TradingViewAI.dev: A quick look at [https://tradingviewai.dev/?wlj](https://tradingviewai.dev/?wlj) for algo & AI workflows

If you’re exploring AI-assisted trading tooling right now, you’ve likely come across https://tradingviewai.dev/?wlj — a site positioned at the intersection of TradingView accessibility and AI-driven strategy building. From what’s visible, the platform aims to bridge the gap between chart-based ideas and deployable logic, but it’s worth clarifying where it fits and where it’s still unclear.

The appeal is straightforward: TradingView’s Pine Script is already one of the most approachable languages for writing, testing, and sharing ideas, so an AI layer built around it could lower the barrier to turning natural-language prompts into working scripts — without the setup overhead of local Python environments or the syntax learning curve of MQL. That said, since full content and functionality details aren’t fully accessible at this moment, what we can discuss is what this category of tool promises versus what we should verify:

Here are the main angles to weigh in:

- Strengths: Familiar TradingView ecosystem; rapid idea-to-script iteration; accessible for people who think in charts rather than just code.
- Unknowns: How generated scripts hold up in walk‑forward testing; whether output avoids overfitting or repainting; how transparent the model logic and training scope actually are.

This matters because “AI trading” is one of the most overused phrases in the space — as discussed elsewhere on this forum, many products labelled AI are just parameter optimizers or template generators with no real predictive edge. If tradingviewai.dev delivers genuinely helpful, measurable workflow improvements, it could be a practical bridge from visual analysis to systematic trading. If not, it becomes another marketing layer to filter out.

Has anyone here put https://tradingviewai.dev/?wlj through a real backtest or live trial yet? What actually worked versus what was just on the landing page?