Good Mode RSI v2► Description:
"Good Mode RSI v2" is a powerful trading strategy designed to provide informed trading decisions. This script utilizes the popular RSI (Relative Strength Index) indicator to identify potential buying and selling opportunities in the market. It goes beyond the traditional use of RSI by incorporating carefully selected parameters to enhance its effectiveness. The strategy stands out for its customized combination of RSI levels and stop-loss/take-profit thresholds, allowing for precise trade entries and exits while effectively managing risk.
► How to Use:
To utilize the "Good Mode RSI v2" strategy, follow these steps:
1. Apply the script to your desired trading instrument and timeframe in TradingView.
2. Monitor the chart for trade signals generated by the strategy.
3. When the RSI reaches the sell level of 96, a sell signal is generated. Consider placing a sell order to take advantage of potential downward price movements.
4. take-profit level at 60 to secure profits in a strong downtrend.
5. When the RSI drops below the buy level of 4, a buy signal is generated. Consider placing a buy order to enter the market at a favorable price.
6. take-profit level at 30 to secure profits in a strong uptrend.
7. Monitor the RSI indicator on the chart to stay updated on its current value and anticipate potential trade signals.
Please note that trading decisions should be made based on a comprehensive analysis of multiple factors, including market conditions, trend analysis, and risk management. The "Good Mode RSI v2" strategy can serve as a valuable tool in your trading journey, but it should be used in conjunction with your own research and analysis.
► About it:
The "Good Mode RSI v2" strategy is not a mere replication or slight modification of existing strategies or indicators. It has been carefully crafted to provide traders with an original and purposeful approach to trading using the RSI indicator. The strategy's unique configuration of RSI levels and stop-loss/take-profit thresholds allows for improved performance and profitability. Backtesting results have shown impressive metrics, including a gain factor of 2.445 and a compelling profitability of 78.07% during the testing period.
► Referrals:
If you have any questions or need further assistance with the "Good Mode RSI v2" strategy, feel free to ask. Good luck with your trading endeavors!
Осцилляторы
ScalpTrader RSIThis script is a customized Relative Strength Index (RSI) indicator with added functionality, notably the optional Bollinger Bands overlay.
At its core, the script calculates the RSI, which is a popular momentum indicator used in technical analysis to identify overbought and oversold conditions. It does this by taking the average gain and the average loss over a user-defined period (default is 14) to compute the relative strength, which is then transformed into the RSI.
Furthermore, this script provides the option to overlay Bollinger Bands on the RSI line. Bollinger Bands, consisting of a middle band (a moving average) with two outer bands (standard deviations of the middle band), are used to measure volatility and 'relative' high or low prices. When applied to the RSI, they can offer another perspective on the momentum and volatility of the market.
RSI plot values are colored green if above 50 and red if below 50 to give the trader a sense of bullish or bearish price action.
I hope you find the indicator useful. Enjoy.
Qualitative Smoothed Strength Index***RSI CHART BELOW IS FOR COMPARSION TO SHOW HOE THEY MAKE SIMILIAR PATTERNS*** IT IS NOT PART OF THE INDICATOR***
The Qualitative Smoothed Strength Index (QSSI) is a simplified momentum oscillator whose values will oscillate between 0 and 1 . By converting price differences into binary values and smoothing them with a moving average, it identifies qualitative strength of price movements. This simplification allows traders to easily interpret trends and reversals. The QSSI offers advantages such as noise reduction, clear trend identification, and early signal detection, resulting in less lag compared to traditional oscillators. Traders can customize the indicator based on their preferences and use it across various markets.
QSSI Indicator uses the input function is used to define the input parameters of the indicator. In this case, there are two inputs:
length: The number of periods used for calculating the differences (a, b, c) and their assigned values. Default value is 5.
MAL: The length of the moving average used for smoothing the assigned values. Default value is 14.
The next few lines calculate 'a', 'b', and 'c', which represent the differences between the high, low, and close prices, respectively, and their corresponding previous simple moving averages (SMAs) of specified length. These differences are used to identify price movements.
The code assigns binary values (0 or 1) to a_assigned, b_assigned, and c_assigned, depending on whether the corresponding differences (a, b, c) are greater than 0. This step converts the differences into a binary representation, indicating upward or downward price movements.
Average_assigned calculates the average of the assigned binary values of a, b, and c. This average value represents the overall strength of the price movement.ma_assigned calculates the 14-day moving average of average_assigned, which smoothens the indicator and helps traders identify trends more easily.
The code plots the 14-day moving average (ma_assigned) on the chart as a blue line. It also plots the individual assigned values of a, b, and c as dots on the chart. a_assigned is shown in green, b_assigned in red, and c_assigned in black. These dots indicate the presence of upward or downward movements in the respective price components. By visualizing these dots on the chart, the trader can quickly identify the presence and direction of price movements for each of the price components. This information can be valuable for understanding how the different price elements (high, low, and close) are contributing to the overall trend and strength of the market. Traders can use this data to make more informed decisions, such as confirming the presence of trends, identifying potential reversals, or gauging the overall market sentiment based on the distribution of upward and downward movements across the price components.
Finally, the code draws horizontal dotted lines at levels 0.70 (0.8)and 0.30 (0.2). These levels are typically used to identify overbought (above 0.70 or 0.8) and oversold (below 0.30 or 0.2) conditions in the market.
The Qualitative Smoothed Strength Index (QSSI) provides traders with information about the strength and direction of price movements. By using assigned binary values, the indicator simplifies the interpretation of price data, making it easier to identify trends and potential reversals.
Trend Correlation Oscillator [SS]Hello,
Publishing this simple indicator.
What is it?
The Trend Correlation Oscillator takes the concept of my autocorrelation oscillator but applies it simply to time instead of autocorrelation.
It performs a correlation assessment to time. The theory behind it is the stronger the correlation, the more "exhausted" the trend and the more likely the trend will reverse. It is kind of building off of random walk theory in which the market should be random and efficient.
Does it work?
If you follow me on my indicator side, you will know that my indicators are all based on my own research and findings and stuff that I personally find that works. All of this comes from years of losing money trying to use conventional systems and finally developing my own stuff that I find works well. This is such an invention. It does work extremely well but its best applied for day traders. If you want to use this as a swing trader, play around with the lookback length. I don't have general recommendations to swing traders wanting to use this because this isn't an indicator I personally would use for swing trading (I would use the autocorrelation oscillator for that).
How to use it:
The default setting is to a 14 candle lookback. This works the best. It also should really be used on the 5 minute chart and not the 1 minute chart, as from my experience this works much better.
When a trend is approaching "exhaustion" to the upside, the indicator will turn red to let you know we are approaching a trend exhaustion. Once the exhaustion is at its peak and beginning to reverse, the indicator will place a cross symbol on where your entry should be. See the image below for an example:
It also works well if you combine it with my PTCR Correlation Indicator:
Closing thoughts
That is basically the indicator. Its one of my more simple ones, but many times simple is better and most effective!
Hopefully you find it helpful.
As always let me know your questions, comments and feedback/recommendations for improvements below.
Please know I do read and make note of all recommendations for indicators and improvements, however as it is just me managing them, it takes time for implementation and review :-).
Safe trades!
P/VF BollThis code draws a custom indicator named "P/VF Boll" on the price chart with the following visual elements:
1. **Basis Line (Blue)**: This line represents the moving average value (ma_value) calculated based on the user-selected moving average type (SMA, EMA, or WMA) and length.
2. **Upper Bands (Green)**: The upper bands are calculated by adding a certain multiple of the standard deviation (dev1 to dev12) to the basis line. These bands represent a certain level of price volatility above the moving average.
3. **Lower Bands (Red)**: The lower bands are calculated by subtracting a certain multiple of the standard deviation (dev1 to dev12) from the basis line. These bands represent a certain level of price volatility below the moving average.
4. **Histogram (White and Gray)**: A histogram is drawn only when the average_price_change values are outside the 3rd standard deviation (dev3) and beyond. The histogram color alternates between white and gray, indicating higher price volatility.
The user can customize the following parameters:
- Average Length: The length of the moving average.
- Moving Average Type: The type of moving average to be used (SMA, EMA, or WMA).
- Timeframe: The timeframe used to calculate volume data.
- Deviation 1 to Deviation 12: Multipliers for calculating the upper and lower bands.
The purpose of this indicator is to visually represent the relationship between price volatility, volume, and the moving average, allowing traders to assess potential price breakouts or reversals when the price moves beyond certain levels of standard deviations from the moving average.
RSI-Volume Oscillator Quick Scalping By Akhilesh PatelTitle: RSI-Volume Oscillator Quick Scalping Indicator
Description:
The "RSI-Volume Oscillator Quick Scalping" is a powerful and versatile custom indicator designed for traders who engage in scalping strategies. This indicator combines the Relative Strength Index (RSI) with a Volume Oscillator to provide valuable insights into momentum and volume dynamics in the market. Traders can also select their preferred moving average types (SMA, EMA, or HMA) to further customize the indicator's behavior.
Key Features:
RSI and Volume Oscillator Fusion: The indicator blends the RSI and a custom Volume Oscillator to offer a comprehensive view of both price momentum and volume trends. This integration provides valuable signals for quick scalping opportunities.
Customizable Moving Averages: Traders can choose from three popular moving average types (SMA, EMA, or HMA) for further customization. This flexibility allows users to align the indicator with their preferred trading strategies.
Clear Visualization: The Combined RSI-Volume Oscillator is plotted as a solid blue line, while the three selected moving averages are represented by orange, purple, and green lines, respectively. The zero line, overbought, and oversold levels for RSI are also indicated for easy reference.
Quick Scalping Signals: The indicator helps traders spot potential buy and sell signals efficiently, making it ideal for quick scalping strategies in rapidly moving markets.
Usage Instructions:
Customize the indicator by selecting your preferred RSI length, Volume Oscillator length, and moving average type (SMA, EMA, or HMA).
Observe the Combined RSI-Volume Oscillator and moving averages for potential entry and exit points.
Look for crossovers between the Combined RSI-Volume Oscillator and the selected moving averages for buy and sell signals.
The overbought (70) and oversold (30) levels for RSI can be used to identify potential reversal points.
Important Note:
Test the indicator on historical data and demo accounts before using it in live trading to ensure it aligns with your trading strategy.
Understand that no indicator guarantees profits, and trading involves risk. Always use proper risk management and discipline when executing trades.
Overall, the "RSI-Volume Oscillator Quick Scalping" indicator is a valuable addition to any scalper's toolkit, providing comprehensive insights into momentum and volume dynamics to enhance trading decisions. Happy scalping!
12&50 RSI + %R2/50 RSI+ %R is a PineScript indicator that combines two popular technical indicators, the Relative Strength Index (RSI) and the Williams %R. The indicator plots two lines, K and D, which represent the smoothed moving averages of the RSI. It also plots the RSI with a 60-period length and the Williams %R with a 21-period length. The indicator can be used to identify overbought and oversold conditions, as well as potential reversals.
Here are some of the key features of the script:
It uses two different RSI lengths to provide a more comprehensive view of the market.
It plots the Williams %R, which can be used to identify overbought and oversold conditions.
It includes overbought and oversold levels to help traders identify potential entry and exit points.
EMA Power BandsHello!
Today, I am delighted to introduce you to the "EMA Power Bands" indicator, designed to assist in identifying buying and selling points for assets moving in the markets.
Key Features of the Indicator:
EMA Bands: "EMA Power Bands" utilizes Exponential Moving Average (EMA) to create trend lines. These bands automatically expand or contract based on the price trend, adapting to market conditions.
ATR-Based Volatility: The indicator measures price volatility using the Average True Range (ATR) indicator, adjusting the width of the EMA bands accordingly. As a result, wider bands form during periods of increased volatility, while they narrow during lower volatility.
RSI-Based Buy-Sell Signals: "EMA Power Bands" uses the Relative Strength Index (RSI) to identify overbought and oversold zones. Entering the overbought zone generates a sell signal, while entering the oversold zone produces a buy signal.
Trend Direction Identification: The indicator assists in determining the price trend direction by analyzing the slope of the EMA bands. This allows you to identify periods of uptrends and downtrends.
Visualization of Buy-Sell Signals: "EMA Power Bands" visually marks the buy and sell signals:
- When RSI enters the overbought zone, it displays a sell signal (🪫).
- When RSI enters the oversold zone, it indicates a buy signal (🔋).
- When a candle closes above the emaup line, it displays a bearish signal (🔨).
- When a candle closes below the emadw line, it indicates a bullish signal (🚀).
By using the "EMA Power Bands" (EMA Güç Bantları) indicator, especially in trend-following strategies and periods of volatility, you can make more informed and disciplined trading decisions. However, I recommend using it in conjunction with other technical analysis tools and fundamental data.
*You can also use it with CCI as an example.
With this indicator, you can identify potential trend reversals in advance and strengthen your risk management strategies.
So, go ahead and try the "EMA Power Bands" (EMA Güç Bantları) indicator to enhance your technical analysis skills and make more informed trading decisions!
RSI Supreme Multi-Method [MyTradingCoder]Introducing the "RSI Supreme Multi-Method" indicator, a powerful tool that combines the Relative Strength Index (RSI) with selectable manipulation methods to identify overbought and oversold conditions in the market, along with the ability to detect divergences for enhanced trading insights.
The indicator features four distinct manipulation methods for the RSI, each providing valuable insights into market conditions:
1. Standard RSI Method: The indicator uses the traditional RSI calculation to identify overbought and oversold areas.
2. Volatility Weighted RSI Method: This method applies a volatility formula to the RSI calculation, allowing for a more responsive indication of market conditions during periods of heightened volatility. Users can adjust the length of the volatility formula to fine-tune this method.
3. Smoothed RSI Method: The smoothed RSI method utilizes a smoothing algorithm to reduce noise in the RSI values, presenting a clearer representation of overbought and oversold conditions. The length of the smoothing can be adjusted to match your trading preferences.
4. Session Weighted RSI Method: With this innovative method, users can specify multipliers for different time sessions throughout the day to manipulate the base RSI. Each session can be customized with start and end times, enabling or disabling specific sessions, and specifying the multiplier for each session. This feature allows traders to adapt the RSI to different market sessions dynamically.
Additionally, the "RSI Supreme Multi-Method" indicator draws divergences on the oscillator, providing an extra layer of analysis for traders. Divergences occur when the direction of the RSI differs from the direction of the price movement, potentially signaling trend reversals.
Key Settings:
RSI Length: Adjust the length of the base RSI before applying any manipulation.
RSI Source: Determine the data source for the base RSI calculation.
Overbought Value: Set the RSI value at which overbought conditions are indicated.
Oversold Value: Set the RSI value at which oversold conditions are indicated.
RSI Type: Choose from four options: Standard, Smoothed, Volatility Manipulated, or Session Manipulated.
Volatility Manipulated Settings: Adjust the length of the volatility formula (applicable to Volatility Manipulated method).
Smoothed Settings: Adjust the length of the smoothing (applicable to Smoothed method).
Session Manipulated Settings: Customize six different time sessions with start and end times, enable or disable specific sessions, and specify multipliers for each session.
Divergence Color: Adjust the color of the drawn divergences to suit your chart's aesthetics.
Divergence Tuning: Fine-tune the sensitivity of the divergence detection for more accurate signals.
The "RSI Supreme Multi-Method" indicator is a versatile and comprehensive tool that can be used to identify overbought and oversold areas, as well as to spot potential trend reversals through divergences. However, like all technical analysis tools, it should be used in conjunction with other indicators and analysis methods to make well-informed trading decisions.
Enhance your trading insights with the "RSI Supreme Multi-Method" indicator and gain an edge in identifying critical market conditions and divergences with precision.
Buy Only Strategy with Dynamic Re-Entry and ExitThe strategy aims to create a simple buy-only trading system based on moving average crossovers and the Weekly Commodity Channel Index (CCI) or Weekly Average Directional Index (ADX). It generates buy signals when the fast-moving average crosses above the slow-moving average and when the Weekly CCI and or Weekly ADX meet the specified conditions.
The strategy also allows for dynamic re-entry, which means it can open new long positions if the price goes above the three moving averages after an exit. However, the strategy will exit the long position if the price closes below the third moving average.
ENTRY CONDITIONS
The script defines the conditions for generating buy signals. It checks for two conditions for a valid buy signal:
• If the fast-moving average crosses above the slow-moving average -THERE IS Dynamic Re-Entry also
• If the user chooses HE OR SHE CAN FILTER TRADES BY USING CCI OR ADX
Dynamic Re-Entry:
the script allows for dynamic re-entry. If there is no active long position and the price is above all three moving averages a new long position is opened.
Exit Conditions
The script defines the exit condition for closing a long position. If the price closes below the third moving average, the script closes the long position.
IMPORTANT NOTICE
ONLY DAILY TIME FRAME
THERE WOULD BE WHIPSAW USE YOUR OWN ACCUMEN TO MINIMISE THEM
ITS ONLY BUY STRATEGY
EXIT CAN BE STRATEGY BASED OR SET PROFIT AND TARGETS AS PER RISK APETITE /RISK MANAGEMENT
DONT TRADE OPTIONS ON THIS
SUITABLE FOR STOCKS OF USA AND INDIAN MARKETS
ALWAYS REMEMBER TO DO YOUR OWN RESEARCH BEFORE TRADING AND INVESTING
AlexD Intraday market footprintThe indicator shows probability of a moving average non reversal at certain moment of day.
IMF_Predict line shows the probability of a reversal for the specified period.
moving average - period/2 shifted sma of typical price ( (close+high+low)/3 ).
Parameters:
Number of days - previous days to calculate the probability
SMA filter period - chart smoothing period
IMF smooth period - additional indicator smoothing after calculation
IMF predict period - period for calculating the probability of a reversal in the next N bars
Skip N hours in days(optimisation) - I recommend a half of the normal session time. Low values - long calculation time, High values - skipping days.
Anit Momentum IndicatorAnit Momentum Indicator: A Powerful Trend Continuation Tool for Long-Only Strategies
The "Anit Momentum Indicator" (AMI) is a powerful technical analysis tool designed to assist traders in identifying potential trend continuation opportunities in the financial markets. Unlike traditional trend reversal indicators, AMI is specifically crafted for long-only strategies, making it an ideal tool for traders seeking to capture sustained uptrends.
Concepts and Functionality:
1. Momentum Calculation:
The Anit Momentum Indicator begins by calculating the momentum of the closing price over a specified period. Momentum represents the rate of price change, offering clues about the strength and direction of price movements during the chosen duration.
2. RSI for Trend Continuation:
The script then applies the RSI to the previously computed momentum values. The RSI is a well-known oscillator used to measure the speed and magnitude of price changes. By utilizing the RSI on momentum data, the Anit Momentum Indicator gains a distinct advantage in gauging the strength of price momentum, leading to more accurate trend evaluations.
3. Rescaling for Better Visualization:
To enhance visual clarity and maintain consistent representation, the RSI on Momentum is rescaled to range from 0 to 100. This normalization ensures that the indicator's values remain within a fixed range, making it easier for traders to identify crucial overbought and oversold regions.
How to Use the Indicator:
Long-Only Strategy:
The AMI is most effective in long-only strategies. Traders can deploy the indicator to identify promising opportunities to go long on a stock or asset. A long position is established when the AMI crosses above 50, signaling a robust upward momentum.
Trend Continuation Confirmation:
The AMI's ability to capture trend continuation opportunities allows traders to stay invested in an uptrend for an extended period. As long as the AMI remains above 50, the uptrend is considered intact, and traders may continue to hold the position.
Higher Timeframe Advantage:
The AMI's effectiveness is further enhanced on higher timeframes. Longer timeframes provide a more reliable and sustained view of the underlying trend, giving traders greater confidence in their long-only strategies.
Conclusion:
The Anit Momentum Indicator is a valuable tool for traders pursuing trend continuation strategies, specifically long-only approaches. By leveraging the concept of momentum and RSI, the AMI helps traders identify and participate in sustained uptrends. With its focus on trend continuation rather than reversals, the AMI can be a key component in building successful long-only trading strategies, especially on higher timeframes. Traders can use this indicator to stay invested in robust uptrends, maximizing their profit potential while minimizing exposure to counter-trend moves by staying long till AMI value is greater than 50,it is better to stay away or exit from the asst class when AMI value is less than 50.
BTFD strategy [3min]Hello
I would like to introduce a very simple strategy to buy lows and sell with minimal profit
This strategy works very well in the markets when there is no clear trend and in other words, the trend going sideways
this strategy works very well for stable financial markets like spx500, nasdaq100 and dow jones 30
two indicators were used to determine the best time to enter the market:
volume + rsi values
volume is usually the number of stocks or contracts traded over a certain period of time. Thus, it is an important indicator of market activity and liquidity. Each transaction constitutes an individual exchange between the buyer and the seller and constitutes the trading volume of a given instrument or asset.
The RSI measures the strength of uptrends versus downtrends. The signal is the entry or exit of the indicator value of the oversold or overbought level of the market. It is assumed that a value below or equal 30 indicates an oversold level of the market, and an RSI value above or equal 70 indicates an overbought level.
the strategy uses a maximum of 5 market entries after each candle that meets the condition
uses 5 target point levels to close the position:
tp1= 0.4%
tp2= 0.6%
tp3= 0.8%
tp4= 1.0%
tp5= 1.2%
after reaching a given profit value, a piece of the position is cut off gradually, where tp5 closes 100% of the remaining position
each time you enter a position, a stop loss of 5.0% is set, which is quite a high value, however, when buying each, sometimes very active downward price movement, you need a lot of space for market decisions in which direction it wants to go
to determine the level of stop loss and target point I used a piece of code by RafaelZioni , here is the script from which a piece of code was taken
this strategy is used for automation, however, I would recommend brokers that have the lowest commission values when opening and closing positions, because the strategy generates very high commission costs
Enjoy and trade safe ;)
Normalized Close IndicatorThe central aspect of this indicator is the computation of a normalized close price. The normalized close price is computed by first determining the highest and lowest closing prices over a specified historical period. This highest and lowest value form the boundaries of the historical price range.
Once these bounds are established, the current closing price's position within this range is calculated. This is done by subtracting the lowest close from the current close and dividing the result by the range (the highest close minus the lowest close). This yields a value between 0 and 1, which is then multiplied by 100 to provide a percentage. This is not calculating percentile rank, but often it overlaps.
This percentage represents where the current close price stands relative to the historical price range. If the value is near 0, it indicates that the current close price is near the historical low, potentially signaling an oversold condition. Conversely, if the value is near 100, it suggests that the current close price is near the historical high, possibly indicating an overbought condition.
By using this approach, the indicator helps identify points at which the price may be considered relatively high (overbought) or low (oversold) compared to its recent historical range.
Additionally alerts are to switch from long to short and vice versa, for the most part, my strategy that incorporates this indicator is either long or short, sometimes though, the opposite bounds (high level for longs and low level for shorts) are not reached, then stop loss and take profit levels are needed.
I discovered it works fine on markets that spend most of time in a range like BTC/USD, adjustment needs to be done in user inputs and in Pine Script (length) for different exchanges, in current configuration works fine for me on Deribit Perpetuals (BTCUSD.P and ETHUSD.P), on 5 minute and 3 minute timeframes with a stop loss of 1.5% and take profit of 4.5% for BTCUSD.P and 1.7% and 5.1% for ETHUSD.P.
Price Acceleration Indicator (PAI)I have designed a "Price Acceleration" Indicator (PAI). It tracks the second derivative in price movements. This is different from ROC as that one measures Price Velocity rather than Acceleration. This Indicator should give you an idea of when the steam has come out of a move, or when one is getting started. For example, if RSI is reaching overbought, and PAI is Negative, that means the move is slowing down and likely to give in to the opposite direction soon.
OnChart_RSI💡 RSI superimposed on the chart!
👉 This indicator clearly shows the overbought and oversold zones directly on the chart of any instrument!
The RSI settings are standard.
In the settings menu, the RSI length and data type are set. In addition, the lower and upper boundaries are set.
The values of the boundaries and the RSI index are automatically adapted to the price of the instrument.
Thus, the boundaries of UP and DN form a kind of price channel and are displayed on the chart with a red and green line.
The RSI value is the yellow line.
The colors of the lines can be changed in the Style menu.
The exit of the RSI line above the upper limit (UP) indicates the entry of the price into the overbought zone (here you should look for a sale), the exit below the lower limit (DN) indicates the entry into the oversold zone (here you should look for purchases).
The return of the RSI from the overbought zone or from the oversold zone into the trading channel is marked on the chart with triangles and has a built-in alert.
When the price is fixed beyond the upper limit of UP, an uptrend is activated, and when fixed beyond the lower limit of DN, a downtrend is activated. The trend direction is highlighted by filling the channel (Show TREND in the settings menu).
The trend change also has a built-in alert.
👉 I wish everyone a profit and be sure to follow risk management in trading!
For any questions, you can write to me in private messages or by the contacts in my signature.
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💡 RSI наложенный на график!
👉 Данный индикатор наглядно показывает зоны перекупленности и перепроданности непосредственно на графике любого инструмента!
Параметры настройки RSI - стандартные.
В меню настройки задаётся длина RSI и тип данных. Кроме этого задаются нижняя и верхняя границы.
Значения границ и индекса RSI автоматически адаптируются под цену инструмента.
Таким образом, границы UP и DN образуют некий ценовой канал и отображаются на графике красной и зеленой линией.
Значение RSI - желтая линия.
Цвета линий можно изменить в меню "Стиль".
Выход линии RSI выше верхней границы (UP) говорит о входе цены в зону перекупленности (здесь следует искать продажу), выход ниже нижней границы (DN) говорит о входе в зону перепроданности (здесь следует искать покупки).
Возврат RSI из зоны перекупленности или из зоны перепроданности внутрь торгового канала - отмечается на графике треугольниками и имеет встроенное оповещение.
При закреплении ценой за верхней границей UP, активируется восходящий тренд, а при закреплении за нижней границей DN - нисходящий. Направление тренда подсвечивается заливкой канала (Show TREND в меню настроек).
Смена тренда также имеет встроенное оповещение.
👉 Желаю всем профита и обязательно соблюдайте риск-менеджмент в торговле!
По любым вопросам Вы можете написать мне в личные сообщения или по контактам в моей подписи.
3-Signal Directional Trend Strategy for E-MinisThis is a conceptual strategy intended for E-mini S&P 500 futures with hourly bars.
It uses three signals, going long or short when two or more change in the same direction.
First is MACD. A positive oscillator is considered a bullish signal and a falling oscillator is interpreted bearishly.
Next, stochastics are used as an overbought/oversold indicator. Overbought conditions are considered bearish and oversold readings are viewed as bullish.
Third is a custom indicator based on our Moving Average Speed script. It takes the rate of change of the 50-hour simple moving average (SMA), and then smooths it using a 10-period average. This provides a directional signal.
Traders may want to experiment with different settings for moving average speed.
Note: This is intended for use with stock index futures, which have round-the clock price data to populate the data in the indicators. It may not yield good results with stocks or ETFs.
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Buyers & Sellers / RangeBuyers & Sellers / Range
Volatility oscillator that measures the relationship of Buying & Selling Pressure to True Range.
In other words, how much % Buyers and Sellers separately occupy the Bar
BSP is a part of Bar Range. Entire bar metrics will always have bigger value than its composite elements (body and wicks).
Since there will be NO chance of BP or SP being more than ATR, their ratio would serve crucial Volatility details.
Hence, we can relate each of them to the overall range.
As a result we have simultaneous measurements of proportions buyers and sellers to the bar.
Default mode shows BP/ATR and SP/ATR mirrored. When one rises, the other falls to compensate.
Buying Pressure / True Range ⬆️🟢 ⬇️🔵
Selling Pressure / True Range ⬆️🔴 ⬇️🟠
They are being averaged in 2 different ways:
Pre-average first, then relate as ratio
Related first, then Averaged
Enable "Preaveraged" to use already averaged BSP and Ranges in ratio instead of averaging the ratio of BSP to individual bar. For example, we're looking BP/ATR, in calculation of buyers / Range it will use "MA(Buying Pressure) / MA(True Range)" instead of "MA(Buying Pressure / True Range)".
Due such calculation, it is going to be more lagging than in off mode. Nevertheless, it reduces noise from the impact of individual bar change.
Second way of noise reduction is enabling "Body / Range"
BSP Body / Range where Bullish & Bearish Body = Buying & Selling Pressure - Relevant Wick
Buying Body = Buying Pressure - Lower Wick
Selling Body = Selling Pressure - Upper Wick
And only then it is divided to ATR.
Note that Balance line differs because body is less than it used to be with wicks. So change in wicks won't play any role in computing the ratio anymore. Thus, signals of their crossings will be more reliable than in default mode.
Pseudo-Entropy Oscillator with Standard Deviation (modified)Intuition: The Pseudo-Entropy Oscillator with Standard Deviation (PEO_SD) was created to provide traders with a way to analyze market momentum and potential reversals. It combines the concepts of entropy, standard deviation, and moving averages to offer insights into market behavior.The oscillator's core idea is to measure the pseudo-entropy of the market using standard deviation. Pseudo-entropy refers to the degree of disorder or randomness in the price data. By calculating the standard deviation of the closing prices over a specified period, the oscillator quantifies the market's volatility.To enhance the usefulness of the pseudo-entropy measurement, the oscillator incorporates moving averages. The entropy delta is calculated by applying momentum analysis to the pseudo-entropy values. This helps identify short-term changes in the entropy, indicating shifts in market sentiment or momentum.The oscillator further smoothes the pseudo-entropy values by calculating the simple moving average (SMA) over a specified length. This helps filter out noise and provides a clearer representation of the market's overall momentum.
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The "Pseudo-Entropy Oscillator with Standard Deviation" (PEO_SD) is a custom indicator designed to help traders analyze market momentum and potential reversal points. It can be applied to various markets like stocks, commodities, forex, or cryptocurrencies. By using this indicator, you can gain insights into the market's behavior and make more informed trading decisions.
The PEO_SD indicator plots three lines on your chart: the fast pseudo-entropy line, the medium pseudo-entropy line, and the slow pseudo-entropy line. Each line represents the combined pseudo-entropy values, which are calculated using standard deviation and moving averages.
The lines are color-coded for easy identification. The fast line is represented by blue, the medium line by yellow, and the slow line by red. Additionally, three horizontal reference lines are plotted: the mid line (at 50), the lower bound (at 20), and the upper bound (at 80).
To use this indicator effectively, you can observe the interactions of the lines with the reference lines. For example, when any of the lines cross above the mid line, it might indicate a bullish signal, suggesting an upward price movement. Conversely, a crossover below the mid line could be a bearish signal, indicating a potential downward price movement. If the lines reach the upper bound, it might suggest that the market is overbought, and a reversal could be imminent. Conversely, reaching the lower bound may indicate that the market is oversold, possibly leading to a price reversal.
By applying the PEO_SD indicator and studying the lines' movements, you can gain valuable insights into market momentum, identify potential reversal points, and make more informed trading decisions.
Variety Step RSI w/ Dynamic Zones [Loxx]Variety Step RSI w/ Dynamic Zones is a stepped RSI calculation with Discontinued Signal Lines. This indicator includes 7 types of RSI to choose from. The addition of the Discontinued Signal Lines allows this indicator to better identify momentum shifts in price so traders have better defined long/short signals.
Enhanced Moving Average Calculation with Stepped Moving Average and the Advantages over Regular RSI
Technical analysis plays a crucial role in understanding and predicting market trends. One popular indicator used by traders and analysts is the Relative Strength Index (RSI). However, an enhanced approach called Stepped Moving Average, in combination with the Slow RSI function, offers several advantages over regular RSI calculations.
█ Stepped Moving Average and Moving Averages:
The Stepped Moving Average function serves as a crucial component in the calculation of moving averages. Moving averages smooth out price data over a specific period to identify trends and potential trading signals. By employing the Stepped Moving Average function, traders can enhance the accuracy of moving averages and make more informed decisions.
Stepped Moving Average takes two parameters:
The current RSI value and a size parameter. It computes the next step in the moving average calculation by determining the upper and lower bounds of the moving average range. It accomplishes this by adjusting the values of smax and smin based on the given RSI and size.
Furthermore, Stepped Moving Average introduces the concept of a trend variable. By comparing the previous trend value with the current RSI and the previous upper and lower bounds, it updates the trend accordingly. This feature enables traders to identify potential shifts in market sentiment and make timely adjustments to their trading strategies.
█ Advantages over Regular RSI:
Enhanced Range Boundaries:
The inclusion of size parameters in Stepped Moving Average allows for more precise determination of the upper and lower bounds of the moving average range. This feature provides traders with a clearer understanding of the potential price levels that can influence market behavior. Consequently, it aids in setting more effective entry and exit points for trades.
Improved Trend Identification:
The trend variable in Stepped Moving Average helps traders identify changes in market trends more accurately. By considering the previous trend value and comparing it to the current RSI and previous bounds, Stepped Moving Average captures trend reversals with greater precision. This capability empowers traders to respond swiftly to market shifts and potentially capture more profitable trading opportunities.
Smoother Moving Averages:
Stepped Moving Average's ability to adjust the moving average range bounds based on trend changes and size parameters results in smoother moving averages. Regular RSI calculations may produce jagged or erratic results due to abrupt market movements. Stepped Moving Average mitigates this issue by dynamically adapting the range boundaries, thereby providing traders with more reliable and consistent moving average signals.
Complementary Functionality with Slow RSI:
Stepped Moving Average and Slow RSI function in harmony to provide a comprehensive trading analysis toolkit. While Stepped Moving Average refines the moving average calculation process, Slow RSI offers a more accurate representation of market strength. The combination of these two functions facilitates a deeper understanding of market dynamics and assists traders in making better-informed decisions.
What is a Discontinued Signal Line (DSL)?
Many indicators employ signal lines to more easily identify trends or desired states of the indicator. The concept of a signal line is straightforward: by comparing a value to its smoothed, slightly lagging state, one can determine the current momentum or state.
The Discontinued Signal Line builds on this fundamental idea by extending it: rather than having a single signal line, multiple lines are used based on the indicator's current value.
The "signal" line is calculated as follows:
When a specific level is crossed in the desired direction, the EMA of that value is calculated for the intended signal line.
When that level is crossed in the opposite direction, the previous "signal" line value is "inherited," becoming a sort of level.
This approach combines signal lines and levels, aiming to integrate the advantages of both methods.
In essence, DSL enhances the signal line concept by inheriting the previous signal line's value and converting it into a level.
Extras
-Alerts
-Signals
Related indicators:
Step RSI
Top - Bottom Using MAThis script is used decide weather stock is overbought or oversold in given length/days from the settings.
using close difference from ohlc4 moving average ratio.
Settings Available
1) moving average length
2) Highest / Lowest ratio length
3) Difference Between Highest and Lowest Line
this script plot/display 4 lines
1) highest difference from moving averages in provided length.
2) lowest difference from moving averages in provided length.
3) ratio of moving average and ohlc4
4) linear regression moving averages of ratio of moving average and ohlc4
How to use this script
1) when ratio line is touch 2 days to highest ratio line means we are consider stock is in overbought levels or linear regression moving average above highest ratio line means overbought.
2) when ratio lines cross below its linear regression moving average then we consider final exit or book profit.
3) when linear regression moving average below lowest ratio line means stock is in oversold.
4) when linear regression moving average below lowest ratio line and linear regression line start rising after fall it means there is change in trend.
5) when linear regression moving average cross above lowest ratio line it means trend is changed and linear regression line turns green.
20/200MAs+LTF+4HTF and HighLowBox+3HTF20/200MAs
Shows 20 and 200 MAs in each TFs(tfChart,1 Lower and 4 Higher).
TFs:
current TF
Lower TF (default: lower1)
Higher TF1 (default: higher1)
Higher TF2 (default: higher1)
Higher TF3 (default: higher1)
Higher TF4 (default: higher1)
MAs:
20MA (default: sma)
1st 200MA (default: sma)
2nd 200MA (default: ema)
VWAP (optional)
HighLowBox+3HTF
Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
1st box for current timeframe.
2nd box for higher timeframe.(default: higher1)
3rd box for higher timeframe.(default: higher2)
4th box for higher timeframe.(default: higher3)
static timeframes can also be used.
RSI Multi Timeframe Based on Moving Average By Alireza PhoenixHi. I have prepared for you the multi-time frame RSI indicator based on moving average
You can use it in three different time frames
Open the settings and put the value you want in the Time 1 and Time 2 fields
In the fast and slow section, specify the length of the moving period of fast and slow origins as desired
In the offset section, you can add or reduce the time interval as you wish
This indicator shows you the RSI index in three different time frames along with two different lengths of the moving average based on the RSI index.
You can use this indicator in all financial, forex or crypto markets
The crossing of RSI and moving average lines in different time frames and lengths will give you a buy or sell signal.
Whenever the faster line or smaller RSI total frame succeeds in breaking the slower line or the RSI time is higher than the low, a free signal is issued and vice versa.
I do not guarantee that 100% of the issued signals are accurate and correct, and I have coded this indicator only for your convenience.
I hope you can get help from this indicator and make profit
Love From IRAN
