Spécifications
Project Description
I am looking to collaborate with an experienced MQL5 / algorithmic trading developer who also has hands-on experience with Large Language Models (LLMs) and AI-driven systems.
This is a long-term partnership opportunity, not a one-off paid freelance job.
I bring 9 years of practical Elliott Wave trading experience, applied in live market conditions. The objective is to translate Elliott Wave principles into a structured, machine-interpretable framework, then use LLM intelligence to assist with wave counting, scenario validation, and probabilistic decision-making — ultimately progressing toward an automated Elliott Wave trading system.
⚠️ Important: Partnership, Not Paid Freelance
This is not a paid task.
Instead, this is a collaborative partnership where both parties contribute expertise to build joint intellectual property, with potential outcomes including:
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Commercial EA release (MQL5 Marketplace)
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Licensing or white-label solutions
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Prop-firm compatible automation
Revenue share, IP ownership, or equity structure will be agreed transparently once the collaboration is established.
What I Bring
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9 years of Elliott Wave trading experience
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Deep understanding of:
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Impulse and corrective structures
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Rules vs guidelines
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Alternation, extension, slope, proportion
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Real-world invalidation and scenario logic
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Ability to formalise discretionary analysis into decision trees and rule sets
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Real market data, annotated examples, and live usage context
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A clear roadmap from concept → validation → automation
What I’m Looking For (Required)
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Strong experience with MQL5 / MT5 EA development
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Demonstrable experience with LLMs / AI systems, such as:
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Prompt engineering
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Instruction-based or fine-tuned models
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AI-assisted decision logic
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Pattern classification or probabilistic reasoning
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Some prior knowledge or practical exposure to Elliott Wave theory, such as:
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Understanding impulse vs corrective structures
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Familiarity with wave invalidation concepts
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Experience coding or analysing market structure
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Ability to work with state-based and probabilistic trading logic
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Interest in building AI-assisted trading systems, not simple indicators
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A long-term, collaborative mindset
Experience with Python, APIs, OpenAI/Anthropic, or local LLMs is a strong advantage.
Project Scope (High-Level Roadmap)
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Phase 1
Formalise Elliott Wave principles into rule-based and probabilistic components -
Phase 2
Train and refine an LLM to assist with:-
Wave identification
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Scenario ranking
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Structural validation
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Phase 3
Integrate LLM outputs into MT5-compatible logic (decision support or execution) -
Phase 4
Backtesting, optimisation, and controlled live validation
Who This Is NOT For
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Developers seeking short-term paid gigs
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Indicator-only coders
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Black-box system builders
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Anyone uncomfortable with shared ownership or long-term collaboration
Next Steps
If this project aligns with your interests, please respond with:
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Your background in MQL5 and automated trading systems
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Your LLM / AI experience (tools, models, or past projects)
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Your interest in a partnership-based collaboration
I’m happy to begin with logic design and conceptual discussions before any coding work starts.