ADEDA v3ADEDA v3 - Advanced Divergence and Extended Distance Analysis
ADEDA v3 is a versatile TradingView indicator primarily focused on identifying profitable short duration trades by attempting to signal imminent contrarian moves in established price trends. It combines popular technical tools like RSI, MACD, and CCI with unique relativity settings, comparing the current symbol to major index ETFs (SPY, QQQ, IWM, RSP). With customizable trading modes and settings, ADEDA v3 can adapt to various trading styles and markets.
ADEDA v3 overlays five moving averages on your chart and provides visual signals through indicator shapes and detailed tables. It’s designed to help traders of all levels identify overextended market conditions and make informed decisions.
Key Features
Moving Average Analysis:
Plots EMA9, EMA21, EMA34, SMA50, and SMA200. Measures the percentage distance of the price from EMA9 and EMA21 to detect overextension.
Technical Indicators:
Uses RSI, MACD, and optional CCI to confirm signals.
Relativity Settings:
Compares the symbol’s performance to SPY, QQQ, IWM, and RSP using RSI, highlighting overbought or oversold conditions relative to the market.
Customizable Modes:
Offers four modes—Normal, Loose, Strict, and Daytrading—with tailored settings for different strategies.
Volatility Spike Detection (experimental):
Attempts to filter out signals during high volatility periods using ATR and volume analysis, reducing false positives.
Visual Tools:
Displays divergence shapes (! marks) and tables for distances, RSI, and moving average RSI values.
Input Parameters
Customize ADEDA v3 to fit your trading needs with these settings:
Lookback Period (40 default):
Number of bars to calculate historical high absolute distances from EMA9 and EMA21. Increase for more reliability, decrease for faster signals.
Threshold (75 default):
Percentage of the historical high distance that the current distance must exceed to trigger an "extended" signal. Higher values mean fewer, stronger signals.
Mode (Normal default):
Normal: Balanced for most markets.
Loose: More signals, less strict.
Strict: Fewer, high-confidence signals.
Daytrading: Optimized for 5-minute intervals for intraday trading.
CCI Length (20 default):
Adjusts CCI sensitivity (1-2000). *IMPORTANT* -- This setting must be adjusted individually to each symbol for best results.
Use CCI (true default):
Toggle CCI on or off in signal calculations.
Show Divergence Shapes (true default):
Displays buy/sell shapes on the chart.
Show Distance Table (true default):
Shows price distances from EMA9/EMA21 and their status.
Show RSI Table (true default):
Displays RSI of relativities to SPY, QQQ, IWM, RSP.
Show MA RSI Table (true default):
Shows moving averages of relativity RSI values.
Exclude Open & Close (Daytrading) (false default):
In Daytrading mode, skips signals in the first/last 15 minutes of the day.
Relativity Settings:
RSI Length (14): Length for relativity RSI.
MA Length (14): Moving average length for RSI.
Overbought Threshold (70): RSI level for overbought.
Oversold Threshold (35): RSI level for oversold.
Volatility Spike Detection (experimental):
Use Volatility Spike Detection (default false): Enable to filter out signals during periods of high volatility.
ATR Length (8): ATR calculation period.
Baseline Length (50): Baseline for ATR/volume.
ATR Spike Threshold (1.3): Multiplier for ATR spikes.
Volume Spike Threshold (1.2): Multiplier for volume spikes.
How to Interpret Signals
Divergence Shapes:
Downward (!): Potential sell signal (red).
Upward (!): Potential buy signal (green).
Purple (!): Conditions met for 4+ bars. A purple signal indicates unusual momentum/volatility. It is a warning that previous signals have a higher chance of being incorrect/false.
Distance Table:
Shows current distances from EMA9/EMA21 vs. historical highs. "Extended" in red (upside) or green (downside) when the threshold is crossed.
RSI Table:
RSI values for relativities. Red = overbought, green = oversold.
MA RSI Table:
Moving averages of relativity RSI. Same color coding as RSI table.
Volatility Spike:
Red background highlights high volatility periods (if enabled).
Usage Tips
Given the nature of the design of the indicator to signal potential short-term contrarian price action, repeated signaling of overbought or oversold conditions can indicate that the symbol is in a longer-term trend that is opposite to individual signaling. In these cases, intrepid users may use the indicator to execute complementary strategies, e.g. selling short-term covered calls against a long term held position when overbought signals appear.
Also, please keep in mind that ADEDA v3 is not designed to provide exit signaling.
Alerts
Set up alerts in TradingView’s "Alerts" tab:
Current Bar: Triggers on new buy/sell signals.
Last 2 Bars: Triggers if conditions met in the past two bars (great for screeners).
Data Requirements
ADEDA v3 fetches SPY, QQQ, IWM, and RSP data for relativity. These index ETFs have been chosen rather than the indexes themselves as most TradingView users should have access to price data for these ETFs without extra add-ons.
Legal Disclaimer
This script is provided "as is," without any warranties or guarantees of any kind, either express or implied. The author is not a financial advisor, and this script should not be considered financial advice. Users are solely responsible for their own trading decisions and should not rely on this script as the basis for any financial actions. The author shall not be held liable for any losses, damages, or claims arising from the use of this script. By using this script, you agree to assume all risks associated with its use and hold the author harmless from any consequences that may result.
Technicalindicators
BeeQuant - Hive Smoothing Average🔶 OVERVIEW
The "Hive Smoothing Average" is your gateway to crystal-clear market insights, a truly advanced tool that cuts through confusing price "noise" to reveal the true underlying trend. Imagine having a panoramic view of the market's true direction, unclouded by minor ups and downs. This powerful indicator dynamically filters out market distractions, presenting you with a highly refined line that not only shows you the genuine path of price but also changes color. It’s built for traders who demand clarity and want to confidently spot opportunities that others might miss in messy charts.
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🧠 CONCEPTS
At its heart, the "Hive Smoothing Average" employs a sophisticated multi-stage processing system to transform raw price data into an incredibly smooth and responsive smoothed moving average line. It's designed to give you an unparalleled view of market direction and momentum.
⬜ Synthesizes multiple smoothing layers to deliver a balanced representation of underlying price action.
⬜ Offers enhanced visual consistency by filtering volatility distortion without delay-based lag.
⬜ Presents color-coded transitions and signal markers to aid in directional conviction and structural flow.
⬜ Embeds a modular smoothing core adaptable across market environments and asset classes.
Hive Smoothing Average doesn't forecast, it refines. It provides a more coherent view of price evolution, allowing for higher-confidence discretion and more robust strategy overlays.
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✨ FEATURES
Hive Smoothing Average is loaded with flexibility and visual power to enhance your decision-making:
🔹Customizable Smoothing
Tailor the indicator’s core behavior using a wide range of smoothing algorithms — from classic to advanced — to match your trading tempo and asset dynamics.
🔹 Intelligent Color Feedback
The line color dynamically shifts to reflect meaningful trend transitions, offering at-a-glance clarity without crowding your chart.
🔹 Trend Signal Markers
Built-in arrow markers highlight potential transitions in price momentum, acting as subtle nudges to investigate further.
🔹 Multi-Timeframe Ready
Designed to operate cleanly across all timeframes, from scalping micro-trends to monitoring macro cycles.
🔹 External Source Collaboration
Hive Smoothing Average includes two flexible input channels that can seamlessly connect with other indicators on your chart.
🔹 Adaptive Bands
A powerful enhancement to the Hive framework, the optional Standard Deviation Bands add dynamic context to price behavior by highlighting how far price is moving relative to its recent average volatility.
Length: Controls the lookback period for volatility calculation.
Lower values (e.g., 20 – 50) make the bands highly reactive Higher values (e.g., 200 – 500) smooth out the bands (classic envelope systems )
These bands offer valuable visual cues for both volatility expansion and mean reversion potential, especially when combined with Hive’s core candle coloration logic.
🔹Non-Repainting Logic for Historical Reliability
Each "Hive Smoothing Average" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of Hive Smoothing Average does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Getting started with Hive Smoothing Average is seamless and intuitive:
✨ Apply to Any Chart
Simply add the indicator to any asset or timeframe and see immediate transformation in chart clarity.
💹 Source Data Flexibility
Choose your preferred price data source for each smoothing stage (e.g., Close, Open, High, Low), providing complete control over the input feeding the sophisticated smoothing algorithms.
🛠️ Adjust Smoothing Behavior
Choose your preferred initial and final smoothing types (EMA, HMA, ALMA, etc.), and tweak lengths for desired responsiveness or smoothness.
📐 Use Bands for Confluence
Enable the Bands mode to visualize dynamic zones around your smoothed price. Useful for breakout validation and fade zones.
🟩 Green Smoother Line
Indicates strengthening bullish bias and upward progression.
🟥 Red Smoother Line
Suggests weakening or shifting trend toward bearish territory.
📈 Arrow Signals
Upward or downward triangles appear when directional bias changes — confirming subtle pivots in trend behavior.
🎯 Offset Adjustment
Fine-tune the visual positioning of the smoothed line and bands on your chart with a convenient "Offset" input.
📏 Lookback Filter
Activate the “Lookback Filter” setting to remove weaker signals based on custom historical logic. By checking recent candle behavior, it filters out low-quality transitions and only keeps strong, confirmed shifts — helping you avoid noise and stay focused on reliable breakouts.
Experiment with settings based on your trading timeframe. Short-term traders may prefer fast-reactive configurations, while swing or positional traders can explore higher-period smoothings for structural signals.
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⚠️ LIMITATIONS
While Hive Smoothing Average delivers incredible trend clarity, it’s essential to use it within its designed purpose:
👉 Visual Clarity, Not Trade Calls: This tool enhances visibility of market behavior, not automatic signals. Use it as a trusted lens — not a standalone system.
👉 Reactive, Not Predictive: Hive Smoothing Average responds to price action with refined smoothing. It is not a forecasting model.
👉 Config-Sensitive Output: Different smoothing setups can produce different levels of sensitivity or delay. Calibration matters — explore what fits your asset and style.
👉 Focuses on Price Action Only: It does not integrate volume, fundamentals, or external market influences. It’s engineered purely for price structure refinement.
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🎯 CONCLUSION
Hive Smoothing Average provides a high-performance, low-noise framework to view price with remarkable clarity. With its adaptive smoothing layers, bands support, and intelligent signal markers, it becomes a powerful tool to enhance your trend confidence and charting efficiency. By furnishing immediate, data-driven feedback on the market's core momentum and signaling critical turning points, it profoundly empowers traders to rapidly ascertain nascent market shifts and identify pivotal directional changes. Seamlessly integrate this sophisticated visual tool within your pre-existing technical analysis architecture to acquire a sharper, more insightful perspective, and fundamentally elevate your strategic acumen, optimizing your decision-making processes to a degree previously unattainable. It's about experiencing the market's true rhythm.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Smoothing Average" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
BeeQuant - Hive HeikinAshi💠 OVERVIEW
The "Hive HeikinAshi" is your ultimate tool for simplifying the chaotic world of price charts. Imagine a specialized lens that cuts through all the market "noise" – those tiny, confusing movements – and reveals the clear, underlying current of price action. This indicator transforms standard, sometimes choppy, candlestick charts into a powerful, trend-focused visualization. It’s designed to help every trader, whether you're a discretionary trader seeking cleaner structures or a quant enthusiast looking for visual cues to complement models, Hive HeikinAshi provides a simplified yet highly informative lens through which to read price action.
Its main advantage lies in its seamless compatibility with external indicators — offering a next-level smoothing foundation that enhances the clarity and reliability of any existing trend, momentum, or signal-based system layered on top of it.
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🧠 CONCEPTS
At its core, the "Hive HeikinAshi" isn't just another way to look at candles; it's a profound re-interpretation of price dynamics. It employs a sophisticated internal process to distill raw market movements into a more coherent, trend-identifying display, making the market's story incredibly easy to read.
The "Hive" Transformation: Unlike traditional candlesticks that show every small price fluctuation, the "Hive HeikinAshi" candles are intelligently constructed to smooth out the data. They are derived from a multi-point calculation process, creating a new, more consistent visual representation of price. This transformation helps to reduce the "visual clutter" and make trend following a much more intuitive experience. You'll see the forest, not just the trees.
⬜ Highlights dominant price direction by filtering reactive fluctuations
⬜ Visually separates impulsive vs corrective behavior with clear color transitions
⬜ Enables quicker discretionary recognition of trend shifts without complex overlays
⬜ Ideal for confirming momentum zones and stable trending phases
⬜ The Intelligent Filter. An optional yet powerful "Filter" mechanism has been integrated, providing an additional layer of analytical discernment.
⬜ Designed to integrate natively with trend-following, oscillator, or signal indicators — enabling amplified precision across diverse trading systems
A significant advantage of the "Hive HeikinAshi" is its inherent ability to minimize distracting "noise" from typical candle wicks. While standard candles can often show long, confusing wicks that obscure the true body direction, our specialized candles are engineered to emphasize the core directional move. This intelligent design allows you to focus on the momentum generated by the candle's body, rather than getting sidetracked by fleeting price extremes, thereby providing a cleaner, more reliable visual of trend strength.
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✨ FEATURES
Hive HeikinAshi includes several key features designed for both clarity and functionality:
🔹Multi-Bar Averaging
Generates a visually balanced candle structure using averaged pricing across configurable recent bars.
🔹 Wickless Visualization
Candles are rendered without upper/lower shadows, enhancing trend detection and reducing signal confusion.
🔹 Signal Filter
Adaptive color filter using a dynamic high/low lookback logic
🔹 Directional Color Coding
Clean green/red coloring helps instantly interpret bullish or bearish pressure.
🔹 Adjustable History Depth
Customize how many bars are considered in the smoothing process to match your style and timeframe.
🔹 Invisible Price Feed Outputs
Underlying smoothed OHLC values are available for custom strategies or overlays.
🔹Non-Repainting Logic for Historical Reliability
Each "Hive HeikinAshi" is plotted only when its internal reconstruction conditions are fully met and confirmed. This ensures that the historical display of HeikinAshi does not repaint, providing a high degree of reliability and trust in past signals and visualizations.
🔹Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using Hive HeikinAshi is simple and effective:
📥 Add to Chart
Once access is granted, apply the indicator to any timeframe or asset directly from your TradingView invite-only indicators list.
⚙️ Tweak “No. of Bars”
This setting controls how far back the smoothing engine looks.
• Lower values = more responsive, shorter-term smoothing
• Higher values = steadier candles, better for macro trends
🎚️ Next, consider the "Filter" option:
Turn this on to activate the advanced filtering mechanism. Then, adjust the "lookback bars" (from 1 to 10). A smaller number here will make the filter more responsive to immediate "Hive HeikinAshi" candle extremes, while a larger number will require a more sustained breakout from the recent filtered range. Experiment to discover the optimal "sweet spot" that best reveals the underlying market flow for your specific strategy. The tooltip guides you to this optimal setting.
Disable "Filter": If turned off, the candles will revert to a more direct HeikinAshi coloration based purely on their calculated open and close, without the additional layer of range filtering.
🔍 Interpreting Candles
• 🟢 Green Candle: Bullish continuation zone
• 🔴 Red Candle: Bearish pressure dominates
• Lack of wick = strong directional conviction
Combine with your favorite indicators — Hive HeikinAshi acts as a foundation to reduce noise and enhance clarity across tools like EMAs, MACD, VWAP, and more.
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⚠️ LIMITATIONS
While Hive HeikinAshi provides clear visual advantages, it is important to understand its scope:
👉 Not a Signal Generator: This indicator excels at identifying and confirming trends, making it less suitable for pinpointing exact, high-frequency entry and exit points that require unadulterated real-time price. It prioritizes overall directional clarity.
👉 Lag by Design: Due to multi-bar data smoothing, candles reflect stable price behavior but not ultra-short-term fluctuations.
👉 No Volume or Macro Inputs: Hive HeikinAshi focuses purely on price structure — it does not include volume, news, or external conditions.
👉 Filter Calibration: While the "Filter" enhances clarity, its effectiveness is dependent on appropriate "lookback bars" calibration. Users should understand that adding filtering inherently balances responsiveness with a more refined signal, and finding the optimal setting is part of the analytical process.
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🎯 CONCLUSION
Hive HeikinAshi is a powerful visual companion for modern traders seeking smoother, clearer price trends. By combining directional clarity with reduced chart clutter, it allows you to interpret the market with less noise and more confidence. Seamlessly integrate this advanced visual tool within your analytical framework to gain a sharper, more confident perspective, and elevate your strategic decision-making in the markets. It's about seeing the unseen, with clarity.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive HeikinAshi" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
BeeQuant - Hive Visualizer💠 OVERVIEW
The " Hive Visualizer " is a game-changing, invite-only tool, expertly designed to give every trader, from beginner to experienced, instant and clear visual clues about what price is doing. Its main job is to easily show you the highest and lowest points price has reached recently. Think of it as a smart, automated helper that colors your candles to reveal powerful market moves. This helps you quickly see if prices are getting stronger or weaker right on your chart. It's a groundbreaking, high-quality tool that cuts through the noise, making it simple to spot key moments when the market is about to make a big move up or down, giving you an edge.
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🧠 CONCEPTS
The core philosophy behind Hive Visualizer is rooted in contextual volatility exposure and directional bias reinforcement. Through a sophisticated internal mechanism that evaluates local maxima/minima behavior within a compact temporal field, the indicator provides adaptive color‑based candle transitions that align with latent directional pressure.
1. Uses localized equilibrium breach detection to monitor directional intent and exhaustion points.
2. Embeds a dynamically updating framework that reacts to both trend continuation and structural reversals.
3. Avoids false positives by disregarding noisy fluctuations below system‑defined relevance thresholds.
4. Provides non‑repainting, fully forward‑confirmed visual outputs for reliable retrospective analysis.
Hive Visualizer is not designed to be predictive. Instead, it allows traders to observe the evolution of price structure in a cleaner and more digestible format, supporting high-confidence discretionary execution or automated model overlays.
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✨ FEATURES
The "Hive Visualizer" comes with a suite of smart features, all designed for amazing clarity, quick reactions, and deeper understanding, making your charting experience truly effortless:
🔹 Easy Range Customization
A super easy "Smoother" setting lets you perfectly adjust how the indicator reacts to recent price changes. This means you can fine-tune it to match exactly how you like to trade
🔹 Instant, Clear Signals
The simple Green and Red candles give you immediate, unmistakable visual cues about strong upward or downward moves, providing insights you can grasp in a heartbeat.
🔹 Smart Continuity in Quiet Times
The clever way it keeps the same color for candles that aren't breaking out offers valuable, subtle insights into those periods when the market is just moving sideways or finding its balance, helping you see the hidden dynamics.
🔹 Seamless Chart Integration
This indicator works like a transparent overlay, appearing directly on your price chart without getting in the way or changing your original candles. It fits perfectly, making your analysis smooth and uninterrupted.
🔹 Clean and Focused Visuals
The indicator’s simple design focuses only on coloring the main candle body and border to clearly highlight important breakouts. This keeps your chart clean and effective, showing you only what truly matters.
🔹 Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using and making the "Hive Visualizer" a part of your trading routine is incredibly simple and designed to significantly boost how you understand the market:
Getting Started: Once you have access, just add the "Hive Visualizer" indicator to any chart and timeframe you want on TradingView. It's that easy.
Tuning the "Smoother" Setting: Go into the indicator's settings and play with the "Smoother" number. This is a crucial step to make it react just right for you.
Smaller numbers (like 1-3 bars) will make the indicator very quick to react to the most recent, short-term ups and downs, perfect for fast trading.
Larger numbers (like 5-10+ bars) will give you a wider view, smoothing out small changes and highlighting bigger, more important breakouts, ideal for longer-term analysis. Spend a little time trying different settings to find what works best for your chosen asset and your trading style – it's like finding the perfect lens for your market view.
Understanding the Colors: Once you've set it up, here's how to quickly understand what the "Hive Visualizer" is telling you: New Green Candle: This means a strong sign that buyers are in control and prices are likely to keep moving up, giving you confidence in bullish moves.
New Red Candle: This indicates as a strong signal that sellers are dominating and prices are likely to keep moving down, preparing you for bearish shifts.
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⚠️ LIMITATIONS
👉 Visual Guide, Not a Bot: Use as part of a broader strategy—it won’t auto‑trade for you
👉 Retroactive Insight: It reflects past price action; it doesn’t predict the future.
👉 Setting‑Dependent: Effectiveness relies on your “Smoother” choice—too low = noise; too high = lag.
👉 Price‑Range Focused: Highlights trends and range only — doesn’t analyze volume, news, or other complex factors.
👉 This tool enhances trend validation but isn’t a standalone signal generator.
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🎯 CONCLUSION
The "Hive Visualizer" offers an incredibly easy-to-use and adaptable way to see price strength and weakness with crystal clarity on your charts. By giving you instant, clear feedback on whether prices are powerfully breaking out or falling below a recent historical range, it truly empowers you to quickly understand market momentum and spot key turning points. Seamlessly add this smart visual tool into your current trading methods to gain a sharper, more insightful view, and elevate your trading decisions. It's about seeing the market with new eyes.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Visualizer" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
MestreDoFOMO MACD VisualMasterDoFOMO MACD Visual
Description
MasterDoFOMO MACD Visual is a custom indicator that combines a unique approach to MACD with stochastic logic and simulated Renko-based direction signals. It is designed to help traders identify entry and exit opportunities based on market momentum and trend changes, with a clear and intuitive visualization.
How It Works
Stylized MACD with Stochastic: The indicator calculates the MACD using EMAs (exponential moving averages) normalized by stochastic logic. This is done by subtracting the lowest price (lowest low) from a defined period and dividing by the range between the highest and lowest price (highest high - lowest low). The result is a MACD that is more sensitive to market conditions, magnified by a factor of 10 for better visualization.
Signal Line: An EMA of the MACD is plotted as a signal line, allowing you to identify crossovers that indicate potential trend reversals or continuations.
Histogram: The difference between the MACD and the signal line is displayed as a histogram, with distinct colors (fuchsia for positive, purple for negative) to make momentum easier to read.
Simulated Renko Direction: Uses ATR (Average True Range) to calculate the size of Renko "bricks", generating signals of change in direction (bullish or bearish). These signals are displayed as arrows on the chart, helping to identify trend reversals.
Purpose
The indicator combines the sensitivity of the Stochastic MACD with the robustness of Renko signals to provide a versatile tool. It is ideal for traders looking to capture momentum-based market movements (using the MACD and histogram) while confirming trend changes with Renko signals. This combination reduces false signals and improves accuracy in volatile markets.
Settings
Stochastic Period (45): Sets the period for calculating the Stochastic range (highest high - lowest low).
Fast EMA Period (12): Period of the fast EMA used in the MACD.
Slow EMA Period (26): Period of the slow EMA used in the MACD.
Signal Line Period (9): Period of the EMA of the signal line.
Overbought/Oversold Levels (1.0/-1.0): Thresholds for identifying extreme conditions in the MACD.
ATR Period (14): Period for calculating the Renko brick size.
ATR Multiplier (1.0): Adjusts the Renko brick size.
Show Histogram: Enables/disables the histogram.
Show Renko Markers: Enables/disables the Renko direction arrows.
How to Use
MACD Crossovers: A MACD crossover above the signal line indicates potential bullishness, while below suggests bearishness.
Histogram: Fuchsia bars indicate bullish momentum; purple bars indicate bearish momentum.
Renko Arrows: Green arrows (upward triangle) signal a change to an uptrend; red arrows (downward triangle) signal a downtrend.
Overbought/Oversold Levels: Use the levels to identify potential reversals when the MACD reaches extreme values.
Notes
The chart should be set up with this indicator in isolation for better clarity.
Adjust the periods and ATR multiplier according to the asset and timeframe used.
Use the built-in alerts ("Renko Up Signal" and "Renko Down Signal") to set up notifications of direction changes.
This indicator is ideal for day traders and swing traders who want a visually clear and functional tool for trading based on momentum and trends.
SuperSmoothed Volume Zone Oscillator------------------------------------------------------------------------------------
SUPERSMOOTHED VOLUME ZONE OSCILLATOR (SSVZO)
TECHNICAL INDICATOR DOCUMENTATION
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Table of Contents:
1. Original VZO Background
2. SuperSmoother Technology
3. SSVZO Components
3.1. Main SSVZO Oscillator
3.2. Momentum Velocity Component
3.3. Adaptive Levels
3.4. Static Levels
3.5. Trend Shift Detection
3.6. Glow Effect Visualization
4. References & Further Reading
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1. ORIGINAL VOLUME ZONE OSCILLATOR (VZO) BACKGROUND
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Creator: Walid Khalil (November 2009, Technical Analysis of Stocks & Commodities)
History: Khalil designed the VZO to address limitations in other volume indicators
by focusing on the relative balance between buying and selling volume while filtering
out market noise. The indicator identifies accumulation and distribution patterns.
Traditional Usage: The classic VZO uses a 14-period calculation setting and is
interpreted on a scale from -60% to +60%:
- Readings above +40% indicate strong buying pressure (potential overbought)
- Readings below -40% indicate strong selling pressure (potential oversold)
- The zero line acts as a key reference for trend changes
- Divergences between VZO and price offer valuable trading signals
Difference from Other Volume Indicators: Unlike simple volume indicators that only
track total volume, the VZO tracks the relative difference between up-volume and
down-volume, more effectively identifying buying/selling pressure imbalances and
potential reversal points.
------------------------------------------------------------------------------------
2. SUPERSMOOTHER FILTER TECHNOLOGY
------------------------------------------------------------------------------------
Creator: John F. Ehlers, an engineer specializing in digital signal processing for
trading systems.
Origins: Introduced in "Rocket Science for Traders" (2001) and refined in "Cybernetic
Analysis for Stocks and Futures" (2004). Represents the application of digital signal
processing techniques to financial markets.
Technical Foundation: The SuperSmoother is a two-pole low-pass filter specifically
designed to eliminate noise while preserving the underlying signal. It combines
principles of Butterworth and Gaussian filters to minimize both phase shift and
passband ripple.
Mathematical Implementation:
a1 = exp(-π * sqrt(2) / period)
b1 = 2 * a1 * cos(sqrt(2) * π / period)
c2 = b1
c3 = -a1²
c1 = 1 - c2 - c3
Advantages Over Traditional Filters:
- Reduces lag compared to simple moving averages
- Eliminates high-frequency market noise more effectively
- Minimizes unwanted ripples in the output signal
- Preserves important turning points in the data
- Superior handling of sudden market movements
According to Ehlers: "Conventional moving averages are plagued by excessive lag and/or
rippling in their passband. The SuperSmoother eliminates virtually all of this ripple
and has excellent transient response characteristics." (TASC Magazine, 2014)
------------------------------------------------------------------------------------
3. SSVZO COMPONENTS
------------------------------------------------------------------------------------
3.1. MAIN SSVZO OSCILLATOR
------------------------------------------------------------------------------------
Description: The core component measuring buying vs. selling volume pressure using
the SuperSmoother filter for enhanced noise reduction.
Calculation: SSVZO analyzes the relationship between up-volume (volume on rising
prices) and down-volume (volume on falling prices), applying exponential moving
averages to both components, then calculating their relative strength. The
SuperSmoother filter reduces market noise while preserving the underlying trend signal.
Implementation Advantage: By applying the SuperSmoother filter to the VZO calculation,
the SSVZO provides significantly cleaner signals with fewer false crossovers and more
accurate identification of true trend changes.
Interpretation:
- Values above zero indicate bullish volume dominance
- Values below zero indicate bearish volume dominance
- Readings above +60 suggest overbought conditions
- Readings below -60 suggest oversold conditions
- Crossovers of the zero line signal potential trend changes
Trading Application: Use SSVZO as a primary volume-based momentum indicator to
confirm price trends, identify divergences, and spot potential reversal zones.
------------------------------------------------------------------------------------
3.2. MOMENTUM VELOCITY COMPONENT
------------------------------------------------------------------------------------
Description: A histogram displaying the rate of change of momentum, showing how
quickly buying or selling pressure is accelerating or decelerating.
Calculation: Derived from price momentum over a user-defined period, with optional
adaptive filtering that adjusts sensitivity based on market volatility. The velocity
component shows the first derivative of momentum – essentially the "acceleration" of
market movement.
Technical Origin: Inspired by Ehlers' work on Hilbert Transforms and research on
cyclic components in financial markets, as detailed in "Cycle Analytics for Traders"
(2013).
Interpretation:
- Positive readings (teal bars) indicate accelerating upward momentum
- Negative readings (orange bars) suggest accelerating downward momentum
- Larger bars indicate stronger momentum acceleration
- Shrinking bars signal momentum deceleration
Trading Application: Use as an early warning system for potential trend exhaustion
or confirmation of a new trending move. When momentum velocity diverges from price,
it often precedes a reversal.
------------------------------------------------------------------------------------
3.3. ADAPTIVE LEVELS
------------------------------------------------------------------------------------
Description: Dynamic overbought and oversold boundaries that adjust to market
conditions, providing context-aware trading signals.
Calculation: Uses statistical methods based on the standard deviation of the SSVZO
values over a longer period. These levels automatically widen during higher volatility
periods and narrow during consolidation.
Research Base: Draws from Perry Kaufman's work on Adaptive Moving Averages (AMA) and
Bollinger's research on dynamic volatility bands, as published in "Trading Systems
and Methods" (2013).
Interpretation:
- Adaptive Overbought (dotted circles above): Dynamic ceiling that expands/contracts
based on market volatility
- Adaptive Oversold (dotted circles below): Dynamic floor that expands/contracts based
on market volatility
Trading Application: More reliable for identifying extremes than static levels,
particularly in changing market conditions or different instruments. Touching these
levels often provides higher-probability reversal signals.
------------------------------------------------------------------------------------
3.4. STATIC LEVELS
------------------------------------------------------------------------------------
Description: Fixed overbought and oversold horizontal lines that provide consistent
reference points for excess market conditions.
Calculation: Preset at +60 (overbought) and -60 (oversold) based on historical
analysis of volume behavior across multiple markets, extending the classic VZO range.
Interpretation:
- Readings above +60 suggest potential buying exhaustion
- Readings below -60 indicate potential selling exhaustion
- Duration spent beyond these levels correlates with reversal probability
Trading Application: Use as baseline reference points for extreme conditions. Most
effective when combined with other confirmation signals like divergences or
candlestick patterns.
------------------------------------------------------------------------------------
3.5. TREND SHIFT DETECTION
------------------------------------------------------------------------------------
Description: Visual markers and optional background shading highlighting potential
trend changes when the SSVZO crosses the zero line.
Calculation: Based on mathematical crossovers of the SSVZO value above or below the
zero line, with pattern recognition to reduce false signals.
Research Foundation: Incorporates concepts from Dr. Alexander Elder's "triple screen
trading system" and Mark Chaikin's volume-based trend identification research.
Interpretation:
- Upward triangles indicate bullish trend shifts (SSVZO crossing above zero)
- Downward triangles indicate bearish trend shifts (SSVZO crossing below zero)
- Background shading emphasizes the new trend direction
Trading Application: These signals often precede price trend changes and can serve
as entry triggers when aligned with the higher timeframe trend.
------------------------------------------------------------------------------------
3.6. GLOW EFFECT VISUALIZATION
------------------------------------------------------------------------------------
Description: An aesthetic enhancement creating a gradient "glow" around the main SSVZO
line, improving visual clarity and emphasizing signal strength.
Calculation: Generated using percentage-based bands around the main SSVZO value, with
multiple translucent layers to create a subtle illumination effect.
Design Inspiration: Inspired by modern UI/UX design principles for financial
dashboards and the MATS (Moving Average Trend Sniper) indicator's visual presentation,
enhancing perception of signal strength through visual intensity.
Interpretation:
- Teal glow indicates positive SSVZO values (bullish)
- Orange glow indicates negative SSVZO values (bearish)
- Glow intensity correlates with the strength of the signal
Trading Application: Beyond aesthetics, the glow creates visual emphasis that makes
trend direction, strength, and changes more immediately apparent, particularly useful
during fast-moving market conditions.
------------------------------------------------------------------------------------
4. REFERENCES & FURTHER READING
------------------------------------------------------------------------------------
1. Ehlers, J. F. (2001). "Rocket Science for Traders: Digital Signal Processing
Applications." John Wiley & Sons.
2. Ehlers, J. F. (2004). "Cybernetic Analysis for Stocks and Futures: Cutting-Edge
DSP Technology to Improve Your Trading." John Wiley & Sons.
3. Ehlers, J. F. (2013). "Cycle Analytics for Traders: Advanced Technical Trading
Concepts." John Wiley & Sons.
4. Khalil, W. (2009). "The Volume Zone Oscillator." Technical Analysis of Stocks &
Commodities, November 2009.
5. Kaufman, P. J. (2013). "Trading Systems and Methods." 5th Edition, Wiley Trading.
6. Elder, A. (2002). "Come Into My Trading Room: A Complete Guide to Trading."
John Wiley & Sons.
7. Bollinger, J. (2002). "Bollinger on Bollinger Bands." McGraw-Hill Education.
------------------------------------------------------------------------------------
END OF DOCUMENTATION
------------------------------------------------------------------------------------
NexAlgo AI with Dynamic TP/SLThe NexAlgo Indicator combines a Gaussian kernel regression engine with adaptive volatility thresholds to generate clear, data‑driven trade signals and built‑in risk levels. It predicts the next bar’s price relative to a simple moving average, then measures the average deviation between actual and forecasted values to form dynamic bands. Breakouts beyond these bands, aligned with the prediction’s direction, produce buy or sell signals directly on your chart.
How It Works & What You’ll See
Kernel Regression Forecast: A rolling “lookback” window builds a Gaussian similarity matrix of recent prices. This matrix is used to project the next price, smoothing around a moving average.
Adaptive Volatility Bands: The indicator computes the mean absolute error between actual and predicted prices, multiplies it by your chosen volatility factor, and plots upper and lower bands.
Signal Triggers: When price closes above the upper band while the prediction is rising, a green “BUY” label appears; when price closes below the lower band as the forecast falls, a red “SELL” label is shown.
Automatic SL/TP Levels: After each signal, the script scans recent swing highs/lows and applies an ATR buffer. Stop‑loss is set conservatively at the more protective of these levels, while take‑profit is calculated by your reward‑to‑risk ratio and capped near the opposite swing extreme.
Customizable Inputs
Lookback Period & Smoothing: Adjust how many bars the regression and volatility calculations use, and tune the noise regularization to suit fast or slow markets.
Volatility Multiplier: Widen or tighten the adaptive bands to control signal frequency and confidence.
Swing Lookback & ATR Options: Define how far back the indicator searches for swing points, and choose between ATR calculation methods.
Reward‑to‑Risk Ratio: Set your preferred multiple of stop‑loss distance for take‑profit targets.
What Makes NexAlgo Different
Hybrid Statistical Approach: Unlike fixed‑period moving averages or standard regression, the Gaussian kernel adapts locally to evolving price patterns and regimes.
Self‑Adjusting Thresholds: Volatility bands derive from prediction errors—so they expand in choppy markets and contract in trending conditions.
Integrated Risk Controls: Automatically calculated stop‑loss and take‑profit levels remove manual guesswork, yet remain grounded in both ATR and price structure.
Trader‑Driven Flexibility: Every parameter—from lookback length to risk ratio—can be dialed in for scalping, swing trading, or longer‑term strategies.
Getting Started
• Apply NexAlgo to your preferred timeframe (5–15 min for intraday scalps, 1 h–4 h for swings, daily for position plays).
• Begin with default settings and gradually adjust lookback and smoothing to balance responsiveness versus noise.
• Experiment with volatility multipliers: tighten in strong trends, widen when markets churn.
• Backtest different ATR buffers and reward ratios to discover your ideal risk‑reward profile.
Volume Block Order AnalyzerCore Concept
The Volume Block Order Analyzer is a sophisticated Pine Script strategy designed to detect and analyze institutional money flow through large block trades. It identifies unusually high volume candles and evaluates their directional bias to provide clear visual signals of potential market movements.
How It Works: The Mathematical Model
1. Volume Anomaly Detection
The strategy first identifies "block trades" using a statistical approach:
```
avgVolume = ta.sma(volume, lookbackPeriod)
isHighVolume = volume > avgVolume * volumeThreshold
```
This means a candle must have volume exceeding the recent average by a user-defined multiplier (default 2.0x) to be considered a significant block trade.
2. Directional Impact Calculation
For each block trade identified, its price action determines direction:
- Bullish candle (close > open): Positive impact
- Bearish candle (close < open): Negative impact
The magnitude of impact is proportional to the volume size:
```
volumeWeight = volume / avgVolume // How many times larger than average
blockImpact = (isBullish ? 1.0 : -1.0) * (volumeWeight / 10)
```
This creates a normalized impact score typically ranging from -1.0 to 1.0, scaled by dividing by 10 to prevent excessive values.
3. Cumulative Impact with Time Decay
The key innovation is the cumulative impact calculation with decay:
```
cumulativeImpact := cumulativeImpact * impactDecay + blockImpact
```
This mathematical model has important properties:
- Recent block trades have stronger influence than older ones
- Impact gradually "fades" at rate determined by decay factor (default 0.95)
- Sustained directional pressure accumulates over time
- Opposing pressure gradually counteracts previous momentum
Trading Logic
Signal Generation
The strategy generates trading signals based on momentum shifts in institutional order flow:
1. Long Entry Signal: When cumulative impact crosses from negative to positive
```
if ta.crossover(cumulativeImpact, 0)
strategy.entry("Long", strategy.long)
```
*Logic: Institutional buying pressure has overcome selling pressure, indicating potential upward movement*
2. Short Entry Signal: When cumulative impact crosses from positive to negative
```
if ta.crossunder(cumulativeImpact, 0)
strategy.entry("Short", strategy.short)
```
*Logic: Institutional selling pressure has overcome buying pressure, indicating potential downward movement*
3. Exit Logic: Positions are closed when the cumulative impact moves against the position
```
if cumulativeImpact < 0
strategy.close("Long")
```
*Logic: The original signal is no longer valid as institutional flow has reversed*
Visual Interpretation System
The strategy employs multiple visualization techniques:
1. Color Gradient Bar System:
- Deep green: Strong buying pressure (impact > 0.5)
- Light green: Moderate buying pressure (0.1 < impact ≤ 0.5)
- Yellow-green: Mild buying pressure (0 < impact ≤ 0.1)
- Yellow: Neutral (impact = 0)
- Yellow-orange: Mild selling pressure (-0.1 < impact ≤ 0)
- Orange: Moderate selling pressure (-0.5 < impact ≤ -0.1)
- Red: Strong selling pressure (impact ≤ -0.5)
2. Dynamic Impact Line:
- Plots the cumulative impact as a line
- Line color shifts with impact value
- Line movement shows momentum and trend strength
3. Block Trade Labels:
- Marks significant block trades directly on the chart
- Shows direction and volume amount
- Helps identify key moments of institutional activity
4. Information Dashboard:
- Current impact value and signal direction
- Average volume benchmark
- Count of significant block trades
- Min/Max impact range
Benefits and Use Cases
This strategy provides several advantages:
1. Institutional Flow Detection: Identifies where large players are positioning themselves
2. Early Trend Identification: Often detects institutional accumulation/distribution before major price movements
3. Market Context Enhancement: Provides deeper insight than simple price action alone
4. Objective Decision Framework: Quantifies what might otherwise be subjective observations
5. Adaptive to Market Conditions: Works across different timeframes and instruments by using relative volume rather than absolute thresholds
Customization Options
The strategy allows users to fine-tune its behavior:
- Volume Threshold: How unusual a volume spike must be to qualify
- Lookback Period: How far back to measure average volume
- Impact Decay Factor: How quickly older trades lose influence
- Visual Settings: Labels and line width customization
This sophisticated yet intuitive strategy provides traders with a window into institutional activity, helping identify potential trend changes before they become obvious in price action alone.
MultiTime Stochastics ProMultiTime Stochastics Pro
This indicator is an enhanced version of the stochastic indicator, featuring two separate stochastics. This functionality allows you to adjust the settings and time frame for each stochastic individually, enabling a more precise analysis of market fluctuations.
The Double Stochastic indicator enables you to simultaneously analyze the market in different time frames with two separate stochastics. One of the standout features of this indicator is that when the chart's time frame changes, each stochastic is displayed according to the time set for it and does not change in other time frames. This feature provides greater flexibility and accuracy in market analysis.
How the Indicator Works
This indicator calculates two separate stochastics:
The first stochastic (K1 and D1) with its own specific time frame and settings.
The second stochastic (K2 and D2) with a different time frame and settings.
These two stochastics are displayed simultaneously on one chart, and overbought and oversold lines are also included.
How to Use
Parameter Adjustment : Adjust the parameters K1 Length, D1 Smoothing, and K1 Time Frame as desired. Do the same for the second stochastic.
Signal Analysis : Analyze buy and sell signals based on the stochastic values and the overbought and oversold lines.
Advantages
Greater Precision : With two separate stochastics, you can follow market fluctuations with greater accuracy.
Flexibility : The ability to individually set the time frame and parameters for each stochastic makes this indicator highly flexible.
Stronger Signals : The simultaneous display of two stochastics allows you to receive stronger buy and sell signals.
Multi-time frame Analysis : The ability to analyze the market in different time frames simultaneously.
This indicator is suitable for traders seeking more precise and flexible market analysis tools. I hope these explanations help you publish your indicator in the best possible way!
Options Series - NonOverlay_Technical
⭐ 1. Purpose:
The script is designed to show technical indicators in a non-overlay form using candlestick representations. It combines multiple popular technical analysis tools to gauge the market's bullish or bearish conditions.
⭐ 2. Indicators:
The script uses several indicators across different timeframes: Exponential Moving Averages (EMA) for 5, 20, 50 periods. Simple Moving Average (SMA) for 200 periods. RSI (Relative Strength Index) for momentum. VWAP (Volume Weighted Average Price) for average price evaluation. PSAR (Parabolic SAR) for trend direction. Daily and multi-day (2-day and 3-day) data for broader market context.
⭐ 3. Candlestick Representation:
The script uses color-coded candlesticks to visually represent various indicators and their bullish/bearish states: Green candlesticks for bullish conditions. Red candlesticks for bearish conditions. Neutral/transparent for non-significant conditions.
⭐ 4. Important Conditions:
It calculates bullish and bearish conditions for each indicator: MA20: When the price is above or below the 20-period EMA. RSI: When RSI is above or below 50. VWAP: When the price is above or below the VWAP. PSAR: When the price is above or below the PSAR. 2-day and 3-day Moving Averages: Evaluating the broader trend.
⭐ 5. Bullish vs. Bearish Calculation:
The script sums up bullish and bearish signals to determine the overall market condition: Current_logical_bull: Counts the number of bullish indicators. Current_logical_bear: Counts the number of bearish indicators. The script compares these values to conclude whether the market is more bullish or bearish.
⭐ 6. Visual Plotting:
The script uses plotcandle to display the non-overlay signals at different levels for each condition, stacked vertically from MA20 to PSAR. Additionally, a master candle combines all indicators to show an overall market trend.
⭐ 7. Neon Effect on MA20:
It adds a neon-like effect to the MA20 line, making it visually prominent: A standard plot line with the base color. Two additional neon layers with increasing transparency to enhance the effect.
⭐ 8. Daily Timeframes and Lookahead:
The script fetches daily data using the lookahead feature to get a broader view of the market trend. It tracks the previous day’s and two days' data for comparison.
⭐ 9. Labels and Customization:
The script dynamically adds labels to the chart for the different plotted indicators at the last bar, making it easier to identify which indicator is being represented.
🚀 Conclusion:
The script combines multiple technical indicators, such as EMA, RSI, VWAP, PSAR, and multi-day moving averages, to visually assess bullish and bearish market conditions. It uses color-coded candlesticks to represent each indicator and sums up the signals to determine the overall trend.
Big Candle HighlighterBig Candle Highlighter
The Big Candle Highlighter indicator highlights significant candles based on their percentage difference between the open and close prices. This tool helps traders quickly identify candles with substantial price movements, which can be crucial for spotting key price action, potential reversals, or significant market events.
Key Features:
Percentage Threshold : Customize the minimum percentage difference from open to close required to mark a candle as "big."
Bullish and Bearish Markers : Bullish big candles are marked with a label below the bar in green, while bearish big candles are marked with a label above the bar in red.
Background Highlighting : Optionally highlight the background of big candles for better visual emphasis.
Inputs:
Percentage Threshold (% ): Set the percentage threshold to define what constitutes a "big" candle. For example, a threshold of 2.0 means that only candles with a 2% or more difference between open and close will be marked.
Color for Big Bullish Candle : Choose the color for labeling and highlighting bullish big candles.
Color for Big Bearish Candle : Choose the color for labeling and highlighting bearish big candles.
Usage :
This indicator is useful for traders looking to identify significant price movements and potential trading opportunities. By focusing on candles that show substantial changes from open to close, you can better understand market dynamics and make more informed trading decisions.
Add the Big Candle Marker to your charts to enhance your technical analysis and stay ahead of market trends.
Fisher Transform on RSIOverview
The Fisher Transform on RSI indicator combines the Relative Strength Index (RSI) with the Fisher Transform to offer a refined tool for identifying market turning points and trends. By applying the Fisher Transform to the RSI, this indicator converts RSI values into a Gaussian normal distribution, enhancing the precision of detecting overbought and oversold conditions. This method provides a clearer and more accurate identification of potential market reversals than the standard RSI.
Key/Unique Features
Fisher Transform Applied to RSI : Transforms RSI values into a Gaussian normal distribution, improving the detection of overbought and oversold conditions.
Smoothing : Applies additional smoothing to the Fisher Transform, reducing noise and providing clearer signals.
Signal Line : Includes a signal line to identify crossover points, indicating potential buy or sell signals.
Custom Alerts : Built-in alert conditions for bullish and bearish crossovers, keeping traders informed of significant market movements.
Visual Enhancements : Background color changes based on crossover conditions, offering immediate visual cues for potential trading opportunities.
How It Works
RSI Calculation : The indicator calculates the Relative Strength Index (RSI) based on the selected source and period length.
Normalization : The RSI values are normalized to fit within a range of -1 to 1, which is essential for the Fisher Transform.
Fisher Transform : The normalized RSI values undergo the Fisher Transform, converting them into a Gaussian normal distribution.
Smoothing : The transformed values are smoothed using a simple moving average to reduce noise and provide more reliable signals.
Signal Line : A signal line, which is a simple moving average of the smoothed Fisher Transform, is plotted to identify crossover points.
Alerts and Visuals : Custom alert conditions are set for bullish and bearish crossovers, and the background color changes to indicate these conditions.
Usage Instructions
Trend Identification : Use the Fisher Transform on RSI to identify overbought and oversold conditions with enhanced precision, aiding in spotting potential trend reversals.
Trade Signals : Monitor the crossovers between the smoothed Fisher Transform and the signal line. A bullish crossover suggests a potential buying opportunity, while a bearish crossover indicates a potential selling opportunity.
Alerts : Set custom alerts based on the built-in conditions to receive notifications when important crossover events occur, ensuring you never miss a trading opportunity.
Visual Cues : Utilize the background color changes to quickly identify bullish (green) and bearish (red) conditions, providing immediate visual feedback on market sentiment.
Complementary Analysis : Combine this indicator with other technical analysis tools and indicators to enhance your overall trading strategy and make more informed decisions.
EngulfScanEngulf Scan
Introduction:
The Engulf Scan indicator helps users identify bullish and bearish engulfing candlestick patterns on their charts. These patterns are often used as signals for trend reversals and are important indicators for traders. Engulf Scan signals are generated when an engulfing pattern is swallowed by another candlestick of the opposite color.The signal of a candle engulfment formation is generated when the 1st candle is engulfed by the 2nd candle and the 2nd candle is engulfed by the 3rd candle.
Features:
Bullish Engulfing Pattern: Indicates the start of an upward trend and typically signals that the market is likely to move higher.
Bearish Engulfing Pattern: Indicates the start of a downward trend and typically signals that the market is likely to move lower.
Color Coding: Users can customize the background colors for bullish and bearish engulfing patterns.
Usage Guide:
Adding the Indicator: Add the "Engulf Scan" indicator to your TradingView chart.
Color Settings: Choose your preferred colors for bullish and bearish engulfing patterns from the indicator settings.
Pattern Detection: View the engulfing patterns on the chart with the specified colors and symbols. These patterns help identify potential trend reversal points.
Parameters and Settings:
Bullish Engulfing Color: Background color for the bullish engulfing pattern.( Green)
Bearish Engulfing Color: Background color for the bearish engulfing pattern. (Red)
Examples:
Bullish Engulfing Example: On the chart below, you can see bullish engulfing patterns highlighted with a green background. (Green)
Bearish Engulfing Example: On the chart below, you can see bearish engulfing patterns highlighted with a red background. (Red)
Frequently Asked Questions (FAQ):
How are engulfing patterns detected?
Engulfing patterns are formed when a candlestick completely engulfs the previous candlestick. For a bullish engulfing pattern, a bullish candlestick follows a bearish one. For a bearish engulfing pattern, a bearish candlestick follows a bullish one.
Which timeframes work best with this indicator?
Engulfing patterns are generally more reliable on daily and higher timeframes, but you can test the indicator on different timeframes to see if it fits your trading strategy.
Can I detect a reversal or trend?
As can be seen in the image, it sometimes appears as a return signal and sometimes as a harbinger of an ongoing trend.But it may be a mistake to use the indicator only for these purposes. However, this indicator may not be sufficient when used alone. It can be combined with different indicators from the Tradingview library.
Updates and Changelog:
v1.0: Initial release. Added detection and color coding for bullish and bearish engulfing patterns.
-Please feel free to write your valuable comments and opinions. I attach importance to your valuable opinions so that I can improve myself.
HelperTALibrary "HelperTA"
This library contains useful technical indicators that I use regularly in my charts.
`stockRSI` is not mine, but included because used often and referenced by internal functions.
`DCO` is a normalisation of the donchian channels; the price relative to the donchian channels, on a range.
`MarketCycle` is a weighted aggregate of RSI, Stochastic RSI & DCO (demo on the chart)
stockRSI(src, K, D, rsiPeriod, stochPeriod)
stockRSI
Parameters:
src (float)
K (int)
D (int)
rsiPeriod (simple int)
stochPeriod (int)
Returns:
DCO(price, donchianPeriod, smaPeriod)
DCO
Parameters:
price (float)
donchianPeriod (int)
smaPeriod (int)
Returns:
MarketCycle(donchianPrice, rsiPrice, srsiPrice, donchianPeriod, donchianSmoothing, rsiPeriod, rsiSmoothing, srsiPeriod, srsiSmoothing, srsiK, srsiD, rsiWeight, srsiWeight, dcoWeight)
MarketCycle
Parameters:
donchianPrice (float)
rsiPrice (float)
srsiPrice (float)
donchianPeriod (simple int)
donchianSmoothing (simple int)
rsiPeriod (simple int)
rsiSmoothing (int)
srsiPeriod (simple int)
srsiSmoothing (simple int)
srsiK (simple int)
srsiD (simple int)
rsiWeight (simple float)
srsiWeight (simple float)
dcoWeight (simple float)
Returns:
VolumeIndicatorsLibrary "VolumeIndicators"
This is a library of 'Volume Indicators'.
It aims to facilitate the grouping of this category of indicators, and also offer the customized supply of the source, not being restricted to just the closing price.
Indicators:
1. Volume Moving Average (VMA):
Moving average of volume. Identify trends in trading volume.
2. Money Flow Index (MFI): Measures volume pressure in a range of 0 to 100.
Calculates the ratio of volume when the price goes up and when the price goes down
3. On-Balance Volume (OBV):
Identify divergences between trading volume and an asset's price.
Sum of trading volume when the price rises and subtracts volume when the price falls.
4. Accumulation/Distribution (A/D):
Identifies buying and selling pressure by tracking the flow of money into and out of an asset based on volume patterns.
5. Chaikin Money Flow (CMF):
A variation of A/D that takes into account the daily price variation and weighs trading volume accordingly.
6. Volume Oscillator (VO):
Identify divergences between trading volume and an asset's price. Ratio of change of volume, from a fast period in relation to a long period.
7. Positive Volume Index (PVI):
Identify the upward strength of an asset. Volume when price rises divided by total volume.
8. Negative Volume Index (NVI):
Identify the downward strength of an asset. Volume when price falls divided by total volume.
9. Price-Volume Trend (PVT):
Identify the strength of an asset's price trend based on its trading volume. Cumulative change in price with volume factor
vma(length, maType, almaOffset, almaSigma, lsmaOffSet)
@description Volume Moving Average (VMA)
Parameters:
length : (int) Length for moving average
maType : (int) Type of moving average for smoothing
almaOffset : (float) Offset for Arnauld Legoux Moving Average
almaSigma : (float) Sigma for Arnauld Legoux Moving Average
lsmaOffSet : (float) Offset for Least Squares Moving Average
Returns: (float) Moving average of Volume
mfi(source, length)
@description MFI (Money Flow Index).
Uses both price and volume to measure buying and selling pressure in an asset.
Parameters:
source : (float) Source of series (close, high, low, etc.)
length
Returns: (float) Money Flow series
obv(source)
@description On Balance Volume (OBV)
Same as ta.obv(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) OBV
ad()
@description Accumulation/Distribution (A/D)
Returns: (float) Accumulation/Distribution (A/D) series
cmf(length)
@description CMF (Chaikin Money Flow).
Measures the flow of money into or out of an asset over time, using a combination of price and volume, and is used to identify the strength and direction of a trend.
Parameters:
length
Returns: (float) Chaikin Money Flow series
vo(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet)
@description Volume Oscillator (VO)
Parameters:
shortLen : (int) Fast period for volume
longLen : (int) Slow period for volume
maType : (int) Type of moving average for smoothing
almaOffset
almaSigma
lsmaOffSet
Returns: (float) Volume oscillator
pvi(source)
@description Positive Volume Index (PVI)
Same as ta.pvi(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) PVI
nvi(source)
@description Negative Volume Index (NVI)
Same as ta.nvi(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) PVI
pvt(source)
@description Price-Volume Trend (PVT)
Same as ta.pvt(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) PVI
fontilabLibrary "fontilab"
Provides function's indicators for pivot - trend - resistance.
pivots(src, lenght, isHigh) Detecting pivot points (and returning price + bar index.
Parameters:
src : The chart we analyse.
lenght : Used for the calcul.
isHigh : lookging for high if true, low otherwise.
Returns: The bar index and the price of the pivot.
calcDevThreshold(tresholdMultiplier, closePrice) Calculate deviation threshold for identifying major swings.
Parameters:
tresholdMultiplier : Usefull to equilibrate the calculate.
closePrice : Close price of the chart wanted.
Returns: The deviation threshold.
calcDev(basePrice, price) Custom function for calculating price deviation for validating large moves.
Parameters:
basePrice : The reference price.
price : The price tested.
Returns: The deviation.
pivotFoundWithLines(dev, isHigh, index, price, dev_threshold, isHighLast, pLast, iLast, lineLast) Detecting pivots that meet our deviation criteria.
Parameters:
dev : The deviation wanted.
isHigh : The type of pivot tested (high or low).
index : The Index of the pivot tested.
price : The chart price wanted.
dev_threshold : The deviation treshold.
isHighLast : The type of last pivot.
pLast : The pivot price last.
iLast : Index of the last pivot.
lineLast : The lst line.
Returns: The Line and bool is pivot High.
getDeviationPivots(thresholdMultiplier, depth, lineLast, isHighLast, iLast, pLast, deleteLines, closePrice, highPrice, lowPrice) Get pivot that meet our deviation criteria.
Parameters:
thresholdMultiplier : The treshold multiplier.
depth : The depth to calculate pivot.
lineLast : The last line.
isHighLast : The type of last pivot
iLast : Index of the last pivot.
pLast : The pivot price last.
deleteLines : If the line are draw or not.
closePrice : The chart close price.
highPrice : The chart high price.
lowPrice : The chart low price.
Returns: All pivot the informations.
getElIntArrayFromEnd() Get the last element of an int array.
getElFloatArrayFromEnd() Get the last element of an float array.
getElBoolArrayFromEnd() Get the last element of a bool array.
isTrendContinuation(isTrendUp, arrayBounds, lastPrice, precision) Check if last price is between bounds array.
Parameters:
isTrendUp : Is actual trend up.
arrayBounds : The trend array.
lastPrice : The pivot Price that just be found.
precision : The percent we add to actual bounds to validate a move.
Returns: na if price is between bounds, true if continuation, false if not.
getTrendPivots(trendBarIndexes, trendPrices, trendPricesIsHigh, interBarIndexes, interPrices, interPricesIsHigh, isTrendHesitate, isTrendUp, trendPrecision, pLast, iLast, isHighLast) Function to update array and trend related to pivot trend interpretation.
Parameters:
trendBarIndexes : The array trend bar index.
trendPrices : The array trend price.
trendPricesIsHigh : The array trend is high.
interBarIndexes : The array inter bar index.
interPrices : The array inter price.
interPricesIsHigh : The array inter ishigh.
isTrendHesitate : The actual status of is trend hesitate.
isTrendUp : The actual status of is trend up.
trendPrecision : The var precision to add in "iscontinuation" function.
pLast : The last pivot price.
iLast : The last pivot bar index.
isHighLast : The last pivot "isHigh".
Returns: trend & inter arrays, is trend hesitate, is trend up.
drawBoundLines(startIndex, startPrice, endIndex, endPrice, breakingPivotIndex, breakingPivotPrice, isTrendUp) Draw bounds and breaking line of the trend.
Parameters:
startIndex : Index of the first bound line.
startPrice : Price of first bound line.
endIndex : Index of second bound line.
endPrice : price of second bound line.
breakingPivotIndex : The breaking line index.
breakingPivotPrice : The breaking line price.
isTrendUp : The actual status of the trend.
Returns: The lines bounds and breaking line.
Technical Analysis & Ratings [SignalCave]Technical Analysis, Technical Ratings
Technical analysis display real-time ratings. It based on the most popular technical indicators such as RSI, Stochastic, CCI, ADX, AO, Momentum, MACD, Stochastic RSI, Williams %, Ichimoku Cloud, SMA, EMA, VWMA and HMA.
Technical analysis is a built-in function on TradingView. You can access any asset’s technical analysis page and see it’s performance in real time.
"Technical Analysis & Ratings Indicator" brings this function into your TradingView charting screen. Indicator allows you to see the same output without visiting any external web page in TradingView. Indicator also works on every timeframe and asset class.
Technical Ratings is a technical analysis tool that combines the ratings of several technical indicators to make it easier for traders and investors to find profitable trades.
Technical Ratings can be a valuable technical analysis tool for many analysts or traders. Many traders use a selection of complementary indicators to make better decisions. Technical Ratings simplifies this task by combining the most popular indicators and their signals.
Alerts are available for "Strong Buy, Buy, Natural, Sell and Strong Sell" conditions.
Type asset name on symbol search area.
Adjust your timeframe that you wish to track.
Click "Create Alert"
Select one of the condition that you wish to get inform from create alert panel.
Select "Once Per Bar Close" option.
Click "Create" .
Indicator PanelHello All,
This script shows Indicator panel in a Table. Table.new() is a new feature and released today! Thanks a lot to Pine Team to add this new great feature! This new feature is a game changer!
The script shows indicator values for each symbol and changes background color of each cell by using current and last values of the indicators for each symbol. if current value is greater than last value then backgroung color is green, if lower than last value then red, if they are equals then gray.
You can choose the indicators to display. Number of columns in the table is dynamic and is changed by number of the indicators.
You can choose 5 different Symbols, 6 Indicators and 2 Simple or Exponential Moving averages, you can set type of moving averages and the lengths. You can also set the lengths for each Indicators.
Indicators:
- RSI
- MACD ( MACD and Signal and Histogram )
- DMI ( +DI and -DI + and ADX )
- CCI
- MFI
- Momentum
- MA with Length 50 (length can be set)
- MA with Length 200 (length can be set)
In this example RSI, MACD and MA 200 were chosen, you can see how table size changes dynamically:
Enjoy!
RSI Tops and BottomsHello Traders
This script finds Tops when RSI is in overbought area or Bottoms when RSI is in oversold area and checks the divergence between them. it checks divergence at tops/bottoms after RSI exited from OB/OS areas.
You can change overbought / oversold levels.
You can limit the time that RSI is in OB/OS area with the option "Max Number of Bars in OB/OS"
you can set the minimum/maximum distances between Tops/Bottoms with the options "Min Number of Bars between Tops/Bottoms" and "Max Number of Bars between Topss/Bottoms"
and you can set the color and line widths as you wish.
These tops or bottom must be sequential, means there mustn't be another top while checking tops or bottom while checking bottoms between them.
in next example you can see valid and invalid bottoms:
After you got signal then you better use Stop Order, a few pips higher than the high of colored candle for long positions, ( vise versa in short positions ). so you may escape from traps. ("Stop order" is filled when the price reached a pre-specified price. for example the price is now 10.0 and you set Buy Stop Order at 11.0 then if price reaches 11.0 then your buy order get filled. you can put stoploss a few pips lower than the low of colored candle or you can use ATR to decice stoploss level. how you wish)
For example in following screenshot you can see that buy stop order was not filled and you didn't take long position.
Enjoy!
Indicator Panel MTF (MACD, RSI, Momentum, Stoch, CCI)This script shows the values of MACD, RSI, Momentum, Stoch, CCI for current and higher time frames in a panel. if higher time frame is equal or smaller than current time frame and it doesn't show the values for HTF.
And also it shows if their values are increasing, decreasing or equal to last value with "▲", "▼", "="
The signal length for all indicators is 9 and used EMA.
histogram value is indicator value - it's signal value. with this value you can see that indicator and its signal getting closer or not. you may think it's as momentum.
Some functions and idea is used from following scripts:
Thanks to Lucf for the following script:
Thanks to Ricardo Santos for the following script:
Average Indicators Positionsby this script you can see the average level of macd, macd-asprey, rsi, stochastic, cci, momentum, obv, DI, volume weighted macd, cmf indicators within a period. It also calculates and creates the same graph for higher time frame, so you can see average levels for current and higher time frame. you can also check it for divergence/convergence. You can use it as you wish and add/remove indicators.
