FiboSequ: Fibonacci Sequence Marking Leonardo Fibonacci was an Italian mathematician who lived in the 12th century. His real name was Leonardo of Pisa, but he is commonly known as "Fibonacci." Fibonacci is famous for introducing the Hindu-Arabic numeral system to the Western world. This system is the basis of the modern decimal number system we use...
The Sequencer indicator is a tool that is able to highlight sequences of prices based on their relative position to past prices, which allows a high degree of customization from the user. Two phases are included in this script, a "Preparation" phase and a "Lead-Up" phase, each with a customizable amount of steps, as well as other characteristics. Users can...
The main benefit of this indicator is the ability to see multiple higher timeframes at ones to get a better overview of signals that could mark possible trend reversals with more weight than those on the selected timeframe. Since the higher timeframes are calculated automatically, the user needs to set a Period Multiplier that multiplies the selected timeframe...
a basic tool to retrieve statistics of the distribution of price range sequences.
Function to create a array from a sample taken from a series (ex:. close, hlc3...).
The script is a simple calculator to obtain numbers of Fibonacci, Tribonacci or Tetranacci Sequence. The script contain calculations for constants (up to 16 digits) that could be used as one of the sequence's number. The Calculator has 3 modes. Users can define the numbers to initialize the sequence in the options: - The Fibonacci Sequence is the series of...
The previously proposed sequential filter aimed to filter variations lower than a certain period, this allowed to remove noisy variations and retain only the closing price values that occurred after a consecutive up/down, however because of the noisy nature of the closing price large filtering was impossible, in order to tackle to this problem the same indicator...
A moving average that weighted with Farey fractions. It matches a standard linear weighted average almost one-to-one. Why? Because both averages have strictly monotonic weighting sequences and assign a higher weight to latests data. So, Farey weights are just scaled to linear ones. Instead of specifing period you specify an order of Farey sequence. To learn more...
counts N of sequences, N of bars, N of same open/close value, and N of sequences from 1 -> 10+ bar sequences in a direction up/down.
EXPERIMENTAL: just some experimentation to check results, putting it out there. :P odds of the next bar being up or down bar.
Simple green/red sequence counter, also gives current highest achieved sequence(black lines).