Auto Liquidity Sweep Trendlines With BuySell alerts By V JhaThis automatic trendline system gives buy and sell alerts as well. But you must choose to buy at bottom and sell at top, or in tune with high time frame. This works perfect when used in alignment with HTF.
Points used to draw these trendlines are not ordinary wicks, rather they are liquidity points of huge importance. This trendline system removes any need for mannual tredline drawing.
指標和策略
HMA 9/50 Crossover + RSI 50 Filter1. The Core Indicators
HMA 9 (Fast): Acts as the primary trigger line. Its unique calculation minimizes lag compared to standard moving averages, allowing for faster entries.
HMA 50 (Slow): Defines the medium-term trend direction and acts as the "anchor" for crossover signals.
RSI 14: Serves as a "momentum gate." Instead of traditional overbought/oversold levels, we use the 50 midline to confirm that the directional strength supports the crossover.
2. Entry Conditions
Long Entry: Triggered when the HMA 9 crosses above the HMA 50 AND the RSI is greater than 50.
Short Entry: Triggered when the HMA 9 crosses below the HMA 50 AND the RSI is less than 50.
3. Execution & Reversal
This strategy is currently configured as an Always-in-the-Market system.
A "Long" position is automatically closed when a "Short" signal is triggered.
To prevent "pyramiding" (buying multiple positions in one direction), the script checks the current position_size before opening new entries.
How to Use
Timeframe: Optimized for 3-minute (3m) candles but can be tuned for 1m to 15m scalping.
Settings: Use the Inputs panel to adjust HMA lengths based on the volatility of your specific asset (e.g., shorter for stable stocks, longer for volatile crypto).
Visuals:
Aqua Line: HMA 9
Orange Line: HMA 50
Green Background: Bullish RSI Momentum (> 50)
Red Background: Bearish RSI Momentum (< 50)
Risk Disclosure
Whipsaws: This strategy is likely to underperform in sideways markets.
Backtesting: Past performance does not guarantee future results. Always test this strategy in the Strategy Tester with appropriate commission and slippage settings before live use.
CME Quarterly ShiftsCME Quarterly Shifts - Institutional Quarter Levels
Overview:
The CME Quarterly Shifts indicator tracks price action based on actual CME futures contract rollover dates, not calendar quarters. This indicator plots the Open, High, Low, and Close (OHLC) for each quarter, with quarters defined by the third Friday of March, June, September, and December - the exact dates when CME quarterly futures contracts expire and roll over.
Why CME Contract Dates Matter:
Institutional traders, hedge funds, and large market participants typically structure their positions around futures contract expiration cycles. By tracking quarters based on CME rollover dates rather than calendar months, this indicator aligns with how major institutional players view quarterly timeframes and position their capital.
Key Features:
✓ Automatic CME contract rollover date calculation (3rd Friday of Mar/Jun/Sep/Dec)
✓ Displays Quarter Open, High, Low, and Close levels
✓ Vertical break lines marking the start of each new quarter
✓ Quarter labels (Q1, Q2, Q3, Q4) for easy identification
✓ Adjustable history - show up to 20 previous quarters
✓ Fully customizable colors and line widths
✓ Works on any instrument and timeframe
✓ Toggle individual OHLC levels on/off
How to Use:
Quarter Open: The opening price when the new quarter begins (at CME rollover)
Quarter High: The highest price reached during the current quarter
Quarter Low: The lowest price reached during the current quarter
Quarter Close: The closing price from the previous quarter
These levels often act as key support/resistance zones as institutions reference them for quarterly performance, rebalancing, and position management.
Settings:
Display Options: Toggle quarterly break lines, OHLC levels, and labels
Max Quarters: Control how many historical quarters to display (1-20)
Colors: Customize colors for each level and break lines
Styles: Adjust line widths for OHLC levels and quarterly breaks
Best Practices:
Combine with other Smart Money Concepts (liquidity, order blocks, FVGs)
Watch for price reactions at quarterly Open levels
Monitor quarterly highs/lows as potential targets or stop levels
Use on higher timeframes (4H, Daily, Weekly) for clearer institutional perspective
Pairs well with monthly and yearly levels for multi-timeframe confluence
Perfect For:
ICT (Inner Circle Trader) methodology followers
Smart Money Concepts traders
Swing and position traders
Institutional-focused technical analysis
Traders tracking quarterly performance levels
Works on all markets: Forex, Indices, Commodities, Crypto, Stocks
VWAP Breakout NY Open Only vwap breakout targeting multiday taking only 2 trades per day in the first 2 hours of ny session
Nikhil TimezoneNikhil Timezone Indicator
The Nikhil Timezone indicator is a time-based visual tool designed to help traders identify and analyze key intraday price behavior using Indian Standard Time (IST).
🔶 11:30–12:30 IST Body Range Zone
Automatically highlights the candle body range formed between 11:30 AM and 12:30 PM IST.
The zone is drawn using only open and close prices (not wicks), giving a clearer representation of real buying and selling pressure.
The box dynamically expands during the session to capture the highest and lowest candle bodies within this time window.
Useful for identifying midday consolidation, support/resistance zones, and potential breakout or rejection areas later in the session.
🔴 2:30 PM IST Candle Marker
Marks the 2:30 PM IST candle with a vertical dotted red line.
Adds a label for quick visual identification.
Helpful for traders who track late-session momentum, institutional activity, or pre-close setups.
📈 Best Use Cases
Intraday trading (especially index and liquid stocks)
Breakout and range-expansion strategies
Time-based market structure analysis
IST-focused trading workflows
This indicator is lightweight, non-repainting, and works seamlessly across intraday timeframes.
Ocean Master [JOAT]Ocean Master QE - Advanced Oceanic Market Analysis with Quantum Flow Dynamics
Overview
Ocean Master QE is an open-source overlay indicator that combines multiple analytical techniques into a unified market analysis framework. It uses ATR-based dynamic channels, volume-weighted order flow analysis, multi-timeframe correlation (quantum entanglement concept), and harmonic oscillator calculations to provide traders with a comprehensive view of market conditions.
What This Indicator Does
The indicator calculates and displays several key components:
Dynamic Price Channels - ATR-adjusted upper, middle, and lower channels that adapt to current volatility conditions
Order Flow Analysis - Separates buying and selling volume pressure to calculate a directional delta
Smart Money Index - Volume-weighted order flow metric that highlights potential institutional activity
Harmonic Oscillator - Weighted combination of 10 Fibonacci-period EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233, 377) to identify trend direction
Multi-Timeframe Correlation - Measures price correlation across 1H, 4H, and Daily timeframes
Wave Function Analysis - Momentum-based state detection that identifies when price action becomes decisive
How It Works
The core channel calculation uses ATR with a configurable quantum sensitivity factor:
float atr = ta.atr(i_atrLength)
float quantumFactor = 1.0 + (i_quantumSensitivity * 0.1)
float quantumATR = atr * quantumFactor
upperChannel := ta.highest(high, i_length) - (quantumATR * 0.5)
lowerChannel := ta.lowest(low, i_length) + (quantumATR * 0.5)
midChannel := (upperChannel + lowerChannel) * 0.5
Order flow is calculated by separating volume into buy and sell components based on candle direction:
The harmonic oscillator weights shorter EMAs more heavily using inverse weighting (1/1, 1/2, 1/3... 1/10), creating a responsive yet smooth trend indicator.
Signal Generation
Confluence signals require multiple conditions to align:
Bullish: Harmonic oscillator crosses above zero + positive Smart Money Index + positive Order Flow Delta
Bearish: Harmonic oscillator crosses below zero + negative Smart Money Index + negative Order Flow Delta
Dashboard Panel (Top-Right)
Bias - Current market direction based on price vs mid-channel
Entanglement - Multi-timeframe correlation score (0-100%)
Wave State - COLLAPSED (decisive) or SUPERPOSITION (uncertain)
Volume - Current volume relative to 20-period average
Volatility - ATR as percentage of price
Smart Money - Volume-weighted order flow reading
Visual Elements
Ocean Depth Layers - Gradient fills between channel levels representing different price zones
Channel Lines - Upper (surface), middle, and lower (seabed) dynamic levels
Divergence Markers - Triangle shapes when harmonic oscillator crosses zero
Confluence Labels - BULL/BEAR labels when multiple factors align
Suggested Use Cases
Identify trend direction using the harmonic oscillator and channel position
Monitor order flow for potential institutional activity
Use multi-timeframe correlation to confirm trade direction across timeframes
Watch for confluence signals where multiple factors align
Input Parameters
Length (default: 14) - Base period for channel and indicator calculations
ATR Length (default: 14) - Period for ATR calculation
Quantum Depth (default: 3) - Complexity factor for calculations
Quantum Sensitivity (default: 1.5) - Channel width multiplier
Timeframe Recommendations
Works on all timeframes. Higher timeframes (4H, Daily) provide smoother signals; lower timeframes require faster reaction times and may produce more noise.
Limitations
Multi-timeframe requests add processing overhead
Order flow estimation is based on candle direction, not actual order book data
Correlation calculations require sufficient historical data
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
Options Chain Table [Enhanced]The primary purpose of this script is Unusual Options Activity (UOA) Detection.Identifying "Whales": Traders use it to spot when large institutions or "smart money" are aggressively buying Calls (betting price goes up) or Puts (betting price goes down).Contextualizing Volume: Instead of just showing raw volume (e.g., "10,000 contracts traded"), it calculates a Ratio. If the average volume is 1,000 and today's volume is 10,000, that is a 10x Spike, which is highly significant.0DTE & Short-Term Trading: It is optimized for analyzing the "Active Expiration" (often the current day for SPX/NDX), making it useful for 0DTE (Zero Days to Expiration) strategies.2. Key Features & VisualsThe script overlays a table on your chart with the following columns:ColumnDescriptionCall AvgThe historical average volume (Moving Average) for the Call option.Call RatioThe "Spike Factor." calculated as $ NSE:CURRENT Volume / Average Volume$$. High ratios turn Green.Call VolThe actual volume traded today for that Call strike.StrikeThe Strike Price of the option (e.g., 5800). The "At-The-Money" (ATM) strike is highlighted Blue.Put VolThe actual volume traded today for that Put strike.Put RatioThe "Spike Factor" for Puts. High ratios turn Red/Fuchsia.Put AvgThe historical average volume (Moving Average) for the Put option.3. How It Works (Technical Breakdown)This script uses advanced Pine Script techniques to bypass some of TradingView's limitations regarding options data.A. Dynamic Symbol ConstructionTradingView does not have a simple function to "get the option chain." This script manually constructs the ticker symbol for each option contract using the OPRA format:Format: OPRA:ROOT Example: OPRA:SPXW251226C5800 (SPX Weekly, Dec 26, 2025, Call, 5800 Strike).B. Tuple Fetching (Optimization)TradingView limits scripts to 40 request.security calls. To display 11 rows of data (which would normally require 44 calls: Call Vol, Call MA, Put Vol, Put MA per row), the script uses Tuple Fetching. It requests the Volume and the Moving Average in a single request, cutting the data usage in half and allowing the table to load faster without errors.C. Spike LogicIt calculates a moving average (EMA or SMA) of the volume over a set lookback period (default 20 bars).Medium Spike (M): Volume is > 2x the average.Large Spike (L): Volume is > 3.5x the average.Extreme Spike (E): Volume is > 5x the average.4. How to Use It (User Guide)To use this script effectively, you must configure the "Inputs" correctly, as it cannot always guess the correct expiration dates automatically.Add to Chart: Add the script to a chart (works best on indices like SPX, NDX, SPY, QQQ).Set the Center Price (Crucial):In the settings, look for "Manual Center Price".Input the current price of the asset (e.g., if SPX is at 5815, enter 5815).Why? The script generates strikes around this number. If you leave it 0, it might try to use the close price, which can be buggy during pre-market or if data is delayed.Set the Expiration (DTE):The script attempts to default to "Today," but for best results, manually enter the date in YYMMDD format in the "Manual DTE" field.Example: For December 26, 2025, enter 251226.Read the Alerts:The script allows you to set alerts in TradingView."Any Spike → CALL": Tells you a Call option just had a massive volume spike."Any Spike → PUT": Tells you a Put option just had a massive volume spike.5. Strategy ExampleA trader using this script might see the following scenario:Market: SPX is trading sideways at 5800.Signal: The table flashes a bright green cell on the 5850 Call with a ratio of "E 6.2x" (Extreme, 6.2 times normal volume).Interpretation: Someone is aggressively buying out-of-the-money Calls. The trader might interpret this as a bullish signal (Gamma exposure increasing at 5850) and enter a long position, expecting the price to be magnetized toward 5850.
RSI(8) 30m Cross 70/20 AlertsRSI 30m Cross 70/20 Alerts (Intrabar, Any Chart TF)
This Pine Script indicator for TradingView provides RSI (Relative Strength Index) signals calculated specifically on a 30-minute timeframe, regardless of the chart's currently selected timeframe.
Key Features:
Dual Timeframe Logic: The script intelligently switches its calculation method based on whether your current chart's timeframe is higher or lower than 30 minutes.
Intrabar Alerts: Uses advanced request.security_lower_tf and lookahead logic to detect crosses of the overbought (70) and oversold (20) levels within the current bar, providing real-time signals rather than waiting for bar closure (note: this causes repainting on historical data, as intended by the script's original design).
Customizable Triggers: Users can choose between "Cross Up" or "Cross Down" modes for both long and sell signals.
Visual Signals: Places clear "LONG" (green, below bar) and "SELL" (red, above bar) labels directly on your chart when a signal is triggered.
Integrated Alerts: Includes both legacy alertcondition() calls and modern alert() functions for easy integration with TradingView's alert system.
This script is highly effective for traders who want consistent RSI signals from a specific, lower timeframe without changing their primary chart view.
CK INDEX Strategy Open-source code, Free, No Cost.Aqui está a tradução fiel e técnica para o inglês, ideal para a descrição do seu script no TradingView:
### 1. Requirements (The 3 Principles)
1. **Study** the code.
2. **Modify** the code.
3. **Distribute** copies or derivative versions (respecting the original credits).
Description: Direction and Strength — CK Index
The **CK Index** is a composite indicator formed by the conceptual sum of two CCIs and the PVT (Price Volume Trend) with an arithmetic mean. Its function is to simultaneously validate direction and accumulated flow.
For a **buy operation**, both CCIs must be above zero, indicating bullish dominance across different time horizons, and the PVT must be above its average. For a **sell operation**, the CCIs must be below zero and the PVT below its average.
It is important to emphasize that it acts as an **entry trigger**: the candle will turn **blue** to indicate a buy, **yellow** for a sell, and **white** when there is neutrality (meaning the color will be white when there is no clear definition—these are my personal settings). In its default form, it uses **green, red, and gray**, respectively.
Good trades, and make the world a better and freer place!
G Trade SessionsWe built this indicator because we was tired of guessing when major markets open and close. It draws simple boxes around each trading session so you can instantly see where the action is.
What it does:
Shows you the four key sessions — Asia, Frankfurt, London, and New York — as transparent boxes right on your chart. Each box marks the high and low of that session, which is super useful for spotting support/resistance levels.
Why I like it:
No clutter — boxes are subtle and don't get in the way
Labels switch from black to white automatically depending on your chart theme (dark or light)
Sessions don't overlap, so the chart stays clean
You can turn off any session you don't care about
Hope you find it useful!
Quant-Action Pro: Triple Confluence EngineQuant-Action Pro: Triple Confluence Engine
Systematic Framework for Structural Price Action Analysis
Quant-Action Pro is a high-performance analytical engine designed to synchronize institutional liquidity flow with market geometry. Instead of traditional "signals," this framework identifies Structural States where three independent algorithmic layers align, providing a objective roadmap for the current price action context.
1. Core Algorithmic Matrix
The engine operates by monitoring the interaction between price and three proprietary logic layers:
A. Institutional Flow Node (SP2L) —
Logic: Monitors "Passive Liquidity Absorption" at the 20-period EMA.
Function: Identifies zones where institutional buyers/sellers are defending the trend's equilibrium. This is not a simple touch; it requires a validated "Touch-and-Hold" sequence.
B. Structural Flip Scanner (BTB) —
Logic: Detects the transition from old supply to new demand (S/R Flip).
Function: Uses a 3-phase Break-Test-Break verification to confirm that a structural breakout is backed by volume, reducing the risk of "Fake-outs."
C. Liquidity Compression Monitor (Micro Map) —
Logic: Statistical range-contraction analysis (Volatility Squeeze).
Function: Signals a High-Density State where price is coiling for an expansion move.
2. The Golden State: Triple Confluence Logic
The GOLD label represents the "Apex" of this engine. It is triggered only when the SP2L, BTB, and Micro Map layers synchronize on a single candle. In structural terms, this means:
Trend Defense (SP2L) is active.
Structural Breakout (BTB) is confirmed.
Volatility Expansion (MM) is imminent.
This Triple-Layer filtering ensures that Golden Signals only appear during periods of maximum market conviction.
3. Professional Implementation (Structural View)
MTF Trend Matrix: A built-in dashboard provides a 1H, 4H, and 1D diagnosis to ensure local setups align with the Macro Trend.
Smart Invalidation (Adaptive Trendlines): The engine draws dynamic geometry to define the current "Structural Floor/Ceiling." A decisive close beyond these lines acts as a clear Invalidation Point for the current thesis.
Mean Reversion: The system uses the 200-EMA as the primary directional filter, defining whether the market is in a "Bullish Expansion" or "Bearish Correction" state.
⚠️ Risk Disclaimer
Trading financial instruments involves significant risk. Quant-Action Pro is an educational tool designed for research and structural analysis. It does not provide financial advice. Past performance is not indicative of future results. Always use strict risk management.
Confluence Execution Engine (2of3)The Confluence Execution Engine is a high-performance logic gate designed to filter out market noise and identify high-probability "Golden" entries. It moves beyond simple indicator signals by acting as a mathematical validator for price action. This engine is designed for the Systematic Trader. It removes the "guesswork" of whether a move is real or an exhaustion pump by requiring a mathematical confluence of volume, multi-timeframe momentum, and volatility-adjusted space.
Why This Tool is Unique:
Multi-Dimensional Scoring, Momentum-Adjusted Stretch, Institutional Fingerprint (RVOL + Spike)
Unlike a standard MACD or RSI, this engine uses a weighted scoring matrix. It pulls a "Bundle" of data (WaveTrend, RSI, ROC) from four different timeframes simultaneously. It doesn't give a signal unless the mathematical weight of all four timeframes crosses your "Hurdle" (Base Threshold).
Standard "overbought" indicators are often wrong during strong trends. This engine uses Dynamic Z-Score logic. The Logic: If the price moves away from the mean, it checks the Rate of Change (ROC). The Result: If momentum is massive, the "Stretch" limit expands. It understands that a "stretched" price is actually a sign of strength in a breakout, not a reason to exit. It only warns of a TRAP RISK when the price is far from the mean but momentum is starting to stall.
The engine is gated by Relative Volume. If the market is "sleepy," the engine stays in "PATIENCE" mode. It specifically hunts for Volume Spikes (default 2.5x average). A signal is only upgraded to "HIGH CONVICTION" when an institutional volume spike occurs, confirming that "Big Money" is participating.
How to Operate the Engine
Define Your Hurdle: Set your Confluence Hurdle. A higher number (e.g., 14+) requires more agreement across timeframes, leading to fewer but higher-quality trades.
Monitor the Z/Dynamic Ratio: In the HUD, watch the Z: X.XX / Y.YY. When X approaches Y, you are reaching the edge of the momentum-adjusted move.
The Entry Trigger: Wait for a "LOOK FOR..." advice to turn into a "HIGH CONVICTION" signal (marked by a triangle shape). This confirms that the MTF scoring, Volume, and HTF Trend are all aligned.
Execute the Lines: Use the red and green "Ghost Lines" to set your orders. These are ATR-based, meaning they widen during high volatility to give your trade room to breathe.
For holistic trading system, pair with Volatility Shield Pro and Session Levels
Price Log Regression (by Currency)1. Introduction
This indicator draws a logarithmic regression line directly on top of the price candles, showing the long‑term “average” growth path of any asset in the currency you select (for example USD). It is inspired by popular log‑regression studies used on assets like Bitcoin, where price is transformed to a log scale and a straight regression line is used to visualize macro trends and diminishing returns over time.
2. Key Features
- Currency‑aware trend line : Before calculating the regression, the script converts the asset’s price into the chosen currency, so the line represents the trend of “price in USD”, not just the original quote on the chart.
- Logarithmic regression : The script takes the logarithm (base 10) of the converted price, applies a linear regression to that log series, and then converts the result back to normal price; this produces a smooth line that follows the exponential character of many long‑term price moves.
- On‑chart overlay : Only the regression line is plotted and `overlay` is enabled, so the line appears directly over your existing candles, keeping the chart clean and making it easy to compare current price versus its long‑term log‑trend in the selected currency.
3. How to Use
- Add the script to any symbol and timeframe, then choose the Currency input (for example set it to “USD” if you want to see the trend of that asset measured in Dolars).
- Adjust the Regression length input: longer lengths give a slower, smoother macro line, while shorter lengths react more to recent price action; use what best matches the horizon you are analysing.
- Read the line as an analytical tool, not as guaranteed support or resistance: if price is far above the line, it may indicate an extended move relative to its long‑term path in that currency; if it is far below, it may indicate a cheaper zone relative to that same path, always remembering that this is educational analysis and not financial advice.
Note: This indicator focuses on long‑term logarithmic trends rather than short‑term noise, it is best suited for longer‑horizon approaches such as swing trading and position trading, rather than intraday scalping.
Elite MTF EMA Reclaim StrategyThis script is a 6-minute execution MTF EMA “retest → reclaim” strategy. It looks for trend-aligned pullbacks into fast EMAs, then enters when price reclaims and (optionally) retests the reclaim level—while filtering out chop (low trend strength/volatility or recent EMA20/50 crosses) and enforcing higher-timeframe alignment (Daily + 1H, or whichever you select).
How to use
Run it on a 6-minute chart (that’s what the presets are tuned for).
Pick your Market (Forex / XAUUSD / Crypto / Indices) and a Preset:
Elite = strictest, cleanest (fewer signals)
Balanced = middle ground
Aggressive = most signals, loosest filters
Set HTF Alignment Mode:
D + H1 (recommended) for highest quality
Off if you want more trades / LTF-only testing
Leave Kill Chop = ON (recommended). If you’re not getting trades, this is usually the blocker.
Choose entry behavior:
If Require Retest = true, entries happen on the retest after reclaim (cleaner, later).
If Require Retest = false, entries trigger on reclaim using Reclaim Timing Default:
“Preset” uses the strategy’s recommended default per market/preset
or force Reclaim close / Next bar confirmation
For backtesting, keep Mode = Strategy (Backtest). For alerts/visual-only, set Mode = Indicator (Signals Only).
Use Show Signals (All Modes) to toggle triangles on/off without affecting trades.
Tip: If TradingView says “not enough data,” switch symbol history to “All,” reduce HTF alignment (try H1 only), or backtest a more recent date range.
Adaptive MTF Momentum█ WHAT MAKES THIS INDICATOR DIFFERENT
This indicator solves a common problem: lower timeframe noise causing false signals. Instead of using fixed settings, it dynamically selects which higher timeframes to monitor based on your current chart.
The core methodology combines three analysis layers that must ALL agree before generating a signal:
1. Multi-timeframe trend alignment (direction filter)
2. Momentum exhaustion detection (timing filter)
3. Volume and structure confirmation (validation filter)
This triple-confirmation approach significantly reduces false signals compared to single-indicator strategies.
█ METHODOLOGY EXPLAINED
Layer 1: Adaptive Timeframe Selection
The indicator automatically builds a timeframe chain based on your chart:
| Your Chart | Monitors |
|------------|----------|
| 5 minute | 30m + 1H + 4H |
| 15 minute | 1H + 4H + Daily |
| 30 minute | 2H + 8H + Daily |
For each higher timeframe, it calculates EMA crossovers (8/21/50) to determine trend direction. The "alignment score" (0-3) shows how many timeframes agree.
Why this matters: A 5m buy signal is more reliable when 30m, 1H, AND 4H all show bullish structure.
Layer 2: Momentum Timing
Once trend direction is confirmed, the indicator waits for optimal entry timing using:
- RSI (14): Identifies oversold (<30) and overbought (>70) conditions
- Stochastic (14,3,3): Confirms momentum shift via K/D crossovers
- MACD (12,26,9): Validates momentum direction change
A "momentum score" combines these readings. Signals only fire when momentum aligns with the higher timeframe trend.
The logic: In an uptrend, we want to buy when momentum is oversold and turning up. In a downtrend, we want to sell when momentum is overbought and turning down.
Layer 3: Validation Filters
Before any signal appears, these conditions must pass:
- Volume Filter: Current volume must exceed 1.2x the 20-period average. This confirms institutional participation.
- VWAP Filter: For longs, price should be above VWAP. For shorts, below VWAP. This ensures we trade with intraday flow.
- Structure Filter: Requires a recent break of swing high (for longs) or swing low (for shorts). This confirms price is actually moving in our direction.
- ATR Filter: Volatility must be above 50% of its 50-period average. This avoids low-volatility chop.
█ SIGNAL CLASSIFICATION
The indicator categorizes signals by entry type:
REV (Reversal): Momentum reaches extreme (RSI oversold/overbought) while higher timeframes maintain trend. Best for catching pullbacks in trends.
CONT (Continuation): Price pulls back to the 21 EMA in a strong trend, then momentum turns. Best for adding to existing positions.
BRK (Breakout): Price breaks structure level with volume spike. Best for catching new moves early.
█ QUALITY SCORE CALCULATION
Each signal receives a Q1-Q5 rating based on:
- HTF alignment score (0-3 points)
- Momentum score (0-3 points)
- Volume spike present (+1 point)
Higher scores indicate more filters aligned. Q4-Q5 signals have the highest probability.
█ RISK MANAGEMENT
TP/SL levels are calculated using ATR(14):
- Stop Loss: 1.2 x ATR from entry
- TP1: 1.8 x ATR (partial exit)
- TP2: 3.0 x ATR (full exit)
This provides approximately 1.5:1 to 2.5:1 reward-to-risk ratio.
█ HOW TO USE
1. Apply to 5m, 15m, or 30m chart
2. Enable "Auto-Adapt" mode (recommended)
3. Wait for signals with Q3 or higher rating
4. Check dashboard confirms trend alignment
5. Enter with suggested TP/SL levels
Settings Guide:
- Sensitivity: "Conservative" = fewer but higher quality signals
- Sensitivity: "Aggressive" = more signals, lower threshold
- Cooldown: Increase to 10-15 if signals appear too frequently
█ DASHBOARD READINGS
- HTF: Shows active timeframe chain
- Trend: Bull/Bear + alignment score (aim for +2 or +3)
- RSI/Stoch: Current value or OS/OB status
- Vol: "SPIKE" when above threshold
- VWAP: Arrow shows price position relative to VWAP
█ LIMITATIONS
- Works best in trending markets; avoid during ranging/choppy conditions
- Designed for intraday timeframes (5m-30m); not optimized for higher timeframes
- Signals are not guarantees; always use proper risk management
- Past performance does not indicate future results
█ ALERTS AVAILABLE
- Long / Short: Any signal
- HQ Long / HQ Short: Q4+ signals only (recommended)
- Any: All signals combined
Breakout Liquidity Strategy//@version=5
indicator("Breakout Liquidity Strategy", overlay=true)
// ===== Inputs =====
lenVol = input.int(20, "Volume MA")
lenMFI = input.int(14, "MFI Length")
// ===== Indicators =====
volMA = ta.sma(volume, lenVol)
mfi = ta.mfi(hlc3, lenMFI)
vwap = ta.vwap(close)
// ===== Conditions =====
liquidityIn = mfi > 50 and volume > volMA
priceBreak = close > ta.highest(high, 20)
aboveVWAP = close > vwap
breakout = liquidityIn and priceBreak and aboveVWAP
// ===== Plot =====
plotshape(breakout, title="BREAKOUT", style=shape.labelup,
location=location.belowbar, color=color.new(color.green, 0), text="🚀")
plot(vwap, color=color.orange, linewidth=2, title="VWAP")
Kabroda BattleBox Command [Renderer]Kabroda BattleBox Command
This is a specialized visualization utility designed to render pre-calculated institutional price levels on your chart. It is intended for traders who utilize the Kabroda Daily Calibration method to define their intraday execution framework.
How it Works: This script does not calculate levels internally. Instead, it serves as a "renderer" for external data.
Input: The user inputs a comma-separated data string (generated daily via their Kabroda Dashboard calibration) into the settings.
Parsing: The script parses this string to extract 6 key price coordinates: Daily Resistance, Breakout Trigger, Breakdown Trigger, Daily Support, and the 30-minute Opening Range High/Low.
Visualizing: It projects these levels forward in time for the current trading session.
Key Features:
Execution Levels: Plots specific Breakout and Breakdown triggers derived from the opening 30-minute volatility.
Liquidity Sessions: Automatically highlights key global trading hours (London Open, NY AM, NY PM, Tokyo, Sydney) based on New York Time, helping traders visualize volume injection points.
Imbalance Zones (Optional): Identifies and highlights market imbalances created by aggressive buying or selling, which often act as magnets for price re-tests.
Usage Guide:
Step 1: Obtain your daily data string.
Step 2: Open Indicator Settings -> "Daily Calibration".
Step 3: Paste the string into the "Paste Data String" field.
Step 4: The script will instantly render the day's battle map.
Disclaimer: This tool is a visualization aid. It requires valid external data to function. Without the daily input string, the chart will remain blank.
Rate Trail IndicatorRate Trail Indicator Precision Trailing Stop & Multi-Timeframe Highs
Description The Rate Trail Indicator V2 is a professional-grade risk management tool designed to declutter your charts while providing precise, dynamic stop-loss levels. Unlike traditional indicators that paint a continuous "trail" or history across the chart, this script utilizes a Single Line visual approach. It draws only the currently active stop-loss level as a distinct horizontal line, keeping your workspace clean and focused on current price action.
This updated version now includes extensive Multi-Timeframe (MTF) Support, allowing you to overlay key Intraday and Higher Timeframe (HTF) highs directly on your chart.
Key Features Clean "Single Line" Visuals: Removes historical noise by plotting only the active stop-loss level and a dedicated price label. Dual Logic Modes: Percentage Mode: Classic trailing stop based on a percentage drop from the high. Renko Mode: Volatility-based stop that counts exact "Bricks" (supports decimals like 1.5 bricks). Dynamic Reset: The stop trails the "Lifetime High" of the current trend. If the stop is breached, it automatically resets to the current price to begin a new trail immediately. MTF High Breakout Levels: Optional toggles to display previous Intraday Highs (2H, 4H, 6H, 12H) and Historical Highs (1W, 2W, 1M, 3M). Rolling 3-Month Logic: The 3M level now uses a "Rolling" lookback (Highest of the last 3 monthly candles) rather than a fixed calendar quarter, ensuring the data is always recent and relevant. Full Customization: Control line styles (Solid, Dashed, Dotted), colors, and widths for every level independently via the inputs.
How to Use & Settings
1. Main Trailing Stop Setup Configure your primary risk line (Red Line) in the "Main Trailing Stop" group. Stop-Loss Mode: Select Percentage for standard equity/crypto trading (e.g., 2% trail) or Renko Boxes for Renko charts. Renko Boxes Down: Enter the number of bricks to trail. You can use decimals (e.g., 1.5) for fine-tuning. Use Fixed Lookback?: Unchecked (Default): The script tracks the "Infinite High" since the last reset. This is ideal for catching long trends. Checked: The script only looks at the highest price of the last X bars. This creates a more "rolling" stop-loss.
2. Intraday & Historical Highs (Resistance/Breakout) Enable up to eight additional lines to see where the price peaked on other timeframes. These act as strong breakout or resistance levels. Intraday Highs: Show the high of the previous 2H, 4H, 6H, or 12H session. 1W / 1M Highs: The highest price of the previous Week or Month. 2W High: The highest price of the last 2 Weeks . 3M High (Updated): The highest price of the last 3 Months (Rolling). This updates monthly, ensuring you aren't looking at data that is 6 months old.
3. Alerts You can set specific alerts to automate your trading or get notified instantly. Main Stop Breached: Fires when price closes below your trailing stop line. MTF High Cross: Fires when price crosses under any of the enabled Intraday or HTF High levels (2H, 4H, 1W, 3M, etc.).
Global Macro Scanner & Relative PerformanceDescription: This indicator is an all-in-one Macro Dashboard that allows traders to track money flow across major global asset classes in real-time. It combines a floating data table with a normalized percentage-performance chart.
Features:
Macro Dashboard (Table): Displays the current value, daily % change, and status (Inflow/Outflow) for 9 key economic sectors:
US M2 Supply: Tracks monetary inflation/tightening.
DXY (US Dollar): Currency strength.
Bonds (AGG): US Aggregate Bond market.
Stocks (VT): Total World Stock Index.
Real Estate (VNQ): Vanguard Real Estate ETF.
Commodities: Oil (WTI), Gold, and Silver.
Crypto: Total Crypto Market Cap.
Relative Performance Chart (Lines): Instead of plotting raw prices (which have vastly different scales), this script plots the Percentage Return relative to a baseline.
Lookback Period: You can set a lookback (default 100 bars). The script sets the price 100 bars ago as "0%" and plots how much each asset has gained or lost since then.
Comparison: This allows you to visually see which assets are outperforming or underperforming relative to each other over the same time period.
Visual Aids:
Dynamic Labels: Each line is tagged with a label at the current candle so you can identify assets without needing a legend.
Colors: Each asset has a distinct, fixed color for consistency between the table and the chart.
How to use:
Add the script to your chart.
Adjust the "Lookback" setting in the inputs to change the starting point of the comparison (e.g., set it to the start of the year to see Year-to-Date performance).
Use the dashboard to spot daily money flow rotation (e.g., Money moving out of Stocks and into Gold).
ADR SQUEEZEADR SQUEEZE – Volatility Compression & Expansion
ADR SQUEEZE is a volatility-based indicator that uses Average Daily Range (ADR) to identify price compression (squeeze) and range expansion phases.
It compares the daily % price change with ADR-derived thresholds to classify market conditions.
Marker Meanings (Plotted on Zero Line)
Pink Dot – Tight Squeeze
Price movement is significantly smaller than normal ADR.
Indicates strong volatility contraction and energy buildup.
Yellow Dot – Mild Squeeze
Price movement is increasing but still below full ADR.
Often appears just before expansion.
Green Cross – Expansion Up
Price change exceeds ADR to the upside.
Signals strong bullish range expansion.
Red Cross – Expansion Down
Price change exceeds ADR to the downside.
Signals strong bearish range expansion.
How to Use
Watch for extended pink dots as early compression zones
Yellow dots often mark transition from squeeze to move
Green / Red crosses confirm directional expansion
Best used with price structure, breakouts, and trend context
Custom Sector Comparison Index (CSCI)Compare any stock against a custom basket of its true peers.
Most traders compare stocks to broad indexes like the S&P 500 (SPY) or the Nasdaq (QQQ). But if you are analyzing a niche sector—like Residential REITs, Gold Miners, or AI Semis—broad indexes are too noisy.
This indicator allows you to build your own Custom Equal-Weight Index made up of up to 12 specific symbols. It then plots the performance of the stock you are currently viewing against that custom index, starting from a specific "Anchor Date" of your choosing.
Why use this?
Standard relative strength tools force you to compare against a single symbol (like SPY). But if you want to know if Centerspace (CSR) is lagging its direct competitors, comparing it to SPY (which contains Tech and Healthcare) is useless. Comparing it to VNQ (which contains Cell Towers and Malls) is also imperfect.
With this tool, you can create a "Pure Residential REIT" index and see exactly how your stock is performing against the group.
Key Features:
Fully Configurable: Input up to 12 different symbols to build your custom index.
Smart Filtering: Automatically ignores blank slots. You can build a basket of 3 stocks or 12 stocks without breaking the math.
Custom Anchor Date: Set the specific start date for the comparison (e.g., YTD, Q3 start, or a specific market event).
Visual Performance Gap: Green shading indicates your stock is outperforming the basket; Red shading indicates underperformance.
Example Use Case: Residential REITs
I developed this to analyze the "Residential REIT" sector. I wanted to see if Invitation Homes (INVH) was trading at a discount due to fundamentals or if the whole sector was down.
I configured the basket with 9 of its closest peers:
NYSE:VRE, NYSE:UDR, NYSE:MAA
NYSE:EQR, NYSE:CSR, NYSE:ESS
NYSE:CPT, NYSE:AVB, NYSE:AMH
The Result: The indicator draws a gray line representing the average return of those 9 "Big Boys." I can then load CSR on the chart and immediately see if it is lagging the pack (a potential value buy) or leading it.
How to Use:
Add the indicator to your chart.
Open Settings (Double-click the line).
Start Date: Set the date you want the "race" to begin (where all returns reset to 0%).
Symbols: Type in the tickers for your custom basket (e.g., NVDA, AMD, INTC). Leave unused slots blank.
Analyze:
Gray Line: The average performance of your basket.
Blue Line: The performance of the current symbol on your chart.
Pro Tip: You can save different "Presets" in the indicator settings for different sectors (e.g., save one preset as "Semis" and another as "Oil Majors") so you don't have to re-type symbols every time.
Wedge Green SquadWedge GS automatically detects confirmed swing highs and lows and draws clean wedge trendlines directly from the true pivot bars. The indicator uses non-repainting pivots and extends the lines forward to highlight contracting price structures, potential breakouts, and compression zones.
Designed for traders who value structure over noise, it works best on higher timeframes and pairs naturally with support, resistance, and volume analysis. This tool focuses on clarity and reliability, not prediction.
NQ Command Center [EOD Predictor]This is a sophisticated Macro-correlated Dashboard designed specifically for trading NQ (Nasdaq 100). It attempts to predict how the daily candle will close (Green or Red) by combining Price Action (Market Structure) with External Market Drivers (Yields, Volatility, Dollar, and Breadth).
How This Script Works
The script assigns a "Score" to current market conditions. The higher the score, the more bullish the prediction. The lower the score, the more bearish.
1. The "Structure" Score (Price Action) It looks at the Daily High/Low (PDH/PDL) and recent daily trend:
Bullish (+1): We are making Higher Highs/Higher Lows, or price is holding in the top 33% of yesterday's range.
Breakout (+2): Price has broken above the Previous Daily High (PDH).
Bearish (-1/-2): We are making Lower Highs, or price has broken below the Previous Daily Low (PDL).
2. The "Macro" Score (External Data) It pulls data from 5 external tickers to see if the environment supports a move:
ADDQ (Breadth): If > 0, more stocks are advancing than declining (Bullish).
VXN (Volatility): If falling, fear is decreasing (Bullish).
DXY (Dollar) & US10Y (Yields): If these are dropping, it is usually good for Tech/Nasdaq (Bullish).
CVD (Volume): Estimates if volume is dominated by buyers or sellers.
3. The Prediction (The Output) It sums these scores.
Total Score ≥ 4: "STRONG GREEN CLOSE 🚀" (High confidence Longs)
Total Score ≤ -4: "STRONG RED CLOSE 🩸" (High confidence Shorts)
Near 0: "CHOP / NEUTRAL" (Avoid trading or take quick scalps).
How to Use It Effectively
Symbol: Open a chart for NQ1! (Nasdaq Futures) or NDX.
Timeframe: This is designed for Intraday trading. Use 5m, 15m, or 1h charts. (Do not use on Daily chart, as the table lines up intraday data against daily history).
The Dashboard: Look at the table in the top right.
Focus on "AI Forecast": If it says STRONG GREEN, look for Long setups (pullbacks to support).
Check Confidence: If Confidence is "LOW", the macro data might be conflicting with price action (e.g., Price is going up, but Volume is selling). Be careful.
The Lines: The script plots Green (PDH) and Red (PDL) lines on your chart.
These are key reaction points. If price breaks the Green line, the "Live Status" on the dashboard will switch to BREAKOUT.
