Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
Penunjuk dan strategi
ROAD200K Wickrange BarLaa umnuh laanii wick dotor haagdval
wick nii range ni uuruu sonirholiin bus bolj huvirdag
Gold ATR/VOLThis Strategy is not for you it shows Gold how the prices reacts to the ATR and RSI and EMI 20 / 50
ORB + SMA 20/50 Crossover BUY/SELL by Yuvaraj Veppampattu Plots ORB High & Low lines for the first X minutes.
Adds SMA 20 & SMA 50 lines on chart.
Shows BUY arrow when SMA20 crosses ABOVE SMA50.
Shows SELL arrow when SMA20 crosses BELOW SMA50.
Adds alerts for both ORB breakouts & SMA crossovers.
ORB + SMA + EMA + BUY/SELL by yuvaraj ORB (Opening Range Breakout)
Meaning:
ORB stands for Opening Range Breakout.
It is a trading strategy where you watch the price movement for the first few minutes after the market opens (for example, 9:15 – 9:30 AM in India).
You mark the high and low during this period.
If price goes above the high, it signals a possible buy (long trade).
If price goes below the low, it signals a possible sell (short trade).
Why traders use it:
First few minutes decide the market direction.
Helps catch early momentum trades.
Very popular for intraday traders (Nifty, BankNifty, Crude Oil, etc.).
Example:
Market opens at 9:15.
First 5 minutes: High = 100, Low = 95.
If price moves above 100 → Buy.
If price moves below 95 → Sell.
📌 SMA (Simple Moving Average)
Meaning:
SMA stands for Simple Moving Average.
It is the average closing price of a stock over a certain number of candles.
Example:
SMA 9 → Average price of last 9 candles.
SMA 50 → Average price of last 50 candles.
Why traders use it:
Shows trend direction.
SMA going up → Uptrend, SMA going down → Downtrend.
You can use multiple SMAs (for example SMA 9 and SMA 50):
If SMA 9 crosses above SMA 50 → Buy signal.
If SMA 9 crosses below SMA 50 → Sell signal.
🔑 Key Difference:
Feature ORB SMA
Type Strategy (price breakout) Indicator (average price)
Use Entry trigger for trades Identifies trend direction
Works Best Intraday (first minutes) Any timeframe (intraday or swing)
Plots ORB High/Low lines for the first few minutes
Plots SMA 9/50/180 & EMA 20
Plots trailing stopline + Buy/Sell arrows
Optional bar color / background color toggle
Alert conditions for Buy/Sell
ORB high/low lines
SMA 9/50/180 + EMA 20
Buy/Sell arrows + trailing stopline
Consecutive Candles Box with MidpointHelps to identify consecutive candle closes for potential ranges.
Volume Weighted Average AZ++Volume Weighted Average original script plus:
* anchor from a specific date and time in the past
* anchor from a specific numbers of bars back
Volume Weighted Average AZ++Volume Weighted Average modified to:
* add a custom starting date and time
* add a custom period back in bars, to anchor vWAP
Levels, EMS, Volume etc.This is a comprehensive trading indicator that combines three main analysis tools:
EMA System — a set of 12 exponential moving averages with color trend indication.
Consolidation — detects and highlights price accumulation zones with breakout alerts.
S/R Levels — identifies key support and resistance levels across different timeframes, shows their strength, and displays them in a table.
Additionally, it includes a volume histogram and a notification system for important chart events. All these features help traders analyze trends and identify potential entry and exit points.
Это комплексный торговый индикатор, который объединяет три основных инструмента анализа:
EMA-система — набор из 12 экспоненциальных скользящих средних с цветовой индикацией тренда.
Консолидация — определяет и выделяет зоны накопления цены с оповещениями о пробоях.
Уровни S/R — находит ключевые уровни поддержки и сопротивления на разных таймфреймах, показывает их силу и выводит в таблицу.
Дополнительно включает гистограмму объёмов и систему уведомлений о важных событиях на графике. Всё это помогает трейдерам анализировать тренды, определять потенциальные точки входа и выхода.
Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
This dashboard is designed to solve two common problems for traders: chart clutter and the manual drawing of support and resistance levels . It consolidates critical data from multiple indicators into a clean table overlay and automatically plots the most relevant S&R levels based on recent price action. The primary goal is to provide a clear, at-a-glance overview of the market's structure and data.
It offers both a vertical and horizontal layout to fit any trader's workspace.
Key Concepts & Calculations Explained
This indicator is more than a simple collection of values; it synthesizes data to provide unique insights. Here’s a conceptual look at how its core components work:
Automatic Support & Resistance (Pivot-Based):
The dashed support (green) and resistance (red) lines are not manually drawn. They are dynamically calculated based on the most recent confirmed pivot highs and pivot lows . A pivot is a foundational concept in technical analysis that identifies potential turning points in price action.
How it works: A pivot high is a candle whose `high` is higher than a specific number of candles to its left and right (the "Pivot Lookback" is set to 5 by default in the settings). A pivot low is the inverse. By automatically identifying these confirmed structural points, the script visualizes the most relevant levels of potential supply and demand on the chart.
Relative Volume (RVOL):
This value in the table is not the standard volume. It measures the current bar's volume against its recent average (specifically, `current volume / 10-period simple moving average of volume`).
Interpretation: A reading above 2.0 (indicated by green text) suggests that the current volume is more than double the recent average. This technique is used to identify significant volume spikes, which can add conviction to breakouts or signal potential market climaxes.
Consolidated Data for Context:
Other values displayed in the table, such as the EMAs (9, 20, 200) , Bollinger Bands (20, 2) , RSI (14) , MACD (12, 26, 9) , and VWAP (on intraday charts), use their standard industry calculations. They are included to provide a complete contextual picture without needing to load each indicator separately, saving valuable chart space.
How to Use This in Your Trading
This dashboard is designed as a tool for confluence and context , not as a standalone signal generator. Here are some ways to integrate it into your analysis workflow:
As a Trend Filter: Before considering a trade, quickly glance at the EMAs and the MACD values in the table. A price above the key EMAs and a positive MACD can serve as a quick confirmation that you are aligned with the dominant trend.
To Validate Breakouts: When the price is approaching a key Resistance level (red pivot line), watch the RVOL value . A reading above 2.0 on the breakout candle adds significant confirmation that the move is backed by strong interest. The same logic applies to breakdowns below a support level.
To Spot Potential Reversals: Confluence is key. For example, if the price is testing a Support level (green pivot line) AND the RSI in the table is approaching oversold levels (e.g., near 30), it can signal a higher probability reversal setup.
About This Indicator
This indicator was developed by the team at ChartLense to help traders declutter their charts and focus on the data that matters. We believe in making complex analysis more accessible and organized. We hope this free tool is a valuable addition to your trading process.
Ultimate ICT Pro — EnhancedUltimate ICT Pro — Signals V8 is a comprehensive trading tool that combines ICT concepts with classical technical analysis to provide clear buy/sell suggestions and market structure visualization.
It includes:
Multi-timeframe EMA/ADX alignment with a switch to force calculations on higher timeframes.
Automatic detection and drawing of ICT elements (Fair Value Gaps, Order Blocks, Breaker Blocks, Liquidity Sweeps, OTE zones).
A dynamic Confluence score (0–4) based on Bias, ICT confirmation, Volume, and Market Regime.
Visual signals for BOS, CHoCH, displacement, and premium/discount zones.
A dashboard panel showing overall market direction, regime (trend/range), HTF alignment, and source of calculation.
A trade suggestion table (LONG/SHORT) with entry, stop loss, target, risk/reward, and confluence level.
Designed to be easy for beginners to understand — with intuitive visuals and clear signals — while still offering advanced insights for professional analysts.
AA1 MACD 09.2025this is a learing project i want to share
the script is open for anyone
I combain some ema's mcad and more indicators to help find stocks in momentum
Multiple Moving Averages5 Simple Moving Averages: 12, 20, 55, 80, 144 periods
Different colors: Each moving average uses a different color for easy distinction
Crossover signals: Display crossover signals for MA12/MA20 and MA55/MA144
Value display: Show current specific values of each moving average in a table at the top right corner
Optional EMA: The commented section provides code for the EMA version, which can be uncommented if needed
Futures Tick & Point Value [BoredYeti]Futures Tick & Point Value
This utility displays tick size, dollars per tick, and (optionally) a per-point row for the current futures contract.
Features
• Hardcoded $/tick map for common CME/NYMEX/CBOT/COMEX contracts
• Automatic fallback using pointvalue * mintick for any other symbol
• Table settings: adjustable position, text size, customizable colors
• Optional “Per Point” row showing ticks and $/point
Notes
• Contract specs can vary by broker/exchange and may change over time. Always confirm with official specifications.
• Educational tool only; not financial advice.
hidden buy or sell //@version=5
indicator(title="Institutional Flow & Trend", shorttitle="IF&T", overlay=true)
// --- INPUTS ---
// Trend EMA lengths
fast_ema_len = input.int(9, title="Fast EMA Length", minval=1)
slow_ema_len = input.int(21, title="Slow EMA Length", minval=1)
// OBV Moving Average length
obv_ema_len = input.int(10, title="OBV EMA Length", minval=1)
// RSI settings for hidden divergence (NEW)
rsi_len = input.int(14, title="RSI Length", minval=1)
// --- CALCULATIONS ---
// Calculate EMAs for trend
fast_ema = ta.ema(close, fast_ema_len)
slow_ema = ta.ema(close, slow_ema_len)
// Calculate On-Balance Volume and its moving average
obv_value = ta.obv
obv_ema = ta.ema(obv_value, obv_ema_len)
// Calculate RSI for divergence (NEW)
rsi_val = ta.rsi(close, rsi_len)
// --- HIDDEN DIVERGENCE LOGIC (NEW) ---
// Bullish hidden divergence: price makes a higher low, but RSI makes a lower low.
bullish_div = ta.lowest(low, 2) > ta.lowest(low, 2) and rsi_val > rsi_val
// Bearish hidden divergence: price makes a lower high, but RSI makes a higher high.
bearish_div = ta.highest(high, 2) < ta.highest(high, 2) and rsi_val < rsi_val
// --- SIGNAL LOGIC ---
// Bullish conditions:
// 1. Hidden bullish divergence is detected (NEW)
// 2. Fast EMA is above Slow EMA (uptrend)
// 3. OBV value is above its moving average (buying pressure)
bullish_signal = bullish_div and fast_ema > slow_ema and obv_value > obv_ema
// Bearish conditions:
// 1. Hidden bearish divergence is detected (NEW)
// 2. Fast EMA is below Slow EMA (downtrend)
// 3. OBV value is below its moving average (selling pressure)
bearish_signal = bearish_div and fast_ema < slow_ema and obv_value < obv_ema
// --- PLOTS & VISUALS ---
// Plot the EMAs on the chart
plot(fast_ema, title="Fast EMA", color=color.new(color.blue, 0), linewidth=2)
plot(slow_ema, title="Slow EMA", color=color.new(color.orange, 0), linewidth=2)
// Color the background based on signals
bgcolor(bullish_signal ? color.new(color.green, 90) : na, title="Bullish Zone")
bgcolor(bearish_signal ? color.new(color.red, 90) : na, title="Bearish Zone")
// Plot shapes for entry signals
plotshape(series=bullish_signal, title="Buy Signal", location=location.belowbar, color=color.new(color.green, 0), style=shape.triangleup, size=size.small)
plotshape(series=bearish_signal, title="Sell Signal", location=location.abovebar, color=color.new(color.red, 0), style=shape.triangledown, size=size.small)
// Plot shapes for divergence signals (NEW)
plotshape(series=bullish_div, title="Bullish Divergence", location=location.belowbar, color=color.new(color.lime, 0), style=shape.circle, size=size.tiny)
plotshape(series=bearish_div, title="Bearish Divergence", location=location.abovebar, color=color.new(color.red, 0), style=shape.circle, size=size.tiny)
// Alert conditions
alertcondition(bullish_signal, title="Bullish Reversal Signal", message="Institutional buying and trend aligned for a reversal!")
alertcondition(bearish_signal, title="Bearish Reversal Signal", message="Institutional selling and trend aligned for a reversal!")
// --- FOOTNOTE ---
// This indicator is a conceptual tool. Use it with other forms of analysis.
// Backtesting and optimization are crucial before live trading.
Distribution DaysThis script marks Distribution Days according to the Investors Business Daily method -- a significant decline on higher volume:
(1.) Price has declined > 0.2% from the prior day's close
(2.) Trading volume is greater than the prior day's volume
Ultimate ICT Pro — Signals V8Ultimate ICT Pro — Signals V8 is a comprehensive trading tool that combines ICT concepts with classical technical analysis to provide clear buy/sell suggestions and market structure visualization.
It includes:
Multi-timeframe EMA/ADX alignment with a switch to force calculations on higher timeframes.
Automatic detection and drawing of ICT elements (Fair Value Gaps, Order Blocks, Breaker Blocks, Liquidity Sweeps, OTE zones).
A dynamic Confluence score (0–4) based on Bias, ICT confirmation, Volume, and Market Regime.
Visual signals for BOS, CHoCH, displacement, and premium/discount zones.
A dashboard panel showing overall market direction, regime (trend/range), HTF alignment, and source of calculation.
A trade suggestion table (LONG/SHORT) with entry, stop loss, target, risk/reward, and confluence level.
Designed to be easy for beginners to understand — with intuitive visuals and clear signals — while still offering advanced insights for professional analysts.
Herman 8-9 am SweepFrom x.com
1. Sweep 8-9am high/low
2. After sweep - 82.66% back to 9am candle open (before 10am)
The rectangle only appears when the 9 a.m. candle closes.
The yellow line only appears if there is a sweep of the High or Low of the rectangle.
The green line only appears if, after the sweep, the price returns to the line before 10 a.m.
If the line is not displayed, there is no sweep before 10 am.
Credits to: @R_Herman_ on X (Twitter)
Thanks and good trading
Ultimate ICT Pro — Strategy (v6 CLEAN, indicator)The Ultimate ICT Pro — Strategy is a comprehensive trading solution that combines advanced ICT (Inner Circle Trader) concepts with robust trend, volume, and volatility filters. This strategy automatically identifies key market structures such as Break of Structure (BOS), Change of Character (CHOCH), Fair Value Gaps (FVG), and Order Blocks, providing clear entry and exit signals based on multiple confluences. With customizable risk management, regime filtering using ADX and EMAs, and optional funding/volume constraints, Ultimate ICT Pro empowers traders to capture high-probability moves in trending markets while minimizing risk. Designed for both backtesting and live trading, it is suitable for all experience levels looking to leverage smart money concepts with automation and clarity.
Ichimoku + MACD Combo (Two Alerts)The script is made in conjunction with below mentioned video which i watched few days ago
youtu.be
So i combined both ichimoku and MACD indicators and created the alerts as shown in the video
Trend-Strong Candle - 3 EMAs with Filters# Trend-Strong Candle - Professional Trading Indicator
## 📊 What It Does
Identifies high-probability entries by combining triple EMA trend analysis with strong candle detection. Only signals when all conditions align for maximum accuracy.
## 🎯 Core Features
- Triple EMA System: Fast (20) / Medium (50) / Slow (200) for trend confirmation
- Strong Candle Filter: ATR-based sizing ensures genuine momentum
- Advanced Filters: EMA close validation + trend stability checks
- Live Alerts: Instant notifications for real-time signals
- Session Filter: Trade only during active EU/US market hours
## ⚡ Quick Setup
Scalping (1-5min): Default settings + enable session filter
Day Trading (15-60min): Default settings work perfectly
Swing Trading (4H+): Increase ATR multiplier to 0.8-1.0
## 📈 Trading Rules
Long Signals: Green triangle below candle
- Strong bullish candle during confirmed uptrend
- All EMAs properly aligned (Fast > Medium > Slow)
Short Signals: Red triangle above candle
- Strong bearish candle during confirmed downtrend
- All EMAs properly aligned (Fast < Medium < Slow)
## ⚠️ Critical Success Factors
1. Always Verify the Trend Yourself
The indicator helps identify signals, but YOU must confirm the larger trend context. Check higher timeframes and overall market structure before entering.
2. Understand the "Big Players"
Strong candles in trend direction usually come from institutional money (banks, funds, algorithms). These create the momentum that retail traders can follow. The indicator catches these institutional moves.
3. Distance to Next Value Level
NEVER enter if price is too close to major resistance/support levels:
- Check distance to round numbers (1.1000, 1.1050, etc.)
- Ensure at least 20-30 pips room to next key level
- You need space for profit - tight levels = limited upside
4. Risk Management
- Stop Loss: 1-2 ATR from entry
- Take Profit: 2-3 ATR target (minimum 1:2 R/R)
- Position Size: Risk max 1-2% per trade
## 💡 Pro Tips
- Best Sessions: London open (8-12 UTC) and NY open (13-17 UTC)
- Avoid: Major news, low liquidity periods, choppy markets
- Multiple Timeframes: Confirm signals on higher timeframe
- Value Levels: Always check daily/weekly support/resistance before entering
## 🎯 Success Formula
Trend Confirmation + Strong Institutional Candle + Distance to Value Levels = High Probability Trade
*
Remember: The indicator finds the signals, but successful trading requires your analysis of trend context and value level positioning. Trade smart, not just frequent.
9:30 AM Open Percentage Lines//@version=5
indicator("9:30 AM Open Percentage Lines", overlay=true)
// Define the market open time in New York (or your local time zone if different)
// This is for 9:30 AM
var float opening_price = na
// Check if the current bar is the first one of the day at 9:30 AM
is_930_bar = (dayofweek == dayofweek.monday or dayofweek == dayofweek.tuesday or dayofweek == dayofweek.wednesday or dayofweek == dayofweek.thursday or dayofweek == dayofweek.friday) and hour(time("America/New_York")) == 9 and minute(time("America/New_York")) == 30
// On the first bar that meets the criteria, capture the opening price
if is_930_bar
opening_price := open
// Calculate the percentage levels based on the captured opening price
fivePercentAbove = opening_price * 1.05
sevenPercentAbove = opening_price * 1.07
twentySevenPercentAbove = opening_price * 1.27
// Plot the lines on the chart
// The `na` condition ensures the line is only plotted after the 9:30 AM bar has passed
plot(not na(opening_price) ? fivePercentAbove : na, title="5% Above 9:30 AM Open", color=color.new(color.rgb(255, 12, 12), 0), linewidth=2, trackprice=false)
plot(not na(opening_price) ? sevenPercentAbove : na, title="7% Above 9:30 AM Open", color=color.new(color.rgb(0, 150, 255), 0), linewidth=2, trackprice=false)
plot(not na(opening_price) ? twentySevenPercentAbove : na, title="27% Above 9:30 AM Open", color=color.new(color.rgb(255, 0, 0), 0), linewidth=2, trackprice=false)