caerus

Unverified Other strategy on Indices by erdogant. BotFinder score 18 out of 100.

Detection of favorable moments in time series data

Source: github

Explorer/Indices/caerus
18
Data index
IndicesMedium risk⚠ Unverified

caerus

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Track record
6.8y
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About

caerus

caerus caerus is Python package to compute the local-minima with the corresponding local-maxima within the given time-frame. This approach is designed to for stock-market valley and peak detection. Here are just a few of the things that caerus does well: - Ouput contains detected start-stop regions of local minima and maxima. - Figures are created. - Parameter gridsearch. - Designed for the detection of complex trend movements. ⭐️ Star this repo if you like it ⭐️ Install caerus from PyPI Import caerus package Documentation pages On the documentation pages you can find detailed information about the working of the caerus with examples. Examples Example: Detect peak and valleys in Bitcoin Example: Detect peak and valleys in Facebook Example: Gridsearch Support This project needs some love! ❤️ Contribute to this project by feature requests, idea discussions, reporting bugs, opening pull requests, or through Github Sponsors. Your help is highly appreciated. If you wish to buy me a Coffee for this work, it is very appreciated :) Maintainers Erdogan Taskesen, github: erdogant

PythonOpen-sourceoptimization-algorithmspeak-analysispeak-detectionpythonstock-datatime-seriestime-series-analysistrading
Track record

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

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Data unavailable — contact the owner.

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Verification ledger

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

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Source
erdogant
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
Stars36
Forks5
Open issues2
LanguagePython
License—
Last update2025-08-30
Created2019-12-25
Website
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