SCRIPTMASTERLABS — PRO-LO
Coherence-gated signal engine MCP: multi-path trade gating, GEX/squeeze reads, paid Jev verdict.
我该使用它吗
质量与安全性
发现(3)
- LOW在 simulate_counterfactual_stress_test 中
- LOW在 execute_gemini_frontier_reasoning 中
- LOW在 generate_trade_execution_signals 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中:
{
"mcpServers": {
"pro-lo": {
"url": "https://pro-lo.onrender.com/api/mcp/rpc"
}
}
}远程端点
https://pro-lo.onrender.com/api/mcp/rpcstreamable-http它能做什么
工具清单
工具(12)
🟢analyze_narrative_divergence(ticker, timeHorizonDays)
Compares real fundamental signals (P/E, real reference data) against a disclosed, real-price-derived momentum/volatility proxy for narrative intensity. Real fundamental/social sentiment data is not currently wired — narrative-side scoring is disclosed as a proxy, not literal sentiment measurement.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol (e.g. NVDA, TSLA, AAPL, MSFT)"
},
"timeHorizonDays": {
"type": "number",
"description": "Lookback window in days (default: 90)",
"default": 90
}
},
"required": [
"ticker"
]
}⚪simulate_counterfactual_stress_test(ticker, scenarioId)
Runs a disclosed hypothetical shock scenario (from a static, pre-defined scenario catalog) against a real live quote. The projected impact is an explicit heuristic model applied to a real spot price, not a claimed prediction.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Target ticker symbol"
},
"scenarioId": {
"type": "string",
"description": "Pre-configured scenario ID",
"enum": [
"taiwan_disruption",
"fed_hawkish_shock",
"ai_capex_hangover",
"dark_pool_liquidity_freeze"
]
}
},
"required": [
"ticker",
"scenarioId"
]
}🟢classify_microstructure_regime(ticker)
Real dealer gamma exposure (GEX) computed from a real fetched options chain (Tradier/Polygon), and Reg SHO threshold-list status from the SEC fails-to-deliver record via the SqueezeOS FTD oracle.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol"
}
},
"required": [
"ticker"
]
}⚪execute_gemini_frontier_reasoning(ticker, focusQuestion)
Invokes Google Gemini with real, live-fetched market data as grounding context — no invented inputs are passed to the model.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Target ticker or asset name"
},
"focusQuestion": {
"type": "string",
"description": "Specific analytical thesis or strategic question to investigate"
}
},
"required": [
"ticker"
]
}⚪generate_trade_execution_signals(ticker, timeHorizon)
Generates a disclosed-heuristic BUY/SELL/HOLD verdict and selects real, currently-listed option contracts (real strike, real expiration, real bid/ask/greeks) nearest a target delta band from a real fetched chain — never an invented contract.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol (e.g., NVDA, AAPL, TSLA, MSFT)"
},
"timeHorizon": {
"type": "string",
"description": "Target trading horizon (e.g., \"14_days\", \"30_days\", \"45_days\", \"90_days\")",
"default": "30_days"
}
},
"required": [
"ticker"
]
}🟢mandelbrot_fractal_analysis(ticker)
Real Rescaled-Range Hurst exponent computed from real historical bars at each real timeframe (15M/1H/4H/1D/1W). Reports real excess kurtosis of the real return series. Does not compute a true Hölder singularity spectrum (requires tick-level history this build does not ingest) — abstains rather than fabricating one.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol (e.g. NVDA, TSLA, AMC, GME, SPY)"
}
},
"required": [
"ticker"
]
}⚪track_volatility_surface(ticker)
Real implied-volatility surface grid built directly from a real fetched options chain across several real expirations — every grid point is a real listed contract, not an interpolated/fabricated one.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol"
}
},
"required": [
"ticker"
]
}⚪track_gamma_squeeze_mechanics(ticker)
Real squeeze-pressure score from real chain-derived GEX and SEC fails-to-deliver pressure via the SqueezeOS FTD oracle — a disclosed proxy for short-selling pressure, not true short interest.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol"
}
},
"required": [
"ticker"
]
}⚪live_universe_scanner_scan(filterRegime)
Real wide-market scan (Polygon grouped-daily aggregates across the real US equity universe, not a fixed short symbol list, no pinned symbols) fused with the real per-symbol GEX/Hurst/IV-surface engines above.
输入模式
{
"type": "object",
"properties": {
"filterRegime": {
"type": "string",
"description": "Filter criteria: ALL, SQUEEZE, FRACTAL, SKEW",
"default": "ALL"
}
},
"required": []
}⚪coherence_gate_review(ticker)
PRO-LO Coherence Gate: multi-path consensus for one ticker across PRO-LO's independent real directional signals (trade-engine composite, daily SMA20/50 trend, SqueezeOS graded picks, SML Triple-Trigger). Returns each path with direction (long/short/flat) and confidence, the coherence score, and pass/block gate. Same formula as the SML mcp-x402 Coherent Gate. Jev (TypeSafe) review is not run over MCP.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol"
}
},
"required": [
"ticker"
]
}🟢coherence_jev_verdict(ticker, action, claim)
Paid (x402, 0.25 RLUSD) read-only decision product: computes PRO-LO multi-path coherence for a ticker — coherence = |Σ w·d| / Σ w across the signal paths (paths that cannot answer abstain and never vote) — and adds a Jev (TypeSafe AI) review. Verdict is PASS when consensus is non-flat, coherence >= 0.6, at least 2 paths agree, and the agreeing paths span at least 2 distinct data families (the trade composite and daily trend share the price series = one family); otherwise DENY, with a family-blocked DENY naming that reason. Jev review reports status unavailable when TYPESAFE_API_KEY is not configured — never simulated.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol (e.g. NVDA, AMC, GME)"
},
"action": {
"type": "string",
"description": "Optional proposed action this verdict is about (context, echoed back in the result)"
},
"claim": {
"type": "string",
"description": "Optional claim or context being evaluated (echoed back in the result)"
}
},
"required": [
"ticker"
]
}⚪earnings_gate_verdict(ticker, earnings_date)
Paid (x402, 0.25 RLUSD) pre-earnings coherence gate: four paths across three data families — SEC EDGAR insider Form 4 open-market direction, SEC fails-to-deliver pressure (SqueezeOS FTD oracle), front-expiration options flow imbalance, and dealer gamma-exposure structure (flow and structure are measured from one chain snapshot = one family) — vote into the fleet coherence formula coherence = |Σ w·d| / Σ w. Verdict is PASS when consensus is non-flat, coherence >= 0.6, at least 2 paths agree, and the agreeing paths span at least 2 distinct data families; otherwise DENY. Paths that cannot answer abstain and are named in the output — they never vote. Includes a Jev (TypeSafe AI) review (status unavailable when not configured — never simulated). SHADOW posture: decision_eligible is false; the gate executes nothing.
输入模式
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Stock ticker symbol (e.g. NVDA, AAPL, TSLA)"
},
"earnings_date": {
"type": "string",
"description": "Optional earnings print date (YYYY-MM-DD) to anchor the gate; when omitted, the next real print is read from the Finnhub earnings calendar"
}
},
"required": [
"ticker"
]
}社区
证据