ALMA Trend-boxThis indicator uses the ALMA (Arnaud Legoux Moving Average) – a special type of moving average that provides a smoother and more responsive trend line. Based on the slope (angle) of the ALMA line and the price position relative to it, the indicator:
Colors candles in three different ways (to reflect market structure),
Plots the ALMA line on the chart,
Detects consolidation and highlights it with blue candles, background shading, and horizontal "box" lines.
📘 Candle Colors – How to Interpret Them
Candle Color Meaning Interpretation
🟩 Green Uptrend ALMA is sloping upward and price is above ALMA – look for buying opportunities.
🟥 Red Downtrend ALMA is sloping downward and price is below ALMA – look for selling opportunities.
🔵 Blue Sideways (Consolidation) Weak or neutral trend – market is moving sideways or accumulating.
🔵 What Do Blue Candles and the “Trend-box” Mean?
Blue candles represent consolidation periods, which occur when:
The slope of the ALMA line is less than ±40°, indicating a lack of strong trend,
The price behavior is not consistent with the direction of the slope (e.g., price is below ALMA even though ALMA is pointing upward).
During this time:
Blue candles and a blue background appear to visually highlight the consolidation,
Two dashed horizontal lines (a “box”) are drawn at the high and low of the consolidation range.
📌 The Trend-box helps you visually spot ranging markets, which often precede strong breakouts.
📈 How to Use This Indicator in Practice
Trend Following Strategy:
When candles are green → consider long trades.
When candles are red → consider short trades.
Use additional indicators (like RSI, MACD, or volume) to confirm entries.
Breakout Trading:
When blue candles and the box appear, wait for the price to:
Break above the box → potential long breakout.
Break below the box → potential short breakout.
You can set pending orders (buy stop/sell stop) just outside the box range.
Avoiding Choppy Entries:
Blue candles signal uncertainty – avoid entering impulsively during this time. Wait for trend confirmation.
⚙️ Adjustable Settings
ALMA Length – controls how quickly the moving average reacts.
Slope Threshold – determines the minimum angle required to define a trend.
Candle Colors – fully customizable (green/red/blue by default).
✅ Conclusion
ALMA Trend-box is a powerful visual tool for identifying:
Trending conditions (bullish or bearish),
Sideways markets (consolidation),
Breakout setups with clearly marked zones.
It works well on its own or as part of a larger trading system. Blue candles tell you to be patient, while transitions into green/red candles indicate developing trends.
Analisis Trend
Color Change EMA 200 (4H)200 Color Change EMA (4H Locked)
Overview
This indicator displays a 200-period Exponential Moving Average (EMA) that is locked to the 4-hour timeframe, regardless of what chart timeframe you're currently viewing. The EMA line changes color dynamically based on price action to provide clear visual trend signals.
Key Features
• Multi-Timeframe Capability : Always shows the 4H 200 EMA on any chart timeframe
• Dynamic Color Coding :
- Green: Price is above the 200 EMA (bullish condition)
- Red: Price is below the 200 EMA (bearish condition)
• Clean Visual Design : Bold 2-pixel line width for clear visibility
• Real-time Updates : Colors change instantly as price crosses above or below the EMA
How to Use
1. Add the indicator to any timeframe chart
2. The 4H 200 EMA will appear as a smooth line
3. Watch for color changes:
- When the line turns green, it indicates price strength above the key moving average
- When the line turns red, it suggests price weakness below the moving average
4. Use for trend identification, support/resistance levels, and entry/exit timing
Best Practices
• Combine with other technical analysis tools for confirmation
• Use the color changes as alerts for potential trend shifts
• Consider the 200 EMA as a major support/resistance level
• Works well for swing trading and position sizing decisions
Settings
• Length : Default 200 periods (customizable)
• Source : Default closing price (customizable)
Perfect for traders who want to keep the important 4H 200 EMA visible across all timeframes with instant visual trend feedback.
GER40 BIAS Forecast [ML-Based]🎯 Purpose:
This indicator provides a daily directional bias (LONG / SHORT / FLAT) for the German DAX40 index (GER40) using a statistically optimized scoring model, developed with 6 years of historical data and verified through machine learning analysis.
🧠 How the Score Works (ML-derived):
Each trading day receives a bias score (0–3) for both long and short setups, based on these 3 factors from the daily candle:
Condition Long Score Logic Short Score Logic
1. Candle Direction Close > Open → +1 Close < Open → +1
2. VWAP Slope VWAP > VWAP → +1 VWAP < VWAP → +1
3. Volatility Strength Range > SMA(20) → +1 Close < Yesterday's Low → +1 (Rejection)
➡️ A score of 2 or more triggers a Long or Short Bias for the day.
These scoring rules are derived from a machine learning model trained on 6 years of DAX data, identifying the most predictive features for directional follow-through.
📘 Bias Interpretation:
Score Result Daily Bias Background Color
Long Score ≥ 2 LONG Green
Short Score ≥ 2 SHORT Red
Both < 2 FLAT Gray
📍 Indicator Features:
🎨 Background coloring to visualize daily bias directly on intraday charts
🔢 Optional score labels (e.g. “Long: 2 | Short: 1”) per calendar day
📈 VWAP line plotted for additional intraday context
❌ Entry signals removed – this version focuses solely on forecasting directional bias
💡 Use Case:
Morning planning aid
Filtering for high-probability intraday setups
Combining with session-based entry systems
📈 Pro EMA/SMA Buy Sell (Clean & Glowing) 📈 Pro EMA/SMA Buy Sell
This indicator plots a crossover-based buy/sell signal system using:
- A fast Exponential Moving Average (EMA)
- A slower Simple Moving Average (SMA)
🔹 BUY Signal: When EMA crosses above SMA
🔹 SELL Signal: When EMA crosses below SMA
Features:
✅ Clean glowing lines for EMA and SMA
✅ Transparent glowing BUY (green) and SELL (red) labels
✅ Real-time alert conditions for automated strategy triggers
Ideal for:
- Intraday and Swing Traders
- Beginners looking for trend-based signals
- Chart setups requiring minimal noise but powerful visuals
NP Screener with Alerts For Nifty 50 [NITIN PADALE]//@version=6
indicator('NP Screener with Alerts For Nifty 50 ', overlay = true)
////////////
// INPUTS //
filter_enabled = input.bool(false, '', group = 'Filter', inline = 'Filter')
filter_column = input.string('Price', title = 'Column', options = , group = 'Filter', inline = 'Filter')
filter_from = input.float(-9999999, 'From', group = 'Filter', inline = 'Filter')
filter_to = input.float(9999999, 'To', group = 'Filter', inline = 'Filter')
// SMA
rsi_len = input.int(14, title = 'RSI Length', group = 'Indicators')
rsi_os = input.float(30, title = 'RSI Overbought', group = 'Indicators')
rsi_ob = input.float(70, title = 'RSI Oversold', group = 'Indicators')
// TSI
tsi_long_len = input.int(25, title = 'TSI Long Length', group = 'Indicators')
tsi_shrt_len = input.int(13, title = 'TSI Short Length', group = 'Indicators')
tsi_ob = input.float(30, title = 'TSI Overbought', group = 'Indicators')
tsi_os = input.float(-30, title = 'TSI Oversold', group = 'Indicators')
// ADX Params
adx_smooth = input.int(14, title = 'ADX Smoothing', group = 'Indicators')
adx_dilen = input.int(14, title = 'ADX DI Length', group = 'Indicators')
adx_level = input.float(40, title = 'ADX Level', group = 'Indicators')
// SuperTrend
sup_atr_len = input.int(10, 'Supertrend ATR Length', group = 'Indicators')
sup_factor = input.float(3.0, 'Supertrend Factor', group = 'Indicators')
/////////////
// SYMBOLS //
u01 = input.bool(true, title = '', group = 'Symbols', inline = 's01')
u02 = input.bool(true, title = '', group = 'Symbols', inline = 's02')
u03 = input.bool(true, title = '', group = 'Symbols', inline = 's03')
u04 = input.bool(true, title = '', group = 'Symbols', inline = 's04')
u05 = input.bool(true, title = '', group = 'Symbols', inline = 's05')
u06 = input.bool(true, title = '', group = 'Symbols', inline = 's06')
u07 = input.bool(true, title = '', group = 'Symbols', inline = 's07')
u08 = input.bool(true, title = '', group = 'Symbols', inline = 's08')
u09 = input.bool(true, title = '', group = 'Symbols', inline = 's09')
u10 = input.bool(true, title = '', group = 'Symbols', inline = 's10')
s01 = input.symbol('HDFCBANK', group = 'Symbols', inline = 's01')
s02 = input.symbol('ICICIBANK', group = 'Symbols', inline = 's02')
s03 = input.symbol('RELIANCE', group = 'Symbols', inline = 's03')
s04 = input.symbol('INFY', group = 'Symbols', inline = 's04')
s05 = input.symbol('BHARTIARTL', group = 'Symbols', inline = 's05')
s06 = input.symbol('LT', group = 'Symbols', inline = 's06')
s07 = input.symbol('ITC', group = 'Symbols', inline = 's07')
s08 = input.symbol('TCS', group = 'Symbols', inline = 's08')
s09 = input.symbol('AXISBANK', group = 'Symbols', inline = 's09')
s10 = input.symbol('SBIN', group = 'Symbols', inline = 's10')
//////////////////
// CALCULATIONS //
filt_col_id = switch filter_column
'Price' => 1
'RSI' => 2
'TSI' => 3
'ADX' => 4
'SuperTrend' => 5
=> 0
// Get only symbol
only_symbol(s) =>
array.get(str.split(s, ':'), 1)
id_symbol(s) =>
switch s
1 => only_symbol(s01)
2 => only_symbol(s02)
3 => only_symbol(s03)
4 => only_symbol(s04)
5 => only_symbol(s05)
6 => only_symbol(s06)
7 => only_symbol(s07)
8 => only_symbol(s08)
9 => only_symbol(s09)
10 => only_symbol(s10)
=> na
// for TSI
double_smooth(src, long, short) =>
fist_smooth = ta.ema(src, long)
ta.ema(fist_smooth, short)
// ADX
dirmov(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : up > down and up > 0 ? up : 0
minusDM = na(down) ? na : down > up and down > 0 ? down : 0
truerange = ta.rma(ta.tr, len)
plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
adx_func(dilen, adxlen) =>
= dirmov(dilen)
sum = plus + minus
adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
adx
screener_func() =>
// RSI
rsi = ta.rsi(close, rsi_len)
// TSI
pc = ta.change(close)
double_smoothed_pc = double_smooth(pc, tsi_long_len, tsi_shrt_len)
double_smoothed_abs_pc = double_smooth(math.abs(pc), tsi_long_len, tsi_shrt_len)
tsi = 100 * (double_smoothed_pc / double_smoothed_abs_pc)
// ADX
adx = adx_func(adx_dilen, adx_smooth)
// Supertrend
= ta.supertrend(sup_factor, sup_atr_len)
// Set Up Matrix
screenerMtx = matrix.new(0, 6, na)
screenerFun(numSym, sym, flg) =>
= request.security(sym, timeframe.period, screener_func())
arr = array.from(numSym, cl, rsi, tsi, adx, sup)
if flg
matrix.add_row(screenerMtx, matrix.rows(screenerMtx), arr)
// Security call
screenerFun(01, s01, u01)
screenerFun(02, s02, u02)
screenerFun(03, s03, u03)
screenerFun(04, s04, u04)
screenerFun(05, s05, u05)
screenerFun(06, s06, u06)
screenerFun(07, s07, u07)
screenerFun(08, s08, u08)
screenerFun(09, s09, u09)
screenerFun(10, s10, u10)
///////////
// PLOTS //
var tbl = table.new(position.top_right, 6, 41, frame_color = #151715, frame_width = 1, border_width = 2, border_color = color.new(color.white, 100))
log.info(str.tostring(filt_col_id))
alert_msg = ''
if barstate.islast
table.clear(tbl, 0, 0, 5, 40)
table.cell(tbl, 0, 0, 'Symbol', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small)
table.cell(tbl, 1, 0, 'Price', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small)
table.cell(tbl, 2, 0, 'RSI', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small)
table.cell(tbl, 3, 0, 'TSI', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small)
table.cell(tbl, 4, 0, 'ADX', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small)
table.cell(tbl, 5, 0, 'Supertrend', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small)
if matrix.rows(screenerMtx) > 0
for i = 0 to matrix.rows(screenerMtx) - 1 by 1
is_filt = not filter_enabled or matrix.get(screenerMtx, i, filt_col_id) >= filter_from and matrix.get(screenerMtx, i, filt_col_id) <= filter_to
if is_filt
if str.length(alert_msg) > 0
alert_msg := alert_msg + ','
alert_msg
alert_msg := alert_msg + id_symbol(matrix.get(screenerMtx, i, 0))
rsi_col = matrix.get(screenerMtx, i, 2) > rsi_ob ? color.red : matrix.get(screenerMtx, i, 2) < rsi_os ? color.green : #aaaaaa
tsi_col = matrix.get(screenerMtx, i, 3) > tsi_ob ? color.red : matrix.get(screenerMtx, i, 3) < tsi_os ? color.green : #aaaaaa
adx_col = matrix.get(screenerMtx, i, 4) > adx_level ? color.green : #aaaaaa
sup_text = matrix.get(screenerMtx, i, 5) > 0 ? 'Down' : 'Up'
sup_col = matrix.get(screenerMtx, i, 5) < 0 ? color.green : color.red
table.cell(tbl, 0, i + 1, id_symbol(matrix.get(screenerMtx, i, 0)), text_halign = text.align_left, bgcolor = color.gray, text_color = color.white, text_size = size.small)
table.cell(tbl, 1, i + 1, str.tostring(matrix.get(screenerMtx, i, 1)), text_halign = text.align_center, bgcolor = #aaaaaa, text_color = color.white, text_size = size.small)
table.cell(tbl, 2, i + 1, str.tostring(matrix.get(screenerMtx, i, 2), '#.##'), text_halign = text.align_center, bgcolor = rsi_col, text_color = color.white, text_size = size.small)
table.cell(tbl, 3, i + 1, str.tostring(matrix.get(screenerMtx, i, 3), '#.##'), text_halign = text.align_center, bgcolor = tsi_col, text_color = color.white, text_size = size.small)
table.cell(tbl, 4, i + 1, str.tostring(matrix.get(screenerMtx, i, 4), '#.##'), text_halign = text.align_center, bgcolor = adx_col, text_color = color.white, text_size = size.small)
table.cell(tbl, 5, i + 1, sup_text, text_halign = text.align_center, bgcolor = sup_col, text_color = color.white, text_size = size.small)
if str.length(alert_msg) > 0
alert(alert_msg, freq = alert.freq_once_per_bar_close)
EMA-MACD-Stoch by PashaThis indicator combines three popular technical analysis tools — EMA, MACD, and Stochastic — to generate strong and filtered buy/sell signals. It incorporates its own strategic logic and provides trade suggestions only when multiple confirmations align.
Developed by Mehmet (alias: Pasha), this indicator is designed for users seeking short-term entries in markets like BIST. It performs most effectively on the 30-minute timeframe, but can also be used across different timeframes.
Levels Of Interest------------------------------------------------------------------------------------
LEVELS OF INTEREST (LOI)
TRADING INDICATOR GUIDE
------------------------------------------------------------------------------------
Table of Contents:
1. Indicator Overview & Core Functionality
2. VWAP Foundation & Historical Context
3. Multi-Timeframe VWAP Analysis
4. Moving Average Integration System
5. Trend Direction Signal Detection
6. Visual Design & Display Features
7. Custom Level Integration
8. Repaint Protection Technology
9. Practical Trading Applications
10. Setup & Configuration Recommendations
------------------------------------------------------------------------------------
1. INDICATOR OVERVIEW & CORE FUNCTIONALITY
------------------------------------------------------------------------------------
The LOI indicator combines multiple VWAP calculations with moving averages across different timeframes. It's designed to show where institutional money is flowing and help identify key support and resistance levels that actually matter in today's markets.
Primary Functions:
- Multi-timeframe VWAP analysis (Daily, Weekly, Monthly, Yearly)
- Advanced moving average integration (EMA, SMA, HMA)
- Real-time trend direction detection
- Institutional flow analysis
- Dynamic support/resistance identification
Target Users: Day traders, swing traders, position traders, and institutional analysts seeking comprehensive market structure analysis.
------------------------------------------------------------------------------------
2. VWAP FOUNDATION & HISTORICAL CONTEXT
------------------------------------------------------------------------------------
Historical Development: VWAP started in the 1980s when big institutional traders needed a way to measure if they were getting good fills on their massive orders. Unlike regular price averages, VWAP weighs each price by the volume traded at that level. This makes it incredibly useful because it shows you where most of the real money changed hands.
Mathematical Foundation: The basic math is simple: you take each price, multiply it by the volume at that price, add them all up, then divide by total volume. What you get is the true "average" price that reflects actual trading activity, not just random price movements.
Formula: VWAP = Σ(Price × Volume) / Σ(Volume)
Where typical price = (High + Low + Close) / 3
Institutional Behavior Patterns:
- When price trades above VWAP, institutions often look to sell
- When it's below, they're usually buying
- Creates natural support and resistance that you can actually trade against
- Serves as benchmark for execution quality assessment
------------------------------------------------------------------------------------
3. MULTI-TIMEFRAME VWAP ANALYSIS
------------------------------------------------------------------------------------
Core Innovation: Here's where LOI gets interesting. Instead of just showing daily VWAP like most indicators, it displays four different timeframes simultaneously:
**Daily VWAP Implementation**:
- Resets every morning at market open
- Provides clearest picture of intraday institutional sentiment
- Primary tool for day trading strategies
- Most responsive to immediate market conditions
**Weekly VWAP System**:
- Resets each Monday (or first trading day)
- Smooths out daily noise and volatility
- Perfect for swing trades lasting several days to weeks
- Captures weekly institutional positioning
**Monthly VWAP Analysis**:
- Resets at beginning of each calendar month
- Captures bigger institutional rebalancing at month-end
- Fund managers often operate on monthly mandates
- Significant weight in intermediate-term analysis
**Yearly VWAP Perspective**:
- Resets annually for full-year institutional view
- Shows long-term institutional positioning
- Where pension funds and sovereign wealth funds operate
- Critical for major trend identification
Confluence Zone Theory: The magic happens when multiple VWAP levels cluster together. These confluence zones often become major turning points because different types of institutional money all see value at the same price.
------------------------------------------------------------------------------------
4. MOVING AVERAGE INTEGRATION SYSTEM
------------------------------------------------------------------------------------
Multi-Type Implementation: The indicator includes three types of moving averages, each with its own personality and application:
**Exponential Moving Averages (EMAs)**:
- React quickly to recent price changes
- Displayed as solid lines for easy identification
- Optimal performance in trending market conditions
- Higher sensitivity to current price action
**Simple Moving Averages (SMAs)**:
- Treat all historical data points equally
- Appear as dashed lines in visual display
- Slower response but more reliable in choppy conditions
- Traditional approach favored by institutional traders
**Hull Moving Averages (HMAs)**:
- Newest addition to the system (dotted line display)
- Created by Alan Hull in 2005
- Solves classic moving average dilemma: speed vs. accuracy
- Manages to be both responsive and smooth simultaneously
Technical Innovation: Alan Hull's solution addresses the fundamental problem where moving averages are either too slow (missing moves) or too fast (generating false signals). HMAs achieve optimal balance through weighted calculation methodology.
Period Configuration:
- 5-period: Short-term momentum assessment
- 50-period: Intermediate trend identification
- 200-period: Long-term directional confirmation
------------------------------------------------------------------------------------
5. TREND DIRECTION SIGNAL DETECTION
------------------------------------------------------------------------------------
Real-Time Momentum Analysis: One of LOI's best features is its real-time trend detection system. Next to each moving average, visual symbols provide immediate trend assessment:
Symbol System:
- ▲ Rising average (bullish momentum confirmation)
- ▼ Falling average (bearish momentum indication)
- ► Flat average (consolidation or indecision period)
Update Frequency: These signals update in real-time with each new price tick and function across all configured timeframes. Traders can quickly scan daily and weekly trends to assess alignment or conflicting signals.
Multi-Timeframe Trend Analysis:
- Simultaneous daily and weekly trend comparison
- Immediate identification of trend alignment
- Early warning system for potential reversals
- Momentum confirmation for entry decisions
------------------------------------------------------------------------------------
6. VISUAL DESIGN & DISPLAY FEATURES
------------------------------------------------------------------------------------
Color Psychology Framework: The color scheme isn't random but based on psychological associations and trading conventions:
- **Blue Tones**: Institutional neutrality (VWAP levels)
- **Green Spectrum**: Growth and stability (weekly timeframes)
- **Purple Range**: Longer-term sophistication (monthly analysis)
- **Orange Hues**: Importance and attention (yearly perspective)
- **Red Tones**: User-defined significance (custom levels)
Adaptive Display Technology: The indicator automatically adjusts decimal places based on the instrument you're trading. High-priced stocks show 2 decimals, while penny stocks might show 8. This keeps the display incredibly clean regardless of what you're analyzing - no cluttered charts or overwhelming information overload.
Smart Labeling System: Advanced positioning algorithm automatically spaces all elements to prevent overlap, even during extreme zoom levels or multiple timeframe analysis. Every level stays clearly readable without any visual chaos disrupting your analysis.
------------------------------------------------------------------------------------
7. CUSTOM LEVEL INTEGRATION
------------------------------------------------------------------------------------
User-Defined Level System: Beyond the calculated VWAP and moving average levels, traders can add custom horizontal lines at any price point for personalized analysis.
Strategic Applications:
- **Psychological Levels**: Round numbers, previous significant highs/lows
- **Technical Levels**: Fibonacci retracements, pivot points
- **Fundamental Targets**: Analyst price targets, earnings estimates
- **Risk Management**: Stop-loss and take-profit zones
Integration Features:
- Seamless incorporation with smart labeling system
- Custom color selection for visual organization
- Extension capabilities across all chart timeframes
- Maintains display clarity with existing indicators
------------------------------------------------------------------------------------
8. REPAINT PROTECTION TECHNOLOGY
------------------------------------------------------------------------------------
Critical Trading Feature: This addresses one of the most significant issues in live trading applications. Most multi-timeframe indicators "repaint," meaning they display different signals when viewing historical data versus real-time analysis.
Protection Benefits:
- Ensures every displayed signal could have been traded when it appeared
- Eliminates discrepancies between historical and live analysis
- Provides realistic performance expectations
- Maintains signal integrity across chart refreshes
Configuration Options:
- **Protection Enabled**: Default setting for live trading
- **Protection Disabled**: Available for backtesting analysis
- User-selectable toggle based on analysis requirements
- Applies to all multi-timeframe calculations
Implementation Note: With protection enabled, signals may appear one bar later than without protection, but this ensures all signals represent actionable opportunities that could have been executed in real-time market conditions.
------------------------------------------------------------------------------------
9. PRACTICAL TRADING APPLICATIONS
------------------------------------------------------------------------------------
**Day Trading Strategy**:
Focus on daily VWAP with 5-period moving averages. Look for bounces off VWAP or breaks through it with volume. Short-term momentum signals provide entry and exit timing.
**Swing Trading Approach**:
Weekly VWAP becomes your primary anchor point, with 50-period averages showing intermediate trends. Position sizing based on weekly VWAP distance.
**Position Trading Method**:
Monthly and yearly VWAP provide broad market context, while 200-period averages confirm long-term directional bias. Suitable for multi-week to multi-month holdings.
**Multi-Timeframe Confluence Strategy**:
The highest-probability setups occur when daily, weekly, and monthly VWAPs cluster together, especially when multiple moving averages confirm the same direction. These represent institutional consensus zones.
Risk Management Integration:
- VWAP levels serve as dynamic stop-loss references
- Multiple timeframe confirmation reduces false signals
- Institutional flow analysis improves position sizing decisions
- Trend direction signals optimize entry and exit timing
------------------------------------------------------------------------------------
10. SETUP & CONFIGURATION RECOMMENDATIONS
------------------------------------------------------------------------------------
Initial Configuration: Start with default settings and adjust based on individual trading style and market focus. Short-term traders should emphasize daily and weekly timeframes, while longer-term investors benefit from monthly and yearly level analysis.
Transparency Optimization: The transparency settings allow clear price action visibility while maintaining level reference points. Most traders find 70-80% transparency optimal - it provides a clean, unobstructed view of price movement while maintaining all critical reference levels needed for analysis.
Integration Strategy: Remember that no indicator functions effectively in isolation. LOI provides excellent context for institutional flow and trend direction analysis, but should be combined with complementary analysis tools for optimal results.
Performance Considerations:
- Multiple timeframe calculations may impact chart loading speed
- Adjust displayed timeframes based on trading frequency
- Customize color schemes for different market sessions
- Regular review and adjustment of custom levels
------------------------------------------------------------------------------------
FINAL ANALYSIS
------------------------------------------------------------------------------------
Competitive Advantage: What makes LOI different is its focus on where real money actually trades. By combining volume-weighted calculations with multiple timeframes and trend detection, it cuts through market noise to show you what institutions are really doing.
Key Success Factor: Understanding that different timeframes serve different purposes is essential. Use them together to build a complete picture of market structure, then execute trades accordingly.
The integration of institutional flow analysis with technical trend detection creates a comprehensive trading tool that addresses both short-term tactical decisions and longer-term strategic positioning.
------------------------------------------------------------------------------------
END OF DOCUMENTATION
------------------------------------------------------------------------------------
🔥 Volatility Squeeze Breakout Strategy (TP/SL in Points)This strategy is designed to catch explosive breakout moves from low-volatility consolidations using a "volatility squeeze" + breakout + momentum" approach. It identifies high-probability buy opportunities when the market is in a tight range and preparing for expansion.
✅ Entry Condition:
- Previous candle is in a squeeze
- Current candle breaks above channel high
- Momentum is positive (ROC)
🎯 Exit Conditions:
- Take Profit in fixed points above entry price
- Stop Loss in fixed points below entry price
🧰 Inputs:
- ATR Length for volatility
- Channel Length for breakout levels
- ROC Length for momentum
- Squeeze threshold (ATR/close)
- TP/SL in absolute price points
📊 Plots:
- Buy signals shown as green triangles
- Channel high/low plotted
- TP/SL levels shown as live lines when in position
Suitable for intraday breakout scalping or directional trades
when price expands from compression zones.
Volume Point of Control with Fib Based Profile🍀Description:
This indicator is a comprehensive volume profile analysis tool designed to identify key price levels based on trading activity within user-defined timeframes. It plots the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL), along with dynamically calculated Fibonacci levels derived from the developing period's range. It offers extensive customization for both historical and developing levels.
🍀Core Features:
Volume Profiling (POC, VAH, VAL):
Calculates and plots the POC (price level with the highest volume), VAH, and VAL for a selected timeframe (e.g., Daily, Weekly).
The Value Area percentage is configurable. 70% is common on normal volume profiles, but this script allows you to configure multiple % levels via the fib levels. I recommend using 2 versions of this indicator on a chart, one has Value Area at 1 (100% - high and low of lookback) and the second is a specified VA area (i.e. 70%) like in the chart snapshot above. See examples at the bottom.
Historical Levels:
Plots POC, VAH, and VAL from previous completed periods.
Optionally displays only "Unbroken" levels – historical levels that price has not yet revisited, which can act as stronger magnets or resistance/support.
The user can manage the number of historical lines displayed to prevent chart clutter.
Developing Levels:
Shows the POC, VAH, and VAL as they form in real-time during the current, incomplete period. This provides insight into intraday/intra-period value migration.
Dynamic Fibonacci Levels:
Calculates and plots Fibonacci retracement/extension levels based dynamically on the range between the developing POC and the developing VAH/VAL.
Offers 8 configurable % levels above and below POC that can be toggled on/off.
Visual Customization:
Extensive options for colors, line styles, and widths for all plotted levels.
Optional gradient fill for the Value Area that visualizes current price distance from POC - option to invert the colors as well.
Labels for developing levels and Fibonacci levels for easy identification.
🍀Characteristics:
Volume-Driven: Levels are derived from actual trading volume, reflecting areas of high participation and price agreement/disagreement.
Timeframe Specific: The results are entirely dependent on the chosen profile timeframe.
Dynamic & Static Elements: Developing levels and Fibs update live, while historical levels remain fixed once their period closes.
Lagging (Historical) & Potentially Leading: Historical levels are based on the past, but are often respected by future price action. Developing levels show current dynamics.
🍀How to Use It:
Identifying Support & Resistance: Historical and developing POCs, VAHs, and VALs are often key areas where price may react. Unbroken levels are particularly noteworthy.
Market Context & Sentiment: Trading above the POC suggests bullish strength/acceptance of higher prices, while trading below suggests bearishness/acceptance of lower prices.
Entry/Exit Zones: Interactions with these levels (rejections, breakouts, tests) can provide potential entry or exit signals, especially when confirming with other analysis methods.
Dynamic Targets: The Fibonacci levels calculated from the developing POC-VA range offer potential intraday/intra-period price targets or areas of interest.
Understanding Value Migration: Observing the movement of the developing POC/VAH/VAL throughout the period reveals where value is currently being established.
🍀Potential Drawbacks:
Input Sensitivity: The choice of timeframe, Value Area percentage, and volume resolution heavily influences the generated levels. Experimentation is needed for optimal settings per instrument/market. (I've found that Range Charts can provide very accurate volume levels on TV since the time element is removed. This helps to refine the accuracy of price levels with high volume.)
Volume Data Dependency: Requires accurate volume data. May be less reliable on instruments with sparse or questionable volume reporting.
Chart Clutter: Enabling all features simultaneously can make the chart busy. Utilize the line management inputs and toggle features as needed.
Not a Standalone Strategy: This indicator provides context and key levels. It should be used alongside other technical analysis tools and price action reading for robust decision-making.
Developing Level Fluctuation: Developing POC/VA/Fib levels can shift considerably, especially early in a new period, before settling down as more volume accumulates and time passes.
🍀Recommendations/Examples:
I recommend have this indicator on your chart twice, one has the VA set at 1 (100%) and has the fib levels plotted. The second has the VA set to 0.7 (70%) to highlight the defined VA.
Here is an example with 3 on a chart. VA of 100%, VA of 80%, and VA of 20%
Inside DayOnly uses completed bars (high , low ) — ignores today's intraday bar.
Plots only after market close, not during the current session.
Designed for end-of-day screeners and alerts, reliable for after-hours analysis.
Smart Money Index (SMI) EnhancedSmart Money Index (SMI) Enhanced is an indicator that visualizes the behavior of "smart money" based on intraday price movements.
📌 Based on Don Hays’ classic formula:
SMI = Yesterday’s value – Morning movement + Late-day movement
🔍 Key Features:
Highlighted buy/sell zones for accumulation and distribution;
Alerts for crossovers between SMI and its moving average;
Supports multiple timeframes (hourly, daily, weekly).
✅ Useful for identifying institutional sentiment and potential market reversal points.
ℹ️ Works with stocks, indices, and cryptocurrencies.
This script is for educational purposes only and not financial advice.
Simplified STH-MVRVSTH-MVRV for MSTR
STH-MVRV compares the Market Value (current price × circulating supply) to the Realized Value (the total cost basis of coins held by short-term holders,
Inside DayCompares the current bar’s high and low to the previous day’s high and low.
Triggers when the current day is fully inside the prior day’s range.
Plots an orange label above the bar.
Trend Persistence Counter (TPC) by riskcipher🧭 Trend Persistence Counter (TPC) – A Simple Price Action Trend Duration Tool
Trend Persistence Counter (TPC) is a lightweight indicator that counts how long a trend persists after a breakout.
It is entirely based on price action, without using any moving averages or smoothing. The goal is to give a simple, rule-based view of trend continuity.
🧠 How It Works (Logic Overview)
This indicator switches between two modes: bullish and bearish.
If close > previous high, the counter enters bullish mode, and starts at +1
While in bullish mode:
If close >= previous low → continue the uptrend → +1 each bar
If close < previous low → trend ends → reset to 0, switch to bearish mode
If close < previous low, the counter enters bearish mode, and starts at -1
While in bearish mode:
If close <= previous high → continue the downtrend → -1 each bar
If close > previous high → trend ends → reset to 0, switch to bullish mode
This provides a bar-by-bar count of trend persistence based on whether price holds structure.
🎯 Use Cases
Track how long a trend continues after a breakout
Quickly detect when trend structure breaks
Help visually filter “strong” vs “weak” moves
Build logic-based alerts (e.g., trend continues for N bars)
🔍 Why Use This Instead of Traditional Indicators?
This is not meant to replace moving averages or trend filters.
But it offers some advantages for those who prefer structure-based logic:
Feature TPC
Based on Price Action ✅ Yes
Uses Lagging Filters ❌ No moving average or smoothing
Trend Duration Measurement ✅ Counts valid consecutive moves
Complexity ⚪ Very simple and transparent
It’s a simple concept and easy to understand, but still useful when combined with other tools or visualized on its own.
⚙️ Technical Notes
Works on any timeframe or instrument
The value is positive during bullish persistence, negative during bearish
Value resets to 0 when trend structure breaks
All logic is calculated bar-by-bar, in real time
✅ Example Usage Ideas
Highlight candles when TPC value crosses a certain threshold (e.g., strong breakout continuation)
Use the zero-cross as a potential reversal warning
Filter trend signals in your existing strategies
EMA Pullback System 1:5 RRR [SL]EMA Trend Pullback System (1:5 RRR)
Summary:
This indicator is designed to identify high-probability pullback opportunities along the main trend, providing trade signals that target a high 1:5 Risk/Reward Ratio. It is a trend-following strategy built for patient traders who wait for optimal setups.
Strategy Logic:
The system is based on three Exponential Moving Averages (EMAs): 21, 50, and 200.
BUY Signal:
Trend (Uptrend): The price must be above the 200 EMA.
Pullback: The price must pull back into the "Dynamic Support Zone" between the 21 EMA and 50 EMA.
Confirmation: A strong Bullish Confirmation Candle (e.g., Bullish Engulfing) must form within this zone.
SELL Signal:
Trend (Downtrend): The price must be below the 200 EMA.
Pullback: The price must rally back into the "Dynamic Resistance Zone" between the 21 EMA and 50 EMA.
Confirmation: A strong Bearish Confirmation Candle (e.g., Bearish Engulfing) must form within this zone.
Key Features:
Clearly plots the 21, 50, and 200 EMAs on the chart.
Displays BUY and SELL labels when the rules are met.
Automatically calculates and plots Stop Loss (SL) and Take Profit (TP) levels for each signal.
The Risk/Reward Ratio for the Take Profit level is customizable in the settings (Default: 1:5).
How to Use:
Best suited for higher timeframes like H1 and H4.
It is crucial to wait for the signal candle to close before considering an entry.
While this is an automated tool, for best results, combine its signals with your own analysis of Price Action and Market Structure.
Disclaimer:
This is an educational tool and not financial advice. Trading involves substantial risk. Always use proper risk management. It is essential to backtest any strategy before deploying it with real capital.
RS Triple MA Confluence Signal (Lower Pane)This indicator outputs a binary signal (1 or 0) based on triple moving average confluence of an asset’s relative strength vs a benchmark (e.g., SPY, BTC, etc).
✅ A value of 1 indicates full confluence, where the asset's relative strength is above three customizable moving averages (short, medium, and long).
❌ A value of 0 indicates confluence is off.
This version is designed to be used in a lower pane for:
Quick visual scanning
Dashboard-style layouts
Systematic filtering or alerting
Pairs perfectly with the main overlay tool:
👉 Relative Strength Triple MA Confluence
Use that version for candle coloring and price-level signals, and this version for clean signal tracking and screening support.
Relative Strength Triple MA ConfluenceThis tool highlights moments of strong outperformance based on three customizable moving averages of an asset's relative strength vs a benchmark (SPY, BTC, etc).
✅ Green candles + triangle-up icon appear when relative strength is above all 3 MAs (short, medium, long)
❌ Red triangle-down appears when full confluence is lost
🔧 Fully customizable MA types (EMA or SMA), lengths, and benchmark
Ideal for traders seeking high-conviction confirmation based on stacked RS strength.
RBD/DBR Zone HelperUpdated ORB that builds on prvious rendetions and forward thinkers to beat the retail markets
📊 Trend Table (EMA20/50) PROThis script displays a color-coded trend dashboard based on the relationship between the EMA 20 and EMA 50 moving averages across multiple timeframes:
🕐 1m, 5m, 15m, 1h, 4h.
📌 Features:
✅ Green = Bullish Trend (EMA20 > EMA50)
✅ Red = Bearish Trend (EMA20 < EMA50)
🎨 Fully customizable text and background color
📍 Selectable table position (left / center / right, top / bottom)
🔁 Auto-refreshes every few bars for real-time accuracy
📈 Use Case:
Perfect as a multi-timeframe trend dashboard for scalpers and swing traders – ideal for XAUUSD, US30, NAS100 and more. Helps you instantly assess trend alignment across key timeframes.
HTF 3rd Weekly High/LowThis indicator plots horizontal lines for the high and low of a selected past weekly candle, allowing traders to visualize higher time frame (HTF) structure on lower time frame charts (e.g., 1H, 4H, etc.).
Features:
Custom Weekly Range Selection: Use the dropdown to choose which weekly candle to reference — from the current week (0) to up to five weeks back.
Clean Horizontal Lines: High and low levels of the selected week are drawn as persistent horizontal lines.
Automatic Text Labels: Labels like Week-3H and Week-3L are shown on the right side of the chart, matching the week selected.
Customization:
Line colors
Line width and style (solid, dotted, dashed)
Text label offset
Automatic Refresh: Levels and labels are redrawn at the start of each new week to stay current with your selection.
Daily 10, 50, 150, 200 DMAIrrespective of the Chart, i.e be it weekly or monthly DMA will be displayed on Daily Values.
Do note that On a weekly chart, this gives you the DMA value from only one daily candle per week, usually Friday’s close. So if a DMA crossover (say, 10-DMA crossing 50-DMA) actually happens on Wednesday, you won’t see that reflected until Friday's value is displayed on the weekly chart. That causes crossover dates to appear wrong or delayed.
Relative Strength MA ConfluenceThis indicator highlights price candles when two custom moving averages of relative strength vs a benchmark (e.g., SPY or BTC) are both trending positively.
Full confluence: Occurs when the asset's relative strength is above both a short- and long-term MA (default: 21 & 50).
Green candles and a triangle-up icon mark when full confluence begins.
Red triangle-down marks when confluence is lost.
🔧 All settings — including MA type (SMA or EMA), lengths, benchmark symbol, and visual toggles — are fully customizable.
Ideal for swing traders seeking strong trend confirmation based on outperformance relative to a benchmark.
Benchmark Above MA SignalBenchmark Above MA Signal (Configurable Visual)
This tool provides a simple ON/OFF signal showing whether a selected benchmark asset (e.g., SPY, BTC, QQQ, etc.) is currently trading above a specified moving average.
🔧 Customizable Settings:
Choose the benchmark symbol
Set the timeframe (e.g., daily, 4H, weekly)
Select SMA or EMA type
Define the MA length (e.g., 21, 50, 200)
Pick between two display modes:
Stepline (default): plots a clean binary signal in the lower pane
Background Only: visually highlights confluence periods without a line plot
✅ Ideal for macro filters, trend confirmation, or dashboard-style layouts
📊 Common use case: staying aware of the daily trend of SPY while trading lower intraday timeframes
