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profitabulprofitabul 分析

Agent Skill

profitabul 用于辅助测试设计、自动化测试和回归验证,适合在 OpenClaw 中需要补充测试、分析失败日志或验证功能改动时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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9,661

周安装

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下载量

3,386
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:profitabul(profitabul 分析)
来源仓库:https://github.com/codeurge/profitabul
安装命令:
openclaw skills install profitabul
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install profitabul

简介

提供期货市场情报与期权流实时分析能力。profitabul 属于效率类 Skill,可作为该场景下的辅助能力补充。

  • 适用于 ES、NQ、SPX 等主力合约的交易信号生成。
  • 集成 GEX 数据、纸面交易与回测功能,支持 MCP 协议对接执行端。
  • 依赖外部行情接口,请确认网络连通性与 API 调用限额。
  • 信号仅供参考,实际交易存在滑点与流动性风险,请谨慎操作。

SKILL.md

name
profitabul-mcp
description
Real-time futures market intelligence, GEX/options flow analysis, trading signals, paper trading, backtesting, and live execution via MCP. Covers ES, NQ, SPX, NDX, QQQ, IWM, GC, SI, CL, and more.
version
0.2.3
metadata
openclaw
requires
env
primaryEnv
PROFITABUL_API_KEY
emoji
\F4C8
homepage
https://profitabul.ai

Profitabul MCP

Real-time futures and options market intelligence for AI trading agents. Get live market context, GEX-derived support/resistance levels, trading signals, historical data, backtesting, and paper trading — all through a single MCP endpoint.

Features

  • Market Context — Live price, GEX regime, VIX state, and candle summaries for 13 symbols
  • Heatseeker Signals — Directional trading signals combining gamma exposure, vanna exposure, and VIX trend
  • GEX Key Levels — King node, gatekeeper, zero gamma, ceiling, and floor levels derived from real options flow
  • Historical Data — Candle data across multiple timeframes (1m to 1d) with up to 200K bars
  • Statistics — Realized volatility, average range, volume stats over any lookback period
  • Reports — Opening Range Breakout (ORB) and Initial Balance (IB) analysis
  • Backtesting — Server-side strategy backtests (ORB breakout/fade) with configurable parameters
  • Paper Trading — Open, close, and track hypothetical positions with full P&L
  • Live Execution — Execute real trades through ProjectX broker (when enabled)

Supported Symbols

CategorySymbols
IndicesSPX, NDX
ETFsSPY, QQQ, IWM
FuturesES, NQ, YM, RTY
CommoditiesGC (Gold), SI (Silver), CL (Crude Oil), HG (Copper)

Setup

1. Get Your API Key

  1. Sign up at profitabul.com
  2. Subscribe to a Pro plan (API access is included)
  3. Go to Settings > Integrations and generate an Agent API key
  4. Copy the key (shown once, starts with pab_live_)

2. Configure Environment

Add to ~/.clawdbot/.env:

PROFITABUL_API_KEY=pab_live_YOUR_KEY_HERE

3. Configure mcporter

Add to config/mcporter.json:

{
  "mcpServers": {
    "profitabul": {
      "baseUrl": "https://agents.profitabul.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${PROFITABUL_API_KEY}"
      }
    }
  }
}

4. Verify

mcporter list profitabul

Available Tools (16)

Market Intelligence

ToolDescription
get_market_contextComprehensive market snapshot: price, GEX levels, VIX state, candle summary
get_signalHeatseeker trading signal with directional bias, confidence, and entry/exit levels
get_key_levelsGEX-derived support/resistance: king node, gatekeeper, zero gamma, floor, ceiling

Historical Data & Analysis

ToolDescription
get_historyFetch historical candles for any symbol/timeframe/date range
get_statisticsSummary statistics: realized volatility, average range, volume
run_reportOpening Range Breakout (ORB) and Initial Balance (IB) analysis
run_backtestServer-side strategy backtest with configurable parameters

Paper Trading

ToolDescription
paper_tradeOpen, close, or list paper positions with P&L tracking

Live Execution (When Enabled)

ToolDescription
live_openOpen a live futures trade with stop/target
live_closeClose a tracked live trade
live_reducePartially reduce an open position
live_add_riskAdd stop-loss/take-profit to existing position
live_cancel_ordersCancel open orders
live_accountRead account info (balance, margin)
live_positionsRead open positions
live_ordersRead working orders

Usage Examples

Market Analysis Workflow

# 1. Get current market context
mcporter call 'profitabul.get_market_context(symbol: "SPX")'

# 2. Check key GEX levels
mcporter call 'profitabul.get_key_levels(symbol: "SPX")'

# 3. Get trading signal based on current conditions
mcporter call 'profitabul.get_signal(
  symbol: "SPX",
  gex_bias: "positive",
  vex_bias: "bullish",
  vix_trend: "falling"
)'

Historical Analysis

# Get 30 days of 5-minute candles
mcporter call 'profitabul.get_history(symbol: "ES", timeframe: "5m", days: 30)'

# Run ORB analysis
mcporter call 'profitabul.run_report(reportType: "orb", symbol: "ES", days: 60)'

# Backtest ORB breakout strategy
mcporter call 'profitabul.run_backtest(
  symbol: "ES",
  days: 30,
  strategy: { type: "orb-breakout", params: { stopMult: 0.75, targetMult: 1.0 } }
)'

Paper Trading

# Open a paper trade
mcporter call 'profitabul.paper_trade(
  action: "open",
  symbol: "ES",
  side: "long",
  entry: 5825,
  size: 2,
  reason: "GEX support bounce at zero gamma"
)'

# List open positions
mcporter call 'profitabul.paper_trade(action: "list")'

# Close a trade
mcporter call 'profitabul.paper_trade(
  action: "close",
  trade_id: "pt_1705312200_abc123",
  exit: 5850,
  close_reason: "Target reached at king node"
)'

Recommended Workflow

  1. Start with context — Call get_market_context to understand current conditions
  2. Check levels — Use get_key_levels for precise support/resistance
  3. Get signal — Feed GEX bias, VEX bias, and VIX trend into get_signal
  4. Validate with history — Use run_report or run_backtest to check if the setup has edge
  5. Execute — Open a paper_trade (or live_open if enabled) at signal levels
  6. Manage — Track and close positions based on level targets

Rate Limits

  • 120 requests per minute per API key
  • Sliding window rate limiting
  • Returns 429 Too Many Requests with Retry-After header when exceeded

Resources

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.48%
按下载量换算2,556

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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