Bollinger Bands are the result of the assumption that closing prices will follow a normal distribution. However, when I actually calculated the probability, the closing price does not follow a normal distribution. According to the normal distribution, the probability that Z > 2 should be 2.2%, but on the chart, the probability is 6~9%. Can we get a useful...

41

Probability Distribution Histogram During data exploration it is often useful to plot the distribution of the data one is exploring. This indicator plots the distribution of data between different bins. Essentially, what we do is we look at the min and max of the entire data set to determine its range. When we have the range of the data, we decide how many...

575

The exa is an oscillator that combines fisher transform with distance from moving average and it is based on a theory that exhaustion can be derived from how far price is able to extend from a moving average, on average. The fisher transform converts price into a gaussian normal distribution, also known as a bell curve {1}. A normal distribution is a type of...

391

The Impossible RSI is built on original RSI. If users want traditional RSI value, they can choose "Traditional RSI" in RSI mode. Untick "Log transform" ,"Error Correcting Smoothing " and "show columns" options in settings. Orginal RSI allows negative price as input. By using the log transform on input price, we eliminate the negative price scenario. The...

228

Mom is a momentum indicator calculated based on the EWMA historical volatility. It calculates the difference between the upward volatility and downward volatility. An advanced smoothing technique is used to smooth the indicator for people who want to get rid of noises. It has error-correcting property and limits overshoot. The lag is limited while still...

208

Volatility bands based on average candle percentage spread. Tested on BTCUSD charts only. Based on the 68-95-99.7 rule, it seems that the spread, for daily and 4-H candles, follows a normal distribution: that means, around 85% of candles have a %-spread within sma(low/high, some_len) and sma(high/low, some_len) , and around 95% of candles within the pow2 of...

30