Vertical & Open Lines - Yearly [MsF]Yearly Vertical & Open Lines Indicator
This indicator helps traders visualize yearly boundaries and track previous year's price levels. It draws:
- Vertical lines at the start of each year
- Horizontal lines showing previous year's open and close prices
- Optional labels with price information
Features:
- Customizable line colors and styles
- Toggle yearly vertical lines
- Show/hide previous year's price levels
- Optional price labels
- Next year line preview
Usage:
1. Add indicator to your chart
2. Adjust Base Time to match your market's yearly reset time
3. Customize colors and styles using input options
4. Toggle features as needed
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Yearly Open LevelsThe Yearly Open Levels indicator is designed to help traders visualize the opening price of each year on a price chart.
Key Features:
Yearly Open Display: Automatically calculates and displays the opening price for each year starting from a user-defined starting year. This helps traders quickly spot where the price opens each year.
Customizable Start Year: Users can set a specific year to begin displaying opening levels. The default starting year is 2022, but this can be adjusted based on individual trader needs.
Visual Lines and Labels: Each yearly open is represented by a horizontal line that extends to the right of the chart, making it easy to see the level throughout the year.
A label is placed next to the line, indicating the year and the opening price, enhancing clarity and reference while analyzing price movements.
Color Customization: Traders can choose the color of the lines and labels to fit their charting style or preferences, enhancing the visual representation on different market charts.
Percentage Calculator by Akshay GaurThis indicator calculates and displays percentage levels above and below the current price. It allows you to easily identify any percentage levels which can be used in many things like creating strangles and straddles and make informed trading decisions. The indicator automatically adjusts and redraws the lines and labels on the latest bar to reflect real-time market conditions.
Key Features:
• Calculates percentage levels above and below the current price
• Displays percentage levels on big labels with the horizontal lines on the chart
• Allows you to adjust the percentage value and every details.
• Allows you to see Fluctuation line on the chart.
How to Use:
1. Set the percentage value to the desired level (e.g. 1%, 2%, etc.)
2. If you want to see Fluctuation lines also then turn on it from Input settings.
3. Use the displayed levels to identify desired percentage levels.
4. Make informed trading decisions based on the calculated levels
Volume-Based RSI Color Indicator with MAsVolume-Based RSI Color Indicator with MAs
Overview
This script combines the Relative Strength Index (RSI) with volume analysis to provide an enhanced perspective on market conditions. By dynamically coloring the RSI line based on overbought/oversold conditions and volume thresholds, this indicator helps traders quickly identify high-probability reversal zones. Additionally, it incorporates short-term and long-term moving averages (MAs) of the RSI for trend analysis, making it a versatile tool for scalping and swing trading strategies.
Key Features
Dynamic RSI Color Coding:
The RSI line changes color based on two conditions:
Overbought/High Volume: RSI is above the overbought threshold (default: 70) and volume exceeds the average volume by a user-defined multiplier (default: 2.0). The line turns red, indicating potential reversal zones.
Oversold/High Volume: RSI is below the oversold threshold (default: 30) and volume exceeds the average volume by the multiplier. The line turns green, suggesting potential buying opportunities.
Neutral Conditions: Default blue color for all other scenarios.
Volume Integration:
Unlike standard RSI indicators, this script incorporates volume data to refine signals, helping traders avoid false signals in low-volume environments.
RSI Moving Averages:
Two moving averages of the RSI (short-term and long-term) provide trend context:
200-period MA: Highlights the long-term trend in RSI values.
20-period MA: Shows short-term fluctuations for quick decision-making.
Both MAs can be calculated using Simple or Exponential methods, giving users flexibility.
Visual Aids:
Horizontal lines at the overbought (70) and oversold (30) levels help define the boundaries of expected price action extremes.
How It Works
The script calculates the RSI over a user-defined length (default: 14).
Volume data is compared to its moving average to determine if it exceeds the user-defined high-volume threshold.
When RSI and volume conditions align, the RSI line is dynamically colored to indicate potential overbought/oversold zones.
The RSI moving averages provide additional context to confirm trends or reversals.
How to Use
Identify Reversal Zones:
Look for green RSI signals in oversold conditions to identify potential buying opportunities.
Look for red RSI signals in overbought conditions to identify potential selling opportunities.
Use Moving Averages for Confirmation:
When the RSI is above its 200-period MA, the long-term trend is bullish; consider only long trades.
When the RSI is below its 200-period MA, the trend is bearish; consider only short trades.
Combine with Other Tools:
This indicator works best when used alongside price action analysis, candlestick patterns, or support/resistance levels.
Originality
This script is unique in combining volume analysis with RSI and RSI-specific moving averages. While many indicators focus on RSI or volume separately, this script marries these two key metrics to filter out weak signals and improve trade decision accuracy.
Chart Recommendations
Clean Chart: Use this indicator on a clean chart without additional overlays for maximum clarity.
Timeframes: Works well on intraday charts (e.g., 5m, 15m) for scalping and on higher timeframes (e.g., 1H, 4H, Daily) for swing trading.
Disclaimer
This indicator is a tool to aid trading decisions and should not be used in isolation. Always consider other factors such as market conditions, news events, and risk management.
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Sector Relative Strength [Afnan]This indicator calculates and displays the relative strength (RS) of multiple sectors against a chosen benchmark. It allows you to quickly compare the performance of various sectors within any global stock market. While the default settings are configured for the Indian stock market , this tool is not limited to it; you can use it for any market by selecting the appropriate benchmark and sector indices.
📊 Key Features ⚙️
Customizable Benchmark: Select any symbol as your benchmark for relative strength calculation. The default benchmark is set to `NSE:CNX100`. This allows for global market analysis by selecting the appropriate benchmark index of any country.
Multiple Sectors: Analyze up to 23 different sector indices. The default settings include major NSE sector indices. This can be customized to any market by using the relevant sector indices of that country.
Individual Sector Control: Toggle the visibility of each sector's RS on the chart.
Color-Coded Plots: Each sector's RS is plotted with a distinct color for easy identification.
Adjustable Lookback Period: Customize the lookback period for RS calculation.
Interactive Table: A sortable table displays the current RS values for all visible sectors, allowing for quick ranking.
Table Customization: Adjust the table's position, text size, and visibility.
Zero Line: A horizontal line at zero provides a reference point for RS values.
🧭 How to Use 🗺️
Add the indicator to your TradingView chart.
Select your desired benchmark symbol. The default is `NSE:CNX100`. For example, use SPY for the US market, or DAX for the German market.
Adjust the lookback period as needed.
Enable/disable the sector indices you want to analyze. The default includes major NSE sector indices like `NSE:CNXIT`, `NSE:CNXAUTO`, etc.
Customize the table's appearance as needed.
Observe the RS plots and the table to identify sectors with relative strength or weakness.
📝 Note 💡
This indicator is designed for sectorial analysis. You can use it with any market by selecting the appropriate benchmark and sector indices.
The default settings are configured for the Indian stock market with `NSE:CNX100` as the benchmark and major NSE sector indices pre-selected.
The relative strength calculation is based on the price change of the sector index compared to the benchmark over the lookback period.
Positive RS values indicate relative outperformance, while negative values indicate relative underperformance.
👨💻 Developer 🛠️
Afnan Tajuddin
Enigma End Game Indicator
Enigma End Game Indicator Description
The Enigma End Game indicator is a powerful tool designed to enhance the way traders approach support and resistance, combining mainstream technical analysis with a unique, dynamic perspective. At its core, this indicator enables traders to adapt to market conditions in real time by applying a blend of classic and modern interpretations of support and resistance levels.
In traditional support and resistance analysis, we recognize the significant price points where the market has historically reversed or consolidated. However, the *Enigma End Game* indicator takes this one step further by analyzing each individual candle's high as a potential resistance level and each low as support. This allows the trader to stay more agile, as the market constantly updates and evolves. The dynamic nature of this method acknowledges that price movements are fractal in nature, meaning that these levels are not static but adjust in response to price action on multiple timeframes.
### How It Works:
When using the *Enigma End Game* indicator, it doesn't simply plot buy and sell signals automatically. Instead, the indicator highlights key levels based on the interaction between price and historical price action. Here's how it operates:
1. **Buy Logic:**
The indicator identifies bullish signals based on the *Enigma* logic, but it does not trigger an immediate buy. Instead, it plots arrows above or below the candles, indicating the key price levels where price action has shifted. Traders then focus on these areas, particularly looking for buy opportunities *below* these levels during key market sessions (such as London or New York) while aligning with both mainstream support and resistance and *Enigma* levels.
2. **Sell Logic:**
Similarly, when the indicator identifies a sell signal, it plots an arrow above the candle where price action has reversed. This does not immediately suggest selling. Traders wait for a price retracement back to the previously breached low (for a sell order) or high (for a buy order), observing price action closely on lower timeframes (such as the 1-minute chart) to refine entry points. The entry is triggered when price starts to show signs of reversing at these levels, further validated by mainstream and *Enigma* support/resistance.
### Practical Example – XAU/USD (Gold):
For instance, in the settings of the *Enigma End Game* indicator, if we select the 5-minute (5MN) timeframe as the key level, the indicator will only plot the first 3 arrows following the *Enigma* logic. The arrows will appear above or below the candle that was breached, indicating a potential trend reversal. In this scenario, the first arrow marks the point where price broke a significant support or resistance level. Afterward, the trader watches for a subsequent candle to close below (in the case of a sell) the previous candle’s low, confirming a bearish bias.
Now, the trader does not rush into a sell order. Instead, they wait for the price to pull back towards the previously breached low. At this point, the trader can use a lower timeframe (like the 1-minute chart) to identify both mainstream support and resistance levels and *Enigma* levels above the main 5-minute key level. These additional levels provide a clearer understanding of where price might reverse and give the trader a stronger edge in refining their entry point.
The trader then sets a sell order *above* the price level of the previous low, but only once signs show that price is retracing and ready to fall again. The price point where this retracement occurs, confirmed by both mainstream and *Enigma* levels, becomes the entry signal for the trade.
### Summary:
The *Enigma End Game* indicator combines time-tested principles of support and resistance with a more modern, adaptive view, empowering traders to read the market with greater precision. It guides you to wait for optimal entries, based on dynamic support and resistance levels that change with each price movement. By combining signals on higher timeframes with refined entries on lower timeframes, traders gain a unique advantage in navigating both obvious and hidden levels of support and resistance, ultimately improving their ability to time trades with higher probability of success.
This indicator allows for a more calculated, strategic approach to trading—highlighting the right moments to enter the market while providing the flexibility to adjust to different market conditions.
The *ENIGMA Signals with Retests* indicator is a versatile trading tool that combines key market sessions with dynamic support and resistance levels. It uses logic to identify potential buy and sell signals based on the behavior of recent price swings (highs and lows) and offers flexibility with the number of arrows plotted per session. The user can customize settings like arrow frequency, line styles, and session times, allowing for personalized trading strategies.
The indicator detects buy and sell signals by checking if the price breaks the previous swing high (for buy signals) or swing low (for sell signals). It then stores these levels and draws horizontal lines on the chart, representing critical price levels where traders can expect potential price reactions.
A key feature of this indicator is its ability to limit the number of arrows per session, ensuring a cleaner chart and reducing signal clutter. Horizontal lines are drawn at the identified buy or sell levels, with the option to display labels like "BUY - AT OR BELOW" and "SELL - AT OR ABOVE" to further clarify entry points.
The indicator also incorporates session filtering, allowing traders to focus on specific market sessions (Asia, London, and New York) for more relevant signals, and it ensures that no more than a user-defined number of arrows are plotted within a session.
Trend Stability Index (TSI)Overview
The Trend Stability Index (TSI) is a technical analysis tool designed to evaluate the stability of a market trend by analyzing both price movements and trading volume. By combining these two crucial elements, the TSI provides traders with insights into the strength and reliability of ongoing trends, assisting in making informed trading decisions.
Key Features
• Dual Analysis: Integrates price changes and volume fluctuations to assess trend stability.
• Customizable Periods: Allows users to set evaluation periods for both trend and volume based on their trading preferences.
• Visual Indicators: Displays the Trend Stability Index as a line chart, highlights neutral zones, and uses background colors to indicate trend stability or instability.
Configuration Settings
1. Trend Length (trendLength)
• Description: Determines the number of periods over which the price stability is evaluated.
• Default Value: 15
• Usage: A longer trend length smooths out short-term volatility, providing a clearer picture of the overarching trend.
2. Volume Length (volumeLength)
• Description: Sets the number of periods over which trading volume changes are assessed.
• Default Value: 15
• Usage: Adjusting the volume length helps in capturing significant volume movements that may influence trend strength.
Calculation Methodology
The Trend Stability Index is calculated through a series of steps that analyze both price and volume changes:
1. Price Change Rate (priceChange)
• Calculation: Utilizes the Rate of Change (ROC) function on the closing prices over the specified trendLength.
• Purpose: Measures the percentage change in price over the trend evaluation period, indicating the direction and momentum of the price movement.
2. Volume Change Rate (volumeChange)
• Calculation: Applies the Rate of Change (ROC) function to the trading volume over the specified volumeLength.
• Purpose: Assesses the percentage change in trading volume, providing insight into the conviction behind price movements.
3. Trend Stability (trendStability)
• Calculation: Multiplies priceChange by volumeChange.
• Purpose: Combines price and volume changes to gauge the overall stability of the trend. A higher positive value suggests a strong and stable trend, while negative values may indicate trend weakness or reversal.
4. Trend Stability Index (TSI)
• Calculation: Applies a Simple Moving Average (SMA) to the trendStability over the trendLength period.
• Purpose: Smooths the trend stability data to create a more consistent and interpretable index.
Trend/Ranging Determination
• Stable Trend (isStable)
• Condition: When the TSI value is greater than 0.
• Interpretation: Indicates that the current trend is stable and likely to continue in its direction.
• Unstable Trend / Range-bound Market
• Condition: When the TSI value is less than or equal to 0.
• Interpretation: Suggests that the trend may be weakening, reversing, or that the market is moving sideways without a clear direction.
Visualization
The TSI indicator employs several visual elements to convey information effectively:
1. TSI Line
• Representation: Plotted as a blue line.
• Purpose: Displays the Trend Stability Index values over time, allowing traders to observe trend stability dynamics.
2. Neutral Horizontal Line
• Representation: A gray horizontal line at the 0 level.
• Purpose: Serves as a reference point to distinguish between stable and unstable trends.
3. Background Color
• Stable Trend: Green background with 80% transparency when isStable is true.
• Unstable Trend: Red background with 80% transparency when isStable is false.
• Purpose: Provides an immediate visual cue about the current trend’s stability, enhancing the interpretability of the indicator.
Usage Guidelines
• Identifying Trend Strength: Utilize the TSI to confirm the strength of existing trends. A consistently positive TSI suggests strong trend momentum, while a negative TSI may signal caution or a potential reversal.
• Volume Confirmation: The integration of volume changes helps in validating price movements. Significant price changes accompanied by corresponding volume shifts can reinforce the reliability of the trend.
• Entry and Exit Signals: Traders can use crossovers of the TSI with the neutral line (0 level) as potential entry or exit points. For instance, a crossover from below to above 0 may indicate a bullish trend initiation, while a crossover from above to below 0 could suggest bearish momentum.
• Combining with Other Indicators: To enhance trading strategies, consider using the TSI in conjunction with other technical indicators such as Moving Averages, RSI, or MACD for comprehensive market analysis.
Example Scenario
Imagine analyzing a stock with the following observations using the TSI:
• The TSI has been consistently above 0 for the past 30 periods, accompanied by increasing trading volume. This scenario indicates a strong and stable uptrend, suggesting that buying opportunities may be favorable.
• Conversely, if the TSI drops below 0 while the price remains relatively flat and volume decreases, it may imply that the current trend is losing momentum, and the market could be entering a consolidation phase or preparing for a trend reversal.
Conclusion
The Trend Stability Index is a valuable tool for traders seeking to assess the reliability and strength of market trends by integrating price and volume dynamics. Its customizable settings and clear visual indicators make it adaptable to various trading styles and market conditions. By incorporating the TSI into your trading analysis, you can enhance your ability to identify and act upon stable and profitable trends.
Dynamic RSI with Overbought/Oversold LinesDynamic RSI with Overbought/Oversold Lines
This indicator enhances the traditional RSI (Relative Strength Index) by dynamically adjusting the overbought and oversold levels based on the highest and lowest RSI values over a user-defined period. The indicator plots these levels as horizontal lines, allowing traders to visually identify when the market is "overbought" or "oversold."
Features:
Dynamic Overbought/Oversold Levels: Automatically adjusts the overbought and oversold levels based on the highest and lowest RSI values within the defined period, ensuring more accurate signals tailored to the current market conditions.
Customizable RSI Period: Choose your preferred RSI period to suit your trading strategy.
Signal Alerts: Visual signals are displayed when the RSI crosses into the overbought or oversold zone, indicating potential reversal points.
Background Color Alerts: The background changes color when the RSI exceeds overbought or oversold levels, making it easier to spot these important zones at a glance.
Clean and Simple: A minimalist design focusing on the key elements, making it suitable for all traders.
How to Use:
Overbought Zone: When the RSI moves above the overbought line (red), it may indicate that the asset is overbought, signaling a potential price reversal or pullback.
Oversold Zone: When the RSI moves below the oversold line (green), it may indicate that the asset is oversold, signaling a potential price bounce or reversal.
This dynamic RSI indicator is perfect for those looking to capture market extremes and improve their trading decisions. It's especially useful for timeframes like 30-minute and 1-hour charts, where market conditions tend to shift more rapidly.
N-Degree Moment-Based Adaptive Detection🙏🏻 N-Degree Moment-Based Adaptive Detection (NDMBAD) method is a generalization of MBAD since the horizontal line fit passing through the data's mean can be simply treated as zero-degree polynomial regression. We can extend the MBAD logic to higher-degree polynomial regression.
I don't think I need to talk a lot about the thing there; the logic is really the same as in MBAD, just hit the link above and read if you want. The only difference is now we can gather cumulants not only from the horizontal mean fit (degree = 0) but also from higher-order polynomial regression fit, including linear regression (degree = 1).
Why?
Simply because residuals from the 0-degree model don't contain trend information, and while in some cases that's exactly what you need, in other cases, you want to model your trend explicitly. Imagine your underlying process trends in a steady manner, and you want to control the extreme deviations from the process's core. If you're going to use 0-degree, you'll be treating this beautiful steady trend as a residual itself, which "constantly deviates from the process mean." It doesn't make much sense.
How?
First, if you set the length to 0, you will end up with the function incrementally applied to all your data starting from bar_index 0. This can be called the expanding window mode. That's the functionality I include in all my scripts lately (where it makes sense). As I said in the MBAD description, choosing length is a matter of doing business & applied use of my work, but I think I'm open to talk about it.
I don't see much sense in using degree > 1 though (still in research on it). If you have dem curves, you can use Fourier transform -> spectral filtering / harmonic regression (regression with Fourier terms). The job of a degree > 0 is to model the direction in data, and degree 1 gets it done. In mean reversion strategies, it means that you don't wanna put 0-degree polynomial regression (i.e., the mean) on non-stationary trending data in moving window mode because, this way, your residuals will be contaminated with the trend component.
By the way, you can send thanks to @aaron294c , he said like mane MBAD is dope, and it's gonna really complement his work, so I decided to drop NDMBAD now, gonna be more useful since it covers more types of data.
I wanned to call it N-Order Moment Adaptive Detection because it abbreviates to NOMAD, which sounds cool and suits me well, because when I perform as a fire dancer, nomad style is one of my outfits. Burning Man stuff vibe, you know. But the problem is degree and order really mean two different things in the polynomial context, so gotta stay right & precise—that's the priority.
∞
BTC vs Altcoin CorrelationThis Pine Script indicator calculates and visualizes the rolling correlation between Bitcoin (BTC) and a selected altcoin, while providing insights into the percentage of time the correlation remains above a user-defined threshold. Users can independently configure the correlation calculation period and the lookback period for measuring the percentage of time above the threshold. The correlation is displayed as a color-coded line: green when above the threshold and red otherwise, with a dashed horizontal line marking the threshold level. A dynamic table displays the current correlation value and the percentage of time spent above the threshold within the specified period, enabling quick evaluation of correlation dynamics between BTC and the chosen altcoin.
ATR-based TP/SL with Dynamic RREnglish
This indicator combines the power of the Average True Range (ATR) with dynamic calculations for Take Profit (TP) and Stop Loss (SL) levels, offering a clear visualization of trading opportunities and their respective Risk-Reward Ratios (RRR).
Features:
Dynamic TP/SL Calculation:
TP and SL levels are derived using user-defined ATR multipliers for precise positioning.
Multipliers are flexible, allowing traders to adjust according to their strategies.
Risk-Reward Ratio (RRR):
Automatically calculates and displays the RRR for each trade signal.
Helps traders quickly assess if a trade aligns with their risk management plan.
Entry Conditions:
Buy signals occur when the closing price crosses above the 20-period Simple Moving Average (SMA).
Sell signals occur when the closing price crosses below the 20-period SMA.
Visual Aids:
Red and green lines indicate Stop Loss and Take Profit levels.
Blue and orange labels show the RRR for long and short trades, respectively.
How It Works:
The indicator uses the ATR to calculate TP and SL levels:
TP: Adjusted based on the desired Risk-Reward Ratio (RR).
SL: Proportional to the ATR multiplier.
Entry signals are plotted with "BUY" or "SELL" markers, while the respective TP/SL levels are drawn as horizontal lines.
Why Use This Indicator?
Perfect for traders who value precise risk management.
Helps identify trades with favorable RRR (e.g., greater than 1.5 or 2.0).
Ideal for swing traders, day traders, and scalpers looking to automate their decision-making process.
Customization:
ATR Length: Control the sensitivity of ATR-based calculations.
ATR Multipliers: Set the TP and SL distances relative to the ATR.
Desired RRR: Define the risk/reward ratio you aim to achieve.
Important Notes:
The indicator does not place trades automatically; it is for visual and analytical purposes.
Always backtest and combine it with additional analysis for best results.
French
Cet indicateur combine la puissance de l’Average True Range (ATR) avec des calculs dynamiques pour les niveaux de Take Profit (TP) et de Stop Loss (SL), tout en offrant une visualisation claire des opportunités de trading et de leurs Ratios Risque/Rendement (RRR).
Fonctionnalités :
Calcul Dynamique des TP/SL :
Les niveaux de TP et SL sont calculés à l'aide de multiplicateurs ATR définis par l’utilisateur pour une position précise.
Les multiplicateurs sont personnalisables pour s'adapter à votre stratégie de trading.
Ratio Risque/Rendement (RRR) :
Calcule et affiche automatiquement le ratio RRR pour chaque signal de trade.
Permet aux traders d’évaluer rapidement si un trade correspond à leur plan de gestion des risques.
Conditions d'Entrée :
Les signaux d'achat apparaissent lorsque le prix de clôture traverse au-dessus de la moyenne mobile simple (SMA) à 20 périodes.
Les signaux de vente apparaissent lorsque le prix de clôture traverse en dessous de la SMA à 20 périodes.
Aides Visuelles :
Lignes rouges et vertes pour indiquer les niveaux de Stop Loss et de Take Profit.
Étiquettes bleues et orange pour afficher le RRR des trades longs et courts, respectivement.
Comment Cela Fonctionne :
L'indicateur utilise l’ATR pour calculer les niveaux TP et SL :
TP : Calculé dynamiquement en fonction du ratio risque/rendement souhaité (RRR).
SL : Proportionnel au multiplicateur ATR défini par l’utilisateur.
Les signaux d’entrée sont représentés par des étiquettes "BUY" ou "SELL", tandis que les niveaux de TP/SL sont tracés sous forme de lignes horizontales.
Pourquoi Utiliser Cet Indicateur ?
Idéal pour les traders soucieux d’une gestion rigoureuse des risques.
Identifie les opportunités de trades avec des RRR favorables (par exemple, supérieurs à 1.5 ou 2.0).
Convient aux swing traders, day traders et scalpeurs souhaitant automatiser leur processus de décision.
Personnalisation :
Longueur de l’ATR : Contrôlez la sensibilité des calculs basés sur l’ATR.
Multiplicateurs ATR : Ajustez les distances TP et SL par rapport à l’ATR.
Ratio RRR souhaité : Définissez le ratio risque/rendement que vous visez.
Remarques Importantes :
Cet indicateur n’exécute pas de trades automatiquement ; il est destiné à un usage visuel et analytique uniquement.
Toujours backtester et combiner avec une analyse supplémentaire pour de meilleurs résultats.
parametre par type de trading:
1. Pour les Scalpers :
Style de trading : Trades rapides sur de petites variations de prix, souvent sur des unités de temps courtes (1 min, 5 min).
Recommandations de paramètres :
ATR Length : 7 (plus court pour réagir rapidement à la volatilité).
Multiplicateur SL : 1.0 (Stop Loss proche pour limiter les pertes).
RR souhaité : 1.5 à 2.0 (bon équilibre entre risque et récompense).
Résultat attendu : Des trades fréquents, avec une probabilité raisonnable de toucher le TP tout en limitant les pertes.
2. Pour les Day Traders :
Style de trading : Trades qui durent plusieurs heures dans la journée, souvent sur des unités de temps moyennes (15 min, 1h).
Recommandations de paramètres :
ATR Length : 14 (standard pour capturer une volatilité modérée).
Multiplicateur SL : 1.5 (Stop Loss à distance raisonnable pour supporter les fluctuations intrajournalières).
RR souhaité : 2.0 à 3.0 (ciblez une bonne récompense par rapport au risque).
Résultat attendu : Moins de trades, mais un RR élevé pour compenser les pertes potentielles.
3. Pour les Swing Traders :
Style de trading : Trades qui durent plusieurs jours, souvent sur des unités de temps longues (4h, 1 jour).
Recommandations de paramètres :
ATR Length : 20 (pour capturer des mouvements de volatilité plus larges).
Multiplicateur SL : 2.0 (Stop Loss large pour supporter des fluctuations importantes).
RR souhaité : 3.0 ou plus (ciblez de gros mouvements de prix).
Résultat attendu : Des trades moins fréquents mais potentiellement très lucratifs.
4. Pour les Actifs Volatils (Crypto, Commodités) :
Problème spécifique : Les actifs volatils ont souvent des mouvements brusques.
Recommandations de paramètres :
ATR Length : 7 ou 10 (plus court pour suivre rapidement les variations).
Multiplicateur SL : 1.5 à 2.0 (assez large pour ne pas être déclenché prématurément).
RR souhaité : 1.5 à 2.0 (favorisez des récompenses réalistes sur des mouvements volatils).
Résultat attendu : Trades qui s’adaptent à la volatilité sans sortir trop tôt.
5. Pour les Marchés Stables (Indices, Actions Blue Chip) :
Problème spécifique : Les mouvements sont souvent lents et prévisibles.
Recommandations de paramètres :
ATR Length : 14 ou 20 (capture une volatilité modérée).
Multiplicateur SL : 1.0 à 1.5 (Stop Loss serré pour maximiser l’efficacité).
RR souhaité : 2.0 à 3.0 (ciblez des ratios plus élevés sur des mouvements moins fréquents).
Résultat attendu : Maximisation des profits sur des tendances claires.
Recommandation Générale :
Si vous ne savez pas par où commencer, utilisez ces paramètres par défaut :
ATR Length : 14
Multiplicateur SL : 1.5
RR souhaité : 2.0
EMA with Supply and Demand Zones
The EMA with Supply and Demand Strategy is a trend-following trading approach that integrates Exponential Moving Averages (EMA) with supply and demand zones to identify potential entry and exit points. Below is a detailed description of its components and logic:
Key Components of the Strategy
1. EMA (Exponential Moving Average)
The EMA is used as a trend filter:
Bullish Trend: Price is above the EMA.
Bearish Trend: Price is below the EMA.
The EMA ensures that trades align with the overall market trend, reducing counter-trend risks.
2. Supply and Demand Zones
Demand Zone:
Represents areas where the price historically found support (buyers dominated).
Calculated using the lowest low over a specified lookback period.
Used for identifying potential long entry points.
Supply Zone:
Represents areas where the price historically faced resistance (sellers dominated).
Calculated using the highest high over a specified lookback period.
Used for identifying potential short entry points.
3. Trade Conditions
Long Trade:
Triggered when:
The price is above the EMA (bullish trend).
The low of the current candle touches or penetrates the most recent demand zone.
Short Trade:
Triggered when:
The price is below the EMA (bearish trend).
The high of the current candle touches or penetrates the most recent supply zone.
4. Exit Conditions
Long Exit:
Exit the trade when the price closes below the EMA, indicating a potential trend reversal.
Short Exit:
Exit the trade when the price closes above the EMA, signaling a potential upward reversal.
Visual Representation
EMA: A blue line plotted on the chart to show the trend.
Supply Zones: Red horizontal lines representing potential resistance levels.
Demand Zones: Green horizontal lines representing potential support levels.
These zones dynamically adjust to reflect the most recent 3 levels.
How the Strategy Works
Trend Identification:
The EMA determines the direction of the trade:
Look for long trades only in a bullish trend (price above EMA).
Look for short trades only in a bearish trend (price below EMA).
Entry Points:
Wait for price interaction with a supply or demand zone:
If the price touches a demand zone during a bullish trend, initiate a long trade.
If the price touches a supply zone during a bearish trend, initiate a short trade.
Risk Management:
The strategy exits trades if the price moves against the trend (crosses the EMA).
This ensures minimal exposure during adverse market movements.
Benefits of the Strategy
Trend Alignment:
Reduces counter-trend trades, improving the win rate.
Clear Entry and Exit Rules:
Combines price action (zones) with a reliable trend filter (EMA).
Dynamic Levels:
The supply and demand zones adapt to changing market conditions.
Customization Options
EMA Length:
Adjust to suit different timeframes or market conditions (e.g., 20 for faster trends, 50 for slower trends).
Lookback Period:
Fine-tune to capture broader or narrower supply and demand zones.
Risk/Reward Preferences:
Pair the strategy with stop-loss and take-profit levels for enhanced control.
This strategy is ideal for traders looking for a structured approach to identify high-probability trades while aligning with the prevailing trend. Backtest and optimize parameters based on your trading style and the specific asset you're tradin
DB369 - Directional Bias 369
DB369 - Directional Bias 369 Indicator
The **DB369** indicator helps traders identify key market levels and trends by combining multiple timeframes' price action analysis. It highlights important **pivot points** on the chart and provides visual cues to help you make more informed buy and sell decisions based on the overall market direction.
Key Features
1. Pivot Points Across Multiple Timeframes**:
- The indicator calculates and displays pivot points for the **Monthly**, **Weekly**, **Daily**, **4-Hour**, and **1-Hour** timeframes (or 30-minute equivalent if desired). These pivots represent significant price levels where the market may retest.
2. **Trend Detection**:
- The indicator evaluates the relationship between the current price and the pivot point for each timeframe. Based on this comparison, it classifies the market as **Bullish**, **Bearish**, or **Neutral** on each timeframe.
3. **Pivot Lines**:
- Horizontal lines are drawn to mark the key pivot points for each selected timeframe. These lines extend into the future and adjust dynamically as the market moves in real time.
- **Customizable**: You can choose which timeframes to display pivot points by enabling/disabling them in the settings.
4. **Trend Table**:
- A **table** is displayed at the top-right of the chart to show the trend for the **Daily**, **4-Hour**, and **30-Minute** timeframes. It provides an easy-to-read view of the trend direction across these timeframes.
5. **Buy/Sell Arrows**:
- **Buy Arrow**: A green arrow will appear when the **Daily**, **4-Hour**, and **30-Minute** trends are all **Bullish** (aligned in the same direction).
- **Sell Arrow**: A red arrow will appear when all three timeframes show a **Bearish** trend.
- These arrows appear only once per alignment change and can be enabled or disabled for alerts. This helps avoid clutter on the chart and ensures that you only see a signal when the alignment occurs or changes.
### **How to Use the DB369 Indicator**:
1. **Pivot Points**:
- The pivot points represent significant price levels where the market might retest in the future. For instance:
- **Bullish Market**: If the price is above the pivot point, the market is considered bullish.
- **Bearish Market**: If the price is below the pivot point, the market is considered bearish.
- **Neutral Market**: When the price is near the pivot point, the market is neither strongly bullish nor bearish.
2. **Trend Alignment**:
- When the **Daily**, **4-Hour**, and **30-Minute** timeframes all show the same trend direction (either **Bullish** or **Bearish**), this alignment signifies a stronger trend.
- You will receive a **Buy Arrow** when all three timeframes are aligned bullish, and a **Sell Arrow** when they are aligned bearish.
- These arrows are displayed at the point when the alignment is first detected and can also trigger **alerts**.
3. **Alerts**:
- You can choose to enable alerts for when a **Buy** or **Sell** arrow appears on the chart. This allows you to be notified in real-time when the alignment conditions are met.
4. **Using the Pivot Points for Entry**:
- **Buy Trade**: Look for a buy trade when the price is near the **pivot line** of the higher timeframes, particularly when the trend across all three timeframes is **Bullish**.
- **Sell Trade**: Similarly, look for a sell trade when the price is near a **pivot line** and the trend is **Bearish**.
5. **Customization**:
- You can customize which timeframes' pivots are shown on the chart by toggling the visibility of the **Monthly**, **Weekly**, **Daily**, **4-Hour**, and **1-Hour** pivots in the settings.
- The indicator automatically adjusts the pivot levels in real-time as the market progresses.
**Important Notes**:
- This indicator does not guarantee successful trades; it is intended to assist in identifying potential trade opportunities based on the alignment of higher timeframe trends.
- Always combine the information from the DB369 indicator with other technical analysis tools and risk management strategies to ensure more accurate trade decisions.
Cup Finder with Fibonacci-AYNETExplanation of Changes
Fibonacci Levels Integration:
Adds Fibonacci retracement levels based on a user-defined lookback (fib_length).
Retracement levels (0.0, 0.236, 0.382, 0.5, 0.618, 1.0) are calculated and drawn as horizontal lines.
Combined Visualization:
Cup patterns are visualized with dashed lines and optional channels.
Fibonacci levels are added as visual reference points on the same chart.
Customization:
Users can toggle Fibonacci levels, adjust colors, and define lookback periods.
This script combines the power of cup pattern
RSI Wave Function Ultimate OscillatorEnglish Explanation of the "RSI Wave Function Ultimate Oscillator" Pine Script Code
Understanding the Code
Purpose:
This Pine Script code creates a custom indicator that combines the Relative Strength Index (RSI) with a wave function to potentially provide more nuanced insights into market dynamics.
Key Components:
* Wave Function: This is a custom calculation that introduces a sinusoidal wave component to the price data. The frequency parameter controls the speed of the oscillation, and the decay factor determines how quickly the influence of past prices diminishes.
* Smoothed Signal: The wave function is applied to the closing price to create a smoothed signal, which is essentially a price series modulated by a sine wave.
* RSI: The traditional RSI is then calculated on this smoothed signal, providing a measure of the speed and change of price movements relative to recent price changes.
Calculation Steps:
* Wave Function Calculation:
* A sinusoidal wave is generated based on the bar index and the frequency parameter.
* The wave is combined with the closing price using a weighted average, where the decay factor determines the weight given to previous values.
* RSI Calculation:
* The RSI is calculated on the smoothed signal using a standard RSI formula.
* Plotting:
* The RSI values are plotted on a chart, along with horizontal lines at 70 and 30 to indicate overbought and oversold conditions.
* The area between the RSI line and the overbought/oversold lines is filled with color to visually represent the market condition.
Interpretation and Usage
* Wave Function: The wave function introduces cyclical patterns into the price data, which can help identify potential turning points or momentum shifts.
* RSI: The RSI provides a measure of the speed and change of price movements relative to recent price changes. When applied to the smoothed signal, it can help identify overbought and oversold conditions, as well as potential divergences between price and momentum.
* Combined Indicator: The combination of the wave function and RSI aims to provide a more sensitive and potentially earlier indication of market reversals.
* Signals:
* Crossovers: Crossovers of the RSI line above or below the overbought/oversold lines can be used to generate buy or sell signals.
* Divergences: Divergences between the price and the RSI can indicate a weakening trend.
* Oscillations: The amplitude and frequency of the oscillations in the RSI can provide insights into the strength and duration of market trends.
How it Reflects Market Volatility
* Amplified Volatility: The wave function can amplify the volatility of the price data, making it easier to identify potential turning points.
* Smoothing: The decay factor helps to smooth out short-term fluctuations, allowing the indicator to focus on longer-term trends.
* Sensitivity: The combination of the wave function and RSI can make the indicator more sensitive to changes in market momentum.
In essence, this custom indicator attempts to enhance traditional RSI analysis by incorporating a cyclical component that can potentially provide earlier signals of market reversals.
Note: The effectiveness of this indicator will depend on various factors, including the specific market, time frame, and the chosen values for the frequency and decay parameters. It is recommended to conduct thorough backtesting and optimize the parameters to suit your specific trading strategy.
Autocorrelogram (YavuzAkbay)The Autocorrelogram (ACF) is a statistical tool designed for traders and analysts to evaluate the autocorrelation of price movements over time. Autocorrelation measures the correlation of a signal with a delayed version of itself, providing insights into the degree to which past price movements influence future price movements. This indicator is particularly useful for identifying trends and patterns in time series data, helping traders make informed decisions based on historical price behavior.
Key Components and Functionality
1. Input Parameters:
Sample Size: This parameter defines the number of data points used in the calculation of the autocorrelation function. A minimum value of 9 ensures statistical relevance. The default value is set to 100, which provides a broad view of the price behavior.
Data Source: Users can select the price data they wish to analyze (e.g., closing prices). This flexibility allows traders to apply the ACF to various price types, depending on their trading strategy.
Significance Level: This parameter determines the threshold for statistical significance in the autocorrelation values. The default value is set at 1.96, corresponding to a 95% confidence level, but users can adjust it to their preferences.
Calculate Change: This boolean option allows users to choose whether to calculate the change in the selected data source (e.g., daily price changes) rather than using the raw data. Analyzing changes can highlight momentum shifts that may be obscured in absolute price levels.
2. Core Calculations:
Simple Moving Average (SMA): The indicator computes the SMA of the selected data source over the defined sample size. This average serves as a baseline for assessing deviations in price behavior.
Variance Calculation: The variance of the price changes is calculated to understand the spread of the data. The variance is scaled by the sample size to ensure that the autocorrelation values are appropriately normalized.
Lag Value: The indicator calculates a lag value based on the sample size to determine how many periods back the autocorrelation will be calculated. This helps in assessing correlations at different time intervals.
3. Autocorrelation Calculation:
The script calculates the autocorrelation for lags ranging from 0 to 53. For each lag, it computes the autocovariance (the correlation of the signal with itself at different time intervals) and normalizes this by the variance. The result is a set of autocorrelation values that indicate the strength and direction of the relationship between current and past price movements.
4. Visualization:
The autocorrelation values are plotted as lines on the chart, with different colors indicating positive and negative correlations. Lines are dynamically drawn for each lag, providing a visual representation of how past prices influence current prices. A maximum of 54 lines (for lags 0 to 53) is maintained, with the oldest line being removed when the limit is exceeded.
Significance Levels: Horizontal lines are drawn at the defined significance levels, helping traders quickly identify when the autocorrelation values exceed the statistically significant threshold. These lines serve as benchmarks for interpreting the relevance of the autocorrelation values.
How to Use the ACF Indicator
Identifying Trends: Traders can use the ACF indicator to spot trends in the data. Strong positive autocorrelation at a given lag indicates that past price movements have a lasting influence on future movements, suggesting a potential continuation of the current trend. Conversely, significant negative autocorrelation may indicate reversals or mean reversion.
Decision Making: By comparing the autocorrelation values against the significance levels, traders can make informed decisions. For example, if the autocorrelation at lag 1 is significantly positive, it may suggest that a trend is likely to persist in the immediate future, prompting traders to consider long positions.
Setting Parameters: Adjusting the sample size and significance level allows traders to tailor the indicator to their specific market conditions and trading style. A larger sample size may provide more stable estimates but could obscure short-term fluctuations, while a smaller size may capture quick changes but with higher variability.
Combining with Other Indicators: The ACF can be used in conjunction with other technical indicators (like Moving Averages or RSI) to enhance trading strategies. Confirming signals from multiple indicators can provide stronger trade confirmations.
Price Action UltimateThe Price Action Ultimate indicator is an innovative tool designed to provide traders with a comprehensive view of price action based on either volume or touches. By default, the indicator displays touches, offering a unique perspective on price levels that have been frequently interacted with by the market.
At its core, the indicator divides the price range of a specified lookback period into a number of rows (default 25). For each row, it calculates either the volume traded or the number of times the price touched that level. This data is then visualized in two ways: as a histogram and as horizontal lines on the chart.
The histogram, displayed on the right side of the chart, represents the distribution of touches (or volume) across different price levels. Each bar in the histogram shows the number of touches and the percentage of total touches for that price level. The color of the bars ranges from a user-defined low activity color to a high activity color, providing a quick visual reference for the most active price levels.
The horizontal lines drawn across the chart represent the most significant levels based on touches (or volume). By default, the indicator displays the top 3 levels, but this can be adjusted. The thickness of these lines corresponds to the relative importance of each level - thicker lines indicate more touches or higher volume. This feature allows traders to quickly identify key support and resistance levels based on historical price action.
One of the most innovative aspects of this indicator is the option to fade older levels over time. When enabled, this feature gradually increases the transparency of lines as they age, with newer levels appearing more prominently. This helps traders focus on the most recent and relevant price action while still maintaining awareness of older, potentially significant levels.
The indicator offers flexibility in its display options. Users can choose to show levels based on volume, touches, or both. This allows traders to compare and contrast different perspectives on price action. Additionally, the indicator includes options to display a volume profile and a background fill for the analysis range, further enhancing its visual appeal and informational content.
What makes this indicator particularly valuable is its ability to provide a clear, uncluttered view of key price levels without relying on complex calculations or multiple indicators. It distills price action down to its essence - where price has spent the most time or where the most trading activity has occurred. This can be incredibly useful for identifying potential support and resistance levels, areas of consolidation, or possible breakout points.
For traders focused on price action strategies, this indicator offers a powerful tool to enhance their analysis. It provides a data-driven approach to identifying significant price levels, which can be used to inform entry and exit decisions, set stop losses, or anticipate potential market reactions.
This indicator is a tool to aid in market analysis and should not be used as the sole basis for trading decisions. Always combine multiple forms of analysis and practice proper risk management when trading. Past performance does not guarantee future results.
Liquidity VisualizerThe "Liquidity Visualizer" indicator is designed to help traders visualize potential areas of liquidity on a price chart. In trading, liquidity often accumulates around key levels where market participants have placed their stop orders or pending orders. These levels are commonly found at significant highs and lows, where traders tend to set their stop-losses or take-profit orders. The indicator aims to highlight these areas by drawing unbroken lines that extend indefinitely until breached by the price action.
Specifically, this indicator identifies and marks pivot highs and pivot lows, which are price levels where a trend changes direction. When a pivot high or pivot low is formed, it is represented on the chart with a horizontal line that continues to extend until the price touches or surpasses that level. The line remains in place as long as the level remains unbroken, which means there is potential liquidity still resting at that level.
The concept behind this indicator is that liquidity is likely to be resting at unbroken pivot points. These levels are areas where stop-loss orders or pending buy/sell orders may have accumulated, making them attractive zones for large market participants, such as institutions, to target. By visualizing these unbroken levels, traders can gain insight into where liquidity might be concentrated and where potential price reversals or significant movements could occur as liquidity is taken out.
The indicator helps traders make more informed decisions by showing them key price levels that may attract significant market activity. For instance, if a trader sees multiple unbroken pivot high lines above the current price, they might infer that there is a cluster of liquidity in that area, which could lead to a price spike as those levels are breached. Similarly, unbroken pivot lows may indicate areas where downside liquidity is concentrated.
In summary, this indicator acts as a "liquidity visualizer," providing traders with a clear, visual representation of potential liquidity resting at significant pivot points. This information can be valuable for understanding where price might be drawn to, and where large movements might occur as liquidity is targeted and removed by market participants.
Straddle Indicator - Padding GuideThe Straddle Indicator is designed to help traders visualize potential market movements by straddling the current price. This indicator draws two horizontal lines on the chart: one positioned above and one below the current price, based on user-defined offsets.
Key Features:
Dynamic Price Levels: The levels are calculated based on the current closing price, allowing the indicator to adapt to changing market conditions in real time.
Customizable Offsets: Traders can customize the offsets for the lines above and below the current price, providing flexibility to align with their trading strategies or market analysis.
Visual Clarity: The indicator displays the price levels as horizontal lines in distinct colors (green for above and red for below) along with corresponding labels showing the exact price levels, facilitating quick reference.
Current Bar Focus: The lines and labels are updated to only reflect the current bar, minimizing chart clutter and making it easy to focus on the most relevant price action.
This indicator is particularly useful for traders employing straddle strategies, as it helps to anticipate potential price movements and plan entries or exits accordingly.
Vertical Lines & Price RangeThis Pine Script indicator visually marks significant historical price points on the chart by drawing vertical lines at intervals of 6 months, 3 months, and 1 month ago. Each vertical line is accompanied by a label indicating the time frame (6M, 3M, 1M). Additionally, it calculates and displays the percentage change between the closing prices at 6 months ago and 3 months ago, as well as between 3 months ago and 1 month ago, using horizontal lines to connect these price points. This tool is useful for analyzing trends and price movements over time, providing traders with a clear visual representation of historical performance.
90 Minute Cycles Full90-Minute Cycles Indicator for London and NY Sessions
This is a more streamlined version of the 90-minute cycle indicator by sunwoo101.
The 90-Minute Cycles Indicator is built to help traders easily follow and trade around key market cycles during the London and New York sessions. Marking important 90-minute intervals and highlighting the True Cycle Open Price provides clear visual cues to help you make more informed trading decisions.
Key Features:
90-Minute Cycles for London and NY: The indicator automatically draws vertical lines marking every 90-minute cycle for the London and NY sessions. These lines are great for timing your trades and spotting potential shifts in market momentum.
True Cycle Open Price: A horizontal line is drawn at the True Cycle Open Price, which stays visible throughout the session. This gives you a key reference point for price levels that tend to act as support or resistance.
Customizable Visuals: You can fully personalize the indicator’s appearance - adjusting the colors and line styles and even controlling when the lines appear - so it blends perfectly with your existing charts.
All Cycles Drawn from the Start: Unlike other indicators, this one draws all the 90-minute cycles right when the session begins, so you can see the full day’s potential market moves as soon as the first cycle starts.
What’s Different About This Indicator:
London Session Support: In addition to the NY session, you now have 90-minute cycles for the London session, complete with its own True Cycle Open Price.
Better Customization: You have more control over the visual aspects of the indicator, so it can be tailored to fit your specific charting preferences.
Complete Cycle Visibility: All cycles are drawn immediately when the session starts, providing a full view of the day’s key moments right from the opening.
How to Use:
This indicator is perfect for scalping and short-term trading. Whether trading Forex or Indices and following SMT concepts, the cycle timing can help you pinpoint the best times for entering and exiting trades. The True Cycle Open Price is a crucial level of support or resistance throughout the session, making it a key marker to watch.
Scalpers: Use the 90-minute cycle lines to time your trades with the market's rhythm.
Day Traders: This indicator tracks the London and NY sessions, making it an excellent tool for day trading strategies where timing is critical.
Multi-Session Support:
Whether you're trading the London or New York session, the indicator will automatically adjust to your time zone and align the cycles to the relevant session. This helps you stay on top of key market activity across major trading hubs without changing anything manually.
NYSE VOLD RatioThe UVOL/DVOL Two-Sided Ratio Histogram is a custom indicator that visualizes the relationship between the up volume ( USI:UVOL ) and down volume ( USI:DVOL ) on any given chart timeframe. The indicator dynamically adjusts to the chart’s timeframe and displays the ratio of USI:UVOL to USI:DVOL in a histogram format, making it easy to spot when the up volume exceeds down volume (and vice versa).
The ratio is calculated as follows:
If USI:UVOL > USI:DVOL : The ratio is USI:UVOL / USI:DVOL , displayed as a positive bar.
If USI:DVOL > USI:UVOL : The ratio is USI:DVOL / USI:UVOL , displayed as a negative bar.
This approach allows traders to quickly gauge market sentiment by comparing buying volume to selling volume. The indicator is centered around a zero line, where:
Positive bars indicate that up volume is stronger than down volume.
Negative bars indicate that down volume is stronger than up volume.
Features:
Dynamic Timeframe: Automatically adjusts to the chart’s selected timeframe.
Two-Sided Histogram: Displays positive and negative bars based on the $UVOL/ USI:DVOL ratio.
Zero Reference Line: A clear horizontal line at 0 to help identify shifts in volume dominance.
Easy Volume Sentiment Analysis: Quickly spot trends in market buying vs. selling pressure.
Use Case:
This indicator is ideal for traders who want a quick, visual representation of market sentiment by comparing volume on the upside (buying pressure) versus downside (selling pressure). It can be used for identifying strong buying or selling pressure and potential reversal points.
