Strategies
Draft, refine, and version the approaches you trade, sitting next to the reports and sims that shaped them.
Strategies, reports, and simulations in one hub, then one canvas where the work connects. Run reports, craft strategies, simulate changes, optimise exits, and optionally compose Pine to paste back into TradingView yourself.
The workspace hub is where you see every strategy, report, and simulation you have built, not as tabs you rotate through, but as one central outlook of the work that actually exists.
No hopping between pages and tables for each artefact type. Open the hub, find the piece you need, and step onto the canvas without rebuilding context every time.
Draft, refine, and version the approaches you trade, sitting next to the reports and sims that shaped them.
Performance reviews, regime reads, exit placement, and more, generated from your data, kept in the same view.
What you tested against real history, linked to the report or policy that started the question.
Open any workspace and the work becomes a node graph: strategies, reports, simulations, and policies linked by what produced what, not a folder of disconnected files.
From here you run reports, craft strategies, simulate changes, optimise exits, and optionally compose a policy into a copy of your Pine script to paste back into TradingView. The hub is where you find the work; the canvas is where you advance it.
An end-to-end loop for experimentation: set up the lab, mine your data, test what would have changed, compose the rules that stuck, and prove them on the chart, with every step still on the canvas for full context.
The visual canvas is how you see the work. The harder thing to copy is what the graph is for: independent policies you measure on history, then combine and re-simulate as a single stack, not notes about rules you never re-tested together.
Test policy A. Test policy B. Merge what held up. Run the combined policy through another simulation. Keep the lineage on the board so you always know which pieces earned their place.
Each policy is proven on the same trade history before it joins anything else. Deltas stay honest.
Merge two (or more) independently tested policies into a combined policy when the stack is what you actually want to live with.
Run the combined policy as one system so interaction effects show up before you promote the rules or export them.
Source policies, combined result, and the sims that justified each step stay on the canvas, not lost in a chat log.
Most trading tools keep strategies, reports, and tests in separate menus and tables. We put that work on a connected canvas so the path is visible while you still get the hard part: rules you can compose, re-test, and take forward with evidence.
A node graph makes branches obvious: which report spawned which sim, which policies you kept, and what you still have not tested.
Treat each canvas as R&D on your trading: experiments stay attached to the measurements that justified them.
Strategies, reports, simulations, combined policies, and scripts that come out of them share a single visual place.
The jobs you already need to improve, without starting over in another product area each time.
Generate and keep performance, regime, and exit placement work on the same graph as the rest of your process.
Add and craft new strategies in context of the data and tests that justified them.
Pressure-test changes against your history and keep the result next to the report that raised the question.
Merge independently tested keep and veto rules, re-simulate the stack, and only then promote what held up.
Work exit placement as part of the flow, not a one-off tool you open and forget where you left the result.
Optional: write a policy into a copy of your script. You paste that copy into TradingView. Not required to use the lab.
Bring strategies, reports, and simulations into one hub, then improve them on a connected canvas where every simulation and combined policy still has a trail.