HTF Oscillators RSI/ROC/MFI/CCI/AO - Dynamic SmoothingThe Interplay of Time Frames: A Balanced View
Navigating the markets often involves interpreting trends from multiple angles. The HTF Oscillators with Dynamic Smoothing indicator enables you to do just that. This tool provides the option to integrate smoothed oscillator readings from Higher Time Frames (HTF) into lower time frame charts, such as a 1-minute chart. By doing so, the indicator offers a balanced viewpoint that bridges the gap between micro and macro perspectives, helping you make informed decisions without losing sight of the broader market context.
Features
Multi-Oscillator Support
Choose from a range of popular oscillators like the Relative Strength Index (RSI), Rate of Change (ROC), Money Flow Index (MFI), Commodity Channel Index (CCI), and Awesome Oscillator (AO). These oscillators are commonly used as foundational building blocks in trading strategy scripts by traders worldwide. Switch effortlessly between them, depending on your trading strategy and requirements. To maintain consistency and a familiar user experience, our script adopts the same visual aesthetics that you'll find in Pine Script indicators on TradingView: a sleek purple line for the oscillator and a transparent band filling. These visual elements are not only pleasing to the eye but also widely appreciated by the trading community.
Dynamic Smoothing
The unique dynamic smoothing feature calculates a smoothing factor based on the ratio of minutes between the Higher Time Frame (HTF) and your current time frame. This provides a sleek and responsive oscillator line that still holds the weight of the longer trend. One of the significant advantages of this feature is user experience; when you change your time frame, the HTF-values in your settings will remain consistent. This ensures that you can easily switch between different time frames without losing the insights provided by your selected HTF.
Visual Aids
Visual cues are an essential part of any trading strategy. The indicator not only plots signals to mark overbought and oversold conditions based on the dynamically smoothed oscillator but also provides you with the flexibility to customize your visual experience. You have the option to toggle on/off the display of these signals depending on your specific needs. Additionally, bands can be displayed at overbought and oversold levels, along with a reference middle line. If you switch between different oscillators (available in the parameter settings), remember to manually adjust the bands in the input settings to ensure signals matches with the type of oscillator to your liking.
User-Friendly Settings
We've grouped related settings together, making it easier for you to find what you're looking for. Adjust the oscillator type, length of bars, smoothing settings, and more with just a few clicks.
Information Table
A standout feature of this indicator is the real-time information table, which displays the values of all selected oscillators based on your specified Higher Time Frame (HTF) settings. This can be particularly useful for traders who depend on multiple indicators for their decision-making process. The data presented in the table is synchronized with the HTF options you've configured in the input settings, allowing for a more efficient and quick scan of values from higher time frames.
Educational Corner: The Power of the Information Table and Customization
The table incorporated into this indicator isn't just eye-candy; it's a practical tool designed to elevate your trading strategy. It dynamically displays real-time values of various oscillators for the HTF you've chosen. This is an exemplary use of TradingView's scripting capabilities to blend multiple indicators into a single visual panel, streamlining your analysis and decision-making process.
But here's the best part: You're not limited to what we've created. With some basic understanding of TradingView's scripting language, Pine Script, you can easily adapt this table to include different indicators that suit your unique trading style. The logic in the script is modular and can serve as a foundation for your own customized trading dashboard. So, go ahead, get creative and explore new combinations of indicators that will help you excel in your trading endeavors!
You no longer have to toggle between different charts or indicators to get the information you need; it's all there in one neatly organized table. We encourage you to tap into this feature and make it your own, empowering your trading like never before.
By doing so, you not only gain a more comprehensive toolset, but you also engage more deeply with your trading strategy, understanding its nuances and, ultimately, making more informed decisions.
Conclusion
The HTF Oscillators with Dynamic Smoothing is a versatile and powerful tool that brings together the best of both worlds: the perspective of higher time frames and the granularity of shorter ones. Its feature-rich setting options and real-time information table make it a potential useful addition to your trading toolkit.
Remember, while this indicator offers a comprehensive and smarter way to look at the markets, it is not a foolproof method for predicting market movements. Always use it in conjunction with other analysis methods and risk management strategies.
Cari dalam skrip untuk "smart"
Daylight Saving Time [Open Source]Are you tired of manually tracking daylight saving time transitions on your trading charts? Say goodbye to confusion and hello to a smarter approach with our innovative indicator.
Designed to streamline your trading experience, this indicator automatically detects and highlights the exact moments when daylight saving time shifts occur, ensuring you stay on top of time changes without the hassle.
Key Features:
Customizable Display: Choose between two distinct display modes - "Flag" or "Emoticons" - to suit your visual preference and enhance your chart's clarity.
Global Compatibility: Tailor the indicator to your region by selecting your country for daylight saving time calculations. Choose from popular options like the European Union (EU) or the United States and Canada (US_CA).
Seamless Transitions: No more guessing when daylight saving time starts or ends. Our indicator will automatically mark the transition points, helping you to avoid costly trading mistakes due to incorrect time calculations.
Background Coloring: Elevate your chart's visibility by optionally coloring the background during the transition periods. With a simple toggle, you can make sure you never miss an important shift.
Experience a new level of trading precision and accuracy with the "Daylight Saving Time Indicator". Take control of your trading strategy by focusing on the market instead of time changes. Try it now and witness the difference it makes in your trading routine!
About Daylight Saving Time:
Daylight Saving Time (DST) is a practice observed by many countries to make better use of daylight during the longer days of summer. The EU and California (US_CA) have specific rules for DST transitions:
EU DST Rules:
DST begins on the last Sunday of March.
DST ends on the last Sunday of October.
US_CA DST Rules:
DST begins on the second Sunday of March.
DST ends on the first Sunday of November.
About the code
The code is briefly commented. Please feel free to use or further customize it ... And, of course, I would be happy to be named and/or linked. If you're satisfied, maybe buy me a coffee ;-)
I'm curious to see how this indicator will develop with more ideas - Please keep me updated by commenting below or by sending me a message.
TASC 2023.05 Cong Adaptive Moving Average█ OVERVIEW
TASC's May 2023 edition of Traders' Tips features an article titled "An Adaptive Moving Average For Swing Trading" by Scott Cong. The article presents a new adaptive moving average (AMA) that adjusts its parameters automatically based on market volatility. The AMA tracks price closely during trending movements and remains flat during congestion areas.
█ CONCEPTS
Conventional moving averages (MAs) use a fixed lookback period, which may lead to limited performance in constantly changing market conditions. Perry Kaufman's adaptive moving average , first described in his 1995 book Smarter Trading, is a great example of how an AMA can self-adjust to adapt to changing environments. Scott Cong draws inspiration from Kaufman's approach and proposes a new way to calculate the AMA smoothing factor.
█ CALCULATIONS
Following Perry Kaufman's approach, Scott Cong's AMA is calculated progressively as:
AMA = α * Close + (1 − α) * AMA(1),
where:
Close = Close of the current bar
AMA(1) = AMA value of the previous bar
α = Smoothing factor between 0 and 1, defined by the lookback period
The smoothing factor determines the performance of AMA. In Cong's approach, it is calculated as:
α = Result / Effort,
where:
Result = Highest price of the n period − Lowest price of the n period
Effort = Sum(TR, n ), where TR stands for Wilder’s true range values of individual bars of the n period
n = Lookback period
As the price range is always no greater than the total journey, α is ensured to be between 0 and 1.
Liquidity Candles with Prev Day High/Low and Midnight OpenAlright, let's talk about how to use this fancy indicator. But first, let me warn you, using indicators is like driving a car, you can't just press the gas pedal and hope for the best. You need to know what you're doing, or else you'll crash and burn faster than a soufflé in a microwave.
Now, let's get started. The first thing you need to do is understand what this indicator is telling you. Think of it like a signalman at a train station. He's waving flags and giving hand signals to tell you whether it's safe to proceed or if you need to stop and wait. This indicator works the same way.
It's going to give you signals based on price movements, telling you whether it's safe to buy or sell. But don't get too excited, my friend. You still need to use your brain and make smart decisions. Don't just blindly follow the signals, or else you'll end up like a sheep being led to the slaughter.
Now, let's talk about some of ICT's smart money trading concepts. First up, we have "liquidity grabs". This is when the big boys in the market create false breakouts to shake out the weak hands. They're like school bullies stealing lunch money from the little kids. But you can avoid being a victim by watching for signs of a liquidity grab, and using your brain to decide whether it's a real breakout or just a trap.
Next up, we have "stop runs". This is when the big players purposely trigger stop-loss orders to get a better entry or exit. It's like a game of chicken, but with your money on the line. To avoid being run over, keep an eye on your stop-loss orders, and don't be too predictable in your trading.
Finally, we have "market structure". This is like the blueprint of the market, showing you where the support and resistance levels are. It's like a treasure map to finding the best trades. But don't forget that market structure can change over time, so keep updating your map and stay ahead of the game.
So there you have it, my friend. A quick tutorial on using this indicator, with a side of ICT's smart money trading concepts. But remember, indicators are just tools, and you're the one driving the car. Use your brain, stay alert, and don't be a sheep. Happy trading!
Divergent Trades LLC:
Disclaimer: The information provided by the Divergent Trades LLC indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy, sell, or trade any financial instrument. Divergent Trades LLC is not responsible for any losses incurred as a result of using this indicator. Trading in the financial markets carries a high level of risk and may not be suitable for all investors. Before making any investment decisions, please consult with a financial advisor and do your own due diligence. Past performance is not indicative of future results. By using the Divergent Trades LLC indicator, you acknowledge that you have read and understand this disclaimer and agree to its terms and conditions.
Paradigm Trades_VPA Swing IndicatorThe indicator is designed to identify specific patterns in price and volume movements that can signal potential trading opportunities. It does this by calculating several conditions based on the current bar's price and volume movements.
The code defines five conditions: Narrow Spread Up Bar, Wide Spread Down Bar, No Demand Bar, No Selling Bar, and Churning. These conditions are then plotted on the chart using specific shapes and colors. The code also includes alert conditions for each of the signals, which can be used to generate alerts for traders when a particular pattern is identified.
The VPA Swing Indicator can be used as part of a swing trading strategy to identify potential buy or sell signals. For example, a Narrow Spread Up Bar may indicate bullish momentum, while a Wide Spread Down Bar may indicate bearish momentum. Traders can use these signals to make informed trading decisions and manage their risk accordingly.
Legend:
Spread Up Bar: This is a bullish bar with a small spread, indicating a lack of selling pressure and strong buying activity.
Wide Spread Down Bar: This is a bearish bar with a large spread, indicating strong selling pressure and weak buying activity.
No Demand Bar: This is a bearish bar with a small spread and low volume, indicating a lack of buying interest and the smart money selling off their positions.
No Selling Bar: This is a bullish bar with a small spread and low volume, indicating a lack of selling interest and the smart money buying up positions.
Churning: This is a sideways market with narrow spread bars and low volume, indicating the smart money is distributing shares to the retail traders.
Simple Dominance Momentum IndicatorThe Simple Dominance Momentum Indicator is a powerful tool for tracking market trends in the world of cryptocurrency. By analyzing the relationship between dominance and market movement, this indicator helps traders identify when money is flowing into or out of the market.
Using the pane structure on TradingView, the Dominance Momentum Indicator makes it easy to visualize and track data from CryptoCap charts. Whether you're a seasoned investor or starting out, this indicator can help you make more informed trading decisions.
All this indicator does is create the pane with a line chart using the Dominance charts to allow you to see the data with one button instead of doing it all manually. However with the addition to allow it to toggle between crypto and stables, so if you are using a /BTC pair, you don't have to add a new pane on, it automatically converts. If you are looking at USDT pairs for example, it will highlight that one for you.
While it can work under any conditions, the Dominance Momentum Indicator is particularly effective on higher timeframes, providing valuable insight into the overall plot of the market trend. With a 55EMA and a faster-moving average of 21EMA, this indicator is designed to help you stay ahead of the curve and make smarter trading decisions.
Remember the golden rule for stablecoin dominance. Down = good, and up = bad; however, you can just invert the indicator, so it flows with the market.
When it comes to the dominance of individual cryptocurrencies, for example, DOT.D, you might find that it going up = increasing dominance is STRENGTH. If the dominance of that is increasing it means it's growing.
Creator Credit: Jamie Goodland
Cong Adaptive Moving AverageDr. Scott Cong's new adaptation of an adaptive moving average (AMA), featured in TASC March 2023.
It adjusts its parameters automatically according to the volatility of market, tracking price closely in trending movement, staying flat in congestion areas.
Perry Kaufman’s adaptive moving average, first described in his 1995 book Smarter Trading, is a great example of how an AMA can self-adjust to adapt to changing environments. This indicator presents a new scheme for an adaptive moving average that is responsive, smooth, and robust.
Intrabar Efficiency Ratio█ OVERVIEW
This indicator displays a directional variant of Perry Kaufman's Efficiency Ratio, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis.
█ CONCEPTS
Efficiency Ratio (ER)
Efficiency Ratio was first introduced by Perry Kaufman in his 1995 book, titled "Smarter Trading". It is the ratio of absolute price change to the sum of absolute changes on each bar over a period. This tells us how strong the period's trend is relative to the underlying noise. Simply put, it's a measure of price movement efficiency. This ratio is the modulator utilized in Kaufman's Adaptive Moving Average (KAMA), which is essentially an Exponential Moving Average (EMA) that adapts its responsiveness to movement efficiency.
ER's output is bounded between 0 and 1. A value of 0 indicates that the starting price equals the ending price for the period, which suggests that price movement was maximally inefficient. A value of 1 indicates that price had travelled no more than the distance between the starting price and the ending price for the period, which suggests that price movement was maximally efficient. A value between 0 and 1 indicates that price had travelled a distance greater than the distance between the starting price and the ending price for the period. In other words, some degree of noise was present which resulted in reduced efficiency over the period.
As an example, let's say that the price of an asset had moved from $15 to $14 by the end of a period, but the sum of absolute changes for each bar of data was $4. ER would be calculated like so:
ER = abs(14 - 15)/4 = 0.25
This suggests that the trend was only 25% efficient over the period, as the total distanced travelled by price was four times what was required to achieve the change over the period.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 intrabars at the LTF of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script determines which LTF to use by examining the chart's timeframe. The LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed, but fewer chart bars can display indicator information because there is a limit to the total number of intrabars that can be analyzed.
Intrabar precision
The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Intrabar Efficiency Ratio (IER)
Intrabar Efficiency Ratio applies the concept of ER on an intrabar level. Rather than comparing the overall change to the sum of bar changes for the current chart's timeframe over a period, IER compares single bar changes for the current chart's timeframe to the sum of absolute intrabar changes, then applies smoothing to the result. This gives an indication of how efficient changes are on the current chart's timeframe for each bar of data relative to LTF bar changes on an average basis. Unlike the standard ER calculation, we've opted to preserve directional information by not taking the absolute value of overall change, thus allowing it to be utilized as a momentum oscillator. However, by taking the absolute value of this oscillator, it could potentially serve as a replacement for ER in the design of adaptive moving averages.
Since this indicator preserves directional information, IER can be regarded as similar to the Chande Momentum Oscillator (CMO) , which was presented in 1994 by Tushar Chande in "The New Technical Trader". Both CMO and ER essentially measure the same relationship between trend and noise. CMO simply differs in scale, and considers the direction of overall changes.
█ FEATURES
Display
Three different display types are included within the script:
• Line : Displays the middle length MA of the IER as a line .
Color for this display can be customized via the "Line" portion of the "Visuals" section in the script settings.
• Candles : Displays the non-smooth IER and two moving averages of different lengths as candles .
The `open` and `close` of the candle are the longest and shortest length MAs of the IER respectively.
The `high` and `low` of the candle are the max and min of the IER, longest length MA of the IER, and shortest length MA of the IER respectively.
Colors for this display can be customized via the "Candles" portion of the "Visuals" section in the script settings.
• Circles : Displays three MAs of the IER as circles .
The color of each plot depends on the percent rank of the respective MA over the previous 100 bars.
Different colors are triggered when ranks are below 10%, between 10% and 50%, between 50% and 90%, and above 90%.
Colors for this display can be customized via the "Circles" portion of the "Visuals" section in the script settings.
With either display type, an optional information box can be displayed. This box shows the LTF that the script is using, the average number of lower timeframe bars per chart bar, and the number of chart bars that contain LTF data.
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
Specifying MA type
Seven MA types are included in the script for different averaging effects:
• Simple
• Exponential
• Wilder (RMA)
• Weighted
• Volume-Weighted
• Arnaud Legoux with `offset` and `sigma` set to 0.85 and 6 respectively.
• Hull
Weighting
This script includes the option to weight IER values based on the percent rank of absolute price changes on the current chart's timeframe over a specified period, which can be enabled by checking the "Weigh using relative close changes" option in the script settings. This places reduced emphasis on IER values from smaller changes, which may help to reduce noise in the output.
█ FOR Pine Script™ CODERS
• This script imports the recently published lower_ltf library for calculating intrabar statistics and the optimal lower timeframe in relation to the current chart's timeframe.
• This script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post .
It works differently from the usual request.security() in that it can only be used on LTFs, and it returns an array containing one value per intrabar.
This makes it much easier for programmers to access intrabar information.
• This script implements a new recommended best practice for tables which works faster and reduces memory consumption.
Using this new method, tables are declared only once with var , as usual. Then, on the first bar only, we use table.cell() to populate the table.
Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.
This greatly reduces the resources required to render tables.
Look first. Then leap.
STD-Filtered, Adaptive Exponential Hull Moving Average [Loxx]STD-Filtered, Adaptive Exponential Hull Moving Average is a Kaufman Efficiency Ratio Adaptive Hull Moving Average that uses EMA instead of WMA for its computation. I've also added standard deviation stepping to further smooth the signal. Using EMA instead of WMA turns the Hull into what's called the AEHMA. You can read more about the EHMA here: eceweb1.rutgers.edu
What is the traditional Hull Moving Average?
The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag. The resulting average is more responsive and well-suited for identifying entry points.
What is Kaufman's Efficiency Ratio?
The Efficiency Ratio (ER) was first presented by Perry Kaufman in his 1995 book ‘Smarter Trading‘. It is calculated by dividing the price change over a period by the absolute sum of the price movements that occurred to achieve that change. The resulting ratio ranges between 0 and 1 with higher values representing a more efficient or trending market.
The value of the ER ranges between 0 and 1. It has the value of 1 when prices move in the same direction for the full time over which the indicator is calculated, e.g. n bars period. It has a value of 0 when prices are unchanged over the n periods. When prices move in wide swings within the interval, the sum of the denominator becomes very large compared to the numerator and ER approaches zero.
Some uses for ER:
A qualifier for a trend following trade; a trend is considered “persistent” only when RE is above a certain value, e.g. 0.3 or 0.4 .
A filter to screen out choppy stocks/markets, where breakouts are frequently “fakeouts”.
In an adaptive trading system, helping to determine whether to apply a trend following algorithm or a mean reversion algorithm.
It is used in the calculation of Kaufman’s Adaptive Moving Average (KAMA).
How to calculate the Hull Adaptive Moving Average (HAMA)
Find Signal to Noise ratio (SNR)
Normalize SNR from 0 to 1
Calculate adaptive alphas
Apply EMAs
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
Multiple Averages Moving - S&P 500This moving average script was created by "bren4013" & is only to be used on the Daily Chart for the S&P 500.
Back tested from when the 21.5% crash started (All Time High) in August 1956, to its end (Bottom Is In) in October 1957, & to the present day.
It's obvious where the signals are if you choose to take the time & look at it in detail.
(Disclaimer) Trade at your own risk. Do not do what i do, or say.
Trade safe. Trade smart. & remember;
"Price moves indicators".
"Indicators DO NOT move price".
"Price will always exist without indicators".
"Indicators CAN NOT exist without price".
ENJOY...
Adaptive Moving Average (AMA)Adaptive Moving Average (AMA) Technical Indicator is used for constructing a moving average with low sensitivity to price series noises and is characterized by the minimal lag for trend detection. This indicator was developed and described by Perry Kaufman in his book "Smarter Trading".
One of disadvantages of different smoothing algorithms for price series is that accidental price leaps can result in the appearance of false trend signals. On the other hand, smoothing leads to the unavoidable lag of a signal about trend stop or change. This indicator was developed for eliminating these two disadvantages.
Double EMA WIth Pullback Buy Sell Signal - Smarter AlgoBuilt with love "Double EMA With Pullback Buy Sell Signal "
This indiator will help you to find a Double EMA Pullback Signal
You can combine with your own strategy, or use this purely
DISCLAIMER :
Measure the risk first before use it in real market
Backtest The Strategy was very important, so you know the probability
Fundamentally Logical :
Pullback (Some Previous candle is Red for Bull Pullback vice versa)
the Entry candle must be a Candlestick Pattern
Features :
1. Double EMA
2. Pullback Signal
How to use it :
1. Adjust the Pullback Backstep
2. Adjust the EMA Period
3. Adjust the Style to your preferences
Regards,
Hanabil
PSv5 Color Magic and Chart Theme SimulatorKEEP YOUR COINS FOLKS! I DON'T NEED THEM, DON'T WANT THEM. Many other talented authors on TV deserve them.
INTRODUCTION:
This is my "PSv5 Color Magic and Chart Theme Simulator" displayed using Pine Script version 5.0. The purpose of this PSv5 colorcator is to show vivid colors that are most suitable in my opinion for modifying or developing Pine scripts. Whether you are new to Pine or an experienced Pine poet, this should aid you in developing indicators with stunning color from the provided color list that is easily copied and pasted into any novel script you should possess. Whichever colors you choose, and how, is up to your imagination's capacity.
COMMENTARY:
I have a thesis. Pine essentially is a gigantor calculator with a lot of programmable bells and whistles to perform intense analytics. Zillions of numbers per day are blended up into another cornucopia of numbers to analyze. The thing is, ALL of those numbers are moot unless we can informatively portray them in various colorized forms with unique methods to point out significant numeric events. By graphically displaying them with specific modes of operation, only then do these numbers truly make any sense to us and become quantitatively beneficial.
I have to admit... I hate numbers. I never really liked them, even before I knew what an ema() was. Some days I almost can't stand them, and on occasion I feel they deserve to be flushed down the toilet at times. However, I'm a stickler for a proper gauge of measurements. Numbers are a mental burden, but they do have "purpose and meaning". That's where COLOR comes in! By applying color in specific ways in varying dynamic forms, we can generate smarter visual aids from these numerics. Numbers can be "transformed" into something colorful it wasn't before, into a tool, like a hammer. But we don't need a hammer, we need an impressive jack hammer for BIG problem solving that we could never achieve in the not to distant past.
As time goes on, we analytically measure more, and more, and more each year. It's necessary to our continual evolution. That's one significant difference between us and cave men, and the pertinent reason why we are quickly evolving as a species, while animals haven't. Humankind is gifted to enumerate very well AND blessed to see in color. We use it for innumerable things in the technological present for purpose and pleasure. Day in and day out, we take color for granted, because it's every where we can look. The fact is, color is the most important apparatus in humankind's existence EVER. We wouldn't have survived this far without it.
By utilizing color to it's grand potential, greater advancements can be attained while simultaneously being enjoyed visually. Once color is transformed from it's numeric origins into applicable tools, we can enjoy the style, elegance, and QUALITATIVE nature of the indication that can be forged. Quantities can't reveal all. Color on the other hand has a handy "quality" factor to it, often revealing things we can't ordinarily recognize. When high quality tools provide us with obtained goals, that's when we will realize how magical color truly is, always has been, and shall always be.
The future emerging economies and future financial vessels of people around the globe are going to be dependent on the secured construction of intelligent applications with a rock solid color foundation, not just math alone. I have no doubt about that. I can envision that with my eyes closed. To make an informed choice, it should be charted or graphed somehow prior to a final executive decision to trade. Going back to abysmal black and white with double decimal points placed next to cartoons within extinction doomed newspapers is not a viable option any more.
OBSERVATIONS AND UTILITY:
One thing you will notice is the code is very dense. Looks almost hideous right? Well, the variable naming is lengthy, but it's purpose is to be self explanatory, even for those who don't know how to program, YET. I'm simply not a notation enthusiast. My main intention was to provide clearly identifiable variables from their origin of assignment to their intended destination of use, clearly visible for anyone visiting. The empowerment of well versed words that are easier to understand, is a close rival to the prominent influence color has.
Secondly, I'm displaying hline() and label.new() as prime candidates to exemplify by demonstration how the "Power of Color" can be embraced with the "Power of Pine". Color in Pine has been extensively upgraded to serve novel purposes to accomplish next generation indicators that do and WILL come to exist. New functions included with PSv5 are color.rgb(), color.from_gradient(), color.r(), color.g(), color.b(), and color.t() to accompany color.new() in our mutual TV adventures. Keep in mind, the extreme agility of color also extends to line.new(), the "entirely new" linefill.new(), table.new(), bgcolor() and every other function that may utilize color.
There's a wide range of adjustability in Settings to make selections to see how they perform on different backgrounds, with their size and form. As you curiously toy with those, you're going to notice how some jump out like laser beams while others don't. Things that aren't visually appealing, still have very viable purposes, even if they don't stand out in the crowd. Often, that's preferable. The important thing is that when pertinent information relative to indication is crucial, you can program it with distinction from an assortment of a potential 1.67 million colors that can be created in Pine. "These" are my chosen favorite few, and I hope you adopt them.
PURPOSES:
For those of you who are new to Pine Script, this also may help you understand color hex/rgb and how it is utilized in Pine in a most effective manner. The most skilled of programmers can garner perks as well. There is countless examples of code diversity present here that are applicable in other scripts with adequate mutation. Any member has the freedom use any of this code in this script any way they see fit. It's specifically intended for all. There is absolutely no need for accreditation for any of this code reuse ever, in the present case. Don't worry about, I'm not.
The color_tostring() will be most valuable in troubleshooting color when using color.rgb() and becoming adept with it. I'm not going to be able to use color.rgb() without it. Chameleon indicators of the polychromatic variety are most likely going to be fine tuned with color_tostring() divulging it's results to label.new() or even table.new() maybe. One the best virtues of this script in chart, is when you hover over the generated labels, there's a hidden gift for those who truly wish to learn the intricate mechanics of diverse color in Pine. Settings has informative tooltips too.
AFTERTHOUGHTS:
Colors are most vibrant on the "Black Chart" which is the default, but it doesn't currently exist as a chart theme. With the extreme luminous intensity of LCDs in millicandela( mcd ), you may notice "Light" charts may saturate the colors making charts challenging to analyze. Because of this, I personally use "Dark Charts" and design my indicators specifically for these. I hope this provides inspiration for the future developers who are contemplating the creation of next generation indicators and how color may enhance their usefulness.
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
CMT's ProGo indicator v.2This was inspired by William's ProGo, which is an oscillator with a fast line based on today's open minus close compared to a slow line derived from yesterday's open minus close. These are tied to the 14 day SMA in both cases. William's hypothesis is that smart money makes its decisions based on what's happening now and dumb money makes their decisions slower. My hypothesis is that smart money reacts faster and in a more straightforward manner based on current price action while dumb money takes even longer than WIlliam's factored due to overthinking things. To reflect this, I've tied the pro line to the 1 SMA and the amateur line to the 21 SMA then changed the formula for the amateur line to open divided by close. That's a really cute story and all, but let's throw out all of the smart money/dumb money stuff and strap our boots to reality.
How to use:
1.) What we're looking at in the end is an examination of the relationship between price action and the 21 SMA. Since we're exploring rate of change and momentum, divergences should be relevant, right? And divergences are relevant in this indicator. These divergences are pretty good and tend to work in harmony with the trend, though can signal reversal points.
2.) This is not a real time oscillator. It involves three levels of derivation. Sometimes it'll provide leading signals and sometimes it'll show lagging signals because we're comparing the present against the past through a filter.
3.) I've noticed that this oscillator can be used to generate angled trend lines in some cases before they become evident through price action. This is interesting. What you'll do is slap some trend lines onto the oscillator, copy those then paste them onto the price action chart, copy them a few times to create a channel and see what's what. Horizontal support and resistance on the oscillator seems to translate into future price action S/R as well. THAT's interesting.
4.) On lower time frames, this indicator will do a pretty good job of letting you know whether you're in a bearish or bullish trend.
5.) Because of how the oscillator is formulated, it only recognizes Bitcoin as either bullish or ranging on higher time frames and will only ever register bearish on lower time frames. I don't think this will ever change, but if it does register BTC as bearish on higher time frames, I'd be real worried about Bitcoin.
6.) You'll notice that over time, volatility in the oscillator increases. Neat, huh? Yeah, it'll increase as market cap does. Take care and have fun with that.
v2.0 Improvements:
Divergences have been added.
Long/Short Volatility AlgoA modification of my leveraged ETF algorithm. Giving out for free because it's a sloppy algorithm, and I personally use a much more refined algorithm developed by someone much smarter than me.
RexDog Average with ATRBam-- look what Rex did. A RexDog Average with ATR bands-- he's going insane. Simple but powerful.
This indicator includes the RexDog average but provides you with the ability to plot (and customize) both above and below ATR calculated bands.
With this indicator you can display all 3 or any combination of the bands: the RexDog Avg, Adding ATR Upper or the Subtracting ATR Below.
To remove a plot or customize color and line size go to the style options.
Before we get detailed with this version you can customize the default average factor of the RexDog Avg (default is 6). More tips on this below.
How This Works
Just as with the RexDog Average we take the 6 ATR data points (200, 100, 50, 24, 9, 5). We then create an average by dividing by 6. But wait there's more...
With this indicator you can customize independently the above and below bands via a float value for precision. 6 is the default (you can customize by increments at 0.25 or input value you like 1-20).
Now this works opposite how you might think but you'll get it once you start changing the numbers. For instance, editing the above band lowering the ATR factor will raise the band.
RexDog Avg Factor
With this release you are able to change the default average factor (6) to anything you want. You'll find though going too high or low from the default won't get the best results. The default increment change is 0.1 but you can enter any float value you like between 1-20.
The Original RexDog Average Overview
Yes, simple—the RexDog Average is a bias moving average indicator. The purpose is to provide the overall momentum bias you should have when trading an instrument. It works across all markets and all timeframes.
Usage:
Price above the RexDog AVG = long momentum bias
Price below the RexDog AVG = short momentum bias
With the ATR addition most likely your usage will be similar to Bollinger Bands. While not the same as in deviations much of the same principles might apply, especially with customization.
*Note: we have banned the word “trend” in the RexDog Trading Method.
Additional Usage Advice:
If price rips through the average your momentum bias should probably change. 80% of the time when price moves through the RexDog Average it will come back and test the area around average within 1-2 bars. 20% of the time it does not. The momentum is so strong in that direction so look for a 50-70% tests of the bar that impulse through the RexDog Average.
If you are using the RexDog Trading Method by default if the price is above the average and you are short you are in a fade trade. The momentum trade would be long. Of course reverse if price is below.
On multiple time frames. Of course, one timeframe can be long bias and a lower timeframe can be short bias. Which one do you use? Both—if your in a short trade using lower timeframe and with the bias of the average your in a momentum trade—but on the higher timeframe your aware you are essential fading the overall momentum.
Background:
Rex and I searched high and low for one simple thing. A moving average (or combination of some) that we could use to form our momentum bias that worked for all timeframes and all markets we trade.
We tried and tested them all. Even went down the path of ribbons and various other types of hybrid EMA /MA derivatives. Nothing had a high enough accuracy or mathematically was reliable that we could say with a high probability that it was on the right side of the momentum.
We almost stopped and landed on using the true and tested 200 MA—but we found through extensive tests that using the 200MA or EMA you’re often late to the party. Look you don’t need to be the first one in the trade but having a heads up sure helps.
To quote one of the best financial movies of the modern era—Margin Call:
“There are three ways to make a living in this business: be first, be smarter, or cheat… it sure is a hell of a lot easier to be first”. The RexDog Average used properly enables you to be first or damn near close.
Under the Hood:
This is so simple most reading this will discount it. You might even scoff and berate Rex for wasting your time. But you would be wrong. The RexDog Average has been tested across all markets—FOREX, Crypto, Equities, Futures (even tick charts), and even the Penguin population in Antarctica.
The RexDog Average is an average of 6 simple moving averages: 200, 100, 50, 24, 9, 5.
Yes, that’s it.
RexDog AverageYes, simple—the RexDog Average is a bias moving average indicator. The purpose is to provide the overall momentum bias you should have when trading an instrument. It works across all markets and all timeframes.
Usage:
Price above the RexDog AVG = long momentum bias
Price below the RexDog AVG = short momentum bias
*Note: we have banned the word “trend” in the RexDog Trading Method.
Additional Usage Advice:
If price rips through the average your momentum bias should probably change. 80% of the time when price moves through the RexDog Average it will come back and test the area around average within 1-2 bars. 20% of the time it does not. The momentum is so strong in that direction so look for a 50-70% tests of the bar that impulse through the RexDog Average.
If you are using the RexDog Trading Method by default if the price is above the average and you are short you are in a fade trade. The momentum trade would be long. Of course reverse if price is below.
On multiple time frames. Of course, one timeframe can be long bias and a lower timeframe can be short bias. Which one do you use? Both—if your in a short trade using lower timeframe and with the bias of the average your in a momentum trade—but on the higher timeframe your aware you are essential fading the overall momentum.
Background:
Rex and I searched high and low for one simple thing. A moving average (or combination of some) that we could use to form our momentum bias that worked for all timeframes and all markets we trade.
We tried and tested them all. Even went down the path of ribbons and various other types of hybrid EMA/MA derivatives. Nothing had a high enough accuracy or mathematically was reliable that we could say with a high probability that it was on the right side of the momentum.
We almost stopped and landed on using the true and tested 200 MA—but we found through extensive tests that using the 200MA or EMA you’re often late to the party. Look you don’t need to be the first one in the trade but having a heads up sure helps.
To quote one of the best financial movies of the modern era—Margin Call:
“There are three ways to make a living in this business: be first, be smarter, or cheat… it sure is a hell of a lot easier to be first”. The RexDog Average used properly enables you to be first or damn near close.
Under the Hood:
This is so simple most reading this will discount it. You might even scoff and berate Rex for wasting your time. But you would be wrong. The RexDog Average has been tested across all markets—FOREX, Crypto, Equities, Futures (even tick charts), and even the Penguin population in Antarctica.
The RexDog Average is an average of 6 simple moving averages: 200, 100, 50, 24, 9, 5.
Yes, that’s it.
The RexDog Average Plus will be released soon with additional parameters and most likely upper and lower bounds. In addition, we are working on a hybrid RexDog Exponential Average.
Simple Portfolio TrackerThis is just a simple portfolio tracker that i started to play around with - i'm sure there are smarter ways to do this, but i chose the simpler way :) -- please feel free to use this, or consider it as a starting point to your own indicator.
i will come back later and add some more stuff once i get time. for example, show the total value, recent change, P&L % ..etc
So the simple idea is to track a portfolio of few positions and watch how the total portfolio and the PnL changes over time as the price of the individual holdings move up and down. it can be added to any chart.
The code is currently set to track 5 positions - settings allow to enter if the positions is used or not, symbol, amount and cost price..
** note: more positions can be added by editing the code and copying and pasting the marked "position block" that contains the input statements and the calculations, then changing/replacing the position identifier (_1, _2, ..etc) in all variables with new number..
--- don't forget to add these extra positions you insert in the code to the formula lines that calculate the totals
i tried to make this as easy as possible in the code. the code includes a sample portfolio as default values just to help "demo" how this works
the input is made easy, thanks to the recent addition of the "inline" feature in the input() statement
i don't know if some traders will find this useful ?? or if more about how to use it is needed.. let me know in the comments.. as i mentioned, i was just playing with the idea over the weekend so didn't really put a lot of work into it.
Credits and thanks to @boji1 for inspiring this :)
VPA ANALYSIS VPA Analysis provide the indications for various conditions as per the Volume Spread Analysis concept. The various legends are provided below
LEGEND DETAILS
UT1 - Upthrust Bar: This will be widespread Bar on high Volume closing on the low. This normally happens after an up move. Here the smart money move the price to the High and then quickly brings to the Low trapping many retail trader who rushed into in order not to miss the bullish move. This is a bearish Signal
UT2 -Upthrust Bar Confirmation: A widespread Down Bar following a Upthrust Bar. This confirms the weakness of the Upthrust Bar. Expect the stock to move down
Confirms . This is a Bearish Signal
PUT - Pseudo Upthrust: An Upthrust Bar in bar action but the volume remains average. This still indicates weakness. Indicate Possible Bearishness
PUC -Pseudo Upthrust Confirmation: widespread Bar after a pseudo–Upthrust Bar confirms the weakness of the Pseudo Upthrust Bar
Confirms Bearishness
BC - Buying Climax: A very wide Spread bar on ultra-High Volume closing at the top. Such a Bar indicates the climatic move in an uptrend. This Bar traps many retailers as the uptrend ends and reverses quickly. Confirms Bearishness
TC - Trend Change: This Indicates a possible Trend Change in an uptrend. Indicates Weakness
SEC- Sell Condition: This bar indicates confluence of some bearish signals. Possible end of Uptrend and start of Downtrend soon. Bearish Signal
UT - Upthrust Condition: When multiple bearish signals occur, the legend is printed in two lines. The Legend “UT” indicates that an upthrust condition is present. Bearish Signal
ND - No demand in uptrend: This bar indicates that there is no demand. In an uptrend this indicates weakness. Bearish Signal
ND - No Demand: This bar indicates that there is no demand. This can occur in any part of the Trend. In all place other than in an uptrend this just indicates just weakness
ED - Effort to Move Down: Widespread Bar closing down on High volume or above average volume . The smart money is pushing the prices down. Bearish Signal
EDF - Effort to Move Down Failed: Widespread / above average spread Bar closing up on High volume or above average volume appearing after ‘Effort to move down” bar.
This indicates that the Effort to move the pries down has failed. Bullish signal
SV - Stopping Volume: A high volume medium to widespread Bar closing in the upper middle part in a down trend indicates that smart money is buying. This is an indication that the down trend is likely to end soon. Indicates strength
ST1 - Strength Returning 1: Strength seen returning after a down trend. High volume adds to strength. Indicates Strength
ST2 - Strength Returning 2: Strength seen returning after a down trend. High volume adds to strength.
BYC - Buy Condition: This bar indicates confluence of some bullish signals Possible end of downtrend and start of uptrend soon. Indicates Strength
EU - Effort to Move Up: Widespread Bar closing up on High volume or above average volume . The smart money is pushing the prices up. Bullish Signal
EUF - Effort to Move Up Failed: Widespread / above average spread Bar closing down on High volume or above average volume appearing after ‘Effort to move up” bar.
This indicates that the Effort to move the pries up has failed. Bearish Signal
LVT- Low Volume Test: A low volume bar dipping into previous supply area and closing in the upper part of the Bar. A successful test is a positive sign. Indicates Strength
ST(after a LVT ) - Strength after Successful Low Volume Test: An up Bar closing near High after a Test confirms strength. Bullish Signal
RUT - Reverse Upthrust Bar: This will be a widespread Bar on high Volume closing on the high is a Down Trend. Here the buyers have become active and move the prices from the low to High. The down Move is likely to end and up trend likely to start soon. indicates Strength
NS - No supply Bar: This bar indicates that there is no supply. This is a sign of strength especially in a down trend. Indicates strength
ST - Strength Returns: When multiple bullish signals occur, the legend is printed in two lines. The Legend “ST” indicates that an condition of strength other than the condition mentioned in the second line is present. Bullish Signals
BAR COLORS
Green- Bullish / Strength
Red - Bearish / weakness
Blue / White - Sentiment Changing from bullish to Bearish and Vice Versa
Pinescript v4 - The Holy Grail (Trailing Stop)After studying several other scripts, I believe I have found the Holy Grail! (Or perhaps I've just found a bug with Tradingview's Pinescript v4 language) Anyhow, I'm publishing this script in the hope that someone smarter than myself could shed some light on the fact that adding a trailing stop to any strategy seems to make it miraculously...no that's an understatement...incredulously, stupendously, mind-bendingly profitable. I'm talking about INSANE profit factors, higher than 200x, with drawdowns of <10%. Sounds too good to be true? Maybe it is...or you could hook it up to your LIVE broker, and pray it doesn't explode. This is an upgraded version of my original Pin Bar Strategy.
Recommended Chart Settings:
Asset Class: Forex
Time Frame: H1
Long Entry Conditions:
a) Exponential Moving Average Fan up trend
b) Presence of a Bullish Pin Bar
c) Pin Bar pierces the Exponential Moving Average Fan
Short Entry Conditions:
a) Exponential Moving Average down trend
b) Presence of a Bearish Pin Bar
c) Pin Bar pierces the Exponential Moving Average Fan
Exit Conditions:
a) Trailing stop is hit
b) Moving Averages cross-back (optional)
c) It's the weekend
Default Robot Settings:
Equity Risk (%): 3 //how much account balance to risk per trade
Stop Loss (x*ATR, Float): 0.5 //stoploss = x * ATR, you can change x
Stop Loss Trail Points (Pips): 1 //the magic sauce, not sure how this works
Stop Loss Trail Offset (Pips): 1 //the magic sauce, not sure how this works
Slow SMA (Period): 50 //slow moving average period
Medium EMA (Period): 18 //medium exponential moving average period
Fast EMA (Period): 6 //fast exponential moving average period
ATR (Period): 14 // average true range period
Cancel Entry After X Bars (Period): 3 //cancel the order after x bars not triggered, you can change x
Backtest Results (2019 to 2020, H1, Default Settings):
AUDUSD - 1604% profit, 239.6 profit factor, 4.9% drawdown (INSANE)
NZDUSD - 1688.7% profit, 100.3 profit factor, 2.5% drawdown
GBPUSD - 1168.8% profit, 98.7 profit factor, 0% drawdown
USDJPY - 900.7% profit, 93.7 profit factor, 4.9% drawdown
USDCAD - 819% profit, 31.7 profit factor, 8.1% drawdown
EURUSD - 685.6% profit, 26.8 profit factor, 5.9% drawdown
USDCHF - 1008% profit, 18.7 profit factor, 8.6% drawdown
GBPJPY - 1173.4% profit, 16.1 profit factor, 7.9% drawdown
EURAUD - 613.3% profit, 14.4 profit factor, 9.8% drawdown
AUDJPY - 1619% profit, 11.26 profit factor, 9.1% drawdown
EURJPY - 897.2% profit, 6 profit factor, 13.8% drawdown
EURGBP - 608.9% profit, 5.3 profit factor, 9.8% drawdown (NOT TOO SHABBY)
As you can clearly see above, this forex robot is projected by the Tradingview backtester to be INSANELY profitable for all common forex pairs. So what was the difference between this strategy and my previous strategies? Check my code and look for "trail_points" and "trail_offset"; you can even look them up in the PineScript v4 documentation. They specify a trailing stop as the exit condition, which automatically closes the trade if price reverses against you.
I however suspect that the backtester is not properly calculating intra-bar price movement, and is using a simplified model. With this simplfied approach, the trailing stop code becomes some sort of "holy grail" generator, making every trade entered profitable.
Risk Warning:
This is a forex trading strategy that involves high risk of equity loss, and backtest performance will not equal future results. You agree to use this script at your own risk.
Hint:
To get more realistic results, and *maybe* overcome the intrabar simulation error, change the settings to: "Stop Loss Trail Points (pips)": 100
I am not sure if this eradicates the bug, but the entries and exits look more proper, and the profit factors are more believable.
Trend M ver1this simple tool a helper for trader in order to put your target at the correct places:)
so script based on Trend M (open script in my page)
the script based on non security MTF that allow us to detect the M = mean average of resistance and support by MTF
best setting is either monthly or weekly
when you go on lower chart just put in the min the exact TF that you on. 60 min =60
2 hour 120
5 min =5
etc
when ever the trend is above the mean or M then it bullish =lime color. bellow the M is bearish =red color
the R1 and S level are % from the mean . so it can act for us either target or as stop loss
you can set the R1 or S1 as you like by % ratio . so 0.01 is 1%
0.1 is 10 % etc
all you need to find is the weekly or monthly range of the asset then put the % ratio that you wish up or down
you can use it with trend lines or other method .it just another tool to make you trade smarter
Resampling Reverse Engineering Bands [DW]This is an experimental study designed to reverse engineer price levels from centered oscillators at user defined sample rates.
This study aims to educate users on the process of oscillator reverse engineering, and to give users an alternative perspective on some of the most commonly used oscillators in the trading game.
Reverse engineering price levels from an oscillator is actually a rather simple, straightforward process.
Rather than plugging price values into a function to solve for oscillator values, we rearrange the function using some basic algebraic operations and plug in a specified oscillator value to solve for price values instead.
This process tells us what price value is needed in order for the oscillator to equal a certain value.
For example, if you wanted to know what price value would be considered “overbought” or “oversold” according to your oscillator, you can do that using this process.
In this study, the reverse engineering functions are used to calculate the price values of user defined high and low oscillator thresholds, and the price values for the oscillator center.
This allows you to visualize what prices will trigger thresholds as a sort of confidence interval, which is information that isn't inherently available when simply analyzing the oscillator directly.
This script is equipped with three reverse engineering functions to choose from for calculating the band values:
-> Reverse Relative Strength Index (RRSI)
-> Reverse Stochastic Oscillator (RStoch)
-> Reverse Commodity Channel Index (RCCI)
You can easily select the function you want to utilize from the "Band Calculation Type" dropdown tab.
These functions are specially designed to calculate at any sample rate (up to 1 bar per sample) utilizing the process of downsampling that I introduced in my Resampling Filter Pack.
The sample rate can be determined with any of these three methods:
-> BPS - Resamples based on the number of bars.
-> Interval - Resamples based on time in multiples of current charting timeframe.
-> PA - Resamples based on changes in price action by a specified size. The PA algorithm in this script is derived from my Range Filter algorithm.
The range for PA method can be sized in points, pips, ticks, % of price, ATR, average change, and absolute quantity.
Utilizing downsampled rates allows you to visualize the reverse engineered values of an oscillator calculated at larger sample scales.
This can be rather beneficial for trend analysis since lower sample rates completely remove certain levels of noise.
By default, the sample rate is set to 1 BPS, which is the same as bar-to-bar calculation. Feel free to experiment with the sample rate parameters and configure them how you like.
Custom bar colors are included as well. The color scheme is based on disparity between sources and the reverse engineered center level.
In addition, background highlights are included to indicate when price is outside the bands, thus indicating "overbought" and "oversold" conditions according to the thresholds you set.
I also included four external output variables for easy integration of signals with other scripts:
-> Trend Signals (Current Resolution Prices) - Outputs 1 for bullish and -1 for bearish based on disparity between current resolution source and the central level output.
-> Trend Signals (Resampled Prices) - Outputs 1 for bullish and -1 for bearish based on disparity between resampled source and the central level output.
-> Outside Band Signal (Current Resolution Prices) - Outputs 1 for overbought and -1 for oversold based on current resolution source being outside the bands. Returns 0 otherwise.
-> Outside Band Signal (Resampled Prices) - Outputs 1 for overbought and -1 for oversold based on resampled source being outside the bands. Returns 0 otherwise.
To use these signals with another script, simply select the corresponding external output you want to use from your script's source input dropdown tab.
Reverse engineering oscillators is a simple, yet powerful approach to incorporate into your momentum or trend analysis setup.
By incorporating projected price levels from oscillators into our analysis setups, we are able to gain valuable insights, make (potentially) smarter trading decisions, and visualize the oscillators we know and love in a totally different way.
I hope you all find this script useful and enjoyable!
Linear Regression AnalysisJust another linear regression tool to play with :)
I have to say that linear regression is one of my favorite indictor so i just try to play to show
how its we can make it smarter:)
the dashed lines are represent linear regression clone with high low and mid level shown.
the blue thin line show longer trend projection
the trend is option that can use for shorter trend
