The debate between algorithmic trading and discretionary trading has long been a topic of discussion in the trading world. This article presents a 5-year performance study comparing these two a…
Financial markets are dynamic and constantly shifting between different regimes or states. Market regime detection algorithms are designed to identify these changes, allowing trading strategies…
Social copy trading platforms have emerged as a popular way for investors to automate their trading by following the strategies of other traders. This article explores how these platforms work,…
Volume Profile is a powerful charting tool that displays trading volume at specific price levels over a specified period. Algorithmic trading strategies can leverage Volume Profile data to iden…
The Kelly Criterion is a formula used to determine the optimal amount of capital to allocate to a trade or investment. While it can potentially maximize long-term growth, it also involves signi…
Multi-timeframe analysis is a powerful technique that can significantly improve the accuracy of trading algorithms. By incorporating information from different timeframes, traders can gain a mo…
Cryptocurrency trading bots are software programs that automate trading strategies on cryptocurrency exchanges. While the promise of automated profits is alluring, finding truly high-performing…
Automating options trading can offer the potential for consistent income generation, but it requires a careful approach and a well-defined strategy. The Iron Condor is a popular options strategy …
Backtesting is a crucial step in developing algorithmic trading strategies. However, a major pitfall is "overfitting," where a strategy performs exceptionally well on historical data but fails …
Algorithmic trading can seem complex, but you can create a basic trend-following algorithm with minimal code using Python. This article demonstrates how to build a simple trend-following strategy…