Community AI Notes | He built an options-strategy recommender with the Longbridge API

Getting started with options is a wall of hurdles for beginners — the concepts are hard, the strategies are convoluted, there are too many variables, and the parameters are a mess.

Want to untangle all of that in one go?

Community member @阿特修罗 used the Longbridge Open Platform and AI to build the "Options Strategy Recommender":

💻 Enter a ticker and your position, and it tells you the strategy / expiry month / strike / projected ROI + a plain-language breakdown

Original post 👉 Options too hard to understand? I built a beginner-friendly strategy recommender with AI

Open source: https://github.com/weiyuan0917-a11y/us-options-advisor

The workflow in one line

Enter a ticker + your position, and you get:

1. A single strategy that matches your view, or a side-by-side comparison of several
2. Payout and ROI modeled against the stock price at expiry
3. An exportable CSV / HTML report, with a plain-language AI write-up explaining why this strategy fits you

Full strategy coverage — not just "buy calls or buy puts"

Mid-to-long-term options aren't limited to just buying calls or buying puts.

The tool's strategy pool covers the full set — LEAPS, spreads, covered calls, cash-secured puts (CSP), collars, iron condors, iron butterflies — automatically sorted into four quadrants: bullish / bearish / volatility-neutral / tied to your position.

In a live test on AAPL, a single run returned 22 candidate strategies, all ranked by view match and ROI at the target price

The volatility surface behind the strategy read

The "AI strategy read" on the results page is generated by a deterministic rule engine — fixed rules combine your view, the options' volatility structure, the broker's target price, the earnings calendar, and your account capital, and output a plain-language explanation.

The volatility (skew) curve marks the "hedging premium" on the put side, giving the AI's read a visual data backbone.

Real data, pulled straight from the account

If the data isn't accurate, even the best strategy is castles in the air.

The community member wired it into the Longbridge Open Platform: the account's actual position in that stock, USD cash, plus the broker consensus target price and earnings calendar — all read straight from the platform

Data that absolutely has to be accurate — account positions, cash, institutional target prices — that's handed to Longbridge!

Want to try it yourself? Head to the Longbridge Open Platform!

Positions, cash, institutional target prices, the earnings calendar — the Longbridge Open Platform can pull all of it ✅

Want to check data fast? One command with Longbridge CLI

Want to wire it into your own app? Use Longbridge OpenAPI

Start here — the next "options recommender" is yours to build

Come play: try it, and submit your own build

👉 Build it yourself: there are more ways than ever to turn an idea into something real — the Longbridge API, the CLI, Skills, the Agent platform — one of them will fit you.

👉 Got an idea? Run with it: tag @LongbridgeAI to submit your build — membership cards and merch are up for grabs.

🎁 Comment to win

Tell us in the comments what new use case you'd want to build~

Every valid entry gets 288 task coins, and we'll also draw 1 winner at random from all valid entries to receive an AI Pro membership card worth SGD 25 (30 days).

Campaign period: from today until 7pm on 22 September 2026. Rewards will be issued within 15 working days of the campaign closing.

Thanks to @阿特修罗 for sharing 🙌

This post covers a research tool independently developed by a community member; quoted content is used with the author's authorization and does not constitute investment advice.