Student Wyckoff Multi MA ChannelsSTUDENT WYCKOFF Multi MA Channels puts all major moving averages and their dynamic channels into one compact tool.
It is designed for traders who work with trend, structure and volatility, and want a clean way to compare different MAs on price.
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1. Concept
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Instead of adding several separate indicators to the chart, this script lets you:
• choose the type of moving average,
• optionally plot a second MA for comparison,
• and build a volatility or percent-based channel around each line.
The goal is not to create automatic signals, but to give you a flexible “trend and context layer” that works together with your own price action, Wyckoff logic and volume analysis.
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2. Moving averages inside the script
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The following MA types are available from a single dropdown:
• SMA – Simple Moving Average
• EMA – Exponential Moving Average
• WMA – Weighted Moving Average
• RMA – Relative/Smoothed Moving Average (SMMA)
• VWMA – Volume-Weighted Moving Average
• HMA – Hull Moving Average
• ALMA – Arnaud Legoux Moving Average
• LinReg – Linear Regression line
You can configure:
• source (default: close),
• length of the main MA,
• optional second MA with its own type and length,
• colors for both lines and their channels.
This makes it easy to compare, for example, EMA 50 vs SMA 200, or VWMA vs HMA, without loading multiple separate indicators.
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3. Channels around each MA
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For both the main and the second MA, you can enable a channel and choose how it is calculated:
Channel mode:
• None – no channel, only the moving averages.
• ATR – upper/lower band = MA ± ATR * multiplier.
• Percent – upper/lower band = MA ± N% of the MA value.
Inputs let you control:
• ATR length and multiplier,
• percent width for Percent mode,
• whether to show only the lines, only the fill, or both.
Each MA has its own color and its own semi-transparent fill, so you clearly see two separate “pipes” around the price if you use two MAs at the same time.
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4. Practical use cases
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This script can help you:
• Identify trend direction and strength
– The main MA acts as a core trend filter.
– The second MA can show a slower “background trend” or a faster signal line.
• Visualize dynamic support and resistance
– Price often reacts to MA + channel as a dynamic zone rather than a single line.
– ATR mode automatically widens/narrows the channel when volatility changes.
• Work with stops and targets
– ATR channels can be used as a visual guide for dynamic stop placement or “stretch zones” where price is extended away from the mean.
– Percent channels show how far price deviates from the chosen MA in relative terms.
• Combine with Wyckoff / volume logic
– Use MA + channel only as a context: where is the midline of the move, where is price overextended, where do reactions hit support/resistance zones?
– Decisions to enter or exit should still be based on the story of price, volume and higher-timeframe structure.
The indicator is not a complete trading system. It is a visual framework that helps you read trend, volatility and mean-reversion potential more clearly.
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5. Notes and disclaimer
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• Works on any symbol and timeframe supported by TradingView.
• There are no repaint tricks inside – the script uses standard built-in functions for moving averages and ATR. The last bar can change in real time as new data comes in, which is normal behaviour for any MA.
This script is published for educational and analytical purposes only. It does not provide financial or investment advice and
頻帶和通道
online Moment-Based Adaptive Detection🙏🏻 oMBAD (online Moment-Based Adaptive Detection): adaptive anomaly || outlier || novelty detection, higher-order standardized moments; at O(1) time complexity
For TradingView users: this entity would truly unleash its true potential for you ‘only’ if you work with tick-based & seconds-based resolutions, otherwise I recommend to keep using original non-online MBAD . Otherwise it may only help with a much faster backtesting & strategy development processes.
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Main features :
O(1) time complexity: the whole method works @ O(1) time complexity, it’s lighting fast and cheap
HFT-ready: frequency, amount and magnitude of data points are irrelevant
Axiomatic: no need to optimize or to provide arbitrary hyperparameters, adaptive thresholds are completely data-driven and based on combination of higher-order central moments
Accepts weights: the method can gain additional information by accepting weights (e.g. volume weighting)
Example use cases for high-frequency trading:
Ordeflow analysis: can be applied on non-aggregated flow of market orders to gauge its imbalance and momentum
Liquidity provision: can be applied to high-resolution || tick data to place and dynamically adjust prices of limit orders
ML-based signals: online estimates of higher-order central moments can be used as features & in further feature engineering for trading signal generation
Operation & control: can be applied on PnL stream of your strategy for immediate returns analysis and equity control
Abstract:
This method is the online version of originally O(n) MBAD (Moment-Based Adaptive Detection) . It uses higher-order central & standardized moments to naturally estimate data’s extremums using all data while not touching order-statistics (i.e. current min and max) at all. By the same principles it also estimates “ever-possible” values given the data-generating process stays the same.
This online version achieves reduced time complexity to O(1) by using weighted exponential smoothing, and in particular is based on Pebay et al (2008) work, which provides mathematically correct results for the moments, and is numerically stable, unlike the raw sum-based estimates of moments.
Additionally, I provide adjustments for non-continuous lattice geometry of orderbooks, and correct re-quantization math, allowing to artificially increase the native tick size.
The guidelines of how to adjust alpha (smoothing parameter of exponential smoothing) in order to completely match certain types of moving averages, or to minimize errors with ones when it’s impossible to match; are also provided.
Mathematical correctness of the realization was verified experimentally by observing the exact match with the original non-recursive MBAD in expanding window mode, and confirmed by 2 AI agents independently. Both weighted and non-weighted versions were tested successfully.
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^^ On micro level with moving window size 1
^^ With artificial tick size increase, moving window size 64
^^ Expanding window mode anchored to session start
^^ Demonstrates numerical stability even on very large inputs
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Momentum Gamma StraddleExact definition of what that script does
1) Purpose
The script is a decision aid for intraday expiry-day ATM straddle trades. It detects intraday structure breakouts and signals candidate long straddle entries for Nifty or Sensex using price structure, volume, RSI momentum, and a user-supplied combined ATM premium value (CE + PE). It draws support/resistance, shows an info box, and raises alerts.
2) Inputs the user can change
Trading time window: startHour, startMin, endHour, endMin.
Structure lookback: res_lookback (how many candles to use to compute resistance/support).
Minimum candle body as fraction of candle range: min_body_pct.
Volume multiplier threshold: vol_mult (breakout candle volume must exceed vol_mult * sma5).
RSI length and thresholds: rsi_len, rsi_bull_thresh, rsi_bear_thresh.
Combined premium source: choose Manual or Symbol. If Manual, set manual_combined. If Symbol, provide a TradingView symbol that returns CE+PE combined ATM premium.
Combined premium acceptable band: min_combined_ok and max_combined_ok.
Profit target percent and SL percent (target_pct and sl_pct).
Misc pattern heuristics: min_res_hits (min tests of resistance inside lookback), low_slope_min (used to detect rising lows).
Micro-confirmation toggle, micro timeframe, nonrepaint option, show_entry_label toggle (in the later fixed versions some of these were added, but the earlier fixed script had basic combined_symbol options and a lookahead fallback).
3) Data calculated on each bar
Safety check hasEnough: true when bar_index >= res_lookback.
resistance: the highest high over res_lookback bars.
support: the lowest low over res_lookback bars.
res_hits: count of bars within lookback whose high is within a tolerance of resistance. Tolerance is 10 percent of the range between resistance and support.
low_slope: simple slope of lows over res_lookback bars.
body_pct: the candle body as a fraction of its high-low range. strong_body true when body_pct >= min_body_pct.
bull_breakout: true if hasEnough and current close > resistance and strong_body and res_hits >= min_res_hits.
bear_breakout: true if hasEnough and current close < support and strong_body and res_hits >= min_res_hits.
vol_sma5 and vol_ok: vol_ok true when current volume > vol_mult * vol_sma5.
rsi and rsi checks: rsi_bull_ok true if rsi >= rsi_bull_thresh; rsi_bear_ok true if rsi <= rsi_bear_thresh.
combined_premium: either the manual_combined input or the value read from combined_symbol via request.security. The script attempted a fallback to manual when the symbol was not valid.
combined_ok: true if combined_premium lies between min_combined_ok and max_combined_ok.
final signals: bull_signal when in_time_window and bull_breakout and vol_ok and rsi_bull_ok and combined_ok. bear_signal similar for bearish breakout.
4) Visual output and alerts
Plots resistance and support lines on the chart.
Plots a label shape "STRADDLE BUY" below the bar for bull_signal and above the bar for bear_signal.
Creates an info label (on last bar) that shows TimeOK, VolOK and vol ratio, RSI, Combined premium and whether it is OK, ResHits and LowSlope.
Sets two alertcondition events: "Bull Straddle BUY" and "Bear Straddle BUY" with a short candidate message. The alerts fire when the corresponding signal is true.
5) Execution assumptions you must follow manually
The script does not place any orders or compute option strike-level prices or greeks. It only flags candidate entry bars.
When combined_source is Manual you must type CE+PE yourself. The indicator will only accept the manual number and treat it as the combined premium.
When combined_source is Symbol the script uses request.security to read that symbol. For historical bars the indicator may repaint depending on lookahead settings. The earlier fixed script attempted to use request.security inside a conditional which leads to runtime or compile errors. You experienced that exact error.
6) Known implementation caveats and bugs you encountered
Pine typing issue with low_slope. The earlier version set low_slope = na without explicit type. That triggers the Pine error: "Value with NA type cannot be assigned to a variable that was defined without type keyword". This required changing to float low_slope = na.
The earlier version attempted to call request.security() inside an if block or conditional. Pine prohibits request.security in conditional blocks unless allowed patterns are followed. That produced the error you saw: "Cannot use request.* call within loops or conditional structures" or similar. The correct pattern is to call request.security at top-level and decide later which value to use.
If combined_symbol is invalid or not available on your TradingView subscription, request.security can return na and the script must fall back to manual value. The earlier fixed script attempted fallback but compiled errors prevented reliable behavior.
The earlier script did not include micro-confirmation or advanced nonrepaint controls. Those were added in later versions. Because of that, the earlier script may have given signals that appear to repaint on historical bars or may have thrown errors when using combined_symbol.
7) Decision logic summary (exact)
Only operate if current chart time is inside user set time window.
Only consider trade candidates when enough history exists for res_lookback.
Identify a resistance level as the highest high in the lookback. Count how many times that resistance was tested. Ensure the breakout candle has a strong body and volume spike. Ensure RSI is aligned with breakout direction.
Require combined ATM premium to be inside a user preferred band. If combined_symbol is used the script tries to read that value and use it; otherwise it uses manual_combined input.
If all the above conditions are true on a confirmed bar, the script plots a STRADDLE BUY label and triggers an alertcondition.
8) What the script does not do
It does not calculate CE and PE prices by strike. It only consumes or accepts combined premium number.
It does not compute greeks, IV, or OI. OI and IV checks must be done manually.
It does not manage positions. No SL management or automatic exits are executed by the script.
It does not simulate fills or account for bid/ask spreads or slippage.
It cannot detect off-exchange block trades or read exchange-level auction states beyond raw volume bars.
It may repaint historical labels if the combined_symbol was read with lookahead_on or the script used request.security in a way that repainted. The corrected final version uses nonrepaint options.
9) Manual checks you must always perform even when the script signals BUY
Confirm the live combined ATM premium and the bid/ask for CE and PE.
Check ATM IV and recent IV movement for a potential IV crush risk.
Check option OI distribution and recent OI changes for strike pinning or large player exposure.
Confirm CE and PE liquidity and depth. Wide spreads make fills unrealistic.
Confirm there is no scheduled news or auction within the next few minutes.
Confirm margin and position sizing fits your risk plan.
10) Quick testing checklist you can run now
Add the script to a 5-minute chart with combined_source = Manual.
Enter manual_combined equal to the real CE+PE at the moment you test.
Set startHour and endHour so the in_time_window is true for current time.
Look for STRADDLE BUY label on confirmed bars. Inspect the info box to see why it did or did not signal.
If you set combined_source = Symbol, verify the symbol exists and that TradingView returns values for it. If you previously saw the request.security error, that was caused by placing the request inside a conditional. The correct behavior is to call request.security unconditionally at top-level like in the final fixed version.
BVWY Stamp WatermarkOverview
This script creates a clean, compact watermark “stamp” for your charts — combining a custom title/subtitle with symbol info (ticker, timeframe, date) in one neat block. It’s designed for traders and educators who want their charts branded and professional without clutter.
Features
• 🖋️ Customizable title and subtitle (default: RICH BVYWY)
• 📊 Symbol info line with independent toggles for ticker, timeframe, and date
• 🎨 Full control over colors, sizes, alignment, and background opacity
• 📍 Position anywhere on the chart (top/middle/bottom, left/center/right)
• 🪶 Lightweight and efficient — no redundant tables or clearing logic
Use Cases
• Branding your shared charts with a signature watermark
• Teaching and documentation — stamp your visuals with context and identity
• Clean overlays for presentations, reports, or social media posts
Notes
This script is built with Pine Script v5 and follows TradingView’s style guide for clarity and efficiency. It’s streamlined to overwrite cells each bar, ensuring smooth performance without flicker or lag
Two individual BB - AxeThis indicator combines two Bollinger Bands into a single script, designed for traders who utilize dual-band strategies but want to keep their chart and indicator list clean.
Instead of adding two separate indicators, this script allows you to manage two Bollinger Bands within one interface. It maintains the full flexibility of the classic Bollinger Bands while adding independent toggles for better visibility control.
Long an Short Liq filter rev 3.0 /nnaCan help you to see horizontal Liquidation maps on cryptocurrency market. Script created to help you with EP. Calibration parameters for different coins could be different. Write me in Dm. i can help you with that
BALA'S Indicator - Dynamic + 5-Min + Pre-Market LevelsINTRADAY Strategy on Nifty with 15min Candle Setup.
CloudScore by ExitAnt [Upgrade]📘 CloudScore PRO by ExitAnt (v13)
CloudScore PRO는 일목균형표(REAL Ichimoku Cloud)의 ‘진짜 상방 돌파’만을 감지하고,
여기에 총 10가지 추세·모멘텀·패턴·거래량 요소를 점수화하여 (0~9점)
현재 추세 전환의 강도를 직관적으로 알려주는 고급 추세 분석 지표입니다.
일목 구름은 본래 강력한 추세 전환 신호를 제공하지만
“위→안→위” 또는 “부분 돌파” 같은 왜곡 신호가 매우 많습니다.
v13은 이를 완전히 제거하고,
오직 아래→안→위 또는 아래→위(직통) 형태의 ‘진짜 돌파’에서만 점수를 계산합니다.
🎯 지표 목적
* 진짜 일목구름 돌파만 필터링하여 신뢰도 상승
* 10개 기술 요소의 점수화(0~9점)로 한눈에 추세 강도 판단
* 거짓 진입 신호(위→안→위) 완전 제거
* 점수 0일 때도 ‘🔴’로 명확하게 무효 신호 표시
* 초보자부터 숙련자까지 모두 활용 가능한 추세 진입 필터링 지표
🧠 점수 계산 방식 (가중치 기반)
구름 돌파가 유효하게 발생하면,
아래 10가지 조건을 체크하여 각 항목별 가중치 점수가 합산됩니다.
▶ 기존 +1 점 항목 (5개)
1. 골든 크로스 발생
Fast MA가 Slow MA를 최근 N봉 내 상향 돌파
2. RSI 과매도 구간
RSI < 설정값 → 반등 가능성 증가
3. MACD 강세 전환
MACD < 0 & 시그널 상향 돌파
4. RSI 상승 다이버전스
가격 하락, RSI 상승 → 바닥 가능성
5. 종가 > MA200
장기 추세와 일치하는 경우만 점수 강화
▶ 신규 +1 점 항목 (추가 5개)
6. ADX > 20 (추세 강도)
추세가 실제로 형성되고 있을 때
7. 거래량 스파이크 발생
거래량이 평균 대비 일정 배수 이상 증가 → 큰 매수 유입
8. Stochastic Oversold Cross
%K < 30에서 골든크로스 → 저점 반등 신호
9. Bollinger Band Rebound
이전 봉이 하단 밴드를 이탈하고, 현재 봉이 중심선을 회복한 경우
10. 강세 캔들 패턴 (Bullish Engulfing / Hammer 등)
강한 반전 패턴 발생 시
> 점수는 단순 +1 합산이 아니라
> 각 요소의 중요도에 따른 가중치 합산 방식으로 계산됩니다.
📊 점수별 이모지 (8단계)
| 점수 구간 | 이모지 | 의미 |
| -------- | ------ | -------------- |
| ≤ 0 | 🔴 | 무효 신호 |
| 0 ~ 1 | ⚪ | 매우 약함 |
| 1 ~ 2 | 🟡 | 약함 |
| 2 ~ 3 | 🟢 | 관찰 필요 |
| 3 ~ 4 | 🔵 | 양호 |
| 4 ~ 5 | 📈 | 추세 형성 |
| 5 ~ 6.5 | 🚀 | 매우 강함 |
| **6.5+** | **👑** | **최상급 고신뢰 구간** |
> 👑 이모지는 6.5점 초과에서만 표시되며,
> 여러 핵심 조건이 동시에 충족된 극소수 구간에서만 나타납니다.
🖥 차트 표시 요소
* REAL Ichimoku Cloud(미래 이동 없는 실제 구름)을 기반으로 계산
* TRUE breakout(아래 → 위 돌파) 시 캔들 위에 점수 이모지 표시
* 최근 N개의 캔들만 표시 가능
* 우측 상단에 현재 점수 요소 설명 패널 표시
* 점수 0점일 때도 🔴 표시하여 신호의 부재를 명확히 표현
* 위→안→위처럼 잘못된 돌파는 완전히 제외됨
🔧 사용자 설정
* Tenkan / Kijun / SenkouB 기간 설정
* 점수 요소 개별 활성화/비활성화
* 이모지 커스터마이즈
* 최근 몇 개의 캔들까지 표시할지 설정
* MA, RSI, MACD, ADX, Bollinger 등 점수 요소 사용자 정의 가능
⚠️ 유의사항
이 지표는 일목구름 돌파 기반의 확률적 보조 도구이며,
단독으로 매수·매도 결정을 내리는 용도로 사용해서는 안 됩니다.
* 시장 변동성
* 시간 프레임
* 거래량 환경
에 따라 신호 강도는 달라질 수 있습니다.
실제 매매 적용 전 반드시 백테스트 및 시뮬레이션을 권장합니다.
오케이. 그럼 **지금 네 코드(v13, 가중치 + 8단계 이모지 기준)** 와
**완전히 1:1로 맞는 영어 설명 최종본**을 줄게.
(퍼블릭 배포용으로 그대로 써도 되는 수준)
# 📘 **CloudScore PRO by ExitAnt (v13)**
CloudScore PRO is an advanced **Ichimoku-based trend scoring indicator**
that detects only **true, valid Ichimoku Cloud breakouts** and evaluates the
strength of the trend using a **weighted score system built from 10 technical components**.
Unlike standard Ichimoku signals — which often generate distorted breakouts such as
**“above → inside → above”** —
CloudScore PRO v13 **filters these out completely** and only accepts the following structures as valid breakouts:
* **below → inside → above**
* **below → above (direct breakout)**
This ensures that scoring is applied **only when a genuine trend transition occurs**.
## 🎯 Purpose of the Indicator
* Filter out false Ichimoku Cloud breakouts
* Evaluate trend strength using **10 weighted confirmation signals**
* Visualize trend quality instantly using **8-stage emoji scoring**
* Clearly mark invalid signals (score ≤ 0)
* Serve as a robust **entry filter** for both beginners and advanced traders
## 🧠 Scoring Logic (Weighted System)
When a valid cloud breakout occurs, CloudScore PRO evaluates the following
10 components and **adds weighted scores based on their importance**.
### ▶ Core Trend & Momentum Components (5)
1. **Golden Cross**
* Fast MA crosses above Slow MA within the defined lookback period
2. **RSI Oversold Condition**
* RSI below threshold, indicating potential reversal
3. **MACD Bullish Shift**
* MACD below zero with bullish signal-line crossover
4. **RSI Bullish Divergence**
* Price makes a lower low while RSI makes a higher low
5. **Close Above MA200**
* Price aligned with the long-term trend direction
### ▶ Additional Confirmation Components (5)
6. **ADX Trend Strength**
* Confirms that a real trend is forming
7. **Volume Spike**
* Significant increase in trading volume vs average
8. **Stochastic Oversold Cross**
* %K crosses upward below the 30 level
9. **Bollinger Band Rebound**
* Price recovers after breaking below the lower band
10. **Bullish Candlestick Pattern**
* Engulfing, Hammer, or similar reversal patterns
> Scores are **not simple +1 increments**.
> Each component contributes a **weighted value**, reflecting its real-world importance.
## 📊 Emoji Score System (8 Levels)
| Score Range | Emoji | Meaning |
| ----------- | ------ | ---------------------------------- |
| ≤ 0 | 🔴 | Invalid / no signal |
| 0 ~ 1 | ⚪ | Very weak |
| 1 ~ 2 | 🟡 | Weak |
| 2 ~ 3 | 🟢 | Moderate |
| 3 ~ 4 | 🔵 | Decent |
| 4 ~ 5 | 📈 | Trend forming |
| 5 ~ 6.5 | 🚀 | Very strong |
| **6.5+** | **👑** | **Premium, high-confidence setup** |
👑 **The crown emoji appears only when the total weighted score exceeds 6.5**,
meaning multiple high-importance conditions are aligned simultaneously.
This prevents “emoji inflation” and ensures that premium signals remain rare and meaningful.
## 🖥 Chart Features
* Uses **REAL Ichimoku Cloud** (no future displacement)
* Displays score emojis directly on breakout candles
* Supports LONG / SHORT / BOTH modes
* Optional display limited to the most recent N bars
* Top-right panel explains scoring structure and logic
* Completely ignores false breakouts (above → inside → above)
## 🔧 User Options
* Adjust Ichimoku, MA, RSI, MACD, ADX parameters
* Enable or disable individual scoring components
* Fully customize emoji symbols
* **Display only signals above a chosen minimum score**
* e.g. show only 👑 setups by setting minimum score to 6.5
## ⚠️ Disclaimer
CloudScore PRO is a **probability-based trend evaluation tool**,
not a standalone buy or sell signal.
Signal strength may vary depending on:
* Market volatility
* Timeframe
* Volume environment
Always perform proper backtesting and apply sound risk management
before using this indicator in live trading.
JH MantraBAND-C + AlphaWave Signals v1.3 (Clean)AlphaWave는 추세 + 눌림 + 반전을 하나의 흐름으로 묶은 트레이딩 시그널입니다.
• 20 HMA 기반 추세 판단
• 변동성 밴드 구간(상·하단)에서의 눌림/되돌림 포착
• 과도한 신호를 줄이고 확률 높은 구간만 표시
권장 타임프레임:
- 3분 / 5분 (단타, 스캘핑)
- 일봉 (추세 확인용)
※ 이 지표는 신호 남발을 피하고,
‘기다렸다가 들어가는 매매’를 목표로 설계되었습니다.
AlphaWave is a trend-following indicator designed to capture pullbacks and reversals within volatility zones.
• 20 HMA based trend structure
• Upper / lower volatility bands for context
• Filtered signals to reduce noise
Best used on:
- 3m / 5m intraday charts
- Daily charts for trend confirmation
This indicator focuses on patience and high-probability setups.
Bollinger Bands Forecast [QuantAlgo]🟢 Overview
Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes.
🟢 How It Works
The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart.
🟢 Key Features
1. Market Structure Model
This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns.
When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility.
Practical Implications for Traders:
Useful when you trade based on swing points and structural breaks
The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend
Helps visualize where bands could form around key structural levels you're watching
Works better in trending conditions where structure patterns are clearer
Might be less effective in choppy, sideways markets without defined swings
2. Volume-Weighted Model
This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it.
Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative.
Practical Implications for Traders:
Relevant if you use volume analysis to confirm price moves
More meaningful in markets with reliable volume data
The Volume Influence parameter (0 to 1) controls how much volume factors into the projection
Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume
Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation
Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable
3. Linear Regression Model
The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars?
Practical Implications for traders:
Provides a neutral, mathematical baseline for comparison
Works well when trends are steady and consistent
Can be useful for backtesting since results are deterministic
Requires minimal configuration beyond lookback period
Might not adapt to changing market conditions as dynamically as the other methods
Best suited for trending markets rather than ranging or volatile conditions
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with:
▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there
▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup)
▶ Target setting: Reference projected band levels when determining profit targets or stop placement
▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme
▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move
▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion
▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter
It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Regime EngineRegime Engine
Overview
Regime Engine is a market regime detection system that classifies price action into bullish, bearish, or neutral states using weighted exponential moving average analysis. Once the regime is identified, the indicator generates buy and sell signals based on Donchian channel breakouts, filtered by ADX trend strength and RSI momentum conditions.
The Money Line
The core of regime detection is the Money Line, a weighted combination of two exponential moving averages. By default, the short EMA (8 periods) receives 60% weight while the long EMA (24 periods) receives 40% weight. This weighting allows the Money Line to be more responsive than a simple long-period average while remaining smoother than a short-period average alone.
The Money Line changes color based on the current regime: green for bullish, red for bearish, and yellow for neutral. This provides immediate visual feedback about the market state.
Regime Classification
The indicator determines market regime by comparing the relative positions of the short and long EMAs while also considering RSI levels to avoid classifying overbought or oversold conditions as trend states.
Bullish regime is identified when the short EMA is above the long EMA and RSI is not in overbought territory. This combination suggests upward momentum that is not yet exhausted.
Bearish regime is identified when the short EMA is below the long EMA and RSI is not in oversold territory. This indicates downward momentum with room to continue.
Neutral regime applies when the EMAs are close together or RSI conditions prevent trend classification. The indicator provides two optional methods for enhanced neutral detection.
Neutral Zone Detection
Markets often transition through periods where trend direction is unclear. The indicator offers two complementary methods for detecting these neutral zones.
The slope method examines the rate of change of the Money Line relative to ATR. When the Money Line is moving slowly (slope below a tolerance threshold), the market is classified as neutral regardless of EMA positioning.
The EMA distance method calculates the percentage distance between the short and long EMAs. When they are within a specified percentage of each other, the EMAs are considered too close to reliably indicate direction.
Either or both methods can be enabled, and if either triggers, the regime is classified as neutral.
Donchian Channel Signals
Buy and sell signals are generated when price interacts with the Donchian channel boundaries. The Donchian channel plots the highest high and lowest low over a lookback period (default 20 bars), offset by one bar to prevent repainting.
Buy signals trigger when price touches or breaks below the lower Donchian band, indicating a potential support level. Sell signals trigger when price touches or breaks above the upper Donchian band, indicating potential resistance.
An optional setting requires the close to confirm the break rather than just the wick, providing more conservative signal generation.
ADX Trend Strength Filter
The Average Directional Index filters signals to ensure they occur during trending conditions. When enabled, signals only fire if ADX exceeds the threshold (default 24), confirming that the market has sufficient directional momentum for breakout trades to succeed.
The indicator uses Wilder's original smoothing method for ADX calculation, providing the traditional interpretation of trend strength values.
RSI Momentum Filter
RSI provides additional signal filtering to ensure entries occur at favorable momentum levels. Buy signals require RSI to be at or below the oversold threshold (default 30), indicating potential exhaustion of selling pressure. Sell signals require RSI to be at or above the overbought threshold (default 70), suggesting exhaustion of buying pressure.
These filters can be disabled for traders who prefer unfiltered Donchian breakout signals.
BBWP Volatility Monitoring
Bollinger Band Width Percentile measures current volatility relative to its historical range. The indicator calculates BB width and ranks it against the specified lookback period (default 252 bars, approximately one trading year).
BBWP above 70% indicates elevated volatility, which may signal trend acceleration or potential reversals. BBWP below 30% indicates compressed volatility, often preceding significant moves. The information panel displays the current BBWP reading with color coding to highlight these conditions.
Signal Cooldown
To prevent signal clustering during extended breakout periods, a configurable cooldown prevents new signals of the same type for a specified number of bars after each signal. This ensures each signal represents a distinct trading opportunity.
Visual Components
The Donchian channel can display shaded bands between the upper and lower boundaries. The shading color reflects the current regime: green for bullish, magenta for bearish, and blue for neutral. This provides at-a-glance context for where price is trading within its recent range.
An ADX strength bar at the bottom of the chart uses color coding: white for weak trend (ADX below 15), orange for ranging (ADX 15-24), and blue for trending (ADX above 24). This matches the trend strength display in the information panel.
Price labels appear at signal locations showing the signal type and entry price. Labels are automatically cleaned up after reaching a configurable history limit to maintain chart performance.
Signal candles are highlighted in blue, making it easy to identify exactly which bars generated signals when reviewing historical performance.
Information Panel
A compact table displays key metrics: current regime bias, trend strength classification, BBWP volatility reading, RSI level, and ADX value. Each metric is color-coded to highlight favorable or unfavorable conditions.
The panel can be positioned at any corner or middle edge of the chart. An alternative label-based display anchored to the chart is also available for those who prefer that format.
Trend Persistence Option
By default, the regime is recalculated on every bar. An optional persistence mode changes this behavior so that the regime only changes on EMA crossovers. This reduces regime flipping during choppy conditions but may delay regime recognition during gradual trend changes.
How to Use
Monitor the Money Line color and information panel for current regime. In bullish regimes, focus on buy signals at the lower Donchian band as potential pullback entries. In bearish regimes, focus on sell signals at the upper band as potential short entries or exit points.
Use the ADX strength indicator to gauge signal reliability. Signals during trending conditions (blue ADX bar) have historically higher success rates than signals during ranging conditions (orange bar) or weak trends (white bar).
Watch BBWP for volatility context. Low BBWP readings suggest a significant move may be developing, while high readings indicate the current move may be overextended.
The combination of regime awareness, Donchian breakout signals, and ADX/RSI filtering provides a structured approach to identifying trading opportunities across different market conditions.
Settings Guidance
The default settings work well for cryptocurrency and forex markets on intraday timeframes. For stocks or longer timeframes, consider increasing the EMA periods and Donchian lookback. The ADX threshold can be adjusted based on the typical ADX range for the traded instrument.
The RSI filter levels can be relaxed (higher oversold, lower overbought) for more signals or tightened for higher-quality but less frequent signals. The cooldown period should be adjusted based on timeframe, with shorter timeframes typically requiring longer cooldown periods.
Neural Fusion ProNeural Fusion Pro
Overview
Neural Fusion Pro is a multi-factor scoring system that combines numerous technical analysis methods into a single unified score. Rather than requiring traders to monitor multiple indicators separately, this system synthesizes trend strength, momentum oscillators, volume confirmation, price structure, and price action quality into one composite reading that adapts to current market conditions.
The Scoring System
At the heart of this indicator is a weighted scoring algorithm that produces a value between -1.0 and +1.0. Positive scores indicate bullish conditions across the measured factors, while negative scores suggest bearish conditions. The magnitude of the score reflects the strength of conviction across indicators.
The score is calculated from five distinct components, each capturing a different aspect of market behavior. Users can adjust the weight given to each component based on their trading style and market preferences.
Component 1: Trend Strength and Direction
This component uses the Average Directional Index to measure trend strength and the Directional Movement indicators to determine trend direction. When ADX exceeds the trending threshold, indicating a directional market, the component contributes a positive score if the positive directional indicator leads, or a negative score if the negative directional indicator leads. In ranging markets where ADX is low, this component contributes minimally to avoid false trend signals.
Component 2: Multi-Factor Momentum
Rather than relying on a single oscillator, this component synthesizes readings from RSI, MACD histogram, Stochastic, CCI, and Rate of Change. Each oscillator is normalized to a common scale and weighted according to its reliability characteristics. RSI readings are compared against dynamic thresholds that adjust based on trend state, making the indicator more forgiving in uptrends and more demanding in downtrends.
The component also includes divergence detection. When price makes a higher high but RSI makes a lower high (bearish divergence), or when price makes a lower low but RSI makes a higher low (bullish divergence), the divergence score adjusts the momentum component accordingly.
Component 3: Volume Confirmation
Volume provides crucial confirmation of price movements. This component analyzes On-Balance Volume relative to its moving average and measures the slope of OBV to determine whether volume is supporting the price trend. Additionally, it monitors relative volume by comparing current volume to its recent average, adding confirmation when volume spikes accompany price movements.
Component 4: Price Structure and Volatility
This component evaluates where price sits within the dynamic bands and considers the current volatility regime. When price is near the lower band, the component contributes a bullish score, suggesting potential support. When price is near the upper band, it contributes a bearish score, suggesting potential resistance.
The volatility regime assessment uses ATR percentile ranking. Low volatility periods often precede significant moves, while extremely high volatility may indicate unsustainable conditions.
Component 5: Price Action Quality
This component examines the character of recent candles by tracking the ratio of bullish to bearish candles over a lookback period. Consistent bullish price action contributes a positive score, while consistent bearish action contributes negatively. This helps filter signals by confirming that price behavior aligns with other factors.
Dynamic Bands
The indicator plots adaptive bands around a central basis line. The basis can be configured as either a simple or exponential moving average. Band width is determined by ATR multiplied by a dynamic factor that incorporates both ADX (expanding bands in trending markets) and the Chaikin Oscillator (expanding bands during strong accumulation or distribution).
These bands serve multiple purposes: they provide visual context for price position, they define signal trigger zones, and they help identify overextended conditions.
Trend State Detection
The indicator classifies market conditions into three states that affect signal generation and threshold levels.
Strong Uptrend is identified when ADX is rising, ADX exceeds the strong trend threshold, and the positive directional indicator exceeds the negative. This state triggers the most aggressive buy settings, allowing entries on shallow pullbacks.
Downtrend is identified when the negative directional indicator exceeds positive DI and ADX confirms directional movement. This state applies the most conservative buy settings, requiring deep oversold conditions before generating buy signals.
Neutral applies when neither trend condition is met, using moderate threshold settings appropriate for range-bound or transitional markets.
Dynamic RSI Thresholds
A key innovation is the automatic adjustment of RSI thresholds based on trend state. In a strong uptrend, the buy RSI threshold might be set to 50, allowing entries when RSI merely pulls back to neutral rather than requiring oversold conditions. The sell threshold rises to 72, keeping traders in positions longer during favorable conditions.
In downtrends, the buy RSI threshold drops to 25, ensuring buys only trigger on genuine capitulation. The sell threshold drops to 64, making exits easier to trigger.
In neutral markets, traditional oversold and overbought levels apply, with buy triggers around RSI 30 and sell triggers around RSI 68.
This adaptive approach prevents the common problem of indicators that work well in one market environment but fail in others.
Dynamic Cooldown
The signal cooldown period adjusts based on trend strength. During normal conditions, a standard cooldown prevents signal clustering. When ADX exceeds the strong trend threshold and is rising, indicating a powerful trend, the cooldown period extends. This helps traders stay in winning positions longer by reducing the frequency of counter-trend signals.
Cascade Protection
The indicator includes protection mechanisms to prevent overtrading and averaging down into losing positions.
The BBWP (Bollinger Band Width Percentile) monitor tracks current volatility relative to historical levels. When BBWP exceeds a threshold, indicating a volatility spike often associated with sharp moves, all buy signals are frozen. This protects against entering during panic selloffs or blow-off tops.
The consecutive buy counter tracks how many buy signals have occurred without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This prevents the destructive pattern of repeatedly buying a declining asset.
Both protection mechanisms are displayed in the information panel, allowing traders to understand why signals may or may not be firing.
Signal Generation
Buy signals require price to touch or penetrate the lower band, RSI to be below the dynamic threshold, and the market to be in a trending state (when that filter is enabled). Additionally, the cooldown period must have elapsed and cascade protection must not be blocking buys.
Sell signals require price to touch or penetrate the upper band, RSI to be above the dynamic threshold, and the cooldown to have elapsed.
Signal labels display the entry price, signal type (shallow dip, capitulation, extended, bounce sell, or neutral), and the current position in the consecutive buy count.
Visual Components
The indicator provides multiple layers of visual feedback.
Cloud shading between the bands changes based on whether the composite score is in a buy zone or sell zone. Green clouds indicate bullish score readings, while red clouds indicate bearish readings.
Background coloring reflects the overall market regime. Green background indicates a bullish regime (positive DI leadership with volume confirmation), red indicates bearish regime, and white indicates neutral conditions.
An ADX bar at the bottom of the chart uses color coding: white for ranging (very low ADX), orange for flat, and blue for trending conditions.
The information panel displays the composite score with color coding, current trend state, active RSI thresholds, divergence status, BBWP freeze status, buy counter, market regime, ADX value with trend indicator, current cooldown setting, and live RSI reading color-coded against the active thresholds.
A debug panel can be enabled to show the individual component scores, helping users understand what is driving the composite reading.
How to Use
Monitor the composite score in the information panel. Readings above the buy threshold combined with price near the lower band represent potential long entries. Readings below the sell threshold with price near the upper band suggest exit opportunities.
Pay attention to the trend state. In strong uptrends, be more willing to buy dips and more patient with holding positions. In downtrends, require stronger confirmation before entering and be quicker to take profits on bounces.
Watch the cascade protection status. If BBWP shows frozen or the buy counter is approaching maximum, exercise additional caution regardless of other signals.
Use the dynamic RSI thresholds as context. When the panel shows buy RSI threshold at 50 (strong uptrend), even a pullback to RSI 45 is a potential entry. When the threshold shows 25 (downtrend), wait for genuine capitulation conditions.
Component Weight Adjustment
The relative importance of each scoring component can be adjusted through the settings. The default weights emphasize trend strength (30%) and momentum (25%), with volume (20%), price structure (15%), and price action (10%) providing confirmation.
For trend-following strategies, consider increasing trend and momentum weights. For mean-reversion approaches, increase the price structure weight to emphasize band position. The weights should sum to approximately 1.0 for proper score scaling.
Settings Guidance
The default settings are calibrated for cryptocurrency markets on lower timeframes. For traditional markets or longer timeframes, consider adjusting the ADX trending threshold (lower values for less volatile assets), the dynamic RSI levels for each trend state, and the cascade protection parameters.
The Heikin Ashi option for band calculation can provide smoother bands but may introduce slight lag. The default setting uses standard price data for better real-time accuracy.
Helix Protocol 7Helix Protocol 7
Overview
Helix Protocol 7 is a trend-adaptive signal engine that automatically adjusts its buy and sell criteria based on current market conditions. Rather than using fixed thresholds that work well in some environments but fail in others, Helix detects whether the market is in a strong uptrend, neutral consolidation, or downtrend, then applies the appropriate signal parameters for each state. This adaptive approach helps traders buy dips aggressively in confirmed uptrends while requiring much stricter conditions before buying in downtrends.
Core Philosophy
The fundamental insight behind Helix is that the same indicator readings mean different things in different market contexts. An RSI of 45 during a strong uptrend represents a healthy pullback and buying opportunity. That same RSI of 45 during a confirmed downtrend might just be a brief pause before further decline. Helix encodes this context-awareness directly into its signal logic.
The Money Line
At the center of the indicator is the Money Line, which can be configured as either a linear regression line or a weighted combination of exponential moving averages. Linear regression provides a mathematically optimal fit through recent price data, while the weighted EMA option offers more responsiveness to recent price action. The slope of the Money Line determines whether the immediate price trend is bullish, bearish, or neutral, which affects the color of the bands and cloud shading.
Dynamic Envelope Bands
Upper and lower bands are calculated using Average True Range multiplied by a dynamic factor. When ADX indicates trending conditions, the bands automatically widen to accommodate larger price swings. The Chaikin Accumulation/Distribution indicator also influences band width, with strong accumulation or distribution causing additional band expansion. This dual adaptation helps the bands remain relevant across different volatility regimes.
Trend State Detection
Helix classifies market conditions into four distinct states using a combination of ADX behavior and Directional Movement analysis.
Strong Uptrend requires ADX to be rising (gaining momentum), ADX value above a threshold (default 25), and the positive directional indicator exceeding the negative. This combination confirms not just that price is rising, but that the trend is strengthening.
Strong Downtrend uses the same ADX requirements but with the negative directional indicator dominant. This identifies accelerating downward momentum.
Weak Downtrend is detected when ADX is falling (trend losing steam) but negative DI still exceeds positive DI. This often represents the exhaustion phase of a decline.
Neutral applies when none of the above conditions are met, typically during consolidation or when directional indicators are close together.
Adaptive Signal Thresholds
The indicator uses Fisher Transform and RSI as its primary oscillators, but the trigger levels change based on trend state.
During Strong Uptrend, buy conditions are relaxed significantly. The Fisher threshold might be set to 1.0 (only slightly below neutral) and RSI to 50, allowing entries on minor pullbacks within the established trend. Sell conditions are tightened, requiring Fisher above 2.5 and RSI above 70, letting winning positions run longer.
During Neutral conditions, both buy and sell thresholds return to traditional oversold and overbought levels. Fisher must reach -2.0 for buys and +2.0 for sells, with RSI requirements around 30 and 65 respectively.
During Downtrend, buy conditions become very strict. Fisher must reach extreme oversold levels like -2.5 and RSI must drop below 25, ensuring buys only trigger on genuine capitulation. Sell conditions are loosened, allowing exits on any meaningful bounce.
This asymmetric approach embodies the trading principle of being aggressive when conditions favor you and defensive when they do not.
Band Touch Signals
In addition to oscillator-based signals, Helix generates signals when price touches the dynamic bands. A touch of the lower band indicates potential support and generates a buy signal. A touch of the upper band suggests potential resistance and generates a sell signal. These band-based signals work alongside the oscillator signals, providing entries even when Fisher and RSI have not reached their thresholds.
Extreme Move Detection
Sometimes price moves so violently that it penetrates the bands by an unusual amount. Helix measures this penetration depth as a percentage of ATR and can flag these as "extreme" signals. Extreme signals have special properties: they can fire intra-bar (before the candle closes) to catch wick entries, they can bypass normal cooldown periods, and they can optionally bypass volatility freezes. This allows the indicator to capture panic selling events that might be missed by waiting for candle closes.
Cascade Protection System
A critical feature for risk management is the built-in cascade protection that prevents averaging down into oblivion. The system has two components.
First, it tracks Bollinger Band Width Percentile, which measures current volatility relative to its historical range. When BBWP exceeds a threshold (default 92%), indicating a volatility spike often associated with sharp directional moves, all buy signals are temporarily frozen. This prevents entries during the most dangerous market conditions.
Second, it counts consecutive buy signals without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This absolute limit prevents the common mistake of repeatedly buying a falling asset.
The protection status is displayed in the information panel, showing current BBWP level and the consecutive buy count.
RSI Divergence Detection
Helix includes automatic detection of RSI divergences, which often precede trend reversals. Regular bullish divergence occurs when price makes a lower low but RSI makes a higher low, suggesting weakening downside momentum. Regular bearish divergence is the opposite pattern at tops. Hidden divergences, which suggest trend continuation rather than reversal, are also detected and can be displayed optionally. Divergence lines are drawn directly on the price chart connecting the relevant pivot points.
Signal Cooldown
To prevent signal clustering and overtrading, a configurable cooldown period prevents new signals for a set number of bars after each signal. This ensures each signal represents a distinct trading opportunity.
Visual Components
The indicator provides comprehensive visual feedback. The Money Line changes color based on slope direction. The cloud shading between bands reflects trend bias. An ADX bar at the bottom of the chart uses color coding to show trend state at a glance: lime for strong uptrend, red for downtrend, white for ranging (very low ADX), orange for flat, and blue for trending but not yet strong.
Price labels appear at signal locations showing the entry or exit price, the trigger type (band touch, uptrend dip, capitulation, etc.), and the current position in the consecutive buy count.
The information panel displays current trend state, divergence status, BBWP freeze status, buy counter, ADX with direction arrow, DI spread, Fisher and RSI values, and the current active thresholds for buy and sell signals. A compact mode is available for mobile devices.
How to Use
In strong uptrends, look for buy signals on pullbacks to the Money Line or lower band. The relaxed thresholds will generate more frequent entries, which is appropriate when trend momentum is confirmed. Consider letting sell signals pass if the trend remains strong.
In neutral markets, treat signals more selectively. Both buy and sell signals require significant oscillator extremes, making them higher-probability but less frequent.
In downtrends, exercise extreme caution with buy signals. The strict requirements mean buys only trigger on major oversold conditions. Respect sell signals promptly, as the loosened thresholds are designed to protect capital.
Always monitor the cascade protection status. If BBWP shows frozen or the buy counter is at maximum, the indicator is warning you that conditions are dangerous for new long entries.
Settings Guidance
The default settings are calibrated for cryptocurrency markets on 5-minute timeframes. For other assets or timeframes, consider adjusting the ADX threshold for strong trend detection (lower for less volatile assets), the Fisher and RSI thresholds for each trend state, and the BBWP freeze level based on the asset's typical volatility profile.
The indicator includes a debug panel that can be enabled to show the detailed state of all conditions, useful for understanding why signals are or are not firing.
MoneyLine CipherMoneyLine Cipher
Overview
MoneyLine Cipher is a trend-following indicator designed to identify high-probability entry and exit points by combining multiple technical analysis methods into a unified signal system. The indicator adapts its behavior based on current market conditions, becoming more aggressive in strong trends and more conservative in choppy or uncertain markets.
Core Concept: The Money Line
At the heart of this indicator is the Money Line, a linear regression line that acts as a dynamic center of price action. Unlike a simple moving average, linear regression fits a straight line through recent prices using least-squares methodology, providing a smoother representation of the underlying trend direction. The slope of this line determines whether the market is in a bullish, bearish, or neutral state.
Dynamic Envelope Bands
The indicator plots upper and lower bands around the Money Line using Average True Range (ATR) as the volatility measure. What makes these bands unique is their adaptive multiplier system. When the ADX (Average Directional Index) indicates a strong trend, the bands automatically widen to accommodate larger price swings and avoid premature exits. In ranging or weak trend conditions, the bands contract to provide tighter entry and exit zones. This dynamic adjustment helps the indicator perform consistently across different market environments.
Trend State Detection
The indicator classifies market conditions into five distinct states: Strong Uptrend, Uptrend, Neutral, Downtrend, and Strong Downtrend. This classification uses three complementary methods working together.
First, the Directional Movement Index (DMI) measures the spread between positive and negative directional indicators. A large positive spread suggests bullish momentum, while a large negative spread indicates bearish pressure.
Second, On-Balance Volume (OBV) confirms whether volume supports the indicated trend direction. For a Strong Uptrend classification, OBV must be rising above its moving average, confirming that buying pressure backs the price movement.
Third, ADX must exceed a minimum threshold for Strong trend classifications, ensuring that only genuinely trending markets receive the Strong designation.
Signal Generation
Buy and sell signals are generated using Fisher Transform and Aroon indicators, but with a crucial enhancement: the trigger thresholds adjust dynamically based on the current trend state.
The Fisher Transform converts price data into a Gaussian normal distribution, making turning points easier to identify. In a Strong Uptrend, the buy threshold relaxes (making buys easier to trigger) while the sell threshold tightens (making sells harder to trigger). This allows traders to stay in winning positions longer during favorable conditions. The opposite applies in downtrends, where the system becomes quick to exit and reluctant to enter long positions.
The Aroon indicator measures how recently price made a new high or low within the lookback period. Combined with Fisher Transform, this dual-confirmation approach reduces false signals that might occur when using either indicator alone.
Band touches also generate signals. When price reaches the lower band, a potential buy zone is identified. When price reaches the upper band, a potential sell zone is flagged.
Cascade Protection System
A key feature is the built-in protection against averaging down into a losing position. The system tracks consecutive buy signals and limits them to a configurable maximum (default: 3). After reaching this limit, no additional buy signals are generated until a sell signal resets the counter. This prevents the common mistake of repeatedly buying during a sustained decline.
Additionally, the indicator monitors Bollinger Band Width Percentile (BBWP), which measures current volatility relative to historical volatility. When BBWP exceeds a threshold (indicating a volatility spike often associated with sharp moves), buy signals are temporarily frozen. This protects against entering during panic selloffs or blow-off tops.
Extreme Move Detection
Sometimes price moves so aggressively that it penetrates the bands by an unusual amount. The indicator detects these extreme moves and can generate signals even during normal cooldown periods. The logic is that an extreme band penetration represents a significant overextension that warrants attention regardless of recent signal history. These extreme signals are visually distinguished from regular signals.
RSI Divergence
The indicator includes RSI divergence detection as an additional confirmation tool. When price makes a lower low but RSI makes a higher low (bullish divergence), it suggests weakening downside momentum and a potential reversal. Bearish divergence (price higher high, RSI lower high) warns of potential tops. Both regular and hidden divergences are detected and marked on the chart.
Signal Cooldown
To prevent overtrading and signal clustering, a configurable cooldown period prevents new signals for a set number of bars after each signal. This spacing ensures that each signal represents a distinct trading opportunity rather than repeated triggers on the same price movement.
Visual Display
The indicator provides a comprehensive information panel showing current trend state, BBWP status, consecutive buy count, ADX reading, Fisher and Aroon values, cooldown status, and current dynamic thresholds. An ADX bar at the bottom of the chart provides quick visual reference for trend strength and direction using color coding.
Signal labels display the entry or exit price along with the current buy count (for buy signals), helping traders track their position sizing.
How to Use
In uptrending markets, look for buy signals near the lower band, particularly when the trend state shows Uptrend or Strong Uptrend. These represent pullback opportunities within an established trend.
In downtrending markets, the indicator naturally reduces buy signals and increases sell sensitivity, helping traders avoid catching falling knives.
In neutral or ranging conditions, signals from both directions are generated with moderate thresholds, suitable for mean-reversion trading within the bands.
Monitor the BBWP and consecutive buy counter in the info panel. If BBWP shows "FROZEN" or the buy counter approaches the maximum, exercise additional caution with new long entries.
Settings Guidance
The default settings are optimized for 5-minute cryptocurrency charts but can be adjusted for other timeframes and assets. Key parameters to consider adjusting include the Money Line length (shorter for more responsive, longer for smoother), ATR multiplier range (wider bands reduce signals but improve accuracy), and the various threshold values for trend classification.
TrendStrike: The Pullback EngineTrendStrike: The Pullback Engine - The Ultimate Pullback entry System
ApexFlow: Sniper Pro is a complete day-trading system designed to filter out market noise and identify high-probability entries. It combines institutional trend filters, structural support & resistance, and volatility checks to ensure you only trade when the odds are stacked in your favor.
🎯 How It Works:
The "King" Filter (EMA 200):
White Line: The script forces you to trade with the major trend.
Rule: If price is Above the White Line, it only looks for LONGS. If Below, it only looks for SHORTS.
The Trend Cloud (SMA 50 vs SMA 100):
🔵 Blue Cloud: Bullish Trend. Look for buys on dips.
🟠 Orange Cloud: Bearish Trend. Look for sells on rallies.
⛔ The "Chop" Safety (ADX Filter):
The system includes an ADX volatility filter. If the market is chopping sideways (ADX < 20), the dashboard will go gray and ALL signals are blocked to save you from fake-outs.
🌊 Structural Support & Resistance:
Purple Lines: Major Resistance zones.
Blue Lines: Major Support zones.
Use these to take profits.
🚀 The Signals (Entry Guide):
The script waits for a Pullback to the trend line (SMA 50) and only fires if the price bounces with strong momentum and volume.
🚀 LONG SIGNAL (Green Rocket):
Trend is UP, Price dipped to the 50 SMA, then bounced with a Green Candle + High Volume.
Exit: A red Stop Loss line is drawn automatically below the candle.
🩸 SHORT SIGNAL (Red Drop):
Trend is DOWN, Price rallied to the 50 SMA, then rejected with a Red Candle + High Volume.
Exit: A green Stop Loss line is drawn automatically above the candle.
📊 The Dashboard:
Located on the left, it gives you a live readout of the market health:
MAJOR TREND: Tells you if you are in an UPTREND or DOWNTREND.
VOLUME: Shows the current candle's volume. It lights up Green for buying pressure and Red for selling pressure.
Kernel EnvelopeKernel Envelope is a non-repainting dynamic band system designed to identify price overextension, trend exhaustion, volatility expansion, and high-probability reversal points.
Using a kernel-based smoothing technique, the indicator builds adaptive upper and lower envelopes that respond fluidly to market structure while maintaining exceptional stability for systematic trading.
These envelopes form the core of the system and allow traders to:
Detect bullish rebounds from the lower band
Detect bearish rejections from the upper band
Filter trend-following entries using volatility context
Identify zones where price is statistically stretched
Highlight exhaustion points during impulsive moves
The indicator also includes an integrated pivot-based trendline engine, which draws dynamic support and resistance levels derived from structural highs and lows.
These lines auto-extend forward and include breakout alerts, making them ideal for breakout traders, liquidity hunters, and structure-based strategies.
Key Features
Fully non-repainting envelope calculation
Adaptive smoothing responsive to market volatility
Clean gold/silver visual theme for maximum clarity
Glow-style rendering for enhanced band visibility
Automatic trendline generation using pivot points
Breakout alerts for upper and lower trendlines
Rebound and rejection alerts on envelope interaction
Works on all markets and timeframes
Whether you trade reversals, breakouts, or trend continuation setups, Kernel Envelope provides a reliable, low-noise framework for identifying high-quality trade signals.
Acknowledgment
This indicator is inspired by the original Nadaraya-Watson Envelope by LuxAlgo, whose work served as the foundation for further research and development.
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Shannon Entropy (Quant Lab)🟦 Shannon Entropy = The level of "order" or "chaos" in the market.
This indicator gives you the answer to the question:
"Is the market currently orderly and understandable, or is it random and chaotic?"
No other classical indicator can accurately show this.
The value of Entropy is between 0 and 1:
⸻
🟩 1) Entropy = 0.0 – 0.3 → Structured, orderly, readable market
During these periods, the price:
• A trend forms • Ranges work clearly • Patterns (head & shoulders, flag, triangle) form smoothly • Systems like Z-score, VWAP, EMA work very cleanly • Data for modeling (algorithmic strategies, ML) is high quality
Think of this region as follows:
The market "works according to rules," it's easy to trade.
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🟧 2) Entropy = 0.3 – 0.7 → Normal behavior region
In this region:
• Neither too orderly nor too chaotic
• Most systems operate at an average rate • We can say the market is healthy
It is tradable; however, the conditions are not perfect.
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🟥 3) Entropy = 0.7 – 1.0 → Chaos / Noise / Manipulation region
This is the MOST DANGEROUS REGION OF THE MARKET.
What happens?
• Prices jump randomly left and right. • Wicks increase excessively. • Fake breakouts multiply. • The win rate of strategies decreases. • Trend-following systems constantly generate "false signals." • Even mean-reversion systems are caught off guard. • ML models learn junk data during these periods. • Generally, news, liquidation cascades, and manipulation periods increase entropy.
This period perfectly illustrates:
"There is no logic in this market right now — it's moving randomly."
Therefore, it's a period where you need to be very careful:
Reduce position size. • Trade less. • Avoid unnecessary risks. • Tighten stop losses. • Don't use leverage.
This is your risk alert panel.
⸻
🔥 The real superpower Entropy gives you: Trend selection and system selection
Entropy → Determines which strategy you will use.
✔ Low Entropy → Trend following or mean-reversion that works like a toy
✔ High Entropy → Even opening a trade is risky
✔ Normal Entropy → Most strategies work
Building a strategy without this information is unprofessional.
⸻
🧠 Critical summary (you can even copy and paste it as a description in TradingView):
Low entropy → market is structured, patterns & trends are reliable
High entropy → market is chaotic, noisy, unpredictable; avoid aggressive trading
Entropy tells you if your strategy has a high chance or low chance of working
⸻
🟦 Signals Entropy gives in practice:
🔹 Entropy is falling →
The market is stabilizing → A major trend or strong move is approaching.
🔹 Entropy is rising →
The market is becoming chaotic → Sudden spike, a period of trading in prayer mode, extra risk.
🔹 Low Entropy + VR > 1 + High ER → FULL TREND MARKET
A true “trend paradise” period.
🔹 Low Entropy + VR < 1 + High FDI → RANGE MARKET
A paradise of mean reversion.
🔹 High Entropy + High VoV → DANGEROUS PERIOD
Big explosions, news, and liquidations happen here.
⸻
⭐ IN SHORT:
Entropy = an indicator of how randomly the market behaves.
• 0–0.3 → regular, good, reliable market
• 0.3–0.7 → normal market
• 0.7–1.0 → chaotic, dangerous market
It tells you at a glance whether you should trade during this period or not.
Lead/Lag Correlation (Quant Lab)How to use it? (Briefly)
• otherSymbol: The asset you think could be the leader
• Example: If you are on a BTC chart → BINANCE:ETHUSDT, TOTAL3, USDT.D etc.
• lagBars:
• If you say 5: You are looking to see if there is a correlation between the movement of the other instrument 5 bars ago and your current movement. • In other words, is the other one leading?
• corr (green/red line):
• Close to +1 → strong positive correlation
• Close to -1 → strong negative correlation
• Close to 0 → no correlation
Lead/Lag interpretation:
• If the correlation is high for a specific lagBars (e.g., 0.7+):
➜ The otherSymbol you chose could be a strong "leader" for your current chart. In other words, its movement 5 bars ago is now explaining yours.
Rolling Skewness & Kurtosis (Quant Lab)🔹 Skewness (Asymmetric Risk)
• Skew > 0 (green) → Right tail heavier:
• More frequent positive extreme movements
• Higher probability of pump/sharp rally
• Skew < 0 (red) → Left tail heavier:
• Higher risk of crash, dump, liquidation
• Skew ≈ 0 → Distribution is symmetrical, neither right nor left side is dominant
🔹 Excess Kurtosis (Intensity of Extreme Movements)
• Kurt > 0 → Fat tails:
• More extreme movements compared to a normal distribution
• Increased risk of unexpected large spikes, flash moves
• Kurt < 0 → Thin tail:
• More “calm” distribution, fewer extreme movements
This pair tells you:
“Which direction could this instrument explode in right now?
and has the intensity of extreme movements increased?”
Fractal Dimension (Katz, Quant Lab)This indicator estimates the Katz Fractal Dimension of the price series over a rolling window.
It computes:
• L = sum of absolute price changes within the window
• d = maximum distance between any point and the first point in the window
• n = window length
Then applies Katz’s formula:
FDI = ln(n) / (ln(n) + ln(d / L))
The resulting Fractal Dimension typically lies between 1.0 and 2.0:
• FDI ≈ 1.0–1.3 → Strong, directional trend (low randomness)
• FDI ≈ 1.3–1.5 → Mixed / transitional behavior
• FDI ≈ 1.5–2.0 → Noisy, choppy, mean-reverting / range market
Variance Ratio & Efficiency Ratio (Quant Lab)1️⃣ Variance Ratio (VR)
Formula:
VR ≈ Var(q-step returns) / (q × Var(1-step returns))
Interpretation:
• VR ≈ 1 → The market is like a random walk; neither trend nor mean-reversion is dominant.
• VR > 1 → Trend behavior is dominant.
• Trend-following systems (EMA, Supertrend, breakout) work better.
• VR < 1 → Mean-reversion is dominant.
• Range/reversal strategies (Z-score, Bollinger fade, RSI reversal) work better.
In short:
• VR > 1 → Trending market
• VR < 1 → Mean-reverting market
This tells you:
“Should I build a trend system or a mean-reversion system for this instrument?”
⸻
2️⃣ Efficiency Ratio (ER)
Formula logic:
ER = |Close_now – Close_n-bars-ago| / Σ|Close_i – Close_{i+1}|
In other words:
• Numerator → Net movement over N bars
• Denominator → Total noise over N bars
Interpretation:
• ER ≈ 1 → The price has moved in almost a straight line in one direction.
→ The trend is very efficient, noise is low.
• ER ≈ 0 → The price has fluctuated a lot but hasn't gone anywhere definitively.
→ A complete noise/range market.
This tells you:
“How clear is the trend in this last N bars, and how much noise is there?”
⸻
🔥 The intelligence provided by both together:
• VR > 1 and ER is high (0.6–1.0) →
➜ Strong, high-quality trend. Golden age for trend-following.
• VR > 1 but ER is low (0.2–0.4) →
➜ Trend exists but there is a lot of noise, many fake movements. • VR < 1 and ER is low →
➜ Net range / sideways market. Ideal for mean-reversion.
Rolling Z-Score (Quant Lab)What does this Z-Score measure?
• src (default = close) → the value of the series you selected
• len → the window you are measuring based on the average of the last few bars
• Z ≈ 0 → price close to the average
• Z > 2 → price 2 standard deviations above the average (extremely positive deviation)
• Z < -2 → 2 standard deviations below the average (extremely negative deviation)
In modern mean-reversion strategies:
• Z > +2 → short / take profit candidate
• Z < –2 → long / dip buy candidate
DR/IDR, fractals, break + EMA Clouds + VWAPThis indicator is a powerful, multi-layered trading tool that combines three distinct forms of market analysis—volume, trend, and opening volatility—onto a single chart.
1. Opening Range Breakout (ORB) System
This is the foundation of the indicator, designed to capture the initial volatility and set key price boundaries for the trading day.
Time Focus: The indicator's primary analysis is centered on a specific, user-defined time period (default is 9:30 AM to 10:30 AM New York Time). Nothing related to the ORB drawing will appear on the chart before this session starts.
Wick High/Low (The Trigger): These lines track the absolute highest and lowest prices reached during the time window. They define the full extent of the initial range and are used to determine when a genuine breakout occurs.
Body High/Low (The Range & Targets): These lines track the highest and lowest open/close prices of the candles within the session. This area forms the central, shaded zone, representing the core consolidation area.
Range Shading: The background between the Body High and Body Low is shaded, but this visual feature only appears during the active forming time window (e.g., 9:30 AM to 10:30 AM) to maintain chart clarity.
Fractals: While the range is forming, the indicator detects 5-bar Williams Fractal patterns that occur inside the range. These small triangles (▲ or ▼) highlight minor reversal points established by the early trading action.
Breakout Signal: After the user-defined time window closes, the indicator waits. If a subsequent candle's price moves above the Wick High or below the Wick Low, a "BREAK" label is displayed on that candle. It is programmed to label only the first decisive break in each direction per day.
Extension Targets: When a breakout occurs, target lines are automatically projected above the Body High (for a bullish break) or below the Body Low (for a bearish break). The distance between these targets is calculated based on a user-defined fraction (e.g., 0.5 steps) of the total height of the Body Range.
Line Cutoff: For tidiness, you can set a "Stop Time" (e.g., 4:00 PM) after which the ORB lines will automatically disappear.
2. EMA Clouds (Trend and Momentum)
Four distinct Exponential Moving Average (EMA) clouds are plotted to provide a dynamic, multi-speed view of the market's trend and momentum.
Structure: Each "Cloud" is the shaded area between two EMAs (one shorter length and one longer length). The indicator includes four customizable pairs (defaulting to common settings like 8/9, 8/14, 34/50, and 14/21).
Trend Coloring: The clouds are color-coded:
Bullish (Greenish): The shorter EMA is trading above the longer EMA, signaling upward momentum.
Bearish (Reddish): The shorter EMA is trading below the longer EMA, signaling downward momentum.
Application: These clouds are used to confirm the overall market direction or identify potential zones of support and resistance.
3. Volume-Weighted Average Price (VWAP)
The VWAP is a crucial anchor for measuring the market's efficiency throughout the trading day.
Function: It calculates the average price of the asset, giving more weight to prices where higher volume was traded.
Context: It helps traders quickly determine if the current price is trading at a premium (above VWAP) or a discount (below VWAP) relative to the day's volume.
Reset: The VWAP line automatically resets at the beginning of each trading day.
Customization: The VWAP line can be toggled on or off, and its color and width are fully adjustable.
