September 2025
Intermediate to advanced
368 pages
11h 36m
English
Content preview from Investing for Programmers
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11 Algorithmic trading
This chapter covers
- Quantitative analysis
- Testing strategies using backtesting
- Catalysts as game changers
- The difference between exchanges and brokers
- Executing orders with Python
- Order types and modalities
Now that you’ve mastered technical analysis with charts, this chapter introduces algorithms for trading strategies, transforming raw insights into actions. This step is the culmination of everything we’ve covered: collecting data, analyzing ratios and charts, assessing risks, and integrating machine learning (ML) and large language models (LLMs). We’ll bring it all together and outline scenarios for applying it.
Various scenarios affect trading strategies. Some algorithms perform better in bull markets than ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.