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Tags: Finance and trading
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97–120 of 129 · Most stars

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.

Lightweight Bitcoin payment processor written in easily deployable Python. Self custody donations and payments on-chain & Lightning network, directly connected to your own Bitcoin node! No middleman/custodian.

Self-hosted, invisible CAPTCHA that detects AI agents driving real browsers. GDPR, WCAG 2.2 AA, and EAA: no cookies, no third-party data sharing, and no visual or audio puzzle. With a false-positive budget enforced in CI. Proof of work, drop-in for Turnstile and reCAPTCHA.

  • anti-bot
  • behavioral-analysis
  • bot-detection
  • captcha

Translated研迹 Trail (Yanji, "research trail"): a local-first AI investment research workbench. Connects market quotes, candlestick charts, and deep research, so that judgments are traceable and risks can be reviewed. Local-first AI investment research desktop with an evidence-grounded copilot.

Open-source event management, ticketing and membership platform for communities, clubs, independent venues and independent artists.

  • django
  • django-ninja
  • eu-vat
  • event-management

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

  • cfml
  • coldfusion

Flare is a lightweight, developer-friendly Swift framework that simplifies working with in-app purchases. It provides a clean, unified API over StoreKit and StoreKit 2, includes async/await-ready workflows, and offers built-in UI components for a seamless integration experience.

  • iap
  • in-app-purchases
  • macos
  • swift

MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.