Dont guess. Simulate. Multi-agent market prediction engine.
ANPS-TradeMeUp is an LLM-powered AI News Prediction System for short-to-medium term market forecasting, featuring real-time analysis and a Dash-based monitoring dashboard.
Simple Finance Forecasting Ai. This Ai Model uses historical price data to forecast future prices. The model is trained on data downloaded from Yahoo Finance using the yfinance library, and predictions are made using a linear regression Ai model from sklearn. The model supports all the symbols supported by Yahoo Finance.
An end-to-end Python implementation of Cao et al.'s (2025) HLPPL methodology for the identification of financial (asset price) bubbles. Implements 7-parameter Log-Periodic Power Law model fitting, confidence-weighted sentiment analysis, regime-dependent 'BubbleScore' fusion, and Transformer-based forecasting with a backtesting framework.
Microservices-based AI trading architecture integrating multi-source data scraping, Transformer-based price prediction, and an autonomous Deep Reinforcement Learning trader, deployed under centralized supervision.
AI-driven Polymarket trading bot designed to analyze prediction market data and execute semi-automated trades using OpenAI and Claude models. The system evaluates market sentiment, probabilities, and trading signals to assist with intelligent decision making in prediction markets.
Market Analysis and Prediction
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
An AI-powered forecasting system that predicts economic and market trends using multi-source financial, macroeconomic, and behavioral indicators.
👁️ 天眼 — Multi-agent population simulation for China market forecasting. 10K+ virtual consumers.
This repository contains a Generative Adversarial Network (GAN) model designed to predict the closing prices in the financial market. The GAN utilizes a combination of generator and discriminator networks to generate synthetic closing price data, which can be used for forecasting and analysis purposes.
Python application that integrates multiple APIs and an external AI prediction system to analyze stock trends and provide investment recommendations (buy, sell, or hold) for the upcoming period.
Machine learning process to predict financial instrument prices up to 3 days
Analyze and forecast natural gas prices using time series data, with seasonality decomposition and signal detection for trading strategy insights.
Project analyzing the relationship between El Niño weather patterns and cocoa futures market volatility using NASA satellite data and financial market analysis.
Polymarket automated forecaster for Bitcoin 5-min markets. Hands-off prediction system with continuous retraining, risk controls, and transparent on-chain result tracking.
Predict where news-driven crowd biases will misprice a market, then fade them: GDELT news -> swarm of cognitive-bias LLM agents -> behavioral signal scores.
Multi agent-based LLM pipeline for market analysis
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