technical analysis stock screener

Completed Posted 1 year ago Paid on delivery
Completed Paid on delivery

technical analysis stock screener that use incremental calculation of indicators without reprocessing whole data. using git project to implement. knowledge of trading or technical analysis preferred

Python C Programming Node.js

Project ID: #33741617

About the project

11 proposals Remote project Active 1 year ago

Awarded to:

mudassar786mosu

Hello, I'm interested in the proposal. I already have a similar project where I built a Stock Scanner based on candlestick pattern, it is a web page from where we can select the candlestick pattern which we want then More

$140 USD in 7 days
(17 Reviews)
5.4

11 freelancers are bidding on average $148 for this job

datascientist90

I'm a senior Python & ML developer and owner & founder of Dedeoglu Dev Company. Kindly send me a message to get in touch with me, Thanks, Yusuf.

$140 USD in 7 days
(27 Reviews)
6.6
lescaeric

Hi I read your job description carefully and I am interested in this project. I have strong experience in this field for 5+ years. Also I can work full time for you now and can deliver good result on time. Please let More

$150 USD in 5 days
(23 Reviews)
6.2
Sarsed

Hi, Manager I am a profession developer with skills of python, C++, React, Node, etc. I will make you sure satisfied enough for this project. I can complete your project within a day. Looking forward for your response. More

$200 USD in 3 days
(12 Reviews)
3.2
shaileshg1234

Hello, I hope everything is okay with you. I read your description and understood that you want to create a stock screener for technical analysis, which is my expertise. I can do that very well. Let's talk about it and More

$140 USD in 7 days
(0 Reviews)
0.0
cryptostockfx88

Dear client I saw your requirements regarding to develop a stock screener for technical analysis using indicators by python or node js. I can develop this application ASAP based on your requirements. I developed a More

$30 USD in 1 day
(2 Reviews)
0.0