You have a strategy in your head, in a spreadsheet, or in a chat with an AI. Now you need it as Pine Script v6 you can actually load on TradingView and test. The hard part isn't writing code that compiles — it's writing code that does what you meant, without quietly relying on data it wouldn't have had in real time. The ForexCodes Strategy Validator converts your plain-English or AI-generated strategy into Pine Script v6 and checks it for the silent issues that can make a backtest look cleaner than live trading would: look-ahead bias, repainting, and rules that don't match your intent. This page walks through how the conversion works, what we check for that a general-purpose chatbot usually doesn't, and why that validation step matters before you risk anything. Educational and software-focused only — nothing here predicts the market, and trading carries real risk of loss.
Start with your strategy in plain English ("go long when the 50 EMA crosses above the 200 EMA, exit on the opposite cross, risk 1% per trade") or paste code an AI already drafted for you. The Validator parses your entry rules, exit rules, filters, and risk logic, then generates Pine Script v6 — using the correct modern namespaces (ta., math., request.*), the //@version=6 header, and strategy() or indicator() declarations as appropriate. No deprecated study() or bare security() calls. From there it runs a validation pass that compares the generated code against what you described, flags anything ambiguous, and surfaces the specific lines where your intent and the code could diverge. You review, adjust the plain-English description if needed, and regenerate. The output is meant to be readable: you should be able to follow every line, not just trust a black box.
General AI assistants are good at producing Pine Script that compiles. Compiling is not the same as being correct. The common issues we check for: (1) Look-ahead bias — code that references data not yet available at the bar it's trading on, often through misused request.security() lookahead settings, which lets a backtest effectively see the future. (2) Repainting — signals that can change after the bar closes, so what you saw live differs from what the historical test later shows. (3) Intent mismatches — the code compiles and looks plausible but does something subtly different from your words: an exit that fires one bar late, a filter applied to the wrong series, or a stop calculated off the wrong reference price. (4) Version and namespace issues — v4/v5 patterns or bare security() calls that a chatbot pulled from older training data. A chatbot rarely flags any of this, because it's optimized for a confident answer, not a skeptical one. The Validator's job is to be the skeptic.
Suppose you ask for "a long entry when RSI(14) crosses above 30." A naive draft might compile and look fine, yet leave open exactly the realtime-versus-historical questions that distort testing. A clean v6 version reads like this:
//@version=6 strategy("RSI Cross Long", overlay=false) rsiLength = input.int(14, "RSI Length") rsiValue = ta.rsi(close, rsiLength) longCondition = ta.crossover(rsiValue, 30) and barstate.isconfirmed if longCondition strategy.entry("Long", strategy.long) plot(rsiValue, "RSI") hline(30, "Oversold")
Here ta.rsi uses the correct namespace, and ta.crossover compares the current bar's RSI against the previous bar's value — the standard way to detect a cross. By adding barstate.isconfirmed, the entry only acts once the bar has closed, which keeps live behavior consistent with the historical test rather than reacting to an in-progress bar. The Validator would also point out what's still undefined — there's no exit, no stop, and no position sizing yet — so you decide those explicitly rather than inheriting whatever a chatbot guessed. Any backtest you run from this code is still illustrative only: past behavior does not predict future results.
A backtest that looks unusually clean because of look-ahead bias isn't telling you about a good strategy — it's a broken measurement. The danger is that the chart looks convincing, so you trust it and only notice the gap when live results don't match. Validation matters because it separates two questions that are easy to confuse: "does this code run?" and "does this code honestly represent my rules using data that was actually available at the time?" Getting the second question right is what makes any later testing meaningful. It won't tell you whether a strategy is profitable — nothing can promise that, and trading always risks loss. What it can do is help ensure that when you evaluate your idea, you're evaluating your actual idea, correctly implemented in valid Pine Script v6, rather than an accidental version of it that fools your own backtest.
Yes. Paste the existing Pine Script (or the prompt and code together) and the Validator will check it against your stated intent, flag look-ahead bias, repainting, and version/namespace problems, and regenerate clean Pine Script v6 where needed. AI drafts often compile fine but contain exactly the silent issues validation is built to catch.
No, and you should be cautious of any tool that claims to. The Validator is educational and software-focused: it converts and checks that your code correctly implements the rules you described and is free of common technical biases. It makes no claim about profit, returns, or win rates. Any backtest is illustrative only — past performance does not predict future results, and trading carries risk of loss.
A chatbot optimizes for a confident, compiling answer. The Validator optimizes for correctness: it actively checks for look-ahead bias, repainting, intent mismatches, and outdated syntax, and shows you the specific lines where your description and the code could diverge — so you can catch issues before they distort your testing rather than after.
Educational & software only — not financial advice. Trading involves substantial risk of loss.