XAUUSD Time Structure (VN, Auto DST, Clean)A clean, line-only session timing tool for XAUUSD in Vietnam time (Asia/Ho_Chi_Minh). Draws faint vertical dotted lines for key time boundaries: Asia range, EU pre-market, London decision, and NYMEX expansion. Includes automatic DST switching for London and New York. For educational purposes only.
Indicadores y estrategias
LWAI Merry Christmas indicatorLWAI here hopes for world peace, that everyone can make money together, share food, and live happily every day. It's not about becoming a hugely successful person, but simply about being able to be happy with family and friends.
Liquidity Guard v4.0 This script is designed for Market Makers (MM), Grid Traders, and Mean Reversion strategists. Its primary purpose is not to tell you when to enter a trade, but when to stop trading and withdraw liquidity to avoid "catching falling knives" or "selling too early" during extreme unilateral movements.
Unlike traditional indicators that require constant parameter tuning for different assets (e.g., BTC vs. PEPE), this script features a Normalized Z-Score Algorithm, making it adaptive to any asset class, price scale, or time frame without manual adjustment.
这是一个专为 做市商 (Market Makers)、网格交易者 (Grid Traders) 和 马丁策略 (Martingale) 设计的风控系统。它的核心目的不是告诉你“何时买入”,而是告诉你 “何时停止交易” 并撤回挂单,以防止在极端的单边行情中“接飞刀”或“卖飞”。
本指标最大的亮点是采用了 归一化 Z-Score (标准化分数) 算法。这意味着您不需要针对 BTC、ETH 或小币种分别调整参数,一套参数即可自适应所有币种和时间周期。
RSI Ladder TP Strategy v1.0 Overview
This strategy is an RSI-based reversal entry system with a ladder-style take-profit mechanism.
It supports Long-only, Short-only, or Both directions and provides optional Average Entry Price, Stop Loss, and Take Profit reference lines on the chart.
Entry Rules
Long Entry: RSI crosses above the Oversold level (default: 20).
Short Entry: RSI crosses below the Overbought level (default: 80).
Optional: If enabled, the script will close the current position when an opposite signal appears before opening a new one.
Exit Rules (Ladder Take Profit)
Take profit is placed as a ladder using tpLevels and tpStepPct.
Example (default tpStepPct = 1%, tpLevels = 10):
TP1 at +1%, TP2 at +2%, … TP10 at +10% (relative to current average entry price).
Each TP level closes tpClosePct of the remaining position, meaning it scales out geometrically:
If tpClosePct = 50% → remaining position becomes 50%, then 25%, then 12.5%, etc.
Stop Loss
Optional stop loss is placed at slPct (%) away from the average entry price:
Long: avg * (1 - slPct%)
Short: avg * (1 + slPct%)
Visual Lines
Average Entry Price Line: current strategy.position_avg_price
Stop Loss Line: based on slPct
Next TP Line: shows the estimated next TP level based on current profit%
All TP Lines: optional (can clutter the chart)
==============================================================
Recommended Use
This strategy is best used on markets with strong mean-reversion behavior.
For exchanges/bots that do not support hedge mode in a single strategy, run two separate instances:
One set to Long Only
One set to Short Only
PDH/PDL Breakout Pip MeasurerThe indicator tracks and measures daily breakout performance when price breaks the Previous Day's High (PDH) or Previous Day's Low (PDL). This indicator provides exact pip/point measurements of how far breakouts travel before hitting your stop-loss, with comprehensive statistics for strategy optimization.
Function
Tracks breakouts above PDH (Previous Day's High) and below PDL (Previous Day's Low)
Measures maximum distance price travels after breakout before stop-loss hit
Calculates exact pip/point gains for every breakout move
Provides statistical analysis of breakout performance over time
Identifies only first breakout of each day for clean signals
Performance Metrics
Exact pip measurement for every breakout move
Statistics table with Count, Average, Min, Max pips
Separate tracking for bullish and bearish breakouts
Historical performance accumulation over time
Active breakout monitoring in real-time
Settings
Adjustable pip multiplier - works with any instrument (Forex, indices, crypto)
Separate stop-loss settings for bull/bear breakouts
Visual control - show/hide levels, labels, table
Built-in alerts for breakout notifications
Smart Money Fluid [JOAT]
Smart Money Fluid — Accumulation and Distribution Flow Analysis
Smart Money Fluid tracks institutional-style accumulation and distribution patterns using a sophisticated combination of Money Flow Index, Chaikin Money Flow, and VWAP-relative price analysis. It aims to reveal whether larger participants may be accumulating (buying) or distributing (selling)—information that can precede significant price moves.
What Makes This Indicator Unique
Unlike single money flow indicators, Smart Money Fluid:
Combines three different money flow methodologies into one composite signal
Detects divergences between price and money flow automatically
Identifies high-volume conditions that add conviction to signals
Provides both the composite signal and individual component values
Features a momentum histogram showing flow acceleration
What This Indicator Does
Combines multiple money flow indicators into a composite signal (0-100 scale)
Identifies accumulation zones (potential institutional buying) and distribution zones (potential selling)
Detects divergences between price and money flow
Highlights high-volume conditions for stronger signals
Tracks momentum direction within the flow
Provides comprehensive dashboard with all component values
Composite Calculation Explained
The Smart Money Flow composite combines three proven money flow methodologies:
// Component 1: Money Flow Index (MFI) - 40% weight
// Measures buying/selling pressure using price and volume
float mfi = 100 - (100 / (1 + mfRatio))
// Component 2: Chaikin Money Flow (CMF) - 30% weight
// Measures accumulation/distribution based on close position within range
float cmf = sum(mfVolume, length) / sum(volume, length) * 100
// Component 3: VWAP Price Strength - 30% weight
// Measures price position relative to volume-weighted average price
float priceVsVWAP = (close - vwap) / vwap * 100
// Final Composite (scaled to 0-100)
float rawSMF = (mfi * 0.4 + (cmf + 50) * 0.3 + (50 + priceVsVWAP * 5) * 0.3)
float smf = ta.ema(rawSMF, smoothLength)
State Classification
Accumulating (Green Zone) — SMF above accumulation threshold (default: 60). Suggests institutional buying may be occurring.
Distributing (Red Zone) — SMF below distribution threshold (default: 40). Suggests institutional selling may be occurring.
Neutral (Gray Zone) — SMF between thresholds. No clear accumulation or distribution detected.
Divergence Detection
The indicator automatically detects divergences using pivot analysis:
Bullish Divergence — Price makes a lower low while SMF makes a higher low. This suggests selling pressure is weakening despite lower prices—potential reversal signal.
Bearish Divergence — Price makes a higher high while SMF makes a lower high. This suggests buying pressure is weakening despite higher prices—potential reversal signal.
Divergences are marked with "DIV" labels on the chart.
Visual Features
SMF Line with Glow — Main composite line with gradient coloring and glow effect
Signal Line — Slower EMA of SMF for crossover signals
Flow Momentum Histogram — Shows the difference between SMF and signal line with four-color coding:
- Bright green: Positive and accelerating
- Faded green: Positive but decelerating
- Bright red: Negative and accelerating
- Faded red: Negative but decelerating
Zone Backgrounds — Green tint in accumulation zone, red tint in distribution zone
Reference Lines — Dashed lines at accumulation/distribution thresholds, dotted line at 50
Strong Signal Markers — Triangles appear when accumulation/distribution occurs with high volume
Divergence Labels — "DIV" markers when divergences are detected
Color Scheme
Accumulation Color — Default: #00E676 (bright green)
Distribution Color — Default: #FF5252 (red)
Neutral Color — Default: #9E9E9E (gray)
Gradient Coloring — SMF line transitions smoothly between colors based on value
Dashboard Information
The on-chart table (top-right corner) displays:
Current SMF value with state coloring
State classification (ACCUMULATING, DISTRIBUTING, or NEUTRAL)
Flow momentum direction (Up/Down with magnitude)
MFI component value
CMF component value with directional coloring
Volume status (High or Normal)
Active divergence detection (Bullish, Bearish, or None)
Inputs Overview
Calculation Settings:
Money Flow Length — Period for flow calculations (default: 14, range: 5-50)
Smoothing Length — EMA smoothing period (default: 5, range: 1-20)
Divergence Lookback — Bars for pivot detection in divergence analysis (default: 5, range: 2-20)
Sensitivity:
Accumulation Threshold — Level above which accumulation is detected (default: 60, range: 50-90)
Distribution Threshold — Level below which distribution is detected (default: 40, range: 10-50)
High Volume Multiplier — Multiple of average volume for "high volume" classification (default: 1.5x, range: 1.0-3.0)
Visual Settings:
Accumulation/Distribution/Neutral Colors — Customizable color scheme
Show Flow Histogram — Toggle momentum histogram
Show Divergences — Toggle divergence detection and labels
Show Dashboard — Toggle the information table
Show Zone Background — Toggle colored backgrounds in accumulation/distribution zones
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
How to Use It
For Trend Confirmation:
Accumulation during uptrends confirms buying pressure
Distribution during downtrends confirms selling pressure
Divergence between price trend and SMF warns of potential reversal
For Reversal Detection:
Bullish divergence at price lows suggests potential bottom
Bearish divergence at price highs suggests potential top
Strong signals (triangles) with high volume add conviction
For Entry Timing:
Enter longs when SMF crosses into accumulation zone
Enter shorts when SMF crosses into distribution zone
Wait for high volume confirmation for stronger signals
Use divergences as early warning for position management
Alerts Available
SMF Accumulation Started — SMF entered accumulation zone
SMF Distribution Started — SMF entered distribution zone
SMF Strong Accumulation — Accumulation with high volume
SMF Strong Distribution — Distribution with high volume
SMF Bullish Divergence — Bullish divergence detected
SMF Bearish Divergence — Bearish divergence detected
Best Practices
High volume during accumulation/distribution adds significant conviction
Divergences are early warnings—don't trade them alone
Use in conjunction with price action and support/resistance
Works best on liquid markets with reliable volume data
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Po3 Candle OpensMarks out the 9:30 / 9:45 / 10:00 / 10:15 / 10:30 candle opening.
You can turn off certain times in the settings, if not needed.
The colors are also customizable.
RSI Divergence + Lines (Final Fixed)AI organizes information.
Welcome to use it!
This is an advanced RSI indicator designed specifically for TradingView, perfectly combining an **aesthetic purple gradient interface** with **automatic divergence plotting**.
It automatically detects and draws both "Regular" and "Hidden" Bullish/Bearish divergence lines (displayed as solid and dashed lines) directly on the RSI, allowing you to identify potential trend reversal signals at a glance. It also retains the Smoothing MA and Bollinger Bands features to save you time on manual drawing—making it a powerful tool to assist your trading!
TZ - India VIX Volatility ZonesTZ – India VIX Volatility Zones is a long-term volatility analysis indicator designed to visually map important India VIX regimes using clearly defined horizontal zones and labels.
The indicator highlights how market volatility cycles between complacency, normal conditions, elevated risk, and panic phases. These zones are based on historical behavior of India VIX and help traders understand when risk is underpriced or overstretched.
This tool is especially useful for:
Index traders
Options sellers and buyers
Risk management and regime filtering
Long-term volatility study
How It Works
The script plots static, historically significant volatility zones on the India VIX chart and visually separates them using shaded bands and labels.
Volatility Zones Explained
1.Extreme Low Volatility (VIX 8–10)
Indicates market complacency and underpriced risk. Often precedes volatility expansion.
2.Low Volatility (VIX 10–13)
Stable market conditions with controlled movement.
3.Normal Volatility (VIX 13–18)
Healthy market behavior and balanced risk.
4.High Volatility (VIX 18–25)
Rising uncertainty and increased intraday swings.
5.Panic Zone (VIX 25–35+)
High fear environment, usually during major events or crises.
How Traders Can Use This Indicator
Identify volatility regimes before choosing option strategies
Avoid aggressive short-volatility trades during extreme zones
Prepare for volatility expansion during low-VIX phases
Use as a market risk context tool alongside price action
This indicator does not provide buy/sell signals. It is designed for contextual analysis and decision support.
Best Usage
Apply on India VIX (NSE:INDIAVIX)
Works best on Weekly and Monthly timeframes
Can be combined with index charts for volatility-based risk assessment
Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice or trade recommendations.
Users should apply proper risk management and confirm signals using additional analysis.
Drawdown % + STD Bands: Log-Scale Macro ToolDrawdown % + STD Bands: Log-Scale Macro ToolDescription: The exact indicator big-macro accounts use: tracks real-time drawdown from the rolling 252-period peak, then plots -1σ (blue) and -2σ (orange) bands on a clean percent scale. Built for weekly charts-shows if a stock, index, or crypto is statistically cheap (hit -1σ) or generational-buy territory (-2σ). Works flawlessly on SPX, Nasdaq, Bitcoin, Gold, Tesla... anything. How to Use (read it aloud like a voice memo): 1. Slap this under any chart, set to weekly timeframe . 2. Flip the price pane to log scale -zero negotiations. 3. Watch the thick red line: • Hovering 0 %? Bullish noise, chill. • Kissing blue (-10 % to -25 %)? Start loading-happens every 1-2 years. • Touching orange (-30 %+)? Panic sale finished. Buy like rent money's burning a hole. 4. Zoom out five-ten years; monthly works too if you want lazy vibes. Daily? Trash-too twitchy. Pro tip: Name your watchlist Panic Plays, drop this in, and ping me when MELI or GOOGL hits orange. I'll confirm if it's actually stupid-cheap.
Watchlist Auto Buy/Sell AlertsTrial for the best. This indicator is built to assess the chart and make it easier for traders to identify coins that are available for trading and minimize losses.
MACD-v Bullish/Bearish DivergenceMACD-v Bullish/Bearish Divergence
Overview This indicator is a specialized divergence detector based on the MACD-v (Volatility Normalized Momentum) concept. Unlike standard MACD which uses absolute price differences, MACD-v normalizes values against volatility (ATR), allowing for fixed, universal Overbought/Oversold thresholds across all assets and timeframes.
Recommendation: This script is highly effective when paired with the original MACD-v by Alex Spiroglou. While this indicator focuses on identifying and visualizing divergence entries, using the original oscillator alongside it provides the best visual context for the overall momentum structure.
How It Works
This tool uses a dual-signal mechanism (Raw Line + Signal Smooth) to identify specific divergence setups:
Setup (Yellow/Blue Dots): Identifies when price momentum has extended significantly into extreme zones (Overbought/Oversold).
Trigger (Red/Green Dots): Fires when price fails to make a new momentum extreme despite price action (classic divergence/failure swing).
Active State (Background Color): Once a trigger fires, the background highlights (Red for Bearish, Green for Bullish) to indicate an active divergence play.
Reset (Exit): The signal state clears when momentum returns to the neutral "safe zone."
Important Note: Momentum Washout
The colored background persists as long as the divergence trade remains valid. Traders should note the concept of "Momentum Washout":
Signal End: The background color turns off when the MACD returns to the neutral range, indicating the primary high-velocity impulse is over.
Performance Continuation: Significant positive or negative price performance can often continue even after the background signal ends. This period allows the remaining momentum to "wash out" or drift before the next major impulse.
Strategy Tip: The indicator is designed to capture the high-volatility portion of the reversal. Do not assume the end of the signal is the absolute top or bottom of the trend; it simply marks the normalization of momentum.
Strategy Recommendation: Multi-Timeframe Analysis
Divergence signals are most powerful when confirmed across timeframes. It is highly recommended to look for alignment before taking a trade:
Trend Confirmation: If you see a signal on a lower timeframe (e.g., 5m or 15m), check a higher timeframe (e.g., 1H or 4H). A bullish divergence on the 5m is significantly more reliable if the 1H momentum is already bullish or oversold.
Signal Stacking: Valid signals often appear sequentially—first on the 1m, then the 5m, and finally the 15m. Waiting for this "cascade" can filter out false reversals.
Visual Guide
🔵 Blue Dot: Bullish Divergence Setup (Watch for entry).
🟢 Green Dot: Bullish Divergence Trigger (Long Entry).
🟡 Yellow Dot: Bearish Divergence Setup (Watch for entry).
🔴 Red Dot: Bearish Divergence Trigger (Short Entry).
Background Color: Indicates an active trade (Red = Bearish / Green = Bullish).
Settings
Auto-Detect: Automatically switches between Scalping settings (tighter thresholds) for low timeframes and Swing settings for high timeframes.
Strict Invalidation: If enabled, cancels a setup if momentum pushes too far in the opposite direction before triggering.
Active Signal Multiplier: Dynamically smooths the signal line only when a trade is active to prevent premature exits during choppy corrections.
Disclaimer: This tool is for educational purposes and trend analysis only. Always manage your risk appropriately.
ICT ORB Killzones by MaxN (15 / 30m)Trading session open/close with first 15/30 min orbs
will just have to adjust time zones to your current time line
GMT +0
I use
Asia 23.00 - 06.00
London 07.00 - 16.00
New York 12.00 - 22.00
Squeeze + ADX + TTM [V6]Execution speed: The TradingView engine processes v6 scripts much faster.
Stability: By using standard functions like ta.sma or ta.linreg, the indicator is less prone to calculation errors on lower timeframes.
Clarity: I've reorganized the ADX calculation within a function to make it more readable if you decide to modify it later.
S&D Trend Pullback StrategyThis is simple indicator for myself to alert me when in trend pullback and entry.
Use in M5 chart.
SL put 30-50pips
TP can set 30-90pips
Relative Volume Context [Alturoi]Relative Volume Context is an advanced volume analysis indicator designed to help traders understand whether current volume is truly unusual—or simply normal for that moment in time.
Unlike traditional volume or basic relative volume tools, this indicator models expected volume based on historical time-based behavior (minutes, hours, days, sessions) and compares it directly to what is happening now.
The result is clear, structured insight into:
Unusual participation
Abnormal activity
Quiet vs active market conditions
When volume confirms price —and when it doesn’t
This tool is built for day traders and swing traders who want volume context , not just volume bars.
📌 What Problem This Indicator Solves
Raw volume is deceptive.
High volume at the open, low volume at lunch, and rising volume into the close are normal market behaviors —yet most indicators treat them as equal.
Relative Volume Context fixes this by asking a better question:
“Is today’s volume high or low compared to what normally happens at this exact time?”
By conditioning volume expectations on time and session structure , the indicator filters out noise and highlights moments where participation genuinely deviates from the norm.
🧩 How Relative Volume Context Works (Conceptually)
At its core, the indicator compares:
Actual Volume
Expected Volume for this time bucket
A time bucket can include combinations such as:
Minute of the hour
Hour of the trading day
Day of the week or month
Broader calendar structure (months / quarters)
Expected volume is calculated using historical data for that same bucket , creating a fair, apples-to-apples comparison.
This produces several meaningful outputs:
Expected Volume: the typical volume level for the current time context.
Difference: actual minus expected.
Surprise (%): a normalized measure of how large the deviation is relative to expectation.
Z-Score (Mean mode): a statistical measure of how extreme current volume is compared to its historical distribution.
Sample Size & Confidence: transparency into how much historical data supports the expectation.
🧠 Built for Clarity and Performance
Efficient data handling for intraday charts
Adaptive period selection (Auto Selection)
Optional forecast of expected future volume
Clean HUD showing context, confidence, and interpretation
🛠 How to Use It (Best Practices)
Use it with price , not instead of price.
Treat high readings as context , not automatic signals.
Combine with structure, levels, and market conditions.
Pay attention to Confidence / N before trusting extreme readings.
Avoid over-interpreting early history with low sample sizes.
👥 Who This Indicator Is For
Day traders trading U.S. equities
Swing traders monitoring participation and follow-through
Traders who value context over hype
Users who want transparency, not black-box signals
Subscribe to Alturoi ’s private, invite-only indicators designed to support informed trading decisions.
Volume is most powerful when it explains why price is moving—not when it’s used in isolation.
📊 Understanding the HUD: What Each Metric Actually Means
The HUD is designed to answer one core question:
“Is this volume unusual in a way I should care about?”
Raw volume on its own is misleading. Each field in the HUD exists to remove a specific form of self‑deception and replace it with context you can reason about.
🧭 Bucket — Unusual compared to when?
Volume has a strong time structure. A spike at 9:31 AM means nothing unless it’s compared to other 9:31 AM bars — not lunch hours, not overnight, not Fridays.
The bucket defines the comparison group:
Same minute of the hour
Same hour of the day
Same day of the week, month, or quarter
Without this, expected volume becomes a global average — statistically wrong and operationally misleading.
⚙️ Method (Mean vs Percentile) — What kind of “normal” am I using?
Different methods answer different trading questions:
Mean: fast, stable, symmetric, and enables Z‑scores. Best when volume distributions are smooth.
Percentile: robust to outliers and news spikes. Answers how rare this volume is historically.
Mean measures deviation from equilibrium. Percentile measures rarity. If you don’t know the method, you can’t interpret the signal correctly.
🔢 N (Sample Size) — Is this statistic even trustworthy?
Statistics without sample size are vibes.
N = 12 → noise dressed as math
N = 200 → structure
Two identical surprise readings with different N values are not the same signal. This single number prevents false confidence.
📐 Confidence — How much weight should I give this?
Confidence is a human‑readable compression of N:
Low → exploratory only
Medium → usable with context
High → structurally reliable
This isn’t judgment — it’s statistical humility.
📊 Expected — Expected relative to what baseline?
Expected volume is the anchor of everything else.
Without seeing it:
You can’t tell whether surprise comes from a low or high base
You can’t sanity‑check the model
If Expected looks wrong, the signal is wrong — full stop.
⭐ Surprise (%) — How large is the deviation in practical terms?
Raw differences don’t scale. Surprise % normalizes across symbols, timeframes, and regimes.
A +80% surprise on SPY at 10:15 matters. A +5% surprise usually doesn’t. This is the actionability metric.
📐 Z‑Score — Is this statistically extreme or just mildly off?
Z‑score adds distribution context:
0.5σ → normal fluctuation
2σ → uncommon
3σ → rare, regime‑relevant
Two bars can share the same % surprise but have very different Z‑scores if volatility differs. Z tells you whether the market itself considers this bar “weird.”
The deeper point
Most volume indicators stop at: “Volume is high.”
Relative Volume Context forces the harder, more honest question:
“High compared to what, how rare, and how reliable is that comparison?”
That’s the difference between decorative indicators and decision‑support instruments .
🔍 Why This Matters for Day & Swing Traders
Relative Volume Context is not a signal generator . It is a decision-support tool .
Practical uses include:
Identifying unusual participation during breakouts or breakdowns
Distinguishing real interest from routine session volume
Avoiding false confidence in moves occurring on “normal” volume
Spotting regime shifts or news reactions (participation shocks)
Understanding when low volume truly signals lack of interest
Used correctly, it helps traders answer:
“Is this move being supported by abnormal activity, or is it just time-of-day noise?”
Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. Trading involves risk, and past market behavior does not guarantee future results. Always use proper risk management and independent judgment.
BTC - RVPM: Run Velocity & Probability MapBTC – RVPM: Run Velocity & Probability Map | RM
Strategic Context: Understanding Price Runs
A "Price Run" (also known as a streak or consecutive sessions) is a foundational concept in time-series analysis that measures the duration of a price movement without a significant counter-signal. While common indicators like RSI or MACD measure magnitude or momentum, they often ignore the Persistence of the trend. Historically, markets move through cycles of expansion and mean-reversion. A Price Run represents a period of "Unidirectional Flow" — a fingerprint of institutional accumulation or systematic distribution. However, standard "run-counting" is often too simplistic for the volatile crypto markets.
What Makes RVPM Special?
Most community run-counters are binary; they simply tell you if X days were green or red. The RVPM distinguishes itself through three proprietary layers:
• The Intensity Filter: It doesnt just count days; it counts effort . By ignoring "flat" days through a percentage-return threshold, it filters out noise that would otherwise skew the statistical probability.
• Dynamic Benchmarking: Instead of using an arbitrary number (like "7 days"), the RVPM looks back at 200 bars of history to find the local "Persistence Ceiling." It adapts to the current volatility regime of Bitcoin.
• The Velocity Score: It transform simple counts into a -100 to +100 histogram, allowing traders to see momentum "decaying" (e.g., dropping from 90 to 70) even if the price continues to rise.
The 3 Pillars of the Engine
1. Velocity Mapping (Persistence Histogram)
The histogram calculates the density of directional effort within a defined window. It functions as the "Pulse" of the trend, mapping market behavior into three distinct zones:
• High Velocity Zone (> 80 or < -80): Institutional Expansion. This identifies a "clean" move where one side of the market possesses total structural control. In this zone, the trend is efficient, and counter-signals are immediately absorbed.
• The Neutral Zone (Near Zero): Momentum Equilibrium. When the histogram fluctuates near the zero line, the market is in a "Recharge Phase." Neither bulls nor bears are achieving persistent dominance. Tactically, this is the "Waiting Room" where range-bound chop is likely, and traders should wait for a new "Expansion" spike before committing.
• Velocity Decay: The Exhaustion Warning. Velocity Decay occurs when the indicator moves from an extreme (e.g., +95) back toward the zero line (e.g., +50) while the price is still rising. This is a "Persistence Divergence." It tells you that while the trend is still moving, the consistency of the bars is fragmenting. The "fuel" is being depleted, and the trend is transitioning from an "Institutional Expansion" into a "Speculative Exhaustion."
2. n-of-m Consistency (The Pips)
The "Pips" (Circles) mark when a specific consistency threshold is met (e.g., 5 out of 7 bars in one direction). This identifies "Leaky Trends" that are still statistically dominated by one side of the ledger.
3. Statistical Exhaustion (The Arrows)
The Dark Red (Top) and Dark Green (Bottom) triangles represent the engine's "Mean-Reversion Signal." The calculation is based on a Relative Maximum Streak (RMS) logic: the script tracks the current linear, consecutive bar count (ignoring bars that fail the Intensity Filter) and continuously benchmarks this against the highest streak recorded over the last 200 bars ( ta.highest(streak, 200) ). The triangles are triggered specifically when the current run reaches 80% of this historical record (the "Anomaly Threshold"). Mathematically, this identifies a move that is statistically pushing against its half-year limit. By using this dynamic threshold rather than a fixed number, the "Extreme" signal automatically tightens during low-volatility regimes and expands during high-volatility expansions, ensuring the signal only appears when the "statistical rubber band" is at a true breaking point.
Operational Interface: The RVPM Dashboard
The Status Dashboard (Top Right) serves as a real-time monitor for momentum health, providing a clean summary of the underlying persistence data:
• Current STREAK: The active, consecutive count of bars meeting the Intensity Filter. It is dynamically color-coded (Cyan/Bullish or Red/Bearish) to provide an instant read on trend seniority.
• WINDOW Consistency: Measures the Momentum Density (the n-of-m value). A value of "6" in a "7-bar" window indicates a high-conviction regime that is successfully absorbing pullbacks without losing its primary trajectory.
Tactical Playbook: The Mean-Reversion Rule
Price action typically follows a "Rubber Band" effect. The further it is stretched without a break, the more "unstable" the trend becomes as the pool of available buyers or sellers is depleted.
• The Setup: Wait for the Triangle Arrows to appear.
• The Logic: The move has reached a 200-day anomaly. A "Liquidity Vacuum" is forming on the opposite side.
• The Action: This is a high-probability Mean-Reversion signal. It is a tactical time to take profits or look for a sharp snap-back move toward the 20-period moving average or the "Institutional Mean."
Settings & Parameters
• Window Length (m): The lookback window used to calculate the Velocity Score.
• Required Days (n): The minimum number of directional bars needed within the window to trigger a "Consistency Pip."
• Intensity Filter (%): The minimum % change required for a bar to be counted toward a run.
• Lookback Period: The historical window (Default: 200 bars) used to calculate the "Maximum Streak" records for exhaustion alerts.
Timeframe Recommendation
The RVPM is best viewed on the Daily (1D) timeframe. This filters out intraday noise and provides the most reliable statistical mapping for macro exhaustion points.
Credits & Verification
The RVPM logic aligns with institutional "Persistence" models and Glassnode's Price Stretch benchmarks. By benchmarking against a rolling 200-day window, the indicator automatically adapts to changing market volatility.
Risk Disclaimer & No Financial Advice
The information, data, and analytical models provided in this publication are for educational and informational purposes only. This script does not constitute financial, investment, or trading advice. Trading cryptocurrencies and other financial instruments carries a high degree of risk, and statistical anomalies or "Extreme Runs" do not guarantee future price action. Past performance is never indicative of future results. Every trader is responsible for their own due diligence and risk management. Rob Maths and the associated entities are not liable for any financial losses incurred through the use of this tool. Always consult with a certified financial professional before making significant investment decisions.
Tags:
bitcoin, btc, persistence, streaks, price-runs, momentum, mean-reversion, exhaustion, Rob Maths
Smart Money Zones - CleanA comprehensive smart money concepts indicator that identifies institutional trading zones and provides multi-timeframe trend analysis.
KEY FEATURES:
- Fair Value Gaps (FVG) - Detects bullish and bearish imbalance zones
- Order Blocks (OB) - Identifies institutional support/resistance areas
- Multi-Timeframe Panel - Shows trend direction across 7 timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D)
- Zone Strength Classification - Rates zones as Very Strong, Strong, Medium, or Weak
- Automatic Mitigation Tracking - Monitors when zones get filled
CUSTOMIZABLE SETTINGS:
- Toggle FVG and Order Block display
- Adjustable zone limits and detection sensitivity
- Optional trend filter using moving average
- Customizable panel position and size
- Choose to remove or fade mitigated zones
IDEAL FOR:
- Scalpers and day traders
- Smart money concept traders
- Multi-timeframe analysis
- Identifying high-probability entry zones
The indicator helps traders align with institutional order flow by marking key price levels where smart money has left imbalances or made significant moves.
Color-coded zones make it easy to spot bullish (green/blue) and bearish (red/orange) areas at a glance. The multi-timeframe panel ensures you're trading in alignment with higher timeframe trends.
V-Max: Tactical Opening Range & Session Monitor🛡️ 【V-Max】Tactical Opening Range & Session Monitor
Overview The V-Max Tactical Session Monitor is a high-precision utility designed to capture and project the critical opening range of any market session (e.g., US Market Open). By defining the high, low, and equilibrium (mid) points of the initial volatility, traders can establish a tactical framework for the remainder of the trading day.
Technical Methodology & Logic This script employs a robust cross-day physical coordinate engine:
Opening Range Capture: Dynamically calculates the high, low, and midpoint (50% level) during a user-defined interval (e.g., the first 15 minutes of the US open).
Physical Coordinate Locking: Utilizes the box.new and line.new objects to render a visual "Tactical Box." The right boundary of the box is extended in real-time until the specified session_stop time, ensuring the range remains relevant throughout the session.
Precision Engine: Features a dedicated precision handler that automatically adjusts the price label formatting based on syminfo.mintick (detecting whether an asset requires 2 or 5 decimal places) to ensure visual clarity across all asset classes.
Day-of-Week Validation: Includes logic to exclude weekends, focusing strictly on active market weekdays for data integrity.
How to Use
Time Settings: Input the start and end of the opening range you wish to capture (Defaulted to GMT+8 for US Open).
Session Stop: Define the time when the projection should cease extending.
Execution: Use the High/Low levels as breakout boundaries and the Mid-line as a pivot for trend strength.
產品概述 V-Max 時效監控 Pro 是一款高精度的開盤區間捕捉工具。透過定義開盤初期(如美股開盤前 15 分鐘)的高點、低點與中軸平衡點,為交易者建立全天的戰術框架。
技術邏輯與功能 本腳本採用穩定的物理座標引擎:
開盤區間捕捉:在自定義的時間區間內,自動鎖定最高價、最低價與 50% 中軸價位。
物理座標鎖定:利用 box.new(區間盒)與 line.new(趨勢線)物件進行視覺化呈現。區間將實時延伸至設定的停止時間,確保戰術參考線在整個交易時段內有效。
精度處理引擎:自動根據標的物(如美股或加密貨幣)的最小跳動單位調整標籤顯示,確保價格資訊的清晰度。
跨日物理判定:內建工作日過濾邏輯,確保僅在市場交易日內啟動捕捉。
This is a free tactical utility from the V-Max strategic suite.
Premium Indicators: For L1-L3 professional trend navigation and momentum systems, please contact our authorized assistant: @VMax_Helper_bot.
Disclaimer: For technical analysis purposes only. Past performance does not guarantee future results.
Trend Regime Bands (EMA 50 / 150 / 200)📘 Trend Regime Bands – EMA 50·150·200
Overview
Trend Regime Bands is a visual trend-context indicator designed to help users quickly understand whether the market is in a bullish or bearish regime. The indicator uses the alignment of EMA 50, EMA 150, and EMA 200 to determine overall trend direction, while additional EMAs are used only to create color-based bands for visual context. No buy or sell signals are generated.
How Trend Direction Is Determined
Trend direction is derived exclusively from the relative positioning of: EMA 50 (short-term trend) , EMA 150 (medium-term trend) , EMA 200 (long-term trend) . Bullish regime: EMA 50 ≥ EMA 150 ≥ EMA 200 . Bearish regime: EMA 50 < EMA 150 < EMA 200. These three EMAs act as the decision framework for the indicator.
What the Color Bands Represent : The indicator displays two visual bands on the chart:
Fast Band (Momentum Context) - Built using faster EMAs, Represents short-term momentum and pullback behavior. Brighter color intensity reflects stronger momentum
Slow Band (Regime Context) - Built using slower EMAs. Represents broader trend structure and regime stability.Deeper color intensity reflects stronger trend alignment
The color of both bands follows the trend direction determined by EMA 50/150/200:
Green shades indicate a bullish regime. Red shades indicate a bearish regime. Color intensity increases or decreases smoothly based on trend strength.
How to Use This Indicator
Use the bands to understand market context, not as entry or exit signals. Strong, bright bands suggest a well-established trend. Lighter bands indicate weaker or transitioning trends. The indicator works across intraday, swing, and higher timeframes. This tool is best used alongside price action, support/resistance, or other confirmation methods.
Important Notes
This indicator does not provide buy or sell signals. It does not predict future price movement. It is intended solely as a visual trend-regime and context tool
Summary
Trend Regime Bands offers a clean, distraction-free way to visualize bullish and bearish market regimes using EMA structure and color intensity, helping traders maintain directional awareness and discipline.
Swing Stockpicking Dashboard//@version=5
indicator("Swing Stockpicking Dashboard (Mansfield RS + Trend Template)", overlay=true, max_labels_count=500)
// ---------- Inputs ----------
bench = input.symbol("SPY", "Benchmark (para RS)")
rsLen = input.int(252, "52w lookback (barras)", minval=20)
rsMaLen = input.int(252, "RS base MA (barras)", minval=20)
ma50Len = input.int(50, "SMA rápida", minval=1)
ma150Len = input.int(150, "SMA media", minval=1)
ma200Len = input.int(200, "SMA lenta", minval=1)
slopeLookback = input.int(22, "Pendiente MA200 (barras)", minval=1)
scoreThreshold = input.int(5, "Umbral score (0–7)", minval=0, maxval=7)
showMAs = input.bool(true, "Dibujar medias")
showTable = input.bool(true, "Mostrar tabla dashboard")
// ---------- Benchmark & Mansfield RS ----------
benchClose = request.security(bench, timeframe.period, close)
ratio = (benchClose > 0) ? (close / benchClose) : na
rsBase = ta.sma(ratio, rsMaLen)
mansfield = (rsBase != 0 and not na(rsBase)) ? ((ratio / rsBase - 1) * 100) : na
// ---------- Price MAs ----------
ma50 = ta.sma(close, ma50Len)
ma150 = ta.sma(close, ma150Len)
ma200 = ta.sma(close, ma200Len)
// ---------- 52w High/Low ----------
hi52 = ta.highest(high, rsLen)
lo52 = ta.lowest(low, rsLen)
// ---------- Minervini-style checks ----------
c1 = close > ma150 and close > ma200
c2 = ma150 > ma200
c3 = ma200 > ma200 // MA200 subiendo vs hace ~1 mes (en D)
c4 = ma50 > ma150 and ma50 > ma200
c5 = close >= lo52 * 1.25 // ≥ +25% desde mínimo 52w
c6 = close >= hi52 * 0.75 // dentro del 25% de máximos 52w
c7 = (mansfield > 0) and (mansfield > mansfield ) // RS > 0 y mejorando
score = (c1 ? 1 : 0) + (c2 ? 1 : 0) + (c3 ? 1 : 0) + (c4 ? 1 : 0) + (c5 ? 1 : 0) + (c6 ? 1 : 0) + (c7 ? 1 : 0)
qualified = score >= scoreThreshold
// ---------- Plots ----------
if showMAs
plot(ma50, "SMA 50", linewidth=1)
plot(ma150, "SMA 150", linewidth=1)
plot(ma200, "SMA 200", linewidth=2)
plotshape(qualified, title="PICK", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="PICK")
// ---------- Dashboard table ----------
var table t = table.new(position.top_right, 2, 9, frame_width=1)
f_row(_r, _name, _ok) =>
table.cell(t, 0, _r, _name)
table.cell(t, 1, _r, _ok ? "OK" : "—")
if showTable and barstate.islast
table.cell(t, 0, 0, "Check")
table.cell(t, 1, 0, "Pass")
f_row(1, "Price > SMA150 & SMA200", c1)
f_row(2, "SMA150 > SMA200", c2)
f_row(3, "SMA200 rising (" + str.tostring(slopeLookback) + ")", c3)
f_row(4, "SMA50 > SMA150 & SMA200", c4)
f_row(5, "≥ +25% from 52w low", c5)
f_row(6, "Within 25% of 52w high", c6)
f_row(7, "Mansfield RS > 0 & rising", c7)
table.cell(t, 0, 8, "Score")
table.cell(t, 1, 8, str.tostring(score) + "/7")
// ---------- Alerts ----------
alertcondition(qualified, "Qualified stock (PICK)", "El activo supera el score mínimo para stock-picking swing.")
Keltner Channel MTF with VWAP [MK]This strategy is designed for momentum and trend-following traders who prioritize high-volatility "breakout" environments. By anchoring a 15-minute volatility boundary against a lower-timeframe channel, it identifies rare moments where price action aggressively decouples from standard volatility ranges.
Strategy Overview: Keltner Channel MTF with VWAP
The Keltner Channel MTF with VWAP is a quantitative momentum strategy that uses Multi-Timeframe (MTF) volatility displacement to trigger trades. It focuses on "full channel breakouts," where the entire short-term price range (Current Timeframe Keltner Channel) shifts completely outside the medium-term volatility range (15-Minute Keltner Channel).
Quantum Power Engine v4.1 Light ModeThis guide explains how to effectively use the Quantum Power Engine v4.1 (Light Mode). This indicator is a multi-factor scoring system designed to aggregate momentum, volume, and trend data into a single, actionable "Power Score."
1. The Core Scoring System
The indicator calculates a Power Score ranging from -100 to +100. This score is derived from five weighted technical dimensions:
| Factor | Weight | Condition |
|---|---|---|
| MACD | 30% | Based on histogram direction and slope. |
| Volume/VWAP | 25% | Checks if price is above VWAP with high volume (Relative Vol > 2.0). |
| RSI | 15% | Relative strength compared to its SMA and the 60/40 levels. |
| CMF | 15% | Measures institutional capital inflow (Chaikin Money Flow). |
| SuperTrend | 15% | Defines the overall structural market direction. |
2. Market Status & Strategy
Depending on the current Power Score, the dashboard will display one of seven market states. Use the following guide for your trade execution:
🟢 Bullish Zones (Positive Score)
* +75 to +100: Hyper-Bullish (☀️)
* Market Sentiment: Extreme Greed / Buying Climax.
* Strategy: Hold current positions; tighten Stop-Losses; do not short, but be wary of a "blow-off top."
* +45 to +75: Strong Up-trend (🚀)
* Market Sentiment: Optimistic / Main Momentum Wave.
* Strategy: This is the most profitable phase. Focus on trend-following and adding to winners.
* +15 to +45: Momentum Entry (🟢)
* Market Sentiment: Recovery / Capital Inflow.
* Strategy: Look for long entries (Right-side trading). Monitor if volume continues to expand.
🟡 Neutral Zone
* -15 to +15: Extreme Volatility (⚡)
* Market Sentiment: Indecision / Market Chop.
* Strategy: Wait and See. Avoid trading in this zone as "fakeouts" are common.
🔴 Bearish Zones (Negative Score)
* -15 to -45: Defensive Phase (🔴)
* Market Sentiment: Cautious / Selling Pressure.
* Strategy: Reduce long positions. Do not "buy the dip" yet.
* -45 to -75: Violent Sell-off (🩸)
* Market Sentiment: Panic / Breakdown.
* Strategy: Avoid catching falling knives. Stay in cash or look for short opportunities.
* -75 to -100: Total Breakdown (💀)
* Market Sentiment: Despair / Liquidity Exhaustion.
* Strategy: Maximum bearishness. Wait for a "Right-side" bottoming signal before looking for a reversal.
3. Key Visual Indicators
The Dashboard (Top Right)
* Power Score (战力值): The "temperature" of the market.
* MACD Momentum: Shows if the trend is accelerating (Enhancing) or losing steam (Fading).
* Volume Ratio: Compares current volume to the average.
* Purple (Hyper-Volume): Institutional activity.
* Yellow (Significant): Strong participation.
* Grey (Low): Danger of a trap or lack of interest.
The Squeeze Alert (⚡)
When you see a Gold Bolt (⚡) above a candle, it indicates a "Squeeze" signal:
* Meaning: Low volatility + Low volume + Neutral score.
* Action: The market is "coiling" like a spring. Expect a violent breakout (up or down) shortly. Prepare your triggers.
4. How to Trade with This Indicator
* Identify the Bias: Look at the Dashboard. If the score is > 45, look for Longs. If < -45, look for Shorts.
* Confirm with Volume: Ensure the "Volume Ratio" is at least > 1.2x (Green or Yellow) before entering a trend trade.
* The Exit: If you are in a long trade (Score > 45) and the score drops below +15 or the MACD Momentum changes to "Fading" (⚪), consider taking profits.
* The "Squeeze" Play: If you see the ⚡ icon, wait for the first candle to break the range with a rising Power Score to catch the start of a new move.






















