Global Liquidity IndexGlobal Liquidity Index
This indicator tracks worldwide liquidity by aggregating global M2 money supply, the U.S. Treasury General Account (TGA), the Federal Reserve’s Reverse Repo (RRP) facility, and major central bank balance sheets. It offers insight into the overall liquidity environment, often a key driver of risk asset performance.
Penunjuk dan strategi
Global Liquidity IndexGlobal Liquidity Index
This indicator tracks worldwide liquidity by aggregating global M2 money supply, the U.S. Treasury General Account (TGA), the Federal Reserve’s Reverse Repo (RRP) facility, and major central bank balance sheets. It offers insight into the overall liquidity environment, often a key driver of risk asset performance.
Moving average with different timeThis script allowing you to plot up to 6 different types of moving averages (MAs) on the chart, each with customizable parameters such as type, length, source, color, and timeframe. It also allows you to set different timeframes for each moving average.
Key Features:
Multiple Moving Averages: You can add up to 6 different moving averages to your chart.
Each MA can be one of the following types: SMA, EMA, SMMA (RMA), WMA, or VWMA.
Custom Timeframes: Each moving average can be applied to a specific timeframe, giving you flexibility to compare different periods (e.g., a 50-period moving average on the 1-hour chart and a 200-period moving average on the 4-hour chart).
Customizable Inputs:
Type: Choose between SMA, EMA, SMMA, WMA, or VWMA for each MA.
Source: You can select the price data source (e.g., close, open, high, low).
Length: Set the number of periods (length) for each moving average.
Color: Each moving average can be assigned a specific color.
Timeframe: Customize the timeframe for each moving average individually (e.g., MA1 on 15-minute, MA2 on 1-hour).
User Interface:
The script includes a data window display for each moving average, allowing you to control whether to show each MA and configure its settings directly from the settings menu.
Flexible Use:
Toggle individual moving averages on and off with the show checkbox for each MA.
Customize each MA's parameters without affecting others.
Parameters:
MA Type: You can choose between different moving averages (SMA, EMA, etc.).
Source: Price data used for calculating the moving average (e.g., close, open, etc.).
Length: Defines the period (number of bars) for each moving average.
Color: Change the line color for each moving average for better visualization.
Timeframe: Set a different timeframe for each moving average (e.g., 1-day MA vs. 1-week MA).
Example Use Case:
You might use this indicator to track short-term, medium-term, and long-term trends by adding multiple MAs with different lengths and timeframes. For example:
MA1 (20-period) might be an SMA on a 1-hour chart.
MA2 (50-period) might be an EMA on a 4-hour chart.
MA3 (100-period) might be a WMA on a daily chart.
This setup allows you to visually track the market's behavior across different timeframes and better identify trends, crossovers, and other patterns.
How to Customize:
Show/Hide MAs: Enable or disable each moving average from the input menu.
Modify Parameters: Change the MA type, source, length, and color for each individual moving average.
Timeframes: Set different timeframes for each moving average for more detailed analysis.
With this Moving Average Ribbon, you get a versatile and visually rich tool to aid in technical analysis.
SIMON VWAP + EMA 200📈 SIMON VWAP + EMA 200
Take control of the trend with this powerful dual-confluence indicator.
🔹 Dynamic VWAP and smart EMA 200 automatically change color based on price action:
✅ Green/Purple when the market is bullish
🔴 Red/Orange when the market is bearish
Perfect for spotting trend shifts, confirming entries, and staying away from counter-trend traps.
🎯 Built for traders who demand visual clarity and precision.
Crafted by Simón Groove.
🚀 Works on all timeframes.
💡 Ready to trade with an edge?
RSI Multi-Timeframe StatusThis multi-timeframe RSI status indicator provides a comprehensive overview of RSI conditions across four different timeframes (1-minute, 5-minute, 15-minute, and 1-hour) in a clean, organized table format.
The indicator features:
1. **Multi-timeframe RSI Analysis**: Tracks RSI values across four timeframes simultaneously
2. **RSI Trend Detection**: Shows whether each RSI is rising or falling compared to previous bars
3. **Visual Status Indicators**: Color-coded cells instantly show bullish (green), bearish (red), or neutral (gray) conditions
4. **Momentum Tracking**: Displays the numerical change in RSI values to show strength of momentum
5. **Summary Row**: Provides an at-a-glance overview of the overall market bias and trend direction
6. **Configurable Parameters**: Adjustable RSI length, threshold levels, and momentum period
The indicator is designed to help traders identify potential trade setups where multiple timeframes align in the same direction. When more timeframes show similar conditions (all bullish or all bearish) with consistent trend direction (all rising or all falling), it can signal stronger potential trade opportunities.
The status table appears in the top-right corner of your chart and updates in real-time, allowing you to monitor multi-timeframe RSI conditions without switching between timeframes.
UniversoIntroduction
The "Universo" indicator is a sophisticated trend analysis tool designed for the TradingView platform, written in Pine Script v6. It combines multiple technical indicators into a unified system to evaluate market trends and help traders identify potential entry and exit points. By integrating fast, medium, and slow-moving components, it provides a multi-dimensional view of market momentum. The indicator is highly customizable, featuring visual plotting and an optional table for detailed analysis, making it adaptable to various trading styles.
Key Features
Multi-timeframe trend analysis combining fast ("Flash"), medium-fast ("Glide"), and medium-slow ("Echo") indicators, plus hybrid combinations ("Flow" and "Pulse"), into a final "Universus" score.
Customizable long and short thresholds, adjustable between -100 and 100, to suit individual trading preferences.
Optional interactive table displaying current and historical values of key components and metrics like trend direction, Rate of Change (RoC), volatility, and momentum.
Color-coded visualization with multiple themes (e.g., Synthwave, Outrun, Lush) to highlight bullish, bearish, and neutral conditions.
Elegant plotting of a 20-period Simple Moving Average (SMA) with subtle gradients and glow effects for improved chart readability.
How It Works
The "Universo" indicator aggregates data from various technical indicators, computes composite scores, and presents them both visually and numerically. Below is an overview of its components and mechanics.
Core Components
Flash (Fast Indicators): Averages short-term, high-frequency indicators like RSIL, WIL, RSI, STO, FMOMZ, and LLSMA to detect immediate market momentum. Formula: flash = avg(fast_highomega, fast_highsortino) * 100.
Glide (Medium-Fast Indicators): Combines medium-term indicators such as FSPMOM, CCI, AAMDMOM, and ATRF, with weighted entry and exit calculations for a balanced trend perspective. Formula: glide = avg(glide_entry_weighted, glide_exit_weighted) * 100.
Echo (Medium-Slow Indicators): Uses slower indicators like UNUM, COFFEE, UNIGHE, UNIARSIX, and HULLLOOP to assess longer-term trends. Formula: Echo = avg(UNUM.x(0.2, -0.2), COFFEE.x(), ...) * 100.
Flow: Averages Flash and Glide for a short-to-medium-term view. Formula: Flow = avg(flash, glide).
Pulse: Combines Echo and Glide for a medium-to-long-term outlook. Formula: Pulse = avg(Echo, glide).
Universus (Final Score): Averages Flow, Flash, Glide, Echo, and Pulse to provide a comprehensive market condition score. Formula: Universo = avg(Flow, flash, glide, Echo, Pulse).
Visualization
SMA Plot: A 20-period SMA of the closing price is plotted with colors based on the Universus score: bullish (Universus ≥ Long Threshold) in the long color (e.g., cyan in Synthwave), bearish (Universus < Short Threshold) in the short color (e.g., pink in Synthwave), or neutral in gray. Subtle gradients and a glow effect, scaled by trend strength (math.abs(Universus) / 100), enhance readability.
Gradient and Glow: Uses ATR-based bounds (±0.2 ATR for inner gradient, ±0.8 ATR for glow) for a refined visual effect.
Table Display
When enabled, the table shows current and historical data (up to 2 bars ago) for components labeled as Flash ("Ieunium"), Glide ("Centum"), Flow ("Tres"), Echo ("Resonare"), Pulse ("Pulsar"), and Universus ("Universo").
Additional metrics include trend direction (Bullish, Bearish, or Neutral), Rate of Change (RoC) via ta.roc(Universus, 1), volatility via normalized standard deviation over 5 bars (ta.stdev(Universus, 5) / ta.sma(Universus, 5)), and momentum surge via 3-bar momentum normalized by Universus (ta.mom(Universus, 3) / Universus).
The table adapts to light or dark mode, with color-coded cells and a customizable position (e.g., Top Right).
Customization Options
Thresholds: Long threshold (longthreshold) and short threshold (shortthreshold), both defaulting to 0.0 and adjustable from -100 to 100.
Color Themes: Options like Synthwave (#00F1FF long, #FF019A short), Outrun, Lush, selectable via input.
Table Settings: Toggle to show/hide the table (show_table) and choose its position (e.g., Top Right, Top Left).
Practical Application
Day Trading: Use Flash and Glide to spot quick momentum shifts.
Swing Trading: Leverage Echo and Pulse for longer-term trend confirmation.
Trend Following: Rely on the Universus score and SMA for overall direction. The adjustable thresholds and detailed table make it versatile across markets and strategies.
Conclusion
The "Universo" indicator is a robust, all-in-one trend analysis tool for TradingView, blending fast, medium, and slow indicators into a single actionable score. With its elegant visuals and detailed data, it empowers traders with flexibility and depth for informed decisions.
Disclaimer
This indicator is for informational and educational purposes only and is not financial advice. Trading involves risks, and users should perform their own research before relying on its signals. The creator is not liable for any financial outcomes from its use.
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool!
📊 What is AllMA Trend Radar?
AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style.
💡 The main components of the indicator
📈 Fast and slow moving averages
The indicator uses two main lines:
- Fast MA (blue line): reacts faster to price changes
- Slow MA (red line): smoother, reflects a long-term trend
The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market.
🔄 Wide range of moving averages
There are more than 30 types of moving averages at your disposal:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
- DEMA: double exponential MA
- TEMA: triple exponential MA
- HMA: Hull Moving Average
- LSMA: Moving average of least squares
- JMA: Eureka Moving Average
- ALMA: Arnaud Legoux Moving Average
- ZLEMA: moving average with zero delay
- And many others!
🔍 Indicator signals
1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA)
Up/Down signals (intersection)
- Buy (Up) signal:
- What happens: the fast MA crosses the slow MA from bottom to top
- What does the green triangle with the "Buy" label under the candle look
like - What does it mean: a likely upward trend reversal or an uptrend strengthening
- Sell signal (Down):
- What happens: the fast MA crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: a likely downtrend reversal or an increase in the downtrend
Greater/Less signals (ratio)
- Buy signal (Greater):
- What happens: the fast MA becomes higher than the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the formation or confirmation of an uptrend
- Sell signal (Less):
- What happens: the fast MA becomes lower than the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the formation or confirmation of a downtrend
2️⃣ Signals ⚡️ Fast MA (fast MA and price)
Up/Down signals (intersection)
- Buy signal (Up Fast):
- What happens: the price crosses the fast MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a short-term price growth signal
- Sell signal (Down Fast):
- What happens: the price crosses the fast MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a short-term price drop signal
Greater/Less signals (ratio)
- Buy signal (Greater Fast):
- What happens: the price is getting higher than the fast MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the fast MA, which indicates an upward movement
- Sell signal (Less Fast):
- What happens: the price is getting lower than the fast MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the fast MA, which indicates a downward movement
3️⃣ Signals 🐢 Slow MA (slow MA and price)
Up/Down signals (intersection)
- Buy signal (Up Slow):
- What happens: the price crosses the slow MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a potential medium-term upward trend reversal
- Sell signal (Down Slow):
- What happens: the price crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a potential medium-term downward trend reversal
Greater/Less signals (ratio)
- Buy signal (Greater Slow):
- What happens: the price is getting above the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the slow MA, which indicates a strong upward movement
- Sell signal (Less Slow):
- What is happening: the price is getting below the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the slow MA, which indicates a strong downward movement
🛠 Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals of the same type
- Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility
- How to set it up: Set a different value for each signal type (default: 3-5 bars)
- Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later
2️⃣ Advanced indicator filters
🔍 RSI Filter
- What it does: Checks the Relative Strength Index (RSI) value before generating a signal
- Why it is needed: it helps to avoid countertrend entries and catch reversal points
- How to set up:
- For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30)
- For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100)
- Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed
📊 MFI Filter (Cash Flow Index)
- What it does: analyzes volumes and the direction of price movement
- Why it is needed: confirms signals with data on the activity of cash flows
- How to set up:
- For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25)
- For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100)
- Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed
📈 Stochastic Filter
- What it does: analyzes the position of the current price relative to the price range
- Why it is needed: confirms signals based on overbought/oversold conditions
- How to configure:
- You can configure the K Length, D Length and Smoothing parameters
- For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20)
- For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100)
- Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed
🔌 Connecting to trading strategies
The indicator provides various connectors to connect to your trading strategies.:
1️⃣ Individual connectors for each type of signal
- 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA
- 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA
- 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA
- 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA
- 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA
- 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals
2️⃣ Combined connectors
- 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down)
- 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less)
- 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less)
❗️ All connectors return values:
- 1: buy signal
- -1: sell signal
- 0: no signal
📚 How to start using AllMA Trend Radar
1️⃣ Selection of types of moving averages
- Add an indicator to the chart
- Select the type and period for the fast MA (default: DEMA with a period of 14)
- Select the type and period for the slow MA (default: SMA with a period of 14)
- Experiment with different types of MA to find the best combination for your trading style
2️⃣ Signal settings
- Turn on the desired signal types (Up/Down, Greater/Less)
- Set the minimum distance between the signals
- Activate and configure the necessary filters (RSI, MFI, Stochastic)
3️⃣ Checking on historical data
- Analyze how the indicator works based on historical data
- Pay attention to the accuracy of the signals and the presence of false alarms
- Adjust the settings if necessary
4️⃣ Introduction to the trading strategy
- Decide which signals will be used to enter the position.
- Determine which signals will be used to exit the position.
- Connect the indicator to your trading strategy through the appropriate connectors
🌟 Practical application examples
Scalping strategy
- Fast MA: TEMA with a period of 8
- Slow MA: EMA with a period of 21
- Active signals: Fast MA Up/Down
- Filters: RSI (range 1-40 for purchases, 60-100 for sales)
- Signal spacing: 3 bars
Strategy for day trading
- Fast MA: TEMA with a period of 10
- Slow MA: SMA with a period of 20
- Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less
- Filters: MFI (range 1-25 for purchases, 75-100 for sales)
- Signal spacing: 5 bars
Swing Trading Strategy
- Fast MA: DEMA with a period of 14
- Slow MA: VWMA with a period of 30
- Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less
- Filters: Stochastic (range 1-20 for purchases, 80-100 for sales)
- Signal spacing: 8 bars
A strategy for positional trading
- Fast MA: HMA with a period of 21
- Slow MA: SMA with a period of 50
- Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less
- Filters: RSI and MFI at the same time
- The distance between the signals: 10 bars
💡 Tips for using AllMA Trend Radar
1. Select the types of MA for market conditions:
- For trending markets: DEMA, TEMA, HMA (fast MA)
- For sideways markets: SMA, WMA, VWMA (smoothed MA)
- For volatile markets: KAMA, AMA, VAMA (adaptive MA)
2. Combine different types of signals:
- Up/Down signals work better when moving from a sideways trend to a directional
one - Greater/Less signals are optimal for fixing a stable trend
3. Use filters effectively:
- The RSI filter works great in trending markets
- MFI filter helps to confirm the strength of volume movement
- Stochastic filter works well in lateral ranges
4. Adjust the minimum distance between the signals:
- Small values (2-3 bars) for short-term trading
- Average values (5-8 bars) for medium-term trading
- Large values (10+ bars) for long-term trading
5. Use combination connectors:
- For more reliable signals, connect the indicator through the combined connectors
💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
FeraTrading Breakout IndicatorThe FeraTrading Breakout Indicator is built for universal compatibility, working seamlessly across all tickers and timeframes. Its flexibility makes it suitable for a wide range of trading strategies and market conditions. The indicator is engineered to anticipate potential breakout opportunities by combining volatility filtering with dynamic support and resistance detection.
A distinct yellow line is plotted to represent key support or resistance zones when a breakout signal is generated. These levels help confirm directional bias and provide a visual anchor for potential entries or exits.
By combining volatility cues with structural price levels, this indicator offers traders a reliable tool for identifying trend initiation and momentum shifts with clarity and precision.
The user has the option in the indicators settings to display only the first signal of the day (Which is usually the strongest) or every signal of the day.
Liquidation ZonesIntroduction
The "Liquidation Zones" is a sophisticated TradingView indicator designed to assist cryptocurrency traders by highlighting potential liquidation levels for leveraged positions. It identifies price zones where liquidations are likely to occur for various leverage ratios—5x, 10x, 25x, 50x, and 100x—based on pivot points and volume analysis. This tool aims to help traders anticipate market movements driven by liquidations, offering insights into areas of risk or opportunity.
Key Features
Multi-Leverage Visualization: Plots liquidation zones for five leverage levels (5x, 10x, 25x, 50x, 100x), with individual toggles to show or hide each level.
Volume Filtering: Incorporates a customizable volume lookback period to ensure liquidation zones are displayed only during significant market activity.
Pivot-Based Calculations: Uses pivot highs and lows to pinpoint key price levels, forming the foundation for liquidation price estimates.
Customizable Appearance: Allows adjustment of line thickness and assigns unique colors to each leverage level for better visual distinction.
Interactive Dashboard: Features a semi-transparent table displaying the status of each leverage level, using filled (◉) or empty (○) circles to indicate activity.
How It Works
The indicator combines pivot point detection, volume conditions, and leverage-specific calculations to plot liquidation zones on the chart. Here’s a breakdown of its operation:
Pivot Points: Pivot highs and lows are calculated using ta.pivothigh and ta.pivotlow. The lookback and lookforward periods adjust dynamically based on the timeframe (e.g., 2 bars for daily/weekly/monthly, 3 bars otherwise), ensuring relevant support and resistance levels.
Volume Conditions: The check_volume_conditions function analyzes volume over a user-defined lookback period (default: 40 bars). It compares the average volume to a mean volume
threshold:
5x Leverage: Volume > mean volume.
10x Leverage: Volume ≥ 1.025 × mean volume.
25x Leverage: Volume ≥ 1.05 × mean volume.
50x Leverage: Volume ≥ 1.1 × mean volume.
100x Leverage: Volume ≥ 1.2 × mean volume.
These conditions filter out low-volume periods, focusing on impactful market activity.
Liquidation Price Calculation:
For each leverage level, liquidation prices are derived from pivot points and a risk percentage:
Long Liquidations (from pivot lows): pivot_low / (1 + risk_percent)
5x: 0.20, 10x: 0.10, 25x: 0.04, 50x: 0.02, 100x: 0.01
Short Liquidations (from pivot highs): pivot_high * (1 + risk_percent)
These prices represent where leveraged positions might be liquidated based on the leverage used.
Plotting Liquidation Zones: When volume conditions are met and the toggle is enabled, horizontal lines are drawn from the pivot point to the current bar at the calculated liquidation prices. Each leverage level has a distinct color (e.g., cyan for 5x, pink for 100x), with adjustable line thickness (default: 3). Lines persist until the price crosses them or the maximum line count (500) is reached.
Dashboard: A table on the chart’s middle-right displays each leverage level’s status. A filled circle (◉) appears when the volume condition is met and the level is active; an empty circle (○) indicates inactivity. The dashboard uses matching colors for clarity.
Time Filter: The indicator activates only after a user-defined start time (default: January 1, 2023), with a gray background displayed if the chart is outside this period.
Conclusion
The "Liquidation Zones | Opus" indicator is a valuable tool for traders navigating leveraged markets. By plotting liquidation zones tied to pivot points and filtered by volume, it highlights potential areas of price instability. Its flexibility—through toggles, visual settings, and the dashboard—makes it suitable for diverse trading strategies, from scalping to swing trading. Traders can use it to enhance risk management or identify liquidation-driven opportunities.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own analysis before making decisions. The creator is not liable for any financial outcomes resulting from its use.
Fourier Smoothed Volume Zone OscillatorIntroduction
The "Fourier Smoothed Volume Zone Oscillator" is an advanced technical analysis tool designed for traders on the TradingView platform. Its primary purpose is to help traders identify overbought and oversold conditions in the market by analyzing volume and price data through a unique combination of Fourier smoothing and oscillator techniques. By leveraging the Fast Fourier Transform (FFT) to smooth the input data and integrating a dynamically adjusted Volume Zone Oscillator (VZO), this indicator provides clear visual signals for potential trend reversals and market extremes. It is particularly useful for traders looking to enhance their decision-making process with precise, noise-reduced signals in volatile or trending markets.
Key Features
Fourier Transform Smoothing: Utilizes the Fast Fourier Transform (FFT) to smooth the input data, reducing market noise and highlighting significant price movements.
Dynamic EMA Adjustment: Adjusts the smoothing period of the VZO based on market conditions, ensuring the oscillator remains responsive to changes in momentum.
White Noise Calculation: Incorporates Ehler's Universal Oscillator to filter out white noise, providing a cleaner signal for trend analysis.
Customizable Color Themes: Offers a variety of color schemes (e.g., Synthwave, Outrun, Lush) to suit user preferences and enhance visual clarity.
Overbought/Oversold Zone Visualization: Uses gradient-filled zones and optional arrow markers to clearly indicate overbought and oversold conditions on both the oscillator and price chart.
How It Works
The "Fourier Smoothed Volume Zone Oscillator" combines several advanced techniques to deliver a refined view of market conditions:
Fourier Transform (FFT): The indicator applies the FFT to the selected input source (default: close price) over a user-defined period (default: 3). This transformation smooths the data by extracting its frequency components, reducing short-term noise while preserving significant trends. The smoothed data is then processed using a rational quadratic kernel for further refinement.
White Noise Filtering: Using Ehler's Universal Oscillator, the indicator calculates a white noise component to filter out irrelevant price fluctuations. This helps isolate meaningful market movements and improves the accuracy of the VZO.
Volume Zone Oscillator (VZO): The VZO is calculated by comparing the weighted moving average of volume (adjusted by the sign of price changes) to the simple moving average of volume. This oscillator highlights periods of accumulation (positive values) and distribution (negative values). The VZO is further smoothed using a dynamically adjusted Exponential Moving Average (EMA), which adapts based on the alignment between the Universal Oscillator and the VZO's trend.
Dynamic Smoothing: The EMA length for smoothing the VZO is adjusted dynamically based on whether the Universal Oscillator and VZO are in agreement. When both indicators suggest the same market direction, the EMA length increases for smoother signals. When they diverge, the EMA length decreases to make the VZO more responsive to potential reversals.
Visual Representation: The indicator plots the VZO and its lagged version, with color changes indicating momentum shifts. Gradient-filled zones highlight overbought (default: above 60) and oversold (default: below -60) conditions. Users can choose to display either small arrow markers on the price chart or background color highlights to indicate these zones. Additionally, diamond-shaped markers on the VZO plot signal crossovers and crossunders, providing further insight into momentum changes.
These elements work together to offer traders a clear and actionable view of market conditions, helping them identify potential entry and exit points with greater confidence.
Conclusion
The "Fourier Smoothed Volume Zone Oscillator" is a powerful tool for traders seeking to navigate market extremes with precision. By combining Fourier smoothing, dynamic EMA adjustment, and white noise filtering, it delivers noise-reduced signals that are both clear and responsive. Its customizable visualizations—ranging from color themes to overbought/oversold indicators—make it adaptable to various trading styles and preferences. Whether used for identifying reversals in trending markets or spotting accumulation and distribution phases, this indicator provides valuable insights to support informed trading decisions.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading involves significant risk, and users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
FeraTrading Compression IndicatorThe FeraTrading Compression Indicator is designed to identify potential breakouts from consolidation zones or at critical support and resistance levels. It combines volatility filtering with precise candle analysis to reduce market noise and highlight high-probability setups. An arrow is formed when all criteria's are reached. This methodology aims to catch significant price movements while avoiding false breakouts, helping traders make more confident and informed decisions.
The indicator features a single adjustable setting that controls signal sensitivity. This value ranges from 0.01 to 1 (default: 0.75).
Higher values (e.g., 0.8–1) generate more signals by relaxing the detection criteria, which may include more false positives.
Lower values (e.g., 0.01–0.3) apply stricter filtering, showing fewer but potentially more reliable signals.
The indicator aims to find the upcoming trend no matter what the chart is doing. The trend may last for 15 minutes or a few hours.
RSI Pullback MA20 Strategyninhonline filter:
RSI(14) > EMA(RSI, 6),
RSI > 55 or 60,
prin MA20 AND MA50,
pull back MA20.
Dhokiya's Research Analyst-Chetan DhokiyaDescription of "Dhokiya's Research Analyst - Chetan Dhokiya"
Overview: The "Dhokiya's Research Analyst" script is designed for traders who want to identify key price levels based on the first 5-minute candle of the trading day. This script operates within the Indian stock market's trading hours, specifically from 9:15 AM to 3:25 PM. It calculates and visualizes upper and lower price levels derived from the closing price of the first 5-minute candle, providing traders with potential support and resistance levels for the day.
Key Features:
Market Timing: The script is programmed to recognize the market's opening and closing times, ensuring that it only operates during active trading hours.
First 5-Minute Candle Identification: The script identifies the first 5-minute candle of the trading day, which is crucial for setting the day's initial price levels.
Dynamic Level Calculation: It calculates two key levels based on the closing price of the first 5-minute candle:
Upper Level: Set at 0.09% above the closing price of the first candle.
Lower Level: Set at 0.09% below the closing price of the first candle.
Visual Representation: The script draws horizontal lines on the chart to represent the upper and lower levels, allowing traders to easily visualize these critical price points. The upper level is indicated with a green line, while the lower level is shown with a red line.
Line Extension: The lines are dynamically extended throughout the trading day until the market closes at 3:25 PM, providing continuous reference points for traders.
How to Use:
Setup: Add the script to your trading platform during the market hours. Ensure that you are viewing a 5-minute chart for optimal results.
Trading Strategy: Use the upper and lower levels as potential entry and exit points. Traders may consider buying above the upper level and selling below the lower level, depending on market conditions and additional analysis.
Risk Management: Always incorporate risk management strategies when trading around these levels, as price action can be volatile.
Underlying Concepts:
The script leverages the concept of the first candle's price action to establish a framework for the day's trading. The rationale is that the initial price movement can set the tone for the rest of the trading day.
By calculating levels slightly above and below the first candle's close, the script aims to capture potential breakout and reversal points, which are critical for day trading strategies.
Conclusion: "Dhokiya's Research Analyst" is a valuable tool for traders looking to enhance their intraday trading strategies. By focusing on the first 5-minute candle and establishing key price levels, this script provides a structured approach to navigating the market's daily fluctuations. Traders are encouraged to combine these levels with other technical analysis tools and indicators for a comprehensive trading strategy.
0.09 Version Strategy Indicator by Dhokiya's Research Analyst
Mobile - 7575065656
Website - dhokiyas.com/
Email - care@dhokiyas.com
Bitcoin Full Cycle ValuationIntroduction
The "Bitcoin Full Cycle Valuation" is a sophisticated TradingView indicator designed to provide traders and analysts with a comprehensive view of Bitcoin's market conditions. By integrating a diverse set of fundamental and technical indicators, this tool calculates Z-scores to assess whether Bitcoin is overbought, oversold, or in a neutral state. Its primary purpose is to assist users in making informed trading decisions by offering a multi-dimensional evaluation of Bitcoin's valuation, leveraging on-chain data, market sentiment, and technical analysis.
Key Features
Multi-Dimensional Valuation: Combines a wide array of indicators, including MVRV, Bitcoin Thermocap, NUPL, CVDD, SOPR, RSI, CCI, Normalized Moving Averages, Sharpe Ratio, Pi Cycle, NHPF, and VWAP, to deliver a holistic perspective on Bitcoin's market state.
Z-Score Calculation: Normalizes each indicator into a Z-score, enabling standardized comparisons across different metrics and timeframes.
Customizable Visualization: Allows users to select which Z-score to plot (e.g., MVRV, RSI, Average Z-Score) and adjust parameters for each indicator to align with their analysis preferences.
Dynamic Table Display: Presents a detailed table with Z-scores, market conditions (e.g., OverBought, OverSold), and Rate of Change (ROC) for each indicator, enhanced with fixed-width bars for quick visual interpretation.
Bar Coloring and Background Effects: Colors the chart’s price bars based on the selected Z-score and uses background gradients to highlight extreme market conditions, improving visual clarity.
How It Works
The "Bitcoin Valuation Model | Opus" calculates Z-scores for a variety of indicators, each designed to capture distinct aspects of Bitcoin’s market dynamics. These Z-scores are derived using user-defined parameters for smoothing, mean, and scale, offering flexibility for different trading strategies. Below is an overview of the indicators and their roles:
Fundamental Indicators
MVRV (Market Value to Realized Value): Evaluates whether Bitcoin is overvalued or undervalued compared to its realized price, using on-chain data from IntoTheBlock.
Bitcoin Thermocap: Assesses Bitcoin’s price relative to the cumulative cost of mining, normalized over time, starting from January 1, 2012.
NUPL (Net Unrealized Profit/Loss): Measures the overall profit or loss of Bitcoin holders, sourced from Glassnode and CoinMetrics data.
CVDD (Cumulative Value Days Destroyed): Analyzes coin age destruction to infer market tops and bottoms, incorporating volume and market cap data.
SOPR (Spent Output Profit Ratio): Indicates whether spent coins are in profit or loss, providing insight into holder behavior.
Technical Indicators
RSI (Relative Strength Index): Measures the speed and change of price movements to identify overbought or oversold conditions.
CCI (Commodity Channel Index): Detects cyclical trends in Bitcoin’s price movements.
Normalized Moving Averages: Combines multiple moving averages (SMA, EMA, WMA, Median, DEMA) to evaluate trend strength.
Sharpe Ratio: Assesses risk-adjusted returns over a user-defined period.
Pi Cycle: Uses long and short moving averages to detect potential market tops.
NHPF (Normalized Hodrick-Prescott Filter): Applies a filter to separate trend and cycle components of Bitcoin’s price.
VWAP (Volume-Weighted Average Price): Tracks the average price weighted by volume, reset daily.
Z-Score Calculation and Aggregation
Each indicator’s Z-score is calculated by normalizing its raw value against a subjective mean and scale, often smoothed with moving averages or other techniques. The indicator then computes three composite Z-scores:
Fundamental Z-Score: Average of MVRV, Bitcoin Thermocap, NUPL, CVDD, and SOPR.
Technical Z-Score: Average of RSI, CCI, Normalized Moving Averages, Sharpe Ratio, Pi Cycle, NHPF, and VWAP.
Average Z-Score: Average of all twelve indicators.
Visualization
The indicator offers several visualization options:
Plotted Lines and Areas: Users can plot a selected Z-score, with color gradients indicating overbought (pink) or oversold (cyan) conditions.
Horizontal Lines: Reference thresholds at ±1, ±2, and ±3 to gauge the magnitude of Z-scores.
Background Gradients: Highlight extreme conditions when Z-scores exceed user-defined thresholds (e.g., ±2), with dynamic opacity.
Bar Coloring: Optionally colors price bars based on the selected Z-score for rapid visual reference.
Table Display: A customizable table shows each indicator’s Z-score, market condition (e.g., "OverBought," "Slightly OS"), and ROC over a user-defined period (default 7 days), with fixed-width bars for Z-score magnitude.
Conclusion
The "Bitcoin Full Cycle Valuation" is a robust tool for traders and analysts aiming to understand Bitcoin’s market dynamics through a data-driven lens. By aggregating and normalizing a diverse set of indicators into Z-scores, it offers a clear, comprehensive view of Bitcoin’s valuation—whether overvalued, undervalued, or fairly priced. Its customizable settings and rich visualizations make it adaptable to various trading styles, providing valuable insights for both short-term and long-term strategies.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, and users should conduct their own research and analysis before making decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Hourly OHLC Lines UTC-4Hourly OHLC Lines Indicator (UTC-4)
This custom Pine Script indicator plots the Open, High, and Low prices for each hour, adjusted to UTC-4 time. The lines are dynamically drawn and updated for every new hour, with the option to set a maximum number of lines to display on the chart. The label for each hour can be customised with user inputs to change the color, size, and font.
Features:
• Hourly Open, High, Low Lines: The script draws separate lines for the Open, High, and Low prices for each hour (in UTC-4).
• Customizable Labels: Easily modify the label color, font size, and text color for each hourly mark.
• Automatic Hourly Update: The script automatically adjusts as the chart progresses, maintaining up to the most recent lines for up to 24 hours (or a custom limit).
• Time Zone Adjustment: Converts the chart’s time to UTC-4 to fit the requirements for users in specific time zones (such as New York or Eastern Time).
• Line and Label Visibility: You can adjust the maximum number of lines to keep the chart clean, allowing for effective tracking without overcrowding.
Customization Options:
• Max Lines to Display: Set the maximum number of lines visible at any time (default is 24 hours).
• Label Settings: Fully customize the appearance of labels with options for color, size, and font style.
Use Cases:
• Ideal for traders who need to track key hourly levels (Open, High, Low) in the Eastern Time Zone (UTC-4).
• Great for monitoring hourly price action in relation to key levels across the trading day.
• Can be used for intraday strategies to mark key support and resistance levels as each new hour unfolds.
⸻
Majors Rotation System IIIntroduction
The "Majors Rotation System II" indicator is an advanced portfolio rotation system designed for traders on the TradingView platform. It dynamically allocates investments across major cryptocurrencies—Solana (SOL), Bitcoin (BTC), and Ethereum (ETH)—based on their relative performance. By employing a sophisticated scoring mechanism that integrates technical indicators and statistical tests, this indicator aims to identify and invest in the strongest assets in the market. It also provides detailed backtesting metrics and customizable visualizations, allowing users to compare the system's performance against a simple Bitcoin buy-and-hold (HODL) strategy. This tool is particularly useful for cryptocurrency traders seeking a systematic approach to portfolio management.
Key Features
Dynamic Asset Rotation: Automatically selects and allocates to the top-performing cryptocurrencies (SOL, BTC, ETH) based on a custom scoring algorithm.
Comprehensive Scoring Mechanism: Combines technical indicators such as Relative Strength Index (RSI) and Exponential Moving Average (EMA) with statistical tests like the Augmented Dickey-Fuller (ADF) test to evaluate asset performance.
Backtesting Metrics: Provides key performance indicators including Sharpe Ratio, Sortino Ratio, Omega Ratio, Maximum Drawdown, and Net Profit, calculated for both the system and a Bitcoin HODL baseline.
Customizable Visualization: Offers a variety of color themes (e.g., Synthwave, Outrun, Lush) and table display options (Signal-Focused or Detailed) for a tailored user experience.
Equity Curve Comparison: Plots the system's equity curve alongside a Bitcoin HODL equity curve, with an optional glow effect for enhanced visual clarity.
How It Works
The "Myriad | Opus" indicator operates through a multi-step process to evaluate and manage a cryptocurrency portfolio:
Asset Scoring: Each asset (SOL, BTC, ETH) is assigned a performance score based on its relative strength compared to the others. This score is calculated using a blend of technical indicators (e.g., RSI, EMA) and statistical measures (e.g., ADF test for stationarity), sourced from imported libraries and custom functions.
Ranking and Selection: The assets are ranked according to their scores, and the top performers are selected for allocation. The system can hold up to three assets simultaneously, with weightings adjusted dynamically based on the number of selected assets. If no assets meet the performance criteria, the system defaults to "CASH."
Market Trend Analysis: The indicator assesses the overall market trend using additional metrics like Equanim valuation. It adjusts its allocation strategy based on whether the market is bullish or bearish, potentially reducing exposure during unfavorable conditions.
Equity Curve Calculation: The system simulates the portfolio's performance by calculating an equity curve based on the returns of the selected assets, starting from a user-defined date (default: January 1, 2018) with an initial capital of 1 unit. It also computes a Bitcoin HODL equity curve for comparison, reflecting the performance of holding Bitcoin over the same period.
Visual Representation: The equity curves are plotted on the chart with customizable glow effects (controlled by intensity settings) to enhance readability. Users can choose between two table styles:
Signal-Focused Table: Displays the current system state (ON/OFF), dominant assets, and basic performance metrics like profit and maximum drawdown.
Detailed Table: Offers a comprehensive breakdown of backtesting metrics (Sharpe, Sortino, Omega, Maximum Drawdown, Net Profit) for both the system and Bitcoin HODL, alongside the dominant assets and system state.
This process provides users with real-time insights into the portfolio's performance and its comparison to a passive Bitcoin strategy.
Conclusion
The "Majors Rotation System II" indicator offers traders a robust tool for optimizing their cryptocurrency portfolios through systematic asset rotation. By identifying top-performing assets and providing detailed performance metrics, it empowers users to navigate the volatile crypto markets with greater clarity and confidence. The customizable visualizations and comparative equity curves enhance its utility, making it a valuable resource for traders aiming to refine their strategies and evaluate performance objectively.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, and users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Ichimoku Cloud Breakout StrategyIchimoku break out strategy strategy optimized only for XRP on 5 min chart
Majors Rotation System IIntroduction
The "Majors Rotation System I" is an advanced TradingView indicator designed to assist traders in identifying and capitalizing on the performance of major cryptocurrencies. Analyzing Bitcoin (BTC), Ethereum (ETH), and Solana (SOL), this system dynamically rotates investments into the top-performing assets using a sophisticated scoring mechanism. It provides insights into market trends and asset strength, empowering traders to make informed decisions in the cryptocurrency market.
Key Features
Asset Rotation System:Dynamically allocates to the strongest cryptocurrencies based on a custom scoring algorithm.
Market Trend Analysis:Adjusts allocation strategy by incorporating the overall cryptocurrency market trend.
Customizable Visualization:Offers multiple color themes (e.g., Synthwave, Outrun) and table display options (Signal-Focused or Detailed) for a tailored user experience.
Performance Metrics:Includes detailed backtesting metrics such as Sharpe Ratio, Sortino Ratio, Omega Ratio, and Maximum Drawdown.
Equity Curve Visualization:Plots the system's performance against a Bitcoin buy-and-hold strategy, with optional glow effects for enhanced readability.
How It Works
The "Majors Rotation System" uses a multi-step process to evaluate and select cryptocurrencies for investment:
Asset Scoring:Each asset (Bitcoin, Ethereum, Solana) is scored using relative strength indicators (RSI), exponential moving averages (EMA), and Augmented Dickey-Fuller (ADF) statistical tests. Scores reflect an asset's strength relative to the others.
Ranking and Selection:Assets are ranked by their scores, and the top performers (up to three) are selected as "winners" for allocation, based on predefined thresholds.
Market Trend Consideration:The system evaluates the total cryptocurrency market trend using the market cap's RSI and Supertrend indicators. It adjusts its behavior—favoring active allocation in bullish trends or switching to "OFF" (cash) in bearish conditions.
Equity Curve Calculation:Simulates the performance of the rotation strategy by tracking returns from selected assets and compares it to a Bitcoin buy-and-hold baseline, factoring in leverage.
Visual Representation:Displays equity curves for the system and Bitcoin HODL with customizable glow effects. Two table options—Signal-Focused (current state) and Detailed (metrics and winners)—provide real-time insights.
Conclusion
The "Majors Rotation System" is a robust tool for navigating the cryptocurrency markets. By systematically rotating into high-performing assets and adapting to market conditions, it helps traders optimize their portfolio allocation. Its detailed metrics and customizable visualizations offer transparency and clarity, making it valuable for strategic decision-making.
Disclaimer
This indicator is provided for informational and educational purposes only and should not be considered financial advice. Users are encouraged to conduct their own research and analysis before making trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Active Session Marker [Simple - Chart Timezone]marks active session
Asia
EU
US
handy tool for day trading
EquanimIntroduction
The "Equanim" indicator is a versatile tool designed for traders and analysts on the TradingView platform. It utilizes Z-scores to help identify market trends and potential overbought or oversold conditions. By providing clear signals through crossovers and extreme Z-score values, this indicator aims to enhance traders' ability to make informed decisions in various market environments. Whether used for trend following or spotting potential reversal points, "Equanim | Opus" offers valuable insights into market dynamics.
Key Features
Dual Z-Score Calculation:The indicator computes both a raw Z-score and a smoothed Z-score, allowing users to analyze both immediate market deviations and longer-term trends.
Trend Identification:Users can identify potential trend changes or continuations through crossovers of the zero line and between the raw and smoothed Z-scores.
Overbought/Oversold Detection:Extreme Z-score values can indicate when the market may be overextended, potentially signaling reversal opportunities.
Customizable Visualization:While the focus is on functionality, the indicator also offers various color themes to suit user preferences, ensuring a comfortable and intuitive experience.
How It Works
The "Equanim" indicator calculates a raw Z-score (z1) by averaging two Z-score functions and then computes a smoothed Z-score (z2) using a 10-period simple moving average of a scaled version of z1. These calculations provide the foundation for identifying trends and overbought/oversold conditions.
Trend Identification:
Zero Line Crossover: When the raw Z-score crosses above the zero line, it may indicate the start of an uptrend. Conversely, a cross below the zero line could signal the beginning of a downtrend.
Z-Score Crossover: When the raw Z-score crosses above the smoothed Z-score, it might suggest strengthening momentum in the current trend. A cross below the smoothed Z-score could indicate weakening momentum or a potential trend reversal.
Overbought/Oversold Conditions:
Overbought: High positive values of the Z-score (e.g., above 1.8) may indicate overbought conditions, suggesting a potential pullback or reversal.
Oversold: Low negative values (e.g., below -1.5) could signal oversold conditions, potentially leading to a bounce or reversal.
The indicator includes plots and filled areas that provide visual cues to these conditions:
A horizontal zero line serves as a reference for identifying positive or negative deviations.
The raw Z-score plot changes color based on its value, highlighting different market states.
The smoothed Z-score plot uses a color gradient to indicate the strength and direction of the trend.
Filled areas between the plots and the zero line visually represent the magnitude and direction of deviations, aiding in quick interpretation.
These visual elements work together to offer users a clear and intuitive way to interpret market conditions and potential trading signals.
Conclusion
The "Equanim" indicator offers traders a powerful tool for identifying trends and potential reversal points through its innovative use of Z-scores. By combining raw and smoothed Z-scores, it provides insights into both short-term market movements and longer-term trends. Whether used for trend following or identifying overbought/oversold conditions, this indicator can be a valuable addition to any trader's toolkit, enhancing their ability to make informed and confident trading decisions.
Disclaimer
This indicator is provided for informational and educational purposes only and should not be considered as financial advice. Users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains that may result from its use.
📊 TrendTracker Pro by Pinku📊 TrendTracker Pro by Pinku - A Powerful Trend Detection Tool 🚀
TrendTracker Pro by Pinku is a cutting-edge trading indicator designed to help traders identify the market’s trend with precision and clarity. Whether you're a beginner or an experienced trader, this tool simplifies the process of determining whether the market is in an uptrend, downtrend, or sideways.
🔍 Key Features:
Uptrend Detection 🔼: This indicator highlights when the market is moving upwards, signaling a potential buy opportunity.
Downtrend Detection 🔽: Identifies a downtrend in the market, indicating a possible selling opportunity.
Sideways Market ⏸️: The indicator also recognizes when the market is consolidating or moving sideways, allowing you to avoid risky trades during uncertain market conditions.
Customizable Settings: Adjust the Fast EMA and Slow EMA lengths, along with the sideways buffer percentage to fine-tune the trend detection based on your preferred trading strategy.
Table Display: The trend information is displayed in a clear and concise table on your chart, making it easy to track the market's direction at a glance.
Multiple Positions: You can choose where you want to position the trend table on your chart (Top Left, Top Right, Bottom Left, Bottom Right).
📈 How It Works:
The indicator uses a dual EMA strategy to detect market trends. By comparing the Fast EMA (20) and Slow EMA (50), it calculates the trend direction.
A buffer zone is applied to determine sideways market conditions when the difference between the two EMAs is minimal.
The result is a dynamic, easy-to-read trend table that updates in real-time as market conditions change.
💡 Perfect for:
Swing traders who want to capitalize on clear market trends.
Scalpers looking for precise and fast trend signals.
Trend-following traders who rely on moving averages and other technical indicators to make informed trading decisions.
New traders who are still learning how to identify trends and make profitable trades.
Why Use TrendTracker Pro?
In today’s fast-moving market, being able to identify trends quickly and accurately is crucial for success. TrendTracker Pro by Pinku streamlines this process by providing a simple yet powerful trend detection tool that can be used on any chart and time frame.
💥 Get Started Now: Simply add TrendTracker Pro by Pinku to your TradingView chart, adjust the settings according to your preference, and start seeing the market trends in real-time. Let it guide you to make smarter, more informed trading decisions.
Disclaimer:
Trading involves risk. Always do your own research and make decisions based on your risk tolerance and trading strategy.
This indicator does not guarantee profits and should be used as part of a broader risk management strategy.
Akshay - TheOne, TheMostWanted, TheUnbeatable, TheEnd➤ All-in-One Solution (❌ no repaint):
This Technical Chart contains, MA20 Condition (Based on MA24), Supertrend Indicator, HalfTrend Signal, Ichimoku Cloud Status, Parabolic SAR (P_SAR), First 5-Minute Candle Analysis (ORB5min), Volume-Weighted Moving Average (VWMA), Price-Volume Trend (PVT), Oscillator Composite, RSI Condition, ADX & Trend Strength.
Technicals don't lie.
🚀 Overview and Key Features
Comprehensive Multi-Indicator Approach:
The script is built to be an all-in-one technical indicator on TradingView. It integrates several well-known indicators and overlays—including Supertrend, HalfTrend, Ichimoku Cloud, various moving averages (EMA, SMA, VWMA), oscillators (Klinger, Price Oscillator, Awesome Oscillator, Chaikin Oscillator, Ultimate Oscillator, SMI Ergodic Oscillator, Chande Momentum Oscillator, Detrended Price Oscillator, Money Flow Index), ADX, and Donchian Channels—to create a composite picture of market sentiment.
Signal Generation and Alerts:
It not only calculates these indicators but also aggregates their output into “Master Candle” signals. Vertical lines are drawn on the chart with corresponding alerts to indicate potential buy or sell opportunities based on robust, combined conditions.
Visual Layering:
Through the use of colored histograms, custom candle plots, trend lines, and background color changes, the script offers a multi-layered visual representation of data, providing clarity about both short-term signals and overall market trends.
⚙️ How It Works and Functionality
MA20 Condition (Based on MA24):
Uses the 24-period moving average as a proxy; if the price is above it, the bar is colored green, and red if below, with neutrality when conditions aren’t met.
Supertrend Indicator:
Evaluates price relative to the Supertrend level (calculated via ATR), coloring green when price is above it and red when below.
HalfTrend Signal:
Determines trend shifts by comparing the current close to a calculated trend level; green indicates an upward trend, while red suggests a downtrend.
Ichimoku Cloud Status:
Analyzes the relationship between the Conversion and Base lines; a bullish (green) signal is given when price is above both or the Conversion line is higher than the Base line.
Parabolic SAR (P_SAR):
Colors the signal based on whether the current price is above (green) or below (red) the Parabolic SAR marker, indicating stop and reverse conditions.
First 5-Minute Candle Analysis (ORB5min):
Uses key levels from the first 5-minute candle; if price exceeds the candle’s low, VWAP, and MA, it’s bullish (green), otherwise bearish (red).
Volume-Weighted Moving Average (VWMA):
Compares the current price to volume-weighted averages; a price above these levels is shown in green, below in red.
Price-Volume Trend (PVT):
Determines bullish or bearish momentum by comparing PVT to its VWAP—green when above and red when below.
Oscillator Composite:
Aggregates signals from multiple oscillators; a majority of positive results turn it green, while negative dominance results in red.
RSI Condition:
Uses a simple RSI threshold of 50, with values above signifying bullish (green) momentum and below marking bearish (red) conditions.
ADX & Trend Strength:
Reflects overall trend strength through ADX and directional movements; a combination favoring bullish conditions colors it green, with red signaling bearish pressure.
Master Candle Overall Signal:
Combines multiple indicator outputs into one “Master” signal—green for a consensus bullish trend and red for a bearish outlook.
Scalp Signal Variation:
Focused on short-term price changes, this signal adjusts quickly; green indicates improving short-term conditions, while red signals a downturn.
📊 Visualizations and 🎨 User Experience (❌ no repaint)
Dynamic Histograms & Bar Plots:
Each indicator is represented as a colored bar (with added vertical offsets) to facilitate easy comparison of their respective bullish or bearish contributions.
Clear Color-Coding & Labels:
Green (e.g., GreenFluorescent) indicates bullish sentiment.
Red (e.g., RedFluorescent) indicates bearish sentiment.
Custom labels and descriptive text accompany each bar for clarity.
Interactive Charting:
The overall background color adapts based on the “Master Candle” condition, offering an instant read on market sentiment.
The current candlestick is overlaid with color cues to reinforce the indicator’s signal, enhancing the trading experience.
Real-Time Alerts:
Vertical lines appear on signal events (buy/sell triggers), complemented by alerts that help traders stay on top of actionable market moves.
Sharp lines:
The Sharp lines are plotted based upon the EMA5 cross over with the same market trend, marks this as good time to reentry.
🔧 Settings and Customization
Flexible Timeframe Input:
Users can select their preferred timeframe for analysis, making the indicator adaptable to intraday or longer-term trading styles.
Customizable Indicator Parameters:
➤ Supertrend: Adjust ATR length and multiplier factors.
➤ HalfTrend: Tweak amplitude and channel deviation settings.
➤ Ichimoku Cloud & Oscillators: Fine-tune the conversion/base lines and oscillator lengths to match individual trading strategies.
Visual Customization:
The script’s color schemes and plotting styles can be altered as needed, giving users the freedom to tailor the interface to their taste or existing chart setups.
🌟 Uniqueness of the Concept
Integrated Multi-Indicator Synergy:
Combines a diverse range of trend, momentum, and volume-based indicators into a single cohesive system for a holistic market view.
Master Candle Aggregation:
Consolidates numerous individual signals into a "Master Candle" that filters out noise and provides a clear, consensus-based trading signal.
Layered Visual Feedback:
Uses color-coded histograms, adaptive background cues, and dynamic overlays to deliver a visually intuitive guide to market sentiment at a glance.
Customization and Flexibility:
Offers adjustable parameters for each indicator, allowing users to tailor the system to fit diverse trading styles and market conditions.
✅ Conclusion:
Robust Trading Tool & Non-Repainting Reliability:
This versatile technical analysis tool computes an extensive range of indicators, aggregates them into a stable, non-repainting “Master Candle” signal, and maintains consistent, verifiable outputs on historical data.
Holistic Market Insight & Consistent Signal Generation:
By combining trend detection, momentum oscillators, and volume analysis, the indicator delivers a comprehensive snapshot of market conditions and generates dependable signals across varying timeframes.
User-Centric Design with Rich Visual Feedback:
Customizable settings, clear color-coded outputs, adaptive backgrounds, and real-time alerts work together to provide actionable, transparent feedback—enhancing the overall trading experience.
A Unique All-in-One Solution:
The integrated approach not only simplifies complex market dynamics into an easy-to-read visual guide but also empowers systematic traders with a powerful, adaptable asset for accurate decision-making.
❤️ References for study:
Pine Script™ User Manual
Supertrend
HalfTrend
Ichimoku Cloud
Parabolic SAR
Price Volume Trend (PVT)
Average Directional Index (ADX)
Volume Oscillator
