Cnagda Trading ToolCnagda Trading Tools - complete set of intraday trading
1. Trendline breakout based On ATR.
2. Live RSI, volume/candle average 20 Periods, trend direction last 34 periods, and some useful dashboard features.
3. Ma Scalp Line provide trend support and resistance + Where Line More Flat Previous Time You Also Use That Range As Support And Resistance
4. RSI based POC ( Point Of Control) indicate high Volume Area like fixed Range Volume profile
5. London session breakout with buy/sell Signal and NewYork session opening half hour range breakout with Buy/sell signal
Ma Scalp Buy And Sell Signal For Short term Scalping ( 5 Min Timeframe) Based on Ema And Wma Crossover
I hope these tools will improve your trading, but you should trade only after proper research, this indicator is not responsible for any loss.
Volumeanalysis
Smart Wick AnalyzerSmart Wick Analyzer (SWA)
Purpose: Highlight potential liquidity‑grab candles (long wicks) and turn them into actionable, rule‑based buy/sell signals with trend, volume, and cooldown filters.
Type: Indicator (not a strategy). Educational tool to contextualize wick events.
🧠 What This Script Does
SWA looks for candles where the wick is large relative to its body—a common signature of liquidity sweeps / rejection. It then adds three confirmations before marking a trade signal:
1. Wick Event
• Upper‑wick event (possible rejection from above)
• Lower‑wick event (possible rejection from below)
• Condition: wick length > body × Wick‑to‑Body Ratio
2. Context Filters
• Trend filter : closing price vs. SMA of lookbackBars
• Volume filter : current volume vs. average volume × volumeThreshold
3. Signal Hygiene
• Cooldown : prevents clustering; a minimum number of bars must pass before a new signal is allowed.
If a candle passes these checks:
• Buy Signal (triangle up): long lower wick + price above SMA + relative‑high volume + cooldown passed
• Sell Signal (triangle down): long upper wick + price below SMA + relative‑high volume + cooldown passed
The signal candle is also bar‑colored black for quick visual focus.
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✳️ What the Dotted Lines Mean (including the green one)
On every signal bar the script draws two dotted horizontal levels, extended to the right:
• Open line of the signal candle
• Close line of the signal candle
• They use the signal color: green for Buy, red for Sell.
How to interpret (example: green = Buy signal):
• The green dotted close line represents the momentum validation level. If subsequent candles close above this line, it indicates follow‑through after the wick rejection (buyers defended into the close).
• The green dotted open line is a risk context / invalidation reference. If price falls back below it soon after the signal, the wick event may have failed or devolved into chop.
In your annotated chart: the candle initially looked constructive (“closing above could be positive momentum”), but later price failed and rotated down—hence a sell signal interpreted when an upper‑wick event occurred under down‑trend conditions.
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⚙️ Inputs & What They Control
• Wick‑to‑Body Ratio (wickThreshold): how “extreme” a wick must be to count as a liquidity‑grab.
• Lookback Period (lookbackBars):
• SMA period for trend context
• Volume MA for relative‑volume check
• Volume Multiplier (volumeThreshold): strengthens/loosens volume confirmation.
• Cooldown Bars (cooldownBars): minimum spacing between consecutive signals.
• Enable Alerts (showAlerts): turns on alert conditions.
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🔔 Alerts (exact titles)
• “SWA Buy Alert” — potential reversal / Buy signal detected
• “SWA Sell Alert” — potential reversal / Sell signal detected
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📌 How to Use (practical guide)
1. Scan for the black‑colored signal candle and its dotted lines.
2. For Buy signals (green): Prefer continuation if price closes above the green close line within the next few bars. Manage risk using the open line or your own level.
3. For Sell signals (red): Prefer continuation if price closes below the red close line.
4. Avoid chasing during low‑volume / counter‑trend signals; the filters help, but structure (HTF trend, S/R, session context) still matters.
5. Use the cooldown to reduce noise on fast time frames.
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✅ Why This Isn’t Just “Another Wick Indicator”
• The script does not flag every long‑wick; it requires trend alignment and relative volume to suggest participation.
• The two reference lines (open/close) provide post‑signal state tracking—a simple, visual framework to judge follow‑through vs. failure without additional tools.
• Cooldown logic discourages clustered, low‑quality repeats around the same zone.
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⚠️ Notes & Limitations
• Works across markets/time frames, but wick behavior varies by instrument and session. Parameters may need adjustment.
• Signals are contextual, not guarantees. Consolidation and news spikes can invalidate wick reads.
• This indicator is not a strategy; it does not backtest performance on its own.
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📄 Disclaimer
This tool is for educational purposes only and should be combined with personal analysis and risk management. Markets are uncertain; past behavior does not guarantee future results.
Buy & Sell Volume (OWI)📊 Buy & Sell Volume (OWI) Indicator Guide
The Buy & Sell Volume (OWI) indicator is designed to provide a visual breakdown of buying and selling pressure in each candle, helping traders identify volume surges and potential market moves. It also includes a time filter to focus analysis during key trading hours.
⚙️ Setup & Inputs
When adding the indicator to your chart, you'll see several configurable inputs:
SMA Length : Sets the period for the Simple Moving Average (SMA) of total volume.
Enable Time Filter : Toggles whether to restrict analysis to US market hours (Eastern Time). |
Start Hour/Minute : Defines the beginning of the time filter window (default: 9:45 ET). |
End Hour/Minute : Defines the end of the time filter window (default: 16:15 ET). |
📈 How It Works
🔍 Volume Breakdown
Buy Volume: Estimated volume attributed to buyers, calculated based on candle position.
Sell Volume: Estimated volume attributed to sellers.
Total Volume SMA: A moving average of total volume to benchmark current activity.
⏰ Time Filter (Optional)
When enabled, the indicator only highlights volume spikes during the specified US market hours. This helps filter out noise from pre-market or after-hours trading.
🚨 Highlight Conditions
The indicator flags significant volume spikes with labels above the volume bars:
| Label | Condition |
| V+ | Volume is between 1.5× and 2× the SMA, during market hours (if enabled). |
| V++ | Volume exceeds 2× the SMA, during market hours (if enabled). |
💡 Tips
- Use shorter SMA lengths for more reactive volume analysis.
- Change the time filter if you're trading outside US market hours.
- Combine with candlestick patttern to confirm breakout or reversal signals.
ATAI Triangles — Volume-Based & Price Pattern Analysis (v1.01)ATAI Triangles — Volume-Based & Price Pattern Analysis (v1.01)
Overview
ATAI Triangles identifies two synchronized triangle structures — Hi-Lo-Hi (HLH) and Lo-Hi-Lo (LHL) — and analyzes them both geometrically and volumetrically. For each triangle, volume is split between its two legs (segments), providing interpretable insights into buyer vs seller activity along each path.
The idea is that certain geometric shapes, when paired with volume distribution on each leg, can reveal patterns worth exploring. Users are encouraged to share their observations and interpretations in the TradingView comments section so that more aspects of these triangle combinations can be discovered collectively.
Extra (for fun)
For a bit of entertainment, we’ve included a symbolic “hexagram” glyph that appears when both triangle types align in a particular way — it’s just a visual nod to geometry and has no predictive or trading value.
Interface & data clarity
- Inputs and parameters are organized by function (pattern geometry, volume analysis, visuals, HUD, labels).
- Each input includes tooltips explaining its purpose, units, and possible effects on calculations.
- All on-chart objects (polylines, labels, connectors) are named and colored to reflect their role, with volume values formatted in engineering notation (K, M, B).
- HUD columns and label texts use concise terms and consistent units, so that every displayed value is directly traceable to a calculation in the code.
- Daily and lower-timeframe volume series are clearly separated, with update logic documented to indicate intrabar provisional values vs finalized bar-close values.
Usage notes
Designed to be used alongside other indicators and chart tools for context; it is not a standalone signal generator.
All Buy/Sell volumes are absolute (non-negative); Δ = Buy − Sell.
Intrabar values update live and finalize at bar close (no repaint after close).
Disclaimer
For research, discussion, and educational purposes only. This is not financial advice and does not guarantee any outcome. Trade at your own risk.
QUANTUM MARKET ANALYZER X7QUANTUM MARKET ANALYZER X7 — Study Material (Learning & Teaching Guide)
What this tool is (and isn’t)
QUANTUM MARKET ANALYZER X7 is a multi-factor TradingView indicator that summarizes many classic signals into one dashboard. It does not predict the future or guarantee profits. It simply scores what is happening now using oscillators, moving averages, order-block behavior, trendline/channel context, Supertrend bias, and volume/flow clues—so you can make structured, risk-aware decisions.
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Quick start (for brand-new traders)
1. Add the indicator to a chart.
2. Pick an Analysis Timeframe (e.g., 60-min for day trading, 4-hour for swing).
3. Read the Summary tile first; then check Oscillators → MAs → OB/Trendline/Supertrend → Volume.
4. Take trades only when multiple sections agree, and always plan stop loss and size before entry.
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How the dashboard is built (section by section)
Below you’ll learn what each section measures, how the numbers are produced, and how to interpret them. The script converts each sub-signal into a small integer (e.g., +2, +1, 0, −1, −2). These are summed into section totals and then into a Summary score.
1) Summary (the combined score)
• What it is: The grand total of all sections (Oscillators + Moving Averages + Advanced: OB, Trendline/Channel, Supertrend, Volume).
• How it’s labeled:
o Large positive total → BUY / STRONG BUY
o Around zero → NEUTRAL
o Large negative total → SELL / STRONG SELL
• How to use: Treat it as a headline, not a trigger. Confirm with the sections below and price action.
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2) Oscillators (momentum / overbought–oversold)
Inputs used on your chosen timeframe:
• RSI(14):
o 70 → bearish pressure (−)
o <30 → bullish pressure (+)
• Stochastic (14):
o 80 overbought (−), <20 oversold (+)
• CCI(20):
o +100 (−), <−100 (+)
• Williams %R(14):
o −20 overbought (−), <−80 oversold (+)
• MACD(12,26,9):
o MACD line > Signal → (+), below → (−)
• Momentum(10): >0 → (+), <0 → (−)
• ROC(9): >+2% → (+), <−2% → (−)
• Bollinger Bands(20,2):
o Price > Upper band → (−), < Lower band → (+)
How it scores: Each item contributes between −2 and +2 (or −1/+1 for some). The Oscillator total is their sum.
How to use: Oscillators excel for timing. Favor longs when the total is clearly positive and exiting or avoiding when clearly negative.
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3) Moving Averages (trend/structure)
MAs used: SMA(10/20/50/100/200) and EMA(10/20/50).
Scoring logic: Compares price vs each MA:
• Price > MA by >2% → +2 (strongly bullish)
• Price > MA by 0–2% → +1
• Price < MA by 0–2% → −1
• Price < MA by >2% → −2
How to use: A clearly positive MA total suggests trend alignment for longs; clearly negative favors shorts or flat. Mixed readings → treat as range/transition.
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4) Order-Block (OB) breakout analysis (support/resistance from clustered reactions)
What it approximates: The script searches a lookback window for pivot-like candles and counts repeated “touches” near that level (within ±0.2%) to infer support (bullish OB) or resistance (bearish OB).
Settings you can tune
• OB Lookback Period: how far back to search.
• Min OB Touches: more touches = stronger level.
Signals produced
• BULLISH BRK: Price crosses above the most recent bearish OB (resistance → breakout).
• BEARISH BRK: Price crosses below the most recent bullish OB (support → breakdown).
• ABOVE SUP / BELOW RES: Price position relative to the latest OB levels.
How to use: Use OB with MAs and Volume. Best when a breakout comes with trend alignment and volume expansion.
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5) Trendline / Channel analysis (context envelope)
Rather than a single diagonal line, this module forms a dynamic channel:
• Finds highest high and lowest low over your Trendline Lookback.
• Builds a midline = (highest + lowest)/2.
• Creates an upper/lower channel by multiplying the range with Channel Width Multiplier.
Signals produced
• UPPER BRK: Price > upper channel (bullish expansion)
• LOWER BRK: Price < lower channel (bearish expansion)
• ABOVE MID / BELOW MID: Bias zone inside channel
How to use: Treat UPPER/LOWER breaks as momentum context. Confirm with MAs and Volume before acting.
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6) Supertrend (ATR-based bias)
• Uses ta.supertrend(ATR Multiplier, ATR Period) on your analysis timeframe.
• Signal:
o BULLISH when Supertrend flips to trend-up state
o BEARISH when it flips to trend-down
Tuning tips:
• Higher ATR Multiplier (e.g., 6) → fewer, higher-quality flips.
• Lower multiplier → more responsive, more noise.
How to use: Use Supertrend as a trend filter. Avoid fighting it unless higher-timeframe context disagrees and you have strong confluence.
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7) Volume/Flow analysis (participation & pressure)
This section combines several volume-based tools:
1. Volume Spike vs MA
o Volume MA Period (default 20)
o Volume Spike Threshold (e.g., 1.5×)
o If current volume / MA > threshold → spike.
2. OBV vs OBV-MA → Accumulation (+) / Distribution (−)
3. VPT vs VPT-MA → Price-volume trend alignment (+/−)
4. MFI(14): >70 (−), <30 (+)
5. Accumulation/Distribution vs its MA → (+/−)
Scoring:
• Big spike with up bar → +2; with down bar → −2
• Each of OBV, VPT, MFI, A/D adds +1 or −1
Interpretation labels:
• HIGH ACC / ACCUM → constructive flow
• HIGH DIST / DISTRIB → selling pressure
• NEUTRAL → no edge
How to use: Favor setups where directional signals + trend + volume point the same way.
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Putting it together — a repeatable reading order
1. Summary: What’s the combined bias?
2. Oscillators: Is momentum supportive or stretched?
3. MAs: Is price aligned with the trend structure?
4. OB & Trendline/Channel: Are we breaking key levels/zones?
5. Supertrend: Is the higher-level bias with you or against you?
6. Volume: Is there participation to confirm the move?
Only act when at least 3–4 sections agree and you can define a logical stop and position size.
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Parameter tuning (step-by-step)
1. Choose timeframe:
o 15–60m for active trading; 4h–1D for swing.
2. Oscillators:
o Keep defaults first; later tighten or loosen thresholds only if you’ve tested.
3. Moving Averages:
o The script’s built-in 0–2% bands around each MA are sensible.
o If your market is very volatile, you can consider widening the 2% threshold to reduce whipsaws (requires code edit).
4. Order Blocks:
o Start with OB Lookback ~50 and Min Touches = 2.
o Increase touches for fewer, stronger zones.
5. Trendline/Channel:
o Longer Trendline Lookback and smaller Channel Width → tighter channel (more breaks).
o Shorter lookback and larger width → fewer breaks.
6. Supertrend:
o If you get too many flips, raise ATR Multiplier.
o If it’s lagging, lower it slightly.
7. Volume:
o For quieter instruments, reduce the Threshold (e.g., 1.2×).
o For very liquid/active markets, 1.5–2.0× works well.
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Example playbooks (for practice)
A) Pro-trend long continuation
• Summary: BUY or STRONG BUY
• MAs: clearly positive
• Supertrend: BULLISH
• OB/Trendline: ABOVE MID or UPPER BRK
• Volume: ACCUM or HIGH ACC
Plan: Enter on a minor pullback; stop below recent structure; scale out at logical resistance.
B) Mean-reversion short (cautious)
• Oscillators: multiple overbought readings (RSI>70, price > BB upper)
• MAs: still positive (trend up), so this is countertrend
• Volume: no spike
Plan: If you must, take smaller size, tighter stop, faster targets. Prefer waiting for alignment instead.
C) Breakout with confirmation
• OB: BULLISH BRK of a known resistance
• Trendline/Channel: UPPER BRK
• Volume: spike with up bar
• Supertrend: recently flipped up
Plan: Enter on retest or structured continuation; define stop under breakout level.
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Common pitfalls to avoid
• Acting on one section alone. Confluence matters.
• Chasing after long candles without volume follow-through.
• Ignoring timeframe alignment. Check the next higher timeframe.
• Oversizing trades just because “Summary = Strong Buy/Sell.”
• Moving stops farther instead of accepting a planned loss.
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Practice & evaluation routine
1. Replay mode (TradingView Bar Replay) to practice reading the tiles in order.
2. Journal each trade: which sections agreed, where stop/target were, outcome.
3. Weekly review: Were losing trades missing confirmation? Did you respect size rules?
4. Iterate cautiously: Change one setting at a time and observe for a week.
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Frequently asked questions
Q: Is the Summary score weighted?
A: Each sub-signal contributes small integers; totals from Oscillators, MAs, and Advanced sections are added without fancy weighting, keeping it transparent.
Q: Can I use this as a standalone system?
A: It’s best used as a decision support layer with your own risk rules, not as a mechanical “buy/sell” machine.
Q: Which timeframe is best?
A: The one that matches your holding period. Always confirm with at least one higher timeframe.
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Suggested classroom flow (for teaching)
1. Session 1: Oscillators only → identify good vs stretched momentum.
2. Session 2: Moving Averages → trend structure and bias.
3. Session 3: OB + Trendline/Channel → location and breakouts.
4. Session 4: Supertrend + Volume → confirmation and participation.
5. Session 5: Confluence building → case studies and journaling.
6. Session 6: Risk management, sizing, and review habits.
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Disclaimer aiTrendview (please read)
This indicator and study material are provided for educational and research purposes only. They do not constitute financial advice, investment recommendations, or a promise of performance. Trading involves substantial risk and may result in losses. Past performance of any method or indicator does not guarantee future results. You are solely responsible for your trading decisions, including risk management, position sizing, and due diligence. Always test ideas in a demo environment before using real capital, and consider consulting a licensed financial advisor.
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context.
🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision.
// Gate Keeper: ADX determines market type
is_trending = adx_value > adx_trend_threshold
is_ranging = adx_value <= adx_trend_threshold
is_maximum_chop = adx_value <= adx_chop_threshold
// BULL CONDITIONS with Structure Veto
if price_above_ema and di_bullish
if use_structure_filter and isBullStructure
raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure
else if use_structure_filter and not isBullStructure
raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure
🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups.
🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework.
// Define Market Structure (Bull = HH/HL, Bear = LL/LH)
isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_high > prev_significant_high and last_significant_low > prev_significant_low
isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_low < prev_significant_low and last_significant_high < prev_significant_high
🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations.
🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events.
// === CRASH OVERRIDE (Active Penalties) ===
is_crash = roc_value < crash_threshold
if is_crash
// Calculate crash severity
crash_severity = math.abs(roc_value / crash_threshold)
crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0
// ACTIVE PENALTIES: Force bear dominance
raw_bearScore := math.max(raw_bearScore, crash_bonus)
raw_bullScore := -5.0 // ACTIVE PENALTY
raw_chopScore := -5.0 // ACTIVE PENALTY
❓How It Works
🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods.
🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification.
🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency.
🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information.
🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth.
Why Choose Market Regime Matrix ?
The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
Moving Average Volume (20, 50)Shows two moving averages of volume, the 20 and 50 periods.
white bars in the background show volume, look for breaks of the target lines to confirm a breakout with volume
green shaded regions show how much higher the current volume is compared to historical volume
the greener the shade, the higher the multiple is (cap is 10x higher)
indicator is to be used with other breakout identifiers, or to help confirm the strength of a move out of an SAR level.
Live Market - Performance MonitorLive Market - Performance Monitor – Study Material & Usage Guide
Overview:
The Live Market - Performance Monitor is a multi-layered TradingView indicator that assists traders in identifying high-probability setups by combining key technical elements: order block detection, dynamic trendline analysis, volume and volatility filtering, signal validation, and ATR-based target projection. This guide provides the essential logic, formulas, and practical steps to help users apply the system effectively.
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Key Functional Features and Formulas
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1. Order Block Detection
The indicator identifies price zones where strong institutional buying or selling has likely occurred, based on candle sequences.
• User Input: Number of consecutive candles to define relevance (e.g., 3–7 bars)
• Validation Formula:
• Price Move % = |Close(n) - Close(1)| / Close(n) × 100
• Bullish Order Block: A bearish candle followed by consecutive bullish candles
• Bearish Order Block: A bullish candle followed by consecutive bearish candles
Only valid zones that meet a minimum price move threshold are retained and plotted.
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2. Trendline Logic
Trendlines are dynamically plotted using price pivots.
• Pivot Calculation: Highs and lows over a lookback period (e.g., 10 bars)
• Trendline Slope:
• Slope = (Pivot_new - Pivot_old) / (Time_new - Time_old)
• Trendline Projection:
• Projected Price = StartPrice + Slope × (CurrentTime - StartTime)
These lines act as dynamic support/resistance zones and are used to confirm breakout trades.
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3. Volume and ATR Filters
Signals are filtered using real-time volume and volatility analysis to eliminate low-quality setups.
• Average Volume:
• AvgVol = SMA(Volume, 20)
• Volume Spike Condition:
• Volume > AvgVol × VolumeThreshold
• ATR (Volatility Filter) – Calculated using 14-bar period:
• (High - Low) > ATR × ATRMultiplier
When both filters are passed, the market is considered active and valid for trade.
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4. Signal Generation Logic
• Bullish Signal: Triggered when:
o Price breaks above a resistance zone or bullish order block
o Volume and ATR filters confirm activity
o Trend alignment: EMA9 > EMA21 > EMA50
• Bearish Signal: Triggered under opposite conditions:
o Price breaks below a support zone or bearish order block
o Trend alignment: EMA9 < EMA21 < EMA50
Labels such as "BUY" or "SELL" appear on the chart at the trigger candle.
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5. Target and Stop Loss Projection
The script dynamically calculates TP (take profit) and SL (stop loss) levels based on the ATR.
• For Long Trades:
• TP = High + (ATR × 2)
• SL = Low - (ATR × 1)
• For Short Trades:
• TP = Low - (ATR × 2)
• SL = High + (ATR × 1)
These levels are plotted on the chart and adjust as price evolves.
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6. Performance Tracking
The script automatically tracks wins and losses for each signal based on TP/SL outcomes.
• Win Rate Formula:
• Win Rate (%) = (Number of Wins / Total Signals) × 100
This is useful for evaluating the system over time and adjusting risk or position sizing.
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Practical Usage Steps
1. Apply the Indicator
o Add to your chart via Pine Editor or Indicators menu.
o Configure all input parameters including OB periods, pivot lookback, volume threshold, and ATR multiplier.
2. Signal Monitoring
o Wait for a "BUY" or "SELL" label to appear on the chart.
o Confirm alignment using:
EMA trend stacking (e.g., EMA9 > EMA21 > EMA50)
RSI/MACD momentum
Volume and ATR filters
3. Trade Execution
o Enter the trade on the candle following the signal.
o Use the plotted TP/SL lines to manage the trade.
o Monitor price action; exit if trend shifts or targets are achieved.
4. Review Performance
o Use the win rate and PnL counters to monitor your success.
o Analyze losing trades for trend or filter failures and optimize settings accordingly.
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Alerts
The script includes alert support for:
• Signal Triggers: BUY or SELL label detection
• Take Profit / Stop Loss Hits: Automatically notifies when TP or SL is reached
These can be configured for push, email, or webhook delivery via TradingView alert settings.
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Disclaimer from aiTrendview
This tool and the content provided by aiTrendview.com are for educational and research purposes only. They do not constitute investment advice, trading recommendations, or financial guidance. All forms of trading involve significant risk. Past performance does not guarantee future outcomes. Users are fully responsible for their trading decisions, including risk management, position sizing, and due diligence. It is strongly advised to test all strategies on a demo account before applying them to live capital. Consult a licensed financial advisor if necessary.
Signal Strength Technical AnalysisSignal Strength Technical Analysis – Study Material & Usage Guide
Overview:
This tool is a multi-layered TradingView indicator developed to help traders identify high-probability trade setups using order block detection, dynamic trendlines, volume and volatility filters, and ATR-based target projections. This guide outlines each feature, its formulaic foundation, and how to use the tool effectively in live markets.
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Key Features and How to Use Them
1. Order Block Detection:
The script identifies institutional-level buying/selling zones using sequences of directional candles.
• You define the number of consecutive candles to qualify an order block.
• A move qualifies as an order block if:
• Price Move % = |Close(n) - Close(1)| / Close(n) × 100 ≥ Threshold
• Bullish Order Block: A down candle followed by multiple up candles.
• Bearish Order Block: An up candle followed by multiple down candles.
These blocks are plotted and used for trade entry confirmation and support/resistance analysis.
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2. Trendline Logic:
Support and resistance lines are drawn dynamically using pivots.
• Pivot highs/lows are identified over a user-defined period (e.g., 10 bars).
• Trendline slope is calculated using:
• Slope = (Pivot_new - Pivot_old) / (Time_new - Time_old)
• Current projected support or resistance:
• Price = StartPrice + Slope × (CurrentTime - StartTime)
Breakouts beyond these levels are interpreted as potential trade signals when confirmed by other filters.
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3. Volume and ATR Filters:
These filters help eliminate weak or low-conviction signals.
• Average Volume:
• AvgVol = SMA(Volume, 20)
• Volume Spike Detection:
• Volume > AvgVol × VolumeThreshold
• ATR Volatility Filter (ATR over 14 bars):
• (High - Low) > ATR × ATRMultiplier
If both filters pass, the market is considered active and eligible for trade setup.
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4. Signal Generation Logic:
• Bullish Signal: Triggered when:
o Price breaks above resistance or a bullish order block
o Volume and ATR filters are passed
o Trend is confirmed: EMA9 > EMA21 > EMA50
• Bearish Signal: Triggered when:
o Price breaks below support or a bearish order block
o Volume and ATR filters are passed
o Trend is confirmed: EMA9 < EMA21 < EMA50
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5. Target and Stop Loss Projection:
Based on the Average True Range (ATR):
• For Long Trades:
• TP = High + (ATR × 2)
• SL = Low - (ATR × 1)
• For Short Trades:
• TP = Low - (ATR × 2)
• SL = High + (ATR × 1)
Targets and stops are plotted on the chart and update dynamically.
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6. Trade Management and Win Rate Calculation:
• Once in a trade, the script monitors price:
o Hits TP → Recorded as win
o Hits SL → Recorded as loss
• Win Rate Calculation:
• Win Rate = (Wins / Total Signals) × 100%
This helps track the strategy's live effectiveness and improve decision-making.
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How to Use the Indicator – Practical Steps
1. Setup
o Add the indicator to your TradingView chart
o Configure OB periods, trendline pivots, volume and ATR multipliers
o Adjust display preferences
2. Wait for Signal
o Look for a “BUY” or “SELL” label to appear
o Confirm with:
EMA trend alignment
RSI and MACD momentum
Volume and ATR filters
3. Execute Trade
o Enter on the next bar after confirmation
o Use the plotted TP/SL levels as risk management
o Adjust position sizing according to your trading rules
4. Manage Trade
o Monitor PnL and win rate live
o Exit manually or let price hit TP/SL
o Respect the indicator’s environment reading (avoid trading in low-volatility or sideways zones)
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Alerts and Automation
• The script includes built-in alert conditions for:
o Buy/Sell signal confirmation
o Take-profit level reached
o Stop-loss triggered
Enable alerts in TradingView to receive real-time notifications to your mobile, email, or connected services.
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Disclaimer from aiTrendview
This tool is provided for educational and research purposes only. It is not intended as financial advice or an investment recommendation. Trading in financial markets involves substantial risk. Past performance does not guarantee future results. The user alone is responsible for all trading decisions, including risk management and strategy selection. We strongly recommend testing this tool on a demo account before applying it to real capital and consulting a licensed financial advisor where necessary.
Volume Imbalance# Volume Imbalance Indicator
## Description
The Volume Imbalance Indicator is a technical analysis tool that measures the imbalance between bullish and bearish volume over a specified period. This indicator helps traders identify the prevailing market sentiment and potential reversal points.
## How It Works
The indicator analyzes trading volume for each candle:
- **Bull Volume** - volume of candles where the closing price is higher than the opening price (green candles)
- **Bear Volume** - volume of candles where the closing price is lower than the opening price (red candles)
- **Imbalance** is calculated as the difference between the sum of bull volume and bear volume over the set period
## Signal Interpretation
- **Positive values (green histogram)** - bullish volume dominates, indicating buyer strength
- **Negative values (red histogram)** - bearish volume dominates, indicating seller strength
- **Zero line** - equilibrium between buyers and sellers
## Trading Applications
1. **Trend Confirmation** - imbalance in the direction of the trend confirms its strength
2. **Divergence Analysis** - divergence between price and indicator may signal potential reversals
3. **Accumulation/Distribution Zones** - prolonged periods of imbalance indicate large player activity
## Settings
- **Period** - number of candles for calculating the imbalance (default: 20)
## Features
- Displays in a separate panel below the main chart
- Histogram format for better visualization
- Color coding: green for bullish imbalance, red for bearish imbalance
- Suitable for all timeframes and trading instruments
This indicator is particularly effective when combined with other technical analysis tools for comprehensive market assessment.
Volume Pressure Analysis - Live DataVolume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide
This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour.
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Key Functional Segments
1. Inputs and Configuration
Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts.
2. Volume Data Calculations
The indicator calculates three key volume metrics:
• volToday: The current day’s volume.
• volAvg: The average volume over the user-defined SMA period (default is 20 bars).
• volPct: The current volume as a percentage of the average.
This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness.
3. Volume Pressure Calculation
The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session.
4. Visual Representation (Progress Bars)
The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth.
5. Table Display
A compact table is drawn on the chart showing:
• Buy pressure percentage and corresponding bar.
• Sell pressure percentage and corresponding bar.
• Volume percentage compared to the recent average.
This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays.
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How Traders Benefit from This Indicator
• Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction.
• Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves.
• False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries.
• Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive.
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Basic Usage Guide
1. Add the script to your TradingView chart and set your preferred SMA length for volume comparison.
2. Customize the table’s position using the X and Y settings for clarity and alignment.
3. Interpret the outputs:
o A higher red bar indicates dominant sell pressure.
o A higher green bar indicates dominant buy pressure.
o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction.
4. Apply to trading decisions:
o High buy pressure and high volume may indicate a strong long opportunity.
o High sell pressure and high volume may support short setups.
o Low volume or conflicting signals may call for caution.
5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups.
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Practical Example
• Sell Pressure: 70% → Suggests strong seller control; potential for short setups.
• Buy Pressure: 30% → Weak buying interest; long trades may carry risk.
• Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity.
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Tips for New Traders
• Use this indicator as a confirmation tool rather than a standalone strategy.
• Begin on higher timeframes (4-hour or daily) to develop familiarity.
• Compare multiple examples to identify reliable patterns over time.
• Always incorporate proper risk management, including stop losses.
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Disclaimer from aiTrendview
This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
Volume Pressure Gauge + Volume %Volume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide
This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour.
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Key Functional Segments
1. Inputs and Configuration
Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts.
2. Volume Data Calculations
The indicator calculates three key volume metrics:
• volToday: The current day’s volume.
• volAvg: The average volume over the user-defined SMA period (default is 20 bars).
• volPct: The current volume as a percentage of the average.
This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness.
3. Volume Pressure Calculation
The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session.
4. Visual Representation (Progress Bars)
The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth.
5. Table Display
A compact table is drawn on the chart showing:
• Buy pressure percentage and corresponding bar.
• Sell pressure percentage and corresponding bar.
• Volume percentage compared to the recent average.
This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays.
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How Traders Benefit from This Indicator
• Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction.
• Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves.
• False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries.
• Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive.
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Basic Usage Guide
1. Add the script to your TradingView chart and set your preferred SMA length for volume comparison.
2. Customize the table’s position using the X and Y settings for clarity and alignment.
3. Interpret the outputs:
o A higher red bar indicates dominant sell pressure.
o A higher green bar indicates dominant buy pressure.
o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction.
4. Apply to trading decisions:
o High buy pressure and high volume may indicate a strong long opportunity.
o High sell pressure and high volume may support short setups.
o Low volume or conflicting signals may call for caution.
5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups.
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Practical Example
• Sell Pressure: 70% → Suggests strong seller control; potential for short setups.
• Buy Pressure: 30% → Weak buying interest; long trades may carry risk.
• Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity.
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Tips for New Traders
• Use this indicator as a confirmation tool rather than a standalone strategy.
• Begin on higher timeframes (4-hour or daily) to develop familiarity.
• Compare multiple examples to identify reliable patterns over time.
• Always incorporate proper risk management, including stop losses.
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Disclaimer from aiTrendview
This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
Professional Technical Analysis DashboardProfessional Technical Analysis Dashboard – Complete Guide
This script is an advanced technical analysis dashboard built in Pine Script v5. It integrates 16 widely used technical indicators into a single, structured display designed for traders who need a consolidated view of market sentiment. The dashboard is divided into three key sections – Summary, Oscillators, and Moving Averages – enabling users to assess momentum, trends, and overall market bias in real-time.
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Technical Foundation and Methodology
Summary Section – Combined Market Signal
The Summary section aggregates all 16 indicators (8 oscillators and 8 moving averages) to generate a combined score that reflects market sentiment. Each indicator contributes equally to the score. The combined signal ranges from -16 (strong sell) to +16 (strong buy), with thresholds defining zones such as Strong Buy, Buy, Neutral, Sell, and Strong Sell. This approach allows traders to quickly interpret overall market conditions without analyzing each indicator individually.
Oscillators Section – Momentum Analysis
This section tracks short-term momentum and overbought/oversold conditions using eight oscillators: RSI, Stochastic Oscillator, CCI, Williams %R, MACD, Momentum, Rate of Change (ROC), and Bollinger Bands. Each oscillator follows its conventional logic (e.g., RSI > 70 indicating overbought conditions) and is displayed alongside a visual indicator for quick assessment. This section is particularly effective for identifying potential reversals or timing short-term trades in range-bound markets.
Moving Averages Section – Trend Analysis
The trend analysis section uses five Simple Moving Averages (SMA 10, 20, 50, 100, 200) and three Exponential Moving Averages (EMA 10, 20, 50) to assess trend direction and strength across multiple timeframes. Price is compared to each moving average to determine a bullish, neutral, or bearish signal. For example, a price well above the 200-day SMA indicates a strong long-term uptrend.
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How to Use the Dashboard
Setup:
1. Paste the script into TradingView’s Pine Editor.
2. Add it to your chart.
3. Choose a timeframe suited to your strategy (e.g., 5–15 minutes for scalping, 1 hour for day trading, daily for long-term analysis).
4. Configure visual preferences such as table size and color scheme from the settings menu.
Signal Interpretation:
• A "Strong Buy" in the Summary combined with bullish Oscillators and Moving Averages suggests a high-probability long setup.
• Conflicting signals (e.g., bullish Summary but bearish Oscillators) may warrant waiting for alignment before taking a position.
• Position sizing can be adjusted based on the intensity of the combined signals.
Trading Strategies:
• Confirmation Trading: Enter trades only when all three sections align in the same direction.
• Scalping: Use oscillators for overbought/oversold setups, combined with short-term moving averages for trend confirmation.
• Trend Following: Use the Moving Averages section to identify sustained directional bias and follow pullbacks signaled by oscillators.
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Risk Management Guidelines
The dashboard is not a trading system but an analytical tool. Users can enhance their risk management by:
• Allocating capital based on signal strength (e.g., stronger signals justify slightly larger positions).
• Using stop losses tied to volatility or moving averages.
• Reducing position size during conflicting signals or low-confidence readings.
• Avoiding trades when signals are below 50% strength or in mixed zones.
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Best Practices and Common Pitfalls
• Always wait for confirmation across sections before entering trades.
• Avoid over-leveraging based on a single signal.
• Use appropriate timeframes – intraday traders should rely on shorter timeframes, while swing traders may focus on hourly or daily charts.
• Keep a trading journal to monitor the effectiveness of signals and refine strategies over time.
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Disclaimer from aiTrendview
This script is intended solely for educational and informational purposes. It does not provide investment advice, trading signals, or guaranteed outcomes. aiTrendview and its affiliates are not liable for any financial losses incurred while using this script. All trading involves risk, and past performance of any technical indicator does not guarantee future results. Users are strongly advised to conduct independent research or consult with a licensed financial advisor before making any trading decisions.
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.
Trend Strength Index [Alpha Extract]The Trend Strength Index leverages Volume Weighted Moving Average (VWMA) and Average True Range (ATR) to quantify trend intensity in cryptocurrency markets, particularly Bitcoin. The combination of VWMA and ATR is particularly powerful because VWMA provides a more accurate representation of the market's true average price by weighting periods of higher trading volume more heavily—capturing genuine momentum driven by increased participation rather than treating all price action equally, which is crucial in volatile assets like Bitcoin where volume spikes often signal institutional interest or market shifts.
Meanwhile, ATR normalizes this measurement for volatility, ensuring that trend strength readings remain comparable across different market conditions; without ATR's adjustment, raw price deviations from the mean could appear artificially inflated during high-volatility periods (like during news events or liquidations) or understated in low-volatility sideways markets, leading to misleading signals. Together, they create a volatility-adjusted, volume-sensitive metric that reliably distinguishes between meaningful trend developments and noise.
This indicator measures the normalized distance between price and its volume-weighted mean, providing a clear visualization of trend strength while accounting for market volatility. It helps traders identify periods of strong directional movement versus consolidation, with color-coded gradients for intuitive interpretation.
🔶 CALCULATION
The indicator processes price data through these analytical stages:
Volume Weighted Moving Average: Computes a smoothed average weighted by trading volume
Volatility Normalization: Uses ATR to account for market volatility
Distance Measurement: Calculates absolute deviation between current price and VWMA
Strength Normalization: Divides price deviation by ATR for a volatility-adjusted metric
Formula:
VWMA = Volume-Weighted Moving Average of Close over specified length
ATR = Average True Range over specified length
Price Distance = |Close - VWMA|
Trend Strength = Price Distance / ATR
🔶 DETAILS Visual Features:
VWMA Line: Blue line overlay on the price chart representing the volume-weighted mean
Trend Strength Area: Histogram-style area plot with dynamic color gradient (red for weak trends, transitioning through orange and yellow to green for strong trends)
Threshold Line: Horizontal red line at the customizable Trend Enter level
Background Highlight: Subtle green background when trend strength exceeds the enter threshold for strong trend visualization
Alert System: Triggers notifications for strong trend detection
Interpretation:
0-Weak (Red): Minimal trend strength, potential consolidation or ranging market
Mid-Range (Orange/Yellow): Building momentum, watch for breakout potential
At/Above Enter Threshold (Green): Strong trend conditions, potential for continued directional moves
Threshold Crossing: Trend strength crossing above the enter level signals increasing conviction in the current direction
Color Transitions: Gradual shifts from warm (red/orange) to cool (green) tones indicate strengthening trends
🔶 EXAMPLES
Strong Trend Entry: When trend strength crosses above the enter threshold (e.g., 1.2), it identifies the onset of a powerful move where price deviates significantly from the mean.
Example: During a rally, trend strength rising from yellow (around 1.0) to green (1.2+) often precedes sustained upward momentum, providing entry opportunities for trend followers.
Consolidation Detection: Low trend strength values in red shades (below 0.5) highlight periods of low volatility and mean reversion potential.
Example: After a sharp sell-off, persistent red values signal a likely sideways phase, allowing traders to avoid whipsaws and wait for orange/yellow transitions as a precursor to recovery.
Volatility-Adjusted Pullbacks: In volatile markets, the ATR component ensures trend strength remains accurate; a dip back to yellow from green during minor corrections can indicate healthy pullbacks within a strong trend.
Example: Trend strength briefly falling to yellow levels (e.g., 0.8-1.1) after hitting green provides profit-taking signals without invalidating the overall bullish bias if the VWMA holds as support.
Threshold Alert Integration: The alert condition combines strength value with the enter threshold for timely notifications.
Example: Receiving a "Strong Trend Detected" alert when the area plot turns green helps confirm Bitcoin's breakout from consolidation, aligning with increased volume for higher-probability trades.
🔶 SETTINGS
Customization Options:
Lengths: VWMA length (default 14), ATR length (default 14)
Thresholds: Trend enter (default 1.2, step 0.1), trend exit (default 1.15, for potential future signal enhancements)
Visuals: Automatic color scaling with red at 0, transitioning to green at/above enter threshold
Alert Conditions: Strong trend detection (when strength > enter)
The Trend Strength Index equips traders with a robust, easy-to-interpret tool for gauging trend intensity in volatile markets like Bitcoin. By normalizing price deviations against volatility, it delivers reliable signals for identifying high-momentum opportunities while the gradient coloring and alerts facilitate quick assessments in both trending and choppy conditions.
Heikin Ashi VolumeHeikin Ashi candles decrease market noise so that broader trends can be more easily visualized. In a typical chart utilizing Heikin Ashi candles, volume bars are colored in such a way that they also allow for the visualization of trends during a bullish/bearish move.
The Heikin Ashi Volume indicator allows the trader to continue to use the same volume bar coloring technique to visualize trends without having to utilize the Heikin Ashi candles, since a Heikin Ashi candle’s OHLC values are not true prices but instead based on calculations in order to provide the ‘denoising’ effect they are known for.
In addition to providing the Heikin Ashi Volume coloring effects, the Heikin Ashi Volume indicator also allows the user to set a volume threshold level where the bar colors will be darker unless volume is beyond that threshold, helping traders quickly determine if there is enough participation in the market at that time to justify taking risk in a trade when the market isn’t very active. The user has the option to show or hide the threshold line, change the colors of the bullish/bearish colors (for both above and below threshold volumes) and the option for the indicator to gradually brighten the bar colors are they approach the threshold instead of having a clear line of demarcation showing volume above or below the set threshold.
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal.
Purpose of the Indicator
MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior.
Why a Trader Should Use It
Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky.
Why These Components Were Chosen
Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise.
Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1.
Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale.
Market Mode (Regime) : Based on those ranks, MERV classifies the market:
Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity.
Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market.
Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy.
The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral.
Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions.
What Makes MERV Stand Out
Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique.
Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers.
Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds.
Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals.
Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other.
Recommended Timeframes
MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice:
Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends.
Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles.
Scalpers might find MERV too “slow” unless input lengths are set very low.
In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas.
How the Scoring/Logic Works (Step-by-Step)
Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy.
Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are.
Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on .
Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line.
Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action.
Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value.
Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only.
Oscillator Plot – How to Read It
The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element:
Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed.
Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength.
Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close.
Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero.
Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable.
Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime.
Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star).
Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance.
Dashboard (Fixed Corner Panel)
MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows:
Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high).
Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line.
Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle.
Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly.
Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color.
Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low.
Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe.
In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state.
Real-Life Example
Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case.
Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve.
Example: How It Looks in Action
Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m)
What it means:
The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume.
Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h)
What it means:
This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success.
Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m)
What it means:
The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping.
Settings and Inputs
The script is fully open-source; here are key inputs the user can adjust:
Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity.
Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect.
Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action.
Show Heatmap : Toggles the entropy background coloring on/off.
Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red).
Show Mode Bar : Turn the bottom mode bar on/off.
Show Dashboard : Turn the fixed table panel on/off.
Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired.
Oscillator Interpretation (Recap)
Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile).
Fill : Orange tinted area between them (for visual emphasis).
Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom).
Star Line : White star = ideal conditions, Gold = good but not ideal.
Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric.
Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly.
Disclaimer
This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly.
-BullByte
Volume Bars - Shubhashish DixitThis helps you to identify volume based on your given period and it solves the issues which we are unable to see units in the main bar of Volume default chart
VOLUME Simple [Titans_Invest]VOLUME Simple
A streamlined volume analysis tool crafted for simplicity and smart signal detection.
Although simple in appearance, this indicator brings intelligent volume-based entries through configurable logic. Its design emphasizes clean and effective interpretation of volume signals.
⯁ WHAT IS THE VOLUME INDICATOR❓
The Volume indicator is a fundamental technical analysis tool that measures the number of shares or contracts traded in a security or market during a given period. It helps traders and investors understand the strength or weakness of a price movement, confirm trends, and predict potential reversals. Volume is typically displayed as a histogram below a price chart, with each bar representing the volume traded during a specific time interval.
⯁ HOW TO USE THE VOLUME❓
The Volume indicator can be used in several ways to enhance trading decisions:
• Trend Confirmation: High volume during a price move confirms the strength of that trend, while low volume can indicate a weak or unsustainable trend.
• Breakouts: A price breakout from a pattern or range accompanied by high volume is more likely to be valid and sustainable.
• Divergence: When the price moves in one direction and volume moves in the opposite direction, it can signal a potential reversal.
• Overbought/Oversold Conditions: Extreme volume levels can sometimes indicate that an asset is overbought or oversold, though this is less straightforward than with oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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▪︎ Signal Validity: The signal will remain valid for X bars .
🔹 volume > volume_MA * Trigger Signal (close > open)
🔹 volume > volume_MA * Trigger Signal (Keep State)
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🔸 CONDITIONS TO SELL 📉
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▪︎ Signal Validity: The signal will remain valid for X bars .
🔸 volume > volume_MA * Trigger Signal (close > open)
🔸 volume > volume_MA * Trigger Signal (Keep State)
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Signal Validity: The signal will remain valid for X bars
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : VOLUME Simple
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Choch Pattern Levels [BigBeluga]🔵 OVERVIEW
The Choch Pattern Levels indicator automatically detects Change of Character (CHoCH) shifts in market structure — crucial moments that often signal early trend reversals or major directional transitions. It plots the structural break level, visualizes the pattern zone with triangle overlays, and tracks delta volume to help traders assess the strength behind each move.
🔵 CONCEPTS
CHoCH Pattern: A bullish CHoCH forms when price breaks a previous swing high after a swing low, while a bearish CHoCH appears when price breaks a swing low after a prior swing high.
Break Level Mapping: The indicator identifies the highest or lowest point between the pivot and the breakout, marking it with a clean horizontal level where price often reacts.
Delta Volume Tracking: Net bullish or bearish volume is accumulated between the pivot and the breakout, revealing the momentum and conviction behind each CHoCH.
Chart Clean-Up: If price later closes through the CHoCH level, the zone is automatically removed to maintain clarity and focus on active setups only.
🔵 FEATURES
Automatic CHoCH pattern detection using pivot-based logic.
Triangle shapes show structure break: pivot → breakout → internal high/low.
Horizontal level marks the structural zone with a ◯ symbol.
Optional delta volume label with directional sign (+/−).
Green visuals for bullish CHoCHs, red for bearish.
Fully auto-cleaning invalidated levels to reduce clutter.
Clean organization of all lines, labels, and overlays.
User-defined Length input to adjust pivot sensitivity.
🔵 HOW TO USE
Use CHoCH levels as early trend reversal zones or confirmation signals.
Treat bullish CHoCHs as support zones, bearish CHoCHs as resistance.
Look for high delta volume to validate the strength behind each CHoCH.
Combine with other BigBeluga tools like supply/demand, FVGs, or liquidity maps for confluence.
Adjust pivot Length based on your strategy — shorter for intraday, longer for swing trading.
🔵 CONCLUSION
Choch Pattern Levels highlights key structural breaks that can mark the start of new trends. By combining precise break detection with volume analytics and automatic cleanup, it provides actionable insights into the true intent behind price moves — giving traders a clean edge in spotting early reversals and key reaction zones.
VWAP Volume Profile [BigBeluga]🔵 OVERVIEW
VWAP Volume Profile is an advanced hybrid of the VWAP and volume profile concepts. It visualizes how volume accumulates relative to VWAP movement—separating rising (+VWAP) and declining (−VWAP) activity into two mirrored horizontal profiles. It highlights the dominant price bins (POCs) where volume peaked during each directional phase, helping traders spot hidden accumulation or distribution zones.
🔵 CONCEPTS
VWAP-Driven Profiling: Unlike standard volume profiles, this tool segments volume based on VWAP movement—accumulating positive or negative volume depending on VWAP slope.
Dual-Sided Profiles: Profiles expand horizontally to the right of price. Separate bins show rising (+) and falling (−) VWAP volume.
Bin Logic: Volume is accumulated into defined horizontal bins based on VWAP’s position relative to price ranges.
Gradient Coloring: Volume bars are colored with a dynamic gradient to emphasize intensity and direction.
POC Highlighting: The highest-volume bin in each profile type (+/-) is marked with a transparent box and label.
Contextual VWAP Line: VWAP is plotted and dynamically colored (green = rising, orange = falling) for instant trend context.
Candle Overlay: Price candles are recolored to match the VWAP slope for full visual integration.
🔵 FEATURES
Dual-sided horizontal volume profiles based on VWAP slope.
Supports rising VWAP , falling VWAP , or both simultaneously.
Customizable number of bins and lookback period.
Dynamically colored VWAP line to show rising/falling bias.
POC detection and labeling with volume values for +VWAP and −VWAP.
Candlesticks are recolored to match VWAP bias for intuitive momentum tracking.
Optional background boxes with customizable styling.
Adaptive volume scaling to normalize bar length across markets.
🔵 HOW TO USE
Use POC zones to identify high-volume consolidation areas and potential support/resistance levels.
Watch for shifts in VWAP direction and observe how volume builds differently during uptrends and downtrends.
Use the gradient profile shape to detect accumulation (widening volume below price) or distribution (above price).
Use candle coloring for real-time confirmation of VWAP bias.
Adjust the profile period or bin count to fit your trading style (e.g., intraday scalping or swing trading).
🔵 CONCLUSION
VWAP Volume Profile merges two essential concepts—volume and VWAP—into a single, high-precision tool. By visualizing how volume behaves in relation to VWAP movement, it uncovers hidden dynamics often missed by traditional profiles. Perfect for intraday and swing traders who want a more nuanced read on market structure, trend strength, and volume flow.
High Volume Buyers/Sellers+High Volume Buyers/Sellers+
This indicator helps traders spot bars where unusually high or extreme volume occurs, indicating strong buying or selling pressure.
How it works:
Calculates a volume moving average (SMA) over a user-defined period.
Marks bars where the current volume exceeds:
High Volume Multiplier → small green circle (bullish) or red circle (bearish).
Extreme Volume Multiplier → small green up-triangle (bullish) or red down-triangle (bearish).
Settings:
Volume MA Period → Number of bars used to calculate the average volume.
High Volume Multiplier → Threshold to define high volume.
Extreme Volume Multiplier → Threshold to define extreme volume.
Show Extreme Volume Signals → Option to enable or disable extreme volume markers.
Usage tips:
Apply this indicator on a clean chart to visually highlight momentum bursts or exhaustion points.
It works well for both intraday and swing trading strategies where volume confirmation matters.
⚠ Note: This script only displays on-chart markers and does not plot any lines or indicators.
Volume Peak LineA fully configurable “Volume Peak Line” indicator that draws a horizontal threshold at the highest volume over the last X candles (default 5).
Custom lookback (X volume candles)
Optional alert when current volume exceeds that peak
Separate up/down volume bars (green/red) or hide them to use your own volume overlays
Use it to spot surges in trading activity on any timeframe—ideal for intraday or swing setups where a barn-burner volume bar can signal a reversal or the start of a new trend.
