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:
This script implements a comprehensive trading strategy that adheres to the established rules and guidelines of housing trading. It leverages advanced machine learning techniques and incorporates customised moving averages, including the Conceptive Price Moving Average (CPMA), to provide accurate signals for informed trading decisions in the housing...
Based in the model of Machine learning: Lorentzian Classification by @jdehorty, you will be able to get into trending moves and get interesting entries in the market with this strategy. I also put some new features for better backtesting results!
Backtesting context: 2022-07-19 to 2023-04-14 of US500 1H by PEPPERSTONE. Commissions: 0.03% for each entry, 0.03%...
█ 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...
![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]")
