fastquant
Unverified ML strategy on Crypto by enzoampil. BotFinder score 18 out of 100.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Source: github
BotFinder analysis pending.
fastquant
fastquant :nerdface: Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code. Its goal is to promote data driven investments by making quantitative analysis in finance accessible to everyone. To do this type of analysis without coding, you can also try out Hawksight, which was just recently launched! :smile: If you want to interact with us directly, you can also reach us on the Hawksight discord. Feel free to ask about fastquant in the #feedback-suggestions and #bug-report channels. Features 1. Easily access historical stock data 2. Backtest and optimize trading strategies with only 3 lines of code - Both Yahoo Finance and Philippine stock data data are accessible straight from fastquant Check out our blog posts in the fastquant website and this intro article on Medium! Installation Python Get stock data All symbols from Yahoo Finance and Philippine Stock Exchange (PSE) are accessible via getstockdata. Python Get crypto data The data is pulled from Binance, and all the available tickers are found here.
⚠ 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.
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⚠ 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)