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PineScript API
Build, run, and analyze Pine strategies in ChatGPT
Turn a trading idea or Pine Script v6 strategy into a documented backtest inside ChatGPT. PineScript API validates compatible code, resolves datasets and settings, runs close-only OHLC simulations, and returns performance, risk, trades, and the exact script used. It also supports conversational analysis and input optimization, while rejecting unsupported behavior instead of silently changing strategy logic.
I built PineScript API because testing a trading idea usually involves too much context switching.
You describe the strategy in one place, write or debug Pine Script somewhere else, configure the market and backtest settings, run the test, and then move the results into another tool just to understand what happened.
I wanted to bring that entire loop into a single ChatGPT conversation.
With PineScript API, you can describe a strategy in plain English or paste an existing Pine Script v6 strategy. It can generate or validate compatible code, resolve the dataset and execution settings, run the backtest, and return performance, risk metrics, trades, and the exact script that produced the result.
You can then continue the conversation to investigate drawdowns, compare long and short performance, review individual trades, or test multiple input configurations.
One of the most important design decisions was transparency. PineScript API does not claim to support every TradingView feature. When a strategy depends on behavior outside the supported execution model, it rejects it rather than silently rewriting the logic and presenting results for a different strategy.
Every completed run also includes an auditable receipt with the script, dataset coverage, resolved settings, engine build, and request fingerprints.
I’d love to hear how you currently test Pine strategies, which workflows feel the most repetitive, and what you’d like to see supported next.
Thanks for checking it out!
About PineScript API on Product Hunt
“Build, run, and analyze Pine strategies in ChatGPT”
PineScript API was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #78 on the daily leaderboard. Turn a trading idea or Pine Script v6 strategy into a documented backtest inside ChatGPT. PineScript API validates compatible code, resolves datasets and settings, runs close-only OHLC simulations, and returns performance, risk, trades, and the exact script used. It also supports conversational analysis and input optimization, while rejecting unsupported behavior instead of silently changing strategy logic.
On the analytics side, PineScript API competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how PineScript API performed against the three products that launched closest to it on the same day.
Who hunted PineScript API?
PineScript API was hunted by Ethan Cooper. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PineScript API including community comment highlights and product details, visit the product overview.
Ethan Cooper