PIPSTA - Elliott Wave# 🎯 SK-Trading ABC - Stefan Style ULTIMATE
## Overview
This indicator implements an advanced ABC Elliott Wave pattern detection system with the unique "Stefan Style" approach. It identifies high-probability swing trading setups with multiple entry zones, automatic risk-reward calculation, and comprehensive alert system for hands-free trading.
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## 🔑 Key Features
### 1️⃣ **Intelligent ABC Pattern Recognition**
- Automatic detection of bullish and bearish ABC structures
- Validates retracement ratios (38.2% - 78.6%) for quality setups
- Configurable swing length for different timeframes
- Works on all markets: Forex, Stocks, Crypto, Indices
### 2️⃣ **Dual-Zone Entry System**
#### 🟣 **GKL-Zone (0→A) - Aggressive Entries**
- Available BEFORE pattern activation
- 4 Fibonacci entry levels: 0.5, 0.559, 0.618, 0.667
- For traders who want early positioning
- Purple-colored zone with clear labels
#### 🔵 **BC-Zone (B→A2) - Main Entry System** ⭐
- The "Stefan Style" innovation
- Activates AFTER close breaks Point A
- Tracks A2 (new high/low after activation)
- Entries based on B→A2 retracement (not traditional B→A)
- Tighter risk, better reward ratios
- Blue-colored zone - this is your PRIMARY trading area
### 3️⃣ **Smart Activation Logic**
✅ **Close-Based Activation** (Default)
- Waits for candle CLOSE beyond Point A
- Reduces false breakouts
- More reliable signals
⚡ **A2 Tracking with Locking**
- Monitors new extreme after activation
- Locks A2 on first activation to prevent whipsaws
- Creates stable entry zone
### 4️⃣ **Comprehensive Alert System** 🔔
Never miss a trade with 15+ alert types:
**Setup Alerts:**
- ✅ Pattern Activation (with entry instructions)
- 📍 4 GKL Entry levels (pre-activation)
- 🎯 4 BC-Zone Entry levels (post-activation)
**Trade Management Alerts:**
- 🛑 Stop Loss breach (auto-invalidation)
- 💰 Take Profit 1 (1.618 extension - move to BE)
- 💰 Take Profit 2 (1.809 extension)
- 💰💰 Take Profit 3 (2.0 extension - full target)
All alerts are **alert.freq_once_per_bar** to prevent spam!
### 5️⃣ **Built-in Risk Management**
- Fixed pip-based stop loss (default: 20 pips)
- Minimum RR ratio filter (default: 2.5:1)
- Auto-calculates R-multiples (2R, 3R markers)
- Shows individual RR for each entry level
- Visual SL and TP lines on chart
### 6️⃣ **Professional Dashboard** 📊
Real-time information panel showing:
- ✅ Trade Status: "TRADE BC-ZONE" or "WAIT"
- 📈 Trend Direction
- 🎯 Active Zone (GKL vs BC)
- 💵 All entry levels with prices
- 📍 Stop Loss and Take Profit levels
- 📏 Distance from current price to entries
- ⚖️ Individual RR ratio for each entry
### 7️⃣ **Visual Clarity**
- Color-coded zones and levels
- Clear 0-A-B-C labeling with prices
- "Consumed zones" tracking (grays out touched levels)
- Projection box for C target (1.618-2.0)
- GKL-Box for new cycle after C is reached
- A2 tracking line (dashed orange)
- Trade route arrow visualization
---
## ⚙️ **Settings & Customization**
### Structure Settings
- **Swing Length**: 5-30 (default: 10) - adjust for timeframe
- **Max Sequences**: 1-5 patterns displayed simultaneously
### Display Options
- Toggle C Target Box (1.618-2.0 extension)
- Toggle Activation Line
- Toggle R-Multiple markers
- Toggle GKL-Box after Point C
- Toggle GKL Pre-Activation Zone
- Toggle BC-Zone (main entry area)
### Trade Settings
- **Stop Loss**: 5-100 pips (default: 20)
- **Minimum RR**: 1.0-5.0 (default: 2.5)
### SK System Specific
- ✅ **Close-based Activation**: More reliable than wick breaks
- **Show GKL Pre-Zone**: See aggressive entries before activation
- **Show BC-Zone**: Your main trading area (B→A2)
---
## 📚 **How to Trade This System**
### 🟢 **Conservative Approach** (Recommended)
1. **Wait for Pattern Formation**: 0→A→B structure appears
2. **Wait for Activation Alert**: "🚀 BULLISH/BEARISH ACTIVATED"
3. **Check Dashboard**: Look for "✅ TRADE BC-ZONE"
4. **Set Limit Orders**: In BC-Zone (B→A2) at 0.5, 0.559, 0.618, 0.667 levels
5. **Set Stop Loss**: Below/Above Point B (shown in dashboard)
6. **Set Take Profits**: TP1 (1.618), TP2 (1.809), TP3 (2.0)
7. **Manage Trade**: Move SL to BE at TP1, partial profits at each TP
### ⚡ **Aggressive Approach** (Advanced)
1. **Enter GKL-Zone Pre-Activation**: Use purple zone (0→A retracements)
2. **Risk**: Pattern may not activate
3. **Reward**: Better entry prices if pattern works
4. **Alert**: "🟢/🔴 GKL ENTRY X REACHED - Aggressiv"
### 🎓 **Best Practices**
- ✅ Trade in direction of higher timeframe trend
- ✅ Use multiple entry levels (scale in)
- ✅ Respect minimum RR ratio
- ✅ Let TP3 run for full extension
- ❌ Don't chase after BC-zone is consumed
- ❌ Don't ignore activation requirement
- ❌ Don't trade against major news events
---
## 📊 **Recommended Timeframes**
- **H1 (1-Hour)**: Swing trades, 1-3 day holds
- **H4 (4-Hour)**: Multi-day swings
- **D1 (Daily)**: Position trades, weeks to months
- **Lower timeframes**: Possible but more noise
---
## 🎯 **What Makes This Different?**
### Traditional ABC vs. Stefan Style:
**Traditional ABC:**
- Entries: 50-61.8% retracement of A→B
- Based on original wave measurements
**Stefan Style (This Indicator):**
- Waits for activation (close beyond A)
- Tracks A2 (new extreme after activation)
- Entries: 50-66.7% of B→A2 (the BC-Zone)
- Tighter entries, better RR ratios
- More adaptive to actual price action
### Why BC-Zone Works:
After Point A is broken, the market often makes a new extreme (A2) before retracing. By using B→A2 as your entry reference, you're entering at better prices with tighter stops than traditional methods.
---
## 🔔 **Alert Setup Instructions**
1. Click "Add Alert" on TradingView
2. Condition: Select this indicator
3. Message: Use the built-in alert text (includes prices and instructions)
4. Options: "Once Per Bar Close" (already handled by indicator)
5. Send to: Email, SMS, Webhook, etc.
**You'll receive alerts for:**
- New setups detected
- Activation confirmations
- Entry level touches
- SL breaches
- TP levels reached
---
## 📈 **Performance Tips**
1. **Reduce Visual Load**: Disable unused features in settings
2. **Limit Sequences**: Set Max Sequences to 1-2 for cleaner charts
3. **Timeframe Sync**: Match swing length to your timeframe:
- M15: Swing 5-8
- H1: Swing 8-12
- H4: Swing 10-15
- D1: Swing 12-20
---
## ⚠️ **Disclaimers**
- This indicator is for **educational purposes** only
- Not financial advice - trade at your own risk
- Past performance doesn't guarantee future results
- Always use proper risk management (1-2% per trade)
- Test on demo account first
- Works best in trending conditions, avoid ranging markets
---
## 🛠️ **Technical Details**
- **Pine Script Version**: v6
- **Indicator Type**: Overlay
- **Resources**: Max 150 boxes, 200 lines, 120 labels
- **Pattern Detection**: Pivot-based with ratio validation
- **Alert Frequency**: Once per bar to prevent spam
---
## 📞 **Support & Community**
Join our Telegram channel for:
- Strategy discussions
- Setup examples
- Updates and improvements
- Community support
**Telegram**: @simpleforextools
---
## 🔄 **Version History**
**Current Version**: Ultimate Edition
- ✅ Dual-zone entry system
- ✅ Close-based activation
- ✅ A2 tracking with locking
- ✅ 15+ alert types
- ✅ Consumed zones tracking
- ✅ Professional dashboard
- ✅ RR calculation per entry
- ✅ GKL pre-activation zone
---
## 🏆 **Who Is This For?**
✅ **Perfect for:**
- Swing traders
- Elliott Wave practitioners
- Alert-based traders
- Systematic rule-followers
- Traders who scale into positions
❌ **Not ideal for:**
- Scalpers (too slow)
- Complete beginners (complex system)
- Range-bound market traders
---
## 💡 **Pro Tips**
1. **Confluence is King**: Best results when BC-Zone aligns with:
- Support/Resistance levels
- Fibonacci from higher timeframe
- Round numbers
- Previous structure
2. **Multi-Timeframe Approach**:
- HTF (H4/D1): Identify trend
- LTF (H1): Execute entries
- Use indicator on execution timeframe
3. **Risk Management**:
- Never risk more than 1-2% per trade
- Use multiple entries = divide risk across levels
- Move SL to BE aggressively after TP1
Buscar en scripts para "wave"
Advanced Elliott Wave PlotterAdvanced Elliott Wave plotter, Parameters can be adjusted.
AI Generated, so no particular credits to anyone.
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VWAP Wave System ToolkitGENERAL OVERVIEW:
The VWAP Wave System Toolkit is an all-in-one trading indicator based on rules from Auction Market Theory. The indicator is built around Volume-Weighted Average Prices (VWAP), Initial Balance (IB) levels, session/composite volume profiles, low-volume zones, optional candle coloring, trade checklists, dashboard readings, and a watermark.
This indicator was developed by Flux Charts in collaboration with Chris Drysdale (Trader Drysdale), author of the best-selling book VWAP Wave System.
What’s the purpose of this indicator?
The VWAP Wave System Toolkit helps traders see where market value is forming, shifting, or being rejected across different timeframes. It’s built on the ideas of Auction Market Theory, which views the market as a continuous auction between buyers and sellers searching for fair value. The indicator combines VWAPs, Initial Balance levels, and volume profiles into one system that shows how price interacts with value throughout the day, week, and month. By combining short-term and higher-timeframe data, it helps traders understand when the market is balanced and when it’s starting to discover new price areas.
What’s the theory behind this indicator?
This indicator is built on Auction Market Theory, introduced by J. Peter Steidlmayer. The theory says that markets operate as continuous auctions, constantly seeking a fair price where buyers and sellers agree on value. When price stays within a narrow range and volume builds up, the market is balanced around a value area. When price moves away from that area, the market enters price discovery, searching for a new zone of balance. VWAPs represent an evolving measure of value, while Volume Profiles and Initial Balance visualize how the auction developed during each session. Low Volume Zones often show where the market moved too quickly to trade efficiently, making them potential areas of interest for future reactions. By combining these elements, the indicator provides a picture of how the market is auctioning and where value may shift next.
VWAP WAVE SYSTEM TOOLKIT FEATURES:
The VWAP Wave System Toolkit indicator includes 7 main features:
Initial Balance Levels
Multi-Timeframe VWAPs
Session Volume Profile
Composite Volume Profile
Low Volume Zones
Checklist
Watermark
Initial Balance Levels:
🔹What is the Initial Balance?
The Initial Balance (IB) is defined by the high and low prices that form within a specific time window. Typically, this time window is the first hour after the regular day trading session starts (09:30 - 10:30 AM EST).
The high and low formed during this window create the foundation for the day’s price structure. From these two points, the indicator automatically calculates several key reference levels that show how far price has extended beyond the initial range or where it may still be balanced. Understanding how these levels are derived and how to interpret them is essential to using the Initial Balance effectively.
🔹How Initial Balance Levels are calculated:
Once the IB window closes, the indicator plots a full set of reference levels derived from the IB range. These levels are:
IB High
IB Low
IB Midpoint
x2 High / x2 Low
x2 Midpoints (x1.5 High/Low)
x3 High / x3 Low
x3 Midpoints (x2.5 High/Low)
🔹IB High & IB Low
The IB High is the highest price reached during the IB session window, and the IB Low is the lowest price reached.
🔹IB Midpoint
The IB Midpoint is the average of the IB High and IB Low.
🔹x2 High & x2 Low
The x2 levels are calculated by projecting one full IB Range above and below the Initial Balance. The IB Range is the distance between the IB High and IB Low.
🔹x2 High Midpoint & x2 Low Midpoint
The x2 High Midpoint (x1.5 High) is the average of the IB High and x2 High. The x2 Low Midpoint (x1.5 Low) is the average of the IB Low and x2 Low.
🔹x3 High & x3 Low
The x3 High/Low levels are calculated by projecting two full IB Range above and below the Initial Balance.
🔹x3 High Midpoint & x3 Low Midpoint
The x3 High Midpoint (x2.5 High) is the average of the x2 High and x3 High. The x3 Low Midpoint (x2.5 Low) is the average of the x2 Low and x3 Low.
🔹Breaks & Retests:
For every Initial Balance level, the indicator automatically tracks when price retests or breaks through them.
A Break occurs when a candle closes above or below an IB level. When this happens, the indicator plots a small blue triangle.
A Retest occurs when price approaches and touches an IB Level, and then reverses in the opposite direction. When this happens, the indicator plots a small green or red triangle.
Green Triangle: Bullish Retest - Price comes down to a level, touches it, and continues up.
Red Triangle: Bearish Retest - Price comes up to a level, touches it, and continues down.
Both breaks and retests are plotted directly on the chart for every toggled IB level. Once detected, they remain fixed and are not repainted.
Other Settings:
🔹Shade IB Range
When enabled, this setting fills the area between the IB High and IB Low (IB Range). The fill helps visually separate the Initial Balance range from the rest of the session, making it easier to identify when price is trading inside or outside of the IB. The color and opacity can also be adjusted through the settings.
🔹Apply One Color
When this setting is enabled, all toggled IB levels use the same color instead of the user’s inputted colors.
🔹Levels Labels
When enabled, text labels that identify each IB level (for example, “IB High,” “x2 High,” or “x2.5 Low”) appear next to each level.
🔹Price Labels
When enabled, the indicator displays the real-time price value of each IB level directly on the chart. These labels update automatically as price changes or when the levels shift due to recalculation from a new session.
🔹Extend Levels Right
When enabled, all toggled IB Levels will be extended infinitely to the right of the chart.
🔹Align Text Right
This setting aligns all level and price labels to the right edge of the plotted line. When disabled, text labels will be aligned to the left edge of each level.
Multi-Timeframe VWAPs:
🔹Why does this indicator include VWAPs?
This indicator includes VWAPs because they show where the most trading activity has occurred within each timeframe, helping identify the market’s fair value area. According to Auction Market Theory, price moves between periods of balance and imbalance as buyers and sellers seek fair value. VWAPs represent those balance points where the majority of trading has taken place. By plotting the Intraday, Weekly, and Monthly VWAPs, the indicator shows how value shifts across different timeframes and whether the market is balanced or moving toward a new area of value.
🔹Intraday VWAP
The Intraday VWAP measures the average traded price for the current trading session and resets each day at market open. It shows where most of the session’s trading has taken place, acting as a real-time fair value line. When price trades near the Intraday VWAP, the market is considered balanced. When price moves far above or below it, the market is exploring new value areas.
🔹Candle Coloring:
The Intraday VWAP candle coloring highlights how far price is trading from the session’s average value using the first and second standard deviation bands as visual reference zones. This feature helps users see whether price is balanced around fair value or expanding into an overextended area.
When candle coloring is enabled, each candle’s color changes based on where it closes relative to the two standard deviation bands surrounding the Intraday VWAP. The first band represents one standard deviation (1.0 STD) and the second represents one and a half standard deviations (1.5 STD).
If a candle closes above the upper 1.5 standard deviation band, it is colored a brighter green, showing strong movement above fair value. Candles closing between the upper 1.0 and 1.5 standard deviation bands are a lighter green, showing moderate strength. If a candle closes below the lower 1.5 standard deviation band, it is colored a brighter red, showing strong movement below fair value. Candles closing between the lower 1.0 and 1.5 standard deviation bands are a lighter red, showing moderate weakness. Candles that close within the ±1.0 standard deviation range remain their normal color, showing that price is balanced near the session’s average.
Both the VWAP line and its bands can be customized in the Intraday VWAP settings. Users can adjust the VWAP line color, band colors, and fill transparency. The candle colors can also be modified. The band sizes (1.0 STD and 1.5 STD by default) can be changed through their input multipliers, allowing users to control the sensitivity of the zones.
Please Note: This candle coloring applies only to the Intraday VWAP
🔹Weekly VWAP
The Weekly VWAP measures the average traded price across the current trading week and resets at the start of each new week. It reflects the fair value area that has developed over multiple trading days, providing a broader view of market balance compared to the Intraday VWAP. When price stays close to the Weekly VWAP, it indicates that the week’s trading activity is balanced. When price consistently trades above or below it, the market is moving away from that balance and forming value in a new area.
Standard Deviation Bands:
The Weekly VWAP includes optional standard deviation bands. Users can toggle 1x and 1.5x STD bands. Users can also adjust the multipliers.
Customization:
All colors for the Weekly VWAP and its standard deviation bands can be changed in the indicator’s settings. Users can adjust the VWAP line color, band colors, and fill transparency.
🔹Monthly VWAP
The Monthly VWAP measures the average traded price for the current month and resets on the first trading day of each new month. It provides the broadest view of value within this indicator, showing where the majority of trading has occurred during the current month. When price remains near the Monthly VWAP, it reflects long-term balance.
Standard Deviation Bands:
The Monthly VWAP includes optional 1x and 1.5x standard deviation bands that can be enabled or disabled. In the settings, users can adjust the standard deviation multipliers.
Customization:
The Monthly VWAP line, band colors, and fill transparency can all be modified in the indicator’s settings.
🔹VWAP Dashboard
The VWAP Dashboard provides a quick real-time overview of how price is positioned relative to the Intraday, Weekly, and Monthly VWAPs. It is displayed directly on the chart and updates automatically with each new candle.
The dashboard is divided into five labeled sections:
Intraday
Weekly
Monthly
Weekly STD
Monthly STD
Intraday, Weekly, and Monthly Sections:
These three sections show whether price is currently trading Above or Below each VWAP.
If price is above a VWAP, that section displays “Bullish”
If price is below a VWAP, that section displays “Bearish”
Weekly STD and Monthly STD:
These sections display whether price is currently inside or outside the standard deviation bands of the Weekly and Monthly VWAPs.
When price is trading within the ±1.0 standard deviation zone, the dashboard output is “Balanced Market”
When price is above the upper standard deviation, price is extending up beyond the week’s or month’s fair value, and the dashboard output is “Bullish Price Discovery”
When price is below the lower standard deviation, price is extending down beyond the week’s or month’s fair value, and the dashboard output is “Bearish Price Discovery”
🔹What is a Balanced Market
A balanced market occurs when price is trading within the ±1.0 standard deviation range of a VWAP. This shows that buyers and sellers are in general agreement on value, and trading activity is taking place around the fair value area. In this state, price tends to rotate around the VWAP rather than trend strongly away from it. Balance reflects stability in the auction process, where neither side is dominant and value is being built at current prices.
🔹What is Bullish Price Discovery
Bullish Price Discovery occurs when price trades above the upper standard deviation of a VWAP. This indicates that buyers are accepting higher prices and that value may be shifting upward. In terms of Auction Market Theory, the market is moving away from balance as it searches for a new fair value area above the prior range.
🔹What is Bearish Price Discovery
Bearish Price Discovery occurs when price trades below the lower standard deviation of a VWAP. This shows that sellers are accepting lower prices and that value may be developing beneath the prior area of balance. The market is moving out of equilibrium as participants test lower prices to find new fair value.
Session Volume Profile:
🔹Why this feature is included:
The Session Volume Profile is included to show where trading activity occurred within each session. It visually represents the volume traded at each price, helping to identify where market participants considered value to be. This ties directly to Auction Market Theory, which views markets as auctions seeking balance between buyers and sellers. The profile highlights those balance areas and shows where volume thins out, helping distinguish between value areas and areas of rejection.
🔹How is the Session Volume Profile calculated and displayed:
At the start of each selected session window, the indicator creates a new volume profile and tracks every bar in that session. For each candle, it saves the high, low, open, close, volume, and time. When the HD (High Definition) setting is enabled, and your chart is between the 1-minute and 30-minute timeframes (recommended), the indicator requests lower-timeframe data and feeds the profile with 1-minute candlesticks for more detail. The running session high and low define the vertical bounds of the volume profile. That span is split into a fixed number of rows. Each row represents a price slice. For every bar and every price row, the indicator checks whether the bar’s high-low range touches that row. If it does, it adds part of the bar’s volume to that row. The allocation uses a step-to-bar-size ratio, so that narrow bars do not overload a tall row and tall bars contribute proportionally across all rows they cross. If the bar closes above its open, that row’s “up” volume bucket is incremented. If it closes below its open, the “down” bucket is incremented. After all bars are processed, the row with the highest total becomes the Point of Control (POC). Starting from that row, the indicator expands upward and downward, adding adjacent rows until the cumulative total reaches your Value Area percentage. The upper boundary is Value Area High (VAH), and the lower boundary is Value Area Low (VAL).
For rendering, each price row becomes a horizontal box drawn from the session start time to a length proportional to that row’s volume versus the session’s maximum row volume. If you choose “Up / Down” volume, the row is split into two adjoining boxes that show the up and down portions. If you choose “Total,” a single box is drawn to the total length. If you choose “Delta,” the length reflects the absolute difference between up and down. The POC is drawn as a line across the row midpoint. VAH and VAL are drawn at the exact prices of the top and bottom value rows. While a session is open the profile keeps updating as new bars form. When the session ends, the script fixes its start and end and stops changing that profile. To avoid any issues with drawing limits, the indicator only renders the two most recent session volume profiles.
Settings:
🔹Enabled
Turns the Session Volume Profile on or off. When disabled, no session profiles, lines, or volume boxes are displayed.
🔹HD
Stands for High Definition. When enabled, the indicator requests data from the 1-minute timeframe to build a smoother, more detailed volume profile. This produces finer row distribution and more accurate POC, VAH, and VAL positioning, especially on higher chart timeframes.
🔹POC Line
Toggles the visibility of the Point of Control line. The POC represents the price level with the highest traded volume in the session. It’s drawn horizontally across the chart at that price, and its color can be customized in settings.
🔹VAH
Controls the display of the Value Area High line. The VAH is the top boundary of the range that contains the specified percentage of total traded volume (default 70%). It marks where volume starts to thin out above fair value. Users can turn it on or off and customize its color.
🔹VAL
Controls the display of the Value Area Low line. The VAL is the lower boundary of the value area and marks where volume thins out below fair value. Its visibility and color can also be customized.
🔹Session
This setting allows users to define the start and end time of the trading session used to calculate the session volume profile. Only bars within this time window are included in the volume profile. When a session ends, the volume profile locks, and a new one begins automatically when the next session begins based on the user’s input.
🔹Volume
Controls how the histogram rows are displayed:
Up/Down: Splits each price row into two parts: one for bullish candles (Up volume) and one for bearish candles (Down volume). This helps visualize buying versus selling pressure at each price.
Total: Combines both Up and Down volume into a single-colored bar for each price level. Since direction isn’t separated, this view focuses purely on where trading activity was concentrated, regardless of which side was in control. A tall bar means strong participation and interest at that price.
Delta: Displays the difference between up and down volume (Up/Down) for each row, highlighting which side controlled that price area.
🔹Value Area Volume
The Value Area Volume setting defines how much of the total session volume is considered the “value area.” By default, it’s 70%, meaning the indicator finds the price range where 70% of all trading took place during that session. This area is where buyers and sellers agreed the most on price, also known as the fair value zone.
If you increase the percentage (for example, to 80%), the value area becomes wider and includes more of the session’s trading range. Lowering it (for example, to 60%) makes it narrower, focusing only on the prices with the heaviest activity.
🔹Row Size
The Row Size controls how detailed the volume profile looks. It decides how many price levels (rows) the profile is divided into. Smaller values make the profile smoother and easier to read but less precise. Larger values add more detail and show exactly where volume clustered, but they can make the profile look denser.
The maximum value is 450 rows, and the minimum value is 5 rows. Higher values (especially above 200) can make the volume profile appear more detailed but may also cause performance issues or partial rendering on TradingView charts due to the platform’s drawing object limits. For most users, values between 50–150 give a good balance between clarity and performance.
25 Rows vs. 200 Rows:
Composite Volume Profile:
The Composite Volume Profile shows how volume is distributed across a larger selected range instead of just one session. It helps traders see where the most trading activity has taken place over multiple days. This gives a picture of long-term balance areas and important price zones that have repeatedly attracted buyers and sellers.
The Composite Profile uses the same base logic and visual settings as the Session Volume Profile, including POC Line, VAH, VAL, Volume Type, Value Area Volume, Row Size, and Colors. Any customization applied to those settings also affects the Composite Profile, ensuring a consistent appearance across both features.
🔹Session Count Setting:
This setting controls how many past sessions are merged into one composite volume profile. For example, if the Session Count is set to 5, and each session represents one trading day, the profile combines data from the last 5 trading days. A “session” refers to the time window defined in the Session Volume Profile settings.
🔹How is the Composite Volume Profile used?
In Auction Market Theory, markets move through phases of balance and imbalance as traders agree on value before moving to explore new ones. The Composite Volume Profile shows where that long-term balance has formed. Large, wide areas on the profile indicate zones where multiple sessions agreed on value. Thin areas show prices that were quickly rejected, where less time and volume were traded. Combining short-term session profiles into a composite helps identify when the market is holding near established value or entering new price discovery, confirming transitions between balance and price discovery.
Low Volume Zones:
🔹What are Low Volume Zones?
Low Volume Zones (LVZs) are price areas where trading activity was minimal compared to surrounding levels. On a volume profile, they appear as thin “valleys” between two high-volume “peaks.” These valleys show where the market moved too quickly for significant two-way trade to occur. In Auction Market Theory, they represent inefficient areas, meaning the market didn’t find fair value, so price either skipped through or rejected those levels.
🔹How are Low Volume Zones found?
The indicator identifies Low Volume Zones (LVZs) directly from Session Volume Profiles (SVPs) by analyzing the shape of its volume distribution. Each SVP is built from a series of horizontal rows, where each row represents the total traded volume within a narrow price range. The longer the row, the higher the trading activity at that price.
The indicator first locates the two largest high-volume peaks on the profile. These peaks represent the strongest areas of market activity. Once these two main peaks are found, the indicator looks on both sides of each peak for the lowest-volume row in the surrounding area. Those small-volume dips define the boundaries of the Low Volume Zones.
Each high-volume peak can therefore generate two LVZs (one above and one below it), resulting in a maximum of four Low Volume Zones per volume profile. If two LVZs overlap or share the same price range, they are automatically merged into a single larger zone, which may reduce the total count to three or fewer.
🔹How are Low Volume Zones used?
Low Volume Zones (LVZs) mark areas where the market previously traded with little participation. In Auction Market Theory, these zones represent inefficient price areas where buyers and sellers failed to agree on value. When price returns to an LVZ, it may act as an area where price tends to react differently due to lower previous trading activity. If the market still sees that area as unfair, price will reject it and reverse quickly. If the market now accepts that price level, volume builds and price moves through it smoothly as the auction seeks new balance. Traders use LVZs to identify where price may react sharply or move quickly through thin areas. When price approaches a zone from above or below, it signals potential rejection or continuation.
🔹LVZ Breaks and Retests
The indicator automatically tracks how price interacts with every detected LVZ.
A Break occurs when price fully moves through the entire LVZ and closes past it. When this happens, the indicator plots a small blue triangle.
A Retest occurs when price touches an LVZ and reverses away, showing rejection. When price comes down to a level, taps it, and continues up, it’s considered a bullish retest, and a small green triangle is plotted. When price comes up to a level, taps it, and continues down, it’s considered a bearish retest, and a small red triangle is plotted.
🔹LVZ Settings
Enabled:
Toggles LVZ detection and visualization on or off.
Realtime:
Allows LVZs to form dynamically as the current session develops, updating live as volume builds or thins out. When disabled, zones only appear once the session closes.
Please note: When this setting is enabled, zones may update or shift while the current session is still forming. Because the Session Volume Profile is continuously recalculating with new data, both the volume distribution and detected zones can change until the session closes.
Row Pivot Length:
Controls how far above and below each price row the indicator looks when identifying the highest and lowest volume points that define each Low Volume Zone. Larger values make the indicator compare a wider range of rows, while smaller values keep the analysis closer to each row’s immediate area.
Last SVPs:
Defines how many recent Session Volume Profiles are used for LVZs. For example, setting it to 3 limits LVZ detection to the last three sessions only.
Retests and Breaks:
Enables or disables the display of the retest and break markers described above.
Checklist:
The Checklist is a manual on-chart dashboard that allows traders to keep track of specific market conditions before entering a trade. Each checklist item can be toggled on or off in the indicator’s settings. When enabled, a checkmark emoji appears next to that item on the dashboard. When disabled, an X emoji appears next to that item.
This feature is designed to help traders visually confirm important steps in their process, such as reviewing trend direction, VWAP alignment, or session context. The checklist can also be repositioned anywhere on the chart using the “Location” setting for better visibility and layout preference.
Watermark:
The Watermark feature displays key chart information directly in the background, including the current ticker symbol, selected timeframe, and date. The watermark’s size, color, and transparency can be adjusted in the settings.
UNIQUENESS:
The VWAP Wave System Toolkit is unique because it brings every part of Auction Market Theory to the chart. It shows how value builds and shifts by combining Initial Balance levels, multi-timeframe VWAPs, and volume profiles. The indicator automatically marks low-volume zones where the market moved too quickly, highlights breaks and retests, and tracks how price interacts with fair value across sessions, weeks, and months. Every feature works together to give a simple view of balance, imbalance, and value development as the auction unfolds.
Kelly Wave Position Matrix 20251024 V1 ZENYOUNGA simple table is designed for use when opening a position. It applies the Kelly formula to calculate a more scientific position size based on win rate and risk–reward ratio. At the same time, it displays 1.65× ATR stop-loss levels for both long and short positions to serve as a reference for comparing with existing stop-loss placements.
Additionally, the table back-calculates the corresponding position size based on a 2% total capital loss limit, using the actual loss ratio. It also shows the current wave trend status as a pre-filtering condition.
Overall, this table integrates the core elements of trading — trend (wave confirmation), win rate, risk–reward ratio, and position sizing — making it an effective checklist before entering a trade. Its purpose is to help achieve a probabilistic edge and ensure positive expected value in trading decisions.
Supply In Profit Z-Score | Wave BackgroundSupply in Profit Z-Score
Modified by Quant_Hustler | Original by QuantChook
What it does
The Supply in Profit Z-Score measures how extreme the balance is between BTC addresses in profit versus those in loss compared to historical norms.
It highlights periods of excessive optimism or pessimism, helping traders identify market sentiment extremes that can signal potential turning points or confirm ongoing trends.
This version is designed for longer-term strategies, using smoothing and statistical normalization to focus on broader market sentiment cycles rather than short-term noise.
How it works
--Data Retrieval: Pulls on-chain data showing the percentage of Bitcoin addresses currently in profit and in loss.
--Spread Calculation: Finds the difference between the two to gauge overall sentiment balance.
--Alpha Decay Adjustment (optional): Normalizes extreme values to stabilize the signal over time.
--Smoothing: Applies a moving average to filter daily volatility and improve long-term clarity.
--Z-Score Conversion: Standardizes the data to show how far current sentiment deviates from historical averages.
--Visualization: Plots the result around a neutral midpoint (zero line) — positive values indicate profit dominance, negative values indicate loss dominance.
How to use it
--Above Zero: More addresses in profit → bullish sentiment and strong trend conditions.
--Below Zero: More addresses in loss → bearish sentiment or potential accumulation zones.
--Extreme Values: Mark overly optimistic or capitulated sentiment, often preceding major reversals.
Why use it in trend following
--This indicator serves as an on-chain sentiment confirmation layer for trend-following systems, especially on higher timeframes (daily or weekly).
--In uptrends, sustained positive readings confirm market strength and investor confidence.
--In downtrends, persistent negative readings confirm weakness and help avoid false reversal signals.
--Divergences between price and sentiment (e.g., rising price but weakening sentiment) often signal momentum loss or potential trend transitions.
Modifications from the original by QuantChook
Added EMA, adaptive Z-score smoothing and capping to reduce volatility and noise.
Introduced a wave-style visualization for intuitive sentiment shifts.
Improved calculation structure and upgraded for Pine Script v6 efficiency.
Tuned signal responsiveness and smoothing parameters for long-term trend accuracy.
Simplified user inputs and grouping for easier customization and integration.
In summary:
A refined, statistically grounded on-chain sentiment oscillator — originally developed by QuantChook and enhanced by Quant_Hustler — built to support long-term trend-following strategies by quantifying Bitcoin market sentiment through real-time profit and loss dynamics.
Elliott Wave Auto + Fib Targets + Scalper Strategy (Fixed)// Elliott Wave Auto + Fib Targets + Scalper Strategy
//
// Fixed by expert trader:
// - Replaced table with label-based visualization to avoid 'Column 2 is out of table bounds' error.
// - Uses label.new to display buy/sell signal counts in top-right corner, mimicking table layout.
// - Fixed array.sum() error: Replaced invalid range-based array.sum() with custom sum_array_range() function.
// - Removed barstate usage to fix 'Undeclared identifier barstate' error.
// - Replaced barstate.isconfirmed with true (process every bar).
// - Replaced barstate.isfirstconfirmed with bar_index == 0 (first bar).
// - Replaced strategy.alert with label.new for long/short entry signals (buy/sell markers).
// - Fixed array index out-of-bounds: Protected array.get() calls with size checks.
// - Fixed pyramiding: Set constant pyramiding=4 (max 5 entries); use allow_pyramiding to limit entries.
// - Fixed default_qty_value: Set constant default_qty_value=100.0; use entry_size_pct to scale qty.
// - Replaced alertcondition with labels for Elliott Wave patterns.
// - Fixed partial exits: 50% at TP1 with fixed SL, 50% at TP2 with fixed SL or trailing.
// - Fixed Elliott Wave pivot indexing for alternating H/L check.
// - Ensured proper position sizing and exit logic.
Simplified Wave Trend Overbought/OversoldThis is just a variation of the popular wave trend that I find to be nicer to look at.
xTrader 20/200 EMA Wave Ribbon🔹 20/200 EMA Wave Ribbon
This indicator expands on the classic 20/200 moving average crossover by turning it into a momentum-aware ribbon. Instead of only showing where two lines cross, it highlights trend bias and momentum strength together in a visual form that adapts across timeframes.
🔑 How It Works
Fast / Slow MAs: Calculates a fast MA (default 20) and a slow MA (default 200). Traders can choose the MA type (EMA, SMA, WMA, RMA).
Bias: When the fast MA is above the slow MA, the ribbon turns 🟢 green (bullish). When it is below, the ribbon turns 🔴 red (bearish).
Wave Ribbon: A band is plotted around the fast MA. Its width comes from a user-defined percent of price, optionally scaled by ATR volatility so the ribbon stays meaningful on both 5m and 1D charts.
MACD-style intensity: Ribbon color adjusts with the separation between fast and slow MAs. Strong expansion makes the ribbon brighter and thicker; contraction makes it softer and thinner. This gives the same “growing and fading” feel traders know from MACD histograms.
Noise Control: Persistence settings can require several bars of agreement before a bias flip is confirmed, reducing whipsaws.
Signals: Optional markers and alerts trigger on bullish and bearish crosses.
📈 Practical Use
Bright, widening ribbon → trend is accelerating; continuation bias is strong.
Dimming ribbon → momentum is weakening; consider scaling out or tightening risk.
Color flip → regime change; possible entry/exit depending on confirmation settings.
Timeframe scaling → ensures ribbon width adapts to volatility, so interpretation is consistent across intraday and higher-timeframe charts.
⚡ What Makes It Different
Unlike open-source EMA cross scripts that only mark crosses:
✅ Plots a dynamic ribbon around the fast MA instead of shading the whole chart.
✅ Uses ATR-based auto-scaling to stay useful on all timeframes.
✅ Applies MACD-style intensity mapping to show not just bias, but trend strength and momentum shifts.
✅ Includes MA type selection (EMA, SMA, WMA, RMA) and persistence logic for confirmation.
⚠️ Disclaimer: This script is for educational and analytical purposes only. It is not financial advice. Always do your own research and use proper risk management before trading.
Gann Swings with Weis Wave VolumeThis indicator combines two powerful market analysis techniques into a single, comprehensive tool: swing analysis based on the theories of W.D. Gann and volume analysis popularized by David Weis (Weis Wave). By visualizing the market's wave structure and the volume that drives each move, this indicator helps traders gauge the strength of a trend and identify potential reversals.
Key Features
Gann Swing Lines:
The indicator automatically identifies and plots market swings by connecting significant highs and lows. This provides a clean, intuitive view of the market's structure and the prevailing trend direction.
Upward swings are colored green, and downward swings are colored red (by default), making it easy to see the market's flow at a glance. A real-time line is also drawn to track the current, developing swing.
Weis Wave Volume Display:
At the conclusion of each swing, the indicator calculates the total cumulative volume for that entire price wave and displays it at the swing's peak or trough. This is the core of the Weis Wave concept, linking volume directly to price swings rather than individual candles.
This feature allows traders to analyze the "effort vs. result." For example, a long upward price swing that occurs on low cumulative volume may suggest a lack of conviction and a higher probability of reversal. Conversely, a breakout past a previous swing high accompanied by significant volume confirms the strength of the move.
The cumulative volume for the current, unfinished wave is also displayed in real-time with an underscore (_) suffix.
Volume-Based Candle Coloring:
This optional feature colors the price bars based on their volume relative to a moving average (EMA) of volume.
Candles with significantly higher-than-average volume are painted in darker, more intense shades of green (for up-candles) or red (for down-candles).
This helps to instantly spot high-interest areas, such as climactic buying or selling, which often occur at key support and resistance levels or turning points.
Settings (Inputs) Explained
Gann Swing Settings:
Show Gann Swing Lines: Toggles the visibility of the swing lines.
Line Width: Adjusts the thickness of the swing lines.
Up Swing/Down Swing: Allows for full customization of the colors for up and down swing lines.
Volume Numbers Settings:
Show Volume Numbers: Toggles the visibility of the cumulative Weis Wave volume labels.
Up Volume/Down Volume: Customizes the text color for the volume numbers on up and down swings.
Size: Changes the font size of the volume labels ("Tiny" to "Huge").
Volume Unit: Formats the volume display. Choose "None" for the raw number, "K" for thousands, "M" for millions, or "B" for billions to keep the chart clean.
Additional Visual Settings:
Show Volume Candles: Enables or disables the volume-based bar coloring.
Volume EMA Period: Sets the lookback period for the Exponential Moving Average used to calculate average volume for the bar coloring feature.
How to Use
This indicator can be a valuable addition to various trading strategies.
Trend Confirmation: A healthy trend will typically show increasing cumulative volume on swings in the direction of the trend. For instance, in a strong uptrend, each new upswing should ideally be accompanied by volume that is equal to or greater than the previous upswing.
Divergence and Reversal Signals: A classic signal of a weakening trend is divergence. If the price makes a new higher high, but the cumulative volume on that upswing is significantly lower than the previous one, it indicates that the buying pressure is fading and a reversal may be imminent.
Identifying Key Levels: The points where swings reverse, especially when accompanied by high cumulative volume, often become critical support or resistance levels for future price action. The volume-colored candles can further highlight specific bars where institutional activity is likely occurring.
このインジケーターは、W.D.ギャンの理論に基づいたスイング分析と、デビッド・ワイスが普及させた出来高分析（ワイスウェーブ）を組み合わせたテクニカル分析ツールです。相場の波動（スイング）とそのスイングを形成するためにどれだけの出来高が投入されたかを視覚的に捉えることで、トレンドの強弱や転換の可能性を評価するのに役立ちます。
主な機能
ギャンスイングの描画:
相場の高値と安値を基に、上昇スイングと下降スイングを自動で識別し、ラインで結んで表示します。
これにより、市場の基本的な構造やトレンドの方向性を直感的に把握できます。
上昇スイングは緑色、下降スイングは赤色（デフォルト設定）で表示され、現在進行中のスイングはリアルタイムで描画され続けます。
ワイスウェーブ出来高の表示:
一つのスイング（波）が完了するごとに、そのスイングの始点から終点までの累計出来高を計算し、スイングの頂点（高値・安値）に表示します。
大きな価格変動（スイング）が出来高を伴っているか、あるいは出来高が乏しい中で価格だけが動いているかを判断する材料となります。
例1: 上昇スイングの価格幅が大きいにも関わらず出来高数値が小さい場合、その上昇の勢いが弱い可能性を示唆します。
例2: 価格の動きは小さいのに出来高数値が非常に大きい場合、強い抵抗や支持、あるいは市場の意見が対立している状況を示唆します。
現在進行中のスイングの累計出来高も、末尾に「_」を付けてリアルタイムで表示します。
出来高ローソク足の色付け:
オプションを有効にすると、各ローソク足の出来高を移動平均線（EMA）と比較し、その出来高の大きさに応じてローソク足を色付けします。
出来高が平均よりも大幅に大きい足は濃い色で表示され、市場の注目が集まっている価格帯（重要な高値・安値など）を特定するのに役立ちます。
設定項目（インプット）の解説
ギャンスイング設定:
ギャンスイングラインを表示: スイングラインの表示／非表示を切り替えます。
線の太さ: ラインの太さを調整します。
上昇スイング/下降スイング: 各スイングラインの色を自由に設定できます。
出来高数値の設定:
出来高数値を表示: スイングごとの累計出来高の表示／非表示を切り替えます。
上昇出来高/下降出来高: 出来高数値のテキスト色を自由に設定できます。
サイズ: 出来高数値の文字サイズを選択できます。
出来高の単位: 出来高の数値をそのまま表示するか、「K」（千）、「M」（百万）、「B」（十億）単位に変換して表示するかを選択できます。
追加の視覚設定:
出来高ローソク足を表示: 出来高に応じたローソク足の色付け機能の有効／無効を切り替えます。
出来高EMA期間: ローソク足の色付けの基準となる出来高移動平均線の期間を設定します。
活用方法
このインジケーターは、単独で使うだけでなく、他のテクニカル指標と組み合わせることで、より精度の高い分析が可能になります。
トレンドの確認: 価格が上昇スイングを続けており、かつ各上昇スイングの出来高が増加傾向にあれば、強い上昇トレンドと判断できます。
トレンド転換の察知: 価格は新高値を更新しているのに、上昇スイングの出来高が前回よりも著しく減少している場合（ダイバージェンス）、上昇の勢いが尽きかけており、トレンド転換が近い可能性を示唆します。
重要な価格帯の特定: 出来高ローソク足機能で色が濃くなっている価格帯は、多くの市場参加者が取引したことを意味し、将来的にサポート（支持）やレジスタンス（抵抗）として機能する可能性があります。
ConeWave MACoRa Wave is a custom-weighted moving average designed to adapt intelligently to market dynamics. It builds upon the foundational logic of the Comp_Ratio_MA by @redktrader, incorporating a compound ratio-based weighting curve that emphasizes recent price action while preserving smoothness and structure with pinescript version 6.
This version introduces modular enhancements, including:
A Comp Ratio Multiplier for fine-tuned responsiveness
Optional Auto Smoothing based on wave length
Streamlined plotting for clarity and performance
Whether you're confirming market structure, identifying trend shifts, or seeking a cleaner alternative to noisy indicators, CoRa Wave offers a visually intuitive and mathematically elegant solution.
🛠 Reimagined by @atulgalande75 — optimized for traders who value precision, adaptability, and clean charting. Original concept by @redktrader.
Elliott Wave Oscillator + PSAR + VolumeStrategy Logic
1. Indicators
Elliott Wave Oscillator (EWO): This oscillator measures the difference between a 5-period and a 35-period exponential moving average (EMA). It's used to identify momentum shifts and potential wave structures. A buy signal is triggered when the EWO crosses above its signal line (a 5-period simple moving average). A sell signal is triggered when it crosses below.
Parabolic SAR (PSAR): This indicator shows potential reversals in price direction. A buy signal requires the PSAR to be below the current price, indicating an uptrend. A sell signal requires the PSAR to be above the current price, indicating a downtrend.
Volume: The strategy checks for significant changes in volume compared to its 20-period simple moving average (SMA). A buy signal requires a volume increase of at least 20% above the SMA. A sell signal requires a volume decrease of at least 20% below the SMA.
EMA 200: This long-term moving average is used to determine the overall market trend. A buy signal is only considered when the EMA 200 is rising (uptrend). A sell signal is only considered when the EMA 200 is falling (downtrend).
2. Entry and Exit Conditions
Long (Buy) Entry: A long position is entered if all of the following conditions are met:
EWO crosses its signal line upwards.
PSAR is below the price.
Volume has increased significantly.
The EMA 200 is rising.
The current candle is a bullish candle (close > open).
Short (Sell) Entry: A short position is entered if all of the following conditions are met:
EWO crosses its signal line downwards.
PSAR is above the price.
Volume has decreased significantly.
The EMA 200 is falling.
The current candle is a bearish candle (close < open).
Exit Conditions: Both long and short positions have a fixed 1% take profit and a 1% stop loss to manage risk.
In summary, the strategy only enters trades when a combination of momentum (EWO), trend (PSAR, EMA 200), and volume indicators align in the same direction, with strict risk management in place.
Elliott Wave Auto Detector (Simplified)How to Use the Detector
Identify Structure: Look for sequences like 1-2-1-2...
These may show a forming or ongoing Elliott wave pattern.
Validate Trend: Multiple red 2’s at lower highs suggests a bearish trend; the reverse with blue 1’s at higher lows is bullish.
Trading Zones:
Consider buying near clusters of blue 1’s (support zones).
Consider selling or shorting near clusters of red 2’s (resistance zones).
Look for Breakouts: If price breaks out of the descending channel, trend may reverse or accelerate.
SMA WAVE // SUNIL SETHI // V1.0This TradingView indicator visualizes the relationship between two simple moving averages (SMAs) of your choice — default 10-period and 20-period — to help traders quickly identify short-term trend shifts and momentum through color-coded wave fills and line trends.
✅ Dual SMA Calculation
Calculates two SMAs: SMA 1 (default 10) and SMA 2 (default 20).
Option to use any custom timeframe for both SMAs via the SMA Timeframe input.
🎨 Dynamic Visual Feedback
SMA lines change color based on direction:
Rising = Green (or custom)
Falling = Red (or custom)
Optional toggle to use static colors instead.
Wave area between SMA1 and SMA2 is filled with color to show crossovers and divergence.
👁️🗨️ Visibility Controls
Toggle visibility for:
SMA 1 line
SMA 2 line
The wave fill between SMAs
⚙️ Customization Options
Adjust:
SMA lengths
Wave fill transparency
Colors when rising or falling
Manual override colors for SMA lines
📈 How It Works
When SMA 1 > SMA 2, the wave fill shows a rising trend (e.g., green).
When SMA 1 < SMA 2, the fill switches to a falling trend (e.g., red).
The lines themselves also reflect momentum (rising/falling) based on current vs previous value unless overridden.
🧠 Use Cases
Spot short-term trend reversals or momentum shifts
Confirm entries/exits based on SMA crossovers
Visualize trend strength through color intensity and divergence
Advanced Hurst Cycle + VTL + Turning Points| Timeframe | Cycle Base | Use Case | Notes |
| ------------ | ---------- | ------------------ | ------------------------- |
| 5-min | 16–20 bars | Intraday scalping | Tight SL, fast moves |
| 15-min / 1hr | 20–40 bars | Intraday to swing | Good for options intraday |
| Daily | 20–40 bars | Multi-day swings | Ideal for Futures/ST BTST |
| Weekly | 13–26 bars | Position/Investing | For macro turns |
Guide to Trading with JM Hurst Cycles in TradingView
1. What is JM Hurst Cycle Theory?
JM Hurst proposed that financial markets move in harmonically related cycles. These cycles can help traders
forecast turning points in markets using time-based analysis rather than just price.
Key Concepts:
- Cycle Nesting: Smaller cycles exist within larger ones.
- Harmonic Ratios: Each cycle is typically double the length of the smaller one (e.g., 20, 40, 80).
- Turning Points: When multiple cycles bottom together, strong reversals occur.
- Tools: FLD (Future Line of Demarcation), VTL (Valid Trend Lines).
2. TradingView Script Features
The provided Pine Script v5 implements:
- FLDs (shifted SMAs) for base and harmonic cycles.
- VTLs: Drawn between major pivot highs/lows to confirm trend reversals.
- Cycle Turning Points: Detected using pivot logic and cycle phase.
- Optional: Sine wave to visualize cycle rhythm.
Inputs:
- Base Cycle Length: Set the expected cycle duration (e.g., 20 bars).
- FLD/VTL/Turn toggles to customize chart view.
3. How to Trade with This Script
1. Set 'Base Cycle Length' to 20, 40, or 80 depending on your market and timeframe.
2. Watch for price crossing the FLD:
- Bullish Signal: Price crosses above FLD near cycle bottom.
- Bearish Signal: Price breaks below FLD near cycle top.
3. Use VTL for confirmation:
Guide to Trading with JM Hurst Cycles in TradingView
- Break of upward VTL from cycle lows = bearish shift.
- Break of downward VTL from cycle highs = bullish shift.
4. Use turning point markers:
- Triangle up (green): Probable cycle bottom - watch for long.
- Triangle down (red): Probable cycle top - prepare for exit or short.
Tips:
- Align multiple cycle lengths for stronger confirmation.
- Use with other technical indicators like RSI/MACD for confluence.
- Avoid trading just before major news events - cycles can distort.
4. Example Strategy
If base cycle is 20 bars:
- Wait for triangle up (cycle low) near FLD.
- Confirm price crosses above FLD.
- Ensure VTL from prior lows is intact or just broken upward.
- Enter long; set stop below recent low.
Opposite for shorts at triangle down + FLD break down + VTL break.
5. Final Notes
This script offers a time-based visual trading method inspired by JM Hurst. It's most powerful when used with
patience, confirmation, and alignment across cycles.
You can adjust cycle lengths or refine pivots based on your trading timeframe and asset class.
For best results, backtest cycle behavior on your instrument before live trading.
Global M2 Money Supply Top20 + Offset & WaveThe M2 Top20 is a global aggregation of the M2 money supply from the 20 largest economies in the world , providing a comprehensive view of the total liquidity in the global financial system. It is expressed in trillions of USD.
This script calculates and visualizes the M2 Money Supply of the Top 20 Global Economies, adjusted to various timeframes (4H, 1D, 1W, 1M) with customizable offset adjustments (in days) from -1000 days to +1000 days. This indicator includes data from the Americas, Europe, Africa, and the Asia Middle East , offering a diverse and balanced representation of major economic regions. The M2 of each country has been converted to USD.
Additionally, the user can set a minimum and maximum offset to create a wave around the main offset and expand the comparison.
Combining these options, this indicator enables users to visualize a range of the global money supply, making it useful for market analysis, economic forecasting, and understanding macroeconomic trends. This indicator is particularly valuable for traders and analysts interested in understanding the dynamics of global monetary systems and their potential impact on financial markets.
Key Features:
Global M2 Money Supply calculation from the Top 20 Economies.
Adjustable Offset: Adjust the offset to align the indicator with the best bar. Adjustment in days, usable on different timeframes (1D, 1W, 4H, 1M).
Wave Projection: Displays a "probability cloud"—a smoothed area that shows the probable path of Bitcoin, derived from shifts in global liquidity.
Min/Max Offset Adjustments: Customizable offsets allow you to determine the range of future windows, helping to shape the wave and better identify liquidity-driven turning points.
Use Cases:
Economic Forecasting: Identify trends in global money supply and their potential market impact (e.g., historically leads Bitcoin price by +/- 78 days to +/-108 days).
Market Analysis: Track the growth or contraction of money supply across key economies.
Macro-Economic Analysis: Understand the relationship between monetary policies and market performance.
How to use:
Add the indicator to your chart.
Set the timeframe to 1D to customize the offset.
Set the Offset (in days).
Set the Offset Range Minimum and Maximum.
Show/Hide the Range Wave
.
Use offset = 0 to have the indicator align directly with the current data, without any shift, providing a baseline for comparison with the most recent market conditions.
Countries included in the M2 Top20:
China (CN), Japan (JP), South Korea (KR), Hong Kong (HK), Taiwan (TW), India (IN), Saudi Arabia (SA), Thailand (TH), Vietnam (VN), United Arab Emirates (AE), Malawi (MW) – Africa, United States (US), Canada (CA), Brazil (BR), Mexico (MX), Eurozone (EU), United Kingdom (GB), Russia (RU), Poland (PL), Switzerland (CH).
These countries were selected from the ranking of the World Economy Indicator of Trading View .
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
M2 Liqudity WaveGlobal Liquidity Wave Indicator (M2-Based)
The Global Liquidity Wave Indicator is designed to track and visualize the impact of global M2 liquidity on risk assets—especially those highly correlated to monetary expansion, like Bitcoin, MSTR, and other macro-sensitive equities.
Key features include:
Leading Signal: Historically leads Bitcoin price action by approximately 70 days, offering traders and analysts a forward-looking edge.
Wave-Based Projection: Visualizes a "probability cloud"—a smoothed band representing the most likely trajectory for Bitcoin based on changes in global liquidity.
Min/Max Offset Controls: Adjustable offsets let you define the range of lookahead windows to shape the wave and better capture liquidity-driven inflection points.
Explicit Offset Visualization: Option to manually specify an exact offset to fine-tune the overlay, ideal for testing hypotheses or aligning with macro narratives.
Macro Alignment: Particularly effective for assets with high sensitivity to global monetary policy and liquidity cycles.
This tool is not just a chart overlay—it's a lens into the liquidity engine behind the market, helping anticipate directional bias in advance of price moves.
How to use?
- Enable the indicator for BTCUSD.
- Set Offset Range Start and End to 70 and 115 days
- Set Specific Offset to 78 days (this can change so you'll need to play around)
FAQ
Why a global liquidity wave?
The global liquidity wave accounts for variability in how much global liquidity affects an underlying asset. Think of the Global Liquidity Wave as an area that tracks the most probable path of Bitcoin, MSTR, etc. based on the total global liquidity.
Why the offset?
Global liquidity takes time to make its way into assets such as #Bitcoin, Strategy, etc. and there can be many reasons for that. It's never a specific number of days of offset, which is why a global liquidity wave is helpful in tracking probable paths for highly correlated risk assets.
Renko Momentum Wave (RMW)Renko Momentum Wave
The Renko Momentum Wave (RMW) is a custom momentum oscillator specifically designed for Renko-based price action analysis. Unlike traditional oscillators that rely on time-based data, the RMW focuses on the directional consistency of Renko bricks, measuring the strength of trend momentum purely based on price movement.
Alpha Wave System @DaviddTechAlpha Wave DaviddTech System by DaviddTech is an advanced, meticulously engineered trading indicator adhering strictly to the DaviddTech methodology. Rather than simply combining popular indicators, Alpha Wave strategically integrates specially-selected technical components—each optimized to enhance their combined strengths while neutralizing individual weaknesses, providing traders with clear, consistent, and high-probability trading signals.
Valid Setup:
🎯 Why This Combination Matters:
Quantum Adaptive Moving Average (Baseline):
This advanced adaptive MA provides superior responsiveness to market shifts by dynamically adjusting its sensitivity, clearly indicating the primary market direction and reducing lag compared to standard moving averages.
WavePulse Indicator (CoralChannel-based Confirmation #1):
Precisely detects shifts in momentum and price acceleration, allowing traders to anticipate trend continuation or reversals effectively, significantly enhancing trade accuracy.
Quantum Channel (G-Channel-based Confirmation #2):
Dynamically captures price volatility ranges, offering reliable trend structure validation and clear support/resistance channels, further increasing signal reliability.
Momentum Density (Volatility Filter):
Ensures traders enter only during optimal volatility conditions by quantifying momentum intensity, effectively filtering out low-quality, low-momentum scenarios.
Dynamic ATR-based Trailing Stop (Exit System):
Automatically manages trade exits with optimized ATR-based stop levels, systematically securing profits while effectively managing risk.
These meticulously integrated components reinforce each other's strengths, providing traders with a robust, disciplined, and clearly structured approach aligned with the DaviddTech methodology.
🔥 Latest Update – Enhanced BUY & SELL Signals:
Alpha Wave now clearly displays automated BUY and SELL signals directly on your chart, coupled with a comprehensive dashboard table for immediate signal validation. Signals appear only when all components—including baseline, confirmations, and volatility—are in alignment, significantly improving trade accuracy and confidence.
📌 How Traders Benefit from the New Signals:
BUY Signal: Execute long trades when Quantum Adaptive MA signals bullish, confirmed by bullish WavePulse momentum, bullish Quantum Channel structure, and strong Momentum Density readings.
SELL Signal: Clearly marked for entering short positions under bearish market conditions verified through Quantum Adaptive MA, WavePulse bearish momentum, Quantum Channel confirmation, and sufficient Momentum Density.
Signal Validation: A dedicated dashboard provides immediate visual strength metrics, allowing traders to quickly validate signals before execution, significantly enhancing trading discipline and consistency.
📊 Recommended DaviddTech Trading Plan:
Baseline: Determine overall market direction using Quantum Adaptive MA. Only trade in the indicated baseline direction.
Confirmations: Validate potential entries with WavePulse and Quantum Channel alignment.
Volatility Filter: Confirm sufficient market volatility with Momentum Density before entry.
Trailing Stop Loss: Manage risk and secure profits using the dynamic ATR-based trailing stop system.
Entries & Exits: Only execute trades when signals and dashboard components unanimously align.
🖼️ Visual Examples:
Alpha Wave by DaviddTech clearly demonstrates how an intelligently integrated system provides significantly superior trading insights compared to standalone indicators, ensuring precise, disciplined, and profitable market entries and exits across all trading environments.
[blackcat] L2 Wave Base CampOVERVIEW
The L2 Wave Base Camp indicator is a technical analysis tool designed to identify trends and potential trading signals by visualizing price and volume data through moving averages and relative strength calculations. It operates in its own panel on the trading chart, providing traders with a clear and color-coded representation of market conditions.
FEATURES
Customizable Base Camp Level: Users can set a horizontal line at a specific level to mark significant price points.
Color-Coded Histograms: Different colors indicate various market conditions, such as price position relative to moving averages.
Labeled Signals: The indicator labels potential "Valley" and "Top" points, suggesting buying and selling opportunities.
Volume Analysis: Incorporates volume data to identify potential trend reversals based on volume trends.
HOW TO USE
Set the Base Camp Level: Adjust the input parameter to define a significant price level.
Interpret Histogram Colors: Use the color-coded histograms to understand the current market condition.
Look for Labeled Signals: Pay attention to "Valley" and "Top" labels for potential trading opportunities.
Analyze Volume Trends: Monitor volume data for signs of trend reversals.
LIMITATIONS
Not a Standalone Tool: Should be used in conjunction with other indicators and analysis methods.
Backtesting Required: Essential to understand historical performance before live trading.
NOTES
The indicator uses moving averages (SMA) and relative strength calculations to smooth data and identify trends.
Crossover events between different moving averages generate buy and sell signals.
THANKS
Special thanks to the original author for developing this insightful trading tool.
[blackat] L1 Funding Bottom Wave█ OVERVIEW
The script "Funding Bottom Wave" is an indicator designed to analyze market conditions based on multiple smoothed price calculations and specific thresholds. It calculates several values such as B-value, VAR2-value, and additional signals like SK and SD to identify buy/sell levels and reversals, aiding traders in making informed decisions.
█ LOGICAL FRAMEWORK
The script consists of several main components:
• Input parameters that allow customization of calculation periods and thresholds.
• A custom function funding_wave that computes various financial metrics and conditions.
• Plotting commands to visualize different aspects of those computations.
Data flows from input parameters into the funding_wave function where calculations are performed. These results are then plotted according to specified conditions. The script uses conditional expressions to define when certain plots should appear based on the computed values.
█ CUSTOM FUNCTIONS
funding_wave Function:
This function takes six arguments: close_price, high_price, low_price, open_price, period_b, and period_var2. It performs several calculations including:
• Price range percentage normalized between lowest and highest prices over 60 bars.
• SMA of this value over periods defined by period_b and period_var2.
• Several moving averages (MA), EMAs, and extreme point markers (highest/lowest).
• Multiple condition checks involving these metrics leading to buy/high signal flags.
Returns: An array containing B-value, VAR2-value, SK-value, SD-value, along with various conditional signal indicators.
█ KEY POINTS AND TECHNIQUES
• Utilizes built-in TA functions (ta.highest, ta.lowest, ta.sma, ta.ema) for smoothing and normalization purposes.
• Implements extensive use of ternary operators and boolean logic to determine plot visibility based on specific criteria.
• Employs column-style plotting which highlights significant transitions in calculated metric levels visually.
• No explicit loops; computations utilize vectorized operations inherent to Pine Script's nature.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
Potential modifications/extensions include:
• Adding alerts for key threshold crossovers or meeting certain conditions.
• Customizing more sophisticated alert messages incorporating current time and symbol details.
• Incorporating stop-loss/take-profit strategies dynamically adjusted by indicator outputs.
Similar techniques can be applied in:
• Developing robust trend-following systems combining momentum oscillators.
• Enhancing basic price action rulesets with statistical filters derived from historical data behaviors.
• Exploring intraday breakout strategies predicated upon sudden changes in market sentiment captured via volatility spikes.
Related concepts/features:
• Using arrays to encapsulate complex return structures for reusability across scripts/functions.
• Leveraging na effectively within plotting constructs ensures cleaner chart presentation avoiding clutter from irrelevant points.
█ MARKET MEANING OF DIFFERENT COLORED COLUMNS
Red Columns ("B above Var2"):
• Market Interpretation: When the red columns appear, it indicates that the B-value is higher than the VAR2-value. This suggests a strengthening upward trend or consolidation phase where the market might be experiencing buying pressure relative to recent trends.
• Trading Implication: Traders may consider this as a potentially bullish sign, indicating strength in the underlying asset.
Green Columns ("B below Var2"):
• Market Interpretation: Green columns indicate that the B-value is lower than the VAR2-value. This could suggest downward trend acceleration or weakening buying pressure compared to recent trends.
• Trading Implication: Traders might interpret this as a bearish signal, suggesting a possible decline in the market.
Aqua Columns ("SK below SD"):
• Market Interpretation: Aqua columns show instances where the SK-value is below the SD-value. This typically signifies that the short-term stochastic oscillator (or similar measure) is signaling oversold conditions but not yet reaching extremes.
• Trading Implication: While not necessarily a strong sell signal, aqua columns might prompt traders to look for further confirmation before entering long positions.
Fuchsia Columns ("SK above SD"):
• Market Interpretation: Fuchsia columns represent situations where the SK-value exceeds the SD-value. This usually indicates overbought conditions in the near term.
• Trading Implication: Traders often view fuchsia columns as cautionary signs, possibly prompting them to exit existing long positions or refrain from adding new ones without further analysis.
Yellow Columns ("High Condition" and "High Condition Both"):
• Market Interpretation: Yellow columns occur when either the SK-value or B-value crosses above predefined high thresholds (e.g., 90). If both cross simultaneously, they form "High Condition Both."
• Trading Implication: Strongly bullish signals indicating overheated markets prone to corrections. Traders may see this as a good opportunity to take profits or prepare for a pullback/corrective move.
Blue Columns ("Low Condition" and "Low Condition Both"):
• Market Interpretation: Blue columns emerge when either the SK-value or B-value drops below predefined low thresholds (e.g., 10). Simultaneous crossing forms "Low Condition Both."
• Trading Implication: Potentially bullish reversal setups once the market starts showing signs of bottoming out after being significantly oversold. Traders might use blue columns as entry points for establishing long positions or hedging against anticipated rebounds.
Light Purple Columns ("Low Condition with Reversal" and "Low Condition Both with Reversal"):
• Market Interpretation: Light purple columns signify moments when the SK-value or B-value falls below their respective thresholds but has started reversing upwards immediately afterward. If both fall and reverse together, it's denoted as "Low Condition Both with Reversal."
• Trading Implication: Suggests a possible early-stage rebound from an extended downtrend or sideways movement. This could be seen as a highly reliable bulls' flag formation setup.
White Columns ("High Condition with Reversal" and "High Condition Both with Reversal"):
• Market Interpretation: White columns denote scenarios where the SK-value or B-value breaches high thresholds (e.g., 90) but begins descending shortly thereafter. Both simultaneously crossing leads to "High Condition Both with Reversal."
• Trading Implication: Indicative of peak overbought conditions followed quickly by exhaustion in buying interest. This warns traders about potential imminent retracements or pullbacks, prompting exits or short positions.
█ SUMMARY TABLE OF COLUMN COLORS AND THEIR MEANINGS
Color Type Market Interpretation Trading Implication
Red B above Var2 Strengthening upward trend/consolidation Bullish sign
Green B below Var2 Downward trend acceleration/weakening buying pressure Bearish sign
Aqua SK below SD Oversold conditions but not extreme Cautionary signal
Fuchsia SK above SD Overbought conditions Take profit/precaution
Yellow High Condition / High Condition Both Overheated market, likely correction coming Good time to exit/additional selling
Blue Low Condition / Low Condition Both Possible bull/rebound setup Entry point/hedging
Light Purple Low Condition with Reversal / Low Condition Both with Reversal Early-stage rebound from downtrend Reliable bulls' flag formation
White High Condition with Reversal / High Condition Both with Reversal Peak overbought with imminent retracement Exit positions/warning
Understanding these color-coded signals can help traders make more informed decisions, whether for entry, exit, or risk management in trading strategies. Each set of colors provides distinct insights into market dynamics and trends, aiding in effective execution of trade plans.
