TradingView to cTrader: 3 Ways to Turn a TradingView Strategy Into a cTrader Bot

TradingView strategies can't run on cTrader directly. Pine Script only runs on TradingView, and cTrader's bots, called cBots, are written in C# or Python. To trade a TradingView strategy on a cTrader account automatically, you have three options:

1. Rewrite it as a cBot and run it inside cTrader.
2. Send TradingView alerts to a webhook bridge that places the orders on cTrader.
3. Rebuild the rules on a platform that runs them on cTrader for you, without code.

Each one moves your strategy, but none of them moves your backtest. A Pine strategy that looked good in TradingView's Strategy Tester has to be re-checked wherever it ends up, because fills, costs and data differ.

The three routes compared

Route 1: rewrite the strategy as a cBot

cTrader's automation side is called cTrader Algo. Its help centre describes a cBot as code written in C# or Python against the cTrader Algo API, with methods that run when the bot starts, on every tick, when a candle closes and when it stops.

To move a Pine strategy across, you translate each part by hand or with an AI coding assistant:

• Indicators. Pine's built-in ta. functions need cTrader equivalents. Check that the settings match exactly; small differences in how a moving average or ATR is seeded change signals.
• Entries and exits. Pine's strategy.entry() and strategy.exit() become order calls. Stop and target logic, partial closes and trailing stops all need writing out.
• Timing. Pine strategies usually act on the candle close. In cTrader, put that logic in the method that runs when a new candle forms, not on every tick, or the bot will trade more often than the backtest did.
• Sessions and time zones. Pine uses the exchange's time zone by default. Check the time zone your cTrader account and data use, or session filters will shift.

Then backtest the cBot in cTrader with your broker's costs and compare the trades with TradingView's list. Expect some differences from data feeds and fills; a large difference usually means a translation error.

This route gives you full control and a cBot you own. It also leaves you hosting and monitoring the bot. Our guide to Claude and Codex for trading bots covers what AI coding assistants get wrong in this kind of translation.

Route 2: TradingView alerts to a webhook bridge

Here the strategy stays in TradingView. You add an alert_message to each order in your Pine strategy, create an alert on it with a webhook URL, and a third-party bridge receives each message and places the order on your cTrader account. Our guide to automating a Pine Script strategy walks through the alert and webhook setup step by step.

Two things to know before you choose it:

• The alert doesn't follow your edits. TradingView's alert documentation says a running alert keeps the version of the script it was created with. Change the script or its inputs and you must delete and recreate the alert.
• The bridge holds your account access. It places orders on your behalf, so check its security, its permissions and what happens if it goes down while you have a position open.

Your backtest is still TradingView's Strategy Tester, so the usual caveats apply: fills on the bar close, optimistic intrabar assumptions and costs you entered yourself. See why backtests and live results differ.

Route 3: rebuild the rules and run them on cTrader without code

The third route skips Pine and cBots. You rebuild the strategy's rules on a platform that backtests them and then sends orders to your cTrader account through cTrader's own sign-in.

This is how Tessera works:

1. Rebuild the rules in Strategy Lab. Describe the strategy to TES, the AI strategy coach, in plain English: the setup, entry, stop, target and session. You can add up to two chart screenshots. TES builds the strategy and runs the backtest. Strategy Lab doesn't import Pine Script code, so describe the rules rather than pasting the script.
2. Compare it with your TradingView results. Check the trade count, win rate and average trade against your Strategy Tester list. If they're far apart, a rule was read differently; ask TES to adjust it. Strategy Lab can also export the strategy as Pine Script v6, so you can run both versions side by side on TradingView to check they take the same trades.
3. Check that the result holds up. Every backtest gets an unseen-period verdict, a first-half against second-half check and a costs check. The robustness report adds Monte Carlo, price noise and a test on other markets. See how to tell if a backtest is overfit.
4. Run it on cTrader with Launchpad. Sign in with cTrader, choose a demo or live account, and run the strategy on Paper first, then Copilot (you approve each trade on Telegram), then Autopilot (it trades inside your daily loss, trade count and hours limits). Orders go to cTrader as market orders with the stop and target attached at the broker.

What this route doesn't do: it doesn't produce a cBot file, and TradingView alerts can't trigger Launchpad. The strategy runs from Strategy Lab's rules, not from your Pine script.

Strategy Lab is free to start with no card. Launchpad is on paid plans from $39 a month; see pricing. For the full walkthrough of the cTrader side, see build a cTrader bot without coding.

Which route should you use?

• You code, or want a cBot you own: rewrite it as a cBot.
• Your strategy depends on Pine features you can't describe as plain rules, such as a complex custom indicator: keep it in TradingView and use a webhook bridge.
• You don't code and want the strategy tested before it trades: rebuild it and run it without code.

Whichever route you choose, run it on a cTrader demo account first and compare the live trades with the backtest before you trade real money.

Running it on a cTrader prop firm account

Several prop firms offer cTrader accounts. Whether a bot, a bridge or a third-party platform may trade one is the firm's rule. FundedNext, for example, doesn't allow EAs (Expert Advisors, trading bots for MetaTrader) on its cTrader CFD accounts, while FTMO allows algorithmic trading within its limits. Read the firm's automation terms and ask support in writing first. Our guide to prop firm trading bots covers the rules that most often fail a bot.