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Quantitative Options Backtester: Hybrid Multi-Asset Strategy (2020–Present)

Python Other Python

Specification

Quantitative Options Backtester: Hybrid Multi-Asset Strategy (2020–Present)

Project Overview Looking for an experienced quantitative developer to backtest a multi-asset hybrid options portfolio from January 2, 2020, to present, using historical split-adjusted equity and options data.

Portfolio & Allocation Parameters

Initial Capital: $100,000 cash + 25% margin leverage ($125,000 total deployed capital). Start date: Jan 2, 2020.

Active Income Sleeve (38.7%): Split equally into two large-cap growth assets. Sell monthly out-of-the-money (OTM) covered calls (30–45 DTE, ~30 delta) on 100% of the holdings.

Long-Term Growth Sleeve (61.3%): Distributed across a basket of unconstrained large-cap growth equities with zero option overlays.

Risk Management & Execution Rules

Option Rolls & Assignment: Automatically manage monthly option rollovers, assignments, and repurchases. Margin Accounting: Factor in historical broker margin interest rates on the borrowed 25% capital. Tail-Risk Hedging: Simulate buying annual OTM index put options on a benchmark index ETF to enforce a strict maximum drawdown limit of ~10%.

Deliverables Full backtest code (Python/QuantConnect or equivalent). Complete performance report including CAGR, Sharpe ratio, max drawdown, win rate, and monthly cash flow logs.


Files:

ZIP
Backtesting_Rules.zip
63.0 Kb

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