Python wrapper for the Tradier brokerage API

Generate a wordlist to fuzz amounts or any other numerical values.

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.

A curated list of platforms, APIs, tools, frameworks, standards, and learning resources for Financial Technology (FinTech).

Integration of the Ethereum blockchain network into application. Purpose is to enable the customers to instantly pay their hired fintech professionals with cryptocurrency.

Advanced machine learning system for detecting credit card fraud using logistic regression and statistical analysis

Leveraged Grid + DCA hybrid trading bot for Bybit with auto-recovery and health monitoring

A tool to analyze the Bitcoin network via the API provided at https://bitnodes.io/api/

AI Agent-Powered Loan Decision Explainer for Banking Customers

AI-powered gold price prediction system with 78-82% accuracy using machine learning

"Hybrid AI Financial Consultant for Skyview Capital. Provides 100% auditable financial QA, eliminating zero-value errors and enabling advanced decision-making with Google Gemini."

AI-Driven Risk Management System (AIDRMS) is an AI-based system designed to identify and manage financial risks using machine learning principles.

Machine Learning-Based Credit Scoring System (MLCSS) is a machine learning algorithm designed to evaluate and score the creditworthiness of individuals.

Quantum-Based Fraud Detection (QBFD) is a quantum algorithm designed to detect fraudulent activities in financial transactions using quantum computing principles.

A Python ML system for forecasting BTC, ETH, and altcoin prices using real-time data from Binance, CoinGecko, and Fear & Greed Index APIs. Features modular architecture with automated data collection, validation, and SQLAlchemy database storage.

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.