Anya1This script is a **Trend-Following Momentum Strategy** specifically designed for **Gold (XAUUSD)** but applicable to other assets. It combines an oscillator (to find entry points) with two moving averages (to ensure you are trading with the trend).
Here is a breakdown of how the logic works and how to read the signals on your chart.
---
### 1. The Strategy "Gears" (The Filters)
The script uses a "triple-filter" system. A signal is only generated when all three of these conditions click into place at the exact same time:
* **Gear 1: Momentum (Cipher Twister):** This oscillator looks for "turning points." It identifies when the market is exhausted.
* **Buy:** The momentum lines cross while **below the zero line** (recovering from oversold).
* **Sell:** The momentum lines cross while **above the zero line** (dropping from overbought).
* **Gear 2: Medium-Term Trend (MA 25):** The price must be on the "correct" side of the **Yellow Line**. This ensures that the immediate price action is moving in your favor.
* **Gear 3: Macro Trend (MA 150):** This is the final gatekeeper (the **White Line**). You are forbidden from buying if the price is below this line, and forbidden from selling if it is above. This keeps you on the right side of the "Big Picture."
---
### 2. How to Read the Signals
| Signal | Chart Visual | Rule |
| --- | --- | --- |
| **BUY** | **Green "BUY" Label** | Price is above the Yellow & White lines + Oscillator crossed below zero. |
| **SELL** | **Red "SELL" Label** | Price is below the Yellow & White lines + Oscillator crossed above zero. |
**Visual Confirmation:** The script will also highlight the background in **Lime** for a Buy and **Red** for a Sell to make it impossible to miss.
---
### 3. Risk Management (The Exit)
This version is built as a **Strategy**, meaning it has a built-in "Exit Plan" for every trade:
* **Stop Loss (SL):** 100 Pips ($10.00 move in Gold).
* **Take Profit (TP):** 120 Pips ($12.00 move in Gold).
When a trade is entered, TradingView will automatically track the price. If it hits your target, the trade closes in profit. If it hits your stop, it closes to protect your capital.
---
### 5. Best Use Cases
* **Trending Markets:** This script thrives when Gold is in a clear uptrend or downtrend.
* **Timeframes:** It is most effective on the **15-minute (15M)** or **1-hour (1H)** charts. Lower timeframes (like the 1M) may hit the Stop Loss too frequently due to market noise.
**Would you like me to add a "Trailing Stop" feature, so the strategy locks in profits automatically as the price moves in your favor?**
在腳本中搜尋"charts"
Algomist - Adaptive Velocity Cross🚀 Algomist: The Adaptive Velocity Cross (AVC)
Automate Your Edge
This strategy transcends the limitations of classic Moving Average (MA) crossovers. The Adaptive Velocity Cross (AVC) is a state-of-the-art trend-following system designed for automated execution, filtering out low-probability whipsaws and prioritizing high-momentum breakouts in volatile markets.
It's not just a signal generator; it's a fully automated, risk-managed trading plan that delivers structured trade signals directly to your Algomist account.
🔥 Key Features & Technology
Adaptive Hull Moving Averages (HMA): Utilizes the Hull MA to significantly reduce lag compared to standard EMAs and SMAs. The faster and slower HMAs provide a highly responsive gauge of short-term and medium-term trend direction.
Multi-Layer Volatility Filtering: Trades are strictly prohibited during flat, low-volatility market conditions.
Current Timeframe Filter (ATRMinFilter): Ensures trades only fire when current market momentum is strong enough to carry the trend.
Higher Timeframe Filter: Checks the ATR on a higher timeframe (e.g., 1H) to confirm the structural trend strength, preventing entries during tight squeezes.
Visual Trend Velocity: The space between the Fast (Blue) and Slow (Pink) HMAs is colored and filled, providing an immediate visual cue for trend direction and strength (width of the band).
Asymmetric Risk Management: Uses the dynamic Average True Range (ATR) to calculate Stop Loss and Take Profit levels, ensuring risk and reward are proportional to current market volatility.
⚙️ How It Works (The Logic)
The AVC only executes a trade when all three high-conviction criteria are met:
Trend Signal: The Fast $\text{HMA}$ crosses the Slow $\text{HMA}$ (Crossover).
Volatile Market Confirmation: The market must be sufficiently volatile on both the current timeframe and the higher structural timeframe ($\text{ATR}$ filters passed).
Risk Management: A defined $\text{SL}$ (Stop Loss) and $\text{TP}$ (Take Profit) are calculated based on the current market $\text{ATR}$ to manage the position before entry.
🤖 Automation Ready
The strategy is built with automation as the priority. Upon a confirmed entry, the script sends a cleanly formatted JSON string via a TradingView Webhook alert to Algomist. Create your account and get your own web hook @ www.algomist.app
Example Alert Output:
{
"symbol": "ETHUSDC",
"side": "LONG",
"entry_price": 67500.0,
"stop_loss": 66000.0,
"take_profit": 70000.0,
"timestamp": 1766715660462
}
This signal is ready for immediate consumption by your Algomist execution engine, ensuring lightning-fast and error-free order placement.
📊 Recommended Use
Asset Class: Highly effective on high-liquidity, high-volatility assets (e.g., Crypto Majors, Forex Pairs, Indices).
Timeframes: Works best on 1m to 15 min charts.
Risk Profile: Medium-to-High frequency trend-following system.
Disclaimer: The strategy code provided is for informational and educational purposes. Past performance is not indicative of future results. Always backtest and forward-test any automated strategy extensively before using real capital.
GCM Quantum Strike: VMDPB & MarubozuTitle Field: GCM Quantum Strike: VMDPB & Marubozu
Description:
GCM Quantum Strike is a comprehensive technical analysis suite designed to visualize Momentum (Marubozu), Trend (Ribbons/DEMA), and Key Levels (PDHL/VWAP) on a single overlay.
The core innovation of this script is the "Phantom Mode" Marubozu Engine, a custom coding technique designed to solve the issue of color transparency mixing on overlay charts.
Originality & Concept
Standard scripts often struggle when highlighting specific candle patterns; drawing a highlight over an existing candle results in muddy, mixed colors due to transparency blending.
GCM Quantum Strike solves this using a unique logic flow:
1. Detection: It scans price action for Marubozu candles based on strict ATR (Volatility) and Percentage (Body/Wick) requirements.
2. Phantom Mode: When a signal is found, the script programmatically turns the original chart bar 100% invisible (color.rgb(0,0,0,100)).
3. Reconstruction: It instantly draws a new, Solid (100% Opacity) custom candle in that exact space.
This results in crisp, "Quantum" styled signals that pop off the screen without blending with the background or previous themes.
How it Works & Key Features
1. The Marubozu Engine (GM / RM)
• Logic: A candle is identified as a Marubozu if:
o Size: The range exceeds a user-defined multiple of the ATR (14).
o Body: Occupies >80% (default) of the total range.
o Wicks: Occupy <10% (default) of the total range.
• Visuals:
o GM (Green Marubozu): Signals strong Bullish influx.
o RM (Red Marubozu): Signals strong Bearish influx.
o Both are rendered in solid Neon Green/Red.
2. Trend Ribbons & Averages
• EMA Ribbons: A visual ribbon formed by EMA 5, 9, 15, and SMA 20. The color intensity changes based on the slope alignment, helping identify the strength of the immediate trend.
• VWMA 20 (Volume Weighted): Plots in Light Blue (Rising) or Orange (Falling). This helps confirm if price moves are backed by volume.
• DEMA 100 (Step-Line): A Double EMA plotted as a step-line to act as a clear, non-noisy baseline for the long-term trend.
3. Institutional Levels
• PDH / PDL: The Previous Day's High and Low are fetched from daily data (non-repainting) and plotted as "Cross" markers. These often act as strong intraday magnets or reversal points.
• VWAP: The classic Session Volume Weighted Average Price (Yellow).
• Bollinger Bands: Standard 2.0 deviation bands to visualize volatility expansion and contraction.
How to Use
This script is designed for "Confluence Trading." Do not rely on one signal alone; look for agreement among the indicators.
1. The Setup: Wait for the EMA Ribbons and VWMA 20 to align in color (e.g., Green/Blue for Buy).
2. The Trigger: Look for a GM (Green Marubozu) label. This indicates a high-momentum breakout or trend continuation candle.
3. The Validation: Ensure the GM candle closes outside the EMA ribbons or above the VWAP.
4. The Targets: Use the PDH (Red Crosses) or Upper Bollinger Band as logical take-profit zones.
Settings
• Marubozu Settings: Fully adjustable. You can change the Min Body %, Max Shadow %, and ATR Multiplier to filter out smaller candles during choppy markets.
• Moving Averages: Adjust lengths for VWMA, SMA, and DEMA.
• Toggles: Every component (PDHL, BB, Ribbons) can be toggled on/off to keep your chart clean.
deKoder | Whale Prints [WP]deKoder | Whale Prints | Large Trade Orderflow Detection
This open-source indicator is a clean, precision tool for revealing hidden large-volume activity directly on your chart. By scanning ultra-low timeframes while you view higher ones, it projects statistically significant volume spikes as intuitive markers giving you a clear window into institutional orderflow without visually overwhelming the price action.
Key Features & Strengths
True Intra-Bar Detection | Monitors lower timeframes down to 1-second bars, catching aggressive block trades and absorption that occur within a single higher-TF candle.
Accurate Trade Levels | Markers are placed at the actual hl2 price of the aggressive lower-TF bar, providing a far more accurate estimate of where the large trade executed than typical mid-candle approximations.
Multiple Trades Per Bar | If several significant volume spikes occur inside one higher-TF candle, all qualifying levels are displayed individually – offering greater granularity and context.
Adaptive Thresholding | Uses higher-TF volume standard deviation (stable baseline) intelligently scaled to the lower timeframe, reducing noise in quiet markets while remaining sensitive to genuine outliers.
Clean Visual Hierarchy | Three tiers (Small 🞉 / Medium ⏣ / Large 🞊) with dynamic symbol size, line thickness, transparency, and user-definable bullish/bearish coloring based on LTF candle direction.
How to Use It as an Orderflow Tool
Large volume spikes often mark the footprints of institutional players. This indicator helps you read those footprints in real time.
Small (🞉) | Moderate excess volume: early interest, probing, or building positions.
Medium (⏣) | Strong spike: increasing conviction, potential momentum shift.
Large (🞊) | Extreme outlier: frequently climactic volume signalling exhaustion or major absorption.
Why Price Often Reverses at These Levels
Large players frequently place limit orders in areas rich with liquidity – commonly just beyond recent highs/lows where retail stop-losses cluster. When price sweeps those zones:
Stop hunts trigger a cascade of forced exits, creating liquidity for larger participants to fill their limit orders.
Breakout traders who entered on the move are trapped offside and become forced buyers/sellers when price reverses.
Institutions use this liquidity to execute large orders at favorable prices with minimal immediate market impact.
The result is aggressive volume at the extreme, followed by reversal as smart money finishes filling and price returns toward fair value. Clusters of medium/large markers at swing points are classic signs of this dynamic.
Practical Analysis Tips
Reversals/Absorption | Clusters of large markers at swing highs/lows (especially opposing-color spikes) signal potential turns – buyers or sellers stepping in aggressively.
Level Defense | Trades piling up at key support/resistance suggest institutions protecting or building positions.
Trapped Traders | Large spikes beyond range pivots followed by reversal back into the range often highlight trapped breakout traders who add fuel to a move when they are forced to liquidate their positions.
Use Offset (-3 to +3) to shift markers away from current price for clearer viewing.
Pro tip: Zoom into the lower TF occasionally to see how these projected levels align exactly with aggressive candles.
Recommended Pairings
This is designed as a pure orderflow overlay to be layered with your existing setup:
Support & Resistance (horizontals, pivots, Volume Profile POC/VAH/VAL)
Market Structure tools (swing points, order blocks, fair value gaps)
Trend filters (EMAs, SuperTrend, higher-TF bias)
Momentum oscillators for timing confluence
Best Suited For
Scalping & day trading (1–15 min charts with 5–30S lower TF)
Swing trading entries (1H–4H charts with 1–5 min lower TF)
High-liquidity markets: crypto perpetuals, forex majors, volatile stocks
Add this indicator to start seeing the hidden aggression driving price and expose the hidden edges beyond the noise.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
PVSRA High Volume Lines MTF - DailyThis indicator identifies Daily candles with significant volume activity based on the traditional PVSRA calculation.
When a high-volume Daily candle is detected, the indicator plots support and resistance levels at the high and low of that specific candle.
These Daily-based levels are then projected onto lower timeframes, allowing traders to visualize higher-timeframe support and resistance zones directly on intraday charts.
The indicator focuses only on days with elevated volume, rather than plotting levels for every Daily candle.
Stop Loss Hunting Zones This Pine Script indicator identifies and visualizes potential "stop loss hunting zones" on charts. It marks price levels where institutional traders or market makers might trigger retail stop losses before reversing direction, helping traders avoid false breakouts and better time their entries.
Key Features:
Four Types of Detection Zones-
1.Swing Zones (Red/Green): Identifies swing highs and lows using pivot point analysis where stop losses typically cluster above resistance and below support levels.
2.Breakout Zones (Orange): Detects consolidation periods and marks levels where false breakouts might occur, trapping traders who enter too early.
3.Wick Trap Zones (Purple): Highlights candles with disproportionately large wicks relative to body size, indicating potential stop loss raids with quick reversals.
4.Volume Reversal Zones (Blue): Identifies high-volume reversal patterns where price briefly touches a level before sharply reversing, suggesting stop loss absorption.
Customizable Parameters:
Swing Lookback: Period for pivot point detection (5-100 bars)
Swing Threshold: Minimum percentage move to qualify as a swing (0.5-10%)
Volume Threshold: Multiplier for detecting unusual volume (1-5x average)
Wick Ratio: Minimum wick-to-total range ratio for trap detection (0.3-0.9)
ATR Settings: Length and multiplier for zone buffer calculation
Zone Management: Maximum zones per type and minimum distance between zones
Display Options: Toggle individual zone types, heatmap intensity, labels, and transparency
Visual Features:
Heatmap Mode: Colour intensity reflects how often price has tested each zone
Smart Zone Management: Prevents chart cluttering by limiting zones and removing those too close together
Dynamic Labels: Clear zone identification with customizable display
Adjustable Transparency: Control zone visibility (10-90%)
How It Works:
The indicator uses ATR-based buffers to create zones around detected levels. It tracks price history to calculate "intensity" scores for the heatmap feature, helping identify the most significant hunting zones. The algorithm ensures zones are meaningful by enforcing minimum distances and limiting total zones displayed.
Avoid placing stop losses at obvious levels where hunting is likely
Identify potential reversal points for counter-trend trades
Recognize false breakout patterns before they complete
Time entries after stop loss hunts are absorbed
Technical Details:
Maximum 500 boxes, lines, and labels for comprehensive zone tracking
Compatible with all timeframes
Works on any market (stocks, forex, crypto, futures)
Real-time detection as new bars confirm
This indicator is designed for traders who want to understand where institutional players might target retail stop losses and use that information to their advantage. Please boost & follow for more. Happy trading !!
Disclaimer: This indicator is for educational and informational purposes only. It should not be considered financial advice. Always perform your own analysis and risk management before trading.
Target Ladder Elite Median and ATR Active TargetsTarget Ladder Elite is a precision-based price targeting and reaction framework designed to reveal where price is statistically drawn next and when that target has been meaningfully engaged.
Instead of forecasting distant projections or repainting future paths, this indicator operates entirely in live market context, adapting dynamically to volatility and structure on any timeframe.
📌 What This Indicator Does
Target Ladder Elite builds a dynamic price ladder using three core components:
1️⃣ Median Price Axis
At its core is a short-length median moving average, acting as the equilibrium line of price. This median defines directional bias:
Price above the median → bullish pressure
Price below the median → bearish pressure
The median continuously adapts to price behavior rather than lagging behind it.
2️⃣ ATR-Based Target Bands
Using Average True Range (ATR), the indicator constructs upper and lower volatility targets around the median.
These are not generic volatility bands — they function as statistically relevant price objectives, expanding and contracting with market conditions.
Upper band = upside target
Lower band = downside target
The bands remain stable, smooth, and timeframe-independent.
3️⃣ Active Target System
Only one target is active at a time, determined automatically:
If price is above the median → upper target is active
If price is below the median → lower target is active
The Active Target label appears on the most recent candle and updates in real time, showing traders exactly where price is currently being drawn.
This keeps focus on one objective, eliminating clutter and decision paralysis.
🎯 HIT Detection Logic
Whenever price meaningfully reaches an ATR target, the indicator registers a HIT label directly on the chart.
A HIT signals:
Target fulfillment
Momentum exhaustion or continuation decision zone
High-probability reaction area
Clusters of HITs often appear during trends, while missed or rejected targets frequently precede reversals.
🧠 How to Use Target Ladder Elite
✔ Trend Following
Trade in the direction of the active target
Use HITs as confirmation of trend strength
✔ Mean Reversion Awareness
Multiple HITs without follow-through can signal exhaustion
Failed target attempts often precede reversals back toward the median
✔ Confluence Trading
Pairs exceptionally well with:
Bollinger Bands
RSI / Stochastic RSI
Market structure or support/resistance
✔ Any Timeframe
The logic is volatility-normalized, making it effective on:
Intraday charts
Swing charts
Daily and higher timeframes
No parameter changes are required when switching timeframes.
🎨 Visual Clarity & Customization
Fully customizable colors for:
Median
Upper & lower targets
Active target balloon
HIT labels
Clean, non-repainting design
Designed for professional chart layouts and publishing
⚠️ Important Notes
Target Ladder Elite is not a signal generator and does not predict future price paths.
It is a price reaction and target awareness tool, best used as part of a broader trading plan.
📈 In Summary
Target Ladder Elite helps traders answer three critical questions in real time:
Where is price statistically drawn next?
Has that objective been fulfilled?
Is momentum continuing or stalling?
It brings structure, clarity, and discipline to price movement — without noise.
Simple Perps Calculator## Simple Perps Calculator (Long & Short)
A lightweight on-chart trade calculator that visualizes **entry, take-profit, and liquidation levels** with leverage-adjusted returns — designed for fast planning and clean charts.
This indicator automatically detects **long or short positions** based on your target price and adjusts calculations accordingly. All key levels are displayed as **colored horizontal price lines** with matching labels positioned near the price scale for easy reference.
---
### Features
- Entry, Take-Profit, and Liquidation price levels
- Automatic **long / short detection**
- Leverage slider up to **1000×**
- Leveraged **percent gain** calculation
- Color-coded horizontal price lines:
- 🟡 Entry
- 🟢 Take-Profit
- 🔴 Liquidation
- Adjustable label positioning (left or right of chart)
- Horizontal offset control to move labels out of the way
- Clean, minimal, non-intrusive design
---
### How to Use
1. Set your **Entry Price**
2. Set your **Target Price**
3. Adjust **Leverage**
4. Move labels using the **horizontal offset** slider if needed
If the target price is above entry, the script assumes a **long** position. If below, it assumes a **short** position and places the liquidation level above entry automatically.
---
### Notes
- Liquidation price uses a simplified isolated-margin model
- Intended for **planning and visualization only**
- Actual exchange liquidation prices may vary due to fees and maintenance margin requirements
+25% DMA200 +25% DMA200 highlights daily over-extension by printing a ⚠️ marker on every daily candle where price is more than X% above the Daily 200 DMA (200-period SMA calculated on the Daily timeframe). It also plots the Daily DMA200 line on the chart. Recommended usage in GOLD, GLD, etc.
How it works
Computes DMA200 using Daily data
Measures extension: (Close − DMA200) / DMA200
If extension is above the threshold (default 0.25 = 25%), it places a ⚠️ above that candle (one per qualifying daily candle).
Optional alert triggers only when extension crosses above the threshold (entry into the over-extended zone).
Inputs
DMA Length (Daily): Moving average length (default 200).
Threshold: Over-extension level (0.25 = 25%).
Run ONLY on 1D chart: If enabled, marks/alerts only on Daily charts.
Pad above high: Vertical spacing for the marker above the candle’s high.
Keep last N markers: Limits how many markers are kept to avoid chart clutter.
Note
This is not a buy/sell signal—it’s a risk/extension detector to help identify when price is stretched far above its long-term daily mean.
BTC - CII: Drawdown DNA | RMBTC - CII: Drawdown DNA | Rob_Maths
The "Broken Cycle" Series: Pt 1
Welcome to the debut of the Cycle Integrity Index (CII) . This quantitative diagnostic suite was engineered for a singular mission: to determine if Bitcoin’s historical 4-year cycle is still the primary track rhythm, or if the market has shifted into a high-downforce Institutional Regime.
As of January 2026 , the Bitcoin market is at a historical crossroads. According to the classical 4-year model, we have passed the "Theoretical Peak" and are now on the long descent toward a projected cycle low in late 2026 . However, a massive debate is raging: Is the cycle broken?
While legacy models expect a total engine failure (an -80% wipeout) by the end of this year, the ETF-era market structure suggests we may have "re-engineered" the asset's DNA. Pt 1: Drawdown DNA acts as our first telemetry check, auditing the "Structural Fatigue" of every correction to see if we are taking a tactical pit stop or heading for a catastrophic crash.
How to Read the Telemetry
Think of the Bitcoin market as a Formula 1 engine. This indicator audits the "Wear and Tear" (drawdowns) to see if the chassis can sustain its pace or if the structural integrity is failing as we approach the legacy "finish line."
• Vibrant Green (Institutional Sync): Optimal Performance. The engine is healthy. Pullbacks are shallow (-20% to -35% range), representing professional re-fueling stops by smart money. This suggests the "Supercycle" narrative is overriding the 4-year clock.
• Red/Dark Blue (Regime Decay): Loss of Traction. The "Institutional" heartbeat is weakening. Volatility is rising as the engine stalls, drifting back toward the chaotic, un-buffered "Drift" patterns of the retail era.
• Blue Shaded Zones (Legacy DNA): SYSTEMIC CRASH. The price has breached the -50% "G-Force Threshold." At this depth, the correction carries the genetic makeup of a Legacy Bear Market (historically bottoming near -80%). The 4-year cycle is still very much alive—and it's painful.
Behind the Math: ECU Tuning
This script is an original quantitative work utilizing Gaussian Probability Density logic to categorize market drawdowns into distinct historical regimes.
Instead of simple binary "on/off" logic, the code acts like an ECU (Electronic Control Unit) , calculating the mathematical "fit" of the current drawdown against a specific Institutional Mean (-25%) . Why 25%? I chose -25% as the Institutional DNA anchor based on the structural shift observed between 2023 and 2025. While legacy retail cycles were defined by violent 30-40% "shakeouts" during bull phases, the introduction of spot ETFs and corporate treasury adoption has significantly compressed volatility. A -25% correction now represents the maximum "healthy" absorption of sell-side liquidity by institutional "bids." Staying near this level maintains high aerodynamic sync; dropping further suggests the chassis is failing.
How it Audits the Regime
The closer the price stays to this -25% target, the higher the Integrity Score (10/10). By providing unique "DNA Match" calculations and background shading based on specific threshold crossings, this indicator provides utility beyond standard price-change indicators. It allows you to mathematically distinguish between an "Institutional Rebalancing" and the start of a "Legacy Cycle-Ending Termination."
User Inputs & Navigation
• Rolling High Lookback: Default 52 Weeks . Defines our diagnostic lap. It ensures the audit focuses on the current race, not the entire history of the track.
• Inst. Drawdown Target: Default -25% . The "Perfect Pit Stop." Corrections near this level maintain the highest aerodynamic sync.
• Legacy Threshold: Default -50% . The "Point of No Return" where the engine enters total failure and the Blue Legacy Shading triggers.
• Legacy Crash Target: Default -80% . The historical baseline for previous 4-year cycle bear market floors (Expected mid-to-late 2026 in legacy models).
Instructions & Performance
• Preferred Timeframe: This is a macro-telemetry tool. It performs best on Weekly (1W) or Daily (1D) charts.
• The Dashboard: Monitor the INST. DNA MATCH in the table. A score of 8.0+ / 10 provides the "Green Light" that the Supercycle is still the primary driver, effectively breaking the 4-year "Crash" script.
Disclaimer
Trading and investing in digital assets involve significant risk. The Cycle Integrity Index (CII) is a quantitative tool for informational and educational purposes only. Past performance does not guarantee future results. This is not financial advice. Your capital is at risk.
Tags
robmaths, Rob Maths, Bitcoin, CycleTheory, Institutional, Drawdown, Quant, RegimeShift, CII
Check out my published scripts here: de.tradingview.com
OTE Visualizer by AvenoirOTE Visualizer by Avenoir - Premium Fib-Based Structure Mapping
OTE Visualizer by Avenoir is a clean, modern market-structure indicator designed to automatically detect and visualize Optimal Trade Entry (OTE) zones using true ICT-style fib logic.
It identifies valid bullish and bearish impulse legs based on swing structure, then plots discount and premium retracement zones for high-probability entries.
This tool is built for precision, clarity, and algorithmic consistency.
🔶 Key Features
✔ Automatic OTE Zones (Bullish & Bearish)
Bullish OTE = deep discount zone from the prior swing low → swing high
Bearish OTE = deep premium zone from the prior swing high → swing low
Uses exact retracement levels: 62% – 79%, with optional 70.5% midline
✔ Active vs Old OTE Visualization
The most recent OTE is highlighted
Older OTE zones are automatically:
Faded, or
Completely hidden (optional toggle)
This keeps charts clean while maintaining structure awareness.
✔ Swing Structure Detection
Uses pivot-based swing identification
Tracks swing highs/lows and builds legs only when structure is valid
Optional labels for swing points
✔ Impulse Leg Lines
Draws the actual impulse leg used for OTE generation
Shows exactly which high/low produced the zone
Helps traders understand the logic behind each OTE
✔ BOS (Break of Structure) Detection
Marks BOS↑ when price closes above the previous swing high
Marks BOS↓ when price closes below the previous swing low
Useful confirmation for shift in market direction
✔ ATR-Based Impulse Filtering
Optional filter to ensure OTEs only form on significant moves:
Choose ATR length
Choose minimum impulse size (ATR multiples)
Removes noise and minor swings
Produces cleaner, more reliable OTE zones
✔ Fully Customizable Visuals
Choose any colors
Adjust opacity
Show/hide individual elements
Clean, minimalist aesthetic that blends beautifully into charts
🎯 Ideal For
ICT / Smart Money Concepts traders
Algo/systematic traders
Scalpers to swing traders
Anyone wanting clear structure-based OTE zones
Traders building automated or rule-based trading models
📌 How to Use
Identify trend direction
Wait for a bullish or bearish BOS
Watch for price to retrace into the active OTE zone
Combine with liquidity sweeps, displacement candles, FVGs, or other SMC/ICT techniques
Execute trades in premium/discount areas with strong context
✨ Final Notes
This indicator is built for precision and clarity.
It does not repaint and provides an objective, consistently structured view of OTE zones across any market or timeframe.
For traders who rely on execution models, structural mapping, and disciplined entries, this is your new foundation tool.
Killzones [Tradeuminati]Killzones is a precise TradingView indicator designed to display the most important institutional trading windows (“Killzones”) based strictly on New York local time.
The indicator focuses on accurate session timing, automatic asset classification, and stable chart behavior without affecting price scale or candle colors.
🔹 Included Killzones (NY Local Time)
London Killzone
02:00 – 05:00
New York Killzone (AM)
Indices & Index CFDs: 09:30 – 11:00
All other assets (Forex, Crypto, Commodities such as Gold, DXY): 07:00 – 10:00
New York PM Killzone
14:00 – 15:00
🔹 Asset Logic (Fully Automatic & Locked)
- Indices and Index CFDs are detected automatically
- Forex, Crypto, Commodities (e.g. Gold/XAUUSD, DXY) always use the 07:00–10:00 New York Killzone
- Stocks (Equities) are completely excluded
→ no lines, no table, no status display
This ensures the indicator is purpose-built for intraday trading in highly liquid markets and intentionally not designed for stock charts.
🔹 Chart Visualization
- Vertical session lines are drawn statically at the start of each New York trading day
- Lines are not dependent on bar timestamps
- No distortion of the price scale
- Session lines are shown only on intraday timeframes below 4H
- Line color, width, and style are fully adjustable
🔹 Status Table (Top Right)
- Clear overview of all Killzones with start and end times
- Live status indicator (green/red) based on the real current time (timenow), not the last printed candle
- The table remains visible on all timeframes (except stocks)
🔹 Technical Highlights
- Pure New York time–based logic, independent of chart timezone
- No future-bar plotting
- Stable across different brokers and CFD feeds
- Does not interfere with other indicators or candle coloring
⚠️ Disclaimer
This indicator is intended for technical analysis only and does not constitute trading or investment advice.
Bear & Bull Builder // visual strategy builderAre you a trend follower?
Trend following systems have been a cornerstone of trading since the first candlestick charts were invented in 18th-century Japan by Munehisa Homma (or Honma), a legendary rice merchant who used them to analyze market sentiment and predict price movements. Since then, legendary traders like Richard Dennis and Dr. David Paul have used technical analysis—the study of turning points and trends of candlestick charts—to develop an edge and strategy for trading equity, commodity, and forex markets.
How to Utilize the Bear & Bull Builder
This script is a way to pick and choose technical methods like SMAs and EMAs to define trend exits and entries. Additionally, you can specify an ATR (Average True Range) calculated stop loss based on your individual strategy and trading plan. Within the settings panel, you can set up this script to display only Long Position values, zones, and levels—or configure it for shorts, or both.
What Makes This Original
Unlike most trend-following indicators that lock you into a single approach, this script lets you combine different indicator types (RSI, WaveTrend, CCI, EMA, SMA) across three separate trend timeframes. The originality comes from the flexibility: you can test whether momentum-based trends (like RSI) work better than moving averages for your timeframe, or experiment with mixing them together. The script also bridges the gap between manual trading and automation by providing visual position values and fill zones that show exactly where signals generate versus where orders execute—critical information most scripts ignore.
Getting Started
For this quick and easy setup example, I built a strategy that is long-only, displays only long positional data and values, and uses a 21 & 55 period exponential moving average for the short and medium-term trend in addition to an 89 period simple moving average for my longer-term outlook. I have set my ATR-based multiplier to 0.75, and have left the fill zone display turned on to help visualize when to set up the built-in alerts for automating my strategy. I have made this the default settings of the script.
Positional Values
GREEN NUMBERS → Entry signal price
YELLOW NUMBERS → Stop loss price
BLUE NUMBERS → Exit signal price
IMPORTANT
I cannot describe how useful it is to use TradingView's built-in Long and Short position tools! The whole reason for this script is that it is as manually friendly as it is automated—especially for backtesting. You can use the long position tool to measure exact profits and losses on individual trades for the strategies you build. This can really help you see clearly if you have built a system with positive expectancy.
Tables
1. Settings Display Table
Displays the trend types that are configurable in the settings panel. Shows if positional values for longs and shorts are currently displayed.
2. Back testing Table
Displays the total amount of long and short entry signals since the first bar of the chart. Additionally, it displays the average amount of bars per trade (time in trade).
Alerts & Automation
There are 4 built-in alerts for automating your strategy to an external server:
1.Long Entries
2.Long Exits
3.Short Entries
4.Short Exits
Since this script uses confirmed bar states for alert generation (to avoid repainting), all alerts and displayed position values (the green, yellow, and blue numbers) will be sent on the closing price. Each alert has a placeholder preset for further customization.
Technical Details
How the trend detection works:
Bullish state triggers when close > all three selected trends
Bearish state triggers when close < all three selected trends
Uses barstate.isconfirmed to prevent repainting
Stop loss calculation:
Long stops: highest_trend - (ATR × multiplier)
Short stops: lowest_trend + (ATR × multiplier)
ATR period is fixed at 20 bars, multiplier is user-adjustable
Entry placement logic:
Long entries execute at the highest value among the three selected trends
Short entries execute at the lowest value among the three selected trends
This ensures entries occur near the support/resistance created by the trend lines
Why calculate all indicators upfront:
The script calculates all five indicator types (EMA, SMA, RSI, CCI, WaveTrend) for all three trend lengths on every bar, then selectively uses the ones you choose in settings. This prevents Pine Script consistency warnings while maintaining flexibility.
LBMA London Gold Fix Times [Auto DST]## Overview
This lightweight indicator automatically marks the **LBMA Gold Price Fixing** times on your chart using vertical lines. It is designed specifically for **XAUUSD (Gold)** traders who need to monitor institutional liquidity and volatility shifts during the London session.
The indicator tracks the two key daily fixing moments:
* **AM Fix:** 10:30 (London Time)
* **PM Fix:** 15:00 (London Time)
## Key Features
* **🌍 Auto Daylight Saving Time (DST):** Built with the `Europe/London` timezone parameter. It automatically adjusts to British Summer Time (BST) and GMT, so you never have to manually change the UTC offset settings.
* **⚡ Minimalist Design:** Draws clean vertical lines without cluttering your chart with text labels.
* **🎨 Fully Customizable:** You can adjust the line color, width, and style (Solid, Dashed, Dotted) for both AM and PM sessions independently.
## Why are these times important?
The London Gold Fix (LBMA Gold Price) is the global benchmark for physical gold settlement. Major institutions, central banks, and mining companies settle contracts at these times. Consequently, **10:30** and **15:00** (London time) often witness:
1. Significant spikes in volatility.
2. Trend reversals or accelerations.
3. Massive volume injection.
## Usage Tips
* **Timeframe:** This indicator works best on **Intraday Timeframes** (1-minute to 30-minute charts).
* *Note:* It may not be visible on H1 (1-hour) charts or higher because the fix times (e.g., 10:30) occur in the middle of an hourly candle.
* **Setup:** Simply add it to your chart. No timezone configuration is required; the script calculates London time internally.
## Settings
* **AM Fix Color:** Default is Blue (London Morning).
* **PM Fix Color:** Default is Red (London Afternoon/US Morning overlap).
* **Line Style:** Choose between Solid, Dashed, or Dotted lines.
概述 (Overview)
这是一个轻量级的辅助指标，通过垂直线在图表上自动标记 LBMA 伦敦金定盘价（LBMA Gold Price Fixing） 的时刻。它是专为 XAUUSD（黄金） 交易者设计的，旨在帮助大家捕捉伦敦时段内机构流动性和市场波动的关键节点。
该指标会自动锁定每天两个核心的定盘时间：
上午定盘 (AM Fix): 10:30 (伦敦时间)
下午定盘 (PM Fix): 15:00 (伦敦时间)
主要功能 (Key Features)
🌍 自动识别夏令时 (Auto DST): 代码内置 Europe/London 时区参数。无论英国处于夏令时 (BST) 还是冬令时 (GMT)，指标都会自动精准对齐，无需用户手动调整时区设置。
⚡ 极简主义设计: 仅绘制干净的垂直线，不显示任何文字标签，避免遮挡K线或干扰视线。
🎨 高度可定制: 您可以独立调整上午和下午定盘线的颜色、粗细以及样式（实线、虚线或点线）。
为什么要关注这两个时间点？
LBMA 伦敦金定盘价是全球实物黄金结算的基准价格。大型金融机构、中央银行和金矿公司通常会在这个时间点集中进行合约结算。因此，在伦敦时间 10:30 和 15:00 前后，市场经常会出现：
波动率瞬间激增。
短期趋势的反转或加速。
巨量成交量的涌入。
使用建议 (Usage Tips)
适用周期: 建议在 日内分时图（1分钟、5分钟、15分钟或30分钟）上使用。
注意: 在 1小时 (H1) 或更大的周期上，线条可能无法显示，因为定盘时间（如 10:30）发生在整点K线的内部，无法被单独标记。
设置方法: 加载指标即可使用。无论您本地电脑的时间设置如何，脚本内部会自动计算正确的伦敦时间。
参数设置 (Settings)
AM Fix Color: 上午定盘线颜色（默认为蓝色）。
PM Fix Color: 下午定盘线颜色（默认为红色，此时往往也是美盘初期的波动高峰）。
Line Style: 线条样式选择（实线、虚线、点线）。
Multi-Timeframe Volume Profile - Auto HVN WallsMulti-Timeframe Volume Profile - Auto HVN Walls
Overview This indicator provides a highly flexible Volume Profile solution that operates across multiple timeframes (Session, Weekly, Monthly, Yearly). Unlike standard profiles, this tool features a unique "Auto HVN Wall" detection system. It automatically identifies meaningful High Volume Nodes (HVNs) within the profile structure and extends them forward as potential support and resistance zones, creating a dynamic map of market structure as it develops.
Key Features
Multi-Timeframe Support: Switch seamlessly between Session, Weekly, Monthly, and Yearly profiles.
Auto HVN Walls (Structure Detection): The script analyzes the profile shape in real-time. When it detects significant clusters of volume (HVNs), it automatically draws extended lines ("walls"). These walls often act as magnets or support/resistance levels where price has previously found acceptance.
Session Filtering: When in "Session" mode, you can define specific time windows (e.g., 0930-1615) to isolate Regular Trading Hours (RTH) volume, ignoring overnight data.
Auto-Scaling Width (Monthly Mode): For Monthly profiles, the histogram width dynamically changes throughout the month. It starts wide at the beginning of the month to be visible and gradually narrows as the month progresses, keeping your chart clean.
High Precision: Uses lower timeframe data (user-selectable) to build the profile, ensuring accuracy even on higher timeframe charts.
Alerts: Built-in alert conditions for price crossing the developing POC, VAH, or VAL.
How It Works
Data Accumulation: The script fetches lower timeframe volume and price data (e.g., 5-minute data on a 1-hour chart) to construct a precise volume histogram.
Wall Detection: It runs a smoothing algorithm over the volume profile. If a price level accumulates volume significantly higher than the average (controlled by the Volume Threshold Multiplier), it marks that level as a "Wall" and extends it.
Value Area: Standard Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) are calculated and displayed for the selected period.
Settings Guide
Profile Period: Choose between Session, Weekly, Monthly, or Yearly.
Session Time: (Only active in "Session" mode) Define the start and end times for the profile (e.g., 0930-1615).
Calculation Precision: Determines the lower timeframe used to build the profile. Lower is more precise but may load slower.
The Walls:
Smoothing Factor: How much to smooth the volume data before finding walls. Higher = fewer, more significant walls.
Volume Threshold: How much volume is needed to trigger a wall.
Extend Walls: If checked, walls extend infinitely to the right.
Auto-Scale Width: (Monthly Only) dynamically adjusts the profile width based on the day of the month.
Use Case This tool is ideal for auction market theorists and volume profile traders who want to visualize where value is building in real-time and identify "sticky" price levels (Walls) where the market is likely to rotate or consolidate.
Disclaimer This script and the information presented here are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading signals. Trading in financial markets involves a significant risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. Use this tool at your own discretion and risk.
Chainbey Ai - Previous Day High & Low📌 Chainbey Ai – Previous Day High & Low (Source Candle)
This indicator automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) on any intraday chart, starting from the exact candle where those levels were formed — not from the new day open. This removes visual gaps and gives a more accurate market structure view.
🔹 Key Features
✅ Accurate PDH & PDL levels based on the full previous trading day
🎯 Lines start from the actual high/low candle (no artificial gap)
🏷️ Optional PDH / PDL labels placed directly on source candles
🟦 Optional range background fill between PDH and PDL
📊 Works perfectly on 5m, 15m, 30m, 1H intraday charts
⚡ Lightweight, clean, and repaint-safe
🧠 Best Use Cases
Liquidity sweep & stop-hunt detection
Breakout vs fake-breakout analysis
Support / resistance from prior session
London & New York session bias confirmation
⚠️ Notes
Levels are calculated using the broker’s daily session
Designed for intraday trading, not daily/weekly charts
Volume-Weighted Price Z-Score [QuantAlgo]🟢 Overview
The Volume-Weighted Price Z-Score indicator quantifies price deviations from volume-weighted equilibrium using statistical standardization. It combines volume-weighted moving average analysis with logarithmic deviation measurement and volatility normalization to identify when prices have moved to statistically extreme levels relative to their volume-weighted baseline, helping traders and investors spot potential mean reversion opportunities across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volume-weighted statistical approach, where price displacement is measured through normalized deviations from volume-weighted price levels:
volumeWeightedAverage = ta.vwma(priceSource, lookbackPeriod)
logDeviation = math.log(priceSource / volumeWeightedAverage)
volatilityMeasure = ta.stdev(logDeviation, lookbackPeriod)
The script uses logarithmic transformation to capture proportional price changes rather than absolute differences, ensuring equal treatment of percentage moves regardless of price level:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
First, it establishes the volume-weighted baseline which gives greater weight to price levels where significant trading occurred, creating a more representative equilibrium point than simple moving averages.
Then, the logarithmic deviation measurement converts the price-to-average ratio into a normalized scale:
logDeviation = math.log(priceSource / volumeWeightedAverage)
Next, statistical normalization is achieved by dividing the deviation by its own historical volatility, creating a standardized z-score that measures how many standard deviations the current price sits from the volume-weighted mean.
Finally, EMA smoothing filters noise while preserving the signal's responsiveness to genuine market extremes:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
This creates a volume-anchored statistical oscillator that combines price-volume relationship analysis with volatility-adjusted normalization, providing traders with probabilistic insights into market extremes and mean reversion potential based on standard deviation thresholds.
🟢 Signal Interpretation
▶ Positive Values (Above Zero): Price trading above volume-weighted average indicating potential overvaluation relative to volume-weighted equilibrium = Caution on longs, potential mean reversion downward = Short/sell opportunities
▶ Negative Values (Below Zero): Price trading below volume-weighted average indicating potential undervaluation relative to volume-weighted equilibrium = Caution on shorts, potential mean reversion upward = Long/buy opportunities
▶ Zero Line Crosses: Mean reversion transitions where price crosses back through volume-weighted equilibrium, indicating shift from overvalued to undervalued (or vice versa) territory
▶ Extreme Positive Zone (Above +2.5σ default): Statistically rare overvaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bullish conditions with high mean reversion probability = Strong correction warning/short signal
▶ Extreme Negative Zone (Below -2.5σ default): Statistically rare undervaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bearish conditions with high mean reversion probability = Strong buying opportunity signal
▶ ±1σ Reference Levels: Moderate deviation zones (±1 standard deviation) marking common price fluctuation boundaries where approximately 68% of price action occurs under normal distribution
▶ ±2σ Reference Levels: Significant deviation zones (±2 standard deviations) marking unusual price extremes where approximately 95% of price action should be contained under normal conditions
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets accommodate different analytical approaches, instruments and timeframes. "Default" provides balanced statistical measurement suitable for swing trading and daily/4-hour analysis, offering deviation detection with moderate responsiveness to price dislocations. "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 15-minute to 1-hour charts, using shorter statistical windows and minimal smoothing to capture rapid mean reversion opportunities as they develop. "Smooth Trend" offers conservative extreme identification ideal for position trading on daily to weekly charts, employing extended statistical periods and heavy noise filtering to isolate only the most significant market extremes.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of statistical extremes and mean reversion events. Extreme Overbought triggers when z-score crosses above the extreme threshold (default +2.5σ) signaling rare overvaluation, Extreme Oversold activates when z-score crosses below the negative extreme threshold (default -2.5σ) signaling rare undervaluation. Exit Extreme Overbought and Exit Extreme Oversold alert when prices begin reverting from these statistical extremes back toward the mean. Bullish Mean Reversion notifies when z-score crosses above zero indicating shift to overvalued territory, while Bearish Mean Reversion triggers on crosses below zero indicating shift to undervalued territory. Any Extreme Level provides a combined alert for any extreme threshold breach regardless of direction. These notifications allow you to capitalize on statistically significant price dislocations without continuous chart monitoring.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying positive versus negative deviations across trading environments. The adjustable fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the z-score line and zero baseline, with higher opacity values creating subtle background context while lower values produce bold deviation emphasis. Optional bar coloring extends the z-score gradient directly to the indicator pane bars, providing immediate visual reinforcement of current deviation magnitude and direction without requiring reference to the plotted line itself.
*Note: This indicator requires volume data to function correctly, as it calculates deviations from a volume-weighted price average. Tickers with no volume data or extremely limited volume will not produce meaningful results, i.e., the indicator may display flat lines, erratic values, or fail to calculate properly. Using this indicator on assets without volume data (certain forex pairs, synthetic indices, or instruments with unreported/unavailable volume) will produce unreliable or no results at all. Additionally, ensure your chart has sufficient historical data to cover the selected lookback period, e.g., using a 100-bar lookback on a chart with only 50 bars of history will yield incomplete or inaccurate calculations. Always verify your chosen ticker has consistent, accurate volume information and adequate price history before applying this indicator.
Cosmic Volume Analyzer [JOAT]
Cosmic Volume Analyzer - Astrophysics Edition
Overview
Cosmic Volume Analyzer is an open-source oscillator indicator that applies astrophysics-inspired concepts to volume analysis. It classifies volume into buy/sell categories, calculates volume flow, detects accumulation/distribution phases, identifies climax volume events, and uses gravitational and stellar mass analogies to visualize volume dynamics.
What This Indicator Does
The indicator calculates and displays:
Volume Classification - Categorizes each bar as CLIMAX_BUY, CLIMAX_SELL, HIGH_BUY, HIGH_SELL, NORMAL_BUY, or NORMAL_SELL
Volume Flow - Percentage showing buy vs sell pressure over a lookback period
Buy/Sell Volume - Separated volume based on candle direction
Accumulation/Distribution - Phase detection using Money Flow Multiplier
Volume Oscillator - Fast vs slow volume EMA comparison
Gravitational Pull - Volume-weighted price attraction metric
Stellar Mass Index - Volume ratio combined with price momentum
Black Hole Detection - Identifies extremely low volume periods (liquidity voids)
Supernova Events - Detects extreme volume with extreme price movement
Orbital Cycles - Sine-wave based cyclical visualization
How It Works
Volume classification uses volume ratio and candle direction:
classifyVolume(series float vol, series float close, series float open) =>
float avgVol = ta.sma(vol, 20)
float volRatio = avgVol > 0 ? vol / avgVol : 1.0
if volRatio > 1.5
if close > open
classification := "CLIMAX_BUY"
else
classification := "CLIMAX_SELL"
else if volRatio > 1.2
// HIGH_BUY or HIGH_SELL
else
// NORMAL_BUY or NORMAL_SELL
Volume flow separates buy and sell volume over a period:
calculateVolumeFlow(series float vol, series float close, simple int period) =>
float currentBuyVol = close > open ? vol : 0.0
float currentSellVol = close < open ? vol : 0.0
// Accumulate in buffers
float flow = (buyVolume - sellVolume) / totalVol * 100
Accumulation/Distribution uses the Money Flow Multiplier:
float mfm = ((close - low) - (high - close)) / (high - low)
float mfv = mfm * vol
float adLine = ta.cum(mfv)
if adLine > adEMA and ta.rising(adLine, 3)
phase := "ACCUMULATION"
else if adLine < adEMA and ta.falling(adLine, 3)
phase := "DISTRIBUTION"
Gravitational pull uses volume-weighted price distance:
gravitationalPull(series float vol, series float price, simple int period) =>
float massCenter = ta.vwma(price, period)
float distance = math.abs(price - massCenter)
float mass = vol / ta.sma(vol, period)
float gravity = distance > 0 ? mass / (distance * distance) : 0.0
Signal Generation
Signals are generated based on volume conditions:
Buy Climax: Volume exceeds 2 standard deviations above average on bullish candle
Sell Climax: Volume exceeds 2 standard deviations above average on bearish candle
Strong Buy Flow: Volume flow exceeds positive threshold (default 45%)
Strong Sell Flow: Volume flow exceeds negative threshold (default -45%)
Supernova: Volume 3x average AND price change 3x average
Black Hole: Volume 2 standard deviations below average
Dashboard Panel (Top-Right)
Volume Class - Current volume classification
Volume Flow - Buy/sell flow percentage
Buy Volume - Accumulated buy volume
Sell Volume - Accumulated sell volume
A/D Phase - ACCUMULATION/DISTRIBUTION/NEUTRAL
Volume Strength - Normalized volume strength
Gravity Pull - Current gravitational metric
Stellar Mass - Current stellar mass index
Cosmic Field - Combined cosmic field strength
Black Hole - Detection status and void strength
Signal - Current actionable status
Visual Elements
Volume Ratio Columns - Colored bars showing normalized volume
Volume Flow Line - Main oscillator showing flow direction
Flow EMA - Smoothed flow for trend reference
Volume Oscillator - Area plot showing fast/slow comparison
Gravity Field - Area plot showing gravitational pull
Orbital Cycle - Circle plots showing cyclical pattern
Stellar Mass Line - Line showing mass index
Climax Markers - Fire emoji for buy climax, snowflake for sell climax
Supernova Markers - Diamond shapes for extreme events
Black Hole Markers - X-cross for liquidity voids
A/D Phase Background - Subtle background color based on phase
Input Parameters
Volume Period (default: 20) - Period for volume calculations
Distribution Levels (default: 5) - Granularity of distribution analysis
Flow Threshold (default: 1.5) - Multiplier for flow significance
Accumulation Period (default: 14) - Period for A/D calculation
Gravitational Analysis (default: true) - Enable gravity metrics
Black Hole Detection (default: true) - Enable void detection
Stellar Mass Calculation (default: true) - Enable mass index
Orbital Cycles (default: true) - Enable cyclical visualization
Supernova Detection (default: true) - Enable extreme event detection
Suggested Use Cases
Identify accumulation phases for potential long entries
Watch for distribution phases as potential exit signals
Use climax volume as potential exhaustion indicators
Monitor volume flow for directional bias
Avoid trading during black hole (low liquidity) periods
Watch for supernova events as potential trend acceleration
Timeframe Recommendations
Best on 15m to Daily charts. Volume analysis requires sufficient trading activity for meaningful readings.
Limitations
Volume data quality varies by exchange and instrument
Buy/sell separation is based on candle direction, not actual order flow
Astrophysics concepts are analogies, not literal physics
A/D phase detection may lag during rapid transitions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Custom Weekly Volume Profile [Multi-Timeframe]Description: This indicator renders a high-precision Weekly Volume Profile that resets at the start of every trading week. Unlike standard fixed-range profiles, this script builds the profile bar-by-bar using lower timeframe data (e.g., 1-minute or 5-minute data) to ensure accuracy even on higher timeframe charts.
It is designed for traders who track the developing value of the current week (Auction Market Theory) and need specific alerts when price tests the edges of value.
Key Features:
Developing Weekly Profile:
The profile resets automatically at the beginning of the week (Sunday/Monday).
It tracks the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) in real-time as the week progresses.
Previous Week Levels:
The script automatically stores the final levels (POC, VAH, VAL) of the previous week and projects them forward. This allows you to trade tests of the prior week's value.
Auto-Scaling Histogram:
Smart Width: The profile starts wider at the beginning of the week (when data is sparse) and automatically shrinks as the week progresses (Thursday/Friday) to keep your chart clean and readable.
Advanced Alerting:
Crossover Alerts: Trigger alerts when price crosses the developing VAH/VAL or the previous week's levels.
Time Window Filter: Includes a session input (default 08:30-15:00) to restrict alerts to specific trading hours, preventing notifications during low-volume overnight sessions.
Customization:
Precision: Adjustable "Row Size" and "Calculation Timeframe" to tune performance vs. accuracy.
Visuals: Full color control over the Value Area, Outer Volume, and Level Lines.
Settings:
Calculation Precision: Determines the lower timeframe used to calculate the volume (e.g., set to "5" for 5-minute precision).
Value Area %: Default is 70%, standard for AMT trading.
Timezone: Adjustable to ensure the weekly reset aligns with your local exchange time (e.g., America/Chicago for CME Futures).
Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or a solicitation to buy or sell any financial instrument. Trading futures and other financial markets involves significant risk and is not suitable for every investor. Past performance of any trading system or methodology is not necessarily indicative of future results. The user assumes all responsibility for any trading decisions made based on the information provided by this tool. Use at your own risk.
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
Entropy Balance Oscillator [JOAT]
Entropy Balance Oscillator - Chaos Theory Edition
Overview
Entropy Balance Oscillator is an open-source oscillator indicator that applies chaos theory concepts to market analysis. It calculates market entropy (disorder/randomness), balance (price position within range), and various chaos metrics to identify whether the market is in an ordered, chaotic, or balanced state. This helps traders understand market regime and adjust their strategies accordingly.
What This Indicator Does
The indicator calculates and displays:
Entropy - Measures market disorder using return distribution analysis
Balance - Price position within the high-low range, normalized to -1 to +1
Lyapunov Exponent - Estimates sensitivity to initial conditions (chaos indicator)
Hurst Exponent - Measures long-term memory in price series (trend persistence)
Strange Attractor - Simulated attractor points for visualization
Bifurcation Detection - Identifies potential regime change points
Chaos Index - Combined entropy and volatility score
Market Phase - Classification as CHAOS, ORDER, or BALANCED
How It Works
Entropy is calculated using return distribution:
calculateEntropy(series float price, simple int period) =>
// Calculate returns and their absolute values
// Sum absolute returns for normalization
// Apply Shannon entropy formula: -sum(p * log(p))
float entropy = 0.0
for i = 0 to array.size(returns) - 1
float prob = math.abs(array.get(returns, i)) / sumAbs
if prob > 0
entropy -= prob * math.log(prob)
entropy
Balance measures price position within range:
calculateBalance(series float high, series float low, series float close, simple int period) =>
float range = high - low
float position = (close - low) / (range > 0 ? range : 1)
float balance = ta.ema(position, period)
(balance - 0.5) * 2 // Normalize to -1 to +1
Lyapunov Exponent estimates chaos sensitivity:
lyapunovExponent(series float price, simple int period) =>
float sumLog = 0.0
for i = 1 to period
float ratio = price > 0 ? math.abs(price / price ) : 1.0
if ratio > 0
sumLog += math.log(ratio)
lyapunov := sumLog / period
Hurst Exponent measures trend persistence:
H > 0.5: Trending/persistent behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting behavior
Signal Generation
Phase changes and extreme conditions generate signals:
Chaos Phase: Normalized entropy exceeds chaos threshold (default 0.7)
Order Phase: Normalized entropy falls below order threshold (default 0.3)
Extreme Chaos: Entropy exceeds 1.5x chaos threshold
Extreme Order: Entropy falls below 0.5x order threshold
Bifurcation: Variance exceeds 2x average variance
Dashboard Panel (Top-Right)
Market Phase - Current phase (CHAOS/ORDER/BALANCED)
Entropy Level - Normalized entropy value
Balance - Current balance reading (-1 to +1)
Chaos Index - Combined chaos score percentage
Volatility - Current price volatility
Lyapunov Exp - Lyapunov exponent value
Hurst Exponent - Hurst exponent value
Chaos Score - Overall chaos assessment
Status - Current market status
Visual Elements
Entropy Line - Main oscillator showing normalized entropy
Entropy EMA - Smoothed entropy for trend reference
Balance Area - Filled area showing balance direction
Chaos/Order Thresholds - Horizontal dashed lines
Lyapunov Line - Step line showing Lyapunov exponent
Strange Attractor - Circle plots showing attractor points
Phase Space - Line showing phase space reconstruction
Phase Background - Background color based on current phase
Extreme Markers - X-cross for extreme chaos, diamond for extreme order
Bifurcation Markers - Circles at potential regime changes
Input Parameters
Entropy Period (default: 20) - Period for entropy calculation
Balance Period (default: 14) - Period for balance calculation
Chaos Threshold (default: 0.7) - Threshold for chaos phase
Order Threshold (default: 0.3) - Threshold for order phase
Lyapunov Exponent (default: true) - Enable Lyapunov calculation
Hurst Exponent (default: true) - Enable Hurst calculation
Strange Attractor (default: true) - Enable attractor visualization
Bifurcation Detection (default: true) - Enable bifurcation detection
Suggested Use Cases
Identify market regime for strategy selection (trend-following vs mean-reversion)
Watch for phase changes as potential trading environment shifts
Use Hurst exponent to assess trend persistence
Monitor chaos index for volatility regime awareness
Avoid trading during extreme chaos phases
Timeframe Recommendations
Best on 1H to Daily charts. Chaos metrics require sufficient data for meaningful calculations.
Limitations
Chaos theory concepts are applied as analogies, not rigorous mathematical implementations
Lyapunov and Hurst calculations are simplified approximations
Strange attractor visualization is conceptual
Bifurcation detection uses variance as proxy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Price % Distance from 52 Weeks High, and EMAs"Stop guessing how far extended the price is—measure it instantly."
As a swing trader, knowing the exact distance between the current price and your key moving averages is critical. It tells you if a stock is overextended (too far) or offering a low-risk pullback entry (near 0%).
This lightweight utility script calculates the real-time percentage distance of the closing price from three critical levels:
10 EMA (Short-term momentum)
20 EMA (Swing trend baseline)
52-Week High (Major structural resistance)
It displays this data in a single, clean Smart Label attached to the latest candle, keeping your chart clutter-free.
Key Features
📊 Instant Calculation: See exactly how far (%) the price is from the 10 EMA, 20 EMA, and 52-Week High without using a measuring tool.
🧠 Intelligent Trend Coloring: The text color changes dynamically based on the immediate trend:
🟢 Green Text: Price is ABOVE both 10 & 20 EMAs (Bullish / Buy-the-dip zone).
🔴 Red Text: Price is BELOW both 10 & 20 EMAs (Bearish / Caution).
⚪ White Text: Price is mixed/choppy (between the EMAs).
👁️ High Contrast Design: Uses a semi-transparent dark background that ensures the data is clearly visible on both Light and Dark mode charts.
How to Use for Swing Trading
Pullback Entries: In a strong uptrend (Green Text), watch for the 10 EMA or 20 EMA % value to drop near 0.0% to 0.5%. This indicates a pullback to the average—often a high-probability entry point.
Overextension Warning: If the % distance becomes unusually large (e.g., Price is +5% above the 10 EMA), the move may be overextended, signaling to tighten stops or take profit.
52-Week Breakouts: Monitor the 52W % distance. As it approaches 0.0%, the stock is challenging its yearly high, alerting you to potential breakout plays.
Settings
EMA Lengths: Fully customizable (Default: 10 & 20).
Lookback: Adjust the high lookback period (Default: 260 bars for 52 Weeks).
Position: Toggle the label to appear Above or Below the candle.
deKoder | VWAP | Volume Weighted Average PriceAn advanced, open-source Volume Weighted Average Price indicator with multi-period anchoring, standard deviation bands, previous period value area extension, comprehensive alerts, and enhanced visual context.
This script is a significant upgrade over standard VWAP implementations (including TradingView's built-in VWAP (the basis for this script) and typical community versions). It is designed for experienced intraday, swing, and positional traders who require precise, context-aware mean reference levels with minimal chart clutter.
Key Features & Trading Value
1 | Previous Period Value Area Extension
Automatically extends the prior anchor period's VWAP and ±1σ bands into the current period as reference lines.
Optional translucent fill between the previous ±1σ bands creates a clear "previous value area" zone.
Why it matters : The edges of the prior period's value area often act as dynamic support/resistance or mean reversion zones. This visual persistence eliminates manual drawing and provides immediate context for reactions at prior fair value zones. These are especially powerful on intraday charts when using Daily/Weekly/Quarterly anchors.
2 | Comprehensive Approach Alerts
Configurable proximity-based alerts trigger when price approaches (from either side) any plotted level: current VWAP, all six deviation bands (±1σ, ±2σ, ±3σ), and previous period VWAP/±1σ value area.
Adjustable trigger percentage and minimum bar cooldown prevent alert spam during consolidation.
Why it matters : Enables hands-off monitoring of potential mean reversion setups, deviation extremes, or breakout/rejection candidates without constant screen watching.
3 | Additional Professional-Grade Enhancements
Flexible Anchor Periods : Daily, Weekly, Monthly, Quarterly (default), Yearly, Decade, Century, plus event-based resets (Earnings, Dividends, Splits).
Intelligent Visibility Controls :
Hide entire indicator on selected higher timeframes (1H and above).
Dynamic distance filter removes off-screen levels (based on % from price).
Limit plotting to last X bars for performance and clarity.
Real-Time Info Table :
Displays current anchor, timeframe, and rounded live values for VWAP and all bands, enabling fast access to precise level values for order placement.
Fully customisable position, text size, font (monospace option), and price level decimal rounding.
Right-Side Labels with Tooltips :
Clean, minimal labels at current levels with hover tooltips allow you to quickly identify the level without cluttering the chart.
Customizable Styling :
Independently adjustable colours for VWAP and each deviation band pair.
Offset support for forward/backward shifting.
Recommended Use Cases
Intraday Scalping/Mean Reversion : 5m–15m charts with Daily anchor + previous value area as primary reference.
Swing Entries : Higher timeframes (1H–4H) using Weekly or Quarterly VWAP for bias, with previous quarter's value area as major confluence.
Deviation Trading : Watch for price interaction with ±2σ/±3σ bands combined with approach alerts for potential exhaustion.
Institutional Benchmarking : Quarterly/Yearly anchors approximate common institutional VWAP reset periods.
Additional Notes
Source fixed to hlc3 (industry standard for VWAP).
Enjoy cleaner, more contextual VWAP analysis.
| | deKoder | |
Released December 2025 | Open Source
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