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ค้นหาในสคริปต์สำหรับ "mtf"

[RichG] Easy MTF Strategy v1.1This is a second attempt at an easy to understand multiple time frame strategy. This one uses ATR for exits. If the position is long, and the price closes below the ATR multiplier, it triggers a close. If the position is short, and the price closes above the ATR/multiplier, it triggers a close. This generates a lot of little trades but is useful because it uses multiple time frames along with cutting losses when the ATR disagrees.
กลยุทธ์ Pine Script®
โดย RichGTastyTrader
7
MTF MACD 2 By YuthavithiIf you want a good strategy without repaint. This one might be for you. Excellent profitable for BTCUSD3M for OKCoin. It uses multiple time frame MACD for trading decision. To avoid repaint, set the delay period = 1 for both long term and midterm. The idea is that, if long term, mid term and current time frame all agree on traidng direction, the trade will take place. I also uses it in my automated trading bot with good result. www.tradingview.com
กลยุทธ์ Pine Script®
โดย yongyuth.rootwararit
8
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!
อินดิเคเตอร์ Pine Script®
โดย RagingRocketBull
7
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.
ไลบรารี Pine Script®
โดย no1x
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.
อินดิเคเตอร์ Pine Script®
โดย IP2290
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
อินดิเคเตอร์ Pine Script®
โดย Trader_Morry
3
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.
กลยุทธ์ Pine Script®
โดย skigoogs
4
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.
อินดิเคเตอร์ Pine Script®
โดย shinhasegawa
Session Volume Spike Detector (MTF Arrows)Overview The Session Volume Spike Detector is a precision multi-timeframe (MTF) tool that identifies sudden surges in buy or sell volume during key market windows. It highlights high-impact institutional participation by comparing current volume against its historical baseline and short-term highs, then plots directional markers on your chart. This version adds MTF awareness, showing spikes from 1-minute, 5-minute, and 10-minute frames on a single chart. It’s ideal for traders monitoring microstructure shifts across multiple time compressions while staying on a fast chart (like 1-second or 1-minute). Key Features Dual Session Windows (DST-aware) Automatically tracks Morning (05:30–08:30 MT) and Midday (11:00–13:30 MT) activity, adjusted for daylight savings. Directional Spike Detection Flags Buy spikes (green triangles) and Sell spikes (magenta triangles) using dynamic volume gates, Z-Score normalization, and recent-bar jump filters. Multi-Timeframe Projection Displays higher-timeframe (1m / 5m / 10m) spikes directly on your active chart for continuous visual context — even on sub-minute intervals. Adaptive Volume Logic Each spike is validated against: Volume ≥ SMA × multiplier Volume ≥ recent-high × jump factor Optional Z-Score threshold for statistical significance Session-Only Filtering Ensures spikes are only plotted within specified trading sessions — ideal for futures or intraday equity traders. Configurable Alerts Built-in alert conditions for: Any timeframe (MTF aggregate) Individual 1m, 5m, or 10m windows Alerts trigger only when a new qualifying spike appears at the close of its bar. Use Cases Detect algorithmic or institutional activity bursts inside your trading window. Track confluence of volume surges across multiple timeframes. Combine with FVGs, bank levels, or range breakouts to identify probable continuation or reversal zones. Build custom automation or alert workflows around statistically unusual participation spikes. Recommended Settings Use on 1-minute chart for full MTF display. Adjust the SMA length (default 20) and Z-Score threshold (default 3.0) to suit market volatility. For scalping or high-frequency environments, disable the 10m layer to reduce visual clutter. Credits Developed by Jason Hyde © 2025 — All rights reserved. Designed for clarity, precision, and MTF-synchronized institutional volume detection.
อินดิเคเตอร์ Pine Script®
โดย JasonHyde
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.
อินดิเคเตอร์ Pine Script®
โดย TechnoBlooms
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!
อินดิเคเตอร์ Pine Script®
โดย Mereep01
10
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
อินดิเคเตอร์ Pine Script®
โดย babtrader24
1
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.
อินดิเคเตอร์ Pine Script®
โดย Madpuppy88
1
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
อินดิเคเตอร์ Pine Script®
โดย Debis03
10
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
อินดิเคเตอร์ Pine Script®
โดย RozaniGhani-RG
7
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
อินดิเคเตอร์ Pine Script®
โดย RafaelZioni
17
Performance-based Asset Weighting(MTF)**Performance-Based Asset Weighting (MTF/Symbol Free Setting)** #### Overview This indicator is a tool that visualizes the relative strength of performance (price change rate) as “weight (allocation ratio)” for **four user-defined stocks**. By setting any specified past point in time as the baseline (where all symbols are equally weighted at 25%), it aims to provide an intuitive understanding of which symbols outperformed others and attracted capital, or underperformed and saw capital outflows. **【Default Settings and Application Scenario: Pension Fund Rebalancing Analysis】** The default settings reference the basic portfolio of Japan's Government Pension Investment Fund (GPIF), configuring four major asset classes: domestic equities, foreign equities, domestic bonds, and foreign bonds. It is known that when market fluctuations cause deviations from this equal-weighted ratio, rebalancing occurs to restore the original ratio (selling assets whose weight has increased and buying assets whose weight has decreased). Analyzing using this default setting can serve as a reference point for considering **“whether rebalancing sales (or purchases) by pension funds and similar entities are likely to occur in the future.”** **【Important: Usage Notes】** The weights shown by this indicator are **theoretical reference values** calculated solely based on performance from the specified start date. Even if large investors conduct significant rebalancing (asset buying/selling) during the period, those transactions themselves are not reflected in this chart's calculations. Therefore, please understand that the actual portfolio ratios may differ. **Use this solely as a rough guideline. ** #### Key Features * **Freely configure the 4 assets for analysis:** You can freely set any 4 assets (stocks, indices, currencies, cryptocurrencies, etc.) you wish to compare via the settings screen. * **Performance-based weight calculation:** Rather than simple price composition ratios, it calculates each asset's price change since the specified start date as a “performance index” and displays each asset's proportion of the total sum. * **Freely set analysis start date:** You can set any desired starting point for analysis, such as “after the XX shock” or “after earnings announcements,” using the calendar. * **Multi-Timeframe (MTF) Support:** Independently of the timeframe displayed on the chart, you can freely select the timeframe (e.g., 1-hour, 4-hour, daily) used by the indicator for calculations. #### Calculation Principle This indicator calculates weights in the following three steps: 1. **Obtaining the Base Price** Obtain the closing price for each of the four stocks on the user-set “Start Date for Weight Calculation.” This becomes the **base price** for analysis. 2. **Calculating the Performance Index** Divide the current price of each stock by the **base price** obtained in Step 1 to calculate the “Performance Index”. `Performance Index = Current Price ÷ Base Date Price` This quantifies how many times the current performance has increased compared to the base date performance, which is set to “1”. 3. **Calculating Weights** Sum the “Performance Indexes” of the four stocks. Then, calculate the percentage contribution of each stock's Performance Index to this total sum and plot it on the chart. `Weight (%) = (Individual Performance Index ÷ Total Performance Index of 4 Stocks) × 100` Using this logic, on the analysis start date, all stocks' performance indices are set to “1”, so the weights start equally at 25%. #### Usage * **Application Example 1: Market Sentiment Analysis (Using Default Settings)** Analyze using the default asset classes. By observing the relative strength between “Equities” and “Bonds”, you can assess whether the market is risk-on or risk-off. * **Application Example 2: Sector/Theme Strength Analysis** Configure settings for groups like “Top 4 semiconductor stocks” or “4 GAFAM stocks.” Setting the start date to the beginning of the year or earnings season allows you to instantly compare which stocks within the same sector are performing best. * **Application Example 3: Cryptocurrency Power Map Analysis** By setting major cryptocurrencies like “BTC, ETH, SOL, ADA,” you can analyze which currencies are attracting market capital. **【About Legend Display】** Due to Pine Script specification constraints, the legend on the chart will display fixed names: **“Stock 1” to “Stock 4”. ** Please note that the symbol you entered for “Symbol 1” in the settings corresponds to the “Symbol 1” line on the chart. #### Settings * **Symbol 1 to Symbol 4:** Set the four symbols you wish to analyze. * **Timeframe for Calculation:** Select the timeframe the indicator references when calculating weights. * **Start Date for Weight Calculation:** This serves as the base date for comparing performance. #### Disclaimer This script is solely a tool to assist with market analysis and does not recommend buying or selling any specific financial instruments. Please make all final investment decisions at your own discretion. ------------------------------------------------------------------------------------------------------------------- **Performance-based Asset Weighting（MTF・シンボル自由設定）** #### 概要 このインジケーターは、**ユーザーが自由に設定した4つの銘柄**について、パフォーマンス（騰落率）の相対的な強さを「ウェイト（構成比率）」として可視化するツールです。 指定した過去の任意の時点を基準（全銘柄が均等な25%）として、そこからどの銘柄のパフォーマンスが他の銘柄を上回り、資金が向かっているのか、あるいは下回っているのかを直感的に把握することを目的としています。 **【デフォルト設定と活用シナリオ：年金基金のリバランス考察】** デフォルト設定では、日本の年金積立金管理運用独立行政法人（GPIF）の基本ポートフォリオを参考に、主要4資産クラス（国内株式, 外国株式, 国内債券, 外国債券）が設定されています。市場の変動によってこの均等な比率に乖離が生じると、元の比率に戻すためのリバランス（比率が増えた資産を売り、減った資産を買う）が行われることが知られています。 このデフォルト設定で分析することで、**「今後、年金基金などによるリバランスの売り（買い）が発生する可能性があるか」を考察するための、一つの目安として利用できます。** **【重要：利用上の注意点】** このインジケーターが示すウェイトは、あくまで指定した開始日からのパフォーマンスのみを基に算出した**理論上の参考値**です。実際に大口投資家などが途中で大規模なリバランス（資産の売買）を行ったとしても、その取引自体はこのチャートの計算には反映されません。 そのため、実際のポートフォリオ比率とは異なる可能性があることをご理解の上、**あくまで大まかな目安としてご活用ください。** #### 主な特徴 * **分析対象の4銘柄を自由に設定可能:** 設定画面から、比較したい4つの銘柄（株式、指数、為替、仮想通貨など）を自由に設定できます。 * **パフォーマンス基準のウェイト計算:** 単純な価格の構成比ではなく、指定した開始日からの各銘柄の騰落を「パフォーマンス指数」として算出し、その合計に占める各銘柄の割合を表示します。 * **分析開始日の自由な設定:** 「〇〇ショック後」「決算発表後」など、分析したい任意の時点をカレンダーから設定できます。 * **マルチタイムフレーム（MTF）対応:** チャートに表示している時間足とは別に、インジケーターが計算に使う時間足（1時間足、4時間足、日足など）を自由に選択できます。 #### 計算の原理 このインジケーターは、以下の3ステップでウェイトを算出しています。 1.  **基準価格の取得**     ユーザーが設定した「ウェイト計算の開始日」における、4つの各銘柄の終値を取得し、これを分析の**基準価格**とします。 2.  **パフォーマンス指数の算出**     現在の各銘柄の価格を、ステップ1で取得した**基準価格**で割ることで、「パフォーマンス指数」を算出します。     `パフォーマンス指数 = 現在の価格 ÷ 基準日の価格`     これにより、基準日のパフォーマンスを「1」とした場合、現在のパフォーマンスが何倍になっているかが数値化されます。 3.  **ウェイトの算出**     4つの銘柄の「パフォーマンス指数」の合計値を算出します。そして、合計値に占める各銘柄のパフォーマンス指数の割合（%）を計算し、チャートに描画します。     `ウェイト (%) = (個別のパフォーマンス指数 ÷ 4銘柄のパフォーマンス指数の合計) × 100` このロジックにより、分析開始日には全銘柄のパフォーマンス指数が「1」となるため、ウェイトは均等に25%からスタートします。 #### 使用方法 * **応用例1：市場のセンチメント分析（デフォルト設定利用）**     デフォルト設定の資産クラスで分析し、「株式」と「債券」の力関係を見ることで、市場がリスクオンなのかリスクオフなのかを判断する材料になります。 * **応用例2：セクター・テーマ別の強弱分析**     設定画面で、例えば「半導体関連の主要4銘柄」や「GAFAMの4銘柄」などを設定します。開始日を年初や決算時期に設定することで、同セクター内でどの銘柄が最もパフォーマンスが良いかを一目で比較できます。 * **応用例3：仮想通貨の勢力図分析**     「BTC, ETH, SOL, ADA」など、主要な仮想通貨を設定することで、市場の資金がどの通貨に向かっているのかを分析できます。 **【凡例の表示について】** Pine Scriptの仕様上の制約により、チャート上の凡例は**「銘柄1」〜「銘柄4」という固定名で表示されます。** お手数ですが、設定画面でご自身が「銘柄1」に入力したシンボルが、チャート上の「銘柄1」のラインに対応する、という形でご覧ください。 #### 設定項目 * **銘柄1〜銘柄4:** 分析したい4つのシンボルをそれぞれ設定します。 * **計算に使う時間足:** インジケーターがウェイトを計算する際に参照する時間足を選択します。 * **ウェイト計算の開始日:** パフォーマンスを比較する上での基準日となります。 #### 免責事項 このスクリプトはあくまで市場分析を補助するためのツールであり、特定の金融商品の売買を推奨するものではありません。投資の最終的な判断は、ご自身の責任において行ってください。
อินดิเคเตอร์ Pine Script®
โดย na-gi
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.
อินดิเคเตอร์ Pine Script®
โดย schacherj959