Angel Algo Oscillator
Paired with our Buy & Sell Alerts
Angel Algo Oscillator, It has many little features that all work in conjunction to help you see trends in the market. This combines 3 different Exponential Moving Average's and two Simple Moving Average's with a Relative strength index to make one of the best trend analysis oscillators. Angel Algo Oscillator will help you see: - Direction of trends - Momentum of trends monitoring - Arrow signals of trend switches - Get overbought/oversold detection This Oscillator is measured by: - Values above zero are considered bullish , and larger arrows print when the crossover occurs in the bullish area. - Values below zero are considered bearish , and larger arrows print when the cross under occurs in the bearish area. how it’s different from other oscillators ? It is absolutely different from all other oscillators such as Stochastic etc. This is a example of how to read the oscillator - Light green -> Bullish momentum increasing. - Dark green -> Bullish momentum decreasing. - Light red -> Bearish momentum increasing. - Dark red -> Bearish momentum decreasing. Best to use this indicator usually on two timeframes. On higher timeframe (Daily or H4) I determine main trend direction. On lower timeframe (from H1 to M15) I'm looking for perfect entry point.
Institutional Activity metric
Institutional Activity metric shows level of institutional activity with blue bars, This is catching when institutions are showing activity in any security and be used and reversal indication or a heads up something is happening!
This study compares the price at which a large block transaction is executed either with the prices of adjacent transactions in the same stock, or with closing prices. In a frictionless market with no information effects, the market price should not be affected by trades.
Any impact of trades on prices is thus consistent with the presence of new information conveyed by large transactions (Kyle (1985), Easley and 2 O'Hara (1987)), or with the existence of various kinds of market frictions. Such frictions might reflect the existence of different forms of liquidity costs, including the costs of processing orders.