DUCKQUANT / THE QUANT & AI DIRECTORY
976 resources, ranked by in-directory PageRank
Common 3rd party API Simulator with payment api demo. Utilize Spring boot, Redis, MySQL, Docker, Groovy, Velocity, etc.
Investment research platform with portfolio tracking, SEC filing analysis, and AI-powered research
Predict stock and crypto prices with deep learning. Trading simulation.
Repository for Deep Reinforcement Learning Trading Model.
Event-driven Java backtesting engine with a Python strategy layer. Supports historical replay, simulated execution (fees/slippage), Alpaca integration, and parameter tuning tools.
Quantitative backtesting and Portfolio Optimization
Public repository by SmithBondddd. Primary language: Python.
Public repository by wei17776227826-source. Primary language: Python.
Public repository by LionHYE. Primary language: HTML.
Public repository by fengji948. Primary language: Python.
Quant backtest platform backend (Go + Gin + MySQL)
Public repository by NemesiP. Primary language: Python.
Falsification-oriented multi-instrument backtest of a multi-timeframe Smart-Money-Concepts price-action strategy — tested three disjoint ways (walk-forward OOS −0.339R, multiple-testing-corrected 5-instrument replication 0/210, random-entry nulls), all…
Public repository by shuaiwang888. Primary language: Python.
Public repository by GavinLiu222. Primary language: Python.
Quant backtest framework according to Successful Algorithmic Trading
Professional quantitative trading backtest utilities for crypto strategies - Sharpe ratio, max drawdown, win rate, Binance/OKX integration
This Google Colab notebook contains a Python script that simulates various trading strategies using historical stock data. The simulation allows users to choose from…
Institutional-Grade Web-based Multi-Asset Replay, AI Strategy Generation & Trading Bot Deployment Platform
Public repository by AIM-IT4. Primary language: Python.
Public repository by blue-buff. Primary language: Python.
Instructions to improve QuantConnect backtests with Walk-Forward Validation, Transaction Costs, Out-of-Sample Testing, and Parameter Sensitivity
A modular quantitative backtesting framework built from scratch in Python — featuring data pipelines, signal generation, execution simulation, performance analytics, and unit tests. Includes…
Public repository by c3h3. Primary language: R.
Quantitative backtesting framework with walk-forward optimization, Monte Carlo validation, stress testing, and GO/NO-GO deployment gates.
Public repository by miaoyuxin123. Primary language: Python.
Real-data quant backtesting app with a React dashboard and C# backend streaming live performance metrics via SignalR, plus an in-app Python strategy editor for…
Public repository by AzureLeon1. Primary language: C#.
The AlgoQuant Backtester & Signal Engine is an end-to-end DevMLOps platform for developing, validating, and deploying algorithmic trading strategies.
Public repository by snjyor. Primary language: Python.
Public repository by PandOvo. Primary language: Python.
Public repository by Orange1021. Primary language: Python.
Public repository by AzureLeon1. Primary language: Vue.
Public repository by denhartog. Primary language: Python.
