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Crypto Trading Strategy Backtester

Crypto Trading Strategy Backtester is a Python application that simulates cryptocurrency trading strategies against historical candle data, then produces statistical reports, charts, position records and CSV datasets.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Crypto Trading Strategy Backtester — OpenViST project profile in Exchanges & Trading.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it for historical strategy research when you want configurable rules and multiple outputs for reviewing simulated trades and performance.

Who it is for

  • Crypto researchers comparing long or short strategy rules against historical candles.
  • Python users who want to adapt indicators, entry rules or exit conditions.
  • Data-science and machine-learning practitioners seeking generated train and test datasets.

Documented uses

  • Run an example Bitcoin strategy against historical data.
  • Review simulated opened and closed positions, statistics and strategy results.
  • Adjust trading parameters and strategy logic to compare variants.
  • Generate train.csv and test.csv for downstream research.
Before you choose

Requirements & limits

The project is a public GitHub repository under the GPL-3.0 license. Its documented setup uses Python, pip and a local command-line run.

  • The README documents Python setup and command-line execution rather than a hosted trading interface.
  • Configuration includes trading pair, candle periods, fees, leverage, long/short settings, and take-profit and stop-loss values.
  • Downloaded data is saved for offline reuse.
  • Outputs include statistical and position reports, plot files, an interactive position chart, deposit_changes.csv, positions.csv, train.csv and test.csv.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Run the example Bitcoin backtest

Set up the project and run its documented example strategy.

Before you start

  • Python 3 with pip3
  • Access to the public GitHub repository

Steps

  1. Clone the repository.

  2. Install dependencies with the command below.

    Documented command
    pip3 install -r requirements.txt

  3. Run the command below.

    Documented command
    python3 main.py

Expected outcome

The README says this runs an example Bitcoin strategy backtest.

Guide limitations

  • This is a historical-data simulation, not a live trading procedure.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
Erfaniaa/crypto-trading-strategy-backtester · Official homepage title · retained in its source language
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