Smart MAThe Smart MA indicator is a tool designed for traders seeking insights into market trends, with its foundation rooted in moving averages. It offers two distinctive color options, with "Crossing" as the default choice and "Direction" as an alternative. Let's delve deeper into these options:
1. "Crossing" Color Option (Default):
Key Features:
Utilizes the interaction between fast and slow moving averages.
The color of the base moving average (MA) line dynamically changes based on crossovers between these moving averages.
Offers real-time visual signals for potential shifts in market sentiment.
Interpretation:
With the "Crossing" color option as the default setting, the base MA line's color responds to the interaction of the fast and slow moving averages.
A crossover where the fast MA crosses above the slow MA may prompt the base MA line to change to a bullish color (e.g., teal), indicating a potential bullish trend.
Conversely, if the fast MA crosses below the slow MA, the base MA line's color may alter to represent a bearish sentiment (e.g., red). This color shift provides a visual marker for a potential bearish trend, potentially guiding traders towards shorting opportunities.
2. "Direction" Color Option:
Key Features:
Focuses on the directional trend of the base moving average (MA).
The color of the base MA line signifies the direction in which the base MA is moving.
Aids in quickly identifying the prevailing market trend.
Interpretation:
Uptrend - Bullish Direction: When the base MA slopes upward, indicating an average price increase over the chosen base MA length, the base MA line's color may shift to a bullish hue (e.g., teal). This visual cue signals a potential uptrend, suggesting favorable long positions.
Downtrend - Bearish Direction: If the base MA slopes downward, signifying an average price decrease over the selected base MA length, the base MA line could change to a bearish shade (e.g., red). This color shift acts as an indicator of a potential downtrend, implying possible opportunities for shorting.
Customization:
Both color options allow traders to adjust the indicator's parameters, including base MA length, MA type, fast MA length, and slow MA length, to align with their trading strategies and preferred timeframes.
In summary, the Smart MA indicator, based on moving averages, provides traders with two color options: the default "Crossing" and "Direction" as an alternative. The "Crossing" option leverages fast and slow moving averages to offer real-time visual cues for dynamic market shifts. The "Direction" option simplifies trend analysis by focusing on the directional trend of the base MA. The choice between these options depends on your trading style and the depth of analysis you require. With the Smart MA indicator, you're equipped to make informed trading decisions in today's financial markets.
Скользящие средние
Trend Pinbar PT49 by CuancuanIdea Behind:
Buying the short-term trend that shows a pin-bar candlestick pattern. Meant to be traded on a daily chart / higher timeframe.
To determine the short-term trend we use short EMA such as 8-16-30 and check the slope of each one, and definitely, the shorter one must be above the longer one for an uptrend. Vice versa for a downtrend.
To determine a pin-bar candlestick, I calculate that the body size (open to close) is at maximum a-third of the candle size (high to low). Besides that, I ensure that the close of the candle is above the shortest MA for bullish and below it for bearish.
As extra filters to reduce trade numbers:
1. Longer MA Filter = You can turn it off if you think the higher timeframe filter is unnecessary.
2. Slope Filter = To ensure the slope of the shorter MA is steeper rather than the mid-MA.
3. Size Filter = To check whether the overall candle size (high to low) is bigger than the ATR number. When the size filter is turned on, it removes small insignificant candles.
PS: Don't trade anything live unless you find it comfortable after backtesting it by yourself .
Webby's Quick & Grateful Dead RSWebby's Quick & Grateful Dead RS combines a Relative Strength Line and Moving Averages to help traders hold a core position in a winning stock by identifying moments of strength and weakness in a stocks advance.
The Relative Strength (RS) line is something many investors are familiar with. It is used to measure a stocks performance versus the S&P 500 (default setting) and is typically calculated by dividing the closing price of the stock by the closing price of the S&P. This means if a stock moves up and the S&P moves down or the stock moves up more than the S&P the RS line will increase, if the stock moves down while the S&P moves up the line will decrease.
While the RS Line by itself is a powerful tool, adding moving averages to the RS line can help better understand trends. This work was done by Mike Webster (Webby) as he tried to reverse engineer how William O'Neil was able to hold some of his biggest winning positions.
This indicator plots the RS line along with two moving averages and clearly labels and alerts the 3 signals shared by Webby:
Quick Break - RS line crosses below the fast moving average
Quicksand - RS line moves lower than it was at the time of the Quick Break
Grateful Dead Break - RS line crosses below the slow moving average
To ensure your chart doesn't get skewed, please use the multiplier in the setting to adjust the vertical offset of the RS line and moving averages.
2 Moving Averages | Trend FollowingThe trading system is a trend-following strategy based on two moving averages (MA) and Parabolic SAR (PSAR) indicators.
How it works:
The strategy uses two moving averages: a fast MA and a slow MA.
It checks for a bullish trend when the fast MA is above the slow MA and the current price is above the fast MA.
It checks for a bearish trend when the fast MA is below the slow MA and the current price is below the fast MA.
The Parabolic SAR (PSAR) indicator is used for additional trend confirmation.
Long and short positions can be turned on or off based on user input.
The strategy incorporates risk management with stop-loss orders based on the Average True Range (ATR).
Users can filter the backtest date range and display various indicators.
The strategy is designed to work with the date range filter, risk management, and user-defined positions.
Features:
Trend-following strategy.
Two customizable moving averages.
Parabolic SAR for trend confirmation.
User-defined risk management with stop-loss based on ATR.
Backtest date range filter.
Flexibility to enable or disable long and short positions.
This trading system provides a comprehensive approach to trend-following and risk management, making it suitable for traders looking to capture trends with controlled risk.
Sentiment Range MA [ChartPrime]The "Sentiment Range MA" provides traders with a dynamic perspective on market activity, emphasizing both stability in chop zones and quick adaptability outside of them.
Key Features:
Chop Zone Stability: In choppy markets, this indicator remains consistent, filtering out the noise to provide a clear view.
Quick Adaptability: Should the price break out of these zones, the indicator recalibrates promptly.
Dynamic Support and Resistance: Adapts based on the latest price action, serving as an evolving reference point.
Emphasis on Recent Levels: The tool factors in the latest notable market levels to stay relevant and timely.
Configurations:
Data Source: Choose your desired metric, though many default to the closing price.
Output Smoothing: Adjust the SR MA's response to market movements.
Trigger Smoothing: Refine boundary definitions based on your market insights.
ATR Period: Set the period for the ATR, influencing the surrounding boundary's width.
Range Multiplier: Control the ATR's effect on the range.
Range Switch: Flip between high-low and open-close values for range determination.
Visuals
Sentiment Range MA Line:
- This is the flowing line that transitions between green and red.
- When it's green, it indicates bullish momentum in the market. This suggests a prevailing upward trend and can be an entry cue for traders who trade with the trend.
- When it turns red, bearish sentiments dominate. It indicates the potential beginning of a downtrend or a continued downtrend. Traders might interpret this as a signal to be cautious, to short the market, or to exit long positions.
The Chop Zone:
- This is the space between the price candles and the Sentiment Range MA line. It represents a region where the price is considered to be moving sideways or without a clear direction. Price movements within the chop zone might not be substantial enough to warrant a trading decision. Only when the price breaks out of this zone do we see the Sentiment Range MA line change color, signaling a potential trading opportunity.
By interpreting these visuals, traders can make more informed decisions based on the prevailing market sentiment and trend. The chart becomes a tool, providing both an overview of the market condition and potential entry or exit points based on the Sentiment Range MA indicator's readings.
Detailed Settings Overview
Understanding the settings of the Sentiment Range MA Indicator can greatly enhance its utility in your trading strategy. Let's dive deeper into each:
Output Smoothing:
Purpose: It refines the SR MA to provide a clearer trend perspective.
Functionality:
- At `0`, it ensures the indicator responds immediately to price deviations from the chop zone.
- At higher values, it transforms the indicator into a volatility-adjusted moving average.
Filtering Modes:
- Single Filtering: Prioritizes speed.
- Double Filtering: Emphasizes stability.
Trigger Smoothing:
Purpose: Used for the range break detection.
Functionality: It dampens the indicator's sensitivity to sudden market volatility, preventing unnecessary triggers.
ATR Length:
Purpose: Governs the retrospective period for the chop zone.
Functionality:
- Higher values offer a more consistent and broad range size, capturing more historical data.
- Lower values allow for a more adaptive and responsive range.
Range Multiplier:
Purpose: Modifies the breadth of the range around the SR MA.
Functionality: Increasing the multiplier will extend the range, giving more leeway before triggering, while decreasing it will narrow the range, making the indicator more responsive to price changes.
Range Style:
Purpose: Decides which candlestick data is factored into the true range calculations.
Options:
- Body: Uses the open and close values.
- Wick: Accounts for the high and low values.
Functionality: Switching between styles lets you prioritize either the overall volatility (Wick) or just the concluded price action for a period (Body).
By fine-tuning these settings, traders can tailor the Sentiment Range MA Indicator to various market conditions and personal trading styles, ensuring optimal decision-making.
Quick Start
Based on the provided chart, here's a brief explanation of the default settings for the Sentiment Range MA Indicator:
Length: Set at ` 20 `.
- This determines the base moving average period. A standard setting, it calculates the average price over the last 20 periods, providing traders with a clear perspective of short-term trends.
ATR Length: Set at ` 200 `.
- This adjusts the lookback period for the Average True Range (ATR), which in turn influences the chop zone calculation. At a setting of 200, it offers a comprehensive view, considering a longer stretch of historical data.
Range Multiplier: Set at ` 6 `.
- This multiplies the ATR value, widening or narrowing the band around the SR MA. A setting of 6 means the range around the SR MA is determined by multiplying the ATR by 6, offering a broader fluctuation zone.
On the chart, the green line represents the bullish sentiment and the red represents the bearish sentiment. Price movements above and below these lines can be used as potential buy or sell signals respectively. Fine-tuning these settings can cater the Sentiment Range MA Indicator to your specific trading strategy and market condition preferences.
Alternative Settings
For traders looking to adapt to faster market conditions or prefer a more agile analysis, here's a brief description of the alternative settings for the Sentiment Range MA Indicator:
Length: Set at ` 3 `.
- This highly responsive setting calculates the average price over the last 3 periods. Ideal for quick market movements, it offers traders insights into very short-term price trends and potentially swift trade opportunities.
ATR Length: Set at ` 50 `.
- This shorter lookback period for the Average True Range (ATR) focuses on more recent market volatility, providing a tighter and more current chop zone calculation. It's suitable for those wanting to respond to recent market shifts.
Range Multiplier: Set at ` 4 `.
- Multiplying the ATR by 4 narrows down the buffer around the SR MA. This creates a tighter sentiment range, possibly resulting in more frequent crossovers and trading signals.
In the provided chart, the green line still denotes bullish momentum while the red symbolizes bearish sentiment. These alternative settings might generate more frequent signals, so traders should ensure their strategy is aligned with this heightened sensitivity.
Wrapping Up
The Sentiment Range MA melds stability and agility, making it a valuable tool in your trading toolkit. As always, before integrating new indicators, take the time to understand its nuances and potential impacts on your strategy.
Machine Learning: VWAP [YinYangAlgorithms]Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the sense that they help to identify both Overbought and Oversold Price locations based on previous movements and help to identify how far the price may move within the current Trend. However, unlike Bollinger Bands, VWAPs have the ability to parabolically get quite spaced out and also reset. For this reason, the price may never actually go from the Lower to the Upper and vice versa (when very spaced out; when the Upper and Lower zones are narrow, it may bounce between the two). The reason for this is due to how the anchor location is calculated and in this specific Indicator, how it changes anchors based on price movement calculated within Machine Learning.
This Indicator changes the anchor if the Low < Lowest Low of a length of X and likewise if the High > Highest High of a length of X. This logic is applied within a Machine Learning standpoint that likewise amplifies this Lookback Length by adding a Machine Learning Length to it and increasing the lookback length even further.
Due to how the anchor for this VWAP changes, you may notice that the Basis Line (Orange) may act as a Trend Identifier. When the Price is above the basis line, it may represent a bullish trend; and likewise it may represent a bearish trend when below it. You may also notice what may happen is when the trend occurs, it may push all the way to the Upper or Lower levels of this VWAP. It may then proceed to move horizontally until the VWAP expands more and it may gain more movement; or it may correct back to the Basis Line. If it corrects back to the basis line, what may happen is it either uses the Basis Line as a Support and continues in its current direction, or it will change the VWAP anchor and start anew.
Tutorial:
If we zoom in on the most recent VWAP we can see how it expands. Expansion may be caused by time but generally it may be caused by price movement and volume. Exponential Price movement causes the VWAP to expand, even if there are corrections to it. However, please note Volume adds a large weighted factor to the calculation; hence Volume Weighted Average Price (VWAP).
If you refer to the white circle in the example above; you’ll be able to see that the VWAP expanded even while the price was correcting to the Basis line. This happens due to exponential movement which holds high volume. If you look at the volume below the white circle, you’ll notice it was very large; however even though there was exponential price movement after the white circle, since the volume was low, the VWAP didn’t expand much more than it already had.
There may be times where both Volume and Price movement isn’t significant enough to cause much of an expansion. During this time it may be considered to be in a state of consolidation. While looking at this example, you may also notice the color switch from red to green to red. The color of the VWAP is related to the movement of the Basis line (Orange middle line). When the current basis is > the basis of the previous bar the color of the VWAP is green, and when the current basis is < the basis of the previous bar, the color of the VWAP is red. The color may help you gauge the current directional movement the price is facing within the VWAP.
You may have noticed there are signals within this Indicator. These signals are composed of Green and Red Triangles which represent potential Bullish and Bearish momentum changes. The Momentum changes happen when the Signal Type:
The High/Low or Close (You pick in settings)
Crosses one of the locations within the VWAP.
Bullish Momentum change signals occur when :
Signal Type crosses OVER the Basis
Signal Type crosses OVER the lower level
Bearish Momentum change signals occur when:
Signal Type crosses UNDER the Basis
Signal Type Crosses UNDER the upper level
These signals may represent locations where momentum may occur in the direction of these signals. For these reasons there are also alerts available to be set up for them.
If you refer to the two circles within the example above, you may see that when the close goes above the basis line, how it mat represents bullish momentum. Likewise if it corrects back to the basis and the basis acts as a support, it may continue its bullish momentum back to the upper levels again. However, if you refer to the red circle, you’ll see if the basis fails to act as a support, it may then start to correct all the way to the lower levels, or depending on how expanded the VWAP is, it may just reset its anchor due to such drastic movement.
You also have the ability to disable Machine Learning by setting ‘Machine Learning Type’ to ‘None’. If this is done, it will go off whether you have it set to:
Bullish
Bearish
Neutral
For the type of VWAP you want to see. In this example above we have it set to ‘Bullish’. Non Machine Learning VWAP are still calculated using the same logic of if low < lowest low over length of X and if high > highest high over length of X.
Non Machine Learning VWAP’s change much quicker but may also allow the price to correct from one side to the other without changing VWAP Anchor. They may be useful for breaking up a trend into smaller pieces after momentum may have changed.
Above is an example of how the Non Machine Learning VWAP looks like when in Bearish. As you can see based on if it is Bullish or Bearish is how it favors the trend to be and may likewise dictate when it changes the Anchor.
When set to neutral however, the Anchor may change quite quickly. This results in a still useful VWAP to help dictate possible zones that the price may move within, but they’re also much tighter zones that may not expand the same way.
We will conclude this Tutorial here, hopefully this gives you some insight as to why and how Machine Learning VWAPs may be useful; as well as how to use them.
Settings:
VWAP:
VWAP Type: Type of VWAP. You can favor specific direction changes or let it be Neutral where there is even weight to both. Please note, these do not apply to the Machine Learning VWAP.
Source: VWAP Source. By default VWAP usually uses HLC3; however OHLC4 may help by providing more data.
Lookback Length: The Length of this VWAP when it comes to seeing if the current High > Highest of this length; or if the current Low is < Lowest of this length.
Standard VWAP Multiplier: This multiplier is applied only to the Standard VWMA. This is when 'Machine Learning Type' is set to 'None'.
Machine Learning:
Use Rational Quadratics: Rationalizing our source may be beneficial for usage within ML calculations.
Signal Type: Bullish and Bearish Signals are when the price crosses over/under the basis, as well as the Upper and Lower levels. These may act as indicators to where price movement may occur.
Machine Learning Type: Are we using a Simple ML Average, KNN Mean Average, KNN Exponential Average or None?
KNN Distance Type: We need to check if distance is within the KNN Min/Max distance, which distance checks are we using.
Machine Learning Length: How far back is our Machine Learning going to keep data for.
k-Nearest Neighbour (KNN) Length: How many k-Nearest Neighbours will we account for?
Fast ML Data Length: What is our Fast ML Length? This is used with our Slow Length to create our KNN Distance.
Slow ML Data Length: What is our Slow ML Length? This is used with our Fast Length to create our KNN Distance.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Anchored Average Price by Atilla Yurtseven (AAP)Anchored Average Price indicator is designed to pinpoint a specific date and price in a given financial instrument's price chart. Once anchored to the desired date and price level, the script calculates and displays the average price from that anchor point to the current day.
Features
Customizable Source: Allows users to choose the source data for calculations. By default, it uses hlc3, which is the average of high, low, and close prices.
Start Date Input: The script includes a timestamp-based input that allows the user to specify the anchor date easily.
Customizable Color: Users can change the color of the plotted average line, adding an additional layer of customization to the visual representation.
Code Mechanics
Initialization: Declares the variables and arrays required for calculations and display. The array is used to store price data.
Condition Check: Only starts storing and calculating data if the chart's time is equal to or greater than the user-defined start date.
Data Storing: Once the condition is met, the script pushes the src price data into the array for future averaging.
Average Calculation: It calculates the average price of the values stored in the array.
Data Clearing: If the condition is not met, the array is cleared, and no average is plotted.
Plotting: The average price is plotted on the chart with the user-defined color.
By incorporating these features and mechanics, AAP provides traders and investors with a powerful tool for assessing average prices anchored to a specific date or swing.
Disclaimer:
This TradingView script is intended for educational and informational purposes only and should not be considered as investment or trading advice. Past performance is not indicative of future results. Trading and investing carry a high level of risk, and you should consult with a qualified financial advisor before making any financial decisions. The creator of this script, Atilla Yurtseven, is not responsible for any losses or damages incurred as a result of using this script.
Trade smart, stay safe
Atilla Yurtseven
DiNapoli Control Panel CompactThis is a compact more customizable control panel to display the overall state of Dinapoli related indicators.
This indicator displays a matrix containing a customized set of Dinapoli indicator states from Higher Timeframes. It works as a Control Panel to properly monitor multiple layers of the market at an eye glance.
It can print the multi time frame state of the following indicators:
Macd Predictor
Oscillator Predictor
Stochastic Predictor
Trusht: Its presence and state of maturity
DMAs: 3x3, 7x5 and 25x5
In order to aid a custom display, it's designed to only supply color states in multiple time frames. This one doesn't provide the value reading of the indicators.
Only Higher Timeframes states do appear in the table. Lower Timeframes are hidden due to inability to get reliable results for such behaviour in current Tradingview environment.
By default only 5 timeframes get activated: 1H, 4H, 1D, 1W and 1M. But many more are available to be displayed throught the Input Tab.
The sorting of the rows and the position of the table can be customized through the input panel.
Kaufman Efficiency Ratio (KER)The Kaufman Efficiency Ratio (also known as the Efficiency Ratio or ER) is a technical indicator used in technical analysis to measure the efficiency of a financial instrument's price movement. It was developed by Perry J. Kaufman and is designed to help traders and analysts identify the trendiness or choppiness of a market.
The Kaufman Efficiency Ratio is calculated using the following formula:
ER = (Change in Price over N periods) / (Sum of the absolute price changes over N periods)
Here's how the formula works:
"Change in Price over N periods" is the net price change over a specified number of periods (usually days or bars). It's calculated by subtracting the closing price of N periods ago from the current closing price.
"Sum of the absolute price changes over N periods" is the sum of the absolute values of price changes (i.e., ignoring the direction) over the same N periods.
The resulting Efficiency Ratio (ER) value will fall within the range of 0 to 1, with 1 indicating a perfectly trending market and 0 indicating a perfectly choppy or range-bound market. In other words, the closer the ER is to 1, the stronger and more efficient the trend is perceived to be.
MA Slope [EMA Magic]█ Overview:
The MA Slope calculates the slope based on a given moving average.
The Moving Average Slope indicator allows you to identify the direction and the strength of a trend.
It calculates the rate of change in percentage based on the user-defined moving average.
█ Calculation: This indicator calculates the slope based on the changes of moving average and normalizes it with Average True Range(ATR).
The default value of ATR is 7.I recommend not changing it unless you know exactly what are you doing.
█ Input Settings:
The settings are divided into three sections:
The first section is for time frame adjustments. Modify it separately from the chart, Allows you to use moving averages from different time frames.
In the second section, you can configure the base calculation,including Moving Average and Average True Range(ATR) settings.
In the third section, you can detect breakout and sudden change signals, which are highlighted in the background of the indicator.
Note that When you change the breakout limit value, it also affects the band limit indicator on your chart.
To avoid signal confusion, use only one at a time.
Here is the example the breakout signals:
█ Usage:
When the slope is increasing, it indicates an uptrend.
When the slope is decreasing, it indicates a downtrend.
When the slope is moving around zero and choppy, it indicates no specific trend or price is in a range zone.
Uptrend and Range Zone example:
Downtrend example:
Slope peaks on extreme levels can signal a potential trend reversal point.
Breakout of the upper or lower bands can be translated into a trading signal.Indicating that price will probably continue to move in the direction of the breakout.
Favor long setups when the slope is increasing or it is positive and favor short setups when the slope is decreasing or it is negative.
Fits with any moving average you use, e.g., EMA, WMA, MA Ribbon, and more.
█ Alert
Alerts are available for both signal conditions.
█ Recap
Take the time to study price movements alongside this indicator for a deeper understanding.Whether you're a novice or experienced trader, this indicator can come helpful
MA + MACD alert TrendsThis is a strategy/combination of warning indicators using 6MA+MACD.
The strategy details are as follows: This is a simple warning strategy created so that we don't have to monitor the candlestick chart too often.
Note: This isn't an entry strategy; it's a signaling strategy for upcoming trends. For maximum efficiency, we should incorporate more formulas into the command. In the case below, I use Fibonacci to enter the command.
This strategy setting works for a 15-minute time frame, but it can still work for different time frames.
It has been working well with Gold and USOIL for the last two years, as well as with currency pairs like EURUSD and many others.
Components:
EMA100 + EMA200 + MA400 + MA800
MACD (timeframe greater than 1 timeframe)
Fibonacci retreat.
Uptrend alert:
Candles on both EMAs (100-200) + 2 SMAs (400-800)
In the previous 80 candles:
EMA100 cross up to EMA200
At the same time, the MACD cross up 0.
The uptrend warning will trigger when EMA6 cuts down to MA10. That's when the price creates the top and we'll wait for the market to go back to the Fibonacci threshold of 0.618 and start buying (or wait for markets to break up the trendline to buy).
Downtrend alert:
Candles are below both EMAs ( 100-200 ) + 2 SMAs ( 400-800 )
In the previous 80 candles:
EMA100 cross down to EMA200
At the same time, the MACD cross down zero.
The downtrend warning will trigger when EMA6 cuts to MA10. That's when the price creates a bottom and we'll wait for the market to go back to the Fibonacci threshold of 0.618 and start selling (or wait for the market to break down the trendline to sell).
Recommended RR: 1:1
If you have any questions please let me know!
Voluminati: Uncovering Market SecretsVoluminati: Uncovering Market Secrets
Overview:
The Voluminati indicator dives deep into the secrets of trading volume, providing traders with unique insights into the market's strength and direction. This advanced tool visualizes the Relative Strength Index (RSI) of trading volume alongside the traditional RSI of price, presenting an enriched perspective on market dynamics.
Features:
Volume RSI: A unique twist on the traditional RSI, the Volume RSI measures the momentum of trading volume. This can help identify periods of increasing buying or selling pressure.
Traditional RSI: The renowned momentum oscillator that measures the speed and change of price movements. Useful for identifying overbought or oversold conditions.
Moving Averages: Both the Volume RSI and traditional RSI come with optional moving averages. These can be toggled on or off and are customizable in type (SMA or EMA) and length.
Overbought & Oversold Fills: Visual aids that highlight regions where the Volume RSI is in overbought (above 70) or oversold (below 30) territories. These fills help traders quickly identify potential reversal zones.
How to Use:
Look for divergence between the Volume RSI and price, which can indicate potential reversals.
When the Volume RSI moves above 70, it might indicate overbought conditions, and when it moves below 30, it might indicate oversold conditions.
The optional moving averages can be used to identify potential crossover signals or to smooth out the oscillators for a clearer trend view.
Customizations:
Toggle the display of the traditional RSI and its moving average.
Choose the type (SMA/EMA) and length for both the Volume RSI and traditional RSI moving averages.
Note: Like all indicators, the Voluminati is best used in conjunction with other tools and analysis techniques. Always use proper risk management.
Momentum Madness (AKA: Moms Mad)The "Momentum Madness" indicator is a customizable technical analysis tool designed for TradingView. It aims to help traders assess price momentum and make informed trading decisions. Below is a description of how this indicator works:
Indicator Title and Settings:
The indicator is titled "Momentum Madness" with a short title "Moms Mad."
Users can customize various settings to tailor the indicator to their preferences.
Input Parameters:
Traders can set the lengths (periods) for four different momentum calculations (len1, len2, len3, len4).
They can specify a lookback period for trend direction determination.
Users can choose from three smoothing types (RMA, SMA, EMA) and set the smoothing length (smoothLength).
The indicator offers options to adjust momentum calculations based on volume (useVolumeWeight), RSI (useRSIAdjustment), and MACD (useMACDAdjustment).
If the trend filter is enabled (useTrendFilter), the indicator considers whether the price is above the 200-period SMA.
Traders can incorporate Bollinger Bands adjustments (useBBAdjustment) and set the Bollinger Bands length (bbLength).
A volatility adjustment can be applied (useVolatilityAdjustment), using the Average True Range (ATR) with a specified length (atrLength).
Smoothing Function:
The indicator offers three smoothing options: RMA, SMA, and EMA, allowing users to select their preferred method for smoothing price data.
Momentum Calculations:
The indicator calculates four different momentum values (mom1, mom2, mom3, mom4) by subtracting the current price from historical prices based on the specified lengths.
Enhancement Features:
Users can enhance momentum calculations through volume weighting, RSI adjustment, MACD adjustment, trend filtering, Bollinger Bands adjustment, and volatility adjustment, depending on their preferences.
Trend Direction Detection:
The indicator identifies the trend direction based on the comparison of the current momentum (mom4Smooth) with a momentum value from a specified lookback period. It determines whether the trend is bullish (green), bearish (red), or neutral (no change).
Plots:
The indicator visualizes the four smoothed momentum values (mom1Smooth, mom2Smooth, mom3Smooth, mom4Smooth) as separate plots on the chart, each with its own customizable color.
A zero line is displayed for reference (yellow).
The average momentum (averageMomentumSmooth) is plotted and can be customized with its own color.
The "Momentum 4" plot dynamically changes color based on trend direction (green for bullish, red for bearish).
Fill:
The indicator fills the area between the "Momentum 4" plot and the zero line with a customizable color to highlight bullish or bearish momentum.
Look for crossover events by studying the chart and understanding what they all mean. Happy trading :)
YinYang TrendTrend Analysis has always been an important aspect of Trading. There are so many important types of Trend Analysis and many times it may be difficult to identify what to use; let alone if an Indicator can/should be used in conjunction with another. For these exact reasons, we decided to make YinYang Trend. It is a Trend Analysis Toolkit which features many New and many Well Known Trend Analysis Indicators. However, everything in there is added specifically for the reason that it may work well in conjunction with the other Indicators prevalent within. You may be wondering, why bother including common Trend Analysis, why not make everything unique? Ideally, we would, however, you need to remember Trend Analysis may be one of the most common forms of charting. Therefore, many other traders may be using similar Trend Analysis either through plotting manually or within other Indicators. This all boils down to Psychology; you are trading against other traders, who may be seeing some of the similar information you are, and therefore, you may likewise want to see this information. What affects their trading decisions may affect yours as well.
Now enough about Trend Analysis, what is within this Indicator, and what does it do? Well, first let’s quickly mention all of its components, then we will, through a Tutorial, discuss each individually and finally how each comes together as a cohesive whole. This Indicator features many aspects:
Bull and Bear Signals
Take Profit Signals
Bull and Bear Zones
Information Tables displaying: (Boom Meter, Bull/Bear Strength, Yin/Yang State)
16 Cipher Signals
Extremes
Pivots
Trend Lines
Custom Bollinger Bands
Boom Meter Bar Colors
True Value Zones
Bar Strength Indexes
Volume Profile
There are many things to cover within our Tutorial so let's get started, chronologically from the list above.
Tutorial:
Bull and Bear Signals:
We’ve zoomed out quite a bit for this example to help give you a broader aspect of how these Bull and Bear signals work. When a signal appears, it is displaying that there may be a large amount of Bullish or Bearish Trend Analysis occurring. These signals will remain in their state of Bull or Bear until there is enough momentum change that they change over. There are a couple Options within the Settings that dictate when/where/why these signals appear, and this example is using their default Settings of ‘Medium’. They are, Purchase Speed and Purchase Strength. Purchase Speed refers to how much Price Movement is needed for a signal to occur and Purchase Strength refers to how many verifications are required for a signal to occur. For instance:
'High' uses 15 verifications to ensure signal strength.
'Medium' uses 10 verifications to ensure signal strength.
'Low' uses 5 verifications to ensure signal strength.
'Very Low' uses 3 verifications to ensure signal strength.
By default it is set to Medium (10 verifications). This means each verification is worth 10%. The verifications used are also relevant to the Purchase Speed; meaning they will be verified faster or slower depending on its speed setting. You may find that Faster Speeds and Lower Verifications may work better on Higher Time Frames; and Slower Speeds and Higher Verifications may work better on Lower Time Frames.
We will demonstrate a few examples as to how the Speed and Strength Settings work, and why it may be beneficial to adjust based on the Time Frame you’re on:
In this example above, we’ve kept the same Time Frame (1 Day), and scope; but we’ve changed Purchase Speed from Medium->Fast and Purchase Strength from Medium-Very Low. As you can see, it now generates quite a few more signals. The Speed and Strength settings that you use will likely be based on your trading style / strategy. Are you someone who likes to stay in trades longer or do you like to swing trade daily? Likewise, how do you go about identifying your Entry / Exit locations; do you start on the 1 Day for confirmation, then move to the 15/5 minute for your entry / exit? How you trade may determine which Speed and Strength settings work right for you. Let's jump to a lower Time Frame now so you can see how it works on the 15/5 minute.
Above is what BTC/USDT looks like on the 15 Minute Time Frame with Purchase Speed and Strength set to Medium. You may note that the signals require a certain amount of movement before they get started. This is normal with Medium and the amount of movement is generally dictated by the Time Frame. You may choose to use Medium on a Lower Time Frame as it may work well, but it may also be best to change it to a little slower.
We are still on the 15 Minute Time Frame here, however we simply changed Purchase Speed from Medium->Slow. As you can see, lots of the signals have been removed. Now signals may ‘hold their ground’ for much longer. It is important to adjust your Purchase Speed and Strength Settings to your Time Frame and personalized trading style accordingly.
Above we have now jumped down to the 5 Minute Time Frame. Our Purchase Speed is Slow and our Purchase Strength is Medium. We can see it looks pretty good, although there is some signal clustering going on in the middle there. If we change our Settings, we may be able to get rid of that.
We have changed our Purchase Speed from Slow->Snail (Slowest it can go) and Purchase Strength from Medium->Very Low (Lowest it can go). Changing it from Slow-Snail helped get rid of the signal clustering. You may be wondering why we lowered the Strength from Medium->Very Low, rather than going from Medium->High. This is a use case scenario and one you’ll need to decide for yourself, but we noticed when we changed the Speed from Slow->Snail that the signal clustering was gone, so then we checked both High and Very Low for Strengths to see which produced the best looking signal locations.
Please remember, you don’t have to use it the exact way we’ve displayed in this Tutorial. It is meant to be used to suit your Trading Style and Strategy. This is why we allow you to modify these settings, rather than just automating the change based on Time Frames. You’ll likely need to play around with it, as you’ll notice different settings may work better on certain pairs and Time Frames than others.
Take Profit Signals:
We’ve reset our Purchase Settings, everything is on defaults right now at Medium. We’ve enabled Take Profit signals. As you can see there are both Take Profit signals for the Bulls and the Bears. These signals are not meant to be used within automation. In fact, none of this indicator is. These signals are meant to show there has been a strong change in momentum, to such an extent that the signal may switch from its current (Bull or Bear) and now may be a good time to Take Profit. Your Take Profit Settings likewise has a Speed and Strength, and you can set them differently than your Purchase Settings. This is in case you want to Take Profit in a different manner than your Purchase Signals. For instance:
In the example above we’ve kept Purchase Strength and Speed at Medium but we changed our Take Profit Speed from Medium->Snail and our Take Profit Strength from medium->Very Low. This greatly reduces the amount of Take Profit signals, and in some cases, none are even produced. This form of Take Profit may act more as a Trailing Take Profit that if it’s not hit, nothing appears.
In this example we have changed our Purchase Speed from Medium->Fast, our Purchase Strength from Medium->Very Low. We’ve also changed our Take Profit Speed from Snail->Medium and kept our Take Profit Strength on Very Low. Now we may get our signals quicker and likewise our Take Profit may be more rare. There are many different ways you can set up your Purchase and Take Profit Settings to fit your Trading Style / Strategy.
Bull and Bear Zones:
We have disabled our Take Profit locations so that you can see the Bull and Bear Zones. These zones change color when the Signals switch. They may represent some strong Support and Resistance locations, but more importantly may be useful for visualizing changes in momentum and consolidation. These zones allow you to see various Moving Averages; and when they start to ‘fold’ (cross) each other you may see changes in momentum. Whereas, when they’re fully stretched out and moving all in the same direction, it can provide insight that the current rally may be strong. There is also the case where they look like they’re ‘twisted’ together. This happens when all of the Moving Averages are very close together and may be a sign of Consolidation. We will go over a few examples of each of these scenarios so you can understand what we’re referring to.
In this example above, there are a few different things happening. First we have the yellow circle, where the final and slowest Moving Average (MA) crossed over and now all of the MA’s that form the zone are Bullish. You can see this in the white circle where there are no MA’s that are crossing each other. Lastly, within the blue circle, we can see how some of the faster MA’s are crossing under each other. This is a bullish momentum change. The Faster moving MA’s will always be the first ones to cross before the Slower ones do. There is a color scheme in place here to represent the Speed of the MA within the Zone. Light blue is the fastest moving Bull color -> Light Green and finally -> Dark Green. Yellow is the fastest moving Bear color -> Orange and finally -> Red / Dark Red within the Zone.
Next we will review a couple different examples of what Consolidation looks like and why it is very important to look out for. Consolidation is when Most, if not All of the MA’s are very tightly ‘twisted’ together. There is very little spacing between almost all of the MA’s in the example above; highlighted by the white circle. Consolidation is important as it may indicate a strong price movement in either direction will occur soon. When the price is consolidating it means it has had very little upwards or downwards movement recently. When this happens for long enough, MA’s may all get very similar in value. This may cause high volatility as the price tries to break out of Consolidation. Let's look at another example.
Above we have two more examples of what Consolidation looks like and how high Volatility may occur after the Consolidation is broken. Please note, not all Consolidation will create high Volatility but it is something you may want to look out for.
Information Tables displaying: (Boom Meter, Bull/Bear Strength, Yin/Yang State):
Information tables are a very important way of displaying information. It contains 3 crucial pieces of information:
Boom Meter
Bull/Bear Strength
Yin/Yang State
Boom Meter is a meter that goes from 0-100% and displays whether the current price is Dumping (0 - 29%), Consolidating (30 - 70%) or Pumping (71 - 100%). The Boom Meter is meant to be a Gauge to how the price is currently fairing. It is composed of ~50 different calculations that all vary different weights to calculate its %. Many of the calculations it uses are likewise used in other things, such as the Bull/Bear Strength, Bull/Bear Zone MA cross’, Yin/Yang State, Market Cipher Signals, RSI, Volume and a few others. The Boom Meter, although not meant to be used solely to make purchase decisions, may give you a good idea of current market conditions considering how many different things it evaluates.
Bull/Bear Strength is relevant to your Purchase Speed and Strength. It displays which state it is currently in, and the % it is within that state. When a % hits 0, is when the state changes. When states change, they always start at 100% initially and will go down at the rate of Purchase Strength (how many verifications are needed). For instance, if your Purchase Strength is set to ‘Medium’ it will move 10% per verification +/-, if it is set to High, it will move 6.67% per verification +/-. Bull/Bear Strength is a good indicator of how well that current state is fairing. For instance if you started a Long when the state changed to Bull and now it is currently at Bull with 20% left, that may be a good indication it is time to get out (obviously refer to other data as well, but it may be a good way to know that the state is 20% away from transitioning to Bear).
Yin/Yang State is the strongest MA cross within our Indicator. It is unique in the sense that it is slow to change, but not so much that it moves slowly. It isn’t as simple as say a Golden/Death Cross (50/200), but it crosses more often and may hold similar weight as it. Yin stands for Negative (Bearish) and Yang stands for Positive (Bullish). The price will always be in either a state of Yin or Yang, and just because it is in one, doesn’t mean the price can’t/won’t move in the opposite direction; it simply means the price may be favoring the state it is in.
16 Cipher Signals:
Cipher Signals are key visuals of MA cross’ that may represent price movement and momentum. It would be too confusing and hard to decipher these MA’s as lines on a chart, and therefore we decided to use signals in the form of symbols instead. There are 12 Standard and 4 Predictive/Confirming Cipher signals. The Standard Cipher signals are composed of 6 Bullish and 6 Bearish (they all have opposites that balance each other out). There can never be 2 of the same signal in a row, as the Bull and Bear cancel each other out and it's always in a state of one or the other. When all 6 Bullish or Bearish signals appear in a row, very closely together, without any of the opposing signals it may represent a strong momentum movement is about to occur.
If you refer to the example above, you’ll see that the 6 Bullish Cipher signals appeared exactly as mentioned above. Shortly after the Green Circle appeared, there was a large spike in price movement in favor of the Bulls. Cipher signals don’t need to appear in a cluster exactly like the white circle in this photo for momentum to occur, but when it does, it may represent volatility more than if it is broken up with opposing signals or spaced out over a longer time span.
Above is an example of the opposite, where all 6 Bearish Cipher signals appeared together without being broken by a Bullish Cipher signal or being too far spaced out. As you can see, even though past it there was a few Bullish signals, they were quickly reversed back to Bearish before a large price movement occurred in favor of the Bears.
In the example above we’ve changed Cipher signals to Predictive and Confirming. Support Crosses (Green +) and Blood Diamonds (Red ♦) are the normal Cipher Signals that appear within the Standard Set. They are the first Cipher Signal that appears and are the most common ones as well. However, just because they are the first, that doesn’t mean they aren’t a powerful Cipher signal. For this reason, there are Predictive and Confirming Cipher signals for these. The Predictive do just that, they appear slightly sooner (if not the same bar) as the regular and the Confirming appear later (1+ bars usually). There will be times that the Predictive appears, but it doesn’t resort to the Regular appearing, or the Regular appears and the Confirming doesn’t. This is normal behavior and also the purpose of them. They are meant to be an indication of IF they may appear soon and IF the regular was indeed a valid signal.
Extremes:
Extremes are MA’s that have a very large length. They are useful for seeing Cross’ and Support and Resistance over a long period of time. However, because they are so long and slow moving, they might not always be relevant. It’s usually advised to turn them on, see if any are close to the current price point, and if they aren’t to turn them off. The main reason being is they stretch out the chart too much if they’re too far away and they also may not be relevant at that point.
When they are close to the price however, they may act as strong Support and Resistance locations as circled in the example above.
Pivots:
Pivots are used to help identify key Support and Resistance locations. They adjust on their own in an attempt to keep their locations as relevant as possible and likewise will adjust when the price pushes their current bounds. They may be useful for seeing when the Price is currently testing their level as this may represent Overbought or Oversold. Keep in mind, just because the price is testing their levels doesn’t mean it will correct; sometimes with high volatility or geopolitical news, movement may continue even if it is exhibiting Overbought or Oversold traits. Pivots may also be useful for seeing how far the price may correct to, giving you a benchmark for potential Take Profit and Stop Loss locations.
Trend Lines:
Trend Lines may be useful for identifying Support and Resistance locations on the Vertical. Trend Lines may form many different patterns, such as Pennants, Channels, Flags and Wedges. These formations may help predict and drive the price in specific directions. Many traders draw or use Indicators to help create Trend Lines to visualize where these formations will be and they may be very useful alone even for identifying possible Support and Resistance locations.
If you refer to the previous example, and now to this example, you’ll notice that the Trend Line that supported it in 2023 was actually created in June 2020 (yellow circle). Trend Lines may be crucial for identifying Support and Resistance locations on the Vertical that may withhold over time.
Custom Bollinger Bands:
Bollinger Bands are used to help see Movement vs Consolidation Zones (When it's wide vs narrow). It's also very useful for seeing where the correction areas may be. Price may bounce between top and bottom of the Bollinger Bands, unless in a pump or dump. The Boom Meter will show you whether it is currently: Dumping, Consolidation or Pumping. If combined with Boom Meter Bar Colors it may be a good indication if it will break the Bollinger Band (go outside of it). The Middle Line of the Bollinger Band (White Line) may be a very strong support / resistance location. If the price closes above or below it, it may be a good indication of the trend changing (it may indicate one of the first stages to a pump or dump). The color of the Bollinger Bands change based on if it is within a Bull or Bear Zone.
What makes this Bollinger Band special is not only that it uses a custom multiplier, but it also incorporates volume to help add weight to the calculation.
Boom Meter Bar Colors:
Boom Meter Bar Colors are a way to see potential Overbought and Oversold locations on a per bar basis. There are 6 different colors within the Boom Meter bar colors. You have:
Overbought and Very Bullish = Dark Green
Overbought and Slightly Bullish = Light Green
Overbought and Slight Bearish = Light Red
Oversold and Very Bearish = Dark Red
Oversold and Slightly Bearish = Orange
Oversold and Slightly Bullish = Light Purple
When there is no Boom Meter Bar Color prevalent there won’t be a color change within the bar at all.
Just because there is a Boom Meter Bar Color change doesn’t mean you should act on it purchase or sell wise, but it may be an indication as to how that bar is fairing in an Overbought / Oversold perspective. Boom Meter Bar Colors are mainly based on RSI but do take in other factors like price movement to determine if it is Overbought or Oversold. When it comes to Boom Meter Bar Color, you should take it as it is, in the sense that it may be useful for seeing how Individual bars are fairing, but also note that there may be things such as:
When there is Very Overbought (Dark Green) or Very Oversold (Dark Red), during massive pump or dumps, it will maintain this color. However, once it has lost ‘some’ momentum it will likely lose this color.
When there has been a massive Pump or Dump, and there is likewise a light purple or light red, this may mean there is a correction or consolidation incoming.
True Value Zones:
True Value zones are our custom way of displaying something that is similar to a Bollinger Band that can likewise twist like an MA cross. The main purpose of it is to display where the price may reside within. Much like a Bollinger Band it has its High and Low within its zone to specify this location. Since it has the ability to cross over and under, it has the ability to specify what it thinks may be a Bullish or Bearish zone. This zone uses its upper level to display what may be a Resistance location and its lower level to display what may be a Support location. These Support and Resistance locations are based on Momentum and will move with the price in an attempt to stay relevant.
You may use these True Values zones as a gauge of if the price is Overbought or Oversold. When the price faces high volatility and moves outside of the True Value Zones, it may face consolidation or likewise a correction to bring it back within these zones. These zones may act as a guideline towards where the price is currently valued at and may belong within.
Bar Strength Indexes:
Bar Strength Indexes are our way of ranking each bar in correlation to the last few. It is based on a few things but is highly influenced on Open/Close/High/Low, Volume and how the price has moved recently. They may attempt to ‘rate’ each bar and how Bullish/Bearish each of these bars are. The Green number under the bar is its Bullish % and the Red number above the bar is its Bearish %. These %’s will always equal 100% when combined together. Bar Strength Indexes may be useful for seeing when either Bullish or Bearish momentum is picking up or when there may be a reversal / consolidation.
These Bar Strength Indexes may allow you to decipher different states. If you refer to the example above, you may notice how based on how the numbers are changing, you may see when it has entered / exited Bullish, Bearish and Consolidation. Likewise, if you refer to the current bar (yellow circle), you can see that the Bullish % has dropped from 93 to 49; this may be signifying that the Bullish movement is losing momentum. You may use these changes in Bar Indexes as a guide to when to enter / end trades.
Volume Profile:
Volume Profile has been something that has been within TradingView for quite some time. It is a very useful way of seeing at what Horizontal Price there has been the most volume. This may be very useful for seeing not only Support and Resistance locations based on Volume, but also seeing where the majority of Limit Orders are placed. Limit Orders are where traders decide they want to either Buy / Sell but have the order placed so the trade won’t happen until the price reaches a certain amount. Either through many orders from many traders, or a single order from a ‘Whale’ (trader with a lot of capital); you may see Support and Resistance at specific Price Points that have large Volume.
Many Volume Profile Indicators feature a breakdown of all the different locations of volume, along with a Point Of Control (POC) line to designate where the most Volume has been. To try and reduce clutter within our already very saturated Toolkit Indicator, we’ve decided to strip our Volume Profile to only display this POC line. This may allow you to see where the crucial Volume Support and Resistance is without all of the clutter.
You may be wondering, well how important is this Volume Profile POC line and how do I go about using it? Aside from it being a gauge towards where Support and Resistance may be within Volume, it may also be useful for identifying good Long/Short locations. If you think of the line as a ‘Battle’ between the Bulls and Bears, they’re both fighting over that line. The Bears are wanting to break through it downwards, and the Bulls are wanting to break through it upwards. When one side has temporarily won this battle, this means they may have more Capital to push the price in their direction. For instance, if both the Bulls and the Bears are fighting over this POC price, that means the Bears think that price is a good spot to sell; however, the Bulls also deem that price to be a good point to buy. If the Bulls were to win this battle, that means the Bears either canceled their orders to reevaluate, or all of their orders have been completed from the Bulls buying them all. What may happen after that is, if the Bulls were able to purchase all of these Limit Sell Orders, then they may still have more Capital left to continue to pressure the price upwards. The same may be true for if the Bears were to win this ‘Battle’.
How to use YinYang Trend as a cohesive whole:
Hopefully you’ve read and understand how each aspect of this Indicator works on its own, as knowing how/what they each do is important to understanding how it is used as a cohesive whole. Due to the fact that this Toolkit of an Indicator displays so much data, you may find it easier to use and understand when you’re zoomed in a little, somewhat like we are in this example above.
If we refer to the example above, you may like us, deduce a few things:
1. The current price may be VERY Overbought. This may be seen by a few different things:
The Boom Meter Bar Colors have been exhibiting a Dark Green color for 6 bars in a row.
The price has continuously been moving the High (red) Pivot Upwards.
Our Boom Meter displays ‘Pumping’ at 100%.
The price broke through a Downward Trend Line that was created in February of 2022 at 45,000 like it was nothing.
The Bar Strength Index hit a Bullish value of 93%.
The Price broke out of the Bollinger Bands and continues to test its upper levels.
The Low is much greater than our fastest moving MA that creates the Purchase Zones.
The Price is vastly outside of the True Value Zone.
The Bar Strength Index of our current bar is 50% bullish, which is a massive decrease from the previous bar of 93%. This may indicate that a correction is coming soon.
2. Since we’ve identified the current price may be VERY Overbought, next we need to identify if/when/to where it may correct to:
We’ve created a new example here to display potential correction areas. There are a few places it has the ability to correct to / within:
The downward Trend Line (red) below the current bar sitting currently at 32,750. This downward Trend Line is at the same price point as the Fastest MA of our Purchase Zone which may provide some decent Support there.
Between two crucial Pivot heights, within a zone of 30,000 to 31,815. This zone has the second fastest MA from the Purchase Zone right near the middle of it at 31,200 which may act as a Support within the Zone. Likewise there is the Bollinger Band Basis which is also resting at 30,000 which may provide a strong Support location here.
If 30,000 fails there may be a correction all the way to the bottom of our True Value Zone and the top of one of our Extremes at 27,850.
If 27,850 fails it may correct all the way to the bottom of our Purchase Zone / lowest of our Extremes at 27,350.
If all of the above fails, it may test our Volume Profile POC of 26,430. If this POC fails, the trend may switch to Bearish and continue further down to lower levels of Support.
The price can always correct more than the prices mentioned above, but considering overall this Indicator is favoring the Bulls, we will tailor this analysis in Favor of the Bullish Momentum maintaining even during this correction. For these reasons, we think the price may correct between the 30,000 and 31,815 zone before continuing upwards and maintaining this Bullish Momentum.
Please note, these correction estimates are just that, they’re estimates. Aside from the fact that the price is very overbought right now and our Bar Strength Index may be declining (bar hasn’t closed yet); the Boom Meter Strength remains at 100%, meaning there may not be much Bearish momentum changes happening yet. We just want to show you how an Preemptive analysis may be done before there are even Bearish Cipher Signals appearing.
Using this Indicator, you may be able to decipher Entry and Exits. In the previous example, we went over how you may use it to see where a correction (Exit / Take Profit) may be and how far this correction may go. In this example above we will be discussing how to identify Entry locations. We will be discussing a Bullish Buy entry but the same rules apply for a Bearish Sell Entry just the opposite with the Cipher Signals.
If you refer to where we circled in white, this is where the Purchase Zones faced Consolidation. When the Purchase Zones all get tight and close together like that, this may represent Volatility and Momentum in either direction may occur soon.
This was then followed by all 6 of the Standard Cipher Signals closely in succession to each other. This means the Momentum may be favoring the Bulls. If this was likewise all 6 of the Bearish Cipher Signals closely in succession, than the momentum change would favor the Bears.
If you were looking for an entry, and you saw Consolidation with the Purchase Zones and then shortly after you saw the Green Circle and Blue Flag (they can swap order); this may now be a good Entry location.
We will conclude this Tutorial here. Hopefully this has taught you how this Trend Analysis Toolkit may help you locate multiple different types of important Support and Resistance locations; as well as possible Entry and Exit locations.
Settings:
1. Bull/Bear Zones:
1.1. Purchase Speed (Bull/Bear Signals and Take Profit Signals):
Speed determines how much price movement is needed for a signal to occur.
'Sonic' uses the extremities to try and get you the best entry and exit points, but is so quick, its speed may reduce accuracy.
'Fast' may attempt to capitalize on price movements to help you get SOME or attempt to lose LITTLE quickly.
'Medium' may attempt to get you the most optimal entry and exit locations, but may miss extremities.
'Slow' may stay in trades until it is clear that momentum has changed.
'Snail' may stay in trades even if momentum has changed. Snail may only change when the price has moved significantly (This may result in BIG gains, but potentially also BIG losses).
1.2. Purchase Strength (Bull/Bear Signals and Take Profit Signals):
Strength ensures a certain amount of verifications required for signals to happen. The more verifications the more accurate that signal is, but it may also change entry and exit points, and you may miss out on some of the extremities. It is highly advised to find the best combination between Speed and Strength for the TimeFrame and Pair you are trading in, as all pairs and TimeFrames move differently.
'High' uses 15 verifications to ensure signal strength.
'Medium' uses 10 verifications to ensure signal strength.
'Low' uses 5 verifications to ensure signal strength.
'Very Low' uses 3 verifications to ensure signal strength.
2. Cipher Signals:
Cipher Signals are very strong EMA and SMA crosses, which may drastically help visualize movement and help you to predict where the price will go. All Symbols have counter opposites that cancel each other out (YinYang). Here is a list, in order of general appearance and strength:
White Cross / Diamond (Predictive): The initial indicator showing trend movement.
Green Cross / Diamond (Regular): Confirms the Predictive and may add a fair bit of strength to trend movement.
Blue Cross / Diamond (Confirming): Confirms the Regular, showing the trend might have some decent momentum now.
Green / Red X: Gives momentum to the current trend direction, possibly confirming the Confirming Cross/Diamond.
Blue / Orange Triangle: may confirm the X, Possible pump / dump of decent size may be coming soon.
Green / Red Circle: EITHER confirms the Triangle and may mean big pump / dump is potentially coming, OR it just hit its peak and signifies a potential reversal correction. PAY ATTENTION!
Green / Red Flag: Oddball that helps confirm trend movements on the short term.
Blue / Yellow Flag: Oddball that helps confirm trend movements on the medium term (Yin / Yang is the long term Oddball).
3. Bull/Bear Signals:
Bear and Bull signals are where the momentum has changed enough based on your Purchase Speed and Strength. They generally represent strong price movement in the direction of the signal, and may be more reliable on higher TimeFrames. Please don’t use JUST these signals for analysis, they are only meant to be a fraction of the important data you are using to make your technical analysis.
4. Take Profit Signals:
Take Profit signals are guidelines that momentum has started to change back and now may be a good time to take profit. Your Take Profit signals are based on your Take Profit Speed and Strength and may be adjusted to fit your trading style.
5. Information Tables:
Information tables display very important data and help to declutter the screen as they are much less intrusive compared to labels. Our Information tables display: Boom Meter, Purchase Strength of Bull/Bear Zones and Yin/Yang State.
Boom Meter: Uses over 50 different calculations to determine if the pair is currently 'Dumping' (0-29%), 'Consolidating' (30-70%), or 'Pumping' (71-100%).
Bull / Bear Strength: Shows the strength of the current Bull / Bear signal from 0-100% (Signals start at 100% and change when they hit 0%). The % it moves up or down is based on your 'Purchase Strength'.
Yin / Yang state: Is one of the strongest EMA/SMA crosses (long term Oddball) within this Indicator and may be a great indication of which way the price is moving. Do keep in mind if the price is consolidating when changing state, it may have the highest chance of switching back also. Once momentum kicks in and there is price movement the state may be confirmed. Refer to other Cipher Symbols, Extremes, Trend, BOLL, Boom %, Bull / Bear % and Bar colors when Bull / Bear Zones are consolidating and Yin / Yang State changes as this is a very strong indecision zone.
6. Bull / Bear Zones:
Our Bull / Bear zones are composed of 8 very important EMA lengths that may act as not only Support and Resistance, but they help to potentially display consolidation and momentum change. You can tell when they are getting tight and close together it may represent consolidation and when they start to flip over on each other it may represent a change in momentum.
7. MA Extremes:
Our MA Extremes may be 3 of the most important long term moving averages. They don’t always play a role in trades as sometimes they’re way off from the price (cause they’re extreme lengths), but when they are around price or they cross under or over each other, it may represent large changes in price are about to occur. They may be very useful for seeing strong resistance / support locations based on price averages. Extremes may transition from a Support to a Resistance based on its position above or below them and how many times the price has either bounced up off them (Supporting) or Bounced back down after hitting them (Resistance).
8. Pivots:
Pivots may be a very important indicator of support and resistance for horizontal price movement. Pivots may represent the current strongest Support and Resistance. When the Pivot changes, it means a new strong Support or Resistance has been created. Sometimes you'll notice the price constantly pushes the pivot during a massive Pump or Dump. This is normal, and may indicate high levels of volatility. This generally also happens when the price is outside of the Bollinger Bands and is also Over or Undervalued. The price usually consolidates for a while after something like this happens before more drastic movement may occur.
9. Trend Lines:
Trend lines may be one of the best indicators of support and resistance for diagonal price movement. When a Trend Line fails to hold it may be a strong indication of a dump. Keep a close eye to where Upward and Downward Trend Lines meet. Trend lines can create different trading formations known as Pennants, Flags and Wedges. Please familiarize yourself with these formations So you know what to look for.
10. Bollinger Bands (BOLL):
Bollinger Bands may be very useful, and ours have been customized so they may be even more accurate by using a modified calculation that also incorporates volume.
Bollinger Bands may be used to see Movement vs Consolidation Zones (When it’s wide vs narrow). It also may be very useful for seeing where the correction areas are likely to be. Price may bounce between top and bottom of the BOLL, unless perhaps in a pump or dump. The Boom Meter may show you whether it is currently: Dumping, Consolidation or Pumping, along with Boom Meter Bar Colors, may be a good indication if it will break the BOLL. The Middle Line of the BOLL (White Line) may be a very strong support / resistance line. If the price closes above or below it, it may be a good indication of the trend changing (it may be one of the first stages to a pump or dump).
11. Boom Meter Bar Colors:
Boom Meter bar colors may be very useful for seeing when the bar is Overbought or Underbought. There are 6 different types of boom meter bar colors, they are:
Dark Green: RSI may be very Overbought and price going UP (May be in a big pump. NOTICE, chance of small dump correction if Cherry Red bar appears).
Light Green: RSI may be slightly Overbought and price going UP (chance of small pump).
Light Purple: RSI may be very Underbought and price going UP (May have chance of small correction).
Dark Red: RSI may be very Underbought and price going DOWN (May be in a big dump. NOTICE, chance of small pump correction if Light Purple bar appears).
Light Orange: RSI may be slightly Underbought and price going DOWN (chance of small dump).
Cherry Red: RSI may be very Overbought and price going DOWN (Chance of small correction).
12. True Value Zone:
True Value Zones display zones that represent ranges to show what the price may truly belong within. They may be very useful for knowing if the Price is currently not valued correctly, which generally means a correction may happen soon. True Value Zones can swap from Bullish to Bearish and are represented by Red for Bearish and Green for Bullish. For example, if the price is ABOVE and OUTSIDE of the True Value Zone, this means it may be very overvalued and might correct to go back inside the True Value Zone. This correction may be done by either dumping in price back into the zone, or consolidating horizontally back into it over a longer period of time. Vice Versa is also true if it is BELOW and OUTSIDE of the True Value Zone.
13. Bar Strength Index:
Bar Strength Index may display how Bullish/Bearish the current bar is. The strength is important to help see if a pump may be losing momentum or vice versa if a dump may correct. Keep in mind, the Bar Strength Index does a small 'refresh' to account for new bars. It may help to keep the Index more accurate.
14. Volume Profile:
Volume Profiles may be important to know where the Horizontal Support/Resistance is in Price base on Volume. Our Volume Profile may identify the point where the most volume has occurred within the most relevant timeframe. Volume Profiles are helpful at identifying where Whales have their orders placed. The reason why they are so helpful at identifying whales is when the volume is profiled to a specific area, there may likely be lots of Limit Buy and/or Sells around there. Limit Buys may act as Support and Limit Sells may act as Resistance. It may be very useful to know where these lie within the price, similar to looking at Order Book Data for Whale locations.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
ZIP Entry Strategy( Using 50 SMA and 100 SMA)Description:
This strategy uses only two simple moving averages, specifically the 50 SMA and the 100 SMA.
Simple moving average : A simple moving average (SMA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
Here's how it works:
Background color:
The chart background is colored green when the price is above the 100 SMA.
The chart background turns red when the price is below the 100 SMA.
The greenback ground suggest the bullish momentum and the red background suggests the bearish momentum.
We can use this long term trend to take the trades in alignment with the trend to increase our odds.
We will use the 50 SMA to identify the spots when a new trend is starting. When the price crosses above the 50 SMA while the background is green, the candle/bar color changes to white indicating a new trend beginning.
Conversely, when the price crosses below the 50 SMA while the background is red, the candle/bar color also changes to white indicating a new trend beginning.
The occurrence of white candles indicates the start of a potential new trend in alignment with the long term trend.
However, it's essential to remember that like any trading strategy, this one is not perfect. For more reliable results, it's advisable to combine it with a consideration of the overall price structure to minimize false entry signals.
Originality and usefulness
Even though it makes use of two moving averages, we don't use the moving average crossover. The moving average crossovers are either lagging or provide too many false signals. We have tried to address these issue with this strategy. While maintaining the long-term trend and ignoring false signals, it gives out signals early.
You can choose the moving average that best suits your needs by changing these moving averages to a different moving average . The 50 SMA and 100 SMA appeared to be giving the better signals in my experience.
I dont use any other indicators but i would like to check the price structure to make sure its moving along with the 50 SMA. Sometimes the choppy markets might give false signals.
Its okay to see multiple white candles as long as the price structure holds.
I have highlighted the white candles in the above chart. The color of the candle is always the same so the background decides whether its bearish or bullish cross
Triple EMA By Ozy
**Triple EMA By Ozy**
The "Triple EMA By Ozy" is a visual indicator that offers traders a clear and concise view of three exponential moving averages (EMAs) at a glance. This tool combines three common EMAs (20, 50, and 200) and additionally calculates and displays the slope angle of each EMA, allowing for a more precise identification of the current trend's direction and strength.
**Key Features:**
1. **Three EMAs in One Indicator:** The 20, 50, and 200-period EMAs are popular among traders and are crucial for identifying short, medium, and long-term trends.
2. **Slope Angle:** The indicator calculates the slope angle for each EMA, which can be indicative of the trend's strength. A positive angle suggests bullish momentum, while a negative angle indicates bearish momentum.
3. **Clear Visual Indication:** The indicator uses colors to easily distinguish between EMAs and also to identify the direction of the slope angle (green for positive, red for negative).
**How to Use:**
- An increasing angle in the EMA20 may indicate the beginning of a new short-term upward trend.
- A decreasing angle in the EMA200 might signal a long-term downtrend gaining strength.
- Crosses between the EMAs can also be points of interest, like the golden cross (EMA50 crossing above the EMA200) or the death cross (EMA50 crossing below the EMA200).
**Triple EMA By Ozy**
El "Triple EMA By Ozy" es un indicador visual que proporciona a los traders una visión clara y concisa de tres medias móviles exponenciales (EMAs) en un solo vistazo. Esta herramienta combina tres EMAs comunes (20, 50 y 200) y, además, calcula y muestra el ángulo de inclinación de cada EMA para identificar con mayor precisión la dirección y la fuerza de la tendencia actual.
**Características principales:**
1. **Tres EMAs en un solo indicador:** Las EMAs de 20, 50 y 200 períodos son populares entre los traders y son esenciales para identificar tendencias a corto, mediano y largo plazo.
2. **Ángulo de inclinación:** El indicador calcula el ángulo de inclinación de cada EMA, que puede ser un indicativo de la fuerza de la tendencia. Un ángulo positivo sugiere un impulso alcista, mientras que un ángulo negativo indica un impulso bajista.
3. **Indicación visual clara:** El indicador utiliza colores para distinguir fácilmente entre EMAs y también para identificar la dirección del ángulo de inclinación (verde para positivo, rojo para negativo).
**Cómo usar:**
- Un ángulo creciente en la EMA20 puede indicar el comienzo de una nueva tendencia al alza a corto plazo.
- Un ángulo decreciente en la EMA200 puede ser una señal de una tendencia bajista a largo plazo que está ganando fuerza.
- Los cruces entre las EMAs también pueden ser puntos de interés, como el cruce dorado (EMA50 cruza por encima de la EMA200) o el cruce de la muerte (EMA50 cruza por debajo de la EMA200).
SpiceIn the chart photo is a description for each shape and letter, saying what each one is.
BB, Reversals are off by default.
BB + Reversals + Next bar confirmation - The way this should be used is by waiting for a 1 or 2 bar confirmation closed above/below the high/low of the Reversal candle. So if its a Top R, a yellow box will print as a confirmed 1 bar if it closed below the top R's low, then you can wait for the second bar to close also below the Top R's low. Vice versa with the Bot R.
RSI arrows - Essentially showing you when the multi time frame RSIs are coming back up above 30, or below 70. Respective to what time frames you have selected.
Three Line Strike - A trend continuation candlestick pattern consisting of four candles
Leledc Exhaustion suggest the trend may be reversing. Combined with the moving average as a trend filter, the indicator can signal the end of a pull back and the continuation of the trend.
EMAs - Help measuring the trend direction over a period of time.
Credit to all these amazing creators -
Multi Timeframe RSI (LTF) by @millerrh
3 Line Strike by @Lij_MC 'MarketVision A'
Leledc Exhaustion by @glaz, used updated version by @Joy_Bangla
If anyone uses the BB reversals source code to put into their own indicator/strategy, you are free to do so. Just send me a message I'd love to see your work with it! :)
Thanks to Lij_MC's MarketVision A indicator for inspiring me to add more features. At first it was just the RSI Arrows and the BB reversals candles + Condition but then I found MarketVision A and loved the extra Leledc and 3 Line Strike features.
Hope you enjoy this Spice!
No Signal is 100% correct at what it's trying to do. Use caution when trading!
Practice Risk Management.
MA Sabres [LuxAlgo]The "MA Sabres" indicator highlights potential trend reversals based on a moving average direction. Detected reversals are accompanied by an extrapolated "Sabre" looking shape that can be used as support/resistance and as a source of breakouts.
🔶 USAGE
If a selected moving average (MA) continues in the same direction for a certain time, a change in that direction could signify a potential reversal.
In this publication, when a trend change occurs, a sabre-shaped figure is drawn which can be used as support/resistance:
A sabre can be indicative of a direction, however, it can also act as a stop-loss when the price should go in the opposite direction:
Or show potential areas of interest:
🔶 DETAILS
This publication will look for a change in direction after the MA went in the same direction during x consecutive bars (settings: " Reversal after x bars in the same direction ").
Then a circle-shaped drawing will be drawn 1 bar back, at the previous high/low, dependable of the previous direction.
From there originates a sabre-shaped figure where the tip lies as far as the user-set MA length.
The angle of the "sabre" relies on the ATR of the previous 14 bars.
Less volatility will create a flatter sabre while the opposite is true when there is more volatility in the previous 14 bars.
The sabre is created by the latest feature, polylines , which enables us to connect several 'points', resulting in a polyline.new() object.
Do note that sabres are offset by one bar to the past to align their locations.
🔶 SETTINGS
MA Type: SMA, EMA, SMMA (RMA), HullMA, WMA, VWMA, DEMA, TEMA, NONE (off)
Length: this sets the length of MA, and the length of the sabre shape
Previous Trend Duration: After the MA direction is the same for x consecutive bars, the first time the direction changes, a sabre is drawn
TrendCryptoThe _trendcrypto script is a trading strategy that uses a variety of indicators to identify potential trading opportunities, including the Parabolic SAR, ADX, and RSI.
The script first calculates the RMA, SMA, and trend direction. The RMA is a moving average that is weighted more heavily towards recent prices. The SMA is a simple moving average that gives equal weight to all prices in the period. The trend direction is calculated by comparing the current price to the price a certain number of periods ago.
The script then uses the RMA, SMA, and trend direction to identify potential trading opportunities. If the current price is above the RMA and the trend direction is up, the script will generate a buy signal. If the current price is below the RMA and the trend direction is down, the script will generate a sell signal.
The script also calculates the Parabolic SAR, which is a technical indicator that helps traders identify potential trend reversals. The Parabolic SAR is calculated using a formula that takes into account the high and low prices of a security over a specified period of time.
The script also calculates the ADX, which is a trend strength indicator. The ADX is calculated using a formula that takes into account the difference between the high and low prices of a security, as well as the difference between the closing price and the previous close.
The script also calculates the RSI, which is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is calculated over a specified period of time, and the default value in the code is 14.
The script also allows users to specify a stop loss and take profit level for each trade. The default stop loss level is 4% and the default take profit level is 7%.
Machine Learning: Optimal RSI [YinYangAlgorithms]This Indicator, will rate multiple different lengths of RSIs to determine which RSI to RSI MA cross produced the highest profit within the lookback span. This ‘Optimal RSI’ is then passed back, and if toggled will then be thrown into a Machine Learning calculation. You have the option to Filter RSI and RSI MA’s within the Machine Learning calculation. What this does is, only other Optimal RSI’s which are in the same bullish or bearish direction (is the RSI above or below the RSI MA) will be added to the calculation.
You can either (by default) use a Simple Average; which is essentially just a Mean of all the Optimal RSI’s with a length of Machine Learning. Or, you can opt to use a k-Nearest Neighbour (KNN) calculation which takes a Fast and Slow Speed. We essentially turn the Optimal RSI into a MA with different lengths and then compare the distance between the two within our KNN Function.
RSI may very well be one of the most used Indicators for identifying crucial Overbought and Oversold locations. Not only that but when it crosses its Moving Average (MA) line it may also indicate good locations to Buy and Sell. Many traders simply use the RSI with the standard length (14), however, does that mean this is the best length?
By using the length of the top performing RSI and then applying some Machine Learning logic to it, we hope to create what may be a more accurate, smooth, optimal, RSI.
Tutorial:
This is a pretty zoomed out Perspective of what the Indicator looks like with its default settings (except with Bollinger Bands and Signals disabled). If you look at the Tables above, you’ll notice, currently the Top Performing RSI Length is 13 with an Optimal Profit % of: 1.00054973. On its default settings, what it does is Scan X amount of RSI Lengths and checks for when the RSI and RSI MA cross each other. It then records the profitability of each cross to identify which length produced the overall highest crossing profitability. Whichever length produces the highest profit is then the RSI length that is used in the plots, until another length takes its place. This may result in what we deem to be the ‘Optimal RSI’ as it is an adaptive RSI which changes based on performance.
In our next example, we changed the ‘Optimal RSI Type’ from ‘All Crossings’ to ‘Extremity Crossings’. If you compare the last two examples to each other, you’ll notice some similarities, but overall they’re quite different. The reason why is, the Optimal RSI is calculated differently. When using ‘All Crossings’ everytime the RSI and RSI MA cross, we evaluate it for profit (short and long). However, with ‘Extremity Crossings’, we only evaluate it when the RSI crosses over the RSI MA and RSI <= 40 or RSI crosses under the RSI MA and RSI >= 60. We conclude the crossing when it crosses back on its opposite of the extremity, and that is how it finds its Optimal RSI.
The way we determine the Optimal RSI is crucial to calculating which length is currently optimal.
In this next example we have zoomed in a bit, and have the full default settings on. Now we have signals (which you can set alerts for), for when the RSI and RSI MA cross (green is bullish and red is bearish). We also have our Optimal RSI Bollinger Bands enabled here too. These bands allow you to see where there may be Support and Resistance within the RSI at levels that aren’t static; such as 30 and 70. The length the RSI Bollinger Bands use is the Optimal RSI Length, allowing it to likewise change in correlation to the Optimal RSI.
In the example above, we’ve zoomed out as far as the Optimal RSI Bollinger Bands go. You’ll notice, the Bollinger Bands may act as Support and Resistance locations within and outside of the RSI Mid zone (30-70). In the next example we will highlight these areas so they may be easier to see.
Circled above, you may see how many times the Optimal RSI faced Support and Resistance locations on the Bollinger Bands. These Bollinger Bands may give a second location for Support and Resistance. The key Support and Resistance may still be the 30/50/70, however the Bollinger Bands allows us to have a more adaptive, moving form of Support and Resistance. This helps to show where it may ‘bounce’ if it surpasses any of the static levels (30/50/70).
Due to the fact that this Indicator may take a long time to execute and it can throw errors for such, we have added a Setting called: Adjust Optimal RSI Lookback and RSI Count. This settings will automatically modify the Optimal RSI Lookback Length and the RSI Count based on the Time Frame you are on and the Bar Indexes that are within. For instance, if we switch to the 1 Hour Time Frame, it will adjust the length from 200->90 and RSI Count from 30->20. If this wasn’t adjusted, the Indicator would Timeout.
You may however, change the Setting ‘Adjust Optimal RSI Lookback and RSI Count’ to ‘Manual’ from ‘Auto’. This will give you control over the ‘Optimal RSI Lookback Length’ and ‘RSI Count’ within the Settings. Please note, it will likely take some “fine tuning” to find working settings without the Indicator timing out, but there are definitely times you can find better settings than our ‘Auto’ will create; especially on higher Time Frames. The Minimum our ‘Auto’ will create is:
Optimal RSI Lookback Length: 90
RSI Count: 20
The Maximum it will create is:
Optimal RSI Lookback Length: 200
RSI Count: 30
If there isn’t much bar index history, for instance, if you’re on the 1 Day and the pair is BTC/USDT you’ll get < 4000 Bar Indexes worth of data. For this reason it is possible to manually increase the settings to say:
Optimal RSI Lookback Length: 500
RSI Count: 50
But, please note, if you make it too high, it may also lead to inaccuracies.
We will conclude our Tutorial here, hopefully this has given you some insight as to how calculating our Optimal RSI and then using it within Machine Learning may create a more adaptive RSI.
Settings:
Optimal RSI:
Show Crossing Signals: Display signals where the RSI and RSI Cross.
Show Tables: Display Information Tables to show information like, Optimal RSI Length, Best Profit, New Optimal RSI Lookback Length and New RSI Count.
Show Bollinger Bands: Show RSI Bollinger Bands. These bands work like the TDI Indicator, except its length changes as it uses the current RSI Optimal Length.
Optimal RSI Type: This is how we calculate our Optimal RSI. Do we use all RSI and RSI MA Crossings or just when it crosses within the Extremities.
Adjust Optimal RSI Lookback and RSI Count: Auto means the script will automatically adjust the Optimal RSI Lookback Length and RSI Count based on the current Time Frame and Bar Index's on chart. This will attempt to stop the script from 'Taking too long to Execute'. Manual means you have full control of the Optimal RSI Lookback Length and RSI Count.
Optimal RSI Lookback Length: How far back are we looking to see which RSI length is optimal? Please note the more bars the lower this needs to be. For instance with BTC/USDT you can use 500 here on 1D but only 200 for 15 Minutes; otherwise it will timeout.
RSI Count: How many lengths are we checking? For instance, if our 'RSI Minimum Length' is 4 and this is 30, the valid RSI lengths we check is 4-34.
RSI Minimum Length: What is the RSI length we start our scans at? We are capped with RSI Count otherwise it will cause the Indicator to timeout, so we don't want to waste any processing power on irrelevant lengths.
RSI MA Length: What length are we using to calculate the optimal RSI cross' and likewise plot our RSI MA with?
Extremity Crossings RSI Backup Length: When there is no Optimal RSI (if using Extremity Crossings), which RSI should we use instead?
Machine Learning:
Use Rational Quadratics: Rationalizing our Close may be beneficial for usage within ML calculations.
Filter RSI and RSI MA: Should we filter the RSI's before usage in ML calculations? Essentially should we only use RSI data that are of the same type as our Optimal RSI? For instance if our Optimal RSI is Bullish (RSI > RSI MA), should we only use ML RSI's that are likewise bullish?
Machine Learning Type: Are we using a Simple ML Average, KNN Mean Average, KNN Exponential Average or None?
KNN Distance Type: We need to check if distance is within the KNN Min/Max distance, which distance checks are we using.
Machine Learning Length: How far back is our Machine Learning going to keep data for.
k-Nearest Neighbour (KNN) Length: How many k-Nearest Neighbours will we account for?
Fast ML Data Length: What is our Fast ML Length? This is used with our Slow Length to create our KNN Distance.
Slow ML Data Length: What is our Slow ML Length? This is used with our Fast Length to create our KNN Distance.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Heikin Ashi Smoothed Buy Sell with Filters Backtest What is the Heikin Ashi Smoothed Buy Sell with Filters Backtest ?
It is the backtesting version of the Heikin Ashi Smoothed Buy Sell with Filters indicator.
This Pine Script code defines a complex indicator used to determine buy-sell signals on financial charts. The indicator operates based on the smoothed version of Heikin Ashi and is fortified with various filters.
1. Parameters and Settings:
At the start of the code, there are a series of input parameters for the user to customize the indicator. These parameters include:
Trend Filter: Checks whether it is above or below the long-term moving average.
Momentum Filter: Uses the RSI (Relative Strength Index) indicator to check if the market is overbought or oversold.
Volatility Filter: Evaluates the market's volatility level using the ATR (Average True Range) indicator.
Volume Filters: Uses various volume-related parameters to measure the strength of the trade signal.
Trade Settings: Specifies percentage values for target and stop-loss levels to be used in trading.
Moving Average Settings: Allows you to select which moving average to use and its duration.
2. Heikin Ashi Smoothed Calculations:
Heikin Ashi is a charting method used to more clearly represent price movements. The smoothed Heikin Ashi ensures smoother price movements.
3. Moving Average Calculations:
The indicator contains a function to calculate different types of moving averages. These moving averages are used to determine the market trend.
4. Filters:
This indicator includes a series of filters to enhance the quality of the signal. Filters help reduce false signals and produce more robust trading signals.
5. Buy-Sell Signals:
All these filters and calculations are brought together to determine potential buy and sell signals. Signals are triggered when all the specified conditions are met.
6. Chart Visualizations:
This indicator uses various plotting functions to visualize signals and trend information on the chart. This allows the user to easily see signals and the trend on the chart.
7. Trade Settings:
When buy and sell signals are triggered, this section checks if it has reached the specified targets and stop-loss levels.
8. Alerts:
This indicator also sends alerts to the user when specific conditions are met. This ensures that the user doesn't miss potential trading opportunities.
In conclusion, this Pine Script indicator produces buy-sell signals by analyzing market movements and applying various filters. Based on the smoothed version of Heikin Ashi, this indicator is useful for trend followers and is fortified with various filters, thus enhancing the quality of trading signals.
Heikin Ashi Smoothed Buy Sell with Filters Backtest Nedir?
Heikin Ashi Smoothed Buy Sell with Filters indikatörünün backtest yapan versiyonudur
Bu Pine Script kodu, finansal grafiklerde al-sat sinyallerini belirlemek için kullanılan karmaşık bir göstergeyi tanımlar. Gösterge, Heikin Ashi'nin yumuşatılmış sürümünü temel alarak çalışır ve çeşitli filtrelerle güçlendirilmiştir.
1. Parametreler ve Ayarlar:
Kodun başlangıcında, kullanıcının göstergeyi kişiselleştirmesi için bir dizi giriş parametresi bulunmaktadır. Bu parametreler şunları içerir:
Trend Filtresi: Uzun vadeli hareketli ortalamanın üstünde veya altında olup olmadığını kontrol eder.
Momentum Filtresi: RSI (Göreceli Güç Endeksi) göstergesini kullanarak piyasanın aşırı alım veya aşırı satım durumunu kontrol eder.
Oynaklık Filtresi: ATR (Ortalama Gerçek Aralık) göstergesi ile piyasanın oynaklık seviyesini değerlendirir.
Hacim Filtreleri: Ticaret sinyalinin gücünü ölçmek için hacimle ilgili çeşitli parametreleri kullanır.
Ticaret Ayarları: Ticarette kullanılacak hedef ve stop-loss seviyeleri için yüzdelik değerleri belirtir.
Hareketli Ortalama Ayarları: Hangi hareketli ortalamayı kullanacağınızı ve bu ortalamanın süresini seçmenizi sağlar.
2. Heikin Ashi Yumuşatılmış Hesaplamaları:
Heikin Ashi, fiyat hareketlerini daha net bir şekilde göstermek için kullanılan bir grafikleme yöntemidir. Yumuşatılmış Heikin Ashi, fiyat hareketlerinin daha pürüzsüz olmasını sağlar.
3. Hareketli Ortalama Hesaplamaları:
Gösterge, farklı türde hareketli ortalamaları hesaplamak için bir fonksiyon içerir. Bu hareketli ortalamalar, piyasa trendini belirlemek için kullanılır.
4. Filtreler:
Bu gösterge, sinyal kalitesini artırmak için bir dizi filtre içerir. Filtreler, yanlış sinyalleri azaltmaya yardımcı olur ve daha sağlam ticaret sinyalleri üretir.
5. Al-Sat Sinyalleri:
Tüm bu filtreler ve hesaplamalar, potansiyel al ve sat sinyallerini belirlemek için bir araya getirilir. Sinyaller, belirlenen koşulların tümü karşılandığında tetiklenir.
6. Grafik Görselleştirmeleri:
Bu gösterge, sinyalleri ve trend bilgisini grafik üzerinde görselleştirmek için çeşitli çizim fonksiyonları kullanır. Bu, kullanıcının grafik üzerinde kolayca sinyalleri ve trendi görmesini sağlar.
7. Ticaret Ayarları:
Alış ve satış sinyalleri tetiklendiğinde, bu bölüm belirlenen hedeflere ve stop-loss seviyelerine ulaşıp ulaşmadığını kontrol eder.
8. Uyarılar:
Bu gösterge ayrıca, belirli koşullar karşılandığında kullanıcıya uyarı gönderir. Bu, kullanıcının potansiyel ticaret fırsatlarını kaçırmamasını sağlar.
Sonuç olarak, bu Pine Script göstergesi, piyasa hareketlerini analiz ederek ve çeşitli filtreleri uygulayarak al-sat sinyalleri üretir. Heikin Ashi'nin yumuşatılmış sürümüne dayanan bu gösterge, trend takipçileri için kullanışlıdır ve çeşitli filtrelerle güçlendirilmiştir, böylece ticaret sinyallerinin kalitesi artar.
Moving Average TransformThe MAT is essentially a different kind of smoothed moving average. It is made to filter out data sets that deviate from the specified absolute threshold and the result becomes a smoothing function. The goal here, inspired by time series analysis within mathematical study, is to eliminate data anomalies and generate a more accurate trendline.
Functionality:
This script calculates a filtered average by:
Determining the mean of the entire data series.
Initializing sum and count variables.
Iterating through the data to filter values that deviate from the mean beyond the threshold.
Calculating a filtered mean based on the filtered data.
The filtered mean is then passed through a moving average function, where various types of moving averages like SMA, EMA, DEMA, TEMA, and ALMA can be applied. Some popular averages such as the HMA were omitted due to their heavy dependency on weighing specific data points.
Some information from "Time Series Analysis" regarding deviations
Definition of Anomaly: An anomaly or outlier is a data point that differs significantly from other observations in the dataset. It can be caused by various reasons such as measurement errors, data entry errors, or genuine extreme observations.
Impact on Mean: The mean (or average) of a dataset is calculated by summing all the values and dividing by the number of values. Since the mean is sensitive to extreme values, even a single outlier can significantly skew the mean.
Example: Consider a simple time series dataset: . The value "150" is an anomaly in this context. If we calculate the mean with this outlier, it is (10 + 12 + 11 + 9 + 150) / 5 = 38.4. However, if we exclude the outlier, the mean becomes (10 + 12 + 11 + 9) / 4 = 10.5. The presence of the outlier has substantially increased the mean.
Accuracy and Representativeness: While the mean calculated without outliers might be more "accurate" in the sense of being more representative of the central tendency of the bulk of the data, it's essential to note that anomalies might convey important information about the system being studied. Blindly removing or ignoring them might lead to overlooking significant events or phenomena.
Approaches to Handle Anomalies?
Detection and Removal
Robust Statistics
Transformation
2Mars - MA / BB / SuperTrend
The 2Mars strategy is a trading approach that aims to improve trading efficiency by incorporating several simple order opening tactics. These tactics include moving average crossovers, Bollinger Bands, and SuperTrend.
Entering a Position with the 2Mars Strategy:
Moving Average Crossover: This method considers the crossing of moving averages as a signal to enter a position.
Price Crossing Bollinger Bands: If the price crosses either the upper or lower Bollinger Band, it is seen as a signal to enter a position.
Price Crossing Moving Average: If the price crosses the moving average, it is also considered a signal to enter a position.
SuperTrend and Bars confirm:
The SuperTrend indicator is used to provide additional confirmation for entering positions and setting stop loss levels. "Bars confirm" is used only for entry to positions.
Moving Average Crossover Strategy:
A moving average crossover refers to the point on a chart where there is a crossover of the signal or fast moving average, above or below the basis or slow moving average. This strategy also uses moving averages for additional orders #3.
Basis Moving Average Length: Ratio * Multiplier
Signal Moving Average Length: Multiplier
Bollinger Bands:
Bollinger Bands consist of three bands: an upper band, a lower band, and a basis moving average. However, the 2Mars strategy incorporates multiple upper and lower levels for position entry and take profit.
Basis +/- StdDev * 0.618
Basis +/- StdDev * 1.618
Basis +/- StdDev * 2.618
Additional Orders:
Additional Order #1 and #2: closing price crosses above or below the Bollinger Bands.
Additional Order #3: closing price crosses above or below the basis or signal moving average.
Take Profit:
The strategy includes three levels for taking profits, which are based on the Bollinger Bands. Additionally, a percentage of the position can be chosen to close long or short positions.
Limit Orders:
The strategy allows for entering a position using a limit order. The calculation for the limit order involves the Average True Range (ATR) for a specific period.
For long positions: Low price - ATR * Multiplier
For short positions: High price + ATR * Multiplier
Stop Loss:
To manage risk, the strategy recommends using stop loss options. The stop loss is updated with each entry order and take-profit level 3. When using the SuperTrend Confirmation, the stop loss requires confirmation of a trend change. It allows for flexible adjustment of the stop loss when the trend changes.
There are three options for setting the stop loss:
1. ATR (Average True Range):
For long positions: Low price - ATR * Long multiplier
For short positions: High price + ATR * Short multiplier
2. SuperTrend + ATR:
For long positions: SuperTrend - ATR * Long multiplier
For short positions: SuperTrend + ATR * Short multiplier
3. StdDev:
For long positions: StdDev - ATR * Long multiplier
For short positions: StdDev + ATR * Short multiplier
Flexible Stop Loss:
There is also a flexible stop loss option for the ATR and StdDev methods. It is triggered when the SuperTrend or moving average trend changes unfavorably.
For long positions: Stop-loss price + (ATR * Long multiplier) * Multiplier
For short positions: Stop-loss price - (ATR * Short multiplier) * Multiplier
How configure:
Disable SuperTrend, take profit, stop loss, additional orders and begin setting up a strategy.
Pick soucre data
Number of bars for confirm
Pick up the ratio of the base moving average and the signal moving average.
Set up a SuperTrend
Time for set up of the Bollinger Bands and the take profit
And finaly set up of stop loss and limit orders
All done!
For OKX exchange:
t.me
