Median Supertrend Concept by BackQuant © This was created since the normal supertrend is noisy, in the attempts to remove that and still get a good signal we decided to use a special median calculation as the source to a modified supertrend. This allows us to reduce noise, and make the supertrend adaptive to volatility. The full description and reasoning,...
Track the status of Bitcoin and Ethereum Miners' Netflows and their asset reserves. The Idea The goal is to provide a simple tool for visualizing the changes in miners' flows and reserves. How to Use Analysing the behaviour of miners enables you to detect long-term opportunities, in particular with the state of reserves, but also in the shorter term with...
█ Introduction and How it is Different The "Bitcoin Leverage Sentiment - Strategy " represents a novel approach in the realm of cryptocurrency trading by focusing on sentiment analysis through leveraged positions in Bitcoin. Unlike traditional strategies that primarily rely on price action or technical indicators, this strategy leverages the power of Z-Score...
The Backtesting System (SMC) is a strategy builder designed around concepts of Smart Money. What makes this indicator unique is that users can build a wide variety of strategies thanks to the external source conditions and the built-in one that are coded around concepts of smart money. 🔶 FEATURES 🔹 Step Algorithm Crafting Your Strategy: You can add...
This indicator calculates and visualizes the Relative Smoothness (RS) and Relative Lag (RL) or call it accuracy of a selected moving average (MA) in comparison to the SMA of length 2 (the lowest possible length for a moving average and also the one closest to the price). Median RS (Relative Smoothness): Interpretation: The median RS represents the median value...
▋ INTRODUCTION : The “ATR Levels” produces a sequence of horizontal line levels above and below the Center Line (reference level). They are sized based on the instrument's volatility, representing the average historical price movement on a selected higher timeframe using the average true range (ATR) indicator. _______________________ ▋ OVERVIEW: ...
Hello Fellas, Hereby, I come up with a popular strategy from YouTube called Octopus Nest Strategy. It is a no repaint, lower timeframe scalping strategy utilizing PSAR, EMA and TTM Squeeze. The strategy considers these market factors: PSAR -> Trend EMA -> Trend TTM Squeeze -> Momentum and Volatility by incorporating Bollinger Bands and Keltner Channels Note:...
The LuxAlgo® - Screener (OSC) is a complete tool allowing users to check returned information from the Oscillator Matrix™ toolkit's features for various user selected tickers and timeframes. Users can customize the returned information by the screener, as well as filtering out displayed tickers based on custom user set rules. 🔶 FEATURES Users can place...
The LuxAlgo® - Screener (PAC) is a complete tool allowing users to check returned information from the Price Action Concepts™ toolkit's features for various user selected tickers and timeframes. Users can customize the returned information by the screener, as well as filtering out displayed tickers based on custom user set rules. 🔶 FEATURES Users can...
The LuxAlgo® - Screener (S&O) is a complete tool allowing users to check returned information from Signals & Overlays™ features for various user selected tickers and timeframes. Users can customize the returned information by the screener, as well as filtering out displayed tickers based on custom user set rules. 🔶 FEATURES Users can place the location of...
This indicator is designed for traders and analysts who employ Machine Learning (ML) techniques for cross-validation in financial markets. The script visually segments a selected range of historical price data into splits and batches, helping in the assessment of model performance over different market conditions. User Theory In ML, cross-validation is a...
Overview This indicator calculates volatility using the Rule of Thumb bandwidth estimator and incorporating the standard deviations of returns to get historical volatility. There are two options: one for the original rule of thumb bandwidth estimator, and another for the modified rule of thumb estimator. This indicator comes with the bandwidth , which is shown...
In developing the "Likelihood of Winning - Probability Density Function (PDF)" indicator, my aim was to offer traders a statistical tool to quantify the probability of reaching target prices. This indicator, grounded in risk assessment principles, enables users to analyze potential outcomes based on the normal distribution, providing insights into market...
Library "NormalDistributionFunctions" The NormalDistributionFunctions library encompasses a comprehensive suite of statistical tools for financial market analysis. It provides functions to calculate essential statistical measures such as mean, standard deviation, skewness, and kurtosis, alongside advanced functionalities for computing the probability density...
Library "ApproximateGaussianSmoothing" This library provides a novel smoothing function for time-series data, serving as an alternative to SMA and EMA. Additionally, it provides some statistical processing, using moving averages as expected values in statistics. 'Approximate Gaussian Smoothing' (AGS) is designed to apply weights to time-series data that closely...
What are Bandwidth Bands? This indicator uses Silverman Rule of Thumb Bandwidth to estimate the width of bands around the rolling moving average which takes in the log transformation of price to remove most of price skewness for the rest of the volatility calculations and then a exp() function is performed to convert it back to a right skewed distribution. These...
Overview The Dynamic Momentum Gauge is an indicator designed to provide information and insights into the trend and momentum of a financial asset. While this indicator is not directional , it helps you know when there will be a trend, big move, or when momentum will have a run, and when you should take profits. How It Works This indicator calculates...
█ Overview The Optimal Buy Day (Zeiierman) indicator identifies optimal buying days based on historical price data, starting from a user-defined year. It simulates investing a fixed initial capital and making regular monthly contributions. The unique aspect of this indicator involves comparing systematic investment on specific days of the month against a...