Algorithmic trading with deep learning experiments
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Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
The repository host gives no description.
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
GRUV is a Python project for algorithmic music generation.
Environment for reinforcement-learning algorithmic trading models
Python live trade execution library with zipline interface.
- python3
- python
- algorithmic-trading
- quant
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
- algorithmic-trading
- kalshi
- polymarket
- python
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
- trading
- trading-bot
- trading-systems
- cryptocurrency
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
- automatic-differentiation
- aad
- algorithmic-differentiation
- autodiff
Open Source Algorithmic Trading Engine
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
Python's missing "algorave" module. Live code music with Python using MIDI, OSC and/or SuperCollider.
- algorave
- algorithmic-music
- audio
- improvisation
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Building a population of models that trade crypto and mutate iteratively
- trading-bot
- bitcoin
- neuroevolution
- reinforcement-learning
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
slippery chicken: algorithmic composition software in common lisp and clos
- music
- algorithms
- algorithmic-composition
- common-lisp
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
My algorithmic trading strategies with the Gekko cryptocurrency trading bot.
- gekko-strategies
- trading-strategies
- machine-learning-algorithms
- neural-networks
Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
- ai-agents
- prediction-markets
- starter-template
- trading-bot
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
- algorithmic-trading
- cryptocurrency
- ethereum
- moving-average