PDH PDL + Key Levels# PDH PDL + Key Levels
A single indicator for the horizontal levels that actually matter intraday: previous day, week and month extremes, custom session highs and lows, and the New York open — with lines that stop where price consumed them instead of running across the whole chart.
## What it plots
**Previous period extremes**
PDH / PDL, PWH / PWL, PMH / PML. Each line is anchored at the bar that printed the extreme and extends to the right, so you see both where the level was made and how far it has travelled untouched.
**Session highs and lows**
Three independent, fully configurable sessions (defaults: New York, Asia, London). While a session is open its high and low develop live and are never cut. Once the session closes they freeze and become eligible for consumption like any other level.
**NY Open**
A fixed reference at 09:30 America/New_York. The price used is the close of the 09:29 one-minute candle, requested from a 1-minute context with lookahead off — it appears only once that candle has closed, so the level never repaints. The timezone is IANA, so daylight saving is handled automatically. Intraday timeframes only.
## Cut when consumed
The core behaviour. A level stops being drawn the moment price reaches it:
- A high acts as resistance and is consumed by any candle whose **high** reaches it — gaps up included.
- A low acts as support and is consumed by any candle whose **low** reaches it — gaps down included.
- The NY Open can be approached from either side, so it is consumed by a candle that straddles it or by a gap that jumps clean through it.
The result is a chart where a long horizontal line means genuinely untested, and a short stub means the level was taken out early. Consumption checks only start after the level's own period begins, so a fresh PDH is never cut by the day that created it. Turn the behaviour off and every line simply extends to the current bar.
## Coincident levels merge
When two or more levels land on the same price — within one tick — they fold into a single line with a combined label, for example `PDH + NY-H`. Hierarchy runs monthly, weekly, daily, sessions, NY open, and the surviving line keeps the **latest** endpoint of the group, so a level that is still alive never inherits an older level's cut.
## Settings
**General** — toggle cut-on-touch, toggle merging, show or hide all labels, label size.
**Line style** — style and width for the previous-period extremes.
**Colors** — separate colors for highs and lows, plus a master override that paints everything one color without erasing your palette underneath. Switch it off and your own colors come straight back.
**Levels** — individual toggles for PDH, PDL, PWH, PWL, PMH, PML. Monthly extremes are off by default.
**NY Open** — enable, label text, color, style, width. The time is not configurable by design.
**Session 1 / 2 / 3** — enable, label prefix, hours, timezone, color, style, width. Timezones accept GMT notation (`GMT-5`) or an IANA name (`America/New_York`); IANA is recommended because it survives daylight saving.
## How to use it
Mark your session before the open: untouched PDH and PDL are the most obvious draws on liquidity for the day, and the ones still extended after several sessions tend to be the ones price eventually goes to fetch. Session extremes give you the boundaries of the Asian and London ranges going into New York. The NY Open acts as the intraday mean many algorithmic systems reference — price reclaiming or rejecting it in the first hour is frequently the cleanest read of the session's direction.
Because a consumed level disappears, what remains on screen is the set of unresolved objectives, which keeps the chart readable without manual cleanup.
## Notes and limitations
- Levels are redrawn on the last bar only. The indicator shows the current state of the chart, not a historical record of every level that ever existed. It is a live map, not a backtest.
- The NY Open needs a 09:29 one-minute candle to exist. On a chart restricted to regular trading hours that begins at 09:30, that candle is absent and the level will not print. Use an extended-hours chart for futures.
- Sessions are evaluated on the chart's own bars, so a window narrower than your timeframe may never trigger. Keep session ranges wider than a single bar.
- Line and label counts are capped at 500 each, which is well above anything this indicator produces.
No alerts, no signals, no repainting. Just the levels. Indicateur
Quantum Trend Runtime - MTF Price Action [TrendRuntime]Quantum Trend Runtime — MTF Price Action
A multi-timeframe price-action engine built around percentage movement, impulse, rejection, volatility, market activity and confirmed structure.
Quantum Trend Runtime (QTR) was created around the way I personally analyze crypto markets.
Instead of depending primarily on traditional oscillators such as RSI or MACD, QTR focuses directly on price behavior:
How much has price moved?
Is that move significant for this market?
Is momentum continuing?
Is price rejecting the move?
Are multiple timeframes confirming the same idea?
Is the market active enough to trade at all?
QTR combines those questions into one visual runtime.
Recommended Timeframe
QTR is designed primarily around the:
2H chart
With the default configuration, the indicator analyzes three confirmed timeframes:
2H — Fast runtime
3H — Core runtime
4H — Slow runtime
The 3H timeframe receives the strongest weighting inside the QTR directional model.
Why Percentage Movement Matters
A market moving 0.30% is not behaving the same way as a market that has already moved 5%, 10%, 15% or more.
QTR therefore gives percentage expansion a central role.
For example, after a substantial bullish move, a strong bearish reaction can carry much more information than the same bearish candle appearing inside a flat market.
QTR measures both:
the latest confirmed candle movement;
the directional move that happened before it.
This allows the engine to identify both continuation and rejection environments.
QTR Market States
Each analyzed timeframe can display one of the following states:
BULL IMPULSE — Strong bullish expansion with continuation characteristics.
BEAR IMPULSE — Strong bearish expansion with continuation characteristics.
BULL REJECTION — Bullish reaction following meaningful downside movement.
BEAR REJECTION — Bearish reaction following meaningful upside movement.
NEUTRAL — The market is active, but no strong directional event is confirmed.
QUIET — Current movement is below QTR's activity requirements.
QTR is intentionally not designed to produce signals constantly.
Sometimes the most useful output is:
QUIET MARKET
In that environment, the indicator is effectively saying that the current contract may not offer enough movement to justify attention.
Adaptive Impulse Engine
QTR does not use one fixed percentage to decide whether a candle is significant.
Instead, it measures the normal absolute candle movement of the market and creates an adaptive impulse threshold.
Conceptually:
Adaptive Impulse =
max(
Minimum Impulse %,
Average Absolute Candle Body %
+ Multiplier × Body Dispersion
)
This allows QTR to adapt to markets with very different volatility profiles.
The dashboard displays this relationship through the IMPULSE multiple.
Examples:
0.70x = below the adaptive impulse threshold
1.00x = reaches the current impulse threshold
1.50x = 1.5 times the adaptive threshold
2.00x = approximately twice the normal impulse requirement
Prior Move
The dashboard's PRIOR% value measures the directional movement that occurred before the latest confirmed reaction.
This matters because context changes the meaning of a candle.
A bearish reaction after a +1% move is not necessarily equivalent to a bearish reaction after a +15% expansion.
Trend%
TREND% measures confirmed directional movement across the selected trend lookback.
It provides broader context around the immediate impulse or rejection signal.
Multi-Timeframe Direction
QTR combines the default timeframes using the following weighting:
2H = 25%
3H = 50%
4H = 25%
The core 3H runtime intentionally receives the greatest influence.
A normal opportunity generally requires agreement between multiple timeframes.
A strong confirmed rejection can optionally qualify independently when the remaining timeframes are not opposing it.
QTR Score
The directional score ranges approximately from:
-100 = strong bearish runtime
0 = neutral
+100 = strong bullish runtime
The score incorporates factors such as:
percentage candle movement;
adaptive impulse magnitude;
body efficiency;
directional closing strength;
rejection structure.
The QTR Score is a model output.
It is not a guaranteed probability of a successful trade.
Setup Quality
QTR also displays a quality grade.
The quality model considers:
directional score strength;
agreement between the 2H, 3H and 4H runtimes;
how many timeframes are currently active.
Possible grades include:
A+
A
B
C
LOW
Higher quality means the internal QTR components are agreeing more strongly.
It does not represent a guaranteed win rate.
Long and Short Opportunities
The main runtime can identify:
LONG OPPORTUNITY
or
SHORT OPPORTUNITY
These states mean that QTR has identified a directional environment worth evaluating.
They should not be interpreted as blind market orders.
The trader should still evaluate execution, liquidity, position sizing and personal risk tolerance.
QTR Projection
QTR includes a forward scenario engine.
When sufficient directional information is available, the indicator projects a potential price path across the next three core-timeframe intervals.
With the default 3H core timeframe:
T+1 ≈ 3 hours
T+2 ≈ 6 hours
T+3 ≈ 9 hours
The projection combines:
QTR directional score;
confirmed multi-timeframe trend;
recent percentage movement;
adaptive impulse magnitude;
impulse / rejection state;
momentum persistence.
Important: The QTR Projection is not an entry price.
If QTR displays:
SHORT OPPORTUNITY
QTR PROJECTION: -5.4%
this means the current runtime favors a bearish continuation scenario approximately toward that projected movement.
It does not mean that the trader should wait until the projected level is reached and then enter short.
The intended interpretation is:
OPPORTUNITY
↓
TRADE DECISION / EXECUTION
↓
RISK MANAGEMENT
↓
TARGET / QTR PROJECTION
Projection Corridor
The violet projection lines around the main QTR path represent a wider movement scenario.
The corridor responds to current volatility and QTR directional strength.
These levels are visual scenario estimates.
They are not statistically certified confidence intervals.
Trade Planning
When QTR identifies an opportunity, the indicator can display several planning references:
REF PRICE — Current price used as the planning reference.
INVALID — Structural invalidation beyond the confirmed core-timeframe candle.
1.25R — Reference target calculated from the selected reward/risk multiple.
RISK% — Distance between the reference price and invalidation.
TYPE — Whether the opportunity is primarily impulse- or rejection-driven.
The default reference reward/risk is:
1.25R
This value can be changed in the indicator settings.
REF PRICE is not an automatic entry signal.
It is provided to make the current risk structure easier to evaluate visually.
Percent Levels
QTR also includes customizable percentage levels around a confirmed anchor price.
Default levels are:
±4%
±7%
±15%
±25%
These levels reflect the percentage-based philosophy behind QTR and help visualize how far price has expanded from a known reference.
They should not be interpreted as guaranteed support or resistance.
Dashboard
The QTR dashboard is designed to summarize the market without requiring the trader to interpret multiple separate indicators.
For each timeframe it displays:
STATE — Current impulse, rejection, neutral or quiet classification.
CH% — Confirmed candle-body percentage change.
PRIOR% — Directional movement preceding the analyzed candle.
TREND% — Broader confirmed directional movement.
IMPULSE — Candle magnitude relative to its adaptive impulse threshold.
The lower part of the dashboard displays:
QTR projected direction;
T+1 / T+2 / T+3 projected prices;
projected percentage move;
current market activity;
trade-planning references;
current QTR action.
Market Activity
QTR also evaluates whether the market is currently worth watching.
Possible environments include:
QUIET
MODERATE
ACTIVE
HIGH
EXTREME
The objective is simple:
avoid forcing trades when the market is barely moving.
Confirmed Higher-Timeframe Data
QTR's multi-timeframe classifications are built from completed higher-timeframe candles.
The indicator intentionally avoids using unfinished future higher-timeframe candles for historical classifications.
This means confirmed signals can appear later than systems that use developing HTF candles, but the goal is to provide more consistent historical and live behavior.
The QTR Projection itself is a live scenario and can therefore change as current market price changes.
Alerts
QTR includes alert conditions for:
QTR Long Opportunity
QTR Short Opportunity
QTR High-Quality Long
QTR High-Quality Short
QTR Quiet Market
These alerts can help traders monitor multiple markets without keeping every chart open continuously.
How I Use QTR
My own workflow is focused on markets that are actually moving.
I generally look for:
Meaningful percentage expansion.
An active market rather than low-volatility price action.
Strong impulse or rejection behavior.
Agreement between the 2H, 3H and 4H runtimes.
A trade structure with acceptable reward relative to risk.
When the market is quiet, I would rather scan another contract than force a setup.
What QTR Is Not
QTR is not:
a guaranteed trading system;
a guaranteed price predictor;
a replacement for risk management;
a promise of future profitability;
a quantum-computing model.
Quantum Trend Runtime is the name of the TrendRuntime methodology and indicator.
The word "Quantum" is branding and does not imply that the Pine Script performs quantum computation.
Risk Disclaimer
Trading cryptocurrencies, perpetual futures and leveraged products involves substantial risk.
QTR provides quantitative price-action analysis, market classification and visual decision support only.
Any signal, projected path, target, score or market classification can fail.
Past performance does not guarantee future results.
Always determine position size, leverage, invalidation and maximum acceptable loss independently.
Built by Rudy — TrendRuntime
TrendRuntime
trendruntime.app
TradingView
www.tradingview.com
Indicateur
Double U Strategy with Webhook AlertsDouble U Strategy with Webhook Alerts
Double U Strategy is a trend-following strategy built around two independent ATR-based engines, one for long entries and one for short entries. The idea comes from the ATR trailing-stop approach commonly associated with UT Bot, but Double U uses a different implementation and trading structure. The reason for separating the two sides is simple: bullish and bearish moves often behave differently, so forcing both directions to use exactly the same ATR settings is not always useful.
The long and short engines each have their own sensitivity and ATR period. A long entry can occur when price crosses above the long ATR trail while remaining above the trend EMA, while a short entry can occur when price crosses below the short ATR trail while remaining below the same EMA. The EMA is therefore used as a regime filter rather than as an entry signal by itself.
The strategy also supports pyramiding. If another valid signal appears while a position in the same direction is already open, the strategy can add to that position until the pyramiding limit is reached. The default limit is three entries, but this can be changed from the Strategy Properties.
Exits use a separate mechanism instead of simply waiting for the ATR engine to reverse. The script compares the current close with the close a configurable number of bars earlier and counts consecutive moves in the same direction. Once the required sequence is reached, the current position is closed. This keeps entry and exit logic independent: ATR behavior decides when to enter, while the sequence logic decides when an extended move has progressed far enough to exit.
The default configuration was selected as a practical starting point for testing rather than as a claim of universal optimization. The current setup uses a long-term EMA filter together with different ATR settings for long and short trades, reflecting the asymmetric design of the strategy. Results can change significantly between instruments and timeframes, so the parameters should be tested rather than treated as fixed recommendations.
Webhook alerts
Webhook support is built directly into the strategy. Entry and exit orders generate structured alert messages automatically, so there is no need to manually create separate JSON messages for buys, sells, or closes.
When creating a TradingView strategy alert, the Message field should contain only:
{{strategy.order.alert_message}}
The strategy includes a platform selector and an optional symbol override. If the symbol field is left empty, the chart ticker is sent in the webhook message. If an external execution system requires a different symbol, the required ticker can be entered directly. This is useful not only for crypto, but also for futures, forex, indices, metals, or any case where the TradingView symbol differs from the execution symbol.
For example, a strategy can run on a continuous futures chart while the webhook sends the currently tradable contract instead. The trading logic remains attached to the chart, while the execution symbol can be changed without modifying the Pine code.
Statistics
A compact statistics table is displayed on the chart to make parameter testing faster. It shows net profit, number of closed trades, win rate, profit factor, test period, pessimistic profit factor, maximum intratrade drawdown, and Sharpe ratio.
The drawdown value in this table is intentionally different from TradingView's portfolio-level maximum drawdown. It shows the largest adverse movement experienced inside any closed trade, which makes it useful when comparing parameter combinations and estimating how much floating loss a trade may have experienced before closing.
The Sharpe ratio is calculated from monthly equity returns using a 2% annual risk-free rate and is annualized from monthly observations.
Backtesting notes
The strategy uses 10% of equity as the default order size, allows up to three pyramided entries, processes orders on bar close, and includes 15 ticks of slippage by default. Commission is not hard-coded because the script can be tested on instruments with very different pricing models. Users should set commission, margin, slippage, and other Strategy Properties according to the broker, exchange, and instrument they actually intend to trade.
Historical results are hypothetical and depend on the selected market, timeframe, data source, execution assumptions, and parameters. The purpose of Double U Strategy is to provide a transparent strategy that can be backtested, adjusted, and connected to webhook-based execution, not to predict future performance. Stratégie
Indicateur
Indicateur
Rejection Radar PRO Hariss 369Detect potential price rejection before a trend move loses momentum.
Rejection Radar PRO is a price-action based indicator designed to identify potential exit and reversal zones by combining confirmed support/resistance pivots, rejection candles, ATR-based rejection zones, and a higher-timeframe KAMA trend filter.
Instead of reacting to every candle, the indicator focuses on where price is being rejected.
🔥 Key Features
• HTF KAMA Trend Filter
Uses a higher-timeframe KAMA to provide directional context and help filter rejection signals against the broader trend.
• Confirmed Support & Resistance
Uses confirmed pivot highs and pivot lows to establish important potential rejection areas.
• Dynamic Rejection Zones
ATR-based zones create a flexible area around support and resistance rather than relying on a single exact price.
• Wick-Based Rejection Detection
Detects candles showing significant upper or lower wick rejection relative to candle body size.
• Optional Engulfing Rejection
Can additionally recognize bullish and bearish engulfing structures as rejection signals.
• Candle-Close Confirmation
Optional close confirmation helps reduce signals from candles that have not yet completed.
• Visual Rejection Markers
Clear rejection markers identify potential bearish rejection at resistance and bullish rejection at support.
• Exit Signals
Designed primarily as an exit/profit-protection tool:
Bearish rejection near resistance → potential LONG exit warning
Bullish rejection near support → potential SHORT exit warning
• Alerts
Create TradingView alerts when confirmed rejection conditions occur.
🧠 How It Works
The indicator combines:
HTF Trend → Confirmed Pivot → Rejection Zone → Candle Structure → Rejection Signal
A rejection signal is not simply generated because price touches support or resistance. Price must also demonstrate a rejection structure through the candle's wick/body relationship or optional engulfing pattern.
📊 Best Use
This indicator can be used alongside a separate trend-following entry system.
For example:
LONG
→ Enter using your primary trend-following system
→ Hold while the trend remains intact
→ Watch resistance/rejection zones
→ Bearish rejection can act as an early profit-protection or exit warning
SHORT
→ Enter using your primary trend-following system
→ Hold while the trend remains intact
→ Watch support/rejection zones
→ Bullish rejection can act as an early profit-protection or exit warning
It is particularly useful for traders who want to avoid exiting solely because of a small pullback or a single opposite candle.
⚙️ Customization
The indicator allows customization of:
• HTF timeframe
• KAMA length, fast and slow parameters
• Pivot sensitivity
• ATR zone width
• Wick/body rejection ratio
• Candle close-location threshold
• Engulfing rejection
• Candle-close confirmation
• Zone and pivot visibility
• Rejection markers
• Exit labels
⚠️ Important
This is a decision-support indicator, not a standalone trading system.
A rejection signal does not guarantee a reversal. Price can temporarily reject a level and subsequently break through it. Always consider market structure, volatility, liquidity, position size, and your predefined risk-management rules.
Backtest and forward-test the indicator on your specific instrument and timeframe before using it with real capital.
**DISCLAIMER**
Rejection Radar PRO is provided for educational and informational purposes only. It is not financial, investment, or trading advice and does not constitute a recommendation to buy or sell any security, futures contract, option, cryptocurrency, or other financial instrument.
Trading involves substantial risk, and past performance or historical signals do not guarantee future results. Rejection signals may fail, particularly during strong breakouts, high-volatility events, news releases, or rapidly changing market conditions.
Users are solely responsible for their trading decisions, risk management, position sizing, and financial outcomes.
Always conduct your own research, backtesting, and forward testing before using this indicator with real money.
Indicateur
Trade ManagementTrade Management
Trade Management is a visual planning and position-management tool designed to help traders structure, size, and monitor both long and short trades directly on the chart.
It combines entry planning, stop-loss placement, profit targets, position sizing, partial exits, and progressive profit protection within a single dashboard.
Main features
- LONG and SHORT trade plans
- Automatic, manual-price, or percentage-based stop-loss
- Automatic stop placement based on confirmed pivots and ATR
- Fixed risk-multiple or market-structure targets
- Two profit targets: TP1 and TP2
- Optional ideal-entry level based on recent price structure
- Position sizing based on:
- Capital allocation
- Maximum account risk at the stop
- Fixed quantity
- Configurable TP1/TP2 position allocation
- Support for stocks and other instruments
- Automatic or manually defined point value
- Progressive stop management
- Live and historical tracking modes
- Customizable dashboard position, text size, and projected levels
Trade-plan construction
The indicator calculates the initial risk from the distance between the entry price and the stop-loss.
In AUTOMATIC stop mode, the stop is placed beyond a confirmed structural pivot with an ATR-based buffer. A minimum ATR distance prevents the initial stop from being placed excessively close to the entry.
Alternatively, traders can define an exact stop price or use a percentage distance from entry.
Profit targets can be calculated using fixed multiples of the initial risk, expressed in R , or derived from historical support and resistance levels that satisfy the selected minimum reward-to-risk requirement.
Position sizing
Three sizing methods are available:
- CAPITAL ALLOCATION % allocates a selected percentage of account capital to the position.
- STOP RISK % calculates the quantity according to the maximum theoretical account loss at the initial stop.
- FIXED QUANTITY uses a manually entered number of shares, units, or lots.
For stocks, quantities are rounded down to whole shares. Other instruments can use a configurable point value and quantity increment.
The position can also be divided between TP1 and TP2 using several predefined allocation ratios.
Progressive protection
When TP1 is reached, the tracked stop moves to the entry price, creating a break-even reference for the remaining position.
A separate profit-protection trigger can move the tracked stop beyond entry by a configurable fraction of the initial risk. This helps visualize how much profit would theoretically be protected if the corresponding broker order were adjusted.
The indicator does not modify broker orders automatically.
Tracking modes
LIVE mode freezes the complete trade plan when tracking is armed. It can either treat the position as already open or wait for the entry price to be crossed. Once frozen, new pivots and ATR changes do not modify the original plan.
HISTORICAL mode begins monitoring from the selected date and assumes entry when the configured price is touched. When several levels are reached within the same candle, the exact event order cannot always be determined from OHLC data. The dashboard identifies these situations as intrabar uncertainty, and stop-loss events receive priority when conflicting levels are touched on the same bar.
Dashboard and chart levels
The chart displays the planned entry, optional ideal entry, tracked stop-loss, TP1, TP2, profit-protection trigger, and protected-stop level.
The dashboard summarizes:
- Entry and initial stop
- Position quantity
- Capital allocated
- Initial monetary and percentage risk
- TP1 and TP2 allocations
- Estimated target profit
- Weighted reward-to-risk ratio
- Current tracked stop
- Remaining position
- Theoretical profit or loss
- Trade status
- Suggested next management action
Important limitations
This indicator is a planning and monitoring aid, not an automated trading system. It does not place orders, confirm broker executions, or generate autonomous trade recommendations.
LIVE tracking is reset when an input or timeframe is changed, or when the script is reloaded. Calculations assume executions at the displayed levels and exclude commissions, taxes, slippage, spreads, currency conversion, liquidity constraints, and other execution differences.
Always verify contract specifications, point values, quantities, and orders directly with your broker.
For educational and informational purposes only. This indicator does not constitute financial advice.
DL INVEST - Laurent. Indicateur
Trend Deviation Channel (Zeiierman)█ Overview
Trend Deviation Channel (Zeiierman) is an adaptive trend channel designed to measure the prevailing trend and how far price is displaced from its expected trend path.
The channel is built around five main components:
• Trend Baseline = the expected price path derived from the regression trend
• Deviation Rails = +1D, +2D, +3D and -1D, -2D, -3D levels around the trend
• Trend State = bullish, bearish, or neutral classification of the center trendline
• Deviation Profile = a rolling distribution showing where price has historically spent time relative to the trend
• Deviation Events = confirmed 2D and 3D Expansion and Re-entry events highlighting significant movement through the outer channel structure
A reading of -2D means price is approximately two normalized downside deviations below trend.
A reading beyond +3D or -3D represents a major displacement from the expected trend path and is classified as Dislocated .
█ How It Works
⚪ Trend Model
The indicator builds a regression trend from completed historical bars and projects that structure forward.
The current candle does not pull the trend toward itself while its deviation is being measured, helping preserve a cleaner reading of how far price has moved from the established trend.
re = ta.linreg(src , len, 0)
rp = ta.linreg(src , len, 1)
slope = re - rp
⚪ Trend State
The center 0 TREND line identifies the current environment as:
• Up Trend
• Down Trend
• Neutral
Trend direction is based on regression slope strength relative to ATR.
Separate Trend Enter Strength and Trend Exit Strength thresholds help prevent the trend state from constantly switching during borderline conditions.
⚪ Deviation Structure
Price displacement is measured relative to the projected trend rather than a horizontal average.
• ±1D = Stretch
• ±2D = Extreme
• ±3D = Dislocated
residual = price - trend
deviation = residual >= 0 ? residual / upperDev : residual / lowerDev
Price near 0D is trading close to trend equilibrium.
As price reaches 1D, 2D, and 3D , displacement from the expected trend path becomes progressively more significant.
⚪ Deviation Profile
The profile beside the channel shows where price has historically spent the most time in deviation space , rather than price space.
For example, readings such as +0.4D, +1.2D, -0.7D, and -2.1D are grouped together to reveal the distribution of trend-relative displacement.
Wider areas show deviation zones visited more often, while thinner areas show less common displacement.
⚪ Expansion & Re-entry
Expansion events identify confirmed transitions into more extended deviation regions.
exp2 = barstate.isconfirmed and ta.crossover(z, d2)
exp3 = barstate.isconfirmed and ta.crossover(z, d3)
2D Expansion indicates price has moved into an extreme displacement.
3D Expansion indicates price has moved into the outer Dislocated region.
A Re-entry occurs when price later crosses back inside the corresponding deviation boundary.
These events can help identify:
• accelerating extension
• sustained displacement
• failed expansion
• movement back toward trend equilibrium
█ How to Use
Trend Deviation Channel can be used for Trend Identification, Trend Pullbacks, Dislocation Analysis, Mean Reversion, and Deviation Profile Analysis.
⚪ Trend Identification
The centerline provides the directional framework of the indicator.
• Bullish centerline = active uptrend
• Bearish centerline = active downtrend
• Neutral centerline = insufficient directional strength
⚪ Trend Pullbacks
During an established uptrend, price can be evaluated by how deeply it pulls below the center trendline.
• 0D to -1D = normal movement around trend
• -1D to -2D = meaningful pullback from trend
• -2D to -3D = extreme downside displacement
• Below -3D = dislocation from the prevailing trend structure
The opposite interpretation can be applied during downtrends.
A deviation level should not automatically be treated as support, resistance, or a reversal point. Instead, it provides a standardized measurement of how far price has moved from its expected trend path.
⚪ Dislocation Analysis
A 3D move marks an unusually large deviation from the existing trend.
When price reaches 3D against a prolonged trend , it can signal that momentum has shifted strongly enough for a larger trend change to be developing.
The key is not the 3D touch itself, but whether price can hold the displacement or continue through it .
⚪ Mean Reversion
Price often reacts or temporarily bounces when reaching the outer 2D and 3D deviation bands .
These areas represent strong extension, so traders can watch for temporary pullbacks or mean-reversion moves when price reaches them.
A touch alone is not a reversal signal, but it highlights an area where a reaction may become more likely.
⚪ Deviation Profile Analysis
The Deviation Profile shows where price has spent the most time relative to the trend .
Wider areas represent deviation zones visited more frequently, while thinner areas represent less common displacement.
• A profile weighted toward the lower deviation bands can suggest persistent downside pressure and stronger seller control.
• A profile weighted toward the upper deviation bands can suggest persistent upside pressure and stronger buyer control.
A balanced profile around 0D suggests price is spending more time near trend equilibrium.
█ Settings
Source: Selects the price series used to construct the trend model and calculate deviation. Close is used by default.
Trend Length: Controls how much historical data is used to estimate the regression trend. Higher values create a smoother, slower channel. Lower values react faster.
Trend Enter Strength: Controls how much directional strength is required before the center trendline enters an Up or Down state.
Trend Exit Strength: Controls how weak an established trend must become before returning to Neutral.
Deviation Shape: Asymmetric estimates separate upside and downside deviation scales. Symmetric uses one shared scale for both sides.
Residual Shock Cap (ATR): Limits how much an unusually large historical movement can influence the deviation width.
Minimum Deviation Width (ATR): Prevents the deviation rails from becoming too narrow during low-volatility conditions.
Minimum One-Side Samples: Controls how many observations are required before an independent upside or downside deviation estimate is used.
Deviation 1: Controls the first deviation rail and separates the Core region from Stretch behavior.
Deviation 2: Controls the second deviation rail and the threshold used for 2D Expansion and Re-entry events.
Deviation 3: Controls the outer deviation rail and the threshold used for 3D Expansion and Re-entry events.
Stretch Memory: Controls how slowly persistent displacement beyond the first deviation rail fades from the internal stretch state.
Show Rail Labels: Shows or hides the +1D, +2D, +3D, 0 TREND, -1D, -2D, and -3D labels.
Show Current Deviation: Shows or hides the live label displaying the current normalized deviation and displacement zone.
Show 2D Expansion: Shows or hides confirmed 2D Expansion markers.
Show 2D Re-entry: Shows or hides confirmed 2D Re-entry markers.
Show 3D Expansion: Shows or hides confirmed 3D Expansion markers.
Show 3D Re-entry: Shows or hides confirmed 3D Re-entry markers.
Up Trend: Controls the center trendline color during an active uptrend.
Down Trend: Controls the center trendline color during an active downtrend.
Neutral Trend: Controls the center trendline color when no active directional trend is detected.
Upper Deviation: Controls the color of positive deviation rails, upper channel areas, profile bins, and upside events.
Lower Deviation: Controls the color of negative deviation rails, lower channel areas, profile bins, and downside events.
Show Deviation Profile: Shows or hides the rolling trend-relative Deviation Profile.
Bins: Controls the number of buckets used to construct the Deviation Profile.
Profile Range (D): Controls the positive and negative deviation range displayed by the profile.
Profile Gap: Controls the horizontal distance between the projected channel and the Deviation Profile.
Profile Max Width: Controls the maximum width of the most populated profile area.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicateur
Three-Candle LookbackThis indicator projects three synthetic candles to the right of live price so you can see the structure of the last completed 15-minute, 4-hour, and 6-hour sessions at a glance — without switching timeframes.
🔵 Blue — 15m candle
🟠 Orange — 4H candle
🟣 Purple — 6H candle
Each candle shows the session's open, high, low, and close, with the high/low marked by lines and the session name labelled above it. Colors are fixed (they don't flip green/red), so you can tell the sessions apart instantly.
Settings: each candle's color, the offset from the last bar, and the spacing between candles are all adjustable. If a candle isn't visible, it's sitting off the right edge — scroll right, or reduce the offset/spacing values. Indicateur
TDI - Goldminds / MMM Jakub Donovan RecreationTDI — Goldminds / MMM
> A Market Makers Method–style TDI combining RSI momentum, moving averages, and volatility bands to identify trend, momentum shifts, and overbought/oversold conditions.
The Traders Dynamic Index (TDI ) is a momentum and trend-following oscillator that combines RSI, moving averages, and volatility bands into a single indicator.
This version is based on the Goldminds TDI, adapted for the Market Makers Method (MMM) and reconstructed using the original parameters associated with the Jakub Donovan version.
Core Components:
RSI: 21-period RSI
Volatility Bands: 34-period SMA with a 1.6185 standard-deviation multiplier
Fast MA: 7-period SMA of RSI
Slow MA: 2-period SMA of RSI
Reference Levels: 20 / 30 / 50 / 70 / 80
The TDI can be used to identify momentum shifts, trend direction, overbought/oversold conditions, and potential reversals.
How to interpret it
Green & Red lines
The moving averages of RSI help identify changes in momentum. Crossovers can highlight potential shifts in short-term momentum.
Yellow line
The yellow line represents the RSI's broader average and acts as a useful reference for the overall momentum environment.
Blue bands
The volatility bands expand and contract based on RSI volatility, helping identify periods when momentum becomes unusually extended.
50 level
The 50 level acts as the key momentum midpoint:
* Above 50 → bullish momentum
* Below 50 → bearish momentum
30 / 70
Traditional oversold/overbought zones.
20 / 80
Extreme momentum zones that can help identify potentially exhausted moves.
> Important: The TDI should be used as a confirmation tool rather than as a standalone buy or sell signal. Combining it with price structure, support/resistance, volume, and market conditions can provide stronger trade setups.
Indicateur
Five Session by Mach0Five Session — Customizable Trading Sessions with Opening Range
Overview
Five Session highlights up to five fully customizable trading sessions directly on your chart. Each session is drawn as a box that tracks the session's high and low in real time, with an optional label, Fibonacci retracement levels, and an Opening Range with breakout alerts.
Designed for intraday traders who work with session-based concepts such as the London/New York overlap, Asian range breakouts, or opening range strategies.
Features
- 5 independent sessions — each with its own time window, label, and color. Defaults cover London, New York, Tokyo, and two custom slots, but every session can be freely reconfigured.
- Session boxes — automatically track the high/low of the session as it develops. Choose line style, line width, and background opacity, or hide historical boxes to keep the chart clean.
- Extend modes — keep session levels projected to the right after the session closes ("Extend" or "Extend + End line"), useful for trading reactions to prior-session highs and lows.
- Fibonacci levels (experimental) — plots the 0.382, 0.5, and 0.618 retracement levels of the session range inside each box.
- Opening Range — marks the high/low of the first N minutes of each session (lookback configurable, default 30 minutes) with its own color and style.
- Timezone support — set any timezone (e.g. "America/New_York", "GMT+2") so sessions stay correct regardless of the chart's exchange timezone.
Alerts
- Session started / ended — separate alert conditions for each of the five sessions.
- Opening Range breakout — fires when price closes above the opening range high (bullish) or below the opening range low (bearish) of a session.
- Optional on-chart markers ("Start"/"End" and "Bull"/"Bear") can be toggled in the settings.
Notes
- Works on intraday timeframes from 1 to 60 minutes.
- Session times use the HHMM-HHMM format and support overnight sessions (e.g. 2000-0200).
- Written in Pine Script v6.
This script is for informational and educational purposes only and does not constitute financial advice. Indicateur
Minimal Ict killzone (musii)**Five things. One colour. Nothing else.**
This is not an all-in-one. Most ICT scripts throw 40 features and 12 colours at your chart until you can't see the candles. This draws exactly five things, in one colour if you want, as thin and quiet as possible — and it cleans up after itself so old, dead or far-away information never stays on screen.
Built for index futures (NQ / ES / MNQ / MES / YM / RTY) on 1m–1h, works on anything intraday.
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**WHAT IT DRAWS**
**1 · Sessions (killzones)**
Asia, London, NY AM, Lunch, NY PM — each one is a small labelled header block floating just above the session's high, spanning the session's time, with two faint vertical "curtains" hanging from its edges. That's it. No giant boxes painted over your candles. Session high / low lines are available (dotted, extend until swept, then freeze at the sweep candle) but off by default.
Every session's name, time window and colour is editable inline. Times are anchored to New York regardless of your chart timezone.
**2 · True Day Open (TDO)**
The 00:00 New York open. One line, one tiny `tdo` tag at its right end.
**3 · 10AM Open (the "Powell" open)**
The 10:00 NY open is the open of the new 4-hour candle and the anchor of the 10am Power of 3 — price frequently runs one side of it (manipulation), then displaces through it and expands the other way. The script draws the 10:00 open and runs it to 14:00 (the 4H close) by default.
– Optional "body edge" mode: reads the 10:00 candle — bearish close → line at body top, bullish → body bottom.
– Optional `judas` mark: the first candle that wicks through the 10am level and closes back on the other side. One per day, alertable.
– 6pm futures open available (off by default).
**4 · Turtle Soup (liquidity sweeps)**
A wick takes out a swing high or low and the body closes back inside — that's the mark. Dotted line from the swept swing to the sweep candle, tiny `ts` tag. The same rule optionally fires on the session highs / lows above, so a London-high sweep during NY AM is marked without you drawing anything. Optional filter: only inside session windows.
**5 · SMT Divergence**
Automatic pairing: NQ↔ES, MNQ↔MES, YM/MYM→ES/MES, RTY/M2K→ES/MES — micro stays micro, and it mirrors your exact contract (NQ1! pairs with ES1!, NQZ2026 pairs with ESZ2026). Or force a pair, or type a custom symbol; inverse-correlation switch for pairs that move opposite.
Detection is done the way SMT is actually read: when your swing high confirms, it looks at the pair's highest high across that same window and compares it with the pair's high across your previous swing. You made a higher high, the pair didn't → `smt·es`. No requirement for the pair to print a pivot on the same candle (that's why most SMT scripts miss half of them). A max-distance setting keeps it to the current leg.
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**THE PART THAT MAKES IT USABLE: IT DECLUTTERS ITSELF**
Every object on the chart has a reason to leave:
– Turtle soup and SMT marks **expire** after N bars (bars, not minutes — so it's the same screen distance on every timeframe).
– A **failed** turtle soup (candle closes back through the swept level) or a failed SMT (close through the divergence pivot) is **deleted**. If a mark is still on your chart, it's still valid.
– Swing candidates **age out** — sweeping a two-day-old pivot on the 1m isn't turtle soup.
– Past sessions and open lines **hide themselves** while price is more than N × ATR away and **reappear** when price comes back into range.
– Opens are **today-only** by default.
– Session history: 1–15 days, one slider.
---
**ONE-COLOUR MODE**
The `style` group has a single switch: *one colour for everything*. Every line, fill, curtain and label is forced to one colour of your choice. Text size, line width and fill transparency are global. If busy charts overstimulate you, this is the reason the script exists.
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**ALERTS**
Turtle soup bull / bear · SMT bull / bear · 10am judas · 10am open printed.
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**NOTES**
– Turtle soup and SMT confirm `swing length` bars after the pivot — that's inherent to any pivot-based logic and it does not repaint after confirmation.
– Hidden (far-away) objects are made transparent. If far lines ever squash your auto-scale, right-click the price scale → *Scale price chart only*.
– Intraday only. On daily+ the opens and sessions don't apply and stay off.
– This is a drawing tool, not a signal service. It marks time and structure; the read is yours.
Settings are grouped: style · declutter · sessions · opens · turtle soup · smt. Every input has a tooltip.
Indicateur
Indicateur
Taught to Trade - Backtest Integrity Scanner🔵 OVERVIEW
This does not read your strategy. It measures the chart your strategy is being tested on, and reports which standard backtest assumptions are unsafe here.
Most backtest failures are not logic errors. They are assumptions about the instrument: that costs are negligible, that the sample is large enough, that the data is clean, that the test window contains more than one market regime. Those are properties of the chart rather than of your code, and they can be measured directly.
The table reports ten of them and flags the ones that need attention.
🔵 HOW TO READ THE TABLE
Header shows bars available and years of history on this chart and timeframe.
Approx trades available. Bars divided by your assumed holding period. Flags CHECK below the minimum you set. Expectancy measured on a handful of trades is not measurable.
Median bar range. The middle bar's high to low as a percentage of price. This is what one bar is worth here.
Round-trip cost. Your commission plus slippage, both sides.
Cost / median bar. The number that matters most. It is the fraction of a typical bar's entire range consumed by entering and exiting once. On a 15-minute crypto chart with ordinary retail costs this routinely exceeds 50 percent. A strategy whose average win is smaller than a median bar cannot survive that, and no amount of parameter tuning changes it.
One-bar head start. The average absolute distance from one bar's close to the next bar's open, as a percentage. This is what a same-bar lookahead error is worth on this instrument.
Head start / cost. The head start expressed in round trips. Above 1.0x, a one-bar lookahead bug hands a backtest more than a full round trip of free edge per trade, which is enough to invent an edge out of nothing.
Zero-volume bars. Bars where nothing traded. A backtest will happily fill you on them.
Gaps above the ATR multiple. Bars that opened far from the previous close. Stops and limits behave very differently across these than a backtest assumes.
Volatility regime now. Current ATR percentile band, plus the share of the sample sitting in the high and low thirds. Flags CHECK when one regime dominates, because an edge measured inside a single regime is a regime bet.
🔵 SETTINGS
Cost assumptions: commission and slippage per side. Use your broker's real numbers. Zero slippage is the most common dishonest backtest setting.
Sample: window length, assumed bars held per trade, and the minimum trade count you would accept.
Data checks: ATR length, the gap threshold, and the cost share at which the warning fires.
Table: position and text size.
🔵 ALERTS
Four alert conditions are provided and none fire on their own. You configure them yourself in the alerts dialog. This script does not send buy or sell signals and never will.
🔵 WHERE IT FAILS
This tool is about limits, so it should be honest about its own.
It cannot see your strategy. It has no access to your entry logic, your fills, or your equity curve. It measures the environment, which means a table full of OK does not mean your backtest is honest. It means these particular environmental assumptions are not the thing breaking it.
The cost inputs are yours. Enter a fantasy number and you get a fantasy verdict. The script cannot verify what you actually pay.
Median bar range is a poor summary of a fat-tailed distribution. It deliberately ignores the tails, and the tails are where a lot of real outcomes live.
The one-bar head start figure is an average across the sample. On the individual bars that matter most, the violent ones, it is far larger than the average suggests.
The regime split uses ATR terciles computed inside the same window it is judging. On a short window that is close to circular, and it will call a quiet sample balanced when the market simply has not moved yet.
The trade count is an estimate from a holding period you typed in, not from a real trade list.
Data checks are limited to what TradingView provides for the symbol. Survivorship bias in your symbol universe is invisible here, and it is one of the largest backtest errors there is.
Open source, so you can read every calculation rather than take any of this on trust.
Educational tool only, not investment advice. It does not predict anything and does not generate signals. Trading involves substantial risk of loss. Indicateur
Earnings Drift RadarEarnings Drift Radar
Does a stock keep its lead after earnings?
Earnings Drift Radar follows a stock's performance relative to a market benchmark and a selected sector benchmark from an earnings reaction day. It separates the initial relative reaction from the subsequent change in that lead.
READING THE RADAR
• Green line: stock return minus sector return, in percentage points.
• Blue line: stock return minus market return, in percentage points.
• Zero line: equal performance since the same starting point.
• Blue shading and a green dot: the selected reaction day.
• Orange downward marker: a previously positive sector lead crosses to zero or below.
The dashboard describes the sector lead as growing, holding, fading, lost, or underperforming. These states describe relative price behavior; they are not buy or sell instructions.
A SIMPLE EXAMPLE
Stock A rises 6% while its sector rises 5%: its sector lead is +1 percentage point.
Stock B rises 2% while its sector falls 4%: its sector lead is +6 percentage points.
The smaller absolute gain can represent stronger relative performance.
If the initial sector lead is +4 pp and later falls to +2 pp, the radar shows 50% of the initial lead retained. This ratio is available only for sufficiently positive initial reactions. It may exceed 100% or turn negative.
HISTORICAL CONTEXT
The table summarizes sector excess returns at D+5, D+10 and D+20, where D0 is the reaction day. Each horizon includes only completed valid observations from the selected recent event window. It displays sample count, mean, median and percentage of positive excess returns. The positive percentage is not a trading win rate.
SETUP
Use a standard 1D chart of a USD stock and matching US-session USD benchmarks. SPY is the default market benchmark. XLK is a technology-sector example: choose the appropriate sector ETF yourself.
Choose Feed event bar, Next trading bar, or Manual date. TradingView earnings data does not reliably resolve every release time. Verify D0 against the actual announcement; shifting to the next bar applies to all reports. Manual mode studies one chosen event.
METHOD AND LIMITS
The reference prices are the split-adjusted regular-session closes immediately before D0. Calculations use simple price-return differences, without beta modeling, dividend returns or currency conversion. Missing or misaligned benchmark data invalidates the remainder of that event. New earnings events replace unfinished observation windows.
Updates and alert conditions use confirmed daily closes. Historical feed corrections and setting changes can change results. Relative performance does not prove that earnings caused a move. Small samples should be interpreted cautiously. This is an analytical indicator, not a validated trading strategy or a profitability claim.
ALERTS
New earnings reaction; sector lead lost; sector lead recovered; sector lead starts fading. Configure alerts separately in TradingView.
Indicateur
Adaptive Supertrend MA Crossover StrategyAdaptive Supertrend MA Crossover
Overview
This strategy trades the crossover between a Moving Average and a Supertrend line - a classic trend-following combination - but with two design choices that set it apart from the standard version of this idea already published elsewhere:
1. The Supertrend and the Moving Average each take their own independently selectable price source (Open, High, Low, Close, HL2, HLC3, OHLC4, or HLCC4), rather than both being locked to Close.
2. A new Moving Average source option: "EMA of Supertrend." Instead of feeding the MA a raw price series, this applies an EMA directly to the Supertrend line itself, and then runs your chosen MA type (SMA/EMA/HMA/WMA) on top of that smoothed line. The result is a crossover between two different "views" of the same underlying trend structure, rather than a crossover between price and trend.
Why "EMA of Supertrend" matters
A standard Supertrend line is deliberately steppy - it holds a level and jumps, rather than moving smoothly, which is what makes it useful as a stop/trend marker but also means a plain price-vs-Supertrend crossover can be noisy on choppy days (price whipsaws across a flat Supertrend step repeatedly).
Applying an EMA to the Supertrend line first produces a smoothed trend proxy that still reacts to genuine Supertrend flips, but rounds off the sharp step edges. Running your chosen Moving Average on top of that, rather than on top of price, means the crossover signal is comparing two related measures of trend, not fighting against Supertrend's inherent steppiness. This tends to produce fewer false flips in sideways conditions while still catching genuine trend changes, without adding a second unrelated indicator to the chart.
This source option is exposed directly in the settings (MA Source = "EMA of Supertrend"), with its own dedicated smoothing period, so it's a toggle away from the standard price-source approach for direct comparison on your own charts.
Caption: Chart example on GOLDPETAL, 15-min: long & short entry on the MA-Supertrend crossover.
How it works
Supertrend: calculated from your selected source (default HL2, the traditional Supertrend basis) with a configurable ATR Period and ATR Factor. Unlike TradingView's built-in Supertrend function (which is hard-coded to HL2), this version lets the basis price and the trend-flip check both use whichever source you select.
Moving Average: choose SMA, EMA, HMA (Hull), or WMA, computed on your selected source, including the "EMA of Supertrend" option described above.
Entry signal: long when the Moving Average crosses above the Supertrend line, short on the opposite cross.
Reverse Trading Mode: a single toggle that inverts the signal (useful for quickly testing whether the opposite side of a crossover performs better on a given instrument/timeframe, without rebuilding the logic).
Stop Loss / Take Profit: both optional and independently toggleable, with a shared basis switch between Percentage (of entry price) and Points, so the same settings panel works whether you're trading a low-priced or high-priced instrument.
Settings guide
(select this whole list after pasting and click the bullet-list button)
Supertrend Source - price series used for the Supertrend basis and trend-flip check
ATR Period / ATR Factor - standard Supertrend volatility inputs
MA Type - SMA / EMA / HMA / WMA
MA Source - price source, or "EMA of Supertrend"
EMA of Supertrend Period - smoothing period applied to the Supertrend line (only active when MA Source = EMA of Supertrend)
Reverse Trading Mode - inverts long/short signals
Use SL / Use TP, Basis, Values - optional exit management, Percentage or Points
Caption: Strategy Tester summary, GOLDPETAL futures, 15-min, , default settings.
Disclaimer:
This script is a technical trading tool for educational and informational purposes. It does not constitute financial advice, and past performance in backtesting does not guarantee future results. Always test thoroughly on your own instruments and timeframes, and use appropriate risk management, before considering live use. Stratégie
Reversal Scanner V4 Multi-Timeframe Exhaustion & ContextReversal Scanner V4 is a multi-timeframe market-state scanner designed to identify directional moves that are becoming increasingly favorable for a potential reversal.
The core idea behind the scanner is simple:
Distance alone does not make a market overextended. How the market traveled that distance matters.
A market that moves 2 ATR over several days through slow, overlapping price action is fundamentally different from one that moves the same distance through rapid expansion, high velocity, and strong directional participation.
Rather than treating every large move as a reversal opportunity, this scanner attempts to answer three separate questions:
1. Is there actually a meaningful directional move in progress?
2. Has that move become statistically or structurally extended?
3. Is the impulse that created the move beginning to deteriorate?
The scanner uses Daily + 1H + 4H analysis to separate these functions.
The Daily timeframe provides the broader move and extension context. The 1H timeframe measures the behavior and velocity of the active impulse. The 4H timeframe evaluates the structure of the move and whether lower-timeframe price action supports the broader reversal thesis.
Understanding the Dashboard
ACTIVE MOVE
This section establishes the directional move currently being evaluated.
Move Age measures how long the active directional move has been developing.
Move / Daily ATR normalizes the total displacement of the move against the instrument's Daily ATR. This makes the scanner more comparable across markets with very different nominal prices and volatility.
A 100-point move in one market may be insignificant while the same nominal move in another could be extreme. ATR normalization helps solve that problem.
IN-PLAY SCORE
The In-Play Score measures whether the current move is sufficiently active to deserve attention.
It incorporates characteristics such as:
Current Velocity — how quickly price is currently moving relative to its normal behavior.
Move RVOL — relative volume associated with the move.
Range Regime — whether current price ranges are compressed, normal, or expanded.
High In-Play readings indicate that the scanner is evaluating a meaningful active move rather than ordinary market noise.
Importantly:
IN PLAY does not mean ENTER.
It means the move has enough activity to warrant further evaluation.
EXTENSION SCORE
Extension measures how far the market has traveled relative to its normal behavior.
The scanner evaluates factors including:
Daily Z-Score — statistical displacement relative to the instrument's recent distribution.
Directional Days — persistence of movement in the current direction.
Hard Extension — identifies particularly extreme displacement conditions.
This section answers:
"Has price traveled far enough for a reversal thesis to become reasonable?"
A market can have extremely high velocity without being sufficiently extended. Likewise, a market can be statistically extended while still possessing enough momentum to continue moving.
For that reason, extension is only one component of the scanner.
IMPULSE HISTORY
This section evaluates the strongest part of the directional move rather than looking only at current conditions.
It tracks characteristics such as:
Peak Velocity — the strongest velocity reached during the move.
Peak Acceleration — the strongest acceleration event observed during the move.
Current Acceleration — how much acceleration remains now.
Deceleration — how substantially the current impulse has deteriorated from its peak.
This is one of the most important concepts behind the scanner.
A market may currently appear slow precisely because it has already exhausted an extremely aggressive impulse.
For example:
High peak velocity → acceleration spike → substantial deceleration
is fundamentally different from:
Low velocity → low acceleration → continued slow movement.
The first represents a potentially exhausted impulse. The second may simply represent a market that was never particularly impulsive.
The scanner therefore preserves information about the history of the move, rather than allowing current conditions to erase evidence of the original expansion.
4H STRUCTURE
The 4-hour layer provides intermediate structural context between the Daily move and 1H impulse measurements.
It evaluates:
4H Legs — the number of meaningful structural legs within the move.
4H Efficiency — how efficiently price has traveled in the dominant direction.
4H Direction — whether intermediate structure remains aligned with the larger move.
Structure Quality provides an overall assessment of whether the move has developed through relatively clean directional structure or increasingly messy/choppy price action.
This is important because mature trends frequently transition from efficient directional movement into overlapping, inefficient structure before a larger reversal develops.
Final Status
The scanner combines these independent components into a final market-state classification.
Rather than producing a binary BUY or SELL signal, it progresses through different stages as the reversal thesis develops.
For example:
WAIT / DEVELOPING
A move exists, but the conditions required for a high-quality reversal thesis have not sufficiently developed.
REVERSAL WATCH
Extension, impulse history, and/or structural deterioration are becoming meaningful enough to begin monitoring the opposite direction.
PRIORITY REVERSAL
Multiple components of the model have aligned sufficiently for the market to become a higher-priority reversal candidate.
The dashboard also displays Potential LONG or Potential SHORT based on the direction opposite the active move.
A bullish active move therefore creates a potential short reversal thesis, while a bearish active move creates a potential long thesis.
How I Use It
This scanner is intended to answer where to look, not when to enter.
My workflow is:
Scan multiple futures markets for high-quality active moves.
Identify instruments progressing into Reversal Watch or Priority Reversal.
Determine whether the move shows a combination of meaningful extension, historically strong impulse, substantial deceleration, and deteriorating/appropriate 4H structure.
Move to a lower timeframe and wait for an actual reversal setup.
Use independent price-action confirmation for execution and risk management.
For example, a market showing:
Strong directional move
High historical velocity
Large acceleration spike
Significant extension
95%+ deceleration from peak impulse
Mature 4H structure
would receive substantially more attention than a market that is merely far away from its starting price.
The scanner itself is not the entry trigger.
Why Multiple Timeframes?
The scanner deliberately separates the analysis across three time horizons:
Daily = Context & Extension
Where is the market within the larger move?
1H = Impulse & Velocity
How aggressively did the move occur, and is that aggression still present?
4H = Structure
How clean or mature is the intermediate structure connecting those two perspectives?
This prevents a common problem with reversal systems: attempting to make a single timeframe simultaneously determine trend, extension, exhaustion, and execution.
What the Scanner Is Designed to Find
The ideal candidate is not simply an "overbought" or "oversold" market.
It is a market that experienced a meaningful directional impulse, traveled far enough to become relevant, and is now showing evidence that the characteristics responsible for that move are deteriorating.
Conceptually:
Impulse → Expansion → Extension → Deceleration → Structural deterioration → Reversal opportunity
The scanner attempts to quantify the first five stages.
Price action determines the sixth.
Important
This indicator is a context and market-state tool, not a standalone trading system.
IN PLAY, REVERSAL WATCH, PRIORITY REVERSAL, Potential LONG, and Potential SHORT should not be interpreted as automatic trade entries.
They identify conditions that may warrant additional analysis.
Users should independently determine entries, stops, targets, position sizing, and risk management.
Past market behavior does not guarantee future results. Indicateur
Mirror BiasSee the market from the other side.
Mirror Bias is a visual context indicator designed to challenge directional bias by displaying price action as a true vertical reflection of the underlying chart.
Instead of trying to predict whether the market is bullish or bearish, Mirror Bias asks a different question:
"Would this chart look the same to me if I couldn't rely on the usual visual direction of price?"
How it works
Mirror Bias mathematically reflects the OHLC data across a horizontal axis, i.e.,:
Mirrored Price = -Price
Because the transformation is applied to the actual OHLC values, the candles retain their original proportions, structure, gaps, wicks, and relationships. Time remains unchanged; only the vertical orientation is reversed.
This is a true geometric mirror of price action.
Why Mirror Bias is different
Some indicators described as "inverted candles" use a reciprocal transformation such as:
1 / Price
That is a nonlinear inverse-price transformation and is useful for certain comparative applications, but it is not a geometric reflection of the chart. TradingView seems to be lacking a true mirror of price action so I am adding this for public use.
Mirror Bias takes a different approach: the shape of the market is preserved while its visual orientation is reversed.
Use it as a bias-checking tool
Markets can be surprisingly difficult to evaluate objectively when our brains are conditioned to associate:
Rising charts with bullishness
Falling charts with bearishness
Green candles with opportunity
Red candles with danger
Mirror Bias provides an alternate visual perspective that can make familiar structures feel unfamiliar again.
Try analyzing the mirrored chart before looking back at the original chart. You may notice:
Trend structure you hadn't consciously recognized
Support and resistance relationships from a different perspective
Pullbacks that look different when the visual direction is reversed
How strongly candle colors influence your interpretation
Whether your market view is based on structure or simply visual habit
Optional contextual tools
Mirror Bias can remain completely clean and minimal, or additional context can be enabled when needed:
Swing Structure : Displays confirmed HH, HL, LH, and LL labels from the original price action.
Daily Open : Mirrors the current session's daily open.
Previous Day High / Low : Mirrors the prior day's key levels.
VWAP : Mirrors session VWAP on intraday charts.
20 / 50 / 200 EMA : Adds mirrored moving-average context.
Original Direction : Optionally reveals the underlying market's relationship to a selected EMA.
Candle Color Modes : Preserve the original colors, invert them, or use neutral candles.
All contextual elements are transformed into the same mirrored coordinate system so they remain consistent with the visual perspective.
A note on interpretation
The Mirror Bias script's purpose is perspective.
Use it to step outside an established narrative, question your assumptions, and compare your first impression with what you see when the same market is presented from the opposite visual direction.
Does your interpretation change simply because the chart was facing the other way?
Indicateur
Breakout Failure RadarBreakout Failure Radar
Follow the breakout. Keep the original level. Recognize when the structure fails.
Breakout Failure Radar tracks what happens after a price-channel breakout. It freezes the original breakout level and volatility reference, then monitors whether price holds a retest or closes back through the failure threshold.
READ THE COLORS
Blue B+ / B− — Breakout detected
A new upward or downward breakout enters observation.
Green R+ / R− — Retest held
Price touches the frozen retest zone and closes back on the breakout side. Monitoring continues.
Orange F+ / F− — Breakout failed
Price closes beyond the failure threshold on the opposite side of the original level.
Gray square — Window complete
The observation window ends without a defined failure. This does not indicate a profitable trade.
The + and − signs always refer to the original breakout direction. F+ identifies a failed upward breakout; F− identifies a failed downward breakout.
HOW A BREAKOUT IS DETECTED
The default channel uses the highest high and lowest low of the previous 20 completed candles. The current candle is excluded.
An upward breakout requires:
• A close more than 0.10 ATR14 above the upper channel.
• The previous close to have been at or below its own previous upper channel.
Downward breakouts use the opposite conditions.
The channel boundary and ATR are frozen when the breakout is confirmed. Later price movements do not move these reference values.
RETEST OR FAILURE?
The default observation window covers the next five candles, excluding the breakout candle.
The retest zone extends 0.25 frozen ATR on either side of the original level. A held retest requires the candle’s range to intersect this zone and its close to finish more than 0.10 frozen ATR on the original breakout side.
A failure occurs when price closes more than 0.10 frozen ATR on the opposite side of the original level.
A held retest does not end the observation. The same breakout can hold a retest and still fail later.
WORKED EXAMPLE
Hypothetical prices using the default settings.
An upward breakout freezes a level of 100 and an ATR of 4. Price closes at 102, satisfying the breakout conditions.
• Retest zone: 99 to 101.
• Held retest: The candle touches this zone and closes above 100.40.
• Failure: A subsequent candle closes below 99.60 within the observation window.
• Still unresolved: A close at 99.80 is below the original level but has not crossed the failure threshold.
The buffers distinguish a small move around the level from a confirmed condition. They do not guarantee that price will continue or reverse.
MONITORING RULES
• Only one breakout is monitored at a time. Additional breakouts during an active observation are ignored.
• A held retest is reported only once per setup.
• A gap that skips the entire retest zone does not count as a touch.
• Failure takes priority over window completion on the final observation candle.
• A first held retest and window completion can occur on the same final candle.
• A new observation can start no earlier than the candle after the previous observation ends.
• A rejected crossing is not automatically activated later; a fresh channel crossing is required.
DISPLAY AND ALERTS
The frozen level and retest zone are displayed through the observation’s final candle. Historical markers remain on the candles where their conditions were confirmed.
The status panel shows:
• Original breakout direction and latest status.
• Frozen breakout level.
• Number of candles monitored.
• Distance from the latest confirmed close to the frozen level, measured in frozen ATR. Positive values indicate the original breakout side.
• Whether a held retest occurred during the observation.
Five alert conditions are available:
1. New breakout under observation.
2. Retest held.
3. Upward breakout failed.
4. Downward breakout failed.
5. Monitoring window complete.
Choose Once Per Bar Close when creating alerts.
CONFIRMED-CANDLE BEHAVIOR
State changes and event markers are confirmed at candle close. The script does not use future candles, backdated signals or lookahead requests.
Historical data corrections, changes to chart history and different input settings can still change historical results. Use standard candles for interpreting the price-based rules.
RESEARCH AND LIMITATIONS
The default rules were examined on daily BTC, ETH, SOL, BNB and XRP USD histories from January 2021 through September 10, 2026.
The proportion of completed observations meeting the failure definition was:
• 2021–2023: 44.93% across 276 observations.
• 2024–2025: 46.63% across 178 observations.
• 2026: 55.38% across 65 observations.
These figures describe how frequently the chosen failure condition occurred. They are not prediction accuracy or trading win rates.
Average price movement after a warning changed direction between the examined periods. The study therefore did not establish a stable advantage from automatically trading against failed breakouts.
The analysis does not model portfolio exposure, execution costs, funding, stop-losses or actual fills. The five cryptocurrencies are a selected and correlated sample.
The indicator can calculate on stocks and other timeframes, but this research covers cryptocurrency daily candles with the default settings only.
WHAT MAKES THIS TOOL DISTINCT
The implementation combines a Donchian-style channel and Wilder ATR with frozen reference levels, a defined observation window and continued monitoring after a held retest. Each component serves the specific purpose of tracking how an individual breakout develops.
It operates independently of Crypto Breakout Compass and does not import that indicator’s signals.
Breakout Failure Radar is a market-structure monitoring tool. A failure warning identifies a condition that has already occurred; it is not an automatic instruction to enter the opposite trade. Indicateur
Crypto Breakout CompassCRYPTO BREAKOUT COMPASS
A clear framework for reading crypto breakouts — from market context to confirmed signals.
Crypto Breakout Compass highlights price-channel breaks that also meet trend, volatility and candle-strength conditions. Its purpose is to make breakout selection visible and explainable. It is a chart-analysis indicator, not an automated trading strategy.
THE SIGNAL PATH
Price-channel break → Trend alignment → Volatility & candle checks → Confirmed close → B+ or B−
Each filter has a specific job: the channel identifies a break, the EMAs establish direction, ATR limits volatility and extension, and candle location checks whether the move held into the close. A shared cooldown limits repeated alerts.
1. READ THE CHART
• Teal channel: highest high of the previous 20 completed candles.
• Red channel: lowest low of the previous 20 completed candles.
• Orange line: EMA50. Blue line: EMA200.
• Teal / red background: confirmed bullish / bearish trend alignment.
• B+: confirmed bullish breakout. B−: confirmed bearish breakout.
• Status panel: last confirmed trend, ATR percentage and current gate status.
The current candle is excluded from the channel calculation. A colored background alone is not a breakout signal.
2. WHAT QUALIFIES AS A SIGNAL?
Bullish — B+
The close moves above the upper channel, while the preceding close was at or below its own upper channel. Price must close above EMA50, EMA50 must be above EMA200, and EMA200 must be higher than five bars earlier. The close must finish in the top 30% of the candle.
Bearish — B−
The close moves below the lower channel, while the preceding close was at or above its own lower channel. Price must close below EMA50, EMA50 must be below EMA200, and EMA200 must be lower than five bars earlier. The close must finish in the bottom 30% of the candle.
Shared checks
• ATR14 must be positive and no more than 12% of the closing price.
• The close must extend no more than 1 ATR beyond the broken channel.
• At least 10 bars must separate signals, across both directions.
• The candle must be closed and the warmup complete.
A rejected breakout is not automatically accepted later. A fresh channel crossing is required. Zero-range candles receive a neutral close location and cannot meet the default candle-strength threshold.
3. WORKED EXAMPLES
Hypothetical prices, using the default settings. These illustrate the rules, not actual trades or forecast returns.
Example A — bullish qualification
Upper channel = 100 | ATR = 4
Candle: high 103, low 98, close 102
EMA50 = 99 | EMA200 = 95 and rising
The close is 2 points above the channel: 2 ÷ 4 = 0.5 ATR. Its location within the candle is (102 − 98) ÷ (103 − 98) = 80%, inside the top 30%. ATR is approximately 3.92% of close, below the 12% cap. If the previous-close crossing condition, warmup and cooldown are also satisfied, B+ appears at candle close.
Example B — bearish qualification
Lower channel = 100 | ATR = 4
Candle: high 102, low 97, close 98
EMA50 = 105 | EMA200 = 110 and falling
The close is 0.5 ATR below the channel and sits 20% of the way up the candle, inside the bottom 30%. ATR is approximately 4.08% of close. If the remaining conditions are satisfied, B− appears at candle close.
Example C — an extended move is rejected
Upper channel = 100 | ATR = 4 | Close = 106
The extension is 6 ÷ 4 = 1.5 ATR, exceeding the default 1 ATR limit. No B+ is printed, even if the trend is bullish. This illustrates the extension filter; it does not imply the price cannot continue higher.
4. QUICK START & ALERTS
Start with regular 1D cryptocurrency candles and the default inputs. The default warmup requires at least 205 previous bars. Separate alert conditions are available for bullish and bearish breakouts; choose “Once Per Bar Close” when creating an alert.
The research covers daily candles only. Other intervals display “Unvalidated timeframe”. Changing inputs also moves beyond the tested defaults. Bearish markers describe price direction; they do not imply that short selling is available on a spot market.
5. CONFIRMATION & DATA BEHAVIOR
Markers and saved status update only on confirmed candle closes. Channel lines and EMAs can move while a candle is open. The script uses no future bars, pivot backdating or lookahead requests. Historical data corrections, feed changes, available history and input changes can still affect historical signals.
The indicator runs entirely on TradingView chart data and requires no API key. Prices and day boundaries can differ between exchanges and USD/USDT pairs.
6. WHAT THE RESEARCH DOES — AND DOES NOT — SHOW
Fixed default rules were examined on historical daily BTC, ETH, SOL, BNB and XRP USD series from January 2021 through September 10, 2026. No parameter search was performed for this study.
The event study measures directional price change from the next daily open after a signal to the close of the tenth following candle. A simple 0.30 percentage-point round-trip cost deduction was also examined. This is not a portfolio backtest: it does not model funding, leverage, actual fills, stops or compounding.
In the 2024–2025 validation window, 67 filtered events had a mean directional change of +1.114% and a median of −1.236%. The unfiltered channel baseline, with the same cooldown, averaged +1.240% across 159 events. The worst filtered adverse excursion within an observation window was −34.744%.
The later 2026 window contained only 15 filtered events, of which 14 were bearish. This small, directionally concentrated sample does not establish a general trading edge. The five coins are also a selected, correlated sample. The evidence is mixed, and positive average event returns should not be interpreted as verified strategy profitability.
SCOPE & ORIGINALITY
This implementation combines a prior-bar Donchian-style channel, standard EMAs and Wilder ATR with directional candle location, extension limits and a shared signal cooldown. The code was written independently for this tool. Its contribution is the explicit qualification process and closed-bar status display, not a claim to have invented the underlying indicators.
Crypto Breakout Compass does not place orders or prescribe position sizes, stop-losses or exits. Use it to inspect market structure and test hypotheses; a marker is not a guarantee of follow-through. Indicateur
Indicateur
RSI + S/R + FVG + BOS + CHoCH SetupRSI + Support/Resistance + FVG + BOS + CHoCH
This indicator combines five popular technical analysis concepts into one structured market setup: RSI, Support & Resistance, Fair Value Gaps (FVG), Break of Structure (BOS), and Change of Character (CHoCH).
The goal is to identify higher-quality potential long and short setups by requiring multiple confirmations instead of relying on a single indicator.
How the Indicator Works
🟢 Long / BUY Setup
A bullish setup is generated when the following conditions align:
Support: Price is trading near a recent swing-low support area.
BOS / CHoCH: The market confirms bullish structural strength by breaking a previous swing high.
Bullish FVG: A bullish Fair Value Gap is detected or price returns into the latest bullish FVG.
RSI: RSI is above the configured bullish level, confirming bullish momentum.
When the required conditions are satisfied, the indicator displays a BUY signal.
Basic flow:
Support → Bullish BOS/CHoCH → Bullish FVG → RSI Confirmation → BUY
🔴 Short / SELL Setup
A bearish setup is generated when:
Resistance: Price is trading near a recent swing-high resistance area.
BOS / CHoCH: The market confirms bearish structural weakness by breaking a previous swing low.
Bearish FVG: A bearish Fair Value Gap is detected or price returns into the latest bearish FVG.
RSI: RSI is below the configured bearish level, confirming bearish momentum.
When the required conditions are satisfied, the indicator displays a SELL signal.
Basic flow:
Resistance → Bearish BOS/CHoCH → Bearish FVG → RSI Confirmation → SELL
Main Features
RSI Confirmation
Uses RSI to help determine whether bullish or bearish momentum is present. The RSI levels can be customized according to your trading style.
Support & Resistance
Recent swing highs and swing lows are used to identify potential resistance and support areas.
BOS — Break of Structure
Detects when price breaks an important recent swing high or swing low, helping identify continuation or structural changes.
CHoCH — Change of Character
Helps identify potential changes in market direction when price breaks structure against the previously established trend.
FVG — Fair Value Gap
Identifies three-candle price imbalances and displays bullish and bearish FVG zones directly on the chart.
Signal Window
The structure confirmation can remain valid for a configurable number of bars, allowing price time to return toward an FVG or key level.
Alerts
BUY and SELL alert conditions are included so you can create TradingView alerts when a setup is confirmed.
Recommended Usage
The indicator is designed to be used as a confluence-based confirmation tool, rather than as a standalone automatic trading system.
For example, a trader could wait for:
1. Price to approach support.
2. A liquidity reaction or market-structure shift.
3. Bullish BOS/CHoCH confirmation.
4. A bullish FVG to form or become available for a retracement.
5. RSI to confirm bullish momentum.
6. BUY signal to appear.
7. Stop-loss to be placed below the relevant swing/support.
8. Take-profit to be based on a predefined risk/reward ratio or the next major resistance/liquidity area.
The opposite process can be used for short trades.
Important Note
This indicator does not guarantee profitable trades. Market conditions, volatility, timeframe, spread, liquidity and execution can significantly affect results.
BOS, CHoCH, FVG, support/resistance and RSI are interpreted using predefined mathematical rules in the script. These definitions may differ from how individual traders manually identify them.
Always test the indicator on your preferred market and timeframe before using it with real money, and use appropriate risk management.
Best practice: combine the signals with higher-timeframe market structure, liquidity levels and disciplined risk management rather than taking every BUY or SELL signal automatically. Indicateur
FVG Precision | Exact Labels | 2R | WebhookFVG Precision | Exact Labels | 2R | Webhook is a Fair Value Gap (FVG) trading indicator designed to identify structured bullish and bearish FVG setups, wait for price to return into the imbalance, confirm rejection, and then display a complete trade setup with entry, stop loss, take profit, and trade direction.
HOW THE INDICATOR WORKS
The indicator looks for bullish and bearish Fair Value Gaps created by strong price displacement.
A bullish FVG is detected when price creates an upside imbalance between candles.
A bearish FVG is detected when price creates a downside imbalance between candles.
The script uses ATR-based filters to reduce very small or weak gaps and also checks for displacement strength before accepting an FVG.
After an FVG is identified, the indicator waits for price to return and fully fill the qualifying area.
When rejection confirmation is enabled, a trade signal is not generated simply because price touches the FVG. Price must fill the zone and then show confirmation back in the expected direction.
For bullish setups, the script looks for bullish rejection and a close back through the required portion of the FVG.
For bearish setups, the script looks for bearish rejection and a close back through the required portion of the FVG.
This helps filter out many simple touches that do not produce a confirmed reaction.
ENTRY
Once all conditions are satisfied, the indicator creates either a BUY or SELL signal.
The official entry price is based on the closing price of the candle that confirms the setup.
The indicator displays:
• BUY or SELL direction
• Exact entry price
• Signal time in Eastern Time
• Active entry FVG
• Stop Loss
• Take Profit
• Current trade status
STOP LOSS
Stops are structure-based rather than using an arbitrary fixed distance.
For BUY setups, the stop is placed below the most recently confirmed swing low, including the selected stop buffer.
For SELL setups, the stop is placed above the most recently confirmed swing high.
This allows the risk level to adapt to the current market structure.
TAKE PROFIT
The default take-profit target uses a 1:2 risk-to-reward ratio.
This means:
Risk = 1R
Target = 2R
For example:
If the distance between entry and stop loss is 5 points, the take-profit target is positioned approximately 10 points from the entry in the profitable direction.
The 2R level is automatically calculated for every qualifying setup.
ONE ACTIVE TRADE AT A TIME
The indicator is intentionally designed to manage only one active signal at a time.
While a BUY or SELL setup is active, the indicator will not issue another new trade signal.
A new setup becomes eligible after the current trade ends through:
• Take Profit
• Stop Loss
• FVG invalidation
• Weekend reset
This design helps prevent conflicting BUY and SELL signals from being active simultaneously.
ACTIVE FVG INVALIDATION
The original FVG remains part of the trade-management logic.
If price closes through the active FVG in the invalid direction before the trade completes, the indicator can classify the setup as:
FVG BROKEN
The active setup is then cancelled.
TRADING SESSION
Signals are restricted to the futures trading window used by this indicator:
Sunday 6:00 PM ET
through
Friday 4:00 PM ET
Saturday is disabled.
A weekend reset occurs Friday at 4:00 PM Eastern Time.
SUPPORTED CHART TIMEFRAMES
The indicator can visually operate on:
• 1 Minute
• 5 Minute
• 15 Minute
• 30 Minute
RECOMMENDED / PRIMARY TIMEFRAME: 15 MINUTES
The 15-minute timeframe is the primary timeframe this version is designed to be used with.
Compared with the lower timeframes, the 15-minute chart generally provides a cleaner view of market structure and reduces the amount of short-term price noise seen on very small candles.
IMPORTANT WEBHOOK RULE:
Only signals generated on the 15-minute timeframe are permitted to send trade-copier webhook events.
1 Minute:
Indicator can display setups, but website webhook transmission is OFF.
5 Minute:
Indicator can display setups, but website webhook transmission is OFF.
15 Minute:
Indicator displays setups AND webhook transmission is ON.
30 Minute:
Indicator can display setups, but website webhook transmission is OFF.
This restriction was intentionally added so an external trade copier or automation system receives only the selected 15-minute signals rather than signals from multiple chart timeframes.
WEBHOOK / AUTOMATION SUPPORT
The indicator contains machine-readable webhook functionality for integration with an external trade-management or trade-copying application.
Supported webhook lifecycle events include:
• ENTRY
• TP_HIT
• SL_HIT
• FVG_BROKEN
• WEEKEND_RESET
Every new trade receives a unique signal ID.
That same signal ID follows the trade throughout its lifecycle so an external application can associate subsequent events with the correct original signal.
ENTRY webhook data can include:
• Unique Signal ID
• Symbol
• TradingView Symbol
• BUY / SELL direction
• Timeframe
• Signal timestamp
• Entry price
• Stop Loss
• Take Profit
• Risk/Reward
This provides a structured foundation for webhook-based alerts and external automation.
BENEFITS
The purpose of FVG Precision is to make Fair Value Gap trading more structured and easier to interpret.
Key benefits include:
• Automatically identifies qualifying bullish and bearish FVGs
• Uses displacement and ATR filters to reduce weak setups
• Waits for FVG interaction instead of signaling immediately
• Optional rejection confirmation helps filter simple touches
• Automatically identifies BUY and SELL opportunities
• Displays exact entry prices
• Automatically calculates structure-based stop losses
• Automatically calculates a 2R profit target
• Displays the active FVG visually
• Prevents multiple active signals at the same time
• Provides FVG invalidation logic
• Restricts signals to the selected trading session
• Provides BUY, SELL, TP, SL and FVG Broken alerts
• Supports structured webhook integration
• Restricts automated webhook transmission to the preferred 15-minute timeframe
IMPORTANT
This indicator is a decision-support and automation tool. Signals are based on predefined technical conditions and do not guarantee profitable trades.
Historical or visually successful setups do not guarantee future results. Slippage, liquidity, market volatility, news events, execution quality, commissions, and other market conditions can materially affect actual results.
Users should test the indicator thoroughly and use appropriate risk management before using any signal for live trading. Indicateur
