9:22 5 MIN 15 MIN BANKNIFTY9:22 5 MIN 15 MIN BANKNIFTY Strategy with Additional Filters
The 9:22 5 MIN 15 MIN BANKNIFTY Strategy with Additional Filters is a trend-following strategy designed for trading the BANKNIFTY instrument on a 5-minute chart. It aims to capture potential price movements by generating buy and sell signals based on moving average crossovers, breakout confirmations, and additional filters.
Key Features:
Fast MA Length: 9
Slow MA Length: 22
ATR Length: 14
ATR Filter: 0.5
Trailing Stop Percentage: 1.5%
Pullback Threshold: 0.5
Minimum Candle Body Percentage: 0.5
Use Breakout Confirmation: Enabled
Additional Filters:
Volume Threshold: Set a minimum volume requirement for trades.
Trend Filter: Optionally enable a trend filter based on a higher timeframe moving average.
Momentum Filter: Optionally enable a momentum filter using the RSI indicator.
Support/Resistance Filter: Optionally enable a filter based on predefined support and resistance levels.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the fast moving average crosses above the slow moving average, with additional confirmation from breakout and volume criteria, along with optional trend, momentum, and support/resistance filters.
Sell Signal: A sell signal is generated when the fast moving average crosses below the slow moving average, with similar confirmation and filtering criteria as the buy signal.
Exit Strategy:
The strategy employs a trailing stop-loss mechanism based on a percentage of the average entry price. The stop-loss is dynamically adjusted to protect profits while allowing for potential upside.
Please note that this strategy should be thoroughly backtested and evaluated in different market conditions before applying it to live trading. It is also recommended to adjust the parameters and filters according to individual preferences and risk tolerance.
Feel free to customise and adapt the description as needed to suit your preferences and the specific details of your strategy.
المتوسط المتحرك الأسي
CUSTOM VWAP EMAThe Custom VWAP EMA (Volume-Weighted Average Price Exponential Moving Average) indicator is a powerful tool developed by Vedic Trading to provide traders with valuable insights into market trends and potential reversals. This indicator combines two key elements: the VWAP and the 37 EMA, along with a color-changing feature, to enhance trading decisions.
The VWAP is a popular technical analysis tool used to calculate the average price at which a security has traded throughout the day, taking into account both price and volume. It provides a weighted average based on the volume traded at different price levels, giving more importance to higher volume areas. The VWAP helps traders identify areas of support and resistance and provides a reference point for assessing the fair value of an asset.
The 37 EMA is an exponential moving average calculated by placing more weight on recent price data points. It helps smooth out price fluctuations and provides a visual representation of the overall trend. The 37 EMA is commonly used to identify the direction of the market and potential entry and exit points.
The Custom VWAP EMA indicator combines the VWAP and the 37 EMA to provide traders with a comprehensive view of market dynamics. It calculates the VWAP for different time intervals, such as 15 minutes, daily, and weekly, allowing traders to assess the intraday, daily, and longer-term trends.
One unique feature of this custom indicator is the color-changing capability. The indicator's color changes based on the relationship between the VWAP and the 37 EMA. For example, if the VWAP is above the 37 EMA, the indicator may turn green, indicating a potential bullish trend. Conversely, if the VWAP falls below the 37 EMA, the indicator may change to red, suggesting a potential bearish trend. This color-coded visual cue helps traders quickly identify market conditions and potential trade opportunities.
The Custom VWAP EMA indicator developed by Vedic Trading provides traders with a comprehensive analysis of market trends by combining the VWAP and the 37 EMA. Its color-changing feature enhances the visual interpretation, making it easier for traders to spot potential trading opportunities. This indicator can be a valuable tool for traders seeking to make informed decisions based on the interplay between volume, price, and trend dynamics.
Buy Sell using 5-8-13 EMA, RSI, PSAR IndicatorThis indicator generates Scalping and Strong Buy/Sell Signals.
Quick Scalp signals are generated using 5 EMA and RSI.
Strong Buy/Sell Signals are generated using combination of 5-8-13 EMA and Parabolic SAR.
Signals generated:
QB: Quick Buy
QS: Quick Sell
SB: Strong Buy
SS: Strong Sell
Machine Learning : Cosine Similarity & Euclidean DistanceIntroduction:
This script implements a comprehensive trading strategy that adheres to the established rules and guidelines of housing trading. It leverages advanced machine learning techniques and incorporates customised moving averages, including the Conceptive Price Moving Average (CPMA), to provide accurate signals for informed trading decisions in the housing market. Additionally, signal processing techniques such as Lorentzian, Euclidean distance, Cosine similarity, Know sure thing, Rational Quadratic, and sigmoid transformation are utilised to enhance the signal quality and improve trading accuracy.
Features:
Market Analysis: The script utilizes advanced machine learning methods such as Lorentzian, Euclidean distance, and Cosine similarity to analyse market conditions. These techniques measure the similarity and distance between data points, enabling more precise signal identification and enhancing trading decisions.
Cosine similarity:
Cosine similarity is a measure used to determine the similarity between two vectors, typically in a high-dimensional space. It calculates the cosine of the angle between the vectors, indicating the degree of similarity or dissimilarity.
In the context of trading or signal processing, cosine similarity can be employed to compare the similarity between different data points or signals. The vectors in this case represent the numerical representations of the data points or signals.
Cosine similarity ranges from -1 to 1, with 1 indicating perfect similarity, 0 indicating no similarity, and -1 indicating perfect dissimilarity. A higher cosine similarity value suggests a closer match between the vectors, implying that the signals or data points share similar characteristics.
Lorentzian Classification:
Lorentzian classification is a machine learning algorithm used for classification tasks. It is based on the Lorentzian distance metric, which measures the similarity or dissimilarity between two data points. The Lorentzian distance takes into account the shape of the data distribution and can handle outliers better than other distance metrics.
Euclidean Distance:
Euclidean distance is a distance metric widely used in mathematics and machine learning. It calculates the straight-line distance between two points in Euclidean space. In two-dimensional space, the Euclidean distance between two points (x1, y1) and (x2, y2) is calculated using the formula sqrt((x2 - x1)^2 + (y2 - y1)^2).
Dynamic Time Windows: The script incorporates a dynamic time window function that allows users to define specific time ranges for trading. It checks if the current time falls within the specified window to execute the relevant trading signals.
Custom Moving Averages: The script includes the CPMA, a powerful moving average calculation. Unlike traditional moving averages, the CPMA provides improved support and resistance levels by considering multiple price types and employing a combination of Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs). Its adaptive nature ensures responsiveness to changes in price trends.
Signal Processing Techniques: The script applies signal processing techniques such as Know sure thing, Rational Quadratic, and sigmoid transformation to enhance the quality of the generated signals. These techniques improve the accuracy and reliability of the trading signals, aiding in making well-informed trading decisions.
Trade Statistics and Metrics: The script provides comprehensive trade statistics and metrics, including total wins, losses, win rate, win-loss ratio, and early signal flips. These metrics offer valuable insights into the performance and effectiveness of the trading strategy.
Usage:
Configuring Time Windows: Users can customize the time windows by specifying the start and finish time ranges according to their trading preferences and local market conditions.
Signal Interpretation: The script generates long and short signals based on the analysis, custom moving averages, and signal processing techniques. Users should pay attention to these signals and take appropriate action, such as entering or exiting trades, depending on their trading strategies.
Trade Statistics: The script continuously tracks and updates trade statistics, providing users with a clear overview of their trading performance. These statistics help users assess the effectiveness of the strategy and make informed decisions.
Conclusion:
With its adherence to housing trading rules, advanced machine learning methods, customized moving averages like the CPMA, and signal processing techniques such as Lorentzian, Euclidean distance, Cosine similarity, Know sure thing, Rational Quadratic, and sigmoid transformation, this script offers users a powerful tool for housing market analysis and trading. By leveraging the provided signals, time windows, and trade statistics, users can enhance their trading strategies and improve their overall trading performance.
Disclaimer:
Please note that while this script incorporates established tradingview housing rules, advanced machine learning techniques, customized moving averages, and signal processing techniques, it should be used for informational purposes only. Users are advised to conduct their own analysis and exercise caution when making trading decisions. The script's performance may vary based on market conditions, user settings, and the accuracy of the machine learning methods and signal processing techniques. The trading platform and developers are not responsible for any financial losses incurred while using this script.
By publishing this script on the platform, traders can benefit from its professional presentation, clear instructions, and the utilisation of advanced machine learning techniques, customised moving averages, and signal processing techniques for enhanced trading signals and accuracy.
I extend my gratitude to TradingView, LUX ALGO, and JDEHORTY for their invaluable contributions to the trading community. Their innovative scripts, meticulous coding patterns, and insightful ideas have profoundly enriched traders' strategies, including my own.
EMA ProHi Traders!
This Improved EMA Cross Pro Indicator does a few things that Ease Up Our Charting.
Personally it Saved me Tons of Time searching for structure highs / lows, measuring ranges and distances from my entry to stop or take profit.
It's like having most of your trade in front of you, charted for you.
Works Across Assets & Time Frames.
The Functions
1. Signals EMA Crosses - green for Bull Cross & Red for Bear Cross
2. Signals Touches to the 55 EMA
a. In a Bull Cross it will only signal touches and closes Above the 55
b. In a Bear Cross it will only signal touches and closes Under the 55
3. Plots Current Horizontals:
a. The current position of the 55
b. The last High & Low
4. Calculation:
a. % from the 55 to the High & Low
b. Risk / Reward Ratio ("Bad Risk Management" message appears if ratio is not favorable)
c. Over Range between the Low and the High
5. Labels - Current prices for all horizontals marked as Entry, Exit & Stop
Notes:
* This Indicator is Interchanging between bull and bear crosses, it recognizes the trend and adapts its high and low output.
* You Can and Should make your personal changes. everything can be changed in the settings inputs.
* You can Turn On & Off most functions in the settings inputs.
BYBIT:BTCUSDT.P
Forex RadarForex Radar Indicator: A Powerful Tool for Analyzing Currency Strength and Weakness
Introduction
The Forex Radar Indicator is an innovative tool that provides a visual representation of the relative strength and weakness of various currencies in the Forex market. This indicator is designed to help traders identify potential trading opportunities by analyzing the performance of different currency pairs. In this blog post, we will explore the features and benefits of the Forex Radar Indicator, and explain how to use it effectively in your trading strategy.
Features of the Forex Radar Indicator
1. Spider Plot Visualization
The Forex Radar Indicator uses a spider plot to display the relative strength and weakness of various currencies. A spider plot is a graphical representation of multivariate data, in which each variable is plotted on a separate axis that radiates from the center of the plot. The data points are connected by lines, forming a web-like pattern that makes it easy to compare the performance of different currencies.
2. Customizable Color Scheme
The Forex Radar Indicator allows users to customize the color scheme for each currency, making it easy to identify individual currencies on the spider plot. This feature can be particularly helpful for traders who prefer specific colors for each currency, or who want to use a color scheme that matches their trading platform or charting tools.
3. EMA Divergence and RSI Style Selection
The Forex Radar Indicator offers users the flexibility to choose between two different styles: EMA divergence and RSI. The EMA divergence style displays the difference between a short-term and long-term exponential moving average, while the RSI style shows the relative strength index of the currency pairs. By selecting the preferred style, traders can customize the indicator to suit their specific trading style and strategy.
4. Flexible Input Parameters
The Forex Radar Indicator offers flexible input parameters, allowing users to customize the indicator according to their trading preferences. These parameters include the length of the moving average, the filter value for the moving average, and the normalization length. By adjusting these parameters, traders can fine-tune the indicator to suit their specific trading style and strategy.
Using the Forex Radar Indicator in Your Trading Strategy
The Forex Radar Indicator can be a valuable tool in any trading strategy, as it provides a visual representation of the currency strength and weakness. Here are some tips on how to use the Forex Radar Indicator effectively in your trading:
1. Identify Currency Strength and Weakness
The main purpose of the Forex Radar Indicator is to help traders identify the strength and weakness of various currencies. By analyzing the spider plot, traders can quickly determine which currencies are performing well and which are underperforming. This information can be used to identify potential trading opportunities, as traders can focus on currency pairs that feature a strong currency against a weak one.
2. Choose Between EMA Divergence and RSI Style
Depending on your trading style and strategy, you can choose between the EMA divergence and RSI style options provided by the Forex Radar Indicator. Both styles offer valuable insights into currency strength and weakness, but they may highlight different aspects of the market. By selecting the style that best aligns with your trading approach, you can maximize the effectiveness of the indicator in your trading strategy.
3. Combine with Other Technical Analysis Tools
While the Forex Radar Indicator provides valuable insights into currency strength and weakness, it is important to remember that no single indicator can provide a complete picture of the market. To improve the accuracy and effectiveness of your trading strategy, consider combining the Forex Radar Indicator with other technical analysis tools, such as trend lines, support and resistance levels, and other indicators.
Conclusion
The Forex Radar Indicator is a powerful tool that can help traders gain a better understanding of the relative strength and weakness of various currencies in the Forex market. By incorporating the Forex Radar Indicator into your trading strategy, you can quickly identify potential trading opportunities and make more informed trading decisions. With its customizable color scheme, EMA divergence and RSI style options, and flexible input parameters, the Forex Radar Indicator is a versatile tool that can be adapted to suit any trading style or strategy.
EMA orderly stacked or notThis script plots a green circle on top of the chart when the EMAs are stacked positively, a red circle if they are stacked negatively and gray if neither positively nor negatively stacked.
The EMAs used are:
8 EMA
21 EMA
34 EMA
55 EMA
89 EMA
Useful when you look for a quick and easy way to see if these EMAs are stacked positively or negatively as a confirmation to the Squeeze Pro indicator if going long or short (Squeeze Pro is developed by John Carter at SimplerTrading.com and can be purchased there).
Default 100 bars back, but that can be adjusted.
Remember to do your own research.
Feel free to adjust the script to your liking.
The script is not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by me.
Have fun!
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
DB ZEMAThe DB ZEMA indicator is a no repaint indicator that is designed to local trends and local tops/bottoms. Since the indicator does not repaint, decisions can be made upon bar/period OPEN.
That means, when the indicator turns red indicating a market top is finished, then a decision can be made to close at the OPEN of that period. Likewise, when the indicator turns green, a decision can be made to buy at OPEN or during the current bar.
Additionally, traders may use the ZEMA level to get insight on the strength of the asset. For example, when the ZEMA is below -50 that would indicate a major low or weakness is present. ZEMAs under a certain threshold can indicate very good investment long entry points. Alternatively, zooming the chart out to view a long range of periods can show a pattern of common low ZEMA levels can be used as a baseline for good entry points. The same holds true for existing a long or entering a short.
Using a combination of the ZEMA color and the ZEMA level it's can be easy to tell smart entry and exist points. Especially on the weekly or higher timeframes.
For traders wanting real time data, there is a setting to disable the no-repaint mode to display the current real time ZEMA value. Traders may also adjust the length. By default the length of 10 is provided which is excellent for Weekly. We recommend a length of less than 10 for even high timeframes. For example a length of 2 is excellent on 4 Month timeframe for looking at market cycles, etc.
Finally the indicator offers the ability to change the symbol. This can be helpful in crypto in comparing the chart asset again BTC or similar.
Enjoy!
Bars Since EMA Touch (BSET)// Description:
Welcome to the "Bars since EMA touch" indicator, designed and developed by StockJustice. This script provides a unique approach to analyzing price movements relative to the Exponential Moving Average (EMA). It offers valuable insights into trend strength and trend duration, allowing traders to make informed decisions.
// How it Works:
The indicator calculates the EMA based on the chosen length, which is customizable through the input settings. Additionally, it calculates the MACD (Moving Average Convergence Divergence) and its signal line to further enhance the analysis.
The script tracks the number of bars since the price touches or crosses the EMA. It provides a histogram plot that represents this count. Positive values indicate bars since the price crossed above the EMA, while negative values indicate bars since the price crossed below the EMA.
The color of the histogram bars adjusts dynamically based on the relationship between the current close price and the EMA. If the close is above the EMA and the bars since EMA touch is greater than zero, the histogram will be colored red if the signal line is above the MACD. If the close is below the EMA and the bars since EMA touch is greater than zero, the histogram will be colored green if the signal line is below the MACD. Otherwise, the histogram bars will be colored blue or white, depending on the direction of the crossover.
The script also calculates percentiles for bullish and bearish trends. These percentiles indicate the proportion of trend durations that exceed a certain threshold, which is set at 20% by default. The percentile plots help identify significant trend durations and gauge their strength relative to the entire trend history.
// Usage:
This indicator can be applied to various markets and timeframes, accommodating different trading strategies. It is suitable for both intraday and swing trading. Traders can use it in conjunction with other technical analysis tools to confirm trade entries, identify trend reversals, or determine potential price targets.
// Input Parameters:
Length of EMA: This parameter allows you to define the length of the Exponential Moving Average used in the calculations. The default value is 9, but feel free to adjust it according to your preferences and trading style.
// Notes on Uniqueness:
The "Bars since EMA touch" indicator stands out from other published scripts due to its comprehensive analysis of trend durations, the use of MACD and its signal line, and the dynamic coloring of the histogram bars based on various conditions. The incorporation of percentiles provides further insights into trend strength. This unique combination of features makes the indicator a powerful tool for traders seeking a deeper understanding of price action.
// Relevance for Technical Analysis and Trading
The "Bars since EMA touch" indicator can be utilized for various aspects of technical analysis, including trend continuation, trend reversal, and identifying potential entry and exit points. Here's how you can apply it in different scenarios:
Trend Continuation:
When the histogram bars show positive values (indicating bars since the price crossed above the EMA), it suggests the presence of an ongoing uptrend. Traders can use this information to confirm the strength of the prevailing trend. If the histogram bars remain positive and the trend continues to unfold, it signals a potential opportunity to stay in the trade or consider adding to existing positions.
Trend Reversal:
Conversely, when the histogram bars show negative values (indicating bars since the price crossed below the EMA), it indicates a potential trend reversal or the beginning of a downtrend. Traders can watch for the histogram bars to transition from positive to negative values, signaling a possible trend reversal. This information can be used as an early indication to exit long positions or consider initiating short positions.
Entry and Exit Points:
Traders can incorporate the "Bars since EMA touch" indicator with other technical analysis tools to identify optimal entry and exit points. For example, when the histogram bars are positive, indicating an ongoing uptrend, traders might consider entering long positions when the price retraces and touches the EMA. This strategy aims to capitalize on potential pullbacks within the overall upward trend.
Conversely, when the histogram bars are negative, indicating a potential downtrend, traders might wait for the price to rally and touch the EMA before considering short positions. This approach seeks to enter short positions during temporary bounces within the overall downward trend.
Confirmation with MACD:
The script also incorporates the MACD and its signal line. Traders can analyze the relationship between the MACD and the signal line to confirm trend signals provided by the histogram bars. When the MACD crosses above the signal line and the histogram bars are positive, it adds further strength to the bullish indication. Similarly, when the MACD crosses below the signal line and the histogram bars are negative, it reinforces the bearish signal.
Responsive Histogram Color Scheme:
The color change of the histogram in the "Bars since EMA touch" indicator is specifically designed to alert traders to potential trend weakness or a shift in market dynamics. When the histogram bars turn red (for uptrends) or green (for downtrends), it signifies a weakening trend as the price approaches or hovers around the EMA. This color change acts as a visual cue, indicating that the trend may be losing momentum or facing resistance. It prompts traders to exercise caution, reassess the market conditions, and consider adjusting their trading strategies accordingly, such as tightening stops, taking partial profits, or preparing for a potential trend reversal.
// Red and Green Horizontal Lines:
The plotted percentile values in the "Bars since EMA touch" indicator hold significant importance as they provide insights into the strength and duration of trends. The percentile lines represent the proportion of trend durations that exceed a certain threshold, which is set at 20% by default.
The "Bull 15% Percentile" plot indicates the percentage of bullish trends that have lasted longer than 20% of the entire trend history. A higher value suggests that a significant portion of bullish trends has surpassed the threshold, indicating the presence of relatively strong and sustained uptrends.
On the other hand, the "Bear 15% Percentile" plot represents the percentage of bearish trends that have persisted beyond 20% of the total bearish trend history. A higher value suggests that a notable proportion of bearish trends has extended beyond the threshold, signifying the presence of pronounced and enduring downtrends.
These percentile lines serve as valuable reference points for traders, as they highlight significant trend durations compared to the overall trend history. They offer insights into the relative strength and duration of the prevailing trends, enabling traders to assess the potential continuation or reversal of the current trend. Additionally, observing changes in the percentile values over time can provide further indications of shifts in market dynamics and trend strength.
By incorporating these percentile lines into their analysis, traders can gain a better understanding of the market's trend characteristics and make more informed trading decisions.
Remember, as with any technical analysis tool, it's essential to consider other factors such as support and resistance levels, volume patterns, and broader market conditions to increase the accuracy of your trading decisions. It's recommended to backtest and validate the indicator's performance before using it in live trading.
NOTE: The 9ema is plotted on the chart simply to visually show how, once contact is made, the histogram stops plotting new bars. This visualization is needed to confirm how the script works.
Broadview Dominance SuiteIntroducing the revolutionary Broadview Dominance Suite, a culmination of scientific precision and astute mathematical finance, designed to provide traders with unparalleled insights into market dynamics and the balance of power. This suite leverages a comprehensive set of seven distinct moving averages, including the Simple Moving Average (SMA), Exponential Moving Average (EMA), Hull Moving Average (HMA), Weighted Moving Average (WMA), Volume Weighted Moving Average (VWMA), Triple Exponential Moving Average (TEMA), and Least Squares Moving Average (LSMA). Through the combination of these moving averages, the Broadview Dominance Suite offers traders an authoritative perspective on the control exerted by market participants over a given period.
At the heart of the Broadview Dominance Suite lies the concept of the balance of power, a pivotal determinant of market dynamics. The balance of power refers to the tug-of-war between buyers (bulls) and sellers (bears) within the market. By analyzing the relationship between the market participants, the suite allows traders to identify and comprehend who holds control over a specific timeframe.
The seven different types of moving averages employed in the Broadview Dominance Suite contribute to an in-depth assessment of market dominance. Each moving average possesses unique characteristics that facilitate a comprehensive evaluation of the balance of power. Let's delve into the moving averages included in this suite and their respective properties:
Simple Moving Average (SMA): The SMA, known for its simplicity, calculates the average price over a specified period. When applied to the balance of power, the SMA provides a smoothed line that highlights overall price trends. Its straightforward nature allows for a clear interpretation of the dominant market forces.
Exponential Moving Average (EMA): The EMA assigns more weight to recent prices, making it highly responsive to short-term price movements. By incorporating the EMA into the balance of power analysis, traders can identify potential trend reversals and shifts in market control with increased accuracy.
Hull Moving Average (HMA): The HMA employs weighted moving averages and a square root function to reduce lag and noise. This results in a smoother line that closely aligns with current price action. When assessing the balance of power, the HMA enables traders to discern precise trend indications, minimizing false signals and providing a clearer understanding of market dominance.
Weighted Moving Average (WMA): The WMA assigns varying weights to different price points within the selected period, placing greater emphasis on recent data. This feature allows the WMA to be more sensitive to recent price changes. When utilized in the analysis of the balance of power, the WMA excels at detecting short-term shifts in market control and identifying periods of heightened buying or selling pressure.
Volume Weighted Moving Average (VWMA): The VWMA incorporates trading volume into its calculation, highlighting the importance of volume in determining market dynamics. By integrating volume data, the VWMA offers a more comprehensive understanding of price levels where significant buying or selling activity occurs. In the context of the balance of power, the VWMA provides valuable insights into the intensity of market control exerted by the bulls or bears.
Triple Exponential Moving Average (TEMA): The TEMA employs multiple exponential smoothing techniques to reduce lag and enhance responsiveness. It excels at capturing short-term price movements and potential trend reversals. By incorporating the TEMA into the analysis of the balance of power, traders can gain a deeper understanding of swift shifts in market control, allowing for timely decision-making.
Least Squares Moving Average (LSMA): The LSMA minimizes the sum of squared differences between the moving average and the actual price, resulting in a curve that closely fits the price data. When applied to the balance of power, the LSMA provides a smooth line that effectively captures significant price trends. Its ability to filter out noise ensures a clearer representation of dominant market forces.
By combining these seven moving averages within the Broadview Dominance Suite, traders gain an authoritative assessment of market control. The interplay between these moving averages presents a nuanced and multi-faceted perspective on the balance of power. When a line falls below the center line, it signifies the market is under the control of the bears, indicating a dominance of selling pressure. Conversely, when the lines rise above the center line, it suggests the market is controlled by the bulls, with buying pressure prevailing.
The HoneyChai RSI by CoffeeShopCryptoHere is a fun new way to view the RSI. A new TradingView Indicator for you RSI enthusiasts. This is the Honey Chai RSI Indicator.
This indicator combines the RSI oscillator with additional features to enhance its functionality and visual study.
The purpose of this indicator is to provide a more comprehensive view of the RSI and aid in identifying trends, potential entry / exit points, and ranging conditions.
How it's Built.
The RSI:
The RSI is represented by its common line which you can turn on and off, as usual.
Japanese candlesticks:
In this indicator, are also Japanese candlesticks giving you their representation of the RSI. This provides a clearer visualization of the RSI movements across its Open, High, Low, and Close, unlike the OHLC of the Heiken Ashi candles in the Heiken Ashi Algo.
In addition to the RSI line and Japanese candles, there are two moving averages applied to the RSI value. For the purpose of keeping with my CoffeeShop theme, the High average line is the Honey Line and the Low average line is the Chai Line. The user can choose between Exponential Moving Average or Simple Moving average. These moving averages are calculated based on the high vs low values of the past RSI readings, with the high average acting as the leading line.
When the Honey line is above the Chai Line, it indicates an uptrend, whereas when the Honey Line is below the Chai Line, it suggests a downtrend.
If the price is moving up but the Honey line is still below the Chai line, you're technically still in a downtrend and you should trade this like a pullback.
Identifying Trends.
To identify short entries, you need to wait for the Japanese candles to open and close below the Honey line while the Honey line is below the Chai Line. Conversely, you wait for the Japanese candles to open and close above the Honey line while the Honey line is above the Chai Line. This confirmation helps in identifying potential reversal points.
Range Bound Market.
The indicator also incorporates a visual representation of a ranging area. The 60 and 40 levels of the RSI are visually differentiated to indicate this range. When the Japanese candles are opening and closing within this range and the RSI remains contained within these levels, it suggests that the price is likely in a ranging phase, and traders should wait for a breakout from this range before taking action.
In summary, this custom indicator provides a comprehensive view of the RSI oscillator by incorporating Japanese candlestick visuals, moving averages, and a visual representation of the ranging area. By analyzing these elements, traders can gain insights into trends, potential entry points, and ranging conditions in the market.
---------HOW TO TRADE-----------
LONGS AND SHORTS
An example on how to use this in a long trade is to wait for your moving averages to be high (yellow) over low (orange). For the purpose of the description in this indicator you're looking for the honey to be over the chai.
Even if the RSI and Japanese candles in the oscillator are falling, however the honey is above the Chai, you are still in an uptrend.
The positioning of the moving averages will always determine the direction of the overall price trend so in this position you're looking for long entries.
take a long position as an entry when the open and the close of the Japanese candle in the oscillator is above your honey line.
when you notice a bearish candle closing below the honey line in an uptrend position you can exit your trade.
Confluence for short trades would be just the opposite and using the moving averages in an upside down pattern. In other words the honey needs to be below the chai and your Japanese candle needs to be closing bearish however they open and the close of that candle needs to be below both of your moving averages. exit when you get a bullish candle closing in between the averages.
TRADING RANGES
Wait for your moving average to enter into the range bound 60/40 area as well as your Japanese candles to Wick above and below this area but not close above and below the area.
At this point you can mark off the high and the low of the range as it pertains to your price chart and start using your range trading strategy.
VWAP + 2 Moving Averages + RSI + Buy and SellIndicator: VWAP + 2 Moving Averages + RSI + Buy and Sell
Buy and Sell Arrows (Great for use alone or in conjunction with other scripts on the chart)
This indicator displays BUY (BUY) and SELL (SELL) arrows on the chart based on a combination of moving averages, VWAP and RSI. Arrows are a visual way to identify trading opportunities and can be useful for traders who want to follow a strategy based on these conditions.
The indicator uses two moving averages (20 and 50 periods) to identify upward crosses (buy) and downward crosses (sell). In addition, it takes into account VWAP (Volume Weighted Average Price) and RSI (Relative Strength Index) as additional filters to confirm buy and sell signals.
This script is great for use both independently and in conjunction with other indicators and strategies. You can combine it with other indicators and customize it to your preferences to create a more comprehensive trading strategy.
Please remember that this indicator is provided for educational purposes only and does not constitute financial advice. It is always recommended to carry out a thorough analysis before making any trading decisions.
Give this indicator a try and enjoy clear visualization of buy and sell arrows on your chart. Happy trading!
5EMA BollingerBand Nifty Stock Scanner
What ?
We all heard about (well: over-heard) 5-EMA strategy. Which falls into the broader category of mean reversal type of trading setup.
What is mean reversal?
Price (or any time series, in fact) tries to follow a mean . Whenever price diverges from the mean it tries to meet it back.
It is empirically observed by some traders (I honestly don't know who first time observed it) that in Indian context specially, 5 Exponential Moving Average (5-EMA) works pretty good as that mean.
So whenever price moves away from that 5-EMA, it ultimately comes back and attain total nirvana :) Means: if price moved way higher than the 5EMA without touching it, then price will correct to meet it's 5-EMA and if price moved way lower, it will be uplifted to meet it's 5-EMA. Funny - but it works !
Now there are already enough social media coverage on this 5-EMA strategy/setup. Even TradingView has some excellent work done on these setups. Kudos to all those great souls.
So when we came to know about this, we were thinking what we should do for the community. Because it is well cover topic (specially in Indian context). Also, there are public indicators.
Then we thought why not come up with a scanner which will scan all the Nifty-50 constituent stocks and find out on the fly, real-time which all stocks are matching this 5-EMA setup and causing a Buy/Sell trade recommendation.
Hence here we are with the first version of our first scanner on the 5EMA setup (well it has some more masala than merely a 5-EMA setup).
Why?
Parts of why is already covered up.
Now instead of blindly following 5-EMA setup, we added the Bollinger band as well. Again: it's also not new. There are enough coverage in social media about the 5-EMA+BB strategy/setup. We mercilessly borrowed from all of these.
Suppose you have an indicator.
Now you apply the indicator in your chart. And then you need to (rock) and roll through your watchlist of Nifty-50 stocks (note: TradingView has no default watchlist of Nifty-50 stock by default - you have to create one custom watchlist to list all manually) to find out which all are matching the setup, need to take a note about the trade recomendations (entry, SL, target) and other stuffs like VWAP, Volume, volatility (Bollinger Band Width).
Not any more.
This scanner will track all the Nifty-50 stocks (technically: 40 stocks other than Banking stocks) and provide which one to Buy or Sell (if any), what's the entry, SL, target, where is the VWAP of the day, what's the picture in volume (high, low, rising, falling) and the implied volatility (using Bolling band width). Also it has a naive alerting mechanism as well.
In fact the code is there to monitor the (Future) OI also and all the OI drama (OI vs price and all the 4 stuffs like long build up, long unwinding, short covering, short buildup). But unfortunately, due to some limitations of the TradingView (that one can not monitor more than 40 `ta.security` call) we have to comment out the code. If you wish you can monitor only 20 stocks and enable the OI monitoring also (20 for stocks + 20 for their OI monitoring .. total 40 `ta.security` call).
How?
To know the divergence from 5-EMA we just check if the high of the candle (on closing) is below the 5-EMA. Then we check if the closing is inside the Bollinger Band (BB). That's a Buy signal. SL: low of the candle, T: middle and higher BB.
Just opposite for selling. 5-EMA low should be above 5-EMA and closing should be inside BB (lesser than BB higher level). That's a Sell signal. SL: high of the candle, T: middle and lower BB.
Along with we compare the current bar's volume with the last-20 bar VWMA (volume weighted moving average) to determine if the volume is high or low.
Present bar's volume is compared with the previous bar's volume to know if it's rising or falling.
VWAP is also determined using `ta.vwap` built-in support of TradingView.
The Bolling Band width is also notified, along with whether it is rising or falling (comparing with previous candle).
Simple, but effective.
Customization
As usual the EMA setup (5 default), the BB setup (20 SMA with 1.5 standard deviation), we provided option wherther to include or exclude BB role in the 5-EMA setup (as we found out there are two schools of thought .. some people use BB some don't. Lets make all happy :))
We also provide options to choose other symbols using Settings if they wish so. We have the default 40 non banking Nifty stocks (why non-banking? - Bank Nifty is in ATH :) .. enough :)). But if user wishes can monitor others too (provided the symbol is there in TradingView).
Although we strongly recommend the timeframe as 30 minutes , you can choose what's fit you most.
The output of the scanner is a table. By default the table is placed in the right-bottom (as we are most comfortable with that). However you can change per your wish. We have the option to choose that.
What is unique in it ?
This is more of an indicator. This is a scanner (of Nifty-50 stocks). So you can apply (our recommendation is in 30m timeframe) it to any chart (does not matter which chart it is) and it will show every 30 mins (which is also configurable) which all stocks (along with trade levels) to Buy and Sell according to the setup.
It will ease your trading activity.
You can concentrate only on the execution, the filtering you can leave it to this one.
Limitations
There is a build in limitation of the TradingView platform is that one can call only upto 40 securities API. Not beyond that. So naturally we are constraint by that. Otherwise we could monitor 190 Nifty F&O stocks itself.
30m is the recommended timeframe. In very lower (say 5m) this script tends to go out of heap (out of memory). Please note that also.
How to trade using this?
Put any chart in 30m (recommended) timeframe.
Apply this screener from Indicators (shortcut to launch indicators is just type / in your keyboard).
This will provide the Buy (shown in green color) or Sell (shown in red color) recommendations in a table, at every 30m candle closing.
Note the volume and BB width as well.
Wait for at least 2 5-minutes candles to close above/below the recommended level .
Take the trade with the SL and target mentioned.
Mentions
@QuantNomad. The whole implementation concept we mercilessly borrowed from him, even some of his code snippet we took it (after asking him through one of his videos comment section and seeking explicit permission which he readily granted within an hour). Thank You sir @QuantNomad. Indebted to you.
Monika (Rawat) ji: for reviewing, correcting, providing real time examples during live market hours, often compromising her own trading activities, about the effectiveness and usefulness of this setup. Thank You madam ji. Indebted to you.
There are innumerable contents in social media about this. Don't even know whom all we checked. Thanks to all of them.
Happy Trading (in stocks - isn't enough of Indices already?)
Disclaimer
This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading.
The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey.
The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market.
While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
PhenomIt is a simple and effective tool for trading on moving averages.
The main advantage is that an ATR-based risk management system is included here. The system is based on the work of FullTimeTradingRu and the FBMA indicator
How to use the system:
1. I recommend using a daily timeframe.
2. Look for a rebound from the moving average, the most effective 20 Ema. For convenience, the colors of the bars are painted green in an uptrend.
3. Enter the transaction using hints. The recommended number of shares to buy is indicated in the table, taking into account your deposit and the risk per transaction from the deposit (by default 1%). Stop 1.5 ATR. Everything is the same for opening short positions.
4. I recommend entering the second trade only if the previous one passed 0.5 ATR, thereby confirming the trend and the fact that you correctly guessed the movement.
There are ATR settings in the script
Last bar show — How many bars to show
ATR lines ATR Step — For a more convenient view, ATR lines can be turned into a ladder.
Rainbow Drift BetaRainbow Drift Beta is an indicator that detects the triggers of long and short positions at any TF.
It's based on two different type of approaches to the EMAs periods:
- Classic EMAs periods: 10 and 50
- Cycle EMAs perdios: 16, 64 and 256
The 256 period EMA (Annual Cycle) detects the trend: if the EMA 64 (Three-Weekly Cycle) is above, it shows an uptrend; while the EMA 64 is below, it means that the price action is in downtrend.
10 and 16 periods EMAs are working together as well as the 50 and the 64. The first couple reacts faster than the second one and as soon as the 10 is above the 16, the band shows the first attempt of the price action to go in the uptrend direction. The same concept is applied to the second couple (50, 64): when EMA 50 > EMA 64 it's a confirmation of the faster EMAs long direction. Viceverca happens for the downtrend but with the same concept.
As the EMA periods taken in consideration are quite often a sensitive level of reaction of the price, the indicator detects when there is trigger of a long or a short set up and plots a label on the chart. It's possibile to set up an alert as well.
Quite important, the indicator is looking for sideways patterns as the breakout of them shows a clear direction of the price.
Moreover, in order to privide the first and the best entry possibile, the indicator has a function that is triggering only one time as the trend reverted: for example, a long entry on the EMA 10-16 happens only one time since they crossover the EMA 64.
As included in the name, this is a beta version and new improvements will be added in the near future like suggested price entry, SL and TP, and the focus of the development is to avoid as much as possibile the false triggers.
Of course the best way to improve the code is to receive the users' feedbacks, so please feel free to post your comments and questions.
RottenZero JMET Buy & Sell Signal”RottenZero JMET Buy & Sell Signal" is a custom indicator designed to help traders identify potential buy and sell signals in the market by unifying multiple indicators into a single tool.
(J(JMA)+M(MACD)+E(EMA)+T(Trend))
This was inspired by YouTube videos that showcased trading strategies using separate indicators.
The indicator combines the Jurik Moving Average (JMA), Moving Average Convergence Divergence (MACD), and Exponential Moving Averages (EMA) into a concise visual representation using circles and background colors.
The indicator plots various events as circles with varying opacity levels, which helps visualize the strength of the signals.
It also changes the background color to green for a long signal and red for a short signal, indicating potential buy and sell signals, respectively.
Here's some examples:
(Please note that signals are not always accurate and should be used as a reference in your trading decisions, rather than relying solely on them.
It's essential to use proper risk management and incorporate other aspects of technical and fundamental analysis to make well-informed trading decisions.)
I hope this unified indicator proves to be a valuable tool in your trading.
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(KO)
"RottenZero JMET Buy & Sell Signal"은 여러 지표를 하나의 도구로 합쳐 잠재적인 매수 및 매도 신호를 파악하는 데 도움이 되도록 설계된 인디케이터입니다.
(J(JMA)+M(MACD)+E(EMA)+T(Trend))
이 인디케이터는 별도의 여러 지표를 사용한 거래 전략을 보여주는 YouTube 동영상에서 영감을 얻어 더 편하게 사용하기 위해 만들게 되었습니다.
지표는 Jurik 이동 평균 (JMA), 이동 평균 수렴 발산 (MACD), 지수 이동 평균 (EMA)을 원형 및 배경색을 사용하여 심플하게 보이도록 했습니다.
지표는 다양한 투명도 수준의 원으로 이벤트를 표시하여 신호의 강도를 시각화하는 데 도움이 됩니다.
또한 배경색을 Long 신호의 경우 초록색으로, Short 신호의 경우 빨간색으로 변경하여 잠재적인 매수 및 매도 신호를 나타냅니다.
(신호가 항상 정확하지는 않으므로, 이를 거래 결정에 대한 참조로 사용하고 전적으로 의존하지 마시길 바라며,
적절한 리스크 관리와 기술적이고 기본적인 여러 근거들을 포함하여 신중한 거래 결정을 내리시기를 바랍니다.)
이 인디케이터가 거래하실 때 도움이 되시기를 바라겠습니다.
RSI Exponential Smoothing (Expo)█ Background information
The Relative Strength Index (RSI) and the Exponential Moving Average (EMA) are two popular indicators. Traders use these indicators to understand market trends and predict future price changes. However, traders often wonder which indicator is better: RSI or EMA.
What if these indicators give similar results? To find out, we wanted to study the relationship between RSI and EMA. We focused on a hypothesis: when the RSI goes above 50, it might be similar to the price crossing above a certain length of EMA. Similarly, when the RSI goes below 50, it might be similar to the price crossing below a certain length of EMA.
Our goal was simple: to figure out if there is any connection between RSI and EMA.
Conclusion: Yes, it seems that there is a correlation between RSI and EMA, and this indicator clearly displays that relationship. Read more about the study here:
█ Overview of the indicator
The RSI Exponential Smoothing indicator displays RSI levels with clear overbought and oversold zones, shown as easy-to-understand moving averages, and the RSI 50 line as an EMA. Another excellent feature is the added FIB levels. To activate, open the settings and click on "FIB Bands." These levels act as short-term support and resistance levels which can be used for scalping.
█ Benefits of using this indicator instead of regular RSI
The findings about the Relative Strength Index (RSI) and the Exponential Moving Average (EMA) highlight that both indicators are equally accurate (when it comes to crossings), meaning traders can choose either one without compromising accuracy. This empowers traders to pick the indicator that suits their personal preferences and trading style.
█ How it works
Crossings over/under the value of 50
The EMA line in the indicator acts as the corresponding 50 line in the RSI. When the RSI crosses the value 50 equals when Close crosses the EMA line.
Bouncess from the value 50
In this example, we can see that the EMA line on the chart acts as support/resistance equals when RSI rejects the 50 level.
Overbought and Oversold
The indicator comes with overbought and oversold bands equal when RSI becomes overbought or oversold.
█ How to use
This visual representation helps traders to apply RSI strategies directly on the price chart, potentially making RSI trading easier for traders.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Fibonacci Retracements & Trend Following Strategy Hello! This code creates a Fibonacci retracement indicator and a trend-following strategy indicator. Trading signals and price reversal targets are also calculated. The overall structure of the code is quite clear and readable. The purpose of the code is to calculate Fibonacci retracement levels and a trend-following indicator, display price levels on a chart, calculate trading signals, and calculate price reversal targets.
In the first section, Fibonacci levels are determined. Four different Fibonacci levels are defined: 0.236, 0.382, 0.618, and 0.786. These levels will be used as retracement levels.
Next, a trend-following indicator is calculated. This indicator calculates the averages of high and low prices over a certain period. This indicator can be used to determine the direction of the trend.
Then, price levels are calculated. These levels are determined by calculating the difference between the highest and lowest prices of the trend-following indicator. These levels are used in the calculation of Fibonacci retracement levels.
Next, Fibonacci levels are calculated. These levels are calculated by multiplying price levels with Fibonacci retracement levels. These levels are displayed on the chart.
Trading signals and price reversal targets are calculated. This can be used to trade using a Fibonacci retracement strategy.
Finally, price reversal targets are displayed as circles on the chart.
Usage Guide: Fibonacci Retracement Indicator and Trend Following Strategy
This indicator is used for calculating Fibonacci retracement levels and a trend following indicator, displaying price levels on the chart, calculating trading signals, and determining price targets for reversals. It is important to understand how the indicator works and what type of trading signals it generates before trading with it.
1.)Fibonacci Retracement Levels
Fibonacci retracement levels are used to measure the retracement levels of a trend on the chart. These levels can be used where traders are looking for a reversal signal in the market.
This indicator uses four different Fibonacci levels, which are 0.236, 0.382, 0.618, and 0.786. These levels will be used as retracement levels.
2.)Trend Following Indicator
The trend following indicator calculates the averages of high and low prices over a specific period. This indicator can be used to determine the direction of the trend. While showing a rising trend, it helps the prices stay high, and when showing a falling trend, it can help the prices stay low.
3.)Price Levels
Price levels are determined by calculating the difference between the highest and lowest prices of the trend following indicator. These levels are used to calculate Fibonacci retracement levels.
4.)Trading Signals and Price Reversal Targets
Trading signals and price reversal targets can be used to trade using a Fibonacci retracement strategy. The indicator can buy at Fibonacci levels where prices are retreating in an uptrend, and sell at Fibonacci levels where prices are retreating in a downtrend.
Price reversal targets are shown on the chart in circles.
5.)Fibonacci Retracement Targets
The Fibonacci retracement targets are shown in circles on the chart. These target price levels are calculated by applying Fibonacci retracement levels to the high and low price ranges. These levels can help determine buy or sell signals.
6.)Buy and Sell Signals
The most important feature of the indicator is to determine buy and sell signals. A buy signal is given when the trend-following indicator falls below one of the Fibonacci retracement levels and the price drops below it. A sell signal is given when the trend-following indicator rises and the price goes above one of the Fibonacci retracement levels.
7.)Target Price Levels
Using the retracement levels can be used to determine potential target price levels. Target price levels are determined based on Fibonacci retracement levels and positions can be closed when these levels are reached.
8.)Examples of Using the Indicator:
a) Buy Signal
If the trend-following indicator drops below the 0.618 Fibonacci retracement level and the price falls below it, a buy signal can be given. The target price level can be between the 0.382 and 0.236 Fibonacci retracement levels.
b) Sell Signal
If the trend-following indicator rises and the price goes above the 0.236 Fibonacci retracement level, a sell signal can be given. The target price level can be between the 0.382 and 0.618 Fibonacci retracement levels.
c) Target Price Levels
When a position is opened, target price levels can be determined based on Fibonacci retracement levels. For example, when opening a buy position, the target price level can be between the 0.382 and 0.236 Fibonacci retracement levels.
The use of the indicator can be made more effective by using it together with other technical analysis tools. In addition, practical experimentation with the use of the indicator in different scenarios can help understand how the indicator works.
EMA + ATR Support/Resistance Auto-Boxed Range + Take profitUnveiling the 'EMA + ATR Support/Resistance Auto-Boxed Range + Take profit signal' tool, an innovative resource engineered for discerning traders to pinpoint crucial dynamic support and resistance levels (not like the common pivot based support and resistance indictors). The tool ingeniously amalgamates the power of EMA and ATR indicators to delineate these levels as green and red bands, offering invaluable insights into potential trading windows.
The real game-changers in this tool are the newly incorporated 'Auto Boxed Range Detector' and the 'Bull Bear Tug of War' detector. The Auto Boxed Range Detector is at the core of this update, illuminating price ranges to give you the upper hand in detecting breakouts or breakdowns. This feature has been designed meticulously to automate the identification of trading ranges, thereby increasing the accuracy and speed of your decision-making process. Also, this helps avoiding fake breakouts. If the top of the boxed range is near resistance line it is less likely to breakout unless we are on a trend day.
Simultaneously, the Bull Bear Tug of War detector (the little red and green triangles at the bottom) introduces an entirely new dimension of market dominance visualization. This detector embodies market power struggles through vivid red and green triangles, supplemented by translucent colors for transitional periods or potential false-outs. It's a dynamic, real-time pictorial representation of the ceaseless tug of war between bulls and bears captured by a combination of RSI, CCI, MACD, STOCHASTIC, AND VWAP, enabling you to anticipate market swings better. You can change the position of the triangles in the setting and move the red ones to top and keep the green ones in the bottom.
Customization options are plentiful, including the ability to tweak the EMA and ATR lengths, with default values set at 20 and 14 respectively. Additionally, you can modify the ATR multiplier in the S/R length setting, defaulted at 2, and the line width for optimal visibility. The EMA line can be made visible in the settings, while support and resistance lines are color-coded in green and red for instant recognition.
When prices make contact with these levels, the tool generates visual cues in the form of crosses above or below the price bars, thus serving as potential take profit or entry/exit points. Should you prefer, take profit signals can be deactivated in the settings.
To leverage this tool to its maximum potential:
- Fine-tune the EMA and ATR lengths to resonate with your trading strategy. Longer lengths yield smoother lines but may trail current prices.
- Determine the S/R length to govern the spacing of support and resistance lines from the EMA line.
- Stay alert for crosses above or below the price bar, signaling when prices have met support or resistance levels. These are key indicators for potential take profit or entry/exit decisions.
- For best results, this tool should be used in conjunction with other indicators to corroborate signals and minimize false alerts. The ultimate aim is to utilize other indicators to initiate a trade and rely on this tool to provide timely take profit reminders.
Bear in mind, this tool should not be the sole determinant in your investment decisions. Comprehensive research and a multifaceted approach are indispensable when contemplating any trades.
Divergences in 52 Week Moving Averages, Adjusted and SmoothedThis script description is intended to be holistic and comprehensive for the understanding of the interested parties who view the script.
Following the PineCoders suggestions, I have provided detailed breakdowns both within the code and in the description immediately below:
► Description
This description is intended to be detailed and meaningful, conveying the understanding of the script’s intention to the user:
The theory: Divergences and extreme readings in 52-Week highs on major indexes can provide a view into a potential pending move in the opposite direction of how the market has been trending. By comparing the 52-Week Hi/Lo indices and applying an Exponential Moving Average (EMA), we can assess how extreme a move is from the average. If the move provides an extreme reading, it would potentially be beneficial to “fade” the move (take a position in the opposing direction).
The intention: The intentionality of this script is to provide a visualization of when the highly-probable opportunity to fade over a multi-day or multi-week period arises. In addition to this, based on backtesting prior moves and reading the various levels of significant reversals, three tiers: “Standard”, “Sensitive”, and “Highly Sensitive” have been applied, the user can choose which sensitivity level they would like to see, there are far less false positives on the Standard and Sensitive settings, while Highly Sensitive often signals multiple times with the move coming a few days later.
The application: The settings allow the user to customize their sensitivity to the fade signals, with the ability to customize the visual that shows up as well. For higher-highs that are fade-worthy, the signal will appear on the top of the candle, for lower-lows that are fade-worthy, the signal will appear on the bottom of the candle. The users risk criteria should be the primary driver of the entry/exit, although when backtesting it appears that the significant move is typically completed within a 2-4 week period at max and 3-5 day period at minimum.
A personal note: I am a futures trader intraday but would very strongly caution users when using this strategy with futures (unless their risk tolerance is higher than most). The most beneficial strategy when fading moves would be to enter in tranches, starting at the first signal and adding on any pullback (as long as the pullback is not below the initial entry point). 1-6 Week Date-To-Expiry options would be the primary method for applying this strategy. I would also like to add that SPY/SPX options (SPDR S&P 500 ETF Trust / CBOE S&P 500 Index) are the most liquid options that could be applied in this strategy.
► Description (additional)
With the understanding that few users can read pinescript (Pine), the description above contains all of the necessary information that is necessary for a user to understand the intention for script utilization. For those who do understand Pine, the code is commented in each section in order to provide an understanding of the underlying functions, calculations, and thought process that went on during the writing of the script.
► Description (additional)
This script’s description contains no delegations, all aspects of the script as well as the initial idea behind it are contained in the description above, which is self-contained in it’s entirety with a clear and defined purpose that is written with the intent to holistically capture the intent of the potential use for this indicator.
► General House Rule #2
This script and the description (as well as my profile) contain no links or associations to promotion of any kind, I am not a business, I am not an individual that will in any way make money from this script or the promotion of another person, idea, company, entity, or legal persons (foreign or domestic).
► Originality and usefulness
This is an original and custom script (and idea) that is not a rehashing or a copy of any code from any other programmers in the tradingview community.
Conceptive Price Moving Average [CSM]The Conceptive Price Moving Average (CPMA) is a technical indicator designed to provide a more accurate moving average of the price by using the average of various price types, such as open, close, high, low, etc. The CPMA can help to smooth out the noise and provide a clearer picture of the overall trend by taking the average of the last 3 candles for each price type and then calculating the average of those averages.
To use the CPMA for generating buy/sell signals, you can look for crossovers of the CPMA and other commonly used moving averages, such as the 9-period EMA, 20-period EMA, 50-period EMA, 100-period EMA, and 200-period EMA, which are also plotted on the chart. When the CPMA crosses above a shorter-term moving average, such as the 9-period EMA or 20-period EMA, it can indicate a potential buy opportunity, while when the CPMA crosses below a shorter-term moving average, it can indicate a potential sell opportunity.
Based on my analysis of BankNifty and Nifty, I have found that the CPMA works best at a length of 21, showing good resistance and support for stocks. Therefore, I recommend using a length of 21 when using the CPMA for generating buy/sell signals.
AI-Bank-Nifty Tech AnalysisThis code is a TradingView indicator that analyzes the Bank Nifty index of the Indian stock market. It uses various inputs to customize the indicator's appearance and analysis, such as enabling analysis based on the chart's timeframe, detecting bullish and bearish engulfing candles, and setting the table position and style.
The code imports an external script called BankNifty_CSM, which likely contains functions that calculate technical indicators such as the RSI, MACD, VWAP, and more. The code then defines several table cell colors and other styling parameters.
Next, the code defines a table to display the technical analysis of eight bank stocks in the Bank Nifty index. It then defines a function called get_BankComponent_Details that takes a stock symbol as input, requests the stock's OHLCV data, and calculates several technical indicators using the imported CSM_BankNifty functions.
The code also defines two functions called get_EngulfingBullish_Detection and get_EngulfingBearish_Detection to detect bullish and bearish engulfing candles.
Finally, the code calculates the technical analysis for each bank stock using the get_BankComponent_Details function and displays the results in the table. If the engulfing input is enabled, the code also checks for bullish and bearish engulfing candles and displays buy/sell signals accordingly.
The FRAMA stands for "Fractal Adaptive Moving Average," which is a type of moving average that adjusts its smoothing factor based on the fractal dimension of the price data. The fractal dimension reflects self-similarity at different scales. The FRAMA uses this property to adapt to the scale of price movements, capturing short-term and long-term trends while minimizing lag. The FRAMA was developed by John F. Ehlers and is commonly used by traders and analysts in technical analysis to identify trends and generate buy and sell signals. I tried to create this indicator in Pine.
In this context, "RS" stands for "Relative Strength," which is a technical indicator that compares the performance of a particular stock or market sector against a benchmark index.
The "Alligator" is a technical analysis tool that consists of three smoothed moving averages. Introduced by Bill Williams in his book "Trading Chaos," the three lines are called the Jaw, Teeth, and Lips of the Alligator. The Alligator indicator helps traders identify the trend direction and its strength, as well as potential entry and exit points. When the three lines are intertwined or close to each other, it indicates a range-bound market, while a divergence between them indicates a trending market. The position of the price in relation to the Alligator lines can also provide signals, such as a buy signal when the price crosses above the Alligator lines and a sell signal when the price crosses below them.
In addition to these, we have several other commonly used technical indicators, such as MACD, RSI, MFI (Money Flow Index), VWAP, EMA, and Supertrend. I used all the built-in functions for these indicators from TradingView. Thanks to the developer of this TradingView Indicator.
I also created a BankNifty Components Table and checked it on the dashboard.
