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alpha-gpt

Route AlphaGPT data ingestion, factor mining, live strategy, and dashboard workflows.

インストール方法を見る

含まれるファイル(25)

  • SKILL.md4.1 KB
  • references/experiments-and-exclusions.md2.6 KB
  • references/install-and-operations.md4.3 KB
  • references/repo-provenance.md2.3 KB
  • references/repo-routing-metadata.json492 B
  • references/troubleshooting.md3.8 KB
  • scripts/alpha_gpt_env_check.py8.4 KB
  • sub-skills/dashboard-ops/references/dashboard-reference.md9.4 KB
  • sub-skills/dashboard-ops/references/troubleshooting.md7.5 KB
  • sub-skills/dashboard-ops/scripts/alpha_gpt_dashboard_fixture.py5.0 KB
  • sub-skills/dashboard-ops/SKILL.md4.8 KB
  • sub-skills/data-pipeline/references/data-pipeline-reference.md10.2 KB
  • sub-skills/data-pipeline/references/troubleshooting.md6.7 KB
  • sub-skills/data-pipeline/scripts/alpha_gpt_schema_preview.py3.5 KB
  • sub-skills/data-pipeline/SKILL.md4.3 KB
  • sub-skills/factor-mining/references/api-reference.md8.5 KB
  • sub-skills/factor-mining/references/training-and-formulas.md7.3 KB
  • sub-skills/factor-mining/references/troubleshooting.md6.4 KB
  • sub-skills/factor-mining/scripts/alpha_gpt_formula_smoke.py24.9 KB
  • sub-skills/factor-mining/SKILL.md4.8 KB
  • sub-skills/live-strategy/references/execution-safety.md6.0 KB
  • sub-skills/live-strategy/references/live-strategy-reference.md10.1 KB
  • sub-skills/live-strategy/references/troubleshooting.md5.8 KB
  • sub-skills/live-strategy/scripts/alpha_gpt_trading_config_check.py15.6 KB
  • sub-skills/live-strategy/SKILL.md4.9 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

AlphaGPT

Use this repo skill for the AlphaGPT crypto-quant system. It helps future agents work with the repository's four main workflows without reopening the source tree for basic navigation:

  • data ingestion from Birdeye/DexScreener into Postgres/Timescale
  • factor-token mining, StackVM formula execution, and training artifacts
  • live strategy, risk, portfolio state, and Solana/Jupiter execution
  • Streamlit dashboard monitoring and local fixture generation

Start here

  1. Read references/repo-provenance.md when you need to check whether this skill still matches the current AlphaGPT checkout or before a refresh.
  2. Read references/install-and-operations.md for the public install baseline, dependency pin note, environment expectations, and safe import check.
  3. Read references/troubleshooting.md for cross-cutting import, dependency, credential, DB, and live-operation failures.
  4. Read references/experiments-and-exclusions.md for optional research scripts and explicit exclusions.
  5. Run scripts/alpha_gpt_env_check.py when you want an offline, no-network preflight across env vars, files, and imports.

Route map

  • data-pipeline: OHLCV ingestion, provider config, DDL preview, and safe preflight checks.
  • factor-mining: feature engineering, formula grammar, StackVM execution, backtest scoring, and training artifacts.
  • live-strategy: strategy runner, portfolio state, risk controls, and guarded Solana/Jupiter execution.
  • dashboard-ops: Streamlit dashboard, read-only state inspection, and local fixture generation.

Public baseline

  • Install from the repository root with python -m pip install -r requirements.txt.
  • The source tree is not packaged as a pyproject.toml/setup.py distribution, so use the checkout itself as the import root when validating a local clone.
  • If execution.trader fails on the newest Solana wheel because TokenAccountOpts is missing, consult the live-strategy troubleshooting notes for the verified solana==0.36.12 and websockets==15.0.1 compatibility pin.
  • Core runtime facts were verified from the current source: source import roots are data_pipeline, model_core, execution, strategy_manager, and dashboard.

Minimal import check

From a checkout that is on PYTHONPATH or otherwise visible to the environment, a safe smoke check is:

python -I -c "import data_pipeline, model_core, execution, strategy_manager, dashboard"

If you need a deeper no-network preflight, use the bundled env checker instead of touching databases, RPC endpoints, or wallets.

What this skill does not do automatically

  • It does not start the live strategy runner.
  • It does not fetch Birdeye data or write Postgres rows as a default check.
  • It does not submit Solana transactions.
  • It does not launch Streamlit for you.
  • It does not install optional research dependencies from requirements-optional.txt unless you explicitly choose the optional research workflows.

Safe reading order for common tasks

  • "Why is no market data showing up?" -> data-pipeline troubleshooting.
  • "How do I inspect or validate a formula?" -> factor-mining references and smoke script.
  • "How do I configure the bot safely?" -> live-strategy reference and offline config checker.
  • "Why is the dashboard empty?" -> dashboard-ops reference and fixture generator.

Notes for later refreshes

  • Read references/repo-provenance.md and compare the current checkout before deciding whether to refresh this skill.
  • If the repository adds package metadata, new workflows, or additional service/backends, route those through a refresh rather than widening the existing instructions silently.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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