High/Low ARDR-ADR-WDRR-DDR V1Tracks the high and Low in 4 different tIme Frames
ARDR-ADR-WDRR-DDR
-You can set your own time frames
-Display lines or boxes
-Each line can have its own label
-Set own colors and linestyles
-Each box can also have their own lines at 75%, 50% and 25% of the box if that's needed
-Toggle wich session to display
-Toggle to auto extend untill Extended time
-Toggle to live update lines/boxes during live priceaction or to display the lines / boxes after the End Time
DDR lines have no history, so after 15:55 the DDR lines disappear and gets drawn again the next day starting at 04:00.
Happy Trading!!
Indikatoren und Strategien
Market Acceptance Zones [Interakktive]Market Acceptance Zones (MAZ) identifies statistical price acceptance — areas where the market reaches agreement and price rotates rather than trends.
Unlike traditional support/resistance tools, MAZ does not assume where price "should" react. Instead, it highlights regions where multiple internal conditions confirm balance: directional efficiency drops, effort approximately equals result, volatility contracts, and participation remains stable.
This is a market-state diagnostic tool, not a signal generator.
█ WHAT THE ZONES REPRESENT
MAZ (ATF) — Chart Timeframe Acceptance
A MAZ marks an area where price displayed rotational behaviour and the auction temporarily agreed on value. These zones often act as compression regions, fair-price areas, or boundaries of consolidation where impulsive follow-through is less likely.
Use ATF MAZs to:
- Identify rotational environments
- Avoid chasing price inside balance
- Frame consolidation prior to expansion
MAZ • HTF / MAZ • 2/3 — Multi-Timeframe Acceptance (AMTF)
When Multi-Timeframe mode is enabled, MAZ evaluates acceptance on:
- The chart timeframe
- Two higher structural timeframes
If the minimum consensus threshold is met (default: 2 of 3), the zone is classified as AMTF. These zones represent stronger agreement and typically decay more slowly than single-timeframe acceptance.
AMTF zones are structurally stronger and are useful for:
- Higher-quality rotation areas
- Pullback framing within trends
- Context alignment across timeframes
H • MAZ — Historic Acceptance Zones
Historic MAZs represent older acceptance that has transitioned out of active relevance. These zones are hidden by default and can be enabled to provide long-term memory context.
█ AUTO MULTI-TIMEFRAME LOGIC
When MTF Mode is set to Auto, MAZ uses a deterministic structural mapping based on the current chart timeframe:
- 5m → 15m + 1H
- 15m → 1H + 4H
- 1H → 4H + 1D
- 4H → 1D + 1W
- 1D → 1W + 1M
This ensures consistent higher-timeframe context without manual configuration. Advanced users may switch to Manual mode to define custom timeframes.
█ ZONE LIFECYCLE
MAZ zones are dynamic and maintain an internal lifecycle:
- Active — Acceptance remains relevant
- Aging — Acceptance quality is degrading
- Historic — Retained only for memory context
Zones track price interaction and re-acceptance, which can stabilise or strengthen them. Weak or stale zones are automatically removed to keep the chart clean.
█ HOW TRADERS USE MAZ
MAZ is designed to provide structure, not entries.
Common applications include:
- Avoiding chop when price is inside acceptance
- Framing expansion after clean breaks from MAZ
- Identifying higher-quality rotational pullbacks (AMTF zones)
- Defining objective invalidation using zone boundaries
█ SETTINGS OVERVIEW
Market Acceptance Zones — Core
- Acceptance Lookback
- ATR Length
- Zone Frequency (Conservative / Balanced / Aggressive)
Market Acceptance Zones — Zones
- Maximum Zones
- Fade & Stale Bars
- Historic Zone Visibility (default OFF)
Market Acceptance Zones — Timeframes
- MTF Mode (Off / Auto / Manual)
- Manual Higher Timeframes
- Minimum Consensus Requirement
Market Acceptance Zones — Visuals
- Neon / Muted Theme
- Zone Labels & Consensus Detail
- Optional Midline Display
█ DISCLAIMER
This indicator is a market context and diagnostic tool only.
It does not generate trade signals, entries, or exits.
Past acceptance behaviour does not guarantee future price action.
Always combine with independent analysis and proper risk management.
BK AK-Warfare Formations👑 BK AK-Warfare Formations — Form the pride. Take the high ground. Strike with wisdom. 👑
Built for traders who think like commanders: see the formation, plan the maneuver, execute the strike.
🎖️ Full Credit (Engine + Logic — Trendoscope)
Original foundation (Trendoscope Auto Chart Patterns):
The entire pattern engine (multi-zigzag scanning, pivot logic, trendline-pair validation, geometric classification, drawing framework, overlap handling, and pattern caps) is by Trendoscope—one of the best coders on TradingView and the creator of this indicator’s core.
I’m not rewriting his war machine. I’m upgrading the interface and tactical readability so you can see structure faster and act cleaner.
🧩 BK Enhancements (on top of Trendoscope)
Built for clarity under pressure:
Short-form formation tags so your chart stays readable (AC/DC/RC/RWE/FWE/CT/DT/etc.)
Label transparency controls (text + background), including separate controls for short labels
Hover tooltips (toggle): hover a label to see the full pattern name + bias (Bullish/Bearish/Neutral)
Alerts upgraded with bias + category filtering (Channel / Wedge / Triangle)
Pattern border extension (optional): extends the two boundary lines forward by N bars so the battlefield edges stay visible (not extending random zigzag legs)
Everything else remains Trendoscope’s architecture and detection logic.
🧠 What It Does
Auto-detects and labels:
Channels
AC — Ascending Channel
DC — Descending Channel
RC — Ranging Channel
Wedges
RWE / FWE — Rising/Falling Wedge (Expanding)
RWC / FWC — Rising/Falling Wedge (Contracting)
Triangles
ATC / DTC — Asc/Desc Triangle (Contracting)
ATE / DTE — Asc/Desc Triangle (Expanding)
CT — Converging Triangle
DT — Diverging Triangle
You get clean battlefield tags (short codes) and optional hover briefings (full name + bias) without clutter.
🧭 How It Detects (So You Know It’s Not Random)
Trendoscope’s engine does this in a disciplined sequence:
Multi-Zigzag Sweep
Multiple zigzag levels scan the same market from different swing sensitivities.
Pivot Structure Validation (5 or 6 pivots)
A formation is only valid when pivot sequencing produces a legit trendline pair.
Trendline-Pair Rules
Upper boundary anchors to pivot highs
Lower boundary anchors to pivot lows
Geometry is measured (parallel / converging / diverging) to classify channel vs wedge vs triangle
Optional quality filters reduce warped/low-quality shapes (bar ratio checks, overlap avoidance, max pattern caps)
You’re not getting “art.” You’re getting validated geometry.
⚙️ Core Controls (What You Actually Tune)
Zigzag length/depth per level: swing sensitivity (faster vs cleaner)
Pivots used (5 or 6): tighter vs broader structures
Error/Flat thresholds: tolerance + what qualifies as “flat”
Avoid overlap: prevents stacking junk on top of junk
Max patterns: keeps the chart from becoming noise
Label system: short codes, transparency, tooltips, bias visibility
Border extension: projects the structure edges forward for planning
🗺️ Read the Battlefield (Tactical Translation)
AC (Ascending Channel): trend carry; buy pullbacks to the lower wall, manage risk outside structure
DC (Descending Channel): late down-leg; watch for momentum shift + reclaim = tactical reversal zone
RWE (Rising Wedge): distribution bias; break + failed retest is where weakness shows
CT / DT (Triangles): compression → expansion; plan edges, not the middle
Structure is the map. Bias is the compass. Your risk plan is the sword.
🧑🏫 Mentor A.K. (Respect Where It’s Due)
A.K. is the discipline behind this project.
Patience. Clean execution. No gambling. No chasing.
His standard is in every choice: reduce noise, sharpen structure, force clarity.
This is why the labels are tight, the tooltips are direct, and the features serve execution—not ego.
🤝 Give Forward (The Code of the Camp)
If this indicator sharpens your edge:
Teach one trader how to read structure with discipline (not hype)
Share process, not just screenshots (entries, invalidation, management)
If you build on open work, credit loudly and improve responsibly
A king builds men. A lion builds courage. A camp survives because knowledge moves forward.
👑 King Solomon’s Standard
This is warfare—market warfare—so we move by wisdom, not emotion:
“By wise counsel you will wage your own war, and in a multitude of counselors there is safety.” — Proverbs 24:6
BK AK-Warfare Formations — where formation meets judgment, and judgment meets execution.
Gd bless. 🙏
Dragon Flow Arrows (LITE)🚀 DRAGON FLOW ARROWS | Smart Trend Engine + Clean Reversal Arrows
A lightweight but highly-optimized trend system designed for clean charts, powerful visual signals, and no-noise directional flow. Built for traders who want simplicity, clarity, and professional-level momentum-filtered signals without over-complication.
🔥 Dragon Channel (Clean 3-Line Ribbon)
A smooth adaptive channel formed from ATR + EMA, giving you structural trend zones without clutter.
✅ Dragon Flow Gradient
A horizontal, color-shifted flow:
🟢 Bull flow → green glow
🔴 Bear flow → red glow
Automatic blend based on trend direction
Smooth visual transitions (no vertical stripes)
✅ Momentum-Filtered Arrows
BUY/SELL arrows only print when:
Price breaks outside the Dragon Channel
Momentum confirms (RSI + MACD filters)
Trend flips → one clean arrow per direction
✅ Smart Header Panel
At the top of your chart:
📌 Trend: Uptrend / Downtrend / Neutral
⚡ Impulse Strength: Weak / Normal / Strong
📊 How to Use
Entry:
- BUY Setup
Price moving above baseline
Dragon Flow turns bullish (cyan side)
Arrow appears below channel
- SELL Setup
Price breaks below baseline
Dragon Flow turns bearish (magenta side)
Arrow pops above channel
Exit / Filter:
Opposite arrow
Flow color shift
Trend panel flips
Works on Forex, Crypto, Stocks, Indices — all timeframes (just adjust the channel length).
Happy trading!
Supply & Demand Zones (Volume-Based)📌 Supply & Demand Zones (Volume-Based) — Indicator Description
Overview
This indicator visually highlights potential supply and demand price zones using historical candle structure combined with relative volume behavior.The zones are intended to help users observe areas of increased market activity where price has previously reacted. This tool is designed for visual analysis only.
How the Zones Are Identified
Demand zones are highlighted when price shows a strong bullish reaction following a bearish candle.Supply zones are highlighted when price shows a strong bearish reaction following a bullish candle.Relative volume is used as context, not as a predictive input, to classify zones into higher or lower activity levels.Zones automatically invalidate when price structurally breaks them.
About the Percentage Display
The percentage shown on a zone represents normalized relative volume strength at the time the zone was formed.This value is not a probability, not a success rate, and not a performance metric.It should not be interpreted as a prediction or trading signal.Percentages are displayed only for active zones and are removed once a zone is invalidated.
How This Indicator Is Intended to Be Used
As a visual reference tool for identifying historical supply and demand areas.As a contextual overlay alongside other forms of technical analysis.To observe how price behaves when revisiting previously active zones.This indicator does not suggest trade direction, entry timing, or exit levels.
Important Notes & Limitations
All zones are derived from historical price and volume data.Market conditions change, and historical zones may lose relevance over time.No trading decisions should be made based solely on this indicator.Users are encouraged to apply their own analysis and risk management.
Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute trading, investment, or financial advice.The author assumes no responsibility for decisions made using this tool.
HTF Fractal Boxes by TAAKOWhat This Indicator Does
This indicator displays higher timeframe (HTF) candlesticks as an overlay on your current chart, allowing you to see larger timeframe price action without switching charts.
Key Features:
Shows the last 3 completed HTF candles (configurable)
Displays a 4th candle with dashed lines showing the current forming HTF bar
Each candle includes full OHLC data: body (open/close) and wicks (high/low)
Candles are color-coded: green for bullish, red for bearish, blue for neutral
Positioned on the right side of your chart for easy reference
Automatically scales with your Y-axis price movements
ChromaFlows Momentum Index | LUPENIndicator Guide: ChromaFlows Momentum Index
Overview
The ChromaFlows Momentum Index is a next-generation momentum oscillator designed to filter out market noise and visualize pure trend strength. Unlike traditional indicators that often give conflicting signals, ChromaFlows uses a Consensus Algorithm. It simultaneously analyzes three distinct engines—RSI, Fast Stochastic, and Slow Stochastic—and only lights up when they all agree on the market direction.
The result is a fluid, glowing "Wave" that provides an immediate visual read on market sentiment:
Green Glow: Strong Bullish Consensus (Safe to buy/hold).
Red Glow: Strong Bearish Consensus (Safe to sell/short).
Gray/Neutral: Indecision or Choppy Market (Stay out or tread carefully).
Key Visual Components
1. The Gradient Wave (Main Oscillator)
This is the heartbeat of the indicator. It is usually based on the Slow Stochastic (customizable in settings) but its color is determined by the Consensus Logic.
How to read it: The higher the wave, the more overbought; the lower, the more oversold. However, pay attention to the Glow Intensity. A bright, solid color indicates all underlying indicators are aligned.
2. The SMI Line (Gold Line)
Overlaid on the wave is the SMI (Stochastic Momentum Index) Blau line. This acts as a fast-moving "Signal Line".
Usage: Watch for how this line interacts with the main wave. It leads price action and often signals reversals before they happen.
3. Signal Arrows (Triangles on the Wave)
▲ Cyan Triangle: SMI Crossover UP. This occurs when the Main Wave crosses above the SMI Signal line. This is a potential Long Entry.
▼ Magenta Triangle: SMI Crossover DOWN. This occurs when the Main Wave crosses below the SMI Signal line. This is a potential Short Entry.
4. Hull Trend Markers (Circles/Shapes at Edges)
Located at the very top and bottom of the indicator panel are the Hull Moving Average (HMA) filters.
Bottom Blue/Green Marker: The longer-term Hull Trend is UP.
Top Orange/Red Marker: The longer-term Hull Trend is DOWN.
How to Trade Strategy
✅ The "Flow" Setup (High Probability)
This strategy focuses on taking trades with the momentum consensus.
Wait for the Glow: Look for the Wave to turn Neon Green (Bullish) or Neon Red (Bearish). This confirms momentum is present.
Check the Filter: Ensure the Hull Trend Marker (at the top/bottom) matches the wave color (e.g., Blue marker + Green Wave).
The Trigger: Enter when a Triangle Signal Arrow appears in the direction of the color.
Example: Wave is Green + Cyan Triangle appears = STRONG BUY.
⚠️ The "Reversal" Setup (Aggressive)
Divergence: Price makes a new high, but the ChromaFlows Wave makes a lower high.
Color Shift: The wave changes from Green to Gray (Neutral), indicating momentum is dying.
The Trigger: Wait for a Magenta Triangle (Cross Down) to confirm the reversal.
⛔ The "No-Trade" Zone
When the Wave is Gray and hovering near the zero line, the markets are ranging or the indicators are conflicting. It is statistically safer to stand aside until the "ChromaFlow" (Green or Red color) returns.
Settings Configuration
Wave Source: Choose which oscillator drives the main wave (Default: Stochastic_2).
Consensus Sensitivity: Adjust the periods of the RSI and Stochastics to make the "Glow" appear faster (more signals) or slower (more filtering).
Visuals: All colors are fully customizable via Hex codes to match your chart theme.
Risk Adjusted Geometric Exponent [VynthraQuant]RAGE Index (Risk-Adjusted Geometric Exponent)
Overview
The RAGE Index is a quantitative momentum oscillator that measures the efficiency and quality of an asset's price trend. Standing for Risk-Adjusted Geometric Exponent , this indicator goes beyond simple price action by evaluating the average logarithmic growth rate relative to the asset's volatility.
In institutional finance, it is not just about how much an asset moves, but how it moves. RAGE identifies trends that exhibit high compounding growth with minimal "noise" or volatility.
The Logic Behind RAGE
The indicator is built on two core quantitative pillars:
1. Geometric Exponent (GE): Instead of simple percentage changes, we calculate the geometric mean of log-returns. This represents the true compounding "velocity" of the price.
2. Volatility Normalization: We divide the GE by the standard deviation of returns (Volatility) over a specific lookback period.
How to Interpret the RAGE Index
* The Zero Line: The most critical level. When RAGE crosses above 0, the asset has entered a state of positive geometric growth. Below 0, the asset is in a state of efficient decay.
* Trend Quality: A rising RAGE value indicates that the trend is becoming more "efficient", growth is increasing while volatility is staying low or decreasing.
* Color-Coded Candles: The script features a `force_overlay` function that colors the candles on your main chart.
* Bullish Color: Efficient growth detected (Long bias).
* Bearish Color: Efficient decay detected (Short bias).
Key Features
* Logarithmic Accuracy: Uses log-returns to ensure time-additivity and eliminate the bias found in standard percentage calculations.
* Adaptive to Volatility: Unlike a standard RSI or MACD, RAGE penalizes "choppy" price action, helping you stay out of sideways markets.
* Optimized Performance: Written in Pine Script v6 with high-efficiency math to ensure fast loading even on lower timeframes.
Settings
* GE Lookback: The window used to calculate the average growth rate.
* Volatility Lookback: The window used to measure the "risk" or noise of the price action.
General Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. The creator bears no responsibility for any financial decisions or losses resulting from its use. Past performance is not indicative of future results.
Islamic Disclaimer
All trading activity should be approached with awareness of halal and haram principles. Ensure your investments, instruments, and methods align with Islamic ethical standards. This tool does not promote speculative or impermissible practices.
HTF Accumulation Distribution Zones (Analysis)📌 Indicator Name
HTF Accumulation–Distribution Zones (Analysis)
This indicator highlights potential accumulation and distribution contexts on the price chart using a combination of volume behavior, volatility (ATR), momentum, and VWAP positioning.The script is designed to help traders understand market participation and positioning, especially on higher intraday and swing timeframes, where institutional activity tends to leave clearer footprints.
🔍 What the indicator shows
ACC (Accumulation) : Marks areas where controlled buying activity may be present, identified through:
Strong candle structure relative to volatility
Healthy or controlled volume participation
Improving momentum within defined ranges
DIST (Distribution) : Marks areas where selling pressure may be emerging, identified through:
Price stretching away from VWAP
Weakening momentum
Strong bearish candle structure
These labels represent contextual zones, not trade signals.
🧠 How to use it
Use ACC and DIST labels as market context, not as direct buy or sell instructions.
Best used as a confirmation layer alongside:
Trend filters (EMA, VWAP, structure)
Support & resistance
Breakout or pullback strategies
Works well on 15-minute, 30-minute, 1-hour, and higher timeframes
Suitable for indices, futures, and liquid stocks
⚠️ Important Notes
This indicator does not generate buy or sell signals. It does not predict future price movement. All outputs are based purely on historical data analysis. Always apply independent confirmation and proper risk management
Geometric Exponent [VynthraQuant]Overview
The Geometric Exponent is a specialized momentum and trend-strength indicator designed to quantify the average logarithmic growth rate of an asset over a specific lookback period. Unlike standard moving averages, this indicator focuses on the geometric mean of returns, providing a more accurate representation of compounded growth or decay.
By smoothing out the noise of daily price fluctuations through log-returns, the Geometric Exponent helps traders identify the underlying "velocity" of a trend.
How it Works
The indicator calculates the log-return for each bar within the user-defined GE Lookback period. It then computes the arithmetic mean of these log-returns, which mathematically represents the exponent of the geometric growth over that window.
Positive Values: Indicate a period of geometric growth (upward trend).
Negative Values: Indicate a period of geometric decay (downward trend).
Zero Line: Acts as the equilibrium point where there is no net growth.
Key Features
Log-Return Basis: Better suited for financial time series analysis than simple percentage changes, as log-returns are time-additive.
Customizable Lookback: Adjust the GE Lookback to fit your trading style, from fast-reacting scalping to long-term trend following.
Clean Visuals: An oscillator-style plot that makes it easy to spot momentum shifts and divergences.
How to Use
Trend Confirmation: Look for the Geometric Exponent to stay consistently above zero for long-term bullish trends and below zero for bearish trends.
Mean Reversion: Extreme peaks or valleys in the exponent may suggest that the current growth rate is unsustainable, potentially signaling an upcoming retracement.
Divergence: If price makes a new high but the Geometric Exponent makes a lower high, it suggests the "compounding power" of the trend is weakening.
General Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. The creator bears no responsibility for any financial decisions or losses resulting from its use. Past performance is not indicative of future results.
Islamic Disclaimer
All trading activity should be approached with awareness of halal and haram principles. Ensure your investments, instruments, and methods align with Islamic ethical standards. This tool does not promote speculative or impermissible practices.
FNO Simple Signals: EMA 9/21 + VWAP by Avis
How it behaves on chart (5 or 15 min F&O):
BUY signal: EMA 9 crosses above EMA 21 and price is above VWAP → one green “BUY” triangle under that candle.
SELL signal: EMA 9 crosses below EMA 21 and price is below VWAP → one red “SELL” triangle above that candle.
Below is a clean, stable indicator for F&O: EMA 9/21 + VWAP + very light ORB, no risky time arithmetic.
TICK.US Dashboard 5mIt's a very simple script, It displays the TICK.US Timeframe 5 mn on your template
VIX Percentile OscillatorWhat is this script?
This is a trading tool that helps you decide when to buy or sell options based on market volatility. Think of it as a "fear meter" for the stock market.
What is VIX?
VIX = Volatility Index (also called the "fear index")
When VIX is HIGH → Market is scared/volatile → Options are EXPENSIVE
When VIX is LOW → Market is calm → Options are CHEAP
What does "Percentile" mean?
Instead of just showing VIX price, this script shows where VIX is compared to history.
Example: If VIX Percentile = 85%
This means VIX is higher than 85% of all past readings
Only 15% of the time was VIX higher than now
Translation: Volatility is unusually HIGH
The 5 Trading Zones
The script divides the market into 5 zones:
🔴 EXTREME SELLING ZONE (90-100%)
VIX is in the top 10% historically
Action: AGGRESSIVELY SELL OPTIONS (collect big premiums)
Market panic = expensive options = profit for sellers
🟠 SELLING ZONE (80-89%)
VIX is elevated but not extreme
Action: SELL OPTIONS (good premiums available)
⚪ NEUTRAL ZONE (20-79%)
VIX is normal
Action: WAIT or use other strategies
🟢 BUYING ZONE (10-19%)
VIX is low
Action: BUY OPTIONS (they're cheap)
🟢 EXTREME BUYING ZONE (0-9%)
VIX is in the bottom 10% historically
Action: AGGRESSIVELY BUY OPTIONS (bargain prices)
Market complacency = cheap options = opportunity
Understanding the Chart
Main Line (Blue/Red/Green):
Shows current VIX percentile
Color changes based on zone
Thick line = easy to see
Histogram (Background bars):
Red bars = above 50% (high volatility)
Green bars = below 50% (low volatility)
Purple Momentum Line:
Shows if VIX is rising or falling
Helps you catch trends early
Background Colors:
Light red/orange = Selling zones
Light green = Buying zones
Triangle Markers:
Appear when entering new zones
"EXTREME" label = strongest signals
The Statistics Table (Top Right)
VIX Price: Current VIX value (e.g., 16.50)
Percentile: Where VIX ranks (0-100%)
Z-Score: Statistical measure
Above +2 or below -2 = extreme
Red text = unusually high/low
Momentum: Rate of change
Red = rising (volatility increasing)
Green = falling (volatility decreasing)
Avg VIX: Average VIX over lookback period
Current Zone: Which zone you're in right now
Bars in Zone: How long you've been in this zone
Simple Trading Rules
FOR OPTION SELLERS (Premium Collectors):
✅ SELL when: Percentile > 80% (especially > 90%)
High premiums available
Examples: Sell covered calls, cash-secured puts, credit spreads
FOR OPTION BUYERS (Hedgers/Speculators):
✅ BUY when: Percentile < 20% (especially < 10%)
Cheap options available
Examples: Buy protective puts, long calls, debit spreads
Key Settings You Can Adjust
Lookback Period (default: 252)
How far back to compare (252 = 1 year of trading days)
Longer = smoother, more stable
Shorter = more sensitive to recent changes
Smoothing Period (default: 3)
Reduces noise/wiggling
Higher = smoother line
Lower = more responsive
Zone Thresholds:
Extreme Sell: 90%
Sell: 80%
Buy: 20%
Extreme Buy: 10%
You can customize these!
Real-World Example
Scenario: VIX Percentile jumps to 92%
What this means:
VIX is higher than 92% of all past readings
Market is in panic mode
Option premiums are INFLATED
Trading Action:
✅ Sell covered calls on stocks you own
✅ Sell cash-secured puts on stocks you want to buy
✅ Sell credit spreads
❌ DON'T buy expensive options right now
Why it works: When fear is extreme, it usually calms down eventually. You profit as premiums deflate.
Important Reminders
⚠️ This is a TIMING tool, not a crystal ball
It tells you WHEN premiums are expensive/cheap
It doesn't tell you WHICH options to trade
You still need proper risk management
⚠️ Works on ALL timeframes
Daily charts = swing trading
Weekly charts = position trading
Intraday charts = day trading volatility
⚠️ Best for:
Option sellers during high VIX (>80%)
Option buyers during low VIX (<20%)
Portfolio hedging decisions
Volatility trading strategies
Bottom Line: This script helps you buy options when they're cheap and sell options when they're expensive. It's like shopping for sales, but for volatility!
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
IDAHL | QuantEdgeBIDAHL | QuantEdgeB
🔍 Overview
The IDAHL indicator builds adaptive, volatility-aware threshold bands from two separate ALMA lines—one smoothed from recent highs, the other from recent lows—then uses percentiles of those lines to define a dynamic “high/low” channel. Price crossing above or below that channel triggers clear long/short signals, with on-chart candle coloring, fills, optional labels and even a built-in backtest table.
✨ Key Features
• 📈 Dual ALMA Bands (with DEMA pre-smoothing)
o High ALMA: ALMA applied to DEMA-smoothed highs (high → DEMA(30) → ALMA).
o Low ALMA: ALMA applied to DEMA-smoothed lows (low → DEMA(30) → ALMA).
• 📊 Percentile Thresholds
o Computes a high threshold at the Xth percentile of the High ALMA over a lookback window.
o Computes a low threshold at the Yth percentile of the Low ALMA.
o Shifts each threshold forward by a small period to reduce repainting.
• ⚡ Dynamic Channel Logic
o When price closes above the high percentile line, the “final” threshold flips down to the low percentile line (and vice versa), creating an adaptive channel that only moves when the outer bound is violated.
o Inside the channel, the threshold holds its last value to avoid whipsaw.
• 🎨 Visual & Alerts
o Plots the two percentile lines and fills between them with a color that reflects the current regime (green for long, yellow for neutral, orange for short).
o Colors your candles to match the active signal.
o Optional “Long”/“Short” labels on confirmed flips.
o Alert conditions fire on each long/short crossover.
• 📊 On-Chart Backtest Metrics
o Toggle on a small performance table—complete with win-rate, net P/L, drawdown—from your chosen start date, without any extra code.
⚙️ How It Works
1. Adaptive Smoothing (ALMA)
o Uses ALMA (Arnaud Legoux Moving Average) for smooth, low-lag filtering. In this script, the inputs are additionally pre-smoothed with DEMA(30) to reduce noise before ALMA is applied—improving stability on highs/lows.
2. Percentile Lines
o The High ALMA series feeds a linear-interpolation percentile function to generate the upper bound; the Low ALMA produces the lower bound.
o These lines are offset by a small look-ahead (X bars) to reduce repaint behavior.
3. Channel Logic
o Breakout Flip: When the selected source (default: Close) closes above the upper bound, the active threshold “jumps” to the lower bound—locking in a new channel until price next crosses.
o Breakdown Flip: Conversely, a close below the lower bound flips the threshold to the upper bound.
4. Signal Generation
o Long while the source is above the current “final” threshold.
o Short while below.
o Neutral inside the channel before any flip.
5. Visualization & Alerts
o Dynamic fills between the two percentile lines change hue as the regime flips.
o Candles adopt the regime color.
o Optional pinned “Long”/“Short” labels at flip bars.
o Alerts on every signal crossover of the zero-based regime line.
6. Backtest Table
o From your chosen start date, a mini-table displays cumulative P/L, win rate and drawdown for this strategy—handy for quick in-chart validation.
🎯 Who Should Use It
• Breakout Traders hunting for adaptive channels that auto-recenter on new highs/lows.
• Volatility Traders who want thresholds that expand and contract with market turbulence.
• Trend-Chasers seeking a fresh take on high/low channels with built-in smoothing.
• Systematic Analysts who appreciate on-chart backtesting without leaving TradingView.
⚙️ Default Settings
• ALMA Length: 14
• Percentile Length: 35 bars
• Percentile Lookback Period (offset): 4 bars
• Upper Percentile: 92%
• Lower Percentile: 50%
• Threshold Source: Close
• Visuals: Candle coloring on, labels off by default, “Strategy” palette
• Backtest Table: on by default (toggleable)
• Start Date (Backtest): 09 Oct 2017
📌 Conclusion
IDAHL blends two smooth, low-lag ALMA filters (fed by DEMA-smoothed highs/lows) with percentile-based channel construction for a self-rewiring high/low envelope. It gives you robust breakout/breakdown signals, immediate visual context via colored fills and candles, optional labels, alerts, and even performance stats—everything you need to spot and confirm regime shifts in one compact script.
🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
#BLTA - CARE 7891🔷 #BLTA - CARE 7891 is an overlay toolkit designed to support structured trading preparation and chart reading. It combines a manual Trade Box + Lot Size/Risk panel, session background highlights (NY time), confirmed Previous Day/Week High-Low levels, an Asian range liquidity box, a 1H ZigZag market-structure projection, and an imbalance map (FVG / OG / VI) with an optional dashboard.
This script is an indicator (not a strategy). It does not place orders and is intended for planning, risk visualization, and market context.
✅ Main Modules
1) 💸 Risk Module (Trade Box + Lot Calculation + Table)
A complete manual trade-planning tool:
Pick an Entry Point (EP) and Stop Loss (SL) directly on the chart using input.price(..., confirm=true).
Automatically calculates:
Cash at Risk
SL distance (pips) (Forex-aware)
Lot size based on your:
Account balance
Risk %
Units per lot
Account base currency (with conversion if needed)
Draws:
Risk box (EP ↔ SL)
Target box (RR-based TP)
Displays a clean table panel with the key values.
🔁 Re-confirm Mode (Wizard)
Use “Re-confirm Trade Box Points” to force a clean logical reset and re-pick EP/SL/time anchors:
Shows temporary EP/SL labels
Shows a small wizard table guiding you step-by-step
Turn it OFF to return to normal risk table + boxes
Tip: If your chart timeframe changes or you want a fresh selection, Re-confirm mode is the safest way to reset everything cleanly.
2) 🎨 Session Visualization (New York Time)
Highlights chart background for these windows:
Day Division (17:00–17:01 NY)
London (03:00–05:00 NY) + sub-windows
New York (08:00–10:30 NY) + sub-windows
Colors are fully configurable from inputs.
3) 📰 Confirmed PDH/PDL (Previous Days)
Optional module that plots confirmed Previous Day High (PDH) and Previous Day Low (PDL):
Trading day is defined as 17:00 → 17:00 NY
Lines start exactly at the candle where the high/low occurred
Lines extend forward and can freeze when price touches them
Configurable: days to keep, style, width, and “stop on hit”
4) 📅 Confirmed Weekly High/Low (Previous Weeks)
Optional module that plots confirmed Weekly High/Low:
Confirmation occurs at Sunday 17:00 NY (typical FX week boundary)
Lines begin at the candle where the weekly extremes formed
Extends forward and can freeze on touch
Configurable: weeks to keep, style, width, stop-on-hit
5) 🈵 Asian Range Liquidity Box
Draws a session box that tracks high/low and optional midline (50%):
Uses New York time
Dynamic updates while session is active
Optional mid label and configurable line style/width
6) 📈 Market Structure - ZigZag (1H projected)
A ZigZag structure engine calculated on 1H and projected onto any timeframe:
Configurable:
Length
Source type (High/Low or Open/Close)
Colors and width
Opacity when viewing non-1H charts
Optional live extension of the last leg
Includes safe cleanup when toggling OFF (no leftover objects)
7) 📊 Imbalance Detector (FVG / OG / VI) + Dashboard
Detects and draws:
Fair Value Gaps (FVG)
Opening Gaps (OG)
Volume Imbalances (VI)
Optional dashboard shows frequencies and fill rates.
Attribution / Credits
This module is inspired by / adapted from the public concept widely known as “Imbalance Detector” (LuxAlgo-style logic). This script is independently packaged and integrated as part of the toolkit with additional modules and custom structure.
⚙️ How to Use (Quick Steps)
Add the indicator to the chart (overlay).
Enable 💸 Risk Module if you want trade planning.
Go to Trade Box Location and pick:
Entry Point (EP)
Stop Loss (SL)
Time anchors for box edges
Adjust:
Account balance, risk %, units per lot, RR target
Enable additional modules as needed:
Session backgrounds
PDH/PDL
Weekly High/Low
Asian range box
ZigZag
Imbalances + dashboard
🔎 Notes & Limitations
This script is for visual planning and context, not trade execution.
Lot sizing is based on the selected EP/SL and your inputs; always double-check broker rules, symbol specifications, and contract size.
Object-heavy features (boxes/lines/tables) may increase load on lower-end devices or very small timeframes.
Option Price SR (csgnanam)## ⚖️ Disclaimer
This script is provided for **educational and analytical purposes only**.
It does not constitute financial advice.
Use proper risk management and trade responsibly.
---
## 📌 Indicator Concept & Trading Logic
This is a rule-based reference indicator designed to interpret **option price behavior** using **previous-day derived equilibrium levels**.
The indicator helps traders classify the market into **range-bound, breakout, or invalid trade zones** by observing how **ATM Call (CE) and Put (PE)** prices react around these levels.
All levels are **fixed for the trading day** and recalculated only on the next session.
---
## 📊 Core Levels Explained
The indicator plots the following **daily-anchored reference levels**:
* **PDH / PDL** – Previous Day High / Low of the option
* **PDC** – Previous Day Close
* **100% AVG (Breakout Zone)**
Average of previous-day CE and PE prices for the same strike
* **75% AVG (Midzone)**
Balance / decision zone
* **50% AVG (Support Zone)**
Lower acceptance / decay boundary
These levels act as **reaction zones**, not prediction lines.
---
## 🧠 Market Interpretation Logic
### 1️⃣ Range-Bound Market Condition
* When **both ATM CE and ATM PE** are **trading within the 100% AVG (Breakout) level**,
the market has a **high probability of remaining range-bound**.
* Premium expansion is limited on both sides.
* Ideal environment for **non-directional strategies**.
---
### 2️⃣ Breakout Validation
* A **true directional move** requires **asymmetry** between CE and PE.
* If **one side moves into breakout**, the **opposite side must stay suppressed**.
**Example:**
* If **CE breaks down below Midzone**,
then **PE must be above Breakout or at least above Midzone**.
* The same logic applies inversely for PE breakdowns.
This confirms **capital rotation**, not random premium decay.
---
### 3️⃣ Midzone (75%) – Reversal Watch Area
* The **Midzone** is a **high-probability reaction area**.
* Many intraday reversals initiate from this level.
* Price acceptance or rejection here defines:
* Continuation
* Mean reversion
* Failed breakout
This zone should be **closely monitored for structure and volume behavior**.
---
### 4️⃣ Support Zone (50%) – Trade Invalidation
* When an option price trades **below the Support (50%) level**:
* That option side becomes **non-tradable**
* Premium strength is lost
* Risk increases significantly
Trades **below support** are considered **low probability** and should be avoided.
---
## ⚠️ Important Usage Notes
* This indicator is **not a buy/sell signal generator**
* It is a **context and decision-filter tool**
* Best used in combination with:
* Price action
* Structure
* Spot/index behavior
* Time-of-day context
All levels are **session-anchored** and do **not repaint intraday**.
---
## 🎯 Intended Use Case
* Intraday option traders
* ATM / near-ATM focus
* Range vs directional market identification
* Premium behavior analysis
* Trade filtering and risk control
---
IFVG BIASIFVG Bias Dashboard (15M / 30M / 1H / 4H)A clean, multi-timeframe ICT-inspired directional bias dashboard based on Implied Fair Value Gaps (IFVG).This indicator tracks the current bullish or bearish bias derived from the most recent valid Implied Fair Value Gap on four key higher timeframes: 15-minute, 30-minute, 1-hour, and 4-hour. It displays the results in an easy-to-read table directly on your chart — perfect for quickly assessing alignment across timeframes without switching charts.How It Works (ICT-Style IFVG Logic)Detects classic three-candle IFVGs:Bullish IFVG: Current low > high two bars ago (aggressive buying leaving an inefficiency).
Bearish IFVG: Current high < low two bars ago (aggressive selling).
When an IFVG forms, it sets the bias to match its direction (Bullish = +1, Bearish = -1).
The bias remains persistent until either:A new IFVG forms in the opposite direction, or
Price closes beyond the opposite boundary of the current IFVG (mitigation/invalidation), which flips the bias.
This creates a simple yet effective "last valid IFVG" bias that only changes on meaningful price action.
FeaturesMulti-timeframe analysis via request.security() on 15M, 30M, 1H, and 4H.
Compact table in the top-right corner showing:Timeframe (TF)
Current Bias: "Bullish" (solid green background) or "Bearish" (solid red background)
No repainting on historical bars; table updates only on the last confirmed bar.
Lightweight and overlay-friendly — does not draw boxes or lines, focusing purely on bias direction.
Ideal ForICT / Smart Money Concepts (SMC) traders looking for higher-timeframe confluence.
Confirming trend direction before taking lower-timeframe entries.
Spotting potential bias shifts when an IFVG is mitigated on higher timeframes.
A straightforward tool for staying aligned with institutional order flow inefficiencies across multiple timeframes. Add it to your chart and instantly see where the bias stands!
RS Rating Multi-Timeframe v2RS Rating Multi-Timeframe
A relative strength rating indicator modeled after IBD's proprietary RS Rating system. This indicator measures a stock's price performance relative to the S&P 500 (or any benchmark you choose) and converts it to a 1-99 rating scale.
How It Works
The indicator calculates weighted performance ratios across four timeframes:
40% weight: 63-day (3-month) performance
20% weight: 126-day (6-month) performance
20% weight: 189-day (9-month) performance
20% weight: 252-day (12-month) performance
This weighting emphasizes recent performance while still accounting for longer-term strength—the same methodology used by leading growth stock research services.
Rating Scale
90-99: Elite relative strength (top 10% of stocks)
80-89: Strong relative strength (top 20%)
50-79: Average performance
30-49: Below average
1-29: Weak relative strength (bottom 30%)
Features
Customizable benchmark index (default: S&P 500)
Optional moving average overlay (EMA or SMA)
Visual zones with color-coded backgrounds
Signal markers when RS crosses key thresholds (80 and 30)
Info table showing current rating, daily change, MA value, and raw score
Built-in alerts for threshold crossovers
Pine Screener Compatible
This indicator includes state-based plots specifically designed for TradingView's Pine Screener. You can screen watchlists for:
RS Above 90, 80, 70, or 50
RS Below 50 or 30
RS Above/Below its moving average
Custom thresholds using the raw RS Rating value
In the Pine Screener, select the "Screener RS Above 80" output and set it to "True" (or equals 1) to find all stocks currently above 80—not just those crossing on that bar.
Usage Tips
Growth investors typically look for stocks with RS Ratings above 80, indicating the stock is outperforming 80% of the market. Combining high RS Rating with other technical signals (breakouts, volume, moving averages) can help identify leading stocks.
ZERO LANG Nube EMA 18-36 + Volumen EstrictoThis indicator is designed to show market trends using a cloud pattern. When the price retests the cloud and bounces back across it with high volume, it generates a buy signal, and vice versa when the price falls.
It uses the 18-period EMA and the 36-period EMA.
Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure.
At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior.
The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred.
🔹 Features
🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis)
HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter:
- H > Trend Start threshold suggests trend persistence and directional continuation.
- H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value.
Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias.
This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility.
🔸 Dual Channel Engine (Fast vs Slow Models)
Instead of relying on one fixed channel, HOAC computes two independent channel candidates:
Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments.
Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow.
Each model produces:
- A midline (basis)
- Outer bands (wider deviation)
- Inner bands (tighter deviation)
This structure gives you a clear core zone and an outer envelope that better represents volatility expansion.
🔸 Rolling Optimization Memory (Model Selection by Error)
HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error.
This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?”
Additionally:
If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most.
🔸 Optional Output Smoothing (User-Selectable)
The final selected channel can be smoothed using your choice of:
- SMA
- EMA
- HMA
- RMA
This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine.
🔸 Premium Visualization Layer (Inner Core + Outer Fade)
HOAC uses a layered band design:
- Inner bands define the core equilibrium zone around the midline.
- Outer bands define an extended volatility envelope for extremes.
Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity.
🔸 Adaptive Bar Tinting Strength (Regime Intensity)
Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle.
🔸 Mean-Reversion Signal Layer
Mean-reversion signals are enabled when the environment is not classified as Trending:
- Buy when price crosses back above the lower outer band
- Sell when price crosses back below the upper outer band
This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default.
🔸 Minimalist Dashboard (HUD)
A compact table displays:
- Current regime classification
- Smoothed Hurst value
- Which model is currently preferred (Fast or Slow)
- Trend flow direction (based on midline slope)
🔹 Calculations
1) Robust Hurst Exponent (R/S Analysis)
The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent.
calc_robust_hurst(int length) =>
float r = math.log(close / close )
float returns = array.new_float(length)
for i = 0 to length - 1
array.set(returns, i, r )
float mean = array.avg(returns)
float cumDev = 0.0
float maxCD = -1.0e10
float minCD = 1.0e10
float sumSqDiff = 0.0
for i = 0 to length - 1
float val = array.get(returns, i)
sumSqDiff += math.pow(val - mean, 2)
cumDev += (val - mean)
if cumDev > maxCD
maxCD := cumDev
if cumDev < minCD
minCD := cumDev
float R = maxCD - minCD
float S = math.sqrt(sumSqDiff / length)
float RS = (S == 0) ? 0.0 : (R / S)
float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5
hurst
This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure.
2) Hurst Smoothing
Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions.
float rawHurst = calc_robust_hurst(i_hurstLen)
float hVal = ta.ema(rawHurst, i_smoothHurst)
This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display.
3) Regime Classification
The smoothed Hurst reading is compared to user thresholds to label the environment.
string regime = "NEUTRAL"
if hVal > i_trendZone
regime := "TRENDING"
else if hVal < i_chopZone
regime := "MEAN REV"
Higher Hurst implies more persistence, so the indicator treats it as a trend environment.
Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation.
4) Dual Channel Models (Fast and Slow)
HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers.
Fast model (more reactive):
float fastBasis = ta.wma(close, 20)
float fastDev = ta.stdev(close, 20)
ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis))
Slow model (more stable):
float slowBasis = ta.wma(close, 50)
float slowDev = ta.stdev(close, 50)
ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis))
Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)).
5) Rolling Error Memory and Model Preference
To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals.
var float errFast = array.new_float()
var float errSlow = array.new_float()
update_error(float errArr, float error, int maxLen) =>
errArr.unshift(error)
if errArr.size() > maxLen
errArr.pop()
Each bar updates both error histories and computes which model has lower recent accumulated error.
update_error(errFast, fastM.error, i_optLookback)
update_error(errSlow, slowM.error, i_optLookback)
bool preferFast = errFast.sum() < errSlow.sum()
This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars.
6) Winner Selection Logic (Regime-Aware Hybrid)
The final model selection uses both regime and rolling error performance.
ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM)
rawMid := winner.mid
rawUp := winner.upper
rawDn := winner.lower
rawUpInner := winner.upper_inner
rawDnInner := winner.lower_inner
In Mean Reversion, the script forces the fast model to ensure responsiveness.
Otherwise, it selects the lowest-error model between fast and slow.
7) Optional Output Smoothing
After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type.
smooth(float src, string type, int len) =>
switch type
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"HMA" => ta.hma(src, len)
"RMA" => ta.rma(src, len)
=> src
float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid
float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp
float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn
float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner
float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner
This preserves decision integrity since smoothing happens after model selection, not before.
8) Dynamic Visual Intensity From Hurst
Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints.
int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
High-Probability Scalper (Market Open)Market open is where volatility is real, spreads are tight, and momentum shows itself early. This scalping strategy is built specifically to operate during that window, filtering out low-quality signals that usually appear later in the session.
Instead of trading all day, the logic is restricted to the first 90 minutes after market open, where continuation moves and fast pullbacks are more reliable.
What This Strategy Does
This script looks for short-term momentum alignment using:
Fast vs slow EMA structure
RSI confirmation to avoid chasing extremes
ATR-based risk control
Session-based filtering to trade only when volume matters
It’s designed for intraday scalping, not swing trading.
Core Trading Logic
1. Market Open Filter
Trades are allowed only between 09:30 – 11:00 exchange time.
This avoids low-liquidity chop and focuses on the period where most breakouts and reversals form.
2. Trend Confirmation
Bullish bias: 9 EMA crosses above 21 EMA
Bearish bias: 9 EMA crosses below 21 EMA
This keeps trades aligned with short-term direction instead of random entries.
3. Momentum Check (RSI)
RSI is used as a quality filter, not as an overbought/oversold signal.
Long trades only when RSI is strong but not extended
Short trades only when RSI shows weakness without exhaustion
This removes late entries and reduces whipsaws.
Entries & Exits
Entries
Executed only on confirmed candles
No intrabar repainting
One position at a time
Risk Management
Stop-loss based on ATR
Take-profit calculated using a fixed risk–reward ratio
Same structure for both long and short trades
This keeps risk consistent across different symbols and volatility levels.
Why This Strategy Works Better at Market Open
Volume is highest
False breakouts are fewer
EMA crosses have follow-through
RSI behaves more cleanly
By not trading all day, the strategy avoids most of the noise that kills scalpers.
Best Use Cases
Index futures
High-liquidity stocks
Major crypto pairs during active sessions
1m to 5m timeframes
What This Strategy Is NOT
Not a martingale
Not grid-based
Not designed for ranging markets
Not a “set and forget” system
It’s a controlled scalping template meant for disciplined execution.
How to Use It Properly
Test on multiple symbols
Adjust ATR length for volatility
Tune RSI ranges per market
Always forward-test before live alerts
Final Note
This strategy focuses on structure, timing, and risk, not indicator stacking.
If you trade the open, this gives you a clear framework instead of emotional entries.
If you want:
Alerts
Session customization
News filters
Partial exits
You can extend this logic without breaking the core system.
BK AK-Flag Formations🏴☠️ BK AK-Flag Formations — Raise the standard. Drive the line. Continue the assault. 🏴☠️
Built for traders who exploit momentum with discipline: flagpoles, flags, and pennants detected, tagged, and briefed—so you press advantage instead of hesitating.
🎖️ Full Credit (Engine + Logic — Trendoscope)
Original foundation (Trendoscope Flags & Pennants):
The entire detection engine—multi-zigzag swing extraction, pivot logic, pattern validation, classification framework, and drawing architecture—is Trendoscope. He’s the architect of the core system.
I’m not claiming the engine. I’m shipping a cleaner, more tactical interface layer on top of his work.
🧩 BK Enhancements (on top of Trendoscope)
Purpose: read continuation faster with less chart noise.
Short-form pattern tags so structure stays obvious without burying price:
BF / BeF / BP / BeP / F / P / UF / DF / RF / FF / AF / DeF
Label transparency controls (text + background), plus separate transparency control for short labels
Hover tooltips (toggle): hover the tag to reveal full pattern name + bias (Bullish / Bearish / Neutral)
Upgraded alert system: filters by Bias (Bullish/Bearish/Neutral) and Type (Flag / Pennant), with clearer alert messages
Pattern border extension (optional): extends the two pattern boundary lines forward by N bars so your levels stay mapped for break/retest planning
Everything else is Trendoscope’s architecture and math.
🧠 What It Does (The Mission)
This script hunts continuation formations that form after a strong impulse move:
Detects the flagpole (impulse)
Validates a consolidation structure (flag or pennant)
Tags it cleanly with short codes
Optional hover-briefing gives the long name + bias exactly when you need it
You get continuation structure in real time, across multiple swing sensitivities.
🧭 How It Detects (So You Know It’s Not Random)
This isn’t “pattern art.” It’s rule-based geometry + swing logic:
1) Multi-Zigzag Sweep (micro → macro)
Runs up to 4 zigzag engines so it catches both tight and larger continuations.
(Default BK tuning uses 4 levels with different swing lengths/depths.)
2) Quality Filters (you control strictness)
Key scanning controls:
Error Threshold: tolerance used during trendline validation
Flat Threshold: what qualifies as “flat” vs sloped
Max Retracement (default 0.618): limits how deep the consolidation can retrace the impulse
Verify Bar Ratio (optional): checks proportion/spacing of pivots, not just price
Avoid Overlap: prevents stacking formations on top of each other
Repaint option: allows refinement if better coordinates form (for real-time users)
3) Classification (Flag vs Pennant)
Once the engine confirms an impulse + valid consolidation, it classifies:
Flag = orderly channel/wedge-style consolidation after the pole
Pennant = tighter triangle-style compression after the pole
Then it labels with bias based on direction and formation context.
🏳️ Read the Continuation (Short Codes that Actually Matter)
BF — Bull Flag: strong pole → controlled pullback; watch for break + continuation expansion
BP — Bull Pennant: thrust → tight compression; expansion confirms carry
BeF — Bear Flag: down impulse → weak rallies; breakdown favors continuation lower
BeP — Bear Pennant: pause beneath resistance; release favors trend continuation
F / P: generic flag / pennant tags when the system can’t (or shouldn’t) over-specify
Standards aren’t decoration—they’re orders.
🧑🏫 Mentor A.K.
A.K. is the discipline behind this release.
No chasing. No gambling. No emotional entries.
He drilled one rule into everything: structure first, then execution—never the reverse.
This indicator exists to make that possible under pressure.
🤝 Give Forward (The Code of the Crew)
If this tool sharpens your edge:
Teach one trader how to read continuation properly (pole → base → trigger → invalidation)
Share process, not just screenshots (entry logic, stop logic, management plan)
If you build on open work: credit loudly and contribute improvements back when you can
Tools multiply force. Character decides the outcome.
👑 Respect to King Solomon (Wisdom > Impulse)
“Plans are established by counsel; by wise guidance wage war.” — Proverbs 20:18
Continuation trading is the same: impulse → formation → execution.
BK AK-Flag Formations — when the standard rises, the line advances.
Gd bless. 🙏
