Color Agreement Aggregate (CAA)This indicator helps finding patterns within market structure in a highly intuitive manner.
It does this by painting a picture instead of presenting numerical values.
It greatly reduces noise in trend/structure analysis.
----- HOW TO USE IT -----
1) Zoom out of chart to get a clearer picture of overall color patterns.
2) Consider areas of intense reds and greens as areas of interest.
3) There is always a pattern of intense reds followed by intense greens. Consider this pattern as the start of a new cycle.
4) Key spikes and dips are shown when all 3 bands are matching of intense colors.
5) Turn on Precision in the Style tab to get more information on decisive spikes in price (See "Precision" below).
Reach (top band):
This is the fast and more volatile movement of the market. It shows the direction in which the recent price action is reaching towards.
Energy (middle band):
This is the medium speed of market movement. It shows the energy of the Reach and how influential it is to market change.
Frequent and intense change of color in this band can be a precursor of change within the Basis.
Basis (bottom band):
This is the slower, broader movement of the market. It is the basis on which the Reach and Energy sit on.
Intense colors in this band show major changes in price levels and market structure.
Precision:
Precision shows the weaker levels of colors. It does this by making bars in a band half its size.
For example, if there is a light green bar that is half, it means that the current bar is on the weaker level of the light green level.
Precision helps in identifying where there are influential moves in price action. Note, there will never be a half-sized bar in the highest and lowest levels.
This is because these levels are the limits and don't have a weaker half.
See notes in chart for more information. Note, you can turn off the labels in the Style tab.
----- HOW THIS INDICATOR IS ORIGINAL; WHAT IT DOES AND HOW IT DOES IT -----
This indicator has an original, unique ability to paint the overall market structure in a highly intuitive manner. It "paints" an image instead of showing numbers.
It does this by color-coding different levels of varying speeds of market movement. It then presents these levels as simple bars.
Finally, it stacks them all and creates an overall image of clear breaks and/or repeats within market structure.
This greatly reduces noise in pattern finding, finding breaks in market structure, and in confirming repeated patterns.
----- VERSION -----
The only significant information from this indicator are the colors themselves and the patterns, agreement, and aggregate of the colors.
This indicator does not provide any numerical information of the underlying, mathematical calculations.
The levels for the Reach are made by the KPAM; for the Energy, the CCI; and for the Basis, the RSI.
However, this indicator is not a variant, replacement, or presentation of the KPAM, CCI, or the RSI in any way, shape, or form -- this indicator does not present itself as such.
The 3 indicators are only useful to this indicator in as much as they are what the colors are derived from -- nothing more.
They are needed in order to obtain, visualize, and create the overall aggregate and agreement of colors.
Thus, the KPAM, CCI, and RSI cannot be adjust nor are they plotted. They are not, in any way, a focus of this indicator.
Cerca negli script per "Cycle"
BTC ATH ROIThis indicator shows the ROI % of Bitcoin from when it passed its ATH of the previous bull cycle. I found it interesting that each time it crossed its ATH it took around 260-280 days to peak for each one. This bull run seems to follow between both of the previous bull runs including this recent dip.
There are a couple issues I want to fix but can't figure out:
1. You need to completely scroll out and move towards 2013 on the Daily chart for all 3 lines to show up. Would be nice to load all of that data at the start.
2. I can't query the value of the plots after they have been offset. This would be useful to create a prediction bias for the current plot so would could see where btc might go.
If you peeps know of a way to load all data or query plot values after offsets, please share. That would be awesome.
OFA - Order Flow AnalysisThe script analyzes order flow based on fractal structure breaks. Every time there is a fractal breakout in the opposite direction of the dominant side in control a new leg ( bullish or bearish ) forms. This script comes with the added value of displaying the velocity and the magnitude of each leg/cycle.
Order flow leaves a trail of the future market intentions via the ability or lack thereof of the aggregated flow to keep consuming liquidity provided by market makers and find or not equilibrium in price. The proper reading of order flow can provide information advantage. Flows can be read via two main venues:
1 - Magnitude: A major clue that will help determine the health of a trend is the type of progress by the dominant side in control of the trend. We need to ask the following question: Are the new legs in the active buy-sell side campaign as identified by the script increasing or decreasing in magnitude?
2. Velocity: When it comes to the distance the price moves, the magnitude is only ½ the equation. The other ½ has to do with the velocity of the move or the speed. Was the new leg created after a fast and impulsive move? Or did price make a new low or high with the movement being sluggish, compressive and taking too long to form? A good rule of thumb is to count the number of candles it took to achieve a new leg.
Ehler Stochastic Cyber Cycle Signals/AlertsThis script works based on @everget's version of Ehler Stochastic Cyber Cycle. Unlike @everget's work, my adaptation prints only crossovers into the chart that occur above or below the overbought/oversold zone.
You can find @everget's script with all related documentation here
I didn't change the calculation, I only reinvented how it is presented on the chart and added alerts.
5x Period Cycle SeasonalityShows the average from the last 5 periods for close price cycle. For example to see the annual seasonality of a stock for the last 5 years use on daily chart with the default setting of 252, the number of trading days in a year, approximately.
4shine buy & sell magic) v2Indicator using RSI + Dominant Cycle
Be cautious of trading volume.
If the volume is too low, this indicator may not be effective.
It is recommended to use this in accordance with your own trading strategy.
Easy life
Easy earn
Easy money
by 4shine (PJH)
BTC Transaction Indicator Name: "Bitcoin On-Chain Volume & Dynamic Parabolic Curve Signals"
Purpose:
This indicator is designed for Bitcoin traders and long-term holders. It combines the analysis of Bitcoin's on-chain transaction volume with price action to generate "Whale" and "Bear" signals. Additionally, it features a unique dynamic parabolic curve that acts as a visual support line, adapting its visibility based on price interaction with a key Exponential Moving Average (EMA).
Key Components:
On-Chain Volume Analysis:
Utilizes Estimated Transaction Volume (ETRAV) data from the Bitcoin blockchain.
Calculates fast and slow Simple Moving Averages (SMAs) of this volume.
Identifies volume trends (up/down) and significant volume increases/decreases.
Employs fixed thresholds (2,500,000 for low volume and 25,000,000 for high volume) to define key activity levels, similar to how historical on-chain analysis defined accumulation and distribution zones.
Price Action Analysis:
Calculates fast and slow SMAs of the price.
Detects price trends (up/down), recoveries, and declines based on these price SMAs.
"Whale" and "Bear" Signals:
Whale Signals (Buy-side): Generated when there's an upward volume trend, significant volume increase, and a downward price trend followed by price recovery. These indicate potential accumulation phases.
Bear Signals (Sell-side): Generated when there's a downward volume trend, significant volume decrease, and an upward price trend followed by price decline. These indicate potential distribution phases.
Visuals: Both types of signals are plotted as small, colored circles directly on the price chart, with corresponding text labels ("Whale," "Buy," "Bear," "Sell," "Price Recovering," "Price Declining").
Dynamic Parabolic Curve:
Concept: A green parabolic (exponential) curve that serves as a dynamic visual support line.
Activation: The curve starts drawing automatically only when the price crosses over the EMA 500 (Exponential Moving Average of 500 periods). The curve's starting point is set at a user-defined percentage below the EMA 500 value at that exact crossover point.
Visibility: The curve remains visible and continues its trajectory only as long as the price stays above the EMA 500.
Deactivation: The curve disappears instantly if the price falls below or equals the EMA 500. It will only reappear if the price crosses above the EMA 500 again.
Customization: The curve's steepness (Tasa Crecimiento Curva) and its initial distance from the EMA 500 (Inicio Curva % por debajo de EMA500) are adjustable.
Dynamic Label: A "Parabólico" text label is plotted near the center of the active curve segment, with an adjustable vertical offset to ensure it stays visually appealing below the curve.
What is PLOTTED on the chart:
The small, colored circle signals for Whale/Buy and Bear/Sell activity.
The green dynamic parabolic curve.
What is NOT PLOTTED:
EMA 200, EMA 500 lines (though they are calculated internally for logic).
Raw volume data or volume Moving Averages (these are only used for signal calculation, not plotted).
Ideal for:
Bitcoin traders and investors focused on long-term trends and cycle analysis, who want visual cues for accumulation/distribution phases based on on-chain activity, complemented by a unique, dynamically appearing parabolic support curve.
Important Notes:
Relies on the availability of external on-chain data (QUANDL:BCHAIN) within TradingView.
Functions best on a daily timeframe for optimal on-chain data relevance.
Price to Bar Ratio - Scale / Scales / ScalingPrice to Bar Ratio - Scaling
The Price to Bar Ratio - Scaling indicator for TradingView is designed for traders who utilize Gann-based techniques, Michael Jenkins methodologies, or geometric market analysis. It calculates the relationship between price movement and time (bars), providing a bar-to-price ratio that traders can use to align their charts with structured scaling methods.
Key Features:
• Geometry-Based Scaling – Designed for traders using market geometry, time/price balancing, or cycle analysis.
• Automatic Ratio Calculation – Computes a bar-to-price ratio based on price movement and time.
• Square & Rectangle Modes – Provides different scaling approaches to suit various analytical methods.
• Balanced Chart Structure – Helps maintain a proportional relationship between price and time.
• Customizable Inputs – Adjustable parameters for flexibility across different markets, assets, and timeframes.
How to Use:
1. Apply the Price to Bar Ratio - Scaling indicator to your TradingView chart.
2. Enable Magnet Mode in TradingView to help anchor points snap accurately to price levels.
3. Manually select your range using the four anchor points to define the area for calculation.
4. The indicator will generate a table displaying the calculated bar-to-price ratio.
5. Copy the recommended value from the table.
6. Open the chart settings in TradingView.
7. Locate the "Lock Price to Bar Ratio" input field.
8. Paste the copied ratio value into the input field and apply the changes.
9. Due to TradingView's limitations on the magnet option for anchor points, it is recommended to add a new instance of the indicator rather than dragging the anchor points to a new range. This prevents unwanted snapping behavior and ensures accurate recalculations.
Will be adding more formulas in the future.
Indicator in use:
G. Santostasi's Bimodal Regimes Power Law G. Santostasi's Bimodal Regimes Power Law Model
Invite-Only TradingView Indicator
The Bimodal Power Law Model is a powerful TradingView indicator that provides a detailed visualization of Bitcoin's price behavior relative to its long-term power law trend. By leveraging volatility-normalized deviations, this model uncovers critical upper and lower bounds that govern Bitcoin’s price dynamics.
Key Features:
Power Law Support Line:
The model highlights the power law support line, a natural lower bound that has consistently defined Bitcoin's price floor over time. This line provides a crucial reference point for identifying accumulation zones.
Volatility-Normalized Upper Bound:
The indicator introduces a volatility-normalized upper channel, dynamically defined by the deviations from the power law. This bound represents the natural ceiling for Bitcoin’s price action and adjusts in real time to reflect changes in market volatility.
Color-Shaded Volatility Bounds:
The upper and lower bounds are visualized as color-shaded regions that represent the range of current volatility relative to the power law trend. These shaded regions dynamically expand or contract based on the level of market volatility, providing an intuitive view of Bitcoin’s expected price behavior under normalized conditions.
Two Regime Analysis:
Using a Gaussian Hidden Markov Model (HMM), the indicator separates Bitcoin's price action into two distinct regimes:
Above the power law:
Bullish phases characterized by overextensions.
Below the power law:
Bearish or accumulation phases where price consolidates below the trend.
Dynamic Bounds with Standard Deviations:
The model plots 2 standard deviation bands for both regimes, offering precise insights into the natural limits of Bitcoin’s price fluctuations. Peaks exceeding these bounds are contextualized as anomalies caused by historically higher volatility, emphasizing the consistency of normalized deviations.
Enhanced Visualization and Analysis:
The indicator integrates running averages calculated using deviations from the power law trend and smoothed volatility data to ensure a visually intuitive representation of Bitcoin’s price behavior. These insights help traders and researchers identify when price action is approaching statistically significant levels.
Use Cases:
Support and Resistance Identification:
Use the power law support line and upper volatility bounds to identify critical levels for buying or taking profit.
Cycle Analysis:
Distinguish between sustainable trends and speculative bubbles based on deviations from the power law.
Risk Management:
The shaded volatility regions provide a dynamic measure of risk, helping traders gauge when Bitcoin is overbought or oversold relative to its historical norms.
Market Timing: Understand Bitcoin’s cyclical behavior to time entries and exits based on its position within the shaded bounds.
Note:
This indicator is designed for long-term Bitcoin investors, researchers, and advanced traders who seek to leverage statistical regularities in Bitcoin’s price behavior. Available by invitation only.
Global OECD CLI Diffusion Index YoY vs MoMThe Global OECD Composite Leading Indicators (CLI) Diffusion Index is used to gauge the health and directional momentum of the global economy and anticipate changes in economic conditions. It usually leads turning points in the economy by 6 - 9 months.
How to read: Above 50% signals economic expansion across the included countries. Below 50% signals economic contraction.
The diffusion index component specifically shows the proportion of countries with positive economic growth signals compared to those with negative or neutral signals.
The OECD CLI aggregates data from several leading economic indicators including order books, building permits, and consumer and business sentiment. It tracks the economic momentum and turning points in the business cycle across 38 OECD member countries and several other Non-OECD member countries.
CRT AMD indicatorThis indicator is based on the Power of three (Accumulation Manipulation Distribution) Cycle, by marking the candle that Sweep the low or high of the previous candle and then closed back inside the range of the previous candle, indicating a possibility of a Manipulation or Reversal.
Combining the indicator with HTF Array and LTF Setup Entry will significantly improve the accuracy.
VX DailyCycle PD Table (Levang)**Futures trading dependent**
QT Theory dependent (Daye) --> VX Theory DailyCycle with 3 ranges using detailing extreme premium range to mean range to extreme discount range *ONLY* 15min timeframe that start at 7:30am every trading day. This data table compares 3 triads (default qt triads as inputs) detailing what range each asset is currently in.
**continuous contracts are default as inputs but monthly contracts works best.**
Overview
This indicator creates a dynamic table showing the current market position of multiple assets across three major market segments: Equity Index futures, Currency futures, and Bond futures. Each asset's position is analyzed using VX Daily Cycle levels and displayed with intuitive color-coding and symbols.
Assets Tracked
Equity Triad: ES1!, NQ1!, YM1!
Currency Triad: DXY (Capital.com), 6E1!, 6B1!
Bond Triad: ZB1!, TN1!, ZF1!
Visual Interpretation
The table uses three main colors to indicate market positioning:
Green: Asset is trading at a discount
Yellow: Asset is trading in the mean range
Red: Asset is trading at a premium
Symbols (▲▲, ▲, △, ▽, ▼, ▼▼) provide additional detail about position within each range:
Double symbols (▲▲, ▼▼): Extreme levels
Solid symbols (▲, ▼): Strong moves
Hollow symbols (△, ▽): Moderate moves
Updates
The table updates every 15 minutes
Works on all timeframes while maintaining consistency
Position calculations are based on recent price action
Usage
This indicator is particularly useful for:
Cross-market analysis
Identifying relative value opportunities
Multi-timeframe market analysis
Understanding market correlations
Spotting potential reversals or continuations
Note
The indicator requires access to all listed symbols for full functionality. Some brokers may not provide access to all market
Legend:
VX Levels Color and Symbol Cheat Sheet
Upper Extension Range (Red)
▲▲ : (Extreme Premium)
▲ : (High Premium)
△ : (Moderate Premium)
Mean Range (Yellow)
△ : (Upper Mean)
▽ : (Lower Mean)
Lower Extension Range (Green)
▽ : (Moderate Discount)
▼ : (High Discount)
▼▼ : (Extreme Discount)
BTC x M2 Divergence (Weekly)### Why the "M2 Money Supply vs BTC Divergence with Normalized RSI" Indicator Should Work
IMPORTANT
- Weekly only indicator
- Combine it with BTC Halving Cycle Profit for better results
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator leverages the relationship between macroeconomic factors (M2 money supply) and Bitcoin price movements, combined with technical analysis tools like RSI, to provide actionable trading signals. Here's a detailed rationale on why this indicator should be effective:
1. **Macroeconomic Influence**:
- **M2 Money Supply**: Represents the total money supply, including cash, checking deposits, and easily convertible near money. Changes in M2 reflect liquidity in the economy, which can influence asset prices, including Bitcoin.
- **Bitcoin Sensitivity to Liquidity**: Bitcoin, being a digital asset, often reacts to changes in liquidity conditions. An increase in money supply can lead to higher asset prices as more money chases fewer assets, while a decrease can signal tightening conditions and lower prices.
2. **Divergence Analysis**:
- **Economic Divergence**: The indicator calculates the divergence between the percentage changes in M2 and Bitcoin prices. This divergence can highlight discrepancies between Bitcoin's price movements and broader economic conditions.
- **Market Inefficiencies**: Large divergences may indicate inefficiencies or imbalances that could lead to price corrections or trends. For example, if M2 is increasing (indicating more liquidity) but Bitcoin is not rising proportionately, it might suggest a potential upward correction in Bitcoin's price.
3. **Normalization and Smoothing**:
- **Normalized Divergence**: Normalizing the divergence to a consistent scale (-100 to 100) allows for easier comparison and interpretation over time, making the signals more robust.
- **Smoothing with EMA**: Applying Exponential Moving Averages (EMAs) to the normalized divergence helps to reduce noise and identify the underlying trend more clearly. This double-smoothed divergence provides a clearer signal by filtering out short-term volatility.
4. **RSI Integration**:
- **RSI as a Momentum Indicator**: RSI measures the speed and change of price movements, indicating overbought or oversold conditions. Normalizing the RSI and incorporating it into the divergence analysis helps to confirm the strength of the signals.
- **Combining Divergence with RSI**: By using RSI in conjunction with divergence, the indicator gains an additional layer of confirmation. For instance, a bullish divergence combined with an oversold RSI can be a strong buy signal.
5. **Dynamic Zones and Sensitivity**:
- **Good DCA Zones**: Highlighting zones where the divergence is significantly positive (good DCA zones) indicates periods where Bitcoin might be undervalued relative to economic conditions, suggesting good buying opportunities.
- **Red Zones**: Marking zones with extremely negative divergence, combined with RSI confirmation, identifies potential market tops or bearish conditions. This helps traders avoid buying into overbought markets or consider selling.
- **Peak Detection**: The sensitivity setting for detecting upside down peaks allows for early identification of potential market bottoms, providing timely entry points for traders.
6. **Visual Cues and Alerts**:
- **Clear Visualization**: The plots and background colors provide immediate visual feedback, making it easier for traders to spot significant conditions without deep analysis.
- **Alerts**: Built-in alerts for key conditions (good DCA zones, red zones, sell signals) ensure traders can act promptly based on the indicator's signals, enhancing the practicality of the tool.
### Conclusion
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator integrates macroeconomic data with technical analysis to offer a comprehensive view of Bitcoin's market conditions. By analyzing the divergence between M2 money supply and Bitcoin prices, normalizing and smoothing the data, and incorporating RSI for momentum confirmation, the indicator provides robust signals for identifying potential buying and selling opportunities. This holistic approach increases the likelihood of capturing significant market movements and making informed trading decisions.
MCG - Meme Coin Gains [Logue]Meme Coin Gains. Investor preference for meme coin trading may signal irrational exuberance in the crypto market. If a large spike in meme coin gains is observed, a top may be near. Therefore, the gains of the most popular meme coins (DOGE, SHIB, SATS, ORDI, BONK, PEPE, and FLOKI) were averaged together in this indicator to help indicate potential mania phases, which may signal nearing of a top. Two simple moving averages of the meme coin gains are used to smooth the data and help visualize changes in trend. In back testing, I found a 10-day "fast" sma and a 20-day "slow" sma of the meme coin gains works well to signal tops and bottoms when extreme values of this indicator are reached.
Meme coins were not traded heavily prior to 2020. Therefore, there is only one cycle to test at the time of initial publication. Also, the meme coin space moves fast, so more meme coins may need to be added later. Also, once a meme coin has finished its mania phase where everyone and their mother has heard of it, it doesn't seem to run again (at least with the data up until time of publication). Therefore, the value of this indicator may not be great unless it is updated frequently.
The two moving averages are plotted. For the indicator, top and bottom "slow" sma trigger lines are plotted. The sma trigger line and the periods (daily) of the moving averages can be modified to your own preferences. The "slow" sma going above or below the trigger lines will print a different background color. Plot on a linear scale if you want to view this as similar to an RSI-type indicator. Plot on a log scale if you want to view as similar to a stochastic RSI.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of Bitcoin or the crypto market.
MCV - Meme Coin Volume [Logue]Meme Coin Volume. Investor preference for meme coin trading may signal irrational exuberance in the crypto market. If a large spike in meme coin volume is observed, a top may be near. Therefore, the volume of the most popular meme coins was added together in this indicator to help indicate potential mania phases, which may signal nearing of a top. A simple moving average of the meme coin volume also helps visualize the trend while reducing the noise. In back testing, I found a 10-day sma of the meme coin volume works well.
Meme coins were not traded heavily prior to 2020. Therefore, there is only one cycle to test at the time of initial publication. Also, the meme coin space moves fast, so more meme coins may need to be added later.
The total volume is plotted along with a moving average of the volume. For the indicator, you are able to change the raw volume trigger line, the sma trigger line, and the period (daily) of the sma to your own preferences. The raw volume or sma going above their respective trigger lines will print a different background color.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of Bitcoin or the crypto market.
Sessions ALL + 5 Custom (Redcrabice)I created a simple script that show the most 5 important sessions. i know that there are many other "sessions" scripts out there but most of them doesnt do what i want and some even lag alot because of the amount of codes. so i decided to create a simple browser friendly script that show 5 most important sessions. asia , frankfurt, london , newyork open and newyork along with 5 custom session for your own liking.
this is 1/3 series and indicator that i use along with my other indicators.
this code is based on my 90min cycle indicator and not a "repaint" as some people might say.
have a lovely trading journey.
sign
REDCRABICE
RVL Unreal Edge (concept build)Designed with a purpose, this script was intended for use by bots automating trading of XLM using a 6hr timeframe.
However the script has turned out to be a fantastic indicator on its own, and much of the power behind it is derived from John Ehler's incredible CG oscillator.
John Ehler was an electrical engineer, a Raytheon employee who began trading in the 1970's. He is best known for his work creating super-smoothing algorithms and methods of analysing cycle length and behaviour in price action, and his work in the field of zero-lag indicators - indicators that don't follow the price action, but are in fact capable of leading it actionably, and responding with essentially zero lag.
By approaching the price action as a sine wave with demonstrably a fractal nature, Ehler's makes a number of important advancements. His CG indicator is derived from calculations typically used to derive the centre of gravity in a physical object. It effectively works as a band-pass filter and is possibly one of the very best leading indicators avaliable.
Financial Astrology Mercury Helio HarmonicsMercury Helio Harmonics indicator represent the tropical zodiac energy forces that develop through the course of Mercury in the heliocentric zodiac wheel. The waves indicates the strength of cardinal energy (initiator) and it's harmonics. In Financial Astrology, Mercury represents the commerce, negotiations, transactions and trading, is very important cycle for trading.
Note: The Mercury Helio Harmonics indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the data is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart timezone.
Financial Astrology Jupiter DeclinationJupiter moving from South declination minima toward the North maxima and during all the travel from North maxima to zero declination produced the strong bullish long term trend, this coincide with other planets declinations observations, in general, we noted that when a planet is in North declination (above zero boundary) this strengthen the planet force and produces more strong price effects.
This Jupiter declination pattern needs more research in others markets, will be great to get the participation from more financial astrologers that could research this declination cycle in other markets and share feedback with us.
Note: The Jupiter declination indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the declination is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
Financial Astrology Sun DeclinationExtreme Sun declinations occurs at the solstices of summer and fall which correspond to the entry of Sun into Cancer and Capricorn respectively. At this extreme points we can observe that many markets tend to produce corrections. Is very interesting to see that when Sun reach the lowest and highest declination extremes. this events correlates very close to price corrections, is not an infalible rule, don't repeat for all observations but in many occurrences during all the historical data that we have of BTCUSD since 2010 have happened.
Is very likely that this same pattern repeats in others markets so will be great to get the participation of other financial astrologers that could research this cycle and share feedback with us.
Note: The Sun declination indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the declination is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
Cyclical volatility index v1This indicator is used to measure the volatility of the cycle in question.
It is very useful for clearly reading impulsive phases or corrective phases
Calculate average volatility and current volatility
The labels improve the visualization.
It is fully customizable in shapes and colors
C and the ability to disable labels
For any bugs contact the creators
Quad centered moving averages v1This indicator includes four centered moving average!
The missing periods have been reconstructed with a very complex approximation and projection technique!
The hatched areas are approximations of the missing periods projected into the future.
It is possible to set the centering of the averages through the variable "Approximation Lenght" and the ratio between the main average and the underlying in "Period Partition".
Practical example of setting:
"Approximation Lenght" equal to 2 means that the centering will be of half a period.
"Period Partition" makes sure to cascade all averages by dividing them by the same number.
//Once decided the Main Cycle (default 256) we will get the 4 averages:
-red to 128
-orange 64
-yellow 32
-white 16
This is a great tool for cyclical analysis.
It is not possible, due to the pinescript v4 language limit, to set the average under 35 periods and over 1070 periods.
For any bugs contact the creators
BEAMThe BEAM indicator helps identifying promising times during a cycle for buying and selling Bitcoin or other crypto currencies. It can also be used with gold or silver after adjusting its parameters, but does not work very well with stocks.
Disclaimer: This is not financial advice. For educational purposes only.
