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
ZenAlgo - AvengerThe ZenAlgo - Avenger indicator provides a multi-layered view of market behavior by combining volume delta analytics, trend-following EMAs, average price comparison, and price-volume profiling into a unified overlay. It is designed to visually assist traders in identifying areas of interest, momentum shifts, and potential reversals using cumulative data from both spot and perpetual markets.
Volume Delta Calculation
This indicator computes delta as the difference between estimated buy and sell volumes using volume data from multiple centralized exchanges. It distinguishes between spot and perpetual volumes, combining them into total volume.
To estimate buying and selling volume from raw volume data, candle structure is broken down into body and wicks. The body is interpreted as the core directional movement (buy/sell), while the wicks are treated as uncertain or counteraction. This segmentation helps infer the likely share of buying and selling within each bar.
The delta is calculated per bar and then aggregated over a lookback period (default 14 bars) to generate a cumulative delta. This approach provides a smoothed value of volume pressure trends over time.
A moving average is applied to the delta values (using selectable MA types like EMA or SMA) to define signal crossovers and suppress noise.
Delta Visualization
To contextualize delta within price action, the delta is scaled dynamically (by ATR or user-defined value) and plotted as a band around the closing price. Positive delta expands upward from price, negative delta downward. This provides a visual overlay that reflects net market pressure in context with price movement.
In cases of extreme delta (threshold set at 80% of recent maximum), the indicator marks spike bars using symbols to indicate significant directional pressure.
Identification of Noteworthy Conditions
The indicator highlights points on the chart where specific conditions are met based on the interaction between volume delta and its moving average. These conditions may align with moments of market pressure imbalance and directional movement, but they are not to be interpreted as trade signals in isolation.
Instead, these chart markers serve as visual flags for potential interest. They are intended to draw the user’s attention to scenarios where:
The delta crosses above or below its moving average, suggesting a potential shift in volume pressure.
The cumulative delta supports the direction of this crossover.
Optional filters can further restrict these markings to periods where:
The short-term trend (as inferred from EMA slope) supports the direction.
Volume is elevated relative to a recent average.
A user-defined cooldown period prevents multiple markings within short succession to avoid clutter.
It is essential to underscore that these markers do not constitute buy or sell advice . Their role is diagnostic , helping the trader to identify potential moments of interest which should be analyzed in conjunction with broader context, such as trend structure, price action, support/resistance levels, or external market data.
EMA Structure
Six EMAs with fixed lengths (13 to 56) are plotted and colored dynamically based on the most recent crossover between the fastest and slowest (EMA1 and EMA6). These EMAs help visualize short- to mid-term trends. The crossover itself is marked with symbols, with vertical offset based on ATR to maintain chart readability.
Average Line (AVG)
The indicator also calculates an average price based on a fixed window (100 bars). This is not a standard moving average but rather a raw average of recent prices stored in a circular buffer. The average is plotted, and its relative distance to the current price is labeled as a percentage. This feature serves as a simplified representation of fair value or mean reversion anchor.
EMA6 vs AVG Cross
Another layer of point of interest detection involves EMA6 crossing the AVG line. This crossover is only considered valid if EMA6 shows slope consistency in the crossing direction. These events are marked using symbols and offset vertically to avoid overlapping price action.
Divergence Detection
The script detects both regular and hidden divergences between price and delta:
Regular divergences are defined when price makes a higher high or lower low, while delta fails to confirm (makes a lower high or higher low).
Hidden divergences occur when price retraces (lower high or higher low), but delta moves against this retracement, indicating underlying strength or weakness.
Divergence points are labeled with "R" (regular) or "H" (hidden) and appear at local pivot highs or lows. The number of visible divergence labels can be limited for chart clarity.
POC and nPOC Calculations
The script includes a simplified volume profile implementation, calculating:
POC (Point of Control): the price level with the highest volume for the given period.
nPOC (non-tested POC): historical POCs that have not yet been revisited by price.
Price levels are bucketed into rows (user-defined), and volume per bucket is tracked to identify the POC. Upon a new period (e.g., day, week), a horizontal POC line is drawn. Once tested by price, the line’s appearance changes (color fades, label shrinks), helping users distinguish between untouched and touched levels.
Limits are enforced on the number of retained POCs and their maximum distance from current bars to optimize performance and chart readability.
Exchange Aggregation
Volume data is aggregated across major exchanges. This ensures that the delta calculation captures a broader market picture beyond a single venue, reducing exchange-specific noise.
How to Interpret Values
Delta Band: Wide bands indicate strong directional imbalance. Narrow bands suggest indecision or low volume.
EMA Crossover Symbols: Appear on directional shifts in moving averages. Multiple EMAs reinforcing the same slope typically indicate stronger trend.
AVG Line: Represents average price over recent history. Large deviations can indicate overextension or potential mean reversion.
Divergences: Regular ones may point to weakening momentum; hidden ones can suggest continuation despite corrective price action.
POC / nPOC: Key volume-based support/resistance levels. Untested nPOCs can act as magnets for price retests.
How to Best Use This Indicator
Use in conjunction with trend context (e.g., higher timeframe EMAs) to avoid counter-trend indications.
Treat delta spikes as caution zones—especially if they occur at known support/resistance.
Watch for divergences as early warning signs before price reverses.
Use POC/nPOC as target levels, especially if aligned with delta signals.
Apply volume and trend filters to reduce noise on shorter timeframes.
Added Value
Multi-exchange volume aggregation makes the delta calculation more robust.
Real-time cumulative delta overlaid directly on the price chart provides immediate context.
Points of interest on chart are conservative and filterable, intended to reduce false positives.
The combination of delta, trend-following EMAs, fair value line, and volume profile data is rarely found in one overlay script.
POC/nPOC visualization based on real traded volume helps identify high-interest zones for future price interaction.
Why Is It Worth Paying For
While free alternatives may provide partial insights (e.g., basic delta or single EMA crossovers), this indicator integrates multiple domains—delta, divergence, average price, trend overlays, and profile levels—into a coherent, optimized chart tool. The value lies not just in having these tools, but in how they are synchronized and visualized.
Furthermore, sourcing and synchronizing volume data from multiple exchanges for delta estimation is not straightforward in Pine Script and adds to the indicator's complexity and utility.
Disclaimers and Limitations
Delta estimation is based on candle structure and assumes wick/body distribution reflects buyer/seller activity, which may not always be precise.
Multi-exchange volume data relies on availability via TradingView’s request.security() function; if exchange data is missing or delayed, results may be incomplete.
Divergences do not guarantee reversals—should be used as part of a broader analysis framework.
On illiquid instruments or exotic pairs, the value of delta and volume-based analytics may be reduced due to unreliable volume.
EMA Cloud with Custom MAs and RSI [deepakks444]This all-in-one technical analysis tool merges an EMA Cloud, customizable dual moving averages (MA1 & MA2), and an advanced RSI oscillator with divergence detection, smoothing, and alerts.
Designed for traders who rely on trend direction, momentum, and reversal confluence, this indicator helps filter high-probability setups and reduces the need to juggle multiple indicators on the chart.
🔍 Components and Features
🔸 1. EMA Cloud (Trend Filter)
A lightweight 3-period EMA manually calculated using exponential smoothing.
Two EMAs: One tracking highs and one tracking lows.
Creates a "cloud" between them to visually represent short-term trend direction.
Cloud color logic:
🟢 Green: Price is bullish, staying above the EMA cloud.
🔴 Red: Price is bearish, below the EMA cloud.
🟡 Yellow: Price is indecisive or in consolidation.
Why it's useful:
The EMA Cloud helps identify the immediate short-term bias of the market. It quickly reacts to price and gives a clear visual guide for trend-following or pullback trades.
🔸 2. Custom Moving Averages (MA1 & MA2)
Both MA1 and MA2 are user-configurable in type, length, and price source.
Supported types include:
SMA, EMA, WMA, HMA, RMA, VWMA.
Color logic:
🟩 Green: MA1 is below MA2 (bullish alignment).
🟥 Red: MA1 is above MA2 (bearish alignment).
Why include this?
MA crossovers are a classic way to determine medium/long-term trend shifts or confirm trend continuation. The flexibility allows users to tailor them to suit any strategy—from mean reversion to trend-following.
🔸 3. RSI Oscillator with Enhancements
This is more than a basic RSI—it's been expanded to become a momentum engine and divergence detector, complete with alerting and smoothing options.
Main features:
✅ Customizable RSI Source & Length
✅ Colored RSI Zones:
RSI > 60 → Overbought strength zone (green background).
RSI < 40 → Oversold weakness zone (red background).
Neutral background in between.
✅ Smoothing Options:
Apply additional MA smoothing to RSI: SMA, EMA, WMA, RMA, VWMA, or even SMA + Bollinger Bands.
Visualizes volatility around RSI for breakout/reversal analysis.
✅ RSI Alerts:
Alert when RSI crosses above 60 → potential bullish momentum.
Alert when RSI crosses below 40 → potential bearish momentum.
✅ Divergence Detection (Optional):
Bullish Divergence: Price makes lower low while RSI makes higher low → Possible reversal up.
Bearish Divergence: Price makes higher high while RSI makes lower high → Possible reversal down.
Marks divergence using “Bull” and “Bear” labels directly on the RSI pane.
Why enhance RSI?
The RSI is a cornerstone of momentum trading. By adding zone shading, volatility overlays, and divergence detection, traders can better assess:
Whether a trend is strong or weakening.
Whether to enter on continuation or wait for reversal.
Spot early signs of price turning points using divergence patterns.
🤝 Why Merge These Three Systems?
Combining EMA Cloud + MAs + RSI in a single tool allows traders to:
Avoid conflicting signals by seeing multiple confirmations in one view.
Reduce chart clutter by replacing multiple indicators with one efficient visual system.
Get trend, momentum, and reversal analysis all-in-one:
EMA Cloud = short-term trend.
MA1/MA2 = medium-term trend & crossover confirmation.
RSI = momentum extremes, breakout confirmation, or divergence reversal zones.
🔔 Built-in Alerts
RSI crosses above 60 → Potential buy signal.
RSI crosses below 40 → Potential sell signal.
These alerts can be used to automate notifications, integrate with webhook systems, or trigger manual reviews.
⚠️ Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice, and past performance is not indicative of future results. Always use proper risk management and verify signals with your own analysis before trading.
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.
Multi-MA Trend & ATR Band CloudsMulti-MA Trend & ATR Band Clouds
Overview:
Originally designed for scalpers, this indicator provides a detailed and adaptable view of market structure, making it equally effective across all timeframes — from 1-minute charts to daily analysis. It integrates flexible moving average configurations with ATR-based cloud bands for real-time trend and volatility assessment.
Key Features:
Up to 10 customizable moving averages – Select from SMA, EMA, WMA, SMMA, GMA, or hybrid combinations. Each moving average can be individually styled and displayed.
Global trend condition system – Trend direction is determined by a user-defined crossover between two MAs, applied uniformly across all major timeframes (M1 to D1).
Multi-layer ATR-based volatility bands – Three levels of ATR bands are drawn around a base MA, offering insight into dynamic support/resistance and volatility zones.
Fully configurable visual output – Customize opacity, cloud display, curve visibility, and color schemes to fit your charting needs.
Use Cases:
Scalping: Fast trend shift detection and volatility mapping
Intraday trading: Multi-timeframe confirmation and structure tracking
Swing trading: Broader trend and support/resistance zone visualization
Signal development: Create visual or algorithmic confluence systems
Recommended For:
Scalpers, intraday traders, and analysts seeking a structured, real-time view of market dynamics, with flexible parameters and broad applicability.
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.
Cup & Handle Post-Breakout Correction FinderWhat This Script Tries to Do (Simple Summary)
Finds a Specific Setup: It looks for stocks that might be getting ready to move up again after a specific sequence:
A big "Cup & Handle" breakout happened 1-3 years ago.
The stock then pulled back (corrected) for at least a few months (~4 months by default) without crashing too hard (less than 35% drop by default).
The main weekly moving averages are now tightly bunched together (suggesting a pause or "squeeze").
The price just crossed above its 200-day moving average (a potential positive sign).
The price hasn't already broken above the high point of the recent pullback.
The Signal: If all these conditions are met, it places a small, bright green circle below the price bar on your chart.
Reference Line: It also shows the 200-period moving average (usually the 200-week, as this script is best on Weekly charts) as a red line.
Best Way to Use It (Simple Guide)
Use on Daily or Weekly Charts: The script's settings (like pullback in weeks) make it more suitable for the Weekly timeframe.
Look for the Green Circle: This is the main signal that the script found a potential setup matching all its rules.
Don't Trade Blindly! The green circle is just an alert, not a guaranteed buy signal. It means "This stock might fit the pattern, check it out!".
Confirm with Your Eyes & Other Tools:
Does the chart look like the pattern the script is searching for (past breakout, recent pullback, current tightening)?
Switch to the Daily chart to see how the cross above the 200-day EMA looks. Is it clean?
Check the volume. Is buying interest picking up as the signal appears? (Good sign).
Consider the overall market trend. Is it a good time to be buying stocks?
Customize (Optional): You can adjust the settings (gear icon ⚙️) to make the rules stricter or looser (e.g., change the pullback duration, allowed drop percentage, EMA tightness).
Manage Risk: If you decide to trade based on this signal (after confirming it), always know where you'll place your stop-loss in case the pattern fails.
AL Brooks - Price Action Multi-Signal Suite📘 Price Action Multi-Signal Suite📘
This indicator is a complete visual toolset for traders who use price action principles inspired by Al Brooks-style analysis.
It combines multiple nuanced signals — like first/second entries, breakout failures, trend bias, higher-timeframe context, and dynamic trend channels — into one elegant, customizable interface.
It is built with clarity, flexibility, and actionable precision in mind.
🧠 Core Concepts Behind the Tool
1. Trend Bias with EMA (20 by default)
The indicator calculates a standard EMA (default: 20) to establish trend direction bias.
When price is above EMA, we consider the market to be in a bull trend, and vice versa.
The EMA line changes color dynamically — green (bull), red (bear), gray (neutral).
🟢 Example:
If price is forming higher highs and staying above EMA with strong bull bars, the bias is bullish. In this phase, you're looking for High 1 and High 2 (H1/H2) setups.
2. First and Second Entries (H1/H2 and L1/L2)
High 1 (H1): First pullback in a bull trend after a minor new high.
High 2 (H2): A second attempt to push up after a failed H1.
Low 1 (L1) and Low 2 (L2): Mirror the above logic for bear trends.
📈 Example Trade – H2 Long:
Price breaks out above EMA.
Pulls back and forms an H1, but it fails to break out.
Second push (H2) forms a higher low, then closes strong above previous bar → BUY entry.
📉 Example Trade – L2 Short:
Market is below EMA.
A rally creates L1, fails.
L2 forms and closes below the previous bar low with a bear body → SELL entry.
3. Second Entry Logic (Simplified Swing Count)
This adds context to H2/L2 by ensuring at least two swings occurred in the same direction.
Reduces false signals in choppy markets.
Painted as colored circles (aqua = long, fuchsia = short).
4. Breakout Failure Detection
Detects false breakouts using 10-bar highs/lows:
Failed High Breakout: Price breaks a 10-bar high but closes back inside → potential reversal short.
Failed Low Breakout: Price breaks a 10-bar low but closes back inside → potential long.
🚨 Example:
Price breaks above a recent high but closes below it with a strong bear bar → look for reversal or fade setups.
5. Inside / Outside Bars
Helps recognize compression (inside bars) or volatility expansions (outside bars).
Inside bars often precede breakouts.
Outside bars may signal traps or indecision.
Use these in combination with entry logic. An H2 after an inside bar can signal a strong, clean breakout.
6. Higher Timeframe (HTF) Context
Pulls EMA and trend bias from a higher timeframe (default: 1hr).
Background color indicates HTF bias (adjustable opacity).
Green = HTF uptrend.
Red = HTF downtrend.
🧭 Usage: Trade in the direction of the HTF bias when possible. An H2 with HTF bias bullish adds confluence.
7. Trend Channels (Automatic, Visual)
Dynamically draws trend channel lines based on pivot highs/lows.
These act as support/resistance, visual guides for traps or continuation.
Trendline breakouts or touches often align with H2/L2 setups.
📏 Example:
Price touches lower channel and forms a second entry long (L2) with a strong bull bar → high-quality reversal trade.
⚙️ Customization Options
Toggle each signal component (entries, bias, bars, failures, channels).
Adjust EMA length, HTF resolution, background opacity.
Keep your chart clean and focused on the signals that matter to you.
📊 Trade Example Summary
H2 with HTF Bullish
Trade Setup: Strong bull bar after a failed H1, above EMA
Expected Move: Trend continuation upward
L2 with Channel Hit
Trade Setup: Pullback hits lower trend channel, forms L2
Expected Move: Reversal or scalp down
Failed High Breakout
Trade Setup: Price breaks above a 10-bar high, but reverses and closes inside
Expected Move: Quick fade or reversal short
Inside Bar + H2
Trade Setup: Price compresses into an inside bar, followed by a breakout with H2
Expected Move: Momentum breakout trade
Outside Bar + L2
Trade Setup: Price breaks strongly in one direction (outside bar), second push fails upward, forms L2
Expected Move: Short on weakness
Please note, this is an educational idea and representation of whatever I understood of it.
Historical performances may not be replicable in present/future.
Trade at your own responsibility.
Regards! ^^
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.
MBODDS GLOBAL - Enhanceden
MBODDS GLOBAL Indicator – Detailed Interpretation
What does the indicator measure?
Liquidity preferences
Credit risk perception
Market stress levels
Interpreting the ODDS Value
ODDS Value Explanation
Positive ODDS (> 0) SOFR is higher than the T-Bill rate → Interbank liquidity is more expensive → Possible financial stress.
Negative ODDS (< 0) T-Bill rates are higher than SOFR → The government pays more interest in the short term → Liquidity abundance, normal market conditions.
ODDS ≈ 0 Neutral market state → Low stress, market is stable.
Z-Score Interpretation (Extremity Analysis)
The Z-Score measures the standard deviation of ODDS, detecting extreme values:
Z-Score Meaning
> +1.0 Spread is unusually high → Stress/crisis risk increases.
< -1.0 Spread is unusually low → Liquidity could be abundant.
> +2.0 Extremely high spread → Systemic risk (observed during 2008-2020 periods).
≈ 0 Average level → Normal conditions, no notable risk.
The Z-Score functions as an "anomaly detector" for this indicator.
SMA (Simple Moving Average) Interpretation
The 21-day SMA shows the trend of ODDS:
ODDS consistently above SMA: Rising stress and credit costs.
ODDS consistently below SMA: Easier liquidity and lower market concerns.
Threshold Bands (±0.5)
These thresholds are visual guides for alerts:
ODDS > +0.5: Rising stress, potential liquidity tightening → Risky environment.
ODDS < -0.5: Low spread → Abundant liquidity, low stress → Comfortable environment.
Use Cases
Macro analysis (especially after Fed policy changes)
Direction determination in bond, equity, or credit markets
Early signal for stressful periods
Predicting liquidity crises
Conclusion:
This indicator acts as a macro-based "silent alarm." Specifically:
SOFR > T-Bill and Z-Score > 1: Stress and risk are increasing, protection strategies should be considered.
T-Bill > SOFR and Z-Score < -1: Liquidity is abundant, risk appetite may rise.
VWAP Momentum and Volatility IndicatorVWAP Momentum and Volatility Indicator
Merges VWAP trend, momentum oscillators (RSI & Stochastic), volatility measures (ATR & Bollinger Bands) and an optional volume filter into one overlay to generate more reliable buy/sell signals.
1) Components & Rationale
VWAP (Session/Day/Week/Month): Shows the volume-weighted average price trend with selectable reset periods.
VWAP ±1/±2/±3 StdDev Bands: Highlight volatility expansions or contractions—price moves outside these bands can signal breakouts or reversals.
RSI (14): Confirms overbought (>70) and oversold (<30) momentum, reducing false entries.
Stochastic (14, SlowK=3, SlowD=3): Captures momentum shifts; used alongside RSI for stronger confirmation.
ATR (14): Measures absolute price movement to aid in risk sizing and contextualizing band widths.
Bollinger Bands (20, 2σ): Identifies “squeeze” (low volatility) and “expansion” phases.
Volume Filter (optional): Ensures signals are backed by above-average volume.
2) Default Settings
VWAP Reset: Session
StdDev Multiplier: 2.0
VWAP Lookback: 20 bars
RSI: 14 period, Overbought = 70, Oversold = 30
Stochastic: 14 period, SlowK = 3, SlowD = 3
ATR: 14 period
Bollinger Bands: 20 period, Multiplier = 2
Volume Filter: 10-bar SMA threshold at 1.5× average
Visuals: VWAP bands, signal markers, and info table enabled; table positioned top-right at small size.
3) How to Use
Add to chart: Select “VWAP Momentum and Volatility Indicator.”
Adjust inputs: Set reset period, band multiplier, momentum thresholds and volume filter to match your asset and timeframe.
Buy signal: Price crosses above VWAP + (RSI < 50 or Stochastic in oversold) + volume filter pass.
Sell signal: Price crosses below VWAP + (RSI > 50 or Stochastic in overbought) + volume filter pass.
Info table: Review VWAP status, distance (%), band region, RSI, Stochastic, ATR%, Bollinger width, squeeze/expansion, relative volume, and the most recent signal.
4) Warnings & Disclaimer
This indicator is provided for educational purposes only. Always backtest with real funding and volume data, apply your own risk management, and recognize that past performance does not guarantee future results. Use the settings and signals as part of a broader trading plan.
Funding Rate Signal TableDescription
Funding Rate Signal Table computes a rolling “funding rate” value (simulated here as (close–open)/close), smooths it, and presents both a compact on-chart table and clear LONG/SHORT entry signals. It helps you spot when funding dynamics may favor long or short positions and visualizes the last signal’s price level.
1. Why This Mashup?
Funding Rate Trend: A smoothed funding rate highlights shifts in trader funding costs—extremely negative rates can signal bullish opportunity, while very positive rates can warn of bearish pressure.
Difference Filter: Optional “difference” check prevents signals on noisy small changes, requiring a meaningful move before confirming.
Table & Labels: Side-by-side display of current funding rate, prior value, absolute change and text signal makes interpretation immediate. Simultaneous price-level lines reinforce real-time trade reference.
2. Default Parameters & Data Assumptions
Funding Calculation: (close – open) / close * 100, smoothed by a 14-period SMA plus 3-period SMA.
Thresholds:
LONG if funding_rate < –0.01%
SHORT if funding_rate > 0.01%
Optional “difference” threshold of 0.002 (0.2%)
Visuals:
Table positioned top-right with ticker, timeframe, funding values, difference, and signal.
Labels sized Normal by default, drawn just above/below price with optional price text.
Dashed horizontal lines extend 200 bars to mark last LONG/SHORT price.
Note: Because Pine Script cannot natively access actual exchange funding data, this example simulates funding rate. Replace the raw_funding_rate formula with your real funding-feed series for accurate signals.
3. How to Use
Add to Chart → Select “Rolin Long – Funding Rate & Sinyal Tablosu.”
Adjust Settings → Open the indicator’s Inputs:
Period & Smoothing for your instrument’s data frequency.
Thresholds based on historical funding ranges you observe.
Enable “Difference” filter to reduce false triggers.
Toggle Price Levels if you prefer lines marking entry prices.
Interpret Table →
“Funding Rate”: smoothed value for current bar.
“Previous Funding”: last bar’s value.
“Difference”: absolute change.
“Signal”: “LONG ▲ Şartları” or “SHORT ▼ Şartları” when thresholds are met.
Watch for Labels → On a new bar close, a singular LONG or SHORT label appears at the bar where the condition first became true.
Plan Entries/Exits → Use the price-level lines and your own risk rules to size and time trades.
4. Warnings & Disclaimer
This indicator is for educational purposes only. Simulated funding rate may differ from real exchange fees. Always verify with actual funding data, apply your own risk management, and adjust commissions/slippage to your trading environment. Past indicator signals do not guarantee future performance.
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.
