Liquidation Strategy📈 It enters a long trade when long liquidation spikes above a set threshold.
📉 It enters a short trade when short liquidation drops below the negative threshold.
🧮 It optionally filters entries using an EMA multiplier.
🔁 It exits long when RSI crosses below its smoothed version.
🔄 It exits short when RSI crosses above its smoothed version.
🔗 It requires linking to the Liquidations indicator on Bybit or OKX charts.
Oscillators
Chimera [theUltimator5]In myth, the chimera is an “impossible” hybrid—lion, goat, and serpent fused into one—striking to look at and formidable in presence. The word has come to mean a beautiful, improbable union of parts that shouldn’t work together, yet do.
Chimera is a dual-mode market context tool that blends a multi-input oscillator with classic ADX/DI trend strength, plus optional multi-timeframe “gap-line” tracking. Use it to visualize regime (trend vs. range), momentum swings around an adaptive midline, and higher timeframe (HTF) reference levels that auto-terminate on touch/cross.
Modes
1) Oscillator view
A smoothed composite of five common inputs—RSI, MACD (oscillator), Bollinger position, Stochastic, and an ATR/DI-weighted bias. Each is normalized to a comparable 0–100 style scale, averaged, and plotted as a candle-style oscillator (short vs. long smoothing, wickless for clarity). A dynamic midline with standard-deviation bands frames neutral → bearish/bullish zones. Colors ramp from neutral to your chosen Oversold/Overbought endpoints; consolidation can override to white.
Here is a description of the (5) signals used to calculate the sentiment oscillator:
RSI (14): Measures recent momentum by comparing average gains vs. losses. High = strength after advances; low = weakness after declines. (Z-score normalized to 0–100.)
MACD oscillator (12/26/9): Uses the difference between MACD and its signal (histogram) to gauge momentum shifts. Positive = bullish tilt; negative = bearish. (Z-score normalized.)
Bollinger Bands position (20, 2): Locates price within the bands (0–100 from lower → upper). Near upper suggests strength/expansion; near lower suggests weakness/contraction. (Then normalized.)
Stochastic (14, 3, 3): Shows where the close sits within the recent high-low range, smoothed via %D. Higher values = closes near highs; lower = near lows. (Scaled 0–100.)
ATR/DI composite (14): Volatility-weighted directional bias: (+DI − −DI) amplified by ATR as a % of price and its relative average. Positive = bullish pressure with volatility; negative = bearish. (Rank/scale normalized.)
All five are normalized and averaged into one composite, then smoothed (short/long) and compared to an adaptive midline with bands.
2) ADX view
Shows ADX, +DI, –DI with user-defined High Threshold. Transparency and color shift with regime. When ADX is strong, a directional “fire/ice” gradient fills the area between ADX and the high threshold, biased toward the dominant DI; when ADX is weak, a soft white fade highlights low-trend conditions.
HTF gap-line tracking (optional; both modes)
Detects “gap-like” reference levels after weak-trend consolidation flips into a sudden DI jump.
Anchors a line at the event bar’s open and auto-terminates upon first touch/cross (tick-size tolerance).
Auto-selects up to three higher timeframes suited to your chart resolution and prints non-overlapping lines with labels like 1H / 4H / 1D. Lower-priority duplicates are suppressed to reduce clutter.
Confirmation / repaint notes
Signals and lines finalize on bar close of the relevant timeframe.
HTF elements update only on the HTF bar close. During a forming bar they may appear transiently.
Line removal finalizes after the bar that produced the touch/cross closes.
Visual cues & effects
Oscillator candles: Open/High = long smoothing; Low/Close = short smoothing (no wicks).
Adaptive bands: Midline ± StdDev Multiplier × stdev of the blended series.
Consolidation tint: Optional white backdrop/candles when the consolidation condition is true (balance + low ADX).
Breakout VFX (optional): With strong DI/ADX and Bollinger breaks, renders a subtle “fire” flare above upper-band thrusts or “ice” shelf below lower-band thrusts.
Inputs (high-level)
Visual Style: Oscillator or ADX.
General (Oscillator): Lookback Period, Short/Long Smoothing, Standard Deviation Multiplier.
Color (Oscillator): Oversold/Overbought colors for gradient endpoints.
Plot (Oscillator): Show Candles, Show Slow MA Line, Show Individual Component (RSI/MACD/BB/Stoch/ATR).
Table (Oscillator): Show Information Table & position (compact dashboard of component values + status).
ADX / Gaps / VFX (both modes): ADX High Threshold, Highlight Backgrounds, Show Gap Labels, Visual Overlay Effects, and color choices for current-TF & HTF lines.
HTF selection: Automatic ladder (3 tiers) based on your chart timeframe.
Alerts (built-in)
Buy Signal – Primary: Oscillator exits oversold.
Sell Signal – Primary: Oscillator exits overbought.
Gap Fill Line Created (Any TF)
Gap Fill Line Terminated (Any TF)
ADX Crossed ABOVE/BELOW Low Threshold
ADX Crossed ABOVE/BELOW High Threshold
Consolidation Started
Alerts evaluate on the close of the relevant timeframe.
How to read it (quick guide)
Pick your lens: Oscillator for blended momentum around an adaptive midline; ADX for trend strength and DI skew.
Watch extremes & mean re-entries (Oscillator): Approaches to the top/bottom band show persistent momentum; returns toward the midline show normalization.
Check regime (ADX): Below Low = low-trend; above High = strong trend, with “fire/ice” bias toward +DI/–DI.
Track gap lines: Fresh labels mark new reference levels; lines auto-remove on first interaction. HTF lines add context but finalize only on HTF close.
The uniqueness from this indicator comes from multiple areas:
1. A unique multi-timeframe algorithm detects gap fill zones and plots them on the chart.
2. Visual effects for both visual modes were hand crafted to provide a visually stunning and intuitive interface.
3. The algorithm to determine sentiment uses a unique blend of weight and sensitivity adjustment to create a plot with elastic upper and lower bounds based off historical volatility and price action.
[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] Multiple Linear Regression Score Multiple Linear Regression Score is a composite momentum indicator that evaluates market conditions by analyzing a reference symbol (defaulting to NDX) across multiple technical dimensions and combining them into a single predictive score. The indicator processes ten different technical variables including RSI, MACD components (line, signal, and histogram), price relationships to various moving averages (10, 50, 100, 200), and short-term price changes (1-day and 5-day), converting most into binary signals (1 or 0) based on whether they're above or below zero. These binary and continuous inputs are then weighted using regression-derived coefficients and combined into a final percentage score that oscillates around zero, with the indicator also calculating a 20-period standard deviation of the score to measure volatility. This approach creates a data-driven sentiment gauge that quantifies the overall technical health of the reference market by mathematically weighting the importance of each technical factor based on historical relationships.
[DEM] Multi-Symbol Relative Strength Index Multi-Symbol Relative Strength Index is a comparative analysis indicator that simultaneously displays RSI values for five different symbols (defaulting to major tech stocks NVDA, MSFT, AAPL, AMZN, and GOOG) on a single chart pane. The indicator plots each symbol's RSI as colored lines with standard overbought (70) and oversold (30) reference levels, allowing traders to quickly compare relative momentum across multiple assets. A key feature is the dynamic background coloring that highlights which symbol currently has the extreme RSI value (either highest or lowest, depending on user selection), making it easy to identify which stock is showing the most extreme momentum condition at any given time. The indicator includes a legend table displaying all tracked symbols with their corresponding colors, and the background fill between the 30-70 RSI levels provides clear visual reference for overbought and oversold zones across all symbols simultaneously.
[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] Momentum Bars Momentum Bars is designed to color price bars based on a combination of Aroon oscillator analysis and RSI momentum to identify periods of strong directional bias and filter out choppy or indecisive market conditions. The indicator calculates the Aroon Up and Aroon Down values over a configurable period (default 20) to determine which direction has more recent strength, then combines this with RSI analysis using the same period to confirm momentum alignment. Bars are colored green when Aroon Up exceeds Aroon Down (indicating recent highs dominate) and RSI is above 50 (confirming bullish momentum), red when Aroon Down exceeds Aroon Up (indicating recent lows dominate) and RSI is below 50 (confirming bearish momentum), and purple for all other conditions where the Aroon and RSI signals are conflicting or neutral, providing traders with immediate visual feedback about when price momentum and recent high/low activity are aligned versus when market conditions are mixed.
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.
[DEM] Confirmation Signal (With Backtesting) Confirmation Signal (With Backtesting) is designed to generate buy and sell signals by combining Aroon oscillator analysis with Parabolic SAR positioning, smoothed EMA trend confirmation, and RSI filtering to create high-confidence trading opportunities. 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 while also coloring bars based on market conditions (green for bullish confirmation, red for bearish confirmation, purple for neutral). The strategy generates buy signals when the Aroon Up reaches 100% (new highs) combined with bullish trend confirmations, proper SAR positioning, RSI filters, and adequate time spacing between signals, while sell signals are triggered under opposite conditions, emphasizing signal quality over quantity through multiple confirmation layers and integrated backtesting metrics.
[DEM] Combo Signal (With Backtesting) Combo Signal (With Backtesting) is designed to generate buy and sell signals by combining seven different trading strategies that incorporate multiple technical indicators including SuperTrend, Parabolic SAR, MACD, and RSI. 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 triggers buy signals when any of seven long conditions are met (including ATR-based reversal patterns, SuperTrend confirmations, RSI oversold crossovers, MACD bullish crossovers, and SuperTrend line breaks), while sell signals are generated when any of the corresponding seven short conditions occur, creating a multi-faceted approach that aims to capture various market conditions and trading opportunities while tracking signal accuracy, average returns, and signal frequency through its integrated backtesting system.
[Futures OI vs Price Change] (% Change)╔═══════════════════ RUBIXCUBE ══════════════════════╗
This indicator analyses the relationship between Open Interest percentage changes and price percentage changes in futures markets. Inspired by Checkonchain's market structure analysis, it displays this data as coloured column bars to identify different market conditions.
What This Indicator Shows
The indicator plots Open Interest percentage change as column bars, with colours representing four market regimes:
- Blue (Leveraged Rally): OI increases + Price increases (New leveraged long positions)
- Green (Spot Rally): OI decreases + Price increases (Organic buying or short covering)
- Orange (Leveraged Sell-Off): OI increases + Price decreases (New short positions or long liquidations)
- Red (Deleveraging Sell-Off): OI decreases + Price decreases (Position unwinding)
Bar transparency changes based on price movement magnitude. Larger price changes result in more solid bars, while smaller moves appear more transparent.
Data Sources
Aggregated Open Interest data from multiple exchanges:
- Binance USDT, USD & BUSD Perpetuals
- BitMEX USD & USDT Perpetuals
- Kraken USD Perpetuals
Settings
- OI % Change SMA: Smoothing period for Open Interest changes (Default: 7)
- Price % Change SMA: Smoothing period for price changes (Default: 7)
- Base Transparency: Baseline transparency level (0-100)
- Transparency Sensitivity: How much price change affects bar transparency
- Exchange Toggles: Enable/disable individual exchange data
Usage
This indicator helps identify market structure by showing whether price moves are accompanied by increasing or decreasing leveraged positions. Blue and orange bars indicate new leverage entering the market, while green and red bars suggest position reduction or organic spot activity.
╚═════════════════════════════════════════════════╝
RSI Trend Navigator [QuantAlgo]🟢 Overview
The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions.
🟢 How It Works
The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information:
rsiValue = ta.rsi(source, rsiPeriod)
smoothedRSI = ta.ema(rsiValue, rsiSmoothing)
normalizedRSI = (smoothedRSI - 50) / 50
It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint:
adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1)
This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions:
var float adaptiveTrend = source
adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source)
The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling:
rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity
rsiTrendValue = adaptiveTrend + rsiAdjustment
ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning:
atr = ta.atr(atrPeriod)
deviation = atr * atrMultiplier
upperBound = rsiTrendValue + deviation
lowerBound = rsiTrendValue - deviation
The trend line positioning uses these band constraints to determine its final value:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
if trendUp
isBullish := true
isBearish := false
else if trendDown
isBullish := false
isBearish := true
The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning.
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions
Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions
Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit
Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
RSI -> PROFABIGHI_CAPITAL🌟 Overview
This RSI → PROFABIGHI_CAPITAL implements an advanced Relative Strength Index with sophisticated dual-layer smoothing capabilities and enhanced visualization for superior momentum analysis and overbought/oversold identification.
It provides Multi-method smoothing system supporting nine different moving average types for RSI refinement , Dual-smoothing architecture enabling comparison between two independently configured smoothed RSI lines , VIDYA volatility-adaptive smoothing for dynamic market condition responsiveness , and Enhanced visual framework with color-coded signals and customizable extreme level zones for comprehensive momentum oscillator analysis.
🔧 Advanced RSI Configuration Framework
- Professional RSI implementation with customizable price source selection and adjustable calculation periods for different market sensitivities
- RSI Source Selection enabling close, high, low, or other price inputs for flexible momentum calculation adaptation
- RSI Length Configuration providing adjustable calculation periods balancing responsiveness versus smoothness for different trading styles
- Extreme Level Management offering configurable overbought and oversold thresholds for personalized signal generation
- VIDYA Volatility Integration using Variable Index Dynamic Average with configurable volatility lookback for adaptive smoothing
- Precision Controls supporting price formatting and decimal precision for accurate momentum measurement display
📊 Multi-Method Smoothing Engine
- Nine Smoothing Options supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA methods for comprehensive RSI refinement
- First Layer Smoothing providing primary RSI smoothing with configurable method selection and period adjustment for noise reduction
- Second Layer Smoothing enabling additional smoothing layer with independent method and period configuration for enhanced signal clarity
- Advanced Moving Averages implementing DEMA and TEMA calculations for reduced lag and improved responsiveness
- Hull Moving Average Integration offering HMA smoothing for optimal balance between smoothness and responsiveness
- Linear Regression Smoothing providing LSMA option for trend-following RSI interpretation with mathematical precision
- VIDYA Implementation using volatility-adjusted smoothing that adapts to market conditions automatically
🔄 Dual-Smoothing Comparison System
- Independent Smoothing Layers allowing separate configuration of two different smoothing methods and periods for RSI comparison
- Comparison Mode Activation enabling dual-line display with crossover analysis for enhanced signal generation
- Color-Coded Relationship using green coloring when first smoothed RSI is below second smoothed RSI and red when above
- Crossover Signal Generation providing visual cues for momentum shifts through smoothed RSI line intersections
- Flexible Configuration supporting any combination of smoothing methods for customized momentum analysis
- Signal Validation Framework using dual-smoothing agreement for higher-confidence momentum signals
📈 VIDYA Volatility-Adaptive Implementation
- Volatility Measurement System calculating standard deviation of RSI values over configurable lookback periods for market condition assessment
- Adaptive Smoothing Factor automatically adjusting smoothing intensity based on current market volatility levels
- Alpha Coefficient Calculation using mathematical formulation for optimal smoothing factor determination
- K-Factor Integration implementing volatility ratio for dynamic smoothing adjustment with boundary constraints
- Mathematical Precision ensuring proper VIDYA calculation through error handling and edge case management
- Market Condition Responsiveness providing more smoothing during calm markets and less during volatile periods
🎨 Enhanced Visual Framework
- Dynamic Color Coding System using dark green for extreme overbought conditions, dark red for extreme oversold conditions, and gray for neutral zones
- Dual-Line Visualization displaying primary smoothed RSI with prominent line width and secondary smoothed RSI with thinner reference line
- Comparison Mode Coloring implementing synchronized green/red coloring for both lines based on their relative positions
- Background Raw RSI Display showing unsmoothed RSI as subtle background reference when smoothing is applied
- Extreme Zone Highlighting filling area between overbought and oversold levels with subtle background color for clear zone identification
- Reference Line Framework displaying horizontal lines for extreme high, extreme low, and middle levels with customizable transparency
⚙️ Advanced Signal Generation Logic
- Single-Line Mode Signals generating color-coded momentum signals based on smoothed RSI crossing extreme overbought and oversold thresholds
- Comparison Mode Signals creating crossover-based signals when first smoothed RSI crosses above or below second smoothed RSI
- Extreme Level Detection identifying when smoothed RSI enters overbought territory above extreme high threshold or oversold territory below extreme low threshold
- Momentum Shift Recognition highlighting transitions between bullish and bearish momentum states through color changes
- Signal Persistence Tracking maintaining color states until opposing conditions develop for clear trend identification
- Neutral Zone Management displaying gray coloring when RSI remains between extreme thresholds indicating consolidation periods
🔍 Mathematical Implementation Framework
- RSI Calculation Accuracy using Pine Script's built-in RSI function for precise momentum oscillator computation
- DEMA Mathematical Formula implementing double exponential moving average calculation with proper lag reduction methodology
- TEMA Advanced Calculation using triple exponential moving average formulation for enhanced smoothing with minimal lag
- Null Value Protection ensuring continuous calculation through proper handling of undefined values and edge cases
- Smoothing Fallback Logic providing raw RSI values when smoothing calculations encounter mathematical issues
- Precision Maintenance preserving calculation accuracy across different smoothing methods and market conditions
📊 Professional Display Features
- Configurable Extreme Levels supporting custom overbought and oversold threshold settings for different market environments
- Middle Reference Line displaying 50-level dotted line for momentum direction and strength assessment
- Transparency Controls using appropriate transparency levels for background elements and reference lines
- Line Weight Hierarchy implementing visual hierarchy through different line weights for primary and secondary elements
- Zone Fill Visualization providing subtle background fill between extreme levels for immediate zone identification
- Raw RSI Background Reference showing original unsmoothed RSI when smoothing is applied for comparison purposes
⚡ Performance Optimization Features
- Conditional Plotting displaying elements only when relevant smoothing options are enabled for chart performance
- Efficient Calculation Methods using optimized mathematical formulations for real-time smoothing computation
- Memory Management implementing efficient variable usage and calculation sequences for minimal resource consumption
- Real-Time Updates providing immediate smoothed RSI values and color changes with each new price bar
- Error Prevention Framework incorporating validation and fallback mechanisms for reliable indicator operation
- Timeframe Compatibility supporting multiple timeframe analysis with proper gap handling and data continuity
✅ Key Takeaways
- Advanced RSI implementation with sophisticated dual-layer smoothing using nine different moving average methods for enhanced momentum analysis
- VIDYA volatility-adaptive smoothing providing automatic market condition responsiveness for optimal signal quality in different environments
- Dual-smoothing comparison system enabling crossover analysis between two independently configured smoothed RSI lines for enhanced signal generation
- Professional visualization framework with dynamic color coding, extreme zone highlighting, and configurable reference levels for immediate analysis
- Mathematical precision implementation using proper DEMA, TEMA, and VIDYA calculations with comprehensive error handling and edge case management
- Flexible configuration options supporting different trading styles and market conditions through customizable smoothing methods and extreme level thresholds
- Performance-optimized design with conditional plotting and efficient calculations for real-time momentum analysis without chart performance impact
ma btc Multiple MA Convergence Alertbtc and eth ma15 20 50 200if converge
alert("EMA15, MA20, MA50, MA200 are converging/overlap crossing!", alert.freq_once_per_bar_close)
KML ALGO v6 – Elite Trading Bot🚀 KML ALGO v6 – Elite Trading Bot by Ahmad Shoaib Kamal
💎 PREMIUM FEATURES
• Advanced ATR Trailing Stop engine
• Multi-Layer Smart Filters (RSI, MACD, Stochastic, Volume, Trend)
• Intelligent Scoring for high-accuracy entries
• Universal: Works on all markets & timeframes
• Live Performance Dashboard
• Professional Alert System ready for automation
⚡ WHY TRADERS LOVE IT
✅ Filters out false signals with 5-step validation
✅ Adapts instantly to changing market conditions
✅ Clean, color-coded interface for fast decision-making
✅ Real-time metrics and stats
✅ Fully customizable to your strategy
✅ Works on Crypto, Forex, Stocks, Indices
🎯 PERFECT FOR
• Day traders seeking pinpoint entries/exits
• Swing traders needing trend confirmation
• Automated trading setups
• Professional portfolio managers
⚙️ CUSTOM SETTINGS
• Adjustable signal sensitivity
• ATR period configuration
• Enable/disable any filter
• Fine-tune parameters for your style
• Heikin Ashi support for cleaner trends
🎨 VISUAL EXCELLENCE
• Dynamic trailing stop lines
• Clear BUY/SELL markers
• Weak signal indicators
• Live stats table
• Smart alerts ready for TradingView’s system
⭐ DEVELOPED BY: Ahmad Shoaib Kamal
🔥 Battle-tested algorithm with real results
💰 Invite-Only Access – Apply to Unlock
📩 Contact for Access & Support:
Email: kmlalgorithms@gmail.com
Telegram: @+15876671119
⚡ Trade with precision, confidence, and zero guesswork – only clarity.
CM_Williams_Vix_Fix (v5) + Optional InverseCM_Williams_Vix_Fix (v5) + Optional Inverse
This indicator is a modernized Pine v5 rewrite of Larry Williams’ classic Vix Fix, with an optional inverse mode to detect both capitulation lows (buy signals) and euphoric highs (sell signals).
🔎 What It Does
Vix Fix (Buy-side): Mimics the behavior of the VIX by detecting panic/fear spikes when price makes unusually deep lows relative to recent closes.
Inverse Vix Fix (Sell-side): Flips the logic to highlight euphoric/overbought spikes when price makes unusually high prints relative to recent closes.
Works on any timeframe or instrument — originally built for stocks/futures that don’t have their own VIX.
⚙️ Inputs
LookBack Period (pd): Number of bars to check for recent highs/lows.
Bollinger Band Length (bbl): Period for volatility bands.
Std Dev Multiplier (mult): Sensitivity of the bands.
Percentile Lookback (lb, ph, pl): Optional percentile thresholds for extra filters.
Show Range Lines (hp): Toggle percentile-based high/low markers.
Show StdDev Bands (sd): Toggle Bollinger-style envelopes.
Show Inverse (Sell) Version: Plots a red histogram for euphoric tops.
📊 Plots
Green Histogram: Vix Fix (fear/panic spikes).
Red Histogram: Inverse Vix Fix (euphoria spikes, optional).
Orange Lines: Percentile-based thresholds (optional).
Aqua Lines: Bollinger-style volatility bands (optional).
🧭 How to Use
Green Spikes (Buy Vix Fix): Potential market bottoms when fear is high.
Red Spikes (Inverse): Potential market tops when greed/euphoria is high.
Works best when combined with:
Trend filters (e.g. moving averages).
Market structure tools (e.g. support/resistance, FVGs, liquidity levels).
Other volatility/volume confirmations.
⚠️ Note: This is an indicator only (not a strategy). It highlights potential extremes in sentiment/volatility, but does not provide direct buy/sell orders. Always confirm with price action and risk management.
WaveTrend OscillatorWave trend Oscillator, similar to the other Cypher Oscillators, just that this oscillator is a little bit more refined less noise and a few better options for the money flow, but keeping the basic Structures and features. The only feature this does not have is the divergences
NK-Macd + Rsi3Here in one table you can see the MACD of the different time frame that what is the status of the MACD, is it above zero line or below zero line.
Second you will see in table that RSI number of all time frame, so here we dont need to go and check RSI by switching the chart and time frame.
at one place you will see both RSI and MACD, and by seeing the number you can check when the price in oversold zone and when it will in overbought also you can see the when the price in momentum and when not.
Example :- let assume RSI table showing above 40 in 1 hr and 67 in daily that means RSI is in swing momentum in hrly but momentum in daily.
LCS DynamicUses adaptive calculations to generate signals each signal has different rules to trade which will be updated shortly
ROC -> PROFABIGHI_CAPITAL🌟 Overview
This ROC → PROFABIGHI_CAPITAL implements a streamlined Rate of Change momentum indicator for clear trend direction analysis and momentum strength assessment.
It provides Rate of Change calculation with configurable period settings , Dynamic color-coded visualization with green for positive momentum and red for negative momentum , and Zero reference line for clear momentum direction identification for fundamental momentum analysis and trend confirmation.
🔧 Momentum Analysis Architecture
- Professional Rate of Change implementation focusing on percentage price changes over specified periods for momentum measurement
- Period Configuration Framework with adjustable lookback period using 14-period default for balanced momentum sensitivity
- Minimum Value Protection ensuring period input accepts only values of 1 or greater for mathematical validity
- Separate Panel Display using overlay = false for dedicated momentum analysis window below price chart
- Simple Input Interface providing single parameter control for easy configuration and optimization
📊 ROC Calculation Engine
- Pine Script ROC Function utilizing built-in ta.roc calculation for accurate percentage change measurement over specified periods
- Close Price Source using closing prices as standard input for momentum calculation providing consistent trend analysis
- Percentage Change Formula calculating ((current close - close N periods ago) / close N periods ago) × 100 for standardized momentum measurement
- Period-Based Analysis measuring momentum over user-defined lookback period for flexible timeframe adaptation
- Real-Time Updates providing current momentum readings with each new bar for immediate trend assessment
🎨 Visual Representation Framework
- Dynamic Color Coding System using green coloring for positive ROC values indicating upward momentum and red coloring for negative values showing downward momentum
- Clear Visual Distinction providing immediate visual feedback on momentum direction through intuitive color scheme
- Line Weight Enhancement using linewidth = 2 for prominent momentum line display ensuring clear trend identification
- Zero Reference Line displaying horizontal dashed gray line at zero level for momentum direction baseline reference
- Professional Chart Integration implementing clean visual design with standard color conventions for institutional analysis
📈 Momentum Analysis Applications
- Trend Direction Confirmation identifying positive ROC values as bullish momentum and negative values as bearish momentum
- Momentum Strength Assessment measuring momentum magnitude through ROC value extremes for trend intensity evaluation
- Divergence Analysis comparing price action with ROC direction for potential reversal signal identification
- Overbought/Oversold Detection using extreme ROC values for potential mean reversion opportunities
- Trend Continuation Validation confirming sustained momentum through consistent ROC direction for trend following strategies
- Entry and Exit Timing utilizing ROC zero-line crosses and directional changes for position management decisions
⚙️ Configuration Parameters
- ROC Period Setting controlling lookback period for momentum calculation with 14-period default providing balanced sensitivity
- Period Optimization Range supporting values from 1 to unlimited for different analytical timeframes and market conditions
- Short-Term Analysis using periods 1-7 for quick momentum changes and scalping applications
- Medium-Term Analysis utilizing periods 8-21 for swing trading and intermediate trend analysis
- Long-Term Analysis employing periods 22+ for position trading and major trend identification
- Market Adaptation adjusting period length based on asset volatility and trading strategy requirements
🔍 Technical Implementation
- Mathematical Accuracy using Pine Script's built-in ROC function ensuring proper percentage change calculations
- Computational Efficiency implementing streamlined code structure for optimal performance and minimal resource usage
- Error Prevention using minimum value constraints preventing invalid period inputs and calculation errors
- Real-Time Processing providing immediate momentum updates with each new price bar for current market assessment
- Clean Code Architecture maintaining simple, readable structure for easy modification and optimization
- Professional Standards following Pine Script best practices for reliable indicator performance
📊 Trading Applications
- Momentum Confirmation validating trend direction through positive or negative ROC readings for directional bias
- Zero-Line Strategy using ROC crosses above and below zero for basic momentum trading signals
- Extreme Reading Analysis identifying unusually high or low ROC values for potential reversal opportunities
- Multi-Timeframe Analysis applying different ROC periods across timeframes for comprehensive momentum assessment
- Divergence Trading comparing price peaks/troughs with ROC peaks/troughs for reversal signal generation
- Filter Integration combining ROC with other indicators for enhanced signal validation and trade confirmation
✅ Key Takeaways
- Streamlined Rate of Change implementation providing essential momentum analysis through percentage price change calculation
- Dynamic color-coded visualization offering immediate momentum direction identification through green/red color scheme
- Configurable period settings enabling adaptation to different trading styles and market timeframes
- Zero reference line providing clear momentum baseline for directional bias and signal generation
- Professional implementation using Pine Script best practices for reliable performance and easy optimization
- Fundamental momentum tool suitable for trend confirmation, divergence analysis, and basic trading signal generation
- Clean, efficient design focusing on core momentum functionality without unnecessary complexity or visual clutter
Triple-Timeframe Stochastic Alerts (Smart Filtered)multi time stochastic w/ volume.
Smart filters, volume cool off,
3 adjustable time stochastic.
volume filter
