[KenStrat] - Catching trend for the PipsDescription:
The " - Catching trend for the Pips" indicator is designed to help traders identify potential trend reversal points and capture significant price movements, with a focus on both daily and weekly perspectives.
**Friday Close Analysis:**
This component of the indicator concentrates on the Friday close of each week. The script displays visual elements on the daily chart exclusively. Specifically, it marks key price levels, providing insights into the closing position relative to the week's range. The indicator categorizes the closing price into three zones: above 66%, between 33% and 66%, and below 33%. This distinction aids traders in assessing the strength and directionality of the market at the end of the week. The displayed label offers a concise summary of the Friday's closing behavior, aiding in quick trend analysis.
**Weekly Trend Verification:**
The second part of the indicator focuses on verifying the weekly trend. By identifying the highest highs and lowest lows of the past two weeks, the script determines whether the current price action exhibits a bullish or bearish trend. The visualization on the chart helps traders assess the broader trend direction and make informed decisions based on the prevailing market sentiment. The label dynamically updates to indicate whether the overall trend is bullish, bearish, or neutral.
**Key Features:**
- Differentiates between Friday closing price zones for trend assessment.
- Weekly trend verification based on highest highs and lowest lows.
- Visual representation of trend conditions on the chart.
- Dynamic labels for quick interpretation of trend strength and direction.
- Exclusively designed for daily and weekly timeframes.
The " - Catching trend for the Pips" indicator provides a comprehensive tool for traders seeking to capture and analyze trend movements efficiently, allowing for informed decision-making in the dynamic Forex market.
Cycles
Multi-TrendMulti-Trend is an indicator that simplifies the task of tracking market trends across up to 10 custom timeframes. With the flexibility to select your preferred timeframes, with current or any specific data in past, this indicator offers a clear visual representation of the market's direction.
For each chosen timeframe and history, Multi-Trend provides a straightforward arrow-based signal system: an upward arrow signifies a rising market, a downward arrow indicates a falling market, and a right arrow denotes a market at equilibrium. These default symbols can be effortlessly personalized to your choice of symbols or text, allowing you to tailor the indicator to your specific needs.
The trend direction is calculated using a reliable methodology based on the percentage change in the close price for the selected timeframe.
Martingale + Grid DCA Strategy [YinYangAlgorithms]This Strategy focuses on strategically Martingaling when the price has dropped X% from your current Dollar Cost Average (DCA). When it does Martingale, it will create a Purchase Grid around this location to likewise attempt to get you a better DCA. Likewise following the Martingale strategy, it will sell when your Profit has hit your target of X%.
Martingale may be an effective way to lower your DCA. This is due to the fact that if your initial purchase; or in our case, initial Grid, all went through and the price kept going down afterwards, that you may purchase more to help lower your DCA even more. By doing so, you may bring your DCA down and effectively may make it easier and quicker to reach your target profit %.
Grid trading may be an effective way of reducing risk and lowering your DCA as you are spreading your purchases out over multiple different locations. Likewise we offer the ability to ‘Stack Grids’. What this means, is that if a single bar was to go through 20 grids, the purchase amount would be 20x what each grid is valued at. This may help get you a lower DCA as rather than creating 20 purchase orders at each grid location, we create a single purchase order at the lowest grid location, but for 20x the amount.
By combining both Martingale and Grid DCA techniques we attempt to lower your DCA strategically until you have reached your target profit %.
Before we start, we just want to make it known that first off, this Strategy features 8% Commission Fees, you may change this in the Settings to better reflect the Commission Fees of your exchange. On a similar note, due to Commission Fees being one of the number one profit killers in fast swing trade strategies, this strategy doesn’t focus on low trades, but the ideology of it may result in low amounts of trades. Please keep in mind this is not a bad thing. Since it has the ability to ‘Stack Grid Purchases’ it may purchase more for less and result in more profit, less commission fees, and likewise less # of trades.
Tutorial:
In this example above, we have it set so we Martingale twice, and we use 100 grids between the upper and lower level of each martingale; for a total of 200 Grids. This strategy will take total capital (initial capital + net profit) and divide it by the amount of grids. This will result in the $ amount purchased per grid. For instance, say you started with $10,000 and you’ve made $2000 from this Strategy so far, your total capital is $12,000. If you likewise are implementing 200 grids within your Strategy, this will result in $12,000 / 200 = $60 per grid. However, please note, that the further down the grid / martingale is, the more volume it is able to purchase for $60.
The white line within the Strategy represents your DCA. As the Strategy makes purchases, this will continue to get lower as will your Target Profit price (Blue Line). When the Close goes above your Target Profit price, the Strategy will close all open positions and claim the profit. This profit is then reinvested back into the Strategy, which may exponentially help the Strategy become more profitable the longer it runs for.
In the example above, we’ve zoomed in on the first example. In this we want to focus on how the Strategy got back into the trades shortly after it sold. Currently within the Settings we have it set so our entry is when the Lowest with a length of 3 is less than the previous Lowest with a length of 3. This is 100% customizable and there are multiple different entry options you can choose from and customize such as:
EMA 7 Crossover EMA 21
EMA 7 Crossunder EMA 21
RSI 14 Crossover RSI MA 14
RSI 14 Crossunder RSI MA 14
MFI 14 Crossover MFI MA 14
MFI 14 Crossunder MFI MA 14
Lowest of X Length < Previous Lowest of X Length
Highest of X Length > Previous Highest of X Length
All of these entry options may be tailored to be checked for on a different Time Frame than the one you are currently using the Strategy on. For instance, you may be running the Strategy on the 15 minute Time Frame yet decide you want the RSI to cross over the RSI MA on the 1 Day to be a valid entry location.
Please keep in mind, this Strategy focuses on DCA, this means you may not want the initial purchase to be the best location. You may want to buy when others think it is a good time to sell. This is because there may be strong bearish momentum which drives the price down drastically and potentially getting you a good DCA before it corrects back up.
We will continue to add more Entry options as time goes on, and if you have any in mind please don’t hesitate to let us know.
Now, back to the example above, if we refer to the Yellow circle, you may see that the Lowest of a length of 3 was less than its previous lowest, this triggered the martingales to create their grids. Only a few bars later, the price went into the first grid and went a little lower than its midpoint (Yellow line). This caused about 60% of the first grid to be purchased. Shortly after the price went even lower into this grid and caused the entire first martingale grid to be purchased. However, if you notice, the white line (your DCA) is lower than the midpoint of the first grid. This is due to the fact that we have ‘Stack Grid Purchases’ enabled. This allows the Strategy to purchase more when a single bar crosses through multiple grid locations; and effectively may lower your average more than if it simply executed a purchase order at each grid.
Still looking at the same location within our next example, if we simply increase the Martingale amount from 2 to 3 we can see something strange happens. What happened is our Target Profit price was reached, then our entry condition was met, which caused all of the martingale grids to be formed; however, the price continued to increase afterwards. This may not be a good thing, sure the price could correct back down to these grid locations, but what if it didn’t and it just kept increasing? This would result in this Strategy being stuck and unable to make any trades. For this reason we have implemented a Failsafe in the Settings called ‘Reset Grids if no purchase happens after X bars’.
We have enabled our Failsafe ‘Reset Grids if no purchase happens after X bars’ in this example above. By default it is set to 100 bars, but you can change this to whatever works best for you. If you set it to 0, this Failsafe will be disabled and act like the example prior where it is possible to be stuck with no trades executing.
This Failsafe may be an important way to ensure the Strategy is able to make purchases, however it may also mean the Grids increase in price when it is used, and if a massive correction were to occur afterwards, you may lose out on potential profit.
This Strategy was designed with WebHooks in mind. WebHooks allow you to send signals from the Strategy to your exchange. Simply set up a Custom TradingView Bot within the OKX exchange or 3Commas platform (which has your exchange API), enter the data required from the bot into the settings here, select your bot type in ‘Webhook Alert Type’, and then set up the alert. After that you’re good to go and this Strategy will fully automate all of its trades within your exchange for you. You need to format the Alert a certain way for it to work, which we will go over in the next example.
Add an alert for this Strategy and simply modify the alert message so all it says is:
{{strategy.order.alert_message}}
Likewise change from the Alert ‘Settings’ to Alert ‘Notifications’ at the top of the alert popup. Within the Notifications we will enable ‘Webhook URL’ and then we will pass the URL we are sending the Webhook to. In this example we’ve put OKX exchange Webhook URL, however if you are using 3Commas you’ll need to change this to theirs.
OKX Webhook URL:
www.okx.com
3Commas Webhook URL:
app.3commas.io
Make sure you click ‘Create’ to actually create this alert. After that you’re all set! There are many Tutorials videos you can watch if you are still a little confused as to how Webhook trading works.
Due to the nature of this Strategy and how it is designed to work, it has the ability to never sell unless there it will make profit. However, because of this it also may be stuck waiting in trades for quite a long period of time (usually a few months); especially when your Target Profit % is 15% like in the example above. However, this example above may be a good indication that it may maintain profitability for a long period of time; considering this ‘Deep Backtest’ is from 2017-8-17.
We will conclude the tutorial here. Hopefully you understand how this Strategy has the potential to make calculated and strategic DCA Grid purchases for you and then based on a traditional Martingale fashion, bulk sell at the desired Target Profit Percent.
Settings:
Purchase Settings:
Only Purchase if its lower than DCA: Generally speaking, we want to lower our Average, and therefore it makes sense to only buy when the close is lower than our current DCA and a Purchase Condition is met.
Purchase Condition: When creating the initial buy location you must remember, you want to Buy when others are Fearful and Sell when others are Greedy. Therefore, many of the Buy conditions involve times many would likewise Sell. This is one of the bonuses to using a Strategy like this as it will attempt to get you a good entry location at times people are selling.
Lower / Upper Change Length: This Lower / Upper Length is only used if the Purchase Condition is set to 'Lower Changed' or 'Upper Changed'. This is when the Lowest or Highest of this length changes. Lowest would become lower or Highest would become higher.
Purchase Resolution: Purchase Resolution is the Time Frame that the Purchase Condition is calculated on. For instance, you may only want to start a new Purchase Order when the RSI Crosses RSI MA on the 1 Day, but yet you run this Strategy on the 15 minutes.
Sell Settings:
Trailing Take Profit: Trailing Take Profit is where once your Target Profit Percent has been hit, this will trail up to attempt to claim even more profit.
Target Profit Percent: What is your Target Profit Percent? The Strategy will close all positions when the close price is greater than your DCA * this Target Profit Percent.
Grid Settings:
Stack Grid Purchases: If a close goes through multiple Buy Grids in one bar, should we amplify its purchase amount based on how many grids it went through?
Reset Grids if no purchase happens after X Bars: Set this to 0 if you never want to reset. This is very useful in case the price is very bullish and continues to increase after our Target Profit location is hit. What may happen is, Target Profit location is hit, then the Entry condition is met but the price just keeps increasing afterwards. We may not want to be sitting waiting for the price to drop, which may never happen. This is more of a failsafe if anything. You may set it very large, like 500+ if you only want to use it in extreme situations.
Grid % Less than Initial Purchase Price: How big should our Buy Grid be? For instance if we bought at 0.25 and this value is set to 20%, that means our Buy Grid spans from 0.2 - 0.25.
Grid Amounts: How many Grids should we create within our Buy location?
Martingale Settings:
Amount of Times 'Planned' to Martingale: The more Grids + the More Martingales = the less $ spent per grid, however the less risk. Remember it may be better to be right and take your time than risk too much and be stuck too long.
Martingale Percent: When the current price is this percent less than our DCA, lets create another Buy Grid so we can lower our average more. This will make our profit location less.
Webhook Alerts:
Webhook Alert Type: How should we format this Alert? 3Commas and OKX take their alerts differently, so please select the proper one or your webhooks won't work.
3Commas Webhook Alerts:
3Commas Bot ID: The 3Commas Bot ID is needed so we know which BOT ID we are sending this webhook too.
3Commas Email Token: The 3Commas Email Token is needed for your webhooks to work properly as it is linked to your account.
OKX Webhook Alerts:
OKX Signal Token: This Signal Token is attached to your OKX bot and will be used to access it within OKX.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
YOY Change (Log Scale)ear-Over-Year Change Indicator (Log Scale) calculates the percentage change of a security's price over the past year, on a logarithmic scale. It is a momentum indicator that can be used to identify trends and potential reversals.
A positive value on the indicator indicates that the security's price has increased over the past year, while a negative value indicates that the price has decreased. A larger positive or negative value indicates a stronger trend.
The indicator can be used to identify overbought and oversold conditions. When the indicator is significantly above or below zero, it may be a sign that the security is overbought or oversold and a reversal may be imminent.
Week designationThe script is primarily used for visualizing the beginning and end of the week. It is particularly helpful when working with time intervals shorter than one day. In a very simple and clear manner, you can see when a specific week has started. This makes it easier to assess the market sentiment in a short timeframe.
Here are the operating principles of this script:
Initialization:
The script begins with initialization, where basic parameters and settings such as line colors and line style are defined.
Determining the Session Start:
The startSession(hour, minute) function is used to calculate the starting time of a session on the chart. Sessions can be divided into different time intervals, such as the daily session (D), weekly session (W), and monthly session (M).
Checking for Session Start:
The script checks if a new session is starting. If so, a vertical line is inserted on the chart to mark the beginning of that session.
isSessionStart checks for the start of the daily session.
isSessionStart_2 checks for the start of the weekly session.
isSessionStart_3 checks for the start of the monthly session.
Marking Mondays:
The script checks if the current day is Monday (the day of the week number 2 represents Monday).
If the current session is starting or it is Monday, a vertical line is inserted on the chart with the day designation (color color_day).
Marking Lines on the Chart:
The lines inserted on the chart are vertical and have a specified style and color, which can be customized in the settings.
Ultimate Seasonality Indicator [SS]Hello everyone,
This is my seasonality indicator. I have been working on it for like 2 months, so hope you like it!
What it does?
The Ultimate Seasonality indicator is designed to provide you, the trader, an in-depth look at seasonality. The indicator gives you the ability to do the following functions:
View the most bearish and bullish months over a user defined amount of years back.
View the average daily change for each respective months over a user defined amount of years back.
See the most closely correlated month to the current month to give potential insights of likely trend.
Plot out areas of High and Low Seasonality.
Create a manual seasonal forecast model by selecting the desired month you would like to model the current month data after.
Have the indicator develop an autoregressive seasonal model based on seasonally lagged variables, using principles of machine learning.
I will go over these functions 1 by 1, its a whopper of an indicator so I will try to be as clear and concise as possible.
Viewing Bullish vs Bearish Months, Average Daily Change & Correlation to Current Month
The indicator will break down the average change, as well as the number of bullish and bearish days by month. See the image below as an example:
In the table to the right, you will see a breakdown of each month over the past 3 years.
In the first column, you will see the average daily change. A negative value, means it was a particularly bearish month, a positive value means it was a particularly bullish month.
The next column over shows the correlation to the current dataset. How this works is the indicator takes the size of the monthly data for each month, and compares it to the last X number of days up until the last trading day. It will then perform a correlation assessment to see how closely similar the past X number of trading days are to the various monthly data.
The last 2 columns break down the number of Bullish and Bearish days, so you can see how many red vs green candles happened in each respective month over your set timeframe. In the example above, it is over the pats 3 years.
Plot areas of High and Low Seasonality
In the chart above, you will see red and green highlighted zones.
Red represents areas of HIGH Seasonality .
Green represents areas of LOW Seasonality .
For this function, seasonality is measured by the autocorrelation function at various lags (12 lags). When there is an average autocorrelation of greater than 0.85 across all seasonal lags, it is considered likely the result of high seasonality/trend.
If the lag is less than or equal to 0.05, it is indicative of very low seasonality, as there is no predominate trend that can be found by the autocorrelation functions over the seasonally lagged variables.
Create Manual Seasonal Forecasts
If you find a month that has a particularly high correlation to the current month, you can have the indicator create a seasonal model from this month, and fit it onto the current dataset (past X days of trading).
If we look at the example below:
We can see that the most similar month to the current data is September. So, we can ask the indicator to create a seasonal forecast model from only September data and fit it to our current month. This is the result:
You will see, using September data, our most likely close price for this month is 450 and our model is y= 1.4305x + -171.67.
We can accept the 450 value but we can use the equation to model the data ourselves manually.
For example, say we have a target price on the month of 455 based on our own analysis. We can calculate the likely close price, should this target be reached, by substituting this target for x. So y = 1.4305x + -171.67 becomes
y = 1.4305(455) +- 171.67
y = 479.20
So the likely close price would be 479.20. No likely, and thus its not likely we are to see 455.
HOWEVER, in this current example, the model is far too statistically insignificant to be used. We can see the correlation is only 0.21 and the R squared is 0.04. Not a model you would want to use!
You want to see a correlation of at least 0.5 or higher and an R2 of 0.5 or higher.
We can improve the accuracy by reducing the number of years we look back. This is what happens when we reduce the lookback years to 1:
You can see reducing to 1 year gives December as the most similar month. However, our R2 value is still far too low to really rely on this data whole-heartedly. But it is a good reference point.
Automatic Autoregressive Model
So this is my first attempt at using some machine learning principles to guide statistical analysis.
In the main chart above, you will see the indicator making an autoregressive model of seasonally lagged variables. It does this in steps. The steps include:
1) Differencing the data over 12, seasonally lagged variables.
2) Determining stationarity using DF test.
3) Determining the highest, autocorrelated lags that fall within a significant stationary result.
4) Creating a quadratic model of the two identified lags that best represents a stationary model with a high autocorrelation.
What are seasonally lagged variables?
Seasonally lagged variables are variables that represent trading months. So a lag of 25 would be 1 month, 50, 2 months, 75, 3 months, etc.
When it displays this model, it will show us what the results of the t-statistic are for the DF test, whether the data is stationary, and the result of the autocorrelation assessment.
It will then display the model detail in the tip table, which includes the equation, the current lags being used, the R2 and the correlation value.
Concluding Remarks
That's the indicator in a nutshell!
Hope you like it!
One final thing, you MUST have your chart set to daily, otherwise you will get a runtime error. This can ONLY be used on the daily timeframe!
Feel free to leave your questions, comments and suggestions below.
Note:
My "ultimate" indicators are made to give the functionality of multiple indicators in one. If you like this one, you may like some of my others:
Ultimate P&L Indicator
Ultimate Customizable EMA/SMA
Thanks for checking out the indicator!
The Ultimate Buy and Sell IndicatorThis indicator should be used in conjunction with a solid risk management strategy that does not over-leverage positions and uses stop-losses. You can not rely 100% on the signals provided by this indicator (or any other for that matter).
With that said, this indicator can provide some excellent signals.
It has been designed with a large number of customization options intended for advanced traders, but you do not HAVE to be an advanced user to simply use the indicator. I have tried to make it easy to understand, and this section will provide you with a better understanding of how to use it.
NOTE:
While NOT REQUIRED, I would recommend also finding my indicator called, "Ultimate RSI", which is designed to work together with this indicator (visually). They both contain the same settings and allow you to visualize changes made in this indicator that can not be displayed on the main chart.
This indicator creates it's own candles(bars), so you have to go into your main settings and turn off the "body, border and wick" color settings. Using a dark background is also recommended.
How does it work?
The indicator mainly relies on the RSI indicator with Bollinger Bands for signals. (Though not entirely)
First, there are something that I call "Watch Signals", which are various Bollinger Band crossing events. This could be the price crossing Bollinger Bands or the RSI crossing Bollinger Bands.
There are separate watch signals for buys and sells. Buy watch signals are colored orange to match the BUY signal candle color and Fuchsia (kind of a bright purple) to match SELL signal candles.
In order for most buy or sell signals to be created, there must first be a watch signal. There is a lookback period (or length) for watch signals to be used, and after that many candles (bars) have passed, they will be ignored. You can set a length to look back as well as a time to wait before creating any.
What this means is that if there has previously been (for instance) a sell signal. You can tell it to wait 10 bars before creating any buy watch signals. You can then also tell it that it should look back 10 bars from the current one in order to find any buy watch signals. This means that if you had it set up that way 10 to wait and 10 to validate, it would start allowing buy watch signals 11 bars after a sell, and then once you hit 20 bars, it will start leaving a gap (invisible to you) as the 10 bar lookback period starts moving forward with each new bar. This is useful in order to keep signals more spaced apart as some bad signals come quickly after another one.
Example: You may get a sell signal where the Bollinger bands are tight, then the price easily drops down into the lower band creating a buy watch signal, then you get a "fake" or short pump up and it says buy, but then drops dramatically afterwards. The wait period can ensure that the sell stays in effect longer before a buy is considered by blocking any buy watch signals for a period of time.
After you get a watch signal, the system then looks for various other things to happen to create buy or sell signals. This could be the RSI crossing the (slow) RSI Basis line (from its Bollinger bands), it could be the price crossing its basis line, it could be MACD crosses, it could even be RSI crossing certain levels. All of these are options. If you like the MACD strategy and want it to give you buy and sell signals from just MACD crosses, simply select that option for signals.
It is also able to use the first of any of the options that takes place.
I included an option to force alternating buy and sell signals, rather than showing groups of, or subsequent buy, buy, buy signals, for instance.
Moving on....
You can change the moving average that is used to calculate the RSI. The standard moving average for RSI is the RMA (aka SWMA). Changes to this can dramatically change your signals. You also have the option to change the moving average type used in the Bollinger bands calculation. You can change the length of these as well. The same goes for the Bollinger bands over the Price chart. I added an ATR option for the RSI Bollinger bands to play with, as well. You are able to adjust the standard deviation (multiplier) of the bands as well, which will of course affect the signals.
The ways you can play with signals are nearly infinite, so have fun figuring it out.
The indicator allows for moving averages to be shown as well, with a variety of types to choose from. The standard numbers are 5, 10, 20, 50, 100 and 200, with the addition of a custom moving average of your choice. You can also change the color of this one. You can choose to show them all or any of them you want to show, in any combination, although the TYPE of moving average (SMA, EMA, WMA, etc.) will apply to all of them.
You may also notice the Bollinger Bands over the Price are colored, and become more or less transparent.
The color is derived from the trend of the RSI or the RSI basis (your choice). It looks back at the value however many bars you want and compares the values and that's how it determines if it is trending up or down. Since RSI is a directional momentum indicator, this can be quite useful. If you see the bands are getting darker, this will explain why.
The indicator has a lookback period for determining the widest the bands (which measure volatility) have been over that period of time. This is the baseline. It then will make the bands disappear (by making them more transparent) if the volatility is low. This indicates that a change in volatility is coming and that price isn't really changing much compared to the past (default 500) bars. If they become bright, this is because price has started trending in a direction and volatility is increasing.
I should also note that the candles are colored based on RSI levels.
If you use the Ultimate Companion indicator, you will be able to see the RSI levels (zones) that the colors are based on. As RSI moves into a new range, the candle color will change.
I have created a yellow zone where the candles turn yellow. This is when RSI is between (default) 45 and 55, indicating there is basically no momentum and price is going sideways. This is a good place to get trapped in bad trades, and there is a Yellow RSI Filter to block signals in this area to keep you from entering bad trades.
Green candles indicate values over 55 (getting brighter as RSI rises) and red candles are RSI values under 45 (getting brighter as RSI values get lower). If you see white, this means RSI is either over 80 or under 20. A sharp reversal is almost always imminent at this stage.
When we talk about Buy and Sell Signals, they draw a green or red triangle and it literally says BUY or SELL. There is an option to color the background for added visibility. These signals do not "repaint", what this means is that they can be late. To account for this, I have included a background color that will flash as a warning that a buy or sell could be imminent, although it may fail to break through and set a buy or sell signal. This is simply an advanced warning. The reason is that sometimes a candle may be very large and you won't be told to buy or sell during the candle until the move is completely over and now you're getting in on the next one. That's not a great feeling, so I made it repaint the background color and not repaint the completed signal. You get the best of both worlds.
This indicator also uses complex logic to handle things.
When there is a buy signal, it enters into a state of having been bought, or a "bought state". The same for sells. If Force alternating signals is off, you could have more than one buy in a bought state, or more than one sell in a sell state. There is an option to color the background green during the full duration of a bought state, or red during the full duration of a sold state.
I have added divergence.
This shows that the lows or highs of RSI and PRICE are different. If RSI is making higher highs but the price is not, then the price is likely to follow this bullish divergence, if the opposite happens, it's bearish. It will draw a line on the chart connecting the highs and lows and call it bearish or bullish. You can adjust this as well.
I have an RSI High/Low filter. If the RSI basis (or average) is very high or low, you can block signal from this area since the price is likely to continue in that direction before actually reversing.
You can change the settings of the MACD if you choose to use it for signals, and if you want to see it, you'll have to run that indicator below the chart and match the settings to see what is going on, just like the RSI.
Going back to Watch Signals. You can also choose to require more than one watch signal if you choose. You can skip watch signals, so it will ignore the first or second one, whatever you want to do. You can color the background to show you where watch signals have been skipped.
Regarding the wait period for creating watch signals after a sell or after a buy, you can also color the background to see where these were blocked by the wait period.
Lastly you can choose which type of watch signals to use, or keep them from being shown on the chart. This allows you to study the history of how the asset you are trading behaves and customize the behavior of signals based on your study of it.
Everything in the settings area has tooltips, which will explain what that thing does to help you along this journey.
I hope this indicator (and perhaps Ultimate RSI alongside this) will help you take your trading to the next level.
Normalized Price VolumeThe Normalized Price Volume (NPV) indicator is a unique tool designed to offer insights into the relationship between price movements and trading volume. By normalizing these factors, NPV helps traders identify potential price trends and reversals with greater precision.
Key Features:
Normalization: NPV leverages the Average True Range (ATR) to normalize price changes, making them comparable across different assets and timeframes.
Price and Volume Ratios: The indicator calculates the ratio of normalized price changes and volume to provide valuable information about the dynamics between price and trading activity.
Sum of Changes: NPV also presents the sum of normalized price changes over a user-defined period, allowing you to gauge the overall trend strength.
Customizable Averages: Adjust the length of the moving averages used in the price and volume ratios to fine-tune the sensitivity of the indicator to your trading strategy.
NPV is a versatile tool that can be used for various trading and investment approaches. Whether you're a day trader, swing trader, or investor, NPV can help you make more informed decisions by shedding light on the interactions between price and volume in the market.
Disclaimer: This indicator is for educational and informational purposes only. It should be used in conjunction with other analysis techniques and not solely for making trading decisions.
Normalized Detrended Price OscillatorThe Normalized Detrended Price Oscillator (NDPO) is a powerful tool for traders and analysts to understand price trends with greater clarity. This indicator is derived from the Detrended Price Oscillator (DPO) and offers a normalized perspective to help you assess price movements more effectively.
Key Features:
Length Control: Adjust the indicator's sensitivity to price fluctuations with the customizable length parameter.
Centered or Not: Choose between centered or non-centered calculations for the DPO, allowing you to align the indicator with your specific trading strategy.
Normalized Values: The NDPO normalizes the DPO values by dividing them by the Average True Range (ATR), providing a standardized view of price movements.
The NDPO helps traders identify potential reversals, divergences, and overbought/oversold conditions in the market. It's a valuable addition to your technical analysis toolkit, offering insights into price action that can lead to more informed trading decisions.
Disclaimer: This indicator is for educational and informational purposes only. It should be used in conjunction with other analysis techniques and not solely for making trading decisions.
Time Matrix [Pro+] (DRxICT)Description:
The Time Matrix Pro is an automated Time-based trading tool adaptable to futures, forex, and bond markets. This indicator is inspired by concepts taught by the Inner Circle Trader (ICT) and ICT_Concepts.
ICT’s repertoire encompasses the concepts of liquidity and couples them with Time. The Time Matrix helps the analyst to locate key Time-based price levels to determine bias and recurring price patterns within the market. Analysts can use levels like Previous Day’s Highs and Lows, Weekly Highs and Lows, Session Openings, and Macros to base and qualify Premium and Discount arrays in intraday analysis.
Session Boxes are Time opportunities of the day that identify the market mechanics of consolidation, expansion, retracement, and reversals.
ICT_Concepts's Session Boxes are described as the Premarket, AM Session, PM session:
Premarket is defined as 9:30pm to 1:30am
AM session is defined as 4:00am to 11:00am
PM Session is defined as 11:30am to 2:15pm
Understanding how Time is crucial for identifying intraday profiling, the analyst is able to toggle price levels in conjunction with Time-based macros. These help analyze key market turning points that can correspond to unique market mechanics.
Beyond the Time-based liquidity levels, and the Time macros, there are also predefined Time clusters.
These clusters highlight a significant lower Timeframe candle which was found to hold significant value by ICT_Concepts. Very much alike Time-based liquidity levels, analysts will notice how price reacts to support or negate existing orderflow, trend and direction.
Key Features:
Customizable Extension: the analyst is given the choice to toggle the ending Time Offset to either Noon NY Time or at the end of the trading day.
Time-Based Toggles: choose individual Time-based prices to highlight on your chart.
Time Table: depending on the Timeframe, the Time Table will display the number of bars and the Time elapsed since the Time-based liquidity levels were established.
Other Features
Customize Session Boxes Color
Customize Time-Based Liquidity Line Style
Customize Time-Based Liquidity Level Color
Customize Time-Based Liquidity Line Width
Customize Table Size and Location
Usage Guidance:
Add Time Matrix to your Tradingview chart.
Customize your desired settings of Time-Based Liquidity Levels to align with your personal preference.
Observe where the Time-Based Liquidity Levels as well as Previous Day, Week, and Macros play a role in intraday narrative.
Analysts can choose to utilize Time-Based Liquidity Levels as automated framework to organize models and layouts.
These tools are available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products.
Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Bitcoin Halving Cycle ProfitThe Bitcoin Halving Cycle Profit indicator, developed by Kevin Svenson , unveils a consistent and predetermined profit-taking cycle triggered by each Bitcoin halving event. This indicator streamlines the analysis of halving occurrences, providing explicit signals for both profit-taking and Dollar-Cost Averaging strategies.
Following each Bitcoin halving event, a fixed number of weeks consistently mark the period of maximum profitability for profit-taking:
🔄 Halving Cycle Profit Timeline Explained:
• 40 Weeks (Post-Halving) = Start of the optimal profit-taking zone.
• 80 Weeks (Post-Halving) = "Last Call" for profit-taking before the onset of a bear market.
• 125 Weeks (Post-Halving) = The optimal timeframe to begin Dollar-Cost Averaging.
(Bitcoin Weekly Chart using Halving Cycle Profit)
One standout feature of this indicator is its inherent clarity and comprehensive labeling. This quality makes it exceptionally easy to discern the locations of key factors and turning points, enhancing your understanding of the market dynamics it highlights.
(Bitcoin Daily Chart using Halving Cycle Profit)
🚀 This indicator doesn't limit its effectiveness to just Bitcoin; it seamlessly integrates with top blue-chip altcoins like Ethereum and most household names in the crypto industry.
( Ethereum Weekly Chart using Halving Cycle Profit)
🛠️ Customizable display options are availible. Users have the flexibility to toggle/adjust labels, lines, and color fills according to their preferences.
📑 In summary, the Bitcoin Halving Cycle Profit indicator is a versatile and user-friendly tool, offering clarity and customization for traders navigating both Bitcoin and top altcoins.
⚠️ It's important to note that while the Bitcoin Halving Cycle Profit indicator provides historical insights, past performance does not guarantee future results. Timing profitability in the cryptocurrency market involves inherent risks, and this indicator should not be construed as financial advice. Users are encouraged to exercise caution, conduct thorough research, and make informed decisions based on their individual risk tolerance and financial goals.
New York Sessions Morning, Lunch and afternoon. AMKDescription
The script is designed to highlight the New York Stock Exchange's trading day, broken down into three specific sub-sessions: morning, lunchtime, and afternoon. Each sub-session is color-coded to provide an immediate visual cue about which portion of the trading day is currently active. Additionally, this script allows the user to adjust the time zone offset, making it adaptable for traders in different time zones around the world.
Originality
While there are scripts that highlight the entire trading day or specific market hours, this script adds granularity by breaking down the New York trading session into its typical behavioral parts: the morning rush, the lunchtime lull, and the afternoon action. The addition of an adjustable time zone offset is a unique feature that makes the tool more versatile and accommodating to a global user base.
Usefulness
The ability to visualize these different trading sessions can be valuable for various types of traders:
Day Traders: The script helps to immediately identify which session they are in, aiding in their trading strategy as market behavior can vary between these periods.
Swing Traders: They may use these sub-sessions to time their entries or exits, especially if they're based in different time zones.
Market Analysts: The color-coded sessions provide a quick way to analyze the historical performance and volatility of an asset during different trading periods.
Global Traders: The time zone adjustment feature makes it easy for traders outside of the Eastern Time Zone to customize the script according to their local time, increasing its utility across different markets.
Educational Purpose: For new traders, this could serve as an educational tool to understand the typical behavior of the stock market at different times of the day.
So, whether you're timing an intraday entry or looking for patterns tied to specific market sessions, this script offers a straightforward, visual way to keep track of where you are in the trading day.
Cycle OscillatorThe Cycle Oscillator is a tool developed to help traders analyze market cycles thanks to a simplified version of the Hurst theory and the easy visualization provided by the detrended cycle.
This indicator has two functions:
- The first one is the plotting of a line that oscillates above and below the zero line, which can be used to find the cycle direction and momentum
- The second feature is the next-cycle bottom forecaster, useful for estimating the timing of the future pivot low based on the pivot low of the oscillator.
This last feature shows graphically the period in which the next low will probably happen, using as a calculation method the timing of the previous indicator's lows.
Additionally, the user can choose to modify the cycle length to analyze bigger or smaller price movements.
This indicator can be greatly used in combination with other Cycle Indicators to gain more confluence in the plotted time areas.
Cycle IndicatorThe Cycle Indicator is a tool developed to help traders analyze market cycles thanks to a simplified version of the Hurst theory.
This indicator has two functions:
- The first one is the plotting of a line that can be used to find the cycle direction and momentum
- The second feature is the next-cycle bottom forecaster, useful for estimating the timing of the future pivot low.
This last feature shows graphically the period in which the next low will probably happen, using as a calculation method the timing of the previous lows.
Additionally, the user can choose to extend this time zone or to limit them to the range between the last pivot high and low.
Previous Day High and Low + Separators Daily/WeeklyPrevious Day High and Low + Separators Daily/Weekly is an indicator based on separators of days and weeks and at the same time points out the previous highs and lows, everything is marked by lines, it consists of creating a clean graph and separated by the different trading days, referring to the extreme points created the previous day.
USEAGE
Point to each day of the week at the top of the chart to get a time location in your trading week and day sparation determined by 00:00 of any timezone.
The reference of the previous day's higs and LOWS is vitally important to understand which direction is most likely for the next day, either continuation or reversal.
DETAILS
As you can see you will be able to adapt these lines according to your chart design and with the desired intensity of appearance.
SETTINGS
UTC OFFSET: Determine your TIMEZONE in this section.
DAILY SEPARATOR: You have the option to change the color, style, width and text color.
WEEKLY SEPARATOR: You have the option to change the color, style, width and text color.
PREVIOUS HIGS & LOWS: You have the option to change the color, style, width and text color.
Stablecoin DominanceStablecoin Dominance Indicator
The Stablecoin Dominance Indicator is a powerful tool designed to analyze the relative dominance of stablecoins within the cryptocurrency market. It utilizes a combination of regression analysis and standard deviation to provide valuable insights into market sentiment and potential turning points. This indicator is particularly useful for traders and investors looking to make informed decisions in the dynamic world of cryptocurrencies.
How to Read the Indicator:
The Stablecoin Dominance Indicator comprises three key lines, each serving a specific purpose:
Middle Line (Regression Line):
The middle line represents the Regression Line of stablecoin dominance, acting as a baseline showing the average or mean dominance of stablecoins in the market.
When the stablecoin dominance hovers around this middle line, it suggests a relatively stable market sentiment with no extreme overbought or oversold conditions.
Upper Line (2 Standard Deviations Above Mean):
The upper line, positioned 2 standard deviations above the Regression Line, indicates a significant deviation from the mean.
When stablecoin dominance approaches or surpasses this upper line, it may imply that the cryptocurrency market is experiencing oversold conditions, potentially signaling a market bottom. This is an opportune time for traders to consider increasing their exposure to cryptocurrencies.
Lower Line (2 Standard Deviations Below Mean):
The lower line, positioned 2 standard deviations below the Regression Line, shows a significant deviation in the opposite direction, indicating overbought conditions.
When stablecoin dominance approaches or falls below this lower line, it suggests overbought conditions in the market, possibly indicating a market top. Traders may consider reducing their cryptocurrency holdings or taking profits during this phase.
It's important to note that the Stablecoin Dominance Indicator should be used in conjunction with other analysis tools and strategies.
By understanding and applying the insights provided by this indicator, traders and investors can make more informed decisions in the ever-changing cryptocurrency landscape, potentially enhancing their trading strategies and risk management practices.
(Log Regression code made by @rumpypumpydumpy)
Confluence Buy-Sell Indicator with Fibonacci The script is a "Confluence Indicator with Fibonacci" designed to work on the TradingView platform. This indicator combines multiple technical analysis strategies to generate buy and sell signals based on user-defined confluence criteria. Here's a breakdown of its features:
Confluence Criteria: Users can enable or disable various strategies like MACD, RSI, Bollinger Bands, Divergence, Fibonacci, and Moving Average. The number of strategies that need to align for a signal to be generated can be set by the user.
Strategies Included:
MACD Strategy: Uses the Moving Average Convergence Divergence method to identify buy/sell opportunities.
RSI Strategy: Utilizes the Relative Strength Index to detect overbought or oversold conditions.
Bollinger Bands Strategy: Incorporates Bollinger Bands to identify volatility and potential buy/sell signals.
Divergence Strategy: A basic implementation that detects bullish and bearish divergences using the RSI.
Fibonacci Strategy: Uses Fibonacci retracement levels to determine potential support and resistance levels.
Moving Average Strategy: Employs a crossover system between the 50-period and 200-period simple moving averages.
Additional Features:
Support & Resistance: Identifies major support and resistance levels from the last 50 bars.
Pivot Points: Calculates pivot points to determine potential turning points.
Stop Loss Levels: Automatically calculates and plots stop-loss levels for buy and sell signals.
NYC Midnight Level: Option to display the New York City midnight price level.
Visualization: Plots buy and sell signals on the chart with green and red markers respectively.
Adequate Category:
"Technical Analysis Indicators & Overlays" or "Strategy & Scripting Tools".
3x MTF MACD v3.0MACD's on 3 different Time Frames
Indicator Information
- Each Time Frame shows start of Trend and end of trend of the MACD vs the Signal Cross
- They are labled 1,2,3 with respective up or down triangle for possible direction.
User Inputs
- configure the indicator by specifying various inputs. These inputs include colors for bullish
and bearish conditions, the time frame to use, whether to show a Simple Moving Average
(SMA) line, and other parameters.
- Users can choose time frames for analysis (like 30 minutes, 1 hour, etc.)
but they must be in mintues.
- The code also allows users to customize how the indicator looks on the chart by providing
options for position and color.
Main Calculations
- The script calculates the Simple Moving Average (SMA) based on the user-defined time
frame.
- It then determines the color of the plot (line) based on certain conditions, such as whether
the SMA is rising or falling. These conditions help users quickly identify market trends.
Label Creation
- The code creates labels that can be displayed on the chart.
These labels indicate whether there's a bullish or bearish signal.
Level Detection
- The script determines and labels key levels or points of interest in the chart based on
certain conditions.
- It can show labels like "①" and "▲" for bullish conditions and "▼" for bearish conditions.
Table Display
- There's an option to show a table on the chart that displays information about the MACD
indicator Chosen and the NUmber Bubble assocated with that time frame
- The table can include information like which time frame is being analyzed, whether the SMA
line is shown, and other relevant data.
Plotting on the Chart
- The script plots the Simple Moving Average (SMA) on the chart. The color of this line
changes based on the calculated trend conditions.
ATR (Average True Range)
- The script also plots the Average True Range (ATR) on the chart. ATR is used to measure
market volatility.
"In essence, this script is a highly customizable MACD and SMA indicator for traders. It assists traders in comprehending market trends, offering insights into different MACD cycles concerning various timeframes.
Users can configure it to match their trading strategies, and it presents information in a user-friendly manner with colors, labels, and tables.
This simplifies market analysis, allowing traders to make more informed decisions without the distraction of multiple indicators."
itradesize /\ Previous HTF x OHLC Box
FYI: It is an invite-only script, if you are interested in, please scroll down to see the Author's instructions.
Introducing an indicator which inspired by ICT concepts that use a model, based on what TTrades teaches in some of his DOL videos about how to get a proper bias.
Having a daily bias can be frustrating and this script could make it easy for you besides creating a ton of opportunities for scalpers as well as not only helpful for a daily bias, it can also help you to determine the actual H4 or H1 bias or even lower.
Always keep in mind: the higher the timeframe you use, the more accurate it can be.
You can use OHLC to determine the current or higher time frame bias as it can be used on any of them and properly gain a sentiment of a drawn of liquidity.
This model integrates the previous candle's open, high, low, and close values (or open, low, high close) in addition to their equilibrium to make it easier to identify where the price should go moreover they can be used as reference points for potential trading opportunities.
The 50% also known as equilibrium creates premium and discount zones within the previous candles. Using the former higher timeframe candle’s OHLC you can simply have an external range of liquidity and where the current price should it drawn to.
With this tool, you can achieve a proper trading framework as you can easily recognize the external & internal range of liquidity, so whether you are a scalper or a day trader you are able to rely on the indicator.
A bit of a candlestick analysis:
When the price wicks below means a potential bullish reversal is incoming.
When the price wicks above, then it means a potential bearish reversal is happening.
Closing below means lower prices. (Bearish trend)
Closing above means higher prices. (Bullish trend)
This indicator is an absolute monster for the OHLC guys.
How to use it?
- Analyse the trend on the higher timeframe, bullish trend is when the price continuously takes the previous candle’s high over and over again. Bearish trend is the total opposite.
- Wait for external liquidity to be taken.
- When it's happening there should be a displacement back to the range with an actual structure shift.
- Looking for an imbalance in the displacement.
- Aiming for an imbalance that is above 50% of the former move.
- Aggressive stop: below or above the candle which has an imbalance
- Conservative stop: below or above the former swing
Classic sell setup:
Classic buy setup:
The indicator has a ton of customizable features, the power of the tool is really in there, as you can find or refine your own model with it. Once you're familiar with your setup you will be really feeling the power of the tool, I promise.
Indicator Features:
• M5/M15/H1/H4/D Time frames
• OHLC bar with an offset (you can have a look at the current HTF bar developing or you can use it as a locked previous bar)
• Current time frame OHLC / OLHC box with extended lines to the current time
• Showing the previous time frame OHLC / OLHC box with extended lines and the ability to add labels. The color of the OHLC or OLHC box is based on the candle closing. If it's a bear candle, if it's a bull candle.
• Previous high time frame open / close lines with labels, customisable colours, label sizes
• It has a lot of customisable features, the power of the tool is really in there as you can find or refine your own model with it.
• Every box and bar automatically switches its colors based on the close of the candle whether it's a bear or a bull candle.
• The color of the labels is switching automatically based on the coloring of your chart.
• You can customize each and every box color - OHLC/OLHC based on your taste, and the open and closing lines of the previous HTF.
Additional Information:
You can combine it with my own model. If you are not familiar with it, you can find here .
Or you can combine it with other frameworks for extra confluences like combining it with Daye’s QT in some simple equation:
Open → Q1 , High → Q2, Low → Q3, Close → Q4
Open → Q1, Low → Q2, High → Q3, Close → Q4
itradesize /\ Model x RTH Gap
I’m happy to announce my model and sharing it with you as an indicator.
About the model
The model is based on a range from 18:00 until 1:30. If you are keen you probably know that it's something that based on a bit of Daye's Theory. As Daily Q4 is from 18:00 until 0:00 and I've added a 90's Q1 to it as well that's why it ended up at 1:30.
It's an accumulation range and where we are looking for some opportunities above or below it when the algo is trying to fake the traders as the high and the low of the range are both important zones for liquidity pools. This model works on almost every pair but I've been mostly focusing on indices, especially on ES, NQ, and EUR/USD.
Do not trade before 1:30 AM and do not trade this model after 6:00 AM. So any tradable setup must be valid until 6:00 AM.
*All the mentioned times are based on America/NewYork timezone.
A simple sell setup
∆ If it takes the high of the model, then look for short opportunities.
∆ The best reliable scenario is when a high is taken while retracing back to an HTF PD Array so it will end up in a failure swing, Judas swing, you name it.
∆ When a high is taken you should wait for a market structure shift then it should give a nice displacement where it should retrace.
∆ The imbalance after the shift can be on every timeframe, based on your trade idea.
∆ If there are more imbalances, your decision on which to go with (as if there is a BPR, Breaker, OB, etc.. - can change the view of an FVG).
The same story goes for a buy setup.
∆ The first target is always the EQ of the model's range.
∆ The second target could be liquidity inside the EQ and the other side of the model (optional).
∆ The third target is the other side of the model.
∆ You can always leave a runner there if you eyeing some levels outside the model.
Additional information
∆ You can use silver bullet range as an extra confirmation when you looking for the actual displacement.
∆ An RTH range is also added to the indicator (starts drawing at 9:30 when the futures market opens) as it can be used to trade in the NY session and it is a must-have thing when trading indices.
∆ The colors of every label are switched automatically based on your chart's coloring.
Bitcoin Is Dead (BID/Weekly)Shows two consecutive weekly Bitcoin drops of X% both indicating capitulation which may be relevant to crypto markets, risk-on/risk-off and possibly tech markets.
Suggested usage: set the drop % and apply to weekly charts. Can be used on any chart, not just Bitcoin, but calculates indicator specifically for Bitcoin pricing.
Can be used for entertainment or technical analysis.
3 TIMEFRAMES BOXES3 boxes, with their recent high/low and their respective open/close, and the 50% line of the high/low. All adjustable for preferred timeframes, colour and thickness.
My personal preference is previous week 00:00 to 00:00, yesterday 00:00 to 00:00, and the day before 00:00 to 00:00 (NY timezone). Another could be the London, NY, and Asian sessions (which you have to manually place the timeframes for). As said, you can adjust it completely to your own liking. Enjoy!
Leading Economic Indicator (LEI)The Leading Economic Indicator (LEI) is a groundbreaking technical indicator designed to serve as a comprehensive measure of the prevailing direction of economic trends in the United States. This unique index combines two key economic indicators: the Composite Leading Indicator (CLI) from the Organization for Economic Co-operation and Development (OECD) and the Purchasing Managers' Index (PMI) from the Institute for Supply Management (ISM).
The OECD Composite Leading Indicator (CLI) is a globally recognized indicator that assesses the future direction of economic trends by analyzing various leading economic factors. The ISM PMI, on the other hand, provides insights into the business activities of both the manufacturing and services sectors. LEI merges these critical indicators into a single, holistic indicator that empowers traders and investors to grasp the broader economic outlook and the performance of essential economic sectors simultaneously.
By taking into account the CLI and PMI, LEI offers a distinctive perspective, enabling a more accurate assessment of the potential direction of US financial markets.
Usage:
To utilize LEI effectively, it is recommended to apply it on a monthly timeframe (TF Monthly). This extended timeframe is particularly beneficial for investors with a medium to long-term horizon. By focusing on longer-term trends and market stability, LEI becomes an invaluable tool in your investment strategy.
One of the primary applications of LEI is to gauge the risk of market corrections in US financial markets, including the S&P 500, Nasdaq, and Dow Jones indices. Analysts often observe the crossing of the 5-period Simple Moving Average (SMA) with the 10-period SMA. When the 5-period SMA falls below the 10-period SMA, it serves as a potential warning signal for an impending market correction. This feature provides traders with an opportunity to exercise caution and make well-informed investment decisions.
LEI, with its unique blend of the OECD CLI and ISM PMI, provides a reliable tool for assessing the US economic climate, identifying trends, and making informed decisions in the financial markets. It stands as a reference indicator, capturing the essence of economic trends and providing valuable insights to traders and investors.
Sources:
- OECD Composite Leading Indicator (CLI): www.data.oecd.org
- Purchasing Managers' Index: ISM Report on Business (PMI) www.ismworld.org
