Pinned Repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
arimax-options
System for using ARIMAX models to trade options on the S&P 500.
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
Financial-ML
Repo for financial machine learning algorithms implementation as well as other useful tools for quant trading on QuantConnect
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Machine-Learning-on-Predicting-Options-Pricing
Performed regression and classification analysis on historical option trading data to forecast options price and whether to purchase options, with over 99% accuracy for value prediction and 6.08% classification error using tree-based models
mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Options-Project
Research on options using machine learning algorithms trained on historical data.
Options-Trading-using-Artificial-Neural-Network-and-Algorithmic-Trading
A system which uses AI / Machine Learning algorithms and recommends the appropriate options to buy/sell, so that trader can maximise his profits. It provides advanced technical analysis for profitable stock market trading and accurate buy & sells alerts along with entry and exit levels
Laurenrg's Repositories
Laurenrg/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
Laurenrg/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Laurenrg/Options-Trading-using-Artificial-Neural-Network-and-Algorithmic-Trading
A system which uses AI / Machine Learning algorithms and recommends the appropriate options to buy/sell, so that trader can maximise his profits. It provides advanced technical analysis for profitable stock market trading and accurate buy & sells alerts along with entry and exit levels
Laurenrg/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Laurenrg/anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Laurenrg/arimax-options
System for using ARIMAX models to trade options on the S&P 500.
Laurenrg/Financial-ML
Repo for financial machine learning algorithms implementation as well as other useful tools for quant trading on QuantConnect
Laurenrg/Machine-Learning-on-Predicting-Options-Pricing
Performed regression and classification analysis on historical option trading data to forecast options price and whether to purchase options, with over 99% accuracy for value prediction and 6.08% classification error using tree-based models
Laurenrg/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Laurenrg/Options-Project
Research on options using machine learning algorithms trained on historical data.
Laurenrg/Options_Trading_ML
Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Machine Lerning models for evaluation. P2.
Laurenrg/optopsy
A nimble options backtesting library for Python
Laurenrg/Python-Machine-Learning-Third-Edition
Laurenrg/QuantConnect-Code-for-Traders
Proof of concept for QuantConnect
Laurenrg/stefan-jansen-machine-learning-for-trading
Laurenrg/Stock-Visulize-and-Predict
A Quantitative Finance Project to Visualize Stocks and Predict Prices using Deep Learning Models