Institutional Rolling VWAPs • 3 lines Institutional Rolling VWAPs • 3 lines + editable σ bands. 3 x modifiable vwaps, time anchored, same for ltf and htf
Индикаторы и стратегии
Ripster: DTR/ATR + SMA Div + RVOL🧭 Overview
The indicator combines three major analytical tools into one TradingView Pine v6 script — designed for clean, at-a-glance insight into range, divergence, and volume activity.
It shows:
DTR vs ATR Table – current Daily True Range compared to Average True Range.
SMA Price Divergence + EMA Signal – a histogram with color-coded momentum bands.
RVOL Table + Candle Coloring + Change Labels – relative-volume analysis with visual cues on the chart.
Short title: ripcombo
Runs on chart overlay (no separate pane).
📊 1. DTR vs ATR Table
Compares today’s price range (High-Low) to the average true range over a selectable length.
Supports multiple smoothing methods: EMA, RMA, SMA, WMA.
Table position and text size are configurable.
Color logic:
🟢 ≤ 70 % of ATR → low volatility
🟡 70–90 % → average
🔴 ≥ 90 % → expanded range
📈 2. SMA Divergence + EMA Signal
Computes fast (14 SMA) and slow (30 SMA) divergences of price.
Plots two histograms plus an EMA signal line of the slow divergence.
Visuals:
Columns shaded by transparency for clarity.
Rising EMA → lime line (up momentum).
Falling EMA → red line (down momentum).
Optional upper/lower bands and zero line provide quick overbought/oversold zones.
🔥 3. RVOL (Relative Volume)
Adds powerful volume-based context:
a. Table Display
Shows:
Candle Volume
RVOL (Now)
RVOL (Prev)
Δ RVOL (change Now − Prev)
Colors:
🔴 > 200 % (very high volume)
🟠 100–200 % (high volume)
🟡 < 100 % (normal/low volume)
Δ column is green ▲ for increase, red ▼ for decrease.
b. Candle Coloring (optional)
Colors price candles themselves by current RVOL threshold so high-volume candles visually stand out.
c. Last-Bar Label (optional)
Prints a compact label on the latest candle showing:
RVOL: ### % Δ: ▲/▼## %
so you can instantly see the current volume strength and how it changed from the previous bar.
⚙️ User Settings
All major elements are toggle-controlled:
Enable/disable ATR, Divergence, or RVOL sections.
Choose table positions (top/middle/bottom × left/center/right).
Select text sizes, smoothing types, color modes, and visual transparency.
Candle coloring + label visibility are optional.
🧠 At a Glance
Component Purpose Key Visuals
DTR vs ATR Measures volatility expansion One-cell colored table
SMA Divergence Detects price momentum shifts Columns + EMA line + bands
RVOL Analysis Highlights unusual trading volume Colored table + Δ column + candle colors + label
✅ Result
You get a single on-chart tool that:
Quantifies volatility, momentum, and volume context together.
Highlights strong activity days (ATR & RVOL) in color.
Shows whether current candle’s volume is rising or falling vs the previous.
Perfect for spotting breakouts, reversals, or exhaustion moves without switching indicators.
Supertrend Opposite Band Line Onlywhen super trend changes Trend , its important to wait for crossing the Price line of opposite Band so i have written this script . this will help you Traders for sure
Rolling VWAP x3editable rolling vwap, 3 lines, simple, can edit all 3, preset to 7/30/90 day. Just made it to declutter indicators, good luck.
Smart Weekly Lines — Clean & Scroll-Proof (Pine v6)Because your chart deserves structure. Elegant weekly dividers that stay aligned, scroll smoothly, and project future weeks using your wished UTC offset.
Smart Weekly Lines draws precise, full-height vertical lines marking each new week — perfectly aligned to your local UTC offset. It stays clean, smooth, and consistent no matter how far you scroll.
Features
• Accurate weekly boundaries based on your local UTC offset (supports half-hour zones like India +5.5)
• Clean, full-height lines that never cut off with zoom or scroll
• Adjustable color, opacity, width, and style (solid, dashed, dotted)
• Future week projection for planning and alignment
• Optional visibility: show only on Daily and Intraday charts
Works with any market — stocks, crypto, forex, or futures.
Built for traders who value clarity, structure, and precision.
Developed collaboratively with the assistance of ChatGPT under my direction and testing.
Squeeze Momentum MACDSqueeze Momentum MACD
🧠 Description
Squeeze Momentum MACD combines the concept of market volatility compression (the “squeeze”) from Bollinger Bands (BB) and Keltner Channels (KC) with a MACD-style momentum oscillator to reveal potential breakout phases.
The indicator first calculates:
BB Width = Upper Band − Lower Band
KC Width = Upper Band − Lower Band
Then it computes their difference:
Δ = BB Width − KC Width
When Δ > 0 → BB width is greater than KC width → volatility is expanding → potential momentum breakout.
When Δ < 0 → BB is inside KC → volatility is compressing → potential squeeze phase before expansion.
This Δ value is then processed through a MACD-style calculation:
MACD Line = EMA(fast) − EMA(slow)
Signal Line = EMA(MACD, signal length)
Histogram = MACD − Signal
The result is a visual momentum oscillator that behaves like MACD but measures volatility expansion instead of price direction.
🔹 Features:
Dynamic 4-color MACD & Signal lines (positive/negative + rising/falling)
Optional display of raw BB & KC widths
Fully adjustable parameters for BB, KC, and MACD
Works on all timeframes and instruments
🔹 Ideal For:
Detecting market squeezes and breakout momentum
Timing entries before volatility expansion
Integrating volatility and momentum into a single framework
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS)
Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory.
It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊
✨ Key Features
• 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously.
• 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum.
• 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark.
• 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window.
• 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation.
• 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout.
• 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data.
• 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset.
🧭 Typical Use Cases
• 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation.
• 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable.
• 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles.
⚙️ Inputs Overview
• 📝 Assets (1–4): Select up to four tickers for evaluation.
• 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection.
• 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows.
• 🚦 Gates: Optional trend and alpha filters to refine results.
• 🖥️ Display: Enable/disable table and customize colors.
• 🔔 Alerts: Toggle notifications on leadership changes.
🔎 Formula Basis
Jensen’s Alpha (α) is estimated as:
α = E − β × E
where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively.
A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It is NOT a signal. 🚫📉
It does not constitute financial advice, trading signals, or investment recommendations. 💬
The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏
Always perform your own analysis and use proper risk management. 🛡️
Ripster Labels + Air Gaps (v6)What it shows (on one chart)
EMA Clouds (current timeframe)
Plots EMA 8/12/21/34/50/200 with three cloud fills:
12–21 = “fast” cloud
34–50 = “mid” cloud
50–200 = “base” cloud
Cloud color: green when the faster EMA is above the slower (bullish), red/maroon/orange when below (bearish).
Toggle lines vs. clouds via A) EMA Clouds settings.
MTF Rails (higher-TF EMAs)
For three higher timeframes (defaults 30m / 60m / 240m), draws two EMAs each (defaults 34 & 50).
These are stepline-like rails you can visually use as higher-TF supports/resistances.
Configure in B) MTF Rails (turn on/off, change TFs/lengths/colors).
Relative Volume Box (RVol)
Small table (top-center) showing:
Candle Vol (formatted K/M/B if enabled)
RVol = current bar volume / SMA 20 of volume (as a %)
Color scale: blue (<100%), yellow (100–150%), red (>150%).
Settings in C) RVol Box.
DTR vs ATR Box
Daily True Range (DTR = day high − day low) vs ATR(14) on the daily timeframe, with DTR as % of ATR.
Placed at top-right; toggle in D) DTR/ATR Box.
Ripster Trend Label (10m 12/50)
Looks at a separate timeframe (default 10m): EMA 12 vs EMA 50.
Bottom-right table cell shows “10m Trend ↑/↓/Sideways” (green/red/gray).
Configure in E) Ripster Trend Labels (TF and lengths).
Air Gaps (single EMA per TF)
Three horizontal, auto-extending lines showing an EMA from 30m / 60m / 240m (default length 12).
“Air gaps” are the price spaces between these lines—often lighter-resistance zones for price.
Start point logic:
All Bars = draw from the chart’s left
Start of Day = draw from today’s first bar
Bars Offset = draw from N bars back (default 100)
Settings in F) Air Gaps (TFs, length, draw-from, bars-back).
Inputs & where to tweak
A) EMA Clouds
Show EMA Clouds: master toggle
Source: close (default)
Lengths: 8/12/21/34/50/200
Show EMA lines: toggle plotted lines (clouds remain)
B) MTF Rails
Show MTF Rails
TF1/TF2/TF3 (defaults 30/60/240)
EMA A/B (defaults 34/50)
C) RVol Box
Show box
Format as K/M/B: K=1e3, M=1e6, B=1e9
D) DTR/ATR Box
Show DTR/ATR
ATR len: default 14 (daily)
E) Ripster Trend Labels
Show labels
Trend TF: default 10 (10-minute)
Trend EMA Fast/Slow: default 12/50
F) Air Gaps
Show Air Gap lines
TF1/TF2/TF3 (30/60/240)
EMA length: default 12
Draw from: All Bars | Start of Day | Bars Offset
Bars back: used if Draw from = Bars Offset
How it makes decisions
Cloud bias = sign of (faster EMA − slower EMA) for each cloud pair.
Example: 12>21 → fast cloud is bullish (green); 34>50 → mid cloud bullish (teal).
10m trend label = sign of (EMA12−EMA50) on the Trend TF (default 10m).
RVol = volume / sma(volume, 20); formatted as a percent and color-coded.
Practical read of the screen
Fast cloud flips (12/21) often mark short-term momentum changes; mid cloud flips (34/50) reflect swing bias.
Air Gap lines from higher TFs frequently act as support/resistance. Larger spaces between lines = “air gaps” where price can move with less friction.
RVol color tells you how “real” a move is: red/yellow often confirms momentum; blue warns of thin/liquidy bars.
DTR vs ATR shows if today’s range is stretched vs recent norm.
Design choices (why your prior errors are gone)
Removed multiline ?: chains → replaced by if/else (Pine v6 is picky about line continuations).
Moved fill() calls outside of local if blocks (Pine limitation).
ta.change(time("D")) != 0 makes the if condition boolean.
Declared G_drawFrom / G_barsBack before startX() so identifiers exist.
ETH Smart Money Order Blocks Detector derek
This script helps identify potential Order Blocks (institutional price zones) on the chart based on Breaks of Structure (BOS).
It automatically highlights demand zones (green blocks) and supply zones (red blocks), making it easier to read institutional market flow.
Ideal for traders using Smart Money Concepts (SMC) or market structure analysis.
Compatible with any asset and timeframe.
🔹 Bullish OB = potential buy entry zone
🔹 Bearish OB = potential sell or resistance zone
Author: Derek 🧠💹
Volume Biased CandlesVolume Biased Candles
This indicator visualizes the underlying volume polarity of price action by coloring candles based on directional volume bias over a rolling bucket of bars.
Instead of reading price alone, each candle reflects whether buying or selling pressure has dominated within its recent volume structure — giving a more intuitive picture of volume sentiment beneath price movement.
🔹 How it works
Bucket Size (n) → defines how many candles are aggregated to evaluate directional volume bias
For each bucket, total up-volume and down-volume are compared to determine overall market pressure
Volume Bias Score → a continuous ratio from -1 to +1, representing the relative dominance of buyers or sellers
Candles are colored according to the active bias — green for positive (buying), red for negative (selling)
🔹 Use cases
Visualize shifts in market control without needing divergence overlays
Combine with delta divergence or price structure tools to validate entries and exits
Simplify volume and price insights into an intuitive, single-chart visualization
✨ Volume Biased Candles transforms standard candles into a live sentiment gauge, revealing whether the dominant flow behind price movement is bullish or bearish.
SPY vs VIX SMA Slope Alignment (Adjustable Days)Use this on VIX Chart only.
This indicator compares the SLOPE of the daily SMA of SPY, to the SLOPE of the Daily SMA to VIX
When SPY and VIX are trending UP for the length of time that you define, you will get a GREEN ARROW on the VIX chart showing that the condition has been met.
EXAMPLE:
Set 3 day SMA for VIX and SPY
THEN
Set Look back time to 2 days
---IF SPY 3day SMA AND VIX 3day SMA are both ASCENDING during any 3 day lookback period, a green indicator arrow will be showing on the VIX Chart
DO NOT Use this indicator on SPY Chart
(SPY and VIX have different daily open/close times. This indicator DOES NOT work propertly on SPY Chart. But it DOES work properly on VIX chart. )
Premarket, Previous Day H/L + EMA Trend Table + ATHPremarket, Previous Day H/L + EMA Trend Table + ATH
ES Key Levels (Adam Mancini)An automated way to draw key levels from Adam's newsletter without manually drawing it all out.
High Volume AlertThis Pine Script monitors trading volume in real time and alerts you whenever current volume is unusually high — specifically, when it’s greater than a chosen multiple (for example, 1.5×) of the average volume over a recent period (for example, 20 bars).
It’s a quick way to detect volume spikes, which often precede breakouts or reversals.
XAUUSD Scalper-AbsoluteTesting for first time, indicator with an idea to get the volitality. first time will be bad but let us see with time
RSI + Stochastic Combo (fixed) by howhaber# RSI + Stochastic Indicator
**Summary**
This indicator combines RSI and Stochastic to generate BUY and SELL signals in oversold or overbought market conditions. It merges both indicators for higher accuracy, reducing false signals. Includes visual signals on the chart, alerts, and an info label for quick analysis.
---
## 📈 How the Indicator Works
### RSI Component
- Calculates standard RSI based on the specified period (`rsiLen`).
- Indicates oversold (< 30) or overbought (> 70) conditions.
### Stochastic Component
- Manually calculated to avoid compatibility issues.
- Measures the current price position relative to the price range (highs/lows) over the selected period.
- Smoothed using two SMA filters (%K and %D).
### Signal Logic
**BUY Signal**:
- %K crosses above %D (`ta.crossover(k, d)`).
- %K < 20 (oversold market).
- RSI < specified threshold (default < 40).
**SELL Signal**:
- %K crosses below %D (`ta.crossunder(k, d)`).
- %K > 80 (overbought market).
- RSI > specified threshold (default > 60).
---
## 📍 What's Displayed on the Chart
- 🟢 **Green arrow** below the bar → BUY signal.
- 🔴 **Red arrow** above the bar → SELL signal.
- **In a separate window**:
- RSI line (blue).
- Stochastic %K (orange).
- Stochastic %D (purple).
- Reference levels: 30/70 (RSI), 20/80 (Stochastic).
---
## 🔔 Alerts
- **RSI+Stoch BUY**: Notification on BUY signal.
- **RSI+Stoch SELL**: Notification on SELL signal.
Receive alerts via email, Telegram, or directly on the platform.
---
## 🧩 Additional Feature
- Info label on the last bar, displaying:
- Current RSI value.
- %K and %D values.
- Facilitates quick visual checks of the indicator's current state.
---
## 💡 Interpretation
- **Oversold market** (confirmed by RSI and Stochastic): Likely upward reversal.
- **Overbought market** (confirmed by RSI and Stochastic): Likely downward reversal.
- Combining both reduces false signals and improves accuracy in choppy markets.
---
## ⚠️ Important Note
This indicator is not financial advice. It is designed for technical analysis and educational purposes. Combine it with other tools like trend analysis, volume, and price patterns for better results.
多周期Stoch RSI共振指标Multi-period Stoch RSI resonance indicator
This is a multi-period resonance indicator,4h、1h、30m、15m
(RSI + CCI) × (MACD/ATR)^2⚙️ (RSI + CCI) × (MACD / ATR)² Composite — Normalized, Compressed, Dynamic Colors
This advanced composite oscillator merges three powerful momentum indicators — RSI, CCI, and MACD — into one normalized and volatility-adjusted signal that reacts smoothly across all markets.
By dividing MACD by ATR (Average True Range), the indicator self-scales for different symbols, and an optional tanh-like compression prevents extreme spikes while keeping the movement fluid and responsive.
🧩 Core Formula
(RSI + CCI) × (MACD / ATR)²
(optionally passed through a tanh compression for stability)
RSI and CCI are normalized (RSI ÷ 50, CCI ÷ 100) → roughly −2 to +2 range.
MACD is volatility-adjusted by ATR → scale-independent between assets.
The result is centered around 0 for clear bullish/bearish momentum comparison.
🎨 Visual Features
🟢🔴 Dynamic 4-Color Histogram
Positive + Rising = Strong Teal
Positive + Falling = Light Teal
Negative + Falling = Strong Red
Negative + Rising = Light Red
🟡⚫ 4-Color Smoothing Line
Positive & Rising = Bright Yellow
Positive & Falling = Soft Yellow
Negative & Rising = Grey
Negative & Falling = Dark Grey
Zero-centered layout for intuitive bullish/bearish visualization.
⚙️ Adjustable Parameters
Individual RSI, CCI, and MACD lengths and sources.
ATR length for volatility normalization.
Optional tanh-style compression with adjustable gain (to keep values in ±1 range).
Fully customizable colors and line widths for both bars and smoothing line.
🔔 Alerts
Triggered automatically when the composite crosses above or below zero, signaling potential trend reversals or momentum shifts.
💡 How to Use
Composite > 0 → Bullish momentum ↑
Composite < 0 → Bearish momentum ↓
A brightening line or bar = momentum accelerating.
A fading color = momentum weakening or reversal forming.
Combine with higher-timeframe trend filters (EMA, VWAP, Supertrend) for confirmation.
EMA Ribbon MozyMozy TRading
EMA Ribbons for short time frames on daily traders. Buy or sell during crosses
Liquidations Aggregated (Lite)Liquidations Aggregated (Lite)
The Liquidations Aggregated (Lite) script provides a unified cross-exchange visualization of short and long liquidation volumes, allowing traders to identify high-impact market events and sentiment reversals driven by forced position closures. It aggregates normalized liquidation data from Binance, Bybit, and OKX into a single coherent output, offering a consolidated perspective of derivative market stress across major venues.
Core Concept
Liquidations are involuntary closures of leveraged positions when margin requirements are breached. They represent points of structural orderflow imbalance, often triggering localized volatility spikes and price pivots. This indicator isolates and aggregates those liquidation volumes by direction (short vs. long), allowing traders to map where leveraged traders are being forced out and whether current market movement is driven by short covering or long capitulation.
Underlying Methodology
Each connected exchange provides liquidation feeds via standardized symbols (e.g., BTCUSDT.P_LQBUY or BTCUSD.P_LQSELL).
The script differentiates between:
Short Liquidations → Buy Volume: Forced covering of shorts, representing upward pressure.
Long Liquidations → Sell Volume: Forced selling of longs, representing downward pressure.
Bybit’s inverse data is normalized to align directional logic with Binance and OKX. Data is drawn through the request.security() function per symbol and per exchange, with per-exchange scaling adjustments applied to compensate for differences in reported nominal sizes (USD vs. coin-margined). The script is meant to match the calculation methods of professional-grade data sources (e.g., Velodata, Coinalyze). The value is denominated in the base currency at all times.
Computation Logic
Liquidation volumes are fetched separately for USD- and USDT-margined pairs on each exchange.
Exchange-specific magnitude adjustments are applied to account for nominal denomination differences.
Normalized liquidation buy and sell volumes are summed into two global aggregates:
combinedBuyVolumeLiquidationsShort → aggregated buy volume from forced short positions closes (Short Liquidations)
combinedSellVolumeLiquidationsLong → aggregated sell pressure from forced long position closes (Long Liquidations)
Final series are plotted as mirrored column charts around a zero baseline for direct comparison.
How to Use
Apply the script to any crypto perpetual futures symbol (e.g., BTCUSDT, ETHUSDT).
Observe teal bars (Buy Volume from Short Liquidations) for short squeezes and red bars (Sell Volume from Long Liquidations) for long wipes.
Strong teal spikes during downtrends often indicate aggressive short liquidations leading to short-term bounces.
Strong red spikes during uptrends often mark long unwinds that can trigger sharp retracements.
Sustained asymmetry in either direction suggests systemic imbalance across leveraged positioning.
Custom MTF EMA CloudsVisualize market structure and trend alignment across multiple timeframes with six layered EMA clouds — from short-term momentum to macro trend anchors.
Each pair of EMAs forms a dynamic cloud that adapts to your selected timeframe.
Colors, lengths, and visibility are fully customizable, allowing you to tailor the setup for any trading style.
⚙️ Default Configuration
EMA Short Long Purpose
1 8 13 🔸 Intraday momentum cloud (scalping layer)
2 21 24 🟩 Short-term trend confirmation
3 50 55 🔵 Medium-term swing structure
4 120 144 🔴 Long-term support/resistance band
5 200 238 🟠 Institutional trend foundation
6 400 460 🟣 Macro directional anchor
🧩 Features
✅ Up to 6 independent EMA clouds
✅ Fully customizable short & long lengths
✅ Individual line and cloud colors
✅ Toggle each layer on/off
✅ Works with any timeframe via the Resolution input
✅ Automatic cloud transparency for better chart clarity
📈 How to Use
Use EMA 1–2 (8/13, 21/24) for momentum shifts and intraday entries.
Use EMA 3–4 (50/55, 120/144) for swing confirmation and trend continuation.
Use EMA 5–6 (200/238, 400/460) as long-term anchors to stay aligned with institutional flow.
Watch for crossovers or price breaking in/out of clouds — they often precede strong directional moves.
Previous Day High-LowIt will show Previous Day High-Low. This will create two horizontal lines automatically updated each day, marking yesterday’s high and low levels clearly on any intraday chart.
X 4H ORThis indicator plots the 30-second opening range (high/low) for six New-York–time anchors—2am, 6am, 10am, 2pm, 6pm, and 10pm—and extends each box to a fixed end time (e.g., 2am→9am, 6am→1pm, etc.). It samples true 30-second data regardless of the chart timeframe, so the captured highs/lows are precise.
What it does
Builds the first 30s OR for each selected anchor and draws a time-anchored box for that session.
Archives every day’s boxes (up to a cap) so you can study how price interacts with past ranges.
Adds per-anchor show toggles to display the latest box for that anchor.
Adds a global History toggle to show/hide all archived boxes without deleting them (clean view vs. context view).
Uses borderless, color-coded fills per anchor to avoid edge distortion while keeping levels easy to read.
Why it’s useful
Quickly spot session inflection zones where liquidity, breakouts, or reversals cluster.
Compare how current price trades relative to recent session ranges for bias and risk framing.
Perform lightweight post-session review/backtesting on OR breaks, retests, and range rotations.
Keep charts decluttered on demand (latest only), or flip on history for deeper context.






















