# I'm looking for developer on thinkorswim and python

Опубликован 2 мес. назад Оплачивается при доставке
Оплачивается при доставке

I’m using the THINKORSWIM (TOS) Exponen<al Standard Devia<on (ESD) Bands as part of a

strategy and am trying to replicate in PYTHON using the HULL moving average type. In the past

we have not been able to replicate the hull moving average in Python that mimics the TOS

strategy.

I need to be able to run both a TOS and PYTHON in parallel that give me the same results. I

need to be able to change the variables (lookback and standard devia<on) for both and s<ll get

the same results.

My first choice would be to get PYTHON code that replicates the TOS code.

My second choice would be to get PYTHON and TOS code that match the results and are very

close to the original code.

TOS CODE:

Exponen<al Standard Devia<on (ESD)

input length = 20;

input numDevDn = -2.0;

input numDevUp = 2.0;

input averageType = [login to view URL];

def avg = MovingAverage(averageType, close);

def expDev = ExpAverage(AbsValue(avg - close), length);

plot UpperBand = avg + numDevUp * expDev;

plot MidLine = avg;

plot LowerBand = avg + numDevDn * expDev;

ExpAverage

ExpAverage ( IDataHolder data, int length);

Default values:

length: 12

Descrip<on

Returns the exponen<al moving average (EMA) of data with length.

The formula for the calcula<on of the exponen<al moving average is recursively defined as

follows:

EMA1 = price1;

EMA2 = α*price2 + (1 - α)*EMA1;

EMA3 = α*price3 + (1 - α)*EMA2;

EMAN = α*priceN + (1 - α)*EMAN-1;

where α is a smoothing coefficient equal to 2/(length + 1).

Note that in thinkScript®, exponen<al moving averages use prefetch, see the Past Offset and

Prefetch ar<cle for details.

Input parameters

Parameter Default value Descrip1on

data - Defines data for which the average is found.

length 12 Defines period on which the average is found.

Example

input price = close;

input length = 12;

plot ExpAvg = ExpAverage(price, length);

The example plots an exponen<al moving average of a security's Close price.

MovingAverage

MovingAverage ( int averageType, IDataHolder data, int length);

Default values:

averageType: [login to view URL]: 12

Descrip<on

Returns the average value of specified type and length for a data set. Available average types

are: Simple, Exponen<al, Weighted, Wilder's, and Hull. Each type can be defined

using AverageType constants.

Input parameters

Parameter Default value Descrip1on

averageType [login to view URL] Defines type of average to be applied. This parameter

accepts AverageType constants as value.

data - Defines data for which the average is found.

length 12 Defines period on which the average value is found.

Example

input price = [login to view URL];

input aggrega<onPeriod = Aggrega<[login to view URL];

input length = 12;

input averageType = [login to view URL];

plot MovAvg = MovingAverage(averageType, Fundamental(price, period = aggrega<onPeriod),

length);

This example script plots a moving average of specified type and length for specified fundamental data.

ID проекта: #37200399

### О проекте

17 заявок(-ки) Удаленный проект Последняя активность 1 месяц назад

## 17 фрилансеров(-а) готовы выполнить эту работу в среднем за \$187

sonus21

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simonklemp

Hello Isaac, I hope this message finds you well. I will be able to help you with your project. I read through the description and it sounds like I am just the right person for it. I have the right skil Больше

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AmazingEngr76386

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5.7
dvcontact

Dear Sir, Are you looking for a reliable solution to replicate the THINKORSWIM (TOS) Exponential Standard Deviation (ESD) Bands in Python using the HULL moving average type? I have the necessary skillset to complete t Больше

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5.8

Having read your project requirements and all the details, I’m super-confident in my skill-set, experience, and technical ability (especially with think script for Thinkorswim platform) to develop this trading tool as Больше

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4.8
devendrathakur12

I can help you replicate Thinkorswim's Exponential Standard Deviation Bands using the Hull moving average in Python. Ensuring parallel results with adjustable variables is my goal. Let's start by mimicking the Thinkors Больше

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LazarS23

Hello Isaac B., It seems like a very fit work for me. I have done exactly the same work 2 months before. I have a plenty of experience on Python. Please come over chat and discuss your requirement in a detailed way Больше

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3.0
GameOfWords

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karinalulka

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markopajkovic199

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HanseGult

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danielfahey1981

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Arka47x

You're seeking to replicate the THINKORSWIM (TOS) Exponential Standard Deviation (ESD) Bands strategy using the HULL moving average type in Python. The goal is to ensure that both TOS and Python implementations produce Больше

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techindia999

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