Zig Zag + Fibonacci PROPlots ZigZag structure with optional Fibonacci retracement levels.
Helps identify recent highs/lows and possible support/resistance zones.
Customizable levels and alert on price cross.
تحليل الاتجاه
FVG Alerts v1.0This indicator automatically spots fair value gaps on your TradingView chart. It marks bullish gaps where price jumped up and bearish gaps where price dropped down. You see clear colored boxes around each gap for quick visual identification. The first valid bullish gap of the day triggers a one‑time alert so you catch prime opportunities. Behind the scenes it checks that gaps are significant by looking at price movement strength. It also confirms that volume was higher than usual during the gap bar for added reliability. Additionally it considers past order blocks to ensure gaps happen near key areas. As soon as price returns into a gap zone the boxes automatically disappear to keep your chart neat. You can choose any higher timeframe for gap detection to match your trading style. Colors for bullish and bearish gaps are fully customizable so they stand out on your setup. Sensitivity settings let you adjust how small or large a gap must be to appear. The indicator manages how many past zones to track so you never overload your chart. Alert conditions are named clearly for easy integration with TradingView notifications. You can link those alerts to email, SMS, or webhook services for instant updates. No coding is required to get started—all options are available in the input menu.
This tool streamlines gap‑based trading by automating every step from detection to alerting. It saves you time by filtering out weak or insignificant gaps before showing them. With clear visuals you can focus on price action without digging through raw data. The dynamic reset ensures you only get one first‑bull alert per day, preventing noise. Custom timeframe selection allows you to spot gaps on any timeframe from minutes to days. The automatic cleanup keeps your workspace clutter‑free and responsive. You choose how many past gaps to keep visible, so you control chart complexity. Built‑in risk‑control filters help you avoid traps where price gap zones lack follow‑through. Alerts pop up right on the chart and can be sent to external apps for mobile convenience. Visual customization options include box opacity, line thickness, and extend length. Everything is wrapped in a straightforward interface that traders at any level can use. Whether you are scalping or swing trading this indicator adapts to your pace. It brings professional gap‑analysis techniques within reach without programming skills. By focusing on high‑confidence gaps you can refine entries and exits more effectively. Overall this indicator empowers traders to spot strong gap setups and act quickly.
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.
All-Time, Yearly & Monthly High/LowThis indicator visually tracks and displays:
• All-Time High (ATH) – The highest price the asset has ever reached
• All-Time Low (ATL) – The lowest price the asset has ever reached
• Yearly High/Low – The highest and lowest prices recorded in the current calendar year
• Monthly High/Low – The highest and lowest prices in the current calendar month
It helps traders quickly identify major support/resistance levels and historical price extremes across different timeframes. Level
Color
Updates When
All-Time High
Red
A new highest price ever is reached
All-Time Low
Green
A new lowest price ever is reached
Yearly High
Orange
New yearly high occurs or changes with new year
Yearly Low
Teal
New yearly low occurs or changes with new year
Monthly High
Fuchsia
New monthly high or at the start of each new month
Monthly Low
Navy Blue
New monthly low or at the start of each new month This indicator is especially useful for:
• Swing traders watching monthly or yearly trend zones
• Breakout traders looking to spot price levels where breakouts might occur
• Reversal traders using all-time levels for high-risk reward zones
• Long-term investors gauging historical extremes for entries/exits
Swing + 3-Bar Breakout(Mastersinnifty)Overview:
This script is a hybrid trading tool designed to combine swing-based reversal detection with 3-bar breakout confirmation, offering traders multiple perspectives on both early reversals and trend continuation setups.
It integrates:
• ZigZag-based Swing Detection — to help identify significant market turning points.
• Momentum Validation — using RSI and Rate of Change (ROC) to filter and strengthen signal confidence.
• 3-Bar Breakout Confirmation — for traders seeking breakouts after structural consolidations.
• Dynamic Trailing Stop Logic — using ATR to manage exit risk while allowing trades room to develop.
• Swing Projection Levels — to plot theoretical price targets based on measured moves from prior swings.
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What Makes This Script Unique:
Unlike basic ZigZag or momentum scripts, this indicator combines multiple layers of logic:
• Structural detection via swings,
• Momentum filtering via RSI and ROC,
• Breakout confirmation through multi-bar validation,
• Automated projection targets for reference,
• Real-time risk management via trailing stops.
This approach provides flexibility for both reversal and continuation trades in one package.
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Who This Is Useful For:
• Swing Traders — for identifying higher-lows & lower-highs during trend shifts.
• Scalpers & Intraday Traders — thanks to fast-reacting momentum filters.
• Breakout Traders — with automated breakout signals after price compression.
• Risk Managers — through built-in trailing stop logic for visual exit planning.
• Price Action Analysts — who appreciate calculated swing projection targets.
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How to Use:
• Swing Identification:
• The script automatically marks swing highs and lows, allowing you to spot trend change zones via HL (Higher Lows) and LH (Lower Highs) labels.
• Momentum Confirmation:
• Trade signals trigger when swing points align with extreme RSI readings and ROC crosses a defined threshold, confirming both price reaction and velocity.
• Breakout Detection:
• Additional breakout signals are generated when the price crosses key swing levels defined by the lookback period, highlighting possible continuation trades.
• Risk Management Tools:
• ATR-based trailing stops are plotted once a signal is triggered, offering dynamic risk control.
• Swing projection levels are calculated and plotted to visualize potential price destinations.
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⚠️ Disclaimer:
This script is intended as an analytical tool for chart-based trading insights. It does not guarantee profits or predict future outcomes. Trading carries risk, and past performance is not indicative of future results. Always perform your own due diligence before making trading decisions.
RSI + SuperTrend Filter Strategy (45m BTCUSDT)🧠 Strategy Breakdown: RSI + SuperTrend Filter (45m BTCUSDT)
This strategy is built on a simple yet powerful principle: don’t fight the trend — and never ignore momentum exhaustion.
At its core, this setup looks for RSI-based reversal entries, but only when price action aligns with the underlying trend structure, defined by a modified SuperTrend. This combo filters out a large chunk of noise you typically get with RSI alone on lower timeframes.
📊 How It Works
Longs trigger when RSI crosses up from oversold and SuperTrend confirms a bullish bias.
Shorts trigger when RSI crosses down from overbought and SuperTrend confirms a bearish structure.
Each entry is paired with a tight SL (1%) and dynamic TP (1.5%), offering favorable risk:reward setups.
The script includes clean chart visuals — background zones, SL/TP lines, and real-time trend bands — built for clarity and decision speed.
⚙️ Why It Works
Too many RSI strategies reverse blindly — this doesn’t. By combining RSI oversold/overbought conditions with a directional SuperTrend filter, you get higher-quality entries, especially during high-volatility phases.
This is not designed for sideways markets — it’s meant to catch clean swings in structured trends. The 45m TF adds breathing room for better signal quality while still allowing for decent trade frequency.
📈 Backtest Snapshot (3m logic on 45m BTCUSDT)
💰 +213,885 USDT total P&L
🧠 239 trades, with solid coverage across sessions
📉 15% max drawdown
⚖️ Profit factor: 1.12
🔁 Dynamic execution-ready — ideal for automation or manual confirmations
🔧 Built For Traders Who:
Want non-repainting structure they can trust
Prefer mechanical entries with visual context
Are experimenting with automation-ready setups
Need something they can tweak and expand on
🔥 If you're serious about combining clean signals with trend confirmation — this is a solid foundation. Drop a comment if you want the multi-timeframe version or ideas on adding volume-based confirmations.
Zagzag indicatorThis indicator combines three powerful tools—Bollinger Bands, VWAP (Volume Weighted Average Price), and EMA (Exponential Moving Average)—into a single, easy-to-use overlay for your TradingView charts. With customizable settings for each component, you can analyze price volatility, identify trend direction, and spot potential support and resistance levels all at once. The script also includes example buy and sell signals based on the relationship between price, Bollinger Bands, and VWAP, making it a versatile addition to any trader’s toolkit. Inspired by the Trendoscope community, this all-in-one solution streamlines your chart setup and enhances your technical analysis.
Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System
OVERVIEW
Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator.
This indicator is not a random mix of tools — each module is carefully selected for a specific purpose. When combined, they form a multi-dimensional view of the market, merging trend analysis, momentum divergence, and volatility compression to produce high-confidence signals.
Why Combine These Modules?
Module Combination Ideas & How to Use Them
Factor A: Trend Detector + Gold Zone
Concept:
• The Trend Detector (light yellow histogram) evaluates market strength:
• Histogram trending downward or staying below 50 → bearish conditions;
• Trending upward or staying above 50 → bullish conditions.
• The Gold Zone identifies areas of volatility compression — typically a prelude to explosive market moves.
Practical Application:
• When the Gold Zone appears and the Trend Detector is bearish → likely downside move;
• When the Gold Zone appears and the Trend Detector is bullish → likely upside breakout.
• Note: The Gold Zone does not mean the bottom is in. It is not a buy signal on its own — always combine it with other modules for directional bias.
Factor B: PAI + Wave Trend
Concept:
• PAI (Price Action Index) is a custom oscillator that combines price momentum with volatility dispersion, displaying strength zones:
• Green area → bullish dominance;
• Red area → bearish pressure.
• Wave Trend offers smoothed crossover signals via the main and signal lines.
Practical Application:
• When PAI is in the green zone and Wave Trend makes a bullish crossover → potential reversal to the upside;
• When PAI is in the red zone and Wave Trend shows a bearish crossover → potential start of a downtrend.
Factor C: Trend Detector + PAI
Concept:
• Combines directional trend strength with price action strength to confirm setups via confluence.
Practical Application:
• Trend Detector histogram bottoms out + PAI enters the green zone → high chance of upward reversal;
• Histogram tops out + PAI in the red zone → increased likelihood of downside continuation.
Multi-Factor Confluence (Advanced Use)
• When Trend Detector, PAI, and Wave Trend all align in the same direction (bullish or bearish), the directional signal becomes significantly more reliable.
• This setup is especially useful for trend-following or swing trade entries.
KEY FEATURES
1. Multi-Layer Reversal Logic
• Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection.
• Helps traders distinguish between trend pullbacks and true reversals.
2. Advanced Divergence Detection
• Detects both regular and hidden divergences using pivot-based confirmation logic.
• Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles.
3. Gold Zone Volatility Compression
• Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.).
• Improves anticipation of breakout opportunities following low-volatility compressions.
4. Trend Direction Context
• PAI and Trend Score components provide top-down insight into prevailing bias.
• Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases.
5. Flexible Visualization
• Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels.
• Designed for both visual discretionary traders and data-driven system developers.
USAGE GUIDELINES
1. Applicable Markets
• Suitable for stocks, crypto, futures, and forex
• Supports reversal, mean-reversion, and breakout trading styles
2. Recommended Timeframes
• Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone
• Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector
• Macro trend context: use PAI HTF mode for higher timeframe overlays
3. Reversal Strategy Flow
• Watch for divergence (WT/PAI) + Gold Zone compression
• Confirm with Trend Score weakening or flipping
• Use Straddle Area breakout for final trigger
• Optional: enable bar coloring or labels for visual reinforcement
• The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool
4. Additional Note on the Gold Zone
The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram:
• If histogram momentum is weakening, the Gold Zone may precede a downward move.
• If histogram momentum is strengthening, it may signal an upcoming rebound or rally.
Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment.
RISK DISCLAIMER
• This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making.
• Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses.
• Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds.
• All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice.
• Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies.
CHANGELOG
v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Rolling Beta against SPY📈 Pine Script Showcase: Rolling Beta Against SPY
Understanding how your favorite stock or ETF moves in relation to a benchmark like the S&P 500 can offer powerful insights into risk and exposure. This script calculates and visualizes the rolling beta of any asset versus the SPY ETF (which tracks the S&P 500).
🧠 What Is Beta?
Beta measures the sensitivity of an asset's returns to movements in the broader market. A beta of:
- 1.0 means the asset moves in lockstep with SPY,
- >1.0 indicates higher volatility than the market,
- <1.0 implies lower volatility or possible defensive behavior,
- <0 suggests inverse correlation (e.g., hedging instruments).
🧮 How It Works
This script computes rolling beta over a user-defined window (default = 60 periods) using classic linear regression math:
- Calculates daily returns for both the asset and SPY.
- Computes covariance between the two return streams.
- Divides by the variance of SPY returns to get beta.
⚙️ Customization
You can adjust the window size to control the smoothing:
- Shorter windows capture recent volatility changes,
- Longer windows give more stable, long-term estimates.
📊 Visual Output
The script plots the beta series dynamically, allowing you to observe how your asset’s correlation to SPY evolves over time. This is especially useful in regime-change environments or during major macroeconomic shifts.
💡 Use Cases
- Portfolio construction: Understand how your assets co-move with the market.
- Risk management: Detect when beta spikes—potentially signaling higher market sensitivity.
- Market timing: Use beta shifts to infer changing investor sentiment or market structure.
📌 Pro Tip: Combine this rolling beta with volatility, Sharpe ratio, or correlation tracking for a more robust factor-based analysis.
Ready to add a layer of quantitative insight to your chart? Add the script to your watchlist and start analyzing your favorite tickers against SPY today!
PG Mean revision price to vwma and MAsHere's a concise breakdown for your users:
- Selection of Moving Average Type:- Choose VWMA, EMA, or SMA, along with the source (e.g., closing price) and length for the calculation.
- Price-MA Difference Calculation:- Calculates the difference between the closing price and the selected moving average.
- Additional Moving Averages:- Applies three customizable moving averages (MA1, MA2, MA3) to the price-MA difference.
- Dynamic Plotting:- Plots the price-MA difference in red, and overlays the moving averages (blue, orange, purple). MA1 can be dynamically colored red/green based on its trend.
- Zero Reference Line:- Includes a horizontal line at zero for easy visual reference.
This tool helps analyze price trends and deviations for better trading decisions!
Bullish Bearish Move Forecast with RSI & Volume Confirmation🎯 Purpose
This strategy is designed to generate high-confidence long and short entries by combining:
Trend confirmation from moving averages
Momentum via MACD-like divergence
Stochastic oscillator conditions
Optional filters: RSI and Volume
⚙️ How It Works
✅ Trend Detection:
Uses 3 Simple Moving Averages (10, 30, 100 periods)
Looks for price crossing above (bullish) or below (bearish)
✅ Momentum Signal:
A custom MACD-style crossover of medians identifies momentum shifts
✅ Stochastic Confirmation:
Confirms entries when the market is emerging from oversold (for longs) or overbought (for shorts)
✅ Signal Agreement:
Each of the 3 components gives a +1 or -1
Entry only occurs if all 3 agree (i.e., total score = +3 or -3)
✅ Additional Filters (Toggleable):
RSI: Must be > 50 for long, < 50 for short (default = ON)
Volume: Volume must be greater than its 20-period average (default = ON)
🟢 Long Entry Requirements
All 3 core signals align bullishly
RSI filter passes (if enabled)
Volume filter passes (if enabled)
No recent long signal on previous bar
🔴 Short Entry Requirements
All 3 core signals align bearishly
RSI < 50 and high volume (if filters enabled)
No recent short signal on previous bar
💼 Backtesting & Risk Management
✅ Customizable Settings
Go to settings (⚙️ icon in the strategy pane):
Take Profit (%) – Default: 3%
Stop Loss (%) – Default: 2%
Toggle RSI and Volume filters on/off
✅ Built-in Trade Logic
Longs exit at +TP or -SL
Shorts exit at -TP or +SL
📊 Visual Features
Green “LONG” labels below bars
Red “SHORT” labels above bars
Triangle markers indicate entry candles
🧪 How to Use in TradingView
Click on the Pine Editor tab
Paste the script and click Add to Chart
Go to the Strategy Tester tab to view performance
Use the gear icon ⚙️ to customize parameters
Toggle filters and adjust TP/SL for optimization
Best Fit Linear Regression with StdDev BandsBest Fit Linear Regression with Standard Deviation Bands
The Best Fit Linear Regression with StdDev Bands is a custom TradingView indicator designed to analyze price trends and volatility over a specified number of bars. It plots a linear regression line representing the best fit for the selected price data, accompanied by optional standard deviation bands to visualize price dispersion.
📈 Key Features
Linear Regression Line: Calculates the best-fit line over a user-defined number of bars, providing a clear visualization of the prevailing price trend.
TradingView
Standard Deviation Bands: Optional upper and lower bands set at a multiple of the standard deviation from the regression line, indicating potential support and resistance levels.
Price Source Selection: Choose between using the closing price or the midpoint (average of high and low) for calculations.
Weighting Options: Apply True Range weighting to emphasize periods of higher volatility in the regression calculation.
Trend Strength Indicator: Displays a normalized strength value between -1 and 1, indicating the direction and magnitude of the trend.
Customizable Appearance: Adjust line color, width, label position, and background color to suit your preferences.
Extendable Lines: Option to extend the regression and standard deviation lines beyond the visible bars for projection purposes.
⚙️ Input Parameters
Bars to Analyze: Number of bars to include in the regression calculation (default: 100).
Price Value: Select "Close" or "Midpoint" as the data source for calculations.
Weighting Method: Choose between "None" or "True Range" weighting.
Line Color & Width: Customize the color and thickness of the regression line.
Label Position: Place the informational label at the start, center, or end of the regression line.
Label Background Color: Set the background color for the informational label.
Extend Line Beyond Visible Bars: Option to project the regression line into future bars.
Show Standard Deviation Bands: Toggle the visibility of the standard deviation bands.
Standard Deviation Multiplier: Set the multiplier for the standard deviation bands (default: 1.0).
StdDev Bands Color: Customize the color and transparency of the standard deviation bands.
🧮 How It Works
Data Collection: Gathers price data based on the selected source (Close or Midpoint) over the specified number of bars.
Weighting (Optional): Applies True Range weighting if selected, giving more importance to bars with higher volatility.
Regression Calculation: Computes the slope and intercept of the best-fit line using the least squares method.
Standard Deviation: Calculates the standard deviation of the price data from the regression line to determine the dispersion.
Plotting: Draws the regression line and, if enabled, the upper and lower standard deviation bands.
Labeling: Displays a label indicating the trend direction (Bullish, Bearish, or Neutral), strength percentage, and standard deviation value.
📊 Interpretation
Trend Direction: The slope of the regression line indicates the trend direction.
Trend Strength: The normalized strength value provides insight into the magnitude of the trend.
Price Position: Prices near or beyond the standard deviation bands may indicate overbought or oversold conditions.
TradingView
🛠️ Use Cases
Trend Analysis: Identify and confirm the direction and strength of market trends.
Volatility Assessment: Gauge market volatility through the width of the standard deviation bands.
Support and Resistance: Use the standard deviation bands to identify potential support and resistance levels.
Trade Timing: Assist in determining optimal entry and exit points based on price interaction with the regression line and bands.
This indicator is particularly useful for traders seeking a statistical approach to trend analysis, offering customizable options to tailor the tool to various trading strategies and preferences.
Auto Support Resistance Channels [TradingFinder] Top/Down Signal🔵 Introduction
In technical analysis, a price channel is one of the most widely used tools for identifying and tracking price trends. A price channel consists of two parallel trendlines, typically drawn from swing highs (resistance) and swing lows (support). These lines define dynamic support and resistance zones and provide a clear framework for interpreting price fluctuations.
Drawing a channel on a price chart allows the analyst to more precisely identify entry points, exit levels, take-profit zones, and stop-loss areas based on how the price behaves within the boundaries of the channel.
Price channels in technical analysis are generally categorized into three types: upward channels with a positive slope, downward channels with a negative slope, and horizontal (range-bound) channels with near-zero slope. Each type offers unique insights into market behavior depending on the price structure and prevailing trend.
Structurally, channels can be formed using either minor or major pivot points. A major channel typically reflects a stronger, more reliable structure that appears on higher timeframes, whereas a minor channel often captures short-term fluctuations or corrective movements within a larger trend.
For instance, a major downward channel may indicate sustained selling pressure across the market, while a minor upward channel could represent a temporary pullback within a broader bearish trend.
The validity of a price channel depends on several factors, including the number of price touches on the channel lines, the symmetry and parallelism of the trendlines, the duration of price movement within the channel, and price behavior around the median line.
When a price channel is broken, it is generally expected that the price will move in the breakout direction by at least the width of the channel. This makes price channels especially useful in breakout analysis.
In the following sections, we will explore the different types of price channels, how to draw them accurately, the structural differences between minor and major channels, and key trade interpretations when price interacts with channel boundaries.
Up Channel :
Down Channel :
🔵 How to Use
A price channel is a practical tool in technical analysis for identifying areas of support, resistance, trend direction, and potential breakout zones. The structure consists of two parallel trendlines within which price fluctuates.
Traders use the relative position of price within the channel to make informed trading decisions. The two primary strategies include range-based trades (buying low, selling high) and breakout trades (entering when price exits the channel).
🟣 Up Channel
In an upward channel, price moves within a positively sloped range. The lower trendline acts as dynamic support, while the upper trendline serves as dynamic resistance. A common strategy involves buying near the lower support and taking profit or selling near the upper resistance.
If price breaks below the lower trendline with strong volume or a decisive candle, it can signal a potential trend reversal. Channels constructed from major pivots generally reflect dominant uptrends, while those based on minor pivots are often corrective structures within a broader bearish movement.
🟣 Down Channel
In a downward channel, price moves between two negatively sloped lines. The upper trendline functions as resistance, and the lower trendline as support. Ideal entry for short trades occurs near the upper boundary, especially when confirmed by bearish price action or a resistance level.
Exit targets are typically located near the lower support. If the upper boundary is broken to the upside, it may be an early sign of a bullish trend reversal. Like upward channels, a major down channel represents broader selling pressure, while a minor one may indicate a brief retracement in a bullish move.
🟣 Range Channel
A horizontal or range-bound channel is characterized by price oscillating between two nearly flat lines. This type of channel typically appears during sideways markets or periods of consolidation.
Traders often buy near the lower boundary and sell near the upper boundary to take advantage of contained volatility. However, fake breakouts are more frequent in range-bound structures, so it is important to wait for confirmation through candlestick signals and volume. A confirmed breakout beyond the channel boundaries can justify entering a trade in the direction of the breakout.
🔵 Settings
Pivot Period :This parameter defines how sensitive the channel detection is. A higher value causes the algorithm to identify major pivot points, resulting in broader and longer-term channels. Lower values focus on minor pivots and create tighter, short-term channels.
🔔 Alerts
Alert Configuration :
Enable or disable the full alert system
Set a custom alert name
Choose the alert frequency: every time, once per bar, or on bar close
Define the time zone for alert timestamps (e.g., UTC)
Channel Alert Types :
Each channel type (Major/Minor, Internal/External, Up/Down) supports two alert types :
Break Alert : Triggered when price breaks above or below the channel boundaries
React Alert : Triggered when price touches and reacts (bounces) off the channel boundary
🎨 Display Settings
For each of the eight channel types, you can customize:
Visibility : show or hide the channel
Auto-delete previous channels when new ones are drawn
Style : line color, thickness, type (solid, dashed, dotted), extension (right only, both sides)
🔵 Conclusion
The price channel is a foundational structure in technical analysis that enables traders to analyze price movement, identify dynamic support and resistance zones, and locate potential entry and exit points with greater precision.
When constructed properly using minor or major pivots, a price channel offers a consistent and intuitive framework for interpreting market behavior—often simpler and more visually clear than many other technical tools.
Understanding the differences between upward, downward, and range-bound channels—as well as recognizing the distinctions between minor and major structures—is critical for selecting the right trading strategy. Upward channels tend to generate buying opportunities, downward channels prioritize short setups, and horizontal channels provide setups for both mean-reversion and breakout trades.
Ultimately, the reliability of a price channel depends on various factors such as the number of touchpoints, the duration of the channel, the parallelism of the lines, and how the price reacts to the median line.
By taking these factors into account, an experienced analyst can effectively use price channels as a powerful tool for trend forecasting and precise trade execution. Although conceptually simple, successful application of price channels requires practice, pattern recognition, and the ability to filter out market noise.
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!
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
High Threshold Volume BarThis indicator appears to identify significant price bars with high probability trading opportunities based on size, volume, and trend strength. Let me break down how it works and explain each parameter to help you understand when to use it for trade entries.
Core Concept
The indicator identifies "significant" price bars that stand out from normal market behavior by measuring:
Bar size (either full range or body)
Volume (optional)
Statistical significance compared to recent history
Trend context
Bar Color Meanings
Color 0 (Bright Blue): Represents high probability bullish signals. These appear when you have significant bars with upward price movement (close > open) that meet all criteria and have reached the minimum consecutive bar threshold.
Color 1 (Bright Pink): Represents high probability bearish signals. These appear when you have significant bars with downward price movement (close < open) that meet all criteria and have reached the minimum consecutive bar threshold.
Color 2 (Dark Teal): Represents significant bullish bars that meet the threshold criteria but haven't yet reached the minimum consecutive count requirement. These are potential early signals.
Color 3 (Dark Burgundy): Represents significant bearish bars that meet the threshold criteria but haven't yet reached the minimum consecutive count requirement. These are potential early signals.
Color 4 (Light Green): Represents normal bullish bars (close > open) that don't meet the significance threshold. These are standard market activity.
Color 5 (Light Red): Represents normal bearish bars (close < open) that don't meet the significance threshold. These are standard market activity.
When multiple criteria align, the indicator highlights potential high probability trading opportunities.
How to Use for Trade Entries
When to Consider Entries
The indicator is most effective when:
(Image mentioned bottom right side of the chart)
Active Signal: The info table shows "ACTIVE" status
High Percentile: The current bar size is in the top 20% of recent bars (>80%)
Consecutive Count: At least your minimum consecutive significant bars have occurred
Strong Trend: Trend strength shows above 20%
Signal Types
The indicator classifies potential setups as:
Bullish Continuation: Strong upward move in an existing uptrend
Bearish Continuation: Strong downward move in an existing downtrend
Bullish Reversal: Strong upward move against a previous downtrend
Bearish Reversal: Strong downward move against a previous uptrend
Trading Approach
For Trend Following:
Enter on bullish_cont signals in uptrends
Enter on bearish_cont signals in downtrends
Use when volatility regime is "NORMAL" or "HIGH"
For Reversal Trading:
Look for bullish_rev signals at support levels
Look for bearish_rev signals at resistance levels
Particularly powerful when Size Percentile is >90%
For Volatility Expansion:
Enter when transitioning from "LOW" to "NORMAL" volatility
Consecutive count of 2-3 often indicates the start of a new move
Visual Signals(AS mentioned in image)
Bar Colors: Bright blue (bullish) or bright pink (bearish) for high probability signals
Background: Blue or pink highlights during significant zones
Table Data: Provides real-time context for the current bar
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.
Mvp Wave Sniper v1.0Credits and Acknowledgments
This strategy brings together several technical indicators and analytical methods that many traders rely on. In particular, it leverages:
ATR (Average True Range):
A volatility indicator popularized by J. Welles Wilder, Sr. and widely implemented as part of TradingView’s built-in functions.
SMA (Simple Moving Average) and Standard Deviation-based Channels:
Fundamental tools for trend analysis and risk management, available within TradingView’s powerful charting library.
MFI (Money Flow Index) and OBV (On-Balance Volume):
Volume-based indicators that are part of TradingView’s comprehensive suite and have been refined by numerous community contributors.
Higher Timeframe Analysis & Custom Filters:
The use of multiple timeframe validations and filter criteria (e.g., using three different SMAs) demonstrates advanced methods shared by authors throughout the TradingView community.
Wave Filter Explanation:
A key component of this strategy is its integrated wave filter, which is designed to capture market movements in a way that resembles wave patterns—an idea inspired by the Elliott Wave theory. In the script, the wave logic operates by comparing the current price relative to a dynamically calculated trend channel derived from a moving average coupled with a standard deviation multiplier. When enabled (via the useWaveLogic input), the filter checks that the price is positioned correctly above (for a bullish signal) or below (for a bearish signal) this trend indicator. Additionally, if the Money Flow Index is activated, its condition (above or below a threshold of 50) provides extra confirmation. This composite filtering ensures that the strategy only takes trades when the market behavior aligns with the expected “wave” conditions, balancing signal precision with practical risk management—all within the limitations of PineScript. It is important to note that these wave decisions/logic are produced solely by the publishing TradingView author, TheCryptoMvp.
In the settings of this backtest, we have made it take into account a cost simulation of 0.055% a side fees and 5 ticks slippage to produce a realistic trading environment, where 5x leverage is used optionally creating a margin ratio of 20%.
The choice of parameters by default in this script serve as to show what my (TheCryptoMvp) own backtesting results have led to, showcasing the optimum settings for this script. The default settings are generally meant for more volatile markets, in particular, Dogecoin.
In the parameters for the backtest, 85% of equity is used with leverage of 5x / 20% Margin Ratio for longs/shorts. Recommended to use leverage when implementing usage of this script. That being said, this is not financial advice and you are free to do your own research. Please note that the 85% of equity used can be any number, adhering to your personal risk tolerance.
Even though the backtest and cost simulation show impressive results, caution is advised. As with any strategy, it is logical to remain cautious. Please maintain all communications with TheCryptoMvp from within TradingView. It is also worth noting that the backtest simulates reinvestment of the 85% equity at all times, producing volatile results where additional caution is warranted.
Special thanks and credit are extended to the original authors and developers within the TradingView platform whose work has made these indicators both accessible and highly customizable to traders worldwide. Their contributions have been instrumental in creating innovative trading strategies like the Mvp Wave Sniper.
Changelog 15/04/2025: Revamped Script, Added Support for webhooks etc via closing trades before opening trades- recalculation per tick. Changed the default timeframe to 5minutes.
I will be constantly looking for better settings on this script, which will be found in sub-sections of the scripts page here on tradingview, encourage users to share alpha and be welcomed in a well rounded respectful tradingview community.
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.
Market Exposure Zones – Multi-Market📊 Market Exposure Zones – Multi-Market 📊
This indicator visually displays market exposure zones based on the relationship between key moving averages (10, 20, 50, and 200 SMA). It dynamically adapts to your chart’s exchange:
✅ NSE: Tracks CNX500
✅ NASDAQ/NYSE/AMEX: Displays NASDAQ and SPY
✅ ASX: Displays XJO
Color-coded exposure levels help guide risk positioning:
🔴 5% – Weak trend: 10MA < 20MA < 200MA
🌸 10–30% – Early recovery phase
🟠 30–70% – Strengthening momentum
🟢 70–100% – Full trend confirmation
Useful for position sizing, market timing, and understanding trend structure.
⚠️ Disclaimer:
This tool is for informational and educational purposes only. It does not constitute financial advice. Please use it at your own discretion and manage your risk accordingly.
AI Trading Signals - Crypto, Stocks & Forex🧠 AI Trading Signals – Multi-Asset Toolkit for Crypto, Stocks & Forex
The AI Trading Signals Indicator is a closed-source, invite-only script built for discretionary and swing traders seeking confirmation-based signals across multiple timeframes and markets.
This indicator provides actionable insights through a modular signal engine that supports:
Buy & Sell confirmation signals
Long & Short entry and trailing exit signals
Breakout continuation detection (LC / SC logic)
Take Profit and Stop Loss overlays
Bitcoin macro market cycle alerts (Top, Bull/Bear Season)
🔍 Core Logic Overview
The script uses layered logic to filter and confirm price action based on multiple classic indicators - enhanced through proprietary signal sequencing and visual filtering. All signals are based on confirmed candle closes and do not repaint.
EMA cross/stacking (20/50/200) to define directional bias
RSI + VWAP fusion to refine overbought/oversold momentum triggers
Trend channel logic to dynamically track range expansion and potential reversals
LC (Long Continuation) and SC (Short Continuation) signals for structural breakouts
Macro BTC signals using 111-day and 350-day SMAs for cycle tracking
Optional multi-timeframe logic (e.g., only trigger 15m Long when 4H Buy is active)
🎯 Strategy Modes
Users can choose a strategy from the “Inputs” tab based on their approach and market conditions.
Buy & Sell – All base signals shown (directional with TP overlays)
Long Positions Only – Filters to show bullish setups and Long exit logic
Short Positions Only – Bearish setups with Short exits and TP points
Breakout Strategy – Continuation logic using LC/SC with momentum confirmation
BTC Cycle Strategy – Signals based on macro market shifts in BTCUSD
⚙️ Customization & Dashboard Features
This script is designed to be clean and flexible, with optional overlays and control over signal visibility in the “Style” tab.
Show/hide specific labels (Buy, Sell, TP, SL, Exit Long, Exit Short, etc.)
Optional Multi-Timeframe Signal Dashboard for 3m, 15m, 45m, 4H, and 1D signals
Take Profit and Stop Loss levels auto-plotted on screen
Compatible across Crypto, Stocks, and Forex markets
🧠 What Makes This Script Unique
This script is not a simple mashup - it’s an original, closed-source signal engine custom-built to streamline discretionary trading.
Layered logic built from the ground up (no reused or open-source code)
Multi-timeframe filtering encourages signal confirmation and cleaner entries
Breakout signals paired with trailing stop logic to improve exit management
Macro cycle signals specific to BTCUSD (Bull/Bear Season, BTC Top logic)
Visualization built for clarity — not crowding
📌 How to Use It
Select a strategy from the Inputs tab
Toggle visual signal layers in the Style tab
Use the MTF Signal Dashboard to spot cross-timeframe alignment
Set alerts for any signal type based on your trading strategy
Use in conjunction with your own technical or risk model for added structure
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or guarantee results. Trading carries risk - use at your own discretion and consult with a licensed financial professional if needed.
