This library is used to convert messages from one format to another. The supported formats are ISO 8583, JSON, and XML
-
Updated
Mar 19, 2019 - Java
This library is used to convert messages from one format to another. The supported formats are ISO 8583, JSON, and XML
Python wrapper for the Tradier brokerage API
Welcome to Stock Contender – an AI-powered tool designed to assist your market analysis. This tool is not an investment advisor and does not guarantee profits. Invest at your own risk. Stay updated with my latest developments.
Open Bounties Platform to Grow Open Source projects development and contributions.
Decentralised Finance @ Oxford
A new era of portfolio-driven quantitative trading covering the complete pipeline of quant research + trading with automation at scale
Core service for FINSCALE
Finscale Platform's Hipsters based Generators
Reanalyze Risk Tolerance Using AI Agentic Workflow: This project leverages AI agents and advanced language models to reevaluate user risk tolerance based on financial data and demographic information extracted from JSON files. Utilizing Microsoft Autogen and Llama3.1 8b from Groq API.
A web application that allows users to watch real-time, customizable time-interval candlestick charts of well-known cryptocurrencies (ETH/USDT, BNB/USDT, and DOT/USDT). It was constructed with React.js and designed with Tailwind CSS.
This repository hosts the code for a hybrid ML model integrating technical, fundamental, and sentiment data for stock prediction. It features advanced techniques like Random Forest, XGBoost, and LSTM networks, alongside an automated trading bot. A comprehensive solution for enhancing stock market prediction accuracy.
This is a fake payment provider that simulates a payment provider. It is used for testing purposes.
Quantum-Based Fraud Detection (QBFD) is a quantum algorithm designed to detect fraudulent activities in financial transactions using quantum computing principles.
Integration of the Ethereum blockchain network into application. Purpose is to enable the customers to instantly pay their hired fintech professionals with cryptocurrency.
Increasing Financial Literacy through Fun Games - built at HackItTogether 2020
Notes for Data Engineering
Open Source Decentralized Financial Exchange
RL-Credit-Optimizer is a project that leverages Reinforcement Learning (RL) techniques to optimize credit allocations. The project employs data-driven insights for better financial decision-making, making it a valuable resource for financial institutions and credit analysts.
Add a description, image, and links to the financial-technology topic page so that developers can more easily learn about it.
To associate your repository with the financial-technology topic, visit your repo's landing page and select "manage topics."