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Indicators sold on the MetaTrader Market are spun out of our research in AI and predictive analytics for time series stock market data. We made these indicators for ourselves... they have been good for us, and we hope you like them too!
The math behind these indicators can be used across almost any asset class. However, they were commercialized specifically in MQL4/5 programming language to be sold on the MetaTrader software market.
EMA Separation Coefficient reflects the separation between short-term and long-term exponential moving average trend resistance, as well as the direction of the current movement. Pay attention to potential crossover points when the coefficient approaches zero, this may indicate an upcoming breakout or reversal. Wait for confirmation of the trend before entering the trade, and exit when the coefficient forms a max (for calls) or a min (for puts). This is a small tool to help visualize the
"The Squeeze indicator attempts to identify periods of consolidation in a market. In general the market is either in a period of quiet consolidation or vertical price discovery. By identifying these calm periods, we have a better opportunity of getting into trades with the potential for larger moves. Once a market enters into a "squeeze," we watch the overall market momentum to help forecast the market direction and await a release of market energy." Modified TTM Squeeze Indicator is a
"Battles between bulls and bears continue to influence price development long after the combat has ended, leaving behind a messy field that observant technicians can use to manage risk and find opportunities. Apply "trend mirror" analysis to examine these volatile areas, looking for past action to impact the current trend when price turns and crosses those boundaries." - Investopedia.com RSI Mirrors and Reflections is a robust technique using multiple RSI periods, mirrors and reflections based
Fano Factor is a measure of the dispersion of the probability distribution of Fano noise, named after Ugo Fano, an Italian-American Physicist. Fans has applications in Particle Detection and Neuroscience for describing variability in complex multivariate data. In trading, we have discovered Fano can be used as a 'signal to noise' ratio, and can indicate the strength of price movements (i.e., price movement is greater than predicted by purely statistical measures). Like standard deviation, Fano
"Wouldn't we all love to reliably know when a stock is starting to trend, and when it is in flat territory? An indicator that would somehow tell you to ignore the head fakes and shakeouts, and focus only on the move that counts?" The Choppiness Index is a non-directional indicator designed to determine if the market is choppy (trading sideways) or not choppy (trading within a trend in either direction). It is an oscillating indicator between -50 (very trendy) and +50 (very choppy). There are