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
ค้นหาในสคริปต์สำหรับ "bear"
TedAlpha – Structure / FVG / OB Sessions:
Only looks for trades when price is inside your defined London or NY time blocks.
CHOCH:
Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish.
FVG:
Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it.
Order Blocks:
On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone.
Signal:
A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles).
Short is the mirror image.
RR 1:3:
SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
FANBLASTERFANBLASTER
Methodology & Rules (Live Trading Version)
Purpose
Catch the exact moment the market flips from chop into a high-conviction trending move using a clean, stacked Fib EMA ribbon + volatility + volume confirmation.
Core Idea
When the 5-8-13-21-34-55 EMA stack suddenly “fans out” in perfect order with significant separation, a real trend is being born. Most retail traders chase late – FANBLASTER alerts you on the very first bar the fan opens.
What Triggers a “FAN BLAST” Alert
Perfect EMA Alignment
Bullish: 5 > 8 > 13 > 21 > 34 > 55
Bearish: 5 < 8 < 13 < 21 < 34 < 55
(Has to flip from NOT aligned on the previous bar → aligned on this bar)
Significant Separation
Distance between EMA 5 and EMA 55 ≥ 1.3 × ATR(14)
(1.3 is the ES sweet spot – filters fake little wiggles)
Trend Strength Confirmation
ADX(14) ≥ 22
(Ensures the move isn’t just noise; ES trends explode while ADX is still climbing)
Volume Conviction
Current volume > 1.4 × 20-period EMA of volume
(Real moves have real participation)
When ALL FOUR conditions are true on the same bar → you get the green or red circle + phone alert.
How to Trade It (Live Rules)
Alert fires → look at the chart immediately
If price is pulling back to the 8 or 13 EMA in the direction of the fan → enter on touch or close above/below
Initial stop: opposite side of the fan (below the 55 for longs, above the 55 for shorts)
Target: 2–4 R minimum, trail with the 21 or 34 once in profit
No alert = stay flat. This is a “trend birth” sniper, not a scalping tool.
Best Instruments & Timeframes (2025)
ES & NQ futures
2 min, 5 min, 15 min (all work with the exact same settings)
Works on MES/MNQ too (same params)
Bottom Line
FANBLASTER sits silent 90 % of the day and only screams when the market is actually about to run 20–100+ points.
One alert = one high-probability trend. That’s it.
Lock it, load it, and let the phone do the hunting.
Good luck, stay disciplined, and stack those points.
— Your edge is now live.
Intermarket Swing Projection [LuxAlgo]The Intermarket Swing Projection allows traders to plot price movement swings from any user-selected asset directly onto the chart in the form of zigzags and/or horizontal support and resistance levels.
This tool rescale the external asset price on the user chart, enabling traders to make direct comparisons.
It answers the question of how different the price behavior is between two assets, accounting for each asset's volatility.
🔶 USAGE
This tool is based on swing detection of two different assets: the chart and a user-selected asset. It allows traders to compare two assets on an equal footing while accounting for volatility and price behavior.
Traders can customize the detection by selecting a custom ticker, timeframe, the number of swings and length for swing detection. This makes the tool a Swiss army knife for asset comparison.
As we can see in the image below, the Show Last, Pivot Length, and Spread parameters are key to defining the final output of the tool.
"Show Last" defines how many pivots are displayed. "Pivot Length" is used for pivot detection; a larger value will detect larger market structures. "Spread" defines how far apart the horizontal levels will be from their original location in terms of volatility.
🔹 Comparing different assets
This image shows the Nasdaq 100 futures contract compared to four other futures contracts: S&P 500, gold, bitcoin, and euro/U.S. dollar.
Plotting all of these assets in Nasdaq 100 terms makes it easy to compare and analyze price behaviors and identify key levels.
In the top left chart, we have NQ vs. ES. It's no surprise that they are practically an exact match; a large portion of the S&P 500 is technology.
In the top right chart, NQ vs. GC, we see totally different behaviors. We can clearly see the summer consolidation in gold and the resumption of the uptrend, which took gold above 29,200 NQ points, up from 21,200.
In the bottom right chart, we see bitcoin making new highs, way above the Nasdaq in May, July, and October. However, the last high was way below the Nasdaq prices on October 27—the first lower high in a while. Sellers are pushing down.
Finally, the bottom left chart is NQ vs. 6E. We can see large volatility in the uptrend since February, with NQ unable to catch up until now. The last swing low was almost a match, and 6E is in a range.
As we can see, this tool allows us to perform intermarket analysis properly by accounting for each asset's volatility and price behavior. Then, we plot them on the same scale on equal terms, which makes performing this kind of analysis easy.
As we can see in the chart above, the assets are the same as in the previous image, but the timeframe is 1H with different settings.
Note the horizontal levels acting as support and resistance, as well as how NQ prices react to the zones marked with white circles. These levels are derived from custom assets selected by the user.
🔹 Displaying Elements
Zig-zag allows traders to clearly see the path that the selected asset's price took, as well as its turning points.
Horizontal levels are displayed from those turning points to the present and can be used as support or resistance. Traders can adjust the spread parameter in the settings panel to expand or contract those levels' volatility.
There are two color modes for the levels: average and pivots. In the first mode, green is used for levels below the average and red for levels above the average. The second uses green for swing lows and red for swing highs.
The backpaint feature is enabled by default and allows the swings to be displayed in the correct location. With this feature disabled, the swings will be displayed in the current location when a new swing is detected.
🔶 DETAILS
On a more technical note, the rescaling is formed by calculating three main elements from all the swings detected on the custom and chart assets:
The chart asset's average of all swing points
The chart asset's standard deviation of all swing points
The custom asset's z-score for each swing point
Then, the re-scaled swing point is calculated as the average plus the z-score multiplied by the standard deviation. This makes it possible to plot AAPL swings on an NQ chart, for example.
Thanks to re-scaling, we can directly compare the price behavior of two assets with different price ranges and volatility on the same chart.
🔶 SETTINGS
🔹 Trendlines
Ticker: Select the custom ticker.
Timeframe: Select a custom timeframe.
Show Last: Select how many swing points to display.
Pivot Length: Select the size for swing point detection.
Spread: Volatility multiplier for horizontal levels. Larger values mean the levels are farther apart.
Backpaint: Enable or disable the backpaint feature. When enabled, the drawings will be displayed where they were detected. When disabled, the drawings will be displayed at the moment of detection.
🔹 Style
Show ZigZag: Enable or disable the ZigZag display and choose a line style.
Show Levels: Enable or disable the levels display and choose a line style.
Color Mode: Choose between Average Mode, which colors all levels below the average bullish and all levels above bearish, and Pivot Mode, which colors swing highs bearish and swing lows bullish.
Bullish: Select a bullish color.
Bearish: Select a bearish color.
ZigZag: Select the ZigZag color.
Fractal MTF MA System Overview Unlock the fractal nature of the market with a single, clean indicator. This tool allows you to visualize the exact same Moving Average length (default: 50) across 5 different timeframes simultaneously. By comparing "apples to apples" across time dimensions, you get a clear, immediate view of the overall market trend and momentum health.
No more switching charts or manually adding 5 different indicators. This script does it all with a single global setting.
Key Features
🧩 Fractal Logic: Applies one consistent calculation (e.g., 50 Period) to 15m, 30m, 1H, 2H, and 4H timeframes.
🎛️ Global Control: Change the Length or MA Type once, and it instantly updates all 5 lines. No need to adjust each line individually.
🚀 3 Calculation Modes: Switch between DEMA (Double Exponential - Default/Fast), EMA (Standard), or SMA (Smooth) to fit your trading style.
🎨 Visual Clarity: Choose between Step mode (for precise MTF levels) or Line mode (for a smoother, cleaner look).
How to Use This Indicator
1. Trend Following (The Fan) When the market is trending strongly, the lines will stack in perfect order:
Bullish: Price > 15m > 30m > 1H > 2H > 4H.
Bearish: Price < 15m < 30m < 1H < 2H < 4H.
Strategy: Ride the trend as long as the "Fan" is open and orderly.
2. Mean Reversion (The Snap-Back) When the price moves too far from the anchor line (the 4H line) and the gaps between the lines become extreme, the market is "overextended" (like a stretched rubber band).
Strategy: Watch for price to stall and cross back over the fastest line (15m) as an early sign of a correction towards the slower averages.
3. Dynamic Support & Resistance During a trend, price often pulls back to test the 1H or 2H lines before continuing. These lines act as dynamic support zones.
Settings
Global Length: Sets the lookback period for ALL lines (Default: 50).
MA Type: Select DEMA, EMA, or SMA.
Line Style: Toggle between Step (precise) or Line (smooth).
Individual Toggles: You can hide specific timeframes via the settings menu if you want a cleaner chart.
Enjoy the clean charts! Feedback and likes are appreciated. 🚀
ICT Order Block Identifier [Eˣ]📦 Order Block Identifier
Overview
The Order Block Identifier automatically detects and displays institutional order blocks on your charts - zones where banks, hedge funds, and market makers place their orders. This indicator helps identify where institutions are likely to defend their positions and where price often finds support or resistance, based on ICT (Inner Circle Trader) concepts.
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🎯 What This Indicator Does
Detects Order Blocks:
• 🟢 Bullish Order Blocks (OB+) - Last bearish candle before strong bullish move
• 🔴 Bearish Order Blocks (OB-) - Last bullish candle before strong bearish move
• Automatically identifies institutional buying/selling zones
• Tracks up to 30 order blocks simultaneously
• Works on all timeframes and instruments
Smart Features:
• Auto-Timeframe Adjustment - Optimizes detection for 1min to Weekly charts
• Active Block Highlighting - Shows which OB price is approaching
• Touch Tracking - Knows when blocks are tested
• ATR-Based Detection - Adapts to each instrument's volatility
• Strength Filtering - Choose Low/Medium/High to control sensitivity
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📚 Understanding Order Blocks
What Are Order Blocks?
Order blocks are the "footprints" left behind by institutional traders (banks, hedge funds, market makers) when they enter large positions. Because institutions can't fill massive orders at once without moving the market, they:
1. Place orders gradually over time
2. Leave zones where their buy/sell orders are concentrated
3. Defend these zones when price returns
4. Create reliable support and resistance levels
The ICT Concept:
Developed by Michael Huddleston (Inner Circle Trader), order block theory states that:
• The last opposite-colored candle before a strong move contains institutional orders
• Price often returns to test these zones before continuing
• These zones act as strong support (bullish OB) or resistance (bearish OB)
• Smart money defends their positions at these levels
Why Order Blocks Work:
• Unfilled Orders: Institutions may still have pending orders in the block
• Position Defense: They protect their entries by adding to positions
• Stop Placement: Retail stops cluster near these zones (liquidity for institutions)
• Market Structure: Price respects these levels due to order flow dynamics
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🟢 Bullish Order Blocks Explained
How They Form:
1. Price is consolidating or declining
2. Institutions begin accumulating (buying)
3. A strong bullish move erupts
4. The last bearish candle before this move = Bullish Order Block
5. This candle represents where institutions were buying aggressively
Why The Last Bearish Candle?
• Institutions absorbed all selling pressure at this level
• Their buy orders filled as price was declining
• When price returns, they defend this zone with more buying
• It becomes a demand zone / support level
Trading Bullish Order Blocks:
Setup:
• Wait for price to retrace back to bullish OB (green box)
• Look for rejection/reversal pattern (pin bar, engulfing, etc.)
• Enter long when price bounces from the OB zone
• Stop loss: Below the order block
• Target: Recent high or opposite order block
Best Scenarios:
• OB aligns with other support (trendline, fibonacci, round number)
• First touch of OB (unmitigated) has highest probability
• Occurs during high-volume sessions (London/NY)
• Trend is bullish on higher timeframe
Example Trade:
• Bullish OB forms at $50,000 (last red candle before rally)
• Price rallies to $52,000 then retraces
• Price drops back to $50,100 (touching OB)
• Bullish pin bar forms on the OB
• Enter long at $50,200, stop at $49,800
• Target: $52,000+ (previous high)
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🔴 Bearish Order Blocks Explained
How They Form:
1. Price is consolidating or rising
2. Institutions begin distributing (selling)
3. A strong bearish move erupts
4. The last bullish candle before this move = Bearish Order Block
5. This candle represents where institutions were selling aggressively
Why The Last Bullish Candle?
• Institutions absorbed all buying pressure at this level
• Their sell orders filled as price was rising
• When price returns, they defend this zone with more selling
• It becomes a supply zone / resistance level
Trading Bearish Order Blocks:
Setup:
• Wait for price to retrace back to bearish OB (red box)
• Look for rejection/reversal pattern (shooting star, bearish engulfing)
• Enter short when price rejects from the OB zone
• Stop loss: Above the order block
• Target: Recent low or opposite order block
Best Scenarios:
• OB aligns with other resistance (trendline, fibonacci, round number)
• First touch of OB (unmitigated) has highest probability
• Occurs during high-volume sessions (London/NY)
• Trend is bearish on higher timeframe
Example Trade:
• Bearish OB forms at $48,000 (last green candle before drop)
• Price drops to $46,000 then retraces
• Price rallies back to $47,900 (touching OB)
• Bearish engulfing forms at the OB
• Enter short at $47,800, stop at $48,200
• Target: $46,000- (previous low)
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📊 How To Use This Indicator
Strategy 1: Order Block Retest (Classic)
Best For: Swing trading, capturing reversals
Timeframes: 15min, 1H, 4H, Daily
Win Rate: 60-70% (first touch)
Entry Rules:
1. Identify unmitigated order block (bright color, not gray)
2. Wait for price to return to the OB zone
3. Look for price action confirmation:
• Bullish OB: Pin bar, bullish engulfing, hammer
• Bearish OB: Shooting star, bearish engulfing, doji
4. Enter in the direction of the OB
5. Stop loss: Beyond the opposite side of OB (20-30 pips)
6. Target: 2-3R or opposite OB
Example:
• Bullish OB at $100-$102
• Price drops to $101.50 (enters OB)
• Bullish pin bar forms with low at $100.80
• Enter long at $102 (OB high), stop at $99.50
• Risk: $2.50, Target: $107.50 (3R)
Strategy 2: Break & Retest
Best For: Trend trading, breakout confirmation
Timeframes: 5min, 15min, 1H
Win Rate: 65-75%
Entry Rules:
1. Price breaks through an order block
2. Wait for pullback to the broken OB
3. The OB now acts as support (if broken up) or resistance (if broken down)
4. Enter when price respects the flipped OB
5. Stop: Inside the OB zone
6. Target: Next OB or structure level
Why It Works: Broken OBs flip polarity - support becomes resistance and vice versa
Strategy 3: Multi-Timeframe Confirmation
Best For: High-probability setups
Timeframes: Combine 1H + 4H or 15min + 1H
Win Rate: 70-80%
Entry Rules:
1. Identify order block on higher timeframe (4H or Daily)
2. Switch to lower timeframe (1H or 15min)
3. Wait for lower TF order block to form within higher TF OB
4. Trade the lower TF OB in direction of higher TF OB
5. Stop: Below lower TF OB
6. Target: Edge of higher TF OB or beyond
Why It Works: Alignment across timeframes = institutional consensus
Strategy 4: Order Block to Order Block
Best For: Range trading, swing entries
Timeframes: 1H, 4H
Win Rate: 55-65%
Entry Rules:
1. Identify both bullish OB below and bearish OB above
2. Price is ranging between these OBs
3. Enter long at bullish OB, target bearish OB
4. Enter short at bearish OB, target bullish OB
5. Stop: Beyond the trading OB
6. Exit at opposite OB
Why It Works: Price moves from one institutional zone to another
Strategy 5: Mitigation Fade
Best For: Aggressive scalping
Timeframes: 5min, 15min
Win Rate: 50-60% (higher risk)
Entry Rules:
1. Price approaches an order block
2. Instead of bouncing, price breaks through (mitigates it)
3. Enter immediately in direction of breakout
4. Stop: Back inside the mitigated OB
5. Quick target: 1-1.5R
Why It Works: When OB fails, it often leads to strong continuation
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⚙️ Settings Explained
Core Settings
Auto-Adjust for Timeframe (Default: ON)
• Automatically optimizes detection for current chart timeframe
• 1min: 3 bars lookback
• 5min: 4 bars lookback
• 15min: 5 bars lookback
• 1H: 6 bars lookback
• 4H: 8 bars lookback
• Daily+: 10-12 bars lookback
• Recommended: Keep ON for best results
Manual Detection Length (Default: 5)
• Only used when Auto-Adjust is OFF
• Number of bars to look back for the "last opposite candle"
• Lower (2-4): More sensitive, more blocks, more noise
• Higher (6-10): Less sensitive, fewer blocks, higher quality
• Recommended: Use Auto-Adjust instead
Display Settings
Show Bullish/Bearish Order Blocks
• Toggle each type on/off independently
• Customize colors for each OB type
• Tip: Match colors to your chart theme
Max Order Blocks to Display (Default: 10)
• Limits how many OBs are shown at once
• Lower (5-8): Cleaner chart, only recent blocks
• Higher (15-30): More historical context
• Recommended: 8-12 for most trading
Show Order Block Labels (Default: ON)
• Displays "OB+" and "OB-" text on blocks
• Shows 🎯 on active (nearest) block
• Turn OFF for minimal chart appearance
• Recommended: Keep ON for clarity
Extend Blocks (bars) (Default: 50)
• How far to extend OB boxes to the right
• Lower (20-30): Shorter boxes, less clutter
• Higher (100+): Longer boxes, easier to see
• Blocks auto-extend until mitigated or limit reached
• Recommended: 40-60 bars
Filters
Block Strength Filter (Default: Medium)
• Controls how strong a move must be to create an OB
• Low: 0.5x ATR move required - Many blocks, more noise
• Medium: 1x ATR move required - Balanced quality/quantity
• High: 1.5x ATR move required - Only strongest institutional moves
• Recommended for beginners: High
• Recommended for experienced: Medium
• Recommended for scalpers: Low
Min Block Size % (Default: 0.1)
• Minimum size of OB as percentage of price
• Filters out tiny, insignificant blocks
• Crypto: 0.1-0.3%
• Forex: 0.05-0.15%
• Stocks: 0.1-0.5%
• Adjust based on instrument volatility
Advanced Settings
Show Mitigated Blocks (Default: OFF)
• When ON: Shows gray boxes for "used" order blocks
• When OFF: Blocks disappear after mitigation
• Use ON: For learning and analysis
• Use OFF: For clean, active trading
Highlight Active Block (Default: ON)
• Highlights the nearest order block to current price
• Active block shown with 🎯 emoji and brighter color
• Helps focus on most relevant trading opportunity
• Recommended: Keep ON
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📱 Info Panel Guide
Bullish OB Count
• Number of active (unmitigated) bullish order blocks
• Higher number = More support zones below price
• Multiple bullish OBs = Strong demand structure
Bearish OB Count
• Number of active (unmitigated) bearish order blocks
• Higher number = More resistance zones above price
• Multiple bearish OBs = Strong supply structure
Bias Indicator
• ⬆ Bullish: More bullish OBs than bearish (demand > supply)
• ⬇ Bearish: More bearish OBs than bullish (supply > demand)
• ↔ Neutral: Equal OBs on both sides
• Trade in direction of bias for higher probability
Near Indicator
• Shows which OB price is closest to
• Displays distance as percentage
• Example: "Bull OB 0.85%" = Bullish OB is 0.85% below current price
• Watch for "Near" alerts to time entries
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📱 Alert Setup
This indicator includes 4 alert types:
1. Price Entering Bullish OB
• Fires when price touches a bullish order block
• Action: Watch for bounce/reversal pattern
• High-probability long setup developing
2. Price Entering Bearish OB
• Fires when price touches a bearish order block
• Action: Watch for rejection/reversal pattern
• High-probability short setup developing
3. New Bullish OB Detected
• Fires when a new bullish order block forms
• Action: Mark the zone for future retest
• New demand zone identified
4. New Bearish OB Detected
• Fires when a new bearish order block forms
• Action: Mark the zone for future retest
• New supply zone identified
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Order Block Identifier"
3. Choose your alert condition
4. Configure notification method
5. Click "Create"
Pro Tip: Set "Price Entering" alerts to catch trading opportunities in real-time
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💎 Pro Tips & Best Practices
✅ DO:
• First touch is best - Unmitigated OBs have highest win rate (60-70%)
• Wait for confirmation - Don't buy/sell just because price touched OB
• Use multiple timeframes - Higher TF OBs are stronger than lower TF
• Combine with structure - OB + trendline/support = high probability
• Trade with the bias - More bullish OBs = favor longs
• Respect mitigation - Once OB is mitigated, it's less reliable
• Use proper stop loss - Always place stops beyond the OB zone
• Consider session timing - OBs work best during London/NY sessions
⚠️ DON'T:
• Don't blindly buy/sell at OBs - Wait for confirmation
• Don't ignore mitigation - Gray blocks are much weaker
• Don't trade every OB - Quality over quantity
• Don't fight strong trends - OBs can be run through in strong momentum
• Don't use alone - Combine with price action, support/resistance
• Don't expect 100% win rate - Even best OBs fail sometimes (30-40% of time)
• Don't overtrade - Wait for A+ setups with confluence
🎯 Best Timeframes By Trading Style:
• Scalpers: 1min, 5min (quick OB touches)
• Day Traders: 5min, 15min, 1H (balanced view)
• Swing Traders: 1H, 4H, Daily (major institutional zones)
• Position Traders: 4H, Daily, Weekly (strongest OBs)
🔥 Best Instruments:
• Excellent: Forex major pairs (EUR/USD, GBP/USD), BTC, ETH, ES, NQ
• Good: Gold, Oil, Major indices, Large-cap stocks
• Moderate: Altcoins, small-cap stocks (more noise)
• Avoid: Very low liquidity instruments (OBs less reliable)
⏰ Best Times To Trade OBs:
• London Session (03:00-12:00 EST): Highest OB respect rate
• NY Session (08:00-17:00 EST): Strong OB reactions
• London-NY Overlap (08:00-12:00 EST): Best probability
• Asian Session: Lower probability, wait for London
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🎓 Advanced Order Block Concepts
Order Block Flips (Polarity Change)
When price breaks through an OB and closes beyond it:
• Bullish OB that's broken becomes bearish (support becomes resistance)
• Bearish OB that's broken becomes bullish (resistance becomes support)
• Trading: Watch for retest of broken OB from opposite side
Order Block Refinement
When multiple OBs form at similar level:
• Later OB "refines" or "replaces" the earlier one
• Use the most recent OB as the active zone
• Older OBs become less relevant
Order Block Clusters
Multiple OBs stacked close together:
• Creates a "super zone" of institutional interest
• Higher probability of reversal
• Wider zone for entries (more room for confirmation)
Fair Value Gaps + Order Blocks
When OB aligns with Fair Value Gap:
• Extremely high probability setup
• Price is drawn to fill the gap AND test the OB
• Double confluence = institutional magnet
Order Block Mitigation Types
• Full Mitigation: Price fully enters and closes inside OB
• Partial Mitigation: Price wicks into OB but closes outside
• False Mitigation: Quick touch then immediate rejection
• Partial/false mitigation = OB still somewhat valid
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📈 Common Order Block Patterns
Pattern 1: The Perfect Retest
• OB forms during strong move
• Price continues 100-200+ pips
• Price retraces back to OB
• Clean bounce with confirmation candle
• Highest probability pattern
Pattern 2: The Double Tap
• Price tests OB, bounces weakly
• Price tests same OB again
• Second test produces stronger reaction
• Second touch often better entry
Pattern 3: The Fake-Out
• Price breaks through OB
• Immediately reverses back
• "Stop hunt" or liquidity grab
• Enter after price reclaims OB
Pattern 4: The Ladder
• Multiple OBs stacked like stairs
• Price steps from one OB to next
• Each OB provides support/resistance
• Trade OB-to-OB movements
Pattern 5: The Failed OB
• Price crashes through OB without pause
• OB completely invalidated
• Often signals strong momentum
• Don't fight it, trade the breakout
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🚀 What Makes This Different?
Unlike basic support/resistance indicators, Order Block Identifier:
• ICT Methodology - Based on proven institutional concepts
• Auto-Timeframe Optimization - Works perfectly on all timeframes
• ATR-Based Detection - Adapts to each instrument's volatility
• Mitigation Tracking - Knows when blocks are no longer valid
• Active Block Highlighting - Shows most relevant opportunity
• Smart Filtering - Only shows high-quality institutional zones
• Visual Clarity - Clean, professional appearance
• Real-Time Updates - Blocks update as price action develops
Based On Professional Concepts:
• ICT Smart Money Concepts (SMC)
• Institutional order flow analysis
• Market maker behavior patterns
• Supply and demand zone theory
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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 Order Blocks? Feel free to ask in the comments.
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Version History
• v1.0 - Initial release with auto-timeframe detection and ATR-based strength filtering
LiquidityPulse Higher Timeframe Consecutive Candle Run LevelsLiquidityPulse Higher Timeframe Consecutive Candle Run Levels
Research suggests that financial markets can alternate between trend-persistence and mean-reversion regimes, particularly at short (intraday) or very long timeframes. Extended directional moves, whether prolonged intraday rallies or sell-offs, also carry a statistically higher chance of retracing or reversing (Safari & Schmidhuber, 2025). In addition, studies examining support and resistance behaviour show that swing highs or lows formed after strong directional moves may act as structurally and psychologically important price levels, where subsequent price interactions have an increased likelihood of stalling or bouncing rather than passing through directly (Chung & Bellotti, 2021). By highlighting higher-timeframe candle runs and marking their extremal levels, this indicator aims to display areas where directional momentum previously stopped, providing contextual "watch levels" that traders may incorporate into their broader analysis.
How this information is used in the indicator:
When a sequence of consecutive higher-timeframe candles prints in the same direction, the indicator highlights the lower-timeframe chart with a green or red background, depending on whether the higher-timeframe run was bullish or bearish. The highest high (for a bull run) or lowest low (for a bear run) of that sequence forms a recent extremum, and this value is plotted as a swing-high or swing-low level. These levels appear only after the required number of consecutive higher-timeframe candles (set by the user) have closed, and they continue updating as long as the higher-timeframe streak remains intact. A level "freezes" and stops updating only when an opposite-colour higher-timeframe candle closes (e.g., a red candle ending a bull run, or a green candle ending a bear run). Once frozen, the level remains fixed to preserve that structural information for future analysis or retests. The number of past bull/bear levels displayed on the chart is also adjustable in the settings.
Why capture a level after a long directional run:
When price moves in one direction for several consecutive candles (e.g. 4, 5, or more), it reflects strong directional bias, often associated with momentum, liquidity imbalance, or liquidity grabs. Once that sequence breaks, the final level reached marks a point of exhaustion or structural resistance/support, where that bias failed to continue. These inflection points are often used by traders and trading algorithms to assess potential reversals, retests, or breakout setups. By freezing these levels once the run ends, the indicator creates a map of historically significant price zones, allowing traders to observe how price behaves around them over time.
Additional information displayed by the indicator:
Each detected run includes a label showing the run length (the number of consecutive higher-timeframe candles in the streak) along with the source timeframe used for detection. The indicator also displays an overstretch marker: this numerical value appears when the total size of the candle bodies within the run exceeds a user-defined multiple of the average higher-timeframe body size (default: 1.5x). This helps highlight runs that were unusually strong or extended relative to typical volatility. You can also enable alerts that trigger when this overstretch ratio exceeds a higher threshold.
Key Settings
Timeframe: Choose which HTF to analyse (e.g., 15m, 1h, 4h)
Minimum Candle Run Length: Define how many consecutive candles are needed to trigger a level (e.g., 4)
Overstretch Settings: Customize detection threshold and alert trigger (in multiples of average body size)
Background Tints: Enable/disable visual highlights for bull and bear runs
Display Capacity: Choose how many past bull/bear levels to show
How Traders Can Use This Indicator
Traders can:
-Watch levels for retests, reversals, breakouts, or consolidation
-Identify areas where price showed strong directional conviction
-Spot extended or aggressive moves based on overstretch detection
-Monitor how price reacts when retesting prior run levels
-Build confluence with your existing levels, zones, or indicators
Disclaimer
This tool does not reflect true order flow, liquidity, or institutional positioning. It is a visual aid that highlights specific candle behaviour patterns and does not produce predictive signals. All analysis is subject to interpretation, and past price behaviour does not imply future outcomes.
References:
Trends and Reversion in Financial Markets on Time Scales from Minutes to Decades (Sara A. Safari & Christof Schmidhuber, 2025)
Evidence and Behaviour of Support and Resistance Levels in Financial Time Series (Chung & Bellotti, 2021)
FVG Maxing - Fair Value Gaps, Equilibrium, and Candle Patterns
What this script does
This open-source indicator highlights 3-candle fair value gaps (FVGs) on the active chart timeframe, draws their midpoint ("equilibrium") line, tracks when each gap is mitigated, and optionally marks simple candle patterns (engulfing and doji) for confluence. It is intended as an educational tool to study how price interacts with imbalances.
3-candle bullish and bearish FVG zones drawn as forward-extending boxes.
Equilibrium line at 50% of each gap.
Different styling for mitigated vs unmitigated gaps.
Compact statistics panel showing how many gaps are currently active and filled.
Optional overlays for bullish/bearish engulfing patterns and doji candles.
1. FVG logic (3-candle gaps)
The script focuses on a strict 3-candle definition of a fair value gap:
Three consecutive candles with the same body direction.
The wick of candle 3 is separated from the wick of candle 1 (no overlap).
A bullish gap is created when price moves up fast enough to leave a gap between candle 1 and 3. A bearish gap is the mirror case to the downside.
In Pine, the core detection looks like this:
// Three candles with the same body direction
bull_seq = close > open and close > open and close > open
bear_seq = close < open and close < open and close < open
// Wick gap between candle 1 and candle 3
bull_gap = bull_seq and low > high
bear_gap = bear_seq and high < low
// Final FVG flags
is_bull_fvg = bull_gap
is_bear_fvg = bear_gap
For each detected FVG:
Bullish FVG range: from high up to low (gap below current price).
Bearish FVG range: from low down to high (gap above current price).
Each zone is stored in a custom FVGData structure so it can be updated when price later trades back inside it.
2. Equilibrium line (0.5 of the gap)
Every FVG box gets an optional equilibrium line plotted at the midpoint between its top and bottom:
eq_level = (top + bottom) / 2.0
right_index = extend_boxes ? bar_index + extend_length_bars : bar_index
bx = box.new(bar_index - 2, top, right_index, bottom)
eq_ln = line.new(bar_index - 2, eq_level, right_index, eq_level)
line.set_style(eq_ln, line.style_dashed)
line.set_color(eq_ln, eq_color)
You can use this line as a neutral “fair value” reference inside the zone, or as a simple way to think in terms of premium/discount within each gap.
3. Mitigation rules and styling
Each FVG stays active until price trades back into the gap:
Bullish FVG is considered mitigated when the low touches or moves below the top of the gap.
Bearish FVG is considered mitigated when the high touches or moves above the bottom of the gap.
When that happens, the script:
Marks the internal FVGData entry as mitigated.
Softens the box fill and border colors.
Optionally updates the label text from "BULL EQ / BEAR EQ" to "BULL FILLED / BEAR FILLED".
Can hide mitigated zones almost completely if you only want to see unfilled imbalances.
This allows you to distinguish between current areas of interest and zones that have already been traded through.
4. Candle pattern overlays (engulfing and doji)
For additional confluence, the script can mark simple candle patterns on top of the FVG view:
Bullish engulfing — current candle body fully wraps the previous bearish body and is larger in size.
Bearish engulfing — current candle body fully wraps the previous bullish body and is larger in size.
Doji — candles where the real body is small relative to the full range (high–low).
The detection is based on basic body and range geometry:
curr_body = math.abs(close - open)
prev_body = math.abs(close - open )
curr_range = high - low
body_ratio = curr_range > 0 ? curr_body / curr_range : 1.0
bull_engulfing = close > open and close < open and open <= close and close >= open and curr_body > prev_body
bear_engulfing = close < open and close > open and open >= close and close <= open and curr_body > prev_body
is_doji = curr_range > 0 and body_ratio <= doji_body_ratio
On the chart, they appear as:
Small triangle markers below bullish engulfing candles.
Small triangle markers above bearish engulfing candles.
Small circles above doji candles.
All three overlays are optional and can be turned on or off and recolored in the CANDLE PATTERNS group of inputs.
5. Inputs overview
The script organizes settings into clear groups:
DISPLAY SETTINGS : Show bullish/bearish FVGs, show/hide mitigated zones, box extension length, box border width, and maximum number of boxes.
EQUILIBRIUM : Toggle equilibrium lines, color, and line width.
LABELS : Enable labels, choose whether to label unmitigated and/or mitigated zones, and select label size.
BULLISH COLORS / BEARISH COLORS : Separate fill and border colors for bullish and bearish gaps.
MITIGATED STYLE : Opacity used when a gap is marked as mitigated.
STATISTICS : Toggle the on-chart FVG statistics panel.
CANDLE PATTERNS : Show engulfing patterns, show dojis, colors, and the body-to-range threshold that defines a doji.
6. Statistics panel
An optional table in the corner of the chart summarizes the current state of all tracked gaps:
Total number of FVGs still being tracked.
Number of bullish vs bearish FVGs.
Number of unfilled vs mitigated FVGs.
Simple fill rate: percentage of tracked FVGs that have been marked as mitigated.
This can help you study how a particular market tends to treat gaps over time.
7. How you might use it (examples)
These are usage ideas only, not recommendations:
Study how often your symbol mitigates gaps and where inside the zone price tends to react.
Use higher-timeframe context and then refine entries near the equilibrium line on your trading timeframe.
Combine FVG zones with basic candle patterns (engulfing/doji) as an extra visual anchor, if that fits your process.
Hope you enjoy, give your feedback in the comments!
- officialjackofalltrades
Ultimate Trend System — FINAL MASTER EDITIONUltimate Trend System — FINAL MASTER EDITION
A complete, multi‑layered trend‑detection engine designed for precision execution and clarity.
This final edition fuses trend, momentum, volatility, and filtering into one symmetrical logic system — enabling traders to instantly visualize directional strength and avoid false signals during choppy markets.
🔹 System Overview
The Ultimate Trend System consolidates several classic trading frameworks into a unified model.
It dynamically generates BUY, SELL, and STOP tags directly on the chart — each derived from clean, interlinked conditions that measure both momentum and structure.
In addition, a built‑in information panel summarizes live indicator states for quick decision‑making without checking multiple indicators.
⚙️ Core Logic Components
SMA (20‑period): Identifies trend slope; rising → bullish bias, falling → bearish bias.
VWAP: Defines fair‑value position — Above, Below, or Inside volume‑weighted average price.
QQE‑Lite (RSI): Tracks internal momentum shifts by comparing RSI to its EMA smoothing.
ATR Strength: Classifies current volatility regime as Turbo, Strong, or Weak.
SuperTrend: Confirms structural trend direction using an ATR‑based trailing model.
Choppiness Filter: Suppresses signals when short‑term volatility contracts or range noise dominates.
Fakeout Detection: Prevents false triggers after deceptive breakouts or reversals.
🧩 Execution Logic
BUY Signal: All major trend engines align bullishly, with clean structure and momentum.
SELL Signal: All major engines align bearishly, with clean structure and momentum.
STOP Phase: Appears once per cycle to mark neutral or transition zones; automatically locks further stops until a new entry signal is confirmed.
🟩🟥 Visual Elements
Green Labels: Confirmed bullish entry (BUY).
Red Labels: Confirmed bearish entry (SELL).
Yellow Labels: STOP state (trend exhaustion or consolidation).
Panel: Displays live readings for VWAP, SMA, QQE, ATR regime, and SuperTrend direction.
🧠 Design Philosophy
Built for simplicity, speed, and precision — the Final Master Edition strips away noise without losing analytical depth.
It can serve as a standalone trend system or foundation layer for more advanced frameworks like auto‑execution or multi‑engine HUDs.
One Point Global Net Liquidity The "Fuel" Behind the MarketMost traders look at price action, but price is often just a reflection of the money supply available in the system. This indicator tracks Global Net Liquidity—the actual amount of fiat currency available to flow into risk assets like Crypto and Equities.
Unlike standard "Money Supply" (M2) charts, this indicator focuses on Central Bank Balance Sheets, which is a more direct proxy for "Quantitative Easing" (QE) and "Quantitative Tightening" (QT).
How It Works (The Formula)
This script aggregates the balance sheets of the "Big 4" Central Banks, which represent ~90% of global liquidity. It automatically converts all values to USD Trillions for a standardized view.
{Global Liquidity} = {US Net Liquidity} + {ECB} + {PBoC} + {BoJ}
1. US Net Liquidity (The "Trader's" Formula) We do not just use the Fed's Total Assets. We subtract the money that is "stuck" outside the private economy:
(+) Fed Balance Sheet: Total Assets.
(-) TGA (Treasury General Account): The government's checking account. When this goes up, liquidity is drained from markets.
(-) RRP (Reverse Repo): Money parked by banks at the Fed overnight. When this goes up, liquidity is removed from the system.
2. Global Additions
ECB (Eurozone): Converted to USD.
PBoC (China): Converted to USD.
BoJ (Japan): Converted to USD.
How to Use This Indicator This indicator is designed as an Overlay on the main chart (using the Left Scale).
Correlation: Generally, when the Orange Line (Liquidity) trends up, Bitcoin and the S&P 500 trend up. When Central Banks tighten (line down), risk assets struggle.
The "Divergence" Signal (Alpha):
Bullish: If Price makes a Lower Low but Liquidity makes a Higher Low, it often signals seller exhaustion and a potential bottom.
Bearish: If Price makes a New High but Liquidity fails to follow (or drops), the rally may be unsupported and prone to a reversal.
Settings
Scale: This indicator is pinned to the Scale Left to allow it to overlay price action without distortion.
Data: Uses daily data from ECONOMICS and FRED feeds.
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy:
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## Options Scalper v2 - SPY/QQQ
### Overview
A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries.
---
### Core Logic
The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when:
1. A recent EMA crossover occurred (within the last 3 bars)
2. The direction's score meets the minimum threshold (default: 4 points)
3. The signal's score is higher than the opposite direction
4. Enough bars have passed since the last signal (cooldown period)
5. Price action occurs during valid trading sessions
---
### Indicators Used
| Indicator | Purpose | CALL Condition | PUT Condition |
|-----------|---------|----------------|---------------|
| **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow |
| **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA |
| **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 |
| **VWAP** | Institutional level | Price above VWAP | Price below VWAP |
| **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line |
| **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D |
| **Volume** | Participation confirmation | Spike on green candle | Spike on red candle |
| **Price Structure** | Breakout detection | Higher high formed | Lower low formed |
---
### Scoring Breakdown
**CALL Score (Max 9 points):**
- Recent EMA cross up: +2 pts
- EMA alignment (fast > slow): +1 pt
- RSI in bullish range: +1 pt
- Above VWAP: +1 pt
- MACD bullish: +1 pt
- Volume spike on green candle: +1 pt
- Stochastic setup: +1 pt
- Above 200 EMA: +1 pt
- Breaking higher high: +1 pt
**PUT Score (Max 9 points):**
- Recent EMA cross down: +2 pts
- EMA alignment (fast < slow): +1 pt
- RSI in bearish range: +1 pt
- Below VWAP: +1 pt
- MACD bearish: +1 pt
- Volume spike on red candle: +1 pt
- Stochastic setup: +1 pt
- Below 200 EMA: +1 pt
- Breaking lower low: +1 pt
---
### Risk Management
The strategy uses **ATR-based dynamic stops and targets**:
| Parameter | Default | Description |
|-----------|---------|-------------|
| Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts |
| Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio |
Positions are also closed on:
- Opposite direction signal (flip trade)
- Take profit or stop loss hit
---
### Session Filtering
Trades are restricted to high-liquidity periods by default:
- **Morning Session:** 9:30 AM - 11:00 AM EST
- **Afternoon Session:** 2:30 PM - 3:55 PM EST
This avoids choppy midday price action and captures the highest volume periods.
---
### Input Parameters
| Parameter | Default | Description |
|-----------|---------|-------------|
| Fast EMA | 9 | Fast moving average period |
| Slow EMA | 21 | Slow moving average period |
| Trend EMA | 200 | Long-term trend filter |
| RSI Length | 14 | RSI calculation period |
| RSI Overbought | 65 | Upper RSI threshold |
| RSI Oversold | 35 | Lower RSI threshold |
| Volume Multiplier | 1.2x | Volume spike detection threshold |
| Min Signal Strength | 4 | Minimum score required to trigger |
| Crossover Lookback | 3 | Bars to consider crossover "recent" |
| Min Bars Between Signals | 5 | Cooldown period between signals |
---
### Visual Elements
**Chart Plots:**
- Green line: 9 EMA (fast)
- Red line: 21 EMA (slow)
- Gray line: 200 EMA (trend)
- Purple dots: VWAP
**Signal Markers:**
- Green triangle up + "CALL" label: Buy call signal
- Red triangle down + "PUT" label: Buy put signal
- Small circles: EMA crossover reference points
**Info Table (Top Right):**
- Real-time CALL and PUT scores
- RSI, MACD, Stochastic values
- VWAP and 200 EMA position
- Recent crossover status
- Current signal state
---
### Alerts
| Alert Name | Trigger |
|------------|---------|
| CALL Entry | Standard call signal fires |
| PUT Entry | Standard put signal fires |
| Strong CALL | Call signal with score ≥ 6 |
| Strong PUT | Put signal with score ≥ 6 |
---
### Recommended Usage
| Setting | 0DTE Scalping | Intraday Swings |
|---------|---------------|-----------------|
| Timeframe | 1-2 min | 5 min |
| Min Signal Strength | 5-6 | 4 |
| ATR Stop Mult | 1.0 | 1.5 |
| ATR TP Mult | 1.5 | 2.0 |
| Option Delta | 0.40-0.50 | 0.30-0.40 |
---
### Key Improvements Over v1
1. **Requires actual crossover** - Eliminates false signals from simple trend continuation
2. **Balanced scoring** - Both directions evaluated equally, highest score wins
3. **Signal cooldown** - Prevents overtrading with minimum bar spacing
4. **Multi-indicator confluence** - 8 factors must align for signal generation
5. **Volume-candle alignment** - Volume spikes only count when matching candle direction
---
### Disclaimer
This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5σ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
FCPO MASTER v6 – Sideway + Breakout + OB + FVG (TUPLE SAFE)TL;DR cepat
1. Gunakan M5 untuk entry & OB/FVG confirmation.
2. Gunakan M15 untuk confirm trend/false breakout.
3. Gunakan H1 untuk bias arah (overall market).
4. Entry hanya bila signal + OB/FVG/candle rejection (script buatkan).
5. SL 5–8 tick, TP 10–25 tick ikut setup (sideway vs breakout).
6. Follow checklist setiap trade — jangan lompat.
________________________________________
Setup awal (1–2 min)
1. Pasang script FCPO Sideway MASTER – OB + Imbalance + Confirmation di TradingView.
2. Timeframes: buka M5, M15, H1 (susun 3 chart atau 1 chart multi-timeframe).
3. Input default: ATR14, Breakout Buffer 5 tick, RangeLen 20, ADX14, TP12, SL8. (Kau boleh tweak nanti).
4. Aktifkan alerts pada BUY Confirm / SELL Confirm / Sideway Buy / Sideway Sell.
________________________________________
Step-by-step trading process
1) Mulakan dengan H1 — tentukan bias HTF
• Lihat H1 untuk jawapan: Trend Up / Down / Sideway.
• Rule ringkas:
o ADX H1 > 20 + price above H1 EMA → bias Bull
o ADX H1 > 20 + price below H1 EMA → bias Bear
o ADX H1 < 20 → market HTF sideway (no strong bias)
Kenapa: H1 bagi kau idea “kalau breakout pada M5, patut follow atau tolak”.
________________________________________
2) Pergi ke M15 — confirm trend & valid breakout
• M15 kena setuju dengan idea breakout.
o Untuk strong breakout: M15 kena tunjuk candle close di atas/bawah range + volume naik.
o Kalau M5 breakout tapi M15 tak setuju (M15 masih sideway) → treat as fakeout. Jangan masuk.
________________________________________
3) M5 — cari entry & confirmation (OB/FVG + candle)
• M5 adalah tempat kau buat keputusan masuk.
• Tunggu script keluarkan Sideway Buy/Sell atau Breakout Buy/Sell.
• CONFIRM entry mesti ada sekurang-kurangnya 1 dari:
o Bull/Bear Order Block searah signal (script detect).
o FVG / Imbalance zone dipenuhi & price retest.
o Candle rejection (pinbar / bearish/bullish engulfing) pada zone.
Jika tiada confirmation → no trade.
________________________________________
4) Checklist sebelum tekan Buy/Sell (MUST)
• H1 bias tidak melawan trade (prefer sama arah).
• M15 confirm breakout / trend or neutral.
• Script keluarkan signal (sideway or breakout).
• OB or FVG atau candle rejection ada.
• ATR kenaikan jika breakout (untuk breakout trade).
• Volume spike jika breakout.
• Risk:SL <= 2% akaun (position sizing).
Kalau semua ticked → boleh entry.
________________________________________
5) Setting SL / TP & position sizing
• Sideway (scalp): SL = 5–8 tick, TP = 8–12 tick.
• Breakout (trend): SL = 8–12 tick, TP = 15–25+ tick (trail later).
• Position sizing: Risk per trade 1–2%.
o Lot size = (Account Risk RM × 1 tick value) / (SL ticks × tickValue) — (kalau kau gunakan fixed tick value, adjust ikut lot).
(Script tunjuk SL & TP label — follow itu.)
________________________________________
6) Entry types
• A. Sideway Reversal (M5)
o Signal: Sideway Buy / Sideway Sell
o Confirm: OB/FVG or rejection candle at range bottom/top
o Trade: scalp target 8–12 tick, tight SL 5–8 tick
• B. Breakout (M5 entry, M15 confirm)
o Signal: Breakout Buy/Sell (Strong)
o Confirm: ATR expanding + volume spike + M15 alignment
o Trade: trend follow, TP 15–25 tick, trailing stop active
• C. Retest Entry
o Breakout happens, price returns to retest range / OB / FVG → wait for rejection candle then enter. Safer.
________________________________________
7) Trailing & exit rules
• Jika useTrail = true script plots trailing stop (ATR × multiplier).
• Exit rules:
1. Hit TP → close.
2. Hit SL → close.
3. If trailing stop hit → close.
4. If opposing confirmed signal muncul (e.g., SELL confirm while long) → consider close early.
5. If H1 bias flips strongly vs trade → tighten stop or close.
________________________________________
8) Multiple signals & scaling
• Never add to losing position (no averaging down).
• If want scale-in on confirmed trend: add 1 partial size after price moves +10–12 tick in favor and shows continuation candle + no bearish OB/FVG.
• Keep aggregated risk within your max (2–3%).
________________________________________
9) Example trade walkthrough (concrete)
• RangeHigh = 4065, RangeLow = 4035 (contoh).
• Market sideway M5.
Case A — Sideway Sell:
1. Price touches 4064–4065, script shows sidewaySell.
2. Lihat OB: ada bear OB zone di 4062–4066 → confirm.
3. Candle rejection (bearish pinbar) muncul → enter SELL M5.
4. Set SL = 5 tick above rangeHigh = 4070, TP = 10 tick → 4055.
5. Trail jika price turun > 8 tick: aktifkan trailing.
6. Close at TP or trail/SL.
Case B — Breakout Buy:
1. Price closes above 4065 + 5 tick buffer = 4070 on M5. Script shows trueBreakUp.
2. M15 shows candle close above M15 resistance + volume spike → confirm.
3. Enter BUY, SL = 8 tick below entry, TP initial 20 tick, trail with ATR×1.5.
4. Move stop to breakeven after +10 tick, scale out half at +12 tick, leave rest to trail.
________________________________________
10) Journal & review
• Semua trade: record entry time, TF, reason (which confirmations), SL/TP, result, lesson.
• Weekly review: check which confirmation worked best (OB vs FVG vs candle) and tweak settings.
________________________________________
11) Tweaks / optimisations cepat
• Jika terlalu banyak false sideway signals → kurangkan touchDist ke 2 tick.
• Kalau fakeout breakout banyak → tambah tickBuf ke 6–8.
• Nak lebih konservatif → cuma trade breakout yang juga setuju M15.
________________________________________
12) Alerts & execution (practical)
• Pasang alert pada BUY Confirm / SELL Confirm (script).
• Kalau kau guna broker yang support one-click order, siap sediakan template order (SL/TP default).
• Kalau manual, bila alert masuk: buka M5, cepat confirm OB/FVG & candle rejection → entry.
________________________________________
Quick reference table (handy)
• TF utama entry: M5
• Confirm mid-TF: M15
• Bias HTF: H1
• Sideway SL/TP: SL 5–8, TP 8–12
• Breakout SL/TP: SL 8–12, TP 15–25+
• Mandatory confirmation: (Script signal) + (OB or FVG or candle)
Structure Analysis + Hammer Alert# Structure Resistance + Hammer Alert
## 📊 Indicator Overview
This indicator integrates Structure Breakout Analysis with Candlestick Pattern Recognition, helping traders identify market trend reversal points and strong momentum signals. Through visual markers and background colors, you can quickly grasp the bullish/bearish market structure.
---
## 🎯 Core Features
### 1️⃣ Structure Resistance System
- Auto-plot Previous High/Low: Automatically marks key support/resistance based on pivot points
- Structure Breakout Detection: Shows "BULL" when price breaks above previous high, "BEAR" when breaking below previous low
- Trend Background Color: Green background for bullish structure, red background for bearish structure
### 2️⃣ Bullish Momentum Candles (Hammer Patterns)
Detects candles with long lower shadows, indicating strong buying pressure at lows:
- 💪Strong Bull (Bullish Hammer): Green marker, bullish close with significant lower shadow
- 💪Weak Bull (Bearish Hammer): Teal marker, bearish close but strong lower shadow
### 3️⃣ Bearish Momentum Candles (Inverted Hammer/Shooting Star)
Detects candles with long upper shadows, indicating strong selling pressure at highs:
- 💪Weak Bear (Bullish Inverted Hammer): Orange marker, bullish close but significant upper shadow
- 💪Strong Bear (Shooting Star): Red marker, bearish close with significant upper shadow
### 4️⃣ Smart Marker Sizing
Markers automatically adjust size based on current trend:
- With-Trend Signals: Larger markers (e.g., hammer in bullish trend)
- Counter-Trend Signals: Smaller markers (e.g., shooting star in bullish trend)
- Neutral Trend: Medium-sized markers
---
## ⚙️ Parameter Settings
### Structure Resistance Parameters
- Swing Length: Default 5, higher values = clearer structure but fewer signals
- Show Lines/Labels: Toggle on/off options
### Bullish Momentum (Hammer) Parameters
- Lower Shadow/Body Ratio: Default 2.0, lower shadow must be 2x body size
- Upper Shadow/Body Ratio Limit: Default 0.2, upper shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the top of candle
### Bearish Momentum (Inverted Hammer) Parameters
- Upper Shadow/Body Ratio: Default 2.0, upper shadow must be 2x body size
- Lower Shadow/Body Ratio Limit: Default 0.2, lower shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the bottom of candle
### Filter & Display Settings
- Minimum Body Size: Filters out doji-like candles with tiny bodies
- Pattern Type Toggles: Show/hide different pattern types individually
- Background Transparency: Adjust background color intensity (higher = more transparent)
- Label Distance: Adjust marker distance from candles
---
## 📈 Usage Guidelines
### Trading Signal Interpretation
**Long Signals (Strongest to Weakest):**
1. Bullish Structure + Bullish Hammer (💪Strong Bull) → Strongest long signal
2. Bullish Structure + Bearish Hammer (💪Weak Bull) → Secondary long signal
3. Bearish Structure + Hammer → Potential reversal signal
**Short Signals (Strongest to Weakest):**
1. Bearish Structure + Shooting Star (💪Strong Bear) → Strongest short signal
2. Bearish Structure + Bullish Inverted Hammer (💪Weak Bear) → Secondary short signal
3. Bullish Structure + Shooting Star → Potential reversal signal
### Practical Tips
✅ Trend Following: Prioritize large marker signals (aligned with trend)
✅ Structure Confirmation: Wait for structure breakout before entry to avoid false breaks
✅ Multiple Timeframes: Confirm trend direction with higher timeframes
⚠️ Counter-Trend Caution: Small marker signals (counter-trend) require stricter risk management
---
## 🔔 Alert Setup
This indicator provides 9 alert conditions:
- Individual Patterns: Bullish Hammer, Bearish Hammer, Bullish Inverted Hammer, Shooting Star
- Combined Signals: Bullish Momentum, Bearish Momentum, Bull/Bear Momentum
- Structure Breakouts: Bullish Structure Break, Bearish Structure Break
---
## 💡 FAQ
**Q: Why do hammers sometimes appear without markers?**
A: Check "Minimum Body Size" setting - the candle body may be too small and filtered out
**Q: Too many or too few markers?**
A: Adjust "Lower Shadow/Body Ratio" or "Upper Shadow/Body Ratio" parameters - higher ratios = stricter conditions
**Q: How to see only the strongest signals?**
A: Disable "Bearish Hammer" and "Bullish Inverted Hammer", keep only "Bullish Hammer" and "Shooting Star"
**Q: Can it be used on all timeframes?**
A: Yes, but recommended for 15-minute and higher timeframes - shorter timeframes have more noise
---
## 📝 Disclaimer
⚠️ This indicator is a supplementary tool and should be used with other technical analysis methods
⚠️ Past performance does not guarantee future results - always practice proper risk management
⚠️ Recommended to test on demo account before live trading
---
**Version:** Pine Script v6
**Applicable Markets:** Stocks, Futures, Cryptocurrencies, and all markets
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise.
It integrates three core analytical components into a single interface:
Trend Engine: A Linear Regression Curve to determine the mean trajectory.
Volume Verification: Filters signals to ensure price movement is backed by market participation.
Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis.
2. Core Components and Logic
The Trajectory Engine
The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction.
The Baseline: Represents the "fair value" or mean trajectory of the asset.
The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation.
Trend Definition:
Bullish: Price breaks above the Upper Deviation Band.
Bearish: Price breaks below the Lower Deviation Band.
Neutral/Chop: Price remains inside the cloud.
Smart Volume Filter
The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume.
High Volume: Current volume is greater than the Volume SMA.
Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity.
Volume Structure (Smart Liquidity)
The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points.
Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active).
Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached.
3. Signal Guide
Trend Reversals (Buy/Sell Labels)
These are the primary signals indicating a potential change in the macro trend.
BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend.
SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend.
Pullbacks (Small Circles)
These are continuation signals, useful for adding to positions or entering an existing trend.
Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it.
Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it.
4. Configuration and Settings
Trend Engine Settings
Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity.
Channel Multiplier: Controls the width of the cloud.
1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives.
1.5: Balanced (Default).
2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals.
Signal Logic
Show Trend Reversals: Toggles the main Buy/Sell labels.
Show Pullbacks: Toggles the re-entry circle signals.
Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement.
Volume Structure
Show Smart Liquidity: Toggles the Support/Resistance boxes.
Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures.
Max Active Zones: Limits the number of boxes on the chart to prevent clutter.
5. Timeframe Optimization Guide
To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe.
Scalping (1-Minute to 5-Minute Charts)
Recommended Length: 20 to 30
Multiplier: 1.2 to 1.5
Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes.
Day Trading (15-Minute to 1-Hour Charts)
Recommended Length: 55 (Default)
Multiplier: 1.5
Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions.
Swing Trading (4-Hour to Daily Charts)
Recommended Length: 89 to 100
Multiplier: 1.8 to 2.0
Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements.
6. Dashboard (HUD) Interpretation
The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually.
Bias: Displays the current trend direction (BULLISH or BEARISH).
Momentum:
ACCELERATING: Price is moving away from the baseline (strong trend).
WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal).
Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average.
Disclaimer
*Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
ChronoFlow## ChronoFlow Sentinel
ChronoFlow Sentinel is a regime console that blends normalized fast/mid/slow regression slopes, phases them against a dual-speed EMA spread, and grades alignment so you instantly know whether the time stack is trending, rotating, or fighting itself.
HOW IT WORKS
Multi-Timeframe Slopes – Linear regression slopes are fetched via request.security() for your chosen fast, mid, and slow frames.
Normalized Weighting – User weights are rescaled so the composite chrono score is always on a consistent scale, regardless of configuration.
Phase Differential – The indicator subtracts a slow EMA from a fast EMA to detect whether price impulse confirms the slope mix.
Alignment Score – Signs of the three slopes are compared to compute a 0-1 alignment metric; backgrounds and alerts use this to signal confidence vs. chop.
Diagnostics Console – A bottom-right table streams each slope, the blended score, and which timeframe currently dominates.
HOW TO USE IT
Trend Qualification : Only push multi-contract positions when chrono score is positive, phase is positive, and alignment stays above your alert threshold (default 0.66).
Chop Defense : When alignment dips and conflict markers appear, immediately switch into mean-reversion tactics or sit flat.
Swing + Intraday Bridge : Pair ChronoFlow with other structure tools; require both aligned backgrounds and price confirmation before committing to swing entries.
CRYPTOCAP:SOL | CRYPTOCAP:XRP side by side view with ChronoFlow
VISUAL FEATURES
Optional flow curves: Enable Plot Raw Flows to audit each timeframe's slope when troubleshooting a signal.
Background intensity: Opacity auto-adjusts with alignment, so weak trends look faded while strong regimes glow vividly.
Signal/Conflict toggles: Long/short and chop markers are opt-in, keeping the panel pristine until you need annotations.
Conflict alerts: Built-in alert condition fires whenever alignment falls below your threshold, warning execution layers to scale down risk.
PARAMETERS
Fast Frame (default: 30): Fast timeframe for regression slope calculation.
Mid Frame (default: 120): Mid timeframe for regression slope calculation.
Slow Frame (default: D): Slow timeframe for regression slope calculation.
Fast Regression (default: 21): Regression length for fast timeframe.
Mid Regression (default: 34): Regression length for mid timeframe.
Slow Regression (default: 55): Regression length for slow timeframe.
Phase Length (default: 13): EMA period for phase differential calculation.
Fast Weight (default: 0.45): Influence of the fast timeframe in the composite score.
Mid Weight (default: 0.35): Influence of the mid timeframe in the composite score.
Slow Weight (default: 0.20): Influence of the slow timeframe in the composite score.
Plot Raw Flows (default: disabled): Enable to audit each timeframe's slope when troubleshooting.
Show Signal Labels (default: disabled): Toggle long/short signal markers.
Show Conflict Labels (default: disabled): Toggle conflict/chop markers.
Conflict Alert Level (default: 0.66): Set the alignment threshold that should trigger reduced size or flat positioning.
ALERTS
The indicator includes three alert conditions:
ChronoFlow Bullish: Detected a bullish regime shift
ChronoFlow Bearish: Detected a bearish regime shift
ChronoFlow Conflict: Flagged a low-alignment regime
LIMITATIONS
This indicator requires access to multiple timeframes via request.security() , which may consume additional resources. The alignment score is a simplified metric—real market conditions are more complex than a 0-1 scale can capture. The phase differential calculation assumes EMA spreads are meaningful proxies for momentum, which may not hold in all market regimes. Users should test parameter combinations on their specific instruments and timeframes, as default values are optimized for typical index futures trading.
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Volumetric Inverse Fair Value Gap (IFVG) [Kodexius]The Volumetric Inverse Fair Value Gap (IFVG) indicator detects and visualizes inverse fair value gaps (IFVGs) zones where previous inefficiencies in price (fair value gaps) are later invalidated or “inverted.”
Unlike traditional FVG indicators, this tool integrates volume-based analysis to quantify the bullish, bearish, and overall strength of each inversion. It visually represents these metrics within a dynamically updating box on the chart, giving traders deeper insight into market reactions when liquidity imbalances are filled and reversed.
Features
Inverse fair value gap detection
The script identifies bullish and bearish fair value gaps, stores them as pending zones, and turns them into inverse fair value gaps when price trades back through the gap in the opposite direction. Each valid inversion becomes an active IFVG zone on the chart.
Sensitivity control with ATR filter and strict mode
A minimum gap size based on ATR is used to filter out small and noisy gaps. Strict mode can be enabled so that any wick contact between the relevant candles prevents the gap from being accepted as a fair value gap. This lets you decide how clean and selective the zones should be.
Show Last N Boxes control
The indicator can keep only the most recent N IFVG zones visible. Older zones are removed from the chart once the number of active objects exceeds the user setting. This prevents clutter on higher timeframes or long histories and keeps attention on the most relevant recent zones.
Ghost box for the original gap
When the ghost option is enabled, the script draws a faint box that marks the original fair value gap from which the inverse zone came. This makes it easy to see where the initial imbalance appeared and how price later inverted that area.
Volumetric bull, bear and strength metrics
For each IFVG, the script estimates how much of the bar volume is associated with buying and how much with selling, then computes bull percentage, bear percentage and a strength score that uses a percentile rank of volume. These values are stored with the IFVG object and drive the visualization inside the zone.
Three band visual layout inside each IFVG
Each active IFVG is drawn as a container with three horizontal sections. The top band represents the bull percentage, the middle band the bear percentage and the bottom band the strength metric. The width of each bar reflects its respective value so you can read the structure of the zone at a glance.
Customizable colors and label text
Colors for bull, bear, strength, the empty background area, the ghost box and label text can be adjusted in the inputs. This allows you to match the indicator to different chart themes or highlight specific aspects such as strength or direction.
Automatic invalidation and cleanup
When price clearly closes beyond the IFVG in a way that breaks the logic of that zone, the script marks it as inactive and deletes all boxes and labels linked to it. Only valid and active IFVGs remain on the chart, which keeps the display clean and focused.
Calculations
1. Detecting Fair Value Gaps (FVGs)
A fair value gap is identified when price action leaves an imbalance between candle wicks. Depending on the mode:
Bullish FVG: When low > high
Bearish FVG: When high < low
Optionally, the strict mode ensures wicks do not touch.
The gap’s significance is filtered using the ATR multiplier input to exclude minor noise.
Once detected, FVGs are stored as pending zones until inverted by opposite movement (price crossing through).
bool bull_cond = strict_mode ? (low > high ) : (close > high )
bool bear_cond = strict_mode ? (high < low ) : (close < low )
float gap_size = 0.0
if bull_cond and close > open
gap_size := low - high
if bear_cond and close < open
gap_size := low - high
2. Creating IFVGs (Inversions)
When price later moves through a previous FVG in the opposite direction, an Inverse FVG (IFVG) is created.
For example:
A previous bearish FVG becomes bullish IFVG if price moves upward through it.
A previous bullish FVG becomes bearish IFVG if price moves downward through it.
The IFVG is initialized with structural boundaries (top, bottom) and timestamp metadata to anchor visualization.
if not p.is_bull_gap and close > p.top
inverted := true
to_bull := true
if p.is_bull_gap and close < p.btm
inverted := true
to_bull := false
3. Volume Metrics (Bull, Bear, Strength)
Each IFVG calculates buy and sell volumes from the current bar’s price spread and total volume.
Bull % = proportion of upward (buy) volume
Bear % = proportion of downward (sell) volume
Strength % = normalized percentile rank of total volume
These are obtained through a custom function that estimates directional volume contribution:
calc_metrics(float o, float h, float l, float c, float v) =>
float rng = h - l
float buy_v = 0.0
if rng == 0
buy_v := v * 0.5
else
if c >= o
buy_v := v * ((math.abs(c - o) + (math.min(o, c) - l)) / rng)
else
buy_v := v * ((h - math.max(o, c)) / rng)
float sell_v = v - buy_v
float total = buy_v + sell_v
float p_bull = total > 0 ? buy_v / total : 0
float p_bear = total > 0 ? sell_v / total : 0
float p_str = ta.percentrank(v, 100) / 100.0
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering)
Description:
Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System."
The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement.
Why this combination? (The Logic Behind the Mashup)
Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets.
Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary.
How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades:
Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend).
Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend).
The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital.
Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues:
Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly.
Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly.
Thick Line (HMA): The main line changes color based on the trend.
Green: Bullish Confluence.
Red: Bearish Confluence.
Gray: Divergence/Choppy (No Trade Zone).
Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss.
Strategy Settings
HMA Length: Default is 50 (Mid-term trend).
ATR Factor/Period: Default is 3.0/10 (Standard for trend catching).
Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree.
Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
Smart Money Concepts [Modern Neon V2]This is a visually overhauled version of the popular Smart Money Concepts (SMC) indicator, designed specifically for traders who prefer Dark Mode, High Contrast, and Maximum Visibility.
While the underlying logic preserves the robust structure detection of the original LuxAlgo script, the visual presentation has been completely modernized. The default "dull" colors have been replaced with a vibrant Cyberpunk Neon palette, and text labels have been significantly upscaled to ensure market structure is readable at a glance, even on high-resolution monitors.
🎨 Visual & Style Enhancements:
Neon Palette:
Bullish: Electric Cyan (#00F5FF)
Bearish: Neon Hot Pink (#FF007F)
Neutral/Levels: Bright Gold (#FFD700)
High Visibility Text: Market Structure labels (BOS, CHoCH, HH/LL) have been upgraded from "Tiny" to Normal size. Key Swing Points (Strong High/Low) are set to Large.
Modern "Solid" Blocks: Order Blocks and FVGs feature reduced transparency (60%) for a bolder, solid look that doesn't get washed out on dark backgrounds.
Decluttered: Removed unnecessary "Small" elements and dotted lines to focus on price action.
🛠 Key Features:
Real-Time Structure: Automatic detection of Internal and Swing structure (BOS & CHoCH) with trend coloring.
Order Blocks: Highlights Bullish and Bearish Order Blocks with new mitigation logic.
Fair Value Gaps (FVG): Auto-threshold detection for high-probability gaps.
Premium & Discount Zones: Automatically plots equilibrium zones for better entry targeting.
Multi-Timeframe Levels: Display Daily, Weekly, and Monthly highs/lows.
Trend Dashboard: (If you added the dashboard code) A clean panel displaying the current Internal and Swing trend bias.
CREDITS & LICENSE: This script is a modification of the "Smart Money Concepts " indicator.
Original Author: © LuxAlgo
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
creativecommons.org
Relative Strength Heatmap [BackQuant]Relative Strength Heatmap
A multi-horizon RSI matrix that compresses 20 different lookbacks into a single panel, turning raw momentum into a visual “pressure gauge” for overbought and oversold clustering, trend exhaustion, and breadth of participation across time horizons.
What this is
This indicator builds a strip-style heatmap of 20 RSIs, each with a different length, and stacks them vertically as colored tiles in a single pane. Every tile is colored by its RSI value using your chosen palette, so you can see at a glance:
How many “fast” versus “slow” RSIs are overbought or oversold.
Whether momentum is concentrated in the short lookbacks or spread across the whole curve.
When momentum extremes cluster, signalling strong market pressure or exhaustion.
On top of the tiles, the script plots two simple breadth lines:
A white line that counts how many RSIs are above 70 (overbought cluster).
A black line that counts how many RSIs are below 30 (oversold cluster).
This turns a single symbol’s RSI ladder into a compact “market pressure gauge” that shows not only whether RSI is overbought or oversold, but how many different horizons agree at the same time.
Core idea
A single RSI looks at one length and one timescale. Markets, however, are driven by flows that operate on multiple horizons at once. By computing RSI over a ladder of lengths, you approximate a “term structure” of strength:
Short lengths react to immediate swings and very recent impulses.
Medium lengths reflect swing behaviour and local trends.
Long lengths reflect structural bias and higher timeframe regime.
When many lengths agree, for example 10 or more RSIs all above 70, it suggests broad participation and strong directional pressure. When only a few fast lengths stretch to extremes while longer ones stay neutral, the move is more fragile and more likely to mean-revert.
This script makes that structure visible as a heatmap instead of forcing you to run many separate RSI panes.
How it works
1) Generating RSI lengths
You control three parameters in the calculation settings:
RS Period – the base RSI length used for the shortest strip.
RSI Step – the amount added to each successive RSI length.
RSI Multiplier – a global scaling factor applied after the step.
Each of the 20 RSIs uses:
RSI length = round((base_length + step × index) × multiplier) , where the index goes from 0 to 19.
That means:
RSI 1 uses (len + step × 0) × mult.
RSI 2 uses (len + step × 1) × mult.
…
RSI 20 uses (len + step × 19) × mult.
You can keep the ladder dense (small step and multiplier) or stretch it across much longer horizons.
2) Heatmap layout and grouping
Each RSI is plotted as an “area” strip at a fixed vertical level using histbase to stack them:
RSI 1–5 form Group 1.
RSI 6–10 form Group 2.
RSI 11–15 form Group 3.
RSI 16–20 form Group 4.
Each group has a toggle:
Show only Group 1 and 2 if you care mainly about fast and medium horizons.
Show all groups for a full spectrum from very short to very long.
Hide any group that feels redundant for your workflow.
The actual numeric RSI values are not plotted as lines. Instead, each strip is drawn as a horizontal band whose fill color represents the current RSI regime.
3) Palette-based coloring
Each tile’s color is driven by the RSI value and your chosen palette. The script includes several palettes:
Viridis – smooth green to yellow, good for subtle reading.
Jet – strong blue to red sequence with high contrast.
Plasma – purple through orange to yellow.
Custom Heat – cool blues to neutral grey to hot reds.
Gray – grayscale from white to black for minimalistic layouts.
Cividis, Inferno, Magma, Turbo, Rainbow – additional scientific and rainbow-style maps.
Internally, RSI values are bucketed into ranges (for example, below 10, 10–20, …, 90–100). Each bucket maps to a unique colour for that palette. In all schemes, low RSI values are mapped to the “cold” or darker side and high RSI values to the “hot” or brighter side.
The result is a true momentum heatmap:
Cold or dark tiles show low RSI and oversold or compressed conditions.
Mid tones show neutral or mid-range RSI.
Warm or bright tiles show high RSI and overbought or stretched conditions.
4) Bull and bear breadth counts
All 20 RSI values are collected into an array each bar. Two counters are then calculated:
Bull count – how many RSIs are above 70.
Bear count – how many RSIs are below 30.
These are plotted as:
A white line (“RSI > 70 Count”) for the overbought cluster.
A black line (“RSI < 30 Count”) for the oversold cluster.
If you enable the “Show Bull and Bear Count” option, you get an immediate reading of how many of the 20 horizons are stretched at any moment.
5) Cluster alerts and background tagging
Two alert conditions monitor “strong cluster” regimes:
RSI Heatmap Strong Bull – triggers when at least 10 RSIs are above 70.
RSI Heatmap Strong Bear – triggers when at least 10 RSIs are below 30.
When one of these conditions is true, the indicator can tint the background of the chart using a soft version of the current palette. This visually marks stretches where momentum is extreme across many lengths at once, not just on a single RSI.
What it plots
In one oscillator window, the indicator provides:
Up to 20 horizontal RSI strips, each representing a different RSI length.
Color-coded tiles reflecting the current RSI value for each length.
Group toggles to show or hide each block of five RSIs.
An optional white line that counts how many RSIs are above 70.
An optional black line that counts how many RSIs are below 30.
Optional background highlights when the number of overbought or oversold RSIs passes the strong-cluster threshold.
How it measures breadth and pressure
Single-symbol breadth
Breadth is usually defined across a basket of symbols, such as how many stocks advance versus decline. This indicator uses the same concept across time horizons for a single symbol. The question becomes:
“How many different RSI lengths are stretched in the same direction at once?”
Examples:
If only 2 or 3 of the shortest RSIs are above 70, bull count stays low. The move is fast and local, but not yet broadly supported.
If 12 or more RSIs across short, medium and long lengths are above 70, the bull count spikes. The move has broad momentum and strong upside pressure.
If 10 or more RSIs are below 30, bear count spikes and you are in a broad oversold regime.
This is breadth of momentum within one market.
Market pressure gauge
The combination of heatmap tiles and breadth lines acts as a pressure gauge:
High bull count with warm colors across most strips indicates strong upside pressure and crowded long positioning.
High bear count with cold colors across most strips indicates strong downside pressure and capitulation or forced selling.
Low counts with a mixed heatmap indicate neutral pressure, fragmented flows, or range-bound conditions.
You can treat the strong-cluster alerts as “extreme pressure” signals. When they fire, the market is heavily skewed in one direction across many horizons.
How to read the heatmap
Horizontal patterns (through time)
Look along the time axis and watch how the colors evolve:
Persistent hot tiles across many strips show sustained bullish pressure and trend strength.
Persistent cold tiles across many strips show sustained bearish pressure and weak demand.
Frequent flipping between hot and cold colours indicates a choppy or mean-reverting environment.
Vertical structure (across lengths at one bar)
Focus on a single bar and read the column of tiles from top to bottom:
Short RSIs hot, long RSIs neutral or cool: early trend or short-term fomo. Price has moved fast, longer horizons have not caught up.
Short and long RSIs all hot: mature, entrenched uptrend. Broad participation, high pressure, greater risk of blow-off or late-entry vulnerability.
Short RSIs cold but long RSIs mid to high: pullback in a higher timeframe uptrend. Dip-buy and continuation setups are often found here.
Short RSIs high but long RSIs low: countertrend rallies within a broader downtrend. Good hunting ground for fades and short entries after a bounce.
Bull and bear breadth lines
Use the two lines as simple, numeric breadth indicators:
A rising white line shows more RSIs pushing above 70, so bullish pressure is expanding in breadth.
A rising black line shows more RSIs pushing below 30, so bearish pressure is expanding in breadth.
When both lines are low and flat, few horizons are extreme and the market is in mid-range territory.
Cluster zones
When either count crosses the strong threshold (for example 10 out of 20 RSIs in extreme territory):
A strong bull cluster marks a broadly overbought regime. Trend followers may see this as confirmation. Mean-reversion traders may see it as a late-stage or blow-off context.
A strong bear cluster marks a broadly oversold regime. Downtrend traders see strong pressure, but the risk of sharp short-covering bounces also increases.
Trading applications
Trend confirmation
Use the heatmap and breadth lines as a trend filter:
Prefer long setups when the heatmap shows mostly mid to high RSIs and the bull count is rising.
Avoid fresh shorts when there is a strong bull cluster, unless you are specifically trading exhaustion.
Prefer short setups when the heatmap is mostly low RSIs and the bear count is rising.
Avoid aggressive longs when a strong bear cluster is active, unless you are trading reflexive bounces.
Mean-reversion timing
Treat cluster extremes as exhaustion zones:
Look for reversal patterns, failed breakouts, or order flow shifts when bull count is very high and price starts to stall or diverge.
Look for reflexive bounce potential when bear count is very high and price stops making new lows or shows absorption at the lows.
Use the palette and counts together: hot tiles plus a peaking white line can mark blow-off conditions, cold tiles plus a peaking black line can mark capitulation.
Regime detection and risk toggling
Use the overall shape of the ladder over time:
If upper strips stay warm and lower strips stay neutral or warm for extended periods, the market is in an uptrend regime. You can justify higher risk for long-biased strategies.
If upper strips stay cold and lower strips stay neutral or cold, the market is in a downtrend regime. You can justify higher risk for short-biased strategies or defensive positioning.
If colours and counts flip frequently, you are likely in a range or choppy regime. Consider reducing size or using more tactical, short-term strategies.
Multi-horizon synchronization
You can think of each RSI length as a proxy for a different “speed” of the same market:
When only fast RSIs are stretched, the move is local and less robust.
When fast, medium and slow RSIs align, the move has multi-horizon confirmation.
You can require a minimum bull or bear count before allowing your main strategy to engage.
Spotting hidden shifts
Sometimes price appears flat or drifting, but the heatmap quietly cools or warms:
If price is sideways while many hot tiles fade toward neutral, momentum is decaying under the surface and trend risk is increasing.
If price is sideways while many cold tiles climb back toward neutral, selling pressure is decaying and the tape is repairing itself.
Settings overview
Calculation Settings
RS Period – base RSI length for the shortest strip.
RSI Step – the increment added to each successive RSI length.
RSI Multiplier – scales all generated RSI lengths.
Calculation Source – the input series, such as close, hlc3 or others.
Plotting and Coloring Settings
Heatmap Color Palette – choose between Viridis, Jet, Plasma, Custom Heat, Gray, Cividis, Inferno, Magma, Turbo or Rainbow.
Show Group 1 – toggles RSI 1–5.
Show Group 2 – toggles RSI 6–10.
Show Group 3 – toggles RSI 11–15.
Show Group 4 – toggles RSI 16–20.
Show Bull and Bear Count – enables or disables the two breadth lines.
Alerts
RSI Heatmap Strong Bull – fires when the number of RSIs above 70 reaches or exceeds the configured threshold (default 10).
RSI Heatmap Strong Bear – fires when the number of RSIs below 30 reaches or exceeds the configured threshold (default 10).
Tuning guidance
Fast, tactical configurations
Use a small base RS Period, for example 2 to 5.
Use a small RSI Step, for tight clustering around the fast horizon.
Keep the multiplier near 1.0 to avoid extreme long lengths.
Focus on Group 1 and Group 2 for intraday and short-term trading.
Swing and position configurations
Use a mid-range RS Period, for example 7 to 14.
Use a moderate RSI Step to fan out into slower horizons.
Optionally use a multiplier slightly above 1.0.
Keep all four groups enabled for a full view from fast to slow.
Macro or higher timeframe configurations
Use a larger base RS Period.
Use a larger RSI Step so the top of the ladder reaches very slow lengths.
Focus on Group 3 and Group 4 to see structural momentum.
Treat clusters as regime markers rather than frequent trading signals.
Notes
This indicator is a contextual tool, not a standalone trading system. It does not model execution, spreads, slippage or fundamental drivers. Use it to:
Understand whether momentum is narrow or broad across horizons.
Confirm or filter existing signals from your primary strategy.
Identify environments where the market is crowded into one side.
Distinguish between isolated spikes and truly broad pressure moves.
The Relative Strength Heatmap is designed to answer a simple but powerful question:
“How many versions of RSI agree with what I am seeing on the chart?”
By compressing those answers into a single panel with clear colour coding and breadth lines, it becomes a practical, visual gauge of momentum breadth and market pressure that you can overlay on any trading framework.
Morning ORB FVG Trigger✅ Overview
Morning ORB FVG Trigger is a complete intraday trading framework built around:
A Morning Opening Range Breakout (ORB)
The first Fair Value Gap (FVG) after that breakout
Strict risk management and position sizing
Optional HTF trend filter (Daily / Weekly / Monthly)
Optional Daily ATR filter to avoid extreme days
The script is designed for futures / indices / FX on intraday charts up to 15 minutes and for traders who want a clean, mechanical entry framework with clear risk.
🧠 Core idea
Define a morning opening range (e.g. 09:30–09:45).
Wait for a clean breakout above/below that range.
After the breakout, wait for the first FVG in breakout direction,
confirmed by the next candle (no immediate full reclaim).
Use a chosen stop logic + R:R factor to build risk/reward boxes.
Calculate position size based on your account risk.
(Optional) Only take trades:
In the direction of the HTF EMA trend (D/W/M).
On days where the morning range is within a band of the Daily ATR.
You can also disable all signals/boxes and use the script just as a visual ORB tool.
⏰ 1. ORB / Morning Range
Inputs (Main section)
Morning Range Session
Time window of the opening range in exchange time
Example: 09:30–09:45 for a 15-minute ORB.
You can type custom ranges (e.g. 09:30–09:35 for a 5-minute ORB).
Risk/Reward (TP factor)
Multiplier for the take-profit distance relative to the stop.
2.0 = TP is 2× the stop distance
1.5 = TP is 1.5× the stop distance
Show ORB range
If enabled, draws:
ORB high/low lines
ORB labels (e.g. 15min ORB high / low)
Optional midline
Extend ORB lines to the right (bars)
How many bars to extend the ORB high/low horizontally beyond the ORB itself.
Trade box width (bars)
Horizontal width (in bars) of:
Red risk box (entry–stop)
Green reward box (entry–TP)
Implementation details
The ORB is always calculated on 1-minute data internally, so it stays precise even on 5m/15m charts.
The script only works on intraday timeframes up to 15 minutes.
📦 2. FVG Block
Group: “FVG”
Threshold %
Minimum size of an FVG in % of price.
0 = every FVG
Higher values = only larger gaps
Auto threshold (from volatility)
If enabled, the minimum FVG size is derived from historical volatility
instead of a fixed percentage.
Allow breakout FVG partly inside ORB
Off (default): the FVG must lie fully outside the ORB.
On: the breakout FVG itself may still overlap the ORB a bit,
as long as it is the first one attached to the breakout move.
Enable FVG entry signals, boxes & alerts
On: full system – FVG detection, entry labels, risk/TP boxes, alerts.
Off: no entries, no risk/TP boxes, no alerts.
You only get the ORB and (optionally) the HTF dashboard, so you can trade your own setups.
Entry mode
Entry mode (Mid / Edge / NextOpen)
Mid – Entry at the midpoint of the FVG.
Edge – Long at the upper FVG edge, short at the lower FVG edge.
NextOpen – No limit order in the gap. Entry is placed at the next bar open after FVG confirmation.
Edge offset (ticks)
Additional offset for Edge entries:
Long:
+ticks = a bit above the FVG (more conservative)
-ticks = deeper into the FVG (more aggressive)
Short:
+ticks = a bit below the FVG
-ticks = deeper into the FVG
FVG detection logic
Uses a LuxAlgo-style 3-candle FVG pattern (gap between candle 1 and 3).
Only one FVG is taken: the first valid FVG after the ORB breakout in breakup direction.
The FVG candle is the middle bar; the script:
Detects the FVG on the previous bar.
Waits for the current bar to confirm it:
Bullish: current low must stay above the lower FVG boundary
Bearish: current high must stay below the upper FVG boundary
Only then an entry signal is generated.
🛑 3. Stop Logic
Group: “Stop Logic”
Stop mode (PrevBar / Pivot / FVG Candle)
PrevBar – Stop at the low/high of the candle before the FVG
(tight/aggressive).
FVG Candle – Stop at the low/high of the FVG candle itself
(medium).
Pivot – Stop at the most recent swing high/low
using pivotLeft / pivotRight pivots (more conservative).
Ticks (stop buffer)
Offset (in ticks) from the selected stop level.
> 0 = further away (more room, more risk)
< 0 = closer (tighter stop)
Pivot left / Pivot right
Number of candles left/right to define a swing high/low
when using Pivot stop mode.
Typical intraday values: 2–3.
The script also sanity-checks the stop:
if the calculated stop would be invalid (e.g. above entry in a long), it moves it by a minimal distance (2 ticks) to keep a valid risk.
📈 4. HTF Trend Filter (Daily / Weekly / Monthly)
Group: “HTF Trend Filter”
Enable HTF trend filter
If enabled, trades are only allowed:
Long when at least 2 of D/W/M closes are above their EMA
Short when at least 2 of D/W/M closes are below their EMA
EMA length (D/W/M)
EMA length for all three higher timeframes (Daily, Weekly, Monthly).
This helps focus entries in the direction of the dominant higher-timeframe trend.
📊 5. ATR Filter (Daily)
Group: “ATR Filter (Daily)”
Use daily ATR filter
If enabled, the height of the ORB (ORB high – ORB low) must be within
a band of the Daily ATR to allow any signals.
Daily ATR length
ATR period on the Daily timeframe.
Min ORB size vs ATR
Lower bound:
Example: 0.3 → ORB must be at least 0.3 × Daily ATR
0.0 = no minimum.
Max ORB size vs ATR
Upper bound:
Example: 1.5 → ORB must be ≤ 1.5 × Daily ATR
0.0 = no maximum.
If the ORB is too small (choppy) or too large (exhausted move), no breakout or FVG signal will be generated on that day.
🧭 6. HTF Dashboard & Signal Labels
Group: “HTF Trend Dashboard”
Show HTF dashboard
Draws a small label at the top of the chart showing:
HTF Trend (EMA X)
D: UP/FLAT/DOWN
W: UP/FLAT/DOWN
M: UP/FLAT/DOWN
Dashboard position
Top Right, Top Center, Top Left – places the dashboard at the top.
Over Risk Info – no top dashboard; instead, the HTF trend info is shown as a label near the risk box when a new signal appears.
Lookback (bars) for top anchor
How many bars to use to determine the top price level for dashboard placement.
Show HTF trend above risk box on signal
Only relevant if Dashboard position = Over Risk Info.
When enabled, a small HTF label appears near the risk box for each new trade.
Signal label vertical offset (ticks)
Vertical spacing between risk info label and HTF label.
Minimum spacing HTF/Risk (ticks)
Ensures a minimum vertical distance so the two labels don’t overlap.
HTF signal label X offset (bars)
Horizontal offset (left/right) relative to the risk info label.
⏳ 7. ORB–FVG Filters (Session & Time Window)
Group: “ORB FVG Filter”
Only same session day
If enabled, FVG entries are only allowed on the same calendar day
as the ORB. When the date changes, all state & drawings are reset.
Limit hours after ORB
Enables a time window after the ORB end.
Trading window after ORB (hours)
Length of that window in hours.
Example: 2.0 → FVG signals only in the first 2 hours after ORB end.
💰 8. Risk Management & Position Sizing
Group: “Risk Management”
Calculate position size
If enabled, the script computes suggested mini and micro contract size for you.
Account size
Your trading account size (in account currency).
Risk mode
Percent – risk is a % of account size (Account risk %).
Fixed amount – risk is a fixed dollar amount (Fixed risk ($)).
Account risk %
Risk per trade as a percentage of account size (e.g. 1.0 for 1%).
Fixed risk ($)
Fixed risk per trade in dollars when using Fixed amount mode.
Micro factor (vs mini)
How much a micro contract is worth relative to a mini.
Example:
0.1 → one micro moves 1/10 of one mini.
Risk Info label
For each new trade, a label is shown above the boxes with:
Stop distance in price and $ risk per mini
Max risk allowed for the trade
Suggested mini and micro size
Text like:
Suggested: 2 mini
Suggested: 5 micro
or Suggested: no trade
This makes the script especially useful for prop-firm rules or strict risk discipline.
🎨 9. Visual Style (Boxes, Labels, ORB Lines)
Group: “Box & Label Style (Trade)”
Label font size (Very small, Small, Normal, Large)
Entry label BG / text color
Stop label BG / text color
TP label BG / text color
Risk info BG / text color
Risk box color (entry–stop zone)
Reward box color (entry–TP zone)
Group: “ORB Style”
ORB high line color
ORB low line color
ORB line width
ORB label font size
ORB label background color
ORB label text color
Show ORB midline
ORB midline color / width / style (Solid / Dashed / Dotted)
⚠️ 10. Alerts
Group: “Alerts”
The script defines three alert conditions:
Long entry FVG breakout
Triggered when a new long signal appears.
Short entry FVG breakout
Triggered when a new short signal appears.
FVG entry (long/short)
Generic alert for any new signal (long or short).
To use them:
Add the indicator to the chart.
Open the Alerts dialog → “Condition”.
Select this script and one of the alert conditions.
Set your preferred expiration and notification settings.
Alerts only fire when Enable FVG entry signals, boxes & alerts is on.
🧩 11. How the trading logic flows (summary)
Build ORB on 1-minute data during the selected session.
Optionally reject the day if ORB is outside the ATR bounds.
Wait for a breakout (close above high or below low), respecting HTF trend filter.
After breakout, look for the first valid FVG in that direction:
Outside the ORB (unless breakout FVG allowed inside)
Confirmed by the next candle (no full reclaim)
Once confirmed:
Compute entry, stop, target.
Draw risk/reward boxes and all labels.
Optionally show HTF signal label over the risk info.
Trigger alerts if enabled.
If you disable FVG signals, only steps 1–3 (plus dashboard) are effectively active.
⚠️ 12. Notes & Disclaimer
Script is intended for intraday trading up to 15-minute timeframes.
All signals are mechanical and do not guarantee profitability.
Always backtest and forward-test on your own data before risking real money.
This script is for educational purposes only and is not financial advice.
🚀 Quick-start guide
Add the script to your chart
Use an intraday timeframe ≤ 15 minutes (1m, 3m, 5m, 15m).
Works best on liquid indices, futures, FX and large-cap stocks.
Set the Morning Range
In “Morning Range Session” choose the exchange’s opening window.
Examples
US index futures (CME): 08:30–08:45 or 08:30–08:35
US stocks (NYSE/Nasdaq): 09:30–09:45 or 09:30–09:35
The ORB is always calculated on 1-minute data internally, so the range stays accurate on higher intraday charts.
Keep the default filters at first
HTF Trend Filter: ON
EMA length = 20
This will only allow trades in the direction of the dominant D/W/M trend.
ATR Filter: OFF (optional; you can enable later once you’re comfortable).
Use the full trade system
In the FVG group leave
“Enable FVG entry signals, boxes & alerts” = ON
Entry mode: Mid
Stop mode: FVG Candle or PrevBar
Risk/Reward: 2.0 as a starting point.
Set your risk
Turn on “Calculate position size”.
Enter your Account size and choose either:
Risk mode = Percent (e.g. 1.0 = 1% per trade), or
Risk mode = Fixed amount (e.g. $250 per trade).
The risk info label will show:
Stop distance in price and $/contract
Max allowed risk
Suggested mini and micro contract size.
Enable alerts (optional)
Open the Alerts dialog → Condition: this script.
Choose one of:
Long entry FVG breakout
Short entry FVG breakout
FVG entry (long/short)
Choose “Once per bar” or “Once per bar close”, and your preferred notification type.
Replay & journal
Use the TradingView bar replay tool to step through past days.
Focus on:
How the ORB defines the structure.
How the first confirmed FVG outside the ORB behaves.
Whether the risk/TP levels fit your own style and product.
🎛 Recommended settings & profiles
These are starting points, not rules. Always adapt to the instrument and your own risk tolerance.
1. Conservative / Trend-following
Timeframe: 5m or 15m
Morning Range Session: 15-minute ORB around the cash or futures open
FVG
Threshold %: 0.05–0.1 (filter out very small gaps)
Auto threshold: OFF (keep it simple)
Allow breakout FVG partly inside ORB: OFF
Enable FVG entry signals/boxes/alerts: ON
Entry mode: Mid
Stop Logic
Stop mode: Pivot
Pivot left/right: 2–3
Stop buffer: +1–2 ticks
HTF Trend Filter
Enabled: ON
EMA length: 20
ATR Filter
Enabled: ON
Daily ATR length: 14
Min ORB vs ATR: 0.3–0.4
Max ORB vs ATR: 1.2–1.5
Risk Management
Risk mode: Percent
Account risk: 0.5–1.0%
Idea: Only trade when the higher-timeframe trend supports the move and the opening range is of a “normal” size for the current volatility.
2. Balanced / Intraday directional
Timeframe: 3m or 5m
FVG
Threshold %: 0.02–0.05
Auto threshold: ON (lets the script adapt to volatility)
Allow breakout FVG partly inside ORB: ON
(first breakout FVG may partly sit inside the ORB)
Entry mode: Edge
Edge offset (ticks): 0 or +1
Stop Logic
Stop mode: FVG Candle
Stop buffer: 0–1 ticks
HTF Trend Filter
Enabled: ON
ATR Filter
Enabled: OFF (optional)
Risk Management
Risk mode: Percent
Account risk: 1.0–1.5% (if this fits your plan)
Idea: Slightly more aggressive entries at the gap edge, still aligned with HTF trend, but with more flexibility on ATR.
3. Aggressive / Scalping around the ORB
Timeframe: 1m or 3m
FVG
Threshold %: 0.0–0.02
Auto threshold: ON
Allow breakout FVG partly inside ORB: ON
Entry mode: NextOpen or Edge with a negative offset (deeper into the gap)
Stop Logic
Stop mode: PrevBar
Stop buffer: 0 or -1 tick
HTF Trend Filter
Enabled: OFF (or ON but treat as soft guidance)
ATR Filter
Enabled: OFF
Risk Management
Risk mode: Percent
Account risk: lower, e.g. 0.25–0.5% per trade
Idea: More trades and tighter stops. Best for experienced traders who understand the limitations of scalping and whipsaw risk.
Final reminder
All of these are templates, not guarantees:
Always check how the system behaves on your market and session.
Start on replay and demo before trading real money.
Adjust filters (HTF, ATR, thresholds) until the signals fit your personal approach.
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure.
Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model.
Originality and usefulness
Adaptive Trend Mapper (ATM) does not replicate any one indicator.
It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators:
They represent directional pressure on a 0–100 scale , not momentum.
They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine.
They can be optionally step-compressed , making the movement easier to read on fast or small charts.
The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart.
All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place.
How the Indicator Works
1. Bull & Bear Pressure Indices:
These indices measure directional imbalance:
Bull Index = ADX strength weighted against inverse-RSI
Bear Index = ADX strength weighted against normal RSI
This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate.
You can optionally smooth these using:
SMA / EMA / WMA / RMA via the “Smoothing Settings” panel.
2. Squeeze & Compression Detection:
A squeeze is detected when:
ADX stays below a user-defined threshold
Bull–Bear Index difference shrinks
Average difference is falling (convergence)
This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels .
3. Adaptive Trend Curve (SuperSmoother Engine)
The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA.
The slope color flips between bullish and bearish and is displayed using:
A thin SuperSmoother curve
A thicker band for visual context
4. EMA-50 Trend Context:
An optional EMA-50 helps identify broad directional bias .
5. Step-Based Scaling
You can quantize the Bull/Bear indices using custom step intervals.
This makes the indicator easier to read on noisy intraday charts.
How to Use the Indicator
1. Trend Analysis
A rising Bull Index shows strengthening upward pressure
A rising Bear Index shows strengthening downward pressure
Wide divergence between the indices signals a strong trend
2. Compression / Squeeze Analysis
Yellow background = volatility compression + pressure convergence
Breakouts from this zone often precede directional expansion
3. Trendline Reading
SuperSmoother line color flip = micro trend shift
EMA-50 slope gives macro-trend direction
Perfect for combining trend and momentum maps on the same chart
4. Visual Interpretation
Cyan/teal → strong bullish pressure
Purple/red/orange → various levels of bearish control
Neutral/teal background → weak ADX
Yellow background → squeeze zone
Open-Source Notes
This script uses:
TradingView built-in RSI, ADX/DMI, and smoothing functions
A SuperSmoother implementation based on known DSP filter coefficients
All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO .
The script is published open-source to comply with TradingView’s reuse policy.
Disclaimer
This tool is for educational and analytical purposes only.
It does not generate buy or sell signals.
Always use proper risk management.
Happy Trading (ARJO)
