Henrique Helmuth Kreutz Pfeifer / Satıcı

Tick imbalance bars (TIB), described in the book Advances in Financial Machine Learning (2018) by Marcos López de Prado. Indicator that show candlestick bars with an different sampling method than time fixed. Real time data is sourced to the indicator and it may be used as substitute of the default graph. Each bar is formed when a predefined tick balance is exceeded, showing in the graph the OHLC of this cluster of ticks. The input variable is the amount of ticks of each bar. The indicator may

Indicator that show candlestick bars with an different sampling method than time fixed. Real time data is sourced to the indicator and it may be used as substitute of the default graph. Each bar is formed when a predefined volume of assets was dealt, showing in the graph the OHLC of this clustering. The amount of bars is proportional to the amount of negotiations instead of a sample in a fixed amount of time. If the broker doesn't show the real volume of the trades, this indicator won't work. Th

Indicator that show candlestick bars with an different sampling method than time fixed. Real time data is sourced to the indicator and it may be used as substitute of the default graph. Each bar is formed when a predefined amount of ticks is received, showing in the graph the OHLC of this clusteri of ticks. The input variable is the amount of ticks of each bar. It's a different approach of sampling, the amount of bars is proportional to the amount of negotiations insted of a sample in a fixed am