A modern In-App Purchases management framework for iOS.
- swift
- in-app-purchase
- ios
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A modern In-App Purchases management framework for iOS.
Self-hosted AI trading terminal for Hyperliquid: chart read in, validated Freqtrade/Nautilus-Trader strategy out, deployed live.
Scalable, event-driven, deep-learning-friendly backtesting library
OpenBudgeteer is a budgeting app based on the Bucket Budgeting Principle
Modern & private time tracking for macOS & Windows. No cloud, no registration, no paywall. Just download and track your work hours 100% offline.
TensorForce Bitcoin Trading Bot
Python live trade execution library with zipline interface.
Create your Java crypto trading bot in minutes. Our Spring boot starter takes care of exchange connections, accounts, orders, trades, and positions so you can focus on building your strategies.
💰 Ocular - A fancy, simplistic, beautiful and straight-forward, open-source budgeting tracking app to track your budget across the years. Easy to use, to get started and to set up.
Double-entry accounting & ERP for the web
ACH implements a reader, writer, and validator for Automated Clearing House (ACH) files. The HTTP server is available in a Docker image and the Go package is available.
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.
Matching Engine for Limit Order Book in Golang
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Open Source Algorithmic Trading Engine
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Web-based software to manage a non-profit food coop (product catalog, ordering, accounting, job scheduling).
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.
Self-hosted restaurant POS with tables, kitchen display, reservations, QR ordering, loyalty and local-network operation.
Stripe library for Vapor
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
Passive market-making bot for Predict.fun: quotes from live order books, replaces stale orders and cancels on unsafe price/depth; Windows desktop app and web console for Ubuntu servers.
Building a population of models that trade crypto and mutate iteratively
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.