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.

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.

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.

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), TimesFM 2.5, Visual Chart Analysis, and EIA Fundamentals for high-accuracy signals. Features dual-ticker strategy and Trading 212 execution.

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.

Benchmarking SOTA Time Series Foundation Models (Chronos-2, TimesFM 2.5, FlowState) on US Equities

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

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

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.

USD/KZT exchange rate forecasting using Google TimesFM foundation model