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Why PnL Correlation Fails for Same-Market Strategy Portfolios
PnL Correlation vs. Overlap Detection – A Better Way to Think About Diversification? When building a portfolio of trading...
January 30, 20260 -
Swap Fees – The Hidden Cost That Breaks Trading Systems
When traders talk about costs, the conversation almost always revolves around commissions and spreads. Systematic traders may go a...
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Why Most Machine-Learning Trading Strategies Fail
For many quantitative traders, the journey begins with a sense of optimism: you build a machine-learning classifier, train it...
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Adaptive Position Sizing in Algorithmic Trading
Introduction One of the most important challenges in algorithmic trading is controlling losses during drawdowns while maintaining upside potential....
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The Diminishing Benefits of Diversification
Diversification is a core principle in portfolio management, aimed at reducing risk by spreading investments across multiple instruments. However,...
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Reducing Position Sizing During Drawdowns
Managing risk is paramount in live trading, especially when your equity curve enters a drawdown phase. One of the...
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Skewness in Trading Strategy PnL Distributions
In trading, analyzing the distribution of profit and loss (PnL) can offer valuable insights into the performance characteristics and...
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Reward: Risk vs. Accuracy in Trading Strategies
In the world of trading and investing, two crucial metrics that determine the effectiveness and profitability of a trading...
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Precision vs. Recall in ML Classification
In financial machine learning, particularly when predicting between three classes like “buy,” “sell,” and “hold,” the choice between optimizing...
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Calculating Value-at-Risk using Historical Simulation
The Historical Simulation Method is a straightforward approach to calculate Value at Risk (VaR) by using historical market data...