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!
Educational
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!
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:
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.
HDBhagat multi time frame box analysis
Title: Multi-Timeframe Box Analysis Indicator
Description:
The Multi-Timeframe Box Analysis Indicator is a powerful tool designed for use on the TradingView platform. It provides a visual representation of price movements across multiple timeframes, allowing traders to gain insights into potential trend changes and key support/resistance levels.
Key Features:
Multi-Timeframe Analysis: The indicator analyzes price data across different timeframes (1W, 1D, 4H, and 1H) simultaneously, providing a comprehensive view of market trends.
Box Visualization: The indicator represents price movements within each timeframe as colored boxes. Green boxes indicate bullish price action, while red boxes represent bearish movements.
Customizable Settings: Traders can easily adjust the input parameters to suit their specific trading preferences, including timeframe selection and box appearance settings.
Historical and Real-Time Updates: The indicator updates in real-time, ensuring that traders have access to the latest information. It also accounts for historical data to provide context for past price movements.
How to Use:
Apply the Multi-Timeframe Box Analysis Indicator to your TradingView chart.
Customize the indicator settings according to your preferred timeframes and visual preferences.
Observe the boxes on the chart to identify trends, potential reversals, and key support/resistance levels.
Use the information provided by the indicator to make informed trading decisions.
Disclaimer:
This indicator is a visual representation of historical and real-time price movements and is intended for informational purposes only. It does not guarantee future performance or trading success. Traders should conduct their own analysis and consider additional factors before making any trading decisions.
Note: Past performance is not indicative of future results. Always use proper risk management and consider consulting a financial advisor before making any trading decisions.
Intersection PointThis publication focusses at the intersection of 2 lines, and a trend estimation derived from a comparison of Intersection Point value against current price value.
The formula to calculate the Intersection Point (IP) is:
change1 = ta.change (valueLine1)
change2 = ta.change (valueLine2)
sf = (valueLine2 - valueLine1 ) / (change1 - change2)
I = valueLine1 + change1 * sf
🔶 USAGE
🔹 Future / Past Intersection
The position where 2 lines would intersect in the future is shown here by extending both lines and a yellow small line to indicate its location:
Of course this can change easily when price changes.
If "Back" is enabled, the IP in history can be seen:
The yellow line which indicates the IP is only visible when it is not further located then +/- 500 bars from current bar.
If this point is further away, lines towards the IP still will be visible (max 500 bars further) without the IP.
🔹 Trend
The calculated intersection price is compared with the latest close and used for estimating the trend direction.
When close is above the intersection price (I), this is an indication the market is trending up, if close is below I, this would indicate the market is trending down.
The included bands can be useful for entry/SL/TP,...
🔶 DETAILS
🔹 Map.new()
All values are put in a map.new() with the function value()
The latest Intersection is also placed in this map with the function addLastIntersectValue() and retrieved at the last bar (right top)
🔹 Intersection Point Line
The intersection price can be made visible by enabling "Intersection Price" in SETTINGS -> STYLE. To ensure lines aren't drawn all over the place, this value is limited to maximum high + 200 days-ATR and minimum low - 200 days-ATR.
🔶 SETTINGS
🔹 Choose the value for both lines :
Type : choose between
• open, high, low, close,
• SMA, EMA, HullMA, WMA, VWMA, DEMA, TEMA
• The Length setting sets 1 of these Moving Averages when chosen
• src 1 -> You can pick an external source here
🔹 Length Intersection Line : Max length of line:
Intersection Line will update untillthe amount of bars reach the "Length Intersection Line"
💜 PURPLE BARS 😈
• Since TradingView has chosen to give away our precious Purple coloured Wizard Badge, bars are coloured purple 😊😉
Take Profit ModelThis Indicator allows you to define 9 Taking Profit levels between your floor price and a target price you define for 10 selectable Assets and tweak the levels to your preference. It does not do any fancy dynamic calculations, it just draws lines on the chart where you want them so that you have an easy reference for when to take profit (or not).
Example:
So, if your floor price for an asset is e.g. $10 and your target price is $110 (its up to you to define, who knows right, I do not have a crystal ball), You have a range of $100 where you can set your levels as follows
The first level is the Floor price you entered = $10
Formula: Level x (Target - Floor) + Floor = Take Profit level
Levels
0.1 x (110 - 10) + 10 = $20
0.2 x (110 - 10) + 10 = $30
0.3 x (110 - 10) + 10 = $40
0.4 x (110 - 10) + 10 = $50
0.5 x (110 - 10) + 10 = $60
0.6 x (110 - 10) + 10 = $70
0.7 x (110 - 10) + 10 = $80
0.8 x (110 - 10) + 10 = $90
0.9 x (110 - 10) + 10 = $100
And finally the last level is drawn for the target price
Target Price = $110
To change the settings, go to the cog icon of the Indicator, select the assets (Tickers) you have and next enter a value between 0 and 1 (as shown above) for each level, and if you want a different color. Instead of using 0.1-0.9 you e.g. can also use Fibonacci numbers like 0.235, 0.382, 0.618, 0.786 and disable (using the check mark) the rest of the levels. Experiment with this as you see fit.
Make sure that the chart you are looking at in TradingView is the same as you select in the indicator configuration e.g. COINBASE:BTCUSD should be selected as the chart as well as the Ticker in the configuration.
The Start date of the script is configurable (one date across all assets and levels)
The colors of the Levels is configurable (I am colorblind so go wild)
The standard values in the script are just examples, you need to determine the values that apply in your case and do your own research.
Your feedback is most welcome
The only Indicator you need
Maybe even a bit more than you need.
Gives you the option to color the bars based on Trading Sessions (Asia, London and US).
Session timings are based on UTC-4, but can be changed individually as needed.
Helps keeping a clear view of what happened during the Sessions without having to stack multiple Session Indicators, or having the background of your chart looking like a rainbow.
Keeping it plain and simple.
Also has the Option for plotting previous Weeks High and Low on Chart.
Found this to be helpful in determining Price behaviour in these Areas.
Also has an option to color the chart background for different time periods.
Helps marking News Releases on the Chart and avoid entering a Trade before major releases.
Has 2 presets for 30min / 2h into US Session and 2 Custom Timeperiods. All can of course be changed as you see fit.
Colors and plotting can obviously be changed as usual.
I am thankful for further Input and Ideas!
Camarilla Pivots using Heikin Ashi by SeloriaPlots Heikin-Ashi Camarilla levels and alerts you when the market gets close to any of these levels.
New York Sessions Morning, Lunch and afternoon. AMKDescription
The script is designed to highlight the New York Stock Exchange's trading day, broken down into three specific sub-sessions: morning, lunchtime, and afternoon. Each sub-session is color-coded to provide an immediate visual cue about which portion of the trading day is currently active. Additionally, this script allows the user to adjust the time zone offset, making it adaptable for traders in different time zones around the world.
Originality
While there are scripts that highlight the entire trading day or specific market hours, this script adds granularity by breaking down the New York trading session into its typical behavioral parts: the morning rush, the lunchtime lull, and the afternoon action. The addition of an adjustable time zone offset is a unique feature that makes the tool more versatile and accommodating to a global user base.
Usefulness
The ability to visualize these different trading sessions can be valuable for various types of traders:
Day Traders: The script helps to immediately identify which session they are in, aiding in their trading strategy as market behavior can vary between these periods.
Swing Traders: They may use these sub-sessions to time their entries or exits, especially if they're based in different time zones.
Market Analysts: The color-coded sessions provide a quick way to analyze the historical performance and volatility of an asset during different trading periods.
Global Traders: The time zone adjustment feature makes it easy for traders outside of the Eastern Time Zone to customize the script according to their local time, increasing its utility across different markets.
Educational Purpose: For new traders, this could serve as an educational tool to understand the typical behavior of the stock market at different times of the day.
So, whether you're timing an intraday entry or looking for patterns tied to specific market sessions, this script offers a straightforward, visual way to keep track of where you are in the trading day.
NCI Trading Plan (Individual Asset)NCI Trading Plan (Individual Asset)- By LightNCI
NCI, which stands for New Concept Integration by Jayce PHAM, is a comprehensive approach that incorporates various critical aspects of trading to provide a logical, structured, and integrated approach to the financial markets. NCI covers market structure, key levels, smart money concepts, multiple timeframes and market cycles
About the NCI Trading Plan (Individual Asset) Indicator
The NCI Trading Plan is just a table allowing traders to keep track of a single asset, but multiple timeframe status on a single table, ensuring a comprehensive overview of trading statuses and strategies for each timeframe. The status is not automatically update. Using the NCI strategy, you may update it yourself the status of each timeframe.
Features
1. Display column for Daily, H4, H1, M15, M5, M1: Designed to support multi-timeframe analysis.
2. Direction Status Indication: Visualise the direction of each timeframe.
3. Dynamic Status Indication: Visualize the trading status for each asset:
i. Monitor: Asset is under review or surveillance.
ii. Confirmation: A potential trading signal or setup is being confirmed.
iii. Entry Set: An order for the asset has been placed.
iv. Forward-Test: An asset under monitored for it to being forward test.
4. Strategy Indication: Each asset can be tagged with a specific strategy identifier:
i. CKL: Confluence Key Level
ii. UKL: Un-Confluence Key Level
iii. SMC: Smart Money Concept
iv. BRT: Break & Re-Test
v. RTNKL: Re-Test of New Key Level
5. Stylisation: Color-code the statuses, table and fonts to suit your visual preference.
How to use
1. Asset Name: Select asset from the list
2. Timeframe Direction: Choose direction for each timeframe.
3. Status Selection: Choose the current trading status for each asset.
4. Strategy Selection: Assign a trading strategy to each asset.
5. Style: Customise the appearance of your trading plan by selecting preferred colours for different statuses and headers.
Conclusion
The NCI Trading Plan ensures a systematic and organised approach to multi-time frame trading. By maintaining a visual overview of multi-time frame analysis and their corresponding trading statuses and strategies, traders can efficiently manage their portfolio and ensure timely decision-making.
Tip: To reset or modify an asset's status or strategy, simply adjust the settings in the panel on the left. The table will update in real-time.
Learning Understanding ta.change//First script I have published. Constructive criticism is welcome.
// I hope this may be helpful to you.
// Initially, I did this for myself as I was getting some odd results from the ta.change function. Turns out it was my error LOL. What a surprise!
// Typical syntax: ta.change(source, value)
// value doesn't need to be included. If it isn't, it will only calculate the change between the last and current value.
// Conclusion. ta.change simply calculates the difference between a previous value/candle and the latest value/candle current value in that series. Positive number states that the recent is higher.
// Bonus :-) Function on line 34 outputs the changes in a positive figure (so as to be able to sum the changes/volatility of the series of values)
Choose Symbol, candle and Trend modeThis Pine Script code is designed for technical analysis and visualization of price movements on the TradingView platform. It serves as a tool for traders and investors to:
Price Chart Analysis: The code plots the price chart of a selected symbol and utilizes Heikin-Ashi candlesticks to visualize price movements. This aids in better understanding price trends, support and resistance levels, retracements, and other price actions.
Trend Identification: The code also employs the Exponential Moving Average (EMA) to identify the price trend. EMA is commonly used to determine the strength and direction of a trend. Traders and investors can use this information to track trends and develop trading strategies.
Buy and Sell Signals: The code generates buy and sell signals based on EMA. These signals provide information on when to consider buying or selling a specific symbol. This is particularly useful for traders when making trading decisions.
Timeframe Customization: Users can adapt the code to different timeframes. This flexibility is valuable for those looking to develop strategies for both short-term and long-term trading.
Customization: The code allows users to customize various parameters, including the symbol, timeframe, Heikin-Ashi mode, and others. This enables it to be tailored to different assets and trading styles.
Please note that this code is provided for educational and informational purposes only. It does not constitute financial advice or recommendations for specific trading actions. Any trading decisions made using this code should be based on individual research, analysis, and a clear understanding of the associated risks.
