Michail Pavlakis / 个人资料
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I am a quantitative trader with a Master’s in Finance & Banking, specializing in statistical modeling, algorithmic trading, and derivatives pricing. My expertise includes:
Algorithmic trading in MT5: Strategy development, delta hedging, and volatility modeling
Quantitative finance: GARCH, ARIMA, Kalman Filter, VECM, Monte Carlo simulation etc.
Option pricing & risk management: Replicating call option payoffs, futures-based hedging
Data-driven strategy optimization: Python, MATLAB, and MQL5 for modeling and automation
Passionate about systematic trading and financial engineering, I develop robust, data-driven trading models for enhanced market performance
Adaptive Momentum Oscillator (AMO) – Next-Gen Momentum Indicator Overview The Adaptive Momentum Oscillator (AMO) is a powerful technical analysis tool that dynamically adjusts its sensitivity to market conditions by incorporating adaptive lookback periods, noise filtering, and normalization techniques . Traditional momentum indicators use fixed lookback periods, which can lead to inefficiencies in trending and ranging markets. The AMO overcomes this limitation by adapting its calculation based
Probabilistic Price Predictor (QuantBreak Probability Suite) – The Bayesian Edge for Smarter Trading Unlock the Power of Probability in Market Forecasting. The Probabilistic Price Predictor is a revolutionary trading indicator that applies Bayes' Theorem to forecast breakout probabilities with mathematical precision. Instead of relying on traditional, rigid indicators, QuantBreak uses adaptive probability calculations to identify high-probability trade setups based on historical