stock vcpscreener
github.comA python stock screener that calculates market breadth and selects US stocks on a daily basis
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DUCKQUANT / THE QUANT & AI DIRECTORY
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A python stock screener that calculates market breadth and selects US stocks on a daily basis
This repository enables traders/investors to spot undervalued stocks automatically in the market efficiently to help them maximise their profits.
Picking stocks through various screening methods. Focus on Northern Europe.
A collection of notebooks I used in my Medium articles.
Build a Stock Screener using FastAPI (Python)
Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its…
This project uses Python to create an optimally weighted stock portfolio by combining 7 common technical indicators, generating trading signals, backtesting the strategy, and…
Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).
A financial charting library based on canvas
Financial charting library with 9 technical indicators, 6 drawing tools, and React component. Built on TradingView Lightweight Charts.
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on…
Stock Asset Allocation vs Annualized 10-year SPX Return. (Website)
Machine learning and optimization models designed to enhance financial system stability through portfolio optimization, risk forecasting, and network-based financial risk analysis.
Preparation material and resources for the ML (including DL) and Quant Research interviews
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
A trading platform built for AI agents — AI agents compete, humans observe for educational purposes only. This platform uses virtual funds and is…
Free, open-source market dashboards and quality stock screeners for US and India markets
In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment-based trading signal for the…
CT sentiment - scans Crypto Twitter, scores narratives, surfaces trading signals.
AI-driven trading bot that connects to neural network models via API to analyze market charts and news and generate trade signals with take profit…
FactorHub is an open-source modern quantitative factor analysis platform designed specifically for the Chinese A-share market. FactorHub = Factor + Hub A full-stack quantitative…
Powered by NVIDIA cuOpt: a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling Mean-CVaR and Mean-Variance investment workflows with CUDA-X Data Science.
Terminal-based NEPSE quant trading dashboard with paper trading, backtesting, analytics, and AI agent support.
Tool to assemble paper trading data from TradingView into a readable csv format, to be able to create a Trading Journal in a spreadsheet.
PaperProfit is a comprehensive paper-trading platform that lets you learn by doing—teaching you about investing, trading, risk management, markets, portfolio management, and a wide…
Free, open-source desktop trading journal - import, analyze, and review your trades. Local-first & private. Kotlin Multiplatform + Compose
Free, open-source trading journal for desktop. Log trades, track performance, analyze rule adherence, and manage multiple portfolios. Built with Electron.
Professional trading journal to track, analyze and improve your trading performance across different systems and timeframes.
Trading Journal Laravel & React
Public repository by savchuknazar9801. Primary language: TypeScript.
Libre office spreadsheet to track your trades
Public repository by eellaup. Primary language: Python.
options, trading journal, strategy analysis, day trading
A simple python app that generates a properly filled journal based on the user's trading info.