Learn how AI can support trading research, strategy development, market analysis, and decision-making through practical education.
What it is
- Practical education content on using AI for trading research, strategy development, market analysis and review.
- Start with the 10 pillars of a repeatable trading process and the Resources guides.
- See AI applied to post-trade review in the AI Trading Journal.
- The format is agreed based on what you want to learn.
Who it’s for
- Traders curious how AI can support research and review, without hype.
- Traders who want to build a more structured, data-driven process.
How it works
- Consultation: tell us the platform, market, timeframe and the rules or behavior you want.
- Specification: we write down the agreed logic, inputs, visuals and alerts before coding starts.
- Build: development in NinjaScript (NinjaTrader 8) or Pine Script (TradingView), as agreed.
- Test: logic validation, functional testing and chart review against the specification.
- Delivery: installation guidance, basic documentation and support for agreed bug fixes.
Pricing, turnaround and deliverables
- Pricing: quoted per project.
- Turnaround: simple projects may take a few business days; advanced work one to several weeks.
- Deliverables, source code and ownership are agreed in writing before work starts.
- Revisions: agreed adjustments after the first version.
- Your trading idea is treated as confidential; an NDA can be used if needed.
Start a project
Built by a developer who trades with these tools. Tell us about your idea on the contact page or email support@quantellics.net.