Stock-Market-Prediction

Unverified ML strategy on Indices by dksifoua. BotFinder score 18 out of 100.

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

Source: github

Explorer/Indices/Stock-Market-Prediction
18
Data index
IndicesMLMedium risk⚠ Unverified

Stock-Market-Prediction

dksifouaGitHub
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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
6.3y
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About

Stock-Market-Prediction

Stock Market Prediction Install packages Download data Example: References - Arévalo, A., Niño, J., Hernández, G. and Sandoval, J., 2020. High-Frequency Trading Strategy Based On Deep Neural Networks. - Zhou, X., Pan, Z., Hu, G., Tang, S. and Zhao, C., 2018. Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets. Mathematical Problems in Engineering, 2018, pp.1-11.

Jupyter NotebookApache-2.0Open-sourcebayesian-optimizationcomputational-financeconvolutional-neural-networksdecision-treesdeep-neural-networksdimension-reductiongaussian-processesgenerative-adversarial-network
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
dksifoua
Since 2021 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars21
Forks12
Open issues2
LanguageJupyter Notebook
LicenseApache-2.0
Last update2024-09-06
Created2020-07-13
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Stock-Market-Prediction by dksifoua — Unverified | BotFinder