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Tags: Finance and trading
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1–24 of 24 · Most stars

A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust

Translated🔥 Officially Recommended 🔥 A brand-new Pro version of RuoYi-Vue, with all features optimized and refactored. A back-office management system + WeChat Mini Program built on Spring Boot + MyBatis Plus + Vue & Element, supporting RBAC dynamic permissions, data permissions, SaaS multi-tenancy, Flowable workflow, third-party login, payment, SMS, mall, CRM, ERP, MES, IM, AI large models, IoT (Internet of Things), and more. Your ⭐️ Star ⭐️ is the author's motivation for hair growth!

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

  • risk
  • pricing
  • risk-management
  • asset-allocation

PHP Payment processing library. It offers everything you need to work with payments: Credit card & offsite purchasing, subscriptions, payouts etc.

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.

  • strategy
  • technical
  • analysis
  • stock

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.

Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.

ColdFusion payment processing library makes plumbing e-commerce apps easy. Charging credit cards has never been easier. Inspired by Ruby's ActiveMerchant.

  • cfml
  • coldfusion

Translated[Maintenance stopped] New version updates have been moved to the correspondingly named project under the IBATS project group. Connects to the Huobi exchange to get real-time and historical Huobi market data, saves it to a MySQL database and broadcasts it via Redis, for the ABAT trading platform to use for strategy backtesting, analysis, and trading.

  • python
  • python36
  • huobi
  • huobipro

Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.