Trader Otto - Order Blocks + Delta [SMC Pro BlackBox]The Missing Link in SMC Trading: Volume Delta.
Most Order Block indicators fail because they mark every single pivot on the chart, creating noise. The Trader Otto SMC Pro is a BlackBox system that filters institutional zones using Order Flow logic. It only plots an Order Block if the candle demonstrates a genuine injection of smart money volume.
The BlackBox Difference:
This tool doesn't just look at price structure; it looks inside the candle.
Volume & Delta Filter: An OB is only valid if the volume exceeds the institutional average and the Delta (Intra-bar buying/selling pressure) confirms the direction.
ATR Exhaustion Filter: The system automatically rejects "exhaustion candles" (overextended moves) that usually trap retail traders, ensuring you only trade from fresh liquidity zones.
Auto-Mitigation: The blocks automatically extend to the right and disappear instantly when price closes beyond them (mitigation), keeping your chart clean and focused on active zones only.
Data Labels (The X-Ray):
Each Order Block comes with a data tag:
V: Total Volume of the institutional candle (e.g., 15K).
Δ (Delta): The percentage of directional aggression (e.g., +85% means buyers dominated the bar).
Why BlackBox?
To prevent over-optimization, the pivot lookback periods and ATR volatility multipliers are hardcoded based on institutional algorithms, ensuring you are looking at the same structural points as the big desks.
Disclaimer
For educational purposes only. Past performance is not indicative of future results.
Português
O Elo Perdido do SMC: Delta de Volume.
A maioria dos indicadores de Order Block falha porque marca qualquer topo ou fundo, poluindo o gráfico. O Trader Otto SMC Pro é um sistema BlackBox que filtra zonas institucionais usando Lógica de Fluxo. Ele só plota um Order Block se a vela demonstrar uma injeção real de dinheiro "esperto" (Smart Money).
A Diferença BlackBox:
Esta ferramenta não olha apenas para a estrutura do preço; ela olha para dentro da vela.
Filtro de Volume e Delta: Um OB só é validado se o volume superar a média institucional e o Delta (pressão de compra/venda intra vela) confirmar a direção.
Filtro de Exaustão (ATR): O sistema rejeita automaticamente "velas de exaustão" (movimentos esticados demais) que costumam prender o varejo, garantindo que você opere apenas zonas de liquidez novas.
Auto-Mitigação: Os blocos se estendem automaticamente e somem assim que o preço fecha além deles (mitigação), mantendo o gráfico limpo.
Etiquetas de Dados (O Raio-X):
Cada Order Block vem com uma etiqueta de informação:
V: Volume total da vela institucional (ex: 15K).
Δ (Delta): A porcentagem de agressão direcional (ex: +85% significa domínio total dos compradores).
Por que BlackBox?
Para evitar superotimização, os períodos de pivô e os multiplicadores de volatilidade (ATR) são blindados com base em algoritmos institucionais.
Análisis de tendencia
Trader Otto - Phantom Pivot [BlackBox]Trader Otto - Phantom Pivot
Description
English
Overview: The Fractal Architecture of Price
The Trader Otto Phantom Pivot is a high-precision swing trading system based on Fractal Geometry and Fibonacci sequences. Unlike standard zig-zag indicators that lag significantly, this BlackBox tool identifies market turning points (Pivots) in real-time across three hierarchical dimensions: Short, Medium, and Long Term.
The "Phantom" Logic (Smart Filter)
What makes this system unique is its Smart Validation Engine.
Signal Generation: The indicator projects a "Phantom Star" (★) immediately when a potential market top or bottom is detected based on our proprietary fractal algorithm.
Noise Cancellation: If the price invalidates the pivot within a specific window (10 bars), the system recognizes it as "market noise" and removes the signal to keep your chart clean. This ensures that historical signals remaining on the chart represent true structural points.
Hierarchy of Signals
★ The Phantom Star (Long Term): The strongest reversal signal. Represents a structural shift in the market trend. Ideally used for entering major swings.
○ The Orb (Medium Term): Represents corrections or pullbacks within the main trend. Good for adding to positions.
- The Dot (Short Term): Minor fluctuations. Useful for scalping or trailing stops.
Key Features
BlackBox Tuning: The fractal periods are hardcoded using Fibonacci optimized for modern market volatility.
Custom Visuals: Choose your preferred icon style (Star, Sunflower, Triangles) to match your chart aesthetics.
Dynamic Sizing: Signal markers automatically adjust size based on their hierarchy/importance.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results.
Trader Otto - FairPrice Arbitrage Win/Bra [BlackBox]Trader Otto - FairPrice Arbitrage
Description
Specialized Arbitrage System for Brazilian Index Futures (B3)
The Otto FairPrice Arbitrage is a quantitative tool engineered specifically for the unique dynamics of the Brazilian market. Unlike generic indicators that rely solely on price history, this BlackBox system calculates the Real-Time Fair Value of the Index Future (WIN) by integrating the local macroeconomic tripod: Interest Rates (DI Curve), Exchange Rates (USD/BRL), and Global Correlation (S&P 500).
Why is this essential for trading Brazil?
In the B3 market, the "Fair Price" is mathematically driven by the high carry cost of local interest rates. This indicator solves the pricing equation in real-time, revealing when the market price deviates from its fair value (Arbitrage Opportunity).
The BlackBox Logic
Macro Integration: Connects to a multi-market data feed (DI1, SPX, VIX) to compute the "Justíssimo" (True Fair Value) line.
Settlement Tracking ("Ajuste"): Automatically plots the Prior Day's Settlement Price — the most critical liquidity level for Brazilian institutional traders — along with the Prior High, Low, and Open.
Mean Reversion: Detects "Cheap" or "Expensive" distortions based on calculated spread thresholds optimized for local volatility.
Key Features
Dynamic Fair Value: Real-time support and resistance lines based on arbitrage math.
Rollover Dashboard: Monitors days-to-expiration for the current futures contract.
Trend Filter: An integrated HalfTrend algorithm ensures arbitrage entries align with the immediate market flow.
Liquidity Defense: Visual markers for potential institutional defense zones.
Disclaimer
This tool is designed for educational and analytical purposes. Past performance is not indicative of future results.
Overview: The Institutional Edge
Retail traders look at charts; Institutions look at Fair Value.
The Otto FairPrice Arbitrage is a quantitative engine designed to calculate the theoretical "Fair Price" of index futures in real-time. By processing cross-market data (S&P 500, Interest Rates/DI, Exchange Rates, and Volatility), this BlackBox system identifies when the market price deviates from its mathematical reality—creating arbitrage opportunities.
How it Works (The BlackBox Logic)
Unlike lagging indicators (like MA or MACD), this tool looks "outside" the chart. It connects to a multi-market data feed to compute the "Justíssimo" (True Fair Value) line.
Arbitrage Signal: When the current price moves too far from the calculated Fair Value (Spread > Threshold), the system detects a distortion (Cheap/Expensive), signaling a high-probability Mean Reversion trade.
Time-Lock Algorithm: The system automatically locks the correlation factor at specific liquidity windows (10:30 AM) to prevent noise during low-volume hours.
Key Features
Dynamic Fair Value Lines: Plots the calculated Fair Price, Maximum, and Minimum arbitrage boundaries directly on the chart.
Smart Dashboard: Monitors contract expiration (days to rollover) and real-time S&P correlation percentages.
Decision Points: Automatically plots critical levels (Prior Day's Adjustment/Settlement, High, Low, and Open) + Today's "Waterline" (Open).
Trend Filter: Built-in HalfTrend algorithm to ensure you only arbitrage in favor of the immediate flow.
Why BlackBox?
To ensure precision, all ticker references (WIN, DI, SPX) and arbitrage formulas are hardcoded and optimized for the current volatility regime, preventing user error and ensuring consistent data integrity.
Disclaimer
For educational purposes only. Past performance is not indicative of future results.
Trader Otto - Adaptive RSI Candles - QuantQuali [BlackBox]Trader Otto Adaptive RSI Matrix
Texto da Descrição (Copie e Cole)
English
Overview
The Trader Otto Adaptive RSI Matrix is a next-generation momentum system that transforms the traditional RSI into a dynamic "Heat Map" of price action. Unlike static oscillators (that use fixed 70/30 levels), this BlackBox system adapts to market volatility in real-time using Tanh (Hyperbolic Tangent) mapping to define true exhaustion and reversal zones.
Why use RSI Candles?
Standard lines hide information. By rendering Momentum as Candles, this tool allows you to see the "Price Action of Momentum" itself—revealing breakouts, retests, and failures inside the oscillator window before they happen on the price chart.
Key Features
Adaptive Zoning: Overbought/Oversold levels expand and contract based on volatility (ATR), reducing false signals in trending markets.
Institutional Projection: The system identifies significant changes in momentum (RSI Order Blocks) and projects them directly onto the main price chart as Support/Resistance zones.
QQE Overlay: An internal "Quantitative Qualitative Estimation" engine runs in the background to validate trend direction.
Smart Filtering: Visual "X" markers appear when a signal is mathematically generated but filtered out due to low probability (e.g., trying to sell a strong bull trend).
How to Trade
Trend Colors:
🟢 Green Candles/Bars: Bullish Momentum (Looking for Longs).
🔴 Red Candles/Bars: Bearish Momentum (Looking for Shorts).
Signals:
▲ / ▼ Labels: Confirmed entry points.
"Exaustão" (Exhaustion): Price has reached a statistical extreme (Reversal probable).
Confluence: The strongest setups occur when an RSI Signal aligns with the projected Support/Resistance boxes on the price chart.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results.
Português
Resumo
O Trader Otto Adaptive RSI Matrix é um sistema de momentum de nova geração que transforma o RSI tradicional em um "Mapa de Calor" dinâmico. Ao contrário de osciladores estáticos (com níveis fixos de 70/30), este sistema BlackBox se adapta à volatilidade do mercado em tempo real usando mapeamento TH para definir zonas reais de exaustão.
Por que Candles de RSI?
Linhas comuns escondem informação. Ao renderizar o Momentum como Candles, esta ferramenta permite que você veja o "Price Action do Momentum" — revelando rompimentos e testes dentro do oscilador antes que eles aconteçam no gráfico de preço.
Funcionalidades Principais
Zoneamento Adaptativo: Níveis de sobrecompra/sobrevenda expandem e contraem com a volatilidade.
Projeção Institucional: O sistema identifica Order Blocks de Momentum e os projeta automaticamente no gráfico de preço como zonas de Suporte/Resistência.
Filtro Inteligente: O sistema marca com um "X" sinais de baixa probabilidade.
Aviso de Risco
Ferramenta destinada a fins educacionais. Resultados passados não garantem lucros futuros.
Trader Otto - QQA Matrix - Quant/Quali Analysis [BlackBox]TITLE: Trader Otto - QQA Matrix - Quant/Quali Analysis
DESCRIPTION:
The Trader Otto QQA Matrix is a quantitative trading system engineered to identify high-probability trend continuation and reversal points. Operating as a "BlackBox" model, it simplifies complex calculations into a clean, actionable interface, filtering market noise to focus on decision-making.
This indicator synthesizes three layers of technical analysis into a single execution signal:
Momentum Analysis (Dual Engine): Uses advanced algorithms (selectable between Adaptive RSI or Inverse Fisher Transform) to detect price exhaustion and pivots with mathematical precision.
Trend Filter: A robust trend engine acts as a safety barrier, blocking counter-trend signals and reducing false entries during ranging markets.
Institutional Context: Internally, the system validates signals by checking for relevant price structures (based on volatility and price action concepts) to increase probability.
Key Features
Dual Engine: Choose your preferred trigger engine in the settings.
Smart Filtering: Automatically filters false entries if the macro trend context is not aligned.
Clean Interface: Clear visual signals (QQA BUY / QQA SELL) without chart clutter.
How to Use
Add the indicator to your chart.
Select your "Trigger Engine" in the settings (Adaptive RSI for volatility or Inverse Fisher for speed).
BUY Signal: Wait for the green label. Occurs when momentum crosses up, validated by the trend filter.
SELL Signal: Wait for the red label. Occurs when momentum crosses down, validated by the trend filter.
Disclaimer
Past performance is not indicative of future results. This tool is for educational and analytical purposes only.
ZOE IFVG+his indicator combines the original ICT Inversion Fair Value Gap (iFVG) Detector by ote618 with a manual checklist panel for trade analysis.
Features:
ICT iFVG Detector
Automatically identifies bullish and bearish inversion fair value gaps (iFVGs) based on 3-candle formation logic.
Draws colored boxes on the chart to highlight confirmed iFVG zones.
Sends optional alerts when iFVGs are confirmed, respecting your selected timeframe.
Works exactly like the original ote618 iFVG script, with no modifications to the core detection logic.
Manual Checklist Panel
Displays a customizable checklist to track key market factors:
Liquidity Sweep
HTF FVG
V-Shape Recovery
Inversion FVG
Clear Opposite DOL
SMT Divergence
Assigns a score and grade (A+ to F) based on selected conditions.
Panel position and background can be customized.
Allows traders to visually track trade quality alongside iFVG zones.
Usage:
Use the iFVG boxes to identify high-probability zones for entries and liquidity hunts.
Use the manual checklist to evaluate trades based on additional criteria, creating a structured workflow for market analysis.
Fully compatible with your existing iFVG workflow — the core detection and alerts remain unchanged.
Ideal For:
Traders following ICT concepts, liquidity hunts, and structure-based strategies who want to combine automated FVG detection with a manual trade-quality checklist.
Multi-Metric Market Regime Detector - [KK]This indicator identifies current market behavioral regimes by synthesizing six complementary analytical methodologies. Rather than generating trading signals, it provides contextual analysis to help traders understand market conditions and adapt their strategies accordingly.
Markets cycle through distinct behavioral states - trending efficiently, consolidating in ranges, compressing before breakouts, or transitioning between states. This tool quantifies these conditions using only price action data (OHLC), enabling traders to filter strategies based on current market structure.
Core Methodology
The indicator combines six independent metrics into a weighted composite classification system:
Efficiency Ratio (30% weight)
Measures the signal-to-noise ratio of price movement by comparing net price displacement to total path traveled. High efficiency indicates clean directional movement; low efficiency indicates choppy, noisy conditions.
Choppiness Index (25% weight)
Quantifies whether the market is trending or consolidating by comparing cumulative True Range to actual price range. Values below 38.2 suggest trending behavior; values above 61.8 suggest range-bound consolidation.
Volatility Analysis (20% weight)
Detects compression and expansion cycles using the relationship between Bollinger Bands and Keltner Channels. Compression phases (squeeze conditions) often precede significant directional moves.
Fractal Efficiency Proxy (10% weight)
Analyzes path complexity by comparing net displacement to cumulative range, providing insight into the smoothness versus randomness of price action.
Market Structure (15% weight)
Examines pivot point sequences to identify structural trends. Higher Highs and Higher Lows indicate bullish structure; Lower Lows and Lower Highs indicate bearish structure.
Wick-to-Body Ratio Analysis (qualitative)
Identifies rejection and indecision patterns by measuring the proportion of candle wicks to bodies, highlighting potential reversal zones or liquidity events.
Regime Classifications
The composite scoring system produces four distinct regime states:
TRENDING : High efficiency, low choppiness, clear directional structure. Favorable conditions for momentum and trend-following strategies.
CHOPPY/RANGE : Low efficiency, high choppiness, mean-reverting behavior. Favorable conditions for range trading and counter-trend setups.
COMPRESSION : Volatility squeeze detected, market coiling. Anticipate expansion; reduce position size until breakout confirmation.
TRANSITION : Mixed signals, conflicting metrics, unclear direction. Recommended to reduce exposure and wait for regime clarity.
Visual Features
Regime-Colored Candles (enabled by default)
Candles are colored according to the current regime state for immediate visual identification. Green indicates trending, gray indicates choppy, orange indicates compression, and yellow indicates transition.
Comprehensive Metrics Table (top right)
Displays real-time values for all six metrics along with individual regime assessments and the final composite classification with score.
Regime Guide Table (middle right)
Quick reference guide showing recommended strategies and actions to avoid for each regime state.
Chart Label ( optional)
Summary label displaying current regime and key metric values.
Background Coloring (optional)
Alternative visualization using background colors instead of candle coloring.
Indicator Plots (optional)
Displays Efficiency Ratio and Choppiness Index with threshold reference lines.
Customization Options
All calculation parameters are adjustable:
- Efficiency Ratio lookback period and thresholds
- Choppiness Index length and classification thresholds
- Volatility analysis parameters (BB/KC multipliers and lengths)
- Pivot detection sensitivity (left/right bars)
- Text size controls for both tables (Tiny to Huge)
- Visual element toggles (candles, background, label, tables, plots)
The indicator automatically detects chart theme (dark/light) and adjusts text colors for optimal readability.
Practical Application
This is a context tool, not a signal generator. Use it to:
- Filter trend-following strategies to trending regimes only
- Identify range-bound conditions for mean-reversion setups
- Anticipate breakout opportunities during compression phases
- Reduce exposure during transitional periods with mixed signals
- Improve risk management by matching position size to regime clarity
The indicator works on all timeframes and instruments using only OHLC data. Higher timeframes generally provide more stable regime classifications.
Alert Conditions
Four alert types are available:
- Efficiency Ratio crosses trend threshold
- Choppiness Index enters range territory
- Volatility squeeze released
- Regime state change detected
Technical Notes
Built with Pine Script v5. Uses up to 500 bars of historical data for stable calculations. All metrics are calculated in real-time with no repainting on confirmed pivots. Compatible with all chart themes through adaptive text coloring.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Past performance and theoretical analysis do not guarantee future results. Always conduct independent research and implement appropriate risk management. Trading financial instruments involves substantial risk of loss.
Usage Philosophy
The goal is not to trade more frequently, but to think more clearly about market conditions. Use this tool to develop deeper intuition about market structure and to enforce discipline by avoiding low-probability setups during unfavorable regime conditions.
cd_bias_profile_Cxcd_bias_profile Cx
Overview:
cd_bias_profile_Cx is an all-in-one professional analysis terminal designed to determine market direction (Bias) based on institutional trading strategies (SMC & ICT). This tool integrates multi-timeframe (MTF) data, institutional liquidity sweeps, SMT divergences, and candle closure confirmations into a single cohesive structure, providing traders with a comprehensive map of institutional Order Flow.
🚀 Advanced Hierarchical Profile Architecture
The indicator visualizes the market through a three-layered hierarchy (Major, Middle, Plot), allowing you to see exactly which higher-tier structure the current price action is serving.
• Smart Timeframe (Auto-TF) Logic: In "Auto" mode, the system automatically selects the most logical hierarchy based on your chart interval using the following sequence:
.
o Example Scenario: If your chart is set to 5-Minute (5m):
Major (Macro Structure): H4 (The outermost container candle)
Middle (Intermediate Structure): H1 (Mid-scale candle)
Plot (Local Structure): 15m (The smallest nested high-timeframe candle)
• Nested Candle Design: Each high-timeframe candle is rendered as transparent boxes with specific body colors, encapsulating the lower-tier price action (OHLC) within it.
• Cyclical Refresh: Profile drawings reset automatically at the opening of every new Major timeframe candle. This ensures the analysis remains focused on the freshest institutional cycle.
🧠 Bias Algorithm & Decision Mechanism
To eliminate subjective interpretation, the algorithm operates on a purely mathematical logic based solely on Candle Closures (Close). It generates three distinct outcomes:
1. Reversal:
o Condition 1: A liquidity Sweep must occur at the HTF level.
o Condition 2 (SMT Confirmation): If no sweep is detected on the primary pair, the algorithm automatically scans correlated assets (e.g., checking GBPUSD or DXY for an EURUSD trade). An SMT Divergence in a correlated asset is accepted as institutional manipulation confirmation.
o Final Trigger: Once a CISD (Change in State of Delivery) occurs on the Lower Timeframe (LTF), the "Reversal" bias is confirmed.
2. Continuation: When a high-timeframe candle closes convincingly above/below the previous candle's High or Low, the algorithm reports that the current trend maintains its strength.
3. Indeterminate: In "non-delivery" zones where the market neither sweeps liquidity nor creates a structural break, the algorithm remains neutral to prevent overtrading.
🚨 Alert Center
The alert system is designed for high-confluence setups, ensuring you never miss a structural shift:
• Flexible TF Selection: You can manually toggle which of the 5 tracked timeframes (1M, 1W, 1D, etc.) should trigger notifications based on your strategy.
• "Any of Them" Function: When enabled, an instant notification is sent the moment a "Reversal" or "Continuation" signal forms on any of your selected timeframes.
• Directional Filtering: You can filter alerts to receive only "Bullish" or only "Bearish" setups, allowing you to align with your primary macro bias.
⚙️ Pro Tips for Usage
• Invalidation Lines: The dashed lines on the chart indicate the exact price level where the institutional bias is "invalidated." These serve as professional-grade stop-loss levels.
• B-ADJ Support: For Futures traders, back-adjustment settings are optimized within the code for seamless data transition.
• Manual Mode: If you wish to use custom timeframes not found in the standard sequence (e.g., 2-hour or 3-day charts), you can define them via the "Manuel" settings toggle.
• High-probability trade setups can be expected when there is multi-timeframe alignment in the same direction.
• Strategic Use Cases: The indicator is optimized for trading Distribution Phases within advanced frameworks. Whether you are looking for the C3 candle in the Universal Model or the Distribution (D) phase in an AMD (Power of 3) setup, this tool provides the necessary structural confirmation.
• User Discretion: Please note that this is a directional bias tool. While it identifies which direction is supported by multi-timeframe alignment, the final execution and entry management on lower timeframes are the user's responsibility.
• Always remember to seek additional confluence before executing a trade.
Chart Visual
Profile Visual
Example (SMT Usage) : On the chart, while the 10:00 H1 candle on GBPUSD sweeps its previous candle's liquidity, its correlated pair EURUSD does not show a sweep. If the "Use SMT for Bias" option is enabled, this SMT divergence with the correlated pair is accepted as a valid HTF Sweep. Upon the new candle open, once a 5m CISD confirmation occurs on EURUSD, the Bias Table will display "Bearish" for the H1/5m row.
Entry examples:
Please feel free to share your feedback and suggestions in the comments below.
Happy trading!
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
Supertrend, by ParagonSignalsThis indicator implements a trend-following overlay with flow-conditioned preprocessing, regime conditioning, and explicit signal lifecycle governance.
Input engineering (flow-conditioned baseline):It replaces raw price with an engineered baseline designed to capture effective directionality modulated by relative participation.
The internal signal is kept robust and stable via robust scaling, outlier clipping, and a finite-memory integrator to mitigate structural drift.
Trend engine (SuperTrend on engineered series): It computes SuperTrend on the engineered baseline, shifting the trend logic from pure price to a more stable representation of directional pressure and reducing sensitivity to single-bar noise.
Regime conditioning: It estimates a continuous tradeability index (0–1) combining directional efficiency, relative volatility expansion, and return-sign stability.
This index governs the system’s aggressiveness.
Signal governance (stateful execution proxy): It maintains a discrete LONG/SHORT/FLAT state with dynamic TTL, cooldown, persistence-gated flips, and degradation-based exits—enforcing hysteresis and exposure control in adverse regimes.
Relative to a classic SuperTrend (fixed parameters and binary logic), this design adds context awareness, signal quality gating, and lifecycle management, with the intent of reducing whipsaw and formalizing entry/exit behavior under uncertainty.
Hope you enjoy this SuperTrend—consider it a free, research-oriented release.
The methodology reflects professional quant practice—robust preprocessing, regime conditioning, and signal governance—features typically reserved for paid toolkits.
Research-grade release, provided as-is: no edge promised, no warranty, no liability — validate statistically and manage risk accordingly.
Disclaimer: This indicator is for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy, sell, or trade any asset. Trading involves risk and you may lose part or all of your capital. You are solely responsible for your decisions.
Advanced Footprint Analysis1. ABSORPTION = BEST ENTRY SIGNALS
When BTC hits support and shows bullish absorption:
You know big money is buying
Price won't fall further (supply absorbed)
Risk/reward is optimal (tight stop below absorption)
Win rate on these setups is 70-80%
2. EXHAUSTION = REVERSAL TIMING
Catches exact moment selling/buying pressure is exhausted
No more guessing "is the dip over?"
Volume confirms the reversal
3. IMBALANCES = CONTINUATION TRADES
Stacked imbalances show trend strength
Enter pullbacks in strong trends
Avoid counter-trend trades when imbalance is strong
4. DELTA DIVERGENCE = EARLY WARNING
Cumulative delta rising but price flat = accumulation (buy setup)
Cumulative delta falling but price rising = distribution (sell setup)
This divergence appears BEFORE price moves
5. FILTERS OUT NOISE
Crypto has tons of fake volume and wash trading
By requiring volume to be significantly above average (2x, 3x), you ignore the noise
Only trade when institutions are active
6. WORKS ON ALL CRYPTO PAIRS
BTC, ETH, SOL - same patterns
Especially powerful on perpetual futures (more volume data)
PRACTICAL 5M CRYPTO ALGO STRATEGY:
LONG ENTRY:
Wait for bullish absorption OR bullish exhaustion
Confirm with positive stacked imbalances (3 bars)
Enter when price breaks above absorption high
Stop below absorption low
Target: 2-3x risk or next resistance
SHORT ENTRY:
Wait for bearish absorption OR bearish exhaustion
Confirm with negative stacked imbalances
Enter when price breaks below absorption low
Stop above absorption high
Target: 2-3x risk or next support
FILTER:
Only trade in direction of cumulative delta trend
Avoid when volume is below average (no institutional activity)
Skylark Digital Assets Monthly Financial Liquidity IndexThe Monthly Financial Liquidity Proxy (FLP) is a standardized, oscillator-style measure of broad financial conditions. Seasons 2.0 is the public-facing framework that translates the FLP into four regime “seasons” to help describe where liquidity sits within a recurring cycle.
What “Seasons 2.0” does
Converts the monthly FLP into a clear regime map (Winter / Spring / Summer / Fall).
Uses explicit thresholds + persistence rules to reduce noise and avoid one-month regime “blips.”
Designed for macro framing and cycle context (not a single-indicator trading system).
#BLTA - CARE 7891🔷 #BLTA - CARE 7891: Ny session toolkit + Risk box + Confirmed levels + Asia box + Structure + Imbalances
Description:
#BLTA - CARE 7891 is an overlay toolkit 🧭🛠️ built for structured discretionary trading preparation. Its main purpose is to keep your chart reading and pre-trade planning in one place by combining time context, confirmed reference levels, liquidity framing, manual risk sizing, and context overlays (structure + imbalances).
🚫 This script is an indicator, not a strategy. It does not place orders.
🧩 Why these modules are combined (and how they work together)
This is not a “mashup for the sake of mixing”. Each module supports a specific step of a practical workflow:
🕒 Time context (new york session mapping)
Background highlights mark precise NY-time windows (day division at 17:00, london blocks, and new york blocks).
This provides the timing framework for when you typically scan, plan, or execute.
📰📅 Confirmed reference levels (previous day/week highs & lows)
Instead of plotting live extremes, this script confirms levels at defined boundaries:
Trading day: 17:00 → 17:00 NY
Weekly boundary: Sunday 17:00 NY
Lines start exactly at the candle where the high/low occurred and extend forward.
Optional “stop on hit” 🧊 freezes a level once price touches it, keeping the chart clean and realistic for forward analysis.
🈵 Asian range liquidity box (session that can cross midnight)
A dedicated Asian range container tracks high/low and an optional 50% midline.
It uses NY timestamps and safely handles sessions that cross midnight (storing the correct session date).
This gives you a daily liquidity “frame” often used for sweeps, breaks, and invalidations.
💸 Manual risk planning (trade box + lot sizing + table)
You select Entry (EP) and Stop (SL) directly on the chart using input.price(..., confirm=true) and time anchors.
The script then calculates:
💰 cash at risk from balance and risk %
📏 stop distance in pips (forex-aware pip sizing)
📦 lot size using units-per-lot and account currency inputs
🎯 target price using a reward ratio
It draws a risk box + target box and shows a compact table for quick verification.
🔁 Re-confirm mode (wizard) is included to prevent “stale” anchor points after timeframe changes or when you want a clean reset. While enabled, the risk table is replaced with a step guide and temporary EP/SL markers.
📈 Market structure overlay (1H zigzag projected to any timeframe)
A zigzag swing engine is computed on 1H via request.security() and projected onto the current chart.
Opacity is automatically reduced on non-1H charts so it stays contextual, not dominant.
Optional live extension of the last leg helps you see the active swing in progress.
📊 Imbalance map (fvg / og / vi) + optional dashboard
The script detects and draws:
🤏 fair value gaps (fvg)
👐 opening gaps (og)
🔎 volume imbalances (vi)
Optional filters allow minimum width by points / % / atr, and each imbalance type can be extended forward.
A dashboard 📱 can summarize bullish/bearish frequency and fill rates for context review.
✅ Quick start (recommended order)
Turn on 🕒 session visualization to align with NY timing.
Enable 📰 pdh/pdl and 📅 weekly highs/lows to map confirmed reference liquidity.
Use 🈵 the asian range box to frame the early-session liquidity container.
Plan your trade with 💸 risk module (pick EP/SL, verify pips + lots + target).
Add 📈 zigzag structure and 📊 imbalances only as supporting context.
⚠️ Notes & limitations
This tool is for planning and chart reading, not automated execution.
Lot sizing is an estimate based on your inputs; always confirm broker contract specs.
Some modules draw many objects (boxes/lines/tables) 🧱, which may slow very small timeframes.
Bollinger Bands and SMAsThis strategy combines Bollinger Bands with Simple Moving Averages (SMAs) to identify trend direction, volatility, and high-probability entry and exit zones. It is effective for stocks, options, and crypto across multiple timeframes.
Bollinger Bands:
Bollinger Bands consist of a middle band (20-period SMA) and upper/lower bands that expand and contract based on market volatility.
• Upper Band: Indicates potential overbought conditions
• Lower Band: Indicates potential oversold conditions
• Band Squeeze: Low volatility; often precedes strong breakouts
• Band Expansion: Rising volatility; confirms momentum moves
Price reactions at the bands help identify reversals, continuations, and breakout setups.
Simple Moving Averages (SMAs):
SMAs define trend structure and dynamic support/resistance.
• SMA 20: Short-term trend and momentum
• SMA 40: Intermediate trend confirmation
• SMA 100: Medium-term trend and strong reaction level
• SMA 200: Long-term trend and major institutional bias
Trend Bias Rules
• Price above SMAs = bullish bias
• Price below SMAs = bearish bias
• SMA crossovers signal trend shifts and momentum changes
Gridbot Ping Pong🏓 Gridbot Ping Pong is a dynamic grid bot indicator that generates buy and sell signals as price oscillates between automatically calculated support and resistance levels. The grid adapts to trending markets through adjustable tilt and anchor parameters, which control the grid slope and shift resistance respectively. Entry signals trigger when price touches grid levels, while take profit and stop signals manage position exits. Unlike traditional grid bots that require horizontal ranges, this indicator maintains its oscillation zone as price trends by tilting and shifting the grid structure to follow momentum. The grid bot approach aims to accumulate gains through frequent touches across multiple grid levels rather than seeking large directional moves. Like a ping pong ball in motion, price oscillates between grid levels — each touch generates a signal.
⚡ THEORY & CONCEPTS ⚡
Grid trading is a systematic approach that places buy and sell orders at predetermined price intervals, creating a grid of orders above and below a set price level. In ranging markets, this method capitalizes on natural price oscillations by buying at lower grid levels and selling at higher ones. Each completed round trip between levels represents a captured opportunity, and the frequency of these oscillations determines the grid's effectiveness. Traditional grid bots excel when price remains within the defined range, methodically accumulating gains as price bounces between levels.
However, traditional grid structures face significant challenges when markets begin to trend. Fixed horizontal levels that performed well during consolidation become liabilities during directional moves. An uptrend leaves buy orders unfilled while sell orders trigger prematurely, and a downtrend creates the opposite problem. Extended trends can result in accumulated positions at increasingly unfavorable prices, with no mechanism to adapt to the new market reality. The static nature of traditional grids assumes markets will return to the mean, yet sustained breakouts regularly invalidate this assumption.
Gridbot Ping Pong addresses these limitations through dynamic grid adaptation. The tilt parameter angles the grid in the direction of the prevailing trend, aligning support and resistance levels with market momentum rather than fighting against it. The anchor parameter creates buffer zones beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a grid shift. When price breaks through these buffers, the entire grid recenters to the new price level. This combination of tilting grids and controlled shifting allows the indicator to maintain grid trading mechanics while acknowledging that markets trend.
The grid adapts through a downtrend and early reversal. Entry signals (▲▼), take profit signals (△▽), and grid shifts demonstrate the ping pong sequence as price oscillates between levels.
The grid structure consists of five levels: two potential support levels below, a center base price, and two potential resistance levels above. These levels are calculated as percentage intervals from a dynamic base price, with the spacing parameter determining the distance between each level. Trend direction is derived from consecutive grid shifts, where multiple shifts in the same direction confirm momentum. The grid restricts entries to the trend direction — buy signals in uptrends, sell signals in downtrends — while counter-trend signals convert to exits when appropriate.
Full market cycle demonstrating grid adaptation through rally, reversal, decline, and recovery. Buy signals dominate during uptrends, sell signals during downtrends, with take profits at boundaries throughout. Two stop signals mark the trend reversals.
Tilt
The tilt mechanic introduces slope to the grid structure based on trend direction and momentum. When consecutive shifts occur in the same direction, the tilt increases, creating a steeper grid that tracks with the trend. As the trend progresses, support levels rise with it — buy signals trigger on pullbacks to these rising levels rather than static levels abandoned by price. Similarly, resistance levels fall during downtrends, keeping sell signals relevant to current price action. If the trend reverses and shifts occur in the opposite direction, the tilt resets and begins building in the new direction. The tilt strength parameter controls how aggressively the grid slopes, with higher values producing steeper angles. Negative tilt values invert this relationship, angling the grid against the prevailing momentum rather than with it. This counter-trend configuration positions support levels lower during uptrends and resistance levels higher during downtrends, favoring mean reversion entries that anticipate pullbacks rather than continuation.
Negative tilt applied during an uptrend. Despite the bullish price action from late November through December, the grids slope downward, positioning buy signals at deeper support levels. Take profit signals appear at resistance as price reaches the upper grid boundaries before pulling back. The counter-trend configuration captures oscillations within the rising market rather than chasing momentum.
Anchor
The anchor mechanic provides resistance to grid shifting. Buffer zones extend beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a shift. Higher anchor values create larger buffers, requiring more significant price movement. As consecutive shifts confirm a trend, the pro-trend buffer shrinks, allowing the grid to follow momentum with increasing ease. This lets the indicator commit to established trends while resisting premature shifts during consolidations. Tilt and anchor work in complementary tension: tilt rewards momentum by angling the grid, while anchor resists excessive shifting by requiring price conviction to recenter. When price breaks through these buffers, the entire grid recenters to the new price level and play continues on a fresh table.
Steady uptrend with minimal tilt. The flat grid segments demonstrate that shifting alone keeps the grid aligned with price action. Buy signals (▲) and take profit signals (▽) alternate as price bounces between levels, accumulating gains through repetition across the entire move.
Sustained uptrend from June through September. The grid follows the trend with increasing ease as consecutive shifts reduce the pro-trend buffer. The October consolidation eventually triggers a downward shift and stop signal, but the system adapts to the renewed uptrend in November with fresh entry signals.
Signal Generation
The indicator generates three signal types. Entry signals (▲▼) trigger when price reaches a grid level in the direction of the trend, initiating a new position. Take profit signals (△▽) trigger when price reaches a grid level against the trend direction while a position is held, capturing gains as the rally continues. Stop signals (⦿) trigger when a grid shift occurs while holding a position adverse to the new shift direction. The ball goes off the table.
Trend reversal from bearish to bullish. The grid follows the downtrend through November with consecutive sell signals. A stop signal (⦿) triggers at the bottom as the grid shifts adversely against the held position. The system resets and adapts to the emerging uptrend in December, generating fresh buy signals as the new direction establishes.
Trigger Options
The signal trigger determines what price data the indicator uses to detect grid touches, balancing responsiveness against confirmation.
Auto : The default setting, using wick-based detection for pro-trend signals and close-based detection for counter-trend signals. This balances responsiveness when entering with the trend against confirmation when signaling against it.
Wick Touch : Generates signals in real-time when the high or low touches a grid level, providing the fastest response to price interaction.
Wick Reverse : Requires the wick to cross through the grid level from the previous bar, confirming the touch before signaling.
SWMA : Uses a Symmetrically Weighted Moving Average as the trigger source, generating signals only when the smoothed price crosses grid levels.
Close : Uses the bar's closing price as the trigger source, providing confirmed signals after each bar completes.
Symmetrically Weighted Moving Average (SWMA) trigger during a trend reversal. The smoothed price line filters intrabar noise, generating signals only when the SWMA crosses grid levels rather than reacting to wick touches. The grid follows the downtrend through November, resets at the bottom, and adapts to the emerging uptrend in December.
Signal Safeguards
The indicator includes built-in protections to reduce overtrading and mitigate risk, keeping the ball in play longer:
Boundary Protection : New entries are blocked at the outermost grid levels where breakout risk is highest. Exits remain permitted at these boundaries.
Signal Spacing : Signals maintain one-level separation from the most recent signal, preventing clusters of entries at similar prices.
Trend Alignment : When conflicting conditions arise, signals align with the prevailing trend direction rather than fighting momentum.
Automatic Profit Taking : Counter-trend interactions convert to take profit signals when a position is held, capturing gains rather than reversing exposure.
Adverse Shift Stops : When the grid shifts against a held position, a stop signal triggers to exit before further adverse movement.
Cautious Breakout Entries : On the first shift in a new direction, entries are restricted to favorable grid levels until the trend confirms through consecutive shifts.
Shift Resistance : Counter-trend shifts always require full buffer conviction, while pro-trend shifts become easier only after the trend is confirmed.
🛠️ CONFIGURATION & SETTINGS 🛠️
Core Parameters
SPACING (%) : Sets the percentage distance between grid levels. Higher values create wider grids with more room between signals, lower values create tighter grids with more frequent signal opportunities.
TRIGGER : Selects the price source for signal detection. See Trigger Options above.
TILT : Controls the grid slope factor in the trend direction.
ANCHOR : Controls resistance to grid shifting.
Visual Settings
GRIDS : Sets the colors for support (lower) and resistance (upper) grid levels.
FILL : Sets the gradient fill colors between the price line and outer grid boundaries.
SWMA : Sets the color of the Symmetrically Weighted Moving Average line.
🏓 PLAYING GRIDBOT PING PONG 🏓
⚪The objective is not to predict where price will go, but to be present at each level when it arrives.
⚪Each touch at a boundary counts. Gains accumulate through repetition, not single swings.
⚪The rally continues until it doesn't. When the ball goes off the table, the game resets.
⚪The grid creates boundaries where price bounces back and forth. The table is set — the ball does the work.
⚪Price oscillates between defined levels. The grid is the table. Everything else is just ping pong.
Tennis is a form of ping pong. In fact, tennis is ping pong played while standing on the table. In fact, all racquet games are nothing but derivatives of ping pong. — George Carlin
⚠️ DISCLAIMER ⚠️
The Gridbot Ping Pong indicator is a visual analysis tool designed to illustrate grid trading concepts and serve as a framework for understanding grid bot mechanics. While the indicator generates entry, exit, and stop signals, no guarantee is made regarding the profitability of these signals. Like all technical indicators, the grid levels and signals generated by this tool may appear to align with favorable trading opportunities in hindsight. However, these signals are not intended as standalone recommendations for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis.
🧠 BEYOND THE CODE 🧠
Gridbot Ping Pong is part of the Grid Bot Series, building on the concepts introduced in the Grid Bot Simulator , Grid Bot Auto , and Grid Bot Parabolic indicators. While those tools established the foundation for grid-based analysis, this indicator introduces dynamic tilt and anchor mechanics that adapt to trending market conditions.
This indicator shares the same educational philosophy as the Fibonacci Time-Price Zones and the Fibonacci Geometry Series - providing frameworks for understanding market concepts through visualization and experimentation rather than black-box signals.
The Gridbot Ping Pong indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Feedback and insights are invaluable to refining and enhancing this tool. We look forward to the creative applications, observations, and discussions this indicator inspires within the trading community.
Clean Strong S/R + EMA150 @IdanSarangaClean Strong Support & Resistance + EMA150
This indicator is designed to highlight only the most important support and resistance levels, while keeping the chart clean and readable.
How it works
• EMA 150 is used as the main trend filter
When price is above the EMA150, the market is considered to be in a bullish environment.
When price is below it, conditions are weaker or bearish.
• Support & Resistance levels are detected automatically
The indicator uses pivot highs and pivot lows, meaning levels are created only where price actually reversed — not estimated or manually drawn.
• Levels extend forward in time
Each level is projected to the right, so you can clearly see where price may react again in the future.
• Dynamic color logic (role reversal)
Levels change color automatically based on current price:
Green → acting as support (below / near price)
Red → acting as resistance (above / near price)
Gray → not currently relevant
• Clean by design
Only the strongest and most recent levels are kept. Older or less relevant levels are removed to avoid clutter.
Who this is for
This indicator is built for swing traders and investors who want:
Clear structure
Objective price levels
Minimal noise
No over-signaling
Best used on
• Daily timeframe
• Works especially well with trend continuation, pullbacks, and breakout / rejection analysis
Clean Strong S/R + EMA150 @IdanSarangaI take the EMA150 to understand if the market is in a good trend or not.
Then I look for points where the market really turned (Pivot High/Low), turn them into support/resistance lines, and color them according to whether the price is above or below them. I only keep the most recent levels so the chart stays clean.
Uptrick: Price Memory TrendIntroduction
Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise.
Overview
This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics.
Originality
The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior.
Inputs
Core Engine
Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive.
Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily.
Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands.
Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity.
Customization
Color Palette: Selects one of six predefined color schemes for bull and bear visuals.
Show Bands: Enables or disables the display of deviation bands.
Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn.
Bands
Trail
Intense
Show Info Table: Toggles display of the real-time trend and volatility status panel.
Table Position: Determines which corner of the chart the info panel appears in.
Text Size: Adjusts font size used within the info table.
Features
Trend Detection
Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime.
Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime.
Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction.
Candle Coloring
Candles are dynamically recolored based on current trend direction: bull, bear, or neutral.
Signal Labels
Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points.
Deviation Bands
Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base.
Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected.
Bands visually indicate overextension and help frame price context relative to memory.
Alerts
Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications.
Info Table
The optional info table displays:
Current trend direction
Band state (calm, hot, or cool)
Price stretch from base
Trend age in bars
Confidence level based on deviation
Memory slope and acceleration
Band width and compression state
Reversion risk based on stretch level
Info Table:
Trade Example:
Logic
Price Memory
A recursive formula updates a memory variable based on the current price.
The memory adjusts only when the price deviates meaningfully from its previous value.
The formula uses a combination of delta-weighting and exponential decay:
> memory := previous_memory + delta × memory_strength
> memory := memory × memory_decay + price × (1 - memory_decay)
This produces a smooth, adaptive base that responds gradually to directional price moves.
Deviation and Bands
Absolute deviation between price and the memory base is calculated and smoothed using an EMA.
The upper and lower bands are then calculated as:
> Upper Band = memory base + (smoothed deviation × band multiplier)
> Lower Band = memory base - (smoothed deviation × band multiplier)
ATR-based extensions can optionally be drawn around these bands for added visual structure.
Trend Logic
Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands.
The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs.
This prevents multiple signals within the same trend direction (non-pyramiding behavior).
Stretch and Band Analysis
Stretch is measured as the deviation of price from memory, normalized by smoothed deviation.
Band width is tracked over time and used to detect compression or expansion.
Band position is calculated to identify where price sits between the upper and lower bands.
Info Table Metrics
Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change.
Confidence Level: Based on stretch intensity, indicating trend strength.
Reversion Risk: Inferred from how extended price is beyond the band.
Compression: Evaluated by comparing current band width to its recent average.
Summary
Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles.
Disclaimer
This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
DJLogicsAn indicator designed to trade fast and efficiently on 3-minute charts — without lagging signals or unnecessary noise.
🎯 What’s inside:
— Clear identification of short-term trend
— Early entry and exit points
— Minimal subjectivity, maximum structure
— Perfect for active trading and scalping
🎥 I’ve recorded a detailed training video where I walk you step by step through:
— how the indicator works
— how to use it correctly
— the mistakes 90% of traders make on lower timeframes
This is a tool for those who actually trade — not just watch the market.
Consolidated Technical ScorecardConsolidated Technical Scorecard (CTS)
The Consolidated Technical Scorecard (CTS) is a structured trend-strength and leadership-quality framework designed to help traders quickly assess whether a stock or index is displaying characteristics of a high-quality up-trend, a constructive developing phase, or a weak / high-risk environment.
Rather than relying on a single indicator or signal, CTS consolidates information from trend structure, momentum conditions, and multi-timeframe alignment into a unified visual scorecard panel on the chart. The goal is to give traders a clear, objective snapshot of where the instrument currently stands in the broader trend hierarchy.
What CTS Helps You Identify
Whether price action reflects true leadership behavior or just short-term strength
When a stock is trending cleanly vs. transitioning / weakening
The quality and durability of the current trend phase
When conditions shift from constructive → strong or strong → vulnerable
A quick, at-a-glance assessment instead of reading multiple indicators manually
CTS is particularly useful for:
> momentum traders
> trend-followers
> position traders
> portfolio screening and strength filtering
> leadership-based stock selection
How the Score Works (High-Level Overview)
CTS evaluates price behaviour across three key pillars:
Trend Structure & Leadership Characteristics
- evaluates whether price structure is consistent with strong trend behaviour
Momentum & Regime Quality
- checks whether momentum supports the prevailing trend environment
Multi-Timeframe Confirmation & Alignment
- validates whether strength is supported across higher-timeframe conditions
Each pillar contributes to an overall 16-point composite score, which is then expressed as a percentage “CTS Strength” reading and a corresponding qualitative verdict (such as High-Quality Up-Trend or Constructive / Watch).
Internal scoring rules and calculation details are proprietary and intentionally abstracted to preserve the design philosophy and intellectual property of the framework.
Scorecard Output Panel
The on-chart panel displays:
> Trend Score
> Momentum Score
> Multi-TF Confirmation Score
> CTS Strength (%)
> Verdict label summarising the current state
Score cell backgrounds use hierarchical colour-grading to provide instant visual context for strength vs. risk conditions. The panel can be positioned or resized via settings, and includes a Light / Dark text-theme option for visibility on any chart background.
Customisation & Display Controls
The CTS Scorecard includes several user-configurable display options to improve usability across different chart layouts and backgrounds:
> Table Positioning - The panel can be placed anywhere on the chart (top-right, top-left, bottom-right, centre positions, etc.) based on user preference.
> Font Size Adjustment - Users can choose from multiple font-size presets to improve readability across different screen sizes and resolutions.
> Light / Dark Mode Text Theme - The indicator includes a selectable text-theme option to ensure optimal visibility on both light and dark chart backgrounds, while retaining consistent scorecard styling.
These controls allow the scorecard to adapt to different workspace setups without affecting the underlying model or scoring behaviour.
Important Notes
> CTS is not a buy/sell signal generator
> It is a trend-assessment and confirmation tool
> It is most effective when combined with:
- price action analysis
- risk management
- broader market context
> Like any analytical model, it should support decision-making — not replace it
> The CTS Scorecard is intentionally designed to work only on the Daily timeframe. When applied on other timeframes, the indicator displays a notice prompting users to switch back to Daily mode.
Best Use Cases
Identify potential leadership-grade stocks
Filter out weak or low-quality trend setups
Avoid participation during deteriorating phases
Track how trend quality evolves over time
Strength-based watchlist and screening workflows
Credits & Philosophy
CTS is built around a price-first, evidence-based trading approach, influenced by institutional trend-following principles and leadership-quality frameworks used by professional momentum and position traders.
The emphasis is on clarity, alignment, discipline, and trend quality over noise.
www.alphasndeltas.in
ICT Finatic: Session Ranges & Macro Alerts (Cristian)This indicator is designed to assist ICT traders by automating the visualization of key session ranges and time-based macro events. It focuses on the Asia and London sessions and provides timely alerts for specific macro times.
Features:
Dynamic Session Ranges (Asia & London):
Instead of simple High/Low of the session, this script identifies Swing Highs and Swing Lows based on a 3-candle fractal pattern (High/Low of the central candle is higher/lower than its neighbors).
It calculates these swings using 15-minute timeframe data (via request.security), ensuring stability regardless of the chart timeframe used.
The lines extend dynamically and update only when a new, more significant swing is formed during the session.
Macro Time Vertical Lines:
The script monitors specific NY-time macros (09:45, 10:15, 10:45, 11:15, 11:45, 12:15).
Pre-warning System: 5 minutes before a macro time occurs (e.g., at 09:40 for the 09:45 macro), a temporary vertical line appears on the future time slot.
Auto-Cleanup: Once the macro time is reached, the vertical line is automatically removed to keep the chart clean. This feature is active on timeframes lower than 1 hour.
Bias Table:
Includes a customizable dashboard to manually input and visualize your directional bias for multiple timeframes (Daily to 5m).
How to use:
Add the indicator to your chart (works best on M1 or M5 timeframes).
Adjust the session times in the settings if needed (Default is NY time).
Use the dashboard to track your daily bias.
Watch for the orange vertical lines appearing 5 minutes before macro events to prepare for potential volatility.
