Adaptive, Double Jurik Filter Moving Average (AJFMA) is moving average like Jurik Moving Average but with the addition of double smoothing and adaptive length (Autocorrelation Periodogram Algorithm) and power/volatility {Juirk Volty) inputs to further reduce noise and identify trends. What is Jurik Volty? One of the lesser known qualities of Juirk smoothing...
Adaptive Look-back, Adaptive Volatility Phase Change Index on Jurik is a Phase Change Index but with adaptive length and volatility inputs to reduce phase change noise and better identify trends. This is an invese indicator which means that small values on the oscillator indicate bullish sentiment and higher values on the oscillator indicate bearish sentiment ...
Ehlers Autocorrelation Periodogram contains two versions of Ehlers Autocorrelation Periodogram Algorithm. This indicator is meant to supplement adaptive cycle indicators that myself and others have published on Trading View, will continue to publish on Trading View. These are fast-loading, low-overhead, streamlined, exact replicas of Ehlers' work without any...
Ehlers Adaptive Relative Strength Index (RSI) is an implementation of RSI using Ehlers Autocorrelation Periodogram Algorithm to derive the length input for RSI. Other implementations of Ehers Adaptive RSI rely on the inferior Hilbert Transformer derive the dominant cycle. In his book "Cycle Analytics for Traders Advanced Technical Trading Concepts", John F....
I created a simple tool where you can input your capital (in USD) and it will track your buying power against Bitcoin and Ethereum. A handy tool for Dollar Cost Averaging and trend following systems. Default value: You have 1000$ Formula: Buying power = Capital / Underlying assets
Adaptive QQE is a fixed and cycle adaptive version of the popular Qualitative Quantitative Estimation (QQE) used by forex traders. This indicator includes varoius types of RSI caculations and adaptive cycle measurements to find tune your signal. Qualitative Quantitative Estimation (QQE): The Qualitative Quantitative Estimation (QQE) indicator works like a...
Trend Identifier for 1D BTC.USD It smoothens a closely following moving average into a polynomial like plot. And assumes 4 stage cycles based on the first and second derivatives. Green: Bull / Exponential Rise Yellow: Distribution Red: Bear / Exponential Drop Blue: Accumulation Red --> Blue --> Green: indicates the start of a bull market Green --> Yellow -->...
TASC's March 2008 edition Traders' Tips includes an article by John Ehlers titled "Measuring Cycle Periods," and describes the use of bandpass filters to estimate the length, in bars, of the currently dominant price cycle. What are Dominant Cycles and Why should we use them? Even the most casual chart reader will be able to spot times when the market is...
This indicator shows the distance between the current price and the Moving Average price. Key Features: Show the distance between price and Moving Average (Read Distance Calculation for more information) Show Historic Highs and Lows Show Highest High and Lowest Low Show current Highest High, current Lowest Low and current distance Key...
Easy Viewing of 4 different duration bond yields for US and Canada. Bond prices and bond yields are excellent indicators of the economy as a whole, and of inflation in particular. A bond's yield is the discount rate that can be used to make the present value of all of the bond's cash flows equal to its price. Good as part of a macro set.
Use this indicator in the weekly time frame: One of the most widely used indicators for identifying the Bitcoin market bottom is the 200-week moving average. This indicator works based on the ratio of price to the value of the 200-week moving average. When the indicator enters the lower blue part (overflow area), it indicates the bitcoin is in the bottom of the market.
This is an indicator to identify possible tops and bottoms after exponential price surges and drops, it works best on ETH 1D, but you can also use it for bitcoin and altcoins. It's based on stochastic first and second derivatives of a close moving average
Bitcoin's Value as determined by Joules of energy input only Calculations per Medium article EV = (Energy-in) / (Supply Growth Rate) * (Fiat Factor) Historic Energy Efficiency data can only be entered monthly due to processing speed constraints of below data load and should be considred an estimate only. Energy Efficiency Data requires manual updating. Currently...
Use this oscillator at weekly timeframes: The Bitcoin Price Temperature (BPT) is an oscillator that models the number of standard deviations the price has moved away from the 4-yr moving average. This seeks to establish a mean reversion model based on the cyclical nature of Bitcoin halving and investment cycles. The BPT bands then establish price levels that...
Inspired by the latest TASC article, the crocker graph is expanded to show 5 tickers. for commodity also draws a side box with current tickers candles so it can be used as standalone.
This simple script generates signals for testing the connection from TradingView to a REST API client via the webhook and demonstrates very basic concepts of gerenating alerts within the script. This script also demonstrates how to visualize when a buy or a sell should take place and how to use diagnostics text for bug fixes/informational purposes. This is for...
The columns After I found a way to calculate a price as a percent of the middle line of the KeltCOG Channel in the KCGmut indicator (published), I got the idea to use the same trick in the Fbonacci Zone Channel (also published), thus creating an oscillator. I plot the percent’s as columns with the color of the KeltCOG Channel. Because the channels I created and...
Hi all, In these troubled times, going back to fundamentals can sometimes be a good idea 😊 I put this one up using data retrieved from “Nasdaq Data Link” and their “Blockchain.com” database. Here is a good place to analyses some Bitcoin data “outside” its price action with 25 different data sets. Just go to the settings menu and display the ones you are...