HighFrequency

Unverified ML strategy on Indices by rune-l. BotFinder score 18 out of 100.

High Frequency Jump Prediction Project

Source: github

Explorer/Indices/HighFrequency
18
Data index
IndicesMLMedium risk⚠ Unverified

HighFrequency

rune-lGitHub
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Track record
7.1y
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About

HighFrequency

High-Frequency econometrics jump prediction project. This project is about high-frequency jump-prediction using neural network predictors. The methods use a micro-structure noise correction to the Lee-Mykland (2008) test in order to make micro jump predictions at 30sec, 1min and 5min intervals.

PythonOpen-sourceattentionconvolutional-neural-networkdeep-learninghigh-frequencyhigh-frequency-tradingjump-predictionlstmstock-jump-prediction
Track record

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

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Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
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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

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Source
rune-l
Since 2020 · 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
Stars37
Forks15
Open issues0
LanguagePython
License—
Last update2020-06-01
Created2019-09-11
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HighFrequency by rune-l — Unverified | BotFinder