From fcb08ee5005d9151d160c3ab0071d27bd888755e Mon Sep 17 00:00:00 2001 From: Derek Snow Date: Thu, 21 Mar 2019 21:07:08 +0000 Subject: [PATCH] Update README.md --- README.md | 302 +++++++++++++++++++++++++----------------------------- 1 file changed, 139 insertions(+), 163 deletions(-) diff --git a/README.md b/README.md index b1ebfb7..72f3eb8 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,7 @@ -# FirmAI Finance II - - -# Trading -## Deep Learning - +FirmAI Finance II +Trading +Deep Learning - Deep Learning - https://github.com/keon/deepstock - Deep Learning II - https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks - Deep Learning III - https://github.com/Rachnog/Deep-Trading @@ -16,185 +13,164 @@ - Neural Network - https://github.com/VivekPa/IntroNeuralNetworks - Neural networks to predict stock prices - -## Reinforcement Learning - -Reinforcement Learning - https://github.com/kh-kim/stock_market_reinforcement_learning -Reinforcement Learning II - https://github.com/deependersingla/deep_trader -Reinforcement Learning II - https://github.com/samre12/deep-trading-agent - Github -RL III - https://github.com/deependersingla/deep_trader -RL IV - https://github.com/jjakimoto/DQN -Pair Trading RL - https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading -RL VI - https://github.com/gstenger98/rl-finance - -## Other Models - -Micture Models I - https://github.com/BlackArbsCEO/Mixture_Models -Mixture Models II - https://github.com/BlackArbsCEO/mixture_model_trading_public -Scikit-learn Stock Prediction - https://github.com/robertmartin8/MachineLearningStocks -Fundamental LT Forecasts - https://github.com/Hvass-Labs/FinanceOps -Short-Term Movement Cues - https://github.com/anfederico/Clairvoyant +Reinforcement Learning +- Reinforcement Learning - https://github.com/kh-kim/stock_market_reinforcement_learning +- Reinforcement Learning II - https://github.com/deependersingla/deep_trader +- Reinforcement Learning II - https://github.com/samre12/deep-trading-agent - Github +- RL III - https://github.com/deependersingla/deep_trader +- RL IV - https://github.com/jjakimoto/DQN +- Pair Trading RL - https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading +- RL VI - https://github.com/gstenger98/rl-finance +Other Models +- Mixture Models I - https://github.com/BlackArbsCEO/Mixture_Models +- Mixture Models II - https://github.com/BlackArbsCEO/mixture_model_trading_public +- Scikit-learn Stock Prediction - https://github.com/robertmartin8/MachineLearningStocks +- Fundamental LT Forecasts - https://github.com/Hvass-Labs/FinanceOps +- Short-Term Movement Cues - https://github.com/anfederico/Clairvoyant -# Data Processing - -Advanced ML - https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises - Exercises too Financial Machine Learning (De Prado). -Advanced ML II - https://github.com/hudson-and-thames/research - More implementations of Financial Machine Learning (De Prado). +Data Processing +- Advanced ML - https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises - Exercises too Financial Machine Learning (De Prado). +- Advanced ML II - https://github.com/hudson-and-thames/research - More implementations of Financial Machine Learning (De Prado). -# Portfolio Selection and Optimisation - -[Distribution Characteristic Optimisation](https://github.com/VivekPa/OptimalPortfolio) - Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. -Reinforcement Learning - https://github.com/filangel/qtrader -Efficient Frontier - https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb -Policy Gradient Portfolio - https://github.com/ZhengyaoJiang/PGPortfolio -Deep Portfolio Theory - https://github.com/tcloaa/Deep-Portfolio-Theory -401K Portfolio Optimisation - https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb +Portfolio Selection and Optimisation +- Distribution Characteristic Optimisation - Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account. +- Reinforcement Learning - https://github.com/filangel/qtrader +- Efficient Frontier - https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb +- Policy Gradient Portfolio - https://github.com/ZhengyaoJiang/PGPortfolio +- Deep Portfolio Theory - https://github.com/tcloaa/Deep-Portfolio-Theory +- 401K Portfolio Optimisation - https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb -## Online Portfolio - -https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynbhttps://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb -OLMAR - https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb +Online Portfolio +- https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynbhttps://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb +- OLMAR - https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb -# Factor and Risk Analysis: - -https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb -Pyfolio - https://github.com/quantopian/pyfolio -Risk Basic - https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb -CAPM - https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb -Factor Analysis - https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb - Factor analysis for mutual funds. - -- [VaR GaN](https://github.com/hamaadshah/market_risk_gan_keras) - Estimate Value-at-Risk for market risk management using Keras and TensorFlow. - -VaR - https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb -Python for Finance - https://github.com/yhilpisch/py4fi/tree/master/jupyter36 -Mathematical Finance - https://github.com/Auquan/Tutorials -Performance Analysis - https://github.com/quantopian/alphalens -Quant Finance - https://github.com/mrefermat/quant_finance -Risk and Return - https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials -Convex Optimisation - https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb -Factor Analysis - https://github.com/alpha-miner/alpha-mind/tree/master/notebooks -Quant Factors - https://github.com/mrefermat/quant_finance +Factor and Risk Analysis: +- https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb +- Pyfolio - https://github.com/quantopian/pyfolio +- Risk Basic - https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb +- CAPM - https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb +- Factor Analysis - https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb - Factor analysis for mutual funds. +- VaR GaN - Estimate Value-at-Risk for market risk management using Keras and TensorFlow. +- VaR - https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb +- Python for Finance - https://github.com/yhilpisch/py4fi/tree/master/jupyter36 +- Mathematical Finance - https://github.com/Auquan/Tutorials +- Performance Analysis - https://github.com/quantopian/alphalens +- Quant Finance - https://github.com/mrefermat/quant_finance +- Risk and Return - https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials +- Convex Optimisation - https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb +- Factor Analysis - https://github.com/alpha-miner/alpha-mind/tree/master/notebooks +- Quant Factors - https://github.com/mrefermat/quant_finance -## Derivatives and Hedging: - -Options - https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D -Derivative Markets: https://github.com/broughtj/Fin6470/tree/master/Notebooks -Black Scholes - https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb -Computational Derivatives - https://github.com/chenbowen184/Computational_Finance -[Reinforcement Learning](https://github.com/FinTechies/HedgingRL) - Hedging portfolios with reinforcement learning. -Delta Hedging - https://github.com/RobinsonGarcia/delta-hedging -Options Risk Measures - https://github.com/wanglouis49/risk_estimation -Pairs Trading - https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb -Derivatives Python - https://github.com/yhilpisch/dawp/tree/master/python36 -Volatility and Variance Derivatives - https://github.com/yhilpisch/lvvd/tree/master/lvvd -Options - https://github.com/PHBS/2018.M1.ASP/tree/master/py -Statistical Finance - https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments -Option Strategies - https://github.com/rstreppa/valuation-OptionStrategies -Derman - https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb -Hull White - https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb +Derivatives and Hedging: +- Options - https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D +- Derivative Markets: https://github.com/broughtj/Fin6470/tree/master/Notebooks +- Black Scholes - https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb +- Computational Derivatives - https://github.com/chenbowen184/Computational_Finance +- Reinforcement Learning - Hedging portfolios with reinforcement learning. +- Delta Hedging - https://github.com/RobinsonGarcia/delta-hedging +- Options Risk Measures - https://github.com/wanglouis49/risk_estimation +- Pairs Trading - https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb +- Derivatives Python - https://github.com/yhilpisch/dawp/tree/master/python36 +- Volatility and Variance Derivatives - https://github.com/yhilpisch/lvvd/tree/master/lvvd +- Options - https://github.com/PHBS/2018.M1.ASP/tree/master/py +- Statistical Finance - https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments +- Option Strategies - https://github.com/rstreppa/valuation-OptionStrategies +- Derman - https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb +- Hull White - https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb -# Unsupervised: - -PCA - https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading -Fund Clusters - https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb -Fund and Broker Clusters - https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb -VRA Stock Embedding - https://github.com/ml-hongkong/stock2vec -Industry Clustering - https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries +Unsupervised: +- PCA - https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading +- Fund Clusters - https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb +- Fund and Broker Clusters - https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb +- VRA Stock Embedding - https://github.com/ml-hongkong/stock2vec +- Industry Clustering - https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries -# Textual: - -10-K Keywords extraction -NLP - https://github.com/toamitesh/NLPinFinance -[Earning call transcripts](https://github.com/lin882/WebAnalyticsProject) - Correlation between mutual fund investment decision and earning call transcripts. -[Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds) - Return performance and mutual fund selection. -[Fund classification](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb) - Fund classification using text mining and NLP. -NLP Event - https://github.com/yuriak/DLQuant -[Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis) - Sentiment, distance and proportion analysis for trading signals. -[Extensive NLP](https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb) - Comprehensive NLP techniques for accounting research. - -- [Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb) - Using deep-learning frameworks to identify accounting anomalies. -# Fixed Income - -Vasicek - https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb -Black Derman - https://github.com/RobinsonGarcia/fixed-income/blob/master/1.0%20Black%20Derman%20Toy.ipynb -Binomial Tree - https://github.com/hy-lei/math-finance-exercise +Textual: +- 10-K Keywords extraction +- NLP - https://github.com/toamitesh/NLPinFinance +- Earning call transcripts - Correlation between mutual fund investment decision and earning call transcripts. +- Buzzwords - Return performance and mutual fund selection. +- Fund classification - Fund classification using text mining and NLP. +- NLP Event - https://github.com/yuriak/DLQuant +- Financial Sentiment Analysis - Sentiment, distance and proportion analysis for trading signals. +- Extensive NLP - Comprehensive NLP techniques for accounting research. +- Accounting Anomalies - Using deep-learning frameworks to identify accounting anomalies. +Fixed Income +- Vasicek - https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb +- Black Derman - https://github.com/RobinsonGarcia/fixed-income/blob/master/1.0%20Black%20Derman%20Toy.ipynb +- Binomial Tree - https://github.com/hy-lei/math-finance-exercise -## Alternative Finance - -[Kiva Crowdfunding](https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb) - Exploratory data analysis. -[Venture Capital](https://github.com/julian-chan/etothex) - https://github.com/julian-chan/etothex -Venture Capital NN - https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring -Private Equity - https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb -VC OLS - https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb -Watch Valuation - https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb -Art Valuation - https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb -Blockchain - https://github.com/nud3l/dInvest - -# Extended Research: - -HFT - https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy - High frequency trading -Commodity - https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb -Quant Finance - https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading -Finance Graph Theory - https://github.com/AvijitGhosh82/Finance_Graph_Theory -Computational Finance - https://github.com/hyeukjung93/Computational-Methods-in-Finance -Real Estate Property Fraud - https://github.com/aviroop1/Real_Estate_Property_Fraud -Behavioural Economics - https://github.com/pcmichaud/notebooks -Bayesian Finance - https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb -Bayesian Finance - https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb -Currency PCA - https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipyn -Backtests - https://github.com/AlgoTraders/stock-analysis-engine -High Frequency - https://github.com/cswaney/prickle -Financial Economics - https://github.com/rsvp/fecon235/tree/master/nb -Critical Transitions - https://github.com/ryanholbrook/critical-transitions -Economic Foundations - https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations -Corporate Finance - https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance -M&A- https://github.com/atulram/Finance-and-Stocks -Lifecycle - https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb -Computational Finance - https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance -Liquidity and Momentum - https://github.com/mrefermat/quant_finance/stargazers -Meta labeling and signal efficacy - https://github.com/hudson-and-thames/presentations/blob/master/Does%20Meta%20Labeling%20Add%20to%20Signal%20Efficacy.pdf -Good AFML notes: http://reasonabledeviations.science/notes/adv_fin_ml/ -Good Blockchain Notes - http://reasonabledeviations.science/notes/princeton_bitcoin/ -Quantopian Lecture Notes - http://reasonabledeviations.science/notes/quantopian_lectures/ -[http://www.unofficialgoogledatascience.com/2017/04/our-quest-for-robust-time-series.html](http://www.unofficialgoogledatascience.com/2017/04/our-quest-for-robust-time-series.html) How Google does series predictions +Alternative Finance +- Kiva Crowdfunding - Exploratory data analysis. +- Venture Capital - https://github.com/julian-chan/etothex +- Venture Capital NN - https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring +- Private Equity - https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb +- VC OLS - https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb +- Watch Valuation - https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb +- Art Valuation - https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb +- Blockchain - https://github.com/nud3l/dInvest +Extended Research: +- HFT - https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy - High frequency trading +- Commodity - https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb +- Quant Finance - https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading +- Finance Graph Theory - https://github.com/AvijitGhosh82/Finance_Graph_Theory +- Computational Finance - https://github.com/hyeukjung93/Computational-Methods-in-Finance +- Real Estate Property Fraud - https://github.com/aviroop1/Real_Estate_Property_Fraud +- Behavioural Economics - https://github.com/pcmichaud/notebooks +- Bayesian Finance - https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb +- Bayesian Finance - https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb +- Currency PCA - https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipyn +- Backtests - https://github.com/AlgoTraders/stock-analysis-engine +- High Frequency - https://github.com/cswaney/prickle +- Financial Economics - https://github.com/rsvp/fecon235/tree/master/nb +- Critical Transitions - https://github.com/ryanholbrook/critical-transitions +- Economic Foundations - https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations +- Corporate Finance - https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance +- M&A- https://github.com/atulram/Finance-and-Stocks +- Lifecycle - https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb +- Computational Finance - https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance +- Liquidity and Momentum - https://github.com/mrefermat/quant_finance/stargazers +- Meta labeling and signal efficacy - https://github.com/hudson-and-thames/presentations/blob/master/Does%20Meta%20Labeling%20Add%20to%20Signal%20Efficacy.pdf +- Good AFML notes: http://reasonabledeviations.science/notes/adv_fin_ml/ +- Good Blockchain Notes - http://reasonabledeviations.science/notes/princeton_bitcoin/ +- Quantopian Lecture Notes - http://reasonabledeviations.science/notes/quantopian_lectures/ +- http://www.unofficialgoogledatascience.com/2017/04/our-quest-for-robust-time-series.html How Google does series predictions -# Data - -[Employee Count SEC Filings](https://github.com/healthgradient/sec_employee_information_extraction) -[SEC Parsing](https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb) -[Open Edgar](https://github.com/LexPredict/openedgar) -[EDGAR](https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb) - A walk-through in how to obtain EDGAR data. -[IRS](http://social-metrics.org/sox/) - Accessing and parsing IRS filings. -[Rating Industries](http://www.ratingshistory.info/) -[Web Scraping (FirmAI)](https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data) - Web scraping solutions for Facebook, Glassdoor, Instagram, Morningstar, Similarweb, Yelp, Spyfu, Linkedin, Angellist. -[Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html) - Rutgers corporate financial datasets. -[Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html) - Rutgers non-financial corporate dataset. -[http://finance.yahoo.com/](http://finance.yahoo.com/) -[https://fred.stlouisfed.org/](https://fred.stlouisfed.org/) -[https://stooq.com](https://stooq.com) -[https://github.com/timestocome/StockMarketData](https://github.com/timestocome/StockMarketData) +Data +- Employee Count SEC Filings +- SEC Parsing +- Open Edgar +- EDGAR - A walk-through in how to obtain EDGAR data. +- IRS - Accessing and parsing IRS filings. +- Rating Industries +- Web Scraping (FirmAI) - Web scraping solutions for Facebook, Glassdoor, Instagram, Morningstar, Similarweb, Yelp, Spyfu, Linkedin, Angellist. +- Financial Corporate - Rutgers corporate financial datasets. +- Non-financial Corporate - Rutgers non-financial corporate dataset. +- http://finance.yahoo.com/ +- https://fred.stlouisfed.org/ +- https://stooq.com +- https://github.com/timestocome/StockMarketData -# Courses - -Mathematical Finance - https://github.com/yadongli/nyumath2048 -Algo Trading - https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading -Python for Finance - https://github.com/siaen/python_finance_course -Handson Python for Finance - https://github.com/PacktPublishing/Hands-on-Python-for-Finance -Machine Learning for Trading (Good) - https://github.com/stefan-jansen/machine-learning-for-trading -ML Specialisation - https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization -[Risk Management](https://github.com/andrey-lukyanov/Risk-Management) - Finance risk engagement course resources. - +Courses +- Mathematical Finance - https://github.com/yadongli/nyumath2048 +- Algo Trading - https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading +- Python for Finance - https://github.com/siaen/python_finance_course +- Handson Python for Finance - https://github.com/PacktPublishing/Hands-on-Python-for-Finance +- Machine Learning for Trading (Good) - https://github.com/stefan-jansen/machine-learning-for-trading +- ML Specialisation - https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization +- Risk Management - Finance risk engagement course resources.