Unbeatable Condor Strategy

v1.0.0

Check daily if given stocks hit the 4% volatility threshold condor signal. 无敌鹰式策略

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OpenClaw Prompt Flow

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for jinntrance/unbeatable-condor-strategy.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Unbeatable Condor Strategy" (jinntrance/unbeatable-condor-strategy) from ClawHub.
Skill page: https://clawhub.ai/jinntrance/unbeatable-condor-strategy
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install jinntrance/unbeatable-condor-strategy

ClawHub CLI

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npx clawhub@latest install unbeatable-condor-strategy
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Purpose & Capability
The name/description (condor/volatility-based signal) align with the provided script: it downloads historical price data, engineers features, trains LightGBM quantile regressors, and emits a 4% width signal. Required resources (pandas, numpy, lightgbm, yfinance) are appropriate for the stated task.
Instruction Scope
SKILL.md instructs the agent to install the listed Python packages and run condor_signals.py with tickers. The script only accesses market data via yfinance, computes indicators, trains models, and prints signals. It does not read unrelated local files, environment variables, or transmit data to custom endpoints.
Install Mechanism
No install spec is provided (instruction-only). The README recommends pip-installing common Python libraries. This is a low-risk, expected install pattern. Note: LightGBM can require build tooling on some systems (compilation or a wheel).
Credentials
The skill requests no environment variables, no credentials, and no config paths. Network access to fetch market data (yfinance/Yahoo) is necessary and proportional to the purpose.
Persistence & Privilege
always is false and the skill makes no persistent modifications to the agent or system. It does not store tokens or alter other skills' configuration.
Assessment
This skill appears coherent and contains only the expected operations (downloading market data, feature engineering, LightGBM training, and printing strikes). Before installing/running: (1) run it in an isolated Python environment (virtualenv) to avoid dependency conflicts; (2) be aware it fetches live market data from Yahoo via yfinance (requires network access); (3) LightGBM may need build tools or a compatible wheel on your OS; (4) this is a signal generator only — it prints recommended strikes but does not place orders; verify and backtest strategy logic yourself before risking capital; (5) if you need full assurance, review the script locally line-by-line (it is short and readable) or run it on non-production data first.

Like a lobster shell, security has layers — review code before you run it.

latestvk976zx6g1wp40bz7326r6tw7g1855t3r
116downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Unbeatable Option Condor Strategy Signal Generator 🦅

Description

This skill determines whether it's safe and profitable to sell a Short Iron Condor or Strangle on specific target stocks today. It uses the us_hk_50b stocks historic data (100 months) to train a LightGBM Quantile Regressor that predicts the 10% and 90% confidence boundaries for tomorrow's price relative to today's close. If the width of this boundary exceeds 4.00% (0.04), it issues a signal to SELL premium for extreme Theta collection at those strikes.

Usage

Dependencies

Before running the script, ensure the following Python libraries are installed:

pip install pandas numpy lightgbm yfinance

When the user asks you to check if a specific stock (e.g. AAPL, NVDA, TSLA or 0700.HK) hit the operational condor signal, you should run the condor_signals.py script passing the stock tickers.

# Make sure to run this using the appropriate python environment that has lightgbm, pandas, and yfinance installed.
python condor_signals.py AAPL NVDA TSLA 0700.HK

The script will automatically grab the latest market data directly up to the closing price, generate features, train the AI model, and output precise strike thresholds (Sell Put Strike, Sell Call Strike).

Safe Boundary Measures

If the script outputs [SIGNAL TRIGGERED], output to the user:

  1. The exact Put strike price to Sell.
  2. The exact Call strike price to Sell.
  3. Remind them: "Please allocate max 25% of trading capital to this setup, and buy wings (further OTM options) to strictly cap tail-loss risk at 3X the collected premium (Risk=0.1)."

If the script outputs [NO SIGNAL], inform the user that the implied risk-adjusted volatility width is too narrow and they should abstain from Condor trades on the stock today.

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