Luxy UT God Mode - UT-Bot Forecast, Signals, Zones and RiskLuxy UT God Mode turns the classic UT Bot ATR trailing-stop into a complete, self-contained trading cockpit: momentum-adaptive buy/sell signals, a forward-looking Trend Duration Forecast, auto support/resistance zones, a 0-100 Confidence Score, a built-in multi-currency Risk Calculator, and automatic Stop Loss / Take Profit levels - all on one overlay, all non-repainting.
Note: Every forecast, probability, and statistic in this tool is a calculation based on the chart's own historical behavior. They describe past patterns, not guaranteed future results.
WHAT MAKES THIS DIFFERENT
A normal UT Bot only tells you the trend flipped. Luxy UT God Mode answers the three questions a trader actually asks at the moment of a signal:
1. Should I trust this flip? - a Confidence Score (0-100) blends seven engines into one number.
2. How long might this trend run? - a Trend Duration Forecast projects the expected remaining life of the current trend, drawn as a fading strip with survival-probability milestones.
3. What do I risk and how big do I trade? - automatic Stop Loss, R-based Take Profits, and a position-size calculator in your own account currency.
Everything is layered so you can run it bare-bones (just clean signals) or switch on the full "God Mode" stack.
METHODOLOGY AND CREDITS
This indicator implements proven concepts using entirely original code.
- UT Bot ATR trailing logic - original concept by @QuantNomad . This implementation is a significant rework: it adds volume weighting, momentum-adaptive sensitivity, a composite multi-method stop loss, a full multi-filter confirmation stack, multi-timeframe confluence, and the statistical trend-duration engine described below.
Important: this is an educational analysis tool. It does not guarantee any trading result. Always do your own analysis and manage risk.
THE SEVEN ENGINES (and the Confidence Score that fuses them)
Each bar, the script scores how well the current setup aligns and sums it into a single 0-100 Confidence Score with a visual progress bar:
UT Bot direction - is price above/below the momentum-adaptive trailing stop
SuperTrend - direction plus a distance-from-line strength bonus
Market Structure - position inside the recent swing range and structure breaks
ADX Regime - is the market trending (signals allowed) or choppy (blocked)
Multi-Timeframe - does a higher timeframe agree with the signal direction
Volume - is conviction backed by above-average volume
RSI Divergence - is a recent divergence supporting or opposing the signal
Read it at a glance: 80+ = strong, 60+ = good, 40+ = weak, under 40 = very weak. Hover the Confidence cell for the full per-engine breakdown.
1. TREND DURATION FORECAST - the headline feature
When the trend flips, the script projects how many more bars the new trend may last, based on the chart's own past trends.
How it works:
Every completed trend's duration is recorded, kept separately for bullish and bearish trends.
On each new flip the script estimates the expected duration using an exponentially-weighted average and standard deviation (recent trends weighted more heavily).
The estimate is drawn as a fading gradient strip that projects forward from the flip, with a "Trend Analysis" label and survival-probability milestones at 25% / 50% / 75% / 90% / 100% of the projection.
The percentages are empirical - they show the share of past same-direction trends on THIS chart that actually lasted at least that long. Not a fixed textbook curve.
Three forecast modes:
Simple - median duration only. Clean and fast.
Standard - exponentially-weighted average plus spread (recommended default).
Advanced - Standard plus five adaptive multipliers: Structure (proximity to S/R), Asset Type (volatility profile), Flip Strength (volume + filters passed), Error Learning (self-correction from its own past misses), and Regime (trending vs choppy).
When history is thin, the forecast honestly falls back to a combined estimate and flags it, rather than showing false precision.
2. MOMENTUM-ADAPTIVE UT BOT CORE
The trailing stop is not a fixed ATR multiple. The effective sensitivity adapts each bar to:
Momentum - faster momentum widens the trail to stay in strong moves
Relative volume - conviction adjusts the distance
Asset type - auto-detected (crypto, forex, futures, index, fund, CFD, bond, stock) with a per-class multiplier, or set it manually
Volatility mode - Fixed, Dynamic, or Aggressive auto-adjustment to the current volatility regime
The result is a trailing engine that behaves differently on a calm blue-chip than on a volatile small-cap or crypto pair - without you re-tuning it.
3. ANTI-WHIPSAW AND SIGNAL FILTER STACK
Signals only fire when they survive the filters you enable, so you control the trade-off between frequency and quality:
ADX Regime - block signals in choppy, non-trending conditions
Cooldown and Confirmation - minimum bars between signals and N-bar direction confirmation
Swing - only trade aligned with recent swing structure
Full Candle - require the whole candle beyond the trailing line (no straddles)
Volume, RSI, Hull MA, SuperTrend - optional confirmation layers
High-Volatility and % Change - only trade meaningful moves
2-Bar Confirm - extra confirmation for volatile markets
Every active filter appears as a row in the table with a live pass/fail state, so you always know why a flip did or did not become a signal.
4. SUPPORT / RESISTANCE ZONES
The script clusters significant swing pivots into persistent price zones and draws only the two that matter right now: the nearest resistance above price and the nearest support below price. Each zone shows its price and touch count (e.g. "S 4.19 (3x)" = a support tested three times). A level that price has broken through drops off automatically, and an optional Zone Filter can block buys into resistance and sells into support. Pivot strength is adjustable so you can show only major levels.
5. AUTOMATIC STOP LOSS, TAKE PROFIT AND RISK CALCULATOR
On every signal the script draws a complete trade plan:
Stop Loss - choose from seven methods: ATR, % based, tick based, swing, scaled ATR, Smart Adaptive (auto-scales to volatility), or Safer (widest of several).
Take Profit - TP1 / TP1.5 / TP2 / TP3 as R multiples of the stop distance, with optional price and % labels, and a freeze-on-touch check mark for journaling.
Entry line - marks the signal price; all lines can auto-limit to 10 bars for a clean chart.
Risk Calculator - enter account size and risk (% or fixed amount) and it returns the position size in shares/contracts, in your own currency, with live FX conversion (USD, EUR, GBP, JPY, CAD, AUD, CHF) or a manual rate.
6. MULTI-TIMEFRAME CONFLUENCE AND RSI DIVERGENCE
The table shows the trend of up to seven higher timeframes (5m, 15m, 30m, 1H, 4H, D, W) via an EMA 9/21 cross, so you can see whether the bigger picture agrees before you act. An optional MTF filter blocks counter-trend signals. Separately, RSI divergence (regular bullish and bearish) is detected, labeled on the chart, and fed into the Confidence Score.
7. LIVE STATUS TABLE
A configurable dashboard (position and size adjustable) summarizes everything: asset type, Confidence Score, adaptive mode, current signal, win-rate / average-bars statistics, multi-timeframe row, divergence, forecast, position size, and one row per active filter - each with a detailed tooltip.
HOW TO USE IT - QUICK START
Step 1 - Add it and pick your sensitivity. Defaults suit intraday (5-15m). For scalping lower the Sensitivity/ATR; for swing raise them (see the Sensitivity tooltip for presets).
Step 2 - Read a signal. A Buy (aqua, below bar) or Sell (orange, above bar) appears only after the bar closes and all enabled filters pass. Check the Confidence Score and the Multi-TF row for context.
Step 3 - Use the trade plan. The Entry, Stop Loss and Take Profit lines draw automatically. Read the Position row for size. Use the Trend Duration Forecast strip as a realistic hold-time expectation - scale out near the median, reassess if price runs past the projection.
Step 4 - Set alerts. Use "Any alert() function call" to receive BUY/SELL and trend-flip alerts on bar close, or pick the specific "Momentum Buy/Sell Signal" conditions. All alerts fire on confirmed bars only.
TUNING FOR MORE OR FEWER SIGNALS
Too few signals: turn off MTF, then Full Candle, then lower the ADX threshold or the Anti-Whipsaw filter. Too many / choppy: raise the ADX threshold, enable Volume and Full Candle, increase Cooldown, or add 2-Bar Confirm. Every filter is independent and shown live in the table.
TECHNICAL NOTES
Pine Script v6, overlay, max bars back 5000.
No repaint: signals, lines, forecast and alerts are committed on bar close (barstate.isconfirmed); all higher-timeframe data uses lookahead_off.
Works on stocks, crypto, forex, futures and indices, on any timeframe.
Higher timeframes and longer history produce more reliable forecasts; a new symbol needs a number of completed trends before the duration model is meaningful.
LIMITATIONS
Trend-following by nature: signals arrive after a trend establishes, not at exact tops/bottoms.
Best in trending conditions; use the ADX regime and filters to avoid chop.
The duration forecast needs history to become meaningful and is a statistical estimate, never a guarantee.
DISCLAIMER
This script is an educational analysis tool, not financial advice. Trading stocks, crypto, forex and futures involves substantial risk of loss - you can lose all invested capital. Forecasts, probabilities and win-rate statistics are calculated from historical chart data and do not guarantee future performance. Test on paper first, and you are solely responsible for your own trading decisions.
Feedback and suggestions are welcome in the comments. Happy trading.
Indicator
Median Cascade Trend [BackQuant]Median Cascade Trend
Overview
Median Cascade Trend is a noise-resistant trend-following indicator that combines multiple causal median filters , an Ehlers-style two-pole Super Smoother , and a configurable chop-gating system .
Its purpose is to identify meaningful directional structure while rejecting the types of price movement that frequently cause conventional moving averages to whipsaw:
Single-bar spikes
Short-lived price shocks
Irregular wicks
Low-efficiency sideways movement
Weak slopes that do not represent genuine directional progress
The indicator processes price in three distinct stages:
A median-filter cascade removes impulsive and short-duration noise.
A two-pole low-pass filter smooths the remaining structural signal.
A chop gate decides whether a change in direction is strong enough to update the active trend state.
This creates a trend line that is intentionally more selective than a standard moving average. The line itself can continue evolving, but trend-state changes are only accepted when the underlying movement passes the chosen quality tests.
The result is a system that separates:
The estimated trend line
The raw direction of that line
The confirmed trend regime
That distinction is important. The indicator does not assume that every small turn in a smoothed line represents a valid trend reversal.
Core idea
Most trend filters are built around linear averaging. They combine historical prices using fixed or exponentially decaying weights.
Examples include:
SMA
EMA
WMA
HMA
DEMA
These filters are effective for general smoothing, but they have a weakness: a single extreme observation can influence the output immediately.
If one bar produces a large wick or temporary price shock, a moving average will usually be pulled toward that value because it includes the magnitude of every observation.
A median filter behaves differently.
Instead of averaging the values inside a window, it sorts them and selects the middle observation. This makes it highly resistant to isolated extremes.
Median Cascade Trend uses this property repeatedly before applying traditional low-pass smoothing.
The central idea is:
Remove impulsive noise first.
Smooth the cleaned signal second.
Confirm direction only when the movement is efficient or sufficiently steep.
This ordering is deliberate. Smoothing a noisy series and filtering noise before smoothing are not the same thing.
Where median filtering comes from
Median filters are widely used in digital signal processing, image processing, and engineering.
One of their best-known applications is the removal of impulse noise , sometimes called salt-and-pepper noise in image processing.
Impulse noise consists of isolated extreme observations that are not representative of the surrounding signal.
In market data, comparable events include:
Temporary liquidity gaps
Single-bar stop runs
Erroneous prints
Sharp wick reversals
News spikes that immediately retrace
A linear smoother such as an SMA or EMA cannot distinguish between an important sustained move and an isolated outlier. Both are included according to their numerical magnitude.
A median filter is nonlinear. It selects the central-ranked value rather than calculating an arithmetic mean.
For example, consider five observations:
100
101
102
103
140
The average is:
109.2
The median is:
102
The isolated value at 140 significantly distorts the average but has almost no effect on the median.
This is why median filtering is especially useful when the objective is to preserve structural turns while rejecting isolated noise.
What makes a median filter nonlinear
A normal moving average can be represented as a weighted sum of its inputs.
A median filter cannot.
Its output depends on the ordering of observations, not their arithmetic combination. This makes it a nonlinear filter.
That has several important consequences:
Outliers have limited influence.
Edges and structural shifts can be preserved more cleanly.
The response is not equivalent to ordinary low-pass averaging.
The filter may hold a value until enough observations confirm a change.
In trading terms, the median filter often behaves more like a structural selector than a conventional average.
What “causal” means
The median stages in this indicator are causal.
A causal filter uses:
The current bar
Past bars
It does not use future observations.
This matters because many visually smooth filtering methods can only produce their best result by centering the calculation around the current point, which requires future data.
This script does not do that.
Every value is calculated from information available at that bar, making the filter suitable for live use.
Why use a cascade of median filters
A single median filter can remove isolated spikes, but noise does not always occur as one extreme bar.
It can appear as:
Two-bar shocks
Short bursts of alternating movement
Small clusters of irregular candles
Residual distortion left after the first filtering pass
A cascade applies multiple median stages sequentially:
Stage 1 processes the original source.
Stage 2 processes the output of Stage 1.
Stage 3 processes the output of Stage 2.
Each stage removes a different layer of short-duration instability.
The process is similar to progressively cleaning a signal:
The first stage removes obvious impulse noise.
The second stage removes remaining short-term irregularity.
The third stage produces a more stable structural series before low-pass smoothing.
Median Stage 1
The first median stage is intended to reject isolated one-bar disturbances.
With a short setting such as 3:
The filter remains responsive.
Single-bar spikes are strongly suppressed.
Most genuine multi-bar movement remains visible.
This is the most tactical stage.
Median Stage 2
The second stage receives an already-cleaned input.
Its role is to remove:
Short-duration residual noise
Small alternating movements
Irregularity that survived the first stage
A slightly longer setting such as 5 creates stronger structural consistency.
Median Stage 3
The third stage provides the final nonlinear cleaning pass.
With a longer setting such as 7:
The output becomes more stable.
Short-lived reversals are reduced.
Only more persistent changes are passed into the low-pass stage.
This is the most conservative median stage.
Cascade Stages input
The user can select how many median stages are active:
1 stage: fastest and most responsive
2 stages: balanced noise rejection
3 stages: strongest impulse-noise suppression
The unused stages are still calculated internally, but the selected stage determines which output is sent into the Super Smoother.
Why cascade instead of one very long median
Applying several shorter filters is not always equivalent to applying one very long median filter.
A long median window can:
Delay structural changes heavily
Flatten shorter trend legs
Become insensitive to local turns
A cascade allows the filtering process to be distributed across stages.
This provides greater control over:
How aggressively isolated noise is removed
How much short-duration movement survives
How smooth the final structural input becomes
It also lets users build a progression such as 3, 5, and 7 rather than applying one blunt window.
The low-pass stage
After the median cascade, the signal is passed into a two-pole Super Smoother .
The median cascade removes nonlinear impulse noise, but its output can still contain:
Small step changes
Residual high-frequency movement
Sharp transitions caused by median replacement
The Super Smoother converts that cleaned but potentially stepped series into a smoother trend line.
This creates a hybrid filtering system:
Nonlinear median filtering for outlier rejection
Recursive low-pass filtering for smooth trend extraction
These components solve different problems.
Where the Super Smoother comes from
The Super Smoother is associated with John F. Ehlers’ application of digital signal processing techniques to financial markets.
It is based on the behavior of a two-pole low-pass filter and is designed to suppress high-frequency components more effectively than many conventional moving averages.
Traditional moving averages are simple smoothers, but they are not necessarily optimized as frequency-selective filters.
The Super Smoother uses recursively calculated coefficients derived from:
Exponential decay
Trigonometric terms
A selected cutoff period
The objective is to reduce high-frequency market noise while retaining lower-frequency directional structure.
What a low-pass filter does
A low-pass filter allows slow-moving components of a signal to pass while reducing fast-moving components.
In market terms:
Slow components represent broader trend structure.
Fast components represent short-term noise, rapid oscillation, and microstructure disturbance.
The Low-Pass Length determines the separation.
Lower values:
Allow more short-term movement through.
React faster.
Produce more turns.
Higher values:
Reject more high-frequency movement.
Produce a smoother trend line.
Respond later to structural changes.
Why use a two-pole filter
The number of poles broadly describes the order and steepness of a filter.
A two-pole filter generally provides:
Stronger attenuation of high-frequency noise than a one-pole filter.
A smoother output.
A more defined frequency response.
It also uses prior filter outputs recursively, allowing substantial smoothing without requiring an extremely long direct averaging window.
The full signal-processing chain
The calculation can be understood as:
Raw price source
Median Stage 1
Optional Median Stage 2
Optional Median Stage 3
Two-pole Super Smoother
Direction measurement
Chop-quality validation
Persistent trend state
Each layer has a distinct purpose.
Median cascade
Rejects isolated and short-lived noise.
Super Smoother
Reduces the remaining high-frequency variation.
Direction logic
Determines whether the final line is rising or falling.
Chop gate
Determines whether that directional change is trustworthy enough to update the confirmed trend.
Trend direction calculation
The raw direction is determined by comparing the current trend line with its value several bars ago:
Bullish if trendLine > trendLine
Bearish if trendLine < trendLine
Neutral if equal
The Direction Lookback controls how much movement is required before the line is classified as rising or falling.
A one-bar comparison is extremely responsive but can detect tiny slope changes.
A longer comparison:
Measures movement across a wider interval.
Reduces sensitivity to one-bar flattening.
Produces more stable raw direction.
Raw trend versus confirmed trend
One of the most important design choices is that the script separates:
Raw trend
Confirmed trend
The raw trend reflects the current direction of the filtered line.
The confirmed trend is persistent and changes only when:
The raw trend points in a new direction.
The chop gate is open.
If the line turns but the gate is closed:
The active trend state remains unchanged.
The attempted flip can optionally be displayed as blocked.
This prevents every small line turn from immediately becoming a regime reversal.
Why a chop filter is needed
Even an advanced smoother can turn repeatedly during sideways markets.
Smoothing reduces noise, but it does not determine whether movement is:
Directional
Efficient
Large enough relative to volatility
A line can move upward and downward in a range while making almost no net progress.
The chop gate addresses this by evaluating two separate properties:
Directional efficiency
ATR-normalized slope
Efficiency Ratio
The first gate component measures how efficiently the trend line has moved over a selected window.
The calculation compares:
Net movement
Total movement
Net movement is:
|trendLine - trendLine |
Total movement is:
Sum of |bar-to-bar changes in trendLine|
The Efficiency Ratio is:
Efficiency = Net Movement / Total Movement
The result ranges approximately from 0 to 1.
Efficiency near 1
The line has moved mostly in one direction.
Example:
It advanced 10 units.
Its total path was approximately 11 units.
This indicates a clean directional move.
Efficiency near 0
The line has moved back and forth without achieving much net progress.
Example:
It travelled 20 units in total.
But ended only 1 unit from where it started.
This indicates chop.
Where the Efficiency Ratio comes from
The Efficiency Ratio is commonly associated with Perry Kaufman’s work on adaptive market analysis and the Kaufman Adaptive Moving Average.
Its purpose is to distinguish directional movement from noisy movement.
It does not measure the size of a move alone.
It measures the quality of the path.
This makes it highly suitable as a trend gate.
A market can be volatile but inefficient. It can move aggressively in both directions and still make little progress.
The Efficiency Ratio helps identify that distinction.
Minimum Efficiency
The Minimum Efficiency input determines the directional quality required for the efficiency condition to pass.
Lower values:
Allow more irregular movement.
Open the gate more frequently.
Produce earlier but noisier trend changes.
Higher values:
Require cleaner directional travel.
Block more sideways flips.
Produce fewer but more selective regime changes.
ATR-Normalized Slope
The second gate component measures how large the trend-line movement is relative to current market volatility.
It calculates:
|trendLine - trendLine | / ATR
This converts the line’s movement into ATR units.
Without normalization, a slope of 10 points could be:
Large for one instrument
Negligible for another
Large in a quiet regime
Small during extreme volatility
ATR normalization makes the slope more comparable across assets and regimes.
What normalized slope measures
The Efficiency Ratio asks:
Was the movement directionally clean?
ATR-normalized slope asks:
Was the movement large enough to matter?
These are different questions.
A move can be highly efficient but extremely small.
For example:
A perfectly smooth drift of only 0.02 ATR may not justify a new trend regime.
A move can also be large but inefficient:
A violent range may travel several ATRs while repeatedly reversing.
Using both filters gives a more complete view of trend quality.
Minimum ATR-Normalized Slope
The Minimum ATR-Normalized Slope defines the movement threshold.
Lower values:
Accept weaker slopes.
React sooner.
Allow more low-energy flips.
Higher values:
Require stronger displacement.
Reduce weak trend transitions.
Delay signals until movement becomes more meaningful.
Gate modes
The indicator provides four chop-gate modes.
Efficiency Ratio
Only directional efficiency is required.
Best suited for users who care primarily about whether movement is clean, regardless of its exact magnitude.
ATR-Normalized Slope
Only slope strength is required.
Best suited for users who want movement to exceed a volatility-adjusted threshold, even if the path is not perfectly efficient.
Both
Both conditions must pass:
Efficiency must be high enough.
Slope must be strong enough.
This is the strictest mode and generally provides the strongest chop rejection.
Either
Only one condition must pass.
This is more permissive:
A very clean slow trend may pass through efficiency.
A powerful but less orderly move may pass through slope.
It provides a balance between responsiveness and filtering.
Gate behavior
When the gate is open:
A new raw direction can update the trend state.
Bullish and bearish flips can be confirmed.
When the gate is closed:
The previous confirmed trend persists.
Attempted changes are blocked.
The display can dim, turn neutral, or hide.
This means the indicator behaves like a regime-holding system during chop.
It does not constantly reset to neutral. It retains the last confirmed direction until sufficient evidence supports a new one.
Blocked flips
A blocked flip occurs when:
The filtered line attempts to change direction.
The attempted direction differs from the confirmed trend.
The chop gate is closed.
The raw direction has just changed.
These can optionally be displayed as small X markers.
Blocked flips are useful because they show:
Where a basic slope indicator would have reversed.
Where the chop filter rejected that reversal.
How much signal noise the gate is removing.
They are not trade signals. They are diagnostic information.
Trend persistence
The trend variable is persistent.
Once bullish:
It remains bullish until a valid bearish change passes the gate.
Once bearish:
It remains bearish until a valid bullish change passes the gate.
This persistence is central to the design.
The indicator is not merely coloring every local slope. It is maintaining a confirmed market regime.
Display modes when the gate is closed
The indicator offers three ways to display gated conditions.
Dim
The current trend color remains visible but becomes transparent.
This communicates:
The last confirmed trend is still active.
Current conditions are not strong enough to confirm a new direction.
This is useful when you want regime continuity without overstating conviction.
Neutral
The trend line and candles switch to the selected gate color.
This communicates:
The directional regime is being withheld.
Current conditions are considered non-trending or uncertain.
Hide
The trend line disappears while the gate is closed.
This is the strictest visual mode.
It communicates:
No actionable trend state should be displayed during the gated condition.
Trend line coloring
The base color is determined by the confirmed trend:
Bullish trend uses the long color.
Bearish trend uses the short color.
Uninitialized state uses gray.
The gate display can then modify the final presentation.
This allows the chart to show:
Direction
Confirmation status
Chop-filter activity
without needing a separate panel.
Gradient fill
The indicator fills the area between price and the trend line.
When price is above the trend line:
A bullish gradient is displayed.
When price is below the trend line:
A bearish gradient is displayed.
The fill is stronger near the trend line and fades toward price.
This emphasizes the trend line as the structural reference.
The fill color follows the gate display state:
Full trend color when active
Dimmed during a closed gate in Dim mode
Neutral when configured
Hidden when the trend line is hidden
Trend glow
A soft glow is created around the filtered line using a small ATR-scaled distance.
The glow width is:
ATR(14) × 0.06
Using ATR ensures the glow remains visually proportional across assets and price scales.
The glow does not affect the calculation. It improves readability and reinforces the line as the central structural output.
Candle coloring
Candles can be colored using the confirmed trend state.
When the gate is open:
Bull trend produces bullish candles.
Bear trend produces bearish candles.
When the gate is closed:
Dim mode fades the existing trend color.
Neutral mode uses the gate color.
Hide mode removes the candle override.
This gives an immediate full-chart view of both trend and gate status.
Signal logic
Signals only occur when the confirmed trend changes.
Bullish flip
A bullish signal requires:
The active trend becomes bullish.
The previous trend was bearish.
The gate accepted the change.
Bearish flip
A bearish signal requires:
The active trend becomes bearish.
The previous trend was bullish.
The gate accepted the change.
This is more selective than simply detecting a change in line slope.
How to interpret the indicator
Bullish confirmed regime
A bullish regime means:
The median-filtered and low-pass-smoothed trend line is rising.
The move satisfied the selected chop-filter conditions when the regime changed.
The last accepted direction remains bullish.
Bearish confirmed regime
A bearish regime means:
The final trend line is falling.
The bearish change passed the selected quality gate.
The last accepted direction remains bearish.
Gate closed in an existing trend
This means:
The market is no longer moving with sufficient efficiency or slope.
A new reversal cannot currently be confirmed.
The previous regime remains stored.
This often occurs during:
Consolidation
Pullbacks
Low-volatility drift
Transition phases
Repeated blocked flips
Repeated blocked changes suggest:
The filtered line is oscillating.
Directional quality is weak.
A normal trend-following system would likely be whipsawing.
This is exactly the environment the gate is designed to avoid.
How to use it in practice
1. Directional regime filter
Use the confirmed trend to filter other setups:
Favor long trades during bullish regimes.
Favor short trades during bearish regimes.
Reduce activity when the gate is closed.
2. Trend-following entries
Bullish and bearish flips can be used as directional entry triggers, especially when confirmed by:
Price structure
Breakouts
Volume expansion
Higher-timeframe alignment
3. Pullback framework
During an established trend:
Price returning toward the trend line may represent a pullback.
If the gate remains closed but the trend does not flip, the move may be consolidation rather than reversal.
If the opposite direction eventually passes the gate, the regime has changed more meaningfully.
4. Chop avoidance
The most direct use is avoiding repeated entries during low-quality conditions.
When the display is dim, neutral, or hidden:
Reduce confidence in new trend signals.
Wait for efficiency or slope to recover.
5. Diagnostic comparison
Enable blocked flips to see how often the raw trend attempts to reverse without confirmation.
This helps tune:
Efficiency threshold
Slope threshold
Gate mode
Input guide
Source
Selects the price series used by the median cascade.
Close is the standard choice.
Alternatives such as hl2 or hlc3 may produce a slightly smoother structural input.
Cascade Stages
Controls how many median filters are used.
1: responsive
2: balanced
3: strongest noise rejection
Median Stage Lengths
Control the window used at each stage.
Shorter values:
Preserve responsiveness.
Remove only very short-duration noise.
Longer values:
Produce stronger structural filtering.
Delay shorter turns.
Low-Pass Length
Controls the two-pole Super Smoother.
Lower:
Faster
More reactive
Higher:
Smoother
More conservative
Direction Lookback
Controls how far back the current line is compared when determining raw direction.
Lower:
Faster slope changes
Higher:
More stable directional measurement
Efficiency Length
Controls the window used to measure net movement versus total path movement.
Shorter:
More responsive efficiency reading
More sensitive to recent chop
Longer:
More stable directional-quality assessment
Minimum Efficiency
Controls how clean the directional path must be.
Higher values make the gate stricter.
Slope Length
Controls the interval across which trend-line movement is measured.
Slope ATR Length
Controls the ATR baseline used to normalize slope.
Minimum ATR-Normalized Slope
Controls the minimum volatility-adjusted displacement required.
Higher values require stronger movement.
Tuning examples
Faster trend configuration
1 or 2 median stages
Short median windows
Lower Super Smoother length
Direction Lookback of 1 or 2
Either gate mode
Lower efficiency and slope thresholds
Balanced configuration
2 or 3 median stages
Progressive windows such as 3, 5, 7
Moderate Super Smoother length
Both gate mode
Moderate thresholds
Conservative configuration
3 stages
Longer median windows
Higher Super Smoother length
Longer Direction Lookback
Both gate mode
Higher minimum efficiency and slope
How this differs from a normal moving average
A standard moving average:
Uses linear averaging.
Responds directly to outlier magnitude.
Changes direction whenever its slope changes.
Median Cascade Trend:
Uses nonlinear outlier-resistant preprocessing.
Applies a proper recursive low-pass stage.
Separates raw direction from confirmed regime.
Blocks changes during inefficient or weak movement.
How this differs from a normal median filter
A basic median filter only removes impulse noise.
This indicator extends the idea by adding:
Multiple median stages
Low-pass smoothing
Direction measurement
Efficiency gating
Volatility-normalized slope gating
Persistent trend states
Signals and alerts
It is not simply a median-smoothed line. It is a complete trend-regime system built on median preprocessing.
How this differs from a Supertrend
A Supertrend uses ATR bands around price and changes state when price crosses the trailing boundary.
Median Cascade Trend does not use a volatility band to define direction.
Instead:
Direction comes from the slope of the filtered trend line.
ATR is used only to normalize slope and scale visuals.
Trend changes are controlled by movement quality rather than price crossing a stop band.
Strengths
Strong rejection of isolated price spikes
Preserves broader structural movement
Combines nonlinear and linear filtering
Separates raw turns from confirmed trend changes
Configurable chop rejection
Volatility-normalized slope testing
Persistent directional regimes
Blocked-flip diagnostics
Fully causal calculation
Limitations
Strong filtering can delay genuine reversals.
Long median windows may suppress shorter trend legs.
Strict gate settings can hold the previous regime too long.
Loose gate settings reduce the benefit of chop filtering.
Median filters can produce stepped transitions before low-pass smoothing.
The indicator remains reactive rather than predictive.
Best use cases
Median Cascade Trend is particularly suited for:
Trend filtering in noisy markets
Reducing false reversals caused by wicks
Swing-trading regime identification
Filtering entries from faster systems
Dynamic trend-structure visualization
Avoiding sideways-market whipsaws
It can be applied across:
Equities
Indices
Futures
Forex
Cryptocurrency
Commodities
Alerts
The indicator provides alerts for:
Confirmed bullish trend changes
Confirmed bearish trend changes
Trend changes blocked by the chop filter
The blocked-flip alert is especially useful for monitoring when the line attempts to reverse but market quality remains insufficient.
Summary
Median Cascade Trend is a multi-stage trend extraction system designed to reject impulsive market noise before determining direction. It first applies up to three causal median filters, progressively removing isolated spikes and short-duration disturbances. The cleaned series is then passed through a two-pole Super Smoother to extract a stable low-frequency trend line.
Rather than accepting every change in slope, the indicator evaluates the quality of the movement using directional efficiency and ATR-normalized slope. Depending on the selected gate mode, trend changes can require clean directional travel, sufficient volatility-adjusted displacement, or both.
This produces a persistent trend state that changes only when the filtered line turns and the surrounding movement is strong enough to justify the reversal. The final result is a robust trend-following framework that combines outlier rejection, low-pass smoothing, directional-quality measurement, and chop suppression into a single overlay.
Indicator
Indicator
Market Regime & Risk DashboardAn analytics and risk dashboard. It tells you what state the market is in and how much to risk. It does NOT generate buy or sell signals and makes no claim of edge.
What it shows
- Volatility regime: realized volatility bucketed by its own percentile history (Low / Normal / High / Extreme)
- Realized volatility and its percentile rank
- Trend regime: Kaufman Efficiency Ratio bucketed into Trending / Mixed / Choppy
- ATR % of price, an ATR-based stop distance, and a fixed-fractional position size for your chosen risk percent
- Drawdown from the recent high
How to read it
Volatility regime drives position sizing: in Extreme regimes the same percent risk implies a far smaller position, and the dashboard does that maths for you. The trend regime is descriptive, not predictive.
Honest by design
- No buy/sell signals, no alpha claim. This is a measurement tool, not a prediction.
- Non-repainting: every value is a function of confirmed closes, no request.security, no future data. The current forming bar updates in real time, which is normal, not historical repaint.
- Every number is defined, with its limitations stated.
Open-source and MIT licensed.
Disclaimer: impersonal educational and analytics tool. This is not investment advice, not a personalised recommendation, and carries no performance guarantee. Past results do not predict future results. You are solely responsible for your own trading decisions. Indicator
Quant Confluence Engine [JOAT]Quant Confluence Engine
Scores several independent market factors into one weighted composite, so signals fire on agreement across dimensions rather than on any single trigger.
What it is
Single-factor signals are fragile: a momentum cross, a moving-average flip or a volume spike each fails often on its own. This engine measures several independent factors, normalises them to a common scale, and blends them into one bipolar confluence score. A signal is produced only when enough factors line up, and the transparency of the score lets you see exactly why. It is an original scoring framework, not a bundle of overlaid classic indicators.
How it works
• The factors — the engine evaluates a set of complementary dimensions, each capturing a different aspect of the tape: trend alignment, momentum, volatility regime, volume behaviour, price structure and stretch relative to a mean. Each factor is computed with a standard, well-understood method and then scaled so it contributes fairly.
• Normalisation — every factor is converted to a bounded contribution, so no single input can dominate the composite purely because of its raw magnitude.
• Composite score — the contributions are combined into one signed 0-centred score. Positive means the factors lean bullish, negative bearish, and the magnitude expresses how strong the agreement is.
• State-machine signals — a Buy fires when the score crosses into sufficient bullish agreement from a non-bullish state; a Sell is the mirror. Because a signal requires a genuine state change, the engine will not re-fire the same direction bar after bar — signals are self-spacing by construction.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable factor-grid panel shows each factor's current lean (up or down) alongside a bipolar composite-score headline, the active signal, a conviction reading, and a live first-target-before-stop tally from closed bars only. The grid makes it obvious which factors are driving or vetoing a setup.
How to use it
• Works on any asset and timeframe; the factors adapt to the data.
• Read the grid before acting — a signal backed by broad agreement differs from one carried by a single strong factor.
• Raise the agreement requirement for fewer, higher-conviction signals, or lower it for more frequent ones.
Settings
Per-factor lengths and weights, the agreement threshold, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The value is the framework itself: a normalised, weighted multi-factor score with a transparent per-factor readout and a state-machine trigger that prevents signal spam. It is designed so a trader can inspect the reasoning, not just accept a label — which is precisely what a confluence approach should offer.
Notes and limitations
• Confluence reduces some false signals but does not remove them; correlated factors can all be wrong together in unusual conditions.
• Weighting is a design choice — different weights suit different markets, so treat the defaults as a starting point.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Custom Built IndicatorCustom Built Indicator | MisinkoMaster
Trading is often viewed as a purely mathematical or technical discipline, but the truth is that successful trading requires immense creativity. There are thousands of brilliant traders who have incredible, unique structural concepts in their minds but feel held back because they do not know how to write code. The Custom Built Indicator (CBI) was created to bridge that gap.
This indicator acts as a blank, programmable canvas designed to unlock your inner quantitative designer. It is a fully modular trading framework that allows you to build, test, and personalize your own technical systems without touching a single line of code. By giving you absolute control over the baseline foundation, the volatility wrapper, the smoothing layer, and the conditional trend logic, CBI makes algorithmic design accessible to everyone. Think of it as trading art—a sandbox where you can bring your most detailed visual concepts to life, spark your curiosity, and perhaps even inspire you to take your first steps into learning Pine Script development.
How It Works: The Modular Sandbox
Instead of trapping you inside a single, rigid formula, CBI breaks down technical analysis into five independent, hot-swapping algorithmic layers:
Baseline Settings: This establishes the gravitational core of your asset's price action. You can set this baseline using standard moving averages, advanced low-lag options, mathematical centerpoints like the median or statistical mode, or even a pure historical price offset.
Volatility Settings: This dictates how your system measures market expansion and compression. You can wrap your baseline using standard range tools, pure standard deviation, or robust absolute deviation models to map out precise market extremes.
Smoothing Settings: A unique layer that allows you to smooth out the upper and lower boundary bands independently of the central baseline. Applying secondary smoothing allows you to create highly tailored, fluid bands that conform uniquely to market noise.
Trend Logic Settings: The brain of your strategy. Here, you decide exactly what constitutes a market regime shift. You can define trend conditions based on price breaking the outer channels, crossing the baseline, or even pure momentum acceleration.
Confirmation Filters: To minimize false signals, you can apply secondary algorithmic checks—such as volume verification, rate of change agreement, or candle validation—before any structural trend shift is confirmed.
An Ocean of Creative Possibilities
To understand just how massive this sandbox is, we can calculate the exact number of unique logical setups available. If we completely ignore all numerical values (like lookback periods or band multipliers) and only look at the dropdown menus, the sheer volume of structural combinations is staggering:
Baseline Type: 11 options
Volatility Type: 5 options
Upper Band Smoothing Type: 11 options
Lower Band Smoothing Type: 11 options
Long Signal Logic: 3 options
Short Signal Logic: 3 options
Confirmation Type: 4 options
The Custom Built Indicator provides exactly 239,580 unique, without numerical inputs, meaning everyone will have a completely unique layout that fits them and their style.
When you factor in that the crossover and crossunder source inputs can also be independently assigned to any price data point, the mathematical possibilities soar into the millions. Every single trader can find, name, and perfect a structural footprint that is entirely their own.
Key System Features
On-Chart Canvas Synchronization: The system automatically tracks your custom logical state and dynamically projects it back onto the screen, shifting candle colors and painting custom visual envelopes to represent your unique market regime.
Asymmetric Modeling: Because the upper and lower multipliers and smoothing options are completely separated, you can build asymmetric strategies—such as tight, highly sensitive upper boundaries for fast momentum breakouts combined with wide, volatile lower boundaries to catch major macroscopic market drops.
Forward-Looking Integration: The conditional logic allows you to experiment with advanced structural confirmations, such as requiring two consecutive breakout bars or demanding expanding volume before confirming a trend pivot.
Input Parameters Layout
General & Baseline Settings
Source: The primary price feed running into your system core.
Baseline Type & Lookback: Chooses the foundational trend line, offering options ranging from traditional SMA, EMA, and WMA, to advanced zero-lag options like TEMA, HMA, ALMA, or statistical Mode and Median.
Volatility & Smoothing Settings
Volatility Type & Lookback: Defines the range measurement matrix (Average True Range, Median True Range, Standard Deviation, Mean Absolute Deviation, or Median Absolute Deviation).
Upper & Lower Multipliers: Independently scales the distance of the bands from the baseline.
Additional Smoothing Type & Lookback: Provides an extra filtering pass specifically for the outer bands to eliminate jagged lines and smooth out execution zones.
Trend Logic Settings
Crossover/Crossunder Source: Selects the specific price sources required to breach the upper and lower boundaries.
Long/Short Signal Logic: Sets the core activation condition (breaking bands, crossing the baseline, or tracking positive/negative rate of change).
Confirmation Type: Applies an optional secondary validation layer (Volume, Baseline ROC, or Extra Bar validation).
Embrace the Art of Strategy Design
The ultimate goal of the Custom Built Indicator is to prove that technical analysis doesn't have to be rigid or intimidating. It is a playground for your ideas. Load it onto your chart, test out your most unconventional theories, mix architectures that traditional packages keep separate, and discover what works for your unique visual style. If you find a combination that speaks to you, use that spark to look under the hood—because the journey from clicking options to writing your own custom scripts is much shorter than you think.
Disclaimer: Trading financial markets involves high risk. This technical script is designed as an educational and informational tool to support your rule-based mechanical execution system and does not constitute financial advice.
Final Note: If you find any bugs, errors, contact me either through DMs or in the comments, and I will fix them and update the script. Indicator
Fractal Support & Resistance Zones invincible]Fractal Support & Resistance Zones
Fractal Support & Resistance Zones is an advanced market-structure and price-reaction framework designed to identify, evaluate, and dynamically manage support and resistance zones derived from confirmed fractal pivots.
Unlike traditional support and resistance indicators that simply draw horizontal levels at swing highs and lows, this indicator treats every zone as a dynamic market structure object. Each zone develops through its own lifecycle based on price interaction, independent retests, reaction strength, penetration, estimated buying and selling activity, structural confirmation, trend alignment, and eventual support/resistance role reversal.
The objective is not simply to show where price previously turned.
The objective is to evaluate which zones are still technically relevant, which have gained confirmation, which are weakening, and which may provide better structural trade locations.
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Fractal-Based Zone Detection
The indicator identifies two independent classes of fractal pivots:
Weak Fractals
Shorter-length pivots designed to capture local price reactions and minor structural turning points.
Major Fractals
Higher-strength pivots based on a larger fractal window. These represent more significant swing highs and swing lows and receive greater importance within the zone-quality model.
Fractal support zones are created from confirmed pivot lows, while fractal resistance zones are generated from confirmed pivot highs.
The detection timeframe can be independently selected, allowing zones from a higher timeframe to be displayed on a lower-timeframe chart.
Higher-timeframe fractal data is requested with lookahead disabled to prevent future data from being intentionally introduced into the pivot calculation.
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Dynamic Support and Resistance Zones
The indicator creates price zones rather than single horizontal lines.
Markets rarely react from one exact price. Orders, liquidity, and previous positioning are often distributed across a price range. The zone model therefore attempts to represent the broader reaction area surrounding a fractal pivot.
Three zone-width methods are available:
ATR
Zone width is calculated from Average True Range and automatically adapts to market volatility.
Pivot Candle
The structure of the original fractal candle is used to determine the zone width.
Hybrid Candle + ATR
Combines pivot-candle structure with an ATR-based volatility limit.
The hybrid method is designed to prevent unusually large pivot candles from creating excessively wide support or resistance areas.
A minimum tick-based width can also be configured for instruments with very small price movements.
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Fractal Zone Clustering
Markets frequently produce several nearby fractal pivots around the same price area.
Drawing every pivot independently can create overlapping boxes and unnecessary chart congestion.
The indicator therefore includes a fractal clustering engine.
Nearby same-side fractals may be merged into a common structural zone when:
* They are within the configured ATR merge distance.
* The resulting merged zone does not exceed the maximum permitted ATR width.
* The maximum cluster count has not been exceeded.
* Fresh major zones are not being merged into previously tested or damaged zones when protection is enabled.
The cluster count becomes one component of the zone-quality model.
A cluster does not automatically mean a zone is strong. It simply indicates that multiple independent fractal structures developed around a similar price area.
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Independent Retest Detection
A major feature of the indicator is the distinction between bars inside a zone and independent zone retests.
If price remains inside a support or resistance area for several candles, those candles are not counted as multiple tests.
A new test is counted only after price:
1. Interacts with the zone.
2. Moves sufficiently away from the zone.
3. Travels the configured ATR reset distance.
4. Returns to the zone again.
This creates a more realistic retest model and avoids artificially increasing the test count during sideways congestion.
The label displays the number of independent tests recorded for each selected zone.
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ATR-Based Reaction Measurement
After an independent zone retest, the indicator measures how strongly price reacts away from the zone.
Reaction strength is normalized using ATR.
For a support zone, the engine measures upward movement from the reaction anchor.
For a resistance zone, the engine measures downward movement from the reaction anchor.
The strongest reaction generated by the zone is stored as its **Best Reaction ATR**.
Two configurable reaction thresholds are used:
Verified Reaction
The zone has produced the minimum ATR reaction required for technical validation.
Proven Reaction
The zone has generated a stronger ATR reaction and has also accumulated sufficient independent testing.
This prevents a zone from receiving a high structural status simply because price briefly touched it.
The market must demonstrate an actual directional response.
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Dynamic Zone Status System
Every zone is continuously classified according to its current structural condition.
FRESH
A newly created major zone that has not yet received an independent retest.
Fresh zones may represent relatively untouched structural areas.
WEAK
A zone originating from the shorter weak-fractal detection model.
Weak zones can still produce valid reactions but receive a lower fractal-grade contribution in the quality model.
VERIFIED
A zone that has been tested and remains structurally active.
Reaction behaviour and zone validation contribute dynamically to its score.
PROVEN
A zone that has accumulated multiple independent tests and generated a reaction exceeding the configured Proven Reaction ATR threshold.
Proven zones represent areas with demonstrated historical reaction behaviour.
DAMAGED
Price has penetrated a configurable percentage of the zone.
A damaged zone has not necessarily broken, but deeper penetration reduces its quality score.
BROKEN
Price has invalidated the zone according to the selected break-confirmation method.
Break confirmation can use either:
* Close Beyond Zone
* Full Candle Beyond Zone
Broken zones may optionally remain visible for historical analysis.
FLIPPED SUPPORT / FLIPPED RESISTANCE
A previously broken zone has confirmed a structural role reversal.
Previous support may become resistance.
Previous resistance may become support.
The indicator does not immediately flip a zone when price crosses it. A separate role-reversal confirmation process is required.
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Zone Damage and Penetration Tracking
Zone quality is not binary.
A support or resistance area may gradually weaken before it completely breaks.
The indicator continuously measures the maximum percentage of zone penetration.
For support, penetration is measured downward through the support area.
For resistance, penetration is measured upward through the resistance area.
When penetration exceeds the configured damage threshold, the zone is classified as ** DAMAGED
Damage also applies a progressive penalty to the quality score.
This means a deeply penetrated zone may remain technically valid while receiving a lower structural ranking.
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Support and Resistance Role Reversal
The indicator contains a dedicated zone-flip engine.
After a support or resistance zone breaks, the engine monitors whether price moves sufficiently beyond the former zone.
The broken zone must first establish separation from price using a configurable ATR distance.
Price must then return to the previous structural area.
Depending on the selected confirmation mode, the indicator can require:
Zone Reclaim Only
The opposite-side retest itself is sufficient.
Close Away
Price must close a configurable ATR distance away from the zone.
Rejection or Engulfing
The retest can be confirmed through rejection behaviour, an engulfing candle, or a sufficiently strong close away from the zone.
Once confirmed:
* Broken support can become resistance.
* Broken resistance can become support.
The zone is then reset into a new lifecycle as a flipped structural area.
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Estimated Buy and Sell Activity
The indicator includes an estimated directional volume model.
Because standard PulseWire volume does not directly provide true executed bid and ask volume for every market, buying and selling activity is estimated from candle position within the candle range.
A close nearer the candle high allocates a greater portion of volume to estimated buying activity.
A close nearer the candle low allocates a greater portion of volume to estimated selling activity.
The model can use:
* Pivot volume only.
* Pivot volume plus independent retest activity.
Selected zone labels display estimated activity as:
B 64% | S 36%
This should be interpreted as an estimated directional participation model rather than true exchange-level order-flow delta.
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Multi-Factor Zone Quality Model
Every zone receives a dynamic quality score from 0 to 10.
The score is not based on a single condition.
The model combines several structural factors.
Fractal Grade
Major fractals receive a stronger contribution than weak fractals.
Rejection Wick
The pivot candle's rejection wick is normalized against ATR.
Larger relative rejection can increase the origin score.
Independent Retests
The model evaluates how many genuinely independent zone tests have occurred.
Importantly, unlimited retests do not continuously improve quality.
Excessive testing can weaken a zone.
Reaction Strength
The strongest measured ATR reaction contributes to zone validation.
Estimated Volume Confirmation
Pivot volume participation and directional estimated activity contribute to the score.
Fractal Cluster
Multiple nearby fractals can increase structural confidence.
Freshness
Newer zones receive a greater freshness contribution.
As a zone ages, this component gradually decreases.
The weight of every major quality component can be adjusted by the user.
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Origin Score and Validation Score
Internally, the quality engine separates zone evaluation into two conceptual stages.
Origin Quality
Evaluates how the zone was created.
This includes:
* Fractal grade.
* Pivot rejection wick.
* Pivot volume participation.
* Fractal clustering.
* Zone freshness.
Validation Quality
Evaluates what price did after the zone was created.
This includes:
* Independent retests.
* Reaction strength.
* Directional estimated activity.
Fresh zones are influenced more heavily by origin quality.
As price begins interacting with a zone, validation behaviour receives greater influence.
This allows the quality score to evolve with market behaviour rather than remaining permanently fixed at zone creation.
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Retest Exhaustion Penalty
A common assumption is that more support or resistance tests always make a zone stronger.
This indicator does not use that assumption.
Repeated interaction may gradually consume resting liquidity around a price area.
After the configured number of retests, the indicator begins applying an excess retest penalty.
The penalty increases with each additional independent test.
As a result, a heavily tested zone may receive a lower quality score even if it has not formally broken.
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Congestion Penalty
Price remaining inside a zone for an extended period may indicate balance, absorption, or structural deterioration.
The indicator tracks consecutive bars interacting with each zone.
After the configured congestion threshold, a progressive quality penalty is applied.
This helps distinguish a clean rejection from prolonged price acceptance inside the area.
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Trend Regime Alignment
An optional EMA-based trend regime is included in the quality model.
Support zones located in an unfavourable bearish regime can receive a counter-trend penalty.
Resistance zones located in an unfavourable bullish regime can also receive a penalty.
The trend filter does not automatically delete zones.
Instead, it modifies their relative quality.
This allows historically valid support and resistance areas to remain visible while acknowledging the current directional regime.
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Market Structure Break Detection
The indicator includes an independent Market Structure Break, or **MSB**, engine.
Confirmed swing highs and swing lows are detected using a configurable pivot length.
A bullish MSB occurs when price closes above the latest eligible structural high with sufficient momentum confirmation.
A bearish MSB occurs when price closes below the latest eligible structural low with sufficient negative momentum confirmation.
Momentum is normalized using a Z-score calculated from recent price changes.
This reduces the number of minor structural crossings classified as meaningful breaks.
Each structural pivot can generate only one MSB event, preventing repeated labels from appearing after the same swing has already been broken.
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Zone-to-Structure Confirmation
Market Structure Breaks can also validate previously tested zones.
When a bullish MSB occurs, the indicator searches for a recently touched support zone.
When a bearish MSB occurs, it searches for a recently touched resistance zone.
The most recent eligible zone can receive structural confirmation.
A configurable quality bonus is then applied.
This creates a basic structural sequence:
Zone interaction → Price reaction → Market Structure Break
The intention is to distinguish zones that merely produced a temporary bounce from zones followed by a measurable structural shift.
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Premium and Discount Trade Location
The indicator uses the latest structural swing high and swing low to estimate the current swing midpoint.
The midpoint represents the 50% equilibrium level of the structural range.
When Premium/Discount grading is enabled:
* Support zones are favoured when positioned in the discount portion of the swing.
* Resistance zones are favoured when positioned in the premium portion of the swing.
This condition contributes to the displayed Trade Grade.
It does not remove zones from the chart.
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Trade Grade System
Selected zones receive a simplified structural trade grade.
Grade A+
Reserved for high-quality zones with strong alignment between:
* Zone quality.
* Trend regime.
* Premium/discount location.
* Low structural damage.
* Limited retest exhaustion.
Grade A
Strong-quality zones with favourable trend alignment and low damage.
Grade B
Moderate-to-strong structural zones that are not classified as weak fractals.
Grade C
Lower-quality but still technically visible zones.
Grade D
Zones with poor overall structural quality.
The Trade Grade is a contextual ranking system.
It is not an automatic buy or sell signal.
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Star-Based Quality Display
To make the detailed labels easier to read, the numerical quality model is represented using stars.
★★★★★ = Quality 8.0 or higher
★★★★ = Quality 6.0 to 7.99
★★★ = Quality 4.0 to 5.99
★★ = Quality 2.0 to 3.99
★ = Quality below 2.0
The stars provide a quick visual representation of the underlying 0–10 quality score.
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Compact Detailed Labels
Selected zones can display compact one-line labels such as:
VERIFIED SUP | B 64% | S 36% | ★★★★ | Tests: 2 | Grade A
The label contains:
* Current zone status.
* Support or resistance classification.
* Estimated buying activity.
* Estimated selling activity.
* Quality stars.
* Independent retest count.
* Structural Trade Grade.
Because displaying a detailed label on every zone can create significant chart congestion, two label modes are available.
Nearest + Strongest
Prioritizes the nearest support, nearest resistance, and the highest-quality remaining zones.
All Visible Zones
Displays labels for every currently visible zone.
The maximum number of detailed labels can also be controlled.
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Nearest Zone Highlighting
The indicator continuously identifies:
* The nearest active support below price.
* The nearest active resistance above price.
These zones can receive stronger border highlighting.
This makes the most immediately relevant structural areas easier to identify without removing historical zones from the chart.
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Structural Equilibrium Zone
The latest confirmed structural swing high and swing low are used to calculate a 50% equilibrium area.
The indicator plots:
* Swing origin.
* Swing destination.
* 50% midpoint.
* Configurable equilibrium zone thickness.
Before price interacts with the equilibrium area, the zone is displayed as the current structural midpoint.
After price touches the area, the indicator changes its state to:
Equilibrium touched · wait for structure
This is intended to remind the trader that equilibrium interaction alone is not necessarily directional confirmation.
Additional market structure may be required.
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Alert Conditions
The indicator provides alert conditions for important zone and market-structure events:
* New fractal support zone.
* New fractal resistance zone.
* Independent zone retest.
* Zone verified by ATR reaction.
* Zone reaching Proven status.
* Zone becoming Damaged.
* Zone break.
* Support/resistance role reversal.
* Bullish Market Structure Break.
* Bearish Market Structure Break.
These alerts can be used to monitor structural changes without continuously watching the chart.
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Suggested Interpretation
This indicator is designed as a market context and structural analysis tool.
A possible analytical workflow is:
1. Identify the nearest active support and resistance.
2. Review the zone's current status.
3. Check estimated buy/sell activity.
4. Evaluate the quality stars.
5. Review the independent test count.
6. Check whether the zone is fresh, validated, damaged, or exhausted.
7. Evaluate trend alignment.
8. Check premium or discount location.
9. Observe whether price produces a structural break after the zone reaction.
10. Use the Trade Grade as an additional contextual ranking.
No single factor should be interpreted independently.
A five-star zone can still break.
A damaged zone can still generate a reaction.
A weak fractal can still become structurally relevant.
The purpose of the model is to organize multiple price-action variables into a consistent framework.
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Important Volume Note
The Buy and Sell percentages displayed by this indicator are estimated directional volume statistics.
They are calculated by allocating candle volume according to the closing position within the candle's high-low range.
They do not represent true bid/ask volume, footprint delta, or exchange-level aggressive buying and selling.
The values should therefore be used as a relative activity estimate only.
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Non-Repainting Considerations
Fractal pivots require confirmation bars.
A zone is created only after the corresponding pivot has been confirmed by the selected fractal length.
Higher-timeframe fractal calculations use `lookahead_off`.
Therefore, historical zones should be interpreted from the point at which the fractal became technically confirmed rather than assuming the pivot was known at the exact swing candle in real time.
Market Structure Break conditions are also evaluated using confirmed price and momentum conditions.
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Final Note
Fractal Support & Resistance Zones is designed for traders who prefer **dynamic structural zones instead of static support and resistance lines**.
The indicator combines fractal structure, volatility-normalized zone construction, independent retests, reaction measurement, damage analysis, estimated directional activity, structural breaks, trend regime, premium/discount location, and role reversal into a unified zone lifecycle model.
It is intended to help answer three practical questions:
Where is the important price structure?
How has price behaved around that structure?
Is the zone gaining validation, remaining fresh, or gradually losing structural quality?
This indicator is intended for technical analysis and research purposes only. It does not constitute financial advice. Traders should independently evaluate market conditions and apply appropriate risk management.
Indicator
Keltner Position Divergence with Reliability ScoringOverview
Keltner-Position Divergence with Reliability Scoring turns where price sits inside its Keltner channel into a bounded oscillator, reads it for divergence against price, and then scores — in real time — whether those divergences have actually been worth acting on for the symbol on your chart, and which direction is carrying the edge. It is a context / research read, not a standalone buy or sell signal.
The idea
A Keltner channel frames price with an ATR envelope around a moving average. Where price sits inside that envelope — pinned to the upper band, mid, or pinned to the lower band — is a bounded read of stretch. When price makes a new high but its Keltner position does not confirm (a lower band-position high), that non-confirmation can precede a turn. This script measures the divergence between price and its Keltner position, then keeps a self-updating track record of whether such divergences pay.
Why these parts are combined (mashup rationale)
Three components form one pipeline, not three separate signals:
A Keltner-position oscillator — price's location within the ATR envelope (0 centre, +1 upper band, −1 lower band), z-scored so the bands and zones mean the same on every asset.
Confirmed-pivot divergence — regular and hidden, between that position line and price, with an optional triple-pivot mode for rarer, stronger disagreements.
A reliability harness — a binomial-proportion confidence test that asks whether each class of divergence has preceded a favourable move (a k×ATR travel over a fixed horizon) more often than a same-zone baseline, reported per direction with a Wilson confidence bound.
Part 1 builds the bounded stretch read, part 2 fires only where price and position disagree, part 3 decides whether that disagreement has actually paid on this instrument. Remove any one and the tool can no longer answer "is this Keltner divergence worth trading here?"
How to use it
Read the verdict panel first. GREEN = these divergences have beaten a same-spot baseline here; RED = they've lost to it (skip, or change the band width / timeframe); AMBER = not statistically established yet; GREY = still gathering data. "Best signal" names the direction with the strongest measured edge; "Reward : risk" is the average best-vs-worst move after a signal, in ATR. A divergence is price making a higher high / lower low while the Keltner-position line does the opposite — marked in the pane and, optionally, on the price chart. It is context, never a standalone trigger.
Settings worth knowing
The regime filter ("Only count signals in regime") restricts the track record to signals that fired in a chosen regime — reverting markets suit divergence, strong trends punish it — so you can measure the edge where it's supposed to work. Costs subtracted (×ATR) raises the bar a signal must clear so the score is net of costs. Band width, MA length and the z-score window adapt the read to any instrument.
Universality & non-repainting
It reads only the chart's own price (configurable source), so it runs on any symbol, any timeframe, with no external data. Pivots confirm a fixed number of bars after the fact, and the track-record harness logs, updates and resolves only on confirmed (closed) bars, so its statistics never inflate or shift intrabar. The live oscillator updates each bar like any oscillator. All figures are in-sample and past-only.
Outputs for other scripts
Generic EXP_* plots — oscillator, signal, probability, edge, edge lower-bound, sample count, regime, band position — are published to the Data Window for use from other scripts via input.source().
Originality
Standard Keltner tools just plot the channel. This one turns band-position into a divergence oscillator and keeps a self-updating, confidence-scored, per-class track record against a same-zone baseline — so you see not just that a divergence printed, but whether and how it has paid on the current market. Clean-room implementation; no third-party Pine code reused.
Concept credits
Keltner channel — Chester Keltner; ATR-band refinement — Linda Raschke
Average True Range — J. Welles Wilder
Binomial score confidence interval — Edwin B. Wilson
Trend-efficiency regime measure — Perry Kaufman
Disclaimer
For research and education only. Not financial advice, not a recommendation, and not a guarantee of future results. All figures are in-sample and past-only. Markets carry risk; do your own research and manage your own risk. Indicator
AlgoZ Pro Price ActionAlgoZ Pro Price Action is a clean price action based forex indicator built to help traders identify potential Buy, Sell, and Exit areas using a combination of market structure, trend filtering, volatility logic, and dynamic trade management.
This indicator is designed around the idea that not every trade needs to have a high win rate to be useful. Instead of only looking for quick scalp targets, AlgoZ Pro Price Action is built to manage trades with a runner-style approach. The goal is to cut weak trades faster, protect trades that start moving in the right direction, and allow stronger moves to continue when momentum is present.
The default settings are best suited for 1-minute EUR/USD forex trading. Other forex pairs and timeframes may work differently and should be tested before use.
The indicator uses market structure breaks to identify possible directional shifts. When price breaks key internal support or resistance levels, the script checks multiple filters before plotting a signal. These filters are designed to reduce low-quality signals during chop, weak momentum, or overextended conditions.
AlgoZ Pro Price Action includes Buy, Sell, and Exit labels directly on the chart. Buy signals are shown in teal, Sell signals are shown in pink, and Exit signals are shown in a neutral color. The bars can also be colored based on the active signal direction so it is easier to visually track the current market bias.
One of the main parts of this indicator is the trend lock system. The trend lock helps prevent the indicator from flipping back and forth too quickly during noisy market conditions. It uses EMA trend structure, slope behavior, and confirmation bars to decide whether the market is currently favoring Buy-side or Sell-side continuation. Countertrend signals must be stronger before they are allowed through, which helps reduce random reversal signals during an active move.
The indicator also includes automatic forex pair adjustment. It detects whether the chart is a JPY pair or a non-JPY forex pair and automatically adjusts pip size calculations. This helps prevent issues where a stop or exit calculation is too tight or too wide because of the symbol’s price format. The script also includes auto volatility tuning, which uses ATR-based logic to scale stop size, runner triggers, trailing stop distance, dead-trade protection, and cooldown behavior based on the current pair’s movement.
Trade management is handled through a dynamic exit engine. Instead of using only fixed take profit levels, the indicator uses runner logic. Once a trade moves far enough in profit, the trade can enter runner mode. From there, the script can move the stop, protect profit, and trail the trade if the move continues. This allows stronger trades to breathe while still giving the indicator a way to exit when momentum fades.
AlgoZ Pro Price Action also includes dead-trade protection. If a trade has been open for a certain number of bars and has failed to make meaningful progress, the script can plot an Exit signal. This is designed to help remove weak trades that are not moving enough to justify staying in them.
The indicator includes several optional filters and controls, including EMA trend filtering, ADX strength filtering, chop filtering, candle body quality filtering, minimum EMA separation, price distance from the slow EMA, overextension protection, post-exit cooldown, and emergency protection logic.
Main features include:
• Buy, Sell, and Exit labels
• Teal and pink AlgoZ Pro visual theme
• Price action and market structure based signals
• Internal support and resistance break logic
• Optional BOS / CHoCH structure markings
• EMA trend filtering
• ADX trend strength filter
• Chop and range filter
• Candle quality filter
• Trend lock system
• Countertrend signal protection
• Auto pip size detection
• Auto adjustment for JPY and non-JPY forex pairs
• ATR-based auto pair tuning
• Dynamic stop logic
• Runner-style trade management
• Breakeven / profit lock logic
• Trailing stop logic for stronger moves
• Dead-trade exit protection
• Optional bar coloring
• Optional entry and stop lines
• Optional status table
Recommended default use:
1-minute EUR/USD forex chart.
Other forex pairs and timeframes may require adjustment depending on spread, volatility, session, and market conditions. Indicator
Fibonacci Levels Engine [StrixEDGE]What It Does
Fibonacci Levels Engine automatically detects the most recent swing high and swing low within a configurable lookback window, draws the standard Fibonacci retracement grid (0 %, 23.6 %, 38.2 %, 50 %, 61.8 %, 78.6 %, 88.6 %, 100 %) plus the 127.2 % and 161.8 % extensions, and projects every level into the future so you can see where price is heading relative to the structure.
What separates this indicator from a plain Fibonacci overlay is the Edge Analysis layer — three original components that work together to tell you how meaningful a given Fibonacci zone is right now, not just where it sits on the chart:
1. Edge Score (0–100) — A composite confluence gauge displayed in the dashboard.
2. Proximity Heatmap — Dynamic line opacity that makes levels glow as price approaches them.
3. ATR Volatility Band — A band around the Golden Zone midpoint that adapts to current volatility.
How It Works
Core: Swing Detection & Fibonacci Grid
The indicator scans the last N bars (default 20, configurable 5–300) to find the highest high and lowest low. It determines trend direction by comparing which extreme occurred first: if the swing low is further back in time than the swing high, the structure is bullish (price moved from low to high); otherwise it is bearish. Fibonacci ratios are then calculated from that range and drawn as horizontal levels from the swing origin to a user-defined projection length (default 30 bars into the future).
Two shaded zones highlight areas of interest:
- Golden Zone (0.618–0.786) — the highest-probability retracement area in classical Fibonacci theory.
- Deep Zone (0.786–0.886) — often the last line of defense before a full retracement.
Both zones, the 50 % midline, and the extension levels can be toggled on or off independently.
Edge Score — Confluence Gauge
The Edge Score combines three independent measurements into a single 0–100 reading:
RSI Momentum Alignment | 0–35 | In a bullish structure, a low RSI (below 35) scores highest because it signals oversold conditions near support. In a bearish structure, a high RSI (above 65) scores highest. Intermediate RSI values receive proportionally lower scores. |
| Proximity to Golden Zone | 0–35 | Measures the absolute distance between the current close and the Golden Zone midpoint as a ratio of the total Fibonacci range. The closer price is to the midpoint, the higher the score. |
| EMA Trend Alignment | 0–30 | Checks the stacking order of the 8, 21, and 55-period EMAs. A fully aligned stack (e.g., EMA 8 > EMA 21 > EMA 55 in a bullish structure) scores 30; partial alignment scores 20; misalignment scores 10. |
The resulting score is classified as STRONG (≥ 75), MODERATE (≥ 50), WEAK (≥ 25), or LOW (< 25) and displayed with a color-coded label in the dashboard. A high Edge Score means RSI, price proximity, and trend direction are all converging at the Fibonacci zone — not just that price touched a line.
Proximity Heatmap
Every Fibonacci level's line opacity is recalculated on each bar based on how far the current close is from that level. When price is near a level, the line becomes more opaque (visually brighter); when price is far away, the line fades. This is computed as a transparency value derived from the ratio of (distance to level) / (total Fibonacci range), scaled between 10 and 75. The effect lets you instantly see which levels are "active" without scanning numbers — the relevant lines stand out on their own.
ATR Volatility Band
A translucent band is drawn around the Golden Zone midpoint, extending ± 0.5 × ATR (default 14-period). This addresses a practical problem: a Fibonacci level is a single price, but real entries need a buffer that accounts for market noise. The band widens in volatile conditions and contracts in quiet ones, giving you a dynamic "fair value area" inside the Golden Zone rather than a fixed line.
Dashboard Panel
A compact table in the top-right corner of the chart displays:
- Trend — Current structural direction (Bull / Bear) with color coding.
- Edge — The composite Edge Score and its label.
- RSI — Current RSI value, color-coded for overbought/oversold extremes.
- G-Zone — Live status showing ✅ with the midpoint price when the close is inside the Golden Zone
or ⏳ Waiting when it is outside.
- ATR — Current Average True Range value.
- Range — The total Fibonacci range (swing high minus swing low).
Dashboard text size is adjustable (Tiny / Small / Normal / Large).
How to Use It
Identify the structure — Add the indicator to your chart. The dashboard immediately tells you whether the current swing structure is bullish or bearish and shows the Edge Score.
Watch the Golden Zone — When price pulls back toward the 0.618–0.786 area, check the dashboard: a high Edge Score (50+) means RSI and trend EMAs are aligned with the retracement, which increases the odds of a bounce. The G-Zone row will switch from ⏳ to ✅ when price enters the zone.
Use the Volatility Band for entries — Rather than placing a limit order on the exact 0.618 or 0.786 line, use the ATR band as your entry zone. It automatically adjusts to current volatility, giving you a wider buffer in choppy markets and a tighter one in clean trends.
Read the heatmap — Glowing lines tell you which levels price is currently interacting with. If a line is bright and the Edge Score is high, that level carries more weight. If the line is faded, price is far away and the level is not in play.
Settings Overview
- Pivot Lookback (5–300, default 20) — Number of bars scanned for swing high/low detection.
- Right Projection (5–200, default 30) — How far levels extend into the future.
- Golden Zone / Deep Zone / 50 % / Extensions — Toggle individual level groups.
- Edge Score Panel — Show or hide the dashboard.
- ATR Volatility Band — Show or hide the dynamic band.
- Proximity Heatmap — Enable or disable the distance-based line opacity effect.
- ATR / RSI Length — Periods for the ATR and RSI calculations used in the Edge Score and Volatility Band.
- Style — Full color customization for bullish/bearish, zones, bands, levels, labels, and line width.
Set alerts — Four built-in alert conditions are included:
- Price enters the Golden Zone (0.618–0.786)
- Price enters the Deep Zone (0.786–0.886)
- Edge Score reaches 75 or above (strong confluence)
- Price crosses the 0 % or 100 % level (breakout / full retracement) Indicator
Adaptive Confluence Engine [StrixEDGE]Adaptive Confluence Engine
🔷 HOW IT WORKS
The indicator evaluates the market through four independent modules. Each module scores the current bar as bullish (+1), bearish (−1), or neutral (0). Volume and volatility modules act as confirmation filters and score +1 (confirmed) or 0 (not confirmed). The individual scores are aggregated into a confluence score ranging from 0 to 4 for each direction.
A signal fires only when:
→ The confluence score crosses above the minimum threshold (transition detection)
→ The previous signal was in the opposite direction (flip-only logic — no consecutive Buy-Buy or Sell-Sell)
→ A cooldown period has elapsed since the last signal
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🔷 THE FOUR MODULES
MODULE 1 — TREND
Uses a Hull Moving Average (HMA) for responsive trend direction and a Weighted Moving Average (WMA) as a trend position filter. Bullish: HMA rising AND price above WMA. Bearish: HMA falling AND price below WMA. The HMA reacts faster than a standard EMA while filtering out noise, and the WMA acts as a structural trend gate.
MODULE 2 — MOMENTUM
Combines RSI zone analysis with MACD histogram acceleration. RSI is evaluated against configurable directional thresholds (default 55/45), not traditional overbought/oversold levels. The MACD histogram must be positive AND increasing for bullish momentum (or negative AND decreasing for bearish). This captures momentum that is actively building, not fading.
MODULE 3 — VOLUME
Volume must exceed its simple moving average by a configurable multiplier AND the short-term volume trend (5-bar SMA) must be rising relative to the medium-term (10-bar SMA). This confirms that participation is genuine and sustained, not a single-bar spike.
MODULE 4 — VOLATILITY FILTER
Calculates the ATR percentile rank over a configurable lookback period. Signals are suppressed when volatility falls below the low percentile (indicating a dead, range-bound market with no follow-through potential) or above the high percentile (indicating chaotic conditions where stops are too wide and reversals too sudden). Only the "sweet spot" of volatility passes.
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🔷 SIGNAL LOGIC
The signal generation uses three layers of filtering:
1. Transition Detection — Signals fire only on the bar where the confluence score first crosses the minimum threshold, not on every bar it remains above it.
2. Flip-Only Mode — After a Buy signal, the next signal must be a Sell (and vice versa). This prevents consecutive same-direction signals and ensures alternating entries.
3. Cooldown — A configurable minimum number of bars must pass between any two signals, preventing rapid-fire entries during volatile transitions.
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🔷 VISUAL FEATURES
→ Buy / Sell labels with exact entry price displayed on the chart
→ Entry price horizontal line (persists for 20 bars after signal)
→ ATR-based dynamic stop-loss levels
→ Hull Moving Average (colored by direction) and WMA overlay
→ Background shading when confluence is active
→ Real-time dashboard showing status of all four modules, ATR reading with percentile, and aggregate confluence score
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🔷 SETTINGS GUIDE
Trend Module
• Fast HMA Length (default 9) — Lower values react faster but produce more noise.
• Slow WMA Length (default 21) — The structural trend gate. Higher values require stronger trends.
Momentum Module
• RSI Bullish/Bearish Threshold (default 55/45) — These are directional filters, not overbought/oversold. Widen to 60/40 for stricter momentum requirements.
• MACD settings (12/26/9) — Standard defaults. Adjust for faster or slower momentum reads.
Volume Module
• Volume SMA Length (default 20) — Lookback for average volume calculation.
• Volume Threshold (default 1.0) — Multiplier applied to the volume SMA. Increase to 1.2–1.5 to require above-average volume.
Volatility Filter
• ATR Length (default 14) — Period for ATR calculation.
• ATR Lookback (default 100) — Number of bars for percentile ranking.
• Low/High Vol. Percentile (default 10/90) — Defines the acceptable volatility range. Narrow to 20/80 for stricter regime filtering.
Signal Control
• Min. Confluence Score (default 3) — Number of modules that must agree. Higher = fewer but higher-quality signals.
• Signal Cooldown (default 5 bars) — Minimum spacing between signals.
• Stop-Loss ATR Multiple (default 1.5) — Distance of the stop-loss from the signal bar.
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🔷 WHAT MAKES THIS ORIGINAL
StrixEDGE does not replicate any single built-in indicator. Its value lies in the confluence scoring architecture: four independent analysis dimensions, each evaluating a different market property (direction, momentum, participation, regime), aggregated through a transition-based scoring system with flip-only signal control. The combination of ATR percentile volatility filtering, MACD histogram acceleration (not just crossover), and alternating-direction signal enforcement creates a framework that is structurally distinct from standard indicator overlays.
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🔷 RECOMMENDED USE
Designed for day trading timeframes (15-minute to 1-hour charts). Works across all markets with volume data: crypto, forex, stocks, indices, commodities. Start with the default settings and adjust based on the instrument's behavior. Use the dashboard to understand why signals fire or don't fire.
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⚠️ DISCLAIMER
This indicator is a technical analysis tool, not financial advice. No indicator guarantees profitable outcomes. Past performance of any signal does not indicate future results. Always apply proper risk management and use this tool as one component of a complete trading plan.
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5 alert conditions available: Buy Signal, Sell Signal, Any Signal, Bull Active, Bear Active. Indicator
Donchian Breakout with ATR Trailing Stop (Trend Following)A simple, transparent trend-following strategy: a classic Donchian
(turtle) channel breakout with a single ATR-based trailing stop.
It was deliberately built to be robust across markets rather than
curve-fit to one — the same code and settings held up on both an
equity index (DAX/GER40, 1h) and Bitcoin (BTCUSD, 4h), and across
trailing multipliers of 2.5–3.5.
HOW IT WORKS
- Entry: goes long when price closes above the highest high of the
last N bars (default 20) while above the 200 EMA trend filter.
Short side is optional and off by default.
- Exit: one ATR-based trailing stop (distance = ATR × multiplier,
default 2.5, fixed at entry). It serves as both the initial
protective stop and the trailing exit — cutting losses and letting
winners run, fully automatically. No separate exit signal needed.
- Risk: size is derived from a fixed % risk per trade against the
stop distance (compounding), with optional risk and leverage caps.
- Optional weekend-flat close for instruments with gap risk.
HOW TO USE
- Best on genuinely trending markets. Try it on your own instrument
and timeframe.
- Tune the risk % to your own drawdown tolerance, and the ATR
multiplier to taste (2.5–3.5 behaved similarly — a good sign the
edge isn't fitted to one value).
- Built-in alerts: the entry alert gives you the trailing-stop
distance to set on your broker; the trailing stop handles the exit.
WHAT TO EXPECT — READ THIS
- It's a breakout system, so win rate is LOW: ~40–45% is normal.
The edge is that winners are bigger than losers, not that you're
right often. Judge it by profit factor and drawdown, not win rate.
- Expect long flat/drawdown periods in choppy, range-bound markets.
It performs when markets trend.
- COSTS DECIDE EVERYTHING. Set your own broker's spread/commission
in the properties before trusting any result. Something that looks
great at zero cost can be break-even or worse once real spreads —
and, for leveraged CFDs, overnight financing — are included.
Results vary a lot by broker and instrument.
NOTES
- No repainting: entries use the prior bar's channel; the trailing
stop only ratchets in the trade's favor.
- Not financial advice. Past backtest results do not guarantee
future performance. Always test on your own market, timeframe and
broker costs, and only risk what you can afford to lose. Strategy
EMA Pulse Momentum System [StrixEDGE]Overview
The EMA Pulse Momentum System is a trend-following indicator that combines a triple exponential moving average (EMA) ribbon with an RSI-based momentum gate to produce high-confidence directional signals on trending instruments. Unlike single-crossover systems that generate excessive noise, this indicator requires simultaneous alignment across three conditions before printing an entry — which significantly reduces false positives in ranging or choppy market environments.
How the signal logic works
The system operates on a three-layer confirmation model:
1. EMA Ribbon Alignment. Three EMAs are computed: a fast EMA (default 8), a mid EMA (default 21), and a slow EMA (default 55). For a valid long setup, all three must be fully stacked in ascending order (EMA 8 above EMA 21, EMA 21 above EMA 55). The reverse applies for short setups. This stacking condition eliminates entries during period of EMA compression or crossover noise, and acts as a structural trend filter. The ribbon also fills with a color-coded cloud between EMA 8 and EMA 21, providing instant visual feedback on trend health.
2. RSI Momentum Gate. Even with a clean ribbon, markets can trend without momentum confirmation — particularly after extended runs. A 14-period RSI is applied as a secondary gate: RSI must be above 52 to confirm bullish momentum, or below 48 to confirm bearish. These thresholds are intentionally set close to the 50 midline rather than the classic 70/30 extremes, because the goal is to confirm that momentum is directionally engaged, not to identify overbought or oversold conditions. The RSI thresholds are fully adjustable in settings.
3. Crossover Trigger. The entry fires only when EMA 8 crosses above EMA 21 (long) or below (short) while both the ribbon stack and RSI gate are simultaneously satisfied. The crossover itself does not generate a signal if either condition fails.
Risk management — ATR-based TP and SL
All risk levels are calculated dynamically using the Average True Range (ATR) over 14 periods, which adapts automatically to current market volatility. This means tighter levels during low-volatility regimes and wider levels during expansion — no manual adjustment required.
— Take Profit: Entry price ± (ATR × 2.0)
— Stop Loss: Entry price ± (ATR × 1.2)
— Default Risk-to-Reward ratio: 1.67 : 1 minimum
TP, SL, and entry lines are drawn forward 30 bars from each signal and labeled with exact price levels. All multipliers are adjustable via the settings panel.
Information table
A real-time dashboard table (position configurable: Bottom Right, Bottom Left, Top Right, Top Left) displays:
— Current trend direction (Bullish / Bearish / Neutral)
— Live RSI value with color coding
— Current ATR value for sizing context
— Last signal direction (Long / Short)
— Calculated Risk-to-Reward ratio
— EMA stack status (aligned or mixed)
Recommended usage
Best timeframes: 4H and Daily. The indicator functions on all timeframes but performs most reliably where EMA 8/21/55 have enough separation to define structure. On 1H or below, the signal frequency increases but false positives also rise — compensate by tightening RSI thresholds in settings.
Compatible with all liquid markets: Forex majors, Crypto (BTC, ETH, majors), Stocks, Indices, and Futures.
Avoid using this indicator as a standalone system during known high-impact news events (FOMC, NFP, CPI) where price gaps can invalidate ATR-based stops instantly.
Alerts
Two built-in alert conditions are included:
— "EMA Pulse — Long Entry": fires when all long conditions are satisfied
— "EMA Pulse — Short Entry": fires when all short conditions are satisfied
Configure via the Alerts panel in PulseWire using "Once per bar close" for cleanest signals.
Settings reference
EMA Fast (default 8) — reduce for more sensitivity, increase to reduce noise
EMA Mid (default 21) — core crossover reference line
EMA Slow (default 55) — structural trend filter
RSI Length (default 14) — period for momentum gate
RSI Bull Threshold (default 52) — minimum RSI for long confirmation
RSI Bear Threshold (default 48) — maximum RSI for short confirmation
ATR Length (default 14) — volatility lookback for TP/SL
TP Multiplier (default 2.0) — take profit distance in ATR units
SL Multiplier (default 1.2) — stop loss distance in ATR units
Limitations
This indicator is a technical analysis tool and does not constitute financial advice. Past signal performance does not guarantee future results. Always use proper position sizing and risk management independent of any indicator output. Indicator
ATR Trailing Stop Strategy with EMA Trend FilterMost stop-loss approaches treat risk as a fixed number, a percentage, a dollar amount, a set number of points. The problem with fixed stops is that they ignore the market's actual behavior at any given moment. A 1% stop that makes sense in a low-volatility environment will get hit constantly in a high-volatility one. A wide fixed stop that survives a volatile period is needlessly large when the market quiets down.
ATR-based trailing stops solve this by scaling the stop distance to what the market is actually doing right now. ATR measures average true range, the average distance price moves per bar over a given period, including gaps. When volatility expands, the stop widens to give the trade room to breathe. When volatility contracts, the stop tightens to protect more of the open profit. The stop follows price as it moves in the trade's direction and never moves backward — only trailing further in the profitable direction or holding its level until price reverses through it and the trade closes.
The EMA filter is added for one specific reason: trailing stop systems are naturally reactive rather than predictive, which means without a trend filter they will generate signals in both directions during choppy, range-bound conditions. The 200 EMA acts as a simple regime gate.
Long trades are only considered when price is above the 200 EMA, broadly in an uptrend. Short trades are only considered when price is below it. This doesn't eliminate losing trades, but it meaningfully reduces the number of counter-trend entries that trail stop systems would otherwise generate in oscillating markets.
How the trailing stop works:
On each bar, the strategy calculates a long stop level at close - (ATR × multiplier) and a short stop level at close + (ATR × multiplier). When price is in an uptrend, the long stop ratchets upward with price but never moves down, it holds its highest reached level until price closes below it, at which point the trend flips to bearish and the stop becomes a downward-trailing short stop. The opposite applies in a downtrend. A trend flip from bearish to bullish generates a long entry signal if price is above the 200 EMA. A flip from bullish to bearish generates a short entry signal if price is below the 200 EMA.
Parameters worth adjusting:
The ATR multiplier controls the sensitivity of the trailing stop. A lower multiplier (1.5x or below) produces a tighter stop that flips trend direction more frequently, useful on lower timeframes where you want faster reaction but will generate more signals. A higher multiplier (2.5x or above) produces a wider stop that flips less often, better suited for higher timeframes where you want to stay in a trend longer and can tolerate larger drawdowns on individual trades before exit. The ATR length controls how many bars the average is computed over. Shorter lengths react faster to recent volatility changes; longer lengths smooth out volatility spikes.
The EMA length can be adjusted depending on your timeframe. 200 periods is the standard for daily charts. On a 4-hour chart, 100 to 150 periods covers a similar calendar range. On a 1-hour chart, 50 to 100 periods is reasonable. The goal is for the EMA to represent the dominant trend, not a short-term moving average that whipsaws with every swing.
What this is not:
This strategy does not predict market direction. It reacts to price behavior and exits when price reverses by a defined volatility-adjusted distance. It will produce losing trades, every trailing stop system does, and sequences of losses in choppy conditions are expected behavior, not a flaw. The expectation is that winning trades capture significantly more than they risk because the stop trails and locks in profit, while losing trades are cut at a defined ATR-based distance.
Evaluate this on your own instruments and timeframes with realistic backtest conditions before drawing any conclusions about expected performance.
Shared for educational purposes. This is not investment advice. Always backtest thoroughly and size positions according to your own risk tolerance. Strategy
Ultimate Matrix HUD v8🎯 Ultimate Matrix HUD — Multi-Symbol Direction + Sector Rotation Dashboard
What it is: An all-in-one heads-up display that answers three questions at a glance — Which way is my stock going? How much conviction is behind it? And is the money flowing into its sector? It scans up to 6 tickers of your choice plus ranks all 11 market sectors, right on your chart. Built for desktop and phone.
📊 What You're Looking At
The HUD has two panels:
1️⃣ Watchlist Panel — your 6 chosen tickers, one row each:
Column Meaning
TICKER The symbol being scanned
BIAS Direction + conviction: 🟢 LONG / 🔴 SHORT (strong, ≥70%), 🟡 WEAK L/S (building, 40–69%), ⚪ NEUTRAL
REGIME Market character: ⚡ DAY (volatile/intraday), 🌊 SWING (calm/trending), ➖ RANGE (chop)
TREND A mini score-history sparkline (▁▂▃▄▅▆▇█) with an arrow — ↗ = conviction strengthening, → = flat/fading
SECTOR The ticker's sector, its live rotation quadrant color, and rank (e.g. Tech 🟢#2)
2️⃣ Sector Rotation Panel — all 11 sectors ranked by relative strength:
Column Meaning
SECTOR Short label (Tech, Fin, Enrgy, Hlth, etc.)
QUADRANT 🟢 Leading, 🟡 Weakening, 🔴 Lagging, 🔵 Improving
STR/MOM The two RRG axes — Strength / Momentum
RANK Position 1–11, with 🥇🥈🥉 for the top three
🧠 How the Bias Score Works
Each ticker is graded 0–100% on four pillars:
Macro Trend (40 pts) — Higher-timeframe EMA structure (fast vs slow) confirms the big-picture direction.
Momentum (30 pts) — RSI in the healthy trend zone (not overextended).
Volume Confirmation (30 pts) — A volume spike in the direction of the move = real participation.
A score of ≥70% lights up 🟢 LONG or 🔴 SHORT. Between 40–69% it's a building 🟡 WEAK signal. Below that, ⚪ NEUTRAL.
🔄 How Sector Rotation Works (RRG Model)
Every sector is measured against a benchmark (default SPY, fully customizable) on two axes:
Strength — is it outperforming the benchmark over the long window?
Momentum — is that outperformance accelerating or fading?
Those two combine into the classic Relative Rotation Graph quadrants:
Quadrant Meaning Play
🟢 Leading Strong and accelerating Prime hunting ground for longs
🟡 Weakening Strong but losing steam Take profits / tighten stops
🔴 Lagging Weak and still falling Avoid longs / short candidates
🔵 Improving Weak but turning up Early rotation — watchlist for entries
Money typically rotates clockwise: Improving → Leading → Weakening → Lagging.
The STR/MOM column shows the two raw axes (e.g. 3.2 / 1.1 = outperforming and accelerating). Classic rotation flow is clockwise: Improving → Leading → Weakening → Lagging.
✅ The A+ Setup — Reading a Row in One Glance
The whole point is confluence. Your strongest trade lines up all three:
text
Copy
🟢 LONG (100%) + ▇█ ↗ + Tech 🟢#1
direction conviction money flow
That's a strong signal, still strengthening, in the #1 leading sector. Conversely, a 🟢 LONG whose sector reads 🔴#10 is a red flag — you'd be fighting the rotation.
⚙️ Setup (One-Time, ~2 Minutes)
Watchlist: Enter your 6 tickers and pick each one's sector from the dropdown. Set crypto/forex to None (their sector tag will show —).
Benchmark: Default SPY. Swap to QQQ (tech-relative), IWM (small-cap), or any symbol.
Mode: Choose Watchlist, Sector Rotation, or Both.
Display: Position, text size, transparency, colors, borders, and toggle any column on/off.
⚠️ Sector assignment is manual — Pine Script can't reliably auto-detect a stock's sector for scanned symbols. It's a 30-second, one-time setup and gives you 100% accurate, self-controlled tagging.
🔔 Discord Alerts (Optional)
The HUD can push formatted alerts to Discord on two events:
Bias Flip — a ticker crosses into 🟢 LONG or 🔴 SHORT
Momentum Strengthening — conviction starts accelerating (↗)
Each alert includes the ticker, bias, regime, trend, and its sector context:
text
Copy
NASDAQ:AAPL
Bias: 🟢 LONG (100%)
Regime: ⚡ DAY
Trend: ▇█ ↗
Sector: Tech 🟢#2
To wire it up:
In Discord: Server Settings → Integrations → Webhooks → New Webhook, copy the URL.
In PulseWire: click the alarm clock ⏰ → Create Alert on this indicator.
Set Condition = Ultimate Matrix HUD, and under Notifications → Webhook URL, paste your Discord webhook.
Set the alert message to {{plot}} or leave default — the indicator sends its own JSON payload.
Alerts fire on bar close for reliability (no repaint-driven false pings).
📱 Mobile Tips
Set Text Size = Tiny/Small and bump Panel Transparency so price stays visible.
Hide columns you don't need (Regime, Trend, or Sector) to slim the panel.
Use Watchlist-only mode on phone for the cleanest view; switch to Both on desktop.
⚠️ Important Notes & Limitations
Live-bar values are provisional. All scores, ranks, and quadrants settle on bar close — treat the forming bar as an estimate.
Not financial advice. This is a decision-support dashboard, not a signal-to-blindly-trade. Always confirm with your own analysis and risk management.
Sector features are equity-focused. Set non-equity symbols (crypto/forex) to None.
Best on liquid symbols with real volume data — thinly traded names may give noisy volume/regime reads.
Timeframe: Works on any, but shines on 15m–4H for swing/intraday. Benchmark & windows are fully tunable in settings. Indicator
Apex Turn v4APEX TURN v4: Kalman Snapback with Fee Gate, Trend Guard and Fair Value Take Profit
Apex Turn is a mean reversion tool that hunts exhausted moves and trades the snap back to fair value. It was designed for crypto perpetual futures but works on any liquid market.
HOW IT WORKS
The script runs an adaptive Kalman filter on log price to estimate fair value, drawn as the orange line. The gap between price and fair value is normalized into a z score over a rolling window. When the z score stretches beyond the entry threshold (2.8 by default) and then hooks back toward the mean while still deeply stretched, the engine looks to trade against the extreme. Longs trigger at washed out lows and shorts trigger at blow off highs.
THREE GATES PROTECT EVERY SIGNAL
Gate one is the chop filter. The Kaufman Efficiency Ratio must confirm a ranging market before any mean reversion entry is allowed.
Gate two is the fee gate. The script projects the reward from current price to fair value, converts your maker and taker fees into R units based on the stop distance, and blocks any signal that would not cover all fees plus a minimum net gain of 0.35R. Blocked signals print as small gray crosses so you can see exactly what fees would have eaten.
Gate three is the strong trend guard. Fair value drift is measured in ATR per bar. When drift is strong, counter trend signals are suppressed until the market prints a release event: a momentum divergence on the z score, volume absorption at the extreme, or both together depending on the mode you select. Trend blocked signals print as orange squares and release events print as aqua diamonds.
EXITS
On entry the script freezes the current fair value as the take profit target, plotted in green, and places the stop in red at 1.5 ATR from entry. The default exit mode assumes you rest a reduce only limit order at the target so your winning exit pays the lower maker fee. Mean touch and overshoot exit modes are also included in the settings. A time stop closes stale positions after 45 bars.
ADAPTIVE ATR
The ATR length is anchored to real time rather than a fixed bar count. It always measures roughly 112 minutes of volatility, so stops, targets and fee math stay consistent whether you chart 30 seconds or 4 hours.
ALERTS
Four webhook ready alerts are included. Entry alerts carry the close price, the stop, the frozen take profit and the projected net R, so an automated system can place the full bracket the moment a position is born. Exit alerts fire for stop, target and time stop events.
SUGGESTED USE
Developed and tested for the 8 minute chart on liquid perpetual pairs. The 30 minute and 1 hour charts also suit the logic well. Timeframes under 5 minutes are not recommended because trading fees consume most of the edge there. Set the maker and taker fee inputs to match your own exchange tier before trusting the fee gate.
Signals are evaluated at bar close and do not repaint. Nothing in this script is financial advice and past behavior in testing does not guarantee future results. Always size positions responsibly and manage your own risk. Indicator
Stop Loss - structuur + ATR-bufferThis indicator helps you avoid getting stopped out by a few pips when price sweeps an obvious level. Instead of placing your stop exactly at the last swing low/high — where liquidity sits — it calculates a stop level with a volatility-based buffer:
Stop = last confirmed swing low/high ± (ATR × multiplier + extra pips)
The chart shows the swing level (dotted line), the buffered stop level for longs and shorts (solid lines), and a label with the exact stop price, buffer size, and distance in pips — use that distance for your position sizing.
Settings:
Swing sensitivity — how many candles left/right must confirm a swing. Higher = only major swings, lower = minor swings closer to price.
ATR period / multiplier — the buffer scales with volatility, so it automatically widens on volatile pairs and higher timeframes.
Extra pips — fixed margin for spread (stops are triggered on bid/ask, not the mid-price your chart shows).
Note: the default settings are a starting point, not a recommendation. Backtest on your own trades: measure how far wicks typically pierce your swing levels relative to ATR, and set the multiplier accordingly. A wider stop means a smaller position at the same risk percentage — never more risk. If the buffered stop breaks your minimum R:R, skip the trade instead of tightening the stop. Indicator
Indicator
ATR Stop Oscillator**What This Indicator Does — In Plain Terms**
This is a trend-following tool that measures how far price has moved away from its own volatility-based "safety line" (the ATR trailing stop), and displays that distance as a bar chart (histogram) below your main price chart — similar in spirit to how RSI or MACD sits below the chart, except this one is tracking distance from a trailing stop instead of momentum.
Here's the core idea in one sentence: **the indicator draws an invisible line that trails behind price and adjusts itself based on volatility (ATR), and the oscillator shows you how many "ATR units" price currently is above or below that line.**
- When the bars are **green and above the zero line**, price is above its trailing stop — meaning the trend is currently bullish/long-favoring.
- When the bars are **red and below the zero line**, price is below its trailing stop — meaning the trend is currently bearish/short-favoring.
- The **farther the bar is from zero**, the more "stretched" price is from its stop, in multiples of ATR (e.g., a reading of 3.0 means price is 3 full ATR units away from the stop line).
- When the bars **flip from red to green (or vice versa)**, that's a trend change — and that's exactly what triggers your alert.
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**Input-by-Input Breakdown**
**Non-Repainting Signals (`ConfirmOnClose`)**
- **What it does:** Controls whether the trend-change alert waits for the current candle to fully close before firing, or fires immediately as soon as the condition is met — even mid-candle.
- **Why it matters:** If left ON (default), you avoid false or "fake" signals that flip back and forth while a candle is still forming — the alert only confirms once the bar is locked in. If turned OFF, you'll get faster signals, but some of them may reverse or disappear before the candle actually closes, since price is still moving. Think of it as a tradeoff between speed and reliability.
- **Practical use:** Leave this ON for swing trading or anything where you can't watch the chart constantly. Turn it OFF only if you're actively watching the screen and want the earliest possible warning, accepting the risk of a signal that later gets invalidated.
**ATR Period (`Atr`)**
- **What it does:** Sets how many bars are used to calculate the Average True Range (ATR) — the volatility measurement this whole indicator is built on. Default is 5.
- **Why it matters:** A shorter period (like 5) makes the ATR — and therefore the trailing stop and oscillator — more reactive to recent price swings, so it adjusts quickly but can feel "twitchy" or noisy. A longer period (like 20 or 50) smooths things out, making the stop line and oscillator move more slowly and steadily, but it'll lag behind sudden volatility changes.
- **Practical use:** Lower values suit fast-moving or short-timeframe trading (scalping, day trading). Higher values suit slower, longer-term trend following where you don't want to be shaken out by every small wiggle.
**Multiplier (`Mult`)**
- **What it does:** Multiplies the ATR value to determine how far away the trailing stop sits from price. Default is 5.
- **Why it matters:** This directly controls how "loose" or "tight" your trailing stop is. A higher multiplier (like 5 or higher) gives price more room to breathe before the trend is considered reversed — fewer false flips, but bigger moves against you before you get an alert. A lower multiplier (like 1 or 2) tightens the stop, giving you faster trend-change signals, but at the cost of more false flips during choppy/sideways price action.
- **Practical use:** This is your single biggest lever for tuning sensitivity. Tighten it if you're getting alerts too late or missing moves; loosen it if you're getting whipsawed by too many false trend-change alerts during sideways markets.
**Above Stop Color (`PosColor`)**
- **What it does:** Sets the color of the oscillator bars when price is above the trailing stop (positive/bullish readings). Default is green.
- **Why it matters:** Purely visual — it does not affect any calculation, alert, or signal logic. It only changes what you see on the chart.
- **Practical use:** Adjust this to match your personal chart theme or color-blind-friendly palette if needed. No functional impact either way.
**Below Stop Color (`NegColor`)**
- **What it does:** Sets the color of the oscillator bars when price is below the trailing stop (negative/bearish readings). Default is red.
- **Why it matters:** Same as above — cosmetic only, no effect on calculations or alerts.
- **Practical use:** Same as above — purely a visual preference setting.
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**What You'll See on the Chart**
- A **histogram (bar chart)** oscillating above and below a dashed gray zero line, in your own separate pane below the price chart.
- **Green bars** = price above the ATR trailing stop (bullish state).
- **Red bars** = price below the ATR trailing stop (bearish state).
- **No labels or markers** on the price chart itself — you removed those. All the trend information lives in this oscillator pane only.
**What Triggers an Alert**
- The alert fires only on an actual **trend flip** — meaning the internal trend direction changed from bullish to bearish or vice versa, not just because the oscillator crossed zero on a fluke tick.
- You'll get one alert message telling you whether it flipped **BULLISH** or **BEARISH**, plus two separate alert conditions in PulseWire's alert menu if you'd rather set them up individually.
If any of this doesn't match how you're actually planning to use it (e.g., you want the color inputs to also influence something functional, or you want a numeric readout of the current ATR-multiple value), tell me and I'll adjust — I didn't want to assume beyond what's in the script. Indicator
Adaptive Supertrend [ForexCracked]🔷 OVERVIEW
Adaptive Supertrend is a trend-following tool that automatically adjusts its sensitivity to current market volatility. A classic Supertrend uses one fixed factor, which whipsaws in choppy conditions and lags in calm ones. This version measures the live volatility regime and scales the ATR factor between a low and a high setting, so the trail tightens when volatility is low and widens when volatility is high.
🔷 CONCEPTS
Supertrend trails price using an ATR band whose width is set by a "factor." Instead of one fixed factor, this script ranks the current ATR against its own recent range (a 0–100 volatility percentile) and maps that rank onto a factor between your Min and Max settings:
• Low volatility → smaller factor → tighter trail, earlier signals. • High volatility → larger factor → wider trail, fewer false flips.
🔷 HOW TO USE
• Stay with the trend while the line sits below price (up) or above price (down). • A flip of the line marks a potential trend change, shown with a Buy or Sell label. • Read the Info panel for the live trend and the current volatility regime (Low / Medium / High). • Combine it with structure or support and resistance for confirmation, and always use a stop. No single indicator is a complete system.
🔷 SETTINGS
• ATR Length — lookback for the ATR band. • Min Factor / Max Factor — the range the factor adapts between. • Volatility Lookback — bars used to rank the current volatility. • Style — Buy/Sell labels, gradient fill, info panel, bar coloring, and colors.
🔷 ALERTS
• Buy (flip up) and Sell (flip down).
Free and open-source. Educational tool, not financial advice. Indicator
Position Size Calculator - Risk Manager, Risk/Reward & L[LunqFX]Risk Manager is an on-chart position size and risk/reward calculator for PulseWire that turns proper risk management into one click. Set your account size and risk per trade %, and it instantly gives you the exact position size (units / lots / contracts / shares), your risk and reward in dollars, the risk/reward ratio, and the breakeven win rate you need to be profitable — all visualized as clean risk and reward zones right on the chart. It works out of the box with an auto ATR setup (Entry / Stop Loss / Take Profit placed for you), or type your own levels. Built in Pine Script v6, it works on forex, crypto, stocks, indices, futures, gold (XAUUSD) and Bitcoin (BTCUSD), on any timeframe — because it sizes risk, not signals. Keywords: position size, position sizing, risk management, risk reward, risk/reward ratio, lot size calculator, money management, stop loss, take profit, R multiple, risk per trade, breakeven win rate, Kelly criterion, day trading, swing trading, scalping.
◆ WHY THIS MATTERS
Most traders blow accounts not because of bad entries, but because of bad position sizing and inconsistent risk. Professionals risk a fixed small % per trade (commonly 0.5–2%) and know their risk/reward before they click buy. This tool enforces that discipline on every trade — no spreadsheets, no external calculators.
◆ WHAT IT DOES
Exact position size from your account balance and risk %, in units, lots, contracts, shares or coins.
Risk and reward in account currency and as a % of account.
Risk/reward ratio with a clean visual meter.
Breakeven win rate — the minimum win rate needed to be profitable at your current R:R (a metric most calculators skip).
Visual risk zone (red) and reward zone (green) drawn between Entry, Stop and Target.
Optional fractional Kelly suggested risk %.
A modern, colour-coded dashboard.
◆ HOW IT WORKS
Auto mode (default): Entry is set at price, Stop at a chosen ATR distance, and Target at your chosen R multiple — a valid setup appears instantly on any instrument.
Manual mode: turn Auto off and enter your own exact Entry / Stop / Target prices in the settings.
Position size = (account balance × risk %) ÷ (distance from entry to stop). This guarantees that if the stop is hit, you lose exactly your chosen risk %.
Reward = position size × distance to target; R:R = reward ÷ risk.
Breakeven win rate = 100 ÷ (1 + R:R) — e.g., at 2R you only need to win >33% of trades to break even.
Lots/contracts = units ÷ your contract size (100000 for a forex standard lot, 1 for stocks/crypto, your multiplier for futures).
◆ HOW TO USE IT
Set Account balance and Risk per trade % once (e.g., 1%).
Pick Auto direction (Long/Short) or switch to manual and place your real Entry/Stop/Target.
Read the Position size — that is exactly how much to trade so your loss at stop = your set risk.
Check the R:R meter and Breakeven — only take trades whose math fits your strategy’s win rate.
Use the red/green zones to see risk and reward visually before entering.
Adjust Contract size to match your instrument (forex lots, futures multiplier, etc.).
◆ SETTINGS
Trade Setup (auto ATR or manual prices, direction, ATR stop, target R), Account & Risk (balance, risk %, contract size, size label), Kelly (optional), Visuals (box length, neon candles), Panel (text size, position, colours).
◆ ALERTS
Price hit Entry · Price hit Stop · Price hit Target.
◆ ORIGINALITY
This is original work. The auto-ATR setup engine, the account-aware sizing, the visual risk/reward zones, the colour-coded dashboard with the R:R meter and the breakeven-win-rate readout are all my own implementation. No third-party code is used.
◆ LIMITATIONS
This is a planning and sizing tool, not a signal generator — it does not tell you when to buy or sell.
Position size assumes your account currency matches the quote currency; for cross-currency pairs or unusual contracts, set Contract size to match your broker’s lot/units.
The auto ATR setup is a starting template — always adjust Stop and Target to real structure.
Results depend on the inputs you provide (balance, risk %, contract size); double-check them for your broker.
◆ NON-REPAINTING
This is a calculator: it draws from your inputs and the current price and never alters historical bars.
Risk Manager is an educational tool, not financial advice. Trading involves risk of loss. Always do your own research and manage risk responsibly. © LunqFX. Indicator
Bollinger Squeeze Breakout + VolumeA volatility contraction often precedes a volatility expansion. When Bollinger Bands narrow significantly, it signals that the market has entered a period of low energy, and low energy rarely lasts. This strategy is built around that principle: it waits for a genuine squeeze, then enters only when price breaks out of the bands with volume confirming that the move has real participation behind it, not just noise.
The logic
A squeeze is identified when the Bollinger Band width (the distance between the upper and lower bands relative to price) falls below its own recent average,meaning volatility is unusually compressed compared to the recent past. Once that condition is met, the strategy watches for price to close outside either band. A long entry triggers when price closes above the upper band during a squeeze, confirmed by volume exceeding its 20-period average. A short entry triggers under the mirrored condition on the lower band. Stops and targets are based on ATR, since the appropriate distance for both should scale with the market's actual movement at the time of entry, not a fixed number.
This approach tends to filter out the false breakouts that occur during already-volatile, choppy conditions, since the entry only fires after a genuine period of compression, which is when breakouts have historically had more follow-through.
Notes on use
The squeeze threshold and lookback length are the two inputs worth tuning per instrument, a 50-period lookback works reasonably well on daily and 4-hour charts, but lower timeframes may benefit from a shorter lookback to react faster to genuine volatility shifts. As with any breakout strategy, backtest across both trending and range-bound periods before drawing conclusions, since this approach is built specifically to perform during regime transitions and may underperform in markets that stay range-bound for extended periods without ever truly compressing.
This is shared for educational and discussion purposes. As always, backtest thoroughly on your own instruments and timeframes, and treat this as a starting framework rather than a finished system. Feedback and variations are welcome in the comments. Strategy
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