Multi-Timeframe Trend Analysis [BigBeluga]Multi-Timeframe Trend Analysis
A powerful trend-following dashboard designed to help traders monitor and compare trend direction across multiple higher timeframes. By analyzing EMA conditions from five customizable timeframes, this tool gives a clear visual breakdown of short- to long-term trend alignment.
🔵Key Features:
Multi-Timeframe EMA Dashboard:
➣ Displays a table in the top-right corner showing trend direction across 5 user-defined timeframes.
➣ Each row shows whether ema is rising or falling its corresponding EMA for that timeframe.
➣ Green arrows (🢁) indicate uptrends, purple arrows (🢃) signal downtrends.
Custom Timeframe Selection:
➣ Traders can input any 5 timeframes (e.g., 1h, 2h, 3h, etc.) with individual EMA lengths for flexible trend mapping.
➣ The tool auto-adjusts to match and align external timeframe EMAs to the current chart for seamless overlay.
Dynamic Chart Arrows:
➣ On-chart arrows mark when EMA rising or falling EMAs from the current chart timeframe.
➣ Each EMA arrows has a unique transparency level—shorter EMA arrows are more transparent, longer EMA arrows are more vivid. (Hover Mouse over the arrow to see which EMAs it is)
Gradient EMA Plotting:
➣ All five EMAs are plotted with gradually increasing opacity.
➣ Gradient fills between EMAs enhance visual structure, making it easier to track convergence/divergence.
🔵Usage:
Trend Confirmation: Use the dashboard to confirm multi-timeframe trend alignment before entering trades.
Entry Filtering: Avoid countertrend trades by spotting when higher timeframes disagree with the current one.
Momentum Insight: Track the transition of arrows from lighter to stronger opacity to visualize trend shifts over time.
Scalping or Swinging: Customize timeframes depending on your strategy—from intraday scalps to longer-term swings.
Multi-Timeframe Trend Analysis is the ultimate visual companion for traders who want clarity on how price behaves across multiple time horizons. With its smart EMA mapping and dashboard feedback, it keeps you aligned with dominant trend directions and transition zones at all times.
Trendanalyse
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview
MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters.
※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance.
Strategy Objectives
Identify early trend transitions with high probability
Filter entries using volume dynamics to validate momentum
Maintain continuous exposure using a reversal-style model
Apply a consistent 1:1.5 risk-to-reward ratio per trade
Key Features
Integrated MACD and volume oscillator filtering
Zero repainting (all signals confirmed on closed candles)
Automatic position flipping for seamless direction shifts
Stop-loss and take-profit based on recent structural highs/lows
Trading Rules
Long Entry Conditions
MACD crosses above the zero line (BBO Buy arrow)
Volume oscillator is positive (short EMA > long EMA)
MACD is above the signal line
Close any existing short and enter a new long
Short Entry Conditions
MACD crosses below the zero line (BBO Sell arrow)
Volume oscillator is positive
MACD is below the signal line
Close any existing long and enter a new short
Exit Rules
Take Profit (TP) = Entry ± (risk distance × 1.5)
Stop Loss (SL) = Recent swing low (for long) or high (for short)
Early Exit = Triggered when a reversal signal appears (flip logic)
Risk Management Parameters
Pair: ETH/USD
Timeframe: 10-minute
Starting Capital: $3,000
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted for sustainable practice)
Total Trades: 312 (backtest on selected dataset)
※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions.
Parameters & Configurations
Volume Short Length: 6
Volume Long Length: 12
MACD Fast Length: 11
MACD Slow Length: 21
Signal Smoothing: 10
Oscillator MA Type: SMA
Signal Line MA Type: SMA
Visual Support
Green arrow = Long entry
Red arrow = Short entry
MACD lines, signal line, and histogram
SL/TP markers plotted directly on the chart
Strategic Advantages & Uniqueness
Volume filtering eliminates low-participation, weak signals
Structurally aligned SL/TP based on recent market pivots
No repainting — decisions are made only on closed candles
Always in the market due to the reversal-style framework
Inspirations & Attribution
This strategy is inspired by the excellent work of:
Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol”
Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation.
HasanRifat – “MACD Fake Filter ”
Introduced a signal filter using MACD wave height averaging to reduce false positives.
This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system.
Summary
MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions.
100% mechanical — no discretionary input required
Designed for high-confidence entries
Can be extended with filters, alerts, or trailing stops
※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
TrendWave Bands [BigBeluga]This is a trend-following indicator that dynamically adapts to market trends using upper and lower bands. It visually highlights trend strength and duration through color intensity while providing additional wave bands for deeper trend analysis.
🔵Key Features:
Adaptive Trend Bands:
➣ Displays a lower band in uptrends and an upper band in downtrends to indicate trend direction.
➣ The bands act as dynamic support and resistance levels, helping traders identify potential entry and exit points.
Wave Bands for Additional Analysis:
➣ A dashed wave band appears opposite the main trend band for deeper trend confirmation.
➣ In an uptrend, the upper dashed wave band helps analyze momentum, while in a downtrend, the lower dashed wave band serves the same purpose.
Gradient Color Intensity:
➣ The trend bands have a color gradient that fades as the trend continues, helping traders visualize trend duration.
➣ The wave bands have an inverse gradient effect—starting with low intensity at the trend's beginning and increasing in intensity as the trend progresses.
Trend Change Signals:
➣ Circular markers appear at trend reversals, providing clear entry and exit points.
➣ These signals mark transitions between bullish and bearish phases based on price action.
🔵Usage:
Trend Following: Use the lower band for confirmation in uptrends and the upper band in downtrends to stay on the right side of the market.
Trend Duration Analysis: Gradient wavebands give an idea of the duration of the current trend — new trends will have high-intensity colored wavebands and as time goes on, trends will fade.
Trend Reversal Detection: Circular markers highlight trend shifts, making it easier to spot entry and exit opportunities.
Volatility Awareness: Volatility-based bands help traders adjust their strategies based on market volatility, ensuring better risk management.
TrendWave Bands is a powerful tool for traders seeking to follow market trends with enhanced visual clarity. By combining trend bands, wave bands, and gradient-based color scaling, it provides a detailed view of market dynamics and trend evolution.
Enhanced Fuzzy SMA Analyzer (Multi-Output Proxy) [FibonacciFlux]EFzSMA: Decode Trend Quality, Conviction & Risk Beyond Simple Averages
Stop Relying on Lagging Averages Alone. Gain a Multi-Dimensional Edge.
The Challenge: Simple Moving Averages (SMAs) tell you where the price was , but they fail to capture the true quality, conviction, and sustainability of a trend. Relying solely on price crossing an average often leads to chasing weak moves, getting caught in choppy markets, or missing critical signs of trend exhaustion. Advanced traders need a more sophisticated lens to navigate complex market dynamics.
The Solution: Enhanced Fuzzy SMA Analyzer (EFzSMA)
EFzSMA is engineered to address these limitations head-on. It moves beyond simple price-average comparisons by employing a sophisticated Fuzzy Inference System (FIS) that intelligently integrates multiple critical market factors:
Price deviation from the SMA ( adaptively normalized for market volatility)
Momentum (Rate of Change - ROC)
Market Sentiment/Overheat (Relative Strength Index - RSI)
Market Volatility Context (Average True Range - ATR, optional)
Volume Dynamics (Volume relative to its MA, optional)
Instead of just a line on a chart, EFzSMA delivers a multi-dimensional assessment designed to give you deeper insights and a quantifiable edge.
Why EFzSMA? Gain Deeper Market Insights
EFzSMA empowers you to make more informed decisions by providing insights that simple averages cannot:
Assess True Trend Quality, Not Just Location: Is the price above the SMA simply because of a temporary spike, or is it supported by strong momentum, confirming volume, and stable volatility? EFzSMA's core fuzzyTrendScore (-1 to +1) evaluates the health of the trend, helping you distinguish robust moves from noise.
Quantify Signal Conviction: How reliable is the current trend signal? The Conviction Proxy (0 to 1) measures the internal consistency among the different market factors analyzed by the FIS. High conviction suggests factors are aligned, boosting confidence in the trend signal. Low conviction warns of conflicting signals, uncertainty, or potential consolidation – acting as a powerful filter against chasing weak moves.
// Simplified Concept: Conviction reflects agreement vs. conflict among fuzzy inputs
bullStrength = strength_SB + strength_WB
bearStrength = strength_SBe + strength_WBe
dominantStrength = max(bullStrength, bearStrength)
conflictingStrength = min(bullStrength, bearStrength) + strength_N
convictionProxy := (dominantStrength - conflictingStrength) / (dominantStrength + conflictingStrength + 1e-10)
// Modifiers (Volatility/Volume) applied...
Anticipate Potential Reversals: Trends don't last forever. The Reversal Risk Proxy (0 to 1) synthesizes multiple warning signs – like extreme RSI readings, surging volatility, or diverging volume – into a single, actionable metric. High reversal risk flags conditions often associated with trend exhaustion, providing early warnings to protect profits or consider counter-trend opportunities.
Adapt to Changing Market Regimes: Markets shift between high and low volatility. EFzSMA's unique Adaptive Deviation Normalization adjusts how it perceives price deviations based on recent market behavior (percentile rank). This ensures more consistent analysis whether the market is quiet or chaotic.
// Core Idea: Normalize deviation by recent volatility (percentile)
diff_abs_percentile = ta.percentile_linear_interpolation(abs(raw_diff), normLookback, percRank) + 1e-10
normalized_diff := raw_diff / diff_abs_percentile
// Fuzzy sets for 'normalized_diff' are thus adaptive to volatility
Integrate Complexity, Output Clarity: EFzSMA distills complex, multi-factor analysis into clear, interpretable outputs, helping you cut through market noise and focus on what truly matters for your decision-making process.
Interpreting the Multi-Dimensional Output
The true power of EFzSMA lies in analyzing its outputs together:
A high Trend Score (+0.8) is significant, but its reliability is amplified by high Conviction (0.9) and low Reversal Risk (0.2) . This indicates a strong, well-supported trend.
Conversely, the same high Trend Score (+0.8) coupled with low Conviction (0.3) and high Reversal Risk (0.7) signals caution – the trend might look strong superficially, but internal factors suggest weakness or impending exhaustion.
Use these combined insights to:
Filter Entry Signals: Require minimum Trend Score and Conviction levels.
Manage Risk: Consider reducing exposure or tightening stops when Reversal Risk climbs significantly, especially if Conviction drops.
Time Exits: Use rising Reversal Risk and falling Conviction as potential signals to take profits.
Identify Regime Shifts: Monitor how the relationship between the outputs changes over time.
Core Technology (Briefly)
EFzSMA leverages a Mamdani-style Fuzzy Inference System. Crisp inputs (normalized deviation, ROC, RSI, ATR%, Vol Ratio) are mapped to linguistic fuzzy sets ("Low", "High", "Positive", etc.). A rules engine evaluates combinations (e.g., "IF Deviation is LargePositive AND Momentum is StrongPositive THEN Trend is StrongBullish"). Modifiers based on Volatility and Volume context adjust rule strengths. Finally, the system aggregates these and defuzzifies them into the Trend Score, Conviction Proxy, and Reversal Risk Proxy. The key is the system's ability to handle ambiguity and combine multiple, potentially conflicting factors in a nuanced way, much like human expert reasoning.
Customization
While designed with robust defaults, EFzSMA offers granular control:
Adjust SMA, ROC, RSI, ATR, Volume MA lengths.
Fine-tune Normalization parameters (lookback, percentile). Note: Fuzzy set definitions for deviation are tuned for the normalized range.
Configure Volatility and Volume thresholds for fuzzy sets. Tuning these is crucial for specific assets/timeframes.
Toggle visual elements (Proxies, BG Color, Risk Shapes, Volatility-based Transparency).
Recommended Use & Caveats
EFzSMA is a sophisticated analytical tool, not a standalone "buy/sell" signal generator.
Use it to complement your existing strategy and analysis.
Always validate signals with price action, market structure, and other confirming factors.
Thorough backtesting and forward testing are essential to understand its behavior and tune parameters for your specific instruments and timeframes.
Fuzzy logic parameters (membership functions, rules) are based on general heuristics and may require optimization for specific market niches.
Disclaimer
Trading involves substantial risk. EFzSMA is provided for informational and analytical purposes only and does not constitute financial advice. No guarantee of profit is made or implied. Past performance is not indicative of future results. Use rigorous risk management practices.
Volume Order Blocks [BigBeluga]Volume Order Blocks is a powerful indicator that identifies significant order blocks based on price structure, helping traders spot key supply and demand zones. The tool leverages EMA crossovers to determine the formation of bullish and bearish order blocks while visualizing their associated volume and relative strength.
🔵 Key Features:
Order Block Detection via EMA Crossovers:
Plots bullish order blocks at recent lows when the short EMA crosses above the long EMA.
Plots bearish order blocks at recent highs when the short EMA crosses below the long EMA.
Uses customizable sensitivity through the “Sensitivity Detection” setting to fine-tune block formation.
Volume Collection and Visualization:
Calculates the total volume between the EMA crossover bar and the corresponding high (bearish OB) or low (bullish OB).
Displays the absolute volume amount next to each order block for clear volume insights.
Percentage Volume Distribution:
Shows the percentage distribution of volume among bullish or bearish order blocks.
100% represents the cumulative volume of all OBs in the same category (bullish or bearish).
Order Block Removal Conditions:
Bullish order blocks are removed when the price closes below the bottom of the block.
Bearish order blocks are removed when the price closes above the top of the block.
Helps maintain chart clarity by only displaying relevant and active levels.
Midline Feature:
Dashed midline inside each order block indicates the midpoint between the upper and lower boundaries.
Traders can toggle the midline on or off through the settings.
Shadow Trend:
Shadow Trend dynamically visualizes trend strength and direction by adapting its color intensity based on price movement.
🔵 Usage:
Supply & Demand Zones: Use bullish and bearish order blocks to identify key market reversal or continuation points.
Volume Strength Analysis: Compare volume percentages to gauge which order blocks hold stronger market significance.
Breakout Confirmation: Monitor block removal conditions for potential breakout signals beyond support or resistance zones.
Trend Reversals: Combine EMA crossovers with order block formation for early trend reversal detection.
Risk Management: Use OB boundaries as potential stop-loss or entry points.
Volume Order Blocks is an essential tool for traders seeking to incorporate volume-based supply and demand analysis into their trading strategy. By combining price action, volume data, and EMA crossovers, it offers a comprehensive view of market structure and potential turning points.
Logarithmic Regression Channel-Trend [BigBeluga]
This indicator utilizes logarithmic regression to track price trends and identify overbought and oversold conditions within a trend. It provides traders with a dynamic channel based on logarithmic regression, offering insights into trend strength and potential reversal zones.
🔵Key Features:
Logarithmic Regression Trend Tracking: Uses log regression to model price trends and determine trend direction dynamically.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
average = sumY / length
intercept = average - slope * sumX / length + slope
Regression-Based Channel: Plots a log regression channel around the price to highlight overbought and oversold conditions.
Adaptive Trend Colors: The color of the regression trend adjusts dynamically based on price movement.
Trend Shift Signals: Marks trend reversals when the log regression line cross the log regression line 3 bars back.
Dashboard for Key Insights: Displays:
- The regression slope (multiplied by 100 for better scale).
- The direction of the regression channel.
- The trend status of the logarithmic regression band.
🔵Usage:
Trend Identification: Observe the regression slope and channel direction to determine bullish or bearish trends.
Overbought/Oversold Conditions: Use the channel boundaries to spot potential reversal zones when price deviates significantly.
Breakout & Continuation Signals: Price breaking outside the channel may indicate strong trend continuation or exhaustion.
Confirmation with Other Indicators: Combine with volume or momentum indicators to strengthen trend confirmation.
Customizable Display: Users can modify the lookback period, channel width, midline visibility, and color preferences.
Logarithmic Regression Channel-Trend is an essential tool for traders who want a dynamic, regression-based approach to market trends while monitoring potential price extremes.
Parabolic SAR Deviation [BigBeluga]Parabolic SAR + Deviation is an enhanced Parabolic SAR indicator designed to detect trends while incorporating deviation levels and trend change markers for added depth in analyzing price movements.
🔵 Key Features:
> Parabolic SAR with Optimized Settings:
Built on the classic Parabolic SAR, this version uses predefined default settings to enhance its ability to detect and confirm trends.
Clear trend direction is indicated by smooth trend lines, allowing traders to easily visualize market movements.
Trend Change Markers:
When a trend change occurs based on the SAR, the indicator plots a triangle at the trend change point.
The triangle is accompanied by the price value of the trend change, allowing traders to identify key reversal points instantly.
> Deviation Levels:
Four deviation levels are automatically plotted when a trend change occurs (up or down).
Uptrend: Deviation levels are positioned above the entry point.
Downtrend: Deviation levels are positioned below the entry point.
Levels are labeled with numbers 1 to 4, representing increasing degrees of deviation.
> Dynamic Level Updates:
When the price crosses a deviation level, the level becomes dashed and its label changes to display the volume at the breakout point.
This volume information helps traders assess the strength of the breakout and the potential for trend continuation or reversal.
> Volume Analysis at Breakpoints:
The volume displayed at crossed deviation levels provides insight into the strength of the price movement.
High volume at a breakout may indicate strong momentum, while low volume could signal potential exhaustion or a false breakout.
🔵 Usage:
Identify Trends: Use the trend change triangles and smooth SAR trend lines to confirm whether the market is trending up or down.
Analyze Deviation Levels: Monitor deviation levels **1–4** to identify potential breakout points and assess the degree of price deviation from the entry point.
Observe Trend Change Points: Utilize the triangles and price labels to quickly spot significant trend changes.
Volume Insights: Evaluate the volume displayed at crossed levels to determine the strength of the breakout and assess the likelihood of trend continuation or reversal.
Risk Management: Use deviation levels as potential stop-loss or take-profit zones, depending on the strength of the trend and volume conditions.
Parabolic SAR + Deviation is an essential tool for traders seeking a straightforward yet powerful method to identify trends, analyze price deviations, and gain insights into volume dynamics at critical breakout and trend change levels.
HTF Trend Tracker [BigBeluga]HTF Trend Tracker is a higher timeframe (HTF) trend tracking indicator designed to help traders identify significant trends, key levels, and market sentiment. The indicator dynamically adapts to the current price action, using HTF highs and lows to display trend direction and strength with detailed visuals.
🔵 Key Features:
Dynamic Trend Detection:
Uptrend is identified when the price closes above the HTF high.
Downtrend is detected when the price closes below the HTF low.
Midline changes color dynamically based on the trend direction:
Bullish Green: Indicates an uptrend.
Bearish Red: Indicates a downtrend.
Historical and Active HTF Levels:
Historic HTF highs and lows are displayed as dotted lines.
Current active HTF high and low levels are shown as solid lines.
Timeframe labels (e.g., "1D High" or "1D Low") mark the active levels for clarity.
Trend Change Signals:
A green checkmark (✓) is plotted when an uptrend starts.
A red cross (✕) appears when a downtrend begins.
Trend-Based Candle Coloring:
Candle colors change dynamically based on the trend and the price's distance from the midline:
Intense Bullish Green: Price is far above the midline during an uptrend.
Intense Bearish Red: Price is far below the midline during a downtrend.
Neutral Gray: Price is near the midline.
Users can customize the colors to suit their preferences.
🔵 Usage:
Identify uptrends and downtrends using the midline's color and the position of the close relative to the HTF levels.
Use solid lines and timeframe labels to track current HTF high and low levels.
Observe dotted lines for historical HTF levels to understand past price behavior.
Watch for checkmark (✓) and cross (✕) signals to spot trend changes and key market shifts.
Monitor candle colors to gauge trend intensity and proximity to the midline:
Intense colors signal strong trends, while neutral gray indicates consolidation near the midline.
HTF Trend Tracker is an essential tool for traders aiming to follow higher timeframe trends, identify key levels, and make data-driven decisions based on price dynamics and trend strength. Its customizable features allow for flexible integration into any trading strategy.
Liquidity Location Detector [BigBeluga]
This indicator helps traders identify potential liquidity zones by detecting significant volume levels at key highs and lows. By using color intensity and scoring numbers, it visually highlights areas where liquidity concentration may be highest while incorporating trend analysis through EMAs.
🔵Key Features:
Liquidity Zone Detection: Automatically detects and marks areas where significant volume has accumulated at swing highs and lows.
Dynamic Box Plotting: Draws liquidity boxes at key highs and lows, updating based on market conditions.
Volume Strength Scaling: Uses a scoring system to rank liquidity zones, helping traders identify the strongest areas.
Color Intensity for Volume Strength: More transperent color indicate less liquidity, while less transperent represent stronger volume concentrations.
Customizable Display: Users can adjust the number of displayed liquidity zones and modify colors to suit their trading style.
Real-Time Liquidity Adaptation: As price interacts with liquidity zones, the indicator updates dynamically to reflect changing market conditions.
Auto-Stopping Liquidity Zones: Liquidity boxes automatically stop extending to the right once price crosses them, preventing outdated zones from interfering with live market action.
Trend Analysis with EMAs: Includes two optional EMAs (fast and slow) to help traders analyze market trends. Users can enable or disable these EMAs in the settings and use crossover signals for trend confirmation.
🔵Usage:
Identify Key Liquidity Areas: Use color intensity and transparency levels to determine high-impact liquidity zones.
Support & Resistance Confirmation: Liquidity zones can act as potential support and resistance levels, enhancing trade decision-making.
Market Structure Analysis: Observe how price interacts with liquidity to anticipate breakout or reversal points.
Scalping & Swing Trading: Works for both short-term and long-term traders looking for liquidity-based trade setups.
Liquidation Map Insight: A liquidity map highlights areas where large amounts of leveraged positions (both long and short) are likely to get liquidated. Since many traders use leverage, sharp price movements can trigger a cascade of liquidations, leading to rapid price surges or drops. Monitoring these liquidity zones and trends helps traders anticipate where price might react strongly.
Liquidity Location Detector is an essential tool for traders seeking to map out potential liquidity zones, providing deeper insights into market structure and trading volume dynamics.
Triangular Hull Moving Average + Volatility [BigBeluga]This indicator combines the Triangular Hull Moving Average (THMA) with a volatility overlay to provide a smoother trend-following tool while dynamically visualizing market volatility.
🔵 Key Features:
THMA-Based Trend Detection: The indicator applies a Triangular Hull Moving Average (THMA) to smooth price data, reducing lag while maintaining responsiveness to trend changes.
// THMA
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
Dynamic Volatility Bands: When enabled, the indicator displays wicks extending from the THMA-based candles. These bands expand and contract based on price volatility.
Trend Reversal Signals The indicator marks trend shifts using triangle-shaped signals:
- Upward triangles appear when the THMA trend shifts to bullish.
- Downward triangles appear when the THMA trend shifts to bearish.
Customizable Settings: Users can adjust the THMA length, volatility calculation period, and colors for up/down trends to fit their trading style.
Informative Dashboard: The bottom-right corner displays the current trend direction and volatility percentage, helping traders quickly assess market conditions.
🔵 Usage:
Trend Trading: The colored candles indicate whether the market is trending up or down. Traders can follow the trend direction and use trend reversals for entry or exit points.
Volatility Monitoring: When the volatility feature is enabled, the expanding or contracting wicks help visualize market momentum and potential breakout strength.
Signal Confirmation: The triangle signals can be used to confirm potential entry points when the trend shifts.
This tool is ideal for traders who want a responsive moving average with volatility insights to enhance their trend-following strategies.
Levels Strength Index [BigBeluga]Levels Strength Index provides a unique perspective on market strength by comparing price positions relative to predefined levels, delivering a dynamic probability-based outlook for potential up and down moves.
🔵 Idea:
The Levels Strength Index analyzes the price position against a series of calculated levels, assigning probabilities for upward and downward movements. These probabilities are displayed in percentage form, providing actionable insights into market momentum and strength. The color-coded display visually reinforces whether the price is predominantly above or below key levels, simplifying trend analysis.
🔵 Key Features:
Dynamic Probability Calculation: The indicator compares the current price position relative to 10 predefined levels, assigning an "Up" and "Down" percentage. For example, if the price is above 8 levels, it will display 80% upward and 20% downward probabilities.
Color-Coded Trend Visualization: When the price is above the majority of levels, the display turns green, signaling strength. Conversely, when below, it shifts to orange, reflecting bearish momentum.
Clear Up/Down Probability Labels: Probabilities are displayed with directional arrows next to the price, instantly showing the likelihood of upward or downward moves.
Probability-Based Price Line: The price line is color-coded based on the probability percentages, allowing a quick glance at the prevailing trend and market strength. This can be toggled in the settings.
Customizable Transparency: Adjust the transparency of the levels to seamlessly integrate the indicator with your preferred chart setup.
Fully Configurable: Control key parameters such as the length of levels and price color mode (trend, neutral, or none) through intuitive settings.
🔵 When to Use:
The Levels Strength Index is ideal for traders looking to:
Identify strong upward or downward market momentum using quantified probabilities.
Visualize price strength relative to key levels with intuitive color coding.
Supplement existing level-based strategies by combining probabilities and market positioning.
Gain instant clarity on potential market moves with percentage-based insights.
Whether you're trading trends or ranges, this tool enhances decision-making by combining level-based analysis with a dynamic probability system, offering a clear, actionable perspective on market behavior.
Heat Map Trend (VIDYA MA) [BigBeluga]The Heat Map Trend (VIDYA MA) - BigBeluga indicator is a multi-timeframe trend detection tool based on the Volumetric Variable Index Dynamic Average (VIDYA). This indicator calculates trends using volume momentum, or volatility if volume data is unavailable, and displays the trends across five customizable timeframes. It features a heat map to visualize trends, color-coded candles based on an average of the five timeframes, and a dashboard that shows the current trend direction for each timeframe. This tool helps traders identify trends while minimizing market noise and is particularly useful in detecting faster market changes in shorter timeframes.
🔵 KEY FEATURES & USAGE
◉ Volumetric Variable Index Dynamic Average (VIDYA):
The core of the indicator is the VIDYA moving average, which adjusts dynamically based on volume momentum. If volume data isn't available, the indicator uses volatility instead to smooth the moving average. This allows traders to assess the trend direction with more accuracy, using either volume or volatility, if volume data is not provided, as the basis for the trend calculation.
// VIDYA CALCULATION -----------------------------------------------------------------------------------------
// ATR (Average True Range) and volume calculation
bool volume_check = ta.cum(volume) <= 0
float atrVal = ta.atr(1)
float volVal = volume_check ? atrVal : volume // Use ATR if volume is not available
// @function: Calculate the VIDYA (Volumetric Variable Index Dynamic Average)
vidya(src, len, cmoLen) =>
float cmoVal = ta.sma(ta.cmo(volVal, cmoLen), 10) // Calculate the CMO and smooth it with an SMA
float absCmo = math.abs(cmoVal) // Absolute value of CMO
float alpha = 2 / (len + 1) // Alpha factor for smoothing
var float vidyaVal = 0.0 // Initialize VIDYA
vidyaVal := alpha * absCmo / 100 * src + (1 - alpha * absCmo / 100) * nz(vidyaVal ) // VIDYA formula
◉ Multi-Timeframe Trend Analysis with Heat Map Visualization:
The indicator calculates VIDYA across five customizable timeframes, allowing traders to analyze trends from multiple perspectives. The resulting trends are displayed as a heat map below the chart, where each timeframe is represented by a gradient color. The color intensity reflects the distance of the moving average (VIDYA) from the price, helping traders to identify trends on different timeframes visually. Shorter timeframes in the heat map are particularly useful for detecting faster market changes, while longer timeframes help to smooth out market noise and highlight the general trend.
Trend Direction:
Heat Map Reading:
◉ Dashboard for Multi-Timeframe Trend Directions:
The built-in dashboard displays the trend direction for each of the five timeframes, showing whether the trend is up or down. This quick overview provides traders with valuable insights into the current market conditions across multiple timeframes, helping them to assess whether the market is aligned or if there are conflicting trends. This allows for more informed decisions, especially during volatile periods.
◉ Color-Coded Candles Based on Multi-Timeframe Averages:
Candles are dynamically colored based on the average of the VIDYA across all five timeframes. When the price is in an uptrend, the candles are colored blue, while in a downtrend, they are colored red. If the VIDYA averages suggest a possible trend shift, the candles are displayed in orange to highlight a potential change in momentum. This color coding simplifies the process of identifying the dominant trend and spotting potential reversals.
BTC:
SP500:
◉ UP and DOWN Signals for Trend Direction Changes:
The indicator provides clear UP and DOWN signals to mark trend direction changes. When the average VIDYA crosses above a certain threshold, an UP signal is plotted, indicating a shift to an uptrend. Conversely, when it crosses below, a DOWN signal is shown, highlighting a transition to a downtrend. These signals help traders to quickly identify shifts in market direction and respond accordingly.
🔵 CUSTOMIZATION
VIDYA Length and Momentum Settings:
Adjust the length of the VIDYA moving average and the period for calculating volume momentum. These settings allow you to fine-tune how sensitive the indicator is to market changes, helping to match it with your preferred trading style.
Timeframe Selection:
Select five different timeframes to analyze trends simultaneously. This gives you the flexibility to focus on short-term trends, long-term trends, or a combination of both depending on your trading strategy.
Candle and Heat Map Color Customization:
Change the colors of the candles and heat map to fit your personal preferences. This customization allows you to align the visuals of the indicator with your overall chart setup, making it easier to analyze market conditions.
🔵 CONCLUSION
The Heat Trend (VIDYA MA) - BigBeluga indicator provides a comprehensive, multi-timeframe view of market trends, using VIDYA moving averages that adapt to volume momentum or volatility. Its heat map visualization, combined with a dashboard of trend directions and color-coded candles, makes it an invaluable tool for traders looking to understand both short-term market fluctuations and longer-term trends. By showing the overall market direction across multiple timeframes, it helps traders avoid market noise and focus on the bigger picture while being alert to faster shifts in shorter timeframes.
Kalman Trend Levels [BigBeluga]Kalman Trend Levels is an advanced trend-following indicator designed to highlight key support and resistance zones based on Kalman filter crossovers. With dynamic trend analysis and actionable signals, it helps traders interpret market direction and momentum shifts effectively.
🔵 Key Features:
Trend Levels with Crossover Boxes: Identifies trend shifts by tracking crossovers between fast and slow Kalman filters. When the fast line crosses above the slow line, a green box level appears, indicating a potential support zone. When it crosses below, a red box level forms, acting as a resistance zone.
Retest Signals for Support and Resistance Levels: Enable retest signals to capture price rejections at the established levels, providing possible re-entry points where the price confirms a support or resistance area.
Adaptive Candle Coloring by Trend Momentum: Candle colors adjust based on the trend's strength:
> During a downtrend, if the fast Kalman line shows upward movement, indicating reduced bearish momentum, candles turn gray to signal the weakening trend.
> In an uptrend, when the fast Kalman line declines, showing lower bullish momentum, candles become gray, signaling a potential slowdown in upward movement.
Crossover Signals with Price Labels: Displays arrows with price values at crossover points for quick reference, marking where the fast line overtakes or dips below the slow line. These labels provide a precise price snapshot of significant trend changes.
🔵 When to Use:
The Kalman Trend Levels indicator is ideal for traders looking to identify and act upon trend changes and significant price zones. By visualizing key levels and momentum shifts, this tool allows you to:
Define support and resistance zones that align with trend direction.
Identify and react to trend weakening or strengthening via candle color changes.
Use retest signals for potential re-entries at critical levels.
See crossover points and price values to gain a clearer view of trend changes in real time.
With its focus on trend direction, support/resistance, and momentum clarity, Kalman Trend Levels is an essential tool for navigating trending markets, providing actionable insights with every crossover and trend shift.
Dema Percentile Standard DeviationDema Percentile Standard Deviation
The Dema Percentile Standard Deviation indicator is a robust tool designed to identify and follow trends in financial markets.
How it works?
This code is straightforward and simple:
The price is smoothed using a DEMA (Double Exponential Moving Average).
Percentiles are then calculated on that DEMA.
When the closing price is below the lower percentile, it signals a potential short.
When the closing price is above the upper percentile and the Standard Deviation of the lower percentile, it signals a potential long.
Settings
Dema/Percentile/SD/EMA Length's: Defines the period over which calculations are made.
Dema Source: The source of the price data used in calculations.
Percentiles: Selects the type of percentile used in calculations (options include 60/40, 60/45, 55/40, 55/45). In these settings, 60 and 55 determine percentile for long signals, while 45 and 40 determine percentile for short signals.
Features
Fully Customizable
Fully Customizable: Customize colors to display for long/short signals.
Display Options: Choose to show long/short signals as a background color, as a line on price action, or as trend momentum in a separate window.
EMA for Confluence: An EMA can be used for early entries/exits for added signal confirmation, but it may introduce noise—use with caution!
Built-in Alerts.
Indicator on Diffrent Assets
INDEX:BTCUSD 1D Chart (6 high 56 27 60/45 14)
CRYPTO:SOLUSD 1D Chart (24 open 31 20 60/40 14)
CRYPTO:RUNEUSD 1D Chart (10 close 56 14 60/40 14)
Remember no indicator would on all assets with default setting so FAFO with setting to get your desired signal.
Aroon Oscillator [BigBeluga]Aroon Oscillator with Mean Reversion & Trend Signals is a versatile tool that helps traders identify both trend direction and potential mean reversion points. The core Aroon Oscillator tracks the strength of a trend by measuring how long it has been since a high or low price occurred within a specified period. This oscillator provides trend-following signals (LONG/SHORT) along with mean reversion signals, giving traders both the ability to ride trends and anticipate reversals.
The unique feature of this indicator is the Mean Reversion Signals, marked with dots on the main chart, indicating potential points where the trend might reverse or retrace. In addition, trend-following signals (LONG and SHORT) are plotted directly on the chart, providing clear entry and exit points when a trend is beginning or ending.
🔵 IDEA
The Aroon Oscillator with Mean Reversion indicator provides a combined approach of trend analysis and mean reversion. The core idea is to track the health and momentum of trends, while also identifying when those trends might reverse or slow down. This dual approach allows traders to both follow the prevailing market direction and also capture mean reversion opportunities.
The oscillator is smoothed with John Ehlers' Zero Lag function , which helps reduce noise and improves signal clarity by removing lag without sacrificing the indicator's responsiveness.
The indicator uses color-coded signals and an easy-to-read oscillator to visually represent different types of signals on the chart. This makes it easy for traders to spot important changes in market trends and take action based on both the trend-following and mean reversion aspects of the indicator.
🔵 KEY FEATURES & USAGE
Trend Following Signals (LONG/SHORT):
In addition to mean reversion signals, the indicator also provides clear trend-following signals. LONG signals (green arrows) are plotted when the oscillator crosses above zero, indicating a potential uptrend. Conversely, SHORT signals (blue arrows) are plotted when the oscillator crosses below zero, signaling a potential downtrend.
Mean Reversion Signals:
This indicator features unique mean reversion signals, represented by dots on the main chart. These signals occur when the oscillator crosses over or under a smoother signal line, indicating that the current trend might be losing strength and a reversal or retracement is possible. Green dots represent a possible upward reversion, while blue dots signal a potential downward reversion.
Color-Coded Signals and Oscillator:
The Aroon Oscillator is color-coded to make it visually easier for traders to differentiate between trends and mean reversion signals. When the oscillator is above zero, the area is filled with green, and when it is below zero, the area is filled with blue. This visual representation helps traders quickly identify the current market condition at a glance.
🔵 CUSTOMIZATION
Aroon Length & Smoothing: Control the sensitivity of the Aroon Oscillator by adjusting the lookback period and smoothing settings, allowing traders to fine-tune the indicator to match different market conditions.
Mean Reversion Signals: Enable or disable mean reversion signals based on your trading preferences. Adjust the signal line length to control when these reversal signals are triggered.
Color Customization: Customize the colors for the oscillator and signals to match your chart’s color scheme for better visual clarity.
Volatility Gaussian Bands [BigBeluga]The Volatility Gaussian Bands indicator is a cutting-edge tool designed to analyze market trends and volatility with high precision. By applying a Gaussian filter to smooth price data and implementing dynamic bands based on market volatility, this indicator provides clear signals for trend direction, strength, and potential reversals. With updated volatility calculations, it enhances the accuracy of trend detection, making it a powerful addition to any trader's toolkit.
⮁ KEY FEATURES & USAGE
● Gaussian Filter Trend Bands:
The Gaussian Filter forms the foundation of this indicator by smoothing price data to reveal the underlying trend. The trend is visualized through upper and lower bands that adjust dynamically based on market volatility. These bands provide clear visual cues for traders: a crossover above the upper band indicates a potential uptrend, while a cross below the lower band signals a potential downtrend. This feature allows traders to identify trends with greater accuracy and act accordingly.
● Dynamic Trend Strength Gauges:
The indicator includes trend strength gauges positioned at the top and bottom of the chart. These gauges dynamically measure the strength of the uptrend and downtrend, based on the middle Gaussian line. Even if the trend is downward, a rising midline will cause the upward trend strength gauge to show an increase, offering a nuanced view of the market’s momentum.
Weakening of the trend:
● Fast Trend Change Indicators:
Triangles with a "+" symbol appear on the chart to signal rapid changes in trend direction. These indicators are particularly useful when the trend changes swiftly while the midline continues to grow in its previous direction. For instance, during a downtrend, if the trend suddenly shifts upward while the midline is still declining, a triangle with a "+" will indicate this quick reversal. This feature is crucial for traders looking to capitalize on rapid market movements.
● Retest Signals:
Retest signals, displayed as triangles, highlight potential areas where the price may retest the Gaussian line during a trend. These signals provide an additional layer of analysis, helping traders confirm trend continuations or identify possible reversals. The retest signals can be customized based on the trader’s preferences.
⮁ CUSTOMIZATION
● Length Adjustment:
The length of the Gaussian filter can be customized to control the sensitivity of trend detection. Shorter lengths make the indicator more responsive, while longer lengths offer a smoother, more stable trend line.
● Volatility Calculation Mode:
Traders can select from different modes (AVG, MEDIAN, MODE) to calculate the Gaussian filter, allowing for flexibility in how trends are detected and analyzed.
● Retest Signals Toggle:
Enable or disable the retest signals based on your trading strategy. This toggle allows traders to choose whether they want these additional signals to appear on the chart, providing more control over the information displayed during their analysis.
⮁ CONCLUSION
The Volatility Gaussian Bands indicator is a versatile and powerful tool for traders focused on trend and volatility analysis. By combining Gaussian-filtered trend lines with dynamic volatility bands, trend strength gauges, and rapid trend change indicators, this tool provides a comprehensive view of market conditions. Whether you are following established trends or looking to catch early reversals, the Volatility Gaussian Bands offers the precision and adaptability needed to enhance your trading strategy.
Smooth Cloud [BigBeluga]This trend-following indicator, called Smooth Cloud, is built on top of a SuperSmoother Filter of John Ehlers with small modification.
It consists of three smoothed lines—Fast, Middle, and Slow—that together form a cloud. These lines are based on different periods, helping traders analyze market changes over different timeframes (fast, mid, and slow). The indicator offers a color-coded visual cloud to depict trend direction, along with a detailed dashboard that shows the positioning of the lines, whether they are rising or falling, and their price levels.
🔵 IDEA
The Smooth Cloud indicator is designed to help traders quickly assess the market trend by using three smoothed lines with varying periods. The lines represent fast, mid, and slow market changes, and their relative positioning provides a clear view of trend shifts. The dashboard gives a more granular view by showing if the lines are rising or falling individually, without comparing them to each other, providing insights into potential trend changes before they are fully formed. The color-coded cloud further enhances the visual experience by allowing traders to see trend direction at a glance, making it easier to spot major and minor shifts in the market.
🔵 KEY FEATURES & USAGE
◉ Three Smoothed Lines (Fast, Mid, Slow):
The indicator consists of three smoothed lines, each representing a different periods. The Fast line reacts more quickly to price changes, while the Slow line reacts more slowly, allowing traders to capture both short-term and long-term trend information. The lines are based on different lengths, and their positioning relative to each other helps determine market direction.
◉ Color-Coded Cloud:
The cloud formed between the lines is color-coded to indicate trend direction. When the Fast line is above the Slow line, it signals an upward trend, and the cloud is green. When the Fast line is below the Slow line, the cloud turns red, indicating a downward trend. This color coding makes it easy to spot the overall trend direction visually without having to analyze the lines in detail.
◉ Dashboard for Line Positioning and Trend Direction:
A dashboard in the top right corner of the chart shows the positioning of the Fast, Middle, and Slow lines relative to each other. It displays arrows for each line to indicate whether the line is above or below the other lines. For exae determines its trend direction based on its position to mid line — if it's above, an upward arrow is displayed, and if it's below mid line, a downward arrow is shown.mple, if the Fast line is above the Slow line, the dashboard shows an upward arrow for the Fast line. The Slow lin
Up trend:
Up trend shift:
Down trend shift:
Down Trend:
◉ Rising and Falling Detection:
The dashboard also tracks whether the lines are rising or falling based solely on their own values. If a line rises or falls consistently over three bars, the dashboard shows an upward or downward arrow under the "Rising or Falling" section. This feature provides additional insight into the market's momentum, allowing traders to spot potential trend reversals more quickly.
◉ Price Levels for Fast, Middle, and Slow Lines:
The dashboard includes the price levels for the Fast, Middle, and Slow lines, displayed at the bottom. These levels give traders a quick reference for where the lines are currently positioned relative to the price, adding further context to the trend information displayed.
◉ Fast Signals:
The fast signals are diplayed when fast line crosses slow line. Gree arrows up shows fast line crossed over slow and when arrow down fast line crossed under slow one.
🔵 CUSTOMIZATION
Length Input: You can adjust the length parameter, which affects the smoothing period for the lines. A shorter length makes the lines react more quickly to price changes, while a longer length provides a smoother, more gradual response.
Source Input: The indicator uses the hl2 source (the average of the high and low prices), but you can change this to another source to better suit your trading strategy.
Signals Type: Select between "Fast" and "Slow". Fast signals - is interaction of fast and slow lines. Slow signals is interaction of mid and slow lines
Related script:
Support Resistance DynamicsThe Support Resistance Dynamics indicator is an advanced technical analysis tool designed to identify and visualize key support and resistance levels in real-time. This innovative indicator stands out from traditional support and resistance tools by employing a dynamic approach that adapts to market conditions.
Key Features:
Dynamic Level Calculation: Unlike static support and resistance indicators, this tool continuously updates levels based on recent price action, providing traders with the most relevant and up-to-date information.
Logarithmic Scale Option: The indicator offers a unique logarithmic scale feature, essential for analyzing long-term trends or assets with significant price changes. This allows for more accurate level plotting across various timeframes and price ranges.
Customizable Display: Users can adjust the number of support and resistance lines displayed, allowing for a clean and uncluttered chart view while focusing on the most significant levels.
Adaptive Slope Calculation: The indicator uses an innovative approach to calculate the slope of support and resistance lines, offering options from dynamic adaptation to fixed long-term periods. This ensures the lines remain relevant in both trending and ranging markets.
Enhanced Visualization: With customizable line colors, styles, and transparency, traders can easily distinguish between support and resistance levels, improving chart readability and analysis.
Flexible Period Settings: From dynamic calculations based on recent pivots to fixed long-term periods, the indicator adapts to various trading styles and timeframes.
The Support Resistance Dynamics indicator is particularly useful for:
Identifying potential reversal points in trends
Setting more accurate entry and exit points for trades
Placing stop-loss orders with greater precision
Recognizing breakout levels for potential new trends
By combining dynamic calculation methods with customizable visual elements, this indicator provides traders with a powerful tool for market analysis. Whether you're a day trader looking for short-term opportunities or a long-term investor analyzing macro trends, the Support Resistance Dynamics indicator offers valuable insights to enhance your trading strategy.
This indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument. Past performance is not indicative of future results. Trading involves significant risk of loss. Users should conduct their own research and due diligence before making any investment decisions. The creator of this indicator is not responsible for any losses incurred from its use. Always test thoroughly on demo accounts before applying to live trading.
Advanced Stochastic ForLoopAdvanced Stochastic ForLoop
OVERVIEW
Advanced Stochastic ForLoop is an improved version of Stochastic it is designed to calculate an array of values 1 or -1 depending if soruce for calculations is above or below basis.
It takes avereage of values over a range of lengths, providing trend signals smothed based on various moving averages in order to get rid of noise.
It offers flexibility with different signal modes and visual customizations.
TYPE OF SIGNALS
-FAST (MA > MA or MA > 0.99)
-SLOW (MA > 0)
-THRESHOLD CROSSING (set by user treshold for both directions)
-FAST THRESHOLD (when theres an change in signal by set margin e.g 0.4 -> 0.2 means bearsih when FT is set to 0.1, when MA is > 0.99 it will signal bullish, when MA < -0.99 it will signal bearish)
Generaly Lime color of line indicates Bullish, Fuchsia indicates Bearish.
This colors are not set in stone so you can change them in settings.
Alerts included when line color is:
-Bullish Trend, line color is lime
-Bearish Trend, line color is fuchsia
Credit
Idea for this script was from one of indicators created by www.tradingview.com
Warning
This indicator can be really noisy depending on the settings, signal mode so it should be used preferably as a part of an strategy not as a stand alone indicator
Remember the lower the timeframe you use the more noise there is.
No single indicator should be used alone when making investment decisions.
Bollinger Bands ForLoopBollinger Bands ForLoop
OVERVIEW
BB ForLoop is an improved version of Bollinger Bands it is designed to calculate an array of values 1 or -1 depending if soruce for calculations is above or below basis.
It takes avereage of values over a range of lengths, providing trend signals smothed based on various moving averages in order to get rid of noise.
It offers flexibility with different signal modes and visual customizations.
TYPE OF SIGNALS
-FAST (MA > MA or MA > 0.99)
-SLOW (MA > 0)
-THRESHOLD CROSSING (when cross above/below treshold set independently for both directions)
-FAST THRESHOLD (when there's change in signal by set margin e.g (0.4 -> 0.2) means bearsih when FT is set to 0.1, when MA is > 0.99 it will signal bullish, when MA < -0.99 it will signal bearish)
Generaly Lime color of line indicates Bullish, Fuchsia indicates Bearish.
This colors are not set in stone so you can change them in settings.
-Bullish Trend, line color is lime
-Bearish Trend, line color is fuchsia
Credit
Idea for this script was from one of indicators created by www.tradingview.com
Warning
Be careful when using this indicator especialy combining DEMA with FT (Fast Treshold).
This indicator can be really noisy depending on the settings, signal mode so it should be used preferably as a part of an strategy not as a stand alone indicator
Remember the lower the timeframe you use the more noise there is.
No single indicator should be used alone when making investment decisions.
Inverse Fisher Oscillator [BigBeluga]The Inverse Fisher Oscillator is a powerful tool for identifying market trends and potential reversal points by applying the Inverse Fisher Transform to normalized price data. This indicator plots multiple smoothed oscillators, each color-coded to signify their relation to dynamic volatility bands. Additionally, the Butterworth filter is incorporated to further refine trend signals. The Inverse Fisher Oscillator offers traders a visually appealing and insightful approach to trend analysis and market direction detection.
🔵 KEY FEATURES
● Inverse Fisher Oscillator Visualization
Multiple Oscillators : The indicator calculates and plots six different Inverse Fisher Oscillators, each smoothed at increasing levels to provide a layered view of price momentum.
Color-Coded Signals : The oscillator lines are color-coded based on their relation to the volatility bands—green for bullish momentum, red for bearish momentum, and yellow for neutral movements.
● Butterworth Filter Integration
Filtering : The Butterworth filter is applied to mid-line Bands to reduce noise, allowing for clearer trend detection.
// Calculate constants for the Butterworth filter
float piPrd = math.pi / mid_len
float g = math.sqrt(2)
float a1 = math.exp(-g * piPrd)
float b1 = 2 * a1 * math.cos(g * piPrd)
float coef2 = b1
float coef3 = -a1 * a1
float coef1 = (1 - b1 + a1 * a1) / 4
// Source data for the Butterworth filter
float source = ifish // The first inverse Fisher Oscillator is used as the source
// Previous source and butter filter values
var float butter = na // Initialize the 'butter' variable
// Handle null values using the nz function
float prevB1 = nz(butter , source) // Use 'source' as a fallback if butter is null
float prevB2 = nz(butter , source) // Use 'source' as a fallback if butter is null
// Calculate the Butterworth filter value
butter := coef1 * (source + (2 * source ) + source ) + (coef2 * prevB1) + (coef3 * prevB2)
● Numbered Signal Marks
Signal Markers : The indicator plots numbered signals on the chart when an oscillator crosses above the upper volatility band or below the lower volatility band.
Numbered Lines : Numbers correspond to the different oscillators (1-6), helping traders easily identify which smoothing level generated the signal.
Visual Cues : The signals are color-coded—green for bullish crossovers and red for bearish crossunders—providing clear visual cues for trend accumulation phases.
Mid-Line Option : Traders can choose between plotting the Butterworth filter as a dynamic mid-line or simply displaying it as part of the bands.
Volatility Bands : Dynamic volatility bands provide additional context for interpreting the strength and sustainability of trends.
● Dashboard Display
Real-Time Market Trend Overview : The dashboard in the bottom-right corner of the chart displays the market trend based on the Inverse Fisher Oscillator for six different smoothing levels, providing a clear visual summary of market direction.
Direction Symbols : Directional symbols (up, down, or neutral) are displayed in the dashboard, color-coded to represent bullish, bearish, or neutral momentum.
Current Price Display : The dashboard also shows the current price and highlights whether it is above or below the opening price.
🔵 HOW TO USE
● Identifying Trend Reversals
Bullish Reversals : When the oscillators short period lines start to cross above the upper volatility band (green), it indicates potential bullish momentum.
Bearish Reversals : When the oscillator crosses below the lower volatility band (red), it signals potential bearish momentum.
Neutral Signals : When the oscillator remains within the bands (yellow), it suggests that the market is in a neutral or consolidating state. Traders may choose to wait for a clearer trend signal.
● Using the Dashboard for Trend Overview
Market Trend Summary : The dashboard provides a quick overview of market direction across six different smoothing levels. Green arrows indicate bullish momentum, red arrows indicate bearish momentum, and wavy lines suggest neutrality.
Price Context : The dashboard also displays the current price, helping traders quickly assess whether the price is moving in the expected direction relative to their trend analysis.
● Volatility Band Interpretation
Volatility-Based Signals : Pay attention to how the oscillators interact with the volatility bands. Strong trends will often result in oscillators staying above or below the bands, while weaker trends or consolidations will see oscillators hovering within the bands.
🔵 CUSTOMIZATION
Length and Smoothing : Adjust the length and smoothing parameters to fit different market conditions and timeframes.
Bands Multiplier : Customize the multiplier for the volatility bands to make them more or less sensitive to price changes.
Mid-Line Type : Choose whether to display the Butterworth filter as a mid-line or incorporate it into the volatility bands.
Signal Markers : Toggle on or off the number markers for signal crossovers, making it easier to identify key entry and exit points.
🔵 CONCLUSION
The Inverse Fisher Oscillator combines the power of the Inverse Fisher Transform and the Butterworth filter to provide a sophisticated approach to trend and reversal detection. By leveraging volatility-based analysis and visually intuitive signals, this indicator helps traders spot potential entry and exit points with greater clarity. The customizable dashboard display adds further value, offering a real-time summary of market conditions to enhance decision-making. Use this tool in conjunction with other technical analysis methods to develop a well-rounded trading strategy.
Periodical Trend [BigBeluga]The Periodical Trend indicator is designed to provide a detailed analysis of market trends and volatility. It utilizes a combination of Moving Averages and volatility measures to plot trend line, highlight potential trend reversals, and indicate mean reversion opportunities. The indicator offers customizable display options, allowing traders to adjust for sensitivity, volatility bands, and price deviation visibility.
🔵 KEY FEATURES
● Periodical Trend Analysis
Uses (high + volatility) or (low - volatility) as the foundation for trend analysis with a set period.
// Condition to update the AVG array based on the selected mode
if mode == "Normal"
? bar_index == 122
: bar_index % period == 0
AVG.push(close) // Add the close price to the AVG array
// Update AVG array based on the period and price comparison
if bar_index % period == 0
if close > AVG.last() // If the current close is greater than the last stored value in AVG
AVG.push(low - vlt) // Add the low price minus volatility to the array
if close < AVG.last() // If the current close is lower than the last stored value in AVG
AVG.push(high + vlt) // Add the high price plus volatility to the array
Provides adjustable sensitivity modes ("Normal" and "Sensitive") for different market conditions.
Trend direction is visualized with dynamic color coding based on the relationship between the trend line and price.
● Volatility Bands
Displays upper and lower volatility bands derived from a moving average of price volatility (high-low).
The bands help identify potential breakout zones, overbought, or oversold conditions.
Users can toggle the visibility of the bands to suit their trading style.
● Mean Reversion Signals
Detects mean reversion opportunities when price deviates significantly from the trend line.
Includes both regular and strong mean reversion signals, marked directly on the chart.
Signals are based on oscillator crossovers, offering potential entry and exit points.
● Price Deviation Oscillator
Plots an oscillator that measures the deviation of price from the average trend line.
The oscillator is normalized using standard deviation, highlighting extreme price deviations.
Traders can choose to display the oscillator for in-depth analysis of price behavior relative to the trend.
● Dynamic Trend Coloring
The indicator colors the background on the direction of the trend.
Green indicates bullish trends, while blue indicates bearish trends.
The trend colors adapt dynamically to market conditions, providing clear visual cues for traders.
🔵 HOW TO USE
● Trend Analysis
The trend line represents the current market direction. A green trend line suggests a bullish trend, while a blue trend line indicates a bearish trend.
Use the trend line in conjunction with volatility bands to confirm potential breakouts or areas of consolidation.
● Volatility Bands
Volatility bands offer insight into potential overbought or oversold conditions.
Price exceeding these bands can signal a strong trend continuation or a possible reversal.
● Mean Reversion Strategies
Look for mean reversion signals (regular and strong) when price shows signs of reverting to the trend line after significant deviation.
Regular signals are represented by small dots, while strong signals are represented by larger circles.
These signals can be used as entry or exit points, depending on the market context.
● Price Deviation Analysis
The oscillator provides a detailed view of price deviations from the trend line.
A positive oscillator value indicates that the price is above the trend, while a negative value suggests it is below.
Use the oscillator to identify potential overbought or oversold conditions within the trend.
🔵 USER INPUTS
● Period
Defines the length of the period used for calculating the trend line. A higher period smooths out the trend, while a shorter period makes the trend line more sensitive to price changes.
● Mode
Choose between "Normal" and "Sensitive" modes for trend detection. The "Sensitive" mode responds more quickly to price changes, while the "Normal" mode offers smoother trend lines.
● Volatility Bands
Toggle the display of upper and lower volatility bands. These bands help identify potential areas of price exhaustion or continuation.
● Price Deviation
Toggle the display of the price deviation oscillator. This oscillator shows the deviation of the current price from the trend line and highlights extreme conditions.
● Mean Reversion Signals
Toggle the display of mean reversion signals. These signals highlight potential reversal points when the price deviates significantly from the trend.
● Strong Mean Reversion Signals
Toggle the display of stronger mean reversion signals, which occur at more extreme deviations from the trend.
● Width
Adjust the thickness of the trend line for better visibility on the chart.
🔵 CONCLUSION
The Periodical Trend indicator combines trend analysis, volatility bands, and mean reversion signals to provide traders with a comprehensive tool for market analysis. By offering customizable display options and dynamic trend coloring, this indicator can adapt to different trading styles and market conditions. Whether you are a trend follower or a mean reversion trader, the Periodical Trend indicator helps identify key market opportunities and potential reversals.
For optimal results, it is recommended to use this indicator alongside other technical analysis tools and within the context of a well-structured trading strategy.
MTF Bollinger BandWidth [CryptoSea]The MTF Bollinger BandWidth Indicator is an advanced analytical tool crafted for traders who need to gauge market volatility and trend strength across multiple timeframes. This powerful indicator leverages the Bollinger BandWidth concept to provide a comprehensive view of price movements and volatility changes, making it ideal for those looking to enhance their trading strategies with multi-timeframe analysis.
Key Features
Multi-Timeframe Analysis: Allows users to monitor Bollinger BandWidth across various timeframes, providing a macro and micro perspective on market volatility.
Pivot Point Detection: Identifies crucial high and low pivot points, offering insights into potential support and resistance levels. Pivot points are dynamic and adjust based on the timeframe viewed, reflecting short-term fluctuations or longer-term trends.
Customizable Parameters: Includes options to adjust the length of the moving average, the standard deviation multiplier, and more, enabling traders to tailor the tool to their specific needs.
Dynamic Color Coding: Utilizes color changes to indicate different market conditions, aiding in quick visual assessments.
In the example below, notice how changes in BBW across different timeframes provide early signals for potential volatility increases or decreases.
How it Works
Calculation of BandWidth: Measures the percentage difference between the upper and lower Bollinger Bands, which expands or contracts based on market volatility.
High and Low Pivot Tracking: Automatically calculates and tracks the pivots in BBW values, which are critical for identifying turning points in market behavior. High and low levels will change depending on the timeframe, capturing distinct market behaviors from granular movements to broad trends.
Visual Alerts and Table Display: Highlights significant changes in BBW with visual alerts and provides a detailed table view for comparison across timeframes.
In the example below, BBW identifies a significant contraction followed by an expansion, suggesting a potential breakout.
Application
Strategic Market Entry and Exit: Assists traders in making well-informed decisions about when to enter and exit trades based on volatility cues.
Trend Strength Assessment: Helps in determining the strength of the prevailing market trend through detailed analysis of expansion and contraction periods.
Adaptable to Various Trading Styles: Suitable for day traders, swing traders, and long-term investors due to its customization capabilities and effectiveness across different timeframes.
The MTF Bollinger BandWidth Indicator is a must-have in the arsenal of traders who demand depth, accuracy, and responsiveness in their market analysis tools. Enhance your trading decisions by integrating this sophisticated indicator into your strategy to navigate the complexities of various market conditions effectively.
