Token导航 LogoToken导航TokenDH.com
效率敏感数据clawhub未标认证来源可访问clear审计通过

finskills-trading-plan-generatorfinskills 交易计划生成器

Agent Skill

finskills-trading-plan-generator 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

2,521

周安装

104

GitHub Stars

公开资料未说明

下载量

824
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:finskills-trading-plan-generator(finskills 交易计划生成器)
来源仓库:https://github.com/finskills/finskills-trading-plan-generator
安装命令:
openclaw skills install finskills-trading-plan-generator
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 finskills-trading-plan-generator

简介

根据 Finskills API 的技术和基本面数据生成包含进场、止损和止盈水平的结构化交易计划。

SKILL.md

name
Trading Plan Generator
version
1.0.2
description
Generate structured trade plans with entry, stop-loss, and take-profit levels based on technical and fundamental data from the Finskills API.
author
finskills
metadata
openclaw
requires
env
primaryEnv
FINSKILLS_API_KEY
homepage
https://github.com/finskills/trading-plan-generator

Trading Plan Generator

Transform a stock idea into a complete, structured trading plan with specific entry triggers, position sizing, stop-loss levels, profit targets, timeline, and thesis statement — powered by live data from the Finskills API. Implements professional trading desk methodology for both swing trades (days to weeks) and position trades (weeks to months).


Setup

API Key requiredRegister at https://finskills.net to get your free key. Header: X-API-Key: <your_api_key>

Get your API key: Register at https://finskills.net — free tier available, Pro plan unlocks real-time quotes, history, and financials.

When to Activate This Skill

Activate when the user:

  • Has a stock pick and wants a complete trade plan around it
  • Asks "how should I size this position?"
  • Says "I think AAPL is going to $200, help me plan this trade"
  • Asks for entry, stop-loss, and target for a specific trade
  • Wants to calculate position size based on account risk tolerance
  • Uses terms like "trade plan", "entry point", "risk/reward", "stop loss", "price target"

Information to Collect from the User

Before fetching data, confirm:

  1. Symbol: Which stock/ETF?
  2. Thesis: Why do they want this trade? (Earnings catalyst, technical breakout, macro tailwind, etc.)
  3. Direction: Long or Short?
  4. Account Size: Portfolio total value (for position sizing)
  5. Max Risk per Trade: % of portfolio willing to lose on this trade (default: 1–2%)
  6. Time Horizon: Swing trade (1–10 days), Position trade (1–3 months), or Investment (6+ months)?

Data Retrieval — Finskills API Calls

1. Current Quote + Market Context

GET https://finskills.net/v1/stocks/quote/{SYMBOL}

Extract: price, dayHigh, dayLow, open, previousClose, volume, avgVolume, marketCap, 52WeekHigh, 52WeekLow, peRatio, beta

2. Historical Price Data (for ATR, support/resistance, trend)

GET https://finskills.net/v1/stocks/history/{SYMBOL}?period=6mo&interval=1d

Extract: last 6 months of daily OHLCV Compute: ATR (14), key swing highs/lows, 50-day SMA, 20-day SMA, 200-day SMA, RSI

3. Analyst Recommendations + Price Targets

GET https://finskills.net/v1/stocks/recommendations/{SYMBOL}

Extract:

  • Consensus recommendation (Strong Buy / Buy / Hold / Underperform / Sell)
  • Mean price target
  • Highest/lowest price target
  • Number of analysts

Analysis Workflow

Step 1 — Live Market Context Assessment

From the quote data, determine:

  • Where is price relative to 52-week range? (Near high/low/mid-range)
  • Is today's volume above or below average? (Volume confirmation check)
  • Beta: How volatile is this stock relative to market?
  • P/E: Is valuation extreme (which might cap upside for long trades)?

Step 2 — Key Level Identification (from historical data)

Compute critical levels:

ATR-based volatility:

ATR_14 = EWM(True_Range, span=14)
Daily_Range_Estimate = 1.2 × ATR_14

Support Levels (from 6-month history):

  • S1: Most recent swing low (last 20 sessions)
  • S2: Prior swing low (last 60 sessions)
  • S3: Major structure low (52-week low if within 20% of current price)

Resistance Levels (from 6-month history):

  • R1: Most recent swing high or overhead consolidation zone
  • R2: Prior swing high
  • R3: 52-week high or prior major resistance

Moving Averages (dynamic support/resistance):

  • SMA_20, SMA_50, SMA_200 — note if price is above or below each

Step 3 — Entry Strategy

For Long Trades:

  • Breakout Entry: Enter above R1 on above-avg volume (aggressive)
  • Pullback Entry: Enter at S1 or SMA_20 with bounce confirmation (conservative)
  • Range Entry: Enter at lower third of recent range when RSI < 40 (mean reversion)

For Short Trades:

  • Breakdown Entry: Enter below S1 on above-avg volume
  • Bounce Entry: Enter on rally to resistance (R1/SMA_20) with bearish conditions

Recommend an entry type and exact trigger price based on the user's thesis and time horizon.

Entry Trigger:

Entry = Buy {SYMBOL} at $X only if {volume confirmation condition AND price condition}
       or
Entry = Limit order at ${level} (pullback entry)

Step 4 — Position Sizing (Risk-Based)

Fixed Risk Position Sizing (Industry Standard):

Dollar Risk Per Trade = Account_Size × Max_Risk_Pct
                      e.g., $100,000 × 2% = $2,000 max risk

Distance to Stop = Entry_Price - Stop_Loss_Price  (for longs)

Shares to Buy = Dollar_Risk_Per_Trade / Distance_to_Stop

Position Value = Shares × Entry_Price
Position % of Portfolio = Position_Value / Account_Size

Flag if position exceeds 20% of portfolio (concentration risk warning).

Volatility-Adjusted Check:

  • If beta > 2.0: Reduce max risk % by 50% (high-beta stocks need smaller positions)
  • If beta < 0.5: Position can be slightly larger if fundamentals are strong

Step 5 — Stop-Loss Placement

ATR-Based Stop (preferred):

For Long: Stop_Loss = Entry_Price - (1.5 × ATR_14)
For Short: Stop_Loss = Entry_Price + (1.5 × ATR_14)

Structure-Based Stop (alternative):

  • Long: Stop just below S1 (last swing low) with small buffer (~0.5%)
  • Short: Stop just above R1 (last swing high) with small buffer

Hard Rule: Never place stop inside a natural support/resistance zone — price will "shake you out" before continuing.

Choose the wider of the two methods for stops (more conservative).

Step 6 — Profit Targets

Target 1 (partial exit — 50% of position):

  • Risk/Reward ratio ≥ 2:1 for swing trades
  • Target_1 = Entry + (2 × Distance_to_Stop) [for longs]

Target 2 (remaining position — trail or hold):

  • Next major resistance level (R2) or analyst mean price target
  • Minimum R:R 3:1

Target 3 (maximum case):

  • Analyst high price target or key technical level

Time Stop (important):

  • If trade has not reached T1 within the defined time horizon, exit regardless of P&L
  • Swing trade time stop: 10 trading days
  • Position trade time stop: 45 trading days

Step 7 — Trade Thesis Validation

Write a formal 3-part thesis:

  1. Catalyst: What is the specific reason this trade will work?
  2. Invalidation: What would tell you the thesis is wrong? (beyond the price stop)
  3. Monitoring Points: What news, data, or price action to watch during the trade?

Output Format

╔══════════════════════════════════════════════════════════════════╗
║    TRADE PLAN  —  {DIRECTION} {TICKER}                          ║
║    Generated: {DATE}   |   Type: {Swing/Position/Investment}    ║
╚══════════════════════════════════════════════════════════════════╝

📌 TRADE THESIS
  "I believe {TICKER} will {rise/fall} because {1-sentence catalyst}.
   The trade is invalidated if {invalidation condition}."

  Tag: {Breakout / Reversal / Catalyst / Macro-Driven / Technical}

📊 MARKET SNAPSHOT  —  {TICKER}
  Price:         ${price}   Day Range: ${low} – ${high}
  52-Week:       ${52wkLow} – ${52wkHigh}   Position: {Top/Mid/Bottom} third of range
  Beta:          {X.X}   P/E: {X.X}x   Avg Volume: {Xm} shares/day
  Today's Vol:   {Xm} shares ({+/-}% vs. average)

  Analyst Consensus: {Strong Buy / Buy / Hold}   Target: ${mean}  Range: ${low}–${high}

🎯 KEY LEVELS
  Resistance 3:  ${R3}  [{structure / 52wk-high}]
  Resistance 2:  ${R2}  [{structure}]
  ► Resistance 1:${R1}  [{recent swing high}]     ← Nearest overhead
  ─── CURRENT:   ${price} ───
  ► Support 1:   ${S1}  [{recent swing low}]      ← Stop zone
  Support 2:     ${S2}  [{prior swing low}]
  Support 3:     ${S3}  [{major level}]

  20-Day SMA:    ${SMA20}   50-Day SMA: ${SMA50}   200-Day SMA: ${SMA200}
  ATR (14):      ${ATR}  ({X.X}% of price)

📋 TRADE PARAMETERS

  ┌─────────────────────────────────────────────────────┐
  │  ENTRY TYPE:   {Breakout above} / {Pullback to} ${entry_price}
  │  Entry Trigger: Price ${entry_trigger} on volume > {X}M shares
  │                  OR limit order at ${limit_price}      │
  │                                                         │
  │  STOP-LOSS:    ${stop_price}  ({ATR-based / Structure})  │
  │  Distance:     ${entry - stop}  ({X.X}% below entry)   │
  │                                                         │
  │  TARGET 1:     ${t1}  ({2.1:1} R:R)  ← Exit 50%      │
  │  TARGET 2:     ${t2}  ({3.2:1} R:R)  ← Exit 35%      │
  │  TARGET 3:     ${t3}  ({4.5:1} R:R)  ← Trail 15%     │
  │                                                         │
  │  TIME STOP:    Exit by {date} if no progress           │
  └─────────────────────────────────────────────────────┘

💰 POSITION SIZING  (Account: ${account_size})
  Max Risk:             ${risk_amount}  ({risk_pct}% of portfolio)
  Stop Distance:        ${stop_distance}/share  ({stop_pct}%)
  Shares to Buy:        {shares_count} shares
  Position Value:       ${position_value}  ({position_pct}% of portfolio)
  Beta-Adjusted Risk:   ${adjusted_risk}

  ⚠️ {Any concentration or volatility warnings}

📅 TRADE MANAGEMENT RULES
  On entry day:     Confirm volume and price action before committing
  At -50% to stop:  Evaluate — add context, consider waiting for new catalyst
  At Target 1:      Sell 50%, move stop to break-even
  At Target 2:      Sell 35%, trail stop at 2× ATR
  At Target 3:      Sell remaining 15%
  Time Stop:        Exit FULL position on {date}, regardless of P&L

📌 MONITORING CHECKLIST
  □ {Key upcoming earnings date if applicable}
  □ {Key macro data that could impact trade}
  □ {Sector ETF behavior as leading indicator}
  □ {Price/Volume action to watch for confirmation or invalidation}

Limitations

  • Price targets are based on technical structure and analyst consensus — not guaranteed.
  • Stop-loss placement does not eliminate the risk of gap-down opens in fast markets.
  • ATR-based position sizing assuming normal market conditions; extreme volatility events can bypass stops.
  • This plan is for educational purposes; complete research and use your own judgment before trading.

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

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

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

89.52%
按下载量换算738

安全审计

VirusTotal

通过

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills