AmiBroker Trading Strategies

AmiBroker is a popular technical analysis software used by traders and investors to analyze financial markets and develop trading strategies. With its powerful features and flexibility, AmiBroker has become a valuable tool for both novice and experienced traders alike. In this article, we will explore the world of AmiBroker trading strategies, delving into its capabilities, advantages, and some commonly used strategies to help you make the most of this robust platform.

AmiBroker Trading Strategies
AmiBroker Trading Strategies

Understanding AmiBroker: An Overview

Before we delve into the strategies, let’s briefly understand what AmiBroker is and why it’s so widely used in the trading community.

AmiBroker is a comprehensive charting and technical analysis software designed to analyze and visualize market data. It allows traders to create, test, and implement various trading strategies, making it a powerful platform for both manual and automated trading.


Some key features of AmiBroker include:

A. Advanced Charting Capabilities

AmiBroker provides an extensive range of chart types, indicators, and drawing tools, allowing traders to perform in-depth technical analysis of price movements and identify potential trading opportunities.

B. Customizable AFL Language

AmiBroker Formula Language (AFL) is a powerful scripting language that enables users to create their custom indicators, scans, explorations, and trading systems. This flexibility makes it an attractive choice for traders with unique strategies.

C. Backtesting and Optimization

One of the standout features of AmiBroker is its ability to backtest and optimize trading strategies. Traders can test their strategies against historical data to assess their performance and fine-tune parameters for optimal results.

D. Automated Trading

AmiBroker supports automation through its integration with various brokerage platforms. Traders can execute their strategies automatically, reducing manual intervention and emotions in trading.

Common AmiBroker Trading Strategies

Now that we have a solid understanding of AmiBroker let’s explore some widely used trading strategies that can be implemented on the platform.

A. Moving Average Crossover Strategy

The Moving Average Crossover Strategy is one of the simplest and most popular strategies among traders. It involves two moving averages – a short-term moving average and a long-term moving average. When the short-term moving average crosses above the long-term moving average, a buy signal is generated, and when it crosses below, a sell signal is triggered.

Traders can easily implement this strategy in AmiBroker using the AFL language to define the moving averages and set the buy/sell conditions.

B. RSI Divergence Strategy

The Relative Strength Index (RSI) Divergence Strategy aims to identify potential trend reversals by analyzing divergences between the RSI indicator and price movements. If the price makes a new high while the RSI fails to surpass its previous high, it indicates a bearish divergence, suggesting a potential sell signal. Conversely, a bullish divergence occurs when the price makes a new low, but the RSI fails to do so, indicating a potential buy signal.

AmiBroker’s flexibility allows traders to customize their RSI divergence conditions and combine them with other indicators for more robust signals.

C. Breakout Strategy

The Breakout Strategy revolves around identifying significant price levels, such as support and resistance, and entering trades when the price breaks above resistance or below support. Breakout traders aim to catch the price as it starts a new trend or continues an existing one.

AmiBroker provides a wide array of tools to detect support and resistance levels, making it ideal for implementing and testing breakout strategies.

D. Mean Reversion Strategy

The Mean Reversion Strategy is based on the assumption that prices will tend to revert to their historical average or mean over time. When the price deviates significantly from its mean, the strategy generates a signal to enter a trade in the opposite direction, anticipating a reversion to the mean.

Traders can customize the parameters in AmiBroker to define what constitutes a significant deviation from the mean and develop robust mean reversion trading strategies.

Backtesting and Optimization

Once you have defined your trading strategies in AmiBroker using AFL, it’s crucial to test them thoroughly to assess their viability and performance. AmiBroker’s backtesting feature allows you to evaluate your strategies against historical market data, giving you valuable insights into their profitability and risk.

During the backtesting process, pay attention to the following:

A. Profit and Loss Analysis

Analyze the overall profit and loss of the strategy over the testing period. Look for consistency in gains and losses and avoid strategies with high volatility and erratic performance.

B. Drawdowns

Drawdowns represent the peak-to-trough decline during a specific period of a strategy. Excessive drawdowns can lead to significant losses and may suggest a need for strategy refinement.

C. Risk-Adjusted Returns

Consider risk-adjusted returns by analyzing metrics such as the Sharpe ratio and Sortino ratio. These ratios help evaluate how well the strategy performs concerning the risk taken.

D. Optimization

AmiBroker allows you to optimize your trading strategy by testing different parameter combinations to find the most profitable set of inputs. However, be cautious not to over-optimize, as this could lead to curve-fitting and unreliable results.

Implementing Automated Trading

Once you have developed and tested your AmiBroker trading strategy, you can take advantage of its automation capabilities to execute trades automatically. Automated trading can eliminate human emotions, ensure timely execution, and make it easier to manage multiple positions simultaneously.

A. Broker Integration

AmiBroker is compatible with various brokerage platforms, allowing seamless integration for automated trading. Ensure that your broker supports the necessary APIs and connectivity for a smooth trading experience.

B. Paper Trading

Before going live with your automated strategy, consider using the paper trading feature within AmiBroker. Paper trading allows you to simulate live trading without risking real capital, providing an opportunity to evaluate your strategy’s performance in real-time market conditions.

Risk Management and Trading Psychology

Regardless of the trading strategy you choose, effective risk management and understanding trading psychology are essential components of successful trading.

A. Position Sizing

Implement proper position sizing techniques to ensure that you don’t risk too much of your capital on a single trade. Avoid over-leveraging, as it can lead to significant losses.

B. Risk-Reward Ratio

Maintain a favorable risk-reward ratio for your trades. A positive risk-reward ratio means that the potential profit of a trade exceeds the potential loss, increasing the likelihood of overall profitability.

C. Emotion Management

Maintain discipline and control over your emotions during trading. Fear and greed can cloud judgment and lead to impulsive decisions, which may negatively impact your trading results.


AmiBroker is a powerful tool that empowers traders to develop, test, and implement various trading strategies. Whether you are a novice or an experienced trader, AmiBroker’s features and flexibility offer countless possibilities for creating profitable trading systems. However, remember that no trading strategy is foolproof, and risk management remains a critical aspect of successful trading. As you explore AmiBroker and develop your strategies, continually refine your approach, and stay disciplined in your trading journey.

Always remember to stay updated with the latest market trends and continuously learn and adapt your strategies to evolving market conditions. Happy trading!

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