AI-native macro investment research infrastructure with native MCP, terminal CLI, agent runtime, and disciplined decision workflows. 一个 AI-native 的宏观投资研究基础设施，内建原生 MCP、Terminal CLI、Agent Runtime 与纪律化决策工作流。

Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.

Production-minded Flask backend for macroeconomic forecasting, regime analysis, and portfolio/backtest workflows. Includes layered services, API contract guards, CI tests, and source-only public packaging. Reproducible pipelines for DL and price-horizon models with clean configs, and maintainable architecture. Built for quality

Security-focused application for detecting malicious macros in document files using JavaFX and Python analysis.

Advanced cross-market financial models (India & US) built for long-term sector analysis (2020-2030), including ROCE-PE relationships, CAS Scoring architecture, RAPI framework, heatmaps, and valuation-efficiency insights. Designed for investment research, Portfolio strategy, and global sector benchmarking.

AI-assisted quantitative crypto trading platform with adaptive scoring, decision journal, risk guards, portfolio controls, backtesting and safe execution modes.

Mobile-first MRI-based market regime interpretation engine with risk-adjusted confidence modeling.

Security research tool editing Excel VBA DPB for macro analysis and password manipulation in authorized penetration tests.

TryHackMe Boogeyman 2 write-up covering phishing email analysis, malicious document macros, memory forensics, C2 investigation, and persistence detection.

Windows Desktop Market Visualization Utility

A malicious forensic triage toolkit for examining Office and PDF files for advanced forms of malware payloads before execution in sensitive environments.