RSI Strength & Consolidation Zones (Zeiierman)█ Overview
RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending — it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement.
Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities.
█ Its uniqueness
Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they won’t tell you how strong that condition is, or whether it’s likely to result in continuation or consolidation.
This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move.
█ How It Works
⚪ Enhanced RSI
Combines traditional RSI and a custom RSI implementation
Smooths both through a Kalman filter for trend direction
Final RSI line reflects smoothed consensus between manual and built-in RSI
Adds an RSI + Strength overlay to show when the directional conviction is increasing
⚪ ADX-Driven Strength Layer
Directional Movement Index (DMI) is calculated both manually and with built-in smoothing
The average ADX value is used to calculate a strength modifier
When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force
Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions
⚪ Consolidation Zone Detection
When ADX falls below 20, the indicator enters a consolidation zone state
Boxes are drawn dynamically to contain the price within these low-volatility structures
Once the price breaks out of the zone, the indicator plots a breakout signal (▲ or ▼)
⚪ Breakouts
Breakout markers are placed at the first close outside the consolidation box
These signals serve as early indicators for potential trend continuation or reversal
█ How to Use
⚪ Confirm Momentum Strength
Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation.
⚪ Consolidations Zones
When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout.
⚪ Use Breakout Signals for Entry
Look for ▲ or ▼ markers as early triggers. These often coincide with volume expansions or structural breaks.
█ Settings Explained
RSI Length – Number of bars used for RSI. Shorter = more sensitive.
DMI Length – Used in both custom and built-in ADX/DI calculations.
ADX Smoothing – Smooths the trend strength signal. Higher values = smoother strength detection.
Trend Confirmation (Filter Strength) – Adjusts the responsiveness of the Kalman filter.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicators and strategies
Options Volume [theUltimator5]📊 Option Volume — Multi-Strike Option Flow Visualizer
The Option Volume indicator tracks and visualizes volume activity for up to 10 custom option strike symbols on any ticker. It supports both individual strike analysis and a combined cumulative volume mode, providing an intuitive view of option flow across your selected strikes.
🔧 Features:
Dynamic Strike Control: Select up to 10 strikes and customize each with ticker, expiration date (YYMMDD), and option type (Call or Put).
Volume Display Modes:
🔹 Individual: Shows a separate volume bar for each strike.
🔸 Cumulative: Combines all selected strike volumes into a single bar, colored green for Calls and red for Puts.
Customizable Table Display:
Toggle the option symbol table on/off.
Position the table in any corner of the chart.
Table cell colors match plotted bars in Individual mode, or turn red/green in Cumulative mode based on option type.
Smart Volume Filtering: Only shows volume bars on the bar where volume updates (i.e., no carryover from stale bars).
Input Efficiency: All strike prices are automatically rounded to the nearest 0.5 increment for standardized symbol formatting.
⚙️ How to Use:
Select the ticker you want to analyze.
Input the expiration date and option type (C or P).
Define strike prices (up to 10).
Toggle between Individual or Cumulative volume display.
Adjust the number of visible strikes and table position as needed.
This tool is ideal for traders looking to monitor strike-level option volume behavior, spot flow anomalies, or keep track of high-interest strike activity in real-time.
The indicator currently doesn't support multiple expiration dates or a combination of calls/puts. If you want to view multiple expirations or a both calls and puts at the same time, simply add the indicator multiple times.
Price Map Profile [BigBeluga]An advanced volume-based tool designed to map out how trading activity is distributed across price levels. It combines dynamic volume profiling with structural pivot detection to highlight key levels of interest in the market — including hidden support/resistance zones and dominant liquidity areas.
Unlike traditional volume profiles locked to fixed sessions, this indicator continuously processes historical bars to build a real-time "map" of volume distribution. It intelligently reveals where buyers and sellers were most active, helping traders pinpoint high-impact zones with clarity.
🔵 KEY FEATURES
Creates a volume map profile by scanning price action over a defined lookback window (`length`).
Divides price vertically into volume bins (default: 100) and aggregates either total volume or bar count per bin.
Bins are plotted as horizontal zones extending to the right of the chart — wider offset means more volume at that price.
Each zone is color-coded using gradients to represent volume magnitude:
- Below average volume = cool tones (blue/teal)
- Above average volume = warm tones (red/orange)
The highest volume bin is highlighted with a red label showing the exact volume, helping to identify strong price agreement.
Detects pivot highs and lows using a 15-bar swing method, marking them as potential S/R levels.
If a pivot level is located inside a low-volume zone (volume < average), it is emphasized with a dashed line and label .
Pivot line color matches direction:
- High pivots = yellow
- Low pivots = aqua
The volume of the bin containing the pivot is shown alongside the pivot, providing volume context for the structural level.
Filters out nearby duplicate pivots using ATR-based distance checks to ensure clean and non-redundant signals.
🔵 HOW TO USE
Use the wide red zones as liquidity and consolidation areas where price may stall, reverse, or absorb volume.
Pivot-based dashed lines within low-volume zones highlight hidden support/resistance levels where price may react sharply.
Combine this indicator with trend or order flow tools to validate reversal or breakout setups .
Switch between Volume and Frequency modes to adapt to the type of data your asset provides.
🔵 CONCLUSION
The Price Map Profile transforms raw volume into an actionable visual map. By aligning volume depth with key market structure levels, it helps traders identify where market participants are most active — and where hidden inefficiencies lie. Ideal for traders seeking precision entries, dynamic S/R zones, and deeper volume structure insight.
OA - Price Magnet Zones Price Magnet Zones Indicator
Overview
The Price Magnet Zones indicator identifies special price levels that have a high statistical probability of being revisited by price in the future.
It works by detecting candles with specific formation characteristics - those without top or bottom wicks - which often signify important market levels that price tends to return to.
Key Features
Automated Detection: Identifies special candle formations automatically and draws horizontal lines at these levels
Dynamic Management Removes lines once price touches them or when they exceed the lookback period
Statistical Analysis: Tracks touch rates and average time until price returns to these levels
Clean Visual Interface: Shows only untouched levels for a clear chart view
How It Works
The indicator detects two specific types of candle formations:
Bullish Levels: Candles with no bottom wick (open = low) that close higher
Bearish Levels: Candles with no top wick (open = high) that close lowe
These formations often represent hidden liquidity zones or order blocks where price tends to return. The indicator draws horizontal lines at these levels and tracks whether price revisits them.
Statistics Tracking
The indicator maintains comprehensive statistics about the detected levels:
Total Levels: Number of bullish, bearish, and total levels detected
Touched Levels: Number of levels that price has returned to touch
Touch Rate: Percentage of levels that have been touched by price
Average Touch Time: Average number of bars until price touches each level type
Trading Applications
These hidden levels can be valuable for:
Identifying potential support and resistance zones
Finding entry and exit points for trades
Setting stop loss levels
Determining price targets
Confirming other technical signals
Settings
Max Bars to Track: Maximum number of bars to keep tracking a level (default: 500)
Line Thickness: Visual thickness of the horizontal lines (1-4)
Line Color: Color of the horizontal lines
Min Candles Before Check: Number of candles to wait before including touches in statistics (default: 3)
Show Statistics: Toggle statistics table display
Usage Tips
The statistics only count touches that occur after the specified minimum number of candles have passed, providing more meaningful data
Higher touch rates indicate stronger magnetic properties of these levels
The average touch time can help with timing expectations for trades
These levels work across various timeframes and markets
For best results, use alongside other technical analysis tools
This indicator does not provide trading signals but offers valuable insights into hidden market structure that can enhance your trading strategy.
Smart Trend Lines 𝒯𝒽𝑒_𝓁𝓊𝓇𝓀𝑒𝓇Smart Trend Lines is a tool for drawing dynamic, highly accurate, and error-free trend lines (major, intermediate, and short-term) with the detection of breaks in these lines using advanced filters such as ADX (Average Directional Index), RSI (Relative Strength Index), and trading volume. It aims to assist traders in accurately identifying trends and breakout points, thereby enhancing decision-making in trading.
1. Features of the Indicator
// Dynamic Trend Line Drawing with Three Lengths:
- Main Line: Based on a long time period (default is 50 candles) to identify long-term trends.
- Mid Line: Based on a medium time period (default is 21 candles) to identify medium-term trends.
- Short Line: Based on a short time period (default is 9 candles) to identify short-term trends.
//Breakout Detection:
- Monitors breakouts when the price crosses a trend line, either upward (for downward lines) or downward (for upward lines).
- Uses filters (ADX, RSI, volume) to confirm the validity of the breakout and reduce false signals.
//Filters for Signal Confirmation:
- ADX: Confirms the strength of the trend (default minimum is 20).
- RSI: Checks for overbought conditions (above 65) or oversold conditions (below 35) to avoid false breakouts.
- Trading Volume: Compares the current trading volume with the moving average of volume to ensure momentum.
//Flexible Settings:
- Customization of line colors (upward and downward) and styles (solid, dashed, dotted).
- Option to show or hide mid and short lines.
- Selection of price type for breakout detection (close, high, low).
//Optional Display of Previous Lines:
- Allows users to optionally view previously drawn trend lines.
//Alerts and Labels:
- Provides instant alerts when a breakout occurs, along with details of the achieved conditions (e.g., V for volume, A for ADX, R for RSI).
- Adds visual labels on the chart at the point of breakout, with customizable label sizes.
//Automatic Line Extensions:
- Dynamically extends trend lines as long as they remain unbroken, ensuring that prices do not breach the line in the opposite direction.
2. Methods of Drawing Lines
// Identification of Pivot Points:
- Pivot High and Pivot Low points are detected using specific time periods for each type of line (Main: 50, Mid: 21, Short: 9).
- High points (Pivot High) are used to draw downward trend lines, while low points (Pivot Low) are used to draw upward trend lines.
Clarification:
- The `ta.pivothigh` function is used to identify high points (Pivot High), and the `ta.pivotlow` function is used to identify low points (Pivot Low) based on the specified periods for each line:
- Main Line:** Uses `trendLineLength` (default 50 candles).
- Mid Line:** Uses `trendLineLengthMid` (default 21 candles).
- Short Line:** Uses `trendLineLengthShort` (default 9 candles).
- High points (Pivot High) are utilized to draw downward trend lines, while low points (Pivot Low) are utilized to draw upward trend lines.
This ensures that the trend lines are dynamically drawn based on significant price pivots, providing a precise representation of the market's directional movements.
//Calculating the Slope:
- The slope between two points (start and end) is calculated using the difference in price divided by the difference in the number of candles:
Slope = ( Price Difference/Number of Candles Difference)
- Downward trend lines require a negative slope, indicating that the price is decreasing over time.
- Upward trend lines require a positive slope, indicating that the price is increasing over time.
This calculation ensures that the trend lines accurately reflect the direction and rate of price movement, providing traders with a clear visual representation of the market's momentum.
Additional Notes:
- The slope of the line reflects not only the direction (upward or downward) but also the intensity of the trend. The steeper the slope, the stronger and faster the price movement.
- The use of this dynamic method for calculating the slope ensures that trend lines adapt to changing market conditions, providing real-time updates for traders.
- The mathematical precision of this method enhances the reliability of trend lines and reduces errors, making it a valuable tool for technical market analysis.
//Drawing the Lines:
- Base Line (Start Line): Connects the two Pivot points (start and end).
- Extended Line (Trend Line): Starts from the endpoint of the base line and extends to the current candle with the same slope.
- The line's color and style are determined based on user settings (e.g., red for downward lines, green for upward lines).
Clarification:
- The function `line.new` is used to draw the base line (`bearishStartLine`) from the starting point (`bearStartIndex, bearStartVal`) to the endpoint (`bearEndIndex, bearEndVal`).
- The extended line (`bearishTrendLine`) starts from the endpoint and extends to the current candle (`bar_index`) using the slope (`bearSlope`) to maintain the trend direction.
// Extending the Lines:
- The lines are dynamically extended to the current candle if no breakout occurs.
- The extension stops when a breakout occurs or if the price crosses the line in the opposite direction.
Clarification:
- The function `extendTrendline` updates the extended line by modifying the endpoint coordinates (`x2, y2`) to the current candle (`bar_index`) using the slope (`slope).
- If a crossover in the opposite direction is detected via `checkExtendedStrictMode`, the extension stops at the previous candle.
3. Conditions for Drawing Lines
Presence of at Least Two Pivot Points:
- Drawing a line requires the presence of two Pivot points:
- Two high points (Pivot High) for a downward line.
- Two low points (Pivot Low) for an upward line.
- These points must fall within a specified time period, not exceeding five times the length of the line.
Slope Validation:
- A downward line requires a negative slope, meaning the endpoint is lower than the starting point.
- An upward line requires a positive slope, meaning the endpoint is higher than the starting point.
Validation of Strict Mode:
- All candles between the two Pivot points are examined to ensure that the price does not breach the trend line:
- For a downward line: The price (close, high, or low, depending on the settings) must not exceed the projected value of the line.
- For an upward line: The price must not fall below the projected value of the line.
This ensures that the trend line remains valid and accurately reflects the price movement without interruptions caused by temporary breaches.
Validation of Post-Pivot Break:
- Candles after the endpoint are examined to ensure that the price has not breached the line in the opposite direction, ensuring the line's validity.
Validation of Strict Extension:
- When extending the line, it is confirmed that the price does not breach the extended line in the opposite direction.
These checks ensure the trend line remains accurate and reliable, both during its initial drawing and as it dynamically extends over time.
4. Conditions for Breakout Detection
Price Crossing the Line:
- For a downward line: The price (close, high, or low, depending on the settings) exceeds the level of the line.
- For an upward line: The price falls below the level of the line.
Candle Confirmation:
- The candle must be closed (confirmed) to register the breakout.
Filter Conditions:
- Trading Volume:
- The trading volume must be higher than the moving average.
- For an upward breakout: A green candle (close > open) with a volume higher than the last green candle is preferred.
- For a downward breakout: A red candle (close < open) with a volume higher than the last red candle is preferred.
- ADX (Average Directional Index):
- The ADX value must exceed the minimum threshold (default is 20) to confirm the strength of the trend.
- RSI (Relative Strength Index) (if enabled):
- For an upward breakout: The RSI should be less than or equal to the upper limit (65) to avoid overbought conditions.
- For a downward breakout: The RSI should be greater than or equal to the lower limit (35) to avoid oversold conditions.
Non-Repetition of Breakouts:
- Each breakout is recorded only once per line until a new line is drawn.
These conditions ensure that breakouts are accurately detected and validated, minimizing false signals and enhancing the reliability of the trading decisions.
5. Additional Notes
Display Settings:
- Users can choose to show or hide previous lines and customize the size of labels (e.g., Very Small, Small, Normal, Large, Huge).
Visual Styles:
- Line styles vary to facilitate differentiation:
- Solid for the main line.
- Dashed for the intermediate line.
- Dotted for the short-term line.
Alerts:
- A single alert is sent for each breakout, with text specifying the type of breakout (main, intermediate, short) and the filters that have been met.
These features enhance user experience by providing flexibility in visualization, ease of interpretation, and timely notifications for informed trading decisions.
Disclaimer
The information and posts are not intended to be, or constitute, any financial, investment, trading or other types of preparation or execution of tasks or endorsed by TradingView.
Smart Trend Lines هو مؤشر تحليل فني يرسم خطوط اتجاه ديناميكية (رئيسية، متوسطة، قصيرة) على الرسم البياني، ويكتشف كسورها باستخدام فلاتر ADX، RSI، وحجم التداول لتأكيد الإشارات.
1. المميزات
1. خطوط اتجاه بثلاثة أطوال:
- رئيسي (50 شمعة): للاتجاهات طويلة الأمد.
- متوسط (21 شمعة): للاتجاهات متوسطة الأمد.
- قصير (9 شموع): للاتجاهات قصيرة الأمد.
2. اكتشاف الكسور: يرصد اختراق السعر للخطوط مع فلاتر لتقليل الإشارات الكاذبة.
3. فلاتر التأكيد:
- ADX (>20): يؤكد قوة الاتجاه.
- RSI (65/35): يتجن“B” للرئيسي، “M” للمتوسط، “S” للقصير).
4. إعدادات مرنة: تخصيص الألوان، الأنماط (متصل، متقطع، منقط)، ونوع السعر (إغلاق، أعلى، أدنى).
5. تمديد الخطوط: يمدد الخطوط تلقائيًا حتى الكسر.
2. طرق رسم الخطوط
1. نقاط Pivot: تحديد النقاط العليا (للخطوط الهابطة) والدنيا (للصاعدة) باستخدام فترات زمنية (50، 21، 9).
2. حساب الميل: قسمة فرق السعر على فرق الشموع (ميل سالب لهابط، موجب لصاعد).
3. رسم الخطوط: خط أساسي يربط نقطتي Pivot، وخط ممتد إلى الشمعة الحالية.
4. التمديد: يستمر التمديد إذا لم يُكسر الخط.
3. شروط الرسم
1. وجود نقطتين Pivot ضمن فترة (≤5 أضعاف طول الخط).
2. ميل مناسب (سالب لهابط، موجب لصاعد).
3. الوضع الصارم: السعر لا يخترق الخط بين النقطتين.
4. فحص ما بعد النقطة: عدم اختراق الخط بعد النهاية.
5. تمديد صارم: السعر لا يخترق الخط الممتد.
4. شروط الكسر
1. اختراق السعر للخط (فوق الهابط، تحت الصاعد).
2. تأكيد الشمعة (مغلقة).
3. فلاتر:
- حجم أعلى من المتوسط، مع شمعة خضراء (للصاعد) أو حمراء (للهابط).
- ADX > 20.
- RSI: ≤65 (صاعد)، ≥35 (هابط).
4. كسر واحد لكل خط.
5. ملاحظات
- العرض: خيارات لإخفاء الخطوط السابقة وتخصيص التسميات.
- التنبيهات: تنبيهات فورية مع تفاصيل الفلاتر.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
TrendCraft ICT SwiftEdge// The TrendCraft ICT SwiftEdge is a trend-following indicator that combines Simple Moving Averages (SMAs) with Inner Circle Trader (ICT) concepts, specifically Break of Structure (BOS) and Market Structure Shift (MSS), to generate precise buy and sell signals. This unique mashup leverages the strengths of trend confirmation through SMAs and market structure analysis via ICT to help traders identify high-probability trend entries. The indicator is designed to be intuitive, customizable, and suitable for traders of all levels seeking to align with market trends on various timeframes.
//
// ### What It Does
// The indicator plots two SMAs based on the high and low prices of candles to define the trend direction. It colors the SMAs and fills the area between them to visually indicate whether the price is in a bullish (above both SMAs), bearish (below both SMAs), or neutral (between SMAs) state. Simultaneously, it identifies BOS and MSS levels on a user-defined higher timeframe to confirm trend continuation or reversal points. Buy and sell signals are generated when the price closes above/below the latest BOS or MSS level (based on user preference) while also being correctly positioned relative to the SMAs, ensuring alignment with the trend.
//
// ### Why Combine SMAs and ICT?
// SMAs provide a reliable way to gauge trend direction by smoothing price data, but they can lag or generate false signals in choppy markets. ICT's BOS and MSS concepts address this by focusing on key market structure breaks, offering context for significant price movements. By requiring price to close beyond a BOS or MSS level and align with the SMA-defined trend, the TrendCraft ICT SwiftEdge filters out noise and enhances signal reliability. This combination creates a robust system that balances trend-following simplicity with structural market insights, making it ideal for trend traders.
//
// ### How to Use
// 1. **SMA Length**: Adjust the `SMA Length` (default: 20) to control the sensitivity of the SMAs. Shorter lengths react faster to price changes, while longer lengths provide smoother trends.
// 2. **Structure Timeframe**: Set the `Structure Timeframe` to a higher timeframe (e.g., "1H" on a 15M chart) to calculate BOS and MSS levels. This ensures structural signals are based on significant market moves.
// 3. **Chart Timeframe**: Select the `Chart Timeframe` to optimize pivot point calculations for your current chart (e.g., "30M" for a 30-minute chart).
// 4. **Signal Type**: Choose between "BOS" (default) for signals based on trend continuation breaks or "MSS" for signals based on potential reversal points (breakers).
// 5. **Display Options**: Enable/disable `Show Continuation (BOS)` and `Show Breaker (MSS)` to toggle the visibility of BOS and MSS lines. Customize their colors for better chart clarity.
//
// ### Signals
// - **Buy Signal**: Appears when the close price crosses above the latest BOS or MSS level (based on Signal Type) and is above both SMAs, indicating a bullish trend entry. Marked with a green "Buy" label.
// - **Sell Signal**: Appears when the close price crosses below the latest BOS or MSS level (based on Signal Type) and is below both SMAs, indicating a bearish trend entry. Marked with a red "Sell" label.
//
// ### Originality
// The TrendCraft ICT SwiftEdge stands out by integrating the trend-following reliability of SMAs with the structural precision of ICT's BOS and MSS. Unlike standalone SMA or ICT indicators, this script requires both trend alignment and structural confirmation, reducing false signals. The user-selectable Signal Type (BOS or MSS) adds versatility, allowing traders to adapt the indicator to trend-following or counter-trend strategies. Its dynamic timeframe adjustments and visual clarity make it a unique tool for traders seeking to capture trend entries with confidence.
//
// ### Notes
// - Ensure the `Structure Timeframe` is higher than your chart timeframe to avoid calculation issues.
// - Signals are generated only when the trend state changes to avoid redundant signals in the same trend direction.
// - Past performance is not indicative of future results. Always combine this indicator with other analysis and risk management techniques.
Wyckoff Accumulation Distribution Wyckoff Accumulation & Distribution Indicator (RSI-Based)
This Pine Script is a technical analysis indicator built around the Wyckoff Method, designed to detect accumulation and distribution phases using RSI (Relative Strength Index) and pivot points. It automatically marks key structural turning points on the chart and highlights relevant zones with colored boxes.
What Does It Do?
Draws accumulation and distribution boxes based on RSI behavior.
Automatically detects Wyckoff structural signals:
SC (Selling Climax)
AR (Automatic Rally)
ST (Secondary Test)
BC (Buying Climax)
DAR (Automatic Reaction)
DST (Secondary Test - Distribution)
Identifies trend transitions by detecting sideways RSI movement.
Attempts to detect spring and UTAD-like deviations based on RSI reversals.
Uses RSI extremes in conjunction with pivot points to generate Wyckoff signals.
How Does It Work?
RSI Zone: It identifies sideways markets when RSI stays within ±20 of the 50 level (this range is configurable).
Pivot Points: It detects pivot highs/lows that sync with RSI values (pivotLen is adjustable).
Trend Box Drawing:
When RSI exits the sideways zone, the script draws a gray box between the highest high and lowest low within that range.
If RSI breaks upward, the box becomes green (Accumulation); if downward, it becomes red (Distribution).
Wyckoff Structural Points:
SC/BC: Detected when a pivot occurs with RSI below/above a threshold.
AR/DAR: The next opposite pivot after SC or BC.
ST/DST: The next same-direction pivot after AR or DAR.
How to Use It
Works best on 4H or daily charts for more reliable signals. Shorter timeframes may generate noise.
Primarily used for interpreting RSI structures through the lens of Wyckoff methodology.
Box colors help quickly identify market phase:
Green box: Likely Accumulation
Red box: Likely Distribution
Triangular markers show key signals:
SC, AR, ST: Accumulation points
BC, DAR, DST: Distribution points
Use these signals alongside price action to manually interpret Wyckoff phases.
image.binance.vision
image.binance.vision
What Is the Wyckoff Method?
The Wyckoff Method, developed in the 1930s by Richard Wyckoff, is a market analysis approach that focuses on supply and demand dynamics behind price movements.
Wyckoff’s 5 Phases:
Accumulation: Smart money gradually buying at low prices.
Markup: Price begins trending upwards.
Distribution: Smart money selling to retail traders.
Markdown: Downtrend begins as supply outweighs demand.
Re-accumulation / Re-distribution: Trend-continuation phases with consolidations.
This indicator is specifically designed to detect phase 1 (Accumulation) and phase 3 (Distribution).
Extra Notes
Repainting is minimal, as pivots are confirmed using historical candles.
Labels use plotshape for a clean, minimalist visual style.
Other Wyckoff events (like SOS, LPS, UT, UTAD) could be added in future updates.
This script does not generate buy/sell signals; it is meant for structural interpretation.
MA Crossover Crossunder Strategy [UOI]Simple MA Crossover Crossunder Strategy Tester
📌 Purpose:
This strategy is designed to backtest and automate entries and exits based on the crossover and crossunder of two configurable moving averages. It provides traders with flexibility in selecting the moving average type and length to adapt the system to various market conditions and asset classes. To see the win ratio of each strategy (different length and different MA type) click on Strategy tester below the chart (at the bottom of the page).
🟦 Does it work?
Short answer: No — not on its own.
Unless you have a solid understanding of volume and price action, and you implement effective stop-loss and take-profit rules, the win ratio is typically poor for automated trading. However, incorporating other market dynamics can help improve the strategy's performance.
⚙️ Core Features:
🟦 User-Defined Inputs:
shortLength: Length for the short-term moving average (default: 10)
longLength: Length for the long-term moving average (default: 50)
maType: Type of moving average to apply (options include: "SMA", "EMA", "WMA", "VWMA", "RMA", "HMA")
🧮 Moving Average Function (ma):
The strategy includes a custom ma() function that dynamically computes the moving average of the selected type:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
RMA (Running Moving Average / SMMA)
HMA (Hull Moving Average): Calculated using the WMA of a de-trended intermediate series with a square root length for faster response and reduced lag.
This design allows users to test multiple MA methodologies without rewriting code.
🟧 Entry & Exit Logic:
✅ Long Entry:
Triggered when the short-term MA crosses above the long-term MA (ta.crossover()).
Any existing short positions are closed immediately.
❌ Short Entry:
Triggered when the short-term MA crosses below the long-term MA (ta.crossunder()).
Any existing long positions are closed immediately.
This structure ensures that only one active position (long or short) is held at any given time, making the strategy fully reversible and directional.
📊 Visual Representation:
Both MAs are plotted on the chart for visual confirmation.
Short MA: Blue
Long MA: Orange
The chart overlays allow for easy manual verification of signal points and trend alignment.
📈 Execution Parameters:
The strategy uses strategy.percent_of_equity for position sizing, set to 100% of account equity per trade.
Works on any timeframe — users can switch chart resolution for different backtesting horizons (scalping to swing trading).
For instance Try VWMA 10 over 50 with SPX on 30 and 45 minutes time frame and you will see great results. But if you try that with SPY you will get different win ratio.
❌ Do you recommend using a moving average crossover strategy?
❌ No — I use it only as confirmation alongside other indicators.
❌ Only traders with contextual knowledge of price action and volume analysis should use MA strategies.
[blackcat] L2 FiboKAMA Adaptive TrendOVERVIEW
The L2 FiboKAMA Adaptive Trend indicator leverages advanced technical analysis techniques by integrating Fibonacci principles with the Kaufman Adaptive Moving Average (KAMA). This combination creates a dynamic and responsive tool designed to adapt seamlessly to changing market conditions. By providing clear buy and sell signals based on adaptive momentum, this indicator helps traders identify potential entry and exit points effectively. Its intuitive design and robust features make it a valuable addition to any trader’s arsenal 📊💹.
According to the principle of Kaufman's Adaptive Moving Average (KAMA), it is a type of moving average line specifically designed for markets with high volatility. Unlike traditional moving averages, KAMA can automatically adjust its period based on market conditions to improve accuracy and responsiveness. This makes it particularly useful for capturing market trends and reducing false signals in varying market environments.
The use of Fibonacci magic numbers (3, 8, 13) enhances the performance and accuracy of KAMA. These numbers have special mathematical properties that align well with the changing trends of KAMA moving averages. Combining them with KAMA can significantly boost its effectiveness, making it a popular choice among traders seeking reliable signals.
This fusion not only smoothens price fluctuations but also ensures quick responses to market changes, offering dependable entry and exit points. Thanks to the flexibility and precision of KAMA combined with Fibonacci magic numbers, traders can better manage risks and aim for higher returns.
FEATURES
Enhanced Kaufman Adaptive Moving Average (KAMA): Incorporates Fibonacci principles for improved adaptability:
Source Price: Allows customization of the price series used for calculation (default: HLCC4).
Fast Length: Determines the period for quicker adjustments to recent price changes.
Slow Length: Sets the period for smoother transitions over longer-term trends.
Dynamic Lines:
KAMA Line: A yellow line representing the primary adaptive moving average, which adapts quickly to new trends.
Trigger Line: A fuchsia line serving as a reference point for detecting crossovers and generating signals.
Visual Cues:
Buy Signals: Green 'B' labels indicating potential buying opportunities.
Sell Signals: Red 'S' labels signaling possible selling points.
Fill Areas: Colored regions between the KAMA and Trigger lines to visually represent trend directions and strength.
Alert Functionality: Generates real-time alerts for both buy and sell signals, ensuring timely notifications for actionable insights 🔔.
Customizable Parameters: Offers flexibility through adjustable inputs, allowing users to tailor the indicator to their specific trading strategies and preferences.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and navigate to the indicators list.
Select L2 FiboKAMA Adaptive Trend and add it to your chart.
Configuring Parameters:
Adjust the Source Price to choose the desired price series (e.g., close, open, high, low).
Set the Fast Length to define how quickly the indicator responds to recent price movements.
Configure the Slow Length to determine the smoothness of long-term trend adaptations.
Interpreting Signals:
Monitor the chart for green 'B' labels indicating buy signals and red 'S' labels for sell signals.
Observe the colored fill areas between the KAMA and Trigger lines to gauge trend strength and direction.
Setting Up Alerts:
Enable alerts within the indicator settings to receive notifications whenever buy or sell signals are triggered.
Customize alert messages and frequencies according to your trading plan.
Combining with Other Tools:
Integrate this indicator with additional technical analysis tools and fundamental research for comprehensive decision-making.
Confirm signals using other indicators like RSI, MACD, or Bollinger Bands for increased reliability.
Optimizing Performance:
Backtest the indicator across various assets and timeframes to understand its behavior under different market conditions.
Fine-tune parameters based on historical performance and current market dynamics.
Integrating Magic Numbers:
Understand the basic principles of KAMA to find suitable entry points for Fibonacci magic numbers.
Utilize the efficiency ratio to measure market volatility and adjust moving average parameters accordingly.
Apply Fibonacci magic numbers (3, 8, 13) to enhance the responsiveness and accuracy of KAMA.
LIMITATIONS
Market Volatility: May produce false signals during periods of extreme volatility or sideways movement.
Parameter Sensitivity: Requires careful tuning of fast and slow lengths to balance responsiveness and stability.
Asset-Specific Behavior: Effectiveness can vary significantly across different financial instruments and time horizons.
Complementary Analysis: Should be used alongside other analytical methods to enhance accuracy and reduce risk.
NOTES
Historical Data: Ensure adequate historical data availability for precise calculations and backtesting.
Demo Testing: Thoroughly test the indicator on demo accounts before deploying it in live trading environments.
Continuous Learning: Stay updated with market trends and continuously refine your strategy incorporating feedback from the indicator's performance.
Risk Management: Always implement proper risk management practices regardless of the signals provided by the indicator.
ADVANCED USAGE TIPS
Multi-Timeframe Analysis: Apply the indicator across multiple timeframes to gain deeper insights into underlying trends.
Divergence Strategy: Look for divergences between price action and the KAMA line to spot potential reversals early.
Volume Integration: Combine volume analysis with the indicator to confirm the strength of identified trends.
Custom Scripting: Modify the script to include additional filters or conditions tailored to your unique trading approach.
IMPROVING KAMA PERFORMANCE
Increase Length: Extend the KAMA length to consider more historical data, reducing the impact of short-term price fluctuations.
Adjust Fast and Slow Lengths: Make KAMA smoother by increasing the fast length and decreasing the slow length.
Use Smoothing Factor: Apply a smoothing factor to control the level of smoothness; typical values range from 0 to 1.
Combine with Other Indicators: Pair KAMA with other smoothing indicators like EMA or SMA for more reliable signals.
Filter Noise: Use filters or other technical analysis tools to eliminate price noise, enhancing KAMA's effectiveness.
CyberCandle SwiftEdgeCyberCandle SwiftEdge
Overview
CyberCandle SwiftEdge is a cutting-edge, AI-inspired trading indicator designed for traders seeking precision and clarity in trend-following and swing trading. Powered by SwiftEdge, it combines Heikin Ashi candles, a gradient-colored Exponential Moving Average (EMA), and a Relative Strength Index (RSI) to deliver clear buy and sell signals. Featuring glowing visuals, dynamic signal icons, and a customizable RSI dashboard in the top-right corner, this script offers a futuristic interface for identifying high-probability trade setups on various timeframes (e.g., 1H, 4H).
What It Does
CyberCandle SwiftEdge integrates three powerful components to generate actionable trading signals:
Heikin Ashi Candles: Smooths price action to highlight trends, reducing market noise and making reversals easier to spot.
Gradient EMA: A 100-period EMA with dynamic color transitions (blue/cyan for uptrends, red/pink for downtrends) to confirm market direction.
RSI Dashboard: A neon-lit display showing RSI levels, indicating overbought (>70), oversold (<30), or neutral (30-70) conditions.
Buy and sell signals are marked with prominent, glowing icons (triangles and arrows) based on trend direction, momentum, and specific Heikin Ashi patterns. The script’s customizable parameters allow traders to tailor the strategy to their preferences, balancing signal frequency and precision.
How It Works
The strategy leverages the synergy of Heikin Ashi, EMA, and RSI to filter trades and highlight opportunities:
Trend Direction: The price must be above the EMA for buy signals (bullish trend) or below for sell signals (bearish trend). The EMA’s gradient color shifts based on its slope, visually reinforcing trend strength.
Momentum Confirmation: RSI must exceed a user-defined threshold (default: 50) for buy signals or fall below it for sell signals, ensuring momentum supports the trade.
Candle Patterns: Buy signals require a green Heikin Ashi candle (close > open), with the two prior candles having minimal upper wicks (≤5% of candle body) and being red (indicating a retracement). Sell signals require a red candle, minimal lower wicks, and two prior green candles.
RSI Dashboard: Positioned in the top-right corner, it features a glowing circle (red for overbought, green for oversold, blue for neutral), the current RSI value, and a status indicator (triangle for extremes, square for neutral). This provides instant momentum insights without cluttering the chart.
By combining Heikin Ashi’s trend clarity, EMA’s directional filter, and RSI’s momentum validation, CyberCandle SwiftEdge minimizes false signals and highlights trades with strong potential. Its vibrant, AI-like visuals make it easy to interpret at a glance.
How to Use It
Add to Chart: In TradingView, search for "CyberCandle SwiftEdge" and add it to your chart. Set the chart to Heikin Ashi candles for optimal compatibility.
Interpret Signals:
Buy Signal: Large green triangles and arrows appear below candles when the price is above the EMA, RSI is above the buy threshold (default: 50), and conditions for a bullish retracement are met. Consider entering a long position with a 1:2 risk/reward ratio.
Sell Signal: Large red triangles and arrows appear above candles when the price is below the EMA, RSI is below the sell threshold (default: 50), and conditions for a bearish retracement are met. Consider entering a short position.
RSI Dashboard: Monitor the top-right dashboard. A red circle (RSI > 70) suggests caution for buys, a green circle (RSI < 30) indicates potential buying opportunities, and a blue circle (RSI 30-70) signals neutrality.
Customize Parameters: Open the indicator’s settings to adjust:
EMA Length (default: 100): Increase (e.g., 200) for longer-term trends or decrease (e.g., 50) for shorter-term sensitivity.
RSI Length (default: 14): Adjust for more (e.g., 7) or less (e.g., 21) responsive momentum signals.
RSI Buy/Sell Thresholds (default: 50): Set higher (e.g., 55) for buys or lower (e.g., 45) for sells to require stronger momentum.
Wick Tolerance (default: 0.05): Increase (e.g., 0.1) to allow larger wicks, generating more signals, or decrease (e.g., 0.02) for stricter conditions.
Require Retracement (default: true): Disable to remove the two-candle retracement requirement, increasing signal frequency.
Trading: Use signals in conjunction with the RSI dashboard and market context. For example, avoid buy signals if the RSI dashboard is red (overbought). Always apply proper risk management, such as setting stop-losses based on recent lows/highs.
What Makes It Original
CyberCandle SwiftEdge stands out due to its futuristic, AI-inspired visual design and user-friendly customization:
Neon Aesthetics: Glowing Heikin Ashi candles, gradient EMA, and dynamic signal icons (triangles and arrows) with RSI-driven transparency create a high-tech, immersive experience.
RSI Dashboard: A compact, top-right display with a neon circle, RSI value, and adaptive status indicator (triangle/square) provides instant momentum insights without cluttering the chart.
Customizability: Users can fine-tune EMA length, RSI parameters, wick tolerance, and retracement requirements via TradingView’s settings, balancing signal frequency and precision.
Integrated Approach: The synergy of Heikin Ashi’s trend clarity, EMA’s directional strength, and RSI’s momentum validation offers a cohesive strategy that reduces false signals.
Why This Combination?
The script combines Heikin Ashi, EMA, and RSI for a complementary effect:
Heikin Ashi smooths price fluctuations, making it ideal for identifying sustained trends and retracements, which are critical for the strategy’s signal logic.
EMA provides a reliable trend filter, ensuring signals align with the broader market direction. Its gradient color enhances visual trend recognition.
RSI adds momentum context, confirming that signals occur during favorable conditions (e.g., RSI > 50 for buys). The dashboard makes RSI intuitive, even for non-technical users.
Together, these components create a balanced system that captures trend reversals after retracements, validated by momentum, with a visually engaging interface that simplifies decision-making.
Tips
Best used on volatile assets (e.g., BTC/USD, EUR/USD) and higher timeframes (1H, 4H) for clearer trends.
Experiment with parameters in the settings to match your trading style (e.g., increase wick tolerance for more signals).
Combine with other analysis (e.g., support/resistance) for higher-confidence trades.
Note
This indicator is for informational purposes and does not guarantee profits. Always backtest and use proper risk management before trading.
Fractal CorridorsFractal Corridors - visual tool that maps market structure through a multi-scale lens, revealing the underlying architecture of price action across time. By processing pivot points at multiple depths, it constructs a layered geometric corridors that reflects the self-similar, scalable nature of financial markets. Each pivot scale connects successive highs and lows with lines, and when both sides are present, fills the space between them, forming polygonal bands that shift in shape and density as volatility and trend evolve.
Inputs
Base Depth: Number of bars for the smallest pivot
Factor: Multiplier between small, medium and large depths
Selectable color of components
The real value of this indicator lies not in generating executive signals, but in offering a structural perspective that blends short-term fluctuations with longer-term market cycles. The output allows to visually assess trends in terms of shapes, detect compression zones, and identify multi-timeframe confluence areas where price is likely to react. Whether used for macro trend confirmation or pattern evaluation, this indicator transforms raw price data into a clear, fractal-informed map of market behavior, helping the user navigate the complexity of emerging price through the language of geometry.
High ATRHigh-ATR is an indicator that visualizes volatility using the Average True Range (ATR). It highlights periods of elevated volatility by comparing the ATR to its moving average.
When the ATR exceeds its moving average, it is considered "Overthreshold" and is displayed in red. This helps identify candles with significant volatility.
Note: ATR does not indicate market direction, only the magnitude (width) of the trading range.
Default Settings:
Long length: 50 (used for the ATR moving average)
Short length: 1 (used for the current ATR)
Multiplier: 2
These values can be adjusted depending on your trading style, but this is the default configuration.
4H High-Low BoxesThis indicator dynamically plots high-low boxes based on the most recent 4-hour candle, providing visual markers for key price levels and trends. The box is updated in real-time to reflect the highest and lowest points of the current 4-hour candle, and its color changes based on the market's direction.
Key Features:
Dynamic Boxes: The indicator automatically adjusts to the 4-hour candle's high, low, and open price, creating a box that updates with price action.
Color-Coding: The box color changes based on the price direction. A green box indicates bullish market sentiment (price is above the 4H open), while a red box indicates bearish sentiment (price is below the 4H open).
Accurate Timeframe Representation: It works across any intraday timeframe (e.g., 5-minute, 15-minute, 1-hour), providing consistent, visually relevant markers for trading decisions.
Real-Time Updates: The box is adjusted dynamically as price evolves, ensuring it accurately represents the 4-hour price range during live trading.
Customizable Settings: Tailor the visual aspects of the box, including border color, background transparency, and other parameters.
Trading Strategy Ideas:
Rejection at High/Low: Look for price rejection at the 4H high/low for potential reversal signals.
Breakout Strategy: Trade breakouts above the 4H high or below the 4H low for momentum trades.
Mean Reversion: Enter when price moves away from the 4H open, expecting it to return to the open price.
This indicator can be used as a standalone tool or combined with other technical indicators to improve entry and exit points. Perfect for swing traders and those using price action to identify key support and resistance levels.
HAPPY TRADING
The LBF modelThe LBF Model is a structural pattern detector that highlights potential reversal zones using a specific sequence of pivot points. It identifies both bearish (LL → LH → LL → HH → LH) and bullish (HH → HL → HH → LL → HL) formations, marking moments where price shows signs of exhaustion and directional shift.
Built purely on price action, the LBF Model avoids indicators and focuses on clean structure. It draws patterns directly on the chart, with customizable sensitivity and colors. Whether used on its own or with other tools, it helps traders spot key turning points with clarity and precision.
Camarilla Pivots & BBT StrategiesThis indicator implements the Camarilla Pivot Points system used in the Bear Bull Traders community and described in the book "A Complete Day Trading System" by Thor Young. It works for stocks, ETFs and futures (see note below for futures). It's for intraday trading; it doesn't work on sub-minute timeframes nor on daily and above timeframes; you'll get an error, so you can't use this indicator for inter-day, e.g. monthly pivots (just use the built-in TradingView pivot point indicator if you want those).
It calculates and shows the support and resistance Camarilla levels at the 3rd, 4th and 6th levels. It does not use the 1st, 2nd or 5th levels since these are not used by the system. These display correctly irrespective of whether the chart setting is RTH or ETH. It also displays the 12 strategies defined by the system, when the strategy conditions are fulfilled. There are 6 strategies for when the pivots are in an upper range, and their converse 6 when in a lower range. The strategies can be found at bearbulltraders.com/pivotbook, download "Pivot Sheet". It optionally also displays weekly and monthly pivots.
The strategies are labelled HA-HF and LA-LF. The first letter refers to whether it's a Higher or Lower range strategy. The second letter refers to the letter of the strategy in the Pivot Sheet. By default the indicator draws strategies 5 days back; this can be changed up to 20 days.
Finally it displays information at the top-right of chart indicating whether RTH or ETH data is in use, the range of the pivots (upper, lower, neutral), their width (wide, narrow, similar) and the currently active strategy. If multiple strategies are active in parallel, only the last activated one is shown in this information.
When displaying strategies in the premarket, since the RTH open is not yet known (and that value is needed to evaluate strategy pre-conditions), the pre-market open on the currently used chart timeframe is used as proxy value for the RTH open. After the regular market opens, the correct RTH open is used to evaluate strategy conditions.
The resistance pivots are all drawn in the same colour (red by default), as are the support pivots (green by default). You can change the resistance and support colours, but it is not possible to have different colours for different levels of the same kind. The strategies will always use the correct colour however, drawing over the pivots. For example, R4 is red by default, but if a strategy makes R4 a support, then the strategy will draw a green line (by default) over the red R4 line, thereby hiding it, during when the strategy is active.
The pivots are very close to those shown in the main trading platform used in the Bear Bull Traders community, not to-the-cents exact, but within a few cents. The reasons are i) TradingView uses real-time data from CBOE One, so doesn't have access to full exchange data (unless you pay for it in TradingView) and, ii) the close/high/low are taken from intra-day data, not daily data, which are very close but often not exactly the same. For example, the high on the daily timeframe may differ slightly from the daily high you'll see on an intraday timeframe. I have occasionally seen big differences in the pivots between these and DAS Trader Pro - this is always due to difference in data, for example a big spike in the data in TradingView but not in DAS, or vice versa. If it bothers you, official NYSE/NASDAQ data in TradingView is not too expensive.
The indicator is highly configurable with many options to change how they work, but it has sensible defaults. By default, the pivots will automatically switch between using ETH and RTH data, and only one set of pivots is ever shown. There are few advanced parameters; leave these as default unless you really know what they do. Please note the script is complicated, it does a lot. You might need to wait a few seconds while it (re)calculates on new tickers or when changing options - give it time when first loading or changing options!
Note for Futures:
Futures don't officially have a pre-market or post-market like equities. Let's take ES on CME as an example (CME is in Chicago, so all times are Central Time, i.e. 1 hours behind Eastern Time). It trades from 17:00 Sunday to 16:00 Friday, with a daily pause between 16:00 and 17:00. However, most of the trading activity is done between 08:30 and 15:00 (Central), which you can tell from the volume spikes at those times and this coincides with NYSE/NASDAQ regular hours (09:30-16:00 Eastern). So we define a pseudo-pre-market from 17:00 the previous day to 08:30 on the current day, then a pseudo-regular market from 08:30 to 15:00, then a pseudo-post-market from 15:00 to 16:00. The indicators then work exactly the same as with equities, all the options behave the same, just with different session times defined for the pre-, regular and post-market, with "RTH" meaning just the regular market, and "ETH" meaning all three. The only difference from equities is that the auto calculation mode always uses ETH instead of switching based on ETH range compared to RTH range. This is so users who just leave all the defaults are not confused by auto switching of the calculation mode; normally you'll want the pivots based on all the (ETH) data. However both "Force RTH" and "Use RTH close with ETH data" work the same as with equities, so if in the calculations you really want to only use RTH data, or use all ETH H/L data but use the RTH close (at 15:00), you can.
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⚡ High-Frequency Pro Strategy | Enhanced Filtersfind the supply ondemand for Gold and the best areat to import
Signals2TradeSignals2Trade is a powerful indicator that combines a daily one-trade strategy with smart money liquidity zones. It automatically detects the first breakout of the day, sets entry, stop-loss, and take-profit based on your desired risk-reward ratio, and visually marks entry and exit points. Additionally, it identifies key supply and demand areas using pivot levels and highlights them as dynamic smart money blocks on the chart. Ideal for day traders, SMC traders, and anyone looking for structured setups without spending hours on analysis.
GM trendIndicator is designed to track and visualize medium-term trends using the EMA 35 line, along with the EMA 25 and EMA 45. This script creates a clear visual representation of price dynamics by shading the area between the EMA 25 and EMA 45, while highlighting EMA 35 as the central trend-following reference. The shading helps identify areas of support, resistance, and trend strength.
MAD Trend Detector ~ C H I P AMAD Trend Detector ~ C H I P A is a custom trend detection tool designed to identify meaningful price deviations using Median Absolute Deviation (MAD) logic layered over a smoothed price baseline.
It uses:
A user-selectable source (Close, High, Low, etc.)
A configurable EMA or SMA as the core smoothing layer
Median Absolute Deviation (MAD) to measure typical price dispersion
A user-adjustable MAD multiplier to fine-tune trend sensitivity
Trend bands that expand dynamically based on local volatility
This setup highlights breakout conditions when price detaches meaningfully from its typical behavior — helping traders detect trend acceleration, volatility breakouts, and directional shifts with minimal lag and reduced noise.
Candle coloring responds directly to trend status, with electric blue and red visuals for clear on-chart recognition.
SynchroTrend Oscillator (STO) [PhenLabs]📊 SynchroTrend Oscillator
Version: PineScript™ v5
📌 Description
The SynchroTrend Oscillator (STO) is a multi-timeframe synchronization tool that combines trend information from three distinct timeframes into a single, easy-to-interpret oscillator ranging from -100 to +100.
This indicator solves the common problem of having to analyze multiple timeframe charts separately by consolidating trend direction and strength across different time horizons. The STO helps traders identify when markets are truly synchronized across timeframes, potentially indicating stronger trend conditions and higher probability trading opportunities.
Using either Moving Average crossovers or RSI analysis as the trend definition metric, the STO provides a comprehensive view of market structure that adapts to various trading strategies and market conditions.
🚀 Points of Innovation
Triple-timeframe synchronization in a single view eliminates chart switching
Dual trend detection methods (MA vs Price or RSI) for flexibility across different markets
Dynamic color intensity that automatically increases with signal strength
Scaled oscillator format (-100 to +100) for intuitive trend strength interpretation
Customizable signal thresholds to match your risk tolerance and trading style
Visual alerts when markets reach full synchronization states
🔧 Core Components
Trend Scoring System: Calculates a binary score (+1, -1, or 0) for each timeframe based on selected metrics, providing clear trend direction
Multi-Timeframe Synchronization: Combines and scales trend scores from all three timeframes into a single oscillator
Dynamic Visualization: Adjusts color transparency based on signal strength, creating an intuitive visual guide
Threshold System: Provides customizable levels for identifying potentially significant trading opportunities
🔥 Key Features
Triple Timeframe Analysis: Synchronizes three user-defined timeframes (default: 60min, 15min, 5min) into one view
Dual Trend Detection Methods: Choose between Moving Average vs Price or RSI-based trend determination
Adjustable Signal Smoothing: Apply EMA, SMA, or no smoothing to the oscillator output for your preferred signal responsiveness
Dynamic Color Intensity: Colors become more vibrant as signal strength increases, helping identify strongest setups
Customizable Thresholds: Set your own buy/sell threshold levels to match your trading strategy
Comprehensive Alerts: Six different alert conditions for crossing thresholds, zero line, and full synchronization states
🎨 Visualization
Oscillator Line: The main line showing the synchronized trend value from -100 to +100
Dynamic Fill: Area between oscillator and zero line changes transparency based on signal strength
Threshold Lines: Optional dotted lines indicating buy/sell thresholds for visual reference
Color Coding: Green for bullish synchronization, red for bearish synchronization
📖 Usage Guidelines
Timeframe Settings
Timeframe 1: Default: 60 (1 hour) - Primary higher timeframe for trend definition
Timeframe 2: Default: 15 (15 minutes) - Intermediate timeframe for trend definition
Timeframe 3: Default: 5 (5 minutes) - Lower timeframe for trend definition
Trend Calculation Settings
Trend Definition Metric: Default: “MA vs Price” - Method used to determine trend on each timeframe
MA Type: Default: EMA - Moving Average type when using MA vs Price method
MA Length: Default: 21 - Moving Average period when using MA vs Price method
RSI Length: Default: 14 - RSI period when using RSI method
RSI Source: Default: close - Price data source for RSI calculation
Oscillator Settings
Smoothing Type: Default: SMA - Applies smoothing to the final oscillator
Smoothing Length: Default: 5 - Period for the smoothing function
Visual & Threshold Settings
Up/Down Colors: Customize colors for bullish and bearish signals
Transparency Range: Control how transparency changes with signal strength
Line Width: Adjust oscillator line thickness
Buy/Sell Thresholds: Set levels for potential entry/exit signals
✅ Best Use Cases
Trend confirmation across multiple timeframes
Finding high-probability entry points when all timeframes align
Early detection of potential trend reversals
Filtering trade signals from other indicators
Market structure analysis
Identifying potential divergences between timeframes
⚠️ Limitations
Like all indicators, can produce false signals during choppy or ranging markets
Works best in trending market conditions
Should not be used in isolation for trading decisions
Past performance is not indicative of future results
May require different settings for different markets or instruments
💡 What Makes This Unique
Combines three timeframes in a single visualization without requiring multiple chart windows
Dynamic transparency feature that automatically emphasizes stronger signals
Flexible trend definition methods suitable for different market conditions
Visual system that makes multi-timeframe analysis intuitive and accessible
🔬 How It Works
1. Trend Evaluation:
For each timeframe, the indicator calculates a trend score (+1, -1, or 0) using either:
MA vs Price: Comparing close price to a moving average
RSI: Determining if RSI is above or below 50
2. Score Aggregation:
The three trend scores are combined and then scaled to a range of -100 to +100
A value of +100 indicates all timeframes show bullish conditions
A value of -100 indicates all timeframes show bearish conditions
Values in between indicate varying degrees of alignment
3. Signal Processing:
The raw oscillator value can be smoothed using EMA, SMA, or left unsmoothed
The final value determines line color, fill color, and transparency settings
Threshold levels are applied to identify potential trading opportunities
💡 Note:
The SynchroTrend Oscillator is most effective when used as part of a comprehensive trading strategy that includes proper risk management techniques. For best results, consider using the oscillator in conjunction with support/resistance levels, price action analysis, and other complementary indicators that align with your trading style.
NIKHIL ROY INDICATOR + Reversal Trap Entry/@version=5
indicator("NIKHIL ROY INDICATOR + Reversal Trap Entry", overlay=true)
// === SETTINGS ===
res_tf = "15"
lookback = 50
// === PREVIOUS 15min CANDLE ===
prevHigh = request.security(syminfo.tickerid, res_tf, high )
prevLow = request.security(syminfo.tickerid, res_tf, low )
prevOpen = request.security(syminfo.tickerid, res_tf, open )
prevClose = request.security(syminfo.tickerid, res_tf, close )
// Draw previous 15m candle (body and wick)
plot(prevHigh, "Prev High", color=color.gray, linewidth=1)
plot(prevLow, "Prev Low", color=color.gray, linewidth=1)
bgcolor((timeframe.isintraday and timeframe.period == "15") ? na : color.new(color.gray, 90))
// === SUPPORT & RESISTANCE ===
var float support = na
var float resistance = na
pivotLow = ta.pivotlow(low, 5, 5)
pivotHigh = ta.pivothigh(high, 5, 5)
if not na(pivotLow)
support := pivotLow
if not na(pivotHigh)
resistance := pivotHigh
plot(support, "Support", color=color.green, linewidth=2, style=plot.style_linebr)
plot(resistance, "Resistance", color=color.red, linewidth=2, style=plot.style_linebr)
// === SWING BREAK DETECTION ===
swingHighBreak = high > resistance and high <= resistance
swingLowBreak = low < support and low >= support
// === BREAKOUT FAILURE ===
breakoutFailure = swingHighBreak and close < resistance
breakdownFailure = swingLowBreak and close > support
// === RETEST AFTER WEAKNESS ===
retestSell = close < resistance and high > resistance and close < open
retestBuy = close > support and low < support and close > open
// === SIGNALS ===
// SELL on resistance retest + weakness
sellSignal = retestSell
// SELL if breakout fails
trapSell = breakoutFailure
// BUY on support retest + strength
buySignal = retestBuy
// BUY if breakdown fails
trapBuy = breakdownFailure
// === PLOT SIGNALS ===
plotshape(sellSignal, title="Sell Weakness", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.large, text="SELL")
plotshape(trapSell, title="Trap Sell", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.large, text="TRAP SELL")
plotshape(buySignal, title="Buy Strength", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.large, text="BUY")
plotshape(trapBuy, title="Trap Buy", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.large, text="TRAP BUY")
Auto Darvas Boxes## AUTO DARVAS BOXES
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### OVERVIEW
**Auto Darvas Boxes** is a fully-automated, event-driven implementation of Nicolas Darvas’s 1950s box methodology.
The script tracks consolidation zones in real time, verifies that price truly “respects” those zones for a fixed validation window, then waits for the first decisive range violation to mark a directional breakout.
Every box is plotted end-to-end—from the first candle of the sideways range to the exact candle that ruptures it—giving you an on-chart, visually precise record of accumulation or distribution and the expansion that follows.
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### HISTORICAL BACKGROUND
* Nicolas Darvas was a professional ballroom dancer who traded U.S. equities by telegram while touring the world.
* Without live news or Level II, he relied exclusively on **price** to infer institutional intent.
* His core insight: true market-moving entities leave footprints in the form of tight ranges; once their buying (or selling) is complete, price erupts out of the “box.”
* Darvas’s original procedure was manual—he kept notebooks, drew rectangles around highs and lows, and entered only when price punched out of the roof of a valid box.
* This indicator distills that logic into a rolling, self-resetting state machine so you never miss a box or breakout on any timeframe.
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### ALGORITHM DETAIL (FOUR-STATE MACHINE)
**STATE 0 – RANGE DEFINITION**
• Examine the last *N* candles (default 7).
• Record `rangeHigh = highest(high, N) + tolerance`.
• Record `rangeLow = lowest(low, N) – tolerance`.
• Remember the index of the earliest bar in this window (`startBar`).
• Immediately transition to STATE 1.
**STATE 1 – RANGE VALIDATION**
• Observe the next *N* candles (again default 7).
• If **any** candle prints `high > rangeHigh` or `low < rangeLow`, the validation fails and the engine resets to STATE 0 **beginning at the violating candle**—no halfway boxes, no overlap.
• If all *N* candles remain inside the range, the box becomes **armed** and we transition to STATE 2.
**STATE 2 – ARMED (LIVE VISUAL FEEDBACK)**
• Draw a **green horizontal line** at `rangeHigh`.
• Draw a **red horizontal line** at `rangeLow`.
• Lines are extended in real time so the user can see the “live” Darvas ceiling and floor.
• Engine waits indefinitely for a breakout candle:
– **Up-Breakout** if `high > rangeHigh`.
– **Down-Breakout** if `low < rangeLow`.
**STATE 3 – BREAKOUT & COOLDOWN**
• Upon breakout the script:
1. Deletes the live range lines.
2. Draws a **filled rectangle (box)** from `startBar` to the breakout bar.
◦ **Green fill** when price exits above the ceiling.
◦ **Red fill** when price exits below the floor.
3. Optionally prints two labels at the left edge of the box:
◦ Dollar distance = `rangeHigh − rangeLow`.
◦ Percentage distance = `(rangeHigh − rangeLow) / rangeLow × 100 %`.
• After painting, the script waits a **user-defined cooldown** (default = 7 bars) before reverting to STATE 0. The cooldown guarantees separation between consecutive tests and prevents overlapping rectangles.
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### INPUT PARAMETERS (ALL ADJUSTABLE FROM THE SETTINGS PANEL)
* **BARS TO DEFINE RANGE** – Number of candles used for both the definition and validation windows. Classic Darvas logic uses 7 but feel free to raise it on higher timeframes or volatile instruments.
* **OPTIONAL TOLERANCE** – Absolute price buffer added above the ceiling and below the floor. Use a small tolerance to ignore single-tick spikes or data-feed noise.
* **COOLDOWN BARS AFTER BREAKOUT** – How long the engine pauses before hunting for the next consolidation. Setting this equal to the range length produces non-overlapping, evenly spaced boxes.
* **SHOW BOX DISTANCE LABELS** – Toggle on/off. When on, each completed box displays its vertical size in both dollars and percentage, anchored at the box’s left edge.
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### REAL-TIME VISUALISATION
* During the **armed** phase you see two extended, colour-coded guide-lines showing the exact high/low that must hold.
* When the breakout finally occurs, those lines vanish and the rectangle instantly appears, coloured to match the breakout direction.
* This immediate visual feedback turns any chart into a live Darvas tape—no manual drawing, no lag.
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### PRACTICAL USE-CASES & BEST-PRACTICE WORKFLOWS
* **INTRADAY MOMENTUM** – Drop the script on 1- to 15-minute charts to catch tight coils before they explode. The coloured box marks the precise origin of the expansion; stops can sit just inside the opposite side of the box.
* **SWING & POSITION TRADING** – On 4-hour or daily charts, boxes often correspond to accumulation bases or volatility squeezes. Waiting for the box-validated breakout filters many false signals.
* **MEAN-REVERSION OR “FADE” STRATEGIES** – If a breakout immediately fails and price re-enters the box, you may have trapped momentum traders; fading that failure can be lucrative.
* **RISK MANAGEMENT** – Box extremes provide objective, structure-based stop levels rather than arbitrary ATR multiples.
* **BACK-TEST RESEARCH** – Because each box is plotted from first range candle to breakout candle, you can programmatically measure hold time, range height, and post-breakout expectancy for any asset.
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### CUSTOMISATION IDEAS FOR POWER USERS
* **VOLATILITY-ADAPTIVE WINDOW** – Replace the fixed 7-bar length with a dynamic value tied to ATR percentile so the consolidation window stretches or compresses with volatility.
* **MULTI-TIMEFRAME LOGIC** – Only arm a 5-minute box if the 1-hour trend is aligned.
* **STRATEGY WRAPPER** – Convert the indicator to a full `strategy{}` script, automate entries on breakouts, and benchmark performance across assets.
* **ALERTS** – Create TradingView alerts on both up-breakout and down-breakout conditions; route them to webhook for broker automation.
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### FINAL THOUGHTS
**Auto Darvas Boxes** packages one of the market’s oldest yet still potent price-action frameworks into a modern, self-resetting indicator. Whether you trade equities, futures, crypto, or forex, the script highlights genuine contraction-expansion sequences—Darvas’s original “boxes”—with zero manual effort, letting you focus solely on execution and risk.
