volatility-analysis

Automated hourly options flow, GEX profiling, and SD-range analysis for Gold, S&P 500, and NASDAQ futures.

An explainable modeling system that analyzes cryptocurrency prices as equilibrium outcomes shaped by market forces. This simulator computes force decompositions, equilibrium bands, tension scores, and scenario-based what-if simulations to reveal how demand, supply, volatility, liquidity, and speculation negotiate price.

Cryptocurrency trading bot for Binance with ML.NET predictions, technical analysis, and automated risk management

This is an in-depth exploratory data analysis of Spotify's stock performance from January 1, 2018, to the present. Utilizing Python and a robust set of libraries, this project examines trends, volatility, and external influences on Spotify's stocks using data from Yahoo Finance. From trend analysis and volatility exploration to predictive modeling.

An advanced analytical engine that investigates the dynamic relationship between cryptocurrency markets and macroeconomic sentiment. By correlating Bitcoin price data with traditional market indices, this project engineers a weighted sentiment index to quantify market behavior and predict volatility.

Financial time-series analysis published in IJNS (2024): Volatility forecasting of Brent, WTI, Gold Futures, and ETFs using dynamic GARCH models in Python.

A fintech tool that estimates transaction slippage and trade risk using market volatility and liquidity data.

Applied econometric analysis of financial markets using GARCH, VAR, and VECM to model volatility, interdependencies, and long-run equilibrium across oil prices, exchange rates, and stock indices.

🎰 Dual Progressive Jackpot Slot Machine with 100% hit rate and 95.001% RTP. Two jackpots (Blue 1:300, Violet 1:3000) funded by 1 & 2 matches. Validated with 10M+ Monte Carlo simulations. Includes interactive HTML demo.

Time Series Analysis of ASML Stock Prices

Agentic quantitative options research desk for Moomoo OpenD, Telegram reports, volatility analysis, and risk-first retail research.

This project analyses the performance of small, mid, and large cap funds from 2020 to 2023. Using linear regression, it calculates volatility and risk-adjusted returns based on closing indices data, providing insights into each fund's risk and performance.

Historical stock performance, volatility profiling, and trend analysis for Microsoft Corporation (NASDAQ: MSFT) with technical indicators and data visualizations.

Python quant toolkit for MetaTrader 5: Optimal trading session scheduling, tick-level microstructure analysis, feed health monitoring, TPO profiles, and statistical arbitrage.

Coca-Cola (KO) Stock Performance Analysis (1962–2022) using Power BI.

🎰 Dark Fortune — Jackpot Edition (20,000x + 1:5000 Progressive Jackpot) A mathematically validated slot machine with 20,000x max win and a 1:5000 progressive jackpot. Features 100% hit rate, 95.93% RTP, and CV 6.56. Validated with 10,000,000+ Monte Carlo simulations.

EDA of BTC/ETH/SOL/ADA volatility, drawdowns, and return correlation using live CoinGecko data.