Outsider mindset · builder execution Data > vibes

Systems that turn market history into decisions.

I build pragmatic, high-signal products where data engineering, AI, and decision design meet. I’m the founder behind TradeWave.ai and Tara Data Research LLC, and I’m currently expanding into a newsroom-style content engine at SeasonalMarketNews.com.

Trillion+ data points analyzed
Seasonal pattern discovery at scale across long market history.
5 to 97 years of patterns
Reusable research windows, not one-off backtests.
Institutional-grade workflow
Built for repeatability, auditability, and speed.
Afshin Moshrefi
Now
Scaling TradeWave research and building an AI-driven newsroom pipeline for seasonal market behavior.
SeasonalMarketNews.com
Core product
TradeWave finds historical seasonal windows, including election-cycle regimes, and turns them into actionable research.
tradewave.ai
Company
Tara Data Research LLC is the umbrella for my data products and research tooling.
taradataresearch.com

What I build

I’m not “from finance.” That’s the point. I come at markets like an engineer: model the system, measure the behavior, ship tools that people can use. I care about signal, not stories. If something is real, it shows up in data, repeatedly.

Data systems

  • Large-scale historical time series ingestion and normalization.
  • Pattern discovery across long horizons and multiple market regimes.
  • Fast metadata indexing and research workflows that scale.

AI applied to real workflows

  • Newsroom-style content generation that stays grounded in data.
  • Human-readable explanations that do not hand-wave uncertainty.
  • Deterministic pipelines where outputs are reproducible.

Projects

A quick tour of what I’m building right now. Each one is designed to be useful first and impressive as a side effect.

Parent company

Tara Data Research LLC

The umbrella for my research and product work. Focused on building tools that convert market history into decision clarity.

SaaS platform

TradeWave.ai

Institutional-grade seasonality and regime analysis. Find historical windows with strong behavior, then test them across time and conditions.

Media engine

SeasonalMarketNews.com

A data-backed newsroom for individual securities. The goal: answer one question fast, is this move normal or an outlier?

My approach

I build like a founder who actually ships. Tight feedback loops, measurable outputs, and a bias toward tools that make the next decision easier.

What you can expect

  • Clear thinking, fast iteration, zero fluff.
  • Strong opinions, lightly held, updated by evidence.
  • Production-first engineering, not demo-ware.

What I avoid

  • Hype without numbers.
  • Black boxes without explainability.
  • “Trust me” narratives when data can answer it.

Contact

If you want to talk product, data, AI pipelines, or market research tooling, email me. I respond.