Kernel EnvelopeKernel Envelope is a non-repainting dynamic band system designed to identify price overextension, trend exhaustion, volatility expansion, and high-probability reversal points.
Using a kernel-based smoothing technique, the indicator builds adaptive upper and lower envelopes that respond fluidly to market structure while maintaining exceptional stability for systematic trading.
These envelopes form the core of the system and allow traders to:
Detect bullish rebounds from the lower band
Detect bearish rejections from the upper band
Filter trend-following entries using volatility context
Identify zones where price is statistically stretched
Highlight exhaustion points during impulsive moves
The indicator also includes an integrated pivot-based trendline engine, which draws dynamic support and resistance levels derived from structural highs and lows.
These lines auto-extend forward and include breakout alerts, making them ideal for breakout traders, liquidity hunters, and structure-based strategies.
Key Features
Fully non-repainting envelope calculation
Adaptive smoothing responsive to market volatility
Clean gold/silver visual theme for maximum clarity
Glow-style rendering for enhanced band visibility
Automatic trendline generation using pivot points
Breakout alerts for upper and lower trendlines
Rebound and rejection alerts on envelope interaction
Works on all markets and timeframes
Whether you trade reversals, breakouts, or trend continuation setups, Kernel Envelope provides a reliable, low-noise framework for identifying high-quality trade signals.
Acknowledgment
This indicator is inspired by the original Nadaraya-Watson Envelope by LuxAlgo, whose work served as the foundation for further research and development.
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Penunjuk dan strategi
Shannon Entropy (Quant Lab)🟦 Shannon Entropy = The level of "order" or "chaos" in the market.
This indicator gives you the answer to the question:
"Is the market currently orderly and understandable, or is it random and chaotic?"
No other classical indicator can accurately show this.
The value of Entropy is between 0 and 1:
⸻
🟩 1) Entropy = 0.0 – 0.3 → Structured, orderly, readable market
During these periods, the price:
• A trend forms • Ranges work clearly • Patterns (head & shoulders, flag, triangle) form smoothly • Systems like Z-score, VWAP, EMA work very cleanly • Data for modeling (algorithmic strategies, ML) is high quality
Think of this region as follows:
The market "works according to rules," it's easy to trade.
⸻
🟧 2) Entropy = 0.3 – 0.7 → Normal behavior region
In this region:
• Neither too orderly nor too chaotic
• Most systems operate at an average rate • We can say the market is healthy
It is tradable; however, the conditions are not perfect.
⸻
🟥 3) Entropy = 0.7 – 1.0 → Chaos / Noise / Manipulation region
This is the MOST DANGEROUS REGION OF THE MARKET.
What happens?
• Prices jump randomly left and right. • Wicks increase excessively. • Fake breakouts multiply. • The win rate of strategies decreases. • Trend-following systems constantly generate "false signals." • Even mean-reversion systems are caught off guard. • ML models learn junk data during these periods. • Generally, news, liquidation cascades, and manipulation periods increase entropy.
This period perfectly illustrates:
"There is no logic in this market right now — it's moving randomly."
Therefore, it's a period where you need to be very careful:
Reduce position size. • Trade less. • Avoid unnecessary risks. • Tighten stop losses. • Don't use leverage.
This is your risk alert panel.
⸻
🔥 The real superpower Entropy gives you: Trend selection and system selection
Entropy → Determines which strategy you will use.
✔ Low Entropy → Trend following or mean-reversion that works like a toy
✔ High Entropy → Even opening a trade is risky
✔ Normal Entropy → Most strategies work
Building a strategy without this information is unprofessional.
⸻
🧠 Critical summary (you can even copy and paste it as a description in TradingView):
Low entropy → market is structured, patterns & trends are reliable
High entropy → market is chaotic, noisy, unpredictable; avoid aggressive trading
Entropy tells you if your strategy has a high chance or low chance of working
⸻
🟦 Signals Entropy gives in practice:
🔹 Entropy is falling →
The market is stabilizing → A major trend or strong move is approaching.
🔹 Entropy is rising →
The market is becoming chaotic → Sudden spike, a period of trading in prayer mode, extra risk.
🔹 Low Entropy + VR > 1 + High ER → FULL TREND MARKET
A true “trend paradise” period.
🔹 Low Entropy + VR < 1 + High FDI → RANGE MARKET
A paradise of mean reversion.
🔹 High Entropy + High VoV → DANGEROUS PERIOD
Big explosions, news, and liquidations happen here.
⸻
⭐ IN SHORT:
Entropy = an indicator of how randomly the market behaves.
• 0–0.3 → regular, good, reliable market
• 0.3–0.7 → normal market
• 0.7–1.0 → chaotic, dangerous market
It tells you at a glance whether you should trade during this period or not.
ICT Breaker Blocks [Exponential-X]🔄 Breaker Blocks
Overview
Breaker Blocks automatically identifies failed order blocks that have reversed their polarity. When an order block gets broken, it often becomes a powerful support or resistance zone in the opposite direction. This indicator tracks these institutional "flips" based on ICT (Inner Circle Trader) concepts, helping identify where price is likely to find strong support or resistance after a structural break.
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🎯 What This Indicator Does
Detects Breaker Blocks:
• 🔵 Bullish Breaker Blocks (BB+) - Failed bearish order blocks that became support
• 🟣 Bearish Breaker Blocks (BB-) - Failed bullish order blocks that became resistance
• Tracks order blocks first, then monitors when they break
• Converts broken order blocks into breaker blocks automatically
• Shows when breakers get tested by price
How Breakers Form:
1. Order block forms (last opposite candle before strong move)
2. Price returns and breaks through the order block
3. Broken order block becomes a breaker block with flipped polarity
4. Old resistance becomes new support (or vice versa)
Visual Display: Smart Features:
• Auto-timeframe adjustment for optimal detection
• ATR-based strength filtering
• Active block highlighting
• Test tracking
• Distance calculator
• Duplicate prevention
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📚 Understanding Breaker Blocks
What Are Breaker Blocks?
Breaker blocks are failed order blocks that price has broken through. In ICT methodology:
• When institutions place orders creating an order block
• If that level fails and price breaks through
• The zone often becomes strong support/resistance in the opposite direction
• This represents institutional position flipping
Why Breakers Form:
• Failed Defense: Institutions couldn't defend the original level
• Position Flip: Institutions reversed their position
• Stop Hunt Complete: After sweeping stops, new levels form
• Polarity Change: Old resistance becomes new support (or vice versa)
Key Difference From Order Blocks: [/b>
• Order Block: Original institutional level (unbroken)
• Breaker Block: Failed order block that flipped polarity
• Breakers often provide STRONGER reactions than original OBs
• Represents where institutions changed their strategy
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🔵 Bullish Breaker Blocks Explained
Formation Process:
1. Step 1: Bearish order block forms (last bullish candle before drop)
2. Step 2: Price breaks ABOVE this bearish OB
3. Step 3: The broken bearish OB becomes a bullish breaker
4. Step 4: Now acts as SUPPORT when price returns
What It Means:
• Old resistance level failed
• Institutions flipped from selling to buying
• When price returns, zone acts as strong support
• Higher probability long setup than regular support
Trading Bullish Breakers:
Entry Setup:
• Wait for price to retrace back to bullish breaker
• Look for rejection/bounce from the breaker zone
• Enter long when price respects the breaker as support
• Stop loss: Below the breaker block
• Target: Recent high or opposite breaker
Why It Works:
Failed resistance becoming support is a strong technical signal indicating structural change in market sentiment.
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🟣 Bearish Breaker Blocks Explained
Formation Process:
1. Step 1: Bullish order block forms (last bearish candle before rally)
2. Step 2: Price breaks BELOW this bullish OB
3. Step 3: The broken bullish OB becomes a bearish breaker
4. Step 4: Now acts as RESISTANCE when price returns
What It Means:
• Old support level failed
• Institutions flipped from buying to selling
• When price returns, zone acts as strong resistance
• Higher probability short setup than regular resistance
Trading Bearish Breakers:
Entry Setup:
• Wait for price to retrace back to bearish breaker
• Look for rejection/reversal from the breaker zone
• Enter short when price respects the breaker as resistance
• Stop loss: Above the breaker block
• Target: Recent low or opposite breaker
Why It Works:
Failed support becoming resistance indicates structural change and often leads to continuation moves.
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📊 How To Use This Indicator
Strategy 1: Breaker Block Retest
Timeframes: 15min, 1H, 4H
Style: [/b> Swing trading, reversal entries
Rules:
1. Identify active breaker block (bright color, not gray)
2. Wait for price to return to the breaker zone
3. Look for reversal confirmation (pin bar, engulfing, rejection)
4. Enter in the direction the breaker suggests
5. Stop: Beyond opposite side of breaker
6. Target: 2-3R or previous structure
Example - Bullish Breaker:
• Bullish breaker at $48,000-$48,500
• Price drops to $48,200 (enters breaker)
• Bullish pin bar forms
• Enter long at $48,600, stop at $47,800
• Target: $50,000+
Strategy 2: Multi-Timeframe Breakers
Timeframes: Combine 1H + 4H or 15min + 1H
Style: [/b> High-probability setups
Rules:
1. Identify breaker on higher timeframe (4H or Daily)
2. Switch to lower timeframe (1H or 15min)
3. Look for lower TF breaker WITHIN higher TF breaker
4. Trade the lower TF breaker in same direction as HTF
5. Stop: Below lower TF breaker
6. Target: Edge of higher TF breaker or beyond
Why It Works: Alignment across timeframes increases probability
Strategy 3: Breaker + Order Block Confluence
Timeframes: 1H, 4H
Style: High-conviction trades
Rules:
1. Find breaker block that overlaps with fresh order block
2. This creates double institutional zone
3. Wait for price to reach confluence area
4. Enter on first touch with confirmation
5. Stop: Beyond confluence zone
6. Target: 3-5R
Why It Works: Two ICT concepts aligned = maximum probability
Strategy 4: Breaker Breakout
Timeframes: [/b> 5min, 15min, 1H
Style: Trend continuation
Rules:
1. Price approaches breaker block
2. Instead of respecting it, price breaks THROUGH
3. This indicates very strong momentum
4. Enter breakout in direction of break
5. Stop: Back inside the breaker
6. Target: 2-3R
Why It Works: When breakers fail, momentum is extremely strong
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⚙️ Settings Explained
Core Settings
Auto-Adjust for Timeframe (Default: ON)
• Automatically optimizes detection for current chart
• 1min: 3 bars lookback
• 5min: 4 bars lookback
• 15min: 5 bars lookback
• 1H: 6 bars lookback
• 4H+: 8-12 bars lookback
• Recommended: Keep ON
Manual Detection Length (Default: 5)
• Only used when Auto-Adjust is OFF
• Lookback period for finding order blocks
• Lower = more sensitive
• Higher = more selective
Display Settings
Show Bullish/Bearish Breaker Blocks
• Toggle each type independently
• Customize colors (default: cyan and fuchsia)
• Tip: Use colors that stand out from order blocks
Max Breaker Blocks to Display (Default: 10) [/b>
• Limits visible breakers
• Lower (5-8): Cleaner chart
• Higher (15-30): More context
• Recommended: 10-15
Show Breaker Block Labels [/b>
• Displays BB+ and BB- text
• Shows 🎯 on active (nearest) breaker
• Turn OFF for minimal appearance
Extend Blocks (bars) (Default: 50)
• How far to extend boxes to the right
• Recommended: 40-60 bars
Filters
Block Strength Filter (Default: Medium)
• Low: 0.5x ATR - More breakers, more noise
• Medium: 1x ATR - Balanced
• High: 1.5x ATR - Only strongest breakers
• Note: Breakers are naturally less common than OBs
• For learning: Use Low to see more examples
• For trading: Use Medium or High
Min Block Size % (Default: 0.1)
• Minimum breaker size as % of price
• Filters tiny insignificant blocks
• Adjust based on instrument volatility
Advanced
Show Tested Blocks (Default: OFF) [/b>
• When ON: Shows gray boxes for tested breakers
• When OFF: Breakers disappear after test
• Use ON: For learning and analysis
• Use OFF: For clean active trading
Highlight Active Block (Default: ON)
• Highlights nearest breaker to current price
• Active block shown with brighter color and 🎯
• Recommended: Keep ON
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📱 Info Panel Guide
Bullish BB Count Bearish BB Count
• Number of active (untested) bearish breaker blocks
• More bearish breakers = More resistance zones above
Bias Indicator [/b>
• ⬆ Bullish: More bullish breakers (support > resistance)
• ⬇ Bearish: More bearish breakers (resistance > support)
• ↔ Neutral: Equal breakers on both sides
Near Indicator
• Shows nearest active breaker and distance
• Example: "Bull BB -1.5%" = Bullish breaker 1.5% below price
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📱 Alert Setup
This indicator includes 2 alert types:
1. Price Entering Bullish Breaker [/b>
• Fires when price touches bullish breaker block
• Action: Watch for bounce/support
2. Price Entering Bearish Breaker
• Fires when price touches bearish breaker block
• Action: Watch for rejection/resistance
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Breaker Blocks"
3. Choose alert type
4. Configure notifications
5. Click "Create"
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💎 Pro Tips & Best Practices
✅ DO:
• Wait for confirmation before entering at breakers
• First touch of breaker has highest reliability
• Use breakers with trend direction for best results
• Combine with order blocks and FVGs for confluence
• Check multiple timeframes for breaker alignment
• Respect breakers - they're stronger than regular S/R
• Use proper stop placement beyond the breaker
⚠️ DON'T:
• Don't trade every breaker - quality over quantity
• Don't ignore breaker breaks - very strong momentum signal
• Don't use tight stops - allow room for wicks
• Don't expect all breakers to hold
• Don't trade against strong momentum through breakers
• Don't confuse breakers with regular order blocks
🎯 Best Timeframes:
• Scalping: 5min, 15min (quick breaker tests)
• Day Trading: 15min, 1H (balanced)
• Swing Trading: 1H, 4H, Daily (major breakers)
🔥 Best Markets:
• Excellent: BTC, ETH, Forex majors, ES, NQ
• Good: Gold, Oil, Major indices
• Note: Breakers need volatility to form
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🎓 Advanced Concepts
Breaker Strength Hierarchy
From weakest to strongest:
1. Support/Resistance lines
2. Order Blocks (unbroken)
3. Breaker Blocks (broken OBs) ← Often strongest
4. Multiple breakers stacked together
Breaker vs Order Block Priority
If breaker and order block overlap:
• Breaker takes precedence
• Failed levels are more significant
• Price respects breakers more reliably
Nested Breakers [/b>
When lower timeframe breaker exists within higher timeframe breaker:
• Trade lower TF breaker first
• Use higher TF breaker as final target
• Highest probability setups
Multiple Breaker Tests [/b>
• First test: Highest probability
• Second test: Still valid but weaker
• Third test: Likely to break through
Breaker Breakouts [/b>
When price breaks through breaker:
• Extremely strong momentum signal
• Old level completely invalidated
• Trade the breakout aggressively
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📈 Common Patterns [/b>
Pattern 1: The Perfect Flip
• Bearish OB forms
• Price breaks above it cleanly
• Becomes bullish breaker
• First retest bounces perfectly
• High-probability setup
Pattern 2: The Double Break
• Bullish OB breaks down (becomes bearish breaker)
• Price tests it and rejects
• Later breaks back up through breaker
• Very strong momentum signal
Pattern 3: The Breaker Ladder [/b>
• Multiple breakers stacked like stairs
• Price bounces from one to next
• Each breaker provides support/resistance
Pattern 4: The Failed Breaker
• Breaker forms but gets broken immediately
• Shows extreme momentum
• Don't fight it - trade the breakout
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🙏 If You Find This Helpful
• ⭐ Leave your feedback
• 💬 Share your experience in the comments
• 🔔 Follow for updates and new tools
Questions about breaker blocks? Feel free to ask in the comments.
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Version History [/b>
• v1.0 - Initial release with auto-timeframe detection and polarity flip tracking
Lead/Lag Correlation (Quant Lab)How to use it? (Briefly)
• otherSymbol: The asset you think could be the leader
• Example: If you are on a BTC chart → BINANCE:ETHUSDT, TOTAL3, USDT.D etc.
• lagBars:
• If you say 5: You are looking to see if there is a correlation between the movement of the other instrument 5 bars ago and your current movement. • In other words, is the other one leading?
• corr (green/red line):
• Close to +1 → strong positive correlation
• Close to -1 → strong negative correlation
• Close to 0 → no correlation
Lead/Lag interpretation:
• If the correlation is high for a specific lagBars (e.g., 0.7+):
➜ The otherSymbol you chose could be a strong "leader" for your current chart. In other words, its movement 5 bars ago is now explaining yours.
Bar Number IndicatorBar Number Indicator
This Pine Script indicator is designed to help intraday traders by automatically numbering candlesticks within a user-defined trading session. This is particularly useful for strategies that rely on specific bar counts (e.g., tracking the 1st, 18th, or 81st bar of the day).
Key Features:
Session-Based Counting: Automatically resets the count at the start of each new session (default 09:30 - 16:00).
Timezone Flexibility: Includes a dropdown to select your specific trading timezone (e.g., America/New_York), ensuring accurate session start times regardless of your local time or the exchange's default setting.
Smart Display Modes: Choose to show "All" numbers, or filter for "Odd" / "Even" numbers to keep your chart clean.
Custom Positioning: Easily place the numbers Above or Below the candlesticks.
Minimalist Design: Numbers are displayed as floating text without distracting background bubbles.
Dynamische Open/Close Levels mit Historie🎯 Key Features
This indicator provides clean, configurable horizontal lines showing the Open and Close prices of a higher chosen timeframe (e.g., the last 5-minute candle), serving as dynamic support and resistance levels.
Unlike traditional indicators that draw messy "steps" across your entire chart, this tool is designed for clarity and precise control.
Controlled History: Easily define how many of the last completed periods (e.g., 5-minute blocks) should remain visible on the chart. Set to 0 for only the current, active levels.
No Stepladder Effect: Uses advanced drawing methods (line.new and object management) to ensure the historical levels remain static and do not clutter your chart history.
Dynamic Labels: The labels (e.g., "Open (5)") automatically adjust to show the timeframe you configured in the indicator settings, eliminating confusion when switching timeframes.
Customizable: Full control over colors, line length, and label positioning/size.
💡 Ideal Use Case
Perfect for scalpers and day traders operating on lower timeframes (1m, 3m) who want to quickly visualize and respect crucial price action levels from a higher context (e.g., 5m, 15m, 1h).
Rolling Skewness & Kurtosis (Quant Lab)🔹 Skewness (Asymmetric Risk)
• Skew > 0 (green) → Right tail heavier:
• More frequent positive extreme movements
• Higher probability of pump/sharp rally
• Skew < 0 (red) → Left tail heavier:
• Higher risk of crash, dump, liquidation
• Skew ≈ 0 → Distribution is symmetrical, neither right nor left side is dominant
🔹 Excess Kurtosis (Intensity of Extreme Movements)
• Kurt > 0 → Fat tails:
• More extreme movements compared to a normal distribution
• Increased risk of unexpected large spikes, flash moves
• Kurt < 0 → Thin tail:
• More “calm” distribution, fewer extreme movements
This pair tells you:
“Which direction could this instrument explode in right now?
and has the intensity of extreme movements increased?”
Fractal Dimension (Katz, Quant Lab)This indicator estimates the Katz Fractal Dimension of the price series over a rolling window.
It computes:
• L = sum of absolute price changes within the window
• d = maximum distance between any point and the first point in the window
• n = window length
Then applies Katz’s formula:
FDI = ln(n) / (ln(n) + ln(d / L))
The resulting Fractal Dimension typically lies between 1.0 and 2.0:
• FDI ≈ 1.0–1.3 → Strong, directional trend (low randomness)
• FDI ≈ 1.3–1.5 → Mixed / transitional behavior
• FDI ≈ 1.5–2.0 → Noisy, choppy, mean-reverting / range market
Entry Scanner Conservative Option AKeeping it simple,
Trend,
RSI,
Stoch RSI,
MACD, checked.
Do not have entry where there is noise on selection, look for cluster of same entry signals.
If you can show enough discipline, you will be profitable.
CT
Variance Ratio & Efficiency Ratio (Quant Lab)1️⃣ Variance Ratio (VR)
Formula:
VR ≈ Var(q-step returns) / (q × Var(1-step returns))
Interpretation:
• VR ≈ 1 → The market is like a random walk; neither trend nor mean-reversion is dominant.
• VR > 1 → Trend behavior is dominant.
• Trend-following systems (EMA, Supertrend, breakout) work better.
• VR < 1 → Mean-reversion is dominant.
• Range/reversal strategies (Z-score, Bollinger fade, RSI reversal) work better.
In short:
• VR > 1 → Trending market
• VR < 1 → Mean-reverting market
This tells you:
“Should I build a trend system or a mean-reversion system for this instrument?”
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2️⃣ Efficiency Ratio (ER)
Formula logic:
ER = |Close_now – Close_n-bars-ago| / Σ|Close_i – Close_{i+1}|
In other words:
• Numerator → Net movement over N bars
• Denominator → Total noise over N bars
Interpretation:
• ER ≈ 1 → The price has moved in almost a straight line in one direction.
→ The trend is very efficient, noise is low.
• ER ≈ 0 → The price has fluctuated a lot but hasn't gone anywhere definitively.
→ A complete noise/range market.
This tells you:
“How clear is the trend in this last N bars, and how much noise is there?”
⸻
🔥 The intelligence provided by both together:
• VR > 1 and ER is high (0.6–1.0) →
➜ Strong, high-quality trend. Golden age for trend-following.
• VR > 1 but ER is low (0.2–0.4) →
➜ Trend exists but there is a lot of noise, many fake movements. • VR < 1 and ER is low →
➜ Net range / sideways market. Ideal for mean-reversion.
Rolling Z-Score (Quant Lab)What does this Z-Score measure?
• src (default = close) → the value of the series you selected
• len → the window you are measuring based on the average of the last few bars
• Z ≈ 0 → price close to the average
• Z > 2 → price 2 standard deviations above the average (extremely positive deviation)
• Z < -2 → 2 standard deviations below the average (extremely negative deviation)
In modern mean-reversion strategies:
• Z > +2 → short / take profit candidate
• Z < –2 → long / dip buy candidate
Quicksilver Institutional Trend [1H] The "God Candle" Catcher Most retail traders fail because they lack institutional tooling.
The Quicksilver Institutional Trend is designed to keep you in the trade during massive expansion moves and keep you out during the chop. It replaces "guessing" with a structured, math-based Trend Cloud.
THE LOGIC (Institutional Engine):
Visual Trend Cloud: A dynamic ribbon that identifies the dominant 1H market regime.
Momentum Filter (ADX): The bars change color based on Trend Strength.
Bright Green/Red: High Momentum (Institutional Volume). Stay in the trade.
Dark Green/Red: Low Momentum. Prepare to exit.
Liquidity Zones: Automatically draws Support & Resistance lines at recent institutional pivot points.
👨💻 NEED A CUSTOM BOT?
Stop trading manually. We can convert YOUR specific strategy into an automated algorithm.
Quicksilver Algo Systems specializes in building custom solutions for:
TradeLocker Studio (Python)
TradingView (Pine Script)
cTrader (C#)
MetaTrader 4/5 (MQL)
We don't just sell indicators; we engineer automated execution systems tailored to your exact risk parameters.
🚀 HOW TO HIRE US:
If you have a strategy you want automated, we are currently accepting new custom development projects.
Contact the Lead Developer directly:
📧 Email: quicksilveralgo@gmail.com
(Include "Custom Bot Request" in the subject line for priority review).
🔥 UNLOCK THE NEXT INDICATOR:
We are releasing our "Sniper Scalper" logic next week.
Hit the BOOST (Rocket) Button 🚀 above.
Click FOLLOW on our profile.
Comment "QAS" below if you want to be notified.
Disclaimer: Trading involves substantial risk. Educational purposes only.
LL-HL PivotThis indicator scans for the bullish structure known as a Higher Low (HL) across multiple lengths simultaneously, automatically selects the most suitable pattern, and plots it on the chart.
Below is a detailed explanation of how it works.
1. Basic Calculation Method (Definition of LL and HL)
This indicator is built on TradingView’s ta.pivotlow function.
Detecting Pivot Lows
For a given length, a Pivot Low is identified as the lowest point among the candles within the specified range to the left and right.
LL and HL Determination
LL (Lowest Low): The most recent Pivot Low is treated as the previous low.
HL (Higher Low): When a new Pivot Low forms above the previous LL, it is recognized as an HL, and the setup is considered “complete.”
Identifying the Pivot Line
During the LL–HL structure, the highest high between them is identified and used as the breakout level (Pivot Line / resistance), where a horizontal line is drawn.
2. Multi-Length Scanning
Unlike standard indicators that use only one length (e.g., Length = 5), this indicator evaluates a full range of lengths.
Min Length to Max Length
Example: Min = 2, Max = 10
Internally, it functions as if nine separate indicators (Length 2, 3, 4 … 10) are running simultaneously.
This allows the indicator to capture:
Small waves (short-term pullbacks)
Larger waves (broader structural moves)
3. Priority Mode System
Because multiple lengths are calculated at the same time, different LL–HL patterns may appear simultaneously.Priority Mode determines which setup is selected and displayed.
A. Lowest LH
Selects the pattern with the lowest pivot line (intermediate high).
Advantages:
Produces the lowest possible entry price
B. Longest Length
Selects the pattern with the longest length.
Advantages:
Focuses on larger structures and broader waves
Filters out noise
C. Shortest Length
Selects the pattern with the shortest length.
Advantages:
Reacts quickly to small moves
Useful for scalping or fast trend-following
Captures very short-term pullbacks
4. Additional Behavior and Features
Real-Time Invalidation
If price breaks below the confirmed HL, the structure is immediately considered invalid.
All previously drawn lines and labels are removed instantly, preventing outdated structures from remaining on the chart.
Pivot Line Extension
As long as the HL remains intact, the Pivot Line (breakout level) continues extending to the right.
Alerts
An alert can be triggered the moment price breaks above the Pivot Line on a closing basis.
DR/IDR, fractals, break + EMA Clouds + VWAPThis indicator is a powerful, multi-layered trading tool that combines three distinct forms of market analysis—volume, trend, and opening volatility—onto a single chart.
1. Opening Range Breakout (ORB) System
This is the foundation of the indicator, designed to capture the initial volatility and set key price boundaries for the trading day.
Time Focus: The indicator's primary analysis is centered on a specific, user-defined time period (default is 9:30 AM to 10:30 AM New York Time). Nothing related to the ORB drawing will appear on the chart before this session starts.
Wick High/Low (The Trigger): These lines track the absolute highest and lowest prices reached during the time window. They define the full extent of the initial range and are used to determine when a genuine breakout occurs.
Body High/Low (The Range & Targets): These lines track the highest and lowest open/close prices of the candles within the session. This area forms the central, shaded zone, representing the core consolidation area.
Range Shading: The background between the Body High and Body Low is shaded, but this visual feature only appears during the active forming time window (e.g., 9:30 AM to 10:30 AM) to maintain chart clarity.
Fractals: While the range is forming, the indicator detects 5-bar Williams Fractal patterns that occur inside the range. These small triangles (▲ or ▼) highlight minor reversal points established by the early trading action.
Breakout Signal: After the user-defined time window closes, the indicator waits. If a subsequent candle's price moves above the Wick High or below the Wick Low, a "BREAK" label is displayed on that candle. It is programmed to label only the first decisive break in each direction per day.
Extension Targets: When a breakout occurs, target lines are automatically projected above the Body High (for a bullish break) or below the Body Low (for a bearish break). The distance between these targets is calculated based on a user-defined fraction (e.g., 0.5 steps) of the total height of the Body Range.
Line Cutoff: For tidiness, you can set a "Stop Time" (e.g., 4:00 PM) after which the ORB lines will automatically disappear.
2. EMA Clouds (Trend and Momentum)
Four distinct Exponential Moving Average (EMA) clouds are plotted to provide a dynamic, multi-speed view of the market's trend and momentum.
Structure: Each "Cloud" is the shaded area between two EMAs (one shorter length and one longer length). The indicator includes four customizable pairs (defaulting to common settings like 8/9, 8/14, 34/50, and 14/21).
Trend Coloring: The clouds are color-coded:
Bullish (Greenish): The shorter EMA is trading above the longer EMA, signaling upward momentum.
Bearish (Reddish): The shorter EMA is trading below the longer EMA, signaling downward momentum.
Application: These clouds are used to confirm the overall market direction or identify potential zones of support and resistance.
3. Volume-Weighted Average Price (VWAP)
The VWAP is a crucial anchor for measuring the market's efficiency throughout the trading day.
Function: It calculates the average price of the asset, giving more weight to prices where higher volume was traded.
Context: It helps traders quickly determine if the current price is trading at a premium (above VWAP) or a discount (below VWAP) relative to the day's volume.
Reset: The VWAP line automatically resets at the beginning of each trading day.
Customization: The VWAP line can be toggled on or off, and its color and width are fully adjustable.
RSI Median DeviationRSI Median Deviation – Adaptive Statistical RSI for High-Probability Extremes
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder in 1978 to measure the magnitude of recent price changes and identify potential overbought or oversold conditions. It calculates the ratio of upward to downward price movements over a specified period, scaled to 0-100. However, standard RSI often relies on fixed thresholds like 70/30, which can produce unreliable signals in varying market regimes due to their lack of adaptability to the actual distribution of RSI values.
This indicator was developed because I needed a reliable tool for spotting intermediate high-probability bottoms and tops. Instead of arbitrary horizontal lines, it uses the RSI’s own historical median as a dynamic centerline and measures how far the current RSI deviates from that median over a chosen lookback period. The main signals are triggered only at 2 standard deviation (2σ) extremes — statistically rare events that occur roughly 5 % of the time under a normal distribution. I selected 2σ because it is extreme enough to be meaningful yet frequent enough for practical trading. For oversold signals I further require RSI to be below 42, a filter that significantly improved results in my mean-reversion tests (enter on oversold, exit on the first bar the condition is no longer true).
The combination of percentile median + standard deviation bands is deliberate: the median is far more robust to outliers than a simple average, while the SD bands automatically adjust to the current volatility of the RSI itself, producing adaptive envelopes that work equally well in ranging and trending markets.
Underlying Concepts and Calculations
Base RSI: RSI = 100 − (100 / (1 + RS)), RS = average gain / average loss (default length 10).
Percentile Median: 50th percentile of the last "N" RSI values (default 28 = 4 weeks)
→ dynamic, outlier-resistant centerline.
Standard Deviation Bands: rolling stdev of RSI (default length 27 = = 4 weeks (almost))
→ bands = median ± 1σ / 2σ.
Optional Dynamic MA Envelopes: user-selectable moving average (TEMA, WMA, etc., default WMA length 37) for additional momentum context.
Trend Bias Coloring
Independent of the statistical extremes, the RSI line itself is colored green when above the user-defined Long Threshold (default 60) and red when below the Short Threshold (default 47). This provides an instant bullish/bearish bias overlay similar to classic RSI usage, without interfering with the main 2σ extreme signals.
Extremes are highlighted with background color (green for oversold 2σ + RSI<42, magenta for overbought 2σ) and small diamond markers for ultra-extremes (RSI <25 or >85).
Originality and Development Rationale
The indicator was built and refined through extensive testing on dozens of assets including major cryptocurrencies:
(BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL and many more),
the Magnificent 7 stocks,, QQQ, SPX, and gold.
Default parameters were chosen to deliver consistent profitability in simple mean-reversion setups while maximizing Sortino ratio and minimizing maximum drawdown across this broad universe — ensuring the settings are robust and not overfitted to any single instrument or timeframe.
How to Use It
Ideal for swing / position trading on the 1h to daily charts (the same defaults work).
Oversold (high-probability long): RSI crosses below lower 2σ band AND RSI < 42
→ green background
→ enter long, exit the first bar the condition disappears.
Overbought (high-probability short): RSI crosses above upper 2σ band
→ magenta background
→ enter short, exit on opposite signal or at median. (Shorts were not tested, it's only an idea)
Use the green/red RSI line coloring for quick trend context and to avoid fighting strong momentum.
Always confirm with price action and manage risk appropriately.
This indicator is not a standalone trading system.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Standard Deviation Levels with Settlement Price and VolatilityStandard Deviation Levels with Settlement Price and Volatility.
This indicator plots the standard deviation levels based on the settlement price and the implied volatility. It works for all Equity Stocks and Futures.
For Futures
Symbol Volatility Symbol (Implied Volatility)
NQ VXN
ES VIX
YM VXD
RTY RVX
CL OVX
GC GVZ
BTC DVOL
The plot gives you an ideas that the price has what probability staying in the range of 1SD,2SD,3SD ( In normal distribution method)
Please provide the feedback or comments if you find any improvements
DR/IDR fractals break candle (ChadAnt)This indicator is an Opening Range Breakout (ORB) tool. It identifies the high and low price range established during a specific time window (e.g., the first hour of trading, 9:30–10:30 AM NY time). Once that time window closes, it watches for the price to "break out" of that range and projects profit targets based on the size of the initial range.
Key Features & How They Work
1. The Opening Range (The Box)
Time Window: The indicator waits for your specific start time (default 9:30 AM NY). It does not draw anything before this time.
The "Wicks": It tracks the absolute highest and lowest prices reached during this time (the Wicks). These act as your Breakout Triggers.
The "Body": It tracks the highest and lowest candle closes/opens during this time. This creates a shaded "zone" on your chart, representing the core area where most trading occurred.
Shading: To keep your chart clean, the background shading only appears during the forming time window.
2. Breakout Signals
Once the time window ends (e.g., 10:30 AM), the indicator "locks" the levels.
It then waits for a candle to move above the Wick High or below the Wick Low.
The Signal: When this happens, a label ("BREAK") appears on the chart.
Green Label: Bullish breakout (price went above the range).
Red Label: Bearish breakout (price went below the range).
Note: It only signals the first breakout of the day to avoid false alarms during choppy markets.
3. Extension Targets (Profit Levels)
When a breakout signal occurs, the indicator automatically draws target lines (extensions).
Calculation: These targets are based on the height of the "Body" zone (the shaded area).
Example: If your setting is 1.0, the indicator measures the height of the shaded body range and projects that exact distance above the breakout point. This is often used as a "Measured Move" target.
You can customize how many lines appear and how far apart they are (e.g., 0.5, 1.0, 1.5 times the range size).
4. Williams Fractals
During the opening range time, the indicator looks for specific price patterns called "Williams Fractals" (a 5-candle pattern that highlights potential turning points).
If a fractal peak or valley occurs inside your opening range, it marks it with a small triangle (▲ or ▼). Traders often use these as early signs of support or resistance forming inside the range.
5. Clean Visuals
Line Cutoff: You can set a "Stop Time" (e.g., 16:00 or 4:00 PM). The lines will stop drawing at that time so they don't clutter your chart overnight.
Gap Handling: The lines are programmed to break cleanly between days, so you don't see messy diagonal lines connecting yesterday's close to today's open.
Summary of Settings You Can Change
Session Time: When the range starts and ends.
Line Stop Time: When the lines should disappear for the day.
Visuals: Colors, line width, and style (solid, dotted, dashed).
Extensions: How many target lines to draw and the step size (e.g., 0.5x, 1.0x).
Fractals: Toggle the triangle icons on/off.
Rahul Prakash's BUY/SELL signal for momentum tradeBuy or Sell signal with just on one confirmation candle.
Show a Buy singal then wait for the confirmation candle, is a strong Buy signal.
Show a Sell singal then wait for the confirmation candle, is a strong Sell signal.
You can use as a free version and earn money. Please are taking lots of price for this type of indicator.
ATR R-LevelsATR-R Levels is built for clarity of risk management.
The script takes your account size, chosen risk %, and the market’s volatility, then turns all of that into exact stop-loss, take-profit, and position size so there’s no guessing.
It’s inspired by key principles from NNFX, especially ATR-based stop placement and fixed-risk position sizing, but redesigned for fast intraday crypto trading. You get the same consistency and discipline NNFX is known for, adapted to a much shorter timeframe.
ATR-R Levels gives you:
A volatility-based stop using ATR
A clean 2R (or custom R-multiple) target
Automatic position sizing based on your risk rules
A simple HUD showing ATR, entry, stop, TP, size, and risk
Optional net profit estimates after fees
Let me know what you think or if you use it!
In-Range Rolling SL
In-Range Rolling SL Indicator Guide
The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and trade entry opportunities based on rolling price windows.
Core Concept
The indicator analyzes the highest high and lowest low over a defined lookback period (default: 2 candles) to establish an "in-range" zone. When price stays within this range without breaking either boundary, it creates a squeeze condition—signaling potential breakout opportunities.
Trading Strategy
Wait for the Squeeze Setup
The most effective approach is to wait for the in-range stop-loss squeeze to form. This occurs when both the long SL (green line) and short SL (red line) are active simultaneously, indicated by the yellow status dot (🟡) in the indicator table. Analyze the wick high/close relationship against the in-range SL while price remains compressed—this setup identifies which side is more likely to break first.
Entry Timing and Risk Management
Long Entry: Enter when a candle closes above the in-range short SL (red line) without any wick above it. This "perfect breakout candle" confirms bullish momentum. Your entry should be around the region, with your stop-loss placed just below the top of the breakout candle's high.
Short Entry: Enter when a candle closes below the in-range long SL (green line). The stop-loss for short trades should be set 34.26 points above your entry for appropriate risk protection.
Risk-Reward Considerations
If you enter at the low of a breakout candle, expect only 8.26 points of drawdown potential. However, if you accidentally go long and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss.
Advanced Techniques
Failed Breakout Trap: If a follow-up candle doesn't make a higher high after the initial breakout, consider adding a "winner" for compensation rather than holding for a trap. When your buy-stop sits on top of the breakout candle high, this isn't a valid long trade setup.
Flip Trade Opportunity: In-range stop-loss attempts to flip often provide ideal entry points. If the up candle doesn't break the previous low, this validates the long continuation.
Long Scalp Trading: A failed long scalp can be traded if you missed the initial market open down-up-down trend. With a stop-loss of 34 points and potential profit exceeding 50 points, this provides favorable risk-reward ratios.
Sustained Loss Management: Stop-loss for long positions should target 26 points maximum loss. The indicator automatically invalidates stop-losses when price violates them, keeping your chart clean for the next setup.
-------------------------
In-Range Rolling SL Indicator Guide
The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and breakout opportunities based on rolling price windows.
How the Indicator Works
The indicator tracks the highest high and lowest low over your selected lookback period (default: 2 candles) to establish dynamic support and resistance levels. These levels create an "in-range" zone that adapts as new price action develops.
Visual Components
Green Line (Long SL): The rolling window's lowest low - your stop-loss level for long positions
Red Line (Short SL): The rolling window's highest high - your stop-loss level for short positions
Status Indicators:
🟡 Yellow: Squeeze condition (both SLs active)
🟢 Green: Long-only setup
🔴 Red: Short-only setup
⚪ White: Neutral (no active SLs)
The Squeeze Setup Strategy
Step 1: Wait for the Squeeze
The most effective way to use the In-Range Rolling SL is to wait for the in-range stop-loss squeeze to form. During the squeeze, both the green and red lines are active, meaning price has stayed within the rolling window without breaking either boundary. This compression phase indicates that it's "go time" to prepare your trade.
While in the squeeze, analyze the wick high/close relationship against the in-range SL levels. This analysis helps you determine which side is more likely to split when the breakout occurs.
Step 2: Identify the Perfect Breakout
Long Breakout: A perfect breakout candle should close above the in-range stop-loss high (red line) without any wick above it. This clean breakout demonstrates strong momentum and reduces the risk of a false breakout.
Short Breakout: Look for a candle that closes below the in-range SL low (green line), indicating a short-side trade is coming up.
Step 3: Entry Execution
Long Entry: Your entry should be around the region of the breakout. Position your stop-loss just below the top of the breakout candle's high. This placement protects you from failed breakouts while giving the trade room to develop.
Short Entry: Enter as the candle closes below the in-range SL low. The stop-loss for short-side trades is typically 34.26 points of potential loss based on the indicator's measurements.
Risk-Reward Analysis
Entry at Breakout Low
If you enter here at the low of the breakout candle, you're looking at only 8.26 points of drawdown potential. This represents your best-case entry scenario.
Accidental Wrong-Side Entry
However, if you accidentally go long here and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss. This emphasizes the importance of waiting for clear breakout confirmation.
Long Scalp Opportunity
A failed long scalp can be traded here if you missed the market open down-up-down trend. With a stop-loss of 34 points and potential profit greater than 50 points, this setup offers a favorable risk-reward ratio of approximately 1:1.5.
Advanced Trade Management
Failed Breakout Recognition
Follow-Up Candle Validation: If a follow-up candle did not make a higher high than the breakout candle, this could be a trap. Your buy-stop on top of the breakout candle high is not a valid long trade setup in this scenario. Consider adding a "winner" for compensation rather than holding through the potential reversal.
Flip Trade Opportunities
In-range stop-loss tries to flip to the other side often provide excellent entries. If the up candle did not break the previous low, this validates the long continuation and suggests the squeeze is resolving to the upside.
Sustained Position Management
Stop-Loss Guidelines: Stop-loss for long positions should be 26 points of maximum loss. The indicator table displays the delta (Δ) showing your real-time distance to the active stop-loss, helping you manage risk dynamically.
Entry Timing: Your entry should be around the region where the breakout confirms, rather than chasing price after a large move. In order to prepare your trade, position your stop-loss on top of the breakout candle's high for long trades.
Practical Example from the Chart
Looking at the MNQ1! chart, you can see multiple squeeze formations throughout the session. The most notable sequence shows:
An initial downtrend creating a squeeze setup
A perfect breakout candle closing above the red line without upper wick
The subsequent candle validating the move
Later, a failed breakout attempt that created a short opportunity
Multiple flip attempts that provided re-entry points for scalpers
The indicator's table in the top-right continuously updates with the current SL levels, gap size, candle size, and delta values - giving you all the information needed to assess each trade's risk-reward profile in real-time.
Quality Detector (Buffett Style) + Beta [Solid]This indicator acts as an on-chart fundamental screener, designed to instantly evaluate the quality and financial health of a company directly on your price chart.
The concept is inspired by "Buffettology" principles: looking for large, profitable companies with low debt. Additionally, it includes a Beta calculation to assess market volatility risk.
The tool displays a panel in the bottom-right corner featuring four key metrics and a final verdict.
How it Works & Metrics Used
The script retrieves quarterly fundamental data ("FQ") and performs calculations to verify if the asset meets specific criteria.
1. Market Cap (Size)
What it is: The total market value of the company's outstanding shares.
Goal: To identify established, large-cap companies.
Default Threshold: Must be greater than $10 Billion.
2. ROE - Return on Equity (Quality)
What it is: A measure of financial performance calculated by dividing net income by shareholders' equity.
Goal: To find companies that are efficient at generating profits from shareholders' capital.
Default Threshold: Must be higher than 15%.
3. Total Debt to Equity (Health)
What it is: A ratio indicating the relative proportion of shareholders' equity and debt used to finance a company's assets.
Calculation: This script manually calculates this ratio by fetching TOTAL_DEBT and dividing it by TOTAL_EQUITY from fundamental data to ensure robustness across different symbols.
Goal: To ensure the company is not overly leveraged.
Default Threshold: Must be lower than 1.5.
4. Beta (Risk/Volatility)
What it is: A measure of a stock's volatility in relation to the overall market (S&P 500).
Calculation: It is calculated by comparing the asset's returns against SPY (S&P 500 ETF) returns over a 252-day period (approx. 1 trading year).
Goal: To understand if the stock is more volatile (Beta > 1) or less volatile (Beta < 1) than the market.
Note: Beta does not affect the final "Quality" score but serves as an extra risk indicator, highlighting in orange if Beta > 1.
The Verdict (Scoring System)
The indicator assigns a score from 0 to 3 based on the first three fundamental metrics (Size, ROE, and Debt/Equity).
If a metric passes the threshold, it gets a green background and +1 point.
If it fails, it gets a red background.
Final Verdict:
💎 QUALITY GEM: The company passed all 3 fundamental checks (Score = 3/3).
⚠️ DISCARD: The company failed one or more fundamental checks.
Settings
You can customize the thresholds to fit your own investment strategy in the indicator settings:
Minimum Market Cap (in Billions).
Minimum ROE (%).
Maximum Debt/Equity Ratio.
Disclaimer: This tool is for informational and educational purposes only. It relies on third-party fundamental data which may sometimes be delayed or unavailable. Do not base investment decisions solely on this indicator.
ATR + True RangeOne indicator for ATR & TR its a common indictor which can be used as one
instead of 2 different its is trial mode only not to be used with out other references
Zaka Pro: Clear Structure (HH/LL) + MSS ZonesCertainly! Here is a description of the Pine Script indicator you provided, focusing on its main functions and trading strategy, written in English.
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## Zaka Pro: Clear Structure (HH/LL) + MSS Zones
This is a technical analysis indicator developed in Pine Script (`//@version=5`) designed to automatically identify and plot key price action structural elements based on the **Zig Zag** method, while incorporating a simplified **Market Structure Shift (MSS)** concept, often used in Smart Money Concepts (SMC) or Wyckoff trading.
### Key Features:
1. **Pivot-Based Structure Identification:**
* The indicator uses the standard **`ta.pivothigh`** and **`ta.pivotlow`** functions, determined by the user-defined `Pivot Length` (`prd`). This forms the foundation of the price "swing" structure.
2. **Structural Labeling (HH/LL/LH/HL):**
* It automatically labels the resulting swing points to clearly show the prevailing trend:
* **HH (Higher High):** Continuation of an uptrend.
* **LL (Lower Low):** Continuation of a downtrend.
* **LH (Lower High):** A potential reversal or weakening of an uptrend.
* **HL (Higher Low):** A potential reversal or weakening of a downtrend.
3. **Zig Zag Plotting:**
* The indicator connects the identified pivot points with a **gray line** to visually represent the market swings.
4. **Market Structure Shift (MSS) Strategy:**
* The core strategy detects a potential **trend reversal** when the price breaks the most recent structural pivot:
* **Buy MSS Trigger:** Detected when the price breaks **above the last High** (`last_high`) while the market was in a confirmed **downtrend** (forming Lower Lows).
* **Sell MSS Trigger:** Detected when the price breaks **below the last Low** (`last_low`) while the market was in a confirmed **uptrend** (forming Higher Highs).
5. **Order Block / Entry Zone Plotting:**
* Upon detection of a confirmed MSS (reversal), the indicator plots a colored **Box** representing a potential re-entry zone:
* **BUY ZONE (Green Box):** Plotted after a Buy MSS (breakout to the upside). The zone is defined by the **High and Low of the two candles preceding the last swing Low** (`ob_low_top`, `ob_low_btm`). This acts as a simplified "Order Block" for potential long entries.
* **SELL ZONE (Red Box):** Plotted after a Sell MSS (breakout to the downside). The zone is defined by the **High and Low of the two candles preceding the last swing High** (`ob_high_top`, `ob_high_btm`). This acts as a simplified "Order Block" for potential short entries.
6. **Alerts:**
* Custom alerts are included to notify the user immediately when a Buy or Sell MSS (Market Structure Shift) is detected.
In summary, the indicator is a visual tool that simplifies price action analysis by drawing structure and highlights potential reversal points (MSS) by painting corresponding re-entry zones (Order Blocks) on the chart.
