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Restructured from flat .tex/.pdf files into per-paper subdirectories. Added Antje Worring as co-author on all papers. Synced PDFs to pdfs/ for download site.
53 lines
1.2 KiB
TeX
53 lines
1.2 KiB
TeX
\section{Performance Metrics}
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\subsection{Trading Volume Analysis}
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Platform performance metrics demonstrate significant traction:
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\begin{table}[h]
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\centering
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\begin{tabular}{|l|c|c|c|}
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\hline
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\textbf{Metric} & \textbf{Q1 2025} & \textbf{Q2 2025} & \textbf{Growth} \\
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\hline
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Volume (ETH) & 12,450 & 28,320 & 127\% \\
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Transactions & 45,200 & 98,500 & 118\% \\
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Unique Users & 8,200 & 18,900 & 130\% \\
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Collections Listed & 450 & 1,200 & 167\% \\
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\hline
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\end{tabular}
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\caption{Quarterly performance metrics}
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\end{table}
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\subsection{User Growth Trajectory}
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User acquisition follows an exponential growth model:
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\begin{equation}
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U(t) = U_0 \cdot e^{rt} \cdot (1 - e^{-\lambda t})
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\end{equation}
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where $r$ is the growth rate and $\lambda$ is the saturation factor.
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\subsection{Liquidity Depth Metrics}
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Liquidity depth measured by:
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\begin{equation}
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D_{liquidity} = \sum_{p=0.9P_{mid}}^{1.1P_{mid}} V(p)
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\end{equation}
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where $V(p)$ is the volume available at price $p$.
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\subsection{Price Improvement Analysis}
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Average price improvement versus individual marketplaces:
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\begin{equation}
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I_{price} = \frac{P_{individual} - P_{aggregated}}{P_{individual}} \times 100\%
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\end{equation}
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Studies show average improvement of 3.2\% with peaks of 15\% during high volatility.
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