FRACTAL ACADEMY - GOLD - MORNING ZONEThis indicator is designed to identify key price zones (Golden Zone) and analyze market structures based on the fractal strategy. It highlights the most critical price ranges during the morning session, helping traders identify maximum and minimum price levels and essential trends.
Key Features:
Fractal-Based Zones: Identifies and visualizes fractal price zones for better market analysis.
Maximum and Minimum Levels: Tracks and displays the high and low points within the session for precise trading decisions.
Customizable Settings: Allows users to personalize the visual appearance and functionality of the indicator.
Daily Dividers: Highlights daily separations to organize market data clearly.
This indicator is a powerful tool for professional traders who want to leverage fractal strategies in the gold market, particularly in the morning trading session.
Trend Analizi
Levels Strength Index [BigBeluga]Levels Strength Index provides a unique perspective on market strength by comparing price positions relative to predefined levels, delivering a dynamic probability-based outlook for potential up and down moves.
🔵 Idea:
The Levels Strength Index analyzes the price position against a series of calculated levels, assigning probabilities for upward and downward movements. These probabilities are displayed in percentage form, providing actionable insights into market momentum and strength. The color-coded display visually reinforces whether the price is predominantly above or below key levels, simplifying trend analysis.
🔵 Key Features:
Dynamic Probability Calculation: The indicator compares the current price position relative to 10 predefined levels, assigning an "Up" and "Down" percentage. For example, if the price is above 8 levels, it will display 80% upward and 20% downward probabilities.
Color-Coded Trend Visualization: When the price is above the majority of levels, the display turns green, signaling strength. Conversely, when below, it shifts to orange, reflecting bearish momentum.
Clear Up/Down Probability Labels: Probabilities are displayed with directional arrows next to the price, instantly showing the likelihood of upward or downward moves.
Probability-Based Price Line: The price line is color-coded based on the probability percentages, allowing a quick glance at the prevailing trend and market strength. This can be toggled in the settings.
Customizable Transparency: Adjust the transparency of the levels to seamlessly integrate the indicator with your preferred chart setup.
Fully Configurable: Control key parameters such as the length of levels and price color mode (trend, neutral, or none) through intuitive settings.
🔵 When to Use:
The Levels Strength Index is ideal for traders looking to:
Identify strong upward or downward market momentum using quantified probabilities.
Visualize price strength relative to key levels with intuitive color coding.
Supplement existing level-based strategies by combining probabilities and market positioning.
Gain instant clarity on potential market moves with percentage-based insights.
Whether you're trading trends or ranges, this tool enhances decision-making by combining level-based analysis with a dynamic probability system, offering a clear, actionable perspective on market behavior.
Consecutive Candles DevisSoHi Traders !!!
Level Calculation:
50% and 23.6% Fibonacci levels are calculated based on the open and close of the previous candles.
Consecutive Candle Check:
For an uptrend: Each candle's low must not touch the 50% levels of the previous candles.
For a downtrend: Each candle's high must not touch the 50% levels of the previous candles.
Pullback Level:
When a long signal is triggered, the current candle's low is recorded as a pullback level.
When a short signal is triggered, the current candle's high is recorded as a pullback level.
Breakout and Signal Generation:
If the price breaks above the calculated level, a long signal is generated; if it breaks below, a short signal is generated.
These signals are visualized on the chart.
Continuity:
The system checks the last signal to ensure the validity of new signals, maintaining the consistency of consecutive signals.
Collatz 3x+1 Devis'SoThis system combines the Collatz 3x+1 theory with technical indicators (RSI, ADX, DI) to analyze price movements and generate trading signals. The working mechanism can be explained as follows:
ADX and Directional Indicators:
ADX and DI+ with DI- are used to calculate the strength and direction of the trend in the market. The difference between DI+ and DI- serves as the basis for determining the directional movement of the price.
Collatz Sequence Application:
The difference between DI+ and DI- is normalized (to a range between 0 and 100), and the Collatz 3x+1 theory is applied to generate a sequence of numbers. Each number in this sequence represents a simplified model of price movements.
A specific step of this sequence (e.g., the 4th step) is selected to calculate a value that abstractly represents price behavior.
RSI and Signal Generation:
RSI is calculated based on the selected step from the Collatz sequence.
When RSI reaches certain levels (e.g., 10) and depending on the direction of the closing prices, the first group of signals is generated (indicating whether the trend is likely to continue or reverse).
Pullback Levels and Collatz Average:
Based on the generated signals, pullback levels are identified for long and short positions.
These levels are averaged to calculate a new reference level called the "Collatz Level," which serves as a midpoint for analyzing price movements.
Subsequent Signals:
The system generates a second group of signals depending on whether the price crosses above or below the Collatz Level. These signals trigger buy or sell positions based on market conditions.
Visualization:
The signals are visualized on the chart using specific shapes and colors (e.g., upward triangles indicate buy signals, downward triangles indicate sell signals).
Overall Objective: This system aims to produce comprehensive and creative trading signals by evaluating price movements through both a mathematical model (Collatz theory) and technical analysis tools.
VolumeMACD M5 Devis'So1. Inputs and Parameters:
Fast and Slow Lengths: These define the moving averages used for calculating the MACD.
Source: The volume data is used as the primary source.
Signal Smoothing: The signal line is smoothed with the specified length.
Oscillator and Signal MA Types: The user can select between SMA (Simple Moving Average) and EMA (Exponential Moving Average).
2. MACD Calculation:
Fast and Slow MA: The script computes fast and slow moving averages of the volume data using the selected type (SMA or EMA).
MACD: The difference between the fast and slow moving averages is calculated, and the RSI of this difference is further modified with a change function.
Signal Line: A smoothed version of the MACD using either SMA or EMA.
Top Line: The midpoint average between the MACD and the Signal Line.
3. Signal Generation:
Long Signals (Green Candles Only):
The script identifies potential buy signals when:
The MACD, Signal Line, or Top Line crosses above specific thresholds (2, 3, 4, or 5).
The candle is green (close price > open price).
Short Signals (Red Candles Only):
It identifies potential sell signals when:
The MACD, Signal Line, or Top Line crosses below specific thresholds (-2, -3, -4, or -5).
The candle is red (close price < open price).
Each signal is categorized by its strength (M2, M3, M4, M5), depending on the threshold level.
4. Visualization:
Long Signals: Represented as upward triangles of different sizes and colors based on their strength.
Short Signals: Represented as downward triangles of different sizes and colors based on their strength.
5. Pullback Levels:
The script calculates pullback levels based on the low (for long signals) and high (for short signals) of the candles where the signals occur:
Long Pullback Level: Updated to the low of the candle when a long signal is detected.
Short Pullback Level: Updated to the high of the candle when a short signal is detected.
These pullback levels are plotted as step lines:
Green Line: Represents the Long Pullback Level.
Red Line: Represents the Short Pullback Level.
6. Average Pullback Level (Topk):
The average of the Long Pullback Level and the Short Pullback Level is calculated and plotted:
Pink Line: Represents the midpoint of the pullback levels, providing an additional reference for market movement.
Overall Purpose:
This script is designed to identify potential entry and exit points in the market based on volume-based MACD signals, categorized by strength, and complemented with pullback levels for better decision-making and visualization.
Enigma Endgame with Dynamic Trend-Based FibonacciThe Enigma Endgame script combines dynamic trend-based Fibonacci levels with the core principles of the ENIGMA strategy. It provides traders with actionable signals by identifying key levels of fractal support and resistance and highlighting opportunities to trade with market momentum. This tool is designed for multi-timeframe analysis and is especially effective during high-volatility sessions like London and New York.
Purpose and Usefulness
This script was developed to simplify complex market dynamics by integrating Fibonacci principles with ENIGMA's logic of fractal support and resistance. Traders can use it to:
- Identify key breakout and retracement levels dynamically.
- Understand the shift between support and resistance as price action evolves.
- Gain confidence in their entries with real-time signals derived from logical fractal behavior.
By merging Fibonacci levels with fractal-based trading insights, this script offers a unique and comprehensive approach to analyzing market structure.
How It Works
The script uses a dual approach to provide insights:
1. Dynamic Fibonacci Levels:
- Automatically plots Fibonacci retracement and extension levels based on recent high and low swings, adjusting dynamically to current market trends.
- Allows traders to visualize key levels where price might reverse or extend.
2. Fractal Support and Resistance Logic:
- The script identifies fractal support and resistance by analyzing candle formations.
- When a candle body closes below the low of a previous candle, the previous low, which was fractal support, now becomes fractal resistance. The script generates a bearish signal, encouraging traders to look for sell opportunities at or above the previous low.
- Conversely, when a candle body closes above the high of a previous candle, the previous high, which was fractal resistance, becomes fractal support. The script generates a bullish signal, encouraging traders to look for buy opportunities at or below the previous high.
Real-Time Signals
The script marks these transitions with arrows on the chart:
- Bearish arrows indicate broken fractal support turning into resistance.
- Bullish arrows** indicate broken fractal resistance turning into support.
These signals help traders stay aligned with the trend and trade with market momentum.
Key Features
1. Session-Based Analysis: Focuses on high-probability setups by allowing traders to customize session times, such as London or US sessions.
2. Multi-Timeframe Support: Works seamlessly across multiple timeframes for both scalpers and swing traders.
3. Real-Time Alerts: Sends customizable alerts when price interacts with critical Fibonacci levels or fractal support/resistance shifts.
How to Use the Script
1. Apply the script to a clean chart for clear visualization. Avoid combining it with other scripts unless necessary.
2. Use the arrows to identify shifts in fractal support and resistance and validate opportunities for buy/sell trades.
3. Monitor the dynamic Fibonacci levels to find confluence with key price areas.
4. Customize session times to focus on high-probability trading hours.
Key Notes for Traders
- This script provides insights based on logical market structure but should be used alongside proper risk management and trading plans.
- The fractal-based approach works well in conjunction with dynamic Fibonacci levels, helping traders build confidence in their strategy.
- Adapt the script settings to match your unique trading style and timeframe preferences.
By offering a seamless integration of fractal logic and Fibonacci principles, Enigma Endgame empowers traders with actionable insights to navigate markets effectively.
Adaptive Trend Flow [QuantAlgo]Adaptive Trend Flow 📈🌊
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical indicator that harnesses the power of volatility-adjusted EMAs to navigate market trends with precision. By seamlessly integrating a dynamic dual-EMA system with adaptive volatility bands, this premium tool enables traders and investors to identify and capitalize on sustained market moves while effectively filtering out noise. The indicator's unique approach to trend detection combines classical technical analysis with modern adaptive techniques, providing traders and investors with clear, actionable signals across various market conditions and asset class.
💫 Indicator Architecture
The Adaptive Trend Flow provides a sophisticated framework for assessing market trends through a harmonious blend of EMA dynamics and volatility-based boundary calculations. Unlike traditional moving average systems that use fixed parameters, this indicator incorporates smart volatility measurements to automatically adjust its sensitivity to market conditions. The core algorithm employs a dual EMA system combined with standard deviation-based volatility bands, creating a self-adjusting mechanism that expands and contracts based on market volatility. This adaptive approach allows the indicator to maintain its effectiveness across different market phases - from ranging to trending conditions. The volatility-adjusted bands act as dynamic support and resistance levels, while the gradient visualization system provides instant visual feedback on trend strength and duration.
📊 Technical Composition and Calculation
The Adaptive Trend Flow is composed of several technical components that create a dynamic trending system:
Dual EMA System: Utilizes fast and slow EMAs for primary trend detection
Volatility Integration: Computes and smooths volatility for adaptive band calculation
Dynamic Band Generation: Creates volatility-adjusted boundaries for trend validation
Gradient Visualization: Provides progressive visual feedback on trend strength
📈 Key Indicators and Features
The Adaptive Trend Flow utilizes customizable length parameters for both EMAs and volatility calculations to adapt to different trading styles. The trend detection component evaluates price action relative to the dynamic bands to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded basis and trend lines (bullish/bearish)
Adaptive volatility-based bands
Progressive gradient background for trend duration
Clear trend reversal signals (𝑳/𝑺)
Smooth fills between key levels
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trends: Watch the basis line and trend band interactions to identify trend direction and strength. The gradient background intensity indicates trend duration and conviction.
🎯 Track Signals: Pay attention to the trend reversal markers that appear on the chart:
→ Long signals (𝑳) appear when price action confirms a bullish trend reversal
→ Short signals (𝑺) indicate validated bearish trend reversals
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you never miss significant technical developments.
🌟 Summary and Tips
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical tool designed to support trend-following strategies across different market environments and asset class. By combining dual EMA analysis with volatility-adjusted bands, it helps traders and investors identify significant trend changes while filtering out market noise, providing validated signals. The tool's adaptability through customizable EMA lengths, volatility smoothing, and sensitivity settings makes it suitable for various trading timeframes and styles, allowing users to capture trending opportunities while maintaining protection against false signals.
Key parameters to optimize for your trading and/or investing style:
Main Length: Adjust for more or less sensitivity to trend changes (default: 10)
Smoothing Length: Fine-tune volatility calculations for signal stability (default: 14)
Sensitivity: Balance band width for trend validation (default: 2.0)
Visual Settings: Customize appearance with color and display options
The Adaptive Trend Flow is particularly effective for:
Identifying sustained market trends
Detecting trend reversals with confirmation
Measuring trend strength and duration
Filtering out market noise and false signals
Remember to:
Allow the indicator to validate trend changes before taking action
Use the gradient background to gauge trend strength
Combine with volume analysis for additional confirmation
Consider multiple timeframes for a complete market view
Adjust sensitivity based on market volatility conditions
Santa's Adventure [AlgoAlpha]Introducing "Santa's Adventure," a unique and festive TradingView indicator designed to bring the holiday spirit to your trading charts. With this indicator, watch as Santa, his sleigh, Rudolf the reindeer, and a flurry of snowflakes come to life, creating a cheerful visual experience while you monitor the markets.
Key Features:
🎁 Dynamic Santa Sleigh Visualization : Santa's sleigh, Rudolf, and holiday presents adapt to price movements and chart structure.
🎨 Customizable Holiday Colors : Adjust colors for Santa’s outfit, Rudolf’s nose, sleigh, presents, and more.
❄️ Realistic Snow Animation : A cascade of snowflakes decorates your charts, with density and range adjustable to suit your preferences.
📏 Adaptive Scaling : All visuals scale based on price volatility and market dynamics.
🔄 Rotation by Trend : Santa and his entourage tilt to reflect market trends, making it both functional and fun!
How to Use :
Add the Indicator to Your Chart : Search for "Santa's Adventure" in the TradingView indicator library and add it to your favorites. Use the input menu to adjust snow density, sleigh colors, and other festive elements to match your trading style or holiday mood.
Observe the Market : Watch Santa’s sleigh glide across the chart while Rudolf leads the way, with snowflakes gently falling to enhance the visual charm.
How It Works :
The indicator uses price volatility and market data to dynamically position Santa, his sleigh, Rudolf, and presents on the chart. Santa's Sleigh angle adjusts based on price trends, reflecting market direction. Santa's sleigh and the snowstorm are plotted using advanced polyline arrays for a smooth and interactive display. A festive algorithm powers the snowfall animation, ensuring a consistent and immersive holiday atmosphere. The visuals are built to adapt seamlessly to any market environment, combining holiday cheer with market insights.
Add "Santa's Adventure" to your TradingView charts today and bring the holiday spirit to your trading journey, Merry Christmas! 🎅🎄
Intelligent Support & Resistance Lines (MTF)This script automatically detects and updates key Support & Resistance (S/R) levels using a higher timeframe (MTF) approach. By leveraging volume confirmation, levels are only identified when significant volume (relative to the SMA of volume) appears. Each level is drawn horizontally in real time, and whenever the market breaks above a resistance level (and retests it), the script automatically converts that resistance into support. The opposite occurs if the market breaks below a support level.
Key Features:
Multi-Timeframe (MTF) Data
Select a higher timeframe for more robust S/R calculations.
The script fetches High, Low, Volume, and SMA of Volume from the chosen timeframe.
Automatic Role Reversal
Resistance becomes Support if a breakout retest occurs.
Support becomes Resistance if a breakdown retest occurs.
Dynamic Line Width & Labeling
Each S/R line’s thickness increases with additional touches, making frequently tested levels easier to spot.
Labels automatically display the number of touches (e.g., “R 3” or “S 2”) and can have adjustable text size.
Volume Threshold
Only significant pivots (where volume exceeds a specified multiplier of average volume) are plotted, reducing noise.
Horizontal Offset for Clarity
Lines are drawn with timestamps instead of bar_index, ensuring that old levels remain visible without chart limitations.
Adjustable Maximum Levels
Maintain a clean chart by limiting how many S/R lines remain at once.
How It Works:
Pivot Detection: The script identifies swing highs and lows from the higher timeframe (timeframeSR).
Volume Check: Only pivots with volume ≥ (SMA Volume * volumeThreshold) qualify.
Line Creation & Updates: New lines are drawn at these pivots, labeled “R #” or “S #,” indicating how many times they’ve been touched.
Role Reversal: If price breaks above a resistance and retests it from above, that line is removed from the resistance array and re-created in the support array (and vice versa).
Inputs:
Timeframe for S/R: Choose the higher timeframe for S/R calculations.
Swing Length: Number of bars to consider in a pivot calculation.
Minimum Touches: Minimum required touches before drawing or updating a level.
Volume Threshold (Multiplier): Determines how much volume (relative to SMA) is needed to confirm a pivot.
Maximum Number of Levels: Caps how many S/R lines can be shown at once.
Color for Resistance & Color for Support: Customize your preferred colors for lines and labels.
Label Size: Select from "tiny", "small", "normal", "large", or "huge" to resize the labels.
Disclaimer:
This script is intended for educational purposes and should not be interpreted as financial or investment advice. Always conduct your own research or consult a qualified professional before making trading decisions.
GOLDEN RSI @thejamiulGOLDEN RSI @thejamiul is a versatile Relative Strength Index (RSI)-based tool designed to provide enhanced visualization and additional insights into market trends and potential reversal points. This indicator improves upon the traditional RSI by integrating gradient fills for overbought/oversold zones and divergence detection features, making it an excellent choice for traders who seek precise and actionable signals.
Key Features
1. Customizable RSI Settings
RSI Length: Adjust the RSI calculation period to suit your trading style (default: 14).
Source Selection: Choose the price source (e.g., close, open, high, low) for RSI calculation.
2. Gradient-Filled RSI Zones
Overbought Zone (80-100): Gradient fill with shades of green to indicate strong bullish conditions.
Oversold Zone (0-20): Gradient fill with shades of red to highlight strong bearish conditions.
3. Support and Resistance Levels
Predefined horizontal lines:
Upper Band: 80
Middle Bands: 60 (bullish) and 40 (bearish)
Lower Band: 20
These levels help identify overbought, oversold, and neutral zones.
4. Divergence Detection
Bullish Divergence: Detects lower lows in price with corresponding higher lows in RSI, signaling potential upward reversals.
Bearish Divergence: Detects higher highs in price with corresponding lower highs in RSI, indicating potential downward reversals.
Visual Indicators:
Bullish divergence is marked with green labels and line plots.
Bearish divergence is marked with red labels and line plots.
5. Alert Functionality
Custom Alerts: Set up alerts for bullish or bearish divergences to stay notified of potential trading opportunities without constant chart monitoring.
6. Enhanced Chart Visualization
RSI Plot: A smooth and visually appealing RSI curve.
Color Coding: Gradient and fills for better distinction of trading zones.
Pivot Labels: Clear identification of divergence points on the RSI plot.
7. User-Friendly Interface
Display Customization: Toggle features such as divergence calculations for optimized performance.
Tooltips: Helpful guidance for input settings to ensure ease of use.
8. Learn Trading on YouTube
Are you looking to deepen your trading knowledge and consistently make profitable trades? Join my YouTube channel, where I share in-depth tutorials, market insights, and strategies to master technical analysis. Subscribe now to learn how to use this indicator effectively and elevate your trading game! Go to - youtube.com/@thejamiul
Usage
This indicator is ideal for traders looking to:
Identify overbought and oversold conditions visually.
Detect potential reversals with divergence analysis.
Customize RSI settings for specific trading strategies.
Receive real-time alerts for divergence opportunities.
RSI Divergence + Sweep + Signal + Alerts Toolkit [TrendX_]The RSI Toolkit is a powerful set of tools designed to enhance the functionality of the traditional Relative Strength Index (RSI) indicator. By integrating advanced features such as Moving Averages, Divergences, and Sweeps, it helps traders identify key market dynamics, potential reversals, and newly-approach trading stragies.
The toolkit expands on standard RSI usage by incorporating features from smart money concepts (Just try to be creative 🤣 Hope you like it), providing a deeper understanding of momentum, liquidity sweeps, and trend reversals. It is suitable for RSI traders who want to make more informed and effective trading decisions.
💎 FEATURES
RSI Moving Average
The RSI Moving Average (RSI MA) is the moving average of the RSI itself. It can be customized to use various types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Moving Average (RMA), and Volume-Weighted Moving Average (VWMA).
The RSI MA smooths out the RSI fluctuations, making it easier to identify trends and crossovers. It helps traders spot momentum shifts and potential entry/exit points by observing when the RSI crosses above or below its moving average.
RSI Divergence
RSI Divergence identifies discrepancies between price action and RSI momentum. There are two types of divergences: Regular Divergence - Indicates a potential trend reversal; Hidden Divergence - Suggests the continuation of the current trend.
Divergence is a critical signal for spotting weakness or strength in a trend. Regular divergence highlights potential trend reversals, while hidden divergence confirms trend continuation, offering traders valuable insights into market momentum and possible trade setups.
RSI Sweep
RSI Sweep detects moments when the RSI removes liquidity from a trend structure by sweeping above or below the price at key momentum level crossing. These sweeps are overlaid on the RSI chart for easier visualized.
RSI Sweeps are significant because they indicate potential turning points in the market. When RSI sweeps occur: In an uptrend - they suggest buyers' momentum has peaked, possibly leading to a reversal; In a downtrend - they indicate sellers’ momentum has peaked, also hinting at a reversal.
(Note: This feature incorporates Liquidity Sweep concepts from Smart Money Concepts into RSI analysis, helping RSI traders identify areas where liquidity has been removed, which often precedes a trend reversal)
🔎 BREAKDOWN
RSI Moving Average
How MA created: The RSI value is calculated first using the standard RSI formula. The MA is then applied to the RSI values using the trader’s chosen type of MA (SMA, EMA, RMA, or VWMA). The flexibility to choose the type of MA allows traders to adjust the smoothing effect based on their trading style.
Why use MA: RSI by itself can be noisy and difficult to interpret in volatile markets. Applying moving average would provide a smoother, more reliable view of RSI trends.
RSI Divergence
How Regular Divergence created: Regular Divergence is detected when price forms HIGHER highs while RSI forms LOWER highs (bearish divergence) or when price forms LOWER lows while RSI forms HIGHER lows (bullish divergence).
How Hidden Divergence created: Hidden Divergence is identified when price forms HIGHER lows while RSI forms LOWER lows (bullish hidden divergence) or when price forms LOWER highs while RSI forms HIGHER highs (bearish hidden divergence).
Why use Divergence: Divergences provide early warning signals of a potential trend change. Regular divergence helps traders anticipate reversals, while hidden divergence supports trend continuation, enabling traders to align their trades with market momentum.
RSI Sweep
How Sweep created: Trend Structure Shift are identified based on the RSI crossing key momentum level of 50. To track these sweeps, the indicator pinpoints moments when liquidity is removed from the Trend Structure Shift. This is a direct application of Liquidity Sweep concepts used in Smart Money theories, adapted to RSI.
Why use Sweep: RSI Sweeps are created to help traders detect potential trend reversals. By identifying areas where momentum has exhausted during a certain trend direction, the indicator highlights opportunities for traders to enter trades early in a reversal or continuation phase.
⚙️ USAGES
Divergence + Sweep
This is an example of combining Devergence & Sweep in BTCUSDT (1 hour)
Wait for a divergence (regular or hidden) to form on the RSI. After the divergence is complete, look for a sweep to occur. A potential entry might be formed at the end of the sweep.
Divergences indicate a potential trend change, but confirmation is required to ensure the setup is valid. The RSI Sweep provides that confirmation by signaling a liquidity event, increasing the likelihood of a successful trade.
Sweep + MA Cross
This is an example of combining Devergence & Sweep in BTCUSDT (1 hour)
Wait for an RSI Sweep to form then a potential entry might be formed when the RSI crosses its MA.
The RSI Sweep highlights a potential turning point in the market. The MA cross serves as additional confirmation that momentum has shifted, providing a more reliable and more potential entry signal for trend continuations.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
SyedArzaanYahyaAnjumThis script is for our awesome Anjum bhayya BTM.
No one should use this indicator.
Support and Resistance Trading IndicatorИндикатор Support and Resistance Trading Indicator разработан для эффективной торговли на уровнях поддержки и сопротивления. Он автоматически определяет ключевые уровни, анализирует экстремумы цены за заданный период и отображает сигналы для входа в рынок на основе популярных разворотных паттернов.
Основные функции
Автоматическое определение уровней поддержки и сопротивления:
Анализ экстремумов цены за заданный пользователем период.
Игнорирование мелких рыночных движений и шума для отображения только значимых уровней.
Сигналы для входа в рынок:
Покупка: При формировании разворотного паттерна (пин-бар с длинной нижней тенью или бычье поглощение) на уровне поддержки, подтвержденного увеличением объема.
Продажа: При формировании разворотного паттерна (молот с длинной верхней тенью или медвежье поглощение) на уровне сопротивления, также подтвержденного объемом.
Отображение ключевой информации на графике:
Уровни поддержки и сопротивления в виде линий с гибкими настройками стиля и цвета.
Стрелки и метки для сигналов входа с указанием текущей цены.
Рекомендуемые уровни стоп-лосса (SL) и тейк-профита (TP) с соответствующими ценами.
Гибкие настройки:
Период для анализа уровней.
Настройка стоп-лосса: в процентах от цены.
Выбор типа тейк-профита: фиксированный (по соотношению риск/прибыль) или динамический (следующий уровень).
Параметры паттернов (например, минимальная длина тени для пин-бара).
Режимы отображения:
Минималистичный: Только уровни и сигналы для входа.
Расширенный: Дополнительная информация, включая визуализацию стоп-лосса, тейк-профита и выделение паттернов.
Кому подойдет этот индикатор?
Этот индикатор полезен для:
Трейдеров, которые торгуют от уровней поддержки и сопротивления.
Любителей паттернов Price Action.
Начинающих и опытных трейдеров, желающих автоматизировать поиск точек входа.
Как использовать?
Настройте параметры индикатора (период анализа, стиль уровней, параметры стоп-лосса и тейк-профита).
Следите за сигналами на покупку и продажу, которые отображаются стрелками и метками на графике.
Используйте рекомендуемые уровни стоп-лосса и тейк-профита для управления рисками.
Примечание
Индикатор не является торговой стратегией. Перед использованием обязательно протестируйте его на исторических данных и применяйте в сочетании с другими инструментами анализа.
//@version=6
indicator("Support and Resistance Trading Indicator", overlay=true)
// === Входные параметры ===
period = input.int(20, title="Период для расчета уровней")
support_color = input.color(color.green, title="Цвет уровня поддержки")
resistance_color = input.color(color.red, title="Цвет уровня сопротивления")
line_style = input.string("solid", title="Стиль линий", options= )
show_patterns = input.bool(true, title="Отображать паттерны на графике")
stop_loss_percent = input.float(1.0, title="Стоп-лосс (%)", step=0.1)
risk_reward_ratio = input.float(2.0, title="Соотношение риск/прибыль")
pattern_min_shadow = input.float(2.0, title="Мин. длина тени для пин-бара (%)")
mode = input.string("expanded", title="Режим отображения", options= )
// === Расчет уровней поддержки и сопротивления ===
var support_levels = array.new_float(0)
var resistance_levels = array.new_float(0)
highest_high = ta.highest(high, period)
lowest_low = ta.lowest(low, period)
is_support = low == lowest_low
is_resistance = high == highest_high
if is_support
array.push(support_levels, low)
if is_resistance
array.push(resistance_levels, high)
// Удаление старых уровней для оптимизации
if array.size(support_levels) > 10
array.shift(support_levels)
if array.size(resistance_levels) > 10
array.shift(resistance_levels)
// === Функция для отрисовки линий ===
draw_levels(levels, color, style) =>
for i = 0 to array.size(levels) - 1
line.new(x1=bar_index ,
x2=bar_index + period,
y1=array.get(levels, i),
y2=array.get(levels, i),
color=color, width=1, style=style)
// Отрисовка уровней
draw_levels(support_levels, support_color, line_style)
draw_levels(resistance_levels, resistance_color, line_style)
// === Проверка паттернов ===
is_pinbar_bullish = (close > open) and ((low / close) * 100 > pattern_min_shadow)
is_engulfing_bullish = close < open and close > open and close > open
is_pinbar_bearish = (close < open) and ((high / close) * 100 > pattern_min_shadow)
is_engulfing_bearish = close > open and close < open and close < open
is_volume_high = volume > ta.sma(volume, period)
// Сигналы для покупки и продажи
buy_signal = is_support and (is_pinbar_bullish or is_engulfing_bullish) and is_volume_high
sell_signal = is_resistance and (is_pinbar_bearish or is_engulfing_bearish) and is_volume_high
// === Отображение сигналов на графике ===
if buy_signal
label.new(bar_index, low,
str.tostring(close, "#.##") + " BUY",
style=label.style_label_up,
color=color.green,
textcolor=color.white)
if sell_signal
label.new(bar_index, high,
str.tostring(close, "#.##") + " SELL",
style=label.style_label_down,
color=color.red,
textcolor=color.white)
// === Расчет стоп-лосса и тейк-профита ===
stop_loss = buy_signal ? low * (1 - stop_loss_percent / 100) : sell_signal ? high * (1 + stop_loss_percent / 100) : na
take_profit = buy_signal ? close + (close - stop_loss) * risk_reward_ratio : sell_signal ? close - (stop_loss - close) * risk_reward_ratio : na
// Отображение стоп-лосса с ценой
if not na(stop_loss)
label.new(bar_index, stop_loss,
"SL: " + str.tostring(stop_loss, "#.##"),
style=label.style_label_left,
color=color.orange,
textcolor=color.black)
// === Визуализация сигналов через цветные линии ===
plotshape(series=buy_signal, style=shape.triangleup, location=location.belowbar, color=color.new(color.green, 0), size=size.small)
plotshape(series=sell_signal, style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), size=size.small)
// === Дополнительное отображение ===
plot(stop_loss, title="Stop Loss", color=color.orange, style=plot.style_circles)
plot(take_profit, title="Take Profit", color=color.blue, style=plot.style_circles)
Almas BhaijaanThis is a trend analysing script.
bigger time frame such as 30 mins or 1 hour good for analysis.
Quadriple StochasticThis is my Quadriple Stochastic Indicator. I run across a youtube channel called Day Trading Radio so a special thank you to them. They make trades using 4 Stochastic at different setting ( the settings are preset). The idea of the indicator is when all four stochastic are below oversold (preset <20) or above overbought (preset >80) at the same time this is a very good moment to enter a position or close a position. ( not financial advise ;) ) Especially on the higher TF i think this is a good starting point. Try it out and let me know what your thoughts are.
[Taj_treyder] signal buy-sell + ZigZagСалом ба хама Трейдерони Точик! Ман Абдулло Ахмадов хастам.
Ман ин индикатор-ро барои истифодабарии трейдер-хо ва тредуня-хои Точик сохтам,
Аз сабабе ки ин индикатор-ро ман аз 4- авторхои дигари Тредингвью гирифтам якчоя кардам онро дар руйи хати умуми монда наметонам. Шумо метавонед ин индикатор-ро озод дар графикхои худ истифода баред (Таймфрейми аз 45М, 1Н, 2Н, 4Н, то D1).
Хусусият-хои ин индикатор: Ердам кардан дар Торговляи шумо, Осон намудани Тичорати шумо дар бозорхои чахони!
1.- Муян намудани уровен-хои Сапративления ва Подержка,
2.- Муаян намудани Линия Тренда.
3.- Муаян намудани Восходящий ё Нисходящий Тренд (Рынок боло ё поён харакат дорад).
4.- Муаян намудани Точка входа-100% (чойи аники 100% Сделкаро кушодан).
5.- Мондани-100% Стоп-Лосс (чойи аники-100% мондани басс-зарар-дидан, - 2% аз Капитал).
6.- Мондани Тейк-профит (Чойи аники-100% баландтар-ини гирифтани фойда, 1/3, 1/5).
Ман ин индикаторро барои истифода барии Трейдер-хои тамоми Точикони руи замин сохтам! истифода-барии ин ройгон (бе пул, "без платно" мебошад).
Ин Индикатор кори шуморо-95% осон мекунад, Ердами аники хисоби математикии Уровинхо, Ердами аники математикии Линия-Тренда, Ердами-100% аники кушодани сделкахои Лонг ё Шорт (100%- сигналы Buy и Sell с помощью искусственного интеллекта).
Ердами фахмиши боло ё поён равии Рынокхо (100%- определения Восходящего и Нисходящего рынока).
Macd and RSI % Change Signals Devis'SoLong Signal Strategy
RSI-Based Long Signals:
A long signal is triggered when the percentage change in RSI of the close price crosses over thresholds like 10 or 20.
Similarly, a long signal is triggered when the percentage change in RSI of the low price crosses over 20.
MACD-Based Long Signals:
A long signal is triggered when the MACD, its signal line, or the midpoint of the two crosses over thresholds such as 2, 3, 4, or 5.
When a long signal is triggered, the low of the corresponding candle is recorded as the "pullback level." This pullback level is displayed on the chart to help identify potential areas of support.
Short Signal Strategy
RSI-Based Short Signals:
A short signal is triggered when the percentage change in RSI of the low price crosses under -20.
Similarly, a short signal is triggered when the percentage change in RSI of the close price crosses under thresholds like -10 or -20.
MACD-Based Short Signals:
A short signal is triggered when the MACD, its signal line, or the midpoint of the two crosses under thresholds such as -2, -3, -4, or -5.
When a short signal is triggered, the high of the corresponding candle is recorded as the "pullback level." This pullback level is displayed on the chart to help identify potential areas of resistance.
Visualization
Signals:
Long signals are plotted as green upward triangles below the price bars.
Short signals are plotted as red downward triangles above the price bars.
Pullback Levels:
Long pullback levels are plotted as a green line below the price.
Short pullback levels are plotted as a red line above the price.
Alerts
Alerts are defined for specific signals, allowing traders to receive notifications when important levels are crossed, such as:
Long signal based on RSI or MACD changes.
Short signal based on RSI or MACD changes.
RS ScanThis indicator is primarily used in Pine Screener to filter stocks with relative strength. There are three screening modes: daily close range percentage, weekly close range percentage, and stock price change.
The close range is used to filter stocks where the close price is positioned at a certain percentage of the entire bar within a day or a week. For example, in the weekly close range percentage, selecting "above 90" means that the weekly closing price is above 90% of the entire bar.
The stock price change is used to filter stocks based on price changes within a specified date range. We can use TradingView to determine the distance from the recent high of SPX to today's closing price: the number of bars X and the price change value Y. Then, in the indicator settings, select the date range X for the number of bars and choose "above Y" in the manual setup. This way, we can filter out stocks that have a price change greater than Y within X bars.
MA Deviation Suite [InvestorUnknown]This indicator combines advanced moving average techniques with multiple deviation metrics to offer traders a versatile tool for analyzing market trends and volatility.
Moving Average Types :
SMA, EMA, HMA, DEMA, FRAMA, VWMA: Standard moving averages with different characteristics for smoothing price data.
Corrective MA: This method corrects the MA by considering the variance, providing a more responsive average to price changes.
f_cma(float src, simple int length) =>
ma = ta.sma(src, length)
v1 = ta.variance(src, length)
v2 = math.pow(nz(ma , ma) - ma, 2)
v3 = v1 == 0 or v2 == 0 ? 1 : v2 / (v1 + v2)
var tolerance = math.pow(10, -5)
float err = 1
// Gain Factor
float kPrev = 1
float k = 1
for i = 0 to 5000 by 1
if err > tolerance
k := v3 * kPrev * (2 - kPrev)
err := kPrev - k
kPrev := k
kPrev
ma := nz(ma , src) + k * (ma - nz(ma , src))
Fisher Least Squares MA: Aims to reduce lag by using a Fisher Transform on residuals.
f_flsma(float src, simple int len) =>
ma = src
e = ta.sma(math.abs(src - nz(ma )), len)
z = ta.sma(src - nz(ma , src), len) / e
r = (math.exp(2 * z) - 1) / (math.exp(2 * z) + 1)
a = (bar_index - ta.sma(bar_index, len)) / ta.stdev(bar_index, len) * r
ma := ta.sma(src, len) + a * ta.stdev(src, len)
Sine-Weighted MA & Cosine-Weighted MA: These give more weight to middle bars, creating a smoother curve; Cosine weights are shifted for a different focus.
Deviation Metrics :
Average Absolute Deviation (AAD) and Median Absolute Deviation (MAD): AAD calculates the average of absolute deviations from the MA, offering a measure of volatility. MAD uses the median, which can be less sensitive to outliers.
Standard Deviation (StDev): Measures the dispersion of prices from the mean.
Average True Range (ATR): Reflects market volatility by considering the day's range.
Average Deviation (adev): The average of previous deviations.
// Calculate deviations
float aad = f_aad(src, dev_len, ma) * dev_mul
float mad = f_mad(src, dev_len, ma) * dev_mul
float stdev = ta.stdev(src, dev_len) * dev_mul
float atr = ta.atr(dev_len) * dev_mul
float avg_dev = math.avg(aad, mad, stdev, atr)
// Calculated Median with +dev and -dev
float aad_p = ma + aad
float aad_m = ma - aad
float mad_p = ma + mad
float mad_m = ma - mad
float stdev_p = ma + stdev
float stdev_m = ma - stdev
float atr_p = ma + atr
float atr_m = ma - atr
float adev_p = ma + avg_dev
float adev_m = ma - avg_dev
// upper and lower
float upper = f_max4(aad_p, mad_p, stdev_p, atr_p)
float upper2 = f_min4(aad_p, mad_p, stdev_p, atr_p)
float lower = f_min4(aad_m, mad_m, stdev_m, atr_m)
float lower2 = f_max4(aad_m, mad_m, stdev_m, atr_m)
Determining Trend
The indicator generates trend signals by assessing where price stands relative to these deviation-based lines. It assigns a trend score by summing individual signals from each deviation measure. For instance, if price crosses above the MAD-based upper line, it contributes a bullish point; crossing below an ATR-based lower line contributes a bearish point.
When the aggregated trend score crosses above zero, it suggests a shift towards a bullish environment; crossing below zero indicates a bearish bias.
// Define Trend scores
var int aad_t = 0
if ta.crossover(src, aad_p)
aad_t := 1
if ta.crossunder(src, aad_m)
aad_t := -1
var int mad_t = 0
if ta.crossover(src, mad_p)
mad_t := 1
if ta.crossunder(src, mad_m)
mad_t := -1
var int stdev_t = 0
if ta.crossover(src, stdev_p)
stdev_t := 1
if ta.crossunder(src, stdev_m)
stdev_t := -1
var int atr_t = 0
if ta.crossover(src, atr_p)
atr_t := 1
if ta.crossunder(src, atr_m)
atr_t := -1
var int adev_t = 0
if ta.crossover(src, adev_p)
adev_t := 1
if ta.crossunder(src, adev_m)
adev_t := -1
int upper_t = src > upper ? 3 : 0
int lower_t = src < lower ? 0 : -3
int upper2_t = src > upper2 ? 1 : 0
int lower2_t = src < lower2 ? 0 : -1
float trend = aad_t + mad_t + stdev_t + atr_t + adev_t + upper_t + lower_t + upper2_t + lower2_t
var float sig = 0
if ta.crossover(trend, 0)
sig := 1
else if ta.crossunder(trend, 0)
sig := -1
Backtesting and Performance Metrics
The code integrates with a backtesting library that allows traders to:
Evaluate the strategy historically
Compare the indicator’s signals with a simple buy-and-hold approach
Generate performance metrics (e.g., mean returns, Sharpe Ratio, Sortino Ratio) to assess historical effectiveness.
Practical Usage and Calibration
Default settings are not optimized: The given parameters serve as a starting point for demonstration. Users should adjust:
len: Affects how smooth and lagging the moving average is.
dev_len and dev_mul: Influence the sensitivity of the deviation measures. Larger multipliers widen the bands, potentially reducing false signals but introducing more lag. Smaller multipliers tighten the bands, producing quicker signals but potentially more whipsaws.
This flexibility allows the trader to tailor the indicator for various markets (stocks, forex, crypto) and time frames.
Disclaimer
No guaranteed results: Historical performance does not guarantee future outcomes. Market conditions can vary widely.
User responsibility: Traders should combine this indicator with other forms of analysis, appropriate risk management, and careful calibration of parameters.
[Taj_treyder] signal buy-sell + ZigZagСалом ба хама Трейдерони Точик! Ман Абдулло Ахмадов хастам.
Ман ин индикатор-ро барои истифодабарии трейдер-хо ва тредуня-хои Точик сохтам,
Аз сабабе ки ин индикатор-ро ман аз 4- авторхои дигари Тредингвью гирифтам якчоя кардам онро дар руйи хати умуми монда наметонам. Шумо метавонед ин индикатор-ро озод дар графикхои худ истифода баред (Таймфрейми аз 45М, 1Н, 2Н, 4Н, то D1).
Хусусият-хои ин индикатор: Ердам кардан дар Торговляи шумо, Осон намудани Тичорати шумо дар бозорхои чахони!
1.- Муян намудани уровен-хои Сапративления ва Подержка,
2.- Муаян намудани Линия Тренда.
3.- Муаян намудани Восходящий ё Нисходящий Тренд (Рынок боло ё поён харакат дорад).
4.- Муаян намудани Точка входа-100% (чойи аники 100% Сделкаро кушодан).
5.- Мондани-100% Стоп-Лосс (чойи аники-100% мондани басс-зарар-дидан, - 2% аз Капитал).
6.- Мондани Тейк-профит (Чойи аники-100% баландтар-ини гирифтани фойда, 1/3, 1/5).
Ман ин индикаторро барои истифода барии Трейдер-хои тамоми Точикони руи замин сохтам! истифода-барии ин ройгон (бе пул, "без платно" мебошад).
Ин Индикатор кори шуморо-95% осон мекунад, Ердами аники хисоби математикии Уровинхо, Ердами аники математикии Линия-Тренда, Ердами-100% аники кушодани сделкахои Лонг ё Шорт (100%- сигналы Buy и Sell с помощью искусственного интеллекта).
Ердами фахмиши боло ё поён равии Рынокхо (100%- определения Восходящего и Нисходящего рынока).
Future Prediction Lines//@version=6
indicator("Future Prediction Lines", overlay=true)
/*
# **Future Prediction Lines v3 (Indicator Documentation)**
---
## **Purpose**
The **Future Prediction Lines Indicator** is a powerful tool designed to visualize potential future price movements based on historical trends and multi-timeframe analysis. By integrating **linear regression**, **momentum indicators (MACD and RSI)**, and **confidence bands**, this indicator helps traders anticipate where prices might move over the next ` ` bars.
---
## **Key Features**
1. **Future Price Prediction**:
- Forecasts price movements for a user-defined number of bars into the future.
- Combines trends from multiple timeframes for a more robust prediction.
2. **Confidence Bands**:
- Upper and lower bounds based on **ATR (Average True Range)** to estimate potential volatility around the predicted price.
3. **Customizable Parameters**:
- **Future Bars**: Adjust how far ahead the predictions extend.
- **Higher Timeframe Analysis**: Incorporate data from larger timeframes (e.g., Daily, Weekly).
4. **Visibility Toggles**:
- **Reference Lines**: Hide or display the local and higher timeframe trends.
- **Confidence Bands**: Optionally show or hide the volatility bands around the forecast.
5. **Visual Markers**:
- **Red prediction lines** start from the current price and extend into the future.
- A **label** displays the forecasted price at the furthest point.
---
## **How It Works**
### 1. **Linear Regression (Trend Analysis)**:
- The indicator calculates **linear regression (LR)** for the chart's current timeframe and a higher timeframe.
- It averages these trends to create a combined forecast.
### 2. **Momentum Adjustments**:
- **MACD**: Adjusts predictions based on short-term momentum.
- **RSI**: Accounts for overbought/oversold conditions, nudging forecasts accordingly.
### 3. **Confidence Bands**:
- Uses **ATR** to generate upper and lower bounds, highlighting potential price volatility around the central forecast.
---
## **Recommended Timeframes**
### **1. Day Trading**:
- **Chart Timeframe**: 5m, 15m, 1H
- **Higher TF**: 4H or Daily
- **Focus**: Captures intraday trends and micro-movements.
### **2. Swing Trading**:
- **Chart Timeframe**: 4H, Daily
- **Higher TF**: Weekly
- **Focus**: Anticipates multi-day price swings within trends.
### **3. Position Trading**:
- **Chart Timeframe**: Daily, Weekly
- **Higher TF**: Monthly
- **Focus**: Analyzes macro trends and large price movements over weeks or months.
---
## **Settings Overview**
| **Parameter** | **Description** |
|-----------------------|-----------------------------------------------------------------------------------------------------------------------------|
| **Future Bars** | Number of bars to project into the future. |
| **Higher TF** | Select a higher timeframe to incorporate larger trends (e.g., "D" for Daily, "W" for Weekly). |
| **Confidence Bands** | Option to show upper/lower bounds based on ATR. |
| **MACD Settings** | Fine-tune MACD lengths for momentum adjustment. |
| **RSI Settings** | Adjust RSI length and overbought/oversold levels to influence predictions. |
| **Show Reference** | Toggle local and higher timeframe regression lines for comparison (default: hidden). |
---
## **How to Use**
1. **Add the Indicator**:
- Copy the script into TradingView’s Pine Editor.
- Click **Add to Chart**.
2. **Adjust Settings**:
- Open the indicator settings to configure:
- Number of future bars.
- Higher timeframe for additional trend analysis.
- Confidence bands (toggle visibility and adjust width using ATR).
3. **Interpret the Predictions**:
- **Red Line**: The central forecast for future prices.
- **Shaded Bands**: Optional confidence bands show volatility ranges.
- **Final Label**: Displays the predicted price at the furthest bar.
---
## **Practical Tips**
- **For Day Traders**:
- Use **shorter chart timeframes (5m–1H)** combined with a higher timeframe like **4H or Daily**.
- Focus on quick intraday price movements.
- **For Swing Traders**:
- Use a **4H or Daily chart** with **Weekly higher timeframe trends** for multi-day analysis.
- **For Long-Term Traders**:
- Use **Daily or Weekly charts** combined with **Monthly timeframe trends** to analyze macro movements.
---
## **Example Workflow**
1. Set your **chart timeframe** based on your trading style.
2. Select a **higher timeframe** in the settings (e.g., Weekly for swing trading).
3. Observe the **red prediction line** for potential price trajectory and plan entries/exits based on:
- Alignment with existing support/resistance levels.
- Confidence band boundaries (volatility range).
- Momentum indicators (e.g., MACD/RSI) confirming direction.
---
## **Limitations**
1. **Lagging Nature**:
- Linear regression is based on historical data and may lag during high-impact events.
2. **Assumption of Continuity**:
- Forecast assumes trends continue uninterrupted, which may not account for sudden market reversals.
3. **No Guarantee**:
- Predictions are **probabilistic** and should always be used in conjunction with other tools and analysis.
---
## **Final Note**
The **Future Prediction Lines Indicator** is a tool for projecting possible price paths. While it provides insights into potential price movements, always validate predictions with **price action**, **support/resistance levels**, and other **technical indicators** for better decision-making.
*/
GOLDEN PIVOT by @thejamiulGolden Pivot by @thejamiul is the ultimate trading companion, meticulously designed to provide traders with precise and actionable market levels for maximizing trading success. With its innovative blend of pivot systems, high/low markers, and customizable features, this indicator empowers you to execute trades with accuracy and confidence.
What Makes Golden Pivot Unique?
This indicator integrates multiple pivot methodologies and key levels into one powerful tool, making it suitable for a wide variety of trading strategies. Whether you're into breakout trading, virgin trades, or analyzing market trends, Golden Pivot Pro v5 has got you covered.
Key Features:
Camarilla Pivots:
Calculates H3, H4, H5, L3, L4, and L5 levels dynamically.
Helps identify strong support and resistance zones for reversal or breakout opportunities.
Floor Pivots:
Classic pivot point along with BC (Bottom Center) and TC (Top Center) levels for intraday and swing trading setups.
Multi-Timeframe High/Low Levels:
Plots static high/low markers for yearly, monthly, weekly, and daily timeframes.
Provides clarity on major market turning points and breakout zones.
Close Price Levels:
Highlights yearly, monthly, weekly, and daily close prices to aid in understanding market bias.
Custom Timeframe Selection:
Flexibly choose daily, weekly, monthly, or yearly pivot resolutions to suit your trading style and objectives.
Comprehensive Visualization:
Color-coded levels for quick recognition of significant zones.
Dynamic updates to adapt to changing market conditions seamlessly.
How to Use Golden Pivot by @thejamiul for High-Accuracy Trading?
This indicator enables you to implement strategies like:
Breakout Trading: Identify critical levels where price might break out for momentum trades.
Virgin Trades: Use untouched levels for precision entries with minimal risk.
Trend Reversals: Spot overbought or oversold zones using Camarilla and Floor Pivots.
Range-Bound Markets: Utilize high/low levels to define boundaries and trade within the range.
Why Choose Golden Pivot by @thejamiul?
With this tool, you’re not just getting pivot points—you’re unlocking a holistic framework to trade with up to 90% accuracy when used with the right strategies.
For an in-depth understanding of these strategies and how to achieve consistent profitability, visit my YouTube channel: youtube.com/@thejamiul/
👉 @thejamiul
Explore detailed tutorials, trading setups, and exclusive tips to take your trading to the next level!
Relative StrengthThis strategy employs a custom "strength" function to assess the relative strength of a user-defined source (e.g., closing price, moving average) compared to its historical performance over various timeframes (8, 34, 20, 50, and 200 periods). The strength is calculated as a percentage change from an Exponential Moving Average (EMA) for shorter timeframes and a Simple Moving Average (SMA) for longer timeframes. Weights are then assigned to each timeframe based on a logarithmic scale, and a weighted average strength is computed.
Key Features:
Strength Calculation:
Calculates the relative strength of the source using EMAs and SMAs over various timeframes.
Assigns weights to each timeframe based on a logarithmic scale, emphasizing shorter timeframes.
Calculates a weighted average strength for a comprehensive view.
Visualizations:
Plots the calculated strength as a line, colored green for positive strength and red for negative strength.
Fills the background area below the line with green for positive strength and red for negative strength, enhancing visualization.
Comparative Analysis:
Optionally displays the strength of Bitcoin (BTC), Ethereum (ETH), S&P 500, Nasdaq, and Dow Jones Industrial Average (DJI) for comparison with the main source strength.
Backtesting:
Allows users to specify a start and end time for backtesting the strategy's performance.
Trading Signals:
Generates buy signals when the strength turns positive from negative and vice versa for sell signals.
Entry and exit are conditional on the backtesting time range.
Basic buy and sell signal plots are commented out (can be uncommented for visual representation).
Risk Management:
Closes all open positions and cancels pending orders outside the backtesting time range.
Disclaimer:
Backtesting results do not guarantee future performance. This strategy is for educational purposes only and should be thoroughly tested and refined before risking capital.
Additional Notes:
- The strategy uses a custom "strength" function that can be further customized to explore different timeframes and weighting schemes.
- Consider incorporating additional technical indicators or filters to refine the entry and exit signals.
- Backtesting with different parameters and market conditions is crucial for evaluating the strategy's robustness.
