ML Moving Average for MT5

The Machine Learning Moving Average (MLMA) is a responsive moving average making use of the weighting function obtained Gaussian Process Regression method. Characteristic such as responsiveness and smoothness can be adjusted by the user from the settings.

The moving average also includes bands, used to highlight possible reversals.

🔶 USAGE

Figure 2

The Machine Learning Moving Average smooths out noisy variations from the price, directly estimating the underlying trend in the price.

Figure 3

The moving average color is determined according to the estimated trend direction based on the bands described below, shifting to blue (default) in an uptrend and fushia (default) in downtrends.

Figure 4

The upper and lower extremities represent the range within which price movements likely fluctuate.

Signals are generated when the price crosses above or below the band extremities, with turning points being highlighted by colored circles on the chart.

🔶 SETTINGS

  • Length of MA
  • Multiplicative Factor: Adjusts the upper and lower extremity bounds, with higher values widening the bands and lowering the amount of returned turning points.
  • Notifications setting


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The liquidity swings indicator highlights swing areas with existent trading activity. The number of times price revisited a swing area is highlighted by a zone delimiting the swing areas. Additionally, the accumulated volume within swing areas is highlighted by labels on the chart. An option to filter out swing areas with volume/counts not reaching a user-set threshold is also included. This indicator by its very nature is not real-time and is meant for descriptive analysis alongside other com
The Breaker Blocks with Signals indicator aims to highlight a complete methodology based on breaker blocks. Breakout signals between the price and breaker blocks are highlighted and premium/discount swing levels are included to provide potential take profit/stop loss levels. This script also includes alerts for each signal highlighted.   SETTINGS   Breaker Blocks Length: Sensitivity of the detected swings used to construct breaker blocks. Higher values will return longer term break
OVERVIEW K-means is a clustering algorithm commonly used in machine learning to group data points into distinct clusters based on their similarities. While K-means is not typically used directly for identifying support and resistance levels in financial markets, it can serve as a tool in a broader analysis approach. Support and resistance levels are price levels in financial markets where the price tends to react or reverse. Support is a level where the price tends to stop falling and m
All about Smart Money Concepts Strategy: Market struture: internal or swing BOS, CHoCH; Orderblock; Liquity equal; Fair Value Gap with Consequent encroachment, Balanced price range; Level with Previous month, week, day level or in day level (PMH, PWH, PDH, HOD); BuySell Stops Liquidity (BSL, SSL); Liquidity Void Long Wicks; Premium and Discount; Candle pattern ... "Smart Money Concepts" ( SMC ) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate
The indicator   returning pivot point based trendlines with highlighted breakouts . Trendline caculated by pivot point and other clue are ATR, Stdev.   The indicator also includes integrated alerts for  trendlines  breakouts   and foward message to Telegram channel or group if you want. Settings ·            Lookback bar: Default 200 is number of bar caculate when init indicator. ·            Length:  Pivot points  period ·            Slope Calculation Method: Determines how this lope is calcula
This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category. //------------------------------------// Version 1.x has missing functions + PDAr
The Breaker Blocks with Signals indicator aims to highlight a complete methodology based on breaker blocks. Breakout signals between the price and breaker blocks are highlighted and premium/discount swing levels are included to provide potential take profit/stop loss levels. This script also includes alerts for each signal highlighted.   SETTINGS   Breaker Blocks Length: Sensitivity of the detected swings used to construct breaker blocks. Higher values will return longer term break
The ICT Concepts indicator regroups core concepts highlighted by trader and educator "The Inner Circle Trader" (ICT) into an all-in-one toolkit. Features include Market Structure (MSS & BOS), Order Blocks, Imbalances, Buyside/Sellside Liquidity, Displacements, ICT Killzones, and New Week/Day Opening Gaps. It’s one kind of Smart money concepts.   USAGE:   Please read this   document  !      DETAILS Market Structure Market structure labels are constructed from price breaking a prior extreme
The FollowLine indicator is a trend following indicator. The blue/red lines are activated when the price closes above the upper Bollinger band or below the lower one. Once the trigger of the trend direction is made, the FollowLine will be placed at High or Low (depending of the trend). An ATR filter can be selected to place the line at a more distance level than the normal mode settled at candles Highs/Lows. Some features: + Trend detech + Reversal signal + Alert teminar / mobile app
The ICT Silver Bullet indicator is inspired from the lectures of "The Inner Circle Trader" (ICT) and highlights the Silver Bullet (SB) window which is a specific 1-hour interval where a Fair Value Gap (FVG) pattern can be formed. A detail document about ICT Silver Bullet here . There are 3 different Silver Bullet windows (New York local time): The London Open Silver Bullet (3 AM — 4 AM ~ 03:00 — 04:00) The AM Session Silver Bullet (10 AM — 11 AM ~ 10:00 — 11:00) The PM Session Silver Bullet (2
Sessions by Lux
Minh Truong Pham
This indicator shows when user set sessions are active and returns various tools + metrics using the closing price within active sessions as an input. Users have the option to change up to 4 session times. The indicator will increasingly lack accuracy when the chart timeframe is higher than 1 hour. Settings Sessions Enable Session: Allows to enable or disable all associated elements with a specific user set session. Session Time: Opening and closing times of the user set session in the  
The liquidity swings indicator highlights swing areas with existent trading activity. The number of times price revisited a swing area is highlighted by a zone delimiting the swing areas. Additionally, the accumulated volume within swing areas is highlighted by labels on the chart. An option to filter out swing areas with volume/counts not reaching a user-set threshold is also included. This indicator by its very nature is not real-time and is meant for descriptive analysis alongside other com
The SuperTrend AI indicator is a novel take on bridging the gap between the K-means clustering machine learning method & technical indicators. In this case, we apply K-Means clustering to the famous SuperTrend indicator.   USAGE Users can interpret the SuperTrend AI trailing stop similarly to the regular SuperTrend indicator. Using higher minimum/maximum factors will return longer-term signals. (image 1) The displayed performance metrics displayed on each signal allow for a deeper interpretat
OVERVIEW A Lorentzian Distance Classifier (LDC) is a Machine Learning classification algorithm capable of categorizing historical data from a multi-dimensional feature space. This indicator demonstrates how Lorentzian Classification can also be used to predict the direction of future price movements when used as the distance metric for a novel implementation of an Approximate Nearest Neighbors (ANN) algorithm. This indicator provide signal as buffer, so very easy for create EA from this indi
An Implied Fair Value Gap (IFVG) is a three candles imbalance formation conceptualized by ICT that is based on detecting a larger candle body & then measuring the average between the two adjacent candle shadows. This indicator automatically detects this imbalance formation on your charts and can be extended by a user set number of bars. The IFVG average can also be extended until a new respective IFVG is detected, serving as a support/resistance line. Alerts for the detection of bullish/be
Consolidation is when price is moving inside a clear trading range. When prices are consolidated it shows the market maker placing orders on both sides of the market. This is mainly due to manipulate the un informed money. This indicator automatically identifies consolidation zones and plots them on the chart. The method of determining consolidation zones is based on pivot points and ATR, ensuring precise identification. The indicator also sends alert notifications to users when a new consolida
This indicator provides the ability to recognize the SMC pattern, essentially a condensed version of the Wyckoff model. Once the pattern is confirmed by RTO, it represents a significant investment opportunity.    There are numerous indicators related to SMC beyond the market, but this is the first indicator to leverage patterns to identify specific actions of BigBoy to  navigate the market. Upgrade 2024-03-08: Add TP by RR feature. The SMC (Smart Money Concept)   pattern   is a market analysis m
Created by imjesstwoone and mickey1984, this trade model attempts to capture the expansion from the 10:00-14:00 EST 4h candle using just 3 simple steps. All of the information presented in this description has been outlined by its creators, all I did was translate it to MQL4. All core settings of the trade model may be edited so that users can test several variations, however this description will cover its default, intended behavior using NQ 5m as an example. Step 1 is to identify our Price Ra
The Buyside & Sellside Liquidity indicator aims to detect & highlight the first and arguably most important concept within the ICT trading methodology,   Liquidity   levels. SETTINGS Liquidity Levels Detection Length: Lookback period Margin: Sets margin/sensitivity for a liquidity level detection Liquidity Zones Buyside Liquidity Zones: Enables display of the buyside liquidity zones. Margin: Sets margin/sensitivity for the liquidity zone boundaries. Color: Color option for buysid
The   Liquidation Estimates (Real-Time)   experimental indicator attempts to highlight real-time long and short liquidations on all timeframes. Here with liquidations, we refer to the process of forcibly closing a trader's position in the market. By analyzing liquidation data, traders can gauge market sentiment, identify potential support and resistance levels, identify potential trend reversals, and make informed decisions about entry and exit points. USAGE (Img 1)    Liquidation refers
The   ICT Unicorn Model   indicator highlights the presence of "unicorn" patterns on the user's chart which is derived from the lectures of   "The Inner Circle Trader" (ICT) . Detected patterns are followed by targets with a distance controlled by the user.   USAGE (image 2) At its core, the ICT Unicorn Model relies on two popular concepts, Fair Value Gaps and Breaker Blocks. This combination highlights a future area of support/resistance. A   Bullish Unicorn Pattern   consists out of:
The Inversion Fair Value Gaps (IFVG) indicator is based on the inversion FVG concept by ICT and provides support and resistance zones based on mitigated Fair Value Gaps (FVGs). Image 1   USAGE Once mitigation of an FVG occurs, we detect the zone as an "Inverted FVG". This would now be looked upon for potential support or resistance. Mitigation occurs when the price closes above or below the FVG area in the opposite direction of its bias. (Image 2) Inverted Bullish FVGs Turn into Potenti
Overview The   Volume SuperTrend AI   is an advanced technical indicator used to predict trends in price movements by utilizing a combination of traditional SuperTrend calculation and AI techniques, particularly the k-nearest neighbors (KNN) algorithm. The Volume SuperTrend AI is designed to provide traders with insights into potential market trends, using both volume-weighted moving averages (VWMA) and the k-nearest neighbors (KNN) algorithm. By combining these approaches, the indicator
Introducing the Reversal and Breakout Signals   This innovative tool is crafted to enhance your chart analysis by identifying potential reversal and breakout opportunities directly on your charts. It's designed with both novice and experienced traders in mind, providing intuitive visual cues for better decision-making. Let's dive into the key features and how it operates: ###   Key Features:   Dynamic Period Settings:   Customize the sensitivity of the indicator with user-def
Introduction One of the patterns in "RTM" is the "QM" pattern, also known as "Quasimodo". Its name is derived from the appearance of "Hunchback of Notre-Dame" from Victor Hugo's novel. It is a type of "Head and Shoulders" pattern.   Formation Method   Upward Trend In an upward trend, the left shoulder is formed, and the price creates a new peak higher than the left shoulder peak . After a decline, it manages to break the previous low and move upward again. We expect the price to
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