an backtest practice work

Simulated backtrading using financial technical indicators

Testing Basic Quant Strategies

A platform for backtesting and getting live buy and sell signals of your strategies

An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting

Research on quantitative trading system based on backtrader framework

A comprehensive portfolio analysis tool for multi-asset backtesting with flexible date ranges and risk metrics

A simple crossover strategy implemented, backtested and optimized using Backtrader python framework and data fetched using Binance API.

Python project to scrape copyfx expert advisors.

Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.

backtetsting strategy with Optuna Parameter searching for three different assets

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.

A DBMS project with Streamlit Frontend for stock management simulation with Backtesting.

The backtesting tool base on backtrader framework

Certis, A High-Quality Backtesting Engine

This is a prototype quant web app for stock traders. The app enables stock traders to analyse stocks using indicators such as bollingerbands, ema, sma and rsi including candlestick charts to observe price movements, velocity , volume and momentum for a specified trading session.Strategies are backtested to determine profitability and overcome loses

Coinex Indicator Filter