Extract data from exchanges and back-test - 26/04/2018 09:23 EDT

Hi.. I am very interested in your project, because I have much experience in such projects. I have good skills with the program language including C/C++, C#, java, php, asp.net, python, VB.NET. I have much experiences trading bot with Binance,bittrex api. I have also expert and smart technic with web scraping (1000 over projects for scraping), automation and bot(500 over projects for automation and bot), selenium, mobile (android, ios native and others). Especially, I am an expert in betting project and gambling games and sites(bet365, bwin, pinnacle, betfair...) ,,, shopping auto buyer(adidas, footlocker, eastbay, supreme and etc) So, I can solve the captcha automatically. Please contact me, then we can discuss about the details and the price. And I am free in recent days, so I can do my best for your project. Thanks.

Hello, I have the good knowledge of Extract data from exchanges and back-test. I have more than 5 years of experience in API, C Programming, Python, Software Architecture, Software Testing. We have worked on several similar projects before! We have worked on 300+ Projects. Please check the profile reviews. I can deliver your job with in your deadline. Please ping me for more discussion. I can assure the 100% job satisfaction. Thanks,

Hello, I'm a Python developer with a lot of experience in crypto APIs like binance. Please contact me over chat to discuss more. best regards.

I have extensive experience in python and financial markets and Crypto currencies, and would love to help you out on this project. I currently work as a consultant for a long/short equity hedge fund part/time in Palo Alto, CA and have a masters in financial mathematics/engineering at Santa Clara University. I think I would be of great help to you. My credentials are below: * Responsible for creating 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. •Created predictive vectorized/event-based 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 crypto, fx, and stocks. •Responsible for 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, crypto, bonds, futures, ETFs, and other derivatives. •Designed a proprietary machine/deep learning long/short intraday crypto futures algorithm utilizing the Interactive Brokers API, IB_Insync python mod

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Here is the reference number: 2501 Hi, we will be able to build you this project using NodeJS. Please list out the currency pairs you want to use and all the algorithms and we can discuss it in detail.