Agentery pricing intelligence · Provider profile · LLM 量化交易能力评测
Provider profile · independently tracked by Agentery
LLM 量化交易能力评测
开源研究项目，用真实 A 股交易规则和合成市场数据评测多个大语言模型的股票交易决策能力，记录交易日志并分析收益、风险、回撤和交易成本。
Agentery price verdictNo pricing observed
Billing model—
Last observation—pricing pages rechecked daily
Website liveness8 Oct 2026alive · separate from pricing
What it does
The specific capability behind this listing, and where to get it.
LLM 量化交易能力评测
开源研究项目，用真实 A 股交易规则和合成市场数据评测多个大语言模型的股票交易决策能力，记录交易日志并分析收益、风险、回撤和交易成本。
Agentery has not yet captured structured capability detail for this provider.
Official LLM 量化交易能力评测 links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is LLM 量化交易能力评测 good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Niche—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "llm_quant_trading",
"name": "LLM 量化交易能力评测",
"url": "https://gitee.com/collinsliu615/llm-quant-trading",
"logo": "https://www.google.com/s2/favicons?domain=gitee.com&sz=128",
"niche": null,
"category": null,
"short_summary": "开源研究项目，用真实 A 股交易规则和合成市场数据评测多个大语言模型的股票交易决策能力，记录交易日志并分析收益、风险、回撤和交易成本。",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://gitee.com/collinsliu615/llm-quant-trading",
"checked_at": "2026-10-04T03:17:02.905Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "research_demo",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://gitee.com/collinsliu615/llm-quant-trading",
"https://github.com/zs20122/ai-agent"
],
"last_checked": null,
"how_to_connect": {
"website": "https://gitee.com/collinsliu615/llm-quant-trading",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2085,
"uptime_7d": 1,
"checked_at": "2026-10-08T02:39:36.294Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}