Explore our collection of free algorithmic templates for cTrader. These examples are provided for educational use to demonstrate how trading automation works. They are not investment advice and are intended only to help you learn coding and strategy design in cTrader.. Please read our full disclaimer.
The cTrader Stochastic Oscillator Trading Strategy uses a momentum indicator, the stochastic oscillator, to analyze a security’s price movement and determine potential entry and exit points. This cBot includes many risk features including email and Telegram alerts. Full Source Code Included.
Traders use Bollinger Bands because they help identify overbought and oversold conditions, detect volatility changes, and analyze trends. Prices near the upper band may signal overbought levels, while those near the lower band suggest oversold conditions. The bands widen during high volatility and narrow during low, giving visual cues for potential breakouts or consolidations. Full Source Code Included.
Traders can utilize the cTrader Aroon Oscillator to determine trend direction and make trading decisions accordingly. When the positive oscillator signals an uptrend, traders can open long positions. Conversely, traders can initiate short positions if the negative oscillator indicates a downtrend. This strategy automatically opens and manages your trades 24/7 with a Telegram alert. Full Source Code Included.
The MACD (Moving Average Convergence Divergence) and RSI (Relative Strength Index) are popular technical indicators traders use to identify potential buy and sell signals in the stock market, both indicators serve different purposes and, when used together, can provide complementary insights into market conditions. This strategy automatically opens and manages your trades 24/7 with a Telegram alert. Full Source Code Included.
This starter kit for algo developers uses an open-source Supertrend indicator which is a technical analysis tool used primarily in trading to identify the direction of the prevailing market trend and generate buy or sell signals. The Supertrend indicator is especially useful in trending markets but might produce false signals in choppy or sideways markets. Hence, it's often used together with other indicators.
This product is for educational purposes only. Full Source Code Included.
This starter kit for algo developers uses an open-source On-Balance-Volume (OBV) trading strategy to make buy and sell decisions based on the relationship between price movements and volume. OBV is a technical analysis tool that measures buying and selling pressure by adding volume on up days and subtracting volume on down days. An additional confirmation RSI indicator is added for a stronger signal.
This product is for educational purposes only. Full Source Code Included.
The Smart Grid Template is an educational example for cTrader that demonstrates how grid logic can be combined with multi-timeframe technical indicators. It showcases how an automated system can place orders on price retracements using predefined rules. The algo highlights how to structure a core algorithm for research and learning purposes. This template is not intended as financial advice and is provided for educational purposes only.
This project is a community-developed example for cTrader that demonstrates the features of a semi-automated trading system. It shows how smart-grid logic can be combined with risk-management functions and multi-timeframe technical indicators. The template also illustrates how to extend the system to handle multiple symbols simultaneously. Provided for educational use only, this algo is not intended to be financial advice or a performance-guaranteed trading system.
This starter kit for algo developers uses an open-source Multi-Timeframe cTrader Relative Strength Index Strategy, it can automatically open, close and manage positions for the cTrader Desktop platform. The strategy also uses built-in risk management and the ability to send Telegram trade signals.
This product is for educational purposes only. Full Source Code Included.
This starter kit for algo developers uses an open-source Multi-Timeframe cTrader Hull & Simple Moving Average Strategy, it can automatically open, close and manage positions for the cTrader Desktop platform. The strategy also uses built-in risk management and the ability to send Telegram trade signals.
This product is for educational purposes only. Full Source Code Included.
An educational RSI example for cTrader that demonstrates signal generation from relative strength levels. It demonstrates how to identify overbought and oversold conditions, optionally trigger automated order placement for testing, and send alerts via email and on-screen pop-ups. Provided with source code for learning. Not financial advice.
This template collection demonstrates how to build a multi-symbol trading system for cTrader. It shows how to integrate more than 60 technical indicators to detect predefined bullish or bearish conditions. The example also includes risk-management features such as pausing activity around high-impact news events. You can study system design, optimisation, and backtesting methods. For educational use only. Not financial advice.
This cBot is a community-developed project for cTrader based on the Waddah Attar Explosion indicator combined with additional trend filters. It demonstrates how to incorporate entry logic, risk-management rules, and profit-locking functions within an automated system. The cBot also includes optional trade alerts via Telegram and email. Provided as an educational example only. Not financial advice and not a performance-guaranteed trading system.
The cTrader Algorithmic Strategy Builder is a powerful tool for traders to create, test, and execute customised strategies based on technical analysis, trade rules and risk management. The tool also has a feature to automatically create Microsoft C# source code for the strategy that was built and import it into cTrader to build cBots and make modifications. It can also be used to send trade signals for manual trading. No coding experience required.
The Neptune EURUSD Template for cTrader illustrates how to combine multiple trend-based indicators with integrated risk management rules. It also shows how to pause activity around scheduled high-impact news events. The example includes parameter settings that can be adjusted and tested on historical data. This template is provided for educational use only. It is not financial advice and does not guarantee trading performance.
We offer a service to help you build your automated trading robot (cBot) or indicator for the cTrader Desktop platform to your requirements. Our service also covers converting your Metatrader MT4 Expert Advisors across to the cTrader trading platform. We have over 7 years of experience helping over 1400 customers with their projects. cTrader Partner, excellent customer service, real reviews, UK Based company.
The Moving Average Template for cTrader demonstrates how to build an automated system that reacts to moving average crossovers. It includes eight different moving average types and adjustable parameters so you can study how variations affect trade logic across symbols. Provided for educational use only. Not financial advice and not a performance-guaranteed trading system.
The Neptune EURGBP Template for cTrader illustrates how to combine multiple trend-based indicators with integrated risk management functions. It also shows how to pause activity during scheduled high-impact news events. The template includes adjustable parameters that can be tested on historical data. Provided for educational use only. Not financial advice and not a performance-guaranteed trading system.
This template demonstrates how to automate trading logic in cTrader using the Hull Moving Average (HMA) indicator, created by Alan Hull. It shows how to generate entry and exit conditions, add alerts via popup, email, or Telegram, and integrate scheduled news-event controls. The example includes parameters that can be adjusted and tested on different symbols, including Gold. Provided for educational use only. Not financial advice and not a performance-guaranteed trading system.
This cTrader cBot contains example source code demonstrating how to easily send Telegram alerts from your cBots or indicators with a few lines of code written in Microsoft C# which can be used for status updates or trade signals. The example is suitable for beginner coders looking at adding new features to their systems.
Create cTrader Algorithmic Trading Strategies with no coding experience, this free beta version provides a combination of all the moving averages. The Algo Strategy Builder is a powerful tool for traders to create, test, and execute customised algorithmic trading strategies based on technical analysis using all the major moving averages. It can also be used to send trade signals for manual trading.
This basic starter kit for algo developers uses a cTrader Detrended Price Oscillator (DPO) trading system to open and close trades based on the standard DPO indicator built into the trading platform. This strategy opens trades based on the DPO's last calculated value being greater or less than zero. This cBot includes the full source code for modifications.
This basic starter kit for algo developers uses a cTrader Donchian Channel trading system to open and close trades based on the standard Donchian Channel indicator built into the trading platform. This strategy opens trades based on the candle's low or high prices breaking pass the indicator's top or bottom price lines, these are known as breakout signals. This cBot includes the full source code for modifications.
This basic starter kit for algo developers uses a cTrader Fractal Bands trading system to open and close trades based on the standard Fractal Bands Chaos indicator built into the trading platform. It works by checking reversal points in the markets and it will determine when to open and close buy and sell trades. This cBot includes the full source code for modifications.
This basic starter kit for algo developers uses an open-source cTrader Bill Williams Alligator trading system to open and close trades based on the standard alligator indicator built into the trading platform. It works by checking the alligator's teeth and lips to determine when to open and close buy and sell trades.This cBot includes the full source code for modifications.