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Financial Markets & Investment Research
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FinTech & SaaS Application Engineering
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- Seven backtesting pitfalls to avoid
- Cleaning market data with pandas
- Walk-forward testing explained
- How news sentiment models work
- Reading macro indicators: a practical primer
- Designing rule-based strategies: from idea to testable rules
- Building a reliable market data pipeline
- Technical indicators in code: SMA, EMA, RSI and ATR in pandas
- Overfitting in financial machine learning
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