blackOrb PhaseMA matrix for identification of bullish/bearish macro phases and strategy implementation through the definition of effective MA lengths.
Moving Averages, when conventionally employed in either single-line or dual-line configurations, come with inherent limitations that hinder their effectiveness in capturing the complexities of varying market conditions.
In response to this challenge, blackOrb Phase utilizes a combination of quantitative and relational MA analysis techniques, providing users with a more comprehensive understanding of market trends and a granular derivation of price-dynamic phases by using the following features:
I. MA matrix to identify effective MA lengths for strategy implementation
II. Stochastic coloring for trend tracking and macro phase identification
III. Diverse MA options for enhanced analytical flexibility
Technical Methodology
I. MA Matrix to Identify Effective MA Lengths for Strategy Implementation
Central to the methodology is the ability to identify optimal MA lengths for effective strategy implementation. blackOrb Phase utilizes a matrix of multiple MAs, each characterized by unique parameters, to establish a relational grid structure. By systematically examining price data within predefined vertical segments, this matrix offers a linear multi-level modulation of historical price data, providing access to up to 500 prior data instances. This methodology enhances the analysis of both micro price dynamics shifts and bullish or bearish macro trend changes. It has been empirically validated that this approach can assist users to refine their analysis and adapt to varying market conditions*.
Crossings of MA lines with different colors signify potential shifts in price dynamic phases. When green MA lines intersect red MA lines, it suggests a higher likelihood of a macro trend change (bullish or bearish market environment). Conversely, when green MA lines cross over orange MA lines, it indicates a lower probability of a macro trend change but still suggests a potential micro trend shift. This micro trend shift can be viewed as a subordinate price dynamic change within the broader macro trend.
*Source: Prof. Pätäri, Eero. "Performance of moving average trading strategies over varying stock market conditions." Applied Economics, vol. 46, no. 24, 2014, pp. 2851-2872.
II. Stochastic Coloring for Trend Tracking and Macro Phase Identification
To provide a comprehensive view, this indicator includes a stochastic tracking feature, displayed through an intuitive single-color system across the entire matrix grid. The color scheme transitions from red lines, indicating the beginning of bearish trend phases, to green lines, indicating the initiation of bullish trend phases and vice versa. The greater the number of lines with the same color, the stronger the trend.
This tool enhances price trend monitoring, allowing traders not only to track their initiation and continuation but also to confirm trend culmination. By observing color shifts from red/green lines, traders can assess the sustainability and persistence of broader macro trends.
Note: Stochastic coloring aids in probability-based orientation and provides valuable insights for trading strategy implementation. It is most effective when used in conjunction with other analysis and risk management techniques.
III. Diverse MA Options for Enhanced Analytical Flexibility
Users have the flexibility to choose from 14 different MA types (e.g. including ALMA, KAMA, T3, VWMA, TriMA and ZLEMA). This versatility allows for precise configurations tailored to specific market conditions.
For example, among the array of these 14 MA alternatives, VWMA (Volume Weighted MA) stands out as a suitable implementation choice for integrating volume data. It goes beyond the scope of a simple moving average, considering both price and volume in its calculation, as shown in the following formula:
(C1 x V1 + C2 x V2 + ... + Cn x Vn) / (V1 + V2 + ... + Vn)
Alongside this variety of MA types, users can select from a range of OHLC combination options (open, high, low and close price data), further enhancing analytical flexibility.
Note: While these choices offer substantial flexibility, they also require a solid understanding of the various MA types and data combinations, making risk management essential.
Note on Usability
blackOrb Phase can have synergies with blackOrb Price and blackOrb Zone as all three indicators combined can give a bigger picture for supporting comprehensive and multifaceted data-driven trading analysis.
This tool was meticulously created to serve as an additional frame for the seamless integration of other more granular trading indicators. This indicator isn't intended for standalone trading application. Instead, it is serving as a supplementary tool for orientation within broader trading strategies.
Irrespective of market conditions, it can harmonize with a wider range of trading styles and instruments / trading pairs / indices like Stocks, Gold, FX, EURUSD, SPX500, GBPUSD, BTCUSD and Oil.
Inspiration and Publishing
Taking genesis from the inspirations amongst others provided by TradingView Pine Script Wizard Kodify, blackOrb Phase is a multi-encompassing script meticulously forged from scratch. It aspires to furnish a comprehensive approach, borne out of personal experiences and a strong dedication in supporting the trading community. We eagerly await valuable feedback to refine and further enhance this tool.
Educational
Multi Timeframe Indicator Signals [pAulseperformance]█ Concept:
In this TradingView Pine Script publication, we introduce a powerful tool that offers extensive capabilities for traders and analysts. With a focus on combining multiple indicators, analyzing various timeframes, and fine-tuning your trading strategies, this tool empowers you to make informed trading decisions.
█ Key Features:
1. Combining Multiple Rules with AND / OR Operations
• Example: You can combine the Relative Strength Index (RSI) with the Moving Average Convergence Divergence (MACD) by selecting the "AND" operation. This ensures that you only get a signal when both indicators generate signals. Alternatively, you can add custom indicators and select "OR" to create more complex strategies.
2. Selecting Multiple Indicators on Different Timeframes
• Analyze the same indicator on different timeframes to get a comprehensive view of market conditions.
3. Reversing Signals
• Reverse signals generated by indicators to adapt to various market conditions and strategies.
4. Extending Signals
• Extend signals by specifying conditions such as "RSI cross AND MA cross WITHIN 2 bars."
5. Feeding Results into Backtesting Engine
• Evaluate the performance of your strategies by feeding the results into a backtesting engine.
█ Available Indicators:
External Inputs
• Combine up to 4 custom indicators to assess their effectiveness individually and in combination with other indicators.
MACD (Moving Average Convergence Divergence)
• Analyze MACD signals across multiple timeframes and customize your strategies.
• Signal Generators:
• Signal 1: 🔼 (+1) MACD ⤯ MACD Signal Line 🔽 (-1) MACD ⤰ MACD Signal Line
• Signal 2: 🔼 (+1) MACD ⤯ 0 🔽 (-1) MACD ⤰ 0
• Filter 1: 🔼 (+1) MACD > 0 🔽 (-1) MACD < 0
RSI (Relative Strength Index)
• Utilize RSI signals with flexibility across different timeframes.
• Signal Generators:
• Signal 1: 🔼 (+1) RSI ⤯ Oversold 🔽 (-1) RSI ⤰ Overbought
• Signal 2: 🔼 (+1) RSI ⤰ Oversold 🔽 (-1) RSI ⤯ Overbought
• Filter 1: 🔼 (+1) RSI <= Oversold 🔽 (-1) RSI >= Overbought
MA1 and MA2 (Moving Averages)
• Choose from various types of moving averages and analyze them across multiple timeframes.
• Signal Generators:
• Filter 1: 🔼 (+1) Source Above MA 🔽 (-1) Source Below MA
• Filter 2: 🔼 (+1) MA Rising 🔽 (-1) MA Falling
• Signal 1: 🔼 (+1) Source ⤯ MA 🔽 (-1) Source ⤰ MA
Bollinger Bands
• Multi Time Frame
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ BBLower 🔽 (-1) Close ⤰ BBUpper
• Signal 2: 🔼 (+1) Close ⤰ BBLower 🔽 (-1) Close ⤯ BBUpper
Stochastics
• Customize your MTF Stochastics analysis between Normal Stochastic and Stochastic RSI.
• Signal Generators:
• Filter 1: 🔼 (+1) K < OS 🔽 (-1) K > OB
• Signal 1: 🔼 (+1) K ⤯ D 🔽 (-1) K ⤰ D
• Signal 2: 🔼 (+1) K ⤯ OS 🔽 (-1) K ⤰ OB
• Signal 3: 🔼🔽 Filter 1 And Signal 1
Ichimoku Cloud
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Komu Cloud 🔽 (-1) Close ⤰ Komu Cloud
• Signal 2: 🔼 (+1) Kumo Cloud Red -> Green 🔽 (-1) Kumo Cloud Green -> Red
• Signal 3: 🔼 (+1) Close ⤯ Kijun Sen 🔽 (-1) Close ⤰ Kijun Sen
• Signal 4: 🔼 (+1) Tenkan Sen ⤯ Kijun Sen 🔽 (-1) Tenkan Sen ⤰ Kijun Sen
SuperTrend
• MTF
• Signal Generators:
• Signal 1: 🔼 (+1) Close ⤯ Supertrend 🔽 (-1) Close ⤰ Supertrend
• Filter 1: 🔼 (+1) Close > Supertrend 🔽 (-1) Close < Supertrend
Support And Resistance
• Receive signals when support/resistance levels are breached.
Price Action
• Analyze price action across various timeframes.
• Signal Generators:
• Signal 1 (Bar Up/Dn): 🔼 (+1) Close > Open 🔽 (-1) Close < Open
• Signal 2 (Consecutive Up/Dn): 🔼 (+1) Close > Previous Close # 🔽 (-1) Close < Previous Close #
• Signal 3 (Gaps): 🔼 (+1) Open > Previous High 🔽 (-1) Open < Previous Low
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Unlock the full potential of these indicators and tools to enhance your trading strategies and improve your decision-making process. With over 10 indicators and more than 30 different ways to generate signals you can rapidly test combinations of popular indicators and their strategies with ease. If your interested in more indicators or I missed a strategy, leave a comment and I can add it in the next update.
Happy trading!
IU Break of any session StrategyHow this script works:
1. This script is an intraday trading strategy script which buy and sell on the bases of user-defined intraday session range breakout and gives alert(if the alert is set) message too when the new position is open.
2. It calculate the session as per the user inputs or user defined custom session.
3. The script stores the highest and lowest value of the whole session.
4. It take a long position on the first break and close above the highest value.
5. It take a short position on the break and close below the lowest value.
6. The script takes one position in one day.
7. The stop loss for this script is the previous low(if long) or high(if short).
8. Take profit is 1:2 and it's adjustable.
9. This script work on every kind of market.
How The Useful For The User :
1. User can backtest any session range breakout he wants to trade.
2. User can get alert when the new position is open.
3. User can change the Risk to Reward in order to find the best Risk to Reward.
4. User can see the highest and lowest value of the session with respect to analyzing his trading objective.
5. This strategy script highlights which session range breakout performs best and which performs worst.
SizeblockPrice change indicator in the form of diagonal rows.
The calculation is based on the percentage or tick deviation of the price movement (indicated in the "Deviation" parameter), which is displayed on the chart in the form of rows.
The row consists of the base middle line, upper and lower limits:
The middle line is the basis for the upper and lower limits of the current row.
The upper and lower limits are deviations from the base middle line of the current row.
The base middle line is equal to the upper or lower limits of the previous row (if the price changes rapidly in one time interval, then the base middle line of the current row is greater than the upper limit of the previous row or less than the lower limit of the previous row by an equal number of deviations depending on the direction of price movement). At the beginning of the calculation, the base middle line is equal to the initial value of the first row.
The "Quantity" parameter determines the deviation for the upper or lower limits depending on the direction of the price movement, and the "U-turn" parameter determines the deviation for changing the direction of the price movement.
The rule for constructing a new row:
The "Source" parameter accepts, depending on the choice, the price of high, low values or the closing price from the time interval of the chart.
When the price reaches the upper or lower limits of the row and goes beyond them, a new row is formed with the same parameters for deviation of the upper and lower limits from the base middle line, depending on the direction of price movement.
By adjusting certain deviations, you can clearly see the local trend and reversal points on the chart.
A useful tool for tracking price direction.
Thanks for your attention!
IU Probability CalculatorHow This Script Works:
1. This script calculate the probability of price reaching a user-defined price level within one candle with the help Normal Distribution Probability Table.
2. Normal Distribution Probability Table is use for calculating probability of events, it's very powerful for calculation of probability and this script is fully based on that table.
3. It takes the Average True Range value or Standard Deviation value of past user-defined length bar.
4. After that it take this formula z = ( price_level - close ) / (ATR or Standard Deviation) and return the value for z, for the bearish side it take z = (close - price level) / (ATR or Standard Deviation ) formula.
5. Once we have the z it look into Normal Distribution Probability Table and match the value.
6. Now the value of z is multiple buy 100 in order to make it look in percentage term.
7. After that this script subtract the final value with 100 because probability always comes under 100%
8. finally we plot the probability at the bottom of the chart the red line indicates "The probability of price not reaching that price level", While the green line indicates "Probability of price Reaching that level " .
9. This script will work fine for both of the directions
How This Is Useful For The User:
1. With this script user can know the probability of price reaching the certain level within one candle for both Directions .
2. This is useful while creating options hedging strategies
3. This can be helpful for deciding stop loss level.
4. It's useful for scalpers for managing their traders and it can be use by binary option traders.
IU Average move How The Script Works :
1. This script calculate the average movement of the price in a user defined custom session and plot the data in a table from on top left corner of the chart.
2. The script takes highest and lowest value of that custom session and store their difference into an array.
3. Then the script average the array thus gets the average price.
4. Addition to that the script converter the price pip change into percentage in order to calculate the value in percentage form.
5. This script is pure price action based the script only take price value and doesn't take any indicator for calculation.
6. The script works on every type of market.
7. If the session is invalid it returns nothing
8. The background color, text color and transparency is changeable.
How User Can Benefit From This Script:
1. User can understand the volatility of any session that he/she wish to trade.
2. It can be helpful for understanding the average price moment of any tradeble asset.
3. It will give the average price movement both in percentage and points bases.
4. By understanding the volatility user can adjust his stop loss or take profit with respect his risk management.
itradesize /\ Remaining Time - Candle close countdown A simple tool that displays the remaining time of M15, H1, H4, and D candles until they close.
Moreover, It works on all timeframes with all the exact data of the desired timeframe.
It can be such a useful tool when you using OHLC, AMD, and other theories. As you do not need to scrub back and forth through different timeframes to look for a bar close.
Notes:
• The Remaining Time Table only works in real time. It will show a “-“ sign, when you are in a replay mode.
This indicator has a Watermark section too where you can add your name/title/etc.. additionally, it shows the symbol, current timeframe, current date and you are able to customise them.
Global Central Banks Balance Sheet USD-AdjustedSumming up central banks balance sheet of:
US , China, EU, Japan, UK,
Swiss, Australia, Canada, Norway
Brazil, Russia, India, Mexico, Indonesia
Taiwan, HK, Korea, SG, Thailand
Then adjusting it to USD as the common denominator for comparison.
Net Foreign Assets (or foreign reserves) + Net Domestic Assets (or domestic credit, usually Money Supply M1) = Total Assets of the Central Bank Balance Sheet
In some way, the central bank balance sheet could be M2. However, I find some of the indicators don't add up and I don't have the time to check them out. This indicator is just a proxy. The issue with using central bank balance sheet to determine liquidity in the system is that it doesn't account for 1) collateral used for liquidity management in the public and private system, 2) shadow-banking financial system. As usual, US + EU + Japan publishes their data every weekly and the rest of the central banks publish monthly. I have removed any country with hard-pegged currencies except HK.
Additional materials to aid understanding:
www.imf.org
Tops & Bottoms - Time of Day Report█ OVERVIEW
The indicator tracks and reports the percentage of occurrence of daily tops and bottoms by the time of the day.
█ CONCEPTS
At certain times during the trading day, the market reverses and marks the high or low of the day. Tops and bottoms are vital when entering a trade, as they will decide if you are catching the train or being straight offside. They are equally crucial when exiting a position, as they will determine if you are closing at the optimal price or seeing your unrealized profits vanish.
This indicator is before all for educational purposes. It aims to make the knowledge available to all traders, facilitate understanding of the various markets, and ultimately get to know your trading pairs by heart.
Tops and bottoms percentage of occurrence on EURGBP (London time).
Up days versus down days on EURUSD (London time).
█ FEATURES
Selectable time zones
Present the column chart in your local time zone (or other market participants).
Configurable time range filter
Select the period to report from.
Day type filter
Analyze all days, or filter only up days or down days.
█ HOW TO USE
Plot the indicator and visit the 1-hour or 30-minute timeframe.
█ NOTES
Timeframe choice
The 1-hour timeframe produces a higher number of days sampled. Prefer the usage of the 30-minute timeframe when your market starts at 9:30 AM.
Daylight Saving Time (DST)
The exchange time and geographical time zone options may observe Daylight Saving Time, unlike UTC+0.
BearMetricsLooking at the financial health of a company is a critical aspect of stock analysis because it provides essential insights into the company's ability to generate profits, meet its financial obligations, and sustain its operations over the long term. Here are several reasons why assessing a company's financial health is important when evaluating a stock:
1. **Profitability and Earnings Growth**: A company's financial statements, particularly the income statement, provide information about its profitability. Analyzing earnings and revenue trends over time can help you assess whether the company is growing or declining. Investors generally prefer companies that show consistent earnings growth.
2. **Risk Assessment**: Financial statements, including the balance sheet and income statement, offer a comprehensive view of a company's assets, liabilities, and equity. By evaluating these components, you can gauge the level of financial risk associated with the stock. A healthy balance sheet typically includes a manageable debt load and strong equity.
3. **Cash Flow Analysis**: Cash flow statements reveal how effectively a company manages its cash, which is crucial for day-to-day operations, debt servicing, and future investments. Positive cash flow is essential for a company's stability and growth prospects.
4. **Debt Levels**: Examining a company's debt levels and debt-to-equity ratio can help you determine its leverage. High debt levels can be a cause for concern, as they may indicate that the company is at risk of financial distress, especially if it struggles to meet interest payments.
5. **Liquidity**: Liquidity is vital for a company's short-term survival. By assessing a company's current assets and current liabilities, you can gauge its ability to meet its short-term obligations. Companies with low liquidity may face difficulties during economic downturns or unexpected financial challenges.
6. **Dividend Sustainability**: If you're an income-oriented investor interested in dividend-paying stocks, you'll want to ensure that the company can sustain its dividend payments. A healthy balance sheet and consistent cash flow can provide confidence in dividend sustainability.
7. **Investment Confidence**: A company with a strong financial position is more likely to attract investor confidence and positive sentiment. This can lead to higher stock prices and a lower cost of capital for the company, which can be beneficial for its growth initiatives.
8. **Risk Mitigation**: By assessing a company's financial health, you can mitigate investment risk. Understanding a company's financial position allows you to make more informed decisions about the level of risk you are comfortable with and whether a particular stock aligns with your risk tolerance.
9. **Long-Term Viability**: Ultimately, investors are interested in companies that have the potential for long-term success. A company with a healthy financial foundation is more likely to weather economic downturns, adapt to industry changes, and thrive over the years.
In summary, examining a company's financial health is a fundamental aspect of stock analysis because it provides a comprehensive picture of the company's current state and its ability to navigate future challenges and capitalize on opportunities. It helps investors make informed decisions and assess the long-term prospects of a stock in their portfolio.
sᴛᴀɢᴇ ᴀɴᴀʏʟsɪsStage analysis is a technical analysis approach that involves categorizing a stock's price movements into different stages to help traders and investors make more informed decisions. It was popularized by Stan Weinstein in his book, "Secrets for Profiting in Bull and Bear Markets." The stages are used to identify the overall trend and to time entries and exits in the market. Here's an explanation of the typical stages in stage analysis:
1. **Stage 1: Accumulation Phase**
- In this stage, the stock is in a downtrend or has been trading sideways for an extended period.
- Volume is relatively low, indicating that institutions and smart money may be quietly accumulating shares.
- The stock may test and hold support levels, showing signs of stability.
- The goal for traders in this stage is to identify the potential for a trend reversal.
2. **Stage 2: Markup (Bull Market) Phase**
- This is the stage where the stock starts a significant uptrend.
- Volume increases as institutional and retail investors become more interested in the stock.
- Technical indicators like moving averages and trendlines confirm the uptrend.
- Traders and investors look for buying opportunities during pullbacks or consolidations within the uptrend.
3. **Stage 3: Distribution Phase**
- In this stage, the stock's price begins to show signs of weakness.
- Volume might decrease as institutions and smart money start selling their positions.
- The stock may start forming a trading range or exhibit bearish chart patterns.
- Traders should consider taking profits or reducing exposure to the stock as it may enter a downtrend.
4. **Stage 4: Markdown (Bear Market) Phase**
- This is the stage where the stock enters a significant downtrend.
- Volume may remain elevated as selling pressure dominates.
- Technical indicators confirm the downtrend.
- Traders and investors should avoid buying the stock and may consider short-selling or staying on the sidelines.
Stage analysis helps traders and investors make decisions based on the current stage of a stock's price movement. The goal is to enter during the accumulation phase or early in the markup phase and exit during the distribution phase or before the markdown phase to maximize profits and minimize losses.
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try to just show the Stage number in a table, but always double check for yourself
skThis Pine Script is an indicator designed to mark and highlight specific trading sessions on a TradingView chart. Here's a description of the script's functionality:
1. *Session Selection*: The script allows you to select a session time frame using the `session_input` input. The available options for session time frames are "D" (daily), "W" (weekly), "M" (monthly), "H" (hourly), "15" (15 minutes), "5" (5 minutes), and "1" (1 minute).
2. *Session Times*: You can specify the start and end times for three different trading sessions - CBDR (Central Bank Dealer Range), Asia, and London - using the corresponding input options. These times are specified in Indian Standard Time (IST).
3. *Time Calculation*: The script calculates the start and end times for each session based on the specified hours and minutes. It uses the `timestamp` function to create time objects for these sessions.
4. *Session Highlighting*: The script creates rectangles on the chart to highlight each session:
- CBDR Session: A gray rectangle is drawn during the CBDR session time.
- Asia Session: Another gray rectangle is drawn during the Asia session time.
- London Session: A green rectangle is drawn at the top of the chart during the London session time.
5. *Transparency*: The rectangles have a transparency level of 90%, allowing you to see the price data beneath them while still marking the sessions.
6. *Overlay*: The indicator is set to overlay on the price chart, so it doesn't obstruct the price data.
7. *Customization*: You can customize the session times and appearance by adjusting the input values in the settings panel of the indicator.
Overall, this script provides a visual way to identify and highlight specific trading sessions on your TradingView chart, helping traders understand price action in different market sessions.
Double MACD Pattern 1.0This script is designed to assist traders in identifying potential trading signals and trends based on the MACD indicator. Users can adjust the input parameters to fine-tune the indicator to their trading preferences. When specific conditions are met, alerts are generated to notify the user of potential trading opportunities.
Indicator Description:
The script defines a custom indicator that calculates and plots two sets of Moving Average Convergence Divergence (MACD) lines along with their signal lines.
It allows users to configure various parameters for MACD calculation, such as fast and slow lengths for both MACD 1 and MACD 2, as well as signal lengths for both.
Plotting:
The script plots the MACD lines and signal lines for both MACD 1 and MACD 2 on the chart with different colors and line styles.
It also plots a middle line at zero for reference.
Alerts:
The script defines conditions for generating alerts based on MACD crossover and crossunder events for both MACD 1 and MACD 2.
Alerts are generated for the following scenarios:
A long signal is generated when MACD 1 crosses under its signal line while MACD 2 crosses over its signal line.
A short signal is generated when MACD 1 crosses over its signal line while MACD 2 crosses under its signal line.
An up trend signal is generated when MACD 2 crosses over MACD 1.
A down trend signal is generated when MACD 1 crosses over MACD 2.
Alerts are included in the script to notify users of these specific trading signals.
Please note that this script is meant for educational purposes and should be used cautiously in a real trading environment. It's important to have a thorough understanding of technical analysis and risk management when using such indicators in actual trading.
blackOrb ZoneBuying near the bottom and selling near the peak can be a challenging trading approach. However, it all begins with the ability to identify these essential zones. This indicator is targeting support and resistance with heightened accuracy. It utilizes features like:
I. Multi-Level Weighting for Enhanced Support and Resistance Zones
II. Vertical Zone Range Adjustment for Enhanced Price Level Identification
III. High-Time Frame for Solid Macro Validation
IV. Projection Function for Informed Trade Management
V. Automatic Level Identification for Pinpointing Potential Order Positions
VI. Customizable Pivot Analysis for Accurate Zone Identifications
Technical Methodology
I. Multi-Level Weighting for Enhanced Support and Resistance Zones
Support and resistance are more accurately represented as wider zones rather than singular lines. In practical application, relevant support or resistance levels often converge around a central mean-weighted level within a zone.
This indicator visually represents these zones by calculating values from open, high, low, and close prices, accentuating them through varying opacities. Higher opacity within an area indicates a higher likelihood of it serving as a relevant support or resistance level.
Multiple mean options within the settings menu encompass weighted average calculations that utilize different combinations of price data within the relevant pivot analysis phase. This versatility allows users to target pertinent levels within a zone. For instance, when employing hlcc4 price data, the calculation is as follows:
mean_price_hlcc4 = (high + low + close + close) / 4
II. Vertical Zone Range Adjustment for Enhanced Price Level Identification
This feature enables users to precisely adjust the vertical zone range for price references within potential support or resistance phases. For instance, decreasing the reference setting results in a more granular validation within a narrower range. This creates vertically thinner zones with increased price level precision, although it may offer a less comprehensive perspective.
III. High-Time Frame for Solid Macro Validation
The indicator enhances pivot points, potentially in conjunction with high-time frame validation, to identify significant price zones with heightened confirmation strength driven by volume. Higher time frames provide more extensive volume verification, for instance, comparing the 4-hour to the 24-hour timeframe (a multiple of six).
This feature involves cross-referencing data from higher time frames, heightening the reliability of support and resistance zones and providing valuable insights into potential trading interest levels.
Technically, the indicator applies the identical rigorous analysis to both lower and higher time frames. This approach facilitates a more comprehensive perspective and aids in the clearer identification of overarching macro support and resistance levels, even when focusing on smaller timeframes. For instance, a potential support zone identified on the daily time frame can gain higher confidence when confirmed on a weekly chart.
IV. Projection Function for Informed Trade Management
The projection function visually extends the most recent analysis of support and resistance zones forward, in accordance with the user's configured parameters.
By displaying precise price values at these visualized support and resistance levels, this indicator offers valuable assistance in decision-making, particularly when planning real-time orders or when engaged in an active trade management phase (e.g., for the purpose of adjusting stop-loss levels post-entry).
Note: This function is based on historical data. It may not account for unforeseen market events. It's important to complement this feature with ongoing analysis of real-time market data.
V. Automatic Level Identification for Pinpointing Potential Order Positions
It is empirically observed that traders frequently position orders at price levels that conform to quantized values due to cognitive biases.*
Consequently, blackOrb Zone not only facilitates the identification of pertinent levels within a weighted zone but also features an "auto" functionality designed to analyze price dynamics in the proximity of these relevant levels. The objective is to identify discrete values in close vicinity, which exhibit a higher likelihood of serving as authentic support and resistance zones.
This processing approach assists traders in precisely locating the central mean-weighted level within a given zone and identifies proximate quantized levels.
Note: This method becomes especially relevant during phases of price retesting, where market participants converge, contributing to a further refinement of levels, indicative of an asymmetric balance between supply and demand.
*Source: Prof. Mitchell, Jason. "Clustering and Psychological Barriers: The Importance of Numbers." Journal of Futures Markets, vol. 21, no. 5, 2001, pp. 395-428.
VI. Customizable Pivot Analysis for Accurate Zone Identifications
The indicator employs pivot points to pinpoint key price zones where price dynamics could encounter buying or selling pressure.
Essential components of this method involve comparing time units both to the left and right within a designated phase of support or resistance, effectively defining the search range for pivotal points.
For instance, in the analysis below, the search is for the highest price point that hasn't been surpassed within a certain resistance zone in the last 10 time units to the left and 10 time units to the right:
ta.pivothigh(10, 10)
Potential Trade Management Applications of blackOrb Zone
- Reversal Trading : Robust support zones with bullish signals can indicate opportune moments for buying or long position entries, whereas confirmed resistance zones can be identified for selling or short position entries.
- Breakout Trading : Anticipating price surges as price breach support or resistance level. A resistance breakout can signal a bullish price dynamic, while a support breakdown may suggest a bearish price dynamic.
- Range Trading : In lateral sideways markets, users can capitalize on support zones for buying and resistance zones for selling, profiting from price fluctuations.
- Take-Profit Management : For buying or long positions, resistance zones can be identified to determine suitable take-profit levels either within or near these zones - for short positions, vice versa with support zones.
- Stop-Loss Management : For buying or long positions, support zones can be identified to determine appropriate stop-loss levels beneath these zones - for short positions, vice versa with resistance zones to determine stop-loss levels above these zones.
Note on Usability
blackOrb Zone can have synergies with blackOrb Price as both indicators combined can give a bigger picture for supporting comprehensive and multifaceted data-driven trading analysis.
This tool was meticulously created to serve as an additional frame for the seamless integration of other more granular trading indicators. This indicator isn't intended for standalone trading application. Instead, it is serving as a supplementary tool for orientation within broader trading strategies.
Irrespective of market conditions, it can harmonize with a wider range of trading styles and instruments / trading pairs / indices like Stocks, Gold, FX, EURUSD, SPX500, GBPUSD, BTCUSD and Oil.
Inspiration and Publishing
Taking genesis from the inspirations amongst others provided by TradingView Pine Script Wizard Kodify, blackOrb Zone is a multi-encompassing script meticulously forged from scratch. It aspires to furnish a comprehensive approach, borne out of personal experiences and a strong dedication in supporting the trading community. We eagerly await valuable feedback to refine and further enhance this tool.
Custom Rules on ChartThis script allows you to display your custom strategy rules on your chart. It displays a label on the candle cost with the text you specify in the settings. You can have up to 10 lines of text.
The Spaces After Candles number allows you to display the label x number of candles away from the candle close. Show Rules when unchecked doesn't display the rules, when checked the rules label is displayed.
Settings:
- Show Rules: True/False
- Spaces After Candles: Number of candles after candle close to display the rules label
- Header: Rules header text
- Line 1-10: Up to 10 lines of rules text
Rule of 16 - LowerThe "Rule of 16" is a simple guideline used by traders and investors to estimate the expected annualized volatility of the S&P 500 Index (SPX) based on the level of the CBOE Volatility Index (VIX). The VIX, often referred to as the "fear gauge" or "fear index," measures the market's expectations for future volatility. It is calculated using the implied volatility of a specific set of S&P 500 options.
The Rule of 16 provides a rough approximation of the expected annualized percentage change in the S&P 500 based on the VIX level. Here's how it works:
Find the VIX level: Look up the current value of the VIX. Let's say it's currently at 20.
Apply the Rule of 16: Divide the VIX level by 16. In this example, 20 divided by 16 equals 1.25.
Result: The result of this calculation represents the expected annualized percentage change in the S&P 500. In this case, 1.25% is the estimated annualized volatility.
So, according to the Rule of 16, a VIX level of 20 suggests an expected annualized volatility of approximately 1.25% in the S&P 500.
Here's how you can use the Rule of 16:
Market Sentiment: The VIX is often used as an indicator of market sentiment. When the VIX is high (above its historical average), it suggests that investors expect higher market volatility, indicating potential uncertainty or fear in the markets. Conversely, when the VIX is low, it suggests lower expected volatility and potentially more confidence in the markets.
Risk Management: Traders and investors can use the Rule of 16 to estimate the potential risk associated with their portfolios. For example, if you have a portfolio of S&P 500 stocks and the VIX is at 20, you can use the Rule of 16 to estimate that the annualized volatility of your portfolio may be around 1.25%. This information can help you make decisions about position sizing and risk management.
Option Pricing: Options traders may use the Rule of 16 to get a quick estimate of the implied annualized volatility priced into S&P 500 options. It can help them assess whether options are relatively expensive or cheap based on the VIX level.
It's important to note that the Rule of 16 is a simplification and provides only a rough estimate of expected volatility. Market conditions and the relationship between the VIX and the S&P 500 can change over time. Therefore, it should be used as a guideline rather than a precise forecasting tool. Traders and investors should consider other factors and use additional analysis to make informed decisions.
World Class SMC [WinWorld]This indicator uses valid pullbacks in order to draw market structure with strict accordance to TradingHub strategy.
Features
Our indicator uses a number of price concepts, such as:
IDM
BoS & ChoCh ( also their sweeps )
Automatic resolving of ChoCh-IDM and IDM-BoS conflicts
Orderblocks (IDM, Extreme)
True Fair Value Gaps (FVG)
True PDH/PDL
SCOB pattern
One of the core features is the ability to choose a time point, from which the market structure will be drawn. This feature alone allows you to test your most desired hypotheses about the market movements within a few clicks, so no more guesses and "what if"s, because you get the opportunity to test everything yourself and right now.
Settings
Let's review the settings themselves:
Extended Structure: allows you to choose between drawing market structure for a whole timeline or from specific time point only;
Build OB by sweeps: allows you to only draw orderblocks from candle, which took liquidity from previous candle by sweep;
Structure colours & text: allows you to customise visuals representations of market structure elements on your chart;
Structure visuals: allows you to choose which elements of market structure you want / don't want to see on your chart;
Show trend: allows you to choose the way market structure trend will be displayed on your chart: divider or background colouring ;
Alerts for each and every event , whether it is a new BoS, ChoCh, orderblock and etc.
Usage Examples
IDM Orderblock ( OB-IDM )
Basic demonstration
When price reaches OB-IDM, you will be able to receive an alert. After that, check if the candle, that reached OB-IDM, closed inside or above ( bearish scenario )/ below ( bullish scenario ) OB-IDM's boundaries. If conditions above were met, go on LTF and look for an entry.
Extreme Orderblock ( OB-EXT )
Basic demonstration
Similar to OB-IDM situation: When price reaches OB-EXT, you will be able to receive an alert. After that, check if the candle, that reached OB-EXT, closed inside or above ( bearish scenario )/ below ( bullish scenario ) OB-EXT's boundaries. If conditions above were met, go on LTF and look for an entry.
Sweep PDH/PDL
Basic demonstration
* PDH — Previous Day High
* PDL — Previous Day Low
When you received PDH sweep alert and current trend is bearish, go on LTF to find entry point. ( bullish scenario: PDL sweep and current trend is bullish )
Sweep ChoCh
Basic demonstration
If you get alert of sweeped ChoCh, it usually means that price grabbed the liquidity from extremum points and is ready to continue going with the trend. Go on LTF to find an entry.
Median of Means Estimator Median of Means (MoM) is a measure of central tendency like mean (average) and median. However, it could be a better and robust estimator of central tendency when the data is not normal, asymmetric, have fat tails (like stock price data) and have outliers. The MoM can be used as a robust trend following tool and in other derived indicators.
Median of means (MoM) is calculated as follows, the MoM estimator shuffles the "n" data points and then splits them into k groups of m data points (n= k*m). It then computes the Arithmetic Mean of each group (k). Finally, it calculate the median over the resulting k Arithmetic Means. This technique diminishes the effect that outliers have on the final estimation by splitting the data and only considering the median of the resulting sub-estimations. This preserves the overall trend despite the data shuffle.
Below is an example to illustrate the advantages of MoM
Set A Set B Set C
3 4 4
3 4 4
3 5 5
3 5 5
4 5 5
4 5 5
5 5 5
5 5 5
6 6 8
6 6 8
7 7 10
7 7 15
8 8 40
9 9 50
10 100 100
Median 5 5 5
Mean 5.5 12.1 17.9
MoM 5.7 6.0 17.3
For all three sets the median is the same, though set A and B are the same except for one outlier in set B (100) it skews the mean but the median is resilient. However, in set C the group has several high values despite that the median is not responsive and still give 5 as the central tendency of the group, but the median of means is a value of 17.3 which is very close to the group mean 17.9. In all three cases (set A, B and C) the MoM provides a better snapshot of the central tendency of the group. Note: The MoM is dependent on the way we split the data initially and the value might slightly vary when the randomization is done sevral time and the resulting value can give the confidence interval of the MoM estimator.
Average True Range (ATR) % KTSLSome traders calculate using percentages when trading. The original ATR indicator calculates using price movements, so it differs for each stock. To avoid this, I changed the ATR indicator to show price movement as a percentage. The red line is the percentage value of the volatility of the original ATR indicator. The white line is 1.6 times the original indicator. The green line is 2.5 times the white line. These values can be adjusted. I wish you good luck.
Position calculator [krazke]This indicator will help you calculate your position. This will automatically calculate potential liquidation price and select leverage for your stop loss and risk size.
How to use it:
1. Select position direction. (long checkmark - selected if it's long)
2. Select entry. If you want to use custom entry price select checkmark and set value. (Current price is default entry)
3. Enter stop loss.
4. Enter risk.
5. Enter max leverage for current ticker.
P.S. Liquidation price is not 100% correct but it almost.
Alxuse Supertrend 4EMA Buy and Sell for tutorialAll abilities of Supertrend, moreover :
Drawing 4 EMA band & the ability to change values, change colors, turn on/off show.
Sends Signal Sell and Buy in multi timeframe.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
Supertrend with a simple EMA Filter can improve the performance of the signals during a strong trend.
For detecting the continuation of the downward and upward trend we can use 4 EMA colors.
In the upward trend , the EMA lines are in order of green, blue, red, yellow from bottom to top.
In the downward trend, the EMA lines are in order of yellow, red, blue, green from bottom to top.
How it works:
x1 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA3, MA4)
x2 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA2, MA3)
x3 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA1, MA2)
y1 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA3, MA4)
y2 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA2, MA3)
y3 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA1, MA2)
Red triangle = x1 or x2 or x3
Green triangle = y1 or y2 or y3
Long = BUY signal and followed by a Green triangle
Exit Long = SELL signal
Short = SELL signal and followed by a Red triangle
Exit Short = BUY signal
It is also possible to get help from the Stochastic RSI and MACD indicators for confirmation.
For receiving a signal with these two conditions or more conditions, i am making a video tutorial that I will release soon.
Supertrend
Definition
Supertrend is a trend-following indicator based on Average True Range (ATR). The calculation of its single line combines trend detection and volatility. It can be used to detect changes in trend direction and to position stops.
The basics
The Supertrend is a trend-following indicator. It is overlaid on the main chart and their plots indicate the current trend. A Supertrend can be used with varying periods (daily, weekly, intraday etc.) and on varying instruments.
The Supertrend has several inputs that you can adjust to match your trading strategy. Adjusting these settings allows you to make the indicator more or less sensitive to price changes.
For the Supertrend inputs, you can adjust atrLength and multiplier:
the atrLength setting is the lookback length for the ATR calculation;
multiplier is what the ATR is multiplied by to offset the bands from price.
When the price falls below the indicator curve, it turns red and indicates a downtrend. Conversely, when the price rises above the curve, the indicator turns green and indicates an uptrend. After each close above or below Supertrend, a new trend appears.
Summary
The Supertrend helps you make the right trading decisions. However, there are times when it generates false signals. Therefore, it is best to use the right combination of several indicators. Like any other indicator, Supertrend works best when used with other indicators such as MACD, Parabolic SAR, or RSI.
Exponential Moving Average
Definition
The Exponential Moving Average (EMA) is a specific type of moving average that points towards the importance of the most recent data and information from the market. The Exponential Moving Average is just like it’s name says - it’s exponential, weighting the most recent prices more than the less recent prices. The EMA can be compared and contrasted with the simple moving average.
Similar to other moving averages, the EMA is a technical indicator that produces buy and sell signals based on data that shows evidence of divergence and crossovers from general and historical averages. Additionally, the EMA tries to amplify the importance that the most recent data points play in a calculation.
It is common to use more than one EMA length at once, to provide more in-depth and focused data. For example, by choosing 10-day and 200-day moving averages, a trader is able to determine more from the results in a long-term trade, than a trader who is only analyzing one EMA length.
It’s best to use the EMA when for trending markets, as it shows uptrends and downtrends when a market is strong and weak, respectively. An experienced trader will know to look both at the line the EMA projects, as well as the rate of change that comes from each bar as it moves to the next data point. Analyzing these points and data streams correctly will help the trader determine when they should buy, sell, or switch investments from bearish to bullish or vice versa.
Short-term averages, on the other hand, is a different story when analyzing Exponential Moving Average data. It is most common for traders to quote and utilize 12- and 26-day EMAs in the short-term. This is because they are used to create specific indicators. Look into Moving Average Convergence Divergence (MACD) for more information. Similarly, the 50- and 200-day moving averages are most common for analyzing long-term trends.
Moving averages can be very useful for traders using technical analysis for profit. It is important to identify and realize, however, their shortcomings, as all moving averages tend to suffer from recurring lag. It is difficult to modify the moving average to work in your favor at times, often having the preferred time to enter or exit the market pass before the moving average even shows changes in the trend or price movement for that matter.
All of this is true, however, the EMA strives to make this easier for traders. The EMA is unique because it places more emphasis on the most recent data. Therefore, price movement and trend reversals or changes are closely monitored, allowing for the EMA to react quicker than other moving averages.
Limitations
Although using the Exponential Moving Average has a lot of advantages when analyzing market trends, it is also uncertain whether or not the use of most recent data points truly affects technical and market analysis. In addition, the EMA relies on historical data as its basis for operating and because news, events, and other information can change rapidly the indicator can misinterpret this information by weighting the current prices higher than when the event actually occurred.
Summary
The Exponential Moving Average (EMA) is a moving average and technical indicator that reflects and projects the most recent data and information from the market to a trader and relies on a base of historical data. It is one of many different types of moving averages and has an easily calculable formula.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
Initial Balance (customizable)Introducing the Initial Balance
Discover precision and clarity in your trading decisions with the Initial Balance. Crafted for traders who seek an edge, this tool pinpoints the range established during the first hour of the trading session, offering a holistic understanding of market sentiments right from the start.
Key Features:
Accurate Visualization: See the initial balance range plotted seamlessly on your chart, providing a transparent view of early market movement.
Customizable Timeframes: Whether you're an early bird catching the first market moves or prefer trading a bit later, set your own start time to fit your trading strategy.
Subtle Aesthetics: With non-intrusive lines and a customizable transparency setting, this indicator integrates smoothly with any chart, ensuring your view remains clear and undistracted.
Adaptable to Any Market: No matter your trading domain - be it stocks, forex, or commodities - this tool adjusts to offer valuable insights.
Why Use the Initial Balance Indicator?
Understanding the initial balance gives a trader the advantage of interpreting the day's potential trend. It's a reflection of early market consensus and serves as a foundation for the day's trading action. By leveraging this, you can better align your strategies with market momentum and improve your trading outcomes.
Add clarity and precision to your trading toolkit. Try the Initial Balance and elevate your trading insights.
Alxuse Stochastic RSI for tutorial All abilities of Stochastic RSI, moreover :
Drawing upper band and lower band & the ability to change values, change colors, turn on/off show.
Crossing K line and D line in multi timeframe & there are symbols (Circles) with green color (Buy) and red color (Sell) & the ability to change colors, turn on/off show.
Crossing K line and D line in multi timeframe according to the values of upper band and lower band & there are symbols (Triangles) with green color (Long) and red color (Short) & the ability to change colors, turn on/off show.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
Stochastic RSI (STOCH RSI)
Definition
The Stochastic RSI indicator (Stoch RSI) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions.
The basics
It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions.
The basics
It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions.
Overbought/Oversold
Overbought and Oversold conditions are traditionally different than the RSI. While RSI overbought and oversold conditions are traditionally set at 70 for overbought and 30 for oversold, Stoch RSI are typically .80 and .20 respectively. When using the Stoch RSI, overbought and oversold work best when trading along with the underlying trend.
During an uptrend, look for oversold conditions for points of entry.
During a downtrend, look for overbought conditions for points of entry.
Summary
When using Stoch RSI in technical analysis, a trader should be careful. By adding the Stochastic calculation to RSI, speed is greatly increased. This can generate many more signals and therefore more bad signals as well as the good ones. Stoch RSI needs to be combined with additional tools or indicators in order to be at its most effective. Using trend lines or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch RSI's accuracy. Using Stoch RSI to make trades that go against the underlying trend is a dangerous proposition.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
