A Program to be Created to incorporate ML and NN on Currency Chart Patterns
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- Proposals: 2
- Remote
- #1462349
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Description
Experience Level: Expert
General information for the business: Finance
Description of requirements/functionality: After data is scraped from Sierra Charts, our new program should do this:
1) I open a saved 'user generated profile' or begin a new one.
2) I construct a series of a 'trades' on multiple timeframe training data, expressed with 3 boxes per trade, A B and C. These are identified by the program using time. Most recent is B, least is C, middle is A.
3) Upon export the data is mined from these boxes in OHLC format, then forwarded to releveant machine learning algos.
4) Once analysis is complete, a 'machine generated profile' is created. The program translates it's OHLC results onto graphical test data of the same timeframes as the input, in rectangles of the same order, ABC etc etc.
5) Then I am able to open the original user generated profile, edit, and save as a new one, and plug back in to learn. This way in theory I will also be able to run multiple studies in parllalel in the future.
Extra notes:
Description of requirements/functionality: After data is scraped from Sierra Charts, our new program should do this:
1) I open a saved 'user generated profile' or begin a new one.
2) I construct a series of a 'trades' on multiple timeframe training data, expressed with 3 boxes per trade, A B and C. These are identified by the program using time. Most recent is B, least is C, middle is A.
3) Upon export the data is mined from these boxes in OHLC format, then forwarded to releveant machine learning algos.
4) Once analysis is complete, a 'machine generated profile' is created. The program translates it's OHLC results onto graphical test data of the same timeframes as the input, in rectangles of the same order, ABC etc etc.
5) Then I am able to open the original user generated profile, edit, and save as a new one, and plug back in to learn. This way in theory I will also be able to run multiple studies in parllalel in the future.
Extra notes:
Sim J.
100% (8)Projects Completed
8
Freelancers worked with
8
Projects awarded
24%
Last project
13 Jul 2017
United Kingdom
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