MetaSignalsProMetaMind

AI research foralgorithmic trading strategies

MetaMind is MetaSignalsPro's quantitative research lab, where autonomous AI agents build, validate, and manage trading strategies across portfolios.

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  1. Build

    Turn research ideas into testable algorithm candidates.

  2. Validate

    Evaluate selected candidates through structured evidence.

  3. Manage

    Maintain the research lifecycle under human oversight.

Research lifecycle

How MetaMind works

Scroll through Build, Validate, and Manage: MetaMindcombines research and accumulated learning to build test-ready strategy code, advances candidates through validation for human review, and audits strategy portfolios to prepare review-ready rebalances.

01Build

Research. Remember. Build.

Fresh research
Papers
Forums
Reports
Research memory
Strategy code
CompilesLogic checked
Test-ready strategy

Strategies

Power of agentic research

See MetaMind’s research scale, current public strategy library, and the evidence behind strategies already used in products.

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Strategies tested
167
Published strategies
55
Used in products
1.37
Average Sharpe ratio
Strategy distribution

Strategy family

  1. Breakout40.1%67
  2. Mean Reversion3.0%5
  3. Momentum33.5%56
  4. Trend Following8.4%14
  5. Volatility15.0%25
Strategy curves Equity DD
01KGUBEAG_USDJPY_M3002TAWWEJ2_USDJPY_M1503C7USETV_XAUUSD_M30

Products built with MetaMind

Validated strategies, made useful.

See how reviewed strategy components become MQL5 Expert Advisors and Darwinex portfolio destinations.

12
Published products
70
Strategy components
24
Live signal track records
09

Published

Expert Advisors

03

Published

Darwinex portfolios

Published MetaMind products by platform. Each square represents one MQL5 Expert Advisor or Darwinex portfolio.

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Follow the research.Discover the products.

Review selected strategies and their published evidence, or explore the MQL5 Expert Advisors and Darwinex portfolios built from that work.

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