Dynamic Take Profit Stop LossDynamic Take Profit Stop Loss
Dynamic Take Profit Stop Loss is designed to move beyond static take profit levels by dynamically adapting profit projections to changing market conditions.
Instead of relying on fixed R:R targets or ATR values alone, this indicator uses an internal Efficiency Engine to measure how effectively price is moving and adjusts projected targets accordingly.
As market efficiency strengthens, targets can expand. As efficiency weakens or deteriorates, targets can tighten to help preserve gains and reduce exposure.
Key Features
• Adaptive TP projections based on market efficiency
• SL-based R:R projection mode
• ATR-based projection mode
• Dynamic TP expansion and contraction logic
• Automatic Optimal TP selection (TP1 / TP2 / TP3)
• Local High / Low stop-loss calculation with adjustable buffers
• Optional manual entry price input
• Multiple TP display combinations:
TP1 Only
TP2 Only
TP3 Only
Optimal Only
TP + Optimal combinations
Multi-TP combinations
Show All
• Long and Short trade projections
• Dynamic TP multiplier engine
• Efficiency state analysis:
Improving
Mixed
Worsening
• Live information table showing:
Efficiency Score
Market State
TP Multiplier
Optimal TP
Long SL Distance
Short SL Distance
• Adjustable colors, table placement, text sizing, labels, and projection length
How It Works
The internal Efficiency Engine analyzes recent price behavior by comparing:
• Net directional movement
• Total movement path traveled
• Historical improvement or deterioration in efficiency
A weighted score is generated and translated into a dynamic TP multiplier.
Typical behavior:
Strong efficiency + improving conditions
→ Expand targets
Neutral conditions
→ Hold targets
Weakening efficiency
→ Tighten targets
Weak and deteriorating conditions
→ Exit or reduce exposure
Example Use
A standard 2R target may become:
Strong conditions:
2R → 3R+
Weak conditions:
2R → 1.2R–1.5R
The goal is to align profit expectations with how price is actually behaving instead of assuming all trades deserve identical targets.
Best Used For
• Trend continuation trading
• Breakout strategies
• Intraday trading
• Swing trading
• Futures
• Forex
• Indices
• Crypto
• Stocks
About TrendGenY Indicators
TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market. Indicator
Indicator
ATR Step Trailing Stop Positioning ToolThis indicator is an ATR-based trailing stop positioning tool.
It is not designed to generate buy or sell signals. Its purpose is to help traders visualize possible trailing stop levels based on volatility.
How it works:
The indicator calculates a stepped trailing level using the ATR distance from the high or low of the last closed candle.
For long-position management, the stop level can be positioned below price using the candle low and an ATR-based distance.
For short-position management, the stop level can be positioned above price using the candle high and an ATR-based distance.
Because the calculation is based on the last closed candle, the level is designed to behave like a step-style trailing reference instead of constantly moving tick by tick.
How this is different from a standard ATR trailing stop:
Many ATR stop indicators use a continuous trailing line or a single shared configuration for both long and short conditions.
This version is focused specifically on stop placement structure. It allows the trader to visualize ATR-based stop levels as stepped references from the most recent completed candle.
Another practical difference is that traders can add two instances of the indicator to the same chart. For example, one instance can be adjusted for long trailing stop management and another for short trailing stop management. By changing the visibility or transparency settings, it is possible to show only the positive or negative side of each instance and compare different ATR lengths or ATR multipliers for long and short positioning.
This makes the tool useful when a trader wants different trailing stop behavior for long and short positions instead of using one universal setting.
Possible use cases:
* Visualizing ATR-based trailing stop zones
* Managing open trades with a volatility-adjusted stop reference
* Comparing different ATR lengths or multipliers
* Separating long-side and short-side stop logic
* Studying how price behaves around volatility-based stop levels
Important limitation:
This indicator does not predict direction. It does not provide entry signals, exit signals, buy signals, or sell signals. The plotted levels are only a technical reference for trailing stop positioning based on ATR and closed candle structure.
Traders should combine this tool with their own entry logic, market structure analysis, risk management rules, and broader trading plan.
Indicator
Vestrix.ai Liquidity AtlasVestrix.ai Liquidity Atlas
Built by Vestrix.ai — Build strategies and indicators with your own words not programming
A multi-layer map of non-obvious liquidity zones — the places where stop orders actually accumulate and where institutional reactions occur. Goes beyond the standard PDH / PWH / ONH levels every chart already shows by combining seven independent zone-detection modules into a single overlay.
What it does
Most "key level" indicators draw the obvious: yesterday's high, the weekly high, the overnight high. These levels matter, but they are public knowledge — every screen on every desk already shows them. The Liquidity Atlas focuses instead on the zones traders rarely chart by hand because each requires its own logic: equal highs, untouched legacy levels, isolated rejection wicks, failed breakouts, large fair-value gaps, untouched time-at-price highs, and round-number magnets.
Each zone type is a separate, individually toggleable module with its own parameters and its own mitigation behaviour. The real edge is confluence — where two or three of these zones overlap, reaction probability is meaningfully higher than at any single level.
How it works
The indicator runs seven detection modules in parallel. Each module identifies its zone type, draws it as a rectangle (so the zone has thickness, not just a line), keeps it on chart while it remains relevant, and removes or fades it once it is mitigated.
1. Equal Highs / Equal Lows (EQH / EQL)
Detects clusters of two or more pivot highs (or lows) that fall within a tight tolerance band. Tolerance is configurable as either an ATR multiplier or a fixed tick distance. These clusters mark resting buy-side / sell-side liquidity — pools of stop orders that have accumulated above the highs or below the lows. When price sweeps through such a zone, the liquidity grab is visible in real time.
2. Naked Levels
Tracks previous-day and previous-week highs / lows that have never been retouched since their formation. The longer a level remains untouched, the stronger its pull, because more time has passed without the resting orders being addressed. Levels expire automatically after a configurable number of days / weeks if they are not retouched.
3. Wick Clusters
Flags individual bars that produced a significant rejection wick — a wick larger than X × ATR, accounting for at least Y % of the bar's total range, and printed at an isolated extreme relative to the previous N bars. These wicks indicate that liquidity was defended at that price without trading occurring there, behaviour consistent with hidden iceberg-style orders.
4. Failed Breakouts
A two-stage detector. First, a pivot must be exceeded by at least X × ATR (the breakout). Then, within a configurable confirmation window, price must close back behind the pivot (the failure). When both conditions are met within the window, the level is marked as a failed-breakout zone — a textbook trap that statistically tends to be retested.
5. Liquidity Voids
Identifies large 3-bar fair-value gaps — only those exceeding a minimum size (X × ATR) qualify. Standard small FVGs are deliberately filtered out to avoid clutter. These voids represent vacuum areas where price moved through quickly without trading, and they tend to be filled later.
6. Naked POC
For each session, the price bucket touched by the most bars is recorded as that session's time-at-price high (a TPO-style approximation of a Point of Control, since Pine Script has no access to true volume profile data). When such a POC is never retested afterwards, it becomes a "naked POC" — typically the strongest single magnet of all the level types listed here. Bucket size is configurable to suit different instruments.
7. Round Quarters
Draws psychological round-number levels around the current price (e.g. every 25 points on ES, every 100 on NQ, every 1000 on BTC). Algorithms and retail stops cluster heavily at these prices. Configurable step size, count, and zone width.
Mitigation modes
Every module that can be mitigated offers three independently configurable mitigation modes:
Delete on Touch — the zone is removed as soon as a wick enters it. Best for keeping the chart clean.
Delete on Close Beyond — the zone is kept until a bar actually closes through it. More conservative, useful for slower timeframes.
Fade on Touch — the zone stays visible but is greyed out. Useful when you want to track historical liquidity events for context.
This per-module flexibility means you can, for example, fade EQH / EQL zones to study past sweeps while having Naked POC zones disappear immediately on first touch.
How to use it
The intended workflow is confluence-based: a single zone alone is rarely enough to trade off. The indicator earns its keep when two or three modules align at the same price.
An EQH that overlaps with a Naked POC above current price is a high-probability magnet — both stop liquidity and an unfilled value area pull.
A Liquidity Void that runs through a Round Quarter suggests the void will likely be filled at minimum to that level.
A Failed Breakout zone right above an EQH marks a textbook stop-run-and-reverse setup.
Recommended starting configuration: enable EQH / EQL, Naked Levels, and Liquidity Voids first. Add Wick Clusters and Naked POC once the chart is comfortable. Failed Breakouts and Round Quarters are best switched on situationally.
Settings
Global: label visibility, label size, max age (bars), fade transparency
Per module: enable toggle, detection thresholds, color, max-zones cap, mitigation mode
Instrument tuning: ATR-based thresholds keep the indicator self-scaling across timeframes; bucket size for Naked POC and step size for Round Quarters need to be adjusted for the instrument (ES default = 0.5 / 25; suggestions in the tooltips for MNQ, BTC, EUR/USD)
Alerts
EQH Sweep / EQL Sweep
Naked Level Hit
Failed Breakout Formed
Liquidity Void Filled
All alerts fire on confirmed bar close (no repainting).
Notes
Pivot-based modules (EQH / EQL, Failed Breakouts) confirm pivots with a Right Bars delay (default 5). New zones therefore appear with that delay relative to the pivot bar — this is normal and avoids repainting.
Wick Clusters, Voids, and Naked POC are computed in real time on the developing bar; only after bar close is the zone state final.
Naked POC is approximated through bar-count buckets, not true tick volume. It correlates strongly with a real Volume Profile POC on most instruments, but is not identical.
Concepts such as Equal Highs / Equal Lows, Liquidity Sweeps, Fair Value Gaps, and Naked POC are public Smart Money / ICT and Market Profile concepts. The contribution of this indicator is the unified detection, mitigation handling, and confluence visualization across all seven modules in a single tool.
Disclaimer
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not predict future price movement. Past performance does not guarantee future results. Trade at your own risk.
Built by Vestrix.ai — Build strategies and indicators with your own words not programming
© 2026 Vestrix.ai. Released for educational use on PulseWire. Indicator
ATR Precision Stop Loss | BocchiTheTrader ATR Precision Stop Loss | BocchiTheTrader
Precision Risk Management for Professional Traders
The BocchiTheTrader | ATR Precision SL is a high-performance volatility tracking tool designed to protect capital and optimize exit points. Unlike basic stop-loss scripts that only look at closing prices, this indicator utilizes the extremes of market action to provide a "safety buffer" that respects price volatility.
How It Works & The Methodology
The indicator calculates market noise using the Average True Range (ATR). To provide the most "optimal" stop-loss level, it anchors its calculations to the High and Low of each candle rather than the Close. This ensures that the stop loss stays outside the reach of common price spikes and liquidity hunts (wicks).
The Formula
The mathematical model behind the indicator is as follows:
For Long Positions: Long_SL = Low - (ATR_{length} \times Multiplier)$
For Short Positions: Short_SL = High + (ATR_{length} \times Multiplier)$
By subtracting the volatility from the Low (in longs) and adding it to the High (in shorts), the script creates a dynamic zone that adapts to the current market expansion or contraction.
Key Features
Wick-Aware Protection: Uses High/Low anchors to prevent premature stop-outs caused by market noise.
Triple Direction Logic: Switch between Long, Short, or Long + Short modes to visualize both sides of the market volatility simultaneously.
ATR Precision Stop Loss | BocchiTheTrader
Profesyonel Yatırımcılar İçin Hassas Risk Yönetimi
BocchiTheTrader | ATR Precision SL, sermayeyi korumak ve çıkış noktalarını optimize etmek için tasarlanmış yüksek performanslı bir volatilite takip aracıdır. Sadece kapanış fiyatlarına odaklanan standart stop-loss araçlarının aksine, bu gösterge piyasa hareketlerinin uç noktalarını kullanarak fiyat oynaklığına saygı duyan bir "güvenlik tamponu" oluşturur.
Nasıl Çalışır ve Metodoloji
Gösterge, piyasa gürültüsünü Average True Range (ATR) kullanarak hesaplar. "En uygun" stop-loss seviyesini belirlemek için hesaplamalarını Kapanış (Close) yerine her mumun En Yüksek (High) ve En Düşük (Low) değerlerine sabitler. Bu, stop seviyenizin fiyat iğnelerinden (fitillerden) ve likidite avlarından korunmasını sağlar.
Kullanılan Formül
Göstergenin arkasındaki matematiksel model şöyledir:
Long Pozisyonlar İçin: Long_SL = Low - (ATR_{length} \times Multiplier)$
Short Pozisyonlar İçin: Short_SL = High + (ATR_{length} \times Multiplier)$
Volatiliteyi Düşük seviyeden çıkararak (long) veya Yüksek seviyeye ekleyerek (short), script piyasadaki genişleme veya daralmaya uyum sağlayan dinamik bir koruma bölgesi yaratır.
Öne Çıkan Özellikler
İğne Korumalı Yapı: Piyasa gürültüsünün neden olduğu erken stop-out durumlarını önlemek için High/Low referanslarını kullanır.
Üç Yönlü Mantık: Piyasa volatilitesinin her iki tarafını aynı anda görmek için Long, Short veya Long + Short modları arasında geçiş yapın.
BocchiTheTrader
Indicator
ATR Stop Loss levelsATR Dynamic Stop Loss
BASED ON ATR Srop-Loss by Captaincoinflip INDICATOR
This indicator plots two reference points per bar — one above and one below price — representing the zone where normal market noise can reach based on current volatility. Its purpose is to help you place stops that won't get hunted by natural price movement, only by moves with real directional conviction. Hope you find it helpful.
- How it works
The calculation is based on the ATR (Average True Range), developed by J. Welles Wilder in 1978. ATR measures the real average range of each bar including session gaps, making it a more accurate volatility reference than a simple high-low range.
The formula is straightforward:
Upper point = base price + (ATR × multiplier)
Lower point = base price − (ATR × multiplier)
The higher the volatility, the wider the points. The calmer the market, the tighter they sit.
- Settings
ATR Period — number of bars averaged to calculate the ATR. 14 is Wilder's standard. Lower values react faster to recent volatility changes; higher values give a more stable reading.
Multiplier — how many ATRs of distance are projected from the base price. A value of 1.5 means the points sit 1.5 times the ATR away from price. Adjust to your style: scalping (1.0–1.5), intraday (1.5–2.0), swing (2.0–3.0).
Base price source — the reference point from which the SL levels are measured:
High/Low: upper point from the bar's high, lower from the low. The most natural option for intraday trading.
HL2: average of high and low — more centered and stable.
HLC3: typical price (high + low + close) / 3. A classic technical analysis reference.
OHLC4: average of all four bar prices. The smoothest option.
Close: both points from the closing price.
Open: both points from the opening price. Useful for gap context.
ATR Smoothing — how the True Range is averaged:
No smoothing: raw True Range of each bar. Most reactive.
RMA (Wilder): the original method. Long memory, stable. Recommended.
SMA: simple average. Equal weight to all bars.
EMA: exponential. More reactive to recent volatility.
WMA: linearly weighted. More weight to recent bars.
Visible bars — how many recent bars display the points. Default is 5. The rest of the chart stays clean.
Color and size — full visual customization of the dots: Tiny, Small, Normal or Large.
- Technical note
When hiding and re-showing the indicator, or when changing timeframes, the points recalculate correctly. This is standard PulseWire behavior when the chart reloads.
This script is open source and released to the public domain — use it, modify it, build on it, do whatever you want with it. And remember: you are the only one responsible for the results you get.
LOVE AND PROFITS
Indicator
Indicator
Trade Levels - Entry, Trims & StopA clean, fully configurable trade planning overlay for scalpers, day traders, and swing traders on any instrument — Futures, Forex, Crypto, Equities, and Indices. Set your entry price, define your risk parameters, and instantly visualize every critical level on the chart before and during a trade.
🔑 Key Features
Entry Line — White reference line at your exact entry price, labeled with direction (Long/Short)
Stop Loss — Plots your maximum loss level at a defined distance from entry
Take Profit — Plots your full target with a live R:R ratio calculated automatically
3 Independent Trim Levels — Each trim can be placed on the Profit Side OR Loss Side of your entry, allowing you to plan early exits in either direction (e.g., trimming before max loss)
Zone Fills — Translucent color fills between Entry → Stop and Entry → Target for instant visual clarity
Info Table — A real-time summary table (top-right corner) showing all prices and distances at a glance
Full Alert Integration — alertcondition() support for all 5 levels: Stop, Take Profit, Trim 1, Trim 2, and Trim 3
⚙️ Settings Overview
Group What You Set
📍 Entry Settings Entry price, Long/Short direction, Points or Ticks mode
🔴 Stop Loss Points/Tick Distance from entry, line color
🟢 Take Profit Points/Tick Distance from entry, line color
✂️ Trim 1 / 2 / 3 Enable toggle, Profit or Loss side, Points/Tick distance, trim size %, color
🔔 Alerts Toggle alerts on/off per level
⚙️ Display Labels, R:R visibility, zone fills, table, line style, label size
📐 Points vs. Ticks
Switch the Unit Mode under Entry Settings between:
Points — Native price units (e.g., 10 = 10 full points on NQ)
Ticks — Minimum tick increments (e.g., on NQ: 1 point = 4 ticks, so 40 ticks = 10 points)
The indicator uses syminfo.mintick to auto-convert, so it works accurately on any symbol.
✂️ Loss-Side Trims Explained
Most indicators only allow trims in the profit direction. This tool lets you place a trim on the Loss Side of your entry — meaning you scale out of part of your position before reaching your full stop. This is a common risk management technique used by professional futures and forex traders to reduce average loss on losing trades.
To use it: enable a Trim, set Side → Loss Side, and dial in the distance. The label will display as "LOSS TRIM" to visually distinguish it from profit-side trims.
🔔 Setting Up Alerts
Click the Alerts bell icon on the PulseWire toolbar
Click "+" → Create Alert
Under Condition, select "Trade Levels — Entry, Trims & Stop"
Choose a level: Stop Loss Hit, Take Profit Hit, Trim 1, Trim 2, or Trim 3
Set your notification method (popup, sound, mobile push, or webhook)
Click Create
📌 Tips for Scalpers
Set your entry price before you take the trade so the levels are pre-drawn when your order fills
Use Loss-Side Trim 1 to take off 25–33% of your position if price moves against you early — this lowers your average loss significantly over time
The live R:R ratio on the TP label updates instantly as you adjust your distances — use it to ensure you never take a sub-1:1 trade
Works on all timeframes and all instruments — ES, NQ, MNQ, EUR/USD, BTC, SPY, anything Indicator
Indicator
Profit Loss Display UniversalUniversal Profit Loss Display
is a chart overlay for quickly visualizing projected reward, risk, and reference levels from the current price.
The script lets you select:
- one main profit target
- one main stop loss level
- four additional reference sources
The sources can be any element of another indicator displayed on the current chart (using the PulseWire's source parameter.
**How it works**
The indicator compares each selected level to the current price and estimates the move using your configured position base. This makes it useful for planning trades around fixed targets, stops, VWAPs, pivots, bands, or any custom level source.
For each active level, it displays the move from current price as price points, dollar value, or both. The profit target and stop loss also get dedicated value labels, and the script calculates a live reward-to-risk ratio in `R` format.
**Key features**
- Configurable `input.source` levels for profit target, stop loss, and 4 extra references
- Display mode selector: `Price Points`, `$ Value`, or `Both`
- Automatic leverage detection by asset class, with manual override
- Dollar projection based on chunk size and leverage
- Clean on-chart labels that only appear when a source is different from `close`
- Reward-to-risk ratio displayed directly on the chart
- Bottom-right info table showing active chunk size and leverage
**Best use cases**
- Pre-trade reward/risk planning
- Visual target and stop mapping
- Comparing multiple nearby levels from current price
- Quick dollar impact estimation without manual calculation
**Notes**
This is a planning helper, not a strategy or execution tool. Dollar projections do not include fees, spread, slippage, funding, or partial exits.
---------------------------------------------------------------------------------------------------------------------
**How To Use**
1. Add the indicator to your chart.
2. Set your main `Profit Target` and `Stop Loss Limit`.
These are the two primary levels used for the projected profit/loss labels and the `R` ratio.
3. Optionally assign `Extra Source 1-4`.
Use these for additional levels you want to monitor, such as VWAPs, pivots, moving averages, bands, or custom plotted values.
4. Choose your `Display Mode`.
- `Both` shows price distance and dollar value
- `Price Points` shows only the raw move from current price
- `$ Value` shows only the projected dollar impact
5. Set your `Chunk Size`.
This is the base position size used in the calculation.
6. Set `Leverage X`.
- Leave it at `0` to use automatic leverage by asset class
Automatic Leverage Rules
If Leverage X is set to 0, the script uses these defaults:
crypto: 5
forex: 30
futures: 10
cfd: 10
stock: 5
index: 20
fund: 5
anything else: 10
A small table in the bottom-right corner shows the active chunk size and leverage.
- Enter a manual value if you want to override auto leverage
7. Turn `Show Labels?` on or off as needed.
**What You Will See**
- A source label for the profit target
- A source label for the stop loss
- Source labels for up to 4 extra levels
- A dedicated profit value label
- A dedicated stop-loss value label
- An `R:x.x` reward-to-risk ratio label
- A bottom-right table showing current chunk size and leverage
**Important Behavior**
- Labels only appear when the selected source is different from `close`
- `close` acts as the default “off” state for any source input
- Labels are updated on the latest bar only
- The ratio is based on distance from current price to target and stop
**Practical Example**
If you are planning a trade:
- set `Profit Target` to your take-profit level
- set `Stop Loss Limit` to your invalidation level
- set `Chunk Size` to your standard trade allocation
- choose a leverage value or leave auto mode enabled
- use the extra sources for nearby confluence or reaction zones
This gives you an immediate view of:
- potential upside
- potential downside
- reward-to-risk ratio
- relative distance to other important levels
**Notes**
This script is a visual planning tool. It does not place trades and does not account for fees, slippage, spread, funding, or scaling in and out.
Indicator
Viprasol Sniper Confluence Entry/Exit## Overview
The Sniper Confluence Entry/Exit indicator builds on Sniper Entry/Exit with SL&TP by , which provided EMA crossover signals with ATR-based stop-loss/take-profit levels, a VWAP overlay, RSI/MACD display, and retest candle highlighting. This version adds a 7-factor confluence scoring engine that gates every signal — crossovers only fire when multiple technical factors align, dramatically reducing false entries. Built for swing and intraday traders who want clean, high-probability setups with automatic risk management.
## How It Works
**Signal Generation (from original):**
Entries are triggered by a Fast EMA / Slow EMA crossover. When the fast EMA crosses above the slow EMA, a long signal is generated; when it crosses below, a short signal is generated. The original script displayed these crossovers alongside supporting indicators (VWAP, RSI, MACD) but did not require them to agree before firing a signal.
**7-Factor Confluence Engine (new):**
This version adds a scoring layer that sits between the crossover and the signal output. Each bar, the indicator evaluates 7 independent factors and assigns 1 point for each that confirms the trade direction. A signal only fires when the total score meets your minimum threshold (default: 4/7).
Scoring logic (pseudocode):
```
confluenceScore = 0
// Factor 1: Price vs VWAP
if (long and close > vwap) or (short and close < vwap) → score += 1
// Factor 2: RSI direction
if (long and rsi > 50) or (short and rsi < 50) → score += 1
// Factor 3: MACD trend
if (long and macdLine > signalLine) or (short and macdLine < signalLine) → score += 1
// Factor 4: EMA alignment
if (long and fastEMA > slowEMA) or (short and fastEMA < slowEMA) → score += 1
// Factor 5: ADX + directional index
if adx > 25 and ((long and diPlus > diMinus) or (short and diMinus > diPlus)) → score += 1
// Factor 6: Volume confirmation
if volume > volumeSMA and ((long and close > open) or (short and close < open)) → score += 1
// Factor 7: Secondary timeframe RSI
if (long and secondaryRSI > 50) or (short and secondaryRSI < 50) → score += 1
signal fires only if confluenceScore >= minimumScore
```
A score of 5/7 or higher typically indicates a strong, well-supported setup. The configurable minimum lets you tune signal frequency vs. quality.
**Bar-Close Confirmation (new):**
When enabled, signals are delayed until the bar closes, preventing premature entries from intra-bar wicks that reverse before close.
**ATR-Based Stop-Loss & Take-Profit (from original, extended):**
The original calculated a single stop-loss and take-profit from ATR. This version extends that to:
- **Stop-Loss** — ATR multiplied by your chosen risk factor (same core logic as original)
- **Take-Profit Levels (1-5)** — Configurable number of TP levels at 1R, 2R, 3R, 4R, 5R distances (new — original had fixed levels)
- **Trailing Stop to Breakeven** — Optionally moves SL to entry price once TP1 is hit (new)
**Retest Candle Highlighting (from original):**
Bars that pull back to the fast EMA after a signal are highlighted in orange, marking potential add-on or re-entry opportunities.
**Secondary Timeframe RSI (from original, extended):**
The original included a secondary timeframe RSI hardcoded to the 5-minute chart. This version makes the timeframe user-configurable.
## Key Features
**From the Original:**
- EMA crossover signal generation (fast/slow EMA)
- ATR-based stop-loss and take-profit calculation
- VWAP overlay with directional coloring
- RSI and MACD display
- Retest candle highlighting at EMA pullbacks
- Secondary timeframe RSI confirmation
**Added in This Version:**
- 7-factor confluence scoring engine with configurable minimum score threshold
- Bar-close confirmation filter to prevent wick-driven false entries
- Trailing stop-loss to breakeven after TP1 is hit
- Configurable number of take-profit levels (1-5, was fixed)
- Configurable secondary timeframe (was hardcoded to 5m)
- SL label showing breakeven status when trailing is active
- 5 alert conditions with dynamic messages
- Full dashboard showing all 7 confluence factors, position status, and targets hit
## How to Use
**Setup:**
1. Add to any chart (works on all markets and timeframes)
2. Set your preferred EMA periods (default: 9/21)
3. Adjust the minimum confluence score — higher = fewer signals, better quality
4. Set your ATR multiplier for stop-loss width
**Reading Signals:**
- **LONG label** appears below bar when bullish crossover fires with sufficient confluence
- **SHORT label** appears above bar when bearish crossover fires with sufficient confluence
- Blue line = Entry, Red line = Stop-Loss, Green dashed lines = Take-Profit levels
- Lines turn turquoise when their target is hit
- Orange candles indicate price retesting the fast EMA (potential add-on opportunity)
**Dashboard:**
The side panel shows real-time scores for all 7 factors plus current position info, targets hit, and SL status.
**Recommended Starting Settings:**
- Scalping (1m-5m): Fast EMA 5, Slow EMA 13, Min Score 5, ATR Mult 1.0
- Intraday (15m-1H): Fast EMA 9, Slow EMA 21, Min Score 4, ATR Mult 1.5
- Swing (4H-1D): Fast EMA 9, Slow EMA 21, Min Score 4, ATR Mult 2.0
## Settings
**Signal Settings:** Fast/Slow EMA periods and bar-close confirmation toggle.
**Confluence Filter:** Enable/disable the score filter and set the minimum threshold.
**Risk Management:** ATR period, SL multiplier, number of TP levels, and breakeven trailing toggle.
**Secondary Timeframe:** Choose which timeframe provides the secondary RSI confirmation.
**Dashboard:** Position, font size, and show/hide toggle.
**Visuals:** Toggle EMA ribbon, VWAP, TP/SL lines, retest highlighting, label sizes and offsets.
## Alerts
1. **Long Entry Signal** — Fires when a bullish confluence entry triggers
2. **Short Entry Signal** — Fires when a bearish confluence entry triggers
3. **Any Entry Signal** — Fires on either long or short entry
4. **Strong Bull Bias** — Fires when bull confluence score crosses above 70%
5. **Strong Bear Bias** — Fires when bear confluence score crosses above 70%
All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages.
## Limitations & Disclaimer
- EMA crossover signals are inherently lagging — they work best in trending markets and may produce whipsaws during consolidation
- The confluence score uses current-bar values; in fast markets, conditions can change quickly
- The secondary timeframe RSI uses `request.security()` which may repaint on the current bar of that timeframe
- TP/SL levels are visual guides — they do not execute trades automatically
- Past performance of any signal system does not guarantee future results
- This indicator is for educational and analytical purposes only — it is not financial advice. Always use proper risk management and do your own analysis before trading.
## Credits & Attribution
This indicator is derived from **"Sniper Entry/Exit with SL&TP (open-source, PulseWire). The following components originate from that script:
- EMA crossover signal generation logic
- ATR-based stop-loss and take-profit calculation
- VWAP overlay
- RSI and MACD display
- Retest candle highlighting concept
- Secondary timeframe RSI (originally hardcoded to 5m)
Viprasol additions: 7-factor confluence scoring engine, bar-close confirmation, trailing stop to breakeven, configurable TP levels (1-5), configurable secondary timeframe, breakeven status labels, alert conditions, and dashboard.
Indicator
Indicator
Ultimate Risk Manager: Fixed Dollar Risk & Position CalculatorAre you tired of manually calculating your position size to risk exactly $10, $50, or $100 per trade?
The Ultimate Risk Manager is a professional-grade position sizing and risk calculation tool designed for day traders and scalpers. Instead of guessing your position size and hoping your stop loss doesn't wipe out your account, this tool allows you to set a Fixed Dollar Risk. It tells you exactly how much margin to use so that if your Stop Loss is hit, you lose exactly the amount you planned for.
Perfect for futures and leverage traders on any exchange (MEXC, Binance, Bybit, etc.).
✨ Key Features:
🎯 Strict Risk Management: Input your desired risk (e.g., $2.00) and the calculator outputs the exact "Total Position" and "Margin" required based on your Stop Loss distance.
🤖 Auto Long/Short Detection: No need to toggle directions. The script automatically detects if it's a LONG or SHORT based on where you place your Stop Loss relative to your Entry.
💸 Built-in Fee Calculator: Input your exchange's round-trip fee percentage. The table calculates your exact fee cost and provides your Net Profit (after fees) at your Take Profit target.
🧹 Ultra-Minimalist Chart Visuals: Say goodbye to indicator lines cutting through your price action. This script uses short, clean floating markers for Entry, SL, and TP that sit neatly in the empty space on the right side of your chart.
🎨 Customizable UI: Includes a Light/Dark theme toggle, adjustable table positioning, and sliders to push the floating chart markers exactly where you want them.
🛠️ How to Use:
Open the indicator Settings (Double-click the table).
Under "Trade Setup," enter your Fixed Risk ($), Leverage, and Exchange Fee (%).
Under "Price Levels," use the Price Picker tool (the target icon) to click your desired Entry, Stop Loss, and Take Profit levels directly on the chart.
Look at the dashboard table! Copy the highlighted Yellow Margin Number and type it directly into your exchange's order box.
Protect your capital and trade like a professional by keeping your risk mathematically consistent on every single trade. Indicator
Indicator
Stop Loss Cascades (Breakouts) [Kioseff Trading]Hello friends and traders!
🔹Introduction
This indicator " Stop-Loss Clustering (Breakouts) " attempts to model trader stop-loss placement logic and identify price areas where a large amount of stop losses might cluster.
The idea is, if stop losses are indeed highly concentrated in a specific area, price extending through that area may produce high-velocity breakout conditions via forced order flow .
I'll cover this topic more thoroughly throughout the description. For now, just know that stop loss location & size data is not publicly available . Any model of their concentration locations is highly assumptive.
However, there's some reasonable academic research we can reference to make worthwhile estimates.
Academic references supporting the concepts discussed are listed at the end of this description. To maintain readability, I won't cite individual statements inline.
🔹The Premise
🔸Liquidity, Behavior, and Stop Cascades
Markets operate through a continuous limit order book , where two fundamental order types interact:
Limit orders , which provide liquidity by resting in the book
Market orders , which consume liquidity by exhausting those resting orders
This mechanical interaction drives price movement - incoming order flow consuming available liquidity .
This begs the question.. Does liquidity distribute evenly across the LOB?
If it did : If liquidity were evenly distributed, price impact could be modeled as a relatively smooth function of incoming order flow.
But it doesn’t : Liquidity is unevenly distributed. Academic research supports this claim and, regardless, this is an intuitive conclusion most traders arrive at.
Liquidity forms localized concentrations and gaps.
Liquidity concentrations are commonly referenced as: liquidity shelves , liquidity clusters , liquidity zones .
Liquidity gaps are commonly referenced as: liquidity vacuums , thin book zones .
As a result, identical order flow can produce very different price movements depending on the state of the order book.
Let’s consider an example..
Assume price is trading at $99.
The price levels $100, $101, $102 have resting sell limit order concentrations of 100.
This is where you come in.
You execute a market order buy for 300 size.
Your order first exhausts all sell-side resting order concentrations at the $100 level.
You still have 200 size that needs to be filled, and the ask price has moved from $100 to $101.
Your order will now sequentially exhaust available liquidity at the $101 level, the ask price will increase to $102, and your final 100 size will exhaust the $102 level.
To keep the example simple, we’ll say that your order moved price from $99 to $102, and now the ask price is $103.
But, you still want to accumulate.
The nearest sell-side levels in the LOB are $103, $104, $105.
The $103 level has a sell limit order concentration of 500.
$104 and $105 both have concentrations of 50.
You execute your same market order buy for 300 size.
This time, price doesn’t move.. At all..
Instead, you consumed 300 of the 500 size at $103 with your order, and the level remains a barrier.
Your order was absorbed by available liquidity.
This example demonstrates how price movement depends on available liquidity , not simply the size of incoming orders.
In the first scenario, liquidity was thin and the order walked through multiple price levels, causing price to move quickly.
In the second scenario, a large concentration of resting liquidity absorbed the same order, preventing price from advancing.
🔸Liquidity Does Not Distribute Evenly
Alright, we understand that liquidity doesn’t distribute evenly. And we understand that high concentrations of liquidity can act as price barriers (liquidity shelves) while sparse liquidity can permit rapid price movement - we saw this in our example above.
There’s an important question we should ask next before we move on..
If liquidity distributes unevenly, then where does it tend to cluster? And where does it tend to thin?
Of course, knowing these tendencies provides multi-purpose advantages.
If price approaches a liquidity vacuum - a local block of the order book with thin resting liquidity - rapid price movement can occur without requiring unusually strong aggressive order flow.
If price approaches a liquidity shelf - a local block of the order book with thick resting liquidity - price can stall or contract even if the same level of aggressive order flow that previously moved price continues.
With this in mind, order flow intensity alone does not determine price movement . The distribution of liquidity across surrounding price levels plays a similarly important role.
So, is there any evidence of where liquidity tends to concentrate ?
🔸Empirical Observations
Empirical research on limit order books shows that liquidity does not distribute smoothly across the LOB . Instead, depth tends to concentrate at specific price levels, producing irregular profiles with localized peaks in resting liquidity.
These concentrations arise because order placement is not random . Traders frequently anchor decisions to widely observed reference prices such as:
• prior highs
• prior lows
• round numbers
• widely referenced price extremes
Because many traders monitor the same price history, order placement decisions often reference similar price levels.
This concept is simpler than it sounds.
Let’s use market structure traders for example.
Market structure traders frequently reference prior swing highs and swing lows when making decisions about entries, exits, and risk.
A trader entering a long position may place their stop-loss below a recent swing low , reasoning that if price breaks that level, the trade idea is invalidated.
A trader entering a short position may place their stop-loss above a recent swing high for the same reason.
Timeframe price aggregation may differ; however, we’re all looking at roughly the same recent highs and lows when evaluating a chart (structure).
When many traders collectively reference the same prices, orders may accumulate near those levels. This produces localized depth concentrations, which traders refer to as liquidity shelves .
Liquidity shelves act as temporary barriers where the book contains disproportionately large resting liquidity compared to surrounding prices.
🔸Research documenting liquidity clustering includes :
Bourghelle & Cellier (2007) , who find that limit orders cluster at prominent price levels (especially round numbers), creating localized depth concentrations that can act as price barriers.
Kavajecz & Odders-White (2004) , who demonstrate that prices identified as support or resistance coincide with higher resting limit order depth
These findings suggest that many commonly observed price levels may correspond to real concentrations of liquidity rather than being purely visual artifacts on a chart.
Kavajecz & Odders-White (2004) is an important observation for support/resistance traders!
Kavajecz & Odders-White (2004) show that levels traders commonly call support and resistance often align with areas where more limit orders are resting in the order book.
This suggests a plausible mechanical pathway through which support and resistance levels can emerge!
🔸Liquidity Shelves and Price Interaction
When liquidity clusters around a price level, the resulting liquidity shelf can influence how price behaves when it approaches that area.
Price interaction with these shelves is state-dependent :
If incoming order flow is absorbed, price may stall or reverse
If resting liquidity is consumed, price may transition rapidly to the next liquidity zone
Once a shelf is depleted, follow-through can accelerate due to thinner liquidity beyond the level
Research on order book dynamics supports this mechanical view of price movement.
For example:
Jean-Philippe Bouchaud, J. Doyne Farmer, and Fabrizio Lillo (2009) demonstrate that price impact emerges from the interaction between order flow and finite liquidity
From this perspective, price does not move simply because a level is crossed.
Price moves because available liquidity at that level has been consumed.
🔸Latent Liquidity and Stop Clustering
In addition to visible liquidity from limit orders, markets also contain latent liquidity .
This is where ”Stop-Loss Clustering (Breakouts)” becomes important - we’re almost done!
Latent liquidity consists of conditional orders such as stop-losses that are not visible in the order book until triggered .
Although these orders aren’t public information, empirical studies show that stop orders tend to cluster near widely referenced price levels .
Research by Carol Osler (2001, 2002) using institutional FX order data finds that stop-loss orders frequently accumulate just beyond salient price levels such as prior highs and lows.
When these stops trigger, they convert into aggressive market orders and can generate bursts of directional order flow that may accelerate price movement.
🔸Stop-Loss Cascades
Stop losses add another layer of latent order flow that isn’t visible in the order book until it triggers.
If enough of them sit around the same price area.. Think “hidden pressure” waiting to activate. Nothing happens while price trades nearby, but once that level is traded at, those stops convert into market orders and immediately begin consuming available liquidity.
This matters because stop placement is unlikely to be random in most instances. Traders frequently anchor stops to widely observed prices such as prior highs, prior lows, or other prominent structure points, or use volatility methods such as ATR, etc.
So when price approaches one of these areas, two things can happen.
If the resting liquidity there is large enough, the incoming orders can be absorbed and price may stall or reject.
But if that liquidity gets consumed, the stops sitting just beyond the level begin triggering. Those triggered stops add additional market orders, which consume more liquidity and can push price further into the next layer of stops.
This creates a cascading effect:
price reaches a stop cluster
stops trigger and convert into market orders
liquidity gets consumed faster
price moves further, triggering more stops
When this chain reaction starts, price can transition very quickly from a slow battle near the level to rapid expansion through it.
This is one of the mechanical reasons why some reference-point breaks barely move, while others accelerate rapidly.
🔹How It Works
Now that we understand the why - let’s discuss how the indicator works.
🔸Absorbtion Extremes
The image above shows the absorption extremes model.
In this model, the indicator treats recent & relevant swing points as plausible stop clustering candidates.
You can find similar swing point identification mechanics in other indicators.
However, this model assigns subsequent volume to the swing level after its formation.
There are limitations and assumptions - let’s go over them.
The images above explain how the indicator determines the intensity of a possible stop-cluster around a swing level.
There are limitations and assumptions
1: The indicator assigns all “directional volume” to a swing level after it’s formed and while it remains the closest active swing point to the current price.
“Buy volume” is assigned to the closest active swing low.
“Sell volume” is assigned to the closest active swing high.
I say “buy volume” and “sell volume” because there’s assumptions on what constitutes the relevant classification.
The indicators follow the traditional two-region tick model for classifying buy volume and sell volume.
Higher close = “buy volume” proxy
Lower close = “sell volume” proxy
Depending on the granularity you select (the indicator is capable of using tick data), this model can be more/less accurate.
However, even with tick-level data and bid/ask quotes, trade direction must still be inferred using classification rules. Because some trades occur inside the spread or involve hidden liquidity, perfect classification is not possible without exchange aggressor flags.
For assumptions..
The model assigns ALL classified volume to the swing level.
In reality, traders use a wide range of risk management methods, and not every position will place a stop loss directly at the most recent swing point. ATR-based stops, percentage-based stops, and other volatility-based methods are also common.
Because the true distribution of stop placement is unobservable, the model assumes that positions entered are structurally invalidated at the closest swing level based on their classified direction.
As a result, the values displayed by the indicator should be interpreted as relative proxies for potential stop concentration, rather than precise estimates of actual stop-loss size.
The displayed magnitudes are intentionally exaggerated and comparative, designed to highlight where stop pressure may accumulate relative to other levels.
The images above show how to interpret the indicator when using this model.
The image above shows the triggered stop-cluster graph.
Each point corresponds to a triggered stop-cluster - assuming it exists.
The greater the size attached to that cluster, the further distant the data point is placed.
Far away from zero line = large size.
Close to zero line = low size.
Radiating/glowing points indicate a potentially large cluster trigger.
🔸 Volatility-At-Entry Model (Time Scaled)
The Volatility-At-Entry model uses ATR scaled by various timeframes to predict plausible stop loss placements.
For this model, the indicator uses the same tick classification model to assign volume directionally.
Volume is then dispersed across six common timeframes (1m, 5m, 15m, 30m, 1h, 4h) and 3 common ATR multiples for risk management (1ATR, 1.5ATR, 2ATR).
This model assumes traders are entering positions across various timeframes and are scaling risk congruent with those timeframes.
For instance,
A trader using the 1-minute chart for opportunity is more likely to use a stop loss closer to entry than a trader using the 4-hour chart for opportunity.
If this assumption is reasonable to you - great, we can move forward!
The image above visualizes the model.
Purple-shaded regions indicate a price area with less opportunity for stop loss clustering. Either transaction intensity around eligible price areas was low, or position accumulation wasn’t given sufficient time.
Pink-shaded regions indicate a price area with greater opportunity for stop loss clustering. Volume was significant around these regions or price has traded within proximity for extended periods.
This model naturally shows more future opportunity than historical outcomes. You can select to show historical outcomes in the settings, this image shows examples of such outcomes.
The image above shows the triggered stop loss graph in effect for this model. Stop clustered are distributed across more price areas with this model - from low intensity to high intensity. Therefore, a cluster is almost always “triggering” to some degree.
A classification model for what’s typical and what’s unusual is used for the graph in this case. Radiating points always indicate large stop clusters triggered. Anything within the green/pink line indicates usual size.
Typical Move
The image above explains the nearest cluster information table.
The size and location of the nearest buy-stop cluster and sell-stop cluster are recorded.
Additionally, the indicator identifies whether clusters of similar size were triggered in the past, and how price behaved following those events.
Since all models here are highly assumptive, and similar sized clusters might only have one or two relative neighbors, treat these measurements as a description of history rather than a prediction.
The model takes the logarithm of the current stop-volume (buy or sell) to normalize its scale and compare it with a historical dataset of previously observed stop-volume sizes that have also been log-scaled.
It then identifies historical observations whose sizes are most similar to the current value, either by selecting all observations within a tolerance range around that value (where the range is based on the typical spacing between historical observations), or by selecting the single closest match.
Finally, the model retrieves the historical price moves associated with those matched observations, producing a sample of “typical moves” that occurred when stop-volume magnitude was similar to the current situation.
Ratio Meter
The stop-cluster ratio meter shows the current sum of active and triggered all buy-side clusters and sell-side clusters.
This meter is useful for quick scanning across assets to see if active or recently triggered stop clusters are lopsided.
Additional Features
The single most important setting outside model selection is the lower timeframe used to retrieve volume from.
This setting is set to 1-minute data by default because it works with paid and free plans. If you want better granularity, I strongly suggest changing this setting to either 1-second or 1-tick. This will sacrifice the number of identifiable cluster locations, because better granularity data has less programmatically retrievable values.
🔹Closing Remarks
Stop-loss clustering is an appealing concept because it offers a plausible explanation for why some breakouts accelerate so quickly while others stall. When a large number of conditional orders sit near the same price, a breakout through that area can trigger a cascade of market orders that rapidly consume liquidity and push price toward the next available zone.
However, it’s important to remember that the models used in this indicator are approximations, not direct measurements. True stop-loss locations and sizes are not publicly observable, and many traders use different risk management techniques that cannot be perfectly inferred from chart data alone. The goal of this indicator is therefore not to identify exact stop locations, but to highlight price areas where stop pressure may plausibly accumulate relative to surrounding levels.
Like any model based on behavioral assumptions and historical observations, results should be interpreted probabilistically. Large clusters do not guarantee breakouts, and small clusters do not guarantee quiet price behavior. Instead, the indicator is best used as a tool for context and situational awareness.
References
General Microstructure and Price Formation
Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205–258.
O'Hara, M. (1995). Market Microstructure Theory. Blackwell.
Biais, B., Glosten, L., & Spatt, C. (2005). Market microstructure: A survey of microfoundations, empirical results, and policy implications. Journal of Financial Markets, 8(2), 217–264.
Limit Order Books and Liquidity as Resting Orders
Gould, M. D., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., & Howison, S. D. (2013). Limit order books. Quantitative Finance, 13(11), 1709–1742.
Rosu, I. (2009). A dynamic model of the limit order book. Review of Financial Studies, 22(11), 4601–4641.
Biais, B., Hillion, P., & Spatt, C. (1995). An empirical analysis of the limit order book and the order flow in the Paris Bourse. Journal of Finance, 50(5), 1655–1689.
Liquidity Clustering and Depth Concentration
Kavajecz, K. A., & Odders-White, E. R. (2004). Technical analysis and liquidity provision. Review of Financial Studies, 17(4), 1043–1071.
Bourghelle, D., & Cellier, A. (2007). Limit order clustering and price barriers on financial markets. Working paper / SSRN.
Order Flow and Price Impact
Bouchaud, J.-P., Farmer, J. D., & Lillo, F. (2009). How markets slowly digest changes in supply and demand. In Handbook of Financial Markets: Dynamics and Evolution.
Stop Orders and Price Cascades
Osler, C. L. (2003). Currency orders and exchange-rate dynamics: Explaining the success of technical analysis. Journal of Finance, 58(5), 1791–1819.
Osler, C. L. (2005). Stop-loss orders and price cascades in currency markets. Journal of International Money and Finance, 24(2), 219–241.
Liquidity Provision and Execution
Ho, T., & Stoll, H. (1981). Optimal dealer pricing under transactions and return uncertainty. Journal of Financial Economics, 9(1), 47–73.
Almgren, R., & Chriss, N. (2000). Optimal execution of portfolio transactions. Journal of Risk, 3(2), 5–39.
Menkveld, A. J. (2013). High frequency trading and the new market makers. Journal of Financial Markets, 16(4), 712–740.
Behavioral Anchoring and Attention
Kahneman, D., & Tversky, A. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.
Barber, B. M., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–818.
George, T. J., & Hwang, C. Y. (2004). The 52-week high and momentum investing. Journal of Finance, 59(5), 2145–2176.
Mizrach, B., & Weerts, S. (2007). Highs and lows: A behavioral and technical analysis. SSRN working paper.
Indicator
Squeeze Breakout Pro [WillyAlgoTrader]Squeeze Breakout Pro (SBP) is an overlay indicator that detects volatility compression zones where Bollinger Bands contract inside a Keltner Channel, waits for a confirmed directional breakout with volume and momentum validation, and then maps a complete trade framework: structural stop loss at the opposite side of the range, and three take-profit targets calculated as R-multiples of the range width using Fibonacci-based extensions. A built-in dashboard tracks TP hit rates across the chart's history so you can evaluate the setup's statistical behavior on any instrument and timeframe.
The concept of a "squeeze" — Bollinger Bands narrowing inside Keltner Channels — has been around for decades. What SBP adds is a structured decision pipeline: it doesn't just flag the squeeze, it qualifies it with ADX to confirm a genuine range-bound condition, requires volume confirmation on the breakout bar, defines exact entry/SL/TP levels, and tracks how often each target is reached — turning a raw volatility observation into a repeatable trade setup with measurable outcomes.
🔍 WHAT MAKES IT ORIGINAL
1. Squeeze qualification via ADX filter. A standard BB-inside-KC squeeze fires frequently and includes many false compressions during trending pullbacks. SBP adds an ADX filter that requires the Average Directional Index to be below a user-defined threshold (default 21) during the squeeze phase. This ensures the consolidation is a genuine range-bound condition — not a brief pause in a strong trend that would produce a low-quality breakout. The combination of BB/KC compression + low ADX produces significantly fewer but higher-quality squeeze zones.
2. Minimum squeeze duration requirement. Not every momentary BB/KC overlap deserves attention. SBP requires a configurable minimum number of consecutive squeeze bars (default 5) before the range is considered valid. Short, fleeting compressions are ignored. This filters out the noise that plagues most squeeze indicators on lower timeframes.
3. Structural stop loss with ATR padding. Instead of a fixed-pip or fixed-percentage stop, SBP places the stop loss at the opposite boundary of the detected consolidation range — the natural structural level — plus a configurable ATR-based padding (default 20% of ATR). For a bullish breakout, SL sits below the range low; for bearish, above the range high. This gives the stop a structural reason to exist, tied to the actual price action that formed the squeeze.
4. R-multiple targets using Fibonacci extensions. Take-profit levels are calculated as multiples of the range width projected from the entry price:
— TP1 at 0.618× range width (conservative, first scale-out)
— TP2 at 1.0× range width (full range projection)
— TP3 at 1.618× range width (golden ratio extension)
All three multipliers are fully configurable. The range width serves as the natural "R" unit because it represents the energy stored during compression — wider ranges store more energy and project further.
5. Built-in TP/SL hit-rate tracking. The dashboard counts every breakout signal on the visible chart and tracks how many times each TP level was reached versus how many times the SL was hit. This gives you an instant statistical profile of the setup's behavior on the current instrument and timeframe — no external backtesting tool required. The hit rates update in real time as new signals form.
6. Overlap prevention. An optional toggle (on by default) prevents a new squeeze zone from forming if it would overlap with the previous one, avoiding redundant signals in choppy markets where squeezes cluster.
⚙️ HOW IT WORKS
Step 1 — Squeeze detection:
On each bar, the script calculates Bollinger Bands (SMA ± StdDev × multiplier) and a Keltner Channel (SMA ± ATR × multiplier) using the same base length. When both BB boundaries sit inside both KC boundaries (upper BB < upper KC AND lower BB > lower KC), the market is in a squeeze. If the ADX filter is enabled, the squeeze is only valid when ADX is also below the threshold — confirming low directional momentum.
Step 2 — Range construction:
While the squeeze is active, the script tracks the highest high and lowest low across all squeeze bars, building a dynamic range box. When the squeeze condition ends (BB expands beyond KC or ADX rises), the range is locked — but only if the squeeze lasted at least the minimum required bars. The locked range defines the consolidation zone for breakout detection.
Step 3 — Breakout confirmation:
After the range is locked, the script watches for a confirmed bar close above the range high (bullish breakout) or below the range low (bearish breakout). If volume confirmation is enabled, the breakout bar must also have volume exceeding the SMA(volume) × the configured multiplier. All breakout signals require barstate.isconfirmed — they trigger only on bar close and do not repaint.
Step 4 — Trade framework:
On breakout, the script calculates and plots:
— Entry: the breakout bar's close price
— SL: opposite range boundary ± ATR padding
— TP1 / TP2 / TP3: entry ± (range width × configured multipliers)
These levels extend forward as horizontal lines with a risk/reward fill zone until a target or stop is hit. When TP3 or SL is reached (bar close), the trade is closed and levels stop extending.
Step 5 — Hit tracking:
Each TP level and the SL are monitored on every confirmed bar after entry. When price touches (via high/low) a TP level, it is marked as hit. If SL is hit before TP3, the trade closes at a loss. The dashboard aggregates these outcomes across all signals on the chart.
Volume on forex:
On instruments without volume data (common on forex), the volume filter is automatically bypassed — so the indicator works seamlessly across asset classes without manual adjustment.
📖 HOW TO USE
Reading the chart:
— Yellow-tinted boxes = detected squeeze zones (consolidation ranges)
— "Long" label below bar = confirmed bullish breakout
— "Short" label above bar = confirmed bearish breakout
— Green line = entry level
— Red dashed line = stop loss
— Dotted/solid green lines = TP1 / TP2 / TP3
— Green-tinted fill between entry and TP3 = reward zone
— Red-tinted fill between entry and SL = risk zone
Suggested workflow:
— Wait for a squeeze zone to form and lock (box appears, disappears when squeeze ends)
— Dashboard shows "Pending" when a valid range is ready for breakout
— On breakout, evaluate the signal: check TP/SL levels, assess the range width, and decide position size based on the distance to SL
— Use TP1 for conservative partial exit, TP2 for second scale-out, TP3 for runner
— Review the TP1/TP3 hit rates in the dashboard to calibrate your expectations for the current instrument
Timeframe guidance:
— Scalping (1–5min): Squeeze Length 10–15, Min Squeeze Bars 3–5, ADX threshold 25
— Intraday (15min–1H): Squeeze Length 15–20, Min Squeeze Bars 5–8, default settings
— Swing (4H–Daily): Squeeze Length 20–30, Min Squeeze Bars 8–15, ADX threshold 18–20
— The longer the squeeze and higher the timeframe, the more energy stored → larger projected targets
⚙️ KEY SETTINGS REFERENCE
— Squeeze Length (default 13): shared period for BB and KC — higher = detects longer consolidations
— BB Multiplier (default 2.0): Bollinger Bands standard deviation multiplier
— KC Multiplier (default 1.2): Keltner Channel ATR multiplier — the gap between BB and KC multipliers controls how easily a squeeze triggers
— ADX Filter (default On): require low directional movement during squeeze
— ADX Threshold (default 21): maximum ADX value for valid squeeze — lower = stricter
— Volume Confirmation (default On): require volume spike on breakout bar (auto-disabled on forex)
— Volume Spike Mult (default 1.3): breakout volume must exceed SMA × this multiplier
— Min Squeeze Bars (default 5): minimum consecutive squeeze bars for valid range
— Prevent Overlap (default On): no new squeeze zone if it overlaps the previous one
— TP1 / TP2 / TP3 (default 0.618 / 1.0 / 1.618): take-profit as R-multiples of range width
— SL Padding (default 0.2): extra padding beyond range boundary, as fraction of ATR
📊 Dashboard
The info panel (adjustable to any chart corner) displays:
— Current squeeze status (Active with bar count, or None)
— Trade direction (Long / Short / —)
— Signal state (Active / Pending / Wait)
— ADX value with color coding (green if below threshold, red if above)
— Total breakout count (Long / Short split)
— TP1 and TP3 hit rates as percentages across all signals on chart
— Current timeframe and indicator version
⚠️ IMPORTANT NOTES
— This indicator does not repaint. All breakout signals require bar-close confirmation (barstate.isconfirmed).
— The TP hit rates shown in the dashboard are historical statistics on the current chart , not predictions. They depend entirely on the instrument, timeframe, and date range visible. A 70% TP1 hit rate on past data does not guarantee 70% going forward.
— SBP provides a structured trade framework (entry/SL/TP), but it is not a complete trading system . Position sizing, risk management, and trade selection remain the trader's responsibility.
— Not every squeeze produces a clean breakout. Some ranges resolve with choppy, directionless price action. The ADX filter and volume confirmation reduce this, but cannot eliminate it entirely.
— The indicator works across all asset classes — stocks, crypto, forex, futures, commodities. Volume features auto-adapt to instruments without volume data. Indicator
Supreme BUY/SELL Signal Indicator By Chaitu50cSupreme Buy/Sell Signals Indicator By Chaitu50c
Overview
The Supreme Buy/Sell Signals Indicator is a structured price-action based breakout system designed to detect strong consecutive momentum moves within the same trading session. The indicator focuses on clean candle structure and breakout confirmation rather than oscillators or lagging calculations. It is built to identify continuation strength after two consecutive candles in the same direction, followed by a confirmed breakout beyond the previous candle’s extreme. The logic is simple, rule-based, and non-repainting because signals are confirmed only after candle close.
This tool is ideal for intraday traders who prefer structure-based entries and want clear, controlled signal behavior without noise.
Core Signal Logic
The indicator detects bullish signals when two consecutive bullish candles form and the current candle closes above the previous candle’s high. This confirms bullish continuation strength and prints a Buy signal.
Similarly, a bearish signal is generated when two consecutive bearish candles form and the current candle closes below the previous candle’s low, confirming downside continuation strength.
Signals are only generated after the candle closes, ensuring no repainting during live bars. Additionally, signals are restricted within the same trading day. At the start of a new session, the internal state resets to prevent carryover signals from the previous day.
Single Signal Mode
The “Single Signal Until Opposite Forms” option controls whether the indicator allows consecutive signals in the same direction. When enabled, once a Buy signal is generated, no additional Buy signals will appear until a valid Sell signal forms. This prevents repetitive entries in strong trends and keeps the chart clean.
When disabled, the indicator will generate every valid breakout signal, even if multiple signals occur in the same direction.
This setting is particularly useful for traders who prefer one clean setup per move rather than multiple re-entries.
Body Breakout Unlock Mode
The “Require Body Breakout to Unlock” option introduces a structured reset mechanism. After a signal is generated, the direction becomes temporarily locked. A new signal of the same direction cannot form unless price proves invalidation by closing its body beyond the extreme of the previous signal candle.
For example, after a Buy signal, if a bearish candle closes below the low of the signal candle, the system unlocks. Only then can another Buy signal form later. This ensures that repeated signals only occur after meaningful structural invalidation.
If disabled, signals can occur again without requiring this structural reset.
This mode is designed to improve discipline and reduce signal clustering.
Stop Loss Line Logic
When enabled, the indicator automatically draws a dynamic Stop Loss line at the extreme of the signal candle. For Buy signals, the stop loss is placed at the signal candle’s low. For Sell signals, it is placed at the signal candle’s high.
The Stop Loss line extends forward bar by bar until a candle closes beyond it. Once price closes past the stop level, the line stops extending, indicating that the stop has been hit.
Users can customize the stop loss line’s color, style (solid, dashed, dotted), and width. This feature helps traders visually track trade risk and understand when a setup becomes invalid.
Display Options
The “Show Buy/Sell Signals” toggle controls whether Buy and Sell labels appear on the chart. These labels can be customized in color for both bullish and bearish signals, as well as text color for better chart visibility.
The “Show Bar Colors” option highlights the signal candle itself using user-defined bullish or bearish paint colors. This visually emphasizes the exact breakout candle responsible for the signal.
Both display options are fully optional and allow traders to keep the chart either minimal or visually descriptive.
Session Behavior
The indicator resets automatically at the beginning of each new trading day. This ensures that signals, locks, and stop loss tracking do not carry over into the next session. The logic is designed specifically for intraday use where daily session separation is important.
Alerts
Built-in alert conditions are included for both Buy and Sell signals. Traders can create PulseWire alerts directly from the indicator to receive notifications whenever a valid consecutive breakout occurs.
Practical Use Cases
This indicator is particularly effective in trending intraday environments where momentum continuation setups perform well. It can be used for breakout trading, pullback continuation entries, and structured momentum strategies.
Traders may combine it with higher timeframe bias, support and resistance levels, or volume confirmation to filter trades further. It works especially well when aligned with broader market structure.
Testing & Optimization
This indicator has been personally tested on the NIFTY chart using the 5-minute timeframe. The logic performed effectively in capturing structured intraday continuation moves within active market sessions. However, traders are encouraged to test and optimize it according to their own strategy and risk management rules before live deployment. Indicator
Gold/Spread AlgoXAUUSD 1-Minute RSI Scalping Strategy – Mean-Reversion with Fixed Exits
This open-source strategy is a high-frequency, counter-trend scalping system designed specifically for **XAUUSD (Gold)** on the 1-minute timeframe.
Core Logic
The strategy uses classic RSI(14) to identify short-term overextension:
- Long entry when RSI drops below oversold (default 30) → expects quick snap-back
- Short entry when RSI rises above overbought (default 70) → expects quick pullback
Entries are taken only when flat (no pyramiding). Exits are fixed in pips and set immediately on entry:
- Take Profit: +10 pips (0.10 in XAUUSD price)
- Stop Loss: –5 pips (0.05 in XAUUSD price)
- Built-in Risk:Reward = 1:2
This fixed structure gives the system positive mathematical expectancy even with moderate win rates (≈55–65% before costs), provided gold continues to exhibit frequent mean-reversion behavior on 1-minute charts.
Why this simple approach?
Gold is one of the most volatile and momentum-driven instruments on very short timeframes. Pure RSI extremes often capture quick exhaustion moves after news spikes, order flow imbalances, or session transitions — especially during London/NY overlap. Fixed pip targets prevent over-optimization and mimic real broker execution more closely than dynamic trailing or percentage-based exits.
Important Realism & Backtesting Notes
To produce non-misleading results, use these settings when publishing/testing:
- Initial Capital: $10,000 – $30,000 (realistic retail size)
- Position sizing: fixed 0.10–0.30 lots or 1–3% equity per trade
- Commission: 5–8 USD round-turn per lot (typical ECN/raw-spread)
- Slippage: 3–8 ticks (≈0.03–0.08 in price) — gold spreads widen during volatility
- Minimum dataset: 12–36 months of 1-minute data (aim for 800–2000+ trades)
- Risk per trade: usually 0.5–1.5% with defaults — never exceeds sustainable levels
Results vary significantly:
- Strongest in ranging or mildly trending sessions
- Weaker during strong directional moves or major news (NFP, FOMC, geopolitics)
- Expect drawdowns during trending regimes — this is NOT a trend-following system
Visual & Dashboard Elements
- RSI line + fill (blue/orange background) + overbought/oversold zones
- BUY/SELL triangles at entry points
- Professional top-right dashboard showing:
- Net Profit & Loss
- Total Trades / Win Rate / Profit Factor
- Winning / Losing Trades
- Current RSI value
- Position status (LONG / SHORT / FLAT)
- TP:SL ratio
Alerts
- 🟢 LONG ENTRY – RSI oversold
- 🔴 SHORT ENTRY – RSI overbought
How to Use
1. Apply to XAUUSD 1-minute chart only
2. Use realistic commission/slippage in Strategy Tester
3. Trade primarily during London & New York sessions for best liquidity
4. Avoid major news events or widen stops manually
5. Forward-test on demo for 2–3 months minimum
6. Always size conservatively — never risk more than 1–2% per trade
Publish Recommendation
- Use a clean chart: only this strategy, no extra indicators/drawings
- Show realistic tester results with commission/slippage applied
- Screenshot during active session with visible entry signals + dashboard
Educational tool — open-source for learning and testing. Not financial advice. Gold 1-minute trading is extremely volatile and carries high risk of loss. Trade responsibly. Strategy
Indicator
Risk & Lot Calculator PanelFXMANS Risk & Lot Panel
Smart Risk Management Tool for PulseWire
- Overview
FXMANS Risk & Lot Panel is a lightweight and professional risk management tool designed to help traders calculate position size (lot) and take-profit levels directly on the chart, without cluttering the screen.
The panel is displayed as a minimal table in the top-right corner of the chart and automatically adapts to the currently opened symbol.
This tool focuses on clarity, precision, and usability, making it suitable for scalpers, day traders, and swing traders.
- Key Features
Automatic Direction Detection
The script can automatically determine BUY or SELL direction based on:
Entry Price
Stop Loss Price
Logic:
Stop Loss below Entry → BUY
Stop Loss above Entry → SELL
Manual override is available if auto direction is disabled.
Risk-Based Lot Size Calculation
Calculates position size based on:
User-defined risk amount in USD
Distance between Entry and Stop Loss
Symbol-specific tick size and point value
Ensures consistent risk management across all markets.
Automatic Take Profit (RR Based)
Take Profit is calculated automatically using a predefined Risk / Reward (RR) ratio.
Supports both BUY and SELL scenarios.
- Symbol-Aware Calculation
Uses PulseWire’s built-in symbol properties:
syminfo.mintick
syminfo.pointvalue
Works correctly on:
Forex
Indices
Metals
Crypto
- Minimal & Non-Intrusive UI
Small, fixed panel located at the top-right corner
Designed to avoid covering price action
Clean FXMANS-style color palette
- Safe Panel Size Control
Panel size can be adjusted from settings:
Small
Medium
Large
Size changes are handled without modifying layout geometry, preventing UI bugs.
- How It Works
Enter your Entry Price and Stop Loss Price
Define your Risk Amount ($)
Set your desired Risk / Reward ratio
The script automatically calculates:
Trade Direction (BUY / SELL)
Lot Size
Take Profit Level
All results are displayed instantly in the panel
- Example Use Case
Risk: $100
Entry: 1.0850
Stop Loss: 1.0800
RR: 2.0
- The panel will automatically display:
Direction: BUY
Lot Size adjusted to risk exactly $100
Take Profit at 2R
- Important Notes
Entry and Stop Loss prices must be valid (greater than zero).
The tool does not place trades automatically.
Calculations are for position sizing only and may vary slightly depending on broker specifications.
- Disclaimer
This script is intended for educational and analytical purposes only.
Trading involves risk, and users are responsible for their own trading decisions.
- Ideal For
Traders who follow strict risk management rules
Forex, crypto, and index traders
Scalpers and intraday traders
Anyone who wants clean and fast position sizing on PulseWire Indicator
Dynamic Strike Selection Indicator [ARJO]Dynamic Strike Selection Indicator
OVERVIEW
The Dynamic Strike Selection Indicator is a visual analysis tool designed for traders observing NSE (National Stock Exchange of India) instruments, particularly those interested in options. It displays a trend-based oscillator in the lower chart pane and automatically calculates option strike prices , presenting them in an easy-to-read table. The indicator helps users observe trend changes and understand how option strikes might be selected based on current market conditions.
IT has a dashboard that shows you:
Where the trend might be heading (through the oscillator)
What option strikes align with the current price level
When trend transitions occurred
CONCEPTS
This indicator combines several technical analysis concepts in a beginner-friendly format:
1. Trend Observation (Chandelier Exit)
The indicator uses a method called "Chandelier Exit" which observes price volatility to identify potential trend directions. When the indicator shows green, it suggests an upward trend pattern; red suggests a downward pattern. These are reference points, not predictions.
2. Smoothed Price Movement
Raw price data can be noisy. This indicator applies mathematical smoothing (called "Ehlers 2-Pole filter") to reduce short-term fluctuations, making it easier to observe the underlying trend direction.
3. Momentum Oscillator
The oscillator (displayed as bars and lines in the lower pane) shows the difference between smoothed price and its moving average. Positive values suggest upward momentum; negative values suggest downward momentum . This is similar to how MACD or LBR works.
4. Strike Price Calculation
For option traders , the indicator automatically calculates:
ATM (At-The-Money): The strike price closest to the current underlying price
OTM (Out-of-The-Money): Strike prices at a distance from ATM, based on your settings
These calculations use standard rounding methods based on each instrument's official strike interval.
FEATURES
Visual Components:
Color-Coded Oscillator: Green/teal for potential uptrend, purple/red for potential downtrend
Histogram Display: Visual bars showing momentum strength
Chandelier Exit Lines: Plotted on the main price chart as reference levels
Information Table: Displays calculated strikes, timestamps, and optional tracking data
Supported Instruments:
Major indices: NIFTY, BANKNIFTY
Popular stocks: RELIANCE, HDFCBANK, ICICIBANK, INFY, TCS, SBIN, and more
Any NSE instrument (using manual strike interval setting)
Flexible Configuration:
Choose between "Sell Mode" and "Buy Mode" perspectives
Customize strike interval for any instrument
Adjust sensitivity of trend detection
Modify visual appearance (colors, table position, text size)
Track entry prices and observe P&L calculations (for reference only)
Features:
Automatic strike interval detection for predefined instruments
Manual override option for custom requirements
Real-time option premium fetching (where available)
Timestamp recording of trend transitions
Active trade highlighting based on current trend
HOW TO USE
Step 1: Adding the Indicator
Open your PulseWire chart with an NSE instrument (e.g., NIFTY, BANKNIFTY, or any stock)
Search for " Dynamic Strike Selection Indicator " in the Indicators menu
Click to add it to your chart
You'll see an oscillator appear in a pane below your price chart and a table in the corner
Step 2: Basic Settings
Click the settings (gear icon) on the indicator. Here are the key settings to understand:
Symbol Settings:
Symbol Source: Keep it on " Use Chart Symbol " to analyze whatever instrument is on your chart
Custom Symbol: Only change if you want to analyze a different instrument while viewing another chart
Expiry Date:
Set the expiry date of the option contracts you're observing
Use the dropdown menus for Day, Month, and Year
Example: For 30th January 2025, select Day: 30, Month: 01, Year: 25
Trade Entry (Optional):
Trade Mode: Choose "Sell" or "Buy" based on your observation perspective
Lot Size: Enter your intended lot size for P&L calculation reference
PUT/CALL Entry Price: Manually enter prices if you want to track reference P&L
OTM Strike Distance:
Default is 4 (means 4 strikes away from ATM)
Increase for further OTM strikes, decrease for closer strikes
Step 3: Understanding the Display
The Oscillator (Lower Pane):
Green/Teal Bars: Suggest bullish momentum characteristics
Purple/Red Bars: Suggest bearish momentum characteristics
Zero Line: The reference point - above suggests strength, below suggests weakness
Color Change: When the oscillator changes from red to green (or vice versa), it indicates a potential trend transition
Active Row Highlighting:
In Sell Mode: Green background on PUT row during uptrend, Red background on CALL row during downtrend
In Buy Mode: Green background on PUT row during downtrend, Red background on CALL row during uptrend
This helps you observe which strike aligns with the current trend direction
Visual Customization:
Change oscillator colors under "Color Settings"
Adjust table position, size, and transparency under "Table Settings"
Modify table colors to match your chart theme
NOTES FOR BEGINNERS
Start Simple: Use default settings first. Don't change too many parameters initially.
Paper Trade First: Observe the indicator for several days before considering any real trades. Note how often trend transitions occur and how strikes align.
Understand Your Instrument: Know the strike interval for your chosen stock/index. NIFTY/BANKNIFTY use 100, most stocks use 10, 20, or 50.
Timeframe Matters: The indicator behaves differently on different timeframes. A 5-minute chart will show more transitions than a 1-hour chart.
Use with Other Analysis: This indicator is one tool among many. Combine with price action, support/resistance, and volume analysis.
Don't Chase: Just because a transition occurs doesn't mean you must act. Observe the quality of the move.
Backtest Observations: Use PulseWire's replay feature to observe how the indicator performed historically.
CONCLUSION
The Dynamic Strike Selection Indicator serves as an educational tool for observing trend-based oscillator patterns and understanding how option strikes might be mathematically selected based on current market conditions. It combines visual trend analysis with structured strike price calculations, helping users study the relationship between momentum patterns and option strike references.
The indicator is designed to enhance chart interpretation skills and provide transparency into strike selection methodologies. It does not predict future price movements or guarantee any outcomes. Users are encouraged to use it as one component of a broader analytical approach, always conducting independent research and maintaining realistic expectations about market analysis tools.
DISCLAIMER
This indicator is strictly for educational and analytical observation purposes. It is NOT a trading system, signal generator, or financial advisory service.
What This Indicator Does NOT Do:
Does not predict future price movements with certainty
Does not guarantee profitable trades or outcomes
Does not constitute financial, investment, or trading advice
Does not replace the need for independent research and analysis
Does not eliminate trading risks or ensure success
What You Must Understand:
All calculated strikes, P&L values, and trend observations are informational references only
Option trading involves substantial risk and can result in complete loss of invested capital
Past indicator performance does not predict future results
Trend transitions shown are historical observations, not predictions
The "active" highlighting is a visual reference tool, not a trade recommendation
Conduct thorough independent research before taking any trading decision. and consult qualified, licensed financial professionals for personalized advice.
The creator of this indicator is not a registered investment advisor, broker, or financial planner. This tool is provided "as is" without warranties of any kind. By using this indicator, you acknowledge that you understand these risks and limitations, and you agree that all trading decisions and their consequences are solely your responsibility. If you do not fully understand these risks or are unsure about options trading, do not use this indicator for live trading .
Indicator
Luminous Volatility Flux [Pineify]```
Luminous Volatility Flux - Dynamic ATR Bands with Hull Moving Average Baseline
The Luminous Volatility Flux indicator is a sophisticated trend-following and volatility analysis tool that combines the responsiveness of the Hull Moving Average (HMA) with adaptive ATR-based bands that expand and contract based on real-time market volatility conditions. This indicator helps traders identify trend direction, volatility regimes, and potential breakout opportunities with high-probability entry signals.
Key Features
Hull Moving Average baseline for low-lag trend detection
Dynamic volatility bands that breathe with market conditions
Flux Factor system comparing short-term vs long-term ATR
Volatility-filtered breakout signals to reduce false entries
Gradient-filled zones for intuitive visual analysis
Real-time bar coloring based on trend direction
How It Works
The indicator operates on three core calculation layers:
1. Hull Moving Average Baseline
The foundation of this indicator is the Hull Moving Average, calculated using the formula: WMA(2*WMA(n/2) - WMA(n), sqrt(n)). Unlike traditional moving averages, the HMA dramatically reduces lag while maintaining smoothness. This makes it ideal for identifying trend changes earlier than conventional EMAs or SMAs. When the HMA is rising, the baseline turns green indicating bullish momentum; when falling, it turns red for bearish conditions.
2. Volatility Flux Factor
The unique aspect of this indicator is the Flux Factor calculation. It compares short-term ATR (default 14 periods) against long-term ATR (default 100 periods) to determine the current volatility regime:
Flux Factor > 1.0 = Volatility Expansion (market is more volatile than usual)
Flux Factor < 1.0 = Volatility Compression (market is in a squeeze)
This ratio creates a dynamic multiplier that causes the bands to expand during high volatility periods and contract during consolidation phases.
3. Dynamic Band Calculation
The upper and lower bands are calculated as: Baseline ± (Short ATR × Multiplier × Flux Factor). This means the bands automatically widen when volatility increases and tighten during quiet market conditions, providing context-aware support and resistance levels.
Trading Ideas and Insights
Trend Following: Trade in the direction of the baseline color. Green baseline suggests looking for long opportunities; red baseline suggests short opportunities.
Volatility Breakouts: The indicator plots "Flux" signals when price breaks above the upper band (bullish) or below the lower band (bearish) during volatility expansion phases. These signals indicate potential momentum continuation.
Mean Reversion: During compression phases (tight bands), prices often revert to the baseline. Consider taking profits near the bands and re-entering near the baseline.
Squeeze Detection: When bands are unusually tight (Flux Factor < 1), the market is coiling for a potential explosive move. Prepare for breakout trades.
How Multiple Indicators Work Together
This indicator integrates three distinct technical analysis concepts into a cohesive system:
The Hull Moving Average provides the trend direction foundation with minimal lag. The dual ATR comparison (short vs long) creates the Flux Factor that measures relative volatility. The dynamic bands combine both elements, using the HMA as the center and ATR-based deviations that scale with the Flux Factor.
The synergy works as follows: The HMA identifies the trend, the Flux Factor determines market regime (expansion vs compression), and the bands provide dynamic support/resistance levels. Breakout signals only trigger when all components align - price breaks the band AND volatility is expanding. This multi-layered approach filters out many false signals that would occur with static bands or simple moving average crossovers.
Unique Aspects
Unlike Bollinger Bands that use standard deviation, this indicator uses ATR ratio-based dynamic bands that better capture directional volatility
The Flux Factor concept is original - comparing two ATR timeframes to create a volatility regime indicator
Breakout signals are filtered by volatility expansion, reducing false signals during choppy, low-volatility conditions
Gradient fills provide instant visual feedback on the strength of the bullish or bearish zones
How to Use
Add the indicator to your chart. It works on all timeframes and instruments.
Observe the baseline color for overall trend direction (green = bullish, red = bearish).
Watch for band expansion/contraction to gauge volatility regime.
Look for "Flux" signals for potential breakout entries - these appear only during volatility expansion.
Use the gradient zones to identify potential support (lower green zone) and resistance (upper red zone) areas.
Customization
Baseline Length (default: 24) - Controls the HMA period. Lower values = more responsive but noisier; higher values = smoother but more lag.
ATR Length (default: 14) - Short-term ATR period for band calculation. Standard setting works well for most markets.
Flux Multiplier (default: 2.0) - Controls band width. Increase for wider bands (fewer signals), decrease for tighter bands (more signals).
Flux Sensitivity (default: 100) - Long-term ATR period for Flux Factor calculation. Higher values create a more stable volatility reference.
Conclusion
The Luminous Volatility Flux indicator offers traders a comprehensive view of market conditions by combining trend detection, volatility analysis, and signal generation into one elegant tool. Its adaptive nature makes it suitable for various market conditions - from trending markets where it identifies direction and momentum, to ranging markets where it highlights compression and potential breakout zones. The volatility-filtered signals help traders focus on high-probability setups while the visual gradient fills make chart analysis intuitive and efficient.
Note: This indicator is designed as a technical analysis tool. Always use proper risk management and consider multiple factors before making trading decisions. Past performance does not guarantee future results.
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