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My early interests were in pattern analysis of signals from gas sensors. Subsequently, I switched to Iot data streams, especially for Industry 4.0 applications.
Recently, I moved to stock market signals trying to capitalize on my experience in previous domains.
Pivot Mean Oscillator (PMO) is a unbounded zero-centered oscillator that provides a quick and normalized measure of divergence between two spreads. Detailed description of the mathematical formulation along with some comments and experiments can be found in this article . Trading aspects This version of PMO is tuned on spreads relative to Close and Open price signals against their cumulative moving average (CMA). Positive PMO(m,n) values means that last (normalized) m Close prices are
This article presents Pivot Mean Oscillator (PMO), an implementation of the cumulative moving average (CMA) as a trading indicator for the MetaTrader platforms. In particular, we first introduce Pivot Mean (PM) as a normalization index for timeseries that computes the fraction between any data point and the CMA. We then build PMO as the difference between the moving averages applied to two PM signals. Some preliminary experiments carried out on the EURUSD symbol to test the efficacy of the proposed indicator are also reported, leaving ample space for further considerations and improvements.
Heraclitus is a trend-following intraday trading robot engineered to find promising reversal points to enter the market. This product works with EURUSD symbol on M1 timeframe and MUST NOT be used in combination with others EA on the same account to avoid interferences in automatic trading decisions. KEY FEATURES Fully-automated Autolots Trailing stop Flexibile trade management Works also with minimum lot size Risk can be controlled by
