Hello! This script “Monte Carlo Simulation - Your Strategy” uses Monte Carlo simulations for your inputted strategy returns or the asset on your chart! Features Monte Carlo Simulation: Performs Monte Carlo simulation to generate multiple future paths. Asset Price or Strategy: Can simulate either future asset prices based on historical log returns or a...
Xeeder - US Government Bonds Analysis (USBA) The "Xeeder - US Government Bonds Analysis" (USBA) is a comprehensive tool designed to assist traders in analyzing the spread, historical volatility, and correlation between two different U.S. Government Bonds. This indicator is crucial for understanding the relative performance and risk factors between two bond...
Seasonal trend in terms of stocks refers to typical and recurring patterns in stock prices that happen at a specific time of the year. There are many theories and beliefs regarding seasonal trends in the financial markets, and some traders use these patterns to guide their investment decisions. This indicator calculates the trend by "Daily" logarithmic returns of...
This is SPTS. It stands for Statistical Package for the Trading Sciences. Its a play on SPSS (Statistical Package for the Social Sciences) by IBM (software that, prior to Pinescript, I would use on a daily basis for trading). Let's preface this indicator first: This isn't so much an indicator as it is a project. A passion project really. This has been in...
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...
Library "WIPFunctionLyaponov" Lyapunov exponents are mathematical measures used to describe the behavior of a system over time. They are named after Russian mathematician Alexei Lyapunov, who first introduced the concept in the late 19th century. The exponent is defined as the rate at which a particular function or variable changes over time, and can be...
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...
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...
Concept behind this Strategy : Considering a normal "buy/sell" situation, an asset would be bought in average at the median price following a Gaussian like concept. A higher or lower average trend would significate that the current perceived value is respectively higher or lower than the current median price, which mean that the buyers are evaluating the price...
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...