Algorithmic trading references

README.md

Reading up

• Intro article https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp

• Technical analysis - https://www.investopedia.com/terms/t/technicalanalysis.asp

• Investopedia has some good links on various indicators, e.g. RSI, MACD, Ichimoku cloud etc.

• Datacamp has some good blogs

I also liked watching some if this guy's video: https://www.youtube.com/c/Darwinexchange/videos

• Develop algo trading - https://www.youtube.com/watch?v=hE7vKLCHyEs

• Using indicators for trading - https://www.youtube.com/watch?v=pWL0OT9gsic

• Leading and lagging indicators - https://www.youtube.com/watch?v=pWL0OT9gsic

Some books (haven't read in full, but gave me some head start to read up)

• Quantiative finance for dummies - https://www.amazon.com/Quantitative-Finance-Dummies-Steve-DPhil/dp/1118769465

• https://www.amazon.com/Algorithmic-Trading-Winning-Strategies-Rationale/dp/1118460146

• Quantitative Trading - https://www.myquant.cn/uploads/default/original/1X/4c7037365a4bf1623734c1c899baed7855061ace.pdf

• Python for finance

Libraries

• Stock data - https://pypi.org/project/yfinance/ (tutorial, one of many: https://medium.com/nerd-for-tech/all-you-need-to-know-about-yfinance-yahoo-finance-library-fa4c6e48f08e)
• Crypto currency data - https://min-api.cryptocompare.com/documentation
• Indicators - https://technical-analysis-library-in-python.readthedocs.io/en/latest/
• Plotting - https://github.com/matplotlib/mplfinance
• Time series models - https://www.statsmodels.org/stable/index.html

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