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Insights, tutorials, and best practices for algorithmic trading

Featured Articles

G
Beginner
Alex Chen5 min readApr 15, 2025

Getting Started with AQL: Your First Strategy

Learn how to write a simple moving average crossover strategy in AQL in less than 10 minutes.

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A
Advanced
Sarah Johnson8 min readApr 10, 2025

Advanced Risk Management Techniques

Explore how to implement sophisticated risk controls in your algorithmic trading strategies.

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L
AI
Michael Wong10 min readApr 5, 2025

Leveraging Machine Learning in AQL

How to combine traditional indicators with machine learning models for improved performance.

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All Articles

Backtesting

Backtesting Best Practices

Common pitfalls to avoid when backtesting your trading strategies and how to achieve more reliable results.

Mar 28, 20257 min read
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Development

Custom Indicator Development

A step-by-step guide to creating your own technical indicators in AQL.

Mar 22, 202512 min read
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Advanced

Understanding Market Microstructure

Deep dive into order books, liquidity, and how these factors affect your algorithmic trading strategy.

Mar 15, 202515 min read
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Risk Management

Volatility-Based Position Sizing

Learn how to adjust your position sizes based on market volatility for more consistent returns.

Mar 10, 20256 min read
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Strategy

Momentum vs Mean Reversion Strategies

Compare and contrast these two popular trading approaches and when to use each one.

Mar 5, 20259 min read
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Optimization

Optimizing Strategy Parameters

A guide to parameter optimization techniques including grid search, genetic algorithms, and Bayesian methods.

Feb 28, 202511 min read
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Risk Warning

Trading involves market risk and may not be suitable for everyone. Before trading, consider your experience, objectives, and risk tolerance.

Past performance doesn't guarantee future results. You should understand the risks and be prepared for potential losses, including your initial investment.

If you're unsure about any investment, consider seeking independent financial advice.

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