Volume Accumulation Oscillator (VAO)The Volume Accumulation Oscillator (VAO) is a powerful momentum-based indicator designed to assess the strength of volume accumulation in a given asset. It helps traders identify periods of intense buying or selling pressure and potential trend reversals.
The VAO calculates the Net Volume Accumulation (NVA) by considering the volume, open, close, high, and low prices. It then applies exponential moving averages (EMAs) to smooth the NVA and calculates the VAO by comparing the smoothed NVA with its EMA over a specified signal period.
The VAO is plotted as a line chart, providing a clear visual representation of its values. Positive VAO values indicate strong bullish volume accumulation, suggesting potential upward price movement. Conversely, negative VAO values indicate significant selling pressure and the possibility of a downtrend.
To enhance the analysis, the indicator includes reference levels such as the zero line and +/-1 levels. These levels serve as important reference points for interpreting the VAO values and identifying key turning points in the market.
Additionally, the VAO histogram is included, which further illustrates the strength and direction of volume accumulation. The histogram bars are color-coded, with green bars representing positive VAO values and red bars representing negative VAO values.
The Volume Accumulation Oscillator is a versatile tool that can be used in various trading strategies. Traders can look for divergences between the VAO and the price chart to identify potential trend reversals. Combining the VAO with other technical analysis techniques can provide valuable insights into market dynamics and help traders make informed trading decisions.
Note: It is recommended to customize the indicator's parameters and conduct thorough backtesting to align it with your specific trading strategy and preferences before using it for live trading.
Disclaimer: This indicator is provided for educational and informational purposes only. Trading involves risks, and it is important to exercise caution and conduct your own analysis before making any investment decisions.
M-oscillator
David Varadi Intermediate OscillatorThe David Varadi Intermediate Oscillator (DVI) is a composite momentum oscillator designed to generate trading signals based on two key factors: the magnitude of returns over different time windows and the stretch, which measures the relative number of up versus down days. By combining these factors, the DVI aims to provide a reliable and objective assessment of market trends and momentum.
Methodology:
To calculate the DVI, a specific formula is applied. The magnitude component involves averaging smoothed returns over various lengths, weighted according to user-defined parameters. This calculation helps determine the magnitude of price changes. The stretch component follows a similar process, averaging smoothed returns over different lengths to gauge market momentum. Users have the flexibility to adjust the weights and lengths to suit their trading preferences and styles.
Utility:
The DVI offers versatility in its applications. It can be used for both momentum trading and trend analysis due to its smooth and consistent signals. Unlike some other oscillators, the DVI provides longer and uncorrelated signals, allowing traders to effectively combine trend-following and mean-reversion strategies. For example, the DVI is adept at identifying overbought levels above the 200-day moving average, serving as a useful tool for determining exit points during price strength and even potential shorting opportunities. Traders can develop simple trading systems based on the DVI, buying above the 200-day moving average and selling when the DVI exceeds a specified threshold. Conversely, they can consider short positions below the 200-day moving average and cover when the DVI falls below a specific threshold. The DVI's objective approach to analyzing market momentum makes it a valuable resource for traders seeking to identify trading opportunities.
Key Features:
Bar coloring: based on Trend, Extremeties or Reversions
Reversions: Potential reversal points marked with triangles above\below oscillator
Extremity Hues: Highlighting oxcillator reaching traditional OB\OS levels
Example Charts:
Ichimoku Z-Score Stochastic Oscillator with Kumo Depth Analysis---
Ichimoku Z-Score Stochastic Oscillator with Kumo Depth Analysis
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Script Overview
Welcome to the Advanced Ichimoku Z-Score Stochastic Oscillator with Kumo Depth Analysis. This unique strategy is designed to provide a comprehensive, multi-timeframe trading view by leveraging the Ichimoku Cloud, Z-Score, Stochastic Oscillator, and an innovative implied volatility measure – the Kumo Depth. By integrating these powerful tools into one script, traders can make more informed decisions by considering trend strength, volatility, and volume in one holistic view.
Rationale & Strategy
The script was created with the rationale that trading decisions should not only be based on price action and volume, but also on market trend strength and implied volatility. The script integrates these various elements:
The Ichimoku Cloud, a versatile indicator that provides support and resistance levels, trend direction, and momentum all at once.
The Z-Score, a statistical measurement of a value's relationship to the mean (average) of a group of values.
The Stochastic Oscillator, a momentum indicator that uses support and resistance levels to determine probable trend reversals.
The Kumo Depth Analysis, an innovative measure of implied volatility and market trend strength derived from the thickness of the Ichimoku Cloud.
How It Works
This script works by providing visual buy and sell signals based on the confluence of the aforementioned tools.
Ichimoku Cloud and Z-Score: The script first calculates the Ichimoku Cloud lines for both a higher and lower timeframe and measures how much current prices deviate from the cloud using Z-Score.
Stochastic Oscillator: This Z-Score is then inputted into a Stochastic Oscillator, thus giving the oscillator a more normalized range.
Kumo Depth Analysis: Simultaneously, the thickness of the Ichimoku Cloud (Kumo) is calculated as an implied volatility indicator. This depth is normalized and used as a filter to ensure we are trading in a market with substantial trend strength.
Signals: Buy and sell signals are triggered based on the crossover and crossunder of the Stochastic Oscillator lines. Signals are then filtered based on their location relative to the Ichimoku Cloud (price should be above the cloud for buy signals and below for sell signals) and the normalized Kumo Depth.
How to Use
Signal Types: The script provides both strong and weak signals. Strong signals are accompanied by high volume, while weak signals are not. Strong buy signals are indicated with a green triangle at the top, strong sell signals with a red triangle at the bottom. Weak signals are shown as blue and yellow circles, respectively.
Trend Strength: The trend strength is shown by the normalized Kumo Depth. The greater the Kumo Depth, the stronger the trend.
Timeframes: You can customize the timeframes used for the calculations in the input settings.
Adjustments: Users can adjust parameters such as the Ichimoku settings, Stochastic Oscillator settings, timeframes, and Kumo Depth settings to suit their trading style and the characteristics of the asset they are trading.
This script is a complete trading strategy tool providing multi-timeframe, trend-following, and volume-based signals. It's best suited for traders who understand the concepts of trend trading, stochastic oscillators, and volatility measures and want to incorporate them all into one powerful, comprehensive trading strategy.
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.
Correlation index and liquidityAn indicator with which you can easily compare any ticker with the ones offered.
You can choose any of the tags that are offered in the options
You can also create your own ticker if you select the Custom in Mode option.
If the comparison mode is enabled, the current ticker you are viewing is divided by the ticker selected in the indicator.
For example, if you have the EURUSD ticker open. And the EURUSD indicator is selected in the option in the indicator. Then you will get the EURUSD correlation index with other currency pairs that are correlated, for example GBPUSD+NZDUSD+AUDUSD. This means that you can now see the common index of those three pairs in relation to the EURUSD.
Custom index for major currency, example GBP have index of GBPUSD+GBPAUD+GBPJPY+GBPNZD+GBPCHF. This means that you can now see the common index of those pairs in relation to the GBP.
This script is unique because it requires the optimal combination of pairs needed for each pair specifically, which I came to during many years of studying the forex market so the source code of the script have to remain hidden.
If you are a beginerr, you can just apply simple trend-breakout strategy after you spot the divergence.
For advanced traders, you can use this together with ICT's and SMC concepts as a confirmation upon your entry.
Please comment if you like it!
CRYPTO DIVERGENCE FINDERThis indicator allows you to easily compare any ticker you're looking at with the ones I've found to work best over many years of studying the crypto market. For these reasons, the code of the script is hidden because that is exactly what makes it unique.
You can choose any cryptocurrency, but I recommend using only perpetuals on 'BINANCE' exchange.
If the comparison mode is enabled, the current ticker you are viewing is divided by the ticker selected in the indicator.
For example, if you are watching "SOLUSDT.P" you should open the settings of the indicator and write "SOLUSDT.P" in the ticker field. Then you will get the SOLUSDT.P correlation index with other crypto and currency pairs that are correlated (like I already said this is something that is product of many years of studying this market and this is exactly what is unique about the code so the source of the script have to stay protected).
If you are a beginer, you can just apply simple trend-breakout strategy after you spot the divergence.
For advanced traders, you can use this together with ICT's and SMC concepts as a confirmation upon your entry.
Composite MomentumComposite Momentum Indicator - Enhancing Trading Insights with RSI & Williams %R
The Composite Momentum Indicator is a powerful technical tool that combines the Relative Strength Index (RSI) and Williams %R indicators from TradingView. This unique composite indicator offers enhanced insights into market momentum and provides traders with a comprehensive perspective on price movements. By leveraging the strengths of both RSI and Williams %R, the Composite Momentum Indicator offers distinct advantages over a simple RSI calculation.
1. Comprehensive Momentum Analysis:
The Composite Momentum Indicator integrates the RSI and Williams %R indicators to provide a comprehensive analysis of market momentum. It takes into account both the strength of recent price gains and losses (RSI) and the relationship between the current closing price and the highest-high and lowest-low price range (Williams %R). By combining these two momentum indicators, traders gain a more holistic view of market conditions.
2. Increased Accuracy:
While the RSI is widely used for measuring overbought and oversold conditions, it can sometimes generate false signals in certain market environments. The Composite Momentum Indicator addresses this limitation by incorporating the Williams %R, which focuses on the price range and can offer more accurate signals in volatile market conditions. This combination enhances the accuracy of momentum analysis, allowing traders to make more informed trading decisions.
3. Improved Timing of Reversals:
One of the key advantages of the Composite Momentum Indicator is its ability to provide improved timing for trend reversals. By incorporating both RSI and Williams %R, traders can identify potential turning points more effectively. The Composite Momentum Indicator offers an early warning system for identifying overbought and oversold conditions and potential trend shifts, helping traders seize opportunities with better timing.
4. Enhanced Divergence Analysis:
Divergence analysis is a popular technique among traders, and the Composite Momentum Indicator strengthens this analysis further. By comparing the RSI and Williams %R within the composite calculation, traders can identify divergences between the two indicators more easily. Divergence between the RSI and Williams %R can signal potential trend reversals or the weakening of an existing trend, providing valuable insights for traders.
5. Customizable Moving Average:
The Composite Momentum Indicator also features a customizable moving average (MA), allowing traders to further fine-tune their analysis. By incorporating the MA, traders can smooth out the composite momentum line and identify longer-term trends. This additional layer of customization enhances the versatility of the indicator, catering to various trading styles and timeframes.
The Composite Momentum Indicator, developed using the popular TradingView indicators RSI and Williams %R, offers a powerful tool for comprehensive momentum analysis. By combining the strengths of both indicators, traders can gain deeper insights into market conditions, improve accuracy, enhance timing for reversals, and leverage divergence analysis. With the added customization of the moving average, the Composite Momentum Indicator provides traders with a versatile and effective tool to make more informed trading decisions.
Liquidity Channel with B/SIndicator - Liquidity Level
Which calculates the liquidity levels based on the highest high and lowest low of the specified period. It determines the middle line, upper line, and lower line of the liquidity channel. The liquidity level is the average of the upper and lower lines, and the liquidity level distance is half of the difference between the upper and lower lines.
Here, the code determines if the conditions for overbought and oversold signals are met. It compares the current closing price with the previous opening price to determine the color of the bar (red or green). If the conditions are met and the bar color matches the expected direction (red for overbought and green for oversold), the respective signals are triggered.
The code plots buy and sell signals on the chart using shape labels. It displays "Buy" labels below the bars for buy signals and "Sell" labels above the bars for sell signals. Additionally, it colors the bars in gray. The code also sets up alert conditions to send notifications when buy or sell signals occur.
*************** Please note that this is a high-level overview of the code's functionality. The specific details and calculations may vary based on the parameters and settings provided in the code.
*************** Remember, trading involves risks, and it's important to thoroughly test any strategy and consider risk management principles before using it in live trading. It's recommended to consult with a knowledgeable financial advisor or professional trader for guidance and assistance in developing and implementing trading strategies.
***************Happy trading..
I will try to share my most commonly used strategies with you as much as possible. For this, you can follow me as a source of motivation, and if you like the indicators, you can give me a rocket to make me happy, my friends! :))
[DisDev] Tactical Analysis Part III: Oscillators🟩 Introducing the Oscillators Indicator by Disruptive Developers, a revolutionary tool designed to enhance your trading strategy. This indicator is the third part of our Tactical Analysis suite, combining two oscillator indicators to provide you with a comprehensive view of market conditions.
⚡ OVERVIEW ⚡
Key Features 🔑
Combines TDI Pro - Traders Dynamic Indicator by Dean Malone and WTO - Wave Trend Oscillator
Includes MFI - Money Flow Index and MACD - Moving Average Convergence Divergence
Incorporates VWAP - Volume Weighted Average Price
Benefits 💸
Enhances trading strategy by providing comprehensive market insights
Helps determine overbought or oversold conditions in ranging markets
Assists in identifying important entry and exit points
⚙️ CONFIGURATION & SETTINGS ⚙️
Inputs 🔧
Green / Red = The RSI Price-Line (Current Price Sentiment)
Dark Red = The Signal Line (Crossover for Entry & Exit)
Yellow = Market Base Line (Overall Sentiment)
Blue = Volatility Bands (Increasing/Decreasing Volatility)
Alerts 🔔
TDI Cross Short/Long Alerts
TDI MBL Cross Short/Long Alerts
TDI Hook Short/Long Alerts
💡 USAGE & STRATEGY 💡
Trading Strategies 📈
Look for regular and hidden divergences
Identify entries and exits based on crosses with Price-Line
Align trades with market sentiment
Timeframes and Symbols ⌚
Suitable for all timeframes and symbols
Optimized for Forex trading but applicable to all markets
🤖 DETAILS & METHODOLOGY 🤖
Algorithm and Calculation 🛡️
Based on the TDI indicator created by Dean Malone
Incorporates RSI, Signal Line, Market Base Line, and Volatility Bands
Signals for regular and hidden divergences
📚 ADDITIONAL RESOURCES 📚
Tutorials and Guides 📖
Detailed user manual available on our website
Video tutorials for setup and usage
Discord community forum for user discussions and tips
Visit our website for additional information, videos and pdf’s, link can be found below.
Chart Examples 📊
Trader’s Dynamic Index (TDI): Overbought/Oversold Signals
WaveTrend/Moneyflow/VWAP (WMV) Overbought/Oversold Signals
Tactical Analysis Indicator Suite. Parts I, II, and III.
🚀 CONCLUSION 🚀
In conclusion, the Tactical Analysis Part III: Oscillators indicator by Disruptive Developers is a powerful tool that combines multiple oscillators to provide a comprehensive view of market conditions. It is designed to enhance your trading strategy and help you make more informed trading decisions.
Access Parts I and II here:
Tactical Analysis Part I: High-Volume Recovery
Tactical Analysis Part II: Levels
⚠️ DISCLAIMER ⚠️
This indicator is provided as a tool for traders and should not be used as the sole basis for making trading decisions. Always conduct your own research and consider your risk tolerance before entering any trades.
Stochastic Distance Indicator [CC]The Stochastic Distance Indicator was created by Vitali Apirine (Stocks and Commodities Jun 2023 pgs 16-21), and this is a new method that measures the absolute distance between a price and its highest and lowest values over a long period. It uses the stochastic formula to create an oscillator using this distance value and smooths the value. Obviously, there is a lag in signals due to the lookback periods, but it does a good job of staying above the midline when the stock is in a strong uptrend and vice versa. Of course, I'm open to suggestions, but I'm deciding to create buy and sell signals based on comparing the unsmoothed and smoothed values. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Risk-Adjusted Return OscillatorThe Risk-Adjusted Return Oscillator (RAR) is designed to aid traders in predicting future price action by analysing the risk-adjusted performance of an asset. This oscillator is displayed directly on the price chart, unlike other oscillators.
By considering the risk-return relationship, the indicator helps identify periods of overvaluation or undervaluation, allowing traders to anticipate potential price reversals or trend accelerations.
HOW TO USE
The Risk-Adjusted Return Oscillator analyses the risk-adjusted performance of an asset to detect price reversals and accelerations. Here's how to interpret its signals:
Ranging Market:
Overbought Signal: When the RAR curve reaches the overbought level (upper red line), it suggests a potential reversal signal. It indicates that the asset may be overvalued, and a price correction or trend reversal could occur.
Oversold Signal: When the RAR curve reaches the oversold level (lower red line), it indicates a potential reversal signal. It suggests that the asset may be undervalued, and a price correction or trend reversal could take place.
Trending Market:
Overbought Signal: In a trending market, an overbought signal (RAR curve reaching upper red line) suggests trend acceleration. It indicates that the existing trend is gaining strength, and buying pressure is increasing.
Oversold Signal: In a trending market, an oversold signal (RAR curve reaching lower red line) also signifies trend acceleration. It suggests that the prevailing trend is intensifying, and selling pressure is increasing.
Thus, it's important to consider the market context when interpreting overbought and oversold signals. In ranging markets, these signals act as potential reversal points. However, in trending markets, they indicate trend acceleration, reinforcing the current price direction.
SETTINGS
Period Length: Adjust the number of bars used to calculate returns and standard deviation.
Smoothing: Define the smoothing period for the RAR curve.
Show Overbought/Oversold Signals: Choose whether to display triangular shapes for overbought and oversold conditions.
HK Percentile Interpolation One
This script is designed to execute a trading strategy based on Heikin Ashi candlesticks, moving averages, and percentile levels.
Please note that you should keep your original chart in normal candlestick mode and not switch it to Heikin Ashi mode. The script itself calculates Heikin Ashi values from regular candlesticks. If your chart is already in Heikin Ashi mode, the script would be calculating Heikin Ashi values based on Heikin Ashi values, which would produce incorrect results.
The strategy begins trading from a start date that you can specify by modifying the `startDate` parameter. The format of the date is "YYYY MM DD". So, for example, to start the strategy from January 1, 2022, you would set `startDate = timestamp("2022 01 01")`.
The script uses Heikin Ashi candlesticks, which are plotted in the chart. This approach can be useful for spotting trends and reversals more easily than with regular candlestick charts. This is particularly useful when backtesting in TradingView's "Rewind" mode, as you can see how the Heikin Ashi candles behaved at each step of the strategy.
Buy and sell signals are generated based on two factors:
1. The crossing over or under of the Heikin Ashi close price and the 75th percentile price level.
2. The Heikin Ashi close price being above certain moving averages.
You have the flexibility to adjust several parameters in the script, including:
1. The stop loss and trailing stop percentages (`stopLossPercentage` and `trailStopPercentage`). These parameters allow the strategy to exit trades if the price moves against you by a certain percentage.
2. The lookback period (`lookback`) used to calculate percentile levels. This determines the range of past bars used in the percentile calculation.
3. The lengths of the two moving averages (`yellowLine_length` and `purplLine_length`). These determine how sensitive the moving averages are to recent price changes.
4. The minimum holding period (`holdPeriod`). This sets the minimum number of bars that a trade must be kept open before it can be closed.
Please adjust these parameters according to your trading preferences and risk tolerance. Happy trading!
Output7The "Output7" indicator is designed to guide traders in identifying potential buy and sell signals. This is achieved through the calculation of a custom indicator named `output7` and its derived moving averages. `output7` is defined as `c_1 - c_20 * (ohlcSq / hlSq)`. Here, `ohlcSq` stands for the square of the average of open, high, low, and close prices, while `hlSq` signifies the square of the average of high and low prices. `c_20` and `c_1` correspond to the closing price 20 periods ago and the current closing price, respectively.
**Interpreting the Indicator:**
**1. Support and Resistance**: This indicator calculates the support and resistance levels for the `output7` over a predefined lookback period. These levels are essential in the identification of potential price reversals in the market. When the `output7` line approaches or crosses these levels, it may suggest significant market shifts.
**2. Moving Averages of `output7`**: The indicator also generates short-term (5 periods by default) and long-term (10 periods by default) simple moving averages (SMAs) of the `output7` value. These SMAs can be helpful in determining market trends. When the short-term SMA lies above the long-term SMA, it indicates an upward trend. Conversely, when it falls below, it suggests a downward trend.
**3. Buy and Sell Signals**: The Output7 indicator generates two types of buy and sell signals based on the crossover of different moving averages. Yellow signals are produced when the simple moving average of close prices (7 periods by default) crosses the exponential moving average of close prices (14 periods by default). The blue signals are generated when the short-term SMA of `output7` crosses the long-term SMA of `output7`.
It is important to note that like all technical analysis tools, the Output7 indicator should not be used in isolation. Instead, it should be combined with other forms of analysis and indicators to validate its signals and minimize the likelihood of false signals. Factors such as the overall market trend, price patterns, volume, and fundamental analysis can provide additional context to the signals provided by the Output7 indicator. The interpretation of these signals should align with a trader's overall trading strategy, risk tolerance, and financial goals.
And finally. If you discover something else regarding this indicator. Please let me know in the comment section.
Comparison with BTC (RSI)显示当前品种与BTC汇率对的RSI值
以此判断强势或弱势品种以及超买超卖
——————————
Display the RSI value of the exchange rate between the current variety and BTC
Use this to determine strong or weak varieties, as well as overbought and oversold
RAM StrategyThe name RAM originated because of three popular technical indicators Relative Strength Index (RSI), Average True Range (ATR), and Moving average convergence/divergence were used all together to create three conditions individually first and once all three conditions meet at once then we considered a potential opportunity either for buy or sell and produce signals. Before we dive into how the strategy work let's clarify all the 3 indicators which has been used.
RSI (Relative Strength Index):
The RSI is a popular indicator used to assess the overbought and oversold conditions of a financial instrument. It measures the speed and change of price movements.
Overbought Level: The RSI Overbought Level is set to 65, indicating that when the RSI goes above this level, it suggests that the instrument may be overbought or overvalued.
Oversold Level: The RSI Oversold Level is set to 35, indicating that when the RSI goes below this level, it suggests that the instrument may be oversold or undervalued.
ATR (Average True Range):
The ATR is a volatility indicator that measures the average range between the high and low prices of a financial instrument. It provides insight into market volatility. There is an ATR calculation and ATR Simple Moving Average calculation done in the script which provides insights into market volatility. By comparing the current ATR value to its SMA, this indicator takes into consideration the volatility conditions while generating trading signals, aiming to capture potential price movements during periods of increased volatility.
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following momentum indicator that helps identify potential trend reversals. It consists of two lines: the MACD Line and the Signal Line.
MACD Line: The MACD Line represents the difference between the short-term and long-term moving averages. Crossovers of the MACD Line above the Signal Line indicate potential buying opportunities.
Signal Line: The Signal Line is a moving average of the MACD Line. Crossovers of the MACD Line below the Signal Line indicate potential selling opportunities and crossovers of the MACD line above the signal line indicate potential buying opportunities.
Trading Strategy:
Buy Signal: A buy signal is generated when the RSI is below the oversold level, the ATR is higher than its Simple Moving Average (indicating higher volatility), and there is a bullish crossover of the MACD Line above the Signal Line.
Sell Signal: A sell signal is generated when the RSI is above the overbought level, the ATR is higher than its Simple Moving Average (indicating higher volatility), and there is a bearish crossover of the MACD Line below the Signal Line.
The plot shapes function is used to visually represent the buy and sell signals on the price chart. Green "BUY" labels are displayed below the price bars for buy signals, while red "SELL" labels are displayed above the price bars for sell signals.
This strategy aims to identify potential buying and selling opportunities based on the combination of RSI, ATR, and MACD indicators. However, please note that the effectiveness and profitability of the strategy may vary depending on market conditions and individual trading preferences.
*Disclaimer*
Trading involves risk. Also, clarify that past performance is not indicative of future results and that individuals should only trade with the capital they can afford to lose.
SPX-40 % PMO Above Zero [bluesky]█ OVERVIEW
The "SPX-40 % PMO Above Zero" script analyzes market breadth based on the percentage of stocks within the SPX-40 subset with a Positive Momentum Oscillator (PMO) value greater than or equal to zero. It provides insights into the strength and breadth of positive momentum signals, aiding traders in making informed decisions.
█ CONCEPTS
This script evaluates the percentage of stocks within the SPX-40 subset that have a PMO value above zero. By calculating this percentage, the script identifies periods of broad positive momentum and potential trading opportunities.
█ CALCULATION
The script calculates the percentage of stocks with a PMO value above zero within the SPX-40 subset. It uses the PMO values of individual stocks to assess market breadth and determine the strength of positive momentum signals.
█ HOW TO USE IT
- Timeframe: Optimize the script for different timeframes to analyze market breadth effectively.
- Market Breadth Analysis: The script displays the percentage of SPX-40 stocks with a PMO value above zero, indicating the strength of positive momentum signals across the subset.
- Trend Identification: Monitor changes in the percentage of stocks above zero to identify shifts in market breadth and trends.
- Risk Management: Consider the breadth of positive momentum signals when setting stop-loss levels or evaluating overall market conditions.
█ ADDITIONAL OPTIONS
- This script offers additional options to enhance analysis and customization, including the usage of two exponential moving averages (fast and slow) for additional insights into momentum trends.
- Background colors for EMA crossovers can be visualized using customizable options, aiding in trend identification.
- The Heikin Ashi candles option can be enabled for a different perspective on price movements.
█ FLEXIBILITY AND ADAPTABILITY
It's important to note that the default selection of 40 stocks within the SPX-40 subset may need adjustment over time as market dynamics change. Traders have the flexibility to modify the list of stocks to reflect the current market conditions and ensure the script's relevance and accuracy. Please review and update the list periodically to maintain the effectiveness of the analysis.
█ DISCLAIMER
Trading involves risks, and past performance is not indicative of future results. The "SPX-40 % PMO Above Zero" script is a tool designed to assist traders in analyzing market breadth and positive momentum signals. It should be used in conjunction with sound risk management practices and a comprehensive trading strategy. Traders are encouraged to perform their due diligence, exercise caution, and adapt the script to their individual trading preferences and requirements.
Please note that this script does not make any claims of guaranteed profitability or provide investment advice. Always consult with a qualified financial professional before making any investment decisions.
SPX-Sectors % PMO Above Zero [bluesky]█ OVERVIEW
The "Subsector-11 % PMO Above Zero" script analyzes market breadth based on the percentage of 11 user-adjustable subsector ETFs of the S&P 500 with a Positive Momentum Oscillator (PMO) value greater than or equal to zero. It provides insights into the strength and breadth of positive momentum signals within specific subsectors, aiding traders in making informed decisions.
█ CONCEPTS
This script utilizes the PMO values of the 11 user-adjustable subsector ETFs of the S&P 500 to assess market breadth. By calculating the percentage of subsector ETFs with a PMO value above zero, it identifies periods of broad positive momentum and potential trading opportunities within those specific sectors.
█ PMO (Positive Momentum Oscillator)
Developed by Carl Swenlin, the PMO is an oscillator based on a Rate of Change (ROC) calculation that is smoothed twice with exponential moving averages using a custom smoothing process. The PMO is normalized, allowing it to be used as a relative strength tool. Traders can rank subsector ETFs based on their PMO values as an expression of relative strength.
█ CALCULATION
The script calculates the percentage of subsector ETFs with a PMO value above zero based on the provided PMO values of the 11 user-adjustable subsector ETFs. It uses custom smoothing functions similar to Exponential Moving Averages (EMAs) to derive the PMO values.
█ HOW TO USE IT
- Timeframe: Optimize the script for different timeframes to analyze market breadth effectively within specific subsectors.
- Subsector Analysis: The script displays the percentage of subsector ETFs within the 11 user-adjustable subsectors of the S&P 500 with a PMO value above zero, indicating the strength of positive momentum signals within those subsectors.
- Trend Identification: Monitor changes in the percentage of subsector ETFs above zero to identify shifts in market breadth and trends.
- Risk Management: Consider the breadth of positive momentum signals within specific subsectors when setting stop-loss levels or evaluating overall market conditions.
█ ADDITIONAL OPTIONS
This script offers additional options to enhance analysis and customization:
- Candle Style: Choose from different candle styles such as Heikin Ashi, Three Line Break, Candles, or Line for chart visualization.
- PMO Settings: Adjust the lengths of the PMO calculation and signal length according to your trading preferences.
- Moving Average Settings: Incorporate the usage of fast and slow exponential moving averages (EMAs) for additional insights into momentum trends.
█ FLEXIBILITY AND ADAPTABILITY
The script allows traders to adjust the subsector ETF names according to their specific requirements. Please review and update the list of subsector ETFs periodically to reflect the desired sectors for analysis and ensure the script's relevance and accuracy.
█ DISCLAIMER
Trading involves risks, and past performance is not indicative of future results. The "Subsector-11 % PMO Above Zero" script is a tool designed to assist traders in analyzing market breadth and positive momentum signals within specific subsectors. It should be used in conjunction with sound risk management practices and a comprehensive trading strategy. Traders are encouraged to perform their due diligence, exercise caution, and adapt the script to their individual trading preferences and requirements.
Please note that this script does not make any claims of guaranteed profitability or provide investment advice. Always consult with a qualified financial professional before making any investment decisions.
Probability Trend IndicatorUnderstanding the Indicator:
The indicator calculates the probabilities of upward and downward trends based on the percentage change in price over a specified lookback period.
It displays these probabilities in a table and plots a histogram to represent the difference between the probabilities.
The colors of the histogram bars indicate the trend direction and whether the trend is increasing or decreasing.
Setting the Lookback Period:
The indicator allows you to specify the lookback period, which determines the number of bars to consider for calculating the probabilities.
By default, the lookback period is set to 50 bars. However, you can adjust it based on your trading preferences and the timeframe you're analyzing.
Analyzing the Probabilities:
The indicator calculates the probabilities of upward and downward trends and displays them in a table on the chart.
The probabilities are presented as percentages, representing the likelihood of each type of trend occurring.
You can use these probabilities to gain insights into the potential market direction and assess the strength of the prevailing trend.
Interpreting the Histogram:
The histogram is plotted based on the difference between the probabilities of upward and downward trends, known as the oscillator value.
The histogram bars are colored to provide visual cues about the trend direction and whether the trend is gaining or losing strength.
Green bars indicate upward trends, and red bars indicate downward trends.
Lighter shades of green or red suggest increasing trends, while darker shades suggest decreasing trends.
Making Trading Decisions:
The indicator serves as a tool for assessing the probabilities of trends and can be used alongside other technical analysis methods.
You can consider the probabilities, the histogram pattern, and the overall market context to make informed trading decisions.
It's important to remember that no indicator or tool can guarantee future market movements, so prudent risk management and additional analysis are essential.
RSI Primed [ChartPrime]
RSI Primed combines candlesticks, patterns, and the classic RSI indicator for advanced market trend indications
Introduction
Technical traders are always looking for innovative methods to pinpoint potential entry and exit points in the market. The RSI Prime indicator provides such traders with an enhanced view of market conditions by combining various charting styles and the Relative Strength Index (RSI). It offers users a unique perspective on the market trends and price momentum, enabling them to make better-informed decisions and stay ahead of the market curve.
The RSI Primed is a versatile indicator that combines different charting styles with the Relative Strength Index (RSI) to help traders analyze market trends and price momentum. It offers multiple visualization modes that serve specific purposes and provide unique insights into market performance:
Regular Candlesticks
Candlesticks with Patterns
Heikin Ashi Candles
Line Style
Regular Candlestick Mode
The Regular Candlestick Mode in RSI Primed depicts traditional Japanese candlesticks that most traders are familiar with. This mode bypasses any smoothing or modified calculations, representing real-price movements. Regular candlesticks offer a clear and straightforward way to visualize market trends and price action.
Candlestick with Patterns Mode
The Candlestick with Patterns Mode focuses on identifying high-probability candlestick patterns while incorporating RSI values. By leveraging the information captured by the RSI, this mode allows traders to spot significant market reversals or continuation patterns that could signal potential trading opportunities. Some recognizable patterns include engulfing bullish, engulfing bearish, morning star bullish, and evening star bearish patterns.
Heikin Ashi Candles Mode
The Heikin Ashi Candles Mode presents an advanced candlestick charting technique known for its excellent trend-following capabilities. Heikin Ashi Candles filter out noise in the market and provide a clear representation of market trends. In this mode, candlesticks are plotted based on RSI values of the open, high, low, and close prices, helping traders understand and utilize market trends effectively.
Line Style Mode
The Line Style Mode offers a simpler and minimalistic representation of the RSI values by using a line instead of candlesticks to visualize market trends. This mode helps traders focus on the overall trend direction and eliminates potential distractions caused by the complexity of candlestick patterns.
Candle Color Overlay Mode
The Candle Color Overlay Mode is a unique feature in the RSI Primed indicator that allows traders to visualize the RSI values on the chart's candles as a heat gradient. This mode adds a color overlay to the candlesticks, representing the RSI values in relation to the candlesticks' price action.
By displaying the RSI as a color gradient, traders can quickly assess market momentum and identify overbought or oversold conditions without having to switch between different modes or charts. The gradient ranges from cool colors (blue and green) for lower RSI values, indicating oversold conditions, to warm colors (orange and red) for higher RSI values, signifying overbought situations.
To enable the Candle Color Overlay Mode, traders can toggle the "Color Candles" option in the indicator settings. Once enabled, the color gradient will be applied to the candlesticks on the chart, providing a visually striking and informative representation of the RSI values in relation to price action. This mode can be used in tandem with any of the other charting styles, allowing traders to gain even more insights into market trends and momentum.
RSI Primed Implementation
The RSI Primed indicator combines the benefits of various charting styles with the RSI to help traders gain a comprehensive view of market trends and price momentum. It incorporates the Heikin Ashi and RSI values as inputs to generate several visualization modes, enabling traders to select the one that best suits their needs.
Chebyshev Digital Audio Filter in RSI Primed Indicator
A unique feature of the RSI Primed Indicator is the incorporation of the Chebyshev Digital Audio Filter, a powerful tool that significantly influences the indicator's accuracy and responsiveness. This signal processing method brings several benefits to the context of the RSI indicator, improving its performance and capabilities.
1. Improved Signal Filtering
The Chebyshev filter excels in its ability to remove high-frequency noise and unwanted signals from the RSI data. While other filtering techniques might introduce unwanted side effects or distort the RSI data, the Chebyshev filter accurately retains the main signal components, enhancing the RSI Primed's overall accuracy and reliability.
2. Faster Response Time
The Chebyshev filter offers a faster response time than most other filtering techniques. In the context of the RSI Primed Indicator, this means that the filtering process is quicker and more efficient, allowing traders to act swiftly during rapidly changing market conditions.
3. Enhanced Trend Detection
By effectively removing noise from the RSI data, the Chebyshev filter contributes to the enhanced detection of underlying market trends. This feature helps traders identify potential entry and exit points more accurately, improving their overall trading strategy and performance.
How to Use RSI Primed
Traders can choose from different visualization modes to suit their preferences while using the RSI Primed indicator. By closely monitoring the chosen visualization mode and the position of the moving average, traders can make informed decisions about market trends.
Green candlesticks or an upward line slope indicate a bullish trend, and red candlesticks or a downward line slope suggest a bearish trend. If the candles or line are above the moving average, it could signify an uptrend, whereas a position below the moving average may indicate a downtrend.
The RSI Primed indicator offers a unique and comprehensive perspective on market trends and price momentum by combining various charting styles with the RSI. Traders can choose from different visualization modes and make well-informed decisions to capitalize on market opportunities. This innovative indicator provides a clear and concise view of the market, enabling traders to make swift decisions and enhance their trading results.
D-BoT Alpha ReversalsHello traders, today I'm going to share with you a strategy that I use very frequently. I wanted to share this strategy that I use in my manual trades by translating it into code. I'm sharing it with you with completely open source code.
RSI of ROC: The indicator initially calculates RSI (Relative Strength Index) on ROC (Rate of Change). This is a method that tracks the rate of price change (ROC) over a certain period and applies it to the RSI calculation.
Adaptive RSI: The code then calculates the RSI for all periods between the minimum and maximum RSI lengths. It takes the average of these calculations and names it as avg_rsi66. In addition, it checks whether each RSI value exceeds the determined overbought and oversold limits.
Signal Triggers: If both RSI of ROC and avg_rsi66 are above or below the specified overbought or oversold levels and the difference between these two values is less than the specified threshold value (Extremities Sensitivity), a signal is triggered. In addition, the color of the bar is also checked: An overbought (sell) signal is triggered for a red bar and an oversold (buy) signal is triggered for a green bar.
Signal Visualization: Signals are shown on the chart at appropriate places with "Sell" or "Buy" shapes. Also, each of these conditions is defined as an alert condition.
The general purpose of this indicator is to determine the turning points of the market. Overbought and oversold signals are based on the idea that the price may turn from these areas. That is, a "Sell" signal indicates a turning point where the price may start to fall, while a "Buy" signal indicates a turning point where the price may start to rise.
These types of indicators usually have some weak points:
False Signals: Like any kind of technical analysis indicator, this indicator can also give false signals. That is, you may get a "Buy" or "Sell" signal but the price may not move in the expected direction.
Market Conditions: This indicator may perform better under certain market conditions. For example, a trend-following indicator usually works well in trending markets, but can be misleading in range-bound markets. This indicator too can perform better or worse in a particular market situation.
Parameter Selection: The choice of the parameters of the indicator (ROC and RSI lengths, overbought/oversold levels, etc.) can significantly affect the quality of the indicator signals. Parameters should be optimized for various assets and time frames.
In conclusion, it would be better to use this indicator not as a standalone trading system, but in conjunction with other technical analysis tools or fundamental analysis. Also, it is always beneficial to test a new trading strategy on past data or on a demo account before trading with real money."
Stay tuned for more of my original strategies :)
Happy trading...
Stochastic [Tcs] | OSCThis script is an implementation of the stochastic relative strength index (STOCH RSI) indicator
The script takes inputs from the length of the RSI, the source of the data, and parameters for the smoothing of the STOCH RSI.
The STOCH RSI is calculated by first calculating the RSI of the chosen source data, then smoothing it with an exponential moving average. The stochastic oscillator is then applied to the smoothed RSI, and smoothed again to create the final STOCH RSI.
The script also calculates a trigger value using a combination of the STOCH RSI and a volume-weighted moving average. It then plots the STOCH RSI, trigger value, and overbought/oversold levels, and fills the background of the plot based on the relationship between the trigger and STOCH RSI values.
Finally, the script plots buy and sell signals based on crossovers and crossunders of the STOCH RSI and its smoothed version.
The cross signal is stronger than the dots, in both direction and usually the best entries happen when two crosses signal on the level 0(long) or 100(short) appear after a dot signal.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
Oscillator pack [Tcs] | OSCThese oscillators are a reinterpretation of some of the most famous indicators for traders, with the scope to provide higher accuracy and better readability.
The improvements are based on both calculation and visual impact, with calculations incorporating not only price but also tick volume to enhance signal accuracy.
All oscillators can be applied to different timeframes than the chart being analyzed.
This indicator includes three different oscillators: TCS Stochastic, TCS MACD, and TCS Momentum.
• TCS STOCHASTIC
The TCS STOCHASTIC removes the noise from the standard RSI Stochastic and significantly reduces the number of anticipated signals (line crosses) that the RSI Stochastic provides. Similarly, the divergences are less frequent but more accurate.
The indicator plots overbought conditions (plotted as green waves) and oversold conditions (plotted as purple waves) in a clear way.
The Stochastic channel marks the power of buyers or sellers with white (bullish) and gray (bearish) shades.
The dots on the Stochastic line indicate when buyers or sellers are in control. This helps both in trend following conditions and reversal points.
The tinier the channel, defined by the Stochastic line and signal line, the stronger the trend is likely to be.
• TCS MACD
The TCS MACD removes noise from the standard MACD and often anticipates good entry points for standard MACD crosses, while delaying bad ones.
Additionally, the indicator's performance for divergences has been improved, as it takes into account both price action and on balance volume.
It has also been developed to provide better performance at the 0 line level, which can be a good entry point when the baseline is crossed.
The histogram helps to identify divergences and the strength of the trend.
• TCS MOMENTUM
The TCS MOMENTUM WAVES indicate the trend direction based on the strength of momentum and moments of accumulation/distribution, which are highlighted with a red background.
Bullish trends are represented with white waves, while bearish trends are shown in gray.
Crosses symbol on the 0 line indicate a possible trend reversal, with green for bullish and purple for bearish.
The best entry point for a reversal is when the momentum line changes to the trend direction color after a reversal point is detected.
The momentum line and its signal line can also be used to identify entry points for a strategy, as well as the crosses of the waves.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
