Biddles OI Weighted Average PriceAhoy!
This script calculates Open Interested Weighted Average Price for the following lookback periods:
- 7, 30, 60
e.g. On the 1D chart, you will see OIWAP for the past 7, 30, and 60 days. It works on any timeframe though.
It works with any ticker that TV's OI indicator supports, and has ticker override if you are looking at an exchange that's unsupported, but for an asset that is.
e.g. If you're looking at Bybit's BTCUSDT.P which is unsupported- you can override to get OI data from Binance's BTCUSDT.P which is supported.
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Open-Sourced + Crowd Sourcing Goals
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I am open sourcing this in hopes we can work together to find interesting signal/observation, and make the script better.
The only way I could think of to calculate the OIWAP for the lookback periods was to manually factor in each period in the formula.
e.g. For the 60-period lookback, it's manually taking price and OI for each individual period.
I am also hoping other folks will make interesting observations.
With the few hours I've spent thus far, they seem to operate much like MA bands, with crossovers having similar implications.
But I feel like there are many other observations left unnoticed!
If you find any, hmu on twitter: @thalamu_
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Interesting Calculations in the Script, but not Plotted on the Chart
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There are calculations for up to 60 days of OIWAP taking change in OI rather than just OI.
There's one set for absolute value of change in OI, and one set for raw change in OI.
I didn't notice anything spectacularly interesting - but perhaps you will if you tinker with it!
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Find something cool? Have an improvement?
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Hmu on twitter: @thalamu_
Cerca negli script per "美元汇率30天走势"
Relative VolumeHello traders,
"There's nothing new on Wall Street" is an age-old saying that still shows its relevance in modern day financial markets; volume still serves as a valuable tool for any trader just as it did for those that came and succeeded before us; in order to succeed in modern day markets one has to take it up a notch and dabble in complicated topics, like math. Now I dunno about you reader but I’m not keen on sitting around all day just to watch numbers on a screen; it’s pretty important to add some color into your life before it becomes dull but how can someone add colors into their trading toolkit as an aid rather than bother? With a bit of help from 3 other amazing open-source indicators you too can become a statistics enjoyer by combining math and colors to make pattern recognition much more intuitive and offering more peace of mind when trading. “Sir but how?”, glad you didn’t ask, it helps with simplifying statistics, in this case a Gaussian bellcurve
“HUH?”, you say? Alright class, Gaussian bellcurves for math dislikers 101 is in session
- Imagine that we have a bunch of numbers that we want to graph. We could just draw a line and plot the numbers on it, but that might not be very interesting.
- Instead, we can use the shape of a bell to show how many of each number we have.
- Let's say we have a lot of people and we want to graph how tall they are. We would start by making a line from the shortest person to the tallest person, and then we would draw the bell shape around the line.
- The bell shape is called a "Gaussian Bell Curve," and it shows us how many people are a certain height.
- In the middle of the bell, where it's the widest, we have the most people who are about average height. As we move to the sides of the bell, the curve gets lower because there are fewer people who are really tall or really short.
The bell curve discussed is the main idea for the candle coloring component of this indicator as being able to analyze the distribution of an entire dataset, in this case volume, can alert us when volume/participation in the market is away from its average using color, and therefore an opportunity could be present. Fair warning, it’s important to not strictly focus on volume as volume is meant to be confluence to the current structure of the market rather than causing tunnel vision.
Why 3 indicators to combine?
It starts with the RVOL by Mik3Christ3ns3n indicator as the backbone by calculating the average volume over a specified period of time, and then compares each new volume value to this average to determine whether it is above or below the average. The indicator then normalizes the volume data and calculates the z-score/standard deviation to determine whether the volume is within normal range or is an anomaly beyond a specified threshold which can also be set into an alert to aid in eyeing possible opportunities.
The code also includes Candle Coloring by Morty as it calculates a function to get the z-score for the size of the candle's body, and then compares it to the z-score for volume to determine whether the body size is a factor in the price action.
Finally, the code plots the anomalies and the normalized volume data on the chart using the first RVOL indicator mentioned, and colors the bars of the chart based on whether they are within normal range or are anomalies which comes from using code from veryfid's relative volume indicator.
Overall, this custom technical indicator is best used to identify unusual changes in trading volume, which may indicate potential price movements in the underlying.
How about some examples?
This first example is for my scalpers wanting to get in and out but not having much of an idea where or let alone how; using a tool like VWAP can be great for determining the area value to execute mean reversion trades once a speculator spots a colored candle anomaly at standard deviation band. Works best when VWAP is flat as it signals lack of conviction from both bulls and bears
This second example is for my fire and forget intraweek swing traders who want to execute a higher timeframe trend-following bias. A speculator starting 2023 off notices that the negative sentiment around Binance from late last year has quieted down and has conviction in upside after BTC began an uptrend as monthly VWAP (right chart) has began sloping up as well as a rally with momentum shown with the blue colored candle so the trader waits wait for a pullback for entry. On the chart to the left of the 4H the speculator notices a pullback into the area of interest to do business so a limit bid is left to enter for continued upside in Bitcoin through January 2023 just by keeping things simple
That’s really the main purpose of this indicator: simplicity of statistics for confluence using volume
Volume precedes price and price moves only for narrative to follow- why wait for your subjective Twitter timeline to give you a biased narrative to trade when you can use objective analysis by combining statistics and colors to allow for a cleaner execution process
“But what about risk management?” Glad you didn’t ask reader!
One last example then, we meet our trend following trader again feeling euphoric so they know profit taking season is coming soon but wants to leave emotion out of it. How to go about it? Same idea as our last trend following example: we see on the 4h chart to the right side shows Bitcoin lose and trade back within the 2nd standard deviation of quarterly VWAP which is telling our speculator that the uptrend has broken on top of which notices on the 30 minute chart on the left that aggressive market buyers have been steadily absorbed by limit sellers on multiple occasions of retesting 30,500 shown with the green colored candles and volume bars below, time to sell.
Turns out that selling was proactive risk management because price dumped thereafter
Hope this explanation gave you some useful insights on using statistics as colors from cherrypicked examples, remember that just because my examples are cherrypicked doesn’t invalidate these concepts at all as the market only does two things, initiate aggressive auctions and respond passively to auctions. This tool makes for seeing where that initiative aggressive activity is happening much simpler to deduce if others will respond to an anomaly of initiative aggressive activity or if the aggression will continue.
If there’s just one thing you take from this- simplicity above all, cheers and good luck
Dual timeframe calculated candlesA script example to show how you can calculate the value of certain indicators from a higher timeframe at the moment that a bar closes on a shorter timeframe.
In this example the base chart is set to 5 mins and the multiplier is set to 6, so the HTF arrays hold data equivalent to that from the 30 minute chart which will hopefully appear below it on this display.
Each time a 5 minute bar completes, the arrays are updated by checking whether a new high or low has been set. The values for the HTF ATR and EMA are also updated by removing the most recent value from that array and replacing it with the value that would have been calculated based on the close at that time. As such for back testing purposes you'd know exactly what the 30 min chart would have been showing you at any one of the 5 minute intervals. Useful for backtesting strategies if you would rather act on the "up to the minute" HTF data, rather than the HTF data from the last HTF close, which could be significantly delayed if you're using a high enough multiplier.
Refracted EMA for trendThis script is an evolution of "Refracted EMA" by fract, that you can find here:
The differences are in the design and intended uses of its early and pretty reliable signals.
This is a trend indicator, with signals and alerts, usable on any timeframe.
Note: 3 color themes are included: Light, dark, and my personal dark one. Feel free to change them in the code, and to remove the ones you don't need.
HOW TO USE IT?
When it gives a signal (arrow), a horizontal line starts, and expands until there's a signal in the opposite direction.
As long as the price moves away from this line, then the move should logically be profitable
If the price ranges, or turns back in direction of the line, then it might be time to reconsider.
The background colors offer a complement of information:
- When the price moves away from the line, the bgcolor is normal.
- When there has been 2 candles in the opposite direction, then the bgcolor turns a little darker. It might be an early sign of range or reversal.
- When the current price breaks through the signal's closing price, the bgcolor turns gray or black (depending on the theme and colors you chose), signaling a significative divergence with the signal, and a possible reversal. It is common though, for the first candle after the signal to go in the opposite direction. It might be a good idea to wait at least 2 candles after the signal.
You can switch the alerts on, by right clicking the chart and clicking "add alert". Alerts happen only after the close of the candle. They display the timeframe they were added on.
TRICKS
- If up and down arrows alternate quickly, then the market is undecided, and it might not be a good idea to trade. Or maybe on other timeframes.
- Trading against the indicator's direction is probably not a good idea, unless there is a very VERY good reason for this (like buying the dip of an up trend, for ex).
- Looking at different timeframes quickly reveals the bigger picture of the price movements. For ex, if the 4h, 1h, 30 min are bullish, but the 5 min bearish, then there might be a long opportunity. But if the 5 min is bearish, and the 10 min turns bearish, and the 30 min turns bearish too, then there might be a reversal on its way.
- The line can be used as a reference to decide where to place your stop loss. It is rare that the price crosses this line, but it can absolutely happen. So use this idea with caution, manage and protect your positions wisely.
- You can, and probably should, use the alerts on different timeframes at the same time, to constantly update your understanding of the trend.
DO NOT BASE YOUR TRADING DECISIONS ON 1 SINGLE INDICATOR'S SIGNALS.
Always confirm your ideas by other means, like price action and indicators of a different nature.
Custom Trading Session HighlighterThe Custom Trading Session Highlighter is a simple yet powerful indicator that allows you to visualize specific trading sessions on your chart by highlighting the background within the specified time range. This indicator can be helpful for traders who want to focus on specific market hours or analyze the market behavior during certain time periods.
Features:
>Customizable start and end times: Input your desired trading session start and end times using the format "HHMM" (e.g., "0930" for 9:30 AM). The indicator allows you to select the time range in 30-minute intervals.
>Trading session background color: The specified trading session will be highlighted with a semi-transparent green color, making it easy to differentiate the session from the rest of the chart.
>Overlay: The indicator overlays on the price chart, so it doesn't take up any additional space on your screen.
How to use:
>Add the Custom Trading Session Highlighter to your chart.
>Configure the start and end times of the session you want to highlight using the input fields in the indicator settings.
>Observe the highlighted trading session on your chart to analyze market behavior within that specific time range.
ATR by ChampBoyThis is a simple indicator that takes into account the volatility of candles and contains an error setting. Setting the error allows you to bring the value of the indicator closer to real data and detect the stock of the price movement or its absence in time. Just look at history.
Attention! After adding the indicator:
1. Click on the three dots next to the indicator name7
2. Select "move" and "move up" to make it appear on the bar/candle bar
3. Also go to "three points" and select "pin to scale" -> select "pin to right".
Now more about the setup:
Candle Length - length of bars/candles. I use 3 for more reliable information.
Smooth Length - smoothing. I use 2 for noise reduction.
Data - this is the data of the candle. I use candle close
Current/Last - drawing comes from opening the current one or closing the previous one. I use 0 - the opening of the current bar.
Percent High – this parameter is about excluding bars from the calculation, which exceed X times. I am using 1.8
Percent Low - similar, but with the exception of bars that are X times smaller. I am using 0.5.
Error - error setting. I use 30 to 42.
In any case, you can customize for yourself.
На русском языке:
Это простой индикатор, который учитывает волотильность свечей и содержит настройку погрешности. Настройка погрешности позволяет приблизить значение инидикатора к реальным данным и во время обнаружить запас хода цены или его отсуствие. Достаточно посмотреть на историю.
Внимание! После добавления индикатора:
1. Нажмите на три точки рядом с названием индикатора7
2. Выберите "переместить" и "переместить выше", чтобы он появился на панели баров/свечей
3. Также зайдите "в три точки" и выберите "закрепить на шкале" -> выберите "закрепить справа".
Теперь подробнее о настройке:
Candle Length - длина баров/свечей. Я использую 3 для более достоверной информации.
Smooth Length - сглаживание. Я использую 2 для убирания шума.
Data - это данные свечи. Использую закрытие свечи
Current/Last - прорисовка идет от открытия текущей или закрытия предыдущей. Я использую 0 – открытие текущего бара.
Percent High – этот параметр про исключение баров из подсчета, которые превышают в Х раз. Я использую 1.8
Percent Low - аналогично, но исключение баров, которые меньше в Х раз. Я использую 0.5.
Error - настройка погрешности. Я использую от 30 до 42.
В любом случае, вы можете настроить под себя.
Fetch Buy And Hold StrategyThis script was created as an experiment using ChatGPT. I actually woudn't recommend using the ai program to help you with your Pinescripts, as it makes a fair amount of mistakes. It was a fun experiment however.
The script is a simple buy and hold tool. Here's what it does:
- Everytime the rsi enters below the set treshold, a counter increases.
- The second increase of the counter happens when the price goes above the treshold, and then dips below the treshold again.
- The program would fire off a buy signal when the counter hits the number 3.
- After the buy. the counter will reset.
Lets take a look at the following example where the rsi treshold is 30:
- So the rsi dips below 30 and the initial counter is set from 0 to 1.
- The price rises which brings the rsi back to 40.
- Then another dip happens and the rsi is now 25, increasing the counter from 1 two.
- Rsi now dips to 23 and nothing happens.
- Rsi goes back up to 31, and dips back to 28 which puts the counter at 3. A buy singal is now fired and the counter is set to 0.
Advanced RSI with Volatility Bands [RedWhite]English - Introduction
This indicator uses a standard RSI of 14 periods, however, instead of using static lines of 70 and 30 to identify overbought and oversold zones, a moving average band is added, similar to the Bollinger Bands indicator.
Español - Introducción
Este indicador utiliza un RSI estándar de 14 períodos, sin embargo, en lugar de utilizar líneas estáticas de 70 y 30 para identificar las zonas de sobrecompra y sobreventa, se agrega una banda de medias móviles similar al indicador de las Bandas de Bollinger.
English - Calculation
The moving average band is constructed by calculating a moving average (default of 70 periods) on the standard RSI of 14 periods. From this average, volatility bands are applied, drawing an upper and lower band by using a standard deviation (default of 1).
Español - Cálculo
La banda de medias móviles se construye calculando una media móvil (por defecto de 70 períodos) sobre el RSI estándar de 14 períodos. A partir de esta media, se aplican bandas de volatilidad, dibujando así una banda superior e inferior mediante el uso de una desviación estándar (por defecto de 1).
English - Interpretation
When the RSI surpasses the upper band, the chart's background is shaded by default (green) to signal a possible overbought situation. On the other hand, when the RSI surpasses the lower band, the chart's background is shaded by default (red) to signal a possible oversold situation. The indicator can be customized in terms of period length, moving average values, and standard deviations. In addition, background colors can be adjusted according to the user's preferences.
Español - Interpretación
Cuando el RSI supera la banda superior, el fondo del gráfico se sombra de un color por defecto (verde) para señalar una posible situación de sobrecompra. Por otro lado, cuando el RSI supera la banda inferior, el fondo del gráfico se sombrea de un color por defecto (rojo) para señalar una posible situación de sobreventa. El indicador se puede personalizar en cuanto a la longitud de los períodos, los valores de la media móvil y las desviaciones estándar. Además, los colores del fondo se pueden ajustar según las preferencias del usuario.
English - Conclusion
By incorporating moving average bands, the indicator can provide more precise signals that are adjusted to changing market conditions. Additionally, the function of coloring the background can help traders visualize overbought and oversold zones clearly and make informed decisions accordingly. It is important to note that this indicator is not infallible and should be used in conjunction with other indicators and market analysis to make informed trading decisions.
Español - Conclusión
Al incorporar bandas de medias móviles, el indicador puede proporcionar señales más precisas ajustadas a las condiciones cambiantes del mercado. Además, la función de colorear el fondo puede ayudar a los traders a visualizar claramente las zonas de sobrecompra y sobreventa y tomar decisiones informadas en consecuencia. Es importante tener en cuenta que este indicador no es infalible y debe ser utilizado junto con otros indicadores y análisis del mercado para tomar decisiones de trading informadas.
English: For comparison purposes, the standard 14-period RSI is presented above, and below it, the standard 14-period RSI with volatility bands is shown.
Español: Con fines comparativos, se presenta el RSI estándar de 14 períodos arriba, y debajo se muestra el RSI estándar de 14 períodos con bandas de volatilidad.
English: RSI of 14 periods with a band of moving averages of 70 periods and a standard deviation with a value of 1
Español: RSI de 14 periodos con una banda de medias móviles de 70 periodos y una desviación estándar con un valor de 1
English: RSI of 14 periods with a band of moving averages of 70 periods and a standard deviation with a value of 0
Español: RSI de 14 periodos con una banda de medias móviles de 70 periodos y una desviación estándar con un valor de 0
English - Note
This indicator is inspired by Blai5's "Advanced RSI".
Español- Nota
Este indicador está inspirado en el "RSI Avanzado" de Blai5.
Advanced VWAP_Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script
Introducing the Advanced VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 2x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strategy
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably. You also have the option to make use of the trailing stop exit strategy.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from Jan 2020 until March 2023
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
- This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
- The combination of the Trend-Template and the RSI qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
- Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Hikkake Hunter 2.0This script serves as a successor to a previous script I wrote for identifying Hikkakes nearly two years ago.
The old version has been preserved here:
█ OVERVIEW
This script is a rework of an old script that identified the Hikkake candlestick pattern. While this pattern is not usually considered a part of the standard candlestick patterns set, I found a lot of value when finding a solution to identifying it. A Hikkake pattern is a 3-candle pattern where a middle candle is nested in between the range of the prior candle, and a candle that follows has a higher high and a higher low (bearish setup) or a lower high and a lower low (bullish setup). What makes this pattern unique is the "confirmation" status of the pattern; within 3 candles of this pattern's appearance, there must be a candle that closes above the high (bullish setup) or below the low (bearish setup) of the second candle. Additional flexibility has been added which allows the user to specify the number of candles (up to 5) that the pattern may have to confirm after its appearance.
█ CONCEPTS
This script will cover concepts mainly focusing on candlestick analysis, price analysis (with higher timeframes), and statistical analysis. I believe there is also educational value presented with the use of user-defined-types (UDTs) in accomplishing these concepts that I hope others will find useful.
Candlestick Analysis - Identification and confirmation of the patterns in the deprecated script were clunky and inefficient. While the previous script required the use of 6 candles to perform the confirmations of patterns (restricted solely to identifying patterns that confirmed in 3 candles or less), this script only requires 3 candles to identify and process patterns by utilizing a UDT representing a 'pattern object'. An object representing a pattern will be created when it has been identified, and fields within that object will be set for processing by the functions it is passed to. Pattern objects are held by a var array (values within the array persist between bars) and will be removed from this array once they have been confirmed or non-confirmed.
This is a significant deviation from the previous script's methods, as it prevents unnecessary re-evaluations of the confirmation status of patterns (i.e. Hikkakes confirmed on the first candle will no longer need to be checked for confirmations on the second or third; a pitfall of the deprecated version which required multiple booleans tracking prior confirmation statuses). This deviation is also what provides the flexibility in changing the number of candles that can pass before a pattern is deemed non-confirmed.
As multiple patterns can be confirmed simultaneously, this script uses another UDT representing a linked-list reduction of the pattern object used to process it. This liked-list object will then be used for Price Analysis.
Price Analysis - This script employs the use of a UDT which contains all the returns of confirmed patterns. The user specifies how many candles ahead of the confirmed pattern to calculate its return, as well as where this calculation begins. There are two settings: FROM APPEARANCE and FROM CONFIRMATION (default). Price differences are calculated from the open of the candle immediately following the candle which had confirmed the pattern to the close of the candle X candles ahead (default 10). ( SEE FEATURES )
Because of how Pine functions, this calculation necessitates a lookback on prior candles to identify when a pattern had been confirmed. This is accomplished with the following pseudo-code:
if not na(confirmed linked-list )
for all confirmed in list
GET MATRIX PLACEMENT
offset = FROM CONFIRMATION ? 0 : # of candles to confirm
openAtFind = open
percent return = ((close - openAtFind) / openAtFind) * 100
ADD percent return TO UDT IN MATRIX
All return UDTs are held in a matrix which breaks up these patterns into specific groups covered in the next section.
Higher Timeframes - This script makes a request.security call to a higher timeframe in order to identify a price range which breaks up these patterns into groups based on the 'partition' they had appeared in. The default values for this partitioning will break up the chart into three sections: upper, middle, and lower. The upper section represents the highest 20% of the yearly trading range that an asset has experienced. The lower section represents the trading range within a third (33%) of the yearly low. And the middle section represents the yearly high-low range between these two partitions.
The matrix containing all return UDTs will have these returns split up based on the number of candles required to confirm the pattern as well as the partition the pattern had appeared in. The underlying rationale is that patterns may perform better or worse at different parts of an asset's trading range.
Statistical Analysis - Once a pattern has been confirmed, the matrix containing all return UDTs will be queried to check if a 'returnArray' object has been created for that specific pattern. If not, one will be initialized and a confirmed linked-list object will be created that contains information pertinent to the matrix position of this object.
This matrix contains the returns of both the Bullish and Bearish Hikkake patterns, separated by the number of candles needed to confirm them, and by the partitions they had appeared in. For the standard 3 candles to confirm, this means the matrix will contain 18 elements (dependent on the number of candles allowed for confirmations; its size will range from 12 to 30).
When the required number of candles for Price Analysis passes, a percent return is calculated and added to the returnArray contained in the matrix at the location derived from the confirmed linked-list object's values. The return is added, and all values in the returnArray are updated using Pine's built in array.___ functions. This returnArray object contains the array of all returns, its size, its average, the median, the standard deviation of returns, and a separate 3-integer array which holds values that correspond to the types of returns experienced by this pattern (negative, neutral, and positive)*.
After a pattern has been confirmed, this script will place the partition and all of the aforementioned stats values (plus a 95% confidence interval of expected returns) related to that pattern onto the tooltip of the label that identifies it. This allows users to scroll over the label of a confirmed pattern to gauge its prior performance under specific conditions. The percent return of the specific pattern identified will later be placed onto the label tooltip as well. ( SEE LIMITATIONS )
The stats portion of this script also plays a significant role in how patterns are presented when using the Adaptive Coloring mode described in FEATURES .
*These values are incremented based on user-input related to what constitutes a 'negative' or 'positive' return. Default values would place any return by a pattern between -3% and 3% in the 'neutral' category, and values exceeding either end will be placed in the 'negative' or 'positive' categories.
█ FEATURES
This script contains numerous inputs for modifying its behavior and how patterns are presented/processed, separated into 5 groups.
Confirmation Setting - The most important input for this script's functioning. This input is a 'confirm=true' input and must be set by the user before the script is applied to the chart. It sets the number of candles that a pattern has to confirm once it has been identified.
Alert Settings - This group of booleans sets which types of alerts will fire during the scripts execution on the chart. If enabled, the four alerts will trigger when: a pattern has been identified, a pattern has been confirmed, a pattern has been non-confirmed, and show the return for that confirmed pattern in an alert. Because this script uses the 'alert' function and not 'alertcondition', these must be enabled before 'any alert() function call' is set in TradingView's 'alerts' settings.
Partition Settings - This group of inputs are responsible for creating (and viewing) the partitions that breaks the returns of the patterns identified up into their respective groups. The user may set the resolution to grab the range from, the length back of this resolution the partitions get their values from, the thresholds which breaks the partitions up into their groups, and modify the visibility (if they're shown, the colors, opacity) of these partitions.
Stats Settings - These inputs will drastically alter how patterns are presented and the resulting information derived from them after their appearance. Because of this section's importance, some of these inputs will be described in more detail.
P/L Sample Length - Defines the number of candles after the starting point to grab values from in the % return calculation for that pattern.
P/L Starting Point - Defines the starting point where the P/L calculation will take place. 'FROM APPEARANCE' will set the starting point at the candle immediately following the pattern's appearance. 'FROM CONFIRMATION' will place the starting point immediately following the candle which had confirmed the pattern. ( SEE LIMITATIONS )
Min Returns Needed - Sets how many times a specific pattern must appear (both by number of candles needed to confirm and by partition) before the statistics for that pattern are displayed onto the tooltip (and for gradient coloration in Adaptive Coloring mode).
Enable Adaptive Coloring - Changes the coloration of the patterns based on the bullish/bearishness of the specified Gradient Reference value of that pattern compared to the Return Tolerance values OR the minimum and maximum values of that specified Gradient Reference value contained in the matrix of all returns. This creates a color from a gradient using the user-specified colors and alters how many of the patterns may appear if prior performance is taken into account.
Gradient Reference - Defines which stats measure of returns will be used in the gradient color generation. The two settings are 'AVG' and 'MEDIAN'.
Hard Limit - This boolean sets whether the Return Tolerance values will not be replaced by values that exceed them from the matrix of returns in color gradient generation. This changes the scale of the gradient where any Gradient Reference values of patterns that exceed these tolerances will be colored the full bullish or bearish gradient colors, and anything in between them will be given a color from the gradient.
Visibility Settings - This last section includes all settings associated with the overall visibility of patterns found with this script. This includes the position of the labels and their colors (+ pattern colors without Adaptive Coloring being enabled), and showing patterns that were non-confirmed.
Most of these inputs in the script have these kinds of descriptions to what they do provided by their tooltips.
█ HOW TO USE
I attempted to make this script much easier to use in terms of analyzing the patterns and displaying the information to the user. The previous script would have the user go to the 'data window' side bar on TradingView to view the returns of a pattern after they had specified which pattern to analyze through the settings, needlessly convoluted. This aim at simplicity was achieved through the use of UDTs and specific code-design.
To use, simply apply the indicator to a chart, set the number of candles (between 2 and 5) for confirming this specific pattern and adjust the many settings described above at your leisure.
█ LIMITATIONS
Disclaimer - This is a tool created with the hopes of helping identify a specific pattern and provide an informative view about the performance of that pattern. Previous performance is not indicative of future results. None of this constitutes any form of financial advice, *use at your own risk*.
Statistical Analysis - This script assumes that all patterns will yield a NORMAL DISTRIBUTION regarding their returns which may not be reflective of reality. I personally have limited experience within the field of statistics apart from a few high school/college courses and make no guarantees that the calculation of the 95% confidence interval is correct. Please review the source code to verify for yourself that this interval calculation is correct (Function Name: f_DisplayStatsOnLabel).
P/L Starting Point - Because of when the object related to the confirmation status of a pattern is created (specifically the linked-list object) setting the 'P/L Starting Point' to 'FROM APPEARANCE' will yield the results of that P/L calculation at the same time as 'FROM CONFIRMATION'.
█ EXAMPLES
Default Settings:
Partition Background (default):
Partition Background (Resolution D : Length 30):
Adaptive Coloration:
Show Non-Confirmed:
JS-TechTrading: VWAP Momentum_Pullback StrategyGeneral Description and Unique Features of this Script
Introducing the VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available on TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strateg y
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from April 2020 until April 2021 (1 yr)
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
RSI is in Normal Distribution?Does RSI Follow a Normal Distribution?
The value of RSI was converted to a value between 0~2, 2~4, ..., 98~100, and the number of samples was graphed.
The Z values are expressed so that the values corresponding to 30 and 70 of the RSI can be compared with the standard normal distribution.
Additionally, when using the RSI period correction function of the 'RSI Candle Advanced V2' indicator that I made before, it shows no change in standard deviation.
RSI는 정규분포를 따를까요
RSI의 값을 0~2, 2~4, ..., 98~100 사이 값으로 변환하고 그 표본 갯수를 그래프로 표현하였습니다.
Z 값은 RSI의 30, 70에 해당하는 값을 표준정규분포와 비교할 수 있도록 표현하였습니다.
추가적으로 제가 예전에 만들었던 'RSI Candle Advanced V2' 지표의 RSI 기간 보정 함수를 사용할 경우 표준편차의 변화가 없음을 보입니다.
Reverse Relative Strength Indicator [CC]The Reverse Relative Strength Index was created by Giorgos Siligardos (Stocks & Commodities V. 21:6 (18-30)). It is a handy indicator that reverse engineers the RSI price calculation to show what the price would have to be for the RSI value to match our chosen input. You can select your chosen RSI level using the RSI Level input for this indicator. For example if you wanted to see what the price would be for the RSI value to match the oversold level then you would set the RSI Level for 30 and it will plot that price on the chart. This uses some simple math to extrapolate the price with some basic algebra from the typical RSI calculation. This, of course, is a very similar concept to my previous Reverse Moving Average Convergence Divergence script. This indicator formula can be used for any oscillator with some slight tweaking and could also be customized to show the price for overbought and oversold levels, which I will probably do in the near future. This indicator is useful in many ways such as a trend indicator as my example shows or for a price projection tool. For example, if you had a current RSI level of 66 and it was going up and you want to see what the price would be if it reached the overbought level then you could do that. Let me know what works well for you and if you have any suggestions for how to further improve upon this script. I have included darker colors to show stronger signals and lighter colors to show normal signals. Buy when the line turns green and sell when it turns red.
I have a bunch of backlogged scripts that I'm trying to publish, so I figured I would focus on my RSI scripts since I have a bunch, so be prepared to see a bunch of those over the next week or so. Let me know if there are any other scripts you would like to see me publish!
Typical Sweeps: Pivot high/low boxes. Grade sweeps, Handles/PipsTool to show typical pip-grade/ handle-grade sweep distance above pivot highs and pivot lows
-In consolidation/ranging periods (i.e. most of the time); Highs/Lows may by swept by fairly consistent distances in typical stop raids.
-Idea is from ICT teaching on typical Pip-grade sweeps in FX (10,20,30pips). Designed to work on FX, Indices, Commodities, Bitcoin.
-Above chart shows S&P; sweeping below and then above by 5 handles.
///inputs///
~choose sweep distance handles ($) or pips: will auto-calculate depending on the asset: FX= pips; Indices/stocks/commodities = handles ($)
--(2,5,10,20,30,50,100, 500, 1000)
~choose pivot lookback: larger number for more significant swing highs/lows
~choose number of historical boxes to display
~toggle on/off Pivot high boxes and Pivot low boxes independently
~extend boxes fully to the right (default is not extend)
~toggle on/off text
~text & box formatting options
Bitcoin, hourly chart; Pivot lookback = 15; $100 sweep boxes:
Eur/Usd; 15m chart; Pivot lookback = 30; 10pip sweep boxes; Boxes extended fully to the right:
Drip's 11am rule breakout/breakdown (OG)This indicator is based on Drippy2hard's 11:30 am (EST) rule.
In simple terms the rule states that:
If a trending stock makes a new high after 11:15-11:30am EST, there is a 75% chance of closing within 1% of High of day (HOD). Same applies for downtrend.
Please note:
Not all stocks will abide by this, this is backtested on stocks with avg daily volume > 2M and mostly mega cap stocks which have liquid option chains. The backtesting results show very promising results on $SPY/ $SPX so it is advised to trade $SPY/ $SPX using this indicator over any other stocks.
Although the name suggests 11 AM rule, the backtesting shows higher win rate for 11:30 AM so please select that option in the settings.
As always, no indicator is perfect and please follow your risk management and understand that indicators are tools to aid your trading and by no means they are supposed to work as intended in all scenarios
How the script works
1. A HOD/LOD zone is identified based on regular session (9:30am-11:30am) EST. Users can select cut off time to 11AM in the settings. These will be indicated on chart after 11/11:30pm depending on what user selected
2. If the stock breaks above the HOD and the ADX is showing strong momentum to upside then the candlesticks will start showing neon color, if the trend based on moving averages and candle closing is also bullish then the indicator will show trend arrows under the candle indicating to stay in the trade. Same applies for break below LOD, only the colors will change to represent downtrend.
3. An optional cloud is also shown if the trend is developed. The cloud can be used as trail stop or re entry point as long as it is displayed on chart
How to use the indicator in trading
In general, there are three scenarios which are trade worthy
1. If the stocks breaks out above the HOD zone and up trend develops or the stocks breaks below the LOD zone and downtrend develops. See images below
2. You can also use the LOD/HOD zone as demand/ supply if the Price action is range bound like this example below
Thanks for reading, please give thumbs up if you like using it! Please post comments on how to use it.
Advanced ADX[Intellection]█ OVERVIEW
"ADX" is a popular technical analysis indicator used to determine trend strength.
Advanced ADX is divided in two main sectors:
Default ADX
Higher time frame ADX analysis and trend phase
█ DESCRIPTION
You have two ADX's, One has the same time frame as your chart and the other one can be set by yourself in settings, Named Vision time frame.
Default value of "Vision ADX" is on 240minutes means 4hour, We recommend for time frames less than 1h using 4h "Vision time frame".
"Vision main plot" is also based on higher time frame analysis. The higher time frame analysis uses a combination of Three exponential moving averages (67, 89 and 111 periods) and the ADX to determine the position for long or short trades. The "Vision main plot" is shaded and changes color:
Green means bull phase
Red means bear phase
Gray means not defined or neutral
█ TRADING GUIDES
You can filter your signals based on "Vision ADX" value and color
Some trading tips:
When in green zone we don't recommend going short or just lower your risk for short positions. Simply for when ever your position is opposite of the color.
When ADX stays for a long period under 30 then it crosses 30 you might consider a volatility is about to come!
Good volatilities come when there is huge distance between default "ADX" and "Vision ADX"
█ Recap
"Advanced ADX" indicates three analysis:
1-Indicates default "ADX" based on your time frame.
2-Indicates higher time frame "ADX" based on the time frame you choose in settings.
3-Indicates higher time frame trend phase.
Don't forget to take time and learn it before trading it.
Moving Average Cross and RSIThis is the updated version of the MAC cross Short/ Long indicator i had posted earlier in 2022.
This script includes a RSI and EMA of the RSI with fixed OB and OS Levels.
The purpose is to refine the amount of trades taken from the moving average cross on the 30 minute timeframe.
In the overlay, the red and green dots indicate weather the moving cross is a long or a short signal.
The theory when back tested is:
When the short signal is given, the EMA must be below 30 to enter a short.
When the long signal is given, the EMA must be above 64 to enter a long, anything in between is a false signal.
Only the first dot is meant to be a long or a short signal, not meant to be interpreted as being consecutive.
The data window is meant to be built in a way to easily set up indicators or strategies using Tradelab.ai software.
RSI Multi Alerts MTFThis indicator won't plot anything to the chart.
Please follow steps below to set your alarms based on RSI oversold and overbought levels:
1) Add indicator to the chart
2) Go to settings
3) Choose up to 8 different symbols to get alert notification
4) Choose up to 4 different timeframes
5) Set overbought and oversold levels
6) Once all is set go back to the chart and click on 3 dots to set alert in this indicator, rename your alert and confirm
7) You can remove indicator after alert is set and it'll keep working as expected
What is does:
This indicator will generate alerts based on symbols, timeframes and RSI levels settings.
It will consider overbought and oversold levels to alert in each symbol and each timeframe selected. Once these levels are achieved it will send an alert with the following information:
- Symbol name (BTC, ETH, LTC)
- Specific RSI level achieved (e.g: RSI 30, RSI 70 or any custom level)
- Timeframe (e.g: 5m, 1h, 1D)
- Current symbol price
This script will request RSI OB/OS information through request.security() function from all different symbols and timeframes settings. It also requests symbols' price (close).
Due to Tradingview limitation (40 requests calls) it can only request information for 8 symbols for this script (8 symbols X 4 timeframes = 32 + 8 symbols' price (close) = 40)
Standard symbols are Binance USDT-M Futures but you can choose any symbol from Tradingview.
Standard timeframes are 5m|15m|1h|4h but you can choose from a list.
Standard overbought and oversold levels are 70 and 30 but you can change it to other integer values.
Feel free to give feedbacks on comments section below.
Enjoy!
Bull Trend Filtered StochRSI (BTFS)Ride Bull Trends Via Stochastic with Special Rules for Heavy Bullish Bias
TLDR: Long Only Trend Indicator Where you are always entered Long if the stochastic is over the lower band line and the price is above the Donchian Chanel high. Exit when Stochastic RSI is below the lower band.
Indicators:
Filter = Trend/Bullish indicator is Donchian of ema(high) this is set as the highest ema(high, 6) in the last 30 candles. this can be adjusted to fit the market as desired.
**indicator prints green background when the filter condition is satisfied***
Entry Exit = enter when the Stoch RSI is above the given lower trend band. This value is set at 35 but can be adjusted according to risk tolerance and market conditions.
Logic:
this indicator allows a trader to be present during bullish/parabolic trends by only triggering if the close is > than the highest 6 candle average high over the last 30 candles. This filter requires the market to be in a generally bullish posture. If the market is in this condition the stochastic RSI indicator value offers a good gauge of price action and only goes significantly down if price trends below the average range of the rsi period. This filters out noise and keeps a trader from over trading on inconsequential corrections while responding fairly quickly to changes in general trend direction. the response is fast enough to produce an unprofitable amount of false signals if the bull market filter is not implemented. However when used in combination the signals return desirable results in bull trending markets.
Hope this Helps. Happy Trades.
-Snarky Puppy
Stoch RSI 15 min - multi time frame tableABOUT THIS INDICATOR
This indicator calculates the Stochastic RSI for the time frames 15 min, 30 min, 1h, 4h, and 12h. However, the 15 min time frame should always be the default time frame for your chart.
IMPORTANT
* NOTE! It's extremely important that the chosen time frame for your chart is 15 min. Otherwise the Stochastic RSI for the longer time frames won’t be correctly calculated.
* Stochastic RSI will be calculated and displayed in a table for the time frames: 15 min, 30 min, 1h, 4h, 12h.
* All time frames are based on closed bars except the "15minR" that are realtime updated values calculated on a 15 min time frame.
ABOUT STOCHASTIC RSI
The Stochastic RSI (StochRSI) is a momentum indicator that ranges between 0 and 100. A Stochastic RSI value above 80 is considered overbought and below 20 is considered oversold.
By using different time frames you can get a better idea of what direction the trade could take in a "longer" perspective.
SETTINGS
1.) Length RSI = 14 (default period)
2.) Smoothing parameter of Stochastic RSI (Length Moving Average = 3) . Moving average of stochastic RSI
* By default the displayed Stochastic RSI values are smoothed values of the actual Stochastic RSI. The smoothnes is formed by a calculated moving average of with the length of 3 by default.
If you want Stochastic RSI with a sharper signal (higher risk for "false alarms" being more sensitive) change the Length Moving Average to = 1 (no smoothness at all)
You can see the selected "Length RSI" and "Length Moving Average" on top of the Stochastic RSI table.
Next version of this script will be updated with more a more flexible solution for different time frames.
* NOTE, Tradingview comes with a inbuilt Stochastic RSI. See the the chart below. The blue line in the Stochastic-RSI chart represents (K value = 3) the same value as the script calculate/display in the table.
Open DriveOpen Drive is a market profile concept introduced by Jim Dalton. It occurs when the price moves directionally and persistently for the first 30 minutes from the cash market open.
It is necessary to use 30-minute bars as there needs to be enough time to measure an extreme move of the cash open. This means there will be fewer trades than other strategies using faster time periodicities.
The script finds open drives from these time points 0700/ 0800 and 1300/1430.
The entry signal also has a breakout threshold using the 5-bar high and 5-bar low to only take trades moving away from the prior 5-bar range. This weeds out most mid-range trades and small range expansion bars.
If the price has had a strong move from the open and has broken either below the prior 5-bar low or above the prior 5-bar high by an amount equal to the prior 5-bar range a trade is entered in the direction of the move.
The Exit criteria; exit after 3 bars which is 90mins when using a 30min periodicity.
Note, this script is shared to show that momentum generated on or around the cash open tends to persist. The entry and exits of this strategy are quite naive but there are plenty of ways to take more aggressive entries on faster time frames when an open drive occurs. The times chosen for this strategy will suit stock index futures mainly. The user can experiment with other futures products and their corresponding pit/ cash open hours.
Google "open drive market profile" for more information on open drives and market profile concepts.
Happy trading!
Bands Bands (BanB)This indicator uses bands to show the trend of other bands.
The middle bands are used to show the price trend and the other bands are for the middle bands.
The Spike and Plunge bands can also act as a sort of "Bollinger Bands" for middle bands, though not exactly.
----- HOW TO USE IT -----
Zoom out in the 30 minute chart. Use 15 minute chart to pinpoint your entries.
Use with price-action trading and with indicators showing overbought & oversold levels.
The numbers below correlate with the numbers in the chart.
1) Price hits the Middle Spike line. The "ARL" bands hit the Bottom Spike line. This is a good indication that price will proceed under the Bottom Spike line.
2) Price hits the Bottom Plunge line. The "ARL" bands hit the Middle Plunge line. This is a good indication that price will proceed above the Middle Plunge line.
3) Notice how price spikes up near the Spike lines but doesn't touch. Notice how the Plunge lines have a strong pull downwards. This shows a continued down trend.
4) The same pattern as numbers 2 & 3 reoccur. This time, however, the proceeding price spike is substantially lower.
5) The price and middle bands finally bounce off the Top Plunge line and starts to get closer to the Spike bands.
6) Price and middle bands finally touch the Bottom Spike line and the Spike Bands and the Plunge Bands come closer together.
7) Narrowing Spike and Plunge Bands show a sideways market. Notice number 1, the bands are far apart -- more volatility is present.
Middle Bands:
The bottom, blue lines are fairly accurate dip-rebounds on the 30 minute chart. Use level indicators to find reversing trends (e.g., RSI, Stoch, etc.).
Price action hovering in between the blue lines and around the center indicate a low volatility market or a consolidating market.
----- HOW THIS INDICATOR IS ORIGINAL; WHAT IT DOES AND HOW IT DOES IT -----
This indicator has an original, unique ability to view the trend of bands in a substantially larger overview when zoomed out.
Normally, one would have to switch to higher time frames to get a sense of a larger market trend.
However, doing so will change any bands indicator to accommodate the new price action in relation to the new time frame.
To avoid this, the middle bands are placed in between two bands to see the trend of the bands that show the trend of price action.
----- VERSION -----
The "ARL Bands" in this indicator are NOT the same as the "ARL Bands" indicator.
They are "ARLs" set in an entirely different context, format, and amount and so does not constitute as a different version of "ARL Bands".
The "ARL Bands" indicator only has 4 lines and can be adjusted to any level. They are mainly focused on rebounds at desired levels.
The 13 "ARLs" here cannot be adjusted and are mainly focused on anticipating/calculating probabilities of peak and dip rebounds.
If any discrepancy should arise, let it be stated here that the "ARLs" in this indicator are considered to be a forked codebase to conserve the functionality of "ARL Bands".
This is proven by the differences described underneath "VERSION", which is located 7 lines above.
Index_and_Commodity_PricesThis indicator shows real-time current day-to-day performance of 18 different indices and commodities . Here is the list of different sector ETFs that this indicator tracks
/////INDEX//////
1. BİST-100 - XU0100 - TR- Index
2. BİST-30 - XU030 - TR - Index
3. VİOP-30 - XU030D1! - Index
4. DJI - Dow Jones - Index
5. DAX - DAX Index
6. VIX - Volatilite S&P Index
//////FOREX MARKET/////
7. DXY - U.S. Dollar Index
8. EURUSD -
9. BTCUSD -
10. XAUUSD -
11. XAGUSD -
//////COMMODITY///////
12. BR1! - Brent
13. NG1! - Natural Gas
14. HRC1! -
15. ZW1! -
16. HG1! -
17. DJUSCL -
///////OTHER///////
18. US10Y -
