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MCarloRisk3D

Price/probability estimator

Разработчик: differential enterprises
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Don't just multiply volatility by root(t), do a monte carlo study and cover the extreme bases. Give the symbol-pushers a run for their money. Can your equation throw in random, out of the ordinary shocks of different magnitude and probability? Well, this app can. MCarloRisk3D: with 3D viewing options for better understanding of the estimated probability surface.
Now with price data feeds for the highest market cap crypto coins: BTC, Ethereum, Ripple, Litecoin, ADA, EOS, BitcoinCash.
Stock price risk analyzer app for the common man. Now with optional Black Swan events and tunable forward volatility.
Estimates future price distribution using random walk theory.

Background discussion: E. Fama article on early random walk studies from the 1960's:

 http://www.ifa.com/Media/Images/PDF%20files/FamaRandomWalk.pdf


New model calibration tutorial:

 http://diffent.com/tuning1.pdf


Example use case & training guide for studying "AAPL to $320" can be found at:

 http://diffent.com/AAPL320arialP.pdf


The app uses prior data from the stock in question for volatility estimates. 

User can control how far back in time to use historical data to capture only the current "epoch" of a company or of the market as a whole if desired.

Built-in backtesting, verification, and model tuning tools.


-- Details --


This app models daily stock returns as a stable stochastic process and estimates a future price distribution by Monte Carlo re-sampling from an "empirical distribution" of a user-specified subset of prior (known) daily returns. 

Be sure to press the Run Monte button on the Monte Carlo tab after changing settings or downloading a new data set. 

This app downloads historical data from Google Finance as base data to resample. Prices are converted to daily returns [P(t)/P(t-1)] before resampling. The user can choose how far back to resample. By estimating a probability distribution of future prices at the user-specified investment horizon in this manner, we can give risk-of-loss estimates in thumb-rule fashion. 

Reports out estimated price and %loss estimates at the commonly used levels of 1st percentile and 5th percentile (1% and 5% risk). Also reports out median (50th percentile) price estimates at the given number of days forward. Calculations are performed on daily Closing price data. An artificial shock filter is provided, which can be used to reject the resampling of prior returns that are artificially large (due to splits or other artificial re-valuations that do not affect the underlying value of the asset).
The stochastic model may be tuned or calibrated only by adjusting the maximum number of days backwards to sample or adjusting the black swan parameters.
Model Validation features:


On the Monte Carlo tab, you can withhold any number of recent days from the model and then plot the results of the stochastic risk forecast as lower-bound envelopes at 1% and %5 estimated probability (risk) levels. 


Validate tab:


This allows you to perform an exhaustive validation on your model by withholding several points, computing the model, comparing the forward prediction of the model versus the actual reserved data, and repeating this in increasing time sequence for all withheld points.


A vertical "Cursor Beam" is provided that you can drag across the new plots in the Monte Carlo tab and the Validate tab to show the plotted values from several curves at once, with the values color-coded to the curves.


Show the full price probability plot linked to the days-forward setting of the Monte Carlo graph. This is a slice thru the probability surface generated by the Monte Carlo procedure.

The app provider makes no claims as to the suitability of this app for any purpose whatsoever, and the user should consult an investment advisor before making investment decisions.
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MCarloRisk3D Частые Вопросы

  • Приложение MCarloRisk3D бесплатное?

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  • Является ли MCarloRisk3D фейковым или мошенническим?

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  • Сколько стоит MCarloRisk3D?

    Приложение MCarloRisk3D бесплатное.

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MCarloRisk3D Отзывы Пользователей

Issue with downloading symbol data

AJ_111 on

Гонконг (САР)

Download function for stock data no longer working - pls have a look. Also any way to download symbols for indices ? E.g. ^RUT which is available on yahoo finance but doesn't download on your app. Thx **** Thanks for your quick response! It's an interesting app for running first order MC approx. I noticed u used switched to Google Finance data (vs Yahoo originally). Is it possible to include currency pairs into available database downloads e.g. GBPUSD and perhaps even Bitcoin BTCUSD?

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MCarloRisk3D Установки

30дн.

-1

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MCarloRisk3D Доход

30дн.

$-1

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MCarloRisk3D Доходы и Загрузки

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Информация о приложении

Категория
Finance
Разработчик
differential enterprises
Языки
English
Последнее обновление
17.0 (1 месяц назад )
Выпущено
May 3, 2013 (11 лет назад )
Также доступно в
Италия, Гонконг (САР), Китай, Польша, Республика Корея, Кувейт, Ливан, Мексика, Малайзия, Нигерия, Нидерланды, Норвегия, Новая Зеландия, Филиппины, Пакистан, Индия, Португалия, Румыния, Россия, Саудовская Аравия, Швеция, Сингапур, Таиланд, Турция, Украина, Соединенные Штаты, Вьетнам, Южно-Африканская Республика, Доминиканская Республика, Аргентина, Австралия, Азербайджан, Бельгия, Бразилия, Беларусь, Канада, Швейцария, Чили, Колумбия, Германия, Дания, Япония, Эквадор, Испания, Финляндия, Франция, Великобритания, Греция, Венгрия, Индонезия, Ирландия, Израиль, ОАЭ
Обновлено
3 недели назад
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