IFVG WITH SignalsTitle: Inverted Fair Value Gaps with Alerts – Smart Liquidity Zones
Description:
This script identifies Inverted Fair Value Gaps (IFVGs) – a concept derived from liquidity theory and price inefficiencies, often associated with smart money trading strategies. Unlike traditional FVGs, inverted gaps point to potential liquidity traps or reversal zones, where price may revisit to rebalance or hunt stops.
Key Features:
Automatic detection of Inverted Fair Value Gaps
Visual zones plotted on chart for easy reference
Customizable alerts when a new IFVG is created or price re-enters one
Works on any timeframe or asset
Indicators and strategies
Redwire's ALMA Bands with Alerts This script is basically an extension of Redwire's Alma bands developed by (in.tradingview.com). A big thanks to him
This is a script I like a lot as it has Alma bands based on Fibonacci numbers and price tends to respect these very often.
All I have done with AI help is create a code with more Alma Fib MA's + Alarms incorporated, such that there is a trigger when a certain condition is met(for ex -price crossing Alma-55 or Alma 89)
If the ALMA MA's are all inter-twined/criss-crossing each other, price tends to be range bound. If the ALMA bands are all neatly stacked up/down, it tends to indicate a breakout/breakdown
Hope this is of help to fellow traders. Pls note that I am not a coder nor any analyst of any sort. Pls backtest and research accordingly before trading. Best wishes
India VIX TableThis indicator gives you the India Vix value in real time on your chart. You can change the position on the chart as per your preference.
DragonEdge CryptoDragonEdge Crypto is a refined version of the DragonEdge Prime algorithm, re-engineered for the fast-moving, always-on world of cryptocurrency trading.
This TradingView indicator scans for high-probability long and short setups by analyzing a confluence of technical signals — including VWAP pressure zones, MACD momentum shifts, RSI compression, and abnormal volume behavior. Unlike traditional tools, it evaluates 17 dynamic market variables and only fires a signal when conditions align with a configurable confidence threshold.
Built for clarity and speed, DragonEdge Crypto helps eliminate noise and spotlight directional setups with minimal delay.
🔹 Designed for BTC, ETH, SOL, and other high-volume crypto pairs
🔹 Best performance on the 15-minute to 1-hour charts
🔹 Clean LONG / SHORT visual alerts when multiple signals converge
🔹 Zero reliance on day-of-week logic — fully optimized for 24/7 markets
🔹 Alerts can trigger push notifications or emails via the TradingView app
Whether you’re scalping momentum or swing trading key moves, DragonEdge Crypto gives you the tools to act when the odds favor precision.
No financial advice. Use at your own discretion.
ATR and Stochastics by XeodiacThis script combines two popular indicators, the Average True Range (ATR) and the Stochastic Oscillator, into a single chart for enhanced trading insights. Here’s a breakdown of how it works and what it does:
What It Does:
Average True Range (ATR):
Measures market volatility by calculating the average range of price movement over a specified period.
The ATR is plotted in blue on its natural scale, helping you assess how volatile the market is.
Stochastic Oscillator:
A momentum indicator that compares a security's closing price to its price range over a specific period.
It calculates two lines:
%K Line (Green): Tracks the raw Stochastic value.
%D Line (Red): A smoothed moving average of the %K line.
These values are plotted on a percentage scale (0-100) to indicate overbought or oversold conditions.
Inputs:
ATR Length: Specifies the number of periods used for ATR calculation (default is 14).
Stochastic %K Length: Determines the period for finding the highest high and lowest low for the %K calculation (default is 14).
Stochastic %D Smoothing: Sets the smoothing factor for the %D line (default is 3).
Visual Output:
Blue Line: Represents the ATR, showing how much price moves on average over the given period.
Green Line: The %K line of the Stochastic Oscillator, showing momentum shifts in the market.
Red Line: The %D line of the Stochastic Oscillator, providing a smoothed perspective on momentum.
Use Case:
This script is useful for:
Assessing Market Volatility: Use the ATR to understand how active the market is.
Identifying Overbought/Oversold Levels: Use the Stochastic Oscillator to identify potential reversal points.
Combining Signals: Analyze both indicators together to align volatility and momentum for better trading decisions.
Swing Data - ADR% / RVol / PVol / Float % / Avg $ VolThis indicator provides a comprehensive table displaying essential swing trading metrics directly on your chart. Designed for traders who need a quick overview of stock volatility, liquidity, and volume dynamics at a glance.
Key Features:
✅ ADR% (Average Daily Range Percentage)
✅ Relative Volume (RVol)
✅ Projected Intraday Volume
✅ Average Daily $ Volume (AD NYSE:V )
✅ Float Percentage
✅ Market Capitalization
✅ LoD Distance (Low of Day distance in ATR%)
✅ Volume Buzz (current volume deviation from average)
✅ Sector & Industry classification
Customization Options:
➤ Table size (tiny to large)
➤ Adjustable position: Top-Left, Top-Right, Bottom-Left, Bottom-Right
➤ Dark Mode friendly colors
➤ Toggle each metric on/off
➤ Option to add a spacing row for clear visibility
Usage:
This script is ideal for intraday and swing traders who monitor volume surges, float dynamics, and volatility patterns to assess tradable setups. It combines key price and volume insights with fundamentals in one clean table — saving screen space while enhancing situational awareness.
Inspired by professional trading dashboards and adapted for TradingView charts.
HMA ATR Mean Reversion OscillatorMeasures how far the price deviates from a moving average (initially SMA, now HMA).
Normalizes this deviation using the Average True Range (ATR) to account for volatility.
Scales the result into a 0–100 oscillator, displayed in a separate pane (like RSI).
Identifies overbought (above 70) and oversold (below 30) conditions for potential mean reversion trades.
Added visual cues like green/yellow dots to indicate whether the price is above or below the mean.
HiLo EMA Custom bandsHILo Ema custom bands
This advanced technical indicator is a powerful variation of "HiLo Ema squeeze bands" that combines the best elements of Donchian channels and EMAs. It's specially designed to identify price squeezes before significant market moves while providing dynamic support/resistance levels and predictive price targets.
Indicator Concept:
The indicator initializes EMAs at each new high or low - the upper EMA tracks highs while the lower EMA tracks lows. It draws maximum of 6 custom bands based on percentage, fixed value or Atr
Upper EM bands are drawn below uper ema, Lower EMA bands are drawn above lower ema
Customizable Options:
Ema length: 200 default
Calculation type: Ema (Default), HILO
Calculation type: Percent,Fixed Value, ATR
Band Value: Percent/Value/ATR multiple This is value to use for calculation type
Band Selection: Both,Upper,Lower
Key Features:
You can choose to draw either of one or both, the latter can be overwhelming initially but as you get used to it, it becomes a powerful tool.
When both bands are selected, upper and lower bands provide provides dual references and intersections
This creates a more trend-responsive alternative to traditional Donchian channels with clearly defined zones for trade planning.
If you select percaentage, note that the calulation is based FROM the respective EMA bands. So bands from lower EMA band will appear narrower compared to the those drawn from upper EMA band
Price targets or reversals:
Look of alignment of lines and price. The current level of one order could align with that of previous level of a different order because often markets move in steps
Settings Guide:
Recommended Settings:
Ema length: 200
Use one of the bands (not both) if using large length of say 1000
Calculation type: EMA
HILO will draw donchian like bands, this is useful if you only want flat price levels. In a rising market use upper and vise versa
Calculation type:
percentage for indices : 5, for symbols 10 or higher based on symbol volatility
Fixed value: about 10% of symbol value converted to value
Atr: 2 ideally
Perfect for swing traders and position traders looking for a more sophisticated volatility-based overlay that adapts to changing market conditions and provides predictive reversal levels.
Note: This indicator works well across multiple timeframes but is especially effective on H4, Daily and Weekly charts for trend trading.
[blackcat] L2 Z-Score of PriceOVERVIEW
The L2 Z-Score of Price indicator offers traders an insightful perspective into how current prices diverge from their historical norms through advanced statistical measures. By leveraging Z-scores, it provides a robust framework for identifying potential reversals in financial markets. The Z-score quantifies the number of standard deviations that a data point lies away from the mean, thus serving as a critical metric for recognizing overbought or oversold conditions. 🎯
Key benefits encompass:
• Precise calculation of Z-scores reflecting true price deviations.
• Interactive plotting features enhancing visual clarity.
• Real-time generation of buy/sell signals based on crossover events.
STATISTICAL ANALYSIS COMPONENTS
📉 Mean Calculation:
Utilizes Simple Moving Averages (SMAs) to establish baseline price references.
Provides smooth representations filtering short-term noise preserving long-term trends.
Fundamental for deriving subsequent deviation metrics accurately.
📈 Standard Deviation Measurement:
Quantifies dispersion around established means revealing underlying variability.
Crucial for assessing potential volatility levels dynamically adapting strategies accordingly.
Facilitates precise Z-score derivations ensuring statistical rigor.
🕵️♂️ Z-SCORE DETECTION:
Measures standardized distances indicating relative positions within distributions.
Helps pinpoint extreme conditions signaling impending reversals proactively.
Enables early identification of trend exhaustion phases prompting timely actions.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Integrates SMAs along with standardized deviation formulas generating precise Z-scores.
Employs Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
🖱️ User Interface Elements:
Dedicated plots displaying real-time Z-score markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between Z-score readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Length: Governs responsiveness versus smoothing trade-offs balancing sensitivity/stability.
Price Source: Dictates primary data series driving Z-score computations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
[blackcat] L3 Mean Reversion ATR Stop Loss OVERVIEW
The L3 Mean Reversion ATR Stop Loss indicator is meticulously crafted to empower traders by offering statistically-driven stop-loss levels that adapt seamlessly to evolving market dynamics. By harmoniously blending mean reversion concepts with Advanced True Range (ATR) metrics, it delivers a robust framework for managing risks more effectively. 🌐 The primary objective is to furnish traders with intelligent exit points grounded in both short-term volatility assessments and long-term trend evaluations.
Key highlights encompass:
• Dynamic calculation of Z-scores to evaluate deviations from established means
• Adaptive stop-loss pricing leveraging real-time ATR measurements
• Clear visual cues enabling swift decision-making processes
TECHNICAL ANALYSIS COMPONENTS
📉 Z-SCORE CALCULATION
Measures how many standard deviations an asset's current price lies away from its average
Facilitates identification of extreme conditions indicative of impending reversals
Utilizes simple moving averages and standard deviation computations
📊 STANDARD DEVIATION MEASUREMENT
Quantifies dispersion of closing prices around the mean
Provides insights into underlying price distribution characteristics
Crucial for assessing potential volatility levels accurately
🕵️♂️ ADAPTIVE STOP-LOSS DETECTION
Employs ATR as a proxy for prevailing market volatility
Modulates stop-loss placements dynamically responding to shifting trends
Ensures consistent adherence to predetermined risk management protocols
INDICATOR FUNCTIONALITY
🔢 Core Algorithms
Integrate Smooth Moving Averages (SMAs) alongside standardized deviation formulas
Generate precise Z-scores reflecting true price deviations
Leverage ATR-derived multipliers for fine-grained stop-loss adjustments
🖱️ User Interface Elements
Interactive plots displaying real-time stop-loss markers
Context-sensitive color coding enhancing readability
Background shading indicating proximity to stop-level activations
STRATEGY IMPLEMENTATION
✅ Entry Conditions
Confirm bullish/bearish setups validated through multiple confirmatory signals
Ensure alignment between Z-score readings and broader trend directions
Validate entry decisions considering concurrent market sentiment factors
🚫 Exit Mechanisms
Trigger exits upon hitting predefined ATR-based stop-loss thresholds
Monitor continuous breaches signifying potential trend reversals
Execute partial/total closes contingent upon cumulative loss limits
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines
Period Length: Governs responsiveness versus smoothing trade-offs
ATR Length: Dictates the temporal scope for volatility analysis
Stop Loss ATR Multiplier: Tunes sensitivity towards stop-trigger activations
💬 Customization Recommendations
Commence with baseline defaults; iteratively refine parameters
Evaluate impacts independently prior to combined adjustments
Prioritize minimizing erroneous trigger occurrences first
Sustain balanced risk-reward profiles irrespective of chosen settings
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques
Enforce strict compliance with pre-defined maximum leverage constraints
Mandatorily apply trailing stop-loss orders conforming to script outputs
Allocate positions proportionately relative to available capital reserves
Conduct periodic reviews gauging strategy effectiveness rigorously
⚠️ Potential Pitfalls & Solutions
Address frequent violations arising during heightened volatility phases
Manage false alerts warranting manual interventions judiciously
Prepare contingency plans mitigating margin call possibilities
Continuously assess automated system reliability amidst fluctuating conditions
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics
Assess win percentages consistently across diverse trading instruments
Calculate average profit ratios per successful execution
Measure peak drawdown durations alongside associated magnitudes
Analyze signal generation frequencies revealing hidden patterns
📈 Historical Data Analysis Tools
Maintain comprehensive records capturing every triggered event
Compare realized profits/losses against backtested simulations
Identify recurrent systematic errors demanding corrective actions
Implement iterative refinements bolstering overall efficacy steadily
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges
Unpredictable behaviors emerging within thinly traded markets
Latency issues manifesting during abrupt price fluctuations
Overfitted models yielding suboptimal results post-extensive tuning
Inaccuracies stemming from incomplete or delayed data inputs
💡 Effective Resolution Pathways
Exclude low-liquidity assets prone to erratic movements
Introduce buffer intervals safeguarding major news/event impacts
Limit ongoing optimization attempts preventing model degradation
Verify seamless connectivity ensuring uninterrupted data flows
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
THANKS
A heartfelt acknowledgment extends to all developers contributing invaluable insights about adaptive stop-loss strategies using statistical measures! ✨
ALEV SİNYALİFlame Signal – RSI Bands & Bollinger Bands Based Buy Signal with Trailing Stop
This indicator aims to identify potential market reversal points using Heikin Ashi candles. It focuses on key levels of RSI (Relative Strength Index) and Bollinger Bands.
How it works:
If the previous candle’s lower wick is below both the lower Bollinger Band and the RSI oversold level, and
The next candle opens above these levels, a potential buy signal is triggered.
A trailing stop with 0.20% sensitivity is integrated to help protect your positions and minimize losses.
Purpose:
Useful as a supporting tool for medium-term trading decisions.
Particularly effective in volatile markets thanks to Heikin Ashi candles’ trend capturing ability.
Warning:
No indicator guarantees profits alone. Proper risk management is essential.
Green/Red Volume Ratio (rolling)This indicator calculates the ratio between the total volume of bullish candles (where the close is higher than the open) and the total volume of bearish candles (where the close is lower than the open) over a user-defined rolling window (default: 50 days).
A value above 1 means buying volume dominates selling volume over the period, signaling bullish pressure.
A value below 1 means selling volume dominates, indicating bearish pressure.
A value of 1 means the total buying and selling volumes are equal.
The indicator helps traders quickly gauge whether buyers or sellers are in control over recent history, assisting in trend confirmation and sentiment analysis.
Scalping Ichimoku with Optional Choppiness and RSI FilterIchimoku Cloud Buy-Sell Signal Indicator. The Ichimoku Cloud Strategy is a comprehensive trend-following system combining multiple indicators. It uses the Kumo (cloud) to identify support, resistance, and trend direction. Buy signals occur when price breaks above the cloud with bullish confirmation. Sell signals trigger when price breaks below with bearish alignment. Ideal for spotting momentum shifts and sustained trend entries.
Midpoint Line on Last Two Strong CandlesBreaking a mid point of the recent strong candle by its opposite candle can be considered as a trend reversal.
Weekly ManipulationUnderstanding the "Weekly Manipulation" Indicator
The "Weekly Manipulation" indicator is a powerful tool designed to identify false breakouts in the market—moments. Let me explain how it works in simple terms.
What This Indicator Detects
This indicator spots two specific market behaviors that often indicate manipulation:
1. Single-Day Manipulation (Red/Green Labels)
This occurs when price briefly breaks through a significant daily level but fails to maintain the momentum:
Bearish Manipulation (Red): Price pushes above the previous day's high, but then reverses and closes below that high.
Bullish Manipulation (Green): Price drops below the previous day's low), but then reverses and closes above that low.
2. Two-Day Manipulation (Black Labels)
This is a more complex version of the same pattern, but occurring over a 2-day period. These signals can indicate even stronger manipulation attempts and potentially more powerful reversals.
Why This Matters for Your Trading
By identifying these patterns, you can:
- Avoid getting caught in false breakouts
- Find potential entry points after the manipulation is complete
- Understand when market action might not be genuine price discovery
How to Use This Indicator
1. Look for Red Markers: These appear when price has attempted to break higher but failed. This often suggests bearish potential going forward.
2. Look for Green Markers: These appear when price has attempted to break lower but failed. This often suggests bullish potential going forward.
3. Pay Attention to Black Markers: These 2-day patterns can signal stronger reversals and might be worth giving extra weight in your analysis.
The indicator labels these patterns clearly as "Manipulation" right on your chart, giving you an immediate visual cue when these potential setups occur.
Consecutive Candles Above/Below EMADescription:
This indicator identifies and highlights periods where the price remains consistently above or below an Exponential Moving Average (EMA) for a user-defined number of consecutive candles. It visually marks these sustained trends with background colors and labels, helping traders spot strong bullish or bearish market conditions. Ideal for trend-following strategies or identifying potential trend exhaustion points, this tool provides clear visual cues for price behavior relative to the EMA.
How It Works:
EMA Calculation: The indicator calculates an EMA based on the user-specified period (default: 100). The EMA is plotted as a blue line on the chart for reference.
Consecutive Candle Tracking: It counts how many consecutive candles close above or below the EMA:
If a candle closes below the EMA, the "below" counter increments; any candle closing above resets it to zero.
If a candle closes above the EMA, the "above" counter increments; any candle closing below resets it to zero.
Highlighting Trends: When the number of consecutive candles above or below the EMA meets or exceeds the user-defined threshold (default: 200 candles):
A translucent red background highlights periods where the price has been below the EMA.
A translucent green background highlights periods where the price has been above the EMA.
Labeling: When the required number of consecutive candles is first reached:
A red downward arrow label with the text "↓ Below" appears for below-EMA streaks.
A green upward arrow label with the text "↑ Above" appears for above-EMA streaks.
Usage:
Trend Confirmation: Use the highlights and labels to confirm strong trends. For example, 200 candles above the EMA may indicate a robust uptrend.
Reversal Signals: Prolonged streaks (e.g., 200+ candles) might suggest overextension, potentially signaling reversals.
Customization: Adjust the EMA period to make it faster or slower, and modify the candle count to make the indicator more or less sensitive to trends.
Settings:
EMA Length: Set the period for the EMA calculation (default: 100).
Candles Count: Define the minimum number of consecutive candles required to trigger highlights and labels (default: 200).
Visuals:
Blue EMA line for tracking the moving average.
Red background for sustained below-EMA periods.
Green background for sustained above-EMA periods.
Labeled arrows to mark when the streak threshold is met.
This indicator is a powerful tool for traders looking to visualize and capitalize on persistent price trends relative to the EMA, with clear, customizable signals for market analysis.
Explain EMA calculation
Other trend indicators
Make description shorter
Linear Regression Trendline on Close
This indicator draws a linear regression trendline that connects the closing prices of the last N candles, where N is a user-defined input.
🔹 Key Features:
Uses least-squares linear regression to fit a straight line to recent closes
Automatically adapts to any timeframe (5min, 1h, daily, etc.)
Input lets you select how many recent candles to include
Helps identify short-term trend direction and momentum
🔸 How to Use:
Set the "Number of Candles" input to choose how far back the regression line should look
The line updates in real time as new candles form
Use it to gauge short-term bias, or combine with support/resistance/zones for confirmation
🧠 Tip: Increase the number of candles for smoother trends; decrease for more reactive trendlines.
动态止损趋势指标Trend indicators edited by Happy in Chiang Mai，When the K-line is above the stop loss line, go long; when the K-line is below the stop loss line, go short. The stop loss line stops loss, which is applicable to the two-minute cycle.
38-Ticker Volume Alertcompares ticker volume with its volume moving average and sends alert in case of volume surprise
Minervini Trend Template (EMA)📄 Description:
This script is inspired by Mark Minervini’s SEPA (Specific Entry Point Analysis) strategy and adapts his famous Trend Template using Exponential Moving Averages (EMAs). It helps traders visually identify technically strong stocks that are in ideal buy conditions based on Minervini's rules.
📈 Strategy Logic:
This script scans for momentum breakouts by filtering stocks with the following characteristics:
✅ Buy Criteria (All Conditions Must Be Met):
Price above 50-day EMA
Price above 150-day EMA
Price above 200-day EMA
50-day EMA above 150-day EMA
150-day EMA above 200-day EMA
200-day EMA trending upward (greater than it was 20 days ago)
Price within 25% of its 52-week high
Price at least 30% above its 52-week low
If all 8 conditions are satisfied, the script triggers a SEPA Setup Signal. This is visually indicated by:
✅ A green background on the chart
✅ A label saying “SEPA Setup” under the bar
🛒 When to Buy:
Wait for the stock to break out above a recent base or consolidation pattern (like a cup-with-handle or flat base) on strong volume.
The ideal entry is within 5% of the breakout point.
Confirm that the SEPA conditions are met on the breakout day.
📉 When to Sell:
Place a stop-loss 5–8% below your entry price.
Exit if the breakout fails and price falls back below the pivot or the 50-day EMA.
Take partial profits after a 20–25% gain, and move your stop-loss up to breakeven or trail it using moving averages like the 21 or 50 EMA.
Exit fully if price closes below the 50-day or 150-day EMA on volume.
🧠 Why EMAs?
EMAs react faster to recent price action than SMAs, helping you catch earlier signals in fast-moving markets. This makes it especially useful for growth and momentum traders following Minervini’s high-performance approach.
📊 How to Use:
Apply the script to any stock chart (daily timeframe recommended).
Look for a green background + SEPA Setup label.
Combine with price/volume analysis, base patterns, and market context to time your entries.
🚨 Optional Alerts:
You can set an alert on the condition minerviniPass == true to notify you when a SEPA-compliant setup appears.
📚 This tool is meant for educational and research purposes. Always validate with your own due diligence and consult your risk plan before making any trades.
Intraday Sweep + Theta Decay + TPVolume Sweep Detects sudden volume spikes above average (suggests smart money interest)
Theta Decay Penalizes late entries — triggers only if price reacts quickly
Trend Filter Uses EMA for bullish/bearish bias
TP Levels Calculates target price based on ATR or fixed multiples
Signals Buy/Sell entries with TP levels plotted and alerts triggered
Scalping strategy [Dubic]The Dubic Scalping Strategy is a lightweight and effective EMA-based tool designed for fast-paced trading on crypto, forex, and indices.
✅ Initial Buy/Sell signals are triggered by fast EMA crossovers.
✅ Re-entry signals use volume confirmation to catch pullbacks within the trend.
🔔 Includes alert support for webhook automation and manual execution.
Arrows mark trend entries, and colored dots indicate valid re-entries.
Simple. Responsive. Built for scalpers.
Triple Moving Average by XeodiacThis script, "Triple Moving Average Indicator", is a simple yet powerful tool designed to help traders track trends and detect potential market reversals. Here’s what it does:
What It Does:
Plots three moving averages on your chart.
Customizable to suit your trading style with options for the type of moving average, the period, color, and thickness of the lines.
Alerts you when important crossovers occur, helping you stay on top of potential trading opportunities.
Features:
Customizable Moving Averages (MAs):
Choose from four types of MAs:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Smoothed Moving Average (SMMA)
Weighted Moving Average (WMA)
Set individual periods, colors, and line thickness for each moving average.
Alerts:
Notifies you when:
The price crosses above or below any moving average.
One moving average crosses another (e.g., short-term crosses above long-term).
Visual Clarity:
Plots three distinct lines on the chart for easy comparison and interpretation.
Why Use It?
Track Trends: See the direction of short, medium, and long-term trends at a glance.
Spot Crossovers: Identify golden crosses (bullish) or death crosses (bearish) to refine entry and exit points.
Stay Informed: With alerts, you’ll never miss a key market movement.
