PyAlgosim
Unverified Other strategy on Indices by DHDaniel. BotFinder score 18 out of 100.
A stock market back-tester for algorithmic trading built in Python.
Source: github
BotFinder analysis pending.
PyAlgosim
PyAlgosim The Python-built high frequency trading backtester PyAlgosim provides a simple way for amateur high frequency traders to get a feel for automated trading. It is meant to be simple to use, and quick to produce results. We are always accepting contributions and suggestions to make the software better! PyAlgosim allows you to backtest trading strategies accross S&P 500 data from January 2nd, 1998 to August 8th, 2013! Contents Quick links to parts of the documentation: - Getting started - Requirements - Project structure - Initialization - PyAlgosim, the simulator - The PyAlgosim API - PyBank, the trading account - The PyBank API - PyAlgosim and PyBank: putting it together - Creating a trading algorithm - Contributing Getting started To get started using the PyAlgosim high frequency trading backtester, you must download the most recent version of the software. You can easily do this by either cloning the repository from GitHub here or directly download the latest release from here. Requirements All that is required to start using PyAlgosim is: - Python 2.7.X Project structure O
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)