ANPS-TradeMeUp is an LLM-powered AI News Prediction System for short-to-medium term market forecasting, featuring real-time analysis and a Dash-based monitoring dashboard.
Simple Java app that allows students to build a live portfolio of real stocks with fake money (and save it locally to an account)
🎯 An interactive Streamlit app to backtest SMA, EMA, and RSI trading strategies with real stock data, portfolio simulation, and beginner-friendly insights.
PostgreSQL Metro 2-style remediation sandbox for synthetic longitudinal tradelines, credit-impact windows, cure logic, treatment assignment, QA, and audit-ready before/after reporting.
Software designed to identify and monitor social/historical cues for short term stock movement
2021 PRIMA Risk Management Challenge: Creation of a working dashboard derived from the National Australia Bank case reporting both the risk and performance of an options market making desk.
Monte Carlo portfolio simulator using Geometric Brownian Motion with correlated random shocks and live market data for generating potential future portfolio values and modeling risk
Monte Carlo portfolio simulations in Python, with reproducible GBM, B3 calibration and cinematic 9:16 / 16:9 animations.
This project simulates wealth accumulation during the pre‑retirement phase using multiple financial return models. The goal is to compare deterministic and stochastic approaches to long‑term portfolio growth.
Vine copula synthetic portfolio generation for insurance — exposure-aware, fidelity reporting
Side project about stocks trading. Currently not deployed due to Heroku policy changes.
Portfolio simulation tool, uses yfinance to re-run a portfolio strategy over the past.
A synthetic asset portfolio simulator to explore the benefits of uncorrelated asset returns.
Reproducible Python retirement Monte Carlo experiments with normalized balances, disclosed assumptions, stress tests and verified report bundles.
A modular finance simulation engine for experimenting with financial systems using configurable agents, data pipelines, and interactive interfaces. It supports scenario-based simulations and user interaction for education, prototyping, and early-stage product exploration, designed as a scalable experimentation framework.
End-to-end credit risk modeling pipeline with portfolio loss simulation using Machine learning models, Monte Carlo methods, and VaR analysis
portfolio-strategy-simulation is a Python module that allows you to simulate portfolio strategies.
Portfolio Monte Carlo: aggregate simulation, Iman-Conover dependence, reinsurance layers, VaR/TVaR with bootstrap error.
AI-native hedge fund as a service (HFaaS), includes assist and full auto mode.
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