---
title: "Discussion on \"Optimal Storage for Trading Factors Calculated at Mid to High Frequencies\" | Hashnode"
description: "Discussion on \"Optimal Storage for Trading Factors Calculated at Mid to High Frequencies\". Maintaining a large number of factors is a common challenge in quantitative analysis. In many cases, the volume factor data can far exceed that of high-frequency market data. For example, calculating factor data for a year across 5,000 securities can..."
url: "https://hashnode.com/posts/optimal-storage-for-trading-factors-calculated-at-mid-to-high-frequencies/672195202142d15d80dfef10"
---

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# [Optimal Storage for Trading Factors Calculated at Mid to High Frequencies](https://medium.com/@DolphinDB_Inc/optimal-storage-for-trading-factors-calculated-at-mid-to-high-frequencies?utm_source=hashnode&utm_medium=feed)

Maintaining a large number of factors is a common challenge in quantitative analysis. In many cases, the volume factor data can far exceed that of high-frequency market data. For example, calculating factor data for a year across 5,000 securities can...

Oct 30, 2024 · 15 min read · medium.com  
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-   [#factor](https://hashnode.com/tag/factor)
-   [#high-frequency-trading](https://hashnode.com/tag/high-frequency-trading)
-   [#dolphindb](https://hashnode.com/tag/dolphindb)
-   [#storage](https://hashnode.com/tag/storage)
-   [#data](https://hashnode.com/tag/data)

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