EMA6 or SMA6 Touch AlertThis script monitors the market and notifies you whenever the price touches either the 6-period EMA or the 6-period SMA.
It helps identify potential pullbacks, reaction points, or entry zones, as price interaction with these moving averages often signals short-term market shifts.
What the script does:
Calculates the EMA 6 and SMA 6
Detects if price touches either moving average within the candle
Plots both lines on the chart for visibility
Allows you to set alerts to receive automatic notifications
Best suited for:
Scalping
Day Trading
Pullback Entries
Short-term trend reactions
Media mobile esponenziale (EMA)
(15M) Gold Daily Signal — Invite OnlyQuick Start
Symbol XAUUSD, timeframe 15m.
Defaults: TP 50 pips, SL 150 pips.
Wait for green (long) or red (short) background after bar close.
Place orders at the plotted Entry / TP / SL; optional scale-ins at E1/E2.
Max signals kept on chart – housekeeping only (limits old drawings).
Alerts
Turn Green → ready-to-buy signal.
Turn Red → ready-to-sell signal.
Create alerts once per bar close and keep the default message or customize.
Malama's MTF MA Alignment ScannerMalama's Multi-Timeframe Moving Average Alignment Scanner (MTF MA Scanner) is an overlay indicator designed to simplify trend analysis by evaluating the alignment of multiple moving averages (MAs) across user-defined timeframes. It scans for bullish (MAs stacked ascending), bearish (descending), or mixed/neutral configurations, incorporating a VWAP (Volume Weighted Average Price) filter to contextualize price position relative to volume-based equilibrium. The result is a compact dashboard table summarizing signals from up to three timeframes, helping traders spot confluence for entries or reversals without manually switching charts. This tool draws from classic MA ribbon concepts but adds flexible MA types, dynamic sorting, and an overall trend score for quicker multi-TF insights.
Core Mechanics
The indicator processes data in layers to detect alignment and bias:
Moving Average Calculation: Supports five customizable MAs per timeframe, with types including Simple (SMA), Exponential (EMA), Double Exponential (DEMA for reduced lag), Smoothed (SMMA), or Butterworth 2-Pole filter (a low-lag recursive smoother approximating Ehlers' design for cleaner signals). Defaults use EMAs at lengths 6, 9, 21, 56, and 200—shorter for fast trends, longer for structure. Users enable/disable each independently.
Alignment Detection: For enabled MAs, it dynamically sorts them by length (shortest first) and checks their relative order: All ascending (shortest MA > longest) signals "Bullish" (uptrend strength); all descending signals "Bearish" (downtrend); otherwise "Mixed" or "Neutral" (if <2 MAs). This avoids bias from unsorted plots.
VWAP Integration: Computes session-anchored VWAP (daily/weekly/monthly) as a volume-weighted mean, classifying price as "Above" (bullish bias) or "Below" (bearish) to filter alignments—e.g., bullish MA stack above VWAP strengthens longs.
Multi-Timeframe Aggregation: Pulls MA and VWAP data from up to three timeframes (e.g., current, 5m, 15m) using secure requests without lookahead bias. It consolidates into a table: Per-TF rows show alignment status (with icons: ✅ Bullish, ❌ Bearish, ⚠️ Mixed, ➖ Neutral), VWAP icon/status (📈 Above, 📉 Below), current price, and optional MA values (e.g., "9 EMA: 1.2345").
Overall Summary: Counts bullish/bearish TFs for a net score (e.g., 2/3 bullish = "Weak Bullish"), highlighting confluence in the final row.
This setup emphasizes regime detection: Aligned short-term MAs confirm momentum, while longer ones validate structure, all filtered by VWAP for volume context.
Why This Adds Value & Originality
Standard MA crossovers or ribbons often clutter charts or require manual TF switches, leading to analysis fatigue. Here, the mashup of diverse MA types (e.g., lag-reduced DEMA with smooth Butterworth) into a sortable alignment check creates a "trend thermometer" that's adaptable—e.g., EMAs for responsiveness in forex, SMAs for stocks. The VWAP layer adds a fair-value anchor absent in pure MA tools, while the dashboard condenses MTF data into one glanceable view with a net score, reducing cognitive load. It's not a simple merge: Dynamic UDT-based sorting ensures consistent evaluation regardless of user tweaks, and optional value display aids precise level targeting. This makes it uniquely practical for confluence trading, evolving basic alignment into a scannable system without repainting risks.
How to Use
Setup: Add to your chart (overlay=true). In inputs: Enable TFs (e.g., 1H for structure, 15m/5m for entries); customize MAs (e.g., switch to DEMA for volatile crypto); set VWAP anchor (Daily for intraday). Toggle table position/size and chart plots.
Interpret the Dashboard (top-right default):
Per-TF Rows: Green cells for Bullish (long bias); red for Bearish (short); orange for Mixed (caution); gray for Neutral/low data. Check VWAP for confirmation—e.g., Bullish + Above = strong buy setup.
MA Values Column (if enabled): Lists current levels (e.g., "21 EMA: 4500.50") for support/resistance pulls.
Overall Row: "Strong Bullish" (all green) for aggressive longs; "Weak" variants for scaled entries. Score like "2/3" shows TF agreement.
Trading Application: On a 1H chart, look for 3/3 Bullish with price above VWAP for longs—enter on pullback to shortest MA. Use alerts (e.g., "All Timeframes Bullish") for notifications. Best on liquid assets (e.g., EURUSD, SPX) across 15m-4H. Combine with price action for edges.
Customization Tips: Disable unused MAs to declutter; test Butterworth on noisy data for smoother aligns.
Limitations & Disclaimer
Alignments lag by MA lengths and TF resolutions, so they're directional filters—not precise entries (pair with candlesticks). VWAP resets on anchors, potentially skewing mid-session. In sideways markets, "Mixed" dominates—avoid forcing trades. No built-in risk management; backtest on your symbols (e.g., via Strategy Tester) to validate. Results use historical data without guarantees—markets evolve. Not financial advice; trade at your own risk. For feedback, comment publicly.1.1s
Better DEMAThe Better DEMA is a new tool designed to recreate the classical moving average DEMA, into a smoother, more reliable tool. Combining many methodologies, this script offers users a unique insight into market behavior.
How does it work?
First, to get a smoother signal, we need to calculate the Gaussian filter. A Gaussian filter is a smoothing filter that reduces noise and detail by averaging data with weights following a Gaussian (bell-shaped) curve.
Now that we have the source, we will calculate the following:
n2 = n/2 (half of the user defined length)
a = 2/(1+n)
ns
Now that we have that out of the way, it is time to get into the core.
Now we calculate 2 EMAs:
slow EMA => EMA over n
fast EMA => EMA over n2 period
Rather then now doing this:
DEMA = fast EMA * 2 - slow EMA
I found this to be better:
DEMA = slow EMA * (1-a) + fast EMA * a
As a last touch I took a little something from the HMA, and used a EMA with period of √n to smooth the entire the thing.
The Trend condition at base is the following (but feel free to FAFO with it):
Long = dema > dema yesterday and dema < src
Short = dema < dema yesterday and dema > src
Methodology
While the DEMA is an amazing tool used in many great indicators, it can be far too noisy.
This made me test out many filters, out of which the Gaussian performed best.
Then I tried out the non subtractive approach and that worked too, as it made it smoother.
Compacting on all I learned and smoothing it bit by bit, I think I can say this is worth looking into :).
Use cases:
Following Trends => classic, effective :)
Smoothing sources for other indicators => if done well enough, could be useful :)
Easy trend visualization => Added extra options for that.
Strategy development => Yes
Another good thing is it does not a high lookback period, so it should be better and less overfit.
That is all for today Gs,
Have fun and enjoy!
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
Adaptive Trend OscillatorAdaptive Trend Oscillator (ATO) — Publishing Description and User Guide
Purpose
The Adaptive Trend Oscillator (ATO) is a research and decision‑support indicator designed to help traders assess momentum, trend stability, and changing volatility conditions within a single, unified panel. It provides a configurable signal line, optional confidence bands, adaptive zones, and contextual Bollinger Band cues. ATO is intended for educational and analytical use on TradingView charts and does not execute trades or make investment recommendations.
Methodology (High‑Level Overview)
ATO integrates several well‑known concepts into a cohesive framework while avoiding proprietary implementation details:
- Core Oscillator: A smoothed momentum line derived from standard price‑based calculations (e.g., RSI) with confidence‑aware coloring to reflect relative stability and recent behavior.
- Signal Candle Visualization: A Heikin‑Ashi style signal candle, computed from the oscillator series, helps users visually interpret direction, strength, and transitions. Smoothing controls reduce jitter in the open component to improve readability.
- Volatility Regime Detection: Rolling dispersion and average comparisons classify conditions into Low/Medium/High volatility regimes. This regime context informs confidence scoring and adaptive visualization.
- Adaptive Zones: Overbought/Oversold zones adjust to market conditions using observed distribution and lookback windows, offering dynamic boundaries that can better reflect regime changes compared with fixed thresholds.
- Bollinger Context: Bands applied to the oscillator series provide cues about contraction (squeeze), expansion (divergence), and convergence. Optional fills highlight changing states while remaining purely informational.
- Confidence Bands: Optional envelopes around the oscillator estimate uncertainty ranges derived from recent behavior and regime context. These bands are visual aids, not predictions.
- Performance Mode: An optional toggle that simplifies visuals (thinner lines, reduced fills, disabling inner layers) to improve responsiveness on devices or layouts where rendering cost matters. Calculations remain unchanged.
Inputs and Configuration (Summary)
ATO organizes settings for clarity and quick start:
- Quick Start & Display Toggles: Show/hide key elements such as adaptive zones, confidence bands, and Bollinger fills; enable Performance Mode for faster rendering.
- Core Signal Tuning: Adjust smoothing for the signal candle open, choose theme, and set lookback parameters used in the underlying oscillator and contextual measures.
- Visualization Layers: Confidence bands, inner/outer envelopes, and color themes can be enabled or disabled as needed.
Intended Use and Application
- ATO is most effective as a complementary tool. Use it alongside price action, volume, risk management rules, and broader market context.
- Signals should be validated with multiple factors (support/resistance, higher‑timeframe bias, and instrument characteristics). Parameter tuning is recommended for different assets and timeframes.
- The indicator does not generate trade orders. Any buy/sell interpretations are at the user’s discretion and should be independently evaluated.
Limitations and Risks
- No Guarantees: The indicator cannot predict future prices. Visual cues reflect historical and current data only.
- Lag and Whipsaws: Smoothing improves stability but introduces lag. During range‑bound or choppy conditions, oscillators may experience false starts or rapid flips.
- Data Quality and Availability: Calculations rely on TradingView‑provided data, which may include delays or revisions depending on the data source and subscription.
- User Configuration: Improper or aggressive settings may reduce effectiveness. Always backtest and forward‑test configurations before use.
Required Disclosures and Regulatory Statements
- Educational Use Only: ATO is provided for informational and educational purposes. It does not constitute investment advice, solicitation, or a recommendation to buy or sell any security or derivative.
- No Advisor Relationship: The publisher is not acting as a broker, dealer, investment advisor, or fiduciary. Users are solely responsible for decisions made using the indicator.
- Past Performance: Past performance, whether shown in charts or inferred from historical signals, does not guarantee future results.
- Risk of Loss: Trading and investing involve substantial risk. You can lose more than your initial capital. Consider your financial situation, risk tolerance, and seek advice from a qualified, licensed professional where appropriate.
- Jurisdictional Compliance: Users must comply with all applicable laws and regulations in their jurisdiction and with TradingView’s Terms of Use and House Rules.
Attribution and Code Notes
- ATO relies on standard Pine Script constructs and common analytical concepts (e.g., RSI, Bollinger Band‑style dispersion, Heikin‑Ashi visualization). No external data sources are accessed.
- Calculations and visual layers are original work tailored for research utility. Specific implementation details are intentionally summarized to respect intellectual property and maintain clarity.
Publishing‑Friendly Content Guidelines
- No exaggerated claims, guarantees, or sensational language are used. Descriptions focus on functionality, method, and limitations.
- The indicator is positioned as a tool for research and decision support, not as a promise of profit or certainty.
Getting Started (Suggested Workflow)
1) Add ATO to your chart and choose a theme suitable for your background (Light/Dark).
2) Enable/disable visualization layers (Adaptive Zones, Confidence Bands, Bollinger Fill) to match your preference.
3) Adjust signal smoothing and lookback parameters to fit your instrument and timeframe; conservative settings generally produce steadier signals.
4) Optional: Turn on Performance Mode if you use multiple panels or need faster UI responsiveness; this simplifies visuals while preserving calculations.
5) Validate signals with price structure, volume context, and higher‑timeframe bias before making any decision.
Support and Contact
- For questions or feedback, please use TradingView direct messages to the publisher’s account: .
- Personal financial advice is not provided. Support is limited to general usage guidance and technical questions about the indicator.
Final Reminder
ATO is a tool for analysis, not a guarantee of outcomes. Always manage risk, perform independent research, and remember that past performance does not guarantee future results.
EMA 10/50 Multi-Pair Scanner (LANRE²)This script is an EMA 10/50 multi-pair scanner that:
Monitors multiple symbols (pairs or indices).
Scans multiple timeframes (M1, M5, H1, etc.).
Detects when the 10 EMA crosses above/below the 50 EMA.
Displays a dashboard showing the current trend ("BUY", "SELL", or "⚠ NEAR CROSS").
Optionally sends alerts when new crosses or near-cross events occur.
Plots EMA lines and buy/sell markers on your current chart.
WSH - Calvin / Scott EMA'sProvides EMA's as described by Calvin Hill along with some other EMA's including Hull, SSMA and some settings to turn on or off some of the noise.
ema200 plus Description:
This advanced indicator displays Exponential Moving Averages (EMA) across multiple timeframes to help traders identify trend direction and strength across different market perspectives.
Key Features:
Multi-Timeframe EMA Analysis:
Plots 200-period EMA on four different timeframes: 30-minute, 1-hour, 4-hour, and Daily
Each timeframe is displayed with distinct colors for easy visual identification
Visual Elements:
Chart Lines: Four colored EMA lines plotted directly on the price chart
Price Labels: Clear labels showing each EMA's current value at the latest bar
Color-coded Table: Comprehensive data table showing price position relative to each EMA
Trend Identification:
Bullish Signal: When price closes above an EMA (green background in table)
Bearish Signal: When price closes below an EMA (dark background in table)
Helps identify confluence when multiple timeframes align in direction
Customizable Settings:
Adjustable EMA length (default: 200 periods)
Customizable line width and offset
Flexible table positioning (top/middle/bottom, left/center/right)
Configurable table cell size and text appearance
Swing traders analyzing multiple timeframes
Position traders looking for trend confirmation
Technical analysts seeking confluence across time horizons
This indicator provides a comprehensive view of market trends across different time perspectives, helping traders make more informed decisions based on multi-timeframe analysis.
This indicator does not provide trading advice. It is for educational and informational purposes only.
**指标名称：多时间框架200 EMA**
**描述：**
这款高级指标在多个时间框架上显示指数移动平均线（EMA），帮助交易者识别不同市场视角下的趋势方向和强度。
**主要特点：**
1. **多时间框架EMA分析：**
- 在四个不同时间框架上绘制200周期EMA：30分钟、1小时、4小时和日线
- 每个时间框架使用独特颜色显示，便于视觉识别
2. **视觉元素：**
- **图表线：** 在价格图表上直接绘制四条彩色EMA线
- **价格标签：** 清晰显示最新K线处各EMA的当前值
- **颜色编码表格：** 综合数据表格显示价格相对于各EMA的位置
3. **趋势识别：**
- **看涨信号：** 当价格收于EMA上方时（表格中显示绿色背景）
- **看跌信号：** 当价格收于EMA下方时（表格中显示深色背景）
- 帮助识别多个时间框架方向一致时的共振信号
4. **可自定义设置：**
- 可调整EMA长度（默认：200周期）
- 可自定义线宽和偏移量
- 灵活的表格定位（上/中/下，左/中/右）
- 可配置表格单元格大小和文本外观
**适合人群：**
- 分析多时间框架的摆动交易者
- 寻求趋势确认的头寸交易者
- 寻找不同时间维度共振信号的技术分析师
MarketMonkey-Indicator-Set-1 - GMMA open 🧠 MarketMonkey-Indicator-Set-1 — GMMA Open
GMMA (Guppy Multiple Moving Average) Toolkit for Trend Clarity & Timing
The MarketMonkey GMMA Open indicators brings a clean, high-performance visual of trend strength and direction using multiple exponential moving averages (EMAs) across short- and long-term time frames.
Designed for traders who want to see momentum shifts and market transitions as they happen, this version overlays directly on the price chart for quick and confident reads.
🔍 How It Works
* Short-term EMAs (3–15) track trader sentiment and momentum.
* Long-term EMAs (30–60) show investor trend commitment.
* The indicator dynamically colors the long-term EMAs:
* 🔵 Blue : Upward momentum
* 🔴 Red : Downward momentum
When the short-term group expands above the long-term group, it signals strength and potential continuation. Tightening or compression may warn of pauses or reversals.
💡 Features
* 12 adjustable EMA periods (customize your GMMA spacing)
* Automatic color shifts for trend clarity
* Live price flag for easy reference
* Compact ticker/date display in the top-right corner
* Minimalist, overlay-based design — no clutter, just clarity
📈 Best Used For
* Spotting early trend changes
* Confirming continuation or breakout setups
* Identifying compression zones before reversals
* Overlaying on ASX, S&P, FX, Gold, or Crypto charts
🔔 Part of the MarketMonkey Indicator Set series — tools built for real-world trend recognition and momentum trading.
EMA Cloud + AlertsThe only EMA indicator you'll ever need.
- Flexible EMAs: Customize EMA lengths (e.g., 9, 21) to match your trading style.
- Dynamic Cloud: Auto-shades bullish (green) or bearish (red) clouds between EMAs for clear trend signals.
- Trend Change Alerts: Auto-alerts that signal when a trend change (EMA crossover) happens on the timeframe you're currently viewing.
- Timeframe Lock: Lock EMAs to a specific timeframe (e.g., 5m on a 1m chart) for consistent analysis.
- Personalized Design: Adjust EMA colors, thickness, and cloud transparency for optimal visibility.
A friendly reminder that no tool or indicator guarantees success. Integrate this into a robust trading plan.
SMC + CRT Gold Flow PRO — Fixed RGB ColorsSCRIPT FOR GOLD. I used SMC + CRT strategies. I analyze in H4 timeframe and enter in m15 time frame.
20 EMA Undercut Bounce - M4v3r1ck💎 The "EMA Undercut Bounce" Bullish Scanner
This indicator is designed to identify high-conviction continuation patterns where price makes a temporary dip for liquidity before resuming a powerful, established uptrend. It specifically looks for a bullish rejection off the 20-period Exponential Moving Average (EMA).
🎯 Strategy Logic
The signal is generated only on the Daily (1D) timeframe when the following five precise conditions are met on the most recent completed bar:
1. Price Action (The Undercut Bounce)
• Undercut: The bar's low price must have touched or temporarily traded below the 20-Day EMA.
• Rejection: The bar's close price must have fully recovered and closed above the 20-Day EMA. This is the classic sign of strong buying pressure defending a key support level.
2. Strong Trend Hierarchy (The Bullish Stack)
The moving averages must be perfectly stacked, confirming a robust multi-timeframe uptrend structure:
• 10-Day EMA > 20-Day EMA
• 20-Day EMA > 50-Day SMA
• 50-Day SMA > 200-Day SMA
3. Momentum Confirmation (The Upward Slope)
Both the 10-Day EMA and the 20-Day EMA must be rising from the previous day. This ensures that the short-term trend momentum is positive, ruling out signals during flat or turning markets.
💡 How to Use This Indicator
1. Timeframe: Ensure your chart is set to the Daily (1D) timeframe for accurate results.
2. Signal: A Green Background highlight and an Up-Arrow below the bar mark a confirmed signal.
3. Alerts: Use the built-in alert condition to set up notifications for stocks on your watchlist, allowing you to catch these high-quality setups without constantly monitoring charts.
This script is ideal for trend-following traders looking to enter a position after a healthy shakeout and confirmation of continued bullish commitment.
Short TimeFrame MAs with momentum cloudsThis indicator displays multiple moving averages to help identify short- and mid-term trends.
It includes four SMAs (9, 50, 150, 200) and two EMAs (21, 55) with color changes showing bullish or bearish momentum.
The area between the EMAs is filled to highlight trend direction.
An optional smoothing layer lets you apply different MA types or Bollinger Bands for additional clarity.
It’s designed to give a clear visual of overall trend strength, direction, and volatility on any timeframe.
[LTS] Marubozu Candle StrategyOVERVIEW
The Marubozu Candle Strategy identifies and trades wickless candles (Marubozu patterns) with dynamic take-profit and stop-loss levels based on market volatility. This indicator combines traditional Japanese candlestick pattern recognition with modern volatility-adjusted risk management and includes a comprehensive performance tracking dashboard.
A Marubozu candle is a powerful continuation pattern characterized by the complete absence of wicks on one side, indicating strong directional momentum. This strategy specifically detects:
- Bullish Marubozu: Close > Open AND Low = Open (no lower wick)
- Bearish Marubozu: Close < Open AND High = Open (no upper wick)
When price returns to test these levels, the indicator generates trading signals with predefined risk-reward parameters.
CORE METHODOLOGY
Detection Logic:
The script scans each bar for Marubozu formations using precise price comparisons. When a wickless candle appears, a horizontal line extends from the opening price, marking it as a potential support (bullish) or resistance (bearish) level. These levels remain active until price touches them or until the maximum line limit is reached.
EMA Filter (Optional):
An exponential moving average filter enhances signal quality by requiring proper trend alignment. For bullish signals, price must be above the EMA when touching the level. For bearish signals, price must be below the EMA. This filter reduces counter-trend trades and improves win rates in trending markets. Users can disable this filter for range-bound conditions.
Dynamic Risk Management:
The strategy employs ATR-based (Average True Range) position sizing rather than fixed point values. This approach adapts to market volatility automatically:
- In low volatility: Tighter stops and targets
- In high volatility: Wider stops and targets proportional to market movement
Default settings use a 2:1 reward-to-risk ratio (1x ATR for take-profit, 0.5x ATR for stop-loss), but users can adjust these multipliers to match their trading style.
HOW IT WORKS
Step 1 - Pattern Detection:
On each bar, the indicator evaluates whether the candle qualifies as a Marubozu by comparing the high, low, open, and close prices. When detected, the opening price becomes the key level.
Step 2 - Level Management:
Horizontal lines extend from each Marubozu's opening price. The indicator maintains two separate arrays: one for unbroken levels (actively extending) and one for broken levels (historical reference). Users can configure how many of each type to display, preventing chart clutter while maintaining relevant context.
Step 3 - Signal Generation:
When price returns to touch a Marubozu level, the indicator evaluates the EMA filter condition. If the filter passes (or is disabled), the script draws TP/SL boxes showing the expected profit and loss zones based on current ATR values.
Step 4 - Trade Tracking:
Each valid signal enters the tracking system, which monitors subsequent price action to determine outcomes. The script identifies whether the take-profit or stop-loss was hit first (discarding trades where both trigger on the same candle to avoid ambiguous results).
PERFORMANCE DASHBOARD
The integrated dashboard provides real-time strategy analytics to automatically convert results to dollar values for any instrument:
Tracked Metrics:
- Total Trades: Complete count of closed positions
- Wins/Losses: Individual counts with color coding
- Win Rate: Success percentage with dynamic color (green >= 50%, red < 50%)
- Total P&L: Cumulative profit/loss in dollars
- Avg Win: Mean dollar amount per winning trade
- Avg Loss: Mean dollar amount per losing trade
NOTE: The dollar values shown in the dashboard are for trading only a single share/contract/etc. You will need to manually multiply those numbers by the amount of shares/contracts you are trading to get a true value.
The dollar conversion works automatically across all markets:
- Futures contracts (ES, NQ, CL, etc.) use their contract specifications
- Forex pairs use standard lot calculations
- Stocks and crypto use their respective point values
This eliminates manual calculation and provides immediate performance feedback in meaningful currency terms.
CUSTOMIZATION OPTIONS
ATR Settings:
- ATR Period: Lookback length for volatility calculation (default: 14)
- TP Multiplier: Take-profit distance as multiple of ATR (default: 3.0)
- SL Multiplier: Stop-loss distance as multiple of ATR (default: 1.5)
EMA Settings:
- EMA Length: Period for trend filter calculation (default: 9)
- Use EMA Filter: Toggle trend confirmation requirement (default: enabled)
Visual Settings:
- Bullish Color: Color for long signals and wins (default: green)
- Bearish Color: Color for short signals and losses (default: red)
- EMA Color: Color for trend filter line (default: orange)
- Line Width: Thickness of Marubozu level lines (1-5, default: 2)
- EMA Width: Thickness of EMA line (1-5, default: 2)
Line Management:
- Max Unbroken Lines: Limit for active extending lines (default: 10)
- Max Broken Lines: Limit for historical touched lines (default: 5)
Dashboard Settings:
- Show Dashboard: Toggle performance display on/off
- Dashboard Position: Corner placement (4 options)
- Dashboard Size: Text size selection (Tiny/Small/Normal/Large)
HOW TO USE
1. Add the indicator to your chart
2. Adjust ATR multipliers based on your risk tolerance (higher values = more conservative)
3. Configure the EMA filter based on market conditions (enable for trending, disable for ranging)
4. Set line limits to match your visual preference and chart timeframe
5. Monitor the dashboard to track strategy performance in real-time
6. Use the TP/SL boxes as reference levels for manual trades or automation
Best Practices:
- Enable EMA filter in strongly trending markets
- Disable EMA filter if you want more trade signals but at lower quality
- Increase ATR multipliers in highly volatile markets
- Decrease ATR multipliers for tighter, more frequent trades
- Review avg win/loss ratio to ensure positive expectancy
UNIQUE FEATURES
Unlike basic Marubozu detectors, this strategy provides:
1. Automatic level tracking with memory management
2. Volatility-adjusted risk parameters instead of fixed values
3. Optional trend confirmation via EMA filter
4. Real-time performance analytics with automatic dollar conversion
5. Separate tracking of wins/losses with individual averages
6. Configurable visual display to prevent chart clutter
7. Complete transparency with all logic visible in open-source code
Distance % from sma/ema + Percentile BandsThis script is breadth indicator for long term bull and bear markets.
Default settings:
AU:
- 200m SMA
- Percentile Lookback: 99%
- Lookback Period: 240 M
AG: TBD
SPX: TBD
Moving Averages: 09-21-55-200 - Multiple Times Frames v2This is a multi-timeframe 9ema, 21ema, 55ema and the 200 SMA for the 1 minute, 2minute, 5 minute and 15 minute timeframes. SO when you are on any of these time-frames it will show the EMAs and SMAs for the other levels.
UMA Scalping Level 2025UMA Scalping Level 2025は、「直近で市場が意識している高値・安値ライン」と
「短期トレンドの勢い（EMAクロス）」を同時に捉えるスキャルピング特化型インジケーターです。
"UMA Scalping Level 2025" is a scalping-focused indicator that simultaneously captures the recent key swing highs and lows that the market is reacting to, and the short-term momentum identified by EMA crossovers.
Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════
MULTI-TIMEFRAME EMA TREND DASHBOARD
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OVERVIEW
This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis.
The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons.
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FEATURES
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MULTI-TIMEFRAME ANALYSIS
• Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D
• Each timeframe analyzed independently using request.security()
• Non-repainting implementation with proper lookahead settings
• Calculates overall trend strength as percentage of bullish timeframes
EMA CROSSOVER SYSTEM
• Fast EMA (default: 20) and Slow EMA (default: 50)
• Bullish: Fast EMA > Slow EMA
• Bearish: Fast EMA < Slow EMA
• Neutral: Fast EMA = Slow EMA (rare condition)
• Visual EMA plots with optional fill area
VOLUME CONFIRMATION
• Optional volume filter for crossover signals
• Compares current volume against moving average (default: 20-period SMA)
• Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones
• Used in quality score calculation
• Optional display toggle
SUPPORT & RESISTANCE DETECTION
• Automatic detection using highest/lowest over lookback period (default: 50 bars)
• Plots resistance (red), support (green), and mid-level (gray)
• Step-line style for clear visualization
• Optional display toggle
QUALITY SCORING SYSTEM
• Rates trade setups from 1-5 stars
• Considers: MTF alignment, volume confirmation, RSI positioning
• 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70
• 4 stars: 4+ timeframes aligned + volume confirmed
• 3 stars: 3+ timeframes aligned
• 2 stars: Exactly 3 timeframes aligned
• 1 star: Other conditions
VISUAL DASHBOARD
• Clean table display (position customizable)
• Color-coded trend indicators (green/red/yellow)
• Extended statistics panel (toggleable)
• Shows: Trends, Strength, Quality, RSI, Volume, Price Distance
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TECHNICAL SPECIFICATIONS
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CALCULATIONS
Trend Determination per Timeframe:
• request.security() fetches EMA values with gaps=off, lookahead=off
• Compares Fast EMA vs Slow EMA
• Returns: 1 (bullish), -1 (bearish), 0 (neutral)
Trend Strength:
• Counts number of bullish timeframes
• Formula: (bullish_count / 6) × 100
• Range: 0% (all bearish) to 100% (all bullish)
Price Distance from EMA:
• Formula: ((close - EMA) / EMA) × 100
• Positive: Price above EMA
• Negative: Price below EMA
• Warning when absolute distance > 5%
ANTI-REPAINTING MEASURES
• All request.security() calls use lookahead=barmerge.lookahead_off
• Dashboard updates only on barstate.islast
• Historical bars remain unchanged
• Crossover signals finalize on bar close
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USAGE GUIDE
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INTERPRETING THE DASHBOARD
Timeframe Rows:
• Each row shows individual timeframe trend status
• Look for alignment (multiple timeframes same direction)
• Higher timeframes generally more significant
Strength Indicator:
• >66.67%: Strong bullish (4+ timeframes bullish)
• 33.33-66.67%: Mixed/choppy conditions
• <33.33%: Strong bearish (4+ timeframes bearish)
Quality Score:
• Higher stars = better confluence of factors
• 5-star setups have strongest multi-factor confirmation
• Lower scores may indicate weaker or conflicting signals
SUGGESTED APPLICATIONS
Trend Confirmation:
• Check if multiple timeframes confirm current chart trend
• Higher agreement = stronger trend confidence
• Use for position sizing decisions
Entry Timing:
• Wait for EMA crossover on chart timeframe
• Confirm with higher timeframe alignment
• Volume above average preferred
• RSI not in extreme zones
Divergence Detection:
• When lower timeframes diverge from higher
• May indicate trend exhaustion or reversal
• Requires additional confirmation
CUSTOMIZATION
EMA Settings:
• Adjust Fast/Slow lengths for different sensitivities
• Shorter periods = more responsive, more signals
• Longer periods = smoother, fewer signals
• Common alternatives: 10/30, 12/26, 50/200
Volume Filter:
• Enable for higher-quality signals (fewer false positives)
• Disable in always-liquid markets or for more signals
• Adjust MA length based on typical volume patterns
Display Options:
• Toggle EMAs, S/R levels, extended stats as needed
• Choose dashboard position to avoid chart overlap
• Adjust colors for visibility preferences
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ALERTS
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AVAILABLE ALERT CONDITIONS
1. Bullish EMA Cross (Volume Confirmed)
2. Bearish EMA Cross (Volume Confirmed)
3. Strong Bullish Alignment (4+ timeframes)
4. Strong Bearish Alignment (4+ timeframes)
5. Trend Strength Increasing (>16.67% jump)
6. Trend Strength Decreasing (>16.67% drop)
7. Excellent Trade Setup (5-star rating)
Alert messages use standard placeholders:
• {{ticker}} - Symbol name
• {{close}} - Current close price
• {{time}} - Bar timestamp
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LIMITATIONS & CONSIDERATIONS
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KNOWN LIMITATIONS
• Lower timeframe data may not be available on all symbols
• 1-minute data typically limited to recent history
• request.security() subject to TradingView data limits
• Dashboard requires screen space (may overlap on small screens)
• More complex calculations may affect load time on slower devices
NOT SUITABLE FOR
• Highly volatile/illiquid instruments (many false signals)
• News-driven markets during announcements
• Automated trading without additional filters
• Markets where EMA strategies don't perform well
DOES NOT PROVIDE
• Exact entry/exit prices
• Stop-loss or take-profit levels
• Position sizing recommendations
• Guaranteed profit signals
• Market predictions
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BEST PRACTICES
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RECOMMENDED USAGE
✓ Combine with price action analysis
✓ Use appropriate risk management
✓ Backtest on historical data before live use
✓ Adjust settings for specific market characteristics
✓ Wait for higher-quality setups in important trades
✓ Consider overall market context and fundamentals
NOT RECOMMENDED
✗ Using as standalone trading system without confirmation
✗ Trading every signal without discretion
✗ Ignoring risk management principles
✗ Trading without understanding the methodology
✗ Applying to unsuitable markets/timeframes
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EDUCATIONAL BACKGROUND
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EMA CROSSOVER STRATEGY
The Exponential Moving Average crossover is a classical trend-following technique:
• Golden Cross: Fast EMA crosses above Slow EMA (bullish signal)
• Death Cross: Fast EMA crosses below Slow EMA (bearish signal)
• Widely used since the 1970s in various markets
• More responsive than SMA due to exponential weighting
MULTI-TIMEFRAME ANALYSIS
Analyzing multiple timeframes helps traders:
• Identify alignment between short and long-term trends
• Reduce false signals from single-timeframe noise
• Understand market context across different horizons
• Make informed decisions about trade duration
VOLUME ANALYSIS
Volume confirmation adds reliability:
• High volume suggests institutional participation
• Low volume signals may indicate false breakouts
• Volume precedes price in many market theories
• Helps distinguish genuine moves from noise
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TECHNICAL IMPLEMENTATION
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CODE STRUCTURE
• Organized in clear sections with proper commenting
• Uses explicit type declarations (int, float, bool, color, string)
• Constants defined at top (BULLISH=1, BEARISH=-1, etc.)
• Functions documented with @function, @param, @returns
• Follows PineCoders naming conventions (camelCase variables)
PERFORMANCE OPTIMIZATION
• var keyword for table (created once, not every bar)
• Calculations cached where possible
• Dashboard updates only on last bar
• Minimal redundant security() calls
SECURITY IMPLEMENTATION
• Proper gaps and lookahead parameters
• No future data leakage
• Signals finalize on bar close
• Historical bars remain static
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VERSION INFORMATION
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Current Version: 2.0
Pine Script Version: 5
Last Updated: 2024
Developed by: Zakaria Safri
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SETTINGS REFERENCE
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EMA SETTINGS
• Fast EMA Length: 1-500 (default: 20)
• Slow EMA Length: 1-500 (default: 50)
VOLUME & MOMENTUM
• Use Volume Confirmation: true/false (default: true)
• Volume MA Length: 1-500 (default: 20)
• Show RSI Levels: true/false (default: true)
• RSI Length: 1-500 (default: 14)
PRICE ACTION FEATURES
• Show Price Distance: true/false (default: true)
• Show Key Levels: true/false (default: true)
• S/R Lookback Period: 10-500 (default: 50)
DISPLAY SETTINGS
• Show EMAs on Chart: true/false (default: true)
• Fast EMA Color: customizable (default: cyan)
• Slow EMA Color: customizable (default: orange)
• EMA Line Width: 1-5 (default: 2)
• Show Fill Between EMAs: true/false (default: true)
• Show Crossover Signals: true/false (default: true)
DASHBOARD SETTINGS
• Position: Top Left/Right, Bottom Left/Right
• Show Extended Statistics: true/false (default: true)
ALERT SETTINGS
• Alert on Multi-TF Alignment: true/false (default: true)
• Alert on Trend Strength Change: true/false (default: true)
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RISK DISCLAIMER
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This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security.
IMPORTANT NOTICES:
• Past performance does not indicate future results
• All trading involves risk of capital loss
• No indicator guarantees profitable trades
• Always conduct independent research and analysis
• Use proper risk management and position sizing
• Consult a qualified financial advisor before trading
• The developer assumes no liability for trading losses
By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
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SUPPORT & CONTRIBUTIONS
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FEEDBACK WELCOME
• Constructive comments appreciated
• Bug reports help improve the indicator
• Feature suggestions considered for future versions
• Share your experience to help other users
OPEN SOURCE
This code is published as open source for the TradingView community to:
• Learn from the implementation
• Modify for personal use
• Understand multi-timeframe analysis techniques
If you find this indicator useful, please consider:
• Leaving a thoughtful review
• Sharing with other traders who might benefit
• Following for future updates and releases
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ADDITIONAL RESOURCES
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RECOMMENDED READING
• TradingView Pine Script documentation
• PineCoders community resources
• Technical analysis textbooks on moving averages
• Multi-timeframe trading strategy guides
• Risk management principles
RELATED CONCEPTS
• Trend following strategies
• Moving average convergence/divergence
• Multiple timeframe analysis
• Volume-price relationships
• Momentum indicators
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Thank you for using this indicator. Trade responsibly and continue learning!
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ORBs, EMAs, SMAs, AVWAPThis is an update to a previously published script. In short the difference is the added capability to adjust the length of EMAs. Also added 3 customizable SMAs. Enjoy! Let me know what you think of the script please. This is only second one I have ever done. Through practice and people like @LuxAlgo and other Pinescripters this isn't possible. Tedious hrs with ChatGPT to correct nuances, who doesnt seem to learn from (insert pronoun) mistakes
This all-in-one indicator combines key institutional tools into a unified framework for intraday and swing trading. Designed for traders who use multi-session analysis and dynamic levels, it automatically maps out global session breakouts, moving averages, and volume-weighted anchors with high clarity.
Features include:
🕓 Tokyo, London, and New York ORBs (Opening Range Breakouts) — 30-minute configurable range boxes that persist until the next New York open.
📈 Anchored VWAP with Standard Deviation Bands — dynamically anchorable to session, week, or month for institutional-grade price tracking.
📊 Exponential Moving Averages (9, 20, 113, 200) — for short-, mid-, and long-term momentum structure.
📉 Simple Moving Averages (20, 50, 100) — fully customizable lengths, colors, and visibility toggles for trend confirmation.
🏁 Prior High/Low Levels (PDH/PDL, PWH/PWL, PMH/PML) — automatically plotted from previous day, week, and month, with labels placed at each session’s midpoint.
🎛️ Session-Aligned Time Logic — all time calculations use New York session anchors with DST awareness.
💡 Clean Visualization Options — every component can be toggled on/off, recolored, or customized for your workflow.
Best used for:
ORB break-and-retest setups
VWAP and EMA rejections
Confluence-based trading around key session levels
Multi-session momentum tracking
Mythical EMAs + Dynamic VWAP BandThis indicator titled "Mythical EMAs + Dynamic VWAP Band." It overlays several volatility-adjusted Exponential Moving Averages (EMAs) on the chart, along with a Volume Weighted Average Price (VWAP) line and a dynamic band around it.
Additionally, it uses background coloring (clouds) to visualize bullish or bearish trends, with intensity modulated by the price's position relative to the VWAP.
The EMAs are themed with mythical names (e.g., Hermes for the 9-period EMA), but this is just stylistic flavoring and doesn't affect functionality.
I'll break it down section by section, explaining what each part does, how it works, and its purpose in the context of technical analysis. This indicator is designed for traders to identify trends, momentum, and price fairness relative to volume-weighted averages, with volatility adjustments to make the EMAs more responsive in volatile markets.
### 1. **Volatility Calculation (ATR)**
```pine
atrLength = 14
volatility = ta.atr(atrLength)
```
- **What it does**: Calculates the Average True Range (ATR) over 14 periods (a common default). ATR measures market volatility by averaging the true range (the greatest of: high-low, |high-previous close|, |low-previous close|).
- **Purpose**: This volatility value is used later to dynamically adjust the EMAs, making them more sensitive in high-volatility conditions (e.g., during market swings) and smoother in low-volatility periods. It helps the indicator adapt to changing market environments rather than using static EMAs.
### 2. **Custom Mythical EMA Function**
```pine
mythical_ema(src, length, base_alpha, vol_factor) =>
alpha = (2 / (length + 1)) * base_alpha * (1 + vol_factor * (volatility / src))
ema = 0.0
ema := na(ema ) ? src : alpha * src + (1 - alpha) * ema
ema
```
- **What it does**: Defines a custom function to compute a modified EMA.
- It starts with the standard EMA smoothing factor formula: `2 / (length + 1)`.
- Multiplies it by a `base_alpha` (a user-defined multiplier to tweak responsiveness).
- Adjusts further for volatility: Adds a term `(1 + vol_factor * (volatility / src))`, where `vol_factor` scales the impact, and `volatility / src` normalizes ATR relative to the source price (making it scale-invariant).
- The EMA is then calculated recursively: If the previous EMA is NA (e.g., at the start), it uses the current source value; otherwise, it weights the current source by `alpha` and the prior EMA by `(1 - alpha)`.
- **Purpose**: This creates "adaptive" EMAs that react faster in volatile markets (higher alpha when volatility is high relative to price) without overreacting in calm periods. It's an enhancement over standard EMAs, which use fixed alphas and can lag in choppy conditions. The mythical theme is just naming—functionally, it's a volatility-weighted EMA.
### 3. **Calculating the EMAs**
```pine
ema9 = mythical_ema(close, 9, 1.2, 0.5) // Hermes - quick & nimble
ema20 = mythical_ema(close, 20, 1.0, 0.3) // Apollo - short-term foresight
ema50 = mythical_ema(close, 50, 0.9, 0.2) // Athena - wise strategist
ema100 = mythical_ema(close, 100, 0.8, 0.1) // Zeus - powerful oversight
ema200 = mythical_ema(close, 200, 0.7, 0.05) // Kronos - long-term patience
```
- **What it does**: Applies the custom EMA function to the close price with varying lengths (9, 20, 50, 100, 200 periods), base alphas (decreasing from 1.2 to 0.7 for longer periods to make shorter ones more responsive), and volatility factors (decreasing from 0.5 to 0.05 to reduce volatility influence on longer-term EMAs).
- **Purpose**: These form a multi-timeframe EMA ribbon:
- Shorter EMAs (e.g., 9 and 20) capture short-term momentum.
- Longer ones (e.g., 200) show long-term trends.
- Crossovers (e.g., short EMA crossing above long EMA) can signal buy/sell opportunities. The volatility adjustment makes them "mythical" by adding dynamism, potentially improving signal quality in real markets.
### 4. **VWAP Calculation**
```pine
vwap_val = ta.vwap(close) // VWAP based on close price
```
- **What it does**: Computes the Volume Weighted Average Price (VWAP) using the built-in `ta.vwap` function, anchored to the close price. VWAP is the average price weighted by volume over the session (resets daily by default in Pine Script).
- **Purpose**: VWAP acts as a benchmark for "fair value." Prices above VWAP suggest bullishness (buyers in control), below indicate bearishness (sellers dominant). It's commonly used by institutional traders to assess entry/exit points.
### 5. **Plotting EMAs and VWAP**
```pine
plot(ema9, color=color.fuchsia, title='EMA 9 (Hermes)')
plot(ema20, color=color.red, title='EMA 20 (Apollo)')
plot(ema50, color=color.orange, title='EMA 50 (Athena)')
plot(ema100, color=color.aqua, title='EMA 100 (Zeus)')
plot(ema200, color=color.blue, title='EMA 200 (Kronos)')
plot(vwap_val, color=color.yellow, linewidth=2, title='VWAP')
```
- **What it does**: Overlays the EMAs and VWAP on the chart with distinct colors and titles for easy identification in TradingView's legend.
- **Purpose**: Visualizes the EMA ribbon and VWAP line. Traders can watch for EMA alignments (e.g., all sloping up for uptrend) or price interactions with VWAP.
### 6. **Dynamic VWAP Band**
```pine
band_pct = 0.005
vwap_upper = vwap_val * (1 + band_pct)
vwap_lower = vwap_val * (1 - band_pct)
p1 = plot(vwap_upper, color=color.new(color.yellow, 0), title="VWAP Upper Band")
p2 = plot(vwap_lower, color=color.new(color.yellow, 0), title="VWAP Lower Band")
fill_color = close >= vwap_val ? color.new(color.green, 80) : color.new(color.red, 80)
fill(p1, p2, color=fill_color, title="Dynamic VWAP Band")
```
- **What it does**: Creates a band ±0.5% around the VWAP.
- Plots the upper/lower bands with full transparency (color opacity 0, so lines are invisible).
- Fills the area between them dynamically: Semi-transparent green (opacity 80) if close ≥ VWAP (bullish bias), red if below (bearish bias).
- **Purpose**: Highlights deviations from VWAP visually. The color change provides an at-a-glance sentiment indicator—green for "above fair value" (potential strength), red for "below" (potential weakness). The narrow band (0.5%) focuses on short-term fairness, and the fill makes it easier to spot than just the line.
### 7. **Trend Clouds with VWAP Interaction**
```pine
bullish = ema9 > ema20 and ema20 > ema50
bearish = ema9 < ema20 and ema20 < ema50
bullish_above_vwap = bullish and close > vwap_val
bullish_below_vwap = bullish and close <= vwap_val
bearish_below_vwap = bearish and close < vwap_val
bearish_above_vwap = bearish and close >= vwap_val
bgcolor(bullish_above_vwap ? color.new(color.green, 50) : na, title="Bullish Above VWAP")
bgcolor(bullish_below_vwap ? color.new(color.green, 80) : na, title="Bullish Below VWAP")
bgcolor(bearish_below_vwap ? color.new(color.red, 50) : na, title="Bearish Below VWAP")
bgcolor(bearish_above_vwap ? color.new(color.red, 80) : na, title="Bearish Above VWAP")
```
- **What it does**: Defines trend conditions based on EMA alignments:
- Bullish: Shorter EMAs stacked above longer ones (9 > 20 > 50, indicating upward momentum).
- Bearish: The opposite (downward momentum).
- Sub-conditions combine with VWAP: E.g., bullish_above_vwap is true only if bullish and price > VWAP.
- Applies background colors (bgcolor) to the entire chart pane:
- Strong bullish (above VWAP): Green with opacity 50 (less transparent, more intense).
- Weak bullish (below VWAP): Green with opacity 80 (more transparent, less intense).
- Strong bearish (below VWAP): Red with opacity 50.
- Weak bearish (above VWAP): Red with opacity 80.
- If no condition matches, no color (na).
- **Purpose**: Creates "clouds" for trend visualization, enhanced by VWAP context. This helps traders confirm trends—e.g., a strong bullish cloud (darker green) suggests a high-conviction uptrend when price is above VWAP. The varying opacity differentiates signal strength: Darker for aligned conditions (trend + VWAP agreement), lighter for misaligned (potential weakening or reversal).
### Overall Indicator Usage and Limitations
- **How to use it**: Add this to a TradingView chart (e.g., stocks, crypto, forex). Look for EMA crossovers, price bouncing off EMAs/VWAP, or cloud color changes as signals. Bullish clouds with price above VWAP might signal buys; bearish below for sells.
- **Strengths**: Combines momentum (EMAs), volume (VWAP), and volatility adaptation for a multi-layered view. Dynamic colors make it intuitive.
- **Limitations**:
- EMAs lag in ranging markets; volatility adjustment helps but doesn't eliminate whipsaws.
- VWAP resets daily (standard behavior), so it's best for intraday/session trading.
- No alerts or inputs for customization (e.g., changeable lengths)—it's hardcoded.
- Performance depends on the asset/timeframe; backtest before using.
- **License**: Mozilla Public License 2.0, so it's open-source and modifiable.
EMA Cross + Inside BarWith the EMA Cross + Inside Bar script you can spot inside bars instantly.
Based on the inside bar there is a call and a put trigger to help you find the key areas to look for long/short positions.
It's also possible to show possible target areas based on a multiplier.
The script is highly customizable and will be improved in the future.
If you have questions or feedback just message me via X.
And don't forget: Always do your own research :)
