| --- |
| license: mit |
| tags: |
| - xgboost |
| - solana |
| - pump-fun |
| - tabular-classification |
| - fraud-detection |
| library_name: xgboost |
| pipeline_tag: tabular-classification |
| --- |
| |
| # GPT Scorer — Pump.fun Token Migration Predictor |
|
|
| XGBoost model trained on 135K+ pump.fun token launches to predict which tokens will migrate to a DEX (PumpSwap/Raydium/Meteora/Jupiter) vs rug/stall/abandon. |
|
|
| ## Performance |
|
|
| | Metric | Value | |
| |--------|-------| |
| | ROC AUC | **0.9899** | |
| | Precision @ 80% | 80.2% | |
| | Recall @ 80% | 78.3% | |
| | F1 (migrated) | 0.66 | |
| | Training samples | 135,617 | |
| | Features | 36 | |
| | Trained | Daily at 6am UTC | |
|
|
| ## Top Features |
|
|
| 1. `entity_total_migrations` — how many times entity has migrated before |
| 2. `entity_migration_rate` — entity success rate |
| 3. `inactivity_gap_seconds` — dead time between trades |
| 4. `is_quality_dev` — archetype classification |
| 5. `distinct_sellers` |
| 6. `total_sells` |
| 7. `is_bot_cluster` — bot detection |
| 8. `curve_pct_filled` — bonding curve progress |
| 9. `entity_prior` — Bayesian prior score |
| 10. `distinct_buyers` |
|
|
| ## Usage |
|
|
| ```python |
| import xgboost as xgb |
| from huggingface_hub import hf_hub_download |
| |
| # Download model |
| model_path = hf_hub_download(repo_id="jrhode666/gpt-scorer", filename="xgb_scorer.json") |
| |
| # Load |
| model = xgb.XGBClassifier() |
| model.load_model(model_path) |
| |
| # Predict (36 features required — see xgb_meta.json) |
| probability = model.predict_proba(features_df)[:, 1] |
| ``` |
|
|
| ## Features (36 total) |
|
|
| See `xgb_meta.json` for the full feature list. Core categories: |
|
|
| - **Activity**: unique_buyers_15s/30s/60s, buy_count_*, sell_count_*, total_buys, total_sells |
| - **Microstructure**: early_sell_pressure, buyer_concentration, repeat_buyer_rate |
| - **Entity history**: entity_prior, entity_confidence, entity_migration_rate, entity_rug_rate, entity_total_launches, entity_total_migrations |
| - **Archetype**: is_quality_dev, is_moderate_dev, is_whale_dev, is_serial_rugger, is_bot_cluster |
| - **Temporal**: launch_hour_utc, inactivity_gap_seconds |
| - **Market**: curve_pct_filled |
| - **Derived**: buy_sell_ratio, seller_buyer_ratio, buyers_per_minute |
| |
| ## Target |
| |
| Binary classification: `1` if token migrated to DEX (PumpSwap, Raydium, Meteora, Jupiter), `0` otherwise. |
| |
| ## License |
| |
| MIT |
| |
