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Heikin Ashi Smoothed Buy Sell with Filters Backtest

Script from: TradingView

Intraday

Trend following

Momentum

Volume

Volatility

The Heikin Ashi Smoothed Buy Sell with Filters Backtest is a comprehensive Pine Script trading tool that generates buy/sell signals based on the smoothed Heikin Ashi method with additional filters for trend, momentum, volatility, and volume. It allows customization of trade settings and moving averages, visualizing market trends and signal strength on charts, and sends alerts when pre-defined conditions are met to capture trading opportunities.

C3.ai, Inc. (AI)

+ Heikin Ashi Smoothed Buy Sell with Filters Backtest

@ 4 h

2.24

Risk Reward

4.36 %

Total ROI

54

Total Trades

Cardio Diagnostics Holdings Inc. (CDIO)

+ Heikin Ashi Smoothed Buy Sell with Filters Backtest

@ 1 h

2.16

Risk Reward

15.46 %

Total ROI

174

Total Trades

Opendoor Technologies Inc (OPEN)

+ Heikin Ashi Smoothed Buy Sell with Filters Backtest

@ 2 h

1.65

Risk Reward

9.11 %

Total ROI

150

Total Trades

Marpai, Inc. (MRAI)

+ Heikin Ashi Smoothed Buy Sell with Filters Backtest

@ 2 h

1.63

Risk Reward

3.19 %

Total ROI

39

Total Trades

Aurora Innovation, Inc. (AUR)

+ Heikin Ashi Smoothed Buy Sell with Filters Backtest

@ 1 h

1.62

Risk Reward

26.50 %

Total ROI

301

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

3.34

Risk Reward

2.40 %

Total ROI

24

Total Trades
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Guide

How does the Heikin Ashi Smoothed Buy Sell with Filters Backtest strategy work ?

The Heikin Ashi Smoothed Buy Sell with Filters Backtest strategy employs a Pine Script to produce buy and sell signals on trading charts. It leverages the smoothed Heikin Ashi technique along with a mix of other powerful filters:

  • Trend Filter checks the current price against a long-term moving average to assess the overall market trend.
  • Momentum Filter uses the Relative Strength Index (RSI) to gauge whether the market is potentially overbought or oversold.
  • Volatility Filter assesses market volatility through the Average True Range (ATR) indicator, adding another layer of signal confirmation.
  • Volume Filters analyze trading volumes to reinforce the strength and reliability of signals.
  • Trading settings in the script allow traders to set precise target percentages and stop-loss levels for executing trades.
  • It calculates various types of moving averages that aid in confirming the market trend direction.

The integration of these elements results in a more refined approach to identifying potential buy and sell opportunities. Moreover, the strategy enhances signal visualization on charts, making it easier for traders to interpret and react to market movements. Additionally, it incorporates the mechanism to verify if trades have met predefined targets and stop levels, while also providing timely alerts to capture trading opportunities.

How to use the Heikin Ashi Smoothed Buy Sell with Filters Backtest strategy ?

This trading strategy is currently undefined as no details of the strategy have been provided, thus making it impossible to explain or translate into a manual TradingView method.

To trade this strategy manually on TradingView, you would normally need specific information on indicators, entry and exit conditions, and other parameters used in the script. Without such details, manual replication cannot be accurately described.

How to optimize the Heikin Ashi Smoothed Buy Sell with Filters Backtest trading strategy ?

Improving the "Heikin Ashi Smoothed Buy Sell with Filters Backtest" trading strategy manually on TradingView involves a series of fine-tuning steps to the existing set of indicators and filters. Assuming the foundational understanding of Heikin Ashi charting, RSI, ATR, and volume analysis, we aim to bolster the strategy's accuracy and risk management.

  • Enhance Trend Analysis: Experiment with different lengths and types of moving averages for the Trend Filter to optimize the assessment of market direction. Consider exponential moving averages for a more responsive approach to more recent price action.
  • Refine Momentum Filter: RSI settings may need adjustment. Typical settings use a period of 14; however, shorter or longer periods may better suit specific market conditions. Counteract false signals by applying a filter on RSI, for instance, only considering overbought signals when RSI exceeds 70 and oversold when it drops below 30.
  • Build on Volatility Filter: Improve the Volatility Filter by not only using ATR but also incorporating Bollinger Bands to identify abnormal price movements away from the mean which could signal potential market entries.
  • Volume Filter Precision: Combine the volume filter with volume-weighted moving averages to ensure that the signal is backed by significant trading activity, adding confidence to the signal's strength.
  • Trade Execution: Automate trade execution with preset target and stop-loss levels based on the price's historical performance in similar conditions to reduce emotional decision-making.
  • Diversify Moving Average Calculations: Test and utilize multiple moving averages, like a combination of short-term and long-term, to confirm trends from different perspectives.
  • Signal Quality: Introduce a confirmation technique where the signal is only acted upon if sustained over a set number of periods, or if complemented by a confirming indicator such as MACD.
  • Visualization Enhancements: Use chart markings and annotations on TradingView to note historical buy/sell signals to identify patterns in signal success rates and adjust strategy accordingly.
  • Alert Optimization: Set up comprehensive alert conditions that include multiple indicators converging, rather than relying on individual indicator alerts.

Tracking the performance of these adjustments over an extended period, through meticulous logging and backtesting, is essential. The trader should maintain a journal noting when the strategy performs well and under which market scenarios it fails to provide accurate signals. Over time, this will help in refining the individual components of the strategy to better align with the trader's specific trading style and risk appetite.

For which kind of traders is the Heikin Ashi Smoothed Buy Sell with Filters Backtest strategy suitable ?

The Heikin Ashi Smoothed Buy Sell with Filters Backtest strategy is ideally suited for traders who adhere to trend-following methodologies and those who prefer a technical and systematic approach to the markets. Its reliance on a smoothed Heikin Ashi method makes it particularly beneficial for:

  • Trend Traders: Those focusing on capturing long-term market movements.
  • Swing Traders: Traders looking to profit from swings within a prevalent trend, minimizing market 'noise.'
  • Position Traders: Individuals holding trades for several weeks to months, basing decisions on longer-term macro trends.

With its blend of volatility, volume, and momentum filters, it aligns well with a systematic trading style, where rules are strictly followed, and trade setups are based on specific technical criteria. It's less suitable for scalpers or day traders due to the smoothed nature of the data, which may lag behind real-time price changes.

Key Takeaways of Heikin Ashi Smoothed Buy Sell with Filters Backtest

  • Functionality: Utilizes a smoothed Heikin Ashi technique, enhanced by trend, volatility, momentum, and volume filters.
  • Trader Suitability: Designed for trend, swing, and position traders preferring systematic, rule-based strategies.
  • Operational Method: Offers buy/sell signals, pinned to specific technical conditions that are visualized directly on charts.
  • Strategy Utilization: Can be automated with preset targets and stop-losses, or traded manually by applying the conditions outlined within the strategy.
  • Optimization Approach: Fine-tune by adjusting moving average lengths and types, RSI periods, combining ATR with Bollinger Bands, and incorporating volume-weighted indicators.
  • Signal Confirmation: Introduce confirmatory measures like sustaining signals or adding the MACD to reduce false positives.
  • Visualization Improvement: Annotations on historical signals identify patterns that aid strategy refinement.
  • Alerts Setup: Configure complex alerts based on multiple converging indicators for more robust trade signals.
  • Risk Management: Employ stringent backtesting and keep a detailed log of strategy performance across different market conditions.
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