GK Trend Ribbon SWING + PREPARE HUDGK Trend Ribbon SWIGN+ PREPARE HUD
This is the swing trading version of GK Trend Ribbon system.
it works with the core logic and structure as its predecessors,
but is tuned for a smoother, longer trend phases and reduced noise, making it more suitable for holding trades through broader market moves
The ribbon adapts to volatility using ATR-based bands, wile the zero-lag bassline tracks real trend direction.
The visual prepare alerts gives a early heads up before confirmed GK BUY or GK SELL signals,
helping traders get positioned before momentum fully shifts
CREATOR'S preferred timeframes for XAUUSD
15MIN CHART
30MIN CHART
also works on other assets
designed for structure trend based swing execution-patience, discipline and letting the ribbon lead
แบนด์และแชนแนล
Renko Cloud (H-Ashi Data)First, thanks to the author of the original idea - pl.tradingview.com and his indicator
The idea behind my idea is to smooth the chart as much as possible...
This script is a trend-following indicator that combines Heikin Ashi price data, Renko box logic, and ALMA (Arnaud Legoux Moving Average) smoothing to filter out market noise.
A small note at the beginning - the indicator on Japanese candles and Heiken Ashi is the same - figuratively - the calculations from Heiken Ashi are projected onto regular candles ;)
PS - The default settings are proposed for BTC/USD on the 1D interval
Here is a breakdown of what the script does:
1. Data Pre-processing (Heikin Ashi)
Instead of using standard price bars, the script fetches Heikin Ashi data. Heikin Ashi candles are already a filtering mechanism designed to reduce "sawtooth" price action and make trends easier to spot. The script specifically uses the average of the Heikin Ashi Open and Close as its main price source.
2. Dual ALMA Moving Averages
The script plots two ALMA lines on the chart:
Medium (Aggressive): A faster moving average used to detect short-term trend shifts.
Long: A slower moving average used to identify the macro trend.
Visuals: These lines change color (e.g., Green for up, Red for down) based on their slope.
3. "Synthetic" Renko Logic
Standard Renko charts discard the time axis, but this script calculates Renko logic on top of a standard time-based chart.
Brick Size Calculation: You can choose how the "brick" size is determined:
ATR: Dynamically adjusts based on volatility (using an ALMA-smoothed ATR).
Percent: Based on a percentage of the price.
Static: A fixed point/pip value.
Trend Tracking: The script only updates its "current" price level when the source price moves by at least one full "brick size." This effectively ignores minor price fluctuations that don't meet the threshold.
4. Dynamic Ribbon & Visualization
The script visualizes the trend through a "Ribbon" or "Channel":
Renko Center: The smoothed path of the Renko levels.
Bands: It plots an Upper and Lower band (one brick size away from the center).
Color Gradients: The space between the bands is filled with color. It turns Green when the Renko direction is Up and Red when the Renko direction is Down.
Barcolor: It automatically changes the color of your price bars to match the detected trend.
Summary of Use Case
This indicator is designed for trend traders who want to stay in a position as long as the momentum is strong and exit only when a significant reversal occurs. By combining Heikin Ashi and Renko logic, it aims to eliminate "fakeouts" and keep the trader focused on the primary market direction.
Happy hunting for profits!
MarketStructureLab - Swing Reversion Zones (FREE)Swing Reversion Zones is an indicator designed to analyze price reversions to market structure after impulsive moves.
The indicator builds a smoothed structural baseline and a dynamic deviation range, highlighting areas where price statistically tends to slow down, react, or retrace.
What it shows
• Zones of potential overbought and oversold conditions
• Areas where price reverts back to structure
• Context for pullback-based entries rather than entries in the middle of a move
How to use
• Trading swing movements within an existing trend
• Identifying price reactions near the range boundaries
• Confirming long and short setups in combination with market structure
Features
• Adaptive smoothing without reliance on static levels
• Works across all markets and timeframes
Important
This indicator is not a signal system and does not make predictions.
It highlights reaction and reversion zones relative to market structure. Trade decisions remain the trader’s responsibility.
Designed for traders who focus on structure, context, and market reaction.
Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities.
Core Logic
The indicator is based on two complementary components:
• Supertrend defines the primary market regime (bullish or bearish)
• Keltner Channels define volatility expansion and contraction
Signals are only generated when both trend direction and volatility breakout agree.
Signal Conditions
A Buy signal is triggered when:
• Supertrend flips bullish
• Price breaks above the upper Keltner Channel
A Sell signal is triggered when:
• Supertrend flips bearish
• Price breaks below the lower Keltner Channel
If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency.
Visual Structure
The indicator uses a clear visual hierarchy:
• Bar coloring reinforces directional bias
• Supertrend acts as the main directional spine
• Keltner Channels provide volatility context
• Buy and Sell labels mark execution points
All visual elements can be enabled or disabled from the Visual Settings panel.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
SACHIN_WITH_SLgears for setting signals use it
lllllllllllllllllllllllllllllllllllllllllllllllllhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
ALMA SD Bands | RakoQuantALMA SD Bands | RakoQuant is a volatility-regime band system built from first principles using an institutional smoothing framework: an ALMA baseline combined with ALMA-smoothed standard deviation width, designed for clean trend containment and controlled regime classification.
This tool is part of the RakoQuant protected research line, focusing on minimal noise, persistent state logic, and volatility-aware market structure rather than traditional reactive Bollinger-style band behavior.
Core Concept
This indicator answers one key structural question:
Is price operating inside a stable volatility regime, or transitioning into a new directional band expansion phase?
Unlike classical deviation band systems that fluctuate aggressively candle-to-candle, ALMA SD Bands introduce:
* Ultra-smooth baseline structure
* Smoothed volatility width
* Persistent directional regime logic
* Deadband-based flip stabilization
The result is a clean institutional containment model rather than noisy retail band plotting.
How It Works
1. ALMA Baseline (Institutional Mean Structure)
The centerline of the system is computed using:
Arnaud Legoux Moving Average (ALMA)
ALMA provides:
* Reduced lag compared to EMA
* Superior smoothness compared to SMA
* Stable regime structure across crypto volatility
This baseline acts as the equilibrium axis of the band system.
2. Standard Deviation Volatility Width (Smoothed)
Band width is driven by volatility, measured through standard deviation, with two selectable modes:
* Price Standard Deviation
* Return Standard Deviation (log-return volatility)
Rather than using raw deviation directly, volatility is passed through a second ALMA smoothing layer:
Smoothed Volatility = ALMA(StdDev)
This eliminates the jitter and band shaking that defines most Bollinger-type systems.
3. Adaptive Containment Bands
Final bands are constructed as:
* Upper Band = ALMA Basis + Multiplier × Smoothed Volatility
* Lower Band = ALMA Basis − Multiplier × Smoothed Volatility
Unlike traditional ±2σ envelopes, the multiplier is intentionally adjustable and tuned for regime containment rather than extreme tagging.
4. Deadband Regime Engine (Persistent State Logic)
A defining feature of this protected release is its regime persistence model.
Instead of flipping trend bias instantly, the script applies a volatility-scaled deadband buffer:
* Bull regime activates only above Basis + Deadband
* Bear regime activates only below Basis − Deadband
This removes micro-flips and produces a true structural regime state:
* Bullish containment (green)
* Bearish containment (red)
* Neutral transition zone suppression
Regime state persists until a confirmed boundary transition occurs.
Visual Engine
ALMA SD Bands follows the RakoQuant minimal institutional plotting standard:
* Active volatility bands only
* Smooth containment fill
* Optional candle painting by regime bias
* Ultra-clean overlays suitable for confluence stacking
This indicator is designed as a structural layer, not a clutter generator.
How To Use
✅ Volatility containment framework
✅ Trend regime bias overlay
✅ Expansion / contraction classifier
✅ Portfolio directional filter (RSPS compatible)
Recommended workflow:
* Trade long only during bullish regime containment
* Defensive during bearish containment
* Watch for regime flips as volatility transition events
* Combine with momentum triggers for execution
Best environments:
* 4H–1D swing trend structure
* Volatility breakout classification
* Institutional band containment systems
Screenshot Placement
📸 Example chart / screenshot:
All in One Trend Indicator by Nicks**Multi-Factor Confluence Suite (7-in-1 Overlay)**
### **Description:**
**Overview**
This script is a comprehensive workspace optimizer designed to combine 7 essential trading tools into a single, efficient overlay. By merging trend analysis, market structure, liquidity zones, and momentum signals, this tool allows traders to bypass the standard indicator limit and view high-probability confluence setups without a cluttered chart.
**Key Features & Functionality**
* **Trend Filtering (Hull Suite):**
* A lag-reduced moving average system that visualizes the macro trend.
* Includes candle coloring options to easily identify trend alignment.
* **Market Structure (SMC):**
* Automatically maps Break of Structure (BOS) and Change of Character (CHoCH).
* Identifies Order Blocks and Fair Value Gaps (FVG) for potential entry/exit zones.
* **Liquidity Analysis:**
* **Swings:** Highlights key swing highs and lows where stop losses typically reside.
* **Grabs:** Specifically detects "stop hunts" where price wicks liquidity before reversing (Bubbles visualization).
* **Momentum Signals (UT Bot & MACD):**
* **UT Bot:** Provides high-sensitivity Buy/Sell labels based on ATR trailing stops.
* **MACD Overlay:** Plots signal crossovers directly on the price chart (arrows) to identify momentum shifts without occupying a separate oscillator pane.
* **Session Timing:**
* Visualizes major trading sessions (NY, London, Tokyo, Sydney) with an optional dashboard table.
**How to Use**
This suite is designed for "Confluence Trading."
1. **Identify Trend:** Use the Hull Suite color to determine the directional bias.
2. **Find Structure:** Wait for price to react at an SMC Order Block or Liquidity Zone.
3. **Confirm Entry:** Look for a UT Bot label or MACD Arrow in the direction of the trend.
**Settings**
Each module is separated by headers in the settings menu. You can toggle specific indicators on/off to suit your trading style and keep the chart clean.
**Credits & Attribution**
This script is a compilation of open-source logic from the TradingView community, adapted and updated to Pine Script v5/v6 for compatibility. Special thanks to the original authors for their foundational work:
* *InSilico* (Hull Logic)
* *LuxAlgo* (SMC & Liquidity Swings Logic)
* *Flux Charts* (Liquidity Grabs Logic)
* *QuantNomad* (UT Bot Logic)
* *TraderHariKrishna* (Session Logic)
**License**
This source code is subject to the terms of the Mozilla Public License 2.0 and/or Creative Commons (CC BY-NC-SA 4.0) where applicable by the original authors. This script is intended for educational and personal use.
---
Adaptive Kinetic Ribbon [QuantAlgo]🟢 Overview
The Adaptive Kinetic Ribbon indicator synthesizes price velocity and volatility dynamics to identify trend direction, momentum strength, and acceleration phases across varying market conditions. It combines velocity-based momentum measurement, adaptive volatility weighting, dual-speed ribbon analysis, and acceleration-deceleration detection into a unified visual system that quantifies periods of sustained directional movement and momentum shifts, helping traders and investors identify trend continuation and reversal signals across various timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its adaptive kinetic approach, where velocity and volatility components are calculated dynamically and then smoothed through an adaptive alpha mechanism.
First, Velocity is measured to capture raw directional momentum by calculating the net price change over the lookback period:
velocity = source - source
This creates a momentum vector that quantifies how far and in which direction price has moved, providing the foundation for understanding trend strength and establishing whether the market is in a sustained directional phase.
Then, Volatility is computed to evaluate price variability and market noise by analyzing the standard deviation of bar-to-bar price changes:
volatility = ta.stdev(source - source , length) * mult
The volatility sensitivity multiplier allows traders to adjust how responsive the indicator is to market noise, with higher values creating faster adaptation during volatile periods and lower values maintaining stability during choppy conditions.
Next, Adaptive Alpha is calculated to create a dynamic smoothing coefficient that automatically adjusts based on the relationship between velocity and volatility:
adaptive_alpha = math.abs(velocity) / (math.abs(velocity) + volatility)
This alpha value ranges from 0 to 1, where values closer to 1 indicate strong, clear directional movement (high velocity relative to volatility), causing the indicator to respond quickly, while values closer to 0 indicate noisy, range-bound conditions (high volatility relative to velocity), causing the indicator to smooth more heavily and filter out false signals.
Following this, the Kinetic Line is constructed using exponential smoothing with the adaptive alpha coefficient:
var float kinetic_line = na
kinetic_line := na(kinetic_line ) ? source : kinetic_line + adaptive_alpha * (source - kinetic_line )
This creates an adaptive moving average that automatically adjusts its responsiveness: during strong trends with clear velocity, it tracks price closely like a fast EMA; during choppy, volatile periods, it smooths heavily like a slow SMA, providing optimal trend identification across varying market regimes without manual parameter adjustment.
Then, Ribbon Lines are generated by applying additional moving average smoothing to the kinetic line at two different speeds:
ribbon_fast = ma(kinetic_line, ribbon_fast_length, ma_type)
ribbon_slow = ma(kinetic_line, ribbon_slow_length, ma_type)
The dual-ribbon structure creates a visual envelope around the kinetic line, where the fast ribbon responds quickly to kinetic changes while the slow ribbon provides trend confirmation, with crossovers between these ribbons generating primary trend reversal signals.
Finally, Trend State and Acceleration are determined by analyzing the relative positioning and directional movement of the ribbon lines:
trend_up = ribbon_fast > ribbon_slow
acceleration = ribbon_fast > ribbon_fast
ribbonColor = trend_up ?
acceleration ? bullAccel : bullDecel :
not acceleration ? bearAccel : bearDecel
This creates a four-state classification system that distinguishes between bullish acceleration (uptrend strengthening), bullish deceleration (uptrend weakening), bearish acceleration (downtrend strengthening), and bearish deceleration (downtrend weakening), providing traders with nuanced momentum insights beyond simple bullish/bearish binary signals.
🟢 Signal Interpretation
▶ Bullish Acceleration (Bright Green): Fast ribbon above slow ribbon AND fast ribbon rising, indicating confirmed uptrend with building momentum = Strongest bullish condition, ideal for new long entries, adding to positions, or holding existing longs with confidence
▶ Bullish Deceleration (Dark Green): Fast ribbon above slow ribbon BUT fast ribbon falling, indicating uptrend intact but momentum weakening = Caution signal for longs, potential trend exhaustion developing, consider tightening stops or taking partial profits
▶ Bearish Acceleration (Bright Red): Fast ribbon below slow ribbon AND fast ribbon falling, indicating confirmed downtrend with building momentum = Strongest bearish condition, ideal for new short entries, exiting longs, or maintaining defensive positioning
▶ Bearish Deceleration (Dark Red): Fast ribbon below slow ribbon BUT fast ribbon rising, indicating downtrend intact but momentum weakening = Caution signal for shorts, potential trend exhaustion developing, prepare for possible reversal or consolidation
▶ Bullish Crossover: Fast ribbon crosses above slow ribbon, signaling trend reversal from bearish to bullish and initiation of new upward momentum phase = Primary buy signal, entry opportunity for trend-following strategies, exit signal for short positions
▶ Bearish Crossover: Fast ribbon crosses below slow ribbon, signaling trend reversal from bullish to bearish and initiation of new downward momentum phase = Primary sell signal, entry opportunity for short strategies, exit signal for long positions
▶ Ribbon Spread Width: Distance between fast and slow ribbons indicates trend strength and conviction, where wider spreads suggest strong, sustained directional movement with low reversal probability, while tight or converging ribbons indicate weak trends, consolidation, or impending reversal conditions
▶ Bar Color Alignment: When bar coloring is enabled, candlestick colors mirror the ribbon state providing immediate visual confirmation of momentum conditions directly on price action, eliminating the need to reference the indicator separately and enabling faster decision-making during active trading
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches: "Default" provides balanced trend identification suitable for swing trading on 4-hour and daily charts, "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 5-minute to 1-hour charts, and "Smooth Trend" offers conservative trend identification ideal for position trading and long-term analysis on daily to weekly charts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend reversals and momentum transitions. "Bullish Crossover" triggers when the fast ribbon crosses above the slow ribbon, signaling the shift from downtrend to uptrend and the beginning of bullish momentum building. "Bearish Crossover" activates when the fast ribbon crosses below the slow ribbon, signaling the shift from uptrend to downtrend and the beginning of bearish momentum building. "Any Ribbon Crossover" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general trend reversal monitoring and ensuring no momentum shift goes unnoticed.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of acceleration versus deceleration states across various devices and screen sizes. Each preset uses distinct colors for the four momentum states (bullish acceleration, bullish deceleration, bearish acceleration, bearish deceleration) with proper visual hierarchy. Optional bar coloring with adjustable transparency provides instant visual context of current momentum state and trend direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess trend positioning and acceleration dynamics while analyzing price action patterns and support/resistance levels.
RSI Futures Trading SystemRSI Futures Trading System
RSI Futures Trading System is a clean, continuous RSI engine built specifically for futures markets (ES, NQ, YM, RTY, CL, GC, Crypto).
The indicator uses an adaptive RSI/Signal pair to color candles, mark RSI state flips with subtle arrows, and print actionable LONG/SHORT labels only when price confirms above or below the last directional arrow. Labels always take priority over arrows to keep the chart clean and readable.
Important:
Your results depend heavily on selecting the right RSI Length, Signal Length, and smoothing methods for your instrument and timeframe. Futures structure changes throughout the day, and using inappropriate RSI settings will produce noisy or misleading labels. Backtesting and tuning these values is essential for stable, high‑quality signals.
Optional overlays include Bollinger Bands and two EMAs for additional context.
This tool is designed for traders who want a disciplined, minimal, and continuous RSI workflow without the clutter or resets found in equity‑based systems.
Other Important Notes:
This is not a strategy; it does not place trades automatically.
All signals are visual and intended for discretionary or rule‑based manual execution.
Always backrest and validate signals on your preferred futures instrument and timeframe.
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.
SSL Channel with SignalsSSL cross with arrow signaling. Crossover, triangle shape. Signaling longs and shorts.
Session Liquidity Trading PlanAmateurs trade on emotion. Professionals trade with a plan.
The Session Liquidity Trading Plan is a professional pre-trade checklist designed to help traders approach the market with structure, discipline, and consistency.
This tool acts as a decision-support panel, allowing you to manually confirm key liquidity-based conditions before executing a trade. Each confirmed condition contributes to a weighted trade score, giving you an instant view of setup quality.
Instead of chasing the market, this panel encourages patience and rule-based execution — two traits consistently found among profitable traders.
🔑 Key Features
• Clean top-right trading panel
• Manual confirmation checklist for maximum flexibility
• Weighted Trade Score (0–100) for setup grading
• Built for liquidity-based and session-focused traders
• Promotes disciplined, high-quality trade selection
• Works across all instruments and timeframes
📊 Checklist Includes:
✔ Asia High/Low Sweep
✔ 5/15 Minute Market Shift
✔ OTE Retracement
✔ Targeting Buy/Sell Side Liquidity
When all conditions align, traders gain confidence in the strength of their setup.
Impulse OTE Fibonacci & Trend Catcher V2------------IMPORTANT------------
Look at the first 3 options in the input settings. You can change these based on what your trading - crypto, NQ, Forex etc. There are tool tips with the recommended settings there as well.
------------What the trader is supposed to do------------
Wait for an UP or DOWN arrow (trend shift).
Let the indicator lock an impulse and draw the fibs.
When price pulls into OTE, it prints READY.
When confirmation happens, it prints ENTRY.
------------Why it’s useful------------
It’s meant to stop you from:
taking random fibs from random swings,
trading weak/noisy moves,
or entering too early without confirmation.
Instead it forces a simple flow:
Trend → Impulse → Pullback to OTE → Confirmed entry
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.
SMC Structure + HTF Levels + VolatilityDescription: This script is a comprehensive "Smart Money Concepts" (SMC) toolkit designed to filter out market noise and focus only on the Major Market Structure. It combines structural analysis, multi-timeframe key levels, and volatility tracking into a single chart overlay.
Unlike standard fractal indicators that clutter the chart with every minor pivot, this script uses a "Retroactive" logic system to only mark significant Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH) that confirm a trend break.
Key Features
1. Major Structure Mapping (Retroactive Logic)
The Problem: Standard indicators often mark a "Lower High" too early, only for price to continue higher.
The Solution: This script waits for a Major Low to be broken (confirmed break of structure) before identifying the peak that caused it. It then "looks back" and retroactively labels that peak as the valid Lower High (LH).
Result: You get a clean chart that shows only the true structural legs of the trend, filtering out internal sub-swings and fake-outs.
2. Multi-Timeframe (MTF) Steplines
Automatically plots the previous highs and lows from higher timeframes:
PDH / PDL: Previous Day High & Low (Blue)
PWH / PWL: Previous Week High & Low (Orange)
PMH / PML: Previous Month High & Low (Purple)
These act as major magnet levels for price targets or reversal zones.
3. Volatility Regimes (Expansion vs. Consolidation)
Uses Bollinger Band Width to analyze market energy.
Green Background (Expansion): Volatility is above average. The market is moving fast (breakout or trend).
Gray Background (Consolidation): Volatility is below average. The market is squeezing, indicating a potential big move is building up.
How to Use It
Trend Following: Look for price to form a HL (Higher Low) in an uptrend. Wait for the background to turn Gray (Consolidation), then enter when it turns Green (Expansion) as price breaks upward.
Reversals: Watch for price to hit a PWH (Previous Week High). If a LH (Lower High) label appears shortly after, it confirms the reversal is valid.
Stop Placement: Use the most recent HL or LH labels as safe zones for stop-loss placement, as these represent protected structural points.
Settings
Swing Length: Adjusts how sensitive the structure detection is (Default: 5). Increase this number to see even longer-term structure.
Colors: Fully customizable colors for Bullish/Bearish structure, HTF lines, and Volatility zones.
Show/Hide: You can toggle off any element (like the Monthly levels or Volatility background) to keep your chart clean.
Quantum Mean Reversion Oscillator[Pineify]Quantum Mean Reversion Oscillator - Statistical Z-Score Based Trading Signals
The Quantum Mean Reversion Oscillator (QMR) is a statistically-driven momentum indicator designed to identify high-probability mean reversion opportunities in any market. Built on the foundation of Z-score analysis, this oscillator measures how far price has deviated from its statistical mean, expressed in standard deviations. When price stretches too far from equilibrium, it tends to snap back—this indicator captures those precise moments.
Key Features
Z-Score based oscillator measuring price deviation from dynamic mean
Adaptive EMA-based mean calculation for responsive trend detection
Customizable standard deviation multiplier for volatility adjustment
Built-in smoothing to filter market noise and reduce false signals
Visual gradient glow effect showing momentum intensity
Clear overbought/oversold threshold levels at +2.0 and -2.0
Automatic buy and sell signal generation on mean reversion events
Pre-configured alert conditions for automated trading workflows
How It Works
The indicator employs a three-step calculation process rooted in statistical analysis:
Dynamic Mean Calculation: Rather than using a simple moving average, the oscillator uses an Exponential Moving Average (EMA) as the basis. This makes the mean more responsive to recent price action while still maintaining statistical validity.
Z-Score Computation: The core of this indicator is the Z-score formula: (Price - Mean) / Standard Deviation. This transforms raw price data into a normalized scale where values represent how many standard deviations price has moved from its mean. A reading of +2.0 means price is two standard deviations above average—a statistically significant extreme.
Noise Reduction: The raw Z-score is smoothed using a Simple Moving Average to eliminate whipsaws and provide cleaner, more actionable signals.
Trading Ideas and Insights
Mean reversion is one of the most fundamental concepts in quantitative trading. Markets tend to oscillate around fair value, and extreme deviations often precede reversals. The QMR Oscillator quantifies this behavior:
When the oscillator exceeds +2.0, price is statistically overbought—approximately 95% of price action occurs below this level under normal distribution
When the oscillator drops below -2.0, price is statistically oversold—a zone where buying pressure typically emerges
The crossback signals (crossing back inside from extremes) indicate the reversion has begun, providing entry timing
This approach works particularly well in ranging markets and can identify exhaustion points in trending markets where pullbacks are likely.
How Multiple Indicators Work Together
The QMR Oscillator integrates three complementary statistical concepts into a unified framework:
EMA for Mean: Provides a responsive baseline that adapts to changing market conditions faster than traditional SMA, ensuring the "fair value" reference point stays relevant.
Standard Deviation for Volatility: Automatically adjusts the oscillator's sensitivity based on current market volatility. During high volatility, larger price moves are required to reach extreme readings, preventing false signals.
SMA Smoothing: Applied as a final filter to remove noise without introducing significant lag, balancing responsiveness with reliability.
These three components work synergistically—the EMA tracks the trend, standard deviation normalizes for volatility, and smoothing ensures signal quality.
Unique Aspects
Statistical Foundation: Unlike arbitrary oscillator boundaries, the +/-2.0 levels have statistical meaning—representing approximately 2 standard deviations from the mean
Visual Gradient System: The glow effect intensifies as price moves further from equilibrium, providing intuitive visual feedback on momentum strength
Adaptive Sensitivity: The deviation multiplier allows traders to adjust how extreme price must move before triggering signals, accommodating different trading styles and market conditions
How to Use
Add the indicator to your chart and observe the oscillator's position relative to the zero line and threshold levels
Look for buy signals (B markers) when the oscillator crosses back above -2.0 from oversold territory
Look for sell signals (S markers) when the oscillator crosses back below +2.0 from overbought territory
Use the gradient glow intensity to gauge momentum strength—brighter colors indicate more extreme conditions
Set up alerts using the built-in alert conditions for automated notifications
Customization
Mean Lookback (default: 20): Controls the EMA period for mean calculation. Shorter periods increase sensitivity; longer periods provide smoother readings
Deviation Multiplier (default: 2.0): Adjusts how many standard deviations define the bands. Higher values require more extreme moves for signals
Smoothing (default: 3): Controls noise filtering. Increase for smoother signals in choppy markets
Bullish/Bearish Glow Colors: Customize the visual appearance to match your chart theme
Show Reversion Signals: Toggle buy/sell markers on or off
Conclusion
The Quantum Mean Reversion Oscillator provides traders with a statistically rigorous tool for identifying mean reversion opportunities. By combining Z-score analysis with adaptive volatility measurement and intelligent smoothing, it offers a systematic approach to finding high-probability reversal points. Whether used as a standalone indicator or as confirmation for other analysis methods, the QMR Oscillator brings quantitative precision to mean reversion trading strategies.
GOD MODE SCALPER | 5M SMART FUNDGOD MODE SCALPER | 5M SMART FUND
อินดิเคเตอร์ Scalping ระดับมืออาชีพ ออกแบบมาเฉพาะสำหรับ Timeframe 5 นาที (5M)
เหมาะกับพอร์ตขนาดเล็ก ($100–$300) ที่ต้องการความแม่นยำ + คุมความเสี่ยงแบบ Smart Fund
🔹 แนวคิดหลักของระบบ
เทรดตามเทรนด์จริง (Trend Following ไม่สวนมั่ว)
เข้าเร็ว ออกเร็ว แต่ไม่ไล่ราคา
เน้นคุณภาพสัญญาณ มากกว่าปริมาณไม้
🔹 โครงสร้างกลยุทธ์
✅ Zero-Lag Trend Filter
ใช้ HMA 200 + EMA 50 เพื่อยืนยันทิศทางเทรนด์หลักและเทรนด์เร็ว
✅ Smart Breakout Structure
เข้าออเดอร์เมื่อราคาทะลุ High/Low โครงสร้างล่าสุด (Pivot Break)
✅ ADX Filter
เทรดเฉพาะตลาดที่มีแรงจริง ตัด Sideway ออก
✅ RSI Protection
ป้องกันการ Buy สูง / Sell ต่ำ ลด Fake Signal
✅ Candle Strength Check
เน้นแท่งที่มีแรงจริง ไม่เข้าแท่งไส้ยาวหลอกตา
🔹 Risk & Money Management (หัวใจของระบบ)
คำนวณ Position Size อัตโนมัติจาก:
เงินทุน (Account Balance)
% ความเสี่ยงต่อไม้ (แนะนำ 1–2%)
ตั้ง Stop Loss ด้วย ATR (Dynamic ตาม Volatility)
Take Profit อิง Risk : Reward ที่ผู้ใช้กำหนด (แนะนำ 1:1.5 – 1:2 สำหรับ TF5m)
แสดง Size ที่ “ควรเล่น” ต่อไม้แบบชัดเจนบนกราฟ
🔹 ฟีเจอร์เสริม
แสดง TP / SL Zone บนกราฟแบบ Visual
Dashboard สรุปสถานะ:
Trend ปัจจุบัน
ค่า ADX
Win Rate
Risk ต่อไม้
มี Alert สำหรับ Buy / Sell พร้อม Size
🔹 เหมาะกับใคร
Scalper / Day Trader TF 5 นาที
ผู้เริ่มต้นพอร์ตเล็กที่อยากเทรดแบบมีระบบ
คนที่ต้องการ “คิดแบบกองทุน” แต่เทรดด้วยตัวเอง
⚠️ หมายเหตุ
อินดิเคเตอร์นี้เป็นเครื่องมือช่วยตัดสินใจ ไม่ใช่ระบบอัตโนมัติ 100%
แนะนำใช้ร่วมกับการจัดการอารมณ์และวินัยในการเทรด
GOD MODE SCALPER | 5M SMART FUND
Professional Smart Scalping Indicator for 5-Minute Trading
Designed specifically for small accounts ($100–$300) with institutional-style risk control
🔹 Core Concept
GOD MODE SCALPER is built around one idea:
trade less, trade smarter, and protect capital first.
This script focuses on high-probability 5-minute scalping setups, filtering out noise, fake breakouts, and low-quality market conditions.
🔹 Strategy Logic
✅ Zero-Lag Trend Confirmation
Uses HMA 200 + EMA 50 to confirm both macro and micro trend alignment
✅ Smart Structure Breakout
Entries trigger only when price breaks recent pivot high / low
✅ ADX Strength Filter
Trades only when the market has real momentum (avoids sideways traps)
✅ RSI Protection Filter
Prevents chasing price (No Buy at the top / No Sell at the bottom)
✅ Candle Strength Validation
Confirms momentum using candle body vs range ratio
🔹 Risk & Money Management (Smart Fund Style)
📊 Automatic Position Size Calculation
Based on account balance
Risk per trade (%)
🛑 Dynamic Stop Loss (ATR-Based)
🎯 Configurable Risk : Reward Ratio
(Recommended 1:1.5 – 1:2 for 5M scalping)
Displays recommended trade size directly on chart
🔹 Visual & Dashboard Features
📦 TP / SL zones clearly drawn on chart
🎨 Trend-colored candles (optional)
📈 Live dashboard showing:
Current trend state
ADX strength
Win rate
Risk per trade
🔔 Buy / Sell alerts with position size
🔹 Best For
Scalpers & Day Traders on 5-Minute Timeframe
Small account traders who need strict risk control
Traders who want institutional logic without automation
⚠️ Disclaimer
This indicator is a decision-support tool, not an auto-trading system.
Always combine with proper risk management and trading discipline.
Retail Stop-Loss PredictorThe Psychology of Retail Stop-Loss Placement
The "Safe" Buffer Trap
Retail traders are taught to find a recent high or low and place their stop "just a few pips away" to avoid being wicked out.
The Reality: Institutions know exactly where these "buffers" are. They look for clusters of these orders to create the volume they need to fill their large positions.
The Indicator Solution: The SL Predictor automatically calculates these clusters by identifying "Pivots" and applying a Buffer Offset to show the actual zone where the "pain" is felt.
2. Detailed Description of the SL Predictor
A. Multi-Timeframe (MTF) Anchoring
The indicator doesn't just look at your current chart. It "anchors" zones from Higher Timeframes (HTF) like the 4-Hour or Daily.
Why it matters: A stop-loss cluster on a 1-minute chart is a "speed bump." A stop-loss cluster on a Daily chart is a Liquidity Ocean.
Visuals: These zones are drawn as shaded boxes that stay locked to the candle index, ensuring they don't move or repaint when you scroll.
B. Round Number "Magnet" Logic
Retailers have a psychological bias toward Round Numbers (e.g., $100.00, $1.2500).
The Feature: The script identifies these psychological levels and marks them as secondary stop-loss zones. Institutions often "front-run" these levels or sweep them entirely to trigger mass liquidations.
C. Mitigation & Clearing
Once price enters a predicted stop-loss zone, the indicator changes the color to gray or removes the label.
What this means: The "Fuel" has been used. The stops have been triggered. The market has found the liquidity it was looking for and is now ready to reverse or move to the next "pool."
3. Best Use Case: The "Liquidity Hunt" Strategy
Step 1: Identify "Engineered" Liquidity
Look for Equal Highs (Double Tops) or Equal Lows (Double Bottoms). Retailers see these as "Strong Resistance/Support" and pile their stops behind them.
The Indicator: Will highlight these areas with a Red (Short Stops) or Green (Long Stops) shaded box.
Step 2: Wait for the "Stop Run"
Do not enter a trade when price is inside the zone. Wait for price to pierce the zone and then show a sign of rejection (like a long wick).
Institutional Secret: This is the moment the "Smart Money" has finished buying from the retail sellers or selling to the retail buyers.
Step 3: Execution (The "Reverse" Entry)
Once the "Probable Stop" label disappears or the zone turns gray:
Short Entry: If price swept a Red Zone and closed back below it.
Long Entry: If price swept a Green Zone and closed back above it.
Target: The Opposite stop-loss zone. You are trading from one pool of retail "fuel" to the next.
Anh Nga 6.0 Split (Dynamic + MACD + PC)The script **Anh Nga 6.0 Split** is a professional-grade TradingView strategy designed for high-precision trading (specifically optimized for Gold/XAUUSD). It combines trend-following, momentum oscillators, and multi-timeframe analysis with a built-in automation bridge for **PineConnector** (MT4/MT5).
Here is a breakdown of how the strategy works for users.
---
## 1. Core Logic: How it Triggers
The strategy uses a "filter-first" approach, meaning it only looks for trades when multiple conditions align:
* **Primary Signal:** Uses the **Wave Trend (WT)** oscillator. It looks for "Gold Crosses" (long) or "Death Crosses" (short) when momentum is at extreme levels.
* **Trend Filter:** A dual Moving Average system (Fast 70 / Slow 140). It only buys if the price is above both and sells if below both.
* **MACD MTF Filter:** A "Big Brother" check. It looks at the MACD histogram on the **15-minute** and **30-minute** timeframes to ensure you aren't trading against the higher-timeframe momentum.
* **Overextension Guard:** It calculates the distance from the Fast MA using **ATR**. If the price has "run too far" from the average, it skips the trade to avoid buying the top or selling the bottom.
---
## 2. The "Split" Execution (Advanced Sizing)
The strategy classifies trades into two quality tiers based on **Bollinger Band Zones**:
| Trade Type | Condition | Position Size |
| --- | --- | --- |
| **AAA Zone** | Price is close to the Basis (Mean) | **100%** of your base lot |
| **B Zone** | Price is slightly stretched | **80%** of your base lot |
**Automated Partial Exits:**
When a trade is entered, it splits the position into two orders:
1. **Partial Runner (65%):** Aimed at a closer "TP1" to lock in profits early.
2. **Final Runner (35%):** Aimed at the full Risk:Reward target.
* **Break-Even Logic:** Once the first target is hit, the script automatically sends a command to move the Stop Loss to the entry price (BE).
---
## 3. Risk Management & Guards
* **Reversal Guard:** Prevents "revenge trading" by enforcing a cooldown period (default 5 bars) after an exit before you can trade in the opposite direction.
* **Dynamic Stop Loss:** Uses a **Bollinger Band Multiplier (1.7x)** to place stops outside of immediate market noise.
* **Max SL Filter:** If the market is too volatile and the calculated Stop Loss is larger than your "Max SL Dollars" (e.g., $35), the strategy will skip the trade entirely.
---
## 4. PineConnector Automation
The script is pre-configured to talk to MetaTrader 4/5 via **PineConnector**.
* It generates formatted alert messages containing your **License ID**, **Magic Number**, and **Volume**.
* It handles `buy`, `sell`, `modify` (for Break-Even), and `closeall` commands automatically.
### Visual Guide
* **Teal Line:** Fast Moving Average ().
* **White Line:** Slow Moving Average ().
* **Green/Red Zones:** Visual "AAA" and "B" zones for entry quality.
* **Red/Green Lines:** Active Stop Loss and Take Profit levels currently being tracked.
---
Institutional Liquidity MapInstitutional Liquidity Map: Detailed Description
The Core Phi losophy: Mapping vs. Predicting
This indicator serves as a Microstructure Navigation System. Unlike retail indicators that rely on lagged mathematical formulas (like RSI or MACD), this tool identifies the areas of high-interest where institutional orders are clustered. It focuses on the mechanics of liquidity provision and rebalancing, allowing you to see where the "Smart Money" has left a footprint.
Key Modules & Institutional Meaning
Confirmed Liquidity (BSL & SSL): These are the structural anchors. They represent "Liquidity Pools" where retail stop-losses are heavily concentrated. Institutions drive price into these zones to generate the counter-party volume needed to fill their large positions.
Institutional Order Blocks (OB): This module identifies the exact candle where accumulation or distribution occurred. It specifically looks for displacement—a move so fast and strong that it confirms institutional intent rather than retail noise.
Fair Value Gaps (FVG) / Imbalances: When price moves too rapidly, it creates a "hole" in the price action where orders weren't fully matched. The market views these as inefficiencies; price is naturally drawn back to these zones to "rebalance" before continuing the trend.
Liquidity Sweeps (Stop Runs): This identifies the "Trap." It marks instances where price wicks past a confirmed high or low to trigger stops, only to close back within the range. This is often the precursor to a massive reversal.
Best Use Case Scenarios
1. The High-Probability "Confluence Cluster"
The most powerful way to use this indicator is by looking for the overlapping of modules.
The Scenario: You see a BSL Sweep occur at a Previous Day High, immediately followed by a Bearish Order Block and a Bearish FVG.
The Strategy : Use the FVG/OB zone as your "Sell Zone." This cluster indicates that institutions have trapped buyers at the high and are now aggressively pushing price lower.
2. Re-entry via "FVG Rebalancing"
When the market is in a strong trend (like your LINK screenshot), price often leaves gaps.
The Scenario: A strong impulsive move breaks structure, leaving an active FVG box.
The Strategy: Do not chase the candle. Wait for the indicator to show price returning to fill that box. This retest of the imbalance is often the safest entry point for trend continuation.
3. Target Selection using "Liquidity Pools"
Retail traders often set arbitrary take-profit targets (e.g., 2%). Institutional traders target Liquidity.
The Scenario: You are in a Short trade.
The Strategy: Look for the nearest Confirmed SSL (Sell-Side Liquidity) line. This is your target. Price is magnetically drawn to these levels because that is where the most sell-stops are located, providing the liquidity for you to exit your short (by buying back) with minimal slippage.
4. Daily Bias Anchor (Session VWAP)
Use the Session VWAP as your "Line in the Sand."
The Strategy: If price is above VWAP, only look for Bullish Order Blocks and SSL Sweeps. If price is below VWAP, prioritize Bearish Order Blocks and BSL Sweeps. This ensures you are always trading in alignment with the institutional "Fair Value" for the day.
Predator UAV🛩️ Predator UAV — Indicator Overview
Predator UAV is a multi-module market structure & execution assistant.
Think of it as 4 sensors on a drone, each scanning a different layer of price:
Module What it Sees Why it Matters
Module 1 Swing Structure (ZigZag) Trend direction & key levels
Module 2 FVGs, Imbalances, Targets, D/W/M levels Liquidity & objectives
Module 3 Swing Labels + Candle Patterns Entry timing & confirmation
Module 4 VWAP + Slope Dashboard Intraday bias & strength
You can turn any module ON/OFF independently.
🧩 MODULE 1 — ZigZag Swing High / Low (Market Structure)
What it does
Detects Swing Highs (HH / LH) and Swing Lows (HL / LL)
Draws:
Horizontal structure levels
ZigZag connections
Broken vs respected levels
Shows current swing direction in a mini table
How to use it
Bullish structure → higher lows forming
Bearish structure → lower highs forming
Best used for:
Bias filtering
Stop placement
Avoiding counter-trend trades
💡 Pro tip:
If price breaks a swing level and holds → structure shift confirmed.
🧱 MODULE 2 — FVGs, Imbalances, Targets & HTF Levels (Liquidity Engine)
This is the core execution intelligence.
A️⃣ Fair Value Gaps (FVGs)
Bullish FVG → price inefficiency below price
Bearish FVG → inefficiency above price
Options:
Extend none / limited / default
Limit number on chart
Show midpoint equilibrium
Usage
Price returning into FVG = high-probability reaction zone
Best entries = FVG + structure + VWAP bias
B️⃣ Imbalances
Based on strong displacement candles
Shows where price moved too fast
Usage
Often aligns with:
Breakouts
Stop runs
Momentum continuation
C️⃣ Swing Targets
Automatically marks next logical target
Swing Highs for longs
Swing Lows for shorts
Usage
Use as:
Take-profit zones
Partial exits
Trail stop reference
D️⃣ Previous Day / Week / Month Highs & Lows
Institutional liquidity magnets
Extremely effective on indices & forex
Usage
Expect:
Rejections
Stop hunts
Reversals near these levels
🔍 MODULE 3 — Swing Labels + Candle Patterns (Entry Timing)
This module answers: WHEN to enter?
Swing Labels
HH / HL / LH / LL printed directly on chart
Candle Patterns Detected
Hammer
Inverted Hammer
Bullish Engulfing
Bearish Engulfing
Hanging Man
Shooting Star
Each label includes:
Pattern name
Tooltip explanation (educational)
Usage
Never trade patterns alone
Best when combined with:
FVG
VWAP
Structure level
📐 MODULE 4 — VWAP with Slope Dashboard (Bias & Strength)
This is your intraday compass.
What it shows
Session VWAP
VWAP slope (numeric + angle)
Direction:
↗ Bullish
↘ Bearish
→ Neutral
Strength:
Weak
Moderate
Strong
How to read it
Above VWAP + positive slope → long bias
Below VWAP + negative slope → short bias
Flat slope → scalp only or wait
💡 Pro tip:
Strong VWAP slope + FVG pullback = A-grade setup.
🎯 COMPLETE TRADING TUTORIAL (Step-by-Step)
Step 1 — Determine Bias
Use Module 1 + Module 4
Structure bullish?
VWAP slope bullish?
✅ If aligned → look for longs
❌ If mixed → reduce size or wait
Step 2 — Identify POI (Point of Interest)
Use Module 2
Bullish:
Bullish FVG
Prior swing low
VWAP pullback
Bearish:
Bearish FVG
Prior swing high
VWAP rejection
Step 3 — Wait for Entry Confirmation
Use Module 3
Look for:
Engulfing
Hammer / Shooting star
Swing HL / LH confirmation
Step 4 — Define Targets
Use Next Target
Or Previous Day / Week Highs
Partial TP near first liquidity pool
Step 5 — Risk Management
SL beyond:
FVG boundary
Swing high/low
Trail using:
VWAP
Structure breaks
🧠 Best Timeframes
Purpose TF
Bias 15m / 30m
Setup 5m
Entry 1m–3m
Scalping VWAP + FVG only
⚠️ Common Mistakes to Avoid
❌ Trading every FVG
❌ Ignoring VWAP slope
❌ Counter-trend without confirmation
❌ Overloading chart (turn unused modules off)
🚀 Final Thought
Predator UAV is not a signal generator.
It’s a decision-support system — when multiple modules align, probability shifts in your favor.
Smooth MTF EMA Cloud - ProEma cloud that has multiple time frames and is smoothed. No choppy outlines on the ema resolution between different time frames.
