cTrader Automation (cBots and Automated Trading)

What is a cBot

A cBot is an automated trading program that runs inside cTrader. You attach it to a chart, and it monitors the market according to rules defined in its code. When the conditions are met, the cBot places trades, sets stop-losses and take-profits, manages open positions, and closes trades, all without manual input.

The name "cBot" comes from "cTrader Robot." Functionally, cBots do the same job as MetaTrader's Expert Advisors, but they are built using different technology.

How cBots differ from Expert Advisors

The biggest difference is the programming language. cBots use C#, while MetaTrader EAs use MQL4 or MQL5. C# is a general-purpose language used in web development, game development (Unity), enterprise software, and many other fields.

• C# skills you learn for cTrader are transferable to other programming projects
• The C# ecosystem has a vast library of resources, tutorials, and community support
• Modern programming tools like Visual Studio can be used for cBot development
• C# supports object-oriented programming, which makes complex bots easier to organize

For non-programmers, the choice between C# and MQL depends on which language you find easier to learn. C# is more powerful but also more complex. MQL4 is simpler but limited to trading applications.

How to install and run a cBot

Installing a pre-built cBot:

• Download the cBot file (.algo format)
• Double-click the file, and cTrader will install it automatically
• Alternatively, go to cTrader Algo, navigate to the cBots section, and import the file

Running a cBot:

• Open a chart for the currency pair and timeframe you want to trade
• In the cTrader Algo panel, find your cBot under the cBots section
• Double-click the cBot or drag it onto the chart
• Configure the parameters (lot size, stop-loss, strategy settings, etc.)
• Click Start to begin automated trading
• The cBot will show as active on the chart, and you will see its activity in the trade log

Stopping a cBot:

• Click the Stop button in the cBot panel, or right-click on the chart and stop the cBot from there
• Note that stopping a cBot does not automatically close its open trades. You need to manage those separately if desired.

Where to find cBots

• cTrader Marketplace has free and paid cBots with descriptions and user reviews
• cTDN community where developers share open-source cBots
• Trading forums with dedicated cTrader sections
• Freelance C# developers who can build custom cBots based on your strategy

Like MetaTrader EAs, cBots come in various styles

• Trend-following cBots that identify and trade with the prevailing market direction
• Range-trading cBots that buy at support and sell at resistance in sideways markets
• Scalping cBots that make many small, quick trades, ideal for scalping strategies
• Breakout cBots that trade when the price breaks through key levels
• Grid and martingale cBots that use position-sizing strategies (use these with extreme caution)
• Multi-pair cBots that monitor and trade several currency pairs from a single instance

Backtesting cBots

cTrader includes a backtesting engine within cTrader Algo. You can test your cBot against historical data to see how it would have performed.

To run a backtest

• Go to cTrader Algo and select your cBot
• Click the Backtest tab
• Choose the symbol, timeframe, date range, and starting balance
• Configure the cBot's parameters
• Click Start to run the backtest
• Review the results including profit/loss, drawdown, and trade statistics

The backtesting engine supports both visual mode (where you can watch the trades happen on a chart) and fast mode (where results are calculated as quickly as possible).

Optimization

cTrader also supports parameter optimization, where you test many different combinations of settings to find the best-performing values. This is similar to MetaTrader's optimization feature and helps you fine-tune your strategy.

All the standard warnings about automated trading apply

• No cBot guarantees profits. Every automated strategy has losing periods.
• Backtest extensively before going live. Use different date ranges and market conditions.
• Demo test on a demo account for a meaningful period after backtesting to verify real-world performance.
• Avoid over-optimization. Settings tuned perfectly to past data often fail on new data.
• Start small. Use minimum lot sizes when first going live with a cBot.
• Use a VPS if you need the cBot running 24/7, since cTrader must be open for the bot to work.
• Monitor regularly. Even automated strategies need human supervision. Check in daily.