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Quantitative Trading Consulting from Quant Galore

I design, build, and ship production-grade quant infrastructure for funds, prop shops, and serious independent traders.

If you have an idea, a thesis, or a half-working system, I can take it the rest of the way.

Who I Am

I run Quant Galore, one of the most-read quantitative finance publications on Substack, with thousands of subscribers across systematic funds, prop traders, and quant researchers.

I'm also the founder of Alphanume, an event-driven alternative data platform serving institutional clients with datasets covering corporate actions, dilution, de-SPACs, options expected ranges, and attention signals.

For the last several years I've been doing this work in public: writing about strategies, shipping data products, and building the kind of infrastructure that actually holds up when real money runs through it.

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What I Build

Systematic Strategies

End-to-end strategy development across equities, options, and crypto. Signal research, execution logic, position sizing, risk controls. Built to be deployed, not just backtested.

Backtests You Can Trust Realistic transaction costs, order slippage, borrow constraints, capacity analysis, and out-of-sample testing that actually means something. If a strategy doesn't work, I'll tell you before you find out the expensive way.

Data Infrastructure SEC EDGAR pipelines, options chain processing, corporate action tracking, alternative data ingestion, API design, and incremental data architectures. Clean, documented, maintainable.

Trading Automation Broker integrations (IBKR, Alpaca, ccxt), scheduled execution, monitoring, alerting, and reconciliation. The plumbing that turns a notebook into a real system.

Quant Content and Research Long-form research write-ups, technical tutorials, white papers, and audience-building content for fintech and data vendors. If you need someone who can write about this stuff with actual depth, you've found them.

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Areas of Depth

0DTE and short-dated options. Dividend and corporate action trading. De-SPAC and dilution monitoring. Dispersion and volatility strategies. Crypto market microstructure. Pairs and statistical arbitrage. Event-driven equity strategies.

If your problem touches any of these, I've probably already shipped something in that area.

How Engagements Work

Most projects fall into one of these shapes:

Research and Backtesting Fixed-scope, typically 1 to 3 weeks. You bring an idea or thesis, I deliver a rigorous backtest, write-up, and code you can run yourself. Starting at $2,500.

Strategy and Infrastructure Builds 2 to 8 weeks. Full implementation: research, code, deployment, documentation. Typical engagement lands at $7,500 to $25,000.

Ongoing Retainers For funds and teams that need consistent quant capacity without hiring full-time. Monthly engagements covering research, infrastructure, and on-call quant work. Starting at $3,500/month.

Content and Research Writing White papers, technical pieces, educational content for fintech and data companies. Pricing scoped per project, typically $1,500 to $7,500.

What You Get

Code that's clean, documented, and yours.

Honest assessments of edge, capacity, and risk. I won't sell you on something that won't work.

Fast turnaround and direct communication. No account managers, no handoffs.

A collaborator who's been running this stuff publicly for years and has the receipts to prove it.

Case Studies

Built end-to-end de-SPAC short selling infrastructure for a systematic trading operation, including filing detection, locate sourcing, and execution logic.

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Designed and systematized a dividend trading strategy across 3,000+ events with Sharpe of ~2, deployed via IBKR API.

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Built a Wikipedia attention signal dataset covering 470+ tickers, including ticker mapping, data pipeline, and z-score normalization.

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Let's Talk

Tell me about your project below. I read every inquiry personally and respond within 48 hours. If we're a fit, we'll set up a call to scope it out.

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