Delta Volume Heatmap Delta Volume Heatmap
The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure.
Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation.
🟩 Green tones = Buy-dominant activity (bullish imbalance)
🟥 Red tones = Sell-dominant activity (bearish imbalance)
This tool helps traders quickly identify:
Abnormal volume spikes
Absorption or exhaustion zones
Potential reversal or continuation signals
Indicateurs et stratégies
Delta Volume Heatmap Delta Volume Heatmap
The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure.
Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation.
Green tones = Buy-dominant activity (bullish imbalance)
Red tones = Sell-dominant activity (bearish imbalance)
This tool helps traders quickly identify:
Abnormal volume spikes
Absorption or exhaustion zones
Potential reversal or continuation signals
ATR DrawerWith this ATR chart, you can easily see what yesterday's ATR was compared to today's High/Low, and if you want, it will also show you yesterday's ATR number in the corner.
When a new High/Low is created, the lines automatically adapt to yesterday's ATR. Every day, it recalculates and redraws the lines to yesterday's ATR level.
You can set:
- ATR length
- ATR line width
- Line color
- Show/hide yesterday's ATR
Dominant DATR [CHE] Dominant DATR — Directional ATR stream with dominant-side EMA, bands, labels, and alerts
Summary
Dominant DATR builds two directional volatility streams from the true range, assigns each bar’s range to the up or down side based on the sign of the close-to-close move, and then tracks the dominant side through an exponential average. A rolling band around the dominant stream defines recent extremes, while optional gradient coloring reflects relative magnitude. Swing-based labels mark new higher highs or lower lows on the dominant stream, and alerts can be enabled for swings, zero-line crossings, and band breakouts. The result is a compact pane that highlights regime bias and intensity without relying on price overlays.
Motivation: Why this design?
Conventional ATR treats all range as symmetric, which can mask directional pressure, cause late regime shifts, and produce frequent false flips during noisy phases. This design separates the range into up and down contributions, then emphasizes whichever side is stronger. A single smoothed dominant stream clarifies bias, while the band and swing markers help distinguish continuation from exhaustion. Optional normalization by close makes the metric comparable across instruments with different price scales.
What’s different vs. standard approaches?
Reference baseline: Classic ATR or a basic EMA of price.
Architecture differences:
Directional weighting of range using positive and negative close-to-close moves.
Separate moving averages for up and down contributions combined into one dominant stream.
Rolling highest and lowest of the dominant stream to form a band.
Optional normalization by close, window-based scaling for color intensity, and gamma adjustment for visual contrast.
Event logic for swing highs and lows on the dominant stream, with label buffering and pruning.
Configurable alerts for swings, zero-line crossings, and band breakouts.
Practical effect: You see when volatility is concentrated on one side, how strong that bias currently is, and when the dominant stream pushes through or fails at its recent envelope.
How it works (technical)
Each bar’s move is split into an up component and a down component based on whether the close increased or decreased relative to the prior close. The bar’s true range is proportionally assigned to up or down using those components as weights.
Each side is smoothed with a Wilder-style moving average. The dominant stream is the side with the larger value, recorded as positive for up dominance and negative for down dominance.
The dominant stream is then smoothed with an exponential moving average to reduce noise and provide a responsive yet stable signal line.
A rolling window tracks the highest and lowest values of the dominant EMA to form an envelope. Crossings of these bounds indicate unusual strength or weakness relative to recent history.
For visualization, the absolute value of the dominant EMA is scaled over a lookback window and passed through a gamma curve to modulate gradient intensity. Colors are chosen separately for up and down regimes.
Swing events are detected by comparing the dominant EMA to its recent extremes over a short lookback. Labels are placed when a prior bar set an extreme and the current bar confirms it. A managed array prunes older labels when the user-defined maximum is exceeded.
Alerts mirror these events and also include zero-line crossings and band breakouts. The script does not force closed-bar confirmation; users should configure alert execution timing to suit their workflow.
There are no higher-timeframe requests and no security calls. State is limited to simple arrays for labels and persistent color parameters.
Parameter Guide
Parameter — Effect — Default — Trade-offs/Tips
ATR Length — Smoothing of directional true range streams — fourteen — Longer reduces noise and may delay regime shifts; shorter increases responsiveness.
EMA Length — Smoothing of the dominant stream — twenty-five — Lower values react faster; higher values reduce whipsaw.
Band Length — Window for recent highs and lows of the dominant stream — ten — Short windows flag frequent breakouts; long windows emphasize only exceptional moves.
Normalize by Close — Divide by close price to produce a percent-like scale — false — Useful across assets with very different price levels.
Enable gradient color — Turn on magnitude-based coloring — true — Visual aid only; can be disabled for simplicity.
Gradient window — Lookback used to scale color intensity — one hundred — Larger windows stabilize the color scale.
Gamma (lines) — Adjust gradient intensity curve — zero point eight — Lower values compress variation; higher values expand it.
Gradient transparency — Transparency for gradient plots — zero, between zero and ninety — Higher values mute colors.
Up dark / Up neon — Base and peak colors for up dominance — green tones — Styling only.
Down dark / Down neon — Base and peak colors for down dominance — red tones — Styling only.
Show zero line / Background tint — Visual references for regime — true and false — Background tint can help quick scanning.
Swing length — Bars used to detect swing highs or lows — two — Larger values demand more structure.
Show labels / Max labels / Label offset — Label visibility, cap, and vertical offset — true, two hundred, zero — Increase cap with care to avoid clutter.
Alerts: HH/LL, Zero Cross, Band Break — Toggle alert rules — true, false, false — Enable only what you need.
Reading & Interpretation
The dominant EMA above zero indicates up-side dominance; below zero indicates down-side dominance.
Band lines show recent extremes of the dominant EMA; pushes through the band suggest unusual momentum on the dominant side.
Gradient intensity reflects local magnitude of dominance relative to the chosen window.
HH/LL labels appear when the dominant stream prints a new local extreme in the current regime and that extreme is confirmed on the next bar.
Zero-line crosses suggest regime flips; combine with structure or filters to reduce noise.
Practical Workflows & Combinations
Trend following: Consider entries when the dominant EMA is on the regime side and expands away from zero. Band breakouts add confirmation; structure such as higher highs or lower lows in price can filter signals.
Exits and stops: Tighten exits when the dominant stream stalls near the band or fades toward zero. Opposite swing labels can serve as early caution.
Multi-asset and multi-timeframe: Works across liquid assets and common timeframes. For lower noise instruments, reduce smoothing slightly; for high noise, increase lengths and swing length.
Behavior, Constraints & Performance
Repaint and confirmation: No security calls and no future-looking references. Swing labels confirm one bar later by design. Real-time crosses can change intra-bar; use bar-close alerts if needed.
Resources: `max_bars_back` is two thousand. The script uses an array for labels with pruning, gradient color computations, and a simple while loop that runs only when the label cap is exceeded.
Known limits: The EMA can lag at sharp turns. Normalization by close changes scale and may affect thresholds. Extremely gappy data can produce abrupt shifts in the dominant side.
Sensible Defaults & Quick Tuning
Starting point: ATR Length fourteen, EMA Length twenty-five, Band Length ten, Swing Length two, gradient enabled.
Too many flips: Increase EMA Length and swing length, or enable only swing alerts.
Too sluggish: Decrease EMA Length and Band Length.
Inconsistent scales across symbols: Enable Normalize by Close.
Visual clutter: Disable gradient or reduce label cap.
What this indicator is—and isn’t
This is a volatility-bias visualization and signal layer that highlights directional pressure and intensity. It is not a complete trading system and does not produce position sizing or risk management. Use it with market structure, context, and independent risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
FUNDINGHello everyone. This is the Funding Indicator, and I'm going to tell you all about it.
I've selected 40 cryptocurrencies for this indicator to analyze. It analyzes all of them and combines the data in a unique way. How does it work exactly?
You will notice 4 different graphs in the indicator:
Change in the number of cryptocurrencies with funding above standard values (F > 0.01)
Change in the number of cryptocurrencies with standard funding values (F = 0.01)
Change in the number of cryptocurrencies with funding below standard values (F < 0.01)
Change in the number of cryptocurrencies with negative funding values (F < 0)
Why do we even need to analyze this?
The point is that by analyzing the funding rates of the entire market, as we do with our indicator, we can understand the overall sentiment of the mass of traders. For instance, if most cryptocurrencies are trading with a negative funding rate, we can assume that the market is currently opening predominantly short positions. Conversely, if most coins are trading with funding rates above standard values, it might suggest market euphoria, signaling that we should be cautious with long positions, as the market might move against the majority.
Therefore, by analyzing the funding rates of the entire market at once, we can observe in real-time how the crowd's sentiment is shifting. This allows us to timely open or, conversely, close our positions, anticipating a move against the majority's expectation. This gives us an advantage over other market participants.
The settings are extremely simple. In the "Styles" tab, you can select which groups of coins to display, as I described above.
Here are a few examples below.
In this version, I've kept only two graphs:
Change in the number of cryptocurrencies with funding above standard values (F > 0.01)
Change in the number of cryptocurrencies with funding below standard values (F < 0.01)
The moment these lines touch can be a good indicator for identifying a market bottom.
A bottom can also be identified by keeping only the graph for negative funding values.
Also, a very important note! Remember, the funding rate doesn't directly tell us the intentions of the majority; we interpret the sentiment indirectly through it. I wish you good luck in using it!
Batman Strategy v1
1. Overview & Core Concept
The "Batman Strategy V1" is a comprehensive trend-following and pyramid-trading framework designed for multiple asset classes. Its core concept is to identify strong, established trends and systematically enter positions in stages (pyramiding) to maximize gains during sustained market movements.
This strategy is built on a proprietary scoring system that synthesizes multiple market dimensions—including stage analysis, relative strength, and volume dynamics—into clear, actionable signals. It is not a simple indicator mashup; it's a complete system with defined entry, exit, and risk management protocols.
2. Key Features
Proprietary Trend Scoring: The strategy grades market conditions from 'A' (strong bull trend) to 'Z' (strong bear trend) using a unique combination of ADX and RSI calculations, providing a nuanced view of trend maturity and strength.
Advanced Relative Strength Analysis: Automatically compares the asset's performance against a relevant market index (e.g., NIFTY for Indian stocks, NDX for US stocks, or a total crypto market cap for crypto) to ensure it is a market leader.
Heikin-Ashi Based Logic: Utilizes Heikin-Ashi candles for its core calculations to filter out market noise and provide smoother trend signals.
Multi-Tranche Pyramiding: The strategy is designed to enter a position with an initial tranche and add up to four subsequent positions if the trend continues favorably, based on a proprietary breakout logic (`ha_close > breakout`).
Dynamic & Multi-Option Exits: Offers three distinct, user-selectable trailing stop mechanisms for exits: SuperTrend, V-Stop, and Chandelier Exit. This allows traders to tailor the exit logic to their risk tolerance and the asset's volatility. The data source for these exits can also be switched between the standard chart and Heikin-Ashi candles.
Integrated Risk Management: Implements a sophisticated stop-loss system that adjusts based on the number of open trades, aiming to move to break-even after the third tranche and protecting capital.
3. How to Use This Strategy
Configuration: In the script settings, first set your desired backtesting date range. Then, configure the "Entry," "Tranching," and "Exit" parameters to suit your trading style. The most important choice is the "Exit Indicator," as this will define how the strategy closes trades.
Interpretation: When applied to a chart, the strategy will plot trend score labels ('A', 'B', 'C' for bullish; 'X', 'Y', 'Z' for bearish), color the background based on relative strength, and color the bars based on volume strength. Backtesting results, including all pyramided trades, will be visible in the "Strategy Tester" panel.
Alerts: The script includes built-in alert conditions for both bullish and bearish trend scores, which can be used to notify you of potential opportunities.
4. Backtesting & Performance
This is a strategy script, and its performance should be thoroughly evaluated in the Strategy Tester. As per TradingView rules, users should use realistic settings for initial capital, commission, and slippage. The default settings are a template; they should be adjusted to reflect the conditions of the market you are testing. Past performance is not indicative of future results.
5. Disclaimer
This strategy is a tool for market analysis and idea validation. It is not financial advice. All trading involves risk, and you should not risk more than you are prepared to lose. This is a closed-source, protected script; its internal calculations are proprietary.
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW
The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form.
🔵 CONCEPTS
Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts.
Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends.
Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows.
Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions.
Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms.
Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends.
🔵 FEATURES
Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot).
Pivot Profile toggle :
On → draw the filled pivot profile + PoC + pivot label.
Off → hide profiles; show only PoC level (clean S/R mode).
Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias.
Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range.
PoC Extension : Automatically extends the most active price level until a new pivot is confirmed.
Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend.
Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias.
Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles).
🔵 HOW TO USE
Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure.
Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it.
Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum.
Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence.
Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts.
🔵 CONCLUSION
The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts.
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does
CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time.
Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones.
The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior.
It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels.
⚙️ Main Features
✅ Price-mapped CVD Overlay
CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure.
✅ Multi-Timeframe Presets
Three sensitivity presets optimized for different chart environments:
Strict (4H) → Best for macro trends and high-timeframe structure.
Balanced (1H / 30m) → Great for active swing setups.
Sensitive (15m) → Captures short-term intraday reversals.
✅ Dynamic Bands & Smoothing
Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points.
✅ Smart Buy/Sell Signal Logic
Automatic label triggers when the CVD Overlay crosses its smoothed baseline:
🟢 BULL LONG → Rising CVD above the mean (buyers in control).
🔴 BEAR SHORT → Falling CVD below the mean (sellers in control).
✅ Persist Mode
Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise.
✅ Clean, Minimal Overlay
Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups.
🧩 Use Case
CVD Pro is designed for traders who:
Use Smart Money Concepts (SMC) or ICT-style trading
Watch for FVG reactions, breaker blocks, and liquidity sweeps
Need to confirm order flow direction or momentum strength
Trade intraday or swing setups with precision entries and clear bias confirmation
⚡ Recommended Settings
4H / 1H: Use Strict mode for major structure and confirmation.
1H / 30m: Balanced mode for clear mid-term trend alignment.
15m: Sensitive mode to catch scalps and lower-TF shifts.
🧠 Pro Tips
Combine with RSI or Market Structure Breaks (MSS) for additional confluence.
A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal.
Persistent CVD crossover + price structure break = high-probability entry.
🧩 Credits
Created by Patrick S. ("Nova Labs")
Concept inspired by professional order-flow analytics and adaptive Z-Score normalization.
Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)?
It’s usually a 2–3 sentence hook like:
“Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
Aggression Bulbs v3.1 (Sessions + Bias, fixed)EYLONAggression Bulbs v3.2 (Sessions + Bias + Volume Surge)
This indicator highlights aggressive buy and sell activity during the London and New York sessions, using volume spikes and candle body dominance to detect institutional momentum.
⚙️ Main Logic
Compares each candle’s volume vs average volume (Volume Surge).
Checks body size vs full candle range to detect strong directional moves.
Uses an EMA bias filter to align signals with the current trend.
Displays green bubbles for aggressive buyers and red bubbles for aggressive sellers.
🕐 Sessions
London: 08:00–12:59 UTC+1
New York: 14:00–18:59 UTC+1
(Backgrounds: Yellow = London, Orange = New York)
📊 How to Read
🟢 Green bubble below bar → Aggressive BUY candle (strong demand).
🔴 Red bubble above bar → Aggressive SELL candle (strong supply).
Bubble size = relative strength (volume × candle dominance).
Use in confluence with key POI zones, volume profile, or delta clusters.
⚠️ Tips
Use on 1m–15m charts for scalping or intraday analysis.
Combine with your session bias or FVG zones for higher accuracy.
Set alerts when score ≥ threshold to catch early momentum.
Higher Timeframe Bias and DOLAn indicator which looks at the most recent FVG and, assuming it's been respected, provides a bias flag on the 1H, 4H and Daily levels.
Differenza Close - SMA200 con MM9 dinamicaDifferenza Close - SMA200 con MM9 dinamica
distanza tra i prezzi e la sua media di lungo periodo.
Ultimate Stock Trend & Liquidity Screener1. Overview & Originality
This script is a comprehensive, all-in-one screening tool designed to identify high-quality, trend-following opportunities in global stock markets. Its originality lies in combining seven distinct logical checks—spanning liquidity, trend, momentum, and volatility—into a single, cohesive framework.
www.tradingview.com
The script's core innovation is its "Total Score" system. This feature moves beyond simple binary filtering by quantifying how well a stock meets the ideal criteria for a tradable trend. This allows you to rank entire watchlists to find the most promising candidates, not just the ones that meet a minimum threshold.
Designed for full integration with the TradingView ecosystem, the script outputs all individual conditions and the Total Score as separate columns in the Pine Screener, enabling deep and flexible market analysis.
2. Core Concepts & How It Works
Built on the classic principles of trend-following, this screener validates potential trades against a robust checklist. The default parameters are tuned for stock market analysis, using standard lookback periods like the 50 and 200-day moving averages.
The script systematically checks for:
Liquidity: Guarantees the stock is actively traded by filtering for minimum daily dollar volume (turnover) and a healthy 30-day average volume, which is critical for good execution.
Trend Confirmation: Employs the classic 50/200 Simple Moving Average "golden cross" structure to confirm a healthy, long-term uptrend.
Trend Quality: Includes an optional filter to verify that the long-term 200-day SMA is actively sloping upwards, ensuring the underlying trend has momentum.
Trend Strength: Uses the Average Directional Index (ADX) to filter out weak or sideways markets, focusing only on stocks in a strong, established trend.
Momentum: Confirms the trend is supported by sustained buying pressure by checking that the Relative Strength Index (RSI) is in a bullish regime (above 50).
Volatility: Requires a minimum level of volatility using the Average True Range (ATR) as a percentage of the price, ensuring the stock has enough movement to be tradable.
Strategic Entry: Offers a user-selectable "Entry Mode" to fit different trading styles:
Breakout Mode: Identifies stocks hitting new highs on a surge of volume.
Pullback Mode: Finds stocks already in a strong uptrend that are experiencing a healthy dip to a short-term moving average.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Stock Analysis: Apply the script to any stock chart to see a detailed diagnostic table in the bottom-right corner. This table provides a real-time checklist for all 7 conditions and the Total Score.
Full Market Screening (Recommended):
Open the Stock Screener on TradingView.
Click "Filters" and select this script from the Pine Screener menu.
Click the "Columns" button and add the new columns generated by this script ("Total Score," "Liquidity OK," etc.).
You can now sort your entire watchlist by "Total Score" to find the best candidates or filter for stocks that meet a minimum score (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters are fully customizable in the script's "Settings" menu. You can easily adjust moving average lengths, thresholds, and lookback periods to tailor the screener to your specific strategy, timeframe, or market.
5. Disclaimer
This tool is for educational and analytical purposes only. It is not financial advice and does not guarantee any specific outcome or profit. Past performance is not indicative of future results. Always use this screener as part of a complete trading plan that includes your own analysis and risk management.
KCP Support & Resistance [Dr.K.C.PRAKASH]ChatGPT said:
This indicator “KCP Support & Resistance ” (Pine Script v5) is a multi-featured support & resistance tool that combines pivots, slope-based channels, Fibonacci options, and SMA200 trend reference.
🔎 Core Concept
The script identifies pivot highs and lows and uses them to draw support and resistance levels on the chart.
It allows you to visualize them in two ways:
Horizontal lines (flat support/resistance at pivot values).
Parallel slope-based lines (trend-adjusted, drawn with slope factor).
⚙️ Settings & Options
Theme
useDark: Switches to a dark-color palette with bright neon-style lines for better visibility on dark charts.
Basic Settings
length: Pivot length (bars used to detect swing high/low).
lookback: How many past pivot points to use for plotting lines.
Slope: Multiplier applied to slope calculations (for slanted trendline-style S/R).
Extend Horizontal Lines Left?: Option to extend horizontal lines to both sides.
Extend Parallel Lines Left?: Same for slope-based lines.
Show/Hide Controls
Show Parallel Lines?: Toggle diagonal support/resistance.
Show Horizontal Lines?: Toggle flat levels.
Show SMA 200 Line?: Toggle long-term SMA(200) reference.
Hide Fibonacci Lines? / Show Fib Trend Line? / Show All Fibonacci Lines?: (reserved for Fib functionality).
Line Colors
Customizable line colors for parallel & horizontal high/low lines.
If Dark Theme is enabled → Uses preset colors:
Electric Blue (Resistance - Parallel Highs)
Neon Green (Support - Parallel Lows)
Deep Red/Pink (Horizontal Highs)
Warm Yellow (Horizontal Lows)
📐 Logic & Calculations
Pivot Detection
Uses ta.pivothigh & ta.pivotlow with length to mark swing points.
Stores them in arrays for drawing multiple levels.
Slope Calculation
Uses covariance/variance of price vs. time (bar_index) to estimate slope.
Multiplied by Slope factor.
Makes trend-following parallel support/resistance lines possible.
Line Drawing
Parallel lines: Slanted, based on pivot highs/lows + slope.
Horizontal lines: Flat support & resistance levels extended across the chart.
SMA200 Plot
Plots SMA(200) for long-term trend direction.
Colored white if EMA(200) > SMA(200), else yellow (trend bias visual).
📊 What You See on Chart
Support & Resistance drawn dynamically from pivots.
Choice of horizontal (classic S/R) or sloped (trend-following) lines.
Dark theme colors → Electric blue, neon green, deep pink, warm yellow (if enabled).
SMA200 reference line → Helps identify bullish/bearish long-term bias.
Optional Fibonacci lines (future expansion).
Breakout is king on any timeframeExperience the power of true market synchronization. This strategy is built to capture explosive Nasdaq moves with pinpoint accuracy — only entering when momentum, structure, and trend align perfectly.
Trade confidently with a system that filters out market noise and focuses only on high-probability setups, delivering consistency even in volatile sessions.
✅ Precision entries on real momentum
✅ Powerful trend confirmation system
✅ Optimized for fast markets and prop firm trading
✅ Designed for traders who demand discipline and results
No unnecessary noise. No guessing. Just clear, decisive signals aligned with the market’s true direction.
If you’re serious about turning precision into profit, this is the strategy you’ve been waiting for.
XAUUSD Confluence Pro v4.7A precision-built TradingView indicator engineered for professional gold (XAUUSD) trading.
It fuses multi-layer trend confirmation (EMA + MACD + ADX) with market-structure logic (BOS/CHOCH, Engulfing, FVG filters) to identify high-probability reversals and continuations.
Each signal automatically generates:
Smart trade metrics: dynamic ATR-based stop-loss, adaptive dual take-profits, and trailing-EMA management.
Integrated performance dashboard: real-time trade tracking in pips and dollars, complete with running totals.
Automation hooks: one-click PineConnector alert support for instant MT4/MT5 execution, including SL, TP, and lot size.
Fully customizable, session-aware, and built for automation—the XAUUSD Confluence Pro v4.7 transforms TradingView into a full-scale strategy terminal.
Realtime Order Bubbles — cryptomonk Description:
Displays real-time bubbles on the chart to visualize buy and sell activity within each candle.
• Green bubbles → Volume increase on upticks (buy pressure)
• Red bubbles → Volume increase on downticks (sell pressure)
• Bubble size → Strength of the volume change
How it works:
The indicator compares live tick updates (or bar closes) against previous volume and price values to detect whether a move was initiated by buyers or sellers, then plots bubbles in real-time accordingly.
Best used for:
• Scalping / Intraday analysis on lower timeframes (1–5 min)
• Detecting volume spikes, momentum shifts, and aggressive order flow
• Works best when chart is set to “Go Live” for tick-level updates
Use case:
A lightweight visual tool for identifying short-term order flow and understanding market pressure without needing full footprint data.
Whalemap JarassWhalemap
Spot the footprints of whales before the crowd does.
This indicator detects massive volume spikes (“huge bubbles”) that often mark key reversal or breakout zones.
• 🚨 Real-time alerts for buy & sell bubbles
• 🕒 Optimized for M15 timeframe
• 🎯 Focused only on the biggest whale moves
• 💡 Clean visuals — no clutter, just high-impact signals
Follow the whales. Trade the bubbles. 🐋💥
Momentum Variance OscillatorWhat MVO measures:
-PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume.
- > 0 = bullish pressure; < 0 = bearish pressure.
-|PV| larger ⇒ stronger momentum.
-Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts.
-Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger).
-Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push.
-Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading.
-(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance.
-Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown.
Core signals & how to trade them:
1) Define the regime:
-Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient.
-Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient.
-Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup).
2) Entries:
Momentum entry:
-Long: PV crosses above Signal while PV > 0.
-Short: PV crosses below Signal while PV < 0.
Breakout/acceleration:
-Long add-on: PV crosses above +obLevel (extreme top) and holds.
-Short add-on: PV crosses below −obLevel (extreme bottom) and holds.
-Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling.
3) Exits / risk:
-Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you.
-Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line.
-Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip).
4) Practical setup - Suggested defaults (good starting point):
-Signal length: 26
-Volume power: 0.50
-obLevel (extreme): 2.00
-weakLvl: 0.75
-Show histogram & dots: On
-Auto-Tune (recommended)
-Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)).
-If you want to see the top combos, enable the Optimizer Table (Top-3).
5) Visual options
-Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read).
-Extremes – paint only when beyond ±obLevel.
-Cross Signals – paint only on the bar that crosses an extreme.
-Background on breach: A one-bar tint when PV crosses an extreme.
6) Example playbook:
Long setup:
-Zero line shows bull gradient and PV > 0.
-PV crosses above Signal (entry).
-If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR.
-Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0.
Short setup mirrors the above on the bear side.
7) Tips to avoid common traps:
-Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip).
-Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait.
-Align with structure: higher-timeframe trend and SR improve expectancy.
-Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes.
8) Alerts you can set:
-Bull Signal X – PV crossed above Signal
-Bear Signal X – PV crossed below Signal
-Bull Baseline X – PV crossed above 0
-Bear Baseline X – PV crossed below 0
TJR asia session sweepThe TJR Asia Session Sweep is a liquidity-based trading strategy that focuses on the Asian session high and low range. During the London open, price often sweeps (breaks) one side of that range to grab liquidity — triggering stop hunts. After the sweep, traders look for a break of structure (BOS) and enter in the opposite direction of the sweep.
MJ_Doy Indicator - Premium & Ordinaire + Dashboard + Alerts (v5)Triple MA
M_jr made this based on Triple MA (moving average and 2x exponentiel moving average)
Просто и ясноThis indicator is a comprehensive trading tool that combines multiple moving averages (MA) and volume profile analysis. Here’s a brief overview of its main components:
Moving Averages System
The indicator displays several types of moving averages with customizable parameters:
Primary MA System:
Two main MAs (MA1 and MA2) with selectable types (SMA, EMA, WMA, VWMA, RMA, HMA)
Customizable lengths for both MAs
MA1 is plotted in blue, MA2 in red
Global Trend MA:
A long-term MA (green line) for trend identification
An additional multiplier line (purple) for support/resistance levels
Additional EMAs:
Multiple EMAs with different periods (from 5 to 150 periods)
Dynamic color coding (green/red) based on direction
Two key EMAs (35 and 90 periods) plotted in yellow
Volume Profile Analysis
The indicator includes a volume profile component that:
Analyzes price distribution over a specified number of bars
Displays volume-based histograms showing:
Buy volume (blue bars)
Sell volume (red bars)
Point of Control (PoC) area
Plots top and bottom range lines
Key Features
Customizable Parameters:
MA types and lengths
Volume profile settings
Visual appearance
Overlays:
All elements are plotted on the price chart
Multiple MA lines for trend analysis
Volume histograms for market depth analysis
Practical Use:
Trend identification using MA crossovers
Support/resistance levels from MA lines
Volume analysis for market sentiment
Potential reversal zones based on volume distribution
The indicator is designed for both trend following and reversal trading strategies, providing a combination of trend analysis tools and volume-based market structure insights.
Это комплексный индикатор для технического анализа, который объединяет несколько инструментов:
Скользящие средние (MA) разных типов (SMA, EMA, WMA, VWMA, RMA, HMA) с настраиваемыми периодами
Основная система из двух MA (синяя и красная линии) для определения трендов
Глобальная MA (зелёная линия) для анализа долгосрочного тренда
Дополнительные EMA с динамической раскраской (зелёный/красный)
Профиль объёма с гистограммами покупок (синие) и продаж (красные)
Индикатор помогает:
Определять тренды через пересечения MA
Находить уровни поддержки/сопротивления
Анализировать рыночный объём
Оценивать настроения участников рынка
Инструмент подходит как для внутридневной торговли, так и для долгосрочного анализа. Все элементы отображаются прямо на графике цены.
GBB_lib_utilsLibrary "GBB_lib_utils"
gbb_moving_average_source(_source, _length, _ma_type)
gbb_moving_average_source
@description Calculates the moving average of a source series.
Parameters:
_source (float) : (series float)
_length (simple int) : (int)
_ma_type (string) : (string)
Returns: (series) Moving average series
gbb_tf_to_display(tf_minutes, tf_string)
gbb_tf_to_display
@description Converts minutes and TF string into a short standard label.
Parameters:
tf_minutes (float) : (float)
tf_string (string) : (string)
Returns: (string) Timeframe label (M1,H1,D1,...)
gbb_convert_bars(_bars)
gbb_convert_bars
@description Formats a number of bars into a duration (days, hours, minutes + bar count).
Parameters:
_bars (int) : (int)
Returns: (string)
gbb_goldorak_init(_tf5Levels_input)
gbb_goldorak_init
@description Builds a contextual message about the current timeframe and optional 5-level TF.
Parameters:
_tf5Levels_input (string) : (string) Alternative timeframe ("" = current timeframe).
Returns: (string, string, float)
kuw13do not use it if you dont know what is for .
its for education only .
learn and you will be better than every one .
do not give up