AI-trader

Unverified ML strategy on Options by aaryansinha16. BotFinder score 18 out of 100.

AI-powered intraday options trading system for NSE F&O. Dual ML models + institutional flow analysis + regime-adaptive strategies. Python/TimescaleDB.

Source: github

Explorer/Options/AI-trader
18
Data index
OptionsMLMedium risk⚠ UnverifiedNEW

AI-trader

aaryansinha16GitHub
From
Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.5y
BotFinder Analysis

BotFinder analysis pending.

About

AI-trader

AI Trader — NSE F&O Algorithmic Trading Research System Full-stack intraday options trading research platform for NIFTY — tick-level replay backtest engine, XGBoost + RL ML models, dynamic risk management, and a live retro terminal dashboard. --- ⚠️ Important Disclaimer This software is an algorithmic trading research and execution platform intended for educational, research, and controlled live trading use. This system can integrate with broker APIs and execute real trades, but it is not a licensed trading platform, broker, or investment advisor All trading strategies, signals, and ML models are experimental in nature and may perform unpredictably in live markets Backtested and simulated results are not indicative of future performance Financial markets, especially derivatives and options, involve substantial risk of loss, including loss exceeding initial capital Users are solely responsible for: their trading decisions risk management regulatory compliance (including SEBI/NSE rules for algo trading in India) The system does not guarantee profitability, consistency, or protection fr

PythonMITOpen-sourcealgorithmic-tradingderivativesfintechintraday-tradingkite-connectmachine-learningnse-indiaoptions-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

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
aaryansinha16
Since 2016 · 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
Stars70
Forks39
Open issues4
LanguagePython
LicenseMIT
Last update2026-07-09
Created2026-03-16
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