Multiple SMA, EMA, and VWAP CrossoversMultiple SMA, EMA, and VWAP Crossovers with Alerts
Overview : The "Multiple SMA, EMA, and VWAP Crossovers" script is designed for traders who want to monitor various simple moving averages (SMAs), exponential moving averages (EMAs), and the volume-weighted average price (VWAP) to identify potential buy and sell opportunities. This script allows you to visualize key moving averages on your chart and create custom alerts for specific crossover events.
Detail s: This script plots the following moving averages:
Simple Moving Averages (SMA): 5, 10, 20, 50, 100, 200, and 325 periods
Exponential Moving Average (EMA): 9 periods
Volume-Weighted Average Price (VWAP)
It includes options to display these moving averages and set alerts for their crossovers.
Available Crossovers:
20/50 SMA, 20/100 SMA, 20/200 SMA, 20/325 SMA
50/100 SMA, 50/200 SMA, 50/325 SMA
100/200 SMA, 100/325 SMA
200/325 SMA
VWAP/20 SMA, VWAP/50 SMA, VWAP/100 SMA, VWAP/200 SMA, VWAP/325 SMA
Optional Lines to Add to the Chart:
9 EMA, 5 SMA, 10 SMA, 20 SMA, 50 SMA, 100 SMA, 200 SMA, 325 SMA, VWAP
How to Use:
Enable Indicators: Use the input options to select which SMAs, EMA, and VWAP you want to display on your chart.
Set Alerts: Choose the specific crossover events you want to monitor. For example, you can set an alert for the 20/50 SMA crossover or the VWAP/100 SMA crossover.
Monitor the Chart: The script will plot the selected moving averages on your chart. When a selected crossover event occurs, an alert will be triggered, notifying you of the potential trade opportunity.
Usage Tips:
Trending Market: Use the buy and sell alerts in trending markets where the moving averages can help confirm the direction of the trend.
Key Support and Resistance Levels: Combine crossover alerts with key support and resistance levels for more reliable trading signals.
Volume Confirmation: Ensure there is sufficient volume to support the crossover signals, indicating stronger momentum behind the move.
When NOT to Use Buy and Sell Alerts:
Low Volume: Avoid using buy and sell alerts during periods of low trading volume, as the signals may be less reliable.
Market Noise: Be cautious in highly volatile markets where frequent crossovers might generate false signals.
Sideways Market: In a sideways or range-bound market, crossover signals can result in multiple whipsaws, leading to potential losses.
Why Use This Script? This script provides a comprehensive tool for traders to monitor multiple moving averages and VWAP crossovers efficiently. It allows you to customize alerts based on your trading strategy and helps you make informed decisions by visualizing key technical indicators on your chart.
Legal Disclaimer: The information provided by this script is for educational and informational purposes only and should not be considered financial advice. The developer of this script is not responsible for any financial losses incurred from using this script.
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ZLSMA with Chandelier ExitThe "ZLSMA with Chandelier Exit" indicator integrates two advanced trading tools: the Zero Lag Smoothed Moving Average (ZLSMA) and the Chandelier Exit. The ZLSMA is designed to provide a smoothed trend line that reacts quickly to price changes, making it effective for identifying trends. The Chandelier Exit employs the Average True Range (ATR) to establish trailing stop levels, assisting traders in managing risk.
How to Use This Indicator
Trend Identification: Observe the ZLSMA line. If the price is consistently above the ZLSMA, it indicates a bullish trend; if below, it suggests a bearish trend.
Entry and Exit Signals:
Buy Signal : When the price crosses above the Chandelier Exit level and the ZLSMA is trending upwards, consider entering a long position.
Sell Signal : Conversely, when the price crosses below the Chandelier Exit level and the ZLSMA is trending downwards, consider entering a short position.
Risk Management : Adjust your stop-loss levels based on the Chandelier Exit lines to protect profits and limit losses.
Pros :
Responsive to Market Changes : The ZLSMA provides quicker signals than traditional moving averages, allowing traders to capture trends early.
Risk Management : The Chandelier Exit helps traders set dynamic stop-loss levels based on market volatility, enhancing risk management.
Cons :
Lagging Nature : Despite being faster than standard moving averages, ZLSMA and Chandelier Exit can still lag during highly volatile market conditions.
False Signals : In choppy or sideways markets, the indicator may produce false signals, leading to potential losses.
Complexity : New traders may find it challenging to interpret multiple components of the indicator effectively, making it necessary to practice and refine their understanding.
Overall, this indicator is a powerful tool for traders seeking to combine trend-following strategies with effective risk management, but it requires careful consideration of market conditions and proper risk management practices.
The Exact IndicatorStruggling to get in on a trade? Don't know where to take profits? This indicator might help - it only displays the Buy, Stop Loss and Take profit points when certain conditions are met.
The indicator combines a moving average crossover strategy with trend analysis to identify potential buy opportunities in the market. It utilises a short-term and long-term Simple Moving Average (SMA) to generate buy signals when the short-term SMA crosses above the long-term SMA. Additionally, it displays take profit and stop loss levels, along with a background colour indicating the overall trend strength.
Pros :
Clear Signals : Provides straightforward buy signals based on a well-known crossover strategy, making it easy for traders to identify entry points.
Visual Aids : The inclusion of take profit and stop loss levels, along with background trend colors, enhances decision-making and risk management.
Trend Awareness : The background colour changes based on trend strength, allowing traders to quickly assess market conditions.
Cons :
Lagging Indicator : Moving averages are inherently lagging, which can result in delayed signals, especially in volatile markets.
False Signals : Crossover strategies can produce false signals during sideways or choppy market conditions, leading to potential losses.
Limited Scope : The indicator focuses primarily on buy signals, potentially missing out on other trading opportunities (like short-selling) in a bearish market.
Overall, while this indicator can be a useful tool for identifying bullish trends and potential entry points, traders should use it in conjunction with other analysis methods and risk management strategies to mitigate its limitations.
Divergence for Many Indicators v4 Screener▋ INTRODUCTION:
The “Divergence for Many Indicators v4 Screener” is developed to provide an advanced monitoring solution for up to 24 symbols simultaneously. It efficiently collects signals from multiple symbols based on the “ Divergence for Many Indicators v4 ” and presents the output in an organized table. The table includes essential details starting with the symbol name, signal price, corresponding divergence indicator, and signal time.
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▋ CREDIT:
The divergence formula adapted from the “ Divergence for Many Indicators v4 ” script, originally created by @LonesomeTheBlue . Full credit to his work.
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▋ OVERVIEW:
The chart image can be considered an example of a recorded divergence signal that occurred in $BTCUSDT.
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▋ APPEARANCE:
The table can be displayed in three formats:
1. Full indicator name.
2. First letter of the indicator name.
3. Total number of divergences.
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▋ SIGNAL CONFIRMATION:
The table distinguishes signal confirmation by using three different colors:
1. Not-Confirmed (Orange): The signal is not confirmed yet, as the bar is still open.
2. Freshly Confirmed (Green): The signal was confirmed 1 or 2 bars ago.
3. Confirmed (Gray): The signal was confirmed 3 or more bars ago.
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▋ INDICATOR SETTINGS:
Section(1): Table Settings
(1) Table location on the chart.
(2) Table’s cells size.
(3) Chart’s timezone.
(4) Sorting table.
- Signal: Sorts the table by the latest signals.
- None: Sorts the table based on the input order.
(5) Table’s colors.
(6) Signal Confirmation type color. Explained above in the SIGNAL CONFIRMATION section
Section(2): Divergence for Many Indicators v4 Settings
As seen on the Divergence for Many Indicators v4
* Explained above in the APPEARANCE section
Section(3): Symbols
(1) Enable/disable symbol in the screener.
(2) Entering a symbol.
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▋ FINAL COMMENTS:
For best performance, add the Screener indicator to an active symbol chart, such as QQQ, SPY, AAPL, BTCUSDT, ES, EURUSD, etc., and avoid mixing symbols from different market allocations.
The Divergence for Many Indicators v4 Screener indicator is not a primary tool for making trading decisions.
MA rate of changeThis indicator uses moving averages to determine trends. For those who trade using a trend-following strategy, it's not possible to use the slope of the moving average line as an indicator of trend judgment if it's expressed as an angle. This is because the angle changes depending on the adjustments made to the vertical price scale and horizontal time scale of the chart.
Therefore, instead of using the angle, I decided to use the rate of change in price as an alternative indicator.
The relationship between the rate of change of the moving average and the angle of the moving average line is as follows:
- When the value is positive, the moving average line slopes upward.
- When the value is negative, the moving average line slopes downward.
- The larger the absolute value of the rate of change, the steeper the angle; the smaller the value, the gentler the slope.
The trend is determined using the rate of change instead of the angle, as follows:
- Uptrend: Rate of change > 0.5 (this value can be adjusted) ⇒ Display with a red background
- Downtrend: Rate of change < -0.5 (this value can be adjusted) ⇒ Display with a blue background
An example of a trade using this indicator is as follows:
- Enter the trade the day after the trend appears.
- Exit the trade the day after the trend ends.
このインジケーターは移動平均線を使ってトレンドを判断します。トレンドフォロー戦略でトレードする方はこのインジケーターの示す移動平均線の傾きを角度で表してトレンドの判定の指標とすることはできません。なぜなら、角度はチャートの縦軸の価格スケールや横軸の時間のスケールを調整することで変わってしまうからです。
そこで角度に代わる別の指標として価格の変化率を使うことにしました。
移動平均の変化率と、移動平均線の角度の関係は次の通りです。
- プラスの値の場合は移動平均線は右肩上がり
- マイナスの値の場合は移動平均線は右肩下がり
- 変化率の絶対値が大きいほど角度は急になり、小さいほど角度は緩やかになる
トレンドの判定は次のようにします。角度の代わりに変化率で判定します。
- 上昇トレンド : 変化率 > 0.5 (この値は調整可能) ⇒赤色の背景で表示
- 下降トレンド : 変化率 < -0.5 (この値は調整可能)⇒青色の背景で表示
このインジケーターを使ったトレードの例は次の通りです。
- トレンドが発生した翌日エントリー
- トレンドが終了した翌日エグジット
Advanced Supply and Demand Indicator# Advanced Supply and Demand Indicator
This Pine Script™ indicator helps traders identify potential supply and demand zones in financial markets. It uses price action, volume, and historical data to plot these zones on your chart, providing valuable insights for trading decisions.
## Key Features:
- Automatically detects and plots supply and demand zones
- Customizable lookback period for zone identification
- Adjustable strength multiplier for more precise zone detection
- User-defined opacity for visual clarity
- Combines price action and volume analysis for improved accuracy
## How It Works:
1. Identifies significant price levels using a specified lookback period
2. Analyzes volume data to confirm potential supply and demand zones
3. Plots supply zones in red and demand zones in green
4. Displays the current price for easy reference
## Customization Options:
- Lookback Period: Adjust the historical data range (1-100 bars)
- Zone Strength Multiplier: Fine-tune the sensitivity of zone detection (1.0-3.0)
- Zone Opacity: Set the transparency of plotted zones (10-100%)
This indicator is designed to help traders identify potential areas of support and resistance, allowing for more informed entry and exit decisions in their trading strategies.
SMT Divergences [OutOfOptions]Smart Money Technique (SMT) Divergence is designed to identify discrepancies between correlated assets within the same timeframe. It occurs when two related assets exhibit opposing signals, such as one forming a higher low while the other forms a lower low. This technique is particularly useful for anticipating market shifts or reversals before they become evident through other Premium Discount (PD) Arrays.
This indicator works by identifying the highs and lows that have formed for an asset on the current chart and the correlated symbol defined in the settings. Once a pivot on either asset is formed, it checks if the pivot has taken liquidity as identified by the previous pivot in the same direction (i.e., a new high taking out a previous high). If this is the case and the corresponding asset has not taken a similar pivot, the condition is determined to be a potential valid divergence. The indicator will then filter out SMTs formed by adjacent candles, requiring at least one candle difference between the candles forming the SMT.
If the “Candle Direction Validation” setting is enabled, the indicator will further check both assets to ensure that for bullish SMTs, the last high on both assets was formed by down candle, and for bearish SMTs, the low was formed by an up candle. This check can often eliminate low-probability SMTs that are frequently broken.
The referenced chart shows divergence between Nasdaq (NQ) and S&P 500 (ES) futures, which are normally closely correlated assets that move in the same direction. The lines shown represent bullish and bearish divergences between the two when they are formed. As you can see from the chart, SMT Divergences may not always indicate a reversal, or a reversal might be just a short-term retrace. Therefore, SMT Divergences should not be used independently. However, in conjunction with other PD arrays, they can provide strong confirmation of a change in market direction.
Configurability:
Pivot strength - Indicates how many bars to the left/right of a high for pivot to be considered, recommended to keep at 1 for maximum detection speed
Candle Direction Validation - Additional SMT validation to filter out weak/low-probability SMTs be examining candle direction
Line Styling for Bullish/Bearish SMTs - Ability to customize line style, color & width for bullish/bearish SMTs
Label Control - Whether or not to show SMT label and if shown what font size & color should be used
What makes this indicator different:
Unlike other SMT indicators, this indicators has additional built-in controls to remove low-probability SMTs
RSI TOTAL MOMENTUM1 (resatserhat)SOURCE OF COLORS
Our oscillator is the classic RSI oscillator. However, in the classic RSI oscillator, only RSI14 is taken into account, the user looks at different periods when he wants, and each period shows a different level. This situation confuses the user and prevents him from reaching a clear conclusion. This indicator takes into account the relationship between more than 1 or even 10 RSI periods, and shows us with colors which direction the momentum is in all periods and how strong it is. In other words, the mathematics underlying the coloring is the relationship between different RSI periods.
RSI COLORS
The RSI line has 3 colors: red, green, blue. The red color indicates that the momentum is weakening, the green color indicates that it is strengthening, and the blue color indicates that the momentum is unstable and can switch from red to green or from green to red at any moment.
BOLLINGER BAND COLORS
It is formed by considering the same mathematics as the RSI line colors, but it shows the momentum of larger periods. That is, it changes color later than the RSI line, but it is more reliable and accurate.
Colors in Hidden Divergences
In hidden negative divergences and hidden positive divergences, a single bar usually has an outlier color, this should be taken into consideration.
How to Use Colors?
1. When the RSI shows green bottom, blue bottom or green and blue mixed bottoms, it is a strong bullish signal.
2. When the RSI shows red top, blue top or red and blue mixed tops, it is a strong bearish signal.
3. When the RSI and BAND colors are bearish, it creates a strong signal.
4. When the RSI performs the actions in the 1st definition above the Bollinger Band, the buy signal should be trusted more.
5. When the RSI performs the actions in the 2nd definition below the Bollinger Band, the sell signal should be trusted more.
40-60 LEVELS
The 40-60 levels are strong resistance and support levels. Added for the Andrew Cardwell strategy. Blue, green or blue-green mixed bottoms occurring close to the 60 level bring strong upward movements
Red, blue or red-blue mixed tops occurring close to the 40 level bring strong downward movements.
Also in the oscillator, when RSI14 goes above the 80 level, the background color turns red. When it falls below the 20 level, the background color turns green. The first one indicates a sell zone, the second one indicates a buy zone.
TÜRKÇE
RENKLERİN KAYNAĞI
Osilatörümüz klasik RSI osilatörüdür. Fakat klasik RSI osilatöründe sadece RSI14 dikkate alınır, kullanıcı istediğinde farklı periyotlara bakar ve her periyot farklı bir seviye gösterir. Bu durum kullanıcının zihnini karıştırır, net bir kanıya varmasını önler. İşte bu indikatör 1’den hatta 10’dan fazla RSI periyodu arasındaki ilişkiyi dikkate alarak, bütün periyotlardaki momentumun hangi yönde olduğunu ve hangi güçte olduğunu renklerle bize gösterir. Yani Renklendirmenin temelinde yatan matematik farklı RSI periyotları arasındaki ilişkidir.
RSI RENKLERİ
RSI çizgisi kırmızı, yeşil, mavi olmak üzere 3 renk taşır. Kırmızı renk momentumun zayıfladığını gösterir, yeşil renk güçlendiğini, mavi renk ise momentumun kararsız olduğunu ve her an kırmızdan yeşile veya yeşilden kırmızıya geçebileceğini söyler.
BOLLİNGER BANDI RENKLERİ
RSI çizgisi renkleri ile aynı matematik dikkate alınarak oluşur, fakat daha büyük periyotların momentumunu gösterir. Yani RSI çizgisine göre daha geç renk değiştirir ama daha güvenilir ve kesindir.
Gizli Uyumsuzluklarda Renkler
Gizli negatif uyumsuzluk ve gizli pozitif uyumsuzluklarda genelde tek bir barda aykırı renk oluşur, bu husus dikkate alınmalıdır.
Renkler Nasıl Kullanılmalı?
1. RSI yeşil dip, mavi dip veya yeşil ve mavi karışımı dipler gösterdiğinde yükseliş yönlü güçlü bir sinyaldir.
2. RSI kırmızı tepe, mavi tepe veya kırmızı ve mavi karışışımı tepeler gösterdiğinde düşüş yönlü güçlü bir sinyaldir.
3. RSI ve BAND renkleri ayı olduğunda güçlü bir sinyal oluşturur.
4. RSI bollinger bandının üstünde 1. Tanımdaki eylemleri gerçekleştirdiğinde alım sinyaline daha çok güvenilmeli.
5. RSI bollinger bandının altında 2. Tanımdaki eylemleri gerçekleştirdiğinde satım sinyaline daha çok güvenilmeli.
40-60 SEVİYELERİ
40-60 seviyeleri güçlü direnç ve destek seviyeleridir. Andrew Cardwell stratejisi için eklenmiştir. 60 seviyesine yakın gerçekleşen mavi, yeşil veya mavi-yeşil karışımı dipler güçlü yükseliş hareketleri getirir
40 seviyesine yakın gerçekleşen kırmızı, mavi veya kırmızı-mavi karışımı tepeler güçlü düşüş hareketleri getirir.
Osilatörde ayrıca RSI14 80 seviyesinin üzerine çıktığında arka plan rengi kırmızıya dönüşür. 20 seviyesinin altına düştüğüne arkaplan rengi yeşile dönüşür. İlki satış bölgesi ikincisi alış bölgesi olduğunu haber eder.
Pivot Bollinger BandThis is a special kind of Bollinger Bands indicator that adapts to the market's pivot points. Instead of using regular price data, it first finds important swing highs and lows in the market (called pivot points). It then uses these pivot points to create a center line, which is like a moving average of where the market is pivoting.
Around this center line, it draws the classic Bollinger Bands - an upper and lower band that show where prices might find resistance or support. The distance between these bands changes based on market volatility, just like regular Bollinger Bands. You can adjust how sensitive it is to pivot points and how wide the bands should be.
By using pivot point based Bollinger Bands, we expect band breakout can be captured more effectively.
CPR by NKDCentral Pivot Range (CPR) Trading Strategy:
The Central Pivot Range (CPR) is a widely-used tool in technical analysis, helping traders pinpoint potential support and resistance levels in the market. By using the CPR effectively, traders can better gauge market trends and determine favorable entry and exit points. This guide explores how the CPR works, outlines its calculation, and describes how traders can enhance their strategies using an extended 10-line version of CPR.
What Really Central Pivot Range (CPR) is?
At its core, the CPR consists of three key lines:
Pivot Point (PP) – The central line, calculated as the average of the previous day’s high, low, and closing prices.
Upper Range (R1) – Positioned above the Pivot Point, acting as a potential ceiling where price may face resistance.
Lower Range (S1) – Found below the Pivot Point, serving as a potential floor where price might find support.
Advanced traders often expand on the traditional three-line CPR by adding extra levels above and below the pivot, creating up to a 10-line system. This extended CPR allows for a more nuanced understanding of the market and helps identify more detailed trading opportunities.
Applying CPR for Trading Success
1. How CPR is Calculation
The CPR relies on the previous day's high (H), low (L), and close (C) prices to create its structure:
Pivot Point (PP) = (H + L + C) / 3
First Resistance (R1) = (2 * PP) - L
First Support (S1) = (2 * PP) - H
Additional resistance levels (R2, R3) and support levels (S2, S3) are calculated by adding or subtracting multiples of the previous day’s price range (H - L) from the Pivot Point.
2. Recognizing the Market Trend
To effectively trade using CPR, it’s essential to first determine whether the market is trending up (bullish) or down (bearish). In an upward-trending market, traders focus on buying at support levels, while in a downward market, they look to sell near resistance.
3. Finding Ideal Entry Points
Traders often look to enter trades when price approaches key levels within the CPR range. Support levels (S1, S2) offer buying opportunities, while resistance levels (R1, R2) provide selling opportunities. These points are considered potential reversal zones, where price may bounce or reverse direction.
4. Managing Risk with Stop-Loss Orders
Proper risk management is crucial in any trading strategy. A stop-loss should be set slightly beyond the support level for buy positions and above the resistance level for sell positions, ensuring that losses are contained if the market moves against the trader’s position.
5. Determining Profit Targets
Profit targets are typically set based on the distance between entry points and the next support or resistance level. Many traders apply a risk-reward ratio, aiming for larger potential profits compared to the potential losses. However, if the next resistance and support level is far then middle levels are used for targets (i.e. 50% of R1 and R2)
6. Confirmation Through Other Indicators
While CPR provides strong support and resistance levels, traders often use additional indicators to confirm potential trade setups. Indicators such as moving averages can
help validate the signals provided by the CPR.
7. Monitoring Price Action At CPR Levels
Constantly monitoring price movement near CPR levels is essential. If the price fails to break through a resistance level (R1) or holds firm at support (S1), it can offer cues on when to exit or adjust a trade. However, a strong price break past these levels often signals a continued trend.
8. Trading Breakouts with CPR
When the price breaks above resistance or below support with strong momentum, it may signal a potential breakout. Traders can capitalize on these movements by entering positions in the direction of the breakout, ideally confirmed by volume or other technical indicators.
9. Adapting to Changing Market Conditions
CPR should be used in the context of broader market influences, such as economic reports, news events, or geopolitical shifts. These factors can dramatically affect market direction and how price reacts to CPR levels, making it important to stay informed about external market conditions.
10. Practice and Backtesting for Improvements
Like any trading tool, the CPR requires practice. Traders are encouraged to backtest their strategies on historical price data to get a better sense of how CPR works in different market environments. Continuous analysis and practice help improve decision-making and strategy refinement.
The Advantages of Using a 10-Line CPR System
An extended 10-line CPR system—comprising up to five resistance and five support levels—provides more granular control and insight into market movements. This expanded view helps traders better gauge trends and identify more opportunities for entry and exit. Key benefits include:
R2, S2 Levels: These act as secondary resistance or support zones, giving traders additional opportunities to refine their trade entries and exits.
R3, S3 Levels: Provide an even wider range for identifying reversals or trend continuations in more volatile markets.
Flexibility: The broader range of levels allows traders to adapt to changing market conditions and make more precise decisions based on market momentum.
So in Essential:
The Central Pivot Range is a valuable tool for traders looking to identify critical price levels in the market. By providing a clear framework for identifying potential support and resistance zones, it helps traders make informed decisions about entering and exiting trades. However, it’s important to combine CPR with sound risk management and additional confirmation through other technical indicators for the best results.
Although no trading tool guarantees success, the CPR, when used effectively and combined with practice, can significantly enhance a trader’s ability to navigate market fluctuations.
BBPct FL Impulse [BackQuant]BBPct FL Impulse
Introducing BackQuant's BBPct FL Impulse — a powerful and unique trading indicator designed to detect impulse moves and exhaustion points in the market. This leading indicator combines Bollinger Band Percentage (BBPct) calculations with a for-loop system to generate clear long and short signals. Additionally, it plots support and resistance exhaustion levels directly on the chart, providing traders with a visual representation of key market levels.
The BBPct FL Impulse is designed for traders who want to anticipate price movements rather than react to lagging indicators. By utilizing the Bollinger Band Percentage, this indicator identifies moments when the price is pushing toward extremes, signaling the likelihood of impulse moves. It goes a step further by providing exhaustion levels where the market may reverse or pause, helping traders identify potential entries and exits.
Core Concept: Bollinger Band Percentage (BBPct)
The BBPct is the primary calculation driving this indicator. It measures where the price is relative to its Bollinger Bands, allowing traders to gauge overbought or oversold conditions. Bollinger Bands are a well-known tool used to define high and low points based on standard deviation from a moving average. The BBPct takes this one step further by showing how far the price is within the bands, as a percentage.
In this script, the BBPct is calculated using the closing price over a customizable BBPct Length (default set to 70) and a Multiplier that defines the width of the bands based on standard deviation. This helps detect when price pushes toward its upper or lower boundaries, indicating potential breakouts or pullbacks.
For-Loop Scoring Mechanism
The for-loop scoring system adds a layer of sophistication to this indicator. It evaluates the BBPct over a range of periods (defined by the Start and End parameters) and generates a score that measures the direction and strength of the price movement.
Long Signals: A long signal is triggered when the score surpasses the Long Threshold (default set at 40), indicating a strong bullish impulse.
Short Signals: A short signal (labeled as "Cash" in this script) is triggered when the score crosses under the Short Threshold (default set at -10), suggesting the price has lost momentum and a bearish move may be coming.
These signals are highlighted on the chart with green triangles for Long and red triangles for Cash, giving traders clear visual cues for potential buy and sell points.
Key Feature: Exhaustion Levels (Support and Resistance)
One of the standout features of this script is the automatic plotting of Exhaustion Support and Resistance Levels. These levels represent points in the market where the price is likely to exhaust its movement and potentially reverse.
Support is plotted when the price shows signs of bullish exhaustion (low price points).
Resistance is plotted when the price shows signs of bearish exhaustion (high price points).
This dynamic support and resistance system uses a custom function based on price swings, analyzing exhaustion patterns to detect significant levels. The indicator allows traders to visualize key market zones where potential reversals or slowdowns may occur, helping to refine trade entries and exits.
Customization & Visualization
This indicator comes with a range of customizable settings, giving traders full control over how the signals are generated and displayed on the chart:
Calculation Source: Choose the price data used for the BBPct calculation (default is the closing price).
BBPct Length: Set the lookback period for the BBPct calculation, adjusting how smooth or reactive the indicator is to price changes.
Multiplier: Adjust the multiplier for the Bollinger Band calculation, controlling how wide or narrow the bands are and thereby affecting sensitivity.
Thresholds for Signals: Customize the thresholds for long and short signals, allowing you to fine-tune the sensitivity to different market conditions.
Show Long and Cash Signals: Toggle the display of long and short signals on the chart.
Exhaustion Levels: Toggle the display of support and resistance levels, adjusting the length of swings and the thickness of the lines to suit your preferences.
Trading Applications
The BBPct FL Impulse indicator is a versatile tool designed to help traders identify impulse moves and exhaustion points. Some of its key applications include:
Breakout Trading: By using the BBPct to detect when price moves toward the extremes of the Bollinger Bands, traders can anticipate potential breakouts and catch the beginning of strong price moves.
Reversal Trading: The exhaustion support and resistance levels provide key areas where price may reverse, allowing reversal traders to identify potential entries as the market shows signs of exhaustion.
Trend Following: The for-loop scoring system helps quantify the strength of price moves, enabling trend-following traders to stay in winning trades as long as the impulse remains strong.
Risk Management: By providing clear support and resistance levels, the indicator helps traders manage risk more effectively by highlighting zones where price may pause or reverse, allowing for better stop-loss placement.
Final Thoughts
The BBPct FL Impulse is an advanced indicator that combines the precision of Bollinger Band Percentage calculations with the power of a for-loop scoring system and dynamic exhaustion levels. Whether you're looking to trade breakouts, reversals, or trends, this indicator offers the tools to help you make informed decisions in the market.
As always, it's important to backtest the indicator and adapt it to your specific trading style and market. No indicator is infallible, and it should be used as part of a broader trading strategy that includes sound risk management practices.
Seven Campbell - Volume Stops (TickerTrendz)🚀 Introducing the "Volume Stops" Indicator 📊
Are you looking for a powerful tool to spot potential market reversals based on volume and price action? The Volume Stops indicator is designed just for that! Built with TradingView's Pine Script (v5), this indicator analyzes volume trends and price action to identify possible long and short setups, making it easier to time your entries and exits.
Key Features:
🎨 Customizable Colors: Tailor the indicator's appearance to your preferences with adjustable colors for long and short setups.
📉 Volume-Based Signals: The indicator identifies when volume is increasing or decreasing over the last three bars and aligns it with the price action (red/green bars).
💡 Long & Short Setups:
Long Signal: When volume shows signs of weakening and the price forms a bullish reversal (two red bars followed by a green bar).
Short Signal: When volume shows signs of weakening and the price forms a bearish reversal (two green bars followed by a red bar).
📲 Alerts: Get notified with alerts whenever a potential reversal is detected, helping you stay on top of the market!
With its straightforward yet powerful logic, Volume Stops is ideal for traders who rely on volume and price action to spot market reversals early. Try it out and stay ahead of the market!
LPPL Critical Pulse (by BigBlueCheese) Version 1.1LPPL Critical Pulse (by BigBlueCheese)
I couldn’t locate a single script on TradingView that utilized the Log-Periodic Power Law (LPPL) and period doubling—key tools used by street professionals. Here is my first script…More to come.
Log-Periodic Power Law (LPPL)
LPPL is a mathematical framework used to model asset price bubbles that can help predict market crashes or corrections. It is based on the idea that speculative bubbles exhibit self-reinforcing, positive feedback behavior that leads to increasingly unsustainable price growth, followed by a crash or correction. But the big news is that because of the speculative behavior it can identify, it has equal application across many other instruments & timeframes.
The LPPL, has been around since the 1950’s and 1960’s where its theoretical foundation lies in the concepts of renormalized group theory and critical point behavior. Physicists Lev Landau, Vitaly Ginzburg & Kenneth Wilson contributed to how we can understand systems behave at critical points and was further developed by Benoit Mandelbrot via the concept of discrete scale invariance and log-periodicity. The concepts were popularized by Didier Sornette in Why Stock Markets Crash, where he used his model to detect when markets are experiencing extreme price movements, indicating the potential for a bubble to burst or a significant correction to occur. It is suspected that others like Jim Simons was an early adopter/adapter of this (and other) advanced mathematical concepts. LPPL is especially valuable for traders trying to anticipate rapid price movements—both upward and downward.
What is a Speculative Bubble?
A speculative bubble forms when an asset’s price skyrockets due to excitement from investors, pushing it well beyond its true value. At some point, this unsustainable growth leads to a crash, as the bubble “pops.” However, these crashes don’t need to be massive market-shaking events. They can also emerge from short-term price anomalies in any market or timeframe…..and they apply equally to upward & downward price moves. That is you can use this approach for both long and short trades.
Power Law & Log-Periodicity
The Power Law aspect describes how prices accelerate as they approach a critical point, forming a steep curve that signals instability.
The Log-Periodic component captures the oscillations that grow increasingly frequent as the price nears this tipping point, marking rising volatility.
Criticality in Trading: Feedback Loops, Attractors and Repellers
LPPL can be applied to financial markets by comparing them to natural systems prone to critical points, like avalanches or earthquakes. The key concept is criticality—the idea that, just like pressure building in an earthquake zone or snow stacking up on a mountain, there’s a feedback loop in markets where investor behavior becomes increasingly synchronized. This creates a self-reinforcing cycle, accelerating price movements until the system can no longer sustain the tension, and it collapses—similar to a critical phase shift in nature when physical systems experience sudden, catastrophic events when they reach a critical threshold.
In this context, the LPPL model aims to identify these critical points in financial markets by recognizing specific patterns in price movements, providing insight into the potential timing of major market shifts.
This is how markets can behave like attractors (drawing prices into unsustainable growth or collapses) or repellers (pushing them away through sudden corrections), depending on the balance of forces. LPPL captures this dynamic, helping traders anticipate when the market is nearing these critical moments.
Attractors are states or patterns that a system tends to gravitate towards over time, representing points of stability or equilibrium. Repellers are states that the system tends to avoid or move away from, representing instability or points of divergence.
In the context of the LPPL model, the market is seen as a dynamic system that is moving towards a critical point—often a bubble or a crash. The critical point itself can be viewed as an attractor, pulling the market toward a period of instability as prices accelerate and oscillations become more frequent. This movement reflects positive feedback loops, where investor behavior (e.g., herd mentality or speculative buying) reinforces the trend until it reaches an unsustainable level.
Conversely, once the critical point is reached, it can act as a repeller, causing the system (market) to rapidly move away from that state, often resulting in a crash or market correction. In essence, the LPPL model tries to identify these phases of movement toward or away from critical points, using attractors and repellers to describe the behavior of the system before and after major market events.
This dynamic interaction between stability and instability, or attractors and repellers, is a key feature of how Sornette’s LPPL approach models financial markets, emphasizing the market’s ability to oscillate between periods of calm and critical shifts.
Bubbles and Crashes in Any Timeframe
While people often think of bubbles and crashes as huge events like the Crash of 87, the Global Financial Crisis or COVID-19, they can also be much smaller or instrument specific. A short-term spike in a stock or a sudden currency drop can behave like a miniature bubble. LPPL helps spot these shorter-term price anomalies, making it versatile for traders looking for opportunities in all instruments and timeframes.
How Can I Use LPPL Critical Pulse?
Monitor price acceleration that signals unsustainable growth/movement .
Spot volatility, oscillations, extensions and compressions and exhaustion as the market nears critical instability and levels.
Combine with other indicators to help time entries and exits, manage risk as markets approach/consolidate/leave critical levels.
LPPL Critical Pulse (LPPLCP)
LPPLCP is based on LPPL principles that identify potential upward and downward market movements, exhaustion and consolidation periods.
Visualization
The LPPL line is smoothed using a moving average to reduce noise, and the result is scaled to fit within the price range of the past 100 bars, aligning the LPPL line with the price movements on the chart.
Dynamic LPPL Line Plot:
A smoothed and scaled LPPL line plotted directly on the price chart.
• Color-Coded Trend Analysis: The LPPL line changes color dynamically based on the conditions of slope and acceleration to reflect market behaviors such as period doubling or exhaustion.
1. White (Exhaustion/Consolidation Condition): Indicates that both the slope and the acceleration of the LPPL line are zero, suggesting a potential market flattening or exhaustion/consolidation. At the end of this period, a new trend may emerge OR the prior trend may reassert itself.
2. Purple (Period Doubling): This color appears when the LPPL model detects rapid changes in acceleration, indicating the potential for a market turning point (period doubling). The slope of the LPPL line during this period suggests whether the market is moving upward or downward.
3. Green (Positive Slope with Increasing Acceleration): A green LPPL line suggests that the market is in an upward trend, with increasing acceleration.
4. Red (Negative Slope with Decreasing Acceleration): A red LPPL line indicates a downward market trend with decreasing acceleration.
5. Yellow (Neutral): Yellow is the default color when none of the specific conditions (exhaustion, period doubling, positive/negative slope with acceleration) are met, i.e. generally a continuation of the prior condition but at a slower pace.
Customization for Any Market
LPPL Critical Pulse has application across most time frames for pretty much whatever you want to trade…stocks, commodities, currencies, futures, and more. You will have to tweak the inputs to optimize for the market(s) you choose to trade.
Inputs
1. Lookback Period for Adaptation
o Type: Integer
o Default: 1
o Description: Defines the lookback period for calculating the Simple Moving Average (SMA) and Standard Deviation (StDev) used in the LPPL model. A higher value smooths the calculations over a longer period.
2. Period Doubling Threshold
o Type: Float
o Default: 0.01
o Description: Determines the sensitivity for detecting period doubling in the LPPL line. A lower threshold increases sensitivity.
3. Flattening Threshold
o Type: Float
o Default: 0.01
o Description: This input is not actively used in the current version but can be modified for further customizations in the LPPL model.
4. Period Doubling Acceleration Threshold
o Type: Float
o Default: 0.02
o Description: This controls the threshold for detecting rapid changes in the LPPL acceleration, helping identify when period doubling occurs.
Calculation Components
The LPPL line is calculated using several components:
• SMA (A): The simple moving average of the closing prices over the selected lookback period.
• Standard Deviation (B, C): These parameters are calculated based on the standard deviation of prices and control the amplitude of the LPPL oscillations.
• Exponential Decay: The LPPL line decays as it approaches a theoretical critical time (tc), where market crashes or rapid changes may occur.
Disclaimer.
Not investment advice. Use at your own risk. Past results do not represent and are not indicative of future results
RSI/MFI Divergence Finder [idahodev]Monitoring RSI (Relative Strength Index) and MFI (Money Flow Index) divergences on a stock or index chart offers several benefits to traders and analysts. Let's break down the advantages:
Comprehensive Market View: Combining both indicators provides a more complete picture of market conditions, as they measure different aspects of price movement. RSI focuses on recent gains/losses relative to price change, while MFI incorporates volume data to assess money flow in and out of a security.
Enhanced Signal Accuracy: When divergences occur simultaneously in both RSI and MFI, it may be considered a stronger signal than if only one indicator showed divergence. This can potentially lead to more reliable trading decisions.
Identification of False Breakouts: Divergences between these indicators and price action can help identify false breakouts or misleading price movements that are not supported by underlying market strength or volume.
More Nuanced Market Understanding: By examining divergent behavior between money flow (MFI) and momentum (RSI), traders gain a more detailed comprehension of the interplay between these factors in shaping market trends.
Early Warning Signs: These divergences can act as early warning signs for potential trend reversals or changes in market sentiment, allowing traders to adjust their strategies proactively.
It's important to note that RSI/MFI divergences should be used as part of a broader trading strategy rather than solely relying on them for buy/sell signals. They can serve as valuable tools for confirming trends, identifying potential turning points, or warning against overbought/oversold conditions.
When using these indicators together, traders must be cautious of false signals, especially in choppy markets or during periods of high volatility. It's crucial to combine this analysis with other technical and fundamental factors before making trading decisions.
In summary, monitoring RSI/MFI divergences may offer a way to gain insights into the underlying strengths and weaknesses of market movements.
This utility differs from other in that it allows for a choke/threshold/sensitivity setting to help weed out noisy signals. This needs to be carefully adjusted per chart.
It also allows for tuning of the MFI smoothing length (number of bars on the current chart) as well as how many previous bars it will take into consideration when calculating RSI and MFI divergences. It will signal when it sees alignment forming between RSI and MFI divergences in a direction. You will likely need to tune this script's settings every few days or at least anytime there is a change in overall market behavior or sustained volatility.
Ultimately, the goal with this script is to provide an additional level of confirmation of weakness or strength. It should be combined with other indicators such as exhaustion, pivots, supply/demand, trendline breaks or tests, and structure changes, to name a few complementary tools or strategies. It's not meant to be a standalone buy/sell signal indicator!
Here are some settings for futures that may help you get started:
ES (4m chart)
RSI Length: 26
MFI Length: 8
MFI Smoothing Length: 32
Divergence Sensitivity: 124
Left Bars for Pivot: 10
Right Bars for Pivot: 1
NQ (4m chart)
RSI Length: 14
MFI Length: 14
MFI Smoothing Length: 21
Divergence Sensitivity: 400
Left Bars for Pivot: 21
Right Bars for Pivot: 1
YM (4m chart)
RSI Length: 14
MFI Length: 14
MFI Smoothing Length: 21
Divergence Sensitivity: 810
Left Bars for Pivot: 33
Right Bars for Pivot: 1
Industry Group Strength - IndiaPresenting the Industry Group Strength Indicator for India market, designed to help traders identify top-performing stocks within specific industry groups that are predefined.
⦿ Identifies Leading Stocks in Industry Groups
⦿ Analyses the following metrics
YTD Return : Measures stock performance from the start of the year.
RS Rating : Relative Strength rating for user-selected periods.
% Return : Percentage return over a user-selected lookback period.
Features
This indicator dynamically recognises the industry group of the current stock on the chart and ranks stocks within that group based on predefined data points. Traders can add this indicator to focus on top-performing stocks relative to their industry.
⦿ Color-coded for Easy Visualisation
You can choose from the following key metrics to rank stocks:
YTD Return
RS Rating
% Return
⦿ Table Format with Performance Metrics Compact mode
Vertical View
Horizontal View
All of the three metrics are shown in the compact mode and the current stock that is viewed is highlighted!
Vertical view
Horizontal view
Stock Ranking
Stocks are ranked based on their performance within industry groups, enabling traders to easily spot leaders and laggards in each sector. Color-coded gradients visually represent the stocks’ performance rankings, with higher percentile rankings indicating better performance.
Relative Strength (RS)
Relative Strength (RS) compares a stock’s performance against the benchmark index. The RS value is normalized from 1 to 99, making it easier to compare across different stocks. A rising RS value indicates that the stock is outperforming the market, helping traders quickly gauge relative performance within industry groups.
Limitations
At the time of developing this indicator, Pine requests are limited to 40 per script so the predefined symbols had to be filtered to 40 per Industry group
Stocks Filters
Filters that are used to filter the stocks in an Industry group to have maximum of 40 stocks
⦿ Auto, Chemical, Engineering, Finance, Pharma
Market Cap >= 1000 Crores and Market Cap <= 60000 Crores
Price >= 30 and Price <= 6000
50 Days Average ( Price * Volume ) >= 6 Crores
⦿ For rest of the Industry groups
Market Cap >= 1000 Crores and Market Cap <= 100000 Crores
Price >= 20 and Price <= 10000
50 Days Average ( Price * Volume ) >= 3 Crores
Credits
This indicator is forked from the Script for US market by @Amphibiantrading Thanks Brandon for the beginning of this indicator.
This indicator is built on TradingView’s new dynamic requests feature, thanks to @PineCoders for making this possible!
Cumulative Volume Delta Strategy | Flux Charts💎 GENERAL OVERVIEW
Introducing the Cumulative Volume Delta Strategy (CVDS) Indicator, an advanced tool designed to enhance trading strategies by identifying potential trend reversals through volume dynamics. This script features integrated order block detection, Fair Value Gaps (FVGs), and a dynamic take-profit (TP) and stop-loss (SL) system. For an in-depth understanding of the strategy, refer to the "HOW DOES IT WORK?" section below.
Features of the new Cumulative Volume Delta Strategy (CVDS) Indicator :
Cumulative Volume Delta-based Strategy
Order Block and Fair Value Gap (FVG) Entry Methods
Dynamic TP/SL System
Customizable Risk Management Settings
Alerts for Buy, Sell, TP, and SL Signals
📌 HOW DOES IT WORK ?
The CVDS indicator operates by tracking the net volume difference between buyers and sellers to identify divergences that could indicate potential trend reversals. A cumulative volume delta (CVD) calculation is employed to measure the intensity of these divergences in relation to price movements. The net volume sum is reset every trading day (can be changed from the settings using the anchor period option), and divergences are detected when the cumulative volume crosses the 0-line over or under.
Once a significant divergence is detected, the indicator identifies breakout points, confirmed by either Fair Value Gaps (FVGs) or Order Blocks (OBs). Depending on your chosen entry mode, the indicator will trigger a buy or sell entry when the confirmation signal aligns with the breakout direction. Alerts for Buy, Sell, Take-Profit, and Stop-Loss are available.
Note that the indicator cannot run on 1-minute and 1-second charts, as it needs to get data from a lower timeframe. 1-minutes & 1-second timeframes are the minimum timeframes in their ranges respectively.
🚩 UNIQUENESS
What sets this indicator apart is the combination of volume divergence analysis with advanced price action tools like Fair Value Gaps (FVGs) and Order Blocks (OBs). The ability to choose between these methods, along with a dynamic TP/SL system that adapts based on volatility, provides flexibility for traders in any market condition. The backtesting dashboard provides metrics about the performance of the indicator. You can use it to tune the settings for best use in the current ticker. The CVD-based strategy ensures that trades are initiated only when meaningful divergences between volume and price occur, filtering out noise and increasing the likelihood of profitable trades.
⚙️ SETTINGS
1. General Configuration
Anchor Period: Time anchor period used in CVD calculation. This is essentially the period that the volume delta sum will be reset. Lower timeframes may result in more entries at the cost of less reliable results.
Entry Mode: Choose between FVGs or OBs to trigger your entries based on the confirmation signals.
Retracement Requirement: Enable to confirm the entry after a retracement toward the FVG or OB.
2. Fair Value Gaps
FVG Sensitivity: Modify the sensitivity of FVG detection, allowing for more or fewer gaps to be considered valid.
3. Order Blocks (OB)
Swing Length: Define the swing length to identify OB formations. Shorter lengths find smaller OBs, while longer lengths detect larger structures.
4. TP / SL
TP / SL Method:
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk: The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
TrendWave EMA/VWAP IndicatorThe TrendWave EMA/VWAP Indicator is a powerful technical analysis tool designed for traders seeking to enhance their market strategies. By combining the dynamic Exponential Moving Average (EMA) and the Volume Weighted Average Price (VWAP), this indicator provides valuable insights into price trends and potential trading signals, allowing for informed decision-making in various market conditions.
Key Features:
Exponential Moving Average (EMA):
The EMA component helps traders identify the direction of the prevailing trend by giving more weight to recent price action. This responsiveness makes the EMA an essential tool for trend-following strategies.
Customizable Length: Users can adjust the EMA length (default set to 50 periods) to align with their specific trading style and preferences.
Volume Weighted Average Price (VWAP):
The VWAP is crucial for evaluating the average price of a security throughout the trading day, factoring in volume. It serves as a benchmark for price action and can help traders identify significant support and resistance levels.
Real-time Benchmarking: The VWAP enables traders to assess current prices against historical averages, improving their entry and exit strategies.
Signal Generation:
The TrendWave EMA/VWAP Indicator generates clear buy and sell signals based on the interaction between the price and the VWAP:
Bullish Signal: Triggered when the price crosses above the VWAP, indicating a potential upward movement.
Bearish Signal: Triggered when the price crosses below the VWAP, suggesting a potential downward movement.
These signals are visually represented with intuitive arrows on the chart, facilitating quick recognition of trading opportunities.
User-Friendly Interface:
The indicator allows traders to enable or disable components (EMA and VWAP) based on their preferences, ensuring a personalized trading experience.
Clear color coding enhances visual clarity: the EMA is displayed in blue, while the VWAP is shown in orange.
Use Cases:
Trend Following: Use the EMA to confirm the direction of the trend and make trades that align with that trend.
Price Action Analysis: Employ the VWAP to determine the average trading price and identify key support/resistance levels.
Signal Confirmation: Combine signals from both the EMA and VWAP to enhance trading strategies and decision-making.
The TrendWave EMA/VWAP Indicator is an essential addition to any trader's toolkit. By leveraging the strengths of both the EMA and VWAP, this indicator empowers traders to make informed, data-driven decisions and capitalize on market movements with confidence.
Aroon Oscillator [BigBeluga]Aroon Oscillator with Mean Reversion & Trend Signals is a versatile tool that helps traders identify both trend direction and potential mean reversion points. The core Aroon Oscillator tracks the strength of a trend by measuring how long it has been since a high or low price occurred within a specified period. This oscillator provides trend-following signals (LONG/SHORT) along with mean reversion signals, giving traders both the ability to ride trends and anticipate reversals.
The unique feature of this indicator is the Mean Reversion Signals, marked with dots on the main chart, indicating potential points where the trend might reverse or retrace. In addition, trend-following signals (LONG and SHORT) are plotted directly on the chart, providing clear entry and exit points when a trend is beginning or ending.
🔵 IDEA
The Aroon Oscillator with Mean Reversion indicator provides a combined approach of trend analysis and mean reversion. The core idea is to track the health and momentum of trends, while also identifying when those trends might reverse or slow down. This dual approach allows traders to both follow the prevailing market direction and also capture mean reversion opportunities.
The oscillator is smoothed with John Ehlers' Zero Lag function , which helps reduce noise and improves signal clarity by removing lag without sacrificing the indicator's responsiveness.
The indicator uses color-coded signals and an easy-to-read oscillator to visually represent different types of signals on the chart. This makes it easy for traders to spot important changes in market trends and take action based on both the trend-following and mean reversion aspects of the indicator.
🔵 KEY FEATURES & USAGE
Trend Following Signals (LONG/SHORT):
In addition to mean reversion signals, the indicator also provides clear trend-following signals. LONG signals (green arrows) are plotted when the oscillator crosses above zero, indicating a potential uptrend. Conversely, SHORT signals (blue arrows) are plotted when the oscillator crosses below zero, signaling a potential downtrend.
Mean Reversion Signals:
This indicator features unique mean reversion signals, represented by dots on the main chart. These signals occur when the oscillator crosses over or under a smoother signal line, indicating that the current trend might be losing strength and a reversal or retracement is possible. Green dots represent a possible upward reversion, while blue dots signal a potential downward reversion.
Color-Coded Signals and Oscillator:
The Aroon Oscillator is color-coded to make it visually easier for traders to differentiate between trends and mean reversion signals. When the oscillator is above zero, the area is filled with green, and when it is below zero, the area is filled with blue. This visual representation helps traders quickly identify the current market condition at a glance.
🔵 CUSTOMIZATION
Aroon Length & Smoothing: Control the sensitivity of the Aroon Oscillator by adjusting the lookback period and smoothing settings, allowing traders to fine-tune the indicator to match different market conditions.
Mean Reversion Signals: Enable or disable mean reversion signals based on your trading preferences. Adjust the signal line length to control when these reversal signals are triggered.
Color Customization: Customize the colors for the oscillator and signals to match your chart’s color scheme for better visual clarity.
Dynamic Score PSAR [QuantAlgo]Dynamic Score PSAR 📈🧬
The Dynamic Score PSAR by QuantAlgo introduces an innovative approach to trend detection by utilizing a dynamic trend scoring technique in combination with the Parabolic SAR. This method goes beyond traditional trend-following indicators by evaluating market momentum through a scoring system that analyzes price behavior over a customizable window. By dynamically adjusting to evolving market conditions, this indicator provides clearer, more adaptive trend signals that help traders and investors anticipate market reversals and capitalize on momentum shifts with greater precision.
💫 Conceptual Foundation and Innovation
At the core of the Dynamic Score PSAR is the dynamic trend score system, which assesses price movements by comparing normalized PSAR values across a range of historical data points. This dynamic trend scoring technique offers a unique, probabilistic approach to trend analysis by evaluating how the current market compares to past price movements. Unlike traditional PSAR indicators that rely on static parameters, this scoring mechanism allows the indicator to adjust in real time to market fluctuations, offering traders and investors a more responsive and insightful view of trends. This innovation makes the Dynamic Score PSAR particularly effective in detecting shifts in momentum and potential reversals, even in volatile or complex market environments.
✨ Technical Composition and Calculation
The Dynamic Score PSAR is composed of several advanced components designed to provide a higher probability of detecting accurate trend shifts. The key innovation lies in the dynamic trend scoring technique, which iterates over historical PSAR values and evaluates price momentum through a dynamic scoring system. By comparing the current normalized PSAR value with previous data points over a user-defined window, the system generates a score that reflects the strength and direction of the trend. This allows for a more refined and responsive detection of trends compared to static, traditional indicators.
To enhance clarity, the PSAR values are normalized against an Exponential Moving Average (EMA), providing a standardized framework for comparison. This normalization ensures that the indicator adapts dynamically to market conditions, making it more effective in volatile markets. The smoothing process reduces noise, helping traders and investors focus on significant trend signals.
Additionally, users can adjust the length of the data window and the sensitivity thresholds for detecting uptrends and downtrends, providing flexibility for different trading and investing environments.
📈 Features and Practical Applications
Customizable Window Length: Adjust the window length to control the indicator’s sensitivity to recent price movements. This provides flexibility for short-term or long-term trend analysis.
Uptrend/Downtrend Thresholds: Set customizable thresholds for identifying uptrends and downtrends. These thresholds define when trend signals are triggered, offering adaptability to different market conditions.
Bar Coloring and Gradient Visualization: Visual cues, including color-coded bars and gradient fills, make it easier to interpret market trends and identify key moments for potential trend reversals.
Momentum Confirmation: The dynamic trend scoring system evaluates price action over time, providing a probabilistic measure of market momentum to confirm the strength and direction of a trend.
⚡️ How to Use
✅ Add the Indicator: Add the Dynamic Score PSAR to your favourites, then to your chart and adjust the PSAR settings, window length, and trend thresholds to match your preferences. Customize the sensitivity to price movements by tweaking the window length and thresholds for different market conditions.
👀 Monitor Trend Shifts: Watch for trend changes as the normalized PSAR values cross key thresholds, and use the dynamic score to confirm the strength and direction of trends. Bar coloring and background fills visually highlight key moments for trend shifts, making it easier to spot reversals.
🔔 Set Alerts: Configure alerts for significant trend crossovers and reversals, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts.
🌟 Summary and Usage Tips
The Dynamic Score PSAR by QuantAlgo is a powerful tool that combines traditional trend-following techniques with the flexibility of a dynamic trend scoring system. This innovative approach provides clearer, more adaptive trend signals, reducing the risk of false entries and exits while helping traders and investors capture significant market moves. The ability to adjust the indicator’s sensitivity and thresholds makes it versatile across different trading and investing environments, whether you’re focused on short-term pivots or long-term trend reversals. To maximize its effectiveness, fine-tune the sensitivity settings based on current market conditions and use the visual cues to confirm trend shifts.
Multi-Timeframe SMA Plot**Introducing the Multi-Timeframe SMA Plot**
This script is designed to help traders easily visualize multiple Simple Moving Averages (SMAs) across different timeframes, all on a single chart. The Multi-Timeframe SMA Plot allows you to configure up to three different SMAs with customizable lengths, timeframes, colors, line styles, and line thicknesses, providing a versatile tool to analyze market trends in various granularities.
**Key Features**:
1. **Multiple SMA Timeframes**: You can plot SMAs from different timeframes like 15 minutes, 1 hour, daily, weekly, and more, enabling a comprehensive perspective of market movements.
2. **Fully Customizable**: Each SMA comes with options to adjust the length, timeframe, color, line style (solid, dashed, or dotted), and thickness, giving you control over how you visualize trend data.
3. **User-Friendly Inputs**: The script provides intuitive input fields that make it easy to adjust the settings without diving into the code, making it suitable for both beginner and advanced traders.
**How to Use**:
- Select the desired length and timeframe for each SMA (e.g., 50-period SMA on a 1-hour chart).
- Customize the line style and color to match your chart's theme or make distinctions between each SMA.
- Analyze how different SMAs align or cross over time to identify potential support, resistance, or trend changes.
The Multi-Timeframe SMA Plot is ideal for traders who rely on moving averages to gauge trend strength, direction, and potential entry or exit points. By having multiple SMAs from different timeframes on one chart, you can better understand the overall market sentiment and make more informed decisions.
Give this script a try and streamline your technical analysis with clear, customizable SMA lines!
**Code**: Check out the full script and start customizing it to fit your trading style. Your feedback is always welcome!
Altcoins vs BTC Market Cap HeatmapAltcoins vs BTC Market Cap Heatmap
"Ground control to major Tom" 🌙 👨🚀 🚀
This indicator provides a visual heatmap for tracking the relationship between the market cap of altcoins (TOTAL3) and Bitcoin (BTC). The primary goal is to identify potential market cycle tops and bottoms by analyzing how the TOTAL3 market cap (all cryptocurrencies excluding Bitcoin and Ethereum) compares to Bitcoin’s market cap.
Key Features:
• Market Cap Ratio: Plots the ratio of TOTAL3 to BTC market caps to give a clear visual representation of altcoin strength versus Bitcoin.
• Heatmap: Colors the background red when altcoins are overheating (TOTAL3 market cap equals or exceeds BTC) and blue when altcoins are cooling (TOTAL3 market cap is half or less than BTC).
• Threshold Levels: Includes horizontal lines at 1 (Overheated), 0.75 (Median), and 0.5 (Cooling) for easy reference.
• Alerts: Set alert conditions for when the ratio crosses key levels (1.0, 0.75, and 0.5), enabling timely notifications for potential market shifts.
How It Works:
• Overheated (Ratio ≥ 1): Indicates that the altcoin market cap is on par or larger than Bitcoin's, which could signal a top in the cycle.
• Cooling (Ratio < 0.5): Suggests that the altcoin market cap is half or less than Bitcoin's, potentially signaling a market bottom or cooling phase.
• Median (Ratio ≈ 0.75): A midpoint that provides insight into the market's neutral zone.
Use this tool to monitor market extremes and adjust your strategy accordingly when the altcoin market enters overheated or cooling phases.
Wolfpack Elite - Liquidation Sniper - by 9123416916### Strategy: **Wolfpack Elite - Liquidation Sniper by Md Arif**
**Overview:**
This is a technical analysis strategy designed for trading, which combines two popular technical indicators: **Relative Strength Index (RSI)** and **Moving Averages (MA)**. It identifies potential buy (long) and sell (short) signals based on oversold and overbought conditions in the market, along with crossovers between two moving averages. The strategy also incorporates a risk management system by setting **take profit** and **stop loss** levels to protect against large losses and lock in gains.
---
**Key Components:**
1. **Indicators Used:**
- **RSI (Relative Strength Index):**
- Measures the speed and change of price movements.
- Used to identify **overbought** (above 70) and **oversold** (below 30) conditions.
- **Short and Long Moving Averages:**
- The strategy uses two simple moving averages (SMA) to detect trends and potential entry points.
- Short MA (9-period) and Long MA (21-period) are used for crossovers.
2. **Entry Signals:**
- **Bullish Entry (Long Position):**
- Triggered when the RSI falls below the oversold level (30) and the **short MA** crosses above the **long MA** (bullish crossover).
- This suggests that the market might be oversold and ready to rebound.
- **Bearish Entry (Short Position):**
- Triggered when the RSI rises above the overbought level (70) and the **short MA** crosses below the **long MA** (bearish crossover).
- This suggests that the market might be overbought and due for a correction.
3. **Risk Management:**
- **Take Profit and Stop Loss:**
- The strategy calculates the take profit and stop loss levels as percentages of the entry price.
- **Take Profit:** Set at 5% above the entry price for long positions and 5% below the entry price for short positions.
- **Stop Loss:** Set at 3% below the entry price for long positions and 3% above the entry price for short positions.
4. **Position Sizing:**
- The position size is calculated as a percentage of the trader's total equity (default set to 100% of equity).
5. **Exit Conditions:**
- **For Long Positions:**
- Exit the trade if the price hits the take profit level (5% above entry) or the stop loss level (3% below entry).
- **For Short Positions:**
- Exit the trade if the price hits the take profit level (5% below entry) or the stop loss level (3% above entry).
6. **Visualization:**
- The strategy visually plots the short and long moving averages on the chart.
- It also marks **bullish crossovers** with green upward triangles and **bearish crossovers** with red downward triangles, making it easier to spot potential entry points.
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**How the Strategy Works:**
- The strategy starts by calculating the **RSI** and **moving averages**.
- It waits for specific conditions to trigger buy or sell signals. If the RSI indicates that the market is oversold and a bullish crossover occurs, it initiates a **long trade**. Similarly, if the RSI shows an overbought condition and a bearish crossover occurs, it opens a **short trade**.
- Once a trade is open, the strategy monitors the price and automatically exits the trade if the price reaches the set take profit or stop loss level.
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This strategy is designed for active traders who seek to capitalize on short-term price movements and want clear entry/exit points with built-in risk management.
ORB Daily 10 min (9:30am-3pm)This script implements the Opening Range Breakout (ORB) strategy for the New York trading session, specifically from 9:30 AM to 3:00 PM (Eastern Time). It identifies the high and low of the first 10 minutes (the first two 5-minute candles) after the market opens and draws a box representing this range. The box remains on the chart throughout the day until 3:00 PM. This strategy is useful for traders looking to trade breakouts of the opening range, often indicating potential trends or reversals.
