Dow Theory Trend Direction VisualizerJapanese below / 日本語説明は下記
Overview
What is difficult for beginner traders is to identify trend occurrence, continuation and reversal.
This indicator visualizes market direction by changing background colors based on Dow Theory so that traders can visually grasp trends.
Sample chart
Functions
1.MTF Higher High/Lower High/Higher Low/Lower Low(HH/LH/HL/LL)
Indicator shows HH/LH/HL/LL of an upper timeframe(MTF) and those of chart’s timeframe at the same time.
As usual, HH/LH/HL/LL of chart’s timeframe can be used to identify trend continuation based on Dow Theory while MTF HH/LH/HL/LL can be used as support/resistance.
Auto and manual mode for MTF
When you select “Auto” mode, then an upper timeframe will be automatically determined as MTF based on chart’s timeframe. If “Manual “ mode selected, then you need to specify MTF timeframe.
MTF HH/LH/HL/LL are displayed only below the selected MTF timeframe so it will not disturb when you open higher timeframe.
For instance, if you select daily timeframe as MTF, then HH/LH/HL/LL of daily timeframe will be shown on 4 hour or below timeframes.
Auto and manual mode for MTF
When you select “Auto” mode, then an upper timeframe will be automatically determined as MTF based on chart’s timeframe. If “Manual “ mode selected, then you need to specify MTF timeframe.
MTF HH/LH/HL/LL are displayed only below the selected MTF timeframe so it will not disturb when you open higher timeframe.
For instance, if you select daily timeframe as MTF, then HH/LH/HL/LL of daily timeframe will be shown on 4 hour or below timeframes.
Sample chart (AUDJPY 4H + Daily timeframe HH/LH/HL/LL )
In this chart, you can see two different timeframe’s trend.
In 4hour timeframe, a new high recorded as HH and in daily timeframe, lows going up from LL to HL and high going up from LH to HH hence daily chart is uptrend.
Also, you can predict that Daily HH would be respected as resistance line.
2.Visualize trends direction with colors based on HH/LH/HL/LL.
Background color will change based on break up/down of HH/LH/HL/LL.
———————
トレードを習得する上で多くの人が苦手意識を持つ「目線付け」。
この目線付けをダウ理論を元に訓練するためのインジケーターを開発しました。
高値·安値の更新状況に応じて相場の方向性を色で可視化するため、視覚的に目線付けをすることが可能です。
サンプルチャート
ダウ理論による目線付けの二つの方法
これは僕の持論ですが、ダウ理論による目線付けの方法には、「トレンドは明確なシグナルが出るまで継続する」という原則を共通の拠り所とする二つの方法があると考えています。
一つは日本人投資家/トレーダーにも良く知られている押し安値·戻り高値を基準とする方法。そしてもう一つは高値·安値の切り上げ·切り下げのみを基準とする方法です。
このインジケーターは後者の方法で目線を可視化します。
(もちろん押し安値·戻り高値と併用した目線判断にも活用可能です。)
機能
1.上位足とチャートの時間軸両方のHigher High/Lower High/Higher Low/Lower Low(HH/LH/HL/LL)の表示(MTF機能)
上位足タイムフレームのHH/LH/HL/LLとチャートタイムフレームのHH/LH/HL/LLを同時に表示することができます。
チャートタイムフレームのHH/LH/HL/LLはダウ理論に基づくトレンドの継続・反転の判断用に、上位足のHH/LH/HL/LLは上位足での高値・安値の切り上げ/切り下げ判断及びレジスタンス・サポートとして使うことができます。
上位足の選択には自動モードとマニュアルモードが選択可能です。自動モードを選択した場合、チャートのタイムフレームに応じて上位足が自動的に決定されます。マニュアルモードの場合は選択した時間軸が上位足タイムフレームとして適用されます。
上位足のHH/LH/HL/LLは選択したタイムフレーム未満でのみ表示されます。例えば上位足のタイムフレームとして日足を選択した場合、日足のHH/LH/HL/LLは日足未満でのみ表示されます。
サンプルチャート (AUDJPY 4H に日足のHH/LH/HL/LL を表示)
このチャートでは二つの異なるタイムフレームの高値・安値更新状況を一度に把握することができます。
4Hでは高値の切り上げが発生しているため、安値を更新しなければ上昇トレンド確定です。一方日足では安値がLLからHLへ(赤の矢印)、高値がLHからHHへと切り上がり(緑の矢印)、上昇トレンドであることがわかります。
また、この場面では上位足のHHがレジスタンスとして機能する可能性も予測できます。
2.目線の方向を色で可視化
HH/LH/HL/LLの更新状況から目線を判断し、背景色とともに可視化します。
Higher High/Lower High/Higher Low/Lower Lowとは何か？
日本人投資家/トレーダーの中にはあまり馴染みのない方もいるかと思いますので、定義を記載します。
Higher High(HH)
切り上がった高値を意味します。当インジケーターでは一つ前の高値(HH/LH)から切り上がった場合にHHとしています。
Lower High(LH)
切り下がった高値を意味します。Lower Highなのでより低い方の高値という意味です。当インジケーターでは一つ前の高値(HH/LH)から切り下がった場合にLHとしています。
Higher Low(HL)
切り上がった安値を意味します。Higher Lowなのでより高い方の安値という意味です。当インジケーターでは一つ前の安値(HL/LL)から切り上がった場合にHLとしています。
Lower Low(LL)
切り下がった安値を意味します。当インジケーターでは一つ前の安値(HL/LL)から切り下がった場合にLLとしています。
使い方
高値·安値の切り上げ·切り下げの判断及びトレンド継続·転換の判断に活用
Cari dalam skrip untuk "mtf"
`security()` revisited [PineCoders]NOTE
The non-repainting technique in this publication that relies on bar states is now deprecated, as we have identified inconsistencies that undermine its credibility as a universal solution. The outputs that use the technique are still available for reference in this publication. However, we do not endorse its usage. See this publication for more information about the current best practices for requesting HTF data and why they work.
█ OVERVIEW
This script presents a new function to help coders use security() in both repainting and non-repainting modes. We revisit this often misunderstood and misused function, and explain its behavior in different contexts, in the hope of dispelling some of the coder lure surrounding it. The function is incredibly powerful, yet misused, it can become a dangerous WMD and an instrument of deception, for both coders and traders.
We will discuss:
• How to use our new `f_security()` function.
• The behavior of Pine code and security() on the three very different types of bars that make up any chart.
• Why what you see on a chart is a simulation, and should be taken with a grain of salt.
• Why we are presenting a new version of a function handling security() calls.
• Other topics of interest to coders using higher timeframe (HTF) data.
█ WARNING
We have tried to deliver a function that is simple to use and will, in non-repainting mode, produce reliable results for both experienced and novice coders. If you are a novice coder, stick to our recommendations to avoid getting into trouble, and DO NOT change our `f_security()` function when using it. Use `false` as the function's last argument and refrain from using your script at smaller timeframes than the chart's. To call our function to fetch a non-repainting value of close from the 1D timeframe, use:
f_security(_sym, _res, _src, _rep) => security(_sym, _res, _src )
previousDayClose = f_security(syminfo.tickerid, "D", close, false)
If that's all you're interested in, you are done.
If you choose to ignore our recommendation and use the function in repainting mode by changing the `false` in there for `true`, we sincerely hope you read the rest of our ramblings before you do so, to understand the consequences of your choice.
Let's now have a look at what security() is showing you. There is a lot to cover, so buckle up! But before we dig in, one last thing.
What is a chart?
A chart is a graphic representation of events that occur in markets. As any representation, it is not reality, but rather a model of reality. As Scott Page eloquently states in The Model Thinker : "All models are wrong; many are useful". Having in mind that both chart bars and plots on our charts are imperfect and incomplete renderings of what actually occurred in realtime markets puts us coders in a place from where we can better understand the nature of, and the causes underlying the inevitable compromises necessary to build the data series our code uses, and print chart bars.
Traders or coders complaining that charts do not reflect reality act like someone who would complain that the word "dog" is not a real dog. Let's recognize that we are dealing with models here, and try to understand them the best we can. Sure, models can be improved; TradingView is constantly improving the quality of the information displayed on charts, but charts nevertheless remain mere translations. Plots of data fetched through security() being modelized renderings of what occurs at higher timeframes, coders will build more useful and reliable tools for both themselves and traders if they endeavor to perfect their understanding of the abstractions they are working with. We hope this publication helps you in this pursuit.
█ FEATURES
This script's "Inputs" tab has four settings:
• Repaint : Determines whether the functions will use their repainting or non-repainting mode.
Note that the setting will not affect the behavior of the yellow plot, as it always repaints.
• Source : The source fetched by the security() calls.
• Timeframe : The timeframe used for the security() calls. If it is lower than the chart's timeframe, a warning appears.
• Show timeframe reminder : Displays a reminder of the timeframe after the last bar.
█ THE CHART
The chart shows two different pieces of information and we want to discuss other topics in this section, so we will be covering:
A — The type of chart bars we are looking at, indicated by the colored band at the top.
B — The plots resulting of calling security() with the close price in different ways.
C — Points of interest on the chart.
A — Chart bars
The colored band at the top shows the three types of bars that any chart on a live market will print. It is critical for coders to understand the important distinctions between each type of bar:
1 — Gray : Historical bars, which are bars that were already closed when the script was run on them.
2 — Red : Elapsed realtime bars, i.e., realtime bars that have run their course and closed.
The state of script calculations showing on those bars is that of the last time they were made, when the realtime bar closed.
3 — Green : The realtime bar. Only the rightmost bar on the chart can be the realtime bar at any given time, and only when the chart's market is active.
Refer to the Pine User Manual's Execution model page for a more detailed explanation of these types of bars.
B — Plots
The chart shows the result of letting our 5sec chart run for a few minutes with the following settings: "Repaint" = "On" (the default is "Off"), "Source" = `close` and "Timeframe" = 1min. The five lines plotted are the following. They have progressively thinner widths:
1 — Yellow : A normal, repainting security() call.
2 — Silver : Our recommended security() function.
3 — Fuchsia : Our recommended way of achieving the same result as our security() function, for cases when the source used is a function returning a tuple.
4 — White : The method we previously recommended in our MTF Selection Framework , which uses two distinct security() calls.
5 — Black : A lame attempt at fooling traders that MUST be avoided.
All lines except the first one in yellow will vary depending on the "Repaint" setting in the script's inputs. The first plot does not change because, contrary to all other plots, it contains no conditional code to adapt to repainting/no-repainting modes; it is a simple security() call showing its default behavior.
C — Points of interest on the chart
Historical bars do not show actual repainting behavior
To appreciate what a repainting security() call will plot in realtime, one must look at the realtime bar and at elapsed realtime bars, the bars where the top line is green or red on the chart at the top of this page. There you can see how the plots go up and down, following the close value of each successive chart bar making up a single bar of the higher timeframe. You would see the same behavior in "Replay" mode. In the realtime bar, the movement of repainting plots will vary with the source you are fetching: open will not move after a new timeframe opens, low and high will change when a new low or high are found, close will follow the last feed update. If you are fetching a value calculated by a function, it may also change on each update.
Now notice how different the plots are on historical bars. There, the plot shows the close of the previously completed timeframe for the whole duration of the current timeframe, until on its last bar the price updates to the current timeframe's close when it is confirmed (if the timeframe's last bar is missing, the plot will only update on the next timeframe's first bar). That last bar is the only one showing where the plot would end if that timeframe's bars had elapsed in realtime. If one doesn't understand this, one cannot properly visualize how his script will calculate in realtime when using repainting. Additionally, as published scripts typically show charts where the script has only run on historical bars, they are, in fact, misleading traders who will naturally assume the script will behave the same way on realtime bars.
Non-repainting plots are more accurate on historical bars
Now consider this chart, where we are using the same settings as on the chart used to publish this script, except that we have turned "Repainting" off this time:
The yellow line here is our reference, repainting line, so although repainting is turned off, it is still repainting, as expected. Because repainting is now off, however, plots on historical bars show the previous timeframe's close until the first bar of a new timeframe, at which point the plot updates. This correctly reflects the behavior of the script in the realtime bar, where because we are offsetting the series by one, we are always showing the previously calculated—and thus confirmed—higher timeframe value. This means that in realtime, we will only get the previous timeframe's values one bar after the timeframe's last bar has elapsed, at the open of the first bar of a new timeframe. Historical and elapsed realtime bars will not actually show this nuance because they reflect the state of calculations made on their close , but we can see the plot update on that bar nonetheless.
► This more accurate representation on historical bars of what will happen in the realtime bar is one of the two key reasons why using non-repainting data is preferable.
The other is that in realtime, your script will be using more reliable data and behave more consistently.
Misleading plots
Valiant attempts by coders to show non-repainting, higher timeframe data updating earlier than on our chart are futile. If updates occur one bar earlier because coders use the repainting version of the function, then so be it, but they must then also accept that their historical bars are not displaying information that is as accurate. Not informing script users of this is to mislead them. Coders should also be aware that if they choose to use repainting data in realtime, they are sacrificing reliability to speed and may be running a strategy that behaves very differently from the one they backtested, thus invalidating their tests.
When, however, coders make what are supposed to be non-repainting plots plot artificially early on historical bars, as in examples "c4" and "c5" of our script, they would want us to believe they have achieved the miracle of time travel. Our understanding of the current state of science dictates that for now, this is impossible. Using such techniques in scripts is plainly misleading, and public scripts using them will be moderated. We are coding trading tools here—not video games. Elementary ethics prescribe that we should not mislead traders, even if it means not being able to show sexy plots. As the great Feynman said: You should not fool the layman when you're talking as a scientist.
You can readily appreciate the fantasy plot of "c4", the thinnest line in black, by comparing its supposedly non-repainting behavior between historical bars and realtime bars. After updating—by miracle—as early as the wide yellow line that is repainting, it suddenly moves in a more realistic place when the script is running in realtime, in synch with our non-repainting lines. The "c5" version does not plot on the chart, but it displays in the Data Window. It is even worse than "c4" in that it also updates magically early on historical bars, but goes on to evaluate like the repainting yellow line in realtime, except one bar late.
Data Window
The Data Window shows the values of the chart's plots, then the values of both the inside and outside offsets used in our calculations, so you can see them change bar by bar. Notice their differences between historical and elapsed realtime bars, and the realtime bar itself. If you do not know about the Data Window, have a look at this essential tool for Pine coders in the Pine User Manual's page on Debugging . The conditional expressions used to calculate the offsets may seem tortuous but their objective is quite simple. When repainting is on, we use this form, so with no offset on all bars:
security(ticker, i_timeframe, i_source )
// which is equivalent to:
security(ticker, i_timeframe, i_source)
When repainting is off, we use two different and inverted offsets on historical bars and the realtime bar:
// Historical bars:
security(ticker, i_timeframe, i_source )
// Realtime bar (and thus, elapsed realtime bars):
security(ticker, i_timeframe, i_source )
The offsets in the first line show how we prevent repainting on historical bars without the need for the `lookahead` parameter. We use the value of the function call on the chart's previous bar. Since values between the repainting and non-repainting versions only differ on the timeframe's last bar, we can use the previous value so that the update only occurs on the timeframe's first bar, as it will in realtime when not repainting.
In the realtime bar, we use the second call, where the offsets are inverted. This is because if we used the first call in realtime, we would be fetching the value of the repainting function on the previous bar, so the close of the last bar. What we want, instead, is the data from the previous, higher timeframe bar , which has elapsed and is confirmed, and thus will not change throughout realtime bars, except on the first constituent chart bar belonging to a new higher timeframe.
After the offsets, the Data Window shows values for the `barstate.*` variables we use in our calculations.
█ NOTES
Why are we revisiting security() ?
For four reasons:
1 — We were seeing coders misuse our `f_secureSecurity()` function presented in How to avoid repainting when using security() .
Some novice coders were modifying the offset used with the history-referencing operator in the function, making it zero instead of one,
which to our horror, caused look-ahead bias when used with `lookahead = barmerge.lookahead_on`.
We wanted to present a safer function which avoids introducing the dreaded "lookahead" in the scripts of unsuspecting coders.
2 — The popularity of security() in screener-type scripts where coders need to use the full 40 calls allowed per script made us want to propose
a solid method of allowing coders to offer a repainting/no-repainting choice to their script users with only one security() call.
3 — We wanted to explain why some alternatives we see circulating are inadequate and produce misleading behavior.
4 — Our previous publication on security() focused on how to avoid repainting, yet many other considerations worthy of attention are not related to repainting.
Handling tuples
When sending function calls that return tuples with security() , our `f_security()` function will not work because Pine does not allow us to use the history-referencing operator with tuple return values. The solution is to integrate the inside offset to your function's arguments, use it to offset the results the function is returning, and then add the outside offset in a reassignment of the tuple variables, after security() returns its values to the script, as we do in our "c2" example.
Does it repaint?
We're pretty sure Wilder was not asked very often if RSI repainted. Why? Because it wasn't in fashion—and largely unnecessary—to ask that sort of question in the 80's. Many traders back then used daily charts only, and indicator values were calculated at the day's close, so everybody knew what they were getting. Additionally, indicator values were calculated by generally reputable outfits or traders themselves, so data was pretty reliable. Today, almost anybody can write a simple indicator, and the programming languages used to write them are complex enough for some coders lacking the caution, know-how or ethics of the best professional coders, to get in over their heads and produce code that does not work the way they think it does.
As we hope to have clearly demonstrated, traders do have legitimate cause to ask if MTF scripts repaint or not when authors do not specify it in their script's description.
► We recommend that authors always use our `f_security()` with `false` as the last argument to avoid repainting when fetching data dependent on OHLCV information. This is the only way to obtain reliable HTF data. If you want to offer users a choice, make non-repainting mode the default, so that if users choose repainting, it will be their responsibility. Non-repainting security() calls are also the only way for scripts to show historical behavior that matches the script's realtime behavior, so you are not misleading traders. Additionally, non-repainting HTF data is the only way that non-repainting alerts can be configured on MTF scripts, as users of MTF scripts cannot prevent their alerts from repainting by simply configuring them to trigger on the bar's close.
Data feeds
A chart at one timeframe is made up of multiple feeds that mesh seamlessly to form one chart. Historical bars can use one feed, and the realtime bar another, which brokers/exchanges can sometimes update retroactively so that elapsed realtime bars will reappear with very slight modifications when the browser's tab is refreshed. Intraday and daily chart prices also very often originate from different feeds supplied by brokers/exchanges. That is why security() calls at higher timeframes may be using a completely different feed than the chart, and explains why the daily high value, for example, can vary between timeframes. Volume information can also vary considerably between intraday and daily feeds in markets like stocks, because more volume information becomes available at the end of day. It is thus expected behavior—and not a bug—to see data variations between timeframes.
Another point to keep in mind concerning feeds it that when you are using a repainting security() plot in realtime, you will sometimes see discrepancies between its plot and the realtime bars. An artefact revealing these inconsistencies can be seen when security() plots sometimes skip a realtime chart bar during periods of high market activity. This occurs because of races between the chart and the security() feeds, which are being monitored by independent, concurrent processes. A blue arrow on the chart indicates such an occurrence. This is another cause of repainting, where realtime bar-building logic can produce different outcomes on one closing price. It is also another argument supporting our recommendation to use non-repainting data.
Alternatives
There is an alternative to using security() in some conditions. If all you need are OHLC prices of a higher timeframe, you can use a technique like the one Duyck demonstrates in his security free MTF example - JD script. It has the great advantage of displaying actual repainting values on historical bars, which mimic the code's behavior in the realtime bar—or at least on elapsed realtime bars, contrary to a repainting security() plot. It has the disadvantage of using the current chart's TF data feed prices, whereas higher timeframe data feeds may contain different and more reliable prices when they are compiled at the end of the day. In its current state, it also does not allow for a repainting/no-repainting choice.
When `lookahead` is useful
When retrieving non-price data, or in special cases, for experiments, it can be useful to use `lookahead`. One example is our Backtesting on Non-Standard Charts: Caution! script where we are fetching prices of standard chart bars from non-standard charts.
Warning users
Normal use of security() dictates that it only be used at timeframes equal to or higher than the chart's. To prevent users from inadvertently using your script in contexts where it will not produce expected behavior, it is good practice to warn them when their chart is on a higher timeframe than the one in the script's "Timeframe" field. Our `f_tfReminderAndErrorCheck()` function in this script does that. It can also print a reminder of the higher timeframe. It uses one security() call.
Intrabar timeframes
security() is not supported by TradingView when used with timeframes lower than the chart's. While it is still possible to use security() at intrabar timeframes, it then behaves differently. If no care is taken to send a function specifically written to handle the successive intrabars, security() will return the value of the last intrabar in the chart's timeframe, so the last 1H bar in the current 1D bar, if called at "60" from a "D" chart timeframe. If you are an advanced coder, see our FAQ entry on the techniques involved in processing intrabar timeframes. Using intrabar timeframes comes with important limitations, which you must understand and explain to traders if you choose to make scripts using the technique available to others. Special care should also be taken to thoroughly test this type of script. Novice coders should refrain from getting involved in this.
█ TERMINOLOGY
Timeframe
Timeframe , interval and resolution are all being used to name the concept of timeframe. We have, in the past, used "timeframe" and "resolution" more or less interchangeably. Recently, members from the Pine and PineCoders team have decided to settle on "timeframe", so from hereon we will be sticking to that term.
Multi-timeframe (MTF)
Some coders use "multi-timeframe" or "MTF" to name what are in fact "multi-period" calculations, as when they use MAs of progressively longer periods. We consider that a misleading use of "multi-timeframe", which should be reserved for code using calculations actually made from another timeframe's context and using security() , safe for scripts like Duyck's one mentioned earlier, or TradingView's Relative Volume at Time , which use a user-selected timeframe as an anchor to reset calculations. Calculations made at the chart's timeframe by varying the period of MAs or other rolling window calculations should be called "multi-period", and "MTF-anchored" could be used for scripts that reset calculations on timeframe boundaries.
Colophon
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
Snippets were lifted from our MTF Selection Framework , then massaged to create the `f_tfReminderAndErrorCheck()` function.
█ THANKS
Thanks to apozdnyakov for his help with the innards of security() .
Thanks to bmistiaen for proofreading our description.
Look first. Then leap.
GOD Complex Analysis Table By QTX Algo SystemsGOD Complex Analysis Table by QTX Algo Systems
Overview
The GOD Complex Analysis Table is a powerful visual companion for traders using the GOD Complex ecosystem. It displays detailed confluence scores for each trade type (Reversal Long, Reversal Short, Continuation Long, Continuation Short), offering a breakdown of required vs. extra signals, as well as multi-timeframe (MTF) scores and bias.
This tool is designed to help discretionary traders better understand how multiple conditions across timeframes align to support high-quality trade setups. It is not a standalone signal generator but rather an advanced diagnostic table that reveals the logic driving the GOD Complex entries.
How It Works
Each row in the table represents a trade type (e.g., Reversal Long), and includes:
Required Score – Based on must-have conditions for that trade type (e.g., oversold levels, statistical extremes, key momentum shifts).
Extra Score – Bonus confluence points from higher timeframe agreement, slope shifts, or secondary confirmation indicators.
Total Score – Combined Required + Extra score (max 200), useful for comparing relative strength across trade types.
Breakdown Columns – Show exactly which conditions are currently satisfied or missing, categorized as Required or Extra.
MTF Scores – Score-based analysis across 5m to 1M timeframes, highlighting how confluence changes with zoomed-out perspectives.
MTF Bias Row – Net bullish vs. bearish confluence per timeframe (positive = green, negative = red).
Indicators Used (All Proprietary QTX Tools)
VBM (Volatility-Based Momentum): Confirms directional trend and volatility environment.
VBSMI (Volatility-Based SMI): Adapts momentum oscillator based on market conditions and tilt logic.
SEA (Statistically Extreme Areas): Identifies when price reaches statistically rare volatility/range zones.
SPB (Statistical Price Bands): Tracks dynamically adjusted support/resistance based on percentile deviation.
COI (Continuation Opportunity Indicator): Detects pullback exhaustion and momentum re-acceleration opportunities.
Each trade type (Reversal or Continuation) is scored based on these tools across local and higher timeframes.
Key Table Features
🔍 Reversal Scoring Logic
Reversal trades must meet key oversold/overbought criteria (e.g., VBSMI extremes, SEA/SPB triggers) and be supported by trend weakness or exhaustion in the COI/VBM logic. High confluence across timeframes boosts the score.
📈 Continuation Scoring Logic
Continuations require strong trend alignment (VBM, COI), confirmation of momentum (VBSMI cross + slope), and lack of statistical extremes (no SEA/SPB hits). HTF agreement increases the score further.
🧠 Multi-Timeframe (MTF) Scoring
MTF scores are generated by evaluating each trade type’s core confluence across timeframes (e.g., 5m, 1H, 1D, etc.). This helps traders gauge how well a setup aligns with the broader market structure.
📊 Bias Coloring
The MTF Bias row shows net directional strength. Green = bullish bias. Red = bearish bias. Gray = neutral.
🔎 Factors Breakdown
View factors for each trade type. These factors explain which required and extra conditions are currently contributing or missing.
Customization Options
Table position (top/bottom, left/right)
Table size (small, medium, large)
Show/hide trade type rows
Enable/disable breakdown details
Toggle MTF Score section
Use Cases
Analyze high-confluence setups for discretionary trade planning
Cross-check live trades to understand setup quality
Confirm MTF alignment before entries
Study historical patterns to build intuition and strategy
Disclaimer
This indicator is for educational purposes only. It does not provide financial advice or trade recommendations. Always backtest and validate strategies before use.
Malama's Dashboard with HeikinMalama's Dashboard with Heikin is a comprehensive trading indicator designed to provide traders with a consolidated view of market sentiment across multiple technical indicators. It combines Ichimoku Cloud, RSI, ADX, Choppiness Index, volume analysis, momentum, divergence detection, and multi-timeframe (MTF) MACD and volume trends to generate a composite sentiment score. The indicator displays these metrics in a visually intuitive table, enabling traders to quickly assess market conditions and make informed decisions. Optionally, it supports Heikin Ashi candles to smooth price data and reduce noise, aiding in trend identification. The script solves the problem of information overload by presenting key indicators in a single, trader-friendly dashboard, reducing the need for multiple charts or indicators.
Originality and Usefulness
This script is a unique mashup of several well-known technical indicators, integrated into a cohesive dashboard with a composite sentiment score. Unlike standalone indicators like RSI or Ichimoku, this script synthesizes signals from Ichimoku Cloud, RSI, ADX, Choppiness, volume, momentum, divergence, and MTF analysis into a unified sentiment metric. The inclusion of Heikin Ashi candles as an optional input adds flexibility for traders preferring smoothed price action. The composite score, derived from weighted contributions of each indicator, provides a novel way to gauge overall market direction, which is not commonly found in public open-source scripts. While individual components like RSI or Ichimoku are widely available, the script’s originality lies in its integrated approach, clear table visualization, and customizable settings, making it a practical tool for traders seeking a holistic market view.
Detailed Methodology ("How It Works")
The script processes multiple technical indicators and aggregates their signals into a composite sentiment score, displayed in a table. Below is a breakdown of its core components and logic:
Heikin Ashi Candles:
Logic: Optionally applies Heikin Ashi calculations to smooth price data. Heikin Ashi candles are computed using formulas for open, high, low, and close prices, reducing market noise and emphasizing trends.
Usage: When enabled, all subsequent calculations (Ichimoku, RSI, ADX, etc.) use Heikin Ashi prices instead of regular OHLC data, potentially improving trend clarity.
Ichimoku Cloud:
Logic: Calculates the Conversion Line (9-period high/low average), Base Line (26-period high/low average), Leading Span A (average of Conversion and Base Lines), and Leading Span B (52-period high/low average).
Signals: Bullish if the close price is above both Leading Spans; bearish if below; neutral otherwise.
Average Directional Index (ADX):
Logic: Computes ADX using a 14-period (default) directional movement index, measuring trend strength. PlusDI and MinusDI are calculated from price movements, and ADX is derived from their difference.
Signals: Bullish if PlusDI > MinusDI; bearish otherwise. ADX value indicates trend strength but is not used directly in sentiment scoring.
Relative Strength Index (RSI):
Logic: Calculates RSI over a 21-period (default) using the closing price. Overbought (>75) and oversold (<25) levels are user-defined.
Signals: Bullish if RSI > 50; bearish if RSI < 50. Overbought/oversold conditions are displayed but not used in the composite score.
Momentum:
Logic: Measures the difference between the current close and the close 10 periods ago (default).
Signals: Bullish if momentum > 0; bearish if < 0; neutral if 0.
Choppiness Index:
Logic: Calculates choppiness over a 14-period (default) using ATR and price range, normalized to a 0–100 scale. Values >61.8 indicate a sideways market; <38.2 indicate a trending market.
Signals: Bullish if choppiness < 38.2; bearish otherwise.
Volume Analysis:
Logic: Compares current volume to a 21-period (default) simple moving average (SMA). Bullish or bearish pressure is determined by whether the close is above or below the open.
Signals: Bullish if volume > 1.2x SMA and bullish pressure dominates; bearish if bearish pressure dominates; neutral otherwise.
Divergence Detection:
Logic: Identifies RSI divergences over a 5-period lookback. A bullish divergence occurs when price makes a lower low, but RSI makes a higher low; bearish divergence is the opposite.
Signals: Bullish or bearish based on divergence detection; neutral if no divergence.
Multi-Timeframe (MTF) Analysis:
Logic: Retrieves daily MACD (12, 26, 9) and volume SMA (21-period) from a higher timeframe. MACD is bullish if the MACD line > signal line; volume is bullish if current volume > daily SMA.
Signals: Bullish or bearish based on MACD and volume trends.
Composite Sentiment Score:
Logic: Aggregates signals from Ichimoku (±2), RSI (±1), ADX (±1), momentum (±1), choppiness (±1), divergence (±1), MTF MACD (±1), and MTF volume (±1). The score ranges from -8 to +8.
Signals: Bullish if score > 0; bearish if < 0; neutral if 0.
Alert Condition:
Triggers an alert when the composite sentiment flips (e.g., from bullish to bearish).
Strategy Results and Risk Management
This script is an indicator, not a strategy, and does not include backtesting or automated trade signals. However, the composite sentiment score can guide trading decisions. Assumptions for practical use include:
Commission and Slippage: Traders should account for realistic trading costs (e.g., 0.1% per trade) when acting on signals, though the script does not model these.
Risk Limits: Traders are advised to risk 5–10% of equity per trade, depending on their strategy and the strength of the composite score (e.g., higher scores may justify larger positions).
Trade Frequency: The script’s signals are based on multiple indicators, ensuring sufficient trade opportunities across trending and ranging markets.
Customization: Traders can adjust risk by modifying input parameters (e.g., RSI overbought/oversold levels or lookback periods) to align with their risk tolerance. For example, tightening RSI thresholds may reduce signal frequency but increase precision.
User Settings and Customization
The script offers several user-configurable inputs, allowing traders to tailor its behavior:
Use Heikin Ashi Candles (Boolean, default: false): Enables/disables Heikin Ashi smoothing for all calculations, affecting trend clarity.
ADX Length (Integer, default: 14, min: 1): Sets the period for ADX calculations, influencing trend strength sensitivity.
RSI Length (Integer, default: 21, min: 1): Adjusts RSI calculation period, impacting overbought/oversold detection.
RSI Overbought Level (Integer, default: 75, min: 1): Sets the RSI overbought threshold.
RSI Oversold Level (Integer, default: 25, min: 1): Sets the RSI oversold threshold.
Volatility Length (Integer, default: 21, min: 1): Controls the ATR period for volatility (used in Choppiness).
Volume MA Length (Integer, default: 21, min: 1): Sets the SMA period for volume analysis.
Momentum Length (Integer, default: 10, min: 1): Defines the lookback for momentum calculations.
Choppiness Length (Integer, default: 14, min: 1): Sets the period for Choppiness Index calculations.
These settings allow traders to adjust the indicator’s sensitivity to market conditions. For example, shorter RSI or ADX periods increase responsiveness but may generate more noise, while longer periods smooth signals but may lag.
Visualizations and Chart Setup
The script plots a table in the top-right corner of the chart, summarizing the following:
Header: Displays “MALAMA’S DASHBOARD” in white text on a black background.
Indicator Rows: Each row corresponds to an indicator (Ichimoku, RSI, ADX, Choppiness, Volume, Momentum, Divergence, MTF MACD, MTF Volume, Composite).
Columns:
Indicator: Lists the indicator name.
Value: Shows the calculated value (e.g., RSI value, composite score) and sentiment (e.g., Bullish, Bearish, Neutral).
Color Coding: Bullish signals are green, bearish signals are red, and neutral signals are gray, all with 85% transparency for readability.
Composite Sentiment: The final row displays the composite score and sentiment, providing a quick summary of market direction.
No trend lines, signal markers, or additional overlays are plotted, ensuring the chart remains uncluttered and focused on the dashboard’s insights.
Multi Timeframe Relative Strength Index {DCAquant}Overview
The Multi Timeframe Relative Strength Index (MTF RSI) is a powerful technical analysis tool designed to provide insights into market momentum and potential trend reversals across multiple timeframes. Leveraging the Relative Strength Index (RSI) formula, this indicator offers traders a comprehensive view of market sentiment and identifies overbought and oversold conditions.
Key Features
RSI Calculation:
Utilizes the standard RSI calculation formula to measure the magnitude of recent price changes and assess the strength of market trends.
Employs a user-defined length parameter to customize the sensitivity of the RSI calculation based on trading preferences.
Multiple Timeframe Analysis:
Allows traders to analyze RSI values across up to six different timeframes, ranging from minutes to days, providing a holistic perspective on market dynamics.
Calculates RSI values independently for each selected timeframe, enabling comparison and trend identification.
Threshold Levels:
Defines overbought and oversold levels to highlight potential reversal points in market trends.
Offers flexibility in adjusting threshold levels based on individual risk tolerance and trading strategies.
Neutral Zone:
Establishes upper and lower neutral thresholds to identify periods of consolidation or sideways movement in price.
Helps traders distinguish between trending and ranging market conditions for more accurate analysis.
Moving Average Smoothing:
Provides the option to apply moving average smoothing to aggregated RSI values for enhanced clarity and reduced noise.
Enables smoother visualization of RSI trends, facilitating easier interpretation for traders.
Visual Representation:
Plots the aggregated MTF RSI values on the price chart, allowing traders to visually assess market momentum and potential reversal points.
Utilizes color-coded backgrounds to indicate Long, Short, or Neutral conditions for quick identification.
Dynamic Table Display:
Displays trading signals alongside graphical indicators (rocket for Long, snowflake for Short, and star for Neutral) in a customizable table format.
Offers flexibility in table placement and size to accommodate user preferences.
How to Use:
Parameter Configuration:
Adjust the length parameter to fine-tune the sensitivity of the RSI calculation based on the desired timeframe and trading strategy.
Define overbought and oversold levels to identify potential reversal points in market trends.
Customize upper and lower neutral thresholds to differentiate between trending and ranging market conditions.
Interpretation:
Monitor the aggregated MTF RSI values plotted on the price chart for signals of overbought or oversold conditions.
Pay attention to color-coded backgrounds and graphical indicators in the table for actionable trading insights.
Trading Strategy:
Consider entering Long positions when the aggregated MTF RSI is above the upper neutral threshold, indicating potential bullish momentum.
Evaluate Short opportunities when the aggregated MTF RSI falls below the lower neutral threshold, signaling possible bearish momentum.
Exercise caution during Neutral conditions, as there may be uncertainty in market direction.
Risk Management:
Combine MTF RSI analysis with robust risk management strategies, including stop-loss and take-profit levels, to manage trading risks effectively.
Practice prudent risk management and trade within your risk tolerance to minimize potential losses.
Disclaimer
Trading in financial markets involves risk, and past performance is not indicative of future results. The use of the MTF RSI indicator does not guarantee profits or prevent losses. Traders should conduct their own analysis, exercise caution, and seek advice from qualified financial professionals before making trading decisions.
Fair Value Gap█ OVERVIEW
This indicator displays the Fair Value Gap of the current timeframe and an additional higher timeframe. For each FVG the gaps act as targets creating bullish and bearish gaps that are often filled.
█ FEATURES
MTF Options
MidPoint FIll
Delete Old On Fill
Label FVG Timeframe
MTF Options
Enabling the MTF Options will allow the user to use the "MTF Timeframe" setting to choose what HTF Fair Value Gap to display
MidPoint FIll
A line plot at the Half way point will be included in the Fair Value Gap, this will be used to delete the gap when reached instead of a full fill.
Delete Old On Fill
Deletes historical Fair Value Gaps when filled.
Label FVG Timeframe
Labels Every Fair Value gap with there relevant timeframe to make it easier to determine which gap is being filled.
█ HOW TO USE IT
The indicator is quite straight forward in its application, providing users with targets that are often filled as they are seen as market imbalance.
Just applying it to your chart will provide the existing Fair Value Gaps. MTF Confluence is helpful in seeing what is happening on the macro perspective.
█ SUGGESTION
My suggestion for clarity is to use a different color to some degree between the MTF and Current TF as Opposed to text, keeps the chart clear.
█ LIMITATIONS OF PINE (Please read)
I see many users going on different indicators with MTF in mind and trying to use it for LTF data e.g. 1hour chart, and selecting 5min in chart settings.
This is not recommended by the team themselves and should be noted for use always use HTF: www.tradingview.com
To understand how to use fair value gaps I recommend learning about the subject some more, searching online will provide you resources. The internet is your friend when learning. All the best.
Multi SMA EMA WMA HMA BB (5+5 MAs + Bollinger Bands) by RRB
Multi SMA EMA WMA HMA BB (5+5 Moving Averages of Any Type with Bollinger Bands) by RagingRocketBull 2018
Version 1.0
This indicator shows multiple MAs of any type (SMA EMA WMA HMA etc) with BB on a chart at the same time with/without MTF support depending on the version.
There are several versions (published later): Simple, MTF, Pro MTF and Ultimate MTF. This is the Simple version. The Differences are listed below. All versions have BB
- Simple: you have 2 groups of MAs that can be assigned any type (5+5)
- MTF: +assign 1 custom Timeframe to any group combo (5+5 Custom TF)
- Pro MTF: +multiple Timeframes for multiple MA groups (4*3 MTF), horizontal levels and show max bars back options
- Ultimate MTF: +individual settings for each MA, multiple Timeframes
You can use different types of MAs as dynamic S/R levels to trade of off and MA crosses as signals for possible trend change (golden/death bull/bear crosses).
Most common MA types are: SMA, EMA, WMA, HMA.
Most common MA lengths are: 12, 20, 26, 30, 50, 100, 200, 400 etc.
Features:
- 2 groups of custom 5+5 MAs of any type including Hull Moving Average (HMA)
- BB
1. based on 3EmaBB, uses plot, fill, stdev and custom hma functions
2. swma has a fixed length = 4, alma and linreg have additional offset and smoothing params
Feel free to use. Good Luck!
[Mad]Triple Bollinger Bands ForecastTriple Bollinger Bands Forecast (BBx3+F)
This open-source indicator is an advanced version of the classic Bollinger Bands, designed to provide a more comprehensive and forward-looking view of market volatility and potential price levels.
It plots three distinct sets of Bollinger Bands and projects them into the future based on statistical calculations.
How It Is Built and Key Features
Triple Bollinger Bands: Instead of a single set of bands, this indicator plots three. All three share the same central basis line (a Simple Moving Average), but each has a different standard deviation multiplier. This creates three distinct volatility zones for analyzing price deviation from its mean.
Multi-Timeframe (MTF) Capability: The indicator can calculate and display Bollinger Bands from a higher timeframe (e.g., showing daily bands on a 4-hour chart). This allows for contextualizing price action within the volatility structure of a more significant trend.
(Lower HTF selection will result in script-crash!)
Future Forecasting: This is the indicator's main feature. It projects the calculated Bollinger Bands up to 8 bars into the future. This forecast is a recalculation of the Simple Moving Average and Standard Deviation based on a projected future source price.
Selectable Forecast Methods: The mathematical model for estimating the future source price can be selected:
Flat: A model that uses the most recent closing price as the price for all future bars in the calculation window.
Linreg (Linear Regression): A model that calculates a linear regression trend on the last few bars and projects it forward to estimate the future source price.
Efficient Drawing with Polylines: The future projections are drawn on the chart using Pine Script's polyline object. This is an efficient method that draws the forecast data only on the last bar, which avoids repainting issues.
Differences from a Classical Bollinger Bands Indicator
Band Count: A classical indicator shows one set of bands. This indicator plots three sets for a multi-layered view of volatility.
Perspective: Classical Bollinger Bands are purely historical. This indicator is both historical and forward-looking .
Forecasting: The classic version has no forecasting capability. This indicator projects the bands into the future .
Timeframe: The classic version works only on the current timeframe. This indicator has full Multi-Timeframe (MTF) support .
The Mathematics Behind the Future Predictions
The core challenge in forecasting Bollinger Bands is that a future band value depends on future prices, which are unknown. This indicator solves this by simulating a future price series. Here is the step-by-step logic:
Forecast the Source Price for the Next Bar
First, the indicator estimates what the price will be on the next bar.
Flat Method: The forecasted price is the current bar's closing price.
Price_forecast = close
Linreg Method: A linear regression is calculated on the last few bars and extrapolated one step forward.
Price_forecast = ta.linreg(close, linreglen, 1)
Calculate the Future SMA (Basis)
To calculate the Simple Moving Average for the next bar, a new data window is simulated. This window includes the new forecasted price and drops the oldest historical price. For a 1-bar forecast, the calculation is:
SMA_future = (Price_forecast + close + close + ... + close ) / length
Calculate the Future Standard Deviation
Similarly, the standard deviation for the next bar is calculated over this same simulated window of prices, using the new SMA_future as its mean.
// 1. Calculate the sum of squared differences from the new mean
d_f = Price_forecast - SMA_future
d_0 = close - SMA_future
// ... and so on for the rest of the window's prices
SumOfSquares = (d_f)^2 + (d_0)^2 + ... + (d_length-2)^2
// 2. Calculate future variance and then the standard deviation
Var_future = SumOfSquares / length
StDev_future = sqrt(Var_future)
Extending the Forecast (2 to 8 Bars)
For forecasts further into the future (e.g., 2 bars), the script uses the same single Price_forecast for all future steps in the calculation. For a 2-bar forecast, the simulated window effectively contains the forecasted price twice, while dropping the two oldest historical prices. This provides a statistically-grounded projection of where the Bollinger Bands are likely to form.
Usage as a Forecast Extension
This indicator's functionality is designed to be modular. It can be used in conjunction with as example Mad Triple Bollinger Bands MTF script to separate the rendering of historical data from the forward-looking forecast.
Configuration for Combined Use:
Add both the Mad Triple Bollinger Bands MTF and this Triple Bollinger Bands Forecast indicator to your chart.
Open the Settings for this indicator (BBx3+F).
In the 'General Settings' tab, disable the Activate Plotting option.
To ensure data consistency, the Bollinger Length, Multipliers, and Higher Timeframe settings should be identical across both indicators.
This configuration prevents the rendering of duplicate historical bands. The Mad Triple Bollinger Bands MTF script will be responsible for visualizing the historical and current bands, while this script will overlay only the forward-projected polyline data.
Institutional Order Finder (IOF) - Hidden Order Block LiteInstitutional Order Finder (IOF) - Hidden Order Blocks
Institutional Order Finder (IOF) Indicator: Detecting Breaker Blocks and Hidden Order Blocks (HOBs)
The Institutional Order Finder (IOF) Lite is designed to assist traders in identifying breaker blocks, also known as hidden order blocks (HOBs). The indicator helps identify untouched bodies within order blocks and offers comprehensive analysis of fair value gaps (FVGs) and order blocks based on engulfing candles. The method for detecting engulfing patterns is customizable (available in the Pro version).
Features of the Institutional Order Finder (IOF) Lite Indicator
The indicator detects breaker blocks and distinguishes between complete HOBs and partial HOBs (PHOBs). An HOB is created when the body of a candle, to the left of an engulfing candle, ideally fits through the fair value gaps without being touched by wicks. The indicator differentiates between:
HOB (Hidden Order Block): The body completely fits through the FVGs and is untouched by wicks, making it a strong and reliable breaker block.
PHOB (Partial Hidden Order Block): The body does not fully fit, but at least the equilibrium (50% level of the body left of the engulfing candle) is covered by the FVGs.
The minimum requirement for a “good” HOB is for the equilibrium to be crossed by the FVGs. This method provides a focused and high-quality view of the market structure.
Visualization and Market Structure Analysis
The Institutional Order Finder (IOF) displays order blocks as lines, with the equilibrium being a critical analysis point. Once the equilibrium is reached, the order block is considered invalid. In addition to HOBs and PHOBs, the indicator also displays fair value gaps, as well as invalidated order blocks (OBs) and breaker blocks (BBs). Understanding these invalidations is essential for interpreting market behavior and potential turning points. The line representation offers a cleaner view, making it easier to combine multiple timeframes and spot clusters.
Multi-Timeframe Analysis (MTF)
The Lite version allows analysis of up to three different timeframes, helping traders observe the relevance and strength of order blocks across different time periods. For each selected timeframe, not only confirmed order blocks are shown, but also “potential order blocks (OBs) and breaker blocks (BBs).” These blocks are currently forming and are not yet confirmed. Potential OBs and BBs can provide crucial insights into the current market structure, especially for traders who seek early signals.
Lite Version and Limitations
The Lite version of the Institutional Order Finder (IOF) indicator has certain limitations. It can display only up to three timeframes, offers fewer customization options, and focuses on basic analysis tools. Nonetheless, the Lite version is a powerful tool for gaining initial insights into the functionality of the MT Breaker Block indicator and improving understanding of market structure.
Why Use the Institutional Order Finder (IOF) Indicator?
The Lite indicator offers a precise way to analyze and visualize order blocks and breaker blocks. By focusing on identifying untouched bodies and the equilibrium, the indicator provides a unique perspective on market structure, often missing from traditional order block indicators. With its ability to conduct multi-timeframe analysis and identify potential order blocks in real time, the IOF Lite indicator offers a detailed understanding of potential price movements.
Special thanks to Moneytaur for inspiring the creation of this indicator.
Settings Overview
GENERAL SETTINGS
Historical order blocks: Enables the display of historical order blocks on the chart.
Order blocks: Activates the detection and display of order blocks (OB).
Show high quality breaker blocks: Displays only high-quality breaker blocks (BB) that meet strict criteria. The lines for high-quality BBs are twice as thick as regular lines.
ENGULFING
Please choose Engulfing engine: Choose the type of engulfing pattern used to detect order blocks (e.g., “Engulfing Strict” for stricter criteria).
MTF SETTINGS
Default timeframe: Sets the default timeframe for order block analysis when the multi-timeframe (MTF) mode is turned off.
Show MTF order blocks: Enables the display of order blocks from multiple timeframes.
Timeframe 1, Timeframe 2, Timeframe 3: Specify the individual timeframes for MTF analysis.
Activate Timeframe 1, Activate Timeframe 2, Activate Timeframe 3: Control which MTF timeframes are actively used in the analysis.
ORDER BLOCK SETTINGS
Order Block Filter Strategy: Choose a filtering strategy to display only the most relevant OBs.
Extend order blocks to the right: Extends order blocks to the right until they are invalidated.
Show timeframe as label: Displays the timeframe of the order block as a label on the chart.
Bearish OB, Bullish OB, Breaker Block, Old Order Blocks, Old BB-Blocks (and possible): Choose colors for different types of order blocks and breaker blocks for easier visual distinction.
Label text color: Sets the color of the text within labels.
Label background color: Defines the background color of the labels.
Line width: Specifies the thickness of the lines that represent order blocks.
Please choose style of lines / current timeframe, Please choose style of lines / alternative timeframe: Choose the style of lines (e.g., solid or dotted) for the current and alternative timeframes.
Timeframe label offset in bars from actual bar: Determines the offset of labels relative to the candles, improving visibility.
FAIR VALUE GAPS
Show Fair Value Gaps: Activates the detection and display of fair value gaps (FVG), highlighting potential liquidity gaps.
FILTER SETTINGS
Number of Previous Candles (Candle Pattern Strength): Specifies the number of previous candles to analyze to determine the strength of the candle pattern.
Candle Size Multiplier (Candle Pattern Strength): Sets a multiplier for the candle size within the pattern to emphasize stronger patterns.
RSI Period (RSI): Defines the period for the RSI indicator, used to analyze overbought/oversold conditions.
Overbought Level (RSI), Oversold Level (RSI): Sets the RSI threshold values to identify potential trend reversal points.
Minimum Volume (Volume): Specifies the minimum volume that must be reached to validate order blocks and breaker blocks.
This guide provides a comprehensive breakdown of the Institutional Order Finder (IOF) Lite Indicator settings, allowing you to customize and maximize the indicator’s functionality for optimal trading insights.
Price Action Toolkit | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Price Action Toolkit indicator! Price Action Toolkit integrates key level strategy , traditional supply-demand analysis , and market structures to help traders in their decisions. Now with features that are available to use in multiple timeframes!
Features of the new Price Action Toolkit indicator :
Volumized Fair Value Gaps (FVGs)
Volumized Order & Breaker Blocks
Identification of Market Structures
Equal Highs & Lows
Buyside & Sellside Liquidity
Premium & Discount Zones
MTF Highs & Lows (Daily, Weekly, Monthly, Pre-Market)
Customizable Settings
📌 HOW DOES IT WORK ?
We believe that the analytical elements that are within this indicator work best when they co-exist with each other on the chart. Trading often requires taking multiple elements into consideration for better accuracy on market analysis. Thus, we combined some of the useful strategies in one indicator for ease of use.
1. Volumized Fair Value Gaps
Fair value gaps often occur when there is an imbalance in the market, and can be spotted with a specific formation on the chart.
The volume when the FVG occurs plays an important role when determining the strength of it, so we've placed two bars on the FVG zone, indicating the high & low volumes of the FVG. The high volume is the total volume of the last two bars on a bullish FVG, while the low volume is - of the FVG. For a bearish FVG, the total volume of the last two bars is the low volume. The indicator can also detect FVGs that exist in other timeframes than the current chart.
2. Volumized Order Blocks
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart.
The high & low volume of order blocks should be taken into consideration while determining their strengths. The determination of the high & low volume of order blocks are similar to FVGs, in a bullish order block, the high volume is the last 2 bars' total volume, while the low volume is the oldest bar's volume. In a bearish order block scenerio, the low volume becomes the last 2 bars' total volume.
3. Volumized Breaker Blocks
Breaker blocks form when an order block fails, or "breaks". It is often associated with market going in the opposite direction of the broken order block, and they can be spotted by following order blocks and finding the point they get broken, ie. price goes below a bullish order block.
The volume of a breaker block is simply the total volume of the bar that the original order block is broken. Often the higher the breaking bar's volume, the stronger the breaker block is.
4. Market Structures
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
5. Equal Highs & Lows
Equal Highs & Lows occur when there is a significant amount of difference between a candle's close price and it's high / low value, and it happens again in a specific range. EQH and EQL usually mean there is a resistance that blocks the price from going further up / down.
6. Buyside & Sellside Liquidity
Buyside & Sellside Liquidity zones are where most traders place their take-profits and stop-losses in their long / short positions. They are spotted by using high & low pivot points on the chart.
7. Premium & Discount Zones
The premium zone is a zone that is over the fair value of the asset's price, and the discount zone is the opposite. They are formed by the latest high & low pivot points.
8. MTF Highs / Lows
MTF Highs / Lows are actually pretty self-explanatory, you can enable / disable Daily, Weekly, Monthly & Pre-Market Highs and Lows.
🚩UNIQUENESS
Our new indicator offers a comprehensive toolkit for traders, combining multiple analytical elements with customizable settings to aid in decision-making across different market conditions and timeframes. The volumetric information of both FVGs and Order & Breaker Blocks will be present in your chart to serve you greater detail about them. The indicator also efficiently identifies market structures, liquidity zones and premium & discount zones to give you an insight about the current state of the market. And finally with the use of multiple timeframes , you can easily take a look at the bigger picture. We recommend reading the "How Does It Work" section of the descripton to get a better understanding about how this indicator is unique to others.
⚙️SETTINGS
1. General Configuration
Show Historic Zones -> This will show historic Fair Value Gaps, Order & Breaker Blocks and Sellside & Buyside liquidities which are expired.
2. Fair Value Gaps
Enabled -> Enables / Disables Fair Value Gaps
Volumetric Info -> The volumetric information of the FVG Zones will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Order Blocks
Enabled -> Enables / Disables Order Blocks
Volumetric Info -> The volumetric information of the Order Blocks will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for Order Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
4. Breaker Blocks
Enabled -> Enables / Disables Breaker Blocks
Volumetric Info -> The volumetric information of the Breaker Blocks will be rendered if activated.
Zone Invalidation -> Select between Wick & Close price for Breaker Block Invalidation.
5. Timeframes
You can set and enable / disable up to 3 timeframes. Note that only higher timeframes than the current chart will work.
6. Market Structures
Break Of Structure ( BOS ) -> If the current structure of the market is broken in a bullish or bearish direction, it will be displayed.
Change Of Character ( CHoCH ) -> If the market shifts into another direction, it will be displayed.
Change Of Character+ ( CHoCH+ ) -> This will display stronger Change Of Characters if enabled.
7. Equal Highs & Lows
EQH -> Enables / Disables Equal Highs.
EQL -> Enables / Disables Equal Lows.
ATR Multiplier (0.1 - 1.0) -> Determines the maximum difference between highs / lows to be considered as equal. Lower values will result in more accurate results.
8. Buyside & Sellside Liquidity
Zone Width -> Determines the width of the liquidity zones, 1 = 0.025%, 2 = 0.05%, 3 = 0.1%.
9. Premium & Discount Zones
Enabled -> Enables / Disables Premium & Discount Zones.
10. MTF Highs / Lows
You can enable / disable Daily, Weekly, Monthly & Pre-Market Highs and Lows using this setting. You can also switch their line shapes between solid, dashed and dotted.
[ADOL_]Trend_Oscillators_MTF
ENG) Trend_Oscillator_MTF
introduction)
This is a trend analyzer implemented in the form of an oscillator.
An oscillator is a technical analysis tool that identifies the direction of market trends and determines the time period. Making it an oscillator means creating range. By setting the upper and lower limits like this, the unlimited expansion area that can appear on the chart is limited. As a limited area is created, we can identify oversold and overbought areas, which is good for checking momentum.
Through oscillatorization, you can find overbought, oversold, and current trend areas.
It adopts MTF and is a simple but functional indicator.
To use multiple time frames, use the timeframe.multiplier function.
A table was created using the table.new function, and various information windows were installed on the right side of the chart.
I hope this can be a destination for many travelers looking for good landmarks.
- 8 types of moving averages can be selected (in addition to independently developed moving averages), trend area display, signal display, up to 3 multi-time chart overlapping functions, information table display, volatility and whipsaw search, and alerts are possible.
- You can set various time zones in Timeframe. With three timeframes, you can check the conditions overlapping time at a glance.
principle)
Set up two moving averages with different speeds and make the relative difference.
Create the speed difference between the two moving averages using methods such as over = crossover(fast, slow) and under = crossunder(fast, slow).
The point at which the difference in relative speed decreases is where the possibility of inflection is high. Through the cross code, you can find out when the speed difference becomes 0.
Simply crossing the moving average is easy. To fine-tune the speed difference, it is necessary to re-establish the relationship between functions.
Painting the green and red areas is designed to be painted when the three time frames overlap.
Using the code of fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor")
You can color and distinguish areas.
MA: You can select the MA_type. This is a necessary option because the profit/loss ratio for each item varies depending on the type of moving average.
Start: The starting value to set the oscillator range.
End: This is the last value to set the oscillator range.
Lenght: This is the number of candles used to calculate the calculation formula in the oscillator.
Timeframe: Set the time to overlap with up to 3 time frames.
repaint: You can choose whether to apply repaint. The default is OFF.
The coding for repaint settings for the indicator was written using the recommended method recommended by TradingView.
reference :
security(syminfo.tickerid, tf, src)
Trading method)
With the Multi-Time-Frame (MTF) function, the time zone set in the indicator is displayed the same in any chart time zone.
The repaint problem that occurred when using MTF was resolved by referring to TradingView's recommended code.
User can decide whether to repaint or not. The default is OFF.
- signal
Buy and Sell signals are displayed when there are 3 stacks. Even if there is no triple overlap, you can decide to buy or sell at the point where the short-term line and long-term line intersect.
Entry is determined through Buy and Sell signals, and exit is determined through BL (BuyLoss) and SL (SellLoss).
BL and SL can also be applied as entry.
You can judge overlap by the color of the lines. When two conditions overlap, it is orange, and when one condition overlaps, it is blue.
- Divergence
Divergence is a signal that arises from a discrepancy between the oscillator and the actual price.
Divergence can be identified because the range is set with conditions that have upper and lower limits.
- trend line
As shown in the picture, draw a downward trend line connecting the high points in the same area.
As shown in the picture, an upward trend line is drawn connecting the low points in the same area.
It can be used to view trend line breakout points that candles cannot display.
- Find a property for sale by amplitude
When the low point in the red area and the high point in the green area occur, the difference is regarded as one amplitude and the range is set.
Here, one amplitude becomes a pattern value that can go up or down, and this pattern value acts as support/resistance. It was developed in a unique way that is different from traditional methods and has a high standard of accuracy. This works best when using that indicator. Use 1, 2, 3, or 4 multiples of the amplitude range.
A multiple of 2 is a position with a high probability of a retracement.
- Whipsaw & volatility search section
Whipsaw refers to a trick that causes frequent trading in a convergence zone or confuses the trend in the opposite direction before it occurs. Whip saws are usually seen as having technical limitations that are difficult to overcome.
To overcome this problem, the indicator was created to define a section where whipsaw and volatility can appear. If a whipsaw & volatility indicator section occurs, a big move may occur later.
Alert)
Buy, Sell, BuyLoss, SellLoss, Whipsaw alert
Disclaimer)
Scripts are for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You are solely responsible for evaluating the risks associated with your script output and use of the script.
KOR) 트렌드_오실레이터_MTF
소개)
이것은 오실레이터 형태로 구현된 트렌드 분석기 입니다.
오실레이터는 시장의 추세방향을 확인하고 기간을 결정하는 기술적 분석 도구입니다. 오실레이터로 만드는 것은 범위가 생기는 것을 의미합니다. 이렇게 상한과 하한을 정함으로써, 차트에서 나타날 수 있는 무제한적인 확장영역이 제한됩니다. 제한된 영역이 만들어짐에 따라 우리는 과매도와 과매수 구간을 식별할 수 있게 되며, 모멘텀을 확인하기 좋습니다.
오실레이터화를 통해, 과매수와 과매도, 현재의 트렌드 영역을 잘 찾을 수 있습니다.
MTF를 채택했으며, 단순하지만, 기능적으로 훌륭한 지표입니다.
멀티타임프레임을 사용하기 위해 timeframe.multiplier 함수를 사용합니다.
table.new 함수를 사용하여 table을 만들고, 차트 우측에 여러가지 정보창을 갖췄습니다.
좋은 지표를 찾는 많은 여행자들에게 이곳이 종착지가 될 수 있기를 바랍니다.
- 이평선 종류 8종 선택(독자적으로 개발한 이평선 추가), 추세영역표시, 시그널 표기, 최대 3개 멀티타임차트 중첩기능, 정보테이블 표시, 변동성과 휩쏘찾기, 얼러트가 가능합니다.
- Timeframe에서 다양한 시간대를 설정할 수 있습니다. 3개의 Timeframe을 통해 시간을 중첩한 조건을 한눈에 확인할 수 있습니다.
원리)
속도가 다른 두 개의 이평선을 설정하고 상대적인 차이를 만듭니다.
over = crossover(fast, slow) , under = crossunder(fast, slow) 와 같은 방법으로 두개의 이평선의 속도차이를 만듭니다.
상대적 속도의 차이가 줄어드는 시점은 변곡의 가능성이 높은 자리입니다. cross code를 통해 속도차가 0이 되는 시점을 알 수 있습니다.
단순히 이평선을 교차하는 것은 쉽습니다. 세밀하게 속도차이를 조정하는데 함수간의 관계를 다시 설정할 필요가 있습니다.
초록색과 빨간색의 영역을 칠하는 것은 3가지 타임프레임이 중첩될 때 칠하도록 만들어졌습니다.
fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor") 의 코드를 사용하여
영역을 색칠하고 구분할 수 있습니다.
MA : MA_유형을 선택할 수 있습니다. 이평선의 종류에 따라 종목당 손익비가 달라지므로 꼭 필요한 옵션입니다.
Start : 오실레이터 범위를 설정할 시작값입니다.
End : 오실레이터 범위를 설정할 마지막값입니다.
Lenght : 오실레이터에서 계산식을 산출하기 위한 캔들의 개수입니다.
Timeframe : 최대 3개의 타임프레임으로 중첩할 시간을 설정합니다.
repaint : 리페인팅을 적용할지 선택할 수 있습니다. 기본값은 OFF 입니다.
해당 지표의 리페인트 설정에 관한 코딩은 트레이딩뷰에서 권장하는 추천 방법으로 작성되었습니다.
참고 :
security(syminfo.tickerid, tf, src)
매매방법)
Multi-Time-Frame(MTF) 기능으로 지표에서 설정한 시간대가 어느 차트 시간대에서나 동일하게 표시됩니다.
MTF 사용시 발생하는 리페인트 문제는 트레이딩뷰의 권장코드를 참고하여 해결했습니다.
사용자가 리페인트 여부를 결정할 수 있습니다. 기본값은 OFF 입니다.
- 시그널
시그널의 Buy와 Sell은 3중첩일 경우 표시됩니다. 3중첩이 아니라도 단기선과 장기선이 교차되는 시점에서 매매를 결정할 수 있습니다.
Buy와 Sell 시그널에서 진입을 결정하고 BL(BuyLoss)와 SL(SellLoss) 에서 exit를 결정합니다.
BL과 SL을 진입으로 응용할 수도 있습니다.
라인의 컬러로 중첩을 판단할 수 있습니다. 2개의 조건이 중첩되면 오렌지, 1개의 조건이 중첩되면 블루컬러입니다.
- 다이버전스
다이버전스는 오실레이터와 실제 가격의 불일치에서 발생하는 신호입니다.
상한과 하한이 있는 조건으로 범위를 설정하였기 때문에 다이버전스를 식별가능합니다.
- 추세선
그림과 같이 같은 영역의 고점을 이어 하락추세선을 긋습니다.
그림과 같이 같은 영역의 저점을 이어 상승추세선을 긋습니다.
캔들이 표시할 수 없는 추세선돌파 지점을 볼 수 있게 활용가능합니다.
- 진폭으로 매물대 찾기
빨간색 영역의 저점과 초록색 영역의 고점이 발생할 때, 그 차이를 하나의 진폭으로 보고 범위를 설정합니다.
여기서 하나의 진폭은 위나 아래로 갈 수 있는 패턴값이 되며, 이 패턴값은 지지/저항으로 작용합니다. 전통적인 방식에 없는 독창적인 방식으로 개발된 것으로 정확성 높은 기준입니다. 이것은 해당 지표를 사용할 때 가장 잘 맞습니다. 진폭 범위의 1배수,2배수,3배수,4배수 자리를 사용합니다.
2배수 자리는 다시 돌아오는 되돌림 확률이 높은 위치입니다.
- 휩쏘&변동성 찾기 구간
휩쏘는 수렴구간에서 잦은 매매를 유발하거나, 추세가 발생하기 전에 반대방향으로 혼란을 주는 속임수를 의미합니다. 휩쏘는 보통 극복하기 어려운 기술적 한계로 여겨집니다.
해당지표에서는 이를 극복하기 위해 휩쏘와 변동성이 나타날 수 있는 구간을 정의하도록 만들었습니다. 휩쏘&변동성 표시 구간이 발생하면 이후 큰 움직임이 발생할 수 있습니다.
얼러트)
Buy, Sell, BuyLoss, SellLoss, Whipsaw alert
면책조항)
스크립트는 정보 제공 및 교육 목적으로만 사용됩니다. 스크립트의 사용은 전문적 및/또는 재정적 조언으로 간주되지 않습니다. 스크립트 출력 및 스크립트 사용과 관련된 위험을 평가하는 책임은 전적으로 귀하에게 있습니다.
[ADOL_]Trend_Osilator_beta
ENG) Trend_Osilator_beta
Introduction)
This is an indicator that analyzes and displays trends.
By taking the form of an oscillator, upper and lower limits are established, which limits the unlimited range that can appear on the chart.
Through oscillatorization, you can find overbought, oversold, and current trend areas.
This version is a beta version, so signals and alerts do not occur.
It adopts MTF and is a simple but functional indicator. Complement your skills with the trading methods below.
To use multiple time frames, use the timeframe.multiplier function.
We created a table using the table.new function and displayed the time zone selected in the current indicator at the bottom right of the chart.
When using multiple indicators, you can easily distinguish the currently selected time.
Principle)
Set up two moving averages with different speeds and make the relative difference.
Create the speed difference between the two moving averages using methods such as over = crossover(fast, slow) and under = crossunder(fast, slow).
The point at which the difference in relative speed decreases is where the possibility of inflection is high. Through the cross code, you can find out when the speed difference becomes 0.
It was created by determining the green and red areas at the inflection point.
Using the code of fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor")
You can color and distinguish areas.
MA: MA_type can be selected (limited)
Min: This is the starting value to set the oscillator range.
Max: This is the final value to set the oscillator range.
Lenght: This is the number of candles used to calculate the calculation formula in the oscillator.
repaint: You can choose whether to draw a repaint. The default is OFF.
The coding for repaint settings for the indicator was written using the optimal method recommended by TradingView.
Reference:
security(syminfo.tickerid, tf, src )
Trading method)
You can set different time zones in Timeframe. Even if you change the time frame of the chart, it is displayed based on the time set in the indicator.
If the timeframe is set to 4h in the indicator, the standard that occurs in 4h is retrieved and displayed even if the chart screen is adjusted to 15m or 30m.
This is a feature of Multi-Time-Frame (MTF). The repaint problem that occurred when using MTF was resolved by referring to TradingView's recommended code.
User can decide whether to repaint or not. The default is OFF.
In the green area, Buy is the dominant opinion, and in the red area, Sell is the dominant opinion. simple!
You can gain good insight by deciding to buy or sell without moving too far from the point where the area changes.
- Settings are the most common default values. It is also possible to change the settings, but leave the settings as is.
If you want to do short shots, you can select the time frame as 1 hour, 15 minutes, or whatever time you want. If you want to analyze big changes, you can select the time frame as 4 hours or daily.
The recommended basic time frame is 4 hours.
- Upward divergence
We confirm that 8/25 is the lowest point.
- trend line
- Find a property for sale by amplitud.
Breaking a trend line that candles cannot indicate, It can be used to view branches.
Disclaimer)
This indicator is not an indicator that guarantees absolute returns and is used for simple reference purposes. Accordingly, all trading decisions you make are solely your responsibility.
KOR) 트렌드_오실레이터_베타
소개)
이것은 트렌드를 분석하여 표기해주는 지표입니다.
오실레이터 형태를 갖춤으로써, 상한과 하한이 정해지며, 이로 인해 차트에서 나타날 수 있는 무제한적인 확장영역이 제한됩니다.
오실레이터화를 통해, 과매수와 과매도, 현재의 트렌드 영역을 잘 찾을 수 있습니다.
이 버전은 베타바전으로 시그널과 얼러트가 발생하지 않습니다.
MTF를 채택했으며, 단순하지만, 기능적으로 훌륭한 지표입니다. 아래 매매방법에서 능력을 보완하십시오.
멀티타임프레임을 사용하기 위해 timeframe.multiplier 함수를 사용합니다.
table.new 함수를 사용하여 table을 만들고, 차트 우측 하단에 현재 지표에서 선택한 시간대가 표시되도록 하였습니다.
여러개의 지표를 사용할 때 쉽게, 현재 선택된 시간을 쉽게 구분가능합니다.
원리)
속도가 다른 두 개의 이평선을 설정하고 상대적인 차이를 만듭니다.
over = crossover(fast, slow) , under = crossunder(fast, slow) 와 같은 방법으로 두개의 이평선의 속도차이를 만듭니다.
상대적 속도의 차이가 줄어드는 시점은 변곡의 가능성이 높은 자리입니다. cross code를 통해 속도차가 0이 되는 시점을 알 수 있습니다.
변곡점에서 초록색과 빨간색의 영역을 결정하는 방법으로 만들어졌습니다.
fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor") 의 코드를 사용하여
영역을 색칠하고 구분할 수 있습니다.
MA : MA_유형을 선택할 수 있습니다.(제한적 사용)
Min : 오실레이터 범위를 설정할 시작값입니다.
Max : 오실레이터 범위를 설정할 마지막값입니다.
Lenght : 오실레이터에서 계산식을 산출하기 위한 캔들의 개수입니다.
repaint : 리페인팅을 그릴지 선택할 수 있습니다. 기본값은 OFF 입니다.
해당 지표의 리페인트 설정에 관한 코딩은 트레이딩뷰에서 권장하는 추천 방법으로 작성되었습니다.
참고 :
security(syminfo.tickerid, tf, src )
매매방법)
- Timeframe에서 다양한 시간대를 설정할 수 있습니다. 차트의 시간프레임을 바꿔도 지표에서 설정한 시간을 기준으로 표시해줍니다.
지표에서 Timeframe을 4h로 설정했다면, 차트화면을 15m으로 조정하거나 30m으로 조정해도 4h 에서 발생하는 기준을 가져와 보여줍니다.
이것은 Multi-Time-Frame(MTF)의 기능입니다. MTF 사용시 발생하는 리페인트 문제는 트레이딩뷰의 권장코드를 참고하여 해결했습니다.
사용자가 리페인트 여부를 결정할 수 있습니다. 기본값은 OFF 입니다.
초록색의 영역에서는 매수가 지배적인 의견이며, 빨간색의 영역에서는 매도가 지배적인 의견입니다. 단순!
영역이 바뀌는 시점에서 멀리 벗어나지 않고 매매를 결정하면 좋은 통찰력을 얻을 수 있습니다.
- 설정값은 가장 보편적인 기본값입니다. 설정값을 바꾸는 방법도 가능하지만, 설정값을 그대로 두고,
단타를 하고 싶으면 타임프레임을 1시간, 15분, 혹은 원하는 시간, 큰 변화를 분석하고 싶으면 타임프레임을 4시간, 날봉 으로 선택하면 되며,
추천하는 기본 시간프레임은, 4시간입니다.
- 상승다이버전스
를 통해 8/25이 최저점이 됨을 확인합니다. 하락다이버전스는 같은 원리로 반대방향으로 그릴 수 있습니다.
- 추세선
그림과 같이 같은 영역의 고점을 이어 하락추세선을 긋습니다. 상승추세선은 반대입니다.
캔들이 표시할 수 없는 추세선돌파 지점을 볼 수 있게 활용가능합니다.
- 진폭으로 매물대 찾기
빨간색 영역의 저점과 초록색 영역의 고점이 발생할 때, 그 차이를 하나의 진폭으로 보고 범위를 설정합니다.
여기서 하나의 진폭은 위나 아래로 갈 수 있는 패턴값이 되며, 이 패턴값은 지지/저항으로 작용합니다.
얼러트)
얼러트의 설정이 포함되어 있지 않습니다.
면책조항)
해당지표는 절대수익을 보장하는 지표가 아니며, 단순한 참고용으로 사용됩니다. 따라서, 귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
RSI :: ALLinDivergence v10.0
Everything you see in this indicator has been designed with a single purpose, to ease your trading with simplify visual technical analysis of the market. It pulls data from 7 different TimeFrames and it can not be more simpler visual representation of its calculations when applied on chart.
When applied on chart, you will see GREEN/RED alternating MTF RSI line and its 70 overbought area and its 30 oversold area. There is a gentle purple colour line in the background which represents RSI line of the current TF (it is not crucial but it helps to know why MTF line turns RED or turns GREEN (crossing of those two).
HOW TO USE IT?
Rule 1.
TIMEFRAMES
Choose the best TimeFrame for the job. I use: 1min, 2min, 3min, 5min, 8min, 13min, 21min, 34min or 56min (golden ratio). You can also pick a different TF but only to up to 1h TF chart as it does not work well with TF over 1h. Smaller TF is used for SCALPING of DAY TRADING higher TF is used for SWING TRADING. You get the picture?
Rule 2
TO ENTER BUY/LONG POSITION: search for HigherLows on RSI MTF GREEN/RED LINE when it is coloured RED. To enter a position it should be confirmed with AALERT :: ALLinDivergence v 10.0 that "GREEN" Divergence is emerging.
TO ENTER SELL/SHORT POSITION: search for LowerHighs on RSI MTF GREEN/RED LINE when it is coloured GREEN. To enter a position it should be confirmed with ALERT :: ALLinDivergence v 10.0 that "RED" Divergence is emerging.
Rule 3
EXIT FROM BUY/LONG POSITION: search for HigherLows on RSI MTF GREEN/RED LINE.
EXIT FROM SELL/SHORT POSITION: search for LowerHighs on RSI MTF GREEN/RED LINE.
Rule 4
CAUTION
Do not rush to enter a position and try to predict what indicator will do next. It does not end well.
Be aware you are not exiting a position in panic that would be too soon or even worse, you get married to bad trade and you are not exiting even though you should exit by many signals you get.
Use risk management strategy to protect your capital.
Follow the rules and make your trading easier and better.
LuxAlgo® - Price Action Concepts™Price Action Concepts™ is a first of it's kind all-in-one indicator toolkit which includes various features specifically based on pure price action.
Order Blocks w/ volume data, real-time market structure (BOS, CHoCH, EQH/L) w/ 'CHoCH+' being a more confirmed reversal signal, a MTF dashboard, Trend Line Liquidity Zones (real-time), Chart Pattern Liquidity Zones, Liquidity Grabs, and much more detailed customization to get an edge trading price action automatically.
Many traders argue that trading price action is better than using technical indicators due to lag, complexity, and noisy charts. Popular ideas within the trading space that cater towards price action trading include "trading like the banks" or "Smart Money Concepts trading" (SMC), most prominently known within the forex community.
What differentiates price action trading from others forms of technical analysis is that it's main focus is on raw price data opposed to creating values or plots derived from price history.
Mostly all of the features within this script are generated purely from price action, more specifically; swing highs, swing lows, and market structure... which allows users to automate their analysis of price action for any market / timeframe.
🔶 FEATURES
This script includes many features based on Price Action; these are highlighted below:
Market structure (BOS, CHoCH, CHoCH+, EQH/L) (Internal & Swing) multi-timeframe
Volumetric Order Blocks & mitigation methods (bullish & bearish)
Liquidity Concepts
Trend Line Liquidity Zones
Chart Pattern Liquidity
Liquidity Grabs Feature
Imbalance Concepts MTF w/ multiple mitigation methods
Fair Value Gaps
Balanced Price Range
Activity Asymmetry
Strong/Weak Highs & Lows w/ volume percentages
Premium & Discount Zones included
Candle Coloring based on market structure
Previous Highs/Lows (Daily, Monday's, Weekly, Monthly, Quarterly)
Multi-Timeframe Dashboard (15m, 1h, 4h, 1d)
Built-in alert conditions & Any Alert() Function Call Conditions
Advanced Alerts Creator to create step-by-step alerts with various conditions
+ more (see changelog below for current features)
🔶 BASIC DEMONSTRATION
In the image above we can see a demonstration of the market structure labeling within this indicator. The automatic BOS & CHoCH labels on top of dashed lines give clear indications of breakouts & reversals within the internal market structure (short term price action). The "CHoCH+" label is also demonstrated as it triggers only if price has already made a new higher low, or lower high.
We can also see a solid line with a larger BOS label in the middle of the chart. This label demonstrates a break of structure taking into account the swing market structure (longer term price action). All of these labels are generated in real-time.
🔶 USAGE & EXAMPLES
In the image below we can see how a trade setup could be created using Order Blocks w/ volume metrics to find points of interest in the market, swing / internal market structure to get indications of longer & shorter term reversals, and trend line liquidity zones to find more likely impulses & breakouts within trends.
We can see in the next image below that price came down to the highest volume order block marked out previously as our point of interest for an entry used in confluence with the overall market structure being bullish (swing CHoCH). Due to price closing below the middle Order Block at (24.77%), we saw it was mitigated, and then price revisited liquidity above the Trend Line zone above, leading us to the first Order Block as a target.
You will notice the % values adjust as Order Blocks are touched & mitigated, aligning with the correct volume detected when the Order Block was established.
In the image below we can see more features from within Price Action Concepts™ indicator, including Chart Pattern Liquidity, Fair Value Gaps (one of many Imbalance Concepts), Liquidity Grabs, as well as the primary market structures & OBs.
By using multiple features as such, users can develop a greater interpretation of where liquidity rests in the market, which allows them to develop trading plans a lot easier. Liquidity Grabs are highlighted as blue/red boxes on the wicks during specific price action that indicates the market has made an impulse specifically to take out resting buy or sell side orders.
We can notice in the trade demonstrated below (hindsight example) how price often moves to the areas of the most liquidity, even if unexpected according to classical technical analysis performed by retail traders such as chart patterns. Wicks to take out orders above & potentially trap traders are much more noticeable with features such as these.
The Chart Patterns which can be detected include:
Ascending/Descending Wedges (Asc/Desc Wedge)
Ascending/Descending Broadening Wedges (Asc/Desc BW)
Ascending/Descending/Symmetrical Triangles (Asc/Desc/Sym Triangle)
Double Tops/Bottoms (Double Top/Double BTM)
Head & Shoulders (H&S)
Inverted Head & Shoulders (IH&S)
General support & resistance during undetected patterns
In the image below we can see more features from within the indicator, including Balanced Price Range (another imbalance method similar to FVG), Market Structure Candle Coloring, Accumulation & Distribution zones, Premium & Discount zones w/ a percentage on each zone, the MTF dashboard, as well as the Previous Daily Highs & Lows (one of many highs/lows) displayed on the chart automatically.
The colored candles use more specific market structure analysis, specifically allowing users to visualize when trends are considered "normal" or "strong". By utilizing other features alongside this market structure analysis, such as noticing price retesting the PDL level + the Equilibrium as resistance, a Balanced Price Range below price, the discount with a high 72% metric, and the MTF dashboard displaying an overall bearish structure...
...users can instantly gain a deeper interpretation of price action, make highly confluent trading plans while avoiding classical technical indicators, and use traditional retail trading concepts such as chart patterns / trend lines to their advantage in finding logical areas of liquidity & points of interest in the market.
The image below shows the previous chart zoomed in with 2 liquidity concepts re-enabled & used alongside a new range targeting the same Discount zone.
🔶 SETTINGS
Market Structure Internal: Allows the user to select which internal structures to display (BOS, CHoCH, or None).
Market Structure Swing: Allows the user to select which swing structures to display (BOS, CHoCH, or None).
MTF Scanner: See market structure on various timeframes & how many labels are active consecutively.
Equal Highs & Lows: Displays EQH / EQL labels on chart for detecting equal highs & lows.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Order Blocks Internal: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart as well as select a color.
Order Blocks Swing: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart as well as select a color.
Mitigation Method: Allows the user to select how the script mitigates an Order Block (close, wick, or average).
Internal Buy/Sell Activity: Allows the user to display buy/sell activity within Order Blocks & decide their color.
Show Metrics: Allows the user to display volume % metrics within the Order Blocks.
Trend Line Liquidity Zones: Allows the user to display Trend Line Zones on the chart, select the number of Trend Lines visible, & their colors.
Chart Pattern Liquidity: Allows the user to display Chart Patterns on the chart, select the significance of the pattern detection, & their colors.
Liquidity Grabs: Allows the user to display Liquidity Grabs on the chart.
Imbalance Concepts: Allows the user to select the type of imbalances to display on the chart as well as the styling, mitigation method, & timeframe.
Auto FVG Threshold: Filter out non-significant fair value gaps.
Premium/ Discount Zones: Allows the user to display Premium, Discount , and Equilibrium zones on the chart
Accumulation / Distribution: Allows the user to display accumulation & distribution consolidation zones with an optional Consolidation Zig-Zag setting included.
Highs/Lows MTF: Displays previous highs & lows as levels on the chart for the previous Day, Monday, Week, Month, or quarter (3M).
General Styling: Provides styling options for market structure labels, market structure theme, and dashboard customization.
Any Alert() Function Call Conditions: Allows the user to select multiple conditions to use within 1 alert.
🔶 CONCLUSION
Price action trading is a widely respected method for its simplicity & realistic approach to understanding the market itself. Price Action Concepts™ is an extremely comprehensive product that opens the possibilities for any trader to automatically display useful metrics for trading price action with enhanced details in each. While this script is useful, it's critical to understand that past performance is not necessarily indicative of future results and there are many more factors that go into being a profitable trader.
🔶 HOW TO GET ACCESS
You can see the Author's instructions below to get instant access to this indicator & our premium suite.
Magnetic Trend filterMagnetic Trend Filter – A Smarter Way to Trade Trends 🚀
I’m excited to introduce a powerful trend filtering method that I’ve been working on—Magnetic Trend Filter (MTF). If you’ve ever struggled with noisy price action, false signals, or unclear trends, this indicator might be just what you need!
🔍 What is the Magnetic Trend Filter?
MTF is designed to smooth out market noise and help traders focus on clean, high-probability trend signals. It works by applying an intelligent filtering mechanism to Close price data, reducing whipsaws while maintaining trend sensitivity.
Instead of relying solely on conventional moving averages or lagging indicators, MTF adapts dynamically to market conditions, providing a more refined view of trend direction.
🎯 How it Works
• MTF processes filtered Close price data, making trends more visible.
• It reduces unnecessary price fluctuations, helping you stay in trades longer.
• The filtering mechanism ensures better accuracy in defining trend direction.
📈 How to Use It
• Buy Signals: When the trend filter turns bullish (uptrend confirmation).
• Sell Signals: When the trend filter turns bearish (downtrend confirmation).
• Combine with Other Indicators: MTF works great alongside VWAP, Bollinger Bands, and Ichimoku Cloud for added confluence.
Personally, I use it with my price range filter to catch good exits. Have added that to the Magnetic trend filter and will also publish advanced version independently.
🛠 Customization & Optimization
I’ve optimized the script to reduce computation load, making it efficient and responsive even on lower timeframes. You can tweak smoothing parameters to adjust the sensitivity of the filter based on your trading style.
📌 Final Thoughts
Magnetic Trend Filter is an efficient way to identify trends while avoiding unnecessary noise in price movements. Whether you’re a day trader or swing trader, this tool can help improve decision-making and increase trading accuracy.
💡 Try it out and let me know your thoughts! I’d love to hear feedback and explore potential improvements together. 🚀
Disclaimer:
This is for educational purpose only, no matter how promising things look on chart, they are past performances and reality may vary in real-time.
So use at your own risk.
TrendPredator PROThe TrendPredator PRO
Stacey Burke, a seasoned trader and mentor, developed his trading system over the years, drawing insights from influential figures such as George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His popular system integrates select concepts from these experts into a consistent framework. While powerful, it remains highly discretionary, requiring significant real-time analysis, which can be challenging for novice traders.
The TrendPredator indicators support this approach by automating the essential analysis required to trade the system effectively and incorporating mechanical bias and a multi-timeframe concept. They provide value to traders by significantly reducing the time needed for session preparation, offering all relevant chart analysis and signals for live trading in real-time.
The PRO version offers an advanced pattern identification logic that highlights developing context as well as setups related to the constellation of the signals provided. It provides real-time interpretation of the multi-timeframe analysis table, following an extensive underlying logic with more than 150 different setup variations specifically developed for the system and indicator. These setups are constantly back- and forward-tested and updated according to the results. This version is tailored to traders primarily trading this system and following the related setups in detail.
The former TrendPredator ES version does not provide that option. It is significantly leaner and is designed for traders who want to use the multi-timeframe logic as additional confluence for their trading style. It is very well suited to support many other trading styles, including SMC and ICT.
The Multi-timeframe Master Pattern
Inspired by Taylor’s 3-day cycle and Steve Mauro’s work with “Beat the Market Maker,” Burke’s system views markets as cyclical, driven by the manipulative patterns of market makers. These patterns often trap traders at the extremes of moves above or below significant levels with peak formations, then reverse to utilize their liquidity, initiating the next phase. Breakouts away from these traps often lead to range expansions, as described by Tony Crabel and Robert Schabacker. After multiple consecutive breakouts, especially after the psychological number three, overextension might develop. A break in structure may then lead to reversals or pullbacks. The TrendPredator Indicator and the related multi-timeframe trading system are designed to track these cycles on the daily timeframe and provide signals and trade setups to navigate them.
Bias Logic and Multi-Timeframe Concept
The indicator covers the basic signals of Stacey Burke's system:
- First Red Day (FRD): Bearish break in structure, signalling weak longs in the market.
- First Green Day (FGD): Bullish break in structure signalling weak shorts in the markt.
- Three Days of Longs (3DL): Overextension signalling potential weak longs in the market.
- Three Days of Shorts (3DS): Overextension signalling potential weak shorts in the market.
- Inside Day (ID): Contraction, signalling potential impulsive reversal or range expansion move.
It enhances the original system by introducing:
Structured Bias Logic:
Tracks bias by following how price trades concerning the last previous candle high or low that was hit. For example if the high was hit, we are bullish above and bearish below.
- Bullish state: Breakout (BO), Fakeout Low (FOL)
- Bearish state: Breakdown (BD), Fakeout High (FOH)
Multi-Timeframe Perspective:
- Tracks all signals across H4, H8, D, W, and M timeframes, to look for alignment and follow trends and momentum in a mechanical way.
Developing Context:
- Identifies specific predefined context states based on the monthly, weekly and daily bias.
Developing Setups:
- Identifies specific predefined setups based on context and H8 bias as well as SB signals.
The indicator monitors the bias and signals of the system across all relevant timeframes and automates the related graphical chart analysis as well as context and setup zone identification. In addition to the master pattern, the system helps to identify the higher timeframe situation and follow the moves driven by other timeframe traders to then identify favourable context and setup situations for the trader.
Example: Full Bullish Cycle on the Daily Timeframe with Multi-Timeframe Signals
- The Trap/Peak Formation
The market breaks down from a previous day’s and maybe week’s low—potentially after multiple breakdowns—but fails to move lower and pulls back up to form a peak formation low and closes as a first green day.
MTF Signals: Bullish daily and weekly fakeout low; three consecutive breakdown days (1W Curr FOL, 1D Curr FOL, BO 3S).
Context: Reversal (REV)
Setup: Fakeout low continuation low of day (FOL Cont LOD)
- Pullback and Consolidation
The next day pulls further up after first green day signal, potentially consolidates inside the previous day’s range.
MTF Signals: Fakeout low and first green day closing as an inside day (1D Curr IS, Prev FOL, First G).
Context: Reversal continuation (REV Cont)
Setup: Previous fakeout low continuation low handing fruit (Prev FOL Cont LHF)
- Range Expansion/Trend
The following day breaks up through the previous day’s high, launching a range expansion away from the trap.
MTF Signals: Bullish daily breakout of an inside day (1D Curr BO, Prev IS).
Context: Uptrend healthy (UT)
Setup: Breakout continuation low hanging fruit (BO Cont LHF)
- Overextension
After multiple consecutive breakouts, the market reaches a state of overextension, signalling a possible reversal or pullback.
MTF Signals: Three days of breakout longs (1D Curr BO, Prev BO, BO 3L).
Context: Uptrend extended (UT)
- Reversal
After a breakout of previous days high that fails, price pulls away from the high showing a rollover of momentum across all timeframes and a potential short setup.
MTF Signals: Three days of breakout longs, daily fakeout high (1D 3L, FOH)
Context: Reversal countertrend (REV)
Setup: Fakeout high continuation high of day (FOH Cont HOD)
Note: This is only one possible illustrative scenario; there are many variations and combinations.
Example Chart: Full Bullish Cycle with Correlated Signals
Multi-Timeframe Signals examples:
Context and Setups examples:
Note: The signals shown along the move are manually added illustrations. The indicator shows these in realtime in the table at top and bottom right. This is only one possible scenario; there are many variations and combinations.
Due to the fractal nature of markets, this cycle can be observed across all timeframes. The strongest setups occur when there is multi-timeframe alignment. For example, a peak formation and potential reversal on the daily timeframe have higher probability and follow-through when they align with bearish signals on higher timeframes (e.g., weekly/monthly BD/FOH) and confirmation on lower timeframes (H4/H8 FOH/BD). With this perspective, the system enables the trader to follow the trend and momentum while identifying rollover points in a highly differentiated and precise way.
Using the Indicator for Trading
The automated analysis provided by the indicator can be used for thesis generation in preparation for a session as well as for live trading, leveraging the real-time updates as well as the context and setup indicated or alerted. It is recommended to customize the settings deeply, such as hiding the lower timeframes for thesis generation or the specific alert time window and settings to the specific trading schedule and playbook of the trader.
1. Context Assessment:
Evaluate alignment of higher timeframes (e.g., Month/Week, Week/Day). More alignment → Stronger setups.
- The context table offers an interpretation of the higher timeframe automatically. See below for further details.
2. Setup Identification:
Follow the bias of daily and H8 timeframes. A setup mostly requires alignment of these.
Setup Types:
- Trend Trade: Trade in alignment with the previous day’s trend.
Example: Price above the previous day’s high → Focus on long setups (dBO, H8 FOL) until overextension or reversal signs appear (H8 BO 3L, First R).
- Reversal Trade: Identify reversal setups when lower timeframes show rollovers after higher timeframe weakness.
Example: Price below the previous day’s high → Look for reversal signals at the current high of day (H8 FOH, BO 3L, First R).
- The setup table shows potential setups for the specific price zone in the table automatically. See below for further details.
3. Entry Confirmation:
Confirm entries based on H8 and H4 alignment, candle closes and lower timeframe fakeouts.
- H8 and H4 should always align for a final confirmation, meaning the breach lines should be both in the back of a potential trade setup.
- M15/ 5 candle close can be seen as acceptance beyond a level or within the setup zone.
- M15/5 FOH/ FOL signals lower timeframe traps potentially indicating further confirmation.
Example Chart Reversal Trade:
Context: REV (yellow), Reversal counter trend, Month in FOL with bearish First R, Week in BO but bearishly overextended with BO 3L, Day in Fakeout high reversing bearishly.
Setup: FOH Cont HOD (red), Day in Fakeout high after BO 3L overextension, confirmed by H8 FOH high of day, First R as further confluence. Two star quality and countertrend.
Entry: H4 BD, M15 close below followed by M15 FOH.
Detailed Features and Options
1. Context and Setup table
The Context and Setup Table is the core feature of the TrendPredator PRO indicator. It delivers real-time interpretation of the multi-timeframe analysis based on an extensive underlying logic table with over 150 variations, specifically developed for this system and indicator. This logic is continuously updated and optimized to ensure accuracy and performance.
1.1. Developing Context
States for developing higher timeframe context are determined based on signals from the monthly, weekly, and daily timeframes.
- Green and Red indicate alignment and potentially interesting developing setups.
- Yellow signals a mixed or conflicting bias, suggesting caution when taking trades.
The specific states are:
- UT (yellow): Uptrend extended
- UT (green): Uptrend healthy
- REV (yellow): Reversal day counter trend
- REV (green): Reversal day mixed trend
- REV Cont (green): Reversal continuation mixed trend
- REV Cont (yellow): Reversal continuation counter trend
- REV into UT (green): Reversal day into uptrend
- REV Cont into UT (green): Reversal continuation into uptrend
- UT Pullback (yellow): Counter uptrend breakdown day
- Conflicting (yellow): Conflicting signals
- Consolidating (yellow): Consolidating sideways
- Inside (yellow): Trading inside after an inside week
- DT Pullback (yellow): Counter downtrend breakout day
- REV Cont into DT (red): Reversal continuation into downtrend
- REV into DT (red): Reversal day into downtrend
- REV Cont (yellow): Reversal continuation counter trend
- REV Cont (red): Reversal continuation mixed trend
- REV (red): Reversal day mixed trend
- REV (yellow): Reversal day countertrend
- DT (red): Downtrend healthy
- DT (yellow): Downtrend extended
Example: Uptrend
The Uptrend Context (UT, green) indicates a healthy uptrend with all timeframes aligning bullishly. In this case, the monthly is in a Fakeout Low (FOL) and currently inside the range, while the weekly and daily are both in Breakout (BO) states. This context is favorable for developing long setups in the direction of the trend.
Example: Uptrend pullback
The Uptrend Pullback Context (UT Pullback, yellow) indicates a Breakdown (BD) on the daily timeframe against a higher timeframe uptrend. In this case, the monthly is in a Fakeout Low (FOL) and currently inside its range, the weekly is in Breakout (BO) and also currently inside, while the daily is in Breakdown (BD). This context reflects a conflicting situation—potentially signaling either an early reversal back into the uptrend or, if the breakdown extends, the beginning of a possible trend change.
Example: Reversal into Uptrend
The Reversal into Uptrend Context (REV into UT, green) indicates a lower timeframe reversal aligning with a higher timeframe uptrend. In this case, the monthly is in Breakout (BO), the weekly is in Breakout (BO) and currently inside its range, while the daily is showing a bullish Fakeout Low (FOL) reversal. This context is potentially very favorable for long setups, as it signals a strong continuation of the uptrend supported across multiple timeframes.
Example: Reversal
The Bearish Reversal Context indicates a lower timeframe rollover within an ongoing higher timeframe uptrend. In this case, the monthly remains in Breakout (BO), the weekly has shifted into a Fakeout High (FOH) after three weeks of breakout longs, and the daily is already in Breakdown (BD). This context suggests a potentially favorable developing short setup, as early signs of weakness appear across timeframes.
1.2. Developing Setup
The states for specific setups are based on the context and the signals from the daily timeframe and H8, indicating that price is in the zone of alignment. The setup description refers to the state of the daily timeframe, while the suffix relates to the H8 timeframe. For example, "prev FOH Cont LHF" means that the previous day is in FOH (Fakeout High) relative to yesterday's breakout level, currently trading inside, and we are in an H8 breakdown, indicating a potential LHF (Lower High Formation) short trade if the entry confirms. The suffix HOD means that H8 is in FOH or BO (Breakout).
The specific states are:
- REV HOD (red): Reversal high of day
- REV Cont LHF (red): Reversal continuation low hanging fruit
- BO Cont LHF (green): Breakout continuation low hanging fruit
- BO Cont LOD (green): Breakout continuation low of day
- FOH Cont HOD (red): Fakeout high continuation high of day
- FOH Cont LHF ((red): Fakeout high continuation low hanging fruit
- prev BD Cont HOD (red): Previous breakdown continuation high of day
- prev BD Cont LHF (red): Previous breakdown continuation low hanging fruit
- prev FOH Cont HOD (red): Previous fakeout high continuation high of day
- prev FOH Cont LHF (red): Previous fakeout high continuation low hanging fruit
- prev FOL Cont LOD (green): Previous fakeout low continuation low of day
- prev FOL Cont LHF (green): Previous fakeout low continuation low hanging fruit
- prev BO Cont LOD (green): Previous breakout continuation low of day
- prev BO Cont LHF (green): Previous breakout continuation low hanging fruit
- FOL Cont LHF (green): Fakeout low continuation low hanging fruit
- FOL Cont LOD (green): Fakeout low continuation low of day
- BD Cont LHF (red): BD continuation low hanging fruit
- BD Cont LOD (red): Breakdown continuation low of day
- REV Cont LHF (green): Reversal continuation low hanging fruit
- REV LOD (green): Reversal low of day
- Inside: Trading inside after an inside day
Type: Indicates the situation of the indicated setup concerning:
- Trend: Following higher timeframe trend
- Mixed: Mixed higher timeframe signals
- Counter: Against higher timeframe bias
Quality: Indicates the quality of the indicated setup according to the specified logic table
No star: Very low quality
* One star: Low quality
** Two star: Medium quality
*** Three star: High quality
Example: Breakout Continuation Trend Setup
This setup highlights a healthy uptrend where the month is in a breakout, the week is in a fakeout low, and the day is in a breakout after a first green day. As the H8 breaks out to the upside, a long setup zone is triggered, presenting a breakout continuation low-hanging fruit trade. This is a trend trade in an overextended situation on the H8, with an H8 3L, resulting in an overall quality rating of one star.
Example: Fakeout Low Continuation Trend Setup
This setup shows a reversal into uptrend, with the month in a breakout, the week in a breakout, and the day in a fakeout low after breaking down the previous day and now reversing back up. As H8 breaks out to the upside, a long setup zone is triggered, presenting a previous fakeout low continuation, low-hanging fruit trade. This is a medium-quality trend trade.
Example: Reversal Setup - Mixed Trend
This setup shows a reversal setup in line with the weekly trend, with the month in a fakeout low, the week in a fakeout high, and the day in a fakeout high after breaking out earlier in the day and now reversing back down. As H8 loses the previous breakout level after 3 breakouts (with H8 3L), a short setup zone is triggered, presenting a fakeout high continuation at the high of the day. This is a high-quality trade in a mixed trend situation.
Setup Alerts:
Alerts can be activated for setups freshly triggered on the chart within your trading window.
Detailed filter logic for setup alerts:
- Setup quality: 1-3 star
- Setup type: Counter, Mixed and Trend
- Setup category: e.g. Reversal Bearish, Breakout, Previous Fakeout High
- 1D BO and First signals: 3DS, 3DL, FRD, FGD, ID
Options:
- Alerts on/ off
- Alert time window (from/ to)
- Alert filter customization
Note: To activate alerts from a script in TradingView, some settings need to be adjusted. Open the "Create Alert" dialog and select the option "Any alert() function call" in the "Condition" section. Choose "TrendPredator PRO" to ensure that alerts trigger properly from the code. Alerts can be activated for entire watchlists or individual pairs. Once activated, the alerts run in the background and notify the user whenever a setup is freshly triggered according to the filter settings.
2. Multi-Timeframe Table
Provides a real-time view of system signals, including:
Current Timeframe (Curr): Bias states.
- Breakout (green BO): Bullish after breaking above the previous high.
- Fakeout High (red FOH): Bearish after breaking above the previous high but pulling back down.
- Breakdown (red BD): Bearish after breaking below the previous low.
- Fakeout Low (green FOL): Bullish after breaking below the previous low but pulling back up.
- Inside (IS): Price trading neutral inside the previous range, taking the previous bias (color indicates the previous bias).
Previous Timeframe (Prev): Tracks last candle bias state and transitions dynamically.
- Bias for last candle: BO, FOH, BD, FOL in respective colors.
- Inside bar (yellow IS): Indicated as standalone signal.
Note: Also previous timeframes get constantly updated in real time to track the bias state in relation to the level that was hit. This means a BO can still lose the level and become a FOH, and vice versa, and a BD can still become a FOL, and vice versa. This is critical to see for example if traders that are trapped in that timeframe with a FOH or FOL are released. An inside bar stays fixed, though, since no level was hit in that timeframe.
Breakouts (BO): Breakout count 3 longs and 3 shorts.
- 3 Longs (red 3L): Bearish after three breakouts without hitting a previous low.
- 3 Shorts (green 3S): Bullish after three breakdowns without hitting a previous high.
First Countertrend Close (First): Tracks First Red or Green Day.
- First Green (G): After two consecutive red closes.
- First Red (R): After two consecutive green closes.
Options: Customizable font size and label colors.
3. Historic Highs and Lows
Displays historic highs and lows per timeframe for added context, enabling users to track sequences over time.
Timeframes: H4, H8, D, W, M
Options: Customize for timeframes shown, number of historic candles per timeframe, colors, formats, and labels.
4. Previous High and Low Extensions
Displays extended previous levels (high, low, and close) for each timeframe to assess how price trades relative to these levels.
H4: P4H, P4L, P4C
H8: P8H, P8L, P8C
Daily: PDH, PDL, PDC
Weekly: PWH, PWL, PWC
Monthly: PMH, PML, PMC
Options: Fully customizable for timeframes shown, colors, formats, and labels.
5. Breach Lines
Tracks live market reactions (e.g., breakouts or fakeouts) per timeframe for the last previous high or low that was hit, highlighting these levels originating at the breached candle to indicate bias (color-coded).
Red: Bearish below
Green: Bullish above
H4: 4FOL, 4FOH, 4BO, 4BD
H8: 8FOL, 8FOH, 8BO, 8BD
D: dFOL, dFOH, dBO, dBD
W: wFOL, wFOH, wBO, wBD
M: mFOL, mFOH, mBO, mBD
Options: Fully customizable for timeframes shown, colors, formats, and labels.
Overall Options:
Toggle single feature groups on/off.
Customize H8 open/close time as an offset to UTC to be provider independent.
Colour settings con be adjusted for dark or bright backgrounds.
Higher Timeframe Use Case Examples
Example Use Case: Weekly Template Analysis
The Weekly Template is a core concept in Stacey Burke’s trading style. The analysis is conducted on the daily timeframe, focusing on the higher timeframe bias and identifying overextended conditions within the week—such as multiple breakouts and peak formations signaling potential reversals.
In this example, the candles are colored by the TrendPredator FO indicator, which highlights the state of individual candles. This allows for precise evaluation of both the trend state and the developing weekly template. It is a valuable tool for thesis generation before a trading session and for backtesting purposes.
Example Use Case: High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or breakdown closes occur near key monthly levels mid-week, signaling overextensions and potentially large parabolic moves. The key signal to look for is a breakout or breakdown close on a Wednesday. This is useful for thesis generation before a session and also for backtesting.
In this example, the TrendPredator FO indicator colors the candles to highlight individual candle states, particularly those that close in breakout or breakdown. Additionally, an indicator is shown on the chart shading every Wednesday, making it easier to visually identify the signals.
5 Star Alerts:
Alerts can be activated for this potential 5-Star setup constellation. The alert is triggered when there is a breakout or breakdown close on a Wednesday.
Further recommendations:
- Higher timeframe context: TPO or volume profile indicators can be used to gain an even better overview.
- Late session trading: Entries later in the session, such as during the 3rd hour of the NY session, offer better analysis and follow-through on setups.
- Entry confirmation: Momentum indicators like VWAP, Supertrend, or EMA are helpful for increasing precision. Additionally, tracking lower timeframe fakeouts can provide powerful confluence. To track those the TrendPredator Fakeout Highlighter (FO), that has been specifically developed for this can be of great help:
Limitations:
Data availability using TradingView has its limitations. The indicator leverages only the real-time data available for the specific timeframe being used. This means it cannot access data from timeframes lower than the one displayed on the chart. For example, if you are on a daily chart, it cannot use H8 data. Additionally, on very low timeframes, the historical availability of data might be limited, making higher timeframe signals unreliable.
To address this, the indicator automatically hides the affected columns in these specific situations, preventing false signals.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
The indicator does not provide final buy or sell signals but highlights zones for potential setups.
Users are fully responsible for their trading decisions and outcomes.
OHLC, Sessions & Key Levels [Orderflowing]Multi-Timeframe (+) OHLC, Sessions & Key Levels | Custom-Timeframe OHLC | Sessions Analysis | Market Key Levels
Built using Pine Script V5.
Introduction
The OHLC, Sessions & Key Levels Indicator is a tool designed for traders who want to integrate Multi-Timeframe (MTF) OHLC Data, Sessions Analysis, and Key Market Levels into their trading system.
This Indicator can help traders by automatically marking the OHLC, Sessions & Key Levels directly on the price chart, saving time furthermore potentially allowing for better judgement in their trading and risk management process.
Innovation and Inspiration
The Indicator draws from multiple concepts;
The OHLC levels across different timeframes, session-based analysis, and plotting potentially important and pivotal market levels.
Concept Inspiration from ICT-Traders / Market Maker Model Traders.
Use of Open-Source Code
Specific parts of this Indicator's code have been inspired by & further developed from publicly available code originally developed for the MetaTrader platform.
All such integrations have been wired to work within the TradingView environment, specifically using Pine Script Version 5.
Elements have been made to benefit the overall functionality, the code logic, to make sure it offers unique value to TradingView's users.
Core Features
OHLC MTF Analysis
Foundation
This component allows traders to track the Open, High, Low, and Close levels across different timeframes, ranging from intraday periods to yearly data.
Customization
Traders can adjust the bar offset, width, and colors of the OHLC bars, as well as display options. Option to highlight the Open/Close with labels and the High/Low with marks.
Application
The OHLC MTF component gives traders a clear view of important price levels, which can serve as support, resistance, or potential entry/exit points.
Main Trading Sessions & Custom Sessions
Starting Point
The Sessions component relies on the user-inputted key market sessions, defaults include New York, London, Asia, and optionally Sydney. Session Defaults to UTC.
Please Note: Adjust Time Zone in TradingView's Desktop App or Web Interface to use the sessions in correct local time.
Customization
Traders can adjust session names, session times, time zone, visibility, session colors, and session-specific high and low markers.
This allows us to visualize price movements during these selected periods.
Application
By highlighting different trading sessions, traders can potentially better time their trades, understanding when significant price movements usually occur. This can potentially be used to try and find patterns in a time-based method.
Key Levels
Customization
Traders can choose which key levels to display and adjust the visual style of these levels, including line width, style, and color.
Application
The Key Levels feature can help traders identify support and resistance levels that can serve as potential entry or exit points. Can be useful in market structure analysis by marking significant price levels based on different timeframes.
Designed for multi-timeframe analysis, allowing traders to track OHLC levels, session ranges, and key market levels.
It’s highly customizable, making it suitable across trading styles and charting setups, whether scalping, day trading, swing trading or longer term investing.
Multi-Timeframe (MTF) OHLC
Can be plotted as a Candlestick or Bar-Chart or Both
These can help traders keep an eye on price levels across multiple timeframes while allowing the actual chart to be on another timeframe than the displayed OHLC.
Example - OHLC on the Weekly Candle/Bar - Chart 4 Hourly Candles
While being on lower timeframes, the trader can keep an eye on how the OHLC candle is developing. ICT-Traders find the Daily (Default Setting) OHLC useful in analysis.
It can be customized to any timeframe the trader wishes to use.
Inspired by ICT-Traders / Market Maker Model Traders and Top-Down Analysis Style.
Combined with Session Analysis to view into the price behavior during specific trading sessions, could potentially be very useful for finding trading setups.
OHLC Levels
Creates lines based on user input - Can potentially be important reference points for trade setups / invalidation / confirmation, levels could be used as the HTF Origin.
Conclusion
The OHLC MTF, Sessions & Key Levels Indicator is a tool that combines multiple market analysis concepts into a single unique script. It offers another view of the market's behavior by combining OHLC data from a different timeframe, main trading sessions, and key levels.
Why Invite-Only?
The OHLC, Sessions & Key Levels Indicator is offered as invite-only because you receive a quality and customizable tool that combines multiple functions into one convenient script.
This Indicator stands out by being a complete and optimized trading tool based on three desirable components.
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Multi-Timeframe OHLC Analysis, Sessions Tracking & Key Levels
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Into One Customizable Indicator.
Disclaimer
While the Indicator offers a view of the OHLC price action on multiple timeframes, key levels & trading sessions, traders should not solely rely on it for trading decisions. As with all trading tools, it should be used as part of a complete trading strategy.
Multi Timeframe Moving Average Convergence Divergence {DCAquant}Overview
The MTF MACD indicator provides a unique view of MACD (Moving Average Convergence Divergence) and Signal Line dynamics across various timeframes. It calculates the MACD and Signal Line for each selected timeframe and aggregates them for analysis.
Key Features
MACD Calculation
Utilizes standard MACD calculations based on user-defined parameters like fast length, slow length, and signal smoothing.
Determines the difference between the MACD and Signal Line to identify convergence or divergence.
Multiple Timeframe Analysis
Allows users to select up to six different timeframes for analysis, ranging from minutes to days, providing a holistic view of market trends.
Calculates MACD and Signal Line for each timeframe independently.
Aggregated Analysis
Combines MACD and Signal Line values from multiple timeframes to derive a consolidated view.
Optionally applies moving average smoothing to aggregated MACD and Signal Line values for better clarity.
Position Identification
Determines the trading position (Long, Short, or Neutral) based on the relationship between MACD and Signal Line.
Considers the proximity of MACD and Signal Line to identify potential trading opportunities.
Visual Representation
Plots MACD and Signal Line on the price chart for visual analysis.
Utilizes color-coded backgrounds to indicate trading conditions (Long, Short, or Neutral) for quick interpretation.
Dynamic Table Display
Displays trading position alongside graphical indicators (rocket for Long, snowflake for Short, and star for Neutral) in a customizable table.
Offers flexibility in table placement and size for user preference.
How to Use
Parameter Configuration
Adjust parameters like fast length, slow length, and signal smoothing to fine-tune MACD calculations.
Select desired timeframes for analysis based on trading preferences and market conditions.
Interpretation
Monitor the relationship between MACD and Signal Line on the price chart.
Pay attention to color-coded backgrounds and graphical indicators in the table for actionable insights.
Decision Making
Consider entering Long positions when MACD is above the Signal Line and vice versa for Short positions.
Exercise caution during Neutral conditions, as there may be uncertainty in market direction.
Risk Management
Combine MTF MACD analysis with risk management strategies to optimize trade entries and exits.
Set stop-loss and take-profit levels based on individual risk tolerance and market conditions.
Conclusion
The Multi Timeframe Moving Average Convergence Divergence (MTF MACD) indicator offers a robust framework for traders to analyze market trends across multiple timeframes efficiently. By combining MACD insights from various time horizons and presenting them in a clear and actionable format, it empowers traders to make informed decisions and enhance their trading strategies.
Disclaimer
The Multi Timeframe Moving Average Convergence Divergence (MTF MACD) indicator provided here is intended for educational and informational purposes only. Trading in financial markets involves risk, and past performance is not indicative of future results. The use of this indicator does not guarantee profits or prevent losses.
Please be aware that trading decisions should be made based on your own analysis, risk tolerance, and financial situation. It is essential to conduct thorough research and seek advice from qualified financial professionals before engaging in any trading activity.
The MTF MACD indicator is a tool designed to assist traders in analyzing market trends and identifying potential trading opportunities. However, it is not a substitute for sound judgment and prudent risk management.
By using this indicator, you acknowledge that you are solely responsible for your trading decisions, and you agree to indemnify and hold harmless the developer and distributor of this indicator from any losses, damages, or liabilities arising from its use.
Trading in financial markets carries inherent risks, and you should only trade with capital that you can afford to lose. Exercise caution and discretion when implementing trading strategies, and consider seeking independent financial advice if necessary.
Frankie Candles Essentials [LuxAlgo]The Frankie Candles Essentials toolkit is a collection of essential features used by trader Frankie Candles. This toolkit focuses on the relationship between MTF oscillator divergences and volume profiles, allowing the detection of different kinds of reversals. Retracements from the "Golden Pocket" features are also included.
🔶 USAGE
When adding the script to your chart you will be prompted to select the calculation interval of the "Top-Down Volume Profile", simply click on your chart where you want the starting and ending points of the calculation interval.
🔹 Top-Down Volume Profile
The Top-Down Volume Profile is a classical fixed-range volume profile and highlights the amount of traded volume within equidistant price areas. The amount of areas is determined by the "Rows" setting (Note that the volume profile can use up to 250 rows).
The value area (VA) highlights the area where the specified percentage of the total volume is traded, that is the area with the most recorded trading activity relative to a selected percentage.
Finally, the point of control (POC) highlights the price level with the most trading activity.
🔹 Divergences
Users can highlight divergences made by oscillators on their charts. The toolkit includes three indicators such as RSI, MFI, and WaveTrend with MTF support, users can also select external oscillators but these will not support MTF divergence detection.
Once the Top-Down Volume Profile is set historical divergences will be affected by its value area (VA), with bearish divergences located above the upper VA or bullish divergences located under the lower VA being highlighted with a sauce can, a signature display stel of Frankie Candles.
Users can also filter out divergences based on the point of control (POC) using the "Filter According To POC" setting, with bearish divergences located below the POC or bullish divergences located above it being filtered out.
Do note that divergences are detected N bars after their occurrence, where N is the divergence lookback setting
🔹 Golden Pockets
The script includes an MTF Golden Pockets feature displaying Fibonacci retracements on the user chart, these can be used to identify optimal trade entries (OTE) or serve as support/resistance levels.
Golden Pockets are based on maximum/minimum prices in a window determined by the "Golden Pocket Lookback" setting, using longer-term lookbacks will return longer-term divergences, this will also be the case when using HTF golden pockets.
🔶 SETTINGS
🔹 Candle Coloring
Candle Coloring: Determine the candle coloring method used by the indicator. "Simple" will color the candles based on the candle body, while "Golden Pocket" will color candles using a gradient based on the golden pocket rolling maximum/minimum.
🔹 Top-Down Volume Profile
Top-Down Volume Profile: Enable Top-Down Volume Profile.
Rows: Amount of rows used by the Top-Down Volume Profile.
Width (%): Controls the histogram bar width as a percentage of the calculation window specified by the user set anchors.
Value Area (%): Area where the specified percentage of total volume is traded.
Extend To The Right: Extends the calculation window from the first anchor to the most recent bar.
🔹 MTF Divergences
Oscillator: Determines the oscillator and its length used for divergence detection. Options include "RSI", "MFI", "WaveTrend" and "External".
Divergence Lookback: Lookback period used to track oscillator tops/bottoms. Divergence will be detected n bars after an oscillator top/bottom, where n is the specified lookback period.
External Oscillator: External oscillator used for divergence detection if "External" is selected in the "Oscillator" dropdown menu, incompatible with Divergence Timeframe setting.
Divergence Timeframe: Timeframe used to calculate the selected oscillator and detect divergences. Incompatible with external oscillators.
Divergence From: Determines if price tops/bottoms evaluated to detect divergences are based on wicks (high/low price) or candle body (closing/opening price).
Filter According To POC: Filter displayed divergences based on the Top-Down Volume Profile POC.
Show Hidden: Display hidden divergences.
Show Sauce: Display canned source emoji on specific divergences.
🔹 Golden Pockets
Golden Pocket Lookback: Period used to calculate golden pockets, options include "Short-Term", "Medium-Term", and "Long-Term".
Extend: Extend Golden Pockets lines from the most recent bar by the specified amount of bars.
Golden Pocket Timeframe: Timeframe used to calculate the Golden Pockets.
Retracements: Display specific retracements, users can also control the ratio from the provided numerical setting.
Show Coordinate Line: Display a line connecting the top/bottom used to calculate the Golden Pockets.
Invert: Invert top/bottom for the Golden Pockets calculation.
CM MACD Custom Indicator - Multiple Time Frame - V2***For a Detailed Video Overview Showing all of the Settings...
Click HERE to View Video
New _CM_MacD_Ult_MTF _V2 Update 07-28-2021
Thanks to @SKTennis for help in Updating code to V2
Added Groups to Settings Pane.
Added Color Plots to Settings Pane
Switched MTF Logic to turn ON/OFF automatically w/ TradingView's Built in Feature
Updated Color Transparency plots to work in future update
Added Ability to Turn ON/OFF Show MacD & Signal Line
Added Ability to Turn ON/OFF Show Histogram
Added Ability to Change MACD Line Colors Based on Trend
Added Ability to Highlight Price Bars Based on Trend
Added Alerts to Settings Pane.
Customized how Alerts work. Must keep Checked in Settings Pane, and When you go to Alerts Panel, Change Symbol to Indicator (CM_Ult_MacD_MTF_V2)
Customized Alerts to Show Symbol, TimeFrame, Closing Price, MACD Crosses Up & MACD Crosses Down Signals in Alert
Alerts are Pre-Set to only Alert on Bar Close
See Video for Detailed Overview
New Updates Coming Soon!!!
***Please Post Feedback and Any Feature Requests in the Comments Section Below***
Black Flamingo Trend + contextThe Black Flamingo Trend+Context is an combined display of the two indicators BF Trend and BF Context.
Using this combination, more information can be read by analysis the cross up and down of the trend with the short time or long time context.
Generally, a cross up means that the price is likely to go up, and the opposite for a cross down.
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The Black Flamingo Trend display on the chart the following components :
- A Trend oscillator that is using price and volume information to inform on changes in trends.
- Overbought and Oversell zones, to rapidly see when the price is making strong moves in price and volume .
- An automatic divergence computation ("D" displayed on the chart) between the oscillator and the price.
- A Multitimeframe Trend oscillator (MTF) that compute the Trend in multiple superior timeframe to have an information of the convergence of the signals. For example, a MTF in oversell zone means that every trend in multiple timeframes are in oversell zone, so a reversal is likely to happens.
Trend oscillator is a new tool that aims to provide information on trend exhaustion or trend changes.
In first, the oscillator is computed using the past prices and volumes. So to make the oscillator stay in overbought and oversell zones, there must be strong movement and volume .
There is several way to use this oscillator in conjonction of the other Black Flamingo indicators :
- When you are confident that the price is in range (looking the Black Flamingo Context), every time the oscillator is in overbought or oversell zone consist in entry time of trade
- When you are confident that the price is in trend (looking the Black Flamingo Context), you have to write a support/resistance line of the oscillator. A reversal signal is done when the support/resistance is breaked and a divergence is printed. The reversal signal can be confirmed by the Black Flamingo Overlay if there is some 3D Breaker targets.
- When there is no visible support or resistance in the oscillator, it likely means that the price is in range.
There is three parameters to configure the Black Flamingo Trend :
- Trend period : That's the number of candle the oscillator is looking to display its value. Use a low period to catch short term entry price, and high period to add more safety on the entry prices.
- Trend multi timeframe factor : That's a factor that decide if higher timeframe impact more the MTF than lower timeframes. Higher means the MTF will display more the higher timeframes
- Trend multi timeframe level : that's the number of superior timeframe that will be summed up when computing the MTF
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The Black Flamingo Context display on the chart the following components :
- A short term trend analysis line (green)
- A long term trend analysis line (white)
- Two level of confidence to split range from uptrend and downtrend
The trend analysis line is a new tool that aims to provide information on the current price trending status.
Each line (long and short term) print the deviation from a perfect range of the price.
If the value is over the confidence level (yellow zone), the price was considered as trending in short or long term.
If the value is under the confidence level, the price was considered as ranging in short or long term.
There is several ways to analyse these lines :
- When the long term line is trending, if there is a cross-up of the short term line, it means that the trend is accelerating (in parabolic way)
- When the short-term line cross down the long-term line, it means that the trend is exhausting.
- If the two lines are in opposite zone (short term says up-trend and long term says sown-trend), it means that the market is ranging with volatility
- if the short-term line is trending but the long-term line is ranging, it means that a potential counter-trade can be done (the short-term line will very likely return to range zone)
There is one parameter to configure the Black Flamingo Context:
- Context confidence level: That's the standard deviation level to consider if the price is in range or in trade. The standard value of 1.96 means 68% of chance that the price is ranging. 3.92 corresponds to 95% of change and 5.88 to 99.7%
Supertrend + MACD with Advanced FiltersDetailed Guide
1. Indicator Overview
Purpose:
This enhanced indicator combines Supertrend and MACD to signal potential trend changes. In addition, it now includes several extra filters for more reliable signals:
Multi-Timeframe (MTF) Confirmation: Checks a higher timeframe’s trend.
ADX (Momentum) Filter: Ensures the market is trending strongly.
Dynamic Factor Adjustment: Adapts the Supertrend sensitivity to current volatility.
Volume Filter: Verifies that current volume is above average.
Each filter can be enabled or disabled according to your preference.
How It Works:
The Supertrend calculates dynamic support/resistance levels based on ATR and an adjustable factor, while MACD identifies momentum shifts via its crossovers. The additional filters then confirm whether the conditions meet your criteria for a trend change. If all enabled filters align, the indicator plots a shape and triggers an alert.
2. Supertrend Component with Dynamic Factor
Base Factor & ATR Period:
The Supertrend uses these inputs to compute its dynamic bands.
Dynamic Factor Toggle:
When enabled, the factor is adjusted by comparing the current ATR to its simple moving average. This makes the indicator adapt to higher or lower volatility conditions, helping to reduce false signals.
3. MACD Component
Parameters:
Standard MACD settings (Fast MA, Slow MA, Signal Smoothing) determine the responsiveness of the MACD line. Crossovers between the MACD line and its signal line indicate potential trend reversals.
4. Multi-Timeframe (MTF) Filter
Function:
If enabled, the indicator uses a higher timeframe’s simple moving average (SMA) to confirm the prevailing trend.
Bullish Confirmation: The current close is above the higher timeframe SMA.
Bearish Confirmation: The current close is below the higher timeframe SMA.
5. ADX Filter (Momentum)
Custom Calculation:
Since the built-in ta.adx function may not be available, a custom ADX is calculated. This involves:
Determining positive and negative directional movements (DMs).
Smoothing these values to obtain +DI and -DI.
Calculating the DX and then smoothing it to yield the ADX.
Threshold:
Only signals where the ADX exceeds the set threshold (default 20) are considered valid, ensuring that the market is trending strongly enough.
6. Volume Filter
Function:
Checks if the current volume exceeds the average volume (SMA) multiplied by a specified factor. This helps confirm that a price move is supported by sufficient trading activity.
7. Combined Signal Logic & Alerts
Final Signal:
A bullish signal is generated when:
MACD shows a bullish crossover,
Supertrend indicates an uptrend,
And all enabled filters (MTF, ADX, volume) confirm the signal.
The bearish signal is generated similarly in the opposite direction.
Alerts:
Alert conditions are set so that TradingView can notify you via pop-up, email, or SMS when these combined conditions are met.
8. User Adjustments
Toggle Filters:
Use the on/off switches for MTF, ADX, and Volume filters as needed.
Parameter Tuning:
Adjust the ATR period, base factor, higher timeframe settings, ADX period/threshold, and volume multiplier to match your trading style and market conditions.
Backtesting:
Always backtest your settings to ensure that they perform well with your strategy.
Linear Regression Channel 200█ OVERVIEW
This a simplified version of linear regression channel which use length 200 instead of traditional length 100.
█ FEATURES
Color change depends light / dark mode.
█ LIMITATIONS
Limited to source of closing price and max bars back is 1500.
█ SIMILAR
Regression Channel Alternative MTF
Regression Channel Alternative MTF V2
