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    <loc>https://teresius-ai.com/news/multifractals-and-financial-markets-on-the-possibility-of-universal-patterns</loc>
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      <image:title>News - Multifractals and Financial Markets: On the Possibility of Universal Patterns - Make it stand out</image:title>
      <image:caption>Weekly candlestick chart (1w timeframe). The highlighted segment spanning candles 80–120 on the x-axis shows a distinct price formation — a peak, decline, and partial recovery — with both moving averages (fast: blue, p=25; slow: orange, p=79) reflecting the underlying momentum structure at this scale.</image:caption>
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      <image:title>News - Multifractals and Financial Markets: On the Possibility of Universal Patterns - Make it stand out</image:title>
      <image:caption>Four-hour candlestick chart (4h timeframe) of the same asset. The highlighted segment spanning candles 80–130 on the x-axis displays a geometrically similar pattern: the same rounded consolidation, directional shift, and recovery shape — but compressed into a much shorter clock-time window. The visual similarity between the two formations, observed across timeframes that differ by a factor of 42, illustrates a core property of multifractal systems: structural self-similarity across scales. This is not coincidence — it is the empirical signature that multifractal analysis is designed to detect and quantify.</image:caption>
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    <lastmod>2026-02-26</lastmod>
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      <image:title>News - Forecasting Financial Markets Using Multifractal Neural Networks - Make it stand out</image:title>
      <image:caption>Figure 1. Example of Teresius AI Forecast for BTCUSDT The model demonstrates directional consistency with actual market movement and resilience to short-term fluctuations.</image:caption>
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      <image:title>News - Forecasting Financial Markets Using Multifractal Neural Networks - Make it stand out</image:title>
      <image:caption>Figure 2. Example of Teresius AI Forecast for EURUSD The characteristic multifractal structure enables the identification of reversal zones and stability ranges.</image:caption>
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    <lastmod>2025-05-29</lastmod>
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    <lastmod>2026-02-25</lastmod>
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