GK V2 Zero-Lag trend Ribbon GK Zero-Lag Trend Ribbon V2 is the same as version 1 but with a trend ribbon to help identify the trend. Designed to help keep traders aligned with clean market direction, it uses a Zero-Lag EMA based trend ribbon with adaptive volatility bands to clearly identify bullish and bearish trends wile filtering out noise with signal prints. The ribbon dynamically changes colour to show trend bias, and GK BUY / GK SELL only print on confirmed trend flip- one clean signal per trend no clutter
Indikatoren und Strategien
Combined Advanced Trading BlueprintCombined Advanced Trading Blueprint
This all-in-one institutional trading suite integrates market structure, volume analysis, and automated target projection. It is designed to find high-probability "Blueprints" by combining PVSRA (Price, Volume, Storage, Resistance, and Support) with dynamic Fibonacci and ATR-based risk management.
🚀 Key Modules
1. Institutional Inflection Zones (Supply & Demand)
Identifies where major market participants are entering.
Supply & Demand: Automatically draws zones at key swing highs and lows.
IZ (Inflection Zones): Real-time labels marking the median of these zones.
BOS (Break of Structure): When a zone is breached, it transforms into a BOS line to signal trend continuation or reversal.
2. PVSRA & Vector Zones
The core of institutional volume analysis.
Climax Volume (Red/Green): Bars with volume >= 200% of average. These mark exhaustion or massive entry.
High Volume (Violet/Blue): Bars with volume >= 150% of average.
Automated Zones: The script draws boxes around these high-volume candles. Price returning to these zones often sees a sharp reaction.
3. Trader Daddy Intelligence
An automated layer for objective target setting.
Auto-Fibonacci: Dynamically calculates the current swing range and plots 0.236, 0.382, 0.5, 0.618 (Golden), 0.786, and extensions.
Volume Gaps (FVG): Detects Fair Value Gaps (FVGs) where price moved too fast. These acts as "magnets" that the market usually returns to fill.
ATR Targets: Dynamic Take Profit (TP1, TP2, TP3) and Stop Loss (SL) lines that adjust based on current market volatility.
4. Confluence Ribbon System
A multi-layered moving average and channel system.
The Ribbon: Uses 8 EMA (Red), 21 EMA (White), 34 EMA (Blue), 50 SMA (Orange), and 200 SMA (Dark Orange).
Keltner Channels: Three standard deviation bands to identify overbought/oversold conditions.
RSI Triggers: A fast 2-period RSI detects "stretches" outside the Keltner bands for precise entry timing.
VWAP: Includes anchored VWAP for Session, Weekly, and Monthly trends.
🎨 Visual Guide & Color Legend
Price Targets (Trader Daddy)
Green Dashed Lines: Take Profit levels (TP1, TP2, TP3).
Red Solid Line: ATR-based Stop Loss.
Cyan/Blue Labels: Fibonacci retracement levels. The Blue level often acts as a major institutional target or "Take Profit" area in a trending market.
Market Zones
Cyan Boxes: Active Demand (Buy) zones.
Grey/White Boxes: Active Supply (Sell) zones.
Purple/Fuchsia Areas: Vector Zones (High institutional volume).
🛠 How to Trade the Blueprint
Locate the Zone: Wait for price to enter a Supply/Demand box or a Purple Vector Zone.
Check the Market State: Look at the top-right info label to see if the trend is Bullish, Bearish, or Neutral.
Wait for Confluence: Look for an 8/21 EMA crossover or an RSI "Circle" trigger near the Keltner bands.
Execute: Use the ATR-generated TP and SL lines to manage your risk automatically.
Smart Reversal [Scalping-Algo]════════════════════════════════════════════
Smart Reversal
This indicator identifies potential reversal points using a two-step confirmation method that I developed for my own scalping. Unlike typical reversal indicators that rely on RSI oversold/overbought or simple candlestick patterns, this uses a different approach.
🔹 HOW IT WORKS
The logic is based on two phases:
Phase 1 - Anchor Detection:
The indicator looks for candles where price closes beyond ALL previous candles in the lookback period. For a bullish setup, the close must be below the lows of the last N candles (default 20). This isn't just a "lower low" - it's an extreme extension where price has broken below every single candle in the range. I also require this candle to have above-average volume (2x the 20-period average) to confirm real selling pressure, not just a gap or low-liquidity move.
Phase 2 - Confirmation:
After an anchor forms, I wait for price to reverse and close above the anchor candle's high (for buys) or below the anchor's low (for sells). This must happen within 3 bars. If price makes a new extreme instead, the setup cancels.
🔹 SIGNAL QUALITY SCORING
Each signal gets a score from 3/5 to 5/5:
- 3/5: Basic confirmation occurred
- 4/5: Anchor or confirmation had strong volume
- 5/5: Both volume conditions met + aligned with 200 EMA trend
I focus on 4/5 and 5/5 signals personally.
🔹 WHAT YOU SEE ON CHART
- Green/Red boxes: Active setup waiting for confirmation
- B or S labels: Confirmed signals with quality score
- Dashboard: Shows current status and volume condition
🔹 SETTINGS
- Bars to Check: How many candles for the breakout comparison (default 20)
- Confirmation Window: Bars allowed after anchor for confirmation (default 3)
- Volume thresholds: Adjustable multipliers for anchor (2x) and confirmation (1.2x)
🔹 SUGGESTED USE
- Works on any timeframe, but I use it mainly on 5-15 min charts
- Better results when combined with key support/resistance levels
- Avoid trading during high-impact news
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Point of Control [BigBeluga]🔵 OVERVIEW
Point of Control identifies the exact price level with the highest traded volume over a selected lookback period.
This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume.
The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action.
🔵 CONCEPTS
Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume.
Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration.
Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits.
PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor.
Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels.
🔵 FEATURES
Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC.
Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak.
Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance.
Adaptive Candle Coloring —
- Neutral → price inside PoC channel. Gray
- Bullish → price above PoC channel. Blue 🔵
- Bearish → price below PoC channel. Orange 🟠
Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference.
Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel.
Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness.
Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy.
🔵 HOW TO USE
Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level.
Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance.
Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution.
Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form.
Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity.
🔵 CONCLUSION
Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range.
It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
Smart Trader,Episode 1, by Ata Sabanci | Unified Matrix⚠️ **CRITICAL: READ BEFORE USING** ⚠️
This strategy is **100% VOLUME-BASED** and requires **Lower Timeframe (LTF) intrabar data** for accurate calculations. Please understand the following limitations before using:
**📊 DATA ACCURACY LEVELS:**
• **1T (Tick)** — Most accurate, real volume distribution per tick
• **1S (1 Second)** — Reasonably accurate approximation
• **15S (15 Seconds)** — Good approximation, longer historical data available
• **1M (1 Minute)** — Rough approximation, maximum historical data range
**⚠️ BACKTEST & REPLAY LIMITATIONS:**
• TradingView's Strategy Tester uses historical LTF data which may be limited depending on your subscription plan
• Replay mode results may differ from live trading due to data availability
• For longer backtest periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
**💡 A NOTE ON TOOLS:**
Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure.
**WHY "EPISODE 1"?**
This strategy is titled "Episode 1" because it focuses exclusively on **Highest Buyers (HB)** — a single but powerful concept in volume analysis.
**The Philosophy:**
A single high-volume buying event can tell us a story about market psychology:
• Where did the biggest buyers enter?
• How much of their power remains?
• Are sellers consuming their advantage?
• At what rate is the balance shifting?
By focusing on just ONE aspect of volume analysis, traders can deeply understand how a buying surge affects future price action before moving to more complex multi-factor analysis.
**The Reality:**
This script alone is approximately **2000 lines of code** — and it only analyzes buyers. A comprehensive system covering all aspects (sellers, combined analysis, multi-timeframe correlation) would be significantly larger and computationally heavier. Breaking this into focused modules allows for:
• Deeper understanding of each component
• Lighter, more responsive scripts
• Educational progression from simple to complex
**OVERVIEW**
Smart Trader EP1 is a volume-based trading strategy that tracks the balance of power between buyers and sellers through the lens of the **Highest Buyers event**. Unlike traditional indicators that rely on price patterns or mathematical formulas, this strategy analyzes *actual volume flow* to identify who is in control of the market.
The core philosophy is simple: **markets move when one side (buyers or sellers) exhausts their power while the opposing side accumulates strength.** By measuring this power shift in real-time, the strategy identifies high-probability entry and exit points.
**HOW IT WORKS**
**1. Volume Engine**
The strategy splits each candle's volume into buying volume and selling volume using intrabar data. In *Intrabar (Precise)* mode, it uses actual tick-by-tick or second-by-second data to calculate the exact buy/sell distribution. In *Geometry* mode, it approximates based on candle structure (close position within the range).
**2. Event Detection**
Within the lookback window, the strategy identifies key events:
• **HB (Highest Buyers)** — The candle with maximum buying volume (potential resistance when exhausted)
• **HS (Highest Sellers)** — The candle with maximum selling volume (potential support when exhausted)
• **LB (Lowest Buyers)** — The candle with minimum buying volume (buyer absence)
• **LS (Lowest Sellers)** — The candle with minimum selling volume (seller absence)
These events create dynamic support and resistance levels based on actual volume, not arbitrary price levels.
**3. Power Tracking (Attrition Model)**
For the Highest Buyers event (HB), the strategy tracks:
• **Start Power (X)** — The initial buying volume at the HB event
• **Consumed Power (Y)** — How much selling volume has accumulated since the event
• **Remaining Power (Z)** — Start Power minus Consumed Power (X - Y)
• **Opponent Dominance** — When Remaining Power goes negative (Z < 0), sellers have overtaken buyers
Think of it like a battle: buyers establish a position (HB), and sellers gradually consume their power. When buyers' power is exhausted (Remaining Power ≤ 0), sellers have taken control.
**4. Depletion Markers**
Visual markers appear on the chart when power reaches critical thresholds:
• **🔋** — Buyers consumed 100% (Remaining = 0)
• **🚨** — Buyers consumed 200% (Opponent Dominance = 100%)
• **🪫** — Sellers consumed 100%
• **⚠️** — Sellers consumed 200%
**5. Cumulative Delta**
Beyond tracking power at specific events, the strategy calculates the cumulative buy volume minus sell volume since the HB event. This shows the *net flow* of money:
• **Positive Delta** — More buying than selling since HB (bullish pressure)
• **Negative Delta** — More selling than buying since HB (bearish pressure)
**6. Trend Channel**
A 5-point linear regression channel identifies the current trend:
• **UPTREND** — Both upper and lower channel lines slope upward
• **DOWNTREND** — Both lines slope downward
• **RANGING** — Mixed or flat slopes
The strategy also tracks where the HB event occurred within this channel (TOP, UPPER, MIDDLE, LOWER, BOTTOM) to contextualize the signal.
**7. Nearest Event Analysis**
The strategy identifies which event is closest to the current candle and analyzes the price action *after* that event:
• How many bullish vs bearish candles followed?
• Does post-event momentum confirm or contradict the event type?
This prevents false signals when, for example, a bearish event occurs but is immediately followed by strong bullish candles.
**SIGNAL LOGIC**
**🟢 LONG Signal Conditions:**
• Uptrend with positive cumulative delta and buyers accumulating
• At channel bottom/lower with strong buyer power remaining
• After a bearish event (HS) with bullish post-event momentum (reversal signal)
• Ranging market with positive delta and strong power
**🔴 SHORT Signal Conditions:**
• Downtrend with negative cumulative delta and sellers in control
• Opponent Dominance (buyer power exhausted) with bearish momentum
• Buyer Trap: HB at TOP in uptrend but power exhausted and delta negative
• After a bullish event (HB) with bearish post-event momentum (trap signal)
**⏳ NO_TRADE Conditions:**
• Conflicting signals (e.g., bearish event but bullish post-momentum)
• Ranging market without clear direction
• Mixed power readings
• Price position contradicts signal direction
**STRATEGY EXECUTION**
**Entry Rules:**
• Enter LONG when signal is "LONG" and conditions are valid
• Enter SHORT when signal is "SHORT" and conditions are valid
• **Pyramid**: Up to 2 entries allowed in the same direction (configurable)
• Each entry uses 10% of equity by default
• Only one entry per confirmed candle (prevents multiple fills)
**Stop Loss (Event Line Based):**
• **LONG positions**: Stop Loss placed below the HS line (seller support level)
• **SHORT positions**: Stop Loss placed above the HB line (buyer resistance level)
• A small buffer percentage is added to prevent premature stops
**Take Profit (Event Line Based):**
• **LONG positions**: Take Profit near the HB line (buyer resistance target)
• **SHORT positions**: Take Profit near the HS line (seller support target)
• A small buffer percentage ensures realistic fill expectations
**Exit Rules:**
• Exit LONG when signal changes to SHORT
• Exit SHORT when signal changes to LONG
• **NO_TRADE signal = HOLD** (do not exit, wait for clear direction)
• SL/TP orders remain active regardless of signal changes
**SETTINGS GUIDE**
**⚙️ General Settings:**
• *Calculation Method* — Choose between Intrabar (Precise) or Geometry (approximation)
• *Intrabar Resolution* — LTF for volume data (1T, 1S, 15S, 1M)
• *Lookback Length* — Window for scanning events (10-150 bars)
• *Timezone Offset* — Adjust clock display to your local time
**📊 Matrix Display Settings:**
• *Show Unified Matrix* — Toggle the information dashboard
• *Show Event Lines* — Toggle horizontal lines at event prices
• *Panel Size/Position* — Customize dashboard appearance
• *Projection Bars* — Extend event lines into the future
• *Depletion Threshold* — Percentage for depletion markers (default: 100%)
**🏷️ Rank Labels Settings:**
• *Show Rank Labels (HB/HS)* — Display labels on highest volume candles
• *Show Low Labels (LB/LS)* — Display labels on lowest volume candles
• *Ranks Count* — Number of rankings to display (1-5)
**📐 Trend Channel Settings:**
• *Show Trend Channel* — Toggle the 5-point regression channel
• *Line Color/Fill/Width/Style* — Customize channel appearance
**🎯 Trade Signal Settings:**
• *Long: Min Remaining Power %* — Minimum buyer power for LONG signal (default: 50%)
• *Short: Max Remaining Power %* — Maximum power for SHORT signal (default: 30%)
• *Opponent Dominance Threshold* — When to consider power "exhausted" (default: 0%)
• *Max Decay Angle* — Maximum consumption rate for valid entries (default: 60°)
**📈 Strategy Execution Settings:**
• *Enable Strategy* — Turn automatic trading on/off
• *Allow LONG/SHORT* — Enable or disable specific directions
• *Max Pyramid Entries* — Maximum entries in same direction (1-3)
• *SL Buffer %* — Distance below/above event line for stop loss (default: 0.15%)
• *TP Buffer %* — Distance from event line for take profit (default: 0.05%)
**VISUAL ELEMENTS**
**Chart Labels:**
• **#1 HB** — Highest Buyers (rank label on candle high)
• **#1 HS** — Highest Sellers (rank label on candle low)
• **#1 LB** — Lowest Buyers (rank label on candle high)
• **#1 LS** — Lowest Sellers (rank label on candle low)
• **🔋 / 🚨** — Buyer power depletion markers
• **🪫 / ⚠️** — Seller power depletion markers
**Event Lines:**
• **Blue horizontal lines** — HB price levels (buyer entry points)
• **Red horizontal lines** — HS price levels (seller entry points)
• **Cyan lines** — LB price levels
• **Orange lines** — LS price levels
• **Dashed extensions** — Projected levels into future bars
**Trend Channel:**
• **Orange lines** — Upper and lower channel boundaries (5-point regression)
• **Orange fill** — Channel area (90% transparency)
**Matrix Dashboard (6 rows):**
• Row 1: Header with symbol, LTF setting, and local clock
• Row 2: Volume snapshot (Total, Buy, Sell, Delta)
• Row 3: Column headers
• Row 4: Highest Buyers data (Age, Start Power, Consumed, Remaining, Decay, ETA)
• Row 5: Highest Sellers data
• Row 6: Signal Evaluation (Trend, Zone, Nearest Event, Signal, Reason)
**Strategy Markers:**
• **Green triangle up** — LONG entry
• **Red triangle down** — SHORT entry
• **Faded triangles** — Pyramid entries
• **Colored lines** — SL (red) and TP (green) levels when in position
**BEST PRACTICES**
**For Maximum Accuracy:**
1. Use **1T (tick)** or **1S** intrabar resolution when available
2. Trade liquid markets with good volume data (crypto majors, forex majors, high-volume stocks)
3. Use smaller lookback length (20-30) to ensure all bars have valid LTF data
4. Monitor the "Intrabar Valid Bars" counter in the matrix header
5. If you see data warnings, reduce lookback or increase LTF resolution
**For Longer Backtests:**
1. Use **15S or 1M** intrabar resolution for more historical data
2. Increase lookback length if needed
3. Understand that accuracy decreases with higher LTF settings
4. Consider using Geometry mode for very long backtests (approximation but always available)
**Understanding the Signals:**
• Pay attention to the signal *reasoning* shown in the matrix — it explains WHY
• **NO_TRADE** means the system sees conflicting factors — respect this caution
• Event lines act as dynamic S/R — they update as new volume events occur
• Cumulative Delta (Δ) often provides early warning of trend changes
**Risk Management:**
• The default 10% per entry with max 2 pyramids = 20% maximum exposure
• Event-line-based SL/TP provides logical levels based on actual volume events
• Always verify signals with your own analysis before trading
**INTERPRETING THE MATRIX**
**Power Status Examples:**
• *Remaining Power: 75%* — Buyers still have most of their strength
• *Remaining Power: 25%* — Buyers nearly exhausted, watch for reversal
• *Opponent Dominance: -50%* — Sellers have consumed 150% of buyer power (strong bearish)
**Decay Angle:**
• *Low angle (0-30°)* — Slow consumption, power lasting longer
• *High angle (60-90°)* — Rapid consumption, expect quick exhaustion
**ETA to Parity:**
• Shows estimated bars until Remaining Power reaches zero
• *"Overtaken"* with 🚨 means sellers have already dominated
**LIMITATIONS & DISCLAIMER**
**Technical Limitations:**
• Requires sufficient historical LTF data (varies by TradingView plan and symbol)
• Intrabar (Precise) mode may show invalid data warnings on symbols with limited history
• Strategy tester may not have access to the same LTF data as live trading
• Maximum 500 lines and 500 labels (TradingView platform limits)
**Important Notes:**
• This strategy focuses on **Highest Buyers only** — it does not analyze all market factors
• Past performance does not guarantee future results
• Volume data quality varies significantly between symbols and exchanges
• The strategy's signals are analytical tools, not trading recommendations
**Risk Disclaimer:**
This strategy is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for all investors.
• Always use proper risk management
• Never risk more than you can afford to lose
• Backtest results may differ significantly from live trading
• You are solely responsible for your trading decisions
**TECHNICAL SPECIFICATIONS**
• Pine Script Version: 6
• Calculation: calc_on_every_tick=true, use_bar_magnifier=true
• Default Capital: 10,000
• Default Position Size: 10% of equity
• Maximum Lines: 500
• Maximum Labels: 500
• External Library: TradingView/ta/10 (for requestUpAndDownVolume)
*Smart Trader EP1 — Understanding Volume, One Event at a Time*
HaP Williams %R Pro+This indicator combines the classic Williams %R (Percent Range) oscillator with multi-timeframe (MTF) analysis, allowing you to visualize the general market direction on a single chart. Thanks to its advanced dashboard feature, you can instantly monitor overbought/oversold conditions across all periods, ranging from the 1-minute chart to the 1-month chart.
With the AVG F feature added to the table, short-term price movements and momentum changes (specifically for Scalping) can be detected much faster.
🚀 Key Features
Multi-Timeframe (MTF) Support: Simultaneously calculates Williams %R values for 1m, 5m, 15m, 30m, 1h, 2h, 4h, Daily, Weekly, and Monthly periods.
Smart Dashboard: The table located in the corner of the screen displays values and color codes for all timeframes.
AVG S (Slow Average): This is the average of 5m, 15m, 30m, and 1h data. It indicates the general trend direction.
AVG F (Fast Average) : This is the average of 1m, 5m, and 15m data. It is used for instant momentum and scalping entries.
Signal Smoothing: Williams %R data is smoothed with a Simple Moving Average (SMA) to reduce market noise.
Dynamic Coloring: Colors on the dashboard and chart automatically change according to the strength of the trend.
🎨 Color Codes and Meanings
The dashboard and chart lines are colored according to the following logic:
🟢 Bright Green (Lime): If the value is above -20. This is the "Overbought" zone, but it indicates a strong Bullish trend. Momentum is very high.
🌿 Dark Green: If the value is between -20 and -50. The market is in the positive zone; the upward tendency continues.
🔴 Red: If the value is between -50 and -80. The market is in the negative zone; the downward tendency dominates.
🛑 Bright Red: If the value is below -80. This is the "Oversold" zone. Momentum is very low, and the Bearish trend is strong.
💡 How to Use? (Strategy Suggestions)
General Trend Tracking: Look at the AVG S (Slow Average) column in the dashboard. If it is green, the general direction is up; if red, it is down.
Scalp Trades: The AVG F (Fast Average) column is ideal for catching short-term reversals. Entry reliability increases when the AVG F color aligns with AVG S.
Crossovers: Crossovers between the Fast Average (Red Line) and Slow Average (Black Line) on the chart can signal potential trend changes.
Dashboard Harmony: If all boxes (or the vast majority) in the dashboard are the same color (e.g., all green), it indicates a very strong trend in that direction. You should avoid opening positions in the opposite direction.
⚙️ Settings
Williams %R Period: Default is 14; you can change it according to your strategy.
Dashboard Position: You can move the dashboard to the top-right, bottom-right, or bottom-left corner of the screen.
Show Lines: If you want to prevent chart clutter, you can toggle off the lines and use only the dashboard.
Disclaimer: This indicator is a support tool and does not contain definitive buy/sell signals. You should make your investment decisions based on your own analysis and risk management.
Adaptive RSIThe Adaptive RSI is a new version of the famous RSI that can adapt to environments and produce both Mean Reverting & Trend Following signals.
The Benefits
- Adaptive behaviour can allow fast entries while also filtering false signals
- Provides signals for both catching high/low value zones and trends
- Very good trend catching in trending environments
- Visualization provides Overbought/Oversold signal highlighting of more restrictive (diamonds) and less restrictive type (background), divergence between smoothed and basic RSI, Adaptive RSI values and bar coloring.
- Works well on BINANCE:BNBUSD
The Idea
The main idea is to give the RSI a more adaptive approach to do the market, so it can speed it up during potential oppurtunities and slow down during more dangerous environments.
This would theoreticly allow it to be a lot more versatile and provide a more accurate set of signals. On top of that, the adaptive approach could not only provide great entries but also exits when following the indicator mean-reverting style.
How it works
The indicator sets up 3 conditions, the more of them are true, the more aggressive approach will be chosen. This allows the indicator to shift speed, adapt to any environment and avoid too many false signals.
Then it uses a smoothing to improve accuracy, that is adaptive in the same way as the RSI itself.
It also has a option for a special ROC-weighted source, which however I do not recommend using unless you understand coding & know how it works.
Hope you enjoy Gs!
Please keep in mind no indicator is perfect and that every indicator has flaws
Adaptive MA SuperTrend 3.0The Adaptive MA SuperTrend 3.0 is a 3rd Generation of the SuperTrend indicator focused on improving accuracy while maintaining high speeds to capture ANY trend the market has to offer and allow investors/traders from beginner to advanced and beyond to gain a unique insight on what is happening with the markets.
How does it work?
The indicator uses a Moving Average as a base for the SuperTrend and adapts it to market environments.
It uses averages to find if short-term, medium-term or long-term have the highest avg. volume/ATR/Standard Deviation. Whichever period has the highest avg. is the length that will be used for the moving average.
Then it smooths it slightly to give a smoother result to finish the job.
That leaves us with high speed & accurate signals that adapt to any environment.
Enjoy!
Liquidation Map [Alpha Extract]A sophisticated liquidity distribution visualization system that identifies potential liquidation zones through pivot-based detection and renders them as an interactive histogram with cumulative distance-to-liquidation curves. Utilizing multi-exchange volume aggregation and ATR-scaled pocket detection, this indicator delivers institutional-grade liquidity mapping with real-time histogram display showing relative concentration of long and short liquidation levels across configurable price ranges. The system's box-based rendering architecture combined with cumulative distribution overlays provides comprehensive visual assessment of asymmetric liquidity positioning for strategic trade planning.
🔶 Advanced Multi-Exchange Aggregation Framework
Implements intelligent ticker detection and multi-source volume aggregation across major exchanges including Binance, Bybit, KuCoin, OKX, and MEXC for accurate liquidity weight calculations. The system automatically identifies base currency (BTC, ETH, SOL) from chart ticker, retrieves volume data from matching perpetual contracts across multiple venues, and aggregates into composite volume metric for enhanced pocket weighting accuracy.
🔶 Pivot-Based Liquidation Pocket Detection
Features sophisticated swing point identification using configurable pivot width with ATR-scaled vertical zone construction for volatility-adaptive pocket sizing. The system detects pivot highs for short liquidation zones (placed above swing) and pivot lows for long liquidation zones (placed below swing), applying 200-period ATR with percentage multipliers to determine pocket heights that adjust to market volatility conditions.
🔶 Interactive Histogram Visualization Engine
Provides real-time box-based histogram rendering in indicator pane with configurable bin counts (up to 400 columns) and adjustable height, displaying liquidity concentration across fixed percentage range above and below current price. The system calculates bin sizes from view range, accumulates pocket weights into price bins, and renders vertical bars with gradient color intensity reflecting relative liquidity concentration at each price level.
🔶 Cumulative Distance Overlay System
Implements innovative cumulative distribution curves showing aggregate liquidity distance from current price for both long (left) and short (right) positions. The system calculates running totals of pocket weights from current price outward in both directions, normalizes against maximum span, and overlays line segments showing how much total liquidity exists at various distances, enabling instant assessment of liquidation cascade potential.
🔶 Dynamic Price Range Adaptation
Features fixed percentage-based view window that maintains consistent price range visualization across all timeframes and instruments, automatically centering histogram on current price with configurable +/- percentage bounds. The system recalculates histogram bins and pocket distributions on each bar close, ensuring visualization adapts to price movement while maintaining interpretable scale regardless of volatility regime.
🔶 Touch Detection and Weight Adjustment
Provides intelligent pocket state tracking that identifies when price trades through liquidation zones and applies configurable weight multipliers to touched pockets for historical context. The system monitors price interaction with pocket midpoints, marks pockets as "hit" when violated, and optionally increases their visual weight (default 5x) to emphasize historical liquidation levels while distinguishing from untouched future zones.
🔶 Gradient Intensity Color System
Implements sophisticated color gradient engine that modulates bar opacity from transparent to opaque based on relative liquidity concentration within each bin. The system normalizes bin values against maximum liquidity, applies color interpolation from faded to vivid hues, and distinguishes long liquidation zones (cyan) from short liquidation zones (yellow/gold) with current price column highlighted in red for instant orientation.
🔶 Performance-Optimized Rendering Architecture
Utilizes efficient box and line object management with dynamic allocation based on histogram configuration, implementing intelligent cleanup and reuse to maintain smooth performance. The system includes adaptive line budget calculations that adjust segment density for cumulative curves based on available object limits, ensuring consistent operation even with maximum histogram resolution settings.
🔶 Asymmetric Distribution Analysis
Calculates separate cumulative distributions for long and short liquidation zones split at current price, enabling identification of imbalanced liquidity positioning. The system normalizes distributions against respective maximums and overlays both curves on single histogram, allowing traders to instantly assess whether more liquidation risk exists above (shorts vulnerable) or below (longs vulnerable) current price levels.
🔶 Configurable Label and Scale System
Provides price axis labeling with adjustable frequency to reduce clutter while maintaining reference points, displaying price values at regular column intervals with configurable offset positioning. The system includes current price label showing exact value and percentile position within view range, offering both absolute price reference and relative positioning context for distribution interpretation.
🔶 Historical Pocket Persistence Framework
Maintains rolling window of liquidation pockets up to 3000 bars with automatic expiration management and optional preservation of touched zones for historical analysis. The system tracks pocket creation time, monitors age against lookback limits, and manages array cleanup to prevent memory overflow while retaining relevant historical liquidation levels for pattern recognition and support/resistance validation.
This indicator delivers sophisticated liquidity distribution analysis through histogram visualization and cumulative distance curves that reveal asymmetric positioning of potential liquidation levels. Unlike simple liquidation heatmaps that show absolute levels, the Liquidation Map's cumulative distribution overlays instantly communicate how much total liquidity exists at various distances from current price, enabling assessment of cascade potential. The system's multi-exchange volume aggregation, touch-weighted historical zones, and fixed-range visualization make it essential for traders seeking strategic positioning around institutional liquidity clusters in cryptocurrency futures markets. The histogram format enables instant identification of price levels where concentrated liquidations may trigger significant volatility or reversal events, while the asymmetric distribution curves reveal whether market structure favors upside or downside cascades.
GK ZeroLag BOSGK Zero-lag BOS is clean, non repainting institutional trend and structure indicator built specifically for precision entries. It combines Zero-lag EMA ZELMA with ATR volatility bands to define true trend direction, then confirms entries using break of structure BOS logic. signals only print once per trend eliminating noise, chop. KEY FEATURES Zero lag EMA trend detection length=70 ATR band volatility filter, BOS confirmation using recent structure highs/lows. one GK BUY / GK SELL per trend fully non repainting and bar close confirmed optimised for XAUUSD
The SHIFT - Signal Harmonic Inflection Flow Tracker🔄 THE SHIFT — SIGNAL HARMONIC INFLECTION FLOW TRACKER
Precision reversal detection at the exact moment price shifts direction.
📐 CORE CONCEPT: THE INFLECTION POINT
Every sustained price move begins with a single moment — the instant price crosses from one phase to another. THE SHIFT captures this exact inflection point by combining two essential confirmations:
1. The Phase Cross
Price crossing the EMA ribbon midpoint represents a structural change in market bias. The ribbon midpoint is calculated as the average of EMA 21 and EMA 55, creating a dynamic equilibrium zone. When price decisively crosses this level, it signals a potential phase transition.
2. The Confirming Wick
Not every ribbon cross leads to continuation. THE SHIFT filters for quality by requiring the crossing candle to show directional commitment through its wick structure:
✓ Bullish SHIFT: Lower wick ≥ 25% of bar range (buyers absorbed selling pressure)
✓ Bearish SHIFT: Upper wick ≥ 25% of bar range (sellers absorbed buying pressure)
This dual confirmation eliminates weak crosses that occur during sideways chop.
⚙️ HOW IT WORKS
The EMA Ribbon
Five exponential moving averages (8, 13, 21, 34, 55) form an adaptive ribbon that expands during trends and contracts during consolidation. The ribbon serves multiple purposes:
✓ Visual trend identification through color gradient
✓ Dynamic support/resistance zones
✓ Phase boundary definition via ribbon midpoint
Phase Detection
The indicator tracks three distinct market phases:
✓ VELOCITY BULLISH — Price confirmed above ribbon midpoint
✓ VELOCITY BEARISH — Price confirmed below ribbon midpoint
✓ EQUILIBRIUM — Price oscillating around midpoint without confirmation
Phase confirmation requires price to remain on one side of the ribbon for a user-defined number of bars (default: 2), preventing false signals from single-bar noise.
Market Pressure Index (MPI)
MPI quantifies the balance between buying and selling pressure within each bar by analyzing where price closes relative to its range, weighted by volume. This provides momentum context for phase transitions:
✓ Positive MPI confirms bullish pressure
✓ Negative MPI confirms bearish pressure
✓ Strong readings (above threshold) indicate conviction
Consensus Grading System
Each SHIFT signal receives a quality grade (A+, A, B, C) based on five factors:
✓ Phase Strength — EMA alignment plus MPI strength
✓ Trend Alignment — All EMAs properly stacked
✓ Volume Confirmation — Above-average participation
✓ Momentum Convergence — MPI confirms direction
✓ Structure Respect — Price at value area
Higher grades indicate stronger confluence and potentially higher-probability setups.
📊 VISUAL SYSTEM
SHIFT Labels
✓ ▲ SHIFT — Bullish phase flip detected
✓ ▼ SHIFT — Bearish phase flip detected
Labels appear at the exact bar where the phase transition occurs.
Entry Zones
When a qualified SHIFT fires, a colored box appears showing:
✓ Entry zone boundaries
✓ Signal direction (LONG/SHORT)
✓ Wick percentage that triggered the signal
✓ Quality grade
Dynamic Trade Management
THE SHIFT tracks three profit targets (T1, T2, T3) and stop levels with intelligent visual feedback:
✓ Target Lines — Display as dashed lines during active trade
✓ Target Hit — Line turns GREEN with "✓ T1/T2/T3" label
✓ Target Fade — Hit targets progressively fade and disappear after user-defined bars
✓ Stop Hit — Line turns RED with "❌ STOPPED OUT" label
This visual system keeps your chart clean while providing clear feedback on trade progress.
Background Shading
Subtle background color indicates current phase:
✓ Green tint — Bullish phase
✓ Red tint — Bearish phase
✓ Yellow tint — Equilibrium
🧠 SHIFT ASSISTANT — INTELLIGENT COACHING PANEL
The SHIFT Assistant provides real-time contextual guidance that adapts to market conditions:
MARKET READ
Current market assessment:
✓ "💪 Strong bullish trend in play"
✓ "📈 Bullish momentum building"
✓ "🔥 Compression detected - breakout imminent"
✓ "⚖️ Equilibrium - wait for SHIFT"
ACTION
Specific guidance for current situation:
✓ "🟢 SHIFT LONG - Wick confirmed buyers"
✓ "📊 Halfway to T1 - Hold with conviction"
✓ "✅ T1 Hit - Consider partials, move stop to entry"
✓ "👀 Bullish shift but weak wick - skip"
✓ "⏸️ No setup - Patience pays"
CAUTION
Risk warnings when applicable:
✓ "⚠️ Bearish divergence forming - caution on new longs"
✓ "🌊 Volatility expanding - widen mental stops"
INSIGHT
Additional observations:
✓ "✨ Perfect bullish SHIFT setup"
✓ "📊 EMAs fully stacked - trend mature"
✓ "💎 Grade A+ conditions"
TRADE STATUS
When in an active trade:
✓ Current P&L percentage
✓ Bars in trade
✓ Risk buffer remaining (ATR to stop)
📋 MAIN DASHBOARD
The dashboard displays comprehensive real-time information:
Phase Status
✓ Current phase (Velocity Bullish/Bearish/Equilibrium)
✓ Phase strength (Strong/Moderate/Weak)
✓ MPI reading
Consensus Breakdown
✓ Visual progress bar showing consensus score
✓ Individual check status for all five factors
✓ Current quality grade
Wick & Shift Status
✓ Current wick type and percentage
✓ Whether a SHIFT is occurring on current bar
Three Laws Display
✓ Law 1: Direction (SHIFT BULL/BEAR or No Shift)
✓ Law 2: Confirmation (Wick Confirms or Weak Wick)
✓ Law 3: Quality (Grade passes filter or not)
All three laws must be satisfied for a signal to fire.
⚙️ INPUT PARAMETERS
SHIFT Core Engine
✓ MPI Period (14) — Lookback for Market Pressure Index calculation
✓ MPI Sensitivity (1.5) — Amplification factor for pressure readings
✓ Phase Confirmation Bars (2) — Bars required on one side of ribbon to confirm phase
✓ Strong Momentum Threshold (0.5) — MPI level considered "strong"
EMA Ribbon
✓ Show EMA Ribbon — Toggle ribbon visibility
✓ EMA Fast/2/Core/4/Slow (8/13/21/34/55) — Individual EMA periods
Signal Settings
✓ Show Signals — Toggle signal generation
✓ Minimum Signal Grade (B) — Filter signals below this quality threshold
✓ Min Wick Ratio (0.25) — Minimum wick size as percentage of bar range to confirm shift
✓ Show Entry Zones/Stops/Targets — Toggle visual elements
✓ Stop Loss ATR (1.5) — Stop distance in ATR multiples
✓ Zone Width (15) — How many bars entry zones extend forward
✓ Target Fade Duration (8) — Bars before hit targets disappear
Assistant & Dashboard
✓ Position and size options for both panels
✓ Independent show/hide toggles
Visual
✓ Customizable colors for bullish, bearish, neutral, target hit, and stop hit
✓ Background and label transparency controls
🎯 RECOMMENDED USAGE
Best Timeframes
✓ 5-minute to 1-hour for intraday trading
✓ 4-hour to Daily for swing trading
✓ Adjust Min Wick Ratio lower (0.20) on higher timeframes where wicks tend to be smaller
Best Markets
✓ Liquid instruments with clear trending behavior
✓ Futures, Forex, and large-cap equities
✓ Avoid during major news events when price action becomes erratic
Signal Filtering
✓ Grade A+ and A signals have highest confluence
✓ Grade B signals are acceptable with additional confirmation
✓ Grade C signals should generally be skipped
✓ Use the Assistant's ACTION guidance to understand why signals fire or don't fire
Trade Management
✓ T1 at 1× risk (1:1 R) — Consider taking partials
✓ T2 at 2× risk (2:1 R) — Move stop to breakeven
✓ T3 at 3× risk (3:1 R) — Full target, close remaining position
✓ Watch for phase invalidation (opposite SHIFT) as hard stop signal
🔔 ALERTS
THE SHIFT includes comprehensive alert conditions:
✓ SHIFT Long — Bullish entry signal
✓ SHIFT Short — Bearish entry signal
✓ T1/T2/T3 Hit — Target reached notifications
✓ Stopped Out — Stop level breached
✓ Shift Bullish/Bearish — Phase flip events (with or without trade signal)
Dynamic alerts include grade and wick percentage information for complete context.
📝 DEVELOPMENT NOTES
THE SHIFT emerged from extensive research into what makes reversal signals reliable versus unreliable. The key insight was that most failed reversals lack wick confirmation — the candle crosses a level but shows no evidence that the opposing force actually stepped in.
By requiring both the structural cross (price through ribbon midpoint) AND the wick confirmation (evidence of absorption), THE SHIFT filters out the low-quality signals that plague simpler crossover systems.
The intelligent Assistant panel was designed to function as a trading coach, helping traders understand not just WHEN to trade but WHY conditions are or aren't favorable. This educational component helps develop intuition over time.
⚠️ RISK DISCLAIMER
This indicator is a technical analysis tool designed to identify potential trading opportunities. It does not guarantee profits and should not be used as the sole basis for trading decisions.
Past performance of any trading system or methodology is not necessarily indicative of future results. Trading involves substantial risk of loss and is not suitable for all investors.
Always use proper risk management, position sizing appropriate to your account, and never risk more than you can afford to lose. Paper trade any new system extensively before committing real capital.
The developer makes no claims about win rates, profit factors, or expected returns. Your results will vary based on market conditions, timeframe selection, and execution.
🎯 SUMMARY
THE SHIFT provides a unified approach to reversal detection:
✓ Simple Logic — Phase cross + wick confirmation = signal
✓ Quality Grading — Consensus scoring filters for best setups
✓ Visual Clarity — Dynamic trade management keeps charts clean
✓ Intelligent Coaching — Assistant explains market conditions in real-time
✓ Complete System — Entry, targets, stops, and management in one indicator
One objective. One system. Catch the shift.
"The market speaks in inflection points. THE SHIFT translates."
Taking you to school. — Dskyz , Trade with insight. Trade with anticipation.
SMC + VP Pro with POC Confluence [MR.M] V.2ยำรวมมิตร จาก AI เอาไปใช้กันนะครับ รวยแล้ว กดใจให้ด้วยนะครับ
MM ให้ดี ไม่มีเครื่องมือใดชนะ 100 % อย่าขาดทุนนะ 😂😂😂💕💕💕
นี่เป็นการเผยแพร่สคริป ครั้งแรก
SMC + VP Pro with POC Confluence + RSI Divergence
= Volume Profile (POC, VAH, VAL)
+ Smart Money Concepts (FVG, OTE, BOS, Liquidity)
+ POC Confluence Detection (12 zones)
+ RSI Divergence (Regular + Hidden)
+ Higher Timeframe Analysis
+ Trading Signals (Conservative mode)
+ Risk Management (Auto SL/TP)
+ Information Dashboard
→ All-in-One Professional Trading System
→ Win Rate: 70-90%
→ Suitable for: Conservative to Balanced traders
→ Best on: H1, H4 timeframes
ถ้ามันรก ก็ปรับเอาเองนะครับ
ถ้ามีที่ต้องปรับปรุง แจ้งด้วยนะครับ
V.2 ปรับปรุงเพียงเล็กน้อย คือ ปรับ✅ ควรเห็น VAH VAL Label เดียว (ราคาล่าสุด) จากที่ค้างไม่ลบอัตโนมัติ
Vimal's Super Intraday Combo // © Vimal — Super Intraday Combo Signal (v6)
//@version=6
indicator("Vimal's Super Intraday Combo (RSI + MACD + BB + EMA + VWAP + Stoch)", overlay=true)
// ---------- Inputs ----------
groupTrend = "Trend & Benchmarks"
emaLen = input.int(20, "EMA length", minval=5, group=groupTrend)
useVWAP = input.bool(true, "Use VWAP filter", group=groupTrend)
groupMom = "Momentum"
rsiLen = input.int(14, "RSI length", minval=5, group=groupMom)
rsiBuy = input.int(55, "RSI buy threshold", minval=40, maxval=70, group=groupMom)
rsiSell = input.int(45, "RSI sell threshold", minval=30, maxval=60, group=groupMom)
stochLen = input.int(14, "Stoch length", minval=5, group=groupMom)
stochSignal = input.int(3, "Stoch signal length", minval=1, group=groupMom)
stochBuyLvl = input.int(20, "Stoch oversold level", minval=1, maxval=50, group=groupMom)
stochSellLvl = input.int(80, "Stoch overbought level", minval=50, maxval=99, group=groupMom)
groupMACD = "MACD"
macdFast = input.int(12, "MACD fast", minval=3, group=groupMACD)
macdSlow = input.int(26, "MACD slow", minval=5, group=groupMACD)
macdSignalLen = input.int(9, "MACD signal", minval=3, group=groupMACD)
groupBB = "Bollinger Bands"
bbLen = input.int(20, "BB length", minval=5, group=groupBB)
bbMult = input.float(2.0, "BB multiplier", minval=1.0, maxval=4.0, step=0.1, group=groupBB)
bbSqueezeLook = input.int(20, "Squeeze lookback", minval=10, group=groupBB)
groupLogic = "Signal Logic"
strictMode = input.bool(false, "Strict mode (all filters must agree)", group=groupLogic)
riskFilter = input.bool(true, "Avoid chasing far outside upper band", group=groupLogic)
maxBandDistPc = input.float(0.30, "Max distance above upper band (%) for buys", minval=0.05, step=0.05, group=groupLogic)
minBandDistPc = input.float(0.30, "Max distance below lower band (%) for sells", minval=0.05, step=0.05, group=groupLogic)
// ---------- Core calculations ----------
ema = ta.ema(close, emaLen)
vwap = ta.vwap(close)
rsi = ta.rsi(close, rsiLen)
k = ta.sma(ta.stoch(close, high, low, stochLen), 1)
d = ta.sma(k, stochSignal)
= ta.macd(close, macdFast, macdSlow, macdSignalLen)
basis = ta.sma(close, bbLen)
dev = bbMult * ta.stdev(close, bbLen)
bbUpper = basis + dev
bbLower = basis - dev
bbWidth = (bbUpper - bbLower) / basis
squeeze = bbWidth < ta.lowest(bbWidth, bbSqueezeLook)
// ---------- Conditions ----------
trendUp = close > ema
trendDown = close < ema
vwapUp = not useVWAP or close >= vwap
vwapDown = not useVWAP or close <= vwap
rsiBull = rsi >= rsiBuy
rsiBear = rsi <= rsiSell
stochBull = ta.crossover(k, d) and k < stochBuyLvl
stochBear = ta.crossunder(k, d) and k > stochSellLvl
macdBull = macdLine > macdSignal and macdHist > 0
macdBear = macdLine < macdSignal and macdHist < 0
bbBreakUp = ta.crossover(close, bbUpper)
bbBreakDn = ta.crossunder(close, bbLower)
// Risk control: avoid chasing too far outside bands
distAboveUpper = (close - bbUpper) / close
distBelowLower = (bbLower - close) / close
okBuyDistance = not riskFilter or distAboveUpper <= maxBandDistPc
okSellDistance = not riskFilter or distBelowLower <= minBandDistPc
// ---------- Scoring ----------
bullScore = (trendUp ? 1 : 0) + (vwapUp ? 1 : 0) + (rsiBull ? 1 : 0) + (stochBull ? 1 : 0) + (macdBull ? 1 : 0) + ((bbBreakUp or (close > basis and not squeeze)) ? 1 : 0)
bearScore = (trendDown ? 1 : 0) + (vwapDown ? 1 : 0) + (rsiBear ? 1 : 0) + (stochBear ? 1 : 0) + (macdBear ? 1 : 0) + ((bbBreakDn or (close < basis and not squeeze)) ? 1 : 0)
minAgree = strictMode ? 6 : 4
buy = bullScore >= minAgree and okBuyDistance
sell = bearScore >= minAgree and okSellDistance
// ---------- Plots (ensures indicator outputs) ----------
plot(ema, "EMA", color=color.new(color.yellow, 0), linewidth=2)
plot(vwap, "VWAP", color=color.new(color.orange, 20), linewidth=1)
plot(bbUpper,"BB Upper",color=color.new(color.teal, 0))
plot(basis, "BB Basis",color=color.new(color.gray, 60))
plot(bbLower,"BB Lower",color=color.new(color.teal, 0))
plotshape(buy, title="BUY", style=shape.labelup, color=color.new(color.lime, 0), text="BUY", location=location.belowbar, size=size.tiny)
plotshape(sell, title="SELL", style=shape.labeldown, color=color.new(color.red, 0), text="SELL", location=location.abovebar, size=size.tiny)
bgcolor(buy ? color.new(color.lime, 92) : sell ? color.new(color.red, 92) : na)
// ---------- Alerts ----------
alertcondition(buy, title="BUY signal (combo)", message="BUY: Multi-indicator agreement reached.")
alertcondition(sell, title="SELL signal (combo)", message="SELL: Multi-indicator agreement reached.")
// ---------- Optional table ----------
var tbl = table.new(position.top_right, 3, 7, border_color=color.new(color.white, 70))
if barstate.islast
table.cell(tbl, 0, 0, "Metric", text_color=color.white)
table.cell(tbl, 1, 0, "Bull", text_color=color.lime)
table.cell(tbl, 2, 0, "Bear", text_color=color.red)
table.cell(tbl, 0, 1, "Trend (EMA)")
table.cell(tbl, 1, 1, trendUp ? "✅" : "—", text_color=color.lime)
table.cell(tbl, 2, 1, trendDown? "✅" : "—", text_color=color.red)
table.cell(tbl, 0, 2, "VWAP")
table.cell(tbl, 1, 2, vwapUp ? "✅" : "—", text_color=color.lime)
table.cell(tbl, 2, 2, vwapDown ? "✅" : "—", text_color=color.red)
table.cell(tbl, 0, 3, "RSI")
table.cell(tbl, 1, 3, rsiBull ? "✅" : "—", text_color=color.lime)
table.cell(tbl, 2, 3, rsiBear ? "✅" : "—", text_color=color.red)
table.cell(tbl, 0, 4, "Stoch")
table.cell(tbl, 1, 4, stochBull? "✅" : "—", text_color=color.lime)
table.cell(tbl, 2, 4, stochBear? "✅" : "—", text_color=color.red)
table.cell(tbl, 0, 5, "MACD + BB")
table.cell(tbl, 1, 5, (macdBull or bbBreakUp) ? "✅" : "—", text_color=color.lime)
table.cell(tbl, 2, 5, (macdBear or bbBreakDn) ? "✅" : "—", text_color=color.red)
table.cell(tbl, 0, 6, "Score", text_color=color.white)
table.cell(tbl, 1, 6, str.tostring(bullScore), text_color=color.lime)
table.cell(tbl, 2, 6, str.tostring(bearScore), text_color=color.red)
Volatility Smoothed Moving Average BandsThe Volatility Smoothed Moving Average Bands are volatility based bands that combine multiple measures to get an accurate signal on the market trend.
The Benefits
- Low noise due to accuracy averaging
- Fast Speed
- Good altcoin performance, mainly on CRYPTO:CROUSD
The Idea
The idea is to provide high accuracy signals with high robustness with averaging multiple sources that do not require extra history, using the same amount of data with higher accuracy
How it works
It first calculates a more reactive and a less reactive MA. It starts combining the MAs and averages all the returned values for maximum accuracy.
Then it subtracts everything from everything, and the average is the volatility for the bands.
It adds that on top of the base and creates highly accurate bands.
Enjoy Gs!
Renko Candle X 🔷 Renko Candle X (Close-Based) — Pure Confirmation Renko
Renko Candle X (Close-Based) is a precision-focused Renko indicator designed to eliminate noise, false signals, and premature brick formation. Unlike traditional or wick-based Renko calculations, this indicator builds Renko bricks strictly on candle close price only.
If price touches a Renko level with a wick but does not close beyond it, no brick is formed. This ensures maximum confirmation and disciplined trend structure.
🔹 Key Features
✔ Close-Only Brick Formation
Renko bricks are generated only when the candle closes beyond the defined brick size.
High–low wicks are completely ignored, preventing false or early brick creation.
✔ Fixed Brick Size (Point-Based)
Users define a fixed brick size in points.
Each Renko brick represents a fully confirmed price move, not temporary volatility.
✔ Manual Start Price Control
Renko calculation begins from a user-defined start price, ensuring consistent and repeatable Renko structure across sessions and chart reloads.
✔ Multi-Brick Continuation
When price closes with a move larger than one brick, the indicator can generate multiple Renko bricks within a single candle, replicating true Renko behavior.
✔ 2-Brick Reversal Rule
Trend reversals are confirmed only when price closes at least two bricks in the opposite direction.
This professional-grade rule filters noise and avoids frequent false reversals.
✔ Strict Color Lock System
Brick color changes only after a valid close-based Renko condition is completed.
No flickering, no mid-bar repainting, and no color change from wick movement.
✔ Clean Renko-Style Candles
Candles are plotted using Renko body logic only, without unnecessary wicks, providing a clear and uncluttered trend view.
🔹 Brick Color Logic
🟢 Green Brick — Confirmed Uptrend
🔴 Red Brick — Confirmed Downtrend
Colors change only after full close confirmation.
🔹 Ideal Use Cases
• Rule-based trading systems
• High-confirmation scalping
• Intraday trend following
• Breakout and momentum strategies
• Strategy development without repaint risk
🔹 Important Note
This indicator operates on standard time-based charts, but visually and logically behaves like a true close-based Renko chart.
There is no repainting, no wick-based triggering, and no premature brick formation.
Renko Candle X (Close-Based) delivers disciplined Renko structure, strong trend confirmation, and a noise-free trading environment — built for traders who value precision over speed.
mk bollinger bands signals - free overly trueThis is the FREE version of MK Bollinger Bands Signals.
A clean and simple Bollinger Bands indicator designed to keep the chart clear.
It provides basic Buy & Sell signals for educational and intraday use.
This version is intended as a free release.
Advanced features and a PRO version may be released separately.
HaP RSI ComboHaP RSI Combo
Description:
This script is a comprehensive RSI Screener designed to help traders monitor up to 200 symbols simultaneously across 5 different custom lists. It combines two powerful technical strategies: RSI Divergences and RSI Moving Average Crossovers. Instead of switching between charts, you can see all bullish and bearish signals in a single, organized table on your screen.
Key Features:
Mass Scanning:
Supports 5 Custom Lists.
Each list can hold up to 40 symbols.
Total capacity: 200 symbols scanned in real-time.
RSI Divergence Detection:
Detects Regular Bullish (PU) and Hidden Bullish (GPU) divergences.
Detects Regular Bearish (NU) and Hidden Bearish (GNU) divergences.
Fully customizable Pivot Lookback and Range settings to fine-tune sensitivity.
RSI & MA Crossover Strategy:
Scans for RSI crossing above or below a Moving Average.
Supports various MA types: SMA, EMA, SMMA (RMA), WMA, VWMA.
Customizable RSI and MA lengths.
Visual Dashboard:
Displays a clean table on the chart.
Green Column: Shows all Bullish signals (PU, GPU, RSI Buy).
Red Column: Shows all Bearish signals (NU, GNU, RSI Sell).
Adjustable text size and transparency settings.
Abbreviations Used in the Table:
PU: Regular Bullish Divergence (Positive Uyumsuzluk)
GPU: Hidden Bullish Divergence (Gizli Pozitif Uyumsuzluk)
NU: Regular Bearish Divergence (Negatif Uyumsuzluk)
GNU: Hidden Bearish Divergence (Gizli Negatif Uyumsuzluk)
AL/BUY: RSI Crossed Above MA
SAT/SELL: RSI Crossed Below MA
How to Use:
Open the indicator settings.
Select which list group you want to display (List 1, List 2, etc.).
Enter your favorite symbols (tickers) into the corresponding fields manually.
Adjust the timeframe and strategy parameters if needed.
Watch the table for real-time signals.
Note: Due to Pine Script request.security limits, ensure you are not exceeding the execution time limits if you add too many complex calculations, though this script is optimized for performance.
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction
Overview
Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis.
Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow.
This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance.
Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels.
Conceptual Framework
Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns.
Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure.
Three core principles guide the design:
Zone placement should correspond to cumulative delta extremes, not price pivots alone.
Zone thickness must adapt to current market volatility conditions.
Flow composition context reveals whether zones formed under accumulation or distribution.
This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries.
Theoretical Foundation
The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis.
A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting.
Four internal systems operate in tandem:
Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement.
Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement.
Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors.
Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context.
This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations.
How It Works
Delta Reaction Zones evaluates price through a sequence of flow-aware processes:
Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure.
Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time.
Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor.
Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions.
Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction.
Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally.
Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions.
Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity.
Together, these elements form a continuously updating supply and demand framework anchored in order flow reality.
Interpretation
Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries:
Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred.
Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated.
Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage.
BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity.
Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context.
Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets.
Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes.
Flow composition, volatility context, and delta magnitude outweigh isolated price reactions.
Signal Logic & Visual Cues
Delta Reaction Zones presents two primary interaction signals:
Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest.
Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure.
Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring.
Strategy Integration
Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches:
Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred.
Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones.
Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them.
Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance.
Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers.
Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision.
Technical Implementation Details
Core Engine : Signed volume delta proxy with EMA smoothing
Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection
Zone Construction : ATR-scaled thickness around pivot anchors
Flow Analysis : Positive/negative decomposition over configurable impulse window
Visualization : Gradient-filled zones with embedded flow statistics and percentage segments
Signal Logic : Midline crossover detection with breach-based invalidation
Merge System : Proximity-based consolidation with weighted flow blending
Performance Profile : Optimized for real-time execution with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure flow zones for scalping and short-term reversals
15 - 60 min : Intraday supply/demand identification with flow context
4H - Daily : Swing-level reaction zones with macro flow characterization
Suggested Baseline Configuration:
Delta Smoothing Length : 3
Pivot Length : 12
Pivot Source : Cumulative Delta
Impulse Window : 100
ATR Length : 14
ATR Multiplier : 0.35 (reduce for lower timeframes)
Maximum Zones : 8
Merge Overlapping Zones : Enabled
Merge Gap : 20 ticks
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes.
Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation.
Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation.
Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity.
Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition.
Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume and order flow characteristics
Instruments where delta proxy correlates well with actual tape reading
Mean-reversion strategies targeting flow exhaustion zones
Trend continuation entries at zones aligned with dominant flow direction
Reduced Effectiveness:
Extremely low volume environments where delta proxy becomes unreliable
News-driven or gapped markets with discontinuous flow
Highly manipulated or illiquid instruments with erratic volume patterns
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis
Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance
Context Awareness : Consider whether current market regime matches zone formation conditions
Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections
Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries
Disclaimer
Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management.
fmfm12 chosen chart timeframe. It monitors the price to determine:
Whether resistance has been broken → BUY signal
Or support has been broken → SELL signal
After a breakout or breakdown, the indicator automatically draws price targets (T1 / T2 / T3) as percentages from the breakout point, and also displays FVG (Fair Value Gaps) zones that indicate imbalances between supply and demand.
⚙️ Main Components
Support and Resistance Levels (Key Levels)
Automatically calculated from the 4-hour timeframe (180 minutes).
Draws lines:
Green = Resistance
Red = Support
Option to display a midline (blue).
Line style (solid / dashed / dotted), thickness, and label size are customizable.
Trading Signals (Signals)
When resistance is broken upward → BUY signal (green).
When support is broken downward → SELL signal (red).
Signal size is adjustable (small / large, etc.).
Price Targets (Targets)
After confirming a breakout or breakdown, the indicator draws:
T1 / T2 / T3 as horizontal lines in the breakout direction.
Target percentages are adjustable (default: 0.5%, 1%, 1.5%).
Different colors for bullish and bearish targets.
Fair Value Gaps (FVG)
Detects bullish and bearish gaps within a set number of candles (default: 10).
Draws transparent colored zones:
Light Green = Bullish Gap
Light Red = Bearish Gap
📊 Practical Usage
Add the indicator to TradingView (paste the code into the Pine Editor, save, and add it to the chart).
When the price approaches a support or resistance line, observe:
GEOFF LONG/SHORT ENTRY + STOP + TP / FINALIZED + ALERT / EMA
This professional-grade scalper is engineered specifically for the Micro E-mini S&P 500 (MES) and focuses exclusively on high-probability "A+" setups. By stripping away secondary noise, the indicator identifies surgical entries where momentum, trend, and institutional value converge.
### THE "PERFECT SETUP" LOGIC (4-LAYER FILTER)
To ensure the highest strike rate, a trade is only triggered when all four of the following conditions align:
1. TREND: 8 EMA crossing the 21 EMA (Short-term momentum shift).
2. VALUE: Price must be above VWAP for Longs or below VWAP for Shorts (Institutional bias).
3. MOMENTUM: RSI must be > 55 for Longs or < 45 for Shorts (Confirming the "Flush").
4. VOLATILITY: The entry candle must close outside the EMA spread to confirm strength.
### KEY FEATURES
* IRON-CLAD ANCHORING: Uses Pine Script v6 'chart.point' math to mathematically weld boxes and labels to the price bars. Drawings will NOT drift or lag when zooming or panning.
* DYNAMIC RISK CALCULATOR: Automatically calculates Take Profit and Stop Loss levels based on your input points. It displays the real-time dollar gain/loss ($5 per point for MES) directly on the chart.
* SURGICAL VISUALS: Features a 3-label system (Entry Price, Target Price, and Stop Price) positioned externally to keep the candlestick price action clear and visible.
* COLOR-SYNC LOGIC: Intuitively designed so that the Profit Target is ALWAYS Lime/Green and the Risk/Stop is ALWAYS Red, regardless of whether you are in a Long or Short position.
* INTEGRATED ALERTS: Includes built-in alert conditions for "Perfect Long" and "Perfect Short" to sync with phone or browser notifications.
### BEST USED ON:
Optimized for the 1m, 2m, and 5m timeframes for MES Futures.
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
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Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
TA Confluence Scanner v2.9 | Mint_Algo📘 TA Confluence Scanner
Introduction
The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction.
Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium.
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Important Note
To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols:
FX:EURUSD
IG:NASDAQ
BITSTAMP:BTCUSD
BINANCE:ETHUSD
CAPITALCOM:US500
OANDA:XAUUSD
NASDAQ:AAPL
NASDAQ:TSLA
BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher).
Check the presets at the bottom 👇
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Core Features
Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends.
SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets.
Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align.
Re-Entry Logic: Identifies low-risk entry points within an existing trend.
Automated S/R & Breakouts: Detects key pivot levels and structural breaks.
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Settings & Components Breakdown
1. KAMA (Primary Trend Filter)
The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement.
How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals.
Tuning:
Fast (ER ~100/5/60): For Scalping.
Smooth: Default settings are optimized for a balance between lag and noise reduction.
2. SMC Equilibrium (EQ Structure)
Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines:
EQ1 (Fast): The aggressive line. Used for early exits or scalping stops.
EQ2 (Medium): The baseline trend structure.
EQ3 (Slow): The major trend container. Used for position trading.
Usage: Use these lines to gauge how far price has deviated from its "fair value."
3. Breakout & Internal Trend
Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks.
Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend.
4. Signal Strength (The Confluence Meter)
The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ.
Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout.
Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points.
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How to Trade (Strategy Guide)
🎯 The Entry
Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned.
Conservative: Wait for the candle to close.
Aggressive: Enter on the breakout of the KAMA line.
🔄 Re-Entry & Continuation
Markets rarely move in a straight line.
Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter.
The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend.
Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position.
⚠️ Pyramiding & Risk Management (Advanced)
The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy:
Entry: Open position (e.g., 0.03 lots).
First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits.
Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line.
Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line.
Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops.
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Presets & Optimized Settings
To make this "Plug & Play," I have included optimized presets in the settings for different trading styles.
(If you don't see some parameters, that means they are turned off in trading mode)
⚡ SCALPER (1m - 5m)
KAMA:
ER: 100
Fast Length: 15
Slow Length: 30
FVG:
Size %: 0.01
Trend Detection:
Length: 20
Breakout:
Lookback Period: 10
S/R Detection:
Pivot Length: 10
Tolerance: 0.3
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 30
EQ3: 120
Signal Strength:
Strong: 4
Medium: 3
📊 INTRADAY (15m - 1H)
KAMA:
ER: 100
Fast Length: 5
Slow Length: 30
Trend Detection:
Length: 100
Breakout:
Lookback Period: 30
S/R Detection:
Pivot Length: 20
Tolerance: 0.5
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 40
EQ3: 80
Signal Strength:
Strong: 4
Medium: 3
📈 SWING (4H - 1D)
KAMA:
ER: 30
Fast Length: 4
Slow Length: 30
Trend Detection:
Length: 50
Breakout:
Lookback Period: 20
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 60
Signal Strength:
Strong: 4
Medium: 3
💼 INVESTOR (4H - 1D+)
KAMA:
ER: 30
Fast Length: 5
Slow Length: 10
Trend Detection:
Length: 100
Breakout:
Lookback Period: 50
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 100
Signal Strength:
Strong: 4
Medium: 3
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Notes
FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common.
Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean.
Recommended Pairing:
For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend).
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Disclaimer:
This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.
[codapro] Confirmed Supertrend Flags
Confirmed Supertrend Flags — Delayed Flip Confirmation
Description:
This script enhances the classic Supertrend by adding a confirmation delay after trend flips, helping traders filter noise and avoid premature entries in volatile environments.
Key Features:
ATR-based Supertrend stop level calculation
Confirmation logic: buy/sell flags appear only after N full bars confirm the new direction
Optional Supertrend stop line for visual tracking
Fully adjustable flag size, color, label, and placement
This is ideal for swing traders, trend followers, or anyone building a system that prefers confirmation over early guessing.
How It Works:
A trend flip is detected when price closes beyond the Supertrend stop level.
The indicator waits for a set number of bars to close in the new direction.
After confirmation, a visual flag is plotted: buy below bar, short above bar.
How to Extend with Risk Management:
While this script focuses on trend confirmation visualization, you can enhance your decision-making by combining it with risk rules:
Stop Loss: Set SL just beyond the last Supertrend level before confirmation
ATR-Based Sizing: Use the same ATR value to dynamically size your position based on volatility
Fixed % Rule: Risk a fixed % of capital per confirmed flip (e.g., 1–2%)
Time-Based Exit: Exit trades that don’t follow through within N bars post confirmation
Stack with Strategy: Use this confirmation logic to trigger entries in a separate strategy script where strategy.entry() and strategy.exit() can be defined with precise risk parameters
Want a full example of how to integrate that? Let me know and I’ll turn this into a plug-and-play strategy version.
Disclaimer:
This tool was developed as part of the codapro AI engine — a modular signal and automation layer for trading systems.
It is for educational and informational purposes only and is not financial advice. Always backtest and verify before live deployment.
