13/48 EMA Trading Scalper (ATR TP/SL)13/48 EMA Trading Scalper (ATR TP/SL)
What it does:
This tool looks for price “touches” of the 13-EMA, only takes CALL entries when the 13 is above the 48 (uptrend) and PUT entries when the 13 is below the 48 (downtrend), and confirms with a simple candle pattern (green > red with expansion for calls, inverse for puts). Touch sensitivity is ATR-scaled, so signals adapt to volatility. Each trade gets auto-drawn entry, TP, and SL lines, colored labels with $ / % distance from entry, plus optional TP/SL hit alerts. A rotating color palette and per-bar label staggering help keep the chart readable. Old objects are auto-pruned via maxTracked.
How it works
Trend filter: 13-EMA vs 48-EMA.
Entry: ATR-scaled touch of the 13-EMA + candle confirmation.
Risk: TP/SL = ATR multiples you control.
Visuals: Entry/TP/SL lines (extend right), vertical entry marker (optional), multi-line labels.
Hygiene: maxTracked keeps only the last N trades’ objects; labels are staggered to reduce overlap.
Alerts: Buy Call, Buy Put, Take Profit Reached, Stop Loss Hit.
Key Inputs
Fast EMA (13), Trend EMA (48), ATR Length (14)
Touch Threshold (x ATR) – how close price must come to the EMA
Take Profit (x ATR), Stop Loss (x ATR)
maxTracked – number of recent trades to keep on chart
Tips
Start with Touch = 0.10–0.20 × ATR; TP=2×ATR, SL=1×ATR, then tune per symbol/timeframe.
Works on intraday and higher TFs; fewer, cleaner signals on higher TFs.
This is an indicator, not a broker—always backtest and manage risk.
Medias móviles
Zero Lag LSMA 3-Color# Zero Lag LSMA 3-Color Indicator
## Overview
The Zero Lag LSMA (ZLSMA) 3-Color is an advanced trend-following indicator that reduces the lag inherent in traditional Linear Regression Moving Averages (LSMA). This indicator provides clear visual signals through a color-coded system and dot markers to identify trend changes with minimal delay.
## What is Zero Lag LSMA?
Zero Lag LSMA is calculated by applying the Linear Regression Moving Average twice and then compensating for the lag:
1. **First LSMA**: Calculate LSMA of the price data
2. **Second LSMA**: Calculate LSMA of the first LSMA
3. **Zero Lag Calculation**: ZLSMA = LSMA + (LSMA - LSMA2)
This method significantly reduces the delay while maintaining the smoothness of the trend line.
## Features
### Color-Coded Trend System
- **Fluorescent Green** (`RGB(0, 255, 0)`): Uptrend - ZLSMA is rising
- **Fluorescent Red** (`RGB(255, 20, 60)`): Downtrend - ZLSMA is falling
- **Gray**: Sideways/Neutral - No clear directional bias
### Trend Change Markers
- **Tiny dots** appear at the exact moment when the trend direction changes
- **Green dots**: Mark the beginning of an uptrend
- **Red dots**: Mark the beginning of a downtrend
### Customizable Parameters
- **Length**: Period for ZLSMA calculation (default: 20)
- **Line Width**: Thickness of the ZLSMA line (default: 2)
- **Show/Hide Toggle**: Option to display or hide the indicator
## Trading Applications
### Trend Identification
- **Green line**: Look for long opportunities
- **Red line**: Look for short opportunities
- **Gray line**: Consider range-bound strategies
### Entry Signals
- **Dot markers** provide precise entry points when trend changes occur
- Green dots can signal potential buy entries
- Red dots can signal potential sell entries
### Trend Confirmation
- Use ZLSMA color changes to confirm other technical analysis signals
- The reduced lag helps traders enter trends earlier than traditional moving averages
## Advantages Over Traditional Moving Averages
1. **Reduced Lag**: Responds faster to price changes than standard moving averages
2. **Clear Visualization**: Color-coding makes trend direction immediately apparent
3. **Precise Timing**: Dot markers highlight exact trend change moments
4. **Smooth Operation**: Maintains smoothness while reducing whipsaws
## Best Practices
### Timeframe Usage
- Works effectively on all timeframes
- Higher timeframes provide more reliable signals
- Lower timeframes offer more trading opportunities but may have more noise
### Risk Management
- Always use proper stop-loss levels
- Consider the overall market context
- Combine with other technical analysis tools for confirmation
### Settings Optimization
- **Shorter periods** (10-15): More sensitive, faster signals
- **Longer periods** (25-50): More stable, fewer false signals
- **Standard period** (20): Good balance between sensitivity and stability
## Alert Conditions
The indicator includes built-in alert conditions for:
- ZLSMA turning upward (trend change to bullish)
- ZLSMA turning downward (trend change to bearish)
## Compatibility
- **Platform**: TradingView
- **Script Version**: Pine Script v6
- **Chart Type**: Works on all chart types
- **Markets**: Suitable for Forex, Stocks, Crypto, Commodities, and Indices
## Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always conduct your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
Momentum_EMABand📢 Reposting Notice
I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements.
🆕 Momentum EMA Band, Rule-Based System
Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework.
Originality comes from the specific sequence and interaction of these three filters:
Supertrend → Sets directional bias.
EMA Band breakout with retest logic → Times precise entries.
ADX filter → Confirms momentum strength and avoids noise.
This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid.
🔧 How the Indicator Works — Combined Logic
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper & lower EMA bands (default: 9-period EMA).
Green Band → Price above upper EMA = bullish momentum
Red Band → Price below lower EMA = bearish pressure
Yellow Band → Price within band = neutral zone
Acts as a consolidation zone and breakout trigger level.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend adapts to volatility:
Green Line = Uptrend bias
Red Line = Downtrend bias
Ensures trades align with the prevailing trend.
3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter
Manual ADX calculation (default: length 14).
If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones.
🧩 Why This Mashup Works
Supertrend confirms trend direction.
EMA Band breakout & retest validates the breakout’s strength.
ADX ensures the market has enough trend momentum.
When all align, entries are higher probability and whipsaws are reduced.
📈 Example Trade Walkthrough
Scenario: 5-minute chart, ADX threshold = 20.
Supertrend turns green → trend bias is bullish.
Price consolidates inside the yellow EMA Band.
ADX rises above 20 → trend momentum confirmed.
Price closes above the green EMA Band after retesting the band as support.
Entry triggered on candle close, stop below band, target based on risk-reward.
Exit when Supertrend flips red or ADX momentum drops.
This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets.
🎯 Key Features
✅ Multi-layered confirmation for precision trading
✅ Built-in no-trade zone filter
✅ Fully customizable parameters
✅ Clean visuals for quick decision-making
⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
[Pandora][Swarm] Rapid Exponential Moving AverageENVISIONING POSSIBILITY
What is the theoretical pinnacle of possibility? The current state of algorithmic affairs falls far short of my aspirations for achievable feasibility. I'm lifting the lid off of Pandora's box once again, very publicly this time, as a brute force challenge to conventional 'wisdom'. The unfolding series of time mandates a transcendental systemic alteration...
THE MOVING AVERAGE ZOO:
The realm of digital signal processing for trading is filled with familiar antiquated filtering tools. Two families of filtration, being 'infinite impulse response' (EMA, RMA, etc.) and 'finite impulse response' (WMA, SMA, etc.), are prevalently employed without question. These filter types are the mules and donkeys of data analysis, broadly accepted for use in finance.
At first glance, they appear sufficient for most tasks, offering a basic straightforward way to reduce noise and highlight trends. Yet, beneath their simplistic facade lies a constellation of limitations and impediments, each having its own finicky quirks. Upon closer inspection, identifiable drawbacks render them far from ideal for many real-world applications in today's volatile markets.
KNOWN FUNDAMENTAL FLAWS:
Despite commonplace moving average (MA) popularity, these conventional filters suffer from an assortment of fundamental flaws. Most of them don't genuinely address core challenges of how to preserve the true dynamics of a signal while suppressing noise and retaining cutoff frequency compliance. Their simple cookie cutter structures make them ill-suited in actuality for dynamic market environments. In reality, they often trade one problem for another dilemma, forsaking analytics to choose between distortion and delay.
A deeper seeded issue remains within frequency compliance, how adequately a filter respects (or disrespects) the underlying signal’s spectral properties according to it's assigned periodic parameter. Traditional MAs habitually distort phase relationships, causing delayed reactions with surplus lag or exaggerations with excessive undershoot/overshoot. For applications requiring timely resilience, such as algorithmic trading, these shortcomings are often functionally unacceptable. What’s needed is vigorous filters that can more accurately retain signal behaviors while minimizing lag without sacrificing smoothness and uniformity. Until then, the public MA zoo remains as a collection of corny compromises, rather than a favorable toolbelt of solutions.
P.S.: In PSv7+, in my opinion, many of these geriatric MAs deserve no future with ease of access for the naive, simply not knowing these filters are most likely creating bigger problems than solving any.
R.E.M.A.
What is this? I prefer to think of it as the "radical EMA", definitely along my lines of a retire everything morte algorithm. This isn't your run of the mill average from the petting zoo. I would categorize it as a paradigm shifting rampant economic masochistic annihilator, sufficiently good enough to begin ruthlessly executing moving averages left and right. Um, yeah... that kind of moving average destructor as you may soon recognize with a few 'Filters+' settings adjustments, realizing ordinary EMA has been doing us an injustice all this time.
Does it possess the capability to relentlessly exterminate most averaging filters in existence? Well, it's about time we find out, by uncaging it on the loose into the greater economic wilderness. Only then can we truly find out if it is indeed a radical exponential market accelerant whose time has come. If it is, then it may eventually become a reality erasing monolithic anomaly destined for greatness, ultimately changing the entire landscape of trading in perpetuity.
UNLEASHING NEXT-GEN:
This lone next generation exoweapon algorithm is intended to initiate the transformative beginning stages of mass filtration deprecation. However, it won't be the only one, just the first arrival of it's alien kind from me. Welcome to notion #1 of my future filtration frontier, on this episode of the algorithmic twilight zone. Where reality takes a twisting turn one dimension beyond practical logic, after persistent models of mindset disintegrate into insignificance, followed by illusory perception confronted into cognitive dissonance.
An evolutionary path to genuine advancement resides outside the prison of preconceptions, manifesting only after divergence from persistent binding restrictions of dogmatic doctrines. Such a genesis in transformative thinking will catalyze unbounded cognitive potential, plowing the way for the cultivation of total redesigns of thought. Futuristic innovative breakthroughs demand the surrender of legacy and outmoded understandings.
Now that the world's largest assembly of investors has been ensembled, there are additional tasks left to perform. I'm compelled to deploy this mathematical-weapon of mass financial creation into it's rightful destined hands, to "WE THE PEOPLE" of TV.
SCRIPT INTENTION:
Deprecate anything and everything as any non-commercial member sees desirably fit. This includes your existing code formulations already in working functional modes of operation AND/OR future projects in the works. Swapping is nearly as simple as copying and pasting with meager modifications, after you have identified comparable likeness in this indicators settings with a visual assessment. Results may become eye opening, but only if you dare to look and test.
Where you may suspect a ta.filter() is lacking sufficient luster or may be flat out majorly deficient, employing rema, drema, trema, or qrema configurations may be a more suitable replacement. That's up to you to discern. My code satire already identifies likely bottom of the barrel suspects that either belong in the extinction record or have already been marked for deprecation. They are ordered more towards the bottom by rank where they belong. SuperSmoother is a masterpiece here to stay, being my original go-to reference filter. Everything you see here is already deprecated, including REMA...
REMA CHARACTERISTICS
- VERY low lag
- No overshoot
- Frequency compliant
- Proper initialization at bar_index==0
- Period parameter accepts poitive floating point numerics (AND integers!)
- Infinite impulse response (IIR) filter
- Compact code footprint
- Minimized computational overhead
200 EMA w/ Ticker Memory200 EMA w/ Ticker Memory — Multi-Symbol & Multi-Timeframe EMA Tracker with Alerts
Overview
The 200 EMA w/ Ticker Memory indicator allows you to monitor the 200-period Exponential Moving Average (EMA) across multiple symbols and timeframes. Designed for traders managing multiple tickers, it provides customizable timeframe inputs per symbol and instant alerts on price touches of the 200 EMA.
Key Features
Multi-symbol support: Configure up to 20 different symbols, each with its own timeframe setting.
Flexible timeframe input: Assign specific timeframes per symbol or use a default timeframe fallback.
Accurate 200 EMA calculation: Uses request.security to fetch 200 EMA from the symbol-specific timeframe.
Visual EMA plots: Displays both the EMA on the selected timeframe and the EMA on the current chart timeframe for comparison.
Touch alerts: Configurable alerts when price “touches” the 200 EMA within a user-defined sensitivity percentage.
Ticker memory: Remembers your configured symbols and displays them in an on-chart table.
Compact info table: Displays current symbol status, alert settings, and timeframe in a clean, transparent table overlay.
How to Use
Configure Symbols and Timeframes:
Input your desired symbols (up to 20) and their respective timeframes under the “Symbol Settings” groups in the indicator’s settings pane.
Set Default Timeframe:
Choose a default timeframe to be used when no specific timeframe is assigned for a symbol.
Adjust Alert Settings:
Enable or disable alerts and set the touch sensitivity (% distance from EMA to trigger alerts).
Alerts
Alerts trigger once per bar when the price touches the 200 EMA within the defined sensitivity threshold.
Alert messages include:
Symbol / Current price / EMA value / EMA timeframe used / Chart timeframe / Timestamp
Customization
200 EMA Color: Change the line color for better visibility.
Touch Sensitivity: Fine-tune how close price must be to the EMA to count as a touch (default 0.1%).
Enable Touch Alerts: Turn on/off alert notifications easily.
For:
- Swing traders monitoring multiple stocks or assets.
- Day traders watching key EMA levels on different timeframes.
- Analysts requiring a quick visual and alert system for 200 EMA touches.
- Portfolio managers tracking key technical levels across various securities.
Limitations
Supports up to 20 configured symbols (can be extended manually if needed).
Works best on charts with reasonable bar frequency due to request.security usage.
Alert frequency is limited to once per bar for clarity.
Disclaimer
This indicator is provided “as-is” for educational and informational purposes only. It does not guarantee trading success or financial gain.
Hull Moving Average Quantum Pro - Advanced Trading SystemThe Hull Moving Average Quantum Pro is a next-generation technical analysis tool that combines the legendary smoothness of Alan Hull's HMA formula with advanced quantum field visualization technology. This professional-grade indicator features three synchronized Hull Moving Average periods working in harmony to identify high-probability trading opportunities.
🎯 KEY FEATURES:
• Multi-Timeframe HMA Confluence - Triple HMA system (9, 21, 55 periods) for comprehensive trend analysis
• Quantum Field Visualization - Fibonacci-based dynamic support/resistance bands with 0.618, 1.0, and 1.618 ratios
• Energy Flow Momentum - Real-time visual representation of market momentum and directional bias
• Confluence Zone Detection - Automatically highlights areas where multiple HMAs converge for high-probability setups
• Professional Holographic Dashboard - Real-time trend strength, momentum, and market status display
• Three Visual Themes - Dark Intergalactic (Quantum Trading), Light Minimal (Clean Charts), Pro Modern (Low Saturation)
⚡ WHAT MAKES IT UNIQUE:
Unlike traditional moving average indicators, the HMA Quantum Pro eliminates lag while maintaining smoothness, providing traders with faster signals without sacrificing reliability. The quantum field visualization adds a new dimension to price action analysis by creating dynamic zones that adapt to market volatility.
📊 PERFECT FOR:
• Day Trading & Scalping - Fast HMA (9) provides quick entry/exit signals
• Swing Trading - Medium HMA (21) confirms trend continuation
• Position Trading - Slow HMA (55) identifies major trend changes
• All Markets - Forex, Stocks, Crypto, Futures, Indices
🔧 ADVANCED SETTINGS:
• Customizable HMA periods for any trading style
• Adjustable confluence threshold for precision filtering
• Visual intensity control for optimal chart clarity
• Field transparency settings for multi-indicator setups
💡 HOW TO USE:
1. Strong Bullish Signal - All three HMAs aligned upward with price above quantum fields
2. Strong Bearish Signal - All three HMAs aligned downward with price below quantum fields
3. Confluence Zones - High probability reversal/continuation areas
4. Energy Flow - Confirms momentum direction and strength
⭐ FREE VERSION FEATURES:
This free version includes all visual features and calculations. Premium version (coming soon) will add advanced alerts, multi-timeframe analysis, and AI-powered trade suggestions.
Created by professional traders for serious market participants. The Hull Moving Average formula was created by Alan Hull to reduce lag while maintaining smoothness - this indicator enhances that foundation with modern visualization technology.
8 EMA ScannerThis script allows you to see the market sentiment with a quick glance. If price is above the 8EMA, the background will be shaded green and if price is below the 8EMA, it will be red.
BTC Correlation PercentagePurpose
This indicator displays the correlation percentage between the current trading instrument and Bitcoin (BTC/USDT) as a text label on the chart. It helps traders quickly assess how closely an asset's price movements align with Bitcoin's fluctuations.
Key Features
Precise Calculation: Shows correlation as a percentage with one decimal place (e.g., 25.6%).
Customizable Appearance: Allows adjustment of colors, position, and calculation period.
Clean & Simple: Displays only essential information without cluttering the chart.
Universal Compatibility: Works on any timeframe and with any trading pair.
Input Settings
Core Parameters:
BTC Symbol – Ticker for Bitcoin (default: BINANCE:BTCUSDT).
Correlation Period – Number of bars used for calculation (default: 50 candles).
Show Correlation Label – Toggle visibility of the correlation label.
Visual Customization:
Text Color – Label text color (default: white).
Background Color – Label background color (default: semi-transparent blue).
Border Color – Border color around the label (default: gray).
Label Position – Where the label appears on the chart (default: top-right).
Interpreting Correlation Values
70% to 100% → Strong positive correlation (asset moves in sync with BTC).
30% to 70% → Moderate positive correlation.
-30% to 30% → Weak or no correlation.
-70% to -30% → Moderate negative correlation (asset moves opposite to BTC).
-100% to -70% → Strong negative correlation.
Practical Use Cases
For Altcoins: A correlation above 50% suggests high dependence on Bitcoin’s price action.
For Futures Trading: Helps assess systemic risks tied to BTC movements.
During High Volatility: Determines whether an asset’s price change is driven by its own factors or broader market trends.
How It Works
The indicator recalculates automatically with each new candle. For the most reliable results, it is recommended for use on daily or higher timeframes.
This tool provides traders with a quick, visual way to gauge Bitcoin’s influence on other assets, improving decision-making in crypto markets. 🚀
This response is AI-generated, for reference only.
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Advanced VWAP Multi-MA System with Bollinger Bands & Dashboard📊 Key Features:
Core Functionality:
* VWAP Calculation with customizable anchor periods (Session/Week/Month/Quarter/Year)
* Multiple Moving Average Types (EMA, SMA, WMA, HMA, RMA, VWMA)
* Three MA Lengths (Fast: 9, Medium: 21, Slow: 50)
* Standard Deviation Bands with 3 levels (1σ, 2σ, 3σ)
* Dynamic band multipliers (adjustable from 0.5 to 5.0)
🎨 Visual Theme System:
* Theme Types: Dark, Light, Pro
* Visual Styles: Quantum, Holographic, Crystalline, Plasma, Nebula
* Visual Intensity Control (20-100%)
* Multi-layer Harmonic Nodes with gradient effects
* Energy Flow Lines based on momentum
* Minimal signal dots for buy/sell conditions
📈 Holographic Dashboard:
* Real-time VWAP position tracking
* MA trend analysis (Bullish/Bearish/Neutral)
* Band position indicator (±1σ, ±2σ, ±3σ)
* Volatility percentage
* Momentum direction
* Current visual theme display
✨ Visual Effects:
* Quantum Fields: Multi-layer boxes with dynamic transparency
* Energy Flow: Momentum-based directional lines
* Gradient Fills: Between bands and MAs
* Borderless Design: Clean, modern appearance
* Emoji Headers: Enhanced visual appeal (⚡ 🌌 📊 🔮)
🎯 Trading Signals:
* Bullish Signal: Close > VWAP AND Close > Fast MA AND Fast MA > Medium MA
* Bearish Signal: Close < VWAP AND Close < Fast MA AND Fast MA < Medium MA
SmartTrade - ALMCorpHello everyone! I’d like to introduce my creation—the Smart Trade indicator. I’ve identified certain patterns and discovered that specific moving averages, at certain deviations, can have a strong impact on price. So, what does this indicator do?
It uses the daily timeframe as the basis for displaying levels. For each cryptocurrency, a unique deviation coefficient is calculated for each level. Essentially, we take two deviation zones—the buy zone and the sell zone—treating them as 0 and 1, respectively. From there, we can plot internal levels based on the Fibonacci sequence.
To summarize:
The indicator displays two main zones (buy/sell).
It also shows internal Fibonacci levels, which exert strong influence on price movements.
For convenience, each level is marked with its corresponding numerical value.
Key Levels for Altcoins: The 0.25–0.5 Range and Imbalance
For many altcoins, the most critical levels are 0.25 and 0.5. Prices tend to stay within this range most of the time—breaking beyond these levels signals a market imbalance, which is usually short-lived.
Example Scenario:
Normal Movement: Price moves between 0.25 (support) and 0.5 (resistance).
Downside Break (Imbalance): If price falls below 0.25 into the buy zone (green area), the failure to hold 0.25 creates a strong imbalance. This typically forces price back up into its usual range.
Upside Break (Imbalance): Similarly, if price breaks above 0.5 (e.g., reaching 0.75), this also creates imbalance, and price tends to revert back down into its standard range.
Conclusion:
Most altcoins trade primarily between 0.25 and 0.5.
A breakout in either direction usually results in a temporary imbalance, which the market quickly corrects.
By recognizing these patterns, we can make more informed trading decisions.
Visualizing Imbalances – From Small to Large
In the chart above, I’ve highlighted all imbalances, ranging from minor to major.
Why This Indicator is Perfect for Spot Trading
I’ve developed a trading strategy for this indicator that displays:
Buy signals (with entry zones)
Average entry price
Sell signals
How the Buy Signals Work:
BUY 1 – Triggered when price touches the upper boundary of the buy zone.
BUY 2 – Activated when price reaches the middle of the buy zone.
BUY 3 – Executed when price tests the lower boundary of the buy zone.
This structured approach ensures you capitalize on optimal entry points while managing risk.
Understanding the Average Entry Line & Profit-Taking System
You may have noticed an additional line on the chart above, displayed alongside the buy signals. This is the average entry line, which represents your mean entry price—calculated based on executing equal-sized purchases at each buy signal (BUY 1, BUY 2, BUY 3).
Where to Sell? Smart Profit-Taking Rules
While precise entries are critical, knowing when to exit is equally important. Here’s how the system works:
Primary Take-Profit Level (0.375)
Historically, this level offers the optimal balance for quick profit-taking.
Adaptive Exit Strategy
If the position is unprofitable by the time of closure, the system automatically shifts the exit to the next higher level (0.5).
This ensures you lock in greater gains when the market favors your trade.
Advanced Performance Tracking & Asset Selection
The indicator provides comprehensive trade analytics, displayed in the bottom-right information panel:
Trade count tracking (total number of executed trades)
Cumulative profitability (combined returns across all trades)
Average profitability per trade (total returns ÷ trade count)
How to Leverage This Data
These metrics allow you to:
Identify high-potential assets
Example: Asset A shows 5% average profit/trade vs. Asset B with 40% → prioritize Asset B for spot trading.
Filter for optimal volatility
Higher average profitability often correlates with stronger momentum/volatility.
Multi-Market Utility
While designed for spot trading, the indicator’s imbalance detection (described earlier) also works for:
Futures market analysis
Entry point identification
Simple Crossover MME 5/20
Description:
This indicator plots a 5-period Exponential Moving Average (EMA) in red and a 20-period EMA in blue.
It provides clear visual signals for crossovers:
A green triangle appears when the 5 EMA crosses above the 20 EMA (bullish signal).
A red triangle appears when the 5 EMA crosses below the 20 EMA (bearish signal).
Built-in alerts are available for both bullish and bearish crossover events.
Option 2 (More Detailed)
Title: 5 EMA / 20 EMA Crossover Strategy with Visual Signals & Alerts
Description:
This script is designed to track one of the most popular moving average strategies: the crossover between the 5-period and 20-period Exponential Moving Averages (EMA). It's a clean and straightforward tool for identifying potential shifts in short-term trend momentum.
Features:
5-Period EMA: Plotted in Red.
20-Period EMA: Plotted in Blue.
Bullish Crossover Signals: A green triangle is plotted below the price bar when the 5 EMA (Red) crosses above the 20 EMA (Blue), suggesting potential upward momentum.
Bearish Crossover Signals: A red triangle is plotted above the price bar when the 5 EMA (Red) crosses below the 20 EMA (Blue), suggesting potential downward momentum.
Customizable Alerts: The indicator includes built-in alert conditions. You can easily set up real-time notifications for every "buy" (crossover) or "sell" (crossunder) signal.
How to Use:
Add the indicator to your chart.
To receive notifications, create an alert and select this indicator as the condition. Choose either the "Bullish Crossover" or "Bearish Crossover" option.
Heikinashi laguerreThis Pine Script indicator called "Heikinashi Laguerre" combines the Heikin Ashi candlestick technique with the Laguerre Moving Average (Laguerre MA) to provide a smooth, trend-following trading tool. It is designed for traders to better identify trend direction, filter noise, and generate buy and sell signals with clear visual cues.
Trading description and usage of this combined approach:
Heikin Ashi Candles smooth price data by averaging price points, providing clearer visualization of trends with fewer false signals compared to traditional candlesticks. Bullish Heikin Ashi candles appear as translucent green and bearish as translucent black, helping traders spot uptrends and downtrends with greater clarity.
The Laguerre Moving Average (Laguerre MA) is an advanced type of moving average known for its responsiveness and smoothness, filtering out market noise while staying adaptive. Traders can adjust the sensitivity via the alpha parameter.
The indicator computes Heikin Ashi prices on a user-selected timeframe, independent of the chart’s timeframe, allowing multi-timeframe analysis within the same chart.
Trend Identification and Filtering: The buy signal is triggered when the Heikin Ashi candle is bullish (close > open) and the price closes above the Laguerre MA, signaling a strong uptrend continuation. Conversely, the sell signal triggers when the Heikin Ashi candle is bearish (close < open) and the price closes below the Laguerre MA.
Visual aids on chart include:
Colored Heikin Ashi candles for immediate trend recognition.
Subtle background coloring to distinguish bullish (green) and bearish (red) trends.
Optional arrow markers to flag bullish and bearish candles.
Buy (green) and sell (red) labels placed below or above bars when their conditions are met, which helps recognize entry points easily.
Date Range Filter helps restrict signals to a specific trading period as defined by the user, offering customized historical or forward-looking trade analysis.
This fusion of Heikin Ashi candles and Laguerre MA is suited for traders looking for a balance between smoothing price data and maintaining timely trend responsiveness, typically useful in swing and trend-following strategies.
Scalping Indicator (EMA + RSI)Buy and Sell Signals. Use with Supply and Demand to find good entries. Do not rely solely on this signal. Monitors with short and long EMA cross along with oversold or overbought RSI.
HMA V1 – Hull ATR SuperTrend with HTF Gate (Optimized for ES & NOverview
HMA V1 is a directional trend-following indicator designed for ES and NQ futures, combining a Hull ATR-based SuperTrend system with a Higher Timeframe HMA gate to filter entries. It can also be used on major indices and liquid stocks, but accuracy will be lower compared to ES/NQ optimization.
The indicator generates Buy and Sell signals based on the alignment of short-term price action with the higher timeframe trend filter. The logic is tuned for both scalping (more frequent signals, lower win rate) and day trading (fewer signals, higher win rate).
⸻
Signal Logic
1. Base Trend Engine:
• Uses an ATR-based Hull Moving Average (HMA) to dynamically calculate upper and lower bands for trend detection.
• Price crossing above the upper band in an uptrend = potential Buy trigger.
• Price crossing below the lower band in a downtrend = potential Sell trigger.
2. HTF HMA Gate Filter:
• All signals must pass a Higher Timeframe HMA check to confirm the broader trend direction.
• This acts as a noise filter, reducing false signals in choppy conditions.
3. Timeframe Behavior:
• Long Signals:
• Works best on 15m for day trading (higher win rate).
• 5m gives more scalping opportunities but with more false signals.
• If you want to trade longs, uncheck “Lock Long Signals to Specific Timeframe” for flexibility.
• Short Signals:
• Currently only coded to appear on 5m timeframe (bug to be fixed in future versions).
4. Partial Profit Logic (optional):
• Although not enforced in this version, the system is often used with partial profit-taking at fixed % targets and moving stops to breakeven after P1.
⸻
Best Use Practices:
• ES/NQ Futures: Best performance and most accurate filtering.
• Other Indices/Stocks: Usable but expect lower accuracy; re-tune ATR/HMA parameters for better results.
• Scalping: Use 5m for quicker entries, accept more noise.
• Day Trading: Use 15m for fewer, higher-probability setups.
• Always combine with your own market structure and higher timeframe bias for best results.
⸻
Known Bugs / Limitations:
• Long signal lock is sometimes overly restrictive — uncheck the “Lock Long Signals to Specific Timeframe” option to see more entries.
• Short signals currently only appear on the 5m timeframe.
Michalke Momentum IndexMichalke Momentum Index (MMI) is an indicator I made with the aim of predicting Gold prices. I built it around the 8h chart but it can be applied to any chart.
I hope using this will help you significantly.
[teachershim] draw sma 9/25/50/100/200/400📌 Description — draw sma 9/25/50/100/200/400
This indicator displays Simple Moving Averages (SMA) for periods 9, 25, 50, 100, 200, and 400 on the chart.
It also marks the last confirmed bar’s SMA values with circular dots positioned to the right by a user-defined offset,
and labels each dot with the SMA period number for quick visual reference.
🔹 Features
SMA Lines
Plots SMA lines for periods 9 / 25 / 50 / 100 / 200 / 400 in distinct colors and thickness.
Last Value Markers
Adds circular markers (dots) at the SMA value of the last confirmed bar, shifted right by the specified offset.
SMA Period Labels
Displays the SMA period number (e.g., "9", "25", "50") just above each dot.
Customizable Parameters
Right offset for marker placement.
Vertical gap between marker and label (in percentage of chart range).
🔹 Parameters
Right Offset: Number of bars to place the marker/label to the right of the last bar.
Text Vertical Gap (%): Percentage offset to position the label above the dot.
🔹 Colors & Line Thickness
SMA 9 → Teal, thickness 1
SMA 25 → Orange, thickness 2
SMA 50 → Blue, thickness 2
SMA 100 → Purple, thickness 1
SMA 200 → Red, thickness 2
SMA 400 → Gray, thickness 1
🔹 Use Cases
Quickly identify key support/resistance levels across multiple SMA periods.
Instantly see the current SMA values without hovering over the chart.
Monitor SMA alignment and spacing for trend analysis or trading setups.
💡 Notes
If the right offset is too large, ensure your chart’s right margin is wide enough to display the markers.
max_labels_count in Pine Script limits how many labels can be displayed at once.
If you want, I can also make you a shorter, more concise “marketplace style” version for TradingView’s public library so it’s punchier and attracts more clicks.
Do you want me to prepare that?
Megago88 - DEMA 20 & 50 Touch Alert Go ahead if you want to notify alert when it touches Double Moving Average Exponential 20 and/or 50. Feel free to use.
-megago88
Trend+Volume Confluence IndicatorScalper and swing trading signals: use the 15–30 minute charts for scalps and the 4–8 hour charts for swings. Add the Money Flow Index (MFI) for extra confluence. In an uptrend, if the MFI is at or above the halfway mark and rising, take the long. In a downtrend, if the MFI is at or below the halfway mark and falling, take the short.
EMA Deviation with Min/Max Levelshis indicator visualizes the percentage deviation of the closing price from its Exponential Moving Average (EMA), helping traders identify overbought and oversold conditions. It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, highlighting extreme zones with color-coded signals:
• 🔵 Normal deviation range
• 🔴 Near historical maximum — potential sell zone
• 🟢 Near historical minimum — potential buy zone
Use it to spot price extremes relative to trend and anticipate possible reversals or mean reversion setups.
Daily Signal Alert**📄 English Description (English version)**
**Indicator Name:** Daily Signal Alert + Multi-Indicator Dashboard & Volume Profile
This all-in-one indicator combines multiple technical analysis tools into a single dashboard to help you read market movements easily and make better trading decisions.
It provides technical signals, key support/resistance levels, and a basic volume profile, along with a smart alert system.
**Included Indicators:**
1. **Exponential Moving Averages (EMA 9/20/50):**
* Shows current trend by comparing EMA9 & EMA20 with EMA50.
* Generates bullish and bearish crossover signals.
2. **MACD (12/26/9):**
* Generates bullish and bearish crossovers between MACD line and Signal line.
3. **Relative Strength Index (RSI 14):**
* Detects overbought (RSI > 70) and oversold (RSI < 30) conditions.
4. **Average Directional Index (ADX 14):**
* Measures trend strength and indicates if the trend is bullish or bearish.
5. **Candle Behavior (Squeeze):**
* Compares the current candle size with the previous one to detect momentum squeeze/expansion.
6. **Relative Volume (RVOL):**
* Shows if current volume is above or below average.
7. **Traditional Pivot Levels (Daily / Weekly / Monthly / Auto):**
* Displays key support and resistance levels.
8. **Approximate Volume Profile (POC / VAH / VAL):**
* Identifies Point of Control (POC) and Value Area range.
**Features:**
* Option to display all signals or only the latest one (removing old ones).
* Dashboard table summarizing indicator states with automatic coloring.
* Automatic alerts when any signal appears.
* Auto mode for pivot timeframe selection.
* Basic volume profile to highlight accumulation/distribution zones.
**How to Use:**
* Enable or disable “Show All Signals” depending on your trading style.
* Monitor the dashboard to quickly check indicator states.
* Use Pivot Levels & Volume Profile for key market zones.
* Enable alerts to get notified immediately after a candle closes.
**📄 Arabic Description (الوصف العربي)**
**اسم المؤشر:** Daily Signal Alert + Multi-Indicator Dashboard & Volume Profile
هذا المؤشر المتكامل يجمع بين عدة أدوات تحليل فني في لوحة واحدة، ليساعدك على قراءة حركة السوق بسهولة واتخاذ قرارات تداول أفضل.
المؤشر يعرض إشارات فنية، مستويات دعم ومقاومة، وجانب من تحليل حجم التداول، بالإضافة إلى نظام تنبيه ذكي.
**المؤشرات المدمجة:**
1. **المتوسطات المتحركة الأسية (EMA 9/20/50):**
* يعرض الاتجاه الحالي عبر مقارنة EMA9 و EMA20 مع EMA50.
* إشارات تقاطع صاعدة وهابطة.
2. **مؤشر الماكد (MACD 12/26/9):**
* يعطي إشارات تقاطع صاعدة وهابطة بين خط الماكد وخط الإشارة.
3. **مؤشر القوة النسبية (RSI 14):**
* يحدد حالات التشبع الشرائي (RSI > 70) والتشبع البيعي (RSI < 30).
4. **مؤشر الاتجاه المتوسط (ADX 14):**
* يقيس قوة الاتجاه مع تحديد إذا كان صاعداً أو هابطاً.
5. **سلوك الشموع (Squeeze):**
* يقارن حجم الشمعة الحالية مع السابقة لتحديد ضغط أو انفراج الحركة.
6. **حجم التداول النسبي (RVOL):**
* يحدد إذا كان حجم التداول أعلى أو أقل من المتوسط.
7. **مستويات Pivot التقليدية (Daily / Weekly / Monthly / Auto):**
* تعرض نقاط الدعم والمقاومة الرئيسية.
8. **بروفايل الحجم التقريبي (POC / VAH / VAL):**
* يحدد نقطة التحكم (POC) ومنطقة القيمة.
**المزايا:**
* عرض جميع الإشارات أو آخر إشارة فقط (مع حذف الإشارات القديمة).
* جدول ملخص لحالة كل مؤشر مع تلوين تلقائي.
* تنبيهات تلقائية عند ظهور أي إشارة فنية.
* دعم الوضع التلقائي لاختيار إطار مستويات الـ Pivot.
* عرض بروفايل حجم تداول تقريبي لمناطق التجميع/التوزيع.
**طريقة الاستخدام:**
* فعّل أو عطّل عرض جميع الإشارات حسب أسلوبك.
* راقب الجدول لمعرفة حالة المؤشرات لحظياً.
* استخدم مستويات الـ Pivot والبروفايل لتحديد مناطق الدعم والمقاومة.
* فعّل التنبيهات لتصلك الإشارات فور إغلاق الشمعة.
MK_OSFT - Multi-timeframe MA Lines with labelsProvides SMA/EMA levels on a chart for the 5m, 15m, 1H and 4H timeframes. It does not draw the full MA's on the chart but provides 'only' the actual MA values at the current candle as a horizontal line with a label.
Moving Average Relative StrengthShow the relative strength of a stock with respect to 50 ma versus an index
Multi-Timeframe SMA IndicatorOverview
The Multi-Timeframe Simple Moving Average (SMA) Indicator is a technical analysis tool designed for use in TradingView, written in Pine Script (version 6). It calculates and displays SMAs across multiple timeframes on a single chart, enabling traders to analyze price trends from various temporal perspectives simultaneously. This indicator is particularly useful for traders who employ multi-timeframe analysis to confirm trends, identify support and resistance levels, and make informed trading decisions.
Features
Multiple Timeframes: The indicator supports ten customizable timeframes: 1-minute, 2-minute, 3-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly. This allows traders to observe price trends across short-term, medium-term, and long-term perspectives.
Configurable SMA Lengths: Users can adjust the periods for three SMAs: 20-period, 50-period, and 200-period. These lengths are commonly used to represent short-term, medium-term, and long-term trends, respectively.
Customizable Colors: Each SMA (20, 50, and 200) can be assigned a unique color (default: blue for SMA 20, red for SMA 50, green for SMA 200) to distinguish them visually across different timeframes.
Overlay on Chart: The indicator is overlaid directly on the price chart, making it easy to compare SMAs with price action without cluttering the workspace.
Flexible Timeframe Selection: Users can modify the timeframes via input settings, allowing adaptability to different trading strategies (e.g., scalping, swing trading, or long-term investing).
Settings
The indicator provides the following configurable inputs:
Timeframe Inputs
1-Minute Timeframe: Default set to '1' (1-minute chart).
2-Minute Timeframe: Default set to '2'.
3-Minute Timeframe: Default set to '3'.
5-Minute Timeframe: Default set to '5'.
15-Minute Timeframe: Default set to '15'.
30-Minute Timeframe: Default set to '30'.
1-Hour Timeframe: Default set to '60'.
4-Hour Timeframe: Default set to '240'.
Daily Timeframe: Default set to 'D'.
Weekly Timeframe: Default set to 'W'.
SMA Length Inputs
SMA Length 20: Default set to 20 periods (short-term trend).
SMA Length 50: Default set to 50 periods (medium-term trend).
SMA Length 200: Default set to 200 periods (long-term trend).
Color Inputs
SMA 20 Color: Default is blue.
SMA 50 Color: Default is red.
SMA 200 Color: Default is green.
Plot Settings
Each SMA is plotted with a linewidth of 1 for most timeframes, except for the weekly timeframe, which uses a linewidth of 2 for better visibility.
Each SMA is labeled with its respective timeframe and period for easy identification in the chart’s legend.
Advantages
Comprehensive Trend Analysis: By displaying SMAs across multiple timeframes, the indicator allows traders to confirm trends across different scales. For example, a bullish signal on a 1-minute chart can be validated by checking alignment with higher timeframes like the 1-hour or daily charts.
Versatility: The indicator is adaptable to various trading styles, including day trading (using shorter timeframes like 1-minute or 5-minute) and swing trading (using 4-hour or daily timeframes).
Customizability: Traders can adjust SMA lengths and timeframes to suit their specific strategies, such as focusing on shorter periods for faster signals or longer periods for more reliable trends.
Visual Clarity: The use of distinct colors and clear labeling helps traders quickly differentiate between SMAs of different periods and timeframes, reducing confusion on complex charts.
Support and Resistance Identification: The 200-period SMA, in particular, often acts as a dynamic support or resistance level, especially on higher timeframes like daily or weekly, aiding in strategic entry and exit points.
Cross-Platform Compatibility: Built in Pine Script v6, the indicator is fully compatible with TradingView’s platform, ensuring seamless integration and performance.
Usage Tips
Trend Confirmation: Use the alignment of SMAs across timeframes to confirm trends. For instance, when the SMA 20 is above the SMA 50, and both are above the SMA 200 on multiple timeframes, it indicates a strong bullish trend.
Crossover Signals: Look for crossovers between the SMA 20 and SMA 50 for potential buy or sell signals. Confirm these with higher timeframe SMAs to filter out false signals.
Multi-Timeframe Strategy: Combine shorter timeframes (e.g., 1-minute, 5-minute) for entry points and longer timeframes (e.g., 4-hour, daily) for trend direction to enhance trade accuracy.
Adjust SMA Lengths: Experiment with different SMA lengths based on the asset’s volatility. For highly volatile assets, shorter SMAs (e.g., 10 or 15) may provide faster signals, while less volatile assets may benefit from longer SMAs.
Limitations
Lagging Indicator: As with all SMAs, this indicator is based on historical data, which may lag behind rapid price movements, potentially delaying signals in fast-moving markets.
Chart Clutter: Plotting SMAs for all ten timeframes can make the chart visually complex. Traders may need to toggle off certain timeframes to focus on relevant ones.
No Signal Generation: The indicator plots SMAs but does not include built-in alerts or signals for crossovers or trend changes, requiring manual interpretation.
Conclusion
The Multi-Timeframe SMA Indicator is a powerful and flexible tool for traders seeking to incorporate multi-timeframe analysis into their strategies. Its ability to display customizable SMAs across various timeframes provides a comprehensive view of market trends, making it suitable for traders of all experience levels. By leveraging its features, traders can enhance their decision-making process, improve trade timing, and better navigate dynamic market conditions.