ToxicJ3ster - Day Trading SignalsThis Pine Script™ indicator, "ToxicJ3ster - Signals for Day Trading," is designed to assist traders in identifying key trading signals for day trading. It employs a combination of Moving Averages, RSI, Volume, ATR, ADX, Bollinger Bands, and VWAP to generate buy and sell signals. The script also incorporates multiple timeframe analysis to enhance signal accuracy. It is optimized for use on the 5-minute chart.
Purpose:
This script uniquely combines various technical indicators to create a comprehensive and reliable day trading strategy. Each indicator serves a specific purpose, and their integration is designed to provide multiple layers of confirmation for trading signals, reducing false signals and increasing trading accuracy.
1. Moving Averages: These are used to identify the overall trend direction. By calculating short and long period Moving Averages, the script can detect bullish and bearish crossovers, which are key signals for entering and exiting trades.
2. RSI Filtering: The Relative Strength Index (RSI) helps filter signals by ensuring trades are only taken in favorable market conditions. It detects overbought and oversold levels and trends within the RSI to confirm market momentum.
3. Volume and ATR Conditions: Volume and ATR multipliers are used to identify significant market activity. The script checks for volume spikes and volatility to confirm the strength of trends and avoid false signals.
4. ADX Filtering: The ADX is used to confirm the strength of a trend. By filtering out weak trends, the script focuses on strong and reliable signals, enhancing the accuracy of trade entries and exits.
5. Bollinger Bands: Bollinger Bands provide additional context for the trend and help identify potential reversal points. The script uses Bollinger Bands to avoid false signals and ensure trades are taken in trending markets.
6. Higher Timeframe Analysis: This feature ensures that signals align with broader market trends by using higher timeframe Moving Averages for trend confirmation. It adds a layer of robustness to the signals generated on the 5-minute chart.
7. VWAP Integration: VWAP is used for intraday trading signals. By calculating the VWAP and generating buy and sell signals based on its crossover with the price, the script provides additional confirmation for trade entries.
8. MACD Analysis: The MACD line, signal line, and histogram are calculated to generate additional buy/sell signals. The MACD is used to detect changes in the strength, direction, momentum, and duration of a trend.
9. Alert System: Custom alerts are integrated to notify traders of potential trading opportunities based on the signals generated by the script.
How It Works:
- Trend Detection: The script calculates short and long period Moving Averages and identifies bullish and bearish crossovers to determine the trend direction.
- Signal Filtering: RSI, Volume, ATR, and ADX are used to filter and confirm signals, ensuring trades are taken in strong and favorable market conditions.
- Multiple Timeframe Analysis: The script uses higher timeframe Moving Averages to confirm trends, aligning signals with broader market movements.
- Additional Confirmations: VWAP, MACD, and Bollinger Bands provide multiple layers of confirmation for buy and sell signals, enhancing the reliability of the trading strategy.
Usage:
- Customize the input parameters to suit your trading strategy and preferences.
- Monitor the generated signals and alerts to make informed trading decisions.
- This script is made to work best on the 5-minute chart.
Disclaimer:
This indicator is not perfect and can generate false signals. It is up to the trader to determine how they would like to proceed with their trades. Always conduct thorough research and consider seeking advice from a financial professional before making trading decisions. Use this script at your own risk.
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Kernel SwitchThe indicator uses different kernel regression functions and filters to analyze and smooth the price data. It incorporates various technical analysis features like moving averages, ATR-based channels, and the Kalman filter to generate buy and sell signals. The purpose of this indicator is to help traders identify trends, reversals, and potential trade entry and exit points.
Key Components and Functionalities:
Kernel and Filter Selection:
Kernel: Options include RationalQuadratic, Gaussian, Periodic, and LocallyPeriodic.
Filter: Options include No Filter, Smooth, and Zero Lag.
Source: The source data for the calculations (default is close).
Lookback Period: The lookback period for the kernel calculations.
Relative Weight: Used for RationalQuadratic kernel.
Start at Bar: The starting bar index for the calculations.
Period: Used for Periodic and LocallyPeriodic kernels.
Additional Calculations:
Multiplier: Option to apply a multiplier to the kernel output.
Smoothing: Option to apply EMA smoothing to the kernel output.
Kalman Filter: Option to apply a Kalman filter to the smoothed output.
ATR Length: The length of the ATR used for calculating upper and lower bands.
Kernel Regression:
The code uses a switch statement to select and apply the chosen kernel function with the specified parameters.
Kalman Filter:
A custom function to apply a Kalman filter to the kernel output, providing additional smoothing and trend estimation.
ATR-based Channels:
Upper and lower bands are calculated using the kernel output and ATR, adjusted by a multiplier.
Buy/Sell Signals:
Buy signals are generated when the kernel output crosses above its previous value.
Sell signals are generated when the kernel output crosses below its previous value.
Plotting:
The main kernel output is plotted with color changes based on its direction (green for up, red for down).
Upper and lower bands are plotted based on the ATR-adjusted kernel output.
Buy and sell signals are marked on the chart with labels.
Additional markers are plotted when the high crosses above the upper band and the low crosses below the lower band.
Usage:
This indicator is used to analyze and smooth price data using various kernel regression functions and filters. It helps traders identify trends and potential reversal points, providing visual signals for buy and sell opportunities. By incorporating ATR-based channels and the Kalman filter, the indicator offers additional insights into price movements and volatility. Traders can customize the parameters to fit their specific trading strategies and preferences.
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
20-day High BreakoutOverview:
The 20-day High Breakout Indicator is a very simple yet powerful tool designed for traders seeking to capitalize on significant price movements in the stock market. This indicator identifies potential buy and sell signals based on a stock's 20-day high breakout levels, making it an essential addition to your trading strategy.
Key Features:
Swing Period Input: Customize the swing period to your preferred number of days, with a default of 20 days, allowing flexibility based on your trading style.
Trailing Stop Level: Automatically calculates the trailing stop level based on the highest high and lowest low within the defined swing period, helping to manage risk and lock in profits.
Buy and Sell Signals: Generates clear buy signals when the price crosses above the trailing stop level and sell signals when the price crosses below, enabling timely entries and exits.
Visual Indicators: Plots buy signals as green upward triangles below the bars and sell signals as red downward triangles above the bars, providing easy-to-interpret visual cues directly on the chart.
How It Works:
Resistance and Support Levels: The indicator calculates the highest high (resistance) and lowest low (support) over the defined swing period.
Swing Direction: It determines the market direction by comparing the current closing price to the previous resistance and support levels.
Trailing Stop Calculation: Depending on the market direction, the trailing stop level is set to either the support or resistance level.
Signal Generation: Buy and sell signals are generated based on the crossover of the closing price and the trailing stop level, filtered to ensure only valid signals are displayed.
Visual Representation: The trailing stop level is plotted as a line, and buy/sell signals are marked with respective shapes for easy identification.
Usage:
Trend Following: Ideal for traders looking to follow trends and catch significant breakouts in the stock price.
Risk Management: Helps in managing risk by providing a trailing stop level that adjusts with market movements.
Visual Clarity: The clear visual signals make it easy for traders to interpret and act upon the indicator's signals.
Add the 20-day High Breakout Indicator to your TradingView charts to enhance your trading strategy and gain an edge in identifying profitable trading opportunities.
KillZones + ACD Fisher [TradingFinder] Sessions + Reversal Level🔵 Introduction
🟣 ACD Method
"The Logical Trader" opens with a thorough exploration of the ACD Methodology, which focuses on pinpointing particular price levels associated with the opening range.
This approach enables traders to establish reference points for their trades, using "A" and "C" points as entry markers. Additionally, the book covers the concept of the "Pivot Range" and how integrating it with the ACD method can help maximize position size while minimizing risk.
🟣 Session
The forex market is operational 24 hours a day, five days a week, closing only on Saturdays and Sundays. Typically, traders prefer to concentrate on one specific forex trading session rather than attempting to trade around the clock.
Trading sessions are defined time periods when a particular financial market is active, allowing for the execution of trades.
The most crucial trading sessions within the 24-hour cycle are the Asia, London, and New York sessions, as these are when substantial money flows and liquidity enter the market.
🟣 Kill Zone
Traders in financial markets earn profits by capitalizing on the difference between their buy/sell prices and the prevailing market prices.
Traders vary in their trading timelines.Some traders engage in daily or even hourly trading, necessitating activity during periods with optimal trading volumes and notable price movements.
Kill zones refer to parts of a session characterized by higher trading volumes and increased price volatility compared to the rest of the session.
🔵 How to Use
🟣 Session Times
The "Asia Session" comprises two parts: "Sydney" and "Tokyo." This session begins at 23:00 and ends at 06:00 UTC. The "Asia KillZone" starts at 23:00 and ends at 03:55 UTC.
The "London Session" includes "Frankfurt" and "London," starting at 07:00 and ending at 14:25 UTC. The "London KillZone" runs from 07:00 to 09:55 UTC.
The "New York" session starts at 14:30 and ends at 19:25 UTC, with the "New York am KillZone" beginning at 14:30 and ending at 22:55 UTC.
🟣 ACD Methodology
The ACD strategy is versatile, applicable to various markets such as stocks, commodities, and forex, providing clear buy and sell signals to set price targets and stop losses.
This strategy operates on the premise that the opening range of trades holds statistical significance daily, suggesting that initial market movements impact the market's behavior throughout the day.
Known as a breakout strategy, the ACD method thrives in volatile or strongly trending markets like crude oil and stocks.
Some key rules for employing the ACD strategy include :
Utilize points A and C as critical reference points, continually monitoring these during trades as they act as entry and exit markers.
Analyze daily and multi-day pivot ranges to understand market trends. Prices above the pivots indicate an upward trend, while prices below signal a downward trend.
In forex trading, the ACD strategy can be implemented using the ACD indicator, a technical tool that gauges the market's supply and demand balance. By evaluating trading volume and price, this indicator assists traders in identifying trend strength and optimal entry and exit points.
To effectively use the ACD indicator, consider the following :
Identifying robust trends: The ACD indicator can help pinpoint strong, consistent market trends.
Determining entry and exit points: ACD generates buy and sell signals to optimize trade timing.
Bullish Setup :
When the "A up" line is breached, it’s wise to wait briefly to confirm it’s not a "Fake Breakout" and that the price stabilizes above this line.
Upon entering the trade, the most effective stop loss is positioned below the "A down" line. It's advisable to backtest this to ensure the best outcomes. The recommended reward-to-risk ratio for this strategy is 1, which should also be verified through backtesting.
Bearish Setup :
When the "A down" line is breached, it’s prudent to wait briefly to ensure it’s not a "Fake Breakout" and that the price stabilizes below this line.
Upon entering the trade, the most effective stop loss is positioned above the "A up" line. Backtesting is recommended to confirm the best results. The recommended reward-to-risk ratio for this strategy is 1, which should also be validated through backtesting.
Advantages of Combining Kill Zone and ACD Method in Market Analysis :
Precise Trade Timing : Integrating the Kill Zone strategy with the ACD Method enhances precision in trade entries and exits. The ACD Method identifies key points for trading, while the Kill Zone focuses on high-activity periods, together ensuring optimal timing for trades.
Better Trend Identification : The ACD Method’s pivot ranges help spot market trends, and when combined with the Kill Zone’s emphasis on periods of significant price movement, traders can more effectively identify and follow strong market trends.
Maximized Profits and Minimized Risks : The ACD Method's structured approach to setting price targets and stop losses, coupled with the Kill Zone's high-volume trading periods, helps maximize profit potential while reducing risk.
Robust Risk Management : Combining these methods provides a comprehensive risk management strategy, strategically placing stop losses and protecting capital during volatile periods.
Versatility Across Markets : Both methods are applicable to various markets, including stocks, commodities, and forex, offering flexibility and adaptability in different trading environments.
Enhanced Confidence : Using the combined insights of the Kill Zone and ACD Method, traders gain confidence in their decision-making process, reducing emotional trading and improving consistency.
By merging the Kill Zone’s focus on trading volumes and the ACD Method’s structured breakout strategy, traders benefit from a synergistic approach that enhances precision, trend identification, and risk management across multiple markets.
ADX and SADX, SDIThe indicator aims to analyze and visualize the Average Directional Index (ADX) and its smoothed versions, along with directional indicators (DI) to help traders identify trend strength and potential buy/sell signals.
Indicator Settings:
The indicator is named "ADX and SADX, SDI" and is set to display prices with a precision of 2 decimal places.
Users can customize the ADX smoothing length, DI length, ADX smoothing period, and DI smoothing period through input variables.
Directional Movement (DM) Calculation:
The function dirmov calculates the positive and negative directional movements (DM) and the smoothed values of the positive directional index (DI+) and negative directional index (DI-).
This is done using the average true range (ATR) to normalize the DM values.
Average Directional Index (ADX) Calculation:
The function adx calculates the ADX, which measures the strength of a trend.
It uses the DI+ and DI- values to compute the ADX value.
Smoothed ADX and DI Calculation:
The ADX values are further smoothed using a simple moving average (SMA).
The DI difference is also smoothed and used to determine the trend direction.
Buy and Sell Signals:
A buy signal is generated when the DI+ crosses above DI- and the smoothed DI difference is increasing.
A sell signal is generated when the DI- crosses above DI+ and the smoothed DI difference is decreasing.
Plotting:
The ADX, smoothed ADX, smoothed DI difference (SPM), DI+, and DI- values are plotted on the chart.
Horizontal lines are drawn to indicate threshold levels (e.g., level 22).
Background and bar colors change based on buy (lime) and sell (maroon) signals to visually indicate these conditions.
Purpose of the Code:
This Pine Script code is used to create a custom indicator on TradingView that helps traders identify the strength and direction of a trend. The Average Directional Index (ADX) is used to measure trend strength, while the Directional Indicators (DI+ and DI-) are used to determine the direction of the trend. The smoothed versions of these indicators (SADX and SDI) provide additional confirmation and smoothing to reduce noise and false signals. Traders can use the buy and sell signals generated by this indicator to make informed trading decisions based on the trend strength and direction.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
MA MACD BB BackTesterOverview:
This Pine Script™ code provides a comprehensive backtesting tool that combines Moving Average (MA), Moving Average Convergence Divergence (MACD), and Bollinger Bands (BB). It is designed to help traders analyze market trends and make informed trading decisions by testing various strategies over historical data.
Key Features:
1. Customizable Indicators:
Moving Average (MA): Smooths out price data for clearer trend direction.
MACD: Measures trend momentum through MACD Line, Signal Line, and Histogram.
Bollinger Bands (BB): Identifies overbought or oversold conditions with upper and lower bands.
2. Flexible Trading Direction: Choose between long or short positions to adapt to different market conditions.
3. Risk Management: Efficiently allocate your capital with customizable position sizes.
4. Signal Generation:
Buy Signals: Triggered by crossovers for MACD, MA, and BB.
Sell Signals: Triggered by crossunders for MACD, MA, and BB.
5. Automated Trading: Automatically enter and exit trades based on signal conditions and strategy parameters.
How It Works:
1. Indicator Selection: Select your preferred indicator (MA, MACD, BB) and trading direction (Long/Short).
2. Risk Management Configuration: Set the percentage of capital to allocate per position to manage risk effectively.
3.Signal Detection: The algorithm identifies and plots buy/sell signals directly on the chart based on the chosen indicator.
4. Trade Execution: The strategy automatically enters and exits trades based on signal conditions and configured strategy parameters.
Use Cases:
- Backtesting: Evaluate the effectiveness of trading strategies using historical data to understand potential performance.
- Strategy Development: Customize and expand the strategy to incorporate additional indicators or conditions to fit specific trading styles.
ADDONS That Affect Strategy:
1. Indicator Parameters:
Adjustments to the settings of MACD (e.g., fast length, slow length), MA (e.g., length), and BB (e.g., length, multiplier) will directly impact the detection of signals and the strategy's performance.
2. Trading Direction:
Changing the trading direction (Long/Short) will alter the entry and exit conditions based on the detected signals.
3. Risk Management Settings:
Modifying the position size percentage affects capital allocation and overall risk exposure per trade.
ADDONS That Do Not Affect Strategy:
1. Visual Customizations:
Changes to the color, shape, and style of the plotted lines and signals do not impact the core functionality of the strategy but enhance visual clarity.
2. Text and Labels:
Modifying text labels for the signals (such as renaming "Buy MACD" to "MACD Buy Signal") is purely cosmetic and does not influence the strategy’s logic or outcomes.
Notes:
- Customization: The indicator is highly customizable to fit various trading styles and market conditions.
- Risk Management: Adjust position sizes and risk parameters according to your risk tolerance and account size.
- Optimization: Regularly backtest and optimize parameters to adapt to changing market dynamics for better performance.
Getting Started:
-Add the script to your chart.
-Adjust the input parameters to suit your analysis preferences.
-Observe the marked buy and sell signals on your chart to make informed trading decisions.
Statistical RSI Pivot Reversal Indicator [UAlgo]🔶 Idea
The "Statistical RSI Pivot Reversal Indicator " is designed to enhance traditional RSI analysis by incorporating statistical methods to identify potential reversal points more accurately. The core concept is to detect frequently occurring pivot points in the RSI data, which can indicate strong support or resistance levels. By analyzing the most frequent RSI values at these pivots, the script provides traders with clearer signals for potential market reversals, helping to improve the timing of entry and exit points in their trading strategies.
🔶 Key Features
Enhanced RSI Analysis:
This script calculates the Relative Strength Index (RSI) based on user-defined parameters and identifies pivot points in the RSI data. By analyzing these pivots, it detects the most frequently occurring RSI values at support and resistance levels.
Signal Filtering Options:
Filter buy and sell signals based on whether the RSI is in overbought (above 70) or oversold (below 30) conditions, enhancing the reliability of signals.
Visual and Alert Features:
Visual Signals: The script plots the RSI, the most frequent high and low RSI values, and buy/sell signals on the chart.
Alerts: Set up custom alerts for buy and sell conditions, ensuring you never miss a trading opportunity.
🔶 Disclaimer
The "Statistical RSI Pivot Reversal Indicator " script is intended for educational and informational purposes only.
It does not constitute financial advice or investment recommendations.
Trading financial instruments involves risk, and it is possible to lose more than your initial investment. Past performance is not indicative of future results.
Median Momentum with Buy/Sell Signals and Bar ColorMomentum Calculation:
Momentum is calculated as the difference between the current close price and the close price momentum_length periods ago: momentum = close - close .
Highest and Lowest Momentum:
The highest and lowest momentum values over the specified length are calculated.
Median Momentum:
The median momentum is calculated as the average of the highest and lowest momentum values.
Color Setting:
medianColor is set based on whether the momentum is above, below, or equal to the median momentum.
barColor is set similarly for bar coloring.
Plotting:
The script plots the median momentum and the actual momentum values.
Buy and sell signals are generated when momentum crosses over or under the median momentum.
The script also plots the buy and sell signals with arrows on the chart.
VolCorrBeta [NariCapitalTrading]Indicator Overview: VolCorrBeta
The VolCorrBeta indicator is designed to analyze and interpret intermarket relationships. This indicator combines volatility, correlation, and beta calculations to provide a comprehensive view of how certain assets (BTC, DXY, CL) influence the ES futures contract (I tailored this indicator to the ES contract, but it will work for any symbol).
Functionality
Input Symbols
BTCUSD : Bitcoin to USD
DXY : US Dollar Index
CL1! : Crude Oil Futures
ES1! : S&P 500 Futures
These symbols can be customized according to user preferences. The main focus of the indicator is to analyze how the price movements of these assets correlate with and lead the price movements of the ES futures contract.
Parameters for Calculation
Correlation Length : Number of periods for calculating the correlation.
Standard Deviation Length : Number of periods for calculating the standard deviation.
Lookback Period for Beta : Number of periods for calculating beta.
Volatility Filter Length : Length of the volatility filter.
Volatility Threshold : Threshold for adjusting the lookback period based on volatility.
Key Calculations
Returns Calculation : Computes the daily returns for each input symbol.
Correlation Calculation : Computes the correlation between each input symbol's returns and the ES futures contract returns over the specified correlation length.
Standard Deviation Calculation : Computes the standard deviation for each input symbol's returns and the ES futures contract returns.
Beta Calculation : Computes the beta for each input symbol relative to the ES futures contract.
Weighted Returns Calculation : Computes the weighted returns based on the calculated betas.
Lead-Lag Indicator : Calculates a lead-lag indicator by averaging the weighted returns.
Volatility Filter : Smooths the lead-lag indicator using a simple moving average.
Price Target Estimation : Estimates the ES price target based on the lead-lag indicator (the yellow line on the chart).
Dynamic Stop Loss (SL) and Take Profit (TP) Levels : Calculates dynamic SL and TP levels using volatility bands.
Signal Generation
The indicator generates buy and sell signals based on the filtered lead-lag indicator and confirms them using higher timeframe analysis. Signals are debounced to reduce frequency, ensuring that only significant signals are considered.
Visualization
Background Coloring : The background color changes based on the buy and sell signals for easy visualization (user can toggle this on/off).
Signal Labels : Labels with arrows are plotted on the chart, showing the signal type (buy/sell), the entry price, TP, and SL levels.
Estimated ES Price Target : The estimated price target for ES futures is plotted on the chart.
Correlation and Beta Dashboard : A table displayed in the top right corner shows the current correlation and beta values for relative to the ES futures contract.
Customization
Traders can customize the following parameters to tailor the indicator to their specific needs:
Input Symbols : Change the symbols for BTC, DXY, CL, and ES.
Correlation Length : Adjust the number of periods used for calculating correlation.
Standard Deviation Length : Adjust the number of periods used for calculating standard deviation.
Lookback Period for Beta : Change the lookback period for calculating beta.
Volatility Filter Length : Modify the length of the volatility filter.
Volatility Threshold : Set a threshold for adjusting the lookback period based on volatility.
Plotting Options : Customize the colors and line widths of the plotted elements.
SMA DMA Crossing SignalSMA and DMA Crossing Buy Sell Signals
This script implements a Double Moving Average (DMA) strategy, a popular technical analysis technique used by traders to identify trends and potential buy/sell signals in financial markets.
**Description:**
The Double Moving Average strategy involves the calculation of two moving averages – a short-term moving average and a long-term moving average. In this script, we calculate these moving averages as follows:
1. **Short-term DMA (`dmaShort`):**
- Calculated using a 28-bar Simple Moving Average (SMA).
- Represents the shorter-term trend in the price movement.
2. **Long-term DMA (`dmaLong`):**
- Also calculated using a 28-bar SMA.
- Displaced backward by 14 bars (`dmaLong := request.security(syminfo.tickerid, "D", dmaLong )`), effectively creating a 28-bar SMA with a -14 bar displacement.
- Represents the longer-term trend in the price movement.
**Signals:**
Buy and sell signals are generated based on the crossing of the short-term DMA over or under the long-term DMA:
- **Buy Signal (`DMA BUY`):** Occurs when the short-term DMA crosses above the long-term DMA (`dmaBuySignal`).
- **Sell Signal (`DMA SELL`):** Occurs when the short-term DMA crosses below the long-term DMA (`dmaSellSignal`).
**How to Use:**
- **Buy Signal:** Consider entering a long position when the short-term DMA crosses above the long-term DMA, indicating a potential uptrend.
- **Sell Signal:** Consider exiting a long position or entering a short position when the short-term DMA crosses below the long-term DMA, indicating a potential downtrend.
This script provides a visual representation of the DMA crossover signals on the chart, helping traders identify potential entry and exit points in the market.
**Note:** It's important to combine DMA signals with other technical analysis tools and risk management strategies for informed trading decisions.
All comments are welcome..
Khaled Tamim's Avellaneda-Stoikov StrategyDescription:
This strategy applies the Avellaneda-Stoikov (A-S) model to generate buy and sell signals for underlying assets based on option pricing theory. The A-S model estimates bid and ask quotes for options contracts considering factors like volatility (sigma), time to expiration (T), and risk aversion (gamma).
Key Concepts:
Avellaneda-Stoikov Model: A mathematical framework for option pricing that incorporates volatility, time decay, and risk tolerance.
Bid-Ask Quotes: The theoretical buy and sell prices for an option contract.
Inventory Management: The strategy tracks its long or short position based on signals.
How it Works:
A-S Model Calculation: The avellanedaStoikov function calculates bid and ask quotes using the underlying asset's closing price, user-defined parameters (gamma, sigma, T, k, and M), and a small fee (adjustable).
Signal Generation: The strategy generates long signals when the closing price falls below the adjusted bid quote and short signals when it exceeds the adjusted ask quote.
Trade Execution: Buy and sell orders are triggered based on the generated signals (long for buy, short for sell).
Inventory Tracking: The strategy's net profit reflects the current inventory level (long or short position).
Customization:
Gamma (γ): Controls risk aversion in the A-S model (higher values imply lower risk tolerance).
Sigma (σ): Represents the underlying asset's expected volatility.
T: Time to expiration for the hypothetical option (defaults to a short-term option).
k: A constant factor in the A-S model calculations.
M: Minimum price buffer for buy/sell signals (prevents excessive churn).
Important Note:
This strategy simulates option pricing behavior for a theoretical option and does not directly trade options contracts. Backtesting results may not reflect actual market conditions.
Further Considerations:
The 0.1% fee is a placeholder and may need adjustment based on real-world trading costs.
Consider using realistic timeframes for T (e.g., expiry for a real option)
Disclaimer: This strategy is for educational purposes only and does not constitute financial advice.
Median RSI**Description:**
The "Median RSI with Buy/Sell Signals and Bar Color" indicator on TradingView calculates the median Relative Strength Index (RSI) alongside buy and sell signals and customizable bar colors. RSI is a momentum oscillator that measures the speed and change of price movements. This indicator provides traders with insights into the relative strength of a security by comparing its recent gains to its recent losses.
**How it Works:**
1. **RSI Calculation:** The script computes the RSI using a specified length parameter. This RSI value indicates whether a security is overbought or oversold, helping traders identify potential reversal points.
2. **Median RSI Calculation:** It calculates the highest and lowest RSI values over a certain period and finds the median value. This median RSI acts as a benchmark, guiding traders in assessing the relative strength of a security compared to its recent performance.
3. **Bar Color Customization:** The script allows users to customize the bar color based on the relationship between the RSI and the median RSI. Bars are colored differently to visually represent whether the RSI is above, below, or equal to the median RSI. Additionally, the script highlights bars when they cross the median RSI, providing visual cues for potential shifts in market momentum.
**Benefits:**
- **RSI Insights:** Provides insights into the relative strength of a security by comparing its recent gains to its recent losses.
- **Buy/Sell Signals:** Generates buy and sell signals based on the RSI crossing above or below the median RSI, aiding traders in timing their trades.
- **Customizable Bar Colors:** Allows traders to customize bar colors based on the relationship between the RSI and the median RSI, facilitating quick visual analysis.
- **Visual Representation:** Visualizes the RSI median RSI, and bar color on the price chart for easy interpretation.
**Ideal Usage:**
- **Trend Confirmation:** Traders can use the indicator to confirm the direction of the trend before entering trades.
- **Reversal Signals:** Changes in RSI direction, indicated by crosses above or below the median RSI, can signal potential reversals in market momentum.
- **Combination with Other Indicators:** It can be used in conjunction with other technical indicators to enhance trading strategies, providing additional confirmation signals.
**Warnings:**
- **False Signals:** Like any technical indicator, false signals may occur, especially during periods of low volume or choppy market conditions. Additional analysis and risk management techniques should be used to avoid potential losses.
- **Parameter Sensitivity:** Traders should test different parameter settings and consider market conditions when using the indicator, as adjustments may affect its sensitivity to price movements.
By providing insights into RSI dynamics, and offering customizable bar colors, the "Median RSI with Buy/Sell Signals and Bar Color" indicator equips traders with valuable tools for technical analysis and decision-making in the financial markets.
Stochastic Z-Score Oscillator Strategy [TradeDots]The "Stochastic Z-Score Oscillator Strategy" represents an enhanced approach to the original "Buy Sell Strategy With Z-Score" trading strategy. Our upgraded Stochastic model incorporates an additional Stochastic Oscillator layer on top of the Z-Score statistical metrics, which bolsters the affirmation of potential price reversals.
We also revised our exit strategy to when the Z-Score revert to a level of zero. This amendment gives a much smaller drawdown, resulting in a better win-rate compared to the original version.
HOW DOES IT WORK
The strategy operates by calculating the Z-Score of the closing price for each candlestick. This allows us to evaluate how significantly the current price deviates from its typical volatility level.
The strategy first takes the scope of a rolling window, adjusted to the user's preference. This window is used to compute both the standard deviation and mean value. With these values, the strategic model finalizes the Z-Score. This determination is accomplished by subtracting the mean from the closing price and dividing the resulting value by the standard deviation.
Following this, the Stochastic Oscillator is utilized to affirm the Z-Score overbought and oversold indicators. This indicator operates within a 0 to 100 range, so a base adjustment to match the Z-Score scale is required. Post Stochastic Oscillator calculation, we recalibrate the figure to lie within the -4 to 4 range.
Finally, we compute the average of both the Stochastic Oscillator and Z-Score, signaling overpriced or underpriced conditions when the set threshold of positive or negative is breached.
APPLICATION
Firstly, it is better to identify a stable trading pair for this technique, such as two stocks with considerable correlation. This is to ensure conformance with the statistical model's assumption of a normal Gaussian distribution model. The ideal performance is theoretically situated within a sideways market devoid of skewness.
Following pair selection, the user should refine the span of the rolling window. A broader window smoothens the mean, more accurately capturing long-term market trends, while potentially enhancing volatility. This refinement results in fewer, yet precise trading signals.
Finally, the user must settle on an optimal Z-Score threshold, which essentially dictates the timing for buy/sell actions when the Z-Score exceeds with thresholds. A positive threshold signifies the price veering away from its mean, triggering a sell signal. Conversely, a negative threshold denotes the price falling below its mean, illustrating an underpriced condition that prompts a buy signal.
Within a normal distribution, a Z-Score of 1 records about 68% of occurrences centered at the mean, while a Z-Score of 2 captures approximately 95% of occurrences.
The 'cool down period' is essentially the number of bars that await before the next signal generation. This feature is employed to dodge the occurrence of multiple signals in a short period.
DEFAULT SETUP
The following is the default setup on EURAUD 1h timeframe
Rolling Window: 80
Z-Score Threshold: 2.8
Signal Cool Down Period: 5
Stochastic Length: 14
Stochastic Smooth Period: 7
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 40%
FURTHER IMPLICATION
The Stochastic Oscillator imparts minimal impact on the current strategy. As such, it may be beneficial to adjust the weightings between the Z-Score and Stochastic Oscillator values or the scale of Stochastic Oscillator to test different performance outcomes.
Alternative momentum indicators such as Keltner Channels or RSI could also serve as robust confirmations of overbought and oversold signals when used for verification.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
JK EMA-WMA ADX Strategy with RSI Reversals and Chandelier ExitThis Pine script is a comprehensive trading strategy indicator for TradingView that combines three different technical analysis techniques: the Modified EMA-WMA ADX Trading Strategy, RSI Reversals, and the Chandelier Exit strategy. Here's a breakdown of what the script does:
Inputs: The script starts by defining several user inputs that allow traders to customize various parameters such as the lengths for EMA, WMA, ADX, RSI, and Chandelier Exit calculations, as well as thresholds for ADX, bullish/bearish RSI levels, and visual options like showing labels and highlighting the current trading state.
EMA-WMA ADX Strategy: The script calculates the Exponential Moving Average (EMA), Weighted Moving Average (WMA), and Average Directional Index (ADX) using the user-defined input lengths. It then determines buy and sell signals based on the crossover/crossunder of the EMA and WMA, combined with conditions on the ADX value and its rising/falling state.
RSI Reversals: The Relative Strength Index (RSI) is calculated, and its slope is determined over a specified number of periods. Bullish and bearish reversals are identified based on the RSI crossing the user-defined bullish and bearish levels, combined with the slope condition.
Chandelier Exit: The script implements the Chandelier Exit strategy, which involves calculating an Average True Range (ATR) channel based on the highest high and lowest low over a specified period, multiplied by a user-defined multiplier. The channel lines are plotted, and buy/sell signals are generated when the price crosses these lines, indicating a potential trend change.
Plotting: The script plots the EMA, WMA, buy/sell signals for the EMA-WMA ADX strategy, bullish/bearish reversal signals for RSI, and the Chandelier Exit channel lines. It also includes options to show buy/sell labels and highlight the current trading state with colored areas.
Alerts: The script can generate alerts for various conditions, including Chandelier Exit direction changes, buy/sell signals for the Chandelier Exit, and combined buy/sell signals from the EMA-WMA ADX strategy.
Overall, this script aims to provide a comprehensive trading strategy by combining multiple technical analysis techniques and allowing traders to customize various parameters. It can be used as a standalone strategy or as a starting point for further customization and experimentation.
Yeong RRGThe code outlines a trading strategy that leverages Relative Strength (RS) and Rate of Change (RoC) to make trading decisions. Here's a detailed breakdown of the tactic described by the code:
Ticker and Period Selection: The strategy begins by selecting a stock ticker symbol and defining a period (len) for the calculations, which defaults to 14 but can be adjusted by the user.
Stock and Index Data Retrieval: It fetches the closing price (stock_close) of the chosen stock and calculates its 25-period exponential moving average (stock_ema). Additionally, it retrieves the closing price of the S&P 500 Index (index_close), used as a benchmark for calculating Relative Strength.
Relative Strength Calculation: The Relative Strength (rs) is computed by dividing the stock's closing price by the index's closing price, then multiplying by 100 to scale the result. This metric is used to assess the stock's performance relative to the broader market.
Moving RS Ratio and Rate of Change: The strategy calculates a Simple Moving Average (sma) of the RS over the specified period to get the RS Ratio (rs_ratio). It then computes the Rate of Change (roc) of this RS Ratio over the same period to get the RM Ratio (rm_ratio).
Normalization: The RS Ratio and RM Ratio are normalized using a formula that adjusts their values based on the mean and standard deviation of their respective series over the specified window. This normalization process helps in standardizing the indicators, making them easier to interpret and compare.
Indicator Plotting: The normalized RS Ratio (jdk_rs_ratio) and RM Ratio (jdk_rm_ratio) are plotted on the chart with different colors for visual analysis. A horizontal line (hline) at 100 serves as a reference point, indicating a neutral level for the indicators.
State Color Logic: The script includes a logic to determine the state color (statecolor) based on the previous state color and the current values of jdk_rs_ratio and jdk_rm_ratio. This color coding is intended to visually represent different market states: green for bullish, red for bearish, yellow for hold, and blue for watch conditions.
Signal Generation: The strategy generates buy, sell, hold, and watch signals based on the state color and the indicators' values relative to 100. For example, a buy signal is generated when both jdk_rs_ratio and jdk_rm_ratio are above 100, and the background color is set to green to reflect this bullish condition.
Trade Execution: Finally, the strategy executes trades based on the generated signals. A "BUY" trade is entered when a buy signal is present, and it is closed when a sell signal occurs.
Overall, the strategy uses a combination of RS and RoC indicators, normalized for better comparison, to identify potential buy and sell opportunities based on the stock's performance relative to the market and its momentum.
How to force strategies fire exit alerts not reversalsPineScript has gone a long way, from very simple and little-capable scripting language to a robust coding platform with reliable execution endpoints. However, this one small intuitivity glitch is still there and is likely to stay, because it is traditionally justified and quite intuitive for significant group of traders. I'm sharing this workaround in response to frequent inquiries about it.
What's the glitch? When setting alerts on strategies to be synchronized with TradingView's Strategy Tester events, using simple alert messages such as "buy" or "sell" based on entry direction seems straightforward by inserting {{strategy.order.action}} into the Create Alert's "Message" field. Because "buy" or "sell" are exactly the strings produced by {{strategy.order.action}} placeholder. However, complications arise when attempting to EXIT positions without reversing, whether triggered by price levels like Stop Loss or Take Profit, or logical conditions to close trades. Those bricks fall apart, because on such events {{strategy.order.action}} sends the same "sell" for exiting buy positions and "buy" for exiting sell positions, instead of something more differentiating like "closebuy" or "closesell". As a result reversal trades are opened, instead of simply closing the open ones.
This convention harkens back to traditional stock market practices, where traders either bought shares to enter positions or sold them to exit. However, modern trading encompasses diverse instruments like CFDs, indices, and Forex, alongside advanced features such as Stop Loss, reshaping the landscape. Despite these advancements, the traditional nomenclature persists.
And is poised to stay on TradingView as well, so we need a workaround to get a simple strategy going. Luckily it is here and is called alert_message . It is a parameter, which needs to be added into each strategy.entry() / strategy.exit() / strategy.close() function call - each call, which causes Strategy Tester to produce entry or exit orders. As in this example script:
line 12: strategy.entry(... alert_message ="buy")
line 14: strategy.entry(... alert_message ="sell")
line 19: strategy.exit(... alert_message ="closebuy")
line 20: strategy.exit(... alert_message ="closesell")
line 24: strategy.close(... alert_message ="closebuy")
line 26: strategy.close(... alert_message ="closesell")
These alert messages are compatible with the Alerts Syntax of TradingConnector - a tool facilitating auto-execution of TradingView alerts in MetaTrader 4 or 5. Yes, simple alert messages like "buy" / "sell" / "closebuy" / "closesell" suffice to carry the execution of simple strategy, without complex JSON files with multiple ids and such. Other parameters can be added (actually plenty), but they are only option and that's not a part of this story :)
Last thing left to do is to replace "Message" in Create Alert popup with {{strategy.order.alert_message}} . This placeholder transmits the string defined in the PineScript alert_message= parameter, as outlined in this publication. With this workaround, executing closing alerts becomes seamless within PineScript strategies on TradingView.
Disclaimer: this content is purely educational, especially please don't pay attention to backtest results on any timeframe/ticker.
Kzx | RSI + Div + MACDComponents Description:
Relative Strength Index (RSI):
Purpose: Measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
Implementation: The script allows users to set the length of the RSI calculation and defines overbought and oversold levels, which can be visually represented on the chart. Additional features include options to fill and/or color the background of the chart when overbought or oversold levels are reached.
Divergence (Div):
Purpose: Identifies instances where the price of an asset is moving in the opposite direction of a momentum indicator, such as the RSI in this script. Divergences can signal potential trend reversals.
Implementation: The script provides options for users to define the conditions under which divergences are identified, including the source of price tops/bottoms, detection limits, and the maximum lookback period for divergence analysis. It visually highlights these divergences on the chart.
Moving Average Convergence Divergence (MACD):
Purpose: Tracks the relationship between two moving averages of a security's price. The MACD is used to identify trend direction, momentum, and potential reversal points through crossovers.
Implementation: The script calculates the MACD line and its signal line. It plots buy or sell markers based on crossovers between these two lines, indicating potential entry or exit points.
Script Category:
Category: Technical Analysis / Indicators and Strategies
Subcategory: Oscillators (for RSI and MACD) and Trend Analysis (for Divergence)
Usage:
The script is designed for traders and analysts who rely on technical analysis to make informed decisions in the financial markets. By integrating RSI, divergence detection, and MACD analysis into a single script, users can gain a more nuanced understanding of market conditions, potentially improving their trading strategies.
Customization and Visualization:
Users can customize various parameters, including lengths for RSI and MACD, overbought/oversold levels, divergence detection criteria, and visual aspects like colors and marker sizes.
The script provides visual cues directly on the price chart, making it easy to spot potential buy/sell signals, overbought/oversold conditions, and divergences without the need to switch between different indicators.
Trend Signals with TP & SL [UAlgo]The "Trend Signals with TP & SL " indicator is a versatile tool designed to assist traders in identifying potential trend continuation opportunities within financial markets Utilizing a combination of technical indicators and user-defined parameters, this indicator aims to provide clear and actionable signals to aid traders in making informed trading decisions.
🔶 Features:
Trend Continuation Signals : The indicator generates signals to identify potential trend continuation points based on the input parameters such as sensitivity, ATR length, and cloud moving average length.
Take-Profit and Stop-Loss Levels: It calculates and plots three levels of take-profit (1R, 2R, 3R) and stop-loss levels based on the entry price of the trade.
Short Position Example:
Long Position Example:
Visualization: The script visualizes the trend signals, entry points, take-profit levels, and stop-loss levels on the price chart, making it easier for traders to interpret the signals.
Alert System: The indicator includes an alert system that notifies the user when there is a change in trend direction or when a buy/sell signal is generated. The alerts provide essential information such as entry price, take-profit levels, and stop-loss levels.
🔶 Calculations :
Trend Calculation: Trend signals are determined based on the comparison between the current closing price and the upper and lower bounds calculated using the Average True Range (ATR) multiplied by a sensitivity factor. A trend is considered bullish if the closing price is above the upper bound and bearish if it's below the lower bound.
Entry, Stop Loss, and Take Profit Calculation: Entry points for long and short positions are identified when there's a change in trend direction.
Stop-loss levels are calculated as a percentage of the entry price, where users can define the percentage based on their risk tolerance.
Take-profit levels are calculated as multiples of the stop-loss level (1R, 2R, 3R).
Cloud Moving Averages: Simple moving averages (SMAs) are calculated for high and low prices over a specified period to create a "cloud" visualization on the chart.
MACD Clouds: Moving Average Convergence Divergence (MACD) indicator is used to determine the market's momentum and trend direction. Positive and negative clouds are plotted based on the MACD line and its signal line, indicating potential bullish or bearish trends.
Signal Generation: Buy and sell signals are generated based on specific conditions such as RSI, CMO (Chande Momentum Oscillator), and pivot points.
Signals are triggered when certain criteria are met, indicating potential opportunities for entering or exiting trades.
🔶 Disclaimer:
Use at Your Own Risk: Trading involves significant risk, and this script is provided for educational and informational purposes only. It does not guarantee profitable trades, and users should exercise caution and perform their own analysis before making trading decisions.
Parameter Sensitivity: The effectiveness of the indicator may vary depending on the chosen parameters, market conditions, and timeframe. Users are encouraged to backtest the script thoroughly and adjust the parameters according to their trading preferences.
Not Financial Advice: The information provided by this script should not be considered as financial advice. Users are solely responsible for their trading decisions and should consult with a qualified financial advisor if needed.
Backtesting and Validation: Before implementing this indicator in live trading, users are strongly encouraged to conduct rigorous backtesting and validation to assess its performance under various market conditions. Past performance is not indicative of future results, and users should carefully evaluate the effectiveness of the indicator based on their individual trading preferences and risk tolerance.
Kshitij Malve - Relative Strength CustomPurpose: This indicator attempts to gauge the relative strength of a stock compared to a broader index (like the Nifty 50) and provide actionable buy, sell, or hold signals. It is designed to be used for shorter-term, intraday trading.
Key Features
Signal Focus: Generates color-coded visual cues to aid in decision-making:
Green: Indicates a potential buy signal
Red: Indicates a potential sell signal
Blue: Suggests maintaining the current position
Trend and Volatility: Combines:
The SuperTrend indicator to determine the underlying price trend (uptrend vs. downtrend).
Average True Range (ATR) to assess recent market volatility.
Strength Check: Incorporates the Relative Strength Index (RSI) to measure if the stock is overbought or oversold relative to the broader index.
Logic: (Note: This description assumes the logic you implemented – adapt if your conditions differ)
The indicator's core logic suggests:
Buy Signal: RSI oversold, market in an uptrend, increased volatility, and price above a short-term moving average.
Sell Signal: RSI overbought, market in a downtrend, increased volatility, and price below a short-term moving average.
How to Use
Add the indicator to a chart of the stock you want to analyze. It will appear in a separate pane below the price chart.
Customize input settings if desired (lengths of RSI, SuperTrend, etc.). Consider aligning these with your timeframe and the characteristics of the specific stock and index.
Observation: Look for green (buy), red (sell), and blue (hold) signals.
Important Notes
Confirmation Tool: This indicator works best in conjunction with other forms of technical and fundamental analysis for a comprehensive trading strategy.
Market-Specific: The underlying logic may need to be tailored further for specific stock and index combinations to provide the most reliable signals.
Disclaimer: Financial markets are risky. Thoroughly backtest and understand the risk profile of any strategy relying on this indicator before using real capital.
Zigzag Fibonacci Golden Zone [UAlgo]🔶 Description:
The "Zigzag Fibonacci Golden Zone" aims to identify potential trend pullback points by utilizing a combination of zigzag patterns and Fibonacci "Golden Zone (0.618 - 0.786)" retracement levels. It plots zigzag lines on the price chart, highlighting significant swing highs and swing lows, and overlays Fibonacci retracement levels to indicate potential support and resistance zones. Additionally, it provides options to display buy and sell signals based on specific criteria.
🔶 Key Features:
Zigzag Lines: The indicator plots zigzag lines on the price chart, marking significant swing highs and swing lows. These lines help traders visualize the direction and magnitude of price swings.
Fibonacci Retracement Levels: The indicator overlays Fibonacci retracement levels on the chart, indicating potential support and resistance levels. These levels are derived from the Fibonacci sequence and are commonly used by traders to identify reversal points.
Fibonacci occurs again when a new zigzag low or high is created :
Before new zigzag low pivot appears,
After new Zigzag low pivot appears,
As you see new fibonacci created after new pivot found also price bounced from retracement zone.
Customization Options: Traders can customize various parameters of the indicator, such as the length of the zigzag pattern, color preferences for different elements, and visibility of price labels and buy/sell signals.
Buy/Sell Signals: The indicator generates buy and sell signals based on predefined criteria, such as price movements relative to Fibonacci levels and other market conditions. These signals can help traders identify potential entry and exit points in the market.
Example :
Disclaimer :
Please note that trading involves significant risk, and past performance is not indicative of future results. The "Zigzag Fibonacci Golden Zone" indicator is provided for informational purposes only and should not be considered financial advice. Traders should conduct their own research and analysis before making any investment decisions. Additionally, the indicator's performance may vary depending on market conditions and other factors. Users are encouraged to use the indicator as part of a comprehensive trading strategy and to exercise caution when trading in the financial markets.
ORB Algo | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ORB Algo indicator! ORB stands for "Opening Range Breakout" which is a common trading strategy. The indicator can analyze the market trend in the current session and give "Buy / Sell", "Take Profit" and "Stop Loss" signals. For more information about the analyzing process of the indicator, you can read "How Does It Work ?" section of the description.
Features of the new ORB Algo indicator :
Buy & Sell Signals
Up To 3 Take Profit Signals
Stop-Loss Signals
Alerts for Buy / Sell, Take-Profit and Stop-Loss
Customizable Algoritm
Session Dashboard
Backtesting Dashboard
📌 HOW DOES IT WORK ?
This indicator works best in 1-minute timeframe. The idea is that the trend of the current session can be forecasted by analyzing the market for a while after the session starts. However, each market has it's own dynamics and the algorithm will need fine-tuning to get the best performance possible. So, we've implemented a "Backtesting Dashboard" that shows the past performance of the algorithm in the current ticker with your current settings. Always keep in mind that past performance does not guarantee future results.
Here are the steps of the algorithm explained briefly :
1. The algorithm follows and analyzes the first 30 minutes (can be adjusted) of the session.
2. Then, algorithm checks for breakouts of the opening range's high or low.
3. If a breakout happens in a bullish or a bearish direction, the algorithm will now check for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered as reliable.
4. If the breakout is reliable, the algorithm will give an entry signal.
5. After the position entry, algorithm will now wait for Take-Profit or Stop-Loss zones and signal if any of them occur.
If you wonder how does the indicator find Take-Profit & Stop-Loss zones, you can check the "Settings" section of the description.
🚩UNIQUENESS
While there are indicators that show the opening range of the session, they come short with features like indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware of that different stock markets have different dynamics, and tuning the algorithm for different markets is really important for better results, so we decided to make the algorithm fully customizable. Besides all that, our indicator contains a detailed backtesting dashboard, so you can see past performance of the algorithm in the current ticker. While past performance does not yield any guarantee for future results, we believe that a backtesting dashboard is necessary for tuning the algorithm. Another strength of this indicator is that there are multiple options for detection of Take-Profit and Stop-Loss zones, which the trader can select one of their liking.
⚙️SETTINGS
Keep in mind that best chart timeframe for this indicator to work is the 1-minute timeframe.
TP = Take-Profit
SL = Stop-Loss
EMA = Exponential Moving Average
OR = Opening Range
ATR = Average True Range
1. Algorithm
ORB Timeframe -> This setting determines the timeframe that the algorithm will analyze the market after a new session begins before giving any signals. It's important to experiment with this setting and find the best option that suits the current ticker for the best performance. More volatile stocks will often require this setting to be larger, while more stabilized stocks may have this setting shorter.
Sensitivity -> This setting determines how much failed retests are needed to take a position entry. Higher senstivity means that less retests are needed to consider the breakout as reliable. If you think that the current ticker makes strong movements in a bullish & bearish direction after a breakout, you should set this setting higher. If you think the opposite, meaning that the ticker does not decide the trend right after a breakout, this setting show be lower.
(High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests)
Breakout Condition -> The condition for the algorithm to detect breakouts.
Close = Bar needs to close higher than the OR High Line in a bullish breakout, or lower than the OR Low Line in a bearish breakout. EMA = The EMA of the bar must be higher / lower than OR Lines instead of the close price.
TP Method -> The method for the algorithm to use when determining TP zones.
Dynamic = This TP method essentially tries to find the bar that price starts declining the current trend and going to the other direction, and puts a TP zone there. To achieve this, it uses an EMA line, and when the close price of a bar crosses the EMA line, It's a TP spot.
ATR = In this TP method, instead of a dynamic approach the TP zones are pre-determined using the ATR of the entry bar. This option is generally for traders who just want to know their TP spots beforehand while trading. Selecting this option will also show TP zones at the ORB Dashboard.
"Dynamic" option generally performs better, while the "ATR" method is safer to use.
EMA Length -> This setting determines the length of the EMA line used in "Dynamic TP method" and "EMA Breakout Condition". This is completely up to the trader's choice, though the default option should generally perform well. You might want to experiment with this setting and find the optimal length for the current ticker.
Stop-Loss -> Algorithm will place the Stop-Loss zone using setting.
Safer = The SL zone will be placed closer to the OR High for a bullish entry, and closer to the OR Low for a bearish entry.
Balanced = The SL zone will be placed in the center of OR High & OR Low
Risky = The SL zone will be placed closer to the OR Low for a bullish entry, and closer to the OR High for a bearish entry.
Adaptive SL -> This option only takes effect if the first TP zone is hit.
Enabled = After the 1st TP zone is hit, the SL zone will be moved to the entry price, essentially making the position risk-free.
Disabled = The SL zone will never change.
2. ORB Dashboard
ORB Dashboard shows the information about the current session.
3. ORB Backtesting
ORB Backtesting Dashboard allows you to see past performance of the algorithm in the current ticker with current settings.
Total amount of days that can be backtested depends on your TV subscription.
Backtesting Exit Ratios -> You can select how much of percent your entry will be closed at any TP zone while backtesting. For example, %90, %5, %5 means that %90 of the position will be closed at the first TP zone, %5 of it will be closed at the 2nd TP zone, and %5 of it will be closed at the last TP zone.
TrendFriendOverview
TrendFriend (TF) combines various technical analysis components, including trend calculations, moving averages, RSI signals, and Fair Value Gaps (FVG) detection to determine trend reversal and continuation points. The FVG feature identifies potential consolidation periods and displays mitigation levels.
Features
Trend Analysis: Utilizes short and long-term Running Moving Averages (RMA) to identify trends.
Average True Range (ATR): Plots ATR to depict market volatility.
RSI Signals: Calculates RSI and provides buy/sell signals based on RSI conditions.
Fair Value Gaps (FVG): Detects FVG patterns and offers options for customization, including dynamic FVG, mitigation levels, and auto threshold.
Usage
Buy Signals: Generated based on pullback conditions, contra-buy signals, and crossovers of specified moving averages.
Sell Signals: Generated based on pullback conditions, contra-sell signals, and crossunders of specified moving averages.
Visualization: FVG areas are visually represented on the chart, and unmitigated levels can be displayed.
Configuration
Adjustable parameters for trend periods, ATR length, RSI settings, FVG threshold, and display preferences.
Dynamic FVG detection and mitigation level visualization can be enabled/disabled.
Usage Example
Trend Analysis: Identify trends with short and long-term moving averages.
RSI Signals: Interpret RSI signals for potential reversals.
FVG Detection: Visualize Fair Value Gaps and mitigation levels on the chart.
Buy/Sell Signals: Receive alerts for buy/sell signals based on specified conditions.
Disclaimer
This Pine Script code is subject to the terms of the Mozilla Public License 2.0. Use this code at your own risk, and always conduct additional analysis before making trading decisions.
Author
Author: devoperator84
License: Mozilla Public License 2.0
MACD_RSI_trend_followingINFO:
This indicator can be used to build-up a strategy for trading of assets which are currently in trending phase.
My preference is to use it on slowly moving assets like GOLD and on higher timeframes, but practice may show that we find more usefull cases.
This script uses two indicators - MACD and RSI, as the timeframe that those are extracted for is configurable (defaults with the Chart TF, but can be any other selected by the user).
The strategy has the following simple idea - buy if any if the conditions below is true:
The selected TF MACD line crosses above the signal line and the TF RSI is above the user selected trigger value
The selected TF MACD line is above the signal line and the TF RSI crosses above the user selected trigger value
Once we're in position we wait for the selected TF MACD line to cross below the signal line, and then we set a SL at the low of that bar
DETAILS and USAGE:
In the current implementation I find two possible use cases for the indicator:
as a stand-alone indicator on the chart which can also fire alerts that can help to determine if we want to manually enter/exit trades based on them
can be used to connect to the Signal input of the TTS (TempalteTradingStrategy) by jason5480 in order to backtest it, thus effectively turning it into a strategy (instructions below in TTS CONNECTIVITY section)
In the example below we see a position opened at the bar after the buy indicator from the script has been triggered, and then later after the SL indicator from the script has been triggered a SL has been set on the lower wick of the closing candle, and the position eventually got closed once the price hit that level. Note that most of the drawing on the example snapshot below are from the TTS indicator following the buy/sell/SL conditions themseves:
Trading period can be selected from the indicator itself to limit to more interesting periods.
Arrow indications are drawn on the chart to indicate the trading conditions met in the script - green arrow for a buy signal indication and orange for LTF crossunder to indicate setting of SL.
SETTINGS:
Leaving all of the settings as in vanilla use case, as both the MACD and RSI indicator's settings follow the default ones for the stand-alone indicators themselves.
The start-end date is a time filter that can be extermely usefull when backtesting different time periods.
Pesonal preference is using the script on a D/W timeframe, while the indicator is configured to use Monthly chart.
The default value of the RSI filter is left to 50, which can be changed. I.e. if the RSI is above 50 we have a regime filter based on the MACD criteria.
EXTERNAL LIBRARIES:
The script uses a couple of external libraries:
HeWhoMustNotBeNamed/enhanced_ta/14 - collection of TA indicators
jason5480/tts_convention/3 - more details about the Template Trading Strategy below
I would like to highly appreciate and credit the work of both HeWhoMustNotBeNamed and jason5480 for providing them to the community.
TTS SETTINGS (NEEDED IF USED TO BACKTEST WITH TTS):
The TempalteTradingStrategy is a strategy script developed in Pine by jason5480, which I recommend for quick turn-around of testing different ideas on a proven and tested framework
I cannot give enough credit to the developer for the efforts put in building of the infrastructure, so I advice everyone that wants to use it first to get familiar with the concept and by checking
by checking jason5480's profile www.tradingview.com
The TTS itself is extremely functional and have a lot of properties, so its functionality is beyond the scope of the current script -
Again, I strongly recommend to be thoroughly epxlored by everyone that plans on using it.
In the nutshell it is a script that can be feed with buy/sell signals from an external indicator script and based on many configuration options it can determine how to execute the trades.
The TTS has many settings that can be applied, so below I will cover only the ones that differ from the default ones, at least according to my testing - do your own research, you may find something even better :)
The current/latest version that I've been using as of writing and testing this script is TTSv48
Settings which differ from the default ones:
from - False (time filter is from the indicator script itself)
Deal Conditions Mode - External (take enter/exit conditions from an external script)
🔌Signal 🛈➡ - MACD_RSI_trend_following: 🔌Signal to TTSv48 (this is the output from the indicator script, according to the TTS convention)
Sat/Sun - true (for crypto, in order to trade 24/7)
Order Type - STOP (perform stop order)
Distance Method - HHLL (HigherHighLowerLow - in order to set the SL according to the strategy definition from above)
The next are just personal preferenes, you can feel free to experiment according to your trading style
Take Profit Targets - 0 (either 100% in or out, no incremental stepping in or out of positions)
Dist Mul|Len Long/Short- 10 (make sure that we don't close on profitable trades by any reason)
Quantity Method - EQUITY (personal backtesting preference is to consider each backtest as a separate portfolio, so determine the position size by 100% of the allocated equity size)
Equity % - 100 (note above)
