Overview: Support and Resistance is normally based upon Pivot Points and Highest Highs and Lowest Lows. Many times coders even incorporate Volume, RSI and other factors into the equation. However there may be a downside to doing a pure technical approach based on historical levels. We live in a time where Machine Learning is becoming more and more used; thus we...
Overview: AI Momentum is a kernel function based momentum Indicator. It uses Rational Quadratics to help smooth out the Moving Averages, this may give them a more accurate result. This Indicator has 2 main uses, first it displays ‘Zones’ that help you visualize the potential movement areas and when the price is out of bounds (Overvalued or Undervalued). Secondly...
Introduction: This script represents a methodical integration of advanced machine learning techniques into financial market analysis. Utilizing the k-Nearest Neighbors (kNN) algorithm, a supervised learning method, the script systematically processes historical price data to detect anomalies in investor sentiment. By analyzing divergences between normalized...
⚠️❗ Important Limitations: Due to the way this script is designed, it operates specifically under certain conditions: Stocks & Forex : Only compatible with timeframes of 8 hours and above ⏰ Crypto : Only works with timeframes starting from 4 hours and higher ⏰ ❗Please note that the script will not work on lower timeframes.❗ Feature Extraction : It begins by...
The AI Channels indicator is constructed based on rolling K-means clustering, a common machine learning method used for clustering analysis. These channels allow users to determine the direction of the underlying trends in the price. We also included an option to display the indicator as a trailing stop from within the settings. 🔶 USAGE Each channel...
Library "SimilarityMeasures" Similarity measures are statistical methods used to quantify the distance between different data sets or strings. There are various types of similarity measures, including those that compare: - data points (SSD, Euclidean, Manhattan, Minkowski, Chebyshev, Correlation, Cosine, Camberra, MAE, MSE, Lorentzian, Intersection, Penrose...
⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances...
The Machine Learning Regression Trend tool uses random sample consensus (RANSAC) to fit and extrapolate a linear model by discarding potential outliers, resulting in a more robust fit. 🔶 USAGE The proposed tool can be used like a regular linear regression, providing support/resistance as well as forecasting an estimated underlying trend. Using RANSAC...
█ OVERVIEW K-means is a clustering algorithm commonly used in machine learning to group data points into distinct clusters based on their similarities. While K-means is not typically used directly for identifying support and resistance levels in financial markets, it can serve as a tool in a broader analysis approach. Support and resistance levels are price...
The AI SuperTrend Clustering Oscillator is an oscillator returning the most bullish/average/bearish centroids given by multiple instances of the difference between SuperTrend indicators. This script is an extension of our previously posted SuperTrend AI indicator that makes use of k-means clustering. If you want to learn more about it see: 🔶 USAGE The...
The SuperTrend AI indicator is a novel take on bridging the gap between the K-means clustering machine learning method & technical indicators. In this case, we apply K-Means clustering to the famous SuperTrend indicator. 🔶 USAGE Users can interpret the SuperTrend AI trailing stop similarly to the regular SuperTrend indicator. Using higher minimum/maximum...
█ Overview The Machine Learning Momentum Index (MLMI) represents the next step in oscillator trading. By blending traditional momentum analysis with machine learning, MLMI delivers a potent and dynamic tool that aligns with the complexities of modern financial landscapes. Offering traders an adaptive way to understand and act on market momentum and trends,...
█ Overview In the evolving landscape of trading and investment, the demand for sophisticated and reliable tools is ever-growing. The AI Trend Navigator is an indicator designed to meet this demand, providing valuable insights into market trends and potential future price movements. The AI Trend Navigator indicator is designed to predict market trends using...
The Giga Kaleidoscope GKD-C EP SSA of Normalized Price is a confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System." █ GKD-C End Pointed SSA of Normalized Price Caterpillar SSA is a variant of Singular Spectrum Analysis (SSA) that is specifically designed for time series with missing values. It is a non-parametric method that...
The RibboNN ML indicator is a powerful tool designed to predict the direction of the market and display it through a ribbon-like visual representation, with colors changing based on the prediction outcome from a conditional class. The primary focus of this indicator is to assist traders in trend following trading strategies. The RibboNN ML in action ...
The Wick-to-Body Ratio Trend Forecast Indicator aims to forecast potential movements following the last closed candle using the wick-to-body ratio. The script identifies those candles within the loopback period with a ratio matching that of the last closed candle and provides an analysis of their trends. ➡️ USAGE Wick-to-body ratios can be used in many...
The RSI-MFI Machine Learning Indicator is a technical analysis tool that combines the Relative Strength Index (RSI) and Money Flow Index (MFI) indicators with the Manhattan distance metric. It aims to provide insights into potential trade setups by leveraging machine learning principles and calculating distances between current and historical data points. ...
What is Median Filtering ? Median filtering is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Median filtering is very widely used in digital image processing because, under...