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I need a python programmer with experience on Stock Market to develop a python script that calculate stock market signals and store it in a CSV

I need a python programmer with experience on Stock Market to develop a python script that calculate stock market signals and store it in a CSV file. All of these signs shown below based on lastprice you can get from Binance actual and historical data: [login to view URL] and / or [login to view URL]

The interval 5seconds

The algorithms of the signals can be found in the tradingview and you can add these signals in the graph and through the pine editor pick up the algorithm of how they are calculated. For instance: RSI signal

rsi_up =rma( max(change(close),0),14)

rsi_down = rma(-min(change(close),0),14)

rsi = rsi_down == 0 ? 100 : rsi_up == 0 ? 0 : 100 - (100/(1 + rsi_up /rsi_down))

and rsi [1] represents the value prior to the current. So, Always you need to calculate a signal[1] you need to refer to a prior series value.

RSI

RSI[1]

Stoch.K

Stoch.D

Stoch.K[1]

Stoch.D[1]

CCI20

CCI20[1]

ADX

ADX+DI

ADX-DI

ADX+DI[1]

ADX-DI[1]

AO

AO[1]

Mom

Mom[1]

[login to view URL]

[login to view URL]

[login to view URL]

Stoch.RSI.K

[login to view URL]

W.R

[login to view URL]

BBPower

[login to view URL]

UO

EMA10

close

SMA10

EMA20

SMA20

EMA30

SMA30

EMA50

SMA50

EMA100

SMA100

EMA200

SMA200

[login to view URL]

[login to view URL]

[login to view URL]

VWMA

[login to view URL]

HullMA9

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

And other values you can get from binance:

[login to view URL]

priceChange

priceChangePercent

weightedAvgPrice

prevClosePrice

lastPrice

lastQty

bidPrice

bidQty

askPrice

askQty

openPrice

highPrice

lowPrice

volume

quoteVolume

add this signals too

SMA9

SMA26

SMA52

A similar result will be attached to serve as a reference that the signals are being well calculated and payment for the project will only be performed if the values are the same or very close.

the csv that I attached contains all the above fields minus SMA9, SMA26 and SMA52

RSI

RSI[1]

Stoch.K

Stoch.D

Stoch.K[1]

Stoch.D[1]

CCI20

CCI20[1]

ADX

ADX+DI

ADX-DI

ADX+DI[1]

ADX-DI[1]

AO

AO[1]

Mom

Mom[1]

[login to view URL]

[login to view URL]

[login to view URL]

Stoch.RSI.K

[login to view URL]

W.R

[login to view URL]

BBPower

[login to view URL]

UO

EMA10

close

SMA10

EMA20

SMA20

EMA30

SMA30

EMA50

SMA50

EMA100

SMA100

EMA200

SMA200

[login to view URL]

[login to view URL]

[login to view URL]

VWMA

[login to view URL]

HullMA9

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL]

priceChange

priceChangePercent

weightedAvgPrice

prevClosePrice

lastPrice

lastQty

bidPrice

bidQty

askPrice

askQty

openPrice

highPrice

lowPrice

volume

quoteVolume

SMA9

SMA26

SMA52

Квалификация: Matlab and Mathematica, NumPy, Python

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О работодателе:
( 3 отзыв(-а, -ов) ) Orlando, United States

ID проекта: #20073702

30 фрилансеров(-а) в среднем готовы выполнить эту работу за $442

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