PRT Cycle (replica 1:1) — linea verde/rossaIndicatore di ciclo ispirato a quello che usavo su un altro sistema di grafici finanziari
Cycles
I-SL & MM-SL-by ParthibI-SL & MM-SL Indicator.
he I-SL & MM-SL Indicator is a cutting-edge trading tool designed for discerning market professionals and champion traders. Engineered to quickly provide the most actionable levels for dynamic stop management, this exclusive indicator blends institutional-grade precision with innovative money management techniques, all presented in a sleek and intuitive format.
Its minimalist display offers instant clarity on critical parameters, helping you make decisive and confident risk decisions in any market environment. Whether you’re refining your edge or executing at the highest level, the I-SL & MM-SL Indicator delivers the essential data you need—right when you need it—without distractions.
Unlock a new standard for disciplined trading: experience the next generation of stop loss and risk management with the I-SL & MM-SL Indicator.
jjjjjjjjExplanation of the Script
Bullish and Bearish Candles: The function isBullishOrderBlock() checks if a candle is "bullish" in nature (based on body size to range ratio). Similarly, isBearishOrderBlock() checks for bearish candles.
Order Block Length and Threshold: length is the number of bars to scan for an order block, and threshold sets how strong a candle needs to be to be considered an order block.
Detection: The loop searches backward through the bars to find strong bullish and bearish order blocks, marking the price points where the strong moves happened.
Plotting: The plotshape() function is used to plot arrows or labels on the chart to mark where bullish or bearish order blocks are identified.
Improving and Customizing
Highlighting Blocks: Instead of just marking a point, you can plot horizontal boxes or shaded regions using box.new() to visually highlight the order block zone.
Use of Different Timeframes: You can modify the script to look for order blocks across multiple timeframes to increase accuracy.
Complex Rules: Depending on your strategy, you may want to add additional rules, such as looking for price to return to the order block area before confirming the strength of the block.
AllYouNeedThis indicator provides a complete multi-session framework designed for intraday and swing traders who want to visualize key trading ranges, session structures, and market imbalances.
It automatically detects and displays:
Session zones, including customizable time ranges (e.g. 18:30–22:03, 06:00–09:00), with dynamic boxes that extend in real time.
Premium/discount and deviation levels, based on percentage or pip-based deviations, useful for identifying overextended price zones.
Fair Value Gaps (FVGs), automatically highlighted with color changes that show whether they are newly created, tapped, or broken.
Dynamic Fibonacci and standard deviation zones, projected from session highs and lows to outline potential retracement and extension areas.
Automatic labeling of key equilibrium and OTE levels, allowing traders to easily locate optimal trade entry zones.
Each visual element dynamically adapts to price action as the session unfolds, helping traders interpret structural imbalances, retracement zones, and directional bias more intuitively.
Overall, this tool offers a structured and data-driven way to map intraday price behavior, making it ideal for traders focusing on precision entries, liquidity zones, and session-based confluence.
Indian Gold Festival Dates HistoricalIndian Gold Festival Dates (1975-2025)
Marks 8 major Indian festivals associated with gold buying over 50 years of historical data. Essential for analyzing seasonal patterns and cultural demand cycles in gold markets.
Festivals Included:
Dhanteras (Gold) - Most auspicious gold buying day
Diwali (Orange) - Festival of Lights
Akshaya Tritiya (Green) - "Never-ending" prosperity
Dussehra (Red) - Victory and success
Makar Sankranti (Cyan) - Solar new year
Gudi Padwa (Magenta) - Hindu New Year (Maharashtra)
Ugadi (Purple) - Hindu New Year (South India)
Navratri (Yellow) - 9-day festival
Features:
✓ 408 exact historical dates (1975-2025)
✓ Color-coded vertical lines for easy identification
✓ Toggle individual festivals on/off
✓ Adjustable line width and labels
✓ Works on all timeframes (best on daily/weekly)
Perfect for traders analyzing gold seasonality, Indian market sentiment, and cultural demand patterns. Use on XAUUSD, GC1!, or Indian gold futures.
PO3-Goldbach Fractal levels [promuckaj]This script is developed on time & price, algorithmic market theory that is well explained in the book "Demystifying ICT" by Hopiplaka.
What is fractals Goldbach levels and why this indicator is different then the other one based on GB levels to.
Well, the whole idea behind this script was born long time a go, when I write the first, well known, indicator for GB levels. This script allow you to set one master/main PO3 GB number, usually the higher one, and then decide what fractal GB levels you want there within 12 partitions of main(higher one) PO3 dealing range.
That means that you can deal with every single partition level from main one, RB, OB, FV, LV, BR and MB, and look them through prism of GB levels reserved for each of them.
Indicator contain all the options to deal with lines, labels, colors etc, including options for non-goldbach and CE levels. All of them could be modify separately for main and fractal levels.
Here is one example, lets set main PO3 GB number for NQ to be 2187.
We can see that we are at the moment in discount MB partition, so now let’s do the magic and activate some of fractals there, for example for MB and BR in discount zone and zoom in the chart.
I hope it is more then clear how this could be used in your analysis and trading plan.
Rafael ThingsThis script is a custom-built Pine Script designed for research and analysis purposes on TradingView. It combines various market concepts, technical indicators, and logic conditions to visualize market structure and potential trade setups. The goal of this script is to assist with identifying price behavior patterns, momentum shifts, and possible areas of entry or exit based on customizable parameters. It is not intended to provide financial advice or guarantee performance — all results are for demonstration and educational use only.
Traffic Light MA — Trend IndicatorThis script displays a simple “traffic light” circle that reflects the market trend based on two moving averages (MA).
-Green: Price > Fast MA > Slow MA → Uptrend confirmation
-Yellow: Mixed conditions (transition zone)
-Red: Slow MA > Fast MA > Price → Downtrend confirmation
You can customize:
-MA type (SMA or EMA)
-Lengths of both MAs
-Timeframe used for evaluation (e.g. Daily, 4H, Weekly)
This tool is designed for traders who prefer a minimalistic chart, showing only a clean color signal instead of multiple lines.
Recommendation:
For small MAs (8,15,21) use EMA, for big MAs (50,100,200) use SMA
6am Candle High/Low Indicator with Highlight6am Candle High/Low Indicator with Highlight
6am Candle High/Low Indicator with Highlight
6am Candle High/Low Indicator with Highlight
6am Candle High/Low Indicator with Highlight 6am Candle High/Low Indicator with Highlight
Alerts Killzones + PD/WL/ML Levels (No Labels)This indicator automatically highlights the London and New York killzones and triggers alerts at key price levels — without adding any labels or text clutter to the chart.
Features:
Highlights London (10:00–13:00) and New York (15:00–17:00) sessions (GMT+3, Romania).
Draws and updates key levels automatically:
PDH / PDL – Previous Day High & Low
WH / WL – Previous Week High & Low
MH / ML – Previous Month High & Low
Alerts when price touches any of these levels.
Alerts at session opens and closes for both London and New York.
Clean interface – no labels or extra markers on chart.
Ideal for:
Traders who follow ICT concepts, session-based setups, or liquidity sweeps and want precise alerts without chart noise.
Salary GuruIndicator Explanation – Salary Guru
Purpose:
The Salary Guru indicator is designed to help traders and analysts track salary payment dates across major economies and visualize their potential impact on financial markets. Salary payments often trigger increased consumer spending and retail investment, which can influence market behavior. This tool translates these periods into visual cues directly on your trading chart.
Key Features:
Multi-Country Support:
Tracks salary dates for USA, China, Japan, Germany, UK, and Israel. Each country can be toggled on/off individually.
Customizable Salary Dates:
Set the exact day of salary payments for each country (e.g., 1st, 15th, 25th, or last working day).
Visual Salary Periods:
Background Boxes: Highlight the entire salary period.
Dashed Borders: Indicate the start and end of salary periods.
First Hour/Period Boxes: Emphasize the initial market reaction window.
Dynamic Price Tracking:
Plots horizontal lines at the closing price on salary dates, helping traders see where markets reacted to the inflow of disposable income.
Labels & Tooltips:
Each salary period and line can display labels with the country and price. Tooltips provide insights into market behavior during salary periods.
Interactive Dashboard Table:
Shows country, salary pattern, active day status, period status (within 24h of salary), and salary-close price.
Color-coded for intuitive visual tracking.
Flexible Appearance:
Customize line widths, border thickness, background transparency, and colors to match your charting style.
How It Works:
Detects if today is a salary date for the selected countries.
Draws boxes and lines representing salary periods and market impact zones.
Updates dynamically to show if the market is currently under salary-period influence.
Provides a real-time dashboard summary for quick insights.
Why It’s Useful:
Traders can anticipate short-term market shifts driven by retail liquidity. Stocks, forex pairs, or crypto markets can show increased volatility around salary payment periods. By visualizing these periods, you can align entries, exits, and risk management with predictable market behaviors.
Market Cycle Detector-By ParthibMarket Cycle Detector – by Parthib
This indicator provides a clear visual guide to market cycles for any asset or index you trade. It highlights bullish and bearish phases, helping you better manage your risk. By knowing the current market cycle at a glance, you can decide when to increase your exposure and when to be more cautious. Simply paste it on the chart of any script (Preferably INDEX's, I use CNX500)
you trade and let it assist in your risk management decisions.
TrendLinePro IndicatorTrendLinePro Indicator — Simple Market Direction & Flip Detector
The TrendLinePro Indicator combines the precision of Supertrend, Money Line, and Heikin Ashi logic to create a smooth, adaptive trend line that responds intelligently to volatility using the ATR (Average True Range).
When momentum shifts, TrendLinePro instantly highlights the flip level and labels the new trend direction — helping traders stay aligned with the market’s true structure and avoid misleading noise.
Key Features
Automatic Trend Detection
Quickly identifies whether the market is in a bullish or bearish phase with a seamless color transition.
Flip Level Marker
Shows the exact price level where sentiment flipped — the line updates live as new candles form.
Visual Clarity
Green line for bullish conditions, red for bearish — clean, intuitive, and easy to read.
Smart Labels
“Bullish” and “Bearish” markers automatically appear at each reversal for instant visual confirmation.
Alerts Ready
Get notified the moment a flip occurs — stay informed without watching charts all day.
Clean Design
Minimalist and optimized for visibility — integrates effortlessly with any chart setup.
How to Use
Use the line’s direction and flips to time entries and exits with confidence.
Combine with support/resistance, volume, or order block tools for added confluence.
Adjust ATR Length and Factor to fine-tune responsiveness to your trading style.
For swing trading, the 4H or Daily chart offers the highest reliability.
For scalping, reduce the ATR period for quicker, more responsive flips.
Website: trendlineproindicator.com
Economic Cycle Signal (USA)📊 Economic Cycle Signal (USA)
This indicator overlays both the U.S. Federal Reserve Funds Rate (Fed Funds) and the U.S. Inflation Rate YoY directly onto your stock market chart (e.g., S&P 500). It visually connects monetary policy and inflation dynamics with equity market performance, helping traders and analysts understand how macroeconomic shifts impact risk assets.
🔹 Key Features
• Plots the monthly U.S. Fed Funds Rate alongside your chart.
• Overlays the U.S. Inflation Rate YoY, offering a direct and realistic view of inflation pressure instead of CPI.
• Shades the background to reflect different economic cycle phases (recovery, recession, expansion, late cycle).
• Highlights how the stock market reacts during shifting monetary and inflationary conditions.
• Provides a clear traffic-light style signal for quick macro interpretation.
• Now includes dynamic inflation color logic based on the Fed’s 2% target and 5% threshold (explained below).
🔹 Inflation Line Color Logic (New)
The inflation line now changes color dynamically to show whether inflation is within or outside the Federal Reserve’s comfort zone, and whether it’s rising or falling:
Inflation Condition Interpretation Line Color
Inflation > 5% and Rising Inflation overheating (well above target) 🔴 Red
Inflation > 5% and Falling Cooling off from high levels 💚 Lime
Inflation < 5% and Falling Disinflation / stable price environment 🟢 Green
Inflation < 5% and Rising Early inflation rebound 🟡 Yellow
This color-coded logic mirrors the interest rate phase colors, giving traders an instant visual cue about inflationary pressure and possible policy turning points.
🔹 How Traders & Analysts Can Use It
• Visualize the interaction between U.S. monetary policy and inflation cycles in real time.
• Identify historically supportive phases when low or easing rates follow moderate inflation.
• Detect tightening cycles when inflation spikes first and the Fed reacts, signaling potential equity headwinds.
• Use as a macro compass to anticipate inflation pressure, policy changes, and market regime shifts.
• Combine with technical analysis, fundamentals, or leading indicators for deeper macro insights.
🔹 Color Legend (Economic Phases)
🟩 Light Green → Recovery (Early Cycle)
• Rates: low or falling
• Inflation: low/stable
🟩 Green → Recession (Down Cycle)
• Rates: cut aggressively
• Inflation: falling
🟨 Yellow → Expansion (Mid Cycle)
• Rates: rising gradually
• Inflation: moderate
🟥 Red → Overheating (Late Cycle)
• Rates: high / rising fast
• Inflation: high
🔹 Inflation Context
• Inflation typically leads the policy rate cycle, offering early insight into future Fed actions.
• The U.S. Inflation Rate YoY provides a direct measure of consumer price changes compared to the same month last year — a clearer gauge of inflation pressure than CPI.
• The new color logic helps visualize whether inflation is accelerating or cooling, relative to the Fed’s 2% target and 5% upper threshold.
• This dual-overlay makes it easy to interpret the cause (inflation) and effect (interest rate policy) in one synchronized chart.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not provide financial advice or trading signals. Always combine it with your own research, proper risk management, and professional judgment.
Economic Cycle Signal (Pakistan)📊 Economic Cycle Signal (Pakistan)
This indicator overlays both the Pakistan Policy Rate (PKINTR) and the Pakistan Inflation Rate YoY (PKIRYY) directly onto your KSE or Pakistan market chart. It visually connects monetary policy and inflation dynamics with market performance, helping traders and analysts understand how shifts in economic conditions impact risk assets in Pakistan.
🔹 Key Features
• Plots the monthly Pakistan Policy Rate alongside your chart.
• Overlays the Pakistan Inflation Rate YoY to track how price pressures evolve before policy rate adjustments.
• Shades the background to reflect different economic cycle phases (recovery, recession, expansion, late cycle).
• Highlights how equities and other risk assets react during shifting monetary and inflationary conditions.
• Provides a clear traffic-light style signal for quick macro interpretation.
• Now includes dynamic inflation color logic based on the State Bank of Pakistan’s (SBP) 5–7% target range and thresholds for overheating or cooling inflation.
🔹 Inflation Line Color Logic (New)
The inflation line color dynamically reflects whether inflation is within or outside SBP’s target range, and whether it’s rising or falling:
Inflation Condition Interpretation Line Color
Inflation > 7% and Rising Inflation overheating (well above SBP target) 🔴 Red
Inflation > 7% and Falling Cooling off from high levels 💚 Lime
Inflation < 5% and Falling Disinflation / stable price environment 🟢 Green
Inflation < 5% and Rising Early inflation rebound 🟡 Yellow
This adaptive color logic mirrors the interest rate cycle signals, helping traders instantly interpret Pakistan’s inflation trajectory and anticipate potential monetary policy turning points.
🔹 How Traders & Analysts Can Use It
• Visualize Pakistan’s monetary policy cycles and inflation trends in real time.
• Identify supportive phases when rate cuts or low policy rates follow controlled inflation.
• Detect tightening cycles when inflation spikes and the SBP reacts with rate hikes, often creating headwinds for equities.
• Use as a macro compass to anticipate inflation pressure, potential policy actions, and shifts in market risk appetite.
• Combine with technical analysis, fundamentals, or macro indicators for deeper insights into Pakistan’s economic conditions.
🔹 Color Legend (Economic Phases)
🟩 Light Green → Recovery (Early Cycle)
• Rates: low or falling
• Inflation: low/stable
🟩 Green → Recession (Down Cycle)
• Rates: cut aggressively
• Inflation: falling
🟨 Yellow → Expansion (Mid Cycle)
• Rates: rising gradually
• Inflation: moderate
🟥 Red → Overheating (Late Cycle)
• Rates: high / rising fast
• Inflation: high
🔹 Inflation Context
• SBP’s medium-term inflation target range is 5–7%, aimed at balancing growth and price stability.
• The script applies the same visual logic used in the U.S. version, now calibrated to Pakistan’s macro environment.
• The Pakistan Inflation Rate YoY (PKIRYY) line color shifts dynamically — clearly showing when inflation is rising above target, cooling, or stabilizing.
• This dual-overlay helps interpret both the cause (inflation) and effect (policy response) within Pakistan’s economic cycle, giving investors a clear macro perspective.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not provide financial advice or trading signals. Always combine it with your own research, proper risk management, and professional judgment.
RSI Colored by Relative StrengthThis indicator enhances the traditional RSI by combining it with Relative Strength (RS) — the ratio of an asset’s price to a chosen benchmark (e.g., SPY, QQQ, BTCUSD) — to create a more accurate, powerful, and dynamic momentum confirmation tool.
Instead of relying solely on RSI’s internal momentum, this version color-codes RSI values and backgrounds based on whether the asset is outperforming, underperforming, or neutral relative to the benchmark, not only identifying the RSI value, but color codes it in relation to the overall market to give more accurate confirmations.
• RS > 1 → The asset is outperforming the benchmark (relative strength).
• RS < 1 → The asset is underperforming.
• RS ≈ 1 → Neutral or moving in sync with the benchmark.
Gradient background zones:
• Green tones = outperformance (RS > 1).
• Red tones = underperformance (RS < 1).
• Gray neutral band = parity (RS ≈ 1).
Intensity adjusts dynamically based on how far RS deviates from 1, giving an at-a-glance view of market leadership strength.
• Color-coded RSI line: Green when RS > 1, red when RS < 1.
• Optional markers and labels show confirmed RS+RSI crossovers with smart spacing to prevent clutter.
• Alerts included for bullish and bearish RS+RSI alignment events.
How to Use
1. Add your preferred benchmark symbol (default: SPY).
2. Move this indicator into the same pane as your RSI (No need to overlay, does so automatically) and can also be used standalone.
3. Watch for:
• Green RSI & background: Significant momentum strength (asset trending upward and outpacing the market).
• Red RSI & background: False or insignificant momentum (asset lagging).
• Gray zone: neutral phase — consolidation or rotation period.
Use this as a trend-confirmation filter rather than a signal generator.
For example:
• Confirm and refine breakout entries when RS > 1 (RSI support = stronger conviction).
• Take profits when RSI weakens and RS slips below 1.
Puell Multiple Variants [OperationHeadLessChicken]Overview
This script contains three different, but related indicators to visualise Bitcoin miner revenue.
The classical Puell Multiple : historically, it has been good at signaling Bitcoin cycle tops and bottoms, but due to the diminishing rewards miners get after each halving, it is not clear how you determine overvalued and undervalued territories on it. Here is how the other two modified versions come into play:
Halving-Corrected Puell Multiple : The idea is to multiply the miner revenue after each halving with a correction factor, so overvalued levels are made comparable by a horizontal line across cycles. After experimentation, this correction factor turned out to be around 1.63. This brings cycle tops close to each other, but we lose the ability to see undervalued territories as a horizontal region. The third variant aims to fix this:
Miner Revenue Relative Strength Index (Miner Revenue RSI) : It uses RSI to map miner revenue into the 0-100 range, making it easy to visualise over/undervalued territories. With correct parameter settings, it eliminates the diminishing nature of the original Puell Multiple, and shows both over- and undervalued revenues correctly.
Example usage
The goal is to determine cycle tops and bottoms. I recommend using it on high timeframes, like monthly or weekly . Lower than that, you will see a lot of noise, but it could still be used. Here I use monthly as the example.
The classical Puell Multiple is included for reference. It is calculated as Miner Revenue divided by the 365-day Moving Average of the Miner Revenue . As you can see in the picture below, it has been good at signaling tops at 1,3,5,7.
The problems:
- I have to switch the Puell Multiple to a logarithmic scale
- Still, I cannot use a horizontal oversold territory
- 5 didn't touch the trendline, despite being a cycle top
- 9 touched the trendline despite not being a cycle top
Halving-Corrected Puell Multiple (yellow): Multiplies the Puell Multiple by 1.63 (a number determined via experimentation) after each halving. In the picture below, you can see how the Classical (white) and Corrected (yellow) Puell Multiples compare:
Advantages:
- Now you can set a constant overvalued level (12.49 in my case)
- 1,3,7 are signaled correctly as cycle tops
- 9 is correctly not signaled as a cycle top
Caveats:
- Now you don't have bottom signals anymore
- 5 is still not signaled as cycle top
Let's see if we can further improve this:
Miner Revenue RSI (blue):
On the monthly, you can see that an RSI period of 6, an overvalued threshold of 90, and an undervalued threshold of 35 have given historically pretty good signals.
Advantages:
- Uses two simple and clear horizontal levels for undervalued and overvalued levels
- Signaling 1,3,5,7 correctly as cycle tops
- Correctly does not signal 9 as a cycle top
- Signaling 4,6,8 correctly as cycle bottoms
Caveats:
- Misses two as a cycle bottom, although it was a long time ago when the Bitcoin market was much less mature
- In the past, gave some early overvalued signals
Usage
Using the example above, you can apply these indicators to any timeframe you like and tweak their parameters to obtain signals for overvalued/undervalued BTC prices
You can show or hide any of the three indicators individually
Set overvalued/undervalued thresholds for each => the background will highlight in green (undervalued) or red (overvalued)
Set special parameters for the given indicators: correction factor for the Corrected Puell and RSI period for Revenue RSI
Show or hide halving events on the indicator panel
All parameters and colours are adjustable
Conviction Ratio | viResearchConviction Ratio | viResearch
Conceptual Foundation and Innovation
The Conviction Ratio by viResearch is a trend strength indicator designed to measure the conviction behind market movements by analyzing price returns over a defined period. It reflects how consistently and powerfully an asset has trended within that time window. The higher the ratio, the stronger and more confident the trend.
This approach provides a clear and intuitive way to gauge whether recent price action is supported by genuine momentum or merely short-term noise. By quantifying return intensity, the indicator helps traders identify assets that are trending with conviction versus those moving without sustained direction.
Technical Composition and Calculation
The Conviction Ratio evaluates an asset’s performance by comparing its current price level to past values over a customizable lookback period. It measures how much the market has advanced or declined, translating that movement into a normalized ratio that reflects overall trend conviction.
A rising ratio indicates strong and accelerating trend strength, while a falling or negative ratio suggests fading momentum or potential reversal. This dynamic view helps traders visually assess whether a trend is strengthening, weakening, or entering a transition phase.
Features and User Inputs
To accommodate different trading styles and timeframes, the indicator offers several adjustable settings:
Period (Days): Defines how far back the indicator measures return performance, allowing users to analyze short-term bursts or longer-term trends.
Start Date: Sets the beginning of the analysis window, useful for backtesting or focusing on a specific time period.
The Conviction Ratio line changes color dynamically to reflect market conviction:
Aqua: Positive ratio, indicating strong upward trend strength.
Pink: Negative ratio, signaling weak or declining market conviction.
Practical Applications
The Conviction Ratio can be applied across all asset classes — equities, cryptocurrencies, forex, and commodities — to identify where the strongest trends are forming. It’s particularly useful for:
Measuring Trend Strength: Quickly determine how strong or sustained a trend is within the chosen timeframe.
Identifying Momentum Shifts: Spot when market conviction is increasing or fading, signaling potential trend continuation or reversal.
Comparative Analysis: Compare multiple assets to find which ones are trending with greater conviction and consistency.
Advantages and Strategic Value
The Conviction Ratio offers a simple yet powerful way to quantify trend quality. Instead of relying on price direction alone, it evaluates the strength and persistence behind that movement. This makes it an ideal tool for trend followers, momentum traders, and portfolio managers seeking to align with assets showing genuine directional confidence.
Its normalized structure ensures consistency across different volatility environments, making it suitable for both discretionary and systematic trading strategies.
Visual Cues and Interpretation
The indicator plots a smooth, color-coded ratio line centered around zero, with key reference levels at +1.0 and –1.0.
Ratios above +1.0 indicate strong, confident uptrends.
Ratios below +1.0 suggest weakening or unstable market conditions.
Ratios below 0 represent unprofitable or negative-return periods.
Sharp declines in the ratio, even from high positive levels, can serve as early warning signals of weakening momentum or potential trend reversal.
By tracking both the level and the rate of change of the ratio, traders can detect when market conviction starts to fade — often before price itself shows clear reversal signs.
Summary and Usage Tips
The Conviction Ratio | viResearch provides traders with a clean, data-driven way to interpret market strength. By focusing on return-based trend conviction, it highlights where the market is moving with genuine confidence and warns when conviction begins to erode.
Use it to confirm breakout strength, identify fading rallies, or monitor early signs of trend exhaustion. The higher the ratio, the stronger the conviction — but when it starts falling sharply, take note. It might be your first signal that the trend is losing strength.
Note: Historical results are for reference only and do not guarantee future performance.
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user.
The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market.
Key Features:
Dynamic correlation calculation between Gold and Bitcoin.
Adjustable offset in days (default: 107) to fine-tune the temporal shift.
Automatic labels and on-chart visualization.
Compatible with multiple timeframes and logarithmic scales.
Interpretation:
Positive correlation suggests synchronized trends between both assets.
Negative correlation signals divergence or rotation of liquidity.
The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin.
Recommended use:
For macro-financial and global liquidity cycle analysis.
As a complementary tool in cross-asset momentum strategies.
© 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles.
This script is for educational purposes only and does not constitute financial advice.
Adaptive Pulse Frequency & Amplitude TrendAdaptive Pulse Frequency & Amplitude Trend Indicator
This Pine Script indicator is designed to identify strong bullish or bearish trends by analyzing volume dynamics on a lower timeframe than the one currently displayed on the chart. It operates on the principle of detecting significant spikes in buying or selling pressure, referred to as "pulses," and then evaluating their frequency, strength, and dominance over the opposing market forces.
Core Concepts
Lower Timeframe Volume Analysis: The script requests up-volume and down-volume data from a more granular, lower timeframe (e.g., 1-minute data when on a 15-minute chart). This provides a higher-resolution view of the flow of buy and sell orders.
Adaptive Pulse Detection: A "pulse" is defined as a bar with an unusually high net volume (up volume minus down volume). Instead of using a fixed value, the indicator calculates an adaptive threshold based on the 90th percentile of net volume over a 100-bar lookback period. Any bar with a net volume exceeding this dynamic threshold is flagged as a pulse, categorized as either bullish (positive net volume) or bearish (negative net volume).
Frequency and Amplitude: The indicator measures two key aspects of these pulses over user-defined lookback periods:
Net Frequency: The number of bullish pulses minus the number of bearish pulses. A positive value indicates more buying pulses, while a negative value indicates more selling pulses.
Net Amplitude : The cumulative volume of bullish pulses minus the cumulative volume of bearish pulses. This measures the overall strength and conviction behind the pulses.
Primary Trend Signal
The indicator's primary signal comes from a strict dominance condition. It doesn't just look for more buying or selling pulses; it checks if these pulses are powerful enough to overwhelm the total opposite pressure in the market.
Bullish Dominance (Green Background): A strong bullish signal is generated when the total volume of all bullish pulses within a lookback period is greater than the total down-volume from all bars (not just pulses) in that same period.
Bearish Dominance (Red Background): A strong bearish signal is generated when the total volume of all bearish pulses is greater than the total up-volume from all bars in that period.
The chart background is colored green for bullish dominance and red for bearish dominance, providing a clear visual cue for when one side has taken decisive control.
Plotted Data
In addition to the background coloring, the indicator plots several lines in its own pane for more detailed analysis:
Net Frequency: Shows the trend in the number of bull vs. bear pulses.
Net Amplitude: Shows the trend in the strength of bull vs. bear pulses.
Bullish/Bearish Amplitude: The individual cumulative volumes for bull and bear pulses.
Dynamic Threshold: The adaptive value used to identify pulses.
By combining an adaptive detection method with a strict dominance condition, this tool aims to filter out market noise and highlight periods of genuinely strong, volume-backed trends.
Historical Vertical Lines 17:00-20:30Historical Vertical Lines 17:00-20:30. These lines show this specific time. You can edit the times via pine script. Easy.
Cyclical Phases of the Market🧭 Overview
“Cyclical Phases of the Market” automatically detects major market cycles by connecting swing lows and measuring the average number of bars between them.
Once it learns the rhythm of past cycles, it projects the next expected cycle (in time and price) using a dashed orange line and a forecast label.
In simple terms:
The indicator shows where the next potential low is statistically expected to occur, based on the timing and depth of previous cycles.
⚙️ Core Logic – Step by Step
1️⃣ Pivot Detection
The script uses the built-in ta.pivotlow() and ta.pivothigh() functions to find local turning points:
pivotLow marks a local swing low, defined by pivotLeft and pivotRight bars on each side.
Only confirmed lows are used to define the major cycle points.
Each new pivot low is stored in two arrays:
cycleLows → price level of the low
cycleBars → bar index where the low occurred
2️⃣ Cycle Identification and Drawing
Every time two consecutive swing lows are found, the indicator:
Calculates the number of bars between them (cycle length).
If that distance is greater than or equal to minCycleBars, it draws a teal line connecting the two lows — visually representing one complete cycle.
These teal lines form the historical cycle structure of the market.
3️⃣ Average Cycle Length
Once there are at least three completed cycles, the script calculates the average duration (mean number of bars between lows).
This value — avgCycleLength — represents the dominant periodicity or cycle rhythm of the market.
4️⃣ Forecasting the Next Cycle
When a valid average cycle length exists, the model projects the next expected cycle:
Time projection:
Adds avgCycleLength to the last cycle’s ending bar index to find where the next low should occur.
Price projection:
Estimates the vertical amplitude by taking the difference between the last two cycle lows (priceDiff).
Adds this same difference to the last low price to forecast the next probable low level.
The result is drawn as an orange dashed line extending into the future, representing the Next Expected Cycle.
5️⃣ Forecast Label
An orange label 🔮 appears at the projected future point showing:
Text:
🔮 Upcoming Cycle Forecast
Price:
The label marks the probable area and timing of the next cyclical low.
(Note: the date/time calculation currently multiplies bar count by 7 days, so it’s designed mainly for daily charts. On other timeframes, that conversion can be adapted.)
📊 How to Read It on the Chart
Visual Element Meaning Interpretation
Teal lines Completed historical cycles (low to low) Show actual periodic rhythm of the market
Orange dashed line Projection of the next expected cycle Anticipated path toward the next cyclical low
Orange label 🔮 Upcoming Cycle Forecast Displays expected price and bar location
Average cycle length Internal variable (bars between lows) Represents the dominant cycle period
📈 Interpretation
When teal segments show consistent spacing, the market is following a stable rhythm → cycles are predictable.
When cycle spacing shortens, the market is accelerating (volatility rising).
When it widens, the market is slowing down or entering accumulation.
The orange dashed line represents the next expected low zone:
If the market drops near this line → cyclical pattern confirmed.
If the market breaks well below → cycle amplitude has increased (trend weakening).
If the market rises above and delays → a new longer cycle may be forming.
🧠 Practical Use
Combine with oscillators (e.g., RSI or TSI) to confirm momentum alignment near projected lows.
Use in conjunction with volume to identify accumulation or exhaustion near the expected turning point.
Compare across timeframes: weekly cycles confirm long-term rhythm; daily cycles refine short-term entries.
⚡ Summary
Aspect Description
Purpose Detect and forecast recurring market cycles
Cycle basis Low-to-Low pivot analysis
Visuals Teal historical cycles + Orange forecast line
Forecast Next expected low (price and time)
Ideal timeframe Daily
Main outputs Average cycle length, next projected cycle, visual cycle map
Fair Value Lead-Lag Model [BackQuant]Fair Value Lead-Lag Model
A cross-asset model that estimates where price "should" be relative to a chosen reference series, then tracks the deviation as a normalized oscillator. It helps you answer two questions: 1) is the asset rich or cheap vs its driver, and 2) is the driver leading or lagging price over the next N bars.
Concept in one paragraph
Many assets co-move with a macro or sector driver. Think BTC vs DXY, gold vs real yields, a stock vs its sector ETF. This tool builds a rolling fair value of the charted asset from a reference series and shows how far price is above or below that fair value in standard deviation units. You can shift the reference forward or backward to test who leads whom, then use the deviation and its bands to structure mean-reversion or trend-following ideas.
What the model does
Reference mapping : Pulls a reference symbol at a chosen timeframe, with an optional lead or lag in bars to test causality.
Fair value engine : Converts the reference into a synthetic fair value of the chart using one of four methods:
Ratio : price/ref with a rolling average ratio. Good when the relationship is proportional.
Spread : price minus ref with a rolling average spread. Good when the relationship is additive.
Z-Score : normalizes both series, aligns on standardized units, then re-projects to price space. Good when scale drifts.
Beta-Adjusted : rolling regression style. Uses covariance and variance to compute beta, then builds a fair value = mean(price) + beta * (ref − mean(ref)).
Deviation and bands : Computes a z-scored deviation of price vs fair value and plots sigma bands (±1, ±2, ±3) around the fair value line on the chart.
Correlation context : Shows rolling correlation so you can judge if deviations are meaningful or just noise when co-movement is weak.
Visuals :
Fair value line on price chart with sigma envelopes.
Deviation as a column oscillator and optional line.
Threshold shading beyond user-set upper and lower levels.
Summary table with reference, deviation, status, correlation, and method.
Why this is useful
Mean reversion framework : When correlation is healthy and deviation stretches beyond your sigma threshold, probability favors reversion toward fair value. This is classic pairs logic adapted to a driver and a target.
Trend confirmation : If price rides the fair value line and deviation stays modest while correlation is positive, it supports trend persistence. Pullbacks to negative deviation in an uptrend can be buyable.
Lead-lag discovery : Shift the reference forward by +N bars. If correlation improves, the reference tends to lead. Shift backward for the reverse. Use the best setting for planning early entries or hedges.
Regime detection : Large persistent deviations with falling correlation hint at regime change. The relationship you relied on may be breaking down, so reduce confidence or switch methods.
How to use it step by step
Pick a sensible reference : Choose a macro, index, currency, or sector driver that logically explains the asset’s moves. Example: gold with DXY, a semiconductor stock with SOXX.
Test lead-lag : Nudge Lead/Lag Periods to small positive values like +1 to +5 to see if the reference leads. If correlation improves, keep that offset. If correlation worsens, try a small negative value or zero.
Select a method :
Start with Beta-Adjusted when the relationship is approximately linear with drift.
Use Ratio if the assets usually move in proportional terms.
Use Spread when they trade around a level difference.
Use Z-Score when scales wander or volatility regimes shift.
Tune windows :
Rolling Window controls how quickly fair value adapts. Shorter equals faster but noisier.
Normalization Period controls how deviations are standardized. Longer equals stabler sigma sizing.
Correlation Length controls how co-movement is measured. Keep it near the fair value window.
Trade the edges :
Mean reversion idea : Wait for deviation beyond your Upper or Lower Threshold with positive correlation. Fade back toward fair value. Exit at the fair value line or the next inner sigma band.
Trend idea : In an uptrend, buy pullbacks when deviation dips negative but correlation remains healthy. In a downtrend, sell bounces when deviation spikes positive.
Read the table : Deviation shows how many sigmas you are from fair value. Status tells you overvalued or undervalued. Correlation color hints confidence. Method tells you the projection style used.
Reading the display
Fair value line on price chart: the model’s estimate of where price should trade given the reference, updated each bar.
Sigma bands around fair value: a quick sense of residual volatility. Reversions often target inner bands first.
Deviation oscillator : above zero means rich vs fair value, below zero means cheap. Color bins intensify with distance.
Correlation line (optional): scale is folded to match thresholds. Higher values increase trust in deviations.
Parameter tips
Start with Rolling Window 20 to 30, Normalization Period 100, Correlation Length 50.
Upper and Lower Threshold at ±2.0 are classic. Tighten to ±1.5 for more signals or widen to ±2.5 to focus on outliers.
When correlation drifts below about 0.3, treat deviations with caution. Consider switching method or reference.
If the fair value line whipsaws, increase Rolling Window or move to Beta-Adjusted which tends to be smoother.
Playbook examples
Pairs-style reversion : Asset is +2.3 sigma rich vs reference, correlation 0.65, trend flat. Short the deviation back toward fair value. Cover near the fair value line or +1 sigma.
Pro-trend pullback : Uptrend with correlation 0.7. Deviation dips to −1.2 sigma while price sits near the −1 sigma band. Buy the dip, target the fair value line, trail if the line is rising.
Lead-lag timing : Reference leads by +3 bars with improved correlation. Use reference swings as early cues to anticipate deviation turns on the target.
Caveats
The model assumes a stable relationship over the chosen windows. Structural breaks, policy shocks, and index rebalances can invalidate recent history.
Correlation is descriptive, not causal. A strong correlation does not guarantee future convergence.
Do not force trades when the reference has low liquidity or mismatched hours. Use a reference timeframe that captures real overlap.
Bottom line
This tool turns a loose cross-asset intuition into a quantified, visual fair value map. It gives you a consistent way to find rich or cheap conditions, time mean-reversion toward a statistically grounded target, and confirm or fade trends when the driver agrees.
