A specialised collection of cTrader indicators that explore unconventional market analysis methods. These tools use niche, calendar-based, seasonal, and experimental models to uncover patterns and behaviours often overlooked by traditional technical indicators. Perfect for traders who want to test innovative concepts and expand their strategy toolkit.
The Triangle Count Oscillator is a custom-built technical tool for cTrader that identifies repeating triangular patterns formed from swing highs and lows. It automatically draws triangles on the chart when spacing and swing criteria are met, while simultaneously plotting an oscillator line that tracks the count of active patterns. This provides traders with an extra layer of visual and statistical insight into recurring market structures and momentum. The Triangle Count Oscillator is a pattern recognition indicator that blends geometric chart analysis with an oscillator for quantitative confirmation.
The Wavelet-Based Volatility Filter for cTrader utilises advanced wavelet denoising on raw log returns, resulting in a cleaner volatility signal with adaptive scaling. It highlights low-volatility phases with a dynamic histogram mask, making regime shifts and potential breakout conditions instantly visible. This is a volatility indicator that combines statistical standard deviation with wavelet denoising and regime filtering.
The Seasonal Volatility Indicator for cTrader estimates recent volatility from the standard deviation of bar‑by‑bar intraday changes, then compares it to a rolling, month‑specific average. It helps you see whether today's conditions are unusually hot or quiet relative to the same calendar month, guiding position sizing, stop placement, and strategy selection. A volatility and seasonality context indicator.
A focused mean reversion tool for cTrader that converts price distance from its recent average into a standardised Z score. It flags statistically stretched conditions and plots simple buy and sell dots at extremes, helping you fade overextended moves, target a return to value, and manage trades with clear rules that are easy to test and follow in real time. The Mean Reversion Cycle Model is a statistical oscillator.
The cTrader Lunar Cycle Indicator overlays lunar phase events directly on your trading charts using moon emojis. It highlights New Moon, First Quarter, Full Moon, and Last Quarter with customizable symbols, colours, and optional vertical lines. A fun yet functional tool for traders who follow cycle-based models or want visual cues of lunar phases in their market analysis. The Lunar Cycle Indicator is best described as a cycle-based overlay indicator.
A MACD that tunes itself. This cTrader indicator uses a compact genetic algorithm to discover the best EMA smoothing factors for the fast leg, the slow leg, and the signal line. The fitness blends smoothness, responsiveness to price momentum, and healthy separation between MACD and signal, producing a cleaner histogram and earlier, steadier crossovers. Quantitative and Experimental Model.
The Holiday Effect Indicator for cTrader highlights public holidays and surrounding days directly on your charts, allowing traders to analyse recurring market behaviour during low-liquidity or high-volatility periods. Dates can be loaded from a CSV file or entered manually, with fully customisable before/after windows, colours, labels, and line styles, all without affecting price scaling. This is a calendar-based event marking indicator for cTrader, designed to help traders visualise non-price market drivers and time-based anomalies.
Introducing the Neural Network Oscillator with Genetic Optimisation for cTrader: a robust, data-driven momentum indicator that evolves its parameters on historical data. By harnessing genetic algorithms to fine-tune a compact neural network, it adapts to subtle market dynamics, delivering a forward-looking oscillator that seamlessly augments your traditional technical toolkit.Quantitative and Experimental Model.
Using the Twitter API, the Twitter Trading Bot for cTrader scans recent tweets containing keywords like Trump. It analyzes tweet content for trading signals, explicitly checks for your buy or sell phrases, and executes market orders. The bot runs continuously on every tick, ensuring real-time trade execution based on social media sentiment. This approach leverages news-driven trading to capitalize on market reactions to trending topics.
This GPT is an expert in cTrader, the popular trading platform. It guides users through installation, configuration, and trading strategies, utilising cTrader’s rich features. It assists users in selecting a reliable broker and ensures they comprehend the platform’s tools, such as charting, order execution, and risk management. Additionally, it is a guru in algorithmic trading with cTrader Algo. For coding help, use the CodePilot Plugin.
cTrader AI CodePilot is your intelligent assistant for writing, debugging, and optimising trading bots for the cTrader platform. It provides accurate C# code examples, real-time API guidance, and practical help with trading strategy ideas — all in plain language. Unlike general-purpose AI, CodePilot has been trained using real-world datasets, GitHub examples, and ClickAlgo's projects. Whether you're automating your first strategy or fine-tuning a complex system, it delivers fast, relevant answers without the noise. Build your cBots with ease.
Discover trading excellence with our advanced cTrader indicator, powered by machine learning, a true revolution in financial market analysis! This algorithm, more than just a complement, is a key tool for gaining a significant advantage in trading.
Try the ML k-NN J. Welles Wilder cTrader Indicator, a masterpiece blending next-generation machine learning with the time-honoured techniques of a trading legend. These machine-learning indicators will evolve to improve accuracy, but currently, they are an attempt to use the latest technology with existing tried and tested formulas. As with all indicators, use together with your existing strategy
The cTrader historical backtest Forex market data converter will convert a free market data file downloaded from Ducascopy into a format that can be loaded into the cTrader backtest module. Most brokers using cTrader only provide Forex data from 2011, this tool allows you to get data from 2004.
The cTrader Platform Health Monitoring Tool will send you an email, voice and pop-up alert when the platform is disconnected and reconnected from the internet or the broker data feed stops. This software is configurable with user settings and saving of log files for analysis.