Getting Started With OIAMR

Click for an overview of system features and navigation of the OIAMR platform. Explore our mission to empower and educate our members through data.

Predictive Analytics

Learn how— Ashok Yarlagadda's proprietary rules-based State Modeling™ categorizes assets into 8 dynamic states to locate optimal entries, stops, and price targets.

Explore States

Custom Backtesting

Test multi-leg option strategies against 10 years of granular, historical data to validate edge, win rates, and maximum drawdowns.

Run Backtests

Earnings Playbook

Navigate high-volatility earnings windows with structured pre-runners, post-runner momentum, and premium selling crush strategies.

View Strategies

How to Navigate the OIAMR Workspace

A step-by-step path to integrating quantitative analysis into your daily trading process.

1

Define Your Market Perspective

Start with the Predictive Analytics page to check the latest ML state classification model of indices and key assets. Determine whether the macro regime favors long, short, or neutral options structures.

2

Scan for High-Edge Options Signals

Head over to Trade Scanners or Option Analysis. Look for unusual options flow, high IV rank (for selling premium), or specific volatility surface changes.

3

Model the Strategy and Backtest

Input your proposed option leg boundaries (Delta, Expiration, Strike) in the Backtesting Engine to inspect historical performance metrics before committing live funds.

4

Deploy and Monitor Trades

Access Proprietary Trades to track curated, high-probability option trade playbooks run by our analyst desk, containing definitive stops, entries, and target ranges.

Frequently Asked Questions

Everything you need to know about OIAMR plans, data sources, and state models.