MONTECARLO

KioseffTrading Wizard

Hello! This script "Monte Carlo (Polyline Traceback) " performs a Monte Carlo simulation using polylines! By using polylines, and tracing back the initial simulation to its origin point, we can better replicate the ideal output of a Monte Carlo simulation! Such as: The image above shows the output of a simulation (image sourced outside TV). With this...

LuxAlgo Wizard

The Anchored Monte Carlo Shuffled Projection tool randomly simulates future price points based on historical bar movements made before a user-anchored point in time. By anchoring our data and projections to a single point in time, users can better understand and reflect on how the price played out while taking into consideration our random simulations. 🔶 USAGE...

LuxAlgo Wizard

The Monte Carlo Shuffled Projection tool randomly simulates future price points based on historical bar movements made within a user-selected window. The tool shows potential paths price might take in the future, as well as highlighting potential support/resistance levels. Note that simulations and their resulting elements are subject to slight changes over...

KioseffTrading Wizard Updated 

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...

RicardoSantos Wizard Updated 

Library "FunctionBlackScholes" Some methods for the Black Scholes Options Model, which demonstrates several approaches to the valuation of a European call. // reference: // people.math.sc.edu // people.math.sc.edu asset_path(s0, mu, sigma, t1, n) Simulates the behavior of an asset price over time.   Parameters:      s0 : float, asset price at...

RicardoSantos Wizard Updated 

Library "FunctionSMCMC" Methods to implement Markov Chain Monte Carlo Simulation (MCMC) markov_chain(weights, actions, target_path, position, last_value) a basic implementation of the markov chain algorithm   Parameters:      weights : float array, weights of the Markov Chain.      actions : float array, actions of the Markov Chain.      target_path : float...

DojiEmoji Updated 

Inspired by the Brownian Motion ("BM") model that could be applied to conducting Monte Carlo Simulations, this indicator plots out the Drift factor contributing to BM. Interpretation : If the Drift value is positive, then prices are possibly moving in an uptrend. Vice versa for negative drifts.

RicardoSantos Wizard

Example function of a markov chain monte carlo simulation.

DonovanWall Wizard Updated 

This is an experimental study designed to forecast the range of price movement from a specified starting point using a Monte Carlo simulation. Monte Carlo experiments are a broad class of computational algorithms that utilize random sampling to derive real world numerical results. These types of algorithms have a number of applications in numerous fields of study...

LonesomeTheBlue Wizard Updated 

Hello All, Monte Carlo Simulation is a model used to predict the probability of different outcomes when the intervention of random variables is present. it is used by professionals in such widely disparate fields as finance, project management etc. You can find many articles about Monte Carlo Simulation on the net. In this script I tried to make Monte Carlo...

RicardoSantos Wizard Updated 

Experimental: Example execution of Monte Carlo Simulation applied to the markets(this is my interpretation of the algo so inconsistencys may appear). note: the algorithm is very demanding so performance is limited.