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COGet started with algorithmic trading?
It’s the process of using code and data to automate trading decisions—based on logic, historical patterns, or machine learning.
If you're learning or building in this space, here are some of the **most common projects** you'll come across:
Popular Algorithmic Trading Projects:
- Time Series Forecasting
- Anomaly Detection
- Pairs Trading
- Volatility Modeling
- Sentiment-Based Trading
- Machine Learning Stock Screener
- Reinforcement Learning Agents
- Backtesting Engines
Popular ML Models Used to build these projects!
- LSTM – for time series forecasting of price and volatility
- Random Forest & XGBoost – classification/regression using engineered financial features
- Autoencoders – detect anomalies in returns or market behavior
- Isolation Forest – flag outliers in price or volume
- ARIMA/GARCH – model linear trends and volatility clustering in financial data
- Transformers – for multi-stock forecasting or analyzing textual data like earnings reports
Want help building one? Get access to my Machine Learning Engineer roadmap and let’s break the stock market! Comment “algorithm” and I’ll send you the access!
@codingmermaid.ai
