Blog

Oscillators play an important role in technical analysis due to the amount of information they can return as well as their ability to lead price variations and are often used in conjunction with trend indicators. This post offers a deep dive into this classic oscillator, sharing observations as well as reviewing derived indicators.

This indicator estimates a volume footprint using tick data. The script automatically separates a candle into equidistant intervals with a width obtained from the average true range or a user-given width.

To complete our previous work on breakouts with pivot point-based levels, we introduce an indicator returning pivot point based trendlines with highlighted breakouts. Users can control the steepness of the trendlines as well as their slope calculation method.

The following indicator aims to return information over RSIs using multiple periods, including the percentage of RSIs of different periods being overbought/oversold, as well as the average between these multiple RSIs.

Double tops/bottoms are relatively frequent and easy formations to identify and use. In this post, we provide a description of each pattern, implications, respective measure rule, as well as the variations described by Bulkowski.

This indicator returns VWAP bands with a degree of smoothness resetting based on various user-selected events. The bands are constructed using a VWAP based naive standard deviation.

The following tool aims to automatically categorize which XABCD harmonic pattern is highlighted by the user and to alert when the price reaches the PRZ or D point.

This toolkit aims to display multiple Fibonacci drawing tools including retracements, arcs, circles, fans, timezones and spirals.

In this series about chart patterns we previously discussed narrowing wedges patterns, explaining their identification rules, the measure rule associated with them, and various observations.

This indicator is an implementation of a circular barplot aiming to return the market sentiment given by multiple normalized oscillators. These include the relative strength index ( RSI ), Stochastic %K (%K), Linear Correlation Oscillator (ROSC), William Percent Range (WPR), Percent Rank (%R), and money flow index ( MFI ).

Trading moon phases has become quite popular among traders, believing that there exists a relationship between moon phases and market movements. This strategy is based on an estimate of moon phases with the possibility to use different methods to determine long/short positions based on moon phases .

In this series of chart patterns, we have taken a look at the more traditional ones. However, we have not yet discussed harmonic patterns .