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! :))
Osilator
[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.
Adaptive Mean Reversion IndicatorThe Adaptive Mean Reversion Indicator is a tool for identifying mean reversion trading opportunities in the market. The indicator employs a dynamic approach by adapting its parameters based on the detected market regime, ensuring optimal performance in different market conditions.
To determine the market regime, the indicator utilizes a volatility threshold. By comparing the average true range (ATR) over a 14-period to the specified threshold, it determines whether the market is trending or ranging. This information is crucial as it sets the foundation for parameter optimization.
The parameter optimization process is an essential step in the indicator's calculation. It dynamically adjusts the lookback period and threshold level based on the identified market regime. In trending markets, a longer lookback period and higher threshold level are chosen to capture extended trends. In ranging markets, a shorter lookback period and lower threshold level are used to identify mean reversion opportunities within a narrower price range.
The mean reversion calculation lies at the core of this indicator. It starts with computing the mean value using the simple moving average (SMA) over the selected lookback period. This represents the average price level. The deviation is then determined by calculating the standard deviation of the closing prices over the same lookback period. The upper and lower bands are derived by adding and subtracting the threshold level multiplied by the deviation from the mean, respectively. These bands serve as dynamic levels that define potential overbought and oversold areas.
In real-time, the indicator's adaptability shines through. If the market is trending, the adaptive mean is set to the calculated mean value. The adaptive upper and lower bands are adjusted by scaling the threshold level with a factor of 0.75. This adjustment allows the indicator to be less sensitive to minor price fluctuations during trending periods, providing more robust mean reversion signals. In ranging market conditions, the regular mean, upper band, and lower band are used as they are more suited to capture mean reversion within a confined price range.
The signal generation component of the indicator identifies potential trading opportunities based on the relationship between the current close price and the adaptive upper and lower bands. If the close price is above the adaptive upper band, it suggests a potential short entry opportunity (-1). Conversely, if the close price is below the adaptive lower band, it indicates a potential long entry opportunity (1). When the close price is within the range defined by the adaptive upper and lower bands, no clear trading signal is generated (0).
To further strengthen the quality of signals, the indicator introduces a confluence condition based on the RSI. When the RSI exceeds the threshold levels of 70 or falls below the threshold level of 30, it indicates a strong momentum condition. By incorporating this confluence condition, the indicator ensures that mean reversion signals align with the prevailing market momentum. It reduces the likelihood of false signals and provides traders with added confidence when entering trades.
The indicator offers alert conditions to notify traders of potential trading opportunities. Alert conditions are set to trigger when a potential long entry signal (1) or a potential short entry signal (-1) aligns with the confluence condition. These alerts allow traders to stay informed about favorable mean reversion setups, even when they are not actively monitoring the charts. By leveraging alerts, traders can efficiently manage their time and take advantage of market opportunities.
To enhance visual interpretation, the indicator incorporates background coloration that provides valuable insights into the prevailing market conditions. When the indicator generates a potential short entry signal (-1) that aligns with the confluence condition, the background color is set to lime. This color suggests a bullish trend that is potentially reaching an exhaustion point and about to revert downwards. Similarly, when the indicator generates a potential long entry signal (1) that aligns with the confluence condition, the background color is set to fuchsia. This color represents a bearish trend that is potentially reaching an exhaustion point and about to revert upwards. By employing background coloration, the indicator enables traders to quickly identify market conditions that may offer mean reversion opportunities with a directional bias.
The indicator further enhances visual clarity by incorporating bar coloring that aligns with the prevailing market conditions and signals. When the indicator generates a potential short entry signal (-1) that aligns with the confluence condition, the bar color is set to lime. This color signifies a bullish trend that is potentially reaching an exhaustion point, indicating a high probability of a downward reversion. Conversely, when the indicator generates a potential long entry signal (1) that aligns with the confluence condition, the bar color is set to fuchsia. This color represents a bearish trend that is potentially reaching an exhaustion point, indicating a high probability of an upward reversion. By using distinct bar colors, the indicator provides traders with a clear visual distinction between bullish and bearish trends, facilitating easier identification of mean reversion opportunities within the context of the broader trend.
While the "Adaptive Mean Reversion Indicator" offers a robust framework for identifying mean reversion opportunities, it's important to remember that no indicator is foolproof. Traders should exercise caution and employ risk management strategies. Additionally, it is recommended to use this indicator in conjunction with other technical analysis tools and fundamental factors to make well-informed trading decisions. Regular backtesting and refinement of the indicator's parameters are crucial to ensure its effectiveness in different market conditions.
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.
Connors RSI (ValueRay)In compare to Tradingview Connors RSI, in this one you can choose which of the parts of the CRSI you want see:
RSI
Connors RSI
Up/Down RSI
Percent Rank
The Connors RSI is a technical indicator developed by Larry Connors. It combines three different elements - price momentum, relative strength, and mean reversion - to identify potential buy and sell signals. The indicator measures the level of overbought or oversold conditions in a security, aiming to generate signals for short-term trading opportunities. It is widely used by traders to assess the strength and direction of price movements and to identify potential entry and exit points in the market.
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.
Composite RSIOne issue with the famouse RSI indicator is that it is too sensitive in some cases and thus, might give false signals if we are eager to use those signals.
If we increase the length of the RSI, it might give too few signals which is not ideal as well.
This Composite RSI indicator was created to utilize the RSI strength, using 3 RSIs (with different length) in combination to give less signal than the original one.
You can use it like a normal RSI indicator:
- Try to find the entry when the RSI is in the overbought (RSI >= 70) and oversold (RSI <= 30) areas
- Use bullish divergence and bearish divergence on the RSI itself to signal your trade
In the example chart, I included a built-in RSI as well so you that you can compare the original one and the Composite RSI indicator.
Some extra features:
- Simple bullish and bearish divergences detection.
- Mark the RSI with green circle(s) when it is extremely overbought (over 80) and oversold (under 20)
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.
RSI of Zero Lag MA (ValueRay)The RSI of a Zero Lag Moving Average a powerful tool for for reliable exit signals.
The Relative Strength Index (RSI) is a widely recognized momentum oscillator that measures the speed and change of price movements. It provides valuable insights into overbought and oversold conditions, enabling traders to identify potential reversal points and take advantage of market inefficiencies.
The RSI of a Zero Lag Indicator takes this concept a step further by incorporating the Zero Lag Moving Average. The Zero Lag Moving Average is a cutting-edge indicator that minimizes lag and provides a smoother representation of price action, allowing for quicker and more precise responses to market movements.
By combining the RSI with the Zero Lag Moving Average, this indicator offers traders a superior exit strategy. When the RSI reaches extreme levels of overbought or oversold conditions, it indicates a potential reversal in the market. The Zero Lag Moving Average further enhances this signal by reducing delays and providing timely exit points.
Moreover, the RSI of a Zero Lag Indicator is not limited to mean reversion strategies. While it excels in identifying mean reversion opportunities, it can also be used in conjunction with other trading approaches. Traders can take advantage of its objective signals to exit trades profitably, regardless of their chosen strategy.
With its ability to accurately pinpoint overbought and oversold conditions, the RSI of a Zero Lag Indicator offers traders a competitive edge in the market. By providing timely exit signals and minimizing lag, it helps traders optimize their trading decisions and increase their chances of success.
Multi-Divergence Buy/Sell IndicatorThe "Multi-Divergence Buy/Sell Indicator" is a technical analysis tool that combines multiple divergence signals from different indicators to identify potential buy and sell opportunities in the market. Here's a breakdown of how the indicator works and how to use it:
Input Parameters:
RSI Length: Specifies the length of the RSI (Relative Strength Index) calculation.
MACD Short Length: Specifies the short-term length for the MACD (Moving Average Convergence Divergence) calculation.
MACD Long Length: Specifies the long-term length for the MACD calculation.
MACD Signal Smoothing: Specifies the smoothing length for the MACD signal line calculation.
Stochastic Length: Specifies the length of the Stochastic oscillator calculation.
Stochastic Overbought Level: Defines the overbought level for the Stochastic oscillator.
Stochastic Oversold Level: Defines the oversold level for the Stochastic oscillator.
Calculation of Indicators:
RSI: Calculates the RSI based on the specified RSI Length.
MACD: Calculates the MACD line, signal line, and histogram based on the specified MACD parameters.
Stochastic: Calculates the Stochastic oscillator based on the specified Stochastic parameters.
Divergence Detection:
RSI Divergence: Identifies a bullish divergence when the RSI crosses above its 14-period simple moving average (SMA).
MACD Divergence: Identifies a bullish divergence when the MACD line crosses above the signal line.
Stochastic Divergence: Identifies a bullish divergence when the Stochastic crosses above its 14-period SMA.
Buy and Sell Conditions:
Buy Condition: Triggers a buy signal when all three divergences (RSI, MACD, and Stochastic) occur simultaneously.
Sell Condition: Triggers a sell signal when both RSI and MACD divergences occur, but Stochastic divergence does not occur.
Plotting Buy/Sell Signals:
The indicator plots green "Buy" labels below the price bars when the buy condition is met.
It plots red "Sell" labels above the price bars when the sell condition is met.
Usage:
The indicator can be used on any timeframe and for any trading instrument.
Look for areas where all three divergences (RSI, MACD, and Stochastic) align to generate stronger buy and sell signals.
Consider additional technical analysis and risk management strategies to validate the signals and manage your trades effectively.
Remember, no indicator guarantees profitable trades, so it's essential to use this indicator in conjunction with other tools and perform thorough analysis before making trading decisions.
Feel free to ask any questions
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...
Fib top and bottom Hunter - No Repaint "Top and bottom Hunter" indicator combines two popular technical analysis tools, Fibonacci retracement levels and the Relative Strength Index (RSI), to identify potential trading opportunities in the market.
Fibonacci retracement levels are based on the Fibonacci sequence, a mathematical series where each number is the sum of the two preceding ones. In trading, Fibonacci retracement levels are used to identify potential support and resistance levels based on the recent price action. The indicator uses two Fibonacci levels, fib_0 and fib_1, which are typically set to 0.382 and 0.618, respectively. These levels represent common retracement ratios.
To calculate the Fibonacci levels, the indicator considers the highest and lowest prices within a specified range, typically the highest and lowest of the last two bars. It calculates the fib_range, which is the difference between the highest and lowest prices. Then, fib_level_0 and fib_level_1 are determined by subtracting the Fibonacci ratios from the highest price.
The RSI is a momentum oscillator that measures the speed and change of price movements. It helps identify overbought and oversold conditions in the market. The RSI parameters used in this indicator are rsi_length (length of the RSI calculation), rsi_overbought (upper threshold indicating overbought conditions), and rsi_oversold (lower threshold indicating oversold conditions). The RSI value is calculated based on the closing prices.
The indicator generates buy and sell signals based on specific conditions:
Buy Condition: A buy signal is triggered when the RSI crosses above the oversold level (rsi_oversold) and the closing price is higher than fib_level_1. This indicates a potential reversal or bounce from the Fibonacci support level.
Sell Condition: A sell signal is triggered when the RSI crosses below the overbought level (rsi_overbought) and the closing price is lower than fib_level_0. This suggests a potential reversal or pullback from the Fibonacci resistance level.
In summary, this indicator combines the power of Fibonacci retracement levels and the RSI to identify potential trading opportunities. It helps traders find confluence between the Fibonacci support or resistance levels and the RSI readings, indicating potential trend reversals or bounces. Traders can use this information to make informed decisions about entering or exiting positions in the market.
Feel free to change the settings for what works best for you and use this with other confluences. I personally use RSI overbought and oversold values as 80 and 20
D-BoT Alpha Volume SpikeHello traders, Let me explain the code and provide an example of how to trade using this indicator.
The code you provided is a Pine Script indicator that combines multiple technical indicators, such as Supertrend, ADX, RSI, and MFI, to generate buy and sell signals. Here's a breakdown of the code:
User Settings:
The user can adjust parameters like overbought_limit, oversold_limit, volume_multiplier, volume_ma_length, volume_spike_multiple, lookback_period, and use_extremities_confirmation according to their preference.
Calculate Supertrend:
The Supertrend indicator is calculated using three different ATR lengths (supertrend_atr_period1, supertrend_atr_period2, supertrend_atr_period3) and corresponding factors (supertrend_factor1, supertrend_factor2, supertrend_factor3).
The supertrend_value1, supertrend_value2, and supertrend_value3 represent the Supertrend values, while trend_direction1, trend_direction2, and trend_direction3 indicate the trend direction (negative for downtrend, positive for uptrend).
Candle calculations:
The high and low values are checked to identify bullish and bearish candles based on specific conditions.
Volume Spikes:
Volume spikes are detected by comparing the current volume with a median volume over a specified lookback period.
If the volume exceeds a certain multiple of the median volume and the DI+ value is greater than the DI- value, an "up" signal is generated. Similarly, if the DI- value is greater than the DI+ value, a "down" signal is generated.
Additional Filters (RSI and MFI):
Relative Strength Index (RSI) and Money Flow Index (MFI) are used as additional filters.
The RSI and MFI parameters can be adjusted according to the user's preference.
The signals generated by the volume spikes are filtered based on RSI and MFI conditions.
Plotting:
The indicator plots shapes (triangles) to represent buy and sell signals.
The Supertrend lines are plotted using different colors and transparency levels based on the distance from the current price.
The "bodyMiddle" plot is used for filling the area between the Supertrend lines.
Example Trade Scenario:
Let's consider an example trade scenario using this indicator:
When the indicator generates an "up" signal (trendBuy = true), indicating a potential bullish trend, and all the confirmation conditions (RSI, MFI, Supertrend) are met, you can consider opening a long position.
Conversely, when the indicator generates a "down" signal (trendSell = true), indicating a potential bearish trend, and all the confirmation conditions are met, you can consider opening a short position.
Remember, this is just an example, and it's crucial to perform thorough analysis and consider other factors before making trading decisions. It's recommended to backtest the strategy, assess risk management, and apply appropriate position sizing techniques.
Please note that the code provided is a simplified version, and there might be additional factors and considerations specific to your trading strategy that are not included in this code. *******"I have also reviewed the following indicators, and the volume calculation approaches of my friends have been very helpful in creating this indicator: "Volume Spikes " © tradeforopp and "Volume Spikes & Growing Volume Signals With Alerts & Scanner" © FriendOfTheTrend."*******
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.
TTP NVT StudioNVT Studio is an indicator that aims to find areas of reversal of the Bitcoin price based on the extreme areas of Network Value Transaction.
Instructions:
- We recommend using it on INDEX:BTCUSD
- Use the daily or weekly timeframe
The indicator works as an oscillator and offers to visualisation modes.
1) Showing the short term oscillations of NVT showing signals in potential areas of reversal.
2) The actual value of NVT displayed. When in green is an area of value and in red when its overextended.
This indicator can be used based on the signals or based on breakouts of trend lines drawn in the oscillator mode.
Red/green dots: signal type 1 - extremes with confirmation, these might trigger late
Yellow/Orange: signal type 2 - extremes without confirmation, might trigger too soon
Prime Oscillators Pro [ChartPrime]The Prime Oscillators Pro suite provides two unique oscillators that provide useful insights on divergences, overbought and over sold conditions, momentum reversals, confluence alerts, amongst a myriad of other features.
The Trend Fusion Oscillator
This oscillator uses an amalgamation of price and volume to give market participants useful insight into possible future price action. It is designed in the format of a classical oscillator to be recogniseable and have a easy learning curve.
The main features of the Trend Fusion Oscillator:
Trend mode: The price volume oscillator uses an adaptive calculation to signify when price is entering a downtrend or and uptrend. When the price volume oscillator intersects with the adaptive plot the color of the price volume band will change to signify an uptrend or a down trend. This is easy to interpret with red signifying a down trend and green signifying an uptrend.
Oversold or overbought conditions: A reasonable range calculation was implemented and normalized in order to extrapolate areas of overbought an oversold conditions.
Divergences: When the price volume oscillator ribbon peaks and valleys are diverging with price action a thin line will connect the two diverging peaks or vallyes to indicate to market participants that there is a higher probability of a reversal. Divergences can be used in a classical fashion for trading.
Areas of reversal: These signals incorporate an algorithm that takes the median length of the assets trends, average true range, price deviation, volatility, and gap conditions, to signal areas with high a probability of reversal.
Main Settings
Oscillator Mode: Select the desired type of oscillator via this dropdown
Bands On/Off: Display deviation bands on the oscillators
Bearish Divergences On/Off: Allow for toggling of bearish divergences
Hidden Bearish Divergences On/Off: Allow for toggling of hidden bearish divergences
Bullish Divergences On/Off: Allow for toggling of bullish divergences
Hidden Bullish Divergences On/Off: Allow for toggling of bullish divergences
Max disatance between points: Input to adjust the distances between divergences in terms of candles
Use cases
The Trend Fusion Oscillator can be used in a simple fashion using the red/green waves to idenfity market direction. Using the waves of the market, a trader can filter other indicators and build confluence. This can also apply to contrarian logic. Divergences and oversold/bought levels can be used in confluence with other factors such as classical SR or other user selected indicators.
The Prime oscillator
Reversal signals: These are in essence a contrarian signal predicting the reversal of the market and the oscillator.
The peak seekers are blue dots that analyse multiple indicators to deduce more accurate and confluence within divergences. Settings here are auto optimised depending on the user selected timeframe.
The momentum ribbon analyses market volatility and produces an actionable ribbon on which other calculations are deduced. When it twists it can indicate a shift in the trend.
Divergences are calculated so the indicator can catch the maxmimum number of divergences in order to avoid possible reversals being missed by the trader.
Risk Disclaimer
All content and developments created by ChartPrime are purely for informational & educational purposes only. Past performance does not guarantee future results.
