buy by rev//@version=5
indicator("HTF EMA Crossover → LTF Entry Alert", overlay=true)
// ───── TIMEFRAMES ─────
htf = "60" // 1 Hour
ltf = "5" // 5 Minute (apply script on this)
// ───── HTF EMAs ─────
htfEma5 = request.security(syminfo.tickerid, htf, ta.ema(close, 5))
htfEma13 = request.security(syminfo.tickerid, htf, ta.ema(close, 13))
// ───── LTF EMAs ─────
ema5 = ta.ema(close, 5)
ema13 = ta.ema(close, 13)
// ───── CONDITIONS ─────
// Hourly bullish crossover STATE
htfBullishState = htfEma5 > htfEma13
// 5-min EMA crossover
ltfCross = ta.crossover(ema5, ema13)
// 5-min EMA 5 reclaim / continuation
ltfResume = ema5 > ema13 and ema5 <= ema13
// FINAL ENTRY CONDITION
entrySignal = htfBullishState and (ltfCross or ltfResume)
// ───── PLOTS ─────
plot(ema5, color=color.green, title="EMA 5")
plot(ema13, color=color.orange, title="EMA 13")
plotshape(
entrySignal,
title="BUY Entry",
style=shape.labelup,
location=location.belowbar,
color=color.green,
text="BUY",
textcolor=color.white,
size=size.small
)
// ───── ALERT ─────
alertcondition(
entrySignal,
title="HTF EMA Bullish → LTF Entry Alert",
message="1H EMA 5>13 bullish state + 5min EMA entry trigger"
)
Băng tần và kênh
Canal porcentual EMA 26 (Elder) + EMA 13This indicator is based on Alexander Elder’s swing trading framework and is designed to define value, overextension, and timing within an established trend.
The core of the indicator is the 26-period Exponential Moving Average (EMA 26), which represents the **value zone**. Around this EMA, a **percentage-based symmetrical channel** is plotted. The upper band is calculated as EMA 26 plus a fixed percentage of the EMA, and the lower band as EMA 26 minus the same percentage. This creates overbought and oversold zones relative to value, independent of volatility.
In Elder’s methodology, this channel is not a standalone signal generator. Its purpose is to provide **context**:
* The upper channel marks areas of **overvaluation**.
* The lower channel marks areas of **undervaluation**.
* The EMA 26 itself represents the zone where profits are typically taken.
The 13-period EMA (EMA 13) is added as a **timing tool**, not as a trend filter. While EMA 26 defines value and trend structure, EMA 13 helps identify short-term momentum shifts that can be used to time entries and exits.
Typical usage according to Elder:
* In an uptrend (EMA 26 rising), long trades are considered when price pulls back toward the lower channel and short-term momentum stabilizes or turns up.
* In a downtrend (EMA 26 falling), short trades are considered when price rallies toward the upper channel and momentum weakens.
* Profits are usually taken near the EMA 26, the value zone, rather than at the opposite channel.
This indicator is intended for **swing trading**, not for breakout trading or mechanical “touch-and-trade” entries. The channel defines where trades should be looked for, while additional tools (trend analysis, momentum indicators, and risk management) are required to complete the trading decision.
Used correctly, this script helps traders avoid chasing price, focus on high-probability pullbacks, and consistently trade from overextension back to value within the prevailing trend.
Market Regime: Squeeze Box + Trend DashboardMarket Regime: Squeeze Box + Trend Dashboard
Market Regime is a overlay designed to provide instant market context (trend vs consolidation) and highlight volatility compression (squeeze) setups before potential breakouts. Built with stock charts in mind, it focuses on clean visuals and practical decision support.
What this indicator shows:
1) Market Regime (TREND / RANGE / NEUTRAL)
The regime is detected using DMI/ADX with built-in confirmation to reduce flicker:
TREND : ADX stays above a threshold for N bars
RANGE : ADX stays below a threshold for N bars
NEUTRAL : neither trend nor range is confirmed
Trend direction is derived from DI+ vs DI- (UP / DOWN / MIXED).
2) Squeeze (BB inside KC)
A squeeze is detected when Bollinger Bands contract inside Keltner Channels (volatility compression).
SQZ = squeeze start
REL = squeeze release (the first bar *after* squeeze — technically correct)
3) Squeeze Box
The core feature: a box drawn from SQZ → REL , dynamically tracking the highest high / lowest low during the squeeze. This creates a clean visual range for the compression zone and helps frame breakout context.
4) EMA Ribbon with ADX-based intensity
Two EMAs (fast/slow) form a ribbon. The fill becomes more pronounced as ADX strength increases, making trend momentum easier to read at a glance.
5) Trend Dashboard (corner panel)
A compact dashboard summarizing key metrics:
REGIME, DIR, ADX (with normalized strength %)
SQUEEZE ON/OFF
Relative Volume (relVol + tier)
ATR% (14), EMA Slope%, GAP% (Open vs previous Close)
Customization / Settings
Fully configurable for different styles and markets:
ADX/DMI lengths and thresholds
BB/KC parameters (lengths and multipliers)
Relative Volume thresholds
Background mode: Off / Squeeze only / All regimes
Visual toggles: ribbon, squeeze box, markers, dashboard
History controls and limits for boxes/labels (clean chart + performance)
How to use (practical workflow)
Trend context : read REGIME + DIR and ribbon intensity (ADX strength).
Squeeze setup : when squeeze is active, the box defines the compression range (high/low).
Release : REL marks the first bar after squeeze ends (potential breakout/expansion context).
Notes
No look-ahead logic is used; calculations rely on current and historical bars only.
On realtime (still-forming) candles, values can change intrabar, normal behavior for indicators computed on the current bar.
Trading Disclaimer:
This indicator is provided for research and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use at your own risk. You are solely responsible for any trading decisions made using this script.
OFM - ONE Trade Per Day MAXthis is helper to clarify the market trend and supply and demand zones to work with enjoy!
Vishall - Spot - HA for Normal & FutureVishall - Spot - HA for Normal & Future
Vishall - Spot - HA for Normal & Future
Vishall - Spot - HA for Normal & Future
GSS V2 : Ultra Scalping [DoNotFollowMeGod] User Manual: GSS V2 Ultra Scalping No Repaint!
Perfect For:
Hardcore Scalpers (Ultra Short Term).
Traders who focus on quick entries & exits and high-frequency trading .
Mandatory Market Conditions:
✅ Low Volume Only: Best used during low activity periods or slow markets.
✅ Out-Session: Trade during market rests or session overlaps (avoid high-volatility session opens).
✅ Clear Sideway: The market must be ranging clearly , not aggressively making New Highs/New Lows.
❌ AVOID: High-impact news events (Red Folder) or strong trend breakouts .
Recommended Settings:
Timeframe: M1 / M3 / M5
Band Width (ATR): Adjust the setting to 3.0 - 5.0
(This widens the channel to ensure you only enter when the price is significantly overextended ).
Trade Execution Plan:
Entry: Enter only when a Signal Arrow appears AND the price touches the Band Edge (ATR 3-5).
TP 1 (First Target): "The Grey Dashed Line (Mid Band)"
Golden Rule: Once the price hits TP1, you must either take partial profits or move SL to Break Even (BE) immediately! Never let a winning trade turn into a loss.
TP 2 (Final Target): "The Dotted Line (Outer Band)"
Let the trade run ( Dynamic ) until it reaches the opposite band.
💡 Pro Tip: Since the TP lines are dynamic (moving in real-time with the price action), you should monitor the live price. If you are satisfied with the profit, "Bag it!" — don't wait for the perfect touch if the momentum is fading.
Petit Bollinger BandsAdded additional spread to the original Bollinger Bands to catch extreme price action. Bollinger Bands with 0.25, 2 and 3 sigmas
ICT Killzones & Pivots [TFO] + VWAP (NY Anchor)Made this for me, Enjoy it if it works for you ICT killzones + Vwap entry model from new york open with alerts
VWAP MTF 5-BandVWAP MTF Suite
Overview
The MTF Institutional VWAP Suite is a high-performance, multi-timeframe analysis tool designed for professional traders who require precise structural anchors. Built on the latest Pine Script v6 engine, this indicator allows for the simultaneous tracking of up to five independent VWAPs, each with its own volatility bands and customizable reset logic.
Unlike standard VWAP indicators that are limited to daily sessions, this suite provides institutional "magnets" across multiple horizons, allowing you to visualize where high-volume participants are positioned on a Daily, Weekly, Monthly, or Intraday basis.
Key Features
5 Independent VWAP Engines: Run up to five unique VWAPs concurrently without chart lag.
Multi-Timeframe Anchoring: Choose from hard-coded institutional pivots: Month, Week, Day, 12-Hour, 4-Hour, and 1-Hour.
Institutional Volatility Bands: Each VWAP includes an optional 1-Standard Deviation band calculated using cumulative variance logic for maximum precision.
Advanced UI Controls: Granular toggles for each instance allow you to display only the center line, only the bands, or the full shaded "value area" for any specific timeframe.
Modern Pine v6 Architecture: Utilizes the latest 2026 Pine Script optimizations, including method chaining and global-scope plot execution for a bug-free experience.
How to Use
Identify Value Clusters: When multiple VWAPs (e.g., Daily and Weekly) converge at a single price point, it creates a high-probability "Institutional Pivot" zone.
Mean Reversion: Use the 1-Standard Deviation bands to identify overextended price action. Institutional algorithms often mean-revert toward the VWAP when price reaches the exterior bands in a low-volatility environment.
Trend Confirmation: Use the slope and position of the 4-Hour or Daily VWAP to determine intraday bias. Trading above a rising VWAP confirms a "Long Gamma" or bullish trend.
Settings
Anchor Selection: Defines the starting point of the volume-weighted calculation.
Bands & Fill Toggles: Quickly clean up your chart by hiding the volatility bands or the background shading for specific timeframes.
Visual Customization: Full control over center line colors, global band colors, and label offsets to prevent text overlap on the right-hand scale.
Developer Notes
This script was optimized for the 2026 TradingView environment. It uses a custom variance-tracking function rather than the basic built-in ta.vwap to ensure that standard deviation bands remain mathematically accurate even when crossing multiple sessions or weekend gaps.
ATR Supertrend [QuantAlgo]🟢 Overview
The ATR Supertrend indicator identifies trend direction and reversal points using volatility-adjusted dynamic support and resistance levels. It combines Average True Range (ATR) volatility measurement with adaptive price bands and EMA smoothing to create trailing stop levels that automatically adjust to market conditions, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volatility-adaptive band system, where dynamic support and resistance levels are calculated based on market volatility and price movement:
smoothedSource = ta.ema(source, smoothingPeriod)
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
The script uses ATR-based bands that expand and contract with market volatility, ensuring the indicator adapts to different market conditions rather than using fixed price distances:
if trend == 1
supertrend := math.max(supertrend, smoothedSource - atr)
else
supertrend := math.min(supertrend, smoothedSource + atr)
First, it applies optional EMA smoothing to the price source to reduce noise and filter out minor price fluctuations that could trigger premature trend changes, allowing traders to focus on genuine momentum shifts.
Then, the ATR calculation measures market volatility using the Average True Range over the specified lookback period, multiplied by the user-defined factor to set the band distance:
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether price is in an uptrend or downtrend, automatically adjusting the Supertrend line position:
if trend == 1
if smoothedSource < supertrend
trend := -1
supertrend := smoothedSource + atr
The Supertrend line can act as a trailing stop that follows price during trends but never moves against the trend direction, i.e., it ratchets upward with price in uptrends and ratchets downward with price in downtrends.
Finally, trend reversal signals are generated when price crosses the Supertrend line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines dynamic support/resistance levels with momentum confirmation, providing traders with clear directional signals and automatic stop-loss levels that adjust to changing market conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): Price trading above Supertrend line with indicator showing bullish color, indicating established upward momentum = Long/Buy opportunities
▶ Bearish Trend (Red): Price trading below Supertrend line with indicator showing bearish color, indicating established downward momentum = Short/Sell opportunities
▶ Supertrend Line as Dynamic Support: In uptrends, the Supertrend line can act as trailing support level that rises with price, never declining = Use as potential stop-loss reference for long positions = Price holding above indicates trend strength
▶ Supertrend Line as Dynamic Resistance: In downtrends, the Supertrend line can act as trailing resistance level that falls with price, never rising = Use as potential stop-loss reference for short positions = Price holding below indicates trend weakness
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches. "Default" provides balanced trend detection for swing trading on daily/4-hour charts with moderate sensitivity. "Fast Response" delivers quick trend change detection for intraday trading on 5-minute to 1-hour charts, capturing moves early with increased whipsaw potential. "Smooth Trend" focuses on strong sustained trends for position trading on daily/weekly timeframes, filtering noise to identify only major trend shifts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and momentum shifts. "Bullish Trend" triggers when price crosses above the Supertrend line and the trend state changes from bearish to bullish, signaling potential long entry opportunities. "Bearish Trend" activates when price crosses below the Supertrend line and the trend state changes from bullish to bearish, signaling potential short entry or long exit points. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the Supertrend line and price, with higher opacity values creating subtle background context while lower values produce bold trend zone emphasis. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves, providing immediate visual reinforcement of current trend direction without requiring reference to the Supertrend line, with transparency controls allowing users to maintain visibility of candlestick patterns while still showing trend context.
Double BB Touch Alert캔들이 기본 볼린저밴드(20,2,종가)와 사용자밴드(4,4,시가)를 동시에 닿았을 때 알람 발생시키는 스크립트
"A script that triggers an alert when the candle simultaneously touches both the default Bollinger Bands (20, 2, close) and a custom band (4, 4, open)."
PDH & PDL - Previous Day LevelsPDH & PDL – Previous Day High and Low
This indicator automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) on intraday charts.
These key levels are widely used by traders as important support and resistance zones, helping to identify potential areas for price reactions, breakouts, or liquidity grabs.
Features
Automatically detects the previous trading day’s high and low
Draws clear horizontal levels across the current session
Labels the levels as PDH and PDL
Updates in real time at the start of each new trading day
Designed for intraday timeframes
How to Use
Use PDH as a potential resistance level
Use PDL as a potential support level
Watch for breakouts, rejections, or retests around these levels
Combine with price action, volume, or session-based strategies
Best For
Day trading
Scalping
Forex, indices, crypto, and futures
Traders who use market structure and key levels
This indicator keeps your chart clean while highlighting two of the most important reference levels from the previous trading day.
Multi-Timeframe RSI (Daily + Weekly)View the Daily and Weekly RSI together so you see how the oscillate on any timeframe
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
---
Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
---
The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
---
What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
---
Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
---
Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
---
Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
---
How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
---
Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
---
## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
---
MRG VWAP CompleteMRG VWAP Complete - Indicator Description
📊 Overview
MRG VWAP Complete is a professional all-in-one VWAP indicator that combines two powerful volume-weighted average price tools into a single, highly customizable solution. This indicator provides traders with both anchored VWAP with deviation bands and a weekly VWAP that resets every Sunday, offering comprehensive price analysis across multiple timeframes.
🎯 Key Features
Dual VWAP System
Standard VWAP: Highly configurable with multiple anchor periods and deviation bands
Weekly VWAP: Automatically resets every Sunday for swing trading strategies
Option to display both simultaneously or independently
Standard VWAP Capabilities
Multiple Anchor Periods:
Session (Daily)
Week / Month / Quarter / Year
Decade / Century
Corporate Events: Earnings / Dividends / Splits
Customizable Parameters:
Source selection (HLC3, Close, Open, etc.)
Hide on 1D timeframes and above
Offset adjustment
Custom color and line thickness (1-5)
Advanced Deviation Bands System
Three Independent Band Levels:
Each band can be enabled/disabled individually
Customizable multipliers for each level
Independent color selection for each band
Optional fill toggle for each band
Two Calculation Modes:
Standard Deviation: Traditional statistical approach
Percentage: Distance calculated as percentage of VWAP value
Visual Customization:
✅ Enable/disable band fills independently
🎨 Choose any color for each band
📏 Transparent fills (95% opacity) for clear price action visibility
🎯 Clean chart display with only desired elements
Weekly VWAP Features
Resets automatically every Sunday
Customizable source input
Independent color and line width settings
Perfect for identifying weekly trends and key levels
⚙️ Complete Parameter List
Display Options
Show/Hide Standard VWAP
Show/Hide Weekly VWAP
Standard VWAP Settings
Anchor Period selection
Source selection
Hide on 1D or above option
Offset value
VWAP color
VWAP line width (1-5)
Bands Settings
Calculation mode (Standard Deviation / Percentage)
Band #1: Enable, Multiplier, Color, Fill toggle
Band #2: Enable, Multiplier, Color, Fill toggle
Band #3: Enable, Multiplier, Color, Fill toggle
Weekly VWAP Settings
Weekly VWAP color
Weekly VWAP line width (1-5)
Source selection
📈 Strategic Applications
Mean Reversion Trading
Use deviation bands to identify overbought/oversold conditions
Enter trades when price reaches outer bands
Target VWAP for exits
Trend Confirmation
Price above VWAP = Bullish bias
Price below VWAP = Bearish bias
Weekly VWAP confirms longer-term trend direction
Support & Resistance
VWAP acts as dynamic support/resistance
Deviation bands provide multiple levels for entries/exits
Weekly VWAP identifies major swing levels
Multi-Timeframe Analysis
Combine Standard VWAP (intraday) with Weekly VWAP (swing)
Identify confluence zones where both VWAPs align
Spot divergences between short-term and weekly trends
Breakout Trading
Monitor price action around VWAP levels
Trade breakouts through deviation bands
Weekly VWAP breaks signal strong momentum
💡 Advantages
✨ All-in-One Solution: No need for multiple VWAP indicators
⏱️ Time-Saving: Pre-configured with professional settings
🎯 Precision: Multiple anchor periods for different trading styles
🎨 Fully Customizable: Every visual element can be adjusted
📊 Clean Charts: Toggle fills on/off for optimal visualization
🔄 Automatic Updates: Both VWAPs update in real-time
📱 Universal: Works on all timeframes and instruments
🎓 Ideal For
Trading Styles
Day Trading (M1, M5, M15)
Swing Trading (H1, H4, D1)
Scalping strategies
Position trading
Markets
Forex (XAUUSD, EUR/USD, GBP/USD, etc.)
Indices (US30, NAS100, SPX500)
Cryptocurrencies
Commodities
Stocks
Strategies
VWAP mean reversion
Trend following
Breakout trading
Volume-weighted support/resistance
Institutional order flow analysis
🔧 Recommended Settings
For Day Trading (M5-M15)
Standard VWAP: Anchor = Session
Band #1: Multiplier 1.0, Fill ON
Band #2: Multiplier 2.0, Fill OFF
Weekly VWAP: Enabled for major levels
For Swing Trading (H1-H4)
Standard VWAP: Anchor = Week
Band #1: Multiplier 1.5, Fill ON
Band #2: Multiplier 2.5, Fill ON
Weekly VWAP: Primary level for trend confirmation
For Scalping (M1-M5)
Standard VWAP: Anchor = Session
Band #1: Multiplier 0.5, Fill ON
Band #2: Multiplier 1.0, Fill OFF
Weekly VWAP: Disabled for cleaner chart
📊 Understanding the Bands
Band Multiplier = 1.0
Contains ~68% of price action (1 standard deviation)
Primary mean reversion zone
Band Multiplier = 2.0
Contains ~95% of price action (2 standard deviations)
Strong overbought/oversold signal
Band Multiplier = 3.0
Contains ~99.7% of price action (3 standard deviations)
Extreme reversal zones
🎯 Trading Tips
Confluence Trading: Enter when price touches a deviation band AND Weekly VWAP
Trend Confirmation: Only take long trades above both VWAPs, shorts below both
Band Rejection: Watch for candle rejections at outer bands for reversal signals
Volume Confirmation: Strong moves should break bands with high volume
Time of Day: VWAP is most reliable during high-volume sessions
📌 Important Notes
VWAP resets based on anchor period selection
Weekly VWAP uses Sunday as the start of the week
Deviation bands require sufficient volume data
Best used in combination with other technical analysis tools
Not a standalone trading system - use proper risk management
🚀 Why Choose MRG VWAP Complete?
✅ Professional Grade: Used by institutional traders
✅ Maximum Flexibility: Adapt to any trading style
✅ Visual Clarity: Customizable colors and fills
✅ Dual Perspective: Intraday + weekly analysis combined
✅ Easy to Use: Intuitive parameter organization
✅ Performance Optimized: Efficient code for smooth charting
Master volume-weighted price analysis with the most complete VWAP indicator available! 📊🚀
💼 Perfect For Professional Traders
Whether you're a retail trader or institutional analyst, MRG VWAP Complete provides the tools you need to:
Identify fair value zones
Spot institutional order flow
Time entries with precision
Manage risk effectively
Trade with the smart money
Elevate your VWAP trading to the next level! 💎
ETH Staking Rate - weighted average of WSTETH, CBETH, RETHThis indicator uses the redemption rate of WSTETH, CBETH, RETH from Pyth and the market cap of each from Cryptocap to calculate a weighted average ETH staking rate.
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface.
Key Modular Features:
Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias.
Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances).
Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker.
Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator.
Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals.
Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed.
Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
Sebastine All in One Indicator Sebastine All in One Indicator
Introduction
Markets speak in many dialects.
Sometimes they whisper through volume, sometimes they shout via momentum, at times they breathe through volatility, and occasionally they leave footprints in OBV, PVT, RSI, or TSI.
Most traders respond by stacking indicator after indicator—until the chart resembles a tangled fishing net.
This indicator was built to untangle that net.
Instead of plotting multiple indicators simultaneously, this tool lets you focus on one dimension of market behavior at a time, while preserving structure through a Darvas-style box framework.
The box logic used here is inspired by Darvas-style structural bounding, applied to non-price data such as volume, momentum, and volatility.
🔍 What This Indicator Does
• Combines Volume, OBV, PVT, RSI, Momentum, Volatility, TSI, and Supertrend
• Displays only one selected data stream at a time, reducing noise
• Wraps the selected indicator inside a dynamic Darvas-style box
• Highlights:
o Breakouts & breakdowns
o Compression (energy build-up)
o Structural shifts
o Momentum inflections
o Mean-reversion zones
Think of it as one lens, many filters—you rotate the lens, not clutter the chart.
🧠 How to Use It (Practical Insight)
• Volume / OBV / PVT → Institutional intent & accumulation/distribution
• Momentum / RSI / TSI → Strength, exhaustion, and early reversals
• Volatility → Expansion after contraction (the market’s deep breath)
• Supertrend (as data source) → Trend structure without price bias
The Darvas-style box adds context:
• Narrow boxes = stored energy
• Box expansion = energy release
• Source touching box edges = reaction zones
• Zero-line crossings = regime shifts (where applicable)
• 🎯 Who Is This For?
• Traders who want clarity over clutter
• Discretionary traders who adapt tools to market phase
• System builders seeking structure with flexibility
• Anyone who believes less noise = more signal
📝 Points to Note (Important for Proper Interpretation)
1. Color Coding & Structure
• The upper box line (green) represents the upper structural boundary
• The lower box line (red) represents the lower structural boundary
• The white step-line represents the selected source indicator (e.g., PVT, RSI, Momentum)
2. Pane Scaling & Visibility (Very Important)
• This indicator is designed for use in the bottom pane
• Different sources have very different numerical ranges:
o RSI is bounded between 0 and 100
o PVT, OBV, and Volume can have large absolute values
• Users should manually drag and scale the indicator vertically for optimal visibility
• This is intentional and preserves the raw integrity of each data source rather than force-normalizing it
3. Histogram for Comparative Insight
• A histogram of the selected source is included for quick visual comparison
• Helps identify expansion, contraction, acceleration, and divergence, especially during compression phases inside the box
📌 Recommended Usage (Clarity Over Clutter)
Although multiple sources are available, it is strongly recommended to use one chart with one selected source at a time for best clarity and analytical depth.
For first-time users, PVT (Price Volume Trend) is an ideal starting point.
It blends price movement and volume flow into a single continuous narrative and often reveals institutional participation earlier than price alone. PVT works especially well within the Darvas-style box framework.
Once comfortable, users may switch to RSI, Momentum, Volatility, OBV, or other sources—but always one at a time. This preserves the philosophy of focused observation rather than indicator overload.
🌱 Philosophy Behind the Tool
This indicator rewards patience and observation.Give it space.
It will quietly show when the market is gathering energy—and when it is ready to move.
Markets don’t change indicators. We change how we listen.
This indicator doesn’t predict. It reveals.
Think of it not as a dashboard, but as a rotating telescope—you change lenses, not skies.
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day.
Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks)
Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts
Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability
Trade Frequency: Only first trade per day is taken for simplicity and high quality
2. Key Components
a) Daily Levels
Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the “liquidity trap” principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) → buyers think price will continue higher.
Price reverses immediately below PDH, trapping aggressive buyers above the key level.
This creates selling pressure, giving an opportunity to enter short.
Seller Trap (Long Entry):
Price breaks below the previous day low (PDL) → sellers think price will continue lower.
Price reverses immediately above PDL, trapping aggressive sellers below the key level.
This creates buying pressure, giving an opportunity to enter long.
The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves.
c) Trade Execution Logic
Buyer Trap / Short Entry:
Condition: high > PDH AND close < PDH AND no trade taken yet today
Entry: Short at the close of the trap candle
Stop Loss: ATR-based above the trap candle high to avoid minor wick stops
Take Profit: 2:1 Risk-to-Reward ratio
Seller Trap / Long Entry:
Condition: low < PDL AND close > PDL AND no trade taken yet today
Entry: Long at the close of the trap candle
Stop Loss: ATR-based below the trap candle low
Take Profit: 2:1 Risk-to-Reward ratio
Only the first trap trade of the day is allowed to avoid overtrading.
d) Risk Management
Stop-Loss (SL):
ATR-based to account for market volatility
Ensures the trade survives minor wick sweeps without being stopped out prematurely
Take-Profit (TP):
Fixed 2:1 R:R relative to SL
Ensures each winning trade outweighs potential losses
Trade Frequency:
Only first trade per day is allowed, making it highly selective and reducing noise
3. Visual Features
PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded:
PDH → Green
PDL → Red
Trade Labels: Placed on the trap candle:
Short → Red label “Short”
Long → Green label “Long”
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works – Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH → some buyers enter expecting breakout continuation.
Price immediately closes back below PDH, trapping buyers.
The strategy enters short at the close of the reversal candle.
SL: placed above the trap candle using ATR to give room
TP: calculated as 2x the risk (distance from entry to SL)
Trade executes — first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL → some sellers enter.
Price immediately closes back above PDL, trapping sellers.
Strategy enters long at the close of the reversal candle.
SL: below trap candle using ATR
TP: 2:1 R:R
Trade executes — only first trade of the day.
5. Why This Strategy Works
Exploits liquidity zones: Markets often hunt stops above PDH or below PDL.
High-probability reversals: Trapped traders create strong counter moves.
ATR SL: avoids being stopped by minor market noise or wick spikes.
Selective trading: Only first trade per day → reduces overtrading and noise.
Clear visual markers: Makes manual observation and confirmation easy.
6. Key Tips for Traders
Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity.
Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases — traps can behave differently during high volatility events.
Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move.
✅ Summary:
The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows.
It uses ATR-adapted stops and 2:1 R:R TP.
Only first trade per day is executed, reducing false signals.
Anchored PDH/PDL lines and labels make trade opportunities clear.
This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
BINANCE 15m Alt Breakout Radar (TABLE)BINANCE 15m Alt Breakout Radar (TABLE)
"At the 15th installment of Binance Altcoin
Breaking High + Explosive Volume + Surging Stock
View at a glance with **indicator (table)**, not alarm"
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias.
Core Methodology
The script uses a time-anchored engine to map critical supply and demand boundaries:
Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions.
Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion.
Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility.
Session Dynamics
The system is optimized for the global liquidity cycle:
Session 1 (Asia): Maps early-day consolidation and range-bound liquidity.
Session 2 (Europe): Captures the London Move to identify the trend.
Session 3 (US): Analyzes high-volume New York opens for maximum momentum.
Key Features
Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean.
Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto.
Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability.
Use Cases
Momentum Trading: Identifying the Origin of the Move post-open.
Mean Reversion: Recognizing failed breakouts when price returns inside the range.
Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.






















