Measuring correlations based on log returns, rather than raw prices or simple returns, offers several advantages: - stationarity: Log returns are more stationary, resulting in more meaningful and reliable results - volatility: Log returns give a consistent measure of relative changes of assets with different volatility Log returns are time-additive and often...
K's Reversal Indicator III is based on the concept of autocorrelation of returns. The main theory is that extreme autocorrelation (trending) that coincide with a technical signals such as one from the RSI, may result in a powerful short-term signal that can be exploited. The indicator is calculated as follows: 1. Calculate the price differential (returns) as the...
The Position Cost Distribution indicator (also known as the Market Position Overview, Chip Distribution, or CYQ Algorithm) provides an estimate of how shares are distributed across different price levels. Visually, it resembles the Volume Profile indicator, though they rely on distinct computational approaches. 🟠 Principle The Position Cost Distribution...
Sector analysis is an assessment of the economic and financial condition and prospects of a given sector of the economy. Sector analysis serves to provide an investor with a judgment about how well companies in the sector are expected to perform. Sector analysis is typically employed by investors who specialize in a particular sector, or who use a top-down or...
Financial statement analysis is the process of analyzing a company’s financial statements for decision-making purposes. External stakeholders use it to understand the overall health of an organization and to evaluate financial performance and business value. Internal constituents use it as a monitoring tool for managing the finances. Most often, analysts will...
Comparable company analysis, or “Comps” for short, is commonly used to value firms by comparing them to publicly traded companies with similar business operations. An analyst will compare the current share price a public company relative to some metric such as its earnings to derive a P/E ratio. It will then use that ratio to value the company it is trying to...
Valuation is the analytical process of determining the current (or projected) worth of an asset or a company. There are many techniques used for doing a valuation. An analyst placing a value on a company looks at the business's management, the composition of its capital structure, the prospect of future earnings, and the market value of its assets, among other...
Median of Means (MoM) is a measure of central tendency like mean (average) and median. However, it could be a better and robust estimator of central tendency when the data is not normal, asymmetric, have fat tails (like stock price data) and have outliers. The MoM can be used as a robust trend following tool and in other derived indicators. Median of means (MoM)...
This is the Cumulative Distribution of a Dataset indicator that also calculates the Kurtosis and Skewness for a selected dataset and determines the normality and distribution type. What it does, in pragmatic terms? In the most simplest terms, it calculates the cumulative distribution function (or CDF) of user-defined dataset. The cumulative distribution...
Hey there! I've been diving into the book "Paul Wilmott on Quantitative Finance," and I stumbled upon this cool model for calculating and modeling returns. Basically, it helps us figure out how much a price has changed over a set number of periods—I like to use 20 periods as a default. Once we get that rate of change value, we crunch some numbers to find the...
PNR filter uses the "percentile nearest rank" method to produce signals from any source including oscillator indicators and price bars. Features: * Length - how many candles back in time to use for calculating PNR * % low and high - what range of the spread of values captured will form the PNR band. Use 99&100 to create a band on the 1% highest percentile or 0&1...
Signal to Noise Ratio The Signal to Noise Ratio or SNR is used to assess the quality of information or data by comparing the strength of a useful signal to the presence of background noise or random variations. In Finance the SNR refers to the ratio of strength of a trading signal to the background noise. A high SNR suggest a clear and reliable signal, meanwhile...
The "Percentile Based Trend Strength" (PBTS) calculates trend strength based on percentile values of high and low prices for various length periods and then identifies the current trend as either Bullish, Bearish, or N/A (No Trend). Here's a step-by-step explanation of the code: Percentile Calculations: For each specified length period (13, 21, 34, 55, 89, and...
Overview This is a Z-Scored Momentum Indicator. It allows you to understand the volatility of a financial instrument. This indicator calculates and displays the momentum of z-score returns expected value which can be used for finding the regime or for trading inefficiencies. Indicator Purpose: The primary purpose of the "Z-Score Momentum" indicator is to help...
Paytience Distribution Indicator User Guide Overview: The Paytience Distribution indicator is designed to visualize the distribution of any chosen data source. By default, it visualizes the distribution of a built-in Relative Strength Index (RSI). This guide provides details on its functionality and settings. Distribution Explanation: A distribution in...
Bursa Malaysia Index Series. The index computation is as follows:- Current aggregate Market Capitalisation/Base Aggregate Market Capitalisation x 100. The Bursa Malaysia Index Series is calculated and disseminated on a real-time basis at 60-second intervals during Bursa’s trading hours.
This indicator is an overlay for your main chart. It will display your trade entry and trade close positions on your chart. After you place the indicator on you shart you will need to enter the trade information that you want to display. You can open thte input setting by clicking on the gear sprocket that appears when you hover your mouse over the indicator...
The indicator "Z-Score Based Momentum Zones with Advanced Volatility Channels" combines various technical analysis components, including volatility, price changes, and volume correction, to calculate Z-Scores and determine momentum zones and provide a visual representation of price movements and volatility based on multi timeframe highest high and lowest low...