This repository offers beginners in Python and JavaScript a look at the utilities that go into creating each of our programs. Each of these programs is detailed with comments so you can learn more about quantitative finance through code.

A machine learning platform for market analysis and forecasting, specializing in stock volatility prediction, market trend forecasting, and portfolio optimization.

Professional-grade cryptocurrency analysis with advanced AI/ML predictions, 50+ pattern recognition, and MathPlotLib terminal charts. CryptVault is an informational tool for educational and research purposes only.

We are researching and developing our own in-house LLM, which will be focused on finance-based chats and requests.

Beginner-friendly stock analysis and research platform.

To view our Python packages, run the command pip install meridianalgo in your terminal, or you can access our files here:

Midnight.AI: A multi-objective trading engine with a pretrained model, direct Alpaca API integration for paper trading, and a built-in backtester. Test strategies in simulation before going live. It is simple, powerful, and ready to deploy.

Open-source transpiler that converts TradingView Pine Script (v5 and early v6) indicators to clean, executable JavaScript for Node.js.

Multi-source financial data scraper and database with daily automated updates.

Just our website in all its glory :)

InterLink is a decentralized, high-performance interoperability protocol designed to bridge fragmented blockchain ecosystems through trustless, zero-knowledge cryptographic proofs.

To view our NPM packages, run the command 'npm install meridianalgo' in your terminal, or you can access our files here https://www.npmjs.com/package/meridianalgo.

Quantum-walk-inspired cryptographic hash function built for blockchains and post-quantum paranoia. Inspired by Dilithium by Microsoft. https://github.com/microsoft/SymCrypt

LuminaChain is a lightweight, sovereign Rust L1 blockchain purpose-built for unbreakable stablecoins. Its our testbed for learning the intricacies of the blockchain.

Implemented sentiment analysis leveraging FinBERT to accurately classify financial news and similar documents into positive, negative, and neutral sentiment categories.

This repository contians all tickers for all stocks across the world, and generates a regularly refreshed stock universe and exports it in common formats for use in other programs.