Heikin Ashi RSI + OTT [Erebor]Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a popular momentum oscillator used in technical analysis to measure the speed and change of price movements. Developed by J. Welles Wilder, the RSI is calculated using the average gains and losses over a specified period, typically 14 days. Here's how it works:
Description and Calculation:
1. Average Gain and Average Loss Calculation:
- Calculate the average gain and average loss over the chosen period (e.g., 14 days).
- The average gain is the sum of gains divided by the period, and the average loss is the sum of losses divided by the period.
2. Relative Strength (RS) Calculation:
- The relative strength is the ratio of average gain to average loss.
The RSI oscillates between 0 and 100. Traditionally, an RSI above 70 indicates overbought conditions, suggesting a potential sell signal, while an RSI below 30 suggests oversold conditions, indicating a potential buy signal.
Pros of RSI:
- Identifying Overbought and Oversold Conditions: RSI helps traders identify potential reversal points in the market due to overbought or oversold conditions.
- Confirmation Tool: RSI can be used in conjunction with other technical indicators or chart patterns to confirm signals, enhancing the reliability of trading decisions.
- Versatility: RSI can be applied to various timeframes, from intraday to long-term charts, making it adaptable to different trading styles.
Cons of RSI:
- Whipsaws: In ranging markets, RSI can generate false signals, leading to whipsaws (rapid price movements followed by a reversal).
- Not Always Accurate: RSI may give false signals, especially in strongly trending markets where overbought or oversold conditions persist for extended periods.
- Subjectivity: Interpretation of RSI levels (e.g., 70 for overbought, 30 for oversold) is somewhat subjective and can vary depending on market conditions and individual preferences.
Checking RSIs in Different Periods:
Traders often use multiple timeframes to analyze RSI for a more comprehensive view:
- Fast RSI (e.g., 8-period): Provides more sensitive signals, suitable for short-term trading and quick decision-making.
- Slow RSI (e.g., 32-period): Offers a smoother representation of price movements, useful for identifying longer-term trends and reducing noise.
By comparing RSI readings across different periods, traders can gain insights into the momentum and strength of price movements over various timeframes, helping them make more informed trading decisions. Additionally, divergence between fast and slow RSI readings may signal potential trend reversals or continuation patterns.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open 01, high 00 low 00, and close 00 prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
Cari skrip untuk "欧元汇率走势30天"
RSI Strategy with Manual TP and SL 19/03/2024This TradingView script implements a simple RSI (Relative Strength Index) strategy with manual take profit (TP) and stop-loss (SL) levels. Let's break down the script and analyze its components:
RSI Calculation: The script calculates the RSI using the specified length parameter. RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and typically values above 70 indicate overbought conditions while values below 30 indicate oversold conditions.
Strategy Parameters:
length: Length of the RSI period.
overSold: Threshold for oversold condition.
overBought: Threshold for overbought condition.
trail_profit_pct: Percentage for trailing profit.
Entry Conditions:
For a long position: RSI crosses above 30 and the daily close is above 70% of the highest close in the last 50 bars.
For a short position: RSI crosses below 70 and the daily close is below 130% of the lowest close in the last 50 bars.
Entry Signals:
Long entry is signaled when both conditions for a long position are met.
Short entry is signaled when both conditions for a short position are met.
Manual TP and SL:
Take profit and stop-loss levels are calculated based on the entry price and the specified percentage.
For long positions, the take profit level is set above the entry price and the stop-loss level is set below the entry price.
For short positions, the take profit level is set below the entry price and the stop-loss level is set above the entry price.
Strategy Exits:
Exit conditions are defined for both long and short positions using the calculated take profit and stop-loss levels.
Chart Analysis:
This strategy aims to capitalize on short-term momentum shifts indicated by RSI crossings combined with daily price movements.
It utilizes manual TP and SL levels, providing traders with flexibility in managing their positions.
The strategy may perform well in ranging or oscillating markets where RSI signals are more reliable.
However, it may encounter challenges in trending markets where RSI can remain overbought or oversold for extended periods.
Traders should backtest this strategy thoroughly on historical data and consider optimizing parameters to suit different market conditions.
Risk management is crucial, so traders should carefully adjust TP and SL percentages based on their risk tolerance and market volatility.
Overall, this strategy provides a structured approach to trading based on RSI signals while allowing traders to customize their risk management. However, like any trading strategy, it should be used judiciously and in conjunction with other forms of analysis and risk management techniques.
Market Internals & InfoThis script provides various information on Market Internals and other related info. It was a part of the Daily Levels script but that script was getting very large so I decided to separate this piece of it into its own indicator. I plan on adding some additional features in the near future so stay tuned for those!
The script provides customizability to show certain market internals, tickers, and even Market Profile TPO periods.
Here is a summary of each setting:
NASDAQ and NYSE Breadth Ratio
- Ratio between Up Volume and Down Volume for NASDAQ and NYSE markets. This can help inform about the type of volume flowing in and out of these exchanges.
Advance/Decline Line (ADL)
The ADL focuses specifically on the number of advancing and declining stocks within an index, without considering their trading volume.
Here's how the ADL works:
It tracks the daily difference between the number of stocks that are up in price (advancing) and the number of stocks that are down in price (declining) within a particular index.
The ADL is a cumulative measure, meaning each day's difference is added to the previous day's total.
If there are more advancing stocks, the ADL goes up.
If there are more declining stocks, the ADL goes down.
By analyzing the ADL, investors can get a sense of how many stocks are participating in a market move.
Here's what the ADL can tell you:
Confirmation of Trends: When the ADL moves in the same direction as the underlying index (e.g., ADL rising with a rising index), it suggests broad participation in the trend and potentially stronger momentum.
Divergence: If the ADL diverges from the index (e.g., ADL falling while the index is rising), it can be a warning sign. This suggests that fewer stocks are participating in the rally, which could indicate a weakening trend.
Keep in mind:
The ADL is a backward-looking indicator, reflecting past market activity.
It's often used in conjunction with other technical indicators for a more complete picture.
TRIN Arms Index
The TRIN index, also called the Arms Index or Short-Term Trading Index, is a technical analysis tool used in the stock market to gauge market breadth and sentiment. It essentially compares the number of advancing stocks (gaining in price) to declining stocks (losing price) along with their trading volume.
Here's how to interpret the TRIN:
High TRIN (above 1.0): This indicates a weak market where declining stocks and their volume are dominating the market. It can be a sign of a potential downward trend.
Low TRIN (below 1.0): This suggests a strong market where advancing stocks and their volume are in control. It can be a sign of a potential upward trend.
TRIN around 1.0: This represents a more balanced market, where it's difficult to say which direction the market might be headed.
Important points to remember about TRIN:
It's a short-term indicator, primarily used for intraday trading decisions.
It should be used in conjunction with other technical indicators for a more comprehensive market analysis. High or low TRIN readings don't guarantee future price movements.
VIX/VXN
VIX and VXN are both indexes created by the Chicago Board Options Exchange (CBOE) to measure market volatility. They differ based on the underlying index they track:
VIX (Cboe Volatility Index): This is the more well-known index and is considered the "fear gauge" of the stock market. It reflects the market's expectation of volatility in the S&P 500 index over the next 30 days.
VXN (Cboe Nasdaq Volatility Index): This is a counterpart to the VIX, but instead gauges volatility expectations for the Nasdaq 100 index over the coming 30 days. The tech-heavy Nasdaq can sometimes diverge from the broader market represented by the S&P 500, hence the need for a separate volatility measure.
Both VIX and VXN are calculated based on the implied volatilities of options contracts listed on their respective indexes. Here's a general interpretation:
High VIX/VXN: Indicates a high level of fear or uncertainty in the market, suggesting investors expect significant price fluctuations in the near future.
Low VIX/VXN: Suggests a more complacent market with lower expectations of volatility.
Important points to remember about VIX and VXN:
They are forward-looking indicators, reflecting market sentiment about future volatility, not necessarily current market conditions.
High VIX/VXN readings don't guarantee a market crash, and low readings don't guarantee smooth sailing.
These indexes are often used by investors to make decisions about portfolio allocation and hedging strategies.
Inside/Outside Day
This provides a quick indication of it we are still trading inside or outside of yesterdays range and will show "Inside Day" or "Outside Day" based upon todays range vs. yesterday's range.
Custom Ticker Choices
Ability to add up to 5 other tickers that can be tracked within the table
Show Market Profile TPO
This only shows on timeframes less than 30m. It will show both the current TPO period and the remaining time within that period.
Table Customization
Provided drop downs to change the text size and also the location of the table.
AWR_WaveTrend Multitimeframe [adapted from LazyBear]I've adapted a script from Lazy Bear (WT trend oscillator)
WaveTrend Oscillator is a port of a famous TS/MT indicator.
When the oscillator (WT1 designed as a line) is above the overbought band (50 to 60) and crosses down the WT2 (dotted line), it is usually a good SELL signal. Similarly, when the oscillator crosses above the signal when below the Oversold band ( (-50 to -60)), it is a good BUY signal.
In this indicator, you can display at the same time, different time frames.
Choice possible are 1 mn, 15 mn, 30 mn, 60 mn, 120 mn, 240 mn, 1D, Week, Month.
Small time frames (1 to 30 mn) are represented by a blue lines (light to dark)
1H is in grey
2H & 4H are in purple (light to dark)
1D is in green
1W is in orange
1M is in black
You can choose which timeframes you want to display for the current period or for the last period closed.
In a few seconds, you perfectly see the selected timeframes trends.
There is also at the bottom right a table summing up all the different values of WT1, WT2 and difference between them.
Positive difference means an upside trend
Negative difference means a downside trend.
Another way of using this indicator is displaying only the difference between WT1 & WT2. It's giving the speed & the direction of all trends. Trends are our friends ...
You can observe the significent times frames and look if they are all positives or negatives or if the speed of lower timeframe cross a longer timeframe of if the speed is decreasing or increasing...
Difference values goes generaly from -20 to 20 (it can exceed a bit but really rare). 12 is already high level of speed.
Many uses possible.
In the exemple posted, I've selected WT1 and WT2 for timeframes 4H, Daily & Weekly.
Marker 1:
Orange lines (WT1) are far below - 50 (-67 here) and cross WT2 pointed lines : weekly buy signal
But this buy signal is balanced by 4H & Daily sell signal = it's marking start of hesitations of main trend !!!!
Marker 2 :
Next buy signal in 4H or daily would normaly confirm the start
Marker 3 :
Sell signal in 4H and daily but weekly has an upside trend ! Start of a counter trend in the trend. To find the perfect timing of that you have to look to lower time frames, because 4H and daily are giving many hesitations signals crossing down & crossing up many times in an overbought zone.
Marker 4 :
End of the counter trend. Most of the time, the countertrend don't go in the "over" zone. That's why if you trading in an counter trend, you have to keep it in mind.
Then a few days later you can see the sell signal. And what a sell signal ! 4H & daily are smashed down really fastly ! Trends change warning !
Marker 5
Long hesitation/change of the trend. Daily WT and 4H are below the weekly trends. Weekly start to go down.
Start of a counter trend inside the trend giving us the best selling signal at her end !
Marker 6 :
Long hesitation/change of the trend.
You have to look in lower time frames to identify the short trend. Difficult to find the best timing to get in. ....
I've add many alerts. When a time frame become positive or negative. When many time frames are positive or negative or above or below 47 level...
Please feel free to explore.
Hope it will help you.
Thanks to Lazybear ! Thousands thanks to Lazybear !
Exemple with difference
Forex Multi-Factor IndicatorMoving Averages (MA):
Two moving averages are plotted on the chart: a fast MA (blue line) and a slow MA (red line).
The fast MA is calculated using a shorter period (10 periods by default), while the slow MA is calculated using a longer period (30 periods by default).
Moving averages help identify trends by smoothing out price fluctuations. When the fast MA crosses above the slow MA, it suggests a bullish trend, and when the fast MA crosses below the slow MA, it suggests a bearish trend.
Relative Strength Index (RSI):
The RSI indicator (orange line) is plotted on a separate axis.
RSI measures the speed and change of price movements and oscillates between 0 and 100.
RSI values above 70 are considered overbought, indicating a potential reversal to the downside, while RSI values below 30 are considered oversold, indicating a potential reversal to the upside.
Volume Moving Average (Volume MA):
The volume moving average (purple line) is plotted on the same axis as the volume.
The volume moving average is calculated over a specified period (20 periods by default).
Volume analysis provides insights into the strength of price movements. When the volume increases along with price movements, it suggests strong conviction from traders.
Buy and Sell Signals:
Buy signals (green triangle) are generated when all of the following conditions are met:
The fast MA crosses above the slow MA (indicating a bullish trend).
The RSI is below the oversold level (indicating potential upward momentum).
The current price is above the fast MA, and the volume is higher than the volume MA (indicating positive volume trend).
Sell signals (red triangle) are generated when all of the following conditions are met:
The fast MA crosses below the slow MA (indicating a bearish trend).
The RSI is above the overbought level (indicating potential downward momentum).
The current price is below the fast MA, and the volume is lower than the volume MA (indicating negative volume trend).
Overall, this multi-factor indicator combines moving averages, RSI, and volume analysis to identify potential buying and selling opportunities in the Forex market. Traders can use the signals generated by this indicator as part of their trading strategy, but it's important to consider other factors such as risk management and market conditions before making trading decisions
SPX IB Intraday Real TimeThis indicator was designed for traders doing Iron Butterflies intradays with the SPX.
Draw and assemble the picture of an IB with the call and put wings chosen according to the selected configuration. Additionally, it shows both breakevens according to the credit obtained.
The indicator shows the distance, in real time, between the current price of the SPX and the breakevens (calls and puts) that have been selected. This result is shown in percentages and points. In the upper right corner (for calls) and lower right (for puts). The label will change color as the price moves closer or further away from the breakevens.
Setting:
Open Time (Hour): IB opening time.
Open Time (Minute): IB opening minutes.
Open Price: Strike to which the center or body of the IB was opened.
Auto Price Open: If enabled, it will take the strike at the price closest to the SPX.
Wings Width: width of the IB wings.
Credit: Refers to the credit obtained according to the IB that was opened.
Shows Breakeven: Shows breakeven points at expiration based on credit earned.
Add SMAs: Adds the SMAs 8, 20 and 50 to the chart.
Note 1: It is recommended to use TradingView's Dark Theme Color.
Note 2: this indicator will only work in intraday times of less than 30 minutes (1m,2m,5m,10m,15m,30m) and will only show results while the market is open, that is, in real time.
************************************
Spanish Version:
Este indicador fue diseñado para los traders que hacen intradías de Iron Butterflies con el SPX.
Dibuja y arma el cuadro de un IB con las alas call y puts elegidas de acuerdo a la configuración seleccionada. Además, muestra ambos breakevens según el crédito obtenido.
El indicador muestra la distancia, en tiempo real, entre el actual precio del SPX y los breakevens (calls y puts) que se hayan seleccionado. Este resultado se muestra en porcentajes y en puntos. En la esquina superior derecha (para los calls) e inferior derecha (para los puts). El label cambiará de color a medida que el precio se acerque o aleje de los breakevens.
Configuración:
Open Time (Hour): Hora de apertura del IB.
Open Time (Minute): Minutos de apertura del IB.
Open Price: Strike al que se abrió el centro o cuerpo del IB.
Auto Price Open: Si se encuentra habilitado tomará el strike al precio más cercano al SPX.
Wings Width: ancho de las alas del IB.
Credit: Se refiere al crédito obtenido según el IB que se abrió.
Shows Breakeven: Muestra los puntos de breakeven en la expiración según el crédito obtenido.
Add SMAs: Agrega al cuadro las SMA 8, 20 y 50.
Nota 1: se recomienda usar el Dark Theme Color de TradingView.
Nota 2: este indicador solo funcionará en temporalidades intradías menores a 30 minutos (1m,2m,5m,10m,15m,30m) y solo mostrará resultados mientras el mercado esté abierto, o sea en tiempo real.
Time Candle Range HistoryThe 'Intraday Candle Range Average' indicator is designed to provide traders with insights into the average price range of intraday candles, specifically focusing on the period around 9:30 AM. By calculating the difference between the high and low of candles occurring at 9:30 AM, the indicator offers a dynamic view of market volatility during this critical time window. Users can customize parameters such as the number of days to consider for the average calculation, allowing for flexibility in analyzing short-term price movements. Additionally, the indicator offers a clear visualization of the current candle range compared to the historical average, aiding traders in identifying potential trading opportunities based on volatility patterns. Whether used independently or in conjunction with other technical analysis tools, the 'Intraday Candle Range Average' indicator empowers traders with valuable insights into intraday market dynamics.
[The_lurker] RSI-MFI-WPR Indicatoris an advanced trading indicator developed for the TradingView platform, which synergistically refers to the insights of three popular technical analysis tools: the Relative Strength Index (RSI), the Money Flow Index (MFI) and the Williams Indicator. Percentage range (WPR). This indicator is precisely designed to help traders identify potential buy and sell opportunities by accurately interpreting market momentum, volume, and price position relative to recent highs and lows.
The primary goal of the RSI-MFI-WPR Indicator is to provide a comprehensive tool that leverages the combined power of RSI, MFI and WPR to detect overbought and oversold conditions, indicating potential market reversal points. This multi-faceted approach aims to provide traders with a more robust framework for making informed decisions, and enhance their trading strategy through multi-indicator analysis.
Explanation of the indicator conditions
The essence of this indicator lies in its strategic conditions that indicate possible entry and exit points:
Oversold Condition (Condition): This is determined when the RSI and MFI are below 30, and the WPR drops below -91, indicating a strong oversold condition in the market. Such a scenario usually indicates a buying opportunity, assuming that the market may rebound from this oversold state.
Divergence Condition (Condition 1): Checks if the MFI exceeds 2.1 times the RSI. This unique case aims to highlight instances where there is a significant inflow of funds into an asset, which is not proportionately reflected in its RSI, which may indicate an upcoming price increase or highlight an unusual market situation for further From the analysis.
Overbought Warning (conditionExit): An exit signal is triggered when both the MFI and RSI exceed 85, and the WPR is above -15. This combination indicates an overbought condition in the market, indicating that the asset may be overvalued and that a price correction or reversal may be imminent, thus indicating a potential selling opportunity or a warning of initiating new positions.
Application and visualization
The RSI-MFI-WPR Indicator not only provides numerical insights but also displays these conditions on a TradingView chart. Through the use of color coding and plotting, it provides traders with an intuitive way to distinguish market conditions, enabling quick and effective decision-making. Incorporating alert conditions ensures that traders are immediately notified of important market events, in line with their strategic trading objectives.
Planning and alerts in “RSI-MFI-WPR Indicator”
Collected alert status
CombinedAlertCondition is a logical statement that combines all individual conditions (Condition, Condition1, Condition Exit, and The_lurkerMFI_oversold) into a single alert trigger. This condition becomes true and triggers an alert if any of the conditions specified for potential trading opportunities or warnings are met. It is designed to provide a comprehensive alert system that informs the trader of any important signal identified by the indicator, including entry and exit signals as well as oversold conditions.
Visual indicators
Background color for oversold condition: The script sets the background color to a specific shade of blue ( with 90% transparency) when the custom MFI indicates an oversold condition (The_lurkerMFI_oversold). This visual signal helps traders quickly recognize periods when the market may be undervalued and potentially poised for a rebound.
Drawing warning and exit signs:
Entry Signals: For Condition and Condition 1, which identify potential entry points, the indicator draws upward pointing triangles below the price bars. These triangles are colored in specific shades to differentiate signals from a fundamental oversold condition and a divergence condition, making it intuitive for traders to recognize the type of signal.
Exit Signals: For an exit condition, which indicates overbought conditions that may indicate an impending price correction, red downward-pointing triangles are drawn above the price bars. This serves as a clear visual warning to consider exiting positions or proceed with caution.
Configure the alarm
The script uses the conditional alert function to create an alert based on the AlertCondition combination. When this condition is met, any of the predefined signals are indicated
Conclusion
In short, the “RSI-MFI-WPR Indicator” stands out as a versatile and dynamic indicator that enriches a trader's toolkit by combining the analytical strengths of RSI, MFI and WPR. By setting clear conditions for entry and exit points from the market, it facilitates a proactive approach to trading, based on a detailed examination of market dynamics. This indicator demonstrates how mixing multiple technical tools can lead to more informed and accurate market analysis, with the aim of elevating the trading experience on Tradingview.
==================================================================================
هو مؤشر تداول متقدم تم تطويره لمنصة TradingView،
والذي يشير بشكل تآزري إلى رؤى ثلاث أدوات تحليل فني شائعة:
1- مؤشر القوة النسبية (RSI)،
2- مؤشر تدفق الأموال (MFI)،
3- مؤشر ويليامز. نطاق النسبة المئوية (WPR).
تم تصميم هذا المؤشر بدقة لمساعدة المتداولين على تحديد فرص الشراء والبيع المحتملة من خلال التفسير الدقيق لزخم السوق وحجمه وموقع السعر بالنسبة إلى الارتفاعات والانخفاضات الأخيرة.
الهدف الأساسي لمؤشر RSI-MFI-WPR هو توفير أداة شاملة تستفيد من القوة المشتركة لمؤشر RSI وMFI وWPR للكشف عن ظروف ذروة الشراء والمبالغة في البيع، مما يشير إلى نقاط انعكاس السوق المحتملة. ويهدف هذا النهج متعدد الأوجه إلى تزويد المتداولين بإطار أكثر قوة لاتخاذ قرارات مستنيرة، وتعزيز استراتيجية التداول الخاصة بهم من خلال تحليل متعدد المؤشرات.
شرح شروط المؤشر
يكمن جوهر هذا المؤشر في ظروفه الإستراتيجية التي تشير إلى نقاط الدخول والخروج المحتملة:
حالة ذروة البيع (الحالة): يتم تحديد ذلك عندما يكون مؤشر القوة النسبية RSI وMFI أقل من 30، وينخفض WPR إلى أقل من -92، مما يشير إلى حالة ذروة بيع قوية في السوق. يشير مثل هذا السيناريو عادةً إلى فرصة شراء، على افتراض أن السوق قد ينتعش من حالة ذروة البيع هذه.
شرط الاختلاف (الشرط 1): يتحقق مما إذا كانت السيولة تتجاوز 2.1 مرة مؤشر القوة النسبية. تهدف هذه الحالة الفريدة إلى تسليط الضوء على الحالات التي يوجد فيها تدفق كبير للأموال إلى أحد الأصول، وهو ما لا ينعكس بشكل متناسب في مؤشر القوة النسبية الخاص به، مما قد يشير إلى زيادة قادمة في الأسعار أو يسلط الضوء على وضع غير عادي في السوق لمزيد من التحليل.
تحذير ذروة الشراء (conditionExit): يتم إطلاق إشارة خروج عندما يتجاوز مؤشر MFI ومؤشر القوة النسبية 85، ويكون WPR أعلى من -15. يشير هذا المزيج إلى حالة ذروة الشراء في السوق، مما يشير إلى أن الأصل قد يكون مبالغًا في قيمته وأن تصحيح السعر أو انعكاسه قد يكون وشيكًا، مما يشير إلى فرصة بيع محتملة أو تحذير ببدء مراكز جديدة.
التطبيق والتصور
لا يوفر مؤشر RSI-MFI-WPR رؤى رقمية فحسب، بل يعرض أيضًا هذه الشروط على مخطط TradingView. من خلال استخدام الترميز اللوني والتخطيط، فإنه يوفر للمتداولين طريقة بديهية للتمييز بين ظروف السوق، مما يتيح اتخاذ قرارات سريعة وفعالة. يضمن دمج شروط التنبيه إخطار المتداولين على الفور بأحداث السوق المهمة، بما يتماشى مع أهدافهم التجارية الإستراتيجية.
التخطيط والتنبيهات في مؤشر RSI-MFI-WPR
حالة التنبيه التي تم جمعها ( CombinedAlertCondition ) عبارة منطقية تجمع كل الشروط الفردية
Condition، Condition1، Condition Exit، وThe_lurkerMFI_oversold في مشغل تنبيه واحد.
ليصبح هذا الشرط صحيحًا ويطلق تنبيهًا في حالة استيفاء أي من الشروط المحددة لفرص التداول المحتملة أو التحذيرات. وهو مصمم لتوفير نظام تنبيه شامل يُعلم المتداول بأي إشارة مهمة يحددها المؤشر، بما في ذلك إشارات الدخول والخروج بالإضافة إلى ظروف ذروة البيع.
المؤشرات البصرية
لون الخلفية لحالة ذروة البيع: يقوم البرنامج النصي بتعيين لون الخلفية إلى ظل معين من اللون الأزرق (بشفافية 90٪) عندما تشير مؤسسة التمويل الأصغر المخصصة إلى حالة ذروة البيع (The_lurkerMFI_oversold). تساعد هذه الإشارة المرئية المتداولين على التعرف بسرعة على الفترات التي قد تكون فيها السوق مقومة بأقل من قيمتها الحقيقية ومن المحتمل أن تكون مستعدة للانتعاش.
رسم علامات التحذير والخروج:
إشارات الدخول: بالنسبة للحالة والحالة 1، التي تحدد نقاط الدخول المحتملة، يرسم المؤشر مثلثات تشير إلى الأعلى أسفل أشرطة السعر. يتم تلوين هذه المثلثات بظلال محددة لتمييز الإشارات عن حالة ذروة البيع الأساسية وحالة التباعد، مما يجعل من السهل على المتداولين التعرف على نوع الإشارة.
إشارات الخروج: بالنسبة لحالة الخروج، التي تشير إلى ظروف ذروة الشراء التي قد تشير إلى تصحيح وشيك للسعر، يتم رسم مثلثات حمراء تشير إلى الأسفل فوق أشرطة السعر. يعد هذا بمثابة تحذير مرئي واضح للنظر في الخروج من المواقف أو المضي قدمًا بحذر.
تكوين المنبه
يستخدم البرنامج النصي وظيفة التنبيه الشرطي لإنشاء تنبيه بناءً على مجموعة AlertCondition. عند استيفاء هذا الشرط، تتم الإشارة إلى أي من الإشارات المحددة مسبقًا
خاتمة
باختصار، يبرز "مؤشر RSI-MFI-WPR" كمؤشر متعدد الاستخدامات وديناميكي يثري مجموعة أدوات المتداول من خلال الجمع بين نقاط القوة التحليلية لـ RSI وMFI وWPR. ومن خلال وضع شروط واضحة لنقاط الدخول والخروج من السوق، فإنه يسهل اتباع نهج استباقي للتداول، بناءً على فحص تفصيلي لديناميكيات السوق. يوضح هذا المؤشر كيف أن الجمع بين أدوات فنية متعددة يمكن أن يؤدي إلى تحليل سوق أكثر استنارة ودقة، بهدف رفع مستوى تجربة التداول على Tradingview.
==================================================================================
باختصار :
1- ظهور المثلث الاصفر يعني تواجد سيولة كبيره ( مفيد جدا لعملات البومب ) .
2- ظهور المثلث الأبيض يعني وصول الى مستويات تشبع البيع وهي فرصة ممتازه للشراء ( منطقة دخول ).
3- ظهور خط افقي يعني قرب عكس الاتجاه الى أعلى ( منطقة دخول ) .
4- ظهور مثلث أحمر يعني قرب عكس الاتجاه الى أسفل ( منطقة خروج ) .
5- التنبيه يعمل على جميع ما ذكر أعلاه في تنبيه واحد حتى تسهل المراقبة .
6- أفضل فواصل الاستخدام ( 4 ساعات ، 12 ساعه ، يوم ) .
ottlibLibrary "ottlib"
█ OVERVIEW
This library contains functions for the calculation of the OTT (Optimized Trend Tracker) and its variants, originally created by Anıl Özekşi (Anil_Ozeksi). Special thanks to him for the concept and to Kıvanç Özbilgiç (KivancOzbilgic) and dg_factor (dg_factor) for adapting them to Pine Script.
█ WHAT IS "OTT"
The OTT (Optimized Trend Tracker) is a highly customizable and very effective trend-following indicator that relies on moving averages and a trailing stop at its core. Moving averages help reduce noise by smoothing out sudden price movements in the markets, while trailing stops assist in detecting trend reversals with precision. Initially developed as a noise-free trailing stop, the current variants of OTT range from rapid trend reversal detection to long-term trend confirmation, thanks to its extensive customizability.
It's well-known variants are:
OTT (Optimized Trend Tracker).
TOTT (Twin OTT).
OTT Channels.
RISOTTO (RSI OTT).
SOTT (Stochastic OTT).
HOTT & LOTT (Highest & Lowest OTT)
ROTT (Relative OTT)
FT (Original name is Fırsatçı Trend in Turkish which translates to Opportunist Trend)
█ LIBRARY FEATURES
This library has been prepared in accordance with the style, coding, and annotation standards of Pine Script version 5. As a result, explanations and examples will appear when users hover over functions or enter function parameters in the editor.
█ USAGE
Usage of this library is very simple. Just import it to your script with the code below and use its functions.
import ismailcarlik/ottlib/1 as ottlib
█ FUNCTIONS
• f_vidya(source, length, cmoLength)
Short Definition: Chande's Variable Index Dynamic Average (VIDYA).
Details: This function computes Chande's Variable Index Dynamic Average (VIDYA), which serves as the original moving average for OTT. The 'length' parameter determines the number of bars used to calculate the average of the given source. Lower values result in less smoothing of prices, while higher values lead to greater smoothing. While primarily used internally in this library, it has been made available for users who wish to utilize it as a moving average or use in custom OTT implementations.
Parameters:
source (float) : (series float) Series of values to process.
length (simple int) : (simple int) Number of bars to lookback.
cmoLength (simple int) : (simple int) Number of bars to lookback for calculating CMO. Default value is `9`.
Returns: (float) Calculated average of `source` for `length` bars back.
Example:
vidyaValue = ottlib.f_vidya(source = close, length = 20)
plot(vidyaValue, color = color.blue)
• f_mostTrail(source, multiplier)
Short Definition: Calculates trailing stop value.
Details: This function calculates the trailing stop value for a given source and the percentage. The 'multiplier' parameter defines the percentage of the trailing stop. Lower values are beneficial for catching short-term reversals, while higher values aid in identifying long-term trends. Although only used once internally in this library, it has been made available for users who wish to utilize it as a traditional trailing stop or use in custom OTT implementations.
Parameters:
source (float) : (series int/float) Series of values to process.
multiplier (simple float) : (simple float) Percent of trailing stop.
Returns: (float) Calculated value of trailing stop.
Example:
emaValue = ta.ema(source = close, length = 14)
mostValue = ottlib.f_mostTrail(source = emaValue, multiplier = 2.0)
plot(mostValue, color = emaValue >= mostValue ? color.green : color.red)
• f_ottTrail(source, multiplier)
Short Definition: Calculates OTT-specific trailing stop value.
Details: This function calculates the trailing stop value for a given source in the manner used in OTT. Unlike a traditional trailing stop, this function modifies the traditional trailing stop value from two bars prior by adjusting it further with half the specified percentage. The 'multiplier' parameter defines the percentage of the trailing stop. Lower values are beneficial for catching short-term reversals, while higher values aid in identifying long-term trends. Although primarily used internally in this library, it has been made available for users who wish to utilize it as a trailing stop or use in custom OTT implementations.
Parameters:
source (float) : (series int/float) Series of values to process.
multiplier (simple float) : (simple float) Percent of trailing stop.
Returns: (float) Calculated value of OTT-specific trailing stop.
Example:
vidyaValue = ottlib.f_vidya(source = close, length = 20)
ottValue = ottlib.f_ottTrail(source = vidyaValue, multiplier = 1.5)
plot(ottValue, color = vidyaValue >= ottValue ? color.green : color.red)
• ott(source, length, multiplier)
Short Definition: Calculates OTT (Optimized Trend Tracker).
Details: The OTT consists of two lines. The first, known as the "Support Line", is the VIDYA of the given source. The second, called the "OTT Line", is the trailing stop based on the Support Line. The market is considered to be in an uptrend when the Support Line is above the OTT Line, and in a downtrend when it is below.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`.
length (simple int) : (simple int) Number of bars to lookback. Default value is `2`.
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `1.4`.
Returns: ( [ float, float ]) Tuple of `supportLine` and `ottLine`.
Example:
= ottlib.ott(source = close, length = 2, multiplier = 1.4)
longCondition = ta.crossover(supportLine, ottLine)
shortCondition = ta.crossunder(supportLine, ottLine)
• tott(source, length, multiplier, bandsMultiplier)
Short Definition: Calculates TOTT (Twin OTT).
Details: TOTT consists of three lines: the "Support Line," which is the VIDYA of the given source; the "Upper Line," a trailing stop of the Support Line adjusted with an added multiplier; and the "Lower Line," another trailing stop of the Support Line, adjusted with a reduced multiplier. The market is considered in an uptrend if the Support Line is above the Upper Line and in a downtrend if it is below the Lower Line.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`.
length (simple int) : (simple int) Number of bars to lookback. Default value is `40`.
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `0.6`.
bandsMultiplier (simple float) : Multiplier for bands. Default value is `0.0006`.
Returns: ( [ float, float, float ]) Tuple of `supportLine`, `upperLine` and `lowerLine`.
Example:
= ottlib.tott(source = close, length = 40, multiplier = 0.6, bandsMultiplier = 0.0006)
longCondition = ta.crossover(supportLine, upperLine)
shortCondition = ta.crossunder(supportLine, lowerLine)
• ott_channel(source, length, multiplier, ulMultiplier, llMultiplier)
Short Definition: Calculates OTT Channels.
Details: OTT Channels comprise nine lines. The central line, known as the "Mid Line," is the OTT of the given source's VIDYA. The remaining lines are positioned above and below the Mid Line, shifted by specified multipliers.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`
length (simple int) : (simple int) Number of bars to lookback. Default value is `2`
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `1.4`
ulMultiplier (simple float) : (simple float) Multiplier for upper line. Default value is `0.01`
llMultiplier (simple float) : (simple float) Multiplier for lower line. Default value is `0.01`
Returns: ( [ float, float, float, float, float, float, float, float, float ]) Tuple of `ul4`, `ul3`, `ul2`, `ul1`, `midLine`, `ll1`, `ll2`, `ll3`, `ll4`.
Example:
= ottlib.ott_channel(source = close, length = 2, multiplier = 1.4, ulMultiplier = 0.01, llMultiplier = 0.01)
• risotto(source, length, rsiLength, multiplier)
Short Definition: Calculates RISOTTO (RSI OTT).
Details: RISOTTO comprised of two lines: the "Support Line," which is the VIDYA of the given source's RSI value, calculated based on the length parameter, and the "RISOTTO Line," a trailing stop of the Support Line. The market is considered in an uptrend when the Support Line is above the RISOTTO Line, and in a downtrend if it is below.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`.
length (simple int) : (simple int) Number of bars to lookback. Default value is `50`.
rsiLength (simple int) : (simple int) Number of bars used for RSI calculation. Default value is `100`.
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `0.2`.
Returns: ( [ float, float ]) Tuple of `supportLine` and `risottoLine`.
Example:
= ottlib.risotto(source = close, length = 50, rsiLength = 100, multiplier = 0.2)
longCondition = ta.crossover(supportLine, risottoLine)
shortCondition = ta.crossunder(supportLine, risottoLine)
• sott(source, kLength, dLength, multiplier)
Short Definition: Calculates SOTT (Stochastic OTT).
Details: SOTT is comprised of two lines: the "Support Line," which is the VIDYA of the given source's Stochastic value, based on the %K and %D lengths, and the "SOTT Line," serving as the trailing stop of the Support Line. The market is considered in an uptrend when the Support Line is above the SOTT Line, and in a downtrend when it is below.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`.
kLength (simple int) : (simple int) Stochastic %K length. Default value is `500`.
dLength (simple int) : (simple int) Stochastic %D length. Default value is `200`.
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `0.5`.
Returns: ( [ float, float ]) Tuple of `supportLine` and `sottLine`.
Example:
= ottlib.sott(source = close, kLength = 500, dLength = 200, multiplier = 0.5)
longCondition = ta.crossover(supportLine, sottLine)
shortCondition = ta.crossunder(supportLine, sottLine)
• hottlott(length, multiplier)
Short Definition: Calculates HOTT & LOTT (Highest & Lowest OTT).
Details: HOTT & LOTT are composed of two lines: the "HOTT Line", which is the OTT of the highest price's VIDYA, and the "LOTT Line", the OTT of the lowest price's VIDYA. A high price surpassing the HOTT Line can be considered a long signal, while a low price dropping below the LOTT Line may indicate a short signal.
Parameters:
length (simple int) : (simple int) Number of bars to lookback. Default value is `20`.
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `0.6`.
Returns: ( [ float, float ]) Tuple of `hottLine` and `lottLine`.
Example:
= ottlib.hottlott(length = 20, multiplier = 0.6)
longCondition = ta.crossover(high, hottLine)
shortCondition = ta.crossunder(low, lottLine)
• rott(source, length, multiplier)
Short Definition: Calculates ROTT (Relative OTT).
Details: ROTT comprises two lines: the "Support Line", which is the VIDYA of the given source, and the "ROTT Line", the OTT of the Support Line's VIDYA. The market is considered in an uptrend if the Support Line is above the ROTT Line, and in a downtrend if it is below. ROTT is similar to OTT, but the key difference is that the ROTT Line is derived from the VIDYA of two bars of Support Line, not directly from it.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`.
length (simple int) : (simple int) Number of bars to lookback. Default value is `200`.
multiplier (simple float) : (simple float) Percent of trailing stop. Default value is `0.1`.
Returns: ( [ float, float ]) Tuple of `supportLine` and `rottLine`.
Example:
= ottlib.rott(source = close, length = 200, multiplier = 0.1)
isUpTrend = supportLine > rottLine
isDownTrend = supportLine < rottLine
• ft(source, length, majorMultiplier, minorMultiplier)
Short Definition: Calculates Fırsatçı Trend (Opportunist Trend).
Details: FT is comprised of two lines: the "Support Line", which is the VIDYA of the given source, and the "FT Line", a trailing stop of the Support Line calculated using both minor and major trend values. The market is considered in an uptrend when the Support Line is above the FT Line, and in a downtrend when it is below.
Parameters:
source (float) : (series float) Series of values to process. Default value is `close`.
length (simple int) : (simple int) Number of bars to lookback. Default value is `30`.
majorMultiplier (simple float) : (simple float) Percent of major trend. Default value is `3.6`.
minorMultiplier (simple float) : (simple float) Percent of minor trend. Default value is `1.8`.
Returns: ( [ float, float ]) Tuple of `supportLine` and `ftLine`.
Example:
= ottlib.ft(source = close, length = 30, majorMultiplier = 3.6, minorMultiplier = 1.8)
longCondition = ta.crossover(supportLine, ftLine)
shortCondition = ta.crossunder(supportLine, ftLine)
█ CUSTOM OTT CREATION
Users can create custom OTT implementations using f_ottTrail function in this library. The example code which uses EMA of 7 period as moving average and calculates OTT based of it is below.
Source Code:
//@version=5
indicator("Custom OTT", shorttitle = "COTT", overlay = true)
import ismailcarlik/ottlib/1 as ottlib
src = input.source(close, title = "Source")
length = input.int(7, title = "Length", minval = 1)
multiplier = input.float(2.0, title = "Multiplier", minval = 0.1)
support = ta.ema(source = src, length = length)
ott = ottlib.f_ottTrail(source = support, multiplier = multiplier)
pSupport = plot(support, title = "Moving Average Line (Support)", color = color.blue)
pOtt = plot(ott, title = "Custom OTT Line", color = color.orange)
fillColor = support >= ott ? color.new(color.green, 60) : color.new(color.red, 60)
fill(pSupport, pOtt, color = fillColor, title = "Direction")
Result:
█ DISCLAIMER
Trading is risky and most of the day traders lose money eventually. This library and its functions are only for educational purposes and should not be construed as financial advice. Past performances does not guarantee future results.
Cast ForwardThis indicator will not forecast price action. It will not predict price movement nor will it in any way predict the outcome of any trade you may take. This is not a signal for buying or selling. You must do your own back testing and analysis for trading.
Time and price are the two most important components of market data. Where was price at what time? To help visualize this question I created this indicator. It allows for the previous session data to be overlayed onto the chart offset forward 24 hours. What this means is that you have the high, (high/low)/2, and low of each candle plotted on top of your chart for the time frame of the current chart, but offset so that the data from the current candle has the data from the corresponding candle 24 hours prior lined up on the x-axis.
SMA Logic: I used the SMA (Simple Moving Average) function with a length of 1 to plot the data points without any smoothing to give the true values of the data.
For Intraday Charting
For Electronic Trading Hours:
In order to line up the data correctly, for intraday charts, I used the current chart timeframe and divided it into 1380 (number of minutes in the 23 hour futures market trading day) to set the data offset. Using the same math logic, this indicator also gives the correct correlated data on the 30 second time frame. If the chart time frame that is currently being used does not allow for correct data correlation (not a factor of 1380) it will not plot the data.
For Regular Trading Hours:
In order to line up the data correctly, for intraday charts, I used the current chart timeframe and divided it into 405 (number of minutes in the 6 hour 45 minutes New York regular session trading day, including the 15 minute settlement time) to set the data offset. This indicator also gives the correct correlated data on the 30 second time frame. If the chart time frame that is currently being used does not allow for correct data correlation (not a factor of 405) it will not plot the data.
For the Daily Chart:
This indicator plots a visualization of the 20-40-60 day IPDA data range; (The IPDA data range helps traders identify liquidity, price gaps, and equilibrium points in the market, providing insights for optimal trade entries and market structure shifts). It does this using the same SMA logic as the intraday plot. What this means is it offsets the historical data of the daily chart 20, 40, or 60 bars forward. You can plot any combination of the three on the chart at one time, but these will not show on the intraday chart. This allows for visualization of where the market will possibly seek liquidity, seek to rebalance, or seek equilibrium in the future.
Moving Average Dispersion Index w/ Z-Score (Adjusted MADI-Z)Overview
The Adjusted MADI-Z indicator is a custom indicator that looks to decipher trends and consolidations based on the clustering and dispersion of Moving Averages. It calculates a z-score based on the dispersion of various exponentially weighted moving averages to identify trends and consolidation. The z-score is then adjusted using a logistic function to map it between 0-100.
How can it be used?
- Identify trends and consolidation - Values above 80 indicate a strong trend while values below 20 show consolidation
- Gauge trend strength - Higher positive values suggest a stronger uptrend while lower negative values indicate a stronger downtrend
- Generate trading signals - Crossovers of key levels can act as entry/exit triggers
- Smooth noise in price action - The adjusted z-score filters out market noise
Default Values
- ma5_len = 5
- ma10_len = 10
- ma50_len = 50
- ma200_len = 200
- lookback_period = 100
Strategies
The Adjusted MADI-Z can be used for trend-following strategies across various timeframes. Specific strategies include:
- Trend trading - Enter long on crossover above 80, exit on crossover below 80. Reverse for short trades.
- Range trading - Enter short on crossover below 20, exit on crossover above 20. Reverse for long trades.
- Identifying pullbacks - Temporary moves below 80 during uptrends and above 20 during downtrends can act as retracement entry points.
Rationale
By adjusting the z-score output of the standard MADI using a logistic function, the indicator becomes bounded and easier to interpret for trading purposes. The customized moving average lengths also allow tuning the indicator to particular assets and timeframes.
Interpretation
- Above 80 - Strong uptrend
- 70 to 80 - Moderate uptrend
- 50 to 70 - Weak uptrend
- 30 to 50 - Range-bound consolidation
- 20 to 30 - Weak downtrend
- Below 20 - Strong downtrend
Values below 15 or above 85 represent extremes outside two standard deviations.
Donch +This is an indicator I made for trading Forex to help me see the bigger picture. It is meant for the 30min TF and it includes the following:
- 20 Day High | Low
- 5 Day High | Low
- 4 Hour High | L
- 4 Hour Bars
- Daily Simple Moving Averages
- Weekly Trend Line (connects last week's open to this week's open)
- Daily Trend Line (connects yesterday's open to today's open)
- Horizontal Lines at 0.25% increments (these can be useful for S/R... currency rarely moves more than 1% in a day).
- A table with information about what markets are open and technicals on the pair I am looking at.
- A slight white background fill to highlight the first hour of the US session. Knowing what session you are in is very important in day trading (in my opinion). This lets me go back and see how the US has been trading.
To keep the chart from being "too busy" (it's plenty busy lol), I use a step line and focus on 30min closes. I reference the white lines above and below closes for 4hr highs/lows and don't bother with looking at the high/low of every 30 min bar.
For the table, you will see bright green by the country for the first hour of trading in that session. It will turn to a regular green after the first hour. It will turn yellow the final hour of that session. It will turn red if that market is closed.
You can select from the settings 'inputs' tab to enable/disable any parts of this you don't find useful, for the table you'd go over to the 'style' tab and unselect it there. For example, I don't use the labels regularly. If I were to get confused about what a moving average was or something, I'd enable the labels and clarify.
Currency doesn't like to break out and likes to be stable. Keeping this in mind, you can see how the 20 day high / low and the 5 day high / low act as support and resistance (unless there is a news event to break out on.
I have alerts for the following:
- Price update every hour
- Crossing a trend line
- Crossing a moving average
- Crossing a 0.25% increment
- Making a new 4 hour, 5 day, or 20 day high/low
To enable the alerts, you would click add alert, select the indicator, and click save. To work properly, you'd want to be on the 30min TF before doing this. You will get a lot of alerts (personally I like this because I like to see how currency moves throughout the day). You will get one notification per 30 minutes but not more than that for the particular alert.
itradesize /\ Silver Bullet x Macro x KillzoneThis indicator shows the best way to annotate ICT Killzones, Silver Bullet and Macro times on the chart. With the help of a new pane, it will not distract your chart and will not cause any distractions to your eye, or brain but you can see when will they happen.
The indicator also draws everything beforehand when a proper new day starts.
You can customize them how you want to show up.
Collapsed or full view?
You can hide any of them and keep only the ones you would like to.
All the colors can be customized, texts & sizes or just use shortened texts and you are also able to hide those drawings which are older than the actual day.
You should minimize the pane where the script has been automatically drawn to therefore you will have the best experience and not show any distractions.
The script automatically shows the time-based boxes, based on the New York timezone.
Killzone Time windows ( for indices ):
London KZ 02:00 - 05:00
New York AM KZ 07:00 - 10:00
New York PM KZ 13:30 - 16:00
Silver Bullet times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro times:
02:33 - 03:00
04:03 - 04:30
08:50 - 0910
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Leveraged Share Decay Tracker [SS]Releasing this utility tool for leveraged share traders and investors.
It is very difficult to track the amount of decay and efficiency that is associated with leveraged shares and since not all leveraged shares are created equally, I developed this tool to help investors/traders ascertain:
1. The general risk, in $$, per share associated with investing in a particular leveraged ETF
2. The ability of a leveraged share to match what it purports to do (i.e. if it is a 3X Bull share, is it actually returning consistently 3X the underlying or is there a large variance?)
3. The general decay at various timepoints expressed in $$$
How to use:
You need to be opened on the chart of the underlying. In the example above, the chart is on DIA, the leveraged share being tracked is UDOW (3X bull share of the DOW).
Once you are on the chart of the underlying, you then put in the leveraged share of interest. The indicator will perform two major assessments:
1. An analysis of the standard error between the underlying and the leveraged share. This is accomplished through linear regression, but instead of creating a linreg equation, it simply uses the results to ascertain the degree of error associated at various time points (the time points are 10, 20, 30, 40, 50, 100, 252).
2. An analysis of the variance of returns. The indicator requires you to put in the leverage amount. So if the leverage amount is 3% (i.e. SPXL or UPRO is 3 X SPY), be sure that you are putting that factor in the settings. It will then modify the underlying to match the leverage amount, and perform an assessment of variance over 10, 20, 30, 40, 50, 100, 252 days to ensure stability. This will verify whether the leveraged ETF is actually consistently performing how it purports to perform.
Here are some examples, and some tales of caution so you can see, for yourself, how not all leveraged shares are created equal.
SPY and SPXL:
SPY and UPRO:
XBI and LABU (3 x bull share):
XBI and LABD (3 x bear share):
SOX and SOXL:
AAPL and AAPU:
It is VERY pivotal you remember to check and adjust the Leveraged % factor.
For example, AAPU is leveraged 1.5%. You can see above it tracks this well. However, if you accidently leave it at 3%, you will get an erroneous result:
You can also see how some can fail to track the quoted leveraged amount, but still produce relatively lower risk decay.
And, as a final example, let's take a look at the worst leveraged share of life, BOIL:
Trainwreck that one. Stay far away from it!
The chart:
The chart will show you the drift (money value over time) and the variance (% variance between the expected and actual returns) over time. From here, you can ascertain the general length you feel comfortable holding a leveraged share. In general, for most stable shares, <= 50 trading days tends to be the sweet spot, but always check the chart.
There are also options to plot the variances and the drifts so you can see them visually.
And that is the indicator! Kind of boring, but there are absolutely 0 resources out there for doing this job, so hopefully you see the use for it!
Safe trades everyone!
RSI and MACD Crossover SignalsBest for Short-Term/Intraday Trading on SPY, TSLA, NVDA
Strategy Concept:
This strategy is designed for short-term trading across various assets and timeframes (Recommend: 1min, 5min, 15min, 1hr, 4hr, 1day). It leverages the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) to identify potential buy and sell signals. The strategy aims to capture moments where the asset's price is likely to experience a reversal or a significant momentum shift.
By combining the RSI and MACD indicators, the strategy seeks to increase the accuracy of identifying potential trend reversals or continuations, taking into account both the momentum and the trend direction of the asset.
RSI (Relative Strength Index) Parameters:
The RSI period is set to 14
Overbought and oversold levels are set at 70 and 30, respectively
The RSI is used to identify potential reversal points when the asset is overbought or oversold
MACD (Moving Average Convergence Divergence) Parameters:
The MACD settings are configured with a fast length of 8, a slow length of 34, and a signal smoothing of 8
The MACD line crossing over or under the signal line is used to confirm the potential buy or sell signals indicated by the RSI
Signal Generation Logic:
Buy Signal:
Triggered when the RSI crosses above the oversold level (30).
Confirmed if the MACD line crosses above the signal line within a delay period of up to 4 candles after the RSI signal.
Sell Signal:
Triggered when the RSI crosses below the overbought level (70).
Confirmed if the MACD line crosses below the signal line within a delay period of up to 4 candles after the RSI signal.
Additional Features:
The script includes a notification system that alerts the trader when either a buy or sell signal is detected. The alert signal is combined with both the buy and sell signal in 1 so people without premium can be alerted when any signal appears.
Buy signals are visually represented on the chart below the price bars with a green "BUY" label.
Sell signals are indicated above the price bars with a red "SELL" label.
Usage and Application:
This strategy is versatile and recommended to be played with scalps and day trades. I prefer SPY 0DTE on the 1 and 5 minute timeframe and looking for bigger trend reversals on the 1hr, 4hr, and 1 day timeframe.
Megabar Breakout (Range & Volume & RSI)Hey there,
This strategy is based on the idea that certain events lead to what are called Megabars. Megabars are bars that have a very large range and volume. I wanted to verify whether these bars indicate the start of a trend and whether one should follow the trend.
Summary of the Code:
The code is based on three indicators: the range of the bar, the volume of the bar, and the RSI. When certain values of these indicators are met, a Megabar is identified. The direction of the Megabar indicates the direction in which we should trade.
Why do I combine these indicators?
I want to identify special bars that have the potential to mark the beginning of a breakout. Therefore, a bar needs to exhibit high volume, have a large range (huge price movement), and we also use the Relative Strength Index (RSI) to assess potential momentum. Only if all three criteria are met within one candle, do we use this as an identifier for a megabar.
Explanation of Drawings on the Chart:
As you can see, there is a green background on my chart. The green background symbolizes the time when I'm entering a trade. Only if a Megabar happens during that time, I'm ready to enter a trade. The time is between 6 AM and 4 PM CET. It's just because I prefer that time. Also, the strategy draws an error every time a Megabar happens based on VOL and Range only (not on the RSI). That makes it pretty easy to go through your chart and check the biggest bars manually. You can activate or deactivate these settings via the input data of the strategy.
When Do We Enter a Trade?
We wait for a Megabar to happen during our trading session. If the Megabar is bullish, we open a LONG trade at the opening price of the next candle. If the Megabar is bearish, we open a SHORT trade at the opening price of the next candle.
Where Do We Put Our Take Profit & Stop Loss?
The default setting is TP = 40 Pips and SL = 30 Pips. In that case, we are always trading with a risk-reward ratio of 1.33 by default. You can easily change these settings via the input data of the strategy.
Strategy Results
The criteria for Megabars were chosen by me in a way that makes Megabars something special. They are not intended to occur too frequently, as the fundamental idea of this strategy would otherwise not hold. This results in only 37 closed trades within the last 12 months. If you change the criterias for a megabar to a milder one, you will create more Megabars and therefore more trades. It's up to you. I have adapted this strategy to the 30-minute chart of the EURUSD. In the evaluation, we consider a period of 12 months, which I believe is sufficient.
My default settings for the indicators look like this:
Avg Length Vol 20
Avg Multiplier Vol 3
Avg Length Range 20
Avg Multiplier Range 4
Value SMA RSI for Long Trades 50
Value SMA RSI for Short Trades 70
IMPORTANT: The current performance overview does not display the results of these settings. Please change the settings to my default ones so that you can see how I use this strategy.
I do not recommend trading this strategy without further testing. The script is meant to reflect a basic idea and be used as a tool to identify Megabars. I have made this strategy completely public so that it can be further developed. One can take this framework and test it on different timeframes and different markets.
