Market Energy & Direction DashboardMarket Energy & Direction Dashboard - Daytrading
Overview
A comprehensive real-time market internals dashboard that combines NYSE TICK, NYSE Advance-Decline (ADD) momentum, VIX direction, and relative volume into a single visual traffic light system with intelligent signal synthesis. Designed for active daytraders who need instant confirmation of market direction and energy based on momentum alignment across all major internals.
What It Does
This indicator synthesizes multiple market internals using directional momentum analysis rather than static thresholds to provide clear, actionable signals:
• Traffic Light System: Single glance confirmation of market state
o Bright Green: Maximum bullish - all internals aligned (TICK + ADD rising + VIX falling + volume)
o Bright Red: Maximum bearish - all internals aligned (TICK + ADD falling + VIX rising + volume)
o Yellow: Exhaustion warning - TICK at extremes, potential reversal imminent
o Moderate Colors: Partial alignment - some confirmation but not complete
o Gray: Choppy, neutral, or conflicting signals
• Real-Time Dashboard displays:
o Current TICK value with exhaustion warnings
o Current ADD with directional momentum indicator (↑ rising = breadth improving, ↓ falling = breadth deteriorating, ± compression)
o VIX level with directional indicator (↓ declining = bullish, ↑ rising = bearish, ± compression = neutral)
o Relative volume (current vs 20-period average)
o Composite status message synthesizing all data into clear directional summary
Key Features
✓ Momentum-based analysis - all indicators show direction/change, not just levels ✓ Intelligent signal hierarchy from "Maximum" to "Moderate" based on internal alignment ✓ ADD directional momentum - catches breadth shifts early, works in all market conditions ✓ VIX directional analysis - shows if fear is increasing, decreasing, or stagnant ✓ Color-coded traffic light for instant decision making ✓ Detects TICK/ADD divergences (conflicting signals = caution) ✓ Exhaustion warnings at extreme TICK levels (±1000+) ✓ Composite status messages - "Maximum Bull", "Strong Bull", "Moderate Bull", etc. ✓ Customizable thresholds for all parameters ✓ Moveable dashboard (9 position options) ✓ Built-in alerts for all signal strengths, exhaustion, and divergences
How To Use
Setup:
1. Add indicator to your main trading chart (SPY, ES, NQ, etc.)
2. Default settings work well for most traders, but you can customize:
o TICK Extreme Level (default 1000)
o ADD Compression Threshold (default 100 - detects when breadth is stagnant)
o VIX Elevated Level (default 20)
o VIX Compression Threshold (default 2% - detects low volatility)
o Volume Threshold (default 1.5x average)
3. Position dashboard wherever convenient on your chart
Reading The Signals:
Signal Hierarchy (Strongest to Weakest):
MAXIMUM SIGNALS ⭐ (Brightest colors - All 4 internals aligned)
• "✓ MAXIMUM BULL": TICK bullish + ADD rising (↑) + VIX falling (↓) + Volume elevated
o This is the holy grail setup - all momentum aligned, highest conviction longs
• "✓ MAXIMUM BEAR": TICK bearish + ADD falling (↓) + VIX rising (↑) + Volume elevated
o Perfect storm bearish - all momentum aligned, highest conviction shorts
STRONG SIGNALS (Bright colors - Core internals aligned)
• "✓ STRONG BULL": TICK bullish + ADD rising (↑)
o Strong confirmation even without VIX/volume - breadth supporting the move
• "✓ STRONG BEAR": TICK bearish + ADD falling (↓)
o Strong confirmation - both momentum and breadth deteriorating
MODERATE SIGNALS (Faded colors - Partial confirmation)
• "MODERATE BULL": TICK bullish but ADD not confirming direction
o Proceed with caution - momentum present but breadth questionable
• "MODERATE BEAR": TICK bearish but ADD not confirming direction
o Proceed with caution - selling but breadth not fully participating
WARNING SIGNALS
• "⚠ EXHAUSTION" (Yellow): TICK at ±1000+ extremes
o Potential reversal zone - prepare to fade or take profits
o Often marks blow-off tops or capitulation bottoms
NEUTRAL/AVOID
• "CHOPPY/NEUTRAL" (Gray): Conflicting signals or low conviction
o Stay out or reduce size significantly
Individual Indicator Interpretation:
TICK:
• Green: Bullish momentum (>+300)
• Red: Bearish momentum (<-300)
• Yellow: Exhaustion (±1000+)
• Gray: Neutral
ADD (Advance-Decline):
• Green (↑): Breadth improving - more stocks participating in the move
• Red (↓): Breadth deteriorating - fewer stocks participating
• Gray (±): Breadth stagnant - no clear participation trend
VIX:
• Green (↓): Fear declining - healthy environment for rallies
• Red (↑): Fear rising - risk-off mode, supports downward moves
• Gray (±): Volatility compression - often precedes explosive moves
Volume:
• Green: High conviction (>1.5x average)
• Gray: Low conviction
Trading Strategy:
1. Wait for "MAXIMUM" or "STRONG" signals for highest probability entries
o Maximum signals = go full size with confidence
o Strong signals = good conviction, normal position sizing
2. Confirm directional alignment:
o For longs: Want ADD ↑ (rising) and VIX ↓ (falling)
o For shorts: Want ADD ↓ (falling) and VIX ↑ (rising)
3. Use exhaustion warnings (yellow) to:
o Take profits on existing positions
o Prepare counter-trend entries
o Tighten stops
4. Avoid "MODERATE" signals unless you have strong conviction from other analysis
o These work best as confirmation for existing setups
o Not strong enough to initiate new positions alone
5. Never trade "CHOPPY/NEUTRAL" signals
o Gray means stay out - preserve capital
o Wait for clear alignment
6. Watch for divergences:
o Price making new highs but ADD ↓ (falling) = distribution warning
o Price making new lows but ADD ↑ (rising) = potential bottom
o Divergence alert will notify you
Best Practices:
• Use on 1-5 minute charts for daytrading
• Combine with your price action or technical setup (support/resistance, trendlines, patterns)
• The dashboard confirms when to take your setup, not what setup to take
• Most effective during regular market hours (9:30 AM - 4:00 PM ET) when volume is present
• The strongest edge comes from "MAXIMUM" signals - wait for these for best risk/reward
• Pay special attention to ADD direction - it's the most predictive breadth indicator
• VIX compression (gray ±) often signals upcoming volatility expansion - prepare for bigger moves
Customization Option
All thresholds are adjustable in settings:
• TICK Extreme: Higher = fewer exhaustion warnings (try 1200-1500 for less sensitivity)
• ADD Compression Threshold: Change detection sensitivity
o Default 100 = balanced
o Lower (50) = more sensitive to small breadth changes
o Higher (200-300) = only shows major breadth shifts
• VIX Elevated: Adjust for current volatility regime (15-25 typical range)
• VIX Compression Threshold:
o Default 2% = balanced
o Lower (0.5-1%) = catches subtle VIX changes
o Higher (3-5%) = only shows significant VIX moves
• Volume Threshold: Lower for quieter stocks/times, higher for more confirmation
Alerts Available
• Maximum Bullish: All 4 internals aligned bullish (TICK + ADD↑ + VIX↓ + Volume)
• Maximum Bearish: All 4 internals aligned bearish (TICK + ADD↓ + VIX↑ + Volume)
• Strong Bullish: TICK bullish + ADD rising
• Strong Bearish: TICK bearish + ADD falling
• Exhaustion Warning: TICK at extreme levels
• Divergence Warning: TICK and ADD directions conflicting
Understanding the Signal Synthesis
The indicator uses intelligent logic to combine all internals:
"MAXIMUM" Signals require:
• TICK direction (bullish/bearish)
• ADD momentum (rising/falling) in same direction
• VIX direction (falling for bulls, rising for bears)
• Volume elevated (>1.5x average)
"STRONG" Signals require:
• TICK direction (bullish/bearish)
• ADD momentum (rising/falling) in same direction
• (VIX and volume are bonuses but not required)
"MODERATE" Signals:
• TICK showing direction
• But ADD not confirming or contradicting
• Weakest actionable signal
This hierarchy ensures you know exactly how much conviction the market has behind any move.
Technical Details
• Pulls real-time data from NYSE TICK (USI:TICK), NYSE ADD (USI:ADD), and CBOE VIX
• ADD direction calculated using bar-to-bar change with compression detection
• VIX direction calculated using bar-to-bar percentage change
• Volume calculation uses 20-period simple moving average
• Dashboard updates every bar
• No repainting - all calculations based on closed bar data
Who This Is For
• Active daytraders of stocks, futures (ES/NQ), and options
• Scalpers needing quick directional confirmation with multiple internal alignment
• Swing traders looking to time intraday entries with maximum confluence
• Volatility traders who monitor VIX behavior
• Market makers and professionals who trade based on breadth and internals
• Anyone who monitors market internals but wants intelligent synthesis vs raw data
Tips For Success
Trading Philosophy:
• Quality over quantity - wait for "MAXIMUM" signals for best results
• One "MAXIMUM" signal trade is worth five "MODERATE" signal trades
• Gray/neutral is not a sign of missing opportunity - it's protecting your capital
Signal Confidence Levels:
1. MAXIMUM (95%+ confidence) - Trade these aggressively with full size
2. STRONG (80-85% confidence) - Trade these with normal position sizing
3. MODERATE (60-70% confidence) - Only if confirmed by strong technical setup
4. CHOPPY/NEUTRAL - Do not trade, wait for clarity
Advanced Techniques:
• Breadth divergences: Watch for price making new highs while ADD shows ↓ (falling) = major warning
• VIX/Price divergences: Rallies with rising VIX (↑) are usually false moves
• Volume confirmation: "MAXIMUM" signals with 2x+ volume are the absolute best
• Compression zones: When both ADD and VIX show compression (±), expect explosive breakout soon
• Sequential signals: Back-to-back "MAXIMUM" signals in same direction = strong trending day
Common Patterns:
• Opening surge with "MAXIMUM BULL" that shifts to "EXHAUSTION" (yellow) = fade the high
• Selloff with "MAXIMUM BEAR" followed by ADD ↑ (rising) divergence = potential reversal
• Choppy morning followed by "MAXIMUM" signal afternoon = best trending opportunity
Example Scenarios
Perfect Bull Entry:
• Bright green signal box
• TICK: +650
• ADD: +1200 (↑)
• VIX: 18.30 (↓)
• Volume: 2.3x
• Status: "✓ MAXIMUM BULL" → ALL SYSTEMS GO - Take aggressive long positions
Strong Bull (Good Confidence):
• Green signal box (slightly less bright)
• TICK: +500
• ADD: +800 (↑)
• VIX: 19.50 (±)
• Volume: 1.2x
• Status: "✓ STRONG BULL" → Good long setup - breadth confirming even without VIX/volume
Caution Bull (Moderate):
• Faded green signal box
• TICK: +400
• ADD: +900 (↓)
• VIX: 20.10 (↑)
• Volume: 0.9x
• Status: "MODERATE BULL" → CAUTION - TICK bullish but breadth deteriorating and VIX rising = weak rally
Exhaustion Warning:
• Yellow signal box
• TICK: +1350 ⚠
• ADD: +2100 (↑)
• VIX: 17.20 (↓)
• Volume: 1.8x
• Status: "⚠ EXHAUSTION" → Take profits or prepare to fade - TICK overextended despite good internals
Divergence Setup (Potential Reversal):
• Faded green signal
• TICK: +300
• ADD: +1800 (↓)
• VIX: 21.50 (↑)
• Volume: 1.6x
• Status: "MODERATE BULL" → WARNING - Price rallying but breadth collapsing and fear rising = distribution
Perfect Bear Entry:
• Bright red signal box
• TICK: -780
• ADD: -1600 (↓)
• VIX: 24.80 (↑)
• Volume: 2.5x
• Status: "✓ MAXIMUM BEAR" → Perfect short setup - all momentum bearish with conviction
Compression (Wait Mode):
• Gray signal box
• TICK: +50
• ADD: -200 (±)
• VIX: 16.40 (±)
• Volume: 0.7x
• Status: "CHOPPY/NEUTRAL" → STAY OUT - Volatility compression, no conviction, await breakout
Performance Optimization
Best Market Conditions:
• Works excellent in trending markets (up or down)
• Particularly powerful during high-volume sessions (first/last hours)
• "MAXIMUM" signals most reliable during 9:45-11:00 AM and 2:00-3:30 PM ET
Less Effective During:
• Lunch period (11:30 AM - 1:30 PM) - lower volume reduces signal quality
• Low-volatility environments - compression signals dominate
• Major news events in first 5 minutes - wait for internals to stabilize
Recommended Use Cases:
• Scalping: Trade only "MAXIMUM" signals for quick 5-15 minute moves
• Daytrading: Use "MAXIMUM" and "STRONG" signals for position entries
• Swing entries: Use "MAXIMUM" signals for optimal intraday entry timing
• Exit timing: Use "EXHAUSTION" (yellow) warnings to take profits
________________________________________
Pro Tip: Create a dedicated workspace with this indicator on SPY/ES/NQ charts. Set alerts for "MAXIMUM BULL", "MAXIMUM BEAR", and "EXHAUSTION" signals. Most professional traders only trade the "MAXIMUM" setups and ignore everything else - this alone can dramatically improve win rates.
在脚本中搜索"市值60亿的股票"
[CT] Kurutoga MTF HistogramWhat is Kurutoga MTF Histogram?
The Kurutoga MTF Histogram is a multi-time-frame momentum and mean-deviation tool.
It measures how far the current close is trading away from a rolling midpoint of price and then displays that deviation as a color-coded histogram.
Instead of looking only at one lookback, this version plots three Kurutoga “leads” at the same time:
Kurutoga Lead (x1) – base length
Kurutoga Lead 2x – slower, 2 × base length
Kurutoga Lead 4x – slowest, 4 × base length
Each lead is calculated both on the chart’s timeframe (LTF) and on a Higher Time Frame (HTF) of your choice, so you can see short-term deviation inside a higher-time-frame structure.
4-color Kurutoga scheme
Each Kurutoga lead uses a 4-color MACD-style scheme:
For a given lead:
Up Light – divergence ≥ 0 and rising compared to the previous bar
Up Dark – divergence ≥ 0 and falling (positive but losing momentum)
Down Light – divergence < 0 and falling (bearish momentum increasing)
Down Dark – divergence < 0 and rising (negative but contracting)
By default the same four teal / red hues are shared across x1, x2, and x4. The only difference between the leads is transparency:
x1 = strongest (least transparent)
x2 = medium opacity
x4 = faintest
This lets you see all three layers at once without the chart becoming a solid block of color.
The HTF areas use the same palette but with an extra transparency offset applied, so they appear as soft background bands rather than competing with the histograms.
Inputs and how to use them
1. Base Length
Defines the lookback for the main Kurutoga Lead.
The script automatically creates:
len1 = baseLength
len2 = baseLength × 2
len3 = baseLength × 4
Smaller base lengths → faster, more reactive histograms.
Larger base lengths → smoother, trend-focused behavior.
2. Higher Time Frame
This is the HTF used for the area plots and HTF midpoints.
Examples:
5-minute chart with HTF = 30 or 60 minutes
15-minute chart with HTF = 4H or 1D
The idea is to trade on the lower timeframe while seeing how far price is stretched relative to a higher-time-frame range midpoint.
3. Show / Hide toggles
Under “Show / Hide” you can independently turn on/off:
Kurutoga Lead (x1)
Kurutoga Lead 2x
Kurutoga Lead 4x
HTF Lead, HTF Lead 2x, HTF Lead 4x
This lets you:
Run only a single Kurutoga if you want a clean panel, or
Stack multiple leads for a “multi-speed” view of extension and mean reversion.
4. Color Scheme (4-color Kurutoga)
Up Light / Up Dark / Down Light / Down Dark – base hues used for every lead.
Lead opacity (x1, 2x, 4x) – sets how strong or faint each lead appears.
x1 is usually your primary “trading speed.”
x2 and x4 can be faded so they act as context.
Extra transparency for HTF areas – additional opacity applied on top of each lead’s opacity when drawing HTF areas. This keeps the HTF layer subtle.
You can fine-tune the exact teal/red values here to match your personal palette.
Practical reading & trade ideas
Trend alignment
When all three Kurutoga leads (x1, 2x, 4x) are above zero, price is trading above its rolling mid-range on multiple speeds → bullish environment.
When all three are below zero, you have a multi-speed bearish environment.
Mixed readings (e.g., x1 above zero, x4 below zero) can signal transition or mean-reversion areas.
Momentum vs exhaustion
Up Light / Down Light (light colors) show momentum expanding in that direction.
Up Dark / Down Dark (dark colors) show momentum contracting – price still on that side of zero, but the push is weakening.
After a run of Up Light bars, a shift to Up Dark may hint at a stall or pullback.
After a run of Down Light bars, a shift to Down Dark may hint at short covering / bounce potential.
Multi-time-frame confluence
Use the HTF areas as a backdrop:
If LTF Kurutoga leads are above zero while the HTF area is also positive (and ideally expanding), that’s strong bullish alignment.
If LTF leads are trying to flip up while HTF divergence is still deeply negative, you may be looking at a counter-trend bounce rather than a true trend change.
Example setups
Trend-following entries:
Look for x2 & x4 leads on the same side of zero as the HTF area, then use x1 color shifts (from Down Dark → Up Light or vice versa) to fine-tune entries in the direction of that higher-time-frame bias.
Mean-reversion fades:
Watch for extreme Kurutoga values where x1/x2 are strongly extended beyond zero while color flips from Light to Dark (momentum stalling) against an opposing HTF backdrop .
Notes
The indicator is non-directional by itself – it measures distance from a rolling midpoint rather than trend structure or order flow. It works best when combined with your existing price action/trend tools (moving averages, HLBO, structure zones, etc.).
Because HTF values are brought down via request.security, choose HTF settings that make sense for your product and session (for example, don’t use very high HTFs on thin intraday markets).
Use the Kurutoga MTF Histogram as a visual scanner for extension, momentum regime, and multi-speed alignment, then layer your own entry/exit rules on top.
RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder📈 RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder
This advanced RSI-based tool helps identify bullish and bearish market trends before they happen — combining classic RSI analysis with Cardwell-style reversals and range shift detection to act as a leading indicator rather than a lagging one.
🧠 Core Concept
The script detects when RSI behavior “shifts ranges,” a signature of trend changes:
• Bull Regime — RSI pullbacks hold above ~40 (momentum stays strong)
• Bear Regime — RSI rallies stall below ~60 (momentum weakens)
It then looks for leading clues inside those regimes:
• ✅ Positive Reversal: Price makes a higher low while RSI makes a lower low — a bullish continuation or early trend reversal signal.
• ❌ Negative Reversal: Price makes a lower high while RSI makes a higher high — an early warning of weakness.
• 🔁 Classic Divergences: Confirms reversals when RSI and price diverge at pivot points.
🎯 Signals
• Green “▲ Bull lead” — bullish reversal or divergence detected.
• Red “▼ Bear lead” — bearish reversal or divergence detected.
• Optional background shading:
• 🟩 Teal = Bullish regime
• 🟥 Red = Bearish regime
⚙️ Customization
• Regime sensitivity — Adjust RSI floor/ceiling for your asset’s volatility.
• Pivot sensitivity — Tune pivot lookback (L/R bars) for faster or slower signals.
• RSI smoothing — Filters noise without losing responsiveness.
• Alerts included — Trigger TradingView alerts for bullish or bearish leading signals.
🕵️♂️ Why it’s different
Unlike standard RSI divergences (which confirm after the move), this indicator uses positive/negative reversals to identify potential trend shifts early — a technique favored by Andrew Cardwell’s RSI analysis.
📊 Works great for:
• Swing trading and trend detection
• Spotting momentum regime shifts
• Stocks, crypto, FX, indices
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator
## Overview
The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing.
## What It Does
This indicator normalizes and combines:
- **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges
- **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols
The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions.
## Core Concept
### Exchange Flows
- **Negative Flow (Outflows)** = Bullish Signal
- Coins moving OFF exchanges → Long-term holding/accumulation
- Indicates reduced selling pressure
- **Positive Flow (Inflows)** = Bearish Signal
- Coins moving TO exchanges → Preparation for selling
- Indicates potential distribution phase
### Total Value Locked (TVL)
- **Rising TVL** = Bullish Signal
- Capital flowing into DeFi protocols
- Increased ecosystem confidence
- **Falling TVL** = Bearish Signal
- Capital exiting DeFi protocols
- Decreased ecosystem confidence
### Combined Signals
**🟢 Strong Bullish (70-100):**
- Exchange outflows + Rising TVL
- Smart money accumulating and deploying capital
**🔴 Strong Bearish (0-30):**
- Exchange inflows + Falling TVL
- Smart money preparing to sell and exiting positions
**⚪ Neutral (40-60):**
- Mixed or balanced flows
## Key Features
### ✅ Auto-Detection
- Automatically detects chart symbol (BTC/ETH)
- Uses appropriate exchange flow data for each asset
### ✅ Weighted Composite
- Customizable weights for Exchange Flow and TVL components
- Default: 50/50 balance
### ✅ Normalized Scale
- 0-100 index scale
- Configurable lookback period for normalization (default: 90 days)
### ✅ Signal Zones
- **Overbought**: 70+ (Strong bullish pressure)
- **Oversold**: 30- (Strong bearish pressure)
- **Extreme**: 85+ / 15- (Very strong signals)
### ✅ Clean Interface
- Minimal visual clutter by default
- Only main index line and MA visible
- Optional elements can be enabled:
- Background color zones
- Divergence signals
- Trend change markers
- Info table with detailed metrics
### ✅ Divergence Detection
- Identifies when price diverges from smart money flows
- Potential reversal warning signals
### ✅ Alerts
- Extreme overbought/oversold conditions
- Trend changes (crossing 50 line)
- Bullish/bearish divergences
## How to Use
### 1. Trend Confirmation
- Index above 50 = Bullish trend
- Index below 50 = Bearish trend
- Use with price action for confirmation
### 2. Reversal Signals
- **Extreme readings** (>85 or <15) suggest potential reversal
- Look for divergences between price and indicator
### 3. Accumulation/Distribution
- **70+**: Accumulation phase - smart money buying/holding
- **30-**: Distribution phase - smart money selling
### 4. DeFi Health
- Monitor TVL component for DeFi ecosystem strength
- Combine with exchange flows for complete picture
## Settings
### Data Sources
- **Exchange Flow**: IntoTheBlock real-time data
- **TVL**: DefiLlama aggregated DeFi TVL
- **Manual Mode**: For testing or custom data
### Indicator Settings
- **Smoothing Period (MA)**: Default 14 periods
- **Normalization Lookback**: Default 90 days
- **Exchange Flow Weight**: Adjustable 0-100%
- **Overbought/Oversold Levels**: Customizable thresholds
### Visual Options
- Show/Hide Moving Average
- Show/Hide Zone Lines
- Show/Hide Background Colors
- Show/Hide Divergence Signals
- Show/Hide Trend Markers
- Show/Hide Info Table
## Data Requirements
⚠️ **Important Notes:**
- Uses **daily data** from IntoTheBlock and DefiLlama
- Works on any chart timeframe (data updates daily)
- Auto-switches between BTC and ETH based on chart
- All other crypto charts default to BTC exchange flow data
## Best Practices
1. **Use on Daily+ Timeframes**
- On-chain data is daily, most effective on D/W/M charts
2. **Combine with Price Action**
- Use as confirmation, not standalone signals
3. **Watch for Divergences**
- Price making new highs while indicator falling = warning
4. **Monitor Extreme Zones**
- Sustained readings >85 or <15 indicate strong conviction
5. **Context Matters**
- Consider broader market conditions and fundamentals
## Calculation
1. **Exchange Net Flow** = Inflows - Outflows (inverted for index)
2. **TVL Rate of Change** = % change over smoothing period
3. **Normalize** both metrics to 0-100 scale
4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight)
5. **Smooth** with moving average
## Disclaimer
This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management.
On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy.
---
## Credits
**Data Sources:**
- IntoTheBlock: Exchange flow metrics
- DefiLlama: Total Value Locked data
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
first candle time 60 min by niceshort with chatgpttime and date first 1H candle.
Displaying the date and time of the first candle can be useful when searching for a chart with the longest history for a given asset.
XAUUSD Multi-Timeframe Bias Scanner🎯 Purpose & Overview
This is a sophisticated trading indicator that analyzes XAUUSD (Gold) across 5 different timeframes simultaneously to determine market bias and trend direction.
⚙️ Core Components
2. Bias Calculation Engine
The heart of the indicator uses 5 technical factors to score each timeframe:
Technical Factors (Weighted):
Moving Average Alignment (30 points)
Bullish: EMA(9) > EMA(21) > EMA(50)
Bearish: EMA(9) < EMA(21) < EMA(50)
Price vs MA Position (20 points)
Score increases when price above MAs
Score decreases when price below MAs
RSI Momentum (20 points)
Bullish: RSI > 60 or > 50
Bearish: RSI < 40 or < 50
MACD Signals (15 points)
Bullish: MACD line > Signal line AND > 0
Bearish: MACD line < Signal line AND < 0
Volume Confirmation (15 points)
Volume spikes with price movement add confirmation
📊 Timeframe Analysis
Five Timeframes Monitored:
5-minute - Short-term noise (10% weight)
15-minute - Intraday direction (15% weight)
1-hour - Key intraday bias (25% weight)
4-hour - Primary directional bias (30% weight)
1-day - Overall trend context (20% weight)
Bias Scoring System:
0-100 Scale (50 = Neutral)
STRONG BULLISH: ≥70 (Green)
BULLISH: 55-69 (Lime)
NEUTRAL: 46-54 (Gray)
BEARISH: 31-45 (Orange)
STRONG BEARISH: ≤30 (Red)
🎨 Visual Features
1. Comprehensive Table Display
pinescript
var table biasTable = table.new(position.top_right, 3, 7, ...)
Shows a color-coded table with:
Timeframe name
Numerical bias score (0-100)
Strength description with color coding
2. Chart Visual Indicators
Background coloring based on overall bias
Label markers for strong bullish/bearish conditions
Real-time label showing all timeframe scores
3. Alert System
Triggers when overall bias crosses 70 (bullish) or 30 (bearish)
Configurable with sound options
🔄 How It Processes Data
Data Flow:
Requests security data for each timeframe using request.security()
Calculates technical indicators for each TF separately
Scores each TF based on 5 technical factors
Computes weighted overall bias
Updates visual displays and checks alert conditions
💡 Trading Applications
Bullish Scenarios:
Multiple timeframes show bullish alignment
Higher timeframe bias supports lower timeframe direction
Overall score > 70 indicates strong bullish conviction
Bearish Scenarios:
Multiple timeframes show bearish alignment
Higher timeframe bias confirms lower timeframe moves
Overall score < 30 indicates strong bearish conviction
Conflict Detection:
When timeframes show conflicting biases
Caution required - market may be consolidating
Wait for alignment before taking trades
🎚️ Customization Options
Users can modify:
Timeframe weights
Technical indicator parameters
Alert thresholds
Visual display preferences
Scoring sensitivity
📈 XAUUSD Specific Optimizations
The indicator considers Gold's unique characteristics:
High volatility periods
ATR-based volatility adjustments
Volume confirmation for breakouts
Multiple timeframe confirmation for trend reliability
This creates a powerful tool for identifying high-probability trade setups in XAUUSD by ensuring traders have a complete multi-timeframe perspective before entering positions.
Altseason IndexDescription of the "Altseason Index" Indicator
The Altseason Index is a powerful and visually minimalist tool designed to objectively identify the onset and conclusion of an "altseason" in the cryptocurrency market. Moving beyond subjective speculation, this indicator employs a clear, mathematical methodology by comparing the performance of a broad basket of altcoins against Bitcoin.
🎯 Core Concept and Utility
An "Altseason" is a market period where altcoins (cryptocurrencies other than Bitcoin) consistently yield higher returns than BTC. This indicator empowers traders and investors to:
Objectively Identify Market Cycles: Precisely pinpoint when capital is actively rotating from Bitcoin into altcoins and vice versa.
Make Data-Driven Decisions: Adjust their strategy in a timely manner: increasing exposure to altcoins during an altseason or rotating back into BTC upon its conclusion.
Avoid Emotional Pitfalls: Steer clear of FOMO (Fear Of Missing Out) and base decisions on hard data rather than market noise.
⚙️ How the Calculation Works
1. Asset Selection: The indicator tracks the performance of 15 leading altcoins across various market segments (Layer 1s, DeFi, Meme, Payments), ensuring a representative sample.
2. Performance Comparison: For each altcoin, the percentage price change over the user-defined lookback period (default: 90 days) is calculated. This performance is then compared to BTC's performance over the same period.
3. Counting the "Outperformers": The index counts the number of altcoins that have "outperformed" BTC.
4. Calculating the Index: The Altseason Index value is the percentage of altcoins in the basket that are outperforming BTC. For example, a value of 60% means that 9 out of the 15 coins performed better than Bitcoin.
🛠️ Indicator Settings
The settings are kept simple and intuitive, allowing you to customize the indicator to your strategy:
Lookback Period (days) (Default: 90):
- Defines the time horizon for the performance calculation.
- Shorter Periods (30-60 days) react faster to new trends but may produce more false signals.
- Longer Periods (90-180 days) provide smoother and more reliable signals, capturing sustained macro-trends.
Altseason Threshold (%) (Default: 75%):
- This is the key parameter that defines what index value constitutes an official "altseason."
- A threshold of 75% means an altseason is declared when at least 11 out of the 15 altcoins (75%) are outperforming BTC.
- You can increase the threshold (e.g., to 85%) for more conservative and stronger signals, or decrease it (e.g., to 65%) for earlier entries.
📊 Interpreting the Readings and Signals
The indicator uses a clear color-coding system and levels for easy interpretation:
🔴 < 30%: "BTC SEASON"
Bitcoin is dominating. The market is in risk-off mode or a state of anticipation. Growth is concentrated in BTC.
⚪ 30% - 49%: "NEUTRAL"
A transitional phase. The market is uncertain. Some alts show strength, but there is no unified trend.
🔵 50% - 74%: "BULLISH"
Growing strength in altcoins. Capital is beginning to rotate actively. This can be an early stage of an altseason.
🟢 ≥ 75% (or your custom threshold): "ALTSEASON"
The active altseason phase. The vast majority of altcoins are rising faster than BTC. This is the period of maximum potential returns for alts.
Signal Markers:
Green Dot: Signals the potential start of an altseason (the index crosses above the threshold).
Red Dot: Signals the potential end of an altseason (the index crosses below the threshold).
ℹ️ Information Panel
The chart displays two clean information panels:
1. Main Info Label:
Current index value (e.g., ⟠ 80%).
Market status (ALTSEASON, BULLISH, etc.).
The ratio of outperforming altcoins (11/15 alts).
2. Dominance & Market Cap Panel:
Alts: Altcoin Dominance (the market cap share of all coins except BTC).
BTC: Bitcoin Dominance.
Market: Total cryptocurrency market capitalization in billions of USD. This helps assess the overall market context (bullish/bearish).
💎 Conclusion
The Altseason Index is your strategic companion for navigating the crypto markets. It transforms the complex task of identifying market cycles into a simple and visual process. Use it to confirm broad market trends, identify potential entry and exit points, and, most importantly, to maintain discipline in your trading strategy by filtering out noise and emotion.
Disclaimer: This indicator is a tool for analysis and does not constitute investment advice. All trading decisions are taken at your own risk.
BTC Halving Cycle SignalsBTC Halving Cycle Signals
What signals does this script give in real history (2011-2025):
2015 → BUY (bear market bottom)
2019 → BUY (post-2018 bottom)
October 2020 → BUY
November 2023 → BUY
And right now (Nov 2025) → green bottom + price above weekly EMA200 → about to give a buy signal if it breaks $72k strongly.
BUY signal: ~500 days pre-halving + price > weekly EMA200 + monthly RSI <60 (accumulation).
SELL signal: ~1064 days post-halving + RSI >75 or close < SuperTrend (distribution).
Hardcoded halving dates (can be edited). Works on BTCUSD weekly/monthly, gives 1-2 signals per cycle.
45DS v6.0 FULL FINAL1-5-15-30-60 dakıkalık zaman dlimlerinde sculp indikatörü . Başarısına inanamayacalsınız..
Ichimoku Cloud (Auto Crypto/Non-Crypto settings)Save the hassle of switching back and forth between crypto and non-crypto settings by using the `syminfo.type` value under the hood.
If it's crypto it uses the 20, 60, 120, 30 settings, otherwise it uses 18, 52, 104, 26 defaults.
You can always override it using the Market Mode input in the settings.
The settings type is displayed in the top right of the chart as either "Crypto Cloud" or "Legacy Cloud" so you know which settings are being applied.
Defended Price Levels (DPLs) — Melvin Dickover ConceptThis indicator identifies and draws horizontal “Defended Price Levels” (DPLs) exactly as originally described by Melvin E. Dickover in his trading methodology.
Dickover observed that when extreme relative volume and extreme “freedom of movement” (volume-to-price-movement ratio) occur on the same bar, especially on bars with large gaps or unusually large bodies, the closing price (or previous close) of that bar very often becomes a significant future support/resistance level that the market later “defends.”
This script automates the detection of those exact coincident spikes using two well-known public indicators:
Relative Volume (RVI)
• Original idea: Melvin Dickover
• Pine Script implementation used here: “Relative Volume Indicator (Freedom Of Movement)” by LazyBear
Link:
Freedom of Movement (FoM)
• Original idea and calculation: starbolt64
• Pine Script: “Freedom of Movement” by starbolt64
Link:
How this indicator works
Calculates the raw (possibly negative) LazyBear RVI and starbolt64’s exact FoM values
Normalizes and standardizes both over the user-defined lookback
Triggers only when both RVI and FoM exceed the chosen number of standard deviations on the same bar (true Dickover coincident-spike condition)
Applies Dickover’s original price-selection rules (uses current close on big gaps or 2× body expansion candles, otherwise previous close)
Draws a thin maroon horizontal ray only when the new level is sufficiently far from all previously drawn levels (default ≥0.8 %) and the maximum number of levels has not been reached
Keeps the chart clean by limiting the total number of significant defended levels shown
This is not a republish or minor variation of the two source scripts — it is a faithful automation of Melvin Dickover’s specific “defended price line” concept that he manually marked using the coincidence of these two indicators.
Full credit goes to:
Melvin E. Dickover — creator of the Defended Price Levels concept
LazyBear — author of the Relative Volume (RVI) implementation used here
starbolt64 — author of the Freedom of Movement indicator and calculation
Settings (all adjustable):
Standard Deviation Length (default 60)
Spike Threshold in standard deviations (default 2.0)
Minimum distance between levels in % (default 0.8 %)
Maximum significant levels to display (15–80)
Use these horizontal maroon lines as potential future support/resistance zones that the market has previously shown strong willingness to defend.
Thank you to Melvin, LazyBear, and starbolt64 for the original work that made this automation possible.
Advanced Market Profile & S/R Zones (Pro)Advanced Market Profile & S/R Zones
This indicator brings professional Auction Market Theory to your chart using a custom rolling Volume Profile algorithm. Unlike standard profiles that remain fixed, this tool dynamically calculates the "Fair Value" of the asset based on your specific lookback period (e.g., the last 100 bars).
It automatically highlights the Point of Control (POC), Value Area (VA), and suggests statistical Discount (Buy) and Premium (Sell) zones.
Key Features
Volume Splitting Algorithm:
Most basic scripts dump the entire volume of a candle into a single price point (the average). This script splits the volume across the candle's entire High-Low range. This results in a much smoother, higher-resolution bell curve that accurately reflects price action, especially on higher timeframes like Monthly charts.
Auto-generated Zones:
Green Zone (Discount): Prices below the Value Area Low (VAL). Statistically "cheap."
Red Zone (Premium): Prices above the Value Area High (VAH). Statistically "expensive."
Real-Time Dashboard:
A built-in panel displays the exact price levels for the POC, VAH, and VAL for precise limit order placement, along with the current Market Trend.
How to Use
For Intraday (Day Trading):
Settings: Set Lookback to 100 - 300.
Strategy: Watch for price to open outside the Value Area. If price breaks back inside the Value Area, target the POC (Red Line).
For Macro (Monthly/Weekly Charts):
Settings: Set Lookback to 12 (1 Year) or 60 (5 Years).
Strategy: Identify multi-year structural support. When a monthly candle enters the Green Discount Zone of a 5-year profile, it is often a high-probability institutional entry point.
Trend Logic
The Dashboard indicates trend based on price location relative to value:
Strong Bullish: Price is accepted ABOVE the Value Area.
Strong Bearish: Price is accepted BELOW the Value Area.
Neutral / In VA: Price is chopping inside the Value Area.
Disclaimer
This is a "Rolling Profile." It calculates the profile based on the current lookback window relative to the latest bar. As new bars form, the lookback window shifts, and the profile updates to reflect the new dataset.
RSI Ensemble Confidence [CHE]RSI Ensemble Confidence — Measures RSI agreement across multiple lengths and price sources
Summary
This indicator does not just show you one RSI — it shows you how strongly dozens of different RSI variants agree with each other right now.
The Confidence line (0–100) is the core idea:
- High Confidence → almost all RSIs see the same thing → clean, reliable situation
- Low Confidence → the RSIs contradict each other → the market is messy, RSI signals are questionable
How it works (exactly as you wanted it described)
1. Multiple RSIs instead of just one
The indicator builds a true ensemble:
- 4 lengths (default 8, 14, 21, 34)
- 6 price sources (Close, Open, High, Low, HL2, OHLC4 – individually switchable)
→ When everything is enabled, up to 24 different RSIs are calculated on every single bar.
These 24 opinions form a real “vote” about the current market state.
2. Mean and dispersion
From all active RSIs it calculates:
- rsiMean → the average opinion of the entire ensemble (orange line)
- rsiStd → how far the individual RSIs deviate from each other
Small rsiStd = they all lie close together → strong agreement
Large rsiStd = they are all over the place → contradiction
3. Confidence (0–100)
The standard deviation is compared to the user parameter “Max expected StdDev” (default 20):
- rsiStd = 0 → Confidence ≈ 100
- rsiStd = maxStd → Confidence ≈ 0
- Everything in between is scaled linearly
If only one RSI is active, Confidence is automatically set to ~80 for practicality.
What you see on the chart
1. Classic reference RSI – blue line (Close, length 14) → your familiar benchmark
2. Ensemble mean – orange line → the true consensus RSI
±1 StdDev band (optional) → shows dispersion directly:
- narrow band = clean, consistent setup
- wide band = the RSIs disagree → caution
3. Confidence line (aqua, 0–100) → your quality meter for any RSI signal
4. StdDev histogram (optional, fuchsia columns) → raw dispersion if you prefer the unscaled value
5. Background coloring
- Greenish ≥ 80 → high agreement
- Orange 60–80 → medium
- Reddish < 40 → strong disagreement
- Transparent below that
6. Two built-in alerts
- High Confidence (crossover 80)
- Low Confidence (crossunder 40)
Why this indicator is practically useful
1. Perfect filter for all RSI strategies
Only trade overbought/oversold, divergences, or failures when Confidence ≥ 70. Skip or reduce size when Confidence < 40.
2. Protection against overinterpretation
You immediately see whether a “beautiful” RSI hook is confirmed by the other 23 variants — or whether it’s just one outlier fooling you.
3. Excellent regime detector
Long periods of high Confidence = clean trends or clear overbought/oversold phases
Constantly low Confidence = choppy, noisy market → RSI becomes almost useless
4. Turns gut feeling into numbers
We all sometimes think “this setup somehow doesn’t feel right”. Now you have the exact number that says why.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)//@version=5
indicator("Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)", overlay=true, max_lines_count=500, max_labels_count=500)
// ===== INPUTS =====
ema_fast_len = input.int(9, "Fast EMA Length")
ema_slow_len = input.int(21, "Slow EMA Length")
rsi_len = input.int(12, "RSI Length")
rsi_overbought = input.int(70, "RSI Overbought Level")
rsi_oversold = input.int(30, "RSI Oversold Level")
bb_len = input.int(20, "Bollinger Bands Length")
bb_mult = input.float(2.0, "Bollinger Bands Multiplier")
sr_len = input.int(15, "Pivot Lookback for Support/Resistance")
min_ema_gap = input.float(0.0, "Minimum EMA Gap to Define Trend", step=0.1)
sr_lifespan = input.int(200, "Bars to Keep S/R Lines")
// Display options
show_bb = input.bool(true, "Show Bollinger Bands?")
show_ema = input.bool(true, "Show EMA Lines?")
show_sr = input.bool(true, "Show Support/Resistance Lines?")
show_bg = input.bool(true, "Show Background Trend Color?")
// ===== COLORS (Dark Neon Theme) =====
neon_teal = color.rgb(0, 255, 200)
neon_purple = color.rgb(180, 95, 255)
neon_orange = color.rgb(255, 160, 60)
neon_yellow = color.rgb(255, 235, 90)
neon_red = color.rgb(255, 70, 110)
neon_gray = color.rgb(140, 140, 160)
sr_support_col = color.rgb(0, 190, 140)
sr_resist_col = color.rgb(255, 90, 120)
// ===== INDICATORS =====
ema_fast = ta.ema(close, ema_fast_len)
ema_slow = ta.ema(close, ema_slow_len)
ema_gap = math.abs(ema_fast - ema_slow)
trend_up = (ema_fast > ema_slow) and (ema_gap > min_ema_gap)
trend_down = (ema_fast < ema_slow) and (ema_gap > min_ema_gap)
trend_flat = ema_gap <= min_ema_gap
rsi = ta.rsi(close, rsi_len)
bb_mid = ta.sma(close, bb_len)
bb_upper = bb_mid + bb_mult * ta.stdev(close, bb_len)
bb_lower = bb_mid - bb_mult * ta.stdev(close, bb_len)
// ===== SUPPORT / RESISTANCE =====
pivot_high = ta.pivothigh(high, sr_len, sr_len)
pivot_low = ta.pivotlow(low, sr_len, sr_len)
var line sup_lines = array.new_line()
var line res_lines = array.new_line()
if show_sr and not na(pivot_low)
l = line.new(bar_index - sr_len, pivot_low, bar_index, pivot_low, color=sr_support_col, width=2, extend=extend.right)
array.push(sup_lines, l)
if show_sr and not na(pivot_high)
l = line.new(bar_index - sr_len, pivot_high, bar_index, pivot_high, color=sr_resist_col, width=2, extend=extend.right)
array.push(res_lines, l)
// Delete old S/R lines
if array.size(sup_lines) > 0
for i = 0 to array.size(sup_lines) - 1
l = array.get(sup_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(sup_lines, i)
break
if array.size(res_lines) > 0
for i = 0 to array.size(res_lines) - 1
l = array.get(res_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(res_lines, i)
break
// ===== BUY / SELL CONDITIONS =====
buy_cond = trend_up and not trend_flat and ta.crossover(ema_fast, ema_slow) and rsi < rsi_oversold and close < bb_lower
sell_cond = trend_down and not trend_flat and ta.crossunder(ema_fast, ema_slow) and rsi > rsi_overbought and close > bb_upper
// ===== SIGNAL PLOTS =====
plotshape(buy_cond, title="Buy Signal", location=location.belowbar, color=neon_teal, style=shape.labelup, text="BUY", size=size.small)
plotshape(sell_cond, title="Sell Signal", location=location.abovebar, color=neon_red, style=shape.labeldown, text="SELL", size=size.small)
// ===== EMA LINES =====
plot(show_ema ? ema_fast : na, color=neon_orange, title="EMA Fast", linewidth=2)
plot(show_ema ? ema_slow : na, color=neon_purple, title="EMA Slow", linewidth=2)
// ===== STRONG BOLLINGER BAND CLOUD =====
plot_bb_upper = plot(show_bb ? bb_upper : na, color=color.new(neon_yellow, 20), title="BB Upper")
plot_bb_lower = plot(show_bb ? bb_lower : na, color=color.new(neon_gray, 20), title="BB Lower")
plot(bb_mid, color=color.new(neon_gray, 50), title="BB Mid")
// More visible BB cloud (stronger contrast)
bb_cloud_color = trend_up ? color.new(neon_teal, 40) : trend_down ? color.new(neon_red, 40) : color.new(neon_gray, 70)
fill(plot_bb_upper, plot_bb_lower, color=show_bb ? bb_cloud_color : na, title="BB Cloud")
// ===== BACKGROUND COLOR (TREND ZONES) =====
bgcolor(show_bg ? (trend_up ? color.new(neon_teal, 92) : trend_down ? color.new(neon_red, 92) : color.new(neon_gray, 94)) : na)
// ===== ALERTS =====
alertcondition(buy_cond, title="Buy Signal", message="Buy signal triggered. Check chart.")
alertcondition(sell_cond, title="Sell Signal", message="Sell signal triggered. Check chart.")
Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)//@version=5
indicator("Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)", overlay=true, max_lines_count=500, max_labels_count=500)
// ===== INPUTS =====
ema_fast_len = input.int(9, "Fast EMA Length")
ema_slow_len = input.int(21, "Slow EMA Length")
rsi_len = input.int(12, "RSI Length")
rsi_overbought = input.int(70, "RSI Overbought Level")
rsi_oversold = input.int(30, "RSI Oversold Level")
bb_len = input.int(20, "Bollinger Bands Length")
bb_mult = input.float(2.0, "Bollinger Bands Multiplier")
sr_len = input.int(15, "Pivot Lookback for Support/Resistance")
min_ema_gap = input.float(0.0, "Minimum EMA Gap to Define Trend", step=0.1)
sr_lifespan = input.int(200, "Bars to Keep S/R Lines")
// Display options
show_bb = input.bool(true, "Show Bollinger Bands?")
show_ema = input.bool(true, "Show EMA Lines?")
show_sr = input.bool(true, "Show Support/Resistance Lines?")
show_bg = input.bool(true, "Show Background Trend Color?")
// ===== COLORS (Dark Neon Theme) =====
neon_teal = color.rgb(0, 255, 200)
neon_purple = color.rgb(180, 95, 255)
neon_orange = color.rgb(255, 160, 60)
neon_yellow = color.rgb(255, 235, 90)
neon_red = color.rgb(255, 70, 110)
neon_gray = color.rgb(140, 140, 160)
sr_support_col = color.rgb(0, 190, 140)
sr_resist_col = color.rgb(255, 90, 120)
// ===== INDICATORS =====
ema_fast = ta.ema(close, ema_fast_len)
ema_slow = ta.ema(close, ema_slow_len)
ema_gap = math.abs(ema_fast - ema_slow)
trend_up = (ema_fast > ema_slow) and (ema_gap > min_ema_gap)
trend_down = (ema_fast < ema_slow) and (ema_gap > min_ema_gap)
trend_flat = ema_gap <= min_ema_gap
rsi = ta.rsi(close, rsi_len)
bb_mid = ta.sma(close, bb_len)
bb_upper = bb_mid + bb_mult * ta.stdev(close, bb_len)
bb_lower = bb_mid - bb_mult * ta.stdev(close, bb_len)
// ===== SUPPORT / RESISTANCE =====
pivot_high = ta.pivothigh(high, sr_len, sr_len)
pivot_low = ta.pivotlow(low, sr_len, sr_len)
var line sup_lines = array.new_line()
var line res_lines = array.new_line()
if show_sr and not na(pivot_low)
l = line.new(bar_index - sr_len, pivot_low, bar_index, pivot_low, color=sr_support_col, width=2, extend=extend.right)
array.push(sup_lines, l)
if show_sr and not na(pivot_high)
l = line.new(bar_index - sr_len, pivot_high, bar_index, pivot_high, color=sr_resist_col, width=2, extend=extend.right)
array.push(res_lines, l)
// Delete old S/R lines
if array.size(sup_lines) > 0
for i = 0 to array.size(sup_lines) - 1
l = array.get(sup_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(sup_lines, i)
break
if array.size(res_lines) > 0
for i = 0 to array.size(res_lines) - 1
l = array.get(res_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(res_lines, i)
break
// ===== BUY / SELL CONDITIONS =====
buy_cond = trend_up and not trend_flat and ta.crossover(ema_fast, ema_slow) and rsi < rsi_oversold and close < bb_lower
sell_cond = trend_down and not trend_flat and ta.crossunder(ema_fast, ema_slow) and rsi > rsi_overbought and close > bb_upper
// ===== SIGNAL PLOTS =====
plotshape(buy_cond, title="Buy Signal", location=location.belowbar, color=neon_teal, style=shape.labelup, text="BUY", size=size.small)
plotshape(sell_cond, title="Sell Signal", location=location.abovebar, color=neon_red, style=shape.labeldown, text="SELL", size=size.small)
// ===== EMA LINES =====
plot(show_ema ? ema_fast : na, color=neon_orange, title="EMA Fast", linewidth=2)
plot(show_ema ? ema_slow : na, color=neon_purple, title="EMA Slow", linewidth=2)
// ===== STRONG BOLLINGER BAND CLOUD =====
plot_bb_upper = plot(show_bb ? bb_upper : na, color=color.new(neon_yellow, 20), title="BB Upper")
plot_bb_lower = plot(show_bb ? bb_lower : na, color=color.new(neon_gray, 20), title="BB Lower")
plot(bb_mid, color=color.new(neon_gray, 50), title="BB Mid")
// More visible BB cloud (stronger contrast)
bb_cloud_color = trend_up ? color.new(neon_teal, 40) : trend_down ? color.new(neon_red, 40) : color.new(neon_gray, 70)
fill(plot_bb_upper, plot_bb_lower, color=show_bb ? bb_cloud_color : na, title="BB Cloud")
// ===== BACKGROUND COLOR (TREND ZONES) =====
bgcolor(show_bg ? (trend_up ? color.new(neon_teal, 92) : trend_down ? color.new(neon_red, 92) : color.new(neon_gray, 94)) : na)
// ===== ALERTS =====
alertcondition(buy_cond, title="Buy Signal", message="Buy signal triggered. Check chart.")
alertcondition(sell_cond, title="Sell Signal", message="Sell signal triggered. Check chart.")
Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)//@version=5
indicator("Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)", overlay=true, max_lines_count=500, max_labels_count=500)
// ===== INPUTS =====
ema_fast_len = input.int(9, "Fast EMA Length")
ema_slow_len = input.int(21, "Slow EMA Length")
rsi_len = input.int(12, "RSI Length")
rsi_overbought = input.int(70, "RSI Overbought Level")
rsi_oversold = input.int(30, "RSI Oversold Level")
bb_len = input.int(20, "Bollinger Bands Length")
bb_mult = input.float(2.0, "Bollinger Bands Multiplier")
sr_len = input.int(15, "Pivot Lookback for Support/Resistance")
min_ema_gap = input.float(0.0, "Minimum EMA Gap to Define Trend", step=0.1)
sr_lifespan = input.int(200, "Bars to Keep S/R Lines")
// Display options
show_bb = input.bool(true, "Show Bollinger Bands?")
show_ema = input.bool(true, "Show EMA Lines?")
show_sr = input.bool(true, "Show Support/Resistance Lines?")
show_bg = input.bool(true, "Show Background Trend Color?")
// ===== COLORS (Dark Neon Theme) =====
neon_teal = color.rgb(0, 255, 200)
neon_purple = color.rgb(180, 95, 255)
neon_orange = color.rgb(255, 160, 60)
neon_yellow = color.rgb(255, 235, 90)
neon_red = color.rgb(255, 70, 110)
neon_gray = color.rgb(140, 140, 160)
sr_support_col = color.rgb(0, 190, 140)
sr_resist_col = color.rgb(255, 90, 120)
// ===== INDICATORS =====
ema_fast = ta.ema(close, ema_fast_len)
ema_slow = ta.ema(close, ema_slow_len)
ema_gap = math.abs(ema_fast - ema_slow)
trend_up = (ema_fast > ema_slow) and (ema_gap > min_ema_gap)
trend_down = (ema_fast < ema_slow) and (ema_gap > min_ema_gap)
trend_flat = ema_gap <= min_ema_gap
rsi = ta.rsi(close, rsi_len)
bb_mid = ta.sma(close, bb_len)
bb_upper = bb_mid + bb_mult * ta.stdev(close, bb_len)
bb_lower = bb_mid - bb_mult * ta.stdev(close, bb_len)
// ===== SUPPORT / RESISTANCE =====
pivot_high = ta.pivothigh(high, sr_len, sr_len)
pivot_low = ta.pivotlow(low, sr_len, sr_len)
var line sup_lines = array.new_line()
var line res_lines = array.new_line()
if show_sr and not na(pivot_low)
l = line.new(bar_index - sr_len, pivot_low, bar_index, pivot_low, color=sr_support_col, width=2, extend=extend.right)
array.push(sup_lines, l)
if show_sr and not na(pivot_high)
l = line.new(bar_index - sr_len, pivot_high, bar_index, pivot_high, color=sr_resist_col, width=2, extend=extend.right)
array.push(res_lines, l)
// Delete old S/R lines
if array.size(sup_lines) > 0
for i = 0 to array.size(sup_lines) - 1
l = array.get(sup_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(sup_lines, i)
break
if array.size(res_lines) > 0
for i = 0 to array.size(res_lines) - 1
l = array.get(res_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(res_lines, i)
break
// ===== BUY / SELL CONDITIONS =====
buy_cond = trend_up and not trend_flat and ta.crossover(ema_fast, ema_slow) and rsi < rsi_oversold and close < bb_lower
sell_cond = trend_down and not trend_flat and ta.crossunder(ema_fast, ema_slow) and rsi > rsi_overbought and close > bb_upper
// ===== SIGNAL PLOTS =====
plotshape(buy_cond, title="Buy Signal", location=location.belowbar, color=neon_teal, style=shape.labelup, text="BUY", size=size.small)
plotshape(sell_cond, title="Sell Signal", location=location.abovebar, color=neon_red, style=shape.labeldown, text="SELL", size=size.small)
// ===== EMA LINES =====
plot(show_ema ? ema_fast : na, color=neon_orange, title="EMA Fast", linewidth=2)
plot(show_ema ? ema_slow : na, color=neon_purple, title="EMA Slow", linewidth=2)
// ===== STRONG BOLLINGER BAND CLOUD =====
plot_bb_upper = plot(show_bb ? bb_upper : na, color=color.new(neon_yellow, 20), title="BB Upper")
plot_bb_lower = plot(show_bb ? bb_lower : na, color=color.new(neon_gray, 20), title="BB Lower")
plot(bb_mid, color=color.new(neon_gray, 50), title="BB Mid")
// More visible BB cloud (stronger contrast)
bb_cloud_color = trend_up ? color.new(neon_teal, 40) : trend_down ? color.new(neon_red, 40) : color.new(neon_gray, 70)
fill(plot_bb_upper, plot_bb_lower, color=show_bb ? bb_cloud_color : na, title="BB Cloud")
// ===== BACKGROUND COLOR (TREND ZONES) =====
bgcolor(show_bg ? (trend_up ? color.new(neon_teal, 92) : trend_down ? color.new(neon_red, 92) : color.new(neon_gray, 94)) : na)
// ===== ALERTS =====
alertcondition(buy_cond, title="Buy Signal", message="Buy signal triggered. Check chart.")
alertcondition(sell_cond, title="Sell Signal", message="Sell signal triggered. Check chart.")
Smart Cloud by Ilker (Custom Matriks)A Proprietary Hybrid Trend System for All Major Financial Assets
This indicator, originally developed for the Matriks platform, is a highly effective hybrid trend identification system designed for day-to-day analysis across all major asset classes, including Stocks, Forex, Indices, and Cryptocurrencies. It combines the forward-looking principle of the Ichimoku Kinko Hyo Cloud with heavily smoothed Moving Averages (MAs) to create a clear, visually guided trading signal. (Daily Timeframe recommended for optimal results).
📊 Algorithmic Structure and Parameters
The "Smart Cloud" utilizes six primary user-adjustable parameters that govern its sensitivity and shape, moving away from standard Ichimoku settings to provide a robust, customized trend view:
P1, P2, P3 (60, 56, 248): These long-term settings define the core structure and width of the cloud, acting as the primary dynamic support and resistance zone. The significantly longer P3 (Lagging Period) ensures the cloud reflects strong, deep market cycles.
P4 (Displacement 26): Maintains the traditional Ichimoku principle of projecting the cloud 26 periods forward to provide a predictive view of future trend support/resistance.
P5 (MA50 - Blue) & P6 (MA10 - Purple): These are the two primary Moving Averages plotted inside the cloud. They serve as fast-response momentum lines:
P5 (MA50): Represents the middle-term trend average.
P6 (MA10): Represents the short-term market momentum.
📈 Core Trend and Signal Interpretation
The indicator provides powerful trend identification based on three key components:
The Cloud (Kumo):
Green Cloud (Bullish): Indicates the dominant trend is up, suggesting dynamic support for price action.
Red Cloud (Bearish): Indicates the dominant trend is down, suggesting dynamic resistance.
The thickness and slope of the cloud are key indicators of trend strength.
MA Crossover Signal (Blue/Purple):
Buy Signal: When the faster Purple MA (P6=10) crosses above the slower Blue MA (P5=50).
Sell Signal: When the faster Purple MA (P6=10) crosses below the slower Blue MA (P5=50).
Price Action & Confirmation:
The most powerful signals occur when a MA Crossover is confirmed by price breaking out of the cloud in the same direction.
Price above the cloud and MA crossover to the upside suggests a strong buy entry.
Disclaimer: This tool is intended for analysis and decision-making support. It is not financial advice. Always use stop-loss orders and manage your risk accordingly.
Aspects of Mars-Saturn by BTThis script displays the most commonly used aspects between Mars and Saturn. It uses a +/-2 degree orb (deviation), meaning the script shows the dates when the calculated distance between Mars and Saturn is within a 2 degree deviation of a major aspect.
Most of the astrological applications uses 3 degree or more for orb however this will cause chart overload. So please keep in mind to consider a couple of dates before or after if you want to use bigger orb.
The script includes an option to plot only the start date of sequential aspect events to reduce visual clutter and improve chart clarity. It currently covers dates from 2020 to 2030, but more will be added soon.
Currently available aspects:
Conjunction - 0 Degree
Opposition - 180 Degree
Trine - 120 Degree
Square - 90 Degree
Sextile - 60 Degree
Inconjunction - 150 Degree
Semi-Sextile - 30 Degree
Semi-Square - 45 Degree
Sesquiquadrate - 135 Degree
Sector Performance (2x12 Grid, labeled)Sector Performance Dashboard that tracks short-term and multi-interval returns for 24 major U.S. market ETFs. It renders a clean, color-coded performance grid directly on the chart, making sector rotation and broad-market strength/weakness easy to read at a glance.
The dashboard covers t wo full rows of liquid U.S. sector and thematic ETFs, including:
Row 1 (Core Market + GICS sectors)
SPY, QQQ, IWM, XLF, XLE, XLRE, XLY, XLU, XLP, XLI, XLV, XLB
Row 2 (Extended industries / themes)
XLF, XBI, XHB, CLOU, XOP, IGV, XME, SOXX, DIA, KRE, XLK, VIX (VX1!)
Key features include:
Time-interval selector (1–60 min, 1D, 1W, 1M, 3M, 12M)
Automatic rate-of-return calculation with inside/outside-bar detection
Two-row, twelve-column grid with dynamic layout anchoring (top/middle/bottom + left/center/right)
Uniform white text for clarity, while inside/outside candles retain custom colors
Adaptive transparency rules (heavy/avg/light) based on magnitude of % change
Ticker label normalization (cleans up prefixes like “CBOE_DLY:”)
Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic
Overview
The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum.
The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise.
This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts.
Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation.
Theoretical Foundation
The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points.
The Reduced-Lag CMO augments this foundation with three key mechanisms:
Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts.
Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics.
Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay.
The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance.
How It Works
The Reduced-Lag CMO is constructed through a multi-stage process:
Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure.
Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator.
Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force.
Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion.
Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition.
A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events.
Interpretation
The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure:
Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks.
Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness.
Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue.
Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals.
Signal Architecture
The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection.
Standard Signals - Triangles:
Triggered by momentum flips confirmed by velocity.
Represent moderate-intensity directional changes.
Appear at zero-line crosses or ±50 rejections with aligned velocity.
Strong Signals Triangles + Diamonds:
Triggered when acceleration confirms the directional change.
Represent high-intensity, high-conviction shifts.
Rare by design; indicate robust momentum inflections.
Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise.
Strategy Integration
Trend Confirmation : Align zero-line flips with higher-timeframe directional bias.
Reversal Detection : Strong signals from ±50 zones highlight potential inflection points.
Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum.
Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion.
Confluence Mapping : Pair with structure-based indicators to filter signals in context.
Technical Implementation Details
Core Engine : Classical CMO with Ehlers reduced-lag extension
Lag Reduction : Dual EMA filtering
Smoothing : Optional SMA/EMA/WMA post-filter
Multi-Layer Curve : Shadow, midline, main
Signal System : Two-tier momentum-acceleration framework
Pressure Zones : ±50 statistically validated thresholds
Cooldown Logic : Bar-indexed suppression
Gradient Mapping : Encodes magnitude and direction
Alerts : Standard and strong signals
Optimal Application Parameters
Timeframes:
1 - 5 min : Intraday momentum tracking
15 - 60 min : Trend rotations & volatility transitions
4H - Daily : Macro momentum exhaustion & re-accumulation mapping
Suggested Ranges:
CMO Length : 7 - 12
Reduced-Lag Length : 5 - 15
Smoothing : 10 - 20
Cooldown Bars : 5 - 15
Performance Characteristics
High Effectiveness:
Markets with directional pulses & clean pressure transitions
Trending phases with measurable pullbacks
Instruments with stable volatility cycles
Reduced Edge:
Choppy consolidations
Ultra-low volatility environments
Disclaimer
The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Volume Peak Box📄 English Description
Overview
The Volume Peak Box indicator highlights periods of unusually high volume by identifying volume spikes using Bollinger Bands on volume and drawing a price-range box around each spike window. This provides traders with a clear visual representation of supply/demand imbalances, absorption zones, and breakout/false-break areas.
All calculations come from one unified concept: detecting statistically significant volume peaks on a locked timeframe and mapping them onto the chart.
Concept & Logic
1. Locked Timeframe Volume Analysis
Instead of using the current chart timeframe, this script allows users to lock volume analysis to any timeframe (e.g., 60m, 4H, 1D).
The script retrieves from the chosen timeframe:
Volume
High price
Low price
This allows volume structure from higher timeframes to be used while trading lower timeframes.
2. Bollinger Bands on Volume
Volume volatility is analyzed using a standard Bollinger Band model:
Basis = SMA(volume, BB length)
Upper Band = Basis + (mult × standard deviation)
When:
Volume > Upper Band
→ This bar is classified as a Volume Peak.
This approach makes the peak detection statistically meaningful, instead of simply comparing raw volume to previous bars.
3. Peak Session Detection (Continuous Peaks Form One Box)
The script tracks continuous volume peaks:
When a peak starts → begin a session
While peaks continue → extend the session
When peaks end → session closes and a box is created
For each peak session, the script records:
Start bar index
End bar index
Highest high within the session
Lowest low within the session
These values determine the box boundaries.
This allows the indicator to group related peaks into a single price zone, instead of drawing a box for every bar.
4. Drawing the Volume Peak Box
When a session ends, the script draws:
A filled box covering the full price range
From startBar → endBar
Using user-defined:
Box fill color
Border color
Each box visually marks a region where strong participation entered the market, often signaling:
Breakout validation
Absorption zones
Supply/demand imbalance
High-activity trading decisions
How to Use
Use the boxes to identify high-volume reaction zones.
When price revisits a box:
Expect strong reactions (bounce, rejection, or absorption).
When price breaks out from a box:
Can signal continuation with momentum.
Lower-timeframe entry signals become more reliable when aligned with high-timeframe volume boxes.
Recommended to lock the TF to:
60m for intraday
4H or 1D for swing trading
Why This Script Is Original
It uses Bollinger Bands on volume, not price — a less common volatility-based method for detecting volume anomalies.
It groups continuous peaks into unified zones instead of treating each spike separately.
The ability to lock the volume analysis to a higher timeframe allows multi-timeframe volume interpretation without cluttering the chart.
Boxes give traders a clean and intuitive view of volume-based “decision zones”.
🇹🇭 Thai Description — คำอธิบายภาษาไทย
ภาพรวม
อินดิเคเตอร์ Volume Peak Box ใช้การตรวจจับ “Volume Peak” โดยใช้ Bollinger Band บน Volume แล้วสร้าง “กล่องช่วงราคา” ครอบช่วงที่มี Volume สูงผิดปกติ ทำให้เห็นบริเวณที่มีแรงซื้อขายเข้ามาอย่างชัดเจน เช่น จุด Breakout, จุด Absorption, หรือเขต Supply/Demand
แนวคิดและหลักการทำงาน
1. วิเคราะห์ Volume จาก Timeframe ที่ล็อกไว้
คุณสามารถเลือก TF ที่ต้องการให้ Volume ถูกนำมาคำนวณ เช่น 60 นาที, 4 ชั่วโมง, 1 วัน
แม้คุณจะเปิดกราฟ TF เล็ก เช่น 5m แต่กล่องยังอิง volume จาก TF ที่เลือกไว้ ทำให้ได้ “โซน Volume ใหญ่” ที่แม่นยำขึ้น
2. Bollinger Band บน Volume
ใช้ SMA + ส่วนเบี่ยงเบนมาตรฐานของ Volume เพื่อหา “จุดที่ Volume สูงกว่าปกติอย่างมีนัยสำคัญ”
เงื่อนไข Peak:
Volume > Upper Bollinger Band
นี่เป็นวิธีที่ดีกว่า “เทียบกับแท่งก่อนหน้า” เพราะคิดจากสถิติของทั้งช่วง
3. รวม Peak ต่อเนื่องเป็นกล่องเดียว
ถ้า Volume Peak เกิดต่อเนื่องหลายแท่ง:
จะถูกจับรวมเป็น Peak session เดียว
ใช้ High สูงสุด และ Low ต่ำสุดของทั้ง session
เมื่อ Peak จบ → วาดกล่องช่วงราคา
เหมาะกับการหาจุดที่ตลาดมีแรงเข้าซื้อ/ขายหนักในช่วงเวลาเดียวกัน
4. วาดกล่อง Volume Peak
กล่องจะครอบ:
ช่วงแท่งเริ่มต้น → แท่งสุดท้ายของ Peak
ความสูงของกล่อง = ช่วงราคาที่มี Volume สูงผิดปกติ
กล่องสามารถใช้เป็น:
โซน Breakout/Breakdown
โซน Supply/Demand
เขตที่ราคามักมี reaction
วิธีใช้งาน
ใช้กล่องเป็น “เขตการตัดสินใจ” (Decision Zone)
ราคาแตะซ้ำมักเกิดการกลับตัวหรือความผันผวนสูง
การทะลุกล่องบ่อยครั้งนำไปสู่ขาเทรนด์ใหญ่
เหมาะกับการใช้ร่วมกับ Price Action และโครงสร้างราคา
จุดเด่น / ความเป็น Original
ใช้ Bollinger Band บน Volume (น้อยอินดี้ทำ)
รวม Peak ต่อเนื่องเป็น session เดียว
วิเคราะห์ Volume ข้าม TF ได้ โดยไม่ต้องเปลี่ยน TF บนกราฟ
ได้ “โซน Volume สำคัญ” แบบชัดเจน อ่านง่าย ไม่รกจอ
MTF Checklist DashboardMTF Checklist Dashboard
Overview
The MTF Checklist Dashboard is an advanced multi-timeframe analysis tool that provides traders with a comprehensive visual dashboard to analyze market conditions across six customizable timeframes simultaneously. This indicator combines multiple technical analysis methods, including Opening Range Breakouts (ORB), VWAP, EMAs, and daily price levels, to generate high-probability confluence-based trading signals.
Unlike traditional single-timeframe indicators, this dashboard displays all critical information in one organized table, allowing traders to instantly identify when multiple timeframes align for optimal entry and exit opportunities.
Key Features
Multi-Timeframe Analysis
Analyzes up to 6 timeframes simultaneously (default: 1m, 5m, 15m, 30m, 1h, 4h)
Fully customizable timeframe selection via comma-separated input
Color-coded cells for instant visual recognition (green=bullish, red=bearish, yellow=neutral)
Technical Indicators Tracked
Current and previous candle direction
Opening Range Breakout (ORB) positioning with custom period
VWAP relationship (above/below)
200 EMA positioning
Daily and previous day high/low proximity
EMA crossovers (9 vs 21, both vs 200)
Advanced Signal Filtering System
Confluence scoring: Requires multiple timeframes to align (3-6 timeframes)
Higher timeframe confirmation: Ensures 30m/1h/4h agreement
Volume filter: Confirms signals with above-average volume (1.5x default)
ATR volatility filter: Validates sufficient market movement
Session timing: Restricts signals to optimal trading hours (EST)
Momentum confirmation: Requires recent directional strength
Range positioning: Blocks signals near daily extremes
Candle strength: Validates strong directional candles (60%+ body ratio)
Visual Signals
Optional entry arrows (above/below bars)
Background color highlighting
Organized dashboard with real-time price levels
ORB range, current day, and previous day summary rows
Alert Conditions
JSON-formatted alerts for automated trading integration
Separate alerts for long entry, short entry, long exit, and short exit
Compatible with webhook automation systems
How To Use
Dashboard Interpretation
The dashboard displays a color-coded table with the following columns:
TF: Timeframe being analyzed
C: Current candle (Green=bullish, Red=bearish)
P: Previous candle (Green=bullish, Red=bearish)
ORB: Opening Range Breakout position (A=Above, B=Below, W=Within)
VWAP: Price vs VWAP (A=Above, B=Below)
E200: Price vs 200 EMA (A=Above, B=Below)
D Hi/Lo: Proximity to current day high/low (Hi/Lo/Mid)
PD Hi/Lo: Proximity to previous day high/low (Hi/Lo/Mid)
9 vs 21: EMA 9 vs EMA 21 relationship (A=9 above 21, B=9 below 21)
9&21 v200: Both EMAs vs 200 EMA (>>=both above, <<=both below, <>=mixed)
Signal Generation
Long Entry Signal triggers when:
Minimum number of timeframes show bullish alignment (default: 5 of 6)
Higher timeframes (30m/1h/4h) confirm direction (default: 2 of 3)
Price breaks above ORB high with sufficient distance
Volume exceeds average by specified multiplier
ATR shows adequate volatility
Trade occurs during optimal session hours
Recent momentum is upward
Price not too close to daily high
Strong bullish candle forms
Short Entry Signal uses opposite conditions
Exit Signals trigger when opposing timeframe confluence reaches threshold (default: 3 timeframes)
Recommended Workflow
Select your asset and primary trading timeframe
Observe the dashboard - Look for rows showing mostly green (bullish) or red (bearish)
Wait for alignment - The indicator will show arrows when confluence requirements are met
Check the bottom rows - Review ORB levels and daily ranges for context
Set alerts - Enable TradingView alerts using the built-in alert conditions
Manage risk - Use appropriate position sizing and stop losses based on ORB range or daily ATR
Settings Guide
Basic Settings
Timeframes: Enter comma-separated values (e.g., "1,5,15,30,60,240")
Show Header: Toggle column headers on/off
ORB Minutes: Set opening range period (default: 15 minutes)
Near % for daily highs/lows: Define proximity threshold (default: 0.20%)
Use close for comparisons: Compare using close vs current price
Dashboard Position: Choose from 9 screen positions
Confluence Filters
Minimum Timeframes Aligned: Set required confluence (3-6, default: 5)
Require Higher Timeframe Confirmation: Toggle HTF requirement on/off
Min Higher Timeframes: Specify HTF agreement needed (1-3, default: 2)
Volume Filter
Volume Confirmation: Enable/disable volume filtering
Volume vs Average: Set multiplier threshold (default: 1.5x)
Volume Average Length: Period for volume average (default: 20 bars)
Volatility Filter (ATR)
Volatility Filter: Enable/disable ATR confirmation
ATR Length: Calculation period (default: 14)
Min ATR vs Average: Required ATR level (default: 0.5x = 50%)
ORB Filters
ORB Breakout Distance Required: Toggle distance requirement
Min Breakout % Beyond ORB: Additional breakout threshold (default: 0.10%)
Session Filter
Trade Only During Best Hours: Enable time-based filtering
Session 1: First trading window (default: 0930-1130 EST)
Session 2: Second trading window (default: 1400-1530 EST)
Momentum Filter
Recent Momentum Required: Enable directional momentum check
Lookback Bars: Period for momentum comparison (default: 3 bars)
Daily Range Filter
Block Signals Near Daily Extremes: Prevent entries at extremes
Distance from High/Low %: Minimum distance required (default: 2.0%)
Candle Filter
Strong Directional Candle: Require candle strength
Min Candle Body %: Body-to-range ratio threshold (default: 60%)
Visual Signals
Show Entry Signals: Master toggle for visual signals
Show Arrows: Display entry arrows on chart
Background Color: Enable background highlighting
Best Practices
Start with default settings and adjust based on your trading style and asset volatility
Higher confluence requirements (5-6 timeframes) produce fewer but higher-quality signals
Enable all filters for conservative trading; disable some for more frequent signals
Use the dashboard as confirmation alongside your existing trading strategy
Backtest on your specific instruments before live trading
Consider market conditions—trending vs ranging markets may require different settings
Alerts
This indicator includes four alert conditions with JSON formatting for webhook integration:
Long Entry Signal: Triggers when all long conditions are met
Short Entry Signal: Triggers when all short conditions are met
Long Exit Signal: Triggers when opposing confluence reaches exit threshold
Short Exit Signal: Triggers when opposing confluence reaches exit threshold
Alert messages include ticker symbol, action (buy/sell), price, and quantity for automated trading systems.
Important Notes
This indicator works best on liquid instruments with clear price action
Highly volatile markets may require adjusted ATR and ORB distance settings
Session times are in EST timezone—adjust if trading non-US markets
The ORB calculation requires sufficient price history for the day
Signals are generated in real-time but should be confirmed at candle close
Limitations
Maximum of 6 timeframes can be analyzed due to TradingView's security call limits
ORB calculations may not work correctly on instruments with gaps or irregular sessions
The indicator is most effective during regular market hours when volume and volatility are adequate
Lower timeframes (1m, 5m) may produce more false signals in choppy conditions
License
Mozilla Public License 2.0 (MPL-2.0)
This indicator is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute this code under the terms of the MPL-2.0. The full license text is available at mozilla.org
Key license provisions:
You may use this code commercially
You may modify and distribute modified versions
Modified versions must be released under the same license
You must include the original license notice in any distributions
No trademark rights are granted
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves substantial risk of loss. Always:
Practice proper risk management
Test thoroughly on paper/demo accounts before live trading
Use appropriate position sizing
Never risk more than you can afford to lose
Consult with a financial advisor for personalized advice
The creator assumes no liability for trading losses incurred using this indicator.
Version: 2.0
Pine Script Version: v6
Author: © EliasVictor
