From-scratch reimplementation of Google TimesFM (time-series foundation model) plus the full pretraining pipeline Google never open-sourced. Trained and honestly evaluated at 70M.

A stock prediction application that uses Google's TimesFM (Time Series Foundation Model) to forecast stock prices from Yahoo Finance, with FastAPI serving as the backend API.

Production-grade statistical arbitrage terminal using Google's TimesFM 2.5 and Kalman Filters for dynamic hedge ratio adaptation. Features a high-contrast Bloomberg-style dashboard, vectorized backtesting, and real-time news sentiment analysis.

Google's New TimesFM 2.5 time-series forecasting engine with automated financial market reports via Ollama, Gemma, and interactive Streamlit UI.

Self-hosted forecasting + prediction service. Five zero-shot time-series foundation models (Chronos-2, TimesFM 2.5, Moirai-2, Toto-1, Sundial) across six forecast types, plus nine supervised tabular ML backends (LightGBM, XGBoost, sklearn family) with calibrated / stacking / diversified meta-learners. Unified REST API + MCP server.

Zero-shot TSFM forecasts (Chronos-2, TimesFM) meet constrained Markowitz optimization for dynamic equity portfolios. ー S&P 500 forecasting & portfolio optimization.

Time-Series-Forecast-Transformer working at the local container.

Node.js/TypeScript reimplementation of Google Research's TimesFM 2.5 — a decoder-only foundation model for zero-shot time-series forecasting. Built on ONNX Runtime.

Multi-language AI-powered flight price monitoring dashboard with TimesFM forecasting, real-time data, and global airport coverage (432 airports, 182 countries, 6 languages)

Benchmarking zero-shot and fine-tuned time series foundation models for process model forecasting on directly-follows time series from event logs.

Advanced Hybrid AI expert system for NASDAQ & Oil (WTI) ETF trading. Merges Quantitative ML, LLMs (Gemma 4, Gemini free or not), TimesFM 2.5, Visual Chart Analysis, and EIA Fundamentals for high-accuracy signals. Features dual-ticker strategy and Trading 212 execution.

Walk-forward portfolio backtesting using TimesFM 2.5 quantile forecasting across US (S&P 100) and India (Nifty 50) equity markets. Uncertainty bands drive a mean-variance optimizer with return-shrinkage penalty.

Streamlit dashboard for Hyderabad hydrology analytics and TimesFM forecasting

Time series forecasting models review and comparison using real estate data. The result are presented in the medium article. Link below

TimesFM stock chart forecasting app with AI future candles, volume, indicators, and replay mode.

Undergraduate thesis project: Intraday XAU/USD time-series forecasting comparing Macro-injected XGBoost against TimesFM Zero-Shot model.

Next year forecasts of Eurostat Economic and Tourism indicators per NUTS 2.

In this project, I explore the use of Large Language Models (LLMs) for time series forecasting, focusing on the task of stock market prediction.

Zero-shot foundation model based predictive autoscaler plugin for Kubernetes. Uses Google TimesFM to forecast workload and proactively scale pods.

Forecasting monthly sales using Google's TimesFM model.