Dimensional Support ResistanceDimensional Support Resistance
Overview
Dimensional Support Resistance is an open-source overlay indicator that automatically detects and displays clean, non-overlapping support and resistance levels using pivot-based analysis with intelligent filtering. It identifies significant swing highs and lows, filters them by minimum distance to prevent visual clutter, and provides volume-confirmed bounce signals.
What This Indicator Does
The indicator calculates and displays:
Dynamic Pivot Levels - Automatically detected swing highs and lows based on configurable pivot strength
Distance Filtering - Ensures levels are spaced apart by a minimum percentage to prevent overlap
S/R Zones - Visual zones around each level showing the price area of significance
Bounce Detection - Identifies when price reverses at support or resistance levels
Volume Confirmation - Strong signals require above-average volume for confirmation
How It Works
Pivot detection scans for swing highs and lows using a configurable strength parameter. A pivot low requires the low to be lower than all surrounding bars within the strength period.
Signal Generation
The indicator generates bounce signals using TradingView's built-in pivot detection combined with candle reversal confirmation:
Support Bounce: Pivot low forms with bullish close (close > open)
Resistance Bounce: Pivot high forms with bearish close (close < open)
Strong Bounce: Bounce occurs with volume 1.5x above 20-period average
A cooldown period of 15 bars prevents signal spam.
Dashboard Panel
A compact dashboard displays:
Support - Count of active support levels
Resistance - Count of active resistance levels
Dashboard position is configurable (Top Left, Top Right, Bottom Left, Bottom Right).
Visual Elements
Support Lines - Green horizontal lines at support levels
Resistance Lines - Red horizontal lines at resistance levels
S/R Zones - Semi-transparent boxes around levels showing zone width
Price Labels - S: and R: labels showing exact price of nearest levels
BOUNCE Markers - Triangle shapes with text when price bounces at a level
STRONG Markers - Label shapes when bounce occurs with high volume
Input Parameters
Lookback Period (default: 100) - Historical bars to scan for pivots
Pivot Strength (default: 8) - Bars on each side required for valid pivot (higher = fewer but stronger levels)
Max Levels Each Side (default: 2) - Maximum support and resistance levels displayed
Zone Width % (default: 0.15) - Width of zones around each level as percentage of price
Min Distance Between Levels % (default: 1.0) - Minimum spacing between levels to prevent overlap
Show S/R Zones (default: true) - Toggle zone visualization
Show Bounce Signals (default: true) - Toggle signal markers
Support Color (default: #00ff88) - Color for support elements
Resistance Color (default: #ff3366) - Color for resistance elements
Suggested Use Cases
Identify key support and resistance levels for entry and exit planning
Use bounce signals as potential reversal confirmation
Combine with other indicators for confluence-based trading decisions
Monitor strong signals for high-probability setups with volume confirmation
Timeframe Recommendations
Works on all timeframes. Higher timeframes (4H, Daily) provide more significant levels with fewer signals. Lower timeframes show more granular structure but may produce more noise.
Limitations
Pivot detection requires lookback bars, so very recent pivots may not be immediately visible
Bounce signals are based on pivot formation and may lag by the pivot strength period
Levels are recalculated on each bar, so they may shift as new pivots form
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading.
- Made with passion by officialjackofalltrades
Trend Analizi
MTF MomentumThis script identifies momentum for the following three timeframes: 1 minute, 5 minutes, and 15 minutes.
The cantillon terminal [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
Institutional Bias [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
Institutional Bias [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses.
● Originality and Utility
Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence.
● Methodology
The core mechanism drives a custom Liquidity Engine that performs the following steps:
Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation.
Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data.
Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean.
Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal.
● How to Use
The indicator plots labels on the chart when specific High Stress conditions are met during a trend:
SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point.
BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback.
● Inputs
Trend Filter Length: The period for the EMA used to determine the baseline trend direction.
Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score.
Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes.
This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility.
🛠 Methodology & Logic
The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital.
1. Market Structure Filter (200 EMA)
Indicator: Exponential Moving Average (Length 200).
Logic: The 200 EMA acts as the baseline for the long-term trend regime.
Bullish Regime: Price must close above the 200 EMA.
Bearish Regime: Price must close below the 200 EMA.
Purpose: Prevents counter-trend trading against the macro direction.
2. Signal Trigger & Trailing Stop (Supertrend)
Indicator: Supertrend (ATR Length 14, Factor 3.5).
Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility.
Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates.
3. Volatility Gatekeeper (ADX Filter)
Indicator: Average Directional Index (Length 14).
Threshold: > 25.
Logic: A high ADX value indicates a strong trend presence, regardless of direction.
Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail.
4. Momentum Confirmation (DMI)
Indicator: Directional Movement Index (DI+ and DI-).
Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa.
Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike.
📋 How to Use This Strategy
🟢 LONG (BUY) Setup
A Buy signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes ABOVE the 200 EMA (Orange Line).
Trigger: Supertrend flips to GREEN (Bullish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus).
🔴 SHORT (SELL) Setup
A Sell signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes BELOW the 200 EMA (Orange Line).
Trigger: Supertrend flips to RED (Bearish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus).
🛡 Exit Strategy
Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop.
Exit Long: When Supertrend turns Red.
Exit Short: When Supertrend turns Green.
Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio.
📊 Included Features
Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position.
Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization).
Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status.
⚠️ Risk Warning & Best Practices
Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs.
Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise.
News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Liquidity Trap Detector Pro [PyraTime]The Problem: Why You Get Stopped Out
90% of retail traders place their stop-losses at obvious swing highs and lows. Institutional algorithms ("Smart Money") are programmed to push price through these levels to trigger liquidity, fill their heavy orders, and then immediately reverse the market.
If you have ever had your stop hit right before the market moves exactly where you predicted—you were the victim of a Liquidity Trap.
The Solution: Visualizing the "Stop Hunt"
Liquidity Trap Detector Pro is not just a support/resistance indicator. It is a comprehensive Reversal Scoring Engine.
Unlike standard indicators that spam signals on every wick, this tool uses a proprietary 5-Star Scoring System to analyze the quality of the trap. It validates every signal using Wick Symmetry, RSI Divergence, and Volume Analysis to separate a true reversal from a trend continuation.
Key Features (USP)
- 5-Star Scoring Engine: Every signal is rated from 1 to 5 stars. Stop guessing if a signal is valid; let the algorithm check the confluence for you.
- Glassmorphism Visuals: Gone are the messy lines. We use modern, semi-transparent "Liquidity Zones" that keep your chart clean and professional.
- Smart Terminology: Automatically identifies Bull Traps (Buyers trapped at highs) and Bear Traps (Sellers trapped at lows).
- Heads-Up Display (HUD): A professional dashboard monitors the market state, active filters, and recent trap statistics in real-time.
- Strict Non-Repainting: (Technical Note) This script uses strict non-repainting logic. All Higher Timeframe (HTF) data is confirmed and closed before a signal is generated, ensuring historical accuracy.
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Tutorial: How to Trade This Indicator
1. Understanding the Signals
We use correct institutional terminology to describe the market mechanics:
GREEN Signal (BEAR TRAP):
- What happened: Price swept a Swing Low, enticing sellers (Bears) to enter. The candle then reversed and closed back inside the range, trapping those sellers.
- The Trade: This is a Bullish Reversal setup (Long).
RED Signal (BULL TRAP):
- What happened: Price swept a Swing High, enticing buyers (Bulls) to breakout. The candle reversed and closed lower, trapping the buyers.
- The Trade: This is a Bearish Reversal setup (Short).
2. The 5-Star Scoring System
Not all traps are created equal. The stars tell you how much "Confluence" exists:
- 1 Star: A basic structure sweep. Risky.
- 3 Stars: A solid setup backed by either Volume or Divergence.
- 5 Stars: The "Perfect" Trap. Structure Sweep + RSI Divergence + Volume Spike + Wick Symmetry. High Probability.
3. The Strategy
- Wait for the Zone: Watch price approach a coloured Liquidity Zone.
- Observe the Reaction: Do not trade blindly. Wait for the candle to close.
- Check the Stars: Look for at least 3 Stars before considering an entry.
- Confirm with HUD: Glance at the Dashboard to ensure the "RSI Filter" and "Vol Filter" agree with your analysis.
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Settings Guide
Structure Settings:
- Pivot Lookback: Adjusts how sensitive the zones are (Default: 10/5).
- HTF Confirmation: Optional filter to only show traps that align with Higher Timeframe structure (e.g., 1H or 4H).
Quality Filters:
- RSI Divergence: Requires momentum to disagree with price (classic reversal sign).
- Volume Spike: Requires volume to be higher than average (Smart Money footprint).
Visuals:
- Clean Mode: A presenter-favorite feature. Hides all historical zones and leaves only the active setup—perfect for taking screenshots or sharing analysis.
Disclaimer
This tool is designed to assist with technical analysis and identifying potential areas of interest. It does not guarantee profits. Trading involves significant risk; always use proper risk management.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]Entry Points: 🔥 signals occur when buying and selling pressure is 1.5 times stronger than normal and breaks through a key resistance level.
Dynamic S/R Box: This box displays the price at the right edge and will "disappear immediately" if the closing price breaks through the zone, showing only the active support and resistance levels.
TP/SL Targets: Lines are drawn to the right to indicate clear entry and exit points.
Large Marks: When the price hits the target, the system will display large text 🎯 TP SUCCESS or ❌ SL HIT to summarize the trade result.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]How to Use the SMC Pro Indicator: ALL-IN & Dynamic S/R is designed to help you trade following the "Smart Money" quickly and accurately. The usage steps are as follows:
1. Reading Entry Signals
🔥 ALL-IN BUY/SELL: This is the most accurate signal, generated by a breakout of a key support level (Pivot) combined with unusually high trading volume (1.5 times higher) and confirmation from the EMA trend.
Fast Buy/Sell (Small Triangle): This is a supplementary signal when the EMA Fast line crosses the EMA Slow line. It's suitable for finding opportunities to "Follow the Trend" or add to positions when the trend strengthens.
2. Managing Targets (TP/SL/Entry)
When the ALL-IN signal appears, the system will immediately draw three lines to the right of the graph:
Gray line (ENTRY): The price point where you should open an order.
Blue line (TP): Profit target. Calculated using a Risk:Reward Ratio of 2.0 (adjustable).
Red line (SL): Stop-loss point calculated from the ATR value for safety.
3. Using Support and Resistance Boxes (Dynamic Zones)
Green box (Support): Zone with strong buying pressure. If the price tests this level and doesn't break below, there's a high chance of a rebound.
Red box (Resistance): Zone with accumulated selling pressure. If the price tests this level and fails to break through, there's a chance of a pullback.
Disappearance of boxes: When the price "breaks through" the bar, these boxes automatically disappear to indicate that the zone has been broken, and the system will immediately start looking for a new, stronger zone.
4. Auto-Reset System (Completion of Trade)
When the price hits the TP or SL line, the system will mark an "X" on the screen.
The old target line will be immediately deleted to clear the position, making the chart look clean and ready for a new ALL-IN signal.
💡 Additional Tip:
Candlestick color: Trade Buy when the candlestick is green, and trade Sell when the candlestick is red.
If the candlestick is orange, it means the market is sideways. It is recommended to wait for a clear ALL-IN signal before entering a trade.
วิธีใช้งานอินดิเคเตอร์ SMC Pro: ALL-IN & Dynamic S/R นี้ออกแบบมาเพื่อให้คุณเทรดตามรอย "เจ้ามือ" (Smart Money) ได้อย่างรวดเร็วและแม่นยำที่สุด โดยมีขั้นตอนการใช้งานดังนี้ครับ:
1. การอ่านสัญญาณจุดเข้า (Entry Signals)
🔥 ALL-IN BUY/SELL: เป็นสัญญาณที่มีความแม่นยำสูงสุด เกิดจากการเบรคเอาท์แนวสำคัญ (Pivot) ร่วมกับมีแรงซื้อขาย (Volume) สูงกว่าปกติ 1.5 เท่า และเทรนด์ของ EMA ยืนยัน
Fast Buy/Sell (สามเหลี่ยมเล็ก): เป็นสัญญาณเสริมเมื่อเส้น EMA Fast ตัดกับ EMA Slow เหมาะสำหรับใช้หาจังหวะ "Follow Trend" หรือเข้าเพิ่มไม้เมื่อเทรนด์เริ่มแข็งแกร่ง
2. การจัดการเป้าหมาย (TP/SL/Entry)
เมื่อสัญญาณ ALL-IN ปรากฏ ระบบจะวาดเส้น 3 เส้นไปทางด้านขวาของกราฟทันที:
เส้นสีเทา (ENTRY): จุดราคาที่คุณควรเปิดออเดอร์
เส้นสีน้ำเงิน (TP): เป้าหมายทำกำไร ซึ่งคำนวณจากค่า Risk:Reward Ratio ที่ 2.0 เท่า (ตั้งค่าได้)
เส้นสีแดง (SL): จุดตัดขาดทุนที่คำนวณจากค่า ATR เพื่อความปลอดภัย
3. การใช้งานกล่องแนวรับ-แนวต้าน (Dynamic Zones)
กล่องสีเขียว (Support): โซนที่มีแรงซื้อหนาแน่น หากราคาลงมาทดสอบแล้วไม่หลุด มีโอกาสเด้งกลับสูง
กล่องสีแดง (Resistance): โซนที่มีแรงขายสะสม หากราคาวิ่งขึ้นไปทดสอบแล้วไม่ผ่าน มีโอกาสย่อตัวลง
การหายไปของกล่อง: เมื่อราคา "ปิดแท่งทะลุ" กล่องเหล่านี้จะหายไปโดยอัตโนมัติ เพื่อบอกว่าโซนนั้นถูกทำลายแล้ว และระบบจะเริ่มหาโซนใหม่ที่แข็งแกร่งกว่าให้ทันที
4. ระบบ Auto-Reset (จบงาน)
เมื่อราคาเคลื่อนที่ไปชนเส้น TP หรือ SL ระบบจะทำเครื่องหมาย "X" บนหน้าจอ
เส้นเป้าหมายเก่าจะถูกลบออกทันที เพื่อล้างสถานะให้กราฟดูสะอาดและพร้อมสำหรับสัญญาณ ALL-IN รอบใหม่ครับ
💡 เคล็ดลับเพิ่มเติม:
สีแท่งเทียน: เทรดหน้า Buy เมื่อแท่งเทียนสีเขียว และเทรดหน้า Sell เมื่อแท่งเทียนสีแดง
หากแท่งเทียนเป็น สีส้ม หมายถึงตลาดกำลังเลือกทาง (Sideway) แนะนำให้รอสัญญาณ ALL-IN ที่ชัดเจนก่อนเข้าเทรดครับ
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]Designed to help traders who know absolutely nothing about the market.
And for those whose signals don't disappear, once it goes up, it stays up. 90 percent chance of beating the market.
Hero Zero+ Gamma (False Breakout Filter)Hero Zero – EMA + VWAP + Gamma (Strong Candle)
Purpose:
This script is designed to capture high-momentum intraday moves (Gamma Blasts / Hero Zero trades) by combining:
Trend strength (EMA stack)
Institutional reference (VWAP)
Momentum candle quality (Full Body / Marubozu)
Participation confirmation (Volume burst – OI proxy)
It avoids weak breakouts and focuses only on decisive price expansion candles.
1️⃣ EMA STRUCTURE – TREND FILTER
emaFast = ta.ema(close, 9)
emaMid = ta.ema(close, 20)
emaSlow = ta.ema(close, 50)
📈 Why EMAs?
EMAs react faster to price → ideal for intraday momentum
The script uses EMA stacking, not just crossovers
Bullish EMA Stack
emaFast > emaMid > emaSlow
✔ Indicates strong uptrend
✔ Buyers are in control across short, medium & intraday timeframes
Bearish EMA Stack
emaFast < emaMid < emaSlow
✔ Indicates strong downtrend
✔ Sellers dominate
🔒 No EMA stack = no trade
This removes sideways and choppy markets.
2️⃣ VWAP – INSTITUTIONAL BIAS
vwapVal = ta.vwap(hlc3)
Why VWAP?
Used by institutions, algos, prop desks
Acts as a fair value line
Conditions
Bullish trade: close > VWAP
Bearish trade: close < VWAP
📌 This ensures:
You trade with smart money
You avoid mean-reversion traps
3️⃣ VOLUME BURST – GAMMA / OI PROXY
avgVol = ta.sma(volume, 20)
volBurst = volume > avgVol * 1.5
What this represents
Sudden increase in participation
Acts as a proxy for OI build-up / Gamma activity
✔ No volume = no follow-through
✔ Volume burst confirms real interest, not fake moves
4️⃣ STRONG CANDLE LOGIC – CORE EDGE 🔥
Candle Anatomy
bodySize = abs(close - open)
upperWick = high - max(close, open)
lowerWick = min(close, open) - low
A) FULL BODY CANDLE
Meaning:
Price moves strongly in one direction with minimal rejection.
Bullish Full Body
bodySize > upperWick
✔ Buyers pushed price up and held it
Bearish Full Body
bodySize > lowerWick
✔ Sellers dominated without pullback
B) MARUBOZU CANDLE (Institutional Candle)
upperWick <= mintick*2
lowerWick <= mintick*2
✔ Almost no wicks
✔ Pure aggression
✔ Typically seen during:
Option Gamma expansion
Index hero moves
Breakout candles
C) STRONG CANDLE (Final Filter)
Strong Candle = Full Body OR Marubozu
📌 This is powerful because:
Full Body → strong but normal momentum
Marubozu → explosive institutional move
Weak candles are fully filtered out.
5️⃣ HERO ZERO (GAMMA BLAST) CONDITIONS
Bullish Gamma Blast
EMA Stack + Price above VWAP +
Strong Bull Candle + Volume Burst
Bearish Gamma Blast
EMA Stack + Price below VWAP +
Strong Bear Candle + Volume Burst
💥 When all align → probability spike
💥 Designed for fast 1–3 candle expansion
6️⃣ SIGNAL VISUALS
Green “GAMMA BUY” → below candle
Red “GAMMA SELL” → above candle
EMAs + VWAP plotted for context
Signals are rare but high-quality.
7️⃣ ALERT SYSTEM
alertcondition(bullGamma)
alertcondition(bearGamma)
✔ Use for:
Bank Nifty / Nifty
Option buying
Scalping during power hours
8️⃣ BEST USAGE (IMPORTANT)
✅ Recommended Timeframes
3-min → Best balance
5-min → Safer
1-min → Aggressive scalping only
✅ Best Time Window (IST)
9:20 – 11:00 AM
2:30 – 3:15 PM (Hero Zero zone)
9️⃣ WHAT THIS SCRIPT AVOIDS ❌
Sideways chop
Low volume traps
Wicky fake breakouts
EMA crossover noise
🧠 TRADER MINDSET
This is not a signal-spamming indicator.
It is a confirmation engine for:
Index options
Momentum scalps
Gamma expansion trades
Auto Liquidity Sweep Trendlines with automation feature by V JhaThis is not an ordinary trendline, in fact high impact ones, passing through liquidity points of huge significance.
In setting of indicator you can choose to have multiple consecutive buys or sells for delayed entry. For automation you can deselect this option so that you get single buy or sell.
What is more, for Green and Red lines you can choose different bars. For instance if htf trend is bearish choose 14 bars for red, so you need to sell on rise therefore make 1 bar for green. Similar for opposite.
You will have an awe feeling for sure. Enjoy Trading.
Liquidity Sweep Trendlines customise htf, bars and switchesThis is not an ordinary trendline, in fact high impact ones, passing through liquidity points of huge significance.
In setting of indicator you can choose to have multiple consecutive buys or sells for delayed entry. For automation you can deselect this option so that you get single buy or sell.
What is more, for Green and Red lines you can choose different bars. For instance if htf trend is bearish choose 14 bars for red, so you need to sell on rise therefore make 1 bar for green. Similar for opposite.
You can separately choose htf on current chart. For instance if on your htf is 5 min and trend is bearish on 5 min, on current chart 1 min(say) you can choose htf 5min for red and to short on every rise choose 1 bar for green and keep its htf of chart.
I think need for all other indicator should be over, You will have an awe feeling for sure. Enjoy
Turki alghamdiThis indicator is an advanced Pivot-based SuperTrend designed to provide maximum clarity for traders. It visually displays: - Exact entry candle - Dynamic stop loss - Up to 3 R-based profit targets - Clear trend direction
ICT 1m FVG - Universal ToggleThis indicator is designed for ICT (Inner Circle Trader) style traders who prioritise displacement and Fair Value Gaps (FVG) on the 1-minute timeframe but execute or analyse on higher timeframes like the 15-minute. FVGs are create after a swing point is created on the 15m time frame.
i am struggling to get the FVGs to remain visible on the higher time frames
Liquidity Retest Strategy (Apicode) - TP/SL Lines FixedTechnical Documentation:
1. Purpose and underlying concept
This strategy targets a common behavior in liquid markets: liquidity sweeps around meaningful support/resistance levels, followed by a retest and rejection (reversal) with confirmation.
The core thesis is that many initial “breaks” are not continuation moves, but rather stop-runs and order harvesting. After the sweep, price reclaims the level and closes back on the opposite side, offering a structured entry with defined risk.
The strategy includes:
Support/Resistance detection via pivots
Dynamic selection of the “working” level using an ATR-based proximity window
Rejection validation via candle structure (wick + close)
Optional filters: volume, VWAP-like bias, and EMA trend
Risk management with static TP/SL (ATR-based or %), plus trailing stop (ATR-based or %), with per-trade lines plotted
2. Main components
2.1. Volatility metric: ATR
atr = ta.atr(atrLength) is used in two essential places:
Level selection (proximity to S/R): prevents trading levels that are too far from current price.
Sweep validation (minimum wick size): requires the wick to extend beyond the level by a volatility-relative amount.
Optionally, ATR can also be used for:
Static TP/SL (when usePercent = false)
Trailing stop (when useTrailPercent = false)
2.2. Building S/R levels with pivots
Pivots are detected using:
pivotHigh = ta.pivothigh(pivotLookback, rightBars)
pivotLow = ta.pivotlow(pivotLookback, rightBars)
Each confirmed pivot is stored in arrays:
resistanceLevels for resistance
supportLevels for support
The array size is capped by maxLevels, which reduces noise and manages chart resource usage (lines).
2.3. Selecting the “best” level each bar
On each bar, a single support S and/or resistance R candidate is chosen:
Support: nearest level below price (L < price)
Resistance: nearest level above price (L > price)
Only levels within atr * maxDistATR are considered
This produces dynamic “working levels” that adapt to price location and volatility.
2.4. Rejection pattern (retest + sweep)
After selecting the working level:
Support rejection (long setup)
Conditions:
Low touches/crosses support: low <= S
Close reclaims above: close > S
Bullish candle: close > open
Sufficient wick below the level (liquidity sweep): (S - low) >= atr * minWickATR
This aims to capture a stop sweep below support followed by immediate recovery.
Resistance rejection (short setup)
Symmetric conditions:
High touches/crosses resistance: high >= R
Close rejects back below: close < R
Bearish candle: close < open
Sufficient wick above the level: (high - R) >= atr * minWickATR
2.5. Optional filters
Final signals are the rejection pattern AND enabled filters:
1.- Volume filter
High volume is defined as: volume > SMA(volume, 20) * volMult
When useVolFilter = true, setups require relatively elevated participation
2.- VWAP-like bias filter
A VWAP-like series is computed over vwapLength (typical price weighted by volume)
When useVWAPFilter = true:
- Longs only if close > vwap
- Shorts only if close < vwap
3.- EMA trend filter
Uptrend if EMA(fast) > EMA(slow)
When useTrendFilter = true:
- Longs only in uptrend
- Shorts only in downtrend
2.6. Backtest time window (time filter)
To keep testing focused and reduce long-history noise:
useMaxLookbackDays enables the filter
maxLookbackDays defines how many days back from timenow entries are allowed
Entries are permitted only when time >= startTime.
3. Entry rules and position control
3.1. Entries
strategy.entry('Long', strategy.long) when longSetup and no long position is open
strategy.entry('Short', strategy.short) when shortSetup and no short position is open
No pyramiding is allowed (pyramiding = 0). Position gating is handled by:
Long allowed if strategy.position_size <= 0
Short allowed if strategy.position_size >= 0
4. Risk management: TP/SL and trailing (with plotted lines)
4.1. Detecting entry/exit events
Events are identified via changes in strategy.position_size:
LongEntry: transition into a long
shortEntry: transition into a short
flatExit: transition back to flat
This drives per-trade line creation, updates, and cleanup of state variables.
4.2. Static TP/SL
On entry, entryPrice := strategy.position_avg_price is stored.
Percent mode (usePercent = true)
Long:
staticSL = entryPrice*(1 - slPerc/100)
staticTP = entryPrice*(1 + tpPerc/100)
Short:
staticSL = entryPrice*(1 + slPerc/100)
staticTP = entryPrice*(1 - tpPerc/100)
ATR mode (usePercent = false)
Long:
staticSL = entryPrice - atrAtEntry*slATR
staticTP = entryPrice + atrAtEntry*tpATR
Short:
staticSL = entryPrice + atrAtEntry*slATR
staticTP = entryPrice - atrAtEntry*tpATR
4.3. Trailing stop (custom)
While a position is open, the script tracks the most favorable excursion:
Long: hhSinceEntry = highest high since entry
Short: llSinceEntry = lowest low since entry
A trailing candidate is computed:
Percent trailing (useTrailPercent = true)
Long: trailCandidate = hhSinceEntry*(1 - trailPerc/100)
Short: trailCandidate = llSinceEntry*(1 + trailPerc/100)
ATR trailing (useTrailPercent = false)
Long: trailCandidate = hhSinceEntry - atr*trailATR
Short: trailCandidate = llSinceEntry + atr*trailATR
Then the effective stop is selected:
Long: slUsed = max(staticSL, trailCandidate) when useTrail is enabled
Short: slUsed = min(staticSL, trailCandidate) when useTrail is enabled
If useTrail is disabled, slUsed remains the static stop.
Take profit remains static:
tpUsed = staticTP
Exit orders are issued via:
strategy.exit(..., stop=slUsed, limit=tpUsed)
4.4. Per-trade TP/SL lines
On each entry, two lines are created (SL and TP) via f_createLines().
During the trade, the SL line updates when trailing moves the stop; TP remains fixed.
On exit (flatExit), both lines are finalized on the exit bar and left on the chart as historical references.
This makes it straightforward to visually audit each trade: entry context, intended TP, and trailing evolution until exit.
5. Visualization and debugging
BUY/SELL labels with configurable size (xsize)
Debug mode (showDebug) plots the chosen working support/resistance level each bar
Stored pivot levels are drawn using reusable line slots, projected a fixed 20 bars to the right to keep the chart readable and efficient
6. Parameter guidance and practical notes
pivotLookback / rightBars: controls pivot significance vs responsiveness. Lower rightBars confirms pivots earlier but can increase noise.
maxDistATR: too low may reject valid levels; too high may select distant, less relevant levels.
minWickATR: key quality gate for “real” sweeps. Higher values reduce frequency but often improve signal quality.
Filters:
Volume filter tends to help in ranges and active sessions.
VWAP bias is useful intraday to align trades with session positioning.
EMA trend filter is helpful in directional markets but may remove good mean-reversion setups.
Percent TP/SL: provides consistent behavior across assets with variable volatility, but is less adaptive to sudden regime shifts.
Percent trailing: can capture extensions well; calibrate trailPerc per asset/timeframe (too tight = premature exits).
7. Known limitations
Pivot-derived levels are a heuristic; in strong trends, valid retests may be limited.
The time filter uses timenow; behavior may vary depending on historical context and how the platform evaluates “current time.”
TP/SL and trailing are computed from bar OHLC; in live trading, intrabar sequencing and fills may differ from bar-close simulation.
ADX + DI **ADX + DI (Final)** is a clean trend-strength and direction tool built on the classic Wilder **Average Directional Index (ADX)** with optional **+DI / -DI** lines.
* Plots **ADX (red)** to show *trend strength* (not direction).
* Optionally plots **+DI (green)** and **-DI (blue)** to show *directional bias* (bullish when +DI > -DI, bearish when -DI > +DI).
* Includes toggleable horizontal reference levels at **20** and **25** to quickly spot range vs trend regimes.
* Optional background highlighting when **ADX exceeds a user-defined threshold** (default 25) to visually mark “strong trend” conditions.
* Includes alert conditions for:
* **+DI crossing above -DI** (bullish directional shift)
* **-DI crossing above +DI** (bearish directional shift)
* Both crosses **with ADX above the trend threshold** (higher-confidence signals)
**Best use:** filter trades by regime—avoid trend strategies when ADX is low (chop), and focus on pullbacks/breakouts when ADX is rising and above your threshold.
SCOTTGO - Liquidity Zones (Sweeps + Tethers)
SCOTTGO - Liquidity Zones is a high-performance technical analysis tool designed to identify and track Institutional Liquidity Zones, Price Sweeps, and Pivot Levels with a clean, professional-grade interface.
Key Features
Dynamic Liquidity Zones: Automatically identifies Bullish and Bearish zones based on customizable pivot lookbacks.
Identify Liquidity Sweeps: Detects when price "pokes" through a zone but fails to close beyond it, marking the event with a distinct label and a visual tether line.
Active Tracking: Zones and LIQ lines track price in real-time until they are mitigated (broken by a candle close), at which point they visually "deactivate" to reduce clutter.
Professional UI: Features a compact, single-row styling menu (Color, Thickness, and Line Style) that mirrors TradingView’s native design.
Visual Elements
LIQ Lines: Solid or dashed lines tracking the exact pivot price within active zones.
Sweep Tethers: Vertical lines connecting the candle extreme to the "SWEEP" label for precise visual confirmation.
Detailed Tooltips: Hover over LIQ labels or Sweep tags to view specific price data and zone context.
Zone Titles: Clearly labeled "BULL ZONE" and "BEAR ZONE" tags with independent font size controls.
How to Use
Core Logic: Adjust the Pivot Lookback to define the strength of the levels you want to track.
Styling: Use the Inputs Tab for compact, specialized styling of Lines, Borders, and Sweeps.
Analysis: Look for "Sweeps" at zone boundaries as potential signs of reversal or stop-running.
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price.
The script works the following way:
Aligns past years to today’s calendar date
Normalizes all paths to the last close at the start
Projects historical performance X bars forward
Displays each year as a separate performance path
Calculates and plots the mean (average) projection for quick reference
🔧 How It Works
Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years)
Projection Length: choose how many bars (days) ahead to project
Each line shows how the market moved during the same period in a specific year
Labels show the year and total return at the projection end
The mean line highlights the average historical outcome
🧠 Why This Is Useful
Identify seasonal tendencies
Compare current price action to historical analogs
Visualize best / worst historical outcomes
Set realistic expectations for short-term moves
Add context to discretionary or systematic decisions
This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window.
⚠️ Notes
Script works on timenow variable for now, and you might see unexpected periods if today is a day off.
Results depend on the selected timeframe and instrument
Past performance is not a guarantee of future results
Designed for analysis and context, not standalone signals
4H Previous Candle + FibonacciIndicator Description: 4H Previous Candle + Fibonacci
This Pine Script (v5) indicator is a technical analysis tool designed for traders using the
TradingView platform. It allows for the visualization of key levels from the previous 4-
hour candle directly on any lower time frame.
1. Primary Objective
The indicator aims to provide a Higher Time Frame (HTF) perspective automatically.
By plotting the high, low, and Fibonacci retracement levels of the last closed 4H
candle, it helps identify institutional support and resistance zones without the need to
constantly switch time frames.
2. Key Features
Feature Description
Automatic 4H Levels
Automatically plots horizontal lines for the High and Low of the
previous 4H candle.
Dynamic Adaptation
Line colors and styles adapt based on whether the candle was
bullish (green) or bearish (red).
Fibonacci
Retracements
Calculates and displays customizable Fibonacci levels (e.g., 23.6%,
38.2%, 50%, 61.8%, 78.6%).
Dashboard (HUD)
A summary table in the top-right corner displays exact values and
the candle type.
3. Technical Functionality
Data Retrieval (Multi-Timeframe)
The script uses the request.security function to extract data from the 4-hour time
frame (“240”). Using the index ensures the indicator is based on a closed candle,
eliminating any risk of “repainting” (levels changing during formation).
Fibonacci Calculation Logic
The calculation of Fibonacci levels is intelligent and directional:
Bullish Candle: The retracement is calculated from bottom to top (0% is at the
bottom).
Bearish Candle: The retracement is calculated from top to bottom (0% is at the
top).
4. Configuration Parameters
Users can customize the indicator via the settings menu:
Visual Settings: Toggle lines, adjust thickness, price labels, and decimal
precision.
Fibonacci Settings: Enable levels, choose colors, line thickness, and enter
custom retracement percentages.
5. Trading Use Cases
Bounce Zones: The 50% and 61.8% levels of the previous 4H candle are often
considered “Premium” or “Discount” zones where price tends to react.
Confluence: Use these levels alongside other indicators (RSI, moving averages)
to confirm entry points.
Risk Management: Place Stop Losses just beyond the previous 4H High or Low.
Document generated for the analysis of the “4H Previous Candle + Fibonacci” Pine
Script.
CUSUM Volatility BreakoutCUSUM Volatility Breakout A statistical trend-detection and volatility-breakout indicator that identifies subtle momentum shifts earlier than traditional tools.
OVERVIEW
The CUSUM control chart is a statistical tool designed to detect small, gradual shifts from a target value. In trading, it helps identify the early stages of a trend, giving traders a heads-up before momentum becomes obvious on standard price charts. By spotting these subtle movements, the CUSUM Volatility Breakout indicator (CUSUM VB) can highlight potential breakout opportunities earlier than traditional indicators. In other words, a statistical trend detection & breakout indicator.
Copyright © 2025 CoinOperator
HOW IT WORKS
CUSUM VB uses a combination of differenced price series, volume normalization, and dynamic control limits:
CUSUM Principle: Tracks cumulative deviations of price from a zero reference. Signals occur when cumulative deviations exceed a control limit shown on the chart and clears any enabled filters.
Adaptive Volatility: H adjusts automatically based on short- vs long-term ATR ratios, allowing faster detection during volatile periods and reduced false signals in calm markets.
Volume Weighting (optional): Amplifies price CUSUM values during high-volume bars to prioritize market participation strength.
ATR Confirmation (optional): Ensures breakouts are accompanied by expanded volatility.
Bollinger Band Squeeze Integration (optional): Confirms trend breakouts by detecting volatility contraction and release shown on the chart as triangles.
Signals:
Arrows on the price chart mark the bars where trades are actually filled, based on conditions detected on the prior signal bar.
Long Entry: Confirmed positive CUSUM breach (price & volume) with BB breakout (signal bar).
Short Entry: Confirmed negative CUSUM breach (price & volume) with BB breakout (signal bar).
Exit Signals: Triggered automatically by opposite-side signals.
Alerts, when created, fire on the bars where fills occur.
CHART COMPONENTS
CUSUM Upper Price (CU Price) and CUSUM Lower Price (CL Price) are green/red circles for confirmed signals.
● Rapid upward accumulation of CU Price indicates a developing bullish trend.
● Rapid downward accumulation of CL Price indicates a developing bearish trend.
Decision/Control limits (UCL/LCL, red)
Zero line (reference for the differenced price series baseline)
Optional BB triangles and volume CUSUM
SETUP AND CONFIGURATION
Differenced Price Series
Differenced Price Length and Lag
Increase differencing lag or window length → Increases variance of residuals → Wider control limits (UCL/LCL) → Slower to trigger.
Decrease lag or window → Tighter limits, more responsive to short-term regime shifts.
CUSUM Parameters
Volume-Weighted CUSUM
NOTE : Uses price length if 'Confirm Price with Volume' is disabled, otherwise will use volume length.
Amplifies CUSUM price responses during high-volume bars and reduces them during low-volume bars. This links trend detection to market participation strength.
Volume-Weighted CUSUM doesn’t replace price confirmation with volume; it modulates it by volume intensity, amplifying price signals when participation is strong and suppressing them when weak.
Recommended when analyzing assets with consistent volume patterns (e.g., stocks, major futures).
Disable for low-liquidity or irregular-volume instruments (e.g., crypto pairs, small-cap stocks).
ATR Confirmation
Enable this feature to confirm CUSUM signals only when price deviations are accompanied by higher-than-normal volatility. The indicator compares current ATR to a smoothed ATR to detect volatility expansion. This helps distinguish true breakouts from low-volatility noise and reduces false signals during quiet periods.
Adjust the ATR lookback length, smoothing length, and expansion factor to control sensitivity. Rule of thumb:
ATR Length ≈ 0.5 × differenced price length to 1.5 × differenced price length gives balanced sensitivity.
ATR Smoothing 5–10 bars.
ATR Expansion 5% to 50%.
CUSUM Input Mode
Select how CUSUM processes differenced price and log-normalized volume — either directly (Txfrm Data) or as deviations from a short-term EMA baseline (Residuals):
Txfrm Data = transformed input: differenced price & log-normalized volume as input for CUSUM (larger swings, more frequent control limit breaches)
Residuals = deviation from short-term EMA baseline (smaller swings, fewer control limit breaches, but higher signal quality).
Residual EMA Length: Defines how quickly the residual baseline adapts to recent differenced price moves. Shorter = more reactive; longer = smoother baseline. Keep EMA length moderate; over-smoothing can distort timing.
Control Sensitivity (K)
Increase K → Less sensitive → CUSUM accumulates slower → Fewer signals, captures only major trends.
Decrease K → More sensitive → CUSUM accumulates faster → More signals, captures minor swings too.
Reset Mode : Method of resetting CUSUM values.
Immediate Reset: Reset both immediately after any signal breach. Traditional SPC.
Opposite-Side Reset: Reset only the opposite side when a valid signal fires. Best for ongoing trend tracking.
Decay Reset: Gradually reduce CUSUM values toward zero with a decay factor each bar. Maintains trend memory but allows slow “forgetting.”
Threshold Reset: Reset only if CUSUM returns below a small threshold (10 % of H). Filters noise without full wipe.
No Reset / Continuous: Never reset; instead track running totals. Long-term cumulative bias measurement.
Conflict Handling : Method of handling conflicting signals.
Ignore Both: Discards both when overlap occurs.
Prioritize Latest: Chooses the direction implied by the most recent close.
Prioritize Stronger: Compares absolute magnitudes of CU Price vs CL Price.
Average Resolve: Looks at the difference; small overlap → ignore, otherwise pick direction by sign.
Sequential Confirm: Requires N consecutive same-direction signals before confirmation.
Volume Parameters (Optional)
Amplification Factor
Adjusts volume sensitivity and effectively rescales the log series of volume to a comparable magnitude with price changes.
Since price and volume are normalized in a compatible way, the amplification factor is used instead of independent K and H values for volume.
Bollinger Bands (Optional)
Lookback Synchronization
BB Lookback (for CUSUM): Number of bars that define a window for the BB signal to look back for the CUSUM signal.
CUSUM Lookback (for BB): Number of bars that define a window for the CUSUM signal to look back for the BB signal.
Both can be enabled for stricter alignment.
Relationship Between K, H, ARL₀ and ARL₁
H (max) is usually the only H you need to adjust. With everything else being constant, increasing either K or H (max) generally increases both ARL₀ and ARL₁ : higher thresholds reduce false alarms but slow detection, and lower thresholds do the opposite.
Increase Min Target ARL ratio →
ARL₀ increases (safer, fewer false alarms)
ARL₁ decreases or stays small (faster detection)
Control limits slightly expand to achieve separation
Strategy becomes more selective and stable
Decrease Min Target ARL ratio →
ARL₀ decreases (more false alarms tolerated)
ARL₁ increases (slower detection tolerated)
Control limits tighten
Strategy becomes more sensitive but lower quality
The ARL Ratio of ARL₀ / ARL₁ is typically between 3 and 8. This implies you want your ARL₀ (false-alarm interval) ≈ 'Min Target ARL ratio' × differenced price length window.
Example:
"Min Target ARL ratio = 4.0"
⇒ implies you want your ARL₀ (false-alarm interval) ≈ 4 × differenced price length.
Assume price length = 50 (typical differencing window).
ARL ratio = 4.0 → target ARL = 4 × 50 = 200 bars.
● On a 6-hour chart (≈4 bars/day) → ~50 days between expected false alarms (on average).
● On a daily chart → ~200 trading days between false alarms (very conservative).
ARL ratio = 8.0 → target ARL = 400 bars → twice as infrequent signals vs ratio=4.
ARL ratio = 2.0 → target ARL = 100 bars → about half the inter-signal interval.
Another way to think about it: probability of a false alarm on any bar ≈ 1 / target ARL. If you want ~1% of bars producing alarms, target ARL ≈ 100.
QUICK START
Start with the defaults.
Set price series → length/order/lag
Configure CUSUM thresholds → K, H min/max
1. Adjust the price differencing lag/window.
2. Verify that it captures real price inflection points without overreacting to bar noise.
Enable optional filters → Volume, ATR, BB
The optional Bollinger Bands squeeze usually works best if used with CUSUM Input Mode = Txfrm Data.
Monitor CUSUM chart → CU Price, CL Price, thresholds, zero line
Act on signals → data window / chart triangles
Adjust sensitivity → H (max), K, lengths
Monitor ARL ratio and CUSUM behavior for fine-tuning
Note : When you’ve finalized the length, lag, and order of the Price Difference, as well as the Ln(Vol) Series of “Confirm Price with Volume” if enabled, then pass both through the Augmented Dickey–Fuller (ADF) mean reversion test to ensure they are stationary, i.e., mean reverting. You can find a ready-made indicator for such use at . Many thanks to tbtkg for this indicator.
SUMMARY
CUSUM VB combines CUSUM statistical control, volatility-adaptive thresholds, volume weighting, and optional BB breakout confirmation to provide robust, actionable signals across a wide variety of trading instruments.
Why traders use it : Fast detection of shifts, reduced false alarms, versatile across markets.
Ideal for : Futures (continuous contracts), forex, crypto, stocks, ETFs, and commodity/index CFDs, especially where:
● Price and volume data exist
● Breakouts and volatility shifts are tradable
● There’s enough liquidity for meaningful signals
Visualization : Upper/lower CUSUM circles, UCL/LCL thresholds, optional highlight traded background, optional volume and BB overlays on the chart, optional entry/exit labels on the price chart, as well as entry/exit signals in the data window.
Alerts : For entry/exit labels when trades are actually filled.
CUSUM VB is designed for traders who want statistically grounded trend detection with configurable sensitivity, visual clarity, and multi-market versatility.
DISCLAIMER
This software and documentation are provided “as is” without any warranties of any kind, express or implied. CoinOperator assumes no responsibility or liability for any errors, omissions, or losses arising from the use or interpretation of this software or its outputs. Trading and investing carry inherent risks, and users are solely responsible for their own decisions and results.






















