指標和策略
维加斯隧道 Vegas Tunnel v1.0 [xseed]维加斯隧道 Vegas Tunnel V1.0_250709
-默认适配浅色风格主题
-关于EMA设置：
Ema默认(144 169和576 676)构成上下两个通道
Ema默认12 作为信号线
-关于颜色设置：
支持两个均线通道之间颜色填充
当信号线，进入通道区域内变色（默认是变红）
Default adaptation for a light-style theme.
Regarding EMA settings:
Default EMA (144, 169 and 576, 676) form two channels, an upper and a lower one.
Default EMA 12 serves as the signal line.
Regarding color settings:
Supports color filling between the two moving average channels.
When the signal line enters the channel area, its color changes (default is red).
-更新：
2025-07-09
首个版本V1.0
SKVolBal Pro v1.0SKVolBal Pro v1.0
Volume-RSI Fusion with Advanced Pattern Detection
This space-efficient indicator combines volume analysis, RSI, and candlestick pattern recognition in a single pane. Key features:
Volume-RSI Integration
Dual view modes: Stacked volume (Type 1) or separated buy/sell columns (Type 2)
RSI overlay with configurable levels (default 30/70)
Color-coded volume: Green = Buying pressure, Red = Selling pressure
Pattern Detection & Labels
Text labels indicate detected patterns with priority weighting:
C: Volume Climax
E: Engulfing Pattern
D: Divergence
H: Hammer
I: Inverted Hammer
S: Shooting Star
M: Hanging Man
B: Bearish Marubozu
G: Gravestone Doji
Label color indicates direction: Green = Bullish, Red = Bearish
Smart Signal Validation
Adaptive thresholds adjust to market volatility
Volume filters (vs SMA20) minimize false signals
Pattern weighting system prioritizes significant signals
Hover labels show all detected patterns with weights
Customization & Alerts
Adjust 15+ parameters including pattern sensitivity and volume allocation
Toggle individual patterns on/off with priority weighting
Built-in alerts for all 12 pattern types
Interpretation Guidance:
Strong signals: Labels appearing at RSI extremes (near 30/70) with high volume
Confirmation: Multiple patterns detected simultaneously (view via tooltip)
Caution: Isolated signals without volume/RSI confluence
Priority: Higher-weighted patterns override label display (weights 70-100)
*Optimized for efficiency with 500-label limit and 200-bar lookback. Color intensity reflects signal strength.*
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs.
- The Mathematical Foundation: Pointwise Mutual Information
Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context:
Event A: Volume spikes occurring (high trading activity)
Event B: Price being at specific levels
The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B)))
Where:
P(A,B) = Probability of volume spikes occurring at specific price levels
P(A) = Probability of volume spikes occurring anywhere
P(B) = Probability of price being at specific levels
High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones.
- Why PMI Outperforms Traditional Methods
Subjective interpretation: What one trader sees as significant, another might ignore
Confirmation bias: Tendency to see patterns that confirm existing beliefs
Inconsistent criteria: No standardized definition of "significant" volume or price action
Static analysis: Doesn't adapt to changing market conditions
No strength measurement: Can't quantify how "strong" a level truly is
PMI Advantages:
✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork
✅ Statistical Rigor: Levels backed by information theory and probability
✅ Strength Scoring: PMI scores rank levels by statistical significance
✅ Adaptive: Automatically adjusts to different market volatility regimes
✅ Eliminates Bias: Computer-calculated, removing human interpretation errors
✅ Market Structure Aware: Reveals the underlying order flow concentrations
- How It Works
Data Processing Pipeline:
Volume Analysis: Identifies volume spikes using configurable thresholds
Price Binning: Divides price range into discrete levels for analysis
Co-occurrence Calculation: Measures how often volume spikes happen at each price level
PMI Computation: Calculates statistical significance for each price level
Level Filtering: Shows only levels exceeding minimum PMI thresholds
Dynamic Updates: Refreshes levels periodically while maintaining historical traces
Visual System:
Current Levels: Bright, thick lines with PMI scores - your actionable levels
Historical Traces: Faded previous levels showing market structure evolution
Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted)
Color Coding: Green for support, red for resistance
Info Table: Real-time display of strongest levels with scores
- Indicator Settings:
Core Parameters
Lookback Period (Default: 200)
Lower (50-100): More responsive to recent price action, catches short-term levels
Higher (300-500): Focuses on major historical levels, more stable but less responsive
Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500)
Volume Spike Threshold (Default: 1.5)
Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected
Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals
Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3)
Price Bins (Default: 50)
Lower (20-30): Broader price zones, less precise but captures wider areas
Higher (70-100): More granular levels, precise but may be overly specific
Volatility dependent: High volatility assets benefit from more bins (70+)
Minimum PMI Score (Default: 0.5)
Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view
Higher (1.0-2.0): Only statistically strong levels, cleaner chart
Progressive filtering: Start with 0.5, increase if too cluttered
Max Levels to Show (Default: 8)
Fewer (3-5): Clean chart focusing on strongest levels only
More (10-15): Comprehensive view but may clutter chart
Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12)
Historical Tracking Settings
Update Frequency (Default: 20 bars)
Lower (5-10): More frequent updates, captures rapid market changes
Higher (50-100): Less frequent updates, focuses on major structural shifts
Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+)
Show Historical Levels (Default: True)
Enables the "breadcrumb trail" effect showing evolution of support/resistance
Disable for cleaner charts focusing only on current levels
Max Historical Marks (Default: 50)
Lower (20-30): Less memory usage, shorter history
Higher (100-200): Longer historical context but more resource intensive
Fade Strength (Default: 0.8)
Lower (0.5-0.6): Historical levels more visible
Higher (0.9-0.95): Historical levels very subtle
Visual Settings
Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level
- Most Effective Usage Strategies
For Day Trading:
Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15
Use PMI levels as bounce/rejection points for scalp entries
Higher PMI scores (>1.5) offer better probability setups
Watch for volume spike confirmations at levels
For Swing Trading:
Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30
Enter on pullbacks to high PMI support levels
Target next resistance level with PMI score >1.0
Hold through minor levels, exit at major PMI levels
For Position Trading:
Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+
Focus on PMI scores >2.0 for major structural levels
Use for portfolio entry/exit decisions
Combine with fundamental analysis for timing
- Trading Applications:
Entry Strategies:
PMI Bounce Trades
Price approaches high PMI support level (>1.0)
Wait for volume spike confirmation (orange triangles)
Enter long on bullish price action at the level
Stop loss just below the PMI level
Target: Next PMI resistance level
PMI Breakout Trades
Price consolidates near high PMI level
Volume increases (watch for orange triangles)
Enter on decisive break with volume
Previous resistance becomes new support
Target: Next major PMI level
PMI Rejection Trades
Price approaches PMI resistance with momentum
Watch for rejection signals and volume spikes
Enter short on failure to break through
Stop above the PMI level
Target: Next PMI support level
Risk Management:
Stop Loss Placement
Place stops 0.1-0.5% beyond PMI levels (adjust for volatility)
Higher PMI scores warrant tighter stops
Use ATR-based stops for volatile assets
Position Sizing
Larger positions at PMI levels >2.0 (highest conviction)
Smaller positions at PMI levels 0.5-1.0 (lower conviction)
Scale out at multiple PMI targets
- Key Warning Signs & What to Watch For
Red Flags:
🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading
🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale
🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning
🚨 Outdated Levels: Historical traces are reference only, not tradeable
Optimization Tips:
✅ Regular Recalibration: Adjust parameters monthly based on market regime changes
✅ Volume Context: Always check for recent volume activity at PMI levels
✅ Multiple Timeframes: Confirm PMI levels across different timeframes
✅ Market Conditions: Higher thresholds during high volatility periods
Interpreting PMI Scores
PMI Score Ranges:
0.5-1.0: Moderate statistical significance, proceed with caution
1.0-1.5: Good significance, reliable for most trading strategies
1.5-2.0: Strong significance, high-confidence trade setups
2.0+: Very strong significance, institutional-grade levels
Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
5/21 EMA Crossover AlertThis is a basic indicator which shows when the 5 EMA crosses through the 21 indicating a possible buy or sell signal. remember, this is only an indicator—indicators indicate and the mroe indicators you have, the more confirmation you may find...all to say, don't just rely on any one "holy grail" indicator.
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool)
📄 Description:
This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure.
Features:
• Draws a box around the first 18 bars of the RTH session
• Displays the total range as a label (optional)
• Fully customizable box color and transparency
Intended Use:
This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session.
Tight opening range may suggest range expansion
Wide opening range may indicate reduced movement or reversal risk
This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
[GalihRidha] Scalping Dashboard 5m Scalping Dashboard 5m is a practical, real-time, and user-friendly indicator designed for 5-minute intraday scalping strategies. This indicator provides clear, actionable signals along with dynamic risk management levels, all visualized in a single vertical dashboard on your chart.
Key Features:
Actionable Next Signal:
Generates a strong, easy-to-follow trading signal ("LONG" or "SHORT") every 5 minutes, based on a multi-factor algorithm (MA20/MA50 trend, RSI, price/volume strength, candle momentum, and market structure).
Dynamic TP/SL Calculation:
Automatically displays recommended Take Profit (TP) and Stop Loss (SL) price ranges, calculated from recent price action, support/resistance, and volatility (ATR).
Vertical Dashboard Layout:
Information is neatly split between "LAST SECTION" (your most recent executed signal, TP, and SL) and "NEXT SECTION" (real-time signal, recommended TP/SL, and current price). Perfectly formatted for both desktop and mobile TradingView use.
Live "Capturing" Status:
When a new signal is forming (1 minute before candle close), the dashboard shows an animated "Capturing..." status—so you always know when the indicator is preparing the next actionable trade.
Buffered Signal Logic:
Prevents “signal repainting” by ensuring that your "Last Signal" and TP/SL levels are exactly what was shown in the previous Next Signal, never the recalculated value from a new bar. This is vital for honest backtesting and live trade confidence.
Zero Lag, Mobile Ready:
Designed to be lightweight and responsive, with instant dashboard updates and no visual lag—even on slower connections or when switching timeframes.
No repaint, no lagging, pure price action + volatility logic.
How to Use:
Add to Chart
Apply the indicator to any liquid crypto or forex pair on the 5-minute (5m) timeframe.
Watch the Dashboard
1 minute before the close of each 5-minute candle, the "Next Signal" section will activate.
"Capturing..." status (with animated dots) means a new entry signal is forming.
Use the suggested Entry, TP Range, and SL for your scalping strategy.
Follow the Signal
When "Next Signal" appears, you have 1 minute to enter the trade if desired.
After the signal passes, the values are locked into the "Last Section" for reference, record-keeping, or trade management.
Mobile Friendly
The vertical format ensures the dashboard is always visible and readable on both web and mobile versions of TradingView.
No need to manually refresh or guess when a new signal is forming—just watch for "Capturing..."!
Best Practice & Tips:
For best results, use on trending or high-volume assets. Avoid low liquidity or choppy sideways markets.
Combine with your own risk management and execution strategy for maximum performance.
This dashboard is 100% Pine Script v5, fully open-source, and does not repaint. You can customize TP/SL logic or integrate with alerts for even more automation.
Why This Indicator?
Most scalping indicators provide signals, but don't show you the real, actionable context—especially in mobile or fast-moving markets.
This dashboard solves that problem by giving you everything you need for quick, clear, and confident trading—all in one place, with true buffer logic so your entries and results are always honest and reproducible.
Happy scalping and stay disciplined—let the dashboard do the heavy lifting for you! 🚀
XAUUSD M5 Pullback BUYSELL/TPSL [Condark]English: Input Settings Explanation
Strategy Settings (การตั้งค่ากลยุทธ์)
Timeframe คุมเทรนด์ (Trend Control Timeframe): The higher timeframe used to determine the main trend direction. Default is "15" (15 minutes).
EMA Length (EMA Length for Trend): The length of the Exponential Moving Average on the higher timeframe. A higher value means a slower, more stable trend line. Default is 50.
EMA สำหรับ Pullback (M5) (EMA for Pullback): The length of the EMA on the current chart (M5) that the price is expected to pull back to. Default is 21.
TDI Settings (การตั้งค่า TDI)
RSI Period: The lookback period for the RSI calculation, which forms the basis of the TDI's green line. Default is 13.
Signal Line Period (เส้นแดง): The period for the Simple Moving Average of the RSI line, creating the TDI's red "Signal Line". Default is 7.
Additional Filters Settings (การตั้งค่า Filters เพิ่มเติม)
เปิด/ปิด Proximity Filter (Enable/Disable Proximity Filter): A switch to turn the filter on or off. When on, it only allows trades that occur close to the higher timeframe's EMA.
ระยะห่างที่ยอมรับได้ (ATR Multiplier) (Acceptable Distance): Defines "how close" the entry must be to the M15 EMA. The distance is calculated as this number multiplied by the current ATR value. A smaller number means the entry must be very close. Default is 2.5.
เปิด/ปิด ADX/DI Filter (Enable/Disable ADX/DI Filter): A switch to turn the trend strength filter on or off.
ADX Trend Level (ต้องสูงกว่า): The minimum ADX value required to consider the market as "trending". A trade will only be taken if the ADX is above this level. Default is 20.
เปิด/ปิด ATR Volatility Filter (Enable/Disable ATR Volatility Filter): A switch to turn the volatility filter on or off. When on, it prevents trades if the market volatility is too low. Default is off.
ATR Filter MA Length: The period for the moving average of the ATR. A trade is only allowed if the current ATR is higher than its moving average.
TP/SL Settings (การตั้งค่า TP/SL)
ATR Length: The lookback period for the Average True Range (ATR) calculation, used to determine the size of the TP and SL. Default is 14.
ตัวคูณ Stop Loss (จาก ATR) (Stop Loss Multiplier): This number is multiplied by the ATR value to set the Stop Loss distance from the entry price. Default is 1.5.
ตัวคูณ Take Profit (จาก ATR) (Take Profit Multiplier): This number is multiplied by the ATR value to set the Take Profit distance from the entry price. Default is 2.5.
Table Settings (การตั้งค่าตาราง)
ตำแหน่งตาราง (Table Position): Allows you to choose where the performance summary table is displayed on the chart (e.g., top-right, bottom-left).
ภาษาไทย: คำอธิบายการตั้งค่า (Settings)
การตั้งค่ากลยุทธ์ (Strategy Settings)
Timeframe คุมเทรนด์: ไทม์เฟรมที่ใช้ในการกำหนดทิศทางของเทรนด์หลัก ค่าเริ่มต้นคือ "15" (15 นาที)
EMA Length: ความยาวของเส้น EMA ในไทม์เฟรมที่ใช้คุมเทรนด์ ยิ่งค่ามากเส้นเทรนด์จะยิ่งช้าและนิ่งขึ้น ค่าเริ่มต้นคือ 50
EMA สำหรับ Pullback (M5): ความยาวของเส้น EMA ในกราฟปัจจุบัน (M5) ซึ่งเป็นเส้นที่คาดหวังให้ราคาย่อตัวกลับมาหา ค่าเริ่มต้นคือ 21
การตั้งค่า TDI (TDI Settings)
RSI Period: จำนวนแท่งเทียนย้อนหลังที่ใช้ในการคำนวณ RSI ซึ่งเป็นพื้นฐานของเส้นสีเขียวใน TDI ค่าเริ่มต้นคือ 13
Signal Line Period (เส้นแดง): จำนวนแท่งเทียนที่ใช้ในการคำนวณเส้นค่าเฉลี่ย (SMA) ของ RSI เพื่อสร้างเป็นเส้น Signal Line (สีแดง) ของ TDI ค่าเริ่มต้นคือ 7
การตั้งค่า Filters เพิ่มเติม (Additional Filters Settings)
เปิด/ปิด Proximity Filter: ปุ่มสำหรับเปิดหรือปิดฟิลเตอร์ เมื่อเปิดใช้งาน จะอนุญาตให้เทรดเฉพาะเมื่อจุดเข้าอยู่ใกล้กับเส้น EMA ของ M15 เท่านั้น
ระยะห่างที่ยอมรับได้ (ATR Multiplier): กำหนดว่าจุดเข้าต้อง "ใกล้แค่ไหน" กับเส้น EMA M15 โดยระยะห่างจะคำนวณจากค่านี้คูณกับค่า ATR ปัจจุบัน ยิ่งค่าน้อยแปลว่าต้องยิ่งใกล้มาก ค่าเริ่มต้นคือ 2.5
เปิด/ปิด ADX/DI Filter: ปุ่มสำหรับเปิดหรือปิดฟิลเตอร์ความแรงของเทรนด์
ADX Trend Level (ต้องสูงกว่า): ค่า ADX ขั้นต่ำที่บ่งบอกว่าตลาดกำลัง "มีเทรนด์" การเทรดจะเกิดขึ้นต่อเมื่อค่า ADX สูงกว่าระดับนี้ ค่าเริ่มต้นคือ 20
เปิด/ปิด ATR Volatility Filter: ปุ่มสำหรับเปิดหรือปิดฟิลเตอร์ความผันผวน เมื่อเปิดใช้งาน จะป้องกันการเทรดหากตลาดมีความผันผวนต่ำเกินไป (ค่าเริ่มต้นคือปิด)
ATR Filter MA Length: จำนวนแท่งเทียนที่ใช้คำนวณเส้นค่าเฉลี่ยของ ATR การเทรดจะเกิดขึ้นต่อเมื่อค่า ATR ปัจจุบันสูงกว่าค่าเฉลี่ยของมัน
การตั้งค่า TP/SL (TP/SL Settings)
ATR Length: จำนวนแท่งเทียนย้อนหลังที่ใช้ในการคำนวณ Average True Range (ATR) เพื่อนำไปกำหนดขนาดของ TP และ SL ค่าเริ่มต้นคือ 14
ตัวคูณ Stop Loss (จาก ATR): ตัวเลขนี้จะถูกนำไปคูณกับค่า ATR เพื่อกำหนดระยะ Stop Loss จากราคาเข้า ค่าเริ่มต้นคือ 1.5
ตัวคูณ Take Profit (จาก ATR): ตัวเลขนี้จะถูกนำไปคูณกับค่า ATR เพื่อกำหนดระยะ Take Profit จากราคาเข้า ค่าเริ่มต้นคือ 2.5
การตั้งค่าตาราง (Table Settings)
ตำแหน่งตาราง: ให้คุณสามารถเลือกตำแหน่งที่จะแสดงตารางสรุปผลการดำเนินงานบนหน้าจอได้ (เช่น มุมบนขวา, มุมล่างซ้าย)
EMA TableSimple price vs. EMA state table describing where price resides relative to the 20, 50, 100, 200 EMA bands
FoundryFutures - Multi-Timeframe Vwap and Prior ValueMulti-Timeframe VWAP with Previous Session Volume Profile Value Areas
Overview
This indicator combines Volume Weighted Average Price (VWAP) analysis with previous session’s Volume Profile Value Areas, helping traders identify key institutional price levels and important market structure zones. It shows both the current period VWAP and the prior period’s value area levels, creating a robust framework for recognizing potential support and resistance.
🔑 Key Features
1. Multi-Timeframe VWAP
Calculates real-time VWAP for the current period across multiple timeframes: Hourly, 4-Hour, Daily, 2-Day, 3-Day, Weekly, Monthly, Quarterly, and Yearly.
Dynamic color-coding based on VWAP slope to visualize trend direction.
Displays the previous period’s closing VWAP as a static reference.
2. Standard Deviation Bands
Includes up to three customizable deviation levels for current VWAP.
Plots both current period bands and previous period’s closing deviation levels.
Optional fill between bands for enhanced visual context.
Upper band extensions available for deeper analysis.
3. Previous Session Volume Profile Value Areas
Plots previous session’s value areas on the current chart.
Includes Previous Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) — representing where the most volume traded.
Historical levels often act as key support or resistance in the current period.
Adjustable value area percentage (default is 70%).
4. Visual Enhancements
Color-coded fills show when price is above/below previous value areas.
Imbalance zones highlighted between current price and historical levels.
Flexible line styles, colors, and transparency options.
Optional labels with clear prefixes (e.g., PD- for Prior Day, PW- for Prior Week).
5. Alert Functionality
All previous session levels are available in the alerts menu.
Set alerts for price approaching or crossing prior value areas.
Monitor interactions with previous session POC or value edges.
📌 Use Cases
Gap Analysis: Spot overnight or weekend gaps relative to prior value areas. Watch for acceptance or rejection back into prior value zones.
Opening Range Trading: Assess strength/weakness at open vs. previous session’s levels. Trade breakouts or fades around previous VAH/VAL.
Continuation vs. Reversal: Holding above previous VAH suggests continuation; failure at VAL can imply reversal risk. POC often acts as a magnet.
Risk Management: Prior value edges provide logical stop/target zones. Use prior POC as a target for mean reversion strategies.
⚙️ How It Works
The script continuously calculates the current VWAP and overlays previous period’s volume profile levels:
Daily chart: Shows yesterday’s value area and POC.
Weekly chart: Shows last week’s value area and POC.
Monthly chart: Shows previous month’s levels.
This gives traders context on where the bulk of volume traded historically, helping assess real support/resistance built on actual activity.
🛠️ Settings Groups
VWAP Settings: Timeframe, deviation bands.
Color Settings: Full color and line style control.
Value Area Settings: Styling and extensions for prior levels.
Label Settings: Clear identification of levels with prefixes.
✅ Best Practices
Use previous daily levels for intraday trading.
Use previous weekly levels for swing setups.
Use previous monthly levels for longer-term positioning.
Look for confluence between multiple timeframe levels.
This indicator helps bridge real-time VWAP flows with historical volume profile zones — giving traders context for where institutional positioning may remain influential.
⚠️ Disclaimer
This script is provided as-is for educational and informational purposes only. Neither FoundryFutures nor the author(s) of this code accept any liability for financial losses or damages resulting from its use. Trading involves substantial risk and is not suitable for every investor. Always do your own research and consult a qualified financial advisor before making any trading decisions.
Price Range Tracker by smaThis tool plots dynamic zones based on recent price extremes and midpoint levels. It tracks the highest, lowest, and average price over a customizable period, helping traders identify key reference zones for potential reaction or balance.
Each level is updated in real-time and displayed with optional percentage labels relative to the current price. The lines and label colors can be fully customized for visual clarity.
—
Note: The internal logic is proprietary and not publicly disclosed.
BskLAB - Money Flow X🧠 BskLAB – Money Flow X | Full Usage Guide & Description
BskLAB – Money Flow X is a professional-grade volume analysis tool featuring two core modes designed to detect market pressure, momentum, and divergence with precision. When used alongside BskLAB Signal Assistant, it provides powerful volume-based confirmation to enhance signal quality.
🔧 Preset Modes Overview
📊 Mode 1: Money Flow (WaveTrend + Divergence)
This mode uses a custom WaveTrend oscillator to reflect momentum from buying/selling pressure, along with automatic divergence detection. It starts by calculating the average price from and filters through the EMA and SMA to create WT1 and WT2.
Key Features:Dual WaveTrend lines (WT1 & WT2) with crossover signals
Visual display of overbought / oversold zones
Automatic divergence detection:
🟢 Green = Classic Bullish Divergence
🔴 Red = Classic Bearish Divergence
🔵 Blue = Hidden Bullish Divergence
🟠 Orange = Hidden Bearish Divergence
Best Used For:
Identifying early reversals and exhaustion zones during high or low volatility phases.
🚀 Mode 2: Volume Momentum (Dynamic Histogram)
This mode displays volume-driven pressure using histogram bars that expand or contract with momentum. It calculates PercentB (%B) from Bollinger Band behavior to reflect how far price stretches away from its recent average range.
Key Features:Histogram expands with growing momentum
Dynamic bar coloring:
🔴 Red = selling pressure emerges
⚪ White = buying pressure emerges
Uses %B from Bollinger Band for calculation
Best Used For:
Confirming strong directional moves or identifying momentum buildup or fade — especially when price moves far from the average.
🔬 Internal Logic Breakdown (Main WT & Money Flow)
✅ 1. WaveTrend System (WT1 & WT2)
WT1 = Fast line (short-term momentum)
WT2 = Trend filter (slower)
Derived from (H+L+C)/3 with EMA and SMA smoothing
Color Logic:
🔼 WT1 crosses above WT2 → Cyan (Bullish Momentum)
🔽 WT1 crosses below WT2 → White (Bearish Momentum)
Zero Line Behavior:
Above 0 = strong uptrend confirmation
Below 0 = strong downtrend confirmation
✅ 2. Money Flow Line (MF Line)
Measures volume pressure based on price vs. long-period EMA
Displayed as an area plot underneath
Color Logic:
🔵 Light Cyan = Buying pressure emerging
⚪ Light White = Selling pressure emerging
Color dynamically changes based on volume shifts
Signal Strategy:
WT1 crossover + Cyan MF = Buy Confirmation
WT1 crossover + White MF = Sell Confirmation
Mismatched signals = caution advised
🧩 Designed to Pair with BskLAB – Signal Assistant
BskLAB – Money Flow X works best when used alongside 👉 BskLAB – Signals Assistant
Both tools are designed to complement each other:
Signals Assistant provides structural and momentum-based trade entries
Money Flow X confirms whether real buy/sell volume supports those entries
✅ How to Use Together:
Wait for a Buy/Sell signal from Signal Assistant
Confirm with:
WT crossover + MF color (Money Flow mode)
Histogram color shift (Volume Momentum mode)
✅ Money Flow X acts as the official volume confirmation layer within the BskLAB system to reduce false signals and improve decision-making confidence.
⚙️ Customization Options
Volume Length (for Volume Momentum)
WT Smoothing (for Money Flow)
Toggle Classic / Hidden Divergences
🔶 CONCLUSION
BskLAB – Money Flow X isn’t just another indicator — it’s a decision-making support system designed to uncover the truth behind price movements.
It helps traders gain clarity during uncertainty, separate strong signals from noise, and develop a systematic approach to entries.
By combining oscillator-based momentum + volume behavior + divergences, this tool becomes essential for traders who prioritize execution accuracy in real-world conditions.
🔶 RISK DISCLAIMER
Trading involves high risk and is not suitable for everyone. All tools, scripts, and content provided by BskLAB are for educational purposes only and do not constitute financial advice.
Past results do not guarantee future performance — trade responsibly.
TMIVIPThe TMIVIP indicator is a custom trading signal generator that combines Bollinger Bands with a 66-period Exponential Moving Average (EMA) to identify high-probability buy and sell opportunities. This indicator is designed to detect mean-reversion signals when price action sweeps beyond Bollinger Band boundaries and recovers, while confirming trend direction using the 66 EMA filter
Switch Up MethodICT Opening Price Line
This indicator plots horizontal lines at the New York opening prices for three specific times of day:
00:00 (midnight), 10:00 AM, and 18:00 (6:00 PM).
These times are commonly referenced in ICT (Inner Circle Trader) trading concepts to identify important market levels.
Key Features
* Allows the user to enable or disable plotting for each of the three times.
* Option to prevent showing the previous day's line if today's opening time has not occurred yet.
* Lines can be labeled with custom color and formatting options.
* Users can choose line style (solid, dotted, dashed), width, and how far the line should extend into the future.
* Each opening time line has its own customizable color.
How It Works
At the selected New York times, the script captures the opening price and draws a horizontal line from that point forward based on the user-defined number of bars.
Labels appear at the right end of each line if enabled.
The lines automatically reset each day and only display once the target time has occurred.
WMA(10) Momentum Indicatorshows wma momentum. work in progress. Attempts to capture mementum changes and confirm current trend direction. i will be expanding on this.
Session Overlay - FXMontys dual session overlayDeveloped by FX Monty
This indicator was created for traders who want a cleaner, more structured way to mark their session highs and lows, as well as lower time frame supply and demand zones using volume-based analysis.
🔹 What This Indicator Is For
Designed to complement both the Core Sessions and CM Sessions indicators.
Helps identify key trading sessions: Asia, London, and New York.
Supports traders who blend session structure, liquidity, and LTF price action for more precise setups.
📌 How to Use
Marking Highs & Lows:
Use the Core Sessions Indicator to mark session highs and lows. You can use either a box or a horizontal ray — whichever gives the cleanest visual.
Supply & Demand Zones (LTF):
Use the CM Sessions Indicator for marking LTF supply and demand zones within a session.
➤ Don’t forget to adjust your session times manually, especially for daylight savings.
High/Low of Day (HOD/LOD):
Use the 5-minute timeframe on the CM Sessions chart to mark the day’s highs and lows.
✘ Exclude the Asia session from this when evaluating HOD/LOD.
🧠 Strategy Background
This indicator is rooted in two powerful trading methodologies from my mentors:
TJR's Liquidity Concepts – Which influence how we frame session-based liquidity using the Core Sessions logic.
JordanFX's Session-Based Approach – The inspiration for using session structuring for lower time frame entries.
💙 Rest in peace, Jordan. This is for you.
This tool is part of my personal workflow, and I built it to make complex setups easier to visualize and act on. I hope it provides you with clarity, structure, and confidence in your trades.
Happy trading,
— FX Monty
Angles and DerivativesAngles and Derivatives
Calculates and plots three smoothed angular derivatives of a chosen price or indicator series.
Inputs:
Source series (EMA, SMA, WMA, VWMA, HMA, RSI, CCI, ATR, CMO, ROC)
Period length (integer)
BskLAB - Signals Assistant 🧠 BSKLab Signal Assistant – Full Description & Usage Guide
BSKLab Signal Assistant is a multi-strategy signal framework developed for traders seeking precise, filtered entries across different market conditions. Rather than being a simple combination of classic indicators, this script integrates custom-built tools and dynamic overlays that work synergistically to improve signal quality and reduce false entries.
It offers two distinct modes — Swing and Following — each designed with its own core logic, ensuring flexibility for traders whether they focus on reversals or trend-following strategies.
🌀 Mode 1: Swing (Reversal-Based Entries)
Objective: Detect price exhaustion and reversal zones.
This mode uses a custom TMA-based dynamic zone system (“Zone Style”) to define potential reversal areas. When price breaks below/above this zone and the Bollinger Band boundary, it suggests overextension. A confirmation from SuperTrend ensures that the price is not just bouncing but showing true directional momentum.
📌 Why this combination?
Each component plays a role:
Zone Style = defines reversal structure dynamically based on recent volatility.
Bollinger Bands = detects price extremes (OB/OS).
SuperTrend = filters noise with momentum confirmation.
🟢 Buy Logic:
Price closes below Zone Style and lower Bollinger Band
Then rebounds upward
SuperTrend shifts to bullish
🔴 Sell Logic:
Price closes above Zone Style and upper Bollinger Band
Then reverses down
SuperTrend shifts to bearish
✅ This helps traders avoid false breakouts or fake reversals in ranging markets.
Enhancing Swing Trade Accuracy with BSKLab - MoneyFlow X (Volume Momentum)
In Swing Trading Mode, we aim to catch price reversals after the market moves beyond extreme zones (TMA-based support/resistance). To avoid premature entries or false reversals, it’s highly recommended to confirm signals using BSKLab - MoneyFlow X in Volume Momentum mode.
📈 Mode 2: Following (Trend-Following System)
Objective: Trade only in the direction of the dominant market trend.
This mode replaces the reversal logic with a trend-filtering mechanism using BskLAB Cloud, a custom-modified version of Ichimoku Cloud. It scores trend strength using ATR-multiplied zones and offers 3 levels of confirmation strictness (Lv1–Lv3).
📌 Why this combination?
BskLAB Cloud provides a structured, flexible trend confirmation.
Bollinger Bands help detect entries during trend pullbacks or breakouts.
SuperTrend (optional) supports directional momentum validation.
🟢 Buy Logic:
Cloud confirms bullish trend (based on level)
Price breaks above Bollinger Band midline or upper zone
Entry is allowed only in the direction of the trend
🔴 Sell Logic:
Cloud confirms bearish trend
Price breaks below midline or lower Bollinger Band zone
✅ Perfect for momentum traders who want to stay in the direction of trend and avoid early reversals.
Advanced Confirmation with Volume Momentum (BSKLab - MoneyFlow X)
Improving Trend Signal Accuracy with BSKLab - MoneyFlow X
To increase confidence in each entry, we recommend using this trend-following mode together with the
BSKLab - MoneyFlow X indicator, set to Volume Momentum mode.
✅ How to use together:
Wait for a valid Buy/Sell signal from the Trend-Following Mode
Check volume reaction on MoneyFlow X:
🟢 Strong green spike = bullish momentum = confirms Buy
🔴 Strong red spike = bearish momentum = confirms Sell
🧩 Component Breakdown & Why They Work Together
📍 Zone Style (TMA + ATR Overlay)
A custom dynamic support/resistance zone using Triangular Moving Average with ATR-based width adjustment. It expands or contracts based on market volatility — making reversal zones adaptive to current conditions.
Prevents entries when price is in the middle of a range
Acts as a volatility filter, removing "weak" signals
☁️ BskLAB Cloud (Custom Ichimoku)
A custom trend engine adapted from Ichimoku Cloud. Uses ATR-weighted midlines to define trend strength with 3 adjustable strictness levels.
Used only in Following Mode
Avoids trendless/noise zones
Helps traders stay aligned with the macro trend
📊 Bollinger Band Behavior
Used in all modes, but especially in Swing and following, to detect overbought/oversold zones.
Provides clear statistical boundaries
Combines well with SuperTrend to detect exhaustion
✅ SuperTrend Confirmation
A momentum-based filter using ATR-based trailing stop logic.
Filters fake reversals
Confirms breakout direction
Used across all modes for high-accuracy entries
🔥 BSKLab Signal Assistant isn’t just another mashup of public indicators — it’s a purpose-built trading framework crafted for real market conditions.
Instead of throwing signals on every move, it combines structure, momentum, volatility, and trend filters to deliver clean, high-conviction entries.
📍 RISK DISCLAIMER
Trading involves significant risk and is not suitable for everyone. All tools, scripts, and educational materials provided by BSKLab are for informational and educational purposes only. We do not offer financial advice.
Past performance does not guarantee future results. Always trade responsibly
📍 CONCLUSION
At BSKLab, we believe that consistent trading success doesn't come from indicators alone — it comes from the trader’s ability to apply them with context, discipline, and understanding. Tools are only as powerful as the hands they’re in.
The goal of the BSKLab Signal Assistant is not to provide magic signals, but to empower traders with a clean, adaptive, and intelligent framework that helps identify high-probability opportunities while filtering out the noise.
Whether you’re a beginner or experienced trader, this tool is designed to support real decisions in real markets — not just theory.
You can request access below to join the BSKLab system and unlock our full trading suite.
Gaussian Volatility Adjusted Key Features:Gaussian Smoothing: Applies a Gaussian filter to smooth price data (based on EMA or raw close prices), reducing noise while preserving trend information.
Volatility Adjustment: Uses ATR and standard deviation to create dynamic upper and lower bands around the smoothed price, adapting to market volatility.
Trend Detection: Identifies bullish (price above lower band) or bearish (price below upper band) trends, with additional confirmation using standard deviation thresholds.
Momentum Analysis: Measures momentum by calculating the price difference from key levels (upper band for bullish, Gaussian + standard deviation for bearish).
EMA Confluence: Optionally integrates an EMA of the momentum difference to confirm trend signals, enhancing accuracy.
Visual Output: Plots a zero line and an EMA line colored green (bullish) or red (bearish), with bar coloring to visually indicate trend direction.
Flush with MOMOThe Flush indicator highlights the possible turn of the market cyclical distribution , when a flush takes places within a pinzone there is a higher probability of the arrival of an informed trader. It can lead to a turn in price and if the flush fails it is also a high probability trade to buy/sell for continuation of the market cycle extending.
It is best to use this indicator with the spectrometer to fully understand the concept and to verify the flush as the flush has multiple nuances which can not be coded due to situational differences.
The momentum paddles of the indicator are based on 2 candle pullback which has failed to turn the gaussian cycle so it is unlikely that the price will keep turning so the continuation of the previous move is more probable.
You can change the timeframe of the indicator to track different time frame signals if desired.
Staccked SMA - Regime Switching & Persistance StatisticsThis indicator is designed to identify the prevailing market regime by analyzing the behavior of a "stack" of Simple Moving Averages (SMAs). It helps you understand whether the market is currently trending, mean-reverting, or moving randomly.
Core Concept: SMA Correlation
At its heart, the indicator examines the relationship between a set of nine SMAs with different lengths (3, 5, 8, 13, 21, 34, 55, 89, 144) and the lengths themselves.
In a strong trending market (either up or down), the SMAs will be neatly "stacked" in order of their length. The shortest SMA will be furthest from the longest SMA, creating a strong, almost linear visual pattern. When we measure the statistical correlation between the SMA values and their corresponding lengths, we get a value close to +1 (perfect uptrend stack) or -1 (perfect downtrend stack). The absolute value of this correlation will be very high (close to 1).
In a mean-reverting or sideways market, the SMAs will be tangled and crisscrossing each other. There is no clear order, and the relationship between an SMA's length and its price value is weak. The correlation will be close to 0.
This indicator calculates this Pearson correlation on every bar, giving a continuous measure of how ordered or "trendy" the SMAs are. An absolute correlation above 0.8 is considered strongly trending, while a value between 0.4 and 0.8 suggests a mean-reverting character. Below 0.4, the market is likely random or choppy.
Regime Classification and Statistics
The indicator doesn't just look at the current correlation; it analyzes its behavior over a user-defined lookback window (default is 252 bars) to classify the overall market "regime."
It presents its findings in a clear table:
📊 |SMA Correlation| Regime Table: This main table provides a snapshot of the current market character.
Median: Shows the median absolute correlation over the lookback period, giving a central tendency of the market's behavior.
% > 0.80: The percentage of time the market was in a strong trend during the lookback period.
% < 0.80 & > 0.40: The percentage of time the market showed mean-reverting characteristics.
🧠 Regime: The final classification. It's labeled "📈 Trend-Dominant" if the median correlation is high and it has spent a significant portion of the time trending. It's labeled "🔄 Mean-Reverting" if the median is in the middle range and it has spent significant time in that state. Otherwise, it's considered "⚖️ Random/ Choppy".
📐 Regime Significance: This tells you how statistically confident you can be in the current regime classification, using a Z-score to compare its occurrence against random chance. ⭐⭐⭐ indicates high confidence (99%), while "❌ Not Significant" means the pattern could be random.
Regime Transition Probabilities
Optionally, a second table can be displayed that shows the historical probability of the market transitioning from one regime to another over different time horizons (t+5, t+10, t+15, and t+20 bars).
📈 → 🔄 → ⚖️ Transition Table: This table answers questions like, "If the market is trending now (From: 📈), what is the probability it will be mean-reverting (→ 🔄) in 10 bars?"
This provides powerful insights into the market's cyclical nature, helping you anticipate future behavior based on past patterns. For example, you might find that after a period of strong trending, a transition to a choppy state is more likely than a direct switch to a mean-reverting
Indicator Settings
Lookback Window for Regime Classification: This sets the number of recent bars (default is 252) the script analyzes to determine the current market regime (Trending, Mean-Reverting, or Random). A larger number provides a more stable, long-term view, while a smaller number makes the classification more sensitive to recent price action.
Show Regime Transition Table: A simple toggle (on/off) to show or hide the table that displays the probabilities of the market switching from one regime to another.
Lookback Offset for Starting Regime: This determines the "starting point" in the past for calculating regime transitions. The default is 20 bars ago. The script looks at the regime at this point and then checks what it became at later points.
Step 1, 2, 3, 4 Offset (bars): These define the future time intervals (5, 10, 15, and 20 bars by default) for the transition probability table. For example, the script checks the regime at the "Lookback Offset" and then sees what it transitioned to 5, 10, 15, and 20 bars later.
Significance Filter Settings
Use Regime Significance Filter: When enabled, this filter ensures that the regime transition statistics only count transitions that were "statistically significant." This helps to filter out noise and focus on more reliable patterns.
Min Stars Required (1=90%, 2=95%, 3=99%): This sets the minimum confidence level required for a regime to be included in the transition statistics when the significance filter is on.
1 ⭐: Requires at least 90% confidence.
2 ⭐⭐: Requires at least 95% confidence (default).
3 ⭐⭐⭐: Requires at least 99% confidence.
Enhanced Market Structure (Advanced)Enhanced Market Structure Indicator (Advanced)
A multi-timeframe price action framework for structural visualization and liquidity mapping.
The Enhanced Market Structure Indicator (Advanced) is a custom-built tool designed to support traders in analyzing market structure using a multi-timeframe perspective. Rooted in the logic of widely known price action concepts, including those taught by ICT, this indicator simplifies the process of identifying structural shifts, liquidity grabs, and zone-based behavior across major timeframes like the 4H and Daily.
It is not a signal generator or entry tool. Its purpose is to visually assist with directional bias, market structure interpretation, and liquidity mapping, helping traders develop a clearer narrative for their setups.
🧠 Core Framework & Mashup Justification
This indicator incorporates a zigzag-like structural detection algorithm, enabling it to map swing highs/lows and identify significant breaks in market structure. It uses custom in-house logic to detect displacement and liquidity sweeps, with additional optional features powered by:
Fibonacci retracement levels (50%, 61.8%, 71.8%)
Custom zone generation logic
Multi-timeframe visualization controls
All mashups serve a clear functional purpose and are not presented as standalone indicators. The zigzag-style logic is used to enhance structural clarity — not to generate trade signals.
📊 What the Script Shows:
Breaks of Structure (BOS) and Change of Character (CHOCH)
Liquidity Sweeps via visual markers (💰/🔒)
Bullish/Bearish Entry Zones based on displacement logic
Rejection Labels for wick-based rejections of structure
Internal, External, and Microstructure levels
Directional bias through visual narrative of market behavior
Optional Fibonacci overlays on structural legs
This framework provides a structured, clean way to observe how price interacts with institutional-style concepts over time.
⚙️ SETTINGS OVERVIEW
🔧 Main Settings
Pivot Period – Controls sensitivity of swing point detection. Lower = more reactive/noisy; Higher = smoother/cleaner structure.
Extend Zones – Sets how far structural zones extend across the chart (0 = no extension; higher = more forward visibility).
Display Pivot Types – Choose to show All, External Only, or Internal Only structure.
🎯 Entry Zone Settings
Enable Entry Zones – Toggle primary bullish/bearish zone display
Zone Frequency
High = 50% retracement
Medium = 61.8%
Low = 71.8%
Customize Colors – Set Bullish and Bearish zone colors
🔂 Internal Entry Zones
Same logic as above, but applied to internal structure
Toggle visibility, adjust zone frequency, and customize bullish/bearish colors separately
🟢 Entry Arrows
Show/hide Entry Arrows that appear when price touches a zone
Separate toggles and color options for:
Bullish / Bearish Entry Arrows
Internal Bullish / Bearish Entry Arrows
Note: These arrows are not signals — they are contact markers only
🧱 Structure Color Settings
Customize colors for:
External Structure
Internal Structure
Microstructure
📈 BOS & CHOCH Line Settings
Bullish:
Show/hide Bullish BOS lines and Bullish CHOCH lines
Customize line colors
Bearish:
Show/hide Bearish BOS lines and Bearish CHOCH lines
Customize line colors
🚫 Rejection Labels
Toggle Rejection Labels on/off
These labels appear when price wicks into and rejects BOS or CHOCH zones
Customize rejection label color
🧠 Analysis Timeframe Settings
Choose the timeframe used for structural analysis
Example: Run Daily structure while viewing on 1H
Options include 1m, 5m, 4H, etc.
📐 Fibonacci Settings
Toggle Fibonacci lines on/off
Fib levels drawn from displacement legs
Uses 50%, 61.8%, and 71.8% retracements for zone generation
🧾 Final Notes & Disclaimer
This tool was built to provide a high-level, rule-based visualization of price action structure across multiple timeframes. While inspired by ICT concepts, it is not affiliated with any individual or mentorship and does not promise trade outcomes. It is not an automated signal generator.
Instead, it is designed to help traders develop narrative bias, contextualize price action, and frame market behavior through a structured lens — incorporating internal, external, and microstructural perspectives.
✅ Compliance Statement
This indicator:
Uses built-in logic and public tools (ZigZag-style swing detection, Fib levels) in a justified, original way
Does not generate signals or predictions
Is invite-only and intended for educational and discretionary use
Meets all TradingView house rules for mashup justification, originality, and clarity
