VolumeProfileLibrary "VolumeProfile"
Analyzes volume and price and calculates a volume profile, in particular the Point Of Control and Value Area values.
new(rowSizeInTicks, valueAreaCoverage, startTime)
Constructor method that creates a new Volume Profile
Parameters:
rowSizeInTicks (float) : Internal row size (aka resolution) of the volume profile. Useful for most futures contracts would be '1 / syminfo.mintick'. Default '4'.
valueAreaCoverage (int) : Percentage of total volume that is considered the Value Area. Default '70'
startTime (int) : Start time (unix timestamp in milliseconds) of the Volume Profile. Default 'time'.
Returns: VolumeProfile object
method calculatePOC(vp)
Calculates current Point Of Control of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method calculateVA(vp)
Calculates current Value Area High and Low of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method update(vp, h, l, v, t)
Processes new chart data and sorts volume into rows. Then calls calculatePOC() and calculateVA() to update the VP. Parameters are usually the output of request.security_lower_tf.
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (array) : Array of highs
l (array) : Array of lows
v (array) : Array of volumes
t (array) : Array of candle times
Returns: void
method setSessionHigh(vp, h)
Sets the high of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (float)
Returns: void
method setSessionLow(vp, l)
Sets the low of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
l (float)
Returns: void
method getPOC(vp)
Gets the current Point Of Control
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Point Of Control (float)
method getVAH(vp)
Gets the current Value Area High
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area High (float)
method getVAL(vp)
Gets the current Value Area Low
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area Low (float)
VolumeProfile
Fields:
rowSizeInTicks (series float)
valueAreaCoverage (series int)
startTime (series int)
valueAreaHigh (series float)
pointOfControl (series float)
valueAreaLow (series float)
sessionHigh (series float)
sessionLow (series float)
volumeByRow (map)
totalVolume (series float)
pocRow (series float)
pocVol (series float)
Cerca negli script per "volume profile"
Volume Footprint Voids [BigBeluga]Volume Footprint Voids is a unique tool that uses lower timeframe calculation to plot different styles of single candle POC.
This indicator is very powerful for scalping and finding very precise entry and exits, spotting potential trapped traders, and more.
Unlike many other volume profiles, this aims to plot single candle profiles as well as their own footprints.
🔶 FEATURES
The script includes the following settings:
Windows: Plotting style and calculations
Coloring modes
Display modes
lower-timeframe calculations
🔶 CALCULATION
In the image above we can see how the script calculates each level position that will serve as a calculation process to see how much volume/closes there are within the levels.
In the image above, we can have a more clear example of how we count each candle close.
We use the prior screenshot as an example, after setting each level we will use the lower-timeframe input to measure the amount of closes within the ranges.
Depending on the lot size, the box will be larger or smaller, usually the POC will always have the highest box size.
NOTE: Size is the starting point, always from the low of the candle.
To find more voids, select a closer LTF to the current one you're using.
To find fewer voids, select a timeframe away from your current one.
Due to Pine Script limitations, we are only able to plot a certain amount of footprints, and we can't plot the whole history chart.
POC will be the largest block displayed, indicating the time point of control
Gray areas are closes above the average
Black are Void or imbalance that price will fill in the future, like FVG
The image above shows an incorrect size input that will lead to bad calculations, while on the other side, a correct size input that will lead to a clear vision and better calculation.
🔶 WINDOWS
The "▲▼" Mode will display delta buyers and delta sellers coloring with voids as black.
It also offers a gradient mode for a beautier visualization
The "Total Volume" mode will display the net volume within the lot size (closes within the levels).
This is useful to spot possible highest net volume within the same highest lot size.
The "POC + Gaps" will show both POC and Gaps as the highest block while all the rest will be considered as the smaller block.
This is useful to see where the highest lot were and if there are higher or lower imbalances within the candle
The last option "Gaps" will simply display the gaps as the highest block, while the POC as the lowest block.
This is useful to have a better view of the gaps areas
🔶 EXAMPLE
This is one of the most basic examples of how this script can be used. POC at the bottom creating a strong support area as price holds and creates higher voids gap that price fills while rising.
🔶 SETTINGS
Users have full control over the script, from colors to choosing the lower-timeframe inputs to disabling the lot size.
Magnifying Glass (LTF Candles) by SiddWolf█ OVERVIEW
This indicator displays The Lower TimeFrame Candles in current chart, Like Zooming in on the Candle to see it's Lower TimeFrame Structure. It plots intrabar OHLC data inside a Label along with the volume structure of LTF candle in an eloquent format.
█ QUICK GUIDE
Just apply it to the chart, Hover the mouse on the Label and ta-da you have a Lower Timeframe OHLC candles on your screen. Move the indicator to the top and shrink it all the way up, because all the useful data is inside the label.
Inside the label: The OHLC ltf candles are pretty straightforward. Volume strength of ltf candles is shown at bottom and Volume Profile on the left. Read the Details below for more information.
In the settings, you will find the option to change the UI and can play around with Lower TimeFrame Settings.
█ DETAILS
First of all, I would like to thank the @TradingView team for providing the function to get access to the lower timeframe data. It is because of them that this magical indicator came into existence.
Magnifying Glass indicator displays a Candle's Lower TimeFrame data in Higher timeframe chart. It displays the LTF candles inside a label. It also shows the Volume structure of the lower timeframe candles. Range percentage shown at the bottom is the percentage change between high and low of the current timeframe candle. LTF candle's timeframe is also shown at the bottom on the label.
This indicator is gonna be most useful to the price action traders, which is like every profitable trader.
How this indicator works:
I didn't find any better way to display ltf candles other than labels. Labels are not build for such a complex behaviour, it's a workaround to display this important information.
It gets the lower timeframe information of the candle and uses emojis to display information. The area that is shown, is the range of the current timeframe candle. Range is a difference between high and low of the candle. Range percentage is also shown at the bottom in the label.
I've divided the range area into 20 parts because there are limitation to display data in the labels. Then the code checks out, in what area does the ltf candle body or wick lies, then displays the information using emojis.
The code uses matrix elements for each block and relies heavily on string manipulation. But what I've found most difficult, is managing to fit everything correctly and beautifully so that the view doesn't break.
Volume Structure:
Strength of the Lower TimeFrame Candles is shown at the bottom inside the label. The Higher Volume is shown with the dark shade color and Lower Volume is shown with the light shade. The volume of candles are also ranked, with 1 being the highest volume, so you can see which candle have the maximum to minimum volume. This is pretty important to make a price action analysis of the lower timeframe candles.
Inside the label on the left side you will see the volume profile. As the volume on the bottom shows the strength of each ltf candles, Volume profile on the left shows strength in a particular zone. The Darker the color, the higher the volume in the zone. The Highest volume on the left represents Point of Control (Volume Profile POC) of the candle.
Lower TimeFrame Settings:
There is a limitation for the lowest timeframe you can show for a chart, because there is only so much data you can fit inside a label. A label can show upto 20 blocks of emojis (candle blocks) per row. Magnifying Glass utilizes this behaviour of labels. 16 blocks are used to display ltf candles, 1 for volume profile and two for Open and Close Highlighter.
So for any chart timeframe, ltf candles can be 16th part of htf candle. So 4 hours chart can show as low as 15 minutes of ltf data. I didn't provide the open settings for changing the lower timeframe, as it would give errors in a lot of ways. You can change the timeframe for each chart time from the settings provided.
Limitations:
Like I mentioned earlier, this indicator is a workaround to display ltf candles inside a label. This indicator does not work well on smaller screens. So if you are not able to see the label, zoom out on your browser a bit. Move the indicator to either top or bottom of all indicators and shrink it's space because all details are inside the label.
█ How I use MAGNIFYING GLASS:
This indicator provides you an edge, on top of your existing trading strategy. How you use Magnifying Glass is entirely dependent on your strategy.
I use this indicator to get a broad picture, before getting into a trade. For example I see a Doji or Engulfing or any other famous candlestick pattern on important levels, I hover the mouse on Magnifying Glass, to look for the price action the ltf candles have been through, to make that pattern. I also use it with my "Wick Pressure" indicator, to check price action at wick zones. Whenever I see price touching important supply and demand zones, I check last few candles to read chart like a beautiful price action story.
Also volume is pretty important too. This is what makes Magnifying Glass even better than actual lower timeframe candles. The increasing volume along with up/down trend price shows upward/downward momentum. The sudden burst (peak) in the volume suggests volume climax.
Volume profile on the left can be interpreted as the strength/weakness zones inside a candle. The low volume in a price zone suggests weakness and High volume suggests strength. The Highest volume on the left act as POC for that candle.
Before making any trade, I read the structure of last three or four candles to get the complete price action picture.
█ Conclusion
Magnifying Glass is a well crafted indicator that can be used to track lower timeframe price action. This indicator gives you an edge with the Multi Timeframe Analysis, which I believe is the most important aspect of profitable trading.
~ @SiddWolf
🟡 GOLD 4H HUD v12 — Time-Safe Nuclear Edition🟡 GOLD 4H HUD v12 — Time-Safe Nuclear Edition
A full–scale Smart Money Concepts (SMC) analytics engine designed exclusively for XAUUSD on the 4-Hour timeframe.
This script combines market structure, liquidity, displacement, order blocks, imbalance, volume profile, SMT divergence, and institutional behavior modeling into a single unified HUD.
Built with a time-safe architecture, all structural elements (OB/FVG/Sweep) are stored by timestamp to minimize repainting and preserve event integrity.
📌 Core Features (12 Modules + Full HUD)
1 — Market Structure Engine
Automatically detects:
HH / HL / LH / LL
BOS (Break of Structure)
MSS (Market Structure Shift)
CHOCH (Change of Character)
Real swing pivots & trend state
2 — Sweep Engine (Liquidity Grab Detection)
Identifies institutional liquidity grabs:
Break + reclaim of highs/lows
ATR-filtered invalidation
Displacement-backed sweeps
3 — Time-Safe FVG Engine
Detects Bullish/Bearish Fair Value Gaps
ATR-tolerant FVG logic
Automatic right-extension
Auto-delete when filled or invalid
4 — Time-Safe Order Block Engine
Demand & Supply OB detection
Strength classification (Weak vs Strong)
FVG-overlap confirmation
Timestamp-locked (non-repainting)
5 — Volume Profile Engine (HVN / LVN / POC)
Real-time micro-profile:
High Volume Node (HVN)
Low Volume Node (LVN)
Point of Control (POC)
6 — SMT Engine (Gold vs DXY Divergence)
Smart Money Divergence built-in:
Bullish SMT
Bearish SMT
Directional confirmation with zero lag
7 — Displacement Engine
Measures institutional impulse:
Body-based impulse detection
Multi-leg continuation signals
FVG continuation moves
Generates displacement score
8 — Premium / Discount Model
Auto-classifies price into:
Discount (Buy zone)
Premium (Sell zone)
9 — SMC Trend Engine (Score-Based)
Combines 10+ factors:
Structure
FVG
OB power
Displacement
POC positioning
SMT conditions
Outputs:
BULL / BEAR / RANGE
Full scoring system
10 — Institutional Imbalance Model (IMB Engine)
Combines:
PD zones
Sweep direction
Displacement
SMT
OB strength
CHOCH/MSS
A complete institutional bias filter.
11 — Entry Engine (Signal Fusion Model)
Entry conditions fuse:
Sweep
CHOCH
Displacement
OB strength
FVG alignment
SMT confirmation
Also outputs:
Suggested SL/TP
Entry score
12 — Trendline Engine
Auto-draws:
HL → HL bullish trendlines
LH → LH bearish trendlines
+ Full Nuclear HUD
Displays:
Market structure
Trend direction
SMT / CHOCH / MSS
FVG / OB zones
HVN / LVN / POC
Liquidity strength
Entry model
Liquidity Magnet direction
SL/TP map
A complete institutional dashboard in one place.
⚠ Usage Requirement
This script is designed ONLY for the 4H timeframe.
✨ Summary
GOLD 4H HUD v12 — Time-Safe Nuclear Edition
is not just an indicator.
It is a full institutional-grade SMC analysis system, built specifically for Gold.
If you trade XAUUSD on the 4H timeframe —
this is your complete market intelligence HUD
Price–Volume Anomaly DetectorDescription
This indicator identifies unusual relationships between price strength and trading volume. By analyzing expected intraday volume behavior and comparing it with current activity, it highlights potential exhaustion, absorption, or expansion events that may signal changing market dynamics.
How It Works
The script profiles average volume by time of day and compares current volume against this adaptive baseline. Combined with normalized price movement (ATR-based), it detects conditions where price and volume diverge:
Exhaustion: Strong price move on low volume (potential fade)
Absorption: Weak price move on high volume (potential reversal)
Expansion: Strong price move on high volume (momentum continuation)
Key Features
Adaptive time-based volume normalization
Configurable sensitivity thresholds
Optional visibility for each anomaly type
Adjustable label transparency and offset
Light Mode support: label text automatically adjusts for dark or light chart backgrounds
Lightweight overlay design
Inputs Overview
Volume Profile Resolution: Defines time bucket size for expected volume
[* ]Lookback Days: Controls how quickly the profile adapts
Price / Volume Thresholds: Tune anomaly sensitivity
Show Expansion / Exhaustion / Absorption: Toggle specific labels
Label Transparency & Offset: Adjust chart visibility
How to Use:
Apply the indicator to any chart or timeframe.
Observe where labels appear:
🔴 Exhaustion: strong price, weak volume
🔵 Absorption: weak price, strong volume
🟢 Expansion: strong price, strong volume
Use these as context clues, not trade signals — combine with broader volume or trend analysis.
How It Helps
Reveals hidden price–volume imbalances
Highlights areas where momentum may be fading or strengthening
Enhances understanding of market behavior beyond raw price action
⚠️Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
Crypto Volume Data (VAH,POC,VAL)Crypto Volume Data (VAH, POC, VAL) — Multi-Exchange Aggregated Volume Zones
This indicator delivers a high-precision volume profile for crypto assets by aggregating real traded volume across Binance, Bybit, Coinbase, Kraken, OKX, and MEXC. It auto-detects multiple quote pairs (USD, USDT, USDC, FDUSD, USDT.P, USDC.P) and merges the live volume distribution respecting each exchange’s volume for that symbol to calculate institutional-grade VAH, POC, and VAL levels.
No matter which symbol or pair from which exchange is open on the chart, the script dynamically detects the base asset and fetches volume from all matching pairs on supported exchanges. For example, whether you load BTC/USDT, ETH/USDT.P, or SOL/FDUSD, the system identifies the symbol and aggregates volume from all relevant pairs of that symbol across all mentioned exchanges, weighting them based on real volume. This leads to significantly more accurate value areas — especially compared to single-source or single-pair profiles that miss fragmented liquidity and the real volume of each exchange.
This script is fully plug-and-play. There’s no need to select lookback windows or configure pairs — it's already optimized with pre-set internal parameters for common trading timeframes. (Still, you can adjust for your needs in the settings, but keep in mind more lookback is not necessarily a good thing — it might affect the accuracy of your output depending on the timeframe.)
Key Features:
Live aggregation of volume across 5 exchanges
Supports most listed altcoins with reliable quote pair coverage
Dynamic auto symbol/quote detection and normalization
Automatically adapts to any crypto chart without user setup
Real institutional zones — not synthetic, not heuristic
Why It Matters:
In fragmented crypto markets, liquidity isn’t centralized. Volume for a coin like ETH may be split between USDT on Binance, USD on Kraken, or USDC on MEXC. Most indicators ignore that. This tool doesn’t. It brings that volume together to provide the most contextually accurate VAH/POC/VAL levels possible, tailored to the charted asset and timeframe.
This isn't just another volume indicator. It’s built from the ground up to capture where the real trades happen — not just where price moved — and shows you the zones that institutions and large players respect.
Disclaimer:
This tool is for educational and informational purposes only. It does not constitute financial advice or an invitation to trade. Always do your own research and manage risk responsibly.
Credits:
Volume unification logic, cross-pair normalization, and exchange weighting system developed by me. No third-party libraries or reused scripts involved. Original architecture built from scratch for high-resolution crypto volume profile analysis.
Note:
Script designed to respect TradingView limits for both free and paid accounts, with a smart fallback system in case of hitting the limit. If you find any bug, error, or issue, kindly comment below. I will address and fix them ASAP.
Enjoy and cheers.
Order Flow Delta Matrix Pro @MaxMaserati 2.0Order Flow Delta Matrix Pro @MaxMaserati 2.0
Institutional-level order flow analysis
This advanced indicator displays institutional order flow data in an easy-to-read time-series matrix, revealing hidden buying and selling pressure that drives price movements.
KEY FEATURES
🔥 REAL-TIME DELTA TRACKING
- Delta Row: Net buying vs selling pressure per time period
- Live Countdown: Shows exact time remaining until next candle close
- Extended historical view for pattern recognition
CUSTOMIZABLE ROWS (Toggle On/Off)
- Max Delta: Highest buying pressure spikes (accumulation zones)
- *Min Delta: Lowest selling pressure spikes (distribution zones)
- Cumulative Delta: Running total showing institutional bias
- Delta/Volume Ratio: Quality of directional flow vs total volume
- Session Delta: Net flow since session start
- Volume: Raw transaction volume with high-volume highlighting
ADVANCED CONTROLS
- Time Direction: View oldest→newest OR newest→oldest
- 12/24 Hour Format: Choose your preferred time display
- Current Time Highlighting: Blue highlight on active time period
- Full Color Customization: Adapt to any chart theme
- Smart Sensitivity: Low/Normal/High modes for different markets
🎓 HOW TO USE IT
🟢 BULLISH SIGNALS
- Positive Delta Spikes: Look for green +500K+ delta values
- Rising Cumulative Delta: Upward trending cumulative line = institutional accumulation
- High Max Delta: Strong buying pressure at support levels
🔴 BEARISH SIGNALS
- Negative Delta Spikes: Look for red -500K+ delta values
- Falling Cumulative Delta: Downward trending cumulative = institutional distribution
- High Min Delta: Strong selling pressure at resistance levels
PRO TECHNIQUES
-Divergence Analysis: Price goes up but cumulative delta goes down = potential reversal
- Volume Confirmation: High delta + high volume = strong institutional conviction
- Session Bias: Positive session delta = bullish bias, negative = bearish bias
BEST USED FOR
- Scalping: 1-5 minute timeframes for quick institutional flow detection
- Day Trading: 15-60 minute timeframes for session bias and reversal spots
- Volume Profile: Combine with volume profile for complete order flow picture
- Futures Trading: Excellent for ES, NQ, crude oil, forex majors
PRO TIPS
1. Watch for Delta Divergences - Most reliable reversal signal
2. High Volume + High Delta = Institutional activity
3. Session Delta Direction = Overall market bias
4. Blue highlighted column= Current live data
5. Use with Support/Resistance for entry/exit timing
IMPORTANT NOTES
- Works on ALL timeframes and ALL markets
- Real-time updates for live trading decisions
- Historical data available for backtesting strategies
- No repainting - all signals are final and reliable
The matrix format makes complex data easy to interpret, giving a significant edge in understanding market dynamics and smart money order timing.
Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective.
Key Features:
1. Dynamic Channel Formation
- Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA)
- Separate upper and lower band calculations
- Customizable band offsets for precise channel adjustment
2. Volume Analysis Integration
- Multi-timeframe volume analysis (1H, 24H, 7D)
- Relative volume comparison against historical averages
- Volume trend detection with visual indicators
- Price-level volume distribution profile
3. Market Context Indicators
- RSI integration for overbought/oversold conditions
- Channel position percentage
- Volume-weighted price levels
- Breakout detection with visual signals
Usage Guidelines:
1. Channel Interpretation
- Price within channel: Normal market conditions
- Price above upper band: Potential overbought condition
- Price below lower band: Potential oversold condition
- Channel width: Indicates market volatility
2. Volume Analysis
- High relative volume (>150%): Strong market interest
- Low relative volume (<50%): Weak market interest
- Volume trend arrows: Indicate increasing/decreasing market participation
- Volume profile: Shows price levels with highest trading activity
3. Trading Signals
- Breakout arrows: Potential trend continuation
- RSI extremes: Confirmation of overbought/oversold conditions
- Volume confirmation: Validates price movements
Customization:
- Adjust MA length for different market conditions
- Modify band offsets for tighter/looser channels
- Fine-tune volume analysis parameters
- Customize visual appearance
This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MM Day Trader LevelsAs an intraday trader, there are certain key levels that I care about for short-term price action on every single chart. When I first began day trading, each morning I would painstakingly mark those key levels off on the charts I planned to trade each day. Depending on the number of charts I was watching, this would take up quite a bit of my time that I felt would have been much better spent doing other things. It also meant that those levels would often be left behind, and on later days I might be trading a symbol and get confused when a line appeared and I'd be paying attention to it only to later discover that it wasn't from prior day, but from some other day in the past when I had marked it off.
I looked all over TradingView to find indicators that did this automatically for me, and I found a lot of them. One by one I tried them, and inevitably I would always find that something was wrong with them. Often they didn't have all of the levels I wanted (so I would have to combine multiple indicators), but more often I found that the levels would be incorrect, or they would be buggy and not appear consistently, or they would not appear at the right time, or they would not work on futures! The list of problems went on and on. And the biggest issue I found was that nobody knew how to get session volume profile in an indicator.
So, over the course of a few years I figured out how to solve all of those problems and now I'm thrilled to present this free indicator for everyone like me who trades intraday and wants a clean consistent way to see the prior day levels that they care about automatically on every single chart (even futures). The levels the indicator provides are:
Yesterday High & Low
Value Area High & Low & Point of Control
Today's Open
Yesterday's Close (aka "Settlement" on futures)
Premarket High & Low (non-futures only)
Overnight High & Low (futures only)
These levels are extremely important, and I expect price to be reactive to them, so each level has a shaded background behind it so that the levels stand out against other lines you may have on your chart. I try to keep configuration as simple as possible, but there are configuration options that allow you to:
Hide any of the levels
Change the color for the levels
Shade the value area (or not)
Change the label text, size, type (basic label or plain text) and location (how far to the right of last candle to place the label
Adjust session volume profile value area volume & number of rows
The biggest advantage to this indicator over others on TradingView is how it handles session volume profile. When it comes to futures, TradingView does differentiate between regular trading hours and "electronic" trading hours on the charts, but their timeframes for those sessions are unusual, and they do not provide any programmatic way to differentiate between them. So, I created a whole new library for dealing with futures sessions that is fully integrated into both my Session Volume Profile library and this indicator, allowing me to bring you the best and only custom indicator available on TradingView that provides you with true regular session volume profile information across every type of symbol, including futures.
I'm incredibly proud of everything I've been able to provide with this indicator, and even more thrilled to say that I'm proud of how the indicator has been implemented. Once again releasing this indicator and all associated code for free and open source. I encourage you to take a look at the source code to see how it all works, take advantage of the free underlying libraries I created to make all of this possible: Session Library and Session Volume Profile Library.
Volume Positive & Negative Levels [ChartPrime]Volume Positive & Negative Levels
Overview:
The Volume Positive & Negative Levels indicator by ChartPrime is designed to provide traders with a clear visualization of volume activity across different price levels. By plotting volume levels as histograms, this tool helps identify significant areas of buying (positive volume) and selling (negative volume) pressure, enhancing the ability to spot potential support and resistance zones.
Key Features:
⯁ Lookback Period:
- The `lookbackPeriod` parameter, set to 500 bars, determines the range over which the volume analysis is conducted, ensuring a comprehensive view of the market’s volume activity. The maximum lookback period is 500 bars or the bars currently visible on the chart, whichever is smaller.
⯁ Dynamic Volume Calculation:
- Volume is calculated dynamically based on the price action, with positive volume indicating buying pressure (close > open) and negative volume indicating selling pressure (close < open).
⯁ Color Coding for Clarity:
- Positive Volume: Represented with a distinct color (`#ad9a2c`), making it easy to identify areas of buying interest.
- Negative Volume: Highlighted with another color (`#ad2cad`), simplifying the detection of selling pressure.
Volume Threshold and Bins:
- The indicator allows users to set a volume threshold (`volume_level`) to highlight significant volume levels, with the default set at 70.
- The number of bins (`numBins`) defines the granularity of the volume profile, with a higher number providing more detail.
⯁ Volume Profile Visualization:
- The volume profile is plotted as a histogram, with the height of each bar proportional to the volume at that price level. This visualization helps in quickly assessing the strength of volume at various price points.
⯁ Interactive Labels and Threshold Indicators:
- Labels: The indicator uses labels to mark significant volume levels, providing quick reference points for traders.
- Threshold Lines: Lines are drawn at specified volume thresholds, with colors and widths dynamically adjusted based on the volume levels.
⯁ User Inputs:
- Volume Threshold (`volume_level`): Sets the minimum volume required to highlight significant levels.
- Number of Bins (`numBins`): Determines the resolution of the volume profile.
- Line Width (`line_withd`): Specifies the width of the lines used in the visualization.
The Volume Positive & Negative Levels indicator is a powerful tool for traders looking to gain deeper insights into market dynamics. By providing a clear visual representation of volume activity across different price levels, it helps traders identify key support and resistance zones, spot trends, and make more informed trading decisions. Whether you are a day trader or a swing trader, this indicator enhances your ability to analyze volume data effectively, improving your overall trading strategy.
TwV Market SignalsSignals Indicator
Summary
This indicator allows traders to have in handy short and long signals and estimate the trend of the market.
The indicator draws Long and Short signals depending on the trend analysis. The indicators also use meaningful colors for traders to be able to visually understand the graphs, such us fillings on EMAs, so the possible trend is represented.
The colors used are light green for bullish, red for bearish, dark green for possible bearish to bullish change and purple for possible bullish to bearish change. These colors are applicable to all fillings and summary box.
How to use this indicator
The use of EMAs 10,20 and 50 draw the medium to long term trends, therefore avoiding signals against the trend. Furthermore the EMAs will advise possible change in trends, specially considering the 10 and 20 cross, considering that crossing the 10,20 and 50, might confirm the change in med to long term trend change of the price. This is completely visual in the chart as it tints green for positive trend and yellow to red for negative trend.
The 200 SMA is included as it also gives better confirmation to the trend, the basics tell that when the EMAs mentioned above are below the 200 SMA then the likelihood for entries in long positions are not the best and vice versa for short.
Therefore, the trader shall filter Long and Short Signals accordingly as this EMAs are not used to send Long and Short signals considering that they confirm the trend in a slow pace and not reactively to the price volatility.
There are two strategies built-in within the indicator:
Strategy 1 – Longer time trades and high volatility handling
The Long and Short Signals are based on 14 and EMAs (by default). This two Mas are used to send signals based on their crossovers as they are way more reactive to the price movement.
Trader shall consider that EMAs are used for higher timeframes, therefore the indicator has the possibility to adjust the EMAs and use SMAs or WMAs instead for one or the two parameters (14 and 21).
WMAs react faster to the price volatility so the trader shall adjust this according to the timeframe being used. (Lower timeframes suggested).
This strategy is used for trades that might keep running for longer periods of times.
For reference on what the SMAs, EMAs and WMAs are, please see below sections in the description.
Strategy 2 - Shorter time trades and unhandled high volatility
The Long and Short Signals are bases on HMA. HMAs (Hull Moving Averages) track the price movement and volatility way faster that SMAs, EMAs and WMAs, therefore as the HMA follow the price quicker, it is intended for short time trades even in higher timeframes.
Scalping is not suggested using this strategy as HMA do not handle high volatility even on higher timeframes.
One of the biggest differences from the first strategy is that there is no more than a single HMA length to work with, which is 24 as default.
HMAs calculation is different to other MAs, therefore combining various HMAs lengths looking for crossovers become trend identification a lot less precise. HMAs are not intended to be used with different length crossovers.
Exit points = The use of Stochastic and VRVP
Stochastic RSI
It is well known that when Stochastic RSI resets when overbought or oversold therefore traders have within a summary box the possibility to check whether the K & D lines in the Stochastic RSI hace crossed over bullish or bearish.
Although the crossover is not mandatory for a change trend, the crossover might be used by the trader to exit a position considering that the price might move on the opposite direction.
Traders shall look at the summary box, where bullish and bearish crossovers are shown, so they evaluate their position exit.
Visible Range Volume Profile
The use of the VRVP is to find support and resistance on the price movements. Although high and lows are used as possible supports and resistances, VRVP shows an area of confluence on the order book, where volume of positions are accumulated and that might act as support or resistance depending on the price direction.
Traders can visually activate the VRVP to see the Point of Control (POC) directly on the chart as a line (similar as how a support or resistance would be drawn). Moreover, traders have the ability to see within the summary box, whether to see if the price is above or below the POC, so they clearly know if it is acting as support or resistance.
Price Direction
Trade the market trend is well know to be used to identify possible price direction. It is important not to confuse the longer time trend drawn by the EMAs with the TTM Trend bar color. The TTM trend colors bars according to the price direction, helping traders not to confuse when a red bar appears on an up trend or green bars on a down trend.
This coloring helps traders not to exit trades based on bar coloring, which might psychologically affect when scalping or short-term trading specially.
Originally, the TTM trend is used considering the ADX in and indicator called TTM Squeeze, where the strength of the movement is measured, therefore although candle colors help with the price direction, ADX provides the trader the ability to see whether the direction is losing momentum and then catch the best possible exit before the direction change.
How to use Summary
1. Receive the Long or Short Signals using strategy 1 or 2, depending on the selected in the main menu of the indicator.
2. Evaluate the trend based on the 10,20, 50 and 200 MAs. Filter the Long and Short signals accordingly.
3. Monitor constantly the TTM Trend and the ADX for the direction and strength of the position entered and review if the momentum is being lost, considering step 4 or other possible reasons that might lead to exiting the position.
4. Once entered to a position evaluate constantly the Stochastic RSI bearish or bullish crossover or POC value on screen or summary box to exit the position.
Terminology basics
Trend indicators
Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 10, 20 and 55 exponential periods, to determine a possible bullish or bearish trend (EMA Crossing)
Simple Moving Average (SMA): The base indicator is composed of a moving average of 200 simple periods, which in conjunction with the EMAs can lead to estimate potential upward or downwards moves, as well as possible resistances. (SMA Positioning)
Weighted moving average (WMA): It is a technical indicator that traders use to generate trade direction and make a long or short position. It assigns greater weighting to recent data points and less weighting on past data points. (WMA Crossing)
Strength and S/R indicators
VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance. The POC level is represented with a red dotted line in the graph.
The VPVR is a simplified version of the “TwV Multi-timeframe Dynamic VRVP” that you can find for free use in my profile. This version calculates the main’s timeframe POC and also has the possibility to be fixed range if the trader enables it from the menu. (Dynamic range by default).
ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend strength. This is represented as summary text in a table.
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Exit indicator
Stochastic RSI: It is an indicator used in technical analysis that ranges between zero and a hundred and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold (Exit zones)
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Summary Panel
This panel allows the trader to have a summary of the current status (bearish or bullish) of some of the most determinant indicators within the strategy. It has the following characteristics:
It is placed on the right bottom side of the chart by the default. Traders can change its position or hidden it through the main menu of the indicator.
Its colors change according to the indicator’s values and constant change for easier detection.
The summary box shows the projection for each of the indicators (Trend, Stochastic, EMA, VPVR and ADX).
The summary box is multi-language (English and Spanish), which can be changes in the main menu of the indicator
Alerts
Within the indicator’s menu, you can set up alerts for all long, short, close long and close short signals, which might come in handy when the trader would like to have notifications on the Trading View website, desktop app or phone apps. Furthermore, there are also signals for possible exit points, which can also be activated from the indicator’s menu.
VP and POCThis code is credited to juliangonzaconde. Have taken his help to modify his beautiful creation.
Volume profile is a key study when comes to understanding the auction trading process. Volume Profiles will show you exactly how much volume, as well as relative volume, occurred at each price as well as the exact number of contracts for the entire session. It is a visualization tool to understand the high activity zone and low activity zone.
Volume profile measures the confidence of the traders in the market. From short term trading perspective monitoring the developing volume profile in realtime make more sense to track current market participation behavior to take better trading decisions.
Hope this helps you in trading on daily timeframe.
Happy Trading.
AMT Structure: 80% Traverse, PD Levels & nPOCsHere is a clean, professional description formatted for the TradingView description box. It highlights the methodology (AMT/80% Rule), the specific features, and the credits.
Title: AMT Structure: 80% Traverse, PD Levels & nPOCs
Description:
This indicator is a comprehensive toolkit designed for futures traders utilizing Auction Market Theory (AMT) and Volume Profile strategies. It consolidates multiple scripts into a single, unified overlay to declutter your chart while providing essential structural references for the 80% Traverse setup, intraday context, and longer-term auction targets.
Key Features:
1. 80% Rule / Traverse Setup (Chart Champions Logic)
Automated RTH Open Detection: Hardcoded to the 08:30 AM CT Open to ensure accuracy for US Futures (ES/NQ) regardless of your chart's timezone settings.
Value Area Logic: Automatically calculates the Previous Day's Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC).
Setup Detection: If the market opens outside of the previous day's value, the script highlights the Value Area in color (default: Purple), signaling that an 80% traverse (filling the value area) is structurally possible if price re-enters value.
Background Fill: Optional shading between VAH and VAL to clearly visualize the "playing field" for the traverse.
2. Auction Market Theory (AMT) Premarket Levels
Overnight High/Low: Automatically captures the highest and lowest prices traded during the overnight session (17:00 - 08:30 CT).
Breakout Alerts: Includes logic to detect and alert when these overnight levels are broken during the RTH session.
Auto-Cleanup: Lines can be set to auto-delete after a specified time (default: 60 mins into the session) to keep the chart clean after the Initial Balance (IB) period.
3. Structural Reference Levels
Previous Day Levels: Plots Previous Day High, Low, and Equilibrium (Midpoint) as standard reference lines.
Initial Balance (IB): Option to display the First Hour High and Low (08:30 - 09:30 CT) to assess day type (Neutral, Trend, Normal Variation, etc.).
RTH VWAP: An anchored VWAP that resets specifically at the RTH Open (08:30 CT), distinct from the standard 24-hour VWAP.
4. Naked Points of Control (nPOCs)
Multi-Timeframe Tracking: Tracks and plots Naked POCs for Daily, Weekly, and Monthly profiles.
Auto-Cleanup: Lines automatically delete themselves the moment price touches them, ensuring you only see untested levels.
Customization: Toggle each timeframe on/off individually.
Settings & Customization:
Global Offset: Move all text labels to the right with a single setting to prevent price action from obscuring text.
8:30 Open Offset: Independent offset for the Open label to distinguish it from other opening references.
Smart Coloring: Text labels automatically match their corresponding line colors for easy identification.
Modular Toggles: Every section (AMT, VWAP, PD Levels, CCV, nPOCs) can be turned on or off individually to suit your specific trading plan.
Usage: This tool is specifically tuned for ES and NQ futures trading but can be adapted for other instruments. It replaces the need for separate indicators for Overnight Highs/Lows, Previous Day Levels, and Volume Profile targeting.
Simulateur Carnet d'Ordres & Liquidité [Sese] - Custom🔹 Indicator Name
Order Book & Liquidity Simulator - Custom
🔹 Concept and Functionality
This indicator is a technical analysis tool designed to visually simulate market depth (Order Book) and potential liquidity zones.
It is important to adhere to TradingView's transparency rules: This script does not access real Level 2 data (the actual exchange order book). Instead, it uses a deductive algorithm based on historical Price Action to estimate where Buy Limit (Bid) and Sell Limit (Ask) orders might be resting.
Methodology used by the script:
Pivot Detection: The indicator scans for significant Swing Highs and Swing Lows over a user-defined lookback period (Length).
Level Projection: These pivots are projected to the right as horizontal lines.
Red Lines (Ask): Represent potential resistance zones (sellers).
Blue Lines (Bid): Represent potential support zones (buyers).
Liquidity Management (Absorption): The script is dynamic. If the current price crosses a line, the indicator assumes the liquidity at that level has been consumed (orders filled). The line is then automatically deleted from the chart.
Density Profile (Right Side): Horizontal bars appear to the right of the current price. These approximate a "Time Price Opportunity" or Volume Profile, showing where the market has spent the most time recently.
🔹 User Manual (Settings)
Here is how to configure the inputs to match your trading style:
1. Detection Algorithm
Lookback Length (Candles): Determines the sensitivity of the pivots.
Low value (e.g., 10): Shows many lines (scalping/short term).
High value (e.g., 50): Shows only major structural levels (swing trading).
Volume Factor: (Technical note: In this specific code version, this variable is calculated but the lines are primarily drawn based on geometric pivots).
2. Visual Settings
Show Price Lines (Bid/Ask): Toggles the horizontal Support/Resistance lines on or off.
Show Volume Profile: Toggles the heatmap-style bars on the right side of the chart.
Extend Lines: If checked, untouched lines will extend to the right towards the current price bar.
3. Colors and Transparency Management
Customize the aesthetics to keep your chart clean:
Bid / Ask Colors: Choose your base colors (Default is Blue and Red).
Line Transparency (%): Crucial for chart visibility.
0% = Solid, bright colors.
80-90% = Very subtle, faint lines (recommended if you overlay this on other tools).
Text Size: Adjusts the size of the price labels ("BUY LIMIT" / "SELL LIMIT").
🔹 How to Read the Indicator
Rejections: Unbroken lines act as potential walls. Watch for price reaction when approaching a blue line (support) or red line (resistance).
Breakouts/Absorption: When a line disappears, it means the level has been breached. The market may then seek the next liquidity level (the next line).
Density (Right-side boxes): More opaque/visible boxes indicate a price zone "accepted" by the market (consolidation). Empty gaps suggest an imbalance where price might move through quickly.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only. It is a simulation based on price history, not real-time order book data. Past performance is not indicative of future results. Trading involves risk.
MRC Supply & Demand Zones by rnd🚀 MRC Supply & Demand Zones: Professional Reversal & Liquidity Detection
MRC Supply & Demand Zones is a premium hybrid trading tool combining two of the most powerful concepts in technical analysis: Mean Reversion and Volume Profile.
This indicator doesn’t just show arrows — it provides deep market context by defining dynamic volatility channels and hidden supply & demand zones based on real volume data from lower timeframes.
🔥 Key Features
1. MRC (Mean Reversion Channel)
At the core lies the SuperSmoother MA (SSMA) — a next-generation moving average that eliminates market noise significantly more effectively than standard SMAs or EMAs, while maintaining minimal lag.
Logic: Price always tends to return to its mean. The indicator constructs dynamic channels (Inner and Outer) around the SSMA based on volatility (True Range).
Signals:
Long (Buy): Price extends beyond the lower outer boundary (oversold) and closes back above it.
Short (Sell): Price extends beyond the upper outer boundary (overbought) and closes back below it.
2. Supply & Demand Zones
This is not just drawing levels based on simple highs and lows. The indicator utilizes Lower Timeframe (LTF) Data to construct a detailed volume profile inside the candles.
How it works: The algorithm scans history, identifies volume imbalances, and highlights zones where major players have shown significant interest.
Visualization: Automatically draws red (Supply) and blue (Demand) rectangles that act as price magnets and strong support/resistance levels.
⚙️ Settings Guide
🔹 Block: MRC Settings (Channel Settings)
Control signal sensitivity and channel width here.
Min Range %:
What: Sets the minimum channel width as a percentage of the current price.
Why: Prevents the channel from squeezing into a "thin line" during flat markets, filtering out false signals during low volatility.
Outer Multiplier:
Default: 1.9
Role: Defines the boundaries for "extreme" overbought/oversold conditions. Higher values result in fewer, but more accurate entry signals.
Inner Multiplier:
Default: 1.0
Role: Defines the boundaries of "normal" price oscillation. Often used as the first target for taking profits (Take Profit).
SSMA Length:
Default: 200
Role: The period of the main trend line. 200 is ideal for defining the long-term trend and the global "center" of price.
Source:
Default: hlc3 (High+Low+Close / 3).
Role: The price data used for calculations.
🔹 Block: Supply & Demand Zones
Controls the liquidity search algorithm.
Supply & Demand Zones (On/Off): Toggle the display of the rectangular zones.
Threshold %: Defines how "significant" the volume must be. Adjusts the filtering of weak zones.
Supply/Demand Zones Color: Select the color and opacity for seller and buyer zones.
Profile Lookback Range:
Fixed Range: Analyzes a fixed number of recent bars.
Visible Range: Analyzes only the bars currently visible on the screen.
Lookback Length: The depth of history (number of bars) for volume analysis (works in Fixed Range mode).
Profile Number of Rows: Profile resolution. Higher numbers result in more detailed and narrower zones.
🔔 Alert System
You will never miss an entry. The indicator includes built-in conditions for creating alerts:
Long Signal: Triggers on a green triangle (upward reversal from the lower boundary).
Short Signal: Triggers on a red triangle (downward reversal from the upper boundary).
💡 Why use this indicator?
This is a ready-made "all-in-one" trading strategy. You get the trend (SSMA), volatility (MRC), and liquidity levels (S&D) in one compact script. It is perfect for scalping and day trading on any asset (Crypto, Forex, Stocks).
Volume Area 80 Rule Pro - Adaptive RTHSummary in one paragraph
Adaptive value area 80 percent rule for index futures large cap equities liquid crypto and major FX on intraday timeframes. It focuses activity only when multiple context gates align. It is original because the classic prior day value area traverse is fused with a daily regime classifier that remaps the operating parameters in real time.
Scope and intent
• Markets. ES NQ SPY QQQ large cap equities BTC ETH major FX pairs and other liquid RTH instruments
• Timeframes. One minute to one hour with daily regime context
• Default demo used in the publication. ES1 on five minutes
• Purpose. Trade only the balanced days where the 80 percent traverse has edge while standing aside or tightening rules during trend or shock
Originality and usefulness
• Unique fusion. Prior day value area logic plus a rolling daily regime classifier using percentile ranks of realized volatility and ADX. The regime remaps hold time end of window stop buffer and value area coverage on each session
• Failure mode addressed. False starts during strong trend or shock sessions and weak traverses during quiet grind
• Testability. All gates are visible in Inputs and debug flags can be plotted so users can verify why a suggestion appears
• Portable yardstick. The regime uses ATR divided by close and ADX percent ranks which behave consistently across symbols
Method overview in plain language
The script builds the prior session profile during regular trading hours. At the first regular bar it freezes yesterday value area low value area high and point of control. It then evaluates the current session open location the first thirty minute volume rank the open gap rank and an opening drive test. In parallel a daily series classifies context into Calm Balance Trend or Shock from rolling percentile ranks of realized volatility and ADX. The classifier scales the rules. Calm uses longer holds and a slightly wider value area. Trend and Shock shorten the window reduce holds and enlarge stop buffers.
Base measures
• Range basis. True Range smoothed over a configurable length on both the daily and intraday series
• Return basis. Not required. ATR over close is the unit for regime strength
Components
• Prior Value Area Engine. Builds yesterday value area low value area high and point of control from a binned volume profile with automatic TPO fallback and minimum integrity guards
• Opening Location. Detects whether the session opens above the prior value area or below it
• Inside Hold Counter. Counts consecutive bars that hold inside the value area after a re entry
• Volume Gate. Percentile of the first thirty minutes volume over a rolling sample
• Gap Gate. Percentile rank of the regular session open gap over a rolling sample
• Drive Gate. Opening drive check using a multiple of intraday ATR
• Regime Classifier. Percentile ranks of daily ATR over close and daily ADX classify Calm Balance Trend Shock and remap parameters
• Session windows optional. Windows follow the chart exchange time
Fusion rule
Minimum satisfied gates approach. A re entry must hold inside the value area for a regime scaled number of bars while the volume gap and drive gates allow the setup. The regime simultaneously scales value area coverage end minute time stop and stop buffer.
Signal rule
• Long suggestion appears when price opens below yesterday value area then re enters and holds for the required bars while all gates allow the setup
• Short suggestion appears when price opens above yesterday value area then re enters and holds for the required bars while all gates allow the setup
• WAIT shows implicitly when any required gate is missing
• Exit labels mark target touch stop touch or a time based close
Inputs with guidance
Setup
• Signal timeframe. Uses the chart by default
• Session windows optional. Start and end minutes inside regular trading hours
• Invert direction is not used. The logic is symmetric
Logic
• Hold bars inside value area. Typical range 3 to 12. Raising it reduces trades and favors better traverses. Lowering it increases frequency and risk of false starts
• Earliest minute since RTH open and Latest minute since RTH open. Typical range 0 to 390. Reducing the latest minute cuts late session trades
• Time stop bars after entry. Typical range 6 to 30. Larger values give setups more room
Filters
• Value area coverage. Typical range 0.70 to 0.85. Higher coverage narrows the traverse but accepts fewer days
• Bin size in ticks. Typical range 1 to 8. Larger bins stabilize noisy profiles
• Stop buffer ticks beyond edge. Typical range 2 to 20. Larger buffers survive noise
• First thirty minute volume percentile. Typical range 0.30 to 0.70. Higher values require more active opens
• Gap filter percentile. Typical range 0.70 to 0.95. Lower values block more gap days
• Opening drive multiple and bars. Higher multiple or longer bars block strong directional opens
Adaptivity
• Lookback days for regime ranks. Typical 150 to 500
• Calm RV percentile. Typical 25 to 45
• Trend ADX percentile. Typical 55 to 75
• Shock RV percentile. Typical 75 to 90
• End minute ratio in Trend and Shock. Typical 0.5 to 0.8
• Hold and Time stop scales per regime. Use values near one to keep behavior close to static settings
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Sessions use the chart exchange time
Honest limitations and failure modes
• Economic releases and thin liquidity can break the balance premise
• Gap heavy symbols may work better with stronger gap filters and a True Range focus
• Very quiet regimes reduce signal contrast. Consider longer windows or higher thresholds
Legal
Education and research only. Not investment advice. Test in simulation before any live use.
X rVPoCOverview
The rVPoC indicator isolates and displays the Volume Point of Control — the price level within a chosen lookback window that has accumulated the highest traded volume.
Unlike typical volume profiles that analyze an entire session or day, this version is designed for rolling intraday precision. It continually updates the VPoC using data from a lower “zoomed-in” timeframe (e.g., 1-minute) to refine accuracy, even when viewed on higher-timeframe charts.
How It Works
At its core, the indicator “zooms in” via Pine Script’s multi-timeframe engine:
Lower timeframe aggregation:
A secondary (zoomed) timeframe — by default 1-minute — is used to pull detailed OHLCV data through request.security().
Rolling window analysis:
The user-defined bars_per_current parameter determines how many of those lower-timeframe bars to include (e.g., 15 → a 15-minute rolling window).
Volume binning:
The high-to-low range of that window is divided into evenly spaced price bins (vp_price_levels). Each bin accumulates the volume of trades overlapping its range.
Point of Control selection:
The bin with the greatest accumulated volume is located, and its volume-weighted midpoint is plotted as the VPoC.
Visual output:
Discrete line-break markers are plotted for each bar, preventing the “connecting line” distortions common in continuous plots.
Use Case
This indicator is ideal for intraday traders who want to:
Track how the most active traded price shifts over time.
Identify short-term value zones forming within a 15-minute (or custom) rolling range.
Observe micro-structure behavior during developing sessions without committing to full volume profile tools.
Overlay a lightweight VPoC on top of other tools such as open-range or VWAP-based frameworks.
It is particularly effective on 1-minute and 5-minute charts, providing a granular yet efficient measure of volume concentration that updates bar-by-bar.
Summary
The VPoC indicator delivers a continuously updating micro-profile of where trading volume is most active within a chosen intraday window.
It’s designed to complement range, VWAP, and order-flow analysis by highlighting evolving value zones without visual clutter or session-anchoring logic.
Traders can interpret shifts in the VPoC as changes in short-term control — where buyers or sellers are concentrating their activity within the evolving price structure.
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Volume Footprint POC for Every CandleCalculating and plotting the Point of Control (POC) for every candle on a volume footprint chart can provide valuable insights for traders. Here are some interpretations and uses of this information:
1. Identify Key Price Levels
Highest Traded Volume: The POC represents the price level with the highest traded volume for each candle. This level often acts as a significant support or resistance level.
Confluence Zones: When multiple POCs align at similar price levels over several candles, it indicates strong support or resistance zones.
2. Gauge Market Sentiment
Buyer and Seller Activity: High volume at certain price levels can indicate where buyers and sellers are most active. A rising POC suggests stronger buying activity, while a falling POC suggests stronger selling activity.
Volume Profile: Analyzing the volume profile helps in understanding the distribution of traded volume across different price levels, providing insights into market sentiment and potential reversals.
3. Spot Trends and Reversals
Trend Continuation: Consistent upward or downward shifts in POC levels can indicate a trend continuation. Traders can use this information to stay in trending positions.
Reversal Signals: A sudden change in the POC direction may signal a potential reversal. This can be used to take profits or enter new positions.
4. Intraday Trading Strategies
Short-Term Trading: Intraday traders can use the POC to make informed decisions on entry and exit points. For example, buying near the POC during an uptrend or selling near the POC during a downtrend.
Scalping Opportunities: High-frequency traders can use shifts in the POC to scalp small profits from price movements around these key levels.
5. Volume-Based Indicators
Confirmation of Other Indicators: The POC can be used in conjunction with other technical indicators (e.g., moving averages, RSI) to confirm signals and improve trading accuracy.
Support and Resistance: Combining the POC with traditional support and resistance levels can provide a more comprehensive view of the market dynamics.
In summary, the Point of Control (POC) is a valuable tool for traders to understand market behavior, identify key levels, and make more informed trading decisions. If you have specific questions or need further details on how to use this information in your trading strategy, feel free to ask! 😊
Hybrid Profile [DW]This is an experimental study inspired by J. Peter Steidlmayer's Market Profile tool with an alternative set of calculations for analyzing price action and distribution over a defined interval.
This tool is geared toward finding price reactive points for better entry and exit positions.
In this script, price range over a user defined interval (up to 4000 bars) is divided into 50 sections, then TPOs are counted for each section to generate the distribution histogram. Histogram lines are calculated in real time, and recalculate on each new bar.
Areas of significance are displayed as purple lines in the histogram, making it incredibly simple to identify levels that price will likely react to. The significance sensitivity can be manually adjusted for desired output.
Rather than using POC, I created a series of proprietary calculations to generate what I call the Point Of Focus (POF). This line is similar to POC, but does not always follow the highest count in the distribution.
The POF is designed to experience less whipsaws than POC, which makes trading using the POF much simpler since its value is more consistent. On historical data, price has shown to either revert to or launch from the POF rather frequently.
Unlike a conventional Market Profile, this profile doesn't have a "value area". Instead it has a Mean Value Zone, which is calculated using a series of custom VWAP calculations. The output is similar to VA, but much smoother.
This script has a built in tick volume substitution for charts with no real volume data, making all elements of the script compatible with any cryptocurrency, stock, currency pair, or index you want to analyze.
A bar color scheme is included within this script which can be used to help determine dominant trend and local extremes of the interval.
This tool is not necessarily better or worse than the classic Market Profile, nor is it a replacement for Volume Profile.
However, this is a powerful alternative that can both simplify and improve your technical analysis.
SigmaKernel - AdaptiveSigmaKernel - Adaptive Self-Optimizing Multi-Factor Trading System
SigmaKernel - Adaptive is a self-learning algorithmic trading strategy that combines four distinct analytical dimensions—momentum, market structure, volume flow, and reversal patterns—within a machine-learning-inspired framework that continuously adjusts its own parameters based on realized trading performance. Unlike traditional fixed-parameter strategies that maintain static weightings regardless of market conditions or results, this system implements a feedback loop that tracks which signal types, directional biases, and market conditions produce profitable outcomes, then mathematically adjusts component weightings, minimum score thresholds, position sizing multipliers, and trade spacing requirements to optimize future performance.
The strategy is designed for futures traders operating on prop firm accounts or live capital, incorporating realistic execution mechanics including configurable entry modes (stop breakout orders, limit pullback entries, or market-on-open), commission structures calibrated to retail futures contracts ($0.62 per contract default), one-tick slippage modeling, and professional risk controls including trailing drawdown guards, daily loss limits, and weekly profit targets. The system features universal futures compatibility—it automatically detects and adapts to any futures contract by reading the instrument's tick size and point value directly from the chart, eliminating the need for manual configuration across different markets.
What Makes This Approach Different
Adaptive Weight Optimization System
The core differentiation is the adaptive learning architecture. The strategy maintains four independent scoring components: momentum analysis (using RSI multi-timeframe, MACD histogram, and DMI/ADX), market structure detection (breakout identification via pivot-based support/resistance and moving average positioning), volume flow analysis (Volume Price Trend indicator with standard deviation confirmation), and reversal pattern recognition (oversold/overbought conditions combined with structural levels).
Each component generates a directional score that is multiplied by its current weight. After every closed trade, the system performs a retrospective analysis on the last N trades (configurable Learning Period, default 15 trades) to calculate win rates for each signal type independently. For example, if momentum-driven trades won 65% of the time while reversal trades won only 35%, the adaptive algorithm increases the momentum weight and decreases the reversal weight proportionally. The adjustment formula is:
New_Weight = Current_Weight + (Component_Win_Rate - Average_Win_Rate) × Adaptation_Speed
This creates a self-correcting mechanism where successful signal generators receive more influence in future composite scores, while underperforming components are de-emphasized. The system separately tracks long versus short win rates and applies directional bias corrections—if shorts consistently outperform longs, the strategy applies a 10% reduction to bullish signals to prevent fighting the prevailing market character.
Dynamic Parameter Adjustment
Beyond component weightings, three critical strategy parameters self-adjust based on performance:
Minimum Signal Score: The threshold required to trigger a trade. If overall win rate falls below 45%, the system increments this threshold by 0.10 per adjustment cycle, making the strategy more selective. If win rate exceeds 60%, the threshold decreases to allow more opportunities. This prevents the strategy from overtrading during unfavorable conditions and capitalizes on high-probability environments.
Risk Multiplier: Controls position sizing aggression. When drawdown exceeds 5%, risk per trade reduces by 10% per cycle. When drawdown falls below 2%, risk increases by 5% per cycle. This implements the professional risk management principle of "bet small when losing, bet bigger when winning" algorithmically.
Bars Between Trades: Spacing filter to prevent overtrading. Base value (default 9 bars) multiplies by drawdown factor and losing streak factor. During drawdown or consecutive losses, spacing expands up to 2x to allow market conditions to change before re-entering.
All adaptation operates during live forward-testing or real trading—there is no in-sample optimization applied to historical data. The system learns solely from its own realized trades.
Universal Futures Compatibility
The strategy implements universal futures instrument detection that automatically adapts to any futures contract without requiring manual configuration. Instead of hardcoding specific contract specifications, the system reads three critical values directly from TradingView's symbol information:
Tick Size Detection: Uses `syminfo.mintick` to obtain the minimum price increment for the current instrument. This value varies widely across markets—ES trades in 0.25 ticks, crude oil (CL) in 0.01 ticks, gold (GC) in 0.10 ticks, and treasury futures (ZB) in increments of 1/32nds. The strategy adapts all entry buffer calculations and stop placement logic to the detected tick size.
Point Value Detection: Uses `syminfo.pointvalue` to determine the dollar value per full point of price movement. For ES, one point equals $50; for crude oil, one point equals $1,000; for gold, one point equals $100. This automatic detection ensures accurate P&L calculations and risk-per-contract measurements across all instruments.
Tick Value Calculation: Combines tick size and point value to compute dollar value per tick: Tick_Value = Tick_Size × Point_Value. This derived value drives all position sizing calculations, ensuring the risk management system correctly accounts for each instrument's economic characteristics.
This universal approach means the strategy functions identically on emini indices (ES, MES, NQ, MNQ), micro indices, energy contracts (CL, NG, RB), metals (GC, SI, HG), agricultural futures (ZC, ZS, ZW), treasury futures (ZB, ZN, ZF), currency futures (6E, 6J, 6B), and any other futures contract available on TradingView. No parameter adjustments or instrument-specific branches exist in the code—the adaptation happens automatically through symbol information queries.
Stop-Out Rate Monitoring System
The strategy includes an intelligent stop-out rate tracking system that monitors the percentage of your last 20 trades (or available trades if fewer than 20) that were stopped out. This metric appears in the dashboard's Performance section with color-coded guidance:
Green (<30% stop-out rate): Very few trades are being stopped out. This suggests either your stops are too loose (giving back profits on reversals) or you're in an exceptional trending market. Consider tightening your Stop Loss ATR multiplier to lock in profits more efficiently.
Orange (30-65% stop-out rate): Healthy range. Your stop placement is appropriately sized for current market conditions and the strategy's risk-reward profile. No adjustment needed.
Red (>65% stop-out rate): Too many trades are being stopped out prematurely. Your stops are likely too tight for the current volatility regime. Consider widening your Stop Loss ATR multiplier to give trades more room to develop.
Critical Design Philosophy: Unlike some systems that automatically adjust stops based on performance statistics, this strategy intentionally keeps stop-loss control in the user's hands. Automatic stop adjustment creates dangerous feedback loops—widening stops increases risk per contract, which forces position size reduction, which distorts performance metrics, leading to incorrect adaptations. Instead, the dashboard provides visibility into stop performance, empowering you to make informed manual adjustments when warranted. This preserves the integrity of the adaptive system while giving you the critical data needed for stop optimization.
Execution Kernel Architecture
The entry system offers three distinct execution modes to match trader preference and market character:
StopBreakout Mode: Places buy-stop orders above the prior bar's high (for longs) or sell-stop orders below the prior bar's low (for shorts), plus a 2-tick buffer. This ensures entries only occur when price confirms directional momentum by breaking recent structure. Ideal for trending and momentum-driven markets.
LimitPullback Mode: Places limit orders at a pullback price calculated as: Entry_Price = Close - (ATR × Pullback_Multiplier) for longs, or Close + (ATR × Pullback_Multiplier) for shorts. Default multiplier is 0.5 ATR. This waits for mean-reversion before entering in the signal direction, capturing better prices in volatile or oscillating markets.
MarketNextOpen Mode: Executes at market on the bar immediately following signal generation. This provides fastest execution but sacrifices the filtering effect of requiring price confirmation.
All pending entry orders include a configurable Time-To-Live (TTL, default 6 bars). If an order is not filled within the TTL period, it cancels automatically to prevent stale signals from executing in changed market conditions.
Professional Exit Management
The exit system implements a three-stage progression: initial stop loss, breakeven adjustment, and dynamic trailing stop.
Initial Stop Loss: Calculated as entry price ± (ATR × User_Stop_Multiplier × Volatility_Adjustment). Users have direct control via the Stop Loss ATR multiplier (default 1.25). The system then applies volatility regime adjustments: ×1.2 in high-volatility environments (stops automatically widen), ×0.8 in low volatility (stops tighten), ×1.0 in normal conditions. This ensures stops adapt to market character while maintaining user control over baseline risk tolerance.
Breakeven Trigger: When profit reaches a configurable multiple of initial risk (default 1.0R), the stop loss automatically moves to breakeven (entry price). This locks in zero-loss status once the trade demonstrates favorable movement.
Trailing Stop Activation: When profit reaches the Trail_Trigger_R multiple (default 1.2R), the system cancels the fixed stop and activates a dynamic trailing stop. The trail uses Step and Offset parameters defined in R-multiples. For example, with Trail_Offset_R = 1.0 and Trail_Step_R = 1.5, the stop trails 1.0R behind price and moves in 1.5R increments. This captures extended moves while protecting accumulated profit.
Additional failsafes include maximum time-in-trade (exits after N bars if specified) and end-of-session flatten (automatically closes all positions X minutes before session end to avoid overnight exposure).
Core Calculation Methodology
Signal Component Scoring
Momentum Component:
- Calculates 14-period DMI (Directional Movement Index) with ADX strength filter (trending when ADX > 25)
- Computes three RSI timeframes: fast (7-period), medium (14-period), slow (21-period)
- Analyzes MACD (12/26/9) histogram for directional acceleration
- Bullish momentum: uptrend (DI+ > DI- with ADX > 25) + MACD histogram rising above zero + RSI fast between 50-80 = +1.6 score
- Bearish momentum: downtrend (DI- > DI+ with ADX > 25) + MACD histogram falling below zero + RSI fast between 20-50 = -1.6 score
- Score multiplies by volatility adjustment factor: ×0.8 in high volatility (momentum less reliable), ×1.2 in low volatility (momentum more persistent)
Structure Component:
- Identifies swing highs and lows using 10-bar pivot lookback on both sides
- Maintains most recent swing high as dynamic resistance, most recent swing low as dynamic support
- Detects breakouts: bullish when close crosses above resistance with prior bar below; bearish when close crosses below support with prior bar above
- Breakout score: ±1.0 for confirmed break
- Moving average alignment: +0.5 when price > SMA20 > SMA50 (bullish structure); -0.5 when price < SMA20 < SMA50 (bearish structure)
- Total structure range: -1.5 to +1.5
Volume Component:
- Calculates Volume Price Trend: VPT = Σ [(Close - Close ) / Close × Volume]
- Compares VPT to its 10-period EMA as signal line (similar to MACD logic)
- Computes 20-period volume moving average and standard deviation
- High volume event: current volume > (volume_average + 1× std_dev)
- Bullish volume: VPT > VPT_signal AND high_volume = +1.0
- Bearish volume: VPT < VPT_signal AND high_volume = -1.0
- No score if volume is not elevated (filters out low-conviction moves)
Reversal Component:
- Identifies extreme RSI conditions: RSI slow < 30 (oversold) or > 70 (overbought)
- Requires structural confluence: price at or below support level for bullish reversal; at or above resistance for bearish reversal
- Requires momentum shift: RSI fast must be rising (for bull) or falling (for bear) to confirm reversal in progress
- Bullish reversal: RSI < 30 AND price ≤ support AND RSI rising = +1.0
- Bearish reversal: RSI > 70 AND price ≥ resistance AND RSI falling = -1.0
Composite Score Calculation
Final_Score = (Momentum × Weight_M) + (Structure × Weight_S) + (Volume × Weight_V) + (Reversal × Weight_R)
Initial weights: Momentum = 1.0, Structure = 1.2, Volume = 0.8, Reversal = 0.6
These weights adapt after each trade based on component-specific performance as described above.
The system also applies directional bias adjustment: if recent long trades have significantly lower win rate than shorts, bullish scores multiply by 0.9 to reduce aggressive long entries. Vice versa for underperforming shorts.
Position Sizing Algorithm
The position sizing calculation incorporates multiple confidence factors and automatically scales to any futures contract:
1. Base risk amount = Account_Size × Base_Risk_Percent × Adaptive_Risk_Multiplier
2. Stop distance in price units = ATR × User_Stop_Multiplier × Volatility_Regime_Multiplier × Entry_Buffer
3. Risk per contract = Stop_Distance × Dollar_Per_Point (automatically detected from instrument)
4. Raw position size = Risk_Amount / Risk_Per_Contract
Then applies confidence scaling:
- Signal confidence = min(|Weighted_Score| / Min_Score_Threshold, 2.0) — higher scores receive larger size, capped at 2×
- Direction confidence = Long_Win_Rate (for bulls) or Short_Win_Rate (for bears)
- Type confidence = Win_Rate of dominant signal type (momentum/structure/volume/reversal)
- Total confidence = (Signal_Confidence + Direction_Confidence + Type_Confidence) / 3
Adjusted size = Raw_Size × Total_Confidence × Losing_Streak_Reduction
Losing streak reduction = 0.5 if losing_streak ≥ 5, otherwise 1.0
Universal Maximum Position Calculation: Instead of hardcoded limits per instrument, the system calculates maximum position size as: Max_Contracts = Account_Size / 25000, clamped between 1 and 10 contracts. This means a $50,000 account allows up to 2 contracts, a $100,000 account allows up to 4 contracts, regardless of which futures contract is being traded. This universal approach maintains consistent risk exposure across different instruments while preventing overleveraging.
Final size is rounded to integer and bounded by the calculated maximum.
Session and Risk Management System
Timezone-Aware Session Control
The strategy implements timezone-correct session filtering. Users specify session start hour, end hour, and timezone from 12 supported zones (New York, Chicago, Los Angeles, London, Frankfurt, Moscow, Tokyo, Hong Kong, Shanghai, Singapore, Sydney, UTC). The system converts bar timestamps to the selected timezone before applying session logic.
For split sessions (e.g., Asian session 18:00-02:00), the logic correctly handles time wraparound. Weekend trading can be optionally disabled (default: disabled) to avoid low-liquidity weekend price action.
Multi-Layer Risk Controls
Daily Loss Limit: Strategy ceases all new entries when daily P&L reaches negative threshold (default $2,000). This prevents catastrophic drawdown days. Resets at timezone-corrected day boundary.
Weekly Profit Target: Strategy ceases trading when weekly profit reaches target (default $10,000). This implements the professional principle of "take the win and stop pushing luck." Resets on timezone-corrected Monday.
Maximum Daily Trades: Hard cap on entries per day (default 20) to prevent overtrading during volatile conditions when many signals may generate.
Trailing Drawdown Guard: Optional prop-firm-style trailing stop on account equity. When enabled, if equity drops below (Peak_Equity - Trailing_DD_Amount), all trading halts. This simulates the common prop firm rule where exceeding trailing drawdown results in account termination.
All limits display status in the real-time dashboard, showing "MAX LOSS HIT", "WEEKLY TARGET MET", or "ACTIVE" depending on current state.
How To Use This Strategy
Initial Setup
1. Apply the strategy to your desired futures chart (tested on 5-minute through daily timeframes)
2. The strategy will automatically detect your instrument's specifications—no manual configuration needed for different contracts
3. Configure your account size and risk parameters in the Core Settings section
4. Set your trading session hours and timezone to match your availability
5. Adjust the Stop Loss ATR multiplier based on your risk tolerance (0.8-1.2 for tighter stops, 1.5-2.5 for wider stops)
6. Select your preferred entry execution mode (recommend StopBreakout for beginners)
7. Enable adaptation (recommended) or disable for fixed-parameter operation
8. Review the strategy's Properties in the Strategy Tester settings and verify commission/slippage match your broker's actual costs
The universal futures detection means you can switch between ES, NQ, CL, GC, ZB, or any other futures contract without changing any strategy parameters—the system will automatically adapt its calculations to each instrument's unique specifications.
Dashboard Interpretation
The strategy displays a comprehensive real-time dashboard in the top-right corner showing:
Market State Section:
- Trend: Shows UPTREND/DOWNTREND/CONSOLIDATING/NEUTRAL based on ADX and DMI analysis
- ADX Value: Current trend strength (>25 = strong trend, <20 = consolidating)
- Momentum: BULL/BEAR/NEUTRAL classification with current momentum score
- Volatility: HIGH/LOW/NORMAL regime with ATR percentage of price
Volume Profile Section (Large dashboard only):
- VPT Flow: Directional bias from volume analysis
- Volume Status: HIGH/LOW/NORMAL with relative volume multiplier
Performance Section:
- Daily P&L: Current day's profit/loss with color coding
- Daily Trades: Number of completed trades today
- Weekly P&L: Current week's profit/loss
- Target %: Progress toward weekly profit target
- Stop-Out Rate: Percentage of last 20 trades (or available trades if <20) that were stopped out. Includes all stop types: initial stops, breakeven stops, trailing stops, timeout exits, and EOD flattens. Color coded with actionable guidance:
- Green (<30%): Shows "TIGHTEN" guidance. Very few stop-outs suggests stops may be too loose or exceptional market conditions. Consider reducing Stop Loss ATR multiplier.
- Orange (30-65%): Shows "OK" guidance. Healthy stop-out rate indicating appropriate stop placement for current conditions.
- Red (>65%): Shows "WIDEN" guidance. Too many premature stop-outs. Consider increasing Stop Loss ATR multiplier to give trades more room.
- Status: Overall trading status (ACTIVE/MAX LOSS HIT/WEEKLY TARGET MET/FILTERS ACTIVE)
Adaptive Engine Section:
- Min Score: Current minimum threshold for trade entry (higher = more selective)
- Risk Mult: Current position sizing multiplier (adjusts with performance)
- Bars BTW: Current minimum bars required between trades
- Drawdown: Current drawdown percentage from equity peak
- Weights: M/S/V/R showing current component weightings
Win Rates Section:
- Type: Win rates for Momentum, Structure, Volume, Reversal signal types
- Direction: Win rates for Long vs Short trades
Color coding shows green for >50% win rate, red for <50%
Session Info Section:
- Session Hours: Active trading window with timezone
- Weekend Trading: ENABLED/DISABLED status
- Session Status: ACTIVE/INACTIVE based on current time
Signal Generation and Entry
The strategy generates entries when the weighted composite score exceeds the adaptive minimum threshold (initial value configurable, typically 1.5 to 2.5). Entries display as layered triangle markers on the chart:
- Long Signal: Three green upward triangles below the entry bar
- Short Signal: Three red downward triangles above the entry bar
Triangle tooltip shows the signal score and dominant signal type (MOMENTUM/STRUCTURE/VOLUME/REVERSAL).
Position Management and Stop Optimization
Once entered, the strategy automatically manages the position through its three-stage exit system. Monitor the Stop-Out Rate metric in the dashboard to optimize your stop placement:
If Stop-Out Rate is Green (<30%): You're rarely being stopped out. This could mean:
- Your stops are too loose, allowing trades to give back too much profit on reversals
- You're in an exceptional trending market where tight stops would work better
- Action: Consider reducing your Stop Loss ATR multiplier by 0.1-0.2 to tighten stops and lock in profits more efficiently
If Stop-Out Rate is Orange (30-65%): Optimal range. Your stops are appropriately sized for the strategy's risk-reward profile and current market volatility. No adjustment needed.
If Stop-Out Rate is Red (>65%): You're being stopped out too frequently. This means:
- Your stops are too tight for current market volatility
- Trades need more room to develop before reaching profit targets
- Action: Increase your Stop Loss ATR multiplier by 0.1-0.3 to give trades more breathing room
Remember: The stop-out rate calculation includes all exit types (initial stops, breakeven stops, trailing stops, timeouts, EOD flattens). A trade that reaches breakeven and gets stopped out at entry price counts as a stop-out, even though it didn't lose money. This is intentional—it indicates the stop placement didn't allow the trade to develop into profit.
Optimization Workflow
For traders wanting to customize the strategy for their specific instrument and timeframe:
Week 1-2: Run with defaults, adaptation enabled
Allow the system to execute at least 30-50 trades (the Learning Period plus additional buffer). Monitor which session periods, signal types, and market conditions produce the best results. Observe your stop-out rate—if it's consistently red or green, plan to adjust Stop Loss ATR multiplier after the learning period. Do not adjust parameters yet—let the adaptive system establish baseline performance data.
Week 3-4: Analyze adaptation behavior and optimize stops
Review the dashboard's adaptive weights and win rates. If certain signal types consistently show <40% win rate, consider slightly reducing their base weight. If a particular entry mode produces better fill quality and win rate, switch to that mode. If you notice the minimum score threshold has climbed very high (>3.0), market conditions may not suit the strategy's logic—consider switching instruments or timeframes.
Based on your Stop-Out Rate observations:
- Consistently <30%: Reduce Stop Loss ATR multiplier by 0.2-0.3
- Consistently >65%: Increase Stop Loss ATR multiplier by 0.2-0.4
- Oscillating between zones: Leave stops at default and let volatility regime adjustments handle it
Ongoing: Fine-tune risk and execution
Adjust the following based on your risk tolerance and account type:
- Base Risk Per Trade: 0.5% for conservative, 0.75% for moderate, 1.0% for aggressive
- Stop Loss ATR Multiplier: 0.8-1.2 for tight stops (scalping), 1.5-2.5 for wide stops (swing trading)
- Bars Between Trades: Lower (5-7) for more opportunities, higher (12-20) for more selective
- Entry Mode: Experiment between modes to find best fit for current market character
- Session Hours: Narrow to specific high-performance session windows if certain hours consistently underperform
Never adjust: Do not manually modify the adaptive weights, minimum score, or risk multiplier after the system has begun learning. These parameters are self-optimizing and manual interference defeats the adaptive mechanism.
Parameter Descriptions and Optimization Guidelines
Adaptive Intelligence Group
Enable Self-Optimization (default: true): Master switch for the adaptive learning system. When enabled, component weights, minimum score, risk multiplier, and trade spacing adjust based on realized performance. Disable to run the strategy with fixed parameters (useful for comparing adaptive vs non-adaptive performance).
Learning Period (default: 15 trades): Number of most recent trades to analyze for performance calculations. Shorter values (10-12) adapt more quickly to recent conditions but may overreact to variance. Longer values (20-30) produce more stable adaptations but respond slower to regime changes. For volatile markets, use shorter periods. For stable trends, use longer periods.
Adaptation Speed (default: 0.25): Controls the magnitude of parameter adjustments per learning cycle. Lower values (0.05-0.15) make gradual, conservative changes. Higher values (0.35-0.50) make aggressive adjustments. Faster adaptation helps in rapidly changing markets but increases parameter instability. Start with default and increase only if you observe the system failing to adapt quickly enough to obvious performance patterns.
Performance Memory (default: 100 trades): Maximum number of historical trades stored for analysis. This array size does not affect learning (which uses only Learning Period trades) but provides data for future analytics features including stop-out rate tracking. Higher values consume more memory but provide richer historical dataset. Typical users should not need to modify this.
Core Settings Group
Account Size (default: $50,000): Starting capital for position sizing calculations. This should match your actual account size for accurate risk per trade. The strategy uses this value to calculate dollar risk amounts and determine maximum position size (1 contract per $25,000).
Weekly Profit Target (default: $10,000): When weekly P&L reaches this value, the strategy stops taking new trades for the remainder of the week. This implements a "quit while ahead" rule common in professional trading. Set to a realistic weekly goal—20% of account size per week ($10K on $50K) is very aggressive; 5-10% is more sustainable.
Max Daily Loss (default: $2,000): When daily P&L reaches this negative threshold, strategy stops all new entries for the day. This is your maximum acceptable daily loss. Professional traders typically set this at 2-4% of account size. A $2,000 loss on a $50,000 account = 4%.
Base Risk Per Trade % (default: 0.5%): Initial percentage of account to risk on each trade before adaptive multiplier and confidence scaling. 0.5% is conservative, 0.75% is moderate, 1.0-1.5% is aggressive. Remember that actual risk per trade = Base Risk × Adaptive Risk Multiplier × Confidence Factors, so the realized risk will vary.
Trade Filters Group
Base Minimum Signal Score (default: 1.5): Initial threshold that composite weighted score must exceed to generate a signal. Lower values (1.0-1.5) produce more trades with lower average quality. Higher values (2.0-3.0) produce fewer, higher-quality setups. This value adapts automatically when adaptive mode is enabled, but the base sets the starting point. For trending markets, lower values work well. For choppy markets, use higher values.
Base Bars Between Trades (default: 9): Minimum bars that must elapse after an entry before another signal can trigger. This prevents overtrading and allows previous trades time to develop. Lower values (3-6) suit scalping on lower timeframes. Higher values (15-30) suit swing trading on higher timeframes. This value also adapts based on drawdown and losing streaks.
Max Daily Trades (default: 20): Hard limit on total trades per day regardless of signal quality. This prevents runaway trading during extremely volatile days when many signals may generate. For 5-minute charts, 20 trades/day is reasonable. For 1-hour charts, 5-10 trades/day is more typical.
Session Group
Session Start Hour (default: 5): Hour (0-23 format) when trading is allowed to begin, in the timezone specified. For US futures trading in Chicago time, session typically starts at 5:00 or 6:00 PM (17:00 or 18:00) Sunday evening.
Session End Hour (default: 17): Hour when trading stops and no new entries are allowed. For US equity index futures, regular session ends at 4:00 PM (16:00) Central Time.
Allow Weekend Trading (default: false): Whether strategy can trade on Saturday/Sunday. Most futures have low volume on weekends; keeping this disabled is recommended unless you specifically trade Sunday evening open.
Session Timezone (default: America/Chicago): Timezone for session hour interpretation. Select your local timezone or the timezone of your instrument's primary exchange. This ensures session logic aligns with your intended trading hours.
Prop Guards Group
Trailing Drawdown Guard (default: false): Enables prop-firm-style trailing maximum drawdown. When enabled, if equity drops below (Peak Equity - Trailing DD Amount), all trading halts for the remainder of the backtest/live session. This simulates rules used by funded trader programs where exceeding trailing drawdown terminates the account.
Trailing DD Amount (default: $2,500): Dollar amount of drawdown allowed from equity peak. If your equity reaches $55,000, the trailing stop sets at $52,500. If equity then drops to $52,499, the guard triggers and trading ceases.
Execution Kernel Group
Entry Mode (default: StopBreakout):
- StopBreakout: Places stop orders above/below signal bar requiring price confirmation
- LimitPullback: Places limit orders at pullback prices seeking better fills
- MarketNextOpen: Executes immediately at market on next bar
Limit Offset (default: 0.5x ATR): For LimitPullback mode, how far below/above current price to place the limit order. Smaller values (0.3-0.5) seek minor pullbacks. Larger values (0.8-1.2) wait for deeper retracements but may miss trades.
Entry TTL (default: 6 bars, 0=off): Bars an entry order remains pending before cancelling. Shorter values (3-4) keep signals fresh. Longer values (8-12) allow more time for fills but risk executing stale signals. Set to 0 to disable TTL (orders remain active indefinitely until filled or opposite signal).
Exits Group
Stop Loss (default: 1.25x ATR): Base stop distance as a multiple of the 14-period ATR. This is your primary risk control parameter and directly impacts your stop-out rate. Lower values (0.8-1.0) create tighter stops that reduce risk per trade but may get stopped out prematurely in volatile conditions—expect stop-out rates above 65% (red zone). Higher values (1.5-2.5) give trades more room to breathe but increase risk per contract—expect stop-out rates below 30% (green zone). The system applies additional volatility regime adjustments on top of this base: ×1.2 in high volatility environments (stops widen automatically), ×0.8 in low volatility (stops tighten), ×1.0 in normal conditions. For scalping on lower timeframes, use 0.8-1.2. For swing trading on higher timeframes, use 1.5-2.5. Monitor the Stop-Out Rate metric in the dashboard and adjust this parameter to keep it in the healthy 30-65% orange zone.
Move to Breakeven at (default: 1.0R): When profit reaches this multiple of initial risk, stop moves to breakeven. 1.0R means after price moves in your favor by the distance you risked, you're protected at entry price. Lower values (0.5-0.8R) lock in breakeven faster. Higher values (1.5-2.0R) allow more room before protection.
Start Trailing at (default: 1.2R): When profit reaches this multiple, the fixed stop transitions to a dynamic trailing stop. This should be greater than the BE trigger. Values typically range 1.0-2.0R depending on how much profit you want secured before trailing activates.
Trail Offset (default: 1.0R): How far behind price the trailing stop follows. Tighter offsets (0.5-0.8R) protect profit more aggressively but may exit prematurely. Wider offsets (1.5-2.5R) allow more room for profit to run but risk giving back more on reversals.
Trail Step (default: 1.5R): How far price must move in profitable direction before the stop advances. Smaller steps (0.5-1.0R) move the stop more frequently, tightening protection continuously. Larger steps (2.0-3.0R) move the stop less often, giving trades more breathing room.
Max Bars In Trade (default: 0=off): Maximum bars allowed in a position before forced exit. This prevents trades from "going stale" during periods of no meaningful price action. For 5-minute charts, 50-100 bars (4-8 hours) is reasonable. For daily charts, 5-10 bars (1-2 weeks) is typical. Set to 0 to disable.
Flatten near Session End (default: true): Whether to automatically close all positions as session end approaches. Recommended to avoid carrying positions into off-hours with low liquidity.
Minutes before end (default: 5): How many minutes before session end to flatten. 5-15 minutes provides buffer for order execution before the session boundary.
Visual Effects Configuration Group
Dashboard Size (default: Normal): Controls information density in the dashboard. Small shows only critical metrics (excludes stop-out rate). Normal shows comprehensive data including stop-out rate. Large shows all available metrics including weights, session info, and volume analysis. Larger sizes consume more screen space but provide complete visibility.
Show Quantum Field (default: true): Displays animated grid pattern on the chart indicating market state. Disable if you prefer cleaner charts or experience performance issues on lower-end hardware.
Show Wick Pressure Lines (default: true): Draws dynamic lines from bars with extreme wicks, indicating potential support/resistance or liquidity absorption zones. Disable for simpler visualization.
Show Morphism Energy Beams (default: true): Displays directional beams showing momentum energy flow. Beams intensify during strong trends. Disable if you find this visually distracting.
Show Order Flow Clouds (default: true): Draws translucent boxes representing volume flow bullish/bearish bias. Disable for cleaner price action visibility.
Show Fractal Grid (default: true): Displays multi-timeframe support/resistance levels based on fractal price structure at 10/20/30/40/50 bar periods. Disable if you only want to see primary pivot levels.
Glow Intensity (default: 4): Controls the brightness and thickness of visual effects. Lower values (1-2) for subtle visualization. Higher values (7-10) for maximum visibility but potentially cluttered charts.
Color Theme (default: Cyber): Visual color scheme. Cyber uses cyan/magenta futuristic colors. Quantum uses aqua/purple. Matrix uses green/red terminal style. Aurora uses pastel pink/purple gradient. Choose based on personal preference and monitor calibration.
Show Watermark (default: true): Displays animated watermark at bottom of chart with creator credit and current P&L. Disable if you want completely clean charts or need screen space.
Performance Characteristics and Best Use Cases
Optimal Conditions
This strategy performs best in markets exhibiting:
Trending phases with periodic pullbacks: The combination of momentum and structure components excels when price establishes directional bias but provides retracement opportunities for entries. Markets with 60-70% trending bars and 30-40% consolidation produce the highest win rates.
Medium to high volatility: The ATR-based stop sizing and dynamic risk adjustment require sufficient price movement to generate meaningful profit relative to risk. Instruments with 2-4% daily ATR relative to price work well. Extremely low volatility (<1% daily ATR) generates too many scratch trades.
Clear volume patterns: The VPT volume component adds significant edge when volume expansions align with directional moves. Instruments and timeframes where volume data reflects actual transaction flow (versus tick volume proxies) perform better.
Regular session structure: Futures markets with defined opening and closing hours, consistent liquidity throughout the session, and clear overnight/day session separation allow the session controls and time-based failsafes to function optimally.
Sufficient liquidity for stop execution: The stop breakout entry mode requires that stop orders can fill without significant slippage. Highly liquid contracts work better than illiquid instruments where stop orders may face adverse fills.
Suboptimal Conditions
The strategy may struggle with:
Extreme chop with no directional persistence: When ADX remains below 15 for extended periods and price oscillates rapidly without establishing trends, the momentum component generates conflicting signals. Win rate typically drops below 40% in these conditions, triggering the adaptive system to increase minimum score thresholds until conditions improve. Stop-out rates may also spike into the red zone.
Gap-heavy instruments: Markets with frequent overnight gaps disrupt the continuous price assumptions underlying ATR stops and EMA-based structure analysis. Gaps can also cause stop orders to fill at prices far from intended levels, distorting stop-out rate metrics.
Very low timeframes with excessive noise: On 1-minute or tick charts, the signal components react to micro-structure noise rather than meaningful price swings. The strategy works best on 5-minute through daily timeframes where price movements reflect actual order flow shifts.
Extended low-volatility compression: During historically low volatility periods, profit targets become difficult to reach before mean-reversion occurs. The trail offset, even when set to minimum, may be too wide for the compressed price environment. Stop-out rates may drop to green zone indicating stops should be tightened.
Parabolic moves or climactic exhaustion: Vertical price advances or selloffs where price moves multiple ATRs in single bars can trigger momentum signals at exhaustion points. The structure and reversal components attempt to filter these, but extreme moves may override normal logic.
The adaptive learning system naturally reduces signal frequency and position sizing during unfavorable conditions. If you observe multiple consecutive days with zero trades and "FILTERS ACTIVE" status, this indicates the strategy has self-adjusted to avoid poor conditions rather than forcing trades.
Instrument Recommendations
Emini Index Futures (ES, MES, NQ, MNQ, YM, RTY): Excellent fit. High liquidity, clear volatility patterns, strong volume signals, defined session structure. These instruments have been extensively tested and the universal detection handles all contract specifications automatically.
Micro Index Futures (MES, MNQ, M2K, MYM): Excellent fit for smaller accounts. Same market characteristics as the standard eminis but with reduced contract sizes allowing proper risk management on accounts below $50,000.
Energy Futures (CL, NG, RB, HO): Good to mixed fit. Crude oil (CL) works well due to strong trends and reasonable volatility. Natural gas (NG) can be extremely volatile—consider reducing Base Risk to 0.3-0.4% and increasing Stop Loss ATR multiplier to 1.8-2.2 for NG. The strategy automatically detects the $10/tick value for CL and adjusts position sizing accordingly.
Metal Futures (GC, SI, HG, PL): Good fit. Gold (GC) and silver (SI) exhibit clear trending behavior and work well with the momentum/structure components. The strategy automatically handles the different point values ($100/point for gold, $5,000/point for silver).
Agricultural Futures (ZC, ZS, ZW, ZL): Good fit. Grain futures often trend strongly during seasonal periods. The strategy handles the unique tick sizes (1/4 cent increments) and point values ($50/point for corn/wheat, $60/point for soybeans) automatically.
Treasury Futures (ZB, ZN, ZF, ZT): Good fit for trending rates environments. The strategy automatically handles the fractional tick sizing (32nds for ZB/ZN, halves of 32nds for ZF/ZT) through the universal detection system.
Currency Futures (6E, 6J, 6B, 6A, 6C): Good fit. Major currency pairs exhibit smooth trending behavior. The strategy automatically detects point values which vary significantly ($12.50/tick for 6E, $12.50/tick for 6J, $6.25/tick for 6B).
Cryptocurrency Futures (BTC, ETH, MBT, MET): Mixed fit. These markets have extreme volatility requiring parameter adjustment. Increase Base Risk to 0.8-1.2% and Stop Loss ATR multiplier to 2.0-3.0 to account for wider stop distances. Enable 24-hour trading and weekend trading as these markets have no traditional sessions.
The universal futures compatibility means you can apply this strategy to any of these markets without code modification—simply open the chart of your desired contract and the strategy will automatically configure itself to that instrument's specifications.
Important Disclaimers and Realistic Expectations
This is a sophisticated trading strategy that combines multiple analytical methods within an adaptive framework designed for active traders who will monitor performance and market conditions. It is not a "set and forget" fully automated system, nor should it be treated as a guaranteed profit generator.
Backtesting Realism and Limitations
The strategy includes realistic trading costs and execution assumptions:
- Commission: $0.62 per contract per side (accurate for many retail futures brokers)
- Slippage: 1 tick per entry and exit (conservative estimate for liquid futures)
- Position sizing: Realistic risk percentages and maximum contract limits based on account size
- No repainting: All calculations use confirmed bar data only—signals do not change retroactively
However, backtesting cannot fully capture live trading reality:
- Order fill delays: In live trading, stop and limit orders may not fill instantly at the exact tick shown in backtest
- Volatile periods: During high volatility or low liquidity (news events, rollover days, pre-holidays), slippage may exceed the 1-tick assumption significantly
- Gap risk: The backtest assumes stops fill at stop price, but gaps can cause fills far beyond intended exit levels
- Psychological factors: Seeing actual capital at risk creates emotional pressures not present in backtesting, potentially leading to premature manual intervention
The strategy's backtest results should be viewed as best-case scenarios. Real trading will typically produce 10-30% lower returns than backtest due to the above factors.
Risk Warnings
All trading involves substantial risk of loss. The adaptive learning system can improve parameter selection over time, but it cannot predict future price movements or guarantee profitable performance. Past wins do not ensure future wins.
Losing streaks are inevitable. Even with a 60% win rate, you will encounter sequences of 5, 6, or more consecutive losses due to normal probability distributions. The strategy includes losing streak detection and automatic risk reduction, but you must have sufficient capital to survive these drawdowns.
Market regime changes can invalidate learned patterns. If the strategy learns from 50 trades during a trending regime, then the market shifts to a ranging regime, the adapted parameters may initially be misaligned with the new environment. The system will re-adapt, but this transition period may produce suboptimal results.
Prop firm traders: understand your specific rules. Every prop firm has different rules regarding maximum drawdown, daily loss limits, consistency requirements, and prohibited trading behaviors. While this strategy includes common prop guardrails, you must verify it complies with your specific firm's rules and adjust parameters accordingly.
Never risk capital you cannot afford to lose. This strategy can produce substantial drawdowns, especially during learning periods or market regime shifts. Only trade with speculative capital that, if lost, would not impact your financial stability.
Recommended Usage
Paper trade first: Run the strategy on a simulated account for at least 50 trades or 1 month before committing real capital. Observe how the adaptive system behaves, identify any patterns in losing trades, monitor your stop-out rate trends, and verify your understanding of the entry/exit mechanics.
Start with minimum position sizing: When transitioning to live trading, reduce the Base Risk parameter to 0.3-0.4% initially (vs 0.5-1.0% in testing) to reduce early impact while the system learns your live broker's execution characteristics.
Monitor daily, but do not micromanage: Check the dashboard daily to ensure the strategy is operating normally and risk controls have not triggered unexpectedly. Pay special attention to the Stop-Out Rate metric—if it remains in the red or green zones for multiple days, adjust your Stop Loss ATR multiplier accordingly. However, resist the urge to manually adjust adaptive weights or disable trades based on short-term performance. Allow the adaptive system at least 30 trades to establish patterns before making manual changes.
Combine with other analysis: While this strategy can operate standalone, professional traders typically use systematic strategies as one component of a broader approach. Consider using the strategy for trade execution while applying your own higher-timeframe analysis or fundamental view for trade filtering or sizing adjustments.
Keep a trading journal: Document each week's results, note market conditions (trending vs ranging, high vs low volatility), record stop-out rates and any Stop Loss ATR adjustments you made, and document any manual interventions. Over time, this journal will help you identify conditions where the strategy excels versus struggles, allowing you to selectively enable or disable trading during certain environments.
Technical Implementation Notes
All calculations execute on closed bars only (`calc_on_every_tick=false`) ensuring that signals and values do not repaint. Once a bar closes and a signal generates, that signal is permanent in the history.
The strategy uses fixed-quantity position sizing (`default_qty_type=strategy.fixed, default_qty_value=1`) with the actual contract quantity determined by the position sizing function and passed to the entry commands. This approach provides maximum control over risk allocation.
Order management uses Pine Script's native `strategy.entry()` and `strategy.exit()` functions with appropriate parameters for stops, limits, and trailing stops. All orders include explicit from_entry references to ensure they apply to the correct position.
The adaptive learning arrays (trade_returns, trade_directions, trade_types, trade_hours, trade_was_stopped) are maintained as circular buffers capped at PERFORMANCE_MEMORY size (default 100 trades). When a new trade closes, its data is added to the beginning of the array using `array.unshift()`, and the oldest trade is removed using `array.pop()` if capacity is exceeded. The stop-out tracking system analyzes the trade_was_stopped array to calculate the rolling percentage displayed in the dashboard.
Dashboard rendering occurs only on the confirmed bar (`barstate.isconfirmed`) to minimize computational overhead. The table is pre-created with sufficient rows for the selected dashboard size and cells are populated with current values each update.
Visual effects (fractal grid, wick pressure, morphism beams, order flow clouds, quantum field) recalculate on each bar for real-time chart updates. These are computationally intensive—if you experience chart lag, disable these visual components. The core strategy logic continues to function identically regardless of visual settings.
Timezone conversions use Pine Script's built-in timezone parameter on the `hour()`, `minute()`, and `dayofweek()` functions. This ensures session logic and daily/weekly resets occur at correct boundaries regardless of the chart's default timezone or the server's timezone.
The universal futures detection queries `syminfo.mintick` and `syminfo.pointvalue` on each strategy initialization to obtain the current instrument's specifications. These values remain constant throughout the strategy's execution on a given chart but automatically update when the strategy is applied to a different instrument.
The strategy has been tested on TradingView across timeframes from 5-minute through daily and across multiple futures instrument types including equity indices, energy, metals, agriculture, treasuries, and currencies. It functions identically on all instruments due to the percentage-based risk model and ATR-relative calculations which adapt automatically to price scale and volatility, combined with the universal futures detection system that handles contract-specific specifications.
Multy Dynamic POCThis script displays up to 4 independent Point of Control (POC) levels based on volume profile logic.
📌 Each POC can be configured individually:
Period options: Daily (D), Weekly (W), Monthly (M), or BARS (rolling bar window).
Dynamic recalculation when the period changes (e.g., new day/week/month or custom bar count).
Price-anchored lines for each POC level that scale correctly with the chart.
Customizable line color and thickness.
🔍 How it works:
For each active POC line, the script builds a simple volume distribution based on the candle’s average price (hl2) and volume.
The price range is split into 100 buckets. The one with the highest accumulated volume is selected as the Point of Control (POC).
In BARS mode, POC is recalculated every N bars. In D/W/M modes, it resets exactly at the beginning of a new period (according to TradingView’s time() function).
✅ Useful for:
Traders applying volume profile analysis without needing the full built-in volume profile tool.
Spotting dynamic high-volume zones in trends or ranges.
Strategy development or confirmation around high-interest price levels.
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Данный индикатор отображает до 4 независимых уровней Point of Control (POC), рассчитанных по объёмам.
📌 Каждый POC можно настраивать отдельно:
Периоды: День (D), Неделя (W), Месяц (M) или BARS (скользящее окно по количеству баров).
Автоматический пересчёт при смене периода (например, новый день, неделя или месяц).
Линии POC привязаны к цене и масштабируются вместе с графиком.
Настраиваемый цвет и толщина линий.
🔍 Как работает:
Для каждой активной линии POC создаётся объёмное распределение: берется средняя цена свечи (hl2) и объем.
Диапазон цен делится на 100 уровней. Тот, где накоплено больше всего объёма, и есть POC.
В режиме BARS уровень пересчитывается каждые N баров. В режимах D/W/M — строго в начале нового периода.
✅ Подходит для:
Трейдеров, использующих объёмный анализ, но не имеющих платной подписки на Volume Profile.
Поиска уровней интереса и подтверждения сигналов.
Разработки стратегий с опорой на объём.
