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Reformat timeline elements

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Andras Schmelczer 2022-09-24 22:19:59 +02:00
parent af45688029
commit aab4cade5e
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17 changed files with 201 additions and 336 deletions
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28
src/data/projects/forex.ts
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@ -1,33 +1,25 @@
import { Video } from '../../page/basics/video/video';
import { TimelineElementParameters } from '../../page/timeline/timeline-element/timeline-element-parameters';
import { Video } from '../../page/video/video';
import forexPoster from '../media/forex.jpg';
import forexMp4 from '../media/mp4/forex.mp4';
import forexWebM from '../media/webm/forex.webm';
import { videoPosterAltText } from '../shared';
export const forexTimelineElement: TimelineElementParameters = {
title: `Predicting foreign exchange rates`,
date: `2019 autumn`,
export const forex: TimelineElementParameters = {
title: 'Predicting foreign exchange rates',
date: '2019 autumn',
figure: new Video({
poster: forexPoster,
mp4: forexMp4,
webm: forexWebM,
invertButton: true,
altText: videoPosterAltText,
}),
description: `
From the animation, we can see that my implementation does a somewhat acceptable job at
predicting (blue graph) the EUR/USD rates (green graph).
`,
description:
'From the animation, we can see that my implementation does a somewhat acceptable job at predicting (blue graph) the EUR/USD rates (green graph).',
more: [
`
In a nutshell, the algorithm (written in Python using NumPy, SciPy, and Flask)
predicts in the frequency domain. The steps are the following: smoothing the input values,
differentiating, applying a short-time Fourier-transformation with overlapped (and Hanning-windowed) windows,
extrapolating and then applying the inverse of these transformations to the resulting values.
`,
`
Of course, there is still plenty of room for improvement, but even with this simple algorithm
a mostly profitable trading strategy is viable. In my free time I may put more work into it.
`,
'In a nutshell, the algorithm (written in Python using NumPy, SciPy, and Flask) predicts in the frequency domain. The steps are the following: smoothing the input values, differentiating, applying a short-time Fourier-transformation with overlapped (and Hanning-windowed) windows, extrapolating and then applying the inverse of these transformations to the resulting values.',
'Of course, there is still plenty of room for improvement, but even with this simple algorithm a mostly profitable trading strategy is viable. In my free time I may put more work into it.',
],
links: [],
};