Juan Antonio Alvarenga Galindo
Juan Antonio Alvarenga Galindo
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Desarrollador at Chile
Creator, designer, and developer of trading platform bots, specializing in algorithmic trading, with expertise in data science, machine learning, and statistics. Five years of trading experience, creating my own trading bots on various platforms such as MetaTrader and TradingView.
I am self-taught, having conducted research and developed strategies using mathematics and advanced algorithms to identify patterns in financial markets. This approach eliminates the emotional component of manual strategies, which often undermines the psychology of trading. I have made this profession a discipline, developing strategies guided by mathematical logic that is proven, reviewed, and constantly evolving and improving.
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Juan Antonio Alvarenga Galindo Published product

Fusion Harmonic Intelligence, designed to operate on the MetaTrader 5 platform. This tool combines harmonic pattern analysis with traditional technical indicators, such as RSI and moving averages, to identify precise market entry points. The software stands out for its robust risk management, which includes contingency plans for significant losses, an integrated news filter, and an aggressive hedging system to protect capital. Additionally, it offers operational flexibility through a dynamic

Juan Antonio Alvarenga Galindo Published product

TRADING SYSTEM TOPGUN, an advanced automated trading system. The strategy integrates artificial intelligence using the K-Nearest Neighbors (KNN) algorithm to predict price movements based on historical volume patterns and technical indicators. The system employs multiple layers of validation, including volatility filters, liquidity manipulation detection, and rigorous risk management that limits daily losses. Additionally, the software incorporates active position management functions, such as

Juan Antonio Alvarenga Galindo Published product

150.00 USD

Master Guide: Entry Logic in Algorithmic Trading (STARFOX System) 1. Introduction to the Automatic Decision Engine In the design of high-fidelity systems, the decision-making architecture is centralized in the CSignalEngine. This specialized class is not merely a software component, but a class-based architectural structure that abstracts complex data buffers (RSI, MA, ADX) into discrete, executable boolean logic. The CSignalEngine processes a three-candle technical history (indices 0, 1, and

Juan Antonio Alvarenga Galindo
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