algotrading-competition

Unverified ML strategy on Multi by mdc2002. BotFinder score 18 out of 100.

The annual coding competition hosted by Optiver in collaboration with LSE

Source: github

Explorer/Multi/algotrading-competition
18
Data index
MultiMLMedium risk⚠ Unverified

algotrading-competition

mdc2002GitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
4.3y
BotFinder Analysis

BotFinder analysis pending.

About

algotrading-competition

Optiver Algorithmic Trading Competition Statistical Arbitrage: Pairs Trading This project was part of Optiver's annual trading competition. Given historical data of several stocks, developed a statistical arbitrage strategy that was implemented on the Optibook exchange. Received the "Best Trading Strategy" award by Optiver's CEO, for developing the most profitable trading algorithm.

PythonMITOpen-sourcefinancemachine-learningoptivertrading-algorithmstrading-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
mdc2002
Since 2014 · 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
Forks6
Open issues0
LanguagePython
LicenseMIT
Last update2022-07-18
Created2022-06-10
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