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.
การวิเคราะห์ปัจจัยพื้นฐาน
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
[INVX] P/E band (panel)What is it?
The P/E Bollinger Band indicator is a hybrid tool combining fundamental analysis (P/E ratio) with technical analysis (Bollinger Bands).
It uses Bollinger Bands around a company's P/E ratio to identify potentially overvalued or undervalued zones.
The P/E ratio itself measures a stock's price relative to its earnings per share.
The Bollinger Bands, based on standard deviations, create a dynamic upper and lower band around the average P/E ratio.
Why P/E Bollinger Band?
Provides a visual representation of a company's relative valuation compared to its historical P/E range.
Can help identify areas where the P/E ratio might be deviating significantly from its historical norm.
Who should use it
Investors who combine technical and fundamental analysis for a more comprehensive stock evaluation.
Value investors seeking to identify potentially undervalued companies.
How to use
A P/E value that breaches the upper Bollinger Band suggests potential overvaluation, indicating the stock might be due for a price correction.
Conversely, a P/E value that falls below the lower Bollinger Band might signal undervaluation, presenting a potential buying opportunity (considering the company's fundamentals remain sound).
[INVX] P/E band (overlay)What is it?
The P/E Bollinger Band indicator is a hybrid tool combining fundamental analysis (P/E ratio) with technical analysis (Bollinger Bands).
It uses Bollinger Bands around a company's P/E ratio to identify potentially overvalued or undervalued zones.
The P/E ratio itself measures a stock's price relative to its earnings per share.
The Bollinger Bands, based on standard deviations, create a dynamic upper and lower band around the average P/E ratio.
Why P/E Bollinger Band?
Provides a visual representation of a company's relative valuation compared to its historical P/E range.
Can help identify areas where the P/E ratio might be deviating significantly from its historical norm.
Who should use it
Investors who combine technical and fundamental analysis for a more comprehensive stock evaluation.
Value investors seeking to identify potentially undervalued companies.
How to use
A P/E value that breaches the upper Bollinger Band suggests potential overvaluation, indicating the stock might be due for a price correction.
Conversely, a P/E value that falls below the lower Bollinger Band might signal undervaluation, presenting a potential buying opportunity (considering the company's fundamentals remain sound).
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.
FaikValThe "FaikVal" indicator is a powerful tool designed to help traders analyze relative price movements between a base asset and up to three comparison assets. This indicator uses exponential moving averages (EMA) and normalization techniques to identify potential overbought and oversold situations.
Functions and Applications:
Comparison of Price Ratios: The indicator calculates the ratio of the closing price of the base asset to the closing prices of three user-defined comparison assets. This allows for direct comparative analysis and helps identify relative strengths and weaknesses.
EMA Calculations: Two EMAs are calculated for each price ratio (with configurable periods). The difference between these two EMAs serves as the basis for further calculations.
Normalization: The calculated values are normalized over a defined period, helping to smooth out extreme values and facilitate analysis. This normalization transforms the values onto a scale from -100 to 100.
Optional Smoothing: Optional smoothing of the normalized values can be enabled to further reduce short-term fluctuations and generate clearer signals.
Visual Signals: The indicator plots three lines (one for each comparison ratio), representing the normalized values. Additionally, horizontal lines are displayed at +60, -60, and 0 to mark overbought and oversold zones as well as neutral areas.
Customizability: Users can adjust the periods of the EMAs, the length of the normalization period, and the smoothing period. They can also specify which of the three indicators should be displayed.
Applications:
Relative Strength Analysis: Identify whether the base asset is performing stronger or weaker compared to other markets or instruments.
Trend Confirmation: Confirm existing trends by analyzing the movements of the base asset relative to the comparison assets.
Overbought and Oversold Signals: Use the displayed values and horizontal lines to identify potential market turning points and determine entry or exit points.
!!! It works best on the weekly and daily chart for swing trading. It is a set up tool, to determin weather you should go long or short and not a market timing tool. For timing you could use concepts like trend and supply and demand!!!
The "FaikVal" indicator offers versatile and detailed analysis, making it particularly useful for traders seeking deeper insights into relative price strength and weakness.
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.
---------------------------------------------
Table - Past and future Bitcoin halvings:
---------------------------------------------
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
Stock Rating [TrendX_]# OVERVIEW
This Stock Rating indicator provides a thorough evaluation of a company (NON-FINANCIAL ONLY) ranging from 0 to 5. The rating is the average of six core financial metrics: efficiency, profitability, liquidity, solvency, valuation, and technical ratings. Each metric encompasses several financial measurements to ensure a robust and holistic evaluation of the stock.
## EFFICIENCY METRICS
1. Asset-to-Liability Ratio : Measures a company's ability to cover its liabilities with its assets.
2. Equity-to-Liability Ratio : Indicates the proportion of equity used to finance the company relative to liabilities.
3. Net Margin : Shows the percentage of revenue that translates into profit.
4. Operating Expense : Reflects the costs required for normal business operations.
5. Operating Expense Ratio : Compares operating expenses to total revenue.
6. Operating Profit Ratio : Measures operating profit as a percentage of revenue.
7. PE to Industry Relative PE/PB : Compares the company's PE ratio to the industry average.
## PROFITABILITY METRICS
1. ROA : Indicates how efficiently a company uses its assets to generate profit.
2. ROE : Measures profitability relative to shareholders' equity.
3. EBITDA : Reflects a company's operational profitability.
4. Free Cash Flow Margin : Shows the percentage of revenue that remains as free cash flow.
5. Revenue Growth : Measures the percentage increase in revenue over a period.
6. Gross Margin : Reflects the percentage of revenue exceeding the cost of goods sold.
7. Net Margin : Percentage of revenue that is net profit.
8. Operating Margin : Measures the percentage of revenue that is operating profit.
## LIQUIDITY METRICS
1. Current Ratio : Indicates the ability to cover short-term obligations with short-term assets.
2. Interest Coverage Ratio : Measures the ability to pay interest on outstanding debt.
3. Debt-to-EBITDA : Compares total debt to EBITDA.
4. Debt-to-Equity Ratio : Indicates the relative proportion of debt and equity financing.
## SOLVENCY METRICS
1. Altman Z-score : Predicts bankruptcy risk
2. Beneish M-score : Detects earnings manipulation.
3. Fulmer H-factor : Predicts business failure risk.
## VALUATION METRICS
1. Industry Relative PE/PB Comparison : Compares the company's PE and PB ratios to industry averages.
2. Momentum of PE, PB, and EV/EBITDA Multiples : Tracks the trends of PE, PB, and EV/EBITDA ratios over time.
## TECHNICAL METRICS
1. Relative Strength Index (RSI) : Measures the speed and change of price movements.
2. Supertrend : Trend-following indicator that identifies market trends.
3. Moving Average Golden-Cross : Occurs when a short-term MA crosses above mid-term and long-term MA which are determined by half-PI increment in smoothing period.
4. On-Balance Volume Golden-Cross : Measures cumulative buying and selling pressure.
[InvestorUnknown] Performance MetricsOverview
The Performance Metrics indicator is a tool designed to help traders and investors understand and utilize key performance metrics in their strategies. This indicator is inspired by the Rolling Risk-Adjusted Performance Ratios created by @EliCobra, but it offers enhanced usability and additional features to provide a more user-friendly code for understanding the calculations.
Features
Rolling Lookback:
Dynamic Lookback Calculation: The indicator automatically calculates the number of bars from the start of the asset's price history, up to a maximum of 5000 bars due to TradingView platform restrictions.
Adjustable Lookback Period: Users can manually set a lookback period or choose to use the rolling lookback feature for dynamic calculations.
RollingLookback() =>
x = bar_index + 1
y = x > 4999 ? 5000 : x > 1 ? (x - 1) : x
y
Trend Analysis
The Trend Analysis section in this indicator helps traders identify the direction of the market trend based on the balance of positive and negative returns over time. This is achieved by calculating the sums of positive and negative returns and optionally smoothing these values to provide a clearer trend signal.
Configuration: Enable smoothing if you want to reduce noise in the trend analysis. Choose between EMA and SMA for smoothing. Set the length for smoothing according to your preference for sensitivity (shorter lengths are more sensitive to changes, longer lengths provide smoother signals).
Interpretation:
- A positive trend difference (filled with green) indicates a bullish trend, suggesting more positive returns.
- A negative trend difference (filled with red) indicates a bearish trend, suggesting more negative returns.
- Colored bars provide a quick visual cue on the trend direction, helping to make timely trading decisions.
// The Trend Analysis section calculates and optionally smooths the sums of positive and negative returns.
// This helps identify the trend direction based on the balance of positive and negative returns over time.
Ps = Smooth ? Smooth_type == "EMA" ? ta.ema(pos_sum, Smooth_len) : ta.sma(pos_sum, Smooth_len) : pos_sum
Ns = Smooth ? Smooth_type == "EMA" ? ta.ema(neg_sum, Smooth_len) : ta.sma(neg_sum, Smooth_len) : neg_sum
// Calculate the difference between smoothed positive and negative sums
dif = Ps + Ns
Performance Metrics Table
Visual Table Display: Option to display a table on the chart with calculated performance metrics. This table includes comprehensive metrics like Mean Return, Positive and Negative Mean Return, Standard Deviation, Sharpe Ratio, Sortino Ratio, and Omega Ratio.
Performance Metrics Calculated
Mean Return:
Description: The average return over the lookback period.
Purpose: Helps in understanding the overall performance of the asset by providing a simple average of returns.
Positive Mean Return:
Description: The average of all positive returns over the lookback period.
Purpose: Highlights the average gain during profitable periods, giving insight into the asset's potential upside.
Negative Mean Return:
Description: The average of all negative returns over the lookback period.
Purpose: Focuses on the average loss during unprofitable periods, helping to assess the downside risk.
Standard Deviation (STDEV):
Description: A measure of volatility that calculates the dispersion of returns from the mean.
Purpose: Indicates the risk associated with the asset. Higher standard deviation means higher volatility and risk.
Sharpe Ratio:
Description: A risk-adjusted return metric that divides the mean return by the standard deviation of returns. It can be annualized if selected.
Purpose: Provides a standardized way to compare the performance of different assets by considering both return and risk. A higher Sharpe Ratio indicates better risk-adjusted performance.
sharpe_ratio = mean_all / stddev_all * (Annualize ? math.sqrt(Lookback) : 1)
Sortino Ratio:
Description: Similar to the Sharpe Ratio but focuses only on downside volatility. It divides the mean return by the standard deviation of negative returns. It can be annualized if selected.
Purpose: Offers a better assessment of downside risk by ignoring upside volatility. A higher Sortino Ratio indicates a higher return per unit of downside risk.
sortino_ratio = mean_all / stddev_neg * (Annualize ? math.sqrt(Lookback) : 1)
Omega Ratio:
Description: The ratio of the probability-weighted average of positive returns to the probability-weighted average of negative returns.
Purpose: Measures the overall likelihood of positive returns compared to negative returns. An Omega Ratio greater than 1 indicates more frequent and/or larger positive returns compared to negative returns.
omega_ratio = (prob_pos * mean_pos) / (prob_neg * -mean_neg)
By calculating and displaying these metrics, the indicator provides a comprehensive view of the asset's performance, enabling traders and investors to make informed decisions based on both returns and risk-adjusted metrics.
Use Cases:
Performance Evaluation: Assesses an asset's performance by analyzing both returns and risk factors, giving a clear picture of profitability and volatility.
Risk Comparison: Compares the risk-adjusted returns of different assets or portfolios, aiding in identifying investments with superior risk-reward trade-offs.
Risk Management: Helps manage risk exposure by evaluating downside risks and overall volatility, enabling more informed and strategic investment decisions.
PE BandThe PE Band shows the highest and lowest P/E in the previous period with TTM EPS. If the current P/E is lower than the minimum P/E, it is considered cheap. In other words, higher than the maximum P/E is considered expensive.
PE Band consists of 2 lines.
- Firstly, the historical P/E value in "green" (if TTM EPS is positive) or "red" (if TTM EPS is negative) states will change according to the latest high or low price of TTM EPS, such as: :
After the second quarter of 2023 (end of June), how do prices from 1 July – 30 September reflect net profits? The program will get the highest and lowest prices during that time.
After the 3rd quarter of 2023 (end of September), how do prices from 1 Oct. - 31 Dec. reflect net profits? The program will get the highest and lowest prices during that time.
- Second, the blue line is the closing price divided by TTM EPS, which shows the current P/E.
Quaterly Earnings,Sectors/Industry,Moving AveragesDescription:
The EPS & Revenue indicator is designed to provide detailed financial insights into a company's performance by displaying key financial metrics such as Earnings Per Share (EPS), Total Revenue, Free Float, Operating Income, and Return on Equity (ROE). The indicator also calculates and visualizes the percentage changes in these metrics over different quarters, offering a comprehensive view of the company's financial health.
Features:
Table Display:
A customizable table that can be positioned in various locations on the chart (e.g., top left, top center, bottom right, etc.).
Color-coded cells to indicate positive and negative changes in financial metrics.
Dynamic text size and color for better readability.
Financial Metrics:
EPS (Earnings Per Share): Displays the EPS values for the current and previous quarters.
Total Revenue: Shows revenue values in crores (Cr) for multiple quarters.
Free Float: Represents the number of freely floating shares.
Operating Income (OP): Indicates the operating income for the company.
Return on Equity (ROE): Displays the ROE values for multiple quarters.
Calculations:
EPS Year-over-Year (YoY) Change: Calculates the YoY percentage change in EPS.
Quarter-over-Quarter (QoQ) Change: Computes the percentage change in EPS and sales for different quarters.
Sales in Crores: Displays sales values in crores (Cr) and calculates the QoQ changes.
Operating Profit Margin (OPM): Calculates the operating profit margin as a percentage of sales.
52-Week High/Low: Shows the highest and lowest prices over the past 52 weeks.
Average Daily Range (ADR): Computes the average daily range percentage.
Turnover: Displays the average turnover period and current turnover values.
Relative Volume (Rvol): Indicates the relative trading volume compared to the average.
Color Coding:
Uses different colors to highlight significant changes in metrics (e.g., dark green for strong positive changes, light green for moderate positive changes, red for negative changes).
Adjustable transparency based on the magnitude of the change.
Customization:
User inputs for table position, color settings, and calculation periods for turnover and relative volume.
Text labels for various columns and rows in the table to enhance clarity.
How to Use:
Add the EPS & Revenue indicator to your TradingView chart.
Customize the table position and color settings as per your preference.
Analyze the displayed financial metrics and percentage changes to gain insights into the company's performance.
Use the color-coded cells to quickly identify significant changes and trends in EPS, revenue, operating income, and other key metrics.
Example Output:
The table will display current and past EPS values, percentage changes in EPS and sales, operating profit margins, ROE values, turnover, relative volume, and the percentage up from 52-week low and down from 52-week high.
The data will be color-coded to indicate positive and negative changes, making it easier to interpret the company's financial performance at a glance.
This indicator is ideal for investors and traders who want to keep a close eye on a company's financial health and make informed decisions based on detailed financial data.
Wolf DCA CalculatorThe Wolf DCA Calculator is a powerful and flexible indicator tailored for traders employing the Dollar Cost Averaging (DCA) strategy. This tool is invaluable for planning and visualizing multiple entry points for both long and short positions. It also provides a comprehensive analysis of potential profit and loss based on user-defined parameters, including leverage.
Features
Entry Price: Define the initial entry price for your trade.
Total Lot Size: Specify the total number of lots you intend to trade.
Percentage Difference: Set the fixed percentage difference between each DCA point.
Long Position: Toggle to switch between long and short positions.
Stop Loss Price: Set the price level at which you plan to exit the trade to minimize losses.
Take Profit Price: Set the price level at which you plan to exit the trade to secure profits.
Leverage: Apply leverage to your trade, which multiplies the potential profit and loss.
Number of DCA Points: Specify the number of DCA points to strategically plan your entries.
How to Use
1. Add the Indicator to Your Chart:
Search for "Wolf DCA Calculator" in the TradingView public library and add it to your chart.
2. Configure Inputs:
Entry Price: Set your initial trade entry price.
Total Lot Size: Enter the total number of lots you plan to trade.
Percentage Difference: Adjust this to set the interval between each DCA point.
Long Position: Use this toggle to choose between a long or short position.
Stop Loss Price: Input the price level at which you plan to exit the trade to minimize losses.
Take Profit Price: Input the price level at which you plan to exit the trade to secure profits.
Leverage: Set the leverage you are using for the trade.
Number of DCA Points: Specify the number of DCA points to plan your entries.
3. Analyze the Chart:
The indicator plots the DCA points on the chart using a stepline style for clear visualization.
It calculates the average entry point and displays the potential profit and loss based on the specified leverage.
Labels are added for each DCA point, showing the entry price and the lots allocated.
Horizontal lines mark the Stop Loss and Take Profit levels, with corresponding labels showing potential loss and profit.
Benefits
Visual Planning: Easily visualize multiple entry points and understand how they affect your average entry price.
Risk Management: Clearly see your Stop Loss and Take Profit levels and their impact on your trade.
Customizable: Adapt the indicator to your specific strategy with a wide range of customizable parameters.
