awesome-math-and-trading

Unverified ML strategy on Multi by staskh. BotFinder score 18 out of 100.

Curated list of mathematics, probability, ML, and quantitative trading resources for quants and algorithmic traders.

Source: github

Explorer/Multi/awesome-math-and-trading
18
Data index
MultiMLMedium risk⚠ UnverifiedNEW

awesome-math-and-trading

staskhGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.8y
BotFinder Analysis

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About

awesome-math-and-trading

Awesome Math & Trading A curated list of high-quality resources on mathematics, statistics, machine learning, and quantitative trading. Designed for: - 🤖 ML practitioners in finance - 🎓 Students preparing for quant interviews - 📊 Quant traders - 📈 Systematic/algorithmic traders This list focuses on the mathematical and quantitative foundations of trading — from probability theory and stochastic calculus to practical algorithmic trading resources. All links are carefully selected for depth and long-term usefulness. Contents - BOOKS — Books on ML, deep learning, financial mathematics, and options. - LECTURES — Lectures, keynotes, and long-form talks (mostly video) with notable speakers. - COURSES — Courses, workshops, and video resources. - LINKS — Link collections and reading roadmaps. - GITHUB-FINANCE-REPOS — Finance-related GitHub repos from curated roundups, sorted by ★ with X sources in footnotes. Contributing Contributions are welcome! Please: - Add high-quality, non-promotional resources - Provide a short description - Keep categories consistent Open a PR or issue to suggest add

MITOpen-sourcealgorithmic-tradingawesome-listmachine-learningmathematicsprobabilityquantquantitative-financestochastic-calculus
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.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
staskh
Since 2023 · 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
Stars21
Forks4
Open issues3
Language—
LicenseMIT
Last update2026-05-30
Created2025-12-13
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awesome-math-and-trading by staskh — Unverified | BotFinder