - **Heikin Ashi Conversion**: For cleaner trend visualization ### **4. Volume & Momentum Analysis** - **Vector Candles**: Color-coded volume analysis (Climax, Rising, Normal) - **Volume Profile**: Intra-bar volume precision with lower timeframe data - **VWAP Integration**: Custom period VWAP with dynamic coloring - **Comparative Analysis**: VIX/Volatility comparison table ### **5. Trading Signals & Alerts** - **Buy/Sell Signals**: From Supertrend and vector candle patterns - **Pattern Alerts**: Red/Green, Green/Red, and other vector candle transitions - **New Trendline Alerts**: Notifications when new market structure forms - **Vector Candle Alerts**: Real-time volume climax detection ## ⚙️ **Customization Options** ### **Visual Settings** - **Color Schemes**: Fully customizable colors for all components - **Label Sizes**: Tiny to Huge options for all text elements - **Display Toggles**: Show/hide individual components - **Position Controls**: Label positioning (Top/Bottom/Both) ### **Timeframe Controls** - **HTF Selection**: Choose 6 different higher timeframes - **Display Limit**: Control how many HTFs to show - **Custom Daily Open**: Adjust daily candle start time (Midnight, 8:30, 9:30 EST) - **Remaining Time**: Countdown to next HTF candle close ### **Detection Parameters** - **Pivot Lookback**: 1-500 bars - **ATR Settings**: Period and multiplier for trend detection - **Sensitivity**: Fine-tune signal responsiveness - **Volume Thresholds**: Custom levels for climax detection ## 🎯 **Use Cases** ### **For Swing Traders** - Identify key swing points with volume confirmation - Track higher timeframe structure while trading lower TFs - Spot Fair Value Gaps for potential reversal/continuation zones ### **For Day Traders** - Multi-timeframe alignment visualization - Volume climax detection for entry/exit timing - Intraday VWAP and trend direction signals ### **For Market Analysts** - Comprehensive volume profile analysis - Market structure tracking with automatic trendlines - Volatility comparison with VIX/other instruments ## 🔧 **Technical Details** - **Max Lines/Labels**: 500 each (adjustable) - **Overlay**: True (draws on main chart) - **Version**: Pine Script v5 - **Repainting**: Minimal (uses bar confirmation where possible) - **Performance**: Optimized for real-time use ## 📈 **Indicator Components Visualized** 1. **Main Chart**: Price action with colored vector candles 2. **Right Side**: Multi-timeframe candle displays (stacked) 3. **Top/Bottom**: Swing levels with volume labels 4. **Overlay**: VWAP, Supertrend, trendlines 5. **Bottom Right**: Comparative volatility table 6. **Boxes**: FVGs and imbalance zones ## ⚠️ **Important Notes** - **Best on Intraday**: Optimized for minute/hourly charts - **Resource Intensive**: Uses multiple security calls and drawings - **Customization Required**: Adjust colors/settings to match your chart style - **Combination Tool**: Uses multiple strategies - understand each component ## 🚀 **Recommended Setup** 1. **Start Simple**: Enable only 1-2 HTFs initially 2. **Set Colors**: Adjust to match your chart theme 3. **Configure Alerts**: Choose 2-3 key alert types 4. **Adjust Sensitivity**: Start with default, then tweak based on instrument 5. **Add to Watchlist**: Compare multiple symbols --- **Pro Tip**: This is a complex indicator - spend time understanding each component separately before using them together. The real power comes from how these tools interact across timeframes. *Note: This is a trading tool, not a trading system. Always use proper risk management and combine with your own analysis.*
Pine Script®指标
由appypk提供
Multi-Exchange Liquidation Map [Composite]Multi-Exchange Liquidation Heatmap Institutional-Grade Liquidity Mapping (Pine Script v6) 🔵 Overview The Multi-Exchange Liquidation Heatmap is a sophisticated visualization tool designed to reveal "Price Magnets" and "Max Pain" levels where high-leverage traders are forcibly liquidated. Unlike traditional volume profiles that only show past trades, this indicator projects future risk zones based on exchange margin-call mathematics. By aggregating real-time data from Binance, Bybit, BitMEX, Coinbase, and Bitfinex, it provides a "composite" view of the market. This allows you to spot liquidity clusters that are invisible if you only monitor a single exchange. ⚙️ How It Works: The Logic The script operates on a deterministic mathematical model rather than a heuristic/estimated one: Pivot Detection: It identifies significant Swing Highs and Swing Lows (Pivots) across all enabled exchanges. Margin Mathematics: For every pivot, it calculates exact liquidation prices for 100x, 50x, and 25x leverage tiers using the standard exchange formulas: * Long Liquidation: Pliq​=Pentry​×(1−L1​) Short Liquidation: Pliq​=Pentry​×(1+L1​) * Composite Aggregation: Because a "wick" might be deeper on Bybit than on Binance , the script marks both levels. This creates a more accurate and denser "Liquidity Wall." Heatmap Visuals (Alpha Blending): Each zone is drawn with 95% transparency. When levels from different exchanges or different leverage tiers overlap at the same price, the color intensifies (darkens). These "hot zones" represent high-probability reversal or acceleration points. Dynamic Sweeping: To keep your chart clean, the script automatically deletes a box once the market price "sweeps" through it. This ensures you only see untaken liquidity. 🛠️ How to Setup & Configure 1. Multi-Exchange Input In the settings, you can toggle specific data feeds: Binance & Bybit: Pre-configured for Perpetual contracts (e.g., BINANCE:BTCUSDTPERP). BitMEX: Captures "Starved Whales" and older market participants. Coinbase (Spot): While Spot has no liquidations, traders use Coinbase Swing points for Stop-Losses. Zoned at 25x to represent "Hedging Support." Custom / Hyperliquid Proxy: Since Hyperliquid isn't native to TV yet, use this field to input a custom ticker (e.g., OKX:BTCUSDTPERP or BYBIT:HYPEUSDT.P). 2. Filtering & Sensitivity Volume Filter Multiplier: Only pivots with a volume spike (e.g., 1.5x the 50-SMA) generate zones. This filters out retail "noise" and focuses on institutional entries. Pivot Lookback: Set how many candles are required to confirm a swing. A value of 5 is ideal for intraday trading. 📈 Trading Strategy: Liquidations vs. Volatility How to Trade: The Magnet Effect: Price is attracted to dense "Heatmap" clusters. Use these zones as Take-Profit targets. The Exhaustion Signal: When price slams into a 50x or 100x liquidation zone and then pulls back, it is a high-confidence signal that the "fuel" for the move has been exhausted. The Cascade: If 100x liquidations trigger a move into 50x levels, expect a rapid "cascade" or "flash wick." ⚠️ Technical Performance This script is built on Pine Script v6, utilizing User-Defined Types (UDT) and Matrix-based Garbage Collection for maximum efficiency. Request Limit: TradingView limits scripts to 40 request.security calls. This script uses approximately 10-15 calls, leaving you plenty of headroom for other indicators. Resolution: For the best results, use the 5m, 15m, or 1h timeframes. Disclaimer: Liquidation levels are theoretical proxies based on common leverage settings. This tool should be used as confluence for price action and market structure analysis.
Pine Script®指标
由Notemptyone提供
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM) OVERVIEW Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE CORE PROBLEM THIS INDICATOR ADDRESSES Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context). SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow: LAYER 1: MOMENTUM FUEL GAUGE This answers the question: "Does the current move still have energy?" After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors: Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range. Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher. Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation. Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime. These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where: - Above 70% = Strong momentum (green) - 40-70% = Moderate momentum (amber) - Below 40% = Weak momentum (red) - Below 20% = Exhausted (triggers EXIT warning) The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate. IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy. LAYER 2: TRAP ZONE DETECTION This answers the question: "Am I walking into a potential reversal area?" Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points: How it works: 1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot). 2. Recent swing points are stored (up to 10 of each type). 3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR. 4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones. 5. A Confluence Score is calculated based on cluster density and proximity to current price. The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal. CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data. LAYER 3: VELOCITY ANALYSIS This answers the question: "Is price moving favorably right now?" Velocity measures how fast price is currently moving compared to its recent average: Calculation: - Current velocity = Absolute price change from previous bar divided by ATR - Average velocity = Simple moving average of velocity over the lookback period - Velocity ratio = Current velocity divided by average velocity Classification: - FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays. - NORMAL (ratio 0.5 to 1.5) : Typical price movement speed. - SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult. The velocity score contributes 18% to the overall quality score calculation. LAYER 4: SESSION AWARENESS This answers the question: "Is this a good time to trade?" Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment: Session Times (all in UTC): - A sia Session : 00:00 - 08:00 UTC - London Session : 08:00 - 16:00 UTC - New York Session : 13:00 - 21:00 UTC - London/NY Overlap : 13:00 - 16:00 UTC - Off-Peak : Outside major sessions Session Quality Weighting: - Overlap : 100 points (highest liquidity, best movement) - London : 85 points - New York : 80 points - Asia : 50 points (tends to range more) - Off-Peak : 30 points (lower liquidity, more false signals) The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours. Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing. LAYER 5: VOLATILITY REGIME ADAPTATION This answers the question: "How should I adjust for current market conditions?" SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market: HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections. NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply. LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility. This adaptation prevents false signals during erratic markets and missed signals during quiet markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE SYNERGY: WHY THIS COMBINATION MATTERS These five layers are not independent indicators placed on one chart. They form an interconnected system: - A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime). - The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals. - Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones. - The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals. - Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours. This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW THE QUALITY SCORE IS CALCULATED The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short): For Long Quality Score: - Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise - Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20) - Velocity Component (18% weight) : Direct velocity score - Session Component (17% weight) : Current session quality score - Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA For Short Quality Score: - Same structure but reversed (bearish impulse direction, trap zone above, price below SMA) The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL TYPES AND WHAT THEY MEAN SPM generates four types of signals, each with specific visual representation: PRIME SIGNALS (Cyan Diamond) These represent the highest quality confluence. Requirements: - Quality score crosses above the Prime threshold (default 80) - Bias aligns with signal direction - Fuel is sufficient (above 40%) - Session is active (not off-peak) - Cooldown period has passed Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above. STANDARD SIGNALS (Green Triangle Up / Red Triangle Down) These represent good quality setups. Requirements: - Quality score crosses above the Standard threshold (default 75) but below Prime - Same bias, fuel, and cooldown requirements as Prime Standard signals appear as small triangles in green (long) or red (short). CAUTION SIGNALS (Small Faded Circle) These represent minimum threshold setups. Requirements: - Quality score crosses above the Caution threshold (default 65) but below Standard - Same additional requirements Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions. EXHAUSTION SIGNAL (Purple X with "EXIT" text) This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to: - Consider exiting existing positions - Avoid entering new trades in the current direction - Wait for new momentum to develop All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ READING THE CHART ELEMENTS TRAP ZONES (Red Dashed Box with "TRAP XX%" Label) These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity. How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it. ENTRY ZONES (Green Solid Box with "ENTRY" Label) These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance). How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur. TARGET ZONES (Blue Dotted Box with "TARGET" Label) These project potential take-profit areas based on ATR multiples, adjusted for: - Current volatility regime (wider in high volatility, tighter in low) - Impulse direction (larger targets when aligned with impulse) - Nearby trap zones (targets adjust to avoid placing TP inside trap zones) How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably. STOP LEVEL (Orange Dashed Line with "STOP" Label) This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists). How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level. Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE DASHBOARD (Top Right Panel) The main dashboard provides comprehensive market context: Row 1 - Header: - "SPM " : Indicator name - Market State : Current overall condition Market States Explained: - PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities. - READY : Good conditions. Quality score meets standard threshold. Solid setups available. - WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended. - AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals. - EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting. Row 2-3 - Quality Bars: - " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty) - " DN ########## " : Visual meter for short quality - The number on the right shows the exact quality score Row 4 - Bias: - Shows current directional lean: LONG, SHORT, or NEUTRAL - Color-coded: Green for long, red for short, gray for neutral Rows 5-7 (Full Mode Only) - Trade Levels: - Entry : Suggested entry price for current bias direction - Stop : Suggested stop-loss price - Target : Projected take-profit price Row 8 - Risk:Reward Ratio: - Format : "1:X.X" where X.X is the reward multiple - Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1 Row 9 - Fuel: - Shows percentage and estimated bars remaining in parentheses - Example : "72% (8)" means 72% fuel with approximately 8 bars remaining - Color-coded : Green above 70%, amber 40-70%, red below 40% Row 10-11 (Full Mode Only) - Market Conditions: - Vol : Current volatility regime (HIGH/NORMAL/LOW) - Speed : Current velocity zone (FAST/NORMAL/SLOW) Row 12 - Session: - Shows active trading session - Color-coded by session type Row 13 (Full Mode Only) - Remaining: - Time remaining in current session (hours and minutes) Row 14 (Conditional) - Trap Warning: - Appears when a significant trap zone exists in your bias direction - Shows direction (ABOVE/BELOW) and confluence percentage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE QUICK PANEL (Bottom Left) The Quick Panel provides essential information at a glance without looking away from price action: Row 1: Current Bias and Quality Score (large text for quick reading) Row 2: Market State Row 3: Fuel Percentage Row 4: Estimated Bars Remaining Row 5: Risk:Reward Ratio Row 6: Current Session Both panels can be repositioned using the settings, and each can be toggled on/off independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS EXPLAINED CORE SETTINGS: Analysis Lookback (Default: 20) Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise. Swing Detection Length (Default: 5) Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones). Impulse Sensitivity (Default: 1.5) Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant. SIGNAL SETTINGS: Prime/Standard/Caution Thresholds (Defaults: 80/75/65) These control the quality score required for each signal tier. You can adjust these based on your preference: - More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals - More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality Signal Cooldown (Default: 8 bars) Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh. Show Prime/Standard/Caution/Exhaustion Signals Toggle each signal type on or off based on your preference. ZONE DISPLAY: Show Trap Zones / Entry Zones / Target Zones / Stop Levels Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter. Zone Transparency (Default: 88) Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent. Zone History (Default: 25 bars) How far back zone boxes extend on the chart. Purely visual preference. BACKGROUND: Background Mode (Options: Off, Subtle, Normal) Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely. Background Type (Options: Bias, Fuel) - Bias : Colors background based on current directional lean (green for long, red for short) - Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low) DASHBOARD / QUICK PANEL: Show Dashboard / Show Quick Panel Toggle each panel on or off. Compact Mode When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining. Position Settings Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left. ALERTS: Alert Prime Signals / Standard Signals / Fuel Exhaustion Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECOMMENDED TIMEFRAMES AND USAGE OPTIMAL TIMEFRAMES: - 1-minute to 5-minute : Best for active scalping with quick entries and exits - 5-minute to 15-minute : Balanced scalping with slightly more confirmation - 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes. BEST PRACTICES: 1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better. 2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny. 3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions. 4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level. 5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1). 6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results. 7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PRACTICAL EXAMPLE Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar. Before entering, you check the dashboard: - State shows "PRIME" - conditions are favorable - Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars) - R:R shows "1:2.3" - acceptable risk-to-reward ratio - Session shows "LONDON" - active session with good liquidity - No TRAP warning in dashboard - no immediate resistance cluster in your way - Entry zone visible on chart at a lower price level - Stop and Target zones clearly marked With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade. However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones. This multi-factor confirmation delivered in a single glance is what SPM provides. Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA WINDOW VALUES For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected): - Long Quality Score (0-100) - Short Quality Score (0-100) - Fuel Gauge (0-100%) - Risk:Reward Ratio These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NON-REPAINTING CONFIRMATION All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means: - Signals appear at the OPEN of the new bar (after the previous bar closes) - Signals will NEVER disappear once they appear - Signals will NEVER change position on historical bars - What you see in backtesting is what you would have seen in real-time The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT DISCLAIMERS TERMINOLOGY CLARIFICATION: This indicator uses terms that might imply access to data it does not have. To be completely transparent: - "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels. - "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data. - "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success. - The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal. TRADING RISK WARNING: Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable. Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY STATEMENT - NOT A MASHUP Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis: - The Fuel Gauge decay model with its four-component weighted calculation - The Trap Zone cluster detection with confluence scoring - The multi-factor quality scoring system that integrates all layers - The trap-aware entry and target zone placement logic - The volatility regime adaptation across all components - The session weighting is integrated into the quality assessment The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For best results, combine SPM with your own market understanding and always practice proper risk management. -BullByte
Pine Script®指标
由BullByte提供
24
A.I. Optimus Prime [RubiXalgo]A.I. Optimus Prime – Advanced Trend & Volume IndicatorInspired by the Rubik's Cube analogy: Just as a speed cuber solves complex patterns through precise rotations, this indicator uses dynamic AI-driven calculations (Kalman filters, k-NN machine learning, LOWESS smoothing, and volume delta analysis) to reveal market structure, trend direction, support/resistance, and high-probability liquidation zones.Key Features: • Dual Kalman Trend Lines: Fast (responsive) and Slow (stable) trend lines with adaptive color gradients for clear bullish (green/teal) or bearish (red/purple) bias. • Dynamic Candle Coloring: Optional gradient candle fills based on AI trend momentum (best with hollow candles to avoid overlap). • Multi-Timeframe Moving Averages: Up to 5 customizable HTF levels (SMA/DEMA/TEMA/VWMA) with on-chart lines and a trend table showing directional arrows. • Volume Profit-Trend Polyline: Forward-projected curve predicting price direction via cumulative volume delta and Ichimoku-inspired wave analysis. • Liquidation Window (LiqD): Trade setup zones with stop loss, entry, and 3 profit targets – visualizes potential liquidations and mean-reversion areas. • Dynamic Volume Profile Channel: Linear regression-based volume profile with VPOC (point of control) highlighting high-volume nodes and trend-adjusted angles. • Speed Lanes & Targets: Adaptive support/resistance fills and precise target markers for entries/exits.High-Probability Signals: • Longs: Green trend confirmation + green volume polyline curving up + price bounce from green VPOC or liquidation entry. • Shorts: Red trend confirmation + red volume polyline curving down + price rejection at red VPOC or liquidation entry. Ideal for 3:1+ risk-reward setups when volume trend aligns with liquidation window.Settings Highlights: • VSQC Dynamic Scaling Lookback (default 9): Core speed control – lower for faster response, higher for smoother trends. • Accelerator Multiplier & Momentum Window: Fine-tune AI adaptation to volatility. • Color Themes: Classic (red/green) or Crypto (teal/purple).Educational & Informational Use Only – Not financial advice. Backtest thoroughly. Past performance is not indicative of future results.Created by StupidBitcoin | Powered by advanced machine learning & open-source contributions. Enjoy the solve!
Pine Script®指标
由Jesse_Geluk提供
Breakout LevelsBreakout Levels - User Guide Overview The Breakout Levels indicator automatically detects and displays significant breakout candles across multiple timeframes. A breakout occurs when price makes a strong, decisive move - identified by candles with unusually large bodies relative to average volatility. These breakout levels often act as future support/resistance zones, making them valuable reference points for trading decisions. What is a Breakout? A breakout is detected when a candle's body size (the distance between open and close) is significantly larger than normal. By default, the script looks for candles that are 2x the ATR (Average True Range) or larger. Example: If the 14-period ATR is $5, a candle with a $10+ body would qualify as a breakout These represent strong, committed moves by the market The script marks the high of bullish breakouts and the low of bearish breakouts Settings Guide Timeframes Toggle which timeframes to monitor for breakouts: Show Daily Breakouts - Green/Red levels from daily chart breakouts Show 4H Breakouts - 4-hour timeframe breakouts Show 1H Breakouts - 1-hour timeframe breakouts Show 15M Breakouts - 15-minute timeframe breakouts Tip: When running on a 15-minute chart, you can see breakouts from all higher timeframes simultaneously. Lookback (How Far Back to Display) Controls how many bars back to show levels for each timeframe: TimeframeDefaultWhat it Means15M50 bars~12.5 hours of breakout history1H200 bars~8 days of breakout history4H250 bars~42 days of breakout historyDaily300 bars~300 days (nearly 1 year) Why adjust this? Increase to see more historical levels (may clutter chart) Decrease to focus only on recent breakouts Older levels are still stored, just not displayed Detection Settings Breakout Candle Size (x ATR) Default: 2.0 Range: 1.0 to 5.0 What it does: Multiplier for what qualifies as a "big" candle SettingSensitivityUse Case1.0-1.5Very sensitiveCatches more breakouts, but may include false moves2.0Balanced (default)Good mix of quality and quantity3.0-5.0Very selectiveOnly the most explosive moves Recommendation: Start with 2.0 and adjust based on your market and trading style. Visual Settings Bullish Breakout Color Default: Green with 60% transparency Marks levels where price broke upward strongly Bearish Breakout Color Default: Red with 60% transparency Marks levels where price broke downward strongly Show Labels Toggle labels on/off Labels display: BO Example: "4H BO 150.25" Turn OFF for cleaner charts when you just want the lines How to Use This Indicator 1. Identify Key Breakout Zones Breakout levels often become magnets where price returns later: Former resistance (where price broke up) becomes future support Former support (where price broke down) becomes future resistance 2. Look for Confluence When multiple timeframe breakouts cluster near the same price: 15M + 1H + 4H breakouts all near $150 = strong level More confluence = more significant level 3. Watch for Retests After a breakout, price often returns to test that level: Bullish breakout retest from above = potential long entry Bearish breakout retest from below = potential short entry 4. Combine with Other Analysis Use breakout levels alongside: Your own support/resistance analysis Volume profiles Fibonacci levels Candlestick patterns at these levels Practical Examples Example 1: Clean Breakout and Retest Daily candle closes up with a huge body (2.5x ATR) Green line drawn at the high of that candle Price pulls back 3 days later and bounces exactly off that green line Trade opportunity: Long entry at the retest with stop below Example 2: Failed Breakout 4H bearish breakout draws a red line at the low Price immediately reverses back above the level Signal: The breakout was false - consider this a stop hunt zone Example 3: Multi-Timeframe Confluence Daily breakout at $100 4H breakout at $100.50 1H breakout at $99.80 Strong cluster zone: $99.80-$100.50 becomes a major decision point Best Practices DO: ✅ Start with default settings (2.0x ATR, default lookbacks) ✅ Use on a 15-minute chart to see all timeframes ✅ Look for price reactions at these levels before trading ✅ Combine with volume - breakouts with high volume are more reliable ✅ Turn off labels when chart gets too busy DON'T: ❌ Treat every line as guaranteed support/resistance ❌ Set breakout multiplier too low (<1.5) - creates noise ❌ Ignore the context - check what's happening in the broader market ❌ Trade blindly at these levels without confirmation Troubleshooting "Too many lines on my chart" Reduce the lookback settings Turn off some timeframes (maybe just show Daily + 4H) Increase the breakout multiplier to 2.5 or 3.0 "Not showing any levels" Lower the breakout multiplier to 1.5 Increase lookback settings Check that at least one timeframe toggle is ON Verify the market had actual volatility during the period "Labels are cluttering the chart" Turn off "Show Labels" in settings Lines will remain, labels disappear Technical Notes ATR Period: 14 (industry standard, not adjustable in this version) Max Lines: 500 (Pine Script limitation) Duplicate Filter: Levels within 0.3% of ATR are considered duplicates and filtered Chart Type: Works on any chart timeframe, optimized for 15-minute Asset Type: Works on stocks, forex, crypto, futures Summary The Breakout Levels indicator gives you a systematic way to identify where strong, committed market moves occurred. These levels often act as future decision points. Use them as reference zones to watch for price reactions, not as automatic trade signals. Quick Start: Add indicator to a 15-minute chart Leave default settings (2.0x ATR) Watch how price interacts with the levels over the next few days Adjust sensitivity based on your observations Happy trading! 📈
Pine Script®指标
由kb1ath提供
Ultimate Institutional Order Flow Pro [Pointalgo]Ultimate Institutional Order Flow (UIOF Pro) Ultimate Institutional Order Flow (UIOF Pro) is a multi-component market analysis indicator designed to study order flow behavior, liquidity interaction, volatility structure, and session-based participation. It integrates several commonly used market structure and order-flow concepts into a single visual framework. This script focuses on context and alignment, not on isolated signals. Core Objective The indicator aims to identify areas where price, volume, liquidity, and structure appear aligned in the same direction. It does this by combining: VWAP behavior Volume participation Cumulative delta analysis Liquidity pool interaction Order blocks and fair value gaps Market structure shifts Session and higher-timeframe confirmation VWAP & Volatility Framework Calculates VWAP using session, weekly, or monthly anchors. Optional VWAP standard-deviation bands visualize price dispersion. VWAP slope and price position are used to classify directional bias. VWAP is treated as a dynamic equilibrium reference rather than a signal. Cumulative Volume Delta (CVD) Estimates buy and sell pressure based on intrabar price movement. Tracks cumulative delta and a smoothed delta average. Uses delta change normalization to highlight abnormal activity. Detects potential delta divergences when price and participation differ. CVD is used to assess whether participation supports or contradicts price movement. Liquidity Zones & Sweeps Identifies recent swing highs and lows as potential liquidity pools. Tracks buy-side and sell-side liquidity areas. Flags conditions where price sweeps liquidity beyond recent extremes. Liquidity interaction is treated as context, not prediction. Order Blocks 1. Detects potential bullish and bearish order blocks using: Candle structure Volatility thresholds Volume confirmation 2.Highlights areas where strong participation followed opposing price movement. Order blocks are visual reference zones and do not imply guaranteed reactions. Fair Value Gaps (FVG) Identifies imbalance zones where price moves without overlapping structure. Filters gaps using ATR-based size conditions. Visual shading is used to highlight imbalance areas. These zones may represent inefficient price movement requiring further interaction. Volume Profile & Point of Control (POC) Builds a simplified volume profile over a configurable lookback window. Determines the price level with the highest traded volume (POC). POC is used as a reference for acceptance or rejection behavior. Market Structure Evaluates recent highs and lows to identify structure breaks. Classifies directional structure as bullish, bearish, or neutral. Structure is used as a directional filter rather than a trigger. Multi-Timeframe Confirmation Optional higher-timeframe confirmation aligns lower-timeframe behavior with broader context. Prevents analysis from relying on isolated timeframe conditions. Session Filtering 1. Allows analysis to be limited to specific trading sessions. 2. Helps reduce signals during low-participation periods. 3. Session logic affects signal eligibility, not calculations. Signal Logic Signals are generated only when multiple independent conditions align, including: Liquidity interaction Order block presence VWAP bias Delta confirmation Structure alignment Volume participation Optional higher-timeframe confirmation Active trading session Strong continuation conditions are also highlighted when price, volume, and participation remain aligned. Signals represent confluence states, not trade instructions. Dashboard Summary A real-time dashboard summarizes: VWAP bias and slope CVD strength and direction Delta behavior Market structure state Higher-timeframe context Volume conditions Liquidity pool counts Session activity This provides a high-level snapshot of market conditions without manual calculation. Alerts are available for: Institutional alignment conditions Strong continuation pressure Liquidity sweeps Delta divergences Alerts are informational and reflect internal indicator states only. Usage Notes Designed for analytical interpretation and market study. Best used alongside price action and risk management methods. Performance depends on instrument liquidity and volume quality. All visual elements can be individually enabled or disabled. Disclaimer This script is provided for educational and analytical purposes only. It does not provide financial, investment, or trading advice. All outputs should be independently verified before making trading decisions.
Pine Script®指标
由pointalgo提供
Market Regime# MARKET REGIME IDENTIFICATION & TRADING SYSTEM ## Complete User Guide --- ## 📋 TABLE OF CONTENTS 1. (#overview) 2. (#regimes) 3. (#indicator-usage) 4. (#entry-signals) 5. (#exit-signals) 6. (#regime-strategies) 7. (#confluence) 8. (#backtesting) 9. (#optimization) 10. (#examples) --- ## OVERVIEW ### What This System Does This is a **complete market regime identification and trading system** that: 1. **Identifies 6 distinct market regimes** automatically 2. **Adapts trading tactics** to each regime 3. **Provides high-probability entry signals** with confluence scoring 4. **Shows optimal exit points** for each trade 5. **Can be backtested** to validate performance ### Two Components Provided 1. **Indicator** (`market_regime_indicator.pine`) - Visual regime identification - Entry/exit signals on chart - Dynamic support/resistance - Info tables with live data - Use for manual trading 2. **Strategy** (`market_regime_strategy.pine`) - Fully automated backtestable version - Same logic as indicator - Position sizing and risk management - Performance metrics - Use for backtesting and automation --- ## THE 6 MARKET REGIMES ### 1. 🟢 BULL TRENDING **Characteristics:** - Strong uptrend - Price above SMA50 and SMA200 - ADX > 25 (strong trend) - Higher highs and higher lows - DI+ > DI- (bullish momentum) **What It Means:** - Market has clear upward direction - Buyers in control - Pullbacks are buying opportunities - Strongest regime for long positions **How to Trade:** - ✅ **BUY dips to EMA20 or SMA20** - ✅ Enter when RSI < 60 on pullback - ✅ Hold through minor corrections - ❌ Don't short against the trend - ❌ Don't sell too early **Expected Behavior:** - Pullbacks are shallow (5-10%) - Bounces are strong - Support at moving averages holds - Volume increases on rallies --- ### 2. 🔴 BEAR TRENDING **Characteristics:** - Strong downtrend - Price below SMA50 and SMA200 - ADX > 25 (strong trend) - Lower highs and lower lows - DI- > DI+ (bearish momentum) **What It Means:** - Market has clear downward direction - Sellers in control - Rallies are selling opportunities - Strongest regime for short positions **How to Trade:** - ✅ **SELL rallies to EMA20 or SMA20** - ✅ Enter when RSI > 40 on bounce - ✅ Hold through minor bounces - ❌ Don't buy against the trend - ❌ Don't cover shorts too early **Expected Behavior:** - Rallies are weak (5-10%) - Selloffs are strong - Resistance at moving averages holds - Volume increases on declines --- ### 3. 🔵 BULL RANGING **Characteristics:** - Bullish bias but consolidating - Price near or above SMA50 - ADX < 20 (weak trend) - Trading in range - Choppy price action **What It Means:** - Uptrend is pausing - Accumulation phase - Support and resistance zones clear - Lower volatility **How to Trade:** - ✅ **BUY at support zone** - ✅ Enter when RSI < 40 - ✅ Take profits at resistance - ⚠️ Smaller position sizes - ⚠️ Tighter stops **Expected Behavior:** - Range-bound oscillations - Support bounces repeatedly - Resistance rejections common - Eventually breaks higher (usually) --- ### 4. 🟠 BEAR RANGING **Characteristics:** - Bearish bias but consolidating - Price near or below SMA50 - ADX < 20 (weak trend) - Trading in range - Choppy price action **What It Means:** - Downtrend is pausing - Distribution phase - Support and resistance zones clear - Lower volatility **How to Trade:** - ✅ **SELL at resistance zone** - ✅ Enter when RSI > 60 - ✅ Take profits at support - ⚠️ Smaller position sizes - ⚠️ Tighter stops **Expected Behavior:** - Range-bound oscillations - Resistance holds repeatedly - Support bounces are weak - Eventually breaks lower (usually) --- ### 5. ⚪ CONSOLIDATION **Characteristics:** - No clear direction - Range compression - Very low ADX (< 15 often) - Price inside tight range - Neutral sentiment **What It Means:** - Market is coiling - Building energy for next move - Indecision between buyers/sellers - Calm before the storm **How to Trade:** - ✅ **WAIT for breakout direction** - ✅ Enter on high-volume breakout - ✅ Direction becomes clear - ❌ Don't trade inside the range - ❌ Avoid choppy scalping **Expected Behavior:** - Narrow range - Low volume - False breakouts possible - Explosive move when it breaks --- ### 6. 🟣 CHAOS (High Volatility) **Characteristics:** - Extreme volatility - No clear direction - Erratic price swings - ATR > 2x average - Unpredictable **What It Means:** - Market panic or euphoria - News-driven moves - Emotion dominates logic - Highest risk environment **How to Trade:** - ❌ **STAY OUT!** - ❌ No positions - ❌ Wait for stability - ✅ Protect existing positions - ✅ Reduce risk **Expected Behavior:** - Large intraday swings - Gaps up/down - Stop hunts - Whipsaws - Eventually calms down --- ## INDICATOR USAGE ### Visual Elements #### 1. Background Colors - **Light Green** = Bull Trending (go long) - **Light Red** = Bear Trending (go short) - **Light Teal** = Bull Ranging (buy dips) - **Light Orange** = Bear Ranging (sell rallies) - **Light Gray** = Consolidation (wait) - **Purple** = Chaos (stay out!) #### 2. Regime Labels - Appear when regime changes - Show new regime name - Positioned at highs (bullish) or lows (bearish) #### 3. Entry Signals - **Green "LONG"** labels = Buy here - **Red "SHORT"** labels = Sell here - Number shows confluence score (X/5 signals) - Hover for details (stop, target, RSI, etc.) #### 4. Exit Signals - **Orange "EXIT LONG"** = Close long position - **Orange "EXIT SHORT"** = Close short position - Shows exit reason in tooltip #### 5. Support/Resistance Lines - **Green line** = Dynamic support (buy zone) - **Red line** = Dynamic resistance (sell zone) - Adapts to regime automatically #### 6. Moving Averages - **Blue** = SMA 20 (short-term trend) - **Orange** = SMA 50 (medium-term trend) - **Purple** = SMA 200 (long-term trend) ### Information Tables #### Top Right Table (Main Info) Shows real-time market conditions: - **Current Regime** - What regime we're in - **Bias** - Long, Short, Breakout, or Stay Out - **ADX** - Trend strength (>25 = strong) - **Trend** - Strong, Moderate, or Weak - **Volatility** - High or Normal - **Vol Ratio** - Current vs average volatility - **RSI** - Momentum (>70 overbought, <30 oversold) - **vs SMA50/200** - Price position relative to MAs - **Support/Resistance** - Exact price levels - **Long/Short Signals** - Confluence scores (X/5) #### Bottom Right Table (Regime Guide) Quick reference for each regime: - What action to take - What strategy to use - Color-coded for quick identification --- ## ENTRY SIGNALS EXPLAINED ### Confluence Scoring System (5 Factors) Each entry signal is scored 0-5 based on how many factors align: #### For LONG Entries: 1. ✅ **Regime Alignment** - In Bull Trending or Bull Ranging 2. ✅ **RSI Pullback** - RSI between 35-50 (not overbought) 3. ✅ **Near Support** - Price within 2% of dynamic support 4. ✅ **MACD Turning Up** - Momentum shifting bullish 5. ✅ **Volume Confirmation** - Above average volume #### For SHORT Entries: 1. ✅ **Regime Alignment** - In Bear Trending or Bear Ranging 2. ✅ **RSI Rejection** - RSI between 50-65 (not oversold) 3. ✅ **Near Resistance** - Price within 2% of dynamic resistance 4. ✅ **MACD Turning Down** - Momentum shifting bearish 5. ✅ **Volume Confirmation** - Above average volume ### Confluence Requirements **Minimum Confluence** (default = 2): - 2/5 = Entry signal triggered - 3/5 = Good signal - 4/5 = Strong signal - 5/5 = Excellent signal (rare) **Higher confluence = Higher probability = Better trades** ### Specific Entry Patterns #### 1. Bull Trending Entry ``` Requirements: - Regime = Bull Trending - Price pulls back to EMA20 - Close above EMA20 (bounce) - Up candle (close > open) - RSI < 60 - Confluence ≥ 2 ``` #### 2. Bear Trending Entry ``` Requirements: - Regime = Bear Trending - Price rallies to EMA20 - Close below EMA20 (rejection) - Down candle (close < open) - RSI > 40 - Confluence ≥ 2 ``` #### 3. Bull Ranging Entry ``` Requirements: - Regime = Bull Ranging - RSI < 40 (oversold) - Price at or below support - Up candle (reversal) - Confluence ≥ 1 (more lenient) ``` #### 4. Bear Ranging Entry ``` Requirements: - Regime = Bear Ranging - RSI > 60 (overbought) - Price at or above resistance - Down candle (rejection) - Confluence ≥ 1 (more lenient) ``` #### 5. Consolidation Breakout ``` Requirements: - Regime = Consolidation - Price breaks above/below range - Volume > 1.5x average (explosive) - Strong directional candle ``` --- ## EXIT SIGNALS EXPLAINED ### Three Types of Exits #### 1. Regime Change Exits (Automatic) - **Long Exit**: Regime changes to Bear Trending or Chaos - **Short Exit**: Regime changes to Bull Trending or Chaos - **Reason**: Market character changed, strategy no longer valid #### 2. Support/Resistance Break Exits - **Long Exit**: Price breaks below support by 2% - **Short Exit**: Price breaks above resistance by 2% - **Reason**: Key level violated, trend may be reversing #### 3. Momentum Exits - **Long Exit**: RSI > 70 (overbought) AND down candle - **Short Exit**: RSI < 30 (oversold) AND up candle - **Reason**: Overextension, take profits ### Stop Loss & Take Profit **Stop Loss** (Automatic in strategy): - Placed at Entry - (ATR × 2) - Adapts to volatility - Protected from whipsaws - Typically 2-4% for stocks, 5-10% for crypto **Take Profit** (Automatic in strategy): - Placed at Entry + (Stop Distance × R:R Ratio) - Default 2.5:1 reward:risk - Example: $2 risk = $5 reward target - Allows winners to run --- ## TRADING EACH REGIME ### BULL TRENDING - Most Profitable Long Environment **Strategy: Buy Every Dip** **Entry Rules:** 1. Wait for pullback to EMA20 or SMA20 2. Look for RSI < 60 3. Enter when candle closes above MA 4. Confluence should be 2+ **Stop Loss:** - Below the recent swing low - Or 2 × ATR below entry **Take Profit:** - At previous high - Or 2.5:1 R:R minimum **Position Size:** - Can use full size (2% risk) - High win rate regime **Example Trade:** ``` Price: $100, pulls back to $98 (EMA20) Entry: $98.50 (close above EMA) Stop: $96.50 (2 ATR) Target: $103.50 (2.5:1) Risk: $2, Reward: $5 ``` --- ### BEAR TRENDING - Most Profitable Short Environment **Strategy: Sell Every Rally** **Entry Rules:** 1. Wait for bounce to EMA20 or SMA20 2. Look for RSI > 40 3. Enter when candle closes below MA 4. Confluence should be 2+ **Stop Loss:** - Above the recent swing high - Or 2 × ATR above entry **Take Profit:** - At previous low - Or 2.5:1 R:R minimum **Position Size:** - Can use full size (2% risk) - High win rate regime **Example Trade:** ``` Price: $100, rallies to $102 (EMA20) Entry: $101.50 (close below EMA) Stop: $103.50 (2 ATR) Target: $96.50 (2.5:1) Risk: $2, Reward: $5 ``` --- ### BULL RANGING - Buy Low, Sell High **Strategy: Range Trading (Long Bias)** **Entry Rules:** 1. Wait for price at support zone 2. Look for RSI < 40 3. Enter on reversal candle 4. Confluence should be 1-2+ **Stop Loss:** - Below support zone - Tighter than trending (1.5 ATR) **Take Profit:** - At resistance zone - Don't hold through resistance **Position Size:** - Reduce to 1-1.5% risk - Lower win rate than trending **Example Trade:** ``` Range: $95-$105 Entry: $96 (at support, RSI 35) Stop: $94 (below support) Target: $104 (at resistance) Risk: $2, Reward: $8 (4:1) ``` --- ### BEAR RANGING - Sell High, Buy Low **Strategy: Range Trading (Short Bias)** **Entry Rules:** 1. Wait for price at resistance zone 2. Look for RSI > 60 3. Enter on rejection candle 4. Confluence should be 1-2+ **Stop Loss:** - Above resistance zone - Tighter than trending (1.5 ATR) **Take Profit:** - At support zone - Don't hold through support **Position Size:** - Reduce to 1-1.5% risk - Lower win rate than trending **Example Trade:** ``` Range: $95-$105 Entry: $104 (at resistance, RSI 65) Stop: $106 (above resistance) Target: $96 (at support) Risk: $2, Reward: $8 (4:1) ``` --- ### CONSOLIDATION - Wait for Breakout **Strategy: Breakout Trading** **Entry Rules:** 1. Identify consolidation range 2. Wait for VOLUME SURGE (1.5x+ avg) 3. Enter on close outside range 4. Direction must be clear **Stop Loss:** - Opposite side of range - Or 2 ATR **Take Profit:** - Measure range height, project it - Example: $10 range = $10 move expected **Position Size:** - Reduce to 1% risk - 50% false breakout rate **Example Trade:** ``` Consolidation: $98-$102 (4-point range) Breakout: $102.50 (high volume) Entry: $103 Stop: $100 (back in range) Target: $107 (4-point range projected) Risk: $3, Reward: $4 ``` --- ### CHAOS - STAY OUT! **Strategy: Preservation** **What to Do:** - ❌ NO new positions - ✅ Close existing positions if near entry - ✅ Tighten stops on profitable trades - ✅ Reduce position sizes dramatically - ✅ Wait for regime to stabilize **Why It's Dangerous:** - Stop hunts are common - Whipsaws everywhere - News-driven volatility - No technical reliability - Even "perfect" setups fail **When Does It End:** - Volatility ratio drops < 1.5 - ADX starts rising (direction appears) - Price respects support/resistance again - Usually 1-5 days --- ## CONFLUENCE SYSTEM ### How It Works The system scores each potential entry on 5 factors. More factors aligning = higher probability. ### Confluence Requirements by Regime **Trending Regimes** (strictest): - Minimum 2/5 required - 3/5 = Good - 4-5/5 = Excellent **Ranging Regimes** (moderate): - Minimum 1-2/5 required - 2/5 = Good - 3+/5 = Excellent **Consolidation** (breakout only): - Volume is most critical - Direction confirmation - Less confluence needed ### Adjusting Minimum Confluence **If too few signals:** - Lower from 2 to 1 - More trades, lower quality **If too many false signals:** - Raise from 2 to 3 - Fewer trades, higher quality **Recommendation:** - Start at 2 - Adjust based on win rate - Aim for 55-65% win rate --- ## STRATEGY BACKTESTING ### Loading the Strategy 1. Copy `market_regime_strategy.pine` 2. Open Pine Editor in TradingView 3. Paste and "Add to Chart" 4. Strategy Tester tab opens at bottom ### Initial Settings ``` Risk Per Trade: 2% ATR Stop Multiplier: 2.0 Reward:Risk Ratio: 2.5 Trade Longs: ✓ Trade Shorts: ✓ Trade Trending Only: ✗ (test both) Avoid Chaos: ✓ Minimum Confluence: 2 ``` ### What to Look For **Good Results:** - Win Rate: 50-60% - Profit Factor: 1.8-2.5 - Net Profit: Positive - Max Drawdown: <20% - Consistent equity curve **Warning Signs:** - Win Rate: <45% (too many losses) - Profit Factor: <1.5 (barely profitable) - Max Drawdown: >30% (too risky) - Erratic equity curve (unstable) ### Testing Different Regimes **Test 1: Trending Only** ``` Trade Trending Only: ✓ Result: Higher win rate, fewer trades ``` **Test 2: All Regimes** ``` Trade Trending Only: ✗ Result: More trades, potentially lower win rate ``` **Test 3: Long Only** ``` Trade Longs: ✓ Trade Shorts: ✗ Result: Works in bull markets ``` **Test 4: Short Only** ``` Trade Longs: ✗ Trade Shorts: ✓ Result: Works in bear markets ``` --- ## SETTINGS OPTIMIZATION ### Key Parameters to Adjust #### 1. Risk Per Trade (Most Important) - **0.5%** = Very conservative - **1.0%** = Conservative (recommended for beginners) - **2.0%** = Moderate (recommended) - **3.0%** = Aggressive - **5.0%** = Very aggressive (not recommended) **Impact:** Higher risk = higher returns BUT bigger drawdowns #### 2. Reward:Risk Ratio - **2:1** = More wins needed, hit target faster - **2.5:1** = Balanced (recommended) - **3:1** = Fewer wins needed, hold longer - **4:1** = Very patient, best in trending **Impact:** Higher R:R = can have lower win rate #### 3. Minimum Confluence - **1** = More signals, lower quality - **2** = Balanced (recommended) - **3** = Fewer signals, higher quality - **4** = Very selective - **5** = Almost never triggers **Impact:** Higher = fewer but better trades #### 4. ADX Thresholds - **Trending: 20-30** (default 25) - Lower = detect trends earlier - Higher = only strong trends - **Ranging: 15-25** (default 20) - Lower = identify ranging earlier - Higher = only weak trends #### 5. Trend Period (SMA) - **20-50** = Short-term trends - **50** = Medium-term (default, recommended) - **100-200** = Long-term trends **Impact:** Longer period = slower regime changes, more stable ### Optimization Workflow **Step 1: Baseline** - Use all default settings - Test on 3+ years - Record: Win Rate, PF, Drawdown **Step 2: Risk Optimization** - Test 1%, 1.5%, 2%, 2.5% - Find best risk-adjusted return - Balance profit vs drawdown **Step 3: R:R Optimization** - Test 2:1, 2.5:1, 3:1 - Check which maximizes profit factor - Consider holding time **Step 4: Confluence Optimization** - Test 1, 2, 3 - Find sweet spot for win rate - Aim for 55-65% win rate **Step 5: Regime Filter** - Test with/without trend filter - Test with/without chaos filter - Find what works for your asset --- ## REAL TRADING EXAMPLES ### Example 1: Bull Trending - SPY **Setup:** - Regime: BULL TRENDING - Price pulls back from $450 to $445 - EMA20 at $444 - RSI drops to 45 - Confluence: 4/5 **Entry:** - Price closes at $445.50 (above EMA20) - LONG signal appears - Enter at $445.50 **Risk Management:** - Stop: $443 (2 ATR = $2.50) - Target: $451.75 (2.5:1 = $6.25) - Risk: $2.50 per share - Position: 80 shares (2% of $10k = $200 risk) **Outcome:** - Price rallies to $452 in 3 days - Target hit - Profit: $6.50 × 80 = $520 - Return: 2.6 × risk (excellent) --- ### Example 2: Bear Ranging - AAPL **Setup:** - Regime: BEAR RANGING - Range: $165-$175 - Price rallies to $174 - Resistance at $175 - RSI at 68 - Confluence: 3/5 **Entry:** - Rejection candle at $174 - SHORT signal appears - Enter at $173.50 **Risk Management:** - Stop: $176 (above resistance) - Target: $166 (support) - Risk: $2.50 - Position: 80 shares **Outcome:** - Price drops to $167 in 2 days - Target hit - Profit: $6.50 × 80 = $520 - Return: 2.6 × risk --- ### Example 3: Consolidation Breakout - BTC **Setup:** - Regime: CONSOLIDATION - Range: $28,000 - $30,000 - Compressed for 2 weeks - Volume declining **Breakout:** - Price breaks $30,000 - Volume surges 200% - Close at $30,500 - LONG signal **Entry:** - Enter at $30,500 **Risk Management:** - Stop: $29,500 (back in range) - Target: $32,000 (range height = $2k) - Risk: $1,000 - Position: 0.2 BTC ($200 risk on $10k) **Outcome:** - Price runs to $33,000 - Target exceeded - Profit: $2,500 × 0.2 = $500 - Return: 2.5 × risk --- ### Example 4: Avoiding Chaos - Tesla **Setup:** - Regime: BULL TRENDING - LONG position from $240 - Elon tweets something crazy - Regime changes to CHAOS **Action:** - EXIT signal appears - Close position immediately - Current price: $242 (small profit) **Outcome:** - Next 3 days: wild swings - High $255, Low $230 - By staying out, avoided: - Potential stop out - Whipsaw losses - Stress **Result:** - Small profit preserved - Capital protected - Re-enter when regime stabilizes --- ## ALERTS SETUP ### Available Alerts 1. **Bull Trending Regime** - Market goes bullish 2. **Bear Trending Regime** - Market goes bearish 3. **Chaos Regime** - High volatility, stay out 4. **Long Entry Signal** - Buy opportunity 5. **Short Entry Signal** - Sell opportunity 6. **Long Exit Signal** - Close long 7. **Short Exit Signal** - Close short ### How to Set Up 1. Click **⏰ (Alert)** icon in TradingView 2. Select **Condition**: Choose indicator + alert type 3. **Options**: Popup, Email, Webhook, etc. 4. **Message**: Customize notification 5. Click **Create** ### Recommended Alert Strategy **For Active Traders:** - Long Entry Signal - Short Entry Signal - Long Exit Signal - Short Exit Signal **For Position Traders:** - Bull Trending Regime (enter longs) - Bear Trending Regime (enter shorts) - Chaos Regime (exit all) **For Conservative:** - Only regime change alerts - Manually review entries - More selective --- ## TIPS FOR SUCCESS ### 1. Start Small - Paper trade first - Then 0.5% risk - Build to 1-2% over time ### 2. Follow the Regime - Don't fight it - Adapt your style - Different tactics for each ### 3. Trust the Confluence - 4-5/5 = Best trades - 2-3/5 = Good trades - 1/5 = Skip unless desperate ### 4. Respect Exits - Don't hope and hold - Cut losses quickly - Take profits at targets ### 5. Avoid Chaos - Seriously, just stay out - Protect your capital - Wait for clarity ### 6. Keep a Journal - Record every trade - Note regime and confluence - Review weekly - Learn patterns ### 7. Backtest Thoroughly - 3+ years minimum - Multiple market conditions - Different assets - Walk-forward test ### 8. Be Patient - Best setups are rare - 1-3 trades per week is normal - Quality over quantity - Compound over time --- ## COMMON QUESTIONS **Q: How many trades per month should I expect?** A: Depends on timeframe and settings. Daily chart: 5-15 trades/month. 4H chart: 15-30 trades/month. **Q: What's a good win rate?** A: 55-65% is excellent. 50-55% is good. Below 50% needs adjustment. **Q: Should I trade all regimes?** A: Beginners: Only trending. Intermediate: Trending + ranging. Advanced: All except chaos. **Q: Can I use this on any timeframe?** A: Best on Daily and 4H. Works on 1H with more noise. Not recommended <1H. **Q: What if I'm in a trade and regime changes?** A: Exit immediately (if using indicator) or let strategy handle it automatically. **Q: How do I know if I'm over-optimizing?** A: If results are perfect on one period but fail on another. Use walk-forward testing. **Q: Should I always take 5/5 confluence trades?** A: Yes, but they're rare (1-2/month). Don't wait only for these. **Q: Can I combine this with other indicators?** A: Yes, but keep it simple. RSI, MACD already included. Maybe add volume profile. **Q: What assets work best?** A: Liquid stocks, major crypto, futures. Avoid forex spot (use futures), penny stocks. **Q: How long to hold positions?** A: Trending: Days to weeks. Ranging: Hours to days. Breakout: Days. Let the regime guide you. --- ## FINAL THOUGHTS This system gives you: - ✅ Clear market context (regime) - ✅ High-probability entries (confluence) - ✅ Defined exits (automatic signals) - ✅ Adaptable tactics (regime-specific) - ✅ Backtestable results (strategy version) **Success requires:** - 📚 Understanding each regime - 🎯 Following the signals - 💪 Discipline to wait - 🧠 Emotional control - 📊 Proper risk management **Start your journey:** 1. Load the indicator 2. Watch for 1 week (no trading) 3. Identify regime patterns 4. Paper trade for 1 month 5. Go live with small size 6. Scale up as you gain confidence **Remember:** The market will always be here. There's no rush. Master one regime at a time, and you'll be profitable in all conditions! Good luck! 🚀
Pine Script®指标
由frankieho_92提供
Visible Range / POC / Volume / SNR Detector PROVisible Range POC & Volume SNR Detector PRO Visible Range POC & Volume SNR Detector PRO is a professional-grade volume-based market structure tool designed to identify institutional Support & Resistance zones, Point of Control (POC), and Value Areas directly from the visible chart range. This indicator goes beyond traditional swing highs and lows by analyzing real traded volume, revealing where large players are active, where price finds fair value, and where high-probability reactions are most likely to occur. 🔍 Core Features 📊 Visible Range Volume Profile 🔹Builds a full Volume Profile using only the visible chart range 🔹Splits price into configurable precision bins for maximum accuracy 🔹Detects true volume clusters instead of subjective price levels 🎯 Point of Control (POC) 🔹 Automatically identifies the highest-volume price level 🔹Acts as a magnet price where market participants agree on value 🔹Fully customizable line style, width, and color 🔹 Optional label with timeframe + price + volume (K / M / B) 📦 Value Area (VAH / VAL) * Calculates Value Area High & Low around the POC * Default **70% volume range** (institutional standard) * Optional Value Area fill for clear fair-value visualization * Helps distinguish **range conditions vs trending moves** 🧱 Volume-Based Support & Resistance Zones 🔹Automatically detects high-impact S&R zones from volume behavior 🔹Zones are visually classified by strength: 🔹 🟢 Strong 🔹 🟡 Medium 🔹 🔴 Weak 🔹Clean box rendering with customizable borders: 🔹 Solid / Dashed / Dotted 🔹 Zones extend dynamically into the future for planning trades 🔄 Dynamic Flip Logic (PRO Standard) 🔹 Advanced Dynamic Flip system: 🔹 Support ➜ Resistance after a breakdown 🔹Resistance ➜ Support after a breakout 🔹 Reflects real market structure shifts 🔹Eliminates outdated static levels 🔁 True Retest & Zone Intelligence 🔹Each zone includes detailed contextual data: 🔹🔄 True Retest Count (price leaves zone and comes back) 🔹⏳ Zone Age (minutes / hours / days) 🔹💪 Strength Classification 🔹🔁 Flip Status 🔹⏱️ Timeframe 🔹💲 Exact price level 🔹All information is displayed in a single clean label. 🔔 Smart Alerts System 🔹Never miss key interactions: 🔹🟢 Touch Alert — price enters a zone 🔹⬇️⬆️ Break Alert — zone failure or breakout 🔹🔄 Retest Alert — classic break & retest setup Alerts trigger on confirmed bars to reduce noise and false signals. 📋 Professional Dashboard 🔹At-a-glance market overview: 🔹Total Support & Resistance zones 🔹🎯 POC level 🔹📦 VA High / VA Low 🔹💪 Strong / Medium / Weak zone distribution 🔹📍 Nearest Support & Resistance 🔹📏 Distance to key levels 🔹 🎨 Auto / Dark / Light theme support 🔹 📐 Adjustable size & position
Pine Script®指标
由a_jabbaroff提供
4
Trendlines & SR ZonesIt's a comprehensive indicator (Pine Script v6) that represents two powerful technical analysis tools: automatic trendline detection based on pivot points and volume delta analysis with support/resistance zone identification. This overlay indicator helps traders identify potential trend directions and key price levels where significant buying or selling pressure has occurred. Features: = 1. Price Trendlines The indicator automatically identifies and draws trendlines based on pivot points, creating dynamic support and resistance levels. Key Components: Pivot Detection: Uses configurable left and right bars to identify significant pivot highs and lows Trendline Filtering: Only draws downward-sloping resistance trendlines and upward-sloping support trendlines Zone Creation: Creates filled zones around trendlines based on average price volatility Automatic Management: Maintains only the 3 most recent significant trendlines to avoid chart clutter Customization Options: Left/Right Bars for Pivot: Adjust sensitivity of pivot detection (default: 10 bars each side) Extension Length: Control how far trendlines extend past the second pivot (default: 50 bars) Average Body Periods: Set the lookback period for volatility calculation (default: 100) Tolerance Multiplier: Adjust the width of the trendline zones (default: 1.0) Color Customization: Separate colors for high (resistance) and low (support) trendlines and their fills 2. Volume Delta % Bars The indicator analyzes volume distribution across price levels to identify significant supply and demand zones. Key Components: Volume Profile Analysis: Divides the price range into rows and calculates volume delta at each level Delta Visualization: Displays horizontal bars showing the percentage difference between buying and selling volume Zone Identification: Automatically identifies the most significant supply and demand zones Visual Integration: Connects volume delta bars with corresponding support/resistance zones on the price chart Customization Options: Lookback Period: Set the number of bars to analyze for volume (default: 200) Price Rows: Control the granularity of the volume analysis (default: 50 rows) Delta Sections: Adjust the number of horizontal delta bars displayed (default: 20) Panel Appearance: Customize width, position, and direction of the delta panel Zone Settings: Control the number of supply/demand zones and their extension (default: 3 zones) How It Works- Trendline Logic: The script continuously scans for pivot highs and lows based on the specified left and right bars When a pivot is detected, it creates a horizontal line at that price level The script then looks for the previous pivot of the same type (high or low) It connects these pivots with a trendline, extending it based on the user-specified setting A parallel line is created to form a zone, with the distance based on average price volatility The script filters out invalid trendlines (upward-sloping resistance and downward-sloping support). Only the 3 most recent trendlines are maintained to prevent chart clutter Volume Delta Logic: The script divides the price range over the lookback period into the specified number of rows For each bar in the lookback period, it categorizes volume as bullish (close > open) or bearish (close < open). This volume is assigned to the appropriate price level based on the HLC3 price. The price levels are grouped into sections, and the net delta (bullish - bearish volume) is calculated for each Horizontal bars are drawn to represent these delta percentages. The most significant positive and negative deltas are identified and displayed as support and resistance zones. These zones are extended to the left on the price chart and connected to the delta panel with dotted lines. Ideal Timeframes: The indicator is versatile and can be used across multiple timeframes, but it performs optimally on specific timeframes depending on your trading style: For Day Trading: Optimal Timeframes: 15-minute to 1-hour charts Why: These timeframes provide a good balance between noise reduction and sufficient volume data. The volume delta analysis is particularly effective on these timeframes as it captures intraday accumulation/distribution patterns while the trendlines remain reliable enough for intraday trading decisions. For Swing Trading: Optimal Timeframes: 1-hour to 4-hour charts Why: These timeframes offer the best combination of reliable trendline formation and meaningful volume analysis. The trendlines on these timeframes are less prone to whipsaws, while the volume delta analysis captures multi-day trading sessions and institutional activity. For Position Trading: Optimal Timeframes: Daily and weekly charts Why: On these higher timeframes, trendlines become extremely reliable as they represent significant market structure points. The volume delta analysis reveals longer-term accumulation and distribution patterns that can define major support and resistance zones for weeks or months. Timeframe-Specific Adjustments: Lower Timeframes (1-15 minutes): Reduce left/right bars for pivots (5-8 bars) Decrease lookback period for volume delta (50-100 bars) Increase tolerance multiplier (1.2-1.5) to account for higher volatility Higher Timeframes (Daily+): Increase left/right bars for pivots (15-20 bars) Extend lookback period for volume delta (300-500 bars) Consider increasing the number of price rows (70-100) for more detailed volume analysis Usage Guidelines- For Trendline Analysis: Use the trendlines as dynamic support and resistance levels Price reactions at these levels can indicate potential trend continuation or reversal points The filled zones around trendlines represent areas of price volatility or uncertainty Consider the slope of the trendline as an indication of trend strength For Volume Delta Analysis: The horizontal delta bars show where buying or selling pressure has been concentrated Green bars indicate areas where buying volume exceeded selling volume (demand) Red bars indicate areas where selling volume exceeded buying volume (supply) The highlighted supply and demand zones on the price chart represent significant price levels These zones can act as future support or resistance areas as price revisits them Customization Tips: Trendline Sensitivity: Decrease left/right bars values to detect more pivots (more sensitive) or increase them for fewer, more significant pivots Zone Width: Adjust the tolerance multiplier to make trendline zones wider or narrower based on your trading style Volume Analysis: Increase the lookback period for a longer-term volume profile or decrease it for more recent activity Visual Clarity: Adjust colors and transparency settings to match your chart theme and preferences Conclusion: This indicator provides traders with a comprehensive view of both trend dynamics and volume-based support/resistance levels. With these two analytical approaches, the indicator offers valuable insights for identifying potential entry and exit points, trend strength, and key price levels where significant market activity has occurred. The extensive customization options allow traders to adapt the indicator to various trading styles and timeframes, with optimal performance on 15-minute to daily charts depending on their trading horizon. Chart Attached: NSE HINDZINC, EoD 12/12/25 DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Pine Script®指标
由kingshukghosh71提供
10
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations. Sources used: This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear The following scripts were used in this publication: 1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script: 2. Wavetrend Oscillator with crosses, Author: LazyBear 3. Squeeze Momentum Oscillator, Author: LazyBear This script functions based on the following criteria being true: 1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell) 2. Squeeze Momentum value is increasing (buy) or decreasing (sell) 3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell) By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend). This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile. How to use: Simply adjust the settings to your preference and read the given signals as generated. Settings There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart. OBV Oscillator Settings The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value. The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style. Wavetrend Settings The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4) Squeeze Momentum Settings The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length . Style Setting You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals. Time Frames: While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame. Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script) SPY 1 Minute (Factory Settings): SPX 15 minutes (Factory Settings): Considerations This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there... As Always... Happy Trading. -Not_A_Mad_Scientist (GreatfulFutures Trade University)
Pine Script®指标
由not_a_mad_scientist提供
VB-MainLiteVB-MainLite – v1.0 Initial Release Overview VB-MainLite is a consolidated market-structure and execution framework designed to streamline decision-making into a single chart-level view. The script combines multi-timeframe trend, volatility, volume, and liquidity signals into one cohesive visual layer, reducing indicator clutter while preserving depth of information for active traders. Core Architecture Trend Backbone – EMA 200 Dedicated EMA 200 acts as the primary trend filter and higher-timeframe bias reference. Serves as the “spine” of the system for contextualizing all secondary signals (swings, reversals, volume events, etc.). Custom MA Suite (Envelope Ready) Four configurable moving averages with flexible source, length, and smoothing. Default configuration (preset idea: “8/89 Envelope”): MA #1: EMA 8 on high MA #2: EMA 8 on low MA #3: EMA 89 on high MA #4: EMA 89 on low All four are disabled by default to keep the chart minimal. Users can toggle them on from the Custom MAs group for envelope or cloud-style configurations. Nadaraya–Watson Smoother (Swing Framework) Gaussian-kernel Nadaraya–Watson regression applied to price (hl2) to build a smooth synthetic curve. Two layers of functionality: Swing labels (▲ / ▼) at inflection points in the smoothed curve. Optional curve line that visually tracks the turning structure over the last ~500 bars. Designed to surface early swing potential before standard MAs react. Hull Moving Average (Trend Overlay) Optional Hull MA (HMA) for faster trend visualization. Color-coded by slope (buy/sell bias). Default: off to prevent overloading the chart; can be enabled under Hull MA settings. Momentum, Exhaustion & Pattern Engine CCI-Based Bar Coloring CCI applied to close with configurable thresholds. Overbought / oversold CCI zones map directly into candle coloring to visually highlight short-term momentum extremes. RSI Top / Bottom Exhaustion Finder RSI logic applied separately to high-driven (tops) and low-driven (bottoms) sequences. Plots: Top arrows where high-side RSI stretches into high-risk territory. Bottom arrows where low-side RSI indicates exhaustion on the downside. Useful as confluence around the Nadaraya swing turns and EMA 200 regime. Engulfing + MA Trend Engine (“Fat Bull / Fat Bear”) Detects bullish and bearish engulfing patterns, then combines them with MA trend cross logic. Only when both pattern and MA regime align does the engine flag: Fat Bull (Engulf + MA aligned long) Fat Bear (Engulf + MA aligned short) Candles are marked via conditional barcolor to highlight strong, structured shifts in control. Fat Finger Detection (Wick Spikes / Stop Runs) Identifies abnormal wick extensions relative to the prior bar’s body range with configurable tolerance. Supports detection of potential liquidity grabs, stop runs, or “excess” that may precede reversals or mean-reversion behavior. Volume & Liquidity Intelligence Bull Snort (Aggressive Buy Spikes) Flags events where: Volume is significantly above the 50-period average, and Price closes in the upper portion of the bar and above prior close. Plots a labeled marker below the bar to indicate aggressive upside initiative by buyers. Pocket Pivots (Accumulation Flags) Compares current volume vs prior 10 sessions with a filter on prior “up” days. Highlights pocket pivot days where current green candle volume outclasses recent down-day volumes, suggesting stealth accumulation. Delta Volume Core (Directional Volume by Price) Internal volume-by-price style engine over a user-defined lookback. Splits volume into up-close and down-close buckets across dynamic price bins. Feeds into S&R and ICT zone logic to quantify where buying vs selling pressure built up. Structural Context: S&R and ICT Zones S&R Power Channel Computes local high/low band over a configurable lookback window. Renders: Upper and lower S&R channel lines. Shaded support / resistance zones using boxes. Adds Buy Power / Sell Power metrics based on the ratio of up vs down bars inside the window, displayed directly in the zone overlays. Drops ◈ markers where price interacts dynamically with the top or bottom band, highlighting reaction points. ICT-Style Premium / Discount & Macro Zones Two tiered structures: Local Premium / Discount zones over a shorter SR window. Macro Premium / Discount zones over a longer macro window. Each zone: Uses underlying directional volume to annotate accumulation vs distribution bias. Provides Delta Volume Bias shading in the mid-band region, visually encoding whether local power flows are net-buying or net-selling. Enables traders to quickly see whether current trade location is in a local/macro discount or premium context while still respecting volume profile. Positioning Intelligence: PCD (Stocks) Position Cost Distribution (PCD) – Stocks Only Available for stock symbols on intraday up to daily timeframe (≤ 1D). Uses: TOTAL_SHARES_OUTSTANDING fundamentals, Daily OHLCV snapshot, and A bucketed distribution engine to approximate cost basis distribution across price. Outputs: Horizontal “PCD bars” to the right of current price, density-scaled by estimated share concentration. Color-coding by profitability relative to current price (profitable vs unprofitable positions). Labels for: Current price Average cost Profit ratio (share % below current price) 90% cost range 70% cost range Range overlap as a measure of clustering / concentration. Multi-Timeframe Trend: Two-Pole Gaussian Dashboard Two-Pole Gaussian Filter (Line + Cloud) Smooths a user-selected source (default: close) using a two-pole Gaussian filter with tunable alpha. Plots: A thin Gaussian trend line, and A thick Gaussian “cloud” line with transparency, colored by slope vs past (offsetG). Functions as a responsive trend backbone that is more sensitive than EMA 200 but less noisy than raw price. Multi-Timeframe Gaussian Dashboard Evaluates Gaussian trend direction across up to six timeframes (e.g., 1H / 2H / 4H / Daily / Weekly). Renders a compact bottom-right table: Header: symbol + overall bias arrow (up / down) based on average trend alignment. Row of colored cells per timeframe (green for uptrend, magenta for downtrend) with human-readable TF labels (e.g., “60M”, “4H”, “1D”). Gives an immediate read on whether intraday, swing, and higher-timeframe flows are aligned or fragmented. Default Configuration & Usage Guidance Default state after adding the script: Enabled by default: EMA 200 trend backbone Nadaraya–Watson swing labels and curve CCI bar coloring RSI top/bottom arrows Fat Bull / Fat Bear engine Bull Snort & Pocket Pivots S&R Power Channel ICT Local + Macro zones Two-pole Gaussian line + cloud + dashboard PCD engine for stocks (auto-active where data is available) Disabled by default (opt-in): Custom MA suite (4x MAs, preset as EMA 8/8/89/89) Hull MA overlay How traders can use VB-MainLite in practice: Use EMA 200 + Gaussian dashboard to define top-down directional bias and avoid trading directly against multi-TF trend. Use Nadaraya swing labels, RSI exhaustion arrows, and CCI bar colors to time entries within that higher-timeframe bias. Use Fat Bull / Fat Bear events as structured confirmation that both pattern and MA regime have flipped in the same direction. Use Bull Snort, Pocket Pivots, and S&R / ICT zones to align execution with liquidity, volume, and location (premium vs discount). On stocks, use PCD as a positioning map to understand trapped supply, support zones near crowded cost basis, and where profit-taking is likely.
Pine Script®指标
由TheSigmaMentor提供
z8u Daily & Weekly Key Levels (Extended)1. OVERVIEW ------------------------------------------------------------------------ The "Daily & Weekly Key Levels" indicator is a charting tool designed to visualize critical auction market structures. It overlays automated historical price data (Previous Day/Week Highs and Lows) with manual inputs for Volume Profile levels (VAH, VAL, POC) and Institutional "Kickoff" levels. It is designed to replicate specific institutional styling, allowing traders to see where the market is balancing relative to previous sessions. 2. FEATURES ------------------------------------------------------------------------ Automated Lookback: Automatically calculates previous Day's High/Low/Settlement and previous Week's High/Low. Hybrid Input System: Allows manual entry for data points that require specific feed accuracy (Value Area High, Value Area Low, POC). Clean Charting: Manual levels default to '0.0'. If no price is entered in the settings, the lines remain invisible to keep the chart clean. Custom Styling: Colors and line weights are pre-configured to match standard Volume Profile aesthetics. 4. CONFIGURATION (INPUTS TAB) ------------------------------------------------------------------------ To see the Volume Profile and Kickoff lines, you must enter prices manually in the indicator settings. 1. Double-click the indicator line on the chart (or the gear icon). 2. Go to the "Inputs" tab. 3. Enter the price levels for the current session: - Yesterday's Value Area High Price - Yesterday's VPOC Price - Yesterday's Value Area Low Price - Weekly Kickoff Low Price - Weekly Kickoff High Price *Note: If you leave a value as 0.0, that specific line will not be drawn.* 5. COLOR LEGEND (STYLE TAB) ------------------------------------------------------------------------ The lines are color-coded as follows: Last Week's High Yesterday's High Yesterday's Value Area High (VAH) Yesterday's VPOC (Volume Point of Control) Settlement (Previous Close) Yesterday's Value Area Low (VAL) Yesterday's Low Weekly Kickoff Low Weekly Kickoff High Last Week's Low 6. DISCLAIMER ------------------------------------------------------------------------ This tool is for informational and educational purposes only. It does not constitute financial advice. Trading futures and financial markets involves substantial risk of loss. 14 minutes ago Release Notes UPDATE *Added Extend Levels to the Right Toggle
Pine Script®指标
由Mkinggoldfire提供
Pso VP 2.0This indicator provides an advanced volume analysis tool that visualizes trading activity across different price levels and automatically identifies key support and resistance zones. How It Works: The Volume Profile analyzes historical price and volume data within a specified lookback period, distributing volume across horizontal price levels. Unlike traditional volume indicators that show volume over time, this tool displays volume at price, revealing where the most significant trading activity has occurred. The algorithm: Divides the price range into customizable horizontal bars (bins) Calculates and accumulates volume for each price level Identifies high-volume nodes that often act as support or resistance levels Uses percentile filtering to highlight the most significant trading areas Key Features: Automatic S/R Detection: Uses volume percentile filtering to identify the most significant price levels Dynamic Support/Resistance Lines: Automatically draws horizontal black lines at high-volume areas that typically act as price magnets or barriers Customizable Parameters: Full control over lookback period, number of price bars, percentile thresholds, profile width, opacity, and line projections Clean Aesthetic: Monochrome design for professional chart presentation
Pine Script®指标
由andreapsoroulas21提供
Quant RSIQuant RSI MTF - Professional Multi-Timeframe RSI Analysis A sophisticated RSI indicator built for serious traders who need more than basic overbought and oversold levels. This tool combines advanced filtering techniques with multi-timeframe analysis to give you a clearer picture of momentum across different time horizons. What Makes This Different Most RSI indicators use simple moving averages that lag behind price action. This version uses Laguerre filtering, which is a mathematical technique that reduces lag while maintaining smooth signals. The result is an RSI that responds faster to genuine momentum shifts without getting whipped around by noise. The system monitors five different timeframes simultaneously, checking whether momentum is aligned or diverging across short-term, medium-term, and long-term perspectives. When all timeframes agree on direction, you have significantly higher probability setups. When they disagree, you know to be cautious. Core Features The indicator calculates three separate RSI values using different lookback periods - short, medium, and long term. Each one serves a specific purpose. The short-term catches quick reversals, the medium-term identifies swing trading opportunities, and the long-term keeps you aware of the bigger trend. Dynamic threshold adjustment is built in based on ATR volatility measurements. During high volatility periods, the overbought and oversold levels automatically expand because extreme readings become more common. During low volatility, the thresholds tighten up. This prevents you from getting false signals just because market conditions changed. Volume confirmation is integrated into every signal. The system analyzes volume delta to determine whether price movements are supported by actual buying or selling pressure. A divergence between RSI and volume often signals weak momentum that is likely to reverse. Advanced divergence detection goes beyond basic hidden and regular divergences. The system calculates divergence strength as a percentage, so you know which setups have the most potential. A weak divergence barely worth noting gets scored low, while a major divergence with significant price-RSI separation scores high. Signal Intelligence Every potential signal gets assigned a confidence score from 0 to 100. This score factors in trend strength, momentum, volume confirmation, divergence presence, ADX readings, and timeframe alignment. A score above 70 means all the pieces are in place. Below 40 means something important is missing. The indicator calculates ADX automatically to measure trend strength. Even if RSI shows oversold conditions, a weak ADX reading suggests the market is ranging and mean reversion might not work. Strong ADX with extreme RSI readings often produces the best setups. Market condition classification tells you whether you are in a strong bull trend, bear trend, pullback, sideways chop, or volatility expansion phase. Each condition requires different trading approaches, and the indicator adapts its signals accordingly. Volatility Analysis Real-time volatility state monitoring shows you whether volatility is exploding, expanding, stable, or contracting. Contracting volatility often precedes big moves. Exploding volatility suggests you should reduce position size or stay out entirely. The system compares current volatility to historical levels using percentile rankings. If current ATR is in the 90th percentile, you know volatility is unusually high even if you have not traded this asset before. Volume profile approximation analyzes where volume is accumulating at different price levels. While not as detailed as true market profile software, it gives you insight into support and resistance zones based on actual trading activity. What This Indicator Does Well The Laguerre filtering genuinely reduces lag compared to standard RSI. You will notice signals forming 1-3 bars earlier than traditional RSI implementations, which can make a significant difference in fast-moving markets. Multi-timeframe confluence is calculated automatically instead of forcing you to manually switch between charts. When all five timeframes align, the visual confirmation is immediate and the probability of success increases dramatically. Dynamic threshold adjustment based on volatility is something most RSI indicators lack entirely. This prevents you from taking low-probability trades just because RSI hit 30 or 70 during unusual market conditions. Volume integration with every signal helps filter out weak setups. RSI might show oversold, but if volume delta is negative and selling pressure continues, the indicator knows not to generate a buy signal. Divergence strength calculation goes beyond just marking divergences with arrows. Knowing that a divergence has 75% strength versus 20% strength completely changes how you should trade it. The ADX integration prevents you from trying to trade reversals in ranging markets where mean reversion strategies fail. ADX below 20 with extreme RSI readings typically results in continued chop rather than reversals. What This Indicator Does Not Do Well The multi-timeframe data requests can cause slight delays on lower-end computers or slow internet connections. If you are running multiple indicators simultaneously, you might notice brief calculation lags. Divergence detection requires at least 10-15 bars of history to identify pivot points accurately. On brand new charts or immediately after timeframe changes, divergence signals may be absent for several bars. The Laguerre filtering, while reducing lag, can occasionally produce false signals during extreme volatility spikes like news releases or market opens. The smoothing cannot completely eliminate noise during truly chaotic conditions. Dynamic thresholds work well most of the time but can occasionally adapt too slowly during rapid volatility regime changes. If ATR suddenly doubles, it might take 5-10 bars for the thresholds to fully adjust. The indicator uses significant processing power with five timeframe requests plus all the calculations for volatility, volume analysis, divergences, and signal scoring. On very low timeframes like 1-second or tick charts, this could cause performance issues. There is no built-in backtesting functionality. You can see historical signals on the chart, but you cannot generate statistical performance reports without exporting data and analyzing it separately. Best Use Cases This indicator excels for scalpers and day traders who need fast, reliable RSI signals with proper context. The reduced lag from Laguerre filtering combined with volume confirmation catches reversals quickly enough to matter on 1-5 minute charts. Swing traders benefit from the multi-timeframe alignment feature. Before entering a multi-day position, you can verify that momentum is aligned across your entry timeframe, swing timeframe, and position timeframe. This significantly improves win rates. Range traders can use the dynamic thresholds and volatility analysis to identify when markets are coiling up for breakout moves. Contracting volatility with neutral RSI readings often precedes the best trending moves. The divergence detection with strength calculations makes this valuable for reversal traders. Instead of taking every divergence, you can filter for only high-strength divergences above 60% for better risk-reward setups. What This Is Not This is not a standalone trading system. It provides momentum analysis and signal quality scoring, but you still need proper risk management, position sizing, and confluence with price action or other technical factors. This is not a high-frequency trading tool. While the Laguerre filtering reduces lag, it is not designed for sub-second timeframes or algorithmic trading where microseconds matter. This is not a volatility prediction system. It measures current and recent volatility states, but it cannot forecast whether volatility will expand or contract in the future beyond basic statistical tendencies. This is not a replacement for understanding market structure. RSI divergences and extreme readings mean different things at major support and resistance versus in the middle of nowhere. You need context. Technical Details Worth Knowing The Laguerre filter uses a gamma parameter that you can adjust. Higher gamma values (0.8-0.9) produce smoother lines with more lag. Lower values (0.5-0.6) respond faster but with more noise. The default of 0.7 balances both reasonably well. The three RSI lengths serve different purposes. The 5-period catches very short-term momentum for scalping. The 14-period is standard for swing trading. The 21-period keeps you aligned with longer-term trends. You can adjust these based on your trading timeframe. ATR normalization divides current ATR by a 50-period moving average of ATR. This creates a volatility factor that adjusts thresholds dynamically. When volatility doubles, overbought might move from 70 to 85 automatically. Volume delta is calculated as volume times the percentage where price closed within the bar's range. An up-close at the high gets full positive delta. A down-close at the low gets full negative delta. This approximates buying and selling pressure without tick data. Signal strength scoring uses weighted factors. Trend direction gets 30% weight, momentum gets 20%, volume confirmation 15%, divergence presence 15%, ADX strength 10%, and timeframe alignment 10%. This creates a 0-100 composite score. ADX calculation uses the standard Wilder smoothing method with directional movement indicators. The trend classification shows whether bulls or bears have control, while the strength rating (weak, moderate, strong, extreme) tells you how much conviction is behind the move. Final Assessment This is a well-designed RSI indicator that adds genuine value beyond what basic RSI provides. The Laguerre filtering works as advertised for lag reduction. The multi-timeframe analysis saves time and provides clarity. The dynamic thresholds adapt intelligently to changing volatility. The signal scoring system is particularly useful because it prevents you from chasing low-quality setups. A 35% confidence score tells you immediately that something is wrong with the trade even if RSI looks tempting. However, this is definitely not a beginner indicator. There are a lot of moving parts and the learning curve is real. You need to understand RSI basics, divergences, volume analysis, and volatility regimes to use this effectively. Someone new to trading would be overwhelmed. For experienced traders who already understand momentum indicators and want more sophisticated analysis, this is legitimately valuable. The combination of features is not commonly found in free indicators, and the implementation quality is solid. The main limitation is that it is still just an RSI indicator at its core. No amount of filtering, multi-timeframe analysis, or scoring can overcome the fundamental limitations of oscillator-based trading. You need confluence with price action, support and resistance, and proper market context. If you trade primarily based on momentum and reversals, this indicator provides most of what you would need in one package. If you are a pure price action trader or trend follower, this probably would not change your approach significantly. Overall, this is a 7.5 out of 10 indicator. It does what it claims to do well, adds meaningful improvements over basic RSI, and provides useful analysis tools. It is not revolutionary, but it is a solid professional-grade tool for the right type of trader.
Pine Script®指标
由Nexural提供
CVD TrendlineHere's a natural description for TradingView: CVD-Enhanced Multi-Filter Trendline - Institutional Grade Trend System WHAT IT DOES This is an institutional-grade trend indicator that combines Cumulative Volume Delta analysis with advanced signal processing filters. It plots a dynamic trendline on your chart that adapts to buying and selling pressure in real-time, surrounded by a pressure-sensitive cloud that changes opacity based on order flow intensity. The core innovation here is the integration of CVD (the difference between buying and selling volume) directly into the trend calculation. This means the trendline doesn't just follow price - it follows the money. When smart money is accumulating or distributing, you'll see it in the line movement and cloud behavior before it's obvious in price action. KEY FEATURES Three Professional Filter Modes - Choose between Standard (Ehlers filters), Kalman (predictive HFT-style), or Butterworth (signal processing). Each has different characteristics for lag versus smoothness. Advanced CVD Calculation - Uses intrabar analysis when available to accurately measure buying versus selling pressure within each candle. Falls back to basic CVD on higher timeframes. Laguerre Integration - Combines Laguerre RSI with CVD momentum for a unique blend that catches both momentum shifts and volume flow changes. Pressure Heatmap Cloud - The cloud around the trendline darkens when buying or selling pressure intensifies. Think of it as a visual intensity meter. Divergence Detection - Automatically spots when price makes a new high but CVD doesn't confirm, or vice versa. These are your early warning signals. Zero-Lag Options - Multiple tools to reduce lag including Ehlers Instantaneous Trendline and Super Smoother filters. UNDERSTANDING THE FILTER MODES This is where the indicator gets interesting. You have three completely different approaches to smoothing and processing the signal. Standard Mode - Uses the original Ehlers-based filters. This is proven and reliable. Good balance between smoothness and responsiveness. If you're new to this indicator, start here. Kalman Filter Mode - This is what high-frequency trading firms use. It's a 2-state filter that tracks both position and velocity, which means it can actually predict where price is headed. It catches turns AS they happen, not after. The tradeoff is it can be a bit twitchy in choppy conditions. Best for active trading and scalping. Butterworth Filter Mode - Borrowed from professional signal processing. This filter has a "maximally flat" frequency response, which means it removes noise without distorting the signal. Think of it like a high-quality audio filter. Best for swing trading and higher timeframes where you want maximum noise rejection. HOW THE CVD INTEGRATION WORKS Traditional trendlines only look at price. This one incorporates CVD, which measures the battle between buyers and sellers. When CVD is positive and rising, it adds upward pressure to the trendline. When CVD is negative and falling, it adds downward pressure. The result is a trendline that can start turning before price does. If smart money is selling into a rally, CVD goes negative and the trendline will start to flatten or turn down even if price is still rising. That's your early exit signal. The indicator uses intrabar analysis when possible, which means on lower timeframes it can see the buying and selling that happens within each candle. This is way more accurate than just looking at whether the candle closed green or red. HOW TO USE IT The Trendline - When it's lime green and rising, look for long opportunities. When it's purple and falling, look for shorts. The color changes based on slope direction with hysteresis, so it won't flip back and forth on every minor wiggle. The Cloud - This is your volatility and pressure buffer. In strong trends, price will bounce off the cloud edges. When price breaks through the cloud against the trend, that's often a reversal warning. Cloud Opacity - This is unique and important. When the cloud is dark and opaque, pressure is intense. When it's faded and transparent, pressure is weak. Dark cloud in a trend = strong conviction. Faded cloud = weak trend or transition zone. Divergences - The indicator automatically detects when price and CVD disagree. These divergence points are often where reversals start. Watch for price making new highs with the cloud fading and CVD showing weakness. The Dashboard - Upper right corner shows you what mode you're in, CVD status, volume pressure percentage, trend direction, and intensity tier. Glance at this before taking any trade. SETTINGS BREAKDOWN Filter Mode - This is your first decision. Standard for balanced, Kalman for aggressive/scalping, Butterworth for smooth/swing trading. Laguerre Gamma - Lower values (0.2-0.4) are more responsive, higher values (0.6-0.8) are smoother. Default 0.5 is a good starting point. CVD Lookback - How many bars to use for CVD normalization. Lower values (10-15) for faster markets, higher values (25-30) for slower markets. ATR Multiplier - Controls cloud width. Higher values give you more breathing room, lower values keep the cloud tight. Cloud Width Multiplier - Another way to control cloud size. 0.5 is default. Increase if the cloud is too tight, decrease if it's too wide. Pressure Amplification - Makes the heatmap effect more dramatic. Higher values mean you'll see darker clouds sooner. Default 1.5 is good. Heatmap Tiers - How many distinct opacity levels. Lower numbers (3-5) make transitions more visible, higher numbers (7-10) make it smoother. KALMAN FILTER SETTINGS EXPLAINED If you choose Kalman mode, you get extra controls: Measurement Noise - This is your responsiveness dial. Lower (0.2-0.3) for scalping and fast response. Higher (0.4-0.5) for swing trading and stability. Process Noise - Model uncertainty. Higher values let it adapt faster to volatility. Use 0.03-0.04 in crypto or volatile markets, 0.02-0.025 in stocks. Velocity Prediction - This is the magic. It's how far ahead the Kalman filter looks. 0.6 means it's showing you where price is likely to be 60% of the way into the next bar. For scalping, 0.5-0.7 is optimal. For swing trading, drop it to 0.3-0.4. Show Velocity Vector - Turn this on to see a small line showing where the Kalman filter thinks price is heading. Useful for learning how it works. BEST PRACTICES Start with Standard mode and default settings. Get comfortable with how the indicator behaves before experimenting with Kalman or Butterworth. Watch the intensity tier in the dashboard. Trades taken when intensity is 4/5 or 5/5 tend to have better follow-through than trades at 1/5 or 2/5. Use the cloud as your stop loss guide. If you're long and price closes through the lower cloud boundary, consider exiting or tightening stops. Pay attention to cloud color transitions. When the cloud is dark purple in a downtrend or dark lime in an uptrend, that's high-conviction movement. Faded clouds mean weak hands. Don't ignore divergences. When the dashboard shows CVD negative but price is rising, or CVD positive but price is falling, be cautious. The trend might be running on fumes. In Kalman mode, watch the velocity indicators in the dashboard. Double up arrows (⬆⬆) mean strong acceleration. That's momentum you can trade. PROS Multi-dimensional analysis - Combines price, volume, momentum, and pressure in one clean visual. Professional-grade filters - You're using the same math that HFT firms and aerospace engineers use. Early turn detection - The CVD integration lets you spot reversals before they're obvious in price. Highly customizable - Three completely different filter modes plus dozens of settings to dial it in for your style. Intrabar precision - When available, the advanced CVD calculation gives you institutional-level order flow data. Visual clarity - The pressure heatmap makes it obvious when conviction is high versus when it's weak. Works on all markets - Stocks, crypto, forex, futures. The math is universal. CONS Complexity overload - There are a lot of settings. It can be overwhelming for beginners. Start with defaults and change one thing at a time. Kalman can be twitchy - In Kalman mode with aggressive settings, you might get false signals in choppy conditions. It's optimized for trending markets. Requires volume data - The CVD calculations need reliable volume. On some forex pairs or exotic instruments, volume data is unreliable or unavailable. Computational load - With advanced CVD and Kalman filtering running, this indicator does a lot of math. You might see lag on older devices or with many indicators loaded. Learning curve - Understanding the difference between the filter modes and how to optimize settings takes time and experimentation. Not a standalone system - This shows you the trend and pressure, but you still need to decide entries, exits, and risk management. TIPS FROM MY TESTING The indicator shines on the 5-minute to 1-hour timeframes for day trading. For swing trading, it works well on 4-hour to daily. In Kalman mode with velocity prediction at 0.6, I've found the best entries are when the trendline turns AND the intensity tier is at least 3/5. Those setups have conviction. Standard mode is actually excellent for beginners despite being called "standard." It's stable and reliable. Butterworth mode is underrated for swing trading. The noise rejection is phenomenal on daily charts. The CVD intrabar precision setting matters. On 5-minute charts, use "Covering less chart bars" for precision. On hourly charts, use "Covering some chart bars" for coverage. Watch for cloud squeezes. When the cloud gets very narrow and then starts expanding with darkening opacity, that's often the start of a big move. Divergence detection is most reliable on 15-minute and above timeframes. Below that, you get too many false divergences. COMBINING WITH OTHER TOOLS This pairs beautifully with any oscillator. Use this for trend direction and the cloud for context, then use RSI or MACD to time exact entries. Volume profile works great with this. The CVD shows you buying versus selling pressure, volume profile shows you where the fighting is happening. Use a higher timeframe version for bias. If the 1-hour chart is lime with 5/5 intensity, take only longs on the 5-minute chart. Support and resistance zones become more powerful when combined with cloud bounces. If price bounces off the cloud AT a key level, that's a high-probability setup. UNDERSTANDING THE DASHBOARD Filter - Shows which mode you're in. Kalman displays as KALMAN in aqua, Butterworth as BUTTER in yellow, Standard in gray. CVD Mode - Shows ADVANCED if intrabar analysis is working, BASIC if it's using fallback. Advanced is more accurate. CVD - Shows whether cumulative volume delta is positive or negative. This is your order flow direction. Vol Pressure - Percentage showing buying versus selling pressure right now. Positive means more buying, negative means more selling. Trend - Current trend direction. BULL or BEAR. Intensity - Shows the current pressure tier and, in Kalman mode, velocity arrows. This is your conviction meter. ALERT SYSTEM The indicator fires alerts when the trend changes from bullish to bearish or vice versa. These are clean alerts with hysteresis built in, so you won't get spammed during sideways chop. This indicator represents a significant amount of research into institutional-level trend detection. It's not simple, but it's powerful. The combination of CVD integration and professional filter modes gives you an edge that basic moving averages can't provide. The key is choosing the right filter mode for your trading style and timeframe. Kalman for aggressive scalping, Butterworth for smooth swinging, Standard for reliable balance. Take the time to understand how the pressure heatmap works. That fading and darkening of the cloud is telling you something important about market conviction. Strong trends have dark clouds. Weak trends or reversals have faded clouds. Backtest it thoroughly on your markets. Every instrument has its own personality. What works on ES futures might need adjustment for Bitcoin or EUR/USD. This is a professional tool. Treat it seriously, learn it properly, and it can give you insights that most retail traders never see.
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