█ Introduction and How it is Different
The AI SuperTrend x Pivot Percentile strategy is a sophisticated trading approach that integrates AI-driven analysis with traditional technical indicators. Combining the AI SuperTrend with the Pivot Percentile strategy highlights several key advantages:
1. Enhanced Accuracy in Trend Prediction: The AI SuperTrend utilizes...
## █ Introduction and How it is Different
The trading strategy in question is an enhanced version of the SuperTrend indicator, combined with AI elements and an ADX filter. It's a multi-timeframe strategy that incorporates two SuperTrends from different timeframes and utilizes a k-nearest neighbors (KNN) algorithm for trend prediction. It's different from...
Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the...
This Indicator, will rate multiple different lengths of RSIs to determine which RSI to RSI MA cross produced the highest profit within the lookback span. This ‘Optimal RSI’ is then passed back, and if toggled will then be thrown into a Machine Learning calculation. You have the option to Filter RSI and RSI MA’s within the Machine Learning calculation. What this...
The SuperTrend is a very useful Indicator to display when trends have shifted based on the Average True Range (ATR). Its underlying ideology is to calculate the ATR using a fixed length and then multiply it by a factor to calculate the SuperTrend +/-. When the close crosses the SuperTrend it changes direction.
This Strategy features the Traditional SuperTrend...
Trend lines have always been a key indicator that may help predict many different types of price movements. They have been well known to create different types of formations such as: Pennants, Channels, Flags and Wedges. The type of formation they create is based on how the formation was created and the angle it was created. For instance, if there was a strong...
█ Introduction and How It is Different
The Double AI Super Trend Trading Strategy is a cutting-edge approach that leverages the power of not one, but two AI algorithms, in tandem with the SuperTrend technical indicator. The strategy aims to provide traders with enhanced precision in market entry and exit points. It is designed to adapt to market conditions...
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 and How it is Different
The AI Supertrend Strategy is a unique hybrid approach that employs both traditional technical indicators and machine learning techniques. Unlike standard strategies that rely solely on traditional indicators or mathematical models, this strategy integrates the power of k-Nearest Neighbors (KNN), a machine learning...
█ 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...
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...
█ OVERVIEW
A Lorentzian Distance Classifier (LDC) is a Machine Learning classification algorithm capable of categorizing historical data from a multi-dimensional feature space. This indicator demonstrates how Lorentzian Classification can also be used to predict the direction of future price movements when used as the distance metric for a novel implementation of...
Library "kNN"
Collection of experimental kNN functions. This is a work in progress, an improvement upon my original kNN script:
The script can be recreated with this library. Unlike the original script, that used multiple arrays, this has been reworked with the new Pine Script matrix features.
To make a kNN prediction, the following data should be supplied...
Description:
kNN is a very robust and simple method for data classification and prediction. It is very effective if the training data is large. However, it is distinguished by difficulty at determining its main parameter, K (a number of nearest neighbors), beforehand. The computation cost is also quite high because we need to compute distance of each instance to...
This is an experimental strategy that uses a Volume-weighted MA (VWMA) crossing together with Machine Learning kNN filter that uses ADX and MFI to predict, whether the signal is useful. k-nearest neighbours (kNN) is one of the simplest Machine Learning classification algorithms: it puts input parameters in a multidimensional space, and then when a new set of...
kNN-based Strategy (FX and Crypto)
Description:
This update to the popular kNN-based strategy features:
improvements in the business logic,
an adjustible k value for the kNN model,
one more feature (MOM),
a streamlined signal filter and
some other minor fixes.
Now this script works in all timeframes !
I intentionally decided to...
![BTCUSD: AI SuperTrend x Pivot Percentile - Strategy [PresentTrading]](https://s3.tradingview.com/e/eC3qAYNQ_mid.png "AI SuperTrend x Pivot Percentile - Strategy [PresentTrading]")
![BTCUSD: Multi-TF AI SuperTrend with ADX - Strategy [PresentTrading]](https://s3.tradingview.com/f/FeoUBe91_mid.png "Multi-TF AI SuperTrend with ADX - Strategy [PresentTrading]")
![BTCUSDT: Machine Learning: VWAP [YinYangAlgorithms]](https://s3.tradingview.com/v/vhEiWwdk_mid.png "Machine Learning: VWAP [YinYangAlgorithms]")
![BTCUSDT: Machine Learning: Optimal RSI [YinYangAlgorithms]](https://s3.tradingview.com/b/bLOzFkhi_mid.png "Machine Learning: Optimal RSI [YinYangAlgorithms]")
![BTCUSDT: Machine Learning: SuperTrend Strategy TP/SL [YinYangAlgorithms]](https://s3.tradingview.com/9/9Mm3qKME_mid.png "Machine Learning: SuperTrend Strategy TP/SL [YinYangAlgorithms]")
![BTCUSDT: Machine Learning: Trend Lines [YinYangAlgorithms]](https://s3.tradingview.com/u/U3CHwiXZ_mid.png "Machine Learning: Trend Lines [YinYangAlgorithms]")
![BTCUSD: Double AI Super Trend Trading - Strategy [PresentTrading]](https://s3.tradingview.com/h/hLZPT7it_mid.png "Double AI Super Trend Trading - Strategy [PresentTrading]")
![BTCUSDT: Machine Learning: Support and Resistance [YinYangAlgorithms]](https://s3.tradingview.com/h/hurudMoT_mid.png "Machine Learning: Support and Resistance [YinYangAlgorithms]")
![BTCUSDT: AI Momentum [YinYang]](https://s3.tradingview.com/n/NKUsm5uR_mid.png "AI Momentum [YinYang]")
![BTCUSD: AI SuperTrend - Strategy [presentTrading]](https://s3.tradingview.com/e/eaTIyEty_mid.png "AI SuperTrend - Strategy [presentTrading]")
![EURUSD: AI Trend Navigator [K-Neighbor]](https://s3.tradingview.com/3/30aLnPNh_mid.png "AI Trend Navigator [K-Neighbor]")
