BTC x M2 Divergence (Weekly)### Why the "M2 Money Supply vs BTC Divergence with Normalized RSI" Indicator Should Work
IMPORTANT
- Weekly only indicator
- Combine it with BTC Halving Cycle Profit for better results
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator leverages the relationship between macroeconomic factors (M2 money supply) and Bitcoin price movements, combined with technical analysis tools like RSI, to provide actionable trading signals. Here's a detailed rationale on why this indicator should be effective:
1. **Macroeconomic Influence**:
- **M2 Money Supply**: Represents the total money supply, including cash, checking deposits, and easily convertible near money. Changes in M2 reflect liquidity in the economy, which can influence asset prices, including Bitcoin.
- **Bitcoin Sensitivity to Liquidity**: Bitcoin, being a digital asset, often reacts to changes in liquidity conditions. An increase in money supply can lead to higher asset prices as more money chases fewer assets, while a decrease can signal tightening conditions and lower prices.
2. **Divergence Analysis**:
- **Economic Divergence**: The indicator calculates the divergence between the percentage changes in M2 and Bitcoin prices. This divergence can highlight discrepancies between Bitcoin's price movements and broader economic conditions.
- **Market Inefficiencies**: Large divergences may indicate inefficiencies or imbalances that could lead to price corrections or trends. For example, if M2 is increasing (indicating more liquidity) but Bitcoin is not rising proportionately, it might suggest a potential upward correction in Bitcoin's price.
3. **Normalization and Smoothing**:
- **Normalized Divergence**: Normalizing the divergence to a consistent scale (-100 to 100) allows for easier comparison and interpretation over time, making the signals more robust.
- **Smoothing with EMA**: Applying Exponential Moving Averages (EMAs) to the normalized divergence helps to reduce noise and identify the underlying trend more clearly. This double-smoothed divergence provides a clearer signal by filtering out short-term volatility.
4. **RSI Integration**:
- **RSI as a Momentum Indicator**: RSI measures the speed and change of price movements, indicating overbought or oversold conditions. Normalizing the RSI and incorporating it into the divergence analysis helps to confirm the strength of the signals.
- **Combining Divergence with RSI**: By using RSI in conjunction with divergence, the indicator gains an additional layer of confirmation. For instance, a bullish divergence combined with an oversold RSI can be a strong buy signal.
5. **Dynamic Zones and Sensitivity**:
- **Good DCA Zones**: Highlighting zones where the divergence is significantly positive (good DCA zones) indicates periods where Bitcoin might be undervalued relative to economic conditions, suggesting good buying opportunities.
- **Red Zones**: Marking zones with extremely negative divergence, combined with RSI confirmation, identifies potential market tops or bearish conditions. This helps traders avoid buying into overbought markets or consider selling.
- **Peak Detection**: The sensitivity setting for detecting upside down peaks allows for early identification of potential market bottoms, providing timely entry points for traders.
6. **Visual Cues and Alerts**:
- **Clear Visualization**: The plots and background colors provide immediate visual feedback, making it easier for traders to spot significant conditions without deep analysis.
- **Alerts**: Built-in alerts for key conditions (good DCA zones, red zones, sell signals) ensure traders can act promptly based on the indicator's signals, enhancing the practicality of the tool.
### Conclusion
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator integrates macroeconomic data with technical analysis to offer a comprehensive view of Bitcoin's market conditions. By analyzing the divergence between M2 money supply and Bitcoin prices, normalizing and smoothing the data, and incorporating RSI for momentum confirmation, the indicator provides robust signals for identifying potential buying and selling opportunities. This holistic approach increases the likelihood of capturing significant market movements and making informed trading decisions.
Bands and Channels
MAC Investor V3.0 [VK]This indicator combines multiple functionalities to assist traders in making informed decisions. It primarily uses Heikin Ashi candles, Moving Averages, and a Price Action Channel (PAC) to provide signals for entering and exiting trades. Here's a detailed breakdown:
Inputs
MAC Length: Sets the length for the PAC calculation.
Use Heikin Ashi Candles: Option to use Heikin Ashi candles for calculations.
Show Coloured Bars around MAC: Option to color bars based on their relation to the PAC.
Show Long/Short Signals: Options to display long and short signals.
Show MAs? : Option to show moving averages on the chart.
Show MAs Trend at the Bottom?: Option to show trend signals at the bottom of the chart.
MA Lengths: Length settings for three different moving averages.
Change MA Color Based on Direction?: Option to change the color of moving averages based on trend direction.
MA Higher TimeFrame: Allows setting a higher timeframe for moving averages.
Show SL-TP Lines: Option to display Stop Loss and Take Profit lines.
SL/TP Percentages: Set the percentages for Stop Loss and three levels of Take Profit.
Calculations and Features
Heikin Ashi Candles: Calculations are based on Heikin Ashi candle data if selected.
Price Action Channel (PAC): Uses Exponential Moving Averages (EMA) of the high, low, and close to create a channel.
Bar Coloring: Colors the bars based on their position relative to the PAC.
Long and Short Signals: Uses crossovers of the close price and PAC upper/lower bands to generate signals.
Moving Averages (MA): Plots three moving averages and colors them based on their trend direction.
Overall Trend Indicators: Uses triangles at the bottom of the chart to show the overall trend of the MAs.
Stop Loss and Take Profit Levels: Calculates and plots these levels based on user-defined percentages from the entry price.
Alerts: Provides alerts for long and short signals.
Use Cases and How to Use
Identifying Trends: The PAC helps to identify the trend direction. If the closing price is above the PAC upper band, it suggests an uptrend; if below the lower band, it suggests a downtrend.
Entering Trades: Use the long and short signals to enter trades. A long signal is generated when the closing price crosses above the PAC upper band, and a short signal is generated when it crosses below the PAC lower band.
Exit Strategies: Utilize the Stop Loss (SL) and Take Profit (TP) levels to manage risk and lock in profits. These levels are automatically calculated based on the entry price and user-defined percentages.
Trend Confirmation with MAs: The moving averages provide additional confirmation of the trend. When all three MAs are trending in the same direction (e.g., all green for an uptrend), it adds confidence to the trade signal.
Overall Trend Indicators: The triangles at the bottom of the chart show the overall trend direction of the MAs:
Green Triangle: All three MAs are trending upwards, indicating a strong uptrend.
Red Triangle: All three MAs are trending downwards, indicating a strong downtrend.
Yellow Triangle: Mixed signals from the MAs, indicating no clear trend.
Bar Coloring for Quick Analysis: The colored bars give a quick visual cue about the market condition, aiding in faster decision-making.
Alerts: Set up alerts to get notified when a long or short signal is generated, allowing you to act promptly without constantly monitoring the chart.
Maximizing Profit
To maximize profit with this indicator:
Follow the Signals: Use the long and short signals to time your entries. Ensure you follow the trend indicated by the PAC and MAs.
Risk Management: Always set your Stop Loss and Take Profit levels to manage risk. This will help you cut losses early and secure profits.
Confirm with MAs: Look for confirmation from the moving averages. When all MAs align with the signal, it indicates a stronger trend.
Overall Trend Indicators: Pay attention to the triangles at the bottom for overall trend confirmation. Only enter trades when the overall trend is in your favor.
Heikin Ashi for Smoothing: Use Heikin Ashi candles for smoother trends and fewer false signals.
Backtesting: Test the indicator on historical data to understand its performance and adjust settings as necessary.
Adapt to Market Conditions: Adjust the lengths of PAC and MAs based on the market's volatility and timeframe you are trading on.
How to Use the Indicator
Add to Chart: Add the indicator to your TradingView chart.
Configure Settings: Customize the input settings to fit your trading strategy and timeframe.
Monitor Signals: Watch for long and short signals and observe the trend direction with the PAC and MAs.
Check Overall Trend: Look at the triangles at the bottom of the chart to see the overall trend direction of the MAs.
Set Alerts: Configure alerts to get notified of new signals.
Manage Trades: Use the SL and TP levels to manage your trades effectively.
Log Regression Channel [UAlgo]The "Log Regression Channel " channel is useful for analyzing price trends and volatility in a financial instrument over a specified period. By using logarithmic scaling, this indicator can more effectively handle the wide range of price movements seen in many financial markets, making it particularly valuable for assets with exponential growth characteristics.
The indicator plots the central regression line along with upper and lower deviation bands, providing a visual representation of potential support and resistance levels.
🔶 Key Features
Logarithmic Regression Line: The central line represents the logarithmic regression, which fits the price data over the specified length using a logarithmic scale. This helps in identifying the overall trend direction.
Deviation Bands: The upper and lower bands are plotted at a specified multiple of the standard deviation from the regression line, highlighting areas of potential overbought and oversold conditions.
Customizable Parameters: Users can adjust the length of the regression, the deviation multiplier, the color of the labels, and the size of the text labels to suit their preferences.
R-Squared Display: The R-squared value, which measures the goodness of fit of the regression model, is displayed on the chart. This helps traders assess the reliability of the regression line.
🔶 Calculations
The indicator performs several key calculations to plot the logarithmic regression channel:
Logarithmic Transformation: The prices and time indices are transformed using the natural logarithm to handle exponential growth in price data.
Regression Coefficients: The slope and intercept of the regression line are calculated using the least squares method on the transformed data.
Predicted Values: The regression equation is used to calculate predicted values for each data point.
Standard Deviation: The standard deviation of the residuals (differences between actual and predicted values) is computed to determine the width of the deviation bands.
Deviation Bands: Upper and lower bands are plotted at a specified multiple of the standard deviation above and below the regression line.
R-Squared Value: The R-squared value is calculated to measure how well the regression line fits the data. This value is displayed on the chart to inform the user of the model's reliability.
🔶 Disclaimer
The "Log Regression Channel " indicator is provided for educational and informational purposes only.
It is not intended as investment advice or a recommendation to buy or sell any financial instrument. Trading financial instruments involves substantial risk and may not be suitable for all investors.
Past performance is not indicative of future results. Users should conduct their own research.
Equal Highs and LowsDescription:
The ‘Equal Highs and Lows’ indicator is a technical analysis tool that marks identical price levels on a trading chart using the current time-frame, assisting traders in identifying potential support and resistance zones or liquidity draws. It creates a horizontal line connecting points where the price has created equal highs and lows within a specified lookback period. Unique to this tool, it maintains a clean chart by removing the line once the price surpasses the equal highs or falls below the equal lows, ensuring only the currently relevant equal highs and lows are highlighted.
Features:
Customization Options: Users can adjust the appearance of the lines (color, width, and style) to match their chart setup or preferences. Users can also choose to extend the lines marking the equal highs/lows to the right of the chart making the equal high/low levels more easier to visualize.
User-Defined Lookback Length: The number of bars to look back for finding equal highs and lows can be set by the user, allowing for flexibility in different market conditions.
How It Works:
The indicator meticulously scans the chart over a user-specified lookback duration, identifying bars with matching high or low values that have not been mitigated on the current chat timeframe, thereby constructing an index of equal values. It subsequently connects these equal values on the chart with a line. While this intuitive indicator does not forecast future market trends, it emphasizes significant price levels derived from historical data.
Usage:
Identifying Support and Resistance: The lines drawn by the indicator can be used to identify potential support and resistance zones and/or draws of liquidity, which are crucial for making informed trading decisions.
Strategy Development: Traders can incorporate the visual cues provided by the indicator into their trading strategies, using them as one of the factors for entry or exit decisions.
Originality:
This indicator presents a distinctive method for pinpointing and illustrating equal highs and lows, granting traders a crucial insight into key price levels. It stands apart from conventional indicators by offering extensive personalization and employing a novel approach to augment chart analysis. Uniquely, it retains only unmitigated equal high/low levels on the chart, automatically discarding mitigated price levels once the price has reached that level.
Conclusion:
The "Equal Highs and Lows" indicator is a practical tool for traders looking to enhance their chart analysis with visual cues of significant price levels. Its customization options and innovative approach make it a valuable addition to the trading toolkit, suitable for various trading styles and strategies.
Multiple Moving Averages, Bollinger Bands, VWAP Options - Lett5 simple moving averages.
You decide:
1. The type of moving average
2. The length of the moving average
3. To show Bollinger Bands
4. To show VWAP.
Azmi Moving AveragesThis trading indicator, designed using Pine Script, incorporates two simple moving averages (SMAs) with the same length but different data sources. Here's a detailed description of the indicator:
### Indicator Overview
**Name:** Two Moving Averages
### Inputs
1. **Length (20):** The period over which the moving averages are calculated. Both moving averages use a length of 20 periods.
2. **Source:**
- **High:** The first moving average is calculated using the high prices of the candles.
- **Low:** The second moving average is calculated using the low prices of the candles.
### Calculations
1. **MA High (maHigh):** This is the simple moving average of the high prices over the specified length (20 periods). It smooths the high prices over time, showing the average high price trend.
2. **MA Low (maLow):** This is the simple moving average of the low prices over the same length (20 periods). It smooths the low prices over time, showing the average low price trend.
### Plotting
- **MA High (Blue Line):** This line represents the moving average of the high prices. It is plotted in blue with a line width of 2.
- **MA Low (Red Line):** This line represents the moving average of the low prices. It is plotted in red with a line width of 2.
### Interpretation
1. **Trend Identification:**
- **Bullish Trend:** When the MA High is above the MA Low, it generally indicates a bullish trend, as the average high prices are higher than the average low prices.
- **Bearish Trend:** When the MA High is below the MA Low, it suggests a bearish trend, as the average high prices are lower than the average low prices.
2. **Support and Resistance:**
- The MA High can act as a dynamic resistance level, where the price may face selling pressure.
- The MA Low can act as a dynamic support level, where the price may find buying interest.
3. **Price Channels:**
- The area between the MA High and MA Low creates a channel that can help traders visualize the range within which the price is fluctuating. This channel can be used to identify potential breakout or breakdown points.
### Example Usage
- **Buy Signal:** A potential buy signal may occur when the price crosses above both the MA High and MA Low, indicating a possible upward trend.
- **Sell Signal:** A potential sell signal may occur when the price crosses below both the MA High and MA Low, indicating a possible downward trend.
This indicator provides a visual representation of the average high and low prices, helping traders identify trends, potential support and resistance levels, and price channels for better trading decisions.
Psychological Lines
**The Option Chain Shows Strike Price Levels per Index Option**
- **Bank Nifty Index:** 100-point difference or gap between two strike prices.
- **Nifty 50 Index:** 50-point difference or gap between two strike prices.
- **FinNifty 50 Index:** 50-point difference or gap between two strike prices.
**Importance of These Levels:**
- When prices trade at these levels, the option premium either increases or decreases.
- Round numbers always affect option prices.
- Psychological round numbers have a significant impact and act as support and resistance.
- More strangle or straddle positions are created at these levels.
- More call writers or put writers trade at these levels.
**Benefits of Plotting Levels on Charts:**
- Having levels to plot on the chart is always helpful while trading and aids in taking trade positions accordingly.
**Indicator Features:**
- Helps users with various functionalities.
- Allows users to plot lines as needed and adjust the gap between lines as per requirements or option strikes.
- User input to show the number of lines on the chart.
- Tooltip on each level, indicating the current price (LTP) and the difference in points from the LTP.
- Simple to use.
- User-friendly.
- Enhances trading experience with the help of lines.
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Jikdi Double EMA and 200 EMA Double EMA and 200 EMA Indicator
Overview:
The Double EMA and 200 EMA indicator combines two exponential moving averages (EMA) to provide insights into short-term and longer-term trends in a financial instrument's price movements.
Components:
Double EMA:
Calculation: The Double EMA is derived by applying the EMA formula twice to a given price series. First, an EMA is calculated based on a specified length (parameter). Then, a second EMA is computed on the first EMA result, resulting in a smoother moving average that reacts more quickly to recent price changes compared to a single EMA.
Purpose: The Double EMA helps traders identify short-term trends by smoothing out price fluctuations, making it easier to spot potential entry and exit points based on momentum shifts.
200 EMA:
Calculation: The 200 EMA is calculated by applying the EMA formula to the closing prices of the financial instrument over a longer period, typically 200 periods.
Purpose: The 200 EMA is widely used by traders and analysts to assess the long-term trend direction of an asset. It acts as a key support or resistance level and is considered significant in determining the overall market sentiment and potential reversals.
Usage:
Short-term Trading: Traders use the Double EMA to identify short-term trends and trade opportunities. When the Double EMA crosses above the price, it may signal a bullish trend, while a cross below the price could indicate a bearish trend.
Long-term Analysis: The 200 EMA serves as a reference for long-term trend analysis. Prices trading above the 200 EMA suggest a bullish bias, while trading below it indicates a bearish sentiment.
Interpretation:
Crossovers: Crosses between the Double EMA and the 200 EMA or crosses of the Double EMA with the price can be potential signals for entry or exit positions, depending on the trading strategy employed.
Trend Confirmation: Traders often look for confluence between short-term (Double EMA) and long-term (200 EMA) trends to confirm the strength of a trend or to identify potential reversals.
Conclusion:
The Double EMA and 200 EMA indicator provides a comprehensive view of both short-term momentum and longer-term trend direction. By combining these moving averages, traders can make informed decisions based on the dynamics of price movements and trend confirmations.
DeQuex Algo BISTIntroduction:
The DeQuex Algo is an advanced technical analysis tool designed to help traders identify high-probability entry and exit points in the Borsa Istanbul (BIST) market. This updated version incorporates an adaptive MACD to reduce false signals and improve the overall reliability of the indicator.
Key Features:
1. Adaptive MACD: The script utilizes an adaptive MACD that dynamically adjusts to market volatility, reducing the occurrence of false signals often associated with traditional MACD implementations.
2. RSI Confirmation: In addition to the adaptive MACD, the DeQuex Algo also considers RSI readings to provide stronger confirmation for buy and sell signals.
3. Signal Types:
- Buy Signal: Triggered when the adaptive MACD crosses above its signal line.
- Sell Signal: Triggered when the adaptive MACD crosses below its signal line.
- Strong Buy Signal: Triggered when both the adaptive MACD and RSI cross above their respective thresholds, indicating a high-probability bullish setup.
- Strong Sell Signal: Triggered when both the adaptive MACD and RSI cross below their respective thresholds, indicating a high-probability bearish setup.
4. Price Bar Highlighting: The script color-codes price bars to provide a visual representation of the current trend. Green bars indicate an uptrend, red bars indicate a downtrend, and purple bars signify a period of consolidation or uncertainty. This feature allows traders to quickly assess the market context at a glance.
5. Customizable Alerts: Users can enable alerts for each signal type, ensuring they never miss a potential trading opportunity.
6. Dynamic Support and Resistance: The DeQuex Algo incorporates dynamic support and resistance levels based on market volatility. These levels are plotted using an innovative approach that combines Donchian channels with a Kalman filter for smoother, more reliable zones.
7. User-Friendly Inputs: The script provides a range of input parameters, allowing traders to fine-tune the indicator's sensitivity and adapt it to their preferred trading style and timeframe.
How to Use:
1. Add the DeQuex Algo indicator to your TradingView chart.
2. Customize the input parameters as desired, or use the default settings.
3. Enable alerts for your preferred signal types.
4. Look for buy and sell signals based on the adaptive MACD and RSI readings, paying attention to the color-coded price bars for additional context.
5. Consider the dynamic support and resistance levels when planning your entries, exits, and stop-loss placements.
Please note that while the DeQuex Algo is designed to identify high-probability setups, no indicator is perfect, and false signals may still occur. Always use proper risk management and consider other factors, such as market sentiment and fundamental analysis, when making trading decisions.
We hope that the DeQuex Algo will be a valuable addition to your trading toolbox, and we welcome any feedback or suggestions for further improvement.
Best regards,
BrandonJames1337
TR:
İşte güncellenmiş DeQuex Algo göstergeniz için önerilen bir açıklama:
Giriş:
DeQuex Algo, yatırımcıların Borsa İstanbul (BIST) piyasasında yüksek olasılıklı giriş ve çıkış noktalarını belirlemelerine yardımcı olmak için tasarlanmış gelişmiş bir teknik analiz aracıdır. Bu güncellenmiş sürüm, yanlış sinyalleri azaltmak ve göstergenin genel güvenilirliğini artırmak için uyarlanabilir bir MACD içerir.
Temel Özellikler:
1. Uyarlanabilir MACD: Komut dosyası, piyasa oynaklığına dinamik olarak ayarlanan ve genellikle geleneksel MACD uygulamalarıyla ilişkili yanlış sinyallerin oluşumunu azaltan uyarlanabilir bir MACD kullanır.
2. RSI Onayı: Uyarlanabilir MACD'ye ek olarak DeQuex Algo, alım ve satım sinyalleri için daha güçlü onay sağlamak üzere RSI okumalarını da dikkate alır.
3. Sinyal Türleri:
- Alış Sinyali: Uyarlanabilir MACD sinyal çizgisinin üzerine çıktığında tetiklenir.
- Satış Sinyali: Uyarlanabilir MACD sinyal çizgisinin altından geçtiğinde tetiklenir.
- Güçlü Alış Sinyali: Hem uyarlanabilir MACD hem de RSI kendi eşiklerinin üzerine çıktığında tetiklenir ve yüksek olasılıklı bir yükseliş düzenine işaret eder.
- Güçlü Satış Sinyali: Hem uyarlanabilir MACD hem de RSI kendi eşiklerinin altına düştüğünde tetiklenir ve yüksek olasılıklı bir düşüş düzenine işaret eder.
4. Fiyat Çubuğu Vurgulama: Komut dosyası, mevcut eğilimin görsel bir temsilini sağlamak için fiyat çubuklarını renk kodlarıyla kodlar. Yeşil çubuklar yükseliş trendini, kırmızı çubuklar düşüş trendini ve mor çubuklar ise konsolidasyon veya belirsizlik dönemini gösterir. Bu özellik, yatırımcıların piyasa bağlamını bir bakışta hızlı bir şekilde değerlendirmelerine olanak tanır.
5. Özelleştirilebilir Uyarılar: Kullanıcılar her sinyal türü için uyarıları etkinleştirerek potansiyel bir alım satım fırsatını asla kaçırmamalarını sağlayabilir.
6. Dinamik Destek ve Direnç: DeQuex Algo, piyasa oynaklığına dayalı dinamik destek ve direnç seviyeleri içerir. Bu seviyeler, daha yumuşak ve daha güvenilir bölgeler için Donchian kanallarını Kalman filtresiyle birleştiren yenilikçi bir yaklaşım kullanılarak çizilir.
7. Kullanıcı Dostu Girişler: Komut dosyası, yatırımcıların göstergenin hassasiyetini ince ayarlamalarına ve tercih ettikleri ticaret tarzına ve zaman dilimine uyarlamalarına olanak tanıyan bir dizi giriş parametresi sağlar.
Nasıl Kullanılır:
1. DeQuex Algo göstergesini TradingView grafiğinize ekleyin.
2. Giriş parametrelerini istediğiniz gibi özelleştirin veya varsayılan ayarları kullanın.
3. Tercih ettiğiniz sinyal türleri için uyarıları etkinleştirin.
4. Ek bağlam için renk kodlu fiyat çubuklarına dikkat ederek uyarlanabilir MACD ve RSI okumalarına dayalı alım ve satım sinyallerini arayın.
5. Girişlerinizi, çıkışlarınızı ve stop-loss yerleşimlerinizi planlarken dinamik destek ve direnç seviyelerini göz önünde bulundurun.
DeQuex Algo yüksek olasılıklı kurulumları belirlemek için tasarlanmış olsa da, hiçbir göstergenin mükemmel olmadığını ve yine de yanlış sinyallerin oluşabileceğini lütfen unutmayın. Alım satım kararları verirken her zaman uygun risk yönetimini kullanın ve piyasa duyarlılığı ve temel analiz gibi diğer faktörleri göz önünde bulundurun.
DeQuex Algo'nun ticaret araç kutunuza değerli bir katkı sağlayacağını umuyor ve daha fazla iyileştirme için her türlü geri bildirim veya öneriyi memnuniyetle karşılıyoruz.
Saygılarımla,
BrandonJames1337
Bollinger Bands with Squeeze and SMA Indicator Description: BB+SMA
Overview:
Bollinger Bands (BB): Computes and plots three bands based on a selected moving average type (SMA, EMA, SMMA (RMA), WMA, VWMA) and standard deviation multiplier. The bands indicate potential support and resistance levels relative to price volatility.
Squeeze Condition: Detects periods of low volatility (squeeze) when the distance between the upper and lower Bollinger Bands narrows significantly. This condition can signal potential price breakouts.
Simple Moving Average (SMA): Calculates and plots a simple moving average based on user-defined length. It smooths price data to highlight trends and potential reversals.
Smoothing Line: Further enhances the SMA by applying different smoothing methods (SMA, EMA, SMMA (RMA), WMA, VWMA) over a specified smoothing length. It helps in identifying smoother trends and changes in direction.
Key Components:
Inputs: Users can adjust parameters such as Bollinger Bands length, type of moving average, standard deviation multiplier, squeeze condition length, squeeze threshold percentage, SMA length, smoothing method, and smoothing length.
Plotting: Displays the Bollinger Bands (basis, upper, lower), SMA, squeeze condition bands (basis, upper, lower), and a smoothing line on the chart.
Visualization: Utilizes different colors and line styles for clarity in visualizing each component's plot on the chart.
Purpose:
Helps traders identify potential price volatility, trend reversals, and breakout opportunities using Bollinger Bands, SMA, squeeze conditions, and smoothed moving averages.
Enhances technical analysis by providing clear visual cues for trend strength and potential entry/exit points based on the specified parameters.
Conclusion:
The "BB+SMA" indicator integrates multiple technical analysis tools into a single script, offering traders a comprehensive approach to analyzing price movements and making informed trading decisions directly on TradingView charts.
PFCF Price BandPFCF Price Band shows price calculated using the previous period's high and low P/TTM FCFPS (TTM's price to free cash flow per share over the last 12 months) multiplied by TTM's current FCFPS ( Similar to price theory = P/E x expected earnings per share)
If the current P/FCFPS is lower than the minimum P/FCFPS, it is considered cheap. In other words, above the maximum P/FCFPS is considered expensive.
PFCF Price Band consists of 2 parts.
- Firstly, the historical P/FCFPS value in "Green" (if TTM FCFPS is positive) or "Red" (if TTM FCFPS is negative) status changes based on the latest high or low price of TTM FCFPS.
- Second, the blue line is the closing price divided by TTM FCFPS, which shows the current P/FCF.
P.S. It is recommended to use it together with the PE Band indicator because just net profit does not mean that a company has good cash flow.
Dynamic Bollinger Bands with Momentum and Volume (DBBMV)Overview
The Dynamic Bollinger Bands with Momentum and Volume (DBBMV) indicator enhances the traditional Bollinger Bands by dynamically adjusting their width and position based on momentum and volume. This provides a more responsive and context-aware indication of price volatility and potential reversals.
Key Features
Momentum Adjusted Bands: Adjusts the bands' width based on the momentum indicator, reflecting the rate of change in price.
Volume Weighted Bands: Further adjusts the bands based on trading volume to reflect market activity and price volatility.
Signal Alerts: Provides buy and sell signals based on price action relative to the dynamic bands, helping traders identify entry and exit points.
Customizable Parameters: Allows users to adjust the lookback period, momentum sensitivity, and volume weighting for personalized analysis.
How It Works
The DBBMV indicator starts with the traditional Bollinger Bands, which are calculated using a moving average and standard deviation of the selected price source. The width of these bands is then adjusted based on the momentum of the price, making them more sensitive to price changes. Further adjustments are made based on trading volume, which ensures that the bands accurately reflect current market conditions. This results in a set of dynamic Bollinger Bands that provide more nuanced insights into price volatility and potential reversals.
Usage Instructions
Identify Volatile Periods: Use the dynamically adjusted bands to identify periods of high and low volatility in the market.
Spot Reversals: Look for buy signals when the price crosses above the lower band and sell signals when the price crosses below the upper band.
Adjust Sensitivity: Customize the lookback period, momentum sensitivity, and volume weighting to fine-tune the indicator to your specific trading strategy and market conditions.
Enhance Analysis: Combine the DBBMV indicator with other technical analysis tools for a more comprehensive market analysis.
Volume Confirmation: Use the volume-weighted adjustments to confirm the strength of price movements and potential breakouts.
The Dynamic Bollinger Bands with Momentum and Volume (DBBMV) indicator provides traders with a powerful tool to understand market dynamics better and make informed trading decisions based on adjusted volatility and market activity.
HTF Dynamic EMA Smoothing Indicator [CHE] with Kernel SelectionThe Dynamic EMA Smoothing Indicator with Kernel Selection is a powerful Pine Script indicator for TradingView designed to smooth moving averages and identify market trends more clearly. Here is a detailed description of its functionalities and settings:
Main Functions:
1. Time Period Display:
- Option to show or hide an info box displaying the current time period.
- Customizable info box: Users can adjust the size, position, and colors of the info box to suit their preferences.
2. Timeframe Type Selection:
- Auto Timeframe: Automatically calculates the best timeframe based on the current resolution.
- Multiplier: Allows using an alternate timeframe as a multiple of the current resolution.
- Manual Resolution: Users can manually set a specific timeframe.
3. Colors:
- Custom colors for various graphical elements, including EMA lines and signals.
4. Basic Settings:
- EMA and Signal Periods: Defines the periods for the exponential moving averages (EMA) and signal lines.
- Smoothing Length and Kernel Type: Allows selecting the smoothing length and the type of kernel used for weighting the EMAs.
- ATR Multiplier: Defines the multiplier for the ATR (Average True Range) to identify relevant price ranges.
5. EMA Calculations:
- The indicator calculates a weighted EMA using several methods like Linear, Exponential, Epanechnikov, Triangular, and Cosine kernels.
- Smoothing is achieved by adding and removing values in a float array that stores the EMA values.
6. Plotting EMA and Signal Lines:
- The indicator plots the smoothed EMA and signal lines on the chart. The line colors change according to the trend direction (green for uptrend, red for downtrend).
7. Trading Signals:
- Long Signals: An upward arrow is displayed when the smoothed EMA indicates an uptrend.
- Short Signals: A downward arrow is displayed when the smoothed EMA indicates a downtrend.
- Alert Conditions: Alerts are triggered when long or short signals are detected.
8. ATR Bands:
- The indicator shows upper and lower ATR bands to identify potential support and resistance zones.
9. Time Period Display on Chart:
- A table is used to display the selected time period on the chart when the corresponding option is enabled.
This indicator offers extensive customization and allows traders to conduct complex market analyses using smoothed EMAs and custom timeframes. The integration of various kernels for smoothing makes it a versatile tool adaptable to different trading strategies.
Percentage GridPercentage Grid Indicator
Description:
The Percentage Grid indicator is designed to assist traders in identifying significant support and resistance levels based on yearly percentage changes. This indicator plots horizontal lines on the chart from the start of the year, allowing you to customize how much percentage each line represents. Currently, you can set up to 5 horizontal lines, each representing a different percentage change from the beginning of the year.
For instance, when applied to the SBI Bank stock, you can customize the lines to display various percentage changes from the start of the year, such as 20%, 25%, and up to 35%, as the SBIN stock is currently trading around these levels. This visualization helps traders to easily identify key levels where price action tends to react, providing valuable insights for making trading decisions.
Principles of Trading Technical Analysis:
The Percentage Grid indicator is grounded in the principle of support and resistance levels, which are fundamental concepts in technical analysis. These levels are specific price points on a chart that tend to act as barriers, preventing the price from getting pushed in a certain direction. The indicator helps in:
Identifying Support Levels: Price levels where a downtrend can be expected to pause due to a concentration of buying interest.
Identifying Resistance Levels: Price levels where an uptrend can be expected to pause due to a concentration of selling interest.
By customizing and plotting percentage-based horizontal lines, the indicator highlights these critical levels based on the percentage change from the start of the year.
How to Use:
Add the Indicator to Your Chart:
Search for "Percentage Grid" in the TradingView indicator library and add it to your chart.
Customize Percentage Levels:
Access the indicator settings to customize the percentage change each line represents.
You can set up to 5 different percentage levels. For example, you can set lines at 20%, 25%, 30%, 35%, and 40%.
Interpret the Grid Lines:
The plotted lines will represent the specified percentage changes from the start of the year.
Use these lines to identify potential support and resistance levels where price action is likely to react.
Practical Application:
Look for price bounces or reversals around these levels, which can indicate strong support or resistance.
Combine the Percentage Grid with other technical analysis tools, such as moving averages or trend lines, to confirm potential trading opportunities.
Example:
In the accompanying screenshot, the Percentage Grid is applied to the SBI Bank stock. The lines are set to display 20%, 25%, 30%, 35%, and 40% changes from the start of the year. Notice how the price action respects these levels, providing clear areas where support and resistance are evident.
By incorporating the Percentage Grid into your trading strategy, you can enhance your ability to identify key price levels and make more informed trading decisions.
Happy Trading!
Standard Error Bands**Standard Error Bands Indicator: A Statistically Robust Tool for Trend Analysis**
The Standard Error Bands (SEB) indicator is a powerful technical analysis tool designed to help traders identify and assess trends with greater accuracy. Unlike traditional band indicators (e.g., Bollinger Bands) that rely on price averages, SEB leverages linear regression and statistical measures of volatility to offer deeper insights into market dynamics.
**How It Works**
1. **Linear Regression:** The indicator first calculates a linear regression line to model the underlying price trend. This line represents the "best fit" of price data over the specified lookback period.
2. **Standard Error:** Next, it calculates the standard error of the regression. This statistical measure quantifies the average distance between actual prices and the regression line, effectively acting as a volatility gauge.
3. **Smoothing:** Both the linear regression line and the standard error values are smoothed using a Simple Moving Average (SMA) to reduce noise and enhance the visual clarity of the bands.
4. **Band Construction:** The upper and lower bands are formed by adding/subtracting a multiple of the smoothed standard error from the smoothed linear regression line. The default multiplier is 2, representing approximately 95% of price action expected within the bands under normal market conditions.
**Key Insights**
* **Trend Strength:** Tight bands suggest a strong, well-defined trend with low volatility. Prices tend to adhere closely to the regression line, indicating a high probability of trend continuation.
* **Trend Weakness/Change:** Widening or expanding bands signal increased volatility and potential trend weakness. Prices deviating from the regression line may suggest an impending trend reversal or a shift into a sideways consolidation phase.
* **Entry/Exit Signals:**
* Consider entering a trade when prices break out of the bands in the direction of the trend, especially if the bands were previously tight.
* Conversely, consider exiting a trade when prices pierce the bands against the trend or when the bands start to widen significantly.
**Use Cases**
* **Trend Identification:** SEB can help traders identify trends earlier and more accurately than moving average-based indicators.
* **Trend Confirmation:** The bands can be used to confirm the validity and strength of an existing trend.
* **Volatility Assessment:** Changes in band width provide valuable insights into market volatility, aiding risk management decisions.
* **Entry/Exit Timing:** SEB can be incorporated into trading strategies to generate timely entry and exit signals.
**Important Considerations**
* **Parameter Optimization:** Experiment with different lookback periods, smoothing values, and standard error multipliers to find the optimal settings for your preferred trading style and market conditions.
* **Supplementary Indicators:** Combine SEB with other technical indicators (e.g., momentum oscillators, volume analysis) for a more comprehensive market assessment.
* **Backtesting:** Thoroughly backtest any SEB-based trading strategy to ensure its effectiveness before deploying it in live markets.
**Disclaimer:** Technical indicators like SEB are valuable tools but should not be used in isolation. Always consider price action or fundamental factors and risk management principles when making trading decisions.
Smart Money Analysis with Golden/Death Cross [YourTradingSensei]Description of the script "Smart Money Analysis with Golden/Death Cross":
This TradingView script is designed for market analysis based on the concept of "Smart Money" and includes the detection of Golden Cross and Death Cross signals.
Key features of the script:
Moving Averages (SMA):
Two moving averages are calculated: a short-term (50 periods) and a long-term (200 periods).
The intersections of these moving averages are used to determine Golden Cross and Death Cross signals.
High Volume:
The current trading volume is analyzed.
Periods of high volume are identified when the current volume exceeds the average volume by a specified multiplier.
Support and Resistance Levels:
Key support and resistance levels are determined based on the highest and lowest prices over a specified period.
Buy and Sell Signals:
Buy and sell signals are generated based on moving average crossovers, high volume, and the closing price relative to key levels.
Golden Cross and Death Cross:
A Golden Cross occurs when the short-term moving average crosses above the long-term moving average.
A Death Cross occurs when the short-term moving average crosses below the long-term moving average.
These signals are displayed on the chart with text color changes for better visualization.
Using the script:
The script helps traders visualize key signals and levels, aiding in making informed trading decisions based on the behavior of major market players and technical analysis.
Custom candle lighting(CCL) © 2024 by YourTradingSensei is licensed under CC BY-NC-SA 4.0. To view a copy of this license.
Volume Distribution (Heat Map)This Pine Script indicator, "Volume Distribution (Heat Map)" is designed to visualize the distribution of volume across different price levels over a specified lookback period. Here's a detailed breakdown of its functionality and features:
Indicator Overview
User Inputs
Length: The lookback period for analysis, defaulting to 500 bars.
Source: The price source used for calculations (default is the close price).
Color Intensity: Adjusts the intensity of the heatmap colors, with a default value of 25.
Lines Width: The width of the plotted lines, with a default value of 10.
Main Color: The main color used for the heatmap (default is lime).
Logic
The script iterates through the number of bins, calculates the volume for each bin between highest and lowest prices for length period, and updates the corresponding bin in the freq array if the current bar is allowed.
If the current bar is the last bar, the script plots lines and labels based on the volume distribution.
Heatmap Lines:
Solid lines colored based on the volume in each bin, using a gradient from no color to the main color based on amount of volume.
Highest Volume Line:
A dashed red line indicating the bin with the highest volume.
Labels:
Labels for the highest and lowest prices and the volume at the highest volume bin.
Plots
Highest Price Plot: Plots the highest price within the lookback period if the current bar is within the allowed range.
Lowest Price Plot: Plots the lowest price within the lookback period if the current bar is within the allowed range.
Summary
This indicator provides a visual representation of where trading volume is concentrated across different price levels, forming a heatmap. The highest volume level is highlighted with a dashed red line and a label indicating the volume at that level. This can help traders identify significant price levels where trading activity is clustered.
The "Volume Distribution (Heat Map)" indicator is a valuable tool for traders looking to enhance their technical analysis by incorporating volume data into their price charts. It provides a clear and visual representation of where market participants are most active, aiding in better-informed trading decisions.
Heikin-Ashi Band Proximity IndicatorHeikin-Ashi Band Proximity Indicator
Overview:
The Heikin-Ashi Band Proximity Indicator is a an analytical tool engineered to pinpoint critical price junctures where the Heikin-Ashi closing values align with the upper and lower thresholds of the Dynamic Adaptive Regression Bands . This indicator delineates these intersections through distinct green and red lines plotted over the last 100 candles, demarcating prospective support and resistance zones.
Purpose:
This indicator helps traders identify potential buy and sell zones based on proximity to dynamically calculated bands using Heikin-Ashi smoothed prices combined with linear regression and standard deviation calculations.
How It Works:
- Heikin-Ashi Transformation: Smooths price data to help isolate trends and reversals, reducing market noise and highlighting clearer trends.
- Regression Bands: Calculates the central regression line and deviations to form adaptive bands that act as dynamic levels of support and resistance.
- Color-Coded Indications: Green lines typically denote zones where prices may receive upward support, enhancing the likelihood of a price increase, while red lines suggest probable resistance zones where price pullbacks or stagnation are anticipated.
Trading Potential Application:
- Buy Signal: When the Heikin-Ashi close approaches the lower green band, it might indicate a potential upward reversal.
- Sell Signal: Conversely, proximity to the upper red band may suggest a downward reversal.
- Market Behavior: When prices diverge from these bands without surpassing them, they frequently revert to these levels, indicating that the bands serve as persistent attractors of price, exerting a gravitational pull over extended periods. This behavior underscores the bands' role in stabilizing price movements by establishing persistent points of reversion within the market's volatility landscape.
Calculation Details:
- ha_close is computed as the average of the open, high, low, and close, which smoothens the price series.
- Regression lines and deviations are calculated to create bands that adapt to recent price actions, providing dynamic support and resistance levels.
Usage:
Useful for traders looking for an indicator to enhance their decision-making by identifying potential entry and exit points based on price stability and volatility. The clear, color-coded system aids in quick decision-making under various market conditions.
Conclusion:
The Heikin-Ashi Band Proximity Indicator is invaluable for traders aiming to capitalize on price movements near critical levels. Its methodology provides a unique approach to understanding market dynamics and enhancing trading strategies.
Candle Strength Oscillator by SyntaxGeekThis candle strength oscillator displays a smoothed rolling difference between the body range (close and open) and total candle range (high and low).
When candles have small bodies, such as a doji, it can indicate weakness, when candles have essentially little to no wicks it can indicate strength.
There are two modes of display for the strength trend to show potential exhaustion on either side, bollinger bands and donchian channels. Each has their own pros and cons but as most are familiar with bollinger bands this is the default.
Another feature is the ATR measurement, which can assist in displaying an overall reduction in range volatility when comparing historical price movements to current oscillations.
The zero line can show some importance with regards to the peaks and valleys of the main measurement, when everything is trending and there's a reversal, if the zero line isn't broken it could be considered a trend continuation pullback vs a complete reversal.
Trend arrows and bar coloring are available but should not be considered trade signals for entry and exit, merely just another way of viewing the lower study information.
As the raw data of each candle measurement is quite noisy, the entire dataset is passed through an HMA smoothing process, if more options are requested I'll consider adding them.
Thanks for view my script and happy trading!
Moving Average Bands with Signals [UAlgo]The "Moving Average Bands with Signals combines various moving average types with ATR-based bands to help traders identify potential support and resistance levels.
It plots moving average bands with upper and lower support/resistance levels based on the Average True Range (ATR) and user-defined settings.Additionally, the script generates buy/sell signals based on price crossing above or below the bands.
🔶 Key Features
Multiple Moving Average Types:
Supports various moving average calculations including Arnaud Legoux Moving Average (ALMA), Exponential Moving Average (EMA), Double Exponential Moving Average (DEMA), Triple Exponential Moving Average (TEMA), Kaufman Adaptive Moving Average (KAMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), Simple Moving Average (SMA), Triangular Moving Average (TMA), Volume-Weighted Moving Average (VWMA), Weighted Moving Average (WMA), and Zero-Lag Moving Average (ZLMA).
Customizable ATR Bands:
Integrates the Average True Range (ATR) to calculate dynamic support and resistance bands around the moving average. The multiplier for the bands is user-adjustable, allowing for finer control over the sensitivity and width of the bands.
Signal Generation:
Provides visual signals on the chart when the price interacts with the support or resistance bands. Users can choose between using the wick or the close price to generate these signals, adding an extra layer of customization based on their trading style.
Flexible Input Parameters:
Allows users to input parameters for moving average length, ATR length, band multiplier, and signal type. Additional settings are available for specific moving average types, such as ALMA's offset and sigma, KAMA's fast and slow periods, and LSMA's offset.
🔶 Disclaimer
This script is provided for educational purposes only and should not be considered financial advice.
Trading financial instruments involves substantial risk and can result in significant financial losses.
The script’s performance in the past is not indicative of future results, and no guarantees are made regarding its accuracy, reliability, or performance.
CPR LinesThe "CPR Lines" script, written in Pine Script version 5, is designed for use in the TradingView platform to help traders visualize Central Pivot Range (CPR) levels on their price charts. This script calculates and plots three essential pivot levels based on the prior trading day's high, low, and close prices, providing traders with key reference points for potential support and resistance levels in the current trading session.
Key Features:
Prior Day's Data Calculation:
The script retrieves the high, low, and close prices of the previous trading day using the request.security function. These values are crucial for calculating the CPR levels.
Central Pivot Line (CPL):
The CPL is calculated as the average of the prior day's high, low, and close prices. It serves as the primary pivot point around which the price action is likely to revolve.
Bottom Central Pivot (BCP):
The BCP is calculated as the average of the prior day's high and low prices. This level often acts as a support line in a bullish trend.
Top Central Pivot (TCP):
The TCP is derived by adding the difference between CPL and BCP to the CPL itself. This level can serve as a resistance line in a bearish trend.
Plotting the CPR Levels:
The script plots the CPL, BCP, and TCP on the chart with distinct black lines for easy identification. Each line is labeled accordingly and plotted with a linewidth of 2 for better visibility.
This script aids traders by providing visual cues for key price levels, enhancing their ability to make informed trading decisions based on historical price movements. By incorporating these pivot points, traders can better predict potential price reactions and plan their trades accordingly.
Open Interest liquidation map [Ox_kali]This script is inspired by @LeviathanCapital work on aggregating Open Interest , as presented in the Open Interest Suite Aggregated script. This script aims to provide a liquidation map of Open Interest by identifying significant anomalies across multiple trading platforms. By integrating data from Binance, BitMEX, and Kraken, this script tries to offer a comprehensive and detailed view of Open Interest movements and attempts to define zones of interest.
Key Points
1. Multiple Data Sources : The script retrieves Open Interest data from several trading platforms, including Binance (USDT, USD, BUSD), BitMEX (USD, USDT), and Kraken (USD).
2. Anomaly Detection : Utilizes a simple moving average (SMA) to calculate the average size of Open Interest candles and identify anomalies based on a user-specified size factor.
3. Background Coloring : Offers an option to color the background of the charts based on detected anomalies, allowing for clear visualization of significant movements.
4. Dynamic Support and Resistance Zones : Defines and dynamically updates support and resistance zones based on Open Interest anomalies.
5. Alerts : Configures alerts to notify the user when an Open Interest anomaly is detected.
Trading Utility
This script can be useful for monitoring significant changes in Open Interest and potential liquidation zones across multiple platforms. The main trading applications include:
1. Identifying Liquidation Points : By detecting Open Interest anomalies, it is possible to identify potential liquidation points where significant price movements might occur.
2. Multi-Platform Analysis : By aggregating Open Interest data from multiple platforms, a more comprehensive market overview is obtained.
3. Detecting Support and Resistance Zones : Dynamic support and resistance zones help identify key price levels where trend reversals might occur.
4. Customized Alerts: Anomaly alerts allow for automated responses to market changes.
Conclusion
The “Open Interest liquidation map ” script is an experimental tool for analyzing Open Interest across multiple trading platforms. Inspired by Leviathan’s work, this script attempts to identify liquidation and interest zones. This is an experimental version, and I welcome any comments and feedback for improvement.
Please note that the Open Interest liquidation map is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
