Multi Time Frame RSI PanelDescription:
The "Multi Time Frame RSI Panel" indicator is a powerful tool designed to help traders analyze the Relative Strength Index (RSI) across multiple timeframes simultaneously. While the core logic of this indicator is proprietary, this description aims to provide traders with an understanding of its functionality and utility.
Key Features:
Multi-Timeframe Analysis: This indicator displays RSI values for different timeframes, including 1 minute (1m), 5 minutes (5m), 15 minutes (15m), 30 minutes (30m), 1 hour (1h), 2 hours (2h), 4 hours (4h), and 1 day (1d). Traders can choose which timeframes to display on their chart based on their trading strategy.
Customizable Thresholds: Users can set upper and lower RSI thresholds for each timeframe, allowing for the identification of overbought and oversold conditions. The indicator highlights RSI values that breach these thresholds in green (for overbought) or red (for oversold), providing visual cues for potential trading opportunities.
How to Use:
1. Add the "Multi Time Frame RSI Panel" indicator to your TradingView chart.
2. Configure the settings by selecting the timeframes you want to monitor and setting your preferred RSI thresholds.
3. Monitor the RSI values for each selected timeframe in the panel located at the top right corner of your chart.
4. Look for potential trading signals based on RSI conditions, such as overbought or oversold levels, across different timeframes.
Multi
Multi Timeframe Indicator Signals [pAulseperformance]█ Concept:
In this TradingView Pine Script publication, we introduce a powerful tool that offers extensive capabilities for traders and analysts. With a focus on combining multiple indicators, analyzing various timeframes, and fine-tuning your trading strategies, this tool empowers you to make informed trading decisions.
█ Key Features:
1. Combining Multiple Rules with AND / OR Operations
• Example: You can combine the Relative Strength Index (RSI) with the Moving Average Convergence Divergence (MACD) by selecting the "AND" operation. This ensures that you only get a signal when both indicators generate signals. Alternatively, you can add custom indicators and select "OR" to create more complex strategies.
2. Selecting Multiple Indicators on Different Timeframes
• Analyze the same indicator on different timeframes to get a comprehensive view of market conditions.
3. Reversing Signals
• Reverse signals generated by indicators to adapt to various market conditions and strategies.
4. Extending Signals
• Extend signals by specifying conditions such as "RSI cross AND MA cross WITHIN 2 bars."
5. Feeding Results into Backtesting Engine
• Evaluate the performance of your strategies by feeding the results into a backtesting engine.
█ Available Indicators:
External Inputs
• Combine up to 4 custom indicators to assess their effectiveness individually and in combination with other indicators.
MACD (Moving Average Convergence Divergence)
• Analyze MACD signals across multiple timeframes and customize your strategies.
• Signal Generators:
• Signal 1: 🔼 (+1) MACD ⤯ MACD Signal Line 🔽 (-1) MACD ⤰ MACD Signal Line
• Signal 2: 🔼 (+1) MACD ⤯ 0 🔽 (-1) MACD ⤰ 0
• Filter 1: 🔼 (+1) MACD > 0 🔽 (-1) MACD < 0
RSI (Relative Strength Index)
• Utilize RSI signals with flexibility across different timeframes.
• Signal Generators:
• Signal 1: 🔼 (+1) RSI ⤯ Oversold 🔽 (-1) RSI ⤰ Overbought
• Signal 2: 🔼 (+1) RSI ⤰ Oversold 🔽 (-1) RSI ⤯ Overbought
• Filter 1: 🔼 (+1) RSI <= Oversold 🔽 (-1) RSI >= Overbought
MA1 and MA2 (Moving Averages)
• Choose from various types of moving averages and analyze them across multiple timeframes.
• Signal Generators:
• Filter 1: 🔼 (+1) Source Above MA 🔽 (-1) Source Below MA
• Filter 2: 🔼 (+1) MA Rising 🔽 (-1) MA Falling
• Signal 1: 🔼 (+1) Source ⤯ MA 🔽 (-1) Source ⤰ MA
Bollinger Bands
• Multi Time Frame
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ BBLower 🔽 (-1) Close ⤰ BBUpper
• Signal 2: 🔼 (+1) Close ⤰ BBLower 🔽 (-1) Close ⤯ BBUpper
Stochastics
• Customize your MTF Stochastics analysis between Normal Stochastic and Stochastic RSI.
• Signal Generators:
• Filter 1: 🔼 (+1) K < OS 🔽 (-1) K > OB
• Signal 1: 🔼 (+1) K ⤯ D 🔽 (-1) K ⤰ D
• Signal 2: 🔼 (+1) K ⤯ OS 🔽 (-1) K ⤰ OB
• Signal 3: 🔼🔽 Filter 1 And Signal 1
Ichimoku Cloud
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Komu Cloud 🔽 (-1) Close ⤰ Komu Cloud
• Signal 2: 🔼 (+1) Kumo Cloud Red -> Green 🔽 (-1) Kumo Cloud Green -> Red
• Signal 3: 🔼 (+1) Close ⤯ Kijun Sen 🔽 (-1) Close ⤰ Kijun Sen
• Signal 4: 🔼 (+1) Tenkan Sen ⤯ Kijun Sen 🔽 (-1) Tenkan Sen ⤰ Kijun Sen
SuperTrend
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Supertrend 🔽 (-1) Close ⤰ Supertrend
• Filter 1: 🔼 (+1) Close > Supertrend 🔽 (-1) Close < Supertrend
Support And Resistance
• Receive signals when support/resistance levels are breached.
Price Action
• Analyze price action across various timeframes.
• Signal Generators:
• Signal 1 (Bar Up/Dn): 🔼 (+1) Close > Open 🔽 (-1) Close < Open
• Signal 2 (Consecutive Up/Dn): 🔼 (+1) Close > Previous Close # 🔽 (-1) Close < Previous Close #
• Signal 3 (Gaps): 🔼 (+1) Open > Previous High 🔽 (-1) Open < Previous Low
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Unlock the full potential of these indicators and tools to enhance your trading strategies and improve your decision-making process. With over 10 indicators and more than 30 different ways to generate signals you can rapidly test combinations of popular indicators and their strategies with ease. If your interested in more indicators or I missed a strategy, leave a comment and I can add it in the next update.
Happy trading!
Sync Frame (MTF Charts) [Kioseff Trading]Hello!
This indicator "Sync Frame" displays various lower timeframe charts for the asset on your screen!
5 lower timeframe candle charts shown
Timeframes auto-calculated using the new timeframe.from_seconds() function
Heikin-Ashi candles available
Baseline chart type available
Dynamic Scaling for ease of use
User customizable timeframes
Simple script (:
The image above shows the baseline chart type.
Time image above shows a traditional candlestick chart.
The image above shows a hekin-ashi chart.
The image above shows the indicator when nearly zoomed in as much as possible. The lower timeframe charts adjust to my chart positioning.
The image above shows my screen fully zoomed out; the lower timeframe charts adjust in both height and width to accommodate my chart positioning!
Thank you for checking this out (:
[Holy] Candle BlocksThis experimental indicator overlays candles from higher timeframes directly onto your current chart. The concept of Candle Blocks aims to offer an intuitive way to view price action across multiple periods simultaneously.
FEATURES
Multiple Timeframe Support: Choose from various timeframes to overlay, such as hourly, daily, weekly, etc.
Customizable Opacity: Adjust the transparency of the overlay to ensure the primary chart remains visible.
Color Coding: The overlay uses distinct colors to indicate bullish and bearish candles from the higher timeframe.
Real-time Update: The overlay updates in real-time as new higher timeframe candles are formed.
USE CASES
Trend Confirmation: Validate the trend direction of your primary timeframe by examining higher timeframe Candle Blocks.
Support & Resistance: Identify key support and resistance levels more clearly by seeing them on multiple timeframes.
Fourth-Dimensional Decision Making: This indicator aims to move towards a 4th-dimensional trading perspective, where time is considered as a vector. This helps traders to always make decisions with multiple timeframes in mind.
EXPERIMENTAL
This indicator is in its experimental stage, and future updates will be made based on its effectiveness and the feedback received. If you find this concept useful or have suggestions for improvement, please provide feedback. This will aid in further development and refinement of the indicator.
Macd 6 timeframes ( include chart time with histogram) AboSary 15min, 1h, 4h, D, W, (chart time) + Histogram
All can be show or hide by you and change colors :)
ماكد يشمل 6 فواصل زمنية 15د، 1ساعة، 4ساعات, يوم، اسبوع بالاضافة الى مكاد للفاصل المستخدم بالشارت ايضاً هيستوغرام لنفس الفاصل المعروض في الشارت
مثال لو وضعت نصف ساعة تجد مكاد نص ساعة والهستوغرام كذلك نصف ساعة
جميع الخيارات يمكنك اغلاق اي منها وتغيير الوانها
Multi-Symbol Indicator Screener w/ Alert [TradingWhale]This screener allows to screen multiple (up to 40) symbols for a condition defined by the user, including some other indicator plot values (not all of them) and their relation to other indicator plot values (data sources) or to absolute values defined in the condition.
It plots a label and adds the symbols and chart time frames to the label for those symbols that meet the screening condition. There are some examples further below.
The indicator / screener is designed to use other indicators as a data source, where possible.
On the label the symbols represent stock symbols. The numbers represent the chart time frame in which the condition was screened. (30) = 30 minutes, (120) = 120 minutes, (D) = 1 day, (3D) = 3 days, (W) = 1 week, and so forth.
Requirements:
- the indicators you want to use as source data need to be on the same chart as the screener, but not in the same pane.
- It will not work for all 3rd-party indicators.
The script provides the specific capabilities detailed below:
1. Data inputs:
- add up to 40 symbols to be screened
- check field for each symbol allow the user to enable/disable screening for each symbol individually
- ability to add up to two (2) external source data that can be compared to each other, where possible, by a logical operator or compared to an absolute value
- a check field to select whether the logical operation takes places between Source #1 and Source #2 or between Source # 1 and an absolute value.
- users can also define how far from the last bar the label is plotted on the chart
2. Operations available, whenever possible based on source data:
- "crossing"
- "cross up"
- "cross down"
- "rejected from resistance (Source #1) in the last bar", which means "High was above Source #1 (resistance level) in the last completed bar and 'close' (current price of the symbol) is now below Source #1" (resistance level).
- "rejected from resistance (Source #1) in the last 2 bars", which means "High was above Source #1 (resistance level) in one of the last two (2) completed bars and 'close' (current price of the symbol) is now below Source #1" (resistance level).
- "rejected from support (Source #1) in the last bar" --- similar to above except with Lows and rejection from support level
- "rejected from support (Source #1) in the last 2 bars" --- similar to above except with Lows and rejection from support level
- "greater than"
- "less than"
- "is up"
- "is down"
- "is up %"
- "is down %"
Screening examples could be:
- Source #1 "crossed up" Source #2
- Source #1 is "greater than" 20
3. Output:
a. Label
The label can be modified in terms of colors and position (how many bars away from the last bar)
b. Alerts
- Get alerted if one or more symbols meet the condition.
- To set up the alert visit the alerts setup screen in TV and select this screener.
Consolidation Spotter Multi Time FrameThis tool is designed for traders looking to spot areas of consolidation on their charts across various time frames. It highlights these consolidation areas using visually appealing boxes, making it easier to identify potential breakout or breakdown zones.
How To Use:
Spotting Consolidation: When you see a box form on your chart, this represents a consolidation zone. Within this zone, the price is moving sideways without a strong upward or downward trend.
Anticipating Breakouts & Breakdowns: Watch the price as it approaches the edges of the box. A movement outside the box can signal a potential breakout (if above the box) or a breakdown (if below the box). This is where momentum shifts can happen.
Momentum Confirmation: Once the price clearly moves out of the box, it indicates a momentum shift. If the price moves upwards out of the box, this can be seen as bullish momentum. Conversely, if the price moves downwards out of the box, this can be seen as bearish momentum.
To use the tool effectively, adjust the settings to suit your trading style, choose your preferred visual theme, and watch as the script highlights key consolidation areas on your chart.
Tip: To visualize fractals, consider using multiple instances of the "Consolidation Spotter" indicator, each set to a different timeframe. This approach allows you to observe consolidations nested within larger consolidations, offering deeper insights into market structures. 😉
External Indicator Analysis Overlay | Buy/Sell | HTF Heikin-AshiThis chart overlay offers multiple candlestick display options. The Regular (Japanese) and the Heikin-Ashi candles are well known. The Mari-Ashi (or Renko) option is something special as it should be timeframe independent, so that sideways action should be represented in one candle. That is difficult to realize as an overlay on the normal candlestick structure, but perhaps the chosen implementation is useful nonetheless. The Velocity option is experimental and is designed to show if the price has accelerated too much in a trend direction. In this case, the highs and lows do not reflect the actual highs and lows, but indicate the overshooting velocity. The opening of the candle also depends on the inherent velocity, but the close of the candle is always the actual close. Anyway, it doesn't look very useful, but the option is there.
All options can be applied to higher timeframes. A usable setting is obtained by disabling only the body of the TradingView candles in regular mode and enabling this overlay.
A large part of this overlay consists of buy/sell indication settings. For activation it is necessary to select an external source. For example the “Relative Bi-Directional Volatility Range”, specifically the Trend Shift Signal (TSS). This signal switches from 0 to 1, if the trend becomes bullish or from 0 to -1, if the trend becomes bearish. It will be automatically detected without specifying the Indication Type. Alternatively, the Volatility Moving Average (VMA) would meet the requirements for the Indication Type “Buy = positive | Sell = negative”. The Moving Average Convergence Divergence (MACD) also fulfills these conditions. Another example is to use any Moving Average with the Indication Type “Buy = rising | Sell = falling”. In the chart above the Hull Moving Average (HMA) is used. In addition, it is possible to reverse the signal, so that positive signals become negative and vice versa. The signals will be labeled as Buy or Sell on the chart.
The user can analyze whether the provided signals are good or bad indications for going long or short or simply for rebalancing a portfolio. Therefore, it is possible to set a starting point for the analysis and choose a weighting for the investments from 0% to 100% of the portfolio. To avoid sleepless nights, a very reliable (and conservative) setting seems to be Rebalancing with 50% (very similar to the well-known 60/40 portfolio). The calculation results are shown in a table.
As a small addition there is the possibility to label the peaks by setting the distance between the highs/lows. This will make the quality of the buy and sell signals even more clear.
HighLowBox+220MAs[libHTF]HighLowBox+220MAs
This is a sample script of libHTF to use HTF values without request.security().
import nazomobile/libHTFwoRS/1
HTF candles are calculated internally using 'GMT+3' from current TF candles by libHTF .
To calcurate Higher TF candles, please display many past bars at first.
The advantage and disadvantage is that the data can be generated at the current TF granularity.
Although the signal can be displayed more sensitively, plots such as MAs are not smooth.
In this script, assigned ➊,➋,➌,➍ for htf1,htf2,htf3,htf4.
HTF candles
Draw candles for HTF1-4 on the right edge of the chart. 2 candles for each HTF.
They are updated with every current TF bar update.
Left edge of HTF candles is located at the x-postion latest bar_index + offset.
DMI HTF
ADX/+DI/DI arrows(8lines) are shown each timeframes range.
Current TF's is located at left side of the HighLowBox.
HTF's are located at HighLowBox of HTF candles.
The top of HighLowBox is 100, The bottom of HighLowBox is 0.
HighLowBox HTF
Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
In HTF, shows Fibonacci Level of the current price at latest box only.
Boxes:
1 for current timeframe.
4 for higher timeframes.(Steps of timeframe: 5, 15, 60, 240, D, W, M, 3M, 6M, Y)
HighLowBox TrendLine
Draw TrendLine for each HighLow Range. TrendLine is drawn between high and return high(or low and return low) of each HighLowBox.
Style of TrendLine is same as each HighLowBox.
HighLowBox RSI
RSI Signals are shown at the bottom(RSI<=30) or the top(RSI>=70) of HighLowBox in each timeframe.
RSI Signal is color coded by RSI9 and RSI14 in each timeframe.(current TF: ●, HTF1-4: ➊➋➌➍)
In case of RSI<=30, Location: bottom of the HighLowBox
white: only RSI9 is <=30
aqua: RSI9&RSI14; <=30 and RSI9RSI14
green: only RSI14 <=30
In case of RSI>=70, Location: top of the HighLowBox
white: only RSI9 is >=70
yellow: RSI9&RSI14; >=70 and RSI9>RSI14
orange: RSI9&RSI14; >=70 and RSI9=70
blue/green and orange/red could be a oversold/overbought sign.
20/200 MAs
Shows 20 and 200 MAs in each TFs(tfChart and 4 Higher).
TFs:
current TF
HTF1-4
MAs:
20SMA
20EMA
200SMA
200EMA
Greedy DCA█ OVERVIEW
Detect price crashes in volatile conditions. This is an indicator for a greedy dollar cost average (DCA) strategy. That is, for people who want to repeatedly buy an asset over time when its price is crashing.
█ CONCEPTS
Price crashes are indicated if the price falls below one or more of the 4 lower Bollinger Bands which are calculated with increasing multipliers for the standard deviation.
In these conditions, the price is far below the average. Therefore they are considered good buying opportunities.
No buy signals are emitted if the Bollinger Bands are tight, i.e. if the bandwidth (upper -lower band) is below the value of the moving average multiplied with a threshold factor. This ensures that signals are only emitted if the conditions are highly volatile.
The Bollinger Bands are calculated based on the daily candles, irrespective the chart time frame. This allows to check the strategy on lower time frames
MTF Key Levels [Mxwll]Mxwll MTF S/R:
The Mxwll MTF Support & Resistance indicator is designed to identify crucial support and resistance levels across multiple timeframes. By considering various timeframes, this indicator provides a more comprehensive view of the market's underlying structure. It allows traders to extend lines in various configurations and covers timeframes ranging from 5 minutes to weekly. By considering price action across multiple timeframes, the indicator provides a more comprehensive understanding of the market's supply and demand dynamics. Traders can use the Mxwll MTF Support & Resistance Indicator to refine their trade entries and exits, manage risk, and establish potential price targets.
FEATURES
5 Minute to Weekly Key Levels
Accurate Multi-Timeframe Support and Resistance
Customize To Extend The Lines - Left, Right and Right Across The Chart
Interplay Between Support and Resistance Levels
Change Colours Of S&R
Change Colours Of S&R Lines
INSTRUCTIONS
Select Your Timeframe -> Unselect the S&R Levels That Are Less Than The Timeframe - Trade
Brake Of Structure (BOS) By GadatasThis indicator is designed to identify and track swing highs and lows in a given market on any timeframe. It plots these swing highs and lows as solid lines on the chart. The indicator allows for customization of the line color and width and using another timeframe.
The indicator follows specific rules to determine when a new high or low is created. If the current range is considered bullish (meaning the most recent breakout was to the topside), the indicator will only update the low if a candle's body falls below the current low. However, if the current range is bearish (most recent breakout to the downside), the indicator will only update the high if a candle's body rises above the current high.
When a range is identified as bullish, the indicator will continue updating the high until a swing high is formed, denoting the high of the range. The high will only change if a candle's body surpasses the previous high. The low, on the other hand, will be updated based on the last time a candle's body falls below a previous candle's low. The lowest low after this condition is met will be assigned as the low of the range.
Conversely, when a range is identified as bearish, the indicator will continue updating the low until a swing low is formed, denoting the low of the range. The low will only change if a candle's body falls below the previous low. The high, in this case, will be updated based on the last time a candle's body rises above a previous candle's high. The highest high after this condition is met will be assigned as the high of the range.
Swing highs are determined by having lower highs to the left and right, while swing lows have higher lows to the left and right. These swings are used to determine the final high or low of a bullish or bearish range, respectively.
Tis Indicator differs from other indicators by incorporating this concept to track market structure. The indicator assumes that significant market players sell before making heavy purchases in bullish ranges and buy before selling heavily in bearish ranges. The lines on the chart represent prior highs and lows, as well as the current updated highs and lows based on this theory. By using this indicator, one can gain insights into the structure of price movement and potentially identify bullish or bearish continuations. It can also provide confluence when analyzing multiple timeframes to validate trend-following strategies.
Multi-Timeframe Trend Detector [Alifer]Here is an easy-to-use and customizable multi-timeframe visual trend indicator.
The indicator combines Exponential Moving Averages (EMA), Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI) to determine the trend direction on various timeframes: 15 minutes (15M), 30 minutes (30M), 1 hour (1H), 4 hours (4H), 1 day (1D), and 1 week (1W).
EMA Trend : The script calculates two EMAs for each timeframe: a fast EMA and a slow EMA. If the fast EMA is greater than the slow EMA, the trend is considered Bullish; if the fast EMA is less than the slow EMA, the trend is considered Bearish.
MACD Trend : The script calculates the MACD line and the signal line for each timeframe. If the MACD line is above the signal line, the trend is considered Bullish; if the MACD line is below the signal line, the trend is considered Bearish.
RSI Trend : The script calculates the RSI for each timeframe. If the RSI value is above a specified Bullish level, the trend is considered Bullish; if the RSI value is below a specified Bearish level, the trend is considered Bearish. If the RSI value is between the Bullish and Bearish levels, the trend is Neutral, and no arrow is displayed.
Dashboard Display :
The indicator prints arrows on the dashboard to represent Bullish (▲ Green) or Bearish (▼ Red) trends for each timeframe.
You can easily adapt the Dashboard colors (Inputs > Theme) for visibility depending on whether you're using a Light or Dark theme for TradingView.
Usage :
You can adjust the indicator's settings such as theme (Dark or Light), EMA periods, MACD parameters, RSI period, and Bullish/Bearish levels to adapt it to your specific trading strategies and preferences.
Disclaimer :
This indicator is designed to quickly help you identify the trend direction on multiple timeframes and potentially make more informed trading decisions.
You should consider it as an extra tool to complement your strategy, but you should not solely rely on it for making trading decisions.
Always perform your own analysis and risk management before executing trades.
The indicator will only show a Dashboard. The EMAs, RSI and MACD you see on the chart image have been added just to demonstrate how the script works.
DETAILED SCRIPT EXPLANATION
INPUTS:
theme : Allows selecting the color theme (options: "Dark" or "Light").
emaFastPeriod : The period for the fast EMA.
emaSlowPeriod : The period for the slow EMA.
macdFastLength : The fast length for MACD calculation.
macdSlowLength : The slow length for MACD calculation.
macdSignalLength : The signal length for MACD calculation.
rsiPeriod : The period for RSI calculation.
rsiBullishLevel : The level used to determine Bullish RSI condition, when RSI is above this value. It should always be higher than rsiBearishLevel.
rsiBearishLevel : The level used to determine Bearish RSI condition, when RSI is below this value. It should always be lower than rsiBullishLevel.
CALCULATIONS:
The script calculates EMAs on multiple timeframes (15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) using the request.security() function.
Similarly, the script calculates MACD values ( macdLine , signalLine ) on the same multiple timeframes using the request.security() function along with the ta.macd() function.
RSI values are also calculated for each timeframe using the request.security() function along with the ta.rsi() function.
The script then determines the EMA trends for each timeframe by comparing the fast and slow EMAs using simple boolean expressions.
Similarly, it determines the MACD trends for each timeframe by comparing the MACD line with the signal line.
Lastly, it determines the RSI trends for each timeframe by comparing the RSI values with the Bullish and Bearish RSI levels.
PLOTTING AND DASHBOARD:
Color codes are defined based on the EMA, MACD, and RSI trends for each timeframe. Green for Bullish, Red for Bearish.
A dashboard is created using the table.new() function, displaying the trend information for each timeframe with arrows representing Bullish or Bearish conditions.
The dashboard will appear in the top-right corner of the chart, showing the Bullish and Bearish trends for each timeframe (15M, 30M, 1H, 4H, 1D, and 1W) based on EMA, MACD, and RSI analysis. Green arrows represent Bullish trends, red arrows represent Bearish trends, and no arrows indicate Neutral conditions.
INFO ON USED INDICATORS:
1 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
2 — MOVING AVERAGE CONVERGENCE DIVERGENCE (MACD)
The Moving Average Convergence Divergence (MACD) is a popular trend-following momentum indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in a financial instrument's price.
The MACD is calculated by subtracting a longer-term Exponential Moving Average (EMA) from a shorter-term EMA. The most commonly used time periods for the MACD are 26 periods for the longer EMA and 12 periods for the shorter EMA. The difference between the two EMAs creates the main MACD line.
Additionally, a Signal Line (usually a 9-period EMA) is computed, representing a smoothed version of the MACD line. Traders watch for crossovers between the MACD line and the Signal Line, which can generate buy and sell signals. When the MACD line crosses above the Signal Line, it generates a bullish signal, indicating a potential uptrend. Conversely, when the MACD line crosses below the Signal Line, it generates a bearish signal, indicating a potential downtrend.
In addition to the MACD line and Signal Line crossovers, traders often look for divergences between the MACD and the price chart. Divergence occurs when the MACD is moving in the opposite direction of the price, which can suggest a potential trend reversal.
3 — RELATIVE STRENGHT INDEX (RSI):
The Relative Strength Index (RSI) is another popular momentum oscillator used by traders to assess the overbought or oversold conditions of a financial instrument. The RSI ranges from 0 to 100 and measures the speed and change of price movements.
The RSI is calculated based on the average gain and average loss over a specified period, commonly 14 periods. The formula involves several steps:
Calculate the average gain over the specified period.
Calculate the average loss over the specified period.
Calculate the relative strength (RS) by dividing the average gain by the average loss.
Calculate the RSI using the following formula: RSI = 100 - (100 / (1 + RS))
The RSI oscillates between 0 and 100, where readings above 70 are considered overbought, suggesting that the price may have risen too far and could be due for a correction. Readings below 30 are considered oversold, suggesting that the price may have dropped too much and could be due for a rebound.
Traders often use the RSI to identify potential trend reversals. For example, when the RSI crosses above 30 from below, it may indicate the start of an uptrend, and when it crosses below 70 from above, it may indicate the start of a downtrend. Additionally, traders may look for bullish or bearish divergences between the RSI and the price chart, similar to the MACD analysis, to spot potential trend changes.
Candles Preview MTFDescription:
The script displays a mini-chart with candlesticks from different symbols and timeframes (up to 8 in total). It can display up to 24 candles. You can use it on any timeframe, but it is intended to work with the same or higher timeframes than the chart's. For example: you can add a mini-chart displaying candles of the chart's symbol from Weekly timeframe, while being on Daily timeframe. The script updates in realtime, but it is not recommended to use it on very low timeframes (1 second for example).
Below you can find some examples of using the indicator:
(custom colors, highest and lowest volume in footer, symbol name with exchange in header)
(a chart with Weekly and a chart with Monthly candles, custom colors, no footer, timeframe in header)
(charts for 5 different stocks, no footer, symbol name in header)
Along with the chart it displays a header with Symbol and Timeframe, as well as footer with highest and lowest Price or Volume for selected number of candles. Each candle displays a tooltip with the following information when hovered:
- Date / Time
- Open, High, Low and Close prices
- Price change (absolute and %)
- Volume
- Volume change (absolute and %)
By default the interface changes colors if you switch to / from "Dark mode", but you can also manually customise any colors to your likings. You can also hide both header and footer, customise what information is displayed in them, show / hide the chart's grid and change its "density", choose position and height for each of the 8 charts. Additionally, you can change the timezone used to calculate time and date.
Inputs:
The indicator's inputs are separated into groups:
- Other (contains the "Timezone" parameter)
- Chart 1 (contains parameters specific for each chart)
- Chart 2
- Chart N
- ...
- Charts (contains parameters that modify all the 8 charts)
- Colors (contains parameters for styling)
How to get it:
Contact me on Tradingview using private chat, and I will grant you a 3 day trial access
On a side note:
You can share your feedback or ideas in the comments, it will help me improve the indicator. Refer to "Release notes" section for any future updates. Thank you!
[volfgang] WAVE ScannerThe Wave Scanner helps you make more informed decisions about when to buy and sell.
This indicator operates on a series of inputs and global variable declarations. Based on the same parameters as the WAVE Indicator. It uses different parameters such as the closing price, Stochastic Momentum Index, and smoothing factors such as the EMA to calculate the potential trade signals.
The scanner allows you to adjust the thresholds for bullish and bearish counts, which can be tailored to your personal trading strategy.
The minimum value is 4 and maximum is 8.
In total you can use 8 different timeframes for your signals from the following;
3D
1D
12h
8h
4h
1h
15m
5m
The scanner's unique ability to scan across multiple timeframes is what makes this indicator unique. This multi timeframe analysis can be incredibly useful for identifying broader trends in the market.
The Wave Scanner settings also includes inputs for you to enter risk management settings, including your total capital and the risk percentage you are willing to take per trade. It uses this information to display data in a label on the chart including;
Position Size
Stop Loss Level
Potential Profit
Risk Reward Ratio
On your chart, the WAVE Scanner will plot the ideal Entry Levels, Stop Loss and Take Profit Levels by calculating Fibonacci Levels, which is a popular tool for identifying potential support and resistance levels.
These are marked as follows;
GREEN Lines: Entry Levels
PINK Line: Stop Loss (can be customized in the settings)
GREY Line: Breakeven Level (move SL to breakeven at this level)
BLUE Line: Take Profit Level
So, if you're a trader looking to level up your strategy, the Wave Scanner is a tool you won't want to miss out on.
RSI Multi Timeframe Based on Moving Average By Alireza PhoenixHi. I have prepared for you the multi-time frame RSI indicator based on moving average
You can use it in three different time frames
Open the settings and put the value you want in the Time 1 and Time 2 fields
In the fast and slow section, specify the length of the moving period of fast and slow origins as desired
In the offset section, you can add or reduce the time interval as you wish
This indicator shows you the RSI index in three different time frames along with two different lengths of the moving average based on the RSI index.
You can use this indicator in all financial, forex or crypto markets
The crossing of RSI and moving average lines in different time frames and lengths will give you a buy or sell signal.
Whenever the faster line or smaller RSI total frame succeeds in breaking the slower line or the RSI time is higher than the low, a free signal is issued and vice versa.
I do not guarantee that 100% of the issued signals are accurate and correct, and I have coded this indicator only for your convenience.
I hope you can get help from this indicator and make profit
Love From IRAN
TwV Dynamic Multi-Timeframe Supports and ResistancesDynamic Multi-timeframe Supports and Resistances
This indicator is designed to be able to get used in combination with others that can lead to a potential help for trading.
The indicator uses colors such us light blue, dark blue, light red and dark red. Light blue and light red to indicate whether we are looking at a support or resistance for the multi-timeframe and dark blue and dark red to indicate whether we are looking at a support or resistance for the current chart’s timeframe.
The indicator is multi-timeframe because the trader can configure within the menu a background timeframe, which plots new supports and resistances according to the timeframe selected. Therefore, traders can use daily or 4H supports and resistances in a 1H graph or lower. (Just as an example)
The Supports' and Resistances' for the different timeframes are clearly identified with a label at the specific candle where they are coming from.
Most Supports & Resistances indicators need to be adjusted to a FIXED LOOKBACK PERIOD , I made an improvement and different by giving the indicator the ability to identify the bars that are being LOOK AT IN THE SCREEN , this really gives traders the possibility and agility to identify potential support and resistance areas without the need to be changing any settings on the indicator. Just change the Fixed/Dynamic setting indicator to start using this great functionality.
Fundamentals
Support and resistance are two foundational concepts in technical analysis. Understanding what these terms mean and their practical application is essential to correctly reading price charts.
Prices move because of supply and demand. When demand is greater than supply, prices rise. When supply is greater than demand, prices fall. Sometimes, prices will move sideways as both supply and demand are in equilibrium.
Like many concepts in technical analysis, the explanation and rationale behind technical concepts are relatively easy, but mastery in their application often takes years of practice.
Technical analysts use support and resistance levels to identify price points on a chart where the probabilities favor a pause or reversal of a prevailing trend.
Support occurs where a downtrend is expected to pause due to a concentration of demand.
Resistance occurs where an uptrend is expected to pause temporarily, due to a concentration of supply.
Support and resistance areas can be identified on charts using trendlines and moving averages.
Summary Panel
This panel allows the trader to have a summary of the values of the supports and resistances. It has the following characteristics:
Can be placed anywhere in the chart.
Its size can be modified to fit any type of screens including mobile
The summary box the high and low prices for the supports and resistances.
Script’s Basics
The idea behind the script is to find out Long-term levels are used to help predict large price reversals marking the start and completion of price movements on longer timelines such as the daily or weekly charts, to achieve this the script uses K-Means clustering to identify long-term support and resistance levels.
K-means clustering is one of the most popular algorithms, the objective of K-means is to group similar data points together and discover underlying patterns. To achieve this objective, K-means looks for a fixed number (k) of clusters in a dataset.
A cluster refers to a collection of data points aggregated together because of certain similarities. For this, a target number k has to be defined, which refers to the number of centroids it is needed in the dataset.
Every data point is allocated to each of the clusters through reducing the in-cluster sum of squares.
In other words, it identifies the k number of centroids and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible.
MultiTimeFrame Choppiness IndexThe Choppiness Index (CHOP) is an oscillator (range 0-100) designed to determine if the market is choppy (trading sideways, value is going up) or not choppy (trading within a trend, value is going down). In case of trend moves it do not determine trend direction (other indicators are needed to predict trend direction). Some see it as fuel for the upcoming movement.
This implementation shows the graph for 4 different time frames simultaneously. Time frames are selected in settings. The default set: 1h, 4h, 1D, 1W.
For each time frame we can show/hide chart line, pick timeframe, assigned a color and line width.
Troubleshooting:
In case od any problems, please send error details to the author of the script.
MTF Evolving Weighted Composite Value Area🧾 Description:
This indicator calculates evolving value areas across 3 different timeframes/periods and combines them into one composite, multi-timeframe evolving value area - with each of the underlying timeframes' VAs assigned their own weighting/importance in the final calculation. Layered with extra smoothing options, this creates an informative and useful 'rolling value area' effect that can give you a better perspective on the value area across multiple periods at once as it develops - without total calculation resets at the onset of every new period.
Let's start with a simplified primer on value areas and then jump in to the new ideas this indicator introduces.
🤔 What is a value area?
Value areas are a tool used in market profile analysis to determine the range of prices that represents where most trading activity occurred during a specific time period, typically within a single 'bar' of a certain higher timeframe, such as the 4-hour, daily, or weekly. It helps traders understand the levels where the market finds value.
To calculate the value area, we look at the distribution of prices and trading volume. We determine a percentage, usually 70% or 80%, that represents the significant portion of trading volume. Then, we identify the price range that contains this percentage of trading volume, which becomes the value area.
Value areas are useful because they provide insights into market dynamics and potential support and resistance levels. They show where traders have been most active and where they find value, and traders can use this information to make better-informed decisions.
For example, if price is trading within the value area, it suggests that it's within a range where traders see value and are actively participating, which could indicate a balanced market. If the price moves above or below the value area, it may signal a potential shift in market sentiment or a breakout/breakdown from the established range.
By understanding the value area, traders can identify potential areas of supply and demand, determine levels of interest for buyers and sellers, and make decisions based on the market's perception of value.
📑 Limitations of traditional value areas
Static representation: Value areas are usually represented as static zones calculated after the fact. For example, after a daily period is completed, a typical 1D VA indicator will display the value area for the past period with static horizontal lines. This approach doesn't give you the power to see how the value area evolved, or developed, during the time period, as it is only displayed retroactively. It also doesn't give you the ability to view it as it evolves in real-time. This is why we chose to use an evolving value area representation, specifically borrowed from @sourcey's Value Area POC/VAH/VAL script function for calculating evolving VAs.
Rollover resets - no memory of past periods!: The traditional value area is calculated over a static period - it is calculated from the beginning of the period, for example a 1 day period, to the end, and that's the end of it. When the next daily period begins, the calculation resets, and has no memory of the preceding period. This limits the usefulness of the value area visual when viewed near the beginning of a new period before price and volume have been given ample time to define an area.
Hard to absorb all of that information: Value areas aren't generally meant to be a hardline representation of something extremely exact - they're based on a percentage of the area where traders appeared to find value over a certain time period. Most traders use them as a guide for support and resistance levels or finding an expected range. Traders typically overlay multiple VAs - sometimes requiring several instances of the same indicator to be applied - to represent the VA across multiple timeframes such as the 4H, 1D, or 1W. The chart quickly gets cluttered and it's not necessarily easy to understand the relationship between these multiple periods' VAs at a glance.
🧪 New concepts introduced in this indicator
With the evolving weighted composite value area we tried to address these limitations, and we think the result can be useful and intuitive for traders who want more dynamic and practical VAs for their everyday technical analysis.
⚖️ 1. A composite, weighted multi-timeframe VA
This indicator's value areas represent a combination or composite of the value areas calculated across multiple timeframes. The VAs calculated across each timeframe are then given a weighting percentage, which determines their contribution to the final 'weighted composite value area'.
Pictured below: a 4H/1D/1W MTF evolving weighted composite VA on the BTCUSDT Perpetual Futures (Binance) 5 minute chart:
Traditionally, when traders wanted to get a view of where the majority of trading activity occurred over the past four hours, day, and week, they would need to apply three value area indicators (or sometimes one if it allows multiple custom timeframes), each set to a different period (4H, 1D, 1W). The chart gets cluttered quickly and the information is hard to absorb in one shot. Addressing this problem was the main impetus for creating this weighted composite process.
〰️ 2. Rolling and smoothed evolving VAs
Because the composite VA is calculated based on multiple period VAs, there is no one single point where the area calculation resets (unless all 3 selected timeframes happen to rollover on the same bar). This creates a 'rolling' effect that gives a sense of the progression of the VA as price transitions through the different underlying time periods, without the traditional 'jump' in calculations between periods.
Pictured below: a 1D/1W/1M MTF evolving weighted composite VA on the NQ futures 1H chart:
To help give even more of a sense of perspective and 'progression' of the VA, there are also smoothing options to even out the 'jumps' at period-rollover points.
✔️ What's it good for?
Smoothed, rolling, and evolving multi-timeframe VAs that give you a better real-time perspective of where traders are finding value across multiple time periods at once.
📎 References
1. @sourcey's Value Area POC/VAH/VAL script by adapting its f_poc(tf) function.
💠 Features:
A MTF evolving weighted composite value area based on 3 underlying VAs calculated across customizable timeframes
Aesthetic and flexible coloring and color theme styling options
Period-roller labels and options for ease-of-use and legibility
⚙️ Settings:
Calculation Decimal Resolution: This setting essentially determines how 'granular' the value area calculating process is. This value should be set to some multiple of the tick size/smallest decimal of the symbol's price chart. Eg. On BTCUSDT, the tick size/decimal is usually 0.1. So, you might use 0.5. On TSLA, the tick size is 0.01. You might use 0.05 or 0.25. Beware: if the resolution is too small, calculation will take too long and the script may timeout.
Show Me Suggested Resolutions: If enabled, a label will display in the bottom right of the chart with some suggested resolutions for the current chart.
Area Percentage: Set the displayed percentage of the calculated composite value area. Igor method = 70%; Daniel method: 68%.
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Resistance Color: When 'Use a Color Theme' is disabled, this will set the 'resistance color' for the composite VA.
Support Color: When 'Use a Color Theme' is disabled, this will set the 'support color' for the composite VA.
Show Period Rollover Labels: When enabled, a label will show above or below the composite VA marking any underlying period rollovers with the label 'New __' (eg. 'New 4H', 'New 1D', 'New 1W').
Size: Sets the font size of the period rollover labels.
Show Period Rollover Lines: When enabled, a translucent vertical dashed line will be drawn across the composite VA when one of the underlying periods rolls over.
Fill Composite Value Area: When enabled, the composite VA will be filled with a gradient coloring from the support line to the resistance line using their respective colors.
Smooth: When enabled, a smoothing moving average will be applied to the composite value area.
Smoothing Period: Set the lookback period for the smoothing average.
Smoothing Type: Set the calculation type for the smoothing average. Options include: Exponential, Simple, Weighted, Volume-Weighted, and Hull.
Enable: Include/exclude a timeframe's VA in the composite VA calculation.
Timeframe: Set the timeframe for this specific underlying VA.
Weighting %: Set the weighting percentage or 'importance' of this timeframe's value area in calculating the composite VA. Beware! The sum of the weighting percentages across all enabled timeframes must ALWAYS add up to 100 in order for this indicator to work as designed.
MTF Fusion - SuperTrend [TradingIndicators]SuperTrend is undoubtedly one of the most popular and influential indicators ever developed, and by combining it with our MTF Fusion algorithm, we believe we have made it more useful and powerful than ever with MTF Fusion SuperTrend .
Let's start with a brief review of what the original SuperTrend indicator is and how it works.
What is SuperTrend?
The SuperTrend indicator is a popular technical analysis tool used in financial markets to identify the direction of a trend and potential entry and exit points for trading. It was developed by Olivier Seban, a French trader, and first introduced in his book "Tout le monde peut gagner en bourse" ("Everyone Can Win in the Stock Market") published in 2008.
SuperTrend is based on the concept of Average True Range (ATR) and uses two parameters: the multiplier and the period. The ATR measures the volatility of a financial instrument, and the SuperTrend indicator utilizes this information to plot a line above or below the price chart. It is an 'AITM' (Always In The Market) indicator, which, in its original form, is always 'long' or 'short' - and never 'flat'.
Here's a brief overview of how the SuperTrend indicator works:
Calculation of the ATR: The ATR is calculated using historical price data over a specified period. It measures the average range between high and low prices, reflecting the market's volatility.
Calculation of the upward (long/bullish) and downward (short/bearish) SuperTrend lines: The SuperTrend indicator multiplies the ATR by a specified multiplier (typically 2 or 3) and adds/subtracts the result from the current closing price. This calculation determines the upward and downward SuperTrend lines.
Plotting the Indicator: The SuperTrend indicator plots a line above the price chart when the price is trending upwards, and below the price chart when the price is trending downwards. The distance between the price and the indicator line provides insights into the strength of the trend.
Traders commonly use the SuperTrend indicator to identify potential buy or sell signals. For example, a buy signal may be generated when the price crosses above the indicator line, indicating an uptrend. Conversely, a sell signal may be triggered when the price crosses below the indicator line, signaling a downtrend.
What is MTF Fusion?
Multi-Timeframe (MTF) Fusion is the process of combining calculations from multiple timeframes higher than the chart's into one 'fused' value or indicator. It is based on the idea that integrating data from higher timeframes can help us to better identify short-term trading opportunities within the context of long-term market trends.
How does it work?
Let's use the context of this indicator, which calculates SuperTrend lines, as an example to explain how MTF Fusion works and how you can perform it yourself.
Step 1: Selecting Higher Timeframes
The first step is to determine the appropriate higher timeframes to use for the fusion calculation. These timeframes should typically be chosen based on their ability to provide meaningful price levels and action which actively affect the price action of the smaller timeframe you're focused on. For example, if you are trading the 5 minute chart, you might select the 15 minute, 30 minute, and hourly timeframe as the higher timeframes you want to fuse in order to give you a more holistic view of the trends and action affecting you on the 5 minute. In this indicator, four higher timeframes are automatically selected depending on the timeframe of the chart it is applied to.
Step 2: Gathering Data and Calculations
Once the higher timeframes are identified, the next step is to calculate the data from these higher timeframes that will be used to calculate your fused values. In this indicator, for example, the values of SuperTrend lines are calculated by determining the value of the SuperTrend indicator for all four higher timeframes.
Step 3: Fusing the Values From Higher Timeframes
The next step is to actually combine the values from these higher timeframes to obtain your 'fused' indicator values. The simplest approach to this is to simply average them. If you have calculated the value of a SuperTrend line from three higher timeframes, you can, for example, calculate your 'multi-timeframe fused level' as (HigherTF_SuperTrend_1 + HigherTF_SuperTrend_2 + HigherTF_SuperTrend_3) / 3.0.
Step 4: Visualization and Interpretation
Once the calculations are complete, the resulting fused indicator values are plotted on the chart. These values reflect the fusion of data from the multiple higher timeframes, giving a broader perspective on the market's behavior and potentially valuable insights without the need to manually consider values from each higher timeframe yourself.
What makes this script unique? Why is it closed source?
While the process described above is fairly unique and sounds simple, the truly important key lies in determining which higher timeframes to fuse together, and how to weight their values when calculating the fused end result in such a way that best leverages their relationship for useful TA.
This MTF Fusion indicator employs a smart, adaptive algorithm which automatically selects appropriate higher timeframes to use in fusion calculations depending on the timeframe of the chart it is applied to. It also uses a dynamic algorithm to adjust and weight the SuperTrend calculations depending on each higher timeframe's relationship to the chart timeframe. These algorithms are based on extensive testing and are the reason behind this script's closed source status.
Unlike in the original indicator, flat/'No Trend' areas exist in MTF Fusion SuperTrend!
MTF Fusion SuperTrend only shows a Fusion SuperTrend when the majority of SuperTrends from higher timeframes are in agreement and signaling the same trend direction . So, unlike the original SuperTrend indicator, MTF Fusion SuperTrend sometimes shows no SuperTrend line at all - typically in flat or indecisive areas, which we think is beneficial and helps to filter out noise on smaller timeframes.
Included Features
Fusion SuperTrend lines
Dynamic Multi-Timeframe SuperTrends
Filled zones to highlight trends
Full customization of SuperTrend parameters
Pre-built color stylings
Options
Fusion View: Show/hide the Fusion SuperTrends calculated from multiple higher timeframes
MTF View: Show/hide the SuperTrends from multiple higher timeframes used to calculate the Fusion SuperTrends
Fill Trending Zones: Show/hide the fill for 'trending zones' between price and the Fusion SuperTrends
Multiplier: Sets the multiplier for all SuperTrend calculations
ATR Period: Sets the ATR period for all SuperTrend calculations
Pre-Built Color Styles: Use a pre-built color styling (uncheck to use your own colors)
Manual Color Styles: When pre-built color styles are disabled, use these color inputs to define your own
Dodge Trend [MyTradingCoder]Introducing the "Dodge Trend" indicator, an innovative variant of the Supertrend indicator designed to help traders better avoid fakeouts and maintain positions in established trends.
Like the Supertrend, the Dodge Trend uses Average True Range (ATR) but incorporates a unique adaptive adjustment feature that differentiates it from its counterparts. While the conventional Supertrend rises with the trend and only descends when the price crosses it, the Dodge Trend is designed to 'dodge' potential fakeouts.
This 'dodging' mechanism works by allowing the Dodge Trend to fall slightly during pullbacks, reducing the risk of a premature exit due to a temporary price drop. The recovery rate after the pullback is quicker but is slightly lower than the rate at which a new Dodge Trend high would be established in an uptrend. This unique adjustment feature allows the Dodge Trend to chase price action in an exponential fashion, potentially enabling a quicker exit when the trend shifts.
Key Settings:
Length: Adjust how much price action is taken into consideration for the ATR average. Lower values yield higher responsiveness to recent price action.
Size: Determines the initial deviation of the Dodge Trend when it resets after every flip/break.
Source: Specifies the data point (close, high, open, low, hl2, etc.) used for the Dodge Trend.
Dodge Intensity: Adjusts the intensity of the pullback effect. Higher values result in more intense pullbacks. Range is limited between 0 and 99, with 95 as the recommended default.
Bullish Color Setting: Sets the color for the uptrend Dodge Trend.
Bearish Color Setting: Sets the color for the downtrend Dodge Trend.
Dodge Trend is a powerful tool for traders looking to ride trends and avoid unnecessary exits due to short-term price fluctuations. While it offers a unique feature that may potentially improve trading outcomes, it should be used in conjunction with other indicators and analysis methods for a comprehensive trading strategy. As with all tools, it does not guarantee profitable trades but aims to give traders more actionable and precise information to base their decisions on.
Experience trend-following in a more adaptive and efficient manner with the Dodge Trend indicator, a tool designed to help you 'dodge' false exits and stay in line with the overall trend.
Multi Timeframe Control (Enomai)This indicator is called "Multi Timeframe Control" and has the following features:
1. Table settings:
- selection of different timeframes (1m, 5m, 15m, 30m, 1h, 2h, 4h, 8h, 12h, D, W, M) for displaying closing prices;
- choice of table orientation (horizontal or vertical);
- selection of the position for the table on the chart (top right, middle right, bottom right, top center, middle center, bottom center, top left, middle left, bottom left);
- table size selection (automatic, large, medium, normal, small, tiny);
- text color customization (positive closing value color and negative closing value color);
- display or hide closing prices in the table.
2. Line settings:
- selection of different timeframes for displaying lines (similar to table settings);
- for each time frame (1m, 5m, 15m, etc.) you can choose whether to place a line on the chart;
- individual color selection for each line.
- choice of line display type on the chart (circle, cross, step line, diamond);
- show or hide lines on the chart.
3. Other settings:
- offset the length of price lines to the left by a certain number of bars (default is 0, maximum is 300 bars);
- offset of bars for displaying the closing price from previous periods (default is 1, maximum is 500 bars).
The indicator allows you to display closing prices for different timeframes simultaneously both in the table and on the chart with the corresponding colors for each timeframe. You can also set up which previous bar and, accordingly, its closing price to display in the table and on the chart. For example, if you set 3 in the bar offset setting for displaying the closing price of previous periods, then for the D timeframe will be displayed the closing price of the bar 3 days ago.
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Данный индикатор называется "Multi Timeframe Control" и имеет следующие возможности:
1. Настройка таблицы:
- выбор различных временных рамок (1m, 5m, 15m, 30m, 1h, 2h, 4h, 8h, 12h, D, W, M) для отображения цен закрытия;
- выбор ориентации таблицы (горизонтальная или вертикальная);
- выбор положения таблицы на графике (верхний правый, средний правый, нижний правый, верхний центр, средний центр, нижний центр, верхний левый, средний левый, нижний левый);
- выбор размера таблицы (автоматический, большой, средний, нормальный, малый, мелкий);
- настройка цвета текста, цвета положительных значений закрытия цены и цвета отрицательных значений закрытия цены;
- отображение или сокрытие цен закрытия в таблице.
2. Настройка линий:
- выбор различных временных рамок для отображения линий (аналогичны настройкам таблицы);
- для каждой временной рамки (1m, 5m, 15m и т.д.) вы можете выбрать, нужно ли размещать линию на графике;
- вы можете выбрать цвет для каждой линии в отдельности.
- выбор типа отображения линий на графике (круг, крестик, ступенчатая линия, ромб);
- отображение или сокрытие линий на графике.
3. Другие настройки:
- смещение длины линий цены влево на определенное количество баров (по умолчанию 0, максимум 300 баров);
- смещение баров для отображения цены закрытия предыдущих периодов (по умолчанию 1, максимум 500 баров).
Индикатор позволяет отображать цены закрытия для разных таймфреймов одновременно как в таблице, так и на графике с соответствующими цветами для каждого таймфрейма. Также Вы можете настроить какой именно предыдущий бар и, соответственно, его цену закрытия отображать в таблице и на графике. Например, если в настройке смещения баров для отображения цены закрытия предыдущих периодов установить 3, то для таймфрейма D будет отображаться цена закрытия бара 3 дня назад.
MTF Fusion - PSAR [TradingIndicators]MTF Fusion PSAR intelligently adapts to whatever timeframe you're trading - dynamically calculating Parabolic SAR (Stop and Reverse) levels combined from four appropriate higher timeframes to give you a much broader view of the market and an edge in your trading decisions. It is the third indicator in our MTF Fusion series, and leverages our MTF Fusion algorithm - only this time to visualize J. Welles Wilder Jr.'s famous Parabolic SAR indicator.
What is MTF Fusion?
Multi-Timeframe (MTF) Fusion is the process of combining calculations from multiple timeframes higher than the chart's into one 'fused' value or indicator. It is based on the idea that integrating data from higher timeframes can help us to better identify short-term trading opportunities within the context of long-term market trends.
How does it work?
Let's use the context of this indicator, which calculates PSAR levels, as an example to explain how MTF Fusion works and how you can perform it yourself.
Step 1: Selecting Higher Timeframes
The first step is to determine the appropriate higher timeframes to use for the fusion calculation. These timeframes should typically be chosen based on their ability to provide meaningful price levels and action which actively affect the price action of the smaller timeframe you're focused on. For example, if you are trading the 5 minute chart, you might select the 15 minute, 30 minute, and hourly timeframe as the higher timeframes you want to fuse in order to give you a more holistic view of the trends and action affecting you on the 5 minute. In this indicator, four higher timeframes are automatically selected depending on the timeframe of the chart it is applied to.
Step 2: Gathering Data and Calculations
Once the higher timeframes are identified, the next step is to calculate the data from these higher timeframes that will be used to calculate your fused values. In this indicator, for example, the values of PSAR levels are calculated by determining the value of the PSAR indicator for all four higher timeframes.
Step 3: Fusing the Values From Higher Timeframes
The next step is to actually combine the values from these higher timeframes to obtain your 'fused' indicator values. The simplest approach to this is to simply average them. If you have calculated the value of a PSAR level from three higher timeframes, you can, for example, calculate your 'multi-timeframe fused level' as (HigherTF_PSAR_Level_1 + HigherTF_PSAR_Level_2 + HigherTF_PSAR_Level_3) / 3.0.
Step 4: Visualization and Interpretation
Once the calculations are complete, the resulting fused indicator values are plotted on the chart. These values reflect the fusion of data from the multiple higher timeframes, giving a broader perspective on the market's behavior and potentially valuable insights without the need to manually consider values from each higher timeframe yourself.
What makes this script unique? Why is it closed source?
While the process described above is fairly unique and sounds simple, the truly important key lies in determining which higher timeframes to fuse together, and how to weight their values when calculating the fused end result in such a way that best leverages their relationship for useful TA.
This MTF Fusion indicator employs a smart, adaptive algorithm which automatically selects appropriate higher timeframes to use in fusion calculations depending on the timeframe of the chart it is applied to. It also uses a dynamic algorithm to adjust and weight the PSAR calculations depending on each higher timeframe's relationship to the chart timeframe. These algorithms are based on extensive testing and are the reason behind this script's closed source status.
What is the PSAR indicator?
The Parabolic SAR (Stop and Reverse) indicator is a technical analysis tool that helps identify potential trend reversals in price movements. It was developed by J. Welles Wilder Jr. and is widely used by traders to determine entry and exit points in the market. It consists of levels that are plotted above or below current price. The position of these plots relative to the price provides valuable information about the prevailing trend and potential reversal points.
Here's how the original PSAR indicator works:
Upward Trend: When the Parabolic SAR level is plotted below the price, it indicates an upward trend in the market. The level generally moves closer to the price as the trend progresses. This creates a parabolic curve that rises with time. Traders typically interpret this as a bullish signal, suggesting that it may be a good time to buy or hold positions.
Downward Trend: Conversely, when the Parabolic SAR level is plotted above the price, it indicates a downward trend in the market. The plot generally moves closer to the price as the trend continues, forming a parabolic curve that declines with time. This is considered a bearish signal, suggesting that it may be a suitable time to sell or avoid taking long positions.
Reversal Points: The primary purpose of the Parabolic SAR indicator is to identify potential trend reversals. When the price crosses above or below the Parabolic SAR level, it indicates a possible reversal in the trend.
The Parabolic SAR indicator is versatile and can be used in various market conditions and timeframes. It is particularly useful in trending markets, where it helps traders ride the trend and capture potential profits. However, it's important to note that the Parabolic SAR may generate false signals or provide delayed indications in sideways or choppy markets.
Included Features
Fusion PSAR levels
Filled zones to highlight trends
Full customization of PSAR parameters
Pre-built color stylings
Options
Fusion View: Show/hide the Fusion PSAR levels calculated from multiple higher timeframes
Fill Trending Zones: Show/hide the fill for 'trending zones' between price and the Fusion PSAR levels
Start: Defines the rate at which the PSAR levels move closer to the price during the initial stages of a trend (higher = faster convergence, lower = slower convergence)
Increment: Controls the rate at which the acceleration factor increases or decreases as the trend continues (higher = faster convergence, lower = slower convergence)
Max: Sets a limit on the maximum value that the acceleration factor can reach
Pre-Built Color Styles: Use a pre-built color styling (uncheck to use your own colors)
Manual Color Styles: When pre-built color styles are disabled, use these color inputs to define your own
