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Last active January 21, 2024 00:06
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Practical Resource

  1. https://edwardbetts.com/monograph/Sharpe_ratio
  2. https://medium.com/engineer-quant
  3. https://news.ycombinator.com/item?id=21610687
  4. https://silburt.github.io/blog/fundamental_analysis.html
  5. https://towardsdatascience.com/stock-analysis-in-python-a0054e2c1a4c
  6. https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading
  7. https://github.com/VivekPa/OptimalPortfolio
  8. https://github.com/faizanahemad/data-science-utils/tree/master/data_science_utils/financial
  9. https://github.com/PyDataBlog/Python-for-Data-Science
  10. https://gestaltu.com/2013/06/dynamic-asset-allocation-for-practitioners-part-2-risk-adjusted-momentum.html/
  11. https://towardsdatascience.com/efficient-frontier-portfolio-optimisation-in-python-e7844051e7f

Algo trading

  1. advanced algorithmic trading michael halls moore

Portfolio Algo

  1. Robert Kissell (Auth.) - The Science of Algorithmic Trading and Portfolio Management-Academic Press (2013)
  2. The Handbook of Portfolio Mathematics.

Risk Analysis

  1. https://www.investopedia.com/terms/r/risk-analysis.asp

Fundamental analysis

  1. http://investoracademy.org/top-10-fundamental-analysis-indicators-for-all-investors/
  2. https://www.benzinga.com/money/fundamental-analysis/
  3. https://www.investopedia.com/terms/f/fundamentalanalysis.asp
  4. http://i.investopedia.com/inv/pdf/tutorials/fundamentalanalysis_intro.pdf

On github

  1. https://github.com/EliteQuant/EliteQuant
  2. https://github.com/cantaro86/Financial-Models-Numerical-Methods
  3. https://github.com/georgezouq/awesome-ai-in-finance
  4. https://github.com/firmai/financial-machine-learning

Images

  1. Indicators
  2. returns
  3. books
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