ATR Impulse Reversal Traffic-Light + RSI Overlay (Normalised)ATR Impulse Reversal Traffic-Light + RSI Overlay (Normalised)
Short Title
Impulse TL + RSI (Norm)
Description (use this exactly)
What this indicator does
This indicator is a calm, context-gated reversal oscillator designed to reduce noise and cognitive overload.
It highlights potential reversal conditions only when price is stretched and momentum shows signs of turning.
The goal is not frequent signals, but clear decision states.
How it works (logic overview)
Stretch Band Gate (Location)
Price must be stretched below a lower ATR band (EMA ± ATR). If price is not stretched, the indicator remains neutral.
Oversold Context
ATR-normalised momentum must have reached an oversold condition within a recent lookback window.
Reversal Timing (Momentum)
Momentum is analysed for early turning behaviour and confirmed reversals.
Traffic-Light Colours
Grey → Ignore (no stretch and/or no oversold context)
Red → Stretched + oversold, momentum still falling
Orange → Momentum turning up (early warning)
Green → Reversal confirmed (signal-line cross or zero cross)
An optional GREEN Hold is included to reduce flicker and visual noise.
RSI Overlay
RSI is plotted normalised to the oscillator scale, allowing it to sit directly on top of the impulse bars for visual confluence.
RSI is not used in the traffic-light logic and is purely informational.
Suggested Use
Best suited for 4H swing trading
Use GREEN states when price remains stretched below the band
Can be paired with a higher-timeframe trend filter if desired (not included)
Repainting & Disclaimer
This script uses only current and historical bar data and does not use security().
Values may update on the realtime bar before close, which is normal TradingView behaviour.
This indicator is provided for educational purposes only and is not financial advice.
Chỉ báo và chiến lược
High Breakout PRO - Huy Hoang Trader
# High Breakout PRO - Huy Hoang Trader - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
Ross GPT - Momentum Scalp 1mThis strategy is a long-only momentum scalping system designed for the 1-minute timeframe, combining VWAP, EMA trend alignment, MACD momentum, volume confirmation, and session filtering to identify high-probability intraday entries for pre-market session and U.S small cap stocks with high % change compared to previous day. Apply only for stock price between $2-$20.
⸻
1️⃣ Date Range Filter
The strategy trades only within a user-defined date range.
• Default range: Feb 1, 2026 – Dec 31, 2069
• Trades are ignored outside this period
• Useful for controlled backtesting and forward testing
⸻
2️⃣ Indicators Used
VWAP
• Used as a trend and mean-reversion filter
• Only long trades are allowed when price is above VWAP
MACD (12, 26, 9)
• Momentum confirmation
• Entry requires MACD line > Signal line
• Exit is triggered if MACD crosses below Signal
Exponential Moving Averages
• EMA 9
• EMA 20
• EMA 50
• EMA 200 (visual reference)
Trend Bias Requirement
• Bullish alignment:
• EMA 9 > EMA 20 > EMA 50
Volume Strength (Price Action Proxy)
• Counts bullish candles over the last 5 bars
• Entry requires at least 3 green candles
• Used as a confirmation of buying pressure
⸻
3️⃣ Session Filter
Trades are allowed only during a specific intraday session:
• 06:59 – 09:00 (exchange time)
• Designed to focus on high-liquidity morning momentum
⸻
4️⃣ Entry Conditions (Long Only)
A buy signal is generated when all of the following are true:
• Price is above VWAP
• MACD line is above Signal line
• EMA alignment confirms bullish trend
• Bullish candle count condition is met
• Current bar is within the allowed session
• Current bar is within the selected date range
• No existing open position
Only one position at a time is allowed.
⸻
5️⃣ Trade Execution
• Market entry when all conditions align
• Fixed position sizing (default: 500 units)
• Commission and slippage are included for realism
⸻
6️⃣ Exit Logic
Primary Exit (Bracket Order)
• Take Profit: +0.25
• Stop Loss: -0.10
• Managed using strategy.exit for intra-bar accuracy
Indicator-Based Exit
• If MACD crosses below the Signal line, the position is closed immediately at market
This dual exit system allows both quick scalps and early momentum failure exits.
⸻
7️⃣ Visual Aids
The strategy plots all key indicators used in decision-making:
• EMA 9, 20, 50, 200
• VWAP
This allows easy visual verification of entries and exits directly on the chart.
⸻
⚠️ Notes
• Designed for scalping and short-duration trades
• Best suited for high-liquidity instruments
• Results may vary depending on symbol, spread, and market conditions
• This script is for educational and research purposes only
ZigZag with Day Count + AveragesThis indicator plots a ZigZag structure and measures how long each completed trend leg lasts in calendar days. Each confirmed leg is labelled with its duration, positioned away from price using an ATR-based offset so labels remain readable and unobstructed by candles.
Uptrend and downtrend legs are automatically colour-coded, and the indicator tracks rolling averages of trend duration to provide context on how long trends typically persist.
Key features:
ZigZag trend legs based on configurable deviation and depth
Day-count label for every completed leg
Clear, high-contrast labels offset from price
Automatic colouring for up and down trends
Rolling average duration of the last N uptrends and downtrends (default: 20)
Optional extension of the current, in-progress leg
How to use:
Identify potential trend exhaustion by comparing the current leg length to historical averages
Gauge whether a trend is statistically extended or still within normal duration
Combine with price action, support/resistance, or momentum indicators for confirmation
Works on all timeframes. On daily charts, day counts align closely with bars; on intraday charts, durations are calculated using calendar time.
JB Trader - Scenario B: Visual Pro (Nifty 50)Description: Designed and developed by Jeya Bharathi (JB), Founder of JB Trader.
This is a high-precision scalping strategy specifically optimized for Nifty 50 and Bank Nifty. It combines trend-following logic with momentum and volume confirmation to capture quick moves in the intraday market.
Key Features:
Multi-Indicator Synergy: Integrates SuperTrend for trend direction and VWAP for institutional price alignment.
Candle Break Confirmation: Entries are triggered only when a price break occurs (High/Low) on the signal candle, ensuring momentum is on our side.
Volume Filter: Built-in volume analysis to filter out "false breakouts" during low-liquidity periods.
Visual Dashboard: Real-time on-chart table showing current trend status and decision-making (Buy/Sell/Wait).
Time-Restricted Trading: Optimized for Indian market hours (9:15 AM - 2:45 PM) to avoid end-of-day volatility.
Best Performance:
Timeframe: 3 Minutes or 5 Minutes.
Asset: Nifty 50 Index / Futures.
Declaration & Disclaimer:
Educational Purpose: This script is developed for educational and analytical purposes only.
Risk Warning: Trading involves significant risk. JB Trader is not responsible for any financial losses incurred using this strategy.
No Financial Advice: The signals generated by this script do not constitute financial advice. Users should consult a certified financial advisor before making any investment decisions.
Proprietary Logic: This code is the intellectual property of JB Trader (Jeya Bharathi). Unauthorized reproduction or redistribution is strictly prohibited.
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster
The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals.
Key Features
Combines classic RSI calculation with Fourier-based filtering for noise reduction
Dynamically adapts to price momentum using Relative Strength filtering
Provides clear bullish and bearish trend signals with customizable thresholds
Includes overbought and oversold levels for better entry and exit timing
Plots divergence histogram to highlight momentum changes
Candle coloring aligns with trend direction for intuitive reading
Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds
How It Works
Calculates a standard RSI on the selected price source over the chosen length.
Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant).
Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves.
Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends.
Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles.
Inputs Overview
Length — RSI calculation period
Source — Price input (default: close)
Filter Length — Length for Relative Strength filter
Fourier Length — Number of bars used for Fourier transform
Upper Threshold — Level above which bullish trend is signaled
Lower Threshold — Level below which bearish trend is signaled
Overbought — RSI level considered overbought
Oversold — RSI level considered oversold
Usage Notes
Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets.
Can be combined with other indicators or price action for better confirmation.
Adjust Fourier length and filter parameters to balance smoothness and responsiveness.
Use divergence histogram to spot momentum shifts early.
Candle coloring makes trend identification more intuitive.
Not a standalone trading signal — always backtest and manage risk accordingly.
Shout Out
Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator.
Disclaimer
This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
M5 EMA Pullback Scalper (Anti-Chop + Dynamic Boxes)M5 EMA Pullback Scalper (Anti-Chop + Dynamic Boxes)
ICT Kill Zones PanelICT Kill Zones Panel - Clean & Simple Trading Sessions Indicator
A simple, objective indicator to identify ICT Kill Zones with real-time status and smart visual highlighting based on New York timezone.
WHAT MAKES IT DIFFERENT:
Traditional indicators clutter charts with dozens of colored boxes from past sessions. This tool provides a clean alternative:
- Real-time information panel showing current active session
- Smart dual-transparency painting: ACTIVE session displays stronger (more visible), historical sessions display softer (less clutter)
- Accurate session timing: Only shows active when session is actually happening
- Mobile-optimized size for phone trading
- Professional interface that doesn't interfere with price action
FEATURES:
- Real-Time Detection: Panel uses actual NYC time (timenow) to show which session is active NOW
- Precise Timing: Sessions activate ONLY during their specific time windows - all zones show inactive outside trading hours
- Smart Visual System: Currently active session has stronger background color, past sessions are softer
- Color Synchronization: Active session color in panel matches chart background color automatically
- Clean Highlighting: Optional background painting with adjustable transparency levels
- Full Customization: 9 panel positions, 4 sizes (Mobile/Small/Normal/Large), fully customizable colors
- All Sessions: Asian (20:00-01:00), London (02:00-05:00), NY AM (08:00-11:00), London Close (10:00-12:00), NY PM (13:00-16:00)
KILL ZONE SCHEDULE (NYC TIME):
1. Asian: 20:00 - 01:00 (5 hours)
2. INACTIVE: 01:00 - 02:00
3. London: 02:00 - 05:00 (3 hours)
4. INACTIVE: 05:00 - 08:00
5. NY AM: 08:00 - 11:00 (3 hours) - overlaps with London Close
6. London Close: 10:00 - 12:00 (2 hours) - overlaps with NY AM
7. INACTIVE: 12:00 - 13:00
8. NY PM: 13:00 - 16:00 (3 hours)
9. INACTIVE: 16:00 - 20:00
During INACTIVE periods, all sessions show as inactive in the panel.
COLOR SYSTEM:
ALL COLORS ARE FULLY CUSTOMIZABLE:
- Each Kill Zone has its own color setting (Asian, London, NY AM, London Close, NY PM)
- Default colors shown in screenshots are just examples
- Active session in panel: displays with its assigned color (e.g., green for NY AM by default)
- Same color appears on chart background with adjustable transparency
- Inactive sessions in panel: display with gray (also customizable)
- Panel background and text colors: fully customizable
- Choose colors that match your chart theme
The green color shown for active sessions in examples is the DEFAULT color for NY AM - you can change it to any color you prefer.
TRANSPARENCY SYSTEM EXPLAINED:
ACTIVE SESSION (happening right now):
- Default 70% transparency = STRONGER/MORE VISIBLE background
- Instantly shows which Kill Zone is unfolding
- Panel row highlights with the session's assigned color
- Chart background displays same color stronger
HISTORICAL SESSIONS (already passed):
- Default 90% transparency = SOFTER/LESS VISIBLE background
- Provides context without visual clutter
- Panel rows show gray (inactive color)
- Both transparency levels fully adjustable in settings
MOBILE OPTIMIZED:
Select "Mobile" panel size for optimal viewing on phone screens - compact layout perfect for smaller displays.
REPAINTING BEHAVIOR:
Panel Status & Colors: Update in real-time as sessions change - panel color switches to match the new active session (intentional for current awareness)
Active Session Highlighting: Adjusts in real-time to show current session stronger on chart
Historical Background Colors: Do NOT repaint - accurately mark when sessions occurred
Session Activation: Sessions activate and deactivate precisely at their scheduled times
CUSTOMIZATION:
- Panel: 9 positions, 4 sizes including Mobile
- Colors: Individual customizable color for each Kill Zone
- Panel Colors: Customizable background, text, and inactive zone colors
- Transparency: Separate controls for active (default 70%) and historical (default 90%) sessions
- Toggle: Show/hide individual zones
- Chart Painting: On/off
HOW TO USE:
1. Add to chart - panel appears top-right
2. Active session displays with its assigned color in panel and stronger on chart
3. Panel shows all zones as inactive during non-trading hours (accurate timing)
4. Panel color automatically changes when new session begins
5. Adjust all colors in settings to match your preferences
6. Adjust transparency settings for optimal visibility
7. Use "Mobile" size for phone trading
BEST FOR:
- ICT traders timing entries during high-liquidity periods
- Smart money concepts (FVG, Order Blocks, Liquidity)
- Traders who want clean charts with essential information
- Traders needing accurate session timing without false signals
- Mobile traders needing compact, clear displays
- Traders who want to customize colors to match their chart theme
TECHNICAL:
- Works on all timeframes
- Built with Pine Script v6
- NYC timezone with automatic DST adjustment
- Precise hour-based session detection
- Lightweight and optimized
- Open source
FEEDBACK WELCOME:
All comments, critiques, and suggestions are welcome! Your input helps improve this tool for the trading community.
Created by ivrank13 for traders who value simplicity, accuracy, and clean charts.
© 2026 ivrank13. All Rights Reserved.
#ICT #KillZones #SmartMoney #ForexSessions #CleanCharts #MobileTrading #CustomColors #AccurateTiming
POA BY NARENDRA SAHUPrice action in the share market refers to the movement of a security's price over time, analyzed through raw price data like charts, candlesticks, and OHLC (open, high, low, close) values. It is a form of technical analysis used by traders to identify trends, volatility, and key support/resistance levels without relying on lagging indicators.
Fair Value Gaps [MattyBTradez]This indicator marks out every Fair Value Gap, and the colors are customizable.
DG Channel + Reversal Alerts//@version=5
indicator("Channel + Reversal Alerts", overlay=true)
//==================================================
// 1. НАСТРОЙКИ КАНАЛА
//==================================================
length = input.int(100, "Длина канала", minval=10)
// Канал по High / Low (надёжно и наглядно)
upper = ta.highest(high, length)
lower = ta.lowest(low, length)
// Рисуем канал
plot(upper, "Верхняя граница", color=color.red, linewidth=2)
plot(lower, "Нижняя граница", color=color.green, linewidth=2)
//==================================================
// 2. ЛОГИКА КАСАНИЙ
//==================================================
touchUpper = high >= upper
touchLower = low <= lower
touchUpper_first = touchUpper and not touchUpper
touchLower_first = touchLower and not touchLower
//==================================================
// 3. ПРОБОИ И РАЗВОРОТЫ
//==================================================
// Закрытие свечи вне канала
closeAbove = close > upper
closeBelow = close < lower
// Тень вышла за канал, а закрытие внутри
wickAbove = high > upper and close <= upper
wickBelow = low < lower and close >= lower
// Разворот = закрытие ИЛИ тень вне канала
reversalUpper = closeAbove or wickAbove
reversalLower = closeBelow or wickBelow
// Только первое появление, чтобы не спамило
reversalUpper_first = reversalUpper and not reversalUpper
reversalLower_first = reversalLower and not reversalLower
//==================================================
// 4. АЛЕРТЫ
//==================================================
// КАСАНИЕ
alertcondition(touchUpper_first, title="Upper touch", message="⬆️ касание")
alertcondition(touchLower_first, title="Lower touch", message="⬇️ касание")
// РАЗВОРОТ
alertcondition(reversalUpper_first, title="Upper reversal", message="⬆️ разворот")
alertcondition(reversalLower_first, title="Lower reversal", message="⬇️ разворот")
Pivot Point ORIGINAL + Breaksalarms pivots points.......................................................................................................................................................
Gaussian MA - Progressive Multi-FilterThe previously published indicator based on Watson's Quadratic kernel was a bit complicated and "quadratic" in its calculations – it's an old indicator, and I've updated it a bit. I'm currently using Gaussian MA due to its simpler design and additional features that the former lacked.
Gaussian MA is an advanced trend-following indicator that combines statistical data smoothing with dynamic noise filtering. Here's a step-by-step analysis:
1. Gaussian Kernel Regression - the heart of the script is the gaussian_regression_max function. Instead of a simple average, it calculates a weight for each past price using a Gaussian distribution (bell curve):
Weights: Prices closest to the current candlestick have the greatest impact on the result, while those further away lose their importance exponentially.
The result: A very smooth line (yhat) that reacts faster than traditional moving averages while maintaining high resistance to short-term price spikes.
2. Progressive Volume Filter (ALMA Volume) - this is a unique part of the code that adjusts the indicator's sensitivity to market activity:
- the script calculates the moving average volume using the ALMA algorithm. The vol_ratio (current volume / average volume) is calculated.
Logic: If volume increases, the prog_factor decreases. This makes the filter thresholds "tighter," allowing the indicator to react more quickly to strong moves supported by high volume.
3. Dynamic Thresholds (Hysteresis) Instead of reacting to every change in the direction of the yhat line, the code calculates a "safety zone" (filter) that the price change must break through to signal a new trend:
- ATR: Threshold based on volatility (Average True Range).
- Percentage: Threshold percentage of the current price.
Both thresholds are multiplied by the previously mentioned prog_factor (volume).
4. Trend Detection and Visualization
Finally, the script compares the change in the regression value (diff) with the calculated thresholds:
- Bullish: If the change is positive and greater than the dynamic threshold.
- Bearish: If the change is negative and less than the negative threshold.
Result: The color of the line on the chart changes (green/red), and the alertcondition function allows you to set a notification when the color changes.
In short: Gaussian MA is an intelligent average that "knows" when the market is chaotic (it then increases the filtering thresholds) and when real momentum with volume is emerging (it then becomes more sensitive).
How to optimize the indicator parameters:
1. for the h parameter - (Lookback Window)
The h parameter controls the degree of regression smoothing. The higher the timeframe (e.g., Daily), the smaller h can be; on lower timeframes (e.g., 1m, 5m), you need more smoothing.
- For Scalping (1m - 5m): Set h in the range of 2.5 - 4.0. Noise on lower timeframes is high, so you need a "heavier" Gaussian kernel.
- For Day Trading (15m - 1h): Set h in the range of 1.5 - 2.5. This is the golden mean for ensuring liquidity without significant lag.
- For Swing (4h - Daily): Set h in the range of 0.75 - 1.5.
Trends on higher timeframes are stronger, so a smaller smoothing will allow for faster movement.
2. Calibrate vol_sens (Volume Sensitivity)
This parameter determines how much a "volume spike" facilitates a trend change.
- High Sensitivity (0.7 - 1.0): Aggressive approach. Even a small increase in trading volume will cause the indicator to react to price changes. Good for currency pairs with low liquidity.
- Low Sensitivity (0.1 - 0.4): Conservative approach. The indicator will ignore price movements unless accompanied by heavy volume (so-called "smart money"). Ideal for filtering out false positives (fakeouts).
It's safest to start with a setting of 0.5...
The above guidelines are indicative and are intended only to facilitate the use of the indicator - there are no perfect trading solutions; this indicator attempts to mathematically indicate points where entries/exits are statistically highly probable...
Works well with the MACD ALMA Edition ;)
Sai & Deb DMISai & Deb DMI with horizontal lines. Existing DMI lines are used and various levels can be drawn between 0 and 100 to see the trend reversals.
High&Low - Scalping🔹 High and Low Scalping – Key Levels Indicator 🔹
High and Low Scalping is an indicator designed for active traders and scalpers who want to instantly identify the most important price levels in the market.
The indicator automatically plots:
📈 The monthly high and low
📊 The previous week's high and low (weekly)
⏱️ The previous day's high and low (daily)
These levels are recognized as major liquidity zones, which are often respected by the price and used by institutions.
⚙️ Main features
✔️ 100% automatic update
✔️ No manual calculations required
✔️ Clear and quick reading of the market
✔️ Compatible with scalping, day trading, and intraday trading
🎯 Why use High and Low Scalping?
Identify price reaction zones
Spot precise scalping opportunities
Improve entry and exit timing
Trade with a clean and objective market structure
This indicator is an essential tool for any trader who wants to rely on reliable, simple, and effective technical levels without overloading their chart.
Commodity Channel Index - CCIOverview
This enhanced Commodity Channel Index (CCI) indicator provides traders with a sophisticated visualization of market momentum and trend direction. By combining the classic CCI oscillator with customizable moving averages and advanced visual features, it offers clear signals for identifying bullish and bearish market conditions.
Core Functionality
Indicator Components
CCI Oscillator - Measures how far current price deviates from its statistical average
Moving Average Filter - Smooths CCI values using your choice of 7 MA types
Visual Zones - Color-coded overbought/oversold areas with gradient fills
Market Bias Display - Prominent bullish/bearish label for quick interpretation
Key Features
📊 Customizable Calculations
Adjust CCI period (default: 55) for sensitivity tuning
Select MA type (EMA, SMA, WMA, HMA, etc.) and period (default: 30) for smoothing
Flexible moving average system supporting multiple calculation methods
🎨 Advanced Visualization
Dynamic Color Coding: CCI line turns green when bullish (>50), red when bearish (≤50)
Gradient Fill Zones:
Green gradient between CCI and midline for overbought region (200 to 0)
Red gradient between CCI and midline for oversold region (0 to -100)
Multiple Plot Layers: CCI line, MA line, midline, and fill areas for comprehensive view
🔍 Clear Signal Interpretation
Bullish Condition: CCI > 50 (green zone)
Bearish Condition: CCI ≤ 50 (red zone)
Overbought Warning: CCI in upper gradient zone
Oversold Opportunity: CCI in lower gradient zone
📱 User-Friendly Display
Large "⬆️ Bullish" or "⬇️ Bearish" label in corner for immediate bias assessment
Thick CCI line (width 3) for easy visibility
Yellow MA line for trend direction confirmation
Trading Applications
Trend Identification
Use CCI position relative to 50 midline for trend bias
MA line confirms trend strength and direction
Long periods (110/30) optimized for capturing sustained trends
Potential Reversal Zones
Gradient fills highlight overbought/oversold extremes
Watch for CCI crossing the 50 level for trend change signals
Combine with MA line crosses for confirmation
Market Sentiment Assessment
Quick visual scan of color reveals current market bias
Label provides unambiguous bullish/bearish classification
Multiple timeframes supported through adjustable periods
Usage Recommendations
📈 For Trend Following:
Trade in direction indicated by CCI > 50 (bullish) or ≤ 50 (bearish)
Use MA line as dynamic support/resistance for CCI
Consider entries when CCI pulls back toward 50 in trend direction
🔄 For Mean Reversion:
Watch for extremes in gradient zones for potential reversals
Monitor for CCI crossing back through 50 after reaching extremes
Use MA line as confirmation for reversal validity
⚖️ For Confirmation:
Pair with other indicators for signal confirmation
Use as secondary tool to validate primary trading system signals
Adjust periods to match your trading timeframe
Customization Options
CCI Length: Adjust sensitivity (higher = smoother, lower = more responsive)
MA Type & Length: Choose smoothing method and period
Visual Elements: All colors and fills are built-in but based on logic conditions
Unique Advantages
Immediate Clarity: Color-coding and label remove interpretation ambiguity
Enhanced Visualization: Gradient fills provide intuitive overbought/oversold zones
Dual Analysis: Combines oscillator (CCI) with trend tool (MA) in one view
Flexible Configuration: Multiple MA types accommodate different trading styles
This indicator transforms the traditional CCI into a comprehensive trading tool that provides clear visual cues for market direction, momentum extremes, and trend confirmation—all in a single, customizable package.
Long-Term Investment Manager [Manual]Long-Term Investment Manager (Manual) is a portfolio decision support indicator designed for investors managing long-horizon equity or crypto positions with a rules-based, evidence-informed framework.
This script is not a trading signal generator and does not place orders. Instead, it functions as a structured portfolio advisor that contextualizes price action relative to trend, volatility, momentum, and your own cost basis, then translates that context into clear, interpretable guidance.
Core Philosophy
The indicator formalizes how disciplined long-term investors typically think:
Stay invested in primary uptrends
Protect capital when trends break
Trim into strength, not fear
Accumulate selectively during healthy pullbacks
Anchor decisions to entry price and position size, not emotions
What You Configure (Manual by Design)
Average Buy Price – your actual cost basis
Position Size – used for unrealized PnL calculation
Profit Trim Targets – two customizable percentage levels
Volatility Stop Multiplier – controls long-term trailing risk
This ensures the indicator adapts to your portfolio, not a hypothetical backtest.
Evidence-Based Components
200-period Simple Moving Average
Defines the long-term trend using a widely accepted institutional standard.
ATR-based Volatility Stop (Chandelier-style)
Adjusts dynamically to market noise and provides an objective exit when the trend fails.
Relative Strength Index (RSI) + Bollinger Bands
Identifies extension and overheating for profit trimming, and controlled pullbacks for accumulation.
Decision Hierarchy (Capital First)
The logic prioritizes decisions in a strict order:
Exit / Capital Protection
Triggered when price breaks the volatility stop or falls below the long-term trend.
Profit Management
Graduated trimming based on extension and predefined return thresholds.
Accumulation or Hold
Differentiates between healthy pullbacks in an uptrend versus conditions that warrant patience.
Visual & Dashboard Outputs
Entry price and profit targets plotted directly on the chart
Long-term trend and trailing stop visualized clearly
A compact dashboard displaying:
Return on investment percentage
Unrealized profit or loss in currency terms
Current recommended action
Explicit reasoning behind that action
Distance to stop as a quantified risk metric
Intended Use
This tool is best suited for:
Long-term investors managing core positions
Swing-to-position traders seeking structure and discipline
Portfolio managers who prefer rules over reactions
It is intentionally manual, transparent, and conservative—designed to support judgment, not replace it.
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice. Always integrate broader risk management and personal judgment when making investment decisions.
Multiple SMA (Configurable + Labels)This script allow display up to 4 SMA lines. Users can configure the input values for each SMA line.
CRT + Turtle Soup IndicatorEste proyecto combina dos poderosas metodologías de trading basadas en conceptos de ICT (Inner Circle Trader):
Candle Range Theory (CRT) se fundamenta en la identificación de rangos de velas en timeframes superiores y la detección de raids de liquidez. La teoría sostiene que cuando el precio captura la liquidez de un lado del rango (high o low), tiende a moverse hacia el lado opuesto. Este comportamiento se basa en el principio de que el mercado se mueve principalmente por dos razones: balancear desequilibrios (imbalances) y cazar liquidez.
Turtle Soup es una estrategia que capitaliza los false breakouts (rupturas falsas) de niveles clave de soporte y resistencia. El nombre proviene de una referencia humorística al sistema "Turtle Trading" de los años 80, que operaba breakouts reales. Turtle Soup hace exactamente lo contrario: identifica cuando el precio rompe un nivel clave temporalmente para cazar stops, y luego revierte rápidamente en la dirección opuesta.
La combinación de ambas estrategias proporciona un marco robusto para identificar puntos de reversión de alta probabilidad, especialmente cuando se confirman con cambios en la estructura de mercado (Market Structure Shift).
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This project combines two powerful trading methodologies based on Inner Circle Trader (ICT) concepts:
Candle Range Theory (CRT) is based on identifying candlestick ranges on higher timeframes and detecting liquidity raids. The theory states that when the price captures liquidity on one side of a range (high or low), it tends to move to the opposite side. This behavior is based on the principle that the market moves primarily for two reasons: to balance imbalances and to hunt for liquidity.
Turtle Soup is a strategy that capitalizes on false breakouts of key support and resistance levels. The name comes from a humorous reference to the "Turtle Trading" system from the 1980s, which traded real breakouts. Turtle Soup does the exact opposite: it identifies when the price temporarily breaks a key level to trigger stop-loss orders, and then quickly reverses in the opposite direction.
The combination of both strategies provides a robust framework for identifying high-probability reversal points, especially when confirmed by market structure shifts.






















