Donchian Cloud-V1The Donchian Cloud-V1 is a technical analysis indicator inspired by the Ichimoku Cloud, but with a twist. It utilizes two Donchian Channel midline calculations to create a cloud-like price zone. This indicator aims to help traders identify potential areas of support and resistance, and also suggests that trades should be avoided when prices are within the cloud.
How it Works?
The Donchian Cloud-V1 calculates two Donchian Channel midlines:
Fast Donchian Channel: This midline is based on a shorter period, making it more responsive to price changes.
Slow Donchian Channel: This midline is based on a longer period, providing a smoother and more stable cloud formation.
The upper and lower bands of the traditional Donchian Channels are discarded, and the midlines become the cloud's upper and lower boundaries.
Interpretation
Price Above the Cloud: A price move above the cloud can be interpreted as a bullish signal, suggesting potential upward momentum.
Price Below the Cloud: A price move below the cloud can be interpreted as a bearish signal, suggesting potential downward momentum.
Price Within the Cloud: The indicator advises against taking any trades when the price is within the cloud itself, as the market may be unclear or ranging.
Benefits of Using the Donchian Cloud-V1
Visually Appealing: The cloud can provide a clear and concise view of potential support and resistance zones.
Customizable: The lengths of the fast and slow Donchian Channels can be adjusted to suit your trading style and preferred timeframe.
Complements Other Indicators: The Donchian Cloud-V1 can be used in conjunction with other technical indicators to strengthen trade signals.
Limitations to Consider
Lagging Indicator: Like many technical indicators, the Donchian Cloud-V1 is based on past price data and may not always perfectly predict future price movements.
False Signals: The cloud can generate false signals, especially in volatile markets.
Not a Standalone Strategy: The Donchian Cloud-V1 should ideally be used alongside other trading strategies and risk management techniques.
The Donchian Cloud-V1 is a valuable tool for traders who want to identify potential support and resistance zones and avoid making trades during periods of market uncertainty. Remember, it's important to backtest and paper trade any indicator before using it with real capital.
Indicateurs et stratégies
Trend Analysis with Volatility and MomentumVolatility and Momentum Trend Analyzer
The Volatility and Momentum Trend Analyzer is a multi-faceted TradingView indicator designed to provide a comprehensive analysis of market trends, volatility, and momentum. It incorporates key features to identify trend direction (uptrend, downtrend, or sideways), visualize weekly support and resistance levels, and offer a detailed assessment of market strength and activity. Below is a breakdown of its functionality:
1. Input Parameters
The indicator provides customizable settings for precision and adaptability:
Volatility Lookback Period: Configurable period (default: 14) for calculating Average True Range (ATR), which measures market volatility.
Momentum Lookback Period: Configurable period (default: 14) for calculating the Rate of Change (ROC), which measures the speed and strength of price movements.
Support/Resistance Lookback Period: Configurable period (default: 7 weeks) to determine critical support and resistance levels based on weekly high and low prices.
2. Volatility Analysis (ATR)
The Average True Range (ATR) is calculated to quantify the market's volatility:
What It Does: ATR measures the average range of price movement over the specified lookback period.
Visualization: Plotted as a purple line in a separate panel below the price chart, with values amplified (multiplied by 10) for better visibility.
3. Momentum Analysis (ROC)
The Rate of Change (ROC) evaluates the momentum of price movements:
What It Does: ROC calculates the percentage change in closing prices over the specified lookback period, indicating the strength and direction of market moves.
Visualization: Plotted as a yellow line in a separate panel below the price chart, with values amplified (multiplied by 10) for better visibility.
4. Trend Detection
The indicator identifies the current market trend based on momentum and the position of the price relative to its moving average:
Uptrend: Occurs when momentum is positive, and the closing price is above the simple moving average (SMA) of the specified lookback period.
Downtrend: Occurs when momentum is negative, and the closing price is below the SMA.
Sideways Trend: Occurs when neither of the above conditions is met.
Visualization: The background of the price chart changes color to reflect the detected trend:
Green: Uptrend.
Red: Downtrend.
Gray: Sideways trend.
5. Weekly Support and Resistance
Critical levels are calculated based on weekly high and low prices:
Support: The lowest price observed over the last specified number of weeks.
Resistance: The highest price observed over the last specified number of weeks.
Visualization:
Blue Line: Indicates the support level.
Orange Line: Indicates the resistance level.
Both lines are displayed on the main price chart, dynamically updating as new data becomes available.
6. Alerts
The indicator provides configurable alerts for trend changes, helping traders stay informed without constant monitoring:
Uptrend Alert: Notifies when the market enters an uptrend.
Downtrend Alert: Notifies when the market enters a downtrend.
Sideways Alert: Notifies when the market moves sideways.
7. Key Use Cases
Trend Following: Identify and follow the dominant trend to capitalize on sustained price movements.
Volatility Assessment: Measure market activity to determine potential breakouts or quiet consolidation phases.
Support and Resistance: Highlight key levels where price is likely to react, assisting in decision-making for entries, exits, or stop-loss placement.
Momentum Tracking: Gauge the strength and speed of price moves to validate trends or anticipate reversals.
8. Visualization Summary
Main Chart:
Background color-coded for trend direction (green, red, gray).
Blue and orange lines for weekly support and resistance.
Lower Panels:
Purple line for volatility (ATR).
Yellow line for momentum (ROC).
Adaptive Fractal Grid Scalping StrategyThis Pine Script v6 component implements an "Adaptive Fractal Grid Scalping Strategy" with an added volatility threshold feature.
Here's how it works:
Fractal Break Detection: Uses ta.pivothigh and ta.pivotlow to identify local highs and lows.
Volatility Clustering: Measures volatility using the Average True Range (ATR).
Adaptive Grid Levels: Dynamically adjusts grid levels based on ATR and user-defined multipliers.
Directional Bias Filter: Uses a Simple Moving Average (SMA) to determine trend direction.
Volatility Threshold: Introduces a new input to specify a minimum ATR value required to activate the strategy.
Trade Execution Logic: Places limit orders at grid levels based on trend direction and fractal levels, but only when ATR exceeds the volatility threshold.
Profit-Taking and Stop-Loss: Implements profit-taking at grid levels and a trailing stop-loss based on ATR.
How to Use
Inputs: Customize the ATR length, SMA length, grid multipliers, trailing stop multiplier, and volatility threshold through the input settings.
Visuals: The script plots fractal points and grid levels on the chart for easy visualization.
Trade Signals: The strategy automatically places buy/sell orders based on the detected fractals, trend direction, and volatility threshold.
Profit and Risk Management: The script includes logic for taking profits and setting stop-loss levels to manage trades effectively.
This strategy is designed to capitalize on micro-movements during high volatility and avoid overtrading during low-volatility trends. Adjust the input parameters to suit your trading style and market conditions.
pslibs_revisedLibrary "pslibs_revised"
f_calculate_divergence_on_close(close, mom, rsi, start_lookback, max_lookback, rsiThresholdBuy, rsiThresholdSell, minAngleDiff, run_flag)
Parameters:
close (float)
mom (float)
rsi (float)
start_lookback (int)
max_lookback (int)
rsiThresholdBuy (float)
rsiThresholdSell (float)
minAngleDiff (float)
run_flag (bool)
f_calculate_divergence_on_low(low, mom, rsi, start_lookback, max_lookback, rsiThresholdBuy, rsiThresholdSell, minAngleDiff, run_flag)
Parameters:
low (float)
mom (float)
rsi (float)
start_lookback (int)
max_lookback (int)
rsiThresholdBuy (float)
rsiThresholdSell (float)
minAngleDiff (float)
run_flag (bool)
f_calculate_reversal(close, low, high, macdFastPeriod, macdSlowPeriod, macdSignalPeriod, stochPeriod, prcKPeriod, stochOS, stochOB, run_flag)
Parameters:
close (float)
low (float)
high (float)
macdFastPeriod (simple int)
macdSlowPeriod (simple int)
macdSignalPeriod (simple int)
stochPeriod (int)
prcKPeriod (int)
stochOS (int)
stochOB (int)
run_flag (bool)
is_within_first_30_minutes()
is_last_60_minutes()
is_last_30_minutes()
func_yestday_was_postive_trend()
Martingale8MARTINGALE8 Indicator: Comprehensive User Guide
Welcome to the MARTINGALE8 Indicator, your ultimate tool for implementing a customizable martingale trading strategy directly on TradingView! Whether you're a beginner trader or an experienced strategist, this indicator offers flexibility and clarity, empowering you to trade with confidence. Let’s dive into how you can make the most of it!
What Is the Martingale Principle?
The martingale strategy is a betting technique often used in gambling and trading. The idea is simple: double down on losing positions so that when a trade eventually succeeds, the profits will recover all previous losses and yield a small profit. In trading, this translates to placing incrementally larger buy orders as the price moves against your initial position, assuming the price will eventually reverse in your favor.
The martingale principle works under the asumption of mean reversion —that the price will eventually recover to a point where all accumulated losses are recouped, and a profit is made. By increasing order sizes at lower levels, the average entry price moves closer to the current price, reducing the price move required to reach profitability. However, like any strategy, it carries risks — if the price continues to move against your position without reversing, losses can escalate quickly .
What Does MARTINGALE8 Do?
The MARTINGALE8 Indicator is an open source script designed to:
Calculate multiple price levels (buy and take-profit) using a martingale strategy.
Allow full customization of entry size, order deviation, profit targets, and order multipliers.
Visualize key trading levels directly on the chart for better decision-making.
Provide helpful labels with real-time metrics like total cost, range analysis, and high-volume bar prices.
This indicator is ideal for traders looking to automate and refine their martingale-based trading approaches.
Features
1. Customizable Inputs
You have complete control over key parameters:
Start Price: Set a custom starting price, or let it default to the market price.
Entry Size: Choose your initial trade size (default: equivalent to 7.5 USDT).
Order Multiplier: Adjust the size of each subsequent order in the martingale sequence.
Order Deviation: Define the percentage deviation for each buy level.
Profit Deviation: Determine the target percentage deviation for take-profit levels.
Length: Specify the lookback period for market analysis (default: 84 bars).
2. Market Analysis
The script calculates key metrics, including:
Highest Volume Bar (HVB): Identifies the bar with the highest trading volume in the selected period.
Range Analysis: Computes the high-to-low range percentage to help you understand market volatility.
3. Martingale Levels
Automatically generates :
10 Buy Levels: Strategically placed below the starting price.
Take-Profit Level: A target above the starting price based on the profit deviation.
4. Cost Calculation
The script calculates the total cost of all orders, including a 10% buffer for safety, so you can plan your capital allocation effectively.
5. Visual Elements
The indicator draws clean and intuitive lines for:
Take-Profit Level: Highlighted in fuchsia.
Buy Levels: Clearly marked with aqua lines.
Zero Line: Your base price, shown in white.
Additional labels provide:
A summary of key metrics like total cost, entry price, and range.
Precise price values for the take-profit and lowest buy levels.
How to Use MARTINGALE8
Step 1: Add the Indicator to Your Chart
Click on the “Indicators” tab in TradingView.
Search for “MARTINGALE8” and add it to your chart.
Step 2: Configure the Inputs
Navigate to the Settings menu of the indicator and adjust the following parameters:
Start Price : Set your starting price or leave it as 0 to use the current market price.
Entry Size : Define the size of your initial trade (e.g., 7.5 USDT).
Order Multiplier : Choose how much larger each subsequent order should be.
Order Deviation : Specify the percentage distance between buy levels.
Profit Deviation : Set your desired percentage for the take-profit level.
Length : Adjust the number of bars to analyze for high volume.
Step 3: Visualize the Levels
The indicator will plot:
A white line for the base price.
Aqua lines for the buy levels.
A fuchsia line for the take-profit level.
Step 4: Monitor the Labels
Look for the summary label on the chart, which shows:
Total cost of the martingale orders.
Entry price and key market metrics (range, high-volume bar price).
Tips for Optimal Use
Adjust Inputs to Match Market Conditions : Experiment with order and profit deviations to account for volatile or steady markets.
Manage Risk : Use the cost calculation feature to ensure you allocate capital responsibly.
Technical Details
The script is written in Pine Script v6 and uses:
Switch Statements : For flexible default values.
Line Objects : To draw and update key price levels dynamically.
Labels : To display relevant trading metrics.
I’m glad to share this tool with the TradingView community. If you enjoy using MARTINGALE8, please keep it going and share your feedback. Let’s trade smarter, not harder!
Daily Session DividerThis script draws vertical lines showing the new daily sessions. These will only be displayed when it's on an intraday timeframe (lower than daily timeframe).
Settings:
Line Color: Choose the color you want and change the opacity
Line Width: If you want a thicc line. Defaults to 1 (recommended setting)
Line Style: Choose between solid (default), dashed, or dotted
HTF CandlestickHTF Candlestick
This indicator that visualizes a specific candle from a user-defined timeframe (1D, 1H, etc.) and its associated properties on the chart. Below is a detailed explanation:
1 - Inputs and Initialization:
timeframeInput: Allows the user to select the desired timeframe (e.g., daily).
pos: Adjusts the horizontal position of the drawn candle on the chart.
2 - Custom Data Type (type bar):
The bar type stores data for the open, high, low, and close (OHLC) values, as well as the start time of the candle.
It also includes graphical elements like body, wick, and start lines.
3 - Logic:
A variable b is initialized to represent the custom candle.
The script checks for changes in the selected timeframe and creates a new bar when the timeframe changes.
4 - Methods:
update(): Updates the OHLC values of the bar if a new high or low occurs.
display(): Draws the candle on the chart, including:
The candle body.
The wick (shadow).
Labels showing the open, high, and low values.
Horizontal and vertical dotted lines for visual aid.
5 - Candle Redrawing:
The script clears all graphical elements (lines, labels, boxes) for the current candle on the last bar of the chart (barstate.islast) and redraws them using the display() method.
6 - Table Display:
A small table is displayed at the right-hand side of the chart showing:
The selected timeframe.
The opening value of the candle.
The difference between the close and open prices, highlighted with the appropriate color.
Kod Açıklaması
Bu Pine Script, kullanıcı tarafından seçilen bir zaman dilimine (1D, 1H vb.) ait bir mum çubuğunu ve onun özelliklerini grafik üzerinde görselleştiren özel bir indikatördür. İşte detaylı açıklaması:
1- Girdiler ve Başlangıç:
timeframeInput: Kullanıcının istediği zaman dilimini seçmesine olanak tanır (ör. günlük).
pos: Çizilen mumun grafikte yatay pozisyonunu ayarlamak için kullanılır.
2 - Özel Veri Tipi (type bar):
bar türü, açılış, yüksek, düşük ve kapanış (OHLC) değerlerini ve mumun başlangıç zamanını saklar.
Ayrıca, grafik öğeleri için body, wick ve start gibi alanlar içerir.
3- Mantık:
b değişkeni, seçilen mum çubuğunu temsil etmek için tanımlanmıştır.
Seçilen zaman diliminde bir değişiklik olup olmadığını kontrol eder ve değişiklik olduğunda yeni bir bar oluşturur.
4 - Metotlar:
update(): Daha yüksek bir zirve veya daha düşük bir dip meydana gelirse, mumun OHLC değerlerini günceller.
display(): Grafik üzerinde mum çubuğunu çizer. Bu işlem şunları içerir:
Mum gövdesi.
Fitil (gölge).
Açılış, yüksek ve düşük değerlerini gösteren etiketler.
Görsel yardım için yatay ve dikey kesik çizgiler.
5- Mum Yeniden Çizimi:
Grafik üzerindeki tüm grafiksel elemanları (çizgiler, etiketler, kutular) temizler ve mevcut mumun son çubuğunda (barstate.islast) bunları yeniden çizer.
6 - Tablo Görüntüsü:
Grafik üzerinde sağ tarafta küçük bir tablo gösterilir. Bu tabloda:
Seçilen zaman dilimi.
Mumun açılış değeri.
Kapanış ve açılış fiyatları arasındaki fark, uygun renkte vurgulanarak gösterilir.
Bu kod, kullanıcıya belirli bir zaman dilimindeki mum çubuğunun görsel bir analizini ve temel bilgilerini sağlar.
Dynamic Ticks Oscillator Model (DTOM)The Dynamic Ticks Oscillator Model (DTOM) is a systematic trading approach grounded in momentum and volatility analysis, designed to exploit behavioral inefficiencies in the equity markets. It focuses on the NYSE Down Ticks, a metric reflecting the cumulative number of stocks trading at a lower price than their previous trade. As a proxy for market sentiment and selling pressure, this indicator is particularly useful in identifying shifts in investor behavior during periods of heightened uncertainty or volatility (Jegadeesh & Titman, 1993).
Theoretical Basis
The DTOM builds on established principles of momentum and mean reversion in financial markets. Momentum strategies, which seek to capitalize on the persistence of price trends, have been shown to deliver significant returns in various asset classes (Carhart, 1997). However, these strategies are also susceptible to periods of drawdown due to sudden reversals. By incorporating volatility as a dynamic component, DTOM adapts to changing market conditions, addressing one of the primary challenges of traditional momentum models (Barroso & Santa-Clara, 2015).
Sentiment and Volatility as Core Drivers
The NYSE Down Ticks serve as a proxy for short-term negative sentiment. Sudden increases in Down Ticks often signal panic-driven selling, creating potential opportunities for mean reversion. Behavioral finance studies suggest that investor overreaction to negative news can lead to temporary mispricings, which systematic strategies can exploit (De Bondt & Thaler, 1985). By incorporating a rate-of-change (ROC) oscillator into the model, DTOM tracks the momentum of Down Ticks over a specified lookback period, identifying periods of extreme sentiment.
In addition, the strategy dynamically adjusts entry and exit thresholds based on recent volatility. Research indicates that incorporating volatility into momentum strategies can enhance risk-adjusted returns by improving adaptability to market conditions (Moskowitz, Ooi, & Pedersen, 2012). DTOM uses standard deviations of the ROC as a measure of volatility, allowing thresholds to contract during calm markets and expand during turbulent ones. This approach helps mitigate false signals and aligns with findings that volatility scaling can improve strategy robustness (Barroso & Santa-Clara, 2015).
Practical Implications
The DTOM framework is particularly well-suited for systematic traders seeking to exploit behavioral inefficiencies while maintaining adaptability to varying market environments. By leveraging sentiment metrics such as the NYSE Down Ticks and combining them with a volatility-adjusted momentum oscillator, the strategy addresses key limitations of traditional trend-following models, such as their lagging nature and susceptibility to reversals in volatile conditions.
References
• Barroso, P., & Santa-Clara, P. (2015). Momentum Has Its Moments. Journal of Financial Economics, 116(1), 111–120.
• Carhart, M. M. (1997). On Persistence in Mutual Fund Performance. The Journal of Finance, 52(1), 57–82.
• De Bondt, W. F., & Thaler, R. (1985). Does the Stock Market Overreact? The Journal of Finance, 40(3), 793–805.
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65–91.
• Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). Time Series Momentum. Journal of Financial Economics, 104(2), 228–250.
Smart VolumeThis script introduces a unique approach to volume analysis by combining three critical components that work together to identify institutional activity:
1. Adaptive Volume Analysis
- Automatically calculates significant volume thresholds specific to each stock (current bar volume compared to the average of previous 6 bars)
- Unlike standard indicators using fixed multipliers (like 2x average volume), this adapts to each stock's unique trading characteristics
- Example: A 2x volume spike might be significant for AAPL but irrelevant for a volatile small-cap
2. Volume Contraction Pattern (VCP) Detection
- Identifies periods of decreasing volume with precise criteria:
• Requires 6+ consecutive periods of declining volume
• Volume must compress by at least 20% from peak
• Price must remain within a defined channel
- Automatically detects completion of compression patterns
3. RVM (Relative Volatility Measure) Integration
- Measures current volatility against historical averages
- Identifies low-volatility periods that often precede major moves
- When combined with volume compression, signals higher probability setups
How Components Work Together:
- Volume spikes are evaluated against stock-specific thresholds
- VCP detection runs continuously to identify compression patterns
- RVM confirms volatility contraction aligned with volume compression
- When all three align, the indicator signals potential breakout entry
Usage:
1. Monitor volume bars for spikes above adaptive thresholds (bright green/red)|
2. Monitor average volume line turning from white to green indicating volume contraction (the brighter the green the more contraction happened)
2. Watch for green shading at the zero-line indicating volatility compression (RVM)
3. Use the statistics table for more insights
Original Features:
- First indicator to combine adaptive volume thresholds with VCP detection
- Implements stock-specific volume analysis instead of fixed multipliers
- Integrates volatility confirmation with volume patterns
- Provides real-time statistical analysis of compression patterns
Best suited for daily timeframes on liquid stocks where institutional activity is most visible.
Note: While patterns suggest potential moves, always confirm with price action before trading.
Video:
Monthly DividerThis Trading View indicator visually marks the beginning of each month starting from January 2024. It draws vertical lines on the chart at the start of each month and labels them with the corresponding month abbreviation (e.g., "Jan", "Feb"). Users can customize the color and thickness of the lines through the indicator settings, allowing for personalized chart aesthetics. This tool is ideal for traders and analysts who want to easily identify month transitions and enhance their technical analysis.
Whale Activity Impact OscillatorThe "Whale Activity Impact Oscillator" is a Pine Script v6 component designed to identify abnormal price movements caused by potential whale activity in the crypto market.
Here's how it works:
Inputs: The script allows users to configure the volume spike multiplier, price spike multiplier, lookback period, minimum volume threshold, and thresholds for strong buy and sell signals.
Data Calculations: It calculates the average volume and average percentage price change over the specified lookback period.
Whale Detection Logic: The script detects a volume spike if the current volume exceeds the average volume by the specified multiplier. It detects a price spike if the percentage price change exceeds the average by the specified multiplier.
Signals: A buy signal is generated when both a volume spike and a price increase are detected. A sell signal is generated when both a volume spike and a price decrease are detected.
Output: The oscillator is displayed as a histogram below the price chart. Green bars indicate buy signals, red bars indicate sell signals, and gray bars indicate normal activity. The height of the bars is proportional to the magnitude of the price change.
Alerts: The script includes alerts for whale buying and selling detected signals.
Edge Cases: The script avoids false signals in low-liquidity environments by setting a minimum volume threshold and filtering out signals during low market activity.
This component can be added to a TradingView chart to help traders identify potential whale activity and make informed trading decisions.
RSI/MACD Momentum ScalperThe RSI/MACD Momentum Scalper is a technical analysis tool designed to identify market momentum and provide actionable buy, sell, and take-profit signals by combining the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) indicators. This script uses a color-coded candle system to visually highlight trend strength and direction, making it particularly useful for scalpers and short-term traders who seek clarity and precision.
How It Works
This indicator operates on two core momentum principles: the RSI and MACD. Here's a breakdown of how it combines these components to deliver unique insights:
Relative Strength Index (RSI):
Measures the strength of price movements on a scale from 0 to 100.
A bullish trend is identified when the RSI is above 50, indicating upward momentum.
A bearish trend is identified when the RSI is below 50, signaling downward momentum.
Moving Average Convergence Divergence (MACD):
Compares two moving averages (Fast and Slow) of the price to measure trend momentum.
Generates a bullish signal when the MACD line is above the Signal line.
Generates a bearish signal when the MACD line is below the Signal line.
The indicator allows the user to select the type of moving average (EMA, DEMA, or HMA) for further customization.
Combined Momentum Analysis:
Green candles (strong bullish signal) : When both the RSI is above 50 and the MACD line is above the Signal line.
Red candles (bearish signal): When both the RSI is below 50 and the MACD line is below the Signal line.
Light grey candles (neutral signal): When only one of the conditions is true, indicating indecisiveness in market momentum.
Buy/Sell Signals:
Buy Signal: Triggered when the conditions for a bullish trend are newly met (both RSI > 50 and MACD > Signal line).
Sell Signal: Triggered when the conditions for a bearish trend are newly met (both RSI < 50 and MACD < Signal line).
Take-Profit Signals (Optional):
Highlights opportunities to exit a trade when a trend reverses:
Take-profit bullish: When a bullish trend ends.
Take-profit bearish: When a bearish trend ends.
How to Use the Indicator
Customization Options:
Trend Timeframe: Set a specific timeframe for trend analysis (e.g., 1h, 4h, 1D).
RSI Settings: Adjust the RSI length to match your trading strategy.
MACD Settings: Customize the Fast, Slow, and Signal lengths to suit market conditions.
Moving Average Type: Choose between EMA, DEMA, or HMA for the MACD calculation.
Colors: Select the colors for bullish, bearish, and neutral candles to match your preferences.
Signals and Visualization:
Enable or disable Buy/Sell Signals and Take-Profit Signals through the settings.
Use the color-coded candles to quickly assess trend direction and momentum strength:
Green: Strong upward momentum.
Red: Strong downward momentum.
Light Grey: Neutral or indecisive market.
The plotted buy (triangle up) and sell (triangle down) signals assist in identifying entry points, while take-profit (square) signals help secure gains during trend reversals.
What Makes It Unique
Integrated Approach: Combines two of the most widely-used momentum indicators (RSI and MACD) into a single tool, offering a clear, cohesive analysis of market trends.
Candle-Based Visualization: Changes the candle colors to reflect momentum, eliminating the need to constantly check separate indicator panels.
Customizability: Provides advanced options such as timeframe selection, MA type, and user-defined settings for RSI and MACD lengths, making it adaptable to different trading strategies.
Signal Precision: Goes beyond traditional RSI and MACD by offering precise buy, sell, and take-profit signals based on combined momentum logic.
Ease of Use: Tailored for both beginner and experienced traders by providing simple visual cues (candle colors and plot shapes) while retaining the depth of advanced settings.
The RSI/MACD Momentum Scalper is particularly beneficial for scalpers and intraday traders looking for a dynamic, easy-to-read tool that minimizes noise while focusing on high-probability trade opportunities.
Quarterly Divider The "Quarterly Divider" script draws vertical lines at the start of each quarter (January, April, July, October) on the Trading View chart. It also labels each line with the corresponding quarter (Q1, Q2, Q3, Q4) at the bottom of the line, making it easy to visualize the start of each trading quarter. The color and thickness of the lines are customizable
NB. works effectively is used on the weekly timeframe
Smart Money Breakout Signals [AlgoAlpha]Introducing the Smart Money Breakout Signals, a cutting-edge trading indicator designed to identify key structural shifts and breakout opportunities in the market. This tool leverages a blend of smart money concepts like Break of Structure (BOS) and Change of Character (CHoCH) to provide traders with actionable insights into market direction and potential entry or exit points.
Key Features :
✨ Market Structure Analysis : Automatically detects and labels BOS and CHoCH for trend confirmation and reversals.
🎨 Customizable Visualization : Tailor bullish and bearish colors for breakout lines and signals to suit your preferences.
📊 Dynamic Take-Profit Targets : Displays three tiered take-profit levels based on breakout volatility.
🔔 Real-Time Alerts : Stay ahead of the game with notifications for bullish and bearish breakouts.
📋 Performance Dashboard : Monitor signal statistics, including win rates and total signals, directly on your chart.
How to Use :
Add the Indicator : Add the script to your favourites ⭐ and customize settings like market structure horizon and confirmation type.
Monitor Breakouts : Observe BOS and CHoCH labels to identify potential trend shifts. Use the breakout lines and tiered take-profit levels to plan trades effectively.
Set Alerts : Enable alerts for bullish or bearish breakouts to act on opportunities without constant monitoring.
How It Works :
The indicator identifies market structure by analyzing pivot highs and lows over a user-defined time horizon. A breakout is confirmed based on either candle closes or wicks surpassing previous pivot points. Upon detection, the script generates signals with breakout lines and calculates take-profit targets based on the distance from the breakout level. A built-in dashboard tracks performance metrics like total signals and win rates, giving traders real-time feedback on strategy effectiveness.
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with TradingView Rules:
* The indicator is written in Pine Script version 5, adhering to TradingView’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
Fibonacci Extension Strt StrategyCore Logic and Steps:
Weekly Trend Identification:
Find the last significant Higher High (HH) and Lower Low (LL) or vice-versa on the Weekly timeframe.
Determine if it's an uptrend (HH followed by LL) or a downtrend (LL followed by HH).
Plot a Fibonacci Extension (or Retracement in reverse order) from the swing point determined to the other significant swing point.
Weekly Retracement Levels:
Display horizontal lines at the 0.236, 0.382, and 0.5 Fibonacci levels from the weekly extension.
Monitor price action on these levels.
Daily Confirmation:
When price hits the Fib levels, examine the Daily chart.
Look for a rejection wick (indicating the pull back is ending) on the identified weekly retracement levels.
Confirm that the price is indeed starting to continue in the direction of the original weekly trend.
Four-Hour Entry:
On the 4H timeframe, plot a new Fib Extension in the opposite direction of the weekly.
If it's an uptrend, the Fib is plotted from last swing low to its swing high. If the weekly trend was bearish the Fib will be plotted from last swing high to the swing low.
Generate an entry when price breaks the high of that candle.
Trade Management:
Entry is on the breakout of the current candle.
Stop Loss: Place the stop loss below the wick of the breakout candle.
Take Profit 1: Close 50% of the position at the 0.5 Fibonacci level. Move the stop loss to breakeven on this position.
Take Profit 2: Close another 25% of the position at the 0.236 Fib level.
Trailing Take Profit: Keep the last 25% open, using a trailing stop loss. (You'll need to define the logic for the trailing stop, e.g., trailing stop using the last high/low)
How to Use in TradingView:
Open a TradingView Chart.
Click on "Pine Editor" at the bottom.
Copy and paste the corrected Pine Script code.
Click "Add to Chart".
The indicator should now be displayed on your chart.
Enhanced Cumulative Volume Delta + MAThe Enhanced Cumulative Volume Delta (CVD) indicator is designed to help traders analyze the cumulative buying and selling pressure in the market by examining the delta between the up and down volume. By tracking this metric, traders can gain insights into the strength of a trend and potential reversals. This indicator uses advanced volume analysis combined with customizable moving averages to provide a more detailed view of market dynamics.
How to Use This Indicator:
Volume Delta Visualization:
The indicator plots the cumulative volume delta (CVD) using color-coded candles, where teal represents positive delta (buying pressure) and soft red represents negative delta (selling pressure).
Moving Averages:
Use the moving averages to smooth the CVD data and identify long-term trends. You can choose between SMA and EMA for each of the three available moving averages. The first and third moving averages are typically used for short-term and long-term trend analysis, respectively, while the second moving average can serve as a medium-term filter.
Arrow Markers:
The indicator will display arrows (green triangle up for crossing above, red triangle down for crossing below) when the CVD volume crosses the 3rd moving average. You can control the visibility of these arrows through the input parameters.
Volume Data:
The indicator provides error handling in case no volume data is available for the selected symbol, ensuring that you're not misled by incomplete data.
Practical Applications:
Trend Confirmation: Use the CVD and moving averages to confirm the overall trend direction and strength. Positive delta and a rising CVD can confirm an uptrend, while negative delta and a falling CVD indicate a downtrend.
Volume Breakouts: The arrows marking when the CVD crosses the 3rd moving average can help you spot potential volume breakouts or reversals, making them useful for entry or exit signals.
Volume Divergence: Pay attention to divergences between price and CVD, as these can often signal potential trend reversals or weakening momentum.
Multi-Timeframe Confluence IndicatorThe Multi-Timeframe Confluence Indicator strategically combines multiple timeframes with technical tools like EMA and RSI to provide robust, high-probability trading signals. This combination is grounded in the principles of technical analysis and market behavior, tailored for traders across all styles—whether intraday, swing, or positional.
1. The Power of Multi-Timeframe Confluence
Markets are influenced by participants operating on different time horizons:
• Intraday traders act on short-term price fluctuations.
• Swing traders focus on intermediate trends lasting days or weeks.
• Position traders aim to capture multi-month or long-term trends.
By aligning signals from a higher timeframe (macro trend) with a lower timeframe (micro trend), the indicator ensures that short-term entries are in harmony with the broader market direction. This multi-timeframe approach significantly reduces false signals caused by temporary market noise or counter-trend moves.
Example: A bullish trend on the daily chart (higher timeframe) combined with a bullish RSI and EMA alignment on the 15-minute chart (lower timeframe) provides a stronger confirmation than relying on the 15-minute chart alone.
2. Why EMA and RSI Are Essential
Each element of the indicator serves a unique role in ensuring accuracy and reliability:
• EMA (Exponential Moving Average):
• A dynamic trend filter that adjusts quickly to price changes.
• On the higher timeframe, it establishes the overall trend direction (e.g., bullish or bearish).
• On the lower timeframe, it identifies precise entry/exit zones within the trend.
• RSI (Relative Strength Index):
• Adds a momentum-based perspective, confirming whether a trend is backed by strong buying or selling pressure.
• Ensures that signals occur in areas of strength (RSI > 55 for bullish signals, RSI < 45 for bearish signals), filtering out weak or uncertain price movements.
By combining EMA (trend) and RSI (momentum), the indicator delivers confluence-based validation, where both trend and momentum align, making signals more reliable.
3. Cooldown Period for Signal Optimization
Trading in choppy or sideways markets often leads to overtrading and false signals. The cooldown period ensures that once a signal is generated, subsequent signals are suppressed for a defined number of bars. This prevents traders from entering low-probability trades during indecisive market phases, improving overall signal quality.
Example: After a bullish confluence signal, the cooldown period prevents a bearish signal from being triggered prematurely if the market enters a temporary retracement.
4. Use Cases Across Trading Styles
This indicator caters to various trading styles, each benefiting from the confluence of timeframes and technical elements:
• Intraday Trading:
• Use a 1-hour chart as the higher timeframe and a 5-minute chart as the lower timeframe.
• Benefit: Align intraday entries with the hourly trend for higher win rates.
• Swing Trading:
• Use a daily chart as the higher timeframe and a 1-hour chart as the lower timeframe.
• Benefit: Capture multi-day moves while avoiding counter-trend entries.
• Scalping:
• Use a 30-minute chart as the higher timeframe and a 1-minute chart as the lower timeframe.
• Benefit: Enhance scalping efficiency by ensuring short-term trades align with broader intraday trends.
• Position Trading:
• Use a weekly chart as the higher timeframe and a daily chart as the lower timeframe.
• Benefit: Time long-term entries more precisely, maximizing profit potential.
5. Robustness Through Customization
The indicator allows traders to customize:
• Timeframes for higher and lower analysis.
• EMA lengths for trend filtering.
• RSI settings for momentum confirmation.
• Cooldown periods to adapt to market volatility.
This flexibility ensures that the indicator can be tailored to suit individual trading preferences, market conditions, and asset classes, making it a comprehensive tool for any trading strategy.
Why This Mashup Stands Out
The Multi-Timeframe Confluence Indicator is more than a sum of its parts. It leverages:
• EMA’s ability to identify trends, combined with RSI’s insight into momentum, ensuring each signal is well-supported.
• A multi-timeframe perspective that incorporates both macro and micro trends, filtering out noise and improving reliability.
• A cooldown mechanism that prevents overtrading, a common pitfall for traders in volatile markets.
This integration results in a powerful, adaptable indicator that provides actionable, high-confidence signals, reducing uncertainty and enhancing trading performance across all styles.
Half-Trend Channel [BigBeluga]Half Trend Channel is a powerful trend-following indicator designed to identify trend direction, fakeouts, and potential reversal points. The combination of upper/lower bands, midline coloring, and specific signals makes it ideal for spotting trend continuation and market reversals.
The base of the channel is calculated using smoothed half-trend logic.
// Initialize half trend on the first bar
if barstate.isfirst
hl_t := close
// Update half trend value based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
// Smooth
float s_hlt = ta.hma(hl_t, len)
🔵 Key Features:
Upper and Lower Bands:
The bands adapt dynamically to market volatility.
Price movements toward the bands help identify areas of overextension and potential reversal points.
Midline Trend Signal:
The midline changes color to reflect the current trend:
Green Midline: Indicates an uptrend.
Purple Midline: Signals a downtrend.
Fakeout Signals ("X"):
"X" markers appear when price briefly breaches the outer bands but fails to sustain the move.
Fakeouts help traders identify areas where price momentum weakens.
Reversal Signals (Triangles):
Triangles (▲ and ▼) mark potential tops and bottoms:
▲ Up Triangles: Suggest a potential bottom and a reversal to the upside.
▼ Down Triangles: Indicate a potential top and a reversal to the downside.
Dynamic Trend Labels:
At the last bar, the indicator displays labels like "Trend Up" or "Trend Dn" , reflecting the current trend direction.
🔵 Usage:
Use the colored midline to determine the overall trend direction.
Monitor "X" fakeout signals to spot failed breakouts or momentum exhaustion near the bands.
Watch for reversal triangles (▲ and ▼) to identify potential trend reversals at tops or bottoms.
Combine the bands and midline signals to confirm trade entries and exits:
Enter long trades when price bounces off the lower band with a green midline.
Consider short trades when price reverses from the upper band with a purple midline.
Use the trend label (e.g., "Trend Up" or "Trend Dn") for quick confirmation of the current market state.
The Half Trend Channel is an essential tool for traders who want to follow trends, avoid fakeouts, and identify reliable tops and bottoms to optimize their trading decisions.
Uptrick Signal Density Cloud🟪 Introduction
The Uptrick Signal Density Cloud is designed to track market direction and highlight potential reversals or shifts in momentum. It plots two smoothed lines on the chart and fills the space between them (often called a “cloud”). The bars on the chart change color depending on bullish or bearish conditions, and small triangles appear when certain reversal criteria are met. A metrics table displays real-time values for easy reference.
🟩 Why These Features Have Been Linked Together
1) Dual-Line Structure
Two separate lines represent shorter- and longer-term market tendencies. Linking them in one tool allows traders to view both near-term changes and the broader directional bias in a single glance.
2) Smoothed Averages
The script offers multiple smoothing methods—exponential, simple, hull, and an optimized approach—to reduce noise. Using more than one type of moving average can help balance responsiveness with stability.
3) Density Cloud Concept
Shading the region between the two lines highlights the gap or “thickness.” A wider gap typically signals stronger momentum, while a narrower gap could indicate a weakening trend or potential market indecision. When the cloud is too wide and crosses a certain threshold defined by the user, it indicates a possible reversal. When the cloud is too narrow it may indicate a potential breakout.
🟪 Why Use This Indicator
• Trend Visibility: The color-coded lines and bars make it easier to distinguish bullish from bearish conditions.
• Momentum Tracking: Thicker cloud regions suggest stronger separation between the faster and slower lines, potentially indicating robust momentum.
• Possible Reversal Alerts: Small triangles appear within thick zones when the indicator detects a crossover, drawing attention to key moments of potential trend change.
• Quick Reference Table: A metrics table shows line values, bullish or bearish status, and cloud thickness without needing to hover over chart elements.
🟩 Inputs
1) First Smoothing Length (length1)
Default: 14
Defines the lookback period for the faster line. Lower values make the line respond more quickly to price changes.
2) Second Smoothing Length (length2)
Default: 28
Defines the lookback period for the slower line or one of the moving averages in optimized mode. It generally responds more slowly than the faster line.
3) Extra Smoothing Length (extraLength)
Default: 50
A medium-term period commonly seen in technical analysis. In optimized mode, it helps add broader perspective to the combined lines.
4) Source (source)
Default: close
Specifies the price data (for example, open, high, low, or a custom source) used in the calculations.
5) Cloud Type (cloudType)
Options: Optimized, EMA, SMA, HMA
Determines the smoothing method used for the lines. “Optimized” blends multiple exponential averages at different lengths.
6) Cloud Thickness Threshold (thicknessThreshold)
Default: 0.5
Sets the minimum separation between the two lines to qualify as a “thick” zone, indicating potentially stronger momentum.
🟪 Core Components
1) Faster and Slower Lines
Each line is smoothed according to user preferences or the optimized technique. The faster line typically reacts more quickly, while the slower line provides a broader overview.
2) Filled Density Cloud
The space between the two lines is filled to visualize in which direction the market is trending.
3) Color-Coded Bars
Price bars adopt bullish or bearish colors based on which line is on top, providing an immediate sense of trend direction.
4) Reversal Triangles
When the cloud is thick (exceeding the threshold) and the lines cross in the opposite direction, small triangles appear, signaling a possible market shift.
5) Metrics Table
A compact table shows the current values of both lines, their bullish/bearish statuses, the cloud thickness, and whether the cloud is in a “reversal zone.”
🟩 Calculation Process
1) Raw Averages
Depending on the mode, standard exponential, simple, hull, or “optimized” exponential blends are calculated.
2) Optimized Averages (if selected)
The faster line is the average of three exponential moving averages using length1, length2, and extraLength.
The slower line similarly uses those same lengths multiplied by 1.5, then averages them together for broader smoothing.
3) Difference and Threshold
The absolute gap between the two lines is measured. When it exceeds thicknessThreshold, the cloud is considered thick.
4) Bullish or Bearish Determination
If sma1 (the faster line) is above sma2 (the slower line), conditions are deemed bullish; otherwise, they are bearish. This distinction is reflected in both bar colors and cloud shading.
5) Reversal Markers
In thick zones, a crossover triggers a triangle at the point of potential reversal, alerting traders to a possible trend change.
🟪 Smoothing Methods
1) Exponential (EMA)
Prioritizes recent data for quicker responsiveness.
2) Simple (SMA)
Takes a straightforward average of the chosen period, smoothing price action but often lagging more in volatile markets.
3) Hull (HMA)
Employs a specialized formula to reduce lag while maintaining smoothness.
4) Optimized (Blended Exponential)
Combines multiple EMA calculations to strike a balance between responsiveness and noise reduction.
🟩 Cloud Logic and Reversal Zones
Cloud thickness above the defined threshold typically signals exceeding momentum and can lead to a quick reversal. During these thick periods, if the width exceeds the defined threshold, small triangles mark potential reversal points. In order for the reversal shape to show, the color of the cloud has to be the opposite. So, for example, if the cloud is bearish, and exceeds momentum, defined by the user, a bullish signal appears. The opposite conditions for a bullish signal. This approach can help traders focus on notable changes rather than minor oscillations.
🟪 Bar Coloring and Layered Lines
Bars take on bullish or bearish tints, matching the faster line’s position relative to the slower line. The lines themselves are plotted multiple times with varying opacities, creating a layered, glowing look that enhances visibility without affecting calculations.
🟩 The Metrics Table
Located in the top-right corner of the chart, this table displays:
• SMA1 and SMA2 current values.
• Bullish or bearish alignment for each line.
• Cloud thickness.
• Reversal zone status (in or out of zone).
This numeric readout allows for a quick data check without hovering over the chart.
🟪 Why These Specific Moving Average Lengths Are Used
Default lengths of 14, 28, and 50 are common in technical analysis. Fourteen captures near-term price movement without overreacting. Twenty-eight, roughly double 14, provides a moderate smoothing level. Fifty is widely regarded as a medium-term benchmark. Multiplying each length by 1.5 for the slower line enhances separation when combined with the faster line.
🟩 Originality and Usefulness
• Multi-Layered Smoothing. The user can select from several moving average modes, including a unique “optimized” blend, possibly reducing random fluctuations in the market data.
• Combined Visual and Numeric Clarity. Bars, clouds, and a real-time table merge into a single interface, enabling efficient trend analysis.
• Focus on Significant Shifts. Thick cloud zones and triangles draw attention to potentially stronger momentum changes and plausible reversals.
• Flexible Across Markets. The adjustable lengths and threshold can be tuned to different asset classes (stocks, forex, commodities, crypto) and timeframes.
By integrating multiple technical concepts—cloud-based trend detection, color coding, reversal markers, and an immediate reference table—the Uptrick Signal Density Cloud aims to streamline chart reading and decision-making.
🟪 Additional Considerations
• Timeframes. Intraday, daily, and weekly charts each yield different signals. Adjust the smoothing lengths and threshold to suit specific trading horizons.
• Market Types. Though applicable across asset classes, parameters might need tweaking to address the volatility of commodities, forex pairs, or cryptocurrencies.
• Confirmation Tools. Pairing this indicator with volume studies or support/resistance analysis can improve the reliability of signals.
• Potential Limitations. No indicator is foolproof; sudden market shifts or choppy conditions may reduce accuracy. Cautious position sizing and risk management remain essential.
🟩 Disclaimers
The Uptrick Signal Density Cloud relies on historical price data and may lag sudden moves or provide false positives in ranging conditions. Always combine it with other analytical techniques and sound risk management. This script is offered for educational purposes only and should not be considered financial advice.
🟪 Conclusion
The Uptrick Signal Density Cloud blends trend identification, momentum assessment, and potential reversal alerts in a single, user-friendly tool. With customizable smoothing methods and a focus on cloud thickness, it visually highlights important market conditions. While it cannot guarantee predictive accuracy, it can serve as a comprehensive reference for traders seeking both a quick snapshot of the current trend and deeper insights into market dynamics.
Order Block plusIndicator Description: “Order Block Plus”
This indicator is designed for traders who aim to identify the strength and position of supply and demand zones on the chart and receive key signals for entry or exit. Below is a detailed explanation of its functionality:
Features and Applications:
1. Identifying Supply and Demand Zones:
• Supply (Resistance) and Demand (Support) zones are visually displayed on the chart.
• Each zone is marked with a specific color (Yellow for supply, Blue for demand) for easy identification.
2. Breakout and Reversal Signals:
• The indicator detects Breakout and Reversal patterns and highlights them with alerts.
• Example: Detecting price breaking above or below key levels.
3. Candlestick Pattern Support:
• Identifies powerful patterns such as Bullish Engulf, Bearish Engulf, Three White Soldiers, and Three Black Crows.
4. Displaying Zone Strength:
• The indicator shows the strength of supply and demand zones using text displayed inside each zone.
5. Alerts:
• Provides alerts for zone breakouts, breakdowns, and new zone formations.
• Example: Alerts for breaking a demand or supply zone.
How to Use:
1. Adding to the Chart:
• The indicator can be applied to any time frame and is suitable for Forex, stocks, or cryptocurrency charts.
2. Identifying Trading Opportunities:
• Demand zones indicate strong support levels where prices are likely to rise.
• Supply zones indicate resistance levels where prices are likely to fall.
3. Examining Zone Strength:
• The strength of each zone is displayed with text inside the zone.
Indicator Settings:
• Zone Colors:
• The default colors for supply and demand zones are yellow and blue, but they can be customized.
• Alerts:
• Configurable alerts for breakouts or reversals.
Advantages:
• Automatic detection of key price levels.
• Accurate and timely alerts for trades.
• Customizable for professional traders.
Note: This indicator is designed for technical analysis and should be used alongside a suitable trading strategy.
BEP BOLLINGER with Entry & TargetBEP BOLLINGER with Entry & Target Indicator
INPUT
ITM CE
ITM PE
ATM CE
ATM PE
This custom Pine Script indicator provides traders with a powerful tool to analyze options trading setups, specifically for Call and Put options (CE & PE). By integrating Bollinger Bands with a set of configurable parameters, it calculates key entry, stop loss, and take profit levels, while factoring in risk and reward for each trade. Ideal for options traders, this indicator supports precise risk management and enhances your ability to plan and execute trades based on calculated entry points and profit targets.
Key Features:
CE & PE Symbol Selection: Allows users to input two pairs of Call and Put option symbols for premium calculation.
Premium Calculation: Automatically calculates and plots the average premium for each pair of options.
Risk & Reward Zones: Visualizes risk zones and reward zones based on user-defined entry price, stop loss, and risk/reward ratio.
Leverage and Stop Loss Calculation: Computes the optimal leverage and adjusts stop loss based on acceptable loss percentage.
Break-Even Point: Identifies the break-even point considering trading fees and leverage.
Take Profit Levels: Calculates and visualizes multiple take profit levels with different risk/reward ratios.
Multi-Timeframe Analysis: Incorporates higher timeframe analysis to determine entry and stop loss levels for better decision-making.
Dynamic Alerts: Provides alerts when the price hits the stop loss, take profit levels, or reaches the break-even point.
Visual Tools: Draws lines and shaded areas for entry, stop loss, take profit, and risk/reward zones to aid in visual decision-making.
Customizable Settings:
Risk Management: Adjust stop loss, leverage, and risk/reward ratios to suit your trading strategy.
Trading Direction: Choose between Long or Short positions based on market outlook.
Fee Calculations: Input your buy and sell fees to accurately calculate break-even and profit zones.
Color Customization: Personalize the color of premium lines, offset levels, and risk/reward zones.
Alerts:
Alerts can be set for Stop Loss, Take Profit, and Break-Even, ensuring you're notified in real-time when important price levels are reached.
This tool is perfect for traders looking to integrate risk management and precise trade setup analysis into their options trading strategy.
Display MB on BarsDescription
The "Display MB on Bars" Pine Script indicator is designed to visually represent Market Breadth values and R4.5 scores on trading charts. This script enables traders to highlight and analyze key market behavior using pre-defined thresholds for MB scores and dynamically calculated R4.5 values. Additionally, it includes a moving average status table to assess price levels relative to the 10-day and 20-day moving averages.
Features:
1. COB Date Matching: Displays data corresponding to specific "COB dates" provided by the user.
2. MB Value Visualization:
o Highlights bars with a background color based on MB values:
Red if MB ≤ MB_Red (default: -1).
Green if MB ≥ MB_Green (default: 3).
3. R4.5 Scores Display:
o Creates a label on the chart with the MB and R4.5 values when conditions are met (e.g., R4.5 > 200 or specific MB thresholds).
4. Index Moving Average Comparison:
o Calculates 10-day and 20-day moving averages for the selected symbol (default: NSE:NIFTYMIDSML400).
o Shows the price position relative to these moving averages in a table.
How to Use:
1. Configure Inputs:
o COB Dates: Enter a comma-separated list of dates in the format DD-MM-YYYY.
o MB Values: Provide the corresponding MB scores for the COB dates.
o R4.5 Values: Provide the R4.5 scores for the COB dates.
o Set the thresholds for MB values (MB Red<= and MB Green>=).
o Toggle features like MB, RS (R4.5), and the moving average status table.
2. Interpret the Output:
o Observe background colors on the bars:
Red: Indicates MB is less than or equal to the lower threshold.
Green: Indicates MB exceeds the upper threshold.
o Check labels above bars for R4.5 and MB values when conditions are met.
o Refer to the status table on the top-right corner to understand price positions relative to 10-day and 20-day moving averages.
This script is especially useful for traders seeking insights into custom metrics like MB and R4.5, enabling quick identification of key patterns and trends in the market.
