Multi SMA EMA WMA HMA BB (4x3 MAs Bollinger Bands) Pro MTF - RRBMulti SMA EMA WMA HMA 4x3 Moving Averages with Bollinger Bands Pro MTF by RagingRocketBull 2018
Version 1.0
This indicator shows multiple MAs of any type SMA EMA WMA HMA etc with BB and MTF support, can show MAs as dynamically moving levels.
There are 4 MA groups + 1 BB group. You can assign any type/timeframe combo to a group, for example:
- EMAs 50,100,200 x H1, H4, D1, W1 (4 TFs x 3 MAs x 1 type)
- EMAs 8,13,21,55,100,200 x M15, H1 (2 TFs x 6 MAs x 1 type)
- D1 EMAs and SMAs 12,26,50,100,200,400 (1 TF x 6 MAs x 2 types)
- H1 WMAs 7,77,231; H4 HMAs 50,100,200; D1 EMAs 144,169,233; W1 SMAs 50,100,200 (4 TFs x 3 MAs x 4 types)
- +1 extra MA type/timeframe for BB
compile time: 25-30 sec
full redraw time after parameter change in UI: 3 sec
There are several versions: Simple, MTF, Pro MTF, Advanced MTF and Ultimate MTF. This is the Pro MTF version. The Differences are listed below. All versions have BB
- Simple: you have 2 groups of MAs that can be assigned any type (5+5)
- MTF: +2 custom Timeframes for each group (2x5 MTF)
- Pro MTF: +4 custom Timeframes for each group (4x3 MTF), MA levels and show max bars back options
- Advanced MTF: +2 extra MAs/group (4x5 MTF), custom Ticker/Symbol, backreferences for type, TF and MA lengths in UI
- Ultimate MTF: +individual settings for each MA, custom Ticker/Symbols
Features:
- 4x3 = 12 MAs of any type including Hull Moving Average (HMA)
- 4x MTF groups with step line smoothing
- BB +1 extra TF/type for BB MAs
- 12 MA levels with adjustable group offsets, indents and shift
- show max bars back
- you can show/hide both groups of MAs/levels and individual MAs
Notes:
1. based on 3EmaBB, uses plot*, barssince and security functions
2. you can't set certain constants from input due to Pinescript limitations - change the code as needed, recompile and use as a private version
3. Levels = trackprice implementation
4. Show Max Bars Back = show_last implementation
5. uses timeframe textbox instead of input resolution to allow for 120 240 and other custom TFs. Also supports TFs in hours: 2H or H2
6. swma has a fixed length = 4, alma and linreg have additional offset and smoothing params
7. Smoothing is applied by default for visual aesthetics on MTF. To use exact ma mtf values (lines with stair stepping) - disable it
MTF Notes:
- uses simple timeframe textbox instead of input resolution dropdown to allow for 120, 240 and other custom TFs, also supports timeframes in H: 2H, H2
- Groups that are not assigned a Custom TF will use Current Timeframe (0).
- MTF will work for any MA type assigned to the group
- MTF works both ways: you can display a higher TF MA/BB on a lower TF or a lower TF MA/BB on a higher TF.
- MTF MA values are normally aligned at the boundary of their native timeframe. This produces stair stepping when a higher TF MA is viewed on a lower TF.
Therefore X Y Point Density/Smoothing is applied by default on MA MTF for visual aesthetics. Set both to 0 to disable and see exact ma mtf values (lines with stair stepping and original mtf alignment).
- Smoothing is disabled for BB MTF bands because fill doesn't work with smoothed MAs after duplicate values are replaced with na.
- MTF MA Value fluctuation is possible on the current bar due to default security lookahead
Smoothing:
- X,Y == 0 - X,Y smoothing disabled (stair stepping on high TFs)
- X == 0, Y > 0 - X,Y smoothing applied to all TFs
- Y == 0, X > 0 - X smoothing applied to all TFs < deltaX_max_tf, Y smoothing disabled
- X > 0, Y > 0 - Y smoothing applied to all TFs, then X smoothing applied to all TFs < deltaX_max_tf
X Smoothing with Y == 0 - shows only every deltaX-th point starting from the first bar.
X Smoothing with Y > 0 - shows only every deltaX-th point starting from the last shown Y point, essentially filling huge gaps remaining after Y Smoothing with points and preserving the curve's general shape
X Smoothing on high TFs with already scarce points produces weird curve shapes, it works best only on high density lower TFs
Y Smoothing reduces points on all TFs, removes adjacent points with prices within deltaY, while preserving the smaller curve details.
A combination of X,Y produces the most accurate smoothing. Higher delta value - larger range, more points removed.
Show Max Bars Back:
- can't set plot show_last from input -> implemented using a timenow based range check
- you can't delete/modify history once plotted, so essentially it just sets a start point for plotting (from num_bars bars back) that works only in realtime mode (not in replay)
Levels:
You can plot current MA value using plot trackprice=true or by checking Show Price Line in Style. Problem is:
- you can only change color (not the dashed line style, width), have both ma + price line (not just the line), and it's full screen wide
- you can't set plot trackprice from input => implemented using plotshape/plotchar with fixed text labels serving as levels
- there's no other way of creating a dynamic level: hline, plot, offset - nothing else works.
- you can't plot a text var - all text strings must be constants, so you can't change the style, width and text labels without recompiling.
- from input you can only adjust offset, indent and shift for each level group, and change color
- the dot below each level line is the exact MA value. If you want just the line swap plotshape with plotchar, recompile and save as your private version, adjust Y shift.
To speed up redraw times: reduce last_bars to ~2000, recompile and use as your own private version
Pinescript is a rudimentary language (should be called Painscript instead) that can basically only plot data. You can't do much else. Please see the code for tips and hints.
Certain things just can't be done or require shady workarounds and weeks of testing trying to resolve weird node.js compiler errors.
Feel free to learn from/reuse/change the code as needed and use as your own private version. See comments in code. Good Luck!
Cari dalam skrip untuk "mtf"
FvgCalculations█ OVERVIEW
This library provides the core calculation engine for identifying Fair Value Gaps (FVGs) across different timeframes and for processing their interaction with price. It includes functions to detect FVGs on both the current chart and higher timeframes, as well as to check for their full or partial mitigation.
█ CONCEPTS
The library's primary functions revolve around the concept of Fair Value Gaps and their lifecycle.
Fair Value Gap (FVG) Identification
An FVG, or imbalance, represents a price range where buying or selling pressure was significant enough to cause a rapid price movement, leaving an "inefficiency" in the market. This library identifies FVGs based on three-bar patterns:
Bullish FVG: Forms when the low of the current bar (bar 3) is higher than the high of the bar two periods prior (bar 1). The FVG is the space between the high of bar 1 and the low of bar 3.
Bearish FVG: Forms when the high of the current bar (bar 3) is lower than the low of the bar two periods prior (bar 1). The FVG is the space between the low of bar 1 and the high of bar 3.
The library provides distinct functions for detecting FVGs on the current (Low Timeframe - LTF) and specified higher timeframes (Medium Timeframe - MTF / High Timeframe - HTF).
FVG Mitigation
Mitigation refers to price revisiting an FVG.
Full Mitigation: An FVG is considered fully mitigated when price completely closes the gap. For a bullish FVG, this occurs if the current low price moves below or touches the FVG's bottom. For a bearish FVG, it occurs if the current high price moves above or touches the FVG's top.
Partial Mitigation (Entry/Fill): An FVG is partially mitigated when price enters the FVG's range but does not fully close it. The library tracks the extent of this fill. For a bullish FVG, if the current low price enters the FVG from above, that low becomes the new effective top of the remaining FVG. For a bearish FVG, if the current high price enters the FVG from below, that high becomes the new effective bottom of the remaining FVG.
FVG Interaction
This refers to any instance where the current bar's price range (high to low) touches or crosses into the currently unfilled portion of an active (visible and not fully mitigated) FVG.
Multi-Timeframe Data Acquisition
To detect FVGs on higher timeframes, specific historical bar data (high, low, and time of bars at indices and relative to the higher timeframe's last completed bar) is required. The requestMultiTFBarData function is designed to fetch this data efficiently.
█ CALCULATIONS AND USE
The functions in this library are typically used in a sequence to manage FVGs:
1. Data Retrieval (for MTF/HTF FVGs):
Call requestMultiTFBarData() with the desired higher timeframe string (e.g., "60", "D").
This returns a tuple of htfHigh1, htfLow1, htfTime1, htfHigh3, htfLow3, htfTime3.
2. FVG Detection:
For LTF FVGs: Call detectFvg() on each confirmed bar. It uses high , low, low , and high along with barstate.isconfirmed.
For MTF/HTF FVGs: Call detectMultiTFFvg() using the data obtained from requestMultiTFBarData().
Both detection functions return an fvgObject (defined in FvgTypes) if an FVG is found, otherwise na. They also can classify FVGs as "Large Volume" (LV) if classifyLV is true and the FVG size (top - bottom) relative to the tfAtr (Average True Range of the respective timeframe) meets the lvAtrMultiplier.
3. FVG State Updates (on each new bar for existing FVGs):
First, check for overall price interaction using fvgInteractionCheck(). This function determines if the current bar's high/low has touched or entered the FVG's currentTop or currentBottom.
If interaction occurs and the FVG is not already mitigated:
Call checkMitigation() to determine if the FVG has been fully mitigated by the current bar's currentHigh and currentLow. If true, the FVG's isMitigated status is updated.
If not fully mitigated, call checkPartialMitigation() to see if the price has further entered the FVG. This function returns the newLevel to which the FVG has been filled (e.g., currentLow for a bullish FVG, currentHigh for bearish). This newLevel is then used to update the FVG's currentTop or currentBottom.
The calling script (e.g., fvgMain.c) is responsible for storing and managing the array of fvgObject instances and passing them to these update functions.
█ NOTES
Bar State for LTF Detection: The detectFvg() function relies on barstate.isconfirmed to ensure FVG detection is based on closed bars, preventing FVGs from being detected prematurely on the currently forming bar.
Higher Timeframe Data (lookahead): The requestMultiTFBarData() function uses lookahead = barmerge.lookahead_on. This means it can access historical data from the higher timeframe that corresponds to the current bar on the chart, even if the higher timeframe bar has not officially closed. This is standard for multi-timeframe analysis aiming to plot historical HTF data accurately on a lower timeframe chart.
Parameter Typing: Functions like detectMultiTFFvg and detectFvg infer the type for boolean (classifyLV) and numeric (lvAtrMultiplier) parameters passed from the main script, while explicitly typed series parameters (like htfHigh1, currentAtr) expect series data.
fvgObject Dependency: The FVG detection functions return fvgObject instances, and fvgInteractionCheck takes an fvgObject as a parameter. This UDT is defined in the FvgTypes library, making it a dependency for using FvgCalculations.
ATR for LV Classification: The tfAtr (for MTF/HTF) and currentAtr (for LTF) parameters are expected to be the Average True Range values for the respective timeframes. These are used, if classifyLV is enabled, to determine if an FVG's size qualifies it as a "Large Volume" FVG based on the lvAtrMultiplier.
MTF/HTF FVG Appearance Timing: When displaying FVGs from a higher timeframe (MTF/HTF) on a lower timeframe (LTF) chart, users might observe that the most recent MTF/HTF FVG appears one LTF bar later compared to its appearance on a native MTF/HTF chart. This is an expected behavior due to the detection mechanism in `detectMultiTFFvg`. This function uses historical bar data from the MTF/HTF (specifically, data equivalent to `HTF_bar ` and `HTF_bar `) to identify an FVG. Therefore, all three bars forming the FVG on the MTF/HTF must be fully closed and have shifted into these historical index positions relative to the `request.security` call from the LTF chart before the FVG can be detected and displayed on the LTF. This ensures that the MTF/HTF FVG is identified based on confirmed, closed bars from the higher timeframe.
█ EXPORTED FUNCTIONS
requestMultiTFBarData(timeframe)
Requests historical bar data for specific previous bars from a specified higher timeframe.
It fetches H , L , T (for the bar before last) and H , L , T (for the bar three periods prior)
from the requested timeframe.
This is typically used to identify FVG patterns on MTF/HTF.
Parameters:
timeframe (simple string) : The higher timeframe to request data from (e.g., "60" for 1-hour, "D" for Daily).
Returns: A tuple containing: .
- htfHigh1 (series float): High of the bar at index 1 (one bar before the last completed bar on timeframe).
- htfLow1 (series float): Low of the bar at index 1.
- htfTime1 (series int) : Time of the bar at index 1.
- htfHigh3 (series float): High of the bar at index 3 (three bars before the last completed bar on timeframe).
- htfLow3 (series float): Low of the bar at index 3.
- htfTime3 (series int) : Time of the bar at index 3.
detectMultiTFFvg(htfHigh1, htfLow1, htfTime1, htfHigh3, htfLow3, htfTime3, tfAtr, classifyLV, lvAtrMultiplier, tfType)
Detects a Fair Value Gap (FVG) on a higher timeframe (MTF/HTF) using pre-fetched bar data.
Parameters:
htfHigh1 (float) : High of the first relevant bar (typically high ) from the higher timeframe.
htfLow1 (float) : Low of the first relevant bar (typically low ) from the higher timeframe.
htfTime1 (int) : Time of the first relevant bar (typically time ) from the higher timeframe.
htfHigh3 (float) : High of the third relevant bar (typically high ) from the higher timeframe.
htfLow3 (float) : Low of the third relevant bar (typically low ) from the higher timeframe.
htfTime3 (int) : Time of the third relevant bar (typically time ) from the higher timeframe.
tfAtr (float) : ATR value for the higher timeframe, used for Large Volume (LV) FVG classification.
classifyLV (bool) : If true, FVGs will be assessed to see if they qualify as Large Volume.
lvAtrMultiplier (float) : The ATR multiplier used to define if an FVG is Large Volume.
tfType (series tfType enum from no1x/FvgTypes/1) : The timeframe type (e.g., types.tfType.MTF, types.tfType.HTF) of the FVG being detected.
Returns: An fvgObject instance if an FVG is detected, otherwise na.
detectFvg(classifyLV, lvAtrMultiplier, currentAtr)
Detects a Fair Value Gap (FVG) on the current (LTF - Low Timeframe) chart.
Parameters:
classifyLV (bool) : If true, FVGs will be assessed to see if they qualify as Large Volume.
lvAtrMultiplier (float) : The ATR multiplier used to define if an FVG is Large Volume.
currentAtr (float) : ATR value for the current timeframe, used for LV FVG classification.
Returns: An fvgObject instance if an FVG is detected, otherwise na.
checkMitigation(isBullish, fvgTop, fvgBottom, currentHigh, currentLow)
Checks if an FVG has been fully mitigated by the current bar's price action.
Parameters:
isBullish (bool) : True if the FVG being checked is bullish, false if bearish.
fvgTop (float) : The top price level of the FVG.
fvgBottom (float) : The bottom price level of the FVG.
currentHigh (float) : The high price of the current bar.
currentLow (float) : The low price of the current bar.
Returns: True if the FVG is considered fully mitigated, false otherwise.
checkPartialMitigation(isBullish, currentBoxTop, currentBoxBottom, currentHigh, currentLow)
Checks for partial mitigation of an FVG by the current bar's price action.
It determines if the price has entered the FVG and returns the new fill level.
Parameters:
isBullish (bool) : True if the FVG being checked is bullish, false if bearish.
currentBoxTop (float) : The current top of the FVG box (this might have been adjusted by previous partial fills).
currentBoxBottom (float) : The current bottom of the FVG box (similarly, might be adjusted).
currentHigh (float) : The high price of the current bar.
currentLow (float) : The low price of the current bar.
Returns: The new price level to which the FVG has been filled (e.g., currentLow for a bullish FVG).
Returns na if no new partial fill occurred on this bar.
fvgInteractionCheck(fvg, highVal, lowVal)
Checks if the current bar's price interacts with the given FVG.
Interaction means the price touches or crosses into the FVG's
current (possibly partially filled) range.
Parameters:
fvg (fvgObject type from no1x/FvgTypes/1) : The FVG object to check.
Its isMitigated, isVisible, isBullish, currentTop, and currentBottom fields are used.
highVal (float) : The high price of the current bar.
lowVal (float) : The low price of the current bar.
Returns: True if price interacts with the FVG, false otherwise.
Stochastic RSI with MTF TableShort Description of the Script
The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers.
Key features of the script include:
Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20).
MTF Table: A table displays the Stochastic RSI status for each timeframe:
"OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise.
Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D).
Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity.
Table Position: Configurable to appear in one of four chart corners (default: top-right).
This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points.
Trading Strategy with 50EMA and 200EMA for Highest Winning Rate
To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy:
1. Determine the Overall Trend
Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross."
Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross."
Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions.
2. Identify Entry Signals Using the Stochastic RSI MTF Table
In a Bullish Trend (50EMA > 200EMA):
Look for timeframes in the MTF table showing:
Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound.
Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point.
Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal.
In a Bearish Trend (50EMA < 200EMA):
Look for timeframes in the MTF table showing:
Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward.
Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry.
Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal.
Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade).
3. Confirm Signals Across Multiple Timeframes
Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance:
Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal.
Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal.
Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability.
4. Set Stop-Loss and Take-Profit Levels
Long Trades (Bullish):
Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals.
Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance.
Short Trades (Bearish):
Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer.
Take-Profit: Target a key support level or apply a similar risk-reward ratio.
Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits.
5. Risk Management
Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals.
Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto).
Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups.
Example Scenario
Chart: 60-minute timeframe.
Trend: 50EMA > 200EMA (bullish).
MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N."
Action: Enter a long position when the 60m K line crosses above D, confirming the table signal.
Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry).
Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio.
Outcome: High probability of success due to trend alignment and multi-timeframe confirmation.
Why This Strategy Works
Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum.
Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing.
Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate.
Risk Control: Defined stop-loss and position sizing protect against inevitable losses.
Caveats
No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets.
Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe.
This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
3 Line Strike MTF [MsF]Japanese below / 日本語説明は英文の後にあります。
-------------------------
*This indicator is based on TheTrdFloor's "3 Line Strike ". It's a very cool indicator. thank you.
In addition to the original indicator, it will be judged Engulfing only when the display of the MTF signal and the candle have a difference of 2 times or more.
=== Function description ===
1. Display of the MTF signal
Detects Engulfing of the specified Multi Time Frame. MTF Engulfing is displayed with 🍆 and 🍑.
2. Judged Engulfing on a difference of 2 times or more
Show a signal if the body of the current candle is more than twice as large as the body of the previous candle. This will make the signal mark appear larger than normal.
=== Parameter description ===
- COMMON SETTING
- Show Signal on MTF ? … If the check this, you can get MTF 3 Line Strike
- Judge Double Engulfing ? … If you check it, the signal will come up only when the Engulfing has doubled or more.
- 3 LINE STRIKE
- Show Bearish 3 Line Strike … The Bearish 3 Line Strike (3LS-Bear) is a candlestick pattern comprised of 3 bullish (green) candles, followed by a bearish engulfing candle (see 'Big A$$ Candles' below). This pattern tends to be best used as a signal of the end of a retracement period as part of a trend continuation strategy. Default: Checked
- Show Bullish 3 Line Strike … The Bullish 3 Line Strike (3LS-Bull) is a candlestick pattern comprised of 3 bearish (red) candles, followed by a bullish engulfing candle (see 'Big A$$ Candles' below). This pattern tends to be best used as a signal of the end of a retracement period as part of a trend continuation strategy. Default: Checked
- BIG A$$ CANDLES
- Show Bearish Big A$$ Candles … Bearish 'Big A$$ Candles' are the same as Bearish Engulfing candles.
- Show Bullish Big A$$ Candles … Bullish 'Big A$$ Candles' are the same as Bullish Engulfing candles.
-------------------------
本来のインジケーターに、①MTFシグナルの表示と②ローソク足の表示に2倍以上の差がある場合のみ包み足の判定を追加しました。
=== 機能説明 ===
1. MTFシグナルの表示
指定された時間足の包み足を検出します。 🍆 と 🍑 で表示されます。
2. 2倍以上の差で包み足判定
現在のローソクの実体が前のローソクの実体よりも 2 倍以上大きい場合にシグナルを表示します。マークは通常よりも大きく表示されます。
=== パラメータの説明 ===
- COMMON SETTING
- Show Signal on MTF ? … MTFシグナルを表示します
- Judge Double Engulfing ? … 包み足が前の足の2倍以上になった場合のみシグナルを発報します
- 3 LINE STRIKE
- Show Bearish 3 Line Strike … 陰線が3連続続いた後の包み足を検出します
- Show Bullish 3 Line Strike … 陽線が3連続続いた後の包み足を検出します
- BIG A$$ CANDLES
- Show Bearish Big A$$ Candles … 陽線の包み足を検出します
- Show Bullish Big A$$ Candles … 陰線の包み足を検出します
MACD Enhanced Strategy MTF with Stop Loss [LTB]Test strategy for MACD
This strategy, named "MACD Enhanced Strategy MTF with Stop Loss ," is a modified Moving Average Convergence Divergence (MACD) strategy with enhancements such as multi-timeframe (MTF) analysis, custom scoring, and a dynamic stop loss mechanism. Let’s break down how to effectively use it:
Key Elements of the Strategy
MACD Indicator with Modifications:
The strategy uses MACD, a well-known momentum indicator, with customizable parameters:
fastLength, slowLength, and signalLength represent the standard MACD settings.
Instead of relying solely on MACD crossovers, it introduces scoring parameters for histogram direction (histside), indicator direction (indiside), and signal cross (crossscore). This allows for a more nuanced decision-making process when determining buy and sell signals.
Multi-Timeframe Analysis (MTF):
The strategy compares the current timeframe's MACD score with that of a higher timeframe (HTF). It dynamically selects the higher timeframe based on the current timeframe. For example, if the current chart period is 1, it will select 5 as the higher timeframe.
This MTF approach aims to align trades with broader trends, filtering out false signals that could be present when analyzing only a single timeframe.
Scoring System:
A custom scoring system (count() function) is used to evaluate buy and sell signals. This includes calculations based on the direction and momentum of MACD (indi) and the histogram. The score is used to determine the strength of signals.
Positive scores indicate bullish sentiment, while negative scores indicate bearish sentiment.
This scoring mechanism aims to reduce the influence of noise and provide more reliable entries.
Entry Conditions:
Long Condition: When the Result value (a combination of MTF and current MACD analysis) changes and becomes positive, a long entry is triggered.
Short Condition: When the Result changes and becomes negative, a short entry is initiated.
Stop Loss Mechanism:
The countstop() function calculates dynamic stop loss values for both long and short trades. It is based on the Average True Range (ATR) multiplied by a factor (Mult), providing adaptive stop loss levels depending on market volatility.
The stop loss is plotted on the chart to show potential risk levels for open trades, with the line appearing only if shotsl is enabled.
How to Use the Strategy
To properly use the strategy, follow these steps:
Parameter Optimization:
Adjust the input parameters such as fastLength, slowLength, and signalLength to tune the MACD indicator to the specific asset you’re trading. The values provided are typical defaults, but optimizing these values based on backtesting can help improve performance.
Customize the scoring parameters (crossscore, indiside, histside) to balance how much weight you want to put on the direction, histogram, and cross events of the MACD indicator.
Select Appropriate Timeframes:
This strategy employs a multi-timeframe (MTF) approach, so it's important to understand how the higher timeframe (HTF) is selected based on the current timeframe. For instance, if you are trading on a 5-minute chart, the higher timeframe will be 15 minutes, which helps filter out lower timeframe noise.
Ensure you understand the relationship between the timeframe you’re using and the HTF it automatically selects. The strategy’s effectiveness can vary depending on how these timeframes align with the asset’s overall volatility.
Run Backtests:
Always backtest the strategy over historical data to determine its reliability for the asset and timeframes you’re interested in. Note that the MTF approach may require substantial data to capture how different timeframes interact.
Use the backtest results to adjust the scoring parameters or the Stop Loss Factor (Mult) for better risk management.
Stop Loss Usage:
The stop loss is calculated dynamically using ATR, which means that it adjusts with changing volatility. This can be useful to avoid being stopped out too often during periods of increased volatility.
The shotsl parameter can be set to true to visualize the stop loss line on the chart. This helps to monitor the protection level and make better decisions regarding holding or closing a trade manually.
Entry Signals and Trade Execution:
Look for changes in the Result value to determine entry points. For a long position, the Result needs to become positive, and for a short position, it must be negative.
Note that the strategy's entries are more conservative because it waits for the Result to confirm the direction using multiple factors, which helps filter out false breakouts.
Risk Management:
The adaptive stop loss mechanism reduces the risk by basing the stop level on market volatility. However, you must still consider additional risk management practices such as position sizing and profit targets.
Given the scoring mechanism, it might not enter trades frequently, which means using this strategy may result in fewer but potentially more accurate trades. It’s important to be patient and not force trades that don’t align with the calculated results.
Real-Time Monitoring:
Make sure to monitor trades actively. Since the strategy recalculates the score on each bar, real-time changes in the Result value could provide exit opportunities even if the stop loss isn't triggered.
Summary
The "MACD Enhanced Strategy MTF with Stop Loss " is a sophisticated version of the MACD strategy, enhanced with multi-timeframe analysis and adaptive stop loss. Properly using it involves optimizing MACD and scoring parameters, selecting suitable timeframes, and actively managing entries and exits based on a combination of scoring and volatility-based stop losses. Always conduct thorough backtesting before applying it in a live environment to ensure the strategy performs well on the asset you're trading.
Supertrend with ADX & MTF MA Filter# **Supertrend with ADX & MTF MA Filter - Comprehensive Explanation**
---
## **1. Purpose of This Indicator**
This indicator combines three powerful technical analysis tools to create a robust trading system:
✅ **Supertrend** (Trend-following)
✅ **ADX Filter** (Trend strength confirmation)
✅ **MTF MA Filter** (Multi-timeframe trend direction confirmation)
**Primary Goals:**
✔ **Identify high-probability trend reversals** with confirmation from multiple indicators
✔ **Filter out weak trends** using ADX (Average Directional Index)
✔ **Add higher timeframe context** with MTF (Multi-TimeFrame) Moving Average
✔ **Reduce false signals** by requiring confluence between all three components
---
## **2. Core Logic & Components**
### **A. Supertrend (Base Indicator)**
- **Calculation:**
```pine
up = hl2 - (Multiplier * ATR(Periods))
dn = hl2 + (Multiplier * ATR(Periods))
```
- **Bullish trend** when price > `up` (green line)
- **Bearish trend** when price < `dn` (red line)
- **Why Supertrend?**
- Simple yet effective trend-following system
- Adapts to volatility via ATR (Average True Range)
---
### **B. ADX Filter (Trend Strength Confirmation)**
- **ADX Calculation:**
```pine
= calcADX(adxLength, adxSmoothing)
strongTrend = adxVal >= adxThreshold
```
- **ADX > Threshold (Default: 20)** = Strong trend
- **DI+ > DI-** = Bullish momentum
- **DI- > DI+** = Bearish momentum
- **Why ADX?**
- Avoids trading in choppy markets (low ADX = weak trend)
- Confirms if Supertrend signals occur in a strong trend
---
### **C. MTF MA Filter (Higher Timeframe Trend Alignment)**
- **Moving Average Calculation:**
```pine
= getMA(maSource, maLength, maType, maTF)
```
- **MA Type:** SMA, EMA, WMA, or DEMA
- **Timeframe:** Any (1m, 5m, 1H, 4H, D, W, M)
- **Trend Direction:**
- **Buy Signal:** MA must be **rising**
- **Sell Signal:** MA must be **falling**
- **Why MTF MA?**
- Aligns trades with the **higher timeframe trend**
- Reduces counter-trend entries
---
## **3. How to Use This Indicator**
### **A. Buy Conditions (All Must Be True)**
1. **Supertrend turns bullish** (price crosses above `up` line)
2. **ADX ≥ Threshold** (trend is strong)
3. **Higher timeframe MA is rising** (confirms bullish bias)
### **B. Sell Conditions (All Must Be True)**
1. **Supertrend turns bearish** (price crosses below `dn` line)
2. **ADX ≥ Threshold** (trend is strong)
3. **Higher timeframe MA is falling** (confirms bearish bias)
### **C. Recommended Settings**
| Parameter | Recommended Value | Description |
|-----------|------------------|-------------|
| **ATR Period** | 14 | Sensitivity of Supertrend |
| **Multiplier** | 1.5-3.0 | Adjust for volatility |
| **ADX Threshold** | 20-25 | Higher = stricter trend filter |
| **MA Length** | 20-50 | Smoothness of trend filter |
| **MA Timeframe** | 1H/D | Align with trading style |
---
## **4. Trading Strategies**
### **A. Trend-Following Strategy**
- **Enter:** When all 3 conditions align (Supertrend + ADX + MA)
- **Exit:** When Supertrend flips or ADX drops below threshold
### **B. Pullback Strategy**
- **Wait for:**
- Supertrend in trend direction
- ADX remains strong
- MA still aligned
- **Enter:** On pullback to Supertrend line
### **C. Multi-Timeframe Confirmation**
- **Intraday traders:** Use 4H/D MA for trend bias
- **Swing traders:** Use D/W MA for trend bias
---
## **5. Advantages Over Standard Supertrend**
✔ **Fewer false signals** (ADX filters weak trends)
✔ **Higher timeframe alignment** (avoids trading against larger trends)
✔ **Customizable MA types** (SMA, EMA, WMA, DEMA)
✔ **Works on all markets** (stocks, forex, crypto)
---
### **Final Thoughts**
This indicator is designed for traders who want **high-confidence trend signals** by combining:
🔹 **Supertrend** (entry trigger)
🔹 **ADX** (trend strength filter)
🔹 **MTF MA** (higher timeframe trend alignment)
By requiring all three components to align, it significantly improves signal quality compared to standalone Supertrend systems.
**→ Best for:** Swing trading, trend-following, and avoiding choppy markets.
S&R Zones MTF (TechnoBlooms)S&R Zones MTF – Multi-Timeframe Support & Resistance Boxes
🔍 Overview
S&R Zones MTF is a professional-grade yet beginner-friendly indicator that dynamically plots Support & Resistance zones across multiple timeframes, helping traders recognize high-probability reversal areas, entry confirmations, and price reaction points.
This tool visualizes structured zones as colored boxes, allowing both new and experienced traders to analyze multi-timeframe confluence with ease and clarity.
🧠 What Is This Indicator?
S&R Zones MTF automatically detects the most significant support and resistance levels from up to four custom timeframes, using a configurable lookback period. These zones are displayed as colored horizontal boxes directly on the chart, making it easy to:
Spot where price has historically reacted
Identify potential reversal or breakout zones
Confirm entries with institutional-style precision
🛠️ Key Features
✅ Multi-Timeframe Zone Detection (up to 4 timeframes)
📦 Auto Plotted Boxes for Support (Blue) & Resistance (Pink)
🧱 Dynamic Height based on average price range or fixed input
🏷️ Timeframe Labels to instantly identify zone origin
🎛️ Customizable inputs: Lookback length, box color, height style
🔁 Real-time updates as price structure changes
🎓 Educational & Easy to Use
Whether you’re a new trader learning about price structure, or a professional applying institutional concepts, this tool offers an educational layout to understand:
How price respects historic zones
Why multi-timeframe zones offer stronger confluence
How to use zones for entry, exit, or risk placement
📈 How to Use (Multi-Timeframe Strategy)
Select Your Timeframes – Customize up to 4 higher timeframes (e.g., 1m, 5m, 15m, 1h).
Observe Overlapping Zones – When multiple timeframes agree, those zones are more significant.
Entry Confirmation – Wait for price to reach a zone, then look for reversal patterns (engulfing candle, pin bar, etc.)
Combine with Other Tools – Use alongside indicators like RSI, MACD, or Order Blocks for added confidence.
💡 Pro Tips
Zones from higher timeframes (1H, 4H) are often more powerful and reliable.
Confluence matters: If a 15m support zone aligns with a 1H support zone — that's a high-probability reaction area.
Use break-and-retest strategies with zone rejections for sniper entries.
Enable "Auto Height" for a more adaptive, volatility-based zone display.
🌟 Summary
S&R Zones MTF blends precision, clarity, and professional analysis into a visual structure that’s easy to understand. Whether you're learning support & resistance or optimizing your MTF edge — this tool will bring clarity to your charts and confidence to your trades.
Super MTF Clouds (4x3 Pairs)Overview:
This script is based on Ripster's MTF clouds, which transcends the standard moving average cloud indicator by offering a powerful and deeply customizable Multi-Timeframe (MTF) analysis. Instead of being limited to the moving averages of your current charts from the current timeframe, this tool allows you to project and visualize the trend and key support/resistance zones from up to 4 different timeframes simultaneously. User can input up to 6 different EMA values which will form 3 pairs of EMA clouds, for each of the timeframes.
The primary purpose is to provide traders with immediate confluence. By observing how price interacts with moving average clouds from higher timeframes (e.g., Hourly, Daily, Weekly), you can make more informed decisions on your active trading timeframe (e.g., 10 Minute). It's designed as a complete MTF Cloud toolkit, allowing you to display all necessary MTFs in a single script to build a comprehensive view of the market structure without having to flick to different timeframe to look for cloud positions.
Key features:
Four Independent Multi-Timeframe Slots: Each slot can be assigned any timeframe available on TradingView (e.g., D, W, M, 4H).
Three MA Pairs Per Timeframe: For each timeframe, configure up to three separate MA clouds (e.g., a 9/12 EMA pair, a 20/50 EMA pair, and a 100/200 SMA pair).
Complete Customisation: For every single moving average (24 in total), you can independently control:
MA Type: Choose between EMA or SMA.
Length: Any period you require.
Line Color: Full colour selection.
Line Thickness: Adjust the visual weight of each line.
Cloud Control: For every pair (12 in total), you can set the fill colour and transparency.
How To Use This Script:
This tool is best used for confirmation and context. Here are some practical strategies that one can adopt:
Trend Confluence: Before taking a trade based on a signal on your current timeframe, glance at the higher timeframe clouds. If you see a buy signal on the 15-minute chart and the price is currently trading above a thick, bullish Daily cloud, the probability of that trade succeeding is significantly higher. Conversely, shorting into strong HTF support is a low-probability trade.
Dynamic Support & Resistance: The edges of the higher timeframe clouds often act as powerful, dynamic levels of support and resistance. A pullback to the 4-Hour 50 EMA on your 15-minute chart can be a prime area to look for entries in the direction of the larger trend.
Gauging Market Regimes: Use the toggles in the settings to quickly switch between different views. You can have a "risk-on" view with short-term clouds and a "macro" view with weekly and monthly clouds. This helps you adapt your trading style to the current market conditions.
Key Settings:
1. Global Setting
Source For All MAs: This determines the price data point used for every single moving average calculation.
Default: hl2 (an average of the High and Low of each bar). This gives a smooth midpoint price.
Options: You can change this to Close (the most common method), Open, High, Low, or ohlc4 (an average of the open, high, low, and close), among others.
Recommendation: For most standard trend analysis, the default hl2 is the common choice.
2. The Timeframe Group Structure
The rest of the settings are organized into four identical, collapsible groups: "Timeframe 1 Settings" through "Timeframe 4 Settings". Each group acts as a self-contained control panel for one multi-timeframe view.
Within each timeframe group, you have two master controls:
Enable Timeframe: This is the main power switch for the entire group. Uncheck this box to instantly hide all three clouds and lines associated with this timeframe. This is perfect for quickly decluttering your chart or focusing on a different set of analyses.
Timeframe: This dropdown menu is the heart of the MTF feature. Here, you select the higher timeframe you want to analyse (e.g., 1D for Daily, 1W for Weekly, 4H for 4-Hour). All calculations for the three pairs within this group will be based on the timeframe you select here.
3. Pair-Specific Controls
Inside each timeframe group, there are three sections for "Pair 1", "Pair 2", and "Pair 3". These control each individual moving average cloud.
Enable Pair: Just like the master switch for the timeframe, this checkbox turns a single cloud and its two MA lines on or off.
For each pair, the settings are further broken down:
Moving Average Lines (A and B): These two rows control the two moving averages that form the cloud. 'A' is typically used for the shorter-period MA and 'B' for the longer-period one.
Type (A/B): A dropdown menu to select either EMA (Exponential Moving Average) or SMA (Simple Moving Average). EMAs react more quickly to recent price changes, while SMAs are smoother and react more slowly.
Length (A/B): The lookback period for the moving average (e.g., 21, 50, 200).
Color (A/B): Sets the specific colour of the MA line itself on your chart.
Cloud Fill Settings
Fill Color: This controls the colour of the shaded area (the "cloud") between the two moving average lines. For a consistent look, you can set this to the same colour as your shorter MA line.
Transparency: Controls how see-through the cloud is, on a scale of 0 to 100. 0 is a solid, opaque colour, while 100 is completely invisible. The default of 85 provides a light, "cloud-like" appearance that doesn't obscure the price action.
----------------------------------------------------------------------
If anything is not clear please let me know!
BG Ichimoku Tenkan MTFBG Ichimoku Tenkan MTF: Your Multi-Timeframe Trend Compass
Elevate your Ichimoku analysis with the BG Ichimoku Tenkan MTF indicator. This powerful tool provides a comprehensive view of the Tenkan-sen (Conversion Line) across multiple timeframes, helping you identify trends and potential shifts with greater clarity. It's ideal for all markets, including stocks, cryptocurrencies, Forex, and futures.
Key Features:
Main Tenkan-sen Plot: Visualize the Tenkan-sen for your active chart timeframe with adjustable color.
Multi-Timeframe Table: A dynamic table displays the Tenkan-sen's relationship to price (🔼 for above, 🔽 for below) and its current value for up to 7 timeframes.
Continuous MTF Lines: Plot the Tenkan-sen from higher timeframes directly on your current chart, providing clear support/resistance levels and trend confluence.
Fully Customizable Colors: Personalize the color for each individual timeframe in the table and for its corresponding MTF line, ensuring a clean and intuitive visual experience. You can also adjust the main Tenkan-sen color and the MTF line offset.
Gain a deeper understanding of market dynamics by analyzing the Tenkan-sen across different time scales, all in one intuitive indicator.
We created this indicator to help you better navigate the markets. Thank you for using it, and we hope it brings you value. Enjoy it in your daily analysis!
Bab
Heiken Ashi MTF Monitor - Better Formula - EMA, AMA, KAFA, T3Heiken Ashi MTF Monitor - Better Formula - EMA, AMA, KAFA, T3
This indicator is based on the works of Loxx & Smart_Money-Trader, without their initial codes, none of this will be possible.
This Pine Script indicator provides a multi-timeframe (MTF) analysis of Heiken Ashi trends, designed to enhance the traditional Heiken Ashi method with advanced smoothing techniques such as the Exponential Moving Average (EMA), Adaptive Moving Average (AMA), Kaufman’s Adaptive Moving Average (KAMA), and the Triple Exponential Moving Average (T3). The indicator offers a flexible approach to identify bullish, bearish, and neutral trends across six customizable timeframes and various Heiken Ashi calculation methods.
Key Features:
Multi-Timeframe (MTF) Support: The indicator allows you to monitor trends across six timeframes (e.g., 2-hour, 4-hour, daily, weekly, monthly), giving a holistic view of market conditions at different scales.
Heiken Ashi Calculation Methods: Choose between traditional Heiken Ashi or an enhanced "Better HA" method for more refined trend analysis.
Smoothing Options: Apply different smoothing techniques, including EMA, T3, KAMA, or AMA, to the Heiken Ashi values for smoother, more reliable trend signals.
Non-Repaint Option: This feature ensures that the values do not repaint after the bar closes, providing a more reliable historical view.
Customizable Plotting: The indicator offers full customization of which timeframes to display and whether to show labels for each timeframe.
Inputs and Settings:
Timeframe Inputs:
Users can set up to six different timeframes, ranging from intraday (2-hour, 4-hour) to higher timeframes (daily, weekly, monthly).
Timeframes can be enabled or disabled individually for each analysis.
Label Visibility:
Labels indicating the trend direction (bullish, bearish, neutral) can be shown for each timeframe. This helps with clarity when monitoring multiple timeframes simultaneously.
Smoothing Options:
EMA: Exponential Moving Average for standard smoothing.
AMA: Adaptive Moving Average, which adapts its smoothing based on market volatility.
KAMA: Kaufman’s Adaptive Moving Average, which adjusts its sensitivity to price fluctuations.
T3: Triple Exponential Moving Average, providing a smoother and more responsive moving average.
None: No smoothing applied (for raw Heiken Ashi calculations).
Non-Repaint Setting:
Enabling this ensures the trend values do not change after the bar closes, offering a stable historical view of trends.
Core Functions:
Heiken Ashi Calculations:
Traditional HA: The classic Heiken Ashi calculation is used here, where each bar's open, close, high, and low are computed based on the average price of the previous bar.
Better HA: A refined calculation method, where the raw Heiken Ashi close is adjusted by considering the price range. This smoother value is then optionally processed through a moving average function for further smoothing.
Heiken Ashi Trend Calculation:
Based on the selected Heiken Ashi method (Traditional or Better HA), the indicator checks whether the trend is bullish (upward movement), bearish (downward movement), or neutral (sideways movement).
For the "Better HA" method, the trend determination uses the difference between the smoothed Heiken Ashi close and open.
Moving Averages:
The moving averages applied to the Heiken Ashi values are configurable:
EMA: Standard smoothing with an exponential weighting.
T3: A triple exponential smoothing technique that provides a smoother moving average.
KAMA: An adaptive smoothing technique that adjusts to market noise.
AMA: An adaptive moving average that reacts to market volatility, making it more flexible.
None: For raw, unsmoothed Heiken Ashi data.
Trend Detection:
The indicator evaluates the direction of the trend for each timeframe and assigns a color-coded value (bearish, bullish, or neutral).
The trend values are plotted as circles, and their color reflects the detected trend: red for bearish, green for bullish, and white for neutral.
Multi-Timeframe (MTF) Support:
The indicator can be used to analyze up to six different timeframes simultaneously.
The trend for each timeframe is calculated and displayed as circles on the chart.
Users can enable or disable individual timeframes, allowing for a customizable view based on which timeframes they are interested in monitoring.
Plotting:
The indicator plots circles at specific levels based on the detected trend (Level 1 for the 2-hour timeframe, Level 2 for the 4-hour timeframe, etc.). The size and color of these circles represent the trend direction.
These plotted values provide a quick visual reference for trend direction across multiple timeframes.
Usage:
Trend Confirmation: By monitoring trends across multiple timeframes, traders can use this indicator to confirm trends and avoid false signals.
Customizable Timeframe Analysis: Traders can focus on shorter timeframes for intraday trades or look at longer timeframes for a broader market perspective.
Smoothing for Clarity: By applying various moving average techniques, traders can reduce noise and get a clearer view of the trend.
Non-Repainting: The non-repaint option ensures the indicator values remain consistent even after the bar closes, providing more reliable signals for backtesting or live trading.
This Heiken Ashi MTF Monitor indicator with better formulas and smoothing options is designed for traders who want to analyze trends across multiple timeframes while benefiting from advanced moving averages and more refined Heiken Ashi calculations. The customizable settings for smoothing, timeframe selection, and label visibility allow users to tailor the indicator to their specific needs and trading style.
Enhanced Pressure MTF ScreenerEnhanced Pressure Multi-Timeframe (MTF) Screener Indicator
Overview
The Enhanced Pressure MTF Screener is an add-on that extends the capabilities of the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis . It provides a clear and consolidated view of buy/sell pressure across multiple timeframes. This indicator allows traders to determine when different timeframes are synchronized in the same trend direction, which is particularly useful for making high-confidence trading decisions.
Image below: is the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis with the Enhanced Pressure MTF Screener indicator both active together.
Key Features
1.Multi-Timeframe Analysis
The indicator screens various predefined timeframes (from 1 week down to 10 minutes).
It offers a table view that shows buy or sell ratings for each timeframe, making it easy to see which timeframes are aligned.
Traders can choose which timeframes to include based on their trading strategies (e.g., higher timeframes for position trading, lower timeframes for scalping).
2.Pressure and Trend Calculation
Uses Buy and Sell Pressure calculations from the Enhanced Buy/Sell Pressure indicator to determine whether buying or selling is dominant in each timeframe.
By analyzing pressures on multiple timeframes, the indicator gives a comprehensive perspective of the current market sentiment.
The indicator calculates whether a move is strong based on user-defined thresholds, which are displayed in the form of additional signals.
3.Heikin Ashi Option
The Heikin Ashi candle type can be toggled on or off. Using Heikin Ashi helps smooth out market noise and provides a clearer indication of trend direction.
This is particularly helpful for traders who want to filter out market noise and focus on the primary trend.
4.Table Customization
Table Positioning: The table showing timeframe data can be positioned at different locations on the chart—top, middle, or bottom.
Text and Alignment: The alignment and text size of the table can be customized for better visual clarity.
Color Settings: Users can choose specific colors to indicate buying and selling pressure across timeframes, making it easy to interpret.
5.Strong Movement Indicators
The screener provides an additional visual cue (🔥) for timeframes where the movement is deemed strong, based on a user-defined threshold.
This helps highlight timeframes where significant buying or selling pressure is present, which could signal potential trading opportunities.
How the Screener Works
1.Pressure Calculation
For each selected timeframe, the indicator retrieves the Open, High, Low, and Close (OHLC) values.
It calculates buy pressure (the range between high and low when the closing price is higher than the opening) and sell pressure (the range between high and low when the closing price is equal to or lower than the opening).
The screener computes the pressure ratio, which represents the difference between buying and selling pressure, to determine which side is dominant.
2.Trend Rating and Signal Generation
Based on the calculated pressure, the screener determines a trend rating for each timeframe: "Buy," "Sell," or "Neutral." (▲ ,▼ or •)
Additionally, it generates a signal (▲ or ▼) to indicate the current trend direction and whether the move is strong (based on the user-defined threshold).
If the movement is strong, a fire icon (🔥) is added to indicate that there is significant pressure on that timeframe, signaling a higher confidence in the trend.
3.Customizable Strong Move Thresholds
Strong Move Threshold: The screener uses this value to decide whether a trend is significantly strong. A higher value makes it more selective in determining strong moves.
Strong Movement Threshold: Helps determine when an additional strong signal should be displayed, offering further insight into the strength of market movement.
Inputs and Customization
The Enhanced Pressure MTF Screener is highly customizable to fit the needs of individual traders:
General Settings:
Use Heikin Ashi: Toggle this setting to use Heikin Ashi for a smoother trend representation.
Strong Move Threshold: Defines how strong a move should be to be considered significant.
Strong Movement Threshold: Specifies the level of pressure required to highlight a move with the fire icon.
Table Settings:
Position: Choose the vertical position of the screener table (top, middle, or bottom of the chart).
Alignment: Align the table (left, center, or right) to best suit your chart layout.
Text Size: Adjust the text size in the table for better readability.
Table Color Settings:
Users can set different colors to represent buying and selling signals for better visual clarity, particularly when scanning multiple timeframes.
Timeframe Settings:
The screener provides options to include up to ten different timeframes. Traders can select and customize each timeframe to match their strategy.
Examples of available timeframes include 1 Week, 1 Day, 12 Hours, down to 10 Minutes, allowing for both broad and detailed analysis.
Practical Use Case
Identifying Trend Alignment Across Timeframes:
Imagine you are about to take a long trade but want to make sure that the trend direction is aligned across multiple timeframes.
The screener displays "Buy" ratings across the 4H, 1H, 30M, and 10M timeframes, while higher timeframes (like 1W and 1D) also show "Buy" with strong signals (🔥). This indicates that buying pressure is strong across the board, adding confidence to your trade.
Spotting Reversal Opportunities:
If a downtrend is evident across most timeframes but suddenly a higher timeframe, such as 12H, changes to "Buy" while showing a strong move (🔥), this could indicate a potential reversal.
The screener allows you to spot these discrepancies and consider taking early action.
Benefits for Traders
1.Synchronization Across Timeframes:
One of the main strengths of this screener is its ability to show synchronized buy/sell signals across different timeframes. This makes it easy to confirm the strength and consistency of a trend.
For example, if you see that all the selected timeframes display "Buy," this implies that both short-term and long-term traders are favoring the upside, giving additional confidence to go long.
2.Quick and Visual Trend Overview:
The table offers an at-a-glance summary, reducing the time required to manually inspect each timeframe.
This makes it particularly useful for traders who want to make quick decisions, such as day traders or scalpers.
3.Strong Move Indicator:
The use of fire icons (🔥) provides an easy way to identify significant movements. This is particularly helpful for traders looking for breakouts or strong market conditions that could lead to high probability trades.
To put it short or to summarize
The Enhanced Pressure MTF Screener is a powerful add-on for traders looking to understand how buy and sell pressure aligns across multiple timeframes. It offers:
A clear summary of buying or selling pressure across different timeframes.
Heikin Ashi smoothing, providing an option to reduce market noise.
Strong movement signals to highlight significant trading opportunities.
Customizable settings to fit any trading strategy or style.
The screener and the main indicator are best used together, as the screener provides the multi-timeframe overview, while the main indicator provides an in-depth look at each individual bar and trend.
I hope my indicator helps with your trading, if you guys have any ideas or questions there is the comment section :D
Regression Channel Alternative MTF V2█ OVERVIEW
This indicator is a predecessor to Regression Channel Alternative MTF , which is coded based on latest update of type, object and method.
█ IMPORTANT NOTES
This indicator is NOT true Multi Timeframe (MTF) but considered as Alternative MTF which calculate 100 bars for Primary MTF, can be refer from provided line helper.
The timeframe scenarios are defined based on Position, Swing and Intraday Trader.
Suppported Timeframe : W, D, 60, 15, 5 and 1.
Channel drawn based on regression calculation.
Angle channel is NOT supported.
█ INSPIRATIONS
These timeframe scenarios are defined based on Harmonic Trading : Volume Three written by Scott M Carney.
By applying channel on each timeframe, MW or ABCD patterns can be easily identified manually.
This can also be applied on other chart patterns.
█ CREDITS
Scott M Carney, Harmonic Trading : Volume Three (Reaction vs. Reversal)
█ TIMEFRAME EXPLAINED
Higher / Distal : The (next) longer or larger comparative timeframe after primary pattern has been identified.
Primary / Clear : Timeframe that possess the clearest pattern structure.
Lower / Proximate : The (next) shorter timeframe after primary pattern has been identified.
Lowest : Check primary timeframe as main reference.
█ FEATURES
Color is determined by trend or timeframe.
Some color is depends on chart contrast color.
Color is determined by trend or timeframe.
█ EXAMPLE OF USAGE / EXPLAINATION
Supertrend MTF LAG ISSUEThis script based on
we all use Super trend but it main issue is the lag as it buy too late or sell too late
using Deavaet study of Heat map MTF we can do a little trick
if you look on his study you can see that major signal for example will happen in the time frame before it happen at larger time frame
so in this example if signal at MTF 30 min and signal at MTF 60 min happen at the same time at 2 hours or 4 hours candles then this signal are more likely to be true then random signal at each time frame specific.
since we use shorter time frame on larger time frame we can remove the lag issue that make supertrend not so effective
In this example I set the signal to be MTF 30 +60 om 2 hour TF , can be good also for 4 hour candles..
So you get the signal to close inside the larger candle
now if you want to make on even shorter TF then change the code to 15 and 30 MTF on candles on 1 hour
or 1 and 5 min on 30 min or 15 min
Combo RSI + MACD + ADX MTF (Avec Alertes)✅ Recommended Title:
Multi-Signal Oscillator: ADX Trend + DI + RSI + MACD (MTF, Cross Alerts)
✅ Detailed Description
📝 Overview
This indicator combines advanced technical analysis tools to identify trend direction, capture reversals, and filter false signals.
It includes:
ADX (Multi-TimeFrame) for trend and trend strength detection.
DI+ / DI- for directional bias.
RSI + ZLSMA for oscillation analysis and divergence detection.
Zero-Lag Normalized MACD for momentum and entry timing.
⚙️ Visual Components
✅ Green/Red Background: Displays overall trend based on Multi-TimeFrame ADX.
✅ DI+ / DI- Lines: Green and red curves showing directional bias.
✅ Normalized RSI: Blue oscillator with orange ZLSMA smoothing.
✅ Zero-Lag MACD: Violet or fuchsia/orange oscillator depending on the version.
✅ Crossover Points: Colored circles marking buy and sell signals.
✅ ADX Strength Dots: Small black dots when ADX exceeds the strength threshold.
🚨 Included Alert System
✅ RSI / ZLSMA Crossovers (Buy / Sell).
✅ MACD / Signal Line Crossovers (Buy / Sell).
✅ DI+ / DI- Crossovers (Buy / Sell).
✅ Double Confirmation DI+ / RSI or DI+ / MACD.
✅ Double Confirmation DI- / RSI or DI- / MACD.
✅ Trend Change Alerts via Background Color.
✅ ADX Strength Alerts (Above Threshold).
🛠️ Suggested Configuration Examples
1. Short-Term Reversal Detection:
RSI Length: 7 to 14
ZLSMA Length: 7 to 14
MACD Fast/Slow: 5 / 13
ADX MTF Period: 5 to 15
ADX Threshold: 15 to 20
2. Long-Term Trend Following:
RSI Length: 21 to 30
ZLSMA Length: 21 to 30
MACD Fast/Slow: 12 / 26
ADX MTF Period: 30 to 50
ADX Threshold: 20 to 25
3. Scalping / Day Trading:
RSI Length: 5 to 9
ZLSMA Length: 5 to 9
MACD Fast/Slow: 3 / 7
ADX MTF Period: 5 to 10
ADX Threshold: 10 to 15
🎯 Why Use This Tool?
Filters false signals using ADX-based background coloring.
Provides multi-source alerting (RSI, MACD, ADX).
Helps identify true market strength zones.
Works on all markets: Forex, Crypto, Stocks, Indices.
Context MTF [Th16rry]Context MTF
A multi-timeframe trend context indicator that overlays an Exponential Moving Average (EMA) and a Weighted Moving Average (WMA) whose look-back periods adapt automatically to your chart’s timeframe. Inspired by Mike Bellafore and Brian Shannon (Multi timeframe analysis)
🔍 Overview
Context MTF helps you quickly gauge the prevailing trend and its strength by plotting two complementary moving averages in a single view:
* EMA (solid line) for smooth, responsive trend direction
* WMA (dotted line) for emphasis on recent price action
By automatically selecting period lengths that reflect meaningful market cycles, Context MTF provides intuitive context at a glance:
| Timeframe | Period | Market Cycle Represented |
| :--------: | :----: | :----------------------: |
| Daily (D) | 63 | Quarterly trend |
| Weekly (W) | 52 | Yearly trend |
| 1H (60) | 126 | Monthly trend |
| 15m (15) | 130 | Weekly trend |
| 5m (5) | 78 | Last 24 hours |
⚙️ How It Works
1. Automatic Period Selection
The script detects your chart’s timeframe and applies the appropriate look-back for both EMA and WMA.
2. Solid vs. Dotted
* EMA is drawn as a continuous solid line.
* WMA is rendered as a dotted line of the same color, highlighting short-term momentum within the broader trend.
3. Visual Trend Context
* Widening Gap : Indicates strengthening trend momentum.
* Convergence/Overlap : Suggests a market in consolidation or range.
🎯 Benefits
* Multi-Timeframe Context in a single pane—no need to switch charts.
* Instant trend strength assessment by comparing EMA vs. WMA divergence.
* Clear identification of range conditions when averages align.
* Fully automated period adjustment —set and forget.
⚙️ Settings
* Color : Shared color for both lines (default blue).
* Line Width : Adjustable via script inputs (default 2).
* Dotted WMA : Simulated using built-in dotted line styling for precise rendering.
Use Context MTF to enhance trend-based strategies, confirm breakout momentum, or filter ranging markets. Ideal for swing traders, day traders, and anyone who values clear, time-aligned trend information on every timeframe.
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator
🎯 Purpose of the Indicator
This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use:
Imbalance zones, order blocks, breaker blocks
Liquidity grabs
Multi-timeframe confirmation (MTF)
📈 How to Use the Signals on the Chart
✅ LONG Signal (green triangle below the candle):
Conditions:
Price is in a discount zone (below the FIB 50% level)
A bullish engulfing candle appears
A bullish Order Block (OB) or Breaker Block is detected
There’s an upward imbalance
A bullish OB is confirmed on the higher timeframe
➡️ How to act:
Consider entering long on the current or next candle.
Place your stop-loss below the OB or the nearest swing low.
Take profit at the nearest liquidity zone or premium area (above FIB 50%).
🔻 SHORT Signal (red triangle above the candle):
Conditions:
Price is in a premium zone (above FIB 50%)
A bearish engulfing candle appears
A bearish OB or Breaker Block is detected
There’s a downward imbalance
A bearish OB is confirmed on the higher timeframe
➡️ How to act:
Consider short entry after the signal.
Place your stop-loss above the OB or swing high.
Target the discount zone or the next liquidity pocket.
⚙️ Recommended Settings by Trading Style
Trading Style Suggested Settings Notes
Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing.
Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals.
Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades.
🧠 Best Practices for Traders
Trend Filtering:
Use EMAs or volume to confirm the current trend.
Take longs only in uptrends, shorts in downtrends.
Liquidity Zones:
Use this indicator after liquidity grabs.
OBs and Breakers often appear right after stop hunts.
Combine with Manual Zones:
This works best when paired with manually drawn OBs and key levels.
Backtest the Signals:
Use Bar Replay mode on TradingView to test past signals.
🧪 Example Trade Setup
Example on BTCUSDT 15m:
Price drops into the discount zone.
A green triangle appears (bullish engulfing + OB + imbalance + HTF OB).
You enter long, stop below the OB, target the premium zone.
🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate.
⏰ Alerts & Automation
Enable alerts:
"SMC Long Entry" — fires when a long signal appears.
"SMC Short Entry" — fires when a short signal appears.
You can integrate this with bots via webhook, like:
TradingConnector, 3Commas, Alertatron, etc.
✅ What This Indicator Gives You
High-probability entries using SMC logic
Customizable filters for entry logic
Multi-timeframe confirmation for stronger setups
Suitable for both intraday and swing trading
Austin MTF EMA Entry PointsAustin MTF EMA Entry Points
Overview
The Austin MTF EMA Entry Points is a custom TradingView indicator designed to assist traders in identifying high-probability entry points by combining multiple time frame (MTF) analysis. It leverages exponential moving averages (EMAs) from the daily, 1-hour, and 15-minute charts to generate buy and sell signals that align with the overall trend.
This indicator is ideal for traders who:
Want to trade in the direction of the broader daily trend.
Seek precise entry points on lower time frames (1H and 15M).
Prefer using EMAs as their main trend-following tool.
How It Works
Daily Trend Filter:
The indicator calculates the 50 EMA on the daily chart.
The daily EMA acts as the primary trend filter:
If the current price is above the daily 50 EMA, the trend is bullish.
If the current price is below the daily 50 EMA, the trend is bearish.
Lower Time Frame Entry Points:
The indicator calculates the 20 EMA on both the 1-hour (1H) and 15-minute (15M) time frames.
Buy and sell signals are generated when the price aligns with the trend on all three time frames:
Buy Signal: Price is above the daily 50 EMA and also above the 20 EMA on both the 1H and 15M charts.
Sell Signal: Price is below the daily 50 EMA and also below the 20 EMA on both the 1H and 15M charts.
Visual and Alert Features:
Plot Lines:
The daily 50 EMA is plotted in yellow for easy identification of the main trend.
The 20 EMA from the 1H chart is plotted in blue, and the 15M chart's EMA is in purple for comparison.
Buy/Sell Markers:
Green "Up" arrows appear for buy signals.
Red "Down" arrows appear for sell signals.
Alerts:
Alerts notify users when a buy or sell signal is triggered, making it easier to act on trading opportunities in real-time.
How to Use the Indicator
Identify the Main Trend:
Check the relationship between the price and the daily 50 EMA (yellow line):
Only look for buy signals if the price is above the daily 50 EMA.
Only look for sell signals if the price is below the daily 50 EMA.
Wait for Lower Time Frame Alignment:
For a valid signal, ensure that the price is also above or below the 20 EMA (blue and purple lines) on both the 1H and 15M time frames:
This alignment confirms short-term momentum in the same direction as the daily trend.
Act on Signals:
Use the arrows as visual cues for entry points:
Enter long trades on green "Up" arrows.
Enter short trades on red "Down" arrows.
The alerts will notify you of these signals, so you don’t have to monitor the chart constantly.
Exit Strategy:
Use your preferred stop-loss, take-profit, or trailing stop strategy.
You can also exit trades if the price crosses back below/above the daily 50 EMA, signaling a potential reversal.
Use Cases
Swing Traders: Use the daily trend filter to trade in the direction of the dominant trend, while using 1H and 15M signals to fine-tune entries.
Day Traders: Leverage the 1H and 15M time frames to capitalize on short-term momentum while respecting the broader daily trend.
Position Traders: Monitor the indicator to determine potential reversals or significant alignment across time frames.
Customizable Inputs
The indicator includes the following inputs:
Daily EMA Length: Default is 50. Adjust this to change the length of the trend filter EMA.
Lower Time Frame EMA Length: Default is 20. Adjust this to change the short-term EMA for the 1H and 15M charts.
Time Frames: Hardcoded to "D", "60", and "15", but you can modify the script for different time frames if needed.
Example Scenarios
Buy Signal:
Price is above the daily 50 EMA.
Price crosses above the 20 EMA on both the 1H and 15M time frames.
A green "Up" arrow is displayed, and an alert is triggered.
Sell Signal:
Price is below the daily 50 EMA.
Price crosses below the 20 EMA on both the 1H and 15M time frames.
A red "Down" arrow is displayed, and an alert is triggered.
Strengths and Limitations
Strengths:
Aligns trades with the higher time frame trend for increased probability.
Uses multiple time frame analysis to identify precise entry points.
Visual signals and alerts make it easy to use in real-time.
Limitations:
May produce fewer signals in choppy or ranging markets.
Requires discipline to avoid overtrading when conditions are unclear.
Lag in EMAs could result in late entries in fast-moving markets.
Final Notes
The Austin MTF EMA Entry Points indicator is a powerful tool for traders who value multiple time frame alignment and trend-following strategies. While it simplifies decision-making, it is always recommended to backtest and practice proper risk management before using it in live markets.
Try it out and make smarter, trend-aligned trades today! 🚀
Momentum Trend Fusion (MTF)The Momentum Trend Fusion (MTF) is a composite indicator that combines the Awesome Oscillator and the Relative Strength Index to provide a unique perspective on market momentum and trend strength. The MTF is calculated by first running the Relative Strength Index (RSI) on the Awesome Oscillator (AO) and then applying an Exponential Moving Average (EMA) on the RSI value. The MTF is designed to help traders detect market phases and confirm trend direction by analyzing the cross of the EMA and RSI, as well as divergences between the AO and price. The MTF can be customized by the user by providing the lengths of the RSI and EMA calculations, making it an ideal tool for traders with different time frames and risk tolerances.
Parabolic SAR Heikin Ashi MTF Candle ScalperThis is scalper strategy designed around parabolic sar indicator, where as an input candle value it uses the heikinashi from a higher timeframe.
This example has been adapted to SPY/SPX chart
In this case ,we are using a 5 min chart, but the calculations are made on a 15 min heikin ashi chart for the PSAR and then on 5 min chart we plot the results.
At the same time we are conditioning the entry to be base on a time/session for daytrading/scalper mentality
In this case we only enter within the first 30 min of SPY opening session , and then we exit after 3-4 hours of staying in the position ( unless we hit a reverse condition).
For long condition we enter when the mtf ha candle close is above the mtf psar and for short condition we enter when the mtf ha candle close is below the mtf psar
This script is made with an educational purpose to show the power of multiple time frame approach compared to a single chart.
If you have any questions, let me know !
WaveTrend mtfThis is based on Lazy Bear famous script of Wave trend
So in basic we do MTF on it
One can choose to use the signal of the MTF (circles red or green for buy and sell)
or the regular buy and sell by cross green /red
to the script one can add if it cross the 0 above or bellow (not done here)
the MTF is taken from pinescripter example how to avoid repainting , so it good also for using your indicator to make MTF scripts
alerts included
lazy weis MTFSo here was my problem and the way we fix it . We all know lazy bear weis model of volume . if we make it to MTF then we use security and it will repaint all over . since its hard to convert it to version 3 in order to fix the problem ,then it was impossible so far to make it a good MTF model.
By changing the length to time function we do not need to use the security and by this we can create an MTF model with no repaint ( i hope).
Now in setting you see int2 (now its on 60 min) , this you can change to any min value that you want. TV will consider it as length and not as time and by this way you can manipulate it to be an MTF model of your choosing . The int1 is minimum min always need to be smaller then int2
lets say you want 5 min chart and on 10 min time frame. so set it as int1=1 and int=15. if you want 45 min frame on the 5 min so set int 2 to 45
if you want it to be daily just set it to 1440 ,
I hope you like this solution
Two Poles Trend Finder MTF [BigBeluga]🔵 OVERVIEW
Two Poles Trend Finder MTF is a refined trend-following overlay that blends a two-pole Gaussian filter with a multi-timeframe dashboard. It provides a smooth view of price dynamics along with a clear summary of trend directions across multiple timeframes—perfect for traders seeking alignment between short and long-term momentum.
🔵 CONCEPTS
Two-Pole Filter: A smoothing algorithm that responds faster than traditional moving averages but avoids the noise of short-term fluctuations.
var float f = na
var float f_prev1 = na
var float f_prev2 = na
// Apply two-pole Gaussian filter
if bar_index >= 2
f := math.pow(alpha, 2) * source + 2 * (1 - alpha) * f_prev1 - math.pow(1 - alpha, 2) * f_prev2
else
f := source // Warm-up for first bars
// Shift state
f_prev2 := f_prev1
f_prev1 := f
Trend Detection Logic: Trend direction is determined by comparing the current filtered value with its value n bars ago (shifted comparison).
MTF Alignment Dashboard: Trends from 5 configurable timeframes are monitored and visualized as colored boxes:
• Green = Uptrend
• Magenta = Downtrend
Summary Arrow: An average trend score from all timeframes is used to plot an overall arrow next to the asset name.
🔵 FEATURES
Two-Pole Gaussian Filter offers ultra-smooth trend curves while maintaining responsiveness.
Multi-Timeframe Trend Detection:
• Default: 1H, 2H, 4H, 12H, 1D (fully customizable)
• Each timeframe is assessed independently using the same trend logic.
Visual Trend Dashboard positioned at the bottom-right of the chart with color-coded trend blocks.
Dynamic Summary Arrow shows overall market bias (🢁 / 🢃) based on majority of uptrends/downtrends.
Bold + wide trail plot for the filter value with gradient coloring based on directional bias.
🔵 HOW TO USE
Use the multi-timeframe dashboard to identify aligned trends across your preferred trading horizons.
Confirm trend strength or weakness by observing filter slope direction .
Look for dashboard consensus (e.g., 4 or more timeframes green] ) as confirmation for breakout, continuation, or trend reentry strategies.
Combine with volume or price structure to enhance entry timing.
🔵 CONCLUSION
Two Poles Trend Finder MTF delivers a clean and intuitive trend-following solution with built-in multi-timeframe awareness. Whether you’re trading intra-day or positioning for swing setups, this tool helps filter out market noise and keeps you focused on directional consensus.
AWR Pearsons R & LR Oscillator MTF1. Overview
This indicator is designed to analyze the correlation between a price series (or any custom indicator) and the bar index using Pearson’s correlation coefficient. It performs multiple linear regressions over shifted periods and then aggregates these results to create an oscillator. In addition, it integrates a multi-timeframe (MTF) analysis by retrieving the same calculations on 3 different time intervals, providing a more comprehensive view of the trend evolution.
2. User Parameters
The indicator offers several configurable parameters that allow the user to adjust both the calculations and the display:
Source (Linear Regression): The data source on which the regressions are applied (by default, the closing price).
Number of Linear Regressions (numOfLinReg): Allows choosing the number of correlation calculations (up to 10) to be carried out on different shifted periods.
Start Period (startPeriod) and Period Increment (periodIncrement): These parameters define the reference window for each regression. The calculation starts with a base period and then increases with each regression by a fixed increment, creating several time windows to assess the relationship between price evolution and time progression.
Deviation (def_deviation): Although defined, this parameter is intended to control the sensitivity of the calculations. It can be used in further developments of the indicator.
For Multi Time Frames analysis, three additional timeframes are provided through inputs in addition of the current period:
Sum up :
Timeframe 1 = current
Timeframe 2 = 30-minute (default settings)
Timeframe 3 = 1-hour (default settings)
Timeframe 4 = 4-hour (default settings)
These different timeframes allow you to obtain consistent or divergent signals over multiple resolutions, thereby enhancing the confidence of trading decisions.
3. Calculation Logic
At the core of the indicator is the f_calcConditions() function, which performs several essential tasks:
Calculating Pearson's Coefficients For each linear regression, the script uses ta.correlation() to measure the correlation between the chosen source (for example, the closing price) and the chronological index (bar_index). Up to 10 coefficients are computed over shifted windows, providing an evolving view of the linear relationship over different intervals.
Averaging the Results Once the coefficients are calculated, they are stored in an array and averaged to produce a global correlation value called avgPR_local.
Applying Moving Averages
The resulting average is then smoothed using several moving averages (SMA):
A short-term SMA (period of 14),
An intermediate SMA (period of 100),
A long-term SMA (period of 400).
These moving averages help to highlight the underlying trend of the oscillator by indicating the direction in which the correlation is moving.
Defining Trading Conditions Based on avgPR_local and its associated SMAs, multiple conditions are set to generate buy or sell signals:
Simple SMA Conditions :
Small signal :
Light blue below bar signal :
When the averaged coefficients lie between -1 and -0.63, are above the short-term SMA (14 periods), and are increasing, it may indicate a bullish dynamic (buy signal).
Orange above bar signal :
Conversely, when the value is higher (between 0.63 and 1) and below its SMA (14 periods), and are decreasing the trend is considered bearish (sell signal).
Medium signal :
Dark green signal
When the averaged coefficients lie between -1 and -0.45, are above the short-term SMA (14 periods), and are increasing, and also the average 100 is increasing. It may indicate a bullish dynamic (buy signal).
Light red signal :
Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 is decreasing. It may indicate a bearish dynamic(sell signal).
Light green signal :
When the averaged coefficients lie between -1 and -0.15, are above the short-term SMA (14 periods), and are increasing, and also the average 100 & 400 is increasing . It may indicate a bullish dynamic (buy signal).
Dark red signal :
Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 & 400 is decreasing. It may indicate a bearish dynamic(sell signal).
These additional conditions further refine the signals by verifying the consistency of the movement over longer periods. They check that the trends from the respective averages (intermediate and long-term) are in line with the direction indicated by the initial moving average.
These conditions are designed to capture moments when the oscillator's dynamics change, which can be interpreted as opportunities to enter or exit a trade.
4. Multi-Timeframes and Display
One of the main strengths of this indicator is its multi-timeframe approach.
This offers several advantages:
Comparative Analysis: Compare short-term dynamics with broader trends.
Enhanced Signal Reliability: A signal confirmed across multiple timeframes has a higher probability of success.
To visually highlight these signals on the chart, the indicator uses the plotchar() function with distinct symbols for each timeframe:
Current Timeframe: Signals are represented by the character "1"
30-Minute Timeframe: Displayed with the character "2".
1-Hour Timeframe: Displayed with the character "3".
4-Hour Timeframe: Displayed with the character "4".
The colors used are various shades of green for buy signals and shades of red/orange for sell signals, making it easy to distinguish between the different alerts.
5. Integrated Alerts
To avoid missing any trading opportunities, the indicator includes an alert condition via the alertcondition() function. This alert is triggered if any buy or sell signal is generated on any of the analyzed timeframes. The message "MTF valide" indicates that multiple timeframes are confirming the signal, enabling more informed decision-making.
6. How to Use This Indicator
Installation and Configuration: Copy the script into the TradingView Pine Script editor and add it to your chart. The default parameters can be tuned according to market behavior or personal preferences regarding sensitivity and responsiveness.
Interpreting the Signals:
Watch for the symbols on the chart corresponding to each timeframe.
A buy signal appears as a specific symbol below the bar (indicating a bullish condition based on a rising or less negative correlation), while a sell signal appears above the bar.
Multi-Timeframe Analysis: By comparing signals across timeframes, you can filter out false signals. For example, if the short-term timeframe shows a buy signal but the 4-hour timeframe indicates a bearish trend, you may need to reassess your position.
Adjusting the Settings: Depending on the asset type or market volatility, you might need to tweak the periods (startPeriod, periodIncrement) or the number of linear regressions to generate signals that better align with the price dynamics.
Using Alerts: Activate the built-in alert feature so that TradingView notifies you as soon as a multi-timeframe signal is detected. This ensures you stay informed even if you are not continuously monitoring the chart.
In Conclusion
The AWR Pearsons R & LR Oscillator MTF is a powerful tool for traders seeking a detailed understanding of market trends by combining statistical rigor (via Pearson's correlation coefficient) with a multi-timeframe approach. It is capable of generating clear entry and exit signals, visualized with specific symbols and colors depending on the timeframe. By adjusting the parameters to match your trading strategy and leveraging the alert system, you now have a robust instrument for making well-informed market decisions.
Feel free to dive deeper into each component and experiment with different configurations to see how the oscillator integrates with your overall technical analysis strategy. Enjoy exploring its potential and refining your trading approach!
