Jerry J8 30-123 Spy Dashboard ProPlease watch the J8 Scalping Tutorial Video below for a walkthrough on how these indicators work.
This script is used in conjunction with Jerry J8 30-123 SPY Scalping PRO” Indicator(which creates the buy and sell orders as a strategy). The Dashboard shows the 4 main criteria statuses from the strategy. I find the dashboard makes scalping the SPY much easier.
This study project is designed for scalping options that expire daily with bull put and bear call credit spreads on a 3 minute chart. The name 30_123 is a reference to 4 main criteria being met to give a green light for a potential trade. The criteria:
* 30 = 30 minute trend
* 1 = 3 minute trend
* 2 = Moving average criteria
* 3 = RSI criteria
4 = Secondary trend. Bonus if in sync but not a requirement.
* The strategy also utilizes momentum as a criteria but this is not shown on the dashboard.
This indicator is designed to trade options that expire daily including the SPY, IWM, QQQ, and NDX. However, it can be used with multiple symbols on a 3 minute chart.
When the 30_123 conditions are all green with all criteria are met a bull signal is created.
When the 30_123 conditions are all red with all criteria are met a bear signal is created.
This study is the dashboard that is designed to show how the main J8 strategy indicator is working and it shows which criteria have been met. Additionally there are multiple user INPUTS that you can adjust for the 4 main criteria plus inputs to help you with your credit spread criteria.
For example, if the SPY is at 400 we could have an order to sell a BULL PUT CREDIT SPREAD and I would likely sell the 398p and buy the 397p; The 398p delta would be approximately -.2. The spread position profits with any close over 398 and/or can be closed early with a bullish price move. IMPORTANT: If the SPY closed the day at $399 on the chart it would look like a loss based on the buy and sell orders but the spread would be a full profit since the close was above 398.
---- IRON CONDOR
For the SPY ticker only an iron condor label is generated when the SPY is trading sideways and meets specified criteria. When the criteria is met the Iron Condor label appears and it provides a recommendation for what option to buy and sell. The iron condor recommendations can be adjusted with user inputs.
This Indicator dashboard shows the criteria labels and colors the criteria as green if bullish and red if bearish. When the criteria are not met the dashboard shows “NO CLEAR SIGNAL”. There is also a label that shows whether you are looking for bullish or bearish positions based on the 30 minute trend.
The chart shown on the indicator is the RSI and for this indicator an RSI over 50 is bullish and under 50 is bearish. The line color shows the RSI trend. RSI OB (overbought) and OS (oversold) areas are shaded. The RSI can remain in an OB or OS state for a prolonged period and while some people use OB and OS as a reversal signal I use it as a strong trend indication and recognize it will not last forever. You can SET the OB and OS levels with inputs.
---- USER INPUTS
Paint Bars: Turns on/off the candle coloring. Default is OFF.
Iron Condor Settings: Defaults are what I use and can be used as a guide.
Criteria: Trend, moving averages, and RSI settings can all be adjusted.
---- SETUP & HINTS
Add "Jerry J8 30-123 SPY Scalping PRO” indicator to show bull and bear signals
Add "Jerry J8 MACD Optimal Entry Zone” indicator to show best MACD range for entry
I also like to add "Jerry Momentum Dream" indicator to see the momentum
With this indicator we’re looking for the 30, 1, 2, and 3 criteria to be met which increases our likelihood of success. IMPORTANT. Never automatically enter a position without reviewing the other indicators and drawing your own conclusions. You want to choose the entries that are the most appealing to you that take into account volume, time of day, and risk/reward. Positions should be closed based on your risk/reward goals.
Indicators are not a magic pill and should be used to support trading decisions, not to make them for you. Past performance is not a guarantee of future returns. The results of individual stocks/indexes with any strategy do not constitute proof they will repeat in the future.
DISCLAIMER: The information contained in our scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. Trading and investing in the stock market and cryptocurrencies involves substantial risk of loss and is not suitable for every investor. I’m NOT a financial adviser. All trading strategies are used at your own risk.
Please Use the AUTHOR’s INSTRUCTIONS link below for more information.
NOTE: The PERFORMANCE SUMMARY below does not accurately reflect the trading strategy because the entry orders generated in the strategy are based on the stock price and our actual order is a credit spread that is profitable even if the price moves against us a little bit. What could show as a loss in the strategy could be a profit in the credit spread.
Cerca negli script per "profit"
PriceCatch MDCPLevelsv1Hi TV Community!
I am sharing a script that is aimed at swing/positional traders who only take long positions.
This script helps you to get a view of price drops in percentage points from a recent major high an instrument has made. The high is captured using Modified Donchain Channel Calculation. When an instrument is going down, traders are always interested to know how much it has dropped in percentage terms and this script helps in addressing this requirement.
With this script, simply by looking at an instrument on the chart, you can tell how far down it is from its recent major high. So, if a fundamentally strong instrument has dropped 30% due to market dynamics, that might be a level for you to consider a buying opportunity.
SAMPLE CHARTS
User Configuration
Period
Set the Period (historical bars) for the script to find a major high. Intermediate highs that the instrument makes are ignored so as to give a longer duration price action range.
Drop percentages
Enter 5 levels of drop percentages as per your trading style / choice. Generally, the default setting of 10, 20, 30, 40, 50 are good with most instruments.
Locking Profits & Exiting positions
A difficult aspect of trading is locking profits and exiting positions when your trade is in profits. Most traders are reluctant to close their positions due to greed and hope or prematurely close them due to fear. In both cases the decision is based on emotion rather than on systematic rules. It is worth remembering that exits are equally important as entries.
PriceCatch MDCP Levels script also addresses this problem faced by traders and does so in a unique way. Specifically as many traders usually like to compare returns with other forms of investment such as Bank Fixed Deposit interest rates, this script helps you to enter current Fixed Deposit Interest Rate and then plots those levels also on the chart. So, when a trader takes an entry at the 30% drop level, the profit levels plotted on the chart helps the trader set proper targets to close the trade. For example, if you have entered 6.75 as FD rate, then the script will plot 6.75% gain level over 30% level to give you visual clue which serves to help you set your targets immediately after your buy trade has executed.
NOTE: If you wish to close a trade when price reaches 5% above buy price, you can enter 5 in the Current Bank FD Rate field. The idea of FD Rate is to give you satisfaction that the trade gave you profits equalling FD Rate for which you would have to normally wait 365 days if you had opened an FD instead of taking the trade.
Style Tab
From the style tab you can hide some levels that you do not wish to be shown on the chart.
Visibility
From the Visibility tab you can control on which time-frames only, this script displays the levels.
Advantages
For positional traders who trade only on fundamentally strong stocks, this script should be of use due to the way it helps you see price action and also enable you to take trades at potentially good levels.
NOTE:
As with any other indicator, please satisfy yourself thoroughly that it works for you before you decide to deploy PriceCatch MDCP Levels on your chart. The script is shared without any warranties that it will be of use to you. As a trader you are aware that trading is more about the trader than any strategy; trading involves financial risk and that you are solely responsible for your actions. If you agree to the above, please feel free to use PriceCatch MDCP Levels.
QUERIES / COMMENTS
Please feel free to reach out to me with any queries or comments. All the best with your trading.
Regards
PriceCatch
Honeybridge WickFill & Momentum Shift IndicatorAs the creator of this script, I am proud to introduce the "Honeybridge WickFill & Momentum Shift Indicator," a powerful tool for traders looking to capitalize on market opportunities using these two proven strategies.
WICK FILLS
First, let's take a closer look at the WickFill method. In financial markets, candlestick charts are a popular way to visualize the price movement of a security, derivative, or currency over a specific time period. Each candlestick on the chart is composed of a real body and shadows, with the top of the upper shadow representing the highest price paid during the time period, and the bottom of the lower shadow representing the lowest price paid.
The WickFill method involves placing market orders at the closed price indicated by the candlestick. This means that if a trader using this method sees a long upper wick on a bullish candlestick chart, they may place a buy market order at the closed price of the candlestick with the take profit target at the candlestick high price (the highest price paid during the time period), in the belief that the price is likely to rise. Similarly, if they see a long lower wick on a bearish candle, they may place a sell market order at the closed price of the candlestick with the take profit target at the candlestick low price (the lowest price paid during the time period), in the belief that the price is likely to fall.
The idea behind the WickFill method is that the wicks of candlestick chart patterns can provide valuable information about the price action of a security and the sentiment of market participants. By placing market orders at the prices indicated by the candlesticks close, traders using this method hope to capitalize on potential price movements and maximize their returns.
The image below highlights two Wick Fill opportunities. A signal will be provided at the candle close that says: 'Sell WF' or 'Buy WF'.
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MOMENTUM SHIFT REVERSAL
Now, let's turn to the Momentum Shift method. As the name suggests, this method involves identifying changes in the momentum of the price of a security. Traders who use this method are looking to capitalize on shifts in the strength or direction of the price momentum.
There are various ways to trade based on momentum shifts. For example, a trader may look for a security whose price is trending strongly in one direction and then look for a momentum shift that signals a change in the trend. They may then enter a trade in the direction of the new trend, hoping to ride the momentum of the price movement. Alternatively, a trader may look for a security whose price is moving in a range and then look for a momentum shift that signals a breakout from the range. They may then enter a trade in the direction of the breakout, hoping to capitalize on the momentum of the price movement.
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WICK REJECTION REVERSALS
A second Momentum Shift method is the concept of wick rejection reversal trading opportunities. This is a powerful technique for traders looking to capitalize on market opportunities.
So, what exactly is a wick rejection reversal opportunity? Essentially, it is a situation in which the price of a security rejects a wick (or shadow or tail) of a candlestick chart pattern and then reverses direction. For example, if the price is trending upwards and then encounters resistance at a certain level, it may create a long upper wick on a candlestick chart. If the price then falls back below the level of resistance and continues trending downwards, this could be considered a wick rejection reversal opportunity.
Traders can use the Indicator and signals provided to identify wick rejection reversal opportunities by defining certain conditions. For example, the code includes conditions for identifying a "sell reversal" based on the presence of a green candle with a long upper wick, and an RSI value above a certain threshold. This type of setup may indicate that the price is rejecting the resistance represented by the long upper wick and is likely to continue trending downwards.
Similarly, the code includes conditions for identifying a "buy reversal" based on the presence of a red candle with a long lower wick, and an RSI value below a certain threshold. This type of setup may indicate that the price is rejecting the support represented by the long lower wick and is likely to continue trending upwards.
Traders can find wick rejection reversal opportunities particularly beneficial for several reasons. First, these opportunities can provide clear entry and exit points for trades, which can help traders manage risk and maximize their returns. By identifying a specific level of resistance or support that has been rejected by the price, traders can have a clear idea of where to place their orders and where to set their stop-losses.
Second, wick rejection reversal opportunities can be a reliable indicator of market sentiment and direction. By considering the wicks of candlestick chart patterns, traders can gain a deeper understanding of the forces at work in the market and how market participants are reacting to them. This can help traders make more informed decisions about when to enter or exit trades.
Finally, wick rejection reversal opportunities can be found in a variety of market conditions and across different financial instruments. Whether the market is trending, range-bound, or volatile, traders can use this indicator provided to identify wick rejection reversal opportunities and capitalize on them.
In conclusion, wick rejection reversal opportunities are a valuable technique for traders looking to capitalize on market opportunities and improve their returns. By using the indicator provided and considering the wicks of candlestick chart patterns, traders can identify clear entry and exit points, understand market sentiment, and trade across different market conditions and instruments.
The image below depicts two sell opportunities, the top left is a Momentum Shift example and the top right is a Wick Rejection example. A signal will be shown on the chart at the candle close that says: 'Sell R' or 'Buy R'.
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CONCLUSION
So why might traders find the WickFill and Momentum Shift methods useful? There are several reasons. First, these methods can help traders identify potential trade opportunities that may not be immediately apparent from a simple analysis of price trends or chart patterns. By considering the wicks and momentum of a security's price movement, traders can gain a more nuanced understanding of the forces at work in the market and make more informed decisions about when to enter or exit trades.
Second, the WickFill and Momentum Shift methods can be used in conjunction with other technical analysis tools and techniques. For example, traders may use moving averages, oscillators, and trendlines to help confirm the presence of a WickFill or Momentum Shift opportunity. This can help traders increase the reliability and profitability of their trades.
Finally, the WickFill and Momentum Shift methods can be applied to a wide range of financial instruments, including stocks, forex, futures, and more. This versatility makes them useful for traders with diverse investment portfolios and strategies.
Overall, the WickFill and Momentum Shift methods are powerful tools for traders looking to capitalize on market opportunities and improve their returns. By considering the wicks and momentum of a security's price movement, traders can find profitable trading opportunities.
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FINAL COMMENT
Just like any other indicator or strategy out there, please consider the timeframe and asset that you are using this indicator with. Higher timeframe price action is more reliable than lower timeframe price action. For example, the 4H and Daily timeframes will provide more reliable signals than the 5m timeframe. With regards to assets, the indicator works extremely well with Forex pairs and Commodities, such as Gold.
I hope you enjoy the indicator.
Professional Zones - Institutional Demand and Supply Imbalances
Intro to Supply and Demand Zone Technical Analysis
Supply and demand is an increasingly common strategy among day and swing traders in equity, forex, and the futures markets. The goal of analyzing supply and demand zones is to pre-determine where price action may pivot before that pivot happens, thus giving us an edge over the market. There are many unique charting/trading strategies that fit under the supply and demand umbrella, however we are going to focus primarily on Institutional Zones of Demand and Supply Imbalances, as this is what our TradingView indicator actively displays.
What are Institutional Zones of Demand and Supply Imbalances?
First, let’s break down the phrase above. The first word is ‘institutional’, which is a key aspect in our trading. As a retail trader, you must understand that retail traders (individual traders like you and I) have very little control and very little effect on price action in the major markets. The price action that we see everyday is caused by large institutions and hedge funds buying and selling equities in massive quantities.
This chart displays the price action for ES, which is the S&P500 E-mini futures .
At the time this guide was created, that chart for ES displays the low of this year (2022). You can see major highs and major lows, as well as steep drops and momentous runs.
Price action like this appears random to the naked eye, however it is all controlled by major institutions. These institutions place large buy and sell orders for markets such as the S&P 500 Index which causes these moves.
Our Institutional Demand and Supply Analysis attempts to discover the price zones where institutions have placed their buy/sell orders. Their buy orders create “demand zones”. And their sell orders create “supply zones”. Knowing where these zones exist allows us to anticipate price trend reversals so we can profitably participate in them alongside the major institutions when these key moves take place.
We are looking for areas in the chart where institutions have created major imbalances (more buy orders than sell orders or vice versa) which creates demand and supply zones that impact price action and trend reversals in predictable ways.
What Causes These Supply and Demand Zones?
Understanding that institutions control the price of the markets is crucial for understanding how these zones of supply and demand imbalances are formed, and it can be derived from historical price action.
There are two types of price action, balanced and imbalanced. Balanced price action is flat, consolidatory price action where the overall direction is sideways. Imbalanced price action is an exaggerated move in price either up or down. Now here is the key: institutional supply and demand imbalances are formed when price action goes from balanced to imbalanced. Below is an example of balanced price action .
There are clearly areas of institutional buy and sell orders that are causing price action to oscillate between the areas of demand and supply. The longer price action consolidates and moves sideways, the larger the volume profile will be in this range. In other words, more institutional orders will build up as price remains relatively the same for a longer period of time.
Here is how a demand zone is formed :
Due to bullish CPI news, price action went from balanced to imbalanced by exploding to the upside. This bullish price action filled all of the sell orders and broke past the previous area of supply. Because price moved up so fast, the buy orders did not get a chance to fill, essentially leaving an area with a high concentration of buy orders remaining. Hence, a new demand zone is formed which is shown here .
Our state-of-the-art indicator automatically scans for these historical shifts in price action (balanced to imbalanced) via our supply and demand zone detection formula, and displays them on your chart instantly. Remember the first image sent of blank price action? Here it is below:
The image below shows the exact same chart of ES, however, our advanced Professional Zones - Institutional Demand and Supply Imbalances indicator has been applied to the chart.
Just like that, price action has been transformed from unexplainable chaos to an orderly sequence of demand bounces and supply rejections.
Yes, all of these zones may be charted manually if one were to acquire the knowledge required to chart them by hand, and spend numerous hours going back in time to find all these zones. Additionally, these charts would then have to be constantly monitored and updated, which would require hours of work each day. This powerful indicator automates all of that work to give you more precious time to analyze and trade these zone-driven pivots in the markets.
How To Measure the Strength of Supply and Demand Zones?
The longer the consolidation takes place, the larger the demand/ supply zone will be. This strength is measured by the time frame of the origin of the zone.
Each zone may be formed on a different time frame, the biggest being the 1 Month time frame, and the smallest being the 30 Minute. Each supply and demand zone is automatically labeled based on the time frame from which the zone originated.
The weakest zones are derived from the 30 minute time frame. This means the zone only took two 30 minute candles to form, which is not a lot of time for institutions to place large orders. This means that the bounces and rejections off of these zones will usually be smaller, and usually won’t last more than a few days.
Larger zones such as 1 Day, 1 Week, and 1 Month often cause large swings in the market lasting weeks, months and even years. So pay attention not just to where the demand and supply zones currently appear, but also to the strength of that zone. You can see below that the demand zone that the market bottomed in and reversed out of in 2022 was in fact, a very strong weekly zone.
What is the Significance of Supply and Demand Zone Breaks?
These zones are order-based. This means that a supply zone level doesn’t turn into demand when price action breaks above it, and demand doesn’t turn into supply when price action breaks below it. It is unlike standard trend-based support and resistance levels. If price action breaks below demand by even $0. 01 , all of the buy orders have been filled and the demand must be deleted from the chart (and vice versa for a supply zone ).
While it is possible to play these zone breaks as continuation plays off of current momentous price action, it is unpredictable how far price will go up or down after breaking supply or demand during that leg.
However, in my years of supply and demand experience, I have noticed that if demand breaks, the market will eventually come down to the next viable demand zone . This is because without a pivot caused by an institutional-created demand or supply imbalance, there is often not enough participation to cause a sustainable trend reversal for a long period of time. Below is an example of this:
Above is the 4 Hour chart of TSLA bouncing up off of a demand zone . We call this a bounce in “no man's land”, as there is no major demand bounce to support this reversal to the upside. So in theory, price action should return lower to the next major historical zone of demand before it has a chance of pulling off a solid reversal. Here is what happened:
As you can see above, TSLA did indeed end up heading back down into the next major demand zone before getting a sustainable reversal to the upside. So you may play these supply and demand zone breaks as continuation trades, either long or short, with a price target at the next major zone. Just make sure to use proper risk management and position sizing, as timing the trigger of a price target can be difficult.
How Might I Place a Trade Using the Indicator?
Now that the basics of institutional supply and demand zones have been discussed, there will come a time that this strategy must be actively applied to personal trading with a goal of becoming profitable. Here is a step-by-step process to place a trade using supply and demand paired with an example of a day trade from the 1 minute time frame.
Step 1: Find a highly institutionally traded stock that is currently in supply or demand as shown by our indicator. For example, AAPL:
Step 2: Look for an above-average (exaggerated) volume spike. Because we are in one of the green zones at the bottom of the chart, we know that we are in demand where large institutional buy orders reside. We need to wait for some of these orders to actually fill before we take our trade. This is known as volume confirmation. The color of the volume usually does not matter in this situation.
Step 3: Now that we have a volume spike which is confirmation of large orders being filled, we need more confirmation that the institutional orders are not only a buy, but large enough to actually reverse the current trend.
This is ultimately a judgment call. A few green candles may be good enough to dictate a reversal, or a trend break. It comes down to personal preference and how aggressive you would like to be. Keep in mind, the longer you wait, the more confirmation your trade has, but also, the longer you wait, the greater the risk of missing the new trend. In this example, we will use a trend line to confirm our trend reversal.
Step 4: Enter the trade. Now that you have proper demand confirmation, you may place your trade. Be sure to determine your stop loss, price target, position size, and all other risk management factors along the way.
In this example, AAPL ran all the way up to supply before rejecting; making for a perfect demand to supply call trade. Also, more short trade entries could have been taken based off of the multiple supply rejections AAPL had.
The Bottom Line
There are many ways one may go about trading the stock market. However in my years of trading and teaching, there has never been a strategy that has not only changed my career, but improved the trading careers of my students, more dramatically than Institutional Zones of Demand and Supply Imbalances.
Though charting new zones and deleting broken ones everyday was time consuming and repetitive, the results of trading these zones made it well-worth the hours of charting. However, after months of development and fine-tuning, the painful charting process has been automated by this powerful indicator, completely replacing the tedious charting work for myself and my students.
While numerous other indicators include the name “Supply and Demand Zones”, we believe that no supply and demand indicator remotely this advanced and accurate available on TradingView. I am very blessed to finally bring this revolutionary tool to the market.
Introduction to the Aurora Demand and Supply Indicator for TradingView and its Functionality
This page is dedicated to providing a thorough walk-through of our Professional Zones - Institutional Demand and Supply Imbalances indicator. The settings functionality, customizability, and purpose will be discussed to give you an in-depth understanding of the indicator. Understanding the purpose of the different functions and settings is crucial to utilizing this powerful tool at its full potential.
First Look Upon Indicator Addition
After purchasing the indicator, your chart may initially appear cluttered, zoomed out, and hard to read. But do not worry, it just means the indicator settings must be fine-tuned to optimize your experience. Tt may appear overwhelming. However this page will discuss each major customizable setting and the functionality behind it to streamline your TradingView set up.
Filter Options Settings Category
This is the first customizable feature that appears when accessing the settings of the indicator. What Filter Zone Ranges does is allow you to filter the range at which zones appear both above and below the current asset price. With this setting unchecked, every single demand and supply zone within the 5k candle limit (or 20k limit if you have a premium TradingView account) will appear on your chart. This causes chart clutter which limits the visibility of price action.
If you have this setting activated, you can choose exactly the range of zones visible to you. This range is percent based and is measured both above and below the current market price. For example, if you activate Filter Zone Ranges and set the Filter Percentage at 7%, only zones within the range of 7% above, and 7% below the current asset price will be shown.
Demand/ Supply Zone Options Settings Category
The next two categories contain the majority of the customizability for supply and demand zones. The first option in both the Demand/ Supply Zone Options is Create Demand/Supply Zones. This toggle is very straight forward, you may choose whether or not to display all demand zones, or all supply zones.
The next two options are Demand/ Supply Zone Border and Demand/ Supply Zone Fill. Again, these are straight forward. The border setting allows you to edit both the color and opacity of the zones’ border lines. The fill setting allows you to edit the color and opacity of the interior of the supply/demand boxes.
Following the first pair of visual settings, you will see Demand/ Supply Zone Box Offset. This allows you to toggle how much the indicator offsets each zone from its origin point. In other words, move it to the left or right from the point in time at which the zone was created. The 0 offset is the base setting which is actually a slight offset to the right of the origin point to ensure that the candlesticks remain unobstructed visually.
After the offset options, you will find Demand/ Supply Zone ERC Multiple. This is a key setting which inputs the value our formula utilizes to scan the areas of institutional supply and demand imbalances. Unless you are extremely experienced with supply and demand analysis or you are running backtesting, it is highly recommended this value is left at ‘2’ for both the demand and supply options.
The next two options you will see in your indicator settings are Extend Demand/ Supply Zone and Demand/ Supply Zone Size. This feature allows you to customize exactly how far your zones will extend from the point of origin into the future.
The three options on the drop down menu are Extend, Fixed, and Dynamic. Each of these options extend your zones in a different fashion. It is important to note that the value inputted in the size option is the amount of units the zones will extend to the right for both Fixed and Dynamic options. The larger this input is, the further out the zones will extend into the future, and vice versa.
The final setting in the Demand/ Supply Zone Options category is Broken Zones to Keep and Broken Demand/ Supply Zone Fill. The Broken Zones to Keep input allows you to see recent supply or demand zones that have been broken and deleted from your chart. This may be useful for a trader in a few different ways. The Broken Demand/ Supply Zone Fill setting allows you to customize the number of broken zones displayed as well as their color and opacity. The most prominent example of this option’s utility is for traders that do not observe price action during the entirety of the market open.
If an individual left their charts for a few hours and missed a demand break, it may give the illusion that there was never a demand there and price action has been in “no-man's land” all day. However if that individual inputted ‘1’ in the Broken Zones to Keep setting, they would be able to see that a demand has broken. This may be useful as the trader may have an altered sentiment after knowing that a zone did in fact break.
Note: the value inputted is the amount of previously broken zones that will appear on your chart. For example, if the value ‘3’ is inputted, the three most recently broken zones will appear on your chart.
Time Frame Options Settings Category
Time Frame Options Settings allows you to toggle which supply and demand zones appear on your chart by time frame. For example, if you are analyzing a chart on a larger time frame such as the daily or weekly, the small 30 minute and 45 minute zones will often clutter your chart. By deselecting the weaker and smaller time frame zones, it will clean your chart up, allowing you to only see the zones that assist your analysis.
However the first two options in the category are unique.The first is Show Forming Zones. This option is extremely useful if you are watching price action play out live, when seeing the possibility of a supply or demand zone forming may be of benefit during your day trading. By toggling this setting ON, you will see all possible supply and demand zones forming in real time. However, this could cause clutter if multiple zones are forming at once in which case, toggling it off may be more beneficial.
The second option in the Timeframe Options category is the Show Zones Inside toggle, which controls the table at the top right of your screen (you may get rid of this table by deselecting tables in display settings).
This setting simply is a “yes” or “no” as to whether or not the table located at the top right of your screen will display the number of zones price action is currently sitting in. This setting is useful as zones may sometimes pile up on top of one another, making it hard to know exactly how many zones price action is currently sitting in.
Gap Options Settings Category
Just below the Timeframe Options category, is the Gap Options category. Gaps appear when two daily candles highs and lows do not overlap. These are often created when a catalyst is released into the market overnight causing a large move, resulting in a “gap” up or down the next morning.
A Gap often forms due to a strong move to the upside, and the indicator highlights this gap with a gray box. Gaps are important to many traders as there is often a large lack of liquidity inside the gap area, which often acts as a magnet that attracts future price action to fill it. If toggled on, the indicator displays the gap among the supply and demand zones seamlessly. The rest of the settings for this category are options to customize the color, opacity, size, and offset. These have the same effect as the options in the Demand/ Supply Zone Options category.
Text Options Settings Category
The final category in the indicator input settings is Text Options. This category allows you to toggle zone labeling on or off, and to specify how you would like the zone labels to appear. It’s strongly recommended that zone labeling is left ON because knowing the time frame a supply or demand zone originated from is a massive indicator of its strength. Top right alignment causes labeling such as “3H” to appear at the top right of each zone.
Indicator Data Limitations
There are a few limitations of TradingView which impact the Professional Zones - Institutional Supply and Demand Imbalances indicator. The first is the data TradingView provides to its users. With a basic TradingView account, a user only has access to 5,000 candles of data. So if a user is on the 1 minute time frame, that user can only see 5,000 candles before that current point. This is important because our advanced indicator scans historical price action that has formed supply and demand zones and displays it on your chart. This means that if a user is on a 1 minute time frame chart, they will only be able to see zones formed within the last 5,000 candles. Older supply and demand zones can not be displayed. However if a user has the Premium TradingView subscription, they can access up to 20,000 candles, which greatly increases the potential zones the user may see on the smaller time frames.
To counter this, we strongly recommend checking the larger time frames before starting your trading day, as there could be an old zone lurking behind the scenes. Once you spot it on the 30 minute time frame, for example, you may easily take note of the demand zone and its location.
The Bottom Line
This indicator has been intricately and powerfully designed to not only display institutional supply and demand imbalances more accurately and efficiently than any other TradingView indicator, but it has also been designed to give the user full control. Full control means the user has the ability to customize the appearance and inputs, as well as toggle specific objects visible to the trader.
We have meticulously designed the Professional Zones - Institutional Supply and Demand Imbalances indicator to be extremely valuable as a stand-alone strategy, as well as versatile enough to incorporate multiple other trading strategies on top of supply and demand .
However, in order for this indicator to be utilized by you at its full potential, it is important that you understand all of its features, capabilities and configuration options before you dive into trading.
Helicopter!Review
This indicator automatically calculates the best trade entry based on volume and real-time volatility. After the algorithm analyzes the current characteristics of the market, an entry signal is placed on the chart. As a result, the trader can be sure that the signal is based on data analysis. One of the key elements is reverse transactions. A long or short position can be stopped either at a profit or at a small loss without compromising the potential profit.
!Risks
The market is unstable, and it is impossible to know what the future holds for it. The only way to manage risk. You can limit the loss by setting a stop loss of 1% from the entry point. Take profit is recommended to set with a ratio of 1:1, 1:2,1:3, with partial fixation of 40%, 30%, 30%!
!Trading recommendations
Trades are opened when a green arrow appears, selling when a yellow arrow appears. Be sure to wait for the candle to close and the signal to appear (the signal may flash when the candle is formed). Recommended timeframes: 1min, 3min, 15min. The indicator is designed for scalp trades and intradays!
!Technical part
The indicator is based on the EMA 20 and EMA 200 moving averages. It is also based on the open and close of past days, weeks, months.
RSI are used.
RSI is a classic oscillator built on the basis of calculating the relative rate of change in asset prices over a given period.
Additional tools: volume and volatility.
NO REPAINT!
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Denial of responsibility
The information contained in my Scripts/Indicators/Ideas/Algorithms/Systems does not constitute financial advice or an offer to buy or sell any securities of any kind. I do not accept liability for any loss or damage, including but not limited to any loss of profits that may arise directly or indirectly from the use of or reliance on such information.
Power Of Stocks - Bollinger Band & 5Ema Indicator - Keanu_RiTz
Power of Stocks - Bollinger band & 5ema Strategy
In this script you get to take Buy/Sell trades using the 3 options mentioned below.(Alerts with price levels for buy/sell at , SL & Target are included in this one)
1. Combined Strategy :- uses confirmation from both strategies to trade.
2. Bollinger band Strategy :- use the Bollinger band Strategy to trade.
3. 5ema Strategy :- use the 5ema Strategy to trade.
1. Combined Strategy :-
for Selling :- we will go short/sell only when conditions of both strategies are satisfied.
i.e. when a candle is completely above the upper Bollinger band & completely above the 5ema then it will be our Alert Candle.
We Short/Sell only when the low of the Alert candle is broken or when the candle closes below the close of the Alert Candle.
SL will be above high of the Alert Candle. Target will be minimum 1:3 or as per your emotions.
for Buying:- we will go Long/Buy only when conditions of both strategies are satisfied.
i.e. when a candle is completely below the lower Bollinger band & completely below the 5ema then it will be our Alert Candle.
We go Long/Buy only when the high of the Alert candle is broken or when the candle closes above the close of the Alert Candle.
SL will be below low of the Alert Candle. Target will be minimum 1:3 or as per your emotions.
2. Power of Stocks - Bollinger Band Strategy :-
Bollinger band with standard deviation = 1.5
when a candle is completely above the upper Bollinger band, that candle will be called a signal/alert candle.
Initiate a Sell trade when that alert candles low is broken. SL will be above high of that alert candle.
Risk to reward ratio will be 1:4 i.e. target will be 4 times the SL.
when a candle is completely below the lower Bollinger band, that candle will be called a signal/alert candle.
Initiate a Buy trade when that alert candles high is broken. SL will be below low of that alert candle.
Risk to reward ratio will be 1:4 i.e. target will be 4 times the SL.
other rules for Options buying:- minimum 15min timeframe
The day you initiate the position , you should be in profit above 10%-15% then only you should carry forward that position overnight, otherwise squareoff your trade on that day only.
Buy ATM or slightly OTM, SL max 100 points , target 1:4
for Long-term/Investing :- Minimum Weekly
If candle is outside the lower band then initiate a Buy trade when that candles High is broken. Sl will be below Low of that candle.
for Long-term Target will be according to your emotions.
3. Power of Stocks - 5ema Strategy (target minimum 1:3)
Timeframe -
5 min for Selling (Sell Futures/index/stocks or buy Put)
15 min for Buying (Buy Futures/index/stocks or sell Put)
for selling stocks :-
you should enter trade within 10am , don't look for entries after that time. take only 2 entries a day.
for selling Index(Banknifty) :-
you can take trade at anytime of the day whenever conditions get satisfied. you can take multiple entries in banknifty as it is very volatile.
for options choose atm strikes: selling trade
sl for premium between 200-300 :- 20-30 points SL
sl for premium between 400-500 :- 40-50 points SL
sl for premium between 500-600 :- 50-60 points SL
Subhashish Pani's (power of stocks) 5 EMA Strategy:-
It plots 5 EMA and Buy/Sell signals with Target & Stoploss levels.
What is Subhashish Pani's (power of stocks) 5 EMA Strategy :-
His strategy is very simple to understand. for intraday use 5 minutes timeframe for selling. You can sell futures, sell call or buy Puts in selling strategy.
What this strategy tries to do is , it tries to catch the tops, so when you sell at top & it turns out to be a reversal point then you can get good profit.
this will hit stop losses often, but stop losses are small and minimum target should be 1:3. but if you stay with the trend you can get big profits.
According to Subhashish Pani this strategy has 60% success rate.
Strategy for Selling (Short future/Call/stock or buy Put)
When ever a Candle closes completely above 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely above 5 ema and it has not broken the low of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the low of the Alert Candle we should take the Short trade (Short future/Call/stock or buy Put).
Stoploss will be above high of the Alert Candle and minimum target will be 1:3.
Strategy for Buying (Buy future/Call/stock or sell Put)
When ever a Candle closes completely below 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely below 5 ema and it has not broken the high of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the high of the Alert Candle we should take the Long trade (Buy future/Call/stock or sell Put).
Stoploss will be below low of the Alert Candle and minimum target will be 1:3.
Buy/Sell with extra conditions :
it just adds 1 more condition to buying/selling
1. checks if closing of current candle is lower than alert candles closing for Selling & checks if closing of current candle is higher than alert candles closing for Buyling.
This can sometimes save you from false moves but by using this, you can also miss out on big moves as you'll enter trade after candle closing instead of entering at break of high/low.
Note :- According to Subhashish Pani Timeframe for intraday buying should be 15 minutes Timeframe.
If you haven't understood the strategy by reading above description, then search for "Subhashish Pani's (power of stocks) 5 EMA Strategy" on YouTube to get a deeper understanding.
Note:- This is not only for Intraday trading , you can use this strategy for Positional/Swing trading as well. If you use this on Monthly Timeframe then it can be very good for Long Term Investing as well.
Rules will be same for all types of trades & Timeframes.
MACD Strategy - Backtest [AlgoRider]█ OVERVIEW
Hello dear Tradingviewers !
We are excited to share with you this new indicator which simulates a trading strategy based solely on the well-known technical indicator MACD . We designed it for the sole educational and analytical purposes of showing novice traders and new investors that basing a trading strategy only on one such technical indicator is not necessarily a good thing to do. We do not recommend to apply this strategy for real.
Thanks to this indicator redesigned in our own way by incorporating our simple and easy-to-use Backtest functionality, you will be able to see and report on the performance and results that such a strategy has produced in the past.
The configuration window has also been designed to be easily readable and simple to use. Our goal is to make parameter customization as easy as possible.
█ HOW THE STRATEGY WORKS
• The script will simply trigger Long entries when bullish MACD crossings appear (the Macd line crosses the Signal line upwards) and Short entries when bearish MACD crossings appear (the Macd line crosses below the signal line).
• A Short signal ends a Long trade, a Long signal ends a Short trade.
• The script also allows setting up custom TP and SL.
• An option allows you to trigger early crossings, which will influence entries and exits.
• There is no repaint, once an entry/exit symbol or drawing is displayed it doesn't change anymore. The Short and Long signals appear at the open of the candles, just after the signal was confirmed at the close of the previous candle. The custom TP and custom SL signals can appear when a candle is not yet finished, but once displayed they don't change.
█ HOW TO PROCEED
1 — Once the script is applied to your chart, it already works with its default settings. You can already see the performance of the strategy in the data table directly on the chart (in the top right corner by default).
2 — You can customize the strategy and influence the results/performance by modifying its parameters. 3 types of parameters are present and can be modified.
3 — You can use this indicator in all types of markets.
4 — You can apply the script in every timeframe.
█ PARAMETERS
• Settings For Backtesting
- Strategy : Choose from a drop-down list if the strategy should execute only Long trades or only Short trades or both. Default Both.
- Invest. : Choose the amount you want to invest in the simulation. Default 10000.
- Position : Choose the amount of the position (Size order) that will be used during the simulation. This will be the $ amount staked/involved for each trade entry.
Ex: If you put 20000 in position and 10000 in Invest. We consider that you use at least a leverage x2. Default 10000.
- Slipp. TP : Choose the amount in percentage of average slippage for Take Profits. This parameter makes it possible to predict a potential gap between the theoretical exit price for each TP (On the graph) and the real exit price on an exchange when implementing the strategy for real (slippage may be due to a time lag of a few seconds from execution time of the order on the exchange and/or due to the execution of a market order).
Ex: If a TP exit order of a Long trade, with entry $19000 (on BTCUSDT ), is carried out in theory on the chart at $20000, in practice on the exchange the script have indeed sent an exit order at 20000 , but if the true exit price is 20050, the TP slippage is then +0.25%. Default 0.
- Slipp. SL : Choose the amount in percentage of average slippage for Stop Losses. This parameter makes it possible to predict a potential gap between the theoretical exit price for each SL (On the graph) and the real exit price on an exchange when implementing the strategy for real.
Ex: If an SL exit order of a Long trade, entry $19000 (on BTCUSDT ), is carried out in theory on the chart at $18000, in practice on the exchange the script have indeed sent an exit order at 18000 $, but if the true exit price is 17950, the slippage SL is then +0.278%. Default 0.
- Fees % : Choose the percentage amount of fees applied to each trade to simulate the application of the strategy on the exchange of your choice. Applies to the entry and exit of each trade. Ex: For Binance Futures: 0.04; For Bybit futures: 0.06; For Ftx Futures: 0.075. Default 0.
- Cumulate Trades : If you check this, the Backtest will use 100% of the balance as Order Size (Position) for All or in the next X consecutive trades. Default not checked.
⚠️ Be Careful please, this option is available to show the full extent and possibilities of the algorithm when pushed to its limits thanks to the accumulation of profits (cumulative earnings ), but it is a strategy that involves great risk. If a bad trade suffers a -50% loss, 50% of the account balance is lost, if the position is liquidated, the entire account balance is lost.
- All : If you check this All trades will be accumulated. Default not checked.
- Consecutive Trades : Choose the number of trades to accumulate. After X consecutive trades, the algorithm reassigns the initial order size to the current one and starts again for X consecutive trades. Minimum Value 2, Default 2.
• Settings To Optimize Performances and Risk Management
- Fast_MA : Choose the length of the Fast Moving Average. Default 12.
- Slow_MA : Choose the length of the Slow Moving Average. Default 26.
- Enable Early Crossings : If you check this, when the algorithm will detect an early crossing wethere bullish or bearish , it will trigger the Long or Short entries. Default not checked.
- Oscillator MA Type : Choose if the Macd line should be an Exponential Moving Average or a Simple Moving Average . Default Expo.
- Signal Line MA Type : Choose if the Signal line should be an Exponential Moving Average or a Simple Moving Average . Default Expo.
- Use TP / Use SL : If you check these, the algorithm will trigger personalized trade exit signals when the price evolution has reached the amounts indicated since the trade entry. Default not Checked.
- % TP - SL : Indicate here the personalized amount in percentage that you want for your Take Profit and Stop Loss of each trade. Default 15-5.
• Settings For Appearances
- Small-size Data Table : If you check this, the data table will become smaller to free up more space on the chart to make it visually more pleasing. Default not checked.
Hide Table /
- Hide Labels / : You can check these to get a cleaner chart and focus only on what interests you in the indicator. Default not checked.
Hide Risk-Reward Areas
█ LIMITATIONS
• ⚠️ We repeat it once again, this strategy is not intended to be reproduced in real conditions, we have designed it for educational and analytical purposes only.
• Even if you see good performances when you backtest the strategy, you must take into account that these results are performed in the past and that in no case does this guarantee that these same performances will be repeated again in the future.
• When you run for real a trading strategy you must be aware of the fact that you are solely responsible for the results that you will be able to obtain and you must be aware of the possibility at all times of partial or even total losses of your invested capital.
• Keep in mind that generating profits in trading is difficult. A strategy can perform very well at one time in the past during a period that is favorable to it, then from one day to the next it can give really bad results for several months or years.
• When backtesting a trading strategy, there are many factors to consider, not just trade entries to which you add a Take Profit and sometimes a Stop Loss. You must at least take into account the size of the position in relation to the capital you want to invest, the trading fees, the slippages (which can be really important depending on the exchange on which you are trading and depending on the asset you are trading), trading frequency, risk management, momentum, volumes and even more.
The information published here on TradingView is not prohibited, doesn't constitute investment advice, and isn't created solely for qualified investors.
═════════════════════════════════════════════════════════════════════════
Important to note : our indicators with the same backtesting system are published in separate publications, because putting them together in a single script would considerably slow down the execution of the script. In addition each indicator, even when it is based on a simple technical indicator, has several options, parameters and entry/exit conditions specific to the underlying technical indicator. Finally, we want to keep the simplicity of use, configuration and understanding of our indicator by not mixing strategies that have nothing to do with each other.
RSI Strategy - Backtest [AlgoRider]█ OVERVIEW
Hello dear Tradingviewers !
We share with you this new indicator which simulates a trading strategy based solely on the well-known technical indicator RSI . We designed it for the sole educational and analytical purposes of showing novice traders and new investors that basing a trading strategy only on one such technical indicator is not necessarily a good thing to do. We do not recommend to apply this strategy for real.
Thanks to this indicator redesigned in our own way by incorporating our simple and easy-to-use Backtest functionality, you will be able to see and report on the performance and results that such a strategy has produced in the past.
The configuration window has also been designed to be easily readable and simple to use. Our goal is to make parameter customization as easy as possible.
█ HOW THE STRATEGY WORKS
• The script will trigger Long entries when the price crosses upwards the Oversold zone (Default 38.2) and Short entries when the price crosses downward the Overbought zone (Default 61.8).
• A Short signal ends a Long trade, a Long signal ends a Short trade.
• The script also allows setting up custom TP and SL.
• Several options allow you to reverse entry and exit conditions of trades. You can choose to reverse entries or/and exits (Ex: when the script detects a Long Entry, it will actually trigger a Short trade).
• You can also change the entry conditions of the strategy. Instead of entering oversold/overbought zone conditions, it will trigger entries when the Rsi changes direction and reverses (Ex: when the rsi has been going down for 5 candles, and the rsi starts going up) , regardless of the area in which the RSI is located.
• There is no repaint, once an entry/exit symbol or drawing is displayed it doesn't change anymore. The Short and Long signals appear at the open of the candles, just after the signal was confirmed at the close of the previous candle. The custom TP and custom SL signals can appear when a candle is not yet finished, but once displayed they don't change.
█ HOW TO PROCEED
1 — Once the script is applied to your chart, it already works with its default settings. You can already see the performance of the strategy in the data table directly on the chart (in the top right corner by default).
2 — You can customize the strategy and influence the results/performance by modifying its parameters. 4 types of parameters are present and can be modified.
3 — You can use this indicator in all types of markets.
4 — You can apply the script in every timeframe.
█ PARAMETERS
• Settings For Backtesting
- Strategy : Choose from a drop-down list if the strategy should execute only Long trades or only Short trades or both. Default Both.
- Invest. : Choose the amount you want to invest in the simulation. Default 10000.
- Position : Choose the amount of the position (Size order) that will be used during the simulation. This will be the $ amount staked/involved for each trade entry.
Ex: If you put 20000 in position and 10000 in Invest. We consider that you use at least a leverage x2. Default 10000.
- Slipp. TP : Choose the amount in percentage of average slippage for Take Profits. This parameter makes it possible to predict a potential gap between the theoretical exit price for each TP (On the graph) and the real exit price on an exchange when implementing the strategy for real (slippage may be due to a time lag of a few seconds from execution time of the order on the exchange and/or due to the execution of a market order).
Ex: If a TP exit order of a Long trade, with entry $19000 (on BTCUSDT ), is carried out in theory on the chart at $20000, in practice on the exchange the script have indeed sent an exit order at 20000 , but if the true exit price is 20050, the TP slippage is then +0.25%. Default 0.
- Slipp. SL : Choose the amount in percentage of average slippage for Stop Losses. This parameter makes it possible to predict a potential gap between the theoretical exit price for each SL (On the graph) and the real exit price on an exchange when implementing the strategy for real.
Ex: If an SL exit order of a Long trade, entry $19000 (on BTCUSDT ), is carried out in theory on the chart at $18000, in practice on the exchange the script have indeed sent an exit order at 18000 $, but if the true exit price is 17950, the slippage SL is then +0.278%. Default 0.
- Fees % : Choose the percentage amount of fees applied to each trade to simulate the application of the strategy on the exchange of your choice. Applies to the entry and exit of each trade. Ex: For Binance Futures: 0.04; For Bybit futures: 0.06; For Ftx Futures: 0.075. Default 0.
- Cumulate Trades : If you check this, the Backtest will use 100% of the balance as Order Size (Position) for All or in the next X consecutive trades. Default not checked.
⚠️ Be Careful please, this option is available to show the full extent and possibilities of the algorithm when pushed to its limits thanks to the accumulation of profits (cumulative earnings ), but it is a strategy that involves great risk. If a bad trade suffers a -50% loss, 50% of the account balance is lost, if the position is liquidated, the entire account balance is lost.
- All : If you check this All trades will be accumulated. Default not checked.
- Consecutive Trades : Choose the number of trades to accumulate. After X consecutive trades, the algorithm reassigns the initial order size to the current one and starts again for X consecutive trades. Minimum Value 2, Default 2.
• Change Entry & Exit conditions
- Rsi Turns Up/Down : Enable this option to change conditions for trade entries. For Long entries : It will start a Long trade when RSI turns up and the RSI was falling on the last X bar(s). For Short entries : It will start a Short trade when RSI turns down and the RSI was rising on the last X bar(s). Default not checked.
- After Falling/Rising Bars(s) : Choose the number of bars/candles since which the price was falling/rising. Default 5.
- Reverse Entries : Enable this option to reverse conditions for trade entries. When a Short signal appears, it will actually start a Long trade. When a Long signal appears, it will actually start a Short trade. Default not checked.
- Reverse Exits : Enable this option to reverse conditions for trade exits. Default not checked.
- Safety Stop Loss : Enable this option to quickly cut the trade when the price turns quickly. For a Long trade : if the price returns to the oversold zone, it ends the trade. For a Short trade : if the price returns to the overbought zone, it ends the trade. Mainly useful for basic strategy (overbought/oversold conditions). Default not checked.
• Settings To Optimize Performances and Risk Management
- Len RSI : The length of RSI . Default 14.
- Overbuy : You can change the limit value of the overbought zone of the RSI . Default 61.8.
- Oversell : You can change the limit value of the oversell zone of the RSI . Default 38.2.
- Use TP / Use SL : If you check these, the algorithm will trigger personalized trade exit signals when the price evolution has reached the amounts indicated since the trade entry. Default not Checked.
- % TP - SL : Indicate here the personalized amount in percentage that you want for your Take Profit and Stop Loss of each trade. Default 15-5.
• Settings For Appearances
- Small-size Data Table : If you check this, the data table will become smaller to free up more space on the chart to make it visually more pleasing. Default not checked.
Hide Table /
- Hide Labels / : You can check these to get a cleaner chart and focus only on what interests you in the indicator. Default not checked.
Hide Risk-Reward Areas
█ LIMITATIONS
• ⚠️ We repeat it once again, this strategy is not intended to be reproduced in real conditions, we have designed it for educational and analytical purposes only.
• Even if you see good performances when you backtest the strategy, you must take into account that these results are performed in the past and that in no case does this guarantee that these same performances will be repeated again in the future.
• When you run for real a trading strategy you must be aware of the fact that you are solely responsible for the results that you will be able to obtain and you must be aware of the possibility at all times of partial or even total losses of your invested capital.
• Keep in mind that generating profits in trading is difficult. A strategy can perform very well at one time in the past during a period that is favorable to it, then from one day to the next it can give really bad results for several months or years.
• When backtesting a trading strategy, there are many factors to consider, not just trade entries to which you add a Take Profit and sometimes a Stop Loss. You must at least take into account the size of the position in relation to the capital you want to invest, the trading fees, the slippages (which can be really important depending on the exchange on which you are trading and depending on the asset you are trading), trading frequency, risk management, momentum, volumes and even more.
The information published here on TradingView is not prohibited, doesn't constitute investment advice, and isn't created solely for qualified investors.
═════════════════════════════════════════════════════════════════════════
Important to note : our indicators with the same backtesting system are published in separate publications, because putting them together in a single script would considerably slow down the execution of the script. In addition each indicator, even when it is based on a simple technical indicator, has several options, parameters and entry/exit conditions specific to the underlying technical indicator. Finally, we want to keep the simplicity of use, configuration and understanding of our indicator by not mixing strategies that have nothing to do with each other.
Mastering Market Structure"Market structure first, always" - Mr. Anderson aka TrueCrypto28 right before he went on to master Kung-Fu
Understanding and identifying market structure is essential for successful and consistent profitability. No system is perfect, but trading in the direction of the prevailing market structure can reduce the likelihood of being caught severely offsides and can yield trades with tighter invalidations and greater risk-to-reward potential.
This script will automatically identify and plot the following:
Market Structure
Pivot highs and lows using the lookback left and right lengths are analyzed to identify major swing highs and lows to identify the current trading range.
Bullish structure is characterized by a series of higher highs and higher lows.
Bearish Structure is characterized by lower highs and lower lows.
Structure breaks when a bar closes outside the current trading range. Major swing highs and lows will update following these breaks to continue following the current price action
Current market structure bias, bullish or bearish, can be displayed in a table in the location of your choosing.
Structure is fractal, so seeing low time frame structure shift against the high time frame structure can identify the beginning of a pullback. When it realigns with the high timeframe structure, it can identify the beginning of the high time frame trend continuation. You can choose to analyze structure on any timeframe with this script and even add multiple copies of it to your chart each analyzing different a timeframes to easily find high quality trade opportunities.
Fibonacci Levels of the current trading range
These are included to help identify areas of interest for trade execution and profit levels.
We want to buy at a discount and sell at a premium. The "Wholesale Zone" can be considered below the 50% retracement level in bullish structure, or above it in a bearish structure.
When in a bullish structure, "discount" buy opportunities can be found below the 50% retracement level with the expectation of trend continuation.
In a bearish structure, more ideal "premium' sell opportunities can be found above the 50% retracement with the expectation of trend continuation.
Optimal trade entry (OTE) zone, between the 61.8% and 78.6% retracement can offer a great risk-to-reward ratio for execution of a new position in trending environments.
When trading sideways in a range, opening new buy positions near the bottom of the range or new sell positions from the top of the range are preferred. Midrange 50% level commonly sees some reaction and can be used as a primary target with further targets either being the opposite end of the range or lower support levels (see order block section).
Order Blocks
New Bullish and bearish order blocks are created and plotted with every respective market structure break. They identify the price level from which the most recent leg of price action that yielded the structure break began.
In strong trending environments, these levels should continue to support or resist price. They are great areas to look to enter new positions.
Order blocks can also be used as targets for your trades to avoid giving back unrealized profits as price tends to react off of these levels.
To keep your chart clean and the order blocks relevant, an order block will be automatically deleted if price trades through and closes beyond it. Otherwise, printed order blocks will remain on your chart until either it's origin bar is out of TradingView's maximum bar history allowance or their maximum box count allowance.
Pairing these with fibonacci levels, retracements into order blocks that are in the Wholesale Zone or even the OTE zone offer higher probability trades with more favorable risk-to-reward potential.
Swing Failure
Swing failure patterns (SFPs) arise when a candle takes out a swing high or low, but fails to close beyond it.
Again, pairing these with other features of this script like range boundaries, wholesale zones, OTE zones, and order blocks can help traders identify the best times to actually execute their trade as SFPs are commonly seen at points of inflection in price action.
Moving Averages
Up to 4 moving averages from the current time frame are available. MA type and lengths can be adjusted to your preference.
Up to 4 MTF MAs. By Default this is an EMA 200 as it is commonly used for trend identification and support/resistance.
These are included for confluence of trend direction and strength.
They can also act as dynamic support and resistance and so can be useful for trade execution if price bounces or rejects off of them or targets as price may do so when it reaches them.
Additionally, alerts have been coded for the following scenarios:
MS Break alerts will trigger on bar close when a break in market structure has been confirmed.
SFP alerts will trigger on bar close when the swing failure pattern has been confirmed.
Entering OB alerts will trigger as soon as price touches the closest order block.
Entering Wholesale Zone alerts will trigger as soon as price cross the 50% retracement level. This can be used as an early alert to identify assets that have undergone a significant pullback before potential continuation in the direction of the main trend.
Entering OTE Zone alerts will trigger as soon as price crosses into the Optimal Trade Entry zone between the 61.8% and 78.6% retracement.
This script is unique in the way that it tracks market structure, automatically updates as price action continues to develop, presents high quality areas of interest, and SFPs for trend reversal and continuation. Traders will no longer need to constantly monitor their charts or exhaustively update their alerts to find good trade opportunities. This script takes care of all of it automatically. Collectively, all of the included features can be used to build a complete trading system.
Supertrend, MA 44|6, EMA FIBS 13|21|34I have this indicator based on my strategy. This indicator is based on existing functions available in the system. I haven't added anything new. This indicator uses Supertrend, MA44|6, EMA fibs 13|21|34 combining to find a profitable trade.
- Supertrend : Indicator uses supertrend strategy with default ATR period of 10 and Factor value 3. These values can be customized based on your preferences. Uptrend is denoted by green color and downtrend by red color. You can change the colors based on your preferences.
- MA 44|6: Indicator plots moving averages of 44 and 6. These values can be customized based on your preferences. Although it is highly recommended to keep 44 as is. Value 6 can be adjusted based on your preference. Default color for uptrend is green and for downtrend is red. You can change the colors based on your preferences.
- FIBS EMA 13|21|34: Indicator plots EMA of fibbonacci numbers 13, 21,34 to identify consolidation and breakout. The periods can be adjusted but it is highly recommended not to do so. Default colors for 13,21 and 34 is Aqua, Blue and Navy respectively. You can change the colors based on your preferences.
When to take trade?
To take a trade all conditions needs to be fulfilled.
Supertrend : Always take a trade in the direction of Supertrend. It is always advisable to take trade if the trend is changing or price is taking support of resistance.
MA 44|6: Moving average 44 indicates average price of 44 last candles and 6 for last 6 candles. Price crossing MA 44 indicates change in trend. It is advisable to take trade at crossing the line above or below. If many candles closing near MA 44 then it indicates consolidation. The more far the candle closes from MA44 the better. MA 6 is used to identify when to enter or exit the trade. If candle closes away from MA 6 then you can wait for candle to start near the MA 6 line. If candle closes above/below MA 6 you can exit your trade.
Fibonacci 13|21|34: When all lines are closed it indicates consolidation. When price breakouts to either direction you can take a trade in that direction with following conditions.
Bullish Trade:
When to enter?
If candle closed above MA 44, Supertrend is uptrend and EMA Fibs are moving away and are above MA 44. The price is near to MA 6 line then you can enter into bullish trade. If price is away from MA 6 then you should wait until the price/line comes near to avoid loss.
When to exit?
Price moving in opposite direction:
You should set a stop loss when you enter the trade. The stop loss can be set below the low of the previous candle or any other strategy you have. But it is really important to set the stop loss. If price moves in opposite direction then your stop loss will hit and you will be out of the trade.
Price moving in same direction:
Once you enter the trade you can exit based on two conditions whichever suits you.
1. Exit the trade if candle closes below MA6. The drawback is you may exit too early. You can also adjust the period based on your preferences.
2. Exit the trade if candle closed below low of previous candle. The drawback is you may book less profit but you can capture the movement very well.
Bearish Trade:
When to enter?
If candle closed below MA 44, Supertrend is downtrend and EMA Fibs are moving away and are below MA 44. The price is near to MA 6 line then you can enter into bearish trade. If price is away from MA 6 then you should wait until the price/line comes near to avoid loss.
When to exit?
Price moving in opposite direction:
You should set a stop loss when you enter the trade. The stop loss can be set below the low of the previous candle or any other strategy you have. But it is really important to set the stop loss. If price moves in opposite direction then your stop loss will hit and you will be out of the trade.
Price moving in same direction:
Once you enter the trade you can exit based on two conditions whichever suits you.
1. Exit the trade if candle closes below MA6. The drawback is you may exit too early. You can also adjust the period based on your preferences.
2. Exit the trade if candle closed below low of previous candle. The drawback is you may book less profit but you can capture the movement very well.
When not to take trade?
1. If MA 44 is completely horizontal and EMA Fibs are very close to each other. This indicates that the market is consolidated and if you enter the trade you may hit stop loss very often.
Note: Please note that I am not expert and I don't take any responsibility of your profits or losses. I have created this indicator based on my knowledge and it is for study purpose. Use of this indicator is totally your responsibility. Use all your knowledge and expertise and don't totally depend on the indicator. Don't forget to use stop loss and do money management.
Happy Trading!
Crypto Terminal [Kioseff Trading]Hello!
Introducing Crypto Terminal (:
The indicator makes use of cryptocurrency data provided by vendor INTOTHEBLOCK.
NOTE: The cryptocurrency on your chart must be paired with USD or USDT. Data won't load otherwise - possibly transient. For instance, BTCUSD or BTCUSDT, ETHUSD or ETHUSDT.
Provided datasets:
Twitter Sentiment Data
Telegram Sentiment Data
Whale Data (i.e. % of Asset Belonging to Whales)
$100,000+ Transactions
Bulls/Bears (Bulls Buying | Bears Selling)
Current Position PnL (Currently Open Positions for the Coin are Retrieved and Plotted. Data is Split into Currently Profitable Positions, Losing Positions, and B/E Positions)
Average Balance
Holders/Traders Percentage (Addresses are Retrieved and Classified as Holding Accounts or Trader Accounts)
Correlation
Futures OI
Perpetual OI
Zero Balance Addresses
Flow (Money Inflow & Outflow)
Active Addresses
Average Transaction Time
Realized PnL (Addresses with Realized Profits, Realized Losses, and B/E)
Cruisers
A few more data points are provided.
Additionally, you can plot the values of any dataset in a pane below price.
Below are images of plottable data; different cryptocurrencies will be shown for each example (:
Twitter sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Telegram sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Percentage of asset belonging to whales.
$100,000+ transactions (volume oriented)
Bulls buying; bears selling.
Current positions at profit; current positions at loss; current positions at breakeven.
Average balance.
Percentage of asset belonging to traders; percentage of asset belonging to holders.
Asset's 30-interval correlation to BTC.
Perpetual open interest.
Zero-balance addresses.
Flows.
Active addresses.
Average transaction time.
Addresses at realized profit; addresses at realized loss; addresses at breakeven.
Cruiser data.
Futures open interest.
Naturally, this data isn't provided for every cryptocurrency; NaN values are returned in some instances.
Table 1
I provided three data tables, which load independently, so you don't have to change plotted data to access values.
Table 2
Lastly, you can create a 10-asset crypto index and run calculations against it.
The image shows an example.
I'll update this script with additional calculations/data in the near future. If you've any suggestions - please let me know!
Enjoy (:
vStrat Algo 2.0vStrat Algo 2.0 is a Non-Repainting toolkit that works on any market such as stocks, crypto, forex, indices, commodities, etc. There are 8 advanced features that traders can use to help them create their own strategies. vStrat Algo 2.0 offers 10 sensitivity presets that they can choose from, making this toolkit suitable for every trading style whether it's scalping, day trading, swinging, or position trading.
I. Non-Repainting
When an indicator is Repainting , it changes its values as new data arrives, making it an unreliable indicator especially for Buy and Sell signals but this does not necessarily mean that the indicator is less accurate. vStrat Algo 2.0 does not repaint so the signals that were triggered in real time will stay the same during backtesting. If Non-Repainting is disabled, the signal that was triggered on a candle might disappear as new data arrives and once that candle closes, the signal might not even be there anymore, but it could get triggered on the next candle instead.
II. Signal Sensitivity
The Buy and Sell signals are highly accurate but the placement of each signal will differ for each selected preset. The higher the sensitivity (3.0 - 5.0), the more signals will be displayed on the chart. This setting works well when scalping using lower timeframes (1 min - 5 min). As the sensitivity lowers (0.5 - 2.5), less signals are displayed on the chart. If you are day trading or swinging, the lower presets are recommended as they are smoothed and will have less noise. Lower sensitivity works well on any timeframe.
III. Safe Mode
This feature hides any Buy and Sell signals that are triggered within the Consolidation Zones. The signals can still vary depending on the sensitivity, CZ Smoothing and CZ Length. The default setting is "3" and "7". "Unfiltered" must be unchecked for the signals to disappear.
IV. Unfiltered Signals
All Buy and Sell signals are displayed on the chart. This feature must be disabled if "Safe Mode" is enabled.
V. Trend Candle Colouring
This changes the bar colors depending on its trend. Green if it's trending up and red if it's trending down.
VI. Trend Cloud
Trend Cloud indicates the current market trend. This can also be used as a confluence to the Buy and Sell signals. Wider cloud indicates a strong momentum on either direction. As the cloud narrows, it could mean a possible reversal.
VII. Pivot Points
Pivot Points are useful for identifying significant support and resistance levels as well as identifying entry, exit, stop loss, and target profit levels.
VIII. Consolidation Zones
Consolidation Zones can be used to identify if the market is ranging. If enabled, it changes the colors of the bars that have low momentum to yellow. It is best to wait for a breakout to enter a trade but you can still be profitable when the market is ranging by trading based off Support and Resistance Levels and Imbalance Zones. Default setting is: Smoothing "3" and Length "7".
IX. Take Profit Levels
Take Profit signals are displayed on the chart as yellow "x". Once the algo detects a potential reversal, a Take Profit signal will be triggered so the user can lock in their profits. The signals can appear more than once so you have the option to keep holding as long as you know the risks. The lower the Length is, the more signals appear.
X. Alerts
Buy and Sell signal alerts can be created by clicking the three dots in the vStrat Algo 2.0 indicator tile.
Disclaimer:
All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed, or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. While the information provided is believed to be accurate, it may include errors or inaccuracies. Conduct your own due diligence or consult a licensed financial advisor or broker before making any and all investment decisions. Any investments, trades, speculations, or decisions made on the basis of any information found on this site, expressed, or implied herein, are committed at your own risk, financial or otherwise.
STD-Filterd, R-squared Adaptive T3 w/ Dynamic Zones [Loxx]STD-Filterd, R-squared Adaptive T3 w/ Dynamic Zones is a standard deviation filtered R-squared Adaptive T3 moving average with dynamic zones.
What is the T3 moving average?
Better Moving Averages Tim Tillson
November 1, 1998
Tim Tillson is a software project manager at Hewlett-Packard, with degrees in Mathematics and Computer Science. He has privately traded options and equities for 15 years.
Introduction
"Digital filtering includes the process of smoothing, predicting, differentiating, integrating, separation of signals, and removal of noise from a signal. Thus many people who do such things are actually using digital filters without realizing that they are; being unacquainted with the theory, they neither understand what they have done nor the possibilities of what they might have done."
This quote from R. W. Hamming applies to the vast majority of indicators in technical analysis . Moving averages, be they simple, weighted, or exponential, are lowpass filters; low frequency components in the signal pass through with little attenuation, while high frequencies are severely reduced.
"Oscillator" type indicators (such as MACD , Momentum, Relative Strength Index ) are another type of digital filter called a differentiator.
Tushar Chande has observed that many popular oscillators are highly correlated, which is sensible because they are trying to measure the rate of change of the underlying time series, i.e., are trying to be the first and second derivatives we all learned about in Calculus.
We use moving averages (lowpass filters) in technical analysis to remove the random noise from a time series, to discern the underlying trend or to determine prices at which we will take action. A perfect moving average would have two attributes:
It would be smooth, not sensitive to random noise in the underlying time series. Another way of saying this is that its derivative would not spuriously alternate between positive and negative values.
It would not lag behind the time series it is computed from. Lag, of course, produces late buy or sell signals that kill profits.
The only way one can compute a perfect moving average is to have knowledge of the future, and if we had that, we would buy one lottery ticket a week rather than trade!
Having said this, we can still improve on the conventional simple, weighted, or exponential moving averages. Here's how:
Two Interesting Moving Averages
We will examine two benchmark moving averages based on Linear Regression analysis.
In both cases, a Linear Regression line of length n is fitted to price data.
I call the first moving average ILRS, which stands for Integral of Linear Regression Slope. One simply integrates the slope of a linear regression line as it is successively fitted in a moving window of length n across the data, with the constant of integration being a simple moving average of the first n points. Put another way, the derivative of ILRS is the linear regression slope. Note that ILRS is not the same as a SMA ( simple moving average ) of length n, which is actually the midpoint of the linear regression line as it moves across the data.
We can measure the lag of moving averages with respect to a linear trend by computing how they behave when the input is a line with unit slope. Both SMA (n) and ILRS(n) have lag of n/2, but ILRS is much smoother than SMA .
Our second benchmark moving average is well known, called EPMA or End Point Moving Average. It is the endpoint of the linear regression line of length n as it is fitted across the data. EPMA hugs the data more closely than a simple or exponential moving average of the same length. The price we pay for this is that it is much noisier (less smooth) than ILRS, and it also has the annoying property that it overshoots the data when linear trends are present.
However, EPMA has a lag of 0 with respect to linear input! This makes sense because a linear regression line will fit linear input perfectly, and the endpoint of the LR line will be on the input line.
These two moving averages frame the tradeoffs that we are facing. On one extreme we have ILRS, which is very smooth and has considerable phase lag. EPMA has 0 phase lag, but is too noisy and overshoots. We would like to construct a better moving average which is as smooth as ILRS, but runs closer to where EPMA lies, without the overshoot.
A easy way to attempt this is to split the difference, i.e. use (ILRS(n)+EPMA(n))/2. This will give us a moving average (call it IE /2) which runs in between the two, has phase lag of n/4 but still inherits considerable noise from EPMA. IE /2 is inspirational, however. Can we build something that is comparable, but smoother? Figure 1 shows ILRS, EPMA, and IE /2.
Filter Techniques
Any thoughtful student of filter theory (or resolute experimenter) will have noticed that you can improve the smoothness of a filter by running it through itself multiple times, at the cost of increasing phase lag.
There is a complementary technique (called twicing by J.W. Tukey) which can be used to improve phase lag. If L stands for the operation of running data through a low pass filter, then twicing can be described by:
L' = L(time series) + L(time series - L(time series))
That is, we add a moving average of the difference between the input and the moving average to the moving average. This is algebraically equivalent to:
2L-L(L)
This is the Double Exponential Moving Average or DEMA , popularized by Patrick Mulloy in TASAC (January/February 1994).
In our taxonomy, DEMA has some phase lag (although it exponentially approaches 0) and is somewhat noisy, comparable to IE /2 indicator.
We will use these two techniques to construct our better moving average, after we explore the first one a little more closely.
Fixing Overshoot
An n-day EMA has smoothing constant alpha=2/(n+1) and a lag of (n-1)/2.
Thus EMA (3) has lag 1, and EMA (11) has lag 5. Figure 2 shows that, if I am willing to incur 5 days of lag, I get a smoother moving average if I run EMA (3) through itself 5 times than if I just take EMA (11) once.
This suggests that if EPMA and DEMA have 0 or low lag, why not run fast versions (eg DEMA (3)) through themselves many times to achieve a smooth result? The problem is that multiple runs though these filters increase their tendency to overshoot the data, giving an unusable result. This is because the amplitude response of DEMA and EPMA is greater than 1 at certain frequencies, giving a gain of much greater than 1 at these frequencies when run though themselves multiple times. Figure 3 shows DEMA (7) and EPMA(7) run through themselves 3 times. DEMA^3 has serious overshoot, and EPMA^3 is terrible.
The solution to the overshoot problem is to recall what we are doing with twicing:
DEMA (n) = EMA (n) + EMA (time series - EMA (n))
The second term is adding, in effect, a smooth version of the derivative to the EMA to achieve DEMA . The derivative term determines how hot the moving average's response to linear trends will be. We need to simply turn down the volume to achieve our basic building block:
EMA (n) + EMA (time series - EMA (n))*.7;
This is algebraically the same as:
EMA (n)*1.7-EMA( EMA (n))*.7;
I have chosen .7 as my volume factor, but the general formula (which I call "Generalized Dema") is:
GD (n,v) = EMA (n)*(1+v)-EMA( EMA (n))*v,
Where v ranges between 0 and 1. When v=0, GD is just an EMA , and when v=1, GD is DEMA . In between, GD is a cooler DEMA . By using a value for v less than 1 (I like .7), we cure the multiple DEMA overshoot problem, at the cost of accepting some additional phase delay. Now we can run GD through itself multiple times to define a new, smoother moving average T3 that does not overshoot the data:
T3(n) = GD ( GD ( GD (n)))
In filter theory parlance, T3 is a six-pole non-linear Kalman filter. Kalman filters are ones which use the error (in this case (time series - EMA (n)) to correct themselves. In Technical Analysis , these are called Adaptive Moving Averages; they track the time series more aggressively when it is making large moves.
What is R-squared Adaptive?
One tool available in forecasting the trendiness of the breakout is the coefficient of determination ( R-squared ), a statistical measurement.
The R-squared indicates linear strength between the security's price (the Y - axis) and time (the X - axis). The R-squared is the percentage of squared error that the linear regression can eliminate if it were used as the predictor instead of the mean value. If the R-squared were 0.99, then the linear regression would eliminate 99% of the error for prediction versus predicting closing prices using a simple moving average .
R-squared is used here to derive a T3 factor used to modify price before passing price through a six-pole non-linear Kalman filter.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included:
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
VWAP + EMA Analysis [Joshlo]Overview and Use Case
VWAP Analysis gives the possibility to combine multiple time frames of VWAP along with a triplet of exponential moving averages. This can provide insight into potential scalp, swing and longer term trades, depending on your time frame. The use of this indicator with it's setup is based off the the Scalp Setup Alerts provided by Roensch Capital.
The primary use for this script is to help with intraday scalp set ups. Using the Daily VWAP, turned on by default, we can look for price to respect and bounce from one of the VWAP lines (support or resistance) back toward equilibrium, we can also look for price to bounce off of equilibrium and move back toward VWAP support or resistance.
The chart attached shows AMD bouncing off of the Daily time frame VWAP Resistance level multiple times (see yellow boxes), often with confirmation given by an increase in volume which is often far higher than the average volume. In many of these cases a short position could've been opened or put option could have been placed with a profitable outcome.
Every line projected onto the chart via this indicator has the potential to create support or resistance as well as causing 'hang ups', meaning price loses it's momentum, slows down and hangs out in the particular area. This is shown on the chart within the green box.
Chart walkthrough - See attached chart
After a rejection off of the Daily VWAP Resistance line (depicted by the white circle), price starts to move back toward Daily VWAP Equilibrium. In order to reach this line, price needs to move through the 20EMA (white) and 50EMA (purple), the Weekly VWAP Resistance (red circles) and the 200EMA (orange). All of these lines are a part of this single indicator.
The 20EMA seems to offer little resistance but follows the price on it's move, offering some resistance to a volatile move upward. Initially upon contact with the 50EMA, price hangs up and bounces above and below the line whilst finding support on the Weekly VWAP Resistance at the same time. This causes a 'hang up' or sideways movement for around 20 minutes of trading. A potential trade may have entered at the white circle with a VWAP Resistance rejection and exited upon contact with the 50EMA in anticipation of multiple EMAs and support / resistance lines converging which is known to cause price movement to slow.
Eventually with an increase in volume, price breaks below the 20EMA (white), 50EMA (purple) and the Weekly VWAP Resistance level (red circles). Price then finds support on the 200EMA (orange), although there was potential for the price to fall to the Daily VWAP Equilibrium (solid blue). As the Red VWAP lines tend to act more often as resistance as opposed to support (price is rarely above these lines for extended periods), the trade from earlier may have profited more by awaiting contact with the 200EMA before exiting, taking the assumption that the Weekly VWAP Resistance was more likely to act as resistance than support.
A period of consolidation in the green box, around the Weekly VWAP Resistance, 20EMA, 50EMA and with support from the 200EMA eventually resulted in another break out where the price came back up to the Daily VWAP Resistance. Prior to the end of this trading day, there were two more opportunities for scalp setups based off of the price showing consistent rejections off the Daily VWAP Resistance back down to the 50EMA.
In the final example, price breaks above the Daily VWAP Resistance but quickly rejects off of the Monthly VWAP Resistance. For examples where the VWAP Resistance or Support or broken, it can help to look at an indicator such as the RSI to look for bullish divergence or bearish divergence.
Just as this example shows bounces and rejection off of VWAP Resistance, the same applies around the Equilibrium and Support VWAP lines.
The perfect scenario would be to find a ticker where there has already been two or three bounces off of one of these levels, with the goal of taking the trade on the next bounce and either using a percentage price target or technical price target based off of the EMAs or VWAP lines. If there are EMAs close in the direction you want to take the trade, there is a higher chance of hang ups and reversals, so a clear run is the more desired trade set up.
You can also look for these indicator lines to stack up in order to form a stronger support and resistance. For example the 200EMA and Daily VWAP Equilibrium being close to each other may suggest it would take more of an effort to break both of these levels, but one by itself may break more easily.
Indicator Setup
In the settings for the indicator, almost everything you might want to change can be done from the Input tab.
The three options for VWAP (daily, weekly and monthly) allow for analysis on multiple time frames. Daily is turned on as standard.
Standard Deviation Multiplier is set to 2 as standard, this effects the distance of the VWAP support and resistance from the equilibrium line. This seems to be a level that works well with finding support and resistance lines, however if there is excessively high or low volume, occasionally the lines can be thrown off. You can adjust this level if required to find a 'sweet spot' where price likes to reject or find support.
The colors for all VWAPs can be adjusted via the Inputs tab, however if you'd like to change the type of line these are depicted as, this can be done from the Styles tab.
The 3 EMAs (20, 50 and 200) can be toggled on or off and also have their color changed. The style of the lines can be adjusted from with the Styles tab if required.
Distance From EMA (%) with TP TableThe indicator will help you to identify where an asset might change direction or where to take profit.
For scalping or day trading is very useful to know where to take profits.
When the price is too far from an EMA a reversal is very likely to occur.
You can set up your own EMA and the percentage where you want to take profits
Self-Optimizing RSI Strategy [Kioseff Trading]Hello!
Introducing the Self-Optimizing RSI Strategy.
The indicator tests up to 800 RSI strategies simultaneously, looping through arrays, and auto plots the best performing parameter set.
The image above shows the result of 800 RSI strategies concurrently.
The table oriented bottom right shows the performance and risk metrics of the best performing RSI system tested across the bar set. Additionally, the conditions for entry and exit are displayed; for the image - a long entry system predicated on RSI crossunders and exit system predicated on a 1% TP and 2% SL are shown.
The indicator calculates numerous risk and performance metrics.
Calculated metrics include:
RSI Parameters
RSI Cross Entry Level
Total Trades
Win Rate
Avg. Gain for Winning Trades
Max Pain
PnL (Cumulative Performance)
Profit Factor
Avg. Loss for Losing Trades
Ratio Avg. Win / Avg. Loss
Avg. Bars in Trade
Max Drawdown
Current Drawdown
Open Position PnL
"Dynamic" indicates the performance of self-optimizing RSI system was tested.
The image above shows the performance of the greatest-performing RSI system - a fixed set of parameters - when adhering to a 1% TP and 2% fixed SL.
Trailing Stops and Profit-Taking Limit orders can be set/simulated.
The image above shows a dynamic entry level - plotted as a purple, non-transparent line.
The entry level "self-optimizes" to mimic the best performing RSI system at current time.
The image above exemplifies the functionality for all horizontal lines plotted on the chart.
The average RSI level achieved subsequent a profitable trade is shown.
The average RSI level achieved subsequent a losing trade is shown.
The entry level for RSI crossunders/crossovers is shown.
The image above show the Self-Optimizing RSI indicator recording entries & exits; gains & losses, for each executed trade.
You can "verify" trades manually.
Blue boxes reflect an entered position.
Green boxes reflect a closed, profitable trade.
Red boxes reflect a close, losing trade.
The percentage gain for a profitable trade is appended to green boxes; the percentage loss for a losing trade is appended to red boxes.
The Self-Optimizing RSI indicator plots off the chart; however, percentage gains/losses are measured against price, not RSI.
Boxes correlate to the interval a trade was entered/exited on.
The indicator hosts various methods to filter the outcome for testing.
For instance, you can:
Use trailing stops or fixed stop losses
Test RSI crossunders and crossovers
Configure the RSI settings that are tested (i.e. RSI 2 - 9, RSI 14 - 20, RSI 50 - 57)
Test short-based RSI Systems and long-based RSI systems
Simulate limit orders (Exit intrabar at fixed stop losses or trailing stop losses; exit intrabar at profit targets)
Require all tested RSIs to trend above or below their respective average (i.e. all RSIs must trend above/below their 50-interval EMA values. SMAs can also be used)
Use external indicators and require a user-defined value be exceeded, measured below, or that price exceed or measure below an indicator. The Self-Optimizing RSI indicator incorporates a few built-in technical indicators - ADX, %k, MFI, CMFI, and RSI. Consequently, you can require these indicators to measure above/below a specified level prior to entry. Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator. I'll show an example shortly.
Adjust the time window that's tested.
Adjust PT and SL percentages.
Override plot an RSI system to procure thorough statistics.
Require a symbol to measure above/Below or equal to a particular price level to “validate” a Long/Short entry signal. You can retrieve any data hosted by TradingView and require it measure above/below a user-defined level prior to entry. For instance, you can select "$VIX", and require the ticker to measure less than $30 prior to long/short entry. If "$VIX" measures greater than $30 prior to a long/short signal the position will not open. Alternatively, you can require a symbol to measure above a user-defined price prior to entry. If the retrieved ticker doesn't measure above the user-defined level prior to entry a trade will not open.
Use trailing stops or fixed stop losses
The image above shows results for 800 short-based RSI systems - using a trailing stop loss.
Test RSI crossunders and crossovers
The image shows results for 800 long-based RSI systems. Positions are entered subsequent to RSI crossovers.
You can select which RSI strategies are tested - you aren't not limited to testing RSI 2 - RSI 9 (:
Simulate limit orders (Exit intrabar at fixed stop losses or trailing stop losses; exit intrabar at profit targets)
The image above shows performance test results when exiting during the interval subsequent to the profit target being exceeded.
The image above shows performance test results when exiting during the interval subsequent to the stop loss being exceeded.
Require all tested RSIs to trend above or below their respective average (i.e. all RSIs must trend above/below their 50-interval EMA values. SMAs can also be used)
The image above shows an RSI EMA in addition to prerequisite condition. For each RSI strategy tested, the RSI used for the strategy must measure above an EMA of its values prior to entry. You can require RSI to measure below an EMA of its values prior to entry, use an SMA, and change the length of the MA used.
Use external indicators and require a user-defined value be exceeded, measured below, or that price exceed or measure below an indicator. The Self-Optimizing RSI indicator incorporates a few built-in technical indicators - ADX, %k, MFI, CMFI, and RSI. Consequently, you can require these indicators to measure above/below a specified level prior to entry. Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator. I'll show an example shortly.
The image above shows me requiring the ADX indicator to measure above "20" prior to long entry. Any of the built-indicators can be used with similar conditions; you can implement a custom-coded indicator for trade logic.
Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator.
The image above shows me retrieving the value for Volume Profile Point of Control - a TradingView coded indicator.
Consequently, I can require price to measure above/below the session's Poc prior to RSI long/short entry.
You can use this feature with any custom coded indicator providing historical plot values - something you or a favored author have coded.
]Adjust PT and SL percentages
The image above shows adjusted TP & SL percentages - optimize and reward/risk ratio you'd like (:
Override plot an RSI system to procure thorough statistics.
The image above shows manually plotted RSI parameters and a corresponding stat sheet.
Require a symbol to measure above/Below or equal to a particular price level to “validate” a Long/Short entry signal. You can retrieve any data hosted by TradingView and require it measure above/below a user-defined level prior to entry. For instance, you can select "$VIX", and require the ticker to measure less than $30 prior to long/short entry. If "$VIX" measures greater than $30 prior to a long/short signal the position will not open. Alternatively, you can require a symbol to measure above a user-defined price prior to entry. If the retrieved ticker doesn't measure above the user-defined level prior to entry a trade will not open.
The image above shows me requiring the ticker "$VIX" to measure below $30 prior to long/short entry. If %VIS measures greater than $30 when a long/short signal triggers a position will not be opened. Further refine your trading system with this feature - exploit correlations.
Adjust the time window that's tested.
The image above shows configurable start and end dates for the optimization period.
You won't be able to test 800 RSI strategies concomitantly on a 20,000 bar data set.
Consequently, for large data sets (intrasession data) you will have to narrow the optimization window to test a larger number of combinations.
You can test 80 (loads on all data sets), 144 (loads on all data sets), 264 (loads on ~15,000 bar data sets), 312 (loads on ~11,500 bar data sets) and 800 (loads on ~4950 bar data sets)combinations simultaneously. You can test 800 RSI strategies simultaneously on intrasession data; however, you'll likely have to narrow the tested time window.
I recently published a bar count script titled "Bar Count for Backtesting", you can access the script here:
The above script is useful for quickly calculating the number of bars in a time window, or the date for a bar that is "x" number of bars back. Therefore, implementing these scripts cooperatively should improve date selection efficiency (not arbitrarily selecting test start & end dates that fail to load).
I included a tool tip describing the near-maximum bars in a data set that the higher numbers of simultaneous RSI strategies can be tested on.
More to come; enjoy!
(P.S. The script uses private libraries and, consequently, is unable to be published open source)
An optimization script is best implemented to discover what won't work, not what will work. The best performing "optimized" parameters are not a guaranteed profitable investment system. While we may see an exceptionally positive performance for a set of parameters, it's impossible to know how much of that performance is the beneficiary of market noise in the absence of additional testing. Most market moves are noise - irreplicable sequences that offer no predictive utility - and most "good" backtests overwhelmingly benefit from these irreplicable sequences. An investor unfamiliar with this concept may be lead to believe they have found a valid correlation between an indicator sequence and subsequent price movement, despite the correlation being illusory.
Consequently, it should be assumed that the best performing parameters strongly benefitted from market noise and will not work in a live market - until further rigorous statistical tests are performed on an investment system built around the best performing parameters. This includes out-of-sample, in-sample, and forward testing in addition to testing negatively correlated, positively correlated and zero-correlation assets; testing additional assets should be treated as prerequisite to live implementation.
Of course, all trading strategies, even one's that methodically exploit a valid correlation/replicable sequence, will benefit from market noise - it's impossible to avoid. However, a "legit" trading strategy has a chance to work on future price data, while an overoptimized strategy will fail miserably on new price data!
An overoptimized strategy is virtually guaranteed to have a better backtest performance than a valid strategy. The overoptimized strategy will fail in a live market while the valid strategy has a chance of working. So, should you notice the best performing RSI parameters, be sure to build a comprehensive trading system around the parameters and perform additional tests. This is the only way to know if the optimized parameters will truly work in a live market!
Unfortunately, they often will not!
This publication does not constitute investment advice.
Wizard AlgoWizard Algo:
==============================
Features of the indicator:
- BULL/BEAR Signals
- TP (Take-Profit) and Exit System
- Possible Reversal Signals
- Reversal Scalper
- Reversal Bands
- Trend Bar Colors
- Auto Support/Resistance Levels
- Auto Trend-Lines
================================
Description:
1. Signals: The signals consists of 2 different approaches and the users can choose which signal type they want to use. The indicator gives bull/bear signals based on certain condition, such as trend and momentum. The "TP" signals stands for "Take Profit." These signals help users to decide when to take profits or liquidate all position. The Indicator includes an exit system that can used as another means of closing a position. The exit system uses a 1.5x risk to reward ratio to determine where to keep the take profit and stop loss target.
2.Reversal Scalper: Reversal scalpers are the tiny up(aqua) and down(fuchsia) triangles on the chart. These signals a possible reversal in the price and they can be used to enter a scalping trade. The signals uses mainly momentum and candle price action to determine when there could be a possible reversal in price.
3. Reversal Bands: The reversal band is the green/red cloud like indicator. This can help determine when a price is oversold and therefore, it could reverse. Same goes for the short side, if price is in the overbought territory, then it could reverse to the downside. The reversal bands uses mainly volatility. This is not the same thing as Bollinger bands.
4. Bar Colors: The candle bar colors helps to determine the current trend. The colors are given based on the current trend. The colors lime/red shows strong trend, and orange/cyan/blue shows weak trend.
5. Auto S/R and Auto trendlines: These indicators can be used for determining price actions. Both of these work in similar manner. They mainly look at the previous pivots and draws a line connecting the pivots. S/R are the horizontal lines and the trendline have angles to them.
Bounce Manager TrendlinesThe trendline script is made for manual input of trendlines using point clicks on the chart. The script will then see if price respects these lines by the parameters you input in settings panel. On a respectable bounce it will print buy/sell arrows. The script also has functionality to send alerts, this is helpful if you want to automate trendlines . I created this script and many others under the bounce manager toolkit to expand on the signalling capabilities of popular drawing tools as I find using just a crossover to be lacking especialy for full automation.
components:
- Line respect: When price moves past this the script will no longer look for entry until a new trend has been established. The line can also be used as a stop loss.
- Confirmation: When price touches the line during a trend it
will wait to cross over this line to confirm a reaction from the line.
- Consolidation filter: A trend filtering system, this is a distance from
the line price has to break to confirm trend direction.
- Stop loss: This can be set to a percentage distance from the low after
bounce. Or it can be set to the line respect line
- Take profit: This can be a fixed take profit target or a risk to reward
based take profit. With risk to reward it will multiply the stop loss
distance by the input and use that to create target (green cross)
- ATR based or % based: there are 2 versions of the script, one for strict
percentage based logic and another one based on ATR values
If you are having problems figuring out which settings to use I recommend you check the Bounce Manager ATR script for reference as this script plots the components:
Zignaly automation settings:
zignaly integration, you can use the settings panel to decide your risk management. Option to use a fixed take profit % or an automatic risk to reward calculation based on the stop loss. Stop loss can get calculated using the max violation setting as a stop loss (this will put stop loss below line respect level) or when not checked it will use 0.01% below the low of the signal candle as stop loss. Just add your zignaly private key in the settings and use any alert function call as alert. Make sure to use zignaly.com as your webhook url.
If 5 trendlines are not enough use the 20 line input version, this script is for the clean strong trendline trader.
Part of the Honest Algo indicator suite
Bounce Manager 20 TrendlinesThe trendline script is made for manual input of trendlines using point clicks on the chart. The script will then see if price respects these lines by the parameters you input in settings panel. On a respectable bounce it will print buy/sell arrows. The script also has functionality to send alerts, this is helpful if you want to automate trendlines. I created this script and many others under the bounce manager toolkit to expand on the signalling capabilities of popular drawing tools as I find using just a crossover to be lacking especialy for full automation.
components:
- Line respect: When price moves past this the script will no longer look for entry until a new trend has been established. The line can also be used as a stop loss.
- Confirmation: When price touches the line during a trend it
will wait to cross over this line to confirm a reaction from the line.
- Consolidation filter: A trend filtering system, this is a distance from
the line price has to break to confirm trend direction.
- Stop loss: This can be set to a percentage distance from the low after
bounce. Or it can be set to the line respect line
- Take profit: This can be a fixed take profit target or a risk to reward
based take profit. With risk to reward it will multiply the stop loss
distance by the input and use that to create target (green cross)
- ATR based or % based: there are 2 versions of the script, one for strict
percentage based logic and another one based on ATR values
If you are having problems figuring out which settings to use I recommend you check the Bounce Manager ATR script for reference as this script plots the components:
Zignaly automation settings:
zignaly integration, you can use the settings panel to decide your risk management. Option to use a fixed take profit % or an automatic risk to reward calculation based on the stop loss. Stop loss can get calculated using the max violation setting as a stop loss (this will put stop loss below line respect level) or when not checked it will use 0.01% below the low of the signal candle as stop loss. Just add your zignaly private key in the settings and use any alert function call as alert. Make sure to use zignaly.com as your webhook url.
The trendlines you see in preview are based on a long term pitchfork on BTCUSDT 10H chart
If 20 trendlines are too much I will be releasing a 5 line input version, this script is more to be used to automate pitchforks, gann boxes etc.
Part of the Honest Algo indicator suite
Bounce Manager S/RThis script is based on the bounce manager ATR script
The S/R script is made for manual input of horizontal S/R lines, the script will then see if price respects these levels by the parameters you input in settings panel. On a respectable bounce it will print buy/sell arrows. The script also has functionality to send alerts, this is helpful if you want to automate S/R lines.
An easy strategy to use would be the one you see in the preview using a grid of round numbers. This script in no way shape or form promises easy gains and like all algorithms should be forward tested on a paper trading account before using real money.
components:
- Max violation: When price moves past this the script will no longer look for entry until a new trend has been established. The line can also be used as a stop loss.
- Confirmation line: When price touches the line during a trend it
will wait to cross over this line to confirm a reaction from the line.
- Min past distance: A trend filtering system, this is a distance from
the line price has to break to confirm trend direction.
- Stop loss: This can be set to a percentage distance from the low after
bounce. Or it can be set to the max violation line
- Take profit: This can be a fixed take profit target or a risk to reward
based take profit. With risk to reward it will multiply the stop loss
distance by the input and use that to create target (green cross)
- ATR based or % based: there are 2 versions of the script, one for strict
percentage based logic and another one based on ATR values
Part of the Honest Algo service.
Bounce Manager ATRThis is a tool to turn any line or indicator into a signaller from bounces from the source line.
The ATR version is build to specify what would be considered a worthy entry from the line using ATR multiplier values as inputs.
COMPONENTS:
- Max violation: When price moves past this the script will no longer look for entry until a new trend has been established. The line can also be used as a stop loss.
- Confirmation line: When price touches the line during a trend it
will wait to cross over this line to confirm a reaction from the line.
- Min past distance: A trend filtering system, this is a distance from
the line price has to break to confirm trend direction.
- Stop loss: This can be set to a percentage distance from the low after
bounce. Or it can be set to the max violation line
- Take profit: This can be a fixed take profit target or a risk to reward
based take profit. With risk to reward it will multiply the stop loss
distance by the input and use that to create target (green cross)
- ATR based or % based: there are 2 versions of the script, one for strict
percentage based logic and another one based on ATR values
In bounce manager v1 these stop loss and take profit targets are there only for plotting and visual backtesting purposes. Right now it can only send long and short signals.
Part of the Honest Algo service.
Trading Assistant DiNGUETrading Assistant DiNGUE This indicator is like a trading assistant for your charts.
It helps set your biases and emotions aside and lets you focus on managing trades in an easy visual way.
Get various types of signals to enter your trades (either Long or Short). Then use take profits, stops, or the opposite signal to exit trades.
The signals are created from various indicators and sensibility options you can customize any way you want. Works on every timeframe.
You can customize every setting or used the preset ones. Preset settings adjust automatically based on the timeframe you are using on the chart.
The 12 Indicators are Volume - RSI - Stochastic - MacD - Moving Averages (MA) - Rate of Change (ROC) - ADX DMI Directional Movement Index - On Balance Volume (OBV) - Bollinger Bands - VWAP - ATR - Parabolic SAR.
Every indicator can be turned On or Off.
You can adjust the way it creates signals by selecting either 'rise-fall', 'crosses' or by combining both.
You can select the sensitivity of the signal from Normal - Safe - Safer.
You can adjust lengths or use the preset ones.
There are also additional options for each indicator, you can filter weak levels for ADX, filter for tight bands, have ROC above 0…
You can also plot several of those indicators on the screen. 2x Moving Averages, 2x VWAP, 2x ATR, 2x SAR for even easier visualization of the trend.
You can also plot fractals to facilitate once again on trend visualization. Higher high, lower low, higher low, lower high.
Trade with the Trend and Safe Trades:
If you want to have a higher chance of success, you can trade with the trend. First, select the trend timeframe you would like to use. Let's say the “Weekly” trend. Meaning it will generate a signal on the weekly timeframe and based on the result (Long or Short) it will only take trades in that direction. So the trend is LONG on the Weekly and you get a “Long” signal, it will take it. “Short” signals on the other hand will be treated as “stops” and won’t want to go against the trend by going ‘short’.
Safe Trend works in the same manner, but instead of using the signal on a bigger timeframe, it uses an indicator as to the deciding factor. Let's say you select the 200SMA as the “Safe signal”. The indicator will only go “Long” when above the 200SMA and “Short” under the 200SMA. Otherwise, it will put a stop instead of going against the trend.
Stop Loss:
There are 4 different types of stop-loss that you can use at the same time.
- Indicator Stop
- Fib stop
- Fix % stop
- Trailing stop
You can plot the stops directly on the chart AND OR add them to the panel for an easy visualization once again.
With the ‘indicator stop’, you can select one of the two: MA ATR SAR VWAP as a stop.
Fib stop, it uses fib numbers to calculate a stopping point.
Fix %, you can select your max loss in percent. Could be 2%, 5%
A trailing stop is like a fixed stop but that will trail as the price moves in the right direction.
Take Profit:
There are 4 different types of take profit that you can use simultaneously.
- Fix % Take Profit
- ATR multiple Take Profit
- Fib multiple Take Profit
- Bollinger Band Take Profit
Fix % just let you set a fix take profit target in percent.
ATR multiple lets you select a target based on a multiple of the average true range.
Fib multiple lets you select a target based on a fib multiple
Bolling Band lets you take profit based on the Bollinger band settings you select.
Visual Panel:
The visual panel lets you see exactly how is the last trade progressing. It will give you the entry price, profit, stop, and target. You can turn it on or off, as is for the stop and target.
You can also decide to plot 1 position or more, you can even show all the possible signals, add backgrounds with colors. You can also plot the bigger Trend and Safe Signals explained above.
If you have any questions, suggestions, or comments, feel free to do so!
Smart PatternsHi Traders, and welcome to Smart Patterns.
Patterns can be very profitable, yet hard to trade, even when combined with other indicators and techniques. This script aims to increase the accuracy of signals by adding a statistical approach to candle patterns, along with tools to filter them.
For example, if the Success Rate is above a certain threshold, it means that the pattern has resulted in a higher ratio of profitable trades and hence it has a higher likelihood of succeeding in the current market conditions. However, should that pattern fall below the desired Success Rate, the script will "hide" it and won't trigger a signal, but still keeping track of its performance to start firing it again when coming back above the Success Rate.
Key Features
The script features custom patterns as well as some of TradingView's built-in patterns. Not all patterns can be added of course, but let me know if I missed other interesting ones and I will do my best to add them in future updates.
When a Pattern reaches the Min. Target % within the Candles Range selected, it is then considered valid. Please remember that doesn't take into account possible draw-downs or stop-losses.
Patterns are constantly evaluated inside the script; when a pattern's overall score (Success Rate %) is below the required minimum, the signal won't be triggered. However, the script will keep monitoring it in the background, and trigger a signal again when its score comes back above the minimum Success Rate.
The Patterns' signals can be filtered by Success Rate, Minimum Patterns detected and candle size (calculated via ATR).
The Data Panel will show individual statistics for Enabled Patterns as well as final statistics for Triggered Patterns.
Tooltips in the settings panel will further explain available options.
Alerts: simple alerts can be added by selecting "any alert() function call" when adding an Alert. Customizable alerts can also be created through dropdown menu ( Bullish \ Bearish Patterns Detected).
Fully customizable to adapt to light and dark themes
Notes and Recommendations
Always be realistic when tweaking settings, making sure the output makes sense in a normal trading environment. Statistics are helpful but shouldn't be the only factor to base your decisions on - even if a pattern reaches 100% Success Rate, it doesn't mean it will keep being profitable.
Since the script crunches quite some data it may give output errors especially if settings are not properly tweaked - or if the filters are too liberal (e.g. Min Target % set to 0.1) - hence triggering lots of signals. Please adjust the settings or enable only the Patterns you are trading.
If the script gives the error "Too many drawings, cannot clean oldest" it means your settings give too many signals and that is usually not a good sign - it's recommended to double-check your settings as mentioned above.
Credits
Trading View for built-in patterns
Special thanks go to PineCoders community for their incredible efforts and learning material to help mastering PineScript!
