Strong Risk Management | ProjectSyndicateStrong Risk Management turns trade planning into an institutional-grade pre-trade cockpit. Click your Entry, Stop, and three Take-Profit levels straight onto the chart and the tool instantly sizes the position, derives your leverage and margin, estimates the liquidation price, scores the setup, and stress-tests it against your prop-firm rules — all on two clean Bloomberg-amber panels. Every figure is computed live from your own inputs and the symbol's real tick size, not hard-coded, so the numbers describe the exact trade you are about to take, right now.
🎯 Click-to-Place Interactive Levels — drop Entry, Stop Loss, and TP1 / TP2 / TP3 directly on the chart and drag them whenever you want, just like native drawing tools. An anchor-time input lets you pin the setup to a specific bar, direction (Long / Short) is auto-detected from where your stop sits, and every level you place is always respected — the auto R-multiples only fill in the targets you leave blank.
🧮 Fee-Aware Position Sizing — the engine uses the classic fixed-fractional model and sizes the position so a full stop-out equals exactly the risk you defined, with entry and exit fees folded into the math. Choose your risk as a percentage of balance, a percentage of allocated trade capital, or a fixed cash amount, and read the precise contracts/size and notional position value it produces.
⚡ Three Leverage Modes + Liquidation Engine — run Isolated Capital (leverage derived from the margin you commit), Fixed Leverage (you set the multiplier), or Auto-Safe Leverage, which automatically picks the highest leverage that still keeps your liquidation price safely beyond your stop by a configurable buffer. The panel shows effective trade leverage, account leverage, maintenance margin rate and amount, the estimated liquidation price, and how many times further it sits than your stop — with a loud warning if liquidation would ever come before your stop is hit.
📊 Dual Bloomberg-Amber Panels — Panel 1 (Risk Console) lays out balance, trade capital, risk model, max loss, the full setup (entry, stop, stop distance, break-even, size, position value), the leverage and liquidation block, and the setup-quality verdict. Panel 2 (Prop Guardrails + Take-Profit Plan) handles the funded-account rule checks and the full target ladder. Position each panel independently anywhere on the chart.
🛡️ Prop-Firm Guardrails — purpose-built for funded and challenge traders. Set your account size, phase (Challenge / Verification / Funded), daily loss limit, maximum drawdown (with a trailing option), profit target, per-trade risk cap, and consistency rule, then see this trade scored against every one of them with SAFE / CAUTION / VIOLATION lights and an overall status. It also tells you how many trades like this you can take before breaching your daily and max-drawdown budgets, how much budget is left, and how many wins remain to the profit target.
🎚️ Take-Profit Ladder with FULL / SLICE — each target shows its price, R multiple, and allocation %, plus the dollars it books two ways: FULL (if you closed the whole position there) next to SLICE (what your partial allocation actually books). The plan rolls up into a Plan Profit row with blended R and ROI on margin, so partial exits never look inconsistent against a full-size stop again.
↔️ Reward : Risk Verdict — a single, color-coded 1 : x line grades the whole plan EXCELLENT / GOOD / MARGINAL / POOR, so a setup whose targets sit inside the stop distance screams at you instead of hiding inside an average. A companion "1R Value (full, net)" read exposes the fee drag by showing what one clean R is actually worth in cash after costs.
★ 0–10 Setup Quality Score — a composite grade blending reward-to-risk quality, risk-per-trade discipline, liquidation safety, and prop-rule headroom into one number and an ELITE / STRONG / FAIR / WEAK tier, for a fast go/no-go read before you commit.
🟢 Risk-Free-After-TP1 Read — shows exactly what closing your first partial locks in, and confirms that trailing your stop to break-even afterwards takes the remaining downside to near zero — the de-risking move spelled out in dollars.
🖥️ On-Chart Trade Map — the full trade is drawn as banded zones (profit, loss, a liquidation-danger band, and a runner zone beyond TP3), precise level lines for entry, stop, every target, break-even, and liquidation, and right-edge labels carrying each level's price, R multiple, and cash value at a glance.
🔴 Honest Live Trade Tracker — once price reaches your entry, the tool tracks floating P&L and then prints a clear ✓ TARGET HIT or ✘ STOPPED OUT outcome. Losers are never hidden, and same-bar ambiguity is always resolved pessimistically to the stop, so the read stays truthful.
🔔 Native Alerts — fire on entry triggered, target hit, stopped out, and any prop-firm guardrail violation, so you can wire the cockpit straight into your workflow.
🧩 Fully Customizable — choose each panel's position (Top / Middle / Bottom paired with Left / Right) and text size, pick your quote-currency symbol, set entry and exit fees, the maintenance-margin rate and liquidation safety factor, your R multiples and allocation split, auto-vs-manual targets, and toggle the chart zones, liquidation line, break-even line, and live tracker — all from the settings menu, no code editing required.
🎯 Why this is different — most position-size calculators hand you a lot size and stop there. This is a complete pre-trade cockpit: it sizes the trade, derives leverage and margin, estimates liquidation, scores the setup, grades the reward-to-risk honestly with fees included, and checks the whole thing against your funded-account rules — two panels that answer "how big, how safe, and is this even worth taking?" before you click buy or sell.
🚀 Where to use it — works on any symbol and timeframe. Built with crypto perpetuals, futures, and margin/leverage trading in mind, but equally useful for forex and stocks: plan the trade, validate the sizing and prop-rule headroom, then execute with the levels already mapped on your chart.
⚠️ Important — this is a research and decision-support tool, not a buy/sell system, and it makes no performance guarantees. Liquidation price, fees, maintenance margin, and leverage figures are simplified estimates and can differ from your specific broker or exchange — always verify against their exact contract specifications before sizing a live position. Nothing here is financial advice. Pair it with your own analysis and risk management. Indicatore
0.75% Rule - Trade ProjectionA position-sizing and reward-projection overlay for discretionary traders.
You place an entry and a stop on the chart, and the script returns the
position size that risks a fixed fraction of your account, then projects
your reward targets as R-multiples. Direction (long or short) is inferred
from where you click. The focus is getting currency-correct sizing right
with as little input as possible, and catching the sizing mistakes that
quietly distort risk.
📊 What it does
- Sizes the trade so the entry-to-stop distance equals a fixed percentage
of account equity. Default is 0.75%, a conservative fixed-fractional
risk rule, but the percentage is adjustable.
- Reports the result in the correct unit for the instrument: lots and
units for forex, or contracts/shares sized off point value elsewhere.
- Projects a configurable number of reward targets spaced in R-multiples
(1R, 2R, 3R ...), each labeled with its R-multiple and the reward amount
in your account currency.
- Draws the risk zone (entry to stop) and reward zones, plus an info panel
summarizing account, risk, direction, stop distance, size and R:R.
⚙️ How it works
- Risk amount = account size x risk %. Position size = risk amount /
(stop distance x point value x conversion rate). For forex this is
converted into standard lots.
- Direction is read from the two clicks: a stop below entry is a long,
a stop above entry is a short.
- Instrument detection is automatic (forex, JPY pairs, metals, index,
crypto) via symbol info, with a manual override if you need it.
- Account-to-quote currency conversion is explicit and manual. The
account-currency dropdown is a display label only; the single field
that adjusts lot size is the conversion rate. The panel flags the two
mistakes that actually distort risk: leaving the rate at 1.0 on a
mismatched pair, and applying a non-1.0 rate when the currencies match.
- An optional ATR-based stop can override the clicked stop (length and
multiplier adjustable). Direction still comes from your clicks.
- Repaint-free by construction: no higher-timeframe requests, entry and
stop are static prices, and all drawing is deterministic.
📋 How to use it
1. Add the script. It prompts you to click an entry price, then a stop.
2. Set account size and risk % in settings (default 0.75%).
3. If your account currency differs from the pair's quote currency, enter
the conversion rate (account currency per one unit of quote currency).
The panel warns you when a rate is needed.
4. Read position size, R:R and target levels from the panel and on-chart
labels.
5. For a new setup, open the indicator menu, choose Reset points, then
re-click entry and stop. The Re-arm toggle pauses the current
projection so a stale setup cannot mislead you.
## Notes
- This is a planning and risk-discipline tool, not a signal generator and
not financial advice. It does not place trades.
- For non-forex instruments, sanity-check the point value against your
broker's contract specs before trusting the size.
- Inputs are absolute prices, so after switching symbols you may need to
re-click entry and stop. The script detects an off-scale setup and
prompts you. Indicatore
Options Probabilistic Bounds [InferredSignals]█ OVERVIEW
Options Probabilistic Bounds (OPB) draws a forward price corridor on the daily chart — an upper and a lower band projected over a horizon you choose (1 to 20 trading days) at a confidence level you choose (default 95%).
In plain words: given how this stock has actually been moving, where could the CLOSING price realistically land over the next few days? The corridor is calibrated so that, at each horizon, roughly your chosen percentage of closes finish inside it.
It is built for option sellers — short puts in particular. The lower band is a statistically calibrated reference for where to place a strike. And because the corridor takes no view on direction, OPB adds something most volatility tools don't: a drift readout that tells you which side currently has the wind at its back, so you can see whether puts or calls are the safer leg to sell right now.
No option-chain data is used anywhere — no implied volatility, no greeks, no implied-vol skew. "Options" describes who the tool is for, not what it reads. OPB is a pure statistical model of the underlying's own price history.
█ WHAT MAKES IT ORIGINAL
• Per-symbol MAP-style calibration, entirely in Pine.
Parameters are fitted to each ticker by minimizing a penalized negative log-posterior — Student-t likelihood, Bayesian-style priors, and residual-moment penalties combined in one objective — searched multi-start and coarse-to-fine, with the winner chosen on residual quality, not likelihood alone. The result: less in-sample curve-fitting and a steadier calibration than a plain best-fit vol model.
• Two-component, leverage-aware GJR-GARCH variance.
A slow long-run level plus a faster mean-reverting short-run component, so a volatility shock decays over a few days instead of holding the corridor wide for weeks. Negative-return days get a specific leverage response — downside risk is modeled, not averaged away.
• Filtered historical tails with EVT extension.
The residual body is empirical (Filtered Historical Simulation); each tail is extended with a Generalized Pareto fit whose shape and scale are estimated in closed form by Probability-Weighted Moments (Hosking-Wallis) — more stable than method-of-moments or MLE on the small tail samples you actually get. The shape is floored at zero so equity tails are never assumed bounded, and with too few exceedances it falls back to empirical quantiles rather than overfitting noisy extremes.
• Data-driven downside asymmetry.
The downside leverage increment is routed fully to the lower band; the upper band receives only a data-driven semivariance fraction. The corridor widens below only as far as the symbol's own history justifies.
█ THE DRIFT READOUT — WHICH SIDE TO SELL
The bands are DRIFT-NEUTRAL by design: centered on today's close, never tilted up or down. Over 1–20 days, direction is effectively unestimable from price history — and a wrong directional bet would quietly under-reserve the downside, the worst place to be short a put. So the whole band width is spent on dispersion, none of it gambled on a direction the data can't support.
OPB still measures the recent drift and reports it as a small number next to σ, in :
• ↑ : favors puts — the stock has been drifting up, so the put leg has had a cushion.
• ↓ : favors calls — drifting down, the call leg has had the cushion.
• flat — no meaningful drift.
Practical read: it is usually safer to sell the leg the drift is moving AWAY from — sell puts into an uptrend, calls into a downtrend. The wind at your back.
In the backtest this shows up cleanly: on a strongly trending stock the drift-neutral bands breach the TREND side more often than the nominal rate, while the opposite side stays close to it. This is expected, not miscalibration — the corridor is honestly direction-agnostic, so the band width itself stays unbiased and the extra breaches on the trend side are pure drift. The takeaway matches the readout: the side you should be selling — the one the trend is moving away from — is the side that stays calibrated. One caveat: the drift readout is the RECENT past, never a forecast — a strong reading is often exactly where mean-reversion becomes most likely. The fat-tailed band remains the real safety net.
MU · daily · walk-forward, monthly recals. On this uptrend the trend side (Brch+) runs well above nominal while the put-sell side (Brch−) holds at/below its 2.5% target — the drift asymmetry described above, in numbers.
█ HOW TO USE IT
• Set a horizon (e.g. 5 days) and a confidence level (e.g. 95%).
• Read the upper/lower band at your horizon as a strike-placement reference.
• Glance at the drift readout to pick the safer leg — puts vs calls.
• Turn on the walk-forward backtest and check: Close-in ≈ your confidence level; Brch+ / Brch− near the per-side rate and reasonably balanced; NT dn = how often a lower-band strike was never touched over the whole path — the number that matters for assignment.
• Optional PIT diagnostic: D ≈ 1 well-sized, D < 1 too wide, D > 1 too narrow. Read h = 1 first (least affected by overlapping windows).
• Anchor mode D-1…D-5 freezes the corridor as it looked N days ago, calibrated only on data known then — handy to inspect how past corridors held.
█ SETTINGS
Defaults are robust and research-oriented: Horizon 5d · Confidence 95% · Calibration window 252d · Two-component variance ON · Leverage-asymmetric bands ON · Earnings-gap neutralization ON.
"Long-run half-life" sets how steady the long-run volatility baseline is — a higher value keeps it stiffer after a shock, which (with the two-component model on) reduces post-shock over-widening.
Every input ships with a plain-language tooltip. Daily timeframe only. Calibration runs on the last bar for performance; walk-forward recalibration is monthly, a Pine execution-time constraint.
█ WHAT IT IS NOT
• Not a directional forecast — the corridor is drift-neutral, centered on the anchor close.
• Not a joint path bound — confidence targets the close at each horizon separately; the chance of touching a band along the path is the separate No-Touch figure (see backtest).
• Not an option-pricing model — no implied volatility, greeks, or option-chain data.
• Not a guarantee — the backtest and PIT diagnostics are historical calibration evidence, not a promise of future coverage.
Full methodology, equations, and references are documented section by section in the source code. This is a research and educational tool, not investment advice.
Indicatore
Risk Navigator Levels [JOAT]Risk Navigator Levels is an open-source Pine Script v6 overlay that turns confirmed trend-engine flips into a clean visual trade planning map. It draws an entry line, stop line, TP1, TP2, TP3, R-multiple labels, and optional risk/reward boxes after a confirmed setup.
The script is not a full trading system. Its purpose is visual planning: once its internal engine confirms a new long or short state, it freezes the entry, stop, and target levels so the user can inspect structure, distance, and status without manually drawing every line.
Core Concepts
1. Trend Engine Gate
The engine compares a fast EMA, slower EMA basis, ATR gate, and VWAP. A long setup requires the fast line above the basis, price above the upper gate, price above VWAP, and fast-line slope agreement. Shorts use the mirrored logic.
riseReady = fastLine > baseLine and close > upperGate and close > vwapLine and fastLine > nz(fastLine , fastLine)
fallReady = fastLine < baseLine and close < lowerGate and close < vwapLine and fastLine < nz(fastLine , fastLine)
2. Confirmed Direction Change
The script only creates a new level set when the engine direction changes on a confirmed bar.
confirmedLong = barstate.isconfirmed and engineDir == 1 and previousDir != 1
confirmedShort = barstate.isconfirmed and engineDir == -1 and previousDir != -1
3. Stop Selection
The stop is based on recent swing lookback and an ATR floor. This prevents the stop from being unrealistically tight relative to current volatility.
4. R-Multiple Targets
Once risk is calculated, TP1, TP2, and TP3 are plotted as multiples of that risk. The default values are 1R, 2R, and 3R.
5. Status Tracking
After a setup, the script tracks whether the stop or each target has been touched on confirmed bars and updates labels and dashboard status.
Features
Confirmed setup engine: Uses EMA, ATR gate, VWAP, and slope checks
Frozen entry and stop: Levels are created at setup time
TP1, TP2, TP3 targets: Target levels are R-multiple based
Risk/reward boxes: Optional green and red boxes show distance visually
Status labels: Shows whether SL, TP1, TP2, or TP3 has been touched
Right-edge labels: Keeps levels readable without crowding older bars
Dashboard: Shows mode, engine state, R size, targets, and status
Alerts: Setup, stop touch, and target touch conditions
Input Parameters
Visuals:
Palette Preset: Selects color pair
Level Reach Bars: Forward extension of lines and boxes
Risk/Reward Boxes: Toggles the boxes
Engine:
Source: Price source
Fast Length: Fast EMA length
Base Length: Slow EMA basis length
ATR Length: Volatility length
Confirmation Gate: ATR gate around the basis
Risk:
Stop Lookback: Swing lookback used for stop reference
ATR Stop Floor: Minimum stop distance multiplier
TP1 R / TP2 R / TP3 R: Target multiples
How to Use This Indicator
Step 1: Wait for a Confirmed Setup
The script draws a new plan only after its engine direction changes on a confirmed bar.
Step 2: Inspect R Size
The dashboard R size shows the distance between entry and stop. Large R size means the setup requires wider risk.
Step 3: Monitor Touch Status
Labels and dashboard status update when the stop or targets are touched after the setup bar.
Step 4: Use as a Planning Tool
The levels help visualize trade structure. They do not replace account-level risk controls.
Indicator Limitations
This is a visual planning tool, not a complete execution strategy
The engine can produce late signals during fast reversals
Targets are mathematical R levels, not forecasts
A stop touch and target touch can occur in the same bar on some candles; intrabar order cannot be known from closed OHLC alone
Originality Statement
Risk Navigator Levels is original in its integration of a confirmed trend gate, VWAP location, ATR stop floor, frozen R-level drawing system, and live status tracking. It is built as original Pine v6 code for transparent visual planning.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Levels shown by the script are visual research levels and may not match actual execution conditions. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indicatore
BB Squeeze BreakoutBB Squeeze Breakout
Precision Breakout is a volatility compression and breakout indicator based on Bollinger Bands, Keltner Channels, momentum filters, volume confirmation, and ATR-based risk levels.
The goal of this tool is to help traders read when price is compressing, when volatility starts expanding again, and whether a breakout has enough confirmation to be considered stronger or weaker.
This indicator is not a trading system by itself. It is made to support chart reading and should be used together with market structure, support and resistance, liquidity zones, session context, and personal risk management.
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MAIN IDEA
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Markets often move through two phases:
1. Compression
Price contracts, Bollinger Bands become tighter, and the market prepares for a possible expansion.
2. Expansion
Price breaks outside the bands, volatility increases, and a directional move can start.
This script tracks those phases with:
- Bollinger Bands
- Keltner Channels
- Squeeze detection
- Bollinger Bandwidth
- %B position
- Candle quality
- RSI momentum
- Volume expansion
- OBV confirmation
- MFI confirmation
- A/D confirmation
- ADX trend strength
- MACD confirmation
- EMA trend filter
- ATR-based SL and TP levels
- A dashboard for quick reading
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HOW THE SIGNALS WORK
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A bullish breakout appears when price closes above the upper Bollinger Band for the required number of confirmation bars.
A bearish breakout appears when price closes below the lower Bollinger Band for the required number of confirmation bars.
The script then checks additional conditions such as candle body quality, momentum, volume, OBV slope, MACD behavior, ATR expansion, Bollinger Bandwidth expansion, and post-squeeze context.
The final signal depends on the confluence score and the selected filters.
A strong signal means that the breakout structure is present and the required confirmations are aligned.
A weak signal means that price broke outside the Bollinger Band, but the score or one of the active filters was not strong enough.
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MINI TUTORIAL FOR BEGINNERS
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1. Add the indicator to the chart.
2. Start with the default settings.
3. Look for a squeeze phase, where Bollinger Bands compress inside the Keltner Channel.
4. Wait for a squeeze release or a confirmed breakout outside the Bollinger Bands.
5. Check the dashboard:
- Squeeze: shows if compression is active.
- Post-SQ: shows if the market recently left a squeeze.
- BandWidth: shows if volatility is low or expanding.
- %B: shows where price is inside or outside the bands.
- SNIPER: shows the current confluence score.
- Signal: shows BUY, SELL, WEAK BUY, WEAK SELL, or WAIT.
6. If a signal appears, check if it agrees with the trend, support/resistance, and market structure.
7. Use the ATR-based Entry, SL, TP1, TP2, and TP3 levels as visual planning references.
8. Do not take a signal blindly. Always check the context before making a decision.
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EXAMPLE CASES
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Example 1: Bullish post-squeeze breakout
Price has been moving sideways, the Bollinger Bands are tight, and the squeeze is active. Then price closes above the upper Bollinger Band with a strong candle, rising volume, improving RSI, and expanding bandwidth. The dashboard shows a bullish score above the minimum threshold. A BUY label can appear, and the ATR risk levels show Entry, SL, TP1, TP2, and TP3.
Example 2: Bearish breakdown
Price loses support and closes below the lower Bollinger Band. RSI moves below 50, OBV weakens, MACD confirms downside pressure, and the candle closes near the low of its range. If the score and active filters agree, a SELL label can appear.
Example 3: Weak breakout
Price closes outside the Bollinger Band, but the candle is small, volume is not expanding, or momentum is weak. In this case, the script can show a WEAK signal instead of a confirmed one. This means the structure exists, but confirmation is not strong enough.
Example 4: Head fake
Price briefly breaks outside a band, then moves back inside the Bollinger structure. The script can mark this as a possible head fake. This helps identify failed breakouts, especially in choppy or low-volume markets.
Example 5: Band walk
During strong trends, price can continue moving along the upper or lower Bollinger Band. The script marks these band walk conditions to show possible trend continuation behavior.
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INPUTS EXPLAINED
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BOLLINGER BANDS
BB Length
Controls the moving average period used for the Bollinger Band basis. The default value is 20, which is the classic Bollinger setting.
BB StdDev
Controls the standard deviation multiplier used to build the upper and lower bands. The default value is 2.0, which is the common standard setting.
Neon Glow
Adds a visual glow effect around the Bollinger Bands.
Heat Zone
Colors the area between the Bollinger Bands depending on price position inside the band range.
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KELTNER / SQUEEZE
Keltner Length
Controls the length used for the Keltner Channel calculation.
Keltner Mult
Controls the ATR multiplier used to build the Keltner Channel.
Show Keltner
Shows or hides the Keltner Channel on the chart.
Post-Squeeze Window
Defines how many bars after a squeeze release are still considered part of the post-squeeze phase.
Squeeze Ready Lookback
Looks back over a selected number of bars to detect when Bollinger Bandwidth is near a low-compression zone.
Show Squeeze Dots
Shows dots during squeeze conditions and squeeze release events.
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BREAKOUT SIGNALS
Confirmation Bars
Defines how many consecutive closes outside the Bollinger Band are required before confirming a breakout.
Show BUY/SELL Labels
Shows or hides the main BUY and SELL labels.
Show Arrows
Shows or hides the arrow markers on the chart.
Show Tiny Info Labels
Shows or hides smaller labels such as weak signals and head fake warnings.
Head Fake Lookback
Controls how many bars are checked to detect a failed breakout after price moved outside a band.
Band Walk Bars
Controls how many bars are required to detect a band walk condition.
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SNIPER ENGINE
Min Confluence Score
Sets the minimum score required for a confirmed signal. A higher value gives fewer signals but requires stronger confirmation.
Min Body/Range Ratio
Defines how large the candle body must be compared to the full candle range. This helps filter weak candles and dojis.
Close Must Be In Top/Bot %
For bullish candles, the close should be near the top of the range. For bearish candles, the close should be near the bottom of the range.
ATR Expansion Factor
Checks if current ATR is expanding compared to its average. This helps confirm volatility expansion.
Require Momentum Acceleration
Uses momentum behavior, mainly RSI acceleration, as part of the confirmation logic.
Require Volume Expansion
Uses volume expansion as part of the breakout quality reading.
Require BB Width Expansion
Checks if Bollinger Bandwidth is expanding during the breakout.
Anti-Wick Rejection Filter
Helps reject breakouts when the previous candle shows a strong wick against the breakout direction.
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FILTERS
Use RSI Filter
Activates or disables RSI confirmation.
RSI Length
Controls the RSI calculation period.
Use OBV Filter
Activates or disables OBV confirmation.
Use Volume Spike Filter
Activates or disables volume spike confirmation.
Volume MA Length
Controls the moving average length used to compare current volume.
Volume Min x MA
Defines how much current volume must exceed the volume average.
Use MFI Filter
Activates or disables Money Flow Index confirmation.
MFI Length
Controls the MFI calculation period.
Use A/D Filter
Activates or disables Accumulation/Distribution confirmation.
Use ADX Filter
Activates or disables ADX trend strength confirmation.
ADX Length
Controls the ADX calculation period.
ADX Min
Defines the minimum ADX value required when the ADX filter is active.
Use MACD Filter
Activates or disables MACD confirmation.
Use EMA Trend Filter
Activates or disables EMA trend confirmation.
EMA Fast
Controls the fast EMA length.
EMA Slow
Controls the slow EMA length.
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RISK MANAGEMENT
Show SL / TP
Shows or hides Entry, Stop Loss, and Take Profit levels.
Show SL/TP Zones
Shows or hides the colored risk and target zones.
Show SL/TP Labels
Shows or hides the Entry, SL, TP1, TP2, and TP3 labels.
SL ATR x
Controls the ATR multiplier used to calculate the Stop Loss distance.
TP1 ATR x
Controls the ATR multiplier used to calculate the first Take Profit level.
TP2 ATR x
Controls the ATR multiplier used to calculate the second Take Profit level.
TP3 ATR x
Controls the ATR multiplier used to calculate the third Take Profit level.
Enable TP3
Shows or hides the third Take Profit level.
RM Label Offset Bars
Moves the risk management labels slightly to the right of the current price area. The labels and zones update automatically as new candles appear.
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DASHBOARD
Show Dashboard
Shows or hides the dashboard panel.
Position
Moves the dashboard to the selected chart corner.
High Contrast Panel
Makes the dashboard easier to read with stronger background contrast.
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VISUAL ELEMENTS
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The indicator can display:
- Bollinger Bands
- Bollinger glow effect
- Heat zone between bands
- Keltner Channels
- Squeeze dots
- Squeeze release dots
- BUY and SELL labels
- Weak breakout labels
- Head fake labels
- Band walk markers
- ATR-based Entry, SL, TP1, TP2, TP3 levels
- Colored risk and target zones
- A dashboard with market state information
────────────────────────────
IMPORTANT NOTES
────────────────────────────
This script is an indicator, not a strategy.
It does not place trades.
It does not guarantee profitable results.
It does not predict the future.
Signals can fail in ranging, low-liquidity, high-spread, or news-driven market conditions.
Users should test the indicator on their own symbols, timeframes, and trading style before using it in live market decisions.
Risk management remains the responsibility of the user. Indicatore
Indicatore
Momentum Leader ATR Risk MapMomentum Leader ATR Risk Map is a position-management indicator designed to help traders visualize where a leading stock is trading relative to its 50-period SMA and ATR-based extension levels.
The goal is not to generate automatic buy or sell signals. Instead, this tool provides a structured risk map for momentum leaders by combining:
• ATR extension from a configurable SMA baseline
• Positive extension bands for profit-taking and risk management
• Negative extension bands for pullback, add-zone, and damage-control reference levels
• Relative strength scoring versus a benchmark such as SPY
• SMA trend status
• Optional liquidity, sector RS, and industry RS filters
• Nearest upside and downside map levels shown directly in the table
By default, the indicator uses a Daily anchor and 50-period SMA baseline, making it suitable for swing trading and longer-term position management in momentum leaders. A 24-hour / 1440-minute anchor is also available for users who prefer to evaluate instruments with extended-hours or near-24-hour trading behavior.
Core Risk Map Levels:
Positive Extension Zones:
• +2.95x ATR: High-RS leader zone
• +4.56x ATR: Super momentum zone
• +5.27x ATR: Approximate 2σ risk zone
• +7.83x ATR: Approximate 3σ profit zone
• +10.00x ATR: Extreme / trail-only zone
Negative Extension Zones:
• -1.00x ATR: Pullback
• -2.00x ATR: Add zone
• -3.00x ATR: Deep pullback
• -4.56x ATR: Damage control
• -5.27x ATR: Washout / reclaim-needed zone
The table is designed to answer a few practical questions quickly:
• Is the stock still acting like a leader?
• Is price extended, normal, or damaged relative to the SMA/ATR map?
• Is the SMA trend still constructive?
• Is relative strength still intact across multiple lookback windows?
• Where is the nearest upside ATR map level?
• Where is the nearest downside ATR map level?
Relative Strength Logic:
The RS Score compares the current symbol against a user-selected benchmark over 21, 63, 126, and 252 anchor bars. A score of 4 of 4 means the symbol is outperforming the benchmark across all four lookback windows.
Optional Advanced Inputs:
The indicator includes optional sector and industry RS inputs for users who want to manually compare the stock against relevant ETFs such as XLK, SMH, IGV, XBI, XLE, XLF, or other sector/industry proxies. These are turned off by default to keep the tool frictionless.
A liquidity filter is also available, but it is turned off by default so the indicator can remain focused on the risk map itself.
Credit and Inspiration:
This indicator was inspired by concepts shared by several market educators and traders:
• Jeff Sun / @jfsrev
x.com
• @i_manage_risk
x.com
• StratLab / @StratLaboratory
x.com
Their publicly shared work on relative strength, momentum leadership, ATR extension frameworks, risk management, and scaling into or out of leaders helped shape the conceptual foundation for this tool.
This script is an independent implementation. It is not affiliated with, sponsored by, or endorsed by Jeff Sun, @i_manage_risk, StratLab, or @StratLaboratory, and it is not intended to replicate their complete methodologies.
Suggested Use:
This indicator is best used as a position-management overlay for stocks that have already been identified as potential leaders through a separate screening process. It can help define areas where the stock may be:
• Acting normally within a leadership trend
• Becoming extended into profit-taking zones
• Pulling back toward constructive support
• Losing momentum or entering damage-control territory
Important Notes:
ATR extension levels are reference zones, not guaranteed targets or support/resistance levels. A stock can remain extended for longer than expected, especially during strong momentum regimes. Conversely, deep pullbacks can signal deterioration rather than opportunity if leadership and trend structure are no longer intact.
Use this tool alongside broader market context, earnings risk, volume behavior, trend structure, and personal risk-management rules.
This indicator is for educational and informational purposes only and does not constitute financial advice. Indicatore
Trade Execution Desk [JOAT]Trade Execution Desk is an open-source trade planning and session management tool designed for futures and structured discretionary traders who operate under daily loss limits, risk tier constraints, and session performance targets. It combines position sizing from account parameters, automatic pivot-based stop detection, three take-profit levels with risk-reward boxes, a 10-trade manual session log, and session status tracking into a single indicator.
The problem this addresses is the gap between an indicator that shows signals and a tool that translates those signals into an actual trade plan. Trade Execution Desk does not generate signals — it helps the trader structure the trade after a signal has been identified, ensuring that position size, stop placement, and profit targets are consistent with the account's defined risk parameters before the order is placed.
Core Concepts
1. Risk-Based Position Sizing
Position size is computed from the daily loss limit, maximum risk percentage, risk tier multiplier, and the calculated stop distance in ticks:
tierMult = tier == "FULL" ? 1.0 : tier == "HALF" ? 0.5 : 0.25
riskAmount = (dailyLossLimit * maxRiskPct / 100.0) * tierMult
contractsAllowed = math.floor(riskAmount / (stopDistTicks * tickValue))
This produces a contracts-allowed figure that respects the current risk tier and the actual stop distance on the current setup.
2. Three Risk Tiers
The FULL tier allows the full calculated position size. The HALF tier reduces it by 50%. The QUARTER tier reduces by 75%. Tier selection reflects the trader's confidence level or account drawdown state.
3. Auto Pivot Stop Detection
When auto stop is enabled, the indicator detects the most recent confirmed pivot high (for short trades) or pivot low (for long trades) and places the stop price at that level plus a configurable tick buffer. This anchors the stop to the nearest structural level automatically.
4. Trade Block Visualization
Entry, stop, and three TP levels are plotted as horizontal lines with right-edge labels. The risk zone (entry to stop) is shown as a translucent red box; the reward zone (entry to TP1) as translucent green. All objects extend rightward in real time.
5. Session Management
Four session-end conditions are tracked: daily target reached, maximum trade count reached, maximum loss count reached, and account rule violation. When any condition triggers, a session lockout overlay is displayed on the chart as a visual reminder that session trading is complete.
6. Manual Trade Log
Ten trade entries can be logged manually with tier type and result. Results are converted to the selected unit (points, ticks, dollars, or percent of account). Sequential processing chains each entry's outcome into running totals for session P&L, trade count, loss count, and violation flag. A promotion threshold tracks whether the session meets the criteria to advance to the next risk tier.
Features
Risk-based position sizing: Contracts calculated from loss limit, risk percent, tier multiplier, and actual stop distance
Three risk tiers: FULL / HALF / QUARTER with independent position size scaling
Auto pivot stop detection: Nearest confirmed pivot placed as stop with configurable tick buffer
Three TP levels with gradient boxes: TP1, TP2, TP3 as horizontal lines with translucent colored boxes
Session status tracking: Target, max trades, max losses, and violation triggers with visual lockout overlay
Ten-entry manual trade log: Each entry processed with tier, result, and unit conversion
Promotion threshold: Tracks whether session performance meets the criteria to advance risk tier
Unit conversion: All results displayable in Points, Ticks, Dollar, or Percent
Session lockout overlay: Full-chart colored overlay when session ends, with reason displayed
17-row institutional dashboard: Account params, tier state, stop/entry/TP levels, session status, trade log summary, promotion progress
Non-repainting: All pivot detections use confirmed pivot functions with symmetric lookback
Input Parameters
Risk Parameters:
Account Size ($), Daily Loss Limit ($), Max Risk % Per Trade
Tick Value ($), Ticks Per Point
Daily Target ($), Max Trades Per Session, Max Losses Per Session
Risk Tier and Carryover:
Current Risk Tier: FULL / HALF / QUARTER
Carryover Deficit ($), Quarter Violation Active toggle, Quarter Extra Deficit ($)
Trade Planning:
Trade Direction: Long / Short
Enable Auto-Pivot Stop toggle, Pivot Left/Right Bars, Stop Buffer (Ticks)
Manual Stop Price (0 = use auto)
RR Levels:
Show TP1, TP2, TP3 toggles with RR multiples and colors
Risk Zone and Reward Zone toggles
Result Unit: Points / Ticks / Dollar / Percent
Trade Log:
10 trade entries: Tier selector + Result value per entry
How to Use This Indicator
Step 1: Configure Account Parameters
Set your account size, daily loss limit, tick value, and ticks per point to match your trading instrument. Set the daily target and maximum trades/losses for your session rules.
Step 2: Select Risk Tier
Choose FULL, HALF, or QUARTER based on your current account standing or confidence level. The contracts-allowed figure in the dashboard updates automatically.
Step 3: Read the Entry/Stop/TP Levels
After identifying a trade direction, the auto-pivot stop places your stop at the nearest confirmed structural level. TP1, TP2, and TP3 are calculated automatically based on the stop distance and your configured RR multiples.
Step 4: Log Trades Manually
After each trade, enter the tier and result in the trade log section. The dashboard updates session P&L, win rate, and promotion progress in real time.
Step 5: Respect the Session Lockout
When the session lockout overlay appears, the reason is displayed prominently on the chart. The lockout is a visual reminder only — it does not interact with your broker.
Indicator Limitations
Position sizing uses tick value and ticks-per-point inputs specific to the traded instrument. These must be configured correctly for the output to be meaningful
The session lockout overlay is a visual reminder only. It does not block order placement
The manual trade log requires manual input after each trade. It does not auto-detect executions
Promotion threshold calculation uses simple arithmetic from input values and may not account for all possible rule variations across different prop firm structures
This indicator is a planning and logging tool. It does not generate entry or exit signals
Originality Statement
The combination of risk-tier-aware position sizing, session-end condition tracking with visual chart lockout, a 10-entry chained trade log with unit conversion, and a promotion threshold tracker in a single open-source overlay indicator is not replicated in existing Pine Script v6 publications
The sequential chaining of manual trade log entries through a processing function that propagates trade count, loss count, running P&L, and violation flag forward through ten entries provides structured session accounting within a chart indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Position sizing outputs are mathematical calculations based on user-provided inputs and do not account for all real-world trade execution factors. Always verify position sizes and risk parameters independently before placing orders. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicatore
Lucky Risk CalculatorLucky Risk Calculator
Know your risk before you pull the trigger — every single time.
Lucky Risk Calculator is a clean, no-nonsense risk management tool built for futures traders. Whether you're trading MNQ, NQ, MES, ES, or any other futures contract, it automatically detects the point value of your instrument and gives you instant dollar risk and profit targets right on your chart — no spreadsheets, no mental math mid-trade.
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What It Does
Enter your stop distance and number of contracts, and the table instantly shows you:
- **Dollar risk** per contract and for your full position
- **Profit target distance** based on your R:R ratio
- **Dollar profit** at target per contract and full position
- **Auto point value detection** — works on any futures symbol without manual setup
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How To Use
1. Set your **Stop Distance** (in points) based on where your stop loss is placed
2. Set your **Contracts** — risk and profit scale automatically
3. Set your **R:R Target** — the calculator shows exactly what hitting that target is worth in dollars
4. Move the table to wherever it fits best on your chart
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Works With
MNQ · NQ · MES · ES · MYM · YM · M2K · RTY — and any other futures contract on TradingView. Point values are pulled automatically from the symbol, so you never have to touch a setting when switching instruments.
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Why I Built This
As a futures scalper, I needed to know my exact dollar risk the moment I defined my stop — not after the trade. This tool keeps risk front and center so you trade with discipline, not guesses.
*Trade smart. Manage risk. Stay lucky.*
— LuckyJo Indicatore
ATR Position SizerATR Position Sizer
A simple position sizing tool for futures traders. Calculates how many contracts to trade based on your risk tolerance and the current ATR-based stop distance.
How it works
The indicator uses the standard formula:
Contracts = Risk $ ÷ (ATR × Stop Multiplier × Dollar per Point)
It pulls the contract's dollar-per-point value directly from the symbol info, so you don't need to enter it manually. At the close of each bar, the calculation updates and displays in the bottom right of your chart.
Inputs
ATR Lookback (bars): How many bars to use for the ATR calculation. Default is 14.
Risk Tolerance ($): Maximum dollar amount you're willing to lose on the trade. Default is $250.
Stop Multiplier (xATR): How wide your stop is relative to ATR. Default is 1.5x.
How to use it
Add the indicator to your chart.
Set your ATR lookback, risk tolerance, and stop multiplier in the settings.
At the close of your entry candle, look at the contracts value in the bottom right.
Size your trade accordingly.
The output is a decimal so you can see exactly where you stand. Round down if you want to stay within your risk, round up if you're comfortable taking slightly more.
Supported instruments
This indicator was designed and tested on the following futures contracts:
S&P 500: ES, MES
Nasdaq 100: NQ, MNQ
Russell 2000: RTY, M2K
Dow: YM, MYM
Nikkei 225: NKD, NIY
Gold: GC, MGC
Crude Oil: CL, QM, MCL
It may work on other futures contracts that have a defined point value in TradingView, but results outside the listed instruments are not guaranteed.
Disclaimers
This indicator is for educational and informational purposes only. It is not financial advice, investment advice, or a trading recommendation.
The calculations assume your actual stop loss will be placed at the ATR-based distance. If you use a different stop placement method, your real risk will differ from what this indicator shows. Always verify your stop placement and position size before entering a trade.
ATR is a backward-looking measure of volatility. It does not predict future price movement, slippage, gaps, or news-driven volatility expansion. Your actual loss on a trade can exceed the calculated risk amount, especially on thinly traded instruments, around economic releases, or during overnight sessions.
This tool does not account for commissions, exchange fees, margin requirements, account size, or overall portfolio exposure. You are responsible for ensuring any position size is appropriate for your account and risk profile.
Futures trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Trade at your own risk. Indicatore
Concordance Execution Model [JOAT]Concordance Execution Model
Introduction
Concordance Execution Model is a strategy framework that integrates regime detection, trend bias, structure direction, pressure, relative volume, regression confidence, and ATR risk management.
This open-source strategy is a research framework, not a performance claim. It demonstrates how rule-based confluence, realistic costs, risk controls, and confirmed-bar execution can be organized in Pine Script v6.
Core Concepts
1. Regime Filter
ALMA, EMA, structure, and regression confidence determine whether long or short entries are allowed.
2. Multi-Factor Entry Gate
Entries require confirmed structure or pullback context plus pressure, RVOL, and cooldown alignment.
3. ATR Risk Model
Stops, targets, trailing stops, structure invalidation, and time stops manage exits.
4. Confirmed-Bar Execution
Entry conditions are evaluated with confirmed bars to reduce repainting behavior.
longEntry = confirmed and regimeBull and pressureBull and rvolOk and cooled
Features
Regime, structure, pressure, and regression filters
ATR stop and target exits
Optional trailing stop
Structure invalidation and time stop exits
Dashboard and candle regime colors
Input Parameters
Structure pivot length and HTF bias
ALMA and regression confidence settings
Delta pressure, RVOL, and cooldown
ATR stop, target, trailing, and time stop
Panel and candle display toggles
Strategy Properties
Initial capital: 100000
Position sizing: 10 percent of equity
Pyramiding: 0
Commission: 0.02 percent
Slippage: 2 ticks
Stops and targets: ATR-based, with optional trailing stop
How to Use This Script
Use this as a transparent research framework. Test on multiple markets and review trade samples rather than relying on a single backtest.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
Concordance is original in combining several independent model families into a realistic, non-pyramiding execution framework with explicit risk exits.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Strategia
Caldera Meridian Strategy [JOAT]Caldera Meridian Strategy
Introduction
Caldera Meridian Strategy is an open-source Pine Script v6 strategy that combines trend regime, pressure, structure, auction location, and transition probability into a single rules-based execution model. The strategy is designed to be transparent: each decision component is calculated directly inside the script, and entries are processed on confirmed bars.
This strategy is not intended to prove future profitability. It is a research framework for studying how multiple market-context filters interact with ATR-based risk and staged exits.
Core Concepts
1. Regime Filter
The strategy uses fast, mid, and slow EMAs to classify bullish, bearish, or neutral trend conditions. A confirmed higher-timeframe EMA can also be used as a directional filter.
trendBull = fast > mid and mid > slow and close > mid
trendBear = fast < mid and mid < slow and close < mid
2. Transition Probability
A simple rolling transition model estimates whether the current regime has recently persisted. This is used as a filter rather than a prediction.
3. Pressure and Auction Location
The strategy estimates bid/ask pressure from candle body position, range, and volume. It also tracks VWAP-style weighted price and value deviation bands to avoid entries in poor auction locations.
4. Structure Confirmation
Confirmed pivots are used to detect delayed structure breaks, sweeps, and displacement events. Pivot confirmation is non-repainting but naturally delayed.
5. ATR-Based Risk Management
Entries use ATR or structure-based stops. Exits are staged across TP1, TP2, and TP3 using configurable R multiples.
Features
Rules-based long and short logic: Combines trend, pressure, structure, auction, and probability filters
Confirmed-bar execution: Entry and risk-off logic uses closed-bar conditions
ATR and structure stops: Stops use volatility and recent structure references
Three staged exits: TP1, TP2, and TP3 use configurable R multiples and quantity percentages
Realistic default costs: Commission is set to 0.05% and slippage to 1 tick in the strategy declaration
Dashboard: Shows position state, scores, regime, continuation, pressure, auction, and risk-off status
Default Strategy Properties
Initial capital: 100,000
Commission: 0.05 percent
Slippage: 1 tick
Pyramiding: 0
Orders processed on close
How to Use This Strategy
Step 1: Use a clean chart
For publication and testing, use a standard chart type and avoid adding unrelated scripts to the chart.
Step 2: Review the dashboard
The dashboard explains why the strategy is flat, long, short, or in a risk-off state.
Step 3: Evaluate across markets
Do not judge a strategy from a small sample. Test across multiple symbols, timeframes, and market regimes.
Strategy Limitations
Backtest results do not imply future results
Pivot-based structure is confirmed only after the pivot length has passed
Costs and slippage may differ from live trading conditions
The model can underperform in choppy markets where filters repeatedly conflict
The strategy is a research framework and not a complete trading plan
Originality Statement
Caldera Meridian Strategy integrates multiple independent modules rather than relying on a single crossover or oscillator. Its usefulness comes from studying how regime, structure, pressure, auction location, and transition persistence interact before a trade is allowed.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice. Trading involves risk of loss. Backtests are historical simulations and do not predict future performance. Always use proper risk management.
-Made with passion by jackofalltrades
Strategia
Candle Architect Signals [JOAT]Candle Architect Signals
Introduction
Candle Architect Signals is an open-source candlestick ranking engine. Instead of labeling every possible candle pattern, it evaluates candle anatomy through trend, regression, momentum, volume, wick rejection, and structure context, then displays only the highest-quality accepted state.
The goal is to reduce pattern noise. Many candlestick tools show too many labels because they treat a pattern in isolation. Candle Architect Signals requires contextual agreement before a candle becomes actionable.
Core Concepts
1. Candle Anatomy
The script reads body size, wick size, close location, range, and relative volatility. This creates a consistent foundation for evaluating rejection, continuation, and exhaustion candles.
2. Pattern Library With Context Filters
Classic candle ideas are combined with custom filters. The script does not accept a pattern just because its shape appears; it also checks trend, structure, regression location, momentum, and volume behavior.
3. Ranking Instead of Spam
When multiple candidate patterns appear, the engine selects the best-scoring candidate. This keeps the chart from filling with overlapping candle names.
4. Structure and CHoCH Context
Pivot highs and lows help identify structural shifts. Bullish and bearish CHoCH events can increase the relevance of candle signals that appear near changing structure.
5. Risk Rails
Accepted signals can draw entry, stop, TP1, TP2, and TP3 references based on structure and ATR buffering.
Features
Ranked candlestick engine: Selects the strongest candle state instead of labeling every pattern.
Trend filter: Uses fast and slow EMAs to determine directional backdrop.
Regression context: Optional regression field helps identify stretched or mean-reverting locations.
Momentum and volume filters: RSI and volume participation influence the score.
Structure weighting: Pivot and CHoCH context can increase or reduce signal quality.
Accepted candle tinting: Confirmed candles can be colored by bullish or bearish state.
Signal zones and rails: Optional zones plus entry/stop/target references.
Dashboard: Shows context, best candle class, score, RSI/volume state, and cooldown.
Alerts: Long candle, short candle, bullish CHoCH, and bearish CHoCH.
Input Parameters
Core Context: Fast EMA, Slow EMA, Regression Context Length, RSI Length, ATR Length.
Structure and Signals: Pivot Left, Pivot Right, Structure Score Weight, Minimum Accepted Score, Signal Cooldown Bars.
Risk and Display: Stop ATR Buffer, TP1 R, TP2 R, TP3 R, Rail Projection Bars, Signal Labels, Signal Zones, Entry/Exit Rails, EMA Cloud, Regression Field, Structure Levels, HUD.
How to Use This Indicator
Step 1: Focus on accepted signals
The script intentionally hides weaker pattern candidates. Treat displayed candle states as filtered candidates that passed the configured score gate.
Step 2: Read the score and context
Higher scores indicate stronger alignment between candle shape, trend, volume, momentum, and structure.
Step 3: Use rails as planning references
When rails are enabled, the stop and targets provide a consistent risk framework. They should be reviewed against market structure and liquidity conditions.
Indicator Limitations
Candle patterns are descriptive, not predictive.
Pivot-based structure confirms after the right-side bars complete.
Volume filters can be less reliable on symbols with incomplete or synthetic volume.
Risk rails are reference levels and do not manage trades.
Originality Statement
Candle Architect Signals is original in how it combines candle anatomy, ranked pattern selection, EMA trend context, regression location, volume, momentum, CHoCH structure, and ATR risk rails into one selective open-source script. The originality is in the scoring and filtering process, not in claiming that candle patterns alone are new.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Candlestick patterns can fail, especially during high volatility, news events, and low-liquidity periods. Use proper risk management.
Made with passion by jackofalltrades
Indicatore
Pullback Sniper Method [trade_w_samet]🎯 Pullback Sniper Method
Pullback Sniper Method is a free open-source pullback, breakout, and trade-visualization indicator designed to help traders analyze structured trend-continuation setups directly on the price chart.
This script combines:
📈 EMA-based trend context
🚀 breakout detection
🎯 pullback confirmation logic
✅ Fast / Balanced / Strict confirmation modes
🧠 optional McGinley and RSI filters
📦 ATR-based TP/SL projection boxes
🎯 TP1 / TP2 / TP3 tracking
🛑 SL tracking
🏷️ result labels
⭐ signal quality tooltip information
📊 statistics table
💎 premium-style dashboard
🎨 multiple visual themes
🚨 alert conditions
The goal of Pullback Sniper Method is not to predict the future or provide guaranteed buy/sell instructions.
Its purpose is to help users visually study:
⚡ trend continuation behavior
🎯 pullback quality
📈 breakout-following structure
🧠 confirmation strength
📦 projected risk/reward zones
📊 historical visual outcomes
💎 dashboard-based system feedback
🚨 alert-based monitoring
Pullback Sniper Method should be treated as a structured chart-analysis and educational decision-support tool, not as financial advice, not as an automated trading system, and not as a guarantee of profitable results.
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🔓 OPEN-SOURCE PUBLICATION NOTE
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This script is published as an open-source educational and visual market-analysis tool.
The source code is visible so users can inspect, review, understand, and learn from the logic.
The description is intentionally detailed because many users do not inspect every part of the Pine Script code line by line.
The purpose of this page is to explain:
✅ what the script does
✅ how the main logic works
✅ how signals are created
✅ what the trend engine checks
✅ how pullbacks are validated
✅ how confirmation modes differ
✅ how TP/SL projections are drawn
✅ how historical trade visuals are managed
✅ what the statistics table means
✅ what the premium dashboard means
✅ what the quality score tooltip represents
✅ what the limitations are
✅ how the indicator should and should not be used
Pullback Sniper Method is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It does not place broker orders.
It should not be used as a blind buy/sell system.
It is best used as a visual framework for reviewing trend, breakout, pullback, confirmation, and projected risk/reward behavior.
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📌 OVERVIEW
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At a high level, Pullback Sniper Method does the following:
📈 Calculates a trend engine using Fast EMA, Slow EMA, and EMA slope.
🚀 Detects breakout conditions after trend alignment.
🎯 Waits for price to pull back toward the Pullback EMA.
✅ Confirms entries using Fast, Balanced, or Strict confirmation logic.
🧠 Applies optional McGinley Dynamic distance filtering.
📊 Applies optional RSI directional filtering.
🧊 Uses a cooldown system to reduce signal clustering.
📦 Draws ATR-based TP/SL projection boxes.
🎯 Tracks TP1, TP2, TP3, and SL visually.
🏷️ Displays active TP labels and final result labels.
🗂️ Keeps historical TP/SL visuals on the chart.
⭐ Displays a Quality Score only inside the STRONG label tooltip.
📊 Builds a statistics table for TP1, TP2, TP3, SL, Total, and Win Rate.
💎 Builds a premium dashboard with deeper internal performance metrics.
🎨 Includes three visual themes.
🚨 Includes alert conditions for strong signals and trade outcomes.
This makes the script more than a simple signal label tool.
It is a complete pullback-analysis framework built around trend context, breakout confirmation, pullback behavior, ATR-based visual planning, and historical result review.
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🧠 CORE IDEA
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The core idea behind Pullback Sniper Method is simple:
A trend continuation setup should not be judged from one isolated candle.
A single breakout, one EMA touch, one candle close, or one label is usually not enough by itself.
Market context matters.
For that reason, Pullback Sniper Method combines several layers:
📈 trend alignment
🚀 breakout structure
🎯 pullback location
✅ confirmation candle behavior
📏 ATR-based distance filtering
🧠 optional McGinley distance filtering
📊 optional RSI direction filtering
📦 projected TP/SL structure
📊 visual statistics
💎 dashboard feedback
The indicator does not attempt to mark every possible move.
Instead, it attempts to make pullback-based trend continuation conditions easier to read, compare, and review.
The purpose is not to create more signals.
The purpose is to make signal conditions more structured and understandable.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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Pullback Sniper Method is not intended to behave like a simple “buy here / sell here” script.
It is built as a structured workflow:
Trend Engine
→ Breakout Detection
→ Pullback Wait
→ Confirmation Mode
→ Optional Filters
→ STRONG Signal Label
→ Quality Tooltip
→ TP/SL Projection
→ Active Trade Visualization
→ Result Tracking
→ Statistics Review
→ Dashboard Review
→ Alerts
Each part has a specific role.
📈 The Trend Engine defines directional context.
🚀 The Breakout Engine identifies fresh movement beyond recent highs or lows.
🎯 The Pullback Engine waits for price to return toward the pullback EMA.
✅ The Confirmation Engine decides whether the reaction is strong enough.
🧠 The optional filters reduce signals that do not meet additional conditions.
⭐ The Quality Score tooltip gives extra signal context without changing the signal.
📦 The TP/SL boxes provide projected visual structure.
📊 The statistics table summarizes historical visual outcomes.
💎 The dashboard gives a broader state and performance-style overview.
🚨 The alert system helps monitor the script without constantly watching the chart.
This makes the script a full review environment, not a one-condition signal tool.
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⚙️ HOW THE SCRIPT WORKS
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📈 TREND ENGINE
The Trend Engine is based on three key components:
⚡ Fast EMA
🐢 Slow EMA
📐 Fast EMA slope
The default structure uses:
Fast EMA = 50
Slow EMA = 200
Pullback EMA = 21
Slope Lookback = 5
For bullish context, the script checks whether:
🟢 Fast EMA is above Slow EMA
🟢 Price is above Slow EMA
🟢 Fast EMA is rising compared to previous bars
For bearish context, the script checks whether:
🔴 Fast EMA is below Slow EMA
🔴 Price is below Slow EMA
🔴 Fast EMA is falling compared to previous bars
This helps the script avoid treating every price move as a valid pullback opportunity.
The trend engine creates the directional foundation for the rest of the logic.
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🚀 BREAKOUT ENGINE
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After trend alignment is detected, the script looks for a breakout.
For bullish setups, price must close above the recent breakout high.
For bearish setups, price must close below the recent breakout low.
The breakout engine uses:
🚀 Breakout Lookback
🛑 Invalidation Lookback
🔥 Minimum Breakout Body / ATR
The breakout candle must also have enough body size relative to ATR.
This is important because very small breakouts can create low-quality setup conditions.
The breakout does not immediately create a STRONG label.
Instead, it activates a setup state.
After that, the script waits for a pullback.
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🎯 PULLBACK SETUP ENGINE
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Once a breakout setup is active, the script waits for price to return toward the Pullback EMA.
For a bullish setup:
🟢 Price must pull back toward the Pullback EMA.
🟢 The setup must not be invalidated.
🟢 Enough bars must have passed after breakout.
For a bearish setup:
🔴 Price must pull back toward the Pullback EMA from the opposite direction.
🔴 The setup must not be invalidated.
🔴 Enough bars must have passed after breakout.
The script also includes a maximum number of bars to find the pullback.
If no valid pullback appears within that window, the setup expires.
This prevents old breakout conditions from staying active forever.
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✅ CONFIRMATION ENGINE
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After a valid pullback touch, the script waits for confirmation.
There are three confirmation modes:
⚡ Fast
⚖️ Balanced
🛡️ Strict
⚡ Fast Mode
Fast mode is the earliest and simplest confirmation style.
It checks whether price closes back in the expected direction relative to the Pullback EMA.
This mode can react faster but may produce more noise.
Useful for:
• faster review
• active chart monitoring
• lower-timeframe analysis
• users who prefer earlier signals
⚖️ Balanced Mode
Balanced mode is the default middle-ground profile.
It requires directional candle behavior and also considers either a break of the previous candle level or wick/rejection behavior.
This helps the signal feel more structured than a basic close-based trigger.
Useful for:
• general chart review
• balanced signal frequency
• intraday analysis
• users who want neither too many nor too few signals
🛡️ Strict Mode
Strict mode is the most selective confirmation profile.
It requires stronger candle body behavior and a more decisive close.
This can reduce signal frequency.
Useful for:
• cleaner setups
• fewer signals
• higher selectivity
• users who prefer stricter confirmation
Important note:
A stricter mode does not guarantee better future outcomes.
It only applies stricter internal confirmation logic.
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📏 ATR-BASED DISTANCE FILTERING
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ATR is used in several areas of the script.
The script uses ATR to evaluate:
📌 breakout body strength
📌 confirmation candle body strength
📌 entry distance from Pullback EMA
📌 stop-loss projection distance
📌 TP/SL visual structure
The Max Entry Distance / ATR setting helps block entries that are too far away from the Pullback EMA.
This is important because a pullback system generally works best when the signal appears close enough to the pullback reference area.
If price runs too far away before confirmation, the setup may become less efficient from a risk/reward perspective.
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🧠 MCGINLEY DYNAMIC FILTER
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Pullback Sniper Method includes an optional McGinley Dynamic filter.
The purpose of this filter is to avoid signals that appear too close to the McGinley Dynamic line.
This distance is measured using ATR.
When enabled, the script checks whether price has enough distance from the McGinley line.
This can help reduce low-quality signals in crowded or compressed areas.
The McGinley filter is optional.
Users can turn it off if they prefer to use only the main trend/pullback logic.
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📊 RSI DIRECTION FILTER
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The script also includes an optional RSI direction filter.
When enabled:
🟢 Long signals require RSI to be above the selected long threshold.
🔴 Short signals require RSI to be below the selected short threshold.
By default, the RSI filter is turned off.
This keeps the base system cleaner and allows users to decide whether they want additional oscillator-style directional filtering.
The RSI filter should be treated as context, not as a guarantee.
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🧊 SIGNAL COOLDOWN SYSTEM
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The script includes a cooldown system to prevent signals from appearing too close to each other.
After a signal appears, the script waits for the selected number of bars before allowing another signal.
This helps reduce visual clutter and prevents the chart from printing too many labels in a short period.
The cooldown system is especially useful on lower timeframes or volatile assets.
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💪 STRONG SIGNAL LABELS
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When all required conditions align, the script can display a STRONG label on the chart.
A STRONG label appears only after the script detects:
📈 valid trend context
🚀 valid breakout setup
🎯 valid pullback touch
✅ valid confirmation
🧠 optional filter approval
🧊 cooldown approval
📦 no active trade conflict
The STRONG label does not mean the future outcome is guaranteed.
It simply means the script’s internal conditions aligned at that point.
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⭐ QUALITY SCORE TOOLTIP
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Pullback Sniper Method includes a Quality Score tooltip on the STRONG label.
This score does not filter signals.
It does not change entries.
It does not block or approve trades.
It is only informational.
To view it, hover your mouse over the STRONG label.
The tooltip can show:
⭐ Quality Score
🌟 Star rating
📌 Direction
📈 Trend alignment
🔥 Body / ATR ratio
📍 EMA Distance / ATR
Example tooltip:
Quality Score: 82/100 ⭐⭐⭐⭐ | Quality: HIGH | Direction: LONG | Trend: Bullish | Body/ATR: 0.48 | EMA Distance/ATR: 0.32
Star guide:
⭐⭐⭐⭐⭐ = very strong internal quality
⭐⭐⭐⭐ = high internal quality
⭐⭐⭐ = good internal quality
⭐⭐ = medium internal quality
⭐ = lower internal quality
Important note:
A score of 82 does not mean there is an 82% chance of winning.
The score only summarizes internal signal quality according to the script’s own visual model.
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📦 TP / SL PROJECTION SYSTEM
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Pullback Sniper Method includes an ATR-based TP/SL projection system.
When a STRONG signal appears, the script can draw:
📦 TP box
📦 SL box
🎯 TP1 line
🎯 TP2 line
🎯 TP3 line
🏷️ TP price labels
🏁 final result label
The system uses ATR-based risk.
Default structure:
🛡️ SL ATR Multiplier = 2.0
🎯 TP3 Reward R = 2.0R
🥉 TP1 = 25% of TP3 distance
🥈 TP2 = 50% of TP3 distance
🏆 TP3 = final target distance
This creates a clean visual projection of the potential trade structure.
The boxes are not broker orders.
They are visual projections based on the script’s internal logic.
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🎯 TP1 / TP2 / TP3 / SL TRACKING
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The script tracks projected trade progress visually.
Possible outcome states include:
🥉 TP1 reached
🥈 TP2 reached
🏆 TP3 reached
🛑 SL reached
If price reaches TP3, the result is marked as TP3.
If price hits SL before reaching any TP level, the result is marked as SL.
If price reaches TP1 and later returns to SL, the result can be treated as a TP1-style protected outcome.
If price reaches TP2 and later returns to SL, the result can be treated as a TP2-style protected outcome.
This allows the visual projection to remember the best target reached before the trade closes.
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⚠️ SAME-CANDLE TP/SL HANDLING
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If TP and SL are both touched on the same candle, there is ambiguity.
The script cannot know the true intrabar sequence from standard OHLC data.
For that reason, Pullback Sniper Method uses a conservative rule:
🔴 If TP and SL are both touched on the same candle, the script treats it as SL.
This avoids overly optimistic visual outcomes when the true intrabar order is unknown.
This conservative approach is useful when reviewing historical visual performance.
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🙈 EARLY SL HIDING LOGIC
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The script includes an early SL hiding feature.
If a projected trade hits SL within the first selected number of bars, the visual trade can be hidden and excluded from statistics.
Default:
🙈 Hide Early SL Bars = 3
This feature is designed to reduce extremely fast failed projections from cluttering the visual history.
Users should understand that this affects the visual/statistical display of the script.
It is not a broker-side execution rule.
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🗂️ HISTORICAL TRADE VISUALS
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Pullback Sniper Method can keep historical TP/SL visuals on the chart.
This includes:
📦 previous TP boxes
📦 previous SL boxes
🎯 TP1 / TP2 / TP3 lines
🛑 SL lines
🏷️ result labels
🏷️ TP price labels
The script also includes a maximum historical trade limit.
Default:
🧮 Max Historical Trades = 40
This helps prevent TradingView object-limit issues while still allowing users to review past signals visually.
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📊 STATISTICS TABLE
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The statistics table summarizes visual trade outcomes.
It can display:
🥉 TP1 count
🥈 TP2 count
🏆 TP3 count
🛑 SL count
📊 Total closed trades
✅ Win Rate
The statistics are calculated internally using the script’s visual TP/SL logic.
They are not broker execution results.
They do not include real slippage, spread, commission, liquidity, partial fills, or order execution issues.
They should be used for visual review and educational analysis only.
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💎 PREMIUM DASHBOARD
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Pullback Sniper Method includes a premium-style dashboard.
The dashboard can display:
📈 Trend
📡 Current status
📊 Total trades
✅ Win rate
📈 Total R
📉 Average R
🧮 Profit Factor
🎯 Expectancy
🔥 Max win streak
❄️ Max loss streak
🔁 Current streak
⏱️ Average bars in trade
🏆 TP3 rate
🛑 SL rate
🧭 Best direction
🟢 Long win rate
🔴 Short win rate
📌 Active trade state
🧾 Last signal
🎯 Best TP reached
The dashboard is designed to give users a structured overview of the script’s internal visual results.
Important note:
These dashboard values are not official TradingView Strategy Tester results.
They are internally calculated visual-analysis metrics.
They should not be interpreted as guaranteed performance.
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🎨 VISUAL THEME SYSTEM
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The script includes three visual themes:
🔵 Neon Pro
🧊 Ice Blue
🟡 Gold Black
The theme system affects:
🎨 STRONG label colors
📦 TP/SL box colors
🎯 TP/SL line colors
🏷️ TP price labels
📊 statistics table colors
💎 premium dashboard colors
🟢 long-side visuals
🟠 short-side visuals
Color settings are handled internally to keep the Inputs tab cleaner and more organized.
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🏷️ TP PRICE LABELS
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TP labels are displayed next to the TP levels rather than inside the boxes.
This helps keep the projection boxes cleaner.
The labels can show:
TP1 price
TP2 price
TP3 price
Example:
TP1 102450.5
TP2 103120.0
TP3 104300.0
This makes it easier to visually read the projected target levels without opening the settings or manually checking each line.
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🏁 RESULT LABELS
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When a projected trade closes, the script can display a result label.
Examples:
🏆 TP3 HIT WIN +2R
🥈 TP2 EXIT WIN +1R
🥉 TP1 EXIT WIN +0.5R
🛑 SL HIT LOSS -1R
The exact value depends on the selected TP/SL structure and the highest TP reached before closure.
These labels are visual summaries only.
They do not represent broker execution.
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🚨 ALERT SYSTEM
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Pullback Sniper Method includes alert conditions for:
🟢 Strong Long
🟠 Strong Short
🏆 TP3 Hit
🛑 SL Hit
🎯 Protected TP Exit
Users can create TradingView alerts from these alert conditions.
Alerts can help monitor the chart without constantly watching every candle.
Important note:
Alerts are based on the script’s conditions.
They are not trade execution instructions.
Users are responsible for validating alerts and applying their own risk management.
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🧪 HOW TO USE THE INDICATOR
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A practical workflow:
Add Pullback Sniper Method to your chart.
Start with the default settings.
Review the overall trend direction.
Wait for a valid breakout setup.
Let the script wait for a pullback toward the Pullback EMA.
Watch for a STRONG label after confirmation.
Hover over the STRONG label to review the Quality Score tooltip.
Review the TP/SL projection box.
Check TP1, TP2, TP3, and SL levels.
Observe whether the projected trade reaches TP levels or SL.
Use the statistics table for visual outcome review.
Use the premium dashboard for deeper internal metrics.
Use alerts if you want automated signal notifications.
Validate the behavior on the exact symbols and timeframes you personally study.
This indicator is best used as a structured review tool.
It should not be used as a blind execution system.
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⚙️ SETTINGS REFERENCE
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📈 Trend Engine
⚡ Fast EMA Length
Controls the fast trend EMA. Lower values react faster, while higher values are smoother.
🐢 Slow EMA Length
Controls the broader trend EMA used for directional context.
🎯 Pullback EMA Length
Defines the EMA area where price is expected to pull back before confirmation.
📐 Trend Slope Lookback
Checks whether the fast EMA is sloping in the expected trend direction.
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🎯 Pullback Setup Engine
🚀 Breakout Lookback
Defines how many bars are used to detect a fresh breakout level.
🛑 Invalidation Lookback
Defines the invalidation level for the active pullback setup.
⏳ Min Bars After Breakout
Controls how many bars must pass after breakout before pullback detection begins.
⌛ Max Bars To Find Pullback
If no valid pullback appears within this range, the setup expires.
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✅ Confirmation Engine
✅ Confirmation Mode
Available modes:
⚡ Fast
⚖️ Balanced
🛡️ Strict
📏 ATR Length
ATR used for body-size and distance filters.
🔥 Min Breakout Body / ATR
Minimum breakout candle body size compared to ATR.
💪 Min Confirm Body / ATR
Minimum confirmation candle body size compared to ATR. Mainly used in Strict mode.
📍 Max Entry Distance / ATR
Blocks entries that are too far away from the Pullback EMA.
🧊 Use Signal Cooldown
Prevents too many signals from appearing too close to each other.
⏱️ Cooldown Bars
Number of bars to wait after a signal before allowing another one.
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🧠 Optional Filters
🧲 Block Signals Near McGinley
Avoids entries too close to the McGinley Dynamic line.
〽️ McGinley Length
Length used for the McGinley Dynamic filter.
📐 Min McGinley Distance / ATR
Minimum distance required between price and McGinley Dynamic.
📊 Use RSI Direction Filter
Filters long/short signals based on RSI direction.
📈 RSI Length
RSI length used for the optional direction filter.
🟢 RSI Long Minimum
Long signals are allowed only when RSI is above this value.
🔴 RSI Short Maximum
Short signals are allowed only when RSI is below this value.
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📦 Trade Visual Engine
📏 Show TP / SL Lines
Shows TP1, TP2, TP3, and SL lines.
📦 Show TP / SL Boxes
Shows TP and SL projection zones.
🏷️ Show Active TP Label
Shows the latest touched TP label while the projected trade is active.
🗂️ Show Historical TP / SL Trades
Keeps previous TP/SL boxes, lines, and labels on the chart.
🧮 Max Historical Trades
Limits historical visual trades to help avoid object-limit issues.
🛡️ SL ATR Length
ATR length used for stop-loss calculation.
🛑 SL ATR Multiplier
ATR multiplier used for stop-loss distance.
🎯 TP3 Reward R
Final TP target multiple based on the initial risk distance.
🥉 TP1 % Of TP3
TP1 distance as a percentage of final TP3 distance.
🥈 TP2 % Of TP3
TP2 distance as a percentage of final TP3 distance.
↔️ Initial TP / SL Length
Initial visual length of TP/SL lines and boxes.
🙈 Hide Early SL Bars
If SL is reached within this number of bars, the projection can be hidden and excluded from statistics.
📊 Show Statistics Table
Shows TP1, TP2, TP3, SL, total trades, and win rate.
💎 Show Premium Dashboard
Shows the extended dashboard with deeper internal metrics.
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🎨 Visual Settings
🎭 Color Theme
Available themes:
🔵 Neon Pro
🧊 Ice Blue
🟡 Gold Black
💪 Show STRONG Labels
Shows the main STRONG labels on the chart.
🔠 Signal Label Size
Controls the size of STRONG signal labels.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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Pullback Sniper Method uses familiar concepts such as:
📈 EMA trend context
🚀 breakout detection
🎯 pullback confirmation
🧠 optional technical filters
📦 ATR-based TP/SL projection
📊 dashboard metrics
🚨 alerts
These components are not unique by themselves.
The originality of the script lies in how these components are organized into one workflow:
Trend Engine
→ Breakout Detection
→ Pullback Validation
→ Confirmation Mode
→ Optional Filters
→ STRONG Label
→ Quality Tooltip
→ TP/SL Projection
→ Historical Trade Visualization
→ Statistics Table
→ Premium Dashboard
→ Alerts
This structure is intended to give users a cleaner way to review pullback-based trend continuation setups.
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⚠️ IMPORTANT PRACTICAL NOTES
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The script’s behavior depends heavily on settings.
Signal frequency and visual output may change based on:
🎛️ selected confirmation mode
📈 EMA lengths
🎯 pullback EMA length
🚀 breakout lookback
🛑 invalidation lookback
📏 ATR settings
🧠 McGinley filter
📊 RSI filter
🧊 cooldown setting
📦 TP/SL settings
📊 market
⏱️ timeframe
📉 symbol volatility
📚 available historical bars
A configuration that looks cleaner on one market may not behave the same way on another.
The TP/SL boxes are visual projections based on script rules.
They are not broker orders.
They do not account for real execution conditions.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
❌ It does not guarantee profitable trades.
❌ It does not predict future price movement.
❌ It does not replace risk management.
❌ It does not execute trades.
❌ It does not place orders.
❌ It does not include broker slippage.
❌ It does not include commissions.
❌ It does not include spreads.
❌ It uses bar-based chart data.
❌ Same-candle TP/SL order cannot be known from standard OHLC data.
❌ Same-candle TP/SL is handled conservatively as SL.
❌ Quality Score is not a win-rate prediction.
❌ Dashboard statistics are internal visual metrics, not broker results.
❌ ATR-based TP/SL projections are visual analysis tools, not trade instructions.
❌ Strong labels can still fail in choppy or low-quality market conditions.
❌ Historical visual behavior does not ensure future behavior.
For these reasons, Pullback Sniper Method should be used as an educational decision-support tool, not as a standalone trading strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
✅ study pullback-based trend continuation
✅ want structured breakout/pullback confirmation
✅ want ATR-based TP/SL visualization
✅ want historical visual trade review
✅ want a clean statistics table
✅ want a premium-style dashboard
✅ want signal quality information without changing signal logic
✅ want configurable confirmation strictness
✅ want visual themes
✅ want alert-based monitoring
✅ prefer organized chart-based analysis
✅ want an open-source educational TradingView tool
It may be less suitable for users who:
❌ want guaranteed buy/sell signals
❌ want a fully automated trading bot
❌ do not use technical analysis
❌ do not want chart visuals
❌ expect one setting to work on every market
❌ want an indicator that replaces their own decision-making
❌ expect internal visual statistics to match broker execution results
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🧭 BEST PRACTICE SUGGESTIONS
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For cleaner review:
✅ Start with the default settings.
✅ Use Balanced confirmation first.
✅ Test Fast and Strict modes only after understanding the default behavior.
✅ Review STRONG labels together with market structure.
✅ Hover over labels to inspect Quality Score context.
✅ Use TP/SL boxes as visual planning tools, not automatic orders.
✅ Review dashboard metrics as internal script feedback only.
✅ Avoid treating every signal as a trade.
✅ Test the indicator on the symbols and timeframes you actually use.
✅ Combine the tool with independent analysis and risk management.
✅ Keep expectations realistic.
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🚨 ALERT USAGE
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The script includes alert conditions for important events.
Available alert types include:
🟢 Strong Long
🟠 Strong Short
🏆 TP3 Hit
🛑 SL Hit
🎯 Protected TP Exit
A practical alert workflow:
Add the indicator to your chart.
Open TradingView’s alert window.
Select Pullback Sniper Method as the condition.
Choose the alert condition you want.
Configure frequency according to your preference.
Use alerts as monitoring tools only.
Confirm all alerts manually with your own analysis.
Alerts do not execute trades.
Alerts are not financial advice.
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🔓 OPEN-SOURCE NOTE
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This script is published open-source for educational review, transparency, and community learning.
Users can inspect how the indicator works, study the logic, modify it for personal learning, and understand the internal conditions behind the visual output.
Please respect TradingView’s House Rules when reusing or republishing open-source code.
The purpose of open-source publication is to support learning and transparent script review.
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🛡️ DISCLAIMER
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Pullback Sniper Method is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
No indicator can guarantee future results.
Markets are uncertain, conditions change, and historical behavior does not ensure future performance.
Every user is responsible for their own analysis, validation, risk management, position sizing, and trading decisions.
The TP/SL boxes, labels, dashboard statistics, Quality Score, and alerts are visual analysis tools only.
Use this script as a structured decision-support and visual review framework, not as a promise of profitability. Indicatore
Obsidian Trend Relay [JOAT]Obsidian Trend Relay
Introduction
Obsidian Trend Relay is an open-source multi-timeframe trend and risk-ladder indicator. It combines zero-lag EMA logic, SuperTrend, an EMA ribbon, three higher-timeframe confirmation votes, prediction threshold rails, proximity warnings, candle coloring, risk ladder boxes, right-side price labels, and a top-right dashboard.
The script is built for users who want a directional trend context layer with structured visual planning. It does not claim to forecast price. Instead, it shows when local trend, ribbon structure, SuperTrend, and higher-timeframe votes align or conflict.
Core Concepts
1. Zero-Lag EMA Core
The zero-lag component reduces the smoothing delay of a standard EMA by comparing the first EMA against a second smoothing pass. This creates a responsive trend anchor used for reclaim and rejection logic.
// Conceptual summary
// zlema = 2 * ema(source, length) - ema(ema(source, length), length)
2. SuperTrend and EMA Ribbon
SuperTrend provides an ATR-based directional rail. The EMA ribbon checks whether fast, mid, slow, and base averages are stacked in directional order. Both must be read together with the zero-lag line.
3. Multi-Timeframe Relay Votes
Three higher-timeframe checks compare zero-lag and EMA structure using request.security() with lookahead off. The dashboard displays each vote and the total confluence score.
4. Prediction and Proximity Rails
The prediction engine creates upper/lower threshold rails around the trend anchor. Proximity warnings identify when price is near a key transition rail and may be close to a directional decision point.
5. Risk Ladder
When a relay signal appears, the script can draw a reward box, risk box, warning zone, entry, stop, and T1/T2/T3 rails. These are visual planning tools only.
Features
Zero-lag trend anchor: Responsive baseline for reclaim and rejection context
SuperTrend filter: ATR-based directional rail
EMA ribbon: Visual trend stack using multiple moving averages
Three HTF votes: Higher-timeframe confluence with lookahead off
Prediction rails: Upper/lower threshold bands around the zero-lag engine
Proximity warning: Highlights price near key trend rails
Risk ladder boxes: Draws risk, warning, reward, entry, stop, and T1/T2/T3 levels
Gradient candle tinting: Colors candles from confluence and trend state
Top-right dashboard: Shows local trend, ribbon, HTF votes, prediction, proximity, and ladder state
Confirmed-bar logic: Relay and ladder events use confirmed bars
Input Parameters
Trend Engine:
Source
Zero Lag Length
SuperTrend ATR Length
SuperTrend Factor
Ribbon Fast, Mid, Slow, and Base lengths
MTF and Risk:
Higher Timeframe 1, 2, and 3
Minimum Confluence Votes
Stop ATR Mult
Target ATR Mult
Show Risk Ladder
How to Use This Indicator
Step 1: Check confluence
Use the dashboard to see whether the local trend and higher timeframes agree.
Step 2: Read the ribbon
A clean stacked ribbon provides stronger trend context than a mixed ribbon.
Step 3: Watch proximity rails
Proximity warnings indicate price is near a transition threshold.
Step 4: Treat the ladder as a visual plan
The risk ladder maps possible risk and reward levels, but it does not execute trades or ensure outcomes.
Indicator Limitations
Higher-timeframe values can update during an unfinished higher-timeframe candle
Trend tools can lag during sharp reversals
Risk ladder levels are visual only
Sideways markets may generate mixed confluence readings
Originality Statement
Obsidian Trend Relay combines zero-lag trend anchoring, SuperTrend, EMA ribbon stacking, three higher-timeframe votes, prediction thresholds, proximity warnings, and managed risk ladders into one open-source Pine v6 trend relay. Its purpose is to organize trend alignment and risk visualization in one coherent chart layer.
Disclaimer
This script is for educational and informational use only. It is not financial advice or a promise of future results. Always use independent judgment and risk management.
-Made with passion by jackofalltrades
Indicatore
Indicatore
Concordance Allocation Strategy [JOAT]Concordance Allocation Strategy
Introduction
Concordance Allocation Strategy is an open-source TradingView strategy that integrates regime detection, directional bias, momentum alignment, value-location filtering, and ATR-based risk management into one non-repainting framework. It is designed to trade only when multiple independent layers agree on bar close.
The problem this strategy solves is isolated signal bias. A single good-looking signal can fail quickly if it appears in the wrong market regime, against the wrong directional structure, or in the wrong part of value. Concordance requires those layers to align before it enters a trade, then manages risk with fixed ATR targets and adaptive exits.
Core Concepts
1. Regime filter
The strategy uses a probability-based trend-versus-range classifier. Trades are only considered when the directional regime is confirmed on a closed bar.
2. Directional bias engine
An ATR-based bias band adapts to noisy conditions and recovery stress so long and short bias are not driven by a simple moving average cross.
3. Momentum confirmation
A centered adaptive stochastic spread must align with the directional side. This prevents entries based on trend context alone.
4. Value-location filter
The strategy requires price to be properly aligned with percentile-derived value rails before entries are allowed. This helps avoid chasing direction in poor location.
5. Structured risk management
Every position uses:
ATR stop loss
ATR take profit
Adaptive trailing behavior once price extends far enough
Context exits when regime or momentum deteriorates
Features
Multi-layer entry filter: Regime, bias, momentum, and value must agree
Bar-close confirmation: Entries are evaluated using confirmed-bar logic
ATR stop loss and take profit: Risk is defined from volatility, not fixed ticks
Adaptive exit behavior: Bias band can tighten once the move extends
No higher-timeframe dependency: Uses current-timeframe calculations only
Institutional dashboard: Shows exposure state, regime, momentum, bias band, and value rails
Non-repainting framework: No future references and no lookahead logic
Input Parameters
Regime Layer:
Return Lookback
Volatility Lookback
Efficiency Length
Regime Learning
Trend Gate
Directional Bias:
ATR Length
ATR Base Multiplier
Avoidance Expansion
Recovery Pull
Noise Threshold ATR
Momentum Layer:
Stochastic Length
Stochastic Smoothing
Price Presmoothing
Adaptive Attenuation
Momentum Spread Gate
Value Layer:
Value Lookback
Lower Rail Percentile
Upper Rail Percentile
Rail Smoothing
Risk Layer:
Stop ATR
Take Profit ATR
Trail Activation ATR
Trail Buffer ATR
How to Use This Strategy
Step 1: Read the regime
The strategy only acts when the directional regime is confirmed. If the regime is rotational, it stands down.
Step 2: Confirm directional bias
The ATR bias band must agree with the side of the trade. This avoids taking long momentum setups under bearish structure or the reverse.
Step 3: Check momentum and value together
Momentum must align with the side and price must be operating in the correct value location. Both filters are required.
Step 4: Review risk settings before use
Stop and target multiples should be adjusted to the market and timeframe being tested. The defaults are intended to be realistic rather than aggressively optimized.
Strategy Limitations
No strategy can eliminate false regime transitions or rapid reversals
Percentile value rails adapt to the sample window and may lag sudden structural changes
The strategy is designed for realism and context alignment, not maximum trade frequency
Originality Statement
Concordance Allocation Strategy is original in how it requires regime confirmation, directional bias, momentum agreement, and value-location agreement before allowing entries. It is published because:
The strategy avoids isolated indicator triggers and instead uses a layered confirmation model
Its risk logic combines fixed ATR objectives with adaptive context exits
The design is intentionally current-timeframe, bar-close confirmed, and non-repainting
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice, and backtest results do not guarantee future performance. Trading involves risk of loss, and any strategy can underperform or fail in changing market conditions. Always evaluate settings carefully and use proper risk management.
Strategia
Tension Flow Trend [BigBeluga] - Historical RRTension Flow Trend is a high-performance trend-following framework that treats price action like a reactive elastic system. By moving beyond static averages, this indicator introduces "Price Tension"—a sophisticated measurement of how overstretched a trend is relative to its baseline—now enhanced with a live Historical RR (Risk:Reward) backtesting engine.
By combining the ultra-low-lag properties of the Hull Moving Average (HMA) with real-time Z-Score volatility analysis, this indicator visualizes not just the direction of the market, but the mathematical "exhaustion" of every move.
🔵 THE ELASTICITY FRAMEWORK
The Ultra-Responsive HMA Baseline: At the heart of the system is a 50-period Hull Moving Average. Specifically engineered to eliminate the lag found in traditional SMAs, the HMA provides a "true north" that reacts instantly to structural shifts without the usual delay.
Price Tension (Z-Score Engine): The indicator measures the vertical distance between price and the HMA, normalizing it using standard deviation. This Z-Score represents the "Tension" of the trend—showing you exactly when the market has deviated too far from its mean.
Dynamic Transparency Feedback: As price enters an extreme Z-Score range, the trend ribbon’s transparency increases. A bright, solid ribbon indicates compressed, high-probability energy, while a fading ribbon warns that the "elastic band" is stretched to its limit.
🔵 PERFORMANCE & RISK INTELLIGENCE
Automated RR Projection: Upon every "START" signal, the script automatically plots dynamic Risk:Reward boxes. It calculates an ATR-based stop loss and projects a take-profit target based on your custom RR ratio, visualizing the trade's path in real-time.
Rolling Performance Tracker: The indicator features a built-in backtester that tracks the win/loss history of the most recent trades. It calculates your Win Rate based on a rolling sample size, allowing you to see how the strategy is performing under current market conditions.
Signal Cooldown Logic: To eliminate "whipsaw" noise, a configurable cooldown engine ensures that signals only trigger during significant structural shifts. This prevents signal clustering in sideways or choppy markets.
🔵 DUAL-DASHBOARD SYSTEM
Energy Monitor (Bottom-Right): Tracks the numerical Z-Score and categorizes the market status. "Strong" indicates healthy momentum, while "Overextended" warns of an imminent mean-reversion risk.
RR Performance Table (Top-Right): Provides an institutional-grade breakdown of your strategy performance, including total Wins, Losses, and the current Win Rate percentage for the specified trade window.
🔵 STRATEGIC APPLICATION
The Momentum Breakout: Look for "START" labels that appear when the HMA slope aligns with a price crossover. These represent the birth of a new trend cycle where tension is low and expansion is likely.
Managing Trend Exhaustion: When the ribbon begins to fade and the Energy Dashboard hits "Overextended," it is time to tighten stops or take partial profits. High tension usually precedes a sharp snap-back to the baseline.
Confirming with Win Rate: Use the Performance Dashboard to gauge market regime. If the rolling Win Rate is high, the market is respecting the trend envelopes; if it drops, the market may be entering a consolidation phase where you should wait for better alignment.
Mean Reversion Targets: For contrarian traders, the HMA baseline serves as a natural "magnet." When price is significantly overextended, look for price to be pulled back into the HMA "Neutral Zone."
Tension Flow Trend transforms your chart into a map of market stress and opportunity. By visualizing the tension behind every candle and providing real-time performance feedback, it ensures you stay on the right side of the trend while trading with professional-grade risk management. Indicatore
Aureate Market Architecture Strategy [JOAT]Aureate Market Architecture Strategy
Introduction
Aureate Market Architecture Strategy is an open-source TradingView strategy that integrates regime classification, structure bias, breakout pressure, liquidity confirmation, and risk management into one confirmed-bar execution model.
The strategy is built for users who want a rules-based implementation of the broader JOAT architecture rather than a single-indicator signal stream.
Its design goal is not to maximize trade count.
Its design goal is to trade only when multiple independent conditions agree:
the market is in an expansion-permitted regime
structure bias supports direction
pressure is strong enough to justify participation
liquidity context confirms the move
risk and daily drawdown constraints allow a new position
This produces a strategy that is intentionally selective and explicitly non-repainting.
Core Concepts
1. Regime Detection
The strategy classifies the market into accumulation, expansion, or exhaustion using ATR behavior, balance width, and normalized breakout pressure.
A persistence requirement prevents the regime state from flipping too quickly.
2. Structure Bias Filter
Directional participation is gated by confirmed medium-term structural breaks, EMA orientation, and price location relative to the fast EMA.
An optional higher-timeframe bias filter can be added using completed higher-timeframe candles only.
3. Pressure Confirmation
Breakout pressure is derived from a composite of multiple ROC windows and smoothed into an adaptive signal.
The strategy does not permit entries unless that signal exceeds its volatility-adjusted threshold.
4. Liquidity Context
The strategy estimates upper and lower liquidity anchors, counts relative touch density, and looks for sweep failure behavior to confirm whether the current move has supportive liquidity context.
5. Risk and Exit Stack
Every position uses an initial stop, a take-profit target based on risk multiple, an adaptive trailing component, a daily loss lockout, and a cooldown after exit.
Features
Three-state regime engine: accumulation, expansion, and exhaustion
Persistence logic: regime changes require confirmation across multiple bars
Structure bias filter: confirmed BOS logic combined with EMA alignment
Optional HTF bias filter: completed higher-timeframe candles only
Adaptive breakout pressure: multi-window ROC model normalized by its own volatility
Liquidity confirmation: anchor touches, sweep failures, and relative-volume support
Long and short entry logic: both directions use the same confirmed-bar architecture
Risk management: ATR-based initial stop, target, trailing logic, and daily loss control
Cooldown control: prevents immediate re-entry after an exit
Dashboard and chart overlays: display current state, active bias, and risk context
Default Strategy Properties
Initial Capital: 100000
Order Size: 10% of equity
Commission Model: Percent
Commission Value: 0.01
Pyramiding: 0
Calc On Order Fills: enabled
Calc On Every Tick: disabled
Input Parameters
Regime Engine
Regime ATR Length
Regime Baseline Length
Balance Window
Accumulation Volatility Threshold
Expansion Volatility Threshold
Regime Persistence Bars
Structure Bias
Short Pivot
Medium Pivot
Fast EMA
Slow EMA
Use Confirmed HTF Bias Filter
HTF Bias Timeframe
Breakout Pressure
Fast ROC
Medium ROC
Slow ROC
Macro ROC
Pressure Smoothing
Pressure Threshold Multiplier
Liquidity Context
Liquidity Window
Sweep Depth ATR
Relative Volume Floor
Risk Management
Initial Stop ATR
Take Profit R Multiple
Trail ATR Multiple
Daily Lockout %
Cooldown Bars After Exit
How to Use This Strategy
Step 1: Treat the Regime as the First Gate
The strategy only wants to be active in the expansion state.
If the dashboard shows accumulation or exhaustion, the system is designed to be more selective or inactive.
Step 2: Check Directional Alignment
The cleanest trades occur when structure bias, EMA alignment, pressure, and liquidity all support the same side.
Step 3: Respect the Risk Model
The stop, target, trail, and daily lockout are part of the strategy logic.
They should not be ignored when evaluating results.
Step 4: Expect Selectivity
This strategy is built to filter aggressively.
Users looking for frequent trades may need different settings or a different methodology.
Step 5: Evaluate Over Enough Trades
No strategy should be judged from a very small sample.
Assess it across enough market conditions to understand where the architecture performs well and where it degrades.
Strategy Limitations
This strategy uses chart-derived liquidity and regime approximations rather than exchange microstructure data
Selective filters can reduce trade frequency substantially on some instruments and timeframes
Backtest results depend on instrument, timeframe, commission, slippage assumptions, and session behavior
Non-repainting logic reduces false signals but can also introduce later entries than predictive systems
Originality Statement
Aureate Market Architecture Strategy is original in the way it integrates regime state, structural confirmation, normalized pressure, liquidity context, and layered risk controls into one coherent execution model.
The purpose of the integration is practical: each component addresses a different failure mode that appears when breakout systems rely on only one dimension of evidence.
Disclaimer
This strategy is provided for educational and informational purposes only.
It is not financial advice and does not guarantee profitability.
Backtest outcomes are hypothetical and derived from historical data.
Live trading includes slippage, execution variance, and market conditions that can differ materially from historical results.
Strategia
Concord Execution Mandate [JOAT]Concord Execution Mandate
Introduction
Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger.
The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls.
Core Concepts
1. Regime And Context Layer
The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution.
2. Structural And Rotation Triggers
Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA.
3. Soft Alignment Model
Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting.
4. Risk Management
Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially.
Features
Adaptive regime filter: Core state engine for directional context
Higher-timeframe bias: Optional EMA-based external direction filter
Structure triggers: Confirmed BOS logic using stored pivots
Continuation and rotation entries: Additional execution paths beyond BOS
Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring
Reversion reclaim logic: Optional re-entry through a mean basis before entry
Divergence safety filter: Optional block on fresh opposing divergence
ATR and structure-based stops: Dynamic risk anchoring
Reward targets and ATR trailing: Structured exit management
Context-flip exits: Early closure when regime or bias reverses
Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties
Default Strategy Properties
Initial capital: 100000
Default order size: 5 percent of equity
Commission: 0.02 percent
Slippage: 2 ticks
Order processing: on bar close
Pyramiding: 0
How to Use This Strategy
Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed.
Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample.
Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested.
Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results.
Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment.
Strategy Limitations
This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals
More aggressive settings can increase trade count at the cost of lower selectivity
Higher-timeframe bias can conflict with local execution context during turning points
Backtest results depend on symbol, timeframe, session behavior, and execution assumptions
This strategy is designed to be realistic, not optimized for one narrow market condition
Originality Statement
Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management.
-Made with passion by jackofalltrades
Strategia
Prop Firm Shield - Challenger [Quiet Edge]Your prop firm's rules, enforced at the chart. Prop Firm Shield tracks your daily-loss budget, drawdown buffer, and position size in real time — so the limit is visible the moment you are near it.
This is the Challenger tier — free, no login required. Enter your account size, starting balance, and current balance. The dashboard does the rest.
What it tracks
Daily loss budget — how much you have left, in dollars and percent
Drawdown buffer — remaining room before breach
Position size calculator — enter entry, stop, and risk % to get a recommended lot size
SAFE / CAUTION / STOP status with chart background alert
Upgrade to Operator ($19/mo) for verified firm presets (FTMO, Topstep, The5ers, MyFundedFutures), trailing drawdown, consistency rule tracker, and session close countdown.
Upgrade to Principal ($39/mo) for lot size escalation guard and an Evaluation vs Funded phase toggle — the only on-chart tool that models intraday trailing drawdown for funded accounts.
quietedgelabs.com/indicators/risk-management/prop-firm-shield Indicatore
Concordance Execution Mandate [JOAT]Concordance Execution Mandate
Introduction
Concordance Execution Mandate is an open-source TradingView strategy that integrates the indicator concepts used throughout the JOAT Suite into one execution framework. It combines crossframe bias, auction location, stepped structure, momentum timing, absorption participation, and volatility gating before any trade is allowed. It also renders on-chart trade rails, stop placement, profit targets, and a dashboard summarizing the active execution state.
The purpose of the strategy is not to optimize one narrow market condition. The purpose is to require multiple independent conditions to agree before a trade is taken. This reduces single-factor noise and creates a more realistic execution process than a strategy that relies on only one oscillator or one moving-average crossover.
Core Concepts
1. Crossframe Regime Filter
Higher-timeframe trend alignment establishes the directional permission layer. If the dominant bias is not aligned, the strategy remains filtered.
2. Auction Location Filter
Price must also be in a constructive value location for longs or a defensive value location for shorts. This reduces cases where a trend is positive but price is poorly located relative to accepted value.
3. Structure and Momentum Gate
The local stepped structure and momentum score must agree with the higher-level direction before a trade is permitted.
4. Absorption and Volatility Filter
If an active absorption range exists, the strategy uses it as a participation filter. Volatility percentile and directional volatility behavior are also used to avoid unsuitable states.
5. ATR-Based Risk Management
Stops are sized from ATR and, when enabled, can anchor to structural references. Targets are placed using configurable R multiples.
Features
Multi-layer trade permission: Crossframe, auction, structure, momentum, absorption, and volatility must align
Confirmed-bar logic: Entry conditions are evaluated on confirmed bars
ATR-based stop logic: Risk is normalized to current market conditions
Two staged exits: TP1 and TP2 are placed automatically, with a third informational rail on-chart
On-chart trade rails: Entry, stop, TP1, TP2, and TP3 are drawn directly on the chart
Risk/reward fills: Visual fill between entry and stop or target levels
Execution dashboard: Displays regime, permission, auction state, structure state, momentum, absorption, ATR percentile, position state, and active risk rail
Realistic default properties: Uses commission, slippage, and percent-of-equity sizing
Strategy Properties Used By Default
Initial Capital: 100000
Commission Type: Percent
Commission Value: 0.05
Slippage: 2
Pyramiding: 0
Position Size: 10% of equity
Orders Processed On Close: Enabled
How to Use This Strategy
Step 1: Read the dashboard before evaluating the backtest. The strategy is built around permission states, not constant market participation.
Step 2: Check whether the system is in Long Bias, Short Bias, or Mixed mode.
Step 3: Observe whether the strategy is filtering trades because one of the major layers is missing, such as auction location or volatility suitability.
Step 4: Use the on-chart rails to understand how the strategy is defining risk and reward at each entry.
Strategy Limitations
Like all strategies, results depend on market, timeframe, and input choices
Higher-timeframe filters are intentionally delayed for non-repainting safety
Multiple filters can reduce trade frequency substantially
The strategy is designed as a robust execution framework, not as a guarantee of profitability
Backtest results should be interpreted with realistic skepticism and proper context
Originality Statement
Concordance Execution Mandate is original in the way it integrates top-down bias, auction location, local structure, momentum timing, participation filtering, and volatility gating into one execution process with visible trade management rails. The script is published to show how multiple institutional-style context layers can be fused into a realistic open-source framework.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade any market. Backtest results are based on historical data and do not guarantee future performance. All trading involves risk, including the risk of loss. Use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Strategia
Index Futures Position Size Calculator with valuesA simple, free position size calculator for CME index futures traders.
Click Entry, click Stop Loss, pick your asset, get your contract size instantly. Built for fast NY session execution — no spreadsheets, no manual maths, no noise.
═══════════════════════════════════
✦ SUPPORTED INSTRUMENTS
MNQ · MES · NQ · ES — all CME tick values hardcoded. No manual lookup, no mistakes.
═══════════════════════════════════
✦ FEATURES
→ One-click Entry and Stop Loss directly on the chart
→ Auto 1-handle SL buffer — stop shifts 1 full point beyond your click, protecting against wick hunts
→ Asset dropdown — correct tick value loads automatically, zero manual entry
→ Smart rounding — fractional contracts of 0.75 or higher round up, otherwise round down
→ Green Entry line and Red SL line — both start at your exact click and extend right
→ Price labels on both lines — confirm your exact adjusted levels instantly
→ Direction arrow — ▲ Buy or ▼ Sell auto-detected from your Entry and SL position
→ Live dark panel — asset name, contract size, real USD risk and stop distance, all updating in real time
═══════════════════════════════════
✦ HOW TO USE
Add to chart → click Entry → click Stop Loss → pick asset → set Account Size and Risk %. Read your size from the top-right panel. Three clicks and you are sized.
═══════════════════════════════════
✦ PROP FIRM CHALLENGE SIZING
Two clean methods to work within your max drawdown limit.
Method 1 — Loss budget split
Divide your max loss by how many consecutive losses you can afford. Enter that result as Account Size with Risk at 100%.
Example: $2,000 max loss ÷ 5 losses → Account Size $400, Risk 100%
Method 2 — Direct percentage
Enter your full max loss as Account Size and set your per-trade risk percentage directly.
Example: $2,000 max loss, 20% per trade → Account Size $2,000, Risk 20%
Both give the same result — use whichever feels natural.
═══════════════════════════════════
✦ HOW THIS WAS BUILT
Developed step by step through real trading feedback, not theory.
Started as a basic calculator with manual tick inputs. Then came the asset dropdown with hardcoded CME values, smart rounding, exact click-point line rendering, the auto 1-handle SL buffer with price labels, real-time USD risk display, stop distance row, and finally a full dark panel redesign with colour-coded values and direction detection.
Every feature exists because a real trade needed it.
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✦ A NOTE FROM THE AUTHOR
Built together with Claude AI through real iterative development. Sharing it free because clean tools should not be locked behind paywalls. No Discord, no course, no affiliate links, nothing to buy. Copy it, modify it, build something better — it is yours.
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✦ DISCLAIMER
Educational tool only. I do not take any responsibility when you use this indicator in your trading — always check the calculations before use. Futures trading carries substantial risk of loss. Not financial advice.
Built with ❤️ by REDz and Claude Indicatore
