Xyphor Market Research is a curated collection of market insights and strategic analysis focused on emerging and established sectors
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Updated
Jul 15, 2025
Xyphor Market Research is a curated collection of market insights and strategic analysis focused on emerging and established sectors
Object Oriented Programming Templates Codes for Java Language (Java 24) (Implementation and Prototype Code)
Python Matplotlib template codes for working on Data Science Project
Cash Flow Analyzer is a lightweight Python project designed to help users analyze and monitor their personal or business cash flows.
A high-frequency trading simulation framework built in C++23, featuring stochastic volatility pricing, realistic order book microstructure, multi-strategy portfolio simulation, and parallelised Monte Carlo path generation.
The Technical Indicator Calculator is a lightweight Python project designed to introduce the fundamentals of financial technical analysis in a simple and accessible manner.
It is a simple Python project designed to help users understand and manage their finances in an organized manner.
EcoEnergyOptimizer is a lightweight, open-source Python project designed to promote sustainability and environmental awareness in the energy sector
The Stock Portfolio Risk Analyzer is a simple Python project that introduces the fundamentals of portfolio analysis and financial risk management.
The application provides complete inventory tracking capabilities including product management, real-time stock monitoring, transaction logging, and detailed analytics through interactive dashboards.
Portfolio Optimizer is a compact Python project designed to demonstrate the core concepts of portfolio optimization in a simple and accessible manner.
An institutional-grade, asynchronous High-Frequency Trading (HFT) node built in Python. This system reconstructs Level-2 (L2) Limit Order Book (LOB) updates, computes latency-critical microstructure features in O(1) time, and uses a Gaussian Hidden Markov Model (HMM) to infer latent market regimes.
Quantitative-Trade-Engine-Omega is a sophisticated Python-based trading simulator combining advanced strategies, risk management, and real-time portfolio analytics
A single-file Python project showcasing low-latency trading primitives.
Neural Network Codes and Project from Basics to Advanced Level Including Architecture Programs and Implementation of Different Neural Networks
his project is a production-grade Credit Card Fraud Detection System. It leverages advanced machine learning techniques to identify fraudulent transactions in real-time, helping financial institutions reduce losses and enhance security.
A Sustainable Redistribution Simulation using Python, NumPy, Pandas, Seaborn, Matplotlib & Streamlit
A research project built for the GitHub Global Hackathon that uses advanced math and AI to discover hidden structures in financial data that may help predict future market trends.
An advanced algorithmic trading system that uses chaos theory, entropy modeling, and neural dynamics to analyze market signals and generate trading strategies. Built for the GitHub Global Hackathon 2025.
A cryptic open-source system built for the GitHub global hackathon. Leveraging advanced lattice permutation, quantum abstractions, and meta-morphic obfuscation, this project demonstrates unconventional, speculative computation designed for extensible research and collaboration.
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