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.github/workflows/docker-multiarch.yml

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@@ -28,7 +28,7 @@ jobs:
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- name: build amd64
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run: DOCKER_BUILDKIT=0 docker build . -f dev/quantflow.dockerfile -t ghcr.io/quantmind/${{ inputs.image-name }}:${{ github.sha }}-amd64
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- name: push amd64
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run: docker push ghcr.io/quantmind/${{ inputs.image-name }}:${{ github.sha }}-amd64
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run: docker push ghcr.io/quantmind/${{ inputs.image-name }}:main-${{ github.sha }}-amd64
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build-arm64:
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runs-on: ubuntu-24.04-arm
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curl -L https://raw.githubusercontent.com/quantmind/rops/main/dev/install-rops | bash
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echo "$HOME/bin" >> $GITHUB_PATH
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- name: build arm64
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run: DOCKER_BUILDKIT=0 docker build . -f dev/quantflow.dockerfile -t ghcr.io/quantmind/${{ inputs.image-name }}:${{ github.sha }}-arm64
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run: DOCKER_BUILDKIT=0 docker build . -f dev/quantflow.dockerfile -t ghcr.io/quantmind/${{ inputs.image-name }}:main-${{ github.sha }}-arm64
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- name: push arm64
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run: docker push ghcr.io/quantmind/${{ inputs.image-name }}:${{ github.sha }}-arm64
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run: docker push ghcr.io/quantmind/${{ inputs.image-name }}:main-${{ github.sha }}-arm64
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manifest:
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needs: [build-amd64, build-arm64]

app/hurst.py

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@@ -133,7 +133,7 @@ def _(mo):
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* **Garman & Klass** (1980)
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* **Rogers & Satchell** (1991)
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See {cite:p}`molnar` for a detailed overview of the properties of range-based estimators.
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See [molnar](/bibliography/#molnar) for a detailed overview of the properties of range-based estimators.
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For this we build an OHLC estimator as template and use it to create OHLC estimators for different periods.
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""")

docs/bibliography.md

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# Bibliography
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### molnar
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Peter Molnar. Volatility modeling and forecasting: utilization of realized volatility, implied volatility and the highest and lowest price of the day. Master's thesis, University of Economics in Prague, 2020. URL: https://drive.google.com/file/d/1zCU1OZyrKQLpxaypPv9U5UPbReBDXcMf/view.

mkdocs.yml

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schema: false
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nav:
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- Home: index.md
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- Contributing: contributing.md
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- Examples:
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- Gaussian Sampling: examples/gaussian-sampling
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- Hurst: examples/hurst
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- Supersmoother: examples/supersmoother
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- API Reference:
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- api/index.md
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- Bins: api/utils/bins.md
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- Distributions: api/utils/distributions.md
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- Marginal 1D: api/utils/marginal1d.md
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- Contributing: contributing.md
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- Bibliography: bibliography.md
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markdown_extensions:
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- tables
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- pymdownx.arithmatex:

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