What I Wish I Knew Before Building a Fintech Platform for Options Traders
Authored by: Aigars Pilmanis
The fintech space is littered with tools that solve data problems nobody asked for. I know because we almost built one.
When the team behind VolRadar started building an options analytics platform, the instinct was to aggregate everything—every Greeks metric, every expiry, every ticker. More data means more value, right? Three years in, the lesson that shaped every product decision since is the opposite: traders don’t want more data. They want fewer, better-filtered opportunities.
Here’s what we’d do differently from day one.
Lesson 1: Data Is Not the Product—Decisions Are
Early on, a trader beta tester asked a question that reframed everything: “Okay, but what am I supposed to do with this?” She was staring at a clean table of implied volatility across strikes and expiries. Accurate. Well-sourced. Completely useless without context.
The problem wasn’t the data—it was that we’d built a dashboard when she needed a decision engine. The shift came when we stopped asking “what data can we show?” and started asking “what is the trader trying to decide right now?”
That reframe led directly to tools like the Options Profit Calculator—not a data viewer, but an interactive scenario modeler. Traders adjust strike, expiry, and volatility assumptions and see P&L outcomes in real time. The data is still there; it’s just in service of a specific decision: “Is this trade worth entering?”
The fintech lesson: build for the decision, not the dataset.
Lesson 2: Your Users Are More Sophisticated Than Your Roadmap Assumes
Most fintech products are built for an imagined average user who doesn’t exist. The options trading community—particularly premium sellers who run covered calls, cash-secured puts, and wheel strategies—skews heavily toward technically literate, data-native people. Designing for the lowest common denominator doesn’t serve them. It insults them.
When the Covered Call Screener was built, the debate was whether to surface IV Rank or just show “high/medium/low” volatility labels. The instinct was to simplify. Users pushed back hard: they wanted the IV Rank number, the percentile context, and the ability to sort by it. They didn’t want a summary—they wanted the signal.
Respecting user sophistication also means not hiding methodology. Options traders are skeptical by nature—they model uncertainty for a living. If the calculation logic isn’t transparent, they won’t trust the output. Explainability is a product feature, not an afterthought.
Lesson 3: Screening Is the Edge, Not the Trade
Premium sellers—covered call writers, wheel traders, iron condor sellers—don’t need real-time data feeds. They need a disciplined filter applied consistently every day. The question is never “what is the market doing right now?” It’s “which stocks have IV high enough to make selling premium worthwhile this week?”
Early on, the assumption was that traders would run their own screens before using the platform. They didn’t—or they ran them inconsistently, using gut feel instead of IV Rank thresholds. The result was trades entered in low-volatility environments where the premium didn’t justify the risk.
The right product response wasn’t faster data. It was better pre-filtering: surfacing only the stocks that already meet the entry criteria, ranked by the metrics that actually matter for income-focused strategies. That’s what separates a useful screener from a data dump. For theta gang traders, the edge is in the screening process—not the execution speed.
The Throughline
Every one of these lessons points in the same direction: build with the trader’s workflow at the center, not the technology stack. Options analytics is not a solved problem—most platforms still prioritize data volume over decision quality.
The platforms that earn sustained usage are the ones that make it easier to find the right trade, size it correctly, and skip the noise—not the ones with the most metrics on screen. That’s what VolRadar is built around: fewer tickers, better filtered, with the context a premium seller actually needs to act.
If you’re building in fintech—or evaluating platforms in the options space—the question worth asking isn’t “how much data does it have?” It’s “what decision does it make easier?”
Aigars Pilmanis is the founder of VolRadar.com, an options analytics platform built for premium sellers—tracking IV Rank, volatility context, and covered call opportunities across S&P 500 stocks on a daily basis.