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| title: Kronos Filter | |
| emoji: 📈 | |
| colorFrom: blue | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| python_version: "3.10" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Probabilistic stock forecasting with Kronos | |
| # Kronos Filter — Probability API | |
| Remote compute backend for [kronos-filter.vercel.app](https://kronos-filter.vercel.app). | |
| This Space wraps the [Kronos foundation model](https://github.com/shiyu-coder/Kronos) into a REST API that returns probabilistic stock forecasts. | |
| ## Usage | |
| ### Via UI (this page) | |
| Fill in tickers and parameters below, click "Predict". | |
| ### Via API | |
| ```python | |
| from gradio_client import Client | |
| client = Client("Kurtobe/kronos-filter") | |
| result = client.predict( | |
| tickers_raw="MSFT, NVDA, AAPL", | |
| lookback=400, | |
| pred_len=30, | |
| samples=30, | |
| seed=42, | |
| api_name="/predict" | |
| ) | |
| ``` | |
| Or via HTTP (two-step): | |
| ```bash | |
| # Step 1: submit | |
| curl -X POST https://kurtobe-kronos-filter.hf.space/call/predict \ | |
| -H "Content-Type: application/json" \ | |
| -d '{"data": ["MSFT,NVDA", 400, 30, 30, 42]}' | |
| # → { "event_id": "..." } | |
| # Step 2: stream | |
| curl https://kurtobe-kronos-filter.hf.space/call/predict/{event_id} | |
| ``` | |
| ## Model | |
| - Kronos-small (24.7M params, 512 context) | |
| - Tokenizer: Kronos-Tokenizer-base | |
| - Runs on **ZeroGPU** (A10G, dynamically allocated per request) | |
| - Typical inference: 5-15 seconds for 3-10 tickers × 30 samples | |
| - First request cold-start: ~15s (model load onto GPU) | |
| - Free HF account daily quota: ~5-10 GPU-minutes | |
| ## Disclaimer | |
| Not financial advice. The returned probabilities are **model-subjective** — the internal distribution of Kronos's sampled paths — not real-world probabilities. | |