Ichimoku Volatility & Momentum IndexOverview
The Ichimoku Volatility & Momentum Index (Kumo VMI) translates the structural breadth and internal dynamics of the classic Ichimoku Kinko Hyo system into a focused oscillator.
While traditional Ichimoku charts function as all-in-one indicators for trend, momentum, support, and resistance—where market volatility is typically gauged visually by the physical thickness (width) of the Kumo cloud—this indicator isolates and quantifies that exact relationship into an oscillator layout.
Core Mechanics
1. Cloud Width Index (Volatility)
On a standard chart, the thickness between Senkou Span A and Senkou Span B reveals how volatile or consolidated a market is. The Kumo VMI calculates this absolute distance between Span A and Span B as the Cloud Width Index (CWI):
Thin Cloud Width: Points to low volatility, tight consolidation, or market compression.
Expanding Cloud Width: Highlights building volatility, structural expansion, and potential breakout environments.
Smoothing MA: Includes a customizable moving average overlay (SMA, EMA, WMA, or RMA) to track the baseline trajectory of volatility changes over time.
2. TK Distance (Momentum Confluence)
To help confirm whether an expanding cloud width is backed by underlying directional strength, the indicator incorporates a TK Distance line measuring the separation between the Tenkan-sen and Kijun-sen. When cloud volatility increases alongside a rising TK momentum line, it provides powerful confluence that a significant directional move or breakout is underway.
3. Supplementary ATR Line
An optional Average True Range (ATR) line can be toggled on or off. This serves as a helpful secondary tool for assessing general market volatility context or assisting with practical stop-loss planning, without interfering with the primary Ichimoku volatility focus.
Key Features
Dedicated Volatility Oscillator: Converts visual cloud expansion and contraction into objective line data.
Momentum Integration: Combines cloud width with Tenkan/Kijun separation to spot high-confluence expansion phases.
Flexible Customization: Offers adjustable moving average types/lengths for smoothing, alongside an optional ATR reference line for risk management Indicator
Indicator
BIST30 to SP 500 ATR Momentum RiderBIST30 to S&P 500 — ATR Momentum Rider
BIST30 to S&P 500 — ATR Momentum Rider is a long-only daily strategy built to test a compact and auditable trend-following structure across index futures.
The name describes the research scope—from BIST30 to S&P 500 and other major index futures. It does not mean that the public parameters were optimized on BIST30. Parameter selection used Mini-DAX, E-mini S&P 500, E-mini Russell 2000, EURO STOXX 50, and Nikkei 225 Mini futures. Turkish index futures were kept outside parameter selection and used only as transferability stress tests.
Entry logic
The raw SET event occurs when HMA 8 > HMA 9 > HMA 20 becomes true for the first time. On that same daily close, the strategy calculates the three-day HMA20 slope in ATR units:
(HMA20 - HMA20 ) / (3 × ATR14)
The setup is accepted only when this value is at least -0.180 ATR per day. The threshold does not require a rising HMA20; it permits a mild decline and rejects setups where the slow trend is deteriorating more sharply. The filter is evaluated only on the first establishment of the HMA order. A rejected setup does not enter later inside the same uninterrupted regime.
An accepted setup creates a market order for the next available session open. The decision uses only values known at the daily close.
Exit logic
The strategy has one public exit stage:
K1-A: activation threshold. Maximum favorable excursion is divided by the ATR value known when the entry order is created. Default: 1.50 ATR.
K1-T: trail distance from the highest high observed during the campaign. Default: 5.75%.
K1-W: minimum waiting interval before a K1 close decision can act. Default: 4 sessions.
Once K1 is active, its absolute trail can only rise. An activation reached on the current bar becomes actionable from the next bar, so the activation bar cannot stop itself retroactively. A daily close at or below the active K1 line creates a market exit for the next available open. If a fresh accepted SET appears while a position is open, the campaign is refreshed at the next open.
Research process and held-out results
The K1 values were selected on January 2020–December 2023 data using equal-weight, percentage-normalized metrics across the five international contracts. Keeping the K1 engine fixed, the three-day slope threshold was then scanned from -0.400 to +0.050 ATR/day in 0.001 steps on the same development interval. The exact PF-priority plateau peak was -0.176; the operational value was rounded and locked at -0.180 to avoid publishing a fragile, over-precise threshold.
January 2024–July 2026 was not used to select the slope threshold. In this held-out interval:
Raw setups: 153
Accepted setups/trades: 102 (33.3% reduction)
Positive international instruments: 5 of 5
Median profit factor: 3.46 versus 1.94 without the slope filter
Median normalized net return: 39.3% versus 37.9% without the slope filter
Median return/max-drawdown ratio: 2.32 versus 2.16 without the slope filter
These figures use one adverse minimum tick per market fill and no commission, tax, funding, or roll cost. They are historical research results, not a forecast.
The held-out BIST stress test remained weak: the three Turkish contracts had a median profit factor of 0.77 with the slope filter. Therefore, this public version is better viewed as an international index-futures research strategy. It is not a replacement for a dedicated BIST30 live system.
Use the strategy on standard daily candles. Review each symbol's contract multiplier, session, continuous-contract construction, commissions, roll costs, and margin settings before interpreting Strategy Tester results. Changing the HMA, ATR, K1, or execution settings creates a different, unvalidated configuration.
This script is a research and educational tool, not investment advice. Past performance does not guarantee future results.
BIST30 to S&P 500 — ATR Momentum Rider
HMA 8/9/20 kuruluşunu, sabit ATR-normalize HMA20 eğim filtresini ve yalnız yukarı taşınan tek tepe trailini birleştiren açık kaynak, long yönlü günlük strateji.
BIST30 to S&P 500 — ATR Momentum Rider, farklı endeks vadelilerinde sade ve denetlenebilir bir trend takip yapısını sınamak amacıyla hazırlanmış, yalnız long çalışan günlük bir stratejidir.
İsim, araştırmanın BIST30'dan S&P 500'e ve diğer büyük endeks vadelilerine uzanan kapsamını anlatır. Açık kaynak parametrelerinin BIST30 üzerinde optimize edildiği anlamına gelmez. Parametre seçiminde Mini-DAX, E-mini S&P 500, E-mini Russell 2000, EURO STOXX 50 ve Nikkei 225 Mini vadeli kontratları kullanılmıştır. Türkiye endeks vadelileri parametre seçiminin dışında tutulmuş ve yalnız taşınabilirlik stres testi olarak değerlendirilmiştir.
Giriş mantığı
Ham SET olayı, HMA 8 > HMA 9 > HMA 20 sıralamasının ilk kez oluştuğu günlük kapanışta doğar. Strateji aynı kapanışta HMA20'nin üç günlük eğimini ATR cinsinden hesaplar:
(HMA20 - HMA20 ) / (3 × ATR14)
Kuruluş yalnız bu değer -0,180 ATR/gün veya daha yüksekse kabul edilir. Eşik HMA20'nin mutlaka yükselmesini istemez; hafif gerilemeye izin verir, yavaş trendin daha belirgin bozulduğu kuruluşları eler. Filtre yalnız HMA sıralamasının ilk kuruluşunda değerlendirilir. Reddedilen kuruluş, aynı kesintisiz rejimin sonraki günlerinde gecikmeli girişe dönüşmez.
Kabul edilen kuruluş, sonraki uygun seans açılışı için piyasa emri oluşturur. Karar yalnız günlük kapanışta bilinen değerlerle verilir.
Çıkış mantığı
Stratejide tek bir açık kaynak çıkış katmanı vardır:
K1-A: aktivasyon eşiği. Azami olumlu hareket, giriş emri oluşturulurken bilinen ATR değerine bölünür. Varsayılan: 1,50 ATR.
K1-T: kampanya boyunca görülen en yüksek fiyattan itibaren trail mesafesi. Varsayılan: %5,75.
K1-W: K1 kapanış kararının uygulanabilmesi için gereken asgari bekleme süresi. Varsayılan: 4 seans.
K1 aktif olduktan sonra mutlak trail seviyesi yalnız yukarı hareket eder. Bir barda ulaşılan aktivasyon eşiği sonraki bardan itibaren uygulanabilir; aktivasyon barı geriye dönük biçimde kendi kendisini durduramaz. Günlük kapanış aktif K1 çizgisinde veya altında gerçekleşirse sonraki uygun açılış için piyasa çıkışı oluşturulur. Pozisyon açıkken yeni ve kabul edilmiş bir SET doğarsa kampanya sonraki açılışta yenilenir.
Araştırma süreci ve ayrılmış dönem sonuçları
K1 değerleri Ocak 2020–Aralık 2023 döneminde beş yabancı kontrat üzerinde; endeksler eşit ağırlıklı ve fiyat ölçekleri yüzdeyle normalize edilerek seçildi. K1 motoru sabit tutulduktan sonra üç günlük eğim eşiği aynı geliştirme döneminde -0,400 ile +0,050 ATR/gün arasında 0,001 adımla tarandı. PF öncelikli platonun matematiksel tepe noktası -0,176 oldu; aşırı hassas bir değer yayımlamamak için operasyonel eşik -0,180 olarak yuvarlanıp sabitlendi.
Ocak 2024–Temmuz 2026 dönemi eğim eşiğinin seçiminde kullanılmadı. Bu ayrılmış dönemde:
Ham kuruluş: 153
Kabul edilen kuruluş/işlem: 102 (%33,3 azalış)
Pozitif yabancı endeks: 5/5
Medyan profit factor: eğim filtresi olmadan 1,94, filtreyle 3,46
Medyan normalize net getiri: filtresiz %37,9, filtreyle %39,3
Medyan getiri/azami düşüş oranı: filtresiz 2,16, filtreyle 2,32
Bu rakamlar her piyasa dolumunda bir minimum fiyat adımı ters slippage içerir; komisyon, vergi, fonlama ve vade geçiş maliyeti içermez. Tarihsel araştırma sonucudur, gelecek tahmini değildir.
BIST stres testi zayıf kalmıştır: eğim filtresiyle üç Türkiye kontratının medyan profit factor değeri 0,77 olmuştur. Bu nedenle açık kaynak sürümü yabancı endeks vadelileri için bir araştırma stratejisi olarak değerlendirmek daha doğrudur; özel BIST30 canlı motorunun yerine geçmez.
Stratejiyi standart günlük mumlarda kullanın. Strategy Tester sonucunu yorumlamadan önce sembolün kontrat çarpanını, seansını, sürekli-vade oluşturma yöntemini, komisyonunu, vade geçiş maliyetini ve teminat ayarlarını kontrol edin. HMA, ATR, K1 veya emir yürütme ayarlarını değiştirmek doğrulanmamış farklı bir model oluşturur.
Bu kod araştırma ve eğitim amaçlıdır; yatırım tavsiyesi değildir. Geçmiş performans gelecekteki sonuçları garanti etmez. Strategy
Indicator
Indicator
Indicator
MAs BB Lines_wt [WynTrader]MAs BB Lines --- Published : 2026-08-08
This indicator draws on the classical moving-average-and-Bollinger-Bands framework commonly taught by many specialist authors, to combine an 18-day Bollinger Band setting with a set of key moving averages (21, 50, 100, 200) to read trend direction, volatility, and potential support/resistance zones together. This script builds on that same general approach with a fully customizable, five-MA overlay and an added forward-projection layer.
Features:
📊 5 Independent Moving Averages
Each MA has its own length and type (SMA, EMA, RMA, VWMA, HMA), fully customizable to fit any trading style.
- MA1 (default: 8 EMA) — plotted as stepline for fast reaction visibility
- MA2 (default: 21 SMA), - MA3 (default: 50 SMA), - MA4 (default: 100 SMA) and - MA5 (default: 200 SMA)
📈 Bollinger Bands
Middle line 18-period, 2.0 deviation bands (basis, upper, lower) to frame volatility and price extremes around the trend structure.
🔮 Forward Projection Lines
Dashed projection lines extend from end of lines into future bars, based on each MA's recent slope (lookback-configurable). This gives traders a visual read on where each average is heading if current momentum persists.
- Lookback period: 3–10 bars (controls slope sensitivity)
- Forward projection length: 5–30 bars
- Projections can be toggled on/off
How to use it:
Watch for convergence or crossing of the moving averages and their projected paths — these often mark potential inflection points. Use the Bollinger Bands to gauge whether price is stretched relative to trend. Combine short-term (MA1) and long-term (MA5) MA slopes to confirm trend direction and strength.
Notes:
- Overlay indicator, works on any timeframe and instrument
- All moving average types and lengths are fully adjustable in settings
- Projection lines are visual guides based on recent slope, not predictive signals — always confirm with price action and other analysis
- Conceptual framework inspired by moving-average/Bollinger-Band methods commonly taught by several specialist authors and used by many professionals to identify support and resistance pivots. Indicator
ATR & Bar Range Stop Dashboard
# Title
**ATR & Bar Range Stop Dashboard**
## About this script
**ATR & Bar Range Stop Dashboard** is a volatility-based trade-planning tool designed to provide a quick estimate of reasonable stop-loss distance based on the current market's recent price movement.
Rather than using an arbitrary fixed stop distance, the indicator measures recent volatility using either:
* **Average True Range (ATR)**, or
* **Average Bar Range (High − Low)**
and calculates hypothetical long and short stop prices around the current market price or an optional manually entered reference price.
The purpose of the indicator is not to generate entries or trading signals. It is intended to provide a **volatility reference for stop placement and trade planning**.
A structural stop should still be based on the price level at which the trade thesis becomes invalid. This tool can then be used to evaluate whether that structural stop is unusually tight or wide relative to recent market volatility.
---
## How it works
The script calculates two measures of recent price movement:
**Average Bar Range**
This is the simple average of each candle's:
`High - Low`
over the selected lookback period.
The default lookback is **20 completed bars**.
**Average True Range**
ATR measures True Range over the selected ATR lookback period.
The default is:
`ATR(14)`
The script uses **completed bars for the volatility calculations** so the baseline is not continually distorted by the currently developing candle.
The user can select either **ATR** or **Bar Range** as the basis for the calculated Average Stop.
The basic stop distance is:
`Average Stop = Selected Volatility Measure × Stop Multiplier`
The default multiplier is **1.0x**.
---
## Stop calculations
The dashboard calculates hypothetical stops on both sides of the reference price.
**Long Stop**
`Reference Price - Average Stop - Buffer`
**Short Stop**
`Reference Price + Average Stop + Buffer`
Final stop prices are rounded to the symbol's valid minimum tick increment.
The calculated stops are intended as **volatility-based reference levels**, not automatic recommendations to place an order at those exact prices.
---
## Adaptive buffer
An additional buffer places the calculated stop slightly outside the raw volatility boundary.
### Futures
In Auto mode, the futures buffer is:
`max(2 ticks, 10% of Average Stop)`
with an adjustable maximum buffer percentage.
The default maximum is **25% of Average Stop**.
This provides a small minimum buffer in lower-volatility conditions while allowing the buffer to expand as volatility increases.
### Stocks and ETFs
The default Auto buffer is:
`10% of Average Stop`
subject to the same adjustable maximum buffer percentage.
### Manual buffer
Users can disable Auto mode and specify the buffer directly in **number of ticks**.
---
## Timeframe behavior
By default, all volatility calculations use the **current chart timeframe**.
For example:
* 2-minute chart → 2-minute volatility
* 5-minute chart → 5-minute volatility
* 15-minute chart → 15-minute volatility
* Daily chart → daily volatility
A **Manual Timeframe Override** is also available when the trader wants the dashboard to reference volatility from a different timeframe.
For example, a trader executing on a 2-minute chart may choose to calculate the stop using 5-minute volatility.
---
## Reference price
By default, the script calculates the hypothetical stop levels from the **current market price**.
An optional **Manual Entry Price** can be enabled.
This is useful after entering a trade or when planning an entry at a specific price because the stop calculations remain anchored to that reference price rather than moving continuously with the market.
The dashboard still displays the live Current Price separately.
---
## Dashboard modes
### Minimal
Designed for active trading and displays only:
* Current Price
* Average Stop and its basis
* Long Stop
* Short Stop
The **Long Stop is displayed in green** and the **Short Stop in red** for quick identification.
### Full
Displays additional volatility information:
* Average Bar Range
* ATR
* Current Bar Range
* Current Bar / Average Bar ratio
* Current Price
* Average Stop and calculation basis
* Buffer
* Long Stop
* Short Stop
---
## Display options
The dashboard can be customized using:
**Table Size**
* Tiny
* Small
* Normal
* Large
* Huge
**Horizontal Placement**
* Left
* Center
* Right
**Vertical Placement**
* Top
* Middle
* Bottom
These controls provide all nine standard PulseWire table-placement combinations.
---
## Suggested interpretation
The indicator is most useful as a **context tool rather than a mechanical stop system**.
For example, if a proposed structural stop is only 0.3 ATR away from the entry while normal bars are already considerably larger than that distance, the stop may be vulnerable to ordinary market noise.
Conversely, a structural stop several ATRs away may indicate that the trade requires unusually large risk relative to current volatility.
The indicator does not determine whether the underlying trade setup is valid.
A practical workflow is:
1. Identify the trade setup.
2. Determine the price level that structurally invalidates the setup.
3. Compare that distance with the dashboard's volatility-based Average Stop.
4. Determine whether the structural stop allows acceptable risk.
5. Adjust position size rather than artificially tightening a structurally necessary stop.
---
## Default settings
**Volatility**
* Average Bar Range Length: `20`
* ATR Length: `14`
**Stop**
* Stop Basis: `ATR`
* Stop Multiplier: `1.0x`
**Buffer**
* Mode: `Auto`
* Auto Buffer: `10%`
* Futures Minimum Buffer: `2 ticks`
* Maximum Auto Buffer: `25%`
**Timeframe**
* Current chart timeframe
**Display**
* Minimal
* Small
* Top Right
All parameters are configurable.
---
## Important notes
This indicator:
* Does **not** generate buy or sell signals.
* Does **not** determine market direction.
* Does **not** automatically identify structural invalidation.
* Does **not** determine position size.
* Does **not** guarantee that a calculated stop will avoid being triggered.
* Is intended as a volatility and trade-planning tool.
ATR and average bar range describe **recent historical volatility**. Future volatility can change rapidly, particularly around economic releases, earnings, market opens, news events, or periods of reduced liquidity.
Traders should use the calculated levels together with market structure, risk management, and their own trading methodology.
---
# Release notes — Version 1.0
**Initial release**
* Added ATR-based stop-distance calculation.
* Added Average Bar Range alternative to ATR.
* Added configurable stop multiplier.
* Uses completed bars for baseline volatility calculations.
* Added automatic chart-timeframe detection.
* Added optional manual timeframe override.
* Added live Current Price display.
* Added optional Manual Entry Price for fixed stop calculations.
* Added automatic futures and equity buffer logic.
* Futures Auto Buffer defaults to the greater of 2 ticks or 10% of Average Stop.
* Stocks and ETFs default to a 10% Average Stop buffer.
* Added adjustable maximum Auto Buffer.
* Added manual tick-based buffer override.
* Added Long and Short stop price calculations rounded to valid minimum tick increments.
* Added Minimal and Full dashboard modes.
* Average Stop clearly identifies whether ATR or Bar Range is being used.
* Added configurable table size.
* Added Left / Center / Right and Top / Middle / Bottom table positioning.
* Added green Long Stop and red Short Stop highlighting.
Indicator
Sniper Open - Complete SignalSniper Open — NY Open FVG + Liquidity + Momentum
This indicator detects a specific 3-part confluence at the New York market open (9:30-9:45 ET):
Fair Value Gap (FVG) — a 3-candle imbalance in price
Liquidity Zone alignment — the gap must sit near a validated equal-high/equal-low level (2+ touches within 24 hours)
Momentum confirmation — the confirming candle must close in the signal's direction
Order block alignment — a recent order block in the same direction must exist
All four conditions must align, during the 9:30-9:45 ET window specifically, for a confirmed signal to fire.
Backtested results (3 years of NQ data, train/test validated):
~66-71% win rate on filled trades
~13-16 point average expectancy per filled trade
Signals fire roughly once every 2 trading days
How to use it:
The small faded circles are "watching" markers — an unconfirmed setup possibly forming. Informational only, not a trade signal.
The solid triangle is the confirmed signal. When it appears, place a limit order at the entry price shown (not a market order).
If your limit order isn't filled within 15 minutes, cancel it. This happens on roughly 44% of signals — it's expected, not a malfunction. The strategy's edge comes from letting price return to the level, not chasing it.
Stop and target levels are drawn automatically alongside each signal.
Important disclaimers:
This is backtested historical data, not a live trading track record. Past performance does not guarantee future results.
This is not financial advice. Trade at your own risk and do your own due diligence.
Built and tested specifically for NQ futures at the NY open — performance on other instruments or timeframes is not validated.
No mechanical filter can eliminate all uncertainty — momentum can reverse, targets aren't always reached, and drawdowns happen even in genuinely validated strategies. Indicator
Bit SecurE - Gold And Silver Miner# Bit Secure Gold And Silver Miner
**Bit Secure Gold And Silver Miner** is a multi-engine trading toolkit designed for **Gold (XAUUSD), Silver (XAGUSD), Forex, Crypto, and other liquid markets**. The indicator combines multiple technical modules into a single workflow so traders can analyze trend, volatility, liquidity, higher-timeframe context, and key market levels without loading several separate indicators.
## What’s Included
* **Volatility Trend Line Engine**
* Adaptive trend tracking based on market volatility
* Reversal markers and optional trend visualization
* Multiple preset configurations (Fast Response / Smooth Trend / Default)
* **Liquidity Pool & Sweep Detection**
* Swing-based liquidity zones
* Buy-side and sell-side liquidity tracking
* Sweep detection and structure-aware visual cues
* **Higher Timeframe Supertrend**
* HTF trend filtering using Heikin Ashi data
* Optional trend lines and flip markers
* Multi-timeframe directional context
* **CPR & Multi Pivot Engine**
* Classic CPR
* Traditional, Fibonacci, Camarilla, Woodie, and CLASSIC-2 pivots
* Dynamic level labels
* **Color-Changing Hull Moving Average**
* Trend-sensitive HMA coloring
* Optional display toggle
* **Daily / Weekly / Monthly VWAP**
* Multi-timeframe VWAP support
* Automatic bullish / bearish color adaptation
* Higher-timeframe bias reference
* **Session Tools**
* Asia and London session range tracking
* Optional midpoint and range visualization
* **RSI Hybrid Engine**
* Momentum and trend context support
* Designed to work alongside the other modules for confluence-based analysis
## Best Use Cases
This indicator is intended for traders who prefer **confluence-based decision making**, where multiple factors such as trend, volatility, liquidity, and higher-timeframe levels are aligned before taking a trade.
Commonly used on:
* **Gold (XAUUSD)**
* **Silver (XAGUSD)**
* **Forex Pairs**
* **Crypto Markets**
* **Indices and other liquid instruments**
## Suggested Timeframes
* **Scalping:** 1m–5m
* **Intraday:** 15m–1H
* **Swing Trading:** 4H–Daily
## Open Source
This script is published as **Open Source** so that traders can study, learn from, modify, and improve it. If you use or build upon this code, please respect PulseWire’s **House Rules** and provide proper attribution where appropriate.
## Special Thanks
A sincere thank you to the teams behind **Quant Algo** and **Lux Algo** for their educational work and open technical concepts shared with the trading community.
This project includes **adapted patches inspired by the Volatility Trend Line and CURE-related scripting concepts**, which were studied and integrated into this indicator with respect for the original creators’ contributions.
## Important
This indicator is a technical analysis tool and **should not be considered financial advice**. No indicator can guarantee future market performance. Always use proper **risk management, position sizing, and independent judgment** before entering any trade.
If you find the script useful, consider **liking, sharing, and contributing improvements** to help the community learn and build better trading tools together.
Indicator
Trade Wzrd - Null Range [Rampage Series]✨ TRADE WZRD - NULL RANGE
Every range has two middles. The one price draws - the midpoint - and the one VOLUME draws: the exact price where everything traded inside the range nets to nothing. Half the participation above, half below. The balance point where the tug-of-war reads null .
Null Range plots that line, builds a channel out of volume's own deviation, and fades the pokes that venture beyond it - out where participation thins to nothing. Not a promise - a receipt.
⚡ THE RAMPAGE SERIES ⚡
Null Range is a release in the Rampage Series - a growing family of volume-and-levels tools built by Trade Wzrd. Every Rampage script ships with the same built-in automation layer: signals don't just paint, they speak. One alert, one webhook, and every entry, exit and fill fires a plain-text order string.
✨ THE NULL RANGE ✨
The dealing range's volume is distributed across a hundred invisible bins, and the 50/50 split becomes a single glowing line. Not a midpoint. Not an average. The price where the crowd's money actually nets to zero. And the line itself is the regime read: it runs CYAN when volume's center of mass sits in the cheap half, RED when it sits in the expensive half. Its right-edge tag carries VOL CENTER - the exact percentage. Hover it for the full story.
⚡ THE VOLUME CHANNEL ⚡
The same bins yield volume's standard deviation - so Null Range draws the channel where participation actually lives: two glowing sigma walls around the line with graded fills, and nothing else. ~95% of traded volume lives inside. Price beyond the wall is price out where volume goes null - extended, exhausted, and ripe for the trap.
✨ KINETIC FUEL ✨
Under the structure, a fuel strip burns: volume times speed, candle by candle, normalized against recent history. Bull fuel hangs off the discount wall in cyan, bear fuel off the premium wall in red - spike squares mark the bars that moved real mass, and WALL SLAM diamonds stamp the bars where that mass physically hit a wall. When a trap springs off a slam, the whole crowd pushed - and still failed.
⚡ THE MARGIN PROFILE ⚡
In the right margin, the range's own bins draw themselves quietly - spanning exactly wall to wall, because that's where the volume that matters lives. Every row is tinted by who owned that price: cyan where buyers dominated, red where sellers did. The Point of Control is ringed in gold. Width, offset, delta coloring - all yours. It's the same engine as the line, laid on its side.
✨ FLOW HEAT ✨
No labels. No lines. Just heat. When price sinks while buy pressure quietly rises, the tape washes faint cyan - someone is loading into weakness. When price rises while sell pressure builds, it washes faint red - someone is unloading into strength. The disagreement between pressure and price, painted as weather. The dashboard's FLOW HEAT row names the shift when it's live.
✨ THE FILTERS ✨
Trade only what the database believes in. Min Win Probability skips signals from cold buckets (once they have enough samples to judge - TRACKING signals always pass). Max Extension skips blow-off pokes. Balance Alignment demands volume's center be on your side. Every active filter shows on the dashboard's FILTERS row, so you always know what the engine is allowed to take.
✨ THE TRAP ✨
The signal: price pokes beyond the two-sigma wall - out into the null - and closes back inside within the trap window. The fakeout. Fade it back toward the line - the default target IS the null range itself, because mean-reversion trades deserve mean-reversion targets. Premium traps short from above, discount traps long from below. EQ Reclaim mode (decisive crosses back through the line, 0.2 ATR minimum, no whipsaw) is there for continuation players.
⚡ THE CONVICTION SCORE ⚡
Here is where Null Range stops asking for trust. Every signal carries one compact number - CONVICTION - that no single ingredient could give you. Underneath it sits this chart's own live database: traps bucketed by how deep the extension ran (0–0.25, 0.25–0.5, 0.5–1.0, 1.0+ ATR beyond the wall), reclaims bucketed by whether volume's center was on their side. That historical win rate is the base - then the score bends with the scenario: volume's center on your side or against you, a tidy poke or a blow-off, a spike bar or thin air. History + balance + depth + fuel, fused into one grade from 5 to 95. Early on, before the buckets earn their samples, the score runs on structure alone - and says so.
And the hover is REACTIVE . Point at any signal and the verdict breaks the score into its parts: the conviction line, thin-sample warnings when a bucket is young, hot/cold bucket verdicts, depth-risk notes on blow-off extensions, balance alignment with the crowd's cost basis, and a fuel read on the participation behind the poke. Same model, different situation, different answer.
✨ THE RECEIPTS ✨
Signals stay on the chart as compact conviction chips - ▲ T 72, ▼ R 64 - one glance, one grade. Every closed trade stamps ✓ TP HIT or ✗ SL HIT exactly where it died. The dashboard tracks the VOL CENTER and PRICE POS gauges, the regime word, EQ/POC/channel width, the last signal with its conviction, the FLOW HEAT state, the database total, and a 10-dot streak row. The trade box carries entry, dashed stop, solid target with live R:R - and the conviction rides inside the entry tag.
⚡ YOURS TO SHAPE ⚡
Every visible piece answers to you: walls on or off, the line gradient or solid, EQ and POC tags toggleable, POC width, profile width and offset, delta colors or one solid tone, fuel strip, slam markers, flow heat, channel fills. The defaults are the house look - the knobs are all yours.
⚡ BUILT-IN AUTOMATION ⚡
One alert ("Any alert() function call") + your webhook URL, and Null Range speaks TradeWzrd order strings:
⚡ Entries with SL/TP prices attached
⚡ Optional opposite-signal close prepended to new entries
⚡ TP/SL-hit close alerts that mirror the on-chart trade box
The same readable comma syntax drives automation across 7+ platforms - percent-risk or fixed-volume sizing, magic numbers, order comments. No lock-in: plain text, any endpoint.
✨ HOW TO READ IT ✨
⚡ One glowing line = where the range's volume nets to null. Cyan = volume built low, red = volume built high
⚡ The graded channel = where ~95% of the volume lives. Price outside the wall = out in the null, extended
⚡ Fuel candles below/above the walls = kinetic energy per bar; squares = spike bars; diamonds = wall slams, mass meeting structure
⚡ Faint cyan/red wash behind the tape = flow heat: pressure and price disagreeing
⚡ The quiet profile in the margin, wall to wall = who owns each price: cyan rows buyers, red rows sellers, gold ring POC
⚡ ▲ T / ▼ T chips = the trap just failed - the number is conviction: this chart's track record bent by balance, depth and fuel. Hover for the breakdown
⚡ ▲ R / ▼ R chips = decisive reclaims of the line, same conviction engine
⚡ Dashboard: gauges, regime, FILTERS row, FLOW HEAT row, DATABASE row (trap and reclaim rates separately), streak dots
⚡ HOW TO USE ⚡
⚡ Drop it on any liquid symbol, 5m to 4H - tuned defaults for XAUUSD 15m
⚡ Let it run. The database is empty at first - conviction runs on structure alone until the buckets earn their samples
⚡ Compare buckets: if shallow traps earn 70% and deep ones earn 40%, you know exactly which pokes to take
⚡ Wire one alert when you're ready to automate
✨ LIMITATIONS ✨
⚡ Conviction starts from this chart's own history, bucketed - a sample, not a promise. Small samples lie confidently; the hover tells you when a bucket is young
⚡ The database resets when you change symbols, timeframes, or core settings - every context earns its own track record
⚡ Traps fade extensions - in a runaway trend, the outer wall keeps getting hit and the trap window is the honest filter
⚡ On symbols without volume data, the line falls back to midpoint and sigma to range/4
✨ CREDITS ✨
Kinetic fuel concept inspired by "Kinetic Momentum Vectors" by BigBeluga (CC BY-NC-SA 4.0). Concept only and Null Range's fuel is re-engineered from zero: volume times speed, burning off our own volume-channel walls. No code or geometry shared with the original.
Rift maps WHERE the volume traded. Null Range knows WHERE THE VOLUME NETS TO NOTHING - and what fading the void has been worth.
Educational shell. Not financial advice. Not a signal service. Indicator
ATK / DEF Advanced Battle Engine## Overview
ATK / DEF Advanced Battle Engine is a market behavior analysis and visua tool that combines liqui conditions, price movement, volati behavior, and swing struc to provide a mu-dimenal reference around signcant price highs and lows.
Raher than trting price movement as a simple upward or downward ratio, this indicator examines how liquidity conditions and price movement inract with one anoer around swing points.
The ATK / DEF concept is used as a structural repsentation of changing market behavior. It is not inteed to repsent a conntional direcnal indicator or a simple adce/dine measement.
## Core Concept
The indicator combines several market observations into a unied analytical framework:
• Swing High and Swing Low structure
• Liquidity pressure
• Liquidity changes
• Price movement behavior
• ADL-based tracking
• ADL directional behavior
• ADL attraction characteristics
• Volatility conditions
• Combined behavior assessment
The purpose of combining these components is to provide additional context around hw price behaves when it rches or develops around important high and low areas.
Instead of evating a high or low from prie alone, the indicator considers the surrnding liqity and movement conditions at the se time.
## High & Low Behavior
Swing High and Swing Low points form the structural foution of the indicator.
When a high or low is idenied, the indicator displays additional contextal information associed with that location, including the current ADL tracking condition and liquidity pressure.
This creates a layered view of each structural point.
A high is therefore not trted simply as a numical pric leel, and a low is not treed simpl as an isolaed turing point.
The surroding conditions are displayd together to provide a broader represtation of the behavior occring around that area.
## Liquidity Analysis
Liquidity information is reprented through two primary observions:
### Liquidity Pressure
Liquidity Pressure compares the current volume condition with its corresnding average levl.
The result is normalized into a bounded rae and classied into dferent pressure levls.
This provides a reference for identiing whether the current market envirment is operating under relatily higher, normal, or lower liqdity conditions.
### Liquidity Change
Liquidity Change exanes the change in volume conditions across a dened period.
It provides a reference for whether liquidity conditions are incasing, decasing, or remning relavely balanc.
These measements are used as conttual information raer than as stalone directional measuments.
## ADL Tracking
The ADL Tracking component evaates the relaonship between price change and changs in volume conditions.
The resuing value is normalized into a range and categized into several intensity levels.
This allows the indicator to reprent the current relatiohip between price movement and liquidity conditions without reducing the analysis to price direction alone.
The displayed levels provide a visua reference for changes in the inteity of this relationship.
## ADL Trend
ADL Trend measures the change in the ADL tracking condition over a dened period.
It classifies the observed behavior as:
• Up
• Down
• Sideways
The associated strgth value proides additional context rerding the magtude of the oerved change.
This component is intended to describe the changing state of the undeying measurement rather than simply deribing whether price is risg or faing.
## ADL Attraction
ADL Attraction examines the difference between the ADL-based movement component and the unrlying price-change component.
The resulting value is smoothed and normalized to provide a serate referce for directional pressure within the combed calculan.
The indicator presents this condition through:
• Direction
• Strength
• Intensity level
This helps distinguish the behavior of the combined liquidity/price relationship from the raw movement of price itelf.
## Volatility Behavior
Volatility Behavior compares the current candle range with ATR-based volatility conditions.
The result provides a normalized reprentation of the relative size of the current price range.
The indicator classifies volatility into several levels, allowing users to distiuish between relatively qut price behavior and periods with greater range expansion.
Volatility is presented as contextual information alongside liquidity and structural observations.
## Behavior Detection
The Behavior Detection component combines ADL Tracking and ADL Attraction into a single reference value.
This produces a brder repsentation of the conditions being obrved by the indicator.
The resulting classifation provides a simplified summary of the combined measurements while retaining the underlying components in the analysis table.
It should be viewed as a composite reference rather than a standalone directional measurement.
## ATK / DEF Framework
The ATK / DEF terminogy describes two sies of market behavior around structural price areas.
**ATK** reprsents the obsvation of upward-side interaction around relevant high-side structure.
**DEF** reprsents the obseration of downward-side interaction around relevant low-side structure.
These tems are usd as visal and structural laels for intpreting the relatiship between price, liqdity, and swing behavior.
They do not represent direct market instructions.
## Analysis Table
The intated analysis table prides a compact view of the current analytical state.
It includes:
• ADL Tracking
• ADL Trend
• ADL Attraction
• Liquidity Pressure
• Liquidity Change
• Volatility Behavior
• Behavior Detection
The table allows the different measurements to be vied togher rather than interpreting each component independently.
## Swing Labels
When ebled, Swing High and Swing Low labels display the strtural price level together with contextual liquidity and ADL information.
This allows histical swing locations to rein addtional analycal information instead of displaying only the price level.
The result is a more detaled visual reprentation of how liqdity and price behavior were charterized around the detected structural area.
## Design Philosophy
The design of ATK / DEF Advanced Battle Engine is based on combining multle forms of market information rather than relng on a single measurement.
Price strture provides the location.
Liquidity provides conttual participation information.
ADL calculaons provide a relaonship between price movement and volume conditions.
Volatity provides information about the sce of current price movement.
Together, these components create a multi-layer reference for stud market behavior around highs, lows, and chaing structural conditions.
## Important Note
This indicator is intended for market behavior analysis and visual reference.
It is not designed as a stalone desion-mag sysm. The displayed measuments should be evalted together with other anatical tools, market contet, and indendent intertation.
The values and classiations are callated from historal price and volume da and may chang as new mat dat devels.
Histor behavior does not guara future conditions.
ATK / DEF Advanced Battle Engine is designed to provide additional analytical
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Risk Sizer### Risk Sizer
**Risk Sizer** is a fast position-sizing and execution-risk tool designed for discretionary intraday and breakout trading.
Instead of choosing a position size first, place the draggable **SL** at the level where your trade idea is invalidated. Risk Sizer then calculates the position size based on your account risk while accounting for trading costs and execution conditions.
The indicator displays:
* **REC QTY** — liquidity-adjusted recommended position size
* **RISK QTY** — maximum size based on your configured risk
* **POSITION** — recommended position notional
* **SL** — stop price and percentage distance
* **ATR** — ATR for the current chart timeframe
* **SL / ATR** — stop distance relative to current volatility
* **BUFFER** — configurable slippage/execution allowance
* **RT FEES** — estimated round-trip trading fees
* **FEE / SL** — how significant fees are relative to the stop distance
* **RISK USED** — estimated total risk versus your configured risk budget
* **CAP USED** — percentage of the configured maximum position limit
* **1M LIQ** — average 1-minute notional volume used as a liquidity proxy
* **LIQ MULT** — suggested size reduction when the position is large relative to observed volume
* **EXECUTION** — simple green / amber / red execution warnings
### Position sizing
Position size accounts for:
**Structural SL + execution buffer + estimated round-trip fees**
This helps prevent extremely tight stops from producing unrealistically large position sizes.
For example, if your stop is only `0.01%` but your round-trip trading costs are `0.08%`, fees are already significantly larger than the structural stop. Risk Sizer highlights this through the **FEE / SL** metric and includes those costs when determining size.
### Liquidity-adjusted sizing
Risk Sizer also calculates an optional liquidity recommendation using average **1-minute PulseWire notional volume**.
If your risk-based position would represent more than your configured target percentage of average 1-minute volume, the indicator reduces the recommended size and shows the resulting **LIQ MULT**.
Example:
```text
RISK QTY 100 ETH
LIQ MULT 0.40x
REC QTY 40 ETH
```
The risk-based quantity remains visible so you can distinguish between:
**Risk capacity** — how much you could trade based on your stop and risk budget.
**Execution capacity** — a more conservative recommendation based on observed market activity.
### Execution status
The indicator classifies conditions into simple execution warnings.
**Green — OK**
No obvious sizing or execution issue detected.
**Amber — Review**
* High fees relative to SL
* Very tight or wide SL relative to ATR
* Liquidity-based size reduction
* Position notional cap reached
**Red — Attention**
* Round-trip fees exceed the structural SL percentage
* Invalid or impractical calculated position size
### Typical workflow
**1. Identify the trade setup**
**2. Drag SL to structural invalidation**
**3. Check EXECUTION status**
**4. Read REC QTY**
**5. Execute**
The indicator is intentionally designed for quick visual use during fast-moving markets.
### Important limitations
The liquidity model is a **proxy**, not an order-book or slippage prediction.
It uses PulseWire's available 1-minute volume data and does not know the actual depth, spread, liquidity-provider inventory, or execution quality available at your broker or exchange.
Actual fills may differ due to:
* Spread
* Order-book depth
* Market impact
* Latency
* Volatility
* Slippage
* Broker/exchange execution
* Fees and instrument specifications
Fees, quantity increments, point value, maximum notional and liquidity thresholds are configurable and should be adjusted to match the instrument and venue you trade.
**Risk Sizer is an execution and risk-management aid, not a trading signal or financial advice.**
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Advanced High Volume Bars - HybridThis indicator highlights abnormal trading volume directly on price candles by combining two methods: absolute volume relative to its moving average and standard deviation, and sudden volume acceleration compared with the previous candle.
Normal bullish candles are shown in green and normal bearish candles in red. High, very high, and exceptional bullish volume are displayed with a blue gradient, while high, very high, and exceptional bearish volume are displayed with an orange gradient.
The script is designed to make unusual volume activity easier to identify at a glance and can be used to help confirm breakouts, reversals, momentum shifts, and potential exhaustion moves.
Default settings: 200-bar lookback, with volume thresholds based on 0.5, 1.0, and 2.0 standard deviations. Indicator
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Tubbsie's Chop Warning Indicator**Chop Warning**
A simple, at-a-glance indicator that tells you whether the market is trending cleanly or chopping sideways around a moving average — the kind of environment where breakouts fail, stops get hunted, and most trend-following setups don't work.
**How it works**
The indicator picks a reference EMA (13 by default) and counts how often each candle's high–low range contains that EMA. When price is trending, most candles sit cleanly above or below the moving average and the count stays low. When price is chopping, the EMA sits inside candle after candle and the count rises.
Two views are reported side by side:
- **Rolling** — the percentage of crosses over the last N candles, showing what's happening right now
- **Session** — the percentage across the whole trading session, showing the character of the day as a whole
Both figures appear in a small on-chart table, colour-coded green (clean), amber (mixed), or red (choppy). A single verdict line at the top summarises the current state in plain English.
**Settings**
Everything is configurable: EMA length, rolling window size, the two thresholds that define "clean" and "choppy", which view drives the warning (rolling, session, or either), the session window and timezone, table position and size, colours, and optional background shading when a warning is active. Alerts fire when chop is detected and when the market cleans up again.
**How to use it**
Works on any market and any timeframe. Add it to your chart alongside your existing setup and treat a red verdict as a filter — a signal to stand aside, reduce size, or wait for the environment to improve before taking a trend-based trade.
Indicator
Alpha Trend Hunter | PropTraderzOverview
Alpha Trend Hunter is an overlay trend-analysis indicator designed to identify directional transitions by requiring agreement between two independent components:
a custom smoothed synthetic price structure derived from OHLC data;
an ATR-based SuperTrend filter.
The indicator does not generate a Buy or Sell label from either component independently.
A signal is created only when both modules agree on direction and the combined directional state changes.
The intended workflow is therefore:
Price Smoothing → Synthetic Trend Direction → Volatility Trend Confirmation → Directional Signal
The underlying concepts of exponential moving averages, synthetic Heikin-Ashi-style calculations, ATR and SuperTrend are established technical-analysis concepts. The implementation focuses on combining them into a two-stage confirmation framework intended to reduce isolated directional transitions that are not supported by both price structure and volatility-adjusted trend.
1. Smoothed OHLC Foundation
The first stage of the indicator applies an exponential moving average independently to:
Open
High
Low
Close
The default smoothing period is:
14 bars
This creates four smoothed OHLC series:
smoothed open;
smoothed high;
smoothed low;
smoothed close.
The purpose of this initial stage is to reduce some of the short-term noise present in raw candles before the synthetic trend structure is calculated.
A larger HA Period produces more smoothing and slower reactions.
A smaller HA Period keeps the synthetic structure closer to raw price and therefore makes it more responsive.
2. Custom Synthetic Heikin-Ashi-Style Structure
After the OHLC series are smoothed, the script calculates a synthetic typical value:
Synthetic Typical =
(Smoothed Open + Smoothed High + Smoothed Low + Smoothed Close) / 4
A recursive synthetic open is then calculated.
On initialization:
Synthetic Open =
(Smoothed Open + Smoothed Close) / 2
After initialization:
Synthetic Open =
(Previous Synthetic Open + Previous Synthetic Typical) / 2
This recursive calculation creates a smoother directional structure that carries information forward from previous bars.
It should be understood as a custom Heikin-Ashi-style synthetic calculation, rather than the standard Heikin Ashi candle series supplied directly by PulseWire.
3. Synthetic High and Low
The script constructs synthetic upper and lower values using the smoothed high/low together with the synthetic open and synthetic typical value.
Synthetic High
The maximum of:
smoothed high;
synthetic open;
synthetic typical.
Synthetic Low
The minimum of:
smoothed low;
synthetic open;
synthetic typical.
These values define the working synthetic price range used by the trend-line calculation.
4. Synthetic Mid-Line
The midpoint of the synthetic range is calculated as:
Mid-Line = Synthetic Low +
(Synthetic High − Synthetic Low) / 2
This is equivalent to the midpoint between the custom synthetic high and low.
The mid-line is then smoothed again using an EMA.
The default secondary smoothing length is:
2 bars
The result is plotted as the primary visible trend line.
5. Trend-Line Direction
The color of the main trend line is determined by the relationship between:
synthetic open;
synthetic typical price.
Bullish synthetic structure
When:
Synthetic Open < Synthetic Typical
the structure is interpreted as bullish.
Bearish synthetic structure
When:
Synthetic Open > Synthetic Typical
the structure is interpreted as bearish.
The trend line therefore provides a continuous visual representation of the direction calculated from the custom synthetic price series.
6. Secondary Smoothing
The Smooth parameter controls the final EMA applied to the synthetic midpoint.
Default:
2
Lower value
Produces:
faster trend-line response;
closer tracking of short-term movement;
potentially more directional changes.
Higher value
Produces:
smoother trend line;
slower reaction;
stronger filtering of small changes.
This parameter affects the displayed synthetic trend line.
It is separate from the HA Period used to smooth the original OHLC values.
7. SuperTrend Confirmation Filter
The second major component is PulseWire's ATR-based SuperTrend calculation.
The SuperTrend uses two user-configurable parameters:
ATR Period
Factor
Default values:
ATR Period = 2
Factor = 2.0
SuperTrend constructs volatility-adjusted trailing boundaries around price.
The active trend direction changes when price moves sufficiently through the corresponding volatility boundary.
8. SuperTrend Direction
The script interprets the SuperTrend direction as:
Bullish
stDir < 0
Bearish
stDir > 0
The active bullish or bearish SuperTrend line is plotted independently.
A lightly shaded area between candle midpoint and the active SuperTrend boundary provides additional visual context.
9. ATR Period
The ATR Period controls how quickly the volatility measurement reacts to changing market conditions.
The default value is relatively short:
2 periods
Smaller ATR Period
Generally creates:
faster volatility adaptation;
more responsiveness to recent price movement.
Larger ATR Period
Generally creates:
smoother ATR values;
slower adaptation;
less sensitivity to individual short-term volatility changes.
Because the default setting is intentionally responsive, users should test longer ATR periods when applying the indicator to noisier instruments or lower timeframes.
10. SuperTrend Factor
The Factor controls the distance of the SuperTrend boundary from price.
Conceptually:
SuperTrend distance ∝ ATR × Factor
Therefore:
Lower Factor
Generally produces:
tighter SuperTrend boundaries;
faster trend changes;
more frequent directional transitions;
increased sensitivity to noise.
Higher Factor
Generally produces:
wider boundaries;
slower trend changes;
fewer transitions;
stronger filtering of smaller price movements.
So, similar to the Sensitivity concept in the previous indicators:
Higher Factor = generally fewer/slower SuperTrend transitions.
Lower Factor = generally more/faster transitions.
11. Dual-Confirmation Signal Logic
Signals require directional agreement between the synthetic price structure and SuperTrend.
Bullish agreement
A bullish state exists when:
synthetic open is below synthetic typical;
AND SuperTrend is bullish.
In simplified form:
Synthetic Bullish + SuperTrend Bullish = Long State
Bearish agreement
A bearish state exists when:
synthetic open is above synthetic typical;
AND SuperTrend is bearish.
In simplified form:
Synthetic Bearish + SuperTrend Bearish = Short State
Neither condition alone produces a signal.
12. Buy Signals
A Buy label appears when the indicator transitions into a new bullish agreement state.
This requires:
bullish synthetic trend;
bullish SuperTrend;
the combined bullish condition was not active on the previous bar;
the previous stored signal state was not already bullish.
Once the bullish state is recorded, repeated Buy labels are suppressed until the indicator first transitions into the opposite directional state.
This prevents the indicator from printing a Buy label on every bullish candle.
13. Sell Signals
A Sell label follows the inverse logic.
It requires:
bearish synthetic trend;
bearish SuperTrend;
a new bearish agreement state;
the previous stored state not already being bearish.
The persistent signal-state variable therefore allows the indicator to mark directional transitions rather than continuous conditions.
14. Why Two Trend Components Are Used
The two components measure trend differently.
Component Main role
Smoothed OHLC Reduces raw candle noise
Synthetic structure Measures directional price relationship
Synthetic trend line Visualizes smoothed structural direction
ATR/SuperTrend Volatility-adjusted trend confirmation
State engine Prevents duplicate signals
Buy/Sell labels Marks changes in confirmed direction
The synthetic component is derived primarily from smoothed price structure.
SuperTrend is driven by price plus volatility.
Requiring agreement therefore attempts to avoid treating a change in either calculation alone as sufficient confirmation.
15. Example Bullish Interpretation
Suppose the synthetic trend changes bullish.
That condition alone does not immediately require a Buy label.
The indicator also evaluates SuperTrend.
If SuperTrend remains bearish, the two systems disagree and no bullish signal is generated.
When both eventually satisfy:
Synthetic Trend = Bullish
and
SuperTrend = Bullish
a new bullish combined state can generate a Buy signal.
This structure is intended to filter some early synthetic transitions that occur before volatility-adjusted trend confirmation.
16. Example Bearish Interpretation
The same process applies inversely.
A bearish synthetic trend is insufficient by itself.
The SuperTrend direction must also be bearish.
Once both components agree and the indicator transitions from its previous state, a Sell signal can be displayed.
17. Signal Frequency
Signal frequency depends primarily on three parameters.
HA Period
Controls initial OHLC smoothing.
Higher values generally produce slower synthetic directional changes.
Smooth
Controls final smoothing of the synthetic midpoint trend line.
Higher values produce a smoother displayed trend line.
SuperTrend Factor
Controls volatility-boundary distance.
Higher values generally require a larger price movement before SuperTrend changes direction.
Because these parameters affect different parts of the framework, they should not be interpreted as interchangeable sensitivity controls.
18. Suggested Starting Parameters
The default configuration is:
HA Period: 14
Smooth: 2
ATR Period: 2
Factor: 2.0
These values provide a relatively responsive configuration.
Users working with particularly noisy instruments or very short timeframes may wish to test:
longer HA Periods;
longer ATR Periods;
larger SuperTrend Factors.
Users wanting faster response can experiment with smaller values.
No parameter combination is universally optimal.
19. Trend Line vs Signal
The main synthetic trend line and the Buy/Sell signals should not be interpreted as the same feature.
The trend line continuously reflects the synthetic structure.
Signals require additional SuperTrend agreement.
Therefore, the trend line can change directional state before a Buy or Sell label appears.
This difference is intentional.
20. Alerts
The indicator provides two alert conditions:
Buy Signal
Sell Signal
The Buy alert corresponds to a new bullish combined state.
The Sell alert corresponds to a new bearish combined state.
Alerts indicate only that the programmed conditions have been met.
They do not constitute independent trade recommendations.
21. Real-Time Behavior
The indicator evaluates information from the currently developing candle.
Consequently, conditions can evolve while a live candle is still open.
For traders who require confirmed signals, the safest interpretation is to evaluate the signal after the corresponding chart candle has closed.
The indicator should therefore not be marketed as universally non-repainting without additional restrictions or testing.
Historical conditions are naturally evaluated using completed bars, while a live candle can still change before closure.
22. No Higher-Timeframe Data Dependency
The current version does not request external symbols or higher-timeframe series.
Its calculations are based on the OHLC and volatility information of the chart on which it is applied.
This makes the indicator simpler than a multi-timeframe framework, but its behavior will still differ substantially according to the selected chart timeframe.
23. Timeframe Considerations
On lower timeframes:
market noise is greater;
synthetic trend changes may occur more frequently;
short ATR periods are more reactive;
SuperTrend reversals can occur more often.
On higher timeframes:
signals generally develop more slowly;
each transition represents a larger amount of underlying price movement.
Parameter values should therefore be evaluated independently for each timeframe and market.
24. Limitations
Alpha Trend Hunter is a reactive trend indicator.
It does not predict future price.
The underlying calculations use:
historical price;
current price;
moving averages;
ATR;
recursive synthetic values.
These calculations inherently react after price information becomes available.
A stronger degree of smoothing generally decreases noise but also increases lag.
25. Sideways-Market Limitation
The indicator is fundamentally trend-oriented.
During sideways or rapidly alternating conditions, both synthetic trend calculations and SuperTrend can produce repeated directional transitions.
The dual-confirmation requirement can reduce some isolated changes, but it cannot eliminate whipsaw risk.
The indicator does not contain a dedicated ADX or market-regime filter in its current version.
26. Risk Management
The indicator does not calculate:
position size;
account risk;
stop-loss placement;
reward/risk targets;
portfolio exposure.
Users must determine risk independently.
A Buy or Sell label indicates only a transition in the indicator's defined directional state.
27. What Alpha Trend Hunter Does Not Do
Alpha Trend Hunter does not:
execute orders;
connect to a brokerage account;
manage positions;
guarantee profitable signals;
predict exact tops or bottoms;
guarantee trend continuation;
identify institutional activity;
determine appropriate leverage;
determine individualized risk.
It is a technical-analysis and trend-visualization tool.
28. Intended Use
A practical workflow is:
use the synthetic trend line to observe the underlying smoothed direction;
observe the SuperTrend volatility regime;
wait for agreement between both components;
use the Buy/Sell transition as confirmation that a new combined state has formed;
evaluate market structure and personal risk independently before making any trading decision.
The indicator is designed to answer:
“Are smoothed price structure and volatility-adjusted trend currently pointing in the same direction?”
rather than:
“Will the next trade be profitable?”
Educational Purpose
Alpha Trend Hunter is intended for technical analysis, research and educational use.
Users should independently consider:
price structure;
volatility;
liquidity;
economic events;
timeframe;
execution conditions;
risk management.
Historical signals do not guarantee future results. Indicator
