Trading Life ProOverview
Trading Life Pro is an advanced all-in-one indicator built for TradingView users who demand precision and insight. It delivers real-time entry and exit signals, dynamic support and resistance levels, and deep analytical tools designed to elevate your trading strategy. Every component is optimized for accuracy, speed, and clarity — helping you make confident, data-driven decisions in any market.
Key Features
Non-Repaint Signals: All entries are locked once generated — no repainting, no false signals.
Real-Time Entry & Exit: Get immediate trade signals as market conditions evolve.
Smart Range Finder: Identify ideal trading zones based on current volatility and market structure.
Fundamental Analyzer: Automatically assess economic and market factors with on-chart insights once sufficient data is available.
Automatic 3-TP Levels: Configure up to three adaptive take-profit levels that track live market momentum.
Duo FVG Detection: Spot and trade Fair Value Gaps across consecutive candles for ultra-precise entries and exits.
Dynamic Support & Resistance: Detect key turning points and price reaction zones in real time.
Candle Sentiment Analyzer: Identify bullish and bearish candlestick formations to gauge market sentiment.
Market Screener: Scan multiple markets to uncover high-probability trade setups.
Adaptive Modes: Switch easily between Default, Aggressive, and Long Shot presets to match your trading style.
Trend Power Analyzer: Measure and visualize the strength of market trends directly from candlestick behavior.
Hyper Insights: Unlock advanced, context-based analytics for better decision-making.
RSI Analyzer: Evaluate overbought and oversold conditions with dynamic RSI integration.
Custom Alerts: Receive instant notifications for trade entries, trend shifts, or market changes.
Lifetime Access: One-time purchase — no subscriptions, no hidden costs.
Universal Compatibility: Works on all currency pairs, indices, and timeframes.
Heikin Ashi Optimized: Fully compatible and optimized for Heikin Ashi charts for smooth visualization and fast loading.
Free Updates & Training: Enjoy continuous updates plus a free video tutorial to master every feature.
Description
Trading Life Pro delivers a comprehensive trading toolkit within TradingView. From pinpoint entries and automated take-profit levels to real-time analysis of trends, fundamentals, and fair value gaps — every feature is crafted for traders seeking consistency and edge.
With powerful alerts, adaptive presets, and universal compatibility, Trading Life Pro seamlessly integrates into any trading workflow, supporting all markets, timeframes, and chart types.
Usage
Access real-time trade signals directly on TradingView.
Use Smart Range Finder and Fundamental Analyzer for context-driven entries.
Configure Automatic TP Levels and analyze trend strength via candlestick and RSI tools.
Enable alerts to stay informed about market shifts and entry confirmations — even when you’re away from the screen.
Analisis Tren
HMA High/Low Band - Trend Color HMA High/Low Band Trend
Visualize market trends clearly with a single Hull Moving Average (HMA) and dynamic high/low bands. The indicator colors the HMA and its bands based on trend direction:
Green = Uptrend
Red = Downtrend
Gray = Sideways
The band adjusts dynamically to price action, giving a clear view of trending and sideways markets without cluttering your chart. Ideal for traders who want a smooth trend filter with instant visual cues.
Confirmed Breakout Detector v2This indicator automatically:
Detects breakouts above recent resistance (pivot high).
Confirms volume surge (≥ 1.5× average 50-day volume).
Compares RS line vs QQQ to ensure leadership.
Checks candle strength (close in upper half).
Verifies MACD slope ≥ 0 (no bearish divergence).
Plots green triangles under confirmed buys, orange for watch-list breakouts.
Displays an on-chart label (HUD) with real-time confirmation status.
Supports TradingView alerts, so you can set “Confirmed Buy Alert” → Send Email / App Notification.
Institutional AI-Enhanced Market StructureInstitutional AI-Enhanced Market Structure Indicator
COMPREHENSIVE DESCRIPTION
Overview and Purpose
This indicator combines institutional trading concepts (Smart Money Concepts) with a proprietary AI-inspired probability scoring system to identify high-probability trading opportunities. Unlike standard trend-following or support/resistance indicators, this tool integrates multiple institutional order flow concepts and quantifies their confluence through a dynamic scoring algorithm that adapts to market conditions.
The indicator is closed-source because it contains a unique multi-factor probability calculation engine and adaptive parameter optimization system that took extensive development and backtesting to create. The specific weighting, thresholds, and interaction between components represent proprietary intellectual property.
What Makes This Original
1. AI-Inspired Adaptive Probability Scoring System
The core innovation is a dynamic scoring algorithm that evaluates trade setups based on 6 confluence factors:
Market Structure Quality (20 points): Validates Break of Structure (BOS) or Change of Character (CHoCH) using pivot-based swing analysis
Order Flow Strength (15 points): Measures institutional volume participation relative to 20 and 50-period moving averages with standard deviation filtering
Liquidity Engineering (15 points): Detects liquidity sweeps at equal highs/lows (EQL) where retail stop losses cluster
Imbalance Presence (10 points): Identifies unfilled Fair Value Gaps (3-candle imbalances) as institutional entry zones
Market Regime Alignment (10 points): Confirms directional bias through multi-factor regime classification
Volatility Environment (5 points): Penalizes signals during high-volatility "chop" periods
Each factor is weighted based on backtested importance, and the total score (50-100%) must exceed a user-defined threshold before displaying signals. This is NOT a simple indicator mashup—the scoring system dynamically evaluates how these concepts work together in real-time.
2. Dynamic Market Regime Detection
Most indicators use static parameters. This indicator continuously classifies the market into one of four regimes using four calculations:
Trend Strength: EMA(21) vs EMA(50) divergence relative to price
Volatility Ratio: Current price standard deviation vs 50-period average
Volume Regime: Current volume vs 50-period SMA
Average Daily Range: 20-bar high-low range normalized to price
Based on these inputs, the algorithm classifies markets as:
BULL_TREND: Strong upward momentum with above-average volume
BEAR_TREND: Strong downward momentum with above-average volume
RANGING: Low trend strength with contained volatility
VOLATILE: Elevated volatility ratio above 1.5x average
The regime detection then adaptively modifies:
ATR multipliers for stop placement (2.5x in volatile, 1.2x in ranging, 1.8x in trending)
Signal probability requirements (higher in volatile conditions)
Order block decay rates
Fair value gap sensitivity
3. Institutional Order Flow Integration
The indicator detects and tracks institutional footprints through three proprietary methods:
Order Blocks: Unlike simple supply/demand zones, this uses a multi-condition filter:
Volume spike > 2.0 standard deviations above 20-period average
Large candle body > 0.8x ATR
Confirmation of Break of Structure in the same direction
Touch tracking and "tested" status when price revisits
Automatic decay after user-defined bars (prevents chart clutter)
Fair Value Gaps (Imbalances): 3-candle inefficiency detection where:
Bullish FVG: low > high AND close > high (gap between candle 0 and 2)
Bearish FVG: high < low AND close < low
Real-time fill percentage tracking as price revisits the gap
Assumes institutions will defend or fill these imbalances
Liquidity Zones: Detects equal highs/lows where retail stops cluster:
Identifies swing points within user-defined percentage threshold (default 0.3%)
Tracks "sweep" events when price spikes through then reverses (wick through level, close back inside)
Differentiates swept vs unswept liquidity for entry timing
4. Volume-Weighted Dynamic Levels
Instead of simple moving averages or static pivots, support/resistance are calculated using volume-weighted price:
Support = Σ(low × volume ) / Σ(volume ) for i=0 to 19
Resistance = Σ(high × volume ) / Σ(volume ) for i=0 to 19
This gives more weight to price levels with higher institutional participation, creating more reliable stop-loss placement when "Adaptive Stop Loss" is enabled.
5. Multi-Timeframe Confluence
The indicator queries daily timeframe data for higher-timeframe confirmation:
Daily EMA trend direction (21 vs 50)
Daily volume regime (above/below 20-period average)
Daily market regime classification
Signals only trigger when current timeframe setup aligns with daily timeframe bias, filtering out counter-trend noise.
How It Works - Technical Methodology
Market Structure Detection (Smart Money Concepts)
Uses ta.pivothigh() and ta.pivotlow() with user-defined strength (default 5 bars each side)
Stores last 50 swing highs and lows in arrays for historical reference
Break of Structure (BOS): Price closes beyond the most recent swing high (bullish) or swing low (bearish)
Change of Character (CHoCH): Price breaks counter-trend structure (low breaks above previous swing low = potential reversal)
Signal Generation Logic
A valid LONG signal requires ALL of the following:
Setup: Bullish BOS or CHoCH confirmed
Confirmation: Bullish liquidity sweep OR unfilled bullish FVG present
HTF Alignment: Daily timeframe in uptrend with above-average volume
Probability Score: AI scoring system returns ≥65% (user adjustable 50-95%)
Risk:Reward: Calculated stop (ATR-based or adaptive) allows minimum 2:1 R:R (user adjustable)
SHORT signals use inverse logic (bearish structure, bearish sweeps/FVGs, daily downtrend).
Adaptive Risk Management
Stop loss calculation adapts based on:
Current market regime (wider stops in volatile markets)
Volume-weighted support/resistance levels when "Adaptive" enabled
Minimum risk threshold (0.2% of price) to avoid over-tight stops
Take profit targets automatically calculate based on user-defined risk:reward ratio (default 2:1).
How To Use This Indicator
Initial Setup
Market Structure Group:
Start with default Swing Strength (5) for 1H-4H timeframes
Increase to 10-15 for daily timeframes
Decrease to 3 for scalping on 5-15min timeframes
AI Features Group:
Set "Signal Probability Threshold" to 65% for balanced approach
Increase to 75-80% for fewer but higher-quality signals
Lower to 60% in strong trending markets for more entries
Risk Management:
Enable "Adaptive Stop Loss" for dynamic support/resistance-based stops
Set "Minimum Risk:Reward" to 2.0 or higher (institutional standard)
Adjust ATR Length (14) based on timeframe (shorter for intraday)
Reading The Signals
Visual Elements:
Small triangles: Swing highs (red) and lows (green) - market structure pivots
Circles: Break of Structure - lime (bullish) or red (bearish)
Diamonds: Change of Character - cyan (bullish reversal) or orange (bearish reversal)
Boxes: Order blocks (green=bullish, red=bearish, yellow border=tested)
Transparent boxes: Fair Value Gaps (blue=bullish, purple=bearish)
Dashed/solid lines: Liquidity zones (purple=unswept, yellow=swept)
Large arrows: Trade signals with probability % (🔼 LONG / 🔽 SHORT)
Red/Green lines: Stop loss and take profit levels
Statistics Dashboard (top right by default):
Market Regime: Current classification (BULL_TREND, BEAR_TREND, RANGING, VOLATILE)
Volatility Ratio: Current vs average volatility (>1.5 = avoid trading)
Volume Regime: Current vs average volume (>1.2 = strong institutional participation)
Active Order Blocks: Number of untested institutional zones
Unfilled FVGs: Number of imbalances awaiting price return
Liquidity Zones: Unswept equal highs/lows (potential reversal areas)
HTF Alignment: Daily timeframe bias (confirm direction)
Last Signal Prob: Confidence score of most recent signal
Trading Strategy
For LONG Entries:
Wait for bullish BOS or CHoCH marker (circle/diamond below price)
Confirm market regime is BULL_TREND or RANGING (not VOLATILE)
Look for bullish liquidity sweep (yellow line below price) or unfilled bullish FVG (blue box)
When all align, watch for 🔼 LONG signal with probability ≥65%
Enter on signal candle close
Stop loss = red line, Take profit = green line
Monitor FVG fills and order block tests for possible early exit
For SHORT Entries:
Same logic in reverse (bearish structure, BEAR_TREND regime, bearish sweeps/FVGs, 🔽 SHORT signals)
Advanced Usage:
Order Block Confluence: Highest probability entries occur when price retraces to tested order block (yellow border) + FVG overlap
Liquidity Sweep Reversals: Best entries often follow immediate sweep (yellow line) then signal in opposite direction
Regime Filtering: Avoid trading during VOLATILE regime or when volatility ratio >1.5
HTF Confirmation: Only take signals when HTF Alignment matches direction (BULLISH for longs, BEARISH for shorts)
Customization:
Every visual element has individual toggle and color controls in settings:
Hide swing points if chart too cluttered
Disable BOS/CHoCH markers if only using order blocks
Turn off FVGs if focusing on liquidity sweeps
Customize colors to match your chart theme
Reposition dashboard to any corner
Why This Requires Closed-Source Protection
This indicator represents months of development integrating:
Proprietary probability weighting system - The specific point allocation (20/15/15/10/10/5) and interaction logic between factors is based on extensive backtesting across multiple markets and timeframes
Adaptive parameter optimization algorithms - How the indicator modifies ATR multipliers, decay rates, and thresholds based on regime detection uses proprietary mathematical relationships
Volume-weighted level calculations - The specific lookback periods and weighting formulas for dynamic support/resistance are optimized through statistical analysis
Multi-factor regime classification - The exact thresholds for trend strength (0.02), volatility ratio (1.3/1.5), and volume regime (1.0/1.2) are calibrated values
While the underlying concepts (SMC, order blocks, FVGs) are known, the integration methodology, scoring system, and adaptive algorithms are original intellectual property. An open-source version would allow immediate copying of years of development work, defeating the purpose of creating a professional-grade tool.
The detailed description above provides traders with complete transparency on WHAT the indicator does and HOW to use it effectively, without revealing the exact mathematical relationships and thresholds that make it effective.
Disclaimer
This indicator is an analytical tool for identifying potential trading opportunities based on institutional order flow concepts. It does not guarantee profits and should be used alongside proper risk management, fundamental analysis, and personal trading rules. Past performance does not indicate future results. Always use stop losses and never risk more than you can afford to lose.
AlphaTrend - Medium Term Trend Probability Indicator on TOTALESWHAT IS ALPHATREND?
AlphaTrend is a consensus-based trend identification system that combines 7 independent trend detection methodologies into a single probability score. Designed for medium-term trading (days to weeks), it aggregates diverse analytical approaches—from volatility-adjusted moving averages to statistical oscillators—to determine directional bias with quantifiable confidence.
Unlike single-indicator systems prone to false signals during consolidation, AlphaTrend requires majority agreement across multiple uncorrelated methods before generating directional signals, significantly reducing whipsaws in choppy markets.
METHODOLOGY - THE 7-INDICATOR VOTING SYSTEM
Each indicator analyzes trend from a mathematically distinct perspective and casts a vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 7 votes creates the final probability score ranging from -1 (strong bearish) to +1 (strong bullish).
1. FLXWRT RMA (VOLATILITY-ADJUSTED BASELINE)
Method: RMA (Running Moving Average) with ATR-based dynamic bands
Calculation:
RMA = Running MA of price over 12 periods
ATR = Average True Range over 20 periods
Long Signal: Price > RMA + ATR
Short Signal: Price < RMA - ATR
Logic: Trend confirmed only when price breaks beyond volatility-adjusted boundaries, not just the moving average itself. This filters noise by requiring momentum sufficient to overcome recent volatility.
Why it works: Standard MA crossovers generate excessive false signals in ranging markets. Adding ATR bands ensures price has genuine directional momentum, not just minor fluctuations.
Settings:
RMA Length (12): Base trend smoothing
ATR Length (20): Volatility measurement period
2. BOOSTED MOVING AVERAGE (MOMENTUM-ENHANCED TREND)
Method: Double EMA with acceleration boost factor
Calculation:
EMA1 = EMA(close, length)
EMA2 = EMA(close, length/2) // Faster EMA
Boosted Value = EMA2 + sensitivity × (EMA2 - EMA1)
Final = EMA smoothing of Boosted Value
Logic: Amplifies the difference between fast and slow EMAs to emphasize trend momentum. The boost factor (1.3) accelerates response to directional moves while subsequent smoothing prevents over-reaction.
Why it works: Traditional MAs lag price action. The boost mechanism projects trend direction forward by amplifying the momentum differential between two EMAs, providing earlier signals without sacrificing reliability.
Settings:
Length (36): Base EMA period
Boost Factor (1.3): Momentum amplification multiplier
Originality: This is a proprietary enhancement to standard double EMA systems. Most indicators simply cross fast/slow EMAs; this one mathematically projects momentum trajectory.
3. HEIKIN ASHI TREND (T3-SMOOTHED CANDLES)
Method: Heikin Ashi candles with T3 exponential smoothing
Calculation:
Heikin Ashi candles = Smoothed OHLC transformation
T3 Smoothing = Triple-exponential smoothing (Tillson T3)
Signal: T3(HA_Open) crosses T3(HA_Close)
Logic: Heikin Ashi candles filter intrabar noise by averaging consecutive bars. T3 smoothing adds additional filtering using Tillson's generalized DEMA algorithm with custom volume factor.
Why it works: Regular candlesticks contain high-frequency noise. Heikin Ashi transformation creates smoother trends, and T3 smoothing eliminates remaining whipsaws while maintaining responsiveness. The T3 algorithm specifically addresses the lag-vs-smoothness tradeoff.
Settings:
T3 Length (13): Smoothing period
T3 Factor (0.3): Volume factor for T3 algorithm
Percent Squeeze (0.2): Sensitivity adjustment
Technical Note: T3 is superior to simple EMA smoothing because it applies the generalized DEMA formula recursively, reducing lag while maintaining smooth output.
4. VIISTOP (ATR-BASED TREND FILTER)
Method: Simple trend detection using price position vs smoothed baseline with ATR confirmation
Calculation:
Baseline = SMA(close, 16)
ATR = ATR(16)
Uptrend: Close > Baseline
Downtrend: Close < Baseline
Logic: The simplest component—pure price position relative to medium-term average. While basic, it provides a "sanity check" against over-optimized indicators.
Why it works: Sometimes the simplest approach is most robust. In strong trends, price consistently stays above/below its moving average. This indicator prevents the system from over-complicating obvious directional moves.
Settings:
Length (16): Baseline period
Multiplier (2.8): ATR scaling (not actively used in vote logic)
Purpose in Ensemble: Provides grounding in basic trend logic. Complex indicators can sometimes generate counterintuitive signals; ViiStop ensures the system stays aligned with fundamental price positioning.
5. NORMALIZED KAMA OSCILLATOR (ADAPTIVE EFFICIENCY-BASED TREND)
Method: Kaufman Adaptive Moving Average normalized to oscillator format
Calculation:
Efficiency Ratio = |Close - Close | / Sum(|Close - Close |, 8)
Smoothing Constant = ER × (Fast SC - Slow SC) + Slow SC
KAMA = Adaptive moving average using dynamic smoothing
Normalized = (KAMA - Lowest) / (Highest - Lowest) - 0.5
Logic: KAMA adjusts its smoothing speed based on market efficiency. In trending markets (high efficiency), it speeds up. In ranging markets (low efficiency), it slows down. Normalization converts absolute values to -0.5/+0.5 oscillator for consistent voting.
Why it works: Fixed-period moving averages perform poorly across varying market conditions. KAMA's adaptive nature makes it effective in both trending and choppy environments by automatically adjusting its responsiveness.
Settings:
Fast Period (9): Maximum responsiveness
Slow Period (21): Minimum responsiveness
ER Period (8): Efficiency calculation window
Normalization Lookback (35): Oscillator scaling period
Mathematical Significance: Kaufman's algorithm is one of the most sophisticated adaptive smoothing methods in technical analysis. The Efficiency Ratio mathematically quantifies trend strength vs noise.
6. LÉVY FLIGHT RSI (HEAVY-TAILED MOMENTUM)
Method: Modified RSI using Lévy distribution weighting for gains/losses
Calculation:
Weighted Gain = (Max(Price Change, 0))^Alpha
Weighted Loss = (-Min(Price Change, 0))^Alpha
RSI = 100 - (100 / (1 + RMA(Gain) / RMA(Loss)))
Centered RSI = RSI - 50
Logic: Standard RSI treats all price changes linearly. Lévy Flight RSI applies power-law weighting (Alpha = 1.5) to emphasize larger moves, modeling heavy-tailed distributions observed in real market data.
Why it works: Market returns exhibit "fat tails"—large moves occur more frequently than normal distribution predicts. Lévy distributions (Alpha between 1-2) better model this behavior. By weighting larger price changes more heavily, this RSI variant becomes more sensitive to genuine momentum shifts while filtering small noise.
Settings:
RSI Length (14): Standard period
Alpha (1.5): Lévy exponent (1=linear, 2=quadratic)
MA Length (12): Final smoothing
Originality: Standard RSI uses unweighted gains/losses. This implementation applies stochastic process theory (Lévy flights) from quantitative finance to create a momentum indicator more aligned with actual market behavior.
Mathematical Background: Lévy flights describe random walks with heavy-tailed step distributions, observed in financial markets, animal foraging patterns, and human mobility. Alpha=1.5 balances between normal distribution (Alpha=2) and Cauchy distribution (Alpha=1).
7. REGULARIZED-MA OSCILLATOR (Z-SCORED TREND DEVIATION)
Method: Moving average converted to z-score oscillator
Calculation:
MA = EMA(close, 19)
Mean = SMA(MA, 30)
Std Dev = Standard Deviation(MA, 30)
Z-Score = (MA - Mean) / Std Dev
Logic: Converts absolute MA values to statistical standard deviations from mean. Positive z-score = MA above its typical range (bullish), negative = below range (bearish).
Why it works: Raw moving averages don't indicate strength—a 50-day MA at $50k vs $60k has no contextual meaning. Z-scoring normalizes this to "how unusual is current MA level?" This makes signals comparable across different price levels and time periods.
Settings:
Length (19): Base MA period
Regularization Length (30): Statistical normalization window
Statistical Significance: Z-scores are standard in quantitative analysis. This indicator asks: "Is the current trend statistically significant or just random noise?"
AGGREGATION METHODOLOGY
Voting System:
Each indicator returns: +1 (bullish), -1 (bearish), or 0 (neutral)
Total Score = Sum of all 7 votes (-7 to +7)
Average Score = Total / 7 (-1.00 to +1.00)
Signal Generation:
Long Signal: Average > 0 (majority bullish)
Short Signal: Average < 0 (majority bearish)
Neutral: Average = 0 (perfect split or all neutral)
Why Equal Weighting:
Each indicator represents a fundamentally different analytical approach:
Volatility-adjusted (RMA, ViiStop)
Momentum-based (Boosted MA, Lévy RSI)
Adaptive smoothing (KAMA)
Statistical (MA Oscillator)
Noise-filtered (Heikin Ashi T3)
Equal weighting ensures no single methodology dominates. This diversification reduces bias and improves robustness across market conditions.
ORIGINALITY - WHY THIS COMBINATION WORKS
Traditional Multi-Indicator Approaches:
Combine similar indicators (multiple MAs, multiple oscillators)
Use arbitrary thresholds for each indicator
Don't normalize signals (hard to compare RSI to MACD)
Often just "if RSI > 70 AND MACD > 0 = buy"
AlphaTrend MTPI Innovations:
Methodological Diversity: Includes volatility-adaptive (RMA), momentum-enhanced (Boosted MA), efficiency-based (KAMA), heavy-tailed statistics (Lévy RSI), and smoothed candles (HA). No redundant indicators.
Binary Voting: Each indicator reduces to simple +1/-1/0 vote, making aggregation transparent and preventing any indicator from overwhelming the consensus.
Medium-Term Optimization: Parameter choices (12-36 period averages) specifically target multi-day to multi-week trends, not scalping or long-term positioning.
Advanced Mathematics: Incorporates Tillson T3, Kaufman Efficiency Ratio, Lévy distributions, and statistical z-scoring—not just basic MAs and RSIs.
No Overfit Risk: With 7 diverse components voting equally, the system can't overfit to any specific market regime. If trending markets favor KAMA, but choppy markets favor Boosted MA, the ensemble stays robust.
Why 7 Indicators, Not 3 or 10:
Fewer than 5: Insufficient diversification, single indicator failures impact results heavily
More than 9: Diminishing returns, redundancy increases, computational load grows
7 provides: Odd number (no ties), sufficient diversity, manageable complexity
VISUAL COMPONENTS
1. Bar Coloring:
Cyan bars: Bullish consensus (average score > 0)
Magenta bars: Bearish consensus (average score < 0)
No color: Neutral (score = 0 or date filter disabled)
2. MTPI Summary Table (Bottom Center):
MTPI Signal: Current directional bias (LONG/SHORT/NEUTRAL)
Average Score: Precise consensus reading (-1.00 to +1.00)
3. Indicator Status Table (Bottom Right):
Shows all 7 individual indicator scores
Score column: +1 (bullish), -1 (bearish), 0 (neutral)
Signal column: Text interpretation of each vote
Color-coded cells: Cyan (long), Magenta (short), Gray (neutral)
HOW TO USE
For Swing Trading (Recommended - Days to Weeks):
Entry Signals:
Strong Long: 5+ indicators bullish (score ≥ 0.71)
Standard Long: 4+ indicators bullish (score ≥ 0.57)
Weak Long: Simple majority (score > 0) — use with caution
Exit Signals:
Hard Stop: Score flips negative (consensus reverses)
Partial Take Profit: Score drops to +0.30 or below (weakening)
Trailing Stop: Use ATR-based stop below entry
Position Sizing:
Strong signals (|score| > 0.7): Full position
Moderate signals (0.4-0.7): 50-75% position
Weak signals (< 0.4): 25-50% or skip
For Trend Confirmation:
Use alongside your primary strategy for confluence
Only take trades when AlphaTrend agrees with your analysis
Avoid counter-trend trades when score is extreme (|score| > 0.7)
Best Timeframes:
4H: Primary timeframe for swing trading
1D: Position trading and major trend identification
1H: Active trading (shorter hold periods)
< 1H: Not recommended (designed for medium-term)
Market Conditions:
Trending markets: System excels (consensus emerges quickly)
Ranging markets: Expect mixed signals (score oscillates near zero)
High volatility: RMA and ViiStop provide stabilization
Low volatility: KAMA and Boosted MA maintain responsiveness
SETTINGS EXPLAINED
General Settings:
Use Date Filter: Enable/disable historical backtesting range
Start Date: When to begin signal generation (default: Jan 1, 2018)
Flxwrt RMA Settings:
RMA Length (12): Base trend smoothing
ATR Length (20): Volatility measurement period
Source: Price input (default: close)
Boosted MA Settings:
Length (36): Base EMA period
Boost Factor (1.3): Momentum amplification
Source: Price input
Heikin Ashi Settings:
Percent Squeeze (0.2): Sensitivity adjustment
T3 Factor (0.3): Tillson volume factor
T3 Length (13): Smoothing period
ViiStop Settings:
Length (16): Baseline period
Multiplier (2.8): ATR scaling
Source: Price input
KAMA Settings:
Fast Period (9): Maximum responsiveness
Slow Period (21): Minimum responsiveness
ER Period (8): Efficiency calculation
Normalization Lookback (35): Oscillator scaling
Levy RSI Settings:
RSI Length (14): Standard period
Alpha (1.5): Lévy exponent (power-law weighting)
MA Length (12): Final smoothing
Source: Price input
MA Oscillator Settings:
Length (19): Base MA period
Regularize Length (30): Z-score normalization window
PERFORMANCE CHARACTERISTICS
Strengths:
✅ Reduced whipsaws vs single indicators
✅ Works across varying market conditions (adaptive components)
✅ Transparent methodology (see every vote)
✅ Customizable to trading style via timeframe selection
✅ No curve-fitting (equal weighting, no optimization)
Limitations:
⚠️ Medium-term focus (not for scalping or very long-term)
⚠️ Lagging by design (consensus requires confirmation)
⚠️ Less effective in violent reversals (momentum carries votes)
⚠️ Requires clean price data (gaps/thin volume can distort)
ALERTS & AUTOMATION
No built-in alerts in current version (visual-only indicator). Users can create custom alerts based on:
Bar color changes (cyan to magenta or vice versa)
Average score crossing above/below thresholds
Specific indicator status changes in the table
BEST PRACTICES
Risk Management:
Never risk more than 1-2% per trade regardless of score
Use stop losses (ATR-based recommended)
Scale positions based on signal strength
Don't average down on losing positions
Combining with Other Analysis:
✅ Support/Resistance levels for entries
✅ Volume confirmation (accumulation/distribution)
✅ Market structure (higher highs/lower lows)
✅ Volatility regimes (adjust position size)
❌ Don't combine with redundant trend indicators (adds no value)
❌ Don't override strong consensus with gut feeling
❌ Don't use on news-driven spikes (wait for stabilization)
Backtesting Notes:
Use "Date Filter" to test specific periods
Forward-test before live deployment
Remember: consensus systems perform best in trending markets, expect reduced edge in ranges
IMPORTANT NOTES
Not a standalone strategy - Use with proper risk management
Requires clean data - Works best on liquid markets with tight spreads
Medium-term by design - Don't expect scalping signals
No magic - No indicator predicts the future; this shows current trend probability
Diversification within - The 7-component ensemble IS the diversification strategy
Not financial advice. This indicator identifies medium-term trend probability based on multi-component consensus. Past performance does not guarantee future results. Always use proper risk management and position sizing.
SMMA Strategy [SMMA ULTIMATE]SMMA 21/50/200 + RSI — M5/M15 (Rule-marked entries & exits)
Release Notes (EN)
Version: 1.0 (Pine v6 — Indicator)
Date: 14 Oct 2025
Type: Multi-TF overlay indicator with rule-based entry/exit markers and optional runtime alerts
🚀 Summary
A disciplined multi-timeframe scanner for M5 and M15 that highlights rule-driven setups (R1…R4) around SMMA 21/50/200, RSI (buy > 52 / sell < 48), directional VWAP, volume, and ATR activity.
It also simulates ATR-based TP/SL/Break-Even to provide immediate visual feedback and tags each trade idea with the origin rule.
✨ Highlights
• Full MTF stack (M5 & M15) with dedicated series (price, volume, SMMA, ATR, VWAP, RSI) and lookahead_off to avoid repaint.
• 4 modular entry rules (enable/disable independently):
◦ R1: Price crosses the max/min of SMMA(21/50/200) + RSI filter + market OK.
◦ R2: Touch of SMMA21 (pullback) + trend alignment + RSI + market OK.
◦ R3: Three candles impulse + engulfing reversal + RSI + market OK.
◦ R4: SMMA21/SMMA50 cross (structural momentum) + market OK.
• Stackable filters (toggle): Trend (price vs SMMA200), Directional VWAP (price vs VWAP + slope), Volume (Vol > MA×k), ATR activity (ATR > MA(ATR,20)×k).
• RSI thresholds: BUY if RSI > 52, SELL if RSI < 48 (per TF).
• ATR exit simulation: SL = k×ATR, TP = k×ATR, Break-Even armed after ATR gain (return to entry → BE exit).
• Clear rule tags: Entry/exit markers carry R1…R4 for immediate provenance.
• Optional runtime alerts: Human-readable messages on entries and exits, per TF and rule.
🔧 Key Inputs
General
• Price source for display: chart candles / force regular / force Heikin Ashi.
• Lengths: SMMA 21/50/200, RSI (14), ATR (14), Volume MA (20).
• RSI thresholds: Buy > 52, Sell < 48.
Filters (on/off)
• Trend (price vs SMMA200).
• Directional VWAP (price relative to VWAP and VWAP slope).
• ATR activity gate.
• Volume gate (Volume > MA×multiplier).
Rules (on/off)
• Enable R1/R2/R3/R4 individually.
Exit simulation
• Use ATR stops (SL/TP multipliers).
• Break-Even (armed by ATR progress).
Alerts
• Enable runtime alerts to fire alert() at bar close.
🧠 Rule Logic (condensed)
• R1 BUY/SELL: Cross of max/min(SMMA21,50,200) + RSI gate + all selected filters OK.
• R2 BUY/SELL: Touch of SMMA21 + price aligned vs SMMA50/200 + RSI + filters OK.
• R3 BUY/SELL: Three consecutive bars in one direction + engulfing opposite + RSI + filters OK.
• R4 BUY/SELL: SMMA21/SMMA50 crossover + filters OK.
Entry priority per TF: R1 > R4 > R2 > R3.
🔔 Runtime Alerts
When enabled, the script emits close-of-bar alerts with TF and rule tag:
• 🚀 M5/M15 ENTRY LONG (R#)
• 🔻 M5/M15 ENTRY SHORT (R#)
• ✅ M5/M15 EXIT TP (R#)
• ❌ M5/M15 EXIT SL (R#)
• 🟨 M5/M15 EXIT BE (R#)
(You can still build custom UI alerts if you need additional combinations.)
🖼 Visuals
• SMMA 21/50/200 and VWAP (green when price above, red below).
• Plotshape per rule and exit type (TP/SL/BE) with R1…R4 tags on M5 and M15.
• Optional Heikin Ashi for display (core MTF calculations remain consistent).
🔒 Robustness & No-Repaint Notes
• All MTF request.security calls use lookahead_off.
• Pattern logic (three bars, engulfing) is evaluated on bar close.
• ATR/TP/SL/BE are indicator-level simulations using the chart’s H/L/Close (standard intrabar limitations).
⚠️ Limitations & Tips
• This is an indicator, not a strategy: no orders are sent; exits are simulated for visualization.
• Signals are generated on bar close.
• MTF signals synchronize to the chart TF’s close, not intrabar ticks.
AlphaBTC - Long Term Trend Probability Indicator on BitcoinWHAT IS ALPHABTC?
AlphaBTC is a consensus-based long-term trend probability indicator designed specifically for Bitcoin and cryptocurrency markets. It combines 9 independent trend detection methodologies into a single probabilistic score ranging from -1 (strong bearish) to +1 (strong bullish). Unlike single-indicator systems that can produce frequent false signals, AlphaBTC requires agreement across multiple analytical frameworks before generating directional signals.
METHODOLOGY - THE 9-INDICATOR CONSENSUS MODEL
Each indicator analyzes trend from a different mathematical perspective, providing a binary vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 9 votes creates the final probability score.
1. AADTREND (Average Absolute Deviation Trend)
Method: Calculates average absolute deviation from a moving average using 7 different MA types (SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA)
Logic: Price crossovers above/below AAD-adjusted bands signal trend changes
Purpose: Adapts to varying market volatility conditions
2. GAUSSIAN SMOOTH TREND (GST)
Method: Multi-stage smoothing using DEMA → Gaussian Filter → SMMA → Standard Deviation bands
Logic: Long when price > (SMMA + SDmultiplier), Short when price < (SMMA - SDmultiplier)
Purpose: Removes high-frequency noise while preserving trend structure
3. RTI (RELATIVE TREND INDEX)
Method: Percentile-based ranking system comparing current price to historical upper/lower trend boundaries
Logic: Generates 0-100 index score; >80 = bullish, <20 = bearish
Purpose: Identifies price position within statistical distribution
4. HIGHEST-LOWEST DEVIATIONS TREND
Method: Dual moving average system (100/50 periods) with dynamic standard deviation bands
Logic: Compares highest and lowest boundaries from both MAs to determine trend extremes
Purpose: Identifies breakouts from multi-timeframe volatility envelopes
5. 25-75 PERCENTILE SUPERTREND
Method: Modified SuperTrend using 25th and 75th percentile bands instead of simple highs/lows
Logic: ATR-based trailing stop system anchored to percentile boundaries
Purpose: More stable trend following by filtering outlier price spikes
6. TS VOLATILITY-ADJUSTED EWMA
Method: Exponentially Weighted Moving Average with dynamic period adjustment based on ATR
Logic: Speeds up during high volatility, slows during low volatility
Purpose: Adaptive responsiveness to changing market conditions
7. NORMALIZED KAMA OSCILLATOR
Method: Kaufman Adaptive Moving Average normalized to 0-centered oscillator
Logic: Uses Efficiency Ratio to adjust smoothing constant; >0 = bullish, <0 = bearish
Purpose: Adapts to both trending and ranging markets automatically
8. EHLERS MESA ADAPTIVE MOVING AVERAGE (EMAMA)
Method: John Ehlers' MAMA/FAMA system using Hilbert Transform for cycle period detection
Logic: MAMA crossover FAMA = bullish, crossunder = bearish
Purpose: Advanced DSP-based trend detection with phase-based adaptation
9. EMA Z-SCORE
Method: Statistical z-score applied to EMA values over lookback period
Logic: >1.0 standard deviation = bullish, <0.0 = bearish
Purpose: Identifies statistically significant trend deviations
AGGREGATION METHODOLOGY
Scoring System:
Each indicator produces: +1 (bullish), -1 (bearish), or 0 (neutral)
Total score = sum of all 9 indicators (-9 to +9)
Average score = total / 9 (displayed as -1.00 to +1.00)
Signal Interpretation:
+0.50 to +1.00: STRONG BULLISH (majority consensus)
+0.30 to +0.50: MODERATE BULLISH
-0.30 to +0.30: WEAK/NEUTRAL (mixed signals)
-0.50 to -0.30: MODERATE BEARISH
-1.00 to -0.50: STRONG BEARISH (majority consensus)
Bar Coloring:
Cyan bars: Bullish consensus (score > 0)
Magenta bars: Bearish consensus (score < 0)
WHY THIS APPROACH WORKS
Traditional Single-Indicator Problems:
Overfitting to specific market conditions
High false signal rates during consolidation
No mechanism for confidence measurement
AlphaBTC Multi-Consensus Solution:
Diversification: 9 uncorrelated methodologies reduce individual indicator bias
Robustness: Requires majority agreement before signaling (prevents whipsaws)
Adaptability: Mix of momentum, volatility, and statistical indicators captures multiple market regimes
Confidence Measurement: Score magnitude indicates signal strength
Why These 9 Specific Indicators:
AADTrend - Volatility adaptation
GST - Noise filtering
RTI - Statistical positioning
HL Deviations - Multi-timeframe breakouts
Percentile ST - Robust trend following
Volatility EWMA - Dynamic responsiveness
KAMA - Efficiency-based adaptation
EMAMA - Cycle-period awareness
EMA Z-Score - Statistical confirmation
This combination covers:
Trend following (ST, EWMA, KAMA, EMAMA)
Volatility adaptation (AAD, GST, HL Dev, EWMA)
Statistical validation (RTI, Z-Score)
Adaptive smoothing (KAMA, EMAMA, Gaussian)
No single indicator covers all these bases. The ensemble approach creates a more reliable system.
VISUAL COMPONENTS
1. Score Table (Bottom Right):
Shows all 9 individual indicator scores
Color-coded: Green (bullish), Red (bearish), Gray (neutral)
Individual signals visible for transparency
2. Main Score Display (Bottom Center):
LTPI SCORE: The averaged consensus (-1.00 to +1.00)
SIGNAL: Current directional bias (LONG/SHORT)
STRENGTH: Signal confidence (STRONG/MODERATE/WEAK)
3. Bar Coloring:
Visual trend indication directly on price bars
Cyan = bullish consensus
Magenta = bearish consensus
HOW TO USE
For Long-Term Position Trading (Recommended):
Wait for average score to cross above 0 for long entries
Exit when score crosses below 0 or reverses to negative territory
Use STRENGTH indicator - only trade STRONG or MODERATE signals
For Trend Confirmation:
Use AlphaBTC as confluence with your existing strategy
Enter trades only when AlphaBTC agrees with your analysis
Avoid counter-trend trades when consensus is strong (|score| > 0.5)
Risk Management:
STRONG signals (|score| > 0.5): Full position size
MODERATE signals (0.3-0.5): Reduced position size
WEAK signals (< 0.3): Avoid trading or use for exits only
Best Timeframes:
1D chart: Primary trend identification for swing/position trading
4H chart: Intermediate trend for multi-day holds
1H chart: Short-term trend for active trading
Not Recommended:
Scalping (too many indicators create lag)
Timeframes < 1H (designed for longer-term trends)
SETTINGS EXPLAINED
Each of the 9 indicators has customizable parameters in its dedicated settings group:
AadTrend Settings:
Average Length (48): Base period for deviation calculation
AAD Multiplier (1.35): Band width adjustment
Average Type: Choose from 7 different MA types
GST Settings:
DEMA Length (9), Gaussian Length (4), SMMA Length (13)
SD Length (66): Standard deviation lookback
Multipliers for upper/lower bands
RTI Settings:
Trend Length (75): Historical data points for boundary calculation
Sensitivity (88%): Percentile threshold
Long/Short Thresholds (80/20): Entry trigger levels
HL Deviations Settings:
Dual MA system (100/50 periods)
Separate deviation coefficients for upper/lower bands
25-75 Percentile ST Settings:
SuperTrend Length (100)
Multiplier (2.35)
Percentile Length (50)
EWMA Settings:
Length (81), ATR Lookback (14)
Volatility Factor (1.0) for dynamic adjustment
KAMA Settings:
Fast/Slow Periods (50/100)
Efficiency Ratio Period (8)
Normalization Lookback (53)
EMAMA Settings:
Fast/Slow Limits (0.08/0.01) for cycle adaptation
EMA Z-Score Settings:
EMA Length (50)
Lookback Period (25)
Threshold levels for long/short signals
ALERTS
Four alert conditions available:
LTPI Long Signal: When average score crosses above 0
LTPI Short Signal: When average score crosses below 0
LTPI Long: Any bar with bullish consensus
LTPI Short: Any bar with bearish consensus
IMPORTANT NOTES
This is a CONSENSUS indicator - it shows probability, not prediction
Designed for Bitcoin
Best for long-term trend identification (days to weeks, not minutes to hours)
Lagging by design - prioritizes accuracy over speed
Not a standalone strategy - use with proper risk management and position sizing
Requires minimum 100+ bars of historical data for proper indicator calculation
AlphaRank - Relative Strength Portfolio StrategyWHAT IS ALPHARANK?
AlphaRank is a multi-asset relative strength portfolio system that identifies the strongest performing assets within a customizable universe of 10 instruments through pairwise comparison analysis. Unlike traditional relative strength indicators that simply compare price ratios, AlphaRank employs a tournament-style evaluation system using 7 distinct technical indicators to determine true relative strength.
METHODOLOGY - HOW IT WORKS
Core Concept: Pairwise Tournament Analysis
AlphaRank compares every asset against every other asset in your universe (45 unique pairs for 10 assets). For each pair, the system evaluates relative strength using 7 independent indicators:
- RSI (35-period) - Momentum comparison
- Rate of Change (31-period) - Price velocity analysis
- Z-Score (44-period) - Statistical deviation from mean
- Omega Ratio (30-period, smoothed) - Risk-adjusted returns using imported ratio library
- Linear Regression ROC (30-period linreg, 14-period ROC) - Trend strength and acceleration
- Kijun Sen Base (44-period SMA) - Ichimoku-style baseline comparison
- RSI ROC (45-period RSI, 15-period ROC) - Momentum acceleration
Scoring System:
For each pairwise comparison (e.g., ETH vs SOL), the system calculates all 7 indicators on the price ratio (ETH/SOL). Each indicator returns a binary signal (1 or 0). These are summed to create a pair score from 0-7.
If pair score > 3: The numerator asset (ETH) is considered relatively stronger
If pair score ≤ 3: The denominator asset (SOL) is considered relatively stronger
This creates a decisive winner for each pair (no neutral outcomes due to the odd number of indicators).
Final Ranking:
Each asset accumulates points for every pairwise comparison it wins. With 10 assets, each asset faces 9 competitors. Final scores range from 0 (lost all comparisons) to 9 (won all comparisons).
ORIGINALITY - WHY THIS IS DIFFERENT
Traditional Relative Strength:
- Compares assets to a benchmark (like SPY)
- Uses single indicator (usually RSI or price ratio)
- Binary strong/weak classification
AlphaRank Approach:
- Round-robin tournament: every asset vs every other asset
- Multi-indicator consensus (7 indicators, not 1)
- Granular ranking from 0-9 showing exact relative positioning
- Real-time tournament matrix visualization showing all head-to-head results
- Integrated backtesting with position sizing
Key Innovation: By using 7 uncorrelated indicators in a consensus model, AlphaRank reduces false signals from any single indicator's weaknesses. An asset must demonstrate strength across multiple analytical dimensions (momentum, trend, volatility, acceleration) to rank highly.
VISUAL COMPONENTS
Tournament Matrix (Top Right):
Shows every head-to-head matchup
Green dots = asset won that comparison
Red dots = asset lost that comparison
Instantly see which assets dominate across the board
RSPS Score Table (Right side of matrix):
Final relative strength scores (0-9)
Color-coded gradient showing strength hierarchy
Top Assets Table (Bottom Center):
Displays your top N ranked assets
Updates dynamically as rankings change
Equity Curve (Main Chart):
Shows backtested portfolio performance
Compares system returns vs buy-and-hold
Performance Metrics (Bottom):
Sharpe ratio, Sortino ratio, Omega ratio
Maximum drawdown
Individual asset and portfolio metrics
HOW TO USE
Setup:
Choose your 10 assets in the settings (crypto, stocks, indices, etc.)
Set your desired number of top assets to hold (default: 2)
Configure backtest start date and leverage
Interpretation:
Score 7-9: Extremely strong relative to peers - high confidence holdings
Score 4-6: Moderate relative strength - proceed with caution
Score 0-3: Weak relative to peers - avoid or consider shorting
Trading Strategy:
The system automatically allocates capital equally among the top-ranked assets and rebalances when rankings change. This creates a rotation strategy that systematically favors the strongest performers.
TECHNICAL SPECIFICATIONS
Timeframe: Works on all timeframes (1H, 4H, 1D recommended for crypto)
Assets: Fully customizable 10-asset universe
Rebalancing: Automatic when rankings change
SETTINGS EXPLAINED
Leverage Amount: Apply leverage to position sizing (1.0 = no leverage)
Startdate: When to begin backtesting calculations
Highlight Top Assets: How many top-ranked assets to hold (2-5 recommended)
Show Combined Matrix: Toggle the tournament visualization
Show Detailed Metrics: Individual asset performance statistics
Show Small Metrics Table: Simplified performance summary
BACKTESTING METHODOLOGY
The indicator includes full backtesting capabilities. It calculates:
Individual Asset Performance: Each asset's returns if held in isolation
Portfolio Performance: Combined returns of top-ranked assets
Buy & Hold Benchmark: Equal-weight portfolio of all 10 assets
Risk Metrics: Sharpe, Sortino, Omega ratios for all strategies
This allows you to validate the relative strength rotation strategy against simple buy-and-hold.
IMPORTANT NOTES
This is a rotation strategy - it does not predict absolute direction, only relative strength
Works best with correlated assets (e.g., all crypto, all tech stocks)
Requires sufficient history for indicator calculations (minimum 60 bars)
Backtesting uses historical data; future performance may differ
Not financial advice - use for educational purposes
Zippo Blaze CryptoZippo Blaze Crypto
An advanced trend-following indicator that analyzes cryptocurrency price movements by integrating them with major pairs (BTC, ETH, BNB, etc.). It combines the price with these pairs and overall market dynamics to create a main line, colors this line based on momentum, and adds user-adjustable EMAs on top. This provides a balanced trend analysis by considering connections in the crypto market. It only works for cryptocurrencies; it shows no data for other assets (e.g., Borsa Istanbul stocks).
How It Works?
This system operates using a special method that combines crypto prices with major pairs (like BTC, ETH, BNB) and the price itself:
- Price Movement Line: The main line created by normalizing the crypto price with pairs and market data – it shows movement with major coins, but moves in tandem with the price (the line rises when the price rises, falls when it falls) and synchronizes with pairs.
-- Coloring: Determined based on momentum:
🟢 Green: Upward momentum – upward price movement expected.
🔴 Red: Downward momentum – downward price movement expected.
🔵 Blue: Neutral zone – horizontal movement or uncertainty period.
-- EMAs: Moving averages added on top of the main line (EMA 20, 50, 100, 200). Periods can be changed by the user; other calculations are fixed.
This method strengthens signals by utilizing the interconnected structure of the market and reduces optimization risk.
Key Features:
Pair Integration: Integrates price movement with major pairs like BTC, ETH, BNB, providing a connected view instead of an isolated analysis.
Momentum Coloring: Colors the line for quick trend detection – green and red zones give clear signals.
Verification Tools: EMAs verify the direction of the main line; for example, EMAs turning upward can be used as a long signal, downward as a short signal.
Price Action Levels: When viewed on larger time frames (daily, weekly), important support/resistance levels (PA levels) become more apparent.
Crypto-Focused: Only activates on crypto symbols; remains blank in other markets.
How to Use?
-- Price Movement Line: Main trend indicator – moves in sync with pairs, signals long opportunities in uptrends, short in downtrends.
🟢 Green Line: Upward movement expected (evaluate long positions).
🔴 Red Line: Downward movement expected (evaluate short positions).
🔵 Blue Line: Horizontal or neutral period – avoid opening new positions.
- EMAs: Line and EMA crossovers confirm signals; EMAs turning upward can be interpreted as a long signal, downward as short. Monitor PA levels with EMAs on larger periods.
Time Frame and Usage Recommendations
Best results are achieved on hourly and higher time frames (e.g., 1H, 4H, daily), as pair integration and price movement are clearer in these frames.
Signals may weaken in low-liquidity altcoins; ideal for major cryptocurrencies (BTC, ETH, BNB, etc.).
Use EMAs to detect PA levels on larger periods (daily+) – this provides an advantage in long-term trades.
In short time frames, adjust EMA periods for filtering.
Important Warning
This indicator is developed for technical analysis purposes and does not contain investment advice. Market conditions can change rapidly; even pair integration cannot provide full protection against instant fluctuations. Make all your investment decisions based on your own research, risk management strategies, and professional advice.
Supertrend + RSI + StochasticSuperTrend + RSI + Stochastic Entry System
A professional-grade trend-following indicator that combines SuperTrend direction detection with RSI and Stochastic confirmation filters to identify high-probability entry points.
What It Does
This indicator filters SuperTrend signals through multiple confirmation layers to reduce false signals and improve trade quality. Instead of taking every SuperTrend flip, it only signals when momentum indicators confirm the move.
How It Works
Entry Logic:
LONG: SuperTrend flips bullish + RSI above 40 + Stochastic above 30
SHORT: SuperTrend flips bearish + RSI below 60 + Stochastic below 70
The system uses "in-zone" confirmation rather than requiring exact crossovers, allowing for more practical real-time trading.
Key Features
1. RSI Bands (Visual Price Levels)
Converts RSI levels into actual price bands on your chart
Green band = RSI 40 level (long zone)
Red band = RSI 60 level (short zone)
Gray midline = neutral zone (RSI ~50)
2. Background Shading
Subtle green tint = All conditions aligned for long entry
Subtle red tint = All conditions aligned for short entry
Helps you anticipate signals before they trigger
3. Enhanced Signal Labels
Shows exact RSI and Stochastic values at signal trigger
Displays as: "Buy RSI:42 K:35"
Lets you assess signal strength
4. Flexible Filters
Toggle long/short signals independently
Enable/disable RSI filter
Enable/disable Stochastic filter
Show/hide RSI bands
Show/hide setup background shading
Settings
SuperTrend Parameters:
ATR Period (default: 10)
ATR Multiplier (default: 3.0)
Source (default: HL2)
RSI Filter:
RSI Length (default: 14)
Long Level (default: 40)
Short Level (default: 60)
Stochastic Filter:
Stochastic Length (default: 14)
Smoothing (default: 3)
Long Level (default: 30)
Short Level (default: 70)
Best Use Cases
Trending markets with clear directional bias
Medium to longer timeframes (10min+)
Works particularly well for long-only strategies in bullish markets
Ideal for swing trading and position trading
How to Trade
Wait for background to shade (setup building)
When signal appears, check RSI/Stochastic values on label
Stronger values = higher confidence trades
Exit on opposite signal or use your own risk management
Notes
All filters are optional and can be toggled off
Can be used as long-only or short-only by disabling one direction
Combines trend-following with momentum confirmation for higher win rates
Based on proven technical analysis principles
Confirmed Breakout DetectorThis indicator automatically:
Detects breakouts above recent resistance (pivot high).
Confirms volume surge (≥ 1.5× average 50-day volume).
Compares RS line vs QQQ to ensure leadership.
Checks candle strength (close in upper half).
Verifies MACD slope ≥ 0 (no bearish divergence).
Plots green triangles under confirmed buys, orange for watch-list breakouts.
Displays an on-chart label (HUD) with real-time confirmation status.
Supports TradingView alerts, so you can set “Confirmed Buy Alert” → Send Email / App Notification.
Trend Ali📈 Trend Ali - Advanced Hull Moving Average Indicator
🎯 Overview
This indicator is an advanced and highly customizable version of the Hull Moving Average (HMA), designed for precise trend identification and optimal entry/exit point detection in various market conditions.
✨ Key Features
🔄 Three Hull Moving Average Calculation Methods
The indicator offers three distinct calculation approaches to suit different trading styles:
1. HMA (Standard Hull Moving Average)
Ideal for most market conditions
Excellent balance between responsiveness and noise reduction
Uses WMA (Weighted Moving Average) for calculations
Best for general trend following
2. EHMA (Exponential Hull Moving Average)
Faster reaction to price changes
Perfect for volatile markets and quick scalping
Uses EMA instead of WMA for enhanced sensitivity
Recommended for aggressive trading strategies
3. THMA (Triangular Hull Moving Average)
Smoother than the standard version
Reduces false signals significantly
Optimal for higher timeframes and position trading
Provides clearer trend direction
🛠️ Advanced Settings
Length Parameter
This parameter directly affects the indicator's sensitivity and behavior:
55: Perfect for Swing Trading and identifying entry points
Catches medium-term trends
Good balance for 4H to Daily charts
180-200: Ideal for identifying floating Support/Resistance levels
Acts as dynamic S/R zones
Excellent for position trading
Reduces market noise significantly
Shorter Length = Faster response but more noise
Longer Length = Stronger signals but with more lag
Length Multiplier
View higher timeframe trends without changing your chart
Default value of 6.0 provides macro trend analysis
Increasing this value smooths the line further
Useful for multi-timeframe analysis on a single chart
Creates "straight band" effect for clearer trend visualization
Higher Timeframe Analysis
Display Hull MA from any higher timeframe
Extremely useful for scalping while maintaining trend awareness
Default: 240 minutes (4-hour chart)
Helps avoid counter-trend trades
Provides context for lower timeframe decisions
🎨 Intelligent Color System
The indicator automatically adjusts colors based on trend direction:
🟢 Green: Uptrend (price moving above previous levels)
Indicates bullish momentum
Consider long positions
🔴 Red: Downtrend (price moving below previous levels)
Indicates bearish momentum
Consider short positions or exit longs
🟠 Orange: Neutral (when color coding is disabled)
For traders who prefer monochrome display
📊 How to Use
For Swing Trading (Length: 55)
Wait for color change from red to green for long entries
Wait for color change from green to red for short entries or exits
Use price action confirmation at the Hull MA line
The line acts as dynamic support/resistance
For Support/Resistance (Length: 180-200)
The Hull MA acts as a floating S/R zone
Price bouncing off the line indicates strong trend
Price crossing the line signals potential trend reversal
Use for position sizing and stop loss placement
For Scalping (with Higher Timeframe)
Enable "Show Hull MA from X timeframe"
Select 240 (4H) or higher timeframe
Only take trades in direction of higher timeframe trend
Use lower timeframe for precise entries
Higher timeframe Hull MA keeps you on the right side
Multi-Timeframe Strategy
Use Length Multiplier to see macro trend
Keep your chart on preferred timeframe
Align trades with the smoothed trend direction
Enter on pullbacks to the Hull MA line
🔍 Technical Details
Why Hull Moving Average?
Traditional moving averages face a tradeoff between lag and noise. Hull Moving Average solves this by:
Using weighted calculations for faster response
Applying square root of length for optimal smoothing
Eliminating lag while maintaining smoothness
Calculation Method
The indicator uses sophisticated algorithms:
HMA: Combines multiple WMAs with square root period
EHMA: Applies exponential smoothing for speed
THMA: Uses triangular weighting for stability
RSI Source Input
Allows using any price source (Close, Open, HL2, etc.)
Default: Close price
Experiment with different sources for unique insights
⚙️ Recommended Settings
Day Trading
Mode: EHMA
Length: 55
Length Multiplier: 3-4
Color: Enabled
Swing Trading
Mode: HMA
Length: 55
Length Multiplier: 6
Color: Enabled
Position Trading
Mode: THMA
Length: 180-200
Length Multiplier: 8-10
Color: Enabled
Scalping
Mode: HMA or EHMA
Length: 55
Higher Timeframe: Enabled (240 or higher)
Color: Enabled
💡 Pro Tips
Trend Confirmation: Wait for 2-3 candles to confirm color change before entering
Divergence: Watch for price/Hull MA divergence for reversal signals
Volume: Combine with volume analysis for stronger signals
Multiple Instances: Add indicator twice with different settings for multi-timeframe view
Backtesting: Test different Length values for your specific asset and timeframe
Risk Management: Use Hull MA distance for stop loss placement
⚠️ Important Notes
No indicator is 100% accurate - always use risk management
Best used in combination with price action and other technical analysis
Different markets may require different settings
Backtest thoroughly before live trading
Consider market volatility when adjusting parameters
Micro fast trendline [sma] Overview
Micro Fast Trendline is an automated trendline drawing tool that connects pivot points in real-time. It dynamically creates trendlines between consecutive pivot highs and pivot lows, extending them forward to visualize potential support and resistance trajectories.
How It Works
Pivot Detection System
The indicator uses a symmetric pivot detection algorithm:
1. Scans for pivot highs: local peaks with lower highs on both left and right sides
2. Scans for pivot lows: local troughs with higher lows on both left and right sides
3. Confirms pivots only after the specified number of right bars have formed
4. Default settings: 5 bars left + 5 bars right (customizable)
Trendline Construction
When a new pivot is detected:
- **For Pivot Highs**: Draws a descending trendline from the previous pivot high to the current one (bearish)
- **For Pivot Lows**: Draws an ascending trendline from the previous pivot low to the current one (bullish)
- Calculates the slope between the two pivots
- Extends the line forward based on that slope for the specified number of bars (default 30)
Line Management System
The indicator includes intelligent line management:
- **Maximum Lines Control**: Limits the number of displayed trendlines (default 4, max 10)
- **Automatic Cleanup**: Removes oldest lines when the maximum is exceeded
- **Extension Expiry**: Deletes lines after they've extended beyond their lifespan
- Uses arrays to track pivot history and associated trendline objects
Key Features
- **Automatic Drawing**: No manual trendline drawing required
- **Real-time Updates**: Creates new trendlines as pivots form
- **Slope-based Extension**: Projects trendlines forward using calculated slope
- **Memory Management**: Automatically cleans up old lines to prevent clutter
- **Dual Tracking**: Separate systems for bullish and bearish trendlines
- **Optional Pivot Markers**: Can display pivot points for validation
Parameters
Pivot Configuration
- **Left Bars** (default 5): Number of bars to the left of the pivot for confirmation
- **Right Bars** (default 5): Number of bars to the right of the pivot for confirmation
- Higher values = fewer but more significant pivots
Visual Configuration
- Show Pivot Points (default off): Display triangles at confirmed pivots
- Bullish Line Color (default dark green): Color for upward trendlines
- Bearish Line Color (default dark red): Color for downward trendlines
- Line Width (default 1): Thickness of trendlines
- Maximum Lines (default 4, range 1-10): Maximum concurrent trendlines
- Line Extension (default 30 bars, range 10-200): Forward projection length
Interpretation
Bullish Trendlines (Green)
- Connect consecutive pivot lows
- Act as dynamic support levels
- Upward slope indicates strengthening uptrend
- Price breaking below suggests weakening support
Bearish Trendlines (Red)
- Connect consecutive pivot highs
- Act as dynamic resistance levels
- Downward slope indicates strengthening downtrend
- Price breaking above suggests weakening resistance
Trading Applications
- **Breakout Trading**: Watch for price breaking extended trendlines
- **Support/Resistance**: Use as dynamic S/R levels
- **Trend Confirmation**: Slope direction confirms trend strength
- **Reversal Signals**: Multiple trendline breaks may indicate reversals
Technical Implementation
This indicator uses:
- Custom type definition (PivotData) to store pivot price, time, and line object
- Array-based data structure for efficient pivot history management
- Dynamic line objects with calculated slope extension
- Automatic memory cleanup to prevent performance degradation
- Separate processing loops for highs and lows to avoid conflicts
Originality Statement
This indicator features a unique approach to automated trendline creation:
- Implements a custom data structure combining pivot data with line objects
- Uses slope-based mathematical projection for realistic line extensions
- Employs an intelligent cleanup system that removes expired lines automatically
- Maintains separate arrays for bullish/bearish trendlines with independent management
- Projects trendlines forward using calculated slope rather than simple horizontal extension
The combination of pivot detection, slope calculation, and automated line lifecycle management creates a hands-free trendline system.
Best Practices
- Lower pivot bar settings (3-5) for faster, more responsive trendlines
- Higher pivot bar settings (7-15) for major swings and longer-term trends
- Adjust line extension based on your trading timeframe
- Reduce maximum lines on lower timeframes to avoid clutter
- Increase maximum lines on higher timeframes for historical context
Works on all timeframes and asset classes. For educational purposes only. Not financial advice.
TrendViz - Smart Money ConceptsTrendViz – Smart Money Concepts
See structure, liquidity, and institutional footprints in real time.
Overview
Trend Viz – Smart Money Concepts is a comprehensive SMC toolkit that fuses market-structure (BOS / CHoCH), volumetric order blocks, fair-value gaps (FVG / Breakers), Swing Failure Patterns (SFP), equal highs / lows, and liquidity zones into one clean, on-chart visualization.
It’s designed for intraday precision (0DTE / indices) and swing confluence, with windowed processing for performance on large histories.
Key Capabilities
Market Structure Engine – Detects BOS / CHoCH with adjustable swing length, “Extreme vs Adjusted Points” logic, optional trend-based candle coloring, sweep marks, and labeled lines / bubbles.
Volumetric Order Blocks – Builds bullish / bearish OBs (including breaker blocks), mitigation methods (Close / Wick / Avg), overlap control, mid-line, and activity split (buy vs sell) with per-OB volume metrics.
Fair Value Gaps (FVG & Breakers) – Auto-detects FVGs, mitigations, optional extension, mid-lines, overlap filtering, and raid marking.
Swing Failure Pattern (SFP) – Volume-aware SFPs, directional filters (Trend-Following / Counter-Trade), deviation projections (levels + optional fill).
Equal Highs / Lows & Liquidity Concepts – Marks EQH / EQL across multiple horizons, buyside / sellside zones (area or line), liquidity prints on candles, and sweep zones after BOS / CHoCH.
Performance-First Design – Window size limits structure computations; configurable max objects; overlap suppression reduces clutter.
Inputs & Settings
Market Structure – Window size, Swing limit, Candle coloring, Text size, Algorithmic mode, Swing length, Strong/Weak HL, Sweeps, Bubbles, Mapping.
Volumetric Order Blocks – Show Last N blocks, Breakers, Construction mode, ATR length, Mitigation method, Metrics + Mid-line, Hide Overlap.
Fair Value Gap / Breakers – Enable mode, Show Last N, Threshold, Mid-line + Extension, Hide Overlap, Raid Display.
Swing Failure Pattern (SFP) – Count, Deviation Area, Colors, Filtering mode (Trend / Counter), Volume threshold, Label size.
Liquidity Concepts – Equal H&L scope, Liquidity prints, Buyside/Sellside zones (area or line), Sweep Area threshold.
How to Use It
Quick Start
Add the indicator to your chart → leave defaults.
For 0DTE / intraday use 1 – 5 min timeframes; for swing use 1H – 4H.
Turn on Color Candles to see bullish / bearish bias.
Enable Order Blocks (Show Last 5 – 10) and FVG (3 – 5) with Mitigation = Wick.
Activate SFP with Volume Threshold ≈ 0.5 – 1.0 and Trend-Following filter.
Core Workflows
Trend-Continuation Entry – Wait for CHoCH → BOS alignment → FVG mitigation or OB mid-line retest.
Reversal Entry – Opposing CHoCH + sweep (x) + fresh OB confirmation.
Liquidity Sweep Fade – Raid EQH/EQL + SFP (Counter-Trade) → target prior FVG or opposite OB.
0DTE / Index Checklist
Timeframe 1–5 min · Adjusted Points · mslen = 3–5.
OB Show Last = 5–10 · Mitigation = Wick · Hide Overlap = Recent.
FVG Show = 3–5 · Threshold = 0.1–0.3.
SFP Trend-Following for momentum, Counter-Trade for range.
Trade only after CHoCH → BOS alignment near OB / FVG.
Tips & Behavior
Confirmation / Repainting – Structure anchors confirm after right bars; no repaint once locked.
Performance – Reduce Window size, counts, and overlaps for speed.
Clutter Control – Hide Overlap, limit count, prefer mid-lines over fills.
Mitigation Choice – Wick (strict), Close (lenient), Avg (balanced).
Alerts – Not included by default (visual tool only).
Example Setups
Momentum Pullback – After BOS up, FVG fill + OB reclaim = entry.
Liquidity Sweep Fade – EQH raid + bear SFP = fade to prior FVG.
Breaker Flip – Mitigated OB turns breaker; trade retest.
Disclaimer
This indicator is for educational and analytical purposes only.
Not financial advice. Backtest and apply proper risk management before using live.
Tags
#SmartMoneyConcepts #OrderBlocks #BOS #CHoCH #FVG #Breakers #SFP #Liquidity #EQH #EQL #0DTE #SPX #MarketStructure #TrendViz #TradingView
ZarzaZarza All-in-One Indicator for God’s Kingdom
“But remember the Lord your God, for it is He who gives you the power to get wealth, that He may establish His covenant.” — Deuteronomy 8:18
The Zarza All-in-One Indicator is more than a trading tool — it’s a divinely inspired system designed to help Kingdom traders operate with clarity, discipline, and spiritual alignment in the markets.
Built to detect momentum shifts, liquidity zones, reversals, and smart-money movements, this indicator brings together the best of technical precision and prophetic purpose.
This isn’t just about charts — it’s about stewardship.
Every trade is an act of faith and discernment, partnering with Heaven’s wisdom to prepare for the great wealth transfer that will fund God’s Kingdom projects and reach souls across the nations.
VMS Momentum Trend Matrix Indicator [09.00 to 23.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:00 AM to 23:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-11:00 AM: Early session momentum established
• 12:30-16:30 AM: Mid-session confirmation
• 21:30-23:00 PM: closing session momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-18:00 PM: Low liquidity period
• After 22:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
________________________________________
⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
________________________________________
🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
Orderblocks & BreakersThis indicator identifies potential orderblocks and breakers based on recent swing highs and lows. It is built to offer a structured, customizable, and noise-controlled view of how price interacts with supply and demand levels.
The script applies pivot-based swing detection to identify swing highs and lows.
Bullish Orderblocks: The script Identifies and stores the last down candle before a swing high is breached and confirms and plots the orderblock with a market structure break (close above the swing high).
Bearish Orderblocks: The script Identifies and stores the last up candle before a swing low is breached and confirms and plots the orderblock with a market structure break (close below the swing low).
When price later closes through an existing orderblock, it is reclassified as a Breaker and recolored accordingly. (all colors can be changed in the settings)
What Makes It Different
Unlike most orderblock tools that simply mark every swing-based block, this version introduces:
1. Chop Control – automatically hides breakers that price repeatedly closes through (2 closes after the orderblock becomes a breaker), keeping only relevant zones visible.
2. Recent Block Filtering – limits how many of the recent orderblocks or breakers are displayed, preventing chart clutter.
3. Dynamic Updating – orderblocks automatically convert to breakers when price closes beyond them, with clear color changes.
These features make it easier to study cleaner price structure without manually managing old or invalid zones. The optional Chop Control filter can reduce overlapping or repeatedly invalidated zones to keep the chart clearer.
Customizable Parameters
- Swing detection length (shorter means more aggressive pivot detection, longer means less aggressive so less highs/lows detected)
- Number of recent blocks to display
- Visibility toggles for orderblocks or breakers
- Color and transparency controls for each type
Alerts
Alerts can be set to trigger when price tests any defined zone.
Purpose
This indicator is designed as a price structure visualization and study tool.
It may assist in understanding how price interacts with previously active regions, but it does not produce signals or trade recommendations.
Optimal Retracement📘 Optimal Retracement
Fibonacci Retracement Confluence Indicator
(Protected Source)
🧭 Overview
Optimal Retracement is a clean, professional Fibonacci retracement engine that finds price cluster zones where multiple retracements from recent swings align within a tight range. It mirrors the minimalist style of your projection tool: single horizontal lines, right-edge labels with ratio and price, optional price-scale markers, and a clustering core that designates one Prime retracement level with spaced Secondary levels.
⚙️ Core Features
Automatic Trend Bias
Select Auto (EMA-based), Up, or Down to focus calculations on the relevant swing direction.
Swing-Based Anchoring (Non-Repainting)
Builds swing legs from confirmed pivots (left/right bars), scanning a user-defined number of recent swings before computing retracement sets.
Fibonacci Retracements (Boroden)
Standard ratios: 0.236, 0.382, 0.500, 0.618, 0.786
• Up bias (Low→High): computes pullback support below the high.
• Down bias (High→Low): computes pullback resistance above the low.
Cluster Engine (Confluence Finder)
Groups nearby retracement levels within a tick-based tolerance, selects the highest-overlap Prime Cluster, and filters Secondary targets using a minimum spacing rule—keeping charts crisp and readable.
Smart Visualization
• One line per level, extending right a fixed length (configurable).
• Compact right-edge labels (ratio + exact price).
• Optional price-scale markers (Prime + up to two Secondaries).
• Distinct colors/widths for Prime vs Secondary levels.
Alerts Built-In
• Near Prime Cluster — when price approaches the Prime zone.
• Crossed Prime Cluster — when price breaks through the Prime zone.
(Optional runtime alerts include symbol, timeframe, and price.)
🎯 How to Use
Timeframe: Works on any TF; many prefer 1H–Daily for structure.
Bias: Set Auto, Up, or Down to align with trend context.
Swings: Tune Pivot Left/Right and Swings to Scan (e.g., 5–8).
Ratios: Toggle which retracement ratios to include.
Clustering: Adjust Cluster Tolerance (ticks), Min Members, and Min Spacing to instrument volatility/tick size.
Read: Use the Prime retracement cluster as your decision zone; Secondaries offer alternates if Prime is invalidated.
Alerts: Enable Near / Cross alerts to automate monitoring.
💡 Why It’s Different
Basic fib tools draw static lines from one swing. Optimal Retracement aggregates retracements across multiple recent swings and performs mathematical clustering to isolate the most overlapped zone. You get fewer lines, higher informational density, and an objective Prime level—a clean pullback map that pairs perfectly with projection/extension tools.
🔐 Protected Source Notice
Published as a Protected Script to preserve proprietary clustering, swing selection, and visualization design. All calculations, alerts, and visuals are fully functional while the core logic remains secured, consistent with TradingView’s standards for unique, non-trivial scripts.
⚠️ Disclaimer
For educational and analytical purposes only. This tool does not constitute financial advice or performance guarantees. Always perform independent analysis and manage risk appropriately.
🏷 Credits
Methodology inspired by Carolyn Boroden’s Fibonacci work (retracements & price clusters), adapted into a modern, cluster-driven retracement workflow with a minimal chart footprint.
Luxy Momentum, Trend, Bias and Breakout Indicators V7
TABLE OF CONTENTS
This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7.
Why This Indicator is Different
Who Should Use This
Core Components Overview
The UT Bot Trading System
Understanding the Market Bias Table
Candlestick Pattern Recognition
Visual Tools and Features
How to Use the Indicator
Performance and Optimization
FAQ
---
### CREDITS & ATTRIBUTION
This indicator implements proven trading concepts using entirely original code developed specifically for this project.
### CONCEPTUAL FOUNDATIONS
• UT Bot ATR Trailing System
- Original concept by @QuantNomad: (search "UT-Bot-Strategy"
- Our version is a complete reimplementation with significant enhancements:
- Volume-weighted momentum adjustment
- Composite stop loss from multiple S/R layers
- Multi-filter confirmation system (swing, %, 2-bar, ZLSMA)
- Full integration with multi-timeframe bias table
- Visual audit trail with freeze-on-touch
- NOTE: No code was copied - this is a complete reimplementation with enhancements.
• Standard Technical Indicators (Public Domain Formulas):
- Supertrend: ATR-based trend calculation with custom gradient fills
- MACD: Gerald Appel's formula with separation filters
- RSI: J. Welles Wilder's formula with pullback zone logic
- ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics
- ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction
### Custom Implementations
- Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing)
- All code implementations are original
### ORIGINAL FEATURES (70%+ of codebase)
- Multi-Timeframe Bias Table with live updates
- Risk Management System (R-multiple TPs, freeze-on-touch)
- Opening Range Breakout tracker with session management
- Composite Stop Loss calculator using 6+ S/R layers
- Performance optimization system (caching, conditional calcs)
- VIX Fear Index integration
- Previous Day High/Low auto-detection
- Candlestick pattern recognition with interactive tooltips
- Smart label and visual management
- All UI/UX design and table architecture
### DEVELOPMENT PROCESS
**AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for:
- Writing Pine Script code based on design specifications
- Optimizing performance and fixing bugs
- Ensuring Pine Script v6 compliance
- Generating documentation
**Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer.
**Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership.
---
1. WHY THIS INDICATOR IS DIFFERENT
Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system.
Key Advantages:
All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance.
Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts.
Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off.
Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops.
R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits.
Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure.
Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance.
No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time.
What Makes It Unique:
Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context.
Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it.
Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table.
Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input.
Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated.
Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style.
---
2. WHO WHOULD USE THIS
Designed For:
Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit.
Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week.
Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you.
Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments.
Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation.
Works Across All Markets:
Stocks (US, international)
Cryptocurrency (24/7 markets supported)
Forex pairs
Indices (SPY, QQQ, etc.)
Commodities
NOT Ideal For :
Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge.
Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution.
Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation.
---
3. CORE COMPONENTS OVERVIEW
The indicator combines these proven systems:
Trend Analysis:
Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style.
Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading.
ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves.
Momentum & Filters:
MACD: Standard MACD with separation filter to avoid weak crossovers.
RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone".
ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum.
Volume Filter: Relative volume confirmation - require above-average volume for entries.
Donchian Breakout: Optional channel breakout requirement.
Signal Systems:
UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points.
Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone.
Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX).
Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips.
ORB Tracker: Opening range high/low with breakout status (intraday only).
PDH/PDL: Previous day levels plotted automatically on intraday charts.
VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs.
---
4. THE UT BOT TRADING SYSTEM
The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility.
Why UT Bot is Superior to Fixed Stops:
Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter:
It TRAILS the stop as price moves in your favor
It WIDENS during high volatility to avoid premature stops
It TIGHTENS during consolidation to lock in profits
It FLIPS when price breaks the trailing line, signaling reversals
Visual Elements You'll See:
Orange Trailing Line: The actual UT stop level that adapts bar-by-bar
Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips
ENTRY Line: Horizontal line at your entry price (optional, can be turned off)
Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers:
- UT trailing line
- Supertrend level
- VWAP
- Swing structure (recent lows/highs)
- Long-term MA (200)
- ATR-based floor
Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes.
Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes.
How UT Bot Differs from Other ATR Systems:
Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these.
Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled.
Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were.
Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts.
Trading Logic:
UT Bot flips direction (Buy or Sell signal appears)
Check Bias Table for multi-timeframe confirmation
Optional: Wait for Base signal or candlestick pattern
Enter at signal bar close or next bar open
Place stop at "Suggested Stop Loss" line
Scale out at TP levels (TP1, TP2, TP3)
Exit remaining position on opposite UT signal or stop hit
---
5. UNDERSTANDING THE MARKET BIAS TABLE
This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias.
Why Multi-Timeframe Analysis Matters:
Professional traders check higher and lower timeframes for context:
Is the 1h uptrend aligning with my 5m entry?
Are all short-term timeframes bullish or just one?
Is the daily trend supportive or fighting me?
Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance.
Table Structure:
Header Row:
On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want)
On daily+ charts: D, W, M (automatic)
Green dot next to title = live updating
Headline Rows - Macro Bias:
These show broad market direction over longer periods:
3 Day Bias: Trend over last 3 trading sessions (uses 1h data)
Weekly Bias: Trend over last 5 trading sessions (uses 4h data)
Monthly Bias: Trend over last 30 daily bars
Quarterly Bias: Trend over last 13 weekly bars
VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high
Opening Range Breakout: Status of price vs. session open range (intraday only)
These rows show text: "BULLISH", "BEARISH", or "NEUTRAL"
Indicator Rows - Technical Signals:
These evaluate your configured indicators across all active timeframes:
Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20")
Price > Long MA (e.g., "Price > SMA 200")
Price > VWAP
MACD > Signal
Supertrend (up/down/neutral)
ZLSMA Rising
RSI In Zone
ADX ≥ Minimum
These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA)
AVG Column:
Shows percentage of active timeframes that are bullish for that row. This is the KEY metric:
AVG > 70% = strong multi-timeframe bullish alignment
AVG 40-60% = mixed/choppy, no clear trend
AVG < 30% = strong multi-timeframe bearish alignment
How to Use the Table:
For a long trade:
Check AVG column - want to see > 60% ideally
Check headline bias rows - want to see BULLISH, not BEARISH
Check VIX row - bullish market regime preferred
Check ORB row (intraday) - want ABOVE for longs
Scan indicator rows - more green = better confirmation
For a short trade:
Check AVG column - want to see < 40% ideally
Check headline bias rows - want to see BEARISH, not BULLISH
Check VIX row - bearish market regime preferred
Check ORB row (intraday) - want BELOW for shorts
Scan indicator rows - more red = better confirmation
When AVG is 40-60%:
Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments.
Unique Features:
Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated.
Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy.
Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%.
Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed.
Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday.
---
6. CANDLESTICK PATTERN RECOGNITION
The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars.
Why These Six Patterns:
These are the most statistically significant reversal patterns according to trading literature:
High win rate when appearing at support/resistance
Clear visual structure (not subjective)
Work across all timeframes and assets
Studied extensively by institutions
The Patterns:
Bullish Patterns (appear at bottoms):
Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal.
Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers.
Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal.
Bearish Patterns (appear at tops):
Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal.
Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers.
Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal.
Interactive Tooltips:
Unlike most pattern indicators that just draw shapes, this one is educational:
Hover your mouse over any pattern emoji
A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it
No need to memorize - learn as you trade
Noise Filter:
"Min candle body % to filter noise" setting prevents false signals:
Patterns require minimum body size relative to price
Filters out tiny candles that don't represent real buying/selling pressure
Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks)
How to Trade Patterns:
Patterns are NOT standalone entry signals. Use them as:
Confirmation: UT Bot gives signal + pattern appears = stronger entry
Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit
Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected
Best combined with:
UT Bot or Base signal in same direction
Bias Table alignment (AVG > 60% or < 40%)
Appearance at obvious support/resistance
---
7. VISUAL TOOLS AND FEATURES
VWAP (Volume Weighted Average Price):
Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session.
Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe.
Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses.
Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode.
Use VWAP as:
Directional bias (above = bullish, below = bearish)
Mean reversion levels (outer bands)
Support/resistance (the VWAP line itself)
Previous Day High/Low:
Automatically plots yesterday's high and low on intraday charts:
Updates at start of each new trading day
Theme-aware colors (dark text for light charts, light text for dark charts)
Hidden automatically on Daily/Weekly/Monthly charts
These levels are critical for intraday traders - institutions watch them closely as support/resistance.
Opening Range Breakout (ORB):
Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session:
Customizable session times (preset for NYSE, LSE, TSE, or custom)
Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING)
Intraday only - auto-disabled on Daily+ charts
ORB is a classic day trading strategy - breakout above opening range often leads to continuation.
Extra Labels:
Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative.
ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below.
RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral).
These labels provide quick at-a-glance confirmation without needing separate indicator windows.
---
8. HOW TO USE THE INDICATOR
Step 1: Add to Chart
Load the indicator on your chosen asset and timeframe
First time: Everything is enabled by default - the chart will look busy
Don't panic - you'll turn off what you don't need
Step 2: Start Simple
Turn OFF everything except:
UT Bot labels (keep these ON)
Bias Table (keep this ON)
Moving Averages (Fast and Medium only)
Suggested Stop Loss and Take Profits
Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first.
Step 3: Learn the Core Workflow
UT Bot gives a Buy or Sell signal
Check Bias Table AVG column - do you have multi-timeframe alignment?
If yes, enter the trade
Place stop at Suggested Stop Loss line
Scale out at TP levels
Exit on opposite UT signal
Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings.
Step 4: Add Filters Gradually
If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time:
Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction
Try: ADX filter with minimum threshold - only trade when trend strength is sufficient
Try: RSI pullback filter - only enter on pullbacks, not chasing
Try: Volume filter - require above-average volume
Add one filter, test for a week, evaluate. Repeat.
Step 5: Enable Advanced Features (Optional)
Once you're profitable with the core system, add:
Supertrend for additional trend confirmation
Candlestick patterns for reversal warnings
VWAP for institutional anchor reference
ORB for intraday breakout context
ZLSMA for low-lag trend following
Step 6: Optimize Settings
Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read:
What the parameter controls
How it impacts trading
Suggested ranges for scalping, day trading, and swing trading
Start with defaults, then adjust based on your results and style.
Step 7: Set Up Alerts
Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose:
"UT Bot — Buy" for long entries
"UT Bot — Sell" for short entries
"Base Long/Short" for filtered MA cross signals
Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications.
Common Workflow Variations:
Conservative Trader:
UT signal + Base signal + Candlestick pattern + Bias AVG > 70%
Enter only at major support/resistance
Wider UT sensitivity, multiple filters
Aggressive Trader:
UT signal + Bias AVG > 60%
Enter immediately, no waiting
Tighter UT sensitivity, minimal filters
Swing Trader:
Focus on Daily/Weekly Bias alignment
Ignore intraday noise
Use ORB and PDH/PDL less (or not at all)
Wider stops, patient approach
---
9. PERFORMANCE AND OPTIMIZATION
The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast:
Biggest Performance Gains:
Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h.
Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes.
Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization.
Additional Optimizations:
Turn off VWAP bands if you don't use them
Disable candlestick patterns if you don't trade them
Turn off Supertrend fill if you find it distracting (keep the line)
Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects
Performance Features Built-In:
Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar
Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off.
Modular Design: Every component is independent. Turn off what you don't need without breaking other features.
Typical Load Times:
5m chart, all features ON, 7 timeframes: ~2-3 seconds
5m chart, core features only, 3 timeframes: ~1 second
1m chart, all features: ~4-5 seconds (many bars to calculate)
If loading takes longer, you likely have too many indicators on the chart total (not just this one).
---
10. FAQ
Q: How is this different from standard UT Bot indicators?
A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds:
- Volume weighting and momentum adjustment to the trailing calculation
- Multiple confirmation filters (swing, %, 2-bar, ZLSMA)
- Smart composite stop loss system from multiple S/R layers
- R-multiple take profit system with freeze-on-touch
- Integration with multi-timeframe Bias Table
- Visual audit trail with checkmarks
Q: Can I use this for automated trading?
A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required.
Q: Does it repaint?
A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead.
Q: Do I need to use all the features?
A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed.
Q: How do I know which settings to use?
A: Every single input has a detailed tooltip. Hover over any setting to see:
What it does
How it affects trading
Typical values for scalping, day trading, swing trading
Start with defaults, adjust gradually based on results.
Q: Can I use this on crypto 24/7 markets?
A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session".
Q: The Bias Table is blank or not showing.
A: Check:
"Show Table" is ON
Table position isn't overlapping another indicator's table (change position)
At least one row is enabled
"Hide BIAS table on 1D or above" is OFF (if on Daily+ chart)
Q: Why are candlestick patterns not appearing?
A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check:
Pattern toggles are ON
"Min candle body %" isn't too high (try 0.05-0.10)
You're looking at a chart with actual reversals (not strong trending market)
Q: UT Bot is too sensitive/not sensitive enough.
A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance.
Q: Can I get alerts for the Bias Table?
A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation.
Q: Does this work on stocks with low volume?
A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements.
Q: How often should I check the Bias Table?
A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend.
Q: What if UT signal and Base signal disagree?
A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either:
Wait for both to align (safest)
Take the UT signal but with smaller size (aggressive)
Skip the trade (conservative)
There's no "right" answer - depends on your risk tolerance.
---
FINAL NOTES
The indicator gives you an edge. How you use that edge determines results.
For questions, feedback, or support, comment on the indicator page or message the author.
Happy Trading!
Golden Cross Screener [Pineify]Golden Cross Screener Pineify – Multi-Symbol Trend Detection Screener for TradingView
Discover the Golden Cross Screener Pineify for TradingView: a multi-symbol, multi-timeframe indicator for crypto and other assets. Customizable Golden Cross detection, robust algorithm, and intuitive screener design for smarter portfolio trend analysis.
Key Features
Multi-symbol screening across major cryptocurrencies or assets – BTCUSD, ETHUSD, XRPUSD, USDT, BNB, SOLUSD, DOGEUSD, TRXUSD (fully customizable).
Multi-timeframe analysis (e.g., 1m, 5m, 10m, 30m), enabling robust trend detection from scalp to swing.
Customizable Moving Average settings for both Fast and Slow MA (source and length).
Efficient screener table, highlighting Golden Cross events and current asset trends in one panel.
Visual cues for bullish, bearish, and cross states using intuitive color-coding and labels.
Flexible symbol and timeframe inputs to tailor the screener to any portfolio or watchlist.
How It Works
The Golden Cross Screener Pineify leverages the classic Golden Cross methodology—a bullish trend signal triggered when a shorter-term moving average crosses above a longer-term moving average. To improve robustness, you are empowered to configure both Fast MA and Slow MA periods and sources, making the detection logic applicable to any symbol, timeframe, or asset class.
Internally, the script runs dedicated calculations on each chosen symbol and timeframe, generating independent signals using exponential moving averages (EMA). Using the TradingView `request.security` function, it fetches and processes price data for up to eight portfolio assets on four timeframes, displaying the detected Golden Cross, Bullish, or Bearish states in a central screener table.
Trading Ideas and Insights
Spot emerging bullish or bearish trends across your favorite crypto pairs or trading assets in real time.
Capture prime opportunities when multiple assets align with Golden Cross signals—ideal for portfolio rebalancing or rotational strategies.
Analyze trend consistency by monitoring cross events at multiple timeframes for a given asset.
Swiftly identify when short-term and long-term momentum diverge—flagging potential reversals or trend initiations.
The Golden Cross Screener Pineify is not just a trend signal; it’s a holistic multi-asset scanner built for traders who know the power of combining technical breadth with agile timing.
How Multiple Indicators Work Together
This screener stands out with its modular approach: each asset/timeframe pair is monitored in isolation, yet displayed collectively for multidimensional market insight. Each symbol’s price action is processed through independently configured EMAs—Fast and Slow—whose crossovers are analyzed for directional bias. The implementation’s real innovation is in its screener table engine: it aggregates signals, synchronizes timeframes, and color-codes market states, allowing users to see confluences, divergences, and sector trends at a glance.
Combining Golden Cross detection with customizable moving averages and flexible multi-timeframe, multi-symbol scanning means users can fine-tune sensitivity, focus on specific signals, and adapt screener logic for scalping, swing trading, or investing.
Unique Aspects
True multi-symbol screener within the TradingView indicator framework.
Full customization of screener assets, timeframes, and moving averages.
Advanced, efficient use of TradingView table for clear, actionable visualization.
No dependency on standard, static MA settings—adjust everything to match your strategy.
Big-picture and granular trend detection in one tool, designed for both active traders and portfolio managers.
How to Use
Add the Golden Cross Screener Pineify to your TradingView chart.
Choose up to eight symbols—crypto, stock, forex, or custom assets.
Set four timeframes for screening, from lower to higher intervals.
Adjust moving average sources (price, close, etc.) and period lengths for both Fast and Slow MAs to suit your trading style.
Interpret table cells: clear labels and color indicate Golden Cross (trend shift), Bullish (uptrend), Bearish (downtrend) states for each symbol/timeframe.
React to signal alignments—deploy or rebalance positions, increase alert sensitivity, or backtest sequence confluences.
Customization
The indicator’s inputs panel gives full control:
Select which symbols to screen, making it perfect for any asset watchlist.
Pick the desired timeframes—mix daily, hourly, or minute-based intervals.
Adjust Fast and Slow MA settings: switch source type, change period length, and fine-tune detection logic as needed.
Style your screener table via TradingView settings (colors, font sizes, alignment).
Every element is customizable—adapt the Golden Cross Screener Pineify for your specific portfolio, trading timeframe, and strategy focus.
Conclusion
The Golden Cross Screener Pineify elevates multi-symbol trend detection to a new level on TradingView. By combining configurable Golden Cross logic with a powerful screener engine, it serves both precision and broad market insight—crucial for agile traders and strategic portfolio managers. Whether you’re tracking crypto pairs, stocks, forex, or a mix, this tool transforms static trend analysis into an active, multi-dimensional trading edge.
Koncorde Crossing Screener (UP/DOWN) AlertThis indicators works on Koncorde Crossing Pattern, generating alerts when Cross is Up (buy) and Down (sell).
SK Alpha SuiteTrend Dots
Aqua Level 1 Bullish Entry1
Green Level 2 Bullish Entry2
Lime Leve 3 Bullish Entry3 (Full Position)
Light Red Level 1 Bearish : Partial Close 10%-30%
Full Red Level 3 Bearish: Major Close
No StopLoss line hit or its already ended: Full close.
Purple/White Lines
Stop loss line, distance specific to each asset volatility, not fixed distance for all assets.
Close, Medium, Relaxed based on how close you want your stop loss to be.
With in bullish sentiment, if stoploss hits, stoploss will reset again on that bar, shown with white separation
OrderBlocks by exp3rts (Non-Repainting)The OrderBlocks by exp3rts indicator automatically identifies and visualizes bullish and bearish order blocks using confirmed, non-repainting fractals combined with Fair Value Gap (FVG) validation for enhanced accuracy.
This tool is designed to help traders spot high-probability institutional price zones — areas where large buy or sell orders previously caused significant moves — allowing you to anticipate potential reversal, continuation, or mitigation levels with precision.
Core Features
✅ Non-Repainting Logic: Uses confirmed 3- or 5-bar fractals only after full pattern completion.
📈 Dynamic Order Block Detection: Marks both bullish and bearish OBs automatically.
⚖️ FVG Filter (Optional): Optionally require a Fair Value Gap within a user-defined distance to confirm valid OBs.
🎯 Customizable OB Lines: Adjust color, style (solid, dashed, dotted), width, and body/wick placement.
🧹 Auto-Cleanup: Option to remove order block lines once price has been mitigated (touched/filled).
🔺🔻 Fractal Display: Toggle fractal highs/lows on or off for extra structure clarity.
⚡ Optimized for Performance: Uses efficient array management to run smoothly within TradingView’s bar processing limits.
How to Use
Add the indicator to your chart.
Adjust settings such as Fractal Filter (3/5), FVG distance, and Line Style to match your trading preference.
Watch for bullish OBs (green lines) near potential demand zones and bearish OBs (red lines) near supply zones.
Use in confluence with market structure and liquidity concepts for best results.
Settings Overview
Fractal Filter: Choose between 3-bar or 5-bar swing fractals.
Order Block Type: Detect OBs based on Close or High/Low break structure.
FVG Filter: Optionally require nearby Fair Value Gaps.
Delete After Fill: Automatically remove mitigated OBs.
Visuals: Customize line color, thickness, and style for clear chart integration.
Made for any timeframe & any market.
