Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range
Overview:
This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets.
🔍 Strategy Components:
EMA Crossover (Fast/Slow)
Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum.
RSI Filter
RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met.
Long entry requires RSI ≥ Long Threshold
Short entry requires RSI ≤ Short Threshold
ATR-Based SL & TP
Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price.
Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure.
Opening Range Filter (Optional)
If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves.
Session Filters
No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods.
All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options.
⚙️ Built-in Presets:
You can choose one of the built-in ticker-specific presets for optimal conditions:
Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL
SPY 8/28 56 / 26 14 1.4× 4.0×
TSLA 23/27 56 / 33 13 1.4× 3.6×
AAPL 6/13 61 / 26 23 1.4× 2.1×
MSFT 25/32 54 / 26 14 1.2× 2.2×
META 25/32 53 / 26 17 1.8× 2.3×
AMZN 28/32 55 / 25 16 1.8× 2.3×
You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences.
📌 Best Use Case:
This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
Moving Averages
Multi-Timeframe EMA Alignment + Listing InfoEnhanced EMA Alignment Checks
Original 4-EMA rows: Check 10EMA ≥ 20EMA ≥ 50EMA ≥ 200EMA for all timeframes
New 3-EMA rows: Check 10EMA ≥ 20EMA ≥ 50EMA (without 200EMA requirement) for weekly and monthly timeframes
Visual Distinction
White background: 4-EMA alignment rows (standard check)
Yellow background: 3-EMA alignment rows (less restrictive check)
Asterisk notation: "1W*" and "1M*" indicate the 3-EMA version
Complete Table Layout
1H: 4-EMA alignment (10≥20≥50≥200)
1D: 4-EMA alignment (10≥20≥50≥200)
1W: 4-EMA alignment (10≥20≥50≥200)
1M: 4-EMA alignment (10≥20≥50≥200)
1W* : 3-EMA alignment (10≥20≥50) - NEW
1M* : 3-EMA alignment (10≥20≥50) - NEW
Separator line
Since List: Weeks/months since listing
Benefits of This Setup:
Comprehensive Analysis: You can now see both strict (4-EMA) and relaxed (3-EMA) trend conditions
Better Entry Signals: The 3-EMA alignment might trigger earlier than 4-EMA, providing potential early entry signals
Trend Strength Assessment: When both 3-EMA and 4-EMA are aligned, it indicates very strong trend conditions
Flexible Strategy: You can use 3-EMA for trend following and 4-EMA for confirmation
The table now provides a complete multi-timeframe trend analysis with both conservative and aggressive alignment criteria, giving you more flexibility in your trading decisions.
RAHA Strategy with Dynamic TP/SL + Volatility Filter
RAHA Indicator
RAHA – Roni's Adjusted Hybrid Average is a unique average that neutralizes outliers from a price series, in order to provide a more reliable and stable picture of the market trend.
💡 What makes it unique?
Unlike a regular average (like SMA), the RAHA indicator calculates the average only based on "normal" prices – while statistically filtering out outliers.
📈 Main uses:
Identifying a smooth trend over time
Reducing problematic market noise
Basis for smart trading strategies
RAHA Strategy – Roni's Adjusted Hybrid Average
The RAHA strategy is based on a smart average (RAHA – Roni's Adjusted Hybrid Average), which channels outliers from the historical price to create a more stable trend indication. It combines:
Average crossing – short SMA (10 days) versus long RAHA (20 days).
Strict filters – such as a positive RAHA slope, a positive market trend according to a 60-day moving average, and a monthly RSI rising or above 70.
Smart entry – only when there is high volatility (a significant gap between RAHA and SMA) or a green candle below the Bollinger band.
Dynamic stop – below the low of a descending candle sequence.
Profit target – set at 3 times the stop, but a trade is not closed at the TP but only according to additional specified conditions.
Smart exit conditions – such as a downward crossing of the SMA or breaking a previous low.
Multiple trade filtering – a time difference of at least 10 candles between trades.
The strategy aims to target trades only during times of a clear trend and high volatility, while reducing sensitivity to market noise and false trades.
אינדיקטור RAHA
RAHA – Roni's Adjusted Hybrid Average הוא ממוצע ייחודי שמנטרל ערכים חריגים מתוך סדרת מחירים (Outliers), במטרה לספק תמונה אמינה ויציבה יותר של מגמת השוק.
💡 מה מייחד אותו?
בניגוד לממוצע רגיל (כמו SMA), אינדיקטור RAHA מחשב את הממוצע רק על בסיס המחירים "הנורמליים" – תוך סינון סטטיסטי של חריגים.
📈 שימושים עיקריים:
זיהוי מגמה חלקה לאורך זמן
הפחתת רעשי שוק בעייתיים
בסיס לאסטרטגיות מסחר חכמות
אסטרטגיית RAHA – Roni's Adjusted Hybrid Average
אסטרטגיית RAHA מבוססת על ממוצע חכם (RAHA – Roni's Adjusted Hybrid Average), אשר מתעל ערכים חריגים מהמחיר ההיסטורי ליצירת אינדיקציה יציבה יותר למגמה. היא משלבת בין:
חציית ממוצעים – SMA קצר (10 ימים) לעומת RAHA ארוך (20 ימים).
פילטרים מחמירים – כמו שיפוע RAHA חיובי, מגמת שוק חיובית לפי ממוצע נע של 60 יום, ו‑RSI חודשי עולה או מעל 70.
כניסה חכמה – רק כאשר יש תנודתיות גבוהה (פער משמעותי בין RAHA ל‑SMA) או נר ירוק מתחת לרצועת בולינגר.
סטופ דינמי – מתחת לנמוך של רצף נרות יורדים.
יעד רווח – מוגדר לפי פי 3 מהסטופ, אך עסקה לא נסגרת ב‑TP אלא רק לפי תנאים נוספים שנקבעו.
תנאי יציאה חכמים – כמו חצייה כלפי מטה של SMA או שבירת שפל קודם.
סינון עסקאות מרובות – הפרש זמן של 10 נרות לפחות בין עסקאות.
האסטרטגיה שואפת למקד עסקאות רק בזמנים של מגמה מובהקת ותנודתיות גבוהה, תוך הפחתת רגישות לרעש שוק ועסקאות שווא.
JeaFx Strategy: EMA Divergence (Sensitive Buy, 'Sell' Label)This strategy suites for variable time frames from M5 to H4. This has to adjust to assets and frequency needed. It works well with visual adjust to EMA8 and EMA20.
Hopefully useful for investors.
📈 Linearity (ER 0–1) + ADRMAX % Table
This indicator combines two powerful concepts to help traders assess trend efficiency and intraday thrust strength:
🔹 1. Linearity (Kaufman Efficiency Ratio)
Measures how efficiently price has trended over a selected lookback period.
Values range from 0 to 1, where:
1.0 = perfectly trending market (no noise)
0.0 = completely choppy market (all noise)
Optional method: New High Persistence (fraction of bars in the period that hit a new high).
🔹 2. ADRMAX % (Average Daily Range Max as %)
Calculates the average of top % biggest green daily candles (measured as % range: (high - low) / low × 100) over a given lookback.
Projects this ADRMAX % above current lows as a thrust-level expectation.
Marks candles exceeding this dynamic threshold, helping identify unusual momentum.
📊 On-Chart Table Display
Real-time display of:
Linearity (0–1 scale)
ADRMAX %
Table is color-coded and position-customizable.
🛠️ Use Cases:
Trend-following filters: only act when ER > 0.75.
Thrust detection: breakout days with range > ADRMAX.
Adaptive entries: combine both for better timing.
Rotation Strong HoldersStrong Holders Rotation
A mean reversion indicator with volatility-adjusted levels.
Concept:
The indicator is based on Mean Reversion Theory, which states that asset prices eventually return to their long-term average value. The greater the deviation from this mean value, the higher the probability of correction.
Unlike classical approaches that simply assume "the larger the deviation, the stronger the reversal," we've identified key threshold levels where reversal probability increases dramatically, generating high-confidence reversal signals.
Through extensive testing, we discovered that different stocks exhibit unique volatility profiles, making fixed threshold values ineffective. Our indicator dynamically adjusts overbought/oversold zones using:
- Beta coefficient (asset's sensitivity to market volatility)
- Multi-timeframe trend analysis (trend confirmation on higher timeframes)
- Adaptive Smoothed Moving Averages (SMMA)
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HOW TO USE
The indicator identifies three key zones:
1. Red (Upper) - Overbought zone, likely price reversal downward
2. Blue (Middle) - Shows the asset's current position relative to green and red zones, indicating overbought or oversold conditions
3. Green (Lower) - Oversold zone, potential upward bounce
Signals:
- Buy: When the blue line enters the zone where the stock price is too low to ignore (green band indicates oversold condition)
- Sell: When the blue line enters the zone where the stock price is too high to ignore (red band indicates overbought condition)
Dynamic Levels:
The overbought/oversold zone boundaries automatically adjust based on the beta coefficient (higher volatility assets have wider ranges)
Key Settings:
- `Base Index` (SPX, NDX, DJI) - Volatility comparison benchmark
- `Beta Calculation Period` - Lookback period (default: 252 days)
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The indicator's background serves as a supplementary confirmation signal, using higher timeframe moving average crosses:
- Red background: Consider avoiding or selling the stock
- Green background: Favorable buying conditions
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Limitations:
- May generate false signals for:
✓ Stocks in extreme trends (e.g., NVDA during AI chip boom)
✓ Companies at risk of bankruptcy
- Not optimized for:
✓ Index trading
✓ Healthcare sector stocks
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EMA/ATR/RSIThis indicator overlays three key technical measures—Exponential Moving Average (EMA), Average True Range (ATR), and a custom-scaled Relative Strength Index (RSI)—on your price chart, all using the same lookback period.
Features
• EMA (Exponential Moving Average): Smooths price action to highlight trend direction.
• ATR (Average True Range): Measures market volatility via an RMA-smoothed True Range.
• RSI (Modified): Scales the standard RSI by subtracting 35 and multiplying by 2, shifting the baseline for clearer momentum signals.
Inputs
• period (integer): Lookback length for EMA, ATR, and RSI calculations (default: 14).
How to Use
1. Adjust period to suit your preferred timeframe (e.g., 14 for daily charts, 7 for intraday).
2. Use the EMA line to identify trend direction and dynamic support/resistance.
3. Monitor ATR to gauge changing volatility—wider bands signal stronger moves.
4. Watch the modified RSI crossovers around zero:
• Above 0: Bullish momentum
• Below 0: Bearish momentum
Combine these three overlays to refine entries, exits, and stop-loss placement based on trend strength, volatility, and momentum all in one view.
PRO Investing - Apex Engine FREE VERSION🧠 The Apex Engine: True Self-Tuning Intelligence
The biggest flaw in most indicators is that they rely on fixed settings. The Apex Engine solves this with two layers of adaptation:
Fully Auto-Adjustable Parameters: The engine first analyzes the volatility of the asset on your chart to derive its own optimal "Fast," "Mid," and "Slow" momentum lengths. You never have to guess settings again—it tunes itself for any instrument and timeframe.
Performance-Based Selection: It then uses statistical correlation to constantly measure which of its auto-tuned parameters is most in-sync with recent price action. It deploys the "winning" engine to generate signals, ensuring you're always using the most relevant analysis.
🎨 An All-in-One, Unified View
We've engineered this script to deliver maximum information with minimum clutter, all within a single indicator.
High-Confluence Buy/Sell Signals (▲/▼): Clear triangles appear directly on your chart. These are not simple crossovers; a signal is only plotted if it aligns with the dominant trend (above/below the 200MA) and the market is not choppy (ADX > 20).
Compact Oscillator Display: A "lite" version of the oscillator is displayed in a compact panel at the bottom of your price chart, showing the active Velocity line and its signal.
Transparent Dashboard: A small table in the corner shows you the engine's "brain" at work, displaying the real-time correlation scores and highlighting the active parameter.
Smart Background Coloring: The entire chart background changes color to give you immediate context:
🟩 Green: Bullish trend, favorable conditions for buys.
🟥 Red: Bearish trend, favorable conditions for sells.
⬛ Gray: Caution zone. Market is choppy or counter-trend.
This tool is designed to be the ultimate all-in-one solution for traders who value automation, clarity, and adaptive analysis.
If you find this indicator powerful, please leave a Boost 👍 and Follow our Profile for more professional-grade tools.
Disclaimer: All indicators are for analytical and educational purposes only. Trading involves significant risk. Always use your own judgment and risk management.
SMA/EMA Cross SignalFor short-term swing traders (such as I am) this is a simple indicator that plots 2 moving average lines of your choice, the SMA and EMA to the screen and has built in buy/sell signal when they cross.
I personally use this when price action is above the 50 SMA. The default setting (5SMA/10EMA) is what I use and has been working for me as long price action is above the 50 SMA.
Features:
1) Alerts are triggered when SMA (Signal line) and the EMA (Baseline) cross - a Long signal is called if the cross is above the EMA, a exit if the cross is below EMA
2) Signals are represented visually on the chart, below the candles is a long, above is a short.
Good luck!
OBV 双线指标（支持 v6）This script displays a dual-line On-Balance Volume (OBV) indicator, consisting of:
📈 OBV Line: The classic On-Balance Volume, calculated manually based on volume flow direction.
🔴 OBV Moving Average Line: A simple moving average (SMA) of the OBV to help smooth out trends.
🟢 Golden Cross Signal: When OBV crosses above its moving average (bullish signal).
🔻 Death Cross Signal: When OBV crosses below its moving average (bearish signal).
🔔 Alert Conditions: Alerts can be set for both Golden Cross and Death Cross.
EMA Cross Strategy V6 By BRC EMA cross over strategy for swing trading as well as intraday modified OCC by BRC
The Barking Rat Reversions - SOLUSDT (Published)🚀 The Barking Rat - Reversal Strategy
Trade crypto reversals on the 1-minute SOLUSDT chart using smart, multi-layered mechanics. This advanced script combines Fair Value Gap (FVG) detection, EMA boundaries, Support & Resistance zones, and RSI filtering to pinpoint high-quality reversal trades.
⚙️ What makes it powerful?
Data-driven reversal strategy built on almost 10 confluences — it only triggers entries when the most robust conditions align.
Clean entry & exit labels plotted directly on your chart so you can follow along easily.
Push alerts for entries and exits (just add them on TradingView — the logic is fully embedded).
Specially tuned for SOLUSDT on the 1-minute chart, tested live across 15+ months of data since early 2024.
📈 Backtested results on SOLUSDT over 15 months
✅ ~82.11% win rate
✅ Profit factor: 3.10 over 313 trades
✅ ~20+ trades per month
(See the backtest screenshot for a clear picture of performance.)
imgur.com
⚠️ A few important notes
This is an advanced script — it may have fewer trades some months and more in others. That’s intentional: it’s designed to wait patiently for the best setups.
Markets change every month, so past results aren’t guarantees. Use this tool to improve your decision-making, but always apply your own risk management.
For educational purposes only — not financial advice.
🔔 How to enable alerts
Once the script is added to your chart, simply create your TradingView alerts as usual. The script already has all alert logic built-in for clean notifications.
📨 How to get access
This is an invite-only script.
👉 Contact us directly on TradingView or email thebarkingrat@gmail.com to get access.
10 EMA, 20 EMA, 50 EMAits a mixture of 10,20,50 ema together you can try this for many strategy like ema entry episodic pivot etc
Umile Indicatore – RSI + Stocastico + EMAs🔍 Overview: Multi-Signal Momentum Indicator
This custom TradingView indicator is a comprehensive technical toolkit combining:
RSI (Relative Strength Index)
Stochastic Oscillator with volume filter
Multi-period EMAs (Exponential Moving Averages)
Customizable visual BUY/SELL signals
It’s designed to detect potential momentum shifts, overbought/oversold conditions, and trend alignment, helping traders identify high-probability entries and exits based on layered confirmations.
🧠 Components Explained
✅ 1. RSI Logic
Detects price momentum and potential reversal zones.
Triggers a BUY signal when RSI crosses above a user-defined oversold level.
Triggers a SELL signal when RSI crosses below an overbought threshold.
You can choose the visual symbol (triangle, circle, or arrow) and set the color for each signal.
✅ 2. Stochastic Oscillator + Volume Filter
Identifies turning points based on the relationship between %K and %D lines.
Signals are only valid if:
A crossover occurs (e.g., %K crosses above %D for a BUY)
Price is in an extreme zone (below oversold or above overbought)
Volume is above its moving average — to filter out weak signals.
Also comes with symbol and color customization.
✅ 3. Exponential Moving Averages (EMAs)
Plots multiple EMAs: 50, 100, 144, 200, 300, 500, 1000.
These help assess trend strength and directional bias.
You can toggle the visibility of EMAs if needed.
✅ 4. Visual & Style Customization
Each signal type (RSI and Stochastic) allows:
Selection of plot shape: triangle, circle, or arrow
Custom BUY/SELL colors
Levels like RSI/Stoch overbought and oversold zones are also plotted for reference.
🎯 How to Use It
Look for confluence between RSI and Stochastic signals to validate entries.
Use EMAs as trend filters — e.g., only take long signals when price is above EMA200.
The volume filter on Stochastic helps reduce false signals in low-activity markets.
Enhanced Volume Profile Strategy [Lite]🔍 Enhanced Volume Profile Strategy
A smart and nimble trading strategy that blends Volume Profile theory with classic trend and volatility filters — optimized for intraday breakout and pullback setups.
🧠 Key Concepts:
Volume Profile (Lite Simulation): Approximates volume distribution over a fixed period to identify:
VPOC (Volume Point of Control): Price level with the highest traded volume
VAH / VAL (Value Area High / Low): Range containing a customizable % of total volume
Breakout + Pullback Logic: Enters on breakout above VAH or below VAL, after a healthy pullback confirms the move
Trend Filtering: Uses SMA to align trades with the dominant trend
Volume Confirmation: Optional volume spike check to avoid low-liquidity traps
ATR-Based Trailing Stop: Dynamically adapts exit levels based on recent volatility
⚙️ Strategy Inputs:
Volume Profile Period: How many bars to analyze for volume distribution
Value Area %: Range around VPOC containing the majority of volume
ATR & MA Periods: Configure volatility and trend filters
Pullback Bars: Fine-tune confirmation before entry
Volume Confirmation Multiplier: Demand a surge in volume before acting
✅ Entries:
Long: Breaks above VAH, confirms with volume and trend, then pulls back and reclaims breakout level
Short: Breaks below VAL, confirms with volume and trend, then pulls back and breaks again downward
❌ Exits:
ATR-based trailing stop protects gains and adapts to market movement
📈 Plots:
VPOC: Orange
VAH: Red
VAL: Green
This "Lite" version is lightweight and highly customizable — perfect for traders who want to balance volume insights with price action and trend-following logic. Ideal for futures, forex, and crypto on lower timeframes.
Z-scored ZLEMA | OquantZ-Scored ZLEMA | Oquant
This indicator combines the Zero-Lag Exponential Moving Average (ZLEMA) with Z-score normalization to present recent ZLEMA values relative to its mean. It helps users observe trend direction and momentum with reduced lag, while also highlighting potential overbought or oversold levels based on how far ZLEMA values deviate from their mean.
🧠 Concept Overview
📉 Zero Lag Exponential Moving Average (ZLEMA)
The EMA is a popular tool that calculates an average price, but unlike a simple moving average, it gives more weight to recent prices. This means the EMA reacts faster to new price changes and is less affected by older data. However, even with this weighting, the EMA still introduces some lag.
ZLEMA improves on the EMA by reducing this lag. It does this by adjusting how it accounts for previous prices, effectively "shifting" the data to better align the average with current market action. The result is an average that stays smooth but responds more quickly to real price changes—helping traders spot turning points or trend shifts earlier without being fooled by random noise.
📏 Z-score Normalization
Once ZLEMA is calculated, the indicator applies Z-score normalization to measure how far the current ZLEMA value is from its mean. The Z-score expresses this difference using standard deviations, providing a clear, standardized scale. This helps highlight when price moves are unusually strong—either upward or downward—beyond normal fluctuations.
🔍 How This Indicator Works
Smooth Price Data with ZLEMA
The indicator begins by applying the Zero-Lag Exponential Moving Average (ZLEMA) to the chosen price data. Unlike a regular moving average, ZLEMA reduces the typical delay by adjusting the input data before averaging. It does this by "shifting" the price series to remove the lag caused by older prices. This way, ZLEMA stays smooth but reacts more quickly to recent price changes—helping the indicator follow market moves faster without being too noisy.
Normalize ZLEMA values Using Z-score
Once ZLEMA is calculated, the indicator applies Z-score normalization to measure how far the current ZLEMA value is from its mean. The Z-score expresses this difference in terms of standard deviations, creating a clear, standardized scale. This helps highlight when price moves are unusually strong—either up or down—beyond normal fluctuations.
Set Signal Thresholds
Two threshold levels are set on the Z-score scale—crossing above the upper threshold is considered a long (buy) signal, indicating bullish momentum, while crossing below the lower threshold is considered a short (sell) signal, indicating bearish momentum.
Show Visual Signals on the Chart
The Z-score and bars are plotted with colors: green when Z-score is above the bullish threshold, purple when Z-score is below the bearish threshold.
⚙️ Customizable Inputs
Source: Choose the price source (close, open, etc.) for calculations.
ZLEMA Length: Adjust the ZLEMA length to control smoothness versus responsiveness.
Z-score period: Set the Z-score period to define how far back the indicator measures normal price behavior.
Thresholds: Adjust the upper and lower thresholds to control how sensitive the indicator is to strong momentum changes.
📈 Practical Use
This indicator helps identify trend directions and changes faster by combining ZLEMA with statistical analysis. It highlights when price moves are stronger than normal, making it easier to spot early signs of momentum shifts. Traders can use it to confirm trends or detect potential reversals with more timely signals.
🔔 Alert Support
This indicator includes optional built-in alert conditions that notify you when the Z-score crosses above the bullish threshold (long signal) or below the bearish threshold (short signal). You can enable these alerts to get timely updates on potential momentum shifts without constantly watching the chart.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
[L0!FT] bartrulez Buy/Sell Indicator Sequential bartrulez Buy/Sell Indicator Sequential - 14 Days RSI, 200 SMA + SELL & BUY Signals
Moving Average ExponentialThis indicator plots 8 Exponential Moving Averages (EMAs) with customizable lengths: 20, 25, 30, 35, 40, 45, 50, and 55. It also includes optional smoothing using various moving average types (SMA, EMA, WMA, etc.) and an optional Bollinger Bands overlay based on the EMA. It helps identify trend direction, momentum, and potential reversal zones.
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ADX > 20 and Price Rejection from 50 SMAindicator to show price rejections at 50 SMA with adx above 20
Exponential Moving Averages📘 Exponential Moving Averages – Clean & Focused Trend Tool
This script displays five Exponential Moving Averages (EMAs) — 10, 20, 50, 100, and 200 — that are commonly used by professional traders to identify short-, medium-, and long-term trend directions. It offers a simple, no-setup-needed solution for visualizing market momentum and price structure on any timeframe.
🧠 Why This Script Was Created
Previously, many users faced confusion with built-in moving average scripts, where they had to manually change the type to EMA from the default SMA (Simple Moving Average). This extra step was unintuitive for newer users and could lead to misinterpretation of signals.
To solve this, we’ve created a dedicated script that only plots Exponential Moving Averages — no configuration needed. EMAs are more responsive to price changes and widely used in real-world trading setups, especially for intraday and swing strategies.
🔍 How It Works
EMA 10 & 20 – Detect short-term momentum shifts.
EMA 50 & 100 – Help visualize medium-term trend strength.
EMA 200 – Tracks long-term trend direction and institutional positioning.
Each EMA is plotted with distinct colors and line thickness to make trend tracking fast and intuitive.
⚙️ How to Use
Use across any timeframe (5m, 1H, 1D, etc.).
Watch for crossovers between shorter and longer EMAs.
Observe price interaction with EMAs as dynamic support/resistance levels.
Combine with other tools like RSI, volume, or price action patterns for confirmation.
🌟 What Makes It Unique
No settings confusion: Always uses EMA — no manual adjustments needed.
Multiple EMAs in one: Avoid clutter by combining essential levels in a clean overlay.
Practical by design: Built for traders who prefer responsive, real-time trend signals.
