We present a customizable MACD indicator, with the following features: Multi-timeframe Deviation bands to spot unusual volatility 9 Moving Average types Conditional coloring and line crossings 👉 What is MACD? MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes,...
The Volume-Weighted Kaufman's Adaptive Moving Average (VW-KAMA) is a technical indicator that combines the Volume-Weighted Moving Average (VWMA) and the Kaufman's Adaptive Moving Average (KAMA) to create a more responsive and adaptable moving average. Advantages: Volume-Weighted: It takes into account the volume of trades, giving more weight to periods with...
Works better for Cryptos (1W and greater than) timeframes. This strategy incorporates multiple indicators to make informed trading signals. It leverages the Stochastic indicator to assess price momentum, utilizes the Bollinger Band to identify potential oversold and overbought conditions, and closely monitors Moving Averages to gauge the trend's bullish or...
Introduction: In the ever-evolving world of Forex trading, strategies that provide a competitive edge are highly sought after. The Moving Average (MA) crossover technique is a popular long-term approach, but its vulnerability to false signals can lead to potential losses. To overcome this challenge, we introduce a game-changing MA crossover filter designed to...
Title: Major and Minor Trend Indicator by Nikhil34a V 2.2 Description: The Major and Minor Trend Indicator v2.2 is a comprehensive technical analysis script designed for use with the TradingView platform. This powerful tool is developed in Pine Script version 5 and helps traders identify potential buying and selling opportunities in the stock...
Overall image: If the closing price is higher than the three Fibonacci EMAs (uptrend): Thanks to @ZenAndTheArtOfTrading and his indicator "Higher Timeframe EMA", URL = This is a trend-discriminating indicator that uses 3 EMAs. The Williams Alligator is the underlying philosophy, and we have applied it to capture the larger trend. It is set up for the...
Hello I would like to introduce a very simple strategy that uses a combination of 3 simple moving averages ( SMA 4 , SMA 9 , SMA 18 ) this is a classic combination showing the most probable trend directions Crosses were marked on the basis of the color of the candles (bulish cross - blue / bearish cross - maroon) ma 100 was used to determine the main trend,...
▋ INTRODUCTION : A “Fibonacci Levels on Any Indicator” can be applied to any indicator to draw Fibonacci levels based on provided conditions of two price points to produce a sequence of horizontal line levels starting from 0% to 100% in addition to extension levels. The 0% level is measured as the start of retracement, while the 100% level is the beginning of the...
Plots support/resistance lines based on a neutral signal (white portion) of the Rail Line (variable moving average) for a period of time designated by the user (defaults to 9 bars). Support/Resistance lines will be removed after a period of tests and can be determined by the user (defaults to 26). Support/Resistance is deemed not as important or strong after...
This is one of my favorite indicators I've developed. It measures the strength of an uptrend or a downtrend and produces signals for when that trend is weakening. From my time trading I have learned that moving averages are not good signals to determine trend changes, because they are lagging indicators. However, we can use a moving average system - and the rates...
This is experimental moving average doesn't use a period/length but instead buffers the price per share and transfers that price per share at a given ratio per bar while also releasing the previous values at a decay ratio. The idea is that volume is the engine by which the price moves but spikes in volume can cause noise. By having a buffer of price per share...
Library "TurntLibrary" Collection of functions created for simplification/easy referencing. Includes variations of moving averages, length value oscillators, and a few other simple functions based upon HH/LL values. ma(source, length, type) Apply a moving average to a float value Parameters: source : Value to be used length : Number of bars to...
The Ghost Ninja Moving Average indicator contains three ema averages. These are ema 21, ema 55 and ema 233. The values of the averages appearing on the screen are adjusted according to their own lengths. If you want, you can change the settings from the "Numbers of bars back" setting. The 1st moving average (EMA-21) will follow the price and will disappear if the...
Hello everyone, I present my first script. In it I collect a group of fully configurable moving averages, both in color, value and selection of the ones we want to observe. The moving averages I collect are 3 of each of the following types: EMA: An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on...
This indicator displays a Rolling Moving Average Convergence Divergence . Contrary to MACD indicators which use a fix time segment, RMACD calculates using a moving window defined by a time period (not a simple number of bars), so it shows better results. This indicator is inspired by and use the Close & Inventory Bar Retracement Price Line to create an MACD in...
This is my Channel Surfing indicator. It fires Buy and Sell signals based on multiple conditions. You can use EMAs or LSMAs. You will have to check the box of which moving averages to use once you add it to the chart. It plots EMAs or LSMAs using the different sources Close, Low, and High as the channel to surf. It fires a Buy signal if price crosses the...
This is the Olympus Mons indicator. It uses Braid Filter, LSMA, and Hawkeye Volume to fire Buy and Sell signals. I use this on the 5 Min. SPY chart to play 1 point scalp targets with options. I have been able to get a pretty consistent win rate using it like this. The default settings are what I use. Hope it helps any of you guys. Let me know if you see any...
What is Nadaraya–Watson Regression? Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a...