Price Action Breakout – CALL/PUT AlertsThis strategy generates CALL or PUT alerts based on price breakouts confirmed by EMA and volume filters.
🔍 Breakout Logic
📈 CALL Alert (Bullish Breakout):
Price closes above EMA
Price breaks above previous high
Volume is above average × multiplier
📉 PUT Alert (Bearish Breakout):
Price closes below EMA
Price breaks below previous low
Volume is above average × multiplier
🎯 Alert Structure
CALL 📈 / PUT 📉
Entry Price
Take Profit (TP) – Based on risk/reward ratio
Stop Loss (SL) – Based on percentage distance from entry
📊 Chart Elements
Labels on breakout candle with full alert info
Horizontal lines for TP and SL levels
Works on any timeframe (e.g., 15min for intraday)
✅ Use Case
Ideal for options traders, scalpers, and automated alerts
趨勢分析
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs.
- The Mathematical Foundation: Pointwise Mutual Information
Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context:
Event A: Volume spikes occurring (high trading activity)
Event B: Price being at specific levels
The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B)))
Where:
P(A,B) = Probability of volume spikes occurring at specific price levels
P(A) = Probability of volume spikes occurring anywhere
P(B) = Probability of price being at specific levels
High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones.
- Why PMI Outperforms Traditional Methods
Subjective interpretation: What one trader sees as significant, another might ignore
Confirmation bias: Tendency to see patterns that confirm existing beliefs
Inconsistent criteria: No standardized definition of "significant" volume or price action
Static analysis: Doesn't adapt to changing market conditions
No strength measurement: Can't quantify how "strong" a level truly is
PMI Advantages:
✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork
✅ Statistical Rigor: Levels backed by information theory and probability
✅ Strength Scoring: PMI scores rank levels by statistical significance
✅ Adaptive: Automatically adjusts to different market volatility regimes
✅ Eliminates Bias: Computer-calculated, removing human interpretation errors
✅ Market Structure Aware: Reveals the underlying order flow concentrations
- How It Works
Data Processing Pipeline:
Volume Analysis: Identifies volume spikes using configurable thresholds
Price Binning: Divides price range into discrete levels for analysis
Co-occurrence Calculation: Measures how often volume spikes happen at each price level
PMI Computation: Calculates statistical significance for each price level
Level Filtering: Shows only levels exceeding minimum PMI thresholds
Dynamic Updates: Refreshes levels periodically while maintaining historical traces
Visual System:
Current Levels: Bright, thick lines with PMI scores - your actionable levels
Historical Traces: Faded previous levels showing market structure evolution
Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted)
Color Coding: Green for support, red for resistance
Info Table: Real-time display of strongest levels with scores
- Indicator Settings:
Core Parameters
Lookback Period (Default: 200)
Lower (50-100): More responsive to recent price action, catches short-term levels
Higher (300-500): Focuses on major historical levels, more stable but less responsive
Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500)
Volume Spike Threshold (Default: 1.5)
Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected
Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals
Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3)
Price Bins (Default: 50)
Lower (20-30): Broader price zones, less precise but captures wider areas
Higher (70-100): More granular levels, precise but may be overly specific
Volatility dependent: High volatility assets benefit from more bins (70+)
Minimum PMI Score (Default: 0.5)
Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view
Higher (1.0-2.0): Only statistically strong levels, cleaner chart
Progressive filtering: Start with 0.5, increase if too cluttered
Max Levels to Show (Default: 8)
Fewer (3-5): Clean chart focusing on strongest levels only
More (10-15): Comprehensive view but may clutter chart
Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12)
Historical Tracking Settings
Update Frequency (Default: 20 bars)
Lower (5-10): More frequent updates, captures rapid market changes
Higher (50-100): Less frequent updates, focuses on major structural shifts
Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+)
Show Historical Levels (Default: True)
Enables the "breadcrumb trail" effect showing evolution of support/resistance
Disable for cleaner charts focusing only on current levels
Max Historical Marks (Default: 50)
Lower (20-30): Less memory usage, shorter history
Higher (100-200): Longer historical context but more resource intensive
Fade Strength (Default: 0.8)
Lower (0.5-0.6): Historical levels more visible
Higher (0.9-0.95): Historical levels very subtle
Visual Settings
Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level
- Most Effective Usage Strategies
For Day Trading:
Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15
Use PMI levels as bounce/rejection points for scalp entries
Higher PMI scores (>1.5) offer better probability setups
Watch for volume spike confirmations at levels
For Swing Trading:
Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30
Enter on pullbacks to high PMI support levels
Target next resistance level with PMI score >1.0
Hold through minor levels, exit at major PMI levels
For Position Trading:
Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+
Focus on PMI scores >2.0 for major structural levels
Use for portfolio entry/exit decisions
Combine with fundamental analysis for timing
- Trading Applications:
Entry Strategies:
PMI Bounce Trades
Price approaches high PMI support level (>1.0)
Wait for volume spike confirmation (orange triangles)
Enter long on bullish price action at the level
Stop loss just below the PMI level
Target: Next PMI resistance level
PMI Breakout Trades
Price consolidates near high PMI level
Volume increases (watch for orange triangles)
Enter on decisive break with volume
Previous resistance becomes new support
Target: Next major PMI level
PMI Rejection Trades
Price approaches PMI resistance with momentum
Watch for rejection signals and volume spikes
Enter short on failure to break through
Stop above the PMI level
Target: Next PMI support level
Risk Management:
Stop Loss Placement
Place stops 0.1-0.5% beyond PMI levels (adjust for volatility)
Higher PMI scores warrant tighter stops
Use ATR-based stops for volatile assets
Position Sizing
Larger positions at PMI levels >2.0 (highest conviction)
Smaller positions at PMI levels 0.5-1.0 (lower conviction)
Scale out at multiple PMI targets
- Key Warning Signs & What to Watch For
Red Flags:
🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading
🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale
🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning
🚨 Outdated Levels: Historical traces are reference only, not tradeable
Optimization Tips:
✅ Regular Recalibration: Adjust parameters monthly based on market regime changes
✅ Volume Context: Always check for recent volume activity at PMI levels
✅ Multiple Timeframes: Confirm PMI levels across different timeframes
✅ Market Conditions: Higher thresholds during high volatility periods
Interpreting PMI Scores
PMI Score Ranges:
0.5-1.0: Moderate statistical significance, proceed with caution
1.0-1.5: Good significance, reliable for most trading strategies
1.5-2.0: Strong significance, high-confidence trade setups
2.0+: Very strong significance, institutional-grade levels
Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool)
📄 Description:
This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure.
Features:
• Draws a box around the first 18 bars of the RTH session
• Displays the total range as a label (optional)
• Fully customizable box color and transparency
Intended Use:
This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session.
Tight opening range may suggest range expansion
Wide opening range may indicate reduced movement or reversal risk
This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
Top 10 NASDAQ Resilience + DD BandsTracks the top 10 weighted stocks in NQ and has DD bands from RS included.
Relative StrengthDescription:
This indicator provides a simplified yet powerful method for measuring a stock's momentum based on its proximity to its recent high. It is a direct implementation of a trading concept discussed in a lecture from the New York Institute of Finance.
Core Concept
The underlying theory, supported by academic research, is that a stock making a new high is one of the most bullish signals possible. Such stocks have a statistical tendency to continue making new highs in the near term.
Instead of requiring complex relative strength calculations against a universe of stocks, this indicator uses a simple and elegant ratio to act as a proxy for momentum:
Indicator Value = Current Close / Highest High of Lookback Period
A value approaching 1.0 indicates the stock is strong and nearing a new high. A value at 1.0 means a new high has just been made.
How to Use This Indicator
The indicator consists of two primary components:
RS Line (Teal): The core momentum calculation (Close / High).
Signal MA (Orange): A moving average of the NHRS Line, which acts as the trigger for signals.
The signals are generated based on the crossover between these two lines:
BUY Signal: When the RS Line crosses ABOVE its moving average. This suggests that short-term momentum is accelerating and a new uptrend may be starting. The background will turn green.
SELL Signal: When the RS Line crosses BELOW its moving average. This indicates that momentum is fading and it may be prudent to exit the position to avoid a decline. The background will turn red.
Indicator Settings
You can customize the indicator to fit your trading style and the timeframe you are analyzing:
High Lookback Period: Choose the period for the "Highest High" calculation. Options range from 1 Month to 12 Months (52 weeks), allowing you to measure short-term or long-term strength.
Moving Average Length: Adjust the length of the signal line's moving average. The lecturer defaults to 26 weeks for a six-month view.
Moving Average Type: Select the type of moving average for the signal line (SMA, EMA, WMA, HMA).
Credits and Inspiration
Proper credit is essential. This script is a practical application of a concept that builds upon foundational academic work.
The core idea that a stock's proximity to its 52-week high is an investable anomaly was detailed in the 2004 Journal of Finance paper:
"The 52 Week High and Momentum Investing" by Thomas J. George and Chuan-Yang Hwang.
The lecturer's contribution, which this script implements, was to simplify this concept into an actionable trading tool by applying a moving average crossover to generate clear and objective buy and sell signals.
Disclaimer: This tool is for educational and informational purposes only. It is not financial advice. All trading involves risk, and you should always perform your own research and backtesting before making any trading decisions.
Adaptive Causal Wavelet Trend FilterThe Adaptive Causal Wavelet Trend Filter is a technical indicator implementing causal approximations of wavelet transform properties for better trend detection with adaptive volatility response.
The Adaptive Causal Wavelet Trend Filter (ACWTF) applies mathematical principles derived from wavelet analysis to financial time series, providing robust trend identification with minimal lag. Unlike conventional moving averages, it preserves significant price movements while filtering market noise through signal processing that i describe below.
I was inspired to build this indicator after reading " Wavelet-Based Trend Identification in Financial Time Series " by In, F., & Kim, S. 2013 and reading about Mexican Hat wavelet filters.
The ACWTF maintains optimal performance across varying market regimes without requiring parameter adjustments by adapting filter characteristics to current volatility conditions.
Mathematical Foundation
Inspired by the Mexican Hat wavelet (Ricker wavelet), this indicator implements causal approximations of wavelet filters optimized for real-time financial analysis. The multi-resolution approach identifies features at different scales and the adaptive component dynamically adjusts filtering characteristics based on local volatility measurements.
Key mathematical properties include:
Non-linear frequency response adaptation
Edge-preserving signal extraction
Scale-space analysis through dual filter implementation
Volatility-dependent coefficient adjustment, which I love
Filter Methods
Adaptive: Implements a volatility-weighted combination of multiple filter types to optimize the time-frequency resolution trade-off
Hull: Provides a causal approximation of wavelet edge detection properties with forward-projection characteristics
VWMA: Incorporates volume information into the filtering process for enhanced signal detection
EMA Cascade: Creates a multi-pole filter structure that approximates certain wavelet scaling properties
Suggestion: try all as they will provide slightly different signals. Try also different time-frames.
Practical Applications
Trend Direction Identification: Clear visual trend direction with reduced noise and lag
Regime Change Detection: Early identification of significant trend reversals
Market Condition Analysis: Integrated volatility metrics provide context for current market behavior
Multi-timeframe Confirmation: Alignment between primary and secondary filters offers additional confirmation
Entry/Exit Timing: Filter crossovers and trend changes provide potential trading signals
The comprehensive information panel provides:
Current filter method and trend state
Trend alignment between timeframes
Real-time volatility assessment
Price position relative to filter
Overall trading bias based on multiple factors
Implementation Notes
Log returns option provides improved statistical properties for financial time series
Primary and secondary filter lengths can be adjusted to optimize for specific instruments and timeframes
The indicator performs particularly well during trend transitions and regime changes
The indicator reduces the need for using additional indicators to check trend reversion
Range Breakout [sgbpulse]Range Breakout
1. Overview
The "Range Breakout " indicator is a powerful tool designed to identify and visually display price ranges on your chart using pivot points. It dynamically draws two distinct boxes – an External Range and an Internal Range – helping traders pinpoint potential support and resistance zones. Beyond its visual representation, the indicator offers a comprehensive set of 12 unique breakout alerts, providing real-time notifications for significant price movements outside these defined ranges. Additionally, it integrates RSI and MFI metrics for momentum confirmation.
2. How It Works
The indicator operates by identifying pivot points based on user-defined "left" and "right" bar lengths. A high pivot is a bar with a specified number of lower highs both to its left and right, and similarly for a low pivot.
External Range: Calculated using longer pivot lengths (default: 15 bars left, 6 bars right). This range represents broader, more significant price consolidation areas.
Internal Range: Calculated using shorter pivot lengths (default: 4 bars left, 3 bars right). This range captures tighter, more immediate price consolidations within the broader trend.
The External Range will always be greater than or equal to the Internal Range, as it's based on a wider historical context. Both ranges are displayed as transparent boxes on your chart, dynamically adjusting as new pivots are formed.
3. Key Features and Settings
Customizable Pivot Lengths:
External Range (Left/Right Bars): Adjust sensitivity for identifying the broader price range. Longer lengths lead to more stable, but less frequent, range updates.
Internal Range (Left/Right Bars): Adjust sensitivity for the tighter, more immediate price range.
Tool Tips: Minimum 6 bars for the External Range, and minimum 2 bars for the Internal Range.
Customizable Range Colors: Easily change the background colors of the External and Internal Range boxes to match your chart's aesthetic.
Dynamic Range Display: The indicator automatically updates the range boxes as new pivot highs and lows are formed, always presenting the most current valid ranges.
RSI / MFI Settings:
Timeframe Source: Select the timeframe for RSI and MFI calculation.
- Chart: Calculation based on the current chart timeframe.
- Daily: Always calculated based on the daily ("D") timeframe, even if the chart is on a lower timeframe.
RSI Length: Period length for RSI calculation (default: 14).
RSI Overbought Level: Overbought level for RSI (default: 70.0).
RSI Oversold Level: Oversold level for RSI (default: 30.0).
MFI Length: Period length for MFI calculation (default: 14).
MFI Overbought Level: Overbought level for MFI (default: 80.0).
MFI Oversold Level: Oversold level for MFI (default: 20.0).
4. Synergy of Ranges & Breakout Strength
The interaction between the External and Internal Ranges provides deep insights into price movement and breakout strength:
Immediate Direction: The movement of the Internal Range (up or down) indicates the short-term directional bias within the broader framework of the External Range.
Strength Confirmation: A breakout of the External Range, followed by a breakout of the Internal Range, confirms the strength of the move and increases confidence in the breakout.
Strong Momentum ("Leaving" Ranges Behind): When price breaks out with exceptionally strong momentum, it continues to move aggressively and does not immediately form new pivots. In such situations, the existing ranges (External and Internal) remain in place while the candles "leave them behind." A "Full Candle" breakout, where the entire candle moves past both ranges, indicates a particularly powerful and decisive move.
Momentum (RSI / MFI) as Confirmation:
- RSI (Relative Strength Index): Measures the speed and change of price movements. Extreme values (above 70 or below 30) indicate overbought/oversold conditions respectively, confirming strong momentum in a breakout.
- MFI (Money Flow Index): Similar to RSI but incorporates volume. Extreme values (above 80 or below 20) indicate strong money flow in/out, reinforcing breakout confirmation.
- Importance of Confirmation: If a breakout occurs but momentum indicators do not confirm it (for example, an upside breakout while RSI is declining), this could signal weakness in the move and the risk of a false breakout (Fakeout).
5. Visuals
The indicator provides clear visual representations on the chart:
Range Boxes:
Two dynamic boxes are drawn on the chart: one for the External Range and one for the Internal Range.
These boxes update continuously, displaying the current range boundaries based on the latest pivots. They provide an immediate visual indication of support and resistance levels.
RSI/MFI Status Labels:
Small text labels appear to the right of the current bar, vertically centered.
They display the status of RSI and MFI: RSI OB (Overbought), RSI OS (Oversold), MFI OB, MFI OS, along with the exact value.
Important: The labels remain on the chart as long as the condition holds (indicator is above/below the level), unlike alerts which mark a singular crossover event.
Plotting of Key Values:
The indicator plots six invisible series on the chart, primarily to allow the user to view the exact numerical values of:
- The upper and lower bounds of the External Range (External High, External Low).
- The upper and lower bounds of the Internal Range (Internal High, Internal Low).
- The calculated RSI and MFI values (RSI, MFI).
These values are accessible for viewing through TradingView's Data Window and also via the Status Line when hovering over the relevant candle. This enables more precise quantitative analysis of range levels and momentum.
6. Comprehensive Breakout Alerts
The "Range Breakout " indicator provides 12 distinct alert conditions for breakouts, allowing you to select the required level of confirmation for each alert. All alerts are triggered only upon a fully confirmed bar close (barstate.isconfirmed) to minimize false signals and ensure reliability.
All breakout alerts are configured to detect a Crossover/Crossunder of the levels, meaning a specific event where the price moves from one side of the range to the other.
External Range Breakout UP
- Close: Price closes above the External Range.
- Real Body: The entire "real body" of the candle (min of open/close prices) closes above the External Range.
- Full Candle: The entire candle (the lowest point of the candle) closes above the External Range.
External Range Breakout DOWN
- Close: Price closes below the External Range.
- Real Body: The entire "real body" of the candle (max of open/close prices) closes below the External Range.
- Full Candle: The entire candle (the highest point of the candle) closes below the External Range.
Internal Range Breakout UP
- Close: Price closes above the Internal Range.
- Real Body: The "real body" of the candle closes above the Internal Range.
- Full Candle: The entire candle closes above the Internal Range.
Internal Range Breakout DOWN
- Close: Price closes below the Internal Range.
- Real Body: The "real body" of the candle closes below the Internal Range.
- Full Candle: The entire candle closes below the Internal Range.
7. Ideal Use Cases
This indicator is ideal for traders who:
Want to clearly identify and monitor price consolidation zones.
Seek confirmation for breakout strategies across various timeframes.
Require reliable and automated alerts for potential entry or exit points based on range expansion.
8. Complementary Indicator
For even more comprehensive market analysis, we highly recommend using this indicator in conjunction with Market Structure Support & Resistance External/Internal & BoS .
This powerful complementary indicator automatically and accurately identifies significant support and resistance levels by locating high and low pivot points, as well as key Pre-Market High/Low levels. Its strength lies in its dynamic adaptability to any timeframe and asset, providing precise and relevant real-time levels while maintaining a clean chart. It also identifies Break of Structure (BoS) to signal potential trend changes or continuations.
Using both indicators together provides a robust framework for identifying defined ranges and potential trend shifts, enabling more informed trading decisions.
View Market Structure Support & Resistance External/Internal & BoS Indicator
9. Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
EMA-Pack MTFEMA-Pack MTF
This TradingView Pine Script defines a custom indicator called "EMA-Pack MTF" that overlays various types of moving averages and Bollinger Bands across multiple timeframes on a chart. It begins by importing the built-in technical analysis library and defining a custom ma function that calculates several types of moving averages (SMA, EMA, TEMA, DEMA, HMA, and ALMA) based on user input. The ema function is the core logic, retrieving market data for the specified timeframe and calculating fast, mid, slow, 50, 100, and 200-period moving averages along with Bollinger Band components (basis, upper, and lower bands). The function adjusts values to the nearest valid price tick and returns them.
User input fields allow customization of timeframes, source data, moving average types, and Bollinger Band parameters. The script calls the ema function for each selected timeframe (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, and 1 day), storing their respective computed values. It then plots the calculated moving averages and Bollinger Band basis lines on the chart, using different colors and line widths to distinguish between them. Some plots are hidden by default (display.none) to reduce chart clutter. This script is useful for multi-timeframe trend analysis using customizable moving averages and Bollinger Bands.
200 EMA, 50 EMA, 21 EMAEMA Indicator 3 in 1 (21,50,200) Why download three individual indicator in you can have all in one.
VDN 5-IFTC Only - TP/SL Sorarak Ayarlanır Strategy Overview:
This is a simple yet powerful reactive entry strategy based on the Inverse Fisher Transform of CCI (IFTC). The system enters a long trade only when the IFTC crosses above -0.5, signaling a potential momentum shift from oversold conditions.
Entry Rule:
- A long position is opened immediately when IFTC crosses above -0.5.
- No additional filters (trend, volume, or confirmation) are applied for faster execution.
Take-Profit and Stop-Loss:
- By default, the strategy uses a Take-Profit of 10 points and a Stop-Loss of 50 points, suitable for instruments like NAS100 with a 0.1 lot size.
- Manual Control Option: You can enable custom TP/SL values by checking the `Use Manual TP/SL` input. This gives you full control over the trade exit levels.
Custom Inputs:
- `Use Manual TP/SL`: When enabled, allows you to input your own TP and SL values.
- If not enabled, the strategy falls back to the default: TP = 10, SL = 50.
Use Cases:
- Works best in low timeframes (e.g., 1m or 5m) for reactive scalping.
- Can be expanded with trend filters or volume conditions.
- Ideal for manual backtesting and rapid-entry scalpers.
Notes:
- No short entries included in this version.
- No trailing stop or breakeven logic (clean and minimal).
- Compatible with any instrument where point-based profit/loss structure makes sense.
Feel free to clone and modify this script for your specific instrument or trade management logic. Feedback and improvements welcome!
YAS GROUPThis script is a powerful combination of Order Blocks (OB), market structure, and liquidity levels. It helps traders easily identify high-probability areas for entries and exits, detect trend shifts (BOS & CHoCH), and highlight strong support/resistance zones. The script is designed for both scalping and swing trading, offering flexibility and precision. Users can adjust OB sensitivity, show or hide structure labels, and customize visual settings to match their style. Alerts are also included for key signals. Perfect for traders looking to read the market like smart money.
YAS V1This advanced "All-in-One" indicator combines the most powerful smart money concepts (SMC), order blocks (OB), fair value gaps (FVG), support & resistance (SR), and liquidity voids, along with entry signals based on EMA and RSI filters.
💡 Key Features:
✅ Order Blocks (OB):
Highlights potential bullish and bearish order blocks to identify strong institutional zones where price might reverse.
✅ Fair Value Gaps (FVG):
Marks price gaps that indicate imbalance and possible zones for retracement or continuation.
✅ Support & Resistance (SR):
Automatically plots dynamic support and resistance levels using pivots, helping you to spot key reaction areas.
✅ Liquidity Voids:
Visualizes potential liquidity gaps or low-volume areas that can act as price magnets.
✅ Buy & Sell Signals:
Generates dynamic BUY and SELL signals based on a combination of EMA trend filters and RSI overbought/oversold levels.
✅ Fully Configurable:
Choose which features to display (OB, FVG, SR, Liquidity Voids, signals).
Adjust EMA and RSI settings to match your strategy.
Control the number of signals (reduce or increase) using a signal sensitivity filter.
⚙️ How it Works:
Trend Filter (EMA):
Price above EMA confirms a bullish environment, below EMA confirms bearish.
RSI Filter:
Signals are validated with RSI to avoid overtrading in ranging markets.
Zones & Gaps:
Institutional concepts (order blocks, gaps) help traders understand supply/demand and price inefficiencies.
🎯 Usage:
Perfect for:
Scalpers looking for intraday turning points.
Swing traders spotting high-probability levels.
Anyone interested in smart money concepts.
🚨 Alerts:
Includes built-in alerts for both BUY and SELL signals so you can react instantly without watching the screen all the time.
💬 Note:
This is a beta version designed to be improved with community feedback. Use it as a guide, and always confirm signals with your own analysis and risk management.
🔥 Ready to take your trading to the next level? Add this indicator to your chart, customize the settings, and start seeing the market like smart money!
VDN 6 - Dual MACD Strategy (TP:20 / SL:10)This strategy uses a dual MACD crossover confirmation system with two different parameter sets:
• MACD(12, 26, 8) – Standard
• MACD(13, 34, 9) – Fibonacci-based
A trade is opened only when both MACDs give the same signal (buy or sell) simultaneously.
Take Profit is fixed at 20 points and Stop Loss at 10 points per trade.
This setup is optimized for scalping or short-term trend continuation. Lot size is set to 1 by default.
BTC Breakout Bot (TP/SL + Alerts)📈 BTC Breakout Bot (TP/SL + Alerts)
This strategy is designed for Bitcoin (BTC/USDT) on breakout trades. It detects price breakouts using recent highs and lows, and automatically handles:
✅ Long and short entries
✅ Take Profit and Stop Loss levels
✅ Built-in alert system (compatible with Telegram/webhook)
✅ Customizable lookback, TP, and SL settings
Strategy logic:
Enters a long position when price breaks above the highest high of the last N candles.
Enters a short position when price breaks below the lowest low of the last N candles.
Each trade includes a dynamic Take Profit and Stop Loss based on a % of entry price.
Alerts are triggered for every breakout trade (long or short).
Parameters:
Breakout Lookback: Number of candles to check for breakouts (default: 20)
Take Profit (%): TP level based on percentage from entry (default: 5%)
Stop Loss (%): SL level based on percentage from entry (default: 2%)
DAX Setup ScreenerPine Script – Setup Screener
This code detects:
Range trading zone
Breakout long & breakdown short signals
With visual overlay
Use it like this:
Adjust rangeHigh, rangeLow, and breakoutBuffer
Enabled: Draws signals on the live chart
Convergence [by Oberlunar]
The Convergence Indicator by Oberlunar is a multi-timeframe analysis tool that identifies and visualizes trend convergence across up to 10 configurable timeframes using advanced customizable moving averages, including Hull, OberX (a Hull mod), THMA, EMA, and SMA, with an optional pseudo-Hilbert Transform.
It provides a clear visual overlay through gradual fill areas that highlight bullish and bearish trends while offering a fully configurable dynamic table to monitor live trend states across all selected timeframes with user-defined colors and positioning.
This tool is designed for traders who seek to pinpoint multi-timeframe convergence points to enhance their decision-making process in trend-following and breakout strategies.
Oberlunar 👁️⭐
YAS V1This advanced "All-in-One" indicator combines the most powerful smart money concepts (SMC), order blocks (OB), fair value gaps (FVG), support & resistance (SR), and liquidity voids, along with entry signals based on EMA and RSI filters.
💡 Key Features:
✅ Order Blocks (OB):
Highlights potential bullish and bearish order blocks to identify strong institutional zones where price might reverse.
✅ Fair Value Gaps (FVG):
Marks price gaps that indicate imbalance and possible zones for retracement or continuation.
✅ Support & Resistance (SR):
Automatically plots dynamic support and resistance levels using pivots, helping you to spot key reaction areas.
✅ Liquidity Voids:
Visualizes potential liquidity gaps or low-volume areas that can act as price magnets.
✅ Buy & Sell Signals:
Generates dynamic BUY and SELL signals based on a combination of EMA trend filters and RSI overbought/oversold levels.
✅ Fully Configurable:
Choose which features to display (OB, FVG, SR, Liquidity Voids, signals).
Adjust EMA and RSI settings to match your strategy.
Control the number of signals (reduce or increase) using a signal sensitivity filter.
⚙️ How it Works:
Trend Filter (EMA):
Price above EMA confirms a bullish environment, below EMA confirms bearish.
RSI Filter:
Signals are validated with RSI to avoid overtrading in ranging markets.
Zones & Gaps:
Institutional concepts (order blocks, gaps) help traders understand supply/demand and price inefficiencies.
🎯 Usage:
Perfect for:
Scalpers looking for intraday turning points.
Swing traders spotting high-probability levels.
Anyone interested in smart money concepts.
🚨 Alerts:
Includes built-in alerts for both BUY and SELL signals so you can react instantly without watching the screen all the time.
💬 Note:
This is a beta version designed to be improved with community feedback. Use it as a guide, and always confirm signals with your own analysis and risk management.
🔥 Ready to take your trading to the next level? Add this indicator to your chart, customize the settings, and start seeing the market like smart money!
Min Forrige Daily CandleBruges til at se forrige daily candle. Daily high, low og close. Kan bruges til teknisk analyse.
MOD_CM_MacD_Ult_MTF_V2.1Basato su “CM_MacD_Ult_MTF_V2.1” di @chadmaurice (CM)
Aggiunto timeframe 2g,3g,4g
Siyonacci-powerWith this indicator:
Volume momentum volume line filters the trend.
ATR bands control volatility.
You get alerts for volume mismatch.
MSB peak-bottom breakouts are visible.
MACD momentum histogram in the bottom panel confirms the strength of the signal.
Gold_Bulls | TP1+TP2 + Trailing SL + Clean Entry//@version=5
indicator("Gold_Bulls | TP1+TP2 + Trailing SL + Clean Entry", overlay=true)
// === INPUTS ===
lookbackDays = input.int(4, "Lookback Days (5m candles)")
pivotLen = input.int(5, "Pivot Strength")
rr1 = input.float(1.0, "TP1 Risk:Reward")
rr2 = input.float(1.5, "TP2 Risk:Reward")
trailATRmult = input.float(1.2, "Trailing SL ATR Multiplier")
// === TIME FILTER ===
inLastDays = time > (timenow - lookbackDays * 24 * 60 * 60 * 1000)
// === PIVOT S/R ===
pivotHigh = ta.pivothigh(high, pivotLen, pivotLen)
pivotLow = ta.pivotlow(low, pivotLen, pivotLen)
resistance = not na(pivotHigh) and inLastDays ? pivotHigh : na
support = not na(pivotLow) and inLastDays ? pivotLow : na
plotshape(resistance, location=location.abovebar, style=shape.triangledown, color=color.purple, size=size.tiny)
plotshape(support, location=location.belowbar, style=shape.triangleup, color=color.blue, size=size.tiny)
// === TRACK LAST LEVEL ===
var float lastSupport = na
var float lastResistance = na
if not na(support)
lastSupport := support
if not na(resistance)
lastResistance := resistance
// === ATR for Trailing SL ===
atr = ta.atr(14)
// === VARIABLES ===
var float entryBuy = na
var float slBuy = na
var float tp1Buy = na
var float tp2Buy = na
var float trailBuy = na
var float entrySell = na
var float slSell = na
var float tp1Sell = na
var float tp2Sell = na
var float trailSell = na
// === CONDITIONAL ENTRY ===
buyCond = na(entryBuy) and close > lastResistance and ta.barssince(close > lastResistance) == 0
sellCond = na(entrySell) and close < lastSupport and ta.barssince(close < lastSupport) == 0
// === BUY ENTRY ===
if buyCond
entryBuy := close
slBuy := ta.lowest(low, 6)
risk = entryBuy - slBuy
tp1Buy := entryBuy + risk * rr1
tp2Buy := entryBuy + risk * rr2
trailBuy := entryBuy - atr * trailATRmult
if not na(entryBuy)
trailBuy := math.max(trailBuy, close - atr * trailATRmult)
if close < trailBuy or close > tp2Buy
entryBuy := na
slBuy := na
tp1Buy := na
tp2Buy := na
trailBuy := na
// === SELL ENTRY ===
if sellCond
entrySell := close
slSell := ta.lowest(low, 6) // as per your request
risk = entrySell - slSell
tp1Sell := entrySell - risk * rr1
tp2Sell := entrySell - risk * rr2
trailSell := entrySell + atr * trailATRmult
if not na(entrySell)
trailSell := math.min(trailSell, close + atr * trailATRmult)
if close > trailSell or close < tp2Sell
entrySell := na
slSell := na
tp1Sell := na
tp2Sell := na
trailSell := na
// === PLOTS ===
plotshape(buyCond, location=location.belowbar, style=shape.labelup, color=color.green, text="BUY")
plot(entryBuy, title="Buy Entry", color=color.green)
plot(slBuy, title="Buy SL", color=color.orange)
plot(tp1Buy, title="Buy TP1", color=color.lime)
plot(tp2Buy, title="Buy TP2", color=color.teal)
plot(trailBuy, title="Buy Trailing SL", color=color.yellow)
plotshape(sellCond, location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL")
plot(entrySell, title="Sell Entry", color=color.red)
plot(slSell, title="Sell SL", color=color.orange)
plot(tp1Sell, title="Sell TP1", color=color.green)
plot(tp2Sell, title="Sell TP2", color=color.teal)
plot(trailSell, title="Sell Trailing SL", color=color.yellow)
// === ALERTS ===
alertcondition(buyCond, title="BUY Signal", message="📈 BUY Signal Triggered!")
alertcondition(sellCond, title="SELL Signal", message="📉 SELL Signal Triggered!")
YAS V1This advanced "All-in-One" indicator combines the most powerful smart money concepts (SMC), order blocks (OB), fair value gaps (FVG), support & resistance (SR), and liquidity voids, along with entry signals based on EMA and RSI filters.
💡 Key Features:
✅ Order Blocks (OB):
Highlights potential bullish and bearish order blocks to identify strong institutional zones where price might reverse.
✅ Fair Value Gaps (FVG):
Marks price gaps that indicate imbalance and possible zones for retracement or continuation.
✅ Support & Resistance (SR):
Automatically plots dynamic support and resistance levels using pivots, helping you to spot key reaction areas.
✅ Liquidity Voids:
Visualizes potential liquidity gaps or low-volume areas that can act as price magnets.
✅ Buy & Sell Signals:
Generates dynamic BUY and SELL signals based on a combination of EMA trend filters and RSI overbought/oversold levels.
✅ Fully Configurable:
Choose which features to display (OB, FVG, SR, Liquidity Voids, signals).
Adjust EMA and RSI settings to match your strategy.
Control the number of signals (reduce or increase) using a signal sensitivity filter.
⚙️ How it Works:
Trend Filter (EMA):
Price above EMA confirms a bullish environment, below EMA confirms bearish.
RSI Filter:
Signals are validated with RSI to avoid overtrading in ranging markets.
Zones & Gaps:
Institutional concepts (order blocks, gaps) help traders understand supply/demand and price inefficiencies.
🎯 Usage:
Perfect for:
Scalpers looking for intraday turning points.
Swing traders spotting high-probability levels.
Anyone interested in smart money concepts.
🚨 Alerts:
Includes built-in alerts for both BUY and SELL signals so you can react instantly without watching the screen all the time.
💬 Note:
This is a beta version designed to be improved with community feedback. Use it as a guide, and always confirm signals with your own analysis and risk management.
🔥 Ready to take your trading to the next level? Add this indicator to your chart, customize the settings, and start seeing the market like smart money!
Golden & Death CrossHow it works:
This script plots the 50-day and 200-day SMAs, marks golden/death crosses with visual signals, and sets alerts for crossovers.
Customization: Adjust the MA lengths (e.g., 20/100 for faster signals) or switch to EMAs using ta.ema(). Add volume or RSI filters to reduce false signals.
Application: Apply this to BTC/USDT or XAU/USD charts. Combine with support/resistance levels or macroeconomic news for better accuracy.