Médias Móveis
Guppy EMA Promax [NMTUAN]Key Benefits for Traders
Clarity: Offers a clearer visual representation of market trends than single or dual EMAs.
Adaptability: Can be applied across various timeframes and financial instruments.
Comprehensive Analysis: Provides a multi-faceted view of market dynamics, combining trend, support/resistance, and momentum.
Risk Management: Helps in identifying optimal stop-loss and take-profit levels based on cloud boundaries.
Kanal Dynamic Support & Resistance🔵 Dynamic Support & Resistance Channel – Multi-Timeframe Adaptive MA Lines
This indicator displays a dynamic channel consisting of five key lines: a central moving average (MA) and two levels of support and resistance above and below it. The channel is based on a customizable moving average and adapts to your selected timeframe, making it suitable for identifying trend direction, potential bounce zones, and breakout areas.
💡 Key Features:
✅ Choose from 5 MA types: SMA, EMA, SMMA, WMA, VWMA
⏱️ Supports higher timeframe MA reference (MTF compatible)
🧠 Dynamic offset-based support/resistance bands
🎯 Helps visualize trend zones, pullback entries, and reversal points
📊 Structure:
Black Line: Core Moving Average (trend baseline)
Orange Line: First Upper Channel (resistance zone)
Red Line: Second Upper Channel (strong resistance zone)
Green Line: First Lower Channel (support zone)
Blue Line: Second Lower Channel (strong support zone)
Whether you're a trend follower or a reversal trader, this tool helps you frame market structure more clearly and build rule-based entries with a visual edge.
Liquidity Aggregation MALiquidity Aggregation MA
Designed to assess liquidity conditions by aggregating data from various economic indicators (Fed Liquidity, PBOC Liquidity, Inverse Volatility, and Inverse USD Strength) and visualizing them with moving averages (EMA and SMA). It is tailored for high beta assets like Bitcoin (cryptocurrency).
Key Features:
Liquidity Inputs: Utilizes custom ticker combinations (e.g., FRED:WALCL, ECONOMICS:CNFER) with optional inclusion of Fed Liquidity, PBOC Liquidity, Inverse Volatility (MOVE Index), and Inverse USD Strength (DXY).
Customizable Inputs:
EMA (default 55) and SMA (default 200) lengths.
Plot styles (Wave, Pulse, Classic) with glow effect and wave intensity options.
Strength display mode (Percentage or Absolute) with adjustable max strength thresholds.
Table position, size, and color intensity settings.
Visualization:
EMA and SMA lines with dynamic colors (teal for bullish "RISK ON", magenta for bearish "RISK OFF") based on signal strength.
Fill between lines with transparency adjusting to signal strength.
Wave or pulse effects for enhanced visual feedback.
A table shows the liquidity signal and a 10-block gauge reflecting signal strength.
Candles colored based on the liquidity signal.
Usage:
Helps traders evaluate liquidity-driven market trends across global financial systems.
The signal strength gauge and color intensity indicate the magnitude of the liquidity shift.
Suitable for overlay on a 1-day chart to monitor long-term liquidity impacts, as depicted in the Bitcoin/USD chart.
Daily Pivot Strategy + RSI/MA/EMA/MACD/ADX AlertsEnglish Description
Daily Pivot Strategy + RSI/MA/EMA/MACD/ADX Alerts
This indicator combines a daily pivot-based price strategy with multiple technical signals to support disciplined trading decisions. Key features include:
- Dynamic entry and target levels using Pivot + ATR.
- RSI alerts for overbought/oversold conditions.
- Bullish and bearish crossovers of MA20/MA50 and EMA9/EMA50.
- MACD 12/26 cross signals for trend reversals.
- Manually coded ADX alerts: a green signal appears when +DI crosses above -DI and ADX is above 24; red signal when -DI crosses above +DI under same ADX conditions.
The tool displays both visual shapes and alert conditions on the chart, making it suitable for daily strategies and confirmation layers in technical analysis workflows.
شرح المؤشر بالعربية
مؤشر الإستراتيجية المحورية اليومية مع تنبيهات RSI و MA و EMA و MACD و ADX
هذا السكربت يجمع بين حساب النقطة المحورية اليومية ومستويات الدخول والخروج باستخدام متوسط التذبذب (ATR)، مع إشارات فنية متنوعة تساعد على اتخاذ قرارات تداول مدروسة. تشمل المميزات:
- حساب مستويات الدخول والأهداف بناءً على Pivot وATR.
- تنبيهات لحالة RSI (تشبع شرائي وبيعي).
- تقاطعات صعودية وهبوطية للمتوسطات MA و EMA.
- إشارات MACD الموثوقة للتحول الاتجاهي.
- إشارات ADX تم بناؤها يدويًا للكشف عن القوة الاتجاهية، تظهر بلون أخضر عند تقاطع +DI فوق -DI والـADX فوق 24، وباللون الأحمر عند انعكاس الاتجاه.
المؤشر مصمم لتوفير إشارات مرئية ومكتوبة على الرسم البياني، ويمكن استخدامه كجزء من إستراتيجية تداول يومية أو كمساعد فني للتأكيد قبل الدخول.
Persistent 1H S/R Zones with Labels (No Overlap) + 50 EMAit helps find recant support and resistance zones with swing points
Persistent Daily & 4H S/R Zones with Labels + 50 EMAit helps find swing high and lows support and ressistsance
BskLAB - Signals Assistant 🧠 BSKLab Signal Assistant™ – Modular Framework for Visual Technical Analysis
BSKLab Signal Assistant™ is a modular and adaptive trading toolkit built for discretionary traders who want to combine multiple layers of technical confluence into their chart analysis.
Rather than being a traditional indicator or mashup of public tools, this script is structured around a dual-mode architecture — allowing users to switch between two core signal-generation methodologies:
Swing Mode for potential reversal detection
Following Mode for trend-following analysis
Each mode integrates custom-coded components, designed to help traders visualize market conditions, identify potential turning points, and confirm trends through calculated filters — without guaranteeing entries or exits.
🔁 Mode 1: Swing (Reversal-Based Analysis)
Swing Mode is designed to detect areas where price may be overextended and at risk of reversal. This is achieved using a custom-built Zone Style system based on a Triangular Moving Average (TMA) and ATR-based band width adjustment. The goal is to identify dynamic support and resistance areas that adjust in real time based on recent volatility.
Key Components in Swing Mode:
TMA Zone + ATR: Acts as an adaptive reversal zone. The TMA provides smoothed structure, while the ATR adjusts the zone width according to recent volatility, helping avoid flat/static zones in fast-moving markets.
Bollinger Bands: Used to detect price extremes. Price breaking beyond upper/lower bands in combination with zone behavior suggests possible exhaustion.
Custom SuperTrend: Added as a momentum filter. Only if SuperTrend flips in the direction of the move will the script consider the movement meaningful — filtering out noise and false reversals.
🟢 A bullish setup may occur when price closes below the lower zone and Bollinger Band, then rebounds with SuperTrend flipping upward.
🔴 A bearish setup may occur when price breaks above the upper zone, then turns down while SuperTrend flips bearish.
This mode is most effective during ranging markets or after impulsive moves.
📈 Mode 2: Following (Trend-Filtering Framework)
Following Mode focuses on confirming and aligning with dominant market trends. At the core of this system is BSKLab Cloud, a custom trend engine inspired by Ichimoku logic but modified to use ATR-weighted zones and trend-level strictness scoring.
Key Components in Following Mode:
BSKLab Cloud: Provides real-time trend confirmation with three adjustable strictness levels (Lv1–Lv3). This allows users to choose whether to be more sensitive or conservative in their trend validation.
Bollinger Bands: Help identify trend pullbacks. Price retesting the midline or outer zone can offer visual cues for entry areas within a trending structure.
Custom SuperTrend (optional): Can be used to confirm trend continuation using ATR-based trailing logic.
🟢 In bullish trends, entry conditions may involve price staying above the cloud and breaking above a BB midline.
🔴 In bearish trends, price should remain below the cloud with breakdowns below BB support zones.
This setup works best in trending environments and is designed to help avoid premature reversals.
🧩 Core Components Overview
TMA Zone + ATR – Adaptive reversal zone calculation combining smoothed TMA and real-time volatility width from ATR
Bollinger Bands – Measures statistical deviation from price mean to highlight OB/OS conditions
SuperTrend (Custom) – ATR-based momentum filter for directional confirmation
BSKLab Cloud – Modified trend filter inspired by Ichimoku, with trend-level scoring and strictness levels
📌 How It Works (In Summary)
The BSKLab Signal Assistant does not generate automatic buy/sell calls. Instead, it visually presents dynamic zones, volatility ranges, and trend conditions to assist in manual analysis and discretionary decision-making.
Users are encouraged to:
Use each mode according to market type (ranging vs trending)
Look for confluence between zone interaction, BB behavior, and trend alignment
Combine this with other chart reading techniques or systems
📍 RISK DISCLAIMER
Trading involves significant risk and is not suitable for everyone. All tools, scripts, and educational materials provided by BSKLab are for informational and educational purposes only. We do not offer financial advice.
Past performance does not guarantee future results. Always trade responsibly
📍 CONCLUSION
At BSKLab, we believe that consistent trading success doesn't come from indicators alone — it comes from the trader’s ability to apply them with context, discipline, and understanding. Tools are only as powerful as the hands they’re in.
The goal of the BSKLab Signal Assistant is not to provide magic signals, but to empower traders with a clean, adaptive, and intelligent framework that helps identify high-probability opportunities while filtering out the noise.
Whether you’re a beginner or experienced trader, this tool is designed to support real decisions in real markets — not just theory.
You can request access below to join the BSKLab system and unlock our full trading suite.
Jurik Moving Average🧠 Jurik Moving Average (JMA) — Ultra-Smooth Adaptive Trend Filter
This indicator implements a precise non-repainting recreation of the Jurik Moving Average (JMA) — a high-performance smoothing algorithm known for its ability to reduce lag while preserving rapid response to price changes. It is ideal for traders seeking a responsive yet stable line for trend detection, dynamic support/resistance, or signal generation.
⚙️ Core Functionality
At its heart, this indicator replicates the JMA logic as described in the original Jurik documentation, including:
✅ Adaptive smoothing based on price volatility.
✅ Variable phase shifting for forward/backward displacement.
✅ Power curve smoothing for dynamic control over responsiveness vs. smoothness.
✅ Volatility-aware band generation (optional).
The core algorithm uses a Kalman-style recursive filter with dynamic coefficients, adjusting to market conditions in real-time. Unlike traditional MAs (EMA, WMA, etc.), this implementation uses:
A volatility-normalized momentum engine to track price deviation (Kv factor).
A recursive double-smoothing mechanism for noise suppression without lag.
📈 Inputs
Length: Controls the base smoothing period.
Phase Shift: Moves the curve forward or backward in time (−100 to +100), for signal anticipation or lag removal.
Smoothing Power: Adjusts the sensitivity to price changes. Higher = smoother, lower = faster reaction.
Source: Any input (close, hl2, etc.) to apply the filter on.
Bands (optional): Dynamically generated adaptive envelopes based on real-time volatility.
🎯 How to Use
Use the JMA line as a trend-following tool or dynamic support/resistance.
Apply crossovers with price or other indicators for entries/exits.
Enable the bands to observe overbought/oversold zones or potential breakout areas.
Adjust phase to suit leading (anticipatory) or lagging (confirmation) strategies.
This tool is particularly suitable for:
Scalpers looking for precision in fast markets.
Swing traders filtering noise from signals.
Algorithmic systems needing high-fidelity moving averages.
UltraTrend Pro - Phoenix Engine EditionUltraTrend Pro – Phoenix Engine Edition
Overview
This is a technical analysis tool designed to help identify the current market trend and provide context on the market's "personality." It is built around a proprietary Phoenix Engine that analyzes price action to classify the market into distinct regimes—such as strong trends, weak trends, or choppy conditions—and then adapts its core algorithm accordingly.
Technical Features
The indicator is built on these main ideas:
1. The Phoenix Engine (Market Regime Classification):
Instead of using a one-size-fits-all approach, the Phoenix Engine constantly analyzes price volatility, strength, and stability to classify the current market into one of several regimes:
* Strong Trend (Up/Down): Clear, high-momentum directional movement.
* Medium/Weak Trend (Up/Down): Developing or fading directional movement.
* Ranging: Sideways price action with low volatility.
* Volatile: Large price swings but with no clear direction.
* Choppy: Unpredictable, messy price action to be cautious of.
This classification is displayed in real-time in the on-screen "Market Regime Display."
2. AI-Style Adaptive Trend Algorithm:
When "AI-Style Adaptation" is enabled, the core trend-following algorithm automatically adjusts its own internal parameters (Sensitivity and Period) based on the regime detected by the Phoenix Engine.
* In strong trends, it becomes less sensitive to ride the trend longer.
* In choppy or volatile markets, it becomes more conservative to help filter out noise.
This allows the indicator to dynamically adapt its behavior to the ever-changing personality of the market.
3. Adaptive Fibonacci TP/SL System:
The indicator's Take Profit (TP) and Stop Loss (SL) levels can operate in two modes:
* Standard Mode: Uses fixed Risk-Reward ratios set by the user.
* Adaptive Mode: This is the AI-style feature. It analyzes the historical success rate of signals within the current market regime to calculate and display:
* Adjusted TP/SL Levels: Levels are automatically widened or tightened based on what has historically worked best in that specific regime (e.g., wider TPs in strong trends, tighter TPs in ranging markets).
* Success Probabilities: An estimated probability (%) of reaching each TP level is shown on the chart.
* Expected Duration: An estimated time-to-target (in bars) is displayed for each TP, helping with trade management expectations.
4. Built-in Backtest & Data Analysis Engine:
To power the adaptive system, the indicator includes a powerful backtest engine that scans historical signals. It can operate in two modes:
* Deep Historical Scan: Analyzes thousands of past candles to build a robust statistical baseline.
* Recent Signals Only: Focuses only on the most recent signals within each regime, allowing the system to adapt more quickly to changing market character.
The results are displayed in a comprehensive on-screen "Backtest Statistics Table."
5. Multi-Layered Filtering System:
To qualify signals, the indicator allows for additional filters, including:
* Dual Moving Averages: Ensure signals align with a broader market trend (e.g., above the 200 SMA).
* Trading Session Filter: Restricts signals to specific user-defined trading hours.
How to Use This Indicator
1. Use the Feature Control Panel: The settings menu has been simplified. The top sections allow you to quickly toggle major visual components on or off to customize your chart.
2. Enable AI-Style Adaptation (Recommended): For the indicator to use the Phoenix Engine to its full potential, ensure "Enable AI-Style Adaptation" is checked.
3. Observe the Market Regime Display: This on-screen table is your guide to the current market's personality. It tells you the detected regime, its strength, and how the indicator is adapting.
4. Watch for Signals: A "BUY" or "SELL" signal indicates that the trend algorithm has detected a potential shift in direction.
5. Assess Adaptive TP/SL Levels: When a signal appears, observe the on-chart TP levels. The displayed probabilities and expected durations provide valuable context for managing the trade. For example, a high-probability TP1 with a short duration might be a good scalping target.
6. Use Tables for Deeper Insight: The "Backtest Statistics Table" provides a detailed breakdown of how signals have historically performed in each market regime, helping you decide which setups to trust more.
Intended Use & Limitations
* Recommended Assets: Designed for use on all assets. The Phoenix Engine's adaptive nature allows it to adjust to different market types automatically.
* Timeframes: Can be used on all timeframes.
Limitations:
* This is a tool to support analysis. It does not generate automatic buy or sell advice.
* The indicator is not a standalone strategy and does not guarantee results. Users are responsible for their own trading decisions.
* Probabilities and statistics are based on historical data and do not predict future results.
* Always use this tool in combination with your own analysis and a robust risk management plan.
We believe that no indicator is a magic solution. Technical analysis tools provide value through their convenience, adaptability, and unique logic. Combining these elements can help a trader make more educated and planned decisions, hopefully contributing to their overall success.
MA Crossover with +100 Target Label//@version=5
indicator("MA Crossover with +100 Target Label", overlay=true)
// === Input Parameters ===
shortPeriod = input.int(10, title="Short MA Period")
longPeriod = input.int(100, title="Long MA Period")
pointTarget = input.float(100.0, title="Target Points", step=0.1)
// === Moving Averages ===
shortMA = ta.sma(close, shortPeriod)
longMA = ta.sma(close, longPeriod)
// === Plotting MAs ===
plot(shortMA, title="Short MA", color=color.orange)
plot(longMA, title="Long MA", color=color.blue)
// === Crossover Detection ===
bullishCross = ta.crossover(shortMA, longMA)
bearishCross = ta.crossunder(shortMA, longMA)
// === Variables to Track Entry and Targets ===
var float buyPrice = na
var float sellPrice = na
var bool buyActive = false
var bool sellActive = false
// === On Buy Signal ===
if bullishCross
buyPrice := close
buyActive := true
sellActive := false // Reset opposite signal
sellPrice := na
label.new(bar_index, low, "Buy", style=label.style_label_up, color=color.green, textcolor=color.white)
// === On Sell Signal ===
if bearishCross
sellPrice := close
sellActive := true
buyActive :=
Two MA Crossover with Labels//@version=5
indicator("Two MA Crossover with Labels", overlay=true)
// === Input Parameters ===
shortPeriod = input.int(10, title="Short MA Period")
longPeriod = input.int(100, title="Long MA Period")
// === Moving Averages ===
shortMA = ta.sma(close, shortPeriod)
longMA = ta.sma(close, longPeriod)
// === Plotting MAs ===
plot(shortMA, color=color.orange, title="Short MA")
plot(longMA, color=color.blue, title="Long MA")
// === Crossover Conditions ===
bullishCross = ta.crossover(shortMA, longMA)
bearishCross = ta.crossunder(shortMA, longMA)
// === Labels ===
if bullishCross
label.new(bar_index, low, "Buy", style=label.style_label_up, color=color.green, textcolor=color.white)
if bearishCross
label.new(bar_index, high, "Sell", style=label.style_label_down, color=color.red, textcolor=color.white)
Gold Sniper ProGold Sniper Pro is a private invite-only indicator that provides precise BUY and SELL signals based on a combination of moving averages, price action, and candlestick patterns. The script automatically plots TP (Take Profit) and SL (Stop Loss) lines to help traders plan their exits visually.
Recommended timeframes are 15 minutes, 30 minutes 1 hour, and 4 hours.
It is suitable for Forex, crypto, gold, and indices.
Latest update:
- Added EMA lines for better trend confirmation
- Improved entry signal accuracy
- Enhanced overall system performance
This tool is designed for traders who want a premium and semi-automated experience on TradingView.
Please contact the FX Daddy team for access.
Trend StrengthTrend Strength Dashboard (11-Point System)
Description:
This indicator is a visually enhanced dashboard that evaluates 11 key technical signals to assess bullish momentum for stocks and ETFs. Each condition is displayed in a easy reading table for quick interpretation and visual appeal.
Signals include:
Higher highs and higher lows
Price above EMA21 and SMA200
SMA50 > SMA200
Positive slope on SMA50 and SMA200
RSI trending upward
Ideal for traders who want a clean, at-a-glance summary of market strength without scanning multiple charts or indicators.
Price Extension RatiosIdentifies where price is extended, positively or negatively, against the 21 Week EMA, with the objective of identifying market tops, bottoms and trending periods
Destek/Direnç + EMA + Trend Algılama yasar pamukdestek direnç trend algılama
Long short
Yaşar pamuk özel olarak açılmıştır.
AutoBiasProThe AutoBias indicator, built using Pine Script v6, is designed to identify market bias and generate trading signals by analyzing price action in conjunction with Open, High, Low, Close (OHLC) data. This indicator is ideal for traders aiming to capture trend direction and momentum shifts across various markets, such as forex, stocks, or cryptocurrencies, using OHLC patterns to confirm signals.
How to Use the AutoBias Indicator with OHLC
Setup:
Apply the AutoBias indicator to your chart on a platform supporting Pine Script v6 (e.g., TradingView).
Ensure OHLC candlestick data is visible on your chart for the chosen timeframe (e.g., 15-minute, 1-hour, or daily).
Configure the indicator’s settings if customization is available, or use default parameters.
Interpreting Signals:
Bullish Bias: The indicator signals a potential uptrend when it detects a bullish configuration (specific to its logic). Confirm this with OHLC patterns, such as a strong bullish candlestick (large body with close near the high) or a series of higher highs and higher lows.
Bearish Bias: A bearish signal is generated when the indicator identifies a downtrend. Validate this with OHLC patterns, such as a bearish candlestick (large body with close near the low) or lower highs and lower lows.
Neutral/No Bias: If the indicator shows no clear bias (e.g., indecisive signals), check for OHLC patterns like doji candles or tight consolidation ranges, indicating a lack of trend direction.
Trade Execution:
Entry:
For a bullish signal, enter a long position when a bullish OHLC pattern (e.g., engulfing bullish candle or strong close above the open) confirms the indicator’s signal.
For a bearish signal, enter a short position when a bearish OHLC pattern (e.g., engulfing bearish candle or close below the open) aligns with the indicator.
Confirmation: Only take trades when the indicator’s bias is supported by clear OHLC price action to reduce false signals.
Exit:
Exit long trades when the indicator shifts to a bearish bias or OHLC shows reversal patterns (e.g., shooting star or bearish engulfing).
Exit short trades when a bullish bias emerges or OHLC displays patterns like a hammer or bullish engulfing.
Trade Management:
Stop-Loss: Set stop-loss levels based on OHLC data, such as below the low of the entry candle for longs or above the high for shorts.
Take-Profit: Target key levels identified through OHLC analysis, such as recent swing highs/lows or a risk-reward ratio of 1:2 or higher.
Trailing Stop: Adjust stops based on OHLC structure, trailing below higher lows for longs or above lower highs for shorts.
Best Practices:
Timeframe Alignment: Use higher timeframes (e.g., 4-hour or daily) for swing trading to filter noise, or lower timeframes (e.g., 5-minute) for scalping, ensuring OHLC patterns align with the indicator’s bias.
Combine with Context: Analyze OHLC patterns near key support/resistance levels or during high-volume periods to increase signal reliability.
Risk Management: Limit risk to 1-2% of capital per trade, using OHLC-derived stop-loss levels to manage exposure.
Backtesting: Test the indicator and OHLC combination on historical data to assess performance in your chosen market and timeframe.
Example Scenario
Chart Setup: Apply AutoBias on a 1-hour EUR/USD chart with OHLC candlesticks.
Observation: The indicator signals a bullish bias. A candlestick closes significantly above its open with a small lower wick, confirming strong buying pressure.
Action: Enter a long position at the candle’s close. Set a stop-loss below the candle’s low and a take-profit at the next resistance level identified on the chart.
Monitoring: Exit the trade if the indicator shifts to a bearish bias or a bearish OHLC pattern (e.g., close below open with a long upper wick) appears.
Limitations
The AutoBias indicator may generate false signals in choppy markets. Use OHLC patterns to filter out weak signals during consolidation.
OHLC confirmation is subjective; practice identifying reliable patterns to avoid misinterpretation.
Always backtest the indicator and OHLC strategy to ensure compatibility with your trading style and market conditions.
By combining the AutoBias indicator with OHLC analysis, traders can make informed decisions, leveraging price action to confirm market bias and execute high-probability trades.
This description focuses solely on the usage of the AutoBias indicator with OHLC, avoiding any mention of EMAs as requested. If you have specific details about the AutoBias indicator’s logic or additional features, please provide them for a more tailored explanation!
Gabriel's Weibull Stdv. SuperTrend📈 Gabriel's Weibull Stdv. SuperTrend
Description:
Gabriel’s Weibull Stdv. SuperTrend is a custom trend-following indicator that blends the statistical rigor of the Weibull Moving Average with the adaptive nature of the Standard Deviation-based SuperTrend.
This hybrid system dynamically adjusts its trend bands using a Weibull-weighted average, emphasizing more recent price action while allowing the curve to flexibly adapt based on two key Weibull parameters: Shape (k) and Scale (λ). The bands themselves are shifted by a multiple of standard deviation, offering a volatility-sensitive approach to trend detection.
🔧 Key Components:
Weibull Moving Average (WMA):
A smoothing function that assigns weights to historical prices using the Weibull distribution, controlled via Shape and Scale parameters.
SuperTrend Logic with Adaptive Bands:
Standard deviation is calculated over a user-defined length and scaled with a factor to set upper and lower thresholds around the WMA.
Trend Direction Detection:
The algorithm identifies bullish or bearish states based on crossover logic relative to the dynamic bands.
Visual Enhancements:
Bright green/red lines for SuperTrend direction.
Midpoint overlay and color-coded candles for clarity.
Filled zones between price and trend for visual emphasis.
⚙️ User Inputs:
Source: Price data to analyze (default: close).
Stdv. Length: Period for calculating standard deviation.
Factor: Multiplier to widen or narrow the SuperTrend bands.
Window Length: Lookback period for the Weibull MA.
Shape (k): Controls the skewness of the Weibull distribution.
Scale (λ): Stretches or compresses the weighting curve.
🔔 Alerts:
Long Entry Alert: Triggered when the trend flips bullish.
Short Entry Alert: Triggered when the trend flips bearish.
🧠 Use Cases:
Catch early reversals using custom-tailored smoothing.
Identify high-confidence trend shifts with dynamic volatility.
Combine with other confirmation indicators for enhanced entries.
HMA Trend Line (Croc Signal Line)HMA Trend Line (Croc Signal Line) — The Ultimate Hull Moving Average Trend Indicator
Full English description here:
What is the HMA Trend Line (Croc Signal Line)?
The HMA Trend Line (Croc Signal Line) is a powerful, adaptive trend indicator for TradingView, based on the Hull Moving Average (HMA). This indicator is designed to help traders identify real market trends with less lag and reduced noise compared to traditional moving averages like SMA (Simple Moving Average) and EMA (Exponential Moving Average).
Why use the HMA Trend Line?
+ Faster Trend Detection: The Hull Moving Average (HMA) responds more quickly to price action, giving you earlier buy and sell signals.
+ Smoother and Cleaner: It provides a visually clean trend line that avoids the choppiness of classic EMAs and SMAs.
+ Reduced Lag: The HMA Trend Line follows the market closer, helping you avoid late entries or exits and spot trend reversals sooner.
+ Dynamic Support and Resistance: Use the line as a dynamic support or resistance to manage trades and identify pullbacks or breakouts.
What does “Croc Signal Line” mean?
The “Croc” in Croc Signal Line stands for:
+ Clean
+ Responsive
+ Optimized
+ Curve
This highlights the unique advantage of this indicator: a curve that is both fast-reacting and smooth, helping traders focus on real trends and filter out market noise.
How does the Hull Moving Average (HMA) work?
The HMA was developed by Alan Hull and uses weighted moving averages and a unique calculation to deliver both responsiveness and smoothness. Unlike standard moving averages, the HMA reacts faster to new price moves and avoids false signals in ranging or volatile markets.
How to use the HMA Trend Line (Croc Signal Line) on TradingView?
+ Watch for price crossing above the trend line for potential bullish signals, and below for bearish signals.
+ Use on any timeframe: from 1-minute scalping to daily, weekly, or even monthly charts.
+ Works with all asset classes: Forex, stocks, indices, cryptocurrencies, commodities, and futures.
+ Combine with other indicators (like Stochastics, RSI, or volume) for confirmation and to build your unique trading strategy.
+ Adjust the Signal Line Period for your market and style: shorter periods for faster markets, longer for smoother trends.
Who should use this indicator?
+ Day traders, swing traders, and long-term investors looking for reliable, actionable trend signals.
+ Anyone seeking a cleaner, more responsive alternative to the classic moving averages.
+ Traders who want a simple, visually clear way to filter out market noise and see real price direction.
Disclaimer:
This indicator is for educational and study purposes only. Please perform your own backtesting and analysis before using it in live trading. This script does not constitute financial advice. Use at your own risk.
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EMA9 vs EMA20 (Estilo MACD, eje acotado)🔷 What does it do?
Plots a moving line that represents the difference between the 9-period EMA and the 20-period EMA.
The zero level acts as the baseline (i.e., EMA20).
Every time the line crosses zero:
📈 Bullish crossover → EMA9 crosses above EMA20.
📉 Bearish crossover → EMA9 crosses below EMA20.
🔒 Visual clarity:
The chart is locked between -600 and +600, making crossovers easy to see without scaling issues.
Perfect for confirming trend direction or momentum shifts.
🔔 Built-in alerts:
You can set alerts for both bullish and bearish crossovers directly in TradingView.
🧠 MACD-inspired, but cleaner:
Instead of multiple lines and a histogram, you get one clean line moving around a fixed axis. Simple and powerful.
⚙️ Works with:
✅ TradingView (Pine Script v5)
✅ Any asset and any timeframe
📩 Want the source code? DM me and I’ll send it to you 🔧
Let me know if you'd like me to make a flyer or visual version of this too!
Volatility-Aware SMA Crossover🧠 Volatility-Aware SMA Crossover
This premium indicator detects trend reversals using a smart blend of moving average crossovers, volatility spikes, and volume surges. Unlike basic cross strategies, it only fires signals when the market shows real momentum — filtering out noise and fakeouts.
How it works:
✔️ SMA Crossovers reveal trend shifts
✔️ ATR Volatility Filter confirms market activity is alive
✔️ Volume Spike Filter ensures real interest behind moves
Perfect for traders who want clean entries, less noise, and more confidence.
🔒 Invite-Only | 🎯 Built for scalpers, swing traders, and strategy stackers alike
