quantum-trader

Unverified ML strategy on Indices by zoharbabin. BotFinder score 18 out of 100.

🤖 An intelligent stock trading bot combining technical & qualitative analysis with Interactive Brokers TWS API integration

Source: github

Explorer/Indices/quantum-trader
18
Data index
IndicesMLMedium risk⚠ Unverified

quantum-trader

zoharbabinGitHub
From
Free
Get this bot
Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
1.9y
BotFinder Analysis

BotFinder analysis pending.

About

quantum-trader

Quantum Trader 🤖 An intelligent autonomous trading system using a multi-agent architecture for algorithmic trading via Interactive Brokers Overview Quantum Trader is a sophisticated algorithmic trading system that leverages Interactive Brokers' API to make trading decisions. The system uses a multi-agent approach where specialized components collaborate to analyze market data, assess risks, and execute trades. Key Features Multi-Agent Architecture 1. Technical Analysis Agent - Analyzes market data using multiple indicators: - SMA (20, 50, 200 periods) - EMA (12, 26 periods) - RSI - MACD - Bollinger Bands - Identifies trading patterns and signals 2. Sentiment Analysis Agent - Analyzes market sentiment from news and social media - Monitors multiple platforms (Twitter, Reddit) - Provides weighted sentiment signals 3. Risk Management System - Position size and portfolio exposure limits - Daily loss limits and drawdown protection - Trade frequency controls - Dynamic stop-loss using ATR 4. Trade Execution System - Supports market and limit orders - Slippage tolerance controls - Position si

PythonMITOpen-sourceagenticagentic-traderai-traderalgorithmic-tradingfintechinteractivebrokersquantitative-tradingreal-time
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
zoharbabin
Since 2010 · 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
Stars56
Forks20
Open issues1
LanguagePython
LicenseMIT
Last update2024-11-19
Created2024-11-09
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