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

kevin_hill_weyn:Damn that was fast and excellent.

maysamk19:Type a comment…

mauriciomore657:You will be getting a lot more than what you pay for. He has a masters in financial mathematics and he knows what he is talking about! Very impressed.

maysamk19:Outstanding Experience!

mrxoxoxo:outstanding work! Sam created exactly what we were looking for. thanks!