Simulated backtrading using financial technical indicators
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Updated
Feb 10, 2020 - Python
Simulated backtrading using financial technical indicators
An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting
A DBMS project with Streamlit Frontend for stock management simulation with Backtesting.
A platform for backtesting and getting live buy and sell signals of your strategies
This is a Backtrader example using ICICIDirect Breeze API
Research on quantitative trading system based on backtrader framework
Bacherlor's Thesis at University of Granada (UGR)
A simple crossover strategy implemented, backtested and optimized using Backtrader python framework and data fetched using Binance API.
backtetsting strategy with Optuna Parameter searching for three different assets
Python project to scrape copyfx expert advisors.
Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
Backtrader implementations
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).
Porting strategies from zwpython to Backtrader.
Algorithmic Trading with Sentiment Analysis using GenAI
Certis, A High-Quality Backtesting Engine
The backtesting tool base on backtrader framework
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