Executive-grade intelligence workspace that blends AI explainability, scenario simulation, and live telemetry into a single decision cockpit. The demo showcases growth, steady-state, and incident recovery modes with adaptive KPIs, proactive forecasting, and compliance-ready exports powered by synthetic data streams.

Advanced value investing analysis simulation that combines Benjamin Graham's defensive criteria with AI-powered pattern recognition to evaluate companies across 12 key quality dimensions. Features comprehensive scoring algorithms and predictive analytics using synthetic fundamentals.

Sophisticated valuation simulation using multiple methods with Monte Carlo sampling to determine investment safety margins across EPV, Graham Number, DCF, P/B, and asset-based approaches. Features risk analysis and scenario modeling with synthetic inputs.

Simulated real-time cryptocurrency sentiment analysis using advanced NLP and social media monitoring facsimiles. Analyzes 10,000+ synthetic posts inspired by Twitter, Reddit, and Telegram activity to provide market sentiment scores, fear/greed indicators, and predictive signal prototypes for Bitcoin, Ethereum, and altcoins.

Intelligent portfolio management simulation using reinforcement learning and modern portfolio theory concepts. Features automatic rebalancing, risk optimization, tax-loss harvesting, and AI-driven asset allocation across stocks, bonds, crypto, and alternatives.

Machine learning-powered earnings prediction simulation analyzing 200+ fundamental factors, sentiment data, and historical patterns to predict earnings surprises with an 82% simulated accuracy. Features real-time-style earnings calendar, surprise magnitude prediction, and automated trade signal prototypes.

Advanced dividend arbitrage detection simulation scanning for mispriced dividend-paying stocks, special situations, and corporate actions. Features real-time-style pricing analysis, ex-dividend date tracking, and automated opportunity identification with a 94% simulated success rate.

Comprehensive ESG investment analysis simulation using AI to score companies across environmental, social, and governance factors. Features real-time-style ESG data tracking, impact measurement, sustainable portfolio construction, and performance attribution with institutional-grade analytics.

Advanced options trading strategy simulation using reinforcement learning and market prediction models. Features automated strategy creation, risk management, position sizing, and real-time execution monitoring with a 78% simulated win rate across multiple market conditions.

Sophisticated stock screening simulation implementing Benjamin Graham's net-net criteria and statistical cheapness metrics to systematically identify deeply undervalued opportunities. Features advanced filtering and ranking algorithms powered by synthetic fundamentals.

Advanced risk analysis tool that simulates portfolio performance during historical market crises with Monte Carlo simulation, beta-adjusted calculations, and comprehensive risk metrics. Features scenario analysis and risk reporting.

World-class enterprise AI investment platform simulation with 2,301 lines of institutional-grade code. Features 6 advanced ML model types, 90+ stock universe, 12-stage training pipeline, 1,200+ features, and Bloomberg Terminal-level UI with professional analytics.

Interactive visualizations for Earnings Power Value (EPV) analysis following Bruce Greenwald's methodology using simulated financial inputs. Features normalized earnings charts, WACC sensitivity analysis, DCF comparison tools, and professional financial modeling.

High-performance particle simulation harnessing GPU compute shaders to showcase massive-scale physical systems in the browser with real-time visualization. Features WebGPU acceleration and advanced physics modeling.

Interactive visualization of neural network training with forward and backward propagation animation, built from scratch to demonstrate machine learning fundamentals using simulated datasets. Features real-time-style training visualization and educational tools.

Wall Street-grade institutional trading platform simulation with 2,901 lines of enterprise code. Features 10 professional tabs including Options, Strategies, Level II order book, AI Insights with ML predictions, and comprehensive risk management.

Interactive 3D data visualization platform with WebGL rendering, supporting multiple visualization types and large dataset exploration using synthetic datasets. A powerful engine built with Three.js featuring point clouds, network graphs, mathematical surfaces, and real-time controls.

Bloomberg Terminal-level market data terminal with 1,900+ lines of institutional-grade code. Features real-time simulation for 70+ symbols across stocks/forex/crypto/commodities, professional market microstructure, and enterprise alert system.

Building and documenting a comprehensive AI-assisted development workflow using modern tools like Cursor, GitHub Copilot, and custom integrations.

Contributing to various open source projects in the React and Next.js ecosystem, focusing on developer experience improvements.

A collection of React components with pixel art aesthetics for modern web applications.