I will help with python finance machine and deep learning trading analysis

About:

Proprietary quantitative models and algorithmic trading strategies for long/short equity optimization models with specific risk and return parameters specified by the investor profile, utilizing machine/deep learning, along with Q reinforcement learning agents.

Machine learning models utilizing multivariate/logistic regression, lasso/ridge regression, linear/quadratic discriminant analysis, decision trees, K neighbors, Naive Bayes, random forest, support vector machine, Adaptiveboost, GradientBoost, XGB, and portfolio optimization to maximize return and minimize volatility for various investor risk profiles.

Deep learning modeling using recurrent neural networks, Tensorflow, nltk, sentiment analyzer, Keras LSTM, and convolutional neural networks, in attempt to predict specific asset class forecasted prices through stocks, forex, bonds, futures, ETFs, and other derivatives.

Proprietary machine/deep learning long/short intraday algorithm utilizing the Interactive Brokers API, IB_Insync python library.

Reviews

samkestenbaum:Sam is wonderful to work with. I’m definitely going to work with him again.

mohsinhanif838:Amazing person to work with :)\n\nClosing this project and starting one more :)

kevin_hill_weyn:We were testing a new analytics methodology to improve trading bot performance. After running through this job the future is looking very bright, I can't wait to do more work with Maysamk!

maysamk19:Awesome individual to work with. Very intelligent. Will definitely work with again!

kevin_hill_weyn:His work almost conveniently came in.