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

blueskyherbal:Very good service. Professional and helpful. Timely as well. Highly recommend him even though that probably makes him too busy for me in the future!

slytrooper:Great Communication!

ravock:Still working with him, great guy, the kind of guy that won't stay on fiverr for long, so if I were you, I'd hire him while you can.

millermike667:Sam was very nice to work with. Highly recommend. I have asked other sellers and they seemed sort of hesitant but Sam jumped to with right away, he had a plan as soon as I brought up the project. He kept me updated the whole process and delivery was on time. Definitely hope to do more on the subject.

xaptiri:Good communication and will be happy to work with him again.