MAC's V6 finalBreakout retest strategy
Works best on a NQ 1 hour chart
Also works on other futures charts
Adjust the initial capital to 100000
and the margin requirement percent to 0
Trend Analysis
Bollinger Bands %b Trend | DextraOverview
The Bollinger Bands %b Trend | Dextra is a custom technical indicator designed to enhance trend identification using the Bollinger Bands %b concept. This indicator calculates the percentage position of the price relative to the Bollinger Bands and uses customizable thresholds to determine bullish or bearish trends. It integrates dynamic candle coloring and a clear visual representation to assist traders in making informed decisions.
Key Features
- Bollinger Bands %b Calculation: Measures the price's position between the upper and lower Bollinger Bands as a percentage, providing a normalized view of overbought or oversold conditions.
- Trend Detection: Identifies uptrends and downtrends based on user-defined thresholds, offering a straightforward trend-following approach.
- Dynamic Candle Coloring: Colors candles according to the detected trend (green for uptrend, magenta for downtrend, gray for neutral), enhancing visual trend analysis.
- Customizable Parameters: Allows adjustment of length, standard deviation multiplier, and trend thresholds to suit various market conditions and trading styles.
How It Works
1. Bollinger Bands Calculation:
- The indicator uses an Exponential Moving Average (EMA) as the basis, calculated with a user-defined `length` (default 34).
- Upper and lower bands are derived by adding and subtracting a multiple of the standard deviation (`mult`, default 2.0) from the EMA.
- The %b value is computed as `(src - lower) / (upper - lower)`, where `src` is the price source (default `close`).
2. Trend Identification:
- An uptrend is detected when %b exceeds the `upperthreshold` (default 0.75).
- A downtrend is detected when %b falls below the `lowerthreshold` (default 0.26).
- The trend state is maintained until a new threshold condition is met.
3. Visualization:
- The %b line is plotted with a color reflecting the trend (green for uptrend, magenta for downtrend, gray for neutral).
- Horizontal dashed lines mark the uptrend and downtrend thresholds for reference.
- Candles are colored to match the trend, providing an overlay visualization on the price chart.
Customization Options
- Length: Adjust the EMA and standard deviation period (default 34, min 1).
- Source: Select the price data source for calculations (default `close`).
- StdDev: Set the standard deviation multiplier for band width (default 2.0, range 0.001 to 50).
- Uptrend Threshold: Define the %b level for uptrend detection (default 0.75, step 0.01).
- Downtrend Threshold: Define the %b level for downtrend detection (default 0.26, step 0.01).
Ideal Use Cases
- Trend Following: Perfect for traders seeking to capitalize on sustained price movements with clear entry and exit signals.
- Volatility Analysis: Useful for identifying periods of high or low volatility when combined with the %b positioning.
- Complementary Tool: Works well alongside momentum indicators (e.g., RSI) or volume-based tools to confirm trend strength.
#### Disclaimer
This indicator is provided for educational and informational purposes only. It is not intended to serve as financial advice or a guaranteed method for trading success. Trading involves significant risks, including the potential loss of capital. Users are solely responsible for their trading decisions and should conduct their own analysis and apply appropriate risk management strategies.
Notes
- Ensure your chart has sufficient historical data to reflect accurate Bollinger Bands calculations.
- Test the indicator on a demo account before using it in live trading to validate its performance with your preferred assets and timeframes.
This indicator is a versatile addition to any trader's toolkit, offering a blend of trend detection and visual clarity tailored to modern trading needs.
EquiSense AI Signals🇸🇦 العربي
المتنبئ الذكي المتوازن (AI v7)
وصف قصير:
مؤشر تجميعي ذكي يوازن بين الاتجاه والزخم والحجم والتذبذب وأنماط الشموع، ويحوّلها إلى نظام نقاط ونجوم يولّد إشارات شراء/بيع مؤكَّدة بتقاطع MACD. بعد الإشارة، يعرض أهدافًا ذكية (TP1/TP2/TP3) ووقف خسارة مبنيَّيْن على ATR مع رسومات مستقبلية ولوحة معلومات لإدارة الصفقة.
الإعدادات (Inputs)
الحد الأدنى للنقاط (min_score): افتراضي 6.0 — كلما ارتفع قلّت الإشارات وزادت جودتها.
الحد الأدنى للنجوم (min_stars): افتراضي 2 — فلتر لقوة الإشارة.
عدد الشموع المستقبلية (future_bars): افتراضي 15 — مدى رسم الأهداف والوقف للأمام.
استخدام الأهداف الذكية (use_ai_targets): تفعيل/إيقاف مضاعِف الذكاء الاصطناعي للأهداف والوقف.
كيف يعمل؟
يحسب المؤشر buy_score/sell_score من مجموعة عوامل: EMA8/21/50/200، RSI + متوسطه، MACD + Histogram، Stochastic، ADX/DMI، VWAP، الحجم، MTF 15m، ROC/المومنتَم، Heikin Ashi، وأنماط (ابتلاع/مطرقة/شهاب).
يحوّل الدرجات إلى نجوم (⭐⭐ إلى ⭐⭐⭐⭐⭐) حسب القوة.
تولّد الإشارة فقط إذا توفّر: درجة ≥ الحد + نجوم ≥ الحد + تقاطع MACD (صعودًا للشراء، هبوطًا للبيع).
عند الإشارة يبدأ سيناريو صفقة واحدة فقط حتى تنتهي (TP3 أو SL).
الأهداف والوقف (ذكاء اصطناعي)
تُشتق من ATR ثم تُعدَّل عبر مضاعِف AI مبني على: ATR%، الزخم (ROC)، الحجم مقابل متوسطه، قوة الاتجاه (ADX)، وعدد النجوم.
تقريبيًا:
TP1 ≈ 1.5×ATR × AI
TP2 ≈ 2.5×ATR × AI
TP3 ≈ 4.0×ATR × AI
SL ≈ 1.0×ATR ÷ AI
ماذا سترى على الشارت؟
علامات “شراء/بيع”، نجوم قرب الإشارة، خط دخول (أزرق)، وقف (أحمر منقّط)، TP1/TP2 (أخضر)، TP3 (ذهبي) مع صناديق مناطق للأهداف وخط ربط نحو الهدف النهائي.
وسم AI يعرض نسبة المضاعِف والنجوم بصريًا.
لوحة معلومات تعرض الحالة، القوة، AI%، السعر، الدرجات، وأثناء الصفقة: الدخول، TP1/TP2/TP3، والربح اللحظي.
التنبيهات (Alerts)
شرطان جاهزان: شراء وبيع عند تحقق الإشارة.
أضِف تنبيه: Right click → Add alert → اختر المؤشر → الشرط المطلوب.
أفضل الممارسات
استخدم الإطار المناسب للأصل:
سكالبينغ 5–15m: min_score 8 وmin_stars 3–4.
تأرجحي H1–H4: min_score 7 وmin_stars 3.
يومي/أسهم: min_score 6–7 وmin_stars 2–3.
فضّل التداول مع EMA200 واتجاه MTF 15m.
خفّض المخاطرة وقت الأخبار العالية.
التزم بإدارة مخاطر ثابتة (مثلاً 1% لكل صفقة).
حدود مهمة
الأفضل انتظار إغلاق الشمعة لتأكيد التقاطعات وتجنّب تغيّرها.
صفقة واحدة في المرة بفضل حالة in_trade.
يستخدم request.security مع lookahead_off لإطار 15m؛ التزم بالتقييم عند الإغلاق.
أسئلة شائعة
هل يستخدم منفردًا؟ نعم، لكن مع مناطق سعرية/ترند وخطة مخاطر يصبح أقوى.
لماذا تختلف الأهداف؟ لأن مضاعِف AI يكيّف TP/SL مع ظروف السوق.
إخلاء مسؤولية
هذه أداة تحليلية تعليمية وليست نصيحة استثمارية. اختبر الإعدادات تاريخيًا والتزم بالمخاطرة المناسبة.
ملاحظة للمبرمجين
Pine Script v6، متغيرات var لحفظ الحالة، تنظيف الرسومات على الشمعة الأخيرة، مع حدود مرتفعة للرسوم لتجنّب الأخطاء.
🇬🇧 English
Balanced Smart Predictor (AI v7)
Short description:
A smart, ensemble-style indicator that blends trend, momentum, volume, volatility, and candle patterns into a score & star system that produces Buy/Sell signals confirmed by MACD crosses. After a signal, it projects smart targets (TP1/TP2/TP3) and a stop-loss derived from ATR, with forward drawings and a control panel for trade management.
Inputs
Minimum Score (min_score): default 6.0 — higher = fewer but stronger signals.
Minimum Stars (min_stars): default 2 — extra filter for strength.
Future Bars (future_bars): default 15 — how far targets/SL are drawn ahead.
Use AI Targets (use_ai_targets): toggle the AI multiplier for TP/SL.
How it works
Computes buy_score/sell_score from: EMA8/21/50/200, RSI & its MA, MACD & Histogram, Stochastic, ADX/DMI, VWAP, Volume, 15m MTF tilt, ROC/Momentum, Heikin Ashi, and candle patterns (engulfing/hammer/shooting star).
Converts scores into Stars (⭐⭐ to ⭐⭐⭐⭐⭐) via tiered thresholds.
Signals fire only when: Score ≥ minimum + Stars ≥ minimum + MACD cross (up = Buy, down = Sell).
On a signal, one active trade is managed until TP3 or SL is reached.
Targets & Stop (AI-driven)
Targets and SL are ATR-based, then adjusted by an AI multiplier derived from: ATR%, momentum (ROC), relative volume, trend strength (ADX), and star rating.
Approximate formulas:
TP1 ≈ 1.5×ATR × AI
TP2 ≈ 2.5×ATR × AI
TP3 ≈ 4.0×ATR × AI
SL ≈ 1.0×ATR ÷ AI
What you’ll see on chart
“Buy/Sell” markers with small Star labels, an Entry line (blue), SL (red dotted), TP1/TP2 (green), TP3 (gold) with shaded target boxes and a guide line towards the final target.
A central AI badge showing the multiplier % and star rating.
A top-right Panel showing status, strength, AI%, price, scores, and during trades: entry, TP1/TP2/TP3, and live P/L.
Alerts
Two ready-made conditions: Buy and Sell when the respective signal triggers.
Add alert: Right click → Add alert → choose the indicator → select condition.
Best practices
Match timeframe to instrument:
Scalping 5–15m: min_score 8, min_stars 3–4.
Swing H1–H4: min_score 7, min_stars 3.
Daily/Equities: min_score 6–7, min_stars 2–3.
Prefer trades with EMA200 and 15m MTF trend alignment.
De-risk around major news.
Use fixed risk per trade (e.g., 1%).
Important notes
Prefer bar close confirmation to avoid mid-bar MACD flips.
Single trade at a time via the in_trade state.
15m MTF uses request.security with lookahead_off; evaluate at close for consistency.
FAQ
Use it standalone? You can, but it’s stronger when combined with S/R zones/trendlines and solid risk management.
Why do targets vary? The AI multiplier adapts TP/SL to current market conditions.
Disclaimer
This is an analytical/educational tool, not financial advice. Always backtest and use appropriate risk management.
Developer note
Built in Pine Script v6, uses var for trade state, clears drawings on the last bar to keep the chart tidy, and raises drawing limits to avoid runtime errors.
VWAP Mean Reversion ZonesDescription:
VWAP Mean Reversion Zones is a multi-timeframe VWAP indicator designed to reveal price deviations and volatility structure across higher-timeframe anchors. It calculates a Volume-Weighted Average Price (VWAP) from a user-selectable timeframe (Daily, Weekly, or Monthly) and overlays it directly on your chart.
The script also computes multiple standard deviation bands around the smoothed VWAP, allowing traders to identify areas of potential mean reversion, trend extension, and volatility compression. Each deviation band helps distinguish the relative distance of price from the VWAP centerline.
Key Features:
Selectable VWAP anchor period: Daily, Weekly, or Monthly.
Multi-timeframe VWAP calculation using volume and price weighting.
Four customizable standard deviation bands with independent multipliers.
Distinct colors and full opacity for clear visual separation.
Smoothed VWAP centerline for reduced noise and better trend visualization.
Use Cases:
Identify overbought or oversold conditions relative to VWAP.
Detect volatility expansion and contraction zones.
Align entries and exits with higher-timeframe VWAP structure.
Combine with price action or other indicators for confluence trading.
This indicator is ideal for traders who rely on VWAP dynamics and mean-reversion principles to guide entries, exits, and risk management.
VWAP NectarVWAP Nectar
The Sweet Spot Between Price and Volume
VWAP Nectar is a precision-driven indicator that blends price action and volume flow into a clean, adaptive channel system.
It uses session-based VWAP calculations combined with median smoothing to filter market noise and highlight the true directional bias of price.
The indicator shades the chart between two dynamic VWAP bands, giving traders a quick visual read of whether buyers or sellers are controlling the session.
When the fill color shifts, it signals a change in momentum — simple, fast, and powerful.
How it works
Calculates session VWAPs for both highs and lows
Applies a median smoothing filter for stability and clarity
Generates adaptive upper and lower zones based on a customizable percentage
Fills the area between VWAPs in green (bullish) or red (bearish) depending on directional bias
Provides real-time alert triggers for VWAP-based trend changes
Inputs
Source selection: Choose custom data sources for close, high, and low
Zone %: Adjust sensitivity of the upper/lower VWAP envelope
Use it for
**VWAP Nectar is designed primarily for lower timeframe charts.
Confirming intraday trend direction
Spotting clean entries around VWAP pullbacks
Filtering out noise during high-volatility sessions
Building confluence with other technical tools
Trend Dashboard – Buy Sell Signal Indicator [AlgoFlux]Trend Dashboard – Buy Sell Signal Indicator
The AlgoFlux Trend Dashboard is an advanced Buy & Sell Signal Indicator that combines EMA, RSI, MACD, and Volume Confluence across multiple timeframes — helping traders identify high-probability trend reversals, entries, and exits with precision.
Perfect for swing and intraday trading, it visually simplifies complex market conditions into a clean, actionable dashboard.
🔹 Key Features
✅ Multi-Timeframe Dashboard: Instantly view trend alignment across Daily, 4H, and 1H charts.
✅ Smart Buy & Sell Signals: Generated only when multiple conditions confirm trend strength.
✅ EMA Confluence Engine: Detects short-term and long-term crossovers with precision.
✅ Momentum & Volume Filter: Confirms signals using RSI and volume surge.
✅ Auto-Exit Alerts: Get notified for SL/TP or momentum reversal.
✅ Clean Visuals: Minimal clutter, professional color coding, and dashboard clarity.
✅ Ideal For: Swing Traders, Intraday Traders, and Algorithmic Trading Enthusiasts.
🔹 How It Helps Traders
✅ Avoid false breakouts using multi-indicator confirmation
✅ Identify trend direction in seconds
✅ Time entries and exits with maximum accuracy
✅ Works on all instruments: NSE, Forex, Crypto, Index, Commodities
✅ Designed for both manual trading and strategy development
📞 AlgoFlux Contact Info
🌐 Website: www.AlgoFluxIndicator.com
📩 Email: algofluxindicator@gmail.com
💬 Telegram Support: @AlgoFluxSupport
📢 Telegram Channel: t.me/AlgoFluxIndicator
📸 Instagram: @AlgoFluxIndicator
📺 YouTube: AlgoFlux TradingView Indicator
📊 TradingView: AlgoFlux
⚡ Trade Smarter. Trade Profitable.
Dinkan Price ActionThe Dinkan Price Action Tool is a complete smart money trading system designed for traders who follow institutional logic, structure shifts, and volume pressure. It detects real-time market structure, order blocks, and fair value gaps, giving you a clear edge in any market condition.
Built for accuracy and speed, this indicator is perfect for identifying high-probability setups, catching trend reversals, and managing trades with confidence.
🔍 Key Features
🔹 Internal and External Liquidity Sweeps
🔹 Fair Value Gaps (FVG) for imbalance-based trade setups
🔹 Order Blocks for institutional entry zones
🔹 High-performance optimized — no repainting, real-time logic
🎯 Best Use Cases
Smart Money-based trend or reversal entries
Liquidity sweep traps and FVG reclaims
Scalping and intraday structure trading
✅ Why Traders Love It
✔ Clean and professional visuals
✔ Precise institutional logic
✔ Fast, non-repainting signals
✔ Works across any timeframe or asset
✔ Combines price action + structure
⚠️ Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves risk, and past performance does not guarantee future results.
Always do your own research and consult with a licensed financial advisor before making trading decisions.
The author is not responsible for any losses incurred using this tool.
Dinkan Dynamic Price Action ToolsDetect market structure, Order Blocks, and key supply–demand areas with pure price action.
This indicator automatically identifies Major and Minor Order Blocks, Break of Structure (BoS), and Change of Character (ChoCh) — helping traders see market transitions clearly without volume or lagging filters.
✨ Key Features
🔹 Auto-detection of Major & Minor Order Blocks (Supply / Demand Zones)
🔹 BoS / ChoCh detection for structure shifts
🔹 Liquidity sweep labeling for trapped-liquidity areas
🔹 Dynamic zone drawing with clean visuals
🔹 Works on all timeframes and symbols
🔹 Lightweight, no repaint, and easy to customize
⚙️ How It Works
The indicator reads price structure and swing points to identify institutional footprints, highlighting zones where price has previously shown strong reactions.
As new structure forms, zones update automatically, giving traders a real-time view of potential reaction areas.
🧩 Ideal For
Price-action traders
ICT / SMC-based traders
Swing and intraday traders
Anyone who prefers chart clarity and structure-based confluence
⚠️ Disclaimer
This script is designed for educational and informational purposes only.
It does not constitute financial advice or a trading signal service.
All trading decisions are solely the responsibility of the user.
Past performance of any trading idea or strategy does not guarantee future results.
Always practice proper risk management and test thoroughly before using in live markets.
Total Info Indicator by MikePenzin
Install & Add to Chart
• Copy the script into Pine Editor → click Add to Chart .
• Open the ⚙️ Settings → Inputs to customize.
What It Does
• Displays key info in a floating table — trend, volume, ATR, RSI, stop loss, and more.
• Detects breakouts , smart SELL signals , and opening strength .
• Uses emojis and colours to make trends easy to read: 🟢 good, 🟡 neutral, 🔴 risky.
For Swing Traders
• Works best on Daily or 4H charts.
• Watch for 🟢 Uptrend + ⚡BUY / 🔥BUY breakout signals.
• Use ATR-based Stop Loss (shown in table).
• Avoid new entries a few days before earnings.
Suggested Setup
• 20/50/150 MA Lines: ON
• 200 MA Line: optional
• ATR Multiplier: 1.3
• Breakout Detection: ON (Volume + RSI + Trend filters)
• Smart SELLs: ON (RSI 70, EMA 20)
• Pivots: ON for quick swing levels
How to Read
• MA Row: 🟢 = price above MA (bullish).
• ATR/Stop Loss: Suggests where to place protective stop.
• Volume Info: Today’s vs 20-day average, plus pace.
• RSI & CCI: Shows momentum and overbought/oversold levels.
• Breakouts: ⚡BUY (early), 🔥BUY (confirmed).
• Smart SELLs: RSI🔴 / DIV🟣 / EMA🔵 mean potential exit zones.
Example Use
1️⃣ Find stocks with Uptrend 🟢 , rising volume, and ⚡BUY signal.
2️⃣ Enter near breakout; set Stop = shown level.
3️⃣ Take profits or trail when Smart SELLs appear or RSI peaks.
Tips
• Choose table corner under “Table Visualization.”
• Reduce clutter on small timeframes (turn off Pivots/200 MA).
• Use “Volume speed” to spot surging interest before breakouts.
• Compatible with most equities and ETFs.
Disclaimer
This script is for education & analysis only .
Not financial advice — always manage your own risk.
Copter 2.0💡 The indicator is designed for trading on any timeframe and includes a comprehensive system for determining entry and exit points based on technical analysis, price and volume.
📊 In the new version of Copter 2.0, the take profit and stop loss functions have been added
Let's analyze its key components:
✔️ Trend levels and extremes:
- The indicator determines local highs and lows for a certain period.
- the breakdown of these levels serves as a signal to open positions.
- the High-Low price dynamics analysis method is used to find key entry points.
✔️ Volumes:
-The indicator uses a configurable volume threshold to filter out candles with low volume and display only those with significant volume.
- the algorithm analyzes market data and sets an entry signal (opening a trade) and exit (profit taking/closing a position)
📍 Therefore, whether you are a beginner or an experienced trader, the indicator can help you stay ahead of the game and make more informed trading decisions.
📍 As a result, the trader can be sure that the signal is based on data analysis.
A long or short position can be stopped with either a profit or a small loss without prejudice to the potential profit.
✔️ Signal filtering:
- volume and volatile indicators are used to confirm the trend
- if a volume or volatility filter does not confirm the breakdown, the input signal is ignored
- analysis of moving averages of volumes and ATR is used
✔️ The use of the RSI in overbought and oversold analysis:
- the RSI indicator analyzes the strength of the current trend
- if the RSI exceeds 70, exit from a long position is possible
- if the RSI falls below 30, exit from a short position is possible
✔️ The use of EMA 20 and EMA 200
is additional moving average data that determines the current trend and the trend on higher timeframes.
- the main idea is that when they cross, we can see a change in trend movement and determine the general mood at the moment, based on which signals appear to open/close a deal.
- also, the indicator analyzes the past movement, thus determining the future direction
- based on the opening and closing of the past days, weeks, months.
✔️ Stop loss and risk management
- when entering a trade, a dynamic stop loss is set based on the percentage price change
- exit the position is carried out when a stop loss or a signal from the RSI is reached.
- it helps to minimize losses and protect profits
The market is unstable, and it is impossible to know what awaits it in the future.
The only way to manage risk is to limit the loss by setting a stop loss at 1% - 2% of the entry point.
It is recommended to set the profit in the ratio 1:1, 1:2,1:3, with partial fixation of 40%, 30%, 30% or wait for the indicator signal (TP)
We recommend fixing positions in parts. There will be a signal in the opposite direction when the volume is released.
To match the risk of the transaction, we recommend that you do not enter with high leverage.
Trade only with the amount that you are willing to lose.
With increased volatility in the market and flat, the indicator can give many signals.
After a strong fall or growth, we recommend not to open positions, because the probability of a flat is high.
✔️ Visualization of entry and exit points
- Entry points (long and short) are graphically displayed. green - long, orange - short
- stop loss levels are marked for clarity of risk management
✔️Recommendations for working with the indicator!
Entry/exit is performed on the next candle after the candle with the signal (buy/sell)
All timeframes and any trading pairs are used (when selecting settings for each one)
The indicator combines several methods of technical analysis:
- work with support and resistance levels
- filtering of signals based on volumes and volatility
- Overbought and oversold analysis using the RSI
- automatic risk management through stop loss
This approach makes the indicator a useful tool for short-term trading and active scalping.
❗️ NO REPAINT ! ❗️
CandleTrack Pro | Pure Price Action Trend Detection📖 CandleTrack Pro | Pure Price Action Trend Detection
CandleTrack Pro is a clean, non-repainting trend detection tool built purely on price action logic.
It uses a dynamic ATR-based trailing system to detect trend shifts while keeping the chart visually simple.
🧠 How It Works
Tracks volatility using ATR.
Identifies trend shifts when price crosses trailing stops.
Highlights bullish and bearish bars visually for easy reading.
⚙️ Inputs
ATR Sensitivity: Controls how fast the trend adapts.
Use High/Low for Stop: Enables candle wick–based structure tracking.
📊 Ideal For
Traders who want a minimalist price action view with clear trend direction — no clutter, no lagging oscillators.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only.
It is not financial advice. Always confirm setups using your own judgment and risk management.
Rotation Flow Model v6 (BTC → ETH → ALTS) Ghost 2Confirm the flows after massive dip to confirm entry points
Skew DetectorSkew Detector is a statistical bias analyzer designed to measure and visualize market asymmetry using range-based skewness.
It helps traders identify when price movements are stretching too far in one direction — signaling potential imbalance, exhaustion, or continuation bias in momentum.
The indicator computes three independent measures of skewness — mean, median, and mode — across a customizable lookback window. These are plotted as reference lines against a synthetic "skew candle" series, allowing you to visualize how current market skew compares to its historical distribution.
When the background turns green, it indicates that the market’s current skew is greater than all three reference measures — suggesting bullish dominance or upward distortion in price movement.
When it turns red, the opposite is true — signaling potential downside bias or negative skew.
Features
Measures mean, median, and mode of return-based skewness.
Highlights extreme bias conditions through dynamic background coloring.
Visualizes a synthetic skew candle series to track short-term fluctuations.
Fully customizable lookback length and histogram resolution.
aEMA Cross - Long EditionaEMA Cross – Long Edition
Smart, Automated, and Rule-Based Trading Framework
Overview:
The aEMA Cross – Long Edition is an advanced automated trading system that intelligently identifies trends, filters weak signals, and manages trades with precision. It integrates EMA crossover logic, breakout candle confirmation, and time-based exits to help traders capture consistent opportunities while minimizing risk and manual intervention.
Designed and developed with algorithmic trading platforms in mind, the indicator can be seamlessly integrated with most Algo platforms through TradingView alerts for automated execution.
Note: The default setup is optimized for the ETHUSD chart.
Core Concept:
The strategy is built around two Exponential Moving Averages (EMAs):
- Short EMA – Responds quickly to short-term market changes.
- Long EMA (default 200) – Represents the overall market trend.
When the Short EMA crosses specific buffer zones around the Long EMA, it confirms genuine momentum before generating Buy or Sell signals. This ensures cleaner and more reliable trade entries.
Key Features:
1. Signal Generation
• Dual logic modes: Candle-based or EMA-based signal detection.
• Breakout Candle System to confirm strong price movements before entries.
• Integrated RSI and ADX filters to ensure trades occur only in favorable market conditions.
2. Smart Trade Management
• Automated Target and Stoploss management.
• Trailing Stop Loss (TSL) dynamically locks in profits as prices move favorably.
• Sequential Signal Logic ensures no repeated or conflicting trade signals.
3. Universal Exit (Time-Based Auto Exit)
• Automatically exits all positions at a specified time (e.g., 23:40).
• Works consistently across all timeframes (1m, 3m, 5m, etc.).
• Can be configured for selected weekdays or every trading day.
• Prevents overnight exposure and resets trading cleanly for the next session.
4. Safety and Control
• EMA buffer zones help avoid false breakouts and choppy market signals.
• Blocks new entries after a Universal Exit until a fresh crossover occurs.
• Automatically resets breakout levels and internal logic daily for consistency.
5. Visualization and Alerts
• Plots EMAs, buffer zones, breakout levels, and entry/exit markers directly on the chart.
• Highlights the Universal Exit visually with background shading.
• Sends real-time alerts for Buy, Sell, Exit, and Universal Exit events.
Why It Stands Out:
• Works reliably across multiple timeframes.
• Fully rule-based with no emotional bias.
• Highly customizable – adjust filters, targets, buffers, and exit rules as needed.
• Complete framework – handles entry, management, and exit automatically.
• Engineered for compatibility – can be integrated with most Algo trading platforms.
How It Works:
1. The Short EMA and Long EMA define the primary market direction.
2. A breakout or EMA crossover triggers a potential signal.
3. RSI and ADX filters confirm market strength before allowing entry.
4. Target, Stoploss, and TSL manage trades automatically.
5. Universal Exit closes all trades at a defined time, resetting the logic for the next session.
How to Use:
1. Apply the aEMA Cross – Long Edition indicator to your chart.
2. Choose your primary logic: Candle-based or Short EMA-based.
3. Adjust RSI, ADX, Buffer, and Target/SL settings according to your trading style.
4. Configure Universal Exit time and alert options.
5. Use the “Once Per Bar Close” alert type for confirmed signals.
6. Always backtest your configuration before enabling automation or live execution.
Important Note on Alert Setup:
- When using the RSI filter, signals may fluctuate if RSI hovers near the trigger level. To avoid this, use “Once Per Bar Close” for stable and confirmed alerts.
- If RSI is disabled, “Once Per Bar” alerts can be safely used, even when the Breakout Candle High/Low Crossover option is enabled.
Disclaimer:
• This strategy is intended for educational and research purposes only.
• It does not guarantee profits. Always perform proper backtesting and apply sound risk management before live trading.
• The author is not responsible for any financial losses resulting from its use.
Developer Information:
Developer: ikunalsingh
Built using AI + the best of human logic.
MA Cloud - Desh videsh TradingDescription:
Visualize market trends with ease using the MA Cloud + Configurable Long-Term MA indicator! This tool allows traders to quickly assess short-to-medium-term and long-term trends using customizable moving averages (EMA, WMA, SMA).
Features:
MA Cloud (35–65 default):
Represents a zone of short-to-medium term trend.
Cloud turns green when above the long-term MA → bullish trend.
Cloud turns red when below the long-term MA → bearish trend.
Gray when the trend is neutral or mixed.
Long-Term MA Line:
Fully configurable MA type (EMA/WMA/SMA) and length (default 200).
Acts as a filter for overall market trend.
Trend Label:
Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar.
Provides quick visual reference of market direction.
Customizable Inputs:
Choose MA type for each cloud line: EMA, WMA, or SMA
Adjust MA lengths for cloud lines and long-term trend line
Customize cloud and line colors for better chart visualization
How to Use:
Bullish Trend: Cloud above long-term MA → focus on long positions
Bearish Trend: Cloud below long-term MA → focus on short positions
Neutral Trend: Cloud overlapping long-term MA → avoid directional trades
VWAL Cloud + 200 Trend (v6) — Desh Videsh TradingDescription:
Visualize market trends easily with the VWAL Cloud + 200 Trend Indicator! This indicator is designed for traders who want a clear, intuitive view of trend direction using volume-weighted average lines (VWAL).
Features:
VWAL Cloud :
Shows the short-to-medium term trend zone.
Turns green when the cloud is above the 200-period VWAL (bullish).
Turns red when the cloud is below the 200-period VWAL (bearish).
Gray when the trend is neutral or mixed.
VWAL 200 Line:
Represents the long-term trend filter.
Helps identify overall market direction.
Trend Label:
Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar for quick visual reference.
How to Use:
Bullish Trend: Cloud above VWAL-200 → look for long setups.
Bearish Trend: Cloud below VWAL-200 → look for short setups.
Neutral Trend: Cloud overlapping VWAL-200 → avoid taking directional trades.
Customizable Inputs:
Cloud periods: can be changed as per your strategy
VWAL 200 period: adjust to suit longer-term trend detection
Cloud & line colors for personal preferences
CPR by VictorVCentral Pivot Range
Where price is vs CPR
Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely.
Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break.
Below BC: bearish bias; BC/TC act as resistance.
Width of the CPR
Narrow: energy coiled → higher chance of breakout/trend day.
Wide: balanced market → range-bound behavior more likely.
Shift vs yesterday
CPR shifted up: bullish undertone.
Shifted down: bearish undertone.
Overlapping: neutral/indecisive.
Intraday tells
Acceptance: Several candles holding outside BC/TC = expansion in that direction.
Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge.
Pivot (P) magnet: On non-trend days, price often gravitates back to P.
MA Crossover Strategy V6//@version=6
strategy("MA Crossover Strategy V6", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === Inputs ===
shortLength = input.int(9, title="Short MA Length", minval=1)
longLength = input.int(21, title="Long MA Length", minval=1)
useEMA = input.bool(false, title="Use EMA Instead of SMA")
// === Moving Averages ===
shortMA = useEMA ? ta.ema(close, shortLength) : ta.sma(close, shortLength)
longMA = useEMA ? ta.ema(close, longLength) : ta.sma(close, longLength)
// === Plot MAs ===
plot(shortMA, color=color.orange, title="Short MA", linewidth=2)
plot(longMA, color=color.blue, title="Long MA", linewidth=2)
// === Entry Conditions ===
longCondition = ta.crossover(shortMA, longMA)
shortCondition = ta.crossunder(shortMA, longMA)
// === Strategy Logic ===
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
// === Optional: Plot Buy/Sell Signals ===
plotshape(longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Commodity Pulse Matrix (CPM) [WavesUnchained] [Strategy]Commodity Pulse Matrix (CPM) - Strategy Version
⚠️ Development Status
ACTIVE DEVELOPMENT - This strategy is currently under heavy development and optimization. The risk management settings, entry/exit logic, and parameter tuning are still being refined and are NOT yet satisfactory for live trading.
Current development areas:
Stop-loss and take-profit optimization
Position sizing and risk management
Entry timing and signal filtering
Backtest validation across different market conditions
⚠️ Use for testing and backtesting only - NOT recommended for live trading yet!
For detailed information about the underlying indicator logic, signals, and analysis methods, please refer to the Commodity Pulse Matrix (CPM) indicator description.
Overview
The CPM Strategy is an automated trading system based on the Commodity Pulse Matrix indicator. It converts the indicator's multi-timeframe confluence signals into executable trades with dynamic ATR-based risk management.
Strategy Core Features
Signal Sources
The strategy trades based on:
Strong Buy/Sell signals from the CPM indicator
Multi-timeframe alignment (configurable: 3/3, 2/3, or score-only)
EMA-200 trend filter (prevents counter-trend entries)
Dynamic signal cooldown (5-8 bars)
Optional reversal zone signals (triple-confirmed)
Risk Management (ATR-Based)
Stop-Loss & Take-Profit
Stop-Loss: 2.5x ATR (default) - Dynamic distance based on volatility
Take-Profit: 4.0x ATR (default) - Risk/Reward ratio of 1.6:1
ATR Length: 14 periods (adjustable)
Both SL and TP adjust to current market volatility
Trailing Stop (Optional)
Enabled by default
Trails at 2.5x ATR distance
Protects profits in trending moves
Can be disabled for fixed SL/TP only
Position Management
Trade Direction Filter
Both Directions (default) - Trade both Long and Short
Long Only - Only enter long positions
Short Only - Only enter short positions
Cooldown After Exit
Default: 3 bars minimum after closing a position
Prevents immediate re-entry (whipsaw protection)
Adjustable from 0 (disabled) to any number of bars
Signal Filtering
Signal Mode (Timeframe Consensus)
Strict (3/3 TFs): All 3 timeframes must agree - Most conservative
Majority (2/3 TFs): At least 2 of 3 timeframes agree - Balanced (default)
Flexible (Score Only): Overall score threshold only - Most signals
Optional Filters
Min ABS(overallScore): Only trade when confluence score meets minimum (default: 0 = disabled)
Confirmed Bar Only: Wait for bar close before entry (prevents repainting) - Recommended ON
Strategy Settings Guide
For Conservative Trading (Lower Risk)
Signal Mode: "Strict (3/3 TFs)"
Stop-Loss: 3.0x ATR or higher
Take-Profit: 5.0x ATR or higher
Trailing Stop: Enabled
Cooldown: 5-10 bars
Min Score: 8.0 or higher
For Aggressive Trading (More Signals)
Signal Mode: "Flexible (Score Only)"
Stop-Loss: 2.0x ATR
Take-Profit: 3.0x ATR
Trailing Stop: Optional
Cooldown: 0-3 bars
Min Score: 4.0 or disabled
For Balanced Trading (Recommended Starting Point)
Signal Mode: "Majority (2/3 TFs)"
Stop-Loss: 2.5x ATR
Take-Profit: 4.0x ATR
Trailing Stop: Enabled
Cooldown: 3 bars
Min Score: 6.0-8.0
TradingView Strategy Tester Settings
Essential Settings to Configure:
Properties Tab
Initial Capital: Set to realistic account size
Order Size: Use "% of Equity" (e.g., 10-25% per trade)
Commission: Set realistic commission (e.g., 0.05% for crypto, 0.1% for stocks)
Slippage: Add realistic slippage (1-3 ticks for liquid markets)
Verify "Recalculate: On Every Tick" is DISABLED (for realistic backtests)
Inputs Tab
Adjust ATR multipliers for your market
Set appropriate cooldown period
Choose signal mode based on desired trade frequency
Enable/disable trailing stop
Configure directional filter if needed
Backtesting Recommendations
Before Using This Strategy:
Test across multiple markets - What works for one commodity may not work for another
Test different timeframes - Strategy behavior changes significantly with TF
Test different market conditions - Trending vs ranging markets
Validate performance metrics - Win rate, profit factor, max drawdown, Sharpe ratio
Forward test on paper account - Before risking real capital
Key Metrics to Monitor:
Win Rate (aim for >40% minimum)
Profit Factor (aim for >1.5)
Max Drawdown (should be acceptable for your risk tolerance)
Sharpe Ratio (higher is better, >1.0 is good)
Average Trade (should be positive after commissions/slippage)
Known Limitations
Range-bound markets: May produce more whipsaws despite filters
Low volatility: ATR-based stops may be too tight
High volatility: ATR-based stops may be too wide
News events: Strategy cannot account for fundamental shocks
Signal timing: Entry timing is still being optimized
Indicator vs Strategy
When to use the Indicator:
- Manual trading with discretion
- Confluence analysis and timing
- Multiple signal validation
- Learning market structure
When to use the Strategy:
- Automated backtesting
- System validation
- Parameter optimization
- Performance measurement
⚠️ The indicator provides richer information and context than the strategy can execute!
Technical Details
Pine Script v6
Non-repainting: Uses confirmed bars for HTF data
Strategy type: Long/Short with dynamic stops
Risk management: ATR-based (adaptive to volatility)
Position sizing: Configured in Strategy Tester
Pyramiding: Default 1 (no adding to positions)
Important Notes
⚠️ Strategy parameters are still under optimization - Current settings may not be optimal for all markets or timeframes
⚠️ Backtest thoroughly before live trading - Test across different market conditions and timeframes
⚠️ Risk management is critical - Use appropriate position sizing (1-2% risk per trade recommended)
⚠️ Market conditions change - A strategy that works in trending markets may fail in ranging markets
⚠️ Commission and slippage matter - Always include realistic costs in backtests
✅ Start with conservative settings and optimize gradually
✅ Paper trade before going live
✅ Monitor performance and adjust as needed
✅ Never risk more than you can afford to lose
Disclaimer
Educational and testing purposes only. Not financial advice.
This strategy is provided as-is for backtesting and educational purposes. Past performance is not indicative of future results. Trading involves substantial risk of loss. The developer is not responsible for any losses incurred from using this strategy. Always do your own research, backtest thoroughly, and consult with a qualified financial advisor before making trading decisions.
NEVER use this strategy with real money until:
You have thoroughly backtested it on your specific market and timeframe
You understand all parameters and their impact
You have forward tested it on a paper account
You are comfortable with the maximum drawdown and risk profile
The strategy has been marked as production-ready by the developer
Version
v1.2 - Strategy Adapter (Active Development)
Based on: Commodity Pulse Matrix v1.2 Indicator
Last Updated: 2025-10-10
For detailed indicator documentation, see the Commodity Pulse Matrix (CPM) indicator description.
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool
This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights.
Key Features:
• Automatic Bull/Bear Market Zone Detection with color-coded areas
• Historical Halving Analysis (2012-2028) with future projections
• Live Performance Tracking during bull phases (returns, max drawdown)
• Customizable cycle parameters (days before/after halving)
• Interactive info table showing current cycle phase and metrics
• Visual timeline markers for halving dates and cycle boundaries
Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
Uptrick: Volatility Adjusted TrailIntroduction
The "Uptrick: Volatility Adjusted Trail" is a dynamic trailing band indicator. It adapts in real time to changing market conditions by adjusting both to volatility and trend consistency. Inspired by Supertrend-style logic, it enhances traditional approaches by introducing adaptive mechanisms for more context-sensitive behavior in both trending and consolidating environments.
Overview
This indicator combines an exponential moving average (EMA) as its basis with an Average True Range (ATR)-derived multiplier that adjusts dynamically. Unlike fixed-multiplier tools, this indicator modifies its band distances in real time according to volatility expansion and trend persistence. The result is a trailing system that adapts to the prevailing market regime, providing traders with clearer signals for trend bias, stop placement, and potential momentum shifts.
Originality
The script’s originality lies in its multi-layered approach to trail calculation. It introduces a real-time ATR multiplier adjustment driven by two factors: a volatility expansion ratio and a trend persistence model. The expansion ratio compares the current ATR to its moving average, making the indicator more sensitive during volatile conditions and less sensitive during quieter periods. The trend persistence model assesses directional consistency to widen the bands during sustained trends. This dual adjustment method creates a system that evolves with market behavior, making it more responsive and adaptive than static-band or fixed-multiplier alternatives.
Components & Inspiration
This indicator was designed with specific components that work together:
Exponential Moving Average (EMA): Chosen as the central baseline because it responds faster to recent price changes than a simple moving average, providing a more current reference for trailing bands.
Average True Range (ATR): Used as the volatility measure because it accounts for both intraday and gap movement, making it a robust and widely accepted standard for market volatility.
Dynamic Multiplier: The multiplier is adjusted by both volatility expansion and trend persistence to produce bands that tighten during low volatility and widen during consistent trends. This combination was chosen to give the indicator the ability to self-regulate across different market regimes.
Trend Persistence Model: Integrated to assess directional consistency, ensuring the bands expand during strong trends, which can prevent premature stop-outs.
Flip Confirmation Logic: Added to filter out noise by requiring multiple bar closes beyond a band before confirming a state change, reducing false reversals.
For inspiration, the indicator draws on the core idea behind Supertrend—using a baseline and volatility-derived bands to define trailing stop levels. However, while Supertrend uses a fixed ATR multiplier, this indicator introduces a dynamic multiplier system and persistence weighting, making it more adaptive and suited for varying conditions.
Inputs and Parameters
Basis EMA Length
Defines the period for the EMA that serves as the core price reference.
ATR Length
Sets the lookback period for the Average True Range calculation used in band spacing.
Base ATR Mult
The base multiplier applied to ATR before adjustments. Forms the starting scale of the band offset.
Volatility Expansion Sensitivity
Controls how strongly the band spacing reacts to short-term volatility bursts. Higher values create more pronounced band expansions or contractions.
Trend Persistence Window
Determines how many bars are used to calculate directional trend consistency using a smoothed step function.
Persistence Impact
Scales how much influence the trend persistence has on band widening. Values range from 0 (no effect) to 1 (maximum effect).
Min Effective Mult
Sets the minimum value that the adjusted multiplier can reach. Prevents the bands from becoming too narrow.
Max Effective Mult
Sets the maximum value the adjusted multiplier can reach. Prevents the bands from over-expanding during high volatility.
Bars Above/Below to Confirm Flip
Number of consecutive bars required to close above or below the opposing trail before confirming a bullish or bearish flip. Helps reduce noise and false signals.
Show Flip Labels
Enables or disables the display of flip markers on the chart.
Label Size
Allows users to adjust the size of flip labels from Tiny to Huge.
Label ATR Offset
Adjusts the vertical placement of flip labels in relation to the trail using an ATR-based offset.
Features and Logic
EMA Basis: All calculations stem from an EMA that tracks the centerline of price action.
Dynamic ATR Multiplier: The ATR multiplier adjusts in real time based on volatility expansion and trend persistence.
Clamped Multiplier: The adjusted multiplier is limited between user-defined minimum and maximum values to keep the band scale practical.
Upper and Lower Bands: Bands are plotted above and below the EMA using the dynamic multiplier and ATR values.
Trailing Logic: The script uses Supertrend-style trailing logic, updating the active band in the current trend direction and resetting the opposite band.
Trend State Detection: A state variable tracks the current market regime (bullish, bearish, or neutral). Transitions are confirmed only after a user-specified number of bars close beyond the respective bands.
Visual Elements: Trail lines and fill zones are color-coded (bullish cyan, bearish magenta). Candlestick and bar colors match the trend state. Optional flip labels mark confirmed transitions.
Alerts: Built-in alert conditions allow users to receive real-time notifications for bullish or bearish flips.
Usage Guidelines
This indicator can be used for:
Defining context-aware dynamic stop levels that adjust with market behavior.
Identifying trend direction and reversal points based on adaptive logic.
Filtering entry or exit signals during trending vs. consolidating conditions.
Supplementing trade management strategies with responsive visual markers.
Entering long or short positions based on the appearance of flip labels and managing stop losses by following the adaptive trail.
Traders may tune the parameters to suit different trading styles or timeframes. For example, lower ATR and EMA values may suit intraday setups, while longer settings may benefit swing or positional trading.
Summary
The "Uptrick: Volatility Adjusted Trail" provides a flexible, adaptive trailing band system that accounts for both volatility and directional consistency. By combining an EMA baseline with a dynamic ATR multiplier influenced by volatility expansion and trend persistence, it creates a context-sensitive trailing system that aligns with changing market conditions. Customizable confirmation, flip labels, alerts, and dynamic visual cues make it a versatile tool for trend-following, breakout filtering, and trailing stop logic.
Disclaimer
This indicator is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Rebound Sigma Pro - IndicatorOverview
Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets.
It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones.
Concept
The indicator combines two quantitative components:
Short-term momentum to detect short-term exhaustion
Trend filter to ensure setups align with the long-term direction
When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted.
The trade is then tracked until short-term conditions normalize or a time-based exit occurs.
Visual Signals
Green Triangle: Suggests placing a limit order for the next session
Green Circle: Confirms entry was filled
Red Triangle: Signals an exit for the next session’s open
Orange Background: Pending order
Green Background: Position active
Red Background: Exit phase
Yellow Line: Entry reference price
User Inputs
Limit Entry (% below previous close) – Default 1 %
Use Limit Entry – Switch between limit or market entries
Enable Time Exit – Optional holding-period constraint
Maximum Holding Days
All other internal parameters (momentum length, filters) are pre-configured.
Alerts
Limit Order Signal: New setup detected
Entry Confirmed: Order filled
Exit Signal: Exit expected next day
Usage
Designed for liquid equities and ETFs
Works best in confirmed uptrends
Backtesting encouraged to adapt parameters per symbol and timeframe
Notes
Not an automated strategy; manual order execution required
Past behavior does not imply future performance
Always apply sound position sizing and risk management
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or performance assurance.
