Gold vs DXYThe 30-day rolling correlation between Gold (XAU/USD) and the US Dollar Index (DXY) shows how closely the two move together — or more often, in opposite directions — over the last 30 trading days. In most market environments, the relationship is pretty straightforward: when the dollar goes up, gold tends to go down, and vice versa. That’s because gold is priced in dollars, so a stronger dollar makes it more expensive for international buyers, which usually softens demand.
But it’s not always that simple. There are times when this inverse correlation breaks down. For example, if real yields (like the US 10-year yield minus inflation expectations) are rising, that can pressure gold even if the dollar is falling — because higher real returns elsewhere make gold less attractive. Another case is when other currencies, like the euro or yen, rally strongly on their own central bank decisions. This can pull DXY lower without necessarily signaling weakness in the U.S. economy — meaning gold might not benefit much.
There are also “risk-on” moments where investors rotate into equities or crypto, selling off both gold and the dollar in favor of yield or momentum. And during periods of crisis or uncertainty, both gold and the dollar can rise together as safe-haven assets, breaking the usual pattern entirely.
That’s why tracking the rolling correlation is helpful. It shows whether the historical relationship between gold and the dollar is still holding — or if we’re entering a different market regime. It’s not about predicting exact price moves, but about understanding the current backdrop. When gold and DXY are moving out of sync as expected, it can support your trade thesis. But when the correlation flattens or flips, it’s often a sign to dig deeper — macro forces may be shifting.
Cicli
Fib Swing Counter [A@J]Fib Swing Counter — Trade the Rhythm of the Market
This indicator automatically marks swing highs and lows with Fibonacci numbers (1, 1, 2, 3, 5, 8, 13, …), helping you track market structure, count price legs, and identify hidden order behind price movement.
Core Features:
Auto-detects pivots and labels them with the Fibonacci sequence.
Alternates between highs and lows — no repeats, no noise.
Custom reset time — start your count at the New York session open, a major news event, or your own strategic point.
Clean and simple visual display, adaptable to your chart style.
How Traders Use It:
Liquidity cycles: Spot when price is expanding or contracting in Fibonacci-driven waves.
Entry timing: Wait for setups to align with a key Fib count.
Confluence with other tools: Combine with ICT concepts, SMT divergence, supply/demand blocks, or Fibonacci retracements.
Session-based analysis: Restart the sequence everyMarket Open, Midnight, New York or London open to study price behavior from a fresh anchor point.
Whether you're into smart money concepts, price action, or algorithmic patterns, this tool adds a rhythmic layer to your analysis — because markets move with sequence, not randomness.
MB Notes + Custom ATR + EMA✅ MB Notes Panel (Top-Right)
Manually input and display your personal market bias notes:
E-MB, V-MB, and C-MB represent different timeframe-based market biases.
Customizable labels and values let you align your plan across multiple sessions.
Table is visually padded lower on screen for better chart visibility.
✅ Custom ATR Monitor (Bottom-Right)
Track Average True Range (ATR) across two selectable timeframes:
Choose from presets like 5m, 30m, 1H, 4H, Daily, Weekly, etc.
Gives you an instant read on volatility trends from multiple perspectives.
✅ Dynamic Triple MA Overlay
Plot three flexible moving averages with full control:
Set custom length, source (close, high, low, etc.), and type (EMA or SMA) for each.
Time CyclesThese are ICT market time cycles based on the idea that London starts at 3:30am (EST) and continues until 7am. NYAM is then from 7am-11:30am. NYPM from 11:30-4pm. Each of these sessions is broken into 90minute cycles which are also broken into 30minute cycles.
MB Notes + Custom ATR + EMA✅ Features
✅ MB Notes Panel (Top-Right Table):
Manually enter and display your personal market bias notes (E-MB, V-MB, C-MB) directly on the chart. Perfect for keeping directional context or tracking bias across multiple sessions.
✅ Custom ATR Display (Bottom-Right Table):
Displays two ATR values from different timeframes of your choice. Select from a dropdown menu (e.g., 30min, 1H, 4H, Daily) to assess volatility at multiple levels.
✅ Triple MA Overlay:
Includes three fully customizable moving averages:
Choose length, source (close, high, low, etc.), and type (EMA or SMA) for each.
Plots them directly on the price chart for fast trend tracking.
Time Block with Current K-Line TimeTiltle:
Time Block and Current K-line Time
Core Functions:
1. This indicator provides traders with a powerful time analysis tool to help identify key time nodes and market structures. Generally speaking, the duration of a market trend is a time block
2. Multiple time zone support, supporting five major trading time zones: Shanghai, New York, London, Tokyo, and UTC, and adaptive time display in the selected time zone
3. Time block visualization: select the time block length according to the observation period, and draw a separator line at the time block boundary
4. Real-time time display: current K-line detailed time (year/month/day hour: minute week)
5. Future time prediction, the next time block starts at the future dividing line, and the countdown function displays the time to the next block, which is used to assist in judging the remaining duration of the current trend
Usage Scenarios:
Day trading: Identify trading day boundaries (1-day blocks)
Swing trading: Grasp the weekly/monthly time frame conversion (1-week/1-month blocks)
Long-term investment: Observe the annual market cycle (1-year blocks)
Cross-time zone trading: Seamlessly switch between major global trading time zones
——————————————————————————————————————————————————————————
标题：
时间区块与当前K线时间
核心功能：
1. 本指标为交易者提供强大的时间分析工具，帮助识别关键时间节点和市场结构，通常而言，一段行情持续的时间为一个时间区块
2. 多时区支持，支持上海、纽约、伦敦、东京、UTC五大交易时区，自适应所选时区的时间显示
3. 时间区块可视化：根据观测周期选择时间区块长度，在时间区块边界绘制分隔线
4. 实时时间显示：当前K线详细时间（年/月/日 时:分 星期）
5. 未来时间预测，下一个时间区块开始位置显示未来分割线，倒计时功能显示距离下个区块的时间，用于辅助判断当前趋势的剩余持续时间
使用场景：
日内交易：识别交易日边界（1日区块）
波段交易：把握周/月时间框架转换（1周/1月区块）
长期投资：观察年度市场周期（1年区块）
跨时区交易：无缝切换全球主要交易时区
Bottom hunterBottom hunter Indicator is a technical analysis tool designed to identify potential low points (bottoms) in the market where price reversals may occur.it detects buy signals when momentum shifts upward from market lows. This helps traders spot high-probability entry points for bullish reversals. The indicator displays clear visual cues on the chart (e.g., green triangles) marking these bottoms, enabling better timing of trades. It is useful for recognizing early reversal zones and improving market entry decisions.
zSph x Larry Waves Wave Degree TimingElliott Waves are fractal structures governed by time. The categorization of time in relation to Elliott Wave is named ‘Wave Degree’.
All waves are characterized by relative size called degree. The degree of a wave is determined by its size and position relative to lesser waves (smaller time and size), corresponding waves (similar time and size) and encompassing waves (greater time and size).
Elliott named 9 degrees (Supercycle – Subminuette).
Elliott also stated the Subminuette degree is discernable on the HOURLY chart.
# Concept
BINANCE:BTCUSDT
Degree is governed by Time yet it is not based upon time lengths (or price lengths), rather it is based on form and structure – a function of both price and time.
The precise degree may not be identified in real time, yet the objective is to be within +/- 1 standard deviation of the expected degree to be aware of the overall market progression.
Understanding degree helps in the identification of when an impulse or a correction is nearing completion and to be aware of the major pivot in price action to occur as a result of the completion of a major expansion or major retracement and be aware of when major pivots in price relating to major expansions and major retracements by managing expectations from a time perspective.
*Important to understand* : If price is currently in a Wave Degree Extension or a Very Complex Correction, the wave degree timings will be distorted (extended in time).
Example: A Cycle typically lasts a few years - yet can last a decade(s) in an Extension.
It’s best to keep the analysis on the Minute/Minuette timeframe to manage timing expectations yet always refer back to the Higher Time Frame Structure.***
# Correct Usage
BEFORE PLACING THE ANCHOR TO DISPLAY ZONES:
Completion of prior wave structure should be completed and there needs to be confirmation the next wave structure is in progression, such as a change in market structure.
Anchor :
Best to anchor on the higher time frame to ensure you always have the anchor point defined when you scale down/move down in the timeframes.
Ensure the anchor point is placed at the termination of a structure/beginning of a new structure (Generally they will be price extremes – extreme highs and lows)
Zones :
Minimum Zones : The minimum amount of time of completion for a single wave structure to complete for a degree.
Average Zones : The average amount of time of completion for a single wave structure to complete for a degree.
Maximum Zones : The general maximum amount of time of completion for a single wave structure to complete for a degree.
Wave Degree Timeframe Analysis :
Higher-Level Degrees (Primary, Intermediate, Minor) - Utilize on H4+ timeframe
Lower-Level Degrees (Minute, Minuette, Subminuette) – Utilize on 15M to H4 timeframe
Micro-Level Degrees (Micro and Submicro) – Utilize on timeframes less than 15M
(There is a chart in the settings you can toggle on/off that reiterates this as well.)
# Settings
Y-Axis Offset :
It is a scale relative to the asset being viewed. Example:
- If using on Bitcoin, Bitcoin moves on average $1,000 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 4 nominal values to offset it correctly to view easier on the chart as needed.
- If using on SP500, SP500 moves on average $50-100 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 2 or 3 nominal values to offset it correctly to view easier on the chart as needed.
Extend :
This option allows to extend lines for the borders of the zones towards price action.
US Macro Indicators (CPI YoY, PPI YoY, Interest Rate)US Macro Indicators (CPI YoY, PPI YoY, Interest Rate)
This indicator overlays the most important US macroeconomic trends for professional traders and analysts:
CPI YoY (%): Tracks year-over-year change in the Consumer Price Index, the main measure of consumer inflation, and a core focus for Federal Reserve policy.
PPI YoY (%): Shows year-over-year change in the Producer Price Index, often a leading indicator for future consumer inflation and margin pressures.
Fed Funds Rate (%): Plots the US benchmark interest rate, reflecting the real-time stance of US monetary policy.
Additional Features:
Key policy thresholds highlighted:
2% (Fed’s formal inflation target)
1.5% (comfort floor)
3% and 4% (upper risk/watch zones for inflation)
Transparent background shading signals elevated inflation zones for quick visual risk assessment.
Works on all asset charts and timeframes (macro data is monthly).
Why use it?
This tool lets you instantly visualize inflation trends versus policy and spot key macro inflection points for equities, FX, and rates. Perfect for anyone applying macro fundamentals to tactical trading and investment decisions.
SessionsSession 10-12 12-16 1630-1830
Including HOD/LOD for different sessions.
Session 10:00 - 12: 00
Session 12:00 - 16:00
Session 16:30 - 18:30
Bitcoin Power Law ModelBitcoin Power Law Model with Cycle Predictions
Scientific Price Modeling for Bitcoin
This indicator implements **Dr. Giovanni Santostasi's Bitcoin Power Law Theory** - a discovery that Bitcoin's price follows mathematical laws similar to natural phenomena. Unlike traditional financial models, this treats Bitcoin as a scale-invariant system that grows predictably over time.
What Makes This Special
Dr. Santostasi, an astrophysicist who studied gravitational waves, discovered that Bitcoin's price forms a perfect straight line when plotted on a log-log scale over its entire 15-year history. This isn't just another technical indicator - it's a fundamental law that has held true through multiple 80%+ crashes and recoveries.
Core Features
Power Law Model
- Orange Line: The power law trajectory showing Bitcoin's long-term growth path
- Yellow Line: Fair value (geometric mean between support and resistance)
- Green/Red Bands: Support and resistance levels that have historically contained price movements
- Band Position %: Shows exactly where price sits within the power law channel (0-100%)
How to Use It
For Long-term Investors
1. Accumulate when price is near the green support line (band position < 20%)
2. Hold when price is between the bands
3. Consider profits when approaching red resistance (band position > 80%)
4. Never panic - the model shows $30K+ is now the permanent floor
Key Metrics to Watch
- **Band Position: <20% = Oversold, >80% = Overbought
- Fair Value: Price above = Overvalued, below = Undervalued
- Support Line: Breaking below suggests model invalidation
Current Cycle Projections
Based on the November 2022 bottom at ~$15,500:
- Cycle Peak: ~$155,000-$230,000 (October 2025)
- Next Bottom: ~$70,000-$100,000 (October 2026)
- Long-term: $1 million by 2033 (power law projection)
Customizable Settings
Model Parameters
- Intercept & Slope: Fine-tune the power law formula
- Band Offsets: Adjust support/resistance distances
Display Options
- Toggle each visual element on/off
- Show/hide future projections
- Enable/disable cycle analysis
- Customize halving markers
Understanding the Math
The model uses the formula: **Price = 10^(A + B × log10(days since genesis))**
Where:
- A = -17.01 (intercept)
- B = 5.82 (slope)
- Days counted from Bitcoin's genesis block (Jan 3, 2009)
This creates parallel support/resistance lines in log-log space that have contained Bitcoin's price for 15+ years.
Important
1.Not Financial Advice: This is a mathematical model, not a guarantee
2. Long-term Focus: Best suited for macro analysis, not day trading
3. Model Limitations: Past performance doesn't ensure future results
4. Volatility Expected: 50-80% drawdowns are normal within the model
Background
Dr. Giovanni Santostasi discovered this model while analyzing Bitcoin through the lens of physics. He found that Bitcoin behaves more like a city or organism than a financial asset, growing according to universal power laws found throughout
9:30 AM Candle MarkerEach day at 9:30 AM, on the 15-minute chart, you’ll see a red vertical line appear exactly on that candle. This makes it super easy to:
Track reactions to market open (if using US stocks).
Anchor your strategy to a consistent time point.
Build routines around a known time.
Bitcoin Stock-to-Flow Model Price Bands# Bitcoin Stock-to-Flow Model Price Bands
Overview
This indicator implements the famous Stock-to-Flow (S2F) model created by PlanB (@100trillionUSD), which uses Bitcoin's scarcity to predict its long-term value. The S2F model has gained significant attention for its historical accuracy in capturing Bitcoin's price movements across multiple market cycles.
What is Stock-to-Flow?
Stock-to-Flow is a ratio that measures scarcity by dividing the current supply (stock) by the annual production (flow). The model suggests that as Bitcoin becomes scarcer through halving events, its value should increase proportionally.
This indicator features:
Dynamic S2F Calculation
- Automatically calculates Bitcoin's current supply based on block height
- Adjusts for halving events (every 210,000 blocks)
- Updates the S2F ratio in real-time
Visual Elements
- Orange Line: S2F model price based on the formula: Price = 0.4 × S2F³
- Confidence Bands: Upper (red) and lower (green) bands showing expected price ranges
- Colored Candles: Green when above model price, red when below
- Info Table: Displays current S2F ratio, model price, actual price, and price multiple
Customizable Parameters
- Model Coefficient: Adjust the multiplier (default: 0.4)
- Model Exponent: Modify the power factor (default: 3.0)
- Band Width: Control confidence band spread (1-5 standard deviations)
- Display Options: Toggle individual elements on/off
Built-in Alerts
- Price crossing above/below S2F model price
- Price exceeding upper/lower confidence bands
How to Use
1. Trend Identification: When price is above the orange S2F line, Bitcoin may be overvalued; below suggests undervaluation
2. Cycle Analysis: The model steps up at each halving, creating distinct price "floors"
3. Risk Management: Use confidence bands to identify extreme deviations from the model
4. Long-term Perspective: Best suited for macro analysis rather than short-term trading
Important to understand:
This is a model, not a guarantee. The S2F model:
- Assumes scarcity is the primary driver of value
- Doesn't account for demand-side factors
- Has shown deviations during certain market conditions
- Should be used alongside other analysis methods
Model Performance
Historically, the S2F model has captured major Bitcoin price movements:
- 2013 Bull Run: Price followed model predictions
- 2017 Peak: Reached model targets
- 2021 Cycle: Initially tracked, then deviated
- 2024-2025: Model suggests $500k-$1M potential
Technical Details
- Uses logarithmic regression similar to the original S2F model
- Accounts for "lost" coins (est. 1M BTC from early mining)
- Implements dynamic supply calculation through halving cycles
- Confidence bands use log-normal distribution
Best Timeframes
- Weekly/Monthly: Ideal for long-term trend analysis
Credits
Based on the Stock-to-Flow model by PlanB (@100trillionUSD)
Original article: "Modeling Bitcoin's Value with Scarcity" (2019)
Yaman’s Scalper Pro V.5Yaman’s Scalper Pro V.5
Overview:
Yaman’s Scalper Pro V.5 is a precision-built scalping indicator designed for fast-paced markets like XAUUSD. It identifies potential short-term trade opportunities using a proprietary momentum-detection engine. The script visually marks trade entries along with clearly defined Take Profit and Stop Loss levels.
Key Features:
Automatically plots Buy/Sell labels on the chart when trade conditions are met
Displays dynamic Entry, TP, and SL levels directly on the chart
Built-in simulation of trade holding duration (configurable in bars)
Clean, minimal visual layout optimized for manual or assisted scalping
User Inputs:
Take Profit (Pips) – Distance to TP in pips
Stop Loss (Pips) – Distance to SL in pips
Hold Bars – Number of bars to simulate holding a trade (not recommended to change)
How to Use:
Apply the indicator to XAUUSD or other volatile assets on lower timeframes (e.g., 1m, 5m)
Look for Buy/Sell labels as trade signals
Use the plotted TP/SL levels to plan your trade exits
This tool can complement your existing trading system or be used as a standalone visual aid
Important Note:
This script is closed-source to protect proprietary entry logic. It is not based on public indicators or simple crossover methods. While the internal mechanics remain private, the visual trade framework and risk management display are fully visible and easy to use.
RRG ZONE ROTATIONINPUT PARAMETER
1.Mimimum NUMBER OF Bars ON CHART TO ON/OFF INDICATOR
2.RRG Data Depth (NUMBER OFF RECENT PAST BAR USED FOR RRG CALCULATION)
3.Bench Mark Index (Default is NIFTY)
RRG ZONE COLOR LEGEND
1.IMPROVING ZONE: BLUE
2.LAGGING ZONE: RED
3.OUTPERFORMING ZONE :GREEN
4.CORRECTION AFTER OUTPERFORMANCE :GRAY
--- I Have RRG ZONE SCANNER TOO to Scan stock in specific RRG ZONE
www.tradingview.com
Liquidity Aggregation MALiquidity Aggregation MA
Designed to assess liquidity conditions by aggregating data from various economic indicators (Fed Liquidity, PBOC Liquidity, Inverse Volatility, and Inverse USD Strength) and visualizing them with moving averages (EMA and SMA). It is tailored for high beta assets like Bitcoin (cryptocurrency).
Key Features:
Liquidity Inputs: Utilizes custom ticker combinations (e.g., FRED:WALCL, ECONOMICS:CNFER) with optional inclusion of Fed Liquidity, PBOC Liquidity, Inverse Volatility (MOVE Index), and Inverse USD Strength (DXY).
Customizable Inputs:
EMA (default 55) and SMA (default 200) lengths.
Plot styles (Wave, Pulse, Classic) with glow effect and wave intensity options.
Strength display mode (Percentage or Absolute) with adjustable max strength thresholds.
Table position, size, and color intensity settings.
Visualization:
EMA and SMA lines with dynamic colors (teal for bullish "RISK ON", magenta for bearish "RISK OFF") based on signal strength.
Fill between lines with transparency adjusting to signal strength.
Wave or pulse effects for enhanced visual feedback.
A table shows the liquidity signal and a 10-block gauge reflecting signal strength.
Candles colored based on the liquidity signal.
Usage:
Helps traders evaluate liquidity-driven market trends across global financial systems.
The signal strength gauge and color intensity indicate the magnitude of the liquidity shift.
Suitable for overlay on a 1-day chart to monitor long-term liquidity impacts, as depicted in the Bitcoin/USD chart.
BskLAB - Price Target 🧠 BskLAB – Price Target™ | Structure-Based Fibonacci Extension Mapping Tool
BskLAB – Price Target™ is a structural analysis tool designed to automate the plotting of Fibonacci extension zones based on real-time shifts in market structure. Using a custom midpoint-based projection method, this indicator helps traders visualize potential target zones without relying on manual drawing or subjective analysis.
It is built to work seamlessly with the BskLAB suite of tools, acting as the zone-defining layer within a broader confluence-based trading workflow.
🔍 Concept & Logic Overview
Unlike traditional Fibonacci tools that require manual high-low selection, this indicator uses an automated projection system tied directly to price structure shifts, such as Break of Structure (BoS) and Change of Character (CHoCH).
Core Workflow:
1.Structure Detection
Automatically identifies BoS and CHoCH patterns based on recent price action, marking significant directional shifts.
2.Swing Point Identification
Once a shift is detected, the indicator finds the nearest swing high and swing low surrounding the event.
3.Midpoint Calculation (Custom Logic)
Instead of projecting from full range, the system calculates a 50% midpoint between swing points. This serves as an anchor for cleaner, more balanced projections.
4.Extension Projection
From the midpoint, the script draws Fibonacci extensions (e.g., 1.2, 1.7, 2.8, 3.5) in the direction of the structure break.
5.Zone Mapping
These levels are displayed as shaded zones — which can serve as areas of interest for potential reactions, target regions, or contextual zones for further analysis.
6.Chart Customization Options
Users can toggle price labels, show/hide BoS or CHoCH selectively, and adjust display settings to maintain chart clarity.
⚠ Fibonacci levels are used here as visual structure-based zones, not fixed price targets or predictive tools. They are intended to support discretionary decision-making.
🧠 Integration in a Structured Workflow
While Price Target™ defines key areas, it is not designed to provide trade signals on its own. For optimal use, it works best when paired with confirmation tools from the BskLAB ecosystem.
Suggested Workflow Example:
Step 1: Observe when price reaches or enters a target extension zone
Step 2: Check for confirmation via momentum or structure (e.g., with Signal Assistant™)
Step 3: Validate volume behavior (e.g., with Money Flow X™)
Step 4: If confluence is present, define entry, stop-loss (outside the zone), and TP (based on structure or zone progression)
This multi-layered approach supports higher-quality discretionary analysis without relying solely on any one signal.
⚙️ Core Features Summary
• ✅ Automated BoS and CHoCH detection
• ✅ Custom midpoint-based Fibonacci projection logic
• ✅ Adjustable zone visibility and label toggles
• ✅ Clean layout designed for integration with other BskLAB tools
• ✅ Extension levels that scale with market structure and volatility
🔗 Intended Use Cases
Price Target™ is best used as a zone definition tool — helping traders highlight areas where price may react based on structural shifts. When combined with:
Signal Assistant™ for structure- and trend-based entry logic
Money Flow X™ for volume and momentum confirmation
…the tools together form a three-step confirmation system:
Zone ➜ Signal ➜ Volume
This layered system supports cleaner entries and greater contextual confidence for discretionary traders.
📍 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 consistent trading success doesn’t come from indicators alone — it comes from the trader’s ability to apply tools with context, discipline, and awareness. Indicators are only as powerful as the hands that use them.
The BSKLab Signal System isn’t designed to provide “magic signals,” but to empower traders with an adaptive, structured, and intelligent approach to identifying real opportunities while filtering out the noise.
Whether you’re a beginner or an experienced trader, our tools are designed to support real-world decisions — not just theory.
➡️ Request access below to join the BSKLab system and unlock the full suite of smart trading tools.
Horizontal Grid from Base PriceSupport & Resistance Indicator function
This inductor is designed to analyze the "resistance line" according to the principle of mother fish technique, with the main purpose of:
• Measure the price swing cycle (Price Swing Cycle)
• analyze the standings of a candle to catch the tempo of the trade
• Used as a decision sponsor in conjunction with Price Action and key zones.
⸻
🛠️ Main features
1. Create Automatic Resistance Boundary
• Based on the open price level of the Day (Initial Session Open) bar.
• It's the main reference point for building a price framework.
2. Set the distance around the resistance line.
• like 100 dots/200 dots/custom
• Provides systematic price tracking (Cycle).
3. Number of lines can be set.
• For example, show 3 lines or more of the top-bottom lines as needed.
4. Customize the color and style of the line.
• The line color can be changed, the line will be in dotted line format according to the user's style.
• Day/night support (Dark/Light Theme)
5. Support for use in conjunction with mother fish techniques.
• Use the line as a base to observe whether the "candle stand above or below the line".
• It is used to help see the behavior of "standing", "loosing", or "flow" of prices on the defensive/resistance line.
6. The default is available immediately.
• The default is based on the current Day bar opening price.
• Round distance, e.g. 200 points, top and bottom, with 3 levels of performance
Timeframe Quadrants | InvrsROBINHOODTimeframe Quadrant Visualizer
Summary
This indicator is a powerful visualization tool designed to help traders analyze price action by dividing various timeframes into four distinct, color-coded quadrants. By breaking down periods from a full year to a single minute, it offers a unique perspective on market cycles and intraday patterns. The script includes fully customizable colors and display styles, allowing you to tailor the visual output to your specific charting needs.
Key Features
Multiple Timeframe Divisions: Choose to divide a Year, Month, Week, Day, Hour, or Minute into four parts.
Customizable Quadrant Logic:
Year: Divided into calendar quarters (Jan-Mar, Apr-Jun, Jul-Sep, Oct-Dec).
Month: Divided into four approximate weeks (Days 1-7, 8-14, 15-21, 22-end).
Week: Divided into four 42-hour blocks, starting from Sunday at 00:00.
Day: Divided into four 6-hour blocks.
Hour: Divided into four 15-minute blocks.
Minute: Divided into four 15-second blocks.
Flexible Display Options: Visualize the quadrants as either a full Background Color overlay or a Bar Overlay that colors the price bars directly.
Timeframe Separators: A vertical line is automatically drawn at the beginning of each selected timeframe (e.g., at the start of each new day when "Day" is selected), making it easy to see where each period begins.
Full Color Customization: All four quadrant colors are user-definable, along with a global transparency setting to ensure the indicator complements your chart without obscuring price action.
Timezone-Aware: All calculations are performed based on a user-selected timezone from a dropdown menu, ensuring accuracy and consistency across different markets and trading sessions. As an added option, there is a manual input if the timezone is not available.
How to Use
Add to Chart: Add the "Timeframe Quadrants" indicator to your chart.
Open Settings: Hover over the indicator's name on your chart and click the Settings (gear) icon.
Configure the Indicator:
Timeframe: Select the primary time period you want to divide (e.g., "Day", "Week", "Hour").
Display Method: Choose whether you want the quadrants to appear as a Background Color or a Bar Overlay.
Timezone: Select the desired timezone from the dropdown menu. This is crucial for aligning the quadrants with specific market sessions (e.g., "America/New_York" for the NYSE session).
Quadrant Colors: Customize the color for each of the four quadrants.
Transparency %: Adjust the transparency of the colors to your preference.
Underlying Concepts
This script operates by using Pine Script's built-in time and date variables. It identifies the current bar's position within the user-selected timeframe (timeframe_choice) and assigns it to one of four quadrants based on pre-defined logic. For example, when "Day" is selected, it uses the hour() function to determine which 6-hour block the current bar falls into. The vertical separator lines are generated by detecting a change in the relevant time unit (e.g., ta.change(dayofmonth)), which marks the first bar of a new period.
Disclaimer: This tool is intended for visual analysis and pattern recognition. It does not generate buy or sell signals and should be used in conjunction with your own trading strategy and risk management. Past performance is not indicative of future results.
Black ArrowExpected Move Levels - Closer Prices
This script calculates and displays the expected move based on Implied Volatility (IV) and Days to Expiration (DTE). It helps traders visualize potential price movement ranges over a defined period using historical close price.
🔹 Key Features:
Customizable IV and DTE inputs
Displays 2 green levels above price and 2 red levels below, representing half and full expected move
Mid-lines between base price and first green/red level
Each level is labeled with its price value
Lines are drawn short and don't extend through the full chart for clarity
📘 Formula:
Expected Move = Price × IV × √(DTE / 365)
Use this tool to estimate market volatility zones and potential price targets without relying on traditional indicators.
Durdens Global M2 Liquidity Tracker🧠 Durdens Global M2 Liquidity Tracker | Bitcoin vs Liquidity, Visualized
If you’re not watching global liquidity, you’re not really trading macro.
This indicator tracks FX-adjusted M2 money supply across 20+ countries, aggregated into a single global liquidity signal. It can then be used to overlay against Bitcoin for timing macro shifts with precision.
🔍 Core Features:
🌐 USD-adjusted M2 from the US, China, Eurozone, UK, Japan, and more
📊 Normalization modes: None (raw), Index (Based to 100), Z-Score
⏳ Offset input to shift liquidity data forward — aligns with Bitcoin's delayed reaction (84–107 days common)
🧠 BTC correlation matrix: 30D, 90D, 365D correlation values
🧪 Top 3 M2 delta signals: Tracks 90-day % change for US, China, EU
🧮 Fibonacci SMAs: 13 / 34 / 89 for structural macro context
🟢🔴 Liquidity regime engine: EMA 89 defines "Risk-On" vs "Risk-Off" states
🧩 How It Works:
Each country’s M2 is multiplied by its FX rate (to USD) and summed into a single global M2 line. This ensures comparability across nations. The user can choose to:
Normalize the output (raw, indexed, or z-scored)
Shift the global M2 forward in time (offset), simulating the lag effect liquidity has on Bitcoin
Visualize macro risk conditions using EMA 89 as a liquidity regime filter
Analyze BTC correlation across 3 windows and track key regions’ M2 delta
❓ FAQ:
Why does this matter?
M2 is the monetary fuel behind asset bubbles. When liquidity rises, Bitcoin follows; with a delay. This tracker helps you front-run macro flows before they hit the chart.
Why use Index or Z-Score modes?
Raw values skew long-term visual analysis. Index mode rebases data for comparative trend tracking. Z-Score shows when liquidity is overheated or suppressed (mean reversion).
What does the offset input do?
Liquidity doesn’t hit Bitcoin instantly. Many traders use an 84–107 day forward shift to align M2 changes with BTC price action. The offset helps you visualize this.
Why track top 3 M2 regions?
US, China, and Eurozone are the heavyweights in global liquidity. Tracking their offset-day % change gives immediate insight into capital expansion or contraction.
Can I use this to trade?
Absolutely; but it’s best used as a macro filter. Combine with price structure, funding, or on-chain data to optimize timing and conviction.
⚡ Use Cases:
Spot early pivots in liquidity regimes (Risk-Off to Risk-On)
Quantify macro backdrop for Bitcoin or altcoin cycles
Understand when the Fed or PBOC are tightening or easing
Ditch the hopium. Trade with context.
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Built by: @DurdensBitcoinLedger
Follow for updates — future upgrades include:
• Regional toggles
• Custom M2 baskets
• Alert conditions
• Continued revisions & updates
Stay liquid, not wrecked.
