FIR & IIR Filters in Stock Market Analysis

Geschlossen Veröffentlicht Apr 22, 2015 Bezahlt bei Lieferung
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This assignment is going to examine how digital filtering techniques can be applied to stock

market analysis. To start with, a simple moving average (SMA) filter will be designed and

applied to the closing prices of different companies (based on your student number).

Secondly a more complex exponential moving average (EMA) filter will be developed and

compared to the SMA.

Elektrotechnik Matlab und Mathematica

Projekt-ID: #7529976

Über das Projekt

6 Vorschläge Remote Projekt Aktiv May 29, 2015

6 Freelancer bieten im Durchschnitt $21/Stunde für diesen Job

cugamelover

I have a PhD degree in theoretical and computational physics and a strong background in math, including financial models. I've completed several financial math projects, please see the reviews on my profile. It would b Mehr

$20 AUD / Stunde
(54 Bewertungen)
5.8
ognjen011

A proposal has not yet been provided

$21 AUD / Stunde
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5.9
iapp2007

We an university team and deal with signal processing more than 30 years. At the very first stage we'll prepare all matlab code for the task solution and correspondent graphic draws

$20 AUD / Stunde
(1 Bewertung)
2.1
imagepresslib6

Hi sir. Thank you for your post. As being an manager has an Filter design expert with matlab, i am very interesting in your project. We have gained enough experiences in designing Digital Filter and analyzing its c Mehr

$22 AUD / Stunde
(1 Bewertung)
1.8
aravindev

I am an engineer and have already worked with moving average functions. I can get this done for you very fast

$18 AUD / Stunde
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0.0
timomey

Bis jetzt wurde noch kein Vorschlag eingegeben

$22 AUD / Stunde
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emmanuelum

Aucune proposition n'a encore été fournie.

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zjg02016891

Im a electrical engineering especially signal processing expert. I have a experience of airborn radar signal processing reserching and various adaptive filters using for increasing signal-to-noise ratio. I can do you Mehr

$16 AUD / Stunde
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0.0