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 cTrader Liquidation Heatmap Indicator visualises liquidity concentrations as a live, colour-based heatmap on your chart. It highlights price levels where liquidity may accumulate or dry up, helping traders identify areas of potential liquidation, clustering, and institutional interest. With adjustable lookback periods, colour gradients, and distribution models, it provides an intuitive map of hidden market structure. This is a liquidity visualisation and market structure indicator for cTrader.
The cTrader Liquidity Sweep Indicator detects and highlights price sweeps on both the buy and sell sides of the market. It identifies when liquidity zones are taken out and the price immediately reverses, revealing potential areas of smart money manipulation or exhaustion. With real-time visuals, alerts, and a live statistics panel, this tool helps traders identify high-probability reversal points that are often missed by standard indicators. This is a market structure and reversal-detection indicator designed to visualise liquidity grabs and stop-hunt events on any symbol or timeframe.
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.
The Gaussian Mixture Model (GMM) clustering indicator is an advanced analytical tool using machine learning to identify and cluster patterns in financial data. Developed with Accord.NET and optimized for cTrader, this indicator uses GMMs to classify market data statistically to provide accurate trade signals. Forex Symbols Only.
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. The system is endowed with a superior capacity to visualise data and trends, highlighting essential trading signals directly on your chart. This feature is vital for quickly identifying trading opportunities and facilitating agile decisions based on reliable information.