Stock analysis/prediction model using machine learning
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Updated
Dec 12, 2017 - Python
Stock analysis/prediction model using machine learning
Bacherlor's Thesis at University of Granada (UGR)
Trading Strategy Development
Simulated backtrading using financial technical indicators
MQL5-JSON-API server for trading community
Research on quantitative trading system based on backtrader framework
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
A platform for backtesting and getting live buy and sell signals of your strategies
Docker image build for backtrader running on Jupyter Notebook / Anaconda 3 / Python 3
Dive into Algo trading with our functioning trading bot which utilizes Python, AWS Chalice, Alpaca, & TradingView.
Backtrader implementations
Python Backtrader - Metaquotes MQL5 - API
This is complete algo trading package is for downloading historical OHLC data for backtesting and performing live trading on Interactive Brokers. For learning step by step procedure to recreate this is also included. OHLC data for backtesting and performing live trading on interactive brokers.
Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
Vix index is implemented in S&P500 historical data.
Binance API integration with Backtrader.
Porting strategies from zwpython to Backtrader.
Framework for backtesting quantitative trading strategies, allowing easy data visualisation, performance comparison and analysis.
In this project, I've provided some examples of what I learned about the Backtrader python package by following along with Part Time Larry's "Algorithmic Trading with Python and Backtrader" videos on youtube. The current project has two datasets (Oracle stock and S&P 500) and two trading strategies (Golden Cross and Buy & Hold for 5 days).
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