machine-learning-for-trading

Unverified ML strategy on Multi by stefan-jansen. BotFinder score 18 out of 100.

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Source: github

Explorer/Multi/machine-learning-for-trading
18
Data index
MultiMLMedium risk⚠ Unverified

machine-learning-for-trading

stefan-jansenGitHub
From
Free
Get this bot
Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
8.5y
BotFinder Analysis

BotFinder analysis pending.

About

machine-learning-for-trading

Machine Learning for Trading, 3rd Edition Build, test, and deploy ML-driven trading strategies, from data sourcing to live execution. The code for Machine Learning for Trading, 3rd Edition by Stefan Jansen: 27 chapters and nine case studies, rebuilt from the ground up around one end-to-end workflow. How a research idea becomes a strategy you can run, and keep running, in a live market. Looking for the second edition? It is complete and stable on the second-edition branch: git checkout second-edition, and everything is exactly where that book describes it. Contents - What's new in the third edition - Nine case studies, the structural centerpiece of this edition - Courses and workshops - The code, chapter by chapter, 27 chapter guides - Quick start: install, download the data, run your first notebook - Companion resources: primers, agent skills, and the six libraries - Repository layout --- What's New in the Third Edition The whole book traces one path: from data infrastructure and strategy research, across an evidence boundary that separates tuning from evaluation, to deployment and m

Jupyter NotebookMITOpen-sourcealgorithmic-tradingartificial-intelligencebacktestingdata-sciencedeep-learningfinanceinvestmentinvestment-strategies
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
stefan-jansen
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
Stars21,196
Forks5,672
Open issues2
LanguageJupyter Notebook
LicenseMIT
Last update2026-10-02
Created2018-05-09
Website
Alternatives

Similar bots worth comparing

73
Trailing Stop on Profit
EarnForex
Return
+9%
7.0y
Max DD
-11%
PF
1.2
⚠ Backtest Only
MultiMedium
58
ESCQ Supertrend H1 simpleNEW
Publisher's own bot
—
Return
+58.03%
Max DD
-70.83%
PF
1.62
⚠ Publisher Claimed
MultiMedium
58
ESCQ Supertrend H4 simpleNEW
Publisher's own bot
—
Return
−11.48%
Max DD
-13.96%
PF
0.18
⚠ Publisher Claimed
MultiMedium
machine-learning-for-trading by stefan-jansen — Unverified | BotFinder