Spectral Order Flow Resonance (SOFR) Spectral Order Flow Resonance (SOFR)
See the Market’s Hidden Rhythms—Trade the Resonance, Not the Noise!
The Spectral Order Flow Resonance (SOFR) is a next-generation tool for traders who want to go beyond price and volume, tapping into the underlying “frequency signature” of order flow itself. Instead of chasing lagging signals or reacting to surface-level volatility, SOFR lets you visualize and quantify the real-time resonance of market activity—helping you spot when the crowd is in sync, and when the regime is about to shift.
What Makes SOFR Unique?
Not Just Another Oscillator:
SOFR doesn’t just measure momentum or volume. It applies spectral analysis (using Fast Fourier Transform) to normalized order flow, extracting the dominant cycles and their resonance strength. This reveals when the market is harmonizing around key frequencies—often the precursor to major moves.
Regime Detection, Not Guesswork:
By tracking harmonic alignment and phase coherence across multiple Fibonacci-based frequencies, SOFR identifies when the market is entering a bullish, bearish, or neutral resonance regime. This is visualized with a dynamic dashboard and info line, so you always know the current state at a glance.
Dynamic Dashboard:
The on-chart dashboard color-codes each key metric—regime, dominant frequency, harmonic alignment, phase coherence, and energy concentration—so you can instantly gauge the strength and direction of the current resonance. No more guesswork or clutter.
Universal Application:
Works on any asset, any timeframe, and in any market—futures, stocks, crypto, forex. If there’s order flow, SOFR can reveal its hidden structure.
How Does It Work?
Order Flow Normalization:
SOFR calculates the net buying/selling pressure and normalizes it using a rolling mean and standard deviation, making the signal robust across assets and timeframes.
Spectral Analysis:
The script applies FFT to the normalized order flow, extracting the magnitude and phase of several key frequencies (typically Fibonacci numbers). This allows you to see which cycles are currently dominating the market.
Resonance & Regime Logic:
When multiple frequencies align and exceed a dynamic resonance threshold, and phase coherence is high, SOFR detects a “resonance regime”—bullish, bearish, or neutral. This is when the market is most likely to experience a strong, sustained move.
Visual Clarity:
The indicator plots each frequency’s magnitude, highlights the dominant one, and provides a real-time dashboard with color-coded metrics for instant decision-making.
SOFR Dashboard Metrics Explained
Regime:
What it means: The current “state” of the market as detected by SOFR—Bullish, Bearish, or Neutral.
Why it matters: The regime tells you whether the market’s order flow is resonating in a way that favors upward moves (Bullish), downward moves (Bearish), or is out of sync (Neutral). This helps you align your trades with the prevailing market force, or stand aside when there’s no clear edge.
Dominant Freq:
What it means: The most powerful frequency (cycle length, in bars) currently detected in the order flow.
Why it matters: Markets often move in cycles. The dominant frequency shows which cycle is currently driving price action, helping you time entries and exits with the market’s “heartbeat.”
Harmonic Align:
What it means: The number of key frequencies (out of 3) that are currently in resonance (above threshold).
Why it matters: When multiple frequencies align, it signals that different groups of traders (with different time horizons) are acting in concert. This increases the probability of a strong, sustained move.
Phase Coh.:
What it means: A measure (0–100%) of how “in sync” the phases of the key frequencies are.
Why it matters: High phase coherence means the market’s cycles are reinforcing each other, not cancelling out. This is a classic signature of trending or explosive moves.
Energy Conc.:
What it means: The concentration of spectral energy in the dominant frequency, relative to the average.
Why it matters: High energy concentration means the market’s activity is focused in one cycle, increasing the odds of a decisive move. Low concentration means the market is scattered and less predictable.
How to Use
Bullish Regime:
When the dashboard shows a green regime and high harmonic alignment, the market is in a bullish resonance—look for long opportunities or trend continuations.
Bearish Regime:
When the regime is red and alignment is high, the market is in a bearish resonance—look for short opportunities or trend continuations.
Neutral Regime:
When the regime is gray or alignment is low, the market is out of sync—consider waiting for clearer signals or using other tools.
Combine with Your Strategy:
Use SOFR as a confirmation tool, a filter for trend/range conditions, or as a standalone regime detector. The dashboard’s color-coded metrics help you instantly spot when the market is entering or exiting resonance.
Inputs Explained
FFT Window Length :
Controls the number of bars used for spectral analysis. Higher values smooth the signal, lower values make it more sensitive.
Order Flow Period:
Sets the lookback for normalizing order flow. Shorter periods react faster, longer periods are smoother.
Fibonacci Frequencies:
Choose which cycles to analyze. Default values (5, 8, 13) capture common market rhythms.
Resonance Threshold:
Sets how strong a frequency’s signal must be to count as “in resonance.” Lower for more signals, higher for stricter filtering.
Signal Smoothing & Amplify:
Fine-tune the display for your chart and asset.
Dashboard & Info Line Toggles:
Show or hide the on-chart dashboard and info line as needed.
Why This Matters
Most indicators show you what just happened. SOFR shows you when the market is entering a state of resonance—when crowd behavior is most likely to produce powerful, sustained moves. By visualizing the hidden structure of order flow, you gain a tactical edge over traders who only see the surface.
For educational purposes only. Not financial advice. Always use proper risk management.
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
Bands and Channels
SCCThis script combines Trendlines, Vector Candles and EMAs with specific alerts for when Vectors and the 50EMA cross.
🔥 Master Reversal Indicator v3A high-confidence trend reversal detector that combines multiple professional-grade indicators to produce buy/sell signals, confidence scoring, and visual cues — designed for serious traders on TradingView
Scalping RSI Mejorado (1m y 5m con ATR y EMA)Actualizacion de Indicador de compra y Venta Con temporalidad De 1min & 5Min
-Julio- Mr Everything
Divinearrow-tttypical Video Content Summary (Taylor Trading Technique)
Introduction: George D. Taylor’s Approach
Developed in the 1950s.
Based on the idea that market movements are cyclical.
3-Day Cycle Breakdown
Buy Day: Formation of a low → Look for long positions.
Sell Day: Close long positions → Usually a sideways move.
Sell Short Day: Reversal from highs → Opportunity for short positions.
Examples with Candlestick Charts
The characteristics of each day are illustrated using candlestick patterns.
RSI, MACD, and other auxiliary indicators are often included.
Integrating the Strategy with Current Market Data
TTT signals + trend confirmation tools.
Support-resistance levels and volume analysis are integrated.
Risk Management
Target and stop loss levels.
Position sizing and risk control.
Optimized Range Filter StrategyOptimized Range Filter Strategy Analysis
This is a Pine Script strategy that implements a range filter trading system with several optimization features. Here's a breakdown of its components:
Key Features
Range Filter Calculation:
Uses SMA and standard deviation to create upper/lower bands
Configurable length (14 by default) and multiplier (2.0 by default)
Trend Detection:
Identifies uptrend when price crosses above upper band
Identifies downtrend when price crosses below lower band
Position Management:
Offers both fixed take profit/stop loss and trailing stop options
Uses ATR (Average True Range) for dynamic position sizing
Configurable TP/SL multipliers (1.5/1.0 by default)
Visualization:
Plots the range filter bands (upper/lower/smooth line)
Shows TP/SL levels when in position (for fixed exits)
Optimization Parameters
The strategy provides several inputs for optimization:
Range filter length (5-50)
Range filter multiplier (0.5-3)
ATR length (5-20)
TP/SL multipliers (0.5-3)
Trailing stop options (on/off with configurable offset)
Range Filter Strategy with ATR TP/SLHow This Strategy Works:
Range Filter:
Calculates a smoothed average (SMA) of price
Creates upper and lower bands based on standard deviation
When price crosses above upper band, it signals a potential uptrend
When price crosses below lower band, it signals a potential downtrend
ATR-Based Risk Management:
Uses Average True Range (ATR) to set dynamic take profit and stop loss levels
Take profit is set at entry price + (ATR × multiplier) for long positions
Stop loss is set at entry price - (ATR × multiplier) for long positions
The opposite applies for short positions
Input Parameters:
Adjustable range filter length and multiplier
Customizable ATR length and TP/SL multipliers
All parameters can be optimized in TradingView's strategy tester
You can adjust the input parameters to fit your trading style and the specific market you're trading. The ATR-based exits help adapt to current market volatility.
SMA_Max Strategy//@version=6
strategy('SMA_Max Strategy', overlay = true)
// === INPUTS ===
useTrendFilter = input.bool(true, title = 'Use Trend Filter (SMA 200)')
useVolumeFilter = input.bool(false, title = 'Use Volume Filter (volume > SMA of volume)')
// === MOVING AVERAGES ===
shortSMA = ta.sma(close, 20)
longSMA = ta.sma(close, 50)
trendSMA = ta.sma(close, 200)
// === VOLUME FILTER ===
volumeSMA = ta.sma(volume, 20)
volumeFilter = volume > volumeSMA
// === TREND CONDITIONS ===
trendUp = close > trendSMA
trendDown = close < trendSMA
allowBuy = (not useTrendFilter or trendUp) and (not useVolumeFilter or volumeFilter)
allowSell = (not useTrendFilter or trendDown) and (not useVolumeFilter or volumeFilter)
// === CROSS DETECTION (SMA20/SMA50) ===
crossAbove = ta.crossover(shortSMA, longSMA)
crossBelow = ta.crossunder(shortSMA, longSMA)
smaMid = (shortSMA + longSMA) / 2
// === CANDLE CONFIRM FOR SMA20/SMA50 ===
buyConfirm = shortSMA > longSMA and close > smaMid and allowBuy
sellConfirm = shortSMA < longSMA and close < smaMid and allowSell
buySignal = crossAbove and buyConfirm
sellSignal = crossBelow and sellConfirm
// === SMA20/SMA200 CONFIRMATION ===
crossAbove200 = ta.crossover(shortSMA, trendSMA)
crossBelow200 = ta.crossunder(shortSMA, trendSMA)
buyConfirm200 = crossAbove200 and close > trendSMA
sellConfirm200 = crossBelow200 and close < trendSMA
// === EXIT CONDITIONS ===
closeBuyCondition = shortSMA < longSMA or useTrendFilter and not trendUp
closeSellCondition = shortSMA > longSMA or useTrendFilter and not trendDown
// === STRATEGY ENTRIES ===
if buySignal
strategy.entry('Buy', strategy.long)
if closeBuyCondition
strategy.close('Buy')
if sellSignal
strategy.entry('Sell', strategy.short)
if closeSellCondition
strategy.close('Sell')
// === PLOTS ===
plot(shortSMA, color = color.green, title = 'SMA 20')
plot(longSMA, color = color.red, title = 'SMA 50')
plot(trendSMA, color = color.gray, title = 'SMA 200')
// === SIGNAL ARROWS ===
plotshape(buySignal, title = 'Buy Marker', location = location.belowbar, color = color.green, style = shape.labelup, text = 'Buy', size = size.small)
plotshape(sellSignal, title = 'Sell Marker', location = location.abovebar, color = color.red, style = shape.labeldown, text = 'Sell', size = size.small)
plotshape(buyConfirm200, title = 'Buy SMA200', location = location.belowbar, color = color.lime, style = shape.triangleup, text = 'Buy200', size = size.small)
plotshape(sellConfirm200, title = 'Sell SMA200', location = location.abovebar, color = color.orange, style = shape.triangledown, text = 'Sell200', size = size.small)
// === ALERTS ===
alertcondition(buySignal, title = 'Buy Alert', message = 'Buy Confirmed: Price broke above SMA crossover zone')
alertcondition(sellSignal, title = 'Sell Alert', message = 'Sell Confirmed: Price broke below SMA crossover zone')
alertcondition(buyConfirm200, title = 'Buy SMA200 Alert', message = 'SMA20 crossed above SMA200 and candle closed above')
alertcondition(sellConfirm200, title = 'Sell SMA200 Alert', message = 'SMA20 crossed below SMA200 and candle closed below')
Breakout Strategy Pro [Dubic] - Long OnlyConvert this to a scalping version for 5-minute charts?
Build a dashboard table or draw entry/exit levels on chart?
Let me know what you'd like next!
Boltzmann Weighted MA (Smoothed, HFT Enhanced)AI enhanced version of the strat very simple
fuck you and ur shit right now god dammit its 2 am
Dual Bollinger BandsIndicator Name:
Double Bollinger Bands (2-9 & 2-20)
Description:
This indicator plots two sets of Bollinger Bands on a single chart for enhanced volatility and trend analysis:
Fast Bands (2-9 Length) – Voilet
More responsive to short-term price movements.
Useful for spotting quick reversals or scalping opportunities.
Slow Bands (2-20 Length) – Black
Smoother, trend-following bands for longer-term context.
Helps confirm broader market direction.
Both bands use the standard settings (2 deviations, SMA basis) for consistency. The transparent fills improve visual clarity while keeping the chart uncluttered.
Use Cases:
Trend Confirmation: When both bands expand together, it signals strong momentum.
Squeeze Alerts: A tight overlap suggests low volatility before potential breakouts.
Multi-Timeframe Analysis: Compare short-term vs. long-term volatility in one view.
How to Adjust:
Modify lengths (2-9 and 2-20) in the settings.
Change colors or transparency as needed.
Why Use This Script?
No Repainting – Uses standard Pine Script functions for reliability.
Customizable – Easy to tweak for different trading styles.
Clear Visuals – Color-coded bands with background fills for better readability.
Ideal For:
Swing traders, day traders, and volatility scalpers.
Combining short-term and long-term Bollinger Band strategies.
ETH/USDT Scalping: BB + VWAP + AO FilterJustin ETH scalping strategy that uses Bolinger bands, Awesome oscilator and some other indicators.
How to Use:
Load this on ETH/USDT, preferably on the 15m chart.
Use the Strategy Tester in TradingView to see results.
Create alerts from the Long Entry Alert and Short Entry Alert.
What’s New
✅ AO Filter ensures trades align with momentum.
✅ Keeps VWAP, BB, and Volume for context and entries.
✅ Retains daily trade limit, alerts, and TP/SL management.
Fast Lane, Slow Lane (Dem)Fast Lane, Slow Lane script based on Barbara Star's trading style.
Simple trend advisor where green indicates the fast lane and red indicates the slow lane.
When the candles enter the green lane you know you have decent upwards momentum and as you fall below into the blank area you know momentum is fading and vice versa.
Green Bullish momentum, Red Bearish momentum.
Multi-Session ORBThe Multi-Session ORB Indicator is a customizable Pine Script (version 6) tool designed for TradingView to plot Opening Range Breakout (ORB) levels across four major trading sessions: Sydney, Tokyo, London, and New York. It allows traders to define specific ORB durations and session times in Central Daylight Time (CDT), making it adaptable to various trading strategies.
Key Features:
1. Customizable ORB Duration: Users can set the ORB duration (default: 15 minutes) via the inputMax parameter, determining the time window for calculating the high and low of each session’s opening range.
2. Flexible Session Times: The indicator supports user-defined session and ORB times for:
◦ Sydney: Default ORB (17:00–17:15 CDT), Session (17:00–01:00 CDT)
◦ Tokyo: Default ORB (19:00–19:15 CDT), Session (19:00–04:00 CDT)
◦ London: Default ORB (02:00–02:15 CDT), Session (02:00–11:00 CDT)
◦ New York: Default ORB (08:30–08:45 CDT), Session (08:30–16:00 CDT)
3. Session-Specific ORB Levels: For each session, the indicator calculates and tracks the high and low prices during the specified ORB period. These levels are updated dynamically if new highs or lows occur within the ORB timeframe.
4. Visual Representation:
◦ ORB high and low lines are plotted only during their respective session times, ensuring clarity.
◦ Each session’s lines are color-coded for easy identification:
▪ Sydney: Light Yellow (high), Dark Yellow (low)
▪ Tokyo: Light Pink (high), Dark Pink (low)
▪ London: Light Blue (high), Dark Blue (low)
▪ New York: Light Purple (high), Dark Purple (low)
◦ Lines are drawn with a linewidth of 2 and disappear when the session ends or if the timeframe is not intraday (or exceeds the ORB duration).
5. Intraday Compatibility: The indicator is optimized for intraday timeframes (e.g., 1-minute to 15-minute charts) and only displays when the chart’s timeframe multiplier is less than or equal to the ORB duration.
How It Works:
• Session Detection: The script uses the time() function to check if the current bar falls within the user-defined ORB or session time windows, accounting for all days of the week.
• ORB Logic: At the start of each session’s ORB period, the script initializes the high and low based on the first bar’s prices. It then updates these levels if subsequent bars within the ORB period exceed the current high or fall below the current low.
• Plotting: ORB levels are plotted as horizontal lines during the respective session, with visibility controlled to avoid clutter outside session times or on incompatible timeframes.
Use Case:
Traders can use this indicator to identify key breakout levels for each trading session, facilitating strategies based on price action around the opening range. The flexibility to adjust ORB and session times makes it suitable for various markets (e.g., forex, stocks, or futures) and time zones.
Limitations:
• The indicator is designed for intraday timeframes and may not display on higher timeframes (e.g., daily or weekly) or if the timeframe multiplier exceeds the ORB duration.
• Time inputs are in CDT, requiring users to adjust for their local timezone or market requirements.
• If you need to use this for GC/CL/SPY/QQQ you have to adjust the times by one hour.
This indicator is ideal for traders focusing on session-based breakout strategies, offering clear visualization and customization for global market sessions.
Quarter ICT Theo TradeQuarter ICT | Theo Trade
The "Multi-Level Yearly Divisions" indicator is a visual tool designed for TradingView charts. Its primary purpose is to help traders and analysts visualize and analyze price action within a structured, hierarchical breakdown of the year. It divides each year into progressively smaller, equal time segments, allowing for detailed observation of how markets behave during specific portions of the year, quarters, and even finer sub-divisions.
Yearly Detection: It first identifies the start of each new year on the chart.
Four Levels of Division:
Level 0: Marks the beginning of the year with a distinct line.
Level 1 (Quarters): Divides the entire year into four equal parts (quarters).
Level 2: Each quarter is then further divided into four equal smaller segments.
Level 3: Each of these Level 2 segments is again divided into four equal parts.
Level 4: Finally, each Level 3 segment is divided into four more equal parts.
Dinamik Trend (EMA Ribbon)Dynamic Trend Identification (EMA Ribbon)
This script plots 20, 50, 100 and 200 period EMAs on the price chart and changes the color of the 20 EMA according to its slope.
Breakout Strategy Pro [Dubic] - Short OnlyConvert this to a scalping version for 5-minute charts?
Build a dashboard table or draw entry/exit levels on chart?
Let me know what you'd like next!
Nadaraya + UT Bot Combo//@version=5
indicator("Nadaraya + UT Bot Combo", overlay=true)
// ======= Nadaraya-Watson Estimator =======
src = close
length = input.int(20, "Nada Length", minval=1)
bandWidth = input.float(0.01, "Bandwidth", minval=0.001)
float sumWeights = 0.0
float sumValues = 0.0
for i = 0 to length
w = math.exp(-math.pow(i * bandWidth, 2))
sumWeights := sumWeights + w
sumValues := sumValues + src * w
nada = sumValues / sumWeights
plot(nada, color=color.orange, title="Nadaraya-Watson Line")
// ======= UT Bot Logic =======
factor = input.float(1.0, "UTBot Sensitivity")
atrPeriod = input.int(10, "ATR Period")
atr = ta.atr(atrPeriod)
longSignal = ta.crossover(close, ta.ema(close, 10) - factor * atr)
shortSignal = ta.crossunder(close, ta.ema(close, 10) + factor * atr)
// ======= Kết hợp tín hiệu =======
buySignal = longSignal and close > nada
sellSignal = shortSignal and close < nada
plotshape(buySignal, title="Buy Signal", location=location.belowbar, style=shape.labelup, color=color.green, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL")
// ======= Alerts =======
alertcondition(buySignal, title="Alert Buy", message="Buy Signal - Nada + UTBot")
alertcondition(sellSignal, title="Alert Sell", message="Sell Signal - Nada + UTBot")
Multi-EnvelopeRMA Multi-Envelope Indicator
The RMA Multi-Envelope Indicator is a technical analysis tool designed for TradingView, utilizing Pine Script v6. It creates eight customizable envelope bands around a 200-period Running Moving Average (RMA) on a 5-minute timeframe, based on current market measurements. Each band has independent upper and lower percentage deviations, preset to: Band 1 (0.42%, 0.46%), Band 2 (0.78%, 0.69%), Band 3 (1.01%, 1.03%), Band 4 (1.36%, 1.39%), Band 5 (1.80%, 1.62%), Band 6 (2.15%, 2.13%), Band 7 (2.93%, 2.81%), and Band 8 (4.65%, 4.18%). Users can adjust the timeframe, moving average type (RMA, SMA, or EMA), length, and colors for the basis line and bands via hex codes (e.g., #FF6D00 for the basis and Band 8) with semi-transparent color.rgb fills. Ideal for identifying support/resistance, overbought/oversold conditions, or trend boundaries on a 5-minute chart.
Fibonacci Bollinger BandsFibonacci Bollinger Bands (FBB)
A VWMA-based, Fibonacci-scaled volatility overlay
Overview
Fibonacci Bollinger Bands blends a Volume-Weighted Moving Average (VWMA) with standard-deviation bands placed at key Fibonacci ratios. Instead of the traditional ±1 σ, ±2 σ, this indicator plots upper and lower envelopes at 0.236, 0.382, 0.5, 0.618, 0.764 and ±1.000 × σ—giving you a clearer view of dynamic support, resistance, and mean-reversion zones within a single, elegant overlay.
Key Features
VWMA Basis: Smooths price by weighting volume, keeping your bands responsive to big trades.
Fibonacci-Scaled Bands: 7 upper/lower envelopes at 0.236, 0.382, 0.5, 0.618, 0.764, 1.000 σ.
Customizable Inputs:
Length: lookback for VWMA & σ (default 200)
Source: hlc3, close, etc.
StdDev Multiplier: overall volatility scaling (default 3.0)
Clean Styling:
Colored basis line (magenta)
Highlighted outer bands (red/green)
Lighter inner bands (white)
Non-Repainting: All levels calculate on bar close.
Left-Axis Scaling: Bands live on their own axis so your candles stay full-height.
How to Use
Trend Identification
Price hugging the inner 0.236–0.382 bands ⇒ strong trend.
Bounces off 0.618–0.764 ⇒ pullback within trend.
Mean Reversion
Moves to the outer ±1.0 band often reverse toward the VWMA basis.
Breakouts & Breakdowns
Sustained closes beyond the ±1.0 band signal momentum exhaustion or acceleration.
Combine with Other Tools
Overlay with price action, volume, or your favorite oscillators for confluence.
Inputs & Customization
Length: VWMA & StdDev lookback
Source: Price field for basis calculation
StdDev Multiplier: Width of bands (e.g. 2.0, 3.0)
Toggle Inner Bands: Show/hide mids (0.236–0.764)
Thank you for using FBB!
AI-Driven Multi-Factor StrategyYour **AI-Driven Multi-Factor Trading Strategy** is designed to **identify high-probability trades** using a combination of **momentum, trend strength, and volatility analysis**. It incorporates several **key indicators** to provide accurate buy and sell signals.
### **Key Features of This Strategy**
#### **1. Trend Identification**
✔ Uses **Exponential Moving Averages (EMA 10 & EMA 50)** to determine market direction.
✔ A **bullish crossover** (EMA 10 above EMA 50) signals a buy opportunity.
✔ A **bearish crossunder** (EMA 10 below EMA 50) suggests a sell signal.
#### **2. Momentum Confirmation**
✔ **Relative Strength Index (RSI)** ensures trades align with momentum.
✔ Buy signals occur when **RSI is above 50**, indicating strength.
✔ Sell signals trigger when **RSI drops below 50**, confirming weakness.
#### **3. MACD for Trend Strength**
✔ **MACD Line vs. Signal Line** crossover ensures momentum confirmation.
✔ **Positive MACD** signals bullish strength, while **negative MACD** confirms bearish trend.
#### **4. Volatility Analysis with Bollinger Bands**
✔ **Price near Bollinger Lower Band** suggests a potential buy.
✔ **Price near Bollinger Upper Band** warns of possible reversals.
✔ Bollinger Bands help identify breakout zones.
#### **5. Institutional Activity via VWAP**
✔ **VWAP (Volume Weighted Average Price)** ensures price action aligns with institutional buying/selling patterns.
✔ **Buy above VWAP** indicates strong demand.
✔ **Sell below VWAP** signals market weakness.
#### **6. AI-Driven Signal Scoring**
✔ The script calculates an **AI Score** using weighted factors:
- **30% RSI impact** (momentum strength)
- **40% MACD impact** (trend confirmation)
- **30% VWAP impact** (institutional activity)
✔ **AI Score > 0** confirms a buy setup.
✔ **AI Score < 0** signals bearish conditions.
### **Trade Execution Rules**
✔ **Entry Conditions** – Buy when EMA crossover aligns with a strong AI Score.
✔ **Exit Conditions** – Sell when trend strength reverses.
✔ **Stop Loss (0.5%) & Take Profit (1.5%)** – Manages risk efficiently.
### **Benefits of This Strategy**
✅ Uses **multiple confirmation layers** for stronger trade signals.
✅ Combines **trend, momentum, volatility, and institutional activity** for precision.
✅ Works well for **scalping, swing trading, and long-term investments**.
Breakout Strategy Pro [Dubic] - Short OnlyWould you like me to:
Add webhook alerts for both scripts?
Export these for use in TradingView’s automation (e.g., 3Commas, WunderTrading)?
Create backtest results or performance tables?
Let me know how you plan to deploy the bots!