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...
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...
Happy Trade, here you get the opportunity to backtest any of your indicators like a strategy without converting them into a strategy. You can choose to go long or go short and detailed time filters. Further more you can set the take profit and stop loss, initial capital, quantity per trade and set the exchange fees. You get an overall result table and even a...
█ Overview The Day/Week/Month Metrics (Zeiierman) indicator is a powerful tool for traders looking to incorporate historical performance into their trading strategy. It computes statistical metrics related to the performance of a trading instrument on different time scales: daily, weekly, and monthly. Breaking down the performance into daily, weekly, and...
The Stablecoin Dominance tool displays the evolution of the relative supply dominance of major stablecoins such as USDT, USDC, BUSD, DAI, and TUSD. Users can disable supported stablecoins to only show the supply dominance relative to the ones enabled. 🔶 USAGE The stablecoin space is subject to constant change due to new arriving stablecoins, regulation,...
This fundamental indicator shows the latest figures for the selected ticker (assuming they are published in Factset) The relevant metrics include: - Cash and Equivalents - EBIT - EBITDA - EBITDA Margin - Enterprise Value EBID - Enterprise Value EBITDA - Free Cash Flow - Net Debt - Net Income Starting Line - Total Current Assets - Total Liabilities - Total...
Track the address status of the various cryptoassets and their evolution. The Idea The goal is to provide a simple tool for visualizing the evolution of different types of crypto addresses. How to Use This tool is to be used as fundamental information. It is not intended for investment or trading purposes. Elements Active Addresses Active Addresses...
The Open Interest Inflows & Outflows indicator focuses on highlighting alterations in the overall count of active contracts associated with a specific financial instrument. The indicator also includes an oscillator highlighting the price sentiment to use in conjunction with the open interest flow sentiment and also includes a rolling correlation of the open...
This indicator is a simple tracker for exceptional movement. It compares the range of the latest candle with the average daily range of the past 20 candles. The option for the multiplier defines how big the current movement should be to be defined as exceptional movement.
In my 'Volatility Adjusted Profit Target' indicator, I've crafted a dynamic tool for calculating target profit percentages suitable for both long and short trading strategies. It evaluates the highest and lowest prices over the anticipated duration of your trade, establishing a profit target that shifts with market volatility. As volatility increases, the...
This indicator calculates the probability of the closing price remaining within the upper and lower bounds defined by the mean and standard deviation of historical percent changes. It also plots the probability line and a horizontal line at 68%, which would be the expected probability for a normal distribution. It is designed to be used with my other indicator...
This script offers a overview of Year-over-Year (YoY) interest rates for key countries. The interest rate data utilized by default are sourced from TradingView Tickers, but they can be modified to any preferred source via the settings. The script does not perform any calculations; its primary function is to present a comparative view of interest rates across...
Description: Calculates the mean and standard deviation of close-to-close price differences over a specified period, providing insights into price volatility and potential breakouts. Manually calculates mean and standard deviation for a deeper understanding of statistical concepts. Plots the mean line, upper bound (mean + standard deviation), and lower bound...
In finance, the yield curve is a graph which depicts how the yields on debt instruments – such as bonds – vary as a function of their years remaining to maturity. The graph's horizontal or x-axis is a time line of months and years remaining to maturity, with the shortest maturity on the left and progressively longer time periods on the right. The vertical or...
ORIGINS AND HISTORICAL BACKGROUND: Prior to the the advent of the Monte Carlo method, examining well-understood deterministic problems via simulation generally utilized statistical sampling to gauge uncertainty estimations. The Monte Carlo (MC) approach inverts this paradigm by modeling with probabilistic metaheuristics to address deterministic problems....