Sessions Lite [TradingFinder] New York, London, Asia, NYSE Forex🔵 Introduction
A trading session is one of the basic concepts in the financial market that refers to specific time periods. In fact, a session means hours during the day and night, during which traders in a certain part of the world conduct their transactions.
Although the "Forex" and "CFDs" market is open 24 hours a day and it is possible to trade in it, but in some hours the activity in this market decreases so much that many traders prefer not to trade and only watch the market. On the other hand, there are specific times when the market is very busy and dynamic, and many traders tend to trade during these hours of the day and night.
Trading sessions are usually divided into three main categories, which are "Asian", "European" and "North American" sessions. These trading sessions are also called the "Tokyo", "London" and "New York" sessions, respectively. But they also categorized these sessions in more detailed ways such as "Sydney session", "Shanghai session" or "NYSE session".
🔵 Tokyo trading session (Asian session)
After the weekend that happens on Saturday and Sunday, the Forex market starts with the Asian session. In this continent, most of the transactions are done in the Tokyo session, and for this reason, it is usually called the Asian session or the Tokyo session. However, other countries such as Australia, China and Singapore also do a lot of trading in this session.
The Tokyo session has a lower volume of transactions compared to the London and New York sessions, and therefore the liquidity is lower. In this session, most of the Forex currency pairs move in a price range. For this reason, different people use the ups and downs with the trading strategy in the range and get profit.
The low liquidity of the Tokyo session means that trading spreads are also higher during these hours. Besides, most of the transactions of this session are done in the early hours and at the same time as the planned news release.
In the Tokyo or Asia session, the best currency pairs to trade are the "Japanese yen", the "Australian dollar", and the "New Zealand dollar".
"Nikkei" index is also a good option for trading. If you trade in the Tokyo session, you should also be aware of the release of economic news and data from Australian, New Zealand and Japanese financial institutions.
🔵 London trading session (European session)
After the Asian session, it is time for the European session. In this period of time, transactions are very large and many European markets are involved. However, the European session is usually known as the London session.
Because of its specific time zone, London is not only known as the Forex trading center in Europe, but it is also known as the Forex trading center in the world. The London session overlaps with two other major trading sessions in the world, Asia and America. This means that most of the Forex transactions are done in this session. According to the latest statistics, 32% of Forex transactions are related to the London session, which shows that about a third of the activity performed in Forex takes place during this period.
This will increase the volume of Forex transactions and increase liquidity. An event that causes the spread of transactions to decrease. Of course, high liquidity also leads to greater volatility, which is desirable for many traders.
In the European session, the pound and euro currencies and the "DAX", "FTSE100", and "CAC40" indices are known as the best tradable assets. Also, traders of this session should pay attention to the news and data published by the "European Central Bank" and the "Bank of England". The news of countries like Germany, France and Italy are also very important.
🔵 American trading session (New York session)
When the New York session begins, several hours have passed since the end of the Tokyo session, but the European session is in the middle. In this session, they usually affect the financial activities carried out in America, but they also affect other countries such as Canada, Mexico and several South American countries.
The "US dollar" and stock indices such as "S&P", "Dow Jones" and "Nasdaq" are the most important assets that are traded in this session.
The early hours of the American session have a lot of liquidity and volatility due to the overlap with the European session, but with the end of the European session, the activity in the American session also decreases.
You can trade all major Forex currency pairs in the New York trading session. In this session, the "Federal Reserve", as the most important central bank in the world, is the institution that you should pay attention to its news and data.
The trading session indicator is an analytical tool in the financial markets that is used to display and analyze specific trading periods during a day. These indicators are generally useful for determining support and resistance levels during any trading session and for detecting different trading patterns.
For example, usually these indicators display the open and close price levels, the highest and lowest prices during a trading session. Also, you may notice various price patterns such as price channels, price phase phases and market trend changes during different trading sessions using these indicators.
🔵 cause of construction
In particular, the session light indicator version is designed and built for those traders who use many different tools on their chart at the same time. These traders can include "Volume Traders", "ICT traders", "Day Traders" and... These individuals can use "Session Lite" without disturbing the display of their other trading tools such as "Order Blocks", "Liquidity", "Zigzag", "FVG" etc.
But in general, there are several reasons for making tools like trading session indicators in financial markets, some of which include the following :
1. Analysis of specific time frames : Some traders and investors like to consider specific time frames for price analysis and review. For example, analyzing price changes during each trading session can help analyze trading patterns and identify trading opportunities.
2. Recognize different price patterns : Different price patterns may be observed during trading sessions. Trading session indicators can help to make better trading decisions by analyzing these patterns and their strengths and weaknesses.
3. Identifying Support and Resistance Levels : These tools may help to identify support and resistance levels during any trading session which can be helpful in deciding whether to enter or exit the market.
🔵 How to use
The Session Lite indicator displays 8 sessions by default. Asia session, Sydney session, Tokyo session, Shanghai session, Europe session, London session, New York session and New York Stock Exchange (NYSE) session are the sessions that are displayed.
You can activate or deactivate the display of each session by using the tick button next to the name of each session.
Two gray vertical dashes are also displayed by default, which indicate the beginning of the European session and the New York session. This feature is available for all sessions, but it is enabled by default only for these two sessions, and you can activate it for the rest of the session. You can enable or disable the display of this line by using the Start Session tick key.
Likewise, the information table is displayed by default, which includes the open or closed information of each session and the start and end times of each session. These timings are based on the UTC time zone.
Accordingly, the schedule of trading sessions is as follows :
Asia session from 23:00 to 06:00
Sydney session from 23:00 to 05:00
Tokyo session from 00:00 to 00:06
Shanghai session from 01:30 to 06:57
European session from 07:00 to 16:30
London session from 08:00 to 16:30
New York session from 13:00 to 22:00
New York Stock Exchange (NYSE) session from 14:30 to T 22:00
Important note : the beginning of the European session coincides with the opening of the Frankfurt market.
🔵 Settings
• In the settings section, there are customization capabilities according to the type of use of each user. The settings related to showing or not showing the box of each session, the start indicator of each session, setting the start and end time of the session and choosing the desired color to display each session are among the things that can be set from this section.
• At the end of the settings, you will see the "Info Table" option; By disabling this option, the "sessions" clock table displayed on the upper right side will be disabled.
Sentiment
Emibap's HEX Uniswap v3 Liquidity PoolThis script will display a histogram of the Uniswap V3 HEX liquidity pool, versus as many tokens as possible.
Current supported pairs:
HEX/USDC
HEX/WETH
HEX/WETH.USD (Ethereum expressed in USD)
HEX/USDT (Just showing the USDC liquidity)
Similar to what you can see in the liquidity section of the Uniswap pool page but conveniently rendered alongside your chart.
It's meant to be used on a HEX / WETH chart only. The price should be expressed in WETH for it to work.
One of the main motivations for using this in your chart is to get an idea of the current sentiment: If most of the volume is above the price it might be an indication of an upcoming move up, for instance.
I'll try to update the liquidity regularly.
Using the 4h, daily, or weekly time frames is highly recommended.
The options are straightforward:
Histogram bars color. Default is blue
Histogram background color. Default is black at 20% opacity
Upper price limit of the diagram: Visible upper bound price limit for the histogram, based on the current price. I.E: 200%: If the price is 1, the histogram will show 3 as the upper bound
Lower price limit of the diagram. Visible lower bound price limit for the histogram, based on the current price. I.E: 99%: If the price is 1, the histogram will show 0. 01 as the upper bound
Width of the widest bar: Width (in bars) for the widest bar of the histogram. The more the higher resolution you'll get
Locked volume marker line thickness
Locked volume marker color
Relative Strength wrt ReferenceThis script evaluates the relative strength of the current symbol with respect to your chosen symbol. At the same time it gives an idea about the trend of the reference symbol.
Under default settings, it evaluates the strength with respect to NIFTY50.
While the value of the bars represents the relative strength, Colors of the bars indicate the relative strength status.
The condition action rules are as follows:
-Bar color blue implies that both the underlying and reference increased.
-Bar color green implies that the underlying increased but reference decreased.
-Bar color purple implies that both the underlying and reference decreased.
-Bar color red implies that the underlying decreased but reference increased.
On the other hand, the background colors indicate the general trend structure in the reference in terms of exponential moving averages and adx.
Green implies strong up trend.
Purple implies sideways to bullish trend.
Blue implies sideways to bearish trend
Red implies existing strong downtrend.
You can change the settings as per your choice.
COT Delta CodeThis indicator is based on the code provided by ILuvMarkets.
This script nets the Institutional Long and Short contracts of a symbol and plot the result as a line (COT Delta).
Also the script can net the COT Delta's of 2 COT-symbols.
In the example chart COT Delta's of GBP and NZD are netted and plotted on the main chart.
Crypto MVRV ZScore - Strategy [PresentTrading]█ Introduction and How it is Different
The "Crypto Valuation Extremes: MVRV ZScore - Strategy " represents a cutting-edge approach to cryptocurrency trading, leveraging the Market Value to Realized Value (MVRV) Z-Score. This metric is pivotal for identifying overvalued or undervalued conditions in the crypto market, particularly Bitcoin. It assesses the current market valuation against the realized capitalization, providing insights that are not apparent through conventional analysis.
BTCUSD 6h Long/Short Performance
Local
█ Strategy, How It Works: Detailed Explanation
The strategy leverages the Market Value to Realized Value (MVRV) Z-Score, specifically designed for cryptocurrencies, with a focus on Bitcoin. This metric is crucial for determining whether Bitcoin is currently undervalued or overvalued compared to its historical 'realized' price. Below is an in-depth explanation of the strategy's components and calculations.
🔶Conceptual Foundation
- Market Capitalization (MC): This represents the total dollar market value of Bitcoin's circulating supply. It is calculated as the current price of Bitcoin multiplied by the number of coins in circulation.
- Realized Capitalization (RC): Unlike MC, which values all coins at the current market price, RC is computed by valuing each coin at the price it was last moved or traded. Essentially, it is a summation of the value of all bitcoins, priced at the time they were last transacted.
- MVRV Ratio: This ratio is derived by dividing the Market Capitalization by the Realized Capitalization (The ratio of MC to RC (MVRV Ratio = MC / RC)). A ratio greater than 1 indicates that the current price is higher than the average price at which all bitcoins were purchased, suggesting potential overvaluation. Conversely, a ratio below 1 suggests undervaluation.
🔶 MVRV Z-Score Calculation
The Z-Score is a statistical measure that indicates the number of standard deviations an element is from the mean. For this strategy, the MVRV Z-Score is calculated as follows:
MVRV Z-Score = (MC - RC) / Standard Deviation of (MC - RC)
This formula quantifies Bitcoin's deviation from its 'normal' valuation range, offering insights into market sentiment and potential price reversals.
🔶 Spread Z-Score for Trading Signals
The strategy refines this approach by calculating a 'spread Z-Score', which adjusts the MVRV Z-Score over a specific period (default: 252 days). This is done to smooth out short-term market volatility and focus on longer-term valuation trends. The spread Z-Score is calculated as follows:
Spread Z-Score = (Market Z-Score - MVVR Ratio - SMA of Spread) / Standard Deviation of Spread
Where:
- SMA of Spread is the simple moving average of the spread over the specified period.
- Spread refers to the difference between the Market Z-Score and the MVRV Ratio.
🔶 Trading Signals
- Long Entry Condition: A long (buy) signal is generated when the spread Z-Score crosses above the long entry threshold, indicating that Bitcoin is potentially undervalued.
- Short Entry Condition: A short (sell) signal is triggered when the spread Z-Score falls below the short entry threshold, suggesting overvaluation.
These conditions are based on the premise that extreme deviations from the mean (as indicated by the Z-Score) are likely to revert to the mean over time, presenting opportunities for strategic entry and exit points.
█ Practical Application
Traders use these signals to make informed decisions about opening or closing positions in the Bitcoin market. By quantifying market valuation extremes, the strategy aims to capitalize on the cyclical nature of price movements, identifying high-probability entry and exit points based on historical valuation norms.
█ Trade Direction
A unique feature of this strategy is its configurable trade direction. Users can specify their preference for engaging in long positions, short positions, or both. This flexibility allows traders to tailor the strategy according to their risk tolerance, market outlook, or trading style, making it adaptable to various market conditions and trader objectives.
█ Usage
To implement this strategy, traders should first adjust the input parameters to align with their trading preferences and risk management practices. These parameters include the trade direction, Z-Score calculation period, and the thresholds for long and short entries. Once configured, the strategy automatically generates trading signals based on the calculated spread Z-Score, providing clear indications for potential entry and exit points.
It is advisable for traders to backtest the strategy under different market conditions to validate its effectiveness and adjust the settings as necessary. Continuous monitoring and adjustment are crucial, as market dynamics evolve over time.
█ Default Settings
- Trade Direction: Both (Allows for both long and short positions)
- Z-Score Calculation Period: 252 days (Approximately one trading year, capturing a comprehensive market cycle)
- Long Entry Threshold: 0.382 (Indicative of moderate undervaluation)
- Short Entry Threshold: -0.382 (Signifies moderate overvaluation)
These default settings are designed to balance sensitivity to market valuation extremes with a pragmatic approach to trade execution. They aim to filter out noise and focus on significant market movements, providing a solid foundation for both new and experienced traders looking to exploit the unique insights offered by the MVRV Z-Score in the cryptocurrency market.
Day/Week/Month Metrics (Zeiierman)█ Overview
The Day/Week/Month Metrics (Zeiierman) indicator is a powerful tool for traders looking to incorporate historical performance into their trading strategy. It computes statistical metrics related to the performance of a trading instrument on different time scales: daily, weekly, and monthly. Breaking down the performance into daily, weekly, and monthly metrics provides a granular view of the instrument's behavior.
The indicator requires the chart to be set on a daily timeframe.
█ Key Statistics
⚪ Day in month
The performance of financial markets can show variability across different days within a month. This phenomenon, often referred to as the "monthly effect" or "turn-of-the-month effect," suggests that certain days of the month, especially the first and last days, tend to exhibit higher than average returns in many stock markets around the world. This effect is attributed to various factors including payroll contributions, investment of monthly dividends, and psychological factors among traders and investors.
⚪ Edge
The Edge calculation identifies days within a month that consistently outperform the average monthly trading performance. It provides a statistical advantage by quantifying how often trading on these specific days yields better returns than the overall monthly average. This insight helps traders understand not just when returns might be higher, but also how reliable these patterns are over time. By focusing on days with a higher "Edge," traders can potentially increase their chances of success by aligning their strategies with historically more profitable days.
⚪ Month
Historically, the stock market has exhibited seasonal trends, with certain months showing distinct patterns of performance. One of the most well-documented patterns is the "Sell in May and go away" phenomenon, suggesting that the period from November to April has historically brought significantly stronger gains in many major stock indices compared to the period from May to October. This pattern highlights the potential impact of seasonal investor sentiment and activities on market performance.
⚪ Day in week
Various studies have identified the "day-of-the-week effect," where certain days of the week, particularly Monday and Friday, show different average returns compared to other weekdays. Historically, Mondays have been associated with lower or negative average returns in many markets, a phenomenon often linked to the settlement of trades from the previous week and negative news accumulation over the weekend. Fridays, on the other hand, might exhibit positive bias as investors adjust positions ahead of the weekend.
⚪ Week in month
The performance of markets can also vary within different weeks of the month, with some studies suggesting a "week of the month effect." Typically, the first and the last week of the month may show stronger performance compared to the middle weeks. This pattern can be influenced by factors such as the timing of economic reports, monthly investment flows, and options and futures expiration dates which tend to cluster around these periods, affecting investor behavior and market liquidity.
█ How It Works
⚪ Day in Month
For each day of the month (1-31), the script calculates the average percentage change between the opening and closing prices of a trading instrument. This metric helps identify which days have historically been more volatile or profitable.
It uses arrays to store the sum of percentage changes for each day and the total occurrences of each day to calculate the average percentage change.
⚪ Month
The script calculates the overall gain for each month (January-December) by comparing the closing price at the start of a month to the closing price at the end, expressed as a percentage. This metric offers insights into which months might offer better trading opportunities based on historical performance.
Monthly gains are tracked using arrays that store the sum of these gains for each month and the count of occurrences to calculate the average monthly gain.
⚪ Day in Week
Similar to the day in the month analysis, the script evaluates the average percentage change between the opening and closing prices for each day of the week (Monday-Sunday). This information can be used to assess which days of the week are typically more favorable for trading.
The script uses arrays to accumulate percentage changes and occurrences for each weekday, allowing for the calculation of average changes per day of the week.
⚪ Week in Month
The script assesses the performance of each week within a month, identifying the gain from the start to the end of each week, expressed as a percentage. This can help traders understand which weeks within a month may have historically presented better trading conditions.
It employs arrays to track the weekly gains and the number of weeks, using a counter to identify which week of the month it is (1-4), allowing for the calculation of average weekly gains.
█ How to Use
Traders can use this indicator to identify patterns or trends in the instrument's performance. For example, if a particular day of the week consistently shows a higher percentage of bullish closes, a trader might consider this in their strategy. Similarly, if certain months show stronger performance historically, this information could influence trading decisions.
Identifying High-Performance Days and Periods
Day in Month & Day in Week Analysis: By examining the average percentage change for each day of the month and week, traders can identify specific days that historically have shown higher volatility or profitability. This allows for targeted trading strategies, focusing on these high-performance days to maximize potential gains.
Month Analysis: Understanding which months have historically provided better returns enables traders to adjust their trading intensity or capital allocation in anticipation of seasonally stronger or weaker periods.
Week in Month Analysis: Identifying which weeks within a month have historically been more profitable can help traders plan their trades around these periods, potentially increasing their chances of success.
█ Settings
Enable or disable the types of statistics you want to display in the table.
Table Size: Users can select the size of the table displayed on the chart, ranging from "Tiny" to "Auto," which adjusts based on screen size.
Table Position: Users can choose the location of the 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!
Blockunity Address Synthesis (BAS)Track the address status of the various cryptoassets and their evolution.
The Idea
The goal is to provide a simple tool for visualizing the evolution of different types of crypto addresses.
How to Use
This tool is to be used as fundamental information. It is not intended for investment or trading purposes.
Elements
Active Addresses
Active Addresses represent the subset of total addresses that made one or more on-chain transaction on a given day.
New Addresses
New Addresses refer to addresses that receive their first deposit in the selected crypto-asset.
Zero Balance Addresses
Zero Balance Addresses are addresses that transferred out (potentially sold) all of their holdings for the selected crypto-asset.
Total Addresses
Total Addresses refer to the overall count of unique addresses that have been created on a blockchain network.
Settings
In the settings, you can :
Adjust line smoothing (in terms of number of days).
Change the lookback period used to calculate the different variations.
Display or not the different address types (for better visualization, Total Addresses should be shown alone).
Show or hide labels and configure their offset.
Lastly, you can modify all table parameters.
Open Interest Inflows & Outflows [LuxAlgo]The Open Interest Inflows & Outflows indicator focuses on highlighting alterations in the overall count of active contracts associated with a specific financial instrument.
The indicator also includes an oscillator highlighting the price sentiment to use in conjunction with the open interest flow sentiment and also includes a rolling correlation of the open interest flow sentiment with a user-selected source.
🔶 USAGE
Open Interest (OI) indicates the total number of active contracts, encompassing both long and short positions, for a specific financial instrument at any given moment. This key indicator helps traders and analysts assess market activity and sentiment.
An increase in open interest generally indicates new money flowing into the market, suggesting increased activity and the potential for a trending market. Conversely, a decrease in open interest indicates that traders are closing their positions, suggesting less interest in that particular contract.
Open Interest Flow Sentiment assesses the correlation between the initiation of new positions (inflows) and the closure of existing positions (outflows) for a particular instrument. Positive values suggest a prevalence of inflows, while negative values signify a prevalence of outflows.
The magnitude of the deviation from zero reflects the extent of dominance, either in inflows or outflows.
Price Sentiment estimates the relationship between the strength of bulls (buyers) and bears (sellers) on an instrument. Positive values indicate higher bull power and negative values indicate higher bear power.
The correlation feature is a key component of the indicator and helps analyze the relationship between trading volume and Open Interest changes. If volume increases along with rising Open Interest, it supports the validity of the price trend.
A divergence between price movement, volume, and Open Interest may signal potential reversals.
🔶 DETAILS
This indicator, based on Dr. Alexander Elder's acclaimed Elder-Ray concept, aids traders in evaluating the strength of both bulls and bears by delving beneath the surface of the markets. It uncovers data not immediately apparent from a superficial glance at prices. The indicator comprises two components: Bull Power and Bear Power.
Considering that the high price of any candle signifies the maximum power of buyers and the low price represents the maximum power of sellers, Elder employs the 13-period Exponential Moving Average (EMA) to depict the average consensus of price value. Bull Power assesses whether buyers can drive prices above the average consensus of value, while Bear Power assesses whether sellers can push prices below this average.
Here are the formulas for Bull Power and Bear Power:
bull_power = high - ema(close, 13)
bear_power = low - ema(close, 13)
This concept is utilized to calculate Open Interest Flow Sentiment and Price Sentiment. The Open Interest Flow Sentiment estimates the relationship between new positions (inflows) and positions being closed (outflows), providing insights into market dynamics. The Price Sentiment, on the other hand, gauges the correlation between price movements and the Elder-Ray components, aiding traders in identifying potential shifts in market sentiment and momentum.
🔶 SETTINGS
🔹Open Interest Inflows & Outflows
OI Sentiment Correlation: toggles the visibility of Open Interest correlation with a variety of sources.
Money Flow Estimates: toggles the visibility of Money Flow Estimates calculated for the last bar.
🔹Style
OI Flow Sentiment: toggles the visibility of Open Interest Flow Sentiment, along with color customization options.
Price Sentiment: toggles the visibility of Price Sentiment, along with color customization options.
Correlation Colors: color customization option for the Correlation Area.
🔹Others
Smoothing: smoothing length applicable for Open Interest Flow Sentiment and Price Sentiment.
🔶 RELATED SCRIPTS
Open-Interest-Chart
Liquidation-Estimates
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Interest Rate IndicatorThis script offers a overview of Year-over-Year (YoY) interest rates for key countries. The interest rate data utilized by default are sourced from TradingView Tickers, but they can be modified to any preferred source via the settings.
The script does not perform any calculations; its primary function is to present a comparative view of interest rates across different countries in a single indicator.
Key features include:
Interest rate data for the USA, European Union, Australia, Canada, Switzerland, Japan, United Kingdom, and New Zealand (Interest Rate Symbols are editable in the settings).
A table displaying country flags, names, and the latest interest rates, providing a clear and immediate comparison.
Country-representative colors for easy identification and visual distinction between different countries' data.
This indicator is designed for traders and analysts looking for a quick and efficient way to monitor and compare the interest rates of major economies directly within TradingView, facilitating better informed financial and investment decisions.
Candle + Volume as HistogramNow plot Candle and Volume as Histogram Oscillator. It is a very simple but very effective indicator to see what is happening at Volume and Candle levels. It clearly plots whether the market is trending, volatile, what is going to happen in next candles etc. Above Zero is price candle and below Zero is Volume histogram.
SETTINGS:
EMA : 9 period EMA on price is default, which I find the best, but you can change as you likes. Below zero line shows market is in negative phase and above zero market is positive.
PRICE CANDLE : As price and volume have different numeric value, so you have to use multiplier to set the proper price candle, which is plotted above zero
VOLUME : As price and volume have different numeric value, so you have to use multiplier to set the Volume candle, which is plotted below zero.
ZERO LINE : use ‘Gap between Candle and Volume plotting’. Increase the value until you see a thin line between price and volume histogram.
NOTE: (i) When you will plot the indicator for the first time, either price candle may not be appearing properly or volume. It means that non-appearing histogram side needs multiplication, so keep on increasing value on proper side until both side histogram appears properly.
(ii) In other case. Price or volume histogram may appear as full Candle. In this case too, you need to increase multiplier value on opposite side till value becomes equal on both sides.
These settings are important because a share price can be 10 only whereas volume may be in millions. Indicator has been tested on many shares and indexes, so never feels that indicator is improper. Just try to change the setting.
Enjoy.
Market Activity Risk"Market Activity Risk" (MAR) - Is a dynamic tool designed to structurize the competitive landscape of blockchain transaction blocks, offering traders a strategic edge in anticipating market movements.
By capturing where market participants are actively buying and selling, the MAR indicator provides insights into areas of high competition, allowing traders to make informed decisions and potentially front-run transactions.
At the heart of this tool are blockchain transaction fees , they can represent daily shifts in transaction fee pressures.
By measuring momentum in fees, we can analyze the urgency and competition among traders to have their transactions processed first. This indicator is particularly good at revealing potential support or resistance zones, areas where traders are likely to defend their positions or increase their stakes, thus serving as critical junctures for strategic decision-making.
Key Features:
Adaptable Standard Deviation Settings: Users have the flexibility to adjust the length of the standard deviation and its multipliers, managing the risk bands to their individual risk tolerance.
Color-Coded Risk Levels: The MAR indicator employs an intuitive color scheme, making it easy to interpret the data at a glance.
Multi-Currency Compatibility: While designed with Bitcoin in mind, the MAR indicator is versatile, functioning effectively across various cryptocurrencies including Ethereum, XRP, and several other major altcoins. This broad compatibility ensures that traders across different market segments can leverage the insights provided by this tool.
Customizable Moving Average: The 730-day moving average setting is thoughtfully chosen to reflect the nuances of a typical cryptocurrency cycle, capturing long-term trends and fluctuations. However, recognizing the diverse needs and perspectives of traders, the indicator allows for the moving average period to be modified.
SAT - Sentiment Analysis Tool by Csth97This code calculates the correlation between the ATR and the OBV of the price, and plots the difference between the positive and negative OBV correlations as a line. It also plots horizontal lines at the UP and DOWN levels, and signals bullish and bearish crosses when the difference line crosses those levels.
Inflation IndicatorThis script provides a great view of Year-over-Year (YoY) inflation rates for key countries.
The inflation data used per default are TradingView Tickers, but you can change them to anything you want from the settings.
There is no calculation in this script, all it does is providing a overview of inflation rates in a single indicator.
Inflation data for the USA, European Union, Australia, Canada, Switzerland, Japan, United Kingdom, and New Zealand (Inflation Symbols editable in the settings)
Customizable static line to indicate a specific threshold value (default: 2.0).
Table displaying country flags, names, and the latest inflation rates.
Country-representative colors for easy identification.
Economic Growth Index (XLY/XLP)Keeping an eye on the macroeconomic environment is an essential part of a successful investing and trading strategy. Piecing together and analysing its complex patterns are important to detect probable changing trends. This may seem complicated, or even better left to experts and gurus, but it’s made a whole lot easier by this indicator, the Economic Growth Index (EGI).
Common sense shows that in an expanding economy, consumers have access to cash and credit in the form of disposable income, and spend it on all sorts of goods, but mainly crap they don’t need (consumer discretionary items). Companies making these goods do well in this phase of the economy, and can charge well for their products.
Conversely, in a contracting economy, disposable income and credit dry up, so demand for consumer discretionary products slows, because people have no choice but to spend what they have on essential goods. Now, companies making staple goods do well, and keep their pricing power.
These dynamics are represented in EGI, which plots the Rate of Change of the Consumer Discretionary ETF (XLY) in relation to the Consumer Staples ETF (XLP). Put simply, green is an expanding phase of the economy, and red shrinking. The signal line is the market, a smoothed RSI of the S&P500. Run this on a Daily timeframe or higher. Check it occasionally to see where the smart money is heading.
BTC Perp/Spot Price DifferenceThis is a simple script that provides you with realtime information on the actual Bitcoin price difference between the Binance Perpetual Futures and the Coinbase Spot markets.
I consider this information very useful - especially on intraday timeframes - because it immediately shows the way the retail margin traders are skewed.
Positive values mean that the margin retail daytraders are mainly long, negative values mean the opposite.
I hope this indicator will help you in your intraday Bitcoin trades.
NY Open Breakout Strategy - High Liquidity & Favorable RRR Pine Description:
The NY Open Breakout Strategy is an advanced Pine Script indicator tailored for the TradingView platform. This strategy is specifically designed to exploit the high liquidity found during the New York session opening in the Forex market. Its primary goal is to provide traders with an opportunity to engage in positions with lower risk and higher potential profits, thereby ensuring an advantageous risk-to-reward ratio (RRR).
Core Objectives:
Leveraging High Liquidity: Capitalizes on the significant market movements at the New York session opening, known for its high liquidity, to identify strong breakout signals.
Achieving Favorable RRR: By setting strategic stop-loss and take-profit levels, the strategy aims for a higher RRR. This approach can lead to overall profitability, even if the win rate is lower than the loss rate.
Functionality:
Dynamic Breakout Identification: Uses the first 15-minute candle’s high and low after NY open as benchmarks for detecting potential breakouts.
Customizable Stop-Loss & Take-Profit: Provides options to configure stop-loss at the last swing or the previous candle’s close. The take-profit levels are determined based on a favorable risk-reward ratio.
Visual Session Indicators: Includes distinct background coloring and vertical lines to mark the New York session for easy visibility.
Methodology:
This strategy hinges on the premise that the opening of the New York session often triggers key price movements due to an influx of trading activity. By focusing on these moments, our indicator aims to capture strong trends and breakout patterns. The carefully calibrated stop-loss and take-profit settings ensure that each trade aims for a higher potential reward compared to the risk undertaken.
Unique Features:
Enhanced Risk Management: With adaptable risk-reward settings, traders can tailor their trading strategies to align with individual risk appetites.
Personalized User Experience: Offers a range of customizable settings for visual elements, allowing traders to adjust the look and feel of the indicator to their preferences.
Usage Guidelines:
Customize the indicator settings, including the stop-loss reference and risk-reward ratio, to match your trading style.
Watch for 'Buy Enter' and 'Sell Enter' signals during the New York session opening.
Utilize the displayed stop-loss and take-profit levels to effectively manage each trade.
This NY Open Breakout Strategy is ideal for traders who prioritize efficient risk management while aiming to capitalize on the high liquidity periods of the Forex market. The strategy is designed to be robust, providing a pathway to profitability even in scenarios where the number of losing trades surpasses winning ones, thanks to its emphasis on a high risk-to-reward ratio.
Weekly BiasWeekly Bias
For H1 time frame and below.
Horizontal Line Plots every week.
Condition for line is 12am EST on Monday.
Price above, line is green~ potential bullishness.
Price below, line is red~ potential bearishness.
This line gives us potential sentiment for any given week on any given forex market.
If you have any questions, or want access to other indicators, please message me.
Williams Percent Range with Trendlines and BreakoutsHere is my "Williams Percent Range with Trendlines and Breakouts" indicator, a simple yet powerful tool for traders. This indicator combines the classic Williams %R oscillator, which helps identify overbought and oversold levels, with added trendlines for easier trend analysis at a glance.
It's designed to make spotting potential breakouts easier by drawing attention to significant price movements. With customizable settings for the Williams %R period and trendline sensitivity, it's a flexible tool for various symbols and trading styles.
Whether you're looking to refine your trading strategy or just need a clearer view of market trends, this indicator should offer a straight forward approach to hopefully enhance your trading decisions.
Disclaimer: This indicator is intended for educational and informational purposes only. Always conduct your own research and analysis before making trading decisions.
Rotation Factor for TPO and OHLC (Plot)The Rotation Factor objectively measures attempted market direction(or market sentiment) for a given period. It records the cumulative directional attempts of auction rotations within a given period, thus, helping traders determine which way the market is trying to go and which market participant is exerting greater control or influence.
Theory
The premise is that a greater number of bars auctioning higher contrasted to bars auctioning lower indicates that buyers are exerting greater control over price within the given period(usually daily). In this case, the market is attempting to go higher (Market is Bullish). The same is true for a greater number of bars auctioning lower than higher, which, in this case, indicates that the sellers are exerting greater control over price within the given period and that the market is attempting to go lower (Market is Bearish).
Calculation
Each bar is individually measured in relation to the immediate previous bar, and calculations are reset at the beginning of each period.
For every bar, two variables are utilised: One for the highs and another for the lows. During bar start, these variables are initiated at 0.
As the period progresses, these variables are set accordingly: If the high of the current bar is higher than that of the previous bar, then the bar's highs variable is assigned a "+1". If the opposite is true, it is given a "-1". Finally, if both bar highs are equal, it is, instead, assigned a "0". The same is true for the lows: if the low of the current bar is higher than that of the previous low, then the bar's lows variable is assigned a "+1". Similarly, the opposite is given a "-1", while equal lows causes it to be assigned a "0". All highs and lows are then summed together resulting to a total, which becomes the Rotational Factor.
Presentation
Furthermore, this Rotation Factor Indicator is presented as a plot, which, unlike its classic variation, shows you how the rotation factor is developing. It also includes lines indicating the Top Rotation Factor and the Bottom Rotation Factor individually, the better to observe the developing auction.
Link to the Classic Variation:
Features
1. Customisable Tick Size/Granularity : The calculation tick size/ granularity is customisable which can be accessed through the indicator settings.
2. Customisable Labels and Lines : The colour and sizes used by the labels and lines are customisable the better for accessibility.
3. Period Separator : A separator is rendered to represent period borders (start and end). If separators are already present on your chart, you can remove them from the indicator settings.
4. Individual Top Rotation Factor and Bottom Rotation Factor plots : These two parts which becomes of the Rotation Factor are also presented individually, on their own plots, the better to observe the developing auction.
Works for both split Market Profile(TPO) charts and regular OHLC bars/candle charts
The Rotation Factor is usually used with a Split Market Profile (TPO). However, if no such tool is available, you will still be able to benefit from the Rotation Factor as the price ranges of Split Market Profiles and OHLC bars/candles are one and the same. In such cases, it is recommended that you set your chart to use a 30 minute timeframe and the indicator's period to "daily" to simulate a Split Market Profile.
Note :
The Rotation Factor is, to quote, "by no means not an all-conclusive indication of future market direction.". It only helps determine which way the market is trying to go by objectively measuring the market's directional attempts.
Rotation Factor for TPO and OHLC (Classic)The Rotation Factor objectively measures attempted market direction(or market sentiment) for a given period. It records the cumulative directional attempts of auction rotations within a given period, thus, helping traders determine which way the market is trying to go and which market participant is exerting greater control or influence.
Theory
The premise is that a greater number of bars auctioning higher contrasted to bars auctioning lower indicates that buyers are exerting greater control over price within the given period(usually daily). In this case, the market is attempting to go higher (Market is Bullish). The same is true for a greater number of bars auctioning lower than higher, which, in this case, indicates that the sellers are exerting greater control over price within the given period and that the market is attempting to go lower (Market is Bearish).
Calculation
Each bar is individually measured in relation to the immediate previous bar, and calculations are reset at the beginning of each period.
For every bar, two variables are utilised: One for the highs and another for the lows. During bar start, these variables are initiated at 0.
As the period progresses, these variables are set accordingly: If the high of the current bar is higher than that of the previous bar, then the bar's highs variable is assigned a "+1". If the opposite is true, it is given a "-1". Finally, if both bar highs are equal, it is, instead, assigned a "0". The same is true for the lows: if the low of the current bar is higher than that of the previous low, then the bar's lows variable is assigned a "+1". Similarly, the opposite is given a "-1", while equal lows causes it to be assigned a "0". All highs and lows are then summed together resulting to a total, which becomes the Rotational Factor.
Presentation
Furthermore, this Rotation Factor Indicator is presented as it is calculated, which is the presentation utilised by classic sources (hence the name classic).
Features
1. Customisable Tick Size/Granularity : The calculation tick size/ granularity is customisable which can be accessed through the indicator settings.
2. Customisable Labels : The colour and sizes used by the labels are customisable the better for accessibility.
3. Period Separator : A separator is rendered to represent period borders (start and end). If separators are already present on your chart, you can remove them from the indicator settings.
Works for both split Market Profile(TPO) charts and regular OHLC bars/candle charts
The Rotation Factor is usually used with a Split Market Profile (TPO). However, if no such tool is available, you will still be able to benefit from the Rotation Factor as the price ranges of Split Market Profiles and OHLC bars/candles are one and the same. In such cases, it is recommended that you set your chart to use a 30 minute timeframe and the indicator's period to "daily" to simulate a Split Market Profile.
Note :
The Rotation Factor is, to quote, "by no means not an all-conclusive indication of future market direction.". It only helps determine which way the market is trying to go by objectively measuring the market's directional attempts.
Volume-Trend Sentiment (VTS) [AlgoAlpha]Introducing the Volume-Trend Sentiment by AlgoAlpha, a unique tool designed for traders who seek a deeper understanding of market sentiment through volume analysis. This innovative indicator offers a comprehensive view of market dynamics, blending volume trends with price action to provide an insightful perspective on market sentiment. 🚀📊
Key Features:
1. 🌟 Dual Trend Analysis: This indicator combines the concepts of price movement and volume, offering a multi-dimensional view of market sentiment. By analyzing the relationship between the closing and opening prices relative to volume, it provides a nuanced understanding of market dynamics.
2. 🎨 Customizable Settings: Flexibility is at the core of this indicator. Users can adjust various parameters such as the length of the volume trend, standard deviation, and SMA length, ensuring a tailored experience to match individual trading strategies.
3. 🌈 Visual Appeal: With options to display noise, the main plot, and background colors, the indicator is not only informative but also visually engaging. Users can choose their preferred colors for up and down movements, making the analysis more intuitive.
4. ⚠️ Alerts for Key Movements: Stay ahead of market changes with built-in alert conditions. These alerts notify traders when the Volume-Trend Sentiment crosses above or below the midline, signaling potential shifts in market momentum.
How It Works:
The core of the indicator is the calculation of the Volume-Trend Sentiment (VTS). It is computed by subtracting a double-smoothed Exponential Moving Average (EMA) of the price-volume ratio from a single EMA of the same ratio. This method highlights the trend in volume relative to price changes.
volumeTrend = ta.ema((close - open) / volume, volumeTrendLength) - ta.ema(ta.ema((close - open) / volume, volumeTrendLength), volumeTrendLength)
To manage volatility and noise in the volume trend, the indicator employs a standard deviation calculation and a Simple Moving Average (SMA). This smoothing process helps in identifying the true underlying trend by filtering out extreme fluctuations.
standardDeviation = ta.stdev(volumeTrend, standardDeviationLength) * 1
smoothedVolumeTrend = ta.sma(volumeTrend / (standardDeviation + standardDeviation), smaLength)
A unique feature is the dynamic background color, which changes based on the sentiment level. This visual cue instantly communicates the market's bullish or bearish sentiment, enhancing the decision-making process.
getColor(volumeTrendValue) =>
sentimentLevel = math.abs(volumeTrendValue * 10)
baseTransparency = 60 // Base transparency level
colorTransparency = math.max(90 - sentimentLevel * 5, baseTransparency)
volumeTrendValue > 0 ? color.new(upColor, colorTransparency) : color.new(downColor, colorTransparency)
bgcolor(showBackgroundColor ? getColor(smoothedVolumeTrend) : na)
In summary, the Volume-Trend Sentiment by AlgoAlpha is a comprehensive tool that enhances market analysis through a unique blend of volume and price trends. Whether you're a seasoned trader or just starting out, this indicator offers valuable insights into market sentiment and helps in making informed trading decisions. 📈📉🔍🌐
Emibap's Uniswap V3 HEX/WETH 0.3% Liquidity PoolThis script will display a histogram of the Uniswap V3 HEX / WETH 3% liquidity pool.
Similar to what you can see in the liquidity section of the Uniswap pool page but conveniently rendered alongside your chart.
It's meant to be used on a HEX / WETH chart only. The price should be expressed in WETH for it to work.
One of the main motivations for using this in your chart is to get an idea of the current sentiment: If most of the volume is below the price it might be an indication of an upcoming move up, for instance.
I'll try to update the liquidity regularly.
Using the 4h, daily, or weekly time frames is highly recommended.
The options are straightforward:
Histogram bars color. Default is blue
Histogram background color. Default is black at 20% opacity
Upper price limit of the diagram: Visible upper bound price limit for the histogram, based on the current price. I.E: 200%: If the price is 1, the histogram will show 3 as the upper bound
Lower price limit of the diagram. Visible lower bound price limit for the histogram, based on the current price. I.E: 99%: If the price is 1, the histogram will show 0. 01 as the upper bound
Width of the widest bar: Width (in bars) for the widest bar of the histogram. The more the higher resolution you'll get
Blockunity Drawdown Visualizer (BDV)Monitor the drawdown (value of the drop between the highest and lowest points) of assets and act accordingly to reduce your risk.
Introducing BDV, the incredibly intuitive metric that visualizes asset drawdowns in the most visually appealing manner. With its color gradient display, BDV allows you to instantly grasp the state of retracement from the asset’s highest price level. But that’s not all – you have the option to display the oscillator’s colorization directly on your chart, enhancing your analysis even further.
The Idea
The goal is to provide the community with the best and most complete tool for visualizing the Drawdown of any asset.
How to Use
Very simple to use, the indicator takes the form of an oscillator, with colors ranging from red to green depending on the Drawdown level. A table summarizes several key data points.
Elements
On the oscillator, you'll find a line with a color gradient showing the asset's Drawdown. The flatter line represents the Max Drawdown (the lowest value reached).
In addition, the table summarizes several data:
The asset's All Time High (ATH).
Current Drawdown.
The Max Drawdown that has been reached.
Settings
First of all, you can activate a "Bar Color" in the settings (You must also uncheck "Borders" and "Wick" in your Chart Settings):
You can display Fibonacci levels on the oscillator. You'll see that levels can be relevant to drawdown. The color of the levels is also configurable.
In the calculation parameters, you can first choose between taking the High of the candles or the Close. By default this is Close, but if you change the parameter to High, the indication next to ATH in the table will change, and you'll see that the values in the table will be affected.
The second calculation parameter (Start Date) lets you modify the effective start date of the ATH, which will affect the drawdown level. Here's an example:
How it Works
First, we calculate the ATH:
var bdv_top = bdv_source
bdv_top := na(bdv_top ) ? bdv_source : math.max(bdv_source, bdv_top )
Then the drawdown is calculated as follows:
bdv = ((bdv_source / bdv_top) * 100) - 100
Then the max drawdown :
bdv_max = bdv
bdv_max := na(bdv_max ) ? bdv : math.min(bdv, bdv_max )
