Lohit Aryan nodeicode
-
University of Maryland
- College park, Maryland
- https://lohitaryan.dev
- @nodeicode
Highlights
- Pro
Starred repositories
Durable, searchable memory of your past agent sessions.
A Fully free agentic browser driver for AI , few tools, full control, real stealth, top-tier token efficiency.
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
Production-grade Rust-native trading engine with deterministic event-driven architecture
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Quant/Algorithm trading resources with an emphasis on Machine Learning
The batteries-included agent harness.
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Python tool for converting files and office documents to Markdown.
High-performance TensorFlow library for quantitative finance.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Research code accompanying AlphaGenome
2025-trading-automation-scripts
Portfolio analytics for quants, written in Python
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
TradingAgents: Multi-Agents LLM Financial Trading Framework
Open-source AI browser agent for web automation: a web browsing agent and computer-use agent in plain English. Browser MCP for Claude Code and Gemini CLI.
A lightweight, dependency-free JavaScript library for guiding user focus across the page.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资