quantlab
Unverified ML strategy on Options by nittygritty-zzy. BotFinder score 18 out of 100.
🚀 Professional quantitative trading research platform with ML-powered backtesting, multi-source options analysis, portfolio management, and interactive Plotly visualizations. Built
Source: github
BotFinder analysis pending.
quantlab
QuantLab - Quantitative Trading Research Platform A quantitative trading research platform powered by Microsoft's Qlib, designed for systematic alpha generation and backtesting. 📚 Full Documentation | 🚀 Quick Start Guide | 📖 API Reference 📁 Project Structure 🚀 Quick Start Installation from PyPI Development Setup 2. Prepare Data 3. Run a Backtest 4. Visualize Results Results will be saved to results/visualizations/backtestvisualization.png 💼 QuantLab CLI - Real-World Use Cases QuantLab includes a powerful CLI for portfolio management, market analysis, and data queries. 🎬 Use Case 1: Building a Tech Portfolio Scenario: Create and manage a diversified tech portfolio with FAANG+ stocks. 📊 Use Case 2: Real Position Tracking Scenario: Track actual shares purchased at specific cost basis. 🔍 Use Case 3: Analyzing a Stock Before Purchase Scenario: Deep-dive analysis on ORCL before adding to portfolio. 📈 Use Case 4: Portfolio-Wide Analysis Scenario: Analyze all positions in your tech portfolio. 🔎 Use Case 5: Querying Historical Data Scenario: Research historical price patterns for backtesting.
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
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 & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)