Ultimate Multi EMA🔹 Ultimate Multi EMA + HTF Bias Line
This script plots four customizable EMAs (8, 21, 50, 200) with flexible colors and line widths.
It also adds an automatic Higher Timeframe (HTF) EMA line:
On the Daily timeframe: shows the Weekly EMA.
On lower timeframes (like 1-minute): shows the Daily EMA.
The HTF EMA helps to easily identify market bias.
All colors and thicknesses can be adjusted in the settings.
Default settings:
EMA 8 (green)
EMA 21 (gold)
EMA 50 (blue)
EMA 200 (black)
HTF EMA (lilac)
Multitimeframe
BTC Growth | AlchimistOfCrypto🌈 BTC Regression Bands & Halvings – Unveiling Bitcoin's Logarithmic Growth Fields 🌈
"The Bitcoin Regression Bands, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Bitcoin's price evolution within a multi-cycle growth paradigm. This indicator employs principles from hyperbolic regression where decay coefficients create mathematical boundaries that define Bitcoin's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from extensive cycle analysis, creating a dynamic representation of Bitcoin's logarithmic growth with adaptive color gradients that highlight critical halving-based phase transitions in the asset's monetary evolution."
📊 Professional Trading Application
The Bitcoin Regression Bands transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Bitcoin's monetary evolution. Scientifically calibrated across multiple halving cycles and featuring seamless rainbow visualization, it enables investors to perceive Bitcoin's position within its macro growth trajectory with unprecedented clarity.
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for cycle pattern recognition:
- Violet-Blue: Lower value accumulation zones with highest mathematical growth potential
- Green: Fair value equilibrium zone representing the regression mean
- Yellow-Orange: Moderate overvaluation regions indicating potential resistance
- Red: Statistical extreme zones indicating mathematical cycle peaks
- Halving Visualization 🔍
- Precise cycle boundaries demarcating Bitcoin's fundamental supply shock events
- Adaptive band spacing based on mathematical cycle progression
- Multiple sub-cycle markers revealing the probabilistic nature of Bitcoin's trajectory
🚀 How to Use
1. Identify Macro Position ⏰: Locate Bitcoin's current price relative to the regression bands
2. Understand Cycle Context 🎚️: Note position within the current halving cycle for time-based analysis
3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment
5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones
6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction
7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
Islamabad Forex Academy Strategy-1 Best on 1H-4H forex charts (EURUSD/GBPUSD)
Adjust supertrend multiplier between 2.5-3.2 based on volatility
Switch to close-price crosses during low volatility periods
Combine with London/New York sessions for best results
Scalping Bollinger BreakoutThe Scalping Bollinger Breakout Indicator is designed for scalping and short-term trading.
Key features:
Bollinger Bands: Detects volatility-driven breakouts above/below upper/lower bands.
MACD: Confirms bullish/bearish momentum for reliable signals.
Heikin Ashi: Aligns trades with smoothed trend direction, reducing noise.
Volume Filter: Ensures breakouts are supported by elevated volume.
Non-Repainting: Uses closed-bar data for consistent, reliable signals.
Visuals & Alerts: Displays buy/sell triangles and includes trading alerts.
Ideal for fast-paced trading in volatile markets.
EMA Crossover with Signalswhen the 8 ema line crosses above the 50 ema, a buy signal is initiated. Will not paint again for 24 hours. Should a candle touch the 20 ema line to the downside, a orange X will appear - helps for raising your stop-loss or closing your order.
Moving Average ToolkitMoving Average Toolkit - Advanced MA Analysis with Flexible Source Input
A powerful and versatile moving average indicator designed for maximum flexibility. Its unique source input feature allows you to analyze moving averages of ANY indicator or price data, making it perfect for creating custom combinations with RSI, Volume, OBV, or any other technical indicator.
Key Features:
• Universal Source Input:
- Analyze moving averages of any data: Price, Volume, RSI, MACD, Custom Indicators
- Perfect for creating advanced technical setups
- Identify trends in any technical data
• 13 Moving Average Types:
- Traditional: SMA, EMA, WMA, RMA, VWMA
- Advanced: HMA, T3, DEMA, TEMA, KAMA, ZLEMA, McGinley, EPMA
• Dual MA System:
- Compare two different moving averages
- Independent settings for each MA
- Perfect for multiple timeframe analysis
• Visual Offset Analysis:
- Dynamic color changes based on momentum
- Fill between current and offset values
- Clear visualization of trend strength
Usage Examples:
• Price Trend: Traditional MA analysis using price data
• Volume Trend: Apply MA to volume for volume trend analysis
• RSI Trend: Smooth RSI movements for clearer signals
• Custom: Apply to any indicator output for unique insights
Settings:
• Fully customizable colors for bull/bear conditions
• Adjustable offset periods
• Independent length settings
• Optional second MA for comparison
Perfect for:
• Advanced technical analysts
• Multi-indicator strategy developers
• Custom indicator creators
• Traders seeking flexible analysis tools
This versatile toolkit goes beyond traditional moving averages by allowing you to apply sophisticated MA analysis to any technical data, creating endless possibilities for custom technical analysis strategies.
MSS + Confirmation + RSI + Strong Candle FilterMSS Strong Confirmed Indicator
This indicator is designed to detect only the strongest entry opportunities based on strict conditions:
✅ MSS (Market Structure Shift) detection.
✅ Waiting for a strong confirmation candle (body > 60% of total candle length).
✅ RSI filter (above 50 for Long, below 50 for Short).
✅ AlphaTrend trend confirmation.
✅ Automatic drawing of Take Profit (TP) and Stop Loss (SL) levels.
Only rare, high-probability entries are shown — no noise, no false signals.
Ideal for traders who prioritize accuracy and quality over quantity.
Script created and designed by Taha Shalata 💎🚀
1-Hour Candlestick Patterns on 15m Chartplots 1 hour candlesticks on lower timeframe so there is no need to jump from higher time frame to lower time frame.
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts.
Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals.
This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class.
It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals.
This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below.
Here’s how the indicator works at a high level:
EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction.
Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship.
Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike.
Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average.
Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time.
Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips).
Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown.
Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing.
Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart.
Important Notes to Remember:
The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values.
This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement.
How To Use The Indicator:
You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades.
The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa.
This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool.
The Display Table:
The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal.
1. Z-Score
What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA.
Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of:
0 = perfectly average
> +2 = very overbought
< -2 = very oversold
How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below)
2. Z-Score Momentum
What it shows: The rate of change (ROC) of the Z-score:
Zmomentum=Zt − Zt − 1
Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean.
How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes
3. Correlation
What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA.
Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid.
How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore
4. Stationary
What it shows: A simplified "Yes" or "No" answer to the question:
“Is the spread statistically stable (stationary) and mean-reverting right now?”
Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud.
How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals
5. Last Signal
What it shows: The last signal issued by the system — either "Buy", "Sell", or "None"
Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa.
How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time
6. Bars Since Signal
What it shows: How many bars (candles) have passed since the last Buy or Sell signal.
Why it matters: Gives you context for how long the current condition has persisted
How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually
Indicator Settings:
Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get.
Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated.
Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives.
Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart.
Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment.
Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering.
Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent.
Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals.
Some More Recommendations:
We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
Scalping Supertrend + Stochastic RSIThe Scalping Supertrend + Stochastic RSI Indicator is designed for short-term trading and scalping on lower timeframes. It combines the Supertrend indicator to identify trend direction with the Stochastic RSI to pinpoint overbought/oversold conditions for precise entry and exit signals. The indicator generates buy and sell signals when the Stochastic RSI crosses predefined levels (oversold/overbought) while aligned with the Supertrend’s trend direction.
Flask's Week IndicatorThis indicator shows the start of each new week and syncs local timezone to exchange you trading on.
Event-Based Multi MA v1.1📈 Event-Based Multi MA v1.1 — Smart Trading with Dynamic MA Updates
Overview
In a world where most moving averages blindly follow every candle, Event-Based Multi MA v1.1 introduces a smarter logic:
➡️ Update moving averages only when significant price movements occur.
Forget the noise. Focus on what's important.
This indicator recalculates your moving averages only after meaningful price shifts, allowing you to spot true trends and avoid market whipsaws.
Key Features
✅ Event-Driven Logic
Set events based on:
Points: Absolute price change
Percent: Relative price movement
ATR: Volatility-adjusted dynamic movement
✅ Seven Fully Customizable Moving Averages (MA1–MA7)
Each MA offers:
Custom timeframe
Selection of types (EMA, SMA, WMA, VWMA, HMA, LSMA, DEMA, TEMA, ALMA, RMA)
Adjustable lengths and colors
✅ Reduced Market Noise
MAs adjust only after important price actions — cutting down lag and false signals.
✅ Multi-Timeframe Analysis
You can blend moving averages from different timeframes (e.g., 15m, 1H, Daily) into a single chart — perfect for professional multi-frame strategy building.
Settings Explained
Event Trigger Type: Select Points, Percent, or ATR-based movement.
Event Threshold: The amount of price movement needed to trigger a new calculation.
ATR Length: If ATR mode is selected, this controls the sensitivity.
Each Moving Average (MA1 to MA7) has:
MA Type: Choose the smoothing method that suits your trading style.
Length: The number of bars used in the calculation.
Color: Customize visual styling.
Timeframe: Load MAs from different timeframes into your current chart.
How to Use It in Trading
🔹 Trend Confirmation
Wait for event-triggered updates. Fresh MAs after a significant move are much stronger signals than constantly refreshing MAs.
🔹 Momentum Breakouts
Combine short-term (e.g., MA1, MA2) and long-term (e.g., MA5, MA6) MAs. When short-term MAs cross above/below long-term after an event, it's a powerful breakout cue.
🔹 Dynamic Support/Resistance
Use slow-moving MAs like 100-200 length across different timeframes.
The event-based recalculation keeps them relevant to recent major price moves.
🔹 Volatility Filters
Switch to ATR-based events to adapt moving average updates during volatile periods and calm markets.
Why It Beats Traditional Moving Averages
🚀 No More Overfitting to Every Candle
You focus only on impactful price changes.
🚀 Multi-Timeframe Flexibility
Blend micro and macro views seamlessly in one chart.
🚀 Cleaner Signals, Less Noise
Event-triggered recalculations filter out useless minor price wobbles.
🚀 Customization Beyond Standard MAs
TEMA, HMA, ALMA, DEMA, VWMA — all included for ultra-fine-tuned strategies.
✨ Ready to Upgrade Your Trading?
Forget the old, slow MAs.
Use intelligence. Trade events, not noise.
→ Add Event-Based Multi MA v1.1 to your chart and experience true precision!
Micro Gaps DetectorSimple Micro Gap Indicator: A Technical Analysis Tool
The Simple Micro Gap Indicator is a specialized momentum indicator designed to identify and analyze micro gaps between consecutive candlesticks in financial charts. Unlike traditional gap analysis that focuses on larger price gaps, this indicator specifically targets smaller, less noticeable spaces between candles.
Key Features:
Detects minimal price disparities between consecutive candlesticks
Helps identify potential short-term momentum shifts
Useful for high-frequency trading and scalping strategies
Functions as a momentum indicator for short-term price movements
Supertrend X2 + CalcSize Calculator:
Size Calculator is a risk management tool that helps traders position themselves intelligently by calculating optimal position size, stop loss, and take profit levels based on account capital, ATR volatility, and personal risk tolerance. It takes the guesswork out of sizing so you can focus on execution.
Features:
✅ Risk-based position sizing
✅ ATR-based stop loss & take profit levels
✅ Dynamic leverage estimation
✅ Support for long and short positions
✅ Visual display of key levels and metrics via table
✅ Works across any timeframe with locked timeframe support
How It Works:
This tool computes the ideal position size as a % of account capital based on how much you're willing to risk per trade and how far your stop loss is (in ATR units). It calculates corresponding stop loss and take profit prices, and visually plots them along with a floating table of metrics. You can lock the timeframe used for ATR and price, keeping your risk logic stable even when changing chart views.
Customizable Inputs:
Account capital and risk tolerance
ATR-based stop loss & take profit multiples
Trade direction (Long or Short)
ATR period and locked timeframe
Optional detailed metrics display
Dual SuperTrend:
The Dual Supertrend indicator enhances the classic Supertrend strategy by layering two customizable Supertrend signals with independent ATR settings. This setup gives you a deeper, more nuanced read on trend strength and potential entry zones.
Features:
✅ Two Supertrend lines (each with adjustable ATR periods and multipliers)
✅ Optional Heikin Ashi candle smoothing for noise reduction
✅ Color-coded trend background for fast visual analysis
✅ Multi-timeframe trend table overlay (customizable)
✅ Built-in signal logic to identify "Long", "Short", or "N/A" zones
✅ Built-in alerts from Long and Short Entry Zones
How It Works:
The script calculates two Supertrend levels using separate ATR settings. Trend direction is derived from the relationship between price and each band. When the larger (slower) Supertrend flips and the smaller (faster) confirms, it signals a potential entry. The multi-timeframe table helps you align trades across different timeframes.
Customizable Inputs:
ATR Periods & Multipliers for both Supertrends
Timeframes for entry zone detection (up to 4)
Enable/disable Heikin Ashi candles for smoother trend detection
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator
🎯 Purpose of the Indicator
This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use:
Imbalance zones, order blocks, breaker blocks
Liquidity grabs
Multi-timeframe confirmation (MTF)
📈 How to Use the Signals on the Chart
✅ LONG Signal (green triangle below the candle):
Conditions:
Price is in a discount zone (below the FIB 50% level)
A bullish engulfing candle appears
A bullish Order Block (OB) or Breaker Block is detected
There’s an upward imbalance
A bullish OB is confirmed on the higher timeframe
➡️ How to act:
Consider entering long on the current or next candle.
Place your stop-loss below the OB or the nearest swing low.
Take profit at the nearest liquidity zone or premium area (above FIB 50%).
🔻 SHORT Signal (red triangle above the candle):
Conditions:
Price is in a premium zone (above FIB 50%)
A bearish engulfing candle appears
A bearish OB or Breaker Block is detected
There’s a downward imbalance
A bearish OB is confirmed on the higher timeframe
➡️ How to act:
Consider short entry after the signal.
Place your stop-loss above the OB or swing high.
Target the discount zone or the next liquidity pocket.
⚙️ Recommended Settings by Trading Style
Trading Style Suggested Settings Notes
Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing.
Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals.
Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades.
🧠 Best Practices for Traders
Trend Filtering:
Use EMAs or volume to confirm the current trend.
Take longs only in uptrends, shorts in downtrends.
Liquidity Zones:
Use this indicator after liquidity grabs.
OBs and Breakers often appear right after stop hunts.
Combine with Manual Zones:
This works best when paired with manually drawn OBs and key levels.
Backtest the Signals:
Use Bar Replay mode on TradingView to test past signals.
🧪 Example Trade Setup
Example on BTCUSDT 15m:
Price drops into the discount zone.
A green triangle appears (bullish engulfing + OB + imbalance + HTF OB).
You enter long, stop below the OB, target the premium zone.
🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate.
⏰ Alerts & Automation
Enable alerts:
"SMC Long Entry" — fires when a long signal appears.
"SMC Short Entry" — fires when a short signal appears.
You can integrate this with bots via webhook, like:
TradingConnector, 3Commas, Alertatron, etc.
✅ What This Indicator Gives You
High-probability entries using SMC logic
Customizable filters for entry logic
Multi-timeframe confirmation for stronger setups
Suitable for both intraday and swing trading
MACD DualScope※日本語説明もあります。
📌 MACD DualScope – Fusion of Higher & Lower Timeframes
MACD DualScope is a multi-timeframe visualization tool that combines the power of two MACD readings in one view.
The background color reflects the trend direction of the higher timeframe MACD, while the indicator window shows the MACD of the current chart timeframe.
✅ Key Features
Visual background showing higher timeframe MACD direction (Green = Bullish, Red = Bearish)
Full MACD (MACD line, Signal line, Histogram) display for the lower/current timeframe
Separate parameter settings for higher and lower timeframes
Customizable higher timeframe (e.g., 1H, 4H, D, etc.)
Adjustable background transparency
Perfect for traders who want to capture the broader trend while timing precise entries on lower timeframes.
----------------------------------------------------------------------------------
📌 MACD DualScope - 上位足 × 下位足の融合ビジョン
MACD DualScopeは、異なる時間軸のMACDを同時に視覚化するインジケーターです。
背景には上位足のMACDの方向性をカラーで表示し、インジケーターウィンドウには現在の足（下位足）のMACDを表示します。
✅ 主な機能
上位足のMACD方向を背景色で表示（上昇：緑 / 下降：赤）
下位足のMACD、シグナル、ヒストグラムをチャートで視覚化
上位・下位それぞれでMACDのパラメーターを個別設定可能
上位足の時間足を自由に選択可能（例：1H, 4H, Dなど）
背景の透明度もカスタマイズ可能
トレンドの大きな流れと短期の変化を同時に捉えたいトレーダーにおすすめのツールです！
EMA Trend Pro: Dynamic Clouds & ColorsEMA Trend Pro is your ultimate trend companion, built for traders who want clarity, precision, and confidence in their entries.
This script fuses dynamic EMA cloud zones with breakout and pullback signals — giving you real-time insights into market structure and momentum. Whether you're trading crypto, forex, stocks, or futures, EMA Trend Pro adapts to your style.
🔧 Key Features:
✅ EMA Stack Clouds with Folding Sensitivity (9/21/48/200)
✅ Bullish / Bearish trend labels with real-time dashboard
✅ Volume strength analysis (High, Normal, Low)
✅ Breakout signal alerts (momentum-based)
✅ Pullback signal alerts (trend resumption)
✅ Fully customizable: EMA lengths, signal visibility, cloud opacity
✅ Works across all assets and timeframes
🛠️ Designed for scalping, swing trading, and intraday setups.
🔔 Built-in alerts make automation seamless — no guesswork.
💡 Usage Tips:
Use clouds and trend labels to identify structure and bias
Trade breakouts when EMAs align and volume confirms
Look for pullbacks into the EMA zone and enter on resumption
📅 Market Hours Filter: Keeps signals relevant during core trading hours (9:30 AM–4 PM ET).
👤 Developed by @glapougbaegarmondeh
🧠 Version 1.0 | 📆 Released: April 24, 2025
SynchroTrend Oscillator (STO) [PhenLabs]📊 SynchroTrend Oscillator
Version: PineScript™ v5
📌 Description
The SynchroTrend Oscillator (STO) is a multi-timeframe synchronization tool that combines trend information from three distinct timeframes into a single, easy-to-interpret oscillator ranging from -100 to +100.
This indicator solves the common problem of having to analyze multiple timeframe charts separately by consolidating trend direction and strength across different time horizons. The STO helps traders identify when markets are truly synchronized across timeframes, potentially indicating stronger trend conditions and higher probability trading opportunities.
Using either Moving Average crossovers or RSI analysis as the trend definition metric, the STO provides a comprehensive view of market structure that adapts to various trading strategies and market conditions.
🚀 Points of Innovation
Triple-timeframe synchronization in a single view eliminates chart switching
Dual trend detection methods (MA vs Price or RSI) for flexibility across different markets
Dynamic color intensity that automatically increases with signal strength
Scaled oscillator format (-100 to +100) for intuitive trend strength interpretation
Customizable signal thresholds to match your risk tolerance and trading style
Visual alerts when markets reach full synchronization states
🔧 Core Components
Trend Scoring System: Calculates a binary score (+1, -1, or 0) for each timeframe based on selected metrics, providing clear trend direction
Multi-Timeframe Synchronization: Combines and scales trend scores from all three timeframes into a single oscillator
Dynamic Visualization: Adjusts color transparency based on signal strength, creating an intuitive visual guide
Threshold System: Provides customizable levels for identifying potentially significant trading opportunities
🔥 Key Features
Triple Timeframe Analysis: Synchronizes three user-defined timeframes (default: 60min, 15min, 5min) into one view
Dual Trend Detection Methods: Choose between Moving Average vs Price or RSI-based trend determination
Adjustable Signal Smoothing: Apply EMA, SMA, or no smoothing to the oscillator output for your preferred signal responsiveness
Dynamic Color Intensity: Colors become more vibrant as signal strength increases, helping identify strongest setups
Customizable Thresholds: Set your own buy/sell threshold levels to match your trading strategy
Comprehensive Alerts: Six different alert conditions for crossing thresholds, zero line, and full synchronization states
🎨 Visualization
Oscillator Line: The main line showing the synchronized trend value from -100 to +100
Dynamic Fill: Area between oscillator and zero line changes transparency based on signal strength
Threshold Lines: Optional dotted lines indicating buy/sell thresholds for visual reference
Color Coding: Green for bullish synchronization, red for bearish synchronization
📖 Usage Guidelines
Timeframe Settings
Timeframe 1: Default: 60 (1 hour) - Primary higher timeframe for trend definition
Timeframe 2: Default: 15 (15 minutes) - Intermediate timeframe for trend definition
Timeframe 3: Default: 5 (5 minutes) - Lower timeframe for trend definition
Trend Calculation Settings
Trend Definition Metric: Default: “MA vs Price” - Method used to determine trend on each timeframe
MA Type: Default: EMA - Moving Average type when using MA vs Price method
MA Length: Default: 21 - Moving Average period when using MA vs Price method
RSI Length: Default: 14 - RSI period when using RSI method
RSI Source: Default: close - Price data source for RSI calculation
Oscillator Settings
Smoothing Type: Default: SMA - Applies smoothing to the final oscillator
Smoothing Length: Default: 5 - Period for the smoothing function
Visual & Threshold Settings
Up/Down Colors: Customize colors for bullish and bearish signals
Transparency Range: Control how transparency changes with signal strength
Line Width: Adjust oscillator line thickness
Buy/Sell Thresholds: Set levels for potential entry/exit signals
✅ Best Use Cases
Trend confirmation across multiple timeframes
Finding high-probability entry points when all timeframes align
Early detection of potential trend reversals
Filtering trade signals from other indicators
Market structure analysis
Identifying potential divergences between timeframes
⚠️ Limitations
Like all indicators, can produce false signals during choppy or ranging markets
Works best in trending market conditions
Should not be used in isolation for trading decisions
Past performance is not indicative of future results
May require different settings for different markets or instruments
💡 What Makes This Unique
Combines three timeframes in a single visualization without requiring multiple chart windows
Dynamic transparency feature that automatically emphasizes stronger signals
Flexible trend definition methods suitable for different market conditions
Visual system that makes multi-timeframe analysis intuitive and accessible
🔬 How It Works
1. Trend Evaluation:
For each timeframe, the indicator calculates a trend score (+1, -1, or 0) using either:
MA vs Price: Comparing close price to a moving average
RSI: Determining if RSI is above or below 50
2. Score Aggregation:
The three trend scores are combined and then scaled to a range of -100 to +100
A value of +100 indicates all timeframes show bullish conditions
A value of -100 indicates all timeframes show bearish conditions
Values in between indicate varying degrees of alignment
3. Signal Processing:
The raw oscillator value can be smoothed using EMA, SMA, or left unsmoothed
The final value determines line color, fill color, and transparency settings
Threshold levels are applied to identify potential trading opportunities
💡 Note:
The SynchroTrend Oscillator is most effective when used as part of a comprehensive trading strategy that includes proper risk management techniques. For best results, consider using the oscillator in conjunction with support/resistance levels, price action analysis, and other complementary indicators that align with your trading style.
Linear Regression with StdDev BandsLinear Regression with Standard Deviation Bands Indicator
This indicator plots a linear regression line along with upper and lower bands based on standard deviation. It helps identify potential overbought and oversold conditions, as well as trend direction and strength.
Key Components:
Linear Regression Line: Represents the average price over a specified period.
Upper and Lower Bands: Calculated by adding and subtracting the standard deviation (multiplied by a user-defined factor) from the linear regression line. These bands act as dynamic support and resistance levels.
How to Use:
Trend Identification: The direction of the linear regression line indicates the prevailing trend.
Overbought/Oversold Signals: Prices approaching or crossing the upper band may suggest overbought conditions, while prices near the lower band may indicate oversold conditions.
Dynamic Support/Resistance: The bands can act as potential support and resistance levels.
Alerts: Option to enable alerts when the price crosses above the upper band or below the lower band.
Customization:
Regression Length: Adjust the period over which the linear regression is calculated.
StdDev Multiplier: Modify the width of the bands by changing the standard deviation multiplier.
Price Source: Choose which price data to use for calculations (e.g., close, open, high, low).
Alerts: Enable or disable alerts for band crossings.
This indicator is a versatile tool for understanding price trends and potential reversal points.
Market Open & Pre-Open Linesversion 1.0 2025-04-23
Stated vertical line for market open and pre-market open. Market option include US, EU, UK, JP and AU. This line do auto-defined during daylight saving time. This help for those trade during market open and benefit for those doing backtest on it.
Trend Matrix Multi-Timeframe Dashboard(TechnoBlooms)Trend Matrix Multi-Timeframe Dashboard is a Minimalist Multi-Timeframe Trend Analyzer with Smart Indicator Integration. Trend Matrix MTF Dashboard is a clean, efficient, and visually intuitive trend analyzer built for traders who value simplicity without compromising on technical depth.
This dashboard empowers you to track trend direction across multiple timeframes using a curated set of powerful technical indicators—all from one compact visual panel. The design philosophy is simple: eliminate clutter, highlight trend clarity, and accelerate your decision-making process.
Key Features
✅ Minimalist Design with Maximum Insight
A compact dashboard view designed for clean charts and focused trading
Optimized layout shows everything you need—nothing you don’t
✅ Multi-Timeframe Access at a Glance
Instantly read the trend direction of selected indicators on multiple timeframes (e.g., 15m, 1h, 4h, 1D)
Customize the timeframe stack to fit scalping, intraday, swing, or positional strategies
✅ Robust Technical Indicators Built In
Each one is hand-picked for trend reliability:
MACD – Momentum and crossover confirmation
RSI – Overbought/oversold and directional shift
EMA – Dynamic support/resistance and trend bias
Bollinger Bands – Volatility structure and trend containment
PVT – Volume-Weighted Trend Confirmation
Supertrend – Price-following trend tracker
✅ Live Updates & Lightweight Performance
Built to update efficiently on every bar close
Minimal performance impact even with multiple timeframes active
By offering multi-timeframe (MTF) access to proven trend-following indicators, Trend Matrix helps you confidently align with the market’s dominant direction—without jumping between charts or analyzing indicators one by one.
This indicator offers customizable settings. The trader can choose the input parameters timeframes as per the choice.
Trend Matrix Multi-Timeframe Dashboard helps traders to identify trend based on technical indications. Trader can refer this while taking trading decisions.
🧠 Ideal For
Scalpers who need higher timeframe confirmation
Swing traders identifying clean entries aligned with the macro trend
Trend followers seeking clarity before committing capital
Price action & SMC traders validating market structure setups
Beginners who want a high-level trend guide without messy indicators
