TradingAgents/tests
swj.premkumar e88a01d0ea Fixed
Override Logic Mismatches: Fixed critical Enum-to-String type mismatch in
apply_trend_override
 that was silencing the "Safety Valve" logic.
Data Pipeline Failures: Injected robust error handling and type checking in
market_analyst.py
 to identify why RegimeDetector receives invalid data (causing "UNKNOWN" regimes).
Gemini 404 Errors: Removed invalid/deprecated model names causing 404s
2026-01-11 20:13:01 -06:00
..
README.md Fixed 2026-01-11 20:13:01 -06:00
bench_yfinance.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
demo_regime_detection.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
ignition_tests.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
test_analyst_node.py Fixed 2026-01-11 20:13:01 -06:00
test_anonymizer.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
test_fatal_flaw_fixes.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
test_finance_args.py Fixed 2026-01-11 20:13:01 -06:00
test_global_news.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
test_google_api.py Fixed 2026-01-11 20:13:01 -06:00
test_integrated_workflow.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
test_macro_regime.py Fixed 2026-01-11 20:13:01 -06:00
test_market_node.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
test_override.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
test_pltr_regime.py Fixed 2026-01-11 20:13:01 -06:00
test_rag_isolator.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
test_regime_detection.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
test_regime_detector.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
test_regime_propagation.py Fixed 2026-01-11 20:13:01 -06:00
test_semantic_fact_checker.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
torture_test_2022.py The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
verify_alpaca.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
verify_google_key.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
verify_local_embeddings.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
verify_ollama_embeddings.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
verify_override_fix.py Fixed 2026-01-11 20:13:01 -06:00
verify_pltr_pipeline.py Fixed 2026-01-11 20:13:01 -06:00
verify_regime_flow.py Fixed 2026-01-11 20:13:01 -06:00
verify_regime_integration.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00
verify_tei_native.py feat: implement trend override, harden regime detection, and organize tests 2026-01-11 11:18:46 -06:00

README.md

Trading Agents Verification Suite

This folder contains unit tests and verification scripts to validate the functionality of the Trading Agents system.

Available Tests

Core Logic Tests

  1. test_regime_detection.py

    • Purpose: Validates mathematical components (ADX, Volatility, Hurst) of the RegimeDetector.
    • Usage: python tests/test_regime_detection.py
  2. test_market_node.py

    • Purpose: End-to-end verification of market_analyst_node. Checks data fetching logic and regime integration.
    • Usage: python tests/test_market_node.py
  3. test_override.py

    • Purpose: Unit tests for "Don't Fight the Tape" safety logic. Verifies protection of growth leaders.
    • Usage: python tests/test_override.py

Integration & API Tests

  1. test_global_news.py

    • Purpose: Verifies news fetching capabilities.
    • Usage: python tests/test_global_news.py
  2. test_google_api.py & verify_google_key.py

    • Purpose: Validates Google Gemini API connectivity and key validity.
    • Usage: python tests/test_google_api.py
  3. verify_alpaca.py

    • Purpose: Checks Alpaca trading API connection.
    • Usage: python tests/verify_alpaca.py

Infrastructure & Performance

  1. verify_local_embeddings.py & verify_ollama_embeddings.py

    • Purpose: Validates local embedding models (Ollama/TEI) for RAG.
    • Usage: python tests/verify_local_embeddings.py
  2. verify_tei_native.py

    • Purpose: Tests Text Embeddings Inference (TEI) native endpoint.
    • Usage: python tests/verify_tei_native.py
  3. bench_yfinance.py

    • Purpose: Benchmarks yfinance data fetch performance (latency/throughput).
    • Usage: python tests/bench_yfinance.py
  4. verify_regime_integration.py

    • Purpose: Integration test for regime detection within the broader graph context.
    • Usage: python tests/verify_regime_integration.py
  5. test_finance_args.py

    • Purpose: Verifies robustness of financial tools against extraneous LLM arguments and type mismatches.
    • Usage: python tests/test_finance_args.py

How to Run

Ensure your virtual environment is activated:

source .venv/bin/activate
export PYTHONPATH=$PYTHONPATH:.
python tests/test_market_node.py