options-spread-conviction-engineMulti-regime options spread analysis engine with Kelly Criterion Position Sizing. Scores vertical spreads (bull put, bear call, bull call, bear put) and mult...
Install via ClawdBot CLI:
clawdbot install adamnaghs/options-spread-conviction-engineGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://img.shields.io/badge/License-MIT-blue.svgAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A retail trader uses the engine to identify high-conviction vertical spreads (bull put, bear call, bull call, bear put) based on technical indicators like Ichimoku, RSI, and MACD. They input a ticker like AAPL, and the engine scores strategies, recommending entry points for mean-reversion credit spreads or breakout debit spreads, helping them execute trades with quantified risk.
A hedge fund employs the engine to automate iron condor, butterfly, and calendar spread trades. It leverages regime detection via VIX and GARCH volatility forecasting to adjust positions, using walk-forward backtesting for validation. The engine's scoring of IV term structure and technical indicators optimizes non-directional theta harvesting in volatile markets.
A financial advisor uses the engine to generate income or hedge positions for clients. They analyze tickers to score iron condors for premium selling in range-bound markets or calendar spreads for theta advantage, ensuring drawdown-constrained Kelly sizing to manage risk while enhancing portfolio returns.
A market maker utilizes the engine to assess volatility regimes and IV term structures, scoring strategies like butterflies for pinning plays during low volatility. This helps in managing inventory by identifying opportunities to profit from volatility compression or inverted term structures, improving liquidity provision efficiency.
An online trading education platform integrates the engine as a learning tool. Students input tickers to see real-time scoring of seven strategies, with detailed breakdowns of indicator weights and triggers, helping them understand how technical analysis and IV dynamics influence options spread selection.
Offer a monthly subscription service where retail traders access the engine via a web interface or API. Features include real-time ticker analysis, strategy scoring, and backtesting reports. Revenue is generated through tiered plans based on usage limits and advanced analytics.
License the engine to hedge funds, banks, and trading firms as a white-label solution. Provide custom integrations with their existing trading platforms, along with support for high-frequency data feeds and compliance reporting. Revenue comes from annual licensing fees and maintenance contracts.
Deploy a free version with basic analysis for vertical spreads, attracting a broad user base. Monetize through premium upgrades offering multi-leg strategy scoring, advanced backtesting, and API access. Additional revenue streams include affiliate partnerships with brokerage platforms.
💬 Integration Tip
Ensure Python3 and dependencies like jq and yahoo-finance2 are installed via the provided scripts; integrate with trading platforms by calling the engine's API for real-time strategy scoring and position sizing.
Scored Apr 19, 2026
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