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  1. The Hypothesis of Randomness: Searching for Hidden Patterns in Price Series

    by , 10-19-2026 at 12:15 PM
    Testing this hypothesis on the quotes of financial instruments can provide valuable information to analysts who develop trading systems based on detecting statistically significant deviations from the efficient market hypothesis. This article examines how to test the randomness hypothesis using the chi-square method. This is a versatile and well-studied method that can be used to test various statistical hypotheses; it is based on comparing the observed and expected frequencies of events.
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  2. Price Action Analysis Toolkit Development (Part 40): Market DNA Passport

    by , 09-20-2025 at 06:03 AM
    A mutation is a significant change in the EA’s market fingerprint, flagged when the cosine or normalized L2 distance between the previous and current DNAMetrics exceeds the set thresholds—and usually means a regime shift (e.g., ATR, spikes, session dominance, or retracement behavior changed). Treat it as an early warning: inspect which metrics moved, tighten or pause execution (smaller size, wider ATR stops, higher signal threshold), and validate the new profile with a few recalculations
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  3. Developing a Replay System (Part 78): New Chart Trade (V)

    by , 09-02-2025 at 05:10 PM
    In the previous article "Developing a Replay System (Part 77): New Chart Trade (IV), I explained the subject as thoroughly as possible, while trying not to overcomplicate matters, even though this is often a rather complex topic. The question at hand is: how do you develop a communication protocol? This is essential if you want to transfer information between different applications or programs, whether they are running in the same environment or not. In our specific case, we want the Chart ...
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  4. Market Profile indicator

    by , 07-17-2025 at 04:44 AM
    Market Profile is not a traditional technical indicator and it does not provide direct trading signals. But it complements a trading system, allowing traders to arrange the data and determine who controls the market, what fair value is, and what factors influence price movements.
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  5. Neural Networks in Trading: Transformer with Relative Encoding

    by , 05-30-2025 at 07:33 AM
    Price forecasting and market trend prediction are central tasks for successful trading and risk management. High-quality price movement forecasts enable traders to make timely decisions and avoid financial losses. However, in highly volatile markets, traditional machine learning models may be limited in their capabilities.
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