EMA CloudIt's provide the area of value between 2 EMA. Additional 1 EMA long term for determine the market status.
Indicators and strategies
Multi-Timeframe MA DashboardThis indicator monitors 5 timeframes: 5min, 15min, 1hr, 4hr, and Daily. It displays fast and slow moving averages for each timeframe, along with the current price. The trend direction is color-coded: green for bullish (fast MA above slow MA) and red for bearish (fast MA below slow MA).
The dashboard also shows the last crossover signal (Buy/Sell) for each timeframe.
Visual arrows are plotted on the chart for the current timeframe. A green up arrow indicates a potential bullish crossover (Buy signal), while a red down arrow indicates a potential bearish crossover (Sell signal).
The dashboard is elegant and professional, with alternating row colors for better readability. It can be placed in any corner of the screen and customized with user-defined colors for bullish and bearish trends.
Alerts are triggered when a crossover occurs on any timeframe. These alerts include the timeframe and signal type (e.g., "5min: ↑ BUY").
How to Read the Indicator
The dashboard displays the following for each timeframe:
Fast MA: The value of the fast moving average.
Slow MA: The value of the slow moving average.
Price: The current price for the timeframe.
Trend: The current trend direction (Bullish or Bearish).
Signal: The last crossover signal (↑ BUY or ↓ SELL).
On the chart, green up arrows indicate a bullish crossover (Fast MA crosses above Slow MA), while red down arrows indicate a bearish crossover (Fast MA crosses below Slow MA).
Green text in the dashboard indicates a bullish trend or signal, while red text indicates a bearish trend or signal.
How to Use the Indicator
Use the dashboard to monitor the trend direction across multiple timeframes. Look for confluence (agreement) between timeframes to identify stronger trends. Observe the "Signal" column in the dashboard for the last crossover on each timeframe. Use the arrows on the chart to identify potential crossover points for the current timeframe.
Enable alerts to be notified of crossover signals on any timeframe. Alerts include the timeframe and signal type for easy reference.
Adjust the fast and slow moving average lengths to suit your trading style. Choose between EMA, SMA, or WMA for the moving average type. Customize the dashboard placement and colors for better visibility.
Important Notes
This indicator is not a buy or sell recommendation. It is a tool to assist traders in their analysis. Always use this indicator in conjunction with other tools, such as support/resistance levels, volume analysis, and price action. Past performance of moving averages does not guarantee future results.
How to Add the Indicator
Add the indicator to your chart from the TradingView library. Configure the inputs:
Fast MA Length: Default is 20.
Slow MA Length: Default is 50.
MA Type: Choose between EMA, SMA, or WMA.
Dashboard Placement: Select the corner of the screen where the dashboard will appear.
Colors: Customize the colors for bullish and bearish trends.
Monitor the dashboard and chart for trends and signals.
Disclaimer
This indicator is for educational and informational purposes only. It does not provide financial, investment, or trading advice. Always perform your own analysis and consult with a financial advisor before making trading decisions.
Sentiment Master Oscillator[BullByte]
The Sentiment Master Oscillator is a modern market sentiment indicator designed for traders seeking to identify early trend shifts and potential reversals with clarity. This oscillator combines multiple technical tools—RSI, MACD, EMAs, ADX, ATR, and volume filters—to deliver layered signals that help you assess market momentum in a clear and simplified manner.
Key Features:
- Multi-Indicator Approach :
Integrates RSI (with a smoothing function), MACD, and two EMAs to gauge momentum and trend direction. The oscillator also includes ADX and ATR filters to ensure that only markets with sufficient directional strength and volatility generate signals.
- Dynamic Signal Zones :
The oscillator produces a raw value ranging roughly from -3 to +3 (adjustable via a scaling factor). Positive readings suggest bullish conditions, while negative readings indicate bearish trends. Visual zones (Early, Confirmed, Strong) are clearly marked with color-coded horizontal lines to help you interpret the strength of the signal at a glance.
- Adaptive Smoothing :
For those who prefer quicker, more responsive signals (ideal for scalping), an adaptive smoothing option is available. When enabled, it applies a shorter smoothing period to the oscillator; otherwise, a more conservative base period is used.
- Reversal Alerts :
Yellow dots are plotted on the chart to highlight potential reversal points. These alerts are triggered when the oscillator crosses specific thresholds, coupled with volume and ATR conditions, signaling that a top or bottom may be forming.
- Customizable Filters :
- ATR Filter :Ensures that the market's volatility is above a set threshold before signaling.
- ADX Filter :Confirms sufficient trend strength.
- Volume Filter : Requires that trading volume surges above a multiple of its simple moving average, filtering out low-volume noise.
- Clear Signal Messaging :
Based on the combined signals from various indicators, the script categorizes market sentiment into actionable messages such as "Early Buy", "Confirmed Buy", "Strong Buy", "Early Sell", "Confirmed Sell", and "Strong Sell". A "Grey Zone" label is used when the oscillator is near neutral, indicating that no clear trend is present.
How to Use :
1. Entry and Exit Decisions : Use the different signal stages (Early, Confirmed, Strong) as guides for your entries and exits.
2. Trend Confirmation : Rely on the multi-indicator setup for added confirmation of prevailing market conditions before executing trades.
3. Reversal Cues : Pay attention to the reversal dots for potential turning points in the market, which can be used to adjust positions or initiate trades.
Disclaimer:
This indicator is intended for educational and informational purposes only. It should not be taken as financial advice. Always use appropriate risk management and combine it with your analysis before making any trading decisions. Past performance is not indicative of future results.
By adhering to TradingView's publishing guidelines, the BullByte Sentiment Master is designed to provide transparency, simplicity, and robust analysis tools to enhance your trading strategy. Enjoy a clearer view of market sentiment and make more informed trading decisions!
Trendline Breakout Navigator [LuxAlgo]The Trendline Breakout Navigator indicator shows three trendlines, representing trends of different significance between Swing Points.
Dots highlight a Higher Low (HL) or Lower High (LH) that pierces through the Trendline without the closing price breaking the Trendline.
A bar color and background color option is included, which offers insights into the price against the trendlines.
🔶 USAGE
Trendlines (TL) are drawn, starting as a horizontal line from a Swing Point.
When an HL (in the case of a bullish TL) or an LH (bearish TL) is found, this Swing Point is connected to the first Swing Point. In both cases, the TL can be optimized when one or more historical close prices breach the TL (see DETAILS).
A solid-styled long-term trendline represents the overall market direction, while a dashed-styled medium-term trendline captures medium-term movements within the long-term trend. Finally, a dotted-styled short-term trendline tracks short-term fluctuations.
🔹 Swing Points vs. Trend
A "Higher High" (HH) or "Lower Low" (LL) will initialize a new trendline, respectively, starting from the previous "Swing Low" or Swing High".
To spot the trend shift, "HH/LL" labels and an optional background color are included. They can be enabled/disabled or set at "Long, Medium, or Short" term TL (Settings—"MS", "HH/LL" and "Background Color").
These features are linked to one Trendline of choice only.
Where the "HH/LL" labels can show a potential trend shift, the background color is:
Green from the moment the close price breaks above a bearish trendline or when an HH occurs
Red from the moment the close price breaks below a bullish trendline or when an LL occurs
🔹 Bar Color
The bar color will depend on the location of the closing price against the three trendlines. When a trendline is unavailable (for example, if the close price breaks the TL and there is no HH/LL), the last known trendline value will be considered.
All three trendlines influence the bar color.
If the close price is above the "Long Term" TL, the bar color will show a gradient of green, darker when the close price is below the "Medium Term" and/or "Short Term" TLs.
On the other hand, when the close price is below the "Long Term" TL, the bar color will show a gradient of red, which becomes darker when the close price is above the "Medium Term" and/or "Short Term" TLs.
To keep the above example simple, only the "Long Term" TL is considered. The white line (not included in the script) resembles the actual value of the TL at each bar, where you can see the effect on the bar color.
Combined with the trendlines and dots, the bar color can provide extra depth and insights into the underlying trends.
🔹 Tested Trendlines
If a new HL/LH pierces the Trendline without the close price breaking the Trendline, the Trendline will be updated.
The exact location where the price exceeded the Trendline is visualized by a dot, colored blue on a bullish trendline and orange when bearish.
These dots can be indicative of a potential trend continuation or reversal.
🔹 Higher TimeFrame Option
The "Period" setting enables users to visualize higher-timeframe trendlines as long as the line length doesn't exceed 5000 bars.
🔶 DETAILS
When a new trendline is drawn, the script first draws a preliminary line and then checks whether a historical close price exceeded this line above (in the case of a bearish TL) or below (in a bullish case).
Subsequently, the most valid point in between is chosen as the starting point of the Trendline.
🔶 SETTINGS
Period: Choose "chart" for trendlines from the current chart timeframe, or choose a higher timeframe
🔹 Swing Length
Toggle and Swing Length for three trendlines: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 Style
Trendline: color for bullish/bearish Trendline
Wick Dot: color for bullish/bearish trendline test
Term: Long-, medium- or short-term
HH/LL: Show HH/LL labels (with or without previous Swing High/Low) of chosen Term
Background Color: Green when the closing price is above the trendline of choice, red otherwise
Bar Color
Uptrick: Z-Score FlowOverview
Uptrick: Z-Score Flow is a technical indicator that integrates trend-sensitive momentum analysi s with mean-reversion logic derived from Z-Score calculations. Its primary objective is to identify market conditions where price has either stretched too far from its mean (overbought or oversold) or sits at a statistically “normal” range, and then cross-reference this observation with trend direction and RSI-based momentum signals. The result is a more contextual approach to trade entry and exit, emphasizing precision, clarity, and adaptability across varying market regimes.
Introduction
Financial instruments frequently transition between trending modes, where price extends strongly in one direction, and ranging modes, where price oscillates around a central value. A simple statistical measure like Z-Score can highlight price extremes by comparing the current price against its historical mean and standard deviation. However, such extremes alone can be misleading if the broader market structure is trending forcefully. Uptrick: Z-Score Flow aims to solve this gap by combining Z-Score with an exponential moving average (EMA) trend filter and a smoothed RSI momentum check, thus filtering out signals that contradict the prevailing market environment.
Purpose
The purpose of this script is to help traders pinpoint both mean-reversion opportunities and trend-based pullbacks in a way that is statistically grounded yet still mindful of overarching price action. By pairing Z-Score thresholds with supportive conditions, the script reduces the likelihood of acting on random price spikes or dips and instead focuses on movements that are significant within both historical and current contextual frameworks.
Originality and Uniquness
Layered Signal Verification: Signals require the fulfillment of multiple layers (Z-Score extreme, EMA trend bias, and RSI momentum posture) rather than merely breaching a statistical threshold.
RSI Zone Lockout: Once RSI enters an overbought/oversold zone and triggers a signal, the script locks out subsequent signals until RSI recovers above or below those zones, limiting back-to-back triggers.
Controlled Cooldown: A dedicated cooldown mechanic ensures that the script waits a specified number of bars before issuing a new signal in the opposite direction.
Gradient-Based Visualization: Distinct gradient fills between price and the Z-Mean line enhance readability, showing at a glance whether price is trading above or below its statistical average.
Comprehensive Metrics Panel: An optional on-chart table summarizes the Z-Score’s key metrics, streamlining the process of verifying current statistical extremes, mean levels, and momentum directions.
Why these indicators were merged
Z-Score measurements excel at identifying when price deviates from its mean, but they do not intrinsically reveal whether the market’s trajectory supports a reversion or if price might continue along its trend. The EMA, commonly used for spotting trend directions, offers valuable insight into whether price is predominantly ascending or descending. However, relying solely on a trend filter overlooks the intensity of price moves. RSI then adds a dedicated measure of momentum, helping confirm if the market’s energy aligns with a potential reversal (for example, price is statistically low but RSI suggests looming upward momentum). By uniting these three lenses—Z-Score for statistical context, EMA for trend direction, and RSI for momentum force—the script offers a more comprehensive and adaptable system, aiming to avoid false positives caused by focusing on just one aspect of price behavior.
Calculations
The core calculation begins with a simple moving average (SMA) of price over zLen bars, referred to as the basis. Next, the script computes the standard deviation of price over the same window. Dividing the difference between the current price and the basis by this standard deviation produces the Z-Score, indicating how many standard deviations the price is from its mean. A positive Z-Score reveals price is above its average; a negative reading indicates the opposite.
To detect overall market direction, the script calculates an exponential moving average (emaTrend) over emaTrendLen bars. If price is above this EMA, the script deems the market bullish; if below, it’s considered bearish. For momentum confirmation, the script computes a standard RSI over rsiLen bars, then applies a smoothing EMA over rsiEmaLen bars. This smoothed RSI (rsiEma) is monitored for both its absolute level (oversold or overbought) and its slope (the difference between the current and previous value). Finally, slopeIndex determines how many bars back the script compares the basis to check whether the Z-Mean line is generally rising, falling, or flat, which then informs the coloring scheme on the chart.
Calculations and Rational
Simple Moving Average for Baseline: An SMA is used for the core mean because it places equal weight on each bar in the lookback period. This helps maintain a straightforward interpretation of overbought or oversold conditions in the context of a uniform historical average.
Standard Deviation for Volatility: Standard deviation measures the variability of the data around the mean. By dividing price’s difference from the mean by this value, the Z-Score can highlight whether price is unusually stretched given typical volatility.
Exponential Moving Average for Trend: Unlike an SMA, an EMA places more emphasis on recent data, reacting quicker to new price developments. This quicker response helps the script promptly identify trend shifts, which can be crucial for filtering out signals that go against a strong directional move.
RSI for Momentum Confirmation: RSI is an oscillator that gauges price movement strength by comparing average gains to average losses over a set period. By further smoothing this RSI with another EMA, short-lived oscillations become less influential, making signals more robust.
SlopeIndex for Slope-Based Coloring: To clarify whether the market’s central tendency is rising or falling, the script compares the basis now to its level slopeIndex bars ago. A higher current reading indicates an upward slope; a lower reading, a downward slope; and similar readings, a flat slope. This is visually represented on the chart, providing an immediate sense of the directionality.
Inputs
zLen (Z-Score Period)
Specifies how many bars to include for computing the SMA and standard deviation that form the basis of the Z-Score calculation. Larger values produce smoother but slower signals; smaller values catch quick changes but may generate noise.
emaTrendLen (EMA Trend Filter)
Sets the length of the EMA used to detect the market’s primary direction. This is pivotal for distinguishing whether signals should be considered (price aligning with an uptrend or downtrend) or filtered out.
rsiLen (RSI Length)
Defines the window for the initial RSI calculation. This RSI, when combined with the subsequent smoothing EMA, forms the foundation for momentum-based signal confirmations.
rsiEmaLen (EMA of RSI Period)
Applies an exponential moving average over the RSI readings for additional smoothing. This step helps mitigate rapid RSI fluctuations that might otherwise produce whipsaw signals.
zBuyLevel (Z-Score Buy Threshold)
Determines how negative the Z-Score must be for the script to consider a potential oversold signal. If the Z-Score dives below this threshold (and other criteria are met), a buy signal is generated.
zSellLevel (Z-Score Sell Threshold)
Determines how positive the Z-Score must be for a potential overbought signal. If the Z-Score surpasses this threshold (and other checks are satisfied), a sell signal is generated.
cooldownBars (Cooldown (Bars))
Enforces a bar-based delay between opposite signals. Once a buy signal has fired, the script must wait the specified number of bars before registering a new sell signal, and vice versa.
slopeIndex (Slope Sensitivity (Bars))
Specifies how many bars back the script compares the current basis for slope coloration. A bigger slopeIndex highlights larger directional trends, while a smaller number emphasizes shorter-term shifts.
showMeanLine (Show Z-Score Mean Line)
Enables or disables the plotting of the Z-Mean and its slope-based coloring. Traders who prefer minimal chart clutter may turn this off while still retaining signals.
Features
Statistical Core (Z-Score Detection):
This feature computes the Z-Score by taking the difference between the current price and the basis (SMA) and dividing by the standard deviation. In effect, it translates price fluctuations into a standardized measure that reveals how significant a move is relative to the typical variation seen over the lookback. When the Z-Score crosses predefined thresholds (zBuyLevel for oversold and zSellLevel for overbought), it signals that price could be at an extreme.
How It Works: On each bar, the script updates the SMA and standard deviation. The Z-Score is then refreshed accordingly. Traders can interpret particularly large negative or positive Z-Score values as scenarios where price is abnormally low or high.
EMA Trend Filter:
An EMA over emaTrendLen bars is used to classify the market as bullish if the price is above it and bearish if the price is below it. This classification is applied to the Z-Score signals, accepting them only when they align with the broader price direction.
How It Works: If the script detects a Z-Score below zBuyLevel, it further checks if price is actually in a downtrend (below EMA) before issuing a buy signal. This might seem counterintuitive, but a “downtrend” environment plus an oversold reading often signals a potential bounce or a mean-reversion play. Conversely, for sell signals, the script checks if the market is in an uptrend first. If it is, an overbought reading aligns with potential profit-taking.
RSI Momentum Confirmation with Oversold/Overbought Lockout:
RSI is calculated over rsiLen, then smoothed by an EMA over rsiEmaLen. If this smoothed RSI dips below a certain threshold (for example, 30) and then begins to slope upward, the indicator treats it as a potential sign of recovering momentum. Similarly, if RSI climbs above a certain threshold (for instance, 70) and starts to slope downward, that suggests dwindling momentum. Additionally, once RSI is in these zones, the indicator locks out repetitive signals until RSI fully exits and re-enters those extreme territories.
How It Works: Each bar, the script measures whether RSI has dropped below the oversold threshold (like 30) and has a positive slope. If it does, the buy side is considered “unlocked.” For sell signals, RSI must exceed an overbought threshold (70) and slope downward. The combination of threshold and slope helps confirm that a reversal is genuinely in progress instead of issuing signals while momentum remains weak or stuck in extremes.
Cooldown Mechanism:
The script features a custom bar-based cooldown that prevents issuing new signals in the opposite direction immediately after one is triggered. This helps avoid whipsaw situations where the market quickly flips from oversold to overbought or vice versa.
How It Works: When a buy signal fires, the indicator notes the bar index. If the Z-Score and RSI conditions later suggest a sell, the script compares the current bar index to the last buy signal’s bar index. If the difference is within cooldownBars, the signal is disallowed. This ensures a predefined “quiet period” before switching signals.
Slope-Based Coloring (Z-Mean Line and Shadow):
The script compares the current basis value to its value slopeIndex bars ago. A higher reading now indicates a generally upward slope, while a lower reading indicates a downward slope. The script then shades the Z-Mean line in a corresponding bullish or bearish color, or remains neutral if little change is detected.
How It Works: This slope calculation is refreshingly straightforward: basis – basis . If the result is positive, the line is colored bullish; if negative, it is colored bearish; if approximately zero, it remains neutral. This provides a quick visual cue of the medium-term directional bias.
Gradient Overlays:
With gradient fills, the script highlights where price stands in relation to the Z-Mean. When price is above the basis, a purple-shaded region is painted, visually indicating a “bearish zone” for potential overbought conditions. When price is below, a teal-like overlay is used, suggesting a “bullish zone” for potential oversold conditions.
How It Works: Each bar, the script checks if price is above or below the basis. It then applies a fill between close and basis, using distinct colors to show whether the market is trading above or below its mean. This creates an immediate sense of how extended the market might be.
Buy and Sell Labels (with Alerts):
When a legitimate buy or sell condition passes every check (Z-Score threshold, EMA trend alignment, RSI gating, and cooldown clearance), the script plots a corresponding label directly on the chart. It also fires an alert (if alerts are set up), making it convenient for traders who want timely notifications.
How It Works: If rawBuy or rawSell conditions are met (refined by RSI, EMA trend, and cooldown constraints), the script calls the respective plot function to paint an arrow label on the chart. Alerts are triggered simultaneously, carrying easily recognizable messages.
Metrics Table:
The optional on-chart table (activated by showMetrics) presents real-time Z-Score data, including the current Z-Score, its rolling mean, the maximum and minimum Z-Score values observed over the last zLen bars, a percentile position, and a short-term directional note (rising, falling, or flat).
Current – The present Z-Score reading
Mean – Average Z-Score over the zLen period
Min/Max – Lowest and highest Z-Score values within zLen
Position – Where the current Z-Score sits between the min and max (as a percentile)
Trend – Whether the Z-Score is increasing, decreasing, or flat
Conclusion
Uptrick: Z-Score Flow offers a versatile solution for traders who need a statistically informed perspective on price extremes combined with practical checks for overall trend and momentum. By leveraging a well-defined combination of Z-Score, EMA trend classification, RSI-based momentum gating, slope-based visualization, and a cooldown mechanic, the script reduces the occurrence of false or premature signals. Its gradient fills and optional metrics table contribute further clarity, ensuring that users can quickly assess market posture and make more confident trading decisions in real time.
Disclaimer
This script is intended solely for informational and educational purposes. Trading in any financial market comes with substantial risk, and there is no guarantee of success or the avoidance of loss. Historical performance does not ensure future results. Always conduct thorough research and consider professional guidance prior to making any investment or trading decisions.
EMA Shakeout DetectorEMA Shakeout & Reclaim Zones
Description:
This Pine Script helps traders quickly identify potential shakeout entries based on price action and volume dynamics. Shakeouts often signal strong accumulation, where institutions drive the stock below a key moving average before reclaiming it, creating an opportunity for traders to enter at favorable prices.
How It Works:
1. Volume Surge Filtering:
a. Computes the 51-day Simple Moving Average (SMA) of volume.
b. Identifies days where volume surged 2x above the 51-day average.
c. Filters stocks that had at least two such high-volume days in the last 21 trading days (configurable).
2. Stock Selection Criteria:
a. The stock must be within 25% of its 52-week high.
b. It should have rallied at least 30% from its 52-week low.
Shakeout Conditions:
1. The stock must be trading above the 51-day EMA before the shakeout.
2. A sudden price drop of more than 10% occurs, pushing the stock below the 51-day EMA.
3. A key index (e.g., Nifty 50, S&P 500) must be trading above its 10-day EMA, ensuring overall market strength.
Visualization:
Shakeout zones are highlighted in blue, making it easier to spot potential accumulation areas and study price & volume action in more detail.
This script is ideal for traders looking to identify institutional shakeouts and gain an edge by recognizing high-probability reversal setups.
Advanced HFT Detection with VWAP & SpreadsExplanation of the HFT Detection Strategy
🔹 1. Key Indicators Used in the Strategy
It's works by combining VWAP, moving averages (SMA), volume spikes, and price jumps to detect potential HFT activity.
✅ (A) VWAP (Volume Weighted Average Price)
VWAP acts as a benchmark price that professional traders and institutions use to execute large orders.
If price is above VWAP, buyers are in control → Bullish trend
If price is below VWAP, sellers are in control → Bearish trend
HFT algorithms often place buy orders above VWAP and sell orders below VWAP to follow momentum.
➡️ Why VWAP? It ensures that signals follow the institutional trading trend.
✅ (B) Moving Averages (SMA)
Moving averages smooth out price data and help in detecting short-term momentum changes.
Fast Moving Average (5-period SMA): Reacts quickly to price changes
Slow Moving Average (20-period SMA): Identifies trend direction
➡️ Why SMA? It filters noise and confirms short-term trend shifts.
✅ (C) Volume Spike Detection
High-frequency trading is often accompanied by large volume surges. We define a volume spike as:
📌 Current Volume > 2× Average Volume of last 20 bars
➡️ Why Volume? HFTs execute rapid buy/sell orders when they detect liquidity, leading to sudden volume bursts.
✅ (D) Price Jump Detection (Sudden Volatility)
HFT algorithms often exploit quick price movements. We check if the price has moved more than twice the ATR (Average True Range) in the last 5 bars.
➡️ Why ATR? It helps to detect abnormal price movements compared to normal volatility.
🔹 2. Trading Signal Logic
Now that we have VWAP, moving averages, volume, and price movement filters, we generate buy and sell signals based on conditions.
✅ (A) Buy Signal Condition
A BUY signal is triggered when:
✔ Fast SMA crosses above Slow SMA → Short-term trend is turning bullish
✔ Volume spike occurs → HFTs are active
✔ Sudden price jump detected → High volatility
✔ Price is above VWAP → Confirms bullish trend
➡️ Why this works? It confirms that institutional traders & HFTs are buying aggressively.
✅ (B) Sell Signal Condition
A SELL signal is triggered when:
✔ Fast SMA crosses below Slow SMA → Short-term trend is turning bearish
✔ Volume spike occurs → HFTs are selling aggressively
✔ Sudden price drop detected → High volatility
✔ Price is below VWAP → Confirms bearish trend
➡️ Why this works? It confirms that institutional traders & HFTs are selling aggressively.
🔹 3. Visual Representation (Plotting Signals & VWAP)
Once we detect buy and sell signals, we mark them on the chart.
✅ (A) Buy/Sell Markers
🟢 Buy → Green upward arrow below the candle
🔴 Sell → Red downward arrow above the candle
✅ (B) VWAP Line on Chart
We also plot VWAP as a blue line to visualize trend direction.
✅ (C) Highlighting Volume Spikes
To easily spot HFT activity, we highlight volume spike bars with a blue background.
🔹 4. How to Use This Strategy?
1️⃣ Apply this script on a 1-minute or 5-minute intraday chart.
2️⃣ Look for BUY signals above VWAP and SELL signals below VWAP.
3️⃣ Verify that the volume spikes before taking action.
4️⃣ Use stop-loss & risk management (e.g., stop-loss at recent low/high).
🚀 Summary: Why This Strategy Works?
✅ VWAP ensures we follow institutional traders
✅ Volume spikes confirm sudden liquidity inflows
✅ Price jumps detect fast market moves caused by HFT bots
✅ Moving averages smooth out short-term trend shifts
Will%R by SizovOption for combining the Williams Range% indicator of different lengths, for working in trend and counter-trend modes, in TF from 15m to 4H (version 6.2.00)
For the short and long WR% line, I recommend using the Fibonacci numbers: 3, 5, 8, 13, 21, 34, 55, 89, 144
@YuryGST
Pearson Correlation [Mr_Rakun] Pearson Correlation
This script calculates the Pearson correlation coefficient (r) between the closing price of the current asset and another selected asset.
🔍 How It Works:
• The user selects a correlation period (default: 20) and a symbol (default: ETH/USDT).
• The script retrieves the closing prices of both assets.
• The Pearson correlation formula is applied:
r = \frac{n(\sum xy) - (\sum x)(\sum y)}{\sqrt{ }}
• The correlation is plotted as a histogram:
• +1 (green line) → Perfect positive correlation
• -1 (red line) → Perfect negative correlation
• 0 (gray line) → No correlation
📊 Why Use This?
This indicator helps traders identify relationships between assets, such as whether two markets move together or inversely. It is useful for hedging strategies, portfolio diversification, and market comparisons.
Relative Volume Indicator (RVOL)Relative Volume Indicator (RVOL)
The Relative Volume Indicator (RVOL) helps traders identify unusual volume activity by comparing the current volume to the average historical volume. This makes it easier to spot potential breakouts, reversals, or significant market events that are accompanied by volume confirmation.
What This Indicator Shows
This indicator displays volume as a multiple of average volume, where:
- 1.0x means 100% of average volume
- 2.0x means 200% of average volume (twice the average)
- 0.5x means 50% of average volume (half the average)
Color Coding
The volume bars are color-coded based on configurable thresholds:
- Red: Below average volume (< Average Volume Threshold)
- Yellow: Average volume (between Average Volume and Above Average thresholds)
- Green: Above average volume (between Above Average and Extreme thresholds)
- Magenta: Extreme volume (> Extreme Volume Threshold)
Horizontal Reference Lines
Three dotted horizontal reference lines help you visualize the thresholds:
- Lower gray line: Average Volume Threshold (default: 0.8x)
- Upper gray line: Above Average Threshold (default: 1.25x)
- Magenta line: Extreme Volume Threshold (default: 4.0x)
How To Use This Indicator
1. Volume Confirmation: Use green bars to confirm breakouts or trend changes - stronger moves often come with above-average volume.
2. Low Volume Warning: Red bars during price movements may indicate weak conviction and potential reversals.
3. Extreme Volume Events: Magenta bars (extreme volume) often signal major market events or potential exhaustion points that could lead to reversals.
4. Volume Divergence: Look for divergences between price and volume - for example, if price makes new highs but volume is decreasing (more yellow/red bars), the move may be losing strength.
Settings Configuration
- Average Volume Lookback Period: Number of bars used to calculate the average volume (default: 20)
- Average Volume Threshold: Volume below this level is considered below average (default: 0.8x)
- Above Average Threshold: Volume above this level is considered above average (default: 1.25x)
- Extreme Volume Threshold: Volume above this level is considered extreme (default: 4.0x)
- Colors: Customize colors for each volume category
Important Note: Adjust threshold values only through the indicator settings (not in the Style tab). Changing values in the Style tab will not adjust the coloring of the volume bars.
Adjust these settings based on the specific asset being analyzed and your trading timeframe. More volatile assets may require higher thresholds, while less volatile ones might need lower thresholds.
AsianRange&Midnight 2.2### Midnight Setup: Trading Strategy
#### **Bias Definition (Trend Identification)**
- The Daily (D) bias is defined the previous day and validated on the line chart.
- On the Daily chart, identify the nearest V-shaped formation that has broken close to the current price. This formation determines the Daily bias direction.
#### **H4 Bias Analysis (Trend Confirmation)**
- Switch to an H4 chart to refine the analysis.
- Identify a similar V-shaped formation that has broken in the H4 timeframe.
- If the Daily and H4 biases are aligned, the setup is valid.
#### **Entry Strategy (Position Entries)**
- **Bearish Bias (D and H4 identical):**
- Short entry at the high level of the Midnight range.
- **Bullish Bias (D and H4 identical):**
- Long entry at the low level of the Midnight range.
#### **Bias Divergence (Context Adaptation)**
- If the H4 bias is opposite to the Daily bias, this indicates an H4 retracement of the Daily bias.
- Enter a counter-trend trade with reduced risk.
- No TP target beyond 50% of the extension validating the Daily break. It is also not recommended to enter against this divergence beyond 50%.
#### **Divergence Scenarios (Reactions to Divergences)**
- **Daily Bearish Bias, H4 Bullish Bias:**
- Long entry at the Midnight Low.
- **Daily Bullish Bias, H4 Bearish Bias:**
- Short entry at the Midnight High.
#### **Daily Bias Resumption (Trend Alignment)**
- As soon as the H4 bias resumes the Daily bias direction, follow this trend and adjust the position accordingly.
#### **Instructions for Divergent Bias (Managing Divergence)**
- When holding a position with a divergent bias, it is crucial to manage it carefully.
- Exit counter-trend trades as soon as the H4 bias realigns with the Daily bias.
- Limit the duration of counter-trend trades per session and adjust the H4 bias for the next session if needed.
#### **SL/TP Management (Profit Taking and Protection Optimization)**
- **Take Profit (TP):**
- Entry in M15 with a minimum RR of 3.
- TP at 5H NYE, or RR 5, or 15H NYE.
- **Stop Loss (SL):**
- Minimum 15 pips, placed just above the nearest swing to the entry point to protect capital.
- **Red Announcement Days:**
- Either abstain from trading or set a 40-pip SL to limit volatility impact.
- **At 6H/7H NYE:**
- Manage the trade based on its progress: exit, set to BE (Break Even), or keep the SL in place.
- Any SL adjustment outside these rules can only be made if supported by data or backtests.
#### **Risk Management (Capital Protection)**
- Maximum risk of **1% of capital per trade** (allowing for **10 consecutive losses** without significantly affecting capital).
- In case of a loss, **reduce risk by 50% on the next trade** until the loss is recovered.
#### **Efficiency Conditions (When This Setup Works Best)**
- This setup is particularly effective in **strong trends**, where the market has a clear direction.
- It is **less effective in ranging markets**, where prices move within a narrow range without a clear trend.
Setup Midnight : Stratégie de Trading
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
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🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
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📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
Multi-TF Volume & Price Analysis[BullByte]This indicator offers a comprehensive view of market dynamics by combining volume and price analysis across multiple timeframes. It calculates key metrics—such as bullish/bearish volume percentages, relative volume (RVol), cumulative volume delta (CVD), and price change percentages—for each timeframe that you choose (for example, 1, 3, 5, and 15 minutes). Here are the main features in simple terms:
- Multi-Timeframe Analysis:
The tool analyzes volume and price action from four different timeframes simultaneously. This means you get insights from short-term and slightly longer-term trends in one view.
- Volume Breakdown:
It splits the volume into bullish and bearish parts by comparing closing and opening prices. This helps you see how much of the trading volume is driving the market upward versus downward.
- Relative Volume & Spike Detection:
It calculates relative volume (current volume compared to a moving average) and flags any significant volume spikes based on a customizable multiplier. This feature helps identify unusual trading activity.
- Volume Smoothing Option:
For a cleaner signal, you can enable a smoothing option (using an exponential moving average) to reduce noise in the volume data.
- Advanced Summary:
The indicator combines volume data, price changes, and volume spikes to produce an overall market summary for each timeframe—labeling conditions as “Bullish Strong,” “Bullish Moderate,” “Bearish Strong,” “Bearish Moderate,” or “Neutral.”
- Cumulative Overview:
In addition to individual timeframe analysis, it aggregates the data to offer a cumulative view. This includes a collective bullish/bearish percentage, overall CVD, and even a simplified volume level (Low, Normal, or High).
- Customizable Dashboard:
All these metrics are neatly displayed in a dashboard on the chart. You can customize its position and text size. The dashboard uses dynamic, color-coded cells to instantly convey the market sentiment—making it easy to spot trends at a glance.
- VWAP Integration:
Finally, the dashboard includes VWAP information, providing an additional layer of context to the price action.
Overall, this indicator is designed to provide a quick yet thorough snapshot of market conditions, enabling traders to make more informed decisions with a clear visual representation of volume and price activity across different timeframes.
Segnali C/V (Ibrido LinReg + ATR)“Discover the new LinReg + ATR Hybrid Bot: your compass in the markets!
Forget old static strategies: our system integrates the power of Linear Regression with the ATR indicator, detecting buying and selling opportunities in real time based on volatility and trends. Simple to use, quick to make decisions and designed to follow the market with intelligent trailing stops, the Hybrid Bot helps you maximize your entries and protect your profits. Try it now and take your trading to the next level!”
Scalp Momentum1. EMA + Volume Scalping
Setup:
5-minute chart
8 EMA (fast) and 21 EMA (slow)
Volume > 1.5x average volume
Entry:
Buy when price crosses above 8 EMA with surging volume.
Sell when price crosses below 8 EMA with rising volume.
Exit:
Target: 0.5-1% profit (e.g., ₹5-10 for ₹1,000 stock)
Stop-loss: 0.3-0.5% below entry.
Donchian Channel Trend Tracker by KellyLikesCrypto### Overview
This indicator is written in Pine Script® (version 6) and is designed to overlay on a price chart. It combines the classic Donchian Channel—a tool popular among trend-following traders—with additional trend-tracking features. By identifying when the channel’s highs and lows are making new extreme values, the indicator helps signal potential trend shifts. It is especially suited for scalpers using 1-hour charts, as it provides clear, actionable signals for rapid entry and exit decisions.
---
### Key Components & Inputs
1. **User Inputs:**
- **Length:** The period over which the indicator calculates the highest high and the lowest low (default is 27 bars). This value can be adjusted to smooth or tighten the channel based on the trader’s preference.
- **Offset:** A parameter allowing the plotted lines to be shifted left or right on the chart, providing flexibility in aligning the indicator with price action.
2. **Donchian Channel Calculations:**
- **Lower Bound (`lower`):** Calculated using `ta.lowest(length)`, it identifies the lowest low over the defined period.
- **Upper Bound (`upper`):** Determined by `ta.highest(length)`, capturing the highest high during the same period.
- **Basis:** The midline of the channel, computed as the average of the upper and lower bounds. This line can serve as an equilibrium or reference point in the trend analysis.
---
### Visual Representation
- **Plotting the Channels:**
- The **basis** is plotted in a standout orange color (#FF6D00) to make the central trend reference easily visible.
- The **upper** and **lower** bounds are plotted in blue (#2962FF), creating clear boundaries for the price action.
- The area between these two lines is filled with a semi-transparent blue, enhancing the visual context of the channel and helping traders quickly assess whether price is near an extreme or within a normal range.
---
### Trend Identification Logic
Beyond plotting the basic Donchian Channel, the indicator introduces additional logic to track short-term trend changes:
1. **Higher Highs and Higher Lows:**
- **Higher High (`higherHigh`):** This condition checks if the current upper bound is greater than the previous bar’s upper bound, signaling a potential upward push.
- **Higher Low (`higherLow`):** Similarly, it checks if the current lower bound exceeds the previous bar’s lower bound, reinforcing an upward trend if the support level is rising.
2. **Lower Highs and Lower Lows:**
- **Lower High (`lowerHigh`):** This evaluates if the current upper bound is less than that of the previous bar, indicating a possible downward shift.
- **Lower Low (`lowerLow`):** It verifies if the current lower bound is lower than the previous bar’s, further confirming a bearish tendency.
The use of the `nz()` function ensures that on the very first bar—where no previous data exists—the code handles the values gracefully without causing errors.
---
### Visual Markers for Trend Signals
To make trend signals immediately apparent:
- **Markers are Plotted on the Chart:**
- **Green Labels ("HH" and "HL"):** These are placed on the chart when the indicator detects higher highs or higher lows, suggesting bullish momentum.
- **Red Labels ("LH" and "LL"):** These markers are shown when lower highs or lower lows are detected, indicating bearish pressure.
Each label is plotted either above or below the corresponding bar, ensuring that the chart remains uncluttered and that the trend signals are clear.
---
### Scalping Strategy on 1-Hour Charts
This indicator is specifically tailored for scalping strategies on 1-hour charts. Scalping involves capturing small, rapid profits from short-term price movements, and the clear trend signals provided by this tool can help traders pinpoint optimal entry and exit points. Here’s how it integrates into a scalping strategy:
- **Quick Trend Identification:** The green markers (HH and HL) suggest bullish conditions ideal for quick long entries, while the red markers (LH and LL) signal bearish conditions suitable for short entries.
- **Timing and Precision:** On a 1-hour chart, the indicator’s sensitivity to higher highs and lower lows allows traders to make rapid decisions aligned with the prevailing trend.
- **Complementary Analysis:** While the indicator provides fast signals, it is recommended to use it alongside additional tools (like oscillators or volume analysis) and strict risk management practices, ensuring that scalpers can confirm entries and exits efficiently.
By leveraging the indicator’s visual cues within a broader scalping framework, traders can enhance their ability to capture quick moves, thus optimizing their overall strategy on 1-hour timeframes.
---
### Conclusion
The “Donchian Channel Trend Tracker by KellyLikesCrypto” is a powerful tool for visualizing price extremes and trend direction. By combining the classical Donchian Channel with additional trend-tracking markers, it offers traders a clear and immediate way to assess whether the market is gaining bullish momentum or beginning to turn bearish. Its customizable parameters and clear visual signals make it particularly effective for a scalping strategy on 1-hour charts, where rapid decision-making is crucial.
This detailed breakdown should provide a comprehensive understanding of how each component of the indicator works together and how it can be effectively integrated into a short-term scalping strategy.
Breakout Candle Indicatorit decide breakout candles. if you higher time frame view fixed. you can use this indicator on lower time frame
Volume Flow Scalper PRO+ (RSI & EMA Filters)
### 📊 Volume Flow Scalper PRO+ Strategy (with RSI & EMA Filters)
**Overview:**
The *Volume Flow Scalper PRO+* is a dynamic momentum-based strategy that leverages volume flow direction, enhanced with RSI and EMA trend filters, to generate precise scalping signals. This tool is designed for intraday and short-term traders who want to capitalize on high-probability buy and sell zones driven by real-time market sentiment.
---
**Core Components:**
✅ **Volume Flow Analysis**
Measures the net bullish vs. bearish volume based on price movement (up or down candle) and smooths it using your chosen Moving Average type (EMA, SMA, WMA, or VWMA). This forms the core of signal generation.
✅ **RSI Bias Filter (Optional)**
Filters trades based on RSI momentum. Buy signals require RSI to be above a user-defined level (default: 50), while sell signals require it to be below.
✅ **EMA Trend Filter (Optional)**
Ensures entries align with the trend. Buy signals require price to be above the EMA; sell signals require it to be below.
✅ **VWAP Filter (Optional)**
For traders who favor institutional price levels, this option restricts signals to when price is above (buy) or below (sell) the Volume Weighted Average Price.
---
**Signals:**
- 🔼 **Buy Signal**: Triggered when the Volume Flow MA crosses **above** a threshold, with filters confirming bullish conditions.
- 🔽 **Sell Signal**: Triggered when the Volume Flow MA crosses **below** a negative threshold, with filters confirming bearish conditions.
---
**Strategy Features:**
- 📈 **Customizable Take Profit / Stop Loss** levels based on percentage distance from entry.
- 🔍 **Fully Adjustable Settings** including MA types, thresholds, filter usage, and indicator lengths.
- ⚙️ Works on any timeframe and any market (crypto, forex, stocks, etc.).
---
**Best Use Cases:**
- Scalping on lower timeframes (1m, 5m, 15m)
- Filtering high-quality entries with trend confirmation
- Combining with price action or support/resistance zones
ATR - Asymmetric Turbulence Ribbon🧭 Asymmetric Turbulence Ribbon (ATR)
The Asymmetric Turbulence Ribbon (ATR) is an enhanced and reimagined version of the standard Average True Range (ATR) indicator. It visualizes not just raw volatility, but the structure, momentum, and efficiency of volatility through a multi-layered visual approach.
It contains two distinct visual systems:
1. A zero-centered histogram that expresses how current volatility compares to its historical average, with intensity and color showing speed and conviction
2. A braided ribbon made of dual ATR-based moving averages that highlight transitions in volatility behavior—whether volatility is expanding or contracting
The name reflects its purpose: to capture asymmetric, evolving turbulence in market behavior, through structure-aware volatility tracking.
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🔧 Inputs (Fibonacci defaults)
ATR Length
Lookback period for ATR calculation (default: 13)
ATR Base Avg. Length
Moving average period used as the zero baseline for histogram (default: 55)
ATR ROC Lookback
Number of bars to measure rate of change for histogram color mapping (default: 8)
Timeframe Override
Optionally calculate ATR values from a higher or fixed timeframe (e.g., 1D) for macro-volatility overlay
Show Ribbon Fill
Toggles colored fill between ATR EMA and HMA lines
Show ATR MAs
Toggles visibility of ATR EMA and HMA lines
Show Crossover Markers
Shows directional triangle markers where ATR EMA and HMA cross
Show Histogram
Toggles the entire histogram display
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📊 Histogram Component: Volatility Energy Profile
The histogram shows how far the current ATR is from its moving average baseline, centered around zero. This lets you interpret volatility pressure—whether it's expanding, contracting, or preparing to reverse.
To complement this, the indicator also plots the raw ATR line in aqua. This is the actual average true range value—used internally in both the histogram and ribbon calculations. By default, it appears as a slightly thicker line, providing a clear reference point for comparing historical volatility trends and absolute levels.
Use the baseline ATR to:
- Compare real-time volatility to previous peaks or troughs
- Monitor how ATR behaves near histogram flips or ribbon crossovers
- Evaluate volatility phases in absolute terms alongside relative momentum
The ATR line is particularly helpful for users who want to keep tabs on raw volatility values while still benefiting from the enhanced visual storytelling of the histogram and ribbon systems.
Each histogram bar is colored based on the rate of change (ROC) in ATR: The faster ATR rises or falls, the more intense the color. Meanwhile, the opacity of each bar is adjusted by the effort/result ratio of the price candle (body vs. range), showing how much price movement was achieved with conviction.
Color Interpretation:
🔴 Red
Strong volatility expansion
Market entering or deepening into a volatility burst
Seen during breakouts, panic moves, or macro shock events
Often accompanied by large real candle bodies
🟠 Orange
Moderate volatility expansion
Heating up phase, often precedes breakouts
Common in strong trending environments
Signals tightening before acceleration
🟡 Yellow
Mild volatility increase
Transitional state—energy building, not yet exploding
Appears in early trend development or pullbacks
🟢 Green
Mild volatility contraction
ATR cooling off
Seen during consolidation, reversion, or range balance
Good time to assess upcoming directional setups
🔵 Aqua
Moderate compression
Volatility is clearly declining
Signals consolidation within larger structure
Pre-breakout zones often form here
🔵 Deep Blue
Strong volatility compression
Market is coiling or dormant
Can signal upcoming squeeze or fade environment
Often followed by sharp expansion
Opacity scaling:
Brighter bars = efficient, directional price action (strong bodies)
Faded bars = indecision, chop, absorption, or wick-heavy structure
Together, color and opacity give a 2D view of market volatility: Hue = the type and direction of volatility
Opacity = the quality and structure behind it
Use this to gauge whether volatility is rising with conviction, fading into neutrality, or compressing toward breakout potential.
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🪡 Ribbon Component: Volatility Rhythm Structure
The ribbon overlays two moving averages of ATR:
EMA (yellow) – faster, more reactive
HMA (orange) – smoother, more rhythmic
Their relationship creates the ribbon logic:
Yellow fill (EMA > HMA)
Short-term volatility is increasing faster than the longer-term rhythm
Signals active expansion and engagement
Orange fill (HMA > EMA)
Volatility is decaying or leveling off
Suggests possible exhaustion, pullback, or range
Crossover triangle markers (optional, off by default to avoid clutter) identify the moment of shift in volatility phase.
The ribbon reflects the shape of volatility over time—ideal for mapping cyclical energy shifts, transitional states, and alignment between current and average volatility.
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📐 Strategy Application
Use the Asymmetric Turbulence Ribbon to:
- Detect volatility expansions before breakouts or directional runs
- Spot compression zones that precede structural ruptures
- Visually separate efficient moves from noisy market activity
- Confirm or fade trade setups based on underlying energy state
- Track the volatility environment across multiple timeframes using the override
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🎯 Ideal Timeframes
Designed to function across all timeframes, but particularly powerful on intraday to daily ranges (1H to 1D)
Use the timeframe override to anchor your chart in higher-timeframe volatility context, like daily ATR behavior influencing a 1H setup.
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🧬 Customization Tips
- Increase ATR ROC Lookback for smoother color transitions
- Extend ATR Base Avg Length for more macro-driven histogram centering
- Disable the histogram for ribbon-only rhythm view
- Use opacity and color shifts in the histogram to detect stealth energy builds
- Align ATR phases with structure or order flow tools for high-quality setups
Malama's market chop"Malama's Market Chop" (MMC) is a TradingView indicator designed to help traders identify choppy, sideways market conditions where price movement lacks a clear trend. It solves a common problem for traders: avoiding false signals or unprofitable trades during periods of indecision in the market. By measuring market "choppiness" and visually highlighting these zones, MMC empowers users to either steer clear of trades or adjust their strategies (e.g., switching to range-bound tactics) when trends are weak.
How It Works
MMC is built around the Choppiness Index, a mathematical formula that quantifies how much a market is consolidating versus trending. Here’s the simple breakdown:
It looks at the price range (highs and lows) over a user-defined period (default: 14 bars).
It compares the sum of individual bar ranges to the total range across that period, then applies a logarithmic calculation to produce a value between 0 and 100.
A higher value (e.g., above 61.8 by default) indicates a choppy, non-trending market, while a lower value suggests a trending market.
The indicator then uses this data to:
Color the chart background yellow during choppy conditions.
Place a small blue triangle below bars when choppiness is detected.
Show the exact Choppiness Index value as a label on the latest bar for real-time monitoring.
How to Use It
Adding to TradingView: Open TradingView, click the "Indicators" button at the top, search for "Malama's Market Chop" (or paste the script into a new Pine Script editor and save it), and add it to your chart.
Configuring Settings:
Choppiness Period (default: 14): Adjust this to change how many bars the indicator analyzes. Shorter periods (e.g., 10) react faster but may be noisier; longer periods (e.g., 20) smooth the signal.
Choppiness Threshold (default: 61.8): This is the cutoff for what’s considered "choppy." Raise it (e.g., 70) for stricter chop detection or lower it (e.g., 50) to catch milder consolidation.
Interpreting Signals:
Yellow Background: The market is choppy—price is likely bouncing around without direction. Beginners might sit out or use range-trading strategies (e.g., buy low, sell high within the range).
Blue Triangle: A quick visual cue that choppiness is active on that bar.
ChopIndex Label: Check the number. Above the threshold (e.g., 61.8) means choppy; below suggests a trend might be forming.
Tips:
Beginners: Pair MMC with a simple trend indicator (like a moving average) to confirm when to avoid trades during yellow zones.
Pros: Experiment with the threshold on different timeframes (e.g., 5-minute vs. daily) or assets (stocks, forex, crypto) to fine-tune for your trading style.
Originality
What makes MMC stand out is its blend of clarity and practicality. While the Choppiness Index isn’t new, MMC enhances it with:
Visual Simplicity: The yellow background and blue triangles make choppy conditions instantly recognizable, even for beginners, without cluttering the chart.
Real-Time Feedback: The live ChopIndex label keeps you informed without needing to dig into settings or calculations.
Customization: Adjustable period and threshold settings let traders tailor it to their specific needs, unlike many static chop indicators.
This combination transforms a classic concept into a user-friendly, actionable tool that bridges the gap between novice intuition and professional precision.
Sigma Expected Movement)Okay, here's a brief description of what the final Pine Script code achieves:
Indicator Description:
This indicator calculates and plots expected price movement ranges based on the VIX index for daily, weekly, or monthly periods. It uses user-selectable VIX data (Today's Open / Previous Close) and a center price source (Today's Open / Previous Close).
Key features include:
Up to three customizable deviation levels, based on user-defined percentages of the calculated expected move.
Configurable visibility, color, opacity (default 50%), line style, and width (default 1) for each deviation level.
Optional filled area boxes between the 1st and 2nd deviation levels (enabled by default), with customizable fill color/opacity.
An optional center price line with configurable visibility (disabled by default), color, opacity, style, and width.
All drawings appear only within a user-defined time window (e.g., specific market hours).
Does not display price labels on the lines.
Optional rounding of calculated price levels.
Multiple VWMATradingView Indicator: Multiple VWMA
This TradingView indicator allows you to display up to five separate Volume Weighted Moving Averages (VWMAs) directly on your price chart.
What it does:
Plots 5 VWMAs: It calculates and draws five distinct VWMA lines (or other styles) on the chart.
Volume Weighting: Unlike simple moving averages, a VWMA gives more weight to prices where trading volume was higher, potentially offering a clearer picture of the trend strength confirmed by volume.
Highly Customizable: Each of the five VWMAs can be configured independently through the indicator's settings panel. For each one, you can set:
Length: The lookback period (number of bars) used for the calculation.
Source: The price data to use (e.g., close, open, high, low, hl2, etc.).
Timeframe: You can calculate each VWMA based on a different timeframe than the one currently displayed on your chart (e.g., view daily VWMAs on an hourly chart). Leave blank to use the chart's timeframe.
Offset: Shift the VWMA line forwards or backwards on the chart by a specific number of bars.
Style: Choose how each VWMA is displayed (Line, Histogram, or Cross).
Overlay: The VWMAs are plotted directly over the price bars for easy comparison.
Purpose:
This indicator is useful for traders who want to analyze trends using multiple volume-weighted perspectives simultaneously. By comparing VWMAs of different lengths or based on different timeframes, you can gain insights into short-term vs. long-term trends, potential support/resistance levels, and the significance of price movements based on accompanying volume.
Multi-timeframe Trend & Momentum DashboardMulti-Timeframe Trend & Momentum Dashboard
This indicator is a comprehensive multi-timeframe analysis tool designed for traders who want to quickly assess market trends and momentum across several timeframes. It combines trend detection with duration tracking and displays key information in an easy-to-read on-chart table. Key features include:
Multi-Timeframe Analysis:
Analyzes nine different timeframes (from 1-minute up to 1-week) simultaneously, helping you gauge the overall market trend at a glance.
Trend Detection & Duration:
Uses a combination of a short-term EMA and a long-term SMA to determine whether the market is bullish, bearish, or neutral. It also tracks how long the current trend has persisted in terms of consecutive bars and displays this duration next to each timeframe.
RSI Display & Visual Alerts:
Calculates the RSI for each timeframe. RSI values are color-coded—green when above 50 (indicating bullish momentum) and red when below 50 (indicating bearish conditions). Additionally, if the market is bearish on a particular timeframe while the RSI is above 50, the RSI cell flashes yellow to alert you of a potential trend reversal or divergence.
On-Chart Trend Start Markers:
When a new trend is detected on your current chart’s timeframe, the indicator automatically marks the bar with a label showing the new trend direction, providing a clear visual cue for trend changes.
This powerful tool is perfect for traders looking to combine multi-timeframe trend analysis with momentum indicators, enabling a more informed and dynamic trading strategy. Whether you’re a day trader or swing trader, the Multi-Timeframe Trend & Momentum Dashboard brings clarity to market conditions across multiple time horizons.