Filtered Stochastic MA🔴 Filtered Stochastic MA (FSM) 🔴
Filtered Stochastic MA (FSM) is an all‑in‑one overlay that combines an adaptive moving average, momentum analysis, and dual volatility bands to give you clear, actionable levels on any chart.
🔧 Core Components
Center MA with “Custom” Filters
Choose from familiar SMAs, EMAs, WMAs, HMAs, RMAs … or select “Custom 1” and “Custom 2” for two proprietary smoothing methods that react gracefully in both trends and chop.
Tune the length to match your style—from fast scalp MAs (10–20) to smoother swing MAs (50+).
Hidden Stochastic Momentum
A built‑in %K/%D oscillator runs quietly under the hood, helping the bands adapt to shifting momentum without cluttering your chart.
Dual SuperTrend‑Style Bands
Band 1 (standard multipliers) hugs the Center MA to mark early support/resistance.
Band 2 (double multipliers) creates a wider envelope for breakout thresholds and over‑extension signals.
Both fade or highlight based on market direction for instant visual cues.
⚙️ Key Settings
Setting Description
MA Type & Length Pick your smoothing style and period.
Stochastic Length Controls momentum sensitivity.
Band Multipliers ATR & StdDev factors for Band 1 (and ×2 for Band 2).
Color Controls Customize colors and opacity for each band and the MA.
Non‑Repainting Lock signals to the previous bar for extra safety.
📈 How to Trade with FSM
1. Trend‑Following Entries
Long when price pulls back toward Support Band 1 in an uptrend (price > Center MA and Support Band 1 is rising).
Short when price rallies into Resistance Band 1 in a downtrend (price < Center MA and Resistance Band 1 is falling).
Example: On a 15 min chart of EUR/USD, set MA = 20 EMA, ATR = 1, StdDev = 1. When price dips to the green Band 1 and then closes back above it, risk a long with stop just below the band.
2. Breakout & Exhaustion Plays
A decisive close above Resistance Band 2 signals a strong breakout. Look to ride the impulse or wait for a retest of Band 2 as support.
Conversely, a break below Support Band 2 can mark trend exhaustion or a reversal opportunity.
Example: On a 1 hour BTCUSD chart with MA = 50 (Custom 1), watch for candle closes beyond the outer fuchsia band—enter on a successful retest for better risk/reward.
3. Mean‑Reversion Scalp Setups
In range or low‑volatility conditions, price swings outside Band 1 often snap back toward the Center MA. Fade these extremes on fast timeframes (1–5 min).
Example: On a 5 min Apple stock chart, when the price spikes above Resistance Band 1 and fails to hold, short toward the Center MA for a quick scalp.
4. Momentum Confirmation
Use the hidden stochastic readings (via the Data Window or your own alerts) to confirm entries:
Favor long setups when momentum is rising.
Avoid shorts when momentum remains strong above 50, even if bands are touched.
FSM brings together smoothing, momentum, and volatility in a single, clean overlay. Adjust the “Custom” filters and band widths to match your market and timeframe, and use the examples above as a starting point to build your own high‑probability setups.
Add “Filtered Stochastic MA (FSM)” to your TradingView chart today and turn noisy data into precision entry and exit zones!
Caution:
This is an educational idea, past performance or what you see on a chart may not be repeatable behavior. Trade at your own risk.
Regards!
Trend Analysis
Bullish & Bearish Engulfing ProHello Traders!
Overview
The Bullish & Bearish Engulfing Pro indicator is a powerful pattern recognition tool that identifies key reversal points and trend continuation opportunities. These engulfing patterns often mark the beginning of a significant price move and are widely used in technical analysis. For example, in an uptrend, a Bullish Engulfing pattern can provide an ideal pullback entry signal.
This indicator combines traditional candlestick theory with advanced technical filters like trend direction and volatility analysis to offer traders precise, high-confidence signals.
Key Features :
Accurate pattern detection:
Uses refined algorithms to detect true Bullish and Bearish Engulfing patterns, filtering out noise and false positives.
Trend filter:
Customizable Simple Moving Average (SMA) ensures trades are aligned with the market’s broader trend, improving trade success rates.
Volatility awareness:
ATR-based filtering ensures that only statistically significant engulfing patterns are highlighted.
Visual clarity:
Bullish and Bearish Engulfing patterns are displayed with distinct, customizable colors and labels for instant recognition.
Flexible customization:
Users can adjust detection criteria, SMA settings, and visual options to suit their personal strategy.
Filtered signal display:
Option to visualize filtered-out signals to better understand how the logic makes its decisions.
Bullish Engulfing Pattern
Appears after a downtrend or during a pullback in an uptrend
Consists of two candles
A smaller bearish candle
Followed by a larger bullish candle that completely engulfs the previous body
Bearish Engulfing Pattern
Appears after an uptrend or during a pullback in a downtrend
Consists of two candles
A smaller bullish candle
Followed by a larger bearish candle that completely engulfs the previous body
Key differences in this implementation
What makes this indicator unique
Trend and volatility filters
Ensure patterns occur in meaningful market conditions
Comprehensive pattern analysis:
Factors in candle body ratios, wick sizes, and relative size to past candles for smarter detection
Adaptive to market conditions:
Dynamic thresholds based on ATR allow pattern recognition to adjust to different volatility regimes
Educational value:
Visualizing rejected patterns helps traders build intuition and refine their discretion
How to Trade with this Indicator
Engulfing patterns can signal strong reversals or pullback continuations. Use them with trend and volume confirmation to maximize their effectiveness.
snapshot
Bullish Opportunities:
Look for Bullish Engulfing patterns (aqua-colored candles and labels) during or after a pullback in an uptrend.
Bearish Opportunities:
Watch for Bearish Engulfing patterns (orange-colored candles and labels) during or after a rally in a downtrend.
Entry: Enter on the next bar open after the engulfing candle completes.
Stop loss: 2 ticks below/above the engulfing candle’s low/high.
Take profit: Aim for at least a 2R target, a swing high/low or manage the tradewith a trailing stop.
Trend Alignment:
For higher win probability, take trades only in the direction of the SMA-defined trend.
Note: To ensure the candle coloring appears correctly, place the indicator at the top of the object tree.
TASC 2025.05 Trading The Channel█ OVERVIEW
This script implements channel-based trading strategies based on the concepts explained by Perry J. Kaufman in the article "A Test Of Three Approaches: Trading The Channel" from the May 2025 edition of TASC's Traders' Tips . The script explores three distinct trading methods for equities and futures using information from a linear regression channel. Each rule set corresponds to different market behaviors, offering flexibility for trend-following, breakout, and mean-reversion trading styles.
█ CONCEPTS
Linear regression
Linear regression is a model that estimates the relationship between a dependent variable and one or more independent variables by fitting a straight line to the observed data. In the context of financial time series, traders often use linear regression to estimate trends in price movements over time.
The slope of the linear regression line indicates the strength and direction of the price trend. For example, a larger positive slope indicates a stronger upward trend, and a larger negative slope indicates the opposite. Traders can look for shifts in the direction of a linear regression slope to identify potential trend trading signals, and they can analyze the magnitude of the slope to support trading decisions.
One caveat to linear regression is that most financial time series data does not follow a straight line, meaning a regression line cannot perfectly describe the relationships between values. Prices typically fluctuate around a regression line to some degree. As such, analysts often project ranges above and below regression lines, creating channels to model the expected extent of the data's variability. This strategy constructs a channel based on the method used in Kaufman's article. It measures the maximum distances from points on the linear regression line to historical price values, then adds those distances and the current slope to the regression points.
Depending on the trading style, traders might look for prices to move outside an established channel for breakout signals, or they might look for price action to reach extremes within the channel for potential mean reversion opportunities.
█ STRATEGY CALCULATIONS
Primary trade rules
This strategy implements three distinct sets of rules for trend, breakout, and mean-reversion trades based on the methods Kaufman describes in his article:
Trade the trend (Rule 1) : Open new positions when the sign of the slope changes, indicating a potential trend reversal. Close short trades and enter a long trade when the slope changes from negative to positive, and do the opposite when the slope changes from positive to negative.
Trade channel breakouts (Rule 2) : Open new positions when prices cross outside the linear regression channel for the current sample. Close short trades and enter a long trade when the price moves above the channel, and do the opposite when the price moves below the channel.
Trade within the channel (Rule 3) : Open new positions based on price values within the channel's range. Close short trades and enter a long trade when the price is near the channel's low, within a specified percentage of the channel's range, and do the opposite when the price is near the channel's high. With this rule, users can also filter the trades based on the channel's slope. When the filter is active, long positions are allowed only when the slope is positive, and short positions are allowed only when it is negative.
Position sizing
Kaufman's strategy uses specific trade sizes for equities and futures markets:
For an equities symbol, the number of shares traded is $10,000 divided by the current price.
For a futures symbol, the number of contracts traded is based on a volatility-adjusted formula that divides $25,000 by the product of the 20-bar average true range and the instrument's point value.
By default, this script automatically uses these sizes for its trade simulation on equities and futures symbols and does not simulate trading on other symbols. However, users can control position sizes from the "Settings/Properties" tab and enable trade simulation on other symbol types by selecting the "Manual" option in the script's "Position sizing" input.
Stop-loss
This strategy includes the option to place an accompanying stop-loss order for each trade, which users can enable from the "SL %" input in the "Settings/Inputs" tab. When enabled, the strategy places a stop-loss order at a specified percentage distance from the closing price where the entry order occurs, allowing users to compare how the strategy performs with added loss protection.
█ USAGE
This strategy adapts its display logic for the three trading approaches based on the rule selected in the "Trade rule" input:
For all rules, the script plots the linear regression slope in a separate pane. The plot is color-coded to indicate whether the current slope is positive or negative.
When the selected rule is "Trade the trend", the script plots triangles in the separate pane to indicate when the slope's direction changes from positive to negative or vice versa. Additionally, it plots a color-coded SMA on the main chart pane, allowing visual comparison of the slope to directional changes in a moving average.
When the rule is "Trade channel breakouts" or "Trade within the channel", the script draws the current period's linear regression channel on the main chart pane, and it plots bands representing the history of the channel values from the specified start time onward.
When the rule is "Trade within the channel", the script plots overbought and oversold zones between the bands based on a user-specified percentage of the channel range to indicate the value ranges where new trades are allowed.
Users can customize the strategy's calculations with the following additional inputs in the "Settings/Inputs" tab:
Start date : Sets the date and time when the strategy begins simulating trades. The script marks the specified point on the chart with a gray vertical line. The plots for rules 2 and 3 display the bands and trading zones from this point onward.
Period : Specifies the number of bars in the linear regression channel calculation. The default is 40.
Linreg source : Specifies the source series from which to calculate the linear regression values. The default is "close".
Range source : Specifies whether the script uses the distances from the linear regression line to closing prices or high and low prices to determine the channel's upper and lower ranges for rules 2 and 3. The default is "close".
Zone % : The percentage of the channel's overall range to use for trading zones with rule 3. The default is 20, meaning the width of the upper and lower zones is 20% of the range.
SL% : If the checkbox is selected, the strategy adds a stop-loss to each trade at the specified percentage distance away from the closing price where the entry order occurs. The checkbox is deselected by default, and the default percentage value is 5.
Position sizing : Determines whether the strategy uses Kaufman's predefined trade sizes ("Auto") or allows user-defined sizes from the "Settings/Properties" tab ("Manual"). The default is "Auto".
Long trades only : If selected, the strategy does not allow short positions. It is deselected by default.
Trend filter : If selected, the strategy filters positions for rule 3 based on the linear regression slope, allowing long positions only when the slope is positive and short positions only when the slope is negative. It is deselected by default.
NOTE: Because of this strategy's trading rules, the simulated results for a specific symbol or channel configuration might have significantly fewer than 100 trades. For meaningful results, we recommend adjusting the start date and other parameters to achieve a reasonable number of closed trades for analysis.
Additionally, this strategy does not specify commission and slippage amounts by default, because these values can vary across market types. Therefore, we recommend setting realistic values for these properties in the "Cost simulation" section of the "Settings/Properties" tab.
Break Close High/Low ExtendedBreak Close High/Low Extended
This indicator highlights momentum breakout candles by marking when the candle's close breaks above the previous high (bullish) or below the previous low (bearish). It's designed to help traders quickly identify strong directional intent and potential continuation zones.
🔍 Key Features:
Bullish break candles: Close above the previous candle's high
Bearish break candles: Close below the previous candle's low
Custom bar coloring to visually emphasize breakout candles
Toggleable shapes to mark break candles
Optional shaded boxes that extend a customizable number of bars to the right
Breakout levels displayed as horizontal lines from candle highs/lows
Special highlight for two consecutive breakout candles, capturing extended momentum and volatility
Fully customizable: color pickers, transparency, and extension length
⚙️ Ideal For:
Trend continuation setups
Momentum trading
Breakout confirmation
Scalping and intraday analysis
Wavelet Smoothed Moving Average (TechnoBlooms)Wavelet Smoothed Moving Average (WSMA) is a part of the Quantum Price Theory (QPT) Series of indicators.
Overview:
The Wavelet Smoothed Moving Average (WSMA) is a trend-following indicator inspired by multi-level Haar Wavelet decomposition. Rather than using traditional wavelet basis functions, it emulates the core wavelet concept of multi-resolution analysis using nested simple moving averages (SMA).
How It Works:
WSMA applies three levels of smoothing:
• Level 1: SMA on price (base smoothing)
• Level 2: SMA on Level 1 output (further denoising)
• Level 3: SMA on Level 2 output (final approximation)
Why Use WSMA:
• Multi-Level Smoothing: Captures price structure across multiple time scales, unlike single-length MAs.
• Noise Reduction: Filters out short-term volatility and focuses on the underlying trend.
• Low Lag, High Clarity: Unlike traditional moving averages that react slowly or miss subtle shifts, WSMA’s layered smoothing delivers cleaner and more adaptive trend detection.
Unique Value:
• Wavelet-Inspired Design: Mimics core wavelet decomposition logic without the complexity of downsampling or basis functions.
• Perfect for Trend Confirmation: The final line (a3) can act as a trend filter, while the detail levels can help identify momentum shifts and volatility bursts.
• Fits Into Quantum Price Theory: As part of the QPT framework, WSMA bridges scientific theory with trading application, giving traders a deeper understanding of market structure and signal compression.
Bijnor Pivot ExtendedOverview: The Bijnor Pivot Extended (BP+) indicator is a powerful visual tool designed to help traders identify key price levels using Fibonacci-based pivots. It dynamically plots Support and Resistance levels based on your chosen timeframe (Daily, Weekly, or Monthly) and displays them only for the current session, reducing chart clutter and improving focus.
🔧 Features:
📆 Pivot Timeframe Selection: Choose between Daily, Weekly, or Monthly pivots.
🎯 Fibonacci Pivot Levels:
Central Pivot (P)
Resistance: R1, R2, R3, R4 (Extended)
Support: S1, S2, S3, S4 (Extended)
🎨 Full Customization:
Toggle labels and prices on/off
Position labels to the left or right
Change line width and individual colors for pivot, support, and resistance lines
🧠 Smart Line Plotting:
Lines are drawn only during the selected session, keeping your chart clean
🕹️ Max Performance: Optimized to stay lightweight with max_lines_count and max_labels_count set to 500
🧭 How to Use It:
Use this indicator to:
Plan entries and exits around key Fibonacci pivot zones
Identify overbought/oversold zones at R3/R4 and S3/S4
Enhance your intraday, swing, or positional trading setups
Combine with price action, candlestick patterns, or volume for maximum edge.
✅ Bonus:
This script is ideal for traders looking for a minimalist yet powerful pivot framework, with extended levels for breakout or reversal scenarios.
Weighted Ichimoku StrategyLSE:HSBA
The Ichimoku Kinko Hyo indicator is a comprehensive tool that combines multiple signals to identify market trends and potential buying/selling opportunities. My weighted variant of this strategy attempts to assign specific weights to each signal, allowing for a more nuanced and customizable approach to trend identification. The intent is to try and make a more informed trading decision based on the cumulative strength of various signals.
I've tried not to make it a mishmash of this and that + MACD + RSI and on and on; most people have their preferred indicator that focuses on just that that they can use in conjunction.
The signals used can be grouped into two groups the 'Core Ichimoku Signals' & the 'Additional Signals' (at the end you will find the signals and their assigned weights followed by the thresholds where they align).
The Core Ichimoku Signals are the primary signals used in Ichimoku analysis, including Kumo Breakout, Chikou Cross, Kijun Cross, Tenkan Cross, and Kumo Twist.
While the Additional Signals provide further insights and confirmations, such as Kijun Confirmation, Tenkan-Kijun Above Cloud, Chikou Above Cloud, Price-Kijun Cross, Chikou Span Signal, and Price Positioning.
Entries are triggered when the cumulative weight of bullish signals exceeds a specified buy threshold, indicating a strong uptrend or potential trend reversal.
Exits are initiated when the cumulative weight of bearish signals surpasses a specified sell threshold, or when additional conditions such as consolidation patterns or ATR-based targets are met.
There are various exit types that you can choose between, which can be used separately or in conjunction with one another. As an example you might want to exit on a different condition during consolidation periods than during other periods or just use ATR with some other backstop.
They are listed in evaluation order i.e. ATR trumps all, Consolidation exit trumps the regular Kumo sell and so on:
**ATR Sell**: Exits trades based on ATR-based profit targets and stop-losses.
**Consolidation Exit**: Exits trades during consolidation periods to reduce drawdown.
**Sell Below Kumo**: Exits trades when the price is below the Kumo, indicating a potential downtrend.
**Sell Threshold**: Exits trades when the cumulative weight of bearish signals surpasses a specified sell threshold.
There are various 'filters' which are really behavior modifiers:
**Kumo Breakout Filter**: Requires price to close above the Kumo for buy signals (essentially a entry delay).
**Whipsaw Filter**: Ensures trend strength over specified days to reduce false signals.
**Buy Cooldown**: Prevents new entries until half the Kijun period passes after an exit (prevents flapping).
**Chikou Filter**: Delays exits unless the previous close is below the Chikou Span.
**Consolidation Trend Filter**: Prevents consolidation exits if the trend is bullish (rare, but happens).
Then there are some debugging options. Ichimoku periods have some presets (personally I like 8/22/44/22) but are freely configurable, preset to the traditional values for purists.
The list of signals and most thresholds follow, play around with them. Thats all.
Cheers,
**Core Ichimoku Signals**
**Kumo Breakout**
- 30 (Bullish) / -30 (Bearish)
- Indicates a strong trend when the price breaks above (bullish) or below (bearish) the Kumo (cloud). This signal suggests a significant shift in market sentiment.
**Chikou Cross**
- 20 (Bullish) / -20 (Bearish)
- Shows the relationship between the Chikou Span (lagging span) and the current price. A bullish signal occurs when the Chikou Span is above the price, indicating a potential uptrend. Conversely, a bearish signal occurs when the Chikou Span is below the price, suggesting a downtrend.
**Kijun Cross**
- 15 (Bullish) / -15 (Bearish)
- Signals trend changes when the Tenkan-sen (conversion line) crosses above (bullish) or below (bearish) the Kijun-sen (base line). This crossover is often used to identify potential trend reversals.
**Tenkan Cross**
- 10 (Bullish) / -10 (Bearish)
- Indicates short-term trend changes when the price crosses above (bullish) or below (bearish) the Tenkan-sen. This signal helps identify minor trend shifts within the broader trend.
**Kumo Twist**
- 5 (Bullish) / -5 (Bearish)
- Shows changes in the Kumo's direction, indicating potential trend shifts. A bullish Kumo Twist occurs when Senkou Span A crosses above Senkou Span B, and a bearish twist occurs when Senkou Span A crosses below Senkou Span B.
**Additional Signals**
**Kijun Confirmation**
- 8 (Bullish) / -8 (Bearish)
- Confirms the trend based on the price's position relative to the Kijun-sen. A bullish signal occurs when the price is above the Kijun-sen, and a bearish signal occurs when the price is below it.
**Tenkan-Kijun Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Indicates a strong bullish trend when both the Tenkan-sen and Kijun-sen are above the Kumo. Conversely, a bearish signal occurs when both lines are below the Kumo.
**Chikou Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Shows the Chikou Span's position relative to the Kumo, indicating trend strength. A bullish signal occurs when the Chikou Span is above the Kumo, and a bearish signal occurs when it is below.
**Price-Kijun Cross**
- 2 (Bullish) / -2 (Bearish)
- Signals short-term trend changes when the price crosses above (bullish) or below (bearish) the Kijun-sen. This signal is similar to the Kijun Cross but focuses on the price's direct interaction with the Kijun-sen.
**Chikou Span Signal**
- 10 (Bullish) / -10 (Bearish)
- Indicates the trend based on the Chikou Span's position relative to past price highs and lows. A bullish signal occurs when the Chikou Span is above the highest high of the past period, and a bearish signal occurs when it is below the lowest low.
**Price Positioning**
- 10 (Bullish) / -10 (Bearish)
- Shows indecision when the price is between the Tenkan-sen and Kijun-sen, indicating a potential consolidation phase. A bullish signal occurs when the price is above both lines, and a bearish signal occurs when the price is below both lines.
**Confidence Level**: Highly Sensitive
- **Buy Threshold**: 50
- **Sell Threshold**: -50
- **Notes / Significance**: ~2–3 signals, very early trend detection. High sensitivity, may capture noise and false signals.
**Confidence Level**: Entry-Level
- **Buy Threshold**: 58
- **Sell Threshold**: -58
- **Notes / Significance**: ~3–4 signals, often Chikou Cross or Kumo Breakout. Very sensitive, risks noise (e.g., false buys in choppy markets).
**Confidence Level**: Entry-Level
- **Buy Threshold**: 60
- **Sell Threshold**: -60
- **Notes / Significance**: ~3–4 signals, Kumo Breakout or Chikou Cross anchors. Entry point for early trends.
**Confidence Level**: Moderate
- **Buy Threshold**: 65
- **Sell Threshold**: -65
- **Notes / Significance**: ~4–5 signals, balances sensitivity and reliability. Suitable for moderate risk tolerance.
**Confidence Level**: Conservative
- **Buy Threshold**: 70
- **Sell Threshold**: -70
- **Notes / Significance**: ~4–5 signals, emphasizes stronger confirmations. Reduces false signals but may miss some opportunities.
**Confidence Level**: Very Conservative
- **Buy Threshold**: 75
- **Sell Threshold**: -75
- **Notes / Significance**: ~5–6 signals, prioritizes high confidence. Minimizes risk but may enter trades late.
**Confidence Level**: High Confidence
- **Buy Threshold**: 80
- **Sell Threshold**: -80
- **Notes / Significance**: ~6–7 signals, very strong confirmations needed. Suitable for cautious traders.
**Confidence Level**: Very High Confidence
- **Buy Threshold**: 85
- **Sell Threshold**: -85
- **Notes / Significance**: ~7–8 signals, extremely high confidence required. Minimizes false signals significantly.
**Confidence Level**: Maximum Confidence
- **Buy Threshold**: 90
- **Sell Threshold**: -90
- **Notes / Significance**: ~8–9 signals, maximum confidence level. Ensures trades are highly reliable but may result in fewer trades.
**Confidence Level**: Ultra Conservative
- **Buy Threshold**: 100
- **Sell Threshold**: -100
- **Notes / Significance**: ~9–10 signals, ultra-high confidence. Trades are extremely reliable but opportunities are rare.
**Confidence Level**: Extreme Confidence
- **Buy Threshold**: 110
- **Sell Threshold**: -110
- **Notes / Significance**: All signals align, extreme confidence. Trades are almost certain but very few opportunities.
3CRGANG - TRUE RANGEThis indicator helps traders identify key support and resistance levels using dynamic True Range calculations, while also providing a multi-timeframe trend overview. It plots True Range levels as horizontal lines, marks breakouts with arrows, and displays trend directions across various timeframes in a table, making it easier to align trades with broader market trends.
What It Does
The 3CRGANG - TRUE RANGE indicator calculates dynamic support and resistance levels based on the True Range concept, updating them as price breaks out of the range. It also analyzes trend direction across multiple timeframes (M1 to M) and presents the results in a table, using visual cues to indicate bullish, bearish, or neutral conditions.
Why It’s Useful
This script combines True Range analysis with multi-timeframe trend identification to provide a comprehensive tool for traders. The dynamic True Range levels help identify potential reversal or continuation zones, while the trend table allows traders to confirm the broader market direction before entering trades. This dual approach reduces the need for multiple indicators, streamlining analysis across different timeframes and market conditions.
How It Works
The script operates in the following steps:
True Range Calculation: The indicator calculates True Range levels (support and resistance) using price data (close, high, low) from a user-selected timeframe. It updates these levels when price breaks above the upper range (bullish breakout) or below the lower range (bearish breakout).
Line Plotting: Two styles are available:
"3CR": Plots one solid line after a breakout (green for bullish, red for bearish) and removes the opposing line.
"RANGE": Plots both upper and lower range lines as dotted lines (green for support, red for resistance) until a breakout occurs, then solidifies the breakout line.
Multi-Timeframe Trend Analysis: The script analyzes trend direction on multiple timeframes (M1, M5, M15, M30, H1, H4, D, W, M) by comparing the current close to the True Range levels on each timeframe. A trend is:
Trend Table: A table displays the trend direction for each timeframe, with color-coded backgrounds (green for bullish, red for bearish) and triangles to indicate the trend state.
Breakout Arrows: When price breaks above the upper range, a green ▲ arrow appears below the bar (bullish). When price breaks below the lower range, a red ▼ arrow appears above the bar (bearish).
Bullish (▲): Price is above the upper range.
Bearish (▼): Price is below the lower range.
Neutral (△/▽): Price is within the range, with the last trend indicated by an empty triangle (△ for last bullish, ▽ for last bearish).
Alerts: Breakout alerts can be set for each timeframe, with options to filter by trading sessions (e.g., New York, London) or enable all-day alerts.
Underlying Concepts
The script uses the True Range concept to define dynamic support and resistance levels, which adjust based on price action to reflect the most relevant price zones. The multi-timeframe trend analysis leverages the same True Range logic to determine trend direction, providing a consistent framework across all timeframes. The combination of breakout signals and trend confirmation helps traders align their strategies with both short-term price movements and longer-term market trends.
Use Case
Breakout Trading: Use the True Range lines and arrows to identify breakouts. For example, a green ▲ arrow below a bar with price breaking above the upper range suggests a potential long entry.
Trend Confirmation: Check the trend table to ensure the breakout aligns with the broader trend. For instance, a bullish breakout on the 1H chart is more reliable if the D and W timeframes also show bullish trends (▲).
Range Trading: When price is within the True Range (dotted lines in "RANGE" style), consider range-bound strategies, buying near support and selling near resistance, while monitoring the table for potential trend shifts.
Settings
Input Timeframe: Select the timeframe for True Range calculations (default: chart timeframe).
True Range Style: Choose between "3CR" (single line after breakout) or "RANGE" (both lines until breakout) (default: 3CR).
Change Symbol: Compare a different ticker if needed (default: chart symbol).
Color Theme: Select "LIGHT THEME" or "DARK THEME" for colors, or enable custom colors (default: LIGHT THEME).
Table Position: Set the trend table’s position (center, right, left) (default: right).
Multi Res Alerts Setup: Enable/disable breakout alerts for each timeframe (default: enabled for most timeframes).
Sessions Alerts: Filter alerts by trading sessions (e.g., New York, London) or enable all-day alerts (default: most sessions enabled).
Chart Notes
The chart displays the script’s output on XAUUSD (1H timeframe), showing:
Candlesticks representing price action.
True Range lines (green for support, red for resistance) in "3CR" style, with solid lines after breakouts and dotted lines during range-bound periods.
Arrows (green ▲ below bars for bullish breakouts, red ▼ above bars for bearish breakouts) indicating range breakouts.
A trend table in the top-right corner labeled "TREND EA," showing trend directions across timeframes (M1 to M) with triangles (▲/▼ for active trends, △/▽ for last trend) and color-coded backgrounds (green for bullish, red for bearish).
Notes
The script uses the chart’s ticker by default but allows comparison with another symbol if enabled.
Trend data for higher timeframes (e.g., M) may not display if the chart’s history is insufficient.
Alerts are triggered only during selected trading sessions unless "ALL DAY ALERTS" is enabled.
Disclaimer
This indicator is a tool for analyzing market trends and does not guarantee trading success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
VolumePrice Intensity AnalyzerVolumePrice Intensity Analyzer
The VolumePrice Intensity Analyzer is a Pine Script v6 indicator designed to measure market activity intensity through the trading value (Price * Volume, scaled to millions). It helps traders identify significant volume-price interactions, track trends, and gauge momentum by combining volume analysis with trend-following tools.
Features:
Volume-Based Analysis: Calculates Price * Volume in millions to highlight market activity levels.
Trend Identification: Plots 20-day and 50-day SMAs of the trading value to smooth fluctuations and reveal sustained trends.
Relative Strength: Displays the ratio of daily Price * Volume to the long-term SMA in a separate pane, helping traders assess activity intensity relative to historical averages.
Real-Time Metrics: A table shows the current Price * Volume and its ratio to the long SMA, updated continuously with bold text formatting (v6 feature).
Alerts: Triggers notifications for high trading values (when Price * Volume exceeds 1.5x the long SMA) and SMA crossovers (short SMA crossing above long SMA).
Visual Cues: Uses dynamic bar colors (teal for bullish, gray for bearish) and background highlights to mark significant market activity.
Customizable Inputs: Adjust SMA periods, scaling factor, and alert threshold via the settings panel, with tooltips for clarity (v6 feature).
Originality:
Unlike basic volume indicators, this tool combines Price * Volume with trend analysis (SMAs), relative strength (ratio plot), and actionable alerts. The real-time table and visual highlights provide a unique, at-a-glance view of market intensity, making it a valuable addition for volume and trend-focused traders.
Calculations:
Trading Value (P*V): (Close * Volume) * Scale Factor (default scale factor of 1e-6 converts to millions).
SMAs: 20-day and 50-day Simple Moving Averages of the trading value to identify short- and long-term trends.
Ratio: Daily Price * Volume divided by the 50-day SMA, plotted in a separate pane to show relative activity strength.
Bar Colors: Teal (RGB: 0, 132, 141) for bullish bars (close > open or close > previous close), gray for bearish or neutral bars.
Background Highlight: Light yellow (hex: #ffcb3b, 81% transparency) when Price * Volume exceeds the long SMA by the alert threshold.
Plotted Elements:
Short SMA P*V (M): Red line, 20-day SMA of Price*Volume in millions.
Long SMA P*V (M): Blue line, 50-day SMA of Price*Volume in millions.
Today P*V (M): Columns, daily Price*Volume in millions (teal/gray based on price action).
Daily V*P/Longer Term Average: Purple line in a separate pane, ratio of daily Price * Volume to the 50-day SMA.
Usage:
Spot High Activity: Look for Price * Volume columns exceeding the SMAs or spikes in the ratio plot to identify significant market moves.
Confirm Trends: Use SMA crossovers (e.g., short SMA crossing above long SMA) as bullish trend signals, or vice versa for bearish trends.
Monitor Intensity: The table provides real-time Price * Volume and ratio values, while background highlights signal high activity periods.
Versatility: Suitable for stocks, forex, crypto, or any market with volume data, across various timeframes.
How to Use:
Add the indicator to your chart.
Adjust inputs (SMA periods, scale factor, alert threshold) via the settings panel to match your trading style.
Watch for alerts, check the table for real-time metrics, and observe the ratio plot for relative strength signals.
Use the background highlights and bar colors to quickly spot significant market activity and price action.
This indicator leverages Pine Script v6 features like lazy evaluation for performance and advanced text formatting for better visuals, making it a powerful tool for traders focusing on volume, trends, and momentum.
Dynamic HL VWAP+ | Current & Prev🔴 Dynamic HL VWAP+ | Current & Previous 🔴
A precision volume-weighted tool for traders who want more than just standard VWAP.
🧠 What It Does
The Dynamic HL VWAP+ is a powerful custom-built indicator that anchors Volume Weighted Average Price (VWAP) lines not from the session open, but from the highest and lowest points of dynamically detected price cycles.
Unlike traditional VWAPs, this tool recalculates its anchor points from:
🔺 The most recent swing high (Highest Price in Lookback Period)
Please note currently it's limited to the default value or lower, as any higher, and it will conflict with Pine's restriction on "memory allocation" system for this kind of effort. Will update if there is any change in that.
🔻 The most recent swing low (Lowest Price in Lookback Period)
Then it does the same for the previous cycle (before the current lookback window), allowing you to see how price is behaving relative to past and present price extremes.
⚙️ Key Features
✅ Dynamic Anchoring
Anchors VWAPs from the most recent High and Low over a user-defined lookback period (len).
✅ Multi-Cycle Context
Plots both Current and Previous high/low-anchored VWAPs for contextual analysis.
✅ VWAP from Highs and Lows Separately
You’ll see how price reacts around bullish (High VWAP) and bearish (Low VWAP) pressures—great for scalping, pullbacks, and reversion plays.
✅ Line Visibility Control
You decide which lines to show:
Current High VWAP
Current Low VWAP
Previous High VWAP
Previous Low VWAP
✅ Lightweight and Label-Free
Optimized for performance. No labels, no alerts, just clean and effective plotting.
📈 How to Use
1. Trend Confirmation
When price holds above the Low VWAP or breaks the High VWAP, it signals trend strength.
If price rejects at High VWAP or fails to hold Low VWAP, it's a potential reversal/retest zone.
2. Reversion-to-Mean Plays
Look for price moving far from the VWAP lines and then curling back.
Works great on volatile intraday moves or swing setups.
3. Compare Current vs. Previous Cycle
If current VWAPs are higher than the previous ones, it shows bullish progress.
Converging VWAPs from prior and current cycles often indicate a squeeze or decision point.
📊 Example Scenarios
Example 1 – Intraday Bounce Play:
Price drops into a prior cycle’s Low VWAP line and forms a base—an ideal area to look for long scalps.
Example 2 – Breakout Retest:
Price breaks above the Current High VWAP, then comes back to retest it. If it holds, the breakout is likely valid.
Example 3 – Reversal Setup:
Price is trending up but fails at Current High VWAP and breaks down below Current Low VWAP—watch for short signals.
🛠 Settings
Lookback Bars: Defines how far back to look for the current swing High/Low (default = 66).
VWAP Source: Use ohlc4 for a balanced average, or customize to your preference.
Visibility Toggles: Easily enable/disable each of the four VWAP lines.
🧪 Best Timeframes & Markets
Works across all timeframes
Great for futures, crypto, stocks
Especially useful on 15m–1H intraday charts and 4H–D for swings
💬 Final Thoughts
If you're tired of static VWAPs that only anchor from the open, the Dynamic HL VWAP+ gives you a more price-reactive, context-aware, and actionable VWAP structure.
Ideal for:
Day traders looking for mean-reversion plays
Swing traders targeting pullbacks
Anyone who wants smarter VWAP lines built on recent price structure
This is an educational idea and publication, past performance or what you may see on chart might not be replicable for you. Use at your own risk.
Regards
RSI Oversold ScannerPine Script Description for TradingView Publication
Title: RSI Oversold Scanner (1m, 5m, 15m)
Description:
The RSI Oversold Scanner is a powerful tool designed to identify stocks that are simultaneously oversold on the 1-minute, 5-minute, and 15-minute timeframes, based on the Relative Strength Index (RSI). This script is ideal for traders seeking short-term reversal or momentum opportunities across multiple intraday timeframes.
Key Features:
Multi-Timeframe RSI Analysis: Calculates RSI (default length: 14) on the 1m, 5m, and 15m timeframes and checks if all are below the oversold threshold (default: 30).
Visual Output: Displays a table in the top-right corner showing RSI values and oversold status ("Yes" or "No") for each timeframe, making it easy to verify conditions.
Scan Result: Plots a value of 1 when all three timeframes are oversold, or 0 otherwise, enabling quick identification of matching stocks.
Alert Support: Includes an alert condition that triggers when a stock is oversold on all timeframes, with a customizable message for real-time notifications.
User-Friendly: Built with Pine Script v6 for compatibility and reliability, with clear visual feedback for traders of all levels.
How It Works:
The script uses ta.rsi to compute RSI on the current chart’s timeframe (1m) and request.security to fetch RSI data for the 5m and 15m timeframes.
It checks if RSI is below the oversold level (default: 30) on all three timeframes.
A table displays the RSI values and oversold status for easy debugging.
The Scan Result plot (1 or 0) indicates whether the stock meets the oversold criteria, which can be used for manual scanning or alerts.
Usage Instructions:
Add the script to your chart via Pine Editor.
Use a watchlist to switch between stocks and check the table or Scan Result for oversold conditions.
Set alerts by selecting the script’s Scan Result condition (value = 1) to get notified when a stock is oversold on all timeframes.
Customize the RSI length or oversold level in the script’s code if needed (e.g., change rsiLength or oversoldLevel).
Notes:
Best used on intraday charts (e.g., 1m or higher) with a watchlist for manual scanning, as TradingView’s Stock Screener does not directly support custom Pine Scripts.
Real-time alerts and intraday data may require a TradingView paid plan.
The script uses only two request.security calls, staying well within Pine Script’s limits.
Ideal For:
Day traders and swing traders looking for oversold stocks across multiple intraday timeframes.
Users who want to combine technical analysis with visual and alert-based confirmation.
RISK ROTATION MATRIX ║ BullVision Overview:
Introducing the RISK ROTATION MATRIX – a sophisticated market analysis tool designed to consolidate multiple dimensions of financial data into a single, adaptive risk metric. This indicator standardizes inputs from liquidity, macroeconomic, crypto/commodities, and risk/volatility sources by converting them into z-scores that are then dynamically aggregated and smoothed for clarity. It presents a clear, visually engaging snapshot of current market conditions, empowering users to make more informed analytical decisions.
Key Features:
🔢 Multi-Group Z-Score Normalization
Each data stream is standardized by comparing current values with historical averages and standard deviations, resulting in z-scores that make diverse data comparable.
The indicator organizes these z-scores into distinct groups—liquidity conditions, macroeconomic factors, crypto/commodities trends, and risk/volatility metrics—allowing for a segmented yet cohesive market view.
📊 Dynamic Aggregation & Smoothing
The group-specific averages are combined into one composite score that is then smoothed using a flexible moving average.
With multiple options (such as SMA, EMA, ALMA, etc.), users can adjust the smoothing to filter out noise and capture underlying market signals without making any assumptions regarding future market behavior.
⚙️ Customizable Inputs & Flexibility
Users have the freedom to select which data feeds to include and set custom lookback periods for each group, tailoring the indicator to their analysis needs.
This modular design allows for adjustments that can reflect different market environments without implying any guarantee of future outcomes.
🎨 Advanced Visual Display & dynamic quadrant Design
The indicator features dynamic visual components including an Ehlers-inspired looping graph and quadrant overlays that adjust color based on the composite score’s current state.
The visual design transforms complex data into easily interpretable cues, enhancing the decision-making process.
📋 Integrated Risk Dashboard
A built-in dashboard provides a detailed breakdown of individual z-scores and group averages, offering an at-a-glance view of market liquidity, macro conditions, crypto/commodities dynamics, and risk/volatility.
This layered information is presented in a user-friendly table format, further aiding detailed market analysis.
How It Works:
Z-Score Calculation & Group Aggregation:
Each data point is normalized using its own historical baseline, ensuring that the indicator presents standardized, comparable values across various market dimensions. These normalized values are then grouped, and each group’s average contributes to the overall composite score.
Dynamic Smoothing & Signal Enhancement:
The composite score is processed through a dynamic moving average algorithm. This smoothing step helps in filtering out short-term fluctuations and highlights the persistent underlying trends observed in the current market data.
Graphical Feedback & Color Dynamics:
Visual elements such as color-coded gauges, looping graphs, and quadrant overlays provide clear, intuitive feedback on the indicator’s current reading—indicating various market states without any assumptions of or references to future performance.
Parameters Explained:
📌 Data Group Settings:
Enable or disable specific market data sources within liquidity, macroeconomic, crypto/commodities, and risk/volatility groups.
Adjust the lookback periods for each data input to capture more relevant historical context without implying guarantees on future behavior.
📌 Smoothing & Moving Average Controls:
Choose from a range of moving average types to control the responsiveness and clarity of the composite signal.
Adjust the parameters to find the ideal balance between noise reduction and signal responsiveness.
📌 Visualization & Dashboard Options:
Customize visual settings such as quadrant displays, looping graphs, candle coloring, and risk matrix tables.
These features ensure that the signal is both aesthetically pleasing and highly informative, catering to different user preferences.
Use Cases:
🚀 Swing & Trend Traders:
Use the aggregated composite score to gain insights into current market conditions, helping to identify robust trends and turning points.
⚡ Intraday & Systematic Traders:
Benefit from adjustable filtering and dynamic smoothing to quickly assess real-time market conditions in rapidly changing environments.
🔍 Market Analysts & Discretionary Strategists:
Leverage the detailed risk dashboard for deeper market analysis and to validate broader analytical frameworks.
Why It’s Worth Buying:
Investing in the Comprehensive Composite Z-Score Indicator provides traders and market analysts with a versatile, multi-dimensional tool that simplifies complex market data into an actionable and easy-to-understand format. Here’s what sets it apart:
Holistic Market Insight: The indicator brings together a diverse set of economic and market metrics into a single, composite measure, giving you a well-rounded view of current market conditions.
Customization: With extensive input options and adjustable smoothing parameters, you can tailor the tool to your specific analysis needs, ensuring that the indicator adapts to your trading style.
Enhanced Visuals: The state-of-the-art visual design not only makes the complex data clear at a glance but also adds an engaging element that aids in quick decision-making.
Robust Risk Assessment: By presenting a clear, data-driven risk matrix and dynamic color cues, this tool empowers you to better understand prevailing market risks without making assumptions about future performance.
Disclaimer:
Past performance is not indicative of future results. This tool uses historical data to provide a standardized view of current market conditions, but it does not and cannot predict future market behavior. Use it as one component of a comprehensive market analysis strategy, and always exercise due diligence and risk management in your trading decisions.
By delivering a deep, multifaceted insight into market dynamics, the Comprehensive Composite Z-Score Indicator offers a unique value proposition for traders seeking clarity, customization, and actionable risk assessment without making any promises or assumptions about future performance.
Trend Breakout [Uncle Sam Trading]Trend Breakout Indicator
Overview
The Trend Breakout Indicator is a powerful, non-repainting tool designed to help traders identify high-probability breakout and trend reversal setups on any market and timeframe. By leveraging pivot points, this indicator draws dynamic support and resistance channels, highlights counter-trend breakouts, and provides visual cues for market direction. It’s ideal for traders looking to simplify their analysis while targeting key price levels for entries and exits.
Key Features
Pivot-Based Channels: Draws a red upper channel (resistance) and a green lower channel (support) by connecting recent pivot highs and lows.
Counter-Trend Breakout Signals:
Blue “CT Breakup” signal (▲) when the price breaks above the upper channel during a downtrend, indicating a potential reversal or pullback.
Orange “CT Breakdown” signal (▼) when the price breaks below the lower channel during an uptrend, signaling a potential downmove.
Trend Visualization: Background color shifts to green for uptrends and red for downtrends, making it easy to gauge market direction.
Customizable Settings: Adjust pivot detection sensitivity with “Pivot Left Bars” (default: 5) and “Pivot Right Bars” (default: 1), and control channel extension with “Channel Extension Bars” (default: 50).
Optional Trend Signals: Enable “Show Trend Change Signals” to display trend shifts with green (uptrend) or red (downtrend) arrows.
Alert Conditions: Set alerts for counter-trend breakouts and trend changes directly on TradingView.
Example Performance (BTCUSDT, 1-Hour Chart)
On the BTCUSDT 1-hour chart:
A “CT Breakdown” signal appeared on April 6 at 8:00 AM at $82,700, followed by a drop to $74,400 within hours—a 10% move.
A “CT Breakup” signal occurred on April 9 at 1:00 AM at $76,600, leading to a rally to $86,600 in a few hours—a 9% gain.
These examples highlight the indicator’s ability to spot significant price movements, though results depend on market conditions, your trading style, and risk management.
Settings
Pivot Left Bars (default: 5): Number of bars to the left for pivot detection.
Pivot Right Bars (default: 1): Number of bars to the right for pivot confirmation (ensures non-repainting signals).
Channel Extension Bars (default: 50): How far the channels extend to the right.
Show Pivot Points (default: true): Displays small triangles at pivot highs (maroon) and lows (navy).
Show Counter-Trend Breakout Signals (default: true): Shows CT Breakup and CT Breakdown signals.
Show Trend Change Signals (default: false): Displays trend shift arrows when enabled.
How to Use
Add the indicator to your chart via TradingView’s indicator library.
Adjust the settings to match your trading style and timeframe.
Watch for “CT Breakup” and “CT Breakdown” signals to identify potential trade setups.
Use the background color (green/red) to confirm the current trend.
Set alerts for breakouts or trend changes to stay updated on key signals.
Always combine with proper risk management and your own analysis—past performance is not a guarantee of future results.
Notes
The indicator is non-repainting, meaning signals are confirmed and won’t disappear after they form.
Works on any market (crypto, forex, stocks) and timeframe, such as the BTCUSDT 1-hour chart shown.
Performance varies based on market volatility and your trading strategy.
This is a free tool created to support the TradingView community—feedback is welcome in the comments!
Disclaimer
Trading involves risk, and this indicator is not a guaranteed predictor of future price movements. Always conduct your own analysis and manage risk appropriately. The examples provided (e.g., BTCUSDT signals) are for educational purposes only and reflect past performance, which may not repeat.
Statistical Trailing Stop [LuxAlgo]The Statistical Trailing Stop tool offers traders a way to lock in profits in trending markets with four statistical levels based on the log-normal distribution of volatility.
The indicator also features a dashboard with statistics of all detected signals.
🔶 USAGE
The tool works out of the box, traders can adjust the data used with two parameters: data & distribution length.
By default, the tool takes volatility measures of groups of 10 candles, and statistical measures of the last 100 of these groups then traders can adjust the base level to use as trailing, the larger the level, the more resistant the tool will be to moves against the trend.
🔹 Base Levels
Traders can choose up to 4 different levels of trailing, all based on the statistical distribution of volatility.
As we can see in the chart above, each higher level is more resistant to market movements, so level 0 is the most reactive and level 3 the least.
It is up to the trader to determine the best level for each underlying, time frame and market conditions.
🔹 Dashboard
The tool provides a dashboard with the statistics of all trades, making it very easy to assess the performance of the parameters used for any given market.
As we can see on the chart, all Daily BTC signals with default parameters but different base levels, level 2 is the best performing of all four, giving a positive expectation of $2435 per trade, taking into account all long and short trades.
Of note are the long trades with a win rate of 76.47% and a risk-to-reward of 3.34, giving a positive expectation of $4839 per trade, with winners having an average duration of 210 days and losers 32 days.
This, compared to short trades with negative expectation, speaks to the uptrend bias of this particular market.
🔶 SETTINGS
Data Length: Select how many bars to use per data point
Distribution Length: Select how many data points the distribution will have
Base Level: Choose between 4 different trailing levels
🔹 Dashboard
Show Statistics: Enable/disable dashboard
Position: Select dashboard position
Size: Select dashboard size
Multi-currency TSI & Trend Dashboard (V1)This indicator aggregates momentum data from multiple currency pairs to calculate a True Strength Index (TSI) for eight major currencies. It then derives a trend for each currency by comparing the TSI to an exponential moving average (EMA) calculated over a user-defined period. The result is presented in a dashboard of tables, each showing the currency's name, its TSI value, and whether it is in an uptrend, downtrend, or flat state. This provides traders with a clear, at-a-glance overview of currency strength without the need for complex analysis.
Fractal Wave MarkerFractal Wave Marker is an indicator that processes relative extremes of fluctuating prices within 2 periodical aspects. The special labeling system detects and visually marks multi-scale turning points, letting you visualize fractal echoes within unfolding cycles dynamically.
What This Indicator Does
Identifies major and minor swing highs/lows based on adjustable period.
Uses Phi in power exponent to compute a higher-degree swing filter.
Labels of higher degree appear only after confirmed base swings — no phantom levels, no hindsight bias. What you see is what the market has validated.
Swing points unfold in a structured, alternating rhythm . No two consecutive pivots share the same hierarchical degree!
Inspired by the Fractal Market Hypothesis, this script visualizes the principle that market behavior repeats across time scales, revealing structured narrative of "random walk". This inherent sequencing ensures fractal consistency across timeframes. "Fractal echoes" demonstrate how smaller price swings can proportionally mirror larger ones in both structure and timing, allowing traders to anticipate movements by recursive patterns. Cycle Transitions highlight critical inflection points where minor pivots flip polarity such as a series of lower highs progress into higher highs—signaling the birth of a new macro trend. A dense dense clusters of swing points can indicate Liquidity Zones, acting as footprints of institutional accumulation or distribution where price action validates supply and demand imbalances.
Visualization of nested cycles within macro trend anchors - a main feature specifically designed for the chartists who prioritize working with complex wave oscillations their analysis.
Dskyz (DAFE) Aurora Divergence - Dskyz (DAFE) Aurora Divergence Indicator
Advanced Divergence Detection for Traders. Unleash the power of divergence trading with this cutting-edge indicator that combines price and volume analysis to spot high-probability reversal signals.
🧠 What Is It?
The Dskyz (DAFE) Aurora Divergence Indicator is designed to identify bullish and bearish divergences between the price trend and the On Balance Volume (OBV) trend. Divergence occurs when the price of an asset and a technical indicator (in this case, OBV) move in opposite directions, signaling a potential reversal. This indicator uses linear regression slopes to calculate the trends of both price and OBV over a specified lookback period, detecting when these two metrics are diverging. When a divergence is detected, it highlights potential reversal points with visually striking aurora bands, orbs, and labels, making it easy for traders to spot key signals.
⚙️ Inputs & How to Use Them
The indicator is highly customizable, with inputs grouped under "⚡ DAFE Aurora Settings" for clarity. Here’s how each input works:
Lookback Period: Determines how many bars are used to calculate the price and OBV slopes. Higher values detect longer-term trends (e.g., 20 for 1H charts), while lower values are more responsive to short-term movements.
Price Slope Threshold: Sets the minimum slope value for the price to be considered in an uptrend or downtrend. A value of 0 allows all slopes to be considered, while higher values filter for stronger trends.
OBV Slope Threshold: Similar to the price slope threshold but for OBV. Helps filter out weak volume trends.
Aurora Band Width: Adjusts the width of the visual bands that highlight divergence areas. Wider bands make the indicator more visible but may clutter the chart.
Divergence Sensitivity: Scales the strength of the divergence signals. Higher values make the indicator more sensitive to smaller divergences.
Minimum Strength: Filters out weak signals by only showing divergences above this strength level. A default of 0.3 is recommended for beginners.
Signal Cooldown (Bars): Prevents multiple signals from appearing too close together. Default is 5 bars, reducing chart clutter and helping traders focus on significant signals.
These inputs allow traders to fine-tune the indicator to match their trading style and timeframe.
🚀 What Makes It Unique?
This indicator stands out with its innovative features:
Price-Volume Divergence: Combines price trend (slope) and OBV trend for more reliable signals than price-only divergences.
Aurora Bands: Dynamic visual bands that highlight divergence zones, making it easier to spot potential reversals at a glance.
Interactive Dashboard: Displays real-time information on trend direction, volume flow, signal type, strength, and recommended actions (e.g., "Consider Buying" or "Consider Selling").
Signal Cooldown: Ensures only the most significant divergences are shown, reducing noise and improving usability.
Alerts: Built-in alerts for both bullish and bearish divergences, allowing traders to stay informed even when not actively monitoring the chart.
Beginner Guide: Explains the indicator’s visuals (e.g., aqua orbs for bullish signals, fuchsia orbs for bearish signals), making it accessible for new users.
🎯 Why It Works
The indicator’s effectiveness lies in its use of price-volume divergence, a well-established concept in technical analysis. When the price trend and OBV trend diverge, it often signals a potential reversal because the underlying volume support (or lack thereof) is not aligning with the price action. For example:
Bullish Divergence: Occurs when the price is making lower lows, but the OBV is making higher lows, indicating weakening selling pressure and potential upward reversal.
Bearish Divergence: Occurs when the price is making higher highs, but the OBV is making lower highs, suggesting weakening buying pressure and potential downward reversal.
The use of linear regression ensures smooth and accurate trend calculations over the specified lookback period. The divergence strength is then normalized and filtered based on user-defined thresholds, ensuring only high-quality signals are displayed. Additionally, the cooldown period prevents signal overload, allowing traders to focus on the most significant opportunities.
🧬 Indicator Recommendation
Best For: Traders looking to identify potential trend reversals in any market, especially those where volume data is reliable (e.g., stocks, futures, forex).
Timeframes: Suitable for all timeframes. Adjust the lookback period accordingly—smaller values for shorter timeframes (e.g., 1H), larger for longer ones (e.g., 4H or daily).
Pair With: Support and resistance levels, trend lines, other oscillators (e.g., RSI, MACD) for confirmation, and volume profile tools for deeper analysis.
Tips:
Look for divergences at key support/resistance levels for higher-probability setups.
Pay attention to signal strength; higher strength divergences are often more reliable.
Use the dashboard to quickly assess market conditions before entering a trade.
Set up alerts to catch divergences even when not actively watching the chart.
🧾 Credit & Acknowledgement
This indicator builds upon the classic concept of price-volume divergence, enhancing it with modern visualization techniques, advanced filtering, and user-friendly features. It is designed to provide traders with a powerful yet intuitive tool for spotting reversals.
📌 Final Thoughts
The Dskyz (DAFE) Aurora Divergence Indicator is more than just a divergence tool; it’s a comprehensive trading assistant that combines advanced calculations, intuitive visualizations, and actionable insights. Whether you’re a seasoned trader or just starting out, this indicator can help you spot high-probability reversal points with confidence.
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
-Dskyz
Dskyz (DAFE) Turning Point Indicator - Dskyz (DAFE) Turning Point Indicator — Smart Reversal Signals
Inspired by the intelligent logic of a pervious indicator I saw. This script represents a next-generation reversal detection system—completely re-engineered with cutting-edge filters, adaptive logic, and intelligent dashboards.
The Dskyz (DAFE) Turning Point Indicator
🧠 What Is It?
is designed to identify key market reversal zones with extraordinary accuracy by combining trend direction, volatility confirmation, price action patterns, and smart filtering layers—all visualized in a highly interactive and informative chart overlay.
This isn’t just a signal generator—it’s a decision-making assistant.
⚙️ Inputs & How to Use Them
All input fields are grouped for ease-of-use and explanation:
🔸 Reversal Logic Settings
Source: The price source used for signal generation (default: hlcc4). Can be changed to any standard price formula (open, close, hl2, etc.).
ATR Period: Used for determining volatility and dynamic trailing stop logic.
Supertrend Factor / Period: Calculates directional movement to detect trending vs choppy zones.
Reversal Sensitivity Thresholds: Internal logic filters minor pullbacks from true reversals.
🔸 Filters
Trend Filter: Enables trend-only signals (optional).
Volume Spike Filter: Confirms reversals with significant volume activity.
Volatility Zone Coloring: Visually highlights high-volatility areas to avoid late entries or fakeouts.
Custom High/Low Detection: Smart local top/bottom scanning to reinforce accuracy.
🔸 Visual & Dashboard Options
Signal Labels: Toggle signal labels on the chart.
Color Theme: Choose your visual theme for easier visibility.
Dashboard Toggle: Activate a compact dashboard summarizing strategy health (win rate, drawdown, trend state, volatility).
🧩 Functions Used
ta.supertrend(): Determines trend direction for signal confirmation and filtering.
ta.atr(): Calculates real-time volatility to determine trailing stop exits and visual zones.
ta.rsi() (internally optimized): Helps filter overbought/oversold conditions.
Local High/Low Scanner: Tracks recent pivots using a custom dynamic lookback.
Signal Engine: Consolidates multiple confirmation layers before plotting.
🚀 What Makes It Unique?
Unlike traditional reversal indicators, this one combines:
Multi-factor signal validation: No single indicator makes the call—volume, trend, price action, and volatility all contribute.
Adaptive filtering: The indicator evolves with the market—less noise, smarter signals.
Visual volatility heatmap zones: Avoid entering during uncertainty or manipulation spikes.
Interactive trend dashboard: Immediate insight into the strength and condition of the current market phase.
Highly customizable: Turn features on/off to match your trading style—scalping, swing, or trend-following.
Precision timing: Uses optimized versions of RSI and ATR that adjust automatically with price context.
🧬 Recommended for:
Commodity: Futures, Forex, Crypto
Timeframes: 1m to 1h for active traders. 4h+ for swing trades.
Pair With: Support/resistance zones, Fibonacci levels, and smart money concepts for additional confluence.
🎯 Why It Works
- Traditional reversal signals suffer from lag and noise. This system filters both by:
- Using multi-source confirmation, not just price movement.
-Tracking volatility directly, not assuming static markets.
-Detecting exhaustion, not just divergence.
-Keeping your screen clean, with only the most relevant data shown.
🧾 Credit & Acknowledgement
🧠 Original Concept Inspiration: This project was deeply inspired by the work of Enes_Yetkin_ and their approach to reversal detection. This version expands on the concept with additional technical layers, updated visuals, and real-time adaptability.
📌 Final Thoughts
This is more than a reversal tool. It's a market condition interpreter, entry/exit planner, and risk assistant all in one. Every aspect is engineered to give you an edge—especially when timing means everything.
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
-Dskyz
FeraTrading Relative Volume IndicatorThis FeraTrading Relative Volume Indicator measures relative volume pressure by comparing buying and selling activity, smoothed using a configurable average. It helps traders identify volume-driven momentum shifts, offering dynamic buy and sell signals based on weighted pressure values.
Key Features:
📈 Relative Volume (RV) Line: Measures net buying/selling pressure using volume-weighted price action.
🟢 Buy Signals: Triggered when RV crosses above a smoothed moving average (SMA 1).
🔴 Sell Signals (optional): Triggered when RV crosses below a separate SMA (SMA 2).
🔍 Customizable Inputs: Adjust smoothing length, weight, and signal sensitivity.
🕯️ Weighted Candles (optional): Visualizes custom OHLC based on volume-weighted volatility.
📊 Two SMAs: Use separate or combined moving averages to analyze trends in pressure.
🎨 Flexible Styling: Customize line and signal colors to match your chart setup.
Use Cases:
Spotting accumulation/distribution phases
Timing entries during volume surges
Confirming breakout momentum with underlying volume pressure
This indicator was developed by FeraTrading to visualize relative volume pressure.
Intraday Uncertainty [PhenLabs]📊 Intraday Uncertainty
Version: PineScript™ v6
📌 Description
The Intraday Uncertainty indicator offers traders a visual representation of market certainty/uncertainty during trading sessions. By comparing each price bar’s range to the Average True Range (ATR), it provides an intuitive way to gauge market conviction through a color gradient system.
This tool helps traders identify periods of high certainty (potentially trending markets) versus high uncertainty (potentially choppy or volatile markets) without complex calculations or multiple indicators. The color-coded bars create an immediate visual cue to support decision-making in varying market conditions.
🚀 Points of Innovation
Automated range-to-ATR ratio calculation that adapts to changing market volatility
Dynamic color gradient system that visually distinguishes between certain and uncertain price action
Customizable gradient clamping to fine-tune sensitivity to market conditions
Integrated dashboard that provides clear interpretation guidance
Position-flexible legend that accommodates different chart layouts
Highly optimized for performance with minimal calculation overhead
🔧 Core Components
ATR Calculation: Measures market volatility using a configurable lookback period
Range-to-ATR Ratio: Compares current bar’s high-low range against average volatility
Gradient Mapping System: Converts numerical uncertainty values into an intuitive color scale
Dashboard Legend: Provides clear interpretation guidance with customizable positioning
🔥 Key Features
Bar Coloring: Instantly identifies market certainty levels through intuitive color gradients
Customizable ATR Period: Adjust sensitivity to historical volatility based on trading style
Gradient Clamping: Fine-tune the color sensitivity using the Range/ATR multiplier
Color Customization: Personalize the color scheme to match your chart aesthetics
Informative Dashboard: Quickly interpret color meanings with the optional on-chart legend
Flexible Display Options: Customize dashboard position and text size for your chart layout
🎨 Visualization
Color Gradient: Bars colored on a spectrum from green (high certainty) to red (high uncertainty)
Dashboard Legend: Optional on-chart guide explaining the color interpretation
Color Intensity: Stronger colors indicate more extreme certainty/uncertainty levels
At-a-glance Interpretation: Quickly identify market conviction without analyzing numbers
📖 Usage Guidelines
Calculation Settings
ATR Period
Default: 14
Range: 1+
Description: Controls the lookback period for ATR calculation. Lower values increase sensitivity to recent volatility, while higher values provide more stability.
Gradient Clamp (Range/ATR Multiplier)
Default: 2.0
Range: 0.1+
Description: Sets the maximum Range/ATR ratio for gradient scaling. Ranges above this value display the end color (high uncertainty).
Color Settings
Gradient Start Color (High Certainty)
Default: Green
Description: Color representing high market certainty (low Range/ATR ratio)
Gradient End Color (Low Certainty)
Default: Red
Description: Color representing low market certainty (high Range/ATR ratio)
Dashboard Settings
Show Dashboard Legend
Default: True
Description: Toggles the visibility of the on-chart interpretation guide
Dashboard Position
Options: top_right, top_left, bottom_right, bottom_left, middle_right, middle_left
Default: bottom_right
Description: Controls the placement of the dashboard on your chart
Dashboard Text Size
Options: tiny, small, normal, large, huge
Default: normal
Description: Adjusts the text size of the dashboard for readability
✅ Best Use Cases
Identifying potential trend shifts when certainty levels change dramatically
Confirming trend strength through consistent certainty levels
Detecting choppy/sideways markets with persistent high uncertainty
Filtering trading signals from other indicators based on certainty levels
Gauging market conviction behind price breakouts or pullbacks
Optimizing entry/exit timing based on certainty/uncertainty transitions
⚠️ Limitations
Does not predict future price direction, only measures current bar certainty
May provide false signals during news events or unexpected volatility spikes
Requires context within the broader market environment for optimal interpretation
Color interpretation is relative rather than absolute across different securities
ATR-based calculation means sensitivity varies across different timeframes
💡 What Makes This Unique
Simplicity: Single visual indicator that doesn’t require multiple technical tools
Adaptability: Automatically adjusts to changing market volatility conditions
Contextual Analysis: Provides market conviction context beyond just price movement
Intuitive Design: Color-based system that requires minimal learning curve
Efficiency: Lightweight calculation that doesn’t impact chart performance
🔬 How It Works
1. ATR Calculation:
Calculates the Average True Range using the specified period
Establishes a baseline for normal market volatility
2. Range Analysis:
Measures each bar’s high-low range
Compares this range to the current ATR value to create a ratio
3. Gradient Mapping:
Converts the Range/ATR ratio to a normalized value between 0 and 1
Maps this value onto a color gradient between the start and end colors
Applies the resulting color to the price bar
4. Dashboard Creation:
Constructs an information panel on the last visible bar
Populates it with color samples and interpretation guidance
💡 Note:
This indicator works best when used in conjunction with other technical analysis tools rather than in isolation. The certainty/uncertainty measure provides context for your trading decisions but should not be the sole basis for entries and exits. Consider using higher certainty periods for trend-following strategies and exercise caution during periods of high uncertainty.
Benner Cycle + Auto Weekly FibonacciBenner Cycle Wave
A sinusoidal wave modeled after the historic Benner Cycle theory, which suggests regular economic and market turning points.
- Auto-adjusts based on chart time
- Displays BUY/SELL signal markers at cycle peaks and troughs
Fibonacci Retracement Levels
Automatically draws key Fibonacci levels (0% to 100%) using the daily high and low, helping you spot potential reversal or continuation zones.
- Fully dynamic: updates at the start of each week
- Great for intraday and swing traders looking to time pullbacks or breakouts
Why use both?
The Benner wave highlights when markets may shift. The Fibonacci levels show where price could react. Together, they give you time + price confluence — a powerful edge in trade planning.
No Wick Candle Finder"No Wick Candle Finder", is a visual that identifies and confirms candlestick patterns with no wicks—a rare but significant type of price action. Here's a breakdown of what it does, how it works, and why traders might find it useful:
This script highlights candles with no wicks and adds an extra layer of confirmation before plotting a signal.
📌 What is a No-Wick Candle?
A "no-wick" candle means:
Bullish (green) no-wick candle:
Open = Low
Close = High
Strong buying pressure from start to end of the candle.
Bearish (red) no-wick candle:
Open = High
Close = Low
Strong selling pressure throughout the candle.
These candles indicate a clear directional move with no retracement during the timeframe.
🧠 Trading Use Cases
Trend Continuation Entry: These candles can signal strong momentum continuation.
Breakout Confirmation: Often appear on breakouts—confirming strength.
Scalping or Intraday: Great for short timeframes where clean moves matter most.
Super Oscillator - Monastrell [hamgkia]The Monastrell tool is an oscillator designed designed to track directional price movement adjusted by volume and normalized by volatility. It dynamically calculates overbought and oversold thresholds using percentiles and adapts to market conditions through trend bias and threshold smoothing.
Built with a layered, modular logic structure, the Monastrell Oscillator offers powerful analytical capabilities for both discretionary and algorithmic traders.
🔶 WHAT'S INCLUDED
Oscillator based on smoothed price change enhanced by a volume deviation factor.
Normalization through ATR to adapt readings across assets and timeframes.
Trend bias factor adjusts oscillator vertically depending on short- vs long-term EMA drift.
Overbought/Oversold zones determined by interpolation and smoothed via EMA.
Color-coded oscillator line indicating current state: green (above upper), red (below lower), gray (neutral).
Optional signal labels at key threshold crossings.
Optional informational label displaying live oscillator value, thresholds, and signal confidence.
Signal strength score based on distance to thresholds and threshold positioning.
Built-in alert conditions for 4 types of transitions.
🔷 HOW IT WORKS
Oscillator
The oscillator measures the smoothed difference between current and previous close prices, then scales this by the relative increase or decrease in volume compared to its average. This gives more weight to moves backed by participation.
Normalization
The result is normalized using ATR, turning the oscillator into a scale-independent metric. Then, trend bias is applied — calculated by comparing short- and long-term EMA slopes — shifting the oscillator up or down during trending environments.
Thresholds
Dynamic threshold levels are not static: they are calculated using percentile ranges over the lookback window. This ensures overbought and oversold zones reflect current volatility and price dynamics, rather than using fixed bands.
Signal Strength
Each bar is evaluated in relation to these adaptive thresholds, triggering label plots and alerts if conditions are met. In addition, the oscillator computes a real-time signal strength value that evaluates how actionable a signal is based on multiple internal metrics.
Labels
Stop SELL (L1) — Crossing above the oversold zone.
Stop BUY (L1) — Crossing below the overbought zone.
BUY and TP (L2) — Re-entering from below oversold.
SELL and TP (L2) — Re-entering from above overbought.
These label events are also available as alert conditions.
A dynamic scoring system rates the quality of the current signal based on:
Distance from the nearest threshold.
Width of the threshold channel.
Offset of thresholds relative to neutral zero level.
This produces a signal strength value categorized as:
💭 Weak
🔆 Average
🚀 Strong
If information label is enabled, the score and structure are displayed as a floating label on the chart.
🔶 USAGE
New signals appears when Oscillator crossing overbought/oversold zones.
L1 signals gives you advise what NOT TO DO .
L2 signals gives you advise what TO DO .
If you draw channels using my hint - you will have a very good SL level and potential TP1 level:
The indicator showed impressive results on the emulator in two formats:
1. With trailing stops.
2. With preset TP/SL, as I drew on the chart.
Tips
If the upper/lower threshold band is far from zero (> 0.3 & < -0.3), it often indicates trend exhaustion.
You can adjust Trend Bias Influence to control how sensitive the oscillator is to trend direction.
Use Signal Strength for confidence scoring or to gate trades in automation.
Draw channels, this will help to set SL and TP .
Fix profits before the trend reverses and drags you into minus, this indicator is more suitable for trades with clear ranges.
