Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the...
This Indicator, will rate multiple different lengths of RSIs to determine which RSI to RSI MA cross produced the highest profit within the lookback span. This ‘Optimal RSI’ is then passed back, and if toggled will then be thrown into a Machine Learning calculation. You have the option to Filter RSI and RSI MA’s within the Machine Learning calculation. What this...
Trend lines have always been a key indicator that may help predict many different types of price movements. They have been well known to create different types of formations such as: Pennants, Channels, Flags and Wedges. The type of formation they create is based on how the formation was created and the angle it was created. For instance, if there was a strong...
Introduction:
This script implements a comprehensive trading strategy that adheres to the established rules and guidelines of housing trading. It leverages advanced machine learning techniques and incorporates customised moving averages, including the Conceptive Price Moving Average (CPMA), to provide accurate signals for informed trading decisions in the housing...
FRAMA (Fractal Adaptive Moving Average) is a technical analysis indicator that adapts its smoothing period according to the market's volatility, allowing it to provide accurate signals in all market conditions. This indicator script plots the FRAMA on a chart and generates buy and sell signals based on the FRAMA and candlestick patterns. It also includes an option...
This code is a TradingView indicator that analyzes the Bank Nifty index of the Indian stock market. It uses various inputs to customize the indicator's appearance and analysis, such as enabling analysis based on the chart's timeframe, detecting bullish and bearish engulfing candles, and setting the table position and style.
The code imports an external script...
Dr. Scott Cong's new adaptation of an adaptive moving average (AMA), featured in TASC March 2023.
It adjusts its parameters automatically according to the volatility of market, tracking price closely in trending movement, staying flat in congestion areas.
Perry Kaufman’s adaptive moving average, first described in his 1995 book Smarter Trading, is a great...
This indicator (Ostinated Adjustable Fractal with Alert) is like the traditional William Fractals. However, it created to overcome two disadvantages of the William Fractals:
1. Set minimum value to 1. This a big advantage over traditional William Fractal that has a minimum value of 2.
2. Alerts: setting alert with the traditional William Fractal is very...
The best collection of moving averages anywhere. I know, because I searched, couldn't find the right collection, and so wrote it myself!
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Notable features that either aren't found anywhere else...or at least in one...
This script plots UP TO 4 FRAMAs (Fractal Adaptive Moving Average), a particularly useful adaptive MA which uses fractal price theory to "adapt" itself, or better, to auto-adjust its parameters. It's quite reactive, but its major strength resides in its ability to filter the noise during lateral price movements, avoiding some false signal provided by more common...
FRAMA – What is it?
Fractal Adaptive Moving Average Technical Indicator ( FRAMA ) was developed by John Ehlers, code was implemented by TradingView user Shizaru. I've updated it to Pine Script 4 and added Bands Extension.
This indicator is constructed based on the algorithm of the Exponential Moving Average , in which the smoothing factor is calculated based on...
"FRACHTALS" - A practical example of taking a joke entirely way, way too far
Speaking of which - Moon when?
#REKT
Credits/Acknowledgements/References:
Fractal detection + other functions (@RicardoSantos)
Laguerre RSI w/ self-Adjusting Alpha (@everget)
Credit goes to Shizaru for the original calculation. I made just a few fixes, so that the calculation is really that of Ehlers.
Fixed H2 and L2 period, fixed w natural logarithm
etfhq.com
Overall the D-AMA produced results that were near identical to that of the FRAMA but the D-AMA is a slightly faster average.
It is very difficult to pick between the FRAMA and the D-AMA but becuase the FRAMA offers a slightly longer trade duration it the best Moving Average we have tested so far.
Ignore the other one (it contains some errors).
On this FRAMA you can play with length, SC and FC.
Just read on below links to understand more about this super useful moving average:
etfhq.com
etfhq.com
www.quantshare.com
Settings:
FRAMA: blue line, SC = 252, FC = 40, length = 252
EMA: orange line, length = 50
FRAMA seems to be the evolution of the current and much-used EMA. The basic strategy is simple: long if the price crosses up the line, short or exit if vice versa.
The main difference between EMA and FRAMA is that the first one seems to lag much more than the first...
![BTCUSDT: Machine Learning: VWAP [YinYangAlgorithms]](https://s3.tradingview.com/v/vhEiWwdk_mid.png "Machine Learning: VWAP [YinYangAlgorithms]")
![BTCUSDT: Machine Learning: Optimal RSI [YinYangAlgorithms]](https://s3.tradingview.com/b/bLOzFkhi_mid.png "Machine Learning: Optimal RSI [YinYangAlgorithms]")
![BTCUSDT: Machine Learning: Trend Lines [YinYangAlgorithms]](https://s3.tradingview.com/u/U3CHwiXZ_mid.png "Machine Learning: Trend Lines [YinYangAlgorithms]")
![BANKNIFTY: FRAMA and Candlestick Patterns [CSM]](https://s3.tradingview.com/2/2sqUa8Z3_mid.png "FRAMA and Candlestick Patterns [CSM]")
![XBTUSD.P: Ehlers Fractal Adaptive Moving Average with Bands [Bitcoinduke]](https://s3.tradingview.com/y/Ytvkz7eD_mid.png "Ehlers Fractal Adaptive Moving Average with Bands [Bitcoinduke]")
