Multi-VWAP System🚀 Multi-VWAP System — Anchored VWAP & Deviation Bands
Overview
The Multi-VWAP System provides traders with a professional-grade approach to anchored VWAP analysis. Inspired by Brian Shannon's pioneering work on Anchored VWAP, this indicator automatically calculates and plots:
Current Session VWAP
Previous Session VWAP (also known as "2-Day VWAP")
High-of-Day (HOD) Anchored VWAP
Each VWAP can also display optional Standard Deviation Bands to highlight statistically significant deviations from the volume-weighted average price.
🔍 Why Anchored VWAP Matters
Volume Weighted Average Price (VWAP) is among the most critical institutional indicators, as it represents the average price paid for a stock adjusted by trading volume. This makes VWAP crucial for identifying fair value and significant areas of institutional activity.
Institutions utilize VWAP extensively to guide their execution algorithms. For instance, if price dips below a 2-day anchored VWAP (anchored to the previous session's open), many institutions interpret this as a discounted entry, potentially triggering large-scale buy programs. Conversely, sustained movement above VWAP signals strong buying pressure and bullish sentiment.
📌 Why Multiple Anchors?
Traders commonly anchor VWAPs at critical reference points:
Current Session VWAP:
Essential for day traders as a reference for intraday sentiment. Price action above this line generally indicates bullish sentiment, while price below signals bearish sentiment.
Previous Session (2-Day) VWAP:
Heavily used by institutions and swing traders, it provides insight into multi-session sentiment. Institutions commonly activate buy or sell programs based on whether price is trading at a premium or discount relative to this VWAP.
High-of-Day (HOD) VWAP:
Frequently used by momentum traders, this anchor captures sentiment after the most recent intraday high. Price above the HOD VWAP suggests sustained bullish momentum, while price below might signal weakening momentum.
🌟 Standard Deviation Bands
Each anchored VWAP in this indicator includes optional Standard Deviation Bands, highlighting statistical extremes. Traders use these bands to:
Identify potentially overextended moves (beyond +2σ or +3σ).
Gauge momentum strength (holding above +1σ).
Spot mean-reversion setups when price returns to VWAP after extreme moves.
🎨 Dynamic Background and Momentum Colorization
To visually highlight strength or weakness in price action relative to VWAP:
Dynamic Background Fill between Current and Previous VWAPs:
Green background appears when the Current VWAP is above the Previous VWAP and the linear regression slope (adjustable length) is positive, indicating bullish sentiment.
Red background appears when the Current VWAP is below the Previous VWAP and the slope is negative, indicating bearish sentiment.
No fill when conditions are mixed or momentum is uncertain.
Gold Fill above HOD VWAP:
When price action is above the High-of-Day VWAP and momentum (linear regression slope) is positive, a subtle gold shading appears, quickly highlighting bullish momentum.
⚙ Fully Customizable Settings
Session Times: Adjust session start and end times to match your specific market hours.
Standard Deviation Bands: Enable or disable each VWAP’s deviation bands individually and select how many bands (1σ, 2σ, or 3σ) you'd like to display.
Momentum Slope Length: Adjustable lookback for linear regression slope calculation—giving you full control of trend sensitivity.
🎯 Who Should Use This Indicator?
This indicator is perfect for:
Day Traders who want quick insights into intraday sentiment shifts.
Swing Traders tracking institutional footprints and seeking optimal entry/exit points.
Momentum Traders who rely on clearly visible momentum signals from HOD anchored VWAPs.
Institutional Traders and Professionals seeking sophisticated, institutionally-inspired VWAP analysis without manual anchoring.
📈 Summary of Features
✅ Automatic VWAP Anchors (Current Session, Previous Session, High-of-Day)
✅ Optional Standard Deviation Bands for each VWAP anchor
✅ Dynamic Background Coloring based on price action and momentum conditions
✅ Gold Momentum Highlight for quick bullish momentum identification above HOD VWAP
✅ Fully Customizable Inputs for precise personalization and flexibility
📢 Conclusion
The Multi-VWAP System isn't just another VWAP indicator. It's an institutional-level, dynamic, multi-dimensional analysis tool inspired by the work of Brian Shannon and leading institutional traders. It takes the guesswork out of anchoring and analysis, leaving you free to focus on identifying and executing high-probability trade setups.
Enjoy trading smarter—not harder. Happy Trading! 🚀📊
Moving Averages
CAN INDICATORCAN Moving Averages Indicator - Feature Guide
1. Multiple Moving Averages (20 MAs)
- Supports up to 20 individual moving averages
- Each MA can be independently configured:
- Enable/Disable toggle
- Length (period) setting
- Type selection (SMA, EMA, DEMA, VWMA, RMA, WMA)
- Color customization
- Individual timeframe settings when global timeframe is disabled
Pre-configured MA Settings:
1. MA1-8: SMA type
- Lengths: 20, 50, 100, 200, 365, 489, 600, 1460
2. MA9-20: EMA type
- Lengths: 30, 60, 120, 240, 300, 400, 500, 700, 800, 900, 1000, 2000
2. Global Timeframe Settings
Location: Global Settings group
Features:
- Use Global Timeframe: Toggle to use one timeframe for all MAs
- Global Timeframe: Select the timeframe to apply globally
3. Label Display Options
Location: Main Inputs section
Controls:
- Show MA Type: Display MA type (SMA, EMA, etc.)
- Show MA Length: Display period length
- Show Resolution: Display timeframe
- Label Offset: Adjust label position
4. Cross Alerts System
Location: Cross Alerts group
Features:
1. Price Crosses:
- Alerts when price crosses any selected MA
- Select MA to monitor (1-20)
- Triggers on crossover/crossunder
2. MA Crosses:
- Alerts when one MA crosses another
- Select fast MA (1-20)
- Select slow MA (1-20)
- Triggers on crossover/crossunder
5. Relative Strength (RS) Analysis
Location: Relative Strength group
Features:
- Select any MA to monitor (1-20)
- Compares MA to its own average
- Adjustable RS Length (default 14)
- Visual feedback via background color:
- Green: MA above its average (uptrend)
- Red: MA below its average (downtrend)
- Customizable colors and transparency
6. Moving Average Types Available
1. **SMA** (Simple Moving Average)
- Equal weight to all prices
2. **EMA** (Exponential Moving Average)
- More weight to recent prices
3. **DEMA** (Double Exponential Moving Average)
- Reduced lag compared to EMA
4. **VWMA** (Volume Weighted Moving Average)
- Incorporates volume data
5. **RMA** (Running Moving Average)
- Smoother than EMA
6. **WMA** (Weighted Moving Average)
- Linear weight distribution
Usage Tips
1. **For Trend Following:**
- Enable longer-period MAs (MA4-MA8)
- Use cross alerts between long-term MAs
- Monitor RS for trend strength
2. **For Short-term Trading:**
- Focus on shorter-period MAs (MA1-MA3, MA9-MA11)
- Enable price cross alerts
- Use multiple timeframe analysis
3. **For Multiple Timeframe Analysis:**
- Disable global timeframe
- Set different timeframes for each MA
- Compare MA relationships across timeframes
4. **For Performance:**
- Disable unused MAs
- Limit active alerts to necessary pairs
- Use RS selectively on key MAs
Closest Candle to EMA (CCE)🔍 Closest Candle to EMA (CCE)
The Closest Candle to EMA (CCE) indicator is a visual analytical tool designed to identify the historical price (candle close) that is closest to the current Exponential Moving Average (EMA) over a user-defined period. This allows traders to easily detect how price has interacted with the trend line recently, providing insights into potential mean reversion, support/resistance, and price convergence behavior.
📌 Key Features
✅ Highlights the candle with a closing price closest to the current EMA
✅ Customizable EMA length for various trading styles and timeframes
✅ Helps detect potential zones of trend interaction
✅ Supports analysis of price behavior near dynamic support/resistance
✅ Lightweight and non-intrusive visual overlay (red = closest price, blue = EMA)
🧠 How It Works
The script calculates the EMA using the user-defined length (default: 20).
It then scans the last N candles (equal to the EMA length) and finds the one whose closing price is closest to the current EMA value.
That close is highlighted in red, while the EMA is shown in blue.
This comparison helps traders understand the proximity of past price action to the current trend level.
💡 Use Cases
Mean Reversion Strategies – Spot when price historically reverts to the trend
Dynamic Support/Resistance Identification – Find levels where price respected or returned to the EMA
Consolidation Zone Analysis – Identify areas where price hovered around trend lines
Backtesting Trend Sensitivity – See how price reacted to EMA over time
⚙️ Settings
EMA Length – Set the number of periods used for EMA and comparison window (default: 20)
📊 Example Strategy Setup – EMA Touch with Reversal Candle
This indicator can be incorporated into a price-action strategy that combines candlestick patterns, EMA proximity, and volume confirmation. Here's a practical use case:
🔧 Note: This setup is designed specifically with the EMA length set to 9.
🔁 Bullish Setup – Hammer + EMA (in uptrend)
The market is in an uptrend, confirmed by EMA(9) sloping upward
A Hammer candlestick forms
The EMA (blue) must touch the lower shadow (wick) of the Hammer
It must not touch the candle body
Candle volume is above average
→ ✅ This may signal a bullish continuation opportunity
🔁 Bearish Setup – Shooting Star + EMA (in downtrend)
The market is in a downtrend, confirmed by EMA(9) sloping downward
A Shooting Star candlestick forms
The EMA (blue) must touch the upper shadow (wick) of the candle
It must not touch the candle body
Candle volume is above average
EMA SuiteFor strategies with moving averages, of course. My preference is to use Fibonacci values, but it can be configured with any setup. When working on a single timeframe, it allows adding averages or groups of averages from other timeframes, I’ve used this for scalping. The indicator is designed to be dynamic and adaptable. By editing the script, it’s easy to add or remove averages.
Larger averages might slow down loading, and a color palette selector could be added since manually setting 11 values is tedious.
I’m open to any suggestions
MACD + SMA 200 Indicator v6🔹 Overview
This advanced indicator combines MACD components with a 200-period SMA to identify high-probability trend directions. It provides:
✅ Multi-timeframe trend analysis (Fast, Slow, and Very Slow MAs)
✅ Visual alerts when the 200 SMA changes direction (bullish/bearish)
✅ Customizable display options (toggle MAs on/off individually)
✅ Clean, professional visuals with color-coded trend confirmation
Perfect for swing traders and investors who want to align with the dominant trend while avoiding false signals.
📊 Key Features
1. Triple Moving Average System
Fast MA (12-period) – Short-term momentum
Slow MA (26-period) – Medium-term trend
Very Slow MA (200-period) – Long-term trend filter (bullish/bearish market)
2. Smart Trend Detection
200 SMA Color Shift: Automatically changes color when trend reverses (green = bullish, red = bearish).
Visual Labels ("BU" / "SD"): Marks where the 200 SMA confirms a new trend direction.
3. Fully Customizable
Toggle each MA on/off (reduce clutter if needed).
Enable/disable colors for cleaner charts.
Adjustable lengths for all moving averages.
4. Built-in Alerts
🔔 "Very Slow MA Turned Green" – Signals potential bullish reversal.
🔔 "Very Slow MA Turned Red" – Signals potential bearish reversal.
🎯 How to Use This Indicator
📈 Bullish Confirmation (Long Setup)
✔ Price above 200 SMA (Very Slow MA turns green)
✔ Fast MA (12) > Slow MA (26) (MACD momentum supports uptrend)
✔ "BU" label appears (confirms trend shift)
📉 Bearish Confirmation (Short Setup)
✔ Price below 200 SMA (Very Slow MA turns red)
✔ Fast MA (12) < Slow MA (26) (MACD momentum supports downtrend)
✔ "SD" label appears (confirms trend shift)
⚙️ Settings & Customization
MA Visibility: Turn individual MAs on/off.
Colors: Disable if you prefer a minimal chart.
Alerts: Enable to get notifications when the 200 SMA changes trend.
📌 Why This Indicator?
Avoid false signals by combining MACD with the 200 SMA.
Clear visual cues make trend identification effortless.
Works on all timeframes (best on 1H, 4H, Daily for swing trades).
🔗 Try it now and trade with the trend! 🚀
📥 Get the Indicator
👉 Click "Add to Chart" and customize it to your trading style!
💬 Feedback? Let me know in the comments how it works for you!
WaveFunction MACD (TechnoBlooms)WaveFunction MACD — The Next Generation of Market Momentum
WaveFunction MACD is an advanced hybrid momentum indicator that merges:
• The classical MACD crossover logic (based on moving averages)
• Wave physics (modeled through phase energy and cosine functions)
• Hilbert Transform theory from signal processing
• The concept of a wavefunction from quantum mechanics, where price action is seen as a probabilistic energy wave—not just a trend.
✨ Key Features of WaveFunction MACD
• Wave Energy Logic : Instead of using just price and MA differences, this indicator computes phase-corrected momentum using the cosine of the wave phase angle — revealing the true energy behind market moves.
• Phase-Based Trend Detection : It reads cycle phases using Hilbert Transform-like logic, allowing you to spot momentum before it becomes visible in price.
• Ultra-Smooth Flow : The main line and histogram are built to follow price flow smoothly — eliminating much of the noise found in traditional MACD indicators.
• Signal Amplification via Energy Histogram : The histogram doesn’t just show momentum changes — it shows the intensity of wave energy, allowing you to confirm the strength of the trend.
• Physics-Driven Structure : The algorithm is rooted in real-world wave mechanics, bringing a scientific edge to trading — ideal for traders who believe in natural models like cycles and harmonics.
• Trend Confirmation & Early Reversals : It can confirm strong trends and also catch subtle shifts that often precede big reversals — giving you both reliability and anticipation.
• Ready for Fusion : Designed to work seamlessly with liquidity zones, price action, order blocks, and structure trading — a perfect fit for modern trading systems.
🧪 The Science Behind It
This tool blends:
• Hilbert Transform: Measures the phase of a waveform (price cycle) to detect turning points
• Cosine Phase Energy: Calculates true wave energy using the cosine of the phase angle, revealing the strength behind price movements
• Quantum Modeling: Views price like a wavefunction, offering predictive insight based on phase dynamics
Machine Learning: ARIMA + SARIMADescription
The ARIMA (Autoregressive Integrated Moving Average) and SARIMA (Seasonal ARIMA) are advanced statistical models that use machine learning to forecast future price movements. It uses autoregression to find the relationship between observed data and its lagged observations. The data is differenced to make it more predictable. The MA component creates a dependency between observations and residual errors. The parameters are automatically adjusted to market conditions.
Differences
ARIMA - This excels at identifying trends in the form of directions
SARIMA - Incorporates seasonality. It's better at capturing patterns previously seen
How To Use
1. Model: Determine if you want to use ARIMA (better for direction) or SARIMA (better for overall prediction). You can click on the 'Show Historic Prediction' to see the direction of the previous candles. Green = forecast ending up, red = forecast ending down
2. Metrics: The RMSE% and MAPE are 10 day moving averages of the first 10 predictions made at candle close. They're error metrics that compare the observed data with the predicted data. It is better to use them when they're below 8%. Higher timeframes will be higher, as these models are partly mean-reverting and higher TFs tend to trend more. Better to compare RMSE% and MAPE with similar timeframes. They naturally lag as data is being collected
3. Parameter selection: The simpler, the better. Both are used for ARIMA(1,1,1) and SARIMA(1,1,1)(1,1,1)5. Increasing may cause overfitting
4. Training period: Keep at 50. Because of limitations in pine, higher values do not make for more powerful forecasts. They will only criminally lag. So best to keep between 20 and 80
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups:
Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum.
Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends.
By analyzing the interaction between these two groups, the indicator identifies:
Bullish and bearish trends based on the relative positions of the short- and long-term EMAs.
Momentum strength through the spread or convergence of the EMAs.
Potential reversals or breakouts via compression signals.
This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights.
The GMMA Momentum Indicator provides several key features:
1. Trend Identification
Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition.
Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal.
2. Momentum Analysis
The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend.
3. Compression Detection
Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action.
4. Visual Cues
Green short-term EMAs: Show short-term trader activity.
Blue long-term EMAs: Represent long-term investor sentiment.
Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions.
Orange downward triangles: Mark new bearish trends.
Yellow upward triangles: Indicate compression, hinting at potential breakouts.
How to Use the GMMA Momentum Indicator for Swing Trading
Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively:
1. Identifying Trade Entries
Buy Opportunities:
Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum.
A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry.
Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move.
Sell Opportunities:
Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs.
Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs.
2. Managing Trades
Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops.
Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops.
3. Anticipating Reversals
Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation.
Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing.
4. Best Practices
Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes.
Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals.
Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
Best SMA FinderThis script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency.
What it does:
The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested SMA, it computes:
- Total number of trades
- Profit Factor (total profits / total losses)
- Win Rate
- A composite Robustness Score, which integrates Profit Factor, number of trades (log-scaled), and win rate.
Only SMA configurations that meet the user-defined minimum trade count are considered valid. Among all valid candidates, the script selects the SMA length with the highest robustness score and plots it on the chart.
How to use it:
- Choose the strategy type: "Long Only" or "Buy & Sell"
- Set the minimum trade count to filter out statistically irrelevant results
- Enable or disable the summary stats table (default: enabled)
The selected optimal SMA is plotted on the chart in blue. The optional table in the top-right corner shows the corresponding SMA length, trade count, Profit Factor, Win Rate, and Robustness Score for transparency.
Key Features:
- Exhaustive SMA optimization across 991 values
- Customizable trade direction and minimum trade filters
- In-chart visualization of results via table and plotted optimal SMA
- Uses a custom robustness formula to rank SMA lengths
Use cases:
Ideal for traders who want to backtest and auto-select a historically effective SMA without manual trial-and-error. Useful for swing and trend-following strategies across different timeframes.
📌 Limitations:
- Not a full trading strategy with position sizing or stop-loss logic
- Only one entry per direction at a time is allowed
- Designed for exploration and optimization, not as a ready-to-trade system
This script is open-source and built entirely from original code and logic. It does not replicate any closed-source script or reuse significant external open-source components.
UM Dual MA with Price Bar Color change & Fill
Description
This is a dual moving average indicator with colored bars and moving averages. I wrote this indicator to keep myself on the right side of the market and trends. It plots two moving averages, (length and type of MA are user-defined) and colors the MAs green when trending higher or red when trending lower. The price bars are green when both MAs are green, red when both MAs are red, and orange when one MA is green and the other is red. The idea behind the indicator is to be extremely visual. If I am buying a red bar, I ask myself "why?" If I am selling a green bar, again, "why?"
Recommended Usage
Configure your tow favorite Moving averages. Consider long positions when one or both turn green. Scale into a position with a portion upon the first MA turning green, and then more when the second turns green. Consider scaling out when the bars are orange after an up move.
Orange bars are either areas of consolidation or prior to major turns.
You can also look for MA crossovers.
The indicator works on any timeframe and any security. I use it on daily, hourly, 2 day charts.
Default settings
The defaults are the author's preferred settings:
- 8 period WMA and 16 period WMA.
- Bars are green when both MAs are trending higher, red when both MAs are trending lower, and orange when one MA is trending higher and the other is trending lower.
Moving average types, lengths, and colors are user-configurable. Bar colors are also user-configurable.
Alerts
Alerts can be set by right-clicking the indicator and selecting the dropdown:
- Bullish Trend Both MAs turning green
- Bearish Trend Both MAs turning red
- Mixed Trend, 1 green 1 red MA
Helpful Hints:
Look for bullish areas when both MAs turn green after a sustained downtrend
Look for bearish areas when both MAs turn red
Careful in areas of orange bars, this could be a consolidation or a warning to a potential trend direction change.
Switch up your timeframes, I toggle back and forth between 1 and 2 days.
Stretch your timeframe over a lower time frame; for example, I like the 8 and 16 daily WMA. With most securities I get 16 bars with pre and post market. This translates into 128 and 256 MAs on the hourly chart. This slows down moves and color transitions for better manageability.
Author's Subjective Observations
I like the 128/256 WMA on the hourly charts for leveraged and inverse ETFs such as SPXL/SPXS, TQQQ/SQQQ, TNA/TZA. Or even the volatility ETFs/ETNS: UVXY, VXX.
Here is a one-hour chart example:
I have noticed that as volatility increases, I should begin looking at higher timeframes. This seems counterintuitive, but higher volatility increases the level of noise or swings.
I question myself when I short a green bar or buy a red bar; "Why am I doing this?" The colors help me visually stay on the right side of trend. If I am going to speculate on a market turn, at least do it when the bars are orange (MA trends differ)
My last observation is a 2-day chart of leveraged ETFs with the 8 and 16 WMAs. I frequently trade SPXL, FNGA, and TNA. If you are really dissecting this indicator,
look at a few 2-day charts. 2-day charts seem to catch the major swings nicely up and down. They also weed out the daily sudden big swings such as a panic move from economic data
or tweets. When both the MAs turn red on a 2-day chart the same day or same bar, beware; this could be a rough ride or short opportunity. I found weekly charts too long for my style but good
to review for direction. Less decisions on longer charts equate to less brain damage for myself.
These are just my thoughts, of course you do you and what suits your style best! Happy Trading.
weighted support or resistance linesQ: Why should users choose this script?
A: I found that in all the publicly available scripts about support and resistance lines, there is basically no weight identification for these lines. In other words, users do not know which support or resistance lines are the most important. So I specifically wrote this script.
1. By adjusting the weights, only the most effective support or resistance lines are displayed. (Length threshold of trend price (Bar))
2. By selecting the number of K-lines, only the latest number of support or resistance lines generated will be displayed. (Maximum number of reserved S/R lines)
3. By selecting whether to automatically remove lines, only support or resistance lines that have not been penetrated by the k-line will be displayed. If this function is checked, the weight can be adjusted lower, as high-weight SR may have already been penetrated, and the newly generated SR may have a lower weight. (Automatically remove lines penetrated by closing price confirmation)
4. Notes: The default parameters work well in 15-minute candlestick charts. For candlestick charts with other time periods, the parameters can be adjusted appropriately. It is suitable for sideways trading but not for strong trends.
5. I'm quite satisfied with the performance of the script, as I specifically optimized it, lol
Institutional Support/Resistance Locator🏛️ Institutional Support/Resistance Locator
Overview
The Institutional Support/Resistance Locator identifies high-probability demand and supply zones based on strong price rejection, large candle bodies, and elevated volume . These zones are commonly targeted or defended by institutional participants, helping traders anticipate potential reversal or continuation areas.
⸻
How It Works
The indicator uses a confluence of conditions to detect zones:
• Large Body Candles: Body size must exceed the moving average body size multiplied by a user-defined factor.
• High Volume: Volume must exceed the moving average volume by a configurable multiplier.
• Wick Rejection: Candles must show strong upper or lower wicks indicating aggressive rejection.
• If all criteria are met:
• Bullish candles form a Demand Zone.
• Bearish candles form a Supply Zone.
Each zone is plotted for a customizable number of future bars, representing areas where institutions may re-engage with the market.
⸻
Key Features
• ✅ Highlights institutional demand and supply areas dynamically
• ✅ Customizable sensitivity: body, volume, wick, padding, and zone extension
• ✅ Zones plotted as translucent regions with auto-expiry
• ✅ Works across all timeframes and markets
⸻
How to Use
• Trend Traders: Use demand zones for potential bounce entries in uptrends, and supply zones for pullback short entries in downtrends.
• Range Traders: Use zones as potential reversal points inside sideways market structures.
• Scalpers & Intraday Traders: Combine with volume or price action near zones for refined entries.
Always validate zone reactions with supporting indicators or price behavior.
⸻
Why This Combination?
The combination of wick rejection, volume confirmation, and large candle structure is designed to reflect footprints of smart money. Rather than relying on fixed pivots or subjective zones, this logic adapts to the current market context with statistically grounded conditions.
⸻
Why It’s Worth Using
This tool offers traders a structured way to interpret institutional activity on charts without relying on guesswork. By plotting potential high-impact areas, it helps improve reaction time.
⸻
Note :
• This script is open-source and non-commercial.
• No performance guarantees or unrealistic claims are made.
• It is intended for educational and analytical purposes only.
Triangle Breakout Strategy with TP/SL, EMA Filter📌 Triangle Breakout Strategy with TP/SL, EMA Filters, and Backtest – Explained.
✅ 1. Pattern Detection – Triangle Breakout
The script scans for triangle patterns by detecting local pivot highs and pivot lows.
It uses two recent highs and two recent lows to draw converging trendlines (upper and lower boundaries of the triangle).
If the price breaks above the upper trendline, a bullish breakout signal is generated.
🎯 2. TP (Take Profit) & SL (Stop Loss)
When a bullish breakout is detected:
A buy order is placed using strategy.entry.
TP and SL levels are calculated relative to the current close price:
TP = 3% above the entry price
SL = 1.5% below the entry price
These are defined using strategy.exit.
📊 3. EMA Filter
An optional filter checks if:
Price is above both EMA 20 and EMA 50
Only if this condition is met, the strategy allows a long entry.
You can toggle the filter on or off with useEMAFilter.
📈 4. Backtesting with Strategy Tester
This script uses strategy() instead of indicator() to enable TradingView’s built-in backtest engine.
Every buy entry and exit (based on TP or SL) is recorded.
📌 5. Visuals
EMA 20 and EMA 50 lines are plotted on the chart.
A label is shown when a breakout is detected: "Breakout Up"
Results (profit, win rate, drawdown, etc.) can be viewed in the Strategy Tester panel.
Volume towers by GSK-VIZAG-AP-INDIAVolume Towers by GSK-VIZAG-AP-INDIA
Overview :
This Pine Script visualizes volume activity and provides insights into market sentiment through the display of buying and selling volume, alongside moving averages. It highlights high and low volume candles, enabling traders to make informed decisions based on volume anomalies. The script is designed to identify key volume conditions, such as below-average volume, high-volume candles, and their relationship to price movement.
Script Details:
The script calculates a Simple Moving Average (SMA) of the volume over a user-defined period and categorizes volume into several states:
Below Average Volume: Volume is below the moving average.
High Volume: Volume exceeds the moving average by a multiplier (configurable by the user).
Low Volume: Volume that doesn’t qualify as either high or below average.
Additionally, the script distinguishes between buying volume (when the close is higher than the open) and selling volume (when the close is lower than the open). This categorization is color-coded for better visualization:
Green: Below average buying volume.
Red: Below average selling volume.
Blue: High-volume buying.
Purple: High-volume selling.
Black: Low volume.
The Volume Moving Average (SMA) is plotted as a reference line, helping users identify trends in volume over time.
Features & Customization:
Customizable Inputs:
Volume MA Length: The period for calculating the volume moving average (default is 20).
High Volume Multiplier: A multiplier for defining high volume conditions (default is 2.0).
Color-Coded Volume Histograms:
Different colors are used for buying and selling volume, as well as high and low-volume candles, for quick visual analysis.
Alerts:
Alerts can be set for the following conditions:
Below-average buying volume.
Below-average selling volume.
High-volume conditions.
How It Works:
Volume Moving Average (SMA) is calculated using the user-defined period (length), and it acts as the baseline for categorizing volume.
Volume Conditions:
Below Average Volume: Identifies candles with volume below the SMA.
High Volume: Identifies candles where volume exceeds the SMA by the set multiplier (highVolumeMultiplier).
Low Volume: When volume is neither high nor below average.
Buying and Selling Volume:
The script identifies buying and selling volume based on the closing price relative to the opening price:
Buying Volume: When the close is greater than the open.
Selling Volume: When the close is less than the open.
Volume histograms are then plotted using the respective colors for quick visualization of volume trends.
User Interface & Settings:
Inputs:
Volume MA Length: Adjust the period for the volume moving average.
High Volume Multiplier: Define the multiplier for high volume conditions.
Plots:
Buying Volume: Green bars indicate buying volume.
Selling Volume: Red bars indicate selling volume.
High Volume: Blue or purple bars for high-volume candles.
Low Volume: Black bars for low-volume candles.
Volume Moving Average Line: Displays the moving average line for reference.
Source Code / Authorship:
Author: prowelltraders
Disclaimer:
This script is intended for educational purposes only. While it visualizes important volume data, users are encouraged to perform their own research and testing before applying this script for trading decisions. No guarantees are made regarding the effectiveness of this script for real-world trading.
Contact & Support:
For questions, support, or feedback, please reach out to the author directly through TradingView (prowelltraders).
Signature:
GSK-VIZAG-AP-INDIA
Price-Confirmed Hull Moving AverageThis is a modified HULL moving average that adds some enhancements providing visual clues as to a change in trend direction. The user can add slight modifications to the abruptness of trend change indications, which are clearly seen by the color change of the hull line itself. The user can also choose to have the background color change for easier visual indication that the hull line has changed slope direction. In addition, the user can either have both the line and the background visuals on, or turn one or the other (or both) off.
The purpose of this HULL moving average is to provide easy identification of trend direction within the scope of the moving average values provided in settings.
Fibonacci + TP/SL Strategy [Backtest]✅ Key Features Added and Adjusted:
Fibonacci Retracement Levels:
Automatically calculated based on the last 100 bars' high/low
Plotted levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%
Extension targets: 161.8%, 261.8%, 423.6%
Buy/Sell Signal Logic:
Buy: Price is between 78.6% and 38.2% levels
Sell: Price is between 61.8% and 23.6% levels
Both depend on a can_trade time filter to avoid overtrading
ATR-based Stop-Loss:
Stop-loss dynamically adapts to market volatility:
SL = Entry - ATR * 1.5 (long)
SL = Entry + ATR * 1.5 (short)
Fixed Take-Profit:
Configurable via input: default is 4%
Can be changed in TradingView UI
Golden/Death Cross Indicator (Visual Only):
EMA 50 crossing EMA 200 plotted on chart:
Golden Cross = Buy signal (green triangle)
Death Cross = Sell signal (red triangle)
Weekly Profit Cap:
Prevents new trades if weekly profit exceeds 15%
Resets at the start of every week
Visual Elements:
All Fibonacci levels are plotted
Buy/Sell signals are labeled on the chart (BUY, SELL)
Weekly Moving Averages (MAs) to Intraday ChartThis indicator overlays key weekly timeframe moving averages onto your intraday chart, allowing you to visualize important long-term support and resistance levels while trading shorter timeframes. The indicator includes:
330-period Simple Moving Average (white): Ultra long-term trend indicator
200-period Simple Moving Average (fuchsia): Major long-term trend indicator often watched by institutional traders
100-period Simple Moving Average (purple): Medium-to-long term trend indicator
50-period Exponential Moving Average (blue): Medium-term trend indicator, more responsive to recent price action
21-period Exponential Moving Average (teal): Short-to-medium term trend indicator
9-period Exponential Moving Average (aqua): Short-term trend indicator, highly responsive to recent price movements
This multi-timeframe approach helps identify significant support/resistance zones that might not be visible on your current timeframe. When price interacts with these weekly moving averages during intraday trading, it often signals important areas where institutional orders may be placed.
The indicator uses color-coding with increasing line thickness to help you quickly distinguish between different moving averages. Consider areas where multiple MAs cluster together as particularly strong support/resistance zones.
Perfect for day traders and swing traders who want to maintain awareness of the bigger picture while focusing on shorter-term price action.
Hull Moving Average with Cloud📈 Hull Moving Average with Cloud – Adaptive Trend Visualization
This indicator combines the power of the Hull Moving Average (HMA) with a visual signal line and trend cloud, giving traders a clearer view of market direction, momentum shifts, and potential reversals.
🔍 Key Features:
Dynamic HMA Length (optional): Adjusts the HMA period based on ATR volatility, allowing the moving average to adapt to changing market conditions.
Custom Smoothing Options: Smooth the main HMA with your choice of SMA, EMA, or WMA for a tailored trend line.
Signal Line (Orange HMA): A shorter-period Hull MA that acts as a trigger line for crossovers and trend changes.
Color-Coded Trend Cloud:
🟩 Green Cloud: Bullish – main HMA is above the signal HMA.
🟥 Red Cloud: Bearish – main HMA is below the signal HMA.
Real-Time Trend Coloring: Both lines dynamically change color based on slope (green for rising, red/purple for falling).
Offset Capability: Shift the HMA forward to visualize trend development and potential future direction.
✅ Use Cases:
Identify trend direction with cloud coloration.
Spot early reversals through HMA crossover signals.
Filter trades with volatility-aware moving average responsiveness.
RSI-EMA-Crossing with Donchian-Stop-LossThe Donchian RSI Indicator is a visual tool that combines momentum and trend analysis to identify high-quality long opportunities based on RSI crossovers, price action, and Donchian channel dynamics.
How It Works
Momentum Signal: A bullish RSI crossover is detected when the RSI crosses above its moving average.
Trend Filter: A signal is only valid if the crossover occurs while the price is above its moving average – filtering out entries against the prevailing trend.
Signal Candle: The high of the crossover candle is stored.
Entry Trigger: A valid signal occurs when a later candle closes above that signal high.
Stop-Loss (Visual Only)
The lower band of the Donchian Channel acts as a visual reference for a dynamic stop-loss level.
Features
Customizable RSI, Donchian Channel, and moving average lengths
Selectable MA types: SMA, EMA, WMA, VWMA, HMA
Signal candle highlighted (yellow background)
Entry points labeled on the chart
Price MA and Donchian Channel plotted
Trend filter improves signal quality by confirming upward bias
Use Case
Designed for swing and position traders
Optimized for use on daily or 4H charts
MA cross X MAdiff<>atrfilter)📈 MA cross X MAdiff<>ATR filter
Smarter Trend Confirmation Using Adaptive Volatility Thresholds
🔍 What It Does
This indicator upgrades classic moving average crossovers by adding volatility awareness via ATR filtering. Instead of reacting to every small crossover, it waits for the distance between two moving averages to exceed a volatility-adjusted threshold, making signals more meaningful and less noisy.
⚙️ Core Logic
Calculates the difference between a Fast MA and a Slow MA.
Uses Average True Range (ATR) as a dynamic volatility filter.
Confirms trend only when MA difference exceeds:
diff > ATR × multiplier → Bullish
diff < -ATR × multiplier → Bearish
Otherwise: Neutral (gray zone)
The gray zone avoids false signals by detecting indecision or choppy markets.
🧠 Customizable Inputs
Choose any MA type independently for Fast and Slow:
SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, LSMA, Kijun
Control sensitivity via:
ATR Length
ATR Multiplier
✅ Why It Works
Reduces fake outs in ranging markets.
Adapts to volatility automatically.
Fully customizable for any asset or style.
Ideal for trend traders, momentum entries, or as a confluence layer.
EMA/SMA Combo + ADR (v6)This script combines popular moving averages with a clean, info-rich ADR table – perfect for traders who trade breakouts.
✳️ Features:
• 🟦 EMA 10 / 20 / 50 / 100 / 200 → shown as dotted points
• 🔷 SMA 10 / 20 / 50 / 100 / 200 → shown as solid lines
• 🎛️ All lines can be individually toggled on/off
• 📊 ADR info table shows average range, today’s range & % of ADR
🎯 Ideal for:
• Intraday traders looking for clean MAs & volatility reference
• Swing traders seeking strong confluence zones
• Anyone who prefers a minimalistic, customizable overlay
🧠 Pro Tip: The ADR table is styled for light charts – black text, no background. You can customize the MA display exactly as you like.
Trade smart, stay sharp! 🚀
30-70 RSI Strategy with Colored BarThis script colors price bars based on Relative Strength Index (RSI) levels, giving traders a quick and visual way to assess overbought or oversold market conditions directly on the chart.
📈 Key Features:
✅ RSI-Based Bar Coloring:
Green bars when RSI is above the upper threshold (default 70) – suggests bullish momentum.
Red bars when RSI is below the lower threshold (default 30) – indicates bearish pressure.
Bars remain uncolored when RSI is between thresholds – a neutral zone.
🔧 Customizable RSI Settings:
Adjustable RSI length (default: 14 periods)
Adjustable overbought/oversold levels (default: 70/30)
🧠 Helps traders:
Quickly spot potential reversals or trend continuations
Visually align price action with momentum
🛠️ Usage:
Ideal for trend-following, reversal, and momentum strategies.
Works across any timeframe (1m, 5m, 1h, daily, etc.).
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
