Built by a trader,
for traders who think in conditions.

MarketSeek started as a personal question: why is it so hard to answer simple questions about price history? Every trader has conditions they believe in — setups they've watched work, patterns they've noticed repeating. But confirming those beliefs statistically, without writing code, has always required either expensive platforms, a programmer, or just guesswork. MarketSeek is the answer to that problem.

The problem we're solving

The tools serious traders use fall into two categories: execution platforms that tell you what's happening right now, and backtesting engines that let you code up strategies and optimize parameters. Neither answers the question most traders are actually asking.

The question isn't "what's the optimal entry for a moving average crossover system." The question is: "I've been watching this specific condition set up on ES all week — does it actually have an edge, or am I seeing patterns in noise?"

That's the gap MarketSeek fills. Not a strategy optimizer. Not a signal generator. A research tool that answers plain English questions about your specific instruments and conditions, with real statistical backing, in seconds.

What we believe

• 01 Statistical edge belongs to the trader who finds it. The accumulated knowledge in your query history — what conditions work, when they degrade, what setups are confirmed versus speculative — is a proprietary asset. It should be yours, not shared without your knowledge or sold to someone else.
• 02 Trading tools shouldn't require programming skills. A prop trader with 10 years of experience shouldn't need to learn Python to answer a question about their own setups. Natural language is the right interface for people who think in market conditions.
• 03 Honest statistics over false confidence. Walk-forward validation and edge decay monitoring exist specifically to tell you when a setup is curve-fitted or deteriorating — even when you don't want to hear it. A tool that only confirms your existing beliefs isn't a research tool.
• 04 The system should get smarter with use. Every query you confirm builds a knowledge base that makes the next query faster, more accurate, and better at understanding your specific language and setups. The value compounds over time.
• 05 Research is not advice. MarketSeek does not tell you what to trade. It tells you what the data says about conditions you define. The judgment, the risk management, the execution — that's yours. We have no interest in being a signal service.

The technology

MarketSeek uses a natural language parser backed by a proprietary knowledge base to translate plain English trading conditions into precise computational definitions. When you type "price crosses above Keltner mid and RSI is above 50," the system resolves each component against its confirmed definition library, constructs the exact computation, and scans your price history bar by bar.

The knowledge base grows with every confirmed query. Unlike a general-purpose AI that forgets between sessions, MarketSeek's knowledge base is persistent, versioned, and specific to your instruments and methodology. A query you've confirmed once resolves instantly every future time — no re-explanation needed.

The system is designed to work with any large language model — local models running on your own hardware, or cloud providers — as a parsing aid, while keeping all your data and confirmed definitions in your local database. The intelligence isn't in the LLM. It's in the knowledge base you build.

Where we're going

The current version covers futures — ES, NQ, CL — with the indicator set traders in those markets use. Multi-timeframe queries, expanded instrument coverage, and the community intelligence layer are in active development.

The community intelligence layer — where confirmed signal definitions from across the subscriber base contribute to population-level validation scores — is the long-term moat. A competitor can copy the interface. They can't copy years of accumulated, user-validated signal data. That's what makes this defensible, and it's what the Institutional plan is built around.