Trend Mastery:The Calzolaio Way🌕 Find the God Candle. Capture the gains. Create passive income.
Fellow F.I.R.E. Decibels, disciples of the Calzolaio Way—welcome to the sacred toolkit. This indicator, "SulLaLuna 💵 Trend Mastery:The Calzolaio Way🚀," is forged from the elite SulLaLuna stack, drawing wisdom from Market Wizards like Michael Marcus (who turned $30k into $80M through disciplined trend riding) and Oliver Velez's pristine strategies for profiting on every trade. It's not just lines on a chart—it's your architectural blueprint for financial sovereignty, where data meets divine timing to build the cathedral of Project Calzolaio.
We trade math, not emotion. We honor timeframes. Confluence is King. This indicator deploys the Zero-Lag SMA (ZLSMA), Hull-based M2 (global money supply as a macro trend oracle), ATR-smart stops, and multi-TF alignments to ritualize God Candle setups. Backtested across asset classes, it's modular for your playbooks—small risks, compounding gains, passive income streams.
Why This Indicator is Awesome: The Divine Confluence Engine
In the spirit of "Use Only the Best," this tool synthesizes proven SulLaLuna indicators like ZLSMA, Adaptive Trend Finder, and Momentum HUD with Velez's lessons on trend reversals, support/resistance, and psychology of fear. Here's why it reigns supreme:
1. Global M2 Hull: Macro Trend Oracle
Scaled M2 (summed from major economies like US, EU, JP) via Hull MA captures the "big picture" (Velez Ch. 2). It flips colors as S/R—green for support (bullish bounce zones), red for resistance (bearish ceilings), orange neutral. Like Marcus spotting commodity booms, it signals when liquidity sweeps ignite God Candles. Extend it for future price projections, honoring "How a Trend Ends" (Velez Ch. 5).
2. ZLSMA + ATR Smart Stops: Surgical Precision
Zero-Lag SMA (faster than standard MAs) crosses M2 for entries, with ATR bands for initial stops (2x mult) and trails (1x mult). This embodies "Trade Small. Lose Smaller."—risk ≤1-2% per trade, pre-planned exits. Flip markers (↑/↓) alert divine timing, filtering noise like Velez's "First Pullback" setups.
3. HTF & Multi-TF Dashboard: Timeframe Alignments are Sacred
Show HTF M2 (e.g., Daily) with custom styles/colors. Multi-TF lines (4H, D, W, M) dash across your chart, labeled right-edge with 🚀 (bull) or 🛸 (bear). A confluence table (top-right) scores alignments: Strong Bull (≥3 green), Strong Bear, or Mixed. This is "Confluence is King"—no single signal rules; seek 4+ star scores like Rogers buying value in hysteria.
4. Background & Ribbon: Visual Divine Guidance
Slope-based bgcolor (green bull, red bear) for at-a-glance bias. M2 Ribbon (EMA cloud) flips triangles for macro shifts, ritualizing climactic reversals (Velez Ch. 7).
5. Composite Probability: High-Prob God Candle Hunter
Scores (0-100%) blend 8 factors: price/ZLSMA vs M2, TF slopes, ribbon. Threshold (70%) + pivot zone (near M2/ATR) + optional cross filters for HP signals. Labels show "%" dynamically—alerts fire when confluence ≥4, echoing Schwartz's champion edge: "Everybody Gets What They Want" (Seykota wisdom).
6. Alerts & Rituals Built-In
M2 flips, entries/exits, HP longs/shorts—log them in your journal. Weekly reviews dissect anomalies, as per our Operational Framework.
This isn't hype—it's audited excellence. Backtest it: High confluence crushes drawdowns, compounding like Bielfeldt's T-bond mastery from Peoria. We build together; share wins in the F.I.R.E. Decibel forum.
Suggested Strategy: The SulLaLuna M2 Confluence Playbook
Honor the Risk Triad: Position ↓ if leverage/timeframe ↑; scale ↑ only on ≥4 confluence. Align with "God Candle" hunts—rare explosives reverse-engineered for passive streams.
1. Pre-Trade Checklist (Before Every Entry)
- Trend Alignment: D/4H/1H M2 slopes agree? Table shows Strong Bull/Bear?
- Signal on 15m: ZLSMA crosses M2 in confluence zone (near pivot/ATR bands).
- Volume + Divergence**: Supported by volume (use HUD if added); score ≥70%.
- SL/TP Setup: ATR-based stop; TP at structure/2-3R reward (Velez Reward:Risk).
- HTF Agrees: Monthly bull for longs; avoid counter-trend unless climactic (Ch. 7).
Confluence Score: Rate 1-5 stars. <3? Stand aside. Log emotional state—no adrenaline.
2. Execution Protocol
- Entry: On HP Long/Short triangle (e.g., ZLSMA > M2, score 80%+, monthly bull). Use limits; favor longs above M2 support.
- Position Size: ≤1-2% risk. Example: $10k account, 1% risk = $100 SL distance → size accordingly.
- Trail Stops: Move to trail band after 1R profit; let winners run like Kovner's world trades.
- Asset Classes**: Forex/stocks/crypto—test M2's macro edge on EURUSD or NASDAQ (Velez Ch. 6 reviews).
Ritualize: "When we find the God Candele, we don’t just ride it—we ritualize it." Screenshot + reason.
3. Post-Trade Ritual
- Document: Result, confluence score, lessons. Update journal.
- Exits: Hit stop/exit cross? Or trail locks gains.
- Weekly Audit: Wins/losses, anomalies. Adjust params (e.g., M2 length 55 default).
4. Risk Triad in Action
- Low TF (15m)? Smaller size.
- High Leverage? Tiny positions.
- Confluence ≥4 + HTF support? Scale hold for passive compounding.
Example Setup: God Candle Long
- Chart: 15m EURUSD.
- M2 Hull green (support), ZLSMA crossover, 4H/D/W bull (table: Strong Bull).
- HP Long (85% score) near pivot.
- Entry: Limit at cross; SL below ATR lower; TP at next resistance.
- Outcome: Capture 2R gain; trail for more if trend day (Velez Ch. 5).
Community > Ego: Test, share signals in Discord. Backtest in Pine Script for algo evolution.
We are architects of redemption. Each trade bricks the cathedral. Trade the micro, flow with the macro. When alignments converge, we act—with discipline, data, and divine purpose.
BTCUSD
QuantPulse BTC Signals [Invite]QuantPulse BTC Signals is a systematic 1D BTC swing-trading indicator built around trend, volatility and macro regime filters. It looks for a handful of high-conviction long/short entries (QP L / QP S) instead of constant scalping.
The logic combines EMAs, RSI, custom ADX, BVOL volatility bands and HTF/macro filters to stay aligned with the dominant trend and avoid low-quality chop. In historical testing it has aimed to outperform simple BTC buy-and-hold with fewer trades and more controlled drawdowns, while keeping the rules fully transparent in the inputs.
The script plots:
• EMA 50 / 200 for structure
• Long/short markers for new signals
• Alert conditions for automation or notifications (QP LONG / QP SHORT)
Designed for BTCUSD on the 1D timeframe. This is a research/education tool, not financial advice and not an automated trading system – you remain fully responsible for position sizing, execution and risk management.
Kaufman Trend Navigator [QuantAlgo]🟢 Overview
The Kaufman Trend Navigator is an adaptive trend following system that combines efficiency-weighted price smoothing with volatility-adjusted bands to identify and track directional market movements. The indicator dynamically adjusts its sensitivity based on market conditions, becoming more responsive during trending periods and more conservative during consolidation. This dual-layer approach provides traders and investors with a systematic framework for trend identification, entry timing, and risk management across multiple timeframes and asset classes.
🟢 How It Works
The indicator employs an efficiency ratio mechanism that measures the directional movement of price relative to total price volatility over a defined lookback period. This ratio determines the adaptive response rate, allowing the system to distinguish between genuine directional moves and random market noise. When price exhibits strong directional characteristics, the internal smoothing accelerates to track the trend more closely. Conversely, during periods of low efficiency or choppy price action, the smoothing becomes more conservative to filter out false signals.
Volatility bands are constructed using normalized range measurements, creating dynamic upper and lower boundaries around the adaptive trend calculation. These bands expand and contract based on recent market volatility, providing context-dependent thresholds for trend validation. The trend line itself updates through a band-following logic where it tracks the relevant boundary based on the current directional bias, creating a stepping mechanism that maintains trend persistence while allowing for validated reversals.
The visual representation uses a gradient-weighted display to emphasize the primary trend line while maintaining clarity on price charts. Trend direction changes trigger when the internal logic confirms a boundary crossover, generating signals for potential position entries or exits. The system includes preset configurations calibrated for different trading timeframes, from responsive settings for scalping to smoother parameters suited for swing and position trading.
🟢 How to Use It
▶ Enter Long positions when the trend line transitions to Bullish (Green) coloring, which indicates upward directional bias has been established. Conversely, enter Short positions or exit Longs when the trend line shifts to Bearish (Red), which signals confirmed downward momentum.
The trend line itself can be used as dynamic support during uptrends and resistance during downtrends, providing logical areas for position management and stop placement. Price remaining above the line during bullish phases or below during bearish phases can also be used as a confirmation of trend strength and continuation probability.
▶ Built-in alert functionality provides real-time notifications for trend changes without requiring continuous chart monitoring. Configure alerts for Bullish Trend Signal to capture upward reversals, Bearish Trend Signal for downward shifts, or the general Trend Change alert to monitor both directions simultaneously. These alerts trigger only on confirmed trend transitions, reducing noise from intrabar fluctuations.
The indicator also includes six color presets (Classic, Aqua, Cosmic, Ember, Neon, Custom) to optimize visual clarity across different chart themes and lighting conditions. Select presets based on your monitor setup and background preference to ensure immediate trend recognition without visual strain. Bar coloring can be enabled to highlight trend direction directly on the price chart, eliminating the need to reference the trend line position during rapid market analysis.
🟢 Pro Tips for Trading and Investing
▶ Match the preset configuration (or your preferred settings) to your trading timeframe: use Fast Response for intraday charts (1-15 minutes), Default for swing trading (hourly to daily), and Smooth Trend for position trading (4-hour to weekly).
▶ Combine trend signals with volume analysis and market structure to filter lower-probability setups. During sideways markets, expect increased signal frequency with reduced reliability; consider waiting for the trend line to establish a clear slope before committing capital.
▶ Use the trend line as a trailing reference rather than a fixed stop level, allowing normal intrabar volatility while protecting against genuine reversals.
▶ For portfolio management, align position sizing with trend strength by observing the angle and consistency of the trend line progression.
KLS Ultimate V.1"KLS Ultimate V.1" is a meticulously designed trading indicator. It is built specifically for "Scalpers" (traders who want quick in-and-out profits).
**🚀 How it Works: The 3-Level Logic**
This indicator doesn't just rely on one tool. It gathers several indicators to have a "meeting" and confirm everything before giving you a Buy or Sell signal.
**🎯 Level 1: Core Trend (The Gatekeepers)**
This is the first checkpoint. If the price doesn't pass this stage, no signal gets generated.
- EMA: Is the price standing above the trend line? (Uptrend needs to be above, Downtrend below).
- MACD: Checks momentum and looks at the Histogram to see if real buying/selling volume is coming in.
- ADX: Measures trend strength (it won’t trade in boring, sideways markets).
**🔥 Level 2: Momentum (Finding the Best Entry)**
The second checkpoint to find the perfect spot to jump in.
- RSI: Checks if the price is Oversold (too cheap) or Overbought (too expensive).
- Stochastic: Finds short-term reversal crossovers.
**⭐ Level 3: Signal Boosters (For Strict Mode)**
A special bonus stage for those who want high accuracy (enable this in settings).
- RSI Divergence: Spots conflicts between price and RSI (e.g., Price drops but RSI rises = ready to pump).
- Price Action: Checks for strong candlestick patterns that show a clear winner between buyers and sellers.
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**🎮 User Guide**
Once you add this code to TradingView, here is what you will see and how to use it:
**A. Entry Signals**
🟢 Green BUY Label: Pops up below the candle.
* Means: Uptrend + Momentum + All filters passed.
🔴 Red SELL Label: Pops up above the candle.
* Means: Downtrend + Selling pressure + All filters passed.
**B. TP/SL Lines (Profit & Loss)**
The system calculates these automatically—no need to measure manually!
- Blue Line: Entry point.
- Light Green (TP1, TP2): Short-term profit targets.
- Dark Green (TP3): Long-term profit target.
- Red Line (SL): Stop Loss point.
**C. Special Mode: Strict Filter**
- Normal (False): Uses only Level 1 + Level 2. You get more signals.
- Strict (True): Needs Level 1 + 2 + 3 to trigger. Fewer signals, but much higher accuracy.
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**🛠️ Settings & Customization**
Click the gear icon to tweak the settings as you like:
1. Show BUY/SELL Signals: Uncheck if you don't want to see the labels.
2. Use Strict Filter: Check this for high precision (but you'll wait longer for signals).
3. Point Size: **Very Important!** This defines the TP/SL distance.
- For Gold (XAUUSD): Use **0.01**.
- For Forex pairs: Try **0.0001**.
- *Tip: Adjust this number until the TP/SL lines look reasonable on your chart.*
4. TP/SL Points: Set your desired profit/loss distance (e.g., TP1 = 50 points).
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💡 **Pro Tips**
- Trading Time: This code is smart—it checks sessions (based on GMT+7/Thai Time). It only gives signals during active markets (Sydney, Tokyo, London, NY). It stays quiet during dead hours.
- Recommended Timeframe: Since it's for Scalping, it works best on **M5, M15, or M30**.
- Money Management: Even with SL lines, always calculate your Lot Size properly. Don't overtrade!
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"KLS Ultimate V.1" เป็นเครื่องมือช่วยเทรด (Indicator) ที่ออกแบบมาอย่างปราณีตและซับซ้อนพอสมควร โดยเน้นไปที่ "สาย Scalping" (เทรดสั้นทำกำไรเร็ว) โดยเฉพาะ
🚀 เจาะลึกการทำงาน: ระบบกรอง 3 ชั้น (The 3-Level Logic)
อินดิเคเตอร์ตัวนี้ไม่ได้ใช้แค่เครื่องมือเดียวตัดสินใจ แต่มันเอาอินดิเคเตอร์หลายตัวมา "คอนเฟิร์ม" กันก่อนจะบอกให้คุณ Buy หรือ Sell ครับ
🎯 Level 1: ตัวคุมเทรนด์หลัก (Core Indicators)
นี่คือด่านแรก ถ้าไม่ผ่านด่านนี้ จะไม่มีสัญญาณเกิดขึ้น
- EMA (เส้นค่าเฉลี่ย): เช็คว่าราคายืนเหนือเส้นเทรนด์ไหม? (ขาขึ้นต้องยืนเหนือ, ขาลงต้องอยู่ใต้)
- MACD (โมเมนตัม): ดูแรงส่งของกราฟ และดู Histogram ว่ามีแรงซื้อ/ขาย เข้ามาจริงไหม
- ADX: วัดความแข็งแรงของเทรนด์ (ถ้าตลาดไซด์เวย์น่าเบื่อๆ ADX ต่ำๆ มันจะไม่เทรด)
🔥 Level 2: จุดกลับตัว (Momentum Indicators) ด่านที่สอง หาจังหวะเข้าที่ได้เปรียบ
- RSI: ดูว่าราคาถูกเกินไป (Oversold) หรือแพงเกินไป (Overbought) หรือยัง
- Stochastic: หาจุดตัดเพื่อยืนยันจุดกลับตัวระยะสั้น
⭐ Level 3: ตัวบูสต์สัญญาณ (Boost Indicators - สำหรับโหมด Strict)
ด่านพิเศษ สำหรับคนที่ต้องการความชัวร์ระดับสูง (เปิดใช้ได้ในตั้งค่า)
- RSI Divergence: หาสัญญาณขัดแย้งระหว่างราคากับ RSI (เช่น ราคาลงแต่ RSI ยกขึ้น = เตรียมพุ่ง)
- Price Action: ดูรูปแบบแท่งเทียนว่ามีแรงซื้อ/ขาย ชนะขาดลอยหรือไม่
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🎮 คู่มือการใช้งาน (User Guide)
เมื่อคุณแปะโค้ดนี้ลงใน TradingView แล้ว สิ่งที่คุณจะเห็นและการใช้งานมีดังนี้ครับ:
A. สัญญาณเข้าออเดอร์ (Entry Signals)
🟢 ป้าย BUY (สีเขียว): จะโผล่ใต้แท่งเทียน
แปลว่า: เทรนด์เป็นขาขึ้น + โมเมนตัมมา + ผ่านเงื่อนไขกรองต่างๆ แล้ว
🔴 ป้าย SELL (สีแดง): จะโผล่เหนือแท่งเทียน
แปลว่า: เทรนด์เป็นขาลง + แรงขายมา + ผ่านเงื่อนไขกรองต่างๆ แล้ว
B. เส้นเป้าหมายกำไร/ขาดทุน (TP/SL Lines)
ระบบคำนวณให้อัตโนมัติ ไม่ต้องนั่งวัดเอง!
- เส้นสีน้ำเงิน: จุดเข้า (Entry)
- เส้นสีเขียวอ่อน (TP1, TP2): เป้าทำกำไรระยะใกล้
เส้นสีเขียวเข้ม (TP3): เป้าทำกำไรระยะไกล
เส้นสีแดง (SL): จุดยอมแพ้ (Stop Loss)
C. โหมดพิเศษ: Strict Filter (โหมดเข้มงวด)
- ค่าปกติ (False): ใช้แค่ Level 1 + Level 2 ก็เกิดสัญญาณแล้ว (สัญญาณเยอะหน่อย)
- ถ้าเปิดใช้ (True): ต้องผ่าน Level 1 + 2 + 3 ถึงจะเกิดสัญญาณ (สัญญาณน้อย แต่แม่นยำสูงมาก)
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🛠️ วิธีตั้งค่าและปรับแต่ง (Settings)
ในหน้าตั้งค่า (รูปเฟือง) คุณสามารถปรับจูนได้ตามใจชอบ:
1. Show BUY/SELL Signals: ติ๊กออกถ้าไม่อยากเห็นป้ายสัญญาณ
2. Use Strict Filter: ติ๊กถูกถ้าอยากได้สัญญาณแม่นๆ (แต่รอนานหน่อย)
3. Point Size: สำคัญมาก! ใช้กำหนดระยะ TP/SL
- ถ้าเทรดทอง (XAUUSD) ตั้งค่าพื้นฐาน 0.01 เท่านั้น
- ถ้าเทรดคู่เงิน (Forex) อาจจะปรับเป็น 0.0001
- แนะนำให้ลองปรับจนเส้น TP/SL บนกราฟดูสมเหตุสมผล
4. TP/SL Points: กำหนดระยะจุดกำไรขาดทุนที่ต้องการ (เช่น TP1 = 50 จุด)
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💡 คำแนะนำเพิ่มเติม (Tips)
- เวลาเทรด: โค้ดนี้ฉลาดมาก มันมีการเช็คเวลา (Session) ให้ด้วย โดยอิงเวลา GMT+7 (เวลาไทย) โดยจะเทรดเฉพาะช่วงที่มีตลาดหลักเปิด (Sydney, Tokyo, London, NY) ช่วงตลาดวายดึกๆ หรือเช้ามืดเงียบๆ มันจะไม่บอกสัญญาณ
- Timeframe ที่แนะนำ: เนื่องจากเขียนมาเพื่อ Scalping แนะนำให้ใช้กับ M5, M15 หรือ M30 จะเห็นผลดีที่สุดครับ
- การบริหารเงิน (MM): แม้ระบบจะมี SL ให้ แต่คุณควรคำนวณ Lot Size ให้เหมาะสม ไม่ควร Overtrade ครับ
Filter Wave1. Indicator Name
Filter Wave
2. One-line Introduction
A visually enhanced trend strength indicator that uses linear regression scoring to render smoothed, color-shifting waves synced to price action.
3. General Overview
Filter Wave+ is a trend analysis tool designed to provide an intuitive and visually dynamic representation of market momentum.
It uses a pairwise comparison algorithm on linear regression values over a lookback period to determine whether price action is consistently moving upward or downward.
The result is a trend score, which is normalized and translated into a color-coded wave that floats above or below the current price. The wave's opacity increases with trend strength, giving a visual cue for confidence in the trend.
The wave itself is not a raw line—it goes through a three-stage smoothing process, producing a natural, flowing curve that is aesthetically aligned with price movement.
This makes it ideal for traders who need a quick visual context before acting on signals from other tools.
While Filter Wave+ does not generate buy/sell signals directly, its secure and efficient design allows it to serve as a high-confidence trend filter in any trading system.
4. Key Advantages
🌊 Smooth, Dynamic Wave Output
3-stage smoothed curves give clean, flowing visual feedback on market conditions.
🎨 Trend Strength Visualized by Color Intensity
Stronger trends appear with more solid coloring, while weak/neutral trends fade visually.
🔍 Quantitative Trend Detection
Linear regression ordering delivers precise, math-based trend scoring for confidence assessment.
📊 Price-Synced Floating Wave
Wave is dynamically positioned based on ATR and price to align naturally with market structure.
🧩 Compatible with Any Strategy
No conflicting signals—Filter Wave+ serves as a directional overlay that enhances clarity.
🔒 Secure Core Logic
Core algorithm is lightweight and secure, with minimal code exposure and strong encapsulation.
📘 Indicator User Guide
📌 Basic Concept
Filter Wave+ calculates trend direction and intensity using linear regression alignment over time.
The resulting wave is rendered as a smoothed curve, colored based on trend direction (green for up, red for down, gray for neutral), and adjusted in transparency to reflect trend strength.
This allows for fast trend interpretation without overwhelming the chart with signals.
⚙️ Settings Explained
Lookback Period: Number of bars used for pairwise regression comparisons (higher = smoother detection)
Range Tolerance (%): Threshold to qualify as an up/down trend (lower = more sensitive)
Regression Source: The price input used in regression calculation (default: close)
Linear Regression Length: The period used for the core regression line
Bull/Bear Color: Customize the color for bullish and bearish waves
📈 Timing Example
Wave color changes to green and becomes more visible (less transparent)
Wave floats above price and aligns with an uptrend
Use as trend confirmation when other signals are present
📉 Timing Example
Wave shifts to red and darkens, floating below the price
Regression direction down; price continues beneath the wave
Acts as bearish confirmation for short trades or risk-off positioning
🧪 Recommended Use Cases
Use as a trend confidence overlay on your existing strategies
Especially useful in swing trading for detecting and confirming dominant market direction
Combine with RSI, MACD, or price action for high-accuracy setups
🔒 Precautions
This is not a signal generator—intended as a trend filter or directional guide
May respond slightly slower in volatile reversals; pair with responsive indicators
Wave position is influenced by ATR and price but does not represent exact entry/exit levels
Parameter optimization is recommended based on asset class and timeframe
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum
Technical Overview
This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events.
The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds.
Core Logic & Calculation
1. Volume Decomposition Algorithm
Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range:
- Buying Volume (vb): Increases as the close approaches the High.
- Selling Volume (vs): Increases as the close approaches the Low.
This logic allows the detection of directional flow even within standard volume bars.
2. Statistical Spectrum
The indicator renders deviations from the Basis (SMA) as two distinct zones:
- Bullish Zone (Blue): Price positioning between the Basis and Upper Band.
- Bearish Zone (Red): Price positioning between the Basis and Lower Band.
This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise.
3. Non-Repainting Execution
To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle.
Signal Definitions
Signals are generated only when specific Volatility and Volume conditions intersect:
Reversal Setups (Reaction to Liquidity)
- WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally.
- FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop.
- ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume).
Momentum Setups (Trend Continuation)
- POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body.
- PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume.
- TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume).
Exhaustion Setups (Statistical Extremes)
- CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion.
Input Parameters
- Bollinger Logic: Configuration for Length and Standard Deviation Multiplier.
- Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax).
- Timeframe Layers: Toggle visibility for up to 5 higher timeframes.
- Theme: Adjusts label contrast for Dark/Light backgrounds.
Disclaimer
This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
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🚨 CURRENT TRIGGER SIGNAL 🚨
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🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 ％
🛑 SL: 2.0 ％
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (％)
🛑 SL: 2.0 (％)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 ％ (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 ％ (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 ％
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 ％
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 ％
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
CCI Zero Line StrategyCCI Zero Line Strategy i have created this using cci just check in different time frame you and check the results
Crypto Flow Dash - LiteCrypto Flow Dash – Lite
Overview:
Crypto Flow Dash – Lite delivers a streamlined, mobile-friendly dashboard for monitoring the top crypto market movers. Track price, volume, and program activity in real time with intuitive visuals. Perfect for education, research, and market awareness.
Key Features:
📊 Top Cryptos at a Glance: BTC, ETH, SOL (plus a single favorite of your choice)
🟢🔴 Daily Price Direction: Easy-to-read indicators for up/down moves
📈 Volume Multipliers: Highlights unusual activity with color-coded alerts
⚡ Program Activity: Quickly identify program buys and sells across tracked cryptos
📱 Mobile-Friendly Scaling: Optional compact display for smaller screens
🖤 Customizable Table Layout: Adjust table position and colors for your workflow
Notes:
Free edition contains limited features compared to the PRO version
Educational and informational use only — not trading advice
Alzeerr Scalping StrategyAlzeerr Scalping Strategy
A high-precision intraday scalping strategy that combines VWAP, support/resistance levels, volume confirmation, RSI momentum shifts, and reversal candlestick patterns to identify low-risk, high-accuracy trade entries. The strategy only trades in the direction of the trend relative to VWAP, focuses on high-probability pullback entries, and uses tight stop-losses with small, consistent profit targets. Designed to maximize accuracy and minimize drawdown during high-liquidity market sessions.
9/15 EMA Scalper 9/15 EMA Scalper — by uzairbaloch
This script is a price-action based scalping system built around the 9 EMA and 15 EMA trend structure.
It identifies short-term reversal points where the market pulls back into the EMAs and confirms direction with a strong candle signal.
The strategy looks for:
• A clear EMA trend (9 above 15 for buys, 9 below 15 for sells)
• Pullback into EMA9/EMA15 with candle bodies touching the fast EMA
• Strong confirmation candle (engulfing / strong momentum / controlled wick)
• Optional slope filter to avoid flat, choppy sessions
• Automatic trade labels showing Entry, SL and TP (based on R:R)
The script is designed for scalping on gold, indices, and high-volatility FX pairs.
It resets trade logic immediately after SL or TP is hit, so it can catch the next valid signal without delay.
This tool is meant as an indicator — not a full strategy — and can be used to visually mark high-probability EMA pullback setups with precise levels.
Author: uzairbaloch
Liquidation Cascade Detector [QuantAlgo]🟢 Overview
The Liquidation Cascade Detector employs multi-dimensional microstructure analysis to identify forced liquidation events by synthesizing volume anomalies, price acceleration dynamics, and volatility regime shifts. Unlike conventional momentum indicators that merely track directional bias, this indicator isolates the specific market conditions where leveraged positions experience forced unwinding, creating asymmetric opportunities for mean reversion traders and market makers to take advantage of temporary liquidity imbalances.
These liquidation cascades manifest through various catalysts: overwhelming spot selling coupled with leveraged long liquidation forced unwinding creates downward spirals where organic sell pressure triggers margin calls, which generate additional selling that triggers more margin calls. Conversely, sudden large buy orders or coordinated buying can squeeze overleveraged shorts, forcing buy-to-cover orders that push price higher, triggering additional short stops in a self-reinforcing feedback loop. The indicator captures both scenarios, regardless of whether the initial catalyst is organic flow or forced liquidation.
For sophisticated traders/market makers deploying amplification strategies, this indicator serves as an early warning system for distressed order flow. By detecting the moments when cascading stop-losses and margin calls create self-reinforcing price movements, the system enables traders to: (1) identify forced participants experiencing capital pressure, (2) strategically add liquidity in the direction of panic flow to amplify displacement, (3) accumulate contra-positions during the overshoot phase, and (4) capture mean reversion profits as equilibrium pricing reasserts itself. This approach transforms destructive liquidation events into potential profit opportunities by systematically front-running and then fading coordinated forced selling/buying.
🟢 How It Works
The detection engine operates through a three-tier confirmation framework that validates liquidation events only when multiple independent market stress indicators align simultaneously:
► Tier 1: Volume Anomaly Detection
The system calculates bar-to-bar volume ratios to identify abnormal participation spikes characteristic of forced liquidations. The Volume Spike threshold filters for transactions where current volume significantly exceeds previous bar volume. When leveraged positions hit stop-losses or margin requirements, their simultaneous unwinding creates distinctive volume signatures absent during organic price discovery. This metric isolates moments when market makers face one-sided order flow from distressed participants unable to control execution timing, whether triggered by whale orders absorbing liquidity or cascading margin calls creating relentless directional pressure.
► Tier 2: Price Acceleration Measurement
By comparing current bar's absolute body size against the previous bar's movement, the algorithm quantifies momentum acceleration. The Price Acceleration threshold identifies scenarios where price velocity increases dramatically, a hallmark of cascading liquidations where each stop-loss triggers additional stops in a feedback loop. This calculation distinguishes between gradual trend development (irrelevant for amplification attacks) and explosive moves driven by forced order flow requiring immediate liquidity provision. The metric captures both panic selling scenarios where spot sellers overwhelm bid liquidity triggering long liquidations, and short squeeze dynamics where aggressive buying exhausts offer-side depth forcing short covering.
► Tier 3: Volatility Expansion Analysis
The indicator measures bar range expansion by computing the current high-low range relative to the previous bar. The Volatility Spike threshold captures regime shifts where intrabar price action becomes erratic, evidence that market depth has evaporated and order book imbalance is driving price. Combined with body-to-range analysis indicating strong directional conviction, this metric confirms that volatility expansion reflects genuine liquidation pressure rather than random noise or low-volume chop.
*Supplementary Confirmation Metrics
Beyond the three primary detection tiers, the system analyzes additional candle characteristics that distinguish genuine liquidation events from ordinary volatility:
► Candle Strength: Measures the ratio of candle body size to total bar range. High readings (above 60%) indicate strong directional conviction where price moved decisively in one direction with minimal retracement. During liquidations, distressed traders execute market orders that drive price aggressively without the normal back-and-forth of balanced trading. Strong-bodied candles with minimal wicks confirm forced participants are accepting any available price rather than attempting to minimize slippage, validating that observed volume and price acceleration stem from liquidation pressure rather than routine trading.
► Volume Climax: Identifies when current volume reaches the highest level within recent history. Climax volume events mark terminal liquidation phases where maximum panic or squeeze intensity occurs. These extreme participation spikes typically represent the final wave of forced exits as the last remaining stops are triggered or the final shorts capitulate. For mean reversion traders, volume climax signals provide optimal reversal entry timing, as they mark maximum displacement from equilibrium when all forced sellers/buyers have been exhausted.
*Directional Classification
The system categorizes cascades into two actionable classes:
1. Short Liquidation (Bullish Cascade): Upward price movement combined with cascade patterns equals forced short covering. This occurs when aggressive spot buying (often from whales placing large market orders) or coordinated buy programs exhaust available offer liquidity, spiking price upward and triggering clustered short stop-losses. Short sellers experiencing margin pressure must buy-to-close regardless of price, creating artificial demand spikes that compound the initial buying pressure. The combination of organic buying and forced covering creates explosive upward moves as each liquidated short adds buy-side pressure, triggering additional shorts in a self-reinforcing loop. Market makers can amplify this by lifting offers ahead of forced buy orders, then selling into the exhaustion at elevated levels.
2. Long Liquidation (Bearish Cascade): Downward price movement combined with cascade patterns equals forced long liquidation. This manifests when heavy spot selling (panic sellers, large institutional unwinds, or coordinated distribution) overwhelms bid-side liquidity, breaking through support levels where long stop-losses cluster. Over-leveraged longs facing margin calls must sell-to-close at any price, generating artificial supply waves that compound the initial selling pressure. The dual force of organic selling coupled with forced long liquidation creates downward spirals where each margin call triggers additional margin calls through further price deterioration. Amplification opportunities exist by hitting bids ahead of panic selling, accumulating long positions during the capitulation, and reversing as sellers exhaust.
🟢 How to Use
1. For Mean Reversion Traders
When the indicator highlights a short liquidation cascade (green background), this signals that shorts are experiencing forced buy-to-cover pressure, often initiated by whale bids or aggressive spot buying that triggered the squeeze. Mean reversion traders can interpret this as a temporary upward dislocation from fair value. As the dashboard shows declining momentum metrics and the cascade highlighting stops, this represents a potential fade opportunity. Enter short positions expecting price to revert back toward pre-cascade levels once the forced buying exhausts and the initial large buyer completes their accumulation.
When a long liquidation cascade triggers (red background), longs are undergoing forced sell-to-close liquidation, typically catalyzed by overwhelming spot selling that breached key support levels. This creates artificial downward pressure disconnected from fundamental value, as margin-driven forced selling compounds organic sell flow. Mean reversion traders wait for the cascade to complete (dashboard transitions from active liquidation status to neutral), then enter long positions anticipating snap-back toward equilibrium pricing as panic subsides and forced sellers are exhausted.
You can also monitor the dashboard's Volume Climax indicator. When it displays "YES" during an active cascade, this suggests the liquidation is reaching its terminal phase, whether driven by the final shorts being squeezed out or the last leveraged longs capitulating. Mean reversion entries become highest probability at this point, as maximum displacement from fair value has occurred. Wait for the next 1-3 bars after climax confirmation, then enter contra-trend positions with tight stops.
The Candle Strength metric also helps validate entry timing. When candle strength readings drop significantly after maintaining elevated levels during the cascade, this divergence indicates absorption is occurring. Market makers are stepping in to provide liquidity, supporting your mean reversion thesis. Strong candle bodies during the cascade followed by weaker bodies signal the forced flow is diminishing.
2. For Momentum & Trend Following Traders
When price breaks through a significant resistance level and immediately triggers a short liquidation cascade (green background), this confirms breakout validity through forced participation. Shorts positioned against the breakout are now experiencing margin pressure from the combination of breakout momentum and potential whale buying, creating self-reinforcing buying that propels price higher. Enter long positions during the cascade or immediately after, as the forced covering provides fuel for extended momentum continuation.
Conversely, when price breaks below key support and triggers a long liquidation cascade (red background), the breakdown is validated by forced selling from trapped longs. Heavy spot selling coupled with margin liquidations creates accelerated downside momentum as liquidations cascade through clustered stop-loss levels. Enter short positions as the cascade develops, riding the combined force of organic selling and forced liquidation for extended trend moves.
3. For Sophisticated Traders & Market Makers
► Amplification Attack Execution
Sophisticated operators can exploit cascades through systematic amplification positioning. When a short liquidation is detected (green highlight activating), often initiated by whale bids absorbing offer liquidity, place aggressive buy orders to front-run and amplify the forced short covering. This exacerbates upward pressure, pushing price further from equilibrium and triggering additional clustered stops. Simultaneously begin accumulating short positions at these artificially elevated levels. As dashboard metrics indicate cascade exhaustion (volume spike declining, climax signal appearing, candle strength weakening), flatten amplification longs and hold accumulated shorts into the mean reversion.
For long liquidations (red highlight), typically catalyzed by heavy spot selling overwhelming bid depth, execute the inverse strategy. Place aggressive sell orders to compound the panic selling, amplifying downward displacement and accelerating margin call triggers. Layer long entries at depressed prices during this amplification phase as forced liquidation selling creates artificial supply. When dashboard signals cascade completion (metrics normalizing, volume climax passing), exit amplification shorts and maintain long positions for the reversal trade.
► Market Making During Liquidity Crises
During detected cascades, temporarily adjust quote placement strategy. When dashboard shows all three confirmation metrics activating simultaneously with strong candle bodies, this indicates the highest probability liquidation event, whether from whale order flow or cascading margin calls. Widen spreads dramatically to capture enhanced edge during the liquidity vacuum. Alternatively, step away from quote provision entirely on your natural inventory side (stop offering during short cascades driven by aggressive buying, stop bidding during long cascades driven by overwhelming selling) to avoid adverse selection from forced flow.
Use cascade detection to inform inventory management. During short cascades initiated by large buy orders or short squeezes, reduce existing short inventory exposure while allowing the forced buying to push price higher. Rebuild short inventory only at the inflated levels created by liquidation pressure. During long cascades where spot selling compounds leveraged liquidation, reduce long inventory and use the forced selling to reaccumulate at artificially depressed prices rather than providing stabilizing liquidity too early.
► Sequential Positioning Strategy
Advanced traders can structure trades in phases: (1) Initial amplification orders placed immediately upon cascade detection to front-run forced flow, (2) Contra-position accumulation scaled in as displacement extends and dashboard readings intensify, (3) Amplification trade exit when metrics show deceleration or candle strength weakens, (4) Contra-position hold through mean reversion, targeting pre-cascade price levels. This sequential approach extracts profit from both the dislocation phase and the subsequent equilibrium restoration.
► Risk Monitoring
If cascade highlighting persists across many consecutive bars while dashboard volume readings remain extremely elevated with sustained strong candle bodies, this suggests sustained institutional deleveraging or persistent whale activity rather than simple retail liquidation. Reduce amplification position sizing significantly, as these extended events can exhibit delayed mean reversion. Professional counter-parties may be establishing dominant positions, limiting your edge.
When volatility spike metrics decline while cascade highlighting continues, professional absorption is occurring. Proceed cautiously with amplification strategies, as intelligent liquidity providers are already positioning for the reversal, potentially front-running your intended reversal trade. Similarly, if large liquidation wicks appear during cascades, this indicates partial absorption is happening, suggesting more sophisticated players are taking the opposite side of distressed flow.
Trading Sessions [QuantAlgo]🟢 Overview
The Trading Sessions indicator tracks and displays the four major global trading sessions: Sydney, Tokyo, London, and New York. It provides session-based background highlighting, real-time price change tracking from session open, and a data table with session status. The script works across all markets (forex, equities, commodities, crypto) and helps traders identify when specific geographic markets are active, which directly correlates with changes in liquidity and volatility patterns. Default session times are set to major financial center hours in UTC but are fully adjustable to match your trading methodology.
🟢 Key Features
→ Session Background Color Coding
Each trading session gets a distinct background color on your chart:
1. Sydney Session - Default orange, 22:00-07:00 UTC
2. Tokyo Session - Default red, 00:00-09:00 UTC
3. London Session - Default green, 08:00-16:00 UTC
4. New York Session - Default blue, 13:00-22:00 UTC
When sessions overlap, the color priority is New York > London > Tokyo > Sydney. This means if London and New York are both active, the background shows New York's color. The priority matches typical liquidity and volatility patterns where later sessions generally show higher volume.
→ Color Customization
All session colors are configurable in the Color Settings panel:
1. Click any session color input to open the color picker
2. Select your preferred color for that session
3. Use the "Background Transparency" slider (0-100) to adjust opacity. Lower values = more visible, higher values = more subtle
4. Enable "Color Price Bars" to color candlesticks themselves according to the active session instead of just the background
The Color column in the info table shows a block (█) in each session's assigned color, matching what you see on the chart background.
→ Information Table Breakdown
→ Timeframe Warning
If you're viewing a timeframe of 12 hours or higher, a red warning label appears center-screen. Session boundaries don't render accurately on high timeframes because the time() function in Pine Script can't detect intra-bar session changes when each bar spans multiple sessions. The warning tells you to switch to sub-12H timeframes (e.g., 4H, 1H, 30m, 15m, etc.) for proper session detection. You can disable this warning in Color Settings if needed, but session highlighting can be unreliable on 12H+ charts regardless.
→ Time Range Configuration
Every session's time range is editable in Session Settings:
1. Click the time input field next to each session
2. Enter time as HHMM-HHMM in 24-hour format
3. All times are interpreted as UTC
4. Modify these to account for daylight saving shifts or to define custom session periods based on your backtested optimal trading windows
For example, if your strategy performs best during London/NY overlap specifically, you could set London to 08:00-17:00 and New York to 13:00-22:00 to ensure you see the full overlap highlighted.
→ Weekdays Filter
The "Weekdays Only (Mon-Fri)" toggle controls whether sessions display on weekends:
Enabled: Sessions only show Monday-Friday and hide on Saturday-Sunday. Use this for markets that close on weekends (most equities, forex).
Disabled: Sessions display 24/7 including weekends. Use this for markets that trade continuously (crypto).
→ Table Display Options
The info table has several configuration options in Table Settings:
Visibility: Toggle "Show Info Table" on/off to display or hide the entire table.
Position: Nine position options (Top/Middle/Bottom + Left/Center/Right) let you place the table wherever it doesn't block your price action or other indicators.
Text Size: Four size options (Tiny, Small, Normal, Large) to match your screen resolution and visual preferences.
→ Color Schemes:
Mono: Black background, gray header, white text
Light: White background, light gray header, black text
Blue: Dark blue background, medium blue header, white text
Custom: Manual selection of all five color components (table background, header background, header text, data text, borders)
→ Alert Functionality
The indicator includes ten alert conditions you can access via TradingView's alert system:
Session Opens:
1. Sydney Session Started
2. Tokyo Session Started
3. London Session Started
4. New York Session Started
5. Any Session Started
Session Closes:
6. Sydney Session Ended
7. Tokyo Session Ended
8. London Session Ended
9. New York Session Ended
10. Any Session Ended
These alerts fire when sessions transition based on your configured time ranges, letting you automate monitoring of session changes without watching the chart continuously. Useful for strategies that trade specific session opens/closes or need to adjust position sizing when volatility regime shifts between sessions.
[Algoros] BTC Major Trendline# BTC Major Trendline - Long-Term Bitcoin Trend Analysis
## Overview
BTC Major Trendline is a comprehensive technical analysis tool designed to track Bitcoin's long-term bullish trajectory using historically significant price points. This indicator establishes a primary upward trendline anchored to two major Bitcoin cycle lows, along with optional parallel channels and Fibonacci-based price projections.
## ⚠️ Important Requirements
**This indicator requires a Bitcoin chart with sufficient historical data dating back to at least April 2013.**
**✅ Recommended Charts:**
- `INDEX:BTCUSD` - Bitcoin Index (comprehensive history)
- `BITSTAMP:BTCUSD` - Bitstamp Bitcoin (default setting)
**❌ Will NOT work properly on:**
- Charts with limited history (Like hourly charts)
- Exchanges that launched after 2013
- Altcoin pairs or other cryptocurrencies
If the indicator doesn't display correctly, switch to one of the recommended Bitcoin charts above.
## Key Features
### 📈 Primary Trendline
- Anchored to two historically significant lows:
- **Start Point**: July 6, 2013 - Early Bitcoin accumulation phase
- **End Point**: November 21, 2022 - FTX collapse bottom
- Automatically calculates and extends the trendline based on these anchor points
- Displayed as a solid orange line
### 🔷 Parallel Channel Line (Optional)
- Creates an upper boundary by connecting historical high points:
- April 10, 2013 and June 11, 2017
- Helps identify potential resistance zones and channel breakouts
- Displayed as a blue dotted line for easy distinction
### 🎯 Fibonacci Trendline Multipliers (Optional)
- Seven Fibonacci-based projection lines: **1.6x, 2x, 3x, 5x, 8x, 13x, and 21x**
- Each multiplier creates a parallel trendline above the main trend
- Color-coded from teal to maroon for clear visual separation
- Useful for identifying potential profit-taking zones and long-term price targets
### 📉 Negative Fibonacci Trendlines (Optional)
- Seven division-based support lines: **÷1.6, ÷2, ÷3, ÷5, ÷8, ÷13, and ÷21**
- Projects downward channels below the main trendline
- Displayed in yellow tones for easy identification
- Helps identify extreme oversold conditions and potential bounce zones
## Customization Options
- **Symbol Input**: Track any Bitcoin pair with sufficient history (default: BITSTAMP:BTCUSD)
- **Show/Hide Components**: Toggle parallel line, Fibonacci multipliers, and negative Fibonacci lines independently
- **Line Extension**: Extend lines right, left, both directions, or none
- **Multi-Timeframe Compatible**: View on any timeframe once loaded on a compatible chart
## How to Use
1. **Setup**: First, open a Bitcoin chart with sufficient history (INDEX:BTCUSD or BITSTAMP:BTCUSD recommended)
2. **Trend Confirmation**: The main orange trendline represents the long-term bullish trajectory. Price staying above this line suggests the bull market remains intact.
3. **Channel Trading**: Use the parallel line (blue dotted) as a potential upper boundary for the long-term channel.
4. **Price Targets**: Enable Fibonacci multiplier lines to identify ambitious long-term price targets during bull runs. Higher multipliers (13x, 21x) represent parabolic extension zones.
5. **Support Identification**: Enable negative Fibonacci lines to spot potential support zones during corrections or bear markets.
6. **Risk Management**: Breaking below the main trendline could signal a shift in long-term trend, warranting caution.
## Technical Implementation
- Uses `request.security()` to fetch precise daily prices at historical timestamps
- Requires access to Bitcoin price data from April 2013 onwards
- Calculates slope dynamically based on anchor points
- All lines update in real-time as new price data emerges
- Efficient rendering system minimizes performance impact
## Best Used For
✅ Long-term Bitcoin investors and HODLers
✅ Identifying major trend direction
✅ Setting realistic long-term price targets
✅ Spotting potential support/resistance zones
✅ Multi-timeframe analysis (on compatible charts)
✅ Educational purposes (understanding logarithmic growth)
## Troubleshooting
**Lines not appearing?**
- Ensure you're viewing INDEX:BTCUSD or BITSTAMP:BTCUSD
- Check that the chart has data back to April 2013
- Verify the symbol input matches your chart
- Try switching to a daily or weekly timeframe first
Smart RSI Money Flow - Core Bands V1.01SMART RSI – Money Flow Bands (Technical Overview)
1. Background: RSI and Its Behavior on Lower Timeframes
The Relative Strength Index (RSI) originally is a momentum oscillator calculated from average gains and losses over a selected period. In its standard form, RSI is derived solely from price changes; it does not incorporate volume data or order-flow information in its formula.
Because RSI is price-based, its interpretation depends strongly on the timeframe:
• On higher timeframes, each bar aggregates more trading activity, and RSI tends to behave more smoothly.
• On lower timeframes (1-hour down to intraday scalping intervals), price fluctuations are quicker, and RSI becomes more sensitive to short-term noise.
This does not imply that RSI becomes invalid, but that its signals on fast charts can be more reactive and may benefit from additional context such as volume behavior or structural information.
2. Purpose of This Indicator
This indicator extends the classical RSI by adding information that RSI does not include:
• Mapping RSI values into price-based bands instead of the 0–100 oscillator space.
• Retrieving lower timeframe volume data and separating it into buy and sell components.
• Comparing the slope (angle) of price movement with the slope of buy and sell volume.
The goal is to provide a structural interpretation of where price sits relative to RSI conditions and how volume is behaving on a lower timeframe.
3. Technical Differences Compared to Classical RSI
A) Classical RSI
• Input: price only (usually close).
• Output: normalized oscillator between 0 and 100.
• Does not incorporate intra-bar volume distribution.
• Does not separate buy/sell volume.
B) SMART RSI – Money Flow Bands
1) RSI-to-Price Mapping
Converts RSI values into upper/lower price bands using recent price extremes.
2) Lower Timeframe Volume Decomposition
Retrieves LTF data and splits each bar’s volume into buy (close>open) and sell (close
Frequency Momentum Oscillator [QuantAlgo]🟢 Overview
The Frequency Momentum Oscillator applies Fourier-based spectral analysis principles to price action to identify regime shifts and directional momentum. It calculates Fourier coefficients for selected harmonic frequencies on detrended price data, then measures the distribution of power across low, mid, and high frequency bands to distinguish between persistent directional trends and transient market noise. This approach provides traders with a quantitative framework for assessing whether current price action represents meaningful momentum or merely random fluctuations, enabling more informed entry and exit decisions across various asset classes and timeframes.
🟢 How It Works
The calculation process removes the dominant trend from price data by subtracting a simple moving average, isolating cyclical components for frequency analysis:
detrendedPrice = close - ta.sma(close , frequencyPeriod)
The detrended price series undergoes frequency decomposition through Fourier coefficient calculation across the first 8 harmonics. For each harmonic frequency, the algorithm computes sine and cosine components across the lookback window, then derives power as the sum of squared coefficients:
for k = 1 to 8
cosSum = 0.0
sinSum = 0.0
for n = 0 to frequencyPeriod - 1
angle = 2 * math.pi * k * n / frequencyPeriod
cosSum := cosSum + detrendedPrice * math.cos(angle)
sinSum := sinSum + detrendedPrice * math.sin(angle)
power = (cosSum * cosSum + sinSum * sinSum) / frequencyPeriod
Power measurements are aggregated into three frequency bands: low frequencies (harmonics 1-2) capturing persistent cycles, mid frequencies (harmonics 3-4), and high frequencies (harmonics 5-8) representing noise. Each band's power normalizes against total spectral power to create percentage distributions:
lowFreqNorm = totalPower > 0 ? (lowFreqPower / totalPower) * 100 : 33.33
highFreqNorm = totalPower > 0 ? (highFreqPower / totalPower) * 100 : 33.33
The normalized frequency components undergo exponential smoothing before calculating spectral balance as the difference between low and high frequency power:
smoothLow = ta.ema(lowFreqNorm, smoothingPeriod)
smoothHigh = ta.ema(highFreqNorm, smoothingPeriod)
spectralBalance = smoothLow - smoothHigh
Spectral balance combines with price momentum through directional multiplication, producing a composite signal that integrates frequency characteristics with price direction:
momentum = ta.change(close , frequencyPeriod/2)
compositeSignal = spectralBalance * math.sign(momentum)
finalSignal = ta.ema(compositeSignal, smoothingPeriod)
The final signal oscillates around zero, with positive values indicating low-frequency dominance coupled with upward momentum (trending up), and negative values indicating either high-frequency dominance (choppy market) or downward momentum (trending down).
🟢 How to Use This Indicator
→ Long/Short Signals: the indicator generates long signals when the smoothed composite signal crosses above zero (indicating low-frequency directional strength dominates) and short signals when it crosses below zero (indicating bearish momentum persistence).
→ Upper and Lower Reference Lines: the +25 and -25 reference lines serve as threshold markers for momentum strength. Readings beyond these levels indicate strong directional conviction, while oscillations between them suggest consolidation or weakening momentum. These references help traders distinguish between strong trending regimes and choppy transitional periods.
→ Preconfigured Presets: three optimized configurations are available with Default (32, 3) offering balanced responsiveness, Fast Response (24, 2) designed for scalping and intraday trading, and Smooth Trend (40, 5) calibrated for swing trading and position trading with enhanced noise filtration.
→ Built-in Alerts: the indicator includes three alert conditions for automated monitoring - Long Signal (momentum shifts bullish), Short Signal (momentum shifts bearish), and Signal Change (any directional transition). These alerts enable traders to receive real-time notifications without continuous chart monitoring.
→ Color Customization: four visual themes (Classic green/red, Aqua blue/orange, Cosmic aqua/purple, Custom) allow chart customization for different display environments and personal preferences.
Asset vs Total Market Cap & Relative Strength Purpose
This indicator allows traders to compare a selected asset to the major market benchmarks:
BTC – primary crypto market leader
ETH – secondary crypto market leader
USDT.D – shows market risk-on vs risk-off sentiment
TOTAL – total crypto market capitalization, useful for overall market trends
It also provides relative strength calculations:
Rel. Strength = Asset % change - USDT.D % change
Rel. Strength vs Total = Asset % change - Total % change
This allows you to see if your asset is outperforming or underperforming broader benchmarks.
The table covers multiple timeframes, making it easy to scan both short-term and longer-term trends:
Row Timeframe
0 Current
1 15m
2 1H
3 4H
4 1D
Selected Asset / BTC / ETH:
Green for positive % change
Red for negative % change
Gradient intensity proportional to magnitude (maxAbsChange input)
USDT.D:
Orange if rising (risk-off)
Teal if falling (risk-on)
Total Market Cap / Rel. Strength:
Gradient reflects asset performance relative to total market, independent of USDT.D.
Positives
Compact dashboard: Everything is in one table for quick scanning.
Multi-timeframe comparison: Traders can instantly see short-term vs long-term strength.
Relative performance visualization: Gradients immediately highlight outperformers and underperformers.
Benchmark comparisons: Asset vs BTC, ETH, USDT.D, and Total Market Cap.
Independent Rel. Strength: Highlights whether the asset is outperforming even if the total market moves.
Customizable gradient sensitivity: maxAbsChange and maxRelChange allow tuning how “strong” the colors appear.
Chart plotting: Rel. Strength vs total market is plotted for further visual reference.
How to Use
Green table cells → strong positive movement
Red table cells → negative movement
Rel. Strength > 0 → asset outperforming
Rel. Strength < 0 → asset underperforming
Use table to compare relative performance vs BTC, ETH, and total market for informed trading decisions.
WMAX-D-TPS1 (USD setup)Here I show you a strategy that I have been developing for years based on breakouts of maximum and minimum price levels.This work good in 1d
BTC Bull/Bear marketThis indicator plots the 350-period Simple Moving Average (SMA) calculated on the Daily ("D") timeframe.
he color of the SMA line is determined by the closing price of the 2-Week ("2W") timeframe.
1. It fetches the 350-day SMA value (`sma350_daily`).
2. It checks where the *last closed* 2-Week candle finished relative to this SMA line.
3. If the 2W candle closed *above* the 350 SMA, the line is colored GREEN.
4. If the 2W candle closed *below* the 350 SMA, the line is colored RED.
This helps to visualize the long-term trend (350 SMA) confirmed by a higher (2W) timeframe bias, using non-repainting logic (`close `) for the color signal.
Cumulative Delta_Effort vs Result_immy**Cumulative Delta Oscillator\_effort**
This script creates a “Cumulative Delta Effort vs Result” oscillator, a custom indicator designed to measure the balance between buying and selling pressure (Effort) versus actual price movement (Result).
**How It Works**
Delta Volume: Measures aggressive buying vs selling per candle.
Cumulative Delta: Tracks net buying/selling pressure over time.
Effort vs Result: Compares volume delta (effort) to price movement (result).
Oscillator: Highlights divergence between effort and result, useful for spotting absorption (high effort, low result) and exhaustion (low effort, high result).
Histogram: Visual cue for accumulation/distribution zones.
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This indicator combines volume delta (effort) and price movement (result), so it tells you how efficiently volume is moving price — a concept sometimes called effort vs. result analysis in Wyckoff or volume–spread analysis (VSA).
🔍 Concept Summary
Effort (delta volume) = how much buying/selling pressure is there (volume side).
Result (price change) = how much that effort moves price (price side).
Oscillator (Effort − Result) = how much “extra” effort is not producing movement — often showing absorption or exhaustion.
📈 How to Interpret the Signals
1\. Oscillator above Signal line → Bullish Momentum
When osc > signal, histogram turns green.
Means buying effort is stronger than price reaction — often early sign of accumulation or rising demand.
This can signal:
Possible bullish continuation if confirmed by rising prices.
Or early absorption if prices aren’t yet breaking out (smart money absorbing supply).
✅ Bullish Entry Signal:
When the oscillator crosses above the signal line (green cross) and price is near support or consolidating → potential long setup.
2\. Oscillator below Signal line → Bearish Momentum
When osc < signal, histogram turns red.
Selling effort dominates; can mean increasing supply or price exhaustion.
This often appears before:
Bearish continuation (trend strengthening)
Or upthrust/exhaustion (price rising on weak volume)
❌ Bearish Entry Signal:
When the oscillator crosses below the signal line (red cross), especially if near resistance → potential short setup.
3\. Crossovers
The alert is triggered when: ta.cross(osc, signal)
That means:
Bullish crossover: oscillator line crosses above signal → potential buy momentum shift.
Bearish crossover: oscillator line crosses below signal → potential sell momentum shift.
These work like MACD crossovers, but volume-adjusted.
4\. Zero Line
The zero line is the neutral point.
When osc crosses above zero, overall buying effort exceeds price change — market gaining strength.
When osc crosses below zero, selling pressure increases — market weakening.
→ Combining signal line crosses with zero-line crosses gives stronger confirmation.
5\. Histogram Analysis (Absorption \& Exhaustion)**
Tall green bars: rising momentum (buyers dominate)
Tall red bars: falling momentum (sellers dominate)
Shrinking bars: momentum fading — possible reversal zone.
If volume increases but price stalls, oscillator may spike while price stays flat — absorption (big players taking the opposite side).
If price surges but oscillator weakens, exhaustion — move running out of volume support.
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🧠 Practical Strategy Example
Situation What It Might Mean Possible Action
Oscillator crosses above signal near support Buyer effort increasing, price may rise Go long / close shorts
Oscillator crosses below signal near resistance Seller effort rising, price may drop Go short / take profits
Oscillator high but price flat Absorption (big players absorbing supply) Wait for breakout confirmation
Oscillator low but price flat Absorption (demand absorbing supply) Look for bullish reversal
Oscillator diverges from price Volume–price divergence Early warning of reversal
⚙️ Best Practice
Works best on volume-sensitive assets (futures, crypto, forex tick data).
**Combine with:**
Price structure (support/resistance)
Volume profile / delta footprint
Candle confirmation
We’ll go through both bullish and bearish examples so you can see how to trade with it in real market context.
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🟩 Example 1 — Bullish Setup (Long Trade)
Step 1. Context: Identify Potential Support Zone
Before relying on any indicator, find support using:
Previous swing low
Demand zone
VWAP / volume profile node
Trendline or moving average
👉 You’re looking for a place where buyers might step in.
Step 2. Wait for Oscillator Signal
Watch the oscillator panel:
The oscillator (green line) has been below the signal line (orange) → bearish phase.
Then it crosses above the signal line and the histogram turns green.
This means:
➡️ Buying “effort” is increasing faster than price reaction — momentum shift upward.
Step 3. Confirm with Price
On your chart:
Candle closes above short-term resistance or above previous candle high
Ideally volume confirms (green candle with increasing volume)
✅ Bullish Entry Condition
osc crosses above signal
price closes above local resistance
Step 4. Entry \& Stop
Entry: Next candle open after confirmation cross
Stop-loss: Below recent swing low or support zone
Take profit:
2R or 3R target
or near next resistance level
🧠 Optional filter: Only take the trade if oscillator is rising from below zero (coming out of weakness).
Step 5. Manage Trade
If oscillator flattens or starts curling down → tighten stop
If it crosses below the signal again → consider exit
Example Interpretation:
Oscillator crosses above signal from -200 to +100, histogram turns green, price breaks a resistance line → strong bullish reversal → enter long.
🟥 Example 2 — Bearish Setup (Short Trade)
Step 1. Context: Find Resistance
Look for: Prior swing high
Supply zone
Major moving average
Trendline top
Step 2. Wait for Oscillator Cross Down
The oscillator (green) crosses below the signal line (orange).
Histogram turns red.
This means:
➡️ Selling effort is rising relative to price movement — bearish pressure.
Step 3. Confirm with Price
Price fails to make higher highs, or
Forms a bearish engulfing candle near resistance.
✅ Bearish Entry Condition
osc crosses below signal
price confirms with bearish candle
Step 4. Entry \& Stop
Entry: On next candle open
Stop-loss: Above resistance or recent swing high
Take profit: 2R or more or at next major support
Step 5. Exit on Opposite Signal
If oscillator crosses back above signal → momentum shift → exit short.
⚙️ Pro Tips
Tip Why It Matters
Use on 15m–4H+ charts More reliable delta signal
Combine with volume or OBV Confirms “effort” strength
Watch divergences Early reversals
Align with higher timeframe trend Avoid countertrend traps
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🧩 Quick Checklist
Step Condition Action
1 Identify zone (support/resistance) Mark area
2 Oscillator crossover Prepare order
3 Candle confirmation Enter
4 Stop-loss \& target Manage risk
5 Opposite cross Exit
Please follow and like if you appreciate my work. thank you.
McRib Release Dates IndicatorMarks the McRib release dates from 2019-Current. Previous dates from Pre-2019 weren't clear enough to include accurate info. Goated Indicator. 67 😎
Volume Cluster Support and Resistance Levels [QuantAlgo]🟢 Overview
This indicator identifies statistically significant support and resistance levels through volume cluster analysis, isolating price zones characterized by elevated trading activity and institutional participation. By quantifying areas where volume concentration exceeded historical norms, it reveals price levels with demonstrated supply-demand imbalances that exhibit persistent influence on subsequent price action. The methodology is asset-agnostic and timeframe-independent, applicable across equities, cryptocurrencies, forex, and commodities from intraday to weekly intervals.
🟢 Key Features
1. Support and Resistance Levels
The indicator scans historical price data to identify bars where volume exceeds a user-defined threshold multiplier relative to the rolling average. For each qualifying bar, a representative price is calculated using the average of high, low, and close. Proximate price levels within a specified percentage range are then aggregated into discrete clusters using volume-weighted averaging, eliminating redundant signals. Clusters are ranked by cumulative volume to determine statistical significance. Finally, the indicator plots horizontal levels at each cluster price: support levels (green) below current price indicate zones where historical buying pressure exceeded selling pressure, while resistance levels (red) above current price mark zones where sellers historically dominated. These levels represent areas of established liquidity and price discovery, where institutional order flow previously concentrated.
The Touch Count (T) metric quantifies historical price interaction frequency, while Total Volume (TV) measures aggregate trading activity at each level, providing objective criteria for assessing level strength and trade execution decisions.
2. Volume Histogram
A histogram appears below the price chart, displaying relative volume for each bar within the lookback period, with bar height scaled to the maximum volume observed. Green bars represent up-periods (close > open) indicating buying pressure, while red bars show down-periods (close < open) indicating selling pressure. This visualization helps you confirm the validity of support/resistance levels by seeing where volume actually spiked, identify accumulation/distribution patterns, and validate breakouts by checking if they occur on above-average volume.
3. Built-in Alerts
Automated alerts trigger when price crosses below support levels or breaks above resistance levels, allowing you to monitor multiple assets without constant chart-watching.
4. Customizable Color Schemes
The indicator provides four preset color configurations (Classic, Aqua, Cosmic, Custom) optimized for visual clarity across different charting environments. Each scheme maintains consistent color mapping for support and resistance zones across both level lines and volume histogram components. The Custom configuration permits full color specification to accommodate individual charting setups, ensuring optimal visual contrast for extended analysis sessions.
Classic:
Aqua:
Cosmic:
Custom:
🟢 Pro Tips
→ Trade entry optimization: Execute long positions at support levels with high touch counts or upon confirmed resistance breakouts accompanied by above-average volume
→ Risk parameter definition: Position stop-loss orders near identified support/resistance zones with statistical significance to minimize premature exits
→ Breakout validation: Require volume confirmation exceeding historical average when price penetrates resistance to filter false breakouts
→ Level strength assessment: Prioritize levels with higher touch counts and total volume metrics for enhanced probability trade setups
→ Multi-timeframe confluence: Synthesize support/resistance levels across multiple timeframes to identify high-conviction zones where daily support aligns with 4-hour resistance structures
