Extended Macros (NW)Extended Macros (NW)
Visual timing tool for ICT-style 33-minute macro periods
Designed to be used on intraday time frames (1min to 5min)
What It Does
Highlights ten 33-minute institutional timing windows throughout the trading day.
Each macro appears as a horizontal line in the lower pane during its active period.
The Concept
Based on ICT's numerological timing theory where markets deliver on 3-6-9 harmonics:
Start: :42 minutes (4+2 = 6)
End: :15 minutes (1+5 = 6)
Duration: 33 minutes (3+3 = 6)
The number 6 represents delivery and entry timing. Traders watch for 9 patterns (reversals) within these windows.
Macro Periods
2:42-3:15 AM | 3:42-4:15 AM
7:42-8:15 AM | 8:42-9:15 AM | 9:42-10:15 AM
10:42-11:15 AM | 11:42-12:15 PM
12:42-1:15 PM | 1:42-2:15 PM | 2:42-3:15 PM
How To Use
Monitor for setups as macros begin (:42)
Watch for momentum shifts as macros end (:15)
Combine with market structure and liquidity analysis
Designed to be used on intraday time frames (1min to 5min)
Features
Toggle individual periods on/off
Customizable color and line thickness
Non-repainting fixed-time display
Shows all periods ahead of price
Note: This is a timing reference tool. Use with proper analysis and risk management.
אינדיקטורים ואסטרטגיות
Daily Levels (StevenCharts)The Daily Levels (StevenCharts) indicator is a comprehensive, all-in-one tool designed for intraday traders. It automatically plots all critical daily price levels, including the premarket high/low, previous day's high/low/close, and the current day's developing range (HOD/LOD).
What makes this indicator unique is its dynamic Fibonacci range that adapts to the day's price action and its "smart" labeling system that provides contextual clues (like "Swept" vs. "Broken") and combines labels to reduce chart clutter.
Key Features
Dynamic Reversing Fibs: The Fibonacci levels are drawn based on the current day's High-of-Day (HOD) and Low-of-Day (LOD). The range automatically reverses direction based on which extreme (HOD or LOD) was most recently made, providing relevant pullback targets in real-time.
"Golden Zone" Pullback Alert: The script includes a built-in alert that triggers when price makes a new HOD or LOD and then pulls back to touch the "Golden Zone" (defined between the 0.50 and 0.618 levels), signaling a potential continuation setup.
Smart "Swept" vs. "Broken" Logic: Levels like PDH, PDL, PMH, and PML aren't just static lines. The script intelligently labels them as "Swept" if price wicks past them or "Broken" if price closes and holds beyond them, giving you immediate contextual insight.
Clutter-Free "Combination" Labels: To keep your chart clean, the script automatically combines labels. If the day's high is also the premarket high, the label will read "HOD + PMH" instead of two overlapping labels.
Accurate RTH Previous Close: The script specifically requests the "Regular Trading Hours" (RTH) data to plot the official 4 PM EST previous day close (PDC), avoiding inaccuracies from extended hours data.
Full Level Plotting:
Current Day High-of-Day (HOD) & Low-of-Day (LOD)
Premarket High (PMH) & Low (PML) (locked in at 9:30 AM EST)
Previous Day's High (PDH) & Low (PDL)
Previous Day's Official RTH Close (PDC)
How to Use
This indicator provides a complete framework for intraday analysis.
Identify Key Levels: At the start of the session, all key levels (PDH/L, PMH/L, PDC) are clearly plotted, defining the initial areas of potential support and resistance.
Track the Trend: As the day progresses, watch the dynamic Fibs. If the market is making new highs, the Fibs will be drawn from the HOD down, showing pullback zones. If the market is making new lows, the Fibs will be drawn from the LOD up, showing bounce zones.
Use the Alert: The "Golden Zone Touch" alert is the primary trading setup.
For a Long: Wait for a new HOD to be set. The alert will trigger if the price then pulls back to the Golden Zone, offering a potential entry in the direction of the trend.
For a Short: Wait for a new LOD to be set. The alert will trigger if the price then bounces to the Golden Zone, offering a potential entry for a short.
Monitor Level Breaks: Use the "Swept" and "Broken" labels to confirm moves. A "Broken" level suggests a stronger, more decisive move, while a "Swept" level may indicate a stop hunt or liquidity grab.
Settings
The indicator is fully customizable. You can toggle any of the following features on or off to match your trading style:
Show Fibonacci Levels
Show Previous Day High/Low
Show Previous Day Close
Show Premarket High/Low
MAX SMC TV FULL AUTOPILOT v8 (Moteur+Confirmations)Apprentissage et formations seulement. ne pas ce fier au hub c'est indicatif seulement.
regarder le rouler et modifier les settings, il ma été très pratique....
Learning and training only. Do not rely on the hub, it is for reference only.
Watch the video and adjust the settings, it has been very useful for me....
VIX Spike/Drop TrackerWhat It Does
Core Functionality:
Monitors daily VIX percentage changes and identifies significant spikes (fear increases) and drops (fear decreases)
Backtests historical SPY performance following VIX events across multiple timeframes (1-day, 2-day, 3-day, and 1-week)
Calculates win rates and average returns for each scenario
Provides real-time VIX statistics including percentile rankings, distance from moving average, and momentum
Key Features:
Historical Analysis: Analyzes up to 2,500 bars of historical data to build robust statistical profiles
Dual Event Tracking: Separate statistics for VIX spikes (fear events) and VIX drops (fear subsiding)
Performance Metrics: Shows average SPY returns and win rates at 1, 2, 3, and 5-day intervals
VIX Context: Real-time VIX level, daily change, moving average distance, percentile rank, and 3-day momentum
Smart Predictions: Context-aware signals based on VIX patterns and consecutive spike/drop days
Visual Alerts: Chart annotations and background highlighting for significant events
How to Use It
Setup:
Add the indicator to your chart (works on any timeframe, but analyzes daily data)
Adjust the VIX threshold (default 10%) to define what constitutes a "significant" move
Set the historical lookback period (500 bars = ~2 years of data)
Reading the Statistics Table:
Left side: Statistics for VIX spikes (when fear increases)
Right side: Statistics for VIX drops (when fear decreases)
D1/D2/D3/Wk columns: Average SPY returns 1, 2, 3, and 5 days after the VIX event
Win %: Percentage of time SPY was positive at each interval
n: Sample size (number of historical events analyzed)
Bottom row: Current VIX statistics and market positioning
Interpreting Predictions:
🔴 "FEAR SPIKE - SPY LIKELY DOWN": VIX spiking, historical data shows negative SPY tendency
🟢 "FEAR SUBSIDING - SPY LIKELY UP": VIX dropping, historical data shows positive SPY tendency
🟠 "VIX ELEVATED - MEAN REVERSION DUE": VIX extended above its moving average
🟡 "VIX SUPPRESSED - COMPLACENCY RISK": VIX unusually low, potential volatility expansion ahead
Best Practices
Use this as a statistical context tool, not a standalone trading signal
Combine with your own technical analysis and risk management
Pay attention to win rates alongside average returns for edge assessment
Monitor consecutive spike/drop days for potential mean reversion setups
Higher sample sizes (n) provide more reliable statistics
Customization
Fully customizable colors, threshold levels, table size, and VIX moving average period. Enable/disable chart labels based on your preference for clean charts.
This indicator provides historical statistical context and does not guarantee future performance. Past results do not predict future outcomes.
H7This indicator quantifies real buying and selling pressure by tracking capital flow in and out of the market in real time. It converts every candle into an objective measure of money dominance rather than price noise.
It isolates aggressive buyers versus aggressive sellers, detects liquidity absorption, highlights shifts in control, and maps where capital is accumulating or exiting.
The tool is built for traders who want clarity on which side is actually financing the move.
It can be used on any timeframe and is optimized for trend confirmation, reversal detection, and high conviction entries.
SOZAY Advanced Trend Lines v6“SOZAY Advanced Trend Lines v6”
It automatically draws on the chart:
Downtrends (pivot high → lower new high)
Uptrends (pivot low → higher new low)
It can place H (High) and L (Low) labels on pivot points.
The most recent trend line is solid, and older ones can be shown as dashed if you want.
To avoid too many lines, it only keeps the last X trends (you set this value).
What do the settings mean?
Left Bars / Right Bars
Defines how many bars to the left and right must be lower/higher for a bar to be considered a pivot.
Higher values = fewer but “bigger” trends.
Lower values = more frequent, shorter-term trends.
Maximum number of trends to draw
The maximum number of trend lines that will be kept on the chart (e.g. 50).
Show Pivot H / L labels
Turns the H and L labels on or off.
Draw downtrends (High)
Enables or disables downtrend lines that start from pivot highs.
Draw uptrends (Low)
Enables or disables uptrend lines that start from pivot lows.
Uptrend / Downtrend color
The colors of the lines (typically green for up, red for down).
Show old lines as dashed
The newest trend line is solid; the previous line(s) of the same type are shown as dashed.
In summary:
This script automatically draws all possible uptrends and downtrends using pivot logic so you don’t have to draw trend lines manually. You just use the settings to decide how selective it should be.
Timed Swing Points [Free +] | cephxsTimed Swing Points | cephxs
This indicator is published under the Mozilla Public License 2.0. © cephxs, © fstarcapital
1. OVERVIEW
Timed Swing Points (TSP) highlights the timing of recent confirmed swing highs and lows and annotates them with context-aware time labels. Instead of drawing traditional pivot shapes and cluttering the chart, this streamlined free edition focuses on the temporal structure: WHEN pivots occur, not just WHERE . It helps discretionary traders quickly scan for clustering of swings around repeating intraday minutes or higher‑timeframe day names.
2. WHAT IT DOES
Detects swing highs and lows using a sensitivity factor (len)
Adds a time (or day name on daily timeframe) label at each qualified swing
Optional filtering to only show labels during defined "key time" minute windows
Automatically adapts label content to timeframe:
Intraday: HH:MM (24h or 12h model depending future input extension)
Daily: Full or abbreviated weekday names
Respects a maximum number of displayed swing points to keep charts clean
3. CORE FEATURES
Swing Detection: Uses ta.pivothigh(len, len) / ta.pivotlow(len, len); a pivot is confirmed only after enough bars pass, avoiding repaint on the current bar.
Time Labeling: Places labels offset back to the pivot bar index (bar_index - len).
Key Time Filtering: When enabled, labels only show if the pivot's minute is inside one of three windows: 00–10, 24–36, 50–59 minutes. These windows target common liquidity / volatility phases.
Day Name Mode: On daily timeframe, labels display full (e.g., Monday) or abbreviated (e.g., Mon) day names depending on the Full Day Names setting.
Point Limiting: Oldest labels are removed once Maximum Points Displayed is exceeded.
Clean Visual Footprint: Shape markers and lines are disabled in this free build (internally set to constants). Focus remains on time annotation density rather than price level persistence.
4. INPUTS & PARAMETERS
Sensitivity (len): Default 2. Swing pivot width. Higher = fewer, broader swings
Maximum Points Displayed: Default 10. Caps number of recent swing labels retained
Show Time Labels: Default true. Master toggle for all time labels
Key Times Only: Default true. Restricts labels to predefined minute windows
Prefix: Default blank. Optional text prepended to each label
High Time Color: Default red. Text color for swing high labels
Low Time Color: Default blue. Text color for swing low labels
Text Size: Default Small. Controls label text size (Tiny → Huge)
Full Day Names: Default true. Show full weekday names on daily timeframe
Internal Constants (Not User-Adjustable):
Shape display flags (show_high, show_low) set false
Line display and deletion logic present but disabled
Timezone currently fixed to America/New_York in Automatic mode; DST handled by TradingView engine
5. HOW SWING TIME IS DETERMINED
For each bar the script evaluates pivot conditions
A pivot is confirmed only after the right width (len) bars complete—the label is then placed len bars back
Time extraction uses the pivot's bar timestamp and converts:
Intraday: Formats HH:MM (24-hour). Infrastructure exists for future 12h toggle
Daily: Converts timestamp to a weekday name
Key time filter checks the pivot's minute bucket. If outside defined windows and filter is active, the label is skipped
6. TIME WINDOWS LOGIC (KEY TIMES ONLY)
Minutes 00–10 → Opening sequence & initial liquidity sweep
Minutes 24–36 → Post initial rotation / mid-hour inflection zone
Minutes 50–59 → Pre hour close / micro-structure reshuffle
ICT Traders: View as macros and note when macros form swing points
This pattern helps isolate intraday zones where structural shifts frequently occur, reducing noise from less consequential pivot timings.
7. USAGE GUIDELINES
Start with Sensitivity = 2 or 3 for most liquid intraday symbols. Increase on higher timeframes to avoid excessive clustering
Key Times Only ON: Ideal for focusing on session rotation pivots. OFF: Use for full discovery when studying custom time behaviors
Combine with volume profile or divergence tools to qualify time-labeled swings (e.g., a swing forming at 09:30 NY vs. random mid-bar)
Apply on lower timeframes (1–15m) to map recurring patterns or on Daily to see weekly rhythm changes
8. PERFORMANCE & LIMITATIONS
Efficient: Only stores arrays of recent labels and prunes aggressively
No Alerts: Current version does not fire alerts (Future Pro+ variant may include swing-time alerting)
Timezone: Fixed to America/New_York
9. BEST PRACTICES
Use a neutral chart theme; contrasting label colors amplify swing clusters
When analyzing historical pattern reliability, temporarily raise Maximum Points Displayed to 50–100 then revert to lighter values for live trading
Prefix field: Add a tag like "T:" if mixing multiple custom time tools to differentiate label origin
10. FAQ
Q: Why do some expected swings not show?
If they confirm outside key minute windows and filtering is ON, they're intentionally suppressed.
Q: Can I get price levels drawn?
Not in this free build. Lines/shapes are disabled intentionally.
Q: Does it repaint?
Pivot confirmation waits for the right width; labels appear only after the swing is locked in. Past labels aren't retroactively moved.
Q: Can I monitor multiple symbols at once?
This version is single‑symbol; use layouts or Pro variants for multi-source overlays.
11. CHANGELOG
v1.0 (Initial Free Release): Core swing time labeling, key time filter, day name adaptation, performance improvements. More updates coming.
12. DISCLAIMER
This tool is an analytical overlay designed for timing context only. It is NOT a standalone buy/sell signal. Always validate swings with broader market structure, liquidity pools, and risk management. No guarantee of future performance.
If you find this useful and want advanced variants (alerts, multi‑timezone, clustering metrics), reach out via TradingView. Feedback drives improvements.
ICT/SMC DOL Detector PRO (Final)This indicator is designed to operate only on the 1-hour timeframe.
The ICT/SMC DOL Detector PRO is an educational indicator designed to identify and visualize Draw on Liquidity (DOL) levels across multiple time-frames. It tracks unmitigated daily highs and lows, clusters them into zones, and calculates confidence scores based on multiple factors including time decay, cluster size, and time-frame alignment.
This indicator is based on ICT (Inner Circle Trader) concepts and liquidity theory, which suggests that price tends to seek out areas of concentrated unfilled orders before reversing or continuing its trend.
What is a DOL (Draw on Liquidity)?
A Draw on Liquidity represents a daily high or low that has not been revisited (mitigated) by price. These levels act as "magnets" that draw price toward them because:
1. They represent untapped liquidity pools where unfilled orders exist
2. Market makers and institutions often target these levels to fill large orders
3. Price is drawn to these zones to clear pending orders
4. They can serve as potential reversal or continuation zones once liquidity is taken
Methodology
1. Level Tracking
The indicator monitors daily session highs and lows on the 1-hour time-frame, tracking:
- Session high price and time of formation
- Session low price and time of formation
- Whether each level has been breached (mitigated)
- Time elapsed since level formation
2. Clustering Algorithm
Unmitigated levels within a defined tolerance (default 0.5% of price) are grouped together to identify zones where multiple DOLs cluster. Larger clusters indicate stronger liquidity pools.
3. Confidence Scoring (The "AI" Logic)
Each DOL receives a confidence score (0-100%) based on three weighted factors. This is the core "AI" intelligence of the indicator:
**Factor 1: Cluster Size (50% weight)**
- Counts how many unmitigated levels exist within 0.5% of the price zone
- Formula: (levels_in_cluster / total_unmitigated_levels) × 50
- Logic: More unfilled orders clustered together = stronger liquidity pool = higher confidence
- Example: If 5 out of 10 total unmitigated levels cluster at 27,500, cluster score = (5/10) × 50 = 25%
**Factor 2: Time Decay (25% weight)**
- Calculates age of the level since formation
- Fresh levels (< 1 week old): Full 25% score
- Aging penalty: Loses 5% per week of age
- Maximum penalty: 25% (very old levels = 0% time score)
- Formula: max(0, 25 - (weeks_old × 5))
- Logic: Recent liquidity is more relevant than old liquidity that price has ignored for months
**Factor 3: Timeframe Alignment (25% weight)**
- Checks how many timeframes (1H, 4H, D1, W1) point in the same direction
- If multiple timeframes identify DOLs on the same side (all bullish or all bearish): Higher score
- If mixed signals: Lower score
- Formula: (aligned_timeframes / total_timeframes) × 25
- Logic: When multiple timeframes agree, the liquidity zone is validated across different time perspectives
**Total Confidence Score:**
```
Confidence = Cluster_Score + Time_Score + Alignment_Score
= (0-50%) + (0-25%) + (0-25%)
= 0-100%
```
**Example Calculation:**
```
DOL at 27,500:
- 6 out of 12 unmitigated levels cluster here → (6/12) × 50 = 25%
- Level is 2 weeks old → 25 - (2 × 5) = 15%
- 3 out of 4 timeframes bullish toward this level → (3/4) × 25 = 18.75%
- Total Confidence = 25% + 15% + 18.75% = 58.75% ≈ 59%
```
This mathematical approach removes subjectivity and provides objective, data-driven confidence scoring.
4. Multi-Timeframe Analysis
The indicator analyzes DOLs across four timeframes:
- **1H:** Intraday levels (fastest reaction)
- **4H:** Short-term swing levels
- **Daily:** Intermediate-term levels
- **Weekly:** Long-term structural levels
For each timeframe, it identifies:
- Highest confidence unmitigated high
- Highest confidence unmitigated low
- Directional bias (bullish if high > low confidence, bearish if low > high confidence)
5. Primary DOL Selection (AI Auto-Selection Logic)
When "Show AI DOL" is enabled, the indicator uses an automated selection algorithm to identify the most important targets:
**Step 1: Collect All Candidates**
The algorithm gathers all identified DOLs from all timeframes (1H, 4H, D1, W1) that meet minimum criteria:
- Must be unmitigated (not yet swept)
- Must have confidence score > 0%
- Must have at least 1 level in cluster
**Step 2: Calculate Confidence for Each**
Each candidate DOL receives its confidence score using the three-factor formula described above (Cluster + Time + Alignment).
**Step 3: Sort by Confidence**
All candidates are ranked from highest to lowest confidence score.
**Step 4: Select Primary and Secondary**
- **P1 (Primary DOL):** The DOL with the absolute highest confidence score
- **P2 (Secondary DOL):** The DOL with the second highest confidence score
**Why This Matters:**
Instead of manually scanning multiple timeframes and guessing which level is most important, the AI objectively identifies the two highest-probability liquidity targets based on quantifiable data.
**Example AI Selection:**
```
Available DOLs:
- 1H High: 27,400
- 4H High: 27,500
- D1 High: 27,500 ← P1 (Highest)
- W1 High: 27,650 ← P2 (Second Highest)
- 1H Low: 26,800
- D1 Low: 26,500
AI Selection:
P1 = 27,500 (Daily High with 92% confidence)
P2 = 27,650 (Weekly High with 88% confidence)
```
This provides a data-driven target selection rather than subjective manual interpretation. The AI removes emotion and bias, selecting targets based purely on mathematical probability.
Features
Why "AI" DOL?
The term "AI" in this indicator refers to the automated algorithmic selection process, not machine learning or neural networks. Specifically:
**What the AI Does:**
- Automatically evaluates all available DOLs across all timeframes
- Applies a weighted scoring algorithm (Cluster 50%, Time 25%, Alignment 25%)
- Objectively ranks DOLs by probability
- Selects the top 2 highest-confidence targets (P1 and P2)
- Removes human bias and emotion from target selection
**What the AI Does NOT Do:**
- It does not use machine learning or train on historical data
- It does not predict future price movements
- It does not adapt or "learn" over time
- It does not guarantee accuracy
The "AI" is simply an automated decision-making algorithm that applies consistent mathematical rules to identify the most statistically significant liquidity zones. Think of it as a "smart filter" rather than artificial intelligence in the traditional sense.
Visual Components
**Daily Level Lines:**
- Green lines: Unmitigated (not yet breached) levels
- Red lines: Mitigated (already breached) levels
- Dots at origin point showing where level was formed
- X marker when level gets breached
- Lines extend forward to show projection
**DOL Labels:**
- Display timeframe (1H, 4H, D1, W1) or "DOL" for AI selection
- Show confidence percentage in brackets
- Color-coded by timeframe:
- Lime: AI DOL (Smart selection)
- Aqua: 1-hour timeframe
- Blue: 4-hour timeframe
- Purple: Daily timeframe
- Orange: Weekly timeframe
**Info Box (Top Right):**
Displays comprehensive liquidity metrics:
- Total levels tracked
- Active (unmitigated) levels count
- Cleared (mitigated) levels count
- Flow direction (BID PRESSURE / OFFER PRESSURE)
- Most recent sweep
- Primary and Secondary DOL targets
- Multi-timeframe bias analysis
- Overall directional bias
Settings Explained
**Daily Levels Group:**
- Show Daily Highs/Lows: Toggle visibility of all daily level tracking
- Unbreached Color: Color for levels not yet hit
- Breached Color: Color for levels that have been swept
- Show X on Breach: Display marker when level is breached
- Show Dot at Origin: Display marker at level formation point
- Line Width: Thickness of level lines (1-5)
- Line Extension: How many bars forward to project (1-24)
- Max Days to Track: Historical lookback period (5-200 days)
**DOL Settings Group:**
- Cluster Tolerance %: Price range to group DOLs (0.1-2.0%)
- Show Price on Labels: Display actual price value on labels
- Backtest Mode: Only show recent labels for clean historical analysis
- Labels Lookback: Number of bars to show labels when backtesting (10-500)
**Info Box Group:**
- Show Info Box: Toggle info panel visibility
**DOL Toggles Group:**
- Show AI DOL: Display smart auto-selected primary target
- Show 1HR DOL: Display 1-hour timeframe DOLs
- Show 4HR DOL: Display 4-hour timeframe DOLs
- Show Daily DOL: Display daily timeframe DOLs
- Show Weekly DOL: Display weekly timeframe DOLs
**Advanced Group:**
- Manual Mode: Simplified display showing only daily high/low clusters
How to Use This Indicator
Educational Application
This indicator is intended for educational purposes to help traders:
1. **Understand Liquidity Concepts:** Visualize where unfilled orders may exist
2. **Identify Key Levels:** See where price may be drawn to
3. **Analyze Market Structure:** Understand how price interacts with liquidity
4. **Study Multi-Timeframe Alignment:** Observe when multiple timeframes agree
5. **Learn ICT Concepts:** Apply liquidity theory in practice
Interpretation Guidelines
**BID PRESSURE (Flow):**
When lows are being swept more than highs, it suggests:
- Sell-side liquidity being taken
- Potential for upward move to unfilled buy-side liquidity
- Market may be clearing the way for a bullish move
**OFFER PRESSURE (Flow):**
When highs are being swept more than lows, it suggests:
- Buy-side liquidity being taken
- Potential for downward move to unfilled sell-side liquidity
- Market may be clearing the way for a bearish move
**Confidence Scores:**
- 90-100%: Very high probability zone (strong cluster, recent, aligned)
- 80-89%: High probability zone (good cluster, relatively recent)
- 70-79%: Moderate probability zone (decent cluster or older)
- 60-69%: Lower probability zone (small cluster or very old)
- Below 60%: Weak zone (minimal confluence)
**Timeframe Analysis:**
- All timeframes LONG: Strong bullish alignment
- All timeframes SHORT: Strong bearish alignment
- Mixed: Conflicting signals, exercise caution
- Higher timeframes (D1, W1) carry more weight than lower (1H, 4H)
**DIRECTIONAL Indicator:**
- BULLISH: Overall bias suggests upward movement toward buy-side DOLs
- BEARISH: Overall bias suggests downward movement toward sell-side DOLs
- NEUTRAL: No clear directional bias, conflicting signals
Practical Application Examples
**Example 1: Bullish Setup**
```
Flow: BID PRESSURE (lows being swept)
P1: 27,500 (price above current market)
D1: LONG 27,500
W1: LONG 27,650
DIRECTIONAL: BULLISH
```
Interpretation: Price has cleared sell-side liquidity. High confidence buy-side DOL at 27,500. Daily and Weekly timeframes aligned bullish. Watch for move toward 27,500 target.
**Example 2: Bearish Setup**
```
Flow: OFFER PRESSURE (highs being swept)
P1: 26,200 (price below current market)
D1: SHORT 26,200
W1: SHORT 26,100
DIRECTIONAL: BEARISH
```
Interpretation: Price has cleared buy-side liquidity. High confidence sell-side DOL at 26,200. Daily and Weekly timeframes aligned bearish. Watch for move toward 26,200 target.
**Example 3: Mixed Signals - Wait**
```
Flow: BID PRESSURE
P1: 26,800
D1: LONG 27,000
W1: SHORT 26,200
DIRECTIONAL: NEUTRAL
```
Interpretation: Conflicting signals. Flow suggests up, but Weekly bias is down. Confidence scores moderate. Better to wait for clarity.
Important Considerations
This Indicator Does NOT:
- Predict the future
- Guarantee profitable trades
- Provide buy/sell signals
- Replace proper risk management
- Work in isolation without other analysis
This Indicator DOES:
- Visualize liquidity concepts
- Identify potential target zones
- Show timeframe alignment
- Calculate objective confidence scores
- Help understand market structure
Proper Usage:
1. Use as one component of a complete trading strategy
2. Combine with price action analysis
3. Confirm with other technical indicators
4. Consider fundamental factors
5. Always use proper risk management
6. Backtest any strategy before live trading
Risk Disclaimer
**FOR EDUCATIONAL PURPOSES ONLY**
This indicator is for educational purposes only. Trading financial markets involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
**Important Limitations:**
- No indicator is 100% accurate, including the AI selection
- The "AI" is an automated algorithm, not predictive artificial intelligence
- DOL levels can be swept and price can continue in the same direction
- Confidence scores are mathematical calculations, not predictions or probabilities of success
- High confidence does not mean guaranteed profit
- Markets can remain irrational longer than you can remain solvent
- Always use stop losses and proper position sizing
**Understanding the AI Component:**
The AI auto-selection feature uses a fixed mathematical formula to rank DOLs. It does not:
- Predict where price will go
- Learn from past performance
- Adapt to market conditions
- Guarantee any level of accuracy
The confidence score represents the mathematical strength of a liquidity cluster based on objective factors (cluster size, recency, timeframe alignment), NOT a probability of the trade succeeding.
**Risk Warning:**
Trading is risky. Most traders lose money. This indicator cannot change that fundamental reality. Use it as an educational tool to understand market structure, not as a trading signal or system.
Technical Requirements
- **Timeframe:** Best used on 1-hour charts (required for accurate daily level tracking)
- **Markets:** Works on any market (forex, crypto, stocks, futures, indices)
- **Updates:** Real-time calculation on each bar close
- **Resources:** Uses max 500 lines and 500 labels (TradingView limits)
Backtesting Features
The indicator includes "Backtest Mode" to keep historical charts clean:
- When enabled, only shows labels from recent bars
- Adjustable lookback period (10-500 bars)
- All lines remain visible
- Helps review past setups without clutter
To use:
1. Enable "Backtest Mode" in settings
2. Adjust "Labels Lookback" to desired period
3. Review historical price action
4. Disable for live trading
Credits and Methodology
This indicator implements concepts from:
- ICT (Inner Circle Trader) liquidity theory
- Smart Money Concepts (SMC)
- Order flow analysis
- Multi-timeframe analysis principles
The clustering algorithm, confidence scoring, and timeframe synthesis are original implementations designed to quantify and visualize these concepts.
Version History
**v1.0 - Initial Release**
- Multi-timeframe DOL detection
- Confidence scoring system
- Info box with liquidity metrics
- Backtest mode for clean charts
- Black/white professional theme
Support and Updates
For questions, feedback, or suggestions, please use the TradingView comments section. Updates and improvements will be released as needed based on user feedback and market evolution.
**Remember:** This is an educational tool. Successful trading requires knowledge, discipline, risk management, and continuous learning. Use this indicator to enhance your understanding of market structure and liquidity, not as a standalone trading system.
Asia & UK Sessions (CT) w/ Same-Day Dotted LinesUpdated time frames on how to locate the Asia and UK time frames with a dotted line for reference.
The trading time frames for each are as follows:
Asia: 17:00 - 4:00 (Central Time)
UK/London: 2:00 - 7:30 (Central Time)
NHEST Liquidity Ultra Minimal (Short Labels)
NHEST Liquidity Ultra Minimal is a clean, lightweight, and distraction-free liquidity mapping tool designed for traders who want institutional-grade clarity without chart noise.
It highlights only the most important liquidity zones — nothing extra, nothing cluttered — giving you a pure view of where price is most likely to react, reverse, or sweep.
✔ Ultra-Minimal Design
This indicator removes all unnecessary visuals and focuses solely on key liquidity levels derived from price structure. No boxes, no labels, no shading overload — just the critical price zones that matter.
✔ Smart Liquidity Levels
NHEST Liquidity Ultra Minimal automatically detects major liquidity pools such as:
• Buy-side liquidity (BSL) above price
• Sell-side liquidity (SSL) below price
• Primary and secondary liquidity shelves
These levels help traders anticipate where smart money may target next.
✔ Higher-Timeframe Stability
Built to work cleanly across all timeframes, from scalping to swing trading. Liquidity zones update smoothly and remain stable even during high-volatility conditions.
✔ Perfect for Smart Money Concepts (SMC)
This indicator is ideal for traders who follow:
• ICT concepts
• Liquidity hunts
• Market structure
• Breakers & mitigation blocks
• Sweep-into-imbalance setups
✔ No Lag — No Repaints
All levels are calculated in real-time using non-repainting logic.
✔ Clean Visuals for Any Style
Whether you’re using a dark chart or a white chart, NHEST Liquidity Ultra Minimal keeps your workspace clean, organized, and easy to read — perfect for professional analysis, live streaming, and trading education content.
⸻
How to Use
1. Identify zones above price (BSL) as potential liquidity targets for bullish expansions.
2. Identify zones below price (SSL) as downside liquidity targets for bearish expansions.
3. Expect price to gravitate toward the nearest liquidity pool during consolidation.
4. Use the levels to anticipate sweeps, reversals, or continuation moves.
⸻
Best For
• Smart money traders
• Gold (XAUUSD) traders
• Crypto, Forex, Indices
• Scalpers & intraday traders
• Price-action purists
• Traders who want a clean chart
⸻
Disclaimer
This script is for educational purposes only and is not financial advice.
Always use proper risk management.
By NHEST TRADING LLC
IMS 4H Structural Framework (MA / Pivot / MTF Levels)IMS 4H Structural Framework (MA / Pivot / MTF Levels)
✅ SHORT, COMPLIANT DESCRIPTION (Invite-Only Safe)
Description:
This tool visualizes a 4H Institutional Market Structure (IMS) framework by combining three workflow components into a single structural map—MA-based bias shifts, pivot-derived 4H trendlines, and multi-timeframe (1H/45m) structural levels.
It does not generate signals or performance claims.
The framework is designed purely for visual, discretionary analysis of structural flow, risk context, and higher-timeframe alignment.
Core Components:
• 4H Bias Shift (MA): Highlights directional bias transitions.
• 4H Trendlines (Pivot-Based): Shows structural slopes and reaction zones.
• MTF Levels (1H & 45m): Adds micro-structure inside the 4H box for refinement.
• Caution Zones: Marks potential reaction areas near support/resistance or trendlines.
• Dashboard: Displays bias context and educational guidance only.
Intended Use:
For traders who analyze 4H structural flow and wish to visualize bias, context, and multi-timeframe alignment—not for automation or signals.
________________________________________
✅ SHORT, SAFE DISCLAIMER (Invite-Only Approved)
Disclaimer:
This tool is for educational and informational purposes only.
It does not provide trading signals, financial advice, or performance guarantees.
All decisions remain solely with the user.
PLANBXPRESS BUY/SELL MAGNETThis indicator is a technical analysis tool that identifies potential buying and selling points in the market. It does this by leveraging a signal library imported from `yashgode9/signalLib/2`, which contains predefined algorithms for analyzing market trends based on specified parameters.
Key Features
1.Input Parameters: The indicator allows users to customize several parameters:
- Depth: Determines the number of bars to look back for price analysis (default is 150).
- Deviation: Sets the threshold for price movement (default is 120).
- Backstep: Defines how many bars to step back when evaluating signals (default is 100).
- Label Transparency: Adjusts the transparency of labels displayed on the chart.
- Color Customization: Users can specify colors for buy and sell signals.
2.Signal Generation: The core functionality is driven by the `signalLib.signalLib` function, which analyzes the low and high prices over the specified depth and deviation. It returns a direction indicator along with price points (`zee1` and `zee2`) that are used to determine whether to issue a buy or sell signal.
3. Labeling and Visualization:
- The indicator creates labels on the chart to indicate buy and sell points based on the direction of the signal.
- Labels are color-coded according to user-defined settings, enhancing visual clarity.
- The indicator also manages the deletion of previous labels and lines to avoid clutter on the chart.
4. Repainting Logic: The script includes a repainting option, allowing it to update signals in real-time as new price data comes in. This can be beneficial for traders who want to see the most current signals but may also lead to misleading signals if not used cautiously.
Kindly use it with your Price Action knowledge
FVG Snper PRO🎯 FVG Sniper — Fair Value Gap Signal Engine
FVG Sniper is a professional imbalance-based entry tool built around the Nasdaq futures (NQ/MNQ) — but the signal logic is general enough to apply to many liquid instruments (indices, FX, crypto, metals).
It automatically detects Fair Value Gaps (FVGs), tracks their lifecycle, and fires rule-based long/short signals only when price shows decisive intent away from those imbalances.
🔍 What FVG Sniper Does
Detects FVGs automatically (no pivots)
Uses a strict 3-candle pattern to locate bullish and bearish imbalances directly from price action.
Tracks each FVG over time
For every FVG, FVG Sniper tracks:
When it was created
Whether it has ever been tapped
Whether it has been tapped since the last trade
Whether it has been invalidated (“inversion close”)
Session-gated execution
FVGs can be formed and tapped any time.
Only bars inside a defined signal session (e.g. 09:30–12:00 New York time) are allowed to trigger entries.
FVGs are only eligible if they were created on the same trading day as the signal and after a specific time cutoff (e.g. 08:30 ET).
Tap-aware, breakout-based entries
The indicator looks for:
An FVG that has been tapped at least once since the last signal (if tap is required).
A decisive breakout of the previous bar’s high or low coming off that FVG.
Multi-strategy overlay (for advanced use)
On top of the core engine, FVG Sniper offers several optional “Sniper profiles” (strategies) tuned around:
Session timing (e.g. morning / midday windows)
Volatility regimes
Lane cleanliness / opposite-side structure behavior
Range context (distance from session extremes)
You can toggle these profiles on/off to restrict signals to specific conditions — but the exact internal filters and thresholds are not disclosed.
If at least one profile is enabled, a signal prints when any enabled profile likes the setup.
If no profiles are enabled, FVG Sniper shows the raw base FVG breakout signals from the core engine.
🧠 How to Use It
Primary use case: intraday futures (NQ/MNQ) on 1M timeframe.
FVG Sniper works best as:
A signal engine feeding your execution plans, or
A confirmation layer on top of your own context (HTF bias, news, higher-timeframe levels, etc.).
🎨 Visuals & Controls
Bullish and bearish FVG zones are drawn directly on the chart.
Optional mid-lines through each FVG.
Automatic delete or “fade” behavior when FVGs are invalidated.
Clear long/short markers at the signal bar.
Optional debug label to inspect which FVG produced the signal and key reference times.
⚠️ Disclaimer
This script is for educational and research purposes only and is not financial advice.
Past performance does not guarantee future results. Always validate any signal logic in a simulator and adapt it to your own risk management, instrument, and timeframe.
Trading Sessions ConstructorHello friends,
This tool is designed for traders who want a clean, flexible way to visualize trading sessions directly on the chart. It lets you highlight key market sessions (London, New York, Tokyo, Sydney, custom specifications, etc.), add rich visual structure around them, and optionally track basic statistics - all in a highly customizable and timezone-aware format.
🛠️ How It Works
The indicator lets you define up to 8 separate sessions , each with its own name, timezone, and active days of the week. Sessions can share one common timezone or use individual timezones, depending on how you prefer to track global markets.
For each session, the script builds a visual "frame" around price action:
it can draw a box around the full range, plot high/mid/low lines, show a title label above price, and optionally display a box stats label with session metrics (such as volume or pips range).
A progress indicator at the bottom of the chart helps you see how much of the current session has already passed, while an optional summary table aggregates statistics across all visible sessions for quick comparison.
🔥 Key Features
Up to 8 configurable sessions with their own names, timezones, and weekdays
Option to use one common timezone for all sessions or separate timezones per session
Custom session titles with flexible label positioning and size
Customizable vertical start-line
Customizable session box
Per-session box stats label with selectable metrics
Independent high, mid, and low lines with full style and width control
Optional background shading to highlight active trading hours
Bottom progress indicator (◼) showing how much of the session has elapsed
Optional statistics table summarizing all visible sessions
📸 Visual Examples
1. Background + High/Mid/Low lines + Session names above high
2. Background + Boxes + Session names above high
3. Background + Vertical start-line + Session names at the bottom
4. Background + Vertical start-line + Session names at the top + Bottom progress indicator
5. Background + Session names at the bottom + Bottom progress indicator 👋 Good luck and happy trading!
סקריפט בתשלום
7 EMA Cross StrategyKhanaal Traders.7 EMA Cross Strategy is a visual tool designed to display a structured group of seven Exponential Moving Averages (EMAs) and highlight moments when these averages form specific alignment conditions. The script supports two optional interpretation modes:
• A sequential alignment mode, where EMAs arrange themselves in order relative to one another.
• A multi-step pattern mode, where the chart price interacts with all EMAs while alignment is present.
The script includes adjustable periods for each EMA, customizable colors, and optional multi-timeframe filtering, allowing users to compare alignment conditions between a higher timeframe and the chart’s timeframe. It also provides optional markers that appear when alignment begins, when alignment is lost and regained, or when repetitive markers are allowed.
Additional features include:
• Individual EMA visibility toggles
• Background highlighting based on alignment conditions
• Optional retest-based marker behavior
• Optional alert conditions tied to alignment events
This tool is intended to help users observe EMA structure, visualize trend organization, and study how multiple EMAs behave together across different timeframes.
Financial Stress Conditions Proxy | QuantLapse📘 Financial Stress Conditions Proxy | QuantLapse
Overview:
The Financial Stress Conditions Proxy (FSCP) by QuantLapse is a multi-factor quantitative indicator that measures systemic financial stress across key macro and liquidity benchmarks.
By blending the High-Yield Spread (BAMLH0A0HYM2), Volatility Index (VIX), Secured Overnight Financing Rate (SOFR), and Reverse Repo Operations (RRPONTSYD) into a unified z-score model, this tool visualizes the market’s underlying tension and relief cycles — conditions often associated with risk-off capitulation and market bottoms.
Each component is normalized via a z-score transformation to express how far current readings deviate from historical means, then averaged into a composite “Financial Stress Score.” The result is a dynamic, color-coded column plot that shifts hue as systemic risk compresses or expands.
Purpose
I built this model to track stress inflection points in the global financial system — particularly to identify moments when macro fear, liquidity withdrawal, and volatility compression converge.
These events often precede bottoming phases across risk assets such as equities and crypto.
The indicator serves as a quantitative proxy for the psychological extremes of the market:
Red tones (high stress): systemic strain, deleveraging, or panic phases — potential long-term opportunity zones.
Yellow-green transition: normalization, improving liquidity conditions.
Blue-teal range: stability and low-stress periods — often mid-cycle.
High Stress zones (Quantitative Tightening) -> Red and Orange
Neutral Zones -> Green and Yellow
Low Stress Zone (Quantitative Easing) --> Green to Blue
How It Works
Inputs & Data Sources
BAMLH0A0HYM2 → High-Yield Corporate Bond Spread (credit stress).
VIX → Implied volatility (equity market fear).
SOFR → Funding rate indicator (short-term liquidity).
RRPONTSYD → Reverse repo operations (systemic liquidity absorption).
Normalization Process
Each data stream is smoothed using a user-defined moving average and standard deviation window (default 150 periods).
A z-score is computed:
𝑍=𝑋−Mean/Standard Deviation
The four z-scores are averaged to produce a single composite stress score.
Color Encoding
The composite score is segmented into 16 calibrated stress bands (from +1.6 to −1.6).
Each band corresponds to a color — red at the top for maximum stress, shifting to bright greens and teals as stress subsides.
Colors are assigned dynamically to the plotted columns, creating an intuitive “heat bar” of systemic tension over time.
Interpretation
Rising, bright red columns: liquidity tightening, macro uncertainty, or panic — potential market bottom zones when fear peaks.
Fading yellow → green: stabilization, easing conditions, and early recovery.
Cool blue/teal tones: complacency or extended calm — often late-cycle risk.
Use the FSCP as a macro overlay, not a direct buy/sell trigger.
Its purpose is to provide environmental context — showing when the market is collectively stressed versus when liquidity and confidence return.
Trading Applications
Bottom Detection:
Historically, sustained red/orange conditions have coincided with market capitulation (macro or crypto bottoms).
Watch for color transitions from red → orange → yellow as potential recovery signals.
Risk Management:
Avoid leverage or high exposure when the score is rising rapidly into red zones.
Gradually scale exposure as colors normalize.
Macro Confirmation Tool:
Combine with RSI, breadth indicators, or on-chain data to confirm reversals.
Works well on daily or weekly timeframes for swing and position traders.
Customization
Adjustable lookback periods for mean and standard deviation (default 150).
Works on all markets (equities, crypto, forex) since it sources macroeconomic benchmarks directly.
Can be layered with volatility or liquidity indicators for confirmation.
Why I Built It (originality)
Markets bottom when fear meets exhaustion.
I wanted a tool that quantified that fear in real-time — not by price patterns, but by systemic stress itself.
By merging credit risk, volatility, funding rates, and central bank operations, this model provides a quantitative heartbeat of the financial system — and it visually shows when that heartbeat skips a beat.
In my own trading, I use FSCP to identify macro dislocations and liquidity events that typically precede large recoveries.
It’s not about prediction — it’s about positioning yourself when the system is stretched too far.
Best Practices
Use on higher-timeframe charts (D/W) for context.
Combine with your technical system for entries/exits.
Treat extreme stress as potential accumulation zones, not immediate buy signals.
Allow several sessions of color normalization before confirming reversals.
Disclaimer
This indicator is for educational and research purposes only.
It is not financial advice and does not guarantee future results. Always combine with your own analysis and risk controls before trading decisions.
Summary
The Financial Stress Conditions Proxy translates complex inter-market data into an easy-to-read, color-coded stress bar.
It visually captures the emotional and systemic pulse of global markets — helping traders recognize when panic is peaking and opportunity is quietly forming.
Use it as your quant compass for navigating bottoms in volatile markets.
MultiSymbol StochRSI+LinReg Scanner (3/5/10m) - 6 symbols (v6)3 5 10 dk aralığında en dip seviyede RSI en düşük iken alarm veren gösterge
Firegenie Gold BotHow It Works
This stripped-back version of my "Vantage" indicator logic is designed to do one thing well: identify high-quality momentum breaks on XAUUSD and trade them with disciplined risk management. Almost all the complexity of the full algorithm has been removed so users can see the core idea clearly.
The core concept
The bot waits for signs that gold has just made a strong push into a fresh extreme during the active session and may be ready to snap back. When a valid setup appears, the bot prepares a trade with predefined stop loss and take profit levels based on volatility (ATR). If price confirms the reversal, it enters automatically and manages the exit.
It never overtrades, it never fights momentum blindly, and it does not chase entries. One or two trades per day maximum.
________________________________________
1. Session logic
The bot divides the day into two parts:
• Pre-session (1800–0345 London time)
No trades allowed. It simply looks at how price behaved during this quiet period and decides whether the general drift was bullish or bearish.
• Active session (everything outside pre-session)
This is where trading is allowed. The bot resets its internal counters and keeps track of the highs and lows made during the session.
Only the active session produces trades.
________________________________________
2. When it looks for a trade
A potential setup can only form when:
• the bot is not already in a trade
• the daily limit (max 2 positions) has not been reached
• the current day is not blocked due to major events (FOMC, holidays, etc.)
• price is making a fresh high or low relative to recent bars
• volatility is elevated (using a Williams Vix-Fix style calculation)
• short-term and medium-term EMAs agree on direction
The bot isn’t trying to predict tops or bottoms blindly. It waits for:
A strong push into a fresh extreme, combined with a volatility spike that often marks exhaustion.
This is the heart of the strategy.
________________________________________
3. How entries actually trigger
The bot prepares a setup as soon as the push candle qualifies, but it does not enter immediately. The entry only triggers if price retraces back through the open of the setup candle.
In other words:
• Long entry: price must dip below the setup candle’s open
• Short entry: price must rise above the setup candle’s open
This prevents chasing. It forces the bot to buy low after a high-volatility push down, or sell high after a high-volatility push up.
If price never retraces through the setup level, no entry is taken.
________________________________________
4. Stop loss and take profit
Stops and targets are dynamic.
• Stop loss: ATR × fixed multiplier
• Take profit: reward-to-risk (1.8R in this version)
• TP zone: 90 percent of TP, used for early break-even logic
• Break-even: if price moves far enough towards target, the stop is pulled to entry
Everything is placed the moment the trade triggers, and the bot manages it from there.
________________________________________
5. Trade management
Once a trade is active, the bot monitors four things:
1. Full TP hit
2. TP-zone hit + break-even activated
3. Stop loss hit
4. Emergency stop (rare edge case)
When the bot exits, it logs key stats and won’t re-enter until conditions reset.
________________________________________
6. Daily rhythm
The bot is built around discipline, not activity.
• Up to two positions per day.
• Only during the active session.
• Never trades during pre-session.
• Avoids known high-risk days entirely.
• Each closed trade updates win/loss/breakeven counts and streaks.
This helps keep results stable and avoids death by overtrading.
________________________________________
7. What the user sees on the chart
You’ll see:
• Entry flags
• Take profit markers
• Stop loss crosses
• Lines for SL, TP, BE-threshold, open-level
• A simple stats panel summarising performance
It’s designed to be easy to follow visually, even if you ignore the hundreds of lines powering the engine.
________________________________________
This version of the bot:
identifies high-volatility exhaustion at fresh extremes, waits for a confirmation retrace, enters with volatility-based risk, and exits cleanly with fixed rules.
It’s a simplified expression of the Vantage philosophy:
trade fewer setups, trade only the cleanest reversals, and let discipline do the heavy lifting.
K线Delta显示(带总和)//@version=5
indicator("K线Delta显示(带总和)", overlay=true)
// 输入参数
show_labels = input.bool(true, title="在K线上显示Delta值")
show_cumulative = input.bool(true, title="显示累计Delta")
period_length = input.int(24, title="计算周期", minval=1)
// 数值格式化函数 - 将大数字转换为K/M/B单位
format_number(value) =>
abs_value = math.abs(value)
if abs_value >= 1000000000
str.tostring(value / 1000000000, "#.##") + "B"
else if abs_value >= 1000000
str.tostring(value / 1000000, "#.##") + "M"
else if abs_value >= 1000
str.tostring(value / 1000, "#.##") + "K"
else
TMAX Divergence by ericfreemanTMAX Divergence 是一套由 EricFreeman 開發的 RSI 背離偵測指標，用於捕捉市場反轉的關鍵位置。
此指標透過：
RSI(14) 高檔/低檔（預設 70 / 30）
價格與 RSI 的高低點不一致（背離）
Pivot 高低點辨識 + 等待最多 X 根 K
ATR x 倍數的 TP / SL 視覺化顯示
協助交易者明確判斷市場是否出現「動能減弱 → 可能反轉」的訊號。
特點：
自動標註看漲 / 看跌背離
可調參數：Pivot、等待 K 棒、ATR 倍數、RSI 區間
不下單、不回測，純視覺輔助
TP / SL 以菱形標示，方便手動交易判斷
適用於：加密貨幣、外匯、指數、股票
此指標屬於 TMAX 系列的一部分，未來將推出更多趨勢與反轉工具。
TMAX Divergence is an RSI-based divergence detection indicator developed by EricFreeman, designed to identify early reversal signals in the market.
This tool analyzes:
RSI(14) overbought & oversold zones (default 70/30)
Bullish & bearish divergences between price and RSI
Pivot-based swing high/low detection
Optional waiting period (X candles) after divergence
ATR-based TP/SL visualization
to help traders spot potential momentum loss and trend reversals.
Features:
Auto-detection of bullish & bearish divergences
Fully adjustable settings: Pivot size, wait bars, ATR multipliers, RSI levels
Pure indicator (no orders, no backtesting)
TP/SL displayed with diamonds for manual trading reference
Works on crypto, forex, stocks, and indices
Part of the growing TMAX indicator series designed for trend and reversal analysis.
Major Crypto Relative Strength Portfolio System Majors RSPS - Relative Strength Portfolio System for Major Cryptocurrencies
Overview
Majors RSPS (Relative Strength Portfolio System) is an advanced portfolio allocation indicator that combines relative strength analysis, trend consensus, and macro risk factors to dynamically allocate capital across major cryptocurrency assets. The system leverages the NormalizedIndicators Library to evaluate both absolute trends and relative performance, creating an adaptive portfolio that automatically adjusts exposure based on market conditions.
This indicator is designed for portfolio managers, asset allocators, and systematic traders who want a data-driven approach to cryptocurrency portfolio construction with automatic rebalancing signals.
🎯 Core Concept
What is RSPS?
RSPS (Relative Strength Portfolio System) evaluates each asset on two key dimensions:
Relative Strength: How is the asset performing compared to other major cryptocurrencies?
Absolute Trend: Is the asset itself in a bullish trend?
Assets that show both strong relative performance AND positive absolute trends receive higher allocations. Weak performers are automatically filtered out, with capital reallocated to cash or stronger assets.
Dual-Layer Architecture
Layer 1: Majors Portfolio (Orange Zone)
Evaluates 14 major cryptocurrency assets
Calculates relative strength against all other majors
Applies trend filters to ensure absolute momentum
Dynamically allocates capital based on comparative strength
Layer 2: Cash/Risk Position (Navy Zone)
Evaluates macro risk factors and market conditions
Determines optimal cash allocation
Acts as a risk-off mechanism during adverse conditions
Provides downside protection through dynamic cash holdings
📊 Tracked Assets
Major Cryptocurrencies (14 Assets)
BTC - Bitcoin (Benchmark L1)
ETH - Ethereum (Smart Contract L1)
SOL - Solana (High-Performance L1)
SUI - Sui (Move-Based L1)
TRX - Tron (Payment-Focused L1)
BNB - Binance Coin (Exchange L1)
XRP - Ripple (Payment Network)
FTM - Fantom (DeFi L1)
CELO - Celo (Mobile-First L1)
TAO - Bittensor (AI Network)
HYPE - Hyperliquid (DeFi Exchange)
HBAR - Hedera (Enterprise L1)
ADA - Cardano (Research-Driven L1)
THETA - Theta (Video Network)
🔧 How It Works
Step 1: Relative Strength Calculation
For each asset, the system calculates relative strength by:
RSPS Score = Average of:
- Asset/BTC trend consensus
- Asset/ETH trend consensus
- Asset/SOL trend consensus
- Asset/SUI trend consensus
- ... (all 14 pairs)
- Asset's absolute trend consensus
Key Logic:
Each pair is evaluated using the eth_4d_cal() calibration from NormalizedIndicators
If an asset's absolute trend is extremely weak (≤ 0.1), it receives a penalty score (-0.5)
Otherwise, it gets the average of all its relative strength comparisons
Step 2: Trend Filtering
Assets must pass a trend filter to receive allocation:
Trend Score = Average of:
- Asset/BTC trend (filtered for positivity)
- Asset/ETH trend (filtered for positivity)
- Asset's absolute trend (filtered for positivity)
Only positive values contribute to the trend score, ensuring bearish assets don't receive allocation.
Step 3: Portfolio Allocation
Capital is allocated proportionally based on filtered RSPS scores:
Asset Allocation % = (Asset's Filtered RSPS Score / Sum of All Filtered Scores) × Main Portfolio %
Example:
SOL filtered score: 0.6
BTC filtered score: 0.4
All others: 0
Total: 1.0
SOL receives: (0.6 / 1.0) × Main% = 60% of main portfolio
BTC receives: (0.4 / 1.0) × Main% = 40% of main portfolio
Step 4: Cash/Risk Allocation
The system evaluates macro conditions across 6 factors:
Inverse Major Crypto Trends (40% weight)
When BTC, ETH, SOL, SUI, DOGE, etc. trend down → Cash allocation increases
Evaluates total market cap trends (TOTAL, TOTAL2, OTHERS)
Stablecoin Dominance (10% weight)
USDC dominance vs. major crypto dominances
Higher stablecoin dominance → Higher cash allocation
MVRV Ratios (10% weight)
BTC and ETH Market Value to Realized Value
High MVRV (overvaluation) → Higher cash allocation
BTC/ETH Ratio (15% weight)
Relative performance between two market leaders
Indicates market phase (BTC dominance vs. alt season)
Active Address Ratios (5% weight)
USDC active addresses vs. BTC/ETH active addresses
Network activity comparison
Macro Indicators (15% weight)
Global currency circulation (USD, EUR, CNY, JPY)
Treasury yield curve (10Y-2Y)
High yield spreads
Central bank balance sheets and money supply
Cash Allocation Formula:
Cash % = (Sum of Risk Factors × 0.5) / (Risk Factors + Majors TPI)
When risk factors are elevated, cash allocation increases, reducing exposure to volatile assets.
📈 Visual Components
Orange Zone (Majors Portfolio)
Fill: Light orange area showing aggregate portfolio strength
Line: Average trend power index (TPI) of allocated assets
Baseline: 0 level (neutral)
Interpretation:
Above 0: Bullish allocation environment
Rising: Strengthening portfolio momentum
Falling: Weakening portfolio momentum
Below 0: No allocation (100% cash)
Navy Zone (Cash Position)
Fill: Navy blue area showing cash allocation strength
Line: Risk-adjusted cash allocation signal
Baseline: 0 level
Interpretation:
Higher navy zone: Elevated risk-off signal → More cash
Lower navy zone: Risk-on environment → Less cash
Zero: No cash allocation (100% invested)
Performance Line (Orange/Blue)
Orange: Main portfolio allocation dominant (risk-on mode)
Blue: Cash allocation dominant (risk-off mode)
Tracks: Cumulative portfolio returns with dynamic rebalancing
Allocation Table (Bottom Left)
Shows real-time portfolio composition:
ColumnDescriptionAssetCryptocurrency nameRSPS ValuePercentage allocation (of main portfolio)CashDollar amount (if enabled)
Color Coding:
Orange: Active allocation
Gray: Weak signal (borderline)
Blue: Cash position
Missing: No allocation (filtered out)
⚙️ Settings & Configuration
Required Setup
Chart Symbol
MUST USE: INDEX:BTCUSD or similar major crypto index
Recommended Timeframe: 1D (Daily) or 4D (4-Day)
Why: System needs price data for all 14 majors, BTC provides stable reference
Hide Chart Candles
For clean visualization:
Right-click on chart
Select "Hide Symbol" or set candle opacity to 0
This allows the indicator fills and table to be clearly visible
User Inputs
plot_table (Default: true)
Enable/disable the allocation table
Set to false if you only want the visual zones
use_cash (Default: false)
Enable portfolio dollar value calculations
Shows actual dollar allocations per asset
cash (Default: 100)
Total portfolio size in dollars/currency units
Used when use_cash is enabled
Example: Set to 10000 for a $10,000 portfolio
💡 Interpretation Guide
Entry Signals
Strong Allocation Signal:
✓ Orange zone elevated (> 0.3)
✓ Navy zone low (< 0.2)
✓ Performance line orange
✓ Multiple assets in allocation table
→ Action: Deploy capital to allocated assets per table percentages
Risk-Off Signal:
✓ Orange zone near zero
✓ Navy zone elevated (> 0.4)
✓ Performance line blue
✓ Few or no assets in table (high cash %)
→ Action: Reduce exposure, increase cash holdings
Rebalancing Triggers
Monitor the allocation table for changes:
New assets appearing: Add to portfolio
Assets disappearing: Remove from portfolio
Percentage changes: Rebalance existing positions
Cash % changes: Adjust overall exposure
Market Regime Detection
Risk-On (Bull Market):
Orange zone high and rising
Navy zone minimal
Many assets allocated (8-12)
High individual allocations (15-30% each)
Risk-Off (Bear Market):
Orange zone near zero or negative
Navy zone elevated
Few assets allocated (0-3)
Cash allocation dominant (70-100%)
Transition Phase:
Both zones moderate
Medium number of assets (4-7)
Balanced cash/asset allocation (40-60%)
🎯 Trading Strategies
Strategy 1: Pure RSPS Following
1. Check allocation table daily
2. Rebalance portfolio to match percentages
3. Follow cash allocation strictly
4. Review weekly, act on significant changes (>5%)
Best For: Systematic portfolio managers, passive allocators
Strategy 2: Threshold-Based
Entry Rules:
- Orange zone > 0.4 AND Navy zone < 0.3
- At least 5 assets in allocation table
- Total non-cash allocation > 60%
Exit Rules:
- Orange zone < 0.1 OR Navy zone > 0.5
- Fewer than 3 assets allocated
- Cash allocation > 70%
Best For: Active traders wanting clear rules
Strategy 3: Relative Strength Overlay
1. Use RSPS for broad allocation framework
2. Within allocated assets, overweight top 3 performers
3. Scale position sizes by RSPS score
4. Use individual asset charts for entry/exit timing
Best For: Discretionary traders with portfolio focus
Strategy 4: Risk-Adjusted Position Sizing
For each allocated asset:
Position Size = Base Position × (Asset's RSPS Score / Max RSPS Score) × (1 - Cash Allocation)
Example:
- $10,000 portfolio
- SOL RSPS: 0.6 (highest)
- BTC RSPS: 0.4
- Cash allocation: 30%
SOL Size = $10,000 × (0.6/0.6) × (1-0.30) = $7,000
BTC Size = $10,000 × (0.4/0.6) × (1-0.30) = $4,667
Cash = $10,000 × 0.30 = $3,000
Best For: Risk-conscious allocators
📊 Advanced Usage
Multi-Timeframe Confirmation
Use on multiple timeframes for robust signals:
1D Chart: Tactical allocation (daily rebalancing)
4D Chart: Strategic allocation (weekly review)
Strong Confirmation:
- Both timeframes show same top 3 assets
- Both show similar cash allocation levels
- Orange zones aligned on both
Weak/Conflicting:
- Different top performers
- Diverging cash allocations
→ Wait for alignment or use shorter timeframe
Sector Rotation Analysis
Group assets by type and watch rotation:
L1 Dominance: BTC, ETH, SOL, SUI, ADA high → Layer 1 season
Alt L1s: TRX, FTM, CELO rising → Alternative platform season
Specialized: TAO, THETA, HYPE strong → Niche narrative season
Payment/Stable: XRP, BNB allocation → Risk reduction phase
Divergence Trading
Bullish Divergence:
Navy zone declining (less risk-off)
Orange zone flat or slightly rising
Few assets still allocated but strengthening
→ Early accumulation signal
Bearish Divergence:
Orange zone declining
Navy zone rising
Asset count decreasing in table
→ Distribution/exit signal
Performance Tracking
The performance line (overlay) shows cumulative strategy returns:
Compare to BTC/ETH: Is RSPS outperforming?
Drawdown analysis: How deep are pullbacks?
Correlation: Does it track market or provide diversification?
🔬 Technical Details
Data Sources
Price Data:
COINEX: Primary exchange for alt data
CRYPTO: Alternative price feeds
INDEX: Aggregated index prices (recommended for BTC)
Macro Data:
Dominance metrics (SUI.D, BTC.D, etc.)
MVRV ratios (on-chain valuation)
Active addresses (network activity)
Global money supply and macro indicators
Calculation Methodology
RSPS Scoring:
For each asset, calculate 14 relative trends (vs. all others)
Calculate asset's absolute trend
Average all 15 values
Apply penalty filter for extremely weak trends (≤ 0.1)
Trend Consensus:
Uses eth_4d_cal() from NormalizedIndicators library
Combines 8 normalized indicators per measurement
Returns value from -1 (bearish) to +1 (bullish)
Performance Calculation:
Daily Return = Σ(Asset ROC × Asset Allocation)
Cumulative Performance = Previous Perf × (1 + Daily Return / 100)
Assumes perfect rebalancing and no slippage (theoretical performance).
Filtering Logic
filter() function:
pinescriptfilter(input) => input >= 0 ? input : 0
This zero-floor filter ensures:
Only positive trend values contribute to allocation
Bearish assets receive 0 weight
No short positions or inverse allocations
Anti-Manipulation Safeguards
Null Handling:
All values wrapped in nz() to handle missing data
Prevents calculation errors from data gaps
Normalization:
Allocations always sum to 100%
Prevents over/under-allocation
Conditional Logic:
Assets need positive values on multiple metrics
Single metric cannot drive allocation alone
⚠️ Important Considerations
Required Timeframes
1D (Daily): Recommended for most users
4D (4-Day): More stable, fewer rebalances
Other timeframes: Use at your own discretion, may require recalibration
Data Requirements
Needs INDEX:BTCUSD or equivalent major crypto symbol
All 14 tracked assets must have available data
Macro indicators require specific TradingView data feeds
Rebalancing Frequency
System provides daily allocation updates
Practical rebalancing: Weekly or on significant changes (>10%)
Consider transaction costs and tax implications
Performance Notes
Theoretical returns: No slippage, fees, or execution delays
Backtest carefully: Validate on your specific market conditions
Past performance: Does not guarantee future results
Risk Warnings
⚠️ High Concentration Risk: May allocate heavily to 1-3 assets
⚠️ Volatility: Crypto markets are inherently volatile
⚠️ Liquidity: Some allocated assets may have lower liquidity
⚠️ Correlation: All assets correlated to BTC/ETH to some degree
⚠️ System Risk: Relies on continued availability of data feeds
Not Financial Advice
This indicator is a tool for analysis and research. It does not constitute:
Investment advice
Portfolio management services
Trading recommendations
Guaranteed returns
Always perform your own due diligence and risk assessment.
🎓 Use Cases
For Portfolio Managers
Systematic allocation framework
Objective rebalancing signals
Risk-adjusted exposure management
Performance tracking vs. benchmarks
For Active Traders
Identify strongest assets to focus trading on
Gauge overall market regime (risk-on/off)
Time entry/exit for portfolio shifts
Complement technical analysis with allocation data
For Institutional Allocators
Quantitative portfolio construction
Multi-asset exposure optimization
Drawdown management through cash allocation
Compliance-friendly systematic approach
For Researchers
Study relative strength dynamics in crypto markets
Analyze correlation between majors
Test macro factor impact on crypto allocations
Develop derived strategies and signals
🔧 Setup Checklist
✅ Chart Configuration
Set chart to INDEX:BTCUSD
Set timeframe to 1D or 4D
Hide chart candles for clean visualization
Add indicator from library
✅ Indicator Settings
Enable plot_table (see allocation table)
Set use_cash if tracking dollar amounts
Input your portfolio size in cash parameter
✅ Monitoring Setup
Bookmark chart for daily review
Set alerts for major allocation changes (optional)
Create spreadsheet to track allocations (optional)
Establish rebalancing schedule (weekly recommended)
✅ Validation
Verify all 14 assets appear in table (when allocated)
Check that percentages sum to ~100%
Confirm performance line is tracking
Test cash allocation calculation if enabled
📋 Quick Reference
Signal Interpretation
ConditionOrange ZoneNavy ZoneActionStrong BullHigh (>0.4)Low (<0.2)Full allocationModerate BullMid (0.2-0.4)Low-MidStandard allocationNeutralLow (0.1-0.2)Mid (0.3-0.4)Balanced allocationModerate BearVery Low (<0.1)Mid-HighReduce exposureStrong BearZero/NegativeHigh (>0.5)High cash/exit
Rebalancing Thresholds
Change TypeThresholdActionIndividual asset±5%Consider rebalanceIndividual asset±10%Strongly rebalanceCash allocation±10%Adjust exposureAsset entry/exitAnyAdd/remove position
Color Legend
Orange: Main portfolio strength/allocation
Navy: Cash/risk-off allocation
Blue text: Cash position in table
Orange text: Active asset allocation
Gray text: Weak/borderline allocation
White: Headers and labels
🚀 Getting Started
Beginner Path
Add indicator to INDEX:BTCUSD daily chart
Hide candles for clarity
Enable plot_table to see allocations
Check table daily, note top 3-5 assets
Start with small allocation, observe behavior
Gradually increase allocation as you gain confidence
Intermediate Path
Set up on both 1D and 4D charts
Enable use_cash with your portfolio size
Create tracking spreadsheet
Implement weekly rebalancing schedule
Monitor divergences between timeframes
Compare performance to buy-and-hold BTC
Advanced Path
Modify code to add/remove tracked assets
Adjust relative strength calculation methodology
Customize cash allocation factors and weights
Integrate with portfolio management platform
Develop algorithmic rebalancing system
Create alerts for specific allocation conditions
📖 Additional Resources
Related Indicators
NormalizedIndicators Library: Core calculation engine
Individual asset trend indicators for deeper analysis
Macro indicator dashboards for cash allocation factors
Complementary Analysis
On-chain metrics (MVRV, active addresses, etc.)
Order book liquidity for execution planning
Correlation matrices for diversification analysis
Volatility indicators for position sizing
Learning Materials
Study relative strength portfolio theory
Research tactical asset allocation strategies
Understand crypto market cycles and phases
Learn about risk management in volatile assets
🎯 Key Takeaways
✅ Systematic allocation across 14 major cryptocurrencies
✅ Dual-layer approach: Asset selection + Cash management
✅ Relative strength focused: Invests in comparatively strong assets
✅ Trend filtering: Only allocates to assets in positive trends
✅ Dynamic rebalancing: Automatically adjusts to market conditions
✅ Risk-managed: Increases cash during adverse conditions
✅ Transparent methodology: Clear calculation logic
✅ Practical visualization: Easy-to-read table and zones
✅ Performance tracking: See cumulative strategy returns
✅ Highly customizable: Adjust assets, weights, and factors
📋 License
This code is subject to the Mozilla Public License 2.0 at mozilla.org
Majors RSPS transforms complex multi-asset portfolio management into a systematic, data-driven process. By combining relative strength analysis with trend consensus and macro risk factors, it provides traders and portfolio managers with a robust framework for navigating cryptocurrency markets with discipline and objectivity.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
