Hidden Markov specialist

Goal: This system will be used to trade commodity futures in the global financial markets.

Programming Language: MATLAB

Data: High Frequency, Intraday and Daily price and trade volume available.

Existing infrastructure: Hierarchical Hidden Markov Model system is built called system below. Code will be released upon Non Disclosure Agreement execution.

Requirements (per HHMM Requirements):

1. Develop code in Matlab below feature extraction for price/ volume data pre-processing AND CONNECT TO EXISTING SYSTEM so that the EXISTING system sees discrete values as illustrated in Table 1. Full article attached in word document and here named rs_technical_trading....

2. Produce the below two graphs every time the code is run. Note, both price and volume graphs

3. Produce a vector that indicates n+1 (n is history up to today inclusive, n+1 is tomorrows market open) prediction for historical data plus tomorrows market state:
a. bull: buy
b. bear: sell
c. stagnant: do nothing
About the recuiter
Member since Mar 14, 2020
Selma Hill
from Liaoning Sheng, China

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