quant-trading

Unverified Arbitrage strategy on Options by je-suis-tm. BotFinder score 18 out of 100.

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heik

Source: github

Explorer/Options/quant-trading
18
Data index
OptionsArbitrageMedium risk⚠ Unverified

quant-trading

je-suis-tmGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
8.6y
BotFinder Analysis

BotFinder analysis pending.

About

quant-trading

Quant-trading   Intro   We’re right 50.75 percent of the time... but we’re 100 percent right 50.75 percent of the time, you can make billions that way. --- Robert Mercer, co-CEO of Renaissance Technologies If you trade a lot, you only need to be right 51 percent of the time, we need a smaller edge on each trade. --- Elwyn Berlekamp, co-Founder of Combinatorial Game Theory The quotes above come from a book by Gregory Zuckerman, a book every quant must read, THE MAN WHO SOLVED THE MARKET.   Most scripts inside this repository are technical indicator automated trading. These scripts include various types of momentum trading, opening range breakout, reversal of support & resistance and statistical arbitrage strategies. Yet, quantitative trading is not only about technical analysis. It can refer to computational finance to exploit derivative price mismatch, pattern recognition on alternative datasets to generate alphas or low latency order execution in the market microstructure. Hence, there are a few ongoing projects inside this repository. These projects are mostly quanta

PythonApache-2.0Open-sourcealgorithmic-tradingbollinger-bandscommodity-tradingmacdmomentum-strategymomentum-trading-strategyoptions-strategiesoptions-trading
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

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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
je-suis-tm
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
Stars10,850
Forks1,906
Open issues1
LanguagePython
LicenseApache-2.0
Last update2026-06-20
Created2018-04-03
Website
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