KOBK KILLSHOT PRO V 1.0KOBK KILLSHOT PRO is an advanced trading system that combines multiple layers of technical analysis into one powerful, easy-to-use indicator. Whether you're scalping on lower timeframes or swing trading, this indicator provides crystal-clear entry and exit signals backed by comprehensive market analysis.
## 📝 **TradingView Publication Description**
---
### **Title:**
**KOBK KILLSHOT PRO - Advanced Multi-Timeframe Signal System**
---
### **Short Description:**
Professional-grade trading indicator combining multiple proprietary confirmation layers for high-probability entries and exits. Features intelligent signal quality rating, real-time dashboard, and adaptive exit strategies. Designed for serious traders who demand precision.
---
### **Full Description:**
**KOBK KILLSHOT PRO** is an advanced trading system that combines multiple layers of technical analysis into one powerful, easy-to-use indicator. Whether you're scalping on lower timeframes or swing trading, this indicator provides crystal-clear entry and exit signals backed by comprehensive market analysis.
---
## 🎯 **KEY FEATURES:**
**Smart Signal System:**
- Clear BUY and SELL labels appear directly on your chart
- Quality rating system (★★★★★) shows signal strength
- Early warning dots alert you to potential setups before they trigger
- Color-coded bars show trend direction at a glance
**Real-Time Dashboard:**
- Live ENTRY SIGNAL status (🟢 BUY NOW / 🔴 SELL NOW / ⏳ WAIT)
- Live EXIT SIGNAL status (🟠 EXIT NOW / ✋ HOLD)
- Current position tracking (LONG/SHORT/FLAT)
- Multiple confirmation indicators displayed in real-time
- Trend, momentum, and strength metrics updated every candle
**Flexible Exit Strategies:**
Choose from three exit modes:
- **Flip Mode:** Exit when opposite signal fires (simplest)
- **Momentum Shift:** Exit when momentum changes (faster)
- **Trail Lock:** Trailing stop that locks in profits (let winners run)
**Professional Visuals:**
- Clean, uncluttered chart interface
- Customizable colors and display options
- Toggle individual components on/off
- Works on any timeframe from seconds to daily
---
## 📊 **HOW TO USE IT:**
### **FOR BEGINNERS:**
**Step 1: Add to Chart**
- Apply KOBK KILLSHOT PRO to your chart
- Default settings work great for most traders
- Recommended timeframes: 15-second to 15-minute for active trading
**Step 2: Watch for Signals**
- **GREEN "BUY" label** = Enter LONG position
- **RED "SELL" label** = Enter SHORT position
- **Orange "EXIT" X** = Close your position
- Check the dashboard in top-right corner for confirmation
**Step 3: Follow the Quality Rating**
- **★★★★★ (5 stars)** = Highest probability setup - take these!
- **★★★★☆ (4 stars)** = Strong setup - good to trade
- **★★★☆☆ (3 stars)** = Decent setup - use caution
- **Lower ratings** = Skip unless very experienced
**Step 4: Use the Dashboard**
The live HUD tells you everything you need:
- **Entry Signal:** Shows when to enter (BUY NOW / SELL NOW / WAIT)
- **Exit Signal:** Shows when to exit (EXIT NOW / HOLD)
- **Position:** Tracks if you're LONG, SHORT, or FLAT
- **Quality:** Current signal strength rating
---
### **FOR ADVANCED TRADERS:**
**Customization Options:**
- Adjust signal sensitivity via Key Value parameter
- Control ATR period for different market conditions
- Enable/disable individual filter components
- Choose signal quality threshold (Maximum/High/Medium/Standard)
- Select preferred exit strategy based on trading style
**Filter System:**
The indicator includes multiple proprietary filters that can be toggled individually:
- Trend alignment filters
- Momentum confirmation filters
- Volatility filters
- Flow strength analysis
- Key zone detection
**Signal Quality Control:**
Set minimum quality requirements:
- **Maximum:** Only 5-star signals (very selective)
- **High:** 4-star minimum (recommended for most)
- **Medium:** 3-star minimum (more opportunities)
- **Standard:** 2-star minimum (active trading)
- **All Signals:** Every signal (experienced only)
---
## ⚙️ **RECOMMENDED SETTINGS:**
**For Scalping (15-second to 1-minute charts):**
- Key Value: 1.0
- ATR Period: 10
- Signal Quality: High (4-star minimum)
- Exit Mode: Flip or Momentum Shift
**For Day Trading (5-minute to 15-minute charts):**
- Key Value: 1.0 to 1.5
- ATR Period: 14
- Signal Quality: High
- Exit Mode: Trail Lock
**For Swing Trading (1-hour+ charts):**
- Key Value: 1.5 to 2.0
- ATR Period: 14-20
- Signal Quality: Maximum (5-star only)
- Exit Mode: Trail Lock
---
## 🎮 **SIMPLE TRADING RULES:**
1. **Wait for the signal** - Don't predict, let the indicator tell you
2. **Check the stars** - Higher quality = higher probability
3. **Verify the dashboard** - Make sure Entry Signal shows BUY NOW or SELL NOW
4. **Enter immediately** - When signal fires, don't hesitate
5. **Follow the exit** - When EXIT NOW appears, close the position
6. **Be disciplined** - Trust the system, don't override it
---
## ⚠️ **IMPORTANT NOTES:**
- **Not a holy grail:** No indicator is perfect. Use proper risk management.
- **Backtest first:** Test on demo/paper account before using real money.
- **Position sizing matters:** Never risk more than 1-2% per trade.
- **Market conditions vary:** Some days are better than others.
- **Combine with fundamentals:** Technical signals work best with good market context.
---
## 🔧 **DISPLAY OPTIONS:**
Toggle on/off as needed:
- Live Dashboard (HUD)
- Signal Quality Stars
- Early Warning Signals
- Key Zone Markers
- Trend Lines
- Additional confirmation indicators
---
## 📈 **BEST MARKETS TO USE:**
Works on any liquid market:
- Futures (NQ, ES, YM, etc.)
- Forex pairs (major and minor)
- Crypto (BTC, ETH, etc.)
- Stocks (high volume)
- Indices
---
## 💡 **PRO TIPS:**
1. **Start with higher quality settings** (4-5 stars only) until you're comfortable
2. **Use the early warning dots** to prepare for entries (get your finger ready)
3. **Pay attention to the dashboard trend indicator** - trade with the trend
4. **Don't trade during major news events** - wait for clear market direction
5. **Keep a trading journal** - track which star ratings work best for your style
6. **Adjust Key Value if needed** - higher = fewer signals, lower = more signals
---
## 🎯 **WHAT MAKES THIS DIFFERENT:**
Unlike simple indicators that just draw lines or show one metric, KOBK KILLSHOT PRO combines multiple proprietary analysis layers into one cohesive system. The intelligent filtering ensures you only see high-probability setups, while the real-time dashboard keeps you informed of market conditions every step of the way.
The star rating system is particularly powerful - it instantly tells you how many confirmation factors are aligned, so you can make quick decisions about which signals to take and which to skip.
---
## 📞 **SUPPORT:**
For questions, setup help, or optimization tips, feel free to reach out via TradingView messages. I'm here to help you succeed with this system!
---
**Disclaimer:** This indicator is for educational and informational purposes only. Trading involves substantial risk. Past performance does not guarantee future results. Always use proper risk management and never trade with money you can't afford to lose.
---
## 🏆 **START TRADING SMARTER TODAY**
Bands and Channels
Market + Direction + Entry + Hold + Exit v1.5 FINALIndicator Description
Market + Direction + Entry + Hold + Exit is a rule-based intraday trading indicator designed to identify high-quality trend opportunities while filtering out low-probability market conditions.
Instead of relying on a single signal, this indicator combines market activity, trend direction, momentum, structure, and pullback logic into one unified framework. It is built to support disciplined, rule-driven trading rather than discretionary or predictive approaches.
Core Logic
The indicator operates through a multi-layer confirmation process.
First, it evaluates whether the market is active enough to trade. Market activity is determined by volatility expansion, volume participation, and price displacement from VWAP. When sufficient activity is detected, the indicator allows trades to be considered.
Next, directional bias is defined using exponential moving averages and price positioning. This creates a clear long-only or short-only environment and helps avoid counter-trend trades.
Entry Structure
Entries are based on pullbacks within an established trend rather than breakout chasing.
The first valid pullback is marked as the initial entry. If the trend continues and additional controlled pullbacks occur, re-entry opportunities are identified and labeled sequentially. This structure helps traders scale into trends in a systematic and measured way.
Hold Confirmation
While a position is active, the indicator provides hold confirmation using momentum alignment and candle behavior. This is designed to help traders remain in strong trends and reduce premature exits during normal pullbacks.
Exit Logic
Exit signals appear only when two conditions align: market structure failure and clear trend weakening. This approach avoids exits based on minor price noise and focuses on objective trend invalidation.
Intended Use
This indicator is designed for intraday trading and scalping on indices, futures, and cryptocurrency markets. It performs best on lower to mid timeframes such as 3-minute, 5-minute, and 15-minute charts, where trend continuation and pullback behavior are most visible.
Asset Presets
Built-in presets are provided for NQ, Gold, and BTC. Each preset automatically adjusts internal parameters such as volatility thresholds, structure sensitivity, and trend strength filtering.
Important Notes
This indicator does not predict future price movements. It is a decision-support tool designed to help traders align with market conditions, manage entries systematically, and maintain consistency. Risk management, position sizing, and execution remain the responsibility of the user.
지표 설명
Market + Direction + Entry + Hold + Exit는 시장의 흐름이 명확한 구간에서만 거래 기회를 포착하도록 설계된 규칙 기반 인트라데이 트레이딩 지표입니다.
이 지표는 단일 신호에 의존하지 않고, 시장 활성도, 추세 방향, 모멘텀, 가격 구조, 되돌림 조건을 단계적으로 결합하여 낮은 확률의 구간을 걸러내는 데 초점을 둡니다. 예측보다는 정렬과 필터링을 통해 일관된 의사결정을 돕는 것이 목적입니다.
핵심 개념
지표는 여러 단계의 조건을 순차적으로 통과해야 신호를 생성하는 구조로 설계되어 있습니다.
먼저, 현재 시장이 거래하기에 충분히 활성화되어 있는지를 판단합니다. 변동성, 거래량, VWAP 대비 가격 이탈 정도를 기준으로 시장 상태를 평가하며, 일정 기준 이상일 때만 거래를 고려합니다.
이후, 이동평균과 가격 위치를 기반으로 추세 방향을 정의하여 롱 또는 숏 한 방향만 허용합니다. 이를 통해 역추세 진입을 자연스럽게 차단합니다.
진입 구조
진입은 돌파가 아닌 추세 내 되돌림을 기준으로 설계되어 있습니다.
첫 번째 유효한 되돌림 구간을 초기 진입으로 표시하며, 추세가 유지되는 동안 추가적인 되돌림이 발생할 경우 재진입 기회를 순차적으로 제공합니다. 이러한 구조는 감정적인 물타기가 아닌, 규칙 기반의 분할 진입을 가능하게 합니다.
홀드 신호
포지션 보유 중에는 모멘텀 정렬과 캔들 흐름을 통해 추세 지속 여부를 확인할 수 있습니다. 이를 통해 정상적인 조정 구간에서는 성급한 청산을 줄이고, 추세가 유지되는 동안 포지션을 안정적으로 관리할 수 있도록 돕습니다.
청산 로직
청산 신호는 가격 구조 붕괴와 추세 약화가 동시에 확인될 때만 발생합니다. 단기적인 노이즈에 의한 잦은 청산을 피하고, 추세가 객관적으로 무너지는 구간에 집중하도록 설계되었습니다.
활용 대상
이 지표는 인트라데이 트레이딩과 스캘핑에 적합하며, 지수, 선물, 암호화폐 시장에서 활용할 수 있습니다. 특히 3분, 5분, 15분 차트에서 추세와 되돌림 구조가 명확하게 나타나는 환경에서 효과적입니다.
자산 프리셋
NQ, Gold, BTC에 대해 사전 설정된 프리셋이 제공되며, 각 자산의 변동성과 특성에 맞게 내부 파라미터가 자동으로 조정됩니다.
유의 사항
본 지표는 가격의 미래를 예측하지 않습니다. 시장 환경을 정리하고 거래 판단을 보조하는 도구로서 사용되며, 손절 기준과 포지션 사이즈 관리는 사용자 책임입니다.
DMcTrades Trading EngineDMcTrades Trading Engine
Multi-Layer Trend, Structure & Momentum Analysis
This indicator is a comprehensive, rule-based trading framework designed to identify high-quality buy and sell opportunities through multi-timeframe confluence, trend alignment, and price-action confirmation. It combines structure breaks, moving-average alignment, volatility filters, and momentum confirmation into a single, unified visual system.
The script is intended for intraday and short-term swing trading, with particular effectiveness on lower timeframes when higher-timeframe trend alignment is respected.
Core Architecture
The indicator is divided into two independent but complementary engines:
1) Multi-Timeframe Structure & Trend Engine
This engine focuses on directional bias and structural validation.
Key components:
Multi-timeframe EMA alignment (fast and slow timeframes)
Supertrend direction agreement across timeframes
Swing-based Break of Structure (BOS) detection
Configurable trend strictness (Conservative / Balanced / Aggressive)
Optional wick-based or close-based structure confirmation
Signals generated here establish trend-qualified entry permission, not standalone entries.
2) Momentum & Breakout Signal Engine
This engine evaluates entry quality and follow-through probability.
Key components:
Breakout and breakdown detection from recent swing levels
ATR-adjusted volatility and impulse candle filtering
MACD and RSI momentum confirmation
VWAP and higher-timeframe EMA confluence (optional)
Retest-based and impulse-based entry logic
Overextension protection to avoid late entries
Signals are classified as:
CONFIRMED (strong multi-filter confluence)
BASE (core conditions met, fewer filters passed)
Signal Types & Visuals
The indicator provides multiple visual layers:
BUY / SELL triangles for core entries
CONFIRMED BUY / SELL labels for high-confluence setups
Classification boxes highlighting active signal zones
Supertrend overlays (current timeframe + optional 5-minute overlay)
EMA stack visualization (9 / 21 / 50 / 200)
Impulse candle highlighting
Optional reversal warning triangles based on momentum divergence
All visuals are fully configurable and can be enabled or disabled independently.
Risk & Trade Context Features
To help filter lower-probability trades, the suite includes:
Minimum ATR and volume thresholds
Trend stability checks (avoids fresh flips unless momentum is strong)
EMA slope and distance validation
Liquidity sweep and recent structure awareness
Optional higher-timeframe trend agreement
These filters are designed to reduce over-trading and improve signal quality during ranging or low-volatility conditions.
Recommended Usage
Best suited for 1-minute to 15-minute charts
Designed for trend-following and momentum continuation
Works across Forex, indices, commodities, and crypto
Use in conjunction with proper risk management and session awareness
This indicator does not provide take-profit or stop-loss levels and should be used as a decision-support tool, not an automated trading system.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results.
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.
━━━━━━━━━━
1. Concept
━━━━━━━━━━
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.
━━━━━━━━━━
2. Moving averages inside the script
━━━━━━━━━━
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.
━━━━━━━━━━
3. Channels around each MA
━━━━━━━━━━
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.
━━━━━━━━━━
4. Practical use cases
━━━━━━━━━━
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.
━━━━━━━━━━
5. Notes and disclaimer
━━━━━━━━━━
• 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
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.
...
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.
...
^^ 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
...
∞
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.
Sayed Official SniperSniper and Trading best swing of the year no body knows i get it premium to share with you guyz
VD FRFS PRO
VD FRFS PRO
This trader centric, multi-functional indicator built on **Pine Script™ v6** that seamlessly integrates four of the most critical price and volatility tools into a single overlay. Designed for day traders, swing traders, and institutional analysts, this tool provides a comprehensive view of volatility, trend, volume-based pricing, and structure, all without chart clutter.
Overview & Concept
The VD FRFS PRO is engineered for efficiency and clarity. Instead of layering four separate indicators, which can lead to performance issues and confusion, this script combines the calculations into one, allowing traders to execute complex technical analysis rapidly.
It serves as a powerful foundation for strategies that require:
1. Volatility Assessment (Bollinger Bands)
2. Volume-Weighted Fair Value (VWAP)
3. Price Structure & Swings (Zig Zag)
4. Dynamic Trend Filtering (Configurable SMA)
Customization & Settings
All inputs are logically grouped for ease of use in the indicator's settings menu.
Bollinger Bands
BB Length: Period for the Basis SMA and StdDev calculation (default: 20).
BB Source: Price series for the calculation (default: `close`).
BB StdDev Multiplier: Multiplier for the Standard Deviation (default: 2.0).
BB Offset: Shifts the bands horizontally (default: 0).
VWAP Settings
VWAP Source: Price series for the VWAP calculation (default: `hlc3`).
Zig Zag Settings
Zig Zag High/Low Length: Lookback period for determining swing points (default: 3).
SMA Settings
SMA Period: Lookback period for the configurable SMA (default: 20).
Show SMA: Checkbox to toggle the visibility of this SMA (default: `true`).
Disclaimer
Feel free to reach out for suggestions and modification requests.
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.
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis.
This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality:
🎯 Core Features
1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles:
MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends
MA5 (21 EMA): Short-term anchor - critical pivot point
MA6 (34 EMA): Intermediate support/resistance
MA7 (50 EMA): Medium-term bridge between short and long trends
MA8-MA9 (89, 100): Transition zone indicators
MA10-MA11 (150, 200): Long-term anchors for major trend identification
Each MA is fully customizable:
Type: SMA, EMA, WMA, TMA, RMA
Color, width, and enable/disable toggle
📊 Signal Generation System
Three Signal Tiers: Short-Term Signals (ST)
Trigger: MA8 (EMA 8) crossing MA21 (EMA 21)
Filters Applied:
✅ ATR-based post-cross confirmation (optional)
✅ Momentum confirmation (RSI > 50, MACD positive)
✅ Volume spike requirement
✅ HTF (Higher Timeframe) alignment
✅ Strong candle body ratio (>50%)
✅ Multi-MA confirmation (3+ MAs supporting direction)
✅ Price beyond MA21 with conviction
✅ Minimum bar spacing (prevents signal clustering)
✅ Consolidation filter
✅ Whipsaw protection (ATR-based price threshold)
Medium-Term Signals (MT)
Trigger: MA21 crossing MA50
Less strict filtering for swing trades
Major Signals
Golden Cross: MA50 crossing above MA200 (major bullish)
Death Cross: MA50 crossing below MA200 (major bearish)
🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover
This prevents false signals during low-volatility consolidation.2. Momentum Filters
RSI (14)
MACD Histogram
Rate of Change (ROC)
Composite momentum score (-3 to +3)
3. Volume Analysis
Volume spike detection (2x MA)
Volume classification: LOW, MED, HIGH, EXPL
Directional volume confirmation
4. Higher Timeframe Alignment
HTF1: 60-minute (default)
HTF2: 4-hour (optional)
HTF3: Daily (optional)
Signals only trigger when current TF aligns with HTF trend
5. Market Structure Detection
Break of Structure (BOS): Price breaking recent swing highs/lows
Order Blocks (OB): Institutional demand/supply zones
Fair Value Gaps (FVG): Imbalance areas for potential fills
📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional):
Price Distance from Key MAs
vs MA21, MA50, MA200 (percentage)
Color-coded: green (above), red (below)
MA Alignment Score
Calculates % of MAs in proper order
🟢 for bullish alignment, 🔴 for bearish
Trend Strength
Based on separation between MA21 and MA200
NONE/WEAK/MODERATE/STRONG/EXTREME
Consolidation Detection
Identifies low-volatility ranges
Prevents signals during sideways markets
⚙️ Customization OptionsFilter Toggles:
☑️ Require Momentum
☑️ Require Volume
☑️ Require HTF Alignment
☑️ Use ATR post-cross confirmation
☑️ Whipsaw filter
Min bars between signals (default: 5)
Dashboard Styling:
9 position options
6 text sizes
Custom colors for header, rows, and text
Toggle individual metrics on/off
🎨 Visual Elements
Signal Labels:
ST▲/ST▼ (green/red) - Short-term
MT▲/MT▼ (blue/orange) - Medium-term
GOLDEN CROSS / DEATH CROSS - Major signals
Volume Spikes:
Small labels showing volume class + direction
Example: "HIGH🟢" or "EXPL🔴"
Market Structure:
Dashed lines for Break of Structure levels
Automatic detection of swing highs/lows
🔔 Alert Conditions
Pre-configured alerts for:
Short-term bullish/bearish crosses
Medium-term bullish/bearish crosses
Golden Cross / Death Cross
Volume spikes
💡 Key Strengths
Institutional-Grade Filtering: Multiple confirmation layers reduce false signals
Multi-Timeframe Analysis: Ensures alignment across timeframes
Adaptive to Market Conditions: ATR-based thresholds adjust to volatility
Comprehensive Dashboard: All critical metrics in one view
Highly Customizable: 100+ input parameters
Signal Quality Over Quantity: Strict filters prioritize high-probability setups
⚠️ Usage Recommendations
Best for: Swing trading and position trading
Timeframes: Works on all TFs, optimized for 15m-Daily
Markets: Stocks, Forex, Crypto, Indices
Signal Frequency: Conservative (quality over quantity)
Combine with: Support/resistance, price action, risk management
🔧 Technical Implementation Notes
Uses Pine Script v6 syntax
Efficient calculation with minimal repainting
Maximum 500 labels for performance
Security function for HTF data (no lookahead bias)
Array-based MA alignment calculation
State variables to track signal spacing
This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment).
The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
CODEX OB + BBMA V1CODEX OB + BBMA is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals.
In addition to SMC tools, this indicator also incorporates multi-timeframe BBMA logic, allowing traders to view higher-timeframe momentum, trend direction, and volatility envelopes directly from the current chart. This makes it easier to align SMC setups—like OB, FVG, and BOS—with BBMA structure such as MA touches, re-entry zones, extreme candles, and volatility expansions.
This combination helps traders identify institutional footprints, multi-timeframe confluence, and displacement-based setups with high clarity.
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.
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)This script provides optimized scalping signals for BTC, designed mainly for the 15-minute timeframe.
Long/short entries are generated using VWAP band position and trend confirmation logic.
OBV momentum is used as a secondary filter to validate breakout or reversal conditions.
Exit signals are displayed when volatility compression or mean-reversion conditions occur.
Simple visual markers (triangles and circles) are included for easy decision-making.
롱/숏 삼각형 시그널
동그라미 청산 시그널
VWAP 밴드 기반 방향성
OBV 보조지표
이름 (Name)
BTC Scalping Signal – VWAP + OBV
짧은 설명 (Short Description)
VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다.
긴 설명 (Long Description)
이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다.
VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다.
OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다.
시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다.
삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
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.






















