ema cross by himanshu and sunilCombined EMA & SuperTrend Indicator
The "Combined EMA & SuperTrend Indicator" is a powerful technical analysis tool designed to assist traders in identifying trends and potential entry/exit points in the markets. This indicator combines two popular indicators: Exponential Moving Averages (EMAs) and the SuperTrend indicator, providing a comprehensive view of market conditions.
Key Features:
EMA Visualization: The indicator plots both short-term and long-term Exponential Moving Averages (EMAs) on the chart. The EMAs help traders identify the underlying trend and potential reversals.
SuperTrend Indicator: The SuperTrend indicator is used to identify trends and potential stop-loss levels. The indicator adapts to changing market conditions by factoring in the Average True Range (ATR) and a user-defined factor.
Alerts: The indicator generates alerts for specific conditions, such as crossovers of the EMAs and SuperTrend direction changes. This helps traders stay informed about potential trading opportunities.
How to Use:
EMA Crossovers: Pay attention to the crossovers of the short-term and long-term EMAs. When the short-term EMA crosses above the long-term EMA, it may indicate a potential bullish trend. Conversely, when the short-term EMA crosses below the long-term EMA, it may suggest a bearish trend.
SuperTrend Direction: Watch the color of the SuperTrend line. A green line indicates an uptrend, while a red line suggests a downtrend. This can help you confirm the overall trend direction.
Alerts: Take advantage of the built-in alerts to receive notifications when significant events occur, such as EMA crossovers or SuperTrend direction changes. This can help you stay informed even when you're not actively monitoring the chart.
Usage:
Apply the "Combined EMA & SuperTrend Indicator" to any chart on TradingView to visualize the EMAs and SuperTrend lines.
Configure the EMA periods, ATR length, and SuperTrend factor according to your trading style and preferences.
Utilize the generated alerts to promptly react to potential trading opportunities.
Note: This indicator is intended for educational and informational purposes. Always perform thorough analysis and consider risk management practices before making trading decisions.
Disclaimer: This indicator does not guarantee profitable trades. Past performance is not indicative of future results. Trading involves risk, and you should only trade with funds you can afford to lose.
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RVol LabelThis Code is update version of Code Provided by @ssbukam, Here is Link to his original Code and review the Description
Below is Original Description
1. When chart resolution is Daily or Intraday (D, 4H, 1H, 5min, etc), Relative Volume shows value based on DAILY. RVol is measured on daily basis to compare past N number of days.
2. When resolution is changed to Weekly or Monthly, then Relative Volume shows corresponding value. i.e. Weekly shows weekly relative volume of this week compared to past 'N' weeks. Likewise for Monthly. You would see change in label name. Like, Weekly chart shows W_RVol (Weekly Relative Volume). Likewise, Daily & Intraday shows D_RVol. Monthly shows M_RVol (Monthly Relative Volume).
3. Added a plot (by default hidden) for this specific reason: When you move the cursor to focus specific candle, then Indicator Value displays relative volume of that specific candle. This applies to Intraday as well. So if you're in 1HR chart and move the cursor to a specific candle, Indicator Value shows relative volume for that specific candlestick bar.
4. Updating the script so that text size and location can be customized.
Changes to Updated Label by me
1. Added Today's Volume to the Label
2. Added Total Average Volume to the Label
3. Comparison vs Both in Single Line and showing how much volume has traded vs the average volume for that time of the day
4. Aesthetic Look of the Label
How to Use Relative Volume for Trading
Using Relative Volume (RVol) in trading can be a valuable tool to help you identify potential trading opportunities and gain insight into market behavior. Here are some ways to use RVol in your trading strategy:
Identifying High-Volume Breakouts: RVol can help you spot potential breakouts when the volume surges significantly above its average. High RVol during a breakout suggests strong market interest, increasing the probability of a sustained move in the direction of the breakout.
Confirming Trends and Reversals: RVol can act as a confirmation tool for trends and reversals. A trend accompanied by rising RVol indicates a strong and sustainable move. Conversely, a trend with declining RVol might suggest a weakening trend or potential reversal.
Spotting Volume Divergence: When the price is moving in one direction, but RVol is declining or not confirming the move, it may indicate a divergence. This discrepancy could suggest a potential reversal or trend change.
Support and Resistance Confirmation: High RVol near key support or resistance levels can indicate potential price reactions at those levels. This confirmation can be valuable in determining whether a level is likely to hold or break.
Filtering Trade Signals: Incorporate RVol into your existing trading strategy as a filter. For example, you might consider taking trades only if RVol is above a certain threshold, ensuring that you focus on high-impact trading opportunities.
Avoiding Low-Volume Traps: Low RVol can indicate a lack of interest or participation in the market. In such situations, price movements may be erratic and less reliable, so it's often wise to avoid trading during low RVol periods.
Monitoring News Events: Around significant news events or earnings releases, RVol can help you gauge the market's reaction to the information. High RVol during such events can present trading opportunities but be cautious of increased volatility and potential gaps.
Adjusting Trade Size: During periods of extremely high RVol, it might be prudent to adjust your position size to account for higher risk.
Using Relative Volume in Morning Session
If the Volume traded in first 15 minute to 30 Minutes is already at 50% or 100% depending upon the ticker, it means that it is going to have very high Volume vs average by end of the day.
This gives me conviction for Long or Short Trades
Remember that RVol is not a standalone indicator; it works best when used in conjunction with other technical and fundamental analysis tools. Additionally, RVol's effectiveness may vary across different markets and trading strategies. Therefore, backtesting and validating the use of RVol in your trading approach is essential.
Lastly, risk management is crucial in trading. While RVol can provide valuable insights, it cannot guarantee profitable trades. Always use appropriate risk management strategies, such as setting stop-loss levels, and avoid overexposing yourself to the market based solely on RVol readings.
Ahsan Tufail Precise MA Crossover Filter for Reliable SignalsIntroduction:
In the ever-evolving world of Forex trading, strategies that provide a competitive edge are highly sought after. The Moving Average (MA) crossover technique is a popular long-term approach, but its vulnerability to false signals can lead to potential losses. To overcome this challenge, we introduce a game-changing MA crossover filter designed to weed out false signals and unlock the full potential of this strategy. In this article, we delve into the mechanics of this filter, providing a comprehensive analysis of its components and how it enhances the accuracy of buy and sell signals.
The Power of the MA Crossover Filter:
The essence of our MA crossover filter lies in the integration of a specialized indicator that operates on a scale of 0 to 100. This ingenious indicator dynamically measures the distance between the middle Bollinger band and either the upper or lower Bollinger band. By analyzing the values of the last 504 candlesticks, it maps the range from 50 to 100 for the largest and smallest distances between the middle and upper Bollinger bands. Similarly, for values ranging from 0 to 50, it measures the distance between the middle and lower Bollinger bands.
Unveiling the Signal Execution Process:
The brilliance of this filter is revealed in its meticulous execution of buy and sell signals, which significantly reduces false crossovers. Let's explore the process step-by-step:
Buy Signal Precision:
To initiate a buy signal, the price must be positioned above the 200-period Simple Moving Average (SMA).
The filter validates the crossover by checking the indicator's value, ensuring it falls below the threshold of 25.
Sell Signal Accuracy:
For a sell signal, the price must be below the 200-period Simple Moving Average (SMA).
The filter confirms the crossover by verifying the indicator's value, which should exceed the threshold of 75.
This selective approach ensures that only high-confidence crossovers are considered, maximizing the potential for profitable trades.
Fine-Tuning the Filter for Optimal Performance:
While the MA crossover filter exhibits its prowess in GBPUSD and EURUSD currency pairs, it may require adjustments for other pairs. Currency pairs possess unique characteristics, and adapting the filter to specific behavior is crucial for its success.
To fine-tune the filter for alternative currency pairs, traders should conduct rigorous backtesting and analyze historical price data. By experimenting with indicator threshold values, traders can calibrate the filter to accurately match the dynamics of the target currency pair. This iterative process allows for customization, ultimately resulting in a finely-tuned filter that aligns with the unique behavior of the selected market.
Conclusion:
The MA crossover filter represents a paradigm shift in long-term Forex trading strategies. By intelligently filtering false signals, this precision tool unleashes the true potential of the MA crossover technique, elevating its profitability and enhancing overall trading performance. While no strategy guarantees absolute success, incorporating this filter empowers traders with a heightened level of confidence in their buy and sell signals. Embracing the power of this innovative filter can be a transformative step towards mastering Forex profits and staying ahead in the dynamic world of currency trading.
Bullish and Bearish Candlestick Patterns StrategyThe strategy is a combination of candlestick pattern analysis and Fibonacci retracement levels to identify potential buy and sell signals in the market. Here's how the strategy works and how you can trade accordingly:
Candlestick Pattern Analysis:
The strategy looks for specific bullish and bearish candlestick patterns to identify potential trend reversals or continuations. The bullish patterns include:
Bullish Engulfing: This pattern occurs when a bullish candle fully engulfs the previous bearish candle.
Hammer: It is a single candlestick pattern with a small body and a long lower wick, indicating a potential bullish reversal.
Morning Star: This pattern consists of three candles, with the middle one being a small-bodied candle that gaps down and the other two being bullish candles.
The bearish patterns include:
Bearish Engulfing: Similar to the bullish engulfing, but this time, a bearish candle fully engulfs the previous bullish candle.
Shooting Star: A single candlestick pattern with a small body and a long upper wick, suggesting a potential bearish reversal.
Evening Star: This pattern is the opposite of the morning star, with a small-bodied candle that gaps up between two bearish candles.
Fibonacci Retracement Levels:
The strategy uses Fibonacci retracement levels to determine potential support and resistance levels in the market. The main level considered in this strategy is the Fibonacci 0.5 level, which is the midpoint of the previous swing move.
Trading Accordingly:
To trade using this strategy, follow these steps:
a. Observe the Chart: Apply the indicator to your preferred chart, and observe the candlestick patterns and the plotted support, resistance, and Fibonacci 0.5 levels.
b. Buy Signal: A buy signal is generated when any of the bullish candlestick patterns (Bullish Engulfing, Hammer, Morning Star) occur, and the low price of the current candle is above or equal to the Fibonacci 0.5 level. This suggests a potential bullish reversal or continuation of an existing uptrend.
c. Sell Signal: A sell signal is generated when any of the bearish candlestick patterns (Bearish Engulfing, Shooting Star, Evening Star) occur, and the high price of the current candle is below or equal to the Fibonacci 0.5 level. This indicates a potential bearish reversal or continuation of an existing downtrend.
d. Risk Management: Place stop-loss orders to protect your position in case the market moves against your trade. Consider setting the stop-loss below the recent swing low for buy trades and above the recent swing high for sell trades.
e. Take Profit: Set a target for taking profits based on your risk-reward ratio. You can use the recent swing high for buy trades as a potential target and the recent swing low for sell trades.
f. Filter Signals: Keep in mind that not all signals will result in profitable trades. It's essential to filter signals with other technical analysis tools and consider the overall market context.
Remember that no trading strategy guarantees profits, and trading always carries inherent risks. It's crucial to practice proper risk management, use appropriate position sizing, and test the strategy thoroughly in a demo environment before applying it to live trading. Additionally, consider combining this strategy with other indicators or analysis methods to make more informed .
Murrey Math Horizontal/Diagonal + Subharmonics 0 - 12 [All-Time]The Murrey Math lines are created by dividing the range between the high and low of the monthly timeframe prices into equal parts based on the division factor from 2 to 12.
No matter which timeframe you will use, because the calculations based on the most high and low price values.
Better to use > monthly timeframe for faster calculations.
These lines serve as potential support and resistance levels.
The midlines are dashed lines representing the midpoint between two consecutive Murrey Math lines.
The diagonal lines can be enabled to show two different types or both types. These lines connect the highs or lows of the price bars in a diagonal manner.
The subharmonic lines represent smaller divisions within each Murrey Math range. They can be customized to show only strong subharmonics or all subharmonics. Subharmonics are calculated based on the division factor and can provide additional support and resistance levels within the Murrey Math framework.
This script helps visualize the Murrey Math levels and their associated lines on a trading chart, aiding traders in identifying potential price levels for decision-making.
The most strong levels which I tested were: 2, 4, 6, 8, 12.
I was inspired by Gann's work and i tried to implement this indicator.
It's the most accurate version of Murrey Math calculations, you can set the value of 8 which Gann was used but I did up to 12 because of my experiments and I would recommend you to use the value of 12.
This indicator can be used for all types of markets.
Also note, that the strong levels described above is tested on division by 12 setting.
Anyway, you can use the divison of 8 and use the standart strong s/r levels.
(for more information search for Gann 2.0 support resistance on the internet).
Also note: this information is not a financial advice, just my opinion to the indicator I implemented. Please use this indicator wisely and focus to save your money, not earn.
I wish you profitable trades, stick to your risk/money management and the key entry points!
Variety Step RSI w/ Dynamic Zones [Loxx]Variety Step RSI w/ Dynamic Zones is a stepped RSI calculation with Discontinued Signal Lines. This indicator includes 7 types of RSI to choose from. The addition of the Discontinued Signal Lines allows this indicator to better identify momentum shifts in price so traders have better defined long/short signals.
Enhanced Moving Average Calculation with Stepped Moving Average and the Advantages over Regular RSI
Technical analysis plays a crucial role in understanding and predicting market trends. One popular indicator used by traders and analysts is the Relative Strength Index (RSI). However, an enhanced approach called Stepped Moving Average, in combination with the Slow RSI function, offers several advantages over regular RSI calculations.
█ Stepped Moving Average and Moving Averages:
The Stepped Moving Average function serves as a crucial component in the calculation of moving averages. Moving averages smooth out price data over a specific period to identify trends and potential trading signals. By employing the Stepped Moving Average function, traders can enhance the accuracy of moving averages and make more informed decisions.
Stepped Moving Average takes two parameters:
The current RSI value and a size parameter. It computes the next step in the moving average calculation by determining the upper and lower bounds of the moving average range. It accomplishes this by adjusting the values of smax and smin based on the given RSI and size.
Furthermore, Stepped Moving Average introduces the concept of a trend variable. By comparing the previous trend value with the current RSI and the previous upper and lower bounds, it updates the trend accordingly. This feature enables traders to identify potential shifts in market sentiment and make timely adjustments to their trading strategies.
█ Advantages over Regular RSI:
Enhanced Range Boundaries:
The inclusion of size parameters in Stepped Moving Average allows for more precise determination of the upper and lower bounds of the moving average range. This feature provides traders with a clearer understanding of the potential price levels that can influence market behavior. Consequently, it aids in setting more effective entry and exit points for trades.
Improved Trend Identification:
The trend variable in Stepped Moving Average helps traders identify changes in market trends more accurately. By considering the previous trend value and comparing it to the current RSI and previous bounds, Stepped Moving Average captures trend reversals with greater precision. This capability empowers traders to respond swiftly to market shifts and potentially capture more profitable trading opportunities.
Smoother Moving Averages:
Stepped Moving Average's ability to adjust the moving average range bounds based on trend changes and size parameters results in smoother moving averages. Regular RSI calculations may produce jagged or erratic results due to abrupt market movements. Stepped Moving Average mitigates this issue by dynamically adapting the range boundaries, thereby providing traders with more reliable and consistent moving average signals.
Complementary Functionality with Slow RSI:
Stepped Moving Average and Slow RSI function in harmony to provide a comprehensive trading analysis toolkit. While Stepped Moving Average refines the moving average calculation process, Slow RSI offers a more accurate representation of market strength. The combination of these two functions facilitates a deeper understanding of market dynamics and assists traders in making better-informed decisions.
What is a Discontinued Signal Line (DSL)?
Many indicators employ signal lines to more easily identify trends or desired states of the indicator. The concept of a signal line is straightforward: by comparing a value to its smoothed, slightly lagging state, one can determine the current momentum or state.
The Discontinued Signal Line builds on this fundamental idea by extending it: rather than having a single signal line, multiple lines are used based on the indicator's current value.
The "signal" line is calculated as follows:
When a specific level is crossed in the desired direction, the EMA of that value is calculated for the intended signal line.
When that level is crossed in the opposite direction, the previous "signal" line value is "inherited," becoming a sort of level.
This approach combines signal lines and levels, aiming to integrate the advantages of both methods.
In essence, DSL enhances the signal line concept by inheriting the previous signal line's value and converting it into a level.
Extras
-Alerts
-Signals
Related indicators:
Step RSI
Fair Value Gap [MyTradingCoder]Introducing the "Fair Value Gap" indicator, a powerful tool designed to identify and visualize areas of potential market gaps where leftover orders may reside. This indicator utilizes price action analysis, specifically focusing on fair value gaps that occur between the current candle and the candle two bars prior.
The Fair Value Gap indicator draws customizable zones on the chart, representing bullish or bearish areas with distinct green or red colors. These zones highlight market gaps where price action has left a void, indicating the possibility of significant order activity in that region.
Key Features:
Liquidity Zone: Utilize the Fair Value Gap zones as areas of liquidity, offering potential entry points for trades.
Support/Resistance Indicator: Configure the indicator to extend beyond the initial breakout or gap fill, allowing it to act as a support/resistance zone indicator.
The Fair Value Gap indicator has several adjustable settings to customize its behavior according to your trading preferences. These settings include:
Invalidation Outcome: Choose how the fair value gap zone is treated when it becomes invalidated. Options include:
-Stop Updating: Maintain the gap zone in its current state without further updates.
-Delete: Completely remove the fair value gap from the screen.
Invalidation Method: Determine the logic that invalidates the fair value gap. Options include:
-Gap Fill: Visually shrink the zone as price action closes the gap until it is completely filled, at which point it gets deleted entirely.
-Number Of Breakouts: Invalidate the gap after a certain number of breaks or flips over the zone's border. Configure the allowed number of breakouts with the "Breakouts Until Invalidation" input.
-Age Of Gap: Invalidate the gap after a specified number of bars have passed since its creation. Set the threshold with the "Bars Until Invalidation" input.
Color Customization: Customize the appearance of the fair value gap zones with various color inputs, including bullish and bearish border colors, middle line color (shared for both bullish and bearish gaps), bullish and bearish background colors.
Line Width: Adjust the width of the border lines and the center line within the fair value gap zone for better visual clarity.
Please note that the Fair Value Gap indicator is a valuable tool but should be used alongside other technical analysis methods to make well-informed trading decisions. It does not guarantee profitable trades but aims to provide insights into potential areas of interest.
Discover opportunities within market gaps and leverage the power of leftover orders with the Fair Value Gap indicator—an indispensable asset in your trading toolkit.
Multi-Band Breakout IndicatorThe Multi-Band Breakout Indicator was created to help identify potential breakout opportunities in the market. It combines multiple bands (ATR-Based and Donchian) and moving averages to provide valuable insights into the underlying trend and potential breakouts. By understanding the calculations, interpretation, parameter adjustments, potential applications, and limitations of the indicator, traders can effectively incorporate it into their trading strategy.
Calculation:
The indicator utilizes several calculations to plot the bands and moving averages. The length parameter determines the period used for the Average True Range (ATR), which measures volatility. A higher length captures a longer-term view of price movement, while a lower length focuses on shorter-term volatility. The multiplier parameter adjusts the distance of the upper and lower bands from the ATR. A higher multiplier expands the bands, accommodating greater price volatility, while a lower multiplier tightens the bands, reflecting lower volatility. The MA Length parameter determines the period for the moving averages used to calculate the trend and trend moving average. A higher MA Length creates a smoother trend line, filtering out shorter-term fluctuations, while a lower MA Length provides a more sensitive trend line.
The Donchian calculations in the Multi-Band Breakout Indicator play a significant role in identifying potential breakout opportunities and providing additional confirmation for trading signals. In this indicator, the Donchian calculations are applied to the trend line, which represents the average of the upper and lower bands. To calculate the Donchian levels, the indicator uses the Donchian Length parameter, which determines the period over which the highest high and lowest low are calculated. A longer Donchian Length captures a broader price range, while a shorter length focuses on more recent price action. By incorporating the Donchian calculations into the Multi-Band Breakout Indicator, traders gain an additional layer of confirmation for breakout signals.
Interpretation:
The Multi-Band Breakout Indicator offers valuable interpretation for traders. The upper and lower bands represent dynamic levels of resistance and support, respectively. These bands reflect the potential price range within which the asset is expected to trade. The trend line is the average of these bands and provides a central reference point for the overall trend. When the price moves above the upper band, it suggests a potential overbought condition and a higher probability of a pullback. Conversely, when the price falls below the lower band, it indicates a potential oversold condition and an increased likelihood of a bounce. The trend moving average further smooths the trend line, making it easier to identify the prevailing direction.
The crossover of the trend line (representing the average of the upper and lower bands) and the trend moving average holds a significant benefit for traders. This crossover serves as a powerful signal for potential trend changes and breakout opportunities in the market. When the trend line crosses above the trend moving average, it suggests a shift in momentum towards the upside, indicating a potential bullish trend. This provides traders with an early indication of a possible upward movement in prices. Conversely, when the trend line crosses below the trend moving average, it indicates a shift in momentum towards the downside, signaling a potential bearish trend. This crossover acts as an early warning for potential downward price movement. By identifying these crossovers, traders can capture the initial stages of a new trend, enabling them to enter trades at favorable entry points and potentially maximize their profit potential.
Breakout Signals:
For bullish breakouts, the indicator looks for a bullish crossover between the trend line and the trend moving average. This crossover suggests a shift in momentum towards the upside. Additionally, it checks if the current price has broken above the upper band and the previous Donchian high. This confirms that the price is surpassing a previous resistance level, indicating further upward movement.
For bearish breakouts, the indicator looks for a bearish crossunder between the trend line and the trend moving average. This crossunder indicates a shift in momentum towards the downside. It also checks if the current price has broken below the lower band and the previous Donchian low. This confirms that the price is breaking through a previous support level, signaling potential downward movement.
When a bullish or bearish breakout is detected, it suggests a potential trading opportunity. Traders may consider initiating positions in the direction of the breakout, anticipating further price movement in that direction. However, it's important to remember that breakouts alone do not guarantee a successful trade. Other factors, such as market conditions, volume, and confirmation from additional indicators, should be taken into account. Risk management techniques should also be implemented to manage potential losses.
Coloration:
The coloration in the Multi-Band Breakout Indicator is used to visually represent different aspects of the indicator and provide valuable insights to traders. Let's break down the coloration components:
-- Trend/Basis Color : The tColor variable determines the color of the bars based on the relationship between the trend line (trend) and the closing price (close), as well as the relationship between the trend line and the trend moving average (trendMA). If the trend line is above the closing price and the trend moving average is also above the closing price, the bars are colored fuchsia, indicating a potential bullish trend. If the trend line is below the closing price and the trend moving average is also below the closing price, the bars are colored lime, indicating a potential bearish trend. If neither of these conditions is met, the bars are colored yellow, representing a neutral or indecisive market condition.
-- Moving Average Color : The maColor variable determines the color of the filled area between the trend line and the trend moving average. If the trend line is above the trend moving average, the area is filled with a lime color with 70% opacity, indicating a potential bullish trend. Conversely, if the trend line is below the trend moving average, the area is filled with a fuchsia color with 70% opacity, indicating a potential bearish trend. This coloration helps traders visually identify the relationship between the trend line and the trend moving average.
-- highColor and lowColor : The highColor and lowColor variables determine the colors of the high Donchian band (hhigh) and the low Donchian band (llow), respectively. These bands represent dynamic levels of resistance and support. If the highest point in the previous Donchian period (hhigh) is above the upper band, the highColor is set to olive with 90% opacity, indicating a potential resistance level. On the other hand, if the lowest point in the previous Donchian period (llow) is below the lower band, the lowColor is set to red with 90% opacity, suggesting a potential support level. These colorations help traders quickly identify important price levels and assess their significance in relation to the bands.
By incorporating coloration, the Multi-Band Breakout Indicator provides visual cues to traders, making it easier to interpret the relationships between various components and assisting in identifying potential trend changes and breakout opportunities. Traders can use these color cues to quickly assess the prevailing market conditions and make informed trading decisions.
Adjusting Parameters:
The Multi-Band Breakout Indicator offers flexibility through parameter adjustments. Traders can customize the indicator based on their preferences and trading style. The length parameter controls the sensitivity to price changes, with higher values capturing longer-term trends, while lower values focus on shorter-term price movements. By adjusting the parameters, such as the ATR length, multiplier, Donchian length, and MA length, traders can customize the indicator to suit different timeframes and trading strategies. For shorter timeframes, smaller values for these parameters may be more suitable, while longer timeframes may require larger values.
Potential Applications:
The Multi-Band Breakout Indicator can be applied in various trading strategies. It helps identify potential breakout opportunities, allowing traders to enter trades in the direction of the breakout. Traders can use the indicator to initiate trades when the price moves above the upper band or below the lower band, confirming a potential breakout and providing a signal to enter a trade. Additionally, the indicator can be combined with other technical analysis tools, such as support and resistance levels, candlestick patterns, or trend indicators, to increase the probability of successful trades. By incorporating the Multi-Band Breakout Indicator into their trading approach, traders can gain a better understanding of market trends and capture potential profit opportunities.
Limitations:
While the Multi-Band Breakout Indicator is a useful tool, it has some limitations that traders should consider. The indicator performs best in trending markets where price movements are relatively strong and sustained. During ranging or choppy market conditions, the indicator may generate false signals, leading to potential losses. It is crucial to use the indicator in conjunction with other analysis techniques and risk management strategies to enhance its effectiveness. Additionally, traders should consider external factors such as market news, economic events, and overall market sentiment when interpreting the signals generated by the indicator.
By combining multiple bands and moving averages, this indicator offers valuable insights into the underlying trend and helps traders make informed trading decisions. With customization options and careful interpretation, this indicator can be a valuable addition to any trader's toolkit, assisting in identifying potential breakouts, capturing profitable trades, and enhancing overall trading performance.
Moving Average With Risk:Reward**Title: A Detailed Guide to Using the Moving Average With Risk:Reward Indicator**
The dynamic world of financial markets offers a myriad of opportunities for market participants to make profitable trades. However, to unlock these opportunities, traders require reliable tools to guide their decisions, tools such as technical indicators. One such indicator is the 'Moving Average With Risk:Reward' Indicator, a versatile tool that combines the simple moving average (SMA), exponential moving average (EMA), Average True Range (ATR) indicator, and automated entry, stop-loss, and take-profit markers to provide a comprehensive analysis of market trends. This article aims to detail the use and interpretation of this indicator.
**Understanding the Building Blocks**
1. **Moving Averages (SMA & EMA):**
Moving averages are arguably some of the most common tools used by traders worldwide. They help smooth out price data to form a trend following indicator. Our custom indicator utilizes both a 21-period SMA, which averages the closing prices of the past 21 periods, and a 9-period EMA, which gives more weight to recent prices. The difference in sensitivity between these two moving averages forms the basis of our trade signals.
2. **Average True Range (ATR):**
The ATR is an essential component of our indicator. It measures market volatility by decomposing the entire range of an asset price for that period. It plays a critical role in determining the stop loss and take profit levels in our indicator, as detailed later.
**How the Indicator Works**
Our custom indicator works by generating buy or sell signals based on crossover and crossunder events between the SMA and EMA. A crossover occurs when the EMA (more sensitive to recent prices) crosses above the SMA, indicating upward momentum and hence triggering a buy signal. Conversely, a crossunder, where the EMA moves below the SMA, indicates increasing downward momentum and generates a sell signal.
Upon the generation of a signal, the indicator draws lines on the chart to represent the entry point, stop loss, and take profit levels. The user has the freedom to adjust the color of these lines for visual clarity. The script will also delete previous lines whenever a new signal is generated to avoid clutter and confusion.
**Determining the Stop Loss and Take Profit Levels**
Our custom indicator uses the ATR and a predetermined multiplier to calculate stop loss and take profit levels, thus incorporating market volatility into these critical decisions. The user can input their preferred multiplier for both stop loss and take profit.
Stop Loss (SL): SL is set at a level that is the ATR value multiplied by the stop-loss multiplier subtracted from (for a long position) or added to (for a short position) the closing price.
Take Profit (TP): Conversely, TP is set at a level that is the ATR value multiplied by the take-profit multiplier added to (for a long position) or subtracted from (for a short position) the closing price.
These SL and TP levels get plotted as horizontal lines on the chart, extending to the right. Labels are also placed to easily identify these levels.
**Making the Most of the Indicator**
A significant advantage of this indicator lies in its simplicity and clarity. Traders can clearly see the entry point, stop loss, and take profit levels on the chart. They can modify these levels based on their risk tolerance or trading strategy.
The combination of SMA and EMA offers the best of both worlds, with SMA providing a lagging, stable trend indication and EMA offering a more responsive indication to recent price changes. The indicator's use of ATR for SL and TP settings also ensures that these levels adapt to changing market volatility.
It is essential to remember that while this indicator can be an invaluable tool in a trader's arsenal, it is not infallible. Markets can often behave unpredictably, and even the most robust and reliable indicators can occasionally generate false signals. Therefore, traders should always employ sound money management strategies and use this indicator in conjunction with other technical analysis tools and fundamental analysis to confirm signals and make informed trading decisions.
In conclusion, the Moving Average With Risk:Reward indicator provides a comprehensive and versatile tool that can significantly enhance trading strategies. Its integration of trend-following moving averages, volatility-adjusted stop loss and take profit levels, and clear chart visualizations make it a potent tool in the financial markets. By fully understanding how to interpret and utilize this indicator, traders can navigate the markets with increased confidence and precision.
Developing Market Profile / TPO [Honestcowboy]The Developing Market Profile Indicator aims to broaden the horizon of Market Profile / TPO research and trading. While standard Market Profiles aim is to show where PRICE is in relation to TIME on a previous session (usually a day). Developing Market Profile will change bar by bar and display PRICE in relation to TIME for a user specified number of past bars.
What is a market profile?
"Market Profile is an intra-day charting technique (price vertical, time/activity horizontal) devised by J. Peter Steidlmayer. Steidlmayer was seeking a way to determine and to evaluate market value as it developed in the day time frame. The concept was to display price on a vertical axis against time on the horizontal, and the ensuing graphic generally is a bell shape--fatter at the middle prices, with activity trailing off and volume diminished at the extreme higher and lower prices."
For education on market profiles I recommend you search the net and study some profitable traders who use it.
Key Differences
Does not have a value area but distinguishes each column in relation to the biggest column in percentage terms.
Updates bar by bar
Does not take sessions into account
Shows historical values for each bar
While there is an entire education system build around Market Profiles they usually focus on a daily profile and in some cases how the value area develops during the day (there are indicators showing the developing value area).
The idea of trading based on a developing value area is what inspired me to build the Developing Market Profile.
🟦 CALCULATION
Think of this Developing Market Profile the same way as you would think of a moving average. On each bar it will lookback 200 bars (or as user specified) and calculate a Market Profile from those bars (range).
🔹Market Profile gets calculated using these steps:
Get the highest high and lowest low of the price range.
Separate that range into user specified amount of price zones (all spaced evenly)
Loop through the ranges bars and on each bar check in which price zones price was, then add +1 to the zones price was in (we do this using the OccurenceArray)
After it looped through all bars in the range it will draw columns for each price zone (using boxes) and make them as wide as the OccurenceArray dictates in number of bars
🔹Coloring each column:
The script will find the biggest column in the Profile and use that as a reference for all other columns. It will then decide for each column individually how big it is in % compared to the biggest column. It will use that percentage to decide which color to give it, top 20% will be red, top 40% purple, top 60% blue, top 80% green and all the rest yellow. The user is able to adjust these numbers for further customisation.
The historical display of the profiles uses plotchar() and will not only use the color of the column at that time but the % rating will also decide transparancy for further detail when analysing how the profiles developed over time. Each of those historical profiles is calculated using its own 200 past bars. This makes the script very heavy and that is why it includes optimisation settings, more info below.
🟦 USAGE
My general idea of the markets is that they are ever changing and that in studying that changing behaviour a good trader is able to distinguish new behaviour from old behaviour and adapt his approach before losing traders "weak hands" do.
A Market Profile can visually show a trader what kind of market environment we currently are in. In training this visual feedback helps traders remember past market environments and how the market behaved during these times.
Use the history shown using plotchars in colors to get an idea of how the Market Profile looked at each bar of the chart.
This history will help in studying how price moves at different stages of the Market Profile development.
I'm in no way an expert in trading Market Profiles so take this information with a grain of salt. Below an idea of how I would trade using this indicator:
🟦 SETTINGS
🔹MARKET PROFILING
Lookback: The amount of bars the Market Profile will look in the past to calculate where price has been the most in that range
Resolution: This is the amount of columns the Market Profile will have. These columns are calculated using the highest and lowest point price has been for the lookback period
Resolution is limited to a maximum of 32 because of pinescript plotting limits (64). Each plotchar() because of using variable colors takes up 2 of these slots
🔹VISUAL SETTINGS
Profile Distance From Chart: The amount of bars the market profile will be offset from the current bar
Border width (MP): The line thickness of the Market Profile column borders
Character: This is the character the history will use to show past profiles, default is a square.
Color theme: You can pick 5 colors from biggest column of the Profile to smallest column of the profile.
Numbers: these are for % to decide column color. So on default top 20% will be red, top 40% purple... Always use these in descending order
Show Market Profile: This setting will enable/disable the current Market Profile (columns on right side of current bar)
Show Profile History: This setting will enable/disable the Profile History which are the colored characters you see on each bar
🔹OPTIMISATION AND DEBUGGING
Calculate from here: The Market Profile will only start to calculate bar by bar from this point. Setting is needed to optimise loading time and quite frankly without it the script would probably exceed tradingview loading time limits.
Min Size: This setting is there to avoid visual bugs in the script. Scaling the chart there can be issues where the Market Profile extends all the way to 0. To avoid this use a minimum size bigger than the bugged bottom box
Advanced Exponential Smoothing Indicator (AESI) [AstrideUnicorn]The Advanced Exponential Smoothing Indicator (AESI) provides a smoothed representation of price data using the exponential smoothing technique. It helps traders identify the overall trend and potential reversal points in the market.
SETTINGS
Length: The number of periods used for the calculation of the exponential moving average (EMA). Higher values provide a smoother result but may lag behind price movements.
Alpha: The smoothing factor that determines the weight of the recent price data in the smoothing calculation. Higher values give more weight to recent data, resulting in a more responsive indicator.
Cloud Mode: Determines whether to display a cloud between the AESI line and the EMA line. When enabled, the cloud represents bullish (green) and bearish (red) market conditions.
HOW TO USE
The AESI indicator consists of a single line that represents the advanced exponential smoothing of the price data. It aims to provide a smoother version of the price series, reducing noise and revealing the underlying trend.
Bullish Condition: When the AESI line is above the EMA line, it indicates a bullish market condition. Traders may consider looking for buying opportunities or holding onto existing long positions.
Bearish Condition: When the AESI line is below the EMA line, it suggests a bearish market condition. Traders may consider looking for selling opportunities or holding onto existing short positions.
Optional Cloud Mode:
Enabling the cloud mode allows you to visualize bullish and bearish market conditions more clearly. The cloud appears between the AESI line and the EMA line, providing a visual representation of the prevailing market sentiment.
Bullish Cloud: When the AESI line is above the EMA line, the cloud is green, indicating a potential bullish market condition.
Bearish Cloud: When the AESI line is below the EMA line, the cloud is red, indicating a potential bearish market condition.
Note: The AESI indicator is most effective when used in conjunction with other technical analysis tools and indicators to confirm trading signals and make informed trading decisions.
Adjusting the Parameters:
You can adjust the Length and Alpha parameters to find the best ones for different timeframes and market conditions. Experimenting with different parameter values can help you find the optimal settings for your trading strategy.
It is recommended to backtest the AESI indicator on historical price data and evaluate its performance before using it in live trading. Remember that no indicator can guarantee profitable trades, and it is important to use risk management techniques and exercise caution when making trading decisions.
FalconRed 5 EMA Indicator (Powerofstocks)Improved version:
This indicator is based on Subhashish Pani's "Power of Stocks" 5 EMA Strategy, which aims to identify potential buying and selling opportunities in the market. The indicator plots the 5 EMA (Exponential Moving Average) and generates Buy/Sell signals with corresponding Target and Stoploss levels.
Subhashish Pani's 5 EMA Strategy is a straightforward approach. For intraday trading, a 5-minute timeframe is recommended for selling. In this strategy, you can choose to sell futures, sell calls, or buy puts as part of your selling strategy. The goal is to capture market tops by selling at the peak, anticipating a reversal for profitable trades. Although this strategy may result in frequent stop losses, they are typically small, while the minimum target should be at least three times the risk taken. By staying aligned with the trend, significant profits can be achieved. Subhashish Pani claims that this strategy has a 60% success rate.
Strategy for Selling (Short Future/Call/Stock or Buy Put):
1. When a candle completely closes above the 5 EMA (with no part of the candle touching the 5 EMA), it is considered an Alert Candle.
2. If the next candle is also entirely above the 5 EMA and does not break the low of the previous Alert Candle, ignore the previous Alert Candle and consider the new candle as the new Alert Candle.
3. Continue shifting the Alert Candle in this manner. However, when the next candle breaks the low of the Alert Candle, take a short trade (e.g., short futures, calls, stocks, or buy puts).
4. Set the stop loss above the high of the Alert Candle, and the minimum target should be 1:3 (at least three times the stop loss).
Strategy for Buying (Buy Future/Call/Stock or Sell Put):
1. When a candle completely closes below the 5 EMA (with no part of the candle touching the 5 EMA), it is considered an Alert Candle.
2. If the next candle is also entirely below the 5 EMA and does not break the high of the previous Alert Candle, ignore the previous Alert Candle and consider the new candle as the new Alert Candle.
3. Continue shifting the Alert Candle in this manner. However, when the next candle breaks the high of the Alert Candle, take a long trade (e.g., buy futures, calls, stocks, or sell puts).
4. Set the stop loss below the low of the Alert Candle, and the minimum target should be 1:3 (at least three times the stop loss).
Buy/Sell with Additional Conditions:
An additional condition is added to the buying/selling strategy:
1. Check if the closing price of the current candle is lower than the closing price of the Alert Candle for selling, or higher than the closing price of the Alert Candle for buying.
- This condition aims to filter out false moves, potentially preventing entering trades based on temporary fluctuations. However, it may cause you to miss out on significant moves, as you will enter trades after the candle closes, rather than at the breakout point.
Note: According to Subhashish Pani, the recommended timeframe for intraday buying is 15 minutes. However, this strategy can also be applied to positional/swing trading. If used on a monthly timeframe, it can be beneficial for long-term investing as well. The rules remain the same for all types of trades and timeframes.
If you need a deeper understanding of this strategy, you can search for "Subhashish Pani's (Power of Stocks) 5 EMA Strategy" on YouTube for further explanations.
Note: This strategy is not limited to intraday trading and can be applied to positional/swing
QFL Screener [ ZCrypto ]The QFL Screener is a robust tool inspired by Quickfingersluc's trading strategy.
Known as the Base Strategy or Mean Reversals, QFL focuses on identifying moments of panic selling and buying , presenting opportunities to enter trades at deeply discounted prices.
The QFL Screener is designed to enhance your trading efficiency by simultaneously scanning 40 symbols.
You have the flexibility to enable or disable specific symbols from the screening process, allowing you to tailor the screener to your preferred markets and instruments.
The Screener has a built-in alerts system . As soon as the QFL conditions align for any of the scanned symbols, you'll receive instant notifications, empowering you to take prompt action and seize potential trading opportunities.
In addition, I've incorporated a visual element to complement the alerts. Once the conditions are true, a green arrow shape will appear directly on the chart, providing a clear and intuitive signal of the QFL opportunity.
To provide a clear overview, our screener presents a comprehensive table that highlights when the QFL condition becomes true for each symbol. This table acts as a visual guide, enabling you to monitor the status of multiple symbols at a glance, streamlining your trading decision-making process.
With the QFL Screener, you gain an edge in identifying profitable trade setups based on Quickfingersluc's renowned approach. Experience the convenience of simultaneous screening, real-time alerts, and an intuitive table display, all in one user-friendly tool.
Trailing Stop with RSI - Momentum-Based StrategyTrailing Stop with RSI - Momentum-Based Strategy
Description:
The Trailing Stop with RSI strategy combines momentum analysis and trailing stop functionality to help traders identify potential entry and exit points in their trading decisions. This strategy is suitable for various markets and timeframes.
Key Features:
Momentum Analysis: The strategy incorporates momentum indicators to identify potential buying and selling opportunities based on momentum shifts in the price.
Trailing Stop Functionality: The strategy utilizes a trailing stop to protect profits and dynamically adjust the stop loss level as the trade moves in the desired direction.
RSI Confirmation: The Relative Strength Index (RSI) is included to provide additional confirmation for trade entries by considering overbought and oversold conditions.
How to Use:
Entry Conditions: Long positions are triggered when positive momentum is detected, and the RSI confirms an oversold condition. Short positions are triggered when negative momentum is detected, and the RSI confirms an overbought condition.
Trailing Stop Activation: Once a position is opened, the trailing stop is activated when the specified profit level (as a percentage) is reached.
Trailing Stop Level: The trailing stop maintains a stop loss level at a specified distance (as a percentage) from the highest profit achieved since opening the position.
Exit Conditions: The trailing stop will trigger an exit and close all positions when the trailing stop level is breached.
Markets and Conditions:
This strategy can be applied to various markets, including stocks, forex, cryptocurrencies, and commodities. It can be used in trending and ranging market conditions, making it versatile for different market environments.
Important Considerations:
Adjust Parameters: Traders can modify the length of the momentum and RSI indicators to suit their preferred timeframe and trading style.
Risk Management: It is recommended to consider appropriate position sizing, risk-to-reward ratios, and overall risk management practices when using this strategy.
Backtesting and Optimization: Traders are encouraged to backtest the strategy on historical data and optimize the parameters to find the best settings for their chosen market and timeframe.
By incorporating momentum analysis, trailing stop functionality, and RSI confirmation, this strategy aims to provide traders with a systematic approach to capturing profitable trades while managing risk effectively.
Dodge Trend [MyTradingCoder]Introducing the "Dodge Trend" indicator, an innovative variant of the Supertrend indicator designed to help traders better avoid fakeouts and maintain positions in established trends.
Like the Supertrend, the Dodge Trend uses Average True Range (ATR) but incorporates a unique adaptive adjustment feature that differentiates it from its counterparts. While the conventional Supertrend rises with the trend and only descends when the price crosses it, the Dodge Trend is designed to 'dodge' potential fakeouts.
This 'dodging' mechanism works by allowing the Dodge Trend to fall slightly during pullbacks, reducing the risk of a premature exit due to a temporary price drop. The recovery rate after the pullback is quicker but is slightly lower than the rate at which a new Dodge Trend high would be established in an uptrend. This unique adjustment feature allows the Dodge Trend to chase price action in an exponential fashion, potentially enabling a quicker exit when the trend shifts.
Key Settings:
Length: Adjust how much price action is taken into consideration for the ATR average. Lower values yield higher responsiveness to recent price action.
Size: Determines the initial deviation of the Dodge Trend when it resets after every flip/break.
Source: Specifies the data point (close, high, open, low, hl2, etc.) used for the Dodge Trend.
Dodge Intensity: Adjusts the intensity of the pullback effect. Higher values result in more intense pullbacks. Range is limited between 0 and 99, with 95 as the recommended default.
Bullish Color Setting: Sets the color for the uptrend Dodge Trend.
Bearish Color Setting: Sets the color for the downtrend Dodge Trend.
Dodge Trend is a powerful tool for traders looking to ride trends and avoid unnecessary exits due to short-term price fluctuations. While it offers a unique feature that may potentially improve trading outcomes, it should be used in conjunction with other indicators and analysis methods for a comprehensive trading strategy. As with all tools, it does not guarantee profitable trades but aims to give traders more actionable and precise information to base their decisions on.
Experience trend-following in a more adaptive and efficient manner with the Dodge Trend indicator, a tool designed to help you 'dodge' false exits and stay in line with the overall trend.
ASG Delta %This utility script provides a convenient way to calculate the percentage gain or drop of a token's price within a user-defined date range. It eliminates the need for manual measurement on individual charts, saving time and effort.
The script is particularly valuable when integrated into a daily token scanning routine for watchlists. By comparing the significant gains or drops among different tokens, traders can identify potential trading opportunities.
Simply select the desired date range, and the script will identify the highest and lowest price points achieved during that period. It then shows a visual representation in the form of a bullish or bearish box, displaying the percentage change (delta %). If the current price falls within the box's upper and lower bounds, additional percentage information can be shown in either the 'normal' or 'reverse' mode.
For instance, if a token experiences a -52.35% drop, enabling the 'Reverse' setting will reveal a potential 109.86% gain (from the low), or a 76.02% gain (from current price) or a potential drop of -16.5% (from current price) etc.. Having these basic statistics available, without having to manually chart them, especially during prolonged bear or bull markets, enables traders to make informed decisions and position themselves for more profitable trades.
I hope you find this script valuable. Your comments and recommendations are welcome as they will help improve the script's functionality further.
D-Bot Alpha RSI Breakout StrategyHello dear Traders,
Here is a simple yet effective strategy to use, for best profit higher time frame, such as daily.
Structure of the code
The code defines inputs for SMA (simple moving average) length, RSI (relative strength index) length, RSI entry level, RSI stop loss level, and RSI take profit level. The default values of these variables can be customized as per the user's preferences.
The script calculates SMA and RSI based on the input parameters and the closing price of the asset.
Trading logic
This strategy allows the placement of a long position when:
The RSI crosses above the RSI entry level and
The close price is above the SMA value.
After entering a long position, it applies a trailing stop mechanism. The stop price is updated to the close price if the close price is lower than the last close price.
The script closes the long position when:
RSI falls below the stop loss level.
RSI reaches or exceeds the take profit level.
If the trailing stop is activated (once RSI reaches or exceeds the take profit level), the closing price falls below the trailing stop level.
Strengths
The strategy includes mechanisms for entering a position, taking profit, and stopping losses, which are fundamental aspects of a trading strategy.
It applies a trailing stop mechanism that allows to capture further gains if the price keeps increasing while protecting from losses if the price starts to decrease.
Weaknesses
This strategy only contemplates long positions. Depending on the market situation, the strategy may miss opportunities for short selling when the market is on a downward trend.
The choice of the fixed RSI entry, stop loss, and take profit levels may not be ideal for all market conditions or assets. It might benefit from a more adaptive mechanism that adjusts these levels according to market volatility or trend.
The strategy doesn't factor in trading costs (such as spread or commission), which could have a significant impact on the net profit, especially if the user is trading with a high frequency or in a low liquidity market.
How to trade with this strategy
Given these parameters and the strategy outlined by the code, the trader would enter a long position when the RSI crosses above the RSI entry level (default 34) and the closing price is above the SMA value (SMA calculated with default period of 200). The trader would exit the position when either the RSI falls below the RSI stop loss level (default 30), or RSI rises above the RSI take profit level (default 50), or when the trailing stop is hit.
Remember "The strategies I have prepared are entirely for educational purposes and should not be considered as investment advice. Support your trades using other tools. Wishing everyone profitable trades..."
Mechanical Trading StrategyThe "Mechanical Trading Strategy" is a simple and systematic approach to trading that aims to capture short-term price movements in the financial markets. This strategy focuses on executing trades based on specific conditions and predetermined profit targets and stop loss levels.
Key Features:
Profit Target: The strategy allows you to set a profit target as a percentage of the entry price. This target represents the desired level of profit for each trade.
Stop Loss: The strategy incorporates a stop loss level as a percentage of the entry price. This level represents the maximum acceptable loss for each trade, helping to manage risk.
Entry Condition: The strategy triggers trades at a specific time. In this case, the condition for entering a trade is based on the hour of the candle being 16 (4:00 PM). This time-based entry condition provides a systematic approach to executing trades.
Position Sizing: The strategy determines the position size based on a fixed percentage of the available equity. This approach ensures consistent risk management and allows for potential portfolio diversification.
Execution:
When the entry condition is met, signified by the hour being 16, the strategy initiates a long position using the strategy.entry function. It sets the exit conditions using the strategy.exit function, with a limit order for the take profit level and a stop order for the stop loss level.
Take Profit and Stop Loss:
The take profit level is calculated by adding a percentage of the entry price to the entry price itself. This represents the profit target for the trade. Conversely, the stop loss level is calculated by subtracting a percentage of the entry price from the entry price. This level represents the maximum acceptable loss for the trade.
By using this mechanical trading strategy, traders can establish a disciplined and systematic approach to their trading decisions. The predefined profit target and stop loss levels provide clear exit rules, helping to manage risk and potentially maximize returns. However, it is important to note that no trading strategy is guaranteed to be profitable, and careful analysis and monitoring of market conditions are always recommended.
Banded Chikou Breakout — Quantifying Ichimoku MomentumTitle: Banded Chikou Breakout — Quantifying Ichimoku Momentum
Overview:
Banded Chikou Breakout (BCB) is a unique, algorithmic script designed to augment the capabilities of traders seeking substantial breakout opportunities. Constructed on the robust principles of the Ichimoku trading strategy, BCB is designed to quantify and filter the Chikou Span's significant breakouts above or below the price action. This script does not aim to replace the Ichimoku system; instead, it enhances it, providing an optimized tool for momentum trading.
Rationale:
Ichimoku traders often scrutinize the Chikou Span's position relative to price action to identify market trends. However, determining whether the Chikou Span is above or below due to a genuine trend or mere market noise can be challenging in choppy markets. BCB resolves this predicament by offering a unique way to interpret the Chikou Span's movement. It does so by quantifying the Chikou Span's momentum and utilizing Bollinger Bands to determine its significance. By effectively differentiating substantial movements from the insignificant, BCB can help traders better navigate the market and increase their potential for profitable trades.
How it Works:
BCB combines three key elements: a Momentum Script (simulating Chikou Span), a Bollinger Band Script, and a Timeframe Switcher, all working together to provide a refined trading perspective.
Momentum Script: Calculates the price difference between the current price and the price 'n' periods ago, transforming the Chikou Span into a quantifiable momentum value that signifies the strength and speed of a market move.
Bollinger Band Script: Computes a Simple Moving Average (SMA) around the momentum, plotting two 'bands' at a specified standard deviation from this SMA. This functionality allows traders to discern when the Chikou Span's momentum is abnormally high or low, signifying a potential significant breakout.
Timeframe Switcher: This feature lets traders apply the BCB script to a different timeframe from the one they are currently viewing. This capability can help traders identify higher timeframe breakouts and trade them with precision on the lower timeframe.
How to Use:
BCB is designed to complement the Ichimoku strategy for effective breakout identification.
Add the BCB script to your trading chart. It plots the momentum (yellow line) and Bollinger Bands (green lines) with the area between the bands shaded blue.
Utilize the Ichimoku strategy to identify larger and smaller timeframe trends.
Optional: Leverage the timeframe switcher to synchronize your trades with higher timeframe trends while operating on lower timeframes.
If the BCB momentum line crosses the upper Bollinger Band while the Ichimoku indicates a bullish trend, it signifies a potential significant upward breakout. Similarly, a cross below the lower band during a bearish trend could denote a significant downward breakout.
Remember, without the context provided by the Ichimoku system's trend analysis, BCB can yield false breakouts. It is, therefore, crucial to use these tools in tandem. I like to check for an Ichimoku trend on the 4H and 1H charts, and then use BCB on charts <60 minutes to capture trends with precision.
TrendingNowTrendingNow Indicator - An Experimental Study
Introduction:
The TrendingNow indicator is an experimental study designed to identify trending market conditions and potential trading opportunities. It combines various technical analysis tools and parameters to provide insights into trend direction, momentum, volume, and price reversals.
Methodology:
The TrendingNow indicator is calculated based on the following parameters and calculations:
Moving Average: A simple moving average (SMA) is calculated using the specified length parameter. It helps smooth out price fluctuations and identify the overall trend direction.
Upper and Lower Bands: The upper and lower bands are derived from the moving average by adding and subtracting a deviation calculated using the multiplier parameter. These bands provide dynamic levels for potential trend reversals.
Price Reversals: The indicator detects price reversals by identifying when the price crosses above or below the upper or lower bands. These reversals suggest potential entry or exit points in the market.
Trend Confirmation: The indicator uses a moving average of the closing prices over the confirmation length parameter to confirm the overall trend direction. It helps filter out false signals and validates the presence of a trend.
Momentum Oscillator: The indicator calculates the relative strength index (RSI) over the momentum length parameter. The RSI measures the speed and change of price movements, indicating potential overbought and oversold conditions.
Volume Trend Confirmation: The study compares the current volume with the average volume over the specified length. If the current volume is above the volume threshold, it suggests increasing volume activity and potential confirmation of the trend.
Volatility Filter: The indicator incorporates an average true range (ATR) calculation to assess market volatility. The volatility threshold is derived by multiplying the ATR by the volatility multiplier parameter. It helps filter out signals during periods of low volatility.
Experimental Study:
The TrendingNow indicator aims to experiment with the combination of these technical analysis tools to identify trending market conditions and potential trading opportunities. By monitoring the price reversals, trend confirmation, momentum, volume trends, and volatility, traders can potentially identify high-probability trade setups.
The study involves observing the indicator's signals and assessing their effectiveness in different market conditions. Traders can experiment with different parameter values, timeframes, and asset classes to optimize the indicator's performance.
Usage and Interpretation:
When using the TrendingNow indicator, traders can consider the following guidelines:
Trend Identification: A bullish trend is indicated when the price is above the upper band, the moving average is rising, and the trend confirmation is positive. A bearish trend is indicated when the price is below the lower band, the moving average is declining, and the trend confirmation is negative.
Price Reversals: Price crossing above the upper band may suggest a potential selling opportunity, while price crossing below the lower band may indicate a potential buying opportunity. These reversals should be confirmed by other indicators and market conditions.
Momentum and Volume Confirmation: Traders can pay attention to the RSI levels to assess overbought and oversold conditions. High volume activity in line with the trend can provide additional confirmation.
Volatility Consideration: Traders may choose to adjust the volatility multiplier parameter based on the current market conditions. Higher values may be more suitable during periods of higher volatility, while lower values may be preferred during low volatility.
Conclusion:
The TrendingNow indicator offers an experimental approach to identifying trending market conditions and potential trading opportunities. Traders can customize the indicator parameters and combine it with other analysis techniques to suit their trading strategies. It is important to conduct thorough testing and validation before incorporating the indicator into live trading.
Disclaimer:
The information provided in this document, including the TrendingNow indicator and the accompanying experimental study, is for educational and experimental purposes only. It should not be considered as financial advice or a recommendation to engage in any trading or investment activities. Trading and investing in financial markets carry inherent risks, and past performance is not indicative of future results.
Before making any trading decisions, it is essential to conduct your own research, evaluate your risk tolerance, and consider your financial situation. The TrendingNow indicator is based on historical price data and technical analysis tools. However, it is important to understand that market conditions can change rapidly, and the indicator may not accurately predict future market movements or generate profitable trades in all situations.
The experimental study aims to explore the effectiveness of the TrendingNow indicator under different market conditions. However, the results obtained from the study are specific to historical data and may not necessarily be indicative of real-time market performance. It is recommended to exercise caution and use the indicator in conjunction with other analysis techniques and risk management strategies.
The TrendingNow indicator's parameters, such as length, multiplier, confirmation length, momentum length, overbought level, oversold level, volume threshold, and volatility multiplier, are adjustable inputs. Traders should carefully consider and test different parameter settings to suit their trading style and market conditions. Furthermore, it is important to regularly review and update the indicator's parameters as market dynamics change.
Trading in financial markets involves the potential for financial loss, and individuals should only trade with funds they can afford to lose. It is strongly advised to seek the guidance of a qualified financial professional or advisor before making any investment decisions.
By using the TrendingNow indicator and conducting the experimental study, you acknowledge that you are solely responsible for any trading decisions you make, and you agree to hold harmless the authors, developers, and distributors of this indicator for any losses, damages, or liabilities incurred as a result of your trading activities.
Volume Profile Bar-Magnified Order Blocks [MyTradingCoder]Introducing "Volume Profile Bar-Magnified Order Blocks", an innovative and unique trading indicator designed to provide traders with a comprehensive understanding of market dynamics. This tool takes the concept of identifying order blocks on your chart and elevates it by integrating a detailed volume profile within each order block zone.
Unlike standard order block indicators, Volume Profile Bar-Magnified Order Blocks pulls data from lower timeframe bars and assigns it to various segments of the order block. By providing this volume profile inside the order block, the indicator supplies a deeper, multi-dimensional view of market activity that can enhance your trading decisions.
Crucially, users have the ability to fine-tune the detection of order blocks. This is made possible through a single input setting called "Tuning". This integer value allows you to control the significance and frequency of the order blocks. Higher numbers will produce more significant order blocks, though they will appear less frequently. Lower numbers, on the other hand, will yield less significant order blocks, but they will occur more often. This enables you to adjust the sensitivity of the indicator according to your specific trading strategy and style.
Key Settings:
Number of Segments: Customize the level of detail in your volume profile by selecting the number of segments you want inside each order block.
Tuning: Adjust the sensitivity of order block detection to align with your trading strategy. Higher values produce more significant but less frequent order blocks, while lower values yield less significant but more frequent order blocks.
Color Inputs: Personalize the look of your chart by selecting the colors for various elements of the indicator. This ensures a seamless integration with your current chart aesthetics and improves visual clarity.
Here is a s creenshot that beautifully demonstrates the power of this indicator. You'll see how the price rejects perfectly off the highest volume segment in an order block, showcasing the indicator's potential for pinpointing high-impact price levels.
While Volume Profile Bar-Magnified Order Blocks offers many unique features, it should be used in conjunction with other indicators and forms of analysis for a complete trading strategy. As with all tools, it does not guarantee profitable trades but is intended to give traders more information to base their decisions on. Use it to complement your existing analysis and enhance your understanding of market behavior.
Experience a new level of clarity in your trading with Volume Profile Bar-Magnified Order Blocks - an indicator that goes beyond the surface to help you navigate the markets more effectively.
Multi-Divergence Buy/Sell IndicatorThe "Multi-Divergence Buy/Sell Indicator" is a technical analysis tool that combines multiple divergence signals from different indicators to identify potential buy and sell opportunities in the market. Here's a breakdown of how the indicator works and how to use it:
Input Parameters:
RSI Length: Specifies the length of the RSI (Relative Strength Index) calculation.
MACD Short Length: Specifies the short-term length for the MACD (Moving Average Convergence Divergence) calculation.
MACD Long Length: Specifies the long-term length for the MACD calculation.
MACD Signal Smoothing: Specifies the smoothing length for the MACD signal line calculation.
Stochastic Length: Specifies the length of the Stochastic oscillator calculation.
Stochastic Overbought Level: Defines the overbought level for the Stochastic oscillator.
Stochastic Oversold Level: Defines the oversold level for the Stochastic oscillator.
Calculation of Indicators:
RSI: Calculates the RSI based on the specified RSI Length.
MACD: Calculates the MACD line, signal line, and histogram based on the specified MACD parameters.
Stochastic: Calculates the Stochastic oscillator based on the specified Stochastic parameters.
Divergence Detection:
RSI Divergence: Identifies a bullish divergence when the RSI crosses above its 14-period simple moving average (SMA).
MACD Divergence: Identifies a bullish divergence when the MACD line crosses above the signal line.
Stochastic Divergence: Identifies a bullish divergence when the Stochastic crosses above its 14-period SMA.
Buy and Sell Conditions:
Buy Condition: Triggers a buy signal when all three divergences (RSI, MACD, and Stochastic) occur simultaneously.
Sell Condition: Triggers a sell signal when both RSI and MACD divergences occur, but Stochastic divergence does not occur.
Plotting Buy/Sell Signals:
The indicator plots green "Buy" labels below the price bars when the buy condition is met.
It plots red "Sell" labels above the price bars when the sell condition is met.
Usage:
The indicator can be used on any timeframe and for any trading instrument.
Look for areas where all three divergences (RSI, MACD, and Stochastic) align to generate stronger buy and sell signals.
Consider additional technical analysis and risk management strategies to validate the signals and manage your trades effectively.
Remember, no indicator guarantees profitable trades, so it's essential to use this indicator in conjunction with other tools and perform thorough analysis before making trading decisions.
Feel free to ask any questions
Monthly Strategy Performance TableWhat Is This?
This script code adds a Monthly Strategy Performance Table to your Pine Script strategy scripts so you can see a month-by-month and year-by-year breakdown of your P&L as a percentage of your account balance.
The table is based on realized equity rather than open equity, so it only updates the metrics when a trade is closed.
That's why some numbers will not match the Strategy Tester metrics (such as max drawdown), as the Strategy Tester bases metrics like max drawdown on open trade equity and not realized equity (closed trades).
The script is still a work-in-progress, so make sure to read the disclaimer below. But I think it's ready to release the code for others to play around with.
How To Use It
The script code includes one of my strategies as an example strategy. You need to replace my strategy code with your own. To do that just copy the source code below into a blank script, delete lines 11 -> 60 and paste your strategy code in there instead of mine. The script should work with most systems, but make sure to read the disclaimer below.
It works best with a significant amount of historical data, so it may not work very effectively on intraday timeframes as there is a severe limitation of available bars on TradingView. I recommend using it on 4HR timeframes and above, as anything less will produce very little usable data. Having a premium TradingView plan will also help boost the number of available bars.
You can hover your mouse over a table cell to get more information in the form of tooltips (such as the Long and Short win rate if you hover over your total return cell).
Credit
The code in this script is based on open-source code originally written by QuantNomad, I've made significant changes and additions to the original script but all credit for the idea and especially the display table code goes to them - I just built on top of it:
Why Did I Make This?
None of this is trading or investment advice, just my personal opinion based on my experience as a trader and systems developer these past 6+ years:
The TradingView Strategy Tester is severely limited in some important ways. And unless you use complex Excel formulas on exported test data, you can't see a granular perspective of your system's historical performance.
There is much more to creating profitable and tradeable systems than developing a strategy with a good win rate and a good return with a reasonable drawdown.
Some additional questions we need to ask ourselves are:
What did the system's worst drawdown look like?
How long did it last?
How often do drawdowns occur, and how quickly are they typically recovered?
How often do we have a break-even or losing month or year?
What is our expected compounded annual growth rate, and how does that growth rate compare to our max drawdown?
And many more questions that are too long to list and take a lifetime of trading experience to answer.
Without answering these kinds of questions, we run the risk of developing systems that look good on paper, but when it comes to live trading, we are uncomfortable or incapable of enduring the system's granular characteristics.
This Monthly Performance Table script code is intended to help bridge some of that gap with the Strategy Tester's limited default performance data.
Disclaimer
I've done my best to ensure the numbers this code outputs are accurate, and according to my testing with my personal strategy scripts it appears to work fine. But there is always a good chance I've missed something, or that this code will not work with your particular system.
The majority of my TradingView systems are extremely simple single-target systems that operate on a closed-candle basis to minimize many of the data reliability issues with the Strategy Tester, so I was unable to do much testing with multiple targets and pyramiding etc.
I've included a Debug option in the script that will display important data and information on a label each time a trade is closed. I recommend using the Debug option to confirm that the numbers you see in the table are accurate and match what your strategy is actually doing.
Always do your own due diligence, verify all claims as best you can, and never take anyone's word for anything.
Take care, and best of luck with your trading :)
Kind regards,
Matt.
PS. If you're interested in learning how this script works, I have a free hour-long video lesson breaking down the source code - just check out the links below this script or in my profile.
