Options Series - Supertrend, HalfTrend, Ichimoku Cloud and P_SAR➤ Supertrend:
➤ HalfTrend:
➤ Ichimoku Cloud:
➤ Parabolic SAR:
⭐ Overview and How It Works:
This script combines multiple popular technical indicators—Supertrend, HalfTrend, Ichimoku Cloud, and Parabolic SAR—into a single, cohesive tool for analyzing price trends and reversals. Designed for traders who prefer multi-layered confirmation, it displays non-overlay signals in a candlestick format, helping users make sense of intricate market dynamics. It also includes a "Master Candle" condition, which aggregates the signals from all indicators, providing a powerful snapshot of market sentiment.
References for study,
Supertrend and HalfTrend and Ichimoku Cloud and Parabolic SAR
⭐ Key Features and Functionality:
The script integrates four indicators and visually represents them in a non-overlay fashion, meaning that each indicator's signal appears on separate candlestick layers. It uses color coding to differentiate between bullish and bearish signals. The Master Candle is a unique feature that aggregates the signals from all indicators to show the overall sentiment.
Supertrend: It uses ATR and a multiplier factor to create a trailing stop, identifying bullish and bearish trends.
HalfTrend: It analyzes market volatility that provides buy and sell signals based on volatility channels and historical highs and lows.
Ichimoku Cloud: It leverages historical highs and lows to form the conversion and baseline, which are compared to assess market strength.
Parabolic SAR: A stop-and-reverse system that highlights potential reversals. It is based on time and price, offering traders potential reversal points.
Master Candle: It computes a score based on the confluence of all four indicators, adding another layer of confirmation.
🎨 Visualizations and User Experience:
The script's user interface is highly visual, with color-coded candlesticks plotted across multiple layers. Each indicator has its own color coding for bullish and bearish signals, ensuring clarity:
➤ Green for bullish signals.
➤ Red for bearish signals.
➤ Each candlestick layer represents a different indicator (e.g., Supertrend, HalfTrend, etc.), making it easy for the trader to isolate and interpret signals.
➤ The "Master Candle" provides an overarching view of the market by displaying a consolidated signal, which can reduce confusion from mixed indicator signals.
⭐ Settings and Customization:
The script is highly customizable, allowing users to adjust the settings for each indicator. Key customizable parameters include:
• Supertrend ATR Period and Factor
• HalfTrend Amplitude and Channel Deviation
• Ichimoku Conversion, Base, and Lagging Span Periods
• Parabolic SAR Start, Increment, and Maximum value
Additionally, users can toggle the visibility of each indicator and customize the look of the plot to suit their preferences.
⭐ Uniqueness of the Concept:
No repaints. This is the advanced representation and the combination of multiple indicators into a single script, along with a powerful "Master Candle" that aggregates them, makes this tool unique. Most scripts provide isolated indicator signals, while this one brings together four powerful indicators and visually simplifies the analysis. The non-overlay style and color-coded candlesticks offer traders an easy-to-understand, actionable visual cue, which stands out from traditional indicator overlays.
🚀 Conclusion:
This script is a comprehensive, multi-indicator trading tool suitable for traders looking for reliable trend-following and reversal detection. Its ability to provide an aggregated "Master Candle" signal reduces noise and aids in better decision-making. Customization options allow users to tailor it to their trading style, while its clear visualizations provide an excellent user experience.
Volatility
RupaliStocksThe RupaliStocks indicator is a comprehensive tool for technical analysis, designed to combine key trading signals, moving averages, volume analysis, and price action. It provides valuable insights into market trends, momentum, and potential entry/exit points. The script incorporates ATR trailing stops, EMA crossovers, volume signals, and pivot levels for well-rounded market analysis.
Key Features:
ATR Trailing Stop:
Uses the Average True Range (ATR) to set trailing stops for positions, helping traders identify potential reversal points or trailing stop losses.
The trailing stop is calculated with a configurable period (default 20) and a multiplier (default 4.5).
Buy/Sell Signals:
Buy and Sell signals are generated based on price crossing above or below the trailing stop level, making it easier to follow trends.
These signals are displayed with triangle shapes on the chart, marking potential trade entry or exit points.
Exponential Moving Averages (EMA):
Plots different EMAs across multiple time frames to identify trend direction.
Includes 9 EMA, 15 EMA, 72 EMA, and 89 EMA, allowing traders to spot short-term and long-term trends.
Crossover signals are used to define trend shifts, with colored backgrounds indicating bullish or bearish conditions.
VWAP (Volume Weighted Average Price):
The script plots the VWAP, which helps traders assess the average price weighted by volume.
It is particularly useful for determining the market's overall trend or fair value price.
Unusual Volume Detection:
Identifies unusual trading volume spikes that may indicate significant price movements or market sentiment changes.
Unusual volume up or down is detected when the volume is 1.2 times higher than the 20-period SMA of the volume.
Pivot Points:
The script calculates Pivot, Top Central (TC), and Bottom Central (BC) levels based on daily high, low, and close prices.
These pivot levels are essential for identifying potential support and resistance areas.
Daily Open, Previous Day High/Low/Close:
Tracks and plots the daily open price, as well as the previous day’s high, low, and close prices.
These levels are displayed as circles on the chart, helping traders visualize key levels from previous sessions.
Customizable MA Lengths:
Provides options to plot various simple moving averages (SMA) with customizable lengths (21, 50, 100, 200) for short, medium, and long-term trends.
EMA Pipeline:
Displays a combination of high and low EMAs (default period 90) to give a smoothed view of price movements, further helping traders understand market flow.
Candle Color Customization:
Changes the color of candles based on their relationship to the EMA (72 or 89). Green indicates bullish sentiment, red for bearish, and yellow for indecision.
Additional Features:
Multi-timeframe support: The script allows pulling data from different timeframes (1 minute, 3 minute, etc.), making it versatile for intraday and longer-term traders.
EMA Cross Highlighting: Highlights key EMA crossovers with colored areas to indicate bullish (green) or bearish (red) momentum.
Background Color Shading: Provides visual cues for price movements relative to EMA, enhancing the readability of trends.
This indicator is particularly useful for trend-following strategies, breakout trading, and volume-based decision-making.
Suggested Uses:
Trend Following: Use EMA crossovers and ATR trailing stops to ride trends and manage risk with stop-loss levels.
Volume Analysis: Identify market sentiment shifts using unusual volume spikes.
Pivot Points: Determine intraday support and resistance using calculated pivot levels.
VWAP Trading: Trade around the VWAP to find fair value entry or exit points.
Gauss KenJi Robot
Gauss KenJi Trading Robot: Precision and Automation for Traders
The Gauss KenJi robot is a cutting-edge trading solution designed for experienced traders seeking to enhance their decision-making through advanced statistical models and automation. Unlike traditional trading tools that rely on generic indicators prone to false signals, the Gauss KenJi robot offers an innovative approach by utilizing two unique indicators: the Kenji Indicator v.2.0 and the Gauss Indicator .
Kenji Indicator v.2.0
Traditional moving averages and related indicators often fail in flat market conditions, where frequent crossovers lead to confusing signals and false trends. The Kenji Indicator addresses this issue by using a combination of correlation analysis and moving averages to more accurately identify the market’s state. This real-time insight allows for better navigation of local trends, reducing noise and increasing the precision of trade signals.
Gauss Indicator
The Gauss Indicator brings the power of statistical analysis into trading by applying the 3 sigmas rule. It calculates and predicts the likely price ranges for specific time frames (hourly, daily, weekly) with probabilities of 68%, 95%, and 99%. This offers traders an actionable framework for setting stop-loss, take-profit, and identifying key support and resistance levels. By providing a clearer view of potential price movements, the Gauss Indicator improves decision-making, ensuring that traders enter and exit the market at optimal points.
Gauss KenJi Robot: How it Works
The Gauss KenJi robot operates on a statistical algorithm based on the Gaussian function, which uses market volatility as a core indicator of price movements. The robot opens positions in the direction of the trend when the price reaches the predetermined Gauss border. Position sizes are calculated according to the “Initial_lot” parameter, with stop-loss and take-profit levels defined by the “Pips” parameter. Trades are automatically closed either when profit targets or stop-loss limits are reached, or if local trend reversals are detected by the Kenji Indicator.
This highly adaptable algorithm can be applied to any asset class (stocks, forex, crypto, commodities) and any time frame, providing traders with a versatile tool to navigate various markets.
Why Gauss KenJi is Essential for Traders
1. Time Efficiency: The robot operates autonomously, allowing traders to step away from constant chart monitoring while still capitalizing on market movements.
2. Profit Maximization: By leveraging machine learning and advanced statistical models, the robot identifies opportunities faster than human traders, ensuring more profitable trades.
3. Risk Management: The robot strictly adheres to predefined rules, helping traders minimize losses and protect their capital in volatile market conditions.
4. Cross-market Versatility: Whether you’re trading forex, stocks, crypto, or commodities, Gauss KenJi adapts to different markets and time frames, making it a versatile tool for professional traders.
The Gauss KenJi robot is a comprehensive, scientifically driven trading solution designed to eliminate common pitfalls associated with traditional indicators. Its combination of the Kenji Indicator’s trend identification and the Gauss Indicator’s price prediction capabilities makes it an indispensable tool for traders looking to enhance both the precision of their trades and the automation of their strategies. Whether you are aiming for consistent daily profits or optimizing long-term trading strategies, Gauss KenJi offers the efficiency and accuracy required to stay ahead in today’s competitive markets.
TS Volatility-Adjusted EWMAThe TS Volatility-Adjusted Exponentially Weighted Moving Average (EWMA) is a dynamic trend-following indicator designed to adapt to changing market volatility. Unlike traditional moving averages, this indicator adjusts its sensitivity based on market conditions, making it more responsive during periods of high volatility and smoother when markets are calmer.
Key Features:
Volatility Adjustment: The EWMA length is dynamically scaled using the Average True Range (ATR), making it adaptive to market volatility. This allows the indicator to react quickly when volatility spikes and remain stable when volatility drops.
User-Controlled Smoothing: The indicator includes an optional smoothing period, allowing you to adjust how smooth or reactive the line is to price changes. If you prefer a more smoothed-out trend, simply increase the smoothing length.
This indicator is perfect for trend-following traders who want an adaptive tool that stays responsive to the market’s volatility. The TS Volatility-Adjusted EWMA helps you confidently follow market trends, whether you’re riding a long-term trend or catching shorter-term movements.
DEB SuperTrend [Mattes]The Dynamic Envelope Based Supertrend integrates two key concepts: dynamic envelopes and the Supertrend, creating a powerful trend-following tool. Understanding its functionality requires a closer look at how the envelopes are constructed and how they interact with price action.
Dynamic Envelopes
>>> Dynamic envelopes are bands that surround a central moving average (MA) which is set by the user. These are then calculated based on the standard deviation of price movements over a specified period. The formula for the upper and lower envelopes is as follows:
Upper Envelope=MA+(Multiplier×STD)
Lower Envelope=MA−(Multiplier×STD)
This dynamic approach ensures that the envelopes expand and contract based on market volatility. In periods of high volatility, the envelopes widen, allowing for more price movement without triggering false signals. Conversely, in low-volatility periods, the envelopes tighten, enhancing sensitivity to price changes.
Interaction with the Supertrend
The Supertrend component is a trend-following indicator that utilizes the concept of Average True Range (ATR) to define its trailing stop levels.
In this indicator however (like I've mentioned before), the ATR bands have been replaced with the STD envelopes, as they offer a better performance compared to ATR bands.
Trend Direction
The Supertrend indicator generates buy and sell signals based on price crossing the calculated upper and lower envelopes:
>>> Buy Signal: Triggered when the price closes above the upper envelope, indicating a potential upward trend.
>>> Sell Signal: Triggered when the price closes below the lower envelope, suggesting a downward trend.
Adaptive Nature:
The dynamic envelopes effectively serve as dynamic support and resistance levels, which adapt to price movements and volatility, while the Supertrend tracks these levels to confirm the trend direction and adjust accordingly to changes, making it an enhanced version of ATR Based Supertrends.
Unique Aspects and Advantages
->>>> The Dynamic Envelope Based Supertrend is unique for several reasons:
>>> Volatility Responsiveness: The indicator adjusts its sensitivity based on market conditions, reducing the likelihood of false signals during quiet market phases and improving reliability during volatile periods. This is reasoned by the STD envelope bands contracting and expanding relative to the tickers performance.
>>> Trend Confirmation: By integrating the Supertrend logic, the indicator not only provides entry signals but also guides traders on when to exit, maintaining a focus on trend-following rather than mean reversion.
>>> Stability: Due to its use of Standard deviation envelopes, it is very ressistant in periods of uncertainty, Rather than buy bottom and selling tops, it stays long/short for the complete period of mean reverting environments, which is based on the bigger and fuller trend direction on the larger timescales.
>>> Clear Signals: The indicator simplifies decision-making by offering visual cues through its envelopes and trend signals, making it accessible to traders of all experience levels.
Summary:
The Dynamic Envelope Based Supertrend is a sophisticated trend-following indicator that intelligently combines dynamically adjusted STD envelopes with Supertrend logic. By incorporating volatility metrics, it offers a clear and actionable framework for traders, enhancing their ability to identify and follow trends effectively.
FVG Order Blocks [BigBeluga]This indicator is an advanced tool designed to detect and visualize market FVGs with order blocks, where the price action has created gaps due to strong buying or selling pressure. These FVG often act as critical support and resistance levels, giving traders strategic points for potential entries and exits. The indicator not only identifies these imbalances but also displays their relative strength by size %, helping traders prioritize order blocks that are more likely to hold or break.
The indicator works on various pairs and stocks, it also works on charts that do not provide volume data
Forex (JPY/USD):
Stocks (NVDA):
🔵 KEY FEATURES & USAGE
● FVGs Detection and Visualization:
The indicator detects bullish and bearish FVGs. Bullish FVG occur when there is significant buying, and order block is plotted below the FVG zone:
Conversely, bearish FVG are plotted with an order block above the zone, indicating potential resistance.
Traders can use these order blocks to anticipate price reactions when the market revisits these areas, making them ideal for setting up trades.
● FVG Filtering:
The indicator includes a FVG % filter that allows traders to only display strong order blocks. This ensures that only significant FVG order blocks are shown, reducing noise and focusing on the most impactful areas.
● Highlighting Broken Levels:
When an imbalance level is broken—either breached by price action or no longer relevant—the indicator can either delete the level or mark it with a gray color areas. This provides a clear visual cue that the level has been compromised, allowing traders to adjust their strategies accordingly.
● Order Blocks Signals:
When price retest the blocks, indicator display potential sell or buy signals. Which can be an opportunity for trades
🔵 CUSTOMIZATION
● FVG Filter:
Adjust the strength filter to control which FVGs are displayed based on their percentage size. This filter helps in focusing only on significant blocks that are likely to impact price action.
● Order Blocks Amount Displayed:
Set the maximum number of Order Blocks to be displayed on the chart. This customization helps keep the chart clean and ensures that only the most important blocks are in view.
● Broken Order Blocks Display:
Choose whether to display order blocks that have been broken by the price. This feature helps in maintaining a focus on blocks that are still valid while filtering out those that are no longer relevant.
● Color Customization:
You can customize the colors for bullish and bearish Order Blocks to match your chart's overall color scheme. Additionally, strength bars can be color-coded based on their percentage to quickly identify high-priority order blocks.
Traders who are confident in the settings of the indicator can confidently use it on various types of markets
CoffeeShopCrytpo Dynamic PPIIn the financial world, the Producer Price Index (PPI) is often used to measure how domestic products are performing over time, indicating the health of the market. Domestic products refer to goods and services that are produced within a specific country’s borders. However, in this indicator, we’ve taken that idea and applied it directly to financial assets, allowing traders to see how an asset is performing relative to its own base value over a given period of time.
Here, the asset’s base value is represented as 100%. When the asset performs above 100%, it's considered to be in a buyer's market—indicating strength and demand. Conversely, if the value dips below 100%, it's operating below its base value, signaling a potential seller's market.
Why This Matters:
This indicator not only converts an asset’s performance into a PPI-style calculation, but it also visualizes price movements as price candles. This dual perspective is crucial, because even if the asset’s performance is over 100%, the closing price might still fall below that threshold—adding nuance to your understanding of market conditions.
Key Features of the Indicator:
Bullish and Bearish Convergence Levels: These levels show whether the market leans bullish or bearish. If the Bullish Convergence level is higher than the Bearish one, the market is bullish, and vice versa. Importantly, these levels can signal shifts in market strength, regardless of where the PPI candles are positioned.
If Bullish Convergence is rising below Bearish, the bearish market is weakening and bullish pressure is growing. Conversely, if Bearish Convergence is falling above Bullish, the bearish side is losing ground.
Market Strength Visualizations:
Strong Bullish Market: Bullish Convergence is higher than Bearish, and it’s still rising.
Strong Bearish Market: Bearish Convergence is above Bullish, and it's climbing.
Weak Bullish Market: Bullish Convergence is above Bearish, but the PPI closes below Bullish Convergence.
Weak Bearish Market: Bearish Convergence is above Bullish, but the PPI closes above Bullish Convergence
Pullbacks:
Bullish Pullback: In a strong bullish market, the PPI shows lower closes below the Bullish Convergence.
Bearish Pullback: In a strong bearish market, the PPI shows higher closes above the Bullish Convergence.
Divergences:
Higher Price, Lower or Flat PPI: This indicates that while the asset’s price is rising, its underlying performance (relative to the PPI’s 100% base level) is not keeping up. Essentially, the asset is reaching new price highs, but its strength or "efficiency" of growth is weakening.
The PPI is designed to show the "return" of an asset's performance relative to its historical movement, so when it lags behind price, it suggests that the price rise may not be sustainable.
When you observe the first high of the PPI level above the bullish convergence level, followed by a second high of the PPI below the bullish convergence level in a bullish market, this creates a divergence.
Example of Divergence in image:
1. First High of PPI Above the Bullish Convergence Level:
This suggests strong bullish momentum. The asset’s performance, as measured by the PPI, is in line with or even outperforming price expectations, indicating the market is experiencing a robust bullish trend. The fact that the PPI level is above the bullish convergence line means that the asset is operating well above its base performance (above 100%) and bullish momentum is clearly dominant.
2. Second High of PPI Below the Bullish Convergence Level:
This marks a potential weakening of the bullish momentum. Although the market is still in a bullish state (since bullish convergence remains above bearish), the PPI failing to reach the bullish convergence level suggests that the asset’s performance is not keeping pace with price action or is underperforming relative to its earlier high.
The fact that this occurs while the market is still bullish (bullish convergence is greater than bearish) can signal a possible pullback or a temporary consolidation phase within the larger bullish trend.
What does a divergence mean:
Momentum Weakening: The second high of the PPI being below the bullish convergence line suggests that while prices may still be increasing, the strength behind the move is fading. The asset is not performing as strongly as it did during the first high, and the market’s confidence or momentum might be softening.
Potential Bullish Pullback: This could indicate that a pullback or correction within the larger bullish trend is underway. Traders might be taking profits, or buyers could be losing enthusiasm, causing the asset to stall temporarily. However, because the overall market remains bullish, this doesn’t necessarily mean a full reversal—just a cooling off period.
Caution in New Long Positions: If you see this divergence, it could be a sign to be more cautious about opening new long positions. It suggests that the asset may need to consolidate or correct before resuming its upward trend, and it’s worth waiting for confirmation of renewed momentum before jumping back in.
ATR Settings
Youll notice there are two ATR settings. One for short term and one for long term.
These values are based on your preferential strategy for what you consider to be long and short term.
The final ATR values are calculated against eachother and applied to the Volatility Label at the end of price.
This label shows you the current ATR as well as the previous candle ATR.
Why this is important:
If the short term ATR is greater than the long term ATR, then volatility is rising in the short term greater than the long term.
This gives your label a value greater than 1.0. This means the short term trend is about to move.
If the long term ATR is greater than the short term ATR, there is no volatility in the short term and only long term exists.
This gives you a value of less than 1.0. This means no volatility or ranging market in the short term.
Spazz MSiThis innovative adaptation of the Enhanced McClellan Summation Index (MSI) incorporates advanced statistical analysis to refine its market interpretation capabilities. The core enhancement involves the integration of a Z-score calculation, which is applied to a user-selectable price data series (open, high, low, close, or their derivatives).
Key modifications and improvements include:
1. Flexible Data Input: The indicator now allows for the selection of various price points or their combinations (e.g., OHLC4, HLC3) as the basis for the MSI calculation, enhancing its adaptability to different trading strategies and market conditions.
2. Z-Score Integration: By incorporating a Z-score metric, the indicator provides a standardized measure of the price series' deviation from its mean. This statistical approach offers a more nuanced view of market extremes.
3. Dynamic Overbought/Oversold Identification: The Z-score implementation enables a more sophisticated method for identifying overbought and oversold conditions. These states are now determined relative to the asset's own historical volatility, rather than fixed thresholds.
4. Automated Signal Generation: The indicator now features an algorithmic approach to generate buy and sell signals. These signals are triggered when specific Z-score thresholds are breached, offering traders clear, statistically-backed entry and exit points.
5. Visual Enhancements: The addition of graphical elements, such as color-coded plots and shape markers, improves the indicator's visual interpretability, allowing for quicker and more intuitive market analysis.
This enhanced version of the McClellan Summation Index combines the robust trend-following capabilities of the original MSI with the precision of statistical analysis. By doing so, it provides traders with a more refined tool for market timing and trend identification, particularly useful in volatile or transitioning market conditions.
Futures Beta Overview with Different BenchmarksBeta Trading and Its Implementation with Futures
Understanding Beta
Beta is a measure of a security's volatility in relation to the overall market. It represents the sensitivity of the asset's returns to movements in the market, typically benchmarked against an index like the S&P 500. A beta of 1 indicates that the asset moves in line with the market, while a beta greater than 1 suggests higher volatility and potential risk, and a beta less than 1 indicates lower volatility.
The Beta Trading Strategy
Beta trading involves creating positions that exploit the discrepancies between the theoretical (or expected) beta of an asset and its actual market performance. The strategy often includes:
Long Positions on High Beta Assets: Investors might take long positions in assets with high beta when they expect market conditions to improve, as these assets have the potential to generate higher returns.
Short Positions on Low Beta Assets: Conversely, shorting low beta assets can be a strategy when the market is expected to decline, as these assets tend to perform better in down markets compared to high beta assets.
Betting Against (Bad) Beta
The paper "Betting Against Beta" by Frazzini and Pedersen (2014) provides insights into a trading strategy that involves betting against high beta stocks in favor of low beta stocks. The authors argue that high beta stocks do not provide the expected return premium over time, and that low beta stocks can yield higher risk-adjusted returns.
Key Points from the Paper:
Risk Premium: The authors assert that investors irrationally demand a higher risk premium for holding high beta stocks, leading to an overpricing of these assets. Conversely, low beta stocks are often undervalued.
Empirical Evidence: The paper presents empirical evidence showing that portfolios of low beta stocks outperform portfolios of high beta stocks over long periods. The performance difference is attributed to the irrational behavior of investors who overvalue riskier assets.
Market Conditions: The paper suggests that the underperformance of high beta stocks is particularly pronounced during market downturns, making low beta stocks a more attractive investment during volatile periods.
Implementation of the Strategy with Futures
Futures contracts can be used to implement the betting against beta strategy due to their ability to provide leveraged exposure to various asset classes. Here’s how the strategy can be executed using futures:
Identify High and Low Beta Futures: The first step involves identifying futures contracts that have high beta characteristics (more sensitive to market movements) and those with low beta characteristics (less sensitive). For example, commodity futures like crude oil or agricultural products might exhibit high beta due to their price volatility, while Treasury bond futures might show lower beta.
Construct a Portfolio: Investors can construct a portfolio that goes long on low beta futures and short on high beta futures. This can involve trading contracts on stock indices for high beta stocks and bonds for low beta exposures.
Leverage and Risk Management: Futures allow for leverage, which means that a small movement in the underlying asset can lead to significant gains or losses. Proper risk management is essential, using stop-loss orders and position sizing to mitigate the inherent risks associated with leveraged trading.
Adjusting Positions: The positions may need to be adjusted based on market conditions and the ongoing performance of the futures contracts. Continuous monitoring and rebalancing of the portfolio are essential to maintain the desired risk profile.
Performance Evaluation: Finally, investors should regularly evaluate the performance of the portfolio to ensure it aligns with the expected outcomes of the betting against beta strategy. Metrics like the Sharpe ratio can be used to assess the risk-adjusted returns of the portfolio.
Conclusion
Beta trading, particularly the strategy of betting against high beta assets, presents a compelling approach to capitalizing on market inefficiencies. The research by Frazzini and Pedersen emphasizes the benefits of focusing on low beta assets, which can yield more favorable risk-adjusted returns over time. When implemented using futures, this strategy can provide a flexible and efficient means to execute trades while managing risks effectively.
References
Frazzini, A., & Pedersen, L. H. (2014). Betting against beta. Journal of Financial Economics, 111(1), 1-25.
Fama, E. F., & French, K. R. (1992). The cross-section of expected stock returns. Journal of Finance, 47(2), 427-465.
Black, F. (1972). Capital Market Equilibrium with Restricted Borrowing. Journal of Business, 45(3), 444-454.
Ang, A., & Chen, J. (2010). Asymmetric volatility: Evidence from the stock and bond markets. Journal of Financial Economics, 99(1), 60-80.
By utilizing the insights from academic literature and implementing a disciplined trading strategy, investors can effectively navigate the complexities of beta trading in the futures market.
Breakout & Distribution DetectorHow the Script Works:
1. Bollinger Bands:
• The upper and lower Bollinger Bands are used to detect volatility and potential breakouts. When the price closes above the upper band, it’s considered a bullish breakout. When the price closes below the lower band, it’s a bearish breakout.
2. RSI (Relative Strength Index):
• The RSI is used for momentum confirmation. A bullish breakout is confirmed if the RSI is above 50, and a bearish breakout is confirmed if the RSI is below 50.
• If the RSI enters overbought (above 70) or oversold (below 30) levels, it signals a distribution phase, indicating the market may be ready to reverse or consolidate.
3. Moving Average:
• A simple moving average (SMA) of 20 periods is used to ensure we’re trading in the direction of the trend. Breakouts above the upper Bollinger Band are valid if the price is above the SMA, while breakouts below the lower Bollinger Band are valid if the price is below the SMA.
4. Signals and Alerts:
• BUY Signal: A green “BUY” label appears below the candle if a bullish breakout is detected.
• SELL Signal: A red “SELL” label appears above the candle if a bearish breakout is detected.
• Distribution Phase: The background turns purple if the market enters a distribution phase (RSI in overbought or oversold territory).
• Alerts: You can set alerts based on these conditions to get notifications for breakouts or when the market enters a distribution phase.
ATR Movement Percentage from Daily (Bal)Script Description: ATR Movement Percentage from Daily
The script titled "ATR Movement Percentage from Daily" is designed to help traders analyze the price movement of an asset in relation to its daily volatility, as represented by the Average True Range (ATR). Here's a breakdown of how the script works:
Key Features of the Script:
ATR Calculation:
The script allows the user to input the length of the ATR calculation (default is 14 periods).
It retrieves the daily ATR value using the request.security function, ensuring that the ATR is based on the daily timeframe, regardless of the current chart's timeframe.
Price Movement Calculation:
It calculates the opening price of the current day using request.security to ensure it is aligned with the daily timeframe.
It retrieves the current closing price and computes the price change from the opening price.
Movement Percentage:
The percentage of price movement relative to the daily ATR is calculated. This value helps traders understand how significant the current price movement is compared to the expected volatility for the day.
Direction of Movement:
The script determines the direction of the price movement (upward or downward) based on whether the price change is positive or negative.
Dynamic Label Display:
A label is created and updated to show the movement percentage and direction on the chart.
If the price movement is upward, the label is displayed in green; if downward, it is shown in red.
The label position updates with each new bar, keeping it relevant to the current price action.
Plotting Daily ATR:
The daily ATR value is plotted on the chart as a blue line, providing a visual reference for traders to see the volatility levels in relation to price movements.
Conclusion:
This script is particularly useful for traders who want to assess market conditions based on volatility. By understanding how much the price has moved in relation to the daily ATR, traders can make informed decisions about entry and exit points, and adjust their risk management strategies accordingly. The dynamic labeling feature enhances the usability of the script, allowing for quick visual assessments of market behavior.
ATR Range Pivot LinesDescription:
This Pine Script calculates and plots pivot lines based on ATR (Average True Range) value and closing price. It uses the previous trading day's ATR value to set static pivot levels for the current trading day. These pivot lines help traders identify potential support and resistance levels based on historical volatility. The script includes two main pivot lines—ATR High and ATR Low —and two midpoint lines between them for additional context. Labels are added to show the exact pivot values, with options to customize label positions.
Intended Use:
The script is designed to help traders forecast potential price ranges for the current trading day based on the previous day’s volatility. By adding and subtracting the previous day's ATR from the prior close, the script identifies key levels where price action may encounter support or resistance. It is useful for setting realistic price targets or entry/exit points. Since the ATR-based pivot lines are static for the entire day, they provide a reliable range for intraday trading strategies.
Disclosure:
This script was generated using AI. It is recommended to review and test the script thoroughly before applying it in live trading scenarios.
Volatility Gaussian Bands [BigBeluga]The Volatility Gaussian Bands indicator is a cutting-edge tool designed to analyze market trends and volatility with high precision. By applying a Gaussian filter to smooth price data and implementing dynamic bands based on market volatility, this indicator provides clear signals for trend direction, strength, and potential reversals. With updated volatility calculations, it enhances the accuracy of trend detection, making it a powerful addition to any trader's toolkit.
⮁ KEY FEATURES & USAGE
● Gaussian Filter Trend Bands:
The Gaussian Filter forms the foundation of this indicator by smoothing price data to reveal the underlying trend. The trend is visualized through upper and lower bands that adjust dynamically based on market volatility. These bands provide clear visual cues for traders: a crossover above the upper band indicates a potential uptrend, while a cross below the lower band signals a potential downtrend. This feature allows traders to identify trends with greater accuracy and act accordingly.
● Dynamic Trend Strength Gauges:
The indicator includes trend strength gauges positioned at the top and bottom of the chart. These gauges dynamically measure the strength of the uptrend and downtrend, based on the middle Gaussian line. Even if the trend is downward, a rising midline will cause the upward trend strength gauge to show an increase, offering a nuanced view of the market’s momentum.
Weakening of the trend:
● Fast Trend Change Indicators:
Triangles with a "+" symbol appear on the chart to signal rapid changes in trend direction. These indicators are particularly useful when the trend changes swiftly while the midline continues to grow in its previous direction. For instance, during a downtrend, if the trend suddenly shifts upward while the midline is still declining, a triangle with a "+" will indicate this quick reversal. This feature is crucial for traders looking to capitalize on rapid market movements.
● Retest Signals:
Retest signals, displayed as triangles, highlight potential areas where the price may retest the Gaussian line during a trend. These signals provide an additional layer of analysis, helping traders confirm trend continuations or identify possible reversals. The retest signals can be customized based on the trader’s preferences.
⮁ CUSTOMIZATION
● Length Adjustment:
The length of the Gaussian filter can be customized to control the sensitivity of trend detection. Shorter lengths make the indicator more responsive, while longer lengths offer a smoother, more stable trend line.
● Volatility Calculation Mode:
Traders can select from different modes (AVG, MEDIAN, MODE) to calculate the Gaussian filter, allowing for flexibility in how trends are detected and analyzed.
● Retest Signals Toggle:
Enable or disable the retest signals based on your trading strategy. This toggle allows traders to choose whether they want these additional signals to appear on the chart, providing more control over the information displayed during their analysis.
⮁ CONCLUSION
The Volatility Gaussian Bands indicator is a versatile and powerful tool for traders focused on trend and volatility analysis. By combining Gaussian-filtered trend lines with dynamic volatility bands, trend strength gauges, and rapid trend change indicators, this tool provides a comprehensive view of market conditions. Whether you are following established trends or looking to catch early reversals, the Volatility Gaussian Bands offers the precision and adaptability needed to enhance your trading strategy.
Multi-Assets Monthly/Weekly/Daily/ Rate Multi-Assets Rate Indicator
This indicator provides a comprehensive view of performance across multiple asset classes, including Forex pairs, Indices, Commodities, and Cryptocurrencies. It offers the following features:
1. Asset Type Selection: Users can choose between "FOREX" and "Other Assets" to view different sets of instruments.
2. Timeframe Flexibility: Performance can be analyzed on Weekly, Daily, or Monthly timeframes.
3. Performance Metrics:
- Current Period Performance: Percentage change in the selected timeframe.
- Previous Period Performance: Percentage change in the previous period.
- Rate of Change: Difference between current and previous period performances.
4. Visual Representation: Results are displayed in a color-coded table for easy interpretation.
- Green indicates positive performance
- Red indicates negative performance
5. Customizable Symbols: Users can input their preferred symbols for each category.
6. Categorized View: When "Other Assets" is selected, the table is organized into Indices, Commodities, and Cryptocurrencies for better clarity.
This indicator is designed to help traders and investors quickly assess and compare performance across various financial instruments and asset classes. It's particularly useful for identifying trends, comparing relative strengths, and making informed decisions based on multi-timeframe analysis.
Note: This indicator relies on data provided by TradingView. Ensure that you have access to the required data feeds for accurate results.
Disclaimer: This indicator is for informational purposes only and should not be considered as financial advice. Always conduct your own research and consider your financial situation before making investment decisions.
Straddle Indicator - Padding GuideThe Straddle Indicator is designed to help traders visualize potential market movements by straddling the current price. This indicator draws two horizontal lines on the chart: one positioned above and one below the current price, based on user-defined offsets.
Key Features:
Dynamic Price Levels: The levels are calculated based on the current closing price, allowing the indicator to adapt to changing market conditions in real time.
Customizable Offsets: Traders can customize the offsets for the lines above and below the current price, providing flexibility to align with their trading strategies or market analysis.
Visual Clarity: The indicator displays the price levels as horizontal lines in distinct colors (green for above and red for below) along with corresponding labels showing the exact price levels, facilitating quick reference.
Current Bar Focus: The lines and labels are updated to only reflect the current bar, minimizing chart clutter and making it easy to focus on the most relevant price action.
This indicator is particularly useful for traders employing straddle strategies, as it helps to anticipate potential price movements and plan entries or exits accordingly.
Simple RSI stock Strategy [1D] The "Simple RSI Stock Strategy " is designed to long-term traders. Strategy uses a daily time frame to capitalize on signals generated by the Relative Strength Index (RSI) and the Simple Moving Average (SMA). This strategy is suitable for low-leverage trading environments and focuses on identifying potential buy opportunities when the market is oversold, while incorporating strong risk management with both dynamic and static Stop Loss mechanisms.
This strategy is recommended for use with a relatively small amount of capital and is best applied by diversifying across multiple stocks in a strong uptrend, particularly in the S&P 500 stock market. It is specifically designed for equities, and may not perform well in other markets such as commodities, forex, or cryptocurrencies, where different market dynamics and volatility patterns apply.
Indicators Used in the Strategy:
1. RSI (Relative Strength Index):
- The RSI is a momentum oscillator used to identify overbought and oversold conditions in the market.
- This strategy enters long positions when the RSI drops below the oversold level (default: 30), indicating a potential buying opportunity.
- It focuses on oversold conditions but uses a filter (SMA 200) to ensure trades are only made in the context of an overall uptrend.
2. SMA 200 (Simple Moving Average):
- The 200-period SMA serves as a trend filter, ensuring that trades are only executed when the price is above the SMA, signaling a bullish market.
- This filter helps to avoid entering trades in a downtrend, thereby reducing the risk of holding positions in a declining market.
3. ATR (Average True Range):
- The ATR is used to measure market volatility and is instrumental in setting the Stop Loss.
- By multiplying the ATR value by a custom multiplier (default: 1.5), the strategy dynamically adjusts the Stop Loss level based on market volatility, allowing for flexibility in risk management.
How the Strategy Works:
Entry Signals:
The strategy opens long positions when RSI indicates that the market is oversold (below 30), and the price is above the 200-period SMA. This ensures that the strategy buys into potential market bottoms within the context of a long-term uptrend.
Take Profit Levels:
The strategy defines three distinct Take Profit (TP) levels:
TP 1: A 5% from the entry price.
TP 2: A 10% from the entry price.
TP 3: A 15% from the entry price.
As each TP level is reached, the strategy closes portions of the position to secure profits: 33% of the position is closed at TP 1, 66% at TP 2, and 100% at TP 3.
Visualizing Target Points:
The strategy provides visual feedback by plotting plotshapes at each Take Profit level (TP 1, TP 2, TP 3). This allows traders to easily see the target profit levels on the chart, making it easier to monitor and manage positions as they approach key profit-taking areas.
Stop Loss Mechanism:
The strategy uses a dual Stop Loss system to effectively manage risk:
ATR Trailing Stop: This dynamic Stop Loss adjusts based on the ATR value and trails the price as the position moves in the trader’s favor. If a price reversal occurs and the market begins to trend downward, the trailing stop closes the position, locking in gains or minimizing losses.
Basic Stop Loss: Additionally, a fixed Stop Loss is set at 25%, limiting potential losses. This basic Stop Loss serves as a safeguard, automatically closing the position if the price drops 25% from the entry point. This higher Stop Loss is designed specifically for low-leverage trading, allowing more room for market fluctuations without prematurely closing positions.
to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken
Together, these mechanisms ensure that the strategy dynamically manages risk while offering robust protection against significant losses in case of sharp market downturns.
The position size has been estimated by me at 75% of the total capital. For optimal capital allocation, a recommended value based on the Kelly Criterion, which is calculated to be 59.13% of the total capital per trade, can also be considered.
Enjoy !
Follow LineFollow Line is a common MT4 FX indicator based on trend following.
The main idea behind the calculation is volatility:
-Indicator Line increases as price goes above Bollinger Bands but with 1 standard deviation.
-Likewise when price moves below the lower Bollinger Band with 1 Standard deviation, Follow -Line decreases down.
-As you can imagine, indicator stays as a flat line when price moves between the bands.
There are two critical settings about the indicator:
1- Bollinger Bands Deviation is set to 1 as default but if you want to have early signals you have to decrease that amount. Also you'd better increase that to have flat values on sideways market conditions for not getting chopped by the early but false signals.
2- ATR Filter is activated in default settings and the indicator follows the trend with a distance from Highs and Lows considering ATR (default length 5) values. If you turn off the ATR filter, the indicator line only takes into account the Highs and the Lows. Indicator will get more agile but the risk of choppy signals can be taken that time. I personally advise you to increase the Bollinger Band Deviation from 1 to between 1.5-2 to stabilize the fake signals when ATR filter is turned off.
Signals can be shown on the graph:
BUY: when Follow Line changes direction from red to blue.(which means Price is above Bollinger Upper Band with 1 standard deviation)
SELL: when Follow Line changes direction from blue to red. (which means Price moves below Bollinger Lower Band with 1 standard deviation)
Finally, some of you may know there are also several Follow Line indicators on TradingView but unfortunately they don't show the same exact values (close but not same) comparing with original version of MT4 and the Metastock version that I've coded recently. So, I shared this stuff to have the exact same values on graphs on all platforms.
Pivot Liquidity Sweep + SignalsCore Functionalities:
Sweep Signals:
The indicator identifies sweeps of liquidity by detecting when price exceeds recent pivot highs (swing highs) or pivot lows (swing lows) and then reverses direction. It draws attention to these scenarios by labeling them on the chart.
For bullish sweep signals, the entry point is the closing price of the sweep candle, with the stop loss placed at the highest point between the sweep candle and the previous candle.
For bearish sweeps, the entry point is similarly identified, with the stop loss being the lowest price of the sweep candle and the candle before it. The profit target is dynamically set to the low or high of the closest valid pivot depending on the direction of the trade.
Rejection Signals:
Rejection signals are identified when price attempts to break a pivot high or low but fails, causing a rejection.
Bullish rejections involve price trying to break a pivot low but closing back above it, indicating potential for a bounce.
Bearish rejections follow a similar pattern, with price attempting to break a pivot high but failing to hold above it, signaling a potential bearish move.
High-Precision Intrabar Data:
The "Intrabar Precision" feature allows the indicator to use lower timeframe data to accurately plot sweeps and rejections, providing traders with precise entry and exit points.
The intrabar settings are particularly useful for traders looking for high-precision trades, such as scalpers who want to capture small yet consistent moves.
ATR and Percentage-Based Filters:
The indicator allows for customizable filters to ensure signals meet certain thresholds before being validated. Traders can use ATR (Average True Range) or percentage-based conditions to filter out low-quality signals, ensuring that the trades captured have enough volatility or price movement potential.
Dashboard:
The built-in dashboard provides a quick overview of trades executed using the indicator, displaying metrics such as the total number of sweep and rejection trades, their success rates, and total profit in points.
The dashboard is color-coded for easy reading and offers traders insights into the overall performance of their strategy, helping with ongoing evaluation and optimization.
Labeling and Alerts:
Every time a sweep or rejection signal is detected, the indicator automatically labels the chart to help traders quickly identify the trading opportunities.
Alerts are also generated for each trading signal, providing the trader with real-time notifications, which can be useful for those who are not constantly monitoring their charts.
Stop Loss and Target Adaptation:
The stop loss levels are adjusted dynamically based on the recent pivot points, and the target profit is derived from valid subsequent pivot levels to ensure realistic and efficient trade exits.
Gold IBH/IBL with IBM, Overnight Levels, OVM, and ONVPOCThe Initial Balance (IB) indicator for gold trading is a valuable tool for identifying key price levels and potential trade setups. Here's an overview of how it works:
Initial Balance Calculation
The Initial Balance for gold is calculated from 8:20 AM to 9:20 AM EST, coinciding with the COMEX open. This one-hour period establishes crucial reference points for the trading day.
Key Levels
The indicator displays several important price levels:
IB High: The highest price reached during the Initial Balance period
IB Low: The lowest price reached during the Initial Balance period
IB Midpoint: The average of the IB High and IB Low
These levels often serve as significant support and resistance areas, with many traders placing stop-losses around them.
Overnight Levels
In addition to the IB levels, the indicator shows overnight price action:
ONH: Overnight High
ONL: Overnight Low
ONM: Overnight Midpoint
Overnight VWAP: Volume Weighted Average Price from the overnight session
These overnight levels have a high probability of being tested during the COMEX trading session, making them valuable reference points for traders.
Trading Applications
Traders can use the IB and overnight levels for various purposes:
Setting profit targets
Identifying potential trade entry points
Managing risk by placing stop-losses at key levels
Gauging overall market sentiment and volatility
The levels established during both the Initial Balance and overnight sessions are likely to be touched during the COMEX trading session. This insight allows traders to make more informed decisions and enhances their trading strategies.
If you have more questions about the trading strategy, please DM me, and I can explain further. I also have probabilities of all these levels being broken during the COMEX trading hours, which gives us confidence to hold our trades to targets.
Understanding and utilizing these levels can provide traders with a competitive edge in gold trading, helping them make more informed decisions based on early market dynamics and overnight price action.
ATR Band, Stop loss , Take Profit Lines, and Pip Distance# ATR Band, Take Profit Lines, and Pip Distance Indicator
This indicator helps traders identify potential stop loss and take profit levels using Average True Range (ATR) bands and custom multipliers. It provides a visual representation of these levels and calculates the pip distance to stop loss, aiding in risk management and trade planning.
## Key Features:
- ATR-based upper and lower bands for potential stop loss levels
- Two take profit levels above and below the ATR bands
- Customizable ATR period and multipliers for bands and take profit levels
- Pip distance calculation to stop loss levels
- Adjustable colors for all elements
## How to Use:
1. The ATR bands (blue and red lines) suggest potential stop loss levels.
2. Take profit levels are shown as green lines above and below the ATR bands.
3. Labels display the pip distance from the current or last close to the stop loss levels.
## Customization:
- Adjust the ATR period and multipliers to fit your trading style
- Customize colors for better visibility on your chart
- Choose between current candle or last close for pip distance calculation
Remember, this indicator is for informational purposes only. Always manage your risk carefully and consider using it in conjunction with other analysis tools and your trading strategy.
Good luck with your trading!
Dynamic Supertrend1. Indicator Overview:
This indicator is designed to plot dynamic support and resistance lines based on the Supertrend strategy, incorporating volatility through the Average True Range (ATR). The indicator changes direction when the price crosses certain thresholds, generating buy and sell signals. It also highlights the prevailing trend on the chart and can trigger alerts when a trend shift occurs.
2. Key Features:
ATR-Based Trend Calculation:
The script uses the Average True Range (ATR) to adjust the distance between the Supertrend line and the price. This ensures that the indicator adapts to market volatility.
The trend is determined by comparing the closing price to upper and lower boundaries, which are calculated by adding or subtracting a multiple of ATR to a source price (typically the average of the high and low prices).
Volatility Filter:
The script includes a function to check if the market is volatile by measuring the standard deviation of the closing price over the past 14 periods. This can potentially be used to conditionally enable or disable signals based on volatility.
Buy and Sell Signals:
When the price crosses above the Supertrend line, it indicates the start of an uptrend, triggering a "Buy" signal.
Conversely, when the price crosses below the Supertrend line, it signals a downtrend, triggering a "Sell" signal.
Both signals can be displayed on the chart with optional shapes (circles or arrows) and labels.
Highlighting Current Trend:
You can choose to highlight the trend with color shading. The areas above the price line are shaded green during an uptrend, while the areas below are shaded red during a downtrend. The highlighting is controlled through an input switch.
Customizable Inputs:
The script allows users to adjust the ATR period and multiplier, as well as control whether to show buy/sell signals and highlight trends.
The source price used for calculations can also be customized, providing flexibility for different market conditions.
Alerts for Trading Opportunities:
Alerts are configured to notify the user of key events:
When the Supertrend changes direction (from uptrend to downtrend, or vice versa).
When a buy or sell signal is generated.
3. Code Structure:
Input Settings: Users can customize the base ATR period, the multiplier for ATR, and control the display of signals and highlighting features.
Trend Calculation Logic: The code determines the uptrend and downtrend by comparing the current price against dynamic ATR-based thresholds. It ensures that trends persist until price action confirms a change.
Plotting and Signals: Plots the trend lines based on whether the trend is up or down. It also provides visual cues for buy and sell signals with circles and optional arrows/labels on the chart.
Alert System: Three alert conditions are defined: buy signal, sell signal, and a general trend direction change, allowing users to set up real-time notifications for trading actions.
4. Use Case:
This script is particularly useful for traders who:
Rely on trend-following strategies and want to enter trades based on price action.
Need visual confirmation of market direction changes.
Prefer to automate their trading signals with real-time alerts.
Want to adjust the sensitivity of the indicator by tweaking the ATR multiplier and period settings to suit different market conditions.
Overall, this dynamic Supertrend indicator can be a powerful tool for both manual and automated trading setups, offering flexibility and clarity in identifying trend shifts.
Standard Deviation-Based Fibonacci Band by zdmre This indicator is designed to better understand market dynamics by focusing on standard deviation and the Fibonacci sequence. This indicator includes the following components to assist investors in analyzing price movements:
Weighted Moving Average (WMA) : The indicator creates a central band by utilizing the weighted moving average of standard deviation. WMA provides a more current and accurate representation by giving greater weight to recent prices. This central band offers insights into the general trend of the market, helping to identify potential buying and selling opportunities.
Fibonacci Bands : The Fibonacci bands located above and below the central band illustrate potential support and resistance levels for prices. These bands enable investors to pinpoint areas where the price may exhibit indecisiveness. When prices move within these bands, it may be challenging for investors to discern the market's preferred direction.
Indecisiveness Representation : When prices fluctuate between the Fibonacci bands, they may reflect a state of indecisiveness. This condition is critical for identifying potential reversal points and trend changes. Investors can evaluate these periods of indecisiveness to develop suitable buying and selling strategies.
This indicator is designed to assist investors in better analyzing market trends and supporting their decision-making processes. The integration of standard deviation and the Fibonacci sequence offers a new perspective on understanding market movements.
#DYOR
The Bar Counter Trend Reversal Strategy [TradeDots]Overview
The Bar Counter Trend Reversal Strategy is designed to identify potential counter-trend reversal points in the market after a series of consecutive rising or falling bars.
By analyzing price movements in conjunction with optional volume confirmation and channel bands (Bollinger Bands or Keltner Channels), this strategy aims to detect overbought or oversold conditions where a trend reversal may occur.
🔹How it Works
Consecutive Price Movements
Rising Bars: The strategy detects when there are a specified number of consecutive rising bars (No. of Rises).
Falling Bars: Similarly, it identifies a specified number of consecutive falling bars (No. of Falls).
Volume Confirmation (Optional)
When enabled, the strategy checks for increasing volume during the consecutive price movements, adding an extra layer of confirmation to the potential reversal signal.
Channel Confirmation (Optional)
Channel Type: Choose between Bollinger Bands ("BB") or Keltner Channels ("KC").
Channel Interaction: The strategy checks if the price interacts with the upper or lower channel lines: For short signals, it looks for price moving above the upper channel line. For long signals, it looks for price moving below the lower channel line.
Customization:
No. of Rises/Falls: Set the number of consecutive bars required to trigger a signal.
Volume Confirmation: Enable or disable volume as a confirmation factor.
Channel Confirmation: Enable or disable channel bands as a confirmation factor.
Channel Settings: Adjust the length and multiplier for the Bollinger Bands or Keltner Channels.
Visual Indicators:
Entry Signals: Triangles plotted on the chart indicate potential entry points:
Green upward triangle for long entries.
Red downward triangle for short entries.
Channel Bands: The upper and lower bands are plotted for visual reference.
Strategy Parameters:
Initial Capital: $10,000.
Position Sizing: 80% of equity per trade.
Commission: 0.01% per trade to simulate realistic trading costs.
🔹Usage
Set up the number of Rises/Falls and choose whether if you want to use channel indicators and volume as the confirmation.
Monitor the chart for triangles indicating potential entry points.
Consider the context of the overall market trend and other technical factors.
Backtesting and Optimization:
Use TradingView's Strategy Tester to evaluate performance.
Adjust parameters to optimize results for different market conditions.
🔹 Considerations and Recommendations
Risk Management:
The strategy does not include built-in stop-loss or take-profit levels. It's recommended to implement your own risk management techniques.
Market Conditions:
Performance may vary in different market environments. Testing and adjustments are advised when applying the strategy to new instruments or timeframes.
No Guarantee of Future Results:
Past performance is not indicative of future results. Always perform due diligence and consider the risks involved in trading.
