One offline launch path for auditable LLM trading agents: lifecycle traces, execution realism, hard market rules, crisis-scene visuals, and cached model replay metadata.
Open one replayable observe-plan-risk-act-reflect trajectory with fills, rejections, memory, and reproducibility state.
Inspect representation trajectory, correlation heatmap, feedback curves, and exposure waterfall snapshots from tracked diagnostic artifacts.
See how A-share history is normalized into the same OHLCV CSV boundary used by every other TradeArena data provider.
See T+1, price-limit, and board-lot constraints become clipped or blocked risk-gate outcomes.
Compare a risk-aware realistic agent against buy-and-hold under the same execution frictions.
Check provider/model coverage, relative timestamp masking, prompt modes, and parsed signal counts without shipping raw prompts.
Inspect the tiny CSV adapter example for optional news, macro, filings, and alternative-data fields.
Generated by python scripts/run_launch_demo.py. None of these examples calls DeepSeek, Poe, OpenAI, or live market-data APIs.
python scripts/run_launch_demo.py