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MMM Flipper @MaxMaserati 3.0The MMM Flipper identifies zones where market control shifts between buyers and sellers. It detects aggressive moves that fail, followed by counter-reactions from the opposing side, marking these areas as potential reversal or reaction zones. When the opposing side responds with their own aggression, it marks these areas as potential reversal or reaction zones. 📊 How It Works Aggressive Movement Detection Bullish Body Close (BuBC): Price closes above previous high - Aggressive Buyers Bearish Body Close (BeBC): Price closes/ below previous low - Aggressive Sellers Failed Aggression Creates Opportunity When aggression fails to sustain (doesn't fully close beyond the level), it reveals weakness and creates a setup. Counter-Reaction Marks The Zone (PO4 Block) When the opposing side responds aggressively, the failed aggression candle becomes a marked zone: Failed BuBC → BeBC response = Bearish PO4 Block (sellers took control) Failed BeBC → BuBC response = Bullish PO4 Block (buyers took control) H1 PO4 view in M5 🎨 What PO4 Blocks Represent Purple & Cyan boxes mark areas where: One side showed aggression but failed, and the counterpart responded and took control. Price may reverse, continue, or retest later. Think of them as: Areas of institutional interest, proven support/resistance zones, or control shift points. Expander Breaker (DEFAULT) Requires counter-reaction to fully close beyond the failed candle confirming that price expanded and completely absorb and overtake the opposite side. Stricter: Both expansion AND complete break required Fewer but higher probability signals Only Expander Creates zones immediately on first counter-reaction No close requirement needed More zones, earlier signals 🎯 MMM Swing High/Low (Proprietary Logic) 3-Candle Confirmation System that identifies strong, validated swing points: MMM Swing High: Confirmed after 3 consecutive BeBC candles (sustained bearish aggression) MMM Swing Low: Confirmed after 3 consecutive BuBC candles (sustained bullish aggression) Why 3 candles? Ensures it's not noise—requires sustained directional movement proving true aggressiveness and market control. CDL/CDS Signals CDL: Price breaks above MMM Swing High → Bullish control shift CDS: Price breaks below MMM Swing Low → Bearish control shift These mark major structural changes in market direction. USE CASE PO4 block forms (counter-reaction confirms shift) Wait for price to return to the zone Look for rejection or support/resistance Enter in direction of the counter-reaction Risk Management: Use failed aggression candles as stop-loss levels Zone invalidated if price fully breaks through Price Behavior: Immediate: Price respects zone right away Continuation: Keeps moving in counter-reaction direction Later Retest: Returns to test zone hours/days later Market has memory - these zones remain relevant over time. 🔄 Multi-Timeframe Analysis Two independent timeframes (TF1 & TF2) allow you to: See higher timeframe structure on lower timeframe charts Identify confluence zones Align trades with larger market forces 📝 Summary The MMM Flipper reveals the battle between buyers and sellers: One side shows aggression That aggression fails or succeeds The counterpart responds with their own aggression A zone of control/reaction is marked These zones represent where market dynamics shifted—powerful for identifying reversals, continuations, and key support/resistance. The proprietary MMM Swing logic ensures you're seeing true structural significance, not random noise.
Chỉ báo Pine Script®
của MaxMaserati
Institutional Dominance & Trapped Trader @MaxMaserati 3.0 Institutional Dominance & Trapped Trader Delta Profile @MaxMaserati 3.0 ═════════════════════════════════════════════════════════════ Overview The IDT Auction Profile is a professional-grade volume order flow analysis tool that reveals where institutional traders hold Positional Advantage and where retail participants are Trapped. Unlike traditional Volume Profile indicators, the IDT Profile integrates Volume Point Delta (VPD) analysis with advanced pattern recognition to identify the exact price levels where profitable institutional positions create support/resistance, and where losing positions are forced to exit. This indicator answers the critical questions: Who is in profit? Who is trapped? And where will they defend or exit their positions? ═════════════════════════════════════════════════════════════ Core Concept: Dominance vs Trapped Positioning ════════════════════════════════════════════════════════════TThe indicator categorizes all market participants into two strategic positions based on their entry price relative to current market price: Above Current Price (Resistance Zones) 🔴 Aggressive Sellers in Profit - Sold higher, currently winning. Will defend positions or add to winners. 🟥 Trapped Buyers at Loss - Bought higher, currently losing. Must exit at breakeven, creating resistance. Below Current Price (Support Zones) 🟢 Aggressive Buyers in Profit - Bought lower, currently winning. Will defend positions or add to winners. 🟩 Trapped Sellers at Loss - Sold lower, currently losing. Must cover at breakeven, creating support. Maximum Confluence Zones When Dominant (Profitable) and Trapped (Loss) positions align at the same level, you get the strongest support/resistance zones. These appear as: 🟧 Orange Boxes (Above Price) = Aggressive Sellers + Trapped Buyers = STRONGEST RESISTANCE 🟨 Yellow Boxes (Below Price) = Aggressive Buyers + Trapped Sellers = STRONGEST SUPPORT ═════════════════════════════════════════════════════════════ VOLUME ANALYSIS ═════════════════════════════════════════════════════════════ 1. VPD Column (Volume Point Delta) Net aggressive pressure at each price level (Buying Volume - Selling Volume). Bullish Delta (Green): Buyers dominated the auction at this level Bearish Delta (Red): Sellers dominated the auction at this level Smart Coloring: Automatically highlights institutional patterns (icebergs, absorption, spikes, failed auctions) 2. VPS Column (Volume Point of Sell - ASK Volume) Aggressive buying volume that "lifted the offer" by hitting ask prices. Represents participants who paid the ask price to enter long When price is below this level = These buyers are in profit When price is above this level = These sellers who got hit are in profit 3. VPB Column (Volume Point of Buy - BID Volume) Aggressive selling volume that "hit the bid" by taking bid prices. Represents participants who sold at bid price to enter short When price is above this level = These sellers are in profit When price is below this level = These buyers who got hit are in profit ═════════════════════════════════════════════════════════════ 🧠 ADVANCED INSTITUTIONAL PATTERNS DETECTION ═════════════════════════════════════════════════════════════ The indicator uses statistical analysis (standard deviation, moving averages, hit counting) to identify institutional footprints: Failed Auctions ⚡ "BUYERS TRAPPED" or "SELLERS TRAPPED" labels High volume entered, but price immediately reversed Creates extreme concentrations of losing positions Trading Implication: High-probability reversal zones where trapped participants must exit Volume Spikes 📈📉 Bright green/red bars in VPD column Volume exceeds average by 2+ standard deviations Represents aggressive institutional entry Trading Implication: Potential trend continuation or setup for failed auction Absorption Zones 🛡️ Yellow/Orange colored bars Large passive orders absorbing aggressive volume without price movement Indicates accumulation (bullish) or distribution (bearish) Trading Implication: Institutional positioning before major moves Iceberg Orders 🧊 Cyan colored bars with high hit counts Same price level shows repeated volume without clearing Reveals hidden institutional limit orders split into small pieces Trading Implication: Strong liquidity magnets, price often returns here Volume Exhaustion 💜 Purple colored bars Sharp volume drop (50%+) after spike Momentum exhausted, participants depleted Trading Implication: Potential reversal or consolidation ahead ═════════════════════════════════════════════════════════════ Colors bars based on detected patterns vs simple red/green ═════════════════════════════════════════════════════════════ Yellow = Bullish battles won Orange = Bearish battles won Cyan = Iceberg orders Purple = Large passive orders Bright Green = Buying spikes Bright Red = Selling spikes ═════════════════════════════════════════════════════════════ Confluence Scoring ⭐ ═════════════════════════════════════════════════════════════ Each price level receives 1-5 stars based on: Volume spike presence (+2 stars) Absorption pattern (+1 star) Large passive orders (+1 star) Proximity to Value Area (+1 star) Iceberg detection (+2 stars) Failed auction (+2 stars) Minimum Signal Strength filter lets you show only levels with ★3+ confluence for highest-quality signals. ═════════════════════════════════════════════════════════════ 📍 Value Area Analysis ═════════════════════════════════════════════════════════════ VAH (Value Area High) - Blue Line Top of the 70% volume acceptance zone. Price at VAH often rejects downward. VAL (Value Area Low) - Red Line Bottom of the 70% volume acceptance zone. Price at VAL often bounces upward. Trading Applications: Price outside Value Area → Mean reversion opportunity Price breaks VA with volume → Trend continuation Price oscillates within VA → Range-bound, fade extremes ═════════════════════════════════════════════════════════════ EXPECTED PORICE BEHAVIOR AT KEY LEVELS ═════════════════════════════════════════════════════════════ ⚠️ IMPORTANT: These are observed behavioral patterns for educational purposes and backtesting research. Always validate with 250-500+ backtest trades before risking capital. Use this indicator to enhance your existing strategy, not as a standalone system. 1. POC Box Zones (Highest Statistical Relevance) ═════════════════════════════════════════════════════════════ 🟨 Yellow Boxes (Below Current Price) Expected Behavior: Price approaching from above typically encounters buying pressure Both profitable institutional buyers and trapped short sellers create demand Common reaction: Price slows, consolidates, or bounces Failed bounces often lead to rapid breakdown (trapped buyers capitulate) What Often Happens: Initial dip into zone → Weak bounce attempt Second test → Stronger bounce (trapped sellers covering + buyers defending) Break below → Quick acceleration as both groups exit Backtesting Focus: Measure bounce success rate at ★3+ vs ★4-5 zones Track how often price returns after initial rejection Compare behavior during trending vs ranging markets 🟧 Orange Boxes (Above Current Price) Expected Behavior: Price rallying into zone typically encounters selling pressure Both profitable institutional sellers and trapped long buyers create supply Common reaction: Price stalls, consolidates, or rejects What Often Happens: Initial push into zone → Weak rejection Second test → Stronger rejection (trapped buyers exiting + sellers defending) Break above → Quick acceleration as resistance becomes support Backtesting Focus: Measure rejection success rate by confluence score Track false breakouts vs genuine breakouts Identify market conditions that favor breakouts vs reversals 2. Failed Auction Zones ═════════════════════════════════════════════════════════════ "SELLERS TRAPPED" Labels (Below Price) Expected Behavior: High-volume selling that immediately reversed = maximum trapped short positions When price returns to this level, trapped sellers face pressure to cover Typical pattern: Price approaches → Initial hesitation → Sharp bounce Common Price Action: First retest: Quick spike through level then immediate recovery Subsequent retests: Stronger bounces as fewer trapped sellers remain Level becomes support after trapped positions cleared Backtesting Focus: Success rate of bounces on first vs second retest Time decay: Does signal strength diminish after X bars? Volume characteristics during successful bounces "BUYERS TRAPPED" Labels (Above Price) Expected Behavior: High-volume buying that immediately failed = maximum trapped long positions Price returning forces trapped buyers to exit at breakeven Typical pattern: Price approaches → Distribution → Rejection Common Price Action: First retest: Shallow penetration then swift rejection Multiple retests: Weaker rallies as trapped positions cleared Level becomes resistance until breakout occurs Backtesting Focus: How many retests before level breaks? Volume profile changes on each successive test Correlation with broader market direction 3. Value Area Dynamics ═════════════════════════════════════════════════════════════ Price Outside Value Area (VAH/VAL) Expected Behavior: Price beyond 70% volume zone = statistical outlier Two outcomes: Mean reversion OR trend continuation Key differentiator: Presence of confluence zones Mean Reversion Pattern (No Strong Confluence): Price extends 1-2% beyond VA → Typically reverts toward POC Weak volume on extension → Higher probability of reversal Price oscillates back into value area over several bars Breakout Pattern (With ★4+ Confluence): Price breaks VA with institutional patterns → Often continues Strong volume + confluence = New value area forming Old VA becomes reference point for pullbacks Backtesting Focus: Success rate of fades based on distance from VA Confluence requirements for successful breakouts Time of day / session impact on VA behavior 4. Iceberg Order Behavior ═════════════════════════════════════════════════════════════ Cyan Bars with High Hit Counts Expected Behavior: Repeated volume at same level = Large hidden order absorbing Price typically "tests" iceberg multiple times before resolution Two outcomes: Absorption complete (break) OR rejection (bounce) Absorption Phase: Price approaches → Slows near iceberg → Minimal movement Volume increases but price range contracts Acts as temporary support/resistance Resolution Phase: Iceberg filled → Sudden acceleration through level Iceberg defended → Sharp rejection away from level Post-resolution: Level often becomes support/resistance flip Backtesting Focus: Average number of tests before resolution Volume characteristics when iceberg breaks vs holds Timeframe impact on iceberg effectiveness 5. Volume Spike Patterns ═════════════════════════════════════════════════════════════ Bright Green/Red Bars (Institutional Aggression) Expected Behavior: Extreme delta spikes indicate institutional entry Two scenarios: Continuation (spike in trend direction) OR Exhaustion (spike against trend) Trend Continuation Spikes: Spike + ★4+ confluence + aligned with trend = Often continues Price may consolidate briefly then resume direction These levels become support/resistance on pullbacks Exhaustion Spikes: Spike against trend + followed by reversal = Failed auction forming High probability of "TRAPPED" label appearing Often marks short-term extremes Backtesting Focus: Distinguish continuation vs exhaustion spikes Success rate based on trend alignment Time holding before reversal occurs ═════════════════════════════════════════════════════════════ 💡 Best Practices ═════════════════════════════════════════════════════════════ Start with defaults (200 lookback, 60 rows, ★3 confluence, Classic colors, Smart Coloring ON) Focus on POC boxes first - These are your highest-probability zones Combine with price action - Use the profile to explain WHY support/resistance exists Watch for alignment - Yellow/Orange boxes (both participant types) = strongest levels Respect failed auctions - "TRAPPED" labels are extreme reversal setups Use Value Area for context - Price outside VA = opportunity for mean reversion Trust confluence scores - ★4-5 signals are institutional-grade setups Adjust timeframe settings - Lower lookback for scalping, higher for position trading 🔧 Technical Notes Calculation: Enhanced delta using OHLC and volume with wick ratio analysis Updates: Real-time on every bar close Performance: Optimized for up to 500 bars lookback and 250 price rows Compatibility: Works on all symbols and timeframes Indicator Unique Value ═════════════════════════════════════════════════════════════ Unlike standard Volume Profile indicators that only show where volume occurred, the IDT Auction Profile: ✅ Separates bid vs ask volume to reveal true order flow ✅ Identifies who is profitable vs who is trapped at each level ✅ Detects institutional patterns (icebergs, absorption, failed auctions) ✅ Calculates confluence scores combining multiple factors ✅ Provides clear POC boxes showing exact institutional positioning ✅ Maps positional advantage rather than just volume density This transforms Volume Profile from a historical volume chart into a strategic positioning map showing institutional dominance and trapped participants. How to Integrate with Your Strategy ═════════════════════════════════════════════════════════════ ✅ Proper Uses: Entry refinement within your existing setups Intelligent stop placement beyond institutional levels Objective profit targets at next confluence zones Trade filtering (only take setups at ★4+ zones) Understanding market positioning before entry ❌ What It Cannot Do: Predict direction with certainty Replace risk management Account for news/external events Guarantee profitability Work in all market conditions Development Path (12-16 Weeks) Weeks 1-2: Observation Only Watch price behavior at key levels Document patterns without trading Weeks 3-8: Paper Trading Simulate trades, track all metrics Minimum 100 paper trades Weeks 9-16: Small Size Testing Minimal capital, real market conditions Continue tracking, refine rules After Proven Edge: Scale Position Sizing Critical Disclaimers ⚠️ Past volume ≠ Future price action ⚠️ Institutional positions change rapidly - these are static snapshots ⚠️ No indicator works 100% - risk management is mandatory ⚠️ Market conditions change - adapt your approach ⚠️ Backtest with YOUR style, YOUR timeframe, YOUR risk tolerance The indicator reveals WHERE institutions are positioned and HOW they might behave. YOU decide IF, WHEN, and HOW to trade that information. Not financial advice. For educational and research purposes only.
Chỉ báo Pine Script®
của MaxMaserati
SG Capital Group trade assistantThe SG Capital Group Trade Assistant is designed to bring clarity and structure to your charts by automatically highlighting the most important market timings and daily transitions. It marks the start of each trading day and visually identifies key session moments, including the New York market open and your own customized session end time. The indicator also displays the days of the week directly on the chart, with adjustable text size and formatting to match your personal preference. All elements stay out of the way of price action, keeping your chart clean while still giving you immediate context. This tool helps traders maintain focus, understand market rhythm more intuitively, and streamline their analysis without distractions.
Chỉ báo Pine Script®
của SG-Capitalgroup
Sphinx Trade ChecklistSphinx Trade Checklist — Your Rule-Based Trading Companion Sphinx Trade Checklist is not a price-based indicator — it’s a structured decision-making tool designed to help traders follow a consistent, rule-based approach before entering any trade. This checklist window guides you through a complete top-down analysis process: 1. Bias (Higher Timeframe) — Daily Start by identifying the overall market bias. Determine whether price is in premium/discount, note any FVGs/imbalances, and confirm the larger directional context. This prevents impulsive trades and keeps you aligned with the dominant flow. 2. Mid-Term Structure — 4H / 1H Next, analyze the mid-term structure: • Key swing points • Liquidity levels • OB zones / FVGs • SMT divergence This section ensures you understand the structural roadmap that price is currently respecting. 3. Micro Entry — 15m / 5m Finally, refine your entry on the lower timeframes. Look for your specific confirmations such as: • Liquidity sweeps • FVGs • CHoCH / BOS • Discount / Premium entries This is the final step before execution, helping you stay disciplined and avoid weak, emotional trades. ⸻ Why This Tool Matters Most traders lose not because of strategy but because they skip steps, enter too early, or misread the higher timeframe bias. Sphinx Trade Checklist keeps your process organized, objective, and consistent — forcing you to confirm each layer of analysis before pressing the button. Whether you’re a beginner building good habits or an advanced trader wanting more structure, this tool helps you stay crystal-clear on your bias, structure, and entry criteria.
Chỉ báo Pine Script®
của Sphinx_Trading
MMM Time Stamp & Asian Session @MaxMaserati 3.0═════════════════════════════════════════════════════════════MMM TimeStamps & Asia @MaxMaserati 3.0 ═════════════════════════════════════════════════════════════ This indicator helps intraday traders identify critical market timing and key liquidity zones. It displays customizable time labels at major market events (market open, pre-market moves, session changes) and automatically tracks the Asian session range with high, low, and mid-level lines. The Asian session levels act as important reference points for institutional order flow and potential support/resistance zones during subsequent trading sessions. Lines extend forward until broken, helping traders identify when price takes liquidity or respects these key levels. The visual background and customizable labels make it easy to spot session boundaries and plan trades around these high-probability zones. Ideal for traders following ICT concepts, session-based strategies, SMC or anyone needing clear visual markers for time-based analysis on intraday charts.
Chỉ báo Pine Script®
của MaxMaserati
Hyper MACDThe Hyper MACD is a customizable momentum indicator exclusively designed for Scalping that blends traditional MACD logic with dynamic signal coloring, overbought/oversold detection, and WaveTrend overlays. It supports multiple moving average types and highlights key momentum shifts with visual markers and alerts. The settings/alerts are self explanatory and are optimized for quick scalping, works for any timeframe. Suggested rules are. The MACD line and Signal line must be above the zero line to scalp The price begins do decay when the Signal turns from white to orange, however if both the lines are above zero line, then its still game to scalp but cautiously. The colors are telling on both the lines, blue indicates a bullish surge on both and green on macd and white on signal suggests the bullish trend continuation It also prints take profit arrows along the way, and also possible trend reversals.
Chỉ báo Pine Script®
của tradesafe1
Previous Period Close & Live VWAP @MaxMaserati 3.0 Previous Period Close & Live VWAP @MaxMaserati 3.0 ═════════════════════════════════════════════════════════════A professional-grade Volume Weighted Average Price (VWAP) indicator designed for dual-timeframe analysis, providing essential institutional-level insights for day, swing, and institutional traders. ═════════════════════════════════════════════════════════════VWAP ═════════════════════════════════════════════════════════════VWAP is the Volume Weighted Average Price—the average price adjusted for the volume traded at each price level. It gives higher importance to prices where more transactions occurred. CALCULATION: VWAP = Σ(Price × Volume) / Σ(Volume) WHY IT'S CRITICAL: It represents the true average price paid by all market participants. Institutions use it as a benchmark for trade execution quality. It functions as a dynamic support and resistance level driven by volume. More reliable than simple moving averages for intraday trading. ═════════════════════════════════════════════════════════════ MMM PRO VWAP @MaxMaserati 3.0 Features ═════════════════════════════════════════════════════════════ This indicator displays the closed VWAP level from the previous period alongside a dynamic, live VWAP line for the current period. This setup allows for immediate comparison of current price action relative to the prior period's volume-weighted average. PREVIOUS PERIOD PRESSURE-BASED COLORING The color of the previous period's close instantly reveals the dominant pressure: GREEN: If the VWAP closed HIGHER than it opened, indicating dominant buying volume (Bulls won). RED: If the VWAP closed LOWER than it opened, indicating dominant selling volume (Bears won). This provides instant, actionable insight into the market's recent sentiment. ═════════════════════════════════════════════════════════════ Trading Applications & Strategy Ideas ═════════════════════════════════════════════════════════════ INTRADAY TRADING (VWAP 1 - Daily) Bullish Bias: Price trading above the Daily VWAP (look for long setups). Bearish Bias: Price trading below the Daily VWAP (look for short setups). The Previous Close VWAP acts as a key support/resistance level. The previous close color provides immediate daily sentiment. SWING TRADING (VWAP 2 - Weekly/Monthly) Use the higher timeframe VWAP (Weekly/Monthly) to establish the major trend direction. Combine both VWAPs for multi-timeframe confluence and stronger conviction trades. INSTITUTIONAL INSIGHTS VWAP is considered the fair value based on volume. Previous period close levels are crucial institutional zones. Price often exhibits mean reversion, tending to move back towards the VWAP. CORE STRATEGY IDEAS: Buy (Long) when price tests the Daily VWAP from above (support). Sell (Short) when price tests the Daily VWAP from below (resistance). Use the previous close color for quick sentiment analysis. ═════════════════════════════════════════════════════════════ Pro Tips for Enhanced Analysis ═════════════════════════════════════════════════════════════ Confluence: The strongest setups occur when price is above both Daily and Monthly VWAP (bullish) or below both (bearish). Reversion: Extreme deviations from VWAP suggest an imminent return to the mean. Previous close levels act as price magnets. Trend Confirmation: Consistent price movement above VWAP confirms a strong uptrend; consistent movement below confirms a strong downtrend. Institutional Focus: The end-of-day VWAP close highlights whether bulls or bears controlled the period. This pressure can often carry over. Risk Management: Do not trade against the established VWAP bias without strong, independent confirmation. Use previous close levels as stop-loss references. ═════════════════════════════════════════════════════════════ Important Notes ═════════════════════════════════════════════════════════════ Timeframe Consistency: The VWAP line is timeframe-independent. The Daily VWAP will appear the same on a 1-minute chart as it does on a 4-hour chart. Previous Close Persistence: The previous period close level remains on the chart until the next period's reset, serving as a critical historical reference point. Volume Dependency: VWAP's reliability is highest during liquid market hours. Use caution during low-volume periods. Not a Complete Strategy: This is an indicator tool. Always use it with robust risk management and combine it with your existing analysis methods. ═══════════════════════════════════════════════════════════
Chỉ báo Pine Script®
của MaxMaserati
MTFX Asia SessionThis free tool automatically maps the Asia session range in real time, drawing the box, midline, and extended high/low levels. If price sweeps the Asia high/low and then returns back inside the range, the midline often serves as the first target, with the opposite boundary as the secondary target. If the range is broken and price holds outside, the session lines will provide clear levels for retest and continuation of a break of the range. These dynamics make the Asia range perfect for spotting liquidity sweeps, containment, and breakout opportunities. Default timezone is EST (America/New_York), with session hours set to 17:00–03:00 EST. Customise inputs to fit your definition of Asia hours. The session box appears once the Asia session ends, locking in the range. Extended lines help track how London/New York trades against Asia’s containment. Alerts are included for price touching Asia high/low. Source code is protected to preserve the framework, but the indicator is fully functional and customisable. This is my first post here on TradingView, and I’m excited to share tools I’ve built and use myself. My hope is to continue publishing frameworks and insights in the future, so follow along if you’d like to see how these ideas evolve. I hope these tools help you trade with more clarity and discipline — and I welcome your feedback as I continue to refine them. Mummytrades_FX
Chỉ báo Pine Script®
của Mummytrades_FX
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum. The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex. This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values ​​correspond to a stable and calm market environment, and lower values ​​indicate periods of increased risk and potential liquidity stress. LT generates an integral liquidity index in the range based on five normalized components: -nVol — normalized volume, reflecting trading density and activity. -nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity. -nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement. -nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand. -nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes. Each metric is linearly normalized over a sliding window (200 bars) using the formula: norm(x) = (x − min) / (max − min), where at max = min, the value is fixed at 0.5 to ensure stability. The ALT index is calculated as a weighted combination: ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove) The result is further smoothed using EMA(3) to reduce micronoise. Red Zone (MLI < 0.25) — Risk, Thin Liquidity When the indicator falls into the red zone, it means the market is extremely volatile: Characteristics: Low volume — small trades have a strong impact on the price. High volatility — candlesticks rise or fall sharply. Wide candlestick range — the market is "breathing heavily," easily breaking price extremes. Impulsive movements — small market shocks lead to sharp spikes. Thin liquidity — few orders in the order book, large orders "eat up" the market. What this means for a trader: 🔥 High risk of spikes and false breakouts. ⚠ Possible series of liquidations on leverage. ❌ It is not recommended to enter long or short positions without a filter or protection. ✅ Can be used for short scalping strategies if you know the entry point, but very carefully. Green Zone (MLI > 0.75) — High Liquidity, Safe Zone When the indicator rises into the green zone, it means the market is stable and balanced: Characteristics: High volume — the market is deep, orders are executed without a strong impact on the price. Low volatility — candlesticks are stable, no sharp spikes. Narrow candlestick range — price moves calmly. Weak impulse movements — no sharp surges. Sufficient liquidity — the market can handle large orders. What this means for a trader: ✅ Safe zone for opening positions. 🔄 Easier to set stop-loss and take-profit orders. 💡 You can trade both up and down, the risk of sharp movements is minimal. ⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations. It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Chỉ báo Pine Script®
của Zdorman
Trend Line Methods (TLM)Trend Line Methods (TLM) Overview Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis. Method 1 – Pivot Span Trendline The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows. • The script tracks a configurable number of recent pivot highs and lows. • From the oldest and most recent stored pivot highs, it draws an upper trend line. • From the oldest and most recent stored pivot lows, it draws a lower trend line. • An optional filled area can be drawn between the two lines to highlight the active trend span. As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points. Method 2 – 5-Point Straight Channel The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window. Within the selected window: • The window is divided into five segments of similar length. • In each segment, the highest high is used as a representative high point. • In each segment, the lowest low is used as a representative low point. • A straight regression-style line is fitted through the five high points to form the upper boundary. • A second straight line is fitted through the five low points to form the lower boundary. The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market. Inputs & Menus Pivot Span Trendline group (Method 1) • Enable Pivot Span Trendline – Turns Method 1 on or off. • High trend line color / Low trend line color – Colors of the upper and lower trend lines. • Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally. • Trend line thickness – Line width for both high and low trend lines. • Trend line style – Line style (solid, dashed, or dotted). • Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points. • Pivot Count – How many historical pivot points are kept for constructing the trend lines. • Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart. 5-Point Straight Channel group (Method 2) • Enable 5-Point Straight Channel – Turns Method 2 on or off. • High channel line color / Low channel line color – Colors of the upper and lower channel lines. • Channel line thickness – Line width for both channel lines. • Channel line style – Line style (solid, dashed, or dotted). • Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel. Using Both Methods Together Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window. When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan. Notes • This script is meant as an educational and analytical tool for studying trend lines and channels. • It does not generate trading signals and does not replace independent analysis or risk management. • The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
Chỉ báo Pine Script®
của ata_sabanci
10
TernTable: Crypto SectorsTernTables:CryptoSecs This was hung on my Sector ETFs script to see if I could filter some noise from crypto by applying a GICS (Global Industry Classification Standard) style sector model to the crypto markets. Crypto classification is certainly a little more nuanced so not completely straightforward. It was designed to filter a researched and organised view of generally recognised cryptocurrency sectors and their confirmed constituent components. The main purpose was a shot at displaying live crypto market data on my chart with instantaneous visual analysis, using leader laggard colour logic for performance indication, plus bullish bearish colour logic using the header for instant visual sector strength analysis. This was never going to be an exhaustive tool of course and amazingly only or two of the sector lists wont fit on your laptop screen without zooming but it’s UI versatility both in custom display and custom threshold functionality is very effective. Viewing a coin on your watchlist with its sector overlayed in the chart brings the optional visual alert function into consideration. All basic but all effective and all customisable Can't ignore the educational value either it’s teaching by osmosis what the sectors do and which coins go where clues to why. As an after thought - I added a live stock market filter for 20 sector-specific ETFs like SPY, QQQ, XLV, XLF, allowing the comparison of the live performance of traditional financial sectors to live crypto sector data without leaving your chart. Not certain how often it will need to be updated and any feedback re the legitimacy and accuracy of its components is kindly welcomed it is up to date at date of publishing. It’s pretty easy to use, here is a list what you're getting with sector classifications with brief descriptions CMC 20 CoinMarketCap Top 20: the largest cryptos by market cap. Great starting point to see what the overall market is doing ETFs All major U.S.-listed Bitcoin & Ethereum ETFs. Lets you compare crypto performance directly with traditional finance Layer 0 Foundational interoperability protocols (Polkadot, Cosmos, ICP, etc.). These are the “bridges” that allow different blockchains to communicate Layer 1 Independent base-layer blockchains that run their own consensus and security (Bitcoin, Ethereum, Solana, Cardano, TON, etc.). Layer 2 Scaling networks built on top of Layer 1s to increase speed and lower fees (Arbitrum, Optimism, Base, Polygon, zk-rollups, etc.) Layer 3 Application-specific chains or rollups designed for one purpose (gaming chains, DeFi-specific, social, etc.) Web3 The “ownership internet”: gaming tokens, NFTs, metaverse land, music/streaming platforms, social tokens, and creator-economy projects DeFi Decentralised Finance: lending platforms, decentralized exchanges, derivatives, yield aggregators, and insurance protocols Decentralised Storage Blockchain-based alternatives to AWS/Google Cloud (Filecoin, Arweave, Storj, etc.) Oracles Data providers that feed off-chain information (prices, weather, sports results) into smart contracts Privacy Privacy coins and protocols that obfuscate transaction details (Monero, Zcash, Beam, etc.) Yield & Lending Protocols focused purely on lending, borrowing, and yield generation DEX Pure decentralized exchanges (Uniswap, SushiSwap, Jupiter, GMX, etc.) DAO Governance tokens of major decentralized autonomous organizations (Maker, Lido, Aave, ENS, etc.) Infrastructure / Middleware The picks-and-shovels layer: node services, RPC providers, indexing, cross-chain bridges, etc Real World Assets (RWA) Tokenised traditional assets: treasuries, real estate, private credit, stablecoins backed by real-world collateral Restaking & Liquid Restaking EigenLayer ecosystem and liquid-restaking tokens (eigen, ether.fi, Pendle, etc.). Currently the fastest-growing narrative Traditional Sector ETFs Classic U.S. sector ETFs (SPY, QQQ, XLF, XLE, XLV, XLY, etc.). Extra layer of analysis by comparing live stock market conditions with livecrypto market conditions A list of the UI Toggles * Sector Dropdown • Select Sector: Choose the sector to display (e.g., CMC 20, Layer 1, DeFi, etc.) * Custom Tickers • Enter Tickers: Input custom coin tickers (e.g., BTCUSD, ETHUSD) to track specific assets * Show % Change Row • Toggle On/Off: Display the % change row for each sector/coin * Show Current Price Row • Toggle On/Off: Display the current price for each sector/coin * Show Price-Diff Row • Toggle On/Off: Display the price difference (current price - previous day's price) * Show Spacer Row • Toggle On/Off: Add a spacer row between data rows for clarity * Table Position • Select Position: Choose the position of the data table on your chart (Top Left, Top Right, etc.) Visual Options: * Show Sector Name • Toggle On/Off: Display the sector name pane label on chart * Custom Bull/Bear Threshold • Toggle On/Off: Set a custom threshold for bullish/bearish sector performance • Threshold (%): Set the percentage threshold (e.g., 50%) for bullish/bearish classification * Show Live % in Header • Toggle On/Off: Display the live percentage change in the table header * Dynamic Decimal Formatting • Toggle On/Off: Enable dynamic formatting for numbers display. * Sort by % Change • Toggle On/Off: Sort sectors by % change in performance * Enable Alerts • Toggle On/Off: Enable alerts based on performance thresholds * Alert Threshold (%) • Set Threshold: Define the percentage threshold (e.g.,70%) for triggering alerts * Cooldown (bars) • Toggle On/Off: Enable cooldown to prevent alerts from triggering too quickly • Cooldown Duration: Set the cooldown period in bars (e.g., 10 bars) * % Threshold Mode • Toggle On/Off: Enable % Threshold Mode to filter sectors based on a percentage change threshold • Threshold %: Set the percentage for filtering sectors (e.g., only show sectors with > 5% change) A lot of toggles probably left once favourites are set but this UI interface does allow experimentation with the utility of channelling raw live data through custom designed filters. Just saying ! I need to include this of course This indicator provides sector-based organisation and real-time performance visualisation for cryptocurrencies. It is not intended to predict price movements or guarantee outcomes. Crypto assets carry significant risk, including loss of capital. Past performance does not guarantee future results. All data and sector classifications are best-effort and may be incomplete, inaccurate, or outdated. Nothing in this script should be interpreted as financial advice. You are solely responsible for your own trading decisions. That’s it really, I am currently pleased with how this indicator turned out, if you have a crypto trading toolkit put this in it.
Chỉ báo Pine Script®
của Edgear
Dynamic Elliott Wave By Lucky-CBTIndicator overview Dynamic Elliott Wave v5 detects and visually labels single-degree Elliott impulse (1–5) and corrective (A–B–C) structures using robust pivot detection and optional Fibonacci validation. It’s designed as a mechanical, configurable helper to identify clear wave structures across timeframes and instruments — useful as a structural guide for analysis and strategy development. Key features Mechanical pivot detection (zigzag-style) evaluated on confirmed bars for stability Automatic detection and persistent drawing of 1–5 impulse and A–B–C corrective structures Optional Fibonacci-based validation for Wave 2 / Wave 4 retracements with tolerance control Configurable pivot lookback and minimum move threshold to reduce noise on different timeframes Visuals: colored lines and labels for impulses (1–5) and corrections (A–B–C) Lightweight memory use with bounded pivot storage and safe redraw logic How it works (short) Detects pivot highs/lows using ta.highestbars / ta.lowestbars over a user-set lookback Builds candidate 5-pivot sequences and validates alternation, magnitude, and optional Fibonacci relationships When a valid impulse is found the script stores and draws the 1–5 chain; if a following 3-pivot corrective is found it stores and draws A–B–C Visuals persist until a new validated structure replaces them so charts remain readable Inputs and recommended settings Pivot lookback (bars): controls sensitivity. Lower for faster markets / lower TF (e.g., 3–7), higher for slow markets / higher TF (e.g., 10–30). Min move size (%): filters tiny swings. Start ~0.5% for volatile symbols, 0.1–0.3% for large-cap equities on daily. Use Fibonacci checks: on/off. Turn on to enforce common retrace rules; turn off if you prefer looser mechanical counts. Fibonacci tolerance: widen for noisy markets, tighten for strict validation. Show lines / Show labels: toggle visuals to reduce clutter. Practical notes and limitations Elliott Wave counting remains partly subjective; this script provides a consistent mechanical count, but it will not match every manual analysis. Use as a guide, not a final trading signal. The script detects single-degree structures only. For nested multi-degree analysis, consider adding recursive detection layers or complementing with manual degree assignment. Requires sufficient chart history (max_bars_back) to retain older pivots when reviewing long-term structures. Increase max_bars_back if needed. Test and tune pivot_len and min_move_pct for your instrument and timeframe before relying on counts in live trading. Change log (high level) v1.0 — Initial release: mechanical pivot detection, impulse 1–5 and corrective A–B–C detection, persistent visuals, Fibonacci validation. Future: planned options for ATR-based pivots, multi-degree nesting, manual clear/aging controls, and degree coloring. Disclaimer This indicator is provided for educational and analytical purposes only. It does not provide financial, investment, or trading advice. Always combine structural analysis with risk management and validate any strategy on historical data before trading live. If you want, I can produce: (1) a shorter “one-sentence” blurb for the publish header, (2) example default settings for specific markets (BTC, Nifty, Forex), or (3) release notes formatted for TradingView — tell me which.
Chỉ báo Pine Script®
của CBTbyLucky
5
Agressive Pricing Gaps (FVG/UPG,VI,OG) @MaxMaserati 3.0Aggressive Pricing Gaps (APGs 3.0) The indicator specializes in identifying and managing price vacuums left behind when aggressive market participants rapidly move price, leaving areas that often serve as magnets for future mitigation. 1. Unfair Pricing Gaps (UPG) Analysis The UPG logic is the indicator's main function, detecting a traditional three-candle price imbalance (FVG). Detection Mechanism: A bullish UPG is identified when the high of candle 3 is below the low of candle 1 (with candle 2 being the expansive candle). A bearish UPG is identified when the low of candle 3 is above the high of candle 1. Multi-Timeframe Support: UPG detection can be run on a Higher Timeframe (HTF), allowing traders to monitor significant weekly, daily, or H4 imbalances while viewing a lower execution timeframe. Volume Filter: An optional Volume Filter based on EMA can be applied, restricting the plotting of UPGs only to those associated with volume exceeding the specified filter strength, thereby enhancing signal quality. Sliced Mitigation: Each UPG is divided into multiple Box Slices (up to 20). This feature allows for detailed tracking of partial filling and precise visual confirmation as price moves through the gap. 2. Negative/Positive Candle Opening Gaps (OP+/-) This logic focuses on the smaller, often immediate, gaps left between the closing price of one candle and the opening price of the next, representing minor immediate aggression or volatility. Detection: Positive Opening (OP+): Occurs when the current bar opens above the previous bar's close. When it happen we expect price to keep closing above it to maintain the bullish pressure. Negative Opening (OP-): Occurs when the current bar opens below the previous bar's close. When it happen we expect price to keep closing below it to maintain the bearish pressure. Timeframe Independence: OP Gaps can be displayed on a different timeframe from the UPG, or strictly on the chart's current timeframe.
Chỉ báo Pine Script®
của MaxMaserati