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

Explorer/Crypto/fastquant
18
Data index
CryptoMLMedium risk⚠ Unverified

fastquant

enzoampilGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
7.3y
BotFinder Analysis

BotFinder analysis pending.

About

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.

Jupyter NotebookMITOpen-sourcealgotradingbacktestingcryptocurrencydata-sciencefinancial-data-sciencemachine-learningquantitative-financestocks
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

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

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
enzoampil
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars1,757
Forks263
Open issues82
LanguageJupyter Notebook
LicenseMIT
Last update2023-09-15
Created2019-06-26
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