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  1. Neural networks made easy (Part 73): AutoBots for predicting price movements

    by , 06-08-2024 at 10:10 AM
    The proposed method is based on the Encoder-Decoder architecture. It was developed to solve problems of safe control of robotic systems. It allows the generation of sequences of trajectories for multiple agents consistent with the scene. AutoBots can predict the trajectory of one ego-agent or the distribution of future trajectories for all agents in the scene. In our case, we will try to apply the proposed model to generate sequences of price movements of currency pairs consistent with market dynamics.
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  2. Neural networks made easy (Part 72): Trajectory prediction in noisy environments

    by , 06-06-2024 at 10:09 AM
    The noise prediction module solves the auxiliary problem of identifying noise in the analyzed trajectories. This helps the movement prediction model better model potential spatial diversity and improves understanding of the underlying representation in movement prediction, thereby improving future predictions.
    The authors of the method conducted additional experiments to empirically demonstrate the critical importance of the spatial consistency and noise prediction modules for SSWNP.
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  3. Bill Williams Strategy with and without other Indicators and Predictions

    by , 06-01-2024 at 03:44 PM
    Bill Williams has a doctorate in Psychology, this is important because some traders use markets sentiment. This is very used and can be done with a sentiment script with an IA to score the sentiment of traders feelings with web markets scrapping in a for example social web. At the end of the article, there will be an example of Sentiment Analysis of market news.

    Bill Williams psychology formation helped him adapt psychological concepts to trading. He studied market from a human perspective
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  4. Build Self Optmising Expert Advisors in MQL5

    by , 05-30-2024 at 07:39 AM
    Opting for MQL5's matrix and vector capabilities over alternatives like ONNX and Python has considerable benefits. Using an ONNX model would require separate model instances for each trading symbol and new models for any minor parameter changes, such as time frame adjustments. MQL5, however, offers adaptability without the need to manage numerous models for varying conditions.
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  5. Triangular arbitrage with predictions

    by , 05-30-2024 at 06:05 AM
    This article is about the triangular arbitrage strategy, it has an example of two triangular arbitrages, and this is done with deep learning models, which are added to the downloads, and a EA which is also added to the downloads. Triangular arbitrage leverages discrepancies in exchange rates to generate risk-free profits.
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