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

via Freelancer ·

Budget / SalaryC$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
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.
python financial research finance business analysis risk management financial analysis data analysis portfolio management backtesting algorithmic trading
Apply on Freelancer →

Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.