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Stock Market Multitask - Multiusers iOS App -- 2

Job Description:

Stock Market Multitask - Multi-users iOS App

STAGE 1: Price Prediction Based on Previous Days Values

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Will be an iOS for 5 users.

Using historical data from previous dates, from Yahoo Finance, predict the next 5 DAYS Max/Min value of any "Stock Symbol" ("SS").

There will be a list of "SS" of interest for each user. You have to provide predictions for all of them.

Samples values for some "SS" of interest are in pictures A, B, C & D. Values shown are Minimum, Maximum & Closing:

- USD/MXN - $19.7192 / $19.8690 / $19.8042

Historical values can be found here:

- USD/MXN - [login to view URL]

STAGE 2: Handle yours, and another 5-7 predictions

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Along with your own predictions, there will another 5-7 prediction sources. You will need to be able to upload that predictions

Some predictions sources are paid and free websites I consult (like [login to view URL], [login to view URL], [login to view URL], etc) Should be able to “grab” next day Max/Min prediction data from websites right before the market closes, 5:45-5:50 PM CST

You have to know what prediction source has been more accurate in the last 5 days and suggest that will be the best source to consider. Will be changing according to daily results

All DATA have to be recorded in a database for EACH "SS" of interest for EACH user

- Date

- Forecast Min (Per source)

- Forecast Max (Per source)

- Actual Min

- Actual Max

- Closing Value

- Daily Graph (From Yahoo Finance)

Each symbol, will have different “market hours”. For example, USD/MXN is 6:00 PM to 6:00 PM the next day. Monday trough Friday, but the “Monday” starts on Sunday @ 6:00 PM

Any NASDAQ symbols, is 9:30 AM to 4:00 PM EST on weekdays

If you take the graph snapshot too early , it will be incomplete. Best time to do it is 5:45-5:50 PM CST

I need, daily graphs of previous day and be able to “Slide” the graphs as shown in [login to view URL]

Picture 03 & [login to view URL] shows "the day before" graph (RED rectangle) and "today’s" forecast (Info at the top of picture)

STAGE 3: Monitor "SS" prices and send alarms

=====================================================

With all prediction sources, calculate the flotation band per "SS", which is the difference between the Maximum and Minimum. (See Picture [login to view URL]). In this case, the flotation band was $0.45

Register time of peeks (Min & Max) within the top and bottom 15% of the flotation band. (Customizable per "SS") (Please see Picture [login to view URL]). 15% of $0.45 = $0.0675

When value goes inside the top/bottom 15% (customizable for each "SS") it’s a peek. Like in this graph (Picture [login to view URL]), there can be multiple peeks a day. You have to register the times at which the peeks occurred

Every time the value of any symbol enter in the top and bottom peek zone, a push notification AND an audible alarm have to show/sound in the iPhone advising what symbol is in a peek zone, and an audible alarm will sound EVEN if the iPhone is in vibrate mode

STAGE 4: Using APIs from 3-4 e-trade stock market companies, buy and sale stocks

================================================================================

Once the STAGE 3 is working well, the next stage will be, using APIs for multiple e-trade stock exchange platforms (like stock, penny stocks, cryptocurrency stocks, foreign currency stocks e-trade platforms, etc), as not all platforms allows trading ALL types of stocks, automatically trade (buy and sale) stocks base on the peeks as per STAGE 3

In order NOT to drain battery of iOS device, the core work can be done in a server/computer and iOS will have only dashboard and managing interface

***THIS PROJECT WILL BE DONE IN STAGES

***THIS IS NOT AN ALL OR NOTHING PROJECT. YOU CAN BID ON JUST ONE OR MORE STAGES.

***PLEASE PROVIDE TIME OF COMPLETION AND PRICE PER STAGE

Навыки: Ввод данных, Mobile App Development, iPhone, Анализ и обработка данных, Искусственный интеллект

О клиенте:
( 6 отзыв(-а, -ов) ) Laredo, United States

ID проекта: #35324155

30 фрилансеров(-а) готовы выполнить эту работу в среднем за $746

corpmember29

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6.9
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5.7
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