PoC Migration Map [BackQuant]PoC Migration Map
A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime.
What this is
This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart.
The result is a "migration map" of value:
A side volume profile that shows how volume is distributed over the recent price range.
A sequence of PoC nodes that show where local value has been accepted over time.
Lines that connect those PoCs to reveal the path of value migration.
Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime.
Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend.
Core components
Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window.
Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time.
Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21.
PoC labels - optional labels on every Nth PoC for easier reading and referencing.
How it works
1) Global lookback and binning
You choose:
Lookback Bars - how far back to collect data.
Number of Bins - how finely to split the price range.
The script:
Finds the highest high and lowest low in the lookback.
Computes the total price range and divides it into equal binCount slices.
Assigns each bar's close and volume into the appropriate price bin.
This creates a discretized volume distribution across the entire lookback.
2) Side volume profile
If "Show Side Profile" is enabled, a right-hand volume profile is drawn:
Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar.
The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin.
Optionally, volume values and percentages are printed inside the profile bars.
Color and transparency are controlled by:
Base Profile Color and its transparency.
A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins.
Profile Width (%) - how wide the maximum bin can extend in bars.
This gives you an at-a-glance view of the volume landscape for the chosen lookback window.
3) Segmenting for PoC migration
To build the PoC trail, the lookback is divided into segments:
Bars per Segment - bars in each local cluster.
Number of Segments - how many segments you want to see back in time.
For each segment:
The script uses the same price bins and accumulates volume only from bars in that segment.
It finds the bin with the highest volume in that segment, which is the local PoC for that segment.
It sets the PoC price to the center of that bin.
It finds the "mid bar" of the segment and places the PoC node at that time on the chart.
This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time.
4) Trend regime and color coding
The indicator precomputes:
EMA 12 (Fast).
EMA 21 (Slow).
For each PoC:
It samples EMA 12 and EMA 21 at the mid bar of that segment.
It computes a simple trend score as fast EMA minus slow EMA.
If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by:
Trend Up Color if EMA 12 is above EMA 21.
Trend Down Color if EMA 12 is below EMA 21.
Trend Flat Color if they are roughly equal.
If the trend heatmap is disabled, PoC color is instead based on PoC migration:
If the current PoC is above the previous PoC, use the Up PoC Color.
If the current PoC is below the previous PoC, use the Down PoC Color.
If unchanged, use the Flat PoC Color.
5) Connecting PoCs and labels
Once PoC prices and times are known:
Each PoC is connected to the previous one with a dotted line, using the PoC's color.
Optional labels are placed next to every Nth PoC:
Label text uses a simple "PoC N" scheme.
Label background uses a configurable label background color.
Label border is colored by the PoC's own color for visual consistency.
This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart.
What it plots
When fully enabled, you will see:
A right-sided volume profile for the chosen lookback window, built from volume by price.
Colored horizontal bars representing each price bin's relative volume.
Optional volume text showing each bin's volume and its percentage of the profile maximum.
A series of PoC nodes spaced across the chart at the mid point of each segment.
Dotted lines connecting those PoCs to show the migration path of value.
Optional PoC labels at each Nth node for easier reference.
Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift.
Reading PoC migration and market pressure
Side profile as a pressure map
The side profile shows where trading has been most active:
Thick, opaque bars represent high volume zones and possible high interest or acceptance areas.
Thin, faint bars represent low volume zones, potential rejection or transition areas.
When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size.
When price moves quickly through low volume bins, it often does so with less friction.
This gives you a static map of where the market has been willing to do business within your lookback.
PoC trail as a value migration map
The PoC chain represents "where value has lived" over time:
An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices.
A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down.
A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance.
Taken together, you can interpret:
Side profile as "where the volume mass sits", a static pressure field.
PoC trail as "how that mass has moved", the dynamic path of value.
Trend heatmap as a regime overlay
When PoCs are colored by the EMA 12 / 21 spread:
Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime.
Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime.
Gray PoCs mark flat or ambiguous trend segments.
This lets you answer questions like:
"Is value migrating higher while the trend regime is also up?" (trend confirming value).
"Is value migrating higher but most PoCs are red?" (value against the prevailing trend).
"Has value started to roll over just as PoCs flip from green to red?" (early regime transition).
Key settings
General Settings
Lookback Bars - how many bars back to use for both the global volume profile and segment profiles.
Number of Bins - how many price bins to split the high to low range into.
Profile Settings
Show Side Profile - toggle the right-hand volume profile on or off.
Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars.
Base Profile Color - the starting color for profile bars, with transparency.
Show Volume Values - if enabled, print volume and percent for each non-zero bin.
Profile Text Color - color for volume text inside the profile.
PoC Migration Settings
Show PoC Migration - toggle the PoC trail plotting.
Bars per Segment - the number of bars contained in each segment.
Number of Segments - how many segments to build backwards from the current bar.
Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.)
Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels).
Right Offset (bars) - horizontal offset to anchor the side profile on the right.
Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off.
Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off.
Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off.
PoC Label Background - background color for PoC labels.
Trend Heatmap Settings
Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors.
Fast EMA - length for the fast EMA.
Slow EMA - length for the slow EMA.
Trend Up Color - color for PoCs in a bullish EMA regime.
Trend Down Color - color for PoCs in a bearish EMA regime.
Trend Flat Color - color for neutral or flat EMA regimes.
Trading applications
1) Value migration and trend confirmation
Use the PoC path to see if value is following price or lagging it:
In a healthy uptrend, price, PoCs, and trend regime should all lean higher.
In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs.
In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle.
2) Identifying acceptance and rejection zones
Combine the side profile with PoC locations:
High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points.
PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones.
High volume zones with mixed PoC colors may signal balance or prolonged negotiation.
3) Structuring entries and exits
Use the map to refine trade location:
Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change.
Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries.
Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise.
4) Regime transitions
Watch how PoCs behave as the EMA regime changes:
A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend.
If EMAs flip but PoC migration does not follow, the trend signal may be early or false.
A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend.
Best practices
Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse.
Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing.
Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing.
Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests.
Notes
This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand:
Where the bulk of trading has occurred in your chosen window.
How the center of volume has migrated over time.
Whether that migration is aligned with or fighting the current trend regime.
By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
Indicatori e strategie
V2 BUY LOW, BUY MORE, SELL HIGH Strategy w Buffett Meter-LITE__________________________________________________________________________
V2 Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI)
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Category: Quantitative Momentum & Liquidity Flow
Author: JTMarketAI
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
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Core Features
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Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
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Why It Does Not Repaint
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All state updates occur only on confirmed bars
All trades are recorded and remembered to not disappear
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
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Lite Edition Notes
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Manual trading focused
Live trades (Dark Blue) Preview period trades (aqua entries)
On strategy start date, if preview trades are profitable, live trades begin.
Buffett Meter enabled. Nice for monitoring volume bar-by-bar for day trading.
Visual dashboard included
No alerts, automation, or webhooks (PRO unlocks TradersPost.io auto-trading)
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Limitations
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Best on intraday equities (1m–4h) V2 uses virtual volume to enable Daily Charts.
Designed for stock market tickers only.
High-resource if full visuals enabled
Avoid extremely low-volume tickers. Nice cyclical wave tickers like TSLA are best.
Does not guard against after-hours gaps or major news moves
Does not prevent tickers from racing towards 0.
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Warnings
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Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
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Disclaimer
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For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
Markov ProjectionThe idea here is to provide mobile S/R through Markov chaining. Definitely not a reversion to the mean trading system, or a trading system of any sort. More like an error bounded future price envelope that dramatically overshoots projected price in the direction it's moving in while just barely failing price bounding in the opposite direction. So in an uptrend, it'll overshoot the top while the bottom pokes out a bit and vice versa. Looks rather pretty. You'll have to adjust transparency settings. Happy hunting.
Range Deviation Sniper (Whale Strat) personalized trading indicator It's designed to spot range deviations and highlight certain patterns of your chart so you can find good trade entries it's kind of like having a little helper that points out where the market might be setting up a nice opportunity. This is dedicated to my teacher Christo Columbus
5 SMA Set + Bollinger Bands follow this especially 5 day average5 SMA Set + Bollinger Bands follow this especially 5 day average is important
//@version=5
indicator("5'li SMA Seti + Bollinger Bands", overlay=true, max_lines_count=10)
// === ORİJİNAL 5'Lİ SMA SETİ (HİÇ DOKUNMADIM) ===
len1 = 1
len5 = 5
sma1_low = ta.sma(low, len1)
sma1_high = ta.sma(high, len1)
sma5_low = ta.sma(low, len5)
sma5_high = ta.sma(high, len5)
sma5_close = ta.sma(close, len5)
plot(sma1_low, title="1 Periyot Düşük SMA", color=#8B0000, linewidth=4, style=plot.style_circles)
plot(sma1_high, title="1 Periyot Yüksek SMA", color=#006400, linewidth=4, style=plot.style_circles)
plot(sma5_low, title="5 Periyot Düşük SMA", color=#FF4040, linewidth=2, style=plot.style_line)
plot(sma5_high, title="5 Periyot Yüksek SMA", color=#90EE90, linewidth=2, style=plot.style_line)
plot(sma5_close, title="5 Periyot Kapanış SMA", color=#DA70D6, linewidth=3, style=plot.style_line)
// === KLASİK BOLLINGER BANDS (20-2) - ORİJİNAL HALİYLE ===
length_bb = 20
mult = 2.0
basis = ta.sma(close, length_bb)
dev = mult * ta.stdev(close, length_bb)
upper = basis + dev
lower = basis - dev
plot(basis, title="BB Orta (SMA 20)", color=#787B86, linewidth=2)
p1 = plot(upper, title="BB Üst Bant", color=#2962FF, linewidth=1)
p2 = plot(lower, title="BB Alt Bant", color=#2962FF, linewidth=1)
fill(p1, p2, color=color.new(#2962FF, 94), title="BB Arka Plan")
Optionsmith Daily SPX Direction ModelThis indicator, published by Optionsmith LLC, is used on the DAILY chart only, to gauge whether there is an edge to the bullish side or bearish side for the day. It uses multiple factors, such as where the price closed the previous day compared to the range for that day, as well as whether there is a large gap on open, and factoring in the general upward drift of SPX over time.
This indicator is published as is for educational use and with no guarantees on its reliability.
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MACDiver Indicator Usage Guide
Purpose: Detects bullish and bearish divergences between price action and the MACD oscillator, with projected target price levels.
Key Features:
Divergence Detection: Finds mismatches between price and MACD movements
Target Projection: Calculates and displays estimated reversal price levels
Visual Signals: Shows lines, labels, and target markers on the chart
Main Settings:
pivotLR: Sensitivity for pivot detection (default: 5). Lower = more sensitive, higher = fewer false signals
searchBack: How many bars back to search for matching pivots (default: 120). Adjust based on your timeframe
showTarget: Enable/disable target price projections
showTargetLines: Enable/disable dashed projection lines
How to Use:
Identify Divergences:
Bullish: Price makes lower lows while MACD makes higher lows (green "Bull Div" label)
Bearish: Price makes higher highs while MACD makes lower highs (red "Bear Div" label)
Check Target Levels:
Green/red target label shows projected price level for bullish/bearish divergences
Dashed line extends from the divergence point to the target
Trade Entry:
Use divergence confirmation as potential entry signal
Target level as take-profit reference
Adjust Settings:
Higher pivotLR for fewer signals, lower for more sensitivity
Adjust searchBack based on typical trend lengths on your timeframe
Key Variables:
pivotLR: Number of bars to the left/right to confirm pivot highs/lows
searchBack: Maximum number of bars to look back when searching for previous matching pivots
VMDM - Volume, Momentum & Divergence Master [BullByte]VMDM - Volume, Momentum and Divergence Master
Educational Multi-Layer Market Structure Analysis System
Multi-factor divergence engine that scores RSI momentum, volume pressure, and institutional footprints into one non-repainting confluence rating (0-100).
WHAT THIS INDICATOR IS
VMDM is an educational indicator designed to teach traders how to recognize high-probability reversal and continuation patterns by analyzing four independent market dimensions simultaneously. Instead of relying on a single indicator that may produce frequent false signals, VMDM creates a confluence-based scoring system that weights multiple confirmation factors, helping you understand which setups have stronger technical backing and which are lower quality.
This is NOT a trading system or signal generator. It is a learning tool that visualizes complex market structure concepts in an accessible format for both coders and non-coders.
THE PROBLEM IT SOLVES
Most traders face these common challenges:
Challenge 1 - Indicator Overload: Running RSI, volume analysis, and divergence detection separately creates chart clutter and conflicting signals. You waste time cross-referencing multiple windows trying to determine if all factors align.
Challenge 2 - False Divergences: Standard divergence indicators trigger on every minor pivot, creating noise. Many divergences fail because they lack supporting evidence from volume or market structure.
Challenge 3 - Missed Context: A bullish RSI divergence means nothing if it occurs during weak volume or in the middle of strong distribution. Context determines quality.
Challenge 4 - Repainting Confusion: Many divergence scripts repaint, showing perfect historical signals that never actually triggered in real-time, leading to false confidence.
Challenge 5 - Institutional Pattern Recognition: Absorption zones, stop hunts, and exhaustion patterns are taught in trading education but difficult to identify systematically without manual analysis.
VMDM addresses all five challenges by combining complementary analytical layers into one transparent, non-repainting, confluence-weighted system with visual clarity.
WHY THIS SPECIFIC COMBINATION - MASHUP JUSTIFICATION
This indicator is NOT a random mashup of popular indicators. Each of the four layers serves a specific analytical purpose and together they create a complete market structure assessment framework.
THE FOUR ANALYTICAL LAYERS
LAYER 1 - RSI MOMENTUM DIVERGENCE (Trend Exhaustion Detection)
Purpose: Identifies when price momentum is weakening before price itself reverses.
Why RSI: The Relative Strength Index measures momentum on a bounded 0-100 scale, making divergence detection mathematically consistent across all assets and timeframes. Unlike raw price oscillators, RSI normalizes momentum regardless of volatility regime.
How It Contributes: Divergence between price pivots and RSI pivots reveals early momentum exhaustion. A lower price low with a higher RSI low (bullish regular divergence) signals sellers are losing strength even as price makes new lows. This is the PRIMARY signal generator in VMDM.
Limitation If Used Alone: RSI divergence by itself produces many false signals because momentum can remain weak during continued trends. It needs confirmation from volume and structural evidence.
LAYER 2 - VOLUME PRESSURE ANALYSIS (Buying vs Selling Intensity)
Purpose: Quantifies whether the current bar's volume reflects buying pressure or selling pressure based on where price closed within the bar's range.
Methodology: Instead of just measuring volume size, VMDM calculates WHERE in the bar range the close occurred. A close near the high on high volume indicates strong buying absorption. A close near the low indicates selling pressure. The calculation accounts for wick size (wicks reduce pressure quality) and uses percentile ranking over a lookback period to normalize pressure strength on a 0-100 scale.
Formula Concept:
Buy Pressure = Volume × (Close - Low) / (High - Low) × Wick Quality Factor
Sell Pressure = Volume × (High - Close) / (High - Low) × Wick Quality Factor
Net Pressure = Buy Pressure - Sell Pressure
Pressure Strength = Percentile Rank of Net Pressure over lookback period
Why Percentile Ranking: Absolute volume varies by asset and session. Percentile ranking makes 85th percentile pressure on low-volume crypto comparable to 85th percentile pressure on high-volume forex.
How It Contributes: When a bullish divergence occurs at a pivot low AND pressure strength is above 60 (strong buying), this adds 25 confluence points. It confirms that the divergence is occurring during actual accumulation, not just weak selling.
Limitation If Used Alone: Pressure analysis shows current bar intensity but cannot identify trend exhaustion or reversal timing. High buying pressure can exist during a strong uptrend with no reversal imminent.
LAYER 3 - BEHAVIORAL FOOTPRINT PATTERNS (Volume Anomaly Detection)
CRITICAL DISCLAIMER: The terms "institutional footprint," "absorption," "stop hunt," and "exhaustion" used in this indicator are EDUCATIONAL LABELS for specific price and volume behavioral patterns. These patterns are detected through technical analysis of publicly available price, volume, and bar structure data. This indicator does NOT have access to actual institutional order flow, market maker data, broker stop-loss locations, or any non-public data source. These pattern names are used because they are common terminology in trading education to describe these technical behaviors. The analysis is interpretive and based on observable price action, not privileged information.
Purpose: Detect volume anomalies and price patterns that historically correlate with potential reversal zones or trend continuation failure.
Pattern Type 1 - Absorption (Labeled as "ACCUMULATION" or "DISTRIBUTION")
Detection Criteria: Volume is more than 2x the moving average AND bar range is less than 50 percent of the average bar range.
Interpretation: High volume compressed into a tight range suggests large participants are absorbing supply (accumulation) or distribution (distribution) without allowing price to move significantly. This often precedes directional moves once absorption completes.
Visual: Colored box zone highlighting the absorption area.
Pattern Type 2 - Stop Hunt (Labeled as "BULL HUNT" or "BEAR HUNT")
Detection Criteria: Price penetrates a recent 10-bar high or low by a small margin (0.2 percent), then closes back inside the range on above-average volume (1.5x+).
Interpretation: Price briefly spikes beyond recent structure (likely triggering stop losses placed just beyond obvious levels) then reverses. This is a classic false breakout pattern often seen before reversals.
Visual: Label at the wick extreme showing hunt direction.
Pattern Type 3 - Exhaustion (Labeled as "SELL EXHAUST" or "BUY EXHAUST")
Detection Criteria: Lower wick is more than 2.5x the body size with volume above 1.8x average and RSI below 35 (sell exhaustion), OR upper wick more than 2.5x body size with volume above 1.8x average and RSI above 65 (buy exhaustion).
Interpretation: Large wicks with high volume and extreme RSI suggest aggressive buying or selling was met with equally aggressive rejection. This exhaustion often marks short-term extremes.
Visual: Label showing exhaustion type.
How These Contribute: When a divergence forms at a pivot AND one of these behavioral patterns is active, the confluence score increases by 20 points. This confirms the divergence is occurring during structural anomaly activity, not just normal price flow.
Limitation If Used Alone: These patterns can occur mid-trend and do not indicate direction without momentum context. Absorption in a strong uptrend may just be continuation accumulation.
LAYER 4 - CONFLUENCE SCORING MATRIX (Quality Weighting System)
Purpose: Translate all detected conditions into a single 0-100 quality score so you can objectively compare setups.
Scoring Breakdown:
Divergence Present: +30 points (primary signal)
Pressure Confirmation: +25 points (volume supports direction)
Behavioral Footprint Active: +20 points (structural anomaly present)
RSI Extreme: +15 points (RSI below 30 or above 70 at pivot)
Volume Spike: +10 points (current volume above 1.5x average)
Maximum Possible Score: 100 points
Why These Weights: The weights reflect reliability hierarchy based on backtesting observation. Divergence is the core signal (30 points), but without volume confirmation (25 points) many fail. Behavioral patterns add meaningful context (20 points). RSI extremes and volume spikes are secondary confirmations (15 and 10 points).
Quality Tiers:
90-100: TEXTBOOK (all factors aligned)
75-89: HIGH QUALITY (strong confluence)
60-74: VALID (meets minimum threshold)
Below 60: DEVELOPING (not displayed unless threshold lowered)
How It Contributes: The confluence score allows you to filter noise. You can set your minimum quality threshold in settings. Higher thresholds (75+) show fewer but higher-quality patterns. Lower thresholds (50-60) show more patterns but include lower-confidence setups. This teaches you to distinguish strong setups from weak ones.
Limitation: Confluence scoring is historical observation-based, not predictive guarantee. A 95-point setup can still fail. The score represents technical alignment, not future certainty.
WHY THIS COMBINATION WORKS TOGETHER
Each layer addresses a limitation in the others:
RSI Divergence identifies WHEN momentum is exhausting (timing)
Volume Pressure confirms WHETHER the exhaustion is accompanied by opposite-side accumulation (confirmation)
Behavioral Footprint shows IF structural anomalies support the reversal hypothesis (context)
Confluence Scoring weights ALL factors into an objective quality metric (filtering)
Using only RSI divergence gives you timing without confirmation. Using only volume pressure gives you intensity without directional context. Using only pattern detection gives you anomalies without trend exhaustion context. Using all four together creates a complete analytical framework where each layer compensates for the others' weaknesses.
This is not a mashup for the sake of combining indicators. It is a structured analytical system where each component has a defined role in a multi-dimensional market assessment process.
HOW TO READ THE INDICATOR - VISUAL ELEMENTS GUIDE
VMDM displays up to five visual layer types. You can enable or disable each layer independently in settings under "Visual Layers."
VISUAL LAYER 1 - MARKET STRUCTURE (Pivot Points and Lines)
What You See:
Small labels at swing highs and lows marked "PH" (Pivot High) and "PL" (Pivot Low) with horizontal dashed lines extending right from each pivot.
What It Means:
These are CONFIRMED pivots, not real-time. A pivot low appears AFTER the required right-side confirmation bars pass (default 3 bars). This creates a delay but prevents repainting. The pivot only appears once it is mathematically confirmed.
The horizontal lines represent support (from pivot lows) and resistance (from pivot highs) levels where price previously found significant rejection.
Color Coding:
Green label and line: Pivot Low (potential support)
Red label and line: Pivot High (potential resistance)
How To Use:
These pivots are the foundation for divergence detection. Divergence is only calculated between confirmed pivots, ensuring all signals are non-repainting. The lines help you see historical structure levels.
VISUAL LAYER 2 - PRESSURE ZONES (Background Color)
What You See:
Subtle background color shading on bars - light green or light red tint.
What It Means:
This visualizes volume pressure strength in real-time.
Color Coding:
Light Green Background: Pressure Strength above 70 (strong buying pressure - price closing near highs on volume)
Light Red Background: Pressure Strength below 30 (strong selling pressure - price closing near lows on volume)
No Color: Neutral pressure (pressure between 30-70)
How To Use:
When a bullish divergence pattern appears during green pressure zones, it suggests the divergence is forming during accumulation. When a bearish divergence appears during red zones, distribution is occurring. Pressure zones help you filter divergences - those forming in supportive pressure environments have higher probability.
VISUAL LAYER 3 - DIVERGENCE LINES (Dotted Connectors)
What You See:
Dotted lines connecting two pivot points (either two pivot lows or two pivot highs).
What It Means:
A divergence has been detected between those two pivots. The line connects the price pivots where RSI showed opposite behavior.
Color Coding:
Bright Green Line: Bullish divergence (regular or hidden)
Bright Red Line: Bearish divergence (regular or hidden)
How To Use:
The divergence line appears ONLY after the second pivot is confirmed (delayed by right-side confirmation bars). This is intentional to prevent repainting. When you see the line appear, it means:
For Bullish Regular Divergence:
Price made a lower low (second pivot lower than first)
RSI made a higher low (RSI at second pivot higher than first)
Interpretation: Downtrend losing momentum
For Bullish Hidden Divergence:
Price made a higher low (second pivot higher than first)
RSI made a lower low (RSI at second pivot lower than first)
Interpretation: Uptrend continuation likely (pullback within uptrend)
For Bearish Regular Divergence:
Price made a higher high (second pivot higher than first)
RSI made a lower high (RSI at second pivot lower than first)
Interpretation: Uptrend losing momentum
For Bearish Hidden Divergence:
Price made a lower high (second pivot lower than first)
RSI made a higher high (RSI at second pivot higher than first)
Interpretation: Downtrend continuation likely (bounce within downtrend)
If "Show Consolidated Analysis Label" is disabled, a small label will appear on the divergence line showing the divergence type abbreviation.
VISUAL LAYER 4 - BEHAVIORAL FOOTPRINT MARKERS
What You See:
Boxes, labels, and markers at specific bars showing pattern detection.
ABSORPTION ZONES (Boxes):
Colored rectangular boxes spanning one or more bars.
Purple Box: Accumulation absorption zone (high volume, tight range, bullish close)
Red Box: Distribution absorption zone (high volume, tight range, bearish close)
If absorption continues for multiple consecutive bars, the box extends and a counter appears in the label showing how many bars the absorption lasted.
What It Means: Large volume is being absorbed without significant price movement. This often precedes directional breakouts once the absorption phase completes.
STOP HUNT MARKERS (Labels):
Small labels below or above wicks labeled "BULL HUNT" or "BEAR HUNT" (may show bar count if consecutive).
What It Means:
BULL HUNT : Price spiked below recent lows then reversed back up on volume - likely triggered sell stops before reversing
BEAR HUNT : Price spiked above recent highs then reversed back down on volume - likely triggered buy stops before reversing
EXHAUSTION MARKERS (Labels):
Labels showing "SELL EXHAUST" or "BUY EXHAUST."
What It Means:
SELL EXHAUST : Large lower wick with high volume and low RSI - aggressive selling met with strong rejection
BUY EXHAUST : Large upper wick with high volume and high RSI - aggressive buying met with strong rejection
How To Use:
These markers help you identify WHERE structural anomalies occurred. When a divergence signal appears AT THE SAME TIME as one of these patterns, the confluence score increases. You are looking for alignment - divergence + behavioral pattern + pressure confirmation = high-quality setup.
VISUAL LAYER 5 - CONSOLIDATED ANALYSIS LABEL (Main Pattern Signal)
What You See:
A large label appearing at pivot points (or in real-time mode, at current bar) containing full pattern analysis.
Label Appearance:
Depending on your "Use Compact Label Format" setting:
COMPACT MODE (Single Line):
Example: "BULLISH REGULAR | Q:HIGH QUALITY C:82"
Breakdown:
BULLISH REGULAR: Divergence type detected
Q:HIGH QUALITY: Pattern quality tier
C:82: Confluence score (82 out of 100)
FULL MODE (Multi-Line Detailed):
Example:
PATTERN DETECTED
-------------------
BULLISH REGULAR
Quality: HIGH QUALITY
Price: Lower Low
Momentum: Higher Low
Signal: Weakening Downtrend
CONFLUENCE: 82/100
-------------------
Divergence: 30
Pressure: 25
Institutional: 20
RSI Extreme: 0
Volume: 10
Breakdown:
Top section: Pattern type and quality
Middle section: Divergence explanation (what price did vs what RSI did)
Bottom section: Confluence score with itemized breakdown showing which factors contributed
Label Position:
In Confirmed modes: Label appears AT the pivot point (delayed by confirmation bars)
In Real-time mode: Label appears at current bar as conditions develop
Label Color:
Gold: Textbook quality (90+ confluence)
Green: High quality (75-89 confluence)
Blue: Valid quality (60-74 confluence)
How To Use:
This is your primary decision-making label. When it appears:
Check the divergence type (regular divergences are reversal signals, hidden divergences are continuation signals)
Review the quality tier (textbook and high quality have better historical win rates)
Examine the confluence breakdown to see which factors are present and which are missing
Look at the chart context (trend, support/resistance, timeframe)
Use this information to assess whether the setup aligns with your strategy
The label does NOT tell you to buy or sell. It tells you a technical pattern has formed and provides the quality assessment. Your trading decision must incorporate risk management, market context, and your strategy rules.
UNDERSTANDING THE THREE DETECTION MODES
VMDM offers three signal detection modes in settings to accommodate different trading styles and learning objectives.
MODE 1: "Confluence Only (Real-Time)"
How It Works: Displays signals AS THEY DEVELOP on the current bar without waiting for pivot confirmation. The system calculates confluence score from pressure, volume, RSI extremes, and behavioral patterns. Divergence signals are NOT required in this mode.
Delay: ZERO - signals appear immediately.
Use Case: Real-time scanning for high-confluence zones without divergence requirement. Useful for intraday traders who want immediate alerts when multiple factors align.
Tradeoff: More frequent signals but includes setups without confirmed divergence. Higher false signal rate. Signals can change as the bar develops (not repainting in historical bars, but current bar updates).
Visual Behavior: Labels appear at the current bar. No divergence lines unless divergence happens to be present.
MODE 2: "Divergence + Confluence (Confirmed)" - DEFAULT RECOMMENDED
How It Works: Full system engagement. Signals appear ONLY when:
A pivot is confirmed (requires right-side confirmation bars to pass)
Divergence is detected between current pivot and previous pivot
Total confluence score meets or exceeds your minimum threshold
Delay: Equal to your "Pivot Right Bars" setting (default 3 bars). This means signals appear 3 bars AFTER the actual pivot formed.
Use Case: Highest-quality, non-repainting signals for swing traders and learners who want to study confirmed pattern completion.
Tradeoff: Delayed signals. You will not receive the signal until confirmation occurs. In fast-moving markets, price may have already moved significantly by the time the signal appears.
Visual Behavior: Labels appear at the historical pivot location (in the past). Divergence lines connect the two pivots. This is the most educational mode because it shows completed, confirmed patterns.
Non-Repainting Guarantee: Yes. Once a signal appears, it never disappears or changes.
MODE 3: "Divergence + Confluence (Relaxed)"
How It Works: Same as Confirmed mode but with adaptive thresholds. If confluence is very high (10 points above threshold), the signal may appear even if some factors are weak. If divergence is present but confluence is slightly below threshold (within 10 points), it may still appear.
Delay: Same as Confirmed mode (right-side confirmation bars).
Use Case: Slightly more signals than Confirmed mode for traders willing to accept near-threshold setups.
Tradeoff: More signals but lower average quality than Confirmed mode.
Visual Behavior: Same as Confirmed mode.
DASHBOARD GUIDE - READING THE METRICS
The dashboard appears in the corner of your chart (position selectable in settings) and provides real-time market state analysis.
You can choose between four dashboard detail levels in settings: Off, Compact, Optimized (default), Full.
DASHBOARD ROW EXPLANATIONS
ROW 1 - Header Information
Left: Current symbol and timeframe
Center: "VMDM "
Right: Version number
ROW 2 - Mode and Delay
Shows which detection mode you are using and the signal delay.
Example: "CONFIRMED | Delay: 3 bars"
This reminds you that signals in confirmed mode appear 3 bars after the pivot forms.
ROW 3 - Market Regime
Format: "TREND UP HV" or "RANGING NV"
First Part - Trend State:
TREND UP: 20 EMA above 50 EMA with strong separation
TREND DOWN: 20 EMA below 50 EMA with strong separation
RANGING: EMAs close together, low trend strength
TRANSITION: Between trending and ranging states
Second Part - Volatility State:
HV: High Volatility (current ATR more than 1.3x the 50-bar average ATR)
NV: Normal Volatility (current ATR between 0.7x and 1.3x average)
LV: Low Volatility (current ATR less than 0.7x average)
Third Column: Volatility ratio (example: "1.45x" means current ATR is 1.45 times normal)
How To Use: Regime context helps you interpret signals. Reversal divergences are more reliable in ranging or transitional regimes. Continuation divergences (hidden) are more reliable in trending regimes. High volatility means wider stops may be needed.
ROW 4 - Pressure
Shows current volume pressure state.
Format: "BUYING | ██████████░░░░░░░░░"
States:
BUYING : Pressure strength above 60 (closes near highs)
SELLING : Pressure strength below 40 (closes near lows)
NEUTRAL : Pressure strength between 40-60
Bar Visualization: Each block represents 10 percentile points. A full bar (10 filled blocks) = 100th percentile pressure.
Color: Green for buying, red for selling, gray for neutral.
How To Use: When pressure aligns with divergence direction (bullish divergence during buying pressure), confluence is stronger.
ROW 5 - Volume and RSI
Format: "1.8x | RSI 68 | OB"
First Value: Current volume ratio (1.8x = volume is 1.8 times the moving average)
Second Value: Current RSI reading
Third Value: RSI state
OB: Overbought (RSI above 70)
OS: Oversold (RSI below 30)
Blank: Neutral RSI
How To Use: Volume spikes (above 1.5x) during divergence formation add confluence. RSI extremes at pivots add confluence.
ROW 6 - Behavioral Footprint
Format: "BULL HUNT | 2 bars"
Shows the most recent behavioral pattern detected and how long ago.
States:
ACCUMULATION / DISTRIBUTION: Absorption detected
BULL HUNT / BEAR HUNT: Stop hunt detected
SELL EXHAUST / BUY EXHAUST: Exhaustion detected
SCANNING: No recent pattern
NOW: Pattern is active on current bar
How To Use: When footprint activity is recent (within 50 bars) or active now, it adds context to divergence signals forming in that area.
ROW 7 - Current Pattern
Shows the divergence type currently detected (if any).
Examples: "BULLISH REGULAR", "BEARISH HIDDEN", "Scanning..."
Quality: Shows pattern quality (TEXTBOOK, HIGH QUALITY, VALID)
How To Use: This tells you what type of signal is active. Regular divergences are reversal setups. Hidden divergences are continuation setups.
ROW 8 - Session Summary
Format: "14 events | A3 H8 E3"
First Value: Total institutional events this session
Breakdown:
A: Absorption events
H: Stop hunt events
E: Exhaustion events
How To Use: High event counts suggest an active, volatile session with frequent structural anomalies. Low counts suggest quiet, orderly price action.
ROW 9 - Confluence Score (Optimized/Full mode only)
Format: "78/100 | ████████░░"
Shows current real-time confluence score even if no pattern is confirmed yet.
How To Use: Watch this in real-time to see how close you are to pattern formation. When it exceeds your threshold and divergence forms, a signal will appear (after confirmation delay).
ROW 10 - Patterns Studied (Optimized/Full mode only)
Format: "47 patterns | 12 bars ago"
First Value: Total confirmed patterns detected since chart loaded
Second Value: How many bars since the last confirmed pattern appeared
How To Use: Helps you understand pattern frequency on your selected symbol and timeframe. If many bars have passed since last pattern, market may be trending without reversal opportunities.
ROW 11 - Bull/Bear Ratio (Optimized/Full mode only)
Format: "28:19 | BULL"
Shows count of bullish vs bearish patterns detected.
Balance:
BULL: More bullish patterns detected (suggests market has had more bullish reversals/continuations)
BEAR: More bearish patterns detected
BAL: Equal counts
How To Use: Extreme imbalances can indicate directional bias in the studied period. A heavily bullish ratio in a downtrend might suggest frequent failed rallies (bearish continuation). Context matters.
ROW 12 - Volume Ratio Detail (Optimized/Full mode only)
Shows current volume vs average volume in absolute terms.
Example: "1.4x | 45230 / 32300"
How To Use: Confirms whether current activity is above or below normal.
ROW 13 - Last Institutional Event (Full mode only)
Shows the most recent institutional pattern type and how many bars ago it occurred.
Example: "DISTRIBUTION | 23 bars"
How To Use: Tracks recency of last anomaly for context.
SETTINGS GUIDE - EVERY PARAMETER EXPLAINED
PERFORMANCE SECTION
Enable All Visuals (Master Toggle)
Default: ON
What It Does: Master kill switch for ALL visual elements (labels, lines, boxes, background colors, dashboard). When OFF, only plot outputs remain (invisible unless you open data window).
When To Change: Turn OFF on mobile devices, 1-second charts, or slow computers to improve performance. You can still receive alerts even with visuals disabled.
Impact: Dramatic performance improvement when OFF, but you lose all visual feedback.
Maximum Object History
Default: 50 | Range: 10-100
What It Does: Limits how many of each object type (labels, lines, boxes) are kept in memory. Older objects beyond this limit are deleted.
When To Change: Lower to 20-30 on fast timeframes (1-minute charts) to prevent slowdown. Increase to 100 on daily charts if you want more historical pattern visibility.
Impact: Lower values = better performance but less historical visibility. Higher values = more history visible but potential slowdown on fast timeframes.
Alert Cooldown (Bars)
Default: 5 | Range: 1-50
What It Does: Minimum number of bars that must pass before another alert of the same type can fire. Prevents alert spam when multiple patterns form in quick succession.
When To Change: Increase to 20+ on 1-minute charts to reduce noise. Decrease to 1-2 on daily charts if you want every pattern alerted.
Impact: Higher cooldown = fewer alerts. Lower cooldown = more alerts.
USER EXPERIENCE SECTION
Show Enhanced Tooltips
Default: ON
What It Does: Enables detailed hover-over tooltips on labels and visual elements.
When To Change: Turn OFF if you encounter Pine Script compilation errors related to tooltip arguments (rare, platform-specific issue).
Impact: Minimal. Just adds helpful hover text.
MARKET STRUCTURE DETECTION SECTION
Pivot Left Bars
Default: 3 | Range: 2-10
What It Does: Number of bars to the LEFT of the center bar that must be higher (for pivot low) or lower (for pivot high) than the center bar for a pivot to be valid.
Example: With value 3, a pivot low requires the center bar's low to be lower than the 3 bars to its left.
When To Change:
Increase to 5-7 on noisy timeframes (1-minute charts) to filter insignificant pivots
Decrease to 2 on slow timeframes (daily charts) to catch more pivots
Impact: Higher values = fewer, more significant pivots = fewer signals. Lower values = more frequent pivots = more signals but more noise.
Pivot Right Bars
Default: 3 | Range: 2-10
What It Does: Number of bars to the RIGHT of the center bar that must pass for confirmation. This creates the non-repainting delay.
Example: With value 3, a pivot is confirmed 3 bars AFTER it forms.
When To Change:
Increase to 5-7 for slower, more confirmed signals (better for swing trading)
Decrease to 2 for faster signals (better for intraday, but still non-repainting)
Impact: Higher values = longer delay but more reliable confirmation. Lower values = faster signals but less confirmation. This setting directly controls your signal delay in Confirmed and Relaxed modes.
Minimum Confluence Score
Default: 60 | Range: 40-95
What It Does: The threshold score required for a pattern to be displayed. Patterns with confluence scores below this threshold are not shown.
When To Change:
Increase to 75+ if you only want high-quality textbook setups (fewer signals)
Decrease to 50-55 if you want to see more developing patterns (more signals, lower average quality)
Impact: This is your primary signal filter. Higher threshold = fewer, higher-quality signals. Lower threshold = more signals but includes weaker setups. Recommended starting point is 60-65.
TECHNICAL PERIODS SECTION
RSI Period
Default: 14 | Range: 5-50
What It Does: Lookback period for RSI calculation.
When To Change:
Decrease to 9-10 for faster, more sensitive RSI that detects shorter-term momentum changes
Increase to 21-28 for slower, smoother RSI that filters noise
Impact: Lower values make RSI more volatile (more frequent extremes and divergences). Higher values make RSI smoother (fewer but more significant divergences). 14 is industry standard.
Volume Moving Average Period
Default: 20 | Range: 10-200
What It Does: Lookback period for calculating average volume. Current volume is compared to this average to determine volume ratio.
When To Change:
Decrease to 10-14 for shorter-term volume comparison (more sensitive to recent volume changes)
Increase to 50-100 for longer-term volume comparison (smoother, less sensitive)
Impact: Lower values make volume ratio more volatile. Higher values make it more stable. 20 is standard.
ATR Period
Default: 14 | Range: 5-100
What It Does: Lookback period for Average True Range calculation used for volatility measurement and label positioning.
When To Change: Rarely needs adjustment. Use 7-10 for faster volatility response, 21-28 for slower.
Impact: Affects volatility ratio calculation and visual label spacing. Minimal impact on signals.
Pressure Percentile Lookback
Default: 50 | Range: 10-300
What It Does: Lookback period for calculating volume pressure percentile ranking. Your current pressure is ranked against the pressure of the last X bars.
When To Change:
Decrease to 20-30 for shorter-term pressure context (more responsive to recent changes)
Increase to 100-200 for longer-term pressure context (smoother rankings)
Impact: Lower values make pressure strength more sensitive to recent bars. Higher values provide more stable, long-term pressure assessment. Capped at 300 for performance reasons.
SIGNAL DETECTION SECTION
Signal Detection Mode
Default: "Divergence + Confluence (Confirmed)"
Options:
Confluence Only (Real-time)
Divergence + Confluence (Confirmed)
Divergence + Confluence (Relaxed)
What It Does: Selects which detection logic mode to use (see "Understanding The Three Detection Modes" section above).
When To Change: Use Confirmed for learning and non-repainting signals. Use Real-time for live scanning without divergence requirement. Use Relaxed for slightly more signals than Confirmed.
Impact: Fundamentally changes when and how signals appear.
VISUAL LAYERS SECTION
All toggles default to ON. Each controls visibility of one visual layer:
Show Market Structure: Pivot markers and support/resistance lines
Show Pressure Zones: Background color shading
Show Divergence Lines: Dotted lines connecting pivots
Show Institutional Footprint Markers: Absorption boxes, hunt labels, exhaustion labels
Show Consolidated Analysis Label: Main pattern detection label
Use Compact Label Format
Default: OFF
What It Does: Switches consolidated label between single-line compact format and multi-line detailed format.
When To Change: Turn ON if you find full labels too large or distracting.
Impact: Visual clarity vs. information density tradeoff.
DASHBOARD SECTION
Dashboard Mode
Default: "Optimized"
Options: Off, Compact, Optimized, Full
What It Does: Controls how much information the dashboard displays.
Off: No dashboard
Compact: 8 rows (essential metrics only)
Optimized: 12 rows (recommended balance)
Full: 13 rows (every available metric)
Dashboard Position
Default: "Top Right"
Options: Top Right, Top Left, Bottom Right, Bottom Left
What It Does: Screen corner where dashboard appears.
HOW TO USE VMDM - PRACTICAL WORKFLOW
STEP 1 - INITIAL SETUP
Add VMDM to your chart
Select your detection mode (Confirmed recommended for learning)
Set your minimum confluence score (start with 60-65)
Adjust pivot parameters if needed (default 3/3 is good for most timeframes)
Enable the visual layers you want to see
STEP 2 - CHART ANALYSIS
Let the indicator load and analyze historical data
Review the patterns that appear historically
Examine the confluence scores - notice which patterns had higher scores
Observe which patterns occurred during supportive pressure zones
Notice the divergence line connections - understand what price vs RSI did
STEP 3 - PATTERN RECOGNITION LEARNING
When a consolidated analysis label appears:
Read the divergence type (regular or hidden, bullish or bearish)
Check the quality tier (textbook, high quality, or valid)
Review the confluence breakdown - which factors contributed
Look at the chart context - where is price relative to structure, trend, etc.
Observe the behavioral footprint markers nearby - do they support the pattern
STEP 4 - REAL-TIME MONITORING
Watch the dashboard for real-time regime and pressure state
Monitor the current confluence score in the dashboard
When it approaches your threshold, be alert for potential pattern formation
When a new pattern appears (after confirmation delay), evaluate it using the workflow above
Use your trading strategy rules to decide if the setup aligns with your criteria
STEP 5 - POST-PATTERN OBSERVATION
After a pattern appears:
Mark the level on your chart
Observe what price does after the pattern completes
Did price respect the reversal/continuation signal
What was the confluence score of patterns that worked vs. those that failed
Learn which quality tiers and confluence levels produce better results on your specific symbol and timeframe
RECOMMENDED TIMEFRAMES AND ASSET CLASSES
VMDM is timeframe-agnostic and works on any asset with volume data. However, optimal performance varies:
BEST TIMEFRAMES
15-Minute to 1-Hour: Ideal balance of signal frequency and reliability. Pivot confirmation delay is acceptable. Sufficient volume data for pressure analysis.
4-Hour to Daily: Excellent for swing trading. Very high-quality signals. Lower frequency but higher significance. Recommended for learning because patterns are clearer.
1-Minute to 5-Minute: Works but requires adjustment. Increase pivot bars to 5-7 for filtering. Decrease max object history to 30 for performance. Expect more noise.
Weekly/Monthly: Works but very infrequent signals. Increase confluence threshold to 70+ to ensure only major patterns appear.
BEST ASSET CLASSES
Forex Majors: Excellent volume data and clear trends. Pressure analysis works well.
Crypto (Major Pairs): Good volume data. High volatility makes divergences more pronounced. Works very well.
Stock Indices (SPY, QQQ, etc.): Excellent. Clean price action and reliable volume.
Individual Stocks: Works well on high-volume stocks. Low-volume stocks may produce unreliable pressure readings.
Commodities (Gold, Oil, etc.): Works well. Clear trends and reactions.
WHAT THIS INDICATOR CANNOT DO - LIMITATIONS
LIMITATION 1 - It Does Not Predict The Future
VMDM identifies when technical conditions align historically associated with potential reversals or continuations. It does not predict what will happen next. A textbook 95-confluence pattern can still fail if fundamental events, news, or larger timeframe structure override the setup.
LIMITATION 2 - Confirmation Delay Means You Miss Early Entry
In Confirmed and Relaxed modes, the non-repainting design means you receive signals AFTER the pivot is confirmed. Price may have already moved significantly by the time you receive the signal. This is the tradeoff for non-repainting reliability. You can use Real-time mode for faster signals but sacrifice divergence confirmation.
LIMITATION 3 - It Does Not Tell You Position Sizing or Risk Management
VMDM provides technical pattern analysis. It does not calculate stop loss levels, take profit targets, or position sizing. You must apply your own risk management rules. Never risk more than you can afford to lose based on a technical signal.
LIMITATION 4 - Volume Pressure Analysis Requires Reliable Volume Data
On assets with thin volume or unreliable volume reporting, pressure analysis may be inaccurate. Stick to major liquid assets with consistent volume data.
LIMITATION 5 - It Cannot Detect Fundamental Events
VMDM is purely technical. It cannot predict earnings reports, central bank decisions, geopolitical events, or other fundamental catalysts that can override technical patterns.
LIMITATION 6 - Divergence Requires Two Pivots
The indicator cannot detect divergence until at least two pivots of the same type have formed. In strong trends without pullbacks, you may go long periods without signals.
LIMITATION 7 - Institutional Pattern Names Are Interpretive
The behavioral footprint patterns are named using common trading education terminology, but they are detected through technical analysis, not actual institutional data access. The patterns are interpretations based on price and volume behavior.
CONCEPT FOUNDATION - WHY THIS APPROACH WORKS
MARKET PRINCIPLE 1 - Momentum Divergence Precedes Price Reversal
Price is the final output of market forces, but momentum (the rate of change in those forces) shifts first. When price makes a new low but the momentum behind that move is weaker (higher RSI low), it signals that sellers are losing strength even though they temporarily pushed price lower. This precedes reversal. This is a fundamental principle in technical analysis taught by Charles Dow, widely observed in market behavior.
MARKET PRINCIPLE 2 - Volume Reveals Conviction
Price can move on low volume (low conviction) or high volume (high conviction). When price makes a new low on declining volume while RSI shows improving momentum, it suggests the new low is not confirmed by participant conviction. Adding volume pressure analysis to momentum divergence adds a confirmation layer that filters false divergences.
MARKET PRINCIPLE 3 - Anomalies Mark Structural Extremes
When volume spikes significantly but range contracts (absorption), or when price spikes beyond structure then reverses (stop hunt), or when aggressive moves are met with large-wick rejection (exhaustion), these anomalies often mark short-term extremes. Combining these structural observations with momentum analysis creates context.
MARKET PRINCIPLE 4 - Confluence Improves Probability
No single technical factor is reliable in isolation. RSI divergence alone fails frequently. Volume analysis alone cannot time entries. Combining multiple independent factors into a weighted system increases the probability that observed patterns have structural significance rather than random noise.
THE EDUCATIONAL VALUE
By visualizing all four layers simultaneously and breaking down the confluence scoring transparently, VMDM teaches you to think in terms of multi-dimensional analysis rather than single-indicator reliance. Over time, you will learn to recognize these patterns manually and understand which combinations produce better results on your traded assets.
INSTITUTIONAL TERMINOLOGY - IMPORTANT CLARIFICATION
This indicator uses the following terms that are common in trading education:
Institutional Footprint
Absorption (Accumulation / Distribution)
Stop Hunt
Exhaustion
CRITICAL DISCLAIMER:
These terms are EDUCATIONAL LABELS for specific price action and volume behavior patterns detected through technical analysis of publicly available chart data (open, high, low, close, volume). This indicator does NOT have access to:
Actual institutional order flow or order book data
Market maker positions or intentions
Broker stop-loss databases
Non-public trading data
Proprietary institutional information
The patterns labeled as "institutional footprint" are interpretations based on observable price and volume behavior that educational trading literature often associates with potential large-participant activity. The detection is algorithmic pattern recognition, not privileged data access.
When this indicator identifies "absorption," it means it detected high volume within a small range - a condition that MAY indicate large orders being filled but is not confirmation of actual institutional participation.
When it identifies a "stop hunt," it means price briefly penetrated a structural level then reversed - a pattern that MAY have triggered stop losses but is not confirmation that stops were specifically targeted.
When it identifies "exhaustion," it means high volume with large rejection wicks - a pattern that MAY indicate aggressive participation meeting strong opposition but is not confirmation of institutional involvement.
These are technical analysis interpretations, not factual statements about market participant identity or intent.
DISCLAIMER AND RISK WARNING
EDUCATIONAL PURPOSE ONLY
This indicator is designed as an educational tool to help traders learn to recognize technical patterns, understand multi-factor analysis, and practice systematic market observation. It is NOT a trading system, signal service, or financial advice.
NO PERFORMANCE GUARANTEE
Past pattern behavior does not guarantee future results. A pattern that historically preceded price movement in one direction may fail in the future due to changing market conditions, fundamental events, or random variance. Confluence scores reflect historical technical alignment, not future certainty.
TRADING INVOLVES SUBSTANTIAL RISK
Trading financial instruments involves substantial risk of loss. You can lose more than your initial investment. Never trade with money you cannot afford to lose. Always use proper risk management including stop losses, position sizing, and portfolio diversification.
NO PREDICTIVE CLAIMS
This indicator does NOT predict future price movement. It identifies when technical conditions align in patterns that historically have been associated with potential reversals or continuations. Market behavior is probabilistic, not deterministic.
BACKTESTING LIMITATIONS
If you backtest trading strategies using this indicator, ensure you account for:
Realistic commission costs
Realistic slippage (difference between signal price and actual fill price)
Sufficient sample size (minimum 100 trades for statistical relevance)
Reasonable position sizing (risking no more than 1-2 percent of account per trade)
The confirmation delay inherent in the indicator (you cannot enter at the exact pivot in Confirmed mode)
Backtests that do not account for these factors will produce unrealistic results.
AUTHOR LIABILITY
The author (BullByte) is not responsible for any trading losses incurred using this indicator. By using this indicator, you acknowledge that all trading decisions are your sole responsibility and that you understand the risks involved.
NOT FINANCIAL ADVICE
Nothing in this indicator, its code, its description, or its visual outputs constitutes financial, investment, or trading advice. Consult a licensed financial advisor before making investment decisions.
FREQUENTLY ASKED QUESTIONS
Q: Why do signals appear in the past, not at the current bar
A: In Confirmed and Relaxed modes, signals appear at confirmed pivots, which requires waiting for right-side confirmation bars (default 3). This creates a delay but prevents repainting. Use Real-time mode if you want current-bar signals without pivot confirmation.
Q: Can I use this for automated trading
A: You can create alert-based automation, but understand that Confirmed mode signals appear AFTER the pivot with delay, so your entry will not be at the pivot price. Real-time mode signals can change as the current bar develops. Automation requires careful consideration of these factors.
Q: How do I know which confluence score to use
A: Start with 60. Observe which patterns work on your symbol/timeframe. If too many false signals, increase to 70-75. If too few signals, decrease to 55. Quality vs. quantity tradeoff.
Q: Do regular divergences mean I should enter a reversal trade immediately
A: No. Regular divergences indicate momentum exhaustion, which is a WARNING sign that trend may reverse, not a confirmation that it will. Use confluence score, market context, support/resistance, and your strategy rules to make entry decisions. Many divergences fail.
Q: What's the difference between regular and hidden divergence
A: Regular divergence = price and momentum move in opposite directions at extremes = potential reversal signal. Hidden divergence = price and momentum move in opposite directions during pullbacks = potential continuation signal. Hidden divergence suggests the pullback is just a correction within the larger trend.
Q: Why does the pressure zone color sometimes conflict with the divergence direction
A: Pressure is real-time current bar analysis. Divergence is confirmed pivot analysis from the past. They measure different things at different times. A bullish divergence confirmed 3 bars ago might appear during current selling pressure. This is normal.
Q: Can I use this on stocks without volume data
A: No. Volume is required for pressure analysis and behavioral pattern detection. Use only on assets with reliable volume reporting.
Q: How often should I expect signals
A: Depends on timeframe and settings. Daily charts might produce 5-10 signals per month. 1-hour charts might produce 20-30. 15-minute charts might produce 50-100. Adjust confluence threshold to control frequency.
Q: Can I modify the code
A: Yes, this is open source. You can modify for personal use. If you publish a modified version, please credit the original and ensure your publication meets TradingView guidelines.
Q: What if I disagree with a pattern's confluence score
A: The scoring weights are based on general observations and may not suit your specific strategy or asset. You can modify the code to adjust weights if you have data-driven reasons to do so.
Final Notes
VMDM - Volume, Momentum and Divergence Master is an educational multi-layer market analysis system designed to teach systematic pattern recognition through transparent, confluence-weighted signal detection. By combining RSI momentum divergence, volume pressure quantification, behavioral footprint pattern recognition, and quality scoring into a unified framework, it provides a comprehensive learning environment for understanding market structure.
Use this tool to develop your analytical skills, understand how multiple technical factors interact, and learn to distinguish high-quality setups from noise. Remember that technical analysis is probabilistic, not predictive. No indicator replaces proper education, risk management, and trading discipline.
Trade responsibly. Learn continuously. Risk only what you can afford to lose.
-BullByte
MACDiver — From axis v1.1MACDiver Indicator
A Pine Script indicator that identifies bullish and bearish divergences between price action and the MACD oscillator. It uses pivot highs/lows in both price and MACD series to detect potential reversal signals. When price makes higher highs (or lower lows) while MACD makes lower highs (or higher lows), the indicator marks these divergences with lines and labels on the chart, providing potential trading signals.
ChronoFlow## ChronoFlow Sentinel
ChronoFlow Sentinel is a regime console that blends normalized fast/mid/slow regression slopes, phases them against a dual-speed EMA spread, and grades alignment so you instantly know whether the time stack is trending, rotating, or fighting itself.
HOW IT WORKS
Multi-Timeframe Slopes – Linear regression slopes are fetched via request.security() for your chosen fast, mid, and slow frames.
Normalized Weighting – User weights are rescaled so the composite chrono score is always on a consistent scale, regardless of configuration.
Phase Differential – The indicator subtracts a slow EMA from a fast EMA to detect whether price impulse confirms the slope mix.
Alignment Score – Signs of the three slopes are compared to compute a 0-1 alignment metric; backgrounds and alerts use this to signal confidence vs. chop.
Diagnostics Console – A bottom-right table streams each slope, the blended score, and which timeframe currently dominates.
HOW TO USE IT
Trend Qualification : Only push multi-contract positions when chrono score is positive, phase is positive, and alignment stays above your alert threshold (default 0.66).
Chop Defense : When alignment dips and conflict markers appear, immediately switch into mean-reversion tactics or sit flat.
Swing + Intraday Bridge : Pair ChronoFlow with other structure tools; require both aligned backgrounds and price confirmation before committing to swing entries.
CRYPTOCAP:SOL | CRYPTOCAP:XRP side by side view with ChronoFlow
VISUAL FEATURES
Optional flow curves: Enable Plot Raw Flows to audit each timeframe's slope when troubleshooting a signal.
Background intensity: Opacity auto-adjusts with alignment, so weak trends look faded while strong regimes glow vividly.
Signal/Conflict toggles: Long/short and chop markers are opt-in, keeping the panel pristine until you need annotations.
Conflict alerts: Built-in alert condition fires whenever alignment falls below your threshold, warning execution layers to scale down risk.
PARAMETERS
Fast Frame (default: 30): Fast timeframe for regression slope calculation.
Mid Frame (default: 120): Mid timeframe for regression slope calculation.
Slow Frame (default: D): Slow timeframe for regression slope calculation.
Fast Regression (default: 21): Regression length for fast timeframe.
Mid Regression (default: 34): Regression length for mid timeframe.
Slow Regression (default: 55): Regression length for slow timeframe.
Phase Length (default: 13): EMA period for phase differential calculation.
Fast Weight (default: 0.45): Influence of the fast timeframe in the composite score.
Mid Weight (default: 0.35): Influence of the mid timeframe in the composite score.
Slow Weight (default: 0.20): Influence of the slow timeframe in the composite score.
Plot Raw Flows (default: disabled): Enable to audit each timeframe's slope when troubleshooting.
Show Signal Labels (default: disabled): Toggle long/short signal markers.
Show Conflict Labels (default: disabled): Toggle conflict/chop markers.
Conflict Alert Level (default: 0.66): Set the alignment threshold that should trigger reduced size or flat positioning.
ALERTS
The indicator includes three alert conditions:
ChronoFlow Bullish: Detected a bullish regime shift
ChronoFlow Bearish: Detected a bearish regime shift
ChronoFlow Conflict: Flagged a low-alignment regime
LIMITATIONS
This indicator requires access to multiple timeframes via request.security() , which may consume additional resources. The alignment score is a simplified metric—real market conditions are more complex than a 0-1 scale can capture. The phase differential calculation assumes EMA spreads are meaningful proxies for momentum, which may not hold in all market regimes. Users should test parameter combinations on their specific instruments and timeframes, as default values are optimized for typical index futures trading.
---
MACDiver — рабочая версия (fixed loops)MACDiver Indicator
A Pine Script indicator that identifies bullish and bearish divergences between price action and the MACD oscillator. It uses pivot highs/lows in both price and MACD series to detect potential reversal signals. When price makes higher highs (or lower lows) while MACD makes lower highs (or higher lows), the indicator marks these divergences with lines and labels on the chart, providing potential trading signals.
TF7 Option vs Index Change RatioOverview
This indicator helps traders visualise the strength and direction of an option's price movement compared to its underlying index (NIFTY or SENSEX).
It calculates a Change Ratio, which is the percentage move in the option compared to the index movement during the same bar. This is especially useful for intraday traders looking for signs of momentum, divergence, or unusual strength/weakness in option pricing.
How It Works
The ratio is calculated as:
(Option LTP − Option Open) / (Index Close − Index Open)
The value is capped between −10 and +10 to filter out extreme or invalid spikes.
The ratio is displayed as a color-coded column chart:
🟩 Green bars: Option is moving in the same direction as the index.
🟥 Red bars: Option is underperforming or moving opposite to the index.
A compact table shows the last 5 bars of:
Option price change (with +/− sign)
Index price change
Calculated ratio (also color-coded)
You can toggle the table visibility in the settings.
Inputs & Features
Select underlying index: NIFTY or SENSEX
Toggle the data table display
Clean formatting with signed values and conditional color highlights
⚠️ Disclaimer
This is a visual analysis tool, not a buy/sell signal. Always validate with your trading strategy and risk management
#OptionsTrading, #NIFTY, #SENSEX, #ChangeRatio, #IndexAnalysis, #Momentum, #Divergence, #Intraday
Q2A_CandlestickPatterns# Q2A Candlestick Patterns Library
A comprehensive Pine Script v6 library for detecting 44 candlestick patterns with trend detection and property calculations.
## 📋 Overview
The **Q2A_CandlestickPatterns** library provides a complete toolkit for identifying traditional Japanese candlestick patterns in TradingView. It includes both reversal and continuation patterns, organized by the number of candles required (1, 2, 3, and 5 candles).
### Key Features
- ✅ **44 Pattern Detection Functions** - Comprehensive coverage of major candlestick patterns
- ✅ **Organized by Candle Count** - Easy navigation (1, 2, 3, and 5 candle patterns)
- ✅ **Bullish/Bearish/Neutral Classification** - Clear signal categorization
- ✅ **Detailed Pattern Descriptions** - Each pattern returns name, type, and explanation
- ✅ **Property Calculation Helper** - Core function for analyzing candle characteristics
- ✅ **Clean Q2A Code Style** - Professional, maintainable, and well-documented
## 🚀 Quick Start
### Installation
```pinescript
import Quant2Alpha/Q2A_CandlestickPatterns/1 as candlePatterns
```
### Basic Usage Example
```pinescript
//@version=6
indicator("Candlestick Pattern Detector", overlay=true)
import Quant2Alpha/Q2A_CandlestickPatterns/1 as cp
// Calculate candle properties
= cp.calculateCandleProperties(open, close, high, low, ta.ema(close - open, 14), 5.0, 10.0, 10.0)
// Define trend
upTrend = close > ta.sma(close, 50)
downTrend = close < ta.sma(close, 50)
// Detect patterns
= cp.detectHammerBullish(smallBody, body, bodyLo, hl2, dnShadow, 2.0, hasUpShadow, downTrend)
= cp.detectShootingStarBearish(smallBody, body, bodyHi, hl2, upShadow, 2.0, hasDnShadow, upTrend)
// Visualize
if hammerDetected
label.new(bar_index, low, hammerName, style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small, tooltip=hammerDesc)
if shootingStarDetected
label.new(bar_index, high, shootingStarName, style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small, tooltip=shootingStarDesc)
```
## 📚 Library Structure
### Core Function
#### `calculateCandleProperties()`
Calculates essential candlestick properties for pattern detection.
**Parameters:**
- `p_open`, `p_close`, `p_high`, `p_low` - OHLC prices
- `bodyAvg` - Average body size (e.g., EMA of body sizes)
- `shadowPercent` - Minimum shadow size as % of body (typically 5.0)
- `shadowEqualsPercent` - Tolerance for equal shadows (typically 10.0)
- `dojiBodyPercent` - Max body size as % of range for doji (typically 10.0)
**Returns:** 17 properties including body dimensions, shadows, and candle characteristics
## 📊 Available Patterns
### Single Candle Patterns (13 patterns)
#### Bullish (5)
| Pattern | Function | Description |
| --------------------- | -------------------------------- | ----------------------------------------------------------- |
| **Hammer** | `detectHammerBullish()` | Small body at top, long lower shadow, forms in downtrend |
| **Inverted Hammer** | `detectInvertedHammerBullish()` | Small body at bottom, long upper shadow, forms in downtrend |
| **Marubozu White** | `detectMarubozuWhiteBullish()` | Long green body with little to no shadows |
| **Long Lower Shadow** | `detectLongLowerShadowBullish()` | Lower shadow is 75%+ of total range |
| **Dragonfly Doji** | `detectDragonflyDojiBullish()` | Doji with long lower shadow, no upper shadow |
#### Bearish (5)
| Pattern | Function | Description |
| --------------------- | -------------------------------- | --------------------------------------------------------- |
| **Hanging Man** | `detectHangingManBearish()` | Small body at top, long lower shadow, forms in uptrend |
| **Shooting Star** | `detectShootingStarBearish()` | Small body at bottom, long upper shadow, forms in uptrend |
| **Marubozu Black** | `detectMarubozuBlackBearish()` | Long red body with little to no shadows |
| **Long Upper Shadow** | `detectLongUpperShadowBearish()` | Upper shadow is 75%+ of total range |
| **Gravestone Doji** | `detectGravestoneDojiBearish()` | Doji with long upper shadow, no lower shadow |
#### Neutral (3)
| Pattern | Function | Description |
| ---------------------- | -------------------------- | --------------------------------------------- |
| **Doji** | `detectDoji()` | Open equals close, indicates indecision |
| **Spinning Top White** | `detectSpinningTopWhite()` | Small green body with long shadows both sides |
| **Spinning Top Black** | `detectSpinningTopBlack()` | Small red body with long shadows both sides |
### Two Candle Patterns (15 patterns)
#### Bullish (7)
| Pattern | Function | Description |
| ------------------------ | ------------------------------ | ------------------------------------------------------ |
| **Rising Window** | `detectRisingWindowBullish()` | Gap up between two candles in uptrend |
| **Tweezer Bottom** | `detectTweezerBottomBullish()` | Two candles with identical lows in downtrend |
| **Piercing** | `detectPiercingBullish()` | Green candle closes above midpoint of prior red candle |
| **Doji Star Bullish** | `detectDojiStarBullish()` | Doji gaps down after red candle in downtrend |
| **Engulfing Bullish** | `detectEngulfingBullish()` | Large green candle engulfs prior small red candle |
| **Harami Bullish** | `detectHaramiBullish()` | Small green candle contained in prior large red candle |
| **Harami Cross Bullish** | `detectHaramiCrossBullish()` | Doji contained in prior large red candle |
#### Bearish (8)
| Pattern | Function | Description |
| ------------------------ | ------------------------------- | ------------------------------------------------------ |
| **On Neck** | `detectOnNeckBearish()` | Small green closes near prior red candle's low |
| **Falling Window** | `detectFallingWindowBearish()` | Gap down between two candles in downtrend |
| **Tweezer Top** | `detectTweezerTopBearish()` | Two candles with identical highs in uptrend |
| **Dark Cloud Cover** | `detectDarkCloudCoverBearish()` | Red candle closes below midpoint of prior green candle |
| **Doji Star Bearish** | `detectDojiStarBearish()` | Doji gaps up after green candle in uptrend |
| **Engulfing Bearish** | `detectEngulfingBearish()` | Large red candle engulfs prior small green candle |
| **Harami Bearish** | `detectHaramiBearish()` | Small red candle contained in prior large green candle |
| **Harami Cross Bearish** | `detectHaramiCrossBearish()` | Doji contained in prior large green candle |
### Three Candle Patterns (14 patterns)
#### Bullish (7)
| Pattern | Function | Description |
| -------------------------- | ----------------------------------- | ------------------------------------------------ |
| **Upside Tasuki Gap** | `detectUpsideTasukiGapBullish()` | Three candles with gap that fails to close |
| **Morning Doji Star** | `detectMorningDojiStarBullish()` | Red, gapped doji, green - stronger morning star |
| **Morning Star** | `detectMorningStarBullish()` | Red, small middle, green - classic reversal |
| **Three White Soldiers** | `detectThreeWhiteSoldiersBullish()` | Three consecutive long green candles |
| **Abandoned Baby Bullish** | `detectAbandonedBabyBullish()` | Doji gaps away from both surrounding candles |
| **Tri-Star Bullish** | `detectTriStarBullish()` | Three dojis with gaps between them |
| **Kicking Bullish** | `detectKickingBullish()` | Black marubozu followed by gapped white marubozu |
#### Bearish (7)
| Pattern | Function | Description |
| -------------------------- | ---------------------------------- | ------------------------------------------------ |
| **Downside Tasuki Gap** | `detectDownsideTasukiGapBearish()` | Three candles with gap that fails to close |
| **Evening Doji Star** | `detectEveningDojiStarBearish()` | Green, gapped doji, red - stronger evening star |
| **Evening Star** | `detectEveningStarBearish()` | Green, small middle, red - classic reversal |
| **Three Black Crows** | `detectThreeBlackCrowsBearish()` | Three consecutive long red candles |
| **Abandoned Baby Bearish** | `detectAbandonedBabyBearish()` | Doji gaps away from both surrounding candles |
| **Tri-Star Bearish** | `detectTriStarBearish()` | Three dojis with gaps between them |
| **Kicking Bearish** | `detectKickingBearish()` | White marubozu followed by gapped black marubozu |
### Five Candle Patterns (2 patterns)
#### Bullish (1)
| Pattern | Function | Description |
| ------------------------ | ----------------------------------- | ----------------------------------------------------- |
| **Rising Three Methods** | `detectRisingThreeMethodsBullish()` | Long green, three small reds inside range, long green |
#### Bearish (1)
| Pattern | Function | Description |
| ------------------------- | ------------------------------------ | --------------------------------------------------- |
| **Falling Three Methods** | `detectFallingThreeMethodsBearish()` | Long red, three small greens inside range, long red |
## 💡 Advanced Usage Examples
### Multi-Pattern Strategy
```pinescript
//@version=6
strategy("Multi-Pattern Strategy", overlay=true)
import Quant2Alpha/Q2A_CandlestickPatterns/1 as cp
// Setup
bodyAvg = ta.ema(math.abs(close - open), 14)
= cp.calculateCandleProperties(open, close, high, low, bodyAvg, 5.0, 10.0, 10.0)
// Trends
sma50 = ta.sma(close, 50)
sma200 = ta.sma(close, 200)
upTrend = close > sma50 and sma50 > sma200
downTrend = close < sma50 and sma50 < sma200
// Detect bullish patterns
= cp.detectHammerBullish(smallBody, body, bodyLo, hl2, dnShadow, 2.0, hasUpShadow, downTrend)
= cp.detectEngulfingBullish(downTrend, whiteBody, longBody, blackBody, smallBody, close, open)
= cp.detectMorningStarBullish(longBody, smallBody, downTrend, blackBody, whiteBody, bodyHi, bodyLo, bodyMiddle)
// Detect bearish patterns
= cp.detectShootingStarBearish(smallBody, body, bodyHi, hl2, upShadow, 2.0, hasDnShadow, upTrend)
= cp.detectDarkCloudCoverBearish(upTrend, whiteBody, longBody, blackBody, open, high, close, bodyMiddle)
= cp.detectEveningStarBearish(longBody, smallBody, upTrend, whiteBody, blackBody, bodyLo, bodyHi, bodyMiddle)
// Entry signals
bullishSignal = hammer or engulfing or morningStar
bearishSignal = shootingStar or darkCloud or eveningStar
// Execute trades
if bullishSignal and strategy.position_size == 0
strategy.entry("Long", strategy.long)
if bearishSignal and strategy.position_size > 0
strategy.close("Long")
```
### Pattern Scanner Indicator
```pinescript
//@version=6
indicator("Pattern Scanner", overlay=true)
import Quant2Alpha/Q2A_CandlestickPatterns/1 as cp
// Configuration
showBullish = input.bool(true, "Show Bullish Patterns")
showBearish = input.bool(true, "Show Bearish Patterns")
showNeutral = input.bool(false, "Show Neutral Patterns")
// Calculate properties
bodyAvg = ta.ema(math.abs(close - open), 14)
= cp.calculateCandleProperties(open, close, high, low, bodyAvg, 5.0, 10.0, 10.0)
// Trends
upTrend = close > ta.sma(close, 50)
downTrend = close < ta.sma(close, 50)
// Scan for all patterns and display
// (Add pattern detection and visualization logic here)
```
## 🔧 Configuration Best Practices
### Recommended Parameter Values
| Parameter | Typical Value | Description |
| ---------------------- | ----------------------------- | ------------------------------- |
| `bodyAvg` | `ta.ema(abs(close-open), 14)` | 14-period EMA of body size |
| `shadowPercent` | `5.0` | 5% of body for shadow detection |
| `shadowEqualsPercent` | `10.0` | 10% tolerance for equal shadows |
| `dojiBodyPercent` | `10.0` | Body ≤10% of range = doji |
| `factor` (hammer/star) | `2.0` | Shadow should be 2x body size |
### Trend Definition
```pinescript
// Simple SMA crossover
upTrend = close > ta.sma(close, 50)
downTrend = close < ta.sma(close, 50)
// Double SMA confirmation
upTrend = close > ta.sma(close, 50) and ta.sma(close, 50) > ta.sma(close, 200)
downTrend = close < ta.sma(close, 50) and ta.sma(close, 50) < ta.sma(close, 200)
// EMA trend
upTrend = close > ta.ema(close, 20)
downTrend = close < ta.ema(close, 20)
```
## 📖 Function Return Format
All pattern detection functions return a tuple with 4 elements:
```pinescript
```
- **detected** (bool) - `true` if pattern is found, `false` otherwise
- **name** (string) - Pattern name (e.g., "Hammer", "Shooting Star")
- **type** (string) - "Bullish", "Bearish", or "Neutral"
- **description** (string) - Detailed explanation of the pattern
### Example
```pinescript
= cp.detectHammerBullish(...)
if isHammer
log.info("Pattern: " + patternName) // "Hammer"
log.info("Type: " + patternType) // "Bullish"
log.info("Info: " + patternInfo) // Full description
```
## 🎯 Pattern Reliability
### High Reliability (Strong Signals)
- Engulfing patterns (Bullish/Bearish)
- Morning/Evening Star formations
- Three White Soldiers / Three Black Crows
- Hammer / Shooting Star (with confirmation)
### Medium Reliability (Use with Confirmation)
- Harami patterns
- Piercing / Dark Cloud Cover
- Tweezer Top/Bottom
- Doji Star patterns
### Context-Dependent (Require Trend Analysis)
- Window patterns (gaps)
- Kicking patterns
- Tasuki Gap patterns
- Three Methods patterns
## 📝 Notes
- **Trend Context is Critical**: Most reversal patterns require proper trend identification for accuracy
- **Confirmation Recommended**: Wait for next candle confirmation before taking action
- **Volume Matters**: Consider volume alongside patterns (not included in this library)
- **Multiple Timeframes**: Check patterns across multiple timeframes for stronger signals
- **Risk Management**: Always use stop losses regardless of pattern strength
## 🔗 Integration with Other Indicators
This library works well with:
- Moving averages (trend confirmation)
- RSI/Stochastic (overbought/oversold)
- Volume indicators (confirmation)
- Support/Resistance levels (context)
- ATR (position sizing)
## 📄 License
This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
## 👤 Author
© Quant2Alpha
## 🆘 Support
For issues, questions, or contributions, please refer to the QUANT2ALPHA documentation or community channels.
---
**Version:** 1.0
**Pine Script Version:** 6
**Last Updated:** 2025
Sectors Comparison with Auto LabelsThis indicator creates a label which updates with the chart value.
2 MACD VISUEL — 4H / 1H / 15M + CONFIRMATION 5M//@version=6
indicator("MTF MACD VISUEL — 4H / 1H / 15M + CONFIRMATION 5M", overlay=true, max_labels_count=500)
// ─────────────────────────────
// Fonction MACD Histogram
// ─────────────────────────────
f_macd(src) =>
fast = ta.ema(src, 12)
slow = ta.ema(src, 26)
macd = fast - slow
signal = ta.ema(macd, 9)
hist = macd - signal
hist
// ─────────────────────────────
// MTF MACD HISTOGRAM
// ─────────────────────────────
h4 = request.security(syminfo.tickerid, "240", f_macd(close))
h1 = request.security(syminfo.tickerid, "60", f_macd(close))
h15 = request.security(syminfo.tickerid, "15", f_macd(close))
h5 = request.security(syminfo.tickerid, "5", f_macd(close))
// Signes
s4 = h4 > 0 ? 1 : h4 < 0 ? -1 : 0
s1 = h1 > 0 ? 1 : h1 < 0 ? -1 : 0
s15 = h15 > 0 ? 1 : h15 < 0 ? -1 : 0
s5 = h5 > 0 ? 1 : h5 < 0 ? -1 : 0
// Conditions
three_same = (s4 == s1) and (s1 == s15) and (s4 != 0)
five_same = three_same and (s5 == s4)
// BUY / SELL logiques
isBUY = five_same and s4 == 1
isSELL = five_same and s4 == -1
// ─────────────────────────────
// DASHBOARD VISUEL (en haut du graphique)
// ─────────────────────────────
var table dash = table.new(position.top_right, 4, 2, border_color=color.black)
table.cell(dash, 0, 0, "4H", bgcolor = s4 == 1 ? color.green : s4 == -1 ? color.red : color.gray)
table.cell(dash, 1, 0, "1H", bgcolor = s1 == 1 ? color.green : s1 == -1 ? color.red : color.gray)
table.cell(dash, 2, 0, "15M", bgcolor = s15 == 1 ? color.green : s15 == -1 ? color.red : color.gray)
table.cell(dash, 3, 0, "5M", bgcolor = s5 == 1 ? color.green : s5 == -1 ? color.red : color.gray)
table.cell(dash, 0, 1, s4 == 1 ? "↑" : s4 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
table.cell(dash, 1, 1, s1 == 1 ? "↑" : s1 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
table.cell(dash, 2, 1, s15 == 1 ? "↑" : s15 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
table.cell(dash, 3, 1, s5 == 1 ? "↑" : s5 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
// ─────────────────────────────
// SIGNES VISUELS SUR LE GRAPHIQUE
// ─────────────────────────────
plotshape(isBUY, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large, text="BUY")
plotshape(isSELL, title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large, text="SELL")
// Histogramme du MACD 5M en couleur tendance
plot(h5, title="MACD Hist 5M", color = h5 >= 0 ? color.green : color.red, style=plot.style_columns)
// ─────────────────────────────
// Alerte Webhook (message constant OBLIGATOIRE)
// ─────────────────────────────
alertcondition(isBUY, title="Signal BUY Confirmé", message="MTF_MACD_BUY")
alertcondition(isSELL, title="Signal SELL Confirmé", message="MTF_MACD_SELL")
Algoticks.in: MA Crossover Strategy (Sample)MA Crossover Strategy - User Guide
Overview
This is a Moving Average Crossover strategy that generates trading signals when a fast MA crosses a slow MA. It integrates with Algoticks.in API for automated trading on Delta Exchange.
Strategy Logic
Long Signal: When Fast MA crosses above Slow MA
Short Signal: When Fast MA crosses below Slow MA
Automatically closes opposite positions before entering new ones
Quick Setup
1. Add to TradingView
Open TradingView and go to the chart
Click "Pine Editor" at the bottom
Paste the script code
Click "Add to Chart"
2. Configure Strategy Parameters
Strategy Settings
Fast MA Length (default: 9): Shorter moving average period
Slow MA Length (default: 21): Longer moving average period
MA Type : Choose SMA (Simple) or EMA (Exponential)
General API Settings
Paper Trading : Enable for testing without real money
Signal Type : Choose "Trading Signal" (default) for tracking
Exchange : DELTA (Delta Exchange)
Segment :
futures - Perpetual contracts
options - Call/Put options
spot - Spot trading
Order Settings: Basic
Quantity : Number of contracts (e.g., 1, 0.5, 2)
Validity :
GTC - Good Till Cancelled
IOC - Immediate or Cancel
FOK - Fill or Kill
DAY - Day order
Product : cross_margin or isolated_margin
Order Settings: Entry Type
Choose how orders are executed:
Market Order : Immediate fill at best price
Limit Order : Fill at specified price or better
Stop Market : Triggers at stop price, then market order
Stop Limit : Triggers at stop price, then limit order
Entry Prices (for Limit/Stop orders)
Limit Price:
Price : The value to use
Type : Last Price / Mark Price / Index Price
Mode :
Absolute - Exact price (e.g., 65000)
Relative - Offset from entry price
% Checkbox : If checked, relative uses percentage; if unchecked, uses points
Example:
Absolute: 65000 → Order at exactly 65000
Relative 1% (checked): Entry ± 1% of entry price
Relative 100 (unchecked): Entry ± 100 points
Trigger Price: Same logic as Limit Price, used for Stop orders
Exit / Bracket Prices (SL/TP)
Stop Loss (SL):
Type : Price type to monitor (Mark Price recommended)
Mode : Absolute or Relative
% : Percentage or points
SL : Stop loss value (e.g., 2 for 2%)
Trig : Optional trigger price (creates Stop-Limit SL)
Take Profit (TP): Same structure as SL
Example:
Long entry at 65000, SL = 2% → Exit at 63700 (65000 - 2%)
Short entry at 65000, TP = 3% → Exit at 63050 (65000 - 3%)
3. Options Trading Setup (Only if Segment = Options)
Strike Selection Method
User Defined Mode:
Manually specify exact strike and option type
Best for: Trading specific levels
Required fields:
Strike Price : e.g., "65000"
Option Type : Call or Put
Dynamic Mode:
System calculates strike based on ATM price
Best for: Automated strategies
Required fields:
Algo Type : Options Buying or Selling
Strike Offset : 0 (ATM), +1 (above ATM), -1 (below ATM)
Strike Interval : Gap between strikes (e.g., BTC: 500, ETH: 50)
Expiry Date Formats:
T+0 - Today
T+1 - Tomorrow
current week - This Friday
next week - Next Friday
current month - Last Friday of month
131125 - Specific date (13 Nov 2025)
4. Create Alert for Automation
Right-click on chart → "Add Alert"
Condition : Select your strategy name
Alert Actions : Webhook URL
Webhook URL : Your Algoticks.in API endpoint
Message : Leave as {{strategy.order.alert_message}} (contains JSON)
Click "Create"
The alert will automatically send JSON payloads to your API when signals occur.
Example Configurations
Simple Futures Trading
Strategy: Fast MA = 9, Slow MA = 21, SMA
Segment: futures
Order Type: market_order
Quantity: 1
SL: 2% (Relative)
TP: 4% (Relative)
Options Buying (Dynamic)
Segment: options
Strike Selection: Dynamic
Algo Type: Options Buying Algo
Strike Offset: 0 (ATM)
Strike Interval: 500 (for BTC)
Expiry: current week
Order Type: market_order
Conservative Spot Trading
Segment: spot
Order Type: limit_order
Limit Price: 0.5% (Relative)
Quantity: 0.1
No SL/TP (manual management)
Important Notes
Paper Trading First : Always test with paper trading enabled before live trading
Order Tags : Automatically generated for tracking (max 18 chars)
Position Management : Strategy closes opposite positions automatically
Signal Confirmation : Uses barstate.isconfirmed to prevent repainting
JSON Payload : All settings are converted to JSON and sent via webhook
Troubleshooting
No signals : Check if MAs are crossing on your timeframe
Orders not executing : Verify webhook URL and API credentials
Wrong strikes : Double-check Strike Interval for your asset
SL/TP not working : Ensure values are non-zero and mode is correct
Support
For API setup and connector configuration, see CONNECTOR_SETUP_GUIDE.md or visit Algoticks.in documentation.
MyLibrary with listLibrary "MyLibrary"
fun(x)
- This has a dot
1. This has a number
Parameters:
x (float) : TODO:
- This has a dot
1. This has a number
1MTF MACD Alignement XAUUSD - Webhook v6//@version=6
indicator("MTF MACD Alignement XAUUSD - Webhook v6", overlay=false)
// ===== Paramètres utilisateur =====
fast_len = input.int(12, "Fast Length")
slow_len = input.int(26, "Slow Length")
signal_len = input.int(9, "Signal Length")
repl_secret = input.string(title="Webhook secret (doit matcher WEBHOOK_SECRET)", defval="Covid-19@2020")
// ===== Fonction MACD histogramme =====
f_macd_hist(src) =>
macd = ta.ema(src, fast_len) - ta.ema(src, slow_len)
signal = ta.ema(macd, signal_len)
hist = macd - signal
hist
// ===== Récupération multi-timeframe =====
hist4h = request.security(syminfo.tickerid, "240", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist1h = request.security(syminfo.tickerid, "60", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist15m = request.security(syminfo.tickerid, "15", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist5m = request.security(syminfo.tickerid, "5", f_macd_hist(close), lookahead=barmerge.lookahead_off)
// ===== Signes de MACD =====
s4 = hist4h > 0 ? 1 : (hist4h < 0 ? -1 : 0)
s1 = hist1h > 0 ? 1 : (hist1h < 0 ? -1 : 0)
s15 = hist15m > 0 ? 1 : (hist15m < 0 ? -1 : 0)
s5 = hist5m > 0 ? 1 : (hist5m < 0 ? -1 : 0)
// ===== Vérification alignement TF supérieurs =====
three_same = (s4 != 0) and (s4 == s1) and (s1 == s15)
// ===== Confirmation 5M =====
five_in_same = three_same and (s5 == s4)
// ===== Préparation du JSON pour webhook =====
signal_type = s4 == 1 ? "BUY" : (s4 == -1 ? "SELL" : "NEUTRAL")
alert_json = '{"secret":"'+repl_secret+'","symbol":"'+syminfo.ticker+'","signal":"'+signal_type+'","time":"'+str.tostring(time, "yyyy-MM-dd HH:mm:ss")+'","aligned": }'
// ===== Alertcondition compilable =====
// v6 n’accepte pas message dynamique, donc on met un message fixe
alertcondition(five_in_same and ta.change(five_in_same), title="MACD Align + 5M confirm", message="MACD alignement détecté")
// ===== Affichage optionnel des histogrammes =====
plot(hist4h, title="hist 4H", color=color.new(color.green, 0), linewidth=1)
plot(hist1h, title="hist 1H", color=color.new(color.blue, 0), linewidth=1)
plot(hist15m, title="hist 15M", color=color.new(color.orange, 0), linewidth=1)
plot(hist5m, title="hist 5M", color=color.new(color.purple, 0), linewidth=1)
Trillotron 5000 Checklist AssistantTrillotron 5000’s Checklist Assistant is a complete multi-factor trading confirmation system designed to help traders avoid low-quality entries and only take high-probability setups.
The indicator evaluates market structure, multi-timeframe EMA alignment, volume, ATR, key levels, and candle confirmation to determine whether a chart meets the full criteria for a CALL (bullish) or PUT (bearish) setup.
When all conditions align, the indicator highlights the chart with a colored background (green for CALL, red for PUT) and prints a clear signal label on the bar. This tool helps reinforce discipline, reduce impulsive trades, and support consistent decision-making across all timeframes.
Moving Averages (all Types) MTF colored! by Moin-TradingEnglish 🇬🇧
Title: Moving Averages (all Types) MTF colored!
Short Description:
By Moin-Trading. A customizable Moving Average Ribbon that automatically colors the lines green if the closing price is above the MA, and red if the price is below it. Based on the classic "MA Ribbon" indicator.
Description:
This indicator, provided by Moin-Trading, is based on the structure of the popular "Moving Average Ribbon" (MA Ribbon) indicator, but enhances it with powerful dynamic color coding and full MA type flexibility.
It offers a visually intuitive tool for market analysis. It plots four individually adjustable moving averages (MAs) on your chart and applies dynamic color coding based on current price action.
Key Features:
Dynamic Coloring: Each MA line automatically turns green if the current close price is greater than or equal to the MA (bullish sentiment), and red if the price is below it (bearish sentiment). This allows for a quick visual assessment of the trend relative to multiple timeframes.
Four Customizable MAs: Track up to four different moving averages simultaneously (defaulting to 20, 50, 100, 200 periods).
MA Type Flexibility: The indicator supports all MA types (SMA, EMA, RMA, WMA, VWMA), with EMA set as the default.
MTF (Multi-Timeframe): The timeframe = "" setting allows you to run the indicator on any desired timeframe to view higher-timeframe MAs on your current chart.
