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

mrxoxoxo:I've booked Sam in order to analyze my strategy and see if parameters, indicators can be optimized. \nAfter a few days he could deliver an astonishing work and made to improve my strategy by far more that we were expecting.I will work definitely with Sam again and arranged already the second project with him! A great guy with amazing skills!Thanks!

jonathanriley11:Went above and beyond to help. Did a great job. Will be using again.

furryfashionist:Sam is a hidden gem on fiverr! His documentation is very thorough, and code is easy to read and edit. He delivered much more than I expected. Already thinking about another order. A+

andrewjones123:Sams the man.. knows his candlestick from his broomsticks and pythons from cobra's.. you'd be a fool not to hire him

andrewjones123:Sam's the man...