(Envelopes)USS Enterprise1. This indicator is created for those who still believe in the functionality of moving averages. Indicator consists of several envelopes of moving averages and two separate averages. The selection of these moving averages is linked to Fibonacci theories and calculations.
2. The indicator shows moving averages (envelopes) of all market participants. From the smallest to the giants.
3. It should be noted that all averages are mainly calibrated to a 15-minute time frame. But I'm not saying that you can't use it on any TF. Because market is fractal.
Groups:
1. (YELLOW ENVELOPES) The first group are scalpers and big traders. Yellow envelope! This is the largest group of traders, but with the smallest capital on the market. Why did I choose this envelope? To show who is in control of the market. The average duration of holding the price of this envelope is 12-16 hours (in trend phase) and therefore it is suitable for intra-day trading. If the price closes below this envelope, we know that their strength was no longer sufficient. However, as long as these two yellow curves do not cross each other, we consider this group of traders to be still dominant/active and their weakening was only partial, for example, due to a pullback, or due to manipulation of the price of stronger players.
2. (LIGHT BLUE ENVELOPE) When I mentioned pullback. Understand it as the return of the price in the trend. But who is capable of these pullbacks in the trend? Our second group of traders. Institutions. (Light blue color). Only their amount of money can cause the price to return to their point of interest and that is the light blue envelope. The average ability to hold the trend of the institutions is something around 1-2 days. If the price closes with a slow decline/rise below this/above this envelope, we can expect that their strength is still large enough. However, if there are movements that seem to cut through this envelope, it is the first indication that the institutions are losing strength. If there is a crossover of any yellow average across both institutional ones, we can expect a much bigger pullback in the trend. This pullback is then again mainly under the control of the institutions (rejections from the light blue envelope.) But where can this pullback go? Another market participant will tell us that!
3. (DARK BLUE ENVELOPE) Market makers are another participant. Their task is to maintain balance on the market. This means that the market does not only go up or only down. That's what the envelope of market makers is for. This envelope is considered a trend defender. What makes it special. It can hold a trend even for days. We can consider the return to this envelope as a supply and demand strategy. In the trend, the price will come back here as a pullback and then rocket back into the original trend. I'll tell you what you probably guessed, yes, we are moving here at the EMA200 level. So if the institutional (light blue) traders lose their strength, believe me that the envelope of the market makers is a very likely stop! When does a trend change occur and not a pullback? If there is a crossing of the light blue average with the entire envelope of market makers. The next test from the other side of this envelope confirms the trend change.
4. Let's skip the black envelope for the moment.
5. (PURPLE ENVELOPE) Let's explain the purple envelope. It is the envelope of market makers and especially hedge funds. What do you think when the price closes below the EMA200 (originally a bull trend) and even tests it below? "We have a trend change now we definitely have a down trend!!!" Uhm. NOPE :D. That's their job. To show you what they want you to believe. What does this result in? Filling their large orders, which eventually means that you were caught and liquidated with your positions. By testing, you will find out how many times you thought there was a trend change, but after you see how the price reacts from the purple envelope, you will understand that until now you did not know at all when a general trend change occurs. When we talk about a trend change in the long term , occurs when the EMA200 (dark blue envelope) crosses this purple envelope. This purple envelope is able to keep the price trending for an average of 3 weeks.
Don't get caught that the trend change is when the price closes below the EMA200.Or "golden cross"
6. (BLACK ENVELOPE) Did we miss something though? So let's go back to the meaning of the black envelope. When you take a good look at the trend and notice all the envelopes lined up nicely and focus on the dark blue envelope and the purple envelope. Don't you feel like you're seeing Fibonacci's return? Or as if you see the price in the premium zone?.78%-88%. Yes, it's exactly this envelope. Sometimes market makers and funds are satisfied with the price in this envelope and are willing to continue buying or selling from this envelope. However, keep in mind, this can be a stop before testing the purple envelope - mostly the range is formed in this black envelope. Expect in such a case that they will test the purple envelope. Otherwise, take this envelope as a sign of a premium zone.
7. (ORANGE,TEAL and RED MA) The Orange,Teal and Red averages show a pure bank level. That is, our mentioned giants on the market. You will see for yourself on the market with what accuracy the banks return to these averages. You will see for yourself that trends really change only at these averages. You must have told yourself several times why and how patterns that resemble a letter are created in the market V or the letter A. Congratulations! Thanks to my indicator, you already know today! Because of these bank averages!!!
I wish you the best of luck with this indicator and hopefully it helps as many people as possible understand trends and how important simple lines can be! Which and how many envelopes or moving averages you will use is entirely up to you!
Warning: Everything published in this description or the functionality of this indicator serves only as educational content! Only YOU are responsible for all profits and losses!
ממוצעים נעים
Moving avg with regMoving avg with reg
A Moving avg with reg is a series of moving averages plotted on the same chart, each with different time periods. This visual tool helps traders identify the underlying trend and potential reversal points in the market. By observing the interaction and spacing between the moving averages, traders can gauge the market's strength and momentum.
Key Points:
Trend Identification: Multiple moving averages help confirm the direction of the trend. If the shorter-period moving averages are above the longer-period ones, it indicates an uptrend, and vice versa.
Reversal Signals: When shorter-period moving averages cross longer-period ones, it may signal a potential trend reversal.
Market Strength: The spacing between the moving averages indicates the strength of the trend. Wider spacing suggests a strong trend, while narrow spacing may indicate a weakening trend.
Regression Line
A Regression Line, specifically the Linear Regression Indicator (LRI), is a statistical tool used to determine the direction and strength of a trend by fitting a straight line to the price data over a specified period. This line minimizes the distance between itself and the actual price points, providing a clear visual representation of the trend.
Key Points:
Trend Direction: The slope of the regression line indicates the direction of the trend. A positive slope suggests an uptrend, while a negative slope indicates a downtrend.
Price Deviations: The distance between the actual price and the regression line can highlight overbought or oversold conditions. Large deviations may suggest a potential correction.
Predictive Power: By extending the regression line, traders can make predictions about future price movements based on the current trend.
Stochastic Biquad Band Pass FilterThis indicator combines the power of a biquad band pass filter with the popular stochastic oscillator to provide a unique tool for analyzing price movements.
The Filter Length parameter determines the center frequency of the biquad band pass filter, affecting which frequency band is isolated. Adjusting this parameter allows you to focus on different parts of the price movement spectrum.
The Bandwidth (BW) controls the width of the frequency band in octaves. It represents the bandwidth between -3 dB frequencies for the band pass filter. A narrower bandwidth results in a more focused filtering effect, isolating a tighter range of frequencies.
The %K Length parameter sets the period for the stochastic calculation, determining the range over which the stochastic values are calculated.
The %K Smoothing parameter applies a simple moving average to the %K values to smooth out the oscillator line.
The %D Length parameter sets the period for the %D line, which is a simple moving average of the %K line, providing a signal line for the oscillator.
Key Features of the Stochastic Biquad Band Pass Filter
Biquad filters are known for their smooth response and minimal phase distortion, making them ideal for technical analysis. In this implementation, the biquad filter is configured as a band pass filter, which allows frequencies within a specified band to pass while attenuating frequencies outside this band. This is particularly useful in trading to isolate specific price movements, making it easier to detect patterns and trends within a targeted frequency range.
The stochastic oscillator is a popular momentum indicator that shows the location of the close relative to the high-low range over a set number of periods. Combining it with a biquad band pass filter enhances its effectiveness by focusing on specific frequency bands of price movements.
By incorporating this stochastic biquad band pass filter into your trading toolkit, you can enhance your chart analysis with clearer insights into specific frequency bands of price movements, leading to more informed trading decisions.
Biquad Band Pass FilterThis indicator utilizes a biquad band pass filter to isolate and highlight a specific frequency band in price data, helping traders focus on price movements within a targeted frequency range.
The Length parameter determines the center frequency of the filter, affecting which frequency band is isolated. Adjusting this parameter allows you to focus on different parts of the price movement spectrum.
The Bandwidth (BW) controls the width of the frequency band in octaves. It represents the bandwidth between -3 dB frequencies for the band pass filter. A narrower bandwidth results in a more focused filtering effect, isolating a tighter range of frequencies.
Key Features of Biquad Filters
Biquad filters are a type of digital filter that provides a combination of low-pass, high-pass, band-pass, and notch filtering capabilities. In this implementation, the biquad filter is configured as a band pass filter, which allows frequencies within a specified band to pass while attenuating frequencies outside this band. This is particularly useful in trading to isolate specific price movements, making it easier to detect patterns and trends within a targeted frequency range.
Biquad filters are known for their smooth response and minimal phase distortion, making them ideal for technical analysis. The customizable length and bandwidth allow for flexible adaptation to different trading strategies and market conditions. Designed for real-time charting, the biquad filter operates efficiently without significant lag, ensuring timely analysis.
By incorporating this biquad band pass filter into your trading toolkit, you can enhance your chart analysis with clearer insights into specific frequency bands of price movements, leading to more informed trading decisions.
Biquad High Pass FilterThis indicator utilizes a biquad high pass filter to filter out low-frequency components from price data, helping traders focus on high-frequency movements and detect rapid changes in trends.
The Length parameter determines the cutoff frequency of the filter, affecting how quickly the filter responds to changes in price. A shorter length allows the filter to react more quickly to high-frequency movements.
The Q Factor controls the sharpness of the filter. A higher Q value results in a more precise filtering effect by narrowing the frequency band. However, be cautious when setting the Q factor too high, as it can induce resonance, amplifying certain frequencies and potentially making the filter less effective by introducing unwanted noise.
Key Features of Biquad Filters
Biquad filters are a type of digital filter that provides a combination of low-pass, high-pass, band-pass, and notch filtering capabilities. In this implementation, the biquad filter is configured as a high pass filter, which allows high-frequency signals to pass while attenuating lower-frequency components. This is particularly useful in trading to highlight rapid price movements, making it easier to spot short-term trends and patterns.
Biquad filters are known for their smooth response and minimal phase distortion, making them ideal for technical analysis. The customizable length and Q factor allow for flexible adaptation to different trading strategies and market conditions. Designed for real-time charting, the biquad filter operates efficiently without significant lag, ensuring timely analysis.
By incorporating this biquad high pass filter into your trading toolkit, you can enhance your chart analysis with clearer insights into rapid price movements, leading to more informed trading decisions.
Biquad Low Pass FilterThis indicator utilizes a biquad low pass filter to smooth out price data, helping traders identify trends and reduce noise in their analysis.
The Length parameter acts as the length of the moving average, determining the smoothness and responsiveness of the filter. Adjusting this parameter changes how quickly the filter reacts to price changes.
The Q Factor controls the sharpness of the filter. A higher Q value results in a narrower frequency band, enhancing the precision of the filter. However, be cautious when setting the Q factor too high, as it can induce resonance, amplifying certain frequencies and potentially making the filter less effective by introducing noise.
Key Features of Biquad Filters
Biquad filters are a type of digital filter that provides a combination of low-pass, high-pass, band-pass, and notch filtering capabilities. In this implementation, the biquad filter is configured as a low pass filter, which allows low-frequency signals to pass while attenuating higher-frequency noise. This is particularly useful in trading to smooth out price data, making it easier to spot underlying trends and patterns.
Biquad filters are known for their smooth response and minimal phase distortion, making them ideal for technical analysis. The customizable length and Q factor allow for flexible adaptation to different trading strategies and market conditions. Designed for real-time charting, the biquad filter operates efficiently without significant lag, ensuring timely analysis.
By incorporating this biquad low pass filter into your trading toolkit, you can enhance your chart analysis with clearer insights into price movements, leading to more informed trading decisions.
Internal Bar Strength IBS [Anan]This indicator calculates and displays the Internal Bar Strength (IBS) along with its moving average. The IBS is a measure that represents where the closing price is relative to the high-low range of a given period.
█ Main Formula
The core of this indicator is the Internal Bar Strength (IBS) calculation. The basic IBS formula is:
ibs = (close - low) / (high - low)
I enhanced the original formula by incorporating a user-defined length parameter. This modification allows for greater flexibility in analysis and interpretation. The extended version enables users to adjust the indicator's length according to their specific needs or market conditions. Notably, setting the length parameter to 1 reproduces the behavior of the original formula, maintaining backward compatibility while offering expanded functionality:
ibs = (close - ta.lowest(low, ibs_length)) / (ta.highest(high, ibs_length) - ta.lowest(low, ibs_length))
Where:
- `close` is the closing price of the current bar
- `lowest low` is the lowest low price over the specified IBS length
- `highest high` is the highest high price over the specified IBS length
█ Key Features
- Calculates IBS using a user-defined length
- Applies a moving average to the IBS values
- Offers multiple moving average types
- Includes optional Bollinger Bands or Donchian Channel overlays
- Visualizes bull and bear areas
█ Inputs
- IBS Length: The period used for IBS calculation
- MA Type: The type of moving average applied to IBS (options: SMA, EMA, SMMA, WMA, VWMA, Bollinger Bands, Donchian)
- MA Length: The period used for the moving average calculation
- BB StdDev: Standard deviation multiplier for Bollinger Bands
█ How to Use and Interpret
1. IBS Line Interpretation:
- IBS values range from 0 to 1
- Values close to 1 indicate the close was near the high, suggesting a bullish sentiment
- Values close to 0 indicate the close was near the low, suggesting a bearish sentiment
- Values around 0.5 suggest the close was near the middle of the range
2. Overbought/Oversold Conditions:
- IBS values above 0.8 (teal zone) may indicate overbought conditions
- IBS values below 0.2 (red zone) may indicate oversold conditions
- These zones can be used to identify potential reversal points
3. Trend Identification:
- Consistent IBS values above 0.5 may indicate an uptrend
- Consistent IBS values below 0.5 may indicate a downtrend
4. Using Moving Averages:
- The yellow MA line can help smooth out IBS fluctuations
- Crossovers between the IBS and its MA can signal potential trend changes
5. Bollinger Bands/Donchian Channel:
- When enabled, these can provide additional context for overbought/oversold conditions
- IBS touching or exceeding the upper band may indicate overbought conditions
- IBS touching or falling below the lower band may indicate oversold conditions
Remember that no single indicator should be used in isolation. Always combine IBS analysis with other technical indicators, price action analysis, and broader market context for more reliable trading decisions.
SD Distance Mean BetaThe "SD Distance Mean Indicator" is a currently a developing tool designed to enhance trading precision by dynamically adjusting to market conditions. This indicator provides insights into price deviations from the mean, helping traders make inf OANDA:XAUUSD ormed decisions based on significant price movements.
Key Features:
Adaptive Length Adjustment:
The indicator dynamically adjusts the calculation period based on the Average True Range (ATR). This allows it to respond to different market conditions, using a shorter length during consolidations and a longer length during trends.
Standardized Distance Calculation:
The indicator calculates the distance of the current price from the mean and standardizes it using the standard deviation. This standardized distance is then smoothed to reduce noise and provide clearer signals.
Dynamic Standard Deviation (SD) Levels:
SD levels are adjusted dynamically based on ATR, providing a more accurate representation of price volatility. These levels are further smoothed to minimize wiggling on shorter timeframes like the 30-minute chart.
Visual Cues for Trading Signals:
The indicator plots multiple SD levels (+1, +2, +3, +4 and their negatives) and highlights significant price movements. When the standardized distance line hits or exceeds these levels, it signals potential overbought or oversold conditions.
Customizable Smoothing: The smoothing length for both the standardized distance and SD levels can be customized to suit different trading strategies and timeframes. Default values are set to provide a balance between responsiveness and stability.
Usage:
Identifying Reversals : The indicator helps in spotting potential reversal points. When the smoothed standardized distance line hits +2 SD or -2 SD and rebounds, it signals a possible price reversal back towards the mean.
Confirming Trends: Dynamic SD levels provide a clear visual representation of price volatility, helping traders confirm trend strength and potential breakout points.
Enhancing Precision: By dynamically adjusting to market conditions, the indicator enhances trading precision, making it suitable for various market environments.
This script is an essential addition to any trader's toolkit, offering a blend of adaptability, precision, and visual clarity to support more informed trading decisions.
Settings:
Short Length: Period length used during consolidations.
Long Length: Period length used during trends.
ATR Length: Length for ATR calculation.
ATR Threshold: Threshold value to switch between short and long lengths.
Smoothing Length: Length for smoothing the standardized distance.
SD Smoothing Length: Length for smoothing the dynamic SD levels.
By using this indicator, traders can leverage its adaptive capabilities to navigate various market conditions effectively and enhance their trading performance on XAUUSD and other assets.
Moving Average Trend Meter [UkutaLabs]█ OVERVIEW
The Moving Average Trend Meter is a powerful trading indicator that visualizes current market strength. This indicator uses a series of four EMAs (Exponential Moving Averages) to determine short, medium and long term market strength. Each of the three rows of boxes corresponds to an EMA, with the top being the fast, the middle being the medium and the bottom being the slow. Depending on whether each EMA is above or below the source EMA, its corresponding row will be colored accordingly, with the boxes appearing green if the source is above it or red if it is below.
This indicator also displays when the strength of the market is transitioning between bullish and bearish, indicating that there may be an upcoming reversal.
The purpose of this script is to simplify the trading experience of users by providing an easier way to visualize current market strength using a series of EMAs.
█ USAGE
This indicator provides an easy to understand method of visualizing the current market strength based on the positioning of four EMAs. By default, the period for these EMAs are selected based on key Fibonacci levels, and the period of each one can be customized in the indicator settings.
Depending on whether or not the source EMA is above or below each of the other three EMAs, the boxes of the corresponding rows will be colored to indicate the current strength of the market.
If all three boxes are drawn the same color, a dot of the same color will be drawn above the boxes.
█ SETTINGS
Configuration
• Source EMA: Determines the period of the source EMA.
• Fast EMA: Determines the period of the fast EMA.
• Med EMA: Determines the period of the medium EMA.
• Slow EMA: Determines the period of the slow EMA.
Colors
• Bullish Color: Determines the color of boxes when the source EMA is above the respective EMA.
• Bearish Color: Determines the color of boxes when the source EMA is below the respective EMA.
• Bullish Transition Color: Determines the color of boxes when the current bar closes above the respective EMA while the source is below it.
• Bearish Transition Color: Determines the color of boxes when the current bar closes below the respective EMA while the source is above it.
Heiken Ashi Ribbon [UkutaLabs]█ OVERVIEW
The Heiken Ashi Ribbon is a powerful trading tool that creates a strong ribbon that indicates market strength. This ribbon is created using four moving averages that use Heiken Ashi values (high, low, open and close) as its input values.
The ribbon will also be colored green, red or grey depending on whether or not its direction aligns with current market strength.
█ USAGE
The Heiken Ashi Ribbon is created using a series of four moving averages that uses values from the Heiken Ashi bars as its inputs. The user has the ability to select whether the moving averages are EMAs or SMAs, as well as the ability to control the period of the moving averages.
If the moving average calculated using the Heiken Ashi Open is below the moving average calculated using the Heiken Ashi Close, the ribbon will be colored green, indicating a bullish trend. If the moving average calculated using the Heiken Ashi Open is above the moving average calculated using the Heiken Ashi Open, the ribbon will be colored red, indicating a bearish trend.
This indicator also uses a series of hidden EMAs to determine market strength. If these EMAs do not align with the direction of the Heiken Ashi Ribbon, the Ribbon will instead be colored grey, indicating uncertainty in the market, as well as a possible reversal.
█ SETTINGS
Configuration
• Moving Average Type: Determines whether or not the Heiken Ashi Moving Averages will be drawn as EMAs or SMAs.
• Moving Average Period: Determines the period of the Heiken Ashi Moving Averages.
Moving Average
• Moving Average Input: Determines the input values for the hidden EMAs.
GMMA Toolkit [QuantVue]The GMMA Toolkit is designed to leverage the principles of the Guppy Multiple Moving Average (GMMA). This indicator is equipped with multiple features to help traders identify trends, reversals, and periods of market compression.
The Guppy Multiple Moving Average (GMMA) is a technical analysis tool developed by Australian trader and author Daryl Guppy in the late 1990s.
It utilizes two sets of Exponential Moving Averages (EMAs) to capture both short-term and long-term market trends. The short-term EMAs represent the activity of traders, while the long-term EMAs reflect the behavior of investors.
By analyzing the interaction between these two groups of EMAs, traders can identify the strength and direction of trends, as well as potential reversals.
Due to the nature of GMMA, charts can become cluttered with numerous lines, making analysis challenging.
However, this indicator simplifies visualization by using clouds to represent the short-term and long-term EMA groups, determined by filling the area between the maximum and minimum EMAs in each group.
The GMMA Toolkit goes a step further and includes an oscillator that measures the difference between the average short-term and long-term EMAs, providing a clear visual representation of trend strength and direction.
The farther the oscillator is from the 0 level, the stronger the trend. It is plotted on a separate panel with values above zero indicating bullish conditions and values below zero indicating bearish conditions.
The inclusion of the oscillator in the GMMA Toolkit allows traders to identify earlier buy and sell signals based on the GMMA oscillator crossing the zero line compared to traditional crossover methods.
Lastly, the GMMA Toolkit features compression dots that indicate periods of market consolidation.
By measuring the spread between the maximum and minimum EMAs within both short-term and long-term groups, the indicator identifies when these spreads are significantly narrower than average by comparing the current spread to the average spread over a lookback period.
This visual cue helps traders anticipate potential breakout or breakdown scenarios, enhancing their ability to react to imminent trend changes.
By simplifying the visualization of the Guppy Multiple Moving Averages with clouds, providing earlier buy and sell signals through the oscillator, and highlighting periods of market consolidation with compression dots, this toolkit offers traders insightful tools for navigating market trends and potential reversals.
Give this indicator a BOOST and COMMENT your thoughts below!
We hope you enjoy.
Cheers!
Filtered MACD with Backtest [UAlgo]The "Filtered MACD with Backtest " indicator is an advanced trading tool designed for the TradingView platform. It combines the Moving Average Convergence Divergence (MACD) with additional filters such as Moving Average (MA) and Average Directional Index (ADX) to enhance trading signals. This indicator aims to provide more reliable entry and exit points by filtering out noise and confirming trends. Additionally, it includes a comprehensive backtesting module to simulate trading strategies and assess their performance based on historical data. The visual backtest module allows traders to see potential trades directly on the chart, making it easier to evaluate the effectiveness of the strategy.
🔶 Customizable Parameters :
Price Source Selection: Users can choose their preferred price source for calculations, providing flexibility in analysis.
Filter Parameters:
MA Filter: Option to use a Moving Average filter with types such as EMA, SMA, WMA, RMA, and VWMA, and a customizable length.
ADX Filter: Option to use an ADX filter with adjustable length and threshold to determine trend strength.
MACD Parameters: Customizable fast length, slow length, and signal smoothing for the MACD indicator.
Backtest Module:
Entry Type: Supports "Buy and Sell", "Buy", and "Sell" strategies.
Stop Loss Types: Choose from ATR-based, fixed point, or X bar high/low stop loss methods.
Reward to Risk Ratio: Set the desired take profit level relative to the stop loss.
Backtest Visuals: Display entry, stop loss, and take profit levels directly on the chart with
colored backgrounds.
Alerts: Configurable alerts for buy and sell signals.
🔶 Filtered MACD : Understanding How Filters Work with ADX and MA
ADX Filter:
The Average Directional Index (ADX) measures the strength of a trend. The script calculates ADX using the user-defined length and applies a threshold value.
Trading Signals with ADX Filter:
Buy Signal: A regular MACD buy signal (crossover of MACD line above the signal line) is only considered valid if the ADX is above the set threshold. This suggests a stronger uptrend to potentially capitalize on.
Sell Signal: Conversely, a regular MACD sell signal (crossunder of MACD line below the signal line) is only considered valid if the ADX is above the threshold, indicating a stronger downtrend for potential shorting opportunities.
Benefits: The ADX filter helps avoid whipsaws or false signals that might occur during choppy market conditions with weak trends.
MA Filter:
You can choose from various Moving Average (MA) types (EMA, SMA, WMA, RMA, VWMA) for the filter. The script calculates the chosen MA based on the user-defined length.
Trading Signals with MA Filter:
Buy Signal: A regular MACD buy signal is only considered valid if the closing price is above the MA value. This suggests a potential uptrend confirmed by the price action staying above the moving average.
Sell Signal: Conversely, a regular MACD sell signal is only considered valid if the closing price is below the MA value. This suggests a potential downtrend confirmed by the price action staying below the moving average.
Benefits: The MA filter helps identify potential trend continuation opportunities by ensuring the price aligns with the chosen moving average direction.
Combining Filters:
You can choose to use either the ADX filter, the MA filter, or both depending on your strategy preference. Using both filters adds an extra layer of confirmation for your signals.
🔶 Backtesting Module
The backtesting module in this script allows you to visually assess how the filtered MACD strategy would have performed on historical data. Here's a deeper dive into its features:
Backtesting Type: You can choose to backtest for buy signals only, sell signals only, or both. This allows you to analyze the strategy's effectiveness in different market conditions.
Stop-Loss Types: You can define how stop-loss orders are placed:
ATR (Average True Range): This uses a volatility measure (ATR) multiplied by a user-defined factor to set the stop-loss level.
Fixed Point: This allows you to specify a fixed dollar amount or percentage value as the stop-loss.
X bar High/Low: This sets the stop-loss at a certain number of bars (defined by the user) above/below the bar's high (for long positions) or low (for short positions).
Reward-to-Risk Ratio: Define the desired ratio between your potential profit and potential loss on each trade. The backtesting module will calculate take-profit levels based on this ratio and the stop-loss placement.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Moving Average Exponential-DonCHI-SUPERTRENDThe "Moving Average Exponential-DonCHI-SUPERTREND" is a trading strategy or indicator that combines three distinct technical analysis tools:
Moving Average Exponential (EMA): This is a type of moving average that gives more weight to recent prices, making it more responsive to price changes compared to a simple moving average.
Donchian Channels (DonCHI): These are bands that are plotted above and below the recent price highs and lows. They help identify the current price volatility and potential breakout points.
SUPERTREND: This is a trend-following indicator that uses the average true range (ATR) to determine the direction of the trend. It provides signals similar to moving averages but with less lag.
Consecutive Closes Above/Below 3 SMA with Z-Score BandsA simple indicator that measures consecutive closes above & below the 3-period simple moving average. An upper and lower Z-score has been calculated to indicate where the 4 standard deviations of the last 60 bars sits.
Useful for identifying directional runs in price.
USD(Uncle Super Trend)The Super Trend Indicator Adopts a Breakthrough Trading Strategy with Resonance of Large and Small Periods, Combining Tools Such as Moving Averages, Bollinger Bands, and ATR to Determine Market Trends and Generate Trading Signals, Helping You Better Grasp Long and Short Trading Opportunities.
Usage Tips:
A long position in the large period MA indicates an upward trend, and a short position in the large period MA indicates a downward trend.
In an upward trend, only go long and not short. A 🚀 icon indicates a long signal, and a 🎉 icon indicates a closing signal.
In a downward trend, only go short and not long. A 📉 icon indicates a short signal, and a 🎉 icon indicates a closing signal.
Moving Averages (MA) Settings:
Users can choose to display two moving averages (MA1 and MA2) and configure their type (SMA, EMA, SMMA, WMA, VWMA), period, data source, and color.
When MA1 is greater than MA2, the area is filled with red; otherwise, it is filled with green.
Bollinger Bands:
Calculate the upper and lower Bollinger Bands (BBUpper and BBLower) based on the user's input period and standard deviation.
Use color to fill the Bollinger Bands area.
ATR Filter:
Set a filter using the Average True Range (ATR) to determine the position of the trend line.
Users can choose whether to use the ATR filter.
Trend Line:
Calculate and draw the trend line based on Bollinger Bands signals (BBSignal) combined with the ATR filter.
Generate buy or sell signals when the price breaks through the upper or lower Bollinger Bands.
Buy/Sell Signals:
Generate a buy signal when the trend direction changes from negative to positive, and a sell signal when it changes from positive to negative.
Use icons to represent buy/sell signals, with the display of icons depending on user configuration.
Smoothed Heiken Ashi Candles with Delayed SignalsThis is a trend-following approach that uses a modified version of Heiken Ashi candles with additional smoothing. Here are the key components and features:
1. Heiken Ashi Modification: The strategy starts by calculating Heiken Ashi candles, which are known for better trend visualization. However, it modifies the traditional Heiken Ashi by using Exponential Moving Averages (EMAs) of the open, high, low, and close prices.
2. Double Smoothing: The strategy applies two layers of smoothing. First, it uses EMAs to calculate the Heiken Ashi values. Then, it applies another EMA to the Heiken Ashi open and close prices. This double smoothing aims to reduce noise and provide clearer trend signals.
3. Long-Only Approach: As the name suggests, this strategy only takes long positions. It doesn't short the market during downtrends but instead exits existing long positions when the sell signal is triggered.
4. Entry and Exit Conditions:
- Entry (Buy): When the smoothed Heiken Ashi candle color changes from red to green (indicating a potential start of an uptrend).
- Exit (Sell): When the smoothed Heiken Ashi candle color changes from green to red (indicating a potential end of an uptrend).
5. Position Sizing: The strategy uses a percentage of equity for position sizing, defaulting to 100% of available equity per trade. This should be tailored to each persons unique approach. Responsible trading would use less than 5% for each trade. The starting capital used is a responsible and conservative $1000, reflecting the average trader.
This strategy aims to provide a smooth, trend-following approach that may be particularly useful in markets with clear, sustained trends. However, it may lag in choppy or ranging markets due to its heavy smoothing. As with any strategy, it's important to thoroughly back test and forward test before using it with real capital, and to consider using it in conjunction with other analysis tools and risk management techniques.
Other smoothed Heiken Ashi indicators do not provide buy and sell signals, and only show the change in color to dictate a change in trend. By adding buy and sell signals after the close of the changing candle, alerts can be programmed, which helps this be a more hands off protocol to experiment with. Other smoothed Heiken Ashi indicators do not allow for alarms to be set.
This is a unique HODL strategy which helps identify a change in trend, without the noise of day to day volatility. By switching to a line chart, it removes the candles altogether to avoid even more noise. The goal is to HODL a coin while the color is bullish in an uptrend, but once the indicator gives a sell signal, to sell the holdings back to a stable coin and let the chart ride down. Once the chart gives the next buy signal, use that same capital to buy back into the asset. In essence this removes potential losses, and helps buy back in cheaper, gaining more quantitity fo the asset, and therefore reducing your average initial buy in price.
Most HODL strategies ride the price up, miss selling at the top, then riding the price back down in anticipation that it will go back up to sell. This strategy will not hit the absolute tops, but it will greatly reduce potential losses.
