Fight Or Flight Index [log] - LTF [MethodAlgo]Introduction:
"Fight Or Flight" is a robust yet user-friendly indicator designed for long-term cycle analysis and gauging market sentiment. Excluded from our Premium Indicator Collection, we are delighted to offer this tool to the community for free.
Before Use:
- This is a first-layer analysis tool, identifying potential over/under-valued price areas, not predicting future market movements.
- Tailored for long-term investment analysis. Designed for use on timeframes "1D" and above; unsupported timeframes will display nothing.
- If the asset has less 2 years of data, indicator will display nothing.
Concept:
Fight Or Flight utilizes a 2-year Moving Average (MA) as a baseline (neon white), with reference lines at 2.5x and 5x of the MA (white and neon red). By tracking asset movements through bear and bull market cycles, the indicator simplifies the identification of these cycles for long-term investors.
Instructions:
- Supported timeframes: 1D, 3D, 1W, 2W, 3W, 9W, 1M, 3M, 6M, 12M; auto-adjusts MA parameters for listed timeframes for the same result.
- Recommended to use log chart for clearer views; supports all chart types but functions optimally in log mode. or the upper channel line will look odd (but not wrong).
- Set up advice: Use the indicator in a separate chart with a fixed timeframe.
UI:
- Neon White: Indicates market bottom, a 2-year MA auto-adjusted for the supported timeframe.
- Neon Red: Indicates market top, set at 5x the 2-year MA.
- White: Sits between the top and bottom lines, serving as a support, resistance, or equilibrium line.
- Filled Area: Red (Flight) signals an overheated market, suggesting an exit; White (Fight) denotes an undervalued market, suggesting an possible entry.
Use Case:
Traders can observe price levels in comparison to the MA levels provided by the indicator for cycle analysis:
- Below Neon White: Indicates undervalue, over-pessimistic market conditions; potential for outsized returns.
- Near or above Neon Red: Suggests an overvalued or overexcited market; plan your exit strategy.
Risk Disclaimer:
Trading is inherently risky; this indicator provides indications based on historical data, and past performance does not guarantee future results. Use it as part of your confluence reference and avoid making trading decisions solely based on one indicator.
Search in scripts for "Cycle"
AMD-PO3-Goldbach levels [promuckaj]This script is developed on time & price, algorithmic market theory that is well explained in the book "Demystifying ICT" by Hopiplaka.
Indicators main features:
*PO3 - Goldbach(IPDA) levels which is based on the size of a price range (dealing range) as a factor of power of three (3^n).
There is PO3 numbers starting from 3 to 177147 as predefined, but also there is field for custom one so that users can experiment.
By selecting the PO3 number script calculate range low and range high using PO3 formula based on the current price and represent it on the chart into multiple levels of Goldbach numbers. At each this levels it is expected to see price that form block, fair value gap etc..., as defined in concept by ICT.
Levels:
Ext => External range
Low => Range low
High => Range high
FVG => Fair value gap
RB => Rejection block
OB => Order block
LV => Liquidity void
BR => Breaker
MB => Mitigation block
*AMD (Accumulation, Manipulation, Distribution) cycles, that can be modified by changing timings and colors.
Using PO3-Goldbach levels to identify where at the current time profile price is, there can be done trades in line with AMD cycles.
Default timings are set for Forex pairs.
*FVG, HIPPO, Displacement is well known parts of a market structure, so those three are also implemented here with some possible changes for them (colors, extension, labels...).
FVG => Fair value gap, imbalances in the market, or when buying and selling are not equal, in most cases can become a magnet for the price.
HIPPO => Hidden interbank price point objective, invention by Hopiplaka to demonstrate meaning of this "hidden" order block. It basically take the wicks of 2 consecutive bars that create a fair value gap.
DISPLACEMENT => It is practically similar to FVG but with option to measure length and strength, where in combination it will calculate and mark candle by looking back to the bars to determine the candle range standard deviation.
FEATURES:
-Multiple PO3 numbers, including special option to set your custom one
-Color and style customization
-Main levels mode, only Low, High and Equilibrium levels
-PO3 table with all PO3 calcs from multiple numbers, and mark the same levels from multiple
-Option to shift DR up or down
-Option to show you always upper/lower main DR levels (Low/High/Eq.)
NOTE:
-First of all special thanks to fxdmn that gives me idea from his indicator, how to present this through my own script.
-GB levels requires the correct symbols price calculation to work properly, everything is done by auto calc, tested well on EURUSD,SP500,DXY,Gold and BTC.
Moonhub Cycle IndexMoonhub Cycle Index is a composite index derived from three popular technical analysis indicators: Moving Average Convergence Divergence (MACD), Schaff Trend Cycle (STC), and Detrended Price Oscillator (DPO). The indicator is designed to help identify potential trends and market sentiment by combining the unique characteristics of each indicator.
Key components of the indicator include:
Input Parameters:
COEMA Length (len_DIema): The length of the Exponential Moving Average (EMA) applied to the Custom Index. Default is set to 9.
COSMA Length (len_DIsma): The length of the Simple Moving Average (SMA) applied to the Custom Index. Default is set to 30.
Indicators:
MACD: A momentum oscillator that shows the relationship between two moving averages of a security's price. It is calculated using the difference between the 12-period and 26-period EMA, and a 9-period EMA (signal line) of the MACD.
STC: A cyclic indicator that identifies cyclical trends in the market. It is calculated using the Stochastic oscillator formula applied to the close, high, and low prices over a 10-period lookback window.
DPO: A price oscillator that eliminates the trend from price data to focus on underlying cycles. It is calculated using a custom function that shifts the price by half the length and subtracts the SMA from the shifted price.
Custom Index: The composite index is calculated by taking the average of the MACD line, STC, and DPO.
COEMA and COSMA: Exponential and Simple Moving Averages applied to the Custom Index using the lengths specified by the input parameters (len_DIema and len_DIsma).
Plots: The Custom Index, COEMA, and COSMA are plotted with different colors and line widths to visualize their interaction and provide insights into potential market trends.
This Custom Index Indicator can be useful for traders who want to analyze the market using a combination of these indicators to make more informed decisions. It can also help identify potential trends and market sentiment by combining the unique characteristics of each indicator.
Price Action AverageThis indicator is perfect for scalping in 1 minute, it consists of a channel and a line that is made up of the average of the highs and lows of the price in 12 and 64 cycles.
The channel has as its center a 7 cycles SMA, when the average line (Called Signal, the purple one) crosses the upper band it is time to make a Long.
If it crosses the lower band it is time to make a short, if the line returns to the channel a signal appears to close the operation.
The indicator works with all timeframes, I use it on the 1 hour chart and I do the trades in 1 minute.
PA-Adaptive TRIX Log [Loxx]PA-Adaptive TRIX Log is a Phase Accumulation Adaptive TRIX Log indicator. This adaptation smooths the signal to catch larger trends.
What is TRIX?
TRIX is a momentum oscillator that displays the percent rate of change of a TEMA . It was developed in the early 1980's by Jack Hutson, an editor for "Technical Analysis of Stocks and Commodities" magazine. With its triple smoothing, TRIX is designed to filter insignificant price movements. In his article he uses a logarithm of a price (which is in many versions, left out).
What is the Phase Accumulation Cycle?
The phase accumulation method of computing the dominant cycle is perhaps the easiest to comprehend. In this technique, we measure the phase at each sample by taking the arctangent of the ratio of the quadrature component to the in-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample we can then look backwards, adding up the delta phases.When the sum of the delta phases reaches 360 degrees, we must have passed through one full cycle, on average.The process is repeated for each new sample.
The phase accumulation method of cycle measurement always uses one full cycle’s worth of historical data.This is both an advantage and a disadvantage.The advantage is the lag in obtaining the answer scales directly with the cycle period.That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. longer averaging reduces the noise level compared to the signal.Therefore, shorter cycle periods necessarily have a higher out- put signal-to-noise ratio.
Included
Bar coloring
2 signal options
Alerts
Cyclic Smoothed RSI MTFAdaptive cyclic smoothed Relative Strength Indicator (csRSI MTF)
The cyclic smoothed RSI MTF indicator is an enhancement of the RSI , adding zero-lag smoothing, adaptive oversold/overbought bands and period color highlighting from higher timeframe to filter signals.
Providing the following advanced features:
using the current dominant cycle length as input for the indicator to ensure more accurate change in trends,
additional smoothing without introducing lag and maintaining clear sharp turns for signal generation,
adaptive upper and lower bands to avoid whipsaw trades and adapt the indicator to trending/cyclic conditions,
using higher time-frame csRSI oversold/overbought conditions to automatically highlight time windows with green/red backgrounds on the indicator panel for signal filtering and/or alert rules,
can be used to trigger alerts on your key symbols to get informed when a red/green windows are reached.
The following common problems with standard indicators are solved by this indicator:
First, normal indicators introduce a lot of false signals due to their noisy signal line. Second, to compensate for the noise, one would normally try to add some smoothing. But this only results in adding more delay to the indicator, which makes it almost useless. Third, oscillators contain static threshold levels to define oversold/overbought conditions. However, the market is not static and changes between trending and cycling periods. In trending periods, these static oversold/overbought levels are useless ore will trigger too much whipsaw trades. Finally, indicators don't take their state from other timeframes into account to filter signals.
All four problems described above are solved by the developed adaptive cyclic RSI with embedded MTF period highlighting.
Examples
S&P500 EMini Futures - csRSI 2H chart / 1D filter example signals
S&P E-Mini Futures 2h chart with daily higher time-frame filtering period for the csRSI, showing the standard RSI in the lower panel for signal comparison, signals from the csRSI are marked on the price chart
Bitcoin BTC /USD - csRSI 2H chart / 1D filter example signals
Bitcoin BTC /USD 2h chart with daily higher time-frame filtering period for the csRSI, signals marked
EUR/USD Forex - csRSI 20min chart / 2h filter example signals
EUR/USD 20min chart with 2H higher time-frame filtering period for the csRSI, signals marked
Info:
All three examples are setup with the basic standard settings and no additional parameter adjustments. The placed arrows on the price/indicator panel and the projection price areas have been added manually to visualize the signals for an discretionary trading approach. They are derived based on standard technical indicator oscillator readings (signal turn above/below bands). Due to the nature of the indicator (ultra-smooth, sharp curves, dynamic bands), these signals are easy to spot, and will help to avoid whipsaw trades in volatile conditions.
Settings & Parameter
The Inputs section allows you to select the time frame for the indicator signals. We recommend keeping the indicator time-frame according to your chart time frame ("Same as chart"). The cycle length allows to improve the signals by entering the dominant cycle length of the analyzed dataset. This parameter is optional if the current dominant cycle is not known. In that case, leave it at 20. The dominant cycle length can even improve the indicator signal generation. The examples above have not been optimized by using the dominant cycle length and just used the standard setting of 20.
The MTF CYCLE FILTER area is used to set the time-frame used as filter to plot the colored indicator background in red and green areas when the higher time-frame indicator is above (red) or below (green) the dynamic bands. These indicate the period of time with high probability to look for signals on the main indicator line.
The MTF Resolution parameter input is important for generating the highlighted red/green areas on the indicator panel. You must enter a higher time-frame than your indicator time-frame in order to get the reliable highlighting. We recommend the following combinations of trading time-frame and filter time-frame resolutions:
Chart Timeframe | MTF Indicator Highlighting Resolution
------------------------------------------------------------------------
20 min | 2 h
2 h | 1 d
You can enter the current dominant cycle length on the chosen higher time-frame resolution to even further optimize the indicator accuracy in the field "MTF CYCLE FILTER - Cycle Length".
The Style sections allows to active/de-active individual plots. The standard setting disables the higher time-frame csRSI indicator which is only used to indicate the colored areas. If required, you can also enable the MTF indicator and adaptive bands to be plotted in the same indicator panel. The values shown in the style section also indicate which values are available for individual alert generation.
Automatic Signals & Alerts
It is possible to create your own automatic signals with the csRSI MTF indicator using the TradingView alert function. Click on the three dots "More" beside the indicator name label and select "Add Alert on csRSI ..." from the context menu. For example, if you want to receive an alert when the high probability periods (red/green highlighted areas) have been reached for a symbol without manually watching the indicator panel, you can set up a custom alert. The csRSI indicator provides the raw values necessary to set up your alarm conditions. Set the "CSRSI MTF" as the value for the "Out of Channel" condition and select the "HigBand MTF" and "LowBand MTF" indicator values as the upper and lower limit parameters in the alarm's dialog box. Once you have set up this alarm, you will not need to monitor your charts manually. The TradingView alert will inform you as soon as an important time zone is reached. These are the situations when you would open the chart and watch for trigger signals on the indicator line. If you set up this alert as an email, you can even focus on other things and let the csRSI MTF highlighter condition alert you when you should pay attention to the trading chart.
Usage & Trade Signals
Classic rules apply as with every technical oscillator. In addition use this indicator to identify the following conditions:
Indicator turns above/below the adaptive upper and lower bands (expected trend reversals)
Indicator crosses below upper band / crossed above lower band (start of trend reversal)
Indicator crosses above upper band / crossed below lower band (trend continuation/confirmation)
Divergence between price / indicator indicate strong signal confidence
Hidden divergences between price/indicator indicate string signal confidence
After strong price movements, wait for the second signal confirmed by a divergence
Use the mentioned conditions in the highlighted red/green periods indicated by the MTF settings
Purpose & Disclaimer
This indicator is not designed for use as an automated trading strategy. This is an improved technical indicator using the dominant cycle to provide its advanced features. The basic applications of technical analysis for using oscillators apply. The script is intended for use in discretionary trading and can be used as a part of automated systems. Indicator signal failures will occur as you should expect with every technical indicator. If you are not sure if this indicator might help your trading style, please try and check our open source public version which will give you basic understanding upfront.
Basic open-source public version
This indicator is an advanced version of our public available open-source cyclic smoothed RSI indicator named "RSI cyclic smoothed v2". The advanced invite-only version provides fully automatic time frame highlighting by using a cyclically smoothed RSI from a higher time frame to indicate time frames with high probability signals. These high probability windows are highlighted when the indicator from the higher time frame is in dynamic overbought or oversold territory. You will find the basic open-source public version here below for your own review:
How to get access
Please check the "authors instructions" section for further details.
Morphed Sine WaveIntroduction
If you rescale a sine wave to the price you will need to correlate it with it in order to show good results, today i present a different method that does not involve correlation to "morph" a sine wave to the price in order to provide forecast's and highlight market periodic patterns.
Parameters
length control the period of the sine wave, power control the "morphing" amount, if you see for example that the results are going nuts try to increase power , if the results are just the price and the delayed price try to decrease power .
power = 1
power = 100
Those settings might be different depending on which market you are in.
Various Uses
You can do a lot of things with this indicator, use filters as source :
Use the indicator as source for oscillators in order to create cycles indicators :
And certainly many more things
Conclusion
I presented a way to morph a sine wave to the price i order to highlight cycles. You can use any function that return a value between -1 and 1 instead of sin , this can be a scaled rsi/stochastic or correlation coefficient, its up to you :)
If you need help don't hesitate to commend or pm me. I hope you will like the indicator and that it will inspire you to make great things.
Thanks for reading !
VACPWelles Wilder (delta phenomenon) a 4-day rotation indicator
PVAC is the acronym Alan uses for a four-day rotation cycle. The cycle itself is circularly continuous every days of the week, forever, including every holiday. Thus if, for instance, Monday was a P, Tuesday is V, Wednesday is A, Thursday is C. At this point the cycle repeats, with Friday being P, Saturday being V, Sunday being A, and the following Monday being C.
Having started, the cycle never changes. While each day tends to have the characteristics shown below, like all cycle tools, there are inversions, which will last a cycle or at times even more, and have reasonable odds of inverting regularly.
A trader who wants to incorporate a four-day rotation cycle into their work is encouraged to study for themselves whether this adds value.
Day: V-day Color: Red Characteristics: Closes well for bulls; Use your fleece bars Bar8 and Bar11; Bar8 open often a V-day return target; 'V' return comes early in day in bear moves, late in day in bullish moves
Day: A-day Color: Blue Characteristics: Closes poorly for bulls; Use your fleece bars 8 and 11; Generally 'A' shaped, but may have a kick-leg after 3pm
Day: C-day Color: Orange Characteristics: Consolidation day, aka 'consoly' day. It may not chop, but it may have an
accumulation or distribution quality to the action; Trade often and trade fast; Pattern traders fade 4HHs and 4LLs with backfill/pullbacks 3 bars later; Apexes and angulars tend to have less importance; Numerical traders trade after Bar8 open and use support one horizontal below, resistance one horizontal above; C-day opens often at the 25%; The afternoon action tends to be opposite to the morning action
Day: P-day Color: Green Characteristics: Often a trend day. Find the trend and enter it; Often opens at the 75%; Trade P-days against a quartile; Watch for price to be above/below the first apex: buy above or sell below ; Do not fade dead zone, minimal trading
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool
This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights.
Key Features:
• Automatic Bull/Bear Market Zone Detection with color-coded areas
• Historical Halving Analysis (2012-2028) with future projections
• Live Performance Tracking during bull phases (returns, max drawdown)
• Customizable cycle parameters (days before/after halving)
• Interactive info table showing current cycle phase and metrics
• Visual timeline markers for halving dates and cycle boundaries
Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
Bitcoin Logarithmic Growth Curve 2025 Z-Score"The Bitcoin logarithmic growth curve is a concept used to analyze Bitcoin's price movements over time. The idea is based on the observation that Bitcoin's price tends to grow exponentially, particularly during bull markets. It attempts to give a long-term perspective on the Bitcoin price movements.
The curve includes an upper and lower band. These bands often represent zones where Bitcoin's price is overextended (upper band) or undervalued (lower band) relative to its historical growth trajectory. When the price touches or exceeds the upper band, it may indicate a speculative bubble, while prices near the lower band may suggest a buying opportunity.
Unlike most Bitcoin growth curve indicators, this one includes a logarithmic growth curve optimized using the latest 2024 price data, making it, in our view, superior to previous models. Additionally, it features statistical confidence intervals derived from linear regression, compatible across all timeframes, and extrapolates the data far into the future. Finally, this model allows users the flexibility to manually adjust the function parameters to suit their preferences.
The Bitcoin logarithmic growth curve has the following function:
y = 10^(a * log10(x) - b)
In the context of this formula, the y value represents the Bitcoin price, while the x value corresponds to the time, specifically indicated by the weekly bar number on the chart.
How is it made (You can skip this section if you’re not a fan of math):
To optimize the fit of this function and determine the optimal values of a and b, the previous weekly cycle peak values were analyzed. The corresponding x and y values were recorded as follows:
113, 18.55
240, 1004.42
451, 19128.27
655, 65502.47
The same process was applied to the bear market low values:
103, 2.48
267, 211.03
471, 3192.87
676, 16255.15
Next, these values were converted to their linear form by applying the base-10 logarithm. This transformation allows the function to be expressed in a linear state: y = a * x − b. This step is essential for enabling linear regression on these values.
For the cycle peak (x,y) values:
2.053, 1.268
2.380, 3.002
2.654, 4.282
2.816, 4.816
And for the bear market low (x,y) values:
2.013, 0.394
2.427, 2.324
2.673, 3.504
2.830, 4.211
Next, linear regression was performed on both these datasets. (Numerous tools are available online for linear regression calculations, making manual computations unnecessary).
Linear regression is a method used to find a straight line that best represents the relationship between two variables. It looks at how changes in one variable affect another and tries to predict values based on that relationship.
The goal is to minimize the differences between the actual data points and the points predicted by the line. Essentially, it aims to optimize for the highest R-Square value.
Below are the results:
snapshot
snapshot
It is important to note that both the slope (a-value) and the y-intercept (b-value) have associated standard errors. These standard errors can be used to calculate confidence intervals by multiplying them by the t-values (two degrees of freedom) from the linear regression.
These t-values can be found in a t-distribution table. For the top cycle confidence intervals, we used t10% (0.133), t25% (0.323), and t33% (0.414). For the bottom cycle confidence intervals, the t-values used were t10% (0.133), t25% (0.323), t33% (0.414), t50% (0.765), and t67% (1.063).
The final bull cycle function is:
y = 10^(4.058 ± 0.133 * log10(x) – 6.44 ± 0.324)
The final bear cycle function is:
y = 10^(4.684 ± 0.025 * log10(x) – -9.034 ± 0.063)
The main Criticisms of growth curve models:
The Bitcoin logarithmic growth curve model faces several general criticisms that we’d like to highlight briefly. The most significant, in our view, is its heavy reliance on past price data, which may not accurately forecast future trends. For instance, previous growth curve models from 2020 on TradingView were overly optimistic in predicting the last cycle’s peak.
This is why we aimed to present our process for deriving the final functions in a transparent, step-by-step scientific manner, including statistical confidence intervals. It's important to note that the bull cycle function is less reliable than the bear cycle function, as the top band is significantly wider than the bottom band.
Even so, we still believe that the Bitcoin logarithmic growth curve presented in this script is overly optimistic since it goes parly against the concept of diminishing returns which we discussed in this post:
This is why we also propose alternative parameter settings that align more closely with the theory of diminishing returns."
Now with Z-Score calculation for easy and constant valuation classification of Bitcoin according to this metric.
Created for TRW
21DMA Structure Counter (EMA/SMA Option)21DMA Structure Counter (EMA/SMA Option)
Overview
The 21DMA Structure Counter is an advanced technical indicator that tracks consecutive periods where price action remains above a 21-period moving average structure. This indicator helps traders identify momentum phases and potential trend exhaustion points using statistical analysis.
Key Features
Moving Average Structure
- Configurable MA Type: Choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average)
- 21-Period Default: Optimized for the widely-watched 21-period moving average
- Triple MA Structure: Tracks high, close, and low moving averages for comprehensive analysis
Statistical Analysis
- Cycle Counting: Automatically counts consecutive periods above the MA structure
- Historical Data: Maintains up to 2,500 historical cycles (approximately 10 years of daily data)
- Z-Score Calculation: Provides statistical context using mean and standard deviation
- Multiple Standard Deviation Levels: Displays +1, +2, and +3 standard deviation thresholds
Visual Indicators
Color-Coded Bars:
- Gray: Below 10-year average
- Yellow: Between average and +1 standard deviation
- Orange: Between +1 and +2 standard deviations
- Red: Between +2 and +3 standard deviations
- Fuchsia: Above +3 standard deviations (extreme readings)
Breadth Integration
- Multiple Breadth Options: NDFI, NDTH, NDTW (NASDAQ breadth indicators), or VIX
- Background Shading: Visual alerts when breadth reaches extreme levels
- High/Low Thresholds: Customizable levels for breadth analysis
- Real-time Display: Current breadth value shown in data table
Smart Reset Logic
- High Below Structure Reset: Automatically resets count when daily high falls below the lowest MA
- Flexible Hold Period: Continues counting during temporary weakness as long as structure isn't violated
- Precise Entry/Exit: Strict criteria for starting cycles, flexible for maintaining them
How to Use
Trend Identification
- Rising Counts: Indicate sustained momentum above key moving average structure
- Extreme Readings: Z-scores above +2 or +3 suggest potential trend exhaustion
- Historical Context: Compare current cycles to 10-year statistical averages
Risk Management
- Breadth Confirmation: Use breadth shading to confirm market-wide strength/weakness
- Statistical Extremes: Exercise caution when readings reach +3 standard deviations
- Reset Signals: Pay attention to structure violations for potential trend changes
Multi-Timeframe Application
- Daily Charts: Primary timeframe for swing trading and position management
- Weekly/Monthly: Longer-term trend analysis
- Intraday: Shorter-term momentum assessment (adjust MA period accordingly)
Settings
Moving Average Options
- Type: EMA or SMA selection
- Period: Default 21 (customizable)
- Reset Days: Days below structure required for reset
Visual Customization
- Standard Deviation Lines: Toggle and customize colors for +1, +2, +3 SD
- Breadth Selection: Choose from NDFI, NDTH, NDTW, or VIX
- Threshold Levels: Set custom high/low breadth thresholds
- Table Styling: Customize text colors, background, and font size
Technical Notes
- Data Retention: Maintains 2,500 historical cycles for robust statistical analysis
- Real-time Updates: Calculations update with each new bar
- Breadth Integration: Uses security() function to pull external breadth data
- Performance Optimized: Efficient array management prevents memory issues
Best Practices
1. Combine with Price Action: Use alongside support/resistance and chart patterns
2. Monitor Breadth Divergences: Watch for breadth weakness during strong readings
3. Respect Statistical Extremes: Exercise caution at +2/+3 standard deviation levels
4. Context Matters: Consider overall market environment and sector rotation
5. Risk Management: Use appropriate position sizing, especially at extreme readings
Disclaimer
This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis and proper risk management techniques.
Compatible with Pine Script v6 | Optimized for daily timeframes | Best used on major indices and liquid stocks
Bitcoin: Pi Cycle Top & Bottom | QuantumResearchBitcoin: Pi Cycle Top & Bottom | QuantumResearch
Adaptive Deviation Model for Bitcoin Macro Extremes
Bitcoin: Pi Cycle Top & Bottom by QuantumResearch is a proprietary interpretation of the famous Pi Cycle concept—enhanced with normalized deviation logic, adjustable thresholds, and visual clarity. Unlike traditional models that simply cross two moving averages, this tool calculates the dynamic spread between a short-term and amplified long-term exponential average, delivering a continuous score that adapts to Bitcoin's evolving volatility profile.
🧠 What Makes It Unique?
🔹 Pi Deviation Engine:
This creates a centered, symmetric oscillator that better visualizes overextended conditions—something the original Pi Cycle model does not offer.
🔹 Dynamic Zoning via Thresholds:
Users can set custom top and bottom thresholds to adjust sensitivity based on current market regimes, making it more flexible than static crossover models.
🔹 Gradient-Powered Area Fill:
The oscillator plot is filled with directional gradients that react to the score's magnitude, creating an intuitive visual spectrum between bullish and bearish extremes.
🔹 Macro-Focused, Overlay-Free:
The indicator runs in a clean subpanel, preserving chart space and allowing better integration into multi-layered macro dashboards.
🔹 Built for BTC’s Unique Structure:
The moving average lengths and logic are specifically calibrated to Bitcoin’s halving-driven cycles, unlike generic Pi models applied across asset classes.
🔍 Key Features
✅ Continuous Cycle Score (not binary crosses)
✅ Custom upper/lower thresholds for signal flexibility
✅ Visual gradient fill and background shading
✅ Zero chart clutter (non-overlay)
✅ Fully customizable moving average lengths
✅ Designed for macro cycle top/bottom detection
📌 Ideal For:
Long-term Bitcoin investors
Macro traders and analysts
Those seeking early warning signs of euphoria or despair
Anyone using on-chain + cyclical tools to time large market pivots
⚠️ Disclaimer
This indicator is for educational and research purposes only.
It does not provide financial advice or guarantees.
Past performance does not predict future behavior.
Always confirm with additional tools and analysis.
Planetary Signs█ OVERVIEW
This script is designed to highlight planetary signs. All 12 signs on all planets going from Mercury to Pluto on both Geocentric and Heliocentric settings.
If you are an astrology trader or if you do trade cycles, this script might be great for you because it highlights all these cycles automatically.
You can select one sign or multiple signs at once, you are also able to change the color of the cycle. It should work on all time frame but with future dates it's only set to daily resolution at the moment. Current time is in sync perfectly to the minute when the sign change.
█ Future Plans and upgrades to this script may include :
1. Increase future resolution; it's set to 120 days into the future with daily resolution.
2. More styling and labeling options
And more! Feel free to contact me with any feature that you would like to see in this script
█ How to use :
1. Open the settings.
2. Select the planet.
3. Enable your favorite sign or signs.
Then Press OK & give the script a few seconds and you should be set. You can add this script to your chart more than once!
This script is coded as an addon to the Gann ToolBox package/scripts.
Half-Pi Cycle CKB top indicator (insanely experimental)This is an insanely experimental script. It's a modified version of the Bitcoin pi-cycle top indicator.
It changes the Bitcoin pi-cycle top formula by halving the number of days in the two DMAs used in calculation, from 350/111 to 175/56. So I call it the half-pi cycle. It correctly picked the top of CKB (Nervos Network) vs USDT on Huobi in spring 2021 within three days.
It probably is a coincidence, and could very easily not pick the next cycle peak correctly at all. Using such a short number of days makes it a little dubious, but I had no choice since there's only so much price history for this coin. I strongly advise you to not make any trades based on this script ! I cannot be held accountable if you lose money due to this script. It hasn't been shown to be accurate multiple times like the Bitcoin pi-cycle top indicator. I simply find this interesting and want to see if it works next time.
Wyckoff PhaseMap Overlay [FxalgoxPro]📊 Wyckoff PhaseMap Overlay
Professional Wyckoff Market Cycle Indicator for TradingView
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🎯 OVERVIEW
The Wyckoff PhaseMap Overlay is a sophisticated indicator that automatically identifies and visualizes the four phases of the Wyckoff Market Cycle on your price chart, combining price action analysis with volume confirmation to detect:
Phase 1: Accumulation (Cause)
Phase 2: Mark Up (Effect)
Phase 3: Distribution (Cause)
Phase 4: Mark Down (Effect)
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🔑 KEY FEATURES
📈 Phase Detection
Accumulation : Identifies selling climax (SC), automatic rally (AR), secondary tests (ST), and springs
Mark Up : Detects sustained uptrend with higher highs/higher lows structure
Distribution : Recognizes buying climax (BC), UTAD (upthrust after distribution), and range formation
Mark Down : Confirms breakdown with volume and downtrend structure
🎨 Visual Elements
Phase Background Colors : Optional color-coded backgrounds for each phase
Range Lines : Dynamic support/resistance levels during accumulation and distribution
Event Markers : Clear labels for Spring, UTAD, JTC (Jump the Creek), and breakdowns
Trend MA Overlay : Moving average for trend confirmation
Phase Labels : Large, descriptive labels when phases change
📊 Dashboard
Real-time phase status
Volume climax indicator
Event counters (Spring, UTAD, JTC)
Customizable position and size
🔔 Alerts
Phase change notifications
Spring detection
UTAD detection
Jump the Creek confirmation
Breakdown signals
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⚙️ CONFIGURATION
Wyckoff Phases (Main Settings)
Parameter | Default | Description
---------------------------- | ------- | -------------
Trend MA Length | 50 | Moving average for trend detection
Volume Climax Threshold | 1.5 | Multiplier for average volume to detect climax events
Range Detection Length | 14 | Lookback period for range identification
Phase 1: Accumulation
Toggle accumulation phase display
Show/hide Spring events
Show/hide AR (Automatic Rally) and ST (Secondary Test)
Customize phase and spring colors
Phase 2: Mark Up
Toggle mark up phase display
Show/hide Jump The Creek (JTC) events
Customize phase and JTC colors
Phase 3: Distribution
Toggle distribution phase display
Show/hide UTAD events
Show/hide BC (Buying Climax)
Customize phase and UTAD colors
Phase 4: Mark Down
Toggle mark down phase display
Customize phase and breakdown colors
Visual Settings
Show Phase Labels : Display large phase transition labels
Show Event Markers : Display Spring, UTAD, JTC markers
Show Phase Background : Color-code background by current phase
Dashboard
Show Dashboard : Toggle statistics panel
Position : Top Right / Bottom Right / Bottom Left
Size : Tiny / Small / Normal
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🧠 HOW IT WORKS
Phase Detection Logic
1️⃣ Accumulation (Cause)
Triggers:
- Selling climax detected (high volume + down move)
- Price enters range-bound consolidation
- Low volume compression
- Spring: False breakdown below support with low volume
2️⃣ Mark Up (Effect)
Triggers:
- Jump The Creek (JTC): Breakout from accumulation range
- Volume confirms breakout (>1.3x average)
- Higher highs and higher lows structure
- Price above trend MA
3️⃣ Distribution (Cause)
Triggers:
- Buying climax detected (high volume + up move)
- Price enters range-bound consolidation after uptrend
- UTAD: False breakout above resistance with volume
- Range compression
4️⃣ Mark Down (Effect)
Triggers:
- Breakdown from distribution range
- Volume confirms breakdown (>1.3x average)
- Lower lows and lower highs structure
- Price below trend MA
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📝 EVENT DEFINITIONS
Event | Phase | Description | Visual
-------- | ------------- | ------------------------------------------------ | -------------------------
SC | Accumulation | Selling Climax - panic selling with high volume | Volume spike + price drop
AR | Accumulation | Automatic Rally - bounce from oversold | Recovery move
ST | Accumulation | Secondary Test - retest of lows | Low volume test
Spring | Accumulation | False breakdown below support | 🟢 Label below
JTC | Mark Up | Jump The Creek - confirmed breakout | 🔵 Label (transition)
BC | Distribution | Buying Climax - euphoric buying with high volume | Volume spike + price rise
UTAD | Distribution | Upthrust After Distribution - false breakout | 🟠 Label above
SOW | Mark Down | Sign of Weakness - confirmed breakdown | 🔴 Label (transition)
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🎯 USE CASES
For Traders
Identify accumulation zones for potential long entries
Recognize distribution zones for potential short entries or exits
Confirm trend changes with phase transitions
Avoid false breakouts (Springs and UTADs)
Time entries using Jump The Creek signals
For Analysts
Market structure analysis across multiple timeframes
Volume-price divergence identification
Institutional behavior tracking (accumulation/distribution)
Cycle completion analysis
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🎨 RECOMMENDED SETTINGS
For Swing Trading (Daily/4H)
Trend MA Length: 50
Volume Climax Threshold: 1.5
Range Detection Length: 14
For Intraday Trading (1H/15m)
Trend MA Length: 20
Volume Climax Threshold: 2.0
Range Detection Length: 10
For Long-term Investors (Weekly)
Trend MA Length: 100
Volume Climax Threshold: 1.3
Range Detection Length: 20
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📚 WYCKOFF METHOD RESOURCES
The indicator is based on Richard Wyckoff's market cycle theory:
Accumulation → Smart money accumulates while retail panics
Mark Up → Price rises as smart money distributes to late buyers
Distribution → Smart money exits while retail buys
Mark Down → Price falls as retail holds losing positions
Learn More:
Wyckoff Analytics
Market cycle analysis
Volume Spread Analysis (VSA)
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⚠️ IMPORTANT NOTES
Volume Required : Indicator requires volume data (won't work on some Forex brokers without volume)
Timeframe : Best results on 1H, 4H, Daily, Weekly
Confirmation : Always combine with other analysis methods
Context : Phase detection improves with clean, trending markets
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🐛 TROUBLESHOOTING
Q: Why aren't any phases showing?
Ensure volume data is available for your symbol
Try adjusting Volume Climax Threshold (lower = more sensitive)
Check if Show Phase Background is enabled
Q: Too many false signals?
Increase Volume Climax Threshold for stricter detection
Increase Range Detection Length for better range identification
Use higher timeframes (4H/Daily)
Q: Dashboard not showing?
Check Show Dashboard is enabled in settings
Ensure panel isn't off-screen (try different position)
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👨💻 CREDITS
Developer : Fxalgox
Method : Richard Wyckoff Market Cycle Theory
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💡 TIPS FOR BEST RESULTS
Combine with Market Context : Use alongside market structure analysis
Multi-timeframe Confirmation : Check higher timeframe phase alignment
Volume is Key : Pay attention to volume climax indicators in dashboard
Be Patient : Wait for phase confirmations before taking action
Use Alerts : Set up alerts for phase changes and key events
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Happy Trading! 📈
Remember: This indicator is a tool for analysis, not financial advice. Always manage risk appropriately.
Pipnotic Asset Strength HistogramDescription
The Pipnotic Asset Strength Histogram (ASH) was originally developed to provide traders with a structured approach to identifying market cycles and momentum shifts. Due to increasing demand, it has been adapted for TradingView, ensuring traders can leverage its insights directly on their charts. This tool is particularly useful for spotting divergences, trend reversals, and price imbalances, making it an essential addition for traders who rely on momentum and strength-based analysis. We will continue to actively develop this indicator to enhance its functionality and accuracy.
How It Works
The ASH follows a systematic approach to analyse price movements and highlight key market dynamics:
Momentum & Cycle Analysis
Evaluates price movements using a dual-smoothing methodology.
Identifies shifts in momentum that indicate potential reversals or trend continuations.
Divergence Detection
Highlights instances where price action diverges from underlying momentum, signalling potential trading opportunities.
Helps confirm trade setups based on hidden and regular divergences.
Dynamic Visualization & Alerts
Plots a histogram to provide a clear visual representation of market strength.
Identifies buy and sell zones based on historical price deviations.
Updates dynamically, adapting to changing market conditions to maintain relevance.
Key Features & Inputs
Customizable Sensitivity: Traders can fine-tune cycle smoothing values to match different trading styles.
Clear Buy & Sell Zones: Highlights potential high-probability trading areas based on historical deviations.
Flexible Visualization: Adjustable histogram colours, line width, and mean deviation settings for optimal clarity.
Adaptability Across Markets: Works effectively on stocks, forex, crypto, and commodities.
Compatible with Various Trading Strategies: Can be used alongside trend-following, breakout, and reversal strategies for enhanced trade confirmation.
Benefits of Using the Pipnotic ASH Indicator
Market Timing: Helps traders identify optimal entry and exit points based on momentum shifts.
Reduces Subjectivity: Automates the detection of market strength and divergence, ensuring consistency.
Adapts to Market Conditions: Adjusts dynamically to price changes, ensuring relevant signals.
Saves Time & Effort: Eliminates the need for manual divergence analysis.
Works on All Timeframes: Suitable for scalping, swing trading, and long-term investing.
The Pipnotic Asset Strength Histogram is designed to streamline market analysis by providing clear, actionable insights into momentum shifts and divergences. Whether you're a day trader or a long-term investor, this tool helps refine your decision-making and enhance your trading strategy.
Adaptive Fisherized CMOIntroduction
Heyo, here is another no-repaint adaptive fisherized indicator.
I added Inverse Fisher Transform, Ehlers dominant cycle analysis and smoothing to the Chande Momentum Oscillator (CMO).
Usage
The CMO is a momentum oscillator which shows the usual movement of an asset.
I recommend to use it from a lower timeframe with a higher timeframe set.
Signals
(Signal mode will come soon.)
Zero Line
CMO crosses above zero line => enter long
CMO cross below zero line => ente short
Overbought/Oversold
CMO crosses above bottom band => enter long
CMO crosses under top band => enter short
MA (Maybe this signals will vary. Then, check update notes.)
CMO crosses above MA => enter long
CMO crosses below MA => enter short
Enjoy and share your experience with it!
More to read: CMO Explanationsp
Pi Cycle indicator for Bitcoin bull market cyclesA simple implementation of the Pi cycle indicator for BTC. Plots the 111 days SMA and 2*(350 days SMA).
When the 111 days MA reaches above the 350 one, we can consider the market got too high too fast.
Checked for the last cycles of BTC.
Dominant Cycle Adaptive MACDThis Indicator is based on classic MACD but with an exceptional smoothing.
This smoothing eliminates the noise of the classic MACD as you see in the Chart
Adaptive MACD is compiled using with two adaptive moving averages, one adaptive to the dominant cycle and the other adaptive to twice the dominant cycle. As the basic behind the MACD is the difference of two moving averages we cannot find much difference between the conventional MACD (12, 26) and the adaptive MACD. However the adaptive MACD is less prone for less whipsaws and it catches the trends very well at the same time the catches the turning points in time. The Adaptive MACD is definite one notch better than the conventional MACD.
Dominant Cycle Period is calculated using Ehler's Method {Mentioned in the code}
This is how the Adaptiveness Impacts the Price Chart
1. (12, 26 EMA) VS Adaptive Dominant Cycle EMA
2. See how the Adaptive Lengths {both FastLength and SlowLength changes with time!}
Enjoy!
Macro Cycles (Daily)Macro Cycles (Daily) is an indicator meant to show long-term cyclic trends on a daily scale
- Red line: Cycle Top
- Green line: Cycle Bottom
- Red Area: Bearish
- Green Area: Bullish
- No Area: Price Discovery
- Grey Background: Accumulation Zone
- Range Input: Lets you fine tune the placement of the Red and Green lines
* This is not financial advice. Proceed with caution friend
Pi Cycle Bitcoin Top IndicatorThe script implements the Pi Cycle Top indicator
This indicator identifies tops in the bitcoin market cycle. Historically, the Pi Cycle Top indicator has called out tops in the price of bitcoin within three days.
The script is very easy to use and it is possible to change the following parameters:
the time interval (default value is day);
the days of long moving average (default value is 365)
the days of short moving average (default value is 111)
show the moving average plots
show the Pi Cycle Top label highlighting the cross-point
Zentrading Trend Indicator v3.1This is a script for beta testing only.
Based on ichimoku, but with slightly different behaviour, with many added features such as : trend detection, momentum detection, multiple time frame support/resistance levels, exhaustion/reversal signals.
Used in conjunction with the other ZT indicators (ZT momentum, ZT CyclePhase, and ZT Volumebars) the strategy provides very distinct setups to trade for reversals, breakouts and pullbacks.
ZenTrading CyclePhaseThis is a script for beta testing only.
Used to mainly to spot (short-term) divergences
