开始

在脚本中搜索"MA Cross"

Flunki T-WAP minus MA Oscillator Yo, Possible the last of these for now, and mostly for the sake of completeness.. This is.. Another simple oscillator that show the difference in price between a selectable timeframe TWAP and a Moving Average of that TWAP This is shown as a histogram. Use numeric TWAP values for minutes (30, 60 ,720 whatever) and D, 3D, W, M for higher values There is also a global timeframe which will set the timeframe for a global alternate timeframe (instead of current chart resolution) On top of that is a Moving Average of the histogram value, shown as a blue / red line with an option to highlight this MA crossing zero, and an option to colour bars to this line. The major difference between this Oscillator, and the other script (Flunki VWAP minus MA Oscillator) (I treid to insert a link but it's invisible so it would seem, anyway.. ) is that VWAP is usually calculated daily, so there is a sharp move upon the daily close, as VWAP starts a new day. Using TWAP this does not occur, so gives smoother transitions ; also the timeframe for TWAP is selectable for additional wap fun. Simple idea : Code open Enjoy !
Pine Script®指标
由syrinxflunki提供
7
TSI HMA CCIHi! This strategy has TSI and CCI indicators with the CCI being based on a HMA instead of the Price. There is a number of conditions that must combine to create buy or sell signals, but it is basically a couple of MA crossovers. The strategy opens new orders on each candle if the conditions are met, Either direction, so it is hedging. It wont open new orders if there is a floating loss, and so is constantly attempting to hold a floating profit (drawup instead of drawdown) But It has a StopLoss (set by user) for closing of losing orders, and it closes all orders in basket style when account is in profit to users set amount target profit. Low commission set to simulate swap but Forex pairs generally dont have commission like the crypto exchanges do. So if you use this on cryptos, remember to increase the commission to your brokers amount. Crypto users will likely find that because this opens so many orders the commission could erase its profits. So i recommend this for Forex only, and perhaps, only NZDUSD 4H chart. other pairs, change settings for. The strategy has settings for testing on target time spans, so you could test it on just Jan-Feb 2020 for example, if you want, or from Jan 2020 to present day. Have Fun! Open Script for copy/paste/edit/publish your own version :)
Pine Script®策略
由SeaSide420提供
14
WholvolTotal Volume Of Crypto Pairs Based on TV Top Exchanges See the whole volume with additional feature and options. Report volume data in USD, BTC, itSelf. See each exchange Share and Volume. Static and Dynamic value filtering. MAs crosses. Note.1    Due to the pine limitations, we have selected the most important Exchanges which have valuable volume. Note.2    When you choose to report stats in BTC unit and you have chart of altcoins, the BTC source price will extract from your pair exchange. Note.3    When you choose to report stats in USD unit, Historical volume data worth will calculated using your entered source price BUT on Realtime data, script will use latest price(close) as source price. Note.4    You must only select the exchanges which support your pair, otherwise you will see error.
Pine Script®指标
由Algorca提供
Trend Regularity Adaptive Moving Average [LuxAlgo]The following moving average adapt to the average number of highest high/lowest low made over a specific period, thus adapting to trend strength. Interesting results can be obtained when using the moving average in a MA crossover system or as a trailing support/resistance. Settings Length : Period of the indicator, with higher values returning smoother results. Src : Source input of the indicator. Usage The trend regularity adaptive moving average (TRAMA) can be used like most moving averages, with the advantage of being smoother during ranging markets. Notice how the moving closer to the price the longer a trend last, such effect can be practical to have early entry points when using the moving average in a MA crossover system, such effect is due to the increasing number of average highest high/lowest low made during longer trends. Note that in the case of a significant uptrend followed by a downtrend, the moving average might penalize the start of the downtrend (and vice versa). The moving average can also act as an interesting trailing support/resistance. Details The moving average is calculated using exponential averaging, using as smoothing factor the squared simple moving average of the number of highest high/lowest low previously made, highest high/lowest low are calculated using rolling maximums/minimums. Using higher values of length will return fewer highest high/lowest low which explains why the moving average is smoother for higher length values. Squaring allows the moving average to penalize lower values, thus appearing more stationary during ranging markets, it also allows to have some consistency regarding the length setting. 🧙 this moving average would not be possible without the existence of corn syrup 🦎
Pine Script®指标
由LuxAlgo提供
51
Relative Momentum Index (RMI) OscillatorThe Relative Momentum Index (RMI) is a sibling to the RSI. Where the RSI measures trend based on the average (RMA) of gains and draws over a length of time , the RMI measures based on the SUM of gains and draws . Myself and many others have found that the RMI oscillates better than the RSI does. I paired the RMI with the oscillation method the Fisher Transformation uses to oscillate the value from -1.0 to 1.0 instead of the Stochastic way of 0 to 100. This way you can enable the Fisher transform, if desired. But I also just prefer the appearance of that. Some options and features I have coded in- RMI Length: This is the length of the Relative Momentum Index itself. Like the length of RSI, default 14 Oscillation Length: This is your oscillation length, like a Stochastic. If you put the length at 1 it will turn the indicator into the straight up RMI indicator. (If you select to use the Fisher Transform, the overbought/oversold lines will not show nicely) Source Pre-Smoothing: The option of smoothing out the source, ie close, before you even run it through the RMI, oscillation, and/or transform Oscillator Post-Smoothing: The option of smoothing the output of the script Trailing MA: If desired, you can check the box to Use a Trailing Signal, and enter the length of lookback for a Simple Moving Average (SMA) of the RMI Osc value Use Fill Colors on MA: If enabled, it will fill the area between the RMI Osc and the trailing MA. I chose to use colors that are similar to some educational ideas I have published, whereby nearing the bottom of the oscillation you get Green to signal Accumulation, and near the top you get Red to signal Distribution. Following red is Black, where you typically get late signal sellers that Capitulate and sell stops trigger. Blue is where traders tend to Chase price up. The most primitive way of using this indicator would be sell when the value exceeds the overbought/top line and buy when it falls below the oversold/bottom line. You can find ways to use the fill colors, or MA crossovers, rising lows or rising highs, etc. for signals. Here's a comparison of this indicator to the Stochastic RSI, using similar values- Here's showing the indicator on intraday values at defaults with some pre- and post-smoothing- Same thing, but with Fisher Transform enabled- And an example of the fill bands in action- Please feel free to use any part of this code as desired.
Pine Script®指标
由chrism665提供
1
Combo Backtest 123 Reversal & EMA & MA Crossover This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The Moving Average Crossover trading strategy is possibly the most popular trading strategy in the world of trading. First of them were written in the middle of XX century, when commodities trading strategies became popular. This strategy is a good example of so-called traditional strategies. Traditional strategies are always long or short. That means they are never out of the market. The concept of having a strategy that is always long or short may be scary, particularly in today’s market where you don’t know what is going to happen as far as risk on any one market. But a lot of traders believe that the concept is still valid, especially for those of traders who do their own research or their own discretionary trading. This version uses crossover of moving average and its exponential moving average. WARNING: - For purpose educate only - This script to change bars colors.
Pine Script®策略
由HPotter提供
4
Combo Strategy 123 Reversal & EMA & MA Crossover This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The Moving Average Crossover trading strategy is possibly the most popular trading strategy in the world of trading. First of them were written in the middle of XX century, when commodities trading strategies became popular. This strategy is a good example of so-called traditional strategies. Traditional strategies are always long or short. That means they are never out of the market. The concept of having a strategy that is always long or short may be scary, particularly in today’s market where you don’t know what is going to happen as far as risk on any one market. But a lot of traders believe that the concept is still valid, especially for those of traders who do their own research or their own discretionary trading. This version uses crossover of moving average and its exponential moving average. WARNING: - For purpose educate only - This script to change bars colors.
Pine Script®指标
由HPotter提供
6
Point and Figure (PnF) Moving Averages HistogramThis is live and non-repainting Point and Figure Chart Moving Average Histogram tool. The script has it’s own P&F engine and not using integrated function of Trading View. Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart. P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify. Moving averages on Point & Figure charts are based on the average price of each column while bar chart moving averages are based closing price. Average Price means (ClosePrice + OpenPrice) / 2. Because of there is double smoothing, you should use shorter lengths for moving averages. Double smoothing means: using average price smooths once, using length greater than 2 smooths price second time. If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources. Options in the Script Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined 4 different methods for Box size can be used in this tool. User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals. ATR: Box size is dynamically calculated by using ATR, default period is 20. Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1 Traditional: uses a predefined table of price ranges to determine what the box size should be. Price Range Box Size Under 0.25 0.0625 0.25 to 1.00 0.125 1.00 to 5.00 0.25 5.00 to 20.00 0.50 20.00 to 100 1.0 100 to 200 2.0 200 to 500 4.0 500 to 1000 5.0 1000 to 25000 50.0 25000 and up 500.0 Default value is “ATR”, you may use one of these scaling method that suits your trading strategy. If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001. And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed. Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart. Source: Closing price or High-Low prices can be chosen as data source for P&F charting. Options for P&F Bollinger Bands: MA Type: MA type can be EMA or SMA MA Source: Moving averages on P&F charts are based on the average price of each column. Bar chart moving averages are based on each close price. Average price means “(ClosePrice + OpenPrice) / 2”. You can choose Close Price or Average Price as source. Default is Average Price. Fast MA Length : Length of Fast Moving average, shorter length than Slow MA Slow MA Length : Length of Slow Moving average, greater length than Slow MA There are alerts when Fast MA Crossed over/under Slow MA conditions. While adding alert “Once Per Bar Close” option should be chosen.
Pine Script®指标
由LonesomeTheBlue提供
4
Sexy RSI for sexy tradersHello fellow sexy traders. I was tired of constantly having to add my own horizontals/MAs to the default RSI so I decided to make this modification. The default settings include channels from 40-80 (green horizontals) for a bullish range, and 20-60 (red horizontals) for the bearish range. Also includes white line at 50 level, and blue horizontals at extremes (90 and 10). If RSI stays in one of the red or green range that can signify the trend direction, as directed by Andrew Cardwell (inventor of the RSI). If you wish for other levels to be included, just let me know! Comment on here or dm me on twitter @boss_charts and I can add the settings for you, so all you have to do is click a button and it will set it to your desired config. I want this to be a tool that is useful for heavy traders to save them time. Additionally, in order to tell the level of the RSI and how overextended it might be, I added the setting for the RSI to change color depending on its level. Current settings are as follows: Normal RSI (30-70) = PURPLE Conventional Overbought/Oversold (30-20 + 70-80) = RED 1st extended (20-15 + 80-85) = PINK 2nd extended (15-10 + 85-90) = ORANGE VERY EXTENDED (<10 + >90) = YELLOW That way you can get an idea of how drastic a move is by the color alone. According to Dr. Cardwell, a drastic move to over/under extended can be a sign of strength. Finally, there are the default MAs added that Mr. Cardwell defines as useful for defining the trend. These being the 9 MA and 45 EMA/WMA. The strategy with these is to have the MAs on both price and RSI. If the 9MA is above the 45 MA on both price and RSI, then this is bullish and you can look for longs. Conversely, if the 9 is below the 45 on both RSI and price that is bearish, and you can look for shorts. I added the background color change for the points where the MAs cross each other, so you do not have to have the MAs fogging up your charts to know where they are relative to one another. This is similar to my MA cross indicator which contains the same functionality. Never financial advice. Backtest it for yourself and find MA configurations that work for you. Enjoy! Feel free to send feedback/requests whenever.
Pine Script®指标
由number_juan提供
Lysergik's Stochastic SynergyThis indicator shows the average Stochastic RSI output of the 15m, 1h, 2h, 4h, and Daily Stochastic RSI. It will change in its behavior depending on the time-frame you're using, but for many markets it works best on the 30m time-frame and the daily time-frame. It is best used along with Lysergik's Fib Cross, which will allow you to avoid false signals in the stochastic synergy indicator. If your MA cross (50, 200) indicates a direction change opposite of the stochastic RSI synergy indicator then that is a signal to wait for more price action to determine your entry/exit points. Using the Lysergik's Fib Cross, the same applies, but remember that a golden cross (white cross symbol) followed directly by a golden ratio cross (gold cross symbol) is even further indication that the stochastic RSI needs more breathing room before reversing. This indicator is fully adjustable for you to back-test against charts and refine the indicator to your market. The inputs in respective order are as follows: RSI Length, Stoch Length, Smooth K, Smooth D, Upper Limit, Lower Limit, Basis Enjoy and remember only make trades on your own terms. Happy trading/investing! :)
Pine Script®指标
由lysergik提供
1
Candlestick normalizer + MA's Crossing SignalingWell, after 25 tries I finally did it ._. Here is the candlestick normalizer I was trying to achieve. In this way you can do a fast and not biased by price candlestick analysis, for example to catch engulfish and doji's on the go ;) I also added a MAs crossing-over signal I optimized. Btw, I will try to add volume signaling on this indicator. I had been thinking in 2 options: 1) Maybe as a colour/unfilled bar when volume exceed average 2) Represent the volume on the width of the candlestick. What do you prefer? Let me know. I hope you enjoy it! Phi it.
Pine Script®指标
由BiO-618提供
2
EMA & MA Crossover The Moving Average Crossover trading strategy is possibly the most popular trading strategy in the world of trading. First of them were written in the middle of XX century, when commodities trading strategies became popular. This strategy is a good example of so-called traditional strategies. Traditional strategies are always long or short. That means they are never out of the market. The concept of having a strategy that is always long or short may be scary, particularly in today’s market where you don’t know what is going to happen as far as risk on any one market. But a lot of traders believe that the concept is still valid, especially for those of traders who do their own research or their own discretionary trading. This version uses crossover of moving average and its exponential moving average.
Pine Script®指标
由HPotter提供
54
Blockcircle Global Central Bank Balance Sheet and Money SupplyOVERVIEW This indicator aggregates money supply (M2) and central bank balance sheet data from the world's largest economies into a single, unified view of global liquidity conditions. Rather than manually tracking dozens of separate data feeds or building your own aggregation logic, you get a ready-to-use tool that pulls from FRED, TradingView Economics, and real-time FX rates to convert everything into USD terms automatically. Global liquidity has historically served as a leading indicator for risk assets. When central banks expand their balance sheets and the money supply grows, capital tends to flow into equities, crypto, and other risk-on assets. When liquidity contracts, markets often follow. This indicator gives you that macro context directly on your chart. The global liquidity movement (expansionary or contractionary) often leads to asset price appreciation/depreciation in CRYPTOCAP:BTC , SP:SPX , etc WHAT MAKES IT ORIGINAL AND DIFFERENT Combines both M2 money supply AND central bank balance sheet data in one place, whereas most existing tools focus on only one metric Aggregates 11 economies for M2 (USA, EU, China, Japan, UK, Canada, India, Russia, Brazil, Australia, Switzerland) and 10 central banks for balance sheet data Automatically handles currency conversion using live FX rates so all values display in USD Includes a dedicated US Net Liquidity calculation (Fed Balance Sheet minus Reverse Repo minus TGA) which filters out temporary distortions that other aggregate tools ignore Provides granular country by country breakdown in the information table so you can identify which central banks are driving the aggregate trend Offers four moving average types (SMA, EMA, WMA, RMA) for trend smoothing with configurable length HOW IT WORKS The indicator requests monthly M2 data from TradingView's Economics feeds for each included country. Central bank balance sheet data is pulled the same way. All non-USD values are converted using daily FX rates from major currency pairs. The script then sums these converted values to produce the Global M2 and Global CBBS lines. For US liquidity specifically, the script pulls weekly data for the Reverse Repo Program (RRP) and Treasury General Account (TGA) from FRED. Net Liquidity is calculated as: Fed Balance Sheet minus RRP minus TGA. This formula removes funds parked in reverse repos and Treasury cash balances, showing what is actually circulating in the financial system. KEY FEATURES Global M2 Money Supply line tracking 11 major economies with individual toggles for each country Global Central Bank Balance Sheet line tracking 10 central banks with individual toggles US-specific components, including Reverse Repo, TGA, and Net Liquidity as separate plot lines Moving average overlays with selectable type and length for identifying trend direction Fill the option between M2 and CBBS lines to visualize the gap between money supply and central bank assets Value labels at line endpoints showing current readings and period-over-period percentage change Comprehensive information table with optional country breakdown view Full color customization for all lines, configurable line width, and style options Alert conditions for significant M2 and CBBS changes plus MA crossover signals HOW TO USE Add to any chart and observe the overall direction of global liquidity. Rising lines generally support risk on positioning, while declining lines suggest caution Watch for divergences between the M2 and CBBS lines. If money supply grows faster than central bank assets, private credit may be expanding. If CBBS rises faster, central banks are actively injecting liquidity Use the US Net Liquidity line to understand short term dollar liquidity conditions separate from longer term global trends Enable moving averages to filter noise and identify when liquidity trends are changing direction Toggle individual countries on or off in the settings to see how specific regions contribute to the total Reference the information table for exact values and percentage changes without leaving your chart SETTINGS BREAKDOWN Table Settings: position, text size, and whether to show the country breakdown Display Settings: toggle visibility for each line, fill area, value labels, percent labels, and the info table Line Styling: customize colors for each metric, adjust line width, and select solid, dashed, or dotted style Moving Average: enable or disable MA overlays for M2 and CBBS, select MA type, and set length Global M2 Countries: individually enable or disable each of the 11 economies US Liquidity Components: toggle RRP and TGA data Global CBBS Countries: individually enable or disable each of the 10 central banks Alerts: set percentage threshold for change based alerts IMPORTANT CONSIDERATIONS Data updates depend on the publication schedule of each source. M2 and CBBS data are typically monthly with some delay. US Fed Balance Sheet, US RRP and US TGA update weekly FX conversion uses daily close rates which may introduce minor discrepancies during volatile currency periods Some emerging market data may have longer reporting lags than developed market data Hope you find it useful and impactful to your trading and investment decisions! If you have any questions at all, please just ask, happy to help
Pine Script®指标
由blockcircle提供
Bollinger Bands + MA 50/100/200📊 Bollinger Bands + MA 50 / 100 / 200 Indicator This indicator combines Bollinger Bands with key Moving Averages (50, 100, 200) to help you spot trend direction, volatility, and potential reversal zones in one clean view. 🔹 Bollinger Bands * Customizable length & MA type (SMA, EMA, RMA, WMA, VWMA) * Visualizes market volatility * Upper & lower bands help identify overbought / oversold conditions 🔹 Moving Averages * MA 50 → Short-term trend * MA 100 → Medium-term trend * MA 200 → Long-term trend & major support/resistance * Easy toggle on/off for clean charting 💡 How to use * Price near upper band + strong MA trend → possible continuation * Price near lower band → watch for bounce or breakdown * MA alignment (50 > 100 > 200) → bullish trend * MA cross & BB squeeze → potential breakout incoming ⚠️ Best used with price action & risk management 📌 Works on stocks, crypto, forex, indices
Pine Script®指标
由qwyra提供
Session Sweep System – WarRoomXYZ V1WarRoom Session Sweep System v1 is a open-source institutional trading framework built to identify liquidity behavior across Asia, London, and New York sessions. It combines session-based liquidity mapping, sweep detection, daily expansion modeling, and trend confirmation into a unified, timing-driven system optimized for XAUUSD, FX pairs, indices, and any instrument with session-dependent volatility. This tool does not attempt to predict direction with arbitrary oscillators. Instead, it focuses on the underlying market mechanisms that drive price: liquidity, timing, expansion, and trend alignment. Below is a detailed explanation of what the script does, how its components work, and how traders can use it effectively. 🔹 1. Session Liquidity Mapping The script automatically identifies the Asia (00:00–06:00 GMT), London (07:00–12:00 GMT), and New York (13:00–17:00 GMT) sessions and builds real-time session ranges. Each session creates a liquidity pool. Trading institutions frequently sweep the high or low of one session before delivering the real move in the next session. This script captures that behavior by: ►Drawing session range boxes ►Tracking previous session highs/lows ►Highlighting high-probability sweep locations These ranges are essential reference points for timing entries and exits. 🔹 2. Liquidity Sweep Detection (Buy & Sell Sweeps) The indicator identifies when price runs a previous session high/low and rejects back inside the range, which is commonly interpreted as a liquidity sweep. The following sweep types are monitored: ►London sweeping Asia ►New York sweeping London ►Asia sweeping New York ►Daily sweep of PDH/PDL Sweeps signal that liquidity has been collected and that a potential reversal or continuation is likely. These are marked clearly on the chart for real-time decision-making. 🔹 3. Killzone Timing Model (GMT Time) Market manipulation and expansion often occur during specific time windows. The script highlights these institutional killzones: ►London Killzone: 07:00–10:00 GMT ►New York Killzone: 13:30–15:30 GMT ►NY PM Session: 19:00–21:00 GMT Sweeps occurring inside these windows carry a significantly higher probability. The timing layer helps filter out low-quality setups. 🔹 4. Daily Range & ADR Expansion Engine A dedicated panel displays: ►Current day range ►ADR (Average Daily Range) ►Expansion stage (Early / Developed / Extended) ►PDH/PDL swept or intact ►Overall session bias This allows traders to understand whether the daily move is likely to continue or reverse. For example: ►Early expansion → trend continuation likely ►Extended expansion → reversal setups become more probable This is useful for intraday targets and risk management. 🔹 5. MA Cloud Trend Model (Fast/Slow Structure) To align liquidity behavior with directional conviction, the script includes a configurable MA engine: ►Fast & slow MA ►MA cloud ►Slope-based trend coloring ►Trend background ►MA cross alerts The cloud provides trend confirmation without relying on oscillators. Trades are higher quality when the sweep direction aligns with the MA trend. 🔹 6. How the Components Work Together The script integrates several institutional concepts into one coherent model: ►Sessions define liquidity pools ►Sweeps identify stop-hunts and reversals ►Killzones define optimal timing ►MA Cloud confirms directional bias ►ADR engine indicates expansion potential This creates a structured framework: Sweep → Timing → Trend → Expansion → Execution Each component strengthens the others, forming a robust decision-making model. 🔹 7. How to Use the Indicator (Practical Guide) ✔ Look for a sweep of a previous session level When price runs a session high/low and closes back inside, liquidity has likely been collected. ✔ Confirm timing Sweeps inside London or NY killzones tend to produce the strongest moves. ✔ Confirm trend Use MA cloud direction and slope: ►Cloud green → long setups preferred ►Cloud red → short setups preferred ✔ Check ADR panel If the day has already expanded significantly, reversal setups are more likely. If expansion is still early, continuation setups are favored. ✔ Plan your trade Common targets include: ►Opposite side of session range ►ADR High/Low ►PDH/PDL Stops are typically placed beyond the sweep wick. This creates a repeatable, rule-based approach to intraday liquidity trading. 🔹 8. Why This Script Is Original This is not a mashup of existing open-source indicators. It introduces: ►A custom session-linked liquidity sweep engine ►A structured daily expansion model ►Integrated killzone timing aligned with GMT ►A unified bias panel merging sweeps, ADR, and session manipulation ►A trend confirmation layer designed around session behavior While it uses known institutional concepts, their integration, execution, and timing framework are unique, purpose-built, and not directly found in open-source scripts. 🔹 9. Suitable Markets This indicator works best on: ►XAUUSD ►Major FX pairs ►US indices ►Synthetic markets with session cycles Ideal timeframes: 1m, 5m, 15m, 30m 🔹 10. Limitations / Notes This is an analytical tool, not a buy/sell signal generator All sweeps are confirmed at candle close (non-repaint) The tool assumes GMT session windows unless chart time differs Users must practice risk management and entry triggers manually Disclaimer This script is provided for informational and educational purposes only. It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user. This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes. Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution. Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
Pine Script®指标
由WarroomXYZ提供
ULTIMATE ORDER FLOW SYSTEM🔥 ULTIMATE ORDER FLOW SYSTEM Overview This comprehensive order flow analysis tool combines **Volume Profile**, **Cumulative Delta**, and **Large Order Detection** to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react. 📊 Core Components & Methodology 🔥 ULTIMATE ORDER FLOW SYSTEM Overview This comprehensive order flow analysis tool combines Volume Profile, Cumulative Delta, and Large Order Detection to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react. ________________________________________ 📊 Core Components & Methodology 1. Volume Profile Analysis The script constructs a horizontal volume profile by: • Dividing the price range into configurable rows (default: 20) • Accumulating volume at each price level over a lookback period (default: 50 bars) • Separating buy volume (green bars close > open) from sell volume (red bars) • Identifying three critical levels: o POC (Point of Control): Price level with highest traded volume - acts as a strong magnet o VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone o HVN (High Volume Nodes): Resistance zones where institutions accumulated positions o LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance. ________________________________________ 2. Cumulative Delta (Order Flow) Tracks the running total of buying vs selling pressure: • Bar Delta: Difference between buy and sell volume per candle • Cumulative Delta: Sum of all bar deltas - shows net directional pressure • Delta Moving Average: Smoothed delta (20-period) to identify trend • Delta Divergences: o Bullish: Price makes lower low, but delta makes higher low (absorption at bottom) o Bearish: Price makes higher high, but delta makes lower high (exhaustion at top) How It Works: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations. ________________________________________ 3. Large Order Detection Identifies institutional-sized orders in real-time: • Compares current bar volume to 20-period moving average • Flags orders exceeding 2.5x average volume (configurable multiplier) • Distinguishes bullish (green circles below) vs bearish (red circles above) large orders Rationale: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals. ________________________________________ 🎯 Trading Signal Logic Combined Setup Criteria The script generates SHORT and LONG signals when multiple conditions align: SHORT Signal Requirements: 1. Price reaches an HVN resistance zone (within 0.2%) 2. Large sell order detected (volume spike + red candle) 3. Cumulative delta is bearish OR bearish divergence present 4. 10-bar cooldown between signals (prevents overtrading) LONG Signal Requirements: 1. Price reaches an HVN support zone 2. Large buy order detected (volume spike + green candle) 3. Cumulative delta is bullish OR bullish divergence present 4. 10-bar cooldown enforced ________________________________________ 🔧 Customization Options Setting - Purpose - Recommendation Volume Profile Rows - Granularity of level detection - 20 (balanced) Lookback Period - Historical data analyzed - 50 bars (intraday), 200 (swing) Large Order Multiplier - Sensitivity to volume spikes - 2.5x (standard), 3.5x (conservative) HVN Threshold - Resistance zone detection - 1.3 (default) LVN Threshold - Target zone identification - 0.6 (default) Divergence Lookback - Pivot detection period - 5 bars (responsive) ________________________________________ 📈 Dashboard Indicators The real-time panel displays: • POC: Current Point of Control price • Location: Whether price is at HVN resistance • Orders: Current large buy/sell activity • Cumulative Δ: Net order flow value + trend direction • Divergence: Active bullish/bearish divergences • Bar Strength: % of candle volume that's directional (>65% = strong) • SETUP: Current trade signal (LONG/SHORT/WAIT) ________________________________________ 🎨 Visual System • Yellow POC Line: Highest volume level - primary pivot • Blue Value Area Box: Fair value zone (VAH to VAL) • Red HVN Zones: Resistance/support from institutional accumulation • Green LVN Zones: Low-liquidity targets for quick moves • Volume Bars: Green (buy pressure) vs Red (sell pressure) distribution • Triangles: LONG (green up) and SHORT (red down) entry signals • Diamonds: Divergence warnings (cyan=bullish, fuchsia=bearish) ________________________________________ 💡 How This Script Is Unique Unlike standalone volume profile or delta indicators, this script: 1. Synthesizes three complementary methods - volume structure, order flow momentum, and liquidity detection 2. Requires multi-factor confirmation - signals only trigger when price, volume, and delta align at key zones 3. Adapts to market regime - delta filters ensure you're trading with the dominant order flow direction 4. Provides context, not just signals - the dashboard helps you understand why a setup is forming ________________________________________ ⚙️ Best Practices Timeframes: • 5-15 min: Scalping (use 30-50 bar lookback) • 1-4 hour: Swing trading (use 100-200 bar lookback) Risk Management: • Enter on signal candle close • Stop loss: Beyond nearest HVN/LVN zone • Target 1: Next LVN level • Target 2: Opposite value area boundary Filters: • Avoid signals during major news events • Require bar delta strength >65% for aggressive entries • Wait for delta MA cross confirmation in ranging markets ________________________________________ 🚨 Alerts Available • Long Setup Trigger • Short Setup Trigger • Bullish/Bearish Divergence Detection • Large Buy/Sell Order Execution ________________________________________ 📚 Educational Context This methodology is based on principles used by professional order flow traders: • Market Profile Theory: Volume distribution reveals fair value • Tape Reading: Large orders show institutional intent • Auction Theory: Price seeks areas of liquidity imbalance (LVN zones) The script automates pattern recognition that discretionary traders spend years learning to identify manually. ________________________________________ ⚠️ Disclaimer This indicator is a trading tool, not a trading system. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results. ________________________________________ Version: 6 (Pine Script) Type: Overlay + Separate Pane (Delta Panel) Resource Usage: Moderate (500 bars history, 500 lines/boxes) ________________________________________ For questions or support, please comment below. If you find this script valuable, please boost and favorite! 🚀 1. Volume Profile Analysis The script constructs a horizontal volume profile by: - Dividing the price range into configurable rows (default: 20) - Accumulating volume at each price level over a lookback period (default: 50 bars) - Separating buy volume (green bars close > open) from sell volume (red bars) - Identifying three critical levels: - POC (Point of Control): Price level with highest traded volume - acts as a strong magnet - VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone - HVN (High Volume Nodes): Resistance zones where institutions accumulated positions - LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance. --- 2. Cumulative Delta (Order Flow) Tracks the running total of buying vs selling pressure: - **Bar Delta**: Difference between buy and sell volume per candle - **Cumulative Delta**: Sum of all bar deltas - shows net directional pressure - **Delta Moving Average**: Smoothed delta (20-period) to identify trend - **Delta Divergences**: - **Bullish**: Price makes lower low, but delta makes higher low (absorption at bottom) - **Bearish**: Price makes higher high, but delta makes lower high (exhaustion at top) **How It Works**: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations. --- ### 3. **Large Order Detection** Identifies **institutional-sized orders** in real-time: - Compares current bar volume to 20-period moving average - Flags orders exceeding 2.5x average volume (configurable multiplier) - Distinguishes bullish (green circles below) vs bearish (red circles above) large orders **Rationale**: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals. --- ## 🎯 Trading Signal Logic ### Combined Setup Criteria The script generates **SHORT** and **LONG** signals when multiple conditions align: **SHORT Signal Requirements:** 1. Price reaches an HVN resistance zone (within 0.2%) 2. Large sell order detected (volume spike + red candle) 3. Cumulative delta is bearish OR bearish divergence present 4. 10-bar cooldown between signals (prevents overtrading) **LONG Signal Requirements:** 1. Price reaches an HVN support zone 2. Large buy order detected (volume spike + green candle) 3. Cumulative delta is bullish OR bullish divergence present 4. 10-bar cooldown enforced --- ## 🔧 Customization Options | Setting | Purpose | Recommendation | |---------|---------|----------------| | **Volume Profile Rows** | Granularity of level detection | 20 (balanced) | | **Lookback Period** | Historical data analyzed | 50 bars (intraday), 200 (swing) | | **Large Order Multiplier** | Sensitivity to volume spikes | 2.5x (standard), 3.5x (conservative) | | **HVN Threshold** | Resistance zone detection | 1.3 (default) | | **LVN Threshold** | Target zone identification | 0.6 (default) | | **Divergence Lookback** | Pivot detection period | 5 bars (responsive) | --- ## 📈 Dashboard Indicators The real-time panel displays: - **POC**: Current Point of Control price - **Location**: Whether price is at HVN resistance - **Orders**: Current large buy/sell activity - **Cumulative Δ**: Net order flow value + trend direction - **Divergence**: Active bullish/bearish divergences - **Bar Strength**: % of candle volume that's directional (>65% = strong) - **SETUP**: Current trade signal (LONG/SHORT/WAIT) --- ## 🎨 Visual System - **Yellow POC Line**: Highest volume level - primary pivot - **Blue Value Area Box**: Fair value zone (VAH to VAL) - **Red HVN Zones**: Resistance/support from institutional accumulation - **Green LVN Zones**: Low-liquidity targets for quick moves - **Volume Bars**: Green (buy pressure) vs Red (sell pressure) distribution - **Triangles**: LONG (green up) and SHORT (red down) entry signals - **Diamonds**: Divergence warnings (cyan=bullish, fuchsia=bearish) --- ## 💡 How This Script Is Unique Unlike standalone volume profile or delta indicators, this script: 1. **Synthesizes three complementary methods** - volume structure, order flow momentum, and liquidity detection 2. **Requires multi-factor confirmation** - signals only trigger when price, volume, and delta align at key zones 3. **Adapts to market regime** - delta filters ensure you're trading with the dominant order flow direction 4. **Provides context, not just signals** - the dashboard helps you understand *why* a setup is forming --- ## ⚙️ Best Practices **Timeframes:** - 5-15 min: Scalping (use 30-50 bar lookback) - 1-4 hour: Swing trading (use 100-200 bar lookback) **Risk Management:** - Enter on signal candle close - Stop loss: Beyond nearest HVN/LVN zone - Target 1: Next LVN level - Target 2: Opposite value area boundary **Filters:** - Avoid signals during major news events - Require bar delta strength >65% for aggressive entries - Wait for delta MA cross confirmation in ranging markets --- ## 🚨 Alerts Available - Long Setup Trigger - Short Setup Trigger - Bullish/Bearish Divergence Detection - Large Buy/Sell Order Execution --- ## 📚 Educational Context This methodology is based on principles used by professional order flow traders: - **Market Profile Theory**: Volume distribution reveals fair value - **Tape Reading**: Large orders show institutional intent - **Auction Theory**: Price seeks areas of liquidity imbalance (LVN zones) The script automates pattern recognition that discretionary traders spend years learning to identify manually. --- ## ⚠️ Disclaimer This indicator is a **trading tool, not a trading system**. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results. --- **Version**: 6 (Pine Script) **Type**: Overlay + Separate Pane (Delta Panel) **Resource Usage**: Moderate (500 bars history, 500 lines/boxes) --- *For questions or support, please comment below. If you find this script valuable, please boost and favorite!* 🚀
Pine Script®指标
由harshivsymposium提供
MAHI Indicator v9.5 - Smart Momentum HUD + IntradayMAHI Indicator v9.5 — Smart Momentum HUD (Multi-Framework + Intraday Engine) A Complete Momentum, Trend, and Setup Framework for Swing, Position & Intraday Traders MAHI v9.5 is the most advanced version yet — a highly optimized, visual, multi-framework trading system that blends momentum, trend alignment, adaptive setup detection, and now Auto-Intraday Mode for short-term traders. This indicator acts like a Heads-Up Display (HUD) on your chart: it shows trend strength, squeeze zones, dynamic support/resistance, EMAs, setup validation, and early reversal signals in one clean interface — without clutter. ✔ Core Features 📌 1. Smart Momentum Ribbon A dynamic EMA-based momentum band that visually shifts as trend strength changes. Helps identify strong vs. weak momentum zones Adapts to volatility & trend slope Works on all timeframes (1m to 1M) 📌 2. EMA 9 → 21 Flip System A precision trend-switching signal: EMA 9 → 21 BULL = early bullish momentum EMA 9 → 21 BEAR = early bearish momentum More reliable than stand-alone MA crossovers 📌 3. Bullish Setup Engine (Standard + Weak) Automatically identifies when price is entering a reversal-ready state based on: Position relative to the ribbon Candle structure Momentum compression Slope + exhaustion conditions Includes: Bull Setup (Standard) — Higher probability setup Bull Setup (Weak) — Early or less developed setup Setup Invalidated — Confirms that the pattern failed This prevents false confidence & keeps traders disciplined. 📌 4. Strong Buy / Strong Sell Signals Only appear when multiple confirmations align: Ribbon bias EMA slope Momentum compression Trend alignment Filtered to remove noise — especially in lower timeframes. 📌 5. Multi-Timeframe Trend HUD Top-right panel summarizing: Overall Trend (Bullish, Bearish, Neutral) RSI Condition Daily vs Weekly Alignment Trading Mode Suggestions (Buy / Sell / LEAPS / Neutral) This gives instant context. 📌 6. Auto Intraday Engine (NEW in v9.5) Automatically switches internal logic when you move into intraday timeframes (1m–30m): Intraday Enhancements: Adaptive setup detection Faster momentum sensitivity EMAs tuned for scalp/swing precision Tighter invalidation logic Reduced false positives Optional strict filtering Perfect for scalping, day trading & micro-trends Works instantly — no settings needed. Just change the chart timeframe and MAHI adjusts. 📌 7. Dynamic High-Timeframe Support (W & M) Auto-layers weekly & monthly levels: Helps identify strong bounce zones Extremely useful for swing & LEAPS traders 📌 8. Weekly Volume Shelf Projection Lightweight VWAP-style level based on weekly volume aggregation. Shows probable bottoming areas during pullbacks. ✔ Who This Indicator Is For Perfect for: Day traders Swing traders Momentum riders LEAPS & long-term investors Beginner traders needing a structured system MAHI adapts to your timeframe and trading style. ✔ Why MAHI Works MAHI isn’t a single-signal indicator — it’s a framework. It combines: Trend Momentum Volatility Setup pattern detection Validation & invalidation Multi-timeframe alignment Dynamic zones Intraday optimization This eliminates guesswork and helps traders avoid the emotional traps that cause most losses. You don’t just get a signal — you get context. ✔ How to Use It Follow the ribbon bias Use EMA 9→21 flips as trend confirmation Look for Bull Setup tags during pullbacks Avoid trades when you see Setup Invalidated Respect weekly/monthly HTF support levels On intraday charts — rely on auto-optimized mode For swing entries, combine setups with HTF trend HUD MAHI gives the map. You choose the path. ✔ Final Notes This version is heavily optimized for performance, clarity, and high-probability signals. MAHI does not repaint, and works on all assets including: Stocks Crypto ETFs Forex Futures
Pine Script®指标
由mahipalc提供
TMAX Breakout – by EricFreemanTMAX Breakout is a trend-following breakout indicator inspired by the classic Turtle Trading System, designed by EricFreeman. It identifies Donchian Channel breakouts with an MA trend filter to help traders capture strong directional moves while reducing false breakout signals. Ideal for: Trend-following traders Visual breakout confirmation Manual trading or automated strategy development More indicators in the TMAX series—RSI Divergence, Bollinger strategies, MA Cross, and more—will be released soon to form a complete professional trading toolkit. TMAX Breakout 是一款基於海龜交易法（Turtle System）延伸打造的趨勢突破指標，由 EricFreeman 設計。 透過 Donchian Channel 突破判斷結合 MA 趨勢過濾，幫助交易者在關鍵價格突破時進場，並避免弱勢走勢造成假突破。 此指標適合： 喜歡順勢交易的人 想要視覺化突破訊號的交易者 搭配 EA、自動化策略、或手動交易判斷 TMAX 系列將陸續推出更多指標：RSI 背離、布林通道策略、均線交叉等，打造完整專業交易套件。
Pine Script®指标
由ericfreemaan提供
Michal D. Lagless Moving Average | MisinkoMasterThe 𝕸𝖎𝖈𝖍𝖆𝖑 𝕯. 𝕷𝖆𝖌𝖑𝖊𝖘𝖘 𝕸𝖔𝖛𝖎𝖓𝖌 𝕬𝖛𝖊𝖗𝖆𝖌𝖊 is my latest creation of a trend following tool, which is a bit different from the rest. By trying to de-lag the classical moving average, it gives you fast signals on changes in trend as fast as possible, keeping traders & investors always in check for potential risks they might want to avoid. How does it work? First we need to calculate lengths. The lengths are calcuted using a user defined input called the "Length Multiplier" and we of course need as well the length input too. The indicator uses 10 lengths, 5 for an average price, 5 for median price. The length for the average is the following: length_2_avg = length_1_avg * length_multiplier length_3_avg = length_2_avg * length_multiplier ... and for the median lengths: length_1_median = length_2_avg length_2_median = length_3_avg Here applies this rule length_x_median < length_x_avg This is intentional, and it is because the average is a little more reactive, while the median is a bit slower. To make up for the "slowness" of the median, we simple reduce the length of it a bit more than the average. Now that we have our length we are ready to calculate averages and medians over their respective period. This is the a normal average from elementary school, nothing too fancy. Now that we have all of them we match the pairs using another user defined input called "Median Weight" like so: (Average_x * (2-median_weight) + Median_x * median_weight)/2 This gives more weight to the average (also due to the max value limit set to avoid breaking the fundational logic behind it). After doing it to all the pairs we now average those pairs using another input called "Exponential Weight Multiplier". The Exponential Weight Multiplier is used for weights which I will cover soon: weight1 = weight weight2 = weight * weight weight3 = weight * weight * weight.... This is done until we have all the weights calculated This gives exponentially more weight to the less lagging indicators, which is how we delag the indicator. Then we sum all the pairs like so: sum = pair1 * weight1 + pair2 * weight2 + pair3 * weight3 + pair4 * weight4 + pair5 * weight5 Then the sum is divided by the sum of weights, this results in us getting the final value. Methodology & What is the actual point & how was it made? I want to cover this one a bit deeper: The methodology behind this was creating an indicator that would not be lagging, and would be able to avoid lag while not producing signals too often. In many attempts in the first part, I tried using EMA, RMA, DEMA, TEMA, HMA, SMA and so on, but they were too noisy (except for SMA & RMA, but those had their flaws), so I tried the classical average taught in elementary school. This one worked better, but the noise was too high still after all this time. This made me include the median, which helped the noise, but made it far too lagging. Here came the idea of making the median length lower and adding weights to counter the lag of the median, but it was still too lagging. This made me make the weights for lengths more exponential, while previously they were calculated using a little bit amplified sums that were alright, but nowhere near my desired result. Using the new weights I got further, and after a bit of testing I was sattisfied with the results. The logic for the trend was a big part in my development part, there were many I could think of, but not enough time to try them, so I stuck to the usual one, and I leave it up to YOU to beat my trend logic and get even better results. Use Cases: - Price/MA Crossovers Simple, effective, useful - Source for other indicators This I tried myself, and it worked in a cool way, making the signals of for example RSI much smoother, so definitely try it out if you know how to code, or just simply put it in the source of the RSI. - ROC This trend logic stuck with me, I think you could find a way to make it good, but mainly for the people that can code in pine, trying out to combine the trend logic with ROC could work very well, do not sleep on it! - Education This concept is not really that complex, so for people looking for new ideas, inspiration, or just watching how trend following tools behave in general this is something that could benefit anyone, as the concept can be applied to ANYTHING, even the classical RSI, MACD, you could try even the Parabolic SAR, maybe STC or VZO, there is no limit to imagination. - Strategy creation Filtering this indicator with "and" conditions, or maybe even "or" or anything really could be very useful in a strategy that desires fast signals. - Price Distance from bands I noticed this while looking at past performance: The stronger the trend the higher the distance from the Moving Average. Final Notes Watch out for mean reverting markets, as this is trend following you could get easily screwed in them. Play around with this if it fits your desired outcome, you might find something I did not. Hope you find it useful, See you next time!
Pine Script®指标
由MisinkoMaster提供