Performance IndicatorsDescription:
The Performance Indicators tool provides traders with a comprehensive overview of both fundamental and technical performance metrics of a security. This dual approach helps traders make informed decisions by evaluating the security's intrinsic value as well as its market behavior.
Fundamental Performance Indicators:
EPS Year Over Year % Growth : Measures the percentage growth in earnings per share (EPS) compared to the same quarter in the previous year. This helps in understanding the company's profitability trends.
EPS 3 Quarters Year Over Year % Growth : Analyzes the percentage growth in EPS over the last three quarters compared to the same quarters in the previous year, providing insight into the company's recent earnings performance.
Sales Year Over Year % Growth : Tracks the percentage growth in sales compared to the same quarter in the previous year, offering a view of the company's revenue trends.
Sales 3 Quarters Year Over Year % Growth : Evaluates the percentage growth in sales over the last three quarters compared to the same quarters in the previous year, helping to assess the company's recent revenue performance.
Return On Equity (ROE) : Measures the company's profitability by comparing net income to shareholder equity. This indicates how effectively the company is using its equity base to generate profits.
Market Capitalization : Represents the total market value of the company's outstanding shares, providing a sense of the company's size and market presence.
Float Shares Outstanding : Refers to the number of shares available for trading by the public, excluding restricted shares. This metric helps in understanding the liquidity and volatility of the stock.
Technical Performance Indicators:
Average Daily Range (ADR) %: Calculates the average range between the high and low prices over a specific period, expressed as a percentage. This helps in understanding the stock's daily volatility.
Average True Range (ATR) $ : Measures market volatility by calculating the average range between the high and low prices, taking into account any gaps in the price. It is expressed in dollar terms.
% Off 52-Week High : Indicates how far the current price is from the highest price achieved over the last 52 weeks, helping to assess the stock's current performance relative to its yearly peak.
Relative Price Strength (RPS) : Compares the stock's price performance to a benchmark index, helping to identify how the stock is performing relative to the broader market.
How it Works:
The fundamental performance indicators provide insights into the company's financial health and growth trends by analyzing key metrics such as EPS, sales growth, ROE, market capitalization, and float shares outstanding.
The technical performance indicators offer a view of the stock's market behavior and volatility through metrics like ADR, ATR, % off 52-week high, and RPS.
By combining these fundamental and technical metrics, traders can gain a well-rounded perspective on the security's overall performance.
How to Use:
Add the Performance Indicators tool to your chart.
Evaluate the fundamental indicators to assess the company's financial health and growth trends.
Analyze the technical indicators to understand the stock's market behavior and volatility.
Use the combined insights from both fundamental and technical indicators to make informed trading decisions.
This tool is particularly useful for traders who want to integrate both fundamental analysis and technical analysis into their trading strategy, providing a holistic view of a security's performance.
Fundamental Analysis
HRC - Hash Rate Capitulation [Da_Prof]The HRC (Hash Rate Capitulation) indicator is a measure of hash rate trend strength. It is the fractional difference between a long and a short simple moving average (SMA) of the bitcoin hash rate. Historically, the 21-day and 105-day SMA work well for this indicator. The hash rate generally increases over time, but when the short SMA crosses below the longer-term SMA, it shows that miners are removing significant hash from the system. This state can be considered a miner "capitulation". Historically, this has marked depressed BTC prices and has led to higher prices within some months. Shout out to foosmoo, the hash rate oscillator indicator prompted this presentation.
Intermarket Correlation TableThe Correlation Coefficient is used to measure the correlation between two sets of data. In the trading world, the Correlation Coefficient is a measure of the correlation between two data sets of financial instruments. The correlation between two financial instruments is the degree in which they are related. Correlation is based on a scale of 1 to -1. The closer the Correlation Coefficient is to 1, the higher their positive correlation. The instruments will move up and down together. The closer the Correlation coefficient is to -1, the more they move in opposite directions. A value at 0 indicates that there is no correlation.
This indicator uses the built in ta.correlation function to calculate the correlation coefficient between DXY and NQ, ES, YM, US10Y, and ZN respectively. It then presents the data in a customizable table that is view as an overlay on your chart.
Adjust the length of the correlation factor to calculate higher time frame correlation.
Asset background changes based on current candle direction.
Coefficient background color changes based on whether the assets are properly correlated.
DXY is inversely correlated to NQ, ES, YM, and ZN.
DXY is directly correlated to US10Y.
The colors are reflected as such.
Double FVG-BPR [QuantVue]The Double FVG BPR Indicator is a versatile tool that helps traders identify potential support and resistance levels through the concept of balanced price ranges.
A Balanced Price Range (BPR) is a zone on a price chart where the market has found equilibrium after a period of price imbalance.
It is identified by detecting a Fair Value Gap (FVG) in one direction, followed by an overlapping Fair Value Gap in the opposite direction.
Components of a Balanced Price Range
Fair Value Gap (FVG): A FVG occurs when there is a rapid price movement, creating a gap in the price chart where minimal trading occurs. This gap represents an imbalance between supply and demand.
Bullish FVG: A bullish FVG is identified when the low of a candle is higher than the high of a candle two periods ago, and the close of the previous candle is higher than the high of that same period.
Bearish FVG: A bearish FVG is identified when the high of a candle is lower than the low of a candle two periods ago, and the close of the previous candle is lower than the low of that same period.
Overlapping Fair Value Gap: For a BPR to be formed, an initial FVG must be followed by an overlapping FVG in the opposite direction. This creates a balanced zone where the price has moved up (or down) quickly and then moved down (or up) with similar intensity, suggesting a temporary equilibrium.
The area between the high and low points of these overlapping FVGs forms the BPR. This zone represents a temporary market equilibrium where supply and demand have balanced out after a period of significant price movement in both directions.
How to Use
Support and Resistance Levels: The upper and lower boundaries of the BPR act as dynamic support and resistance levels. Traders can use these levels to place buy and sell orders, anticipating that the price may find support or face resistance within these zones.
Trend Reversal and Continuation: The BPR can signal potential trend reversals or continuations.
If the price moves back into the BPR after a breakout, it may indicate a reversal. Conversely, if the price breaks out of the BPR with strong momentum, it may signal a trend continuation.
ICT Premium/DiscountThis script indicator prints lines for the highest, lowest and middle price in a selected time period (in days).
With that you can easily see wheter the price is currently high, low or balanced compared to the prices in the selected time period.
I also added a gray dotted vertical line to the chart which represents the beginning of your selected time period
You can choose the time period on your own and you can also customize the color and style of the lines.
Your lines may get printed in a separate window. To fix this, click on the indicator and select
Move to -> existing pane above
Your lines also may stay stuck on the same place on the chart and are not fixed to a high/low. To fix this, right-click on the left price scale and select
Merge all scales into one -> on the right
COT IndexReference:
Trade Stocks and Commodities with the Insiders
Secrets of the COT Report by Larry Williams pg34
The equation is as below:
Current week's value- Lowest value of last three years
---------------------------------------------------------------------------- X 100%
Highest high of last three years-Lowest low of last three years
According to Larry Williams, traders should follow commercials direction. When the commercial index line (yellow line) is above 80, this indicates commercials are bullish. Hence, traders can look for potential buy setup. Conversely, when commercials index line (yellow line) is below 20, this indicates commercials are bearish, we can look for sell setup.
Do note that this is only applicable on Weekly chart as COT reports come out on weekly basis.
Modification from the original COT index from Larry Williams:
1) I've added 1year and 6months period, so traders maybe can look for pullback using shorter period. By default, Larry Williams uses 3 years Commercial index.
2) I've added non-commercials and retail traders index, they basically trade opposite way of commercials.
This indicator should not be used as a timing tool or entry tool, you can use it as your weekly or monthly bias tool. For more information, please read the books. Feel free to modify the code, if u have a better version of this, you may share to me if you want, I will be very grateful!
Earnings Beat IndicatorThis indicator seeks to predict whether a stock will beat or miss earnings by forecasting revenues, and subsequently net income, using linear regression. The y-values of this regression are revenues and the x-axis is an economic series of your choosing. Double-click the status line (the words "US" and "GDP") to change economic datasets. The full list of economic datasets available in TradingView is in the Help Center.
Instructions:
1. Double-click on the status line (the fields "US" and "GDP"). The inputs tab will pop up.
2. Type in the country and data codes for the economic datasets you believe have the highest correlation with revenues and net margins respectively.
3. Check the correlation coefficient between financial data and economic data by interpreting the white and gray numbers on the status line - white for the correlation coefficient between revenues and your chosen economic dataset, and gray for the correlation coefficient between net margins and your chosen economic dataset. These numbers should be as close to +1 or -1 as possible.
4. Interpret the results - the blue number indicates whether revenues will beat estimates and the green number indicates whether earnings will beat estimates. A 1 for both outputs indicates a double beat, a 1 and a 0 indicates a revenue beat but not an earnings beat, a 0 and a 1 indicates an earnings beat but not a revenue beat, and a 0 and a 0 indicates a double miss.
- DickZhones
COT-NocTradingIndicator Description:
Commitments of Traders (COT) Data Indicator
The Commitments of Traders (COT) Data Indicator on TradingView provides insights into market sentiment based on the weekly CFTC (Commodity Futures Trading Commission) reports. It plots three key lines derived from this data, offering valuable information for traders seeking to understand positioning trends among large speculators, commercial hedgers, and small traders.
Lines Plotted:
Commercials: Reflects positions held by commercial entities engaged in the production or sale of the underlying commodity. Their positions often act as a hedge against physical market exposure.
Non Commercials: Represents positions held by large speculators, typically hedge funds and large financial institutions, who often take more significant positions based on their market outlook.
Retail Traders: Shows positions held by small traders, including individual retail traders and smaller institutional players, providing insights into the broader retail sentiment.
Labeling:
Each line is accompanied by a label to clearly identify its corresponding group, enhancing clarity and ease of interpretation for traders analyzing the indicator.
Usage:
Trend Confirmation: Monitor the positioning of commercial and non commercial relative to retail traders to confirm trends and potential reversals.
Sentiment Analysis: Assess shifts in market sentiment based on changes in positioning across different trader categories.
Trading Signals: Use crossovers, divergences, and extreme positioning relative to historical data to generate potential trading signals.
This indicator is valuable for traders looking to incorporate institutional positioning data into their trading strategies, offering a deeper understanding of market dynamics beyond price action alone.
Bitcoin Fundamentals - Bitcoin Block RewardThe Bitcoin Block Reward is the batch of new Bitcoins generated by the miners after solving each block.
The Block Reward is set as a basic rule and cannot be changed without agreement between the entire Bitcoin network. It started at 50 BTC during the first period. Afterwards the Block Reward gets adjusted to half of it value (Halving Event) on each cycle of 210000 blocks mined.
This is the only way that new bitcoins are created. It creates an incentive for miners to secure the network.
Over time the Block Reward will decreases to a value that might not cover the mining costs. At that point, the use of the Bitcoin Network might have increased sufficiently as to generate enough transaction fees to cover the mining costs.
MOTIVATION
Even though this is a very simple indicator, I'm currently missing a data source to compute the Block Reward value within Tradingview. Therefore, I created this indicator and its associated library function to enable its visualization and (eventually) for coders to make use of the source function to power more elaborate scripts related to the Halving Events.
Hope that helps!
PFCF Price BandPFCF Price Band shows price calculated using the previous period's high and low P/TTM FCFPS (TTM's price to free cash flow per share over the last 12 months) multiplied by TTM's current FCFPS ( Similar to price theory = P/E x expected earnings per share)
If the current P/FCFPS is lower than the minimum P/FCFPS, it is considered cheap. In other words, above the maximum P/FCFPS is considered expensive.
PFCF Price Band consists of 2 parts.
- Firstly, the historical P/FCFPS value in "Green" (if TTM FCFPS is positive) or "Red" (if TTM FCFPS is negative) status changes based on the latest high or low price of TTM FCFPS.
- Second, the blue line is the closing price divided by TTM FCFPS, which shows the current P/FCF.
P.S. It is recommended to use it together with the PE Band indicator because just net profit does not mean that a company has good cash flow.
ΔYoY(Economics)Year over year indicator which will benchmark the most recent data vs 1 year lookback; Will automate the lookback for quarterly and monthly data based on timeframe selected (3M for quarterly, 1M for monthly). Tradingview will aggregate weekly data into a monthly data point. SMA applied to get the average over some x period.
Ln(close)Natural log indicator for normalizing data. SMA applied so you can take the average of that normalization factor. Personally use it for US economic data where the value is very large (GDI, Fed Balance Sheet, USM2 etc.) and the year over year delta is not pertinent (USM2) or not available (GDI.. although I did make an indicator to get YoY :D). Any additional ideas leave a comment and I'll take a look.
MarketcapDefinition
This indicator was designed to reveal the relationship between the price of the product and its market value. The red average marketcap line that appears on the chart is the line. And the further up this line moves from the chart, the more it shows that there is a mismatch between the price and the market value. So what does this incompatibility mean? There are purchases of the product, but since the supply of the product into circulation is constantly increasing, it means that these purchases are not reflected in the price, which means there is inflation.
The main purpose of our indicator is to calculate inflation of the product. It is the understanding of whether or not the amount of supply put into circulation in response to the investment is reflected in the product price while increasing the market value.
Attention: Transactions are made based on the data received via CRYPTOCAP. In cases where this data cannot be received, the "UNSUPPORTED SOURCE" warning is displayed. You can use Settings to change the source from which data can be retrieved.
Labels
The labels are explained one by one below.
MARKETCAP: Shows the current market value.
ATH MARKETCAP: Shows the highest market value of all time.
MARKETCAP RATIO: It gives the ratio between the highest level and the lowest level of the market value.
PRICE RATIO: Gives the ratio between the highest level and the lowest level of the crypto price.
ALL INFLATION PERCENT: It refers to the percentage of all inflation that has developed so far. It is also the percentage difference between market value and price.
MONTHLY INFLATION PERCENT: It refers to the monthly estimated inflation percentage.
CIRCULATING SUPPLY: It refers to the estimated circulation supply of the product.
Best Use
It should bring to mind the idea that the further the indicator curve moves away from the price, the higher the inflation will be. In order for a product to reach its previous peak, its market value must normally increase by the "MARKETCAP RATIO" value and the "PRICE RATIO" value. This should make you think that this product needs more investment to reach its former peak. And it is necessary to be careful when purchasing such products.
Disclaimer
This indicator is for informational purposes only and should be used for educational purposes only. You may lose money if you rely on this to trade without additional information. Use at your own risk.
Version
v1.0
Analyst Table (Zeiierman)█ Overview
The Analyst Table (Zeiierman) provides a comprehensive visual representation of analyst estimates and recommendations for any stock. This indicator displays crucial analyst data, including the highest, average, and lowest price targets, directly on the price chart. Additionally, it features a well-organized table summarizing various types of analyst recommendations, offering traders valuable insights into market sentiment and expectations. This tool is ideal for traders seeking a quick overview of analyst opinions and recommendations on specific stocks.
█ How It Works
The indicator works by retrieving analyst data such as price targets and recommendations from the TradingView data feed. It visually represents these estimates on the chart and creates a structured table for easy reference, consolidating all the information in an organized format.
Key Components:
High Estimate Line: A dotted line representing the highest price target.
Low Estimate Line: A dotted line representing the lowest price target.
Target Estimate Box: A box representing the range between the average and median price targets.
Analyst Table: A table displaying detailed information about various analyst recommendations and price targets.
█ How to Use
Traders can use this indicator to gain insights into the expectations of financial analysts regarding the future performance of an asset. By observing the highest, lowest, and average price targets, traders can assess the range of possible future prices as predicted by analysts. The recommendation table helps in understanding the general sentiment among analysts, whether it's bullish, bearish, or neutral.
Visual Analysis: Use the visual indicators to quickly gauge where the current price stands relative to analyst targets.
Sentiment Assessment: Refer to the table to understand the distribution of buy, hold, and sell recommendations.
█ Settings
The indicator settings allow users to enable or disable different target lines, select colors for the lines and table cells, and choose the position and size of the analyst table on the chart.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Earnings X-RayThe script presents earnings and revenues in a tabular format. Particularly, it calculates percentage changes.
Earnings data can be found in TradingView Financials. However, percentage changes are not provided. Can TradingView implement this in the future?
Displaying earnings table on the chart has its benefits. No additional clicks required to access the data. This significantly streamlines the stock scanning process.
It is important to quickly evaluate a company's earnings when scanning for stocks. The script provides this capability.
Similar scripts have been created previously. This script corrects calculations and improves presentation with the concise code.
Data access:
Earnings = request.earnings(syminfo.tickerid, earnings.actual)
FutureEarnings = earnings.future_eps
FutureRevenue = earnings.future_revenue
Can more than one quarter of future earnings estimates become available in Pine Script in the future?
The script was validated against MarketSurge.
Features:
Quarterly or Yearly data
Configurable number of fiscal periods
Configurable location on the chart
Optional Dark mode
Sharpe RatioThe Sharpe Ratio Indicator is a widely-used tool designed to measure the risk-adjusted performance of an asset. The Sharpe Ratio helps investors understand how much excess return they are receiving for the extra volatility endured for holding a riskier asset. By comparing the return of an investment to the risk-free rate and accounting for the volatility of the investment's returns, the Sharpe Ratio provides a clear metric for evaluating the return on investment per unit of risk.
Features:
Calculation Period Input: Allows users to specify the period over which the Sharpe Ratio is calculated, making it flexible and adaptable to various trading strategies and time frames.
Risk-Free Rate Input: Users can set a specific risk-free rate, enabling a customized risk-return analysis based on prevailing market conditions or individual investment preferences.
Daily Returns Calculation: The indicator calculates daily returns, which are used to determine the mean return and standard deviation.
Sharpe Ratio Calculation: The indicator calculates the Sharpe Ratio by dividing the excess return (mean return minus risk-free rate) by the standard deviation of returns and annualizing the result (assuming 252 trading days in a year).
Visual Plot: The Sharpe Ratio is plotted on the chart, with a reference zero line to help users quickly assess whether the asset's returns are favorable relative to the risk-free rate.
How to Use:
Add the Indicator to Your Chart: Copy the script into the Pine Script editor on TradingView and add it to your chart.
Specify the Calculation Period: Adjust the Calculation Period input to match your desired time frame for the Sharpe Ratio calculation.
Set the Risk-Free Rate: Input the current risk-free rate (e.g., the yield on 10-year government bonds) to customize the risk-return analysis.
Interpret the Sharpe Ratio: A higher Sharpe Ratio indicates better risk-adjusted performance, while a ratio below zero suggests that the asset has underperformed relative to the risk-free rate.
Omega RatioThe Omega Ratio Indicator is a powerful tool designed to measure the risk-adjusted performance of an asset. Unlike traditional measures like the Sharpe or Sortino Ratios, the Omega Ratio considers both the frequency and magnitude of returns above and below a specified target return, providing a more comprehensive view of an asset's performance. This makes it an ideal choice for traders and investors seeking to evaluate the probability of achieving a desired return relative to the risk taken.
Features:
Calculation Period Input: Allows users to specify the period over which the Omega Ratio is calculated, making it flexible and adaptable to various trading strategies and time frames.
Target Return Input: Users can set a specific target return, enabling a customized risk-return analysis based on individual investment goals.
Daily Returns Calculation: The indicator calculates daily returns, which are used to determine the cumulative returns above and below the target return.
Omega Ratio Calculation: By dividing the cumulative returns above the target return by the cumulative returns below it, the indicator provides a clear measure of the likelihood of achieving the target return.
Visual Plot: The Omega Ratio is plotted on the chart, with a reference line at 1, helping users quickly assess whether the asset's returns are favorable relative to the target.
How to Use:
Add the Indicator to Your Chart: Copy the script into the Pine Script editor on TradingView and add it to your chart.
Specify the Calculation Period: Adjust the Calculation Period input to match your desired time frame for the Omega Ratio calculation.
Set the Target Return: Input your desired target return to customize the risk-return analysis.
Interpret the Omega Ratio: An Omega Ratio greater than 1 indicates that the asset's returns are more likely to exceed the target return than to fall short, whereas a ratio less than 1 suggests the opposite.
Sortino RatioThe Sortino Ratio Indicator is a custom script developed to measure the risk-adjusted performance of an asset. Unlike the Sharpe Ratio, which penalizes both upside and downside volatility equally, the Sortino Ratio specifically differentiates between harmful volatility (downside risk) and overall volatility. This makes it a preferred choice for traders and investors who are particularly concerned with downside risk.
Features:
Calculation Period Input: Users can specify the period over which the Sortino Ratio is calculated, making it adaptable to different time frames and trading strategies.
Daily Returns Calculation: The indicator calculates daily returns using logarithmic returns, which provides a more accurate reflection of percentage changes in price.
Mean Return and Downside Deviation: The script calculates the mean of daily returns and the downside deviation, focusing only on negative returns that fall below the mean.
Annualized Sortino Ratio: The Sortino Ratio is annualized assuming 252 trading days in a year, providing a standardized measure that can be easily compared across different assets and time periods.
Visual Plot: The indicator plots the Sortino Ratio on the chart, with a reference zero line to help users quickly assess the performance relative to the risk-free rate.
How to Use:
Add the Indicator to Your Chart: Copy the script into the Pine Script editor on TradingView and add it to your chart.
Specify the Calculation Period: Adjust the Calculation Period input to match your desired time frame for the Sortino Ratio calculation.
Interpret the Sortino Ratio: A higher Sortino Ratio indicates better risk-adjusted performance, while a ratio below zero suggests that the asset has underperformed relative to its downside risk.
Intelle_city - World Cycle - Ath & Atl - Logarithmic - Strategy.Overview
Indicators: Strategy !
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Strategy - The Pi Cycle Top and Bottom Oscillator is an adaptation of the original Pi Cycle Top chart. It compares the 111-Day Moving Average circle and the 2 * 350-Day Moving Average circle of Bitcoin’s Price. These two moving averages were selected as 350 / 111 = 3.153; An approximation of the important mathematical number Pi.
When the 111-Day Moving Average circle reaches the 2 * 350-Day Moving Average circle, it indicates that the market is becoming overheated. That is because the mid time frame momentum reference of the 111-Day Moving Average has caught up with the long timeframe momentum reference of the 2 * 350-Day Moving Average.
Historically this has occurred within 3 days of the very top of each market cycle.
When the 111 Day Moving Average circle falls back beneath the 2 * 350 Day Moving Average circle, it indicates that the market momentum of that cycle is significantly cooling down. The oscillator drops down into the lower green band shown where the 111 Day Moving Average is moving at a 75% discount relative to the 2 * 350 Day Moving Average.
Historically, this has highlighted broad areas of bear market lows.
IMPORTANT: You need to set a LOGARITHMIC graph. (The function is located at the bottom right of the screen)
IMPORTANT: The INTELLECT_city indicator is made for a buy-sell strategy; there is also a signal indicator from INTELLECT_city
IMPORTANT: The Chart shows all cycles, both buying and selling.
IMPORTANT: Suitable timeframes are 1 daily (recommended) and 1 weekly
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Описание на русском:
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Обзор индикатора
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Strategy - Логарифмический - Сигнал - Осциллятор вершины и основания цикла Пи представляет собой адаптацию оригинального графика вершины цикла Пи. Он сравнивает круг 111-дневной скользящей средней и круг 2 * 350-дневной скользящей средней цены Биткойна. Эти две скользящие средние были выбраны как 350/111 = 3,153; Приближение важного математического числа Пи.
Когда круг 111-дневной скользящей средней достигает круга 2 * 350-дневной скользящей средней, это указывает на то, что рынок перегревается. Это происходит потому, что опорный моментум среднего временного интервала 111-дневной скользящей средней догнал опорный момент импульса длинного таймфрейма 2 * 350-дневной скользящей средней.
Исторически это происходило в течение трех дней после вершины каждого рыночного цикла.
Когда круг 111-дневной скользящей средней опускается ниже круга 2 * 350-дневной скользящей средней, это указывает на то, что рыночный импульс этого цикла значительно снижается. Осциллятор опускается в нижнюю зеленую полосу, показанную там, где 111-дневная скользящая средняя движется со скидкой 75% относительно 2 * 350-дневной скользящей средней.
Исторически это высветило широкие области минимумов медвежьего рынка.
ВАЖНО: Выставлять нужно ЛОГАРИФМИЧЕСКИЙ график. (Находиться функция с правой нижней части экрана)
ВАЖНО: Индикатор INTELLECT_city сделан для стратегии покупок продаж, есть также и сигнальный от INTELLECT_сity
ВАЖНО: На Графике видны все циклы, как на покупку так и на продажу.
ВАЖНО: Подходящие таймфреймы 1 дневной (рекомендовано) и 1 недельный
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Beschreibung - Deutsch
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Indikatorübersicht
INTELLECT_city – Weltzyklus – ATH & ATL – Zeitrahmen 1T und 1W – Logarithmisch – Strategy – Der Pi-Zyklus-Top- und Bottom-Oszillator ist eine Anpassung des ursprünglichen Pi-Zyklus-Top-Diagramms. Er vergleicht den 111-Tage-Gleitenden-Durchschnittskreis und den 2 * 350-Tage-Gleitenden-Durchschnittskreis des Bitcoin-Preises. Diese beiden gleitenden Durchschnitte wurden als 350 / 111 = 3,153 ausgewählt; eine Annäherung an die wichtige mathematische Zahl Pi.
Wenn der 111-Tage-Gleitenden-Durchschnittskreis den 2 * 350-Tage-Gleitenden-Durchschnittskreis erreicht, deutet dies darauf hin, dass der Markt überhitzt. Das liegt daran, dass der Momentum-Referenzwert des 111-Tage-Gleitenden-Durchschnitts im mittleren Zeitrahmen den Momentum-Referenzwert des 2 * 350-Tage-Gleitenden-Durchschnitts im langen Zeitrahmen eingeholt hat.
Historisch gesehen geschah dies innerhalb von 3 Tagen nach dem Höhepunkt jedes Marktzyklus.
Wenn der Kreis des 111-Tage-Durchschnitts wieder unter den Kreis des 2 x 350-Tage-Durchschnitts fällt, deutet dies darauf hin, dass die Marktdynamik dieses Zyklus deutlich nachlässt. Der Oszillator fällt in das untere grüne Band, in dem der 111-Tage-Durchschnitt mit einem Abschlag von 75 % gegenüber dem 2 x 350-Tage-Durchschnitt verläuft.
Historisch hat dies breite Bereiche mit Tiefstständen in der Baisse hervorgehoben.
WICHTIG: Sie müssen ein logarithmisches Diagramm festlegen. (Die Funktion befindet sich unten rechts auf dem Bildschirm)
WICHTIG: Der INTELLECT_city-Indikator ist für eine Kauf-Verkaufs-Strategie konzipiert; es gibt auch einen Signalindikator von INTELLECT_city
WICHTIG: Das Diagramm zeigt alle Zyklen, sowohl Kauf- als auch Verkaufszyklen.
WICHTIG: Geeignete Zeitrahmen sind 1 täglich (empfohlen) und 1 wöchentlich
intellect_city - World Cycle - Ath & Atl - Logarithmic - Signal.Indicator Overview
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Signal - The Pi Cycle Top and Bottom Oscillator is an adaptation of the original Pi Cycle Top chart. It compares the 111-Day Moving Average circle and the 2 * 350-Day Moving Average circle of Bitcoin’s Price. These two moving averages were selected as 350 / 111 = 3.153; An approximation of the important mathematical number Pi.
When the 111-Day Moving Average circle reaches the 2 * 350-Day Moving Average circle, it indicates that the market is becoming overheated. That is because the mid time frame momentum reference of the 111-Day Moving Average has caught up with the long timeframe momentum reference of the 2 * 350-Day Moving Average.
Historically this has occurred within 3 days of the very top of each market cycle.
When the 111 Day Moving Average circle falls back beneath the 2 * 350 Day Moving Average circle, it indicates that the market momentum of that cycle is significantly cooling down. The oscillator drops down into the lower green band shown where the 111 Day Moving Average is moving at a 75% discount relative to the 2 * 350 Day Moving Average.
Historically, this has highlighted broad areas of bear market lows.
IMPORTANT: You need to set a LOGARITHMIC graph. (The function is located at the bottom right of the screen)
IMPORTANT: The INTELLECT_city indicator is made for signal purchases of sales, there is also a strategic one from INTELLECT_city
IMPORTANT: The Chart shows all cycles, both buying and selling.
IMPORTANT: Suitable timeframes are 1 daily (recommended) and 1 weekly
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Описание на русском:
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Обзор индикатора
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Signal - Логарифмический - Сигнал - Осциллятор вершины и основания цикла Пи представляет собой адаптацию оригинального графика вершины цикла Пи. Он сравнивает круг 111-дневной скользящей средней и круг 2 * 350-дневной скользящей средней цены Биткойна. Эти две скользящие средние были выбраны как 350/111 = 3,153; Приближение важного математического числа Пи.
Когда круг 111-дневной скользящей средней достигает круга 2 * 350-дневной скользящей средней, это указывает на то, что рынок перегревается. Это происходит потому, что опорный моментум среднего временного интервала 111-дневной скользящей средней догнал опорный момент импульса длинного таймфрейма 2 * 350-дневной скользящей средней.
Исторически это происходило в течение трех дней после вершины каждого рыночного цикла.
Когда круг 111-дневной скользящей средней опускается ниже круга 2 * 350-дневной скользящей средней, это указывает на то, что рыночный импульс этого цикла значительно снижается. Осциллятор опускается в нижнюю зеленую полосу, показанную там, где 111-дневная скользящая средняя движется со скидкой 75% относительно 2 * 350-дневной скользящей средней.
Исторически это высветило широкие области минимумов медвежьего рынка.
ВАЖНО: Выставлять нужно ЛОГАРИФМИЧЕСКИЙ график. (Находиться функция с правой нижней части экрана)
ВАЖНО: Индикатор INTELLECT_city сделан для сигнальных покупок продаж, есть также и стратегический от INTELLECT_сity
ВАЖНО: На Графике видны все циклы, как на покупку так и на продажу.
ВАЖНО: Подходящие таймфреймы 1 дневной (рекомендовано) и 1 недельный
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Beschreibung - Deutsch
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Indikatorübersicht
INTELLECT_city – Weltzyklus – ATH & ATL – Zeitrahmen 1T und 1W – Logarithmisch – Signal – Der Pi-Zyklus-Top- und Bottom-Oszillator ist eine Anpassung des ursprünglichen Pi-Zyklus-Top-Diagramms. Er vergleicht den 111-Tage-Gleitenden-Durchschnittskreis und den 2 * 350-Tage-Gleitenden-Durchschnittskreis des Bitcoin-Preises. Diese beiden gleitenden Durchschnitte wurden als 350 / 111 = 3,153 ausgewählt; eine Annäherung an die wichtige mathematische Zahl Pi.
Wenn der 111-Tage-Gleitenden-Durchschnittskreis den 2 * 350-Tage-Gleitenden-Durchschnittskreis erreicht, deutet dies darauf hin, dass der Markt überhitzt. Das liegt daran, dass der Momentum-Referenzwert des 111-Tage-Gleitenden-Durchschnitts im mittleren Zeitrahmen den Momentum-Referenzwert des 2 * 350-Tage-Gleitenden-Durchschnitts im langen Zeitrahmen eingeholt hat.
Historisch gesehen geschah dies innerhalb von 3 Tagen nach dem Höhepunkt jedes Marktzyklus.
Wenn der Kreis des 111-Tage-Durchschnitts wieder unter den Kreis des 2 x 350-Tage-Durchschnitts fällt, deutet dies darauf hin, dass die Marktdynamik dieses Zyklus deutlich nachlässt. Der Oszillator fällt in das untere grüne Band, in dem der 111-Tage-Durchschnitt mit einem Abschlag von 75 % gegenüber dem 2 x 350-Tage-Durchschnitt verläuft.
Historisch hat dies breite Bereiche mit Tiefstständen in der Baisse hervorgehoben.
WICHTIG: Sie müssen ein logarithmisches Diagramm festlegen. (Die Funktion befindet sich unten rechts auf dem Bildschirm)
WICHTIG: Der INTELLECT_city-Indikator dient zur Signalisierung von Käufen oder Verkäufen, es gibt auch einen strategischen Indikator von INTELLECT_city
WICHTIG: Das Diagramm zeigt alle Zyklen, sowohl Kauf- als auch Verkaufszyklen.
WICHTIG: Geeignete Zeitrahmen sind 1 täglich (empfohlen) und 1 wöchentlich
Auto Gann KEYLVLS "Auto Gann KEYLVLS" indicator can be a valuable tool for traders, especially those who employ Gann theory in their analysis. Here are some ways to effectively use this indicator:
Identifying Key Price Levels: Gann lines are known for their ability to identify key support and resistance levels. Use the plotted Gann lines to identify significant price levels where the market may react.
Confirmation of Trend Reversals: When price approaches a Gann line, observe how the price reacts. A bounce off a Gann line can confirm the continuation of the trend, while a break of a Gann line may indicate a potential trend reversal.
Entry and Exit Points: Gann lines can serve as entry and exit points for trades. Look for confluence between Gann lines and other technical indicators or patterns to identify high-probability trade setups.
Trading with the Trend: In an uptrend, consider buying opportunities near Gann support levels, while in a downtrend, look for selling opportunities near Gann resistance levels.
Risk Management: Use Gann lines to set stop-loss and take-profit levels. Place stop-loss orders below Gann support levels for long trades and above Gann resistance levels for short trades to manage risk effectively.
Timeframe Analysis: Utilize the flexibility of this indicator to plot Gann lines on different timeframes. Compare Gann lines across multiple timeframes to identify alignment or divergence, which can provide additional confirmation for trading decisions.
Combination with Other Indicators: Combine the information provided by Gann lines with other technical indicators, such as moving averages, RSI, or MACD, to strengthen your trading decisions.
Input Parameters:
The script defines several input parameters that control the behavior of the Gann lines, such as the number of weeks to look back for highs and lows, the number of Gann lines to plot, line extension settings, and options to show or hide specific Gann lines like .25, .37, .50, .63, and .75.
Auto Gann Functionality:
The script calculates the highest high and lowest low for the specified number of weeks, hours, and minutes.
It then calculates quartile levels (0.25, 0.50, 0.75) based on the weekly high and low.
Gann lines are drawn based on these levels, with options to extend them left and/or right.
Labels are added to the Gann lines indicating their values.
Weekly Gann Lines:
The script plots Gann lines and labels based on the weekly high and low levels.
Labels are added to these lines indicating their values.
Sub Gann Lines:
Additional Gann lines are plotted based on the weekly high and low levels, with subdivisions for lower timeframes like H4, H1, M15, and M1.
Label Management:
Labels are managed based on user preferences, including options to show labels once on the left side, redraw labels on the right side, or not show labels at all.
Intellect_city - World Cycle - Ath - Timeframe 1D and 1WIndicator Overview
The Pi Cycle Top Indicator has historically been effective in picking out the timing of market cycle highs within 3 days.
It uses the 111 day moving average (111DMA) and a newly created multiple of the 350 day moving average, the 350DMA x 2.
Note: The multiple is of the price values of the 350DMA, not the number of days.
For the past three market cycles, when the 111DMA moves up and crosses the 350DMA x 2 we see that it coincides with the price of Bitcoin peaking.
It is also interesting to note that 350 / 111 is 3.153, which is very close to Pi = 3.142. In fact, it is the closest we can get to Pi when dividing 350 by another whole number.
It once again demonstrates the cyclical nature of Bitcoin price action over long time frames. However, in this instance, it does so with a high degree of accuracy over Bitcoin's adoption phase of growth.
Bitcoin Price Prediction Using This Tool
The Pi Cycle Top Indicator forecasts the cycle top of Bitcoin’s market cycles. It attempts to predict the point where Bitcoin price will peak before pulling back. It does this on major high time frames and has picked the absolute tops of Bitcoin’s major price moves throughout most of its history.
How It Can Be Used
Pi Cycle Top is useful to indicate when the market is very overheated. So overheated that the shorter-term moving average, which is the 111-day moving average, has reached an x2 multiple of the 350-day moving average. Historically, it has proved advantageous to sell Bitcoin around this time in Bitcoin's price cycles.
It is also worth noting that this indicator has worked during Bitcoin's adoption growth phase, the first 15 years or so of Bitcoin's life. With the launch of Bitcoin ETF's and Bitcoin's increased integration into the global financial system, this indicator may cease to be relevant at some point in this new market structure.
Intellect_city - Halvings Bitcoin CycleWhat is halving?
The halving timer shows when the next Bitcoin halving will occur, as well as the dates of past halvings. This event occurs every 210,000 blocks, which is approximately every 4 years. Halving reduces the emission reward by half. The original Bitcoin reward was 50 BTC per block found.
Why is halving necessary?
Halving allows you to maintain an algorithmically specified emission level. Anyone can verify that no more than 21 million bitcoins can be issued using this algorithm. Moreover, everyone can see how much was issued earlier, at what speed the emission is happening now, and how many bitcoins remain to be mined in the future. Even a sharp increase or decrease in mining capacity will not significantly affect this process. In this case, during the next difficulty recalculation, which occurs every 2014 blocks, the mining difficulty will be recalculated so that blocks are still found approximately once every ten minutes.
How does halving work in Bitcoin blocks?
The miner who collects the block adds a so-called coinbase transaction. This transaction has no entry, only exit with the receipt of emission coins to your address. If the miner's block wins, then the entire network will consider these coins to have been obtained through legitimate means. The maximum reward size is determined by the algorithm; the miner can specify the maximum reward size for the current period or less. If he puts the reward higher than possible, the network will reject such a block and the miner will not receive anything. After each halving, miners have to halve the reward they assign to themselves, otherwise their blocks will be rejected and will not make it to the main branch of the blockchain.
The impact of halving on the price of Bitcoin
It is believed that with constant demand, a halving of supply should double the value of the asset. In practice, the market knows when the halving will occur and prepares for this event in advance. Typically, the Bitcoin rate begins to rise about six months before the halving, and during the halving itself it does not change much. On average for past periods, the upper peak of the rate can be observed more than a year after the halving. It is almost impossible to predict future periods because, in addition to the reduction in emissions, many other factors influence the exchange rate. For example, major hacks or bankruptcies of crypto companies, the situation on the stock market, manipulation of “whales,” or changes in legislative regulation.
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Table - Past and future Bitcoin halvings:
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Date: Number of blocks: Award:
0 - 03-01-2009 - 0 block - 50 BTC
1 - 28-11-2012 - 210000 block - 25 BTC
2 - 09-07-2016 - 420000 block - 12.5 BTC
3 - 11-05-2020 - 630000 block - 6.25 BTC
4 - 20-04-2024 - 840000 block - 3.125 BTC
5 - 24-03-2028 - 1050000 block - 1.5625 BTC
6 - 26-02-2032 - 1260000 block - 0.78125 BTC
7 - 30-01-2036 - 1470000 block - 0.390625 BTC
8 - 03-01-2040 - 1680000 block - 0.1953125 BTC
9 - 07-12-2043 - 1890000 block - 0.09765625 BTC
10 - 10-11-2047 - 2100000 block - 0.04882813 BTC
11 - 14-10-2051 - 2310000 block - 0.02441406 BTC
12 - 17-09-2055 - 2520000 block - 0.01220703 BTC
13 - 21-08-2059 - 2730000 block - 0.00610352 BTC
14 - 25-07-2063 - 2940000 block - 0.00305176 BTC
15 - 28-06-2067 - 3150000 block - 0.00152588 BTC
16 - 01-06-2071 - 3360000 block - 0.00076294 BTC
17 - 05-05-2075 - 3570000 block - 0.00038147 BTC
18 - 08-04-2079 - 3780000 block - 0.00019073 BTC
19 - 12-03-2083 - 3990000 block - 0.00009537 BTC
20 - 13-02-2087 - 4200000 block - 0.00004768 BTC
21 - 17-01-2091 - 4410000 block - 0.00002384 BTC
22 - 21-12-2094 - 4620000 block - 0.00001192 BTC
23 - 24-11-2098 - 4830000 block - 0.00000596 BTC
24 - 29-10-2102 - 5040000 block - 0.00000298 BTC
25 - 02-10-2106 - 5250000 block - 0.00000149 BTC
26 - 05-09-2110 - 5460000 block - 0.00000075 BTC
27 - 09-08-2114 - 5670000 block - 0.00000037 BTC
28 - 13-07-2118 - 5880000 block - 0.00000019 BTC
29 - 16-06-2122 - 6090000 block - 0.00000009 BTC
30 - 20-05-2126 - 6300000 block - 0.00000005 BTC
31 - 23-04-2130 - 6510000 block - 0.00000002 BTC
32 - 27-03-2134 - 6720000 block - 0.00000001 BTC
