4-Hour Trend Strategy4-Hour Trend Strategy
This Pine Script® (v6) indicator is designed for high-conviction trend following on the 4-hour (240m) timeframe. It utilizes a multi-step confirmation process—Trend, Trigger, and Entry—to filter out market noise and identify high-probability reversal or continuation setups.
📈 Strategy Overview
The strategy follows a disciplined 3-step state machine logic to ensure trades are only taken when momentum and price action align.
1. The Trend Candle (State 1)
The process begins when the 4-hour price crosses the 50-period Simple Moving Average (SMA 50).
Long Bias: Price closes above SMA 50.
Short Bias: Price closes below SMA 50.
Visual: The candle bar color turns White.
2. The Trigger Candle (State 2)
Once a trend is identified, we wait for moving average momentum to confirm.
Long Trigger: SMA 5 crosses over SMA 50.
Short Trigger: SMA 5 crosses under SMA 50.
Visual: The candle bar turns Lime (Long) or Yellow (Short).
3. The Entry Candle (Execution)
We do not "chase" the trigger. Instead, we wait for a minor mean reversion (pullback) to the SMA 5.
Buy Entry: Price retraces down to touch or go below SMA 5 while in a Long Setup.
Sell Entry: Price retraces up to touch or go above SMA 5 while in a Short Setup.
Visual: A Green Triangle (Buy) or Red Triangle (Sell) appears.
🛠 Features
Multi-Timeframe Analysis: Automatically fetches SMA 200 from the Daily timeframe and SMA 50/5/10 from the 4-Hour timeframe, regardless of your current chart view.
Dynamic Stop Loss Levels: Upon entry, the script calculates and draws three distinct risk management levels:
1x ATR: Tight stop for aggressive momentum.
2x ATR: Standard stop for trend volatility.
50 SMA: Structural stop based on the primary trend line.
Clean UI: A "Show Only Latest" toggle ensures your chart isn't cluttered with old labels, keeping your focus on the current live setup.
Visual Backgrounds: The chart background is shaded Green (Bullish territory) or Red (Bearish territory) based on price relation to the SMA 50.
⚙️ Inputs & Configuration
Input | Default | Description
ATR Period | 20 | Period used to calculate volatility for Stop Loss levels.
Show Only Latest | True | When enabled, only the most recent signal's lines and labels are visible.
🚀 How to Use
Installation: Copy the code into the Pine Editor on TradingView and click "Add to Chart."
Identify the Bias: Watch for the background color and the White "Trend" candle.
Wait for Trigger: Look for the Lime/Yellow bars indicating SMA crossover.
Execute on Signal: Enter when the Triangle signal appears. Use the projected Blue Entry Line and Black SL Lines to set your orders.
Note: This is an Indicator , not a Strategy (backtesting) script. It provides visual signals and labels for manual execution or alert integration.
Disclaimer: This script is for educational and informational purposes only. Trading involves significant risk. Always perform your own due diligence.
Moving Averages
Multi-DMA % Relationships (v6)This script helps determine the momentum of stock and early rise detection. Uses the %gap between multiple moving averages like 20,50,200 . These are user configurable.
current close Vs 20 gap %, 20 vs 50 DMA gap % and 50 vs 200 DMA gap %. The higher the faster DMA % the higher the momentum. Use lower % for close Vs 20 DMA gap to pick early trends of uptrend.
This script also has a Vol. spike detection (user configurable) to add confidence to the DMA spike before taking initial positions.
GCM Quantum Strike: VMDPB & MarubozuTitle Field: GCM Quantum Strike: VMDPB & Marubozu
Description:
GCM Quantum Strike is a comprehensive technical analysis suite designed to visualize Momentum (Marubozu), Trend (Ribbons/DEMA), and Key Levels (PDHL/VWAP) on a single overlay.
The core innovation of this script is the "Phantom Mode" Marubozu Engine, a custom coding technique designed to solve the issue of color transparency mixing on overlay charts.
Originality & Concept
Standard scripts often struggle when highlighting specific candle patterns; drawing a highlight over an existing candle results in muddy, mixed colors due to transparency blending.
GCM Quantum Strike solves this using a unique logic flow:
1. Detection: It scans price action for Marubozu candles based on strict ATR (Volatility) and Percentage (Body/Wick) requirements.
2. Phantom Mode: When a signal is found, the script programmatically turns the original chart bar 100% invisible (color.rgb(0,0,0,100)).
3. Reconstruction: It instantly draws a new, Solid (100% Opacity) custom candle in that exact space.
This results in crisp, "Quantum" styled signals that pop off the screen without blending with the background or previous themes.
How it Works & Key Features
1. The Marubozu Engine (GM / RM)
• Logic: A candle is identified as a Marubozu if:
o Size: The range exceeds a user-defined multiple of the ATR (14).
o Body: Occupies >80% (default) of the total range.
o Wicks: Occupy <10% (default) of the total range.
• Visuals:
o GM (Green Marubozu): Signals strong Bullish influx.
o RM (Red Marubozu): Signals strong Bearish influx.
o Both are rendered in solid Neon Green/Red.
2. Trend Ribbons & Averages
• EMA Ribbons: A visual ribbon formed by EMA 5, 9, 15, and SMA 20. The color intensity changes based on the slope alignment, helping identify the strength of the immediate trend.
• VWMA 20 (Volume Weighted): Plots in Light Blue (Rising) or Orange (Falling). This helps confirm if price moves are backed by volume.
• DEMA 100 (Step-Line): A Double EMA plotted as a step-line to act as a clear, non-noisy baseline for the long-term trend.
3. Institutional Levels
• PDH / PDL: The Previous Day's High and Low are fetched from daily data (non-repainting) and plotted as "Cross" markers. These often act as strong intraday magnets or reversal points.
• VWAP: The classic Session Volume Weighted Average Price (Yellow).
• Bollinger Bands: Standard 2.0 deviation bands to visualize volatility expansion and contraction.
How to Use
This script is designed for "Confluence Trading." Do not rely on one signal alone; look for agreement among the indicators.
1. The Setup: Wait for the EMA Ribbons and VWMA 20 to align in color (e.g., Green/Blue for Buy).
2. The Trigger: Look for a GM (Green Marubozu) label. This indicates a high-momentum breakout or trend continuation candle.
3. The Validation: Ensure the GM candle closes outside the EMA ribbons or above the VWAP.
4. The Targets: Use the PDH (Red Crosses) or Upper Bollinger Band as logical take-profit zones.
Settings
• Marubozu Settings: Fully adjustable. You can change the Min Body %, Max Shadow %, and ATR Multiplier to filter out smaller candles during choppy markets.
• Moving Averages: Adjust lengths for VWMA, SMA, and DEMA.
• Toggles: Every component (PDHL, BB, Ribbons) can be toggled on/off to keep your chart clean.
Livermore AI EMA S/R Channel with VWAP Malama's Livermore AI EMA S/R Channel is a comprehensive trend-following and reversal detection system inspired by Jesse Livermore's legendary trading principles, modernized with advanced algorithmic filtering. This enhanced version integrates multiple layers of confirmation to filter noise and identify high-probability setups.
Justification for this Combination (The Mashup): Trading purely on price action or basic moving averages often leads to whipsaws. This script solves that problem by enforcing Confluence. A signal is only generated when Trend (EMA/VWAP), Momentum (RSI/MACD), Volume (Spikes), and Market Structure (Pivots/Support & Resistance) all align in a single bar. Merging these distinct analytical methods into one "Signal Engine" prevents the trader from needing to check five different indicators manually.
Underlying Calculations & Logic:
1. Dynamic Support & Resistance Engine:
The script calculates a cluster of significant EMAs (9, 24, 50, 200) and VWAP in real-time.
It actively monitors the price's distance from these levels. If price approaches within a specific ATR-based buffer zone, the script registers a potential "Bounce" or "Breakout" event.
2. Smart Pivot Detection:
It uses a customizable lookback period to identify significant swing highs and lows.
These pivots act as the primary triggers. A "BUY" or "SELL" signal is only authorized if price breaks a confirmed pivot level while the other filters (Trend, Volume, ADX) are green.
3. Multi-Layered Filtering (The AI Logic):
Trend: Checks alignment with the 9/24 EMA Channel. (9 > 24 = Bullish).
Momentum: An optional "Enhanced Signal Processing" module calculates a weighted score based on RSI position and MACD histogram slope to confirm trend strength.
Volume: Detects relative volume spikes (Volume > Average * Multiplier) to ensure institutional participation.
ADX: Filters out choppy, low-momentum markets (ADX < 20).
4. Live Intelligence Dashboards:
Debug Table: Shows the real-time status of every filter (ADX strength, RSI zone, Volume spike status, and nearest S/R levels).
Alert Table: Logs recent signals and bounces directly on the chart in a history table, ensuring you never miss the context of a setup.
How to Use:
Trend Following: Look for "BUY" or "SELL" labels. These appear when price breaks a pivot in the direction of the trend with volume and momentum confirmation.
Reversal Trading: Monitor the "Bounce" alerts in the table. These indicate price is respecting a key EMA or VWAP level, offering a low-risk entry point.
Risk Management: Use the EMA Channel (Green/Red fill) as a dynamic trailing stop zone.
Disclaimer: This indicator is a tool for analysis, not a guarantee of future performance. Always use proper risk management.
Prism Band Dynamics [JOAT]Prism Band Dynamics - Bollinger-Style Bands with Force Detection
Introduction and Purpose
Prism Band Dynamics is an open-source overlay indicator that creates dynamic Bollinger-style bands with an innovative "force detection" system. The core problem this indicator solves is that standard Bollinger Bands show volatility but don't indicate directional momentum. When all three band components (upper, lower, basis) move in the same direction, it indicates strong directional force that standard bands don't highlight.
This indicator addresses that by detecting when all band components align directionally, providing a clear signal of market force.
Why Force Detection Matters
Standard Bollinger Bands expand and contract based on volatility, but they don't tell you about directional momentum. Force detection adds this dimension:
1. Bullish Force - Upper band, lower band, AND basis all moving up together. This indicates strong upward momentum where even the lower support level is rising.
2. Bearish Force - Upper band, lower band, AND basis all moving down together. This indicates strong downward momentum where even the upper resistance level is falling.
3. Neutral - Mixed movement indicates consolidation or uncertainty.
How Force Detection Works
bool upperUp = upper > upper
bool lowerUp = lower > lower
bool basisUp = basis > basis
int forceFull = if upperUp and lowerUp and basisUp
1 // Bullish force
else if upperDn and lowerDn and basisDn
-1 // Bearish force
else
0 // Neutral
Additional Features
Squeeze Detection - Identifies when band width contracts below threshold, often preceding large moves
Gradient Fills - Color intensity reflects force strength
Direction Change Arrows - Visual markers when force direction shifts
Dashboard Information
Force - Current force status (BULLISH/BEARISH/NEUTRAL)
Position - Price location within bands (Upper/Mid/Lower Zone)
Band Width - Current width percentage with expansion/contraction label
Volatility - Squeeze status (SQUEEZE/NORMAL)
Force Count - Bars since last force change
How to Use This Indicator
For Trend Following:
1. Enter long when force turns BULLISH
2. Enter short when force turns BEARISH
3. Exit or reduce when force turns NEUTRAL
For Squeeze Breakouts:
1. Watch for SQUEEZE status in dashboard
2. Prepare for breakout in either direction
3. Enter when force confirms direction after squeeze
For Mean Reversion:
1. Only trade mean-reversion when force is NEUTRAL
2. Avoid fading moves when force is active
3. Use band touches as entry points during neutral force
Input Parameters
Length (20) - Period for basis and standard deviation
Multiplier (2.0) - Standard deviation multiplier for bands
MA Type (SMA) - Basis calculation method
Squeeze Threshold (0.5) - Band width percentage for squeeze detection
Timeframe Recommendations
4H-Daily: Cleanest force signals
1H: Good balance of signals and reliability
15m: More signals but more noise
Limitations
Force detection can lag during rapid reversals
Squeeze breakouts can fail (false breakouts)
Works best in markets with clear trending/ranging phases
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Force detection does not guarantee trend continuation. Always use proper risk management.
- Made with passion by officialjackofalltrades
WaveTrend MACD Fusion Oscillator [MatrixQuantLabs]WaveTrend MACD Fusion Oscillator is a composite momentum oscillator that combines WaveTrend trend structure with MACD momentum analysis in a unified panel.
It is designed to help traders better align trend strength, wave timing, and signal confirmation through normalization, filtering, and divergence analysis.
Core Concept
Instead of using the original WaveTrend histogram structure, this indicator adopts the standard MACD histogram as its momentum foundation.
This design choice allows for clearer and more reliable differentiation of trend strength, while maintaining consistency across different symbols and timeframes through normalization.
WaveTrend is then applied as a wave timing and signal layer, making the overall structure easier to interpret and more robust in varying market conditions.
Key Features
Normalized MACD for Cross-Market Consistency
• The indicator uses standard MACD parameters (12/26/9) and applies normalization to scale values into a consistent range.
• This helps avoid chart distortion across different symbols and timeframes.
• An optional “Hide Weekly+” mode is provided to prevent higher-timeframe MACD values from compressing the panel scale.
MACD Histogram with Optional MACD Lines
• The MACD histogram visually represents bullish and bearish momentum, with dynamic coloring to reflect momentum expansion or contraction.
• MACD and Signal lines can be optionally displayed when deeper analysis is required.
Divergence Detection (Regular & Hidden)
Built-in divergence detection supports both MACD lines and histogram-based divergences, with selectable modes:
• Regular Divergence for potential reversals
• Hidden Divergence for trend continuation
Pivot-based confirmation and range filters help reduce noise and false signals.
WaveTrend Oscillator with Cross Strength Classification
• The WaveTrend module consists of a main trend line and a signal line, highlighting wave structure and momentum shifts.
• Golden crosses and death crosses are classified into multiple strength levels, allowing users to distinguish minor signals from more significant ones.
• The closer a counter-directional cross occurs to the overbought or oversold zones, the stronger the potential reversal signal.
• Optional Laguerre smoothing can be enabled to reduce noise and improve signal stability.
MACD-Based Signal Filtering
WaveTrend cross signals can be filtered using MACD conditions:
• Histogram Filter: Bullish crosses only when the MACD histogram is bullish, bearish crosses only when bearish
• Zero-Line Filter: Bullish crosses only above the MACD zero line, bearish crosses only below
These filters help align wave signals with the broader momentum context and reduce counter-trend noise.
Parameter Notes
Normalization Period
• Adjust this value if the indicator appears compressed or if different symbols show inconsistent scaling.
Pivot Right
• Higher values provide stronger confirmation with more delay; lower values are more sensitive and respond faster.
Laguerre Smoothing (Gamma)
• Lower values offer stronger smoothing and stability; higher values provide faster but noisier responses.
Usage Notes
• Use WaveTrend crosses to identify wave timing and momentum shifts.
• Use MACD (histogram and zero line) to assess trend direction and momentum strength.
• Divergence signals should be treated as early warnings, not standalone trade triggers.
• Best results are achieved when combined with trend analysis, price structure, or higher-timeframe context.
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
KC EMA Ribbon with 200 EMAEMA Ribbon 21–50 with 200 EMA Trend Filter
This indicator is designed to identify high-probability trend continuation opportunities using a structured EMA ribbon and a higher-timeframe trend filter.
It combines a 7-EMA ribbon (21 to 50) to visualize momentum and market structure, along with a 200 EMA to define the dominant trend.
Signals appear only when price action, ribbon direction, and overall trend are aligned — helping traders avoid choppy and low-quality setups.
Indicator Components
EMA Ribbon: 21, 25, 30, 35, 40, 45, 50
Trend Filter: 200 EMA (yellow)
No background shading for a clean, price-focused chart
How It Works
The EMA ribbon changes color based on bullish or bearish structure.
A bullish environment occurs when the ribbon is stacked upward and price is above the 200 EMA.
A bearish environment occurs when the ribbon is stacked downward and price is below the 200 EMA.
LONG and SHORT signals are generated only when the market is trending, reducing signal noise.
Trading Logic
LONG setups:
Price above 200 EMA, ribbon bullish, and a pullback followed by bullish continuation.
SHORT setups:
Price below 200 EMA, ribbon bearish, and a pullback followed by bearish continuation.
This indicator is not designed for ranging or sideways markets. It performs best during clear directional trends.
Best Use Cases
Timeframes: 1H, 2H, 4H
Markets: Crypto, Forex, Indices
Style: Trend continuation & swing trading
Important Notes
Avoid trading when the EMA ribbon is compressed or flat.
Best results come from combining this indicator with market structure, key levels, and disciplined risk management.
This tool is meant to support decision-making, not replace a trading plan.
⚠️ This indicator does not predict the market. It helps traders stay aligned with the prevailing trend and manage entries more objectively.
GEOFF LONG/SHORT ENTRY + STOP + TP / FINALIZED + ALERT / EMA
This professional-grade scalper is engineered specifically for the Micro E-mini S&P 500 (MES) and focuses exclusively on high-probability "A+" setups. By stripping away secondary noise, the indicator identifies surgical entries where momentum, trend, and institutional value converge.
### THE "PERFECT SETUP" LOGIC (4-LAYER FILTER)
To ensure the highest strike rate, a trade is only triggered when all four of the following conditions align:
1. TREND: 8 EMA crossing the 21 EMA (Short-term momentum shift).
2. VALUE: Price must be above VWAP for Longs or below VWAP for Shorts (Institutional bias).
3. MOMENTUM: RSI must be > 55 for Longs or < 45 for Shorts (Confirming the "Flush").
4. VOLATILITY: The entry candle must close outside the EMA spread to confirm strength.
### KEY FEATURES
* IRON-CLAD ANCHORING: Uses Pine Script v6 'chart.point' math to mathematically weld boxes and labels to the price bars. Drawings will NOT drift or lag when zooming or panning.
* DYNAMIC RISK CALCULATOR: Automatically calculates Take Profit and Stop Loss levels based on your input points. It displays the real-time dollar gain/loss ($5 per point for MES) directly on the chart.
* SURGICAL VISUALS: Features a 3-label system (Entry Price, Target Price, and Stop Price) positioned externally to keep the candlestick price action clear and visible.
* COLOR-SYNC LOGIC: Intuitively designed so that the Profit Target is ALWAYS Lime/Green and the Risk/Stop is ALWAYS Red, regardless of whether you are in a Long or Short position.
* INTEGRATED ALERTS: Includes built-in alert conditions for "Perfect Long" and "Perfect Short" to sync with phone or browser notifications.
### BEST USED ON:
Optimized for the 1m, 2m, and 5m timeframes for MES Futures.
Alligator Trend ZoneThis indicator is based on Bill Williams’ Alligator it Simplifies trend detection and Visualizes trend strength.
• Green zone when price is above all three Alligator lines (strong bullish trend).
• Red zone when price is below all three lines (strong bearish trend).
• Moving averages (Jaw, Teeth, Lips) are included but hidden by default for a clutter-free view.
• Enable them anytime for deeper analysis.
• Background color shifts with trend bias.
• Bullish/Bearish arrows for quick signal recognition.
• Candle coloring for instant trend visualization.
• Built-in alerts for bullish and bearish setups
Disclaimer:
This script is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Please test thoroughly and use at your own discretion. You are solely responsible for your trading decisions.
W/D/4HR OTE Aligner (V6) - Alerts This indicator is a multi-timeframe (MTF) alignment and Optimal Trade Entry (OTE) alert tool designed for discretionary manual trading on the 15-minute timeframe.
Here is a description of its core functionality:
W/D/4HR OTE Aligner (V6) - Alerts
This custom TradingView indicator assists manual traders by identifying high-probability trading setups that meet specific structural and momentum criteria across multiple timeframes. It does not place trades automatically but generates a "Trade Signal" used for setting up reliable alerts.
Key Features:
Multi-Timeframe Bias Confirmation: The indicator uses a 50-period Exponential Moving Average (EMA) to confirm that the Weekly, Daily, and 4-Hour timeframes are all aligned in the same direction (all above for bullish, all below for bearish). This provides a strong directional bias.
OTE Zone Identification: It dynamically calculates recent swing highs and lows on the 4-hour chart (using reliable pivot detection) and highlights the Optimal Trade Entry (OTE) zone, typically centered around the 0.618 Fibonacci Retracement level.
15-Minute Entry Signal: Once price enters the OTE zone within the aligned trend direction, the indicator looks for a confirmation entry signal on the 15-minute chart, specifically a 9-period EMA crossing the 20-period EMA.
Manual Alert System: A transparent "Trade Signal" plot provides the trigger source for a manual TradingView alert, notifying the user exactly when all criteria are met for a potential long or short trade entry.
This indicator is a tool for finding precise entry points within dominant, confirmed trends.
for clarity i built this using Google AI to help with being away from the charts it reflects how i wish to progress on my journey so any tips or feed back with me much appreciated
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
Thanks @BackQuant for making a open source Kalman code <3
Bi-Fi StrategyVersion - Alpha
Only use this indicator on FX:US30 on NY open
Only take Breakout entry's when EMA trend matches the label color!
(More updates coming soon)
Kesisim Panteri + VMAKesişim Panteri + VMA is a combined overlay indicator that merges the EMA 8/13/21 crossover signals of “Kesişim Panteri” with LazyBear’s Variable Moving Average (VMA) trend filter. It plots the three EMAs, prints clear BUY/SELL markers on EMA8–EMA13 crossovers (optionally session-filtered), and shows a compact multi-timeframe trend table (Daily / 4H / 1H). VMA is plotted as an adaptive moving average that reacts to trend strength and can optionally color the line and candles. A dedicated candle-color mode lets you choose whether bars follow the Panteri position, the VMA trend, both (with priority), or stay neutral.
TRharmonic Fib & Pi Bands
# TRharmonic Fibonacci & Pi Bands - Technical Guide
## Theoretical Framework
The indicator is built with dynamic volatility bands based on different Fibonacci ratios (φ = 1.618, φ² = 2.618, φ³ = 4.236, φ⁴ = 6.854) and the mathematical constant π (3.14159) as deviation multipliers. The calculation of the central tendency occurs through using 9 different types of moving averages each (with specific mathematically properties) that are designed for market cycles.
## Moving Average Specifications
**Classical Averages**: Classic Averages are calculated as: Simple MA – arithmetic mean; Exponential MA – weighted, with exponentially decreasing weights, α = 2/(n+1); Smoothed MA (Wilder's RMA) – smoothed using α = 1/n to suppress noise effect; Triangular MA - double-smoothed SMMA(SMMA(x, ⌈(n+1)/2⌉), ⌊(n+1)/2⌋).
Advanced Averages: The Hull MA diminishes delay using the formula WMA(2×WMA(n/2) - WMA(n), √n). Kernel-based estimators utilize Epanechnikov (‘parabolic’, 1-u²) and Gaussian (‘exponential’, exp(-½(i/σ )²) kernel functions. Tis would correspond to the fi new’ expectation via its statistical mean which, for rate dominated data (multiplicative) is the Harmonic = n/Σ(1/xᵢ) (Geometric = exp(Σ log(xᵢ)/n), for multiplicative).
## Band Construction Methodology
Bands are derived from the basis ± (ATR × Fibonacci/Pi multiplier × width coefficient), where ATR undergoes 200-period calculation followed by 100-period RMA smoothing for stability. Each resultant band is further refined via Hull MA to eliminate discontinuities while preserving responsiveness.
## Projection Algorithm
Future band trajectories are extrapolated using MA-type-specific mathematical models. Linear extrapolation applies to SMA; exponential decay characterizes EMA/RMA projections; Hull MA incorporates second-derivative acceleration terms (x + vt + ½at²). Harmonic and Geometric projections operate in reciprocal (1/x) and logarithmic (log x) domains respectively, ensuring mathematical consistency with their computational foundations.
## Interpretation Guidelines
Positioning relative to the basis above it indicates bullishness, while sub-basis positioning suggests bearishness. Heavy band penetration (Fib 3-4 zones) indicates a potential change in market direction or mean reversion. The π band becomes an intermediate reference line between Fib 2 and Fib 3, which often works as a sort of dynamic S/R level because of its commonality in cyclic phenomenon.
## Liquidity Sweep Detection
The former highlights swing pivots beyond Fib 3 bands (according to Smart Money Concepts, institutional liquidity harvesting), reminiscent of possible reversals and thus deserving more attention analysis-wise.
EMA Distance BandsEMA Distance Bands
Use EMA Distance Bands to visualize historical price extension directly on your chart by translating percentage-based distance statistics into multi-tier adaptive price envelopes around a reference EMA.
These bands represent normal vs extreme price behavior relative to a higher-timeframe EMA, giving traders quantitative context about how far price is stretched from its structural mean.
Timeframe-agnostic, the indicator works across all chart and EMA timeframe combinations, making it versatile for scalping, intraday, and swing trading.
✂️ What It Does
- Plots a selectable EMA from any timeframe on your chart
- Measures percentage distance between price and the EMA
- Computes average and standard deviation of this distance over a configurable lookback
- Converts these statistics into price-based bands:
- 0.5σ band → minor deviations / “normal range”
- 1σ band → typical daily/weekly variation
- 2σ band → rare/extreme price extensions
- Shades the “normal range” for visual clarity
Bitcoin Daily Chart vs Weekly EMA
🔦Intention:
EMA Distance Bands are designed to answer the question:
“Where does price normally trade, and how extreme is the current deviation from the structural mean?”
Unlike a simple moving average envelope, the bands quantify rarity, giving traders a clear sense of statistical stretch.
✨ Key Features:
- Timeframe-agnostic EMA reference
- Multi-tier bands (0.5σ, 1σ, 2σ) for granular context
- Dynamic shading of normal range
- Numeric insight: compare current distance vs historical standard deviation
- Non-repainting, fully historical
- Clean on-chart visualization
- Works across all instruments and chart timeframes
📚 How to Read It
Price inside 1σ band → normal, statistically expected range
Price between 1σ and 2σ → stretched, may revert
Price outside 2σ band → extreme, rare price extensions
Compare with EMA Distance Index oscillator to see exact numeric distance relative to current bands
Bitcoin 1h chart vs 4h EMA
📈 Best Practices
- EMA timeframe should be equal to or higher than chart timeframe
- Use for context, risk framing, and identifying stretched conditions
- Combine with chart structure, VWAP, or volume for discretionary signals
- Adjust lookback based on chart timeframe for meaningful bands
🎹 Common Use Cases
- Identify mean-reversion opportunities
- Detect intraday or swing overextensions
- Evaluate trend pullbacks vs session/daily context
- Risk framing and stop placement
- Volatility regime awareness
🛠️ Settings Overview
- EMA Length – period of the reference EMA
- EMA Timeframe – timeframe of EMA calculation (scalable across charts)
- Lookback Bars – number of chart bars used to compute average and standard deviation
🖥️ Why This Is Powerful
This enhanced band system turns your EMA reference into a quantitative envelope, showing where price usually is, how extreme it is currently, and providing numeric and visual context in one tool.
Paired with the EMA Distance Index oscillator, it forms a complete framework for assessing price location and statistical stretch across any timeframe.
⚠️ Disclaimer:
EMA Distance Bands are intended for contextual and statistical analysis of price relative to a selected EMA. The bands illustrate typical ranges and extreme deviations, but do not constitute trade recommendations.
Market conditions can change rapidly, and historical patterns or standard deviations do not predict future price movements. Users are responsible for their own decisions, including risk management, trade execution, and capital allocation.
The developer is not liable for any losses or damages resulting from the use of this indicator. By using this tool, you accept full responsibility for your trading actions.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
aslanogluI am pleased to present you with my buy/sell strategy that you can use in all periods.
I would be pleased to discuss your experiences
SMA 2 & SMA 12 configurables + alertesEnjoy to use this indicator used in Powertrade community.
Thanks to Patrick, for his community.
It's a powerfull signal for sell and buy.
When the SMA 2 days goes above the SMA 12 days, it's a buy signal.
When the SMA 2 days goes below the SMA 12 days, it's a sell signal.
I recommand too, the use of : jeremiefranklin1 indicator based on 2 DEMA 20 + Choch patterns by BigBeluga + daily Candle by Natantia.
This combination will give you a really powerfull trading setup to earn lots of money with different trading assets.
Have fun.
EMA Distance IndexEMA Distance Index
EMA Distance Index measures how far price is extended from a structurally important exponential moving average calculated on a user-selected timeframe. It quantifies price location in percentage terms and compares current conditions to historical norms.
This indicator is timeframe-agnostic and works on any chart timeframe, making it a versatile tool for scalping, intraday, and swing trading.
✂️ What It Does:
- Compares current chart timeframe price to an EMA from a selectable timeframe
- Calculates the percentage distance between price and that EMA
- Computes a rolling average distance to establish historical norms
- Displays this information in a clean oscillator pane
Bitcoin 1h chart vs 4h EMA
🔦 Intention:
EMA Distance Index is designed to answer:
“How far is price from its structural mean, relative to what’s normal?”
Rather than predicting direction, it provides objective context about price location and extension.
✨ Key Features:
- Timeframe-agnostic (works on any chart)
- User-selectable EMA timeframe
- Percentage-based (volatility aware)
- Non-repainting
- Lightweight and fast
- Suitable for discretionary and systematic traders
Bitcoin Daily chart vs Weekly EMA
📈 Best Practices:
- EMA timeframe should be equal to or higher than chart timeframe
- Use as a context tool, not a standalone signal
- Adjust lookback length based on chart timeframe
- Combine with structure, VWAP, or volume analysis
📚 Common Use Cases
- Mean-reversion context
- Overextension identification
- Trend pullback evaluation
- Risk framing and trade location
- Volatility regime awareness
🛠️ Settings Overview
- EMA Length: Period used for EMA calculation
- EMA Timeframe: Timeframe on which EMA is calculated
- Lookback Bars: Number of chart bars used for averaging
⚠️ Disclaimer:
EMA Distance Index is an educational and informational tool that visualizes the distance between price and a selected EMA. It does not provide buy, sell, or trading signals, and should not be used as the sole basis for trading decisions.
Users are responsible for their own trades and risk management. Past performance, averages, or historical data do not guarantee future results. Always consider market structure, risk tolerance, and other technical/fundamental factors before taking any action.
The developer assumes no liability for any losses or damages resulting from the use of this indicator. By using this indicator, you acknowledge and accept these terms.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
ADR/ATR/EMA % FILTERADR%
ATR%
Daily EMA 5 % Distance
Daily EMA 10% Distance
2 Hour EMA 20% Distance
20-Day price control
20-Week price control
XU100 Index 5/20 control on 4-hour
TradEdge Final AlgoThis script is designed for traders who want to improve their trading skills and excel in their journey. The primary focus is on effective risk management and staying aligned with market trends. If you're looking to build the psychology and mindset needed to implement this strategy successfully, this script is for you.
For more details or if you have any questions, feel free to reach out at 855-708-9757.
EMA Ribbon WWL📊 EMA Ribbon
EMA Ribbon (Clean – No Background) is a minimalist, professional trend-identification indicator designed for traders who value clarity, structure, and price action over visual clutter.
This ribbon uses multiple exponential moving averages aligned by trend and does not use any background shading or cloud fill, keeping the chart clean and easy to read — ideal for discretionary and higher-timeframe traders.
🔹 How It Works
The ribbon is built from multiple EMAs that align and change color based on market direction.
Green EMAs indicate a bullish trend.
Red EMAs indicate a bearish trend.
A 200 EMA acts as the higher-timeframe trend anchor.
🎯 Best Use Cases
Identify primary market trend
Trade pullbacks into the EMA ribbon
Avoid choppy, sideways markets
Works well on Crypto, Forex, Indices, and Commodities
Recommended timeframes: 15m, 1H, 4H, Daily
TLC INOUT "One line represents an uptrend, signaling an opportunity to buy. When it becomes two lines, be cautious of a reversal and consider selling."
RB System"This indicator uses color changes to signal potential trend reversals. However, no single indicator should be the final authority for your trades. Please exercise caution."
根據顏色判斷是否轉勢的一個指標
單一指標不能做為最後根據
請小心參考






















