Volume Based Analysis V 1.00
Volume Based Analysis V1.00 – Multi-Scenario Buyer/Seller Power & Volume Pressure Indicator
Description:
1. Overview
The Volume Based Analysis V1.00 indicator is a comprehensive tool for analyzing market dynamics using Buyer Power, Seller Power, and Volume Pressure scenarios. It detects 12 configurable scenarios combining volume-based calculations with price action to highlight potential bullish or bearish conditions.
When used in conjunction with other technical tools such as Ichimoku, Bollinger Bands, and trendline analysis, traders can gain a deeper and more reliable understanding of the market context surrounding each signal.
2. Key Features
12 Configurable Scenarios covering Buyer/Seller Power convergence, divergence, and dominance
Advanced Volume Pressure Analysis detecting when both buy/sell volumes exceed averages
Global Lookback System ensuring consistency across all calculations
Dominance Peak Module for identifying strongest buyer/seller dominance at structural pivots
Real-time Signal Statistics Table showing bullish/bearish counts and volume metrics
Fully customizable inputs (SMA lengths, multipliers, timeframes)
Visual chart markers (S01 to S12) for clear on-chart identification
3. Usage Guide
Enable/Disable Scenarios: Choose which signals to display based on your trading strategy
Fine-tune Parameters: Adjust SMA lengths, multipliers, and lookback periods to fit your market and timeframe
Timeframe Control: Use custom lower timeframes for refined up/down volume calculations
Combine with Other Indicators:
Ichimoku: Confirm volume-based bullish signals with cloud breakouts or trend confirmation
Bollinger Bands: Validate divergence/convergence signals with overbought/oversold zones
Trendlines: Spot high-probability signals at breakout or retest points
Signal Tables & Peaks: Read buy/sell volume dominance at a glance, and activate the Dominance Peak Module to highlight key turning points.
4. Example Scenarios & Suggested Images
Image #1 – S01 Bullish Convergence Above Zero
S01 activated, Buyer Power > 0, both buyer power slope & price slope positive, above-average buy volume. Show S01 ↑ marker below bar.
Image #2 – Combined with Ichimoku
Display a bullish scenario where price breaks above Ichimoku cloud while S01 or S09 bullish signal is active. Highlight both the volume-based marker and Ichimoku cloud breakout.
Image #3 – Combined with Bollinger Bands & Trendlines
Show a bearish S10 signal at the upper Bollinger Band near a descending trendline resistance. Highlight the confluence of the volume pressure signal with the band touch and trendline rejection.
Image #4 – Dominance Peak Module
Pivot low with green ▲ Bull Peak and pivot high with red ▼ Bear Peak, showing strong dominance counts.
Image #5 – Statistics Table in Action
Bottom-left table showing buy/sell volume, averages, and bullish/bearish counts during an active market phase.
5. Feedback & Collaboration
Your feedback and suggestions are welcome — they help improve and refine this system. If you discover interesting use cases or have ideas for new features, please share them in the script’s comments section on TradingView.
6. Disclaimer
This script is for educational purposes only. It is not financial advice. Past performance does not guarantee future results. Always do your own analysis before making trading decisions.
Tip: Use this tool alongside trend confirmation indicators for the most robust signal interpretation.
Trendlineanalysis
ALNADAMomentum indicator try to discover market turning points early, using trend, divergence, and momentum.
THF Crossover and Trend Signals Golden & Death Cross with VolumeScript Overview:
This Pine Script is designed to assist traders in identifying key buy/sell signals and major trend changes on the chart using Exponential Moving Averages (EMA) and Simple Moving Averages (SMA), as well as visualizing Golden Cross and Death Cross events. The script also includes a volume indicator to highlight the volume trading activity in relation to the price movements.
Key Features:
1. Moving Averages:
EMA 21: Exponential Moving Average over a 21-period, shown in green.
EMA 50: Exponential Moving Average over a 50-period, shown in yellow.
SMA 50: Simple Moving Average over a 50-period, shown in red.
SMA 200: Simple Moving Average over a 200-period, shown in blue.
2. Signals:
Buy Signal: Generated when EMA 21 crosses above SMA 50, indicating a potential upward trend. Displayed with a green label below the price bar.
Sell Signal: Generated when EMA 21 crosses below SMA 50, indicating a potential downward trend. Displayed with a red label above the price bar.
3. Golden Cross (Bullish Trend):
A Golden Cross occurs when EMA 50 crosses above SMA 200, which often signals the start of a long-term upward trend. The signal is displayed with a yellow label below the price bar.
4. Death Cross (Bearish Trend):
A Death Cross occurs when EMA 50 crosses below SMA 200, which often signals the start of a long-term downward trend. The signal is displayed with a blue label above the price bar.
5. Volume Indicator:
The volume is plotted as colored columns. Green indicates higher volume than the 20-period moving average, and red indicates lower volume.
A Volume Moving Average (SMA 20) is also plotted to compare volume changes over time.
How the Script Works:
1. The EMA and SMA lines are plotted on the chart, providing a visual representation of the short- and long-term trends.
2. Buy/Sell signals are triggered based on the crossover between EMA 21 and SMA 50, helping to identify potential entry and exit points.
3. The Golden Cross and Death Cross indicators highlight major trend reversals based on the crossover between EMA 50 and SMA 200, providing clear visual cues for long-term trend changes.
4. Volume is displayed alongside price movements, offering insight into the strength or weakness of a trend.
Key Customizations:
Moving Average Periods: Users can modify the lengths of the EMAs and SMAs for customized analysis.
Volume Moving Average Period: The script allows for adjustment of the volume moving average period to suit different market conditions.
Signal Visibility: The size and color of the buy, sell, Golden Cross, and Death Cross signals can be easily customized to make them more prominent on the chart.
Conclusion:
This script is ideal for traders looking to combine price action with volume analysis, using key technical indicators such as EMA, SMA, Golden Cross, and Death Cross to make informed decisions in trending markets.
---
This explanation covers all aspects of the script and provides a clear understanding of its functionality, which is helpful for sharing the script or using it as an educational resource.
EMA Trend Dashboard
Trend Indicator using 3 custom EMA lines. Displays a table with 5 rows(position configurable)
-First line shows relative position of EMA lines to each other and outputs Bull, Weak Bull, Flat, Weak Bear, or Bear. EMA line1 should be less than EMA line2 and EMA line 2 should be less than EMA line3. Default is 9,21,50.
-Second through fourth line shows the slant of each EMA line. Up, Down, or Flat. Threshold for what is considered a slant is configurable. Also added a "steep" threshold configuration for steep slants.
-Fifth line shows exhaustion and is a simple, configurable calculation of the distance between EMA line1 and EMA line2.
--Lines one and five change depending on its value but ALL other colors are able to be changed.
--Default is somewhat set to work well with Micro E-mini Futures but this indicator can be changed to work on anything. I created it to help get a quick overview of short-term trend on futures. I used ChatGPT to help but I am still not sure if it actually took longer because of it.
Pineify Signals and OverlaysIndicator Theoretical Basis
Pineify Signals and Overlays is an invite-only trend-following and reversal-detection toolkit that fuses four well-known concepts— Dow-Theory trend phases , a multi-pair EMA cloud, QQE momentum, and ATR-based risk management—into a single, weight-balanced engine. An optional multi-time-frame (MTF) filter aligns lower-time-frame signals with higher-time-frame structure, helping traders avoid counter-trend setups. All components can be toggled from the settings panel, and a beginner “One-Click” preset loads a conservative profile out of the box.
Why it’s a single script: The algorithm scores every bar on three orthogonal axes—trend, momentum, and volatility—then issues context-aware arrows and coloured clouds only when the axes agree within user-defined tolerances. This inter-locking logic cannot be reproduced by simply stacking independent indicators on a chart, hence the need for an integrated implementation.
Trend Confirmation
Trend Confirmation: This indicator presents two types of market trends: the primary trend and the secondary trend. The primary trend is the long - term direction of the market and can last for days or months; the secondary trend is the adjustment phase within the primary trend.
This indicator uses the EMA (Exponential Moving Average) and visualizes the trend phases through color filling. The judgment of the trend is that blue plus green indicates a bullish trend, and yellow plus red indicates a bearish trend.
The primary trend of this indicator is visualized by two sets of moving averages through color filling. These two sets of moving averages are used to describe the short - term and long - term trends in the market.
The short - period moving averages and the long - period moving averages each consist of 4 moving averages, with a total of 8 moving averages, representing the short - term fluctuations and trends of the market.
Trend Persistence: Once the primary trend is formed, it will persist for a period of time. This indicator judges based on the Dow Theory. Short - term market fluctuations do not necessarily reflect changes in the primary trend. Therefore, the judgment direction of the primary trend is visualized through color.
The Signals of Buying, Selling and Closing
In the primary trend, we can see signals of trend reversal. This indicator incorporates the "Consecutive Candles". The indicator mainly identifies the overbought or oversold state of the market through a series of consecutive conditions, so as to predict the reversal point. The core of this indicator is to identify a series of consecutive price movements in the market trend and determine whether the market is about to reverse based on this sequence. We visualize the turning points through buy and sell signals.
The trend confirmation system utilizes four pairs of Exponential Moving Averages (EMAs) creating dynamic cloud formations that visualize market direction. Short-period EMAs (5, 8, 20, 34) interact with longer-period EMAs (9, 13, 21, 50) to generate color-coded trend clouds . Blue and green clouds indicate bullish conditions, while yellow and red clouds signal bearish trends, providing immediate visual trend identification.
The presentation of buying and selling points, namely "Quantitative Qualitative Estimation", is a technical indicator that combines the concepts of the Relative Strength Index (RSI) and moving averages. It is used to evaluate market trends, overbought and oversold conditions, as well as potential trend reversal points. The oscillator has a relatively long smoothing period, making the indicator relatively stable, thus enabling the visualization of buy + and sell + signals for trading.
ATR Stop - Loss Line
ATR (Average True Range) is an indicator for measuring market volatility. By using the ATR value to set the stop - loss distance, the stop - loss level can be automatically adjusted according to market volatility, making the stop - loss more flexible.
Core principle
Trend-Cloud Engine
EMA Pairs (5, 8, 20, 34 vs 9, 13, 21, 50)—Two four-EMA sets form “fast” and “slow” envelopes. When the volume-weighted mean of the fast set sits above the slow set and both slopes are positive, the bar is tagged primary bullish; the inverse tags primary bearish. Cloud colours (blue/green vs yellow/red) mirror Dow Theory’s primary/secondary trend hierarchy.
Momentum & Exhaustion Layer
QQE Oscillator (RSI 14, factor 4.238) detects momentum extremes and smooths noise more than a raw RSI, making it better suited for multi-time-frame use.
Consecutive-Candle Counter (default 8) highlights potential exhaustion after extended unidirectional moves; reversal symbols appear only if QQE divergence also exists.
Volatility-Adjusted Risk Line
ATR Trailing Stop (ATR 21, dynamic multiplier) expands in high volatility and tightens in low volatility, offering an adaptive exit reference rather than a fixed-tick stop.
Multi-Time-Frame Confirmation
The script automatically chooses a higher aggregation (e.g., 4 × the chart timeframe) and requires primary-trend agreement before issuing “Long ▲+” or “Short ▼+” confirmations. This guards against false signals during counter-trend rebounds.
Recommended parameters
RSI Length: 14 (QQE calculation base)
QQE Factor: 4.238 (Fibonacci-based multiplier)
ATR Period: 21 (volatility measurement)
EMA Lengths: Configurable short (5,8,20,34) and long (9,13,21,50) periods
Consecutive Candles: Selectable count (8)
Multi-timeframe Filter: Filter is enabled by default, resulting in more accurate signals.
Filters
The multi-timeframe filter enhances signal reliability by confirming trends across higher timeframes. This prevents counter-trend trades by ensuring alignment between current chart timeframe and broader market direction. The filter automatically calculates appropriate higher timeframes for trend confirmation.
Signals & Alerts
The indicator system exports multiple alert signals, and you can easily alert for any signal.
Up Trend : Primary long signal appears
Long - ▲ : Buy signal appears
Long - ▲+ : Confirmation buy signal appears
Long - ● : Primary reversal signal appears
Long - ☓ : Secondary reversal signal appears
Down Trend : Primary short signal appears
Short - ▼ : Sell signal appears
Short - ▼+ : Confirmation sell signal appears
Short - ● : Primary reversal signal appears
Short - ☓ : Secondary reversal signal appears
Originality & Value for Traders
Integrated scoring logic ensures signals fire only when trend, momentum, and volatility metrics corroborate, reducing “indicator conflict”.
Auto-computed MTF pairs mean no manual timeframe juggling.
Weight-balanced QQE/EMA blend creates smoother trend clouds than standard MA crosses, yet remains more responsive than Keltner or Donchian approaches.
One-click beginner profile plus full parameter access supports both novice and advanced users.
Risk Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Pineify) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Deviation Trend Profile [BigBeluga]🔵 OVERVIEW
A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
This is an experimental indicator designed for educational and learning purposes only.
🔵 CONCEPTS
Trend Detection via SMA Slope: Detects trend shifts when the slope of the SMA exceeds a ±0.1 threshold.
Standard Deviation Zones: Calculates ±1, ±2, and ±3 levels from the SMA using ATR, forming dynamic envelopes around the mean.
Trend Distribution Profile: Builds a histogram that shows how often price closed within each deviation zone during the active trend phase.
🔵 FEATURES
Trend Signals: Immediate shift markers using colored circles at trend reversals.
SMA Gradient Coloring: The SMA line dynamically changes color based on its directional slope.
Trend Duration Label: A label above the histogram shows how many bars the current trend has lasted.
Trend Distribution Histogram: Visual bin-based profile showing frequency of price closes within deviation bands during trend lookback period.
Adjustable Bin Count: Set the granularity of the distribution using the “Bins Amount” input.
Deviation Labels and Zones: Clearly marked ±1, ±2, ±3 lines with consistent color scheme.
Trend Strength Insight:
• Wide profile skewed to ±2/3 = strong directional trend.
• Profile clustered near SMA = potential trend exhaustion or range.
🔵 HOW TO USE
Use trend shift dots as entry signals:
• 🔵 = Bullish start
• 🔴 = Bearish start
Trade with the trend when price clusters in outer zones (±2 or ±3).
Be cautious or fade the trend when price distribution contracts toward the SMA.
View across multiple timeframes for trend confluence or divergence.
🔵 CONCLUSION
Deviation Trend Profile visualizes how price distributes during trends relative to statistical deviation zones.
It’s a powerful confluence tool for identifying strength, exhaustion, and the rhythm of price behavior—ideal for swing traders and volatility analysts alike.
StochFusion – Multi D-LineStochFusion – Multi D-Line
An advanced fusion of four Stochastic %D lines into one powerful oscillator.
What it does:
Combines four user-weighted Stochastic %D lines—from fastest (9,3) to slowest (60,10)—into a single “Fusion” line that captures both short-term and long-term momentum in one view.
How to use:
Adjust the four weights (0–10) to emphasize the speed of each %D component.
Watch the Fusion line crossing key zones:
– Above 80 → overbought condition, potential short entry.
– Below 20 → oversold condition, potential long entry.
– Around 50 → neutral/midline, watch for trend shifts.
Applications:
Entry/exit filter: Only take trades when the Fusion line confirms zone exits.
Trend confirmation: Analyze slope and cross of the midline for momentum strength.
Multi-timeframe alignment: Use on different chart resolutions to find confluence.
Tips & Tricks:
Default weights give more influence to slower %D—good for trend-focused strategies.
Equal weights provide a balanced oscillator that mimics an ensemble average.
Experiment: Increase the fastest weight to capture early reversal signals.
Developed by: TradeQUO — inspired by DayTraderRadio John
“The best momentum indicator is the one you adapt to your own trading rhythm.”
Trendline Breakouts With Volume Strength [TradeDots]Trendline Breakouts With Volume Strength is an innovative indicator designed to identify potential market turning points using pivot-based trendline detection and volume confirmation. By merging dynamic trendline analysis with multi-tiered volume filters, this tool helps traders quickly spot breakouts or breakdowns that may signal significant shifts in price action.
📝 HOW IT WORKS
1. Pivot-Based Trendline Detection
The script automatically scans for recent pivot highs and lows over a user-defined lookback period.
When it finds higher pivot lows, it plots green uptrend lines; when it finds lower pivot highs, it plots red downtrend lines.
These dynamic lines update as new pivots form, providing continuously refreshed trend guidance.
2. Volume Ratio Analysis
A moving average of volume is compared against the current bar’s volume to calculate a ratio (e.g., 1.5×, 2×).
Higher ratios suggest above-average volume, often interpreted as stronger participation.
The script applies color-coded cues to highlight the intensity of volume surges.
3. Breakout & Breakdown Detection
Each trendline is monitored for a defined “break threshold,” which helps avoid minor penetrations that can trigger premature signals.
When price closes beyond a threshold below an uptrend line, the indicator labels it a “BREAKDOWN.” If it closes above a threshold on a downtrend line, it labels it a “BREAKOUT.”
Volume surges accompanying these breaks are highlighted with contextual emojis and distinct color gradients for quick visual reference.
4. Trend Direction Table
A small on-chart table provides a snapshot of the current market trend—Uptrend, Downtrend, or Sideways—based on a simple moving average slope and the number of active uptrend or downtrend lines.
This table also displays quick stats on how many lines are actively tracked, helping traders assess the broader market posture at a glance.
🛠️ HOW TO USE
1. Choose a Timeframe
This script works on multiple timeframes. Intraday traders can monitor minute or hourly charts for frequent pivot updates, while swing and position traders may prefer daily or weekly intervals to reduce noise.
2. Observe Trendlines & Labels
Watch for newly drawn green/red lines connecting pivots.
When you see a “BREAKOUT” or “BREAKDOWN” label, confirm whether volume was abnormally high based on the ratio or color-coded bars.
3. Consult the Trend Table
Use the table in the bottom-right corner to quickly check if the market is trending or range-bound.
Look at the count of active uptrend vs. downtrend lines to gauge broader sentiment.
4. Employ Additional Analysis
Combine these signals with other tools (e.g., candlestick patterns, oscillators, or fundamental analysis).
Validate potential breakouts using standard techniques like retests or support/resistance checks.
❗️LIMITATIONS
Delayed Pivots: Trendlines only adjust once new pivot highs or lows form, which can introduce a slight lag in highly volatile environments.
Choppy Markets: Rapid, back-and-forth price moves may produce conflicting trendline signals and frequent breakouts/breakdowns.
Volume Data Reliability: Gaps in volume data or unusual market conditions (holidays, low-liquidity sessions) can skew ratio readings.
RISK DISCLAIMER
Trading any financial instrument involves substantial risk, and this indicator does not guarantee profits or prevent losses. All signals and visual cues are for educational and informational purposes only; past performance does not assure future outcomes. You retain full responsibility for your trading decisions, including proper risk management, position sizing, and the use of additional confirmation methods. Always consider the possibility of losing some or all of your original investment.
Curved Trend Channels (Zeiierman)█ Overview
Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic.
This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development.
█ How It Works
⚪ Adaptive Range Filter Foundation
The core of the system is a volatility-based range filter that determines the underlying structure of the bands:
Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range.
Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price.
Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity.
⚪ Curved Channel Logic
In Curved Mode, the trend channel grows over time when the trend direction remains unchanged:
Base Step Size (× ATR) – Sets the minimum unit of slope change.
Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time.
Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations.
This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence.
⚪ Trend Slope
As an alternative to curved logic, traders can activate a regular Trend slope using:
Slope Length – Determines how quickly the trend line adapts to price shifts.
Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes.
⚪ Candle Trend Confirmation
A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action:
Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement.
█ How to Use
⚪ Trend Identification
When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently.
⚪ Retest
During ongoing trends, the price will often pull back into the dynamic channel. Look for:
Support/resistance interactions at the upper or lower bands.
█ Settings
Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands.
Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style.
Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive.
High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots.
Band Multiplier – Widens or tightens the band range based on personal preference.
Enable Curved Channel – Toggle between curved or regular trend slope behavior.
Base Step (× ATR) – The starting point for curved slope progression.
Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend.
Slope – Reactivity of the standard trend line to price movements.
Multiplicative Factor – Sensitivity adjustment for HyperTrend slope.
Candle Trend Length – Lookback period for trend determination from candle structure.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Breakout of inclined trendline [Drobode]█ DESCRIPTION
The script is designed to automatically detect a possible trendline breakout under the conditions of the popular "Slanted Trendline Breakout" strategy. The algorithm assumes that during the movement the price approaches the slanted (trend) line several times. With each subsequent approach (touch) to the trend line, the price consolidates more and more near this line, the distances between the extremes (touches) decrease, which indicates a high probability of a breakout of this line. The script checks the number of touches (approaches) of the extremes and the distances between the extremes. If all conditions are met, the script draws a slanted (trend) line in the corresponding area and an arrow with a possible price breakout direction. The length of the arrow is half the height of the slanted (trend) line and may indicate the level (price) at which it is advisable to fix the profit. In the script, you can enable or disable additional analysis periods (history length, number of bars), the more periods are enabled, the slower the script may load. For example, when placing the script on M-15, we can additionally enable the period 300 or 500, which will allow us to take into account a larger number of historical bars, and this can be considered as the extremes of the older timeframe. The script calculates each period separately, so one large period will not be able to take into account and analyze smaller periods. You can set the percentage deviation of the distance of the extremes from the trend line that touch the inclined line, depending on your needs and style of technical analysis. The smaller the percentage, the more accurate and closer to the inclined line the price extreme should be and vice versa. The main goal of the script is to facilitate the trader's routine work of identifying a possible trend line breakout. However, it should be understood that the script is not a full-fledged self-sufficient strategy, in case of receiving a signal, it is recommended to additionally conduct a comprehensive thorough analysis before taking trading actions. The script can be useful for traders of all levels, both beginners and experienced analysts. Like any other strategy or script, this script can work better on some instruments than on others. When analyzing trading setups, it is desirable to have a clear trend, it is recommended to take into account the signal of this script with a small period when the arrow shows the direction of the trend. However, at the same time, it is necessary to deeply analyze many other factors at this stage, in particular, such as volumes, consolidation, volatility, candlestick patterns, etc.
█ SCRIPT SETTINGS
By default, the script was developed and tested on medium timeframes with cryptocurrency futures instruments USDT.P
Alert
The Alert function in the script is enabled by default, you just need to activate Alert in the TradingView window and select the signal source - Breakout of inclined trendline .
The notification provides the following information (example):
Possible breakout to the upside
Ticker- DOGEUSDT.P
Price- 0.15844
Timeframe- 30
Period length- 377
Periods length
The script allows you to set the length of the period (number of bars) for which the calculation will be performed. Different periods allow you to cover more timeframes (in particular, larger timeframes). You can change up to 4 periods at a time. However, if you choose too large periods, the script may slow down and the loading time will increase. To increase the loading speed of the script, disable additional periods 3, 4, i.e. uncheck the corresponding checkboxes and use only fields 1 and 2 for periods, where you can also set the period length you need.
Percentage deviation of extremes from the trend line
The next settings are the percentage deviation of the extremes from the sloping line. The smaller the deviation, the more accurate and closer to the line the extreme bars should be, however, in this case the number of identification signals will be smaller. By default, the rejection zone is - 0.15%. On larger timeframes, the deviation can be set to be larger.
Commodity Trend Reactor [BigBeluga]
🔵 OVERVIEW
A dynamic trend-following oscillator built around the classic CCI, enhanced with intelligent price tracking and reversal signals.
Commodity Trend Reactor extends the traditional Commodity Channel Index (CCI) by integrating trend-trailing logic and reactive reversal markers. It visualizes trend direction using a trailing stop system and highlights potential exhaustion zones when CCI exceeds extreme thresholds. This dual-level system makes it ideal for both trend confirmation and mean-reversion alerts.
🔵 CONCEPTS
Based on the CCI (Commodity Channel Index) oscillator, which measures deviation from the average price.
Trend bias is determined by whether CCI is above or below user-defined thresholds.
Trailing price bands are used to lock in trend direction visually on the main chart.
Extreme values beyond ±200 are treated as potential reversal zones.
🔵 FEATURES\
CCI-Based Trend Shifts:
Triggers a bullish bias when CCI crosses above the upper threshold, and bearish when it crosses below the lower threshold.
Adaptive Trailing Stops:
In bullish mode, a trailing stop tracks the lowest price; in bearish mode, it tracks the highest.
Top & Bottom Markers:
When CCI surpasses +200 or drops below -200, it plots colored squares both on the oscillator and on price, marking potential reversal zones.
Background Highlights:
Each time a trend shift occurs, the background is softly colored (lime for bullish, orange for bearish) to highlight the change.
🔵 HOW TO USE
Use the oscillator to monitor when CCI crosses above or below threshold values to detect trend activation.
Enter trades in the direction of the trailing band once the trend bias is confirmed.
Watch for +200 and -200 square markers as warnings of potential mean reversals.
Use trailing stop areas as dynamic support/resistance to manage stop loss and exit strategies.
The background color changes offer clean confirmation of trend transitions on chart.
🔵 CONCLUSION
Commodity Trend Reactor transforms the simple CCI into a complete trend-reactive framework. With real-time trailing logic and clear reversal alerts, it serves both momentum traders and contrarian scalpers alike. Whether you’re trading breakouts or anticipating mean reversions, this indicator provides clarity and structure to your decision-making.
Candle #40 Sentinel – A Simple Visual Marker for Chart ContextWhat it is:
Candle #40 Sentinel is a minimalistic visual aid that marks the candle from exactly 40 bars ago on your chart. It creates a clear reference point to help you assess whether your trendline is based on enough price history to be considered reliable.
What it does:
Draws a frame marker on the candle 40 bars before the current one.
Gives you an instant sense of how much historical data your trendline or setup is working with.
Helps prevent decisions based on short-term patterns with little statistical weight.
Why use it:
Context is key: Many trendlines look strong but are based on too few candles to be meaningful. This tool helps you visually gauge that.
Stay disciplined: Only act on setups with enough data behind them.
Save time: No need to count candles manually – the chart tells you instantly.
Who it's for:
Traders who use trendlines and want a quick way to assess data depth.
Anyone looking to bring more structure and discipline to visual chart analysis.
Note:
This tool does not generate signals, does not calculate trends, and uses no classic indicators. It simply draws a reference at the 40th candle back – giving you a visual anchor point to work with.
Candle #40 Sentinel – Let your setups breathe before you trust them.
Because trendlines drawn over 10 candles aren’t trendlines – they’re guesses.
Auto AI Trendlines [TradingFinder] Clustering & Filtering Trends🔵 Introduction
Auto AI trendlines Clustering & Filtering Trends Indicator, draws a variety of trendlines. This auto plotting trendline indicator plots precise trendlines and regression lines, capturing trend dynamics.
Trendline trading is the strongest strategy in the financial market.
Regression lines, unlike trendlines, use statistical fitting to smooth price data, revealing trend slopes. Trendlines connect confirmed pivots, ensuring structural accuracy. Regression lines adapt dynamically.
The indicator’s ascending trendlines mark bullish pivots, while descending ones signal bearish trends. Regression lines extend in steps, reflecting momentum shifts. As the trend is your friend, this tool aligns traders with market flow.
Pivot-based trendlines remain fixed once confirmed, offering reliable support and resistance zones. Regression lines, adjusting to price changes, highlight short-term trend paths. Both are vital for traders across asset classes.
🔵 How to Use
There are four line types that are seen in the image below; Precise uptrend (green) and downtrend (red) lines connect exact price extremes, while Pivot-based uptrend and downtrend lines use significant swing points, both remaining static once formed.
🟣 Precise Trendlines
Trendlines only form after pivot points are confirmed, ensuring reliability. This reduces false signals in choppy markets. Regression lines complement with real-time updates.
The indicator always draws two precise trendlines on confirmed pivot points, one ascending and one descending. These are colored distinctly to mark bullish and bearish trends. They remain fixed, serving as structural anchors.
🟣 Dynamic Regression Lines
Regression lines, adjusting dynamically with price, reflect the latest trend slope for real-time analysis. Use these to identify trend direction and potential reversals.
Regression lines, updated dynamically, reflect real-time price trends and extend in steps. Ascending lines are green, descending ones orange, with shades differing from trendlines. This aids visual distinction.
🟣 Bearish Chart
A Bullish State emerges when uptrend lines outweigh or match downtrend lines, with recent upward momentum signaling a potential rise. Check the trend count in the state table to confirm, using it to plan long positions.
🟣 Bullish Chart
A Bearish State is indicated when downtrend lines dominate or equal uptrend lines, with recent downward moves suggesting a potential drop. Review the state table’s trend count to verify, guiding short position entries. The indicator reflects this shift for strategic planning.
🟣 Alarm
Set alerts for state changes to stay informed of Bullish or Bearish shifts without constant monitoring. For example, a transition to Bullish State may signal a buying opportunity. Toggle alerts On or Off in the settings.
🟣 Market Status
A table summarizes the chart’s status, showing counts of ascending and descending lines. This real-time overview simplifies trend monitoring. Check it to assess market bias instantly.
Monitor the table to track line counts and trend dominance.
A higher count of ascending lines suggests bullish bias. This helps traders align with the prevailing trend.
🔵 Settings
Number of Trendlines : Sets total lines (max 10, min 3), balancing chart clarity and trend coverage.
Max Look Back : Defines historical bars (min 50) for pivot detection, ensuring robust trendlines.
Pivot Range : Sets pivot sensitivity (min 2), adjusting trendline precision to market volatility.
Show Table Checkbox : Toggles display of a table showing ascending/descending line counts.
Alarm : Enable or Disable the alert.
🔵 Conclusion
The multi slopes indicator, blending pivot-based trendlines and dynamic regression lines, maps market trends with precision. Its dual approach captures both structural and short-term momentum.
Customizable settings, like trendline count and pivot range, adapt to diverse trading styles. The real-time table simplifies trend monitoring, enhancing efficiency. It suits forex, stocks, and crypto markets.
While trendlines anchor long-term trends, regression lines track intraday shifts, offering versatility. Contextual analysis, like price action, boosts signal reliability. This indicator empowers data-driven trading decisions.
RSI with Divergences and Trendlines by zenDisplays the standard Relative Strength Index (RSI). The RSI period, line color, and thickness are customizable by the user (defaulting to a 14-period, thin black line).
Includes traditional horizontal lines at the 70 (overbought) and 30 (oversold) levels. The background area between these levels is filled with a customizable color (defaulting to a transparent black).
The indicator intelligently analyzes the RSI's own movements to identify significant recent turning points (peaks and troughs).
It then automatically draws short trendline segments directly on the RSI chart. These lines connect recent, consecutive RSI turning points, dynamically highlighting the indicator's internal structure and immediate directional momentum.
Users can configure the sensitivity used to detect these RSI turning points via 'Pivot Lookback' settings. You can also customize the maximum number of recent trendlines displayed for upward and downward RSI movements (default is 5 each), as well as their colors and width.
These on-RSI trendlines do not extend into the future.
ConeCastConeCast is a forward-looking projection indicator that visualizes a future price range (or "cone") based on recent trend momentum and adaptive volatility. Unlike lagging bands or reactive channels, this tool plots a predictive zone 3–50 bars ahead, allowing traders to anticipate potential price behavior rather than merely react to it.
How It Works
The core of ConeCast is a dynamic trend-slope engine derived from a Linear Regression line fitted over a user-defined lookback window. The slope of this trend is projected forward, and the cone’s width adapts based on real-time market volatility. In calm markets, the cone is narrow and focused. In volatile regimes, it expands proportionally, using an ATR-based % of price to scale.
Key Features
📈 Predictive Cone Zone: Visualizes a forward range using trend slope × volatility width.
🔄 Auto-Adaptive Volatility Scaling: Expands or contracts based on market quiet/chaotic states.
📊 Regime Detection: Identifies Bull, Bear, or Neutral states using a tunable slope threshold.
🧭 Multi-Timeframe Compatible: Slope and volatility can be calculated from higher timeframes.
🔔 Smart Alerts: Detects price entering the cone, and signals trend regime changes in real time.
🖼️ Clean Visual Output: Optionally includes outer cones, trend-trail marker, and dashboard label.
How to Use It
Use on 15m–4H charts for best forward visibility.
Look for price entering the cone as a potential trend continuation setup.
Monitor regime changes and volatility expansion to filter choppy market zones.
Tune the slope sensitivity and ATR multiplier to match your symbol's behavior.
Use outer cones to anticipate aggressive swings and wick traps.
What Makes It Unique
ConeCast doesn’t follow price — it predicts a possible future price envelope using trend + volatility math, without relying on lagging indicators or repainting logic. It's a hybrid of regression-based forecasting and dynamic risk zoning, designed for swing traders, scalpers, and algo developers alike.
Limitations
ConeCast projects based on current trend and volatility — it does not "know" future price. Like all projection tools, accuracy depends on trend persistence and market conditions. Use this in combination with confirmation signals and risk management.
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy.
Key Features
Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime.
Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations.
3-State Entropy: Assesses market uncertainty across up, down, and neutral states.
Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC.
Multi-Timeframe Alignment: Syncs with higher timeframe trends for context.
Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling.
How to Use and Interpret
Histogram Interpretation
Positive (Above Zero): Bullish momentum; color intensity shows trend strength.
Negative (Below Zero): Bearish momentum; gradients indicate weakness.
Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points.
Regime Visualization
Green Background: Trending market; prioritize momentum signals.
Red Background: Mean-reverting market; focus on reversion signals.
Blue Background: Neutral state; balance both signal types.
Trading Signals
Buy: Histogram crosses above zero or shows positive divergence between histograms.
Sell: Histogram crosses below zero or exhibits negative divergence.
Confirmation: Match signals with regime background—green for trends, red for ranges.
Customization
Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity.
Adjust color themes and transparency to suit your charts.
Tips for Optimal Use
Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries.
Pairing: Combine with RSI, MACD, or volume indicators for confirmation.
Backtesting: Test settings on historical data for asset-specific optimization.
Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals.
Simulated Performance
Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries.
Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes.
Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise.
Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
Adaptive Support & Resistance Levels [StabTrading]The Adaptive S&R Levels indicator is designed to study support and resistance levels by synthesizing multiple well-known techniques for identifying these zones. It aims to provide traders with reliable price levels that reflect the collective perspective of market participants, using historical price action and projective techniques for extreme conditions.
💡 Introduction: Identified Problem
Traders often draw support and resistance lines using varied methods, leading to inconsistencies in where these levels are placed on charts. This variability can reduce the effectiveness of individual levels, as price may not react strongly to zones that lack broad recognition. The Adaptive S&R Levels indicator addresses this by aggressively averaging multiple established techniques to create support and resistance lines that align with what most traders are likely to identify, increasing the probability of price reactions.
🚀 How it Works: Overview
The indicator employs a multi-technique algorithm to generate support and resistance levels, ensuring they represent a consensus of trader perspectives.
🚀 How it Works: Chart Levels Display and Styling
Support levels, displayed in green below the current price, and resistance levels, shown in red above the price, are plotted clearly on the chart. Levels are numbered sequentially (e.g., v1, v2) as they move further from the current price, providing a visual hierarchy of proximity. Extreme levels, labeled as "Extreme Support" or "Extreme Resistance," are plotted in a bolder color to distinguish them as the outermost boundaries, maintaining the same green (support) and red (resistance) color scheme for consistency.
🚀 How it Works: Historical Price Action Algorithm
For areas with available historical data, the algorithm analyzes price action using a variety of recognized methods for drawing support and resistance, such as pivot points, swing highs/lows, and volume-based zones. It calculates a weighted average of these techniques to produce a “regression fit” line that reflects the accumulation of levels traders might draw. By prioritizing areas where multiple methods converge, the indicator identifies zones likely to be significant to a wide audience, enhancing their relevance.
🚀 How it Works: Projective Techniques Algorithm
In scenarios without recent historical price action—such as all-time highs or lows—the indicator employs an alternative algorithm that combines projective techniques commonly used by traders. These include Fibonacci extensions, Measured Moves (price projections), Psychological Milestones (e.g., round numbers), Channel/Trendline Extrapolation, and Time-Based Targets (inspired by methods like Gann techniques). The algorithm seeks a confluence of these methods to draw support and resistance levels that align with what most traders would consider significant in such conditions. These levels maintain the same green (support) and red (resistance) color scheme, with numbering based on their distance from the price.
🚀 How it Works: Noise Parameter Adjustment
Users can adjust a noise parameter to control the number of displayed levels. Lower settings show more lines, reflecting a broader range of potential zones but with less confluence. Higher settings increase the required confluence of techniques, resulting in fewer lines that have a higher probability of eliciting a price reaction. This customization allows traders to tailor the indicator to their preferred timeframe or trading style.
🔥 Features
Confluence-Based Levels: Support and resistance lines are derived from a weighted average of multiple techniques, aiming to mirror the levels most traders would recognize.
Extreme Levels: Generates support and resistance in areas without historical price action, using techniques like Fibonacci extensions and Measured Moves.
Color-Coded Display: Green support levels appear below the current price, and red resistance levels appear above, with extreme levels in a bolder shade for distinction.
Adjustable Noise Parameter: Users can modify the confluence threshold to display more lines (lower settings) or fewer, higher-probability lines (higher settings).
📈 Implementing the System
1. Adjust Settings
Set the noise parameter based on your trading style (0.1 to 10).
Use lower values for more frequent levels, suitable for scalping or short-term analysis.
Use higher values for fewer, higher-confluence levels, ideal for swing trading or longer-term strategies.
Adjust for your timeframe: Settings tend to be lower on shorter timeframes and higher on longer timeframes.
2. Identify Levels
Monitor green support levels below the price for potential buying zones, noting their numbered proximity (v1, v2, etc.).
Observe red resistance levels above the price for potential selling or shorting zones, noting their numbered proximity.
Note extreme levels (labeled "Extreme Support" or "Extreme Resistance") in areas like all-time highs, which may act as key reversal points.
3. Evaluate Price Reactions
Track how price interacts with the plotted levels to assess their effectiveness, considering their proximity to price.
Observe performance in bullish, bearish, or ranging markets to understand the indicator’s behavior at different levels.
Test different noise parameter settings across various assets and timeframes to find the optimal balance for your approach.
4. Layering Trades with Levels
Use the numbered levels to layer into a trade: for example, enter a partial position at a closer support level (e.g., v1) and add to it at a further level (e.g., v2) if price continues to decline, spreading risk across multiple zones.
Layer out of a trade by taking partial profits at each resistance level as price rises (e.g., reduce position at v1, then v2), or fully exit at an "Extreme Resistance" level to maximize gains while managing exposure.
🔶 Conclusion
The Adaptive S&R Levels indicator provides a framework for studying support and resistance by averaging multiple trader-recognized techniques. With its ability to handle both historical and extreme price scenarios, numbered levels for visual hierarchy, and customizable noise settings, it offers a versatile tool for analyzing key price levels. Designed for educational use, it encourages traders to test and observe how these consensus-driven levels align with market behavior within broader analysis.
Machine Learning RSI ║ BullVisionOverview:
Introducing the Machine Learning RSI with KNN Adaptation – a cutting-edge momentum indicator that blends the classic Relative Strength Index (RSI) with machine learning principles. By leveraging K-Nearest Neighbors (KNN), this indicator aims at identifying historical patterns that resemble current market behavior and uses this context to refine RSI readings with enhanced sensitivity and responsiveness.
Unlike traditional RSI models, which treat every market environment the same, this version adapts in real-time based on how similar past conditions evolved, offering an analytical edge without relying on predictive assumptions.
Key Features:
🔁 KNN-Based RSI Refinement
This indicator uses a machine learning algorithm (K-Nearest Neighbors) to compare current RSI and price action characteristics to similar historical conditions. The resulting RSI is weighted accordingly, producing a dynamically adjusted value that reflects historical context.
📈 Multi-Feature Similarity Analysis
Pattern similarity is calculated using up to five customizable features:
RSI level
RSI momentum
Volatility
Linear regression slope
Price momentum
Users can adjust how many features are used to tailor the behavior of the KNN logic.
🧠 Machine Learning Weight Control
The influence of the machine learning model on the final RSI output can be fine-tuned using a simple slider. This lets you blend traditional RSI and machine learning-enhanced RSI to suit your preferred level of adaptation.
🎛️ Adaptive Filtering
Additional smoothing options (Kalman Filter, ALMA, Double EMA) can be applied to the RSI, offering better visual clarity and helping to reduce noise in high-frequency environments.
🎨 Visual & Accessibility Settings
Custom color palettes, including support for color vision deficiencies, ensure that trend coloring remains readable for all users. A built-in neon mode adds high-contrast visuals to improve RSI visibility across dark or light themes.
How It Works:
Similarity Matching with KNN:
At each candle, the current RSI and optional market characteristics are compared to historical bars using a KNN search. The algorithm selects the closest matches and averages their RSI values, weighted by similarity. The more similar the pattern, the greater its influence.
Feature-Based Weighting:
Similarity is determined using normalized values of the selected features, which gives a more refined result than RSI alone. You can choose to use only 1 (RSI) or up to all 5 features for deeper analysis.
Filtering & Blending:
After the machine learning-enhanced RSI is calculated, it can be optionally smoothed using advanced filters to suppress short-term noise or sharp spikes. This makes it easier to evaluate RSI signals in different volatility regimes.
Parameters Explained:
📊 RSI Settings:
Set the base RSI length and select your preferred smoothing method from 10+ moving average types (e.g., EMA, ALMA, TEMA).
🧠 Machine Learning Controls:
Enable or disable the KNN engine
Select how many nearest neighbors to compare (K)
Choose the number of features used in similarity detection
Control how much the machine learning engine affects the RSI calculation
🔍 Filtering Options:
Enable one of several advanced smoothing techniques (Kalman Filter, ALMA, Double EMA) to adjust the indicator’s reactivity and stability.
📏 Threshold Levels:
Define static overbought/oversold boundaries or reference dynamically adjusted thresholds based on historical context identified by the KNN algorithm.
🎨 Visual Enhancements:
Select between trend-following or impulse coloring styles. Customize color palettes to accommodate different types of color blindness. Enable neon-style effects for visual clarity.
Use Cases:
Swing & Trend Traders
Can use the indicator to explore how current RSI readings compare to similar market phases, helping to assess trend strength or potential turning points.
Intraday Traders
Benefit from adjustable filters and fast-reacting smoothing to reduce noise in shorter timeframes while retaining contextual relevance.
Discretionary Analysts
Use the adaptive OB/OS thresholds and visual cues to supplement broader confluence zones or market structure analysis.
Customization Tips:
Higher Volatility Periods: Use more neighbors and enable filtering to reduce noise.
Lower Volatility Markets: Use fewer features and disable filtering for quicker RSI adaptation.
Deeper Contextual Analysis: Increase KNN lookback and raise the feature count to refine pattern recognition.
Accessibility Needs: Switch to Deuteranopia or Monochrome mode for clearer visuals in specific color vision conditions.
Final Thoughts:
The Machine Learning RSI combines familiar momentum logic with statistical context derived from historical similarity analysis. It does not attempt to predict price action but rather contextualizes RSI behavior with added nuance. This makes it a valuable tool for those looking to elevate traditional RSI workflows with adaptive, research-driven enhancements.
Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction
The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction.
Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points.
In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions.
Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels.
Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis.
🔵 How to Use
Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points.
🟣 Selecting Pivot Types Based on Trend Direction
The first step is to determine the market trend: uptrend, downtrend, or sideways.
Then, choose pivot points that match the trend type :
In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows.
In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs.
It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound.
🟣 Pivot Classification
This indicator automatically classifies pivot points into two categories :
Major Pivots :
MLL : Major Lower Low
MHL : Major Higher Low
MHH : Major Higher High
MLH : Major Lower High
These define the primary structure of the market and are typically used in broader structural analysis.
Minor Pivots :
mLL: minor Lower Low
mHL: minor Higher Low
mHH: minor Higher High
mLH: minor Lower High
These are used for drawing more precise trendlines within corrective waves or internal price movements.
Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline.
🟣 Drawing High-Precision Trendlines
To ensure a reliable trendline :
Use pivots of the same classification (Major with Major or Minor with Minor).
Ensure at least three valid contact points (three touches = structural confirmation).
Draw through candles with the least deviation (choose wicks or bodies based on confluence).
Preferably draw from right to left for better alignment with current market behavior.
Use parallel lines to turn a single trendline into a trendline zone, if needed.
🟣 Using Trendlines for Trade Entries
Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss.
Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout.
🟣 Trendline-Based Risk Management
For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend).
For breakout entries, the stop-loss is set behind the breakout candle or the last structural level.
A broken trendline can also act as an exit signal from a trade.
🟣 Combining Trendlines with Other Tools (Confluence)
Trendlines gain much more strength when used alongside other analytical tools :
Horizontal support and resistance levels
Moving averages (such as EMA 50 or EMA 200)
Fibonacci retracement zones
Candlestick patterns (e.g., Engulfing, Pin Bar)
RSI or MACD divergences
Market structure breaks (BoS / ChoCH)
🔵 Settings
Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines.
Alerts
Alert :
Enable or disable the entire alert system
Set a custom alert name
Choose how often alerts trigger (every time, once per bar, or on bar close)
Select the time zone for alert timestamps (e.g., UTC)
Each trendline type supports two alert types :
Break Alert : Triggered when price breaks the trendline
React Alert : Triggered when price reacts or bounces off the trendline
These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down).
Display :
For each of the eight trendline types, you can control :
Whether to show or hide the line
Whether to delete the previous line when a new one is drawn
Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width
Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent.
All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments.
🔵 Conclusion
A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision.
The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias.
This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
Dual Volume Divergence LineDual Volume Divergence Line (DVD/Line)
🔹 Overview
The Dual Volume Divergence Line (DVD/Line) is a custom Pine Script™ indicator designed to identify potential trend reversals and continuations by analyzing volume and price divergences. This script is inspired by the original concept of the Dual Volume Divergence Index (DVDI) by DonovanWall and has been modified and enhanced by keremertem. Special thanks to DonovanWall for the original concept. The indicator combines volume-based calculations with price action to generate signals for bullish and bearish divergences, both normal and hidden. Below is a detailed breakdown of its components and functionality.
🔹 Key Features of the DVD/Line Indicator
1. Dual Volume Divergence Calculation:
- The indicator calculates two primary volume-based indices: the Positive Volume Index (PVI) and the Negative Volume Index (NVI).
- PVI measures the impact of volume on price when the price increases, while NVI measures the impact when the price decreases.
- These indices are used to detect divergences between volume and price, which can signal potential reversals or continuations.
2. Customizable Inputs:
- DVD Sampling Period: Adjusts the sensitivity of the indicator by controlling the lookback period for calculating the volume-weighted moving averages (VWMA) of PVI and NVI.
- Band Width: Defines the range for calculating the upper and lower bands, which act as dynamic support and resistance levels.
- Source: Allows users to select the price source (e.g., `hlc3`, `close`, etc.) for calculations.
3. Volume-Weighted Moving Averages (VWMA):
- Instead of using traditional moving averages, the script employs VWMA to smooth the PVI and NVI signals. This ensures that the indicator is more responsive to changes in volume.
4. Upper and Lower Bands:
- The upper and lower bands are calculated using the Root Mean Square (RMS) of the highest and lowest values of the DVD line over a user-defined period. These bands help identify overbought and oversold conditions.
5. Divergence Detection:
- The script identifies four types of divergences:
- Normal Bullish Divergence: Occurs when price makes a lower low, but the DVD line makes a higher low.
- Hidden Bullish Divergence: Occurs when price makes a higher low, but the DVD line makes a lower low.
- Normal Bearish Divergence: Occurs when price makes a higher high, but the DVD line makes a lower high.
- Hidden Bearish Divergence: Occurs when price makes a lower high, but the DVD line makes a higher high.
- These divergences are visually highlighted on the chart using labels.
6. Customizable Divergence Selection:
- Users can choose between two types of divergence calculations:
- DVDI: Based on the raw divergence values.
- DVD Line: Based on the smoothed DVD line.
7. Visual Enhancements:
- The DVD line is plotted with a color-coded scheme: blue when the DVD line is above its signal line (bullish) and pink when it is below (bearish).
- The upper and lower bands are displayed as step lines, making it easier to identify key levels.
🔹 How the Indicator Works
1. Volume-Based Calculations:
- The script starts by calculating the PVI and NVI based on the selected price source and volume data.
- PVI increases when the price rises, while NVI decreases when the price falls. These indices are then smoothed using VWMA to generate signals.
2. DVD Line Calculation:
- The DVD line is derived by combining the divergences of PVI and NVI. It is further smoothed using a Weighted Moving Average (WMA) and a linear regression line for trend analysis.
3. Divergence Detection:
- The script identifies pivot points in the DVD line and compares them with price action to detect divergences.
- Normal divergences indicate potential reversals, while hidden divergences suggest trend continuations.
4. Dynamic Bands:
- The upper and lower bands are calculated using RMS, which provides a more accurate representation of volatility compared to standard deviation or fixed-width bands.
5. Labeling:
- Divergences are labeled directly on the chart with clear text and color coding:
🟢 Bullish Divergence: Green label with "Bull".
🟩 Bearish Divergence: Red label with "Bear".
🔴 Hidden Bullish Divergence: Lime label with "hid.".
🟧 Hidden Bearish Divergence: Orange label with "hid.".
🔹 Unique Aspects of This Script
1. Volume-Weighted Smoothing:
- Unlike traditional divergence indicators that rely on simple moving averages, this script uses VWMA and WMA to ensure that volume plays a significant role in signal generation.
2. Dynamic Bands with RMS:
- The use of RMS for calculating bands provides a more adaptive and accurate representation of market conditions, especially in volatile markets.
3. Flexible Divergence Selection:
- Users can choose between raw divergence values (DVDI) or smoothed values (DVD Line), allowing for greater customization based on trading style.
4. Comprehensive Divergence Detection:
- The script detects both normal and hidden divergences, providing a complete picture of potential trend reversals and continuations.
5. User-Friendly Visuals:
- The color-coded DVD line and cross-style bands make it easy to interpret the indicator at a glance.
🔹 How to Use the Indicator
1. Trend Identification:
- Use the Middle Band and its color to identify the current trend. A green line suggests bullish momentum, while a red line indicates bearish momentum. Additionally, a bullish momentum may be indicated when the DVD line crosses up, and a bearish momentum may be indicated when it crosses down the Middle Band.
2. Divergence Trading:
- Look for divergences between the DVD line and price action. Normal divergences can be used for counter-trend trades, while hidden divergences can confirm trend continuations.
3. Band Breakouts:
- Monitor the upper and lower bands for potential breakout or reversal signals. A break above the upper band may indicate overbought conditions, while a break below the lower band may suggest oversold conditions.
4. Customization:
- Adjust the sampling period and band width to suit different timeframes and trading strategies. Shorter periods are more sensitive, while longer periods provide smoother signals.
🔹 Conclusion
The Dual Volume Divergence Line (DVD/Line) is a powerful and versatile indicator that combines volume analysis with price action to generate actionable trading signals. Its unique use of volume-weighted smoothing, dynamic bands, and comprehensive divergence detection sets it apart from traditional divergence indicators. Whether you're a day trader or a long-term investor, this tool can help you identify high-probability trading opportunities with greater accuracy and confidence.
📌 Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always conduct your own analysis before making trading decisions.
TradZoo - EMA Crossover IndicatorDescription:
This EMA Crossover Trading Strategy is designed to provide precise Buy and Sell signals with confirmation, defined targets, and stop-loss levels, ensuring strong risk management. Additionally, a 30-candle gap rule is implemented to avoid frequent signals and enhance trade accuracy.
📌 Strategy Logic
✅ Exponential Moving Averages (EMAs):
Uses EMA 50 & EMA 200 for trend direction.
Buy signals occur when price action confirms EMA crossovers.
✅ Entry Confirmation:
Buy Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes above the previous candle’s close.
Sell Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes below the previous candle’s close.
✅ 30-Candle Gap Rule:
Prevents frequent entries by ensuring at least 30 candles pass before the next trade.
Improves signal quality and prevents excessive trading.
🎯 Target & Stop-Loss Calculation
✅ Buy Position:
Target: 2X the difference between the last candle’s close and the lowest low of the last 2 candles.
Stop Loss: The lowest low of the last 2 candles.
✅ Sell Position:
Target: 2X the difference between the last candle’s close and the highest high of the last 2 candles.
Stop Loss: The highest high of the last 2 candles.
📊 Visual Features
✅ Buy & Sell Signals:
Green Upward Arrow → Buy Signal
Red Downward Arrow → Sell Signal
✅ Target Levels:
Green Dotted Line: Buy Target
Red Dotted Line: Sell Target
✅ Stop Loss Levels:
Dark Red Solid Line: Stop Loss for Buy/Sell
💡 How to Use
🔹 Ideal for trend-following traders using EMAs.
🔹 Works best in volatile & trending markets (avoid sideways ranges).
🔹 Can be combined with RSI, MACD, or price action levels for added confluence.
🔹 Recommended timeframes: 1M, 5M, 15m, 1H, 4H, Daily (for best results).
🚀 Try this strategy and enhance your trading decisions with structured risk management!
XGBoost Approximation Indicator with HTF Filter Ver. 3.2XGBoost Approx Indicator with Higher Timeframe Filter Ver. 3.2
What It Is
The XGBoost Approx Indicator is a technical analysis tool designed to generate trading signals based on a composite of multiple indicators. It combines Simple Moving Average (SMA), Relative Strength Index (RSI), MACD, Rate of Change (ROC), and Volume to create a composite indicator score. Additionally, it incorporates a higher timeframe filter (HTF) to enhance trend confirmation and reduce false signals.
This indicator helps traders identify long (buy) and short (sell) opportunities based on a weighted combination of trend-following and momentum indicators.
How to Use It Properly
Setup and Configuration:
Add the indicator to your TradingView chart.
Customize input settings based on your trading strategy. Key configurable inputs include:
HTF filter (default: 1-hour)
SMA, RSI, MACD, and ROC lengths
Custom weightings for each component
Thresholds for buy and sell signals
Understanding the Signals:
Green "Long" Label: Appears when the composite indicator crosses above the buy threshold, signaling a potential buy opportunity.
Red "Short" Label: Appears when the composite indicator crosses below the sell threshold, signaling a potential sell opportunity.
These signals are filtered by a higher timeframe SMA trend to improve accuracy.
Alerts:
The indicator provides alert conditions for long and short entries.
Traders can enable alerts in TradingView to receive real-time notifications when a new signal is triggered.
Safety and Best Practices
Use in Conjunction with Other Analysis: Do not rely solely on this indicator. Combine it with price action, support/resistance levels, and fundamental analysis for better decision-making.
Adjust Settings for Your Strategy: The default settings may not suit all markets or timeframes. Test different configurations before trading live.
Backtest Before Using in Live Trading: Evaluate the indicator’s past performance on historical data to assess its effectiveness in different market conditions.
Avoid Overtrading: False signals can occur, especially in low volatility or choppy markets. Use additional confirmation (e.g., trendlines or moving averages).
Risk Management: Always set stop-loss levels and position sizes to limit potential losses.
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.
