Any system,explained.In plain English.
It reads your system's own state and explains it —the way a good mentor walks you through a chart.

Pine Narrative — the Co-Pilot · your indicator, explained like a senior trader is next to you
Every system, narrating itself — honestly.
Pine Narrative is a drop-in layer that makes any trading system talk in plain language: its read, why, the plan, how sure it is — and, crucially, what it can't see. It quotes the numbers already on your screen and never predicts. The honest layers that make it impressive — confidence, blind spots, a real hold-% — are exactly the ones no dishonest tool will ship.
See it talk
Your indicator, talking: it states its call and its reasoning, its plan, how sure it is — and admits what it can't see.




Six honest layers — the ones nobody else dares ship
- HeadlineIts one-line call on the chart right now — in plain English, in your chosen voice.
- WhyThe reasoning behind the call — drawn from the system's own values, never invented.
- PlanReal entry / stop / target the moment a setup qualifies — or, honestly, nothing yet.
- Confidence + blind spotsHow sure it is — stated out loud, not a fake 92% — and the blind spots it names: news, real order flow, depth, the next tick.
- Track recordA strictly causal on-chart hold-%, always tagged “small sample, NOT an edge” — and dropped entirely when there's no trade to score.
- HonestThe standing disclaimer — “decision support, not a prediction” — and it's allowed to say “no clean read.”
One honest voice, any system
Price action, all-in-one, volume context, multi-timeframe, prop-firm risk — five different worlds, one voice that adapts honestly to each.





Watch how it adapts — and refuses to overstep
A trading engine gets a real Plan. A context tool's Plan becomes Watch (the levels to watch). An aggregator's becomes Call (a lean, confirmed on your own chart). A risk monitor's becomes Do (risk guidance). And the tools that have no trade to score keep no win-rate — and say so. That refusal to fake a number is the whole pitch.
The honesty is the feature
It never predicts, it quotes the numbers already on your screen, and it tells you when it doesn't know.
Most indicators vs the Co-Pilot
| A normal indicator | The Co-Pilot | |
|---|---|---|
| Tone | “BUY” / “92% accurate” | “leaning long — confirm on your timeframe” |
| Numbers | a confidence it can't justify | quotes the figures already on your chart — words and numbers always agree |
| Blind spots | never mentioned | named out loud: news, order flow, depth, the next tick |
| On conflict | picks a side anyway | “signals conflict — no clean read; stand aside” |
| Track record | a cherry-picked win rate | an honest hold-%, tagged “not an edge” — or none when there's no trade |

Use it & own it forever
A drop-in layer for any Pine system — one file to run it in your AI, and the whole kit to keep.
How you run it — copy, paste, done.
# Open Claude / ChatGPT / Cursor / Gemini, then:
⤵ drop in: START_HERE_AI.md
"Read START_HERE_AI.md and pine-narrative/SKILL.md, then add a Co-Pilot
narrative panel to my EMA-pullback indicator — six layers, Pro depth,
a causal track record, and the blind spots — and tell me how to
verify it on TradingView."
→ it inventories your system's state and renders the panel — it
translates what you already compute, it never predicts.What you can ask it to do
- “Add a Co-Pilot panel to my indicator”It inventories your system's state and renders the six-layer panel, consistent with the chart.
- “Wire an honest track record”A strictly causal hold-% that counts only resolved setups, always tagged “small sample, not an edge.”
- “Tune the depth and persona”Off → Pro, and Analyst / Coach / Risk-manager — your panel, your voice.
- “Adapt it for a context tool”Context, never “buy”, and it drops the track record when there's no trade to score.
What's in the box
- START_HERE_AI.mdThe one file you drop into your AI. It teaches the AI the whole kit — what to read, the rules it can't break, a ready first prompt.
- The skill + the engineThe Discover → Map → Generate → Render method, the six-layer Co-Pilot, the binding honest-tone standard and the drop-in narrative engine.
- The honest track-record trackerA strictly causal, stop-first tracker so the on-chart hold-% can never flatter itself.
- A worked demo + guidesA built Co-Pilot demo to read and adapt, plus a plain-English quickstart.
The moment you pay
- Instant accessPay by card, Google Pay or PromptPay and the kit is yours right away — one ZIP, link emailed too.
- Yours forever + free updatesNot a rental. No expiry, no seat check; every future version is free — email support@pulltrade.app.
- 7-day refund — before you downloadChanged your mind and haven't downloaded? Full refund within 7 days, no questions. Once you download, the window closes — files can't be returned.
Honest FAQ
The things you'd actually want to ask — answered without spin.
An explanatory layer that describes current state in plain language — it adds no new signal, changes no behaviour, and never forecasts. It may state there's no clean read. Any levels shown are reference values from the host system's own geometry.
Own every line — and extend it forever.
The full source, the AI-agent kit and free updates for life — yours the moment you pay.
Early-access launch price · full refund within 7 days · own the source forever
Eleven tools.
One honest line.
The entire ProEA Lab Pine line in one pack — five indicators and six skills & kits, every Pine v6 source and every AI-extend kit. Build a system, validate it, render it, risk-gate it, then audit it — honestly, end to end.
Pine Narrative is an explanatory layer that describes a trading system's current state in plain language — not financial advice, not a signal service, and not a prediction of future market behaviour. It reads the host system's existing state and adds no new signal; it does not forecast outcomes. No win-rate, profit, or performance is claimed or implied — by design, the narrative describes state and plan, never outcome, and may state that there is no clean read. Trading involves risk; forward-test on a demo and manage your own risk. © 2026 ProEA Lab.