Ultimate Customizable EMA/SMAI know, not another EMA indicator, but I promise, I will make it worth your while!
About this indicator:
This is an EMA indicator, plain and simple. But its ultimate! And its ultimate in the sense that I have made it vastly customizable.
I made this indicator as a boring, single line indicator that would allow me to toggle to whichever EMA / SMA I wanted on whatever timeframe I wanted, because with the currently available EMAs and SMAs (and there are tons of them), I could never seem to get one with the precise settings I wanted.
Then I realized, if I struggled with this, chances are other people may be struggling with this. And also chances are not everyone is great with coding things quickly and it may be out of reach for those to code something specific to their individual needs and desires.
So this indicator is meant for those who, like me, may have very specific tastes for their EMA indicator and want to be able to tailor it right down to a T of what they want, but maybe don't have the skills to code things specifically the way they would like it.
So what can I do with it?
Well, you can do really whatever you want. I have made absolutely everything possible customizable, right down to the size of the plotted line (you can adjust the width of the line to make it more or less visible). But let me give you a list of the functions permitted for this indicator:
1. Toggle between an EMA or SMA: The indicator will default to show the EMA. However, you can toggle between an EMA or SMA, depending on your preference.
2. Add 2 EMA's or SMAs: The indicator permits up to 2 EMA's to be added. Both of which can be either EMA or SMA and operate independently (you can have one as EMA and the other as SMA, both as SMA or whatever combination thereof).
3. Specify your timeframes: Each EMA/SMA can have an individual timeframe. If you want to plot 2, 200 EMA's on your chart, 1 on the 5 minute chart and the other on the 1 Day chart, you can do it! The indicator will permit you to individually select which timeframe you want for both of the available EMAs/SMAs. They can both be on separate timeframes.
4. Specify your sources: In addition to both being able to be on separate timeframes, both can also be on separate sources. You can have the 200 EMA of the close price as well as the 200 EMA of the high or low price. The indicator will permit you to specify your preferred sources.
5. Plot Standard Deviation bands: You can plot the standard deviation bands of the primary EMA/SMA (this is only available on the primary EMA/SMA and not both). You can also specify the length of the standard deviation bands that can operate independently of the primary EMA/SMA. So if you have the 50 EMA but want the 200 standard deviation bands, you can do so and specify this in the data inputs.
6. Customize your alerts: The indicator provides 6 pre-programmed condition alerts that are applied to both the primary, secondary and both EMAs. This way, you can customize various alerts based on various conditions you want to look for.
7. Plot crossover / crossunder arrows: The indicator will allow you to request it to plot triangles to signal crossovers and crossunders. This can be toggled on and off based on your visual preference.
8. Provides demographic information: The EMA will provide basic demographic information about the stock's behaviour around the EMA/SMA. This is displayed in a table at the top right of the chart. It will tell you the number of touches a stock has with its various EMA/SMAs, how many closes it has had above or below the EMA/SMA (for example, a bullish ticker should have more closes above an EMA than below it and inverse for bearish), how many times the close price has crossed over or crossed under the two EMA/SMAs and how many time the EMA/SMAs have crossed over and crossed under each other. This all gives an idea of the relative strength and sentiment of a stock in a quantitative way. The length of the lookback period is customizable individually for each EMA/SMA. If you want to look back 100, 200, 500 or just 75 candles, you can specify. You can also toggle on and off each or both tables as you desire.
Final thoughts:
The indicator was meant to tailor to my general need to toggle between very specific EMAs and SMAs to gauge averages. I generally will look at various EMAs and SMAs to calculate various things and I never specifically rely on a single EMA and SMA. Its annoying having to switch between multiple indicators and I always ended up opening pinescript and coding in what exactly I wanted to look at. This was meant to stop me from having to constantly code something specifically each time I wanted very specific information and I felt like I should share it with the community, as if I find it helpful and useful, I hope others will, too!
Hopefully you find it helpful and useful and as always leave your suggestions below!
Komut dosyalarını "港股央企红利etf" için ara
RSI-CCI Fusion StrategyRSI-CCI Fusion Strategy: Harnessing the Power of RSI and CCI
The "RSI-CCI Fusion Strategy" is a powerful trading approach that combines the strengths of the Relative Strength Index (RSI) and the Commodity Channel Index (CCI) to provide enhanced trading insights. This strategy is based on the popular "RSI & CCI Fusion + Alerts" indicator, which utilizes the RSI and CCI indicators from TradingView .
1. Overview of RSI and CCI:
The Relative Strength Index (RSI) is a widely used momentum oscillator that measures the speed and change of price movements. It helps traders identify overbought and oversold conditions in the market. On the other hand, the Commodity Channel Index (CCI) is a versatile indicator that identifies cyclical trends and provides insights into overbought and oversold levels.
2. The RSI-CCI Fusion Strategy:
The RSI-CCI Fusion Strategy harnesses the combined power of the RSI and CCI indicators to generate robust trading signals. By blending the RSI and CCI, this strategy captures both momentum and cyclical trend dynamics, offering a more comprehensive view of the market.
3. Utilizing the RSI-CCI Fusion Indicator + Alerts:
The "RSI & CCI Fusion + Alerts" indicator serves as the backbone of the RSI-CCI Fusion Strategy. It integrates the RSI and CCI indicators from TradingView, providing traders with a clear and actionable trading signal.
4. How it Works:
- The indicator calculates the RSI and CCI values, standardizes them using z-score, and combines them with a weighted fusion approach.
- The resulting RSI-CCI Fusion indicator is plotted on the chart, accompanied by dynamic upper and lower bands, which help identify potential overbought and oversold conditions.
- Traders can customize alerts based on their preferred thresholds and timeframes, enabling them to receive timely notifications for potential buy and sell signals.
5. Implementing the RSI-CCI Fusion Strategy:
Traders following the RSI-CCI Fusion Strategy can utilize the buy and sell signals generated by the RSI-CCI Fusion indicator. When the indicator crosses below the upper band, it may signal a potential selling opportunity. Conversely, when it crosses above the lower band, it may indicate a potential buying opportunity. Traders can also consider additional factors and technical analysis tools to validate the signals before making trading decisions.
Conclusion: The RSI-CCI Fusion Strategy provides traders with a robust approach to analyze the market and make well-informed trading decisions. By incorporating the RSI and CCI indicators through the "RSI & CCI Fusion + Alerts" indicator, traders can take advantage of the combined strengths of these indicators. However, it is important to remember that no strategy guarantees success, and traders should always practice risk management and conduct thorough analysis before executing trades using this strategy.
Disclaimer: Trading involves risks, and it is important to conduct your own research and consult with a financial advisor before making any investment decisions.
Note: The RSI-CCI Fusion Strategy serves as a general guide, and individual traders may have different preferences and trading styles.
RSI-CCI Fusion + AlertsThe "RSI-CCI Fusion" indicator combines the Relative Strength Index (RSI) and Commodity Channel Index (CCI) from TradingView.
RSI-CCI Fusion: Unlocking Synergies in Technical Analysis
Technical analysis plays a crucial role in understanding market dynamics and making informed trading decisions. I often rely on a combination of indicators to gain insights into price movements and identify potential trade opportunities. In the lines below, I will explore the "RSI-CCI Fusion" indicator, a powerful tool that combines the strengths of the Relative Strength Index (RSI) and the Commodity Channel Index (CCI) to provide enhanced trading insights.
1. Understanding the RSI and CCI Indicators
Before delving into the fusion of these indicators, let's briefly review their individual characteristics. The RSI is a widely used momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100, with readings above 70 indicating overbought conditions and readings below 30 indicating oversold conditions.
On the other hand, the CCI is a versatile indicator designed to identify cyclical trends in prices. It measures the distance between the price and its statistical average, thereby providing valuable insights into overbought and oversold levels.
2. The Concept of RSI-CCI Fusion
The RSI-CCI Fusion indicator is born out of my desire to harness the collective power of the RSI and CCI. By combining these indicators, I can benefit from a more comprehensive trading signal that captures both momentum and cyclical trend dynamics.
The fusion process involves assigning weights to the RSI and CCI, creating a blended indicator that reflects their relative importance. The weighted combination ensures that both indicators contribute meaningfully to the final result.
To maintain consistency, the RSI and CCI values are standardized using the z-score technique. This normalization process brings the values to a common scale, making them directly comparable. Rescaling is then applied to bring the combined indicator back to its original scale, facilitating intuitive interpretation.
3. Interpreting the RSI-CCI Fusion Indicator
When plotting the RSI-CCI Fusion indicator on a chart, I gain valuable insights into market dynamics and potential trading opportunities. The indicator's plot typically includes dynamic upper and lower bands, which are calculated based on the indicator's standard deviation. These bands provide boundaries for evaluating overbought and oversold conditions.
When the RSI-CCI Fusion indicator crosses above the lower band, it suggests oversold conditions and potential buying opportunities. Conversely, when the indicator crosses below the upper band, it indicates overbought conditions and potential selling opportunities. I also pay attention to the baseline, which represents the neutral level and may signal potential trend reversals.
4. Utilizing Alerts for Trading Decisions
The RSI-CCI Fusion indicator can be further enhanced by incorporating alerts. These alerts notify me when the indicator generates buy or sell signals, enabling me to take prompt action. I can customize the alerts based on my preferred thresholds and timeframes.
However, it is crucial to remember that the RSI-CCI Fusion indicator should not be relied upon in isolation. To increase the robustness of my trading decisions, it is recommended to combine the indicator with other analysis techniques such as trend lines, support and resistance levels, or additional indicators. This convergence of analysis methodologies enhances the overall accuracy of my trade signals.
Conclusion: The RSI-CCI Fusion indicator represents a compelling approach to technical analysis by synergizing the strengths of the RSI and CCI. By combining momentum and cyclical trend dynamics, I gain a more comprehensive view of market conditions. The fusion of these indicators, accompanied by timely alerts, equips me with valuable insights and facilitates well-informed trading decisions.
As with any technical analysis tool, it is essential for me to backtest the RSI-CCI Fusion indicator to evaluate its performance across different market conditions and timeframes. Additionally, applying proper risk management strategies is crucial to ensure consistent and disciplined trading practices.
Ultimate Balance StrategyThe Ultimate Balance Oscillator Strategy harnesses the power of the Ultimate Balance Oscillator to deliver a comprehensive and disciplined approach to trading. By combining the insights of the Rate of Change (ROC), Relative Strength Index (RSI), Commodity Channel Index (CCI), Williams Percent Range, and Average Directional Index (ADX) from TradingView, this strategy offers traders a systematic way to navigate the markets with precision.
The core principle of this strategy lies in its ability to identify optimal entry and exit points based on the movement of the Ultimate Balance Oscillator. When the oscillator line crosses below the 0.75 level, a buy signal is generated, indicating a potential opportunity for a bullish trend reversal. Conversely, when the oscillator line crosses above the 0.25 level, it triggers an exit signal, suggesting a possible end to a bullish trend.
Key Features:
1. Objective Market Analysis: The Ultimate Balance Oscillator Strategy provides a disciplined and objective approach to market analysis. By relying on the quantified insights of multiple indicators, it helps traders cut through market noise and focus on key signals, improving decision-making and reducing emotional biases.
2. Enhanced Timing and Precision: This strategy's entry and exit signals are based on the specific thresholds of the Ultimate Balance Oscillator. By waiting for confirmation through the crossing of these levels, traders can potentially enter trades at opportune moments and exit with greater precision, maximizing profit potential and minimizing risk exposure.
3. Customizability and Adaptability: The strategy offers flexibility, allowing traders to customize the parameters to fit their preferred trading style and timeframes. Whether you're a short-term trader or a long-term investor, the Ultimate Balance Oscillator Strategy can be adjusted to suit your specific needs, making it adaptable to various market conditions.
4. Real-time Alerts: Stay informed and never miss a potential trade opportunity with the strategy's built-in alert system. Set personalized alerts for buy and exit signals to receive timely notifications, ensuring you're always aware of the latest developments in the market.
5. Backtesting and Optimization: Before applying the strategy to live trading, it's recommended to conduct thorough backtesting and optimization. By testing the strategy's performance over historical data and fine-tuning the parameters, you can gain insights into its strengths and weaknesses, enabling you to make informed adjustments and increase its effectiveness.
Trading involves risk. Use the Ultimate Balance Oscillator Strategy at your own discretion. Past performance is not indicative of future results.
Ultimate Balance OscillatorIntroducing the Ultimate Balance Oscillator: A Powerful Trading Indicator
Built upon the renowned Rate of Change (ROC), Relative Strength Index (RSI), Commodity Channel Index (CCI), Williams Percent Range, and Average Directional Index (ADX) from TradingView, this indicator equips traders with an unparalleled understanding of market dynamics.
What sets the Ultimate Balance Oscillator apart is its meticulous approach to weighting. Each component is assigned a weight that reflects its individual significance, while carefully mitigating the influence of highly correlated signals. This strategic weighting methodology ensures an unbiased and comprehensive representation of market sentiment, eliminating dominance by any single indicator.
Key Features and Benefits:
1. Comprehensive Market Analysis: The Ultimate Balance Oscillator provides a comprehensive view of market conditions, enabling traders to discern price trends, evaluate momentum shifts, identify overbought or oversold levels, and gauge the strength of prevailing trends. This holistic perspective empowers traders to make well-informed decisions based on a thorough understanding of the market.
2. Enhanced Signal Accuracy: With its refined weighting approach, the Ultimate Balance Oscillator filters out noise and emphasizes the most relevant information. This results in heightened signal accuracy, providing traders with a distinct advantage in identifying optimal entry and exit points. Say goodbye to unreliable signals and welcome a more precise and dependable trading experience.
3. Adaptability to Various Trading Scenarios: The Ultimate Balance Oscillator transcends the constraints of specific markets or timeframes. It seamlessly adapts to diverse trading scenarios, accommodating both short-term trades and long-term investments. Traders can customize this indicator to suit their preferred trading style and effortlessly navigate ever-changing market conditions.
4. Simplicity and Ease of Use: The Ultimate Balance Oscillator simplifies trading analysis by providing a single line on the chart. Its straightforward interpretation and seamless integration into trading strategies make decision-making effortless. By observing bullish or bearish crossovers with the moving average, recognizing overbought or oversold levels, and tracking the overall trend of the oscillator, traders can make well-informed decisions with confidence.
5. Real-time Alerts: Stay ahead of the game with the Ultimate Balance Oscillator's customizable alert system. Traders can set up personalized alerts for bullish or bearish crossovers, breaches of overbought or oversold thresholds, or any specific events that align with their trading strategy. Real-time notifications enable timely action, ensuring traders never miss lucrative trading opportunities.
The Ultimate Balance Oscillator is a robust trading companion, empowering traders to make shrewd and calculated decisions. Embrace its power and elevate your trading endeavors to new heights of precision and success. Discover the potential of the Ultimate Balance Oscillator and unlock a world of trading possibilities.
Williams %R Strategy
The Williams %R Strategy is a trading approach that is based on the Williams Percent Range indicator, available on the TradingView platform.
This strategy aims to identify potential overbought and oversold conditions in the market, providing clear buy and sell signals for entry and exit.
The strategy utilizes the Williams %R indicator, which measures the momentum of the market by comparing the current close price with the highest high and lowest low over a specified period. When the Williams %R crosses above the oversold level, a buy signal is generated, indicating a potential upward price movement. Conversely, when the indicator crosses below the overbought level, a sell signal is generated, suggesting a possible downward price movement.
Position management is straightforward with this strategy. Upon receiving a buy signal, a long position is initiated, and the position is closed when a sell signal is generated. This strategy allows traders to capture potential price reversals and take advantage of short-term market movements.
To manage risk, it is recommended to adjust the position size based on the available capital. In this strategy, the position size is set to 10% of the initial capital, ensuring proper risk allocation and capital preservation.
It is important to note that the Williams %R Strategy should be used in conjunction with other technical analysis tools and risk management techniques. Backtesting and paper trading can help evaluate the strategy's performance and fine-tune the parameters before deploying it with real funds.
Remember, trading involves risks, and past performance is not indicative of future results. It is always advised to do thorough research, seek professional advice, and carefully consider your financial goals and risk tolerance before making any investment decisions.
Relative Strength, not RSIThe Smoothed Relative Strength Indicator (not RSI) with Multi-Timeframe Support is a custom indicator that combines the concepts of Relative Strength (not RSI) and Money Flow Index (MFI) to create a smoothed trend-following tool. It works on any timeframe and adapts to different market conditions.
Key Features:
Multi-timeframe support: [ The script uses the request.security function to fetch data from other timeframes, allowing users to analyze the trend on different timeframes simultaneously.
Relative Strength calculation: The script calculates the Relative Strength (not RSI) by averaging the gains and losses over a user-defined period (len).
Money Flow Index calculation: The script calculates the Money Flow Index (MFI) by considering both price and volume data. The MFI is an oscillator that ranges between 0 and 100, and it helps identify overbought or oversold conditions in the market.
Combination of Relative Strength and MFI:The indicator calculates the average of Relative Strength and MFI values to create the Trend Reversal Strength (TRS) line.
Smoothing the TRS line: The TRS line is smoothed using a Simple Moving Average (SMA) with a user-defined smoothing length (smoothLen). This helps to reduce noise and make the trend more readable.
Trend color determination: The script determines the trend color based on the slope of the smoothed TRS line. If the current value of the smoothed TRS line is higher than the previous one, the line is colored green (uptrend). If the current value is lower than the previous one, the line is colored red (downtrend).
Visual representation of trend changes: The indicator plots small circles at points where the trend color changes, making it easier to identify potential trend reversal points.
Zero line: The script draws a horizontal line at the zero level to help users gauge the market's strength or weakness relative to this level.
Usage:
This indicator can be used as a trend-following tool to identify potential entry and exit points in the market. When the smoothed TRS line is green and rising, it suggests a bullish trend, and traders may consider entering long positions. Conversely, when the smoothed TRS line is red and falling, it indicates a bearish trend, and traders may consider short positions or exiting long trades.
Please note that this indicator should be used in conjunction with other technical analysis tools and proper risk management techniques to improve the accuracy of your trading decisions.
Key Levels (Open, Premarket, & Yesterday)OVERVIEW
This indicator automatically identifies and draws recent high-probability support and resistance levels (recent key levels). Specifically, yesterdays highs / lows, premarket highs / lows, as well as yesterdays end of day Volume Weighted Average Price and trader specified Moving Average.
This is most useful on charts with intraday time frames (1 minute, 5 minute etc.) commonly used for day trading. This is not ideal for larger time frames (greater than 1 hour) commonly used for swing trading or identifying larger trends.
INPUTS
You can configure:
Line size, style, and colors
Label colors
Which key levels you want to see
Moving Average Parameters
Market Hours and Time Zone
DEV NOTES
This script illustrates:
A method for iterative management of more complex data objects (not just discrete values) with loops and arrays.
Central Bank LiquidityCentral Bank Liquidity = Total value of the assets of all Federal Reserve Banks - Overnight Reverse Repurchase Agreements (RRP) - The Treasury General Account (TGA)
TradingView ticker arithmetic: FRED:WALCL-FRED:WTREGEN-FRED:RRPONTSYD
Dynamic Trendlines Multi-TimeframeThe Dynamic Trendlines indicator is a useful tool for traders to identify potential support and resistance levels in the market. By analyzing price volatility and drawing trendlines based on high volatility candles, it helps traders visualize key price levels that may influence future price action. This indicator uses the Average True Range (ATR) as a measure of price volatility to determine the threshold for high volatility candles. This indicator can be used on multiple time frames, so just choose which one works best for you!
The underlying concept of this indicator revolves around the calculation of the True Range and Average True Range. The True Range is the maximum value among the difference between the current high and low, the absolute value of the difference between the current high and previous close, and the absolute value of the difference between the current low and previous close. The ATR is then calculated as the simple moving average of the True Range over a user-defined period (default is 14). The threshold for high volatility candles is determined by multiplying the ATR by a user-defined multiplier (default is 1.5).
The indicator identifies high volatility candles when the closing price is greater than the previous closing price plus the threshold. Based on the price action, trendlines are drawn connecting the high or low of high volatility candles. The initial color and style of the trendline are determined by whether the price is moving up or down. Green solid lines represent upward price movement, while red solid lines represent downward price movement.
As the price crosses the trendlines, the indicator tracks the number of crosses and updates the line's style accordingly. If the price crosses a trendline twice, the line style is changed to dashed, indicating the potential weakening of the support or resistance level.
This indicator works best with trading methods that focus on capturing price breakouts or reversals. Traders can use the trendlines to identify potential entry or exit points, stop-loss levels, or take-profit targets. It's important to note that this indicator should be used in conjunction with other technical analysis tools and an understanding of the overall market context to make informed trading decisions.
When using the Dynamic Trendlines indicator on TradingView, users can customize the ATR length, threshold multiplier, and the number of recent trendlines displayed on the chart. Additionally, small triangles are plotted below high volatility candles, with their color based on the trendline it starts, providing a quick visual reference for traders.
In summary, the Dynamic Trendlines indicator is a valuable tool for identifying potential support and resistance levels in the market by analyzing price volatility and drawing trendlines based on high volatility candles. It is best suited for breakout and reversal trading strategies and should be used in conjunction with other technical analysis tools for optimal results.
EMA/SMA Cross with LevelsThe EMA/SMA Cross indicator is a valuable trading tool designed to assist traders in identifying potential trend reversals or entry and exit points in the market. By plotting two moving averages, one based on the Exponential Moving Average (EMA) and the other on the Simple Moving Average (SMA), this indicator highlights the points at which these averages cross, signaling a potential change in the market trend. This straightforward yet powerful indicator follows the core principles of technical analysis, allowing traders to visualize key price levels that may influence future price action.
The underlying concept of this indicator revolves around the calculation and comparison of the short-term EMA and the long-term SMA. The EMA is a type of weighted moving average that gives more importance to recent price data, making it more responsive to new information. In contrast, the SMA assigns equal weight to all data points within a specified period, providing a smoother representation of price trends. By comparing these two averages, traders can gain insights into potential shifts in market sentiment and momentum.
When the short-term EMA crosses above the long-term SMA, it signals a possible bullish trend reversal, indicating that the recent price momentum is gaining strength. Conversely, when the short-term EMA crosses below the long-term SMA, it suggests a bearish trend reversal, implying that the recent price momentum is weakening. Traders can use these crossing points as potential entry or exit signals, depending on their trading strategy and risk tolerance.
A unique feature of this indicator is its ability to plot the crossing levels on the chart. When the short-term EMA crosses the long-term SMA, a dashed line is drawn horizontally at the level of the cross, emphasizing the significance of the price level. This line serves as a reference point for traders, helping them to identify potential support or resistance levels that may influence future price movements.
By plotting the crossing levels, the EMA/SMA Cross indicator offers traders an additional layer of information that can be used in their decision-making process. These levels can act as crucial points for stop-loss or take-profit orders, depending on the trader's strategy and risk tolerance. Additionally, they can serve as a basis for further technical analysis, such as the identification of chart patterns or the application of other technical indicators.
This indicator works best with trading methods that focus on capturing price reversals or breakouts. It is particularly useful for traders who employ trend-following or momentum-based strategies, as it helps them identify the optimal moments to enter or exit a trade. However, it's important to note that the EMA/SMA Cross indicator should be used in conjunction with other technical analysis tools and an understanding of the overall market context to make informed trading decisions.
When using the EMA/SMA Cross indicator on TradingView, users can customize the time frame, source, and length for both the short-term EMA and long-term SMA, as well as the number of recent crossing lines displayed on the chart. This flexibility allows traders to tailor the indicator to their specific trading style and preferences.
In summary, the EMA/SMA Cross indicator is an essential tool for traders looking to identify potential trend reversals or entry and exit points in the market. By comparing the short-term EMA and long-term SMA, this indicator provides valuable insights into shifts in market sentiment and momentum. It is best suited for trend-following and momentum-based trading strategies and should be used in combination with other technical analysis tools for optimal results.
Z-Score Probability IndicatorThis is the Z-Score Probability indicator. As many people like my original Z-Score indicator and have expressed more interest in the powers of the Z, I decided to make this indicator which shows additional powers of the Z-Score.
Z-Score is not only useful for measuring a ticker or any other variable’s distance from the mean, it is also useful to calculate general probability in a normal distribution set. Not only can it calculate probability in a dataset, but it can also calculate the variables within said dataset by using the Standard Deviation and the Mean of the dataset.
Using these 2 aspects of the Z-Score, you can, In principle, have an indicator that operates similar to Fibonacci retracement levels with the added bonus of being able to actually ascertain the realistic probability of said retracement.
Let’s take a look at an example:
This is a chart showing SPY on the daily timeframe. If we look at the current Z-Score level, we can see that SPY is pushing into the 2 to 3 Z-Score range. We can see two things from this:
1. We can see that a retracement to a Z-Score of 2 would correspond to a price of 425.26 based on the current dataset. And
2. We can see that the probability that SPY retraces to a Z-Score of 2 is around 0.9800 or 98%.
To take it one step further, we can look at the various other variables in the distribution. If we were to bet on SPY retracing back to -1 SDs, that would correspond to a price of around 397.15, with a probability of around 0.1600 or 16% (see image below):
Let’s say, we thought SPY would go to $440. Well, we can see that the probability SPY goes to 434.64 currently is pretty low. How do we know? Because the Z-Score table shows us the probability of values falling BELOW that Z-score level in the current distribution. So if we look at this example below:
We can see that 0.9998 or roughly 99% of values in the current SPY distribution will fall below 434.64. Thus, it may be unrealistic, at this point in time, to target said value.
So what is a Z-Score Table?
Well, I need to disclose/clarify that the Z-Score Table being displayed in this indicator does Z-Score probability a HUGE injustice. However, with the constraints what is realistic to fit into an indicator, I had to make it far more succinct. Let’s take a look at an actual Z-Score Table below:
Above is a look an the actual Z-Score table. How it works is you first identify you’re Z-Score and then find the corresponding value that relates to your score. The number displayed in the dataset represents the number of variables in the dataset/density distribution that fall BELOW that particular Z-score.
So, for example, if we have a Z-Score of -2.31, we can consult that table, go to the -2.3 then scroll across to the 0.01 to represent -2.31. We would see that this Z-Score corresponds to a 0.0104 probability zone (or essentially 1%) indicating that the majority of the variables in the distribution fall below that mean Z-score. In terms of tickers and stocks, that would mean it would theoretically be “overbought”.
So what does the indicator Z-Table tell us?
I have averaged out the data for the purposes of this indicator. However, you can also reference a manual Z-Table to get the exact probability for the current precise Z-Score. However, the reality is it doesn’t necessarily matter to be exact when it comes to tickers. The reason being, ticker’s are in constant flux, and by the time you identify that probability, the ticker will already be at a different level. So generalizations are okay in these circumstances, you just need to get the “gist” of where the distribution lies.
So how do I use the indicator?
Using the indicator is pretty straightforward. Once launched, you will see the current Z-Score of the ticker, the current levels based on the distribution and the summarized Z-Table.
The Z-Table will turn gray to indicate the zone the ticker is currently in. In this case, we can see that SPY currently is in the 2 SD Zone, meaning that 0.98 or 98% of the current dataset being shown falls below the price we are at:
When we launch the settings, we can see a few inputs.
Lookback Length: This determines the number of candles back we want to calculate the distribution for. It is defaulted to 75, but you can adjust it to whichever length you want.
SMA Length: The SMA is optional but defaults to on. If you want to see the smoothed trend of the Z-Score, this will do the trick. It does not need to be set to the same
length as the Z-Score lookback. Thus, if you want a more or less responsive SMA with, say, a larger dataset, then you can reduce the SMA length yourself.
Distribution Probability Fills: This simply colour codes the distribution zones / probability zones on the indicator.
Show Z-Table: This will display the summarized Z-Table.
Show SMA: As I indicated, the SMA is optional, you can toggle it on or off to see the overall Z-Score trend.
Concluding Remarks:
And that my friends is the Z-Score Probability Indicator.
I hope you all enjoy it and find it helpful. As always leave your comments, questions and suggestions below.
Safe trades to all and take care!
Cumulative TICK [Pt]Cumulative TICK Indicator, shown as the bottom indicator, is a robust tool designed to provide traders with insights into market trends using TICK data. This indicator visualizes the cumulative TICK trend in the form of colored columns on a separate chart below the main price chart.
Here's an overview of the key features of the Cumulative TICK Indicator:
1. Selectable TICK Source 🔄: The indicator allows users to choose from four different TICK data sources, namely USI:TICK , USI:TICKQ , USI:TICKI , and $USI:TICKA.
2. TICK Data Type Selection 🎚️: Users can select the type of TICK data to be used. The options include: Close, Open, hl2, ohlc4, hlc3.
3. Optional Simple Moving Average (SMA) 📊: The indicator offers an option to apply an SMA to the Cumulative TICK values, with a customizable length.
4. After-hour Background Color 🌙: The background color changes during after-hours to provide a clear distinction between regular and after-hour trading sessions.
🛠️ How it Works:
The Cumulative TICK Indicator uses TICK data accumulated during the regular market hours (9:30-16:00) as per the New York time zone. At the start of a new session or at the end of the regular session, this cumulative TICK value is reset.
The calculated Cumulative TICK is plotted in a column-style graph. If the SMA is applied, the SMA values are used for the column plots instead. The columns are colored green when the Cumulative TICK is positive and red when it is negative. The shades of green and red vary based on whether the Cumulative TICK is increasing or decreasing compared to the previous value.
This is a simple yet powerful tool to track market sentiment throughout the day using TICK data. Please note that this indicator is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions.
Leveraged Share VolumeHello everyone,
Did this quick reference indicator and figured I would share it as nothing like it exists that I could find.
What this does is it pulls leveraged share data and displays the bull share and bear share volume.
There are 5 pre-programmed shares. These include:
SPY
Pulls bull share data from: SPXL and UPRO
Pulls bear share data from: SPXU and SPXS
IWM
Pulls bull share data from: TNA
Pulls bear share data from: TZA
DIA
Pulls bull share data from: UDOW
Pulls bear share data from: SDOW
QQQ
Pulls bull share data from: TQQQ
Pulls bear share data from: SQQQ
XLE
Pulls bull share data from: ERX
Pulls bear share data from: ERY
As there continues to be more leveraged shares available (for example, AAPU, APPD, MSFT, TSLA, etc.) there is also the option to use these manual tickers as these shares become available. The image below shows the data input screen:
The indicator will default to show the data as a ratio. The ratio is calculated by the total bear shares over the total bull shares (sell to buy ratio). If you unselect the Ratio option (displayed in the image above), it will show the raw volume.
When data is displayed as a ratio, you will see the white SMA line. This will show you the average ratio over a 14 period lookback. This is customizeable under the SMA Length input (shown in the image above).
Indicator's purpose:
The aim of the indicator is to provide context as to where the current sentiment is. Its similar in concept to a put to call ratio. The idea is, the more bearish people are, the more inverse shares are being bought, the higher the ratio or raw volume for bear shares and vice versa for bullish situations.
If you would like some more contextual information about the powers of tracking this type of data for trading purposes, you can check out this idea I published about the relationship between leveraged shares and market sentiment/behaviour:
Otherwise, the indicator is pretty straight forward!
Its not meant to be anything but a reference indicator to help give you context of the current market positioning.
If you have any questions or suggestions, please feel free to leave them below.
Thank you for reading and checking out the indicator!
Safe trades everyone!
Monthly Strategy Performance TableWhat Is This?
This script code adds a Monthly Strategy Performance Table to your Pine Script strategy scripts so you can see a month-by-month and year-by-year breakdown of your P&L as a percentage of your account balance.
The table is based on realized equity rather than open equity, so it only updates the metrics when a trade is closed.
That's why some numbers will not match the Strategy Tester metrics (such as max drawdown), as the Strategy Tester bases metrics like max drawdown on open trade equity and not realized equity (closed trades).
The script is still a work-in-progress, so make sure to read the disclaimer below. But I think it's ready to release the code for others to play around with.
How To Use It
The script code includes one of my strategies as an example strategy. You need to replace my strategy code with your own. To do that just copy the source code below into a blank script, delete lines 11 -> 60 and paste your strategy code in there instead of mine. The script should work with most systems, but make sure to read the disclaimer below.
It works best with a significant amount of historical data, so it may not work very effectively on intraday timeframes as there is a severe limitation of available bars on TradingView. I recommend using it on 4HR timeframes and above, as anything less will produce very little usable data. Having a premium TradingView plan will also help boost the number of available bars.
You can hover your mouse over a table cell to get more information in the form of tooltips (such as the Long and Short win rate if you hover over your total return cell).
Credit
The code in this script is based on open-source code originally written by QuantNomad, I've made significant changes and additions to the original script but all credit for the idea and especially the display table code goes to them - I just built on top of it:
Why Did I Make This?
None of this is trading or investment advice, just my personal opinion based on my experience as a trader and systems developer these past 6+ years:
The TradingView Strategy Tester is severely limited in some important ways. And unless you use complex Excel formulas on exported test data, you can't see a granular perspective of your system's historical performance.
There is much more to creating profitable and tradeable systems than developing a strategy with a good win rate and a good return with a reasonable drawdown.
Some additional questions we need to ask ourselves are:
What did the system's worst drawdown look like?
How long did it last?
How often do drawdowns occur, and how quickly are they typically recovered?
How often do we have a break-even or losing month or year?
What is our expected compounded annual growth rate, and how does that growth rate compare to our max drawdown?
And many more questions that are too long to list and take a lifetime of trading experience to answer.
Without answering these kinds of questions, we run the risk of developing systems that look good on paper, but when it comes to live trading, we are uncomfortable or incapable of enduring the system's granular characteristics.
This Monthly Performance Table script code is intended to help bridge some of that gap with the Strategy Tester's limited default performance data.
Disclaimer
I've done my best to ensure the numbers this code outputs are accurate, and according to my testing with my personal strategy scripts it appears to work fine. But there is always a good chance I've missed something, or that this code will not work with your particular system.
The majority of my TradingView systems are extremely simple single-target systems that operate on a closed-candle basis to minimize many of the data reliability issues with the Strategy Tester, so I was unable to do much testing with multiple targets and pyramiding etc.
I've included a Debug option in the script that will display important data and information on a label each time a trade is closed. I recommend using the Debug option to confirm that the numbers you see in the table are accurate and match what your strategy is actually doing.
Always do your own due diligence, verify all claims as best you can, and never take anyone's word for anything.
Take care, and best of luck with your trading :)
Kind regards,
Matt.
PS. If you're interested in learning how this script works, I have a free hour-long video lesson breaking down the source code - just check out the links below this script or in my profile.
Hobbiecode - RSI + Close previous dayThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules:
1. If RSI(2) is less than 15, then enter at the close.
2. Exit on close if today’s close is higher than yesterday’s high.
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe.
Please share any comment or idea below.
Have a good trading,
Ramón.
AlphaTrend - ScreenerScreener version of AlphaTrend indicator:
BUY / LONG when AlphaTrend line crosses above its 2 bars offsetted line, and there would be a green filling between them
SELL / SHORT when AlphaTrend line crosses below its 2 bars offsetted line, and filling would be red then.
Default values:
Coefficient: 1, which is the factor of the trailing ATR value
Common Period: 14, which is the length of ATR MFI and RSI
AlphaTrend default uses MFI in the calculation, and MFI (Money Flow Index) needs the volume data of the chart.
If your chart doesn't have the volume data, please select the "Change Calculation" option to use RSI instead of MFI.
Screener Panel:
You can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
Tickers seen in green are the ones that are in an uptrend, according to AlphaTrend.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers in front of each Ticker indicate how many bars passed after the last BUY or SELL signal of AlphaTrend.
For example, according to the indicator, when BTCUSDT appears in (3) and in GREEN, Bitcoin switched to BUY signal 3 bars ago.
Hui-Heubel Liquidity RatioThe Hui-Heubel Liquidity Ratio (lhh) is a measurement of market resiliency and liquidity. Higher values indicate a more liquid and resilient market, lower values indicate a more fragile market susceptible to volatile moves. It does not work on all tickers (for example, if something does not report volume).
Generally, you will see lhh rise when stocks sell off and fall when they are bought. Occasionally you will see scenarios where price will go up while lhh does as well, often this is a symptom of short covering.
Includes two configurable SMAs and a configurable lookback window.
Chilllax Moving Averages with Qullamaggie colors// Display 2 Moving Averages. Default is 10d sma and 20d sma. You can choose any length. Choose sma, or ema. Choose ma of Open, High, Low, or Close
// Color code is based on Qullamaggie's idea:
// Dark green = 10d ma > 20d ma, and both trending up
// Light green = 10d ma > 20d ma, but only 10d ma trending up
// Yellow = 10d ma > 20d ma, but neither trending up
// You can change the color
// You can hide the colors, then it will simply show 2 moving averages of your choice
// Trend is comparing the ma from X trendlen days ago. Default to 5 days ago. So, if today's ma is > 5 days ago, it is trending up
ATR Daily BandThis indicator draws an upper and lower band for each day. It uses the Average True Range calculation (with configurable lookback) and places the band at 1ATR above and 1ATR below the daily open.
I use this indicator as a simple gauge to tell how significant price movement is, and get a feel for the daily volatility. Due to the fractal nature of price action, it can be difficult to determine if a price movement is significant while zoomed in on a single intraday chart. Using this indicator, I can tell if the price action is approaching the ATR or if it's just staying within the band.
Strategies: Useful for both mean reversion and momentum strategies. It's up to you to decide how this metric will fit into your trading strategy. I currently use this indicator to look for mean reversion setups, but that is due to the current market conditions and my personal trading style.
[TTI] NDR 63-Day QQQ-QQEW ROC% SpreadWelcome to the NDR 63-Day QQQ-QQEW ROC% Spread script! This script is a powerful tool that calculates and visualizes the 63-day Rate of Change (ROC%) spread between the QQQ and QQEW tickers. This script is based on the research conducted by Ned Davis Research (NDR), a renowned name in the field of investment strategy.
⚙️ Key Features:
👉Rate of Change Calculation: The script calculates the 63-day Rate of Change (ROC%) for both QQQ and QQEW tickers. The ROC% is a momentum oscillator that measures the percentage price change over a given time period.
👉Spread Calculation: The script calculates the spread between the ROC% of QQQ and QQEW. This spread can be used to identify potential trading opportunities.
👉Visual Representation: The script plots the spread on the chart, providing a visual representation of the ROC% spread. This can help traders to easily identify trends and patterns.
👉Warning Lines: The script includes warning lines at +600 and -600 levels. These lines can be used as potential thresholds for trading decisions.
Usage:
To use this script, simply add it to your TradingView chart. The script will automatically calculate the ROC% for QQQ and QQEW and plot the spread on the chart. You can use this information to inform your trading decisions.
🚨 Disclaimer:
This script is provided for educational purposes only and is not intended as investment advice. Trading involves risk and is not suitable for all investors. Please consult with a financial advisor before making any investment decisions.
🎖️ Credits:
This script is based on the research conducted by Ned Davis Research (NDR). All credit for the underlying methodology and concept goes to NDR.
Time Series Model IndicatorHello,
I am releasing this time series modelling indicator.
Brief overview of the indicator's functionality:
The Time Series Model indicator is a technical analysis tool that calculates and visualizes a linear regression line based on historical price data. It assesses the trend direction and provides an outer band around the regression line to indicate potential support and resistance levels. The indicator also detects outliers in the price data and calculates correlations between the time variable and the closing price. It offers various customization options such as input length, user-defined hours in advance, display settings for tables and fills, and the ability to show variable correlations. Overall, this indicator aims to help traders identify trends, potential reversals, and price extremes in a given time series.
Specific Functions:
Slope Calculations: The indicator calculates the slope and intercept of the regression line using the specified length of assessment (user defined). It also computes the residuals, standard error of the regression, and the upper and lower bounds of the standard error region. Additionally, it calculates multiple standard deviation bands around the regression line. The slope will change to green if the stock is in an uptrend and to red if the stock is in a downtrend.
Outliers: This feature detects extreme positive and negative outliers based on the z-score calculated from the price data. It highlights the outliers with a red background color to red if this option is selected.
Correlation to Time Assessments: This feature performs trend assessments based on the correlation between time and price data. It identifies uptrends, downtrends, falling trends, rising trends, etc.
Outerband Plots: This feature plots the regression line, standard error bands, and multiple standard deviation bands around the regression line. It also fills the areas between these lines.
Trend Assessment: This feature further assesses the trend based on the strength of the correlation. It identifies strong up or down trends, moderate trends, weak trends, no trend, etc.
Linear Regression Time Data: This section retrieves price data (close, high, low, open) for the specified timeframe and stores them in arrays for a linear regression analysis.
Define LinReg Variables: This section calculates linear regression lines and their upper and lower control limits for the close, low and high prices. It also calculates the correlation between close price and time.
Manual assessments: This feature allows for the manual assessment of time series data. The user can input a look forward for hours in the future and get the predicted price range based on the current time relationship. See image below:
Calculating model "fit": The indicator will display the amount of time the stock closes within and outside its respective bands to ascertain the degree of "fit" (see image below):
Explanations:
The outer cloud: The outer, tealish green cloud represents the regression line + 1.5 standard deviations from the regression line.
The inner cloud: The inner, white coloured cloud represents the immediate time series range calculated through regression of the open, high and low price of the ticker.
Correlations:
The ability of the indicator to calculate correlations on both the smaller and larger timeframes are its strongest feature. You can see the formation of trends by tracking the correlation over the length of the time series model's assessment. You can also track the degree of change. The image below shows the correlation table:
In this image, we can see that the stock is in a moderate downtrend manifested by a correlation of -0.73 (purple arrow).
This downtrend is weakening as manifested by a positive change of 0.05 on the shorter timeframe.
If we scroll down on the table and see the Close, High and Low, we can see that the larger trend over time is a downtrend and that this downtrend is actually strengthening. We know this by the negative change (negative change = significant inverse relationship to time is increasing. i.e. as time increases, the stock price decreases proportionately).
So what does negative correlation to time mean?
If a stock's price exhibits a negative correlation to time, it implies that there is a systematic relationship between the passage of time and the stock's price movement in the opposite direction. This finding could have several potential implications for traders and investors. Firstly, it suggests that the stock's price tends to decrease as time progresses, indicating a downward trend or bearish sentiment. This information might be useful for traders looking to capitalize on short-selling or hedging strategies. Secondly, it could indicate a potential opportunity to predict future price movements based on the timing of negative correlations. By understanding the relationship between time and price, investors may be able to make more informed decisions about when to buy or sell the stock. Lastly, a negative correlation to time may also suggest the influence of external factors or market conditions that systematically impact the stock's performance over time. Therefore, monitoring this correlation can provide insights into broader market dynamics and help investors better understand the stock's behavior.
What about a positive correlation to time?
If a stock's price demonstrates a positive correlation to time, it means that there is a consistent relationship between the passage of time and the stock's price movement in the same direction. This positive correlation to time can have significant implications for traders and investors. Firstly, it indicates a potential upward trend or bullish sentiment, suggesting that the stock's price tends to increase as time progresses. This information can be valuable for investors seeking long-term growth opportunities or looking to capitalize on upward price movements. Secondly, a positive correlation to time may provide insights into the stock's historical performance patterns and help identify potential buying or selling opportunities based on the timing of positive correlations. Additionally, understanding this correlation can aid in assessing the stock's overall trajectory and identifying potential market trends. It's important to note that positive correlation to time does not guarantee future performance, but it can offer valuable information to inform investment decisions.
Because this indicator is pretty big, I have done an overview and tutorial video which I will link below:
As always, please leave your comments and suggestions below.
I thank you for taking the time to read and check out this indicator.
Safe trades everyone and enjoy your weekend!
Cumulative TICK Trend[Pt]Cumulative TICK Trend indicator is a comprehensive trading tool that uses TICK data to define the market's cumulative trend. Trend is shown on ATR EMA bands, which is overlaid on the price chart. Cumulative TICK shown on the bottom pane is for reference only.
Main features of the Cumulative TICK Trend Indicator include:
Selectable TICK Source: You have the flexibility to choose your preferred TICK source from the following options, depending on the market you trade: USI:TICK, USI:TICKQ, USI:TICKI, and USI:TICKA.
TICK Data Type: Select the type of TICK data to use, options include: Close, Open, hl2, ohlc4, hlc3.
Simple Moving Average (SMA): You can choose to apply an SMA on the calculated Cumulative TICK values with a customizable length.
Average True Range (ATR) Bands: It provides the option to display ATR bands with adjustable settings. This includes the ATR period, EMA period, source for the ATR calculation, and the ATR multiplier for the upper band.
Trend Color Customization: You can customize the color of the bull and bear trends according to your preference.
Smooth Line Option: This setting allows you to smooth the ATR Bands with a customizable length.
How it Works:
This indicator accumulates TICK data during market hours (9:30-16:00) as per the New York time zone and resets at the start of a new session or the end of the regular session. This cumulative TICK value is then used to determine the trend.
The trend is defined as bullish if the SMA of cumulative TICK is equal to or greater than zero and bearish if it's less than zero. Additionally, this indicator plots the ATR bands, which can be used as volatility measures. The Upper ATR Band and Lower ATR Band can be made smoother using the SMA, according to the trader's preference.
The plot includes two parts for each trend: a stronger color (Red for bear, Green for bull) when the trend is ongoing, and a lighter color when the trend seems to be changing.
Remember, this tool is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions.
