FVG in MACROGuided by ICT tutoring, I created this versatile indicator to scan the FVG in MACRO time.
This indicator combines the MACRO time with the Fair value GAP (FVG) in an alternative way, showing a simple way of viewing the FVG within the MACRO time, so you can have a clearer view of which direction the MACRO is influencing
''MACRO is a delivery time frame of the interbank price in which it undergoes a series of controls and is likely to move towards liquidity.''
The user has the possibility to:
- Choose the relevant MACRO time
- Choose whether to view all FVGs in the MACROS
- Choose to view only the First FVG at each MACRO
The indicator should be used as shown by the ICT in its concepts, during the MACRO time the price can consolidate or can head towards liquidity.
The probability that the direction is correct increases with respect for the FVG, in this way it is possible to evaluate the entry zone in the FVG and the Take profit zone for Liquidity
As in the following example:
在脚本中搜索"liquidity"
Fair Value Strategy - ekmllThis is a strategy using SPX's Fair Value derived from Net Liquidity.
The main difference between this one and calebsandfort's one is net liquidity values in this one are calculated in TradingView and doesn't need author's daily library updates to function.
Net Liquidity function is simply: Fed Balance Sheet - Treasury General Account - Reverse Repo Balance
Formula for calculating the fair value of and Index using Net Liquidity looks like this: (WALCL - WTREGEN - RRPONTSYD)/1000000000/scalar - subtractor
The Index Fair Value is then subtracted from the Index value which creates an oscillating diff value.
When diff is greater than the overbought threshold, Index is considered overbought and we go short/sell.
When diff is less than the oversold signal, Index is considered oversold and we cover/buy.
Parameters:
Index: SPX, NDX, RUT
Strategy: Short Only, Long Only, Long/Short
Inverse (bool): check if using an inverse ETF to go long instead of short.
Scalar (float)
Subtractor (int)
Overbought Threshold (int)
Oversold Threshold (int)
Start After Date: When the strategy should start trading
Close Date: Day to close open trades. I just like it to get complete results rather than the strategy ending with open trades.
I've optimized the parameters for SPX.
Fair Value Strategy UltimateThis is a strategy using an index's (SPX, NDX, RUT) Fair Value derived from Net Liquidity.
Net Liquidity function is simply: Fed Balance Sheet - Treasury General Account - Reverse Repo Balance
Formula for calculating the fair value of and Index using Net Liquidity looks like this: net_liquidity/1000000000/scalar - subtractor
The Index Fair Value is then subtracted from the Index value which creates an oscillating diff value.
When diff is greater than the overbought threshold, Index is considered overbought and we go short/sell.
When diff is less than the oversold signal, Index is considered oversold and we cover/buy.
The net liquidity values I calculate outside of TradingView. If you'd like the strategy to work for future dates, you'll need to update the reference to my NetLiquidityLibrary , which I update daily.
Parameters:
Index: SPX, NDX, RUT
Strategy: Short Only, Long Only, Long/Short
Inverse (bool): check if using an inverse ETF to go long instead of short.
Scalar (float)
Subtractor (int)
Overbought Threshold (int)
Oversold Threshold (int)
Start After Date: When the strategy should start trading
Close Date: Day to close open trades. I just like it to get complete results rather than the strategy ending with open trades.
Optimal Parameters:
I've optimized the parameters for each index using the python backtesting library and they are as follows =>
SPX
Scalar: 1.1
Subtractor: 1425
OB Threshold: 0
OS Threshold: -175
NDX
Scalar: 0.5
Subtractor: 250
OB Threshold: 0
OS Threshold: -25
RUT
Scalar: 3.2
Subtractor: 50
OB Threshold: 25
OS Threshold: -25
3Commas Bot DCA Backtester & Signals FREEThis is a DCA Strategy backtester + signals, built to emulate the 3Commas DCA bots. It uses your choice of 4 different buy signals, 2 of which can be adjusted in the settings. Everything is customizable so you can backtest specific settings with different buy signals and find the best performing strategy for your risk tolerance and capital. It can be used to backtest strategies on stocks as well, but just make sure your base order is larger than the share price for the entire backtesting range or it will not calculate properly.
You can use this template to code your own buy signals and then backtest them as a DCA strategy if you know some basic pine script.
The indicator shows all of your backtesting orders on the chart. The red line is your take profit level, the blue line is your average price level, the white line is your first order and the green lines are your average down orders. If you enable a stop loss in the settings your stop loss will be shown as an orange line once all of your average down orders have been hit, it will not be set until price has dipped below your covered trading range.
These levels update when things change during backtesting so you can visualize your strategy and how it would perform as well as see if your percentage deviation is large enough to cover dips. When backtesting trades are taken, the chart will show where they were taken(in backtesting) along with info on those trades such as the number each order is, the size of that order and the percentage deviation that order is from the initial buy.
SENDING SIGNALS TO 3COMMAS
Tradingview cannot sync this backtester to 3Commas and with the way alerts are setup for strategies on Tradingview, the best option for you to give signals to your bot would be to use this backtester to figure out what trigger you want to use and then setup that indicator separately to send alerts to your bot. All of the indicators used for signals in this backtester are available for free and can be configured to match this backtester and send alerts to 3Commas for you. Just make sure you set your alerts to once per bar close and don’t use less than a 15 second timeframe because then you could trigger the Tradingview threshold for alerts and get your alerts shut off.
You can also use this backtester with your own buy triggers if you know a little pine script. Just make copy of the script and code in your own buy signals and see how it backtests.
INFO PANEL FOR ANALYZING YOUR STRATEGY
The right hand side of the screen will show an info panel that shows a lot of different information so you can quickly see your bot settings and how it performed right on the screen.
In the top right corner you will see in purple your bot settings. These include your stoploss % if turned on, take profit %, average down order %, average down order % multiplier, volume multiplier, max number of orders allowed and size of your base order.
The top section of the first column “Current Trade” shows these stats: the open trade’s average price, the open trade’s take profit price, the open trade’s PNL, how far price is from your open tarde’s take profit level in percentage, your open position size and number of open orders.
The bottom section of the first column “Overall Performance” shows these stats: total number of trades taken during backtesting range, the largest amount of trades that were open at one time during backtesting, the max drawdown, the average number of bars per trade, gross profit, net profit, percent profit from your initial capital, current portfolio value and your initial capital.
CUSTOMIZABLE OPTIONS TO FIND THE PERFECT STRATEGY
Stoploss On/Off
This will turn your stoploss on or off. By default it is set to off and will not affect anything unless turned on.
Stoploss Percentage
This is the percentage below your final average down order price that will be set as a stoploss to keep your account from going too far in the red on big dips.
Take Profit Percentage - This is the percentage of profit you want the trade to hit before taking profit on your entire DCA trade. This level updates everytime you average down.
Average Down Percentage - This is the percentage that price has to drop from your initial order to initiate your first safety order. If the Average Down Percent Multiplier is set to 1 then this percentage will be the same for every average down order.
Average Down Percentage Multiplier - This multiplies your Average Down Percentage so each safety order needs a larger percentage deviation than the previous one. This keeps your buys closer together at the beginning and further apart when you hit more orders so you can extend your trading range but still be aggressive when price is going sideways.
Volume Multiplier Per New Order - This multiplies the size of each trade based on your base order. If you set it to a 2x multiplier then each average down order will be 2 times the size of the last one. So for example, a $100 base order with a 2x multiplier would have these values for the first 3 average down orders: 200, 400, 800.
Size Of Base Order - This is the size of your first position entry and will be used as a starting point for the volume multiplier. If your base order is $100 then it will buy $100 worth of whatever crypto you are backtesting this on. If you are looking at stock charts, you need to make sure your base order is higher than the share price across the entire backtesting range or it will not perform correctly.
Max Number Of Orders - This is the maximum number of orders the bot can take, including your base order. Adjust this to suit the amount of capital you are willing to allocate to your bot based on how much money it will require to run according to your bot settings.
TIPS ON HOW TO USE FOR BEST RESULTS
If you don’t have a lot of capital to work with, then use longer timeframes with a reasonable take profit percentage so that you don’t need a lot of average down orders. You can also try keeping the volume multiplier close to 1.
You can use the 3Commas dca bot settings page to see how much capital you will need for your strategy if you match it to the settings you have on this indicator. You can also check to see how much of a percentage deviation your bot is covering to make sure you have a reasonable range to trade in and orders to cover big dips. You can also check your coverage by seeing how far down the chart the green lines cover, which are your average down orders.
Make sure the initial capital in the properties tab of the settings has enough to cover all of your orders otherwise you will get unrealistic backtesting results. Also, make sure you leave the order size in the properties tab on contracts so it calculates your trades correctly. The only settings you need to touch in the properties tab is the initial capital. Unless you are trading somewhere that has lower commission fees, then you can change that to match, but leave all the other settings as is for it to function properly.
Increasing the volume multiplier will make your average price and take profit target follow the price action a lot closer as price falls, but it can also lead to having very large orders very quickly once you get into the 1.5-3x multiple range. Try using a high volume multiplier with less safety orders and you will get better results, however you need to have money on the sidelines to add on major dips to keep your bot turning a profit. Be very careful with this as greed and impatience will hurt your overall performance. This bot is meant to make money with lots of small wins so don’t get greedy and make sure you have enough money to cover large dips. If you are being aggressive with your bot, then I recommend only using 25% or less of your portfolio to trade aggressively and then use the smart trade feature on 3commas to add chunks of funds to your trades when price dips below your last safety order. Or if you want it to run without any supervision, then use lower volume multipliers and have lots of safety orders that can cover entire bear markets and still keep buying lower.
It’s a good idea to have some capital on the sidelines that you can add in when price dips quickly. This will help lower your average price and allow your bot to get out in profit quicker. 3Commas bot has a smart trade feature that will allow you to track your average price when adding extra funds and it will automatically update your other orders which is very convenient. Look at the longer timeframes when price dips and only add chunks at major areas where price is very likely to bounce. Or you can be aggressive when trading and add to your position when price dips and is at a likely bounce zone to maximize profits.
Only trade coins that have a good amount of liquidity as the larger your orders get, the harder it will be to sell if there isn’t much liquidity. Also, beware of how large your first order is as it will usually be a market order and can move the market if there is not much liquidity.
Since this bot takes a lot of trades and performs best when taking small profits consistently, you will need to factor in exchange fees. The bot is set to .5% commission(you can change this) on the buy and sell orders as most exchanges charge that amount. Some exchanges offer no fee trading on certain coins so be sure to look around for those so you can keep the commissions and maximize profits.
I strongly encourage you to try out a lot of different setting combinations across multiple different coins and do it across a few months to see how it would have performed under various market conditions. This will help you get a better idea of how much of a percentage deviation you’ll need to be able to cover to keep your bot running and making constant profits. You can also use the deep backtesting feature of the strategy panel to see how it would have done, but just beware that the info panel of the indicator will not reflect deep backtesting results, only the normal backtesting range.
MARKETS
This backtester can be used on any market including crypto, stocks, forex & futures. You just need to make sure your base order is larger than the share price when using this on things besides crypto.
TIMEFRAMES
This backtester can be used on all timeframes.
SPX Fair Value Strategy UltimateThis is a strategy using the SPX Fair Value derived from Net Liquidity.
Net Liquidity function is simply: Fed Balance Sheet - Treasury General Account - Reverse Repo Balance
Formula for calculating the fair value of SPX using Net Liquidity looks like this: net_liquidity/1000000000/1.1 -1625
The SPX Fair Value is then subtracted from the SPX value which creates an oscillating diff value.
When diff is greater than 350, SPX is considered overbought and we go short/sell.
When diff is less than -150, SPX is considered oversold and we cover/buy.
The net liquidity values I calculate outside of TradingView. If you'd like the strategy to work for future dates, you'll need to update them.
Paremeters:
Strategy: Short Only, Long Only, Long/Short
Inverse (bool): check if using an inverse ETF to go long instead of short.
Start After Date: When the strategy should start trading
Close Date: Day to close open trades. I just like it to get complete results rather than the strategy ending with open trades.
Demand & Supply Zones [eyes20xx]Demand & Supply Zones
This indicator helps to identify large moves driven by institutions.
What qualifies as a zone?
If the price moves (open to close) by more than a certain % in one candle or in a bullish / bearish run of candles, the zone is marked as a Demand or Supply zone .
0.8% is good for Crypto and Forex might be better with 0.4%. Play around with the % to match your requirements.
Active zones
A zone remains active until it is hit by the price. When it becomes inactive, the zone background becomes transparent.
Zone lines
Lines are displayed if the zone is active and within a certain % of the close. 3% is a good setting for Crypto.
A maximum of two lines are displayed for each zone type.
BITCOIN KILL ZONES v2Kill Zones
Kill zones are really liquidity events. Many different market participants often come together and act around these events. The activity itself may be event driven (margin calls or options exercise related activity), portfolio management driven (buy-on-close and asset allocation rebalancing orders) or institutionally driven (larger players needing liquidity to get filled in size) or a combination of any/all three. The point is, this intense cross current of activity at a very specific point in time often occurs near significant technical levels and trends established coming out of these events often persist until the next Kill Zone in approached/entered.
Specifically, there are three Kill Zones and each has its own importance/significance.
1. Asian Kill Zone (1900 - 2300 EST) Considered the "institutional" zone, this zone represents both the launch pad for new trends and also too a reloading area from the post American session. It is the start of a new day (or week) for the world and as such it makes sense this zone will often set the tone for the rest of the world's trading day. Since it is very wide (4 hours) one should pay attention to the Tokyo open (2100 EST) the Beijing open (2120 EST) and the Sydney open (0650 EST previous day).
2. London Kill Zone (0200 - 0400 EST) Considered the center of the financial universe for more than 500 years, Europe still carries a lot of influence within the banking world. Many larger players use the Euro session to establish their positions. As such, the London open often sees the most significant trend establishment activity through any given trading day. Indeed, it has been suggested 80% of all weekly trends are established through Tuesday's London Kill Zone.
3. New York Kill Zone (0830 - 1030 EST) The United States is still by far the world's largest economy and so by default New York's open carries a lot of weight and often comes with a big injection of liquidity. Indeed, most of the world's trade-able assets are priced in US dollars which gives even more significance to political and economic activity within this region. Because it comes relatively late in the globe's trading day, this Kill Zone often sees violent price swings within it's first hour leading to the time tested adage "never trust the first hour of North American trading.
Additional notes:
It has become apparent these Kill Zones are evolving over time and the course of world history. Since the end of the second world war, New York has slowly encroached on London's place as the global center for commercial banking. So much so through the later part of the 20th century New York was considered indeed, the new center of the financial universe. With the end of the cold war that leadership seems to have shifted back toward Europe and away from The United States. Additionally, Japan has slowly lost its former predominance within the global economic landscape while Beijing's has risen dramatically.
Only time will tell how these kill zones will evolve given each region's ever changing political, economic and socioeconomic influences.
Trading Notes:
If you have specific levels of interest odds are the bigger players have the same levels too. If it is indeed a solid level, look for price to trade to your level through the kill zone because the zone is a liquidity event where the bigger players can find enough size to get their big orders filled.
Try to avoid taking positions heading into Kill Zones and look for confirmation of your levels coming out of the event. For the more advanced trader, look to take positions on those level hits through the zone but understand higher time frame players often have far deeper pockets then day traders and can endure far more volatility then us little guys.
Thanks for the contribution to @CRInvestor and @ICT_MHuddleston
Turtle soupHi all!
This indicator will show you turtle soups. The logic is that pivots detected from a higher timeframe, with the pivot lengths of left and right in the settings, will be up for 'grabs' by price that spents more than one candle above/below the pivot.
If only one candle is beyond the pivot it's a liquidity sweep or grab. Liquidity sweeps can be discovered through my script 'Market structure' (), but this script will discover turtle soup entries with false breakouts that takes liquidity.
The turtle soup can have a confirmation in the terms of a change of character (CHoCH). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD).
Turtle soups (pivots that have been 'taken') within a turtle soup will also be visible (but not have a turtle).
Alerts are available for when a turtle soup setup occurs and you can set the alert frequency of your liking (to get early signals with a script that might repaint or wait for a closed candle).
I hope that this description makes sense, tell me otherwise. Also tell me if you have any improvements or feature requests.
Best of trading luck!
The chart in the publication contains a 4 hour chart with a daily timeframe and confirmations with CHoCH.
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user.
The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market.
Key Features:
Dynamic correlation calculation between Gold and Bitcoin.
Adjustable offset in days (default: 107) to fine-tune the temporal shift.
Automatic labels and on-chart visualization.
Compatible with multiple timeframes and logarithmic scales.
Interpretation:
Positive correlation suggests synchronized trends between both assets.
Negative correlation signals divergence or rotation of liquidity.
The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin.
Recommended use:
For macro-financial and global liquidity cycle analysis.
As a complementary tool in cross-asset momentum strategies.
© 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles.
This script is for educational purposes only and does not constitute financial advice.
FVG Zones with Signals█ OVERVIEW
"FVG Zones with Signals" is a technical analysis tool that identifies Fair Value Gaps (FVG) on the chart and draws customizable zones in the form of boxes. It is ideal for traders using price action and market structure strategies, helping to identify potential imbalance zones and trading opportunities based on breakout and exit signals. With flexible size filter settings, box styles, and signal options, the indicator ensures clarity and precision on the chart.
█ CONCEPTS
The indicator is designed to identify potential entry points for trades based on FVG breakouts or retests. For chart clarity, a size filter for FVGs is included, based on a multiplier of the average candle size over a specified period.
Why are FVGs important? FVG zones represent areas of market imbalance, often attracting price back to "fill" the gap. Larger gaps (with a higher size multiplier) have a greater chance of being retested, as they indicate deeper imbalances—leaving more unexecuted orders in those zones, which attracts liquidity. Market makers and institutions often return to these levels to "refresh" liquidity before further moves. However, not every large FVG is retested quickly—in strong trends, smaller imbalances may be ignored, and the location (e.g., near swing highs/lows) is critical for retest probability.
█ FEATURES
- FVG Detection: Identifies bullish and bearish FVGs based on size filters (Candle Size Period and FVG Size Multiplier), with automatic initialization of historical gaps up to 500 candles back.
- Customizable Boxes: Draws FVG boxes with adjustable border colors, background gradients, border styles (solid, dashed, dotted), border widths, and transparency for both the background and the 50% FVG midline.
- Breakout and Exit Signals: Generates "Break" signals (green upward triangle for breakouts above bearish FVG, red downward triangle for breakouts below bullish FVG) and "Exit" signals (circles for exiting the zone), with options to select signal types (Break, Exit, or Both). A break signal causes the box to disappear, leaving a triangle as a trace of the breakout, which may serve as a signal to open a position. Exit signals (circles) may also indicate entry opportunities but require additional confirmation, such as alignment with the main trend.
- Midline: Automatically draws a dashed line at the 50% FVG level with adjustable transparency, aiding in assessing price reactions within the zone.
- Box Limitation: Automatically removes old or inactive FVGs after 500 candles to avoid chart clutter.
- Alerts: Built-in alerts for all signal types, including price and FVG type descriptions.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
- FVG Settings: Adjust Candle Size Period (default 20) and FVG Size Multiplier (default 1) to filter out small gaps—higher values generate fewer but more significant FVGs.
- Box Settings: Configure colors and styles for bullish (green) and bearish (red) boxes, including background transparency (default 80) and midline transparency.
- Signal Settings: Select signal types (Break, Exit, or Both) in Signal Type. Breakout signals appear after a candle closes outside the zone, while exit signals appear when exiting an FVG without a full breakout.
- Styling: Customize signal colors (green for buy/up, red for sell/down) and shape sizes.
Interpreting Signals:
- Break Up Signal: A green triangle below the bar indicates a breakout above a bearish FVG, suggesting potential continuation of an uptrend.
- Break Down Signal: A red triangle above the bar indicates a breakout below a bullish FVG, suggesting potential continuation of a downtrend.
- Exit Up/Down Signal: A green/red circle indicates an exit from an FVG without a full breakout, which may signal the end of a correction or preparation for a reversal.
- FVG Zones: If the price returns to an FVG and fills the gap, it may indicate equilibrium; an unfilled gap often leads to a retest.
- Use signals in conjunction with other technical analysis tools for confirmation, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze FVGs from higher timeframes—these zones act as stronger imbalance levels and carry greater structural significance.
Exit signals (retests without breakouts) tend to be most effective when traded in line with the current trend.
█ APPLICATIONS
- Price Action Trading: Use FVG zones as dynamic support and resistance levels. In an uptrend, look for buying opportunities in bullish FVGs, where price often tests the gap before continuing. Combining with RSI, MACD, or Fibonacci levels enhances the significance of zones.
- Breakout Strategies: Trade based on breakout signals from FVGs. A buy signal after breaking a bearish FVG may indicate a strong upward impulse, especially when supported by a rising MACD or RSI exiting oversold conditions.
Larger FVG gaps (higher multiplier) have a greater chance of retest, as they indicate deeper imbalances.
█ NOTES
- Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize size filters for your trading style.
- The indicator initializes historical FVGs up to 500 candles back, which may slow loading on longer charts.
- For best results, use on high-liquidity markets where FVGs are more frequently retested.
- In consolidation zones, the indicator may generate more false signals, so additional confirmation is recommended.
Session Open Candle MarkerThe "Session Open Candle Marker" is a Pine Script indicator designed for forex and futures traders using Smart Money Concepts (SMC) and RP Profits-inspired strategies. It marks the 15-minute opening range candles for the Asia, London, and NY sessions, where institutional "big players" often gather liquidity. Each session’s range is drawn as a rectangle with a customizable midpoint line, ideal for spotting breakouts, retests, and liquidity sweeps.
Features
Session Open Ranges: Plots rectangles for the 15m open candles of Asia (03:00 EEST), London (10:00 EEST), and NY (15:00 EEST), corresponding to 01:00, 08:00, and 13:00 GMT+1.
Customizable Visualization:
Toggle each session (Asia, London, NY) on/off.
Independent high/low label toggles for each session.
Adjustable rectangle color, midpoint line color, style (solid/dashed/dotted), and width.
Customizable rectangle duration (default: 96 bars, ~24 hours on 15m).
Timezone Flexibility: Default times are set for EEST (UTC+3). Adjust session inputs for your chart’s timezone (e.g., GMT+1: Asia 01:00, London 08:00, NY 13:00; UTC: Asia 00:00, London 07:00, NY 12:00).
Clean Design: Rectangles and labels update dynamically, with proper cleanup to avoid clutter.
Usage:
Setup: Add to a 15m chart (e.g., EURUSD, ES1!). Check your chart’s timezone (Chart Settings > Symbol > Timezone) and adjust session times if needed.
Settings:
Toggle sessions and labels to focus on desired ranges (e.g., London and NY for high volatility).
Customize colors, midpoint line style/width, and rectangle duration.
Trading:
Breakouts/Retests: Trade breakouts above/below the rectangle high/low, with retests back to the range or midpoint (aligned with RP Profits scalping).
Liquidity Sweeps: Watch for price sweeping session highs/lows, reversing for entries (SMC concept).
Global M2 Money Supply Top20 + Offset & WaveThe M2 Top20 is a global aggregation of the M2 money supply from the 20 largest economies in the world , providing a comprehensive view of the total liquidity in the global financial system. It is expressed in trillions of USD.
This script calculates and visualizes the M2 Money Supply of the Top 20 Global Economies, adjusted to various timeframes (4H, 1D, 1W, 1M) with customizable offset adjustments (in days) from -1000 days to +1000 days. This indicator includes data from the Americas, Europe, Africa, and the Asia Middle East , offering a diverse and balanced representation of major economic regions. The M2 of each country has been converted to USD.
Additionally, the user can set a minimum and maximum offset to create a wave around the main offset and expand the comparison.
Combining these options, this indicator enables users to visualize a range of the global money supply, making it useful for market analysis, economic forecasting, and understanding macroeconomic trends. This indicator is particularly valuable for traders and analysts interested in understanding the dynamics of global monetary systems and their potential impact on financial markets.
Key Features:
Global M2 Money Supply calculation from the Top 20 Economies.
Adjustable Offset: Adjust the offset to align the indicator with the best bar. Adjustment in days, usable on different timeframes (1D, 1W, 4H, 1M).
Wave Projection: Displays a "probability cloud"—a smoothed area that shows the probable path of Bitcoin, derived from shifts in global liquidity.
Min/Max Offset Adjustments: Customizable offsets allow you to determine the range of future windows, helping to shape the wave and better identify liquidity-driven turning points.
Use Cases:
Economic Forecasting: Identify trends in global money supply and their potential market impact (e.g., historically leads Bitcoin price by +/- 78 days to +/-108 days).
Market Analysis: Track the growth or contraction of money supply across key economies.
Macro-Economic Analysis: Understand the relationship between monetary policies and market performance.
How to use:
Add the indicator to your chart.
Set the timeframe to 1D to customize the offset.
Set the Offset (in days).
Set the Offset Range Minimum and Maximum.
Show/Hide the Range Wave
.
Use offset = 0 to have the indicator align directly with the current data, without any shift, providing a baseline for comparison with the most recent market conditions.
Countries included in the M2 Top20:
China (CN), Japan (JP), South Korea (KR), Hong Kong (HK), Taiwan (TW), India (IN), Saudi Arabia (SA), Thailand (TH), Vietnam (VN), United Arab Emirates (AE), Malawi (MW) – Africa, United States (US), Canada (CA), Brazil (BR), Mexico (MX), Eurozone (EU), United Kingdom (GB), Russia (RU), Poland (PL), Switzerland (CH).
These countries were selected from the ranking of the World Economy Indicator of Trading View .
Volume Profile [ActiveQuants]The Volume Profile indicator visualizes the distribution of trading volume across price levels over a user-defined historical period. It identifies key liquidity zones, including the Point of Control (POC) (price level with the highest volume) and the Value Area (price range containing a specified percentage of total volume). This tool is ideal for traders analyzing support/resistance levels, market sentiment , and potential price reversals .
█ CORE METHODOLOGY
Vertical Price Rows: Divides the price range of the selected lookback period into equal-height rows.
Volume Aggregation: Accumulates bullish/bearish or total volume within each price row.
POC: The row with the highest total volume.
Value Area: Expands from the POC until cumulative volume meets the user-defined threshold (e.g., 70%).
Dynamic Visualization: Rows are plotted as horizontal boxes with widths proportional to their volume.
█ KEY FEATURES
- Customizable Lookback & Resolution
Adjust the historical period ( Lookback ) and granularity ( Number of Rows ) for precise analysis.
- Configurable Profile Width & Horizontal Offset
Control the relative horizontal length of the profile rows, and set the distance from the current bar to the POC row’s anchor.
Important: Do not set the horizontal offset too high. Indicators cannot be plotted more than 500 bars into the future.
- Value Area & POC Highlighting
Set the percentage of total volume required to form the Value Area , ensuring that key volume levels are clearly identified.
Value Area rows are colored distinctly, while the POC is marked with a bold line.
- Flexible Display Options
Show bullish/bearish volume splits or total volume.
Place the profile on the right or left of the chart.
- Gradient Coloring
Rows fade in color intensity based on their relative volume strength .
- Real-Time Adjustments
Modify horizontal offset, profile width, and appearance without reloading.
█ USAGE EXAMPLES
Example 1: Basic Volume Profile with Value Area
Settings:
Lookback: 500 bars
Number of Rows: 100
Value Area: 70%
Display Type: Up/Down
Placement: Right
Image Context:
The profile appears on the right side of the chart. The POC (orange line) marks the highest volume row. Value Area rows (green/red) extend above/below the POC, containing 70% of total volume.
Example 2: Total Volume with Gradient Colors
Settings:
Lookback: 800 bars
Number of Rows: 100
Profile Width: 60
Horizontal Offset: 20
Display Type: Total
Gradient Colors: Enabled
Image Context:
Rows display total volume in a single color with gradient transparency. Darker rows indicate higher volume concentration.
Example 3: Left-Aligned Profile with Narrow Value Area
Settings:
Lookback: 600 bars
Number of Rows: 100
Profile Width: 45
Horizontal Offset: 500
Value Area: 50%
Profile Placement: Left
Image Context:
The profile shifts to the left, with a tighter Value Area (50%).
█ USER INPUTS
Calculation Settings
Lookback: Historical bars analyzed (default: 500).
Number of Rows: Vertical resolution of the profile (default: 100).
Profile Width: Horizontal length of rows (default: 50).
Horizontal Offset: Distance from the current bar to the POC (default: 50).
Value Area (%): Cumulative volume threshold for the Value Area (default: 70%).
Volume Display: Toggle between Up/Down (bullish/bearish) or Total volume.
Profile Placement: Align profile to the Right or Left of the chart.
Appearance
Rows Border: Customize border width/color.
Gradient Colors: Enable fading color effects.
Value Area Colors: Set distinct colors for bullish and bearish Value Area rows.
POC Line: Adjust color, width, and visibility.
█ CONCLUSION
The Volume Profile indicator provides a dynamic, customizable view of market liquidity. By highlighting the POC and Value Area, traders can identify high-probability reversal zones, gauge market sentiment, and align entries/exits with key volume levels.
█ IMPORTANT NOTES
⚠ Lookback Period: Shorter lookbacks prioritize recent activity but may omit critical levels.
⚠ Horizontal Offset Limitation: Avoid excessively high offsets (e.g., close to ±300). TradingView restricts plotting indicators more than 500 bars into the future, which may truncate or hide the profile.
⚠ Risk Management: While the indicator highlights areas of concentrated volume, always use it in combination with other technical analysis tools and proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk. The Volume Profile highlights historical liquidity but does not predict future price movements. Always use stop-loss orders and confirm signals with additional analysis. Past performance is not indicative of future results.
📊 Happy trading! 🚀
MW:TA Days of the WeekENG: Vertical separators to easily detect days of the week and see which past liquidity was taken down. Screenshot example contains days of the week indicator and manually drawn lines of grabbed liquidity. Useful for trades based on liquidity grab and reaction.
Tested on Forex, Crypto, Indexes, Stocks, Commodities markets.
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РУС: Вертикальные разделители для визуального определения дней недели и просмотра снятой ликвидности на графике. На скриншоте отмечен индикатор разделительных периодов (дней) и вручную нарисованные линии, которые отмечают снятую ликвидность и реакцию цены на снятие. Полезно для тех трейдеров, которые торгуют по реакции на снятую ликвидность.
Протестировано на рынках Форекс, Крипто, ИНдексов, Акций и Сырья.
Fundamental AnalysisThis indicator compiles a wide range of essential financial metrics directly onto your chart, providing a quick and easy reference to the financial condition of any listed company. Instead of diving into lengthy financial reports, you get an at-a-glance overview of the most critical financial ratios and figures.
Key Metrics Included:
Interest Coverage Ratio: Helps assess a company’s ability to pay interest on its debt. Higher values suggest greater financial stability and lower default risk.
Gross Profit Margin: Shows how much profit a company makes after covering its production costs. A higher margin indicates better efficiency and profitability in managing costs.
Dividend Yield: Reflects the annual dividend payout as a percentage of the current stock price. A moderate dividend yield may indicate a balance between income generation and growth potential.
Enterprise Value (EV): A comprehensive measure of a company's total value, including debt. Useful for comparing companies with different capital structures.
Free Cash Flow to Equity (FCFE): Reveals how much cash is available to shareholders after accounting for capital expenditures and debt repayments, indicating the company’s ability to reward investors.
Price-to-Book Ratio (P/B): Compares a company's market value to its book value. Lower values might indicate undervaluation, while higher values can suggest overvaluation.
Price-to-Cash Flow Ratio (P/CF): Helps identify companies that generate a significant amount of cash relative to their price, a key metric for assessing liquidity and sustainability.
Price-to-Free Cash Flow Ratio: Shows how much investors are paying for the company's free cash flow, which is crucial for assessing value, especially in capital-intensive sectors.
Price Earnings Ratio (P/E): The classic metric for valuing a company based on its earnings. Useful for comparing valuations across companies and industries.
Debt-to-Equity Ratio: Indicates the proportion of company financing that comes from debt and equity. A lower ratio typically signifies a less risky investment.
Return on Equity (ROE): Measures how effectively a company uses equity capital to generate profit. A higher ROE can indicate a profitable, well-managed company.
Quick Ratio: Assesses a company’s short-term liquidity by comparing its liquid assets to its current liabilities. Higher values indicate better liquidity.
Operating Margin: Reflects the percentage of revenue left after covering operating expenses. Higher margins suggest greater operational efficiency.
How to Use This Indicator:
Use this indicator as part of your due diligence when analyzing potential investments. Each metric is color-coded to quickly highlight whether the value is within a favorable range, making it easy to identify strong or weak aspects of a company’s financial position.
Green indicates favorable metrics, suggesting financial strength or value.
Red highlights areas of concern, pointing to potential risks or weaknesses.
This tool can help you compare different companies, spot trends over time, and make more informed decisions based on solid financial analysis. Whether you’re a value investor looking for undervalued stocks, a dividend seeker searching for sustainable payouts, or a growth investor focused on profitability and efficiency, this indicator can be tailored to your strategy.
Fair Value Gap & Gap Profile [BigBeluga]This indicator is designed to help traders identify and utilize fair value gaps on price charts and analyze volume at these points. These gaps, formed by significant price movements, can act as key support and resistance levels. The indicator enhances trading strategies by visually representing these gaps, making it easier for traders to spot potential entry and exit points.
⦿ What Is A Fair Value Gap?
Before diving into the practical use of the Fair Value Gap in trading, it's crucial to have a clear understanding of what it is and how to identify it on your charts. The Fair Value Gap, or FVG , is a widely utilized tool among price action traders to detect market inefficiencies or imbalances. Sometimes you will even see them labeled as inefficiencies by other traders. These imbalances arise when buying or selling pressure is significant, resulting in a large upward or downward move, leaving behind an imbalance in the market.
The idea behind FVGs is that the market will eventually come back to these inefficiencies in the market before continuing in the same direction as the initial impulsive move. FVGs are important since traders can achieve an edge in the market. Price action traders can also use these imbalances as entry or exit points in the market.
By visually representing gaps and their profile, the Fair Value Gap (FVG) & Gap Profile indicator provides a historical overview of gaps within a specified lookback period, showing the distribution and density of gaps across different price levels. This insight helps traders identify zones where the price tends to move more fluidly, often encountering less resistance. High points on the Gap Profile indicate areas where gaps have occurred frequently in the past, which could serve as potential breakout or breakdown zones.
⦿ Key Features:
● Gap Detection and Visualization:
- Identifies Bullish and Bearish Gaps: Highlights gaps where the price moved significantly up or down along with a volume. Intensivity of color show strength of FVG by volume
- Filter for Significant Gaps: Allows users to filter out insignificant gaps, ensuring only relevant gaps are displayed.
● Customizable Display Options:
- Shows Filled Gaps: Option to display gaps that have been filled, aiding in the analysis of historical price movements.
- Displays Filled Gap Levels: Highlights the levels of filled gaps.
● Gap Profile:
Gap Profile Insight: The Gap Profile feature shows the distribution of gaps over a specified lookback period. High points on the FVG Profile indicate areas with a significant number of gaps in the past. These high points are signs of low resistance for price movement. Consequently, at these points, the price tends to move more easily without encountering strong resistance. Traders can use this information to identify potential breakout or breakdown zones where price action is likely to be more fluid.
● Grab Liquidity Detection:
- Collect liquidity Signals: Plots markers on the chart where price interacts with gap levels, providing potential trade signals based on liquidity.
⦿ How Traders Can Use This Indicator:
- Plan Trades: Use gaps as potential entry and exit points, based on whether the price is approaching, filling, or moving away from a gap.
- Analyze Market Trends: Understand historical price movements by analyzing filled gaps and their impact on current price action.
- Analyze Gap Profile: Identify zones where the price tends to move more fluidly, often encountering less resistance. High points on the Gap Profile indicate areas where gaps have occurred frequently in the past, which could serve as potential breakout or breakdown zones.
- Price imbalance: market will eventually come back to these inefficiencies and fill them. inefficiencies or imbalances in the market usually act as a magnet for price.
By incorporating the Fair Value Gap & Gap Profile indicator into their trading strategy, traders can gain a clearer understanding of market dynamics and make more informed trading decisions.
Money Flow DivergenceThe Money Flow Divergence indicator is designed to help traders identify periods when there is a significant divergence between the growth of the U.S. M2 money supply and the S&P 500 index (SPX).
This divergence can provide insights into potential market turning points, making it a valuable tool for long-term investors and traders looking to capitalize on macroeconomic trends.
How It Works:
Data Sources:
S&P 500 Index (SPX) and U.S. M2 Money Supply.
Calculating Growth Rates:
SPX Growth: The script calculates the percentage growth of the S&P 500 index by comparing the current closing price with the previous period's closing price.
M2 Growth: Similarly, it calculates the percentage growth of the U.S. M2 money supply by comparing the current value with the previous period's value.
Growth Gap/Delta:
Growth Gap: The core of the indicator is the "growth gap" or "delta," which is the difference between the M2 money supply growth and the SPX growth. This gap indicates whether liquidity in the economy (represented by M2) is outpacing or lagging behind the performance of the stock market.
Interpretation:
Positive Gap (Green Bars): When the M2 growth outpaces SPX growth, the gap is positive, indicating that there is more liquidity in the system than what is being reflected in the stock market. This scenario often signals potential upward momentum in the market, making it a good time to consider buying.
Negative Gap (Red Bars): When the SPX growth outpaces M2 growth, the gap is negative, suggesting that the market may be overextended relative to the available liquidity. This can be a warning sign of potential market corrections or downturns.
Visualization:
The indicator plots the growth gap as a histogram with bars colored based on the gap value:
Green Bars: Indicate a positive gap where M2 growth is higher than SPX growth.
Red Bars: Indicate a negative gap where SPX growth is higher than M2 growth.
The bars are thickened for better visibility, and a horizontal line at zero is plotted to help users easily distinguish between positive and negative gaps.
How To Use It:
Time Frame Selection: Users can select the desired time frame (e.g., monthly, weekly) for the data. This flexibility allows traders to analyze the indicator over different periods, depending on their investment horizon.
Monthly time frames seem to work best.
Interpreting the Indicator:
Bullish Signals: Look for sustained periods of positive growth gaps (green bars), which may indicate a favorable environment for buying or holding long positions.
Bearish Signals: Be cautious during periods of negative growth gaps (red bars), which could signal overvaluation in the market or potential pullbacks.
Enjoy and let me know if you have any questions.
itradesize /\ Overnight Session & Silver BulletOvernight Session & Silver Bullet indicator
The indicator can be divided into two separate stuff:
ONS ( Overnight Session ) based on TCM’s ( TheCurrencyMerchant ) theory and Silver Bullet based on what ICT ( InnerCircleTrader ) is teaching to us.
Overnight Session
• ONS will be always based on Chicago 4am to 8am time according to TCM’s CME teaching.
The indicator has the option to show TSO ( Today’s session only ) which is good to have the chart not messed up by it. At this time when it comes to backtesting just turn this off to have the past ONS and SB ranges showed up on your chart.
• Mid line at the ONS range is useful to have as you are able to decide wether price is in a premium or a discount under the ONS.
If Im a buyer target is above the range, if Im a seller target is below the range.
• You are also able to have SD ( Standard Deviation ) lines for price projections. In the variety of TCM’s videos you are able to have a deeper knowledge.
• You can also extend Today’s ONS lines to the very end of the chart which could make an easier looking on the levels you eyeing with.
Silver Bullet
It’s based on New York time as ICT ( Inner Circle Trader ) is always teaching to us that we should use New York time, every time when it comes to his concepts.
Silver Bullets are always be there aiming of an opposing liquidity pool. They are working even on choppy days.
Silver Bullet hours:
• 03:00 - 04:00am NY Time
• 10:00 - 11:00am NY Time
• 02:00 - 03:00pm NY Time
SB highlighted areas could be shown as a box or a range according to your taste, with or without Start/End lines.
Both of them ca be used to form trades.
You should dig yourself into Silver Bullet ( InnerCircleTrader ) and Overnight Session ( TheCurrencyMerchant ) teachings before the use of the indicator.
Simple setups
• Silver Bullet
Look 20-30 minutes before any SB where the Buy or Sell program has started.
Where the first 1m FVG ( Fair Value Gap ) appears under the range, enter the trade.
Expect only a 5 handle move as a beginner.
1m chart is a must for these kind of FVG entries. ( 30s , 15s can also be used )
• ONS
Price is trading aggressively out of the range to take liquidity.
Once price grabbed liquidity that candle on the 3-5m could considered as on order block for the further movement.
If you are trading in the range, then the opposite side can be the target, if its out of the range and trading one sided, then use standard deviations as 0.5 is a minimum target.
Liquidation Levels on OIThis indicator is used to display estimated contract liquidation prices. When there are dense liquidation areas on the chart, it indicates that there may be a lot of liquidity at that price level. The horizontal lines of different colors on the chart represent different leverage ratios. See below for details.
Let me introduce the principle behind this indicator:
1. When position trading volume increases or decreases significantly higher than usual levels in a specific candlestick chart, it indicates that a large number of contracts were opened during that period. We use the 60-day moving average change as a benchmark line. If the position trading volume changes more than 1.2x, 2x or 3x its MA60 value, it is considered small, medium or large abnormal increase or decrease.
2. This indicator takes an approximate average between high, open, low and close prices of that candlestick as opening price.
3. Since contracts involve liquidity provided by both buyers and sellers with equal amounts of long and short positions corresponding to each contract respectively; since we cannot determine actual settlement prices for contract positions; therefore this indicator estimates settlement prices instead which marks five times (5x), ten times (10x), twenty-five times (25x), fifty times (50x) and one hundred times (100x) long/short settlement prices corresponding to each candlestick chart generating liquidation lines with different colors representing different leverage levels.
4. We can view areas where dense liquidation lines appear as potential liquidation zones which will have high liquidity.
5. We can adjust orders based on predicted liquidation areas because most patterns in these areas will be quickly broken.
6. We provide a density histogram to display the liquidation density of each price range.
Special thanks to the following TradingView community members for providing open-source indicators and contributing to the development of this indicator!
Liquidation - @Mysterysauce
Open Interest Delta - By Leviathan - @LeviathanCapital
Regarding the relationship with the above-mentioned open source indicators:
1. Indicator Liquidation - @Mysterysauce can also draw a liquidation line in the chart, but:
(1) Our indicator generates a liquidation line based on abnormal changes in open interest; their indicator generates a liquidation line based on trading volume.
(2) Our indicator will generate both long and short liquidation lines at the same time; their indicator will only generate a liquidation line in a single direction.
We refer to their method of drawing liquidation lines when drawing our own.
2. Indicator Open Interest Delta - By Leviathan - @LeviathanCapital obtained OI data for Binance USDT perpetual contracts in the code. We refer to their method of obtaining OI data in our code.
============= 中文版本 =============
此指标用于显示估计合约清算价格。当图表上有密集的清算区域时，表示该价格水平可能存在大量流动性。图表上不同颜色的水平线代表不同杠杆比率。详情请参见下面的说明。
让我介绍一下这个指标背后的原理：
1. 当特定蜡烛图对应的合约仓位增加量（OI Delta）显著高于通常水平时，表示在那段时间有大量合约开仓。我们使用OI Delta的60日移动均线作为基准线。如果OI Delta超过其MA60值的1.2倍、2倍或3倍，则认为是小型、中型或大型的异常OI Delta。
2. 该指标将上述蜡烛图高、开、低和收盘价的平均值作为近似的合约开仓价。
3. 由于合约涉及买方和卖方之间相互提供流动性，每个合约对应相等数量的多头和空头头寸。由于我们无法确定合约头寸的实际清算价格，因此该指标估计了清算价格。它标记了与该蜡烛图相对应的多头和空头5倍、10倍、25倍、50倍和100倍的清算价格，生成清算线。不同杠杆水平用不同颜色表示。
4. 我们可以将出现密集清算线的区域视为潜在的清算区域。这些区域将具有高流动性。
5. 我们可以根据预测到的清算区域调整自己的订单，因为根据规律，这些清算区域大部分都会很快被击穿。
6. 我们提供了密度直方图来显示每个价格范围的清算密度
特别感谢以下TradingView社区成员提供开源指标并为该指标的开发做出贡献！
Liquidation - @Mysterysauce
Open Interest Delta - By Leviathan - @LeviathanCapital
与上述开源指标的关系：
1. 指标Liquidation - @Mysterysauce也可以在图中绘制清算线，但是：
（1）我们的指标是基于open interest的异常变化生成的清算线；他们的指标是基于成交量生成的清算线
（2）我们的指标会同时生成多头和空头清算线；他们的指标仅会在单一方向生成清算线
我们的指标在绘制清算线上参考了他们绘制清算线的方式
2. 指标Open Interest Delta - By Leviathan - @LeviathanCapital在代码中获取了Binance USDT永续合约的OI数据。我们在代码中参考他们获取OI数据的方式
Automatic Closest FVG with BPRFair Value Gaps are a hugely popular concept and because of that there are numerous indicators available. This one however, was designed to automate the process of actually using them in trading.
Designed with lower time frame entries in mind (though will work on HTF just as well), this indicator automatically draws the closest, non-mitigated FVG, to the current price, cutting out the work of looking for what FVG is relevant.
The indicator also has an option to show when the current nearest pair of FVGs form a BPR or 'balanced price range'.
There are various option for what counts as mitigation, including no mitigation at all, and when mitigated an FVG is no longer considered for proximity searching.
Mark LevelsMark Levels is marking liquidity pools by drawing lines on their pivots and labelling them so that you can instantly detect them on your realtime chart
It supports:
- marking previous and current day lows and highs
- marking previous and current week lows and highs
- marking previous and current month lows and highs
- marking equal lows and highs
technically it re-builds them on the last bar or as soon as new realtime bar is updated. it looks with 1k bars back to find higher timeframe ranges and find lows and highs there
Adjustments:
- changing the line style of the group
- changing the lines color and the labels on the groups
- currently pools are split on 2 groups Period Liquidity and Equal Pivots Liquidity.
FX Sessions (DTS)FX Sessions (DST-Safe)
This indicator highlights the four main Forex trading sessions — Sydney, Tokyo, London, and New York — using the local timezone of each market.
• DST handled automatically: Sessions shift correctly when London or New York move clocks forward/back.
• Clear visualization: Light background shading for each session, with the London–New York overlap emphasized for peak liquidity.
• Customizable: Toggle individual sessions, labels, and the on-chart legend table.
• Intraday focus: Works best on lower timeframes (1m–1h) for identifying active trading hours and volatility windows.
Use this tool to instantly spot when liquidity and volatility are likely to increase, so you know where to focus your trading.
Key Indicators Dashboard (KID)Key Indicators Dashboard (KID) — Comprehensive Market & Trend Metrics
📌 Overview
The Key Indicators Dashboard (KID) is an advanced multi-metric market analysis tool designed to consolidate essential technical, volatility, and relative performance data into a single on-chart table. Instead of switching between multiple indicators, KID centralizes these key measures, making it easier to assess a stock’s technical health, volatility state, trend status, and relative strength at a glance.
🛠 Key Features
⦿ Average Daily Range (ADR %): Measures average daily price movement over a specified period. It is calculated by averaging the daily price range (high - low) over a set number of days (default 20 days).
⦿ Average True Range (ATR): Measures volatility by calculating the average of a true range over a specific period (default 14). It helps traders gauge the typical extent of price movement, regardless of the direction.
⦿ ATR%: Expresses the Average True Range as a percentage of the price, which allows traders to compare the volatility of stocks with different prices.
⦿ Relative Strength (RS): Compares a stock’s performance to a chosen benchmark index (default NIFTYMIDSML400) over a specific period (default 50 days).
⦿ RS Score (IBD-style): A normalized 1–100 rating inspired by Investor’s Business Daily methodology.
How it works: The RS Score is based on a weighted average of price changes over 3 months (40%), 6 months (20%), 9 months (20%), and 12 months (20%).
The raw value is converted into a percentage return, then normalized over the past 252 trading days so the lowest value maps to 1 and the highest to 100.
This produces a percentile-style score that highlights the strongest stocks in relative terms.
⦿ Relative Volume (RVol): Compares a stock's current volume to its average volume over a specific period (default 50). It is calculated by dividing the current volume by the average historical volume.
⦿ Average ₹ Volume (Turnover): Represents the total monetary value of shares traded for a stock. It's calculated by multiplying a day's closing price by its volume, with the final value converted to crores for clarity. This metric is a key indicator of a stock's liquidity and overall market interest.
⦿ Moving Average Extension: Measures how far a stock's current price has moved from from a selected moving average (EMA or SMA). This deviation is normalized by the stock's volatility (ATR%), with a default threshold of 6 ATR used to indicate that the stock is significantly extended and is marked with a selected shape (default Red Flag).
⦿ 52-Weeks High & Low: Measures a stock's current price in relation to its highest and lowest prices over the past year. It calculates the percentage a stock is below its 52-week high and above its 52-week low.
⦿ Market Capitalization: Market Cap represents the total value of all outstanding.
⦿ Free Float: It is the value of shares readily available for public trading, with the Free Float Percentage showing the proportion of shares available to the public.
⦿ Trend: Uses Supertrend indicator to identify the current trend of a stock's price. A factor (default 3) and an ATR period (default 10) is used to signal whether the trend is up or down.
⦿ Minervini Trend Template (MTT): It is a set of technical criteria designed to identify stocks in strong uptrends.
Price > 50-DMA > 150-DMA > 200-DMA
200-DMA is trending up for at least 1 month
Price is at least 30% above its 52-week low.
Price is within at least 25 percent of its 52-week high
Table highlights when a stock meets all above criteria.
⦿ Sector & Industry: Display stock's sector and industry, provides categorical classification to assist sector-based analysis. The sector is a broad economic classification, while the industry is a more specific group within that sector.
⦿ Moving Averages (MAs): Plot up to four customizable Moving Averages on a chart. You can independently set the type (Simple or Exponential), the source price, and the length for each MA to help visualize a stock's underlying trend.
MA1: Default 10-EMA
MA2: Default 20-EMA
MA3: Default 50-EMA
MA4: Default 200-EMA
⦿ Moving Average (MA) Crossover: It is a trend signal that occurs when a shorter-term moving average crosses a longer-term one. This script identifies these crossover events and plots a marker on the chart to visually signal a potential change in trend direction.
User-configurable MAs (short and long).
A bullish crossover occurs when the short MA crosses above the long MA.
A bearish crossover occurs when the short MA crosses below the long MA.
⦿ Inside Bar (IB): An Inside Bar is a candlestick whose entire price range is contained within the range of the previous bar. This script identifies this pattern, which often signals consolidation, and visually marks bullish and bearish inside bars on the chart with distinct colors and labels.
⦿ Tightness: Identifies periods of low volatility and price consolidation. It compares the price range over a short lookback period (default 3) to the average daily range (ADR). When the lookback range is smaller than the ADR, the indicator plots a marker on the chart to signal consolidation.
⦿ PowerBar (Purple Dot): Identifies candles with a strong price move on high volume. By default, it plots a purple dot when a stock moves up or down by at least 5% and has a minimum volume of 500,000. More dots indicate higher volatility and liquidity.
⦿ Squeezing Range (SQ): Identifies periods of low volatility, which can often precede a significant price move. It checks if the Bollinger Bands have narrowed to a range that is smaller than the Average True Range (ATR) for a set number of consecutive bars (default 3).
(UpperBB - LowerBB) < (ATR × 2)
⦿ Mark 52-Weeks High and Low: Marks and labels a stock's 52-Week High and Low prices directly on the chart. It draws two horizontal lines extending from the candles where the highest and lowest prices occurred over the past year, providing a clear visual reference for long-term price extremes.
⏳PineScreener Filters
The indicator’s alert conditions act as filters for PineScreener.
Price Filter: Minimum and maximum price cutoffs (default ₹25 - ₹10000).
Daily Price Change Filter: Minimum and maximum daily percent change (default -5% and 5%).
🔔 Built-in Alerts
Supports alert creation for:
ADR%, ATR/ATR %, RS, RS Rating, Turnover
Moving Average Crossover (Bullish/Bearish)
Minervini Trend Template
52-Week High/Low
Inside Bars (Bullish/Bearish)
Tightness
Squeezing Range (SQ)
⚙️ Customizable Visualization
Switchable between vertical or horizontal layout.
Works in dark/light mode
User-configurable to toggle any indicator ON or OFF.
User-configurable Moving (EMA/SMA), Period/Lengths and thresholds.
⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table.
⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
