roboquant.py

Unverified ML strategy on Crypto by neurallayer. BotFinder score 18 out of 100.

An open-source algorithmic trading platform written in Python

Source: github

Explorer/Crypto/roboquant.py
18
Data index
CryptoMLMedium risk⚠ Unverified

roboquant.py

neurallayerGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
2.6y
BotFinder Analysis

BotFinder analysis pending.

About

roboquant.py

Roboquant is an open-source algorithmic trading platform written in Python. It is flexible, user-friendly and completely free to use. It is designed for anyone serious about algo-trading. So whether you are a beginning retail trader or an established trading firm, roboquant can help you to develop robust and fully automated trading strategies. You can find out more at roboquant. Usage The following code snippet shows the required steps to run a back-test on a number of stocks. Features Below are some of the key features of roboquant: - [x] fast back testing and live trading - [x] AI/ML based strategies - [x] market data feeds from CSV files, Yahoo Finance, Alpaca and many crypto exchanges - [x] multi-currency trading - [x] multi-asset trading with stocks, options, forex and crypto out of the box - [x] larger-than-memory data feeds - [x] TaLib based indicators and strategies - [x] plotting of prices and metrics - [x] modular and extensible Install Roboquant can be installed like most other Python packages, using tools like uv, pip or conda. Make sure you have Python version 3.12 or hi

PythonApache-2.0Open-sourceaialgorithmic-tradingalgotradingalpacacryptoibkrmlopensource
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
neurallayer
Since 2012 · 2 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
Stars24
Forks13
Open issues0
LanguagePython
LicenseApache-2.0
Last update2026-09-30
Created2024-02-19
Website
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