This Script use Volume Weighted Average Price (VWAP) combined with Fibonacci Deviations of that value as Ribbons to show Support and Resistance levels, as well as estimate good Buy and Sell areas based on the extremity of distance from the central VWAP. Features: - Alerts exist for price crossover / crossunder the VWAP value, as well as any of the Fib Ribbon...
This is volume weighted RSI (Relative Strength Index). In compressing to regular RSI it look like this: The relative strength index detect an overbought/sold market when higher/lower than a certain level, often 80/20. An overbought market is more attractive to sell because prices are no longer attractive to buy, it has reached its value of interest for traders...
This is a potential solution to dealing with the inherent lag in most filters especially with instruments such as BTC and the effects of long periods of low volatility followed by massive volatility spikes as well as whipsaws/barts etc. We can try and solve these issues in a number of ways, adaptive lengths, dynamic weighting etc. This filter uses a non linear...
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...
Volatility adjusted moving multi-day VWAP zones Directionality, trend and support/resistance levels at a glance Useful for trading practically all kinds of stocks and futures. Works well with many timeframes. More updates to come, stay tuned
This script holds several useful functions from statistics and machine learning (ML) and takes measurement of a volume weighted distance in order to identify local trends. It attempts at applying ML techniques to time series processing, shows how different distance measures behave and gives you an arsenal of tools for your endeavors. Tested with BTCUSD. REM:...
UPDATE: the original version works only with BTC. Here's a general version with rescaling.
There is not much to say - just vanilla locally weighted regression in PineScript 4. see: medium.com also: cs229.stanford.edu
This is a continuation of the series on forecasting techniques. Locally weighted linear regression is a non-parametric algorithm, that is, the model does not learn a fixed set of parameters as is done in ordinary linear regression. Rather parameters Θ (theta) are computed individually for each query point x. While computing Θ, a higher “preference” is given to the...
An EMA using the Volume Oscillator to integrate volume fluctuations into the EMA calculations. Especially useful for Crypto and Forex
Volume-weighted bollinger (normal stats application of weighting mean) with cleaned up visualization. Shaded area represents1sd-2sd move size for trailing 20 period average on timeframe for individual candles.
Ichimoku with cleaned up appearance on chart and volume-weighted highs / lows. Publishing this final version with open script.
After using many different divergence scripts, I struggled to find one that didn't indiscriminately signal a constant divergence while the price was trending. This study attempts to solve this issue, along with filtering out false signals. I have found it to print less signals and to be more accurate. It also gives you a confluence level between high probability...
MULTI-TF AVERAGE BBANDS - with signals (BETA) Overall, it shows where the price has support and resistance, when it's breaking through, and when its relatively low/high based on the magic of standard deviation. created by gamazama. send me a shout if u find this useful, or if you create something cool with it. %BB: The price's position in the boilinger band is...
This moving average was originally developed by John McCormick in 2008 as NinjaTrader indicator. The purpose was to find a cheap replacement for JMA ( ). Well, not impressive concerning the response. Source code on request .
This type of moving average was originally developed by Alex Orekhov at his home. This WMA uses previous prices as weights for the new ones. At the moment, this is a highly experimental approach, so don't use it in real trading. The weighting scheme is presented on the chart.
An oscillator form of the crossover system that was recommended by Mark Jurik. The oscillator is based on the Jurik Moving Average (JMA) and Double Weighted Moving Average (DWMA) convergence/divergence. I use the best original JMA' clone on TradingView that has the almost identical behaviour as the original one. I made it more pretty and added alerts for the...