10-Crypto Normalized IndexOverview
This indicator builds a custom index for up to 10 cryptocurrencies and plots their combined trend as a single line. Each coin is normalized to 100 at a user-selected base date (or at its first available bar), then averaged (equally or by your custom weights). The result lets you see the market direction of your basket at a glance.
How it works
For each symbol, the script finds a base price (first bar ≥ the chosen base date; or the first bar in history if base-date normalization is off).
It converts the current price to a normalized value: price / base × 100.
It then computes a weighted average of those normalized values to form the index.
A dotted baseline at 100 marks the starting point; values above/below 100 represent % performance vs. the base.
Key inputs
Symbols (10 max): Default set: BTC, ETH, SOL, POL, OKB, BNB, SUI, LINK, 1INCH, TRX (USDT pairs). You can change exchange/quote (keep all the same quote, e.g., all USDT).
Weights: Toggle equal weights or enter custom weights. Custom weights are auto-normalized internally, so they don’t need to sum to 1.
Base date: Year/Month/Day (default: 2025-06-01). Turning normalization off uses each symbol’s first available bar as its base.
Smoothing: Optional SMA to reduce noise.
Show baseline: Toggle the horizontal line at 100.
Interpretation
Index > 100 and rising → your basket is up since the base date.
Index < 100 and falling → down since the base date.
Use shorter timeframes for intraday sentiment, higher timeframes for swing/trend context.
Default basket & weights (editable)
Order: BTC, ETH, SOL, POL, OKB, BNB, SUI, LINK, 1INCH, TRX.
Default custom weight factors: 30, 30, 20, 10, 10, 5, 5, 5, 5, 5 (auto-normalized).
Base date: 2025-06-01.
Análise de Tendência
Smart Money Flow Index (SMFI) - This tool is useful for comparing price action with underlying money flow and spotting where smart money may be entering or exiting the market.
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version
Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses.
This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control.
In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage .
The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values.
◉ Volume Settings
• Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution.
• A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes.
• Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window.
◉ Bollinger Band
• Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA).
• Inputs allow control of length, standard deviation multiplier, and offset.
• The basis, upper, and lower bands are plotted, with a shaded background between them.
◉ Progress & Proximity
• Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus).
• “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%).
• A signed score (sScore) represents how far the close has moved above or below the basis relative to band width.
◉ Info Table
• Optional compact table summarizing:
• - Upper/lower band margins
• - Buyer/seller volumes with moving averages
• - Delta and cumulative delta
• - Buyer/seller ratios per bar and across the window
• - Money flow values (buy/sell/delta × price) for bar-level and summed periods
• The table is neutral-colored and resizable for different chart layouts.
◉ Zone Event Gate
• Tracks entry into and exit from “near band” zones.
• Arming logic: a side is armed when price enters a band proximity zone.
• Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window.
◉ Trading Logic
• Orders are placed only on zone-exit events, conditional on volume dominance.
• Position sizing is defined as a fixed percentage of strategy equity.
• Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance.
◉ Exit Rules
• Open positions are managed by a strict priority sequence:
• 1. Stop-loss (% of entry price)
• 2. Take-profit (% of entry price)
• 3. Opposite-side event (zone exit with dominance in the other direction)
• Stop-loss and take-profit levels are configurable
◉ Notes
• This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic.
• It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals.
When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
Momentum / RSI -> PROFABIGHI_CAPITAL🌟 Overview
This Momentum / RSI → PROFABIGHI_CAPITAL implements an innovative dual-indicator system combining momentum calculation with RSI analysis for enhanced market acceleration and deceleration detection.
It provides Momentum-based RSI calculation applying oscillator analysis to momentum values rather than direct price , Dual-display toggle system enabling switching between momentum and smoothed RSI visualization , Advanced multi-method smoothing with nine moving average options for RSI refinement , and Conditional visualization framework with context-appropriate reference lines and threshold levels for comprehensive momentum oscillator analysis.
🔧 Innovative Momentum-RSI Architecture
Professional momentum oscillator framework calculating price momentum and applying RSI analysis for enhanced acceleration detection
Momentum Period Configuration providing adjustable lookback period for momentum calculation balancing sensitivity versus stability
RSI-on-Momentum Implementation applying Relative Strength Index calculation to momentum values rather than direct price for unique market insight
RSI Length Management offering configurable RSI calculation period for momentum oscillator responsiveness adjustment
Display Mode Selection enabling toggle between momentum visualization and smoothed RSI display for flexible analysis approach
Extreme Level Configuration supporting custom overbought and oversold thresholds for momentum-based RSI signals
📊 Advanced Dual-Smoothing Framework
Nine Smoothing Methods supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive momentum-RSI refinement
Primary Smoothing Layer providing first-level momentum-RSI smoothing with configurable method selection and period adjustment
Secondary Smoothing Integration enabling additional smoothing layer with independent method and period configuration for enhanced signal clarity
VIDYA Volatility Adaptation implementing Variable Index Dynamic Average with volatility-based smoothing adjustment for market condition responsiveness
Advanced MA Calculations including DEMA and TEMA implementations for reduced lag and improved momentum signal quality
Comparison Mode Activation supporting dual-line analysis with crossover detection between different smoothing configurations
⚙️ Mathematical Implementation Framework
Momentum Calculation Engine using Pine Script momentum function for accurate price acceleration measurement over specified periods
RSI-on-Momentum Formula applying standard RSI calculation methodology to momentum values for oscillator-based acceleration analysis
VIDYA Implementation calculating volatility-adjusted smoothing factor with mathematical precision and boundary constraint management
DEMA Mathematical Framework implementing double exponential moving average with lag reduction for responsive momentum-RSI smoothing
TEMA Advanced Calculation using triple exponential moving average formulation for enhanced smoothing with minimal signal delay
Null Value Protection ensuring continuous calculation through proper handling of undefined values and mathematical edge cases
🔄 Dual-Display System Architecture
Mode Toggle Implementation providing seamless switching between momentum display and smoothed momentum-RSI visualization
Momentum Visualization Mode displaying raw momentum values with positive/negative color coding for immediate acceleration direction identification
RSI Visualization Mode showing smoothed momentum-RSI values with extreme level color coding for overbought/oversold condition detection
Conditional Plotting Logic ensuring only relevant indicators are displayed based on selected visualization mode for clean chart presentation
Context-Appropriate Reference Lines displaying zero line for momentum mode and RSI levels for oscillator mode automatically
Synchronized Color Systems maintaining consistent color schemes across different display modes for intuitive analysis
📈 Enhanced Signal Generation Logic
Momentum Direction Signals using green/red color coding for positive and negative momentum values indicating market acceleration direction
Extreme Level Detection identifying overbought conditions above extreme high threshold and oversold conditions below extreme low threshold
Dual-Smoothing Comparison generating crossover signals when first smoothed momentum-RSI crosses above or below second smoothed line
Color-Coded Momentum-RSI States displaying dark green for extreme overbought, dark red for extreme oversold, and gray for neutral zones
Crossover Signal Generation providing visual confirmation of momentum-RSI line intersections for enhanced signal validation
Signal Persistence Framework maintaining color states until opposing conditions develop for clear trend identification
🎨 Conditional Visualization Framework [/b>
Mode-Specific Reference Lines displaying zero line only during momentum mode and RSI threshold lines only during oscillator mode
Dynamic Color Assignment adapting line colors based on current indicator values and selected visualization mode
Momentum Zero Line showing horizontal reference at zero level with dashed styling for momentum direction assessment
RSI Threshold Lines displaying extreme high, extreme low, and middle reference levels with appropriate transparency
Comparison Mode Synchronization coordinating dual-line colors when secondary smoothing comparison is enabled
[b>Background Raw RSI Display optionally showing unsmoothed momentum-RSI when smoothing is applied for reference comparison
⚡ Performance Optimization Features [/b>
Conditional Computation calculating smoothed values only when RSI display mode is selected for computational efficiency
Efficient MA Switching using optimized switch statements for moving average method selection with minimal processing overhead
Memory Management implementing efficient variable usage and calculation sequences for real-time performance
Real-Time Updates providing immediate momentum and momentum-RSI values with dynamic color changes
[b>Error Prevention Framework incorporating validation and fallback mechanisms for reliable indicator operation across market conditions
Null Value Handling ensuring continuous calculation through proper mathematical validation and edge case management
🔍 Advanced Analysis Applications
Momentum Acceleration Detection identifying periods of increasing or decreasing price acceleration through momentum-RSI oscillator behavior
Divergence Analysis Opportunities comparing price action with momentum-RSI for potential reversal signal identification
Overbought/Oversold Momentum detecting extreme momentum conditions using RSI methodology for enhanced timing precision
[b>Crossover Strategy Implementation utilizing dual-smoothing crossovers for momentum-based entry and exit signal generation
Market Phase Identification [/b> recognizing acceleration, deceleration, and consolidation phases through momentum-RSI analysis
Multi-Timeframe Coordination [/b> supporting different period configurations for various trading styles and market analysis approaches
✅ Key Takeaways
Innovative momentum-RSI implementation applying oscillator analysis to momentum values for enhanced market acceleration detection
Dual-display system enabling seamless switching between momentum visualization and smoothed RSI analysis for flexible market assessment
Advanced multi-method smoothing supporting nine different moving averages with VIDYA volatility adaptation for optimal signal quality
Conditional visualization framework with mode-specific reference lines and context-appropriate threshold displays for clean analysis
Mathematical precision implementation using proper momentum calculation and RSI formulation with comprehensive error handling
Dual-smoothing comparison system enabling crossover analysis between independently configured momentum-RSI lines for enhanced signal generation
Performance-optimized design with conditional computation and efficient algorithms for real-time momentum oscillator analysis without performance impact
LQC GUIDED PATH - CONFIRMATION🎯 LQC GUIDED PATH - CONFIRMATION
Never Trade in the Wrong Direction Again!
🚦 REVOLUTIONARY PSYCHOLOGICAL COLOR SYSTEM:
✅ 🟢 GREEN PATH = GO LONG (Confirmed bullish bias)
✅ 🔵 BLUE PATH = GO SHORT (Confirmed bearish bias)
✅ 🟡 YELLOW PATH = WEAK SIGNAL (Wait for confirmation)
✅ ⚪ GRAY PATH = NEUTRAL (No clear direction)
✅ 🔴 RED BACKGROUND = DANGER ZONE (Near key levels - STOP!)
🛡️ MULTI-LAYER CONFIRMATION SYSTEM:
✅ Trend Confirmation - Dynamic EMA alignment
✅ Momentum Confirmation - RSI + MACD validation
✅ Volume Confirmation - Above-average volume surge
✅ Price Action Confirmation - Strong candle closes
✅ Key Level Protection - Daily/Premarket/Yesterday levels
⚠️ PEAK PROFIT PROTECTION:
✅ Tracks Maximum Profit Achieved
✅ Warns When Peak is Reached: “BEYOND THIS = YOUR RISK”
✅ Prevents Giving Back Gains
✅ One-Time Warning System
✅ Customizable Threshold Settings
🔑 KEY LEVELS INCLUDED:
✅ Daily High/Low - Orange dashed lines
✅ Premarket High/Low - Blue dotted lines
✅ Yesterday High/Low - Gray solid lines
✅ Overnight High/Low - Purple lines
✅ Automatic Danger Zone Detection
📊 CUSTOMIZABLE DASHBOARD:
✅ 6 Position Options (Top/Bottom/Middle Left/Right)
✅ 4 Size Options (Tiny/Small/Normal/Large)
✅ Complete ON/OFF Control
✅ Real-Time Status Updates
✅ Confirmation Counter (X/3 CONFIRMED)
🎛️ ADAPTIVE SENSITIVITY
[DEM] Relative Strength Signal (With Backtesting) Relative Strength Signal (With Backtesting) is a momentum indicator that generates trading signals based on when an asset reaches its highest or lowest relative strength compared to the SPY benchmark over a 20-period lookback window. The indicator calculates relative strength by dividing the current asset's price by SPY's price, then triggers buy signals when this ratio hits a 20-period high (indicating maximum outperformance) and sell signals when it reaches a 20-period low (indicating maximum underperformance). To prevent signal clustering and improve practical utility, the indicator includes a built-in filter that requires a minimum number of bars (default 20) to pass between signals of the same type, ensuring adequate spacing for meaningful trade opportunities. The system includes comprehensive backtesting functionality that tracks signal accuracy, average returns, and signal frequency over time, displaying these performance metrics in a detailed statistics table to help traders evaluate the effectiveness of trading on relative strength extremes versus the broader market.
[DEM] Parabolic SAR Bars (PSAR Bars) Parabolic SAR Bars is a visual enhancement of the traditional Parabolic SAR indicator that uses dynamic color coding to represent the relative position and momentum of price versus the SAR levels. The indicator calculates the percentage difference between the closing price and the Parabolic SAR value, then applies either a gradient color scheme that transitions from red to blue based on the relative strength within a 20-period range, or a momentum-based coloring system using purple, blue, and red to indicate directional changes. Both the SAR plot points and the price bars themselves are colored according to this system, creating an intuitive visual representation where traders can quickly assess not just whether price is above or below the SAR, but also the strength and momentum of that relationship. This approach transforms the binary nature of traditional Parabolic SAR signals into a more nuanced visual tool that helps identify the intensity of trending conditions and potential momentum shifts before actual SAR reversals occur.
[DEM] Multi-RSI Signal (With Backtesting) Multi-RSI Signal (With Backtesting) is a technical indicator that generates buy signals based on multiple RSI (Relative Strength Index) timeframes simultaneously reaching oversold conditions. The indicator monitors RSI values across seven different periods (2, 3, 4, 5, 6, 8, 25, 50, and 100) and triggers a buy signal only when all shorter-term RSIs (2-8 periods) drop below specific thresholds (mostly below 10-20) while longer-term RSIs (25, 50, 100) remain within defined ranges, indicating a confluence of oversold conditions across multiple timeframes. The system includes comprehensive backtesting capabilities that track signal accuracy, average returns, and signal frequency over time, displaying these performance metrics in a real-time statistics table. Unlike typical single-RSI approaches, this multi-timeframe methodology aims to filter out false signals by requiring alignment across various RSI periods, though it currently only generates buy signals with no corresponding sell signal logic implemented.
[DEM] Moving Average Signal (With Backtesting) Moving Average Signal (With Backtesting) is designed to generate buy and sell signals using a highly configurable moving average system with over 20 different moving average types (including EMA, SMA, HMA, ALMA, McGinley, TRAMA, and others) combined with dynamic upper and lower bands based on standard deviation or ATR multipliers. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting the moving average with upper and lower bands while coloring bars green when price is above the upper band, red when below the lower band, and purple when between the bands. The strategy generates buy signals when price crosses above the upper band after being below it for one bar but above it for the previous three bars (indicating a breakout after brief consolidation), and sell signals under opposite conditions with the lower band, creating a momentum-based system that filters for sustained moves beyond the moving average envelope while offering extensive customization options and integrated backtesting metrics.
[DEM] Momentum Supertrend Signal (With Backtesting) Momentum Supertrend Signal (With Backtesting) is designed to generate buy and sell signals by combining SuperTrend trend analysis with consecutive price momentum patterns and timing filters to identify high-probability entry points with reduced signal frequency. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when price shows three consecutive closes higher than the previous close while the SuperTrend indicates a bullish trend (direction = -1), with an additional requirement that at least 5 bars have passed since the last buy signal, while sell signals are triggered when price shows three consecutive lower closes during a SuperTrend bearish trend (direction = 1) with the same 5-bar spacing requirement, creating a momentum-confirmation system that filters for sustained directional movement while preventing excessive signal generation through integrated timing controls and backtesting analysis.
[DEM] Klinger Signal (With Backtesting) Klinger Signal (With Backtesting) is designed to generate buy and sell signals based on the Klinger Volume Oscillator, which combines price movement direction with volume flow to identify potential trend changes and momentum shifts. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy calculates signed volume (positive when HLC3 rises, negative when it falls), applies dual EMA smoothing with configurable fast and slow periods (default 34 and 55), creates a signal line using additional EMA smoothing (default 13 periods), then generates buy signals when the signal line crosses above its own EMA-smoothed version and sell signals on the opposite crossover, combining volume analysis with price momentum to identify institutional money flow changes while tracking signal accuracy, average returns, and frequency through integrated backtesting metrics.
[DEM] Ichimoku Bars Ichimoku Bars is designed to color price bars based on their relationship to the Ichimoku Cloud (Kumo) by comparing the current close price to both Leading Span A and Leading Span B from the traditional Ichimoku system, but with added smoothing modifications. The indicator calculates the standard Ichimoku components using Donchian midlines for the Conversion and Base lines, then creates smoothed versions of Leading Span A (20-period RMA of the average between Conversion and Base lines) and Leading Span B (20-period RMA of the 52-period Donchian midline), both displaced forward by the lagging span period. Bars are colored green when price is above both leading spans (indicating strong bullish conditions above the cloud), red when price is below both leading spans (indicating strong bearish conditions below the cloud), and magenta when price is within the cloud (indicating neutral or transitional conditions), providing traders with immediate visual feedback about price position relative to the Ichimoku equilibrium zone.
[DEM] Heikin Ashi Barcolors Heikin Ashi Barcolors is designed to apply smoothed Heikin Ashi calculations to regular candlestick charts and color the price bars based on the resulting Heikin Ashi trend direction to reduce market noise and provide clearer visual trend identification. The indicator first applies EMA smoothing to the standard OHLC values, then calculates Heikin Ashi values using the traditional formulas (averaged close, modified open based on previous values, and adjusted high/low), and applies an additional layer of EMA smoothing to the Heikin Ashi results. The bars are colored teal when the smoothed Heikin Ashi close is above the smoothed Heikin Ashi open (indicating bullish conditions) and red when the close is below the open (indicating bearish conditions), effectively transforming the visual appearance of regular candlesticks to reflect the smoother, trend-following characteristics of Heikin Ashi methodology while maintaining the original price structure.
[DEM] Four RMA Signal (With Backtesting) Four RMA Signal (With Backtesting) is designed to generate buy and sell signals based on a hierarchical alignment of four Rolling Moving Averages (RMA) with periods of 200, 300, 400, and 500, combined with price action confirmation through the fastest RMA line. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when all four RMAs are aligned in ascending order (200>300>400>500, indicating strong bullish momentum across multiple timeframes) and the low crosses above the 200-period RMA, while sell signals are triggered when the RMAs are aligned in descending order (200<300<400<500, indicating strong bearish momentum) and the high crosses below the 200-period RMA, ensuring signals only occur during periods of confirmed long-term directional bias with immediate price confirmation through the fastest moving average.
[DEM] Fair Value Gaps Fair Value Gaps is designed to identify and visualize institutional Fair Value Gaps (FVGs) on the price chart by detecting three-candle patterns where a significant price gap exists between non-adjacent candles, indicating areas where price moved too quickly and left behind unfilled liquidity zones. The indicator identifies bullish FVGs when the current low exceeds the high from two bars ago by more than a configurable ATR multiplier (default 1.1), and bearish FVGs when the low from two bars ago exceeds the current high by the same threshold, ensuring only significant gaps are marked. When detected, the indicator draws semi-transparent boxes around the gap areas with midline references, colors the chart background green for bullish gaps and red for bearish gaps, and maintains these visual markers as potential support/resistance levels where institutional traders may look to fill orders, helping traders identify key price levels where future reversals or continuations might occur.
[DEM] Engulfing Candlestick Identifier Engulfing Candlestick Identifier is designed to automatically detect and highlight bullish and bearish engulfing candlestick patterns by analyzing the relationship between consecutive candles and applying ATR-based size filters to ensure significant pattern validity. The indicator identifies bullish engulfing patterns when the current candle closes above the previous candle's open, opens below the previous candle's close, and both candles meet minimum size requirements based on ATR thresholds, while bearish engulfing patterns are detected under opposite conditions. The indicator colors bars green for bullish engulfing patterns, red for bearish engulfing patterns, and optionally purple for all other bars when the "Different Color" setting is enabled, helping traders quickly identify potential reversal signals where one candle completely engulfs the body of the previous candle with sufficient magnitude to suggest meaningful momentum shifts.
[DEM] EMA Cloud & Bars EMA Cloud & Bars is designed to provide visual trend analysis by combining two exponential moving averages of different lengths (default 50 and 150) with both a color-coded cloud fill and optional bar coloring to identify market conditions. The indicator plots the two EMAs as semi-transparent lines and fills the area between them with blue when the shorter EMA is above the longer EMA (indicating bullish conditions) or red when the shorter EMA is below the longer EMA (indicating bearish conditions). Additionally, it colors price bars green when price is above the shorter EMA and the shorter EMA is above the longer EMA (strong bullish alignment), red when price is below the shorter EMA and the longer EMA is above the shorter EMA (strong bearish alignment), and purple for all other conditions, providing traders with multiple visual cues for trend direction and strength while offering toggleable options for both the cloud display and bar coloring features.
[DEM] Sequential Label Sequential Label is designed to display sequential counting methodology directly on the price chart by placing dynamic labels below each bar that show the current Sequential count value. The indicator implements a sequential system by tracking consecutive closes above or below the close from four periods ago, calculating separate upward and downward sequences, then displaying the net difference as a numbered label with color-coded backgrounds (green for positive/bullish counts, red for negative/bearish counts). Each label shows the absolute value of the current Sequential position and automatically updates and repositions with each new bar, providing traders with a real-time visual representation of momentum exhaustion cycles and potential reversal points according to sequential methodology without cluttering the chart with permanent markings.
Blueprint Signals ProBlueprint Signals Pro is an advanced, all-in-one trading indicator designed for TradingView, built to provide high-quality buy/sell signals across various markets including cryptocurrencies, U.S. stocks, Indian indices, forex, and more. 📈 It leverages a proprietary ATR-based trailing stop mechanism combined with AI-optimized profiles for different trading styles (scalping, intraday, swing, and position trading) to generate reliable signals on bar close.
Key Features:
📊 Market Optimization: Tailored options for specific markets like Cryptocurrency (high volatility, 24/7 trading), U.S. Stocks (regulated exchanges, standard hours), Indian Indices (local dynamics like NIFTY), and Forex (high liquidity, global influences) to customize parameters and enhance signal accuracy.
🎨 Theme & Palette Customization: Supports dark/light chart themes with multiple color palettes for visual appeal.
🤖 Trading Profiles: Pre-built AI profiles like "Edge Signal", "Flash Signal", "Trend Rider", etc., tailored to your timeframe and style.
🔍 Signal Filters: Bullish/Bearish modes to focus on one-sided signals, with adjustable candle opacity.
🛡️ Support/Resistance Zones: Dynamic S/R levels with auto-adjusting lookback and wick warning markers for potential reversals.
⚠️ Swing Pattern Failure (SPF): Detects failure patterns with volume and wick filters for early reversal alerts.
🚨 Warnings: Proximity and wick-touch alerts on the trailing stop to signal momentum loss or trend challenges.
💡 Premium/Discount Zones: Neon-style P&D zones with glow effects to identify overvalued/undervalued areas.
📉 Custom Moving Averages: Up to 3 configurable MAs (EMA/SMA/WMA/HMA) with theme-based colors.
⚙️ Core Parameters: Manual/auto-tuning for scaling factor, period, min move filter, and anti-chop sensitivity.
⭐ Confidence Rating: Scores signals (Weak/Moderate/Strong) based on trend, S/R proximity, and volume.
🎯 SL/TP Levels: Displays stop loss (ATR trail, swing, or fixed ATR) and multiple take profits with R:R ratios, extendable lines, and zone fills. Additionally, clearly shows captured points/pips (e.g., +50 pts) and potential profit in points/pips/₹ for each level, making risk-reward analysis straightforward and visible on the chart.
🖥️ Display Options: Toggle trailing stop, text on signals, and more.
📅 Dashboard: Multi-timeframe overview with trend intelligence (using ADX), confidence, and candle timer.
🔔 Alerts: Configurable for buy/sell signals with detailed messages.
Usage Guidelines:
Select your market, theme, and trading style from the inputs.
Use on any timeframe; auto-adjusts for optimal performance.
Signals are confirmed on bar close to avoid repainting.
Combine with your risk management; backtest thoroughly.
This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Trade at your own risk. © 2025 Raza | Blueprint Signals. All Rights Reserved.
[DEM] Sequential Identifying Table Sequential Identifying Table is designed to monitor Sequential methodology across up to 20 customizable symbols simultaneously, displaying buy and sell signals in a comprehensive dashboard format overlaid on the price chart. The indicator implements a sequential counting system, which tracks consecutive closes above or below the close from four periods ago, generating buy signals when a downward sequence reaches 8 (indicating potential exhaustion and reversal upward) and sell signals when an upward sequence reaches 8 (indicating potential exhaustion and reversal downward). The table displays each symbol with color-coded backgrounds (green for buy signals, red for sell signals, gray for no signal) and corresponding signal text, operating on a selectable timeframe from 1-minute to monthly intervals, allowing traders to quickly scan multiple assets for sequential setups without switching between different charts or timeframes.
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.
