A Model Context Protocol (MCP) server for stock traders
📊 The Quant SDK for Python and Javascript. Written in Rust.
PyIndicators is a powerful and user-friendly Python library for financial technical analysis indicators, metrics and helper functions for pandas and polars dataframes. Written entirely in Python, it requires no external dependencies, ensuring seamless integration and ease of use.
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
Technical analysis indicator, based on Super Guppy R1.2 by JustUncleL on TradingView
A simple forex trading signal platform with indicators and some techniques integrated with fundamentals using textblob
YieldYatra is an advanced autonomous AI-driven trading agent designed specifically for the decentralized finance (DeFi) ecosystem, seamlessly integrated with the Aptos blockchain. It autonomously manages crypto portfolios by leveraging innovative, Japanese-inspired trading frameworks, advanced mathematical models, and sophisticated risk management
A stock screener inspired by the simple trading strategy of my friend Ryan.
Successfully developed an AI-powered Investment Portfolio Optimization Workflow using LangGraph that infers user risk profiles, selects tickers, fetches market data, and simulates & optimizes portfolios with actionable recommendations. It integrates advanced financial metrics, risk assessment, and dynamic portfolio management for decision-making.
Production-grade pipeline transforming raw OHLCV into 77 stationary, ML-ready features. Includes anti-leakage validation, TimeSeriesSplit selection, and 6 signal families for financial time series.
This project utilizes machine learning techniques to predict stock prices by integrating diverse data sources including historical price data, technical indicators, sentiment analysis from news, social media, and macroeconomic indicators.
📈 Predict market volatility and optimize trading strategies with an LSTM-based model and a SARSA reinforcement learning agent for intraday trading.
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