The Square of NineThe Square of Nine
█ OVERVIEW
This script is made to make it easy for traders to visualize the movement of price along the square of nine table. This script Places the square of nine table right infront of you in the middle of the screen, which is why it's suggested that you would use it on the side of your main chart.
This script gives you ability to adjust number of revolutions which is the number of rings making the square of nine table up to 9 revs.
You can also change the price unit ( increments ) for each step.
You can use this indicator as a visual reference to track the price action along the square of 9 and make sense of the mechanism behind turning points. It is made to complement both :
- Gann Static Square of 9
- Gann Dynamic Square of 9
You can enable all of the following degrees and adjust their visual appearances on the chart :
360, 45, 90, 135, 180, 225, 270, 315
█ Future Plans and upgrades to this script may include :
1. Adjustable starting price.
2. Astro Integrations.
3. Visuals and matching prices.
and more! feel free to let me know what you'd like to see!
█ How to use :
1. Put the script on your chart
2. Selected your desired levels to activate and the number of desired revolutions.
give the script a few seconds and you should be set.
Educational
AMDX-XAMDGuided by ICT tutoring and also inspired by the teaching of
Daye', I create this versatile "AMDX" indicator.
A = Accumulation
M = Manipulation
D = Distribution
X = Continuation Or Reversal
This indicator shows a different way of viewing all the Timeframes by dividing them into Quarters, in this context the Trading sessions are divided into a 90m cycle, dividing each time range into Q1-Q2-Q3-Q4, in this way you have a clear vision of what the price is likely to do
True Open Times =
Opening Week - Monday at 6pm
Opening Day - 00:00
Asia -7.30pm
London -01.30
New York -07:30
PM -1.30pm
Session Times =
Q1 Asia 18:00-00:00
Q2 London 00:00-06:00
Q3 New York 06:00-12:00
Q4 PM 12:00-18:00
The user has the possibility to:
- Choose whether to display AMDX W
- Choose whether to display AMDX D
- Choose whether to display AMDX Session
- Choose to show the text in the Box
- Choose to show open levels
The indicator should be used as ICT and 'Daye' show in their concepts.
The indicator divides everything into Quarter ranges and classifies them into Q1-Q2-Q3-Q4 (as in the example above), and each Quarter has its own specific function, and can be used in this way:
If Q1 does an expansion it is likely that Q2 will do a consolidation, Q3 will do a Manipulation and Q4 will do a reversal returning to Q1
-If we are Bullish we buy under Open Session
-If we are Bearish we buy above open session
As in the example below:
If something is not clear, comment below and I will reply as soon as possible.
Capital Accumulation Plan (CAP) Simulator 2.0Description:
This indicator serves as a simulation tool for the Capital Accumulation Plan (CAP). The CAP is an investment strategy involving regular contributions of a fixed amount at consistent intervals, regardless of market fluctuations. This simulator allows you to visualize how your invested capital might grow over time, considering a fixed monthly investment in a given financial instrument.
How to Use:
Customize the monthly investment amount, the day of the month for the investment, and the simulation period. Also, input the percentage of taxation on potential dividends and the Total Expense Ratio (TER) of the financial instrument. The indicator calculates the portfolio value over time, the invested capital, and the average cost. If applicable, it also calculates the dividend amounts over time and the corresponding taxes to be paid.
The indicator displays how these metrics would change over time following the PAC strategy.
Important Notes:
Apply exclusively to the daily chart; a fix for the chosen day absence will be implemented shortly.
OKX Signal BOT - Strategy Scanner & Orderer
Hello traders,
With the OKX Signal BOT - Strategy Scanner & Orderer, you can now design your own strategy, scan over 20 cryptocurrencies, and send orders for futures trades on the OKX exchange.
How to Use:
🌐 First, log into your account on the OKX exchange and create a signal bot.
📝 While creating the signal bot, note down the webhook URL and signal token variables given to you; they'll be needed later.
🔍 Select the trading pairs that the bot will work on.
📈 Add this indicator to your chart.
⚙️ Adjust the values of the indicators you will use in your strategy.
📊 Set your entry conditions and indicator setups according to your preference.
🚀 Decide which condition will generate a LONG signal and which will generate a SHORT signal.
🔗 Then, link these conditions with either an AND or OR connector.
🛠️ This also serves as a strategy designer.
🆔 Paste the signal token value you got from OKX into the OKX Signal ID section in the indicator.
➕ Add the cryptocurrency pairs you added to the bot on OKX to this design tool as well.
💾 Save and exit.
🚨 Set an alarm and paste the webhook URL link you got from OKX.
Congratulations, you can now send signals from Tradingview to the OKX exchange without needing any other platform.
Warnings:
⚠️ Works only for futures trades.
📈 Make your leverage settings through the exchange.
🛑 It is recommended to set take profit and stop loss through the exchange.
🚫 If too many alarms are triggered, Tradingview may stop your alarms.
💡 Ensure that the coins you add in the symbol section are from the OKX exchange.
🔍 For futures trades, make sure the symbols end with ".P".
🎉 Enjoy using it!
[AlbaTherium] OptiStruct™ Premium for Smart Money Concepts An Insight into Structure Mapping and Order Block Identification with Smart Money Concepts
Introduction:
Structure Mapping & Demands and Supplies Premium serves as a fundamental pillar in the realm of Smart Money Concepts . This indicator adeptly charts the market structure based on a refined version of SMC while identifying Order Blocks. All the concepts embedded in this method are meticulously defined, offering users the ability to chart the market structure with precision and heightened confidence. With this indicator, there is no need for excessive questioning of the accuracy of your markings; it diligently strives to perform this task effectively. There are no hidden 'magic' properties underlying this indicator, ensuring that our users can independently verify each and every feature. It is this commitment to transparency that sets us apart and makes us unique in the market.
In this discussion, we delve into the intricacies of Break of Structure, Change of Character , and SMART MONEY TRAP . We also introduce the concepts of Extreme Order Blocks, Decisional Order Blocks , and Smart Money Trap Order Blocks .
Chapter 1: Understanding Structure Mapping:
Let's begin with some definitions:
- Inside bars are candles that lie within the range of a preceding candle.
- Pullbacks occur in an uptrend when the low of a preceding candle's range (excluding inside bars ) is breached, and the price continues to rise.
- Inducements (IDM) are price levels defined as the low of the latest pullback before the most recent high. They often act as liquidity points that the market revisits before continuing its move.
Break of Structure (BoS):
In an uptrend, after surpassing an IDM , the most recent high becomes a Confirmed structure high, or a Major High . If the price then closes above this Major High, a Bullish Break of Structure (Bullish BoS) is confirmed. Similarly, the lowest point between these movements becomes a Confirmed structure low or Major Low in a downtrend.
Change of Character (ChoCh):
In an uptrend, if the price falls below a Major Low, it indicates a shift in market bias from Bullish to Bearish, or a Bearish Change of Character .
Example of a bullish ChoCh:
Chapter 2: The Significance of Order Blocks:
Order Blocks (OB) play a pivotal role in Smart Money Concepts during entry points. Understanding what they represent and how to identify them is essential. For a Bullish/Bearish Order Block to be confirmed, specific conditions, including price imbalance and breaching the previous candle's high or low, must be met. We will delve into the finer details of identifying and trading Order Blocks, with an emphasis on the fact that price often reacts from Decisional Order Blocks, Extreme Order Blocks , and Smart Money Trap Order Blocks .
An OB is the initial candle range of a pullback that creates a Fair value gap.
These are zones where proactive traders enter the market, resulting in significant price changes indicated by Fair value gaps. It is believed that when the price revisits these zones in the future, it tends to bounce back. This property makes Order Blocks excellent potential entry points.
Order Blocks are categorized as follows:
- Extreme OB : The first and lowest OB between the Major Low and Major High.
- Decisional OB : The most recent OB lower than the current IDM.
- Smart Money Traps : All OBs between Extreme and Decisional OB.
- Demand above IDM / Supply below IDM
Chapter 3: Understanding SMART MONEY TRAP (SMT):
SMART MONEY TRAP is a concept that brings clarity to the distinction between Structure and Order Blocks within Smart Money Concepts and is a unique feature of this indicator. While many Smart Money Traders base their trades on Structure and Order Blocks, it's crucial to recognize that Order Blocks serve as an additional confirmation for buy or sell decisions. Blindly trading based on Order Blocks is not advisable. Instead, traders should exercise patience and await other confirmations like inducement or Liquidity sweep before executing trades on Order Blocks. We will illustrate how this concept works in practice.
In the example above, the market made a high wick up, taking out the buy-side liquidity, then made a bearish ChoCh. We place our sell order on the order block above IDM. This presents a promising trading opportunity, with a stop loss placed above the OB and a take profit set at the low of previous structure.
Conclusion:
Structure Mapping & Demands and Supplies Premium as the epitome of Smart Money Concepts, presenting traders with a tool meticulously crafted for an exceptional user experience . This indicator integrates structural mapping and Order Blocks, providing not only a wealth of knowledge but a platform tailor-made for personalization to suit your unique style and preferences. By mastering the nuances of Impulsive Moves and Corrections, and expertly identifying and trading Order Blocks while considering the SMART MONEY TRAP, traders gain a distinct advantage in the ever-evolving financial markets.
This document serves as an enriching guide to Structure Mapping & Demands and Supplies Premium, accentuating its pivotal role within the Smart Money Concepts framework. We invite users to immerse themselves in an experience that transcends the ordinary, delving into the intricacies that define successful trading. As you navigate the complexities of the market, these detailed insights become your compass, providing a rich and customizable user experience that unlocks the full potential of Smart Money Concepts. Embrace these tools judiciously, and empower your daily analysis with a wealth of information that truly holds its weight in gold.
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
CryptoSignalScanner - DeFib v2 indicatorDESCRIPTION:
The DeFib indicator combines Moving Averages data points, Fibonacci sequence calculations and other methods to help traders make better decisions when it comes to entering and exiting trades at different time intervals. By analyzing these data points, the indicator provides valuable insights into the market trends and helps traders determine optimal moments to enter or exit a trade. Moving Averages helps smooth out price fluctuations over a specified period, providing a clearer picture of the overall market direction. The DeFib indicator uses a mix of these averages and Fibonacci methods to increase its chances of finding good trade opportunities. Whether analyzing short-term trends or longer-term patterns, this indicator assists traders in identifying favorable entry and exit points, thereby supporting more informed and strategic trading decisions.
By using Moving Averages data points based on the Fibonacci Sequence (+ some extra calculations we don't wish to share), we incorporate a unique perspective into the analysis. It helps to identify key levels of interest, potential trend reversals, and areas where price action may align with Fibonacci retracement levels. The Fibonacci Sequence is a mathematical sequence in which each number is the sum of the two preceding numbers (e.g., 0, 1, 1, 2, 3, 5, 8, 13, 21, and so on).
As a result of this information some L1, L2, S1 and S2 labels are printed on the chart. The labels are printed when a candle has been closed. Those labels are an indication when to enter or exit a trade. How to use those labels is described in the section "HOW TO USE" below.
This indicator is versatile and can be used on any timeframe, offering a wide range of features to support traders in their decision-making process. Here are some key aspects of this indicator:
User-Friendly:
Traders can easily customize all the settings according to their preferences, ensuring a personalized trading experience.
Long Signals:
The indicator provides both normal and strong long signals, which assist traders in identifying potential reversals in the market. These signals act as confirmation for traders to consider entering a long position.
Short Signals:
Similarly, the indicator offers normal and strong short signals, helping traders identify and confirm potential market reversals for short positions.
Fibonacci Sequence Calculation:
The calculation of the Long and Short labels is based on the Fibonacci Sequence, a mathematical pattern widely used in technical analysis. This adds a reliable and systematic approach to the indicator's signal generation.
Stop Loss:
When initiating a trade, it is our standard practice to implement a stop loss order based on the stop loss signal derived from the current or preceding candle. These stop loss signals are generated using the Average True Range (ATR) indicator.
Overlays:
The indicator includes overlays that visually represent market trends. These overlays identifying support and resistance levels, and providing valuable insights into the overall market behaviour.
Trend Table Box:
Traders can access a trend table box that displays the prevailing trend across different timeframes. This feature allows traders to assess the trend's strength and consistency. Additionally, users have the flexibility to adjust the timeframes based on their trading preferences.
Long/Short Alerts:
The indicator offers the functionality to add alerts for both long and short positions. Traders can set up notifications to be alerted when specific conditions are met, ensuring they stay informed even when they're not actively monitoring the charts.
Overall, this indicator provides traders with a comprehensive set of tools and features to enhance their trading decisions. Its user-friendly nature, combined with the inclusion of various signals, overlays, trend analysis, and alerts, enables traders to make informed choices and adapt to different market conditions effectively.
HOW TO USE:
This indicator incorporates specific signals that provide valuable insights into potential trend reversals in the market. Here's how each signal type is interpreted:
L1 (Long) Signal:
When an L1 signal appears, it suggests a potential uptrend reversal. Traders should pay attention to this signal as it indicates a possible shift from a downtrend to an uptrend. It serves as an early indication of a potential upward movement in prices. This is the fist point where we can take a long position. If we want to invest $100 into this trade we invest a maximum of $50 at this point. Don't forget to put a stop loss as described below in the "STOP LOSS" section.
L2 (Long) Signal:
An L2 signal acts as confirmation of the potential uptrend reversal identified by the L1 signal. When an L2 signal emerges, it strengthens the case for an upcoming uptrend. Traders may consider this signal as a stronger indication to support their decision to enter a long position. This is the point where we can invest another $50 if we already invested on the L1 signal. If we did not invested yet and we still see a clear reversal we enter the trade here with $100. Don't forget to put a stop loss as described below in the "STOP LOSS" section.
S1 (Short) Signal:
When an S1 signal is generated, it suggests a potential downtrend reversal. Traders should take note of this signal as it indicates a possible shift from an uptrend to a downtrend. It serves as an early indication of a potential downward movement in prices. This is the fist point where we can take a short position. If we want to invest $100 into this trade we invest a maximum of $50 at this point. Don't forget to put a stop loss as described below in the "STOP LOSS" section.
S2 (Short) Signal:
An S2 signal confirms the potential downtrend reversal identified by the S1 signal. When an S2 signal emerges, it reinforces the likelihood of an upcoming downtrend. Traders may consider this signal as a stronger indication to support their decision to enter a short position. This is the point where we can invest another $50 if we already invested on the S1 signal. If we did not invested yet and we still see a clear reversal we enter the trade here with $100. Don't forget to put a stop loss as described below in the "STOP LOSS" section.
These signals provide traders with a systematic framework to identify and evaluate potential reversals in market trends. By combining the information provided by both the L1 and L2 signals (for uptrends) or the S1 and S2 signals (for downtrends), traders can gain more confidence in their assessments of trend reversals. This indicator offers traders a valuable tool to capitalize on these reversal opportunities and make more informed trading decisions.
It is important to exercise caution and avoid blindly following the signals generated by the indicator. Instead, it is recommended to seek additional confirmations from other technical indicators such as the RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), or any other indicators that you are familiar with and trust.
While the signals provided by the indicator can be a useful starting point, relying solely on them may not always guarantee accurate predictions. By considering other technical indicators, traders can gain a more comprehensive view of the market conditions and validate the signals received from the indicator.
The RSI is a popular momentum oscillator that measures the speed and change of price movements. It helps traders identify overbought and oversold conditions, giving insights into potential trend reversals. The MACD, on the other hand, combines moving averages to provide signals for trend identification, as well as momentum and divergence analysis.
By utilizing these additional indicators or any others that you are familiar with, you can confirm the signals generated by the indicator under consideration. This approach enhances the reliability of your trading decisions by adding another layer of analysis and reducing the potential for false signals.
Each trader may have their preferred set of technical indicators based on their trading style and experience. It is important to select indicators that align with your trading strategy and complement the signals received from the indicator in question. This way, you can make more informed and well-rounded trading decisions, increasing the probability of successful trades and minimizing potential risks.
Stop Loss:
When initiating a trade, it is our standard practice to implement a stop loss order based on the stop loss signal derived from the current or preceding candle. These stop loss signals are generated using the Average True Range (ATR) indicator.
By employing a stop loss order, we aim to limit potential losses in case the trade moves against our anticipated direction. The stop loss signal, determined from the current or previous candle, provides a specific level at which the stop loss order is placed.
The Average True Range indicator is utilized to gauge the volatility of the market and determine an appropriate stop loss level. It takes into account the price range of the asset over a defined period, considering both high and low price points. By using the ATR, we can identify an optimal stop loss level that accounts for the asset's recent price fluctuations.
Implementing a stop loss based on the ATR-derived signal adds a layer of risk management to our trading strategy. It helps mitigate potential losses by automatically triggering the stop loss order if the price reaches or exceeds the predetermined level. This approach allows us to protect our capital and minimize the impact of adverse price movements.
It is important to note that the ATR-based stop loss signals should be used in conjunction with other analysis techniques and indicators. They serve as a dynamic reference point that considers market volatility, ensuring the stop loss level is adjusted accordingly.
By incorporating stop loss orders based on the stop loss signals derived from the current or previous candle using the ATR indicator, we aim to safeguard our trades and manage risk effectively. However, it is important to continually monitor and adjust the stop loss level as market conditions evolve, adhering to our risk management strategy throughout the duration of the trade.
Candlestick Sequence:
The Candlestick Sequence is a calculation used to identify potential trend reversal points in the financial markets. It consists of two main components, the Candlestick Sequence and the Candlestick Reversal. The Candlestick Sequence and Candlestick Reversal offer a structured way to identify potential reversals in the market.
WARNING:
• It is not advisable to engage in Leverage Trading unless you possess chart reading skills.
• It is not advisable to engage in Leverage Trading unless you are capable of interpreting technical indicators such as RSI, Moving Average, MACD, and others.
• It is crucial not to blindly follow trading signals without conducting your own analysis (DYOR - Do Your Own Research).
• Avoid succumbing to FOMO (Fear Of Missing Out) and impulsively entering trades. If you miss an entry point, it is important to let it go and patiently wait for the next potential entry point.
Leverage trading involves trading with borrowed funds, which amplifies both potential profits and losses. To participate in this form of trading, it is imperative to possess a certain level of expertise and knowledge. One key requirement is the ability to read and analyze charts effectively. Chart reading involves understanding various chart patterns, price movements, and support and resistance levels, among other factors. Without this skill, it can be challenging to make informed decisions and manage risk appropriately.
Additionally, leverage trading relies on technical indicators to identify potential trading opportunities and gauge market conditions. It is essential to have the ability to interpret indicators such as RSI, Moving Average, MACD, and others, as they provide valuable insights into market trends, momentum, and potential reversals. Ignoring or misunderstanding these indicators can lead to incorrect trading decisions and increased risk exposure.
Moreover, it is crucial not to blindly rely solely on trading signals, including those generated by indicators or other sources. While signals can be helpful, they should always be complemented by conducting one's own analysis. This entails conducting thorough research, considering multiple factors, and validating the signals with additional indicators or technical analysis techniques. This approach helps in making more informed and well-rounded trading decisions.
Finally, FOMO can be a detrimental emotion that drives impulsive and irrational trading behavior. It is important to avoid entering trades solely because of the fear of missing out on potential profits. If an entry point is missed, it is recommended to exercise patience and discipline by waiting for the next suitable opportunity. This approach helps to avoid unnecessary risks and maintain a more strategic and calculated trading approach.
By adhering to these warnings and taking the necessary precautions, traders can approach leverage trading more responsibly and increase their chances of success while mitigating potential losses.
REMARKS:
• It is important to emphasize that any information or content you encounter here is not intended as financial advice. We want to make it clear that we are not authorized or qualified to provide personalized investment advice. Our content, including ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, should be viewed strictly as informational, entertaining, or educational material.
• We emphasize that you should not construe the information provided here as personal investment advice or as a recommendation to take specific investment actions. It is crucial to conduct your own research, consider your individual financial circumstances, and consult with a qualified financial professional before making any investment decisions.
• While we aim to provide accurate and reliable information, we cannot guarantee the absence of errors or inaccuracies. Therefore, it is recommended to independently verify any information provided and exercise your own judgment when using it for decision-making purposes.
• Please be aware that any actions you take based on the information found here are done so at your own risk. We disclaim any liability for the consequences of your actions or decisions stemming from the information presented.
• Our intention is to provide helpful information that can contribute to your overall understanding and assist you in making better-informed decisions. However, it is essential to exercise caution, seek professional advice, and take responsibility for your investment choices.
Cheers & Good luck.
KNN Regression [SS]Another indicator release, I know.
But note, this isn't intended to be a stand-alone indicator, this is just a functional addition for those who program Machine Learning algorithms in Pinescript! There isn't enough content here to merit creating a library for (it's only 1 function), but it's a really useful function for those who like machine learning and Nearest Known Neighbour Algos (or KNN).
About the indicator:
This indicator creates a function to perform KNN-based regression.
In contrast to traditional linear regression, KNN-based regression has the following advantages over linear regression:
Advantages of KNN Regression vs. Linear Regression:
🎯 Non-linearity: KNN is a non-parametric method, meaning it makes no assumptions about the underlying data distribution. This allows it to capture non-linear relationships between features and the target variable.
🎯Simple Implementation: KNN is conceptually simple and easy to understand. It doesn't require the estimation of parameters, making it straightforward to implement.
🎯Robust to Outliers: KNN is less sensitive to outliers compared to linear regression. Outliers can have a significant impact on linear regression models, but KNN tends to be less affected.
Disadvantages of KNN Regression vs. Linear Regression:
🎯 Resource Intensive for Computation: Because KNN operates on identifying the nearest neighbors in a dataset, each new instance has to be searched for and identified within the dataset, vs. linear regression which can create a coefficient-based model and draw from the coefficient for each new data point.
🎯Curse of Dimensionality: KNN performance can degrade with an increasing number of features, leading to a "curse of dimensionality." This is because, in high-dimensional spaces, the concept of proximity becomes less meaningful.
🎯Sensitive to Noise: KNN can be sensitive to noisy data, as it relies on the local neighborhood for predictions. Noisy or irrelevant features may affect its performance.
Which is better?
I am very biased, coming from a statistics background. I will always love linear regression and will always prefer it over KNN. But depending on what you want to accomplish, KNN makes sense. If you are using highly skewed data or data that you cannot identify linearity in, KNN is probably preferable.
However, if you require precise estimations of ranges and outliers, such as creating co-integration models, I would advise sticking with linear regression. However, out of curiosity, I exported the function into a separate dummy indicator and pulled in data from QQQ to predict SPY close, and the results are actually very admirable:
And plotted with showing the standard error variance:
Pretty impressive, I must say I was a little shocked, it's really giving linear regression a run for its money. In school I was taught LinReg is the gold standard for modeling, nothing else compares. So as with most things in trading, this is challenging some biases of mine ;).
Functionality of the function
I have permitted 3 types of KNN regression. Traditional KNN regression, as I understand it, revolves around clustering. ( Clustering refers to identifying a cluster, normally 3, of identical cases and averaging out the Dependent variable in each of those cases) . Clustering is great, but when you are working with a finite dataset, identifying exact matches for 2 or 3 clusters can be challenging when you are only looking back at 500 candles or 1000 candles, etc.
So to accommodate this, I have added a functionality to clustering called "Tolerance". And it allows you to set a tolerance level for your Euclidean distance parameters. As a default, I have tested this with a default of 0.5 and it has worked great and no need to change even when working with large numbers such as NQ and ES1!.
However, I have added 2 additional regression types that can be done with KNN.
#1 One is a regression by the last IDENTICAL instance, which will find the most recent instance of a similar Independent variable and pull the Dependent variable from that instance. Or
#2 Average from all IDENTICAL instances.
Using the function
The code has the instructions for integrating the function into your own code, the parameters, and such, so I won't exhaust you with the boring details about that here.
But essentially, it exports 3, float variables, the Result, the Correlation, and the simplified R2.
As this is KNN regression, there are no coefficients, slopes, or intercepts and you do not need to test for linearity before applying it.
Also, the output can be a bit choppy, so I tend to like to throw in a bit of smoothing using the ta.sma function at a deault of 14.
For example, here is SPY from QQQ smoothed as a 14 SMA:
And it is unsmoothed:
It seems relatively similar but it does make a bit of an aesthetic difference. And if you are doing it over 14, there is no data loss and it is still quite reactive to changes in data.
And that's it! Hopefully you enjoy and find some interesting uses for this function in your own scripts :-).
Safe trades everyone!
OHLC BreakThis indicator shows the Support and Resistance zones in a different way with Boxes that extend to the right and show the candle that has broken a minimum number of High or Low
The user has the possibility to:
- Choose to show High or Low levels not yet broken
- Shows candles that have broken a total of high or Low that you pre-set
- Choose to show a Box on candles that have broken the minimum of the preset levels
- Choose to show the total of broken levels with a Label on the candle
The indicator should be used as OHLC shows in its concepts, it can also be implemented to your Support and Resistance strategies, it can be implemented to Sessions strategies as in the Example
Below I show various examples on how to set the indicator for show High or Low levels not yet broken
If something is not clear, comment below and I will reply as soon as possible.
[KVA]K Stochastic IndicatorOriginal Stochastic Oscillator Formula:
%K=(C−Lowest Low)/(Highest High−Lowest Low)×100
Lowest Low refers to the lowest low of the past n periods.
Highest High refers to the highest high of the past n periods.
K Stochastic Indicator Formula:
%K=(Source−Lowest Source)/(Highest Source−Lowest Source)×100
Lowest Source refers to the lowest value of the chosen source over the past length periods.
Highest Source refers to the highest value of the chosen source over the past length periods.
Key Difference :
The original formula calculates %K using the absolute highest high and lowest low of the price over the past n periods.
The K Stochastic formula calculates %K using the highest and lowest values of a chosen source (which could be the close, open, high, or low) over the specified length periods.
So, if _src is set to something other than the high for the Highest Source or something other than the low for the Lowest Source, the K Stochastic will yield different results compared to the original formula which strictly uses the highest high and the lowest low of the price.
Impact on Traders :
Flexibility in Price Source :
By allowing the source (_src) to be customizable, traders can apply the Stochastic calculation to different price points (e.g., open, high, low, close, or even an average of these). This could provide a different perspective on market momentum and potentially offer signals that are more aligned with a trader's specific strategy.
Sensitivity to Price Action :
Changing the source from high/low to potentially less extreme values (like close or open) could result in a less volatile oscillator, smoothing out some of the extreme peaks and troughs and possibly offering a more filtered view of market conditions.
Customization of Periods :
The ability to adjust the length period offers traders the opportunity to fine-tune the sensitivity of the indicator to match their trading horizon. Shorter periods may provide earlier signals, while longer periods could filter out market noise.
Possibility of Applying the Indicator on Other Indicators :
Layered Technical Analysis :
The K Stochastic can be applied to other indicators, not just price. For example, it could be applied to a moving average to analyze its momentum or to indicators like RSI or MACD, offering a meta-analysis that studies the oscillator's behavior of other technical tools.
Creation of Composite Indicator s:
By applying the K Stochastic logic to other indicators, traders could create composite indicators that blend the characteristics of multiple indicators, potentially leading to unique signals that could offer an edge in certain market conditions.
Enhanced Signal Interpretation :
When applied to other indicators, the K Stochastic can help in identifying overbought or oversold conditions within those indicators, offering a different dimension to the interpretation of their output.
Overall Implications :
The KStochastic Indicator's modifications could lead to a more tailored application, giving traders the ability to adapt the tool to their specific trading style and analysis preferences.
By being applicable to other indicators, it broadens the scope of stochastic analysis beyond price action, potentially offering innovative ways to interpret data and make trading decisions.
The changes might also influence the trading signals, either by smoothing the oscillator's output to reduce noise or by altering the sensitivity to generate more or fewer signal
Including the additional %F line, which is unique to the K Stochastic Indicator, further expands the potential impacts and applications for traders:
Impact on Traders with the %F Line:
Triple Smoothing :
The %F line introduces a third level of smoothing, which could help in identifying longer-term trends and filtering out short-term fluctuations. This could be particularly useful for traders looking to avoid whipsaws and focus on more sustained movements.
Potential for Enhanced Confirmation :
The %F line might be used as a confirmation signal. For instance, if all three lines (%K, %D, and %F) are in agreement, a trader might consider this as a stronger signal to buy or sell, as opposed to when only the traditional two lines (%K and %D) are used.
Risk Management:
The additional line could be utilized for more sophisticated risk management strategies, where a trader might decide to scale in or out of positions based on the convergence or divergence of these lines.
Possibility of Applying the Indicator on Other Indicators with the %F Line:
Depth of Analysis :
When applied to other indicators, the %F line can provide an even deeper layer of analysis, perhaps identifying macro trends within the indicator it is applied to, which could go unnoticed with just the traditional two-line approach.
Refined Signal Strength Assessment :
The strength of signals from other indicators could be assessed by the position and direction of the %F line, providing an additional filter to evaluate the robustness of buy or sell signals.
Overall Implications with the %F Line :
The inclusion of the %F line in the K Stochastic Indicator enhances its utility as a tool for trend analysis and signal confirmation. It allows traders to potentially identify and act on more reliable trading opportunities.
This feature can enrich the trader's toolkit by providing a nuanced view of momentum and trend strength, which can be particularly valuable in volatile or choppy markets.
For those applying the K Stochastic to other indicators, the %F line could be integral in creating a multi-tiered analysis strategy, potentially leading to more sophisticated interpretations and decisions.
The presence of the %F line adds a dimension of depth to the analysis possible with the K Stochastic Indicator, making it a versatile tool that could be tailored to a variety of trading styles and objectives. However, as with any indicator, the additional complexity requires careful study and back-testing to ensure its signals are understood and actionable within the context of a comprehensive trading plan.
Oscillator overlayHi all!
This script is useful in the way that it let's you see an oscillator value on the chart, as an overlay. As of now you can choose from displaying Money Flow Index (MFI) (www.tradingview.com), Relative Strength Index (RSI) (www.tradingview.com) or Stochastic (www.tradingview.com). The size of the area, where the oscillator value is shown, is determined by a factor of the Average True Range (ATR), that defaults to 2 (the 'ATR factor' setting). Oscillator pivots (of user defined length in the 'Length' setting) and oscillator pivot values)ä can be shown and the background can change when the oscillator value crosses oversold/overbought. The value from the hidden plot "Value (for alerts)" can be used for setting alerts on oscillator values, e.g. crossings. The length and overbought/oversold values can be set by the user as a setting.
Best of trading luck!
MONEY ZONEA volume profile is an advanced charting tool that displays the traded volume at different price levels over a specific period. It helps you visualize where the majority of trading activity has occurred.
This indicator is a Market Profiling tool used to analyse the Point of Control (POC) and Value Area (VAH/VAL) on the daily, weekly and monthly timeframes. It also optionally displays historical Value Areas to help find confluence with past data.
The Point of Control describes the price level where the most volume was traded. A Naked Point of Control (also called a Virgin Point of Control) is a previous POC that has not been traded.
The Value Area is a range of prices where the majority of trading volume took place on the prior trading day. In specific, this area is the range where 70% of the prior day’s volume happened. The value area is approximately one standard deviation above and below the average highest volume price. With this knowledge, there are specific probabilities of market behavior we can understand to digest the value area. The value area gives us an idea of where the smart money is playing ball and where the institutions are guiding the market. From this data, we can derive intra-day strategies that capitalize on market behavior.
🔹 Point of Control (PoC)
Point of Control (POC) – The price level for the time period with the highest traded volume
🔹 Value Area (VA)
Value Area (VA) – The range of price levels in which the specified percentage of all volume was traded during the time period.
Yield Spread HistogramMeasures the difference between 10Y treasury yield and 2Y treasury yield.
Highlights via histogram in green or red if difference is positive or negative.
j trader ModelAn indicator designed to trade indices using the jtrader model and ICT concepts.
jtrader Model:
Below are the key points to trade this model:
Power of 3 is the key element of this model.
Accumulation during pre NY open.NY Open represents 9:30am opening of NY Stock Exchange.
Manipulation(JUDA) immediately after NY open. Juda is a manipulated move by the indices after the session open.
Distribution as a reversal with BOS ,Heatmap preferably during Macros. Distribution is market phase where it moves towards its original expansion during macros. Macros are 20 minute time windows where indices give moves with strong force. Heatmap represent kis point of interests for the trade.
Indicator Features:
Creates a complete window of trading with key elements needed to trade The jtrader Model.
Identify and marks key points of interests (POIs).
Identify and highlights key swing points of Sessions, Days, Weeks, True open etc.
Highlights the NY Open.
Highlights the Macros.
Indicator Settings:
Enable/Disable any POI marking.
Adjust session time ranges.
Adjust enabling of model poi marking time window.
Choose color of choice for highlighting the POI.
Enable/Disable Macros.
This indicator will gradually updated with new features to trade the jtrader model. Your feedback will help us improve and enhance this indicator.
Scale Ability [TrendX_]Scale Ability indicator can indicate a company’s potential for future growth and profitability.
A scalable company is one that can increase its revenue and market share without increasing its costs proportionally, which can benefit from economies of scale. Therefore, the high-scale ability can generate more value for its shareholders - which is important for investment decisions.
Scale Ability indicator consists of 3 financial components:
Cash Flow from Investing Activities to Total Assets Ratio (CFIA / TA)
Net Income to Total Debt Ratio (NI / TD)
Earnings Before Interest, Taxes, Depreciation and Amortization to Equity Ratio (EBITDA / E)
These measures can help investors assess how efficiently and effectively a company uses its resources to generate revenue and profit.
Note:
This can be customizable between Fiscal Quarter (FQ) and Fiscal Year (Fy)
This is suitable for companies in fast-growing industries.
FUNCTION
CFIA / TA Ratio
A company with a net income to total debt of 9% could indicate that it is investing in its assets to keep up with the market demand and the technological changes which can create competitive advantages.
NI/ TD Ratio
A company with a net income to total debt of 9% could show that it is profitable and has a strong financial position, which can easily cover its debt payments.
EBITDA / E Ratio
A company with a net income to total debt of 14% illustrates that it is generating a high return on its equity.
USAGE
Scale index division:
> 43 : Excellent
32 - 43 : Good
12 - 31 : Above Average
= 11 : Average
8 - 10 : Below Average
5 - 7 : Poor
< 4 : Very Poor
DISCLAIMER
This is only a rough estimate, and the actual ratio may differ significantly depending on the stage of the business cycle and the company’s strategy, and the comparison of each company and its peers.
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Trend Shift ProThe indicator is designed to identify shifts or changes in trends as blocks, the indicator's focus on analyzing the Median of Means, Interquartile Range, and Practical Significance for potential trend changes in the market using non parametric Cohen's D. The script is designed to operate on blocks of 21 bars. The key parts of the script related to this are the conditions inside the "if" statements: The bar_index % 21 == 0 condition checks if the current bar index is divisible by 21, meaning it's the beginning of a new block of 21 bars. This condition is used to reset and calculate new values at the start of each block.
Therefore, signals or calculations related to the median of means (MoM), interquartile range (IQR), and Cohen's D are updated and calculated once every 21 bars. What this means is the frequency of signals is shown once every 21 bars.
Price Movements of Blocks:
Block-Based Analysis: This approach divides the price data into blocks or segments, often a fixed number of bars or candles. Each block represents a specific interval of time or price action. It involves No Smoothing: Unlike moving averages, block-based analysis does not apply any smoothing to the price data within each block. It directly examines the raw prices within each block.
Let's break down the key concepts and how they are used for trading:
Median of Means (MoM):
The script calculates the median of the means of seven subgroups, each consisting of three bars in shuffled order.
Each subgroup's mean is calculated based on the typical price (hlc3) of the bars within that subgroup.
The median is then computed from these seven means, representing a central tendency measure.
Note: The Median of Means provides a robust measure of central tendency, especially in situations where the dataset may have outliers or exhibit non-normal distribution characteristics. By calculating means within smaller subgroups, the method is less sensitive to extreme values that might unduly influence the overall average. This can make the Median of Means more robust than a simple mean or median when dealing with datasets that have heterogeneity or skewed distributions.
Interquartile Range (IQR):
The script calculates the IQR for each block of 21 bars.
The IQR is a measure of statistical dispersion, representing the range between the first quartile (Q1) and the third quartile (Q3) of the data.
Q1 and Q3 are calculated from the sorted array of closing prices of the 21 bars.
Non-Parametric Cohen's D Calculation:
Cohen's D is a measure of effect size, indicating the standardized difference between two means.
In this script, a non-parametric version of Cohen's D is calculated, comparing the MoM values of the current block with the MoM values of the previous block.
The calculation involves the MoM difference divided by the square root of the average squared IQR values.
Practical Significance Threshold:
The user can set a threshold for practical significance using the Threshold input.
The script determines practical significance by comparing the calculated Cohen's D with this threshold.
Plotting:
The script plots the MoM values using both straight lines and circles, with the color of the circles indicating the direction of the MoM change (green for upward, red for downward, and blue for no change).
Triangular shapes are plotted when the absolute value of Cohen's D is less than the practical significance threshold.
Overall Purpose for Trading:
The indicator is designed to help traders identify potential turning points or shifts in market sentiment. and use it as levels which needs to be crossed to have a new trend.
Changes in MoM, especially when accompanied by practical significance as determined by Cohen's D, may signal the start of a new trend or a significant move in the market.
Traders using this indicator would typically look for instances where the MoM values and associated practical significance suggest a high probability of a trend change, providing them with potential entry or exit signals. It's important for users to backtest and validate the indicator's effectiveness in different market conditions before relying on it for trading decisions.
Oops!Oops! is based on an overemotional response, then a quick reversal of the concomitant overreaction of price. The overreaction we are looking for to give us a buy signal is an opening that is below the previous day's low. The entry comes when, following the lower open, price then rallies back to the previous day's low (selling pressures have been abated and a market rally should follow). A sell signal is just the opposite. We will be looking for an open greater than the prior day's high. Our entry then comes from price falling back to the prior high, giving us a strong short-term suggestion of lower prices to come.
Stx Monthly Trades ProfitMonthly profit displays profits in a grid and allows you to know the gain related to the investment during each month.
The profit could be computed in terms of gain/trade_cost or as percentage of equity update.
Settings:
- Profit: Monthly profit percentage or percentage of equity
- Table position
This strategy is intended only as a container for the code and for testing the script of the profit table.
Setting of strategy allows to select the test case for this snippet (percentage grid).
Money management: not relevant as strategy is a test case.
This script stand out as take in account the gain of each trade in relation to the capital invested in each trade. For example consider the following scenario:
Capital of 1000$ and we invest a fixed amount of 1000$ (I know is too risky but is a good example), we gain 10% every month.
After 10 months our capital is of 2000$ and our strategy is perfect as we have the same performance every month.
Instead, evaluating the percentage of equity we have 10% the first month, 9.9% the second (1200$/1100$ - 1) and 5.26% the tenth month. So seems that strategy degrade with times but this is not true.
For this reason, to evaluate my strategy I prefer to see the montly return of investment.
WARNING: The strategy provided with this script is only a test case and allows to see the behavior with different "trades" management, for these reason commision are set to zero.
At the moment only the provided test cases are handled:
test 1 - single entry and single exit;
test 2 - single entry and multiple exits;
test 3 - single entry and switch position;
TickerWhen viewing an asset's chart, the ticker symbol and company description are automatically displayed in the top left corner, providing quick identification of the asset being analyzed.
Leading Industry [TrendX__]Leading Industry indicator functions like an Industry-meter, a tool that measures the strength of different industries in a country or region.
It consists of the fields of Technology, Finance, Industrial, Energy, Real-estate, and Construction.
USAGE
The Industry-meter indicates which industry is the strongest by using an arrow that points to the field with the highest score.
The default fields are set for Vietnam’s industry, but the user can customize them according to their preferences and needs.
The Industry-meter is a useful way to visualize the economic landscape and identify the opportunities and challenges in various sectors.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Sticky Notes v1.0 [NL]This Sticky notes.
It can be used for simple reminders, checklists, notes, and strategy descriptions.
You can enter up to 10 sentences.
Notes are highly customizable:
Chose Note Position
Chose Note Color
Chose Font Size
Chose Font Family
Chose Font Color
Screenshots how does it look.
Light theme:
Dark theme:
[ETNX] BTC CME OIOVERVIEW
This indicator displays the Open Interest based on CME Bitcoin Futures & Options. The data is provided from the CFTC Commitments of Traders Reports. These reports are given weekly. Therefore, this indicator works better on W timeframes.
INPUTS
The Open Interest can be displayed in three ways:
Contracts - How many contracts are opened on CME
BTC - How many BTC the contracts worth
Billions USD - How much is worth in USD based on the CME BTC Price
Goldmine Wealth Builder - DKK/SKKGoldmine Wealth Builder
Version 1.0
Introduction to Long-Term Investment Strategies: DKK, SKK1 and SKK2
In the dynamic realm of long-term investing, the DKK, SKK1, and SKK2 strategies stand as valuable pillars. These strategies, meticulously designed to assist investors in building robust portfolios, combine the power of Super Trend, RSI (Relative Strength Index), Exponential Moving Averages (EMAs), and their crossovers. By providing clear alerts and buy signals on a daily time frame, they equip users with the tools needed to make well-informed investment decisions and navigate the complexities of the financial markets. These strategies offer a versatile and structured approach to both conservative and aggressive investment, catering to the diverse preferences and objectives of investors.
Each part of this strategy provides a unique perspective and approach to the accumulation of assets, making it a versatile and comprehensive method for investors seeking to optimize their portfolio performance. By diligently applying this multi-faceted approach, investors can make informed decisions and effectively capitalize on potential market opportunities.
DKK Strategy for ETFs and Funds:
The DKK system is a strategy designed for accumulating ETFs and Funds as long-term investments in your portfolio. It simplifies the process of identifying trend reversals and opportune moments to invest in listed ETFs and Funds, particularly during bull markets. Here's a detailed explanation of the DKK system:
Objective: The primary aim of the DKK system is to build a long-term investment portfolio by focusing on ETFs and Funds. It facilitates the identification of stocks that are in the process of reversing their trends, allowing investors to benefit from upward price movements in these financial instruments.
Stock Selection Criteria: The DKK system employs specific criteria for selecting ETFs and Funds:
• 200EMA (Exponential Moving Average): The system monitors whether the prices of ETFs and Funds are consistently below the 200-day Exponential Moving Average. This is considered an indicator of weakness, especially on a daily time frame.
• RSI (Relative Strength Index): The system looks for an RSI value of less than 40. An RSI below 40 is often seen as an indication of a weak or oversold condition in a financial instrument.
Alert Signal: Once the DKK system identifies ETFs and Funds meeting these criteria, it provides an alert signal:
• Red Upside Triangle Sign: This signal is automatically generated on the daily chart of ETFs and Funds. It serves as a clear indicator to investors that it's an opportune time to accumulate these financial instruments for long-term investment.
It's important to note that the DKK system is specifically designed for ETFs and Funds, so it should be applied to these types of investments. Additionally, it's recommended to track index ETFs and specific types of funds, such as REITs (Real Estate Investment Trusts) and INVITs (Infrastructure Investment Trusts), in line with the DKK system's approach. This strategy simplifies the process of identifying investment opportunities within this asset class, particularly during periods of market weakness.
SKK1 Strategy for Conservative Stock Investment:
The SKK 1 system is a stock investment strategy tailored for conservative investors seeking long-term portfolio growth with a focus on stability and prudent decision-making. This strategy is meticulously designed to identify pivotal market trends and stock price movements, allowing investors to make informed choices and capitalize on upward market trends while minimizing risk. Here's a comprehensive overview of the SKK 1 system, emphasizing its suitability for conservative investors:
Objective: The primary objective of the SKK 1 system is to accumulate stocks as long-term investments in your portfolio while prioritizing capital preservation. It offers a disciplined approach to pinpointing potential entry points for stocks, particularly during market corrections and trend reversals, thereby enabling you to actively participate in bullish market phases while adopting a conservative risk management stance.
Stock Selection Criteria: The SKK 1 system employs a stringent set of criteria to select stocks for investment:
• Correction Mode: It identifies stocks that have undergone a correction, signifying a decline in stock prices from their recent highs. This conservative approach emphasizes the importance of seeking stocks with a history of stability.
• 200EMA (Exponential Moving Average): The system diligently analyses daily stock price movements, specifically looking for stocks that have fallen to or below the 200-day Exponential Moving Average. This indicator suggests potential overselling and aligns with a conservative strategy of buying low.
Trend Reversal Confirmation: The SKK 1 system doesn't merely pinpoint stocks in correction mode; it takes an extra step to confirm a trend reversal. It employs the following indicators:
• Short-term Downtrends Reversal: This aspect focuses on identifying the reversal of short-term downtrends in stock prices, observed through the transition of the super trend indicator from the red zone to the green zone. This cautious approach ensures that the trend is genuinely shifting.
• Super Trend Zones: These zones are crucial for assessing whether a stock is in a bullish or bearish trend. The system consistently monitors these zones to confirm a potential trend reversal.
Alert & Buy Signals: When the SKK 1 system identifies stocks that have reached a potential bottom and are on the verge of a trend reversal, it issues vital alert signals, aiding conservative investors in prudent decision-making:
• Orange Upside Triangle Sign: This signal serves as a cautious heads-up, indicating that a stock may be poised for a trend reversal. It advises investors to prepare funds for potential investment without taking undue risks.
• Green Upside Triangle Sign: This is the confirmation of a trend reversal, signifying a robust buy signal. Conservative investors can confidently enter the market at this point, accumulating stocks for a long-term investment, secure in the knowledge that the trend is in their favor.
In summary, the SKK 1 system is a systematic and conservative approach to stock investing. It excels in identifying stocks experiencing corrections and ensures that investors act when there's a strong indication of a trend reversal, all while prioritizing capital preservation and risk management. This strategy empowers conservative investors to navigate the intricacies of the stock market with confidence, providing a calculated and stable path toward long-term portfolio growth.
Note: The SKK1 strategy, known for its conservative approach to stock investment, also provides an option to extend its methodology to ETFs and Funds for those investors who wish to accumulate assets more aggressively. By enabling this feature in the settings, you can harness the SKK1 strategy's careful criteria and signal indicators to accumulate aggressive investments in ETFs and Funds.
This flexible approach acknowledges that even within a conservative strategy, there may be opportunities for more assertive investments in assets like ETFs and Funds. By making use of this option, you can strike a balance between a conservative stance in your stock portfolio while exploring an aggressive approach in other asset classes. It offers the versatility to cater to a variety of investment preferences, ensuring that you can adapt your strategy to suit your financial goals and risk tolerance.
SKK 2 Strategy for Aggressive Stock Investment:
The SKK 2 strategy is designed for those who are determined not to miss significant opportunities within a continuous uptrend and seek a way to enter a trend that doesn't present entry signals through the SKK 1 strategy. While it offers a more aggressive entry approach, it is ideal for individuals willing to take calculated risks to potentially reap substantial long-term rewards. This strategy is particularly suitable for accumulating stocks for aggressive long-term investment. Here's a detailed description of the SKK 2 strategy:
Objective: The primary aim of the SKK 2 strategy is to provide an avenue for investors to identify short-term trend reversals and seize the opportunity to enter stocks during an uptrend, thereby capitalizing on a sustained bull run. It acknowledges that there may not always be clear entry signals through the SKK 1 strategy and offers a more aggressive alternative.
Stock Selection Criteria: The SKK 2 strategy utilizes a specific set of criteria for stock selection:
1. 50EMA (Exponential Moving Average): It targets stocks that are trading below the 50-day Exponential Moving Average. This signals a short-term reversal from the top and indicates that the stock is in a downtrend.
2. RSI (Relative Strength Index): The strategy considers stocks with an RSI of less than 40, which is an indicator of weakness in the stock.
Alert Signals: The SKK 2 strategy provides distinct alert signals that facilitate entry during an aggressive reversal:
• Red Downside Triangle Sign: This signal is triggered when the stock is below the 50EMA and has an RSI of less than 40. It serves as a clear warning of a short-term reversal from the top and a downtrend, displayed on the daily chart.
• Purple Upside Triangle Sign: This sign is generated when a reversal occurs through a bullish candle, and the RSI is greater than 40. It signifies the stock has bottomed out from a short-term downtrend and is now reversing. This purple upside triangle serves as an entry signal on the chart, presenting an attractive opportunity to accumulate stocks during a strong bullish phase, offering a chance to seize a potentially favorable long-term investment.
In essence, the SKK 2 strategy caters to aggressive investors who are willing to take calculated risks to enter stocks during a continuous uptrend. It focuses on identifying short-term reversals and provides well-defined signals for entry. While this strategy is more aggressive in nature, it has the potential to yield substantial rewards for those who are comfortable with a higher level of risk and are looking for opportunities to build a strong long-term portfolio.
Introduction to Strategy Signal Information Chart
This chart provides essential information on strategy signals for DKK, SKK1, and SKK2. By quickly identifying "Buy" and "Alert" signals for each strategy, investors can efficiently gauge market conditions and make informed decisions to optimize their investment portfolios.
In Conclusion
These investment strategies, whether conservative like DKK and SKK1 or more aggressive like SKK2, offer a range of options for investors to navigate the complex world of long-term investments. The combination of Super Trend, RSI, and EMAs with their crossovers provides clear signals on a daily time frame, empowering users to make well-informed decisions and potentially capitalize on market opportunities. Whether you're looking for stability or are ready to embrace more risk, these strategies have something to offer for building and growing your investment portfolio.
