BullBear with Volume-Percentile TP - Strategy [presentTrading] Happy New Year, everyone! I hope we have a fantastic year ahead.
It's been a while since I published an open script, but it's time to return.
This strategy introduces an indicator called Bull Bear Power, combined with an advanced take-profit system, which is the main innovative and educational aspect of this script. I hope all of you find some useful insights here. Welcome to engage in meaningful exchanges. This is a versatile tool suitable for both novice and experienced traders.
█ Introduction and How it is Different
Unlike traditional strategies that rely solely on price or volume indicators, this approach combines Bull Bear Power (BBP) with volume percentile analysis to identify optimal entry and exit points. It features a dynamic take-profit mechanism based on ATR (Average True Range) multipliers adjusted by volume and percentile factors, ensuring adaptability to diverse market conditions. This multifaceted strategy not only improves signal accuracy but also optimizes risk management, distinguishing it from conventional trading methods.
BTCUSD 6hr performance
Disable the visualization of Bull Bear Power (BBP) to clearly view the Z-Score.
█ Strategy, How it Works: Detailed Explanation
The BBP Strategy with Volume-Percentile TP utilizes several interconnected components to analyze market data and generate trading signals. Here's an overview with essential equations:
🔶 Core Indicators and Calculations
1. Exponential Moving Average (EMA):
- **Purpose:** Smoothens price data to identify trends.
- **Formula:**
EMA_t = (Close_t * (2 / (lengthInput + 1))) + (EMA_(t-1) * (1 - (2 / (lengthInput + 1))))
- Usage: Baseline for Bull and Bear Power.
2. Bull and Bear Power:
- Bull Power: `BullPower = High_t - EMA_t`
- Bear Power: `BearPower = Low_t - EMA_t`
- BBP:** `BBP = BullPower + BearPower`
- Interpretation: Positive BBP indicates bullish strength, negative indicates bearish.
3. Z-Score Calculation:
- Purpose: Normalizes BBP to assess deviation from the mean.
- Formula:
Z-Score = (BBP_t - bbp_mean) / bbp_std
- Components:
- `bbp_mean` = SMA of BBP over `zLength` periods.
- `bbp_std` = Standard deviation of BBP over `zLength` periods.
- Usage: Identifies overbought or oversold conditions based on thresholds.
🔶 Volume Analysis
1. Volume Moving Average (`vol_sma`):
vol_sma = (Volume_1 + Volume_2 + ... + Volume_vol_period) / vol_period
2. Volume Multiplier (`vol_mult`):
vol_mult = Current Volume / vol_sma
- Thresholds:
- High Volume: `vol_mult > 2.0`
- Medium Volume: `1.5 < vol_mult ≤ 2.0`
- Low Volume: `1.0 < vol_mult ≤ 1.5`
🔶 Percentile Analysis
1. Percentile Calculation (`calcPercentile`):
Percentile = (Number of values ≤ Current Value / perc_period) * 100
2. Thresholds:
- High Percentile: >90%
- Medium Percentile: >80%
- Low Percentile: >70%
🔶 Dynamic Take-Profit Mechanism
1. ATR-Based Targets:
TP1 Price = Entry Price ± (ATR * atrMult1 * TP_Factor)
TP2 Price = Entry Price ± (ATR * atrMult2 * TP_Factor)
TP3 Price = Entry Price ± (ATR * atrMult3 * TP_Factor)
- ATR Calculation:
ATR_t = (True Range_1 + True Range_2 + ... + True Range_baseAtrLength) / baseAtrLength
2. Adjustment Factors:
TP_Factor = (vol_score + price_score) / 2
- **vol_score** and **price_score** are based on current volume and price percentiles.
Local performance
🔶 Entry and Exit Logic
1. Long Entry: If Z-Score crosses above 1.618, then Enter Long.
2. Short Entry: If Z-Score crosses below -1.618, then Enter Short.
3. Exiting Positions:
If Long and Z-Score crosses below 0:
Exit Long
If Short and Z-Score crosses above 0:
Exit Short
4. Take-Profit Execution:
- Set multiple exit orders at dynamically calculated TP levels based on ATR and adjusted by `TP_Factor`.
█ Trade Direction
The strategy determines trade direction using the Z-Score from the BBP indicator:
- Long Positions:
- Condition: Z-Score crosses above 1.618.
- Short Positions:
- Condition: Z-Score crosses below -1.618.
- Exiting Trades:
- Long Exit: Z-Score drops below 0.
- Short Exit: Z-Score rises above 0.
This approach aligns trades with prevailing market trends, increasing the likelihood of successful outcomes.
█ Usage
Implementing the BBP Strategy with Volume-Percentile TP in TradingView involves:
1. Adding the Strategy:
- Copy the Pine Script code.
- Paste it into TradingView's Pine Editor.
- Save and apply the strategy to your chart.
2. Configuring Settings:
- Adjust parameters like EMA length, Z-Score thresholds, ATR multipliers, volume periods, and percentile settings to match your trading preferences and asset behavior.
3. Backtesting:
- Use TradingView’s backtesting tools to evaluate historical performance.
- Analyze metrics such as profit factor, drawdown, and win rate.
4. Optimization:
- Fine-tune parameters based on backtesting results.
- Test across different assets and timeframes to enhance adaptability.
5. Deployment:
- Apply the strategy in a live trading environment.
- Continuously monitor and adjust settings as market conditions change.
█ Default Settings
The BBP Strategy with Volume-Percentile TP includes default parameters designed for balanced performance across various markets. Understanding these settings and their impact is essential for optimizing strategy performance:
Bull Bear Power Settings:
- EMA Length (`lengthInput`): 21
- **Effect:** Balances sensitivity and trend identification; shorter lengths respond quicker but may generate false signals.
- Z-Score Length (`zLength`): 252
- **Effect:** Long period for stable mean and standard deviation, reducing false signals but less responsive to recent changes.
- Z-Score Threshold (`zThreshold`): 1.618
- **Effect:** Higher threshold filters out weaker signals, focusing on significant market moves.
Take Profit Settings:
- Use Take Profit (`useTP`): Enabled (`true`)
- **Effect:** Activates dynamic profit-taking, enhancing profitability and risk management.
- ATR Period (`baseAtrLength`): 20
- **Effect:** Shorter period for sensitive volatility measurement, allowing tighter profit targets.
- ATR Multipliers:
- **Effect:** Define conservative to aggressive profit targets based on volatility.
- Position Sizes:
- **Effect:** Diversifies profit-taking across multiple levels, balancing risk and reward.
Volume Analysis Settings:
- Volume MA Period (`vol_period`): 100
- **Effect:** Longer period for stable volume average, reducing the impact of short-term spikes.
- Volume Multipliers:
- **Effect:** Determines volume conditions affecting take-profit adjustments.
- Volume Factors:
- **Effect:** Adjusts ATR multipliers based on volume strength.
Percentile Analysis Settings:
- Percentile Period (`perc_period`): 100
- **Effect:** Balances historical context with responsiveness to recent data.
- Percentile Thresholds:
- **Effect:** Defines price and volume percentile levels influencing take-profit adjustments.
- Percentile Factors:
- **Effect:** Modulates ATR multipliers based on price percentile strength.
Impact on Performance:
- EMA Length: Shorter EMAs increase sensitivity but may cause more false signals; longer EMAs provide stability but react slower to market changes.
- Z-Score Parameters:*Longer Z-Score periods create more stable signals, while higher thresholds reduce trade frequency but increase signal reliability.
- ATR Multipliers and Position Sizes: Higher multipliers allow for larger profit targets with increased risk, while diversified position sizes help in securing profits at multiple levels.
- Volume and Percentile Settings: These adjustments ensure that take-profit targets adapt to current market conditions, enhancing flexibility and performance across different volatility environments.
- Commission and Slippage: Accurate settings prevent overestimation of profitability and ensure the strategy remains viable after accounting for trading costs.
Conclusion
The BBP Strategy with Volume-Percentile TP offers a robust framework by combining BBP indicators with volume and percentile analyses. Its dynamic take-profit mechanism, tailored through ATR adjustments, ensures that traders can effectively capture profits while managing risks in varying market conditions.
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Dual Spectrum RSI [CHE]Dual Spectrum RSI Indicator
Introduction
The Dual Spectrum RSI Indicator is an innovative and robust tool designed for traders aiming to enhance their market analysis and trading precision. This script leverages multi-timeframe analysis, advanced RSI configurations, and customizable visualization options to provide actionable insights for both trend-following and contrarian strategies.
Key Features
1. Dynamic Timeframe Selection
- Automatically adapts the resolution based on the current chart's timeframe.
- Options to switch between Auto Timeframe, Multiplier-based Timeframe, or Manual Resolution for complete control.
2. Advanced RSI Calculations
- Dual RSI setup for multi-layered analysis:
- Primary RSI for trend identification on the higher timeframe (HTF).
- Secondary RSI for entry signals with oversold/overbought crossovers on the current chart timeframe.
3. EMA Integration on Higher Timeframe (HTF)
- The Exponential Moving Average (EMA) acts as a robust trend filter, calculated on the Higher Timeframe (HTF).
- This ensures that trade signals align with the broader market trend, providing a strategic edge and reducing noise from lower timeframes.
4. Signal Clarity
- Visual labels for Buy and Sell signals directly on the chart.
- Dynamic stop-loss suggestions that adjust based on EMA crossovers and trend changes.
5. Customizable Visualization
- Gradient fills for overbought/oversold zones provide intuitive visual cues.
- User-friendly inputs for adjusting separator lines, color schemes, and label styles.
6. Comprehensive Data Display
- Real-time updates in an Info Box, showing active timeframe settings and resolution.
- Easy-to-understand trend conditions, making it accessible for both novice and professional traders.
Benefits for Traders
1. Precision in Decision-Making
The multi-timeframe capability ensures that traders always have the broader market context, minimizing false signals and enhancing trade accuracy.
2. Flexibility and Customization
Fully adjustable parameters allow traders to tailor the indicator to their unique trading style, whether scalping, day trading, or swing trading.
3. Enhanced Market Insights
By combining HTF trend filters, RSI dynamics, and EMA thresholds, this indicator provides a holistic view of market conditions.
4. User-Friendly Interface
The clean layout and intuitive options make it easy to integrate this tool into any TradingView setup.
5. Increased Confidence in Trades
With visual aids such as labels, gradients, and a trend-detection mechanism, traders can make decisions with greater confidence and less emotional bias.
Example Use Cases
1. Trend-Following Strategy
- Utilize the HTF EMA filter to confirm bullish or bearish trends.
- Enter trades when the secondary RSI crosses oversold/overbought levels in the direction of the trend.
2. Reversal Strategy
- Identify overextended trends using RSI crossovers.
- Look for counter-trend opportunities with precise stop-loss placements.
3. Scalping Setup
- Switch to intraday timeframes and use the multiplier-based resolution to capture short-term market movements.
How to Use
1. Add the script to your TradingView chart by pasting the provided Pine Script code into the Pine Editor.
2. Adjust the Timeframe Type, RSI parameters, and EMA length to align with your trading goals.
3. Monitor the generated signals and use them in conjunction with your broader trading strategy.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Conclusion
The Dual Spectrum RSI Indicator is not just another technical tool—it's a comprehensive trading companion that adapts to your needs, simplifies market analysis, and boosts your trading performance. Whether you're a beginner or a seasoned trader, this indicator provides the edge you need to succeed in today's dynamic markets.
Try It Today!
Experience the power of multi-timeframe analysis and take your trading to the next level. Add the Dual Spectrum RSI Indicator to your TradingView arsenal now!
Best regards
Chervolino
CRT TBSThe CRT Candle Marker is a custom indicator designed to identify and highlight specific candlestick patterns on a chart. This indicator focuses on detecting candles where the body of the candlestick is larger than the combined size of its wicks (upper and lower). Such candles often indicate strong momentum in the market, making them valuable for traders who rely on price action analysis.
Features
Automatic Detection: The indicator automatically scans all candlesticks on the chart to identify CRT candles.
Visual Marking: Once a CRT candle is detected, it places a label with the text "CRT" above the candlestick for easy identification.
Customizable Design: The label is styled with a blue background and white text, ensuring it stands out clearly on the chart.
Use Case
The CRT Candle Marker is particularly useful for traders who:
Want to identify strong momentum candles that could signal potential trend continuation or reversal points.
Rely on price action strategies and need visual cues to spot significant patterns quickly.
Analyze candlestick behavior to confirm entry or exit points in their trading strategies.
How to Use
Copy the Pine Script code and paste it into the Pine Editor in TradingView.
Click Add to Chart to apply the indicator.
Look for candles marked with the "CRT" label to identify strong momentum candles.
Example Scenario
Imagine you're analyzing a chart and looking for strong bullish momentum. With the CRT Candle Marker, you can easily spot candles where the buyers dominated the session, as indicated by a large body relative to the wicks. Similarly, bearish CRT candles could indicate strong selling pressure.
Conclusion
The CRT Candle Marker is a simple yet powerful tool for traders who want to enhance their candlestick analysis. By highlighting significant momentum candles, this indicator helps traders make more informed decisions and improve their overall trading performance.
Anchored Geometric Brownian Motion Projections w/EVAnchored GBM (Geometric Brownian Motion) Projections + EV & Confidence Bands
Version: Pine Script v6
Overlay: Yes
Author:
Published On:
Overview
The Anchored GBM Projections + EV & Confidence Bands indicator leverages the Geometric Brownian Motion (GBM) model to project future price movements based on historical data. By simulating multiple potential future price paths, it provides traders with insights into possible price trajectories, their expected values, and confidence intervals. Additionally, it offers a "Mean of EV" (EV of EV) line, representing the running average of expected values across the projection period.
Key Features
Anchor Time Setup:
Define a specific point in time from which the projections commence.
By default, it uses the current bar's timestamp but can be customized.
Projection Parameters:
Projection Candles (Bars): Determines the number of future bars (time periods) to project.
Number of Simulations: Specifies how many GBM paths to simulate, ensuring statistical relevance via the Central Limit Theorem (CLT).
Display Toggles:
Simulation Lines: Visual representation of individual GBM simulation paths.
Expected Value (EV) Line: The average price across all simulations at each projection bar.
Upper & Lower Confidence Bands: 95% confidence intervals indicating potential price boundaries.
EV of EV Line: Running average of EV values, providing a smoothed central tendency across the projection period. Additionally, this line often acts as an indicator of trend direction.
Visualization:
Clear and distinguishable lines with customizable colors and styles.
Overlayed on the price chart for direct comparison with actual price movements.
Mathematical Foundation
Geometric Brownian Motion (GBM):
Definition: GBM is a continuous-time stochastic process used to model stock prices. It assumes that the logarithm of the stock price follows a Brownian motion with drift.
Equation:
S(t)=S0⋅e(μ−12σ2)t+σW(t)
S(t)=S0⋅e(μ−21σ2)t+σW(t) Where:
S(t)S(t) = Stock price at time tt
S0S0 = Initial stock price
μμ = Drift coefficient (average return)
σσ = Volatility coefficient (standard deviation of returns)
W(t)W(t) = Wiener process (standard Brownian motion)
Drift (μμ) and Volatility (σσ):
Drift (μμ) represents the expected return of the stock.
Volatility (σσ) measures the stock's price fluctuation intensity.
Central Limit Theorem (CLT):
Principle: With a sufficiently large number of independent simulations, the distribution of the sample mean (EV) approaches a normal distribution, regardless of the underlying distribution.
Application: Ensures that the EV and confidence bands are statistically reliable.
Expected Value (EV) and Confidence Bands:
EV: The mean price across all simulations at each projection bar.
Confidence Bands: Range within which the actual price is expected to lie with a specified probability (e.g., 95%).
EV of EV (Mean of Sample Means):
Definition: Represents the running average of EV values across the projection period, offering a smoothed central tendency.
Methodology
Anchor Time Setup:
The indicator starts projecting from a user-defined Anchor Time. If not customized, it defaults to the current bar's timestamp.
Purpose: Allows users to analyze projections from a specific historical point or the latest market data.
Calculating Drift and Volatility:
Returns Calculation: Computes the logarithmic returns from the Anchor Time to the current bar.
returns=ln(StSt−1)
returns=ln(St−1St)
Drift (μμ): Calculated as the simple moving average (SMA) of returns over the period since the Anchor Time.
Volatility (σσ): Determined using the standard deviation (stdev) of returns over the same period.
Simulation Generation:
Number of Simulations: The user defines how many GBM paths to simulate (e.g., 30).
Projection Candles: Determines the number of future bars to project (e.g., 12).
Process:
For each simulation:
Start from the current close price.
For each projection bar:
Generate a random number zz from a standard normal distribution.
Calculate the next price using the GBM formula:
St+1=St⋅e(μ−12σ2)+σz
St+1=St⋅e(μ−21σ2)+σz
Store the projected price in an array.
Expected Value (EV) and Confidence Bands Calculation:
EV Path: At each projection bar, compute the mean of all simulated prices.
Variance and Standard Deviation: Calculate the variance and standard deviation of simulated prices to determine the confidence intervals.
Confidence Bands: Using the standard normal z-score (1.96 for 95% confidence), establish upper and lower bounds:
Upper Band=EV+z⋅σEV
Upper Band=EV+z⋅σEV
Lower Band=EV−z⋅σEV
Lower Band=EV−z⋅σEV
EV of EV (Running Average of EV Values):
Calculation: For each projection bar, compute the average of all EV values up to that bar.
EV of EV =1j+1∑k=0jEV
EV of EV =j+11k=0∑jEV
Visualization: Plotted as a dynamic line reflecting the evolving average EV across the projection period.
Visualization Elements
Simulation Lines:
Appearance: Semi-transparent blue lines representing individual GBM simulation paths.
Purpose: Illustrate a range of possible future price trajectories based on current drift and volatility.
Expected Value (EV) Line:
Appearance: Solid orange line.
Purpose: Shows the average projected price at each future bar across all simulations.
Confidence Bands:
Upper Band: Dashed green line indicating the upper 95% confidence boundary.
Lower Band: Dashed red line indicating the lower 95% confidence boundary.
Purpose: Highlight the range within which the price is statistically expected to remain with 95% confidence.
EV of EV Line:
Appearance: Dashed purple line.
Purpose: Displays the running average of EV values, providing a smoothed trend of the central tendency across the projection period. As the mean of sample means it approximates the population mean (i.e. the trend since the anchor point.)
Current Price:
Appearance: Semi-transparent white line.
Purpose: Serves as a reference point for comparing actual price movements against projected paths.
Usage Instructions
Configuring User Inputs:
Anchor Time:
Set to a specific timestamp to start projections from a historical point or leave it as default to use the current bar's time.
Projection Candles (Bars):
Define the number of future bars to project (e.g., 12). Adjust based on your trading timeframe and analysis needs.
Number of Simulations:
Specify the number of GBM paths to simulate (e.g., 30). Higher numbers yield more accurate EV and confidence bands but may impact performance.
Display Toggles:
Show Simulation Lines: Toggle to display or hide individual GBM simulation paths.
Show Expected Value Line: Toggle to display or hide the EV path.
Show Upper Confidence Band: Toggle to display or hide the upper confidence boundary.
Show Lower Confidence Band: Toggle to display or hide the lower confidence boundary.
Show EV of EV Line: Toggle to display or hide the running average of EV values.
Managing TradingView's Object Limits:
Understanding Limits:
TradingView imposes a limit on the number of graphical objects (e.g., lines) that can be rendered. High values for projection candles and simulations can quickly consume these limits. TradingView appears to only allow a total of 55 candles to be projected, so if you want to see two complete lines, you would have to set the projection length to 27: since 27 * 2 = 54 and 54 < 55.
Optimizing Performance:
Use Toggles: Enable only the necessary visual elements. For instance, disable simulation lines and confidence bands when focusing on the EV and EV of EV lines. You can also use the maximum projection length of 55 with the lower limit confidence band as the only line, visualizing a long horizon for your risk.
Adjust Parameters: Lower the number of projection candles or simulations to stay within object limits without compromising essential insights.
Interpreting the Indicator:
Simulation Lines (Blue):
Represent individual potential future price paths based on GBM. A wider spread indicates higher volatility.
Expected Value (EV) Line (Goldenrod):
Shows the mean projected price at each future bar, providing a central trend.
Confidence Bands (Green & Red):
Indicate the statistical range (95% confidence) within which the price is expected to remain.
EV of EV Line (Dotted Line - Goldenrod):
Reflects the running average of EV values, offering a smoothed perspective of expected price trends over the projection period.
Current Price (White):
Serves as a benchmark for assessing how actual prices compare to projected paths.
Practical Applications
Risk Management:
Confidence Bands: Help in identifying potential support and resistance levels based on statistical confidence intervals.
EV Path: Assists in setting realistic target prices and stop-loss levels aligned with projected expectations.
Trend Analysis:
EV of EV Line: Offers a smoothed trendline, aiding in identifying overarching market directions amidst price volatility. Indicative of the population mean/overall trend of the data since your anchor point.
Scenario Planning:
Simulation Lines: Enable traders to visualize multiple potential outcomes, fostering better decision-making under uncertainty.
Performance Evaluation:
Comparing Actual vs. Projected Prices: Assess how actual price movements align with projected scenarios, refining trading strategies over time.
Mathematical and Statistical Insights
Simulation Integrity:
Independence: Each simulation path is generated independently, ensuring unbiased and diverse projections.
Randomness: Utilizes a Gaussian random number generator to introduce variability in diffusion terms, mimicking real market randomness.
Statistical Reliability:
Central Limit Theorem (CLT): By simulating a sufficient number of paths (e.g., 30), the sample mean (EV) converges to the population mean, ensuring reliable EV and confidence band calculations.
Variance Calculation: Accurate computation of variance from simulation data ensures precise confidence intervals.
Dynamic Projections:
Running Average (EV of EV): Provides a cumulative perspective, allowing traders to observe how the average expectation evolves as the projection progresses.
Customization and Enhancements
Adjustable Parameters:
Tailor the projection length and simulation count to match your trading style and analysis depth.
Visual Customization:
Modify line colors, styles, and transparency to enhance clarity and fit chart aesthetics.
Extended Statistical Metrics:
Future iterations can incorporate additional metrics like median projections, skewness, or alternative confidence intervals.
Dynamic Recalculation:
Implement logic to automatically update projections as new data becomes available, ensuring real-time relevance.
Performance Considerations
Object Count Management:
High simulation counts and extended projection periods can lead to a significant number of graphical objects, potentially slowing down chart performance.
Solution: Utilize display toggles effectively and optimize projection parameters to balance detail with performance.
Computational Efficiency:
The script employs efficient array handling and conditional plotting to minimize unnecessary computations and object creation.
Conclusion
The Anchored GBM Projections + EV & Confidence Bands indicator is a robust tool for traders seeking to forecast potential future price movements using statistical models. By integrating Geometric Brownian Motion simulations with expected value calculations and confidence intervals, it offers a comprehensive view of possible market scenarios. The addition of the "EV of EV" line further enhances analytical depth by providing a running average of expected values, aiding in trend identification and strategic decision-making.
Hope it helps!
IronBot v3Introduction
IronBot V3 is a TradingView indicator that analyzes market trends, identifies potential trading opportunities, and helps manage trades by visualizing entry points, stop-loss levels, and take-profit targets.
How It Works
The indicator evaluates price action within a specified analysis window to determine market trends. It uses Fibonacci retracement levels to identify key price levels for trend detection and trading signals. Based on user-defined inputs, it calculates and displays trade levels, including entry points, stop-loss, and multiple take-profit levels.
Trend Definition:
The highest high and lowest low are calculated over a specified number of candles.
The price range is determined as the difference between the highest high and lowest low.
Three Fibonacci levels are calculated within this range:
- Fib Level 0.236
- Trend Line (0.5 level)
- Fib Level 0.786
Determining Long and Short Conditions:
Long Conditions (Buy):
The closing price must be above both the trend line (0.5 level) and the Fib Level 0.236.
Additionally, the market must not currently be in a bearish trend.
Short Conditions (Sell):
The closing price must be below both the trend line and the Fib Level 0.786.
The market must not currently be in a bullish trend.
Trend State Updates:
When a condition is met, the indicator sets the trend to bullish or bearish and turns off bearish or bullish trend conditions.
If neither buy nor sell conditions are met, the trend remains unchanged, and no new trade signals are generated.
Inputs and Their Role in the Algorithm
General Settings
Analysis Window: Specifies the number of historical candles to analyze. This influences the calculation of key levels such as highs and lows, which are critical for determining Fibonacci retracement levels.
First Trade: Defines the start date for generating trading signals.
Trade Configuration
Display TP/SL: Enables or disables the visualization of take-profit and stop-loss levels on the chart.
Leverage: Defines the leverage applied to trades for risk and position size calculations.
Initial Capital: Specifies the starting capital, which is used for calculating position sizes and profits.
Exchange Fees (%): Sets the percentage of fees applied by the exchange, which is factored into profit calculations.
Country Tax (%): Allows users to define applicable taxes, which are subtracted from net profits.
Stop-Loss Configuration
Break Even: Toggles the break-even functionality. When enabled, the stop-loss level adjusts dynamically as take-profit levels are reached.
Stop Loss (%): Defines the percentage distance from the entry price to the stop-loss level.
Take-Profit Settings
The indicator supports up to four take-profit levels:
- TP1 through TP4 Ratios: Specify the price levels for each take-profit target as a percentage of the entry price.
- Profit Percentages: Allocate a percentage of the position size to each take-profit level.
Visualization Elements
Trend Indicators: Displays Fibonacci-based trend lines and markers for bullish or bearish conditions.
Trade Levels: Entry, stop-loss, and take-profit levels are visualized on the chart by dotted lines for clarity. Additionally, a semi-transparent background is applied when a portion of the trade is closed to enhance visualization. Positive profits from a closed trade are green; otherwise, they are red.
Trade Profit Indicator: On each trade, every time a part of the trade is closed (e.g., take profit is reached), the profit indicator will be updated.
Performance Panel: Summarizes key account statistics, including net balance, profit/loss, and trading performance metrics.
Usage Guidelines
Add the indicator to your TradingView chart.
Configure the input settings based on your trading strategy.
Use the displayed levels and trend signals to make informed trading decisions.
Contact
For further assistance, including automation inquiries, feel free to contact me through TradingView’s messaging system.
Purpose and Disclaimer
IronBot V3 is designed for educational purposes and to assist in analyzing market trends. It is not financial advice, and users should perform their own due diligence before making any trading decisions.
Trading involves significant risk, and past performance is not indicative of future results. Use this indicator responsibly.
Line Break Chart StrategyHello All!
We should not pass this year without a gift!
My last publication in 2024 is Complete Line Break Chart Strategy with many features!
What is Line Break Chart?
" Line Break is a Japanese chart style that disregards time intervals and only focuses on price movements, similar to the Kagi and Renko chart styles. Line Break charts form a series of up and down bars (referred to as lines). Up lines represent rising prices, and down lines represent falling prices. New confirmed lines only form on the chart when closing prices break the range covered by previous lines. Users can control the number of past lines used in the calculation via the "Number of Lines" input in the chart settings. The typical "Number of Lines" setting is 3, meaning the chart forms a new up line when the closing price is above the high prices of the last three lines, and it forms a new down line when the closing price is below the past three lines' low prices. If the current price is higher, it is an up line and if it is lower, it is a down line. If the current closing price is the same or the move in the opposite direction is not large enough to warrant a reversal, l then no new line is draw n" by Tradingview. You can find it here
Now let's start examining the features of the indicator:
By using Line break reversals it shows trend on the main chart. You can create alert .
Moreover, you can decide which trade should be taken by using Risk Management in the indicator. You can set the " Maximum Risk " and then if the risk is more than you set then the trade is not taken. When trend changed it checks the distance between reversal level and open price and compare it with the Maximum Risk
Breakout:
It can find breakouts and shows on the chart. You can create alert for breakouts
It can show breakouts on the main chart:
Flip-Flops:
Upon looking at set of price break charts, the trader will notice that there are instances when uptrend blocks is followed by one reversal block, and then by a reversal to a series of uptrend blocks. The opposite is also possible: a series of downtrend blocks is followed by one reversal box and then by an immediate reversal to downtrend. This price action is called a " Flip-Flop ". This structure usually produces trend continuation signal. when we see this then we better use Buy/Sell stop order. lets see this on the chart:
Temporal Sequence Table:
Sequence frequency shows the frequency distribution of the number of sequential highs and the number of sequential lows that have been generated. This is quite important to the trader who is seeking to join a trend or put on a trade when the price break reverses into a new trend direction. For example, if the pattern over the past year has been that there never were more than nine consecutive high closes, it would make sense not to enter a position late into the sequence of new high closes.
also you can see market structure. I have tried to formalize it and show it under the table. so you can understand if it's choppy market.
"Number of Lines" has very important role. While using low time frames such seconds/minutes time frame you may want to choose higher number of lines such 5,6. ( this may minimize the risk of a whipsaw )
Gaps feature:
You can set Gaps on/off. if Gaps on then you can see how long it takes for each box
Reversal and Continuation Probability:
The script calculated Reversal level and Continuation probability of the trend by using Sequence frequency.
It also shows unconfirmed box and current closing price level:
Last but not least it has Overlay option for all items, and can show all items in the main chart!
P.S. I added alerts :)
Wish you all a happy new year!
Enjoy!
Multi-Feature IndicatorThe Multi-Feature Indicator combines three popular technical analysis tools — RSI, Moving Averages (MA), and MACD — into a single indicator to provide unified buy and sell signals. This script is designed for traders who want to filter out noise and focus on signals confirmed by multiple criteria.
Features:
RSI (Relative Strength Index):
Measures momentum and identifies overbought (70) and oversold (30) conditions.
A signal is triggered when RSI crosses these thresholds.
Moving Averages (MA):
Uses a short-term moving average (default: 9 periods) and a long-term moving average (default: 21 periods).
Buy signals occur when the short-term MA crosses above the long-term MA, indicating an uptrend.
Sell signals occur when the short-term MA crosses below the long-term MA, indicating a downtrend.
MACD (Moving Average Convergence Divergence):
A trend-following momentum indicator that shows the relationship between two moving averages of an asset's price.
Signals are based on the crossover of the MACD line and its signal line.
Unified Buy and Sell Signals:
Buy Signal: Triggered when:
RSI crosses above 30 (leaving oversold territory).
Short-term MA crosses above the long-term MA.
MACD line crosses above the signal line.
Sell Signal: Triggered when:
RSI crosses below 70 (leaving overbought territory).
Short-term MA crosses below the long-term MA.
MACD line crosses below the signal line.
Visualization:
The indicator plots the short-term and long-term moving averages on the price chart.
Green "BUY" labels appear below price bars when all buy conditions are met.
Red "SELL" labels appear above price bars when all sell conditions are met.
Parameters:
RSI Length: Default is 14. This controls the sensitivity of the RSI.
Short MA Length: Default is 9. This determines the short-term trend.
Long MA Length: Default is 21. This determines the long-term trend.
Use Case:
The Multi-Feature Indicator is ideal for traders seeking higher confirmation before entering or exiting trades. By combining momentum (RSI), trend (MA), and momentum shifts (MACD), it reduces false signals and enhances decision-making.
How to Use:
Apply the indicator to your chart in TradingView.
Look for "BUY" or "SELL" signals, which appear when all conditions align.
Use this tool in conjunction with other analysis techniques for best results.
Note:
The default settings are suitable for many assets, but you may need to adjust them for different timeframes or market conditions.
This indicator is meant to assist in trading decisions and should not be used as the sole basis for trading.
AlphaEdge Crypto Tracker [CHE]AlphaEdge Crypto Tracker
Efficiently Identify Top Performers and Underperformers Among 40 Crypto Assets at a Glance
In the fast-paced world of cryptocurrency trading, staying ahead requires the ability to quickly assess the performance of multiple assets simultaneously. AlphaEdge Crypto Tracker is an advanced Pine Script™ indicator designed for TradingView that empowers traders to effortlessly monitor and evaluate 40 different crypto assets in real-time.
This tool is my Christmas gift to all traders. I wish you all a Merry Christmas and successful trades in the coming year!
Why It’s Important to Identify Winners and Losers Among 40 Assets at a Glance:
1. Time Efficiency: Managing a diverse portfolio can be overwhelming. With AlphaEdge Crypto Tracker, traders can swiftly identify which assets are performing exceptionally well (winners) and which are underperforming (losers) without the need to analyze each asset individually.
2. Informed Decision-Making: By having a clear overview of top gainers and losers, traders can make strategic decisions such as reallocating investments, taking profits, or cutting losses, thereby optimizing their trading strategies.
3. Risk Management: Quickly spotting underperforming assets helps in mitigating potential losses and adjusting positions to maintain a balanced and profitable portfolio.
4. Opportunity Identification: Recognizing top-performing assets allows traders to capitalize on emerging trends and maximize their returns by focusing on the most promising opportunities.
Key Features of AlphaEdge Crypto Tracker :
- Comprehensive Asset Tracking: Monitors 40 crypto assets simultaneously, providing a broad view of the market landscape.
- Max Gain and Adjusted Max Loss Calculations: Utilizes a 14-bar (configurable) period to calculate the highest gains and the adjusted maximum losses for each asset, offering insights into potential profitability and risk.
- Dynamic Ranking: Automatically sorts and ranks assets based on their performance, highlighting the top 10 gainers and top 10 losers for easy comparison.
- Customizable Display:
- Table Settings: Adjust the size, position, and colors of the performance table to fit your chart layout.
- Interactive Tooltips: Hover over asset names to view detailed tooltips, enhancing usability and information accessibility.
- Visual Alerts: Changes in asset performance are visually indicated through background color updates, allowing for immediate recognition of significant shifts.
- User-Friendly Interface: Intuitive table layout with clear headers and organized data presentation, making it easy for traders of all levels to interpret the information.
How It Works:
1. Data Calculation: For each of the 40 tracked assets, AlphaEdge Crypto Tracker calculates the maximum gain and adjusted maximum loss over the defined trading period.
2. Sorting and Ranking: The assets are sorted based on their maximum gains and adjusted maximum losses, automatically updating to reflect the latest market movements.
3. Real-Time Display: The top 10 gainers and losers are displayed in a neatly organized table directly on your TradingView chart, providing immediate visual insights.
4. Customization: Users can tailor the tracking period, select specific assets to monitor, and adjust the table’s appearance to match their trading style and preferences.
Conclusion:
AlphaEdge Crypto Tracker is an essential tool for cryptocurrency traders seeking to enhance their market analysis and decision-making processes. By providing a comprehensive and customizable overview of multiple assets, it enables traders to efficiently identify profitable opportunities and manage risks effectively. Whether you’re a seasoned trader or just starting, AlphaEdge Crypto Tracker equips you with the insights needed to navigate the dynamic crypto market with confidence.
Get Started Today:
Integrate AlphaEdge Crypto Tracker into your TradingView setup and take control of your crypto trading strategy with unparalleled clarity and precision.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
License Information:
This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0. You can view the full license (mozilla.org).
© chervolino
Fibonacci Retracement and Target LevelsHighest and Lowest Price Points:
The script calculates the highest (high_price) and lowest (low_price) prices in the specified timeframe. These values are essential for computing the Fibonacci retracement and extension levels.
Fibonacci Retracement Levels:
fib_0: 0% level (highest price).
fib_236, fib_382, fib_50, fib_618, and fib_100: These are the classic Fibonacci retracement levels used to identify potential support or resistance areas as the price retraces from its highest point.
Fibonacci Extension Levels (Targets):
fib_1618, fib_2618, and fib_4236: These are Fibonacci extension levels used to predict potential price targets in the direction of the trend if the price breaks beyond its current range.
Drawing the Levels:
The line.new function is used to draw horizontal lines on the chart representing the Fibonacci retracement and extension levels.
Dashed lines represent retracement levels.
Dotted lines represent extension (target) levels.
How to Use:
Create a new Pine Script in TradingView.
Paste the code above into the Pine Script editor.
Save the script and apply it to your chart to see Fibonacci retracement and extension levels plotted.
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! 🎅🎄
FT SessionsFT Sessions
Overview
The FT Sessions is a highly customizable and powerful indicator designed for intraday traders who focus on session-based analysis. This script visually highlights global market sessions—Asia, Frankfurt, London, and New York (AM & PM)—on the chart, making it easier to track session ranges and analyze intraday price movements.
Key Features
Customizable Session Times and Colors:
Define your own session times and assign unique colors for better visibility.
Session Range Visualization:
Displays high and low ranges for each session.
Optional transparent range areas with outlines for clarity.
Configurable session range labels for enhanced readability.
Flexible Timezone Settings:
Choose a UTC offset or sync with the exchange's timezone.
User-Friendly Customization:
Compact settings for easier adjustments.
Enable or disable specific sessions to focus on relevant market activity.
How This Script Differs from LuxAlgo
This script draws inspiration from LuxAlgo's session tracking concept but has been developed with significant modifications and unique features:
Built from Scratch in Pine Script v5:
Fully optimized for Pine Script’s latest version, improving performance and functionality.
Expanded Session Range Features:
Five unique sessions (Asia, Frankfurt, London, New York AM, New York PM) with customizable ranges, colors, and labels.
Real-time updating of session ranges for improved intraday analysis.
4H Timeframe Optimization:
Automatically notifies users if applied to an unsupported timeframe, ensuring session accuracy.
Highly Configurable Input Options:
Advanced timezone handling and compact session management settings.
Unique Coding Structure:
Designed to maximize efficiency and minimize resource usage on TradingView.
While LuxAlgo focuses on session concepts, this script brings a fresh, customizable approach specifically tailored for intraday traders seeking precision in tracking session activity.
How It Works
The indicator tracks price movements within each session.
Highlights the high and low range of each session directly on the chart.
Updates session ranges in real-time to reflect evolving market conditions.
Practical Applications
Intraday Trading: Plan trades based on major market session ranges.
Breakout Strategies: Use session high and low levels to identify potential breakouts.
Session-Specific Patterns: Spot consolidations and reversals within session activity.
Important Notes
Optimized for the 4H timeframe. If applied to another timeframe, a notification will appear.
Best used in combination with other tools (e.g., volume or trend indicators) for a complete trading strategy.
Credits
This script draws inspiration from LuxAlgo's open-source session-tracking methodology. However, it introduces substantial improvements and unique features that set it apart. Full credit is given to LuxAlgo for their original open-source concept.
Disclaimer
This script is for informational and educational purposes only. Always test on a demo account before applying to live markets.
FuTech : IPO Lock-in Ends FuTech: Lock-in Ends - First ever unique Indicator on the TradingView platform
Hello Everyone !
Introducing the first-ever unique indicator on the TradingView platform to track the lock-in period expiry dates for IPOs.
The FuTech Lock-in Ends Indicator is specifically designed to assist traders and investors in identifying the key dates when lock-in periods for IPO shares come to an end.
This provides an edge in preparing for potential market movements driven by buying or selling pressures associated with significant share volumes.
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Key Features:
1. Tracks Multiple Lock-in Periods:
- Identifies dates when the 30 days, 90 days, 6 months, and 18 months lock-in periods for IPO shares expire.
- Helps traders anticipate potential market action driven by share releases.
2. IPO Lock-in Ends dates as per Compliance with SEBI Guidelines:
- SEBI (Securities and Exchange Board of India) mandates lock-in periods for IPO shares based on investor categories:
- A) Promoters:
- Lock-in period reduced to 18 months for up to 20% of post-issue paid-up capital (previously 3 years).
- For shareholding exceeding 20%, the lock-in period is further reduced to 6 months (previously 1 year).
- B) Anchor Investors:
- 50% of allotted shares: Lock-in period of 90 days from the date of allotment.
- Remaining 50% of shares: Lock-in period of 30 days from the date of allotment.
- C) Non-promoters:
- Lock-in period reduced to 6 months (previously 1 year).
After these lock-in periods end, investors may buy / sell their shares, which can result in significant market activity.
3. Visual Indicator on Charts:
- The indicator draws vertical lines on the TradingView chart at the respective lock-in expiry dates.
- Alerts users in advance about potential market activity due to the release of locked shares.
- Traders can use these alerts to prepare for positions or adjust their existing holdings accordingly.
4. Customizable Settings:
- Users can modify the color of the labels and width of the lines to suit their preferences and enhance chart visibility.
5. User-defined Allotment Dates:
- If the allotment date is known, users can input this information directly. The indicator will then calculate the lock-in period dates based on the provided allotment date, ensuring precise results.
- If no allotment date is entered, the default calculation assumes the allotment date to be three trading days prior to the listing date .
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Important Notes:
- Allotment Date Calculation:
- In the absence of user-defined allotment dates, the indicator estimates the allotment date as three trading days prior to the listing date .
- This approximation may deviate by one to two days from the actual event for certain IPOs.
- Proactive Alerts:
- Most dates are intentionally marked 1-2 days in advance to give traders sufficient time to act, whether for taking new positions or squaring off existing ones to avoid unfavorable losses.
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The FuTech Lock-in Ends Indicator is a must-have tool for IPO traders and investors looking to stay ahead of market movements. Use it to track key dates and plan your trading strategy effectively with FuTech : Chart is Art.
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Thank you !
Jai Swaminarayan Dasna Das !
He Hari ! Bas Ek Tu Raji Tha !
Support and Resistance TrendlinesStrategy:
Support: Identified as the lowest low over a specific period.
Resistance: Identified as the highest high over a specific period.
Dynamic Trendlines: We’ll use the concept of a rolling window to calculate the highest highs and lowest lows over the last n bars (you can adjust the number of bars for more sensitivity).
Explanation:
Lookback Period (length): The number of bars over which we calculate the support and resistance levels. You can adjust this value depending on the timeframe and the sensitivity you want for the trendlines.
Resistance: This is the highest high over the length of bars. We use ta.highest(high, length) to find the highest high within the specified lookback period.
Support: This is the lowest low over the length of bars. We use ta.lowest(low, length) to find the lowest low within the specified lookback period.
Plotting the Lines:
We plot the support and resistance as horizontal lines on the chart using plot().
Additionally, we create dynamic trendlines that update automatically with each new bar. The line.new function creates lines that can be modified dynamically as new price data comes in.
Line Persistence:
The line functions are used to create horizontal lines that persist across bars. The trendlines adjust their position as the bars move forward.
How It Works:
This indicator will automatically detect the highest and lowest prices over the last n bars and draw support (green line) and resistance (red line) levels on the chart.
The trendlines will adjust as the market evolves and provide visual reference points for potential areas of price reversal.
How to Use This Script:
Copy and paste the Pine Script code into the Pine Script Editor on TradingView.
Save the script, and then add it to your chart.
Adjust the Lookback Period input to suit your trading strategy and timeframe.
The support and resistance levels will be drawn dynamically, and the lines will update as new bars form.
Customizations:
You can modify the number of bars (length) used to calculate support and resistance, depending on the timeframes you're interested in.
If you need more advanced trendline drawing (such as drawing trendlines between significant high/low points or automatic adjustment to more complex patterns), you might need to implement more advanced logic using peaks and valleys or price action patterns.
Let me know if you need any further adjustments!
3_SMA_Strategy_V-Singhal by ParthibIndicator Name: 3_SMA_Strategy_V-Singhal by Parthib
Description:
The 3_SMA_Strategy_V-Singhal by Parthib is a dynamic trend-following strategy that combines three key simple moving averages (SMA) — SMA 20, SMA 50, and SMA 200 — to generate buy and sell signals. This strategy uses these SMAs to capture and follow market trends, helping traders identify optimal entry (buy) and exit (sell) points. Additionally, the strategy highlights the closing price (CP), which plays a critical role in confirming buy and sell signals.
The strategy also features a Second Buy Signal triggered if the price falls more than 10% after an initial buy signal, providing a re-entry opportunity with a different visual highlight for the second buy signal.
Features:
Three Simple Moving Averages (SMA):
SMA 20: Short-term moving average reflecting immediate market trends.
SMA 50: Medium-term moving average showing the prevailing trend.
SMA 200: Long-term moving average that indicates the overall market trend.
Buy Signal (B1):
Triggered when:
SMA 200 > SMA 50 > SMA 20, indicating a bullish market structure.
The closing price is positioned below all three SMAs, confirming a potential upward reversal.
A green label appears at the low of the bar with the text B1-Price, indicating the price at which the buy signal is generated.
Second Buy Signal (B2):
Triggered if the price falls more than 10% after the first buy signal, providing an opportunity to re-enter the market at a potentially better price.
A blue label appears at the low of the bar with the text B2-Price, showing the price at which the second buy opportunity arises.
Sell Signal (S):
Triggered when:
SMA 20 > SMA 50 > SMA 200, indicating a bearish trend.
The closing price (CP) is positioned above all three SMAs, confirming a potential downward movement.
A red label appears at the high of the bar with the text S-Price, showing the price at which the sell signal is triggered.
How It Works:
Buy Conditions:
SMA 200 > SMA 50 > SMA 20: Indicates a bullish market where the long-term trend (SMA 200) is above the medium-term (SMA 50), and the medium-term trend is above the short-term (SMA 20).
Closing price below all three SMAs: Confirms that the price is in a favorable position for a potential upward reversal.
Sell Conditions:
SMA 20 > SMA 50 > SMA 200: This setup indicates a bearish trend.
Closing price above all three SMAs: Confirms that the price is in a favorable position for a potential downward movement.
Second Buy Signal (B2): If the price falls more than 10% after the first buy signal, the strategy triggers a second buy opportunity (B2) at a potentially better price. This helps traders take advantage of pullbacks or corrections after an initial favorable entry.
Labeling System:
B1-Price: The first buy signal label, appearing when the market is bullish and the closing price is below all three SMAs.
B2-Price: The second buy signal label, triggered if the price falls more than 10% after the initial buy signal.
S-Price: The sell signal label, appearing when the market turns bearish and the closing price is above all three SMAs.
How to Use:
Add the Indicator: Add "3_SMA_Strategy_V-Singhal by Parthib" to your chart on TradingView.
Interpret Buy Signals (B1): Look for green labels with the text "B1-Price" when the closing price (CP) is below all three SMAs and the trend is bullish.
Interpret Second Buy Signals (B2): If the price falls more than 10% after the first buy, look for blue labels with "B2-Price" and a re-entry opportunity.
Interpret Sell Signals (S): Look for red labels with the text "S-Price" when the market turns bearish, and the closing price (CP) is above all three SMAs.
Conclusion:
The 3_SMA_Strategy_V-Singhal by Parthib is an efficient and simple trend-following tool for traders looking to make informed buy and sell decisions. By combining the power of three SMAs and the closing price (CP) confirmation, this strategy helps traders to buy when the market shows a strong bullish setup and sell when the trend turns bearish. Additionally, the second buy signal feature ensures that traders don’t miss out on re-entry opportunities after price corrections, giving them a chance to re-enter the market at a favorable price.
RSI and Bollinger Bands Screener [deepakks444]Indicator Overview
The indicator is designed to help traders identify potential long signals by combining the Relative Strength Index (RSI) and Bollinger Bands across multiple timeframes. This combination allows traders to leverage the strengths of both indicators to make more informed trading decisions.
Understanding RSI
What is RSI?
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Developed by J. Welles Wilder Jr. for stocks and forex trading, the RSI is primarily used to identify overbought or oversold conditions in an asset.
How RSI Works:
Calculation: The RSI is calculated using the average gains and losses over a specified period, typically 14 periods.
Range: The RSI oscillates between 0 and 100.
Interpretation:
Key Features of RSI:
Momentum Indicator: RSI helps identify the momentum of price movements.
Divergences: RSI can show divergences, where the price makes a higher high, but the RSI makes a lower high, indicating potential reversals.
Trend Identification: RSI can also help identify trends. In an uptrend, the RSI tends to stay above 50, and in a downtrend, it tends to stay below 50.
Understanding Bollinger Bands
What is Bollinger Bands?
Bollinger Bands are a type of trading band or envelope plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a price. Developed by financial analyst John Bollinger, Bollinger Bands consist of three lines:
Upper Band: SMA + (Standard Deviation × Multiplier)
Middle Band (Basis): SMA
Lower Band: SMA - (Standard Deviation × Multiplier)
How Bollinger Bands Work:
Volatility Measure: Bollinger Bands measure the volatility of the market. When the bands are wide, it indicates high volatility, and when the bands are narrow, it indicates low volatility.
Price Movement: The price tends to revert to the mean (middle band) after touching the upper or lower bands.
Support and Resistance: The upper and lower bands can act as dynamic support and resistance levels.
Key Features of Bollinger Bands:
Volatility Indicator: Bollinger Bands help traders understand the volatility of the market.
Mean Reversion: Prices tend to revert to the mean (middle band) after touching the bands.
Squeeze: A Bollinger Band Squeeze occurs when the bands narrow significantly, indicating low volatility and a potential breakout.
Combining RSI and Bollinger Bands
Strategy Overview:
The strategy aims to identify potential long signals by combining RSI and Bollinger Bands across multiple timeframes. The key conditions are:
RSI Crossing Above 60: The RSI should cross above 60 on the 15-minute timeframe.
RSI Above 60 on Higher Timeframes: The RSI should already be above 60 on the hourly and daily timeframes.
Price Above 20MA or Walking on Upper Bollinger Band: The price should be above the 20-period moving average of the Bollinger Bands or walking on the upper Bollinger Band.
Strategy Details:
RSI Calculation:
Calculate the RSI for the 15-minute, 1-hour, and 1-day timeframes.
Check if the RSI crosses above 60 on the 15-minute timeframe.
Ensure the RSI is above 60 on the 1-hour and 1-day timeframes.
Bollinger Bands Calculation:
Calculate the Bollinger Bands using a 20-period moving average and 2 standard deviations.
Check if the price is above the 20-period moving average or walking on the upper Bollinger Band.
Entry and Exit Signals:
Long Signal: When all the above conditions are met, consider a long entry.
Exit: Exit the trade when the price crosses below the 20-period moving average or the stop-loss is hit.
Example Usage
Setup:
Add the indicator to your TradingView chart.
Configure the inputs as per your requirements.
Monitoring:
Look for the long signal on the chart.
Ensure that the RSI is above 60 on the 15-minute, 1-hour, and 1-day timeframes.
Check that the price is above the 20-period moving average or walking on the upper Bollinger Band.
Trading:
Enter a long position when the criteria are met.
Set a stop-loss below the low of the recent 15-minute candle or based on your risk management rules.
Monitor the trade and exit when the RSI returns below 60 on any of the timeframes or when the price crosses below the 20-period moving average.
House Rules Compliance
No Financial Advice: This strategy is for educational purposes only and should not be construed as financial advice.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Past Performance: Past performance is not indicative of future results. Always conduct your own research and analysis.
TradingView Guidelines: Ensure that any shared scripts or strategies comply with TradingView's terms of service and community guidelines.
Conclusion
This strategy combines RSI and Bollinger Bands across multiple timeframes to identify potential long signals. By ensuring that the RSI is above 60 on higher timeframes and that the price is above the 20-period moving average or walking on the upper Bollinger Band, traders can make more informed decisions. Always remember to conduct thorough research and use proper risk management techniques.
Drawdown from All-Time High (Line)This Pine Script is a **Drawdown Indicator from All-Time High** for TradingView. It calculates and plots the percentage drawdown from the highest price the asset has ever reached (the all-time high). Here's a breakdown of what this script does:
### Description:
- **Drawdown Calculation**:
- The drawdown is calculated as the difference between the current price (`close`) and the all-time high, divided by the all-time high, and multiplied by 100 to express it as a percentage.
- If the current price is higher than the previous all-time high, the all-time high is updated to the current price.
- **All-Time High Tracking**:
- The script tracks the highest price (`allTimeHigh`) that the asset has ever reached. Each time a new high is reached, the `allTimeHigh` value is updated.
- **Line Plot**:
- The drawdown percentage is then plotted as a line on the chart, with a color of **blue** for easy visualization.
- The line shows how much the price has dropped relative to its all-time high.
- **Zero Line**:
- A horizontal line is added at the **0%** level to act as a reference point, which is helpful to identify when the asset has fully recovered to its all-time high.
### Key Features:
- **Track Drawdown**: The indicator helps visualize how far the current price has fallen from its highest point, which is useful for understanding the depth of losses (drawdowns) during a period.
- **Update All-Time High**: The indicator automatically updates the all-time high whenever a new high is detected.
- **Visual Reference**: The 0% horizontal line provides a clear indication of when the asset is at its all-time high, and the drawdown is at 0%.
### How it Works:
- If the current price surpasses the all-time high, the script will reset the all-time high to the new price.
- The drawdown percentage is calculated from the current price relative to this all-time high, and it is displayed as a line on the chart.
### Visuals:
- **Drawdown Line**: Plots the percentage of the drawdown, which is the drop from the all-time high.
- **Zero Line**: A dotted horizontal line at 0% marks the level of the all-time high.
This indicator is valuable for understanding the extent of price corrections and potential recoveries relative to the historical peak of the asset. It is especially useful for traders and investors who want to assess the risk of drawdowns in relation to the highest price achieved by the asset.
Enhanced RSIEnhanced RSI with Phases, Divergences & Volume Control:
This advanced RSI indicator expands on the traditional Relative Strength Index by introducing dynamic exhaustion phase detection, automatic divergence identification, and volume-based control evaluation. It provides traders with actionable insights into trend momentum, potential reversals, and market dominance.
Key Features:
Dynamic Exhaustion Phases:
Identifies real phases of the RSI based on slope and momentum:
Acceleration: Momentum increasing rapidly (green phase).
Deceleration: Momentum weakening (red phase).
Plateau: Momentum flattening (yellow phase).
Neutral: No significant momentum shift detected.
Phases are displayed dynamically in a box on the chart.
Automatic Divergence Detection:
Bullish Divergence: Identified when price makes a lower low while RSI makes a higher low.
Bearish Divergence: Identified when price makes a higher high while RSI makes a lower high.
Divergences are marked directly on the RSI chart with labeled circles.
Volume-Based Control Evaluation:
Analyzes price action relative to volume to determine market dominance:
Bulls in Control: Closing price is higher than the opening price.
Bears in Control: Closing price is lower than the opening price.
Neutral: No significant dominance (closing equals opening).
Volume status is displayed alongside the RSI phase in the chart’s top-left box.
Custom RSI Plot:
Includes overbought (70), oversold (30), and neutral (50) levels for easier interpretation of market conditions.
RSI plotted in blue for clarity.
How to Use:
Add to Chart:
Apply this indicator to any chart in TradingView.
Interpret the RSI Phase Box:
Use the RSI phase (Acceleration, Deceleration, Plateau, Neutral) to identify trend momentum.
Combine the phase with the volume status (Bulls or Bears in Control) to confirm market sentiment.
Identify Divergences:
Look for Bullish Divergence (potential upward reversal) or Bearish Divergence (potential downward reversal) marked directly on the RSI chart.
Adjust Settings:
Customize the RSI period, phase sensitivity, and divergence lookback period to fit your trading style.
Disclaimer:
This indicator is a tool to assist with technical analysis. It is not a financial advice or a guarantee of market performance. Always combine this indicator with other methods or strategies for better results.
Options Cumulative Chart AnalysysThis Pine Script is a comprehensive tool designed for traders analyzing options data on TradingView. It aggregates multiple symbols to calculate and visualize cumulative performance, providing essential insights for decision-making.
Key Features:
Symbol and Strike Price Configuration:
Supports up to four configurable symbols (e.g., NIFTY options).
Allows defining buy/sell actions, quantities, and entry premiums for each symbol.
Customizable Chart Display:
Plot candlesticks and line charts for cumulative data.
Configurable Exponential Moving Averages (EMAs) for technical analysis.
Entry and price lines with customizable colors.
Timeframe Management:
Supports higher timeframe (HTF) candles.
Ensures compatibility with the current chart timeframe to maintain accuracy.
Dynamic Coloring and Visualization:
Red, green, and gray color schemes for body and wicks of candlesticks based on price movements.
Customizable positive and negative color schemes.
Table for Data Representation:
Displays an info table showing symbols, quantities, entry prices, and latest traded prices (LTP).
Adjustable table position, overlay, and styling.
Premium and Profit/Loss Calculations:
Calculates cumulative open, high, low, and close prices considering premiums and quantities.
Tracks the profit and loss dynamically based on cumulative premiums and market prices.
Alerts and Notifications:
Alerts triggered on specific conditions, such as when the profit/loss turns negative.
Modular Functions:
Functions for calculating high/low/open/close values, combining premiums, and drawing candlesticks.
Utilities for symbol management and security requests.
Custom Settings:
Includes a wide range of input options for customization:
Timeframes, EMA lengths, colors, table configurations, and more.
Error Handling:
Validates timeframe inputs to ensure compatibility and prevent runtime errors.
This script is designed for advanced traders looking for a customizable tool to analyze cumulative options data efficiently. By leveraging its modular design and visual elements, users can make informed trading decisions with a holistic view of market movements.
Crypto Sectors Performance [Daveatt]IMPORTANT
⚠️ This script must be used on the Daily timeframe only.
OVERVIEW
This indicator brings the powerful sector analysis capabilities from velo.xyz/market's
Sector Performance chart to TradingView.
It enables traders to track and compare performance across the crypto market's major sectors, providing essential insights for sector rotation strategies and market analysis.
CALCULATION METHOD
The indicator calculates performance across six key crypto sectors: DeFi, Gaming, Layer 1s, Layer 2s, AI, and Memecoins.
For each sector, it computes a rolling percentage performance by averaging the performance of multiple representative tokens.
All sector performances are rebased to 0% at the start of each period, making relative comparisons clear and intuitive.
VISUALIZATION MODES
The script features two distinct visualization methods:
Plots Mode:
Displays continuous performance lines for each sector over time, ideal for tracking relative strength trends and sector momentum. Each sector has its own color-coded line with performance values clearly marked.
Bars Mode:
Presents current sector performance as vertical bars, offering an immediate visual comparison of sector gains and losses.
The bars are color-coded and labeled with exact percentage values for precise analysis.
For the "Bars Mode", I used the box.new() function
SECTOR COMPOSITION
Each sector comprises carefully selected representative tokens:
- DeFi: AAVE, 1INCH, JUP, MKR, UNI
- Gaming: GALA, AXS, RONIN, SAND
- Layer 1: BTC, ETH, AVAX, APT, SOL, BNB, SUI
- Layer 2: ARB, OP, ZK, POL, STRK, MNT
- AI: FET, NEAR, RENDER, TAO
- Memecoins: PEPE, BONK, SHIB, DOGE, WIFU, POPCAT
PERFORMANCE TRACKING
The indicator implements a rolling window approach for performance calculations.
Starting from 0% at the beginning of each period, it tracks relative performance with positive values indicating outperformance and negative values showing underperformance.
Multiple timeframe options (1W, 1M, 3M, 6M, and 1Y) allow for both short-term and long-term analysis.
APPLICATIONS
This tool proves invaluable for:
- Sector rotation analysis
- Identifying trending sectors
- Comparing relative strength
- Gauging market sentiment
- Understanding market structure through sector performance
Thanks for reading and for the support
Daveatt
Force Volume GradientThis Pine Script is a technical indicator designed for trading platforms, specifically TradingView. It plots the Force Volume Gradient (FVG) and generates buy/sell signals based on the crossover of the FVG line and a signal line.
Key Components:
Force Index: Calculates the exponential moving average (EMA) of the product of the close price and volume.
Force Volume Gradient (FVG): Calculates the EMA of the Force Index.
Signal Line: A simple moving average (SMA) of the FVG.
Buy/Sell Signals: Generated when the FVG line crosses above/below the signal line.
How it Works:
The script calculates the Force Index, which measures the amount of energy or "force" behind price movements.
The FVG is then calculated by applying an EMA to the Force Index, smoothing out the values.
The signal line is a SMA of the FVG, providing a benchmark for buy/sell signals.
When the FVG line crosses above the signal line, a buy signal is generated. Conversely, when the FVG line crosses below the signal line, a sell signal is generated.
Trading Strategy:
This script can be used as a momentum indicator to identify potential buying or selling opportunities. Traders can use the buy/sell signals as entry/exit points, or combine the FVG with other indicators to create a more comprehensive trading strategy.
Customization:
Users can adjust the input parameters, such as the length of the Force Index and signal line, to suit their individual trading preferences.
HTF Candles Overlay [Trendoscope®]🎲 HTF Candles Overlay is a simple indicator where you can overlay higher timeframe candles on current timeframe chart.
Most of the code is encapsulated in the library HTFCandlesLib . After publishing the library as open source, many people requested to convert that into an indicator. Based on this, we decided to publish this small code for the use of community.
🎯 Usage
The indicator is simple, it helps users visualise higher timeframe candles. We majorly use this for debugging or validating our implementations based on higher timeframe. Instead of switching back and forth to different timeframes, it helps us visualise higher timeframe candles on the same chart when we are validating the implementation that involves higher timeframe calculations.
🎯 Components
The indicator provides two types of displays
Candles - overlay candles built through lines and labels
Plot - close price of higher timeframe plotted on chart
🎯 Candles
The behaviour of the candles are similar to that of hollow candles. The color of the body and the border+wick demonstrates the movement of the candle.
Body color is lime if the HTF close is higher than HTF open. Body color is orange if the HTF close is lower than the HTF open.
Wick and border color is lime if HTF close price is higher than previous HTF close price. And they are orange if HTF close price is lower than the previous HTF close price
In most cases body color will be same as the wick color. In case of stocks and indices, it may happen that the open price is too far away from previous close price due to gaps. This can lead to close price being relatively in different direction when compared to open and previous close.
Wicks are not at the centre of the candle. Instead wicks are drawn on the current chart timeframe position where the current timeframe has reached the highest or lowest point within the given HTF candle
Candles also list OHLC price of HTF candle along with HTF bar index and the range of LTF bar index that the candle spawns
Here are some pictorial representations that can help understand better.
Here are the examples of candles with gaps where body and wick/border are in different directions (colours)
🎯 Indicator Settings
Simple settings allow users to select the timeframe, whether to display candles and plots and their specific colors.
🎯 Possible inconsistencies
The overlay can show inconsistent data in certain situations. Here are some of the scenarios where the indicator may not show consistent display of the data.
When the HTF data from request.security does not match that of combined LTF data . In such cases, HTF candles may not form inline with the current timeframe candles. This happens when there is a data issue of different OHLC data available in tradingview.
When using weekly candle as either chart timeframe or higher timeframe - end of week may not coincide with end of month or other timeframes. This can cause some inconsistencies in the visuals of the indicator.
When open and close time of either LTF or HTF falls under different day due to time zone used. - time is always the time on which the candle close. So, when we use time zone that causes the exchange day to open and close on different days, that can cause some inconsistencies in the candles being drawn.
Stage Market V4This script provides a comprehensive tool for identifying market stages based on exponential moving averages (EMAs), market performance metrics, and additional price statistics. Below is a summary of its functionality and instructions on how to use it:
1. Inputs and Configuration
Fast and Slow EMA:
Fast EMA Length: Determines the period for the fast EMA.
Slow EMA Length: Determines the period for the slow EMA.
Additional EMAs:
Enable or disable three additional EMAs (EMA 1, EMA 2, and EMA 3) with customizable lengths.
52-Week High Display:
Optionally display the percentage distance from the 52-week high.
2. Market Stages
The indicator identifies six market stages based on the relationship between the price, fast EMA, and slow EMA:
Recovery: Price is above the fast EMA, and the slow EMA is above both the price and the fast EMA.
Accumulation: Price is above both the fast EMA and slow EMA, but the slow EMA is still above the fast EMA.
Bull Market: Price, fast EMA, and slow EMA are all aligned in a rising trend.
Warning: Price is below the fast EMA, but still above the slow EMA, signaling potential weakness.
Distribution: Price is below both EMAs, but the slow EMA remains below the fast EMA.
Bear Market: Price, fast EMA, and slow EMA are all aligned in a falling trend.
The current stage is displayed in a table along with the number of bars spent in that stage.
3. Performance Metrics
The script calculates additional metrics to gauge the stock's performance:
30-Day Change: The percentage price change over the last 30 days.
90-Day Change: The percentage price change over the last 90 days.
Year-to-Date (YTD) Change: The percentage change from the year's first closing price.
Distance from 52-Week High (if enabled): The percentage difference between the current price and the highest price over the past 52 weeks.
These values are color-coded:
Green for positive changes.
Red for negative changes.
4. Table Display
The indicator uses a table in the bottom-right corner of the chart to show:
Current market stage and bars spent in the stage.
30-day, 90-day, and YTD changes.
Distance from the 52-week high (if enabled).
5. EMA Plotting
The script plots the following EMAs on the chart:
Fast EMA (default: 50-period) in yellow.
Slow EMA (default: 200-period) in orange.
Optional EMAs (EMA 1, EMA 2, and EMA 3) in blue, green, and purple, respectively.
6. Using the Indicator
Add the indicator to your chart via the Pine Editor in TradingView.
Customize the input parameters to fit your trading style or the asset's characteristics.
Use the table to quickly assess the current market stage and key performance metrics.
Observe the plotted EMAs to understand trend alignments and potential crossovers.
This script is particularly useful for identifying market trends, understanding price momentum, and aligning trading decisions with broader market conditions.
Combined VolumeThis indicator displays the combined volume for all the exchanges listed in the settings menu.
For example, with the default settings, on BTCUSD the indicator will display the current market's volume AND the volume of all other major exchanges listed on TradingView.
The gray indicator value is the current exchange's volume, the colored volume is the combined volume of all other exchanges, allowing you to compare the current exchange's volume to the broad market to give you a better idea of local exchange activity versus broad market activity.
If you want to add more exchange tickers, turn "debug" mode on and a small label will appear in the top right telling you which market type & exchange ticker you're currently on. All exchange tickers must be separated by a comma.
The "Other Exchanges" input setting overrides all other lists allowing you to specify your own exchange list for assets not provided by the default settings (the indicator supports crypto, forex and stocks by default).
