Cara menggunakan exponential decay python

This model, which I'm calling the Logarithmic Fractal Growth Mode (L.F.G) , uses Bitcoin's mathematical monetary policy to evaluate the future possible price valuation. It takes into account fractal (and logarithmic) growth as well as how those who hold bitcoins might react to certain events such as changes in supply and demand. It also shows that it is...

This code is a slightly modified version of Tradingviews' built-in "linear regression" script which can be correctly plotted on logarithmic charts.

Here is my logarithmic regression bands based on non-bubble data. I've shifted the bands to fit key areas which hopefully will have confluence for years to come. Hope others find this useful! Best used on the Weekly time frame but is visible on lower. Make sure your chart is set to LOG.

Logarithmic regression (or known as Tseng's tunnels), is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75%...

The idea is help traders to see the patterns and levels from a different point o view. This script create candlestick using the opening, high, low and close price as source on your favorite function. It's very simple to use: Select a function in the drop box list, the number of bars length, check or uncheck the boxes to treat source as logarithm, smooth, and...

Analyze exponential trends, a line in log chart is exponential in an absolute chart.

This script is a combination of different logarithmic regression fits on weekly BTC data. It is meant to be used only on the weekly timeframe and on the BLX chart for bitcoin. The "fair value" line is still subjective, as it is only a regression and does not take into account other metrics.

Logarithmic regression is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line. This...

I found this awesome script from @quantadelic and edited it to be a bit more legible for regular use, including coloured zones and removing the intercept / slope values as variables, to leave space for the fib levels in the indicator display. I hope you all like it.

Calculates a log-log regression from arrays. Due to line limits, for sets greater than the limit, only every nth value is plotted in order to cover the entire set.

Logarithmic regression of the USD price of Bitcoin , calculated according to the equation: y=A*exp(beta*x^lambda + c) + m*x + b where x is the number of days since the genesis block. All parameters are editable in the script options.

Volume frome curent chart or cumulated volume from Binance, Bybit Kraken, Ftx and Coinbase. You can chose also. log scale on simple or cumulated volume. Colors: Grey. total volume Red. sell Volume Green. Buy volume Red or green shows only bigger value

This indicator is basically the standard linear regression but adjusted to be suitable for log scale. You can use 2 different standard deviation values, choose the data source and lookback length. The colors are chosen directly on the main menu. Enjoy!

Here is my interpretation of the "Best Time To Buy" Bitcoin over its lifetime using a logarithmic regression trendline. The upper and lower lines are 10% deviations from the centre line. I calculated the trendline in excel and then coded my results into pine script.

Another in a series of experimental indicators using logarithmic scale visualisation. This one extends into some work on I've been doing on 'the cube', but Pine isn't liking multiple log lines even when the equations are included for each plotted variable, meaning, no variables used in the definition of a variable, as is done here. As a result, accuracy of this...

This a companion indicator for the Bitcoin Logarithmic Growth Curves indicator. This is an oscillator version of the above. When the indicator is at / near 1 then Bitcoin price is at / near the upper range of its long-term logarithmic growth trend. When at / near 0 then price is at / near the lower range of that trend. This indicator only works with the BLX...

This is a Volume statistical mean and Lognormal deviation This indicator shows X amount of Volume bars Lognormal Mean and Standard Deviation, then applies your confidence level. Just hit like to keep getting free indicators!

LITECOIN Logarithmic Growth Curves BTC/USD derived from BTC logarithmic growth curves, adapted to LTC. Being LTC similar as BTC the log growth curves can be applied also for LTC.