SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro
Master the Flow with Institutional Precision.
It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup.
This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money.
🧠 The Philosophy
Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level.
🛠️ Key Features & Functionality
⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range.
🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries.
⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives.
📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels.
⚙️ Customizable Modes
The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend.
The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value.
The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays.
🚀 How to Trade with STVL Pro
Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B).
Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B).
You can preset filter A to EMA 2000
You can preset filter B to HMA 5000.
If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict.
⚠️ Disclaimer
Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
무빙 애버리지
SMA 20 & 5 MagicMoving Average based envelops and bands are quite popular tools in the equity trading universe. One such popular band is 20 SMA High-Low band. In 20 SMA High-Low band generally a BUY is signaled when price breaks above the High of the band, and a SELL when price falls below the Low of the band. However, at times the time-price points to look for trading/ investing opportunities and taking position are not very clear in this generic mode.
This script combines the 20 SMA High-Low band and a 5 SMA line plotted over it, to tackle this limitation. It helps to find more precise trading/ investing opportunities, Entry and Exit time-price points above & below the band, traversing along the 5 SMA line. The price within the band is usually considered as 'no trades' zone.
This set up can be applied on any TF, but generally holds good for swings on daily/ hourly TFs. By tweaking SMA 20 and 5 to SMA 200 and 50 respectively in the settings, it may also help in identifying medium/Long term trends and investment opportunities using daily/ weekly TFs .
Take it as a tool for learning and analysis. Happy trading/ investing.
Outlier Resistant Moving AverageOutlier Resistant Moving Average (ORMA) | MisinkoMaster
Outlier Resistant Moving Average (ORMA) is a trend-following moving average designed to reduce the impact of abnormal price spikes while preserving responsiveness to real market moves. The goal is to provide a smoother and more stable trend reference that remains usable even during volatile or erratic price behavior.
Unlike traditional moving averages that react strongly to sudden price shocks, ORMA adapts its behavior to volatility conditions, helping traders follow trends without being constantly misled by temporary price extremes.
Key Features
Moving average designed to resist distortion from price outliers
Adaptive smoothing behavior that reacts to volatility conditions
Optional ATR-based dynamic bands for trend confirmation
Multiple moving average types supported as the calculation base
Flexible trend detection logic options
Automatic trend coloring and signal labeling
Candle coloring for intuitive trend visualization
How It Works
ORMA builds upon a selectable base moving average and modifies its behavior to reduce the influence of abnormal price movements. Instead of reacting equally to all price changes, the calculation adjusts its responsiveness according to changing volatility conditions.
When market volatility expands, the indicator becomes more conservative, preventing sudden spikes from distorting the average. During calmer conditions, responsiveness increases, allowing the average to track price action more closely.
Optional ATR-based bands can be applied around the average, allowing traders to use band breakouts as confirmation of trend strength rather than relying solely on slope changes.
The result is a moving average that remains stable in noisy markets while still adapting during real trend movements.
Inputs Overview
Source — Selects the price source used in calculations
Moving Average Length — Controls smoothing and calculation sensitivity
ATR Length — Controls volatility measurement used for adaptive behavior
Base Moving Average — Selects which MA type forms the calculation foundation
Trend Logic — Determines whether trend is detected via crossover, slope change, or both
Use ATR Bands — Enables or disables dynamic ATR bands
ATR Factor — Controls band distance from the average
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Floored Offset — Optional ALMA configuration affecting smoothing behavior
Usage Notes
Useful for filtering noise during volatile or choppy markets
ATR bands can help confirm stronger breakouts or trend continuation
Trend logic modes allow adaptation to different trading styles
Suitable for swing trading, trend-following, and position trading approaches
Can act as dynamic support or resistance in trending markets
Works well when combined with momentum or volume confirmation tools
Summary
Outlier Resistant Moving Average offers a volatility-aware trend reference that helps traders remain aligned with broader price movement while minimizing disruptions from sudden price spikes. It is especially useful for traders seeking smoother trend identification without sacrificing adaptability.
Double Trisectional Volatility BandsDouble Trisectional Volatility Bands (DTVB) | MisinkoMaster
Double Trisectional Volatility Bands (DTVB) is a volatility-based trend indicator designed to create smooth yet adaptive price envelopes capable of tracking trend structure while reacting to volatility expansion. The indicator emphasizes stability during consolidation while clearly highlighting strong price moves beyond normal market behavior.
This makes DTVB particularly suitable for traders seeking structured volatility envelopes that remain stable during noise yet clearly identify breakout and trend continuation phases.
Key Features
Double-layer trisectional smoothing for stable trend structure
Adaptive volatility bands responding to changing market conditions
Clear breakout detection through band expansion and price crossings
Dynamic candle coloring for immediate trend visualization
Automatic Long and Short markers on confirmed trend shifts
Designed to balance smooth structure with volatility responsiveness
Suitable for both breakout and trend-following strategies
How It Works
DTVB uses a multi-stage smoothing process that divides price behavior into layered components, allowing the central structure to remain smooth while still reacting to changing volatility conditions.
Instead of relying on a single smoothing pass, the indicator blends multiple smoothing layers to maintain structural consistency across varying market environments.
A volatility component then measures how far price deviates from this smoothed structure, and adaptive bands are constructed around the central value. When price moves outside these envelopes, it signals abnormal movement or potential trend continuation.
The result is a band system that stays stable during sideways markets yet expands when volatility increases, helping traders detect meaningful price transitions.
Inputs Overview
Source — Selects the price data used for calculations
Lookback Period — Controls the primary smoothing length used in the band structure
Factor — Adjusts the volatility multiplier controlling band width
Volatility Lookback — Defines the smoothing period applied to volatility calculations
Usage Notes
Designed for traders seeking smooth volatility envelopes
Breakouts occur when price crosses outside the bands
Band expansions often accompany strong trend movements
Works well for trend continuation and breakout confirmation
Best used alongside price structure or confirmation indicators
Parameters should be tuned according to asset volatility and timeframe
Summary
Double Trisectional Volatility Bands provide a smooth yet adaptive volatility envelope designed to highlight abnormal price movements while maintaining stable structure during consolidation. It is well suited for traders seeking structured breakout and volatility-aware trend analysis tools.
Adaptive Structure Trend Engine (ASTE)Adaptive Structure Trend Engine (ASTE)
Adaptive Structure Trend Engine (ASTE) is a non-repainting, multi-layer trend analysis indicator designed to help traders identify high-quality directional opportunities using market structure and adaptive moving averages. ASTE focuses on trend clarity, confirmation, and signal cleanliness, avoiding indicator noise and repeated signals.
🔍 Core Components
ASTE combines four powerful concepts into a single, structured framework:
• FRAMA (Fractal Adaptive Moving Average)
Detects market structure and directional slope changes.
• KAMA (Kaufman Adaptive Moving Average)
Measures price efficiency and regime stability.
• JMA (Jurik-style Moving Average)
Provides smooth momentum confirmation with minimal lag.
• EMA Hierarchy (21/50 + 50/100/150/200)
Validates trend strength and higher-order alignment.
📊 Signal Types
ASTE produces state-based signals (no repeated alerts on every bar):
1️⃣ Base Signal
Single tiny triangle
• FRAMA slope alignment
• KAMA direction confirmation
• JMA momentum confirmation
• EMA 21/50 trend validation
2️⃣ Strong Signal
Two stacked triangles
• All Base Signal conditions
• PLUS EMA 50/100/150/200 full trend confluence
Signals remain active until an opposite signal of the same type appears.
🎨 Visual Design
• Clean stacked triangle system
• No repainting
• No signal spam
• EMA band with gradual color transition
• Fully configurable visibility options
⚙️ User Controls
• Adjust FRAMA, KAMA, and JMA lengths
• Toggle Base / Strong signals
• Show or hide EMA band
• Works on all markets and timeframes
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Always use proper risk management and confirm signals with additional analysis. Past performance does not guarantee future results.
Level 1 Gold - MAs & BiasLevel 1 Gold - MAs & Bias
A clean trend bias indicator designed for the Level 1 Gold trading strategy.
Features:
EMA 5 (Orange) - Fast exponential moving average for momentum confirmation
SMA 21 (Blue) - Slow simple moving average for trend direction
Trend Bias Detection - Tracks the last EMA5/SMA21 crossover to determine trade direction:
EMA5 crosses ABOVE SMA21 → "BUYS ONLY" (only take long trades)
EMA5 crosses BELOW SMA21 → "SELLS ONLY" (only take short trades)
Session Filter - Highlights invalid trading sessions (default: 06:00-16:00 UK time, avoids Monday AM and Friday PM)
Crossover Markers - Green Circle (bullish cross), Red Circle (bearish cross)
How to Use:
Wait for an EMA5/SMA21 crossover to establish bias
Only take trades in the direction of the bias
Avoid trading during shaded (invalid) session times
Look for breakouts across your horizontal support/resistance levels that align with the bias
Settings:
Moving average lengths (default: EMA 5, SMA 21)
Session times and filters (customizable)
Toggle visuals on/off
Adjustable colors
Best Used On: 1H timeframe for Gold (XAUUSD)
Outlier Catching Moving AverageOutlier Catching Moving Average (OCMA) | MisinkoMaster
Outlier Catching Moving Average (OCMA) is a volatility-adaptive trend indicator designed to react quickly to abnormal price movements while maintaining smooth behavior during normal market conditions. The indicator aims to capture sudden price expansions without sacrificing overall trend clarity.
This makes OCMA suitable for traders who want faster adaptation to unusual market activity while still preserving stable trend structure across varying volatility regimes.
Key Features
Volatility-adaptive moving average designed to react to price outliers
Multiple moving average bases supported for flexible smoothing behavior
Optional ATR-based adaptive bands for volatility envelopes
Configurable trend logic for earlier signals or stronger confirmations
Dynamic candle coloring for intuitive trend visualization
Automatic Long and Short markers on confirmed trend transitions
Designed to balance responsiveness and smoothness across market conditions
How It Works
OCMA builds on traditional moving average concepts but incorporates adaptive smoothing that adjusts according to changing market volatility.
Rather than behaving uniformly across all conditions, the average becomes more responsive when price behavior deviates strongly from recent structure and smoother when markets return to normal activity.
Optional ATR bands expand and contract with volatility, helping identify when price moves significantly away from its adaptive equilibrium.
The result is a moving average that remains stable in calm markets yet quickly adapts when price action becomes irregular or impulsive.
Inputs Overview
Source — Selects the price data used in calculations
Moving Average Length — Controls the main smoothing period
ATR Length — Sets the volatility measurement period used for band calculations
Base Moving Average — Selects which moving average type is used as the foundation
Trend Logic — Chooses whether trends are detected via band crossover, average direction change, or both
Use ATR Bands — Enables or disables adaptive volatility bands
Factor — Controls ATR band width sensitivity
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Usage Notes
Designed to detect abnormal price expansions while preserving overall trend structure
Suitable for breakout traders and volatility-aware trend strategies
Band crossovers can signal potential trend transitions
Average direction changes may confirm continuation or reversal
Works well when combined with market structure or confirmation tools
Adjust parameters according to asset volatility and timeframe
Summary
Outlier Catching Moving Average provides a volatility-aware alternative to standard moving averages, helping traders capture unusual price behavior while maintaining smooth and readable trend signals. It is well suited for traders seeking adaptive trend tools capable of responding when markets move outside normal conditions.
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history.
1. The Kernel Physics (Bandwidth Modulation)
In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA.
A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends.
It try solving this by making h a function of the Asset's volatility ratio:
heff=h×max(0.5,min(SMA(ATR20,100)ATR20,2.0))
If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal.
vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0
vol_mod = math.max(0.5, math.min(vol_ratio, 2.0))
h_eff = h_val * vol_mod
2. The Gaussian Loop (Endpoint Estimation)
Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate.
We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi, we calculate a weight wi based on how far away it is in time (distance).
The weight is derived from the Gaussian Kernel function:
wi=exp(−2heff2i2)
Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0.
for i = 0 to lookback by 1
float dist = float(i)
float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2)))
num := num + w * src
den := den + w
3. Statistical Deviation (MAE vs. StDev)
Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars.
This one use Mean Absolute Error (MAE) instead.
MAE=N1∑∣Price−y^∣
MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash.
Pine Script
float error = math.abs(src - y_hat)
float mae = ta.sma(error, lookback)
We project two sets of bands:
Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk.
Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE).
Input & Visual Summary
Kernel Physics:
h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother.
use_vol: Keep this TRUE. It prevents the bands from being too tight during news events.
Envelope Statistics:
mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
Moving Average Momentum Bands📊 MA Momentum Bands - Crossover Detection with Predictive Signals
Overview
Advanced moving average system with intelligent crossover detection and early warning predictive signals. Designed to catch trend changes with precise timing while filtering out choppy market noise.
Key Features
📈 4 Customizable Moving Averages
Choose from EMA, SMA, SMMA (RMA), WMA, or VWMA
Adjustable periods and colors
Visual fill zones between MA pairs
✓ Confirmed Crossover Signals
Fires on actual MA crossover with confirmation filters
Slope Filter: Requires slow MA to be trending (filters choppy markets)
Acceleration Filter: Detects momentum shifts and deceleration (catches reversals)
Highly configurable thresholds for different trading styles
⚠ Predictive Signals (Optional)
Early warning system fires 1-8 bars BEFORE actual crossover
Velocity-based calculation estimates when crossover will occur
Smart debouncing prevents signal spam (fires once per setup)
Auto-resets after crossover or when prediction fails
🔍 Debug Table
Real-time metrics: MA slope, acceleration, velocity, distance
"Bars Until Cross" prediction countdown
Perfect for fine-tuning settings
How It Works
Confirmed Signals (✓ triangles):
Fast MA crosses Slow MA
Slow MA must be trending (slope > threshold) OR decelerating
Filters ensure quality signals in trending markets
Predictive Signals (⚠ triangles):
Calculates MA velocities (rate of change)
Estimates bars until crossover based on approach speed
Fires early warning when crossover imminent
Only fires once per setup (no spam)
Best Use Cases
Swing Trading: Catch trend changes early with predictive signals
Trend Following: Use confirmed signals for high-probability entries
Multi-Timeframe: Combine with higher TF analysis for confirmation
Filter for Other Strategies: Add MA crossover confirmation to your existing system
Recommended Settings
Conservative (Fewer, Higher Quality Signals):
Slope Threshold: 0.002-0.005
Acceleration Filter: ON
Predict Bars Ahead: 5-8
Balanced (Default):
Slope Threshold: 0.001-0.002
Acceleration Filter: ON
Predict Bars Ahead: 3-5
Aggressive (More Signals, Earlier Entries):
Slope Threshold: 0.0001
Acceleration Filter: OFF
Predict Bars Ahead: 1-3
Quick Start
Add to chart - confirmed signals work immediately
Adjust slope/acceleration filters to match your timeframe
Enable predictive signals for early entries
Use debug table to fine-tune settings
Set up alerts for hands-free trading
Alerts Included
Bullish/Bearish MA Cross (confirmed)
Predictive Bullish/Bearish Cross (early warning)
Perfect for traders who want to catch trend changes early while avoiding false signals in choppy markets!
Roboballs42 EMA + PVSRA Vector Candles + CME Gap + SMC BoxesAll-in-one BTC overlay: 13/50/200/800 EMAs + 50 EMA cloud + PVSRA vector candles + VCZ zones + CME weekend gaps + Auto-Fib Golden Pocket + optional S/D boxes.
Roboballs42 • EMA Strategy + Vector Candles + CME Gap (All-in-One Overlay)
This is my personal “daily driver” overlay built for BTC/crypto, but it works on any chart/timeframe.
It combines clean trend structure with liquidity/volume cues and a few high-utility market context tools.
What’s included
EMA Strategy: 13 / 50 / 200 / 800 EMAs (custom colors, thickness, line style)
50 EMA Cloud (volatility-based band, border hidden for clean look)
13/50 Cross Markers (custom shapes/sizes) + optional ATR-offset arrows
PVSRA Vector Candles (via TradersReality library) + alerts
Vector Candle Zones (VCZ) (optional zones based on vector candle logic)
CME Bitcoin Weekend Gap: shaded weekend + gap box that extends right and shrinks as filled
Auto-Fib Golden Pocket (0.618–0.65) + optional 0.382 / 0.5 / 0.786 + anchor line
Daily Open + Weekly Psy Levels (TR style)
SMC Lite Supply/Demand Boxes (optional, lightweight)
How I use it (simple)
Trend bias from EMAs (13/50 for momentum, 200/800 for macro bias)
Vector candles + VCZ for “effort / participation” and reaction zones
CME gaps for weekend inefficiencies + likely magnets/targets
Golden Pocket + 0.5 for clean pullback zones in trend
Support / Donations (BTC)
If this indicator helps you and you want to support continued development, BTC donations are appreciated:
BTC: bc1qvda8daynuqhpx8e9g07ddyelhpmv4ja5wc9cmm
Notes
Some tools are designed for specific timeframes (e.g., Weekly Psy levels valid for certain intraday TFs).
CME gap logic is based on Chicago time and weekend schedule assumptions.
Disclaimer
For educational and analytical purposes only. Not financial advice. Always manage risk.
S21 SETUP! by TophengzkyThis script is intended only for a specific strategy or set up! Only to be use by Lightning Strategy Group T3 Snipers!
It was developed for us to make our trading strategy handy and easily to navigate and execute our set ups!
EMA Rebound Strategy: Stochastics & RSI Confirmation日本語解説は英文の次
Description
This indicator is a robust trend-following tool designed to capture high-probability "Buy the Dip" and "Sell the Rally" opportunities. It identifies precise entry points by combining long-term trend analysis with momentum oscillators.
🟢 How it Works (Long Setup)
Trend Identification: Price must be trading above the EMA 200, signaling a dominant bullish trend.
Mean Reversion/Pullback: Price approaches or touches the EMA 200 (within a customizable proximity percentage).
Oversold Condition: The Stochastics oscillator enters the oversold zone (<20), indicating a temporary price exhaustion.
Momentum Confirmation (Trigger): The RSI crosses back above the 50 level, confirming that bullish momentum has resumed.
🔴 How it Works (Short Setup)
Trend Identification: Price must be trading below the EMA 200.
Pullback: Price rallies back toward the EMA 200.
Overbought Condition: Stochastics enters the overbought zone (>80).
Momentum Confirmation (Trigger): RSI crosses below the 50 level, confirming the resumption of bearish momentum.
⚙️ Key Parameters
EMA Length: Default is 200. Defines the "Backbone" of the trend.
Proximity (%): Adjusts how close the price needs to get to the EMA to validate a "touch."
Stochastics & RSI: Fully customizable periods and levels to match your preferred timeframe.
Lookback Period: Sets the expiration for the "touch" and "oversold/bought" conditions to ensure the signal is timely.
💡 Best Use Cases
Timeframes: 15m, 1h, and 4h are recommended.
Assets: High-liquidity pairs like EUR/USD, USD/JPY, and Gold (XAU/USD).
Tip: For best results, ensure the EMA 200 is clearly sloped in the direction of the trade.
－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－
解説
このインジケーターは、長期トレンドにおける「押し目買い」と「戻り売り」を的確に捉えるためのトレンドフォローツールです。EMA200をトレンドの基準（壁）とし、オシレーターで反発のタイミングを計ります。
🟢 買いサインの条件
環境認識: 価格が EMA200より上 で推移していること。
引きつけ: 価格がEMA200付近まで下落（接近・タッチ）すること。
調整確認: ストキャスティクス が売られ過ぎ水準（20以下）に到達。
反発確定: RSIが50を上抜ける 瞬間、トレンド回帰と判断しサインを表示します。
🔴 売りサインの条件
環境認識: 価格が EMA200より下 で推移していること。
引きつけ: 価格がEMA200付近まで上昇（接近・タッチ）すること。
調整確認: ストキャスティクス が買われ過ぎ水準（80以上）に到達。
反発確定: RSIが50を下抜ける 瞬間、トレンド回帰と判断しサインを表示します。
⚙️ 主なパラメータ設定
EMAの期間: デフォルトは200。トレンドの強弱を測る基準です。
EMA接近許容範囲 (%): EMAにどこまで近づいたら有効とするか。通貨ペアのボラティリティに合わせて調整可能です。
サイン有効期限（本数）: EMAにタッチ後、何本以内にRSIが50を抜ける必要があるかを設定します。
💡 推奨される活用法
推奨時間足: 15分足、1時間足、4時間足。
推奨通貨ペア: ドル円、ユーロドル、ゴールドなど流動性の高い銘柄。
コツ: EMA200にしっかりとした「傾き」がある時にエントリーすることで、勝率を高めることができます。
EMA Multi Cross + SR Breaks & RetestsDescription
The EMA Multi Cross with Support & Resistance Break & Retest indicator combines trend-following moving averages with dynamic support and resistance zone detection to help traders identify trend direction, momentum shifts, and key price reaction areas in real time.
The indicator plots multiple Exponential Moving Averages (EMAs) to provide a clear view of short-, medium-, and long-term trends while automatically detecting high-volume support and resistance zones. It also highlights when these zones break or successfully hold, helping traders spot potential continuation or reversal opportunities.
Key Features
Multi-EMA Trend System
The indicator displays EMA 9, 13, 15, 21, 50, and 200 to help traders quickly assess trend structure and market momentum.
EMA Crossover Alerts
Alerts can be triggered when important EMA crossovers occur, helping traders capture momentum shifts and potential entries.
Cross alerts included:
EMA 9 crossing EMA 15
EMA 9 crossing EMA 21
EMA 13 crossing EMA 50
EMA 21 crossing EMA 200
Both bullish and bearish signals are supported.
Dynamic Support & Resistance Zones
The script automatically detects potential support and resistance areas based on price pivots and volume activity, plotting them as zones directly on the chart.
Stronger zones appear darker, helping traders quickly identify important reaction areas.
Break & Retest Detection
When price breaks a support or resistance zone, the zone changes appearance to visually confirm the breakout. If price returns and holds the level, the zone adjusts back, signaling a possible continuation.
This helps traders identify:
Breakouts
Failed breakouts
Retests
Trend continuation setups
Customizable Display
Users can enable or disable support & resistance detection and adjust detection sensitivity according to their trading style.
Typical Use Cases
• Trend-following entries using EMA alignment
• Breakout trading
• Retest confirmation entries
• Scalping and intraday setups
• Swing trading trend confirmation
HeikenAshi Trend Lite [SolQuant]The HeikenAshi Trend Lite indicator displays double-smoothed Heikin-Ashi candles on the current timeframe as a trend overlay. By applying two passes of EMA smoothing to Heikin-Ashi calculations, it filters out market noise to reveal clean trend direction.
This is the free version of HeikenAshi Trend , providing the core double-smoothed HA trend visualization on a single timeframe without the multi-timeframe overlays available in the full version.
█ USAGE
Reading the Trend
The indicator draws a filled ribbon representing the smoothed Heikin-Ashi body. When the smoothed HA close is above the smoothed HA open, the ribbon is bullish. When below, it is bearish. The body uses a semi-transparent fill, while the wick range is drawn with a lighter shade, creating a layered visual.
Color changes represent confirmed trend shifts after double smoothing has absorbed enough price data. This filtering eliminates most false signals from choppy conditions.
█ DETAILS
The calculation follows three steps:
1 — EMA smoothing of raw OHLC values
2 — Heikin-Ashi transformation of the smoothed values
3 — Second EMA pass on the resulting HA values
This double-smoothing approach reduces noise effectively while maintaining less lag than equivalent single-pass smoothing with very long periods.
█ SETTINGS
• EMA Length: Period for the first EMA smoothing pass (default: 10).
• Smoothing Length: Period for the second EMA pass (default: 10).
• Bullish / Bearish Color: Customizable trend colors.
• Show Candles: Display traditional HA candle bodies alongside the ribbon.
This indicator uses synthetic Heikin-Ashi values that do not represent actual traded prices. It does not constitute financial advice. Past performance does not guarantee future results.
AI Market Assistant [FundedLab]AI Market Assistant – Your Institutional-Grade Co-Pilot
Do you know exactly where you stand in the market cycle? Most retail traders fail because they trade against the dominant trend.
I created the AI Market Assistant to solve this problem. It is a comprehensive dashboard that processes multi-timeframe data and Macroeconomics to provide a clear, objective market bias.
⚙️ Customizable Trend Logic:
The system adapts to your specific trading personality:
Fully Adjustable Timeframes: You are not limited to the default settings. You can freely select your preferred Lower Timeframe (LTF) and Higher Timeframe (HTF) in the settings to match your scalping or swing trading strategy.
Select "VWAP" for Intraday Precision : Ideal for catching moves that align with today’s institutional volume.
Select "EMA 200" for Swing Structure : Ideal for holding positions and riding the broader market wave.
🚀 Advanced Capabilities:
Macro Analysis Panel: Automatically analyzes the Dollar Index (DXY) and US10Y Yields to determine if the macro environment supports your trade (Bullish vs. Bearish Impact).
Multi-Language Support: Fully localized for 🇹🇭 🇬🇧 🇨🇳 🇰🇷.
Zero-Lag Decision Engine: Utilizing "Stable Mode" to ensure signals are confirmed on closed bars—eliminating false signals and repainting.
💡 Why You Need This Tool:
No More Noise: The AI filters out choppy markets (Sideways) and tells you to "WAIT" instead of forcing a trade.
Conflict Detection: It checks if the Short-term trend (LTF) agrees with the Long-term trend (HTF). If they disagree, it saves you from a bad trade.
Macro Safety: Real-time warnings based on DXY/Bond movements. Don't buy Gold if the DXY is skyrocketing—this tool warns you first.
Level up your trading desk with the same data the pros use.
Fixed Range Line + EMA Cross Signals with Targetsfixed range lines generate buy sell signal and also we can set targets
MAD RSIMAD RSI ~ by GForge
An adaptive trend-following indicator that combines RSI momentum with Median Absolute Deviation (MAD) volatility bands to identify trend direction, gauge regime strength, and generate entry/exit signals.
Core Concept
Most band-based indicators use Standard Deviation to measure volatility. The problem is that StdDev is highly sensitive to outlier candles — a single spike from news, earnings, or liquidation cascades can blow out the bands and distort signals. This indicator replaces StdDev with Median Absolute Deviation (MAD), a statistically robust volatility measure that resists outliers while still tracking genuine changes in market volatility. The result is more stable bands that better represent the true trading range.
RSI-Adaptive Mechanism
A smoothed RSI is calculated and used to dynamically scale the band width. The logic works as follows: when RSI is near 50 (neutral/indecisive), the bands stay at their base width. As RSI moves further from 50 in either direction — indicating stronger bullish or bearish momentum — the bands widen proportionally. This creates a self-adjusting system: during strong trends the bands expand to avoid premature exits, and during choppy consolidation they contract to keep signals responsive.
The RSI smoothing parameter applies an EMA on top of the raw RSI to control how quickly the adaptive multiplier responds. A low smoothing value makes the bands react quickly to momentum shifts. A higher value smooths out the adaptation, which can reduce whipsaws in noisy conditions.
Oscillator & Signal Logic
The indicator computes a Basis line (Simple Moving Average) and places the adaptive MAD bands above and below it. Price position within these bands is then normalized into an oscillator ranging from 0 to 100, where 0 means price is at the lower band, 50 means price is at the basis, and 100 means price is at the upper band.
Signals are generated when this oscillator crosses key thresholds:
A long signal fires when the oscillator crosses above the Long Threshold, indicating price has moved convincingly into the upper portion of the adaptive channel.
A short/exit signal fires when the oscillator crosses below the Short Threshold, indicating momentum has weakened and price is falling back within the channel.
The thresholds are independently configurable. For example, setting a Long Threshold of 80 means you require price to push well above the midpoint before entering, while a Short Threshold of 30 means you exit relatively early before price reaches neutral. This asymmetry can be tuned for different risk appetites — tighter thresholds produce more signals with smaller moves, wider thresholds produce fewer signals but filter out more noise.
Key Parameters
Source — the price input for all calculations. Close is standard, but hl2, hlc3, or ohlc4 can provide smoother behavior on volatile instruments.
RSI Length — controls the RSI lookback period. Longer values produce a smoother RSI that changes the adaptive multiplier gradually. Shorter values make it more reactive.
RSI Smoothing — additional EMA smoothing applied to the RSI before it feeds into the adaptive multiplier. Set to 1 for no extra smoothing.
Basis Length — the SMA period for the center line of the channel. This is the trend anchor. Longer values track slower trends, shorter values hug price more closely.
MAD Length — lookback for the Median Absolute Deviation calculation. Controls how many bars contribute to the volatility estimate. Longer values produce more stable bands, shorter values adapt faster.
Volatility Multiplier — the base scaling factor for band width before RSI adaptation is applied. Higher values widen the bands and reduce signal frequency. Lower values tighten them and increase signal frequency.
Visuals
A gradient cloud beneath price provides an at-a-glance read of trend regime and strength. Bar colors reflect the oscillator position. Signal markers appear as diamonds above and below bars.
Usage Notes
This is a tool to assist your analysis, not a standalone trading system. Always apply your own risk management and confirm signals with additional context.
Past performance does not guarantee future results.
Default settings are a starting point — optimize for your specific instrument, timeframe, and trading style.
The MAD calculation is particularly well-suited for instruments prone to sudden spikes or gap moves where Standard Deviation-based indicators tend to produce erratic signals.
Developed by GForge
S21 SETUP (EMA9/21 + RSI 14)This script is only intended for a specific set up or strategy develop by our trading group. Lightning Strategy Group T3 Sniper has its specific strategy that requires this indicator script.
CTR Dual Custom MAs ProI added the ability to show projection dots to help get a feel for future path. Everything else is the same as my most recent custom MAs indicator. This is the latest and greatest.
stelaraX - Moving Average MultistelaraX – Multi MA
stelaraX – Multi MA is a flexible moving average indicator that allows the use of up to four independently configurable moving averages on a single chart. Each moving average can be customized by type, length, source, color, and line width, making the indicator suitable for a wide range of trading styles and timeframes.
The indicator is designed to provide a clear overview of trend direction, dynamic support and resistance, and moving average interactions.
Core logic
The script supports multiple moving average calculation methods:
* Simple Moving Average (SMA)
* Exponential Moving Average (EMA)
* Weighted Moving Average (WMA)
* Hull Moving Average (HMA)
* Volume Weighted Moving Average (VWMA)
* Running Moving Average (RMA)
Each of the four moving averages can be enabled or disabled individually and calculated from any price source.
Crossover signals
The indicator can generate crossover signals between any two selected moving averages:
* bullish crossover when the fast MA crosses above the slow MA
* bearish crossover when the fast MA crosses below the slow MA
Crossover signals are displayed directly on the chart using directional markers and can be enabled or disabled as needed.
MA cloud
An optional moving average cloud can be displayed between two selected moving averages:
* bullish cloud when the faster MA is above the slower MA
* bearish cloud when the faster MA is below the slower MA
Cloud colors and transparency are fully customizable.
Visualization
The indicator plots up to four moving average lines directly on the chart.
Additional visual features include:
* optional MA crossover markers
* optional moving average cloud
* optional bar coloring based on price position relative to selected moving averages
Bar colors reflect basic trend conditions when price is above or below selected averages.
Alerts
Alert conditions are available for:
* bullish and bearish moving average crossovers
* price crossing above or below selected moving averages
* price crossing above or below the long-term moving average
Alerts trigger only on confirmed crossover conditions.
Use case
This indicator is intended for:
* trend identification and confirmation
* moving average crossover strategies
* dynamic support and resistance analysis
* multi-timeframe trend alignment
* general market structure visualization
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
