Cryptocurrencies algorithmic trading strategies
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Updated
Nov 20, 2018 - Python
Cryptocurrencies algorithmic trading strategies
Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and predicts the price of the next timeframe.
Scalable, event-driven, deep-learning-friendly backtesting library
Machine learning model to predict the sign of the VIX Index for the next day.
An environment to develop and test trading strategies using Neutrino API
An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.
Orb Crypto Bot is a trading robot for BTCUSDT written in python
BBP is a tradingview indicator created by Nico.Muselle in pinescript. I have taken the trouble to adapt the code to python and add a small improvement.
Financial Portfolio Optimization with amplpy
Deep Learning for Algorithmic Trading with PyTorch and PyTorch Lightning
Laravel application template for creating and executing algorithmic trading strategies, allowing users to automate their trading decisions based on customizable rules and conditions.
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