SMEMA Trend CoreSMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes.
At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode:
Short Term mode gives more influence to 1H and 4H
Swing Trading mode gives more influence to 1D, 3D and 1W
Long Term mode gives more influence to 1W and 1M
However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements.
The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers.
The final score is capped between -10 and +10, and used to define the trend state:
Green when the trend is bullish (score > +1.5)
Red when the trend is bearish (score < -1.5)
Brown when the trend is neutral (score between -1.5 and +1.5)
Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias.
Main features:
A single, stable trend line based on six timeframes
Automatic rebalancing depending on trading mode
Quantified score integrating distance and slope
No overreaction to short-term noise
Deviation zones for advanced market context
No repainting, no lookahead, 100% real-time
SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.
移動平均線
Babil34 Comparative Average PanelBabil34 Comparative Average Panel is an advanced moving averages dashboard that allows you to add and compare up to 5 EMAs, 5 DEMAs, and 5 SMAs simultaneously.
You can independently set the period, source, and timeframe for each average. With its colorful table and optional labels, you can easily observe the differences, trend changes, and crossovers between all averages at a glance.
It is suitable for both short-term and long-term strategies and lets you monitor multiple averages side by side.
Key Features:
Support for up to 5 independent EMAs, 5 DEMAs, and 5 SMAs
Multi-timeframe and multi-source selection
Clean, colorful table visualization
Toggleable labels and table for flexibility
Compatible with all markets and timeframes
Enhanced visual and technical analysis
This panel is specifically designed for traders who want to compare different types and periods of moving averages at a glance.
Price Imbalance Flow Tracker📊 PIFT: Price Imbalance Flow Tracker
At first glance, PIFT might look like a standard Bollinger Band overlay slapped on a few moving averages…
It’s not.
Every part of this system is custom-tuned:
- The envelopes aren’t based on standard deviation—they’re built from smoothed price structure using average candle range.
- There’s no central mean reversion assumption—bands don’t just expand and contract randomly; they flip in and out of dominance based on trend control.
- The MA lengths (25/50/100) are deliberately chosen to sync with RIFT’s RSI layers, following a proprietary ratio rooted in how momentum and structure align over time.
- It may resemble Bollinger Bands from a distance, but this is a bespoke trend envelope engine, built for clarity, control, and confluence—not statistical noise.
A precision envelope engine for price action that mirrors RIFT’s RSI logic—because momentum and structure should speak the same language. PIFT tracks trend dominance directly on the price chart using layered moving average envelopes and dynamic fill logic.
Together with my other indicator called RIFT (Relative Imbalance Flow Tracker), it forms a two-part confluence system:
- RIFT shows who’s winning the momentum battle.
- PIFT shows who’s controlling price structure.
- Use them side by side to spot false moves, real breakouts, and trend exhaustion with confidence.
🧠 How It Works
PIFT plots three WMA-based moving averages:
🔹 25 WMA = fast reaction line
🔸 50 WMA = medium-term trend
🟣 100 WMA = long-term structural flow
Each MA gets a fixed-width envelope based on average candle range (not percent of price), so bands stay visually consistent across timeframes.
Then the script checks envelope dominance:
- If the fast band extends beyond the others → it glows.
- If not → it fades out to reduce clutter.
🎨 Color Logic
🔴 Upper Band (Red) = Overextended uptrend
🟢 Lower Band (Green) = Oversold or trending support zone
🔍 How to Read It
🔴 Red envelope dominates but price slows? = Uptrend stalling
🟢 Green envelope dominates + candles cluster near band? = Watch for bounce
✅ Fast band flips dominance = Potential breakout or reversal
⚙️ Why It’s Useful
- See when price is actually leading, not just floating between MAs
- Avoid choppy MA crosses and use envelope shape and fills to understand context
- Watch for volatility compression before major shifts
- Use with RIFT to spot momentum/price mismatches and false moves
🔗 Works Best With: RIFT
- PIFT is the price-side partner to RIFT. When both show dominance in the same direction, confidence increases.
- When one flips but the other doesn't? You're looking at either early momentum divergence (RIFT) or a structural fakeout (PIFT). Either way: you’re ahead of the candles.
Breakout Strategy with EMA & VolumeA breakout strategy combined with EMA and Volume data to give you the best results.
Indicator includes:
EMA 20 and EMA 50
Volume indicator
RSI (14)
Color Change EMA 200 (4H)200 Color Change EMA (4H Locked)
Overview
This indicator displays a 200-period Exponential Moving Average (EMA) that is locked to the 4-hour timeframe, regardless of what chart timeframe you're currently viewing. The EMA line changes color dynamically based on price action to provide clear visual trend signals.
Key Features
• Multi-Timeframe Capability : Always shows the 4H 200 EMA on any chart timeframe
• Dynamic Color Coding :
- Green: Price is above the 200 EMA (bullish condition)
- Red: Price is below the 200 EMA (bearish condition)
• Clean Visual Design : Bold 2-pixel line width for clear visibility
• Real-time Updates : Colors change instantly as price crosses above or below the EMA
How to Use
1. Add the indicator to any timeframe chart
2. The 4H 200 EMA will appear as a smooth line
3. Watch for color changes:
- When the line turns green, it indicates price strength above the key moving average
- When the line turns red, it suggests price weakness below the moving average
4. Use for trend identification, support/resistance levels, and entry/exit timing
Best Practices
• Combine with other technical analysis tools for confirmation
• Use the color changes as alerts for potential trend shifts
• Consider the 200 EMA as a major support/resistance level
• Works well for swing trading and position sizing decisions
Settings
• Length : Default 200 periods (customizable)
• Source : Default closing price (customizable)
Perfect for traders who want to keep the important 4H 200 EMA visible across all timeframes with instant visual trend feedback.
RONALD SMA BUY and SELL Indicator//@version=6
indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500)
// 1. Instellingen met standaardwaarden
fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA')
slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA')
signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen')
// 2. SMA berekeningen
fastSMA = ta.sma(close, fastLength)
slowSMA = ta.sma(close, slowLength)
// 3. Plot SMA lijnen
plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2)
plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2)
// 4. Signaal detectie
bullish = ta.crossover(fastSMA, slowSMA)
bearish = ta.crossunder(fastSMA, slowSMA)
// 5. Geavanceerde label positioning
yPosBuy = low - (ta.tr(true) * 0.5)
yPosSell = high + (ta.tr(true) * 0.5)
// 6. Dynamische labels met vingers
if bullish
label.new(
bar_index, yPosBuy,
text='BUY', color=signalColor,
style=label.style_label_up, textcolor=color.white,
yloc=yloc.price, size=size.normal)
if bearish
label.new(
bar_index, yPosSell,
text='SELL', color=signalColor,
style=label.style_label_down, textcolor=color.white,
yloc=yloc.price, size=size.normal)
// 7. Alternatieve plotshapes (optioneel)
plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small)
plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small)
useTrendFilter = input(true, "Gebruik Trendfilter")
trendLength = input(50, "Trend SMA Lengte")
trendSMA = ta.sma(close, trendLength)
Double EMA + Ma Pullback by vimel🧠 Combined Double EMA + MA Pullback Strategy
This indicator merges two popular trend-following and pullback trading concepts into a single, powerful tool:
🔹 1. Double EMA Pullback Logic
Uses two EMAs (default 20 & 50) to define trend direction.
Buy Signal: Triggered when price crosses above the shorter EMA and is above the longer EMA.
Sell Signal: Triggered when price crosses below the shorter EMA and is below the longer EMA.
Ideal for momentum-based trend continuation setups.
🔸 2. MA Cloud Pullback Strategy
Uses three EMAs to form a dynamic cloud zone.
Cloud Buy: Price dips into the cloud (pullback) and breaks out upward with bullish momentum.
Cloud Sell: Price rallies into the cloud and breaks down with bearish momentum.
Additional filters:
Candle body % strength (momentum validation).
Historical interaction with cloud (bar_limit lookback).
Designed to catch pullbacks within strong trends.
📈 Visuals
EMA lines and dynamic cloud with color fill.
Clear Buy and Sell markers for both systems:
D Buy / D Sell: Double EMA Pullback.
Buy / Sell: MA Cloud Pullback.
⚙️ Inputs
Fully customizable EMA lengths and sources.
Toggle each EMA independently.
Adjust candle strength % and backstep limit for fine-tuning entries.
📣 Ideal For
Trend traders who want both momentum and pullback confirmation.
Works well in strong directional markets (crypto, forex, indices).
Can be combined with volume or higher timeframe filters for added precision.
Multi MA 10 Lines PRO (Custom Label + Crossover Icon)Multi MA 10 Lines PRO – 10 Custom MAs, Dynamic Labels & Persistent Crossover Symbols
The ultimate professional Moving Average indicator — plot up to 10 fully customizable MAs (type, timeframe, color, width, style), display live price labels (value, % distance, or custom text), plus advanced ATR cross markers on every crossover (MA1/MA2).
NEW: All MA crossovers are marked with persistent symbols (choose icon, color, size) — instantly spot every golden/death cross in your backtest! Complete flexibility for scalpers, swing traders, and serious strategists.
EMA Crossover + SuperTrend Retest//@version=5
indicator("EMA Crossover + SuperTrend Retest", overlay=true)
// Inputs for SuperTrend
atrLength = input.int(10, "ATR Length", minval=1)
Factor = input.float(3.0, "SuperTrend Multiplier", step=0.1)
// Calculate EMAs
ema13 = ta.ema(close, 13)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// Calculate SuperTrend
= ta.supertrend(Factor, atrLength)
// Plot EMAs
plot(ema13, "EMA 13", color=color.new(#FF6D00, 0))
plot(ema50, "EMA 50", color=color.new(#2962FF, 0))
plot(ema200, "EMA 200", color=color.new(#00BFA5, 0))
// Plot SuperTrend
plot(supertrend, "SuperTrend",
color=direction == 1 ? color.rgb(230, 13, 13) : color.rgb(17, 255, 0),
linewidth=2)
// Trend Conditions
uptrendFilter = ema50 > ema200 and close > supertrend
downtrendFilter = ema50 < ema200 and close < supertrend
// Crossover Conditions with Trend Filter
bullishCross = ta.crossover(ema13, ema50) and uptrendFilter
bearishCross = ta.crossunder(ema13, ema50) and downtrendFilter
// Retest Conditions (Both EMAs and SuperTrend)
bullishRetest = bullishCross and
(low <= ema50) and
(low <= ema200) and
(low <= supertrend)
bearishRetest = bearishCross and
(high >= ema50) and
(high >= ema200) and
(high >= supertrend)
// Plot Signals
plotshape(bullishRetest, "Bullish Signal", shape.triangleup,
location.belowbar, color=color.green, size=size.small)
plotshape(bearishRetest, "Bearish Signal", shape.triangledown,
location.abovebar, color=color.red, size=size.small)
// Alert Conditions
alertcondition(bullishRetest, "Bullish Alert",
"EMA13↑50 + Retest 50/200/SuperTrend")
alertcondition(bearishRetest, "Bearish Alert",
"EMA13↓50 + Retest 50/200/SuperTrend")
Moving Average ExponentialUsing VWAP and two different EMAs. Also includes BollingerBands, showing if the Close is above or below VWAP.
9EMA Pullback9EMA pullback
✅ Rising 9 EMA
✅ 9 EMA above longer 21 EMA
✅ Closed above EMA for 10 prior bars
✅ Touch and close on EMA in the last bar
✅ Bar size smaller than 14-day ATR%
✅ Lower wick ≥ 25% of daily range
✅ Score-based screener signal
Momentum Contour Pulse [ApexLegion]🌊 Momentum Contour Pulse
*Advanced Multi-Layer Momentum Visualization with High-Precision Trend Reversal Detection*
📖 **OVERVIEW**
The **Momentum Contour Pulse** is a sophisticated momentum analysis tool that combines topographic-style visualization with precision trend reversal signals. This indicator creates dynamic "contour maps" of market momentum, similar to elevation maps, where color intensity and gradient effects reveal the strength and direction of underlying market forces.
**Key Innovation:** Unlike traditional momentum indicators that show simple lines or histograms, this system renders momentum as flowing, gradient-based bands that expand and contract with market volatility, providing an intuitive visual representation of market energy.
✨ **KEY FEATURES**
🎨 **Dynamic Contour Visualization**
- **20-Level Gradient System**: Creates smooth topographic-style momentum bands
- **Adaptive Color Intensity**: Glow effects strengthen with momentum conviction
- **Dual-Color Zones**: Cyan for bullish momentum, Purple for bearish momentum
- **Fade Effects**: Smooth visual transitions during momentum changes
⚡ **Precision Pulse Signals**
- **🟢 Bull Pulse**: Triggered at trend reversal to upward momentum + maximum intensity
- **🔴 Bear Pulse**: Triggered at trend reversal to downward momentum + maximum intensity
- **Professional Glow Effects**: Multi-layer plotshape rendering for premium visual quality
- **ATR-Based Positioning**: Signals placed at precise reversal points with volatility-adjusted spacing
🔧 **Advanced Technical Engine**
- **ATG Filter System**: Proprietary dual-timeframe EMA flow analysis with angular separation
- **Adaptive Volatility Bands**: Dynamic expansion/contraction based on market conditions
- **Multi-Condition Confirmation**: Combines trend detection, breakout analysis, and momentum strength
- **Intensity Filtering**: Only top 25% intensity signals qualify for pulse alerts
🚀 **HOW TO USE**
### **For Visual Analysis:**
1. **Contour Reading**: Brighter bands = stronger momentum, darker bands = weaker momentum
2. **Direction Assessment**: Cyan glow = bullish bias, Purple glow = bearish bias
3. **Momentum Tracking**: Watch band intensity changes to gauge momentum shifts
**For Flow Analysis:**
1. **🟢 Bull Pulse**: Monitor for upside pressure when pulse appears at support levels
2. **🔴 Bear Pulse**: Observe downside flow when pulse appears at resistance levels
3. **Confirmation**: Validate momentum expansion with other technical analysis for optimal engagement zones
**For Educational Purpose:**
1. Enable **"Show Debug Table"** to see all internal calculations
2. Enable **"Show Debug Lines"** to visualize trend zones and breakout levels
3. Study how momentum intensity correlates with price movements
⚙️ **CONFIGURATION GUIDE**
**ATG Filter Settings** 🎯
- **Short-Term Flow Length (21)**: Controls fast EMA sensitivity
- **Long-Term Flow Length (55)**: Controls slow EMA baseline
- **Volatility Expansion Multiplier (1.75)**: Adjusts breakout zone sensitivity
- **Trend Angle Threshold (25°)**: Sets minimum slope requirement for trend detection
**Visual Customization** 🎨
- **Upper Band Color**: Customize bullish momentum color (default: Cyan)
- **Lower Band Color**: Customize bearish momentum color (default: Purple)
- **Base Glow Intensity (3.0)**: Controls overall visual brightness
- **Momentum Boost Multiplier (1.3)**: Amplifies visual response to strong moves
**Learning Tools** 🔧
- **Show Debug Table**: Reveals all calculation steps and decision logic
- **Show Debug Lines**: Displays trend zones and breakout thresholds
- **Intensity Smoothing Period (8)**: Controls signal responsiveness vs stability
📚 **EDUCATIONAL VALUE**
This indicator serves as an excellent learning tool for understanding:
**Momentum Analysis Concepts:**
- How dual-timeframe EMA analysis reveals trend structure
- The relationship between volatility and trend confirmation
- Angular measurement techniques for trend strength assessment
**Advanced Pine Script Techniques:**
- Multi-level gradient rendering using fill() functions
- Dynamic color saturation based on calculated intensity
- Sophisticated fade effect systems using historical arrays
- Professional signal visualization with multi-layer plotshape
**Market Psychology:**
- How momentum builds and dissipates in trending markets
- Visual representation of market conviction through color intensity
- The relationship between breakout patterns and momentum confirmation
⚠️ **IMPORTANT NOTES**
**Analysis Guidelines:**
- Use on multiple timeframes for comprehensive momentum assessment
- Combine with support/resistance levels for enhanced flow initiation accuracy
- Consider overall market context when interpreting directional moves
**Important Notes:**
- Disable debug features for optimal chart performance
- Default settings are optimized for most market conditions
**Signal Interpretation:**
- Pulse signals indicate potential flow reversal points, not guaranteed outcomes
- Higher intensity signals generally show better momentum expansion reliability
- Always practice proper risk management regardless of directional move strength
⚠️ **Limitations**
1. **Backtesting Limitations**
This indicator is not a strategy and cannot perform official backtesting on TradingView's engine.
Pulse signals are visual cues only, not verified historical trades.
2. **Regression Band and ATG Filter Inherent Lag**
Linear regression bands are calculated from past data, creating natural lag.
The dual-timeframe EMA analysis (21/55) also requires sufficient data for trend establishment.
3. **High Intensity Threshold May Miss Signals**
The 75% intensity requirement filters for premium signals but may miss moderate opportunities.
In low-volatility periods, pulse signals may become infrequent.
4. **Single Indicator Dependency Risk**
Momentum Contour Pulse works best when combined with support/resistance analysis.
Relying solely on pulse signals without market context may reduce effectiveness.
5. **Parameter Sensitivity**
Modifying ATG filter settings or intensity thresholds should be done carefully.
Excessive sensitivity may produce false signals; excessive filtering may miss valid setups.
🎓 **TECHNICAL METHODOLOGY**
The indicator employs a sophisticated multi-step process:
1. **Flow Analysis**: Calculates dual-timeframe EMA separation and converts to angular measurements
2. **Threshold Adaptation**: Dynamically adjusts trend strength requirements based on historical volatility
3. **Breakout Detection**: Identifies price movements beyond adaptive volatility bands
4. **Intensity Calculation**: Normalizes momentum strength to 0-1 range with smoothing
5. **Visual Rendering**: Applies 20-level gradient system with dynamic transparency
6. **Signal Generation**: Filters for trend changes meeting maximum intensity criteria
**Core Algorithm:**
flowSeparation = math.atan(flowFast_ATG - flowSlow_ATG) * 180 / math.pi
- Converts dual-timeframe EMA separation into precise angular momentum measurement, enabling topographic-style visualization of market flow intensity.
! (i.imgur.com)
🎨 **Visual Features Showcase**
**Multi-Layer Contour Visualization in Action**
**Dynamic Gradient Bands:** Watch how the 20-level gradient system creates topographic-style momentum maps. The **emerald upper contours** represent bullish flow zones, while **violet lower contours** indicate bearish pressure areas. Notice how band intensity **glows brighter** during strong momentum phases and **fades** during consolidation.
**Precision Pulse Signal:** The **🟢 green pulse** (left side) demonstrates perfect trend reversal detection at the momentum flow initiation point. The multi-layer glow effect creates professional-grade signal visualization that stands out without cluttering the chart.
**Adaptive Band Expansion:** Observe how contour bands dynamically **expand during volatility** and **contract during calm periods**, automatically adjusting to market conditions using ATR-based calculations.
📊 **What You're Seeing:**
• **Emerald Glow Zones** → Bullish momentum dominance
• **Violet Flow Areas** → Bearish pressure regions
• **Gradient Intensity** → Real-time momentum strength
• **Pulse Signals** → High-conviction reversal points
• **Smooth Transitions** → Advanced fade effect system
✅ Usage Disclaimer
Momentum Contour Pulse is a visual analytics tool designed for educational and informational purposes only.
It is not financial advice, nor should its signals be interpreted as trading recommendations.
Users are solely responsible for their own trading decisions.
Always practice appropriate risk management and consult with a licensed financial professional when necessary.
The creator of this tool assumes no liability for any financial losses resulting from its use.
Liquidity Sweep Strategy [Enhanced]liquidity sweep simplifier
break of structure, move back into zone which pushes prices in the same direction, sweep of liquidity and entry
Macro Dashboard Multi-TickerThis indicator gives you a compact, high-impact overview of up to 10 custom assets — showing whether each is currently trading above or below a key moving average on a shared timeframe.
🟩 Above MA = colored bar
⬛ Below MA = dimmed bar
Features:
Monitor up to 10 symbols (stocks, crypto, ETFs, etc.)
Customize:
- Symbol
- Color
- Timeframe
- MA type (EMA/SMA)
- MA length
Shared logic keeps the layout clean and consistent.
Use Cases:
- Build a macro trend dashboard for SPY, QQQ, BTC, ETH, ARKK, IWM, DXY, VIX, etc.
- Confirm risk-on alignment
- Identify broad market rotation or weakness
- Pair with individual asset setups to stay in sync with the environment
This tool is ideal for traders who want a one-glance check on market strength without cluttering their main charts. It's fast, flexible, and highly visual.
Refined EMA Pullback Screener (v4) fully integrated Pine Script (v4) for your screener. It includes all prior conditions plus optional toggles for:
✅ Rising EMA
✅ EMA above longer EMA
✅ Closed above EMA for 10 prior bars
✅ Touch and close on EMA in the last bar
✅ Bar size smaller than 14-day ATR%
✅ Lower wick ≥ 25% of daily range
✅ Score-based screener signal
21EMA Pullback✅ Rising EMA
✅ EMA above longer EMA
✅ Closed above EMA for 10 prior bars
✅ Touch and close on EMA in the last bar
✅ Bar size smaller than 14-day ATR%
✅ Lower wick ≥ 25% of daily range
✅ Score-based screener signal
Smart Money Index (SMI) EnhancedSmart Money Index (SMI) Enhanced is an indicator that visualizes the behavior of "smart money" based on intraday price movements.
📌 Based on Don Hays’ classic formula:
SMI = Yesterday’s value – Morning movement + Late-day movement
🔍 Key Features:
Highlighted buy/sell zones for accumulation and distribution;
Alerts for crossovers between SMI and its moving average;
Supports multiple timeframes (hourly, daily, weekly).
✅ Useful for identifying institutional sentiment and potential market reversal points.
ℹ️ Works with stocks, indices, and cryptocurrencies.
This script is for educational purposes only and not financial advice.
EMA-MACD-Stoch by PashaThis indicator combines three popular technical analysis tools — EMA, MACD, and Stochastic — to generate strong and filtered buy/sell signals. It incorporates its own strategic logic and provides trade suggestions only when multiple confirmations align.
Developed by Mehmet (alias: Pasha), this indicator is designed for users seeking short-term entries in markets like BIST. It performs most effectively on the 30-minute timeframe, but can also be used across different timeframes.
Anti-SMT + FVG StrategieMade by Laila
4h gives 57% winrate!
Instead of trading based on an expected SMT divergence, you assume that the divergence will not continue. You combine this with a Fair Value Gap (FVG) that is touched by price as additional confirmation.
Anti-SMT Logic (False Divergence)
Short:
EURUSD makes a new high (candle 1)
DXY does not make a new low
Long:
EURUSD makes a new low (candle 1)
DXY does not make a new high
This looks like SMT divergence, but your expectation is: "There will be no SMT."
Fair Value Gap (FVG) Detection
Detects an unfilled gap between candle 1 and 3.
You only trade if the FVG is touched during:
🔹 Candle 1 (the false SMT candle) or
🔹 Candle 2 (the entry candle)
Extra Filters
Only go long if price is above the 50 EMA
Only go short if price is below the 50 EMA
Only trade between 08:00 and 18:00 UTC
Wait 10 candles cooldown between trades
Result:
You only trade when:
There is a possible SMT illusion
An FVG is touched
The setup aligns with trend, session, and timing
This gives you a rational, rare, but strong edge.
MA Cross MTF Alert (Miu)This script extends the classic moving average crossover strategy with support for up to 8 user-defined symbols across 4 custom timeframes, combined with a visual and alert system designed for traders who monitor multiple assets simultaneously.
Unlike traditional MA crossover tools, this script enables traders to receive real-time alerts for crossovers across multiple assets and timeframes, even when the script is not actively displayed on the chart — ideal for passive monitoring in multi-asset strategies.
What it does:
This script calculates two customizable moving averages (SMA or EMA) for each selected symbol and timeframe.
It then tracks crossover events:
- Bullish crossover when the fast MA crosses above the slow MA
- Bearish crossunder when the fast MA crosses below the slow MA
On the chart, it also displays the crossover signals for the current symbol and timeframe using color-coded cross icons.
Key features:
- Select SMA or EMA type for both moving averages
- Customize MA lengths and colors
- Works with any asset and timeframe
- Alerts include symbol and timeframe info for easy identification
How to use:
1) Add the indicator to your chart.
2) Choose the moving average type and lengths.
3) Enable/disable any of the 8 symbols and 4 timeframes.
4) Set up TradingView alerts by clicking “Create Alert” and selecting one of the alert() calls.
5) You will receive a message like:
BTC (1h) | MA Crossover ▲ or ETH (15m) | MA Crossunder ▼
Technical note:
This script uses request.security() to retrieve moving average values from up to 8 different symbols and 4 different timeframes in real time.
Feel free to leave your feedback or suggestions in the comments section below.
Enjoy!
10 EMA -1.5*ATRHelps identify potential support zones below the EMA by subtracting market volatility (ATR) from the EMA.
Useful for trend-following traders and pullback strategies to estimate dynamic entry zones.
Can act as a volatility-adjusted trailing level.
Pierre's H4 EMA/MA Compression Strategy (BTC)Pierre's logic and trading strategy from the X post and its related threads. The post focuses on Bitcoin (BTC) price action on a 4-hour (H4) chart, using Exponential Moving Averages (EMAs) and Moving Averages (MAs) to identify a potential "EMA/MA compression" scenario, which is a key part of his analysis.
Summary of Pierre's Logic
Pierre is analyzing Bitcoin's price movement on the H4 timeframe, focusing on a technical pattern he calls "EMA/MA compression." This concept is central to his analysis and involves the interaction of key moving averages (H4 100 MA, H4 200 EMA, and H4 300 MA) to predict price behavior. Here's the breakdown of his logic:
EMA/MA Compression Concept:
Pierre describes "EMA/MA compression" as a scenario where the price consolidates around key moving averages, leading to a tightening of volatility before a breakout or breakdown.
In this case, the H4 100 MA, H4 200 EMA, and H4 300 MA are the critical levels to watch. These moving averages act as dynamic support/resistance levels, and their behavior (break, hold, or flip) dictates the trend direction.
He notes that this compression often follows a cycle: EMA/MA compression → Trend → Gap Fills → Repeat. This cycle suggests that after a compression phase, the price tends to trend, fill any price gaps, and then return to another compression phase.
Key Levels and Conditions for a Bullish Scenario:
H4 100 MA: Must break or flip to the upside. A break above this level signals bullish momentum, while a failure to hold above it (a "flip") invalidates the bullish case.
H4 200 EMA: Acts as an "intermediary" level that must hold during pullbacks. If this level holds, it supports the bullish structure.
H4 300 MA: A critical support level. It must hold to keep the bullish scenario intact. If the price loses this level (and it flips to resistance), the bullish outlook is invalidated.
Pierre mentions that after the price breaks the H4 100 MA, it should aim to fill gaps between 109.5 and 110.5 (likely in thousands, so $109,500–$110,500). If the H4 200 EMA holds, the price might pull back to the H4 300 MA, where it could consolidate further before continuing the trend.
Invalidation Scenarios:
The bullish scenario is invalidated if:
The H4 100 MA is broken and flips to resistance (i.e., price closes below it after initially breaking above).
The H4 300 MA is lost and flips to resistance (i.e., price closes below it and fails to reclaim it).
Current Market Context:
Pierre notes a "nice bounce" in BTC's price, bringing it back into the compression zone. The price is currently fighting a key area on lower timeframes (LTF), likely referring to shorter timeframes like H1 or M15.
He mentions that all gaps have been filled for now (referencing the cycle of gap fills), which aligns with his expectation of reduced volatility as the price enters another compression phase.
Historical Context and Consistency:
Pierre has been tracking this scenario since the H4 100 MA break, as shared in his group @TheHavenCrypto
. He references notes from Monday (likely June 2, 2025, as the post is from June 6), indicating that his analysis has been consistent over the week.
In a follow-up post, he reflects on a recent trade where he took partial profits on the bounce but couldn’t fully capitalize on the move due to being on his phone and managing only a fraction of his intended position size near the H4 300 MA (for BTC) and H4 200 EMA (for ETH).
Pierre's Trading Strategy
Based on the post and its context, Pierre’s trading strategy revolves around the EMA/MA compression framework. Here’s how he approaches trades:
Setup Identification:
Pierre identifies setups using the H4 timeframe, focusing on the interaction of the H4 100 MA, H4 200 EMA, and H4 300 MA.
He looks for a "compression" phase where the price consolidates around these moving averages, signaling a potential breakout or breakdown.
In this case, the price breaking the H4 100 MA to the upside was his initial signal for a bullish setup.
Entry Points:
Pierre likely entered a long position (buy) near the H4 300 MA or H4 200 EMA during the recent bounce, as he mentions taking partial profits on the move.
He prefers entering after a pullback to these key levels (e.g., H4 200 EMA or H4 300 MA) as long as they hold as support. For example, in Thread 1 (Post 1930270942871118081), he shares a chart showing a long entry near the H4 300 MA with an upside target near 110,000–111,000.
Target Setting:
His primary target after the H4 100 MA break is to fill gaps between $109,500 and $110,500.
If the price reaches these levels and the H4 200 EMA holds, he expects a potential pullback to the H4 300 MA, followed by another leg up (as part of the trend phase in his cycle).
Risk Management:
Pierre sets clear invalidation levels:
A close below the H4 100 MA after breaking above it.
A close below the H4 300 MA with a failure to reclaim it.
He takes partial profits on bounces, as seen in his follow-up post where he mentions securing gains but not fully capitalizing on the move due to limited position size.
Position Sizing and Execution:
Pierre mentions being limited by trading from his phone, which restricted his position size. This suggests he typically scales into trades with a planned size but adjusts based on execution conditions.
He also notes going "AFK for the weekend" after taking profits, indicating a disciplined approach to stepping away from the market when not actively monitoring.
Cycle-Based Trading:
His strategy follows the cycle of EMA/MA compression → Trend → Gap Fills → Repeat. After the gaps are filled, he expects volatility to tighten (another compression phase), which could set up the next trade.
Key Takeaways for Traders
Focus on Key Levels: Pierre’s strategy hinges on the H4 100 MA, H4 200 EMA, and H4 300 MA. These levels are used to confirm trends, identify entries, and set invalidation points.
Patience for Compression: He waits for the price to enter a compression phase (tight consolidation around MAs) before expecting a breakout or breakdown.
Gap-Filling as a Target: Pierre uses price gaps (e.g., $109,500–$110,500) as targets, aligning with the market’s tendency to fill these gaps (as noted in the related web result from investing.com about CME gaps).
Risk Management: He has clear invalidation rules and takes partial profits to lock in gains while letting the trade play out.
Cycle Awareness: His trades are part of a broader cycle (compression → trend → gap fill → repeat), which helps him anticipate market behavior.
Additional Context from Related Threads
Thread 1 (June 4–June 6): Pierre’s earlier posts (e.g., Post 1930270942871118081) show historical examples of EMA/MA compression leading to trends and gap fills, reinforcing his current analysis. He also shares a chart with a potential upside target of $110,000–$111,000 if the H4 300 MA holds.
Thread 2 (June 3): Pierre mentions a Daily (D1) timeframe analysis where the D1 100 MA and D1 200 EMA align with range lows, suggesting a potential "wet dream swing long opportunity" if the price holds these levels. This indicates he’s also considering higher timeframes for confirmation.
Thread 3 (May 27): Pierre’s earlier analysis highlights similar concepts (e.g., H4 100 MA break, H4 200 EMA hold), showing consistency in his approach over time.
Conclusion
Pierre’s logic is rooted in technical analysis, specifically the interaction of moving averages on the H4 timeframe to identify "EMA/MA compression" setups. His strategy involves buying on pullbacks to key support levels (H4 200 EMA, H4 300 MA) after a breakout (H4 100 MA), targeting gap fills ($109,500–$110,500), and managing risk with clear invalidation levels. He follows a cyclical approach to trading, expecting periods of compression, trending, and gap-filling to repeat, which guides his entries, exits, and overall market outlook.
SMA Trend BoxCalculates trend base on a short SMA and a long SMA and displays a text box with result on right-side of canvas.
Helpful when trading on intraday timeframes but you want to know what the bigger-picture trend is (i.e. if you always want to trade in the direction of primary trend).