Webhook Starter Kit [HullBuster]
Introduction
This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins.
The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities.
This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started.
To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work!
This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun.
By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of.
Design
This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows:
1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3.
2. - ALMA in the higher time frame specified in Section 2 Signal Line Period.
3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period.
4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period.
5. - DEMA in the higher time frame specified in Section 2 Trend Line Period.
The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines.
Three oscillators are created as follows:
1. Stochastic - In the chart time frame. Used to enter forward pyramids.
2. Stochastic - In the Trend period. Used to detect exit conditions.
3. Zscore - In the Signal period. Used to detect exit conditions.
The Stochastics are configured identically other than the time frame. The period is set in Section 2.
Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7.
The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value.
This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value.
It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation.
How does it work
The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit:
1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward).
2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust.
3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section.
4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit.
Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled.
There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart.
There are seven selectable Trading Modes available from the drop down in Section 1:
1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart.
2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart.
3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated.
4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading.
5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero.
6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo).
7. No Trade. Useful when setting up the trend lines and the entry and exit is not important.
Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit.
If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted.
Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to.
Webhook Integration
The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint.
Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to.
Here is an excerpt of the fields I use in my webhook signal:
"broker_id": "kraken",
"account_id": "XXX XXXX XXXX XXXX",
"symbol_id": "XMRUSD",
"action": "{{strategy.order.action}}",
"strategy": "{{strategy.order.id}}",
"lots": "{{strategy.order.contracts}}",
"price": "{{strategy.order.price}}",
"comment": "{{strategy.order.alert_message}}",
"timestamp": "{{time}}"
Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity.
Setup
The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete.
There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup.
Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero.
Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels.
Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached.
Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart.
Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values.
Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line.
Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations.
Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7.
Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency.
Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side.
Example Settings
To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange)
1. Select XBTUSD Kraken as the chart symbol.
2. On the properties tab set the Order Size to: 0.01 Bitcoin
3. On the properties tab set the Pyramiding to: 12
4. In Section 1: Select “Crypto” for the Trading Model
5. In Section 1: Input 2000 for the Minimum Profit
6. In Section 1: Input 0 for the Stop Offset (No Stop)
7. In Section 1: Input 10 for the Tick Scalar
8. In Section 1: Input 1000 for the Price Normalizer
9. In Section 1: Input 2000 for the Pyramid Minimum Span
10. In Section 1: Check mark the Position Bale Out
11. In Section 2: Input 60 for the Signal Line Period
12. In Section 2: Input 1440 for the Trend Line Period
13. In Section 2: Input 5 for the Fast Alma Length
14. In Section 2: Input 22 for the Fast LinReg Length
15. In Section 2: Input 100 for the Slow LinReg Length
16. In Section 2: Input 90 for the Trend Line Length
17. In Section 2: Input 14 Stochastic Length
18. In Section 3: Input 9 Fast Cross Length
19. In Section 3: Input 24 Slow Cross Length
20. In Section 3: Input 8 Fast EMA Length
21. In Section 3: Input 10 Fast EMA Rise NetChg
22. In Section 3: Input 1 Fast EMA Rise ROC
23. In Section 3: Input 10 Fast EMA Fall NetChg
24. In Section 3: Input 1 Fast EMA Fall ROC
25. In Section 4: Check mark the Long Natural Exit
26. In Section 4: Check mark the Long Signal Exit
27. In Section 4: Check mark the Long Price Event Exit
28. In Section 4: Check mark the Long Stochastic Exit
29. In Section 5: Check mark the Short Natural Exit
30. In Section 5: Check mark the Short Signal Exit
31. In Section 5: Check mark the Short Price Event Exit
32. In Section 5: Check mark the Short Stochastic Exit
33. In Section 6: Input 120 Rise Event NetChg
34. In Section 6: Input 1 Rise Event ROC
35. In Section 6: Input 5 Min Above Zero ZScore
36. In Section 6: Input 120 Fall Event NetChg
37. In Section 6: Input 1 Fall Event ROC
38. In Section 6: Input 5 Min Below Zero ZScore
In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down.
The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change.
Feel free to PM me with any questions related to this script. Thank you and happy trading!
CFTC RULE 4.41
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
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Auto Phivots S/R [DM]Greetings colleagues
Today I share the classic pivot points indicator
Added options:
Standard levels
Fibonacci levels "up to 261'8"
Logarithmic scale option
//Pivot Points Standard
//Pivot Points Standard — is a technical indicator that is used to determine the levels
//at which price may face support or resistance. The Pivot Points indicator consists of
//a pivot point (PP) level and several support (S) and resistance (R) levels.
//
//Calculation
//PP, resistance and support values are calculated in different ways, depending on
//the type of the indicator, specified by the Type field in indicator inputs. To
//calculate PP and support/resistance levels, the values OPENcurr, OPENprev, HIGHprev,
//LOWprev, CLOSEprev are used, which are the values of the current open and previous
//open, high, low and close, respectively, on the indicator resolution. The indicator
//resolution is set by the input of the Pivots Timeframe. If the Pivots Timeframe is set
//to AUTO (the default value), then the increased resolution is determined by the
//following algorithm:
//
//for intraday resolutions up to and including 15 min, DAY (1D) is used
//for intraday resolutions more than 15 min, WEEK (1W) is used
//for daily resolutions MONTH is used (1M)
//for weekly and monthly resolutions, 12-MONTH (12M) is used
iBagging Multi-IndicatorHello traders!
You know, machine learning is a very popular theme nowadays. The best tricks and methods were borrowed from Math and Computer Science to improve and create ML algorithms. As you know, one of our analysts is a great fan of ML, thus he decided to borrow on very powerful method from ML.
We have taken 5 indicators, tuned them a bit and make them to vote. If the number of voters is more than the threshold the the bullish/bearish signal shows. It's called Bagging, when some algorithms are voting to classify or to regress. We use EMA Cross with NATR filter, BB Width, divergency detector and bull bear power. This bundle in my opinion is one of the best to define entries. Check it up in you daily trading staff. You shouldn't forget about tuning the parameters on different coins and timeframes. We checked it on 1H BTCUSDT and default parameters are for this combination. I hope you'll enjoy my masterpiece.
How to use it?
Just add it to the chart and check up signals.
Trend Follow SystemTrend following algorithm:
We take 1- 5 Fibonacci Ema values. 21, 34, 55, 89, 144
2- We normalize the changes of these values over time between 1-100.
3- We take the ema value of 1 length so that it does not follow a horizontal course after the normalization process.
4- In order not to experience too much change, we take the value of sma with a length of 5.
5-We think that when all values are 100, the trend is up, when all values are 0, the trend is down, otherwise the trend is horizontal.
[blackcat] L2 Ehlers Adaptive Jon Andersen R-Squared IndicatorLevel: 2
Background
@pips_v1 has proposed an interesting idea that is it possible to code an "Adaptive Jon Andersen R-Squared Indicator" where the length is determined by DCPeriod as calculated in Ehlers Sine Wave Indicator? I agree with him and starting to construct this indicator. After a study, I found "(blackcat) L2 Ehlers Autocorrelation Periodogram" script could be reused for this purpose because Ehlers Autocorrelation Periodogram is an ideal candidate to calculate the dominant cycle. On the other hand, there are two inputs for R-Squared indicator:
Length - number of bars to calculate moment correlation coefficient R
AvgLen - number of bars to calculate average R-square
I used Ehlers Autocorrelation Periodogram to produced a dynamic value of "Length" of R-Squared indicator and make it adaptive.
Function
One tool available in forecasting the trendiness of the breakout is the coefficient of determination (R-squared), a statistical measurement. The R-squared indicates linear strength between the security's price (the Y - axis) and time (the X - axis). The R-squared is the percentage of squared error that the linear regression can eliminate if it were used as the predictor instead of the mean value. If the R-squared were 0.99, then the linear regression would eliminate 99% of the error for prediction versus predicting closing prices using a simple moving average.
When the R-squared is at an extreme low, indicating that the mean is a better predictor than regression, it can only increase, indicating that the regression is becoming a better predictor than the mean. The opposite is true for extreme high values of the R-squared.
To make this indicator adaptive, the dominant cycle is extracted from the spectral estimate in the next block of code using a center-of-gravity ( CG ) algorithm. The CG algorithm measures the average center of two-dimensional objects. The algorithm computes the average period at which the powers are centered. That is the dominant cycle. The dominant cycle is a value that varies with time. The spectrum values vary between 0 and 1 after being normalized. These values are converted to colors. When the spectrum is greater than 0.5, the colors combine red and yellow, with yellow being the result when spectrum = 1 and red being the result when the spectrum = 0.5. When the spectrum is less than 0.5, the red saturation is decreased, with the result the color is black when spectrum = 0.
Construction of the autocorrelation periodogram starts with the autocorrelation function using the minimum three bars of averaging. The cyclic information is extracted using a discrete Fourier transform (DFT) of the autocorrelation results. This approach has at least four distinct advantages over other spectral estimation techniques. These are:
1. Rapid response. The spectral estimates start to form within a half-cycle period of their initiation.
2. Relative cyclic power as a function of time is estimated. The autocorrelation at all cycle periods can be low if there are no cycles present, for example, during a trend. Previous works treated the maximum cycle amplitude at each time bar equally.
3. The autocorrelation is constrained to be between minus one and plus one regardless of the period of the measured cycle period. This obviates the need to compensate for Spectral Dilation of the cycle amplitude as a function of the cycle period.
4. The resolution of the cyclic measurement is inherently high and is independent of any windowing function of the price data.
Key Signal
DC --> Ehlers dominant cycle.
AvgSqrR --> R-squared output of the indicator.
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
Fibonacci Extension / Retracement / Pivot Points by DGTFɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴᴛɪᴏɴ / Rᴇᴛʀᴀᴄᴍᴇɴᴛ / Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ
This study combines various Fibonacci concepts into one, and some basic volume and volatility indications
█ Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ — is a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several support (S) and resistance (R) levels. PP, resistance and support values are calculated in different ways, depending on the type of the indicator, this study implements Fibonacci Pivot Points
The indicator resolution is set by the input of the Pivot Points TF (Timeframe). If the Pivot Points TF is set to AUTO (the default value), then the increased resolution is determined by the following algorithm:
for intraday resolutions up to and including 5 min, 4HOURS (4H) is used
for intraday resolutions more than 5 min and up to and including 45 min, DAY (1D) is used
for intraday resolutions more than 45 min and up to and including 4 hour, WEEK (1W) is used
for daily resolutions MONTH is used (1M)
for weekly resolutions, 3-MONTH (3M) is used
for monthly resolutions, 12-MONTH (12M) is used
If the Pivot Points TF is set to User Defined, users may choose any higher timeframe of their preference
█ Fɪʙ Rᴇᴛʀᴀᴄᴇᴍᴇɴᴛ — Fibonacci retracements is a popular instrument used by technical analysts to determine support and resistance areas. In technical analysis, this tool is created by taking two extreme points (usually a peak and a trough) on the chart and dividing the vertical distance by the key Fibonacci coefficients equal to 23.6%, 38.2%, 50%, 61.8%, and 100%. This study implements an automated method of identifying the pivot lows/highs and automatically draws horizontal lines that are used to determine possible support and resistance levels
█ Fɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴꜱɪᴏɴꜱ — Fibonacci extensions are a tool that traders can use to establish profit targets or estimate how far a price may travel AFTER a retracement/pullback is finished. Extension levels are also possible areas where the price may reverse. This study implements an automated method of identifying the pivot lows/highs and automatically draws horizontal lines that are used to determine possible support and resistance levels.
IMPORTANT NOTE: Fibonacci extensions option may require to do further adjustment of the study parameters for proper usage. Extensions are aimed to be used when a trend is present and they aim to measure how far a price may travel AFTER a retracement/pullback. I will strongly suggest users of this study to check the education post for further details, where to use extensions and where to use retracements
Important input options for both Fibonacci Extensions and Retracements
Deviation, is a multiplier that affects how much the price should deviate from the previous pivot in order for the bar to become a new pivot. Increasing its value is one way to get higher timeframe Fib Retracement Levels
Depth, affects the minimum number of bars that will be taken into account when building
█ Volume / Volatility Add-Ons
High Volatile Bar Indication
Volume Spike Bar Indication
Volume Weighted Colored Bars
This study benefits from build-in auto fib retracement tv study and modifications applied to get extentions and also to fit this combo
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
(IK) Base Break BuyThis strategy first calculates areas of support (bases), and then enters trades if that support is broken. The idea is to profit off of retracement. Dollar-cost-averaging safety orders are key here. This strategy takes into account a .1% commission, and tests are done with an initial capital of 100.00 USD. This only goes long.
The strategy is highly customizable. I've set the default values to suit ETH/USD 15m. If you're trading this on another ticker or timeframe, make sure to play around with the settings. There is an explanation of each input in the script comments. I found this to be profitable across most 'common sense' values for settings, but tweaking led to some pretty promising results. I leaned more towards high risk/high trade volume.
Always remember though: historical performance is no guarantee of future behavior . Keep settings within your personal risk tolerance, even if it promises better profit. Anyone can write a 100% profitable script if they assume price always eventually goes up.
Check the script comments for more details, but, briefly, you can customize:
-How many bases to keep track of at once
-How those bases are calculated
-What defines a 'base break'
-Order amounts
-Safety order count
-Stop loss
Here's the basic algorithm:
-Identify support.
--Have previous candles found bottoms in the same area of the current candle bottom?
--Is this support unique enough from other areas of support?
-Determine if support is broken.
--Has the price crossed under support quickly and with certainty?
-Enter trade with a percentage of initial capital.
-Execute safety orders if price continues to drop.
-Exit trade at profit target or stop loss.
Take profit is dynamic and calculated on order entry. The bigger the 'break', the higher your take profit percentage. This target percentage is based on average position size, so as safety orders are filled, and average position size comes down, the target profit becomes easier to reach.
Stop loss can be calculated one of two ways, either a static level based on initial entry, or a dynamic level based on average position size. If you use the latter (default), be aware, your real losses will be greater than your stated stop loss percentage . For example:
-stop loss = 15%, capital = 100.00, safety order threshold = 10%
-you buy $50 worth of shares at $1 - price average is $1
-you safety $25 worth of shares at $0.9 - price average is $0.966
-you safety $25 worth of shares at $0.8. - price average is $0.925
-you get stopped out at 0.925 * (1-.15) = $0.78625, and you're left with $78.62.
This is a realized loss of ~21.4% with a stop loss set to 15%. The larger your safety order threshold, the larger your real loss in comparison to your stop loss percentage, and vice versa.
Indicator plots show the calculated bases in white. The closest base below price is yellow. If that base is broken, it turns purple. Once a trade is entered, profit target is shown in silver and stop loss in red.
(IK) Grid ScriptThis is my take on a grid trading strategy. From Investopedia:
"Grid trading is most commonly associated with the foreign exchange market. Overall the technique seeks to capitalize on normal price volatility in an asset by placing buy and sell orders at certain regular intervals above and below a predefined base price."
This strategy is best used on sideways markets, without a definitive up or down major trend. Because it doesn't rely on huge vertical movement, this strategy is great for small timeframes. It only goes long. I've set initial_capital to 100 USD. default_qty_value should be your initial capital divided by your amount of grid lines. I'm also assuming a 0.1% commission per trade.
Here's the basic algorithm:
- Create a grid based on an upper-bound (strong resistance) and a lower-bound (strong support)
- Grid lines are spaced evenly between these two bounds. (I recommend anywhere between 5-10 grid lines, but this script lets you use up to 15. More gridlines = more/smaller trades)
- Identify nearest gridline above and below current price (ignoring the very closest grid line)
- If price crosses under a near gridline, buy and recalculate near gridlines
- If price crosses over a near gridline, sell and recalculate near gridlines
- Trades are entered and exited based on a FIFO system. So if price falls 3 grid lines (buy-1, buy-2, buy-3), and subsequently crosses above one grid line, only the first trade will exit (sell-1). If it falls again, it will enter a new trade (buy-4), and if it crosses above again it will sell the original second trade (sell-2). The amount of trades you can be in at once are based on the amount of grid lines you have.
This strategy has no built-in stop loss! This is not a 'set-it-and-forget-it" script. Make sure that price remains within the bounds of your grid. If prices exits above the grid, you're in the money, but you won't be making any more trades. If price exits below the grid, you're 100% staked in whatever you happen to be trading.
This script is more complicated than my last one, but should be more user friendly. Make sure to correctly set your lower-bound and upper-bound based on strong support and resistance (the default values for these are probably going to be meaningless). If you change your "Grid Quantity" (amount of grid lines) make sure to also change your 'Order Size' property under settings for proper test results (or default_qty_value in the strategy() declaration).
Repeated Median Regression ChannelThis script uses the Repeated Median (RM) estimator to construct a linear regression channel and thus offers an alternative to the available codes based on ordinary least squares.
The RM estimator is a robust linear regression algorithm. It was proposed by Siegel in 1982 (1) and has since found many applications in science and engineering for linear trend estimation and data filtering.
The key difference between RM and ordinary least squares methods is that the slope of the RM line is significantly less affected by data points that deviate strongly from the established trend. In statistics, these points are usually called outliers, while in the context of price data, they are associated with gaps, reversals, breaks from the trading range. Thus, robustness to outlier means that the nascent deviation from a predetermined trend will be more clearly seen in the RM regression compared to the least-squares estimate. For the same reason, the RM model is expected to better depict gaps and trend changes (2).
Input Description
Length : Determines the length of the regression line.
Channel Multiplier : Determines the channel width in units of root-mean-square deviation.
Show Channel : If switched off , only the (central) regression line is displayed.
Show Historical Broken Channel : If switched on , the channels that were broken in the past are displayed. Note that a certain historical broken channel is shown only when at least Length / 2 bars have passed since the last historical broken channel.
Print Slope : Displays the value of the current RM slope on the graph.
Method
Calculation of the RM regression line is done as follows (1,3):
For each sample point ( t (i), y (i)) with i = 1.. Length , the algorithm calculates the median of all the slopes of the lines connecting this point to the other Length -1 points.
The regression slope is defined as the median of the set of these median slopes.
The regression intercept is defined as the median of the set { y (i) – m * t (i)}.
Computational Time
The present implementation utilizes a brute-force algorithm for computing the RM-slope that takes O ( Length ^2) time. Therefore, the calculation of the historical broken channels might take a relatively long time (depending on the Length parameter). However, when the Show Historical Broken Channel option is off, only the real-time RM channel is calculated, and this is done quite fast.
References
1. A. F. Siegel (1982), Robust regression using repeated medians, Biometrika, 69 , 242–244.
2. P. L. Davies, R. Fried, and U. Gather (2004), Robust signal extraction for on-line monitoring data, Journal of Statistical Planning and Inference 122 , 65-78.
3. en.wikipedia.org
Tic Tac Toe (For Fun)Hello All,
I think all of you know the game "Tic Tac Toe" :) This time I tried to make this game, and also I tried to share an example to develop a game script in Pine. Just for fun ;)
Tic Tac Toe Game Rules:
1. The game is played on a grid that's 3 squares by 3 squares.
2. You are "O", the computer is X. Players take turns putting their marks in empty squares.
3. if a player makes 3 of her marks in a row (up, down, across, or diagonally) the he is the winner.
4. When all 9 squares are full, the game is over (draw)
So, how to play the game?
- The player/you can play "O", meaning your mark is "O", so Xs for the script. please note that: The script plays with ONLY X
- There is naming for all squears, A1, A2, A3, B1, B2, B3, C1, C2, C3. you will see all these squares in the options.
- also You can set who will play first => "Human" or "Computer"
if it's your turn to move then you will see "You Move" text, as seen in the following screenshot. for example you want to put "O" to "A1" then using options set A1 as O
How the script play?
it uses MinMax algorithm with constant depth = 4. And yes we don't have option to make recursive functions in Pine at the moment so I made four functions for each depth. this idea can be used in your scripts if you need such an algorithm. if you have no idea about MinMax algorithm you can find a lot of articles on the net :)
The script plays its move automatically if its turn to play. you will just need to set the option that computer played (A1, C3, etc)
if it's computer turn to play then it calculates and show the move it wants to play like "My Move : B3 <= X" then using options you need to set B3 as X
Also it checks if the board is valid or not:
I have tested it but if you see any bug let me know please
Enjoy!
[blackcat] L2 Ehlers Autocorrelation PeriodogramLevel: 2
Background
John F. Ehlers introduced Autocorrelation Periodogram in his "Cycle Analytics for Traders" chapter 8 on 2013.
Function
Construction of the autocorrelation periodogram starts with the autocorrelation function using the minimum three bars of averaging. The cyclic information is extracted using a discrete Fourier transform (DFT) of the autocorrelation results. This approach has at least four distinct advantages over other spectral estimation techniques. These are:
1. Rapid response. The spectral estimates start to form within a half-cycle period of their initiation.
2. Relative cyclic power as a function of time is estimated. The autocorrelation at all cycle periods can be low if there are no cycles present, for example, during a trend. Previous works treated the maximum cycle amplitude at each time bar equally.
3. The autocorrelation is constrained to be between minus one and plus one regardless of the period of the measured cycle period. This obviates the need to compensate for Spectral Dilation of the cycle amplitude as a function of the cycle period.
4. The resolution of the cyclic measurement is inherently high and is independent of any windowing function of the price data.
The dominant cycle is extracted from the spectral estimate in the next block of code using a center-of-gravity (CG) algorithm. The CG algorithm measures the average center of two-dimensional objects. The algorithm computes the average period at which the powers are centered. That is the dominant cycle. The dominant cycle is a value that varies with time. The spectrum values vary between 0 and 1 after being normalized. These values are converted to colors. When the spectrum is greater than 0.5, the colors combine red and yellow, with yellow being the result when spectrum = 1 and red being the result when the spectrum = 0.5. When the spectrum is less than 0.5, the red saturation is decreased, with the result the color is black when spectrum = 0.
Key Signal
DominantCycle --> Dominant Cycle
Period --> Autocorrelation Periodogram Array
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 49th script for Blackcat1402 John F. Ehlers Week publication.
Courtesy of @RicardoSantos for RGB functions.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Trend-Range IdentifierTrend trading algorithms fail in ranging market and Swing trading algorithm fail in trending market. Purpose of this indicator is to identify if the instrument is trending or ranging so that you can apply appropriate trading algorithm for the market.
Process:
ATR is calculated based on the input parameter atrLength
Range/Channel containing upLine and downLine is calculated by adding/subtracting atrMultiplier * atr to close price.
This range/channel will remain same until the price breaks either upLine or downLine.
Once price crosses one among upLine and downLine, then new upLine/downLine is calculated based on latest close price.
If price breaks upLine, the trend is considered to be up until the next line break or no lines are broken for rangeLength bars. During this state, candles are colored in lime and upLine/downLine are colored in green.
If price breaks downLine, the trend is considered to be down until the next line break or no lines are broken for rangeLength bars. During this state, candles are colored in orange and upLine/downLine are colored in red.
If close price does not break either upLine or downLine for rangeLength bars, then the instrument is considered to be in range. During this state, candles are colored in silver and upLine/downLine are colored in purple.
In ranging duration, we display one among Keltner Channel, Bollinger Band or Donchian Band as per input parameter : rangeChannel . Other parameters used for calculation are rangeLength and stdDev
I have not fully optimized parameters. Suggestions and feedback welcome.
Dynamic Dots Dashboard (a Cloud/ZLEMA Composite)The purpose of this indicator is to provide an easy-to-read binary dashboard of where the current price is relative to key dynamic supports and resistances. The concept is simple, if a dynamic s/r is currently acting as a resistance, the indicator plots a dot above the histogram in the red box. If a dynamic s/r is acting as support, a dot is plotted in the green box below.
There are some additional features, but the dot graphs are king.
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KEY:
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Currently the dynamic s/r's being used in the dot plots are:
Ichimoku Cloud:
Tenkan (blue)
Kijun (pink)
Senkou A (red)
Senkou B (green)
ZLEMA (Zero Lag Exponential Moving Average)
99 ZLEMA (lavender)
200 ZLEMA (salmon)
You'll see a dashed line through the middle of the resistances section (red) and supports section (green). Cloud indicators are plotted above the dashed line, and ZLEMA's are below.
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How it Works - Visual
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As stated in the intro - if a dynamic s/r is currently above the current price and acting as a resistance, the indicator plots a dot above the histogram in the red box. If a dynamic s/r is acting as support, a dot is plotted in the green box below. Additionally, there is an optional histogram (default is on) that will further visualize this relationship. The histogram is a simple summation of the resistances above and the supports below.
Here's a visual to assist with what that means. This chart includes all of those dynamic s/r's in the dynamic dot dashboard (the on-chart parts are individually added, not part of this tool).
You can see that as a dynamic support is lost, the corresponding dot is moved from the supports section at the bottom (green), to the resistances section at the top (red). The opposite being true as resistances are being overtaken (broken resistances are moved to the support section (red)). You can see that the raw chart is just... a mess. Which kinda of accentuates one of the key goals of this indicator: to get all that dynamic support info without a mess of a chart like that.
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How To Use It
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There are a lot of ways to use this information, but the most notable of which is to detect shifts in the market cycle.
For this example, take a look at the dynamic s/r dots in the resistances category (red background). You can see clearly that there are distinctive blocks of high density dots that have clear beginnings and ends. When we transition from a high density of dots to none in resistances, that means we are flipping them as support and entering a bull cycle. On the other hand, when we go from low density of dots as resistances to high density, we're pivoting to a bear cycle. Easy as that, you can quickly detect when market cycles are beginning or ending.
Alternatively, you can add your preferred linear SR's, fibs, etc. to the chart and quickly glance at the dashboard to gauge how dynamic SR's may be contributing to the risk of your trade.
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Who It's For
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New traders: by looking at dot density alone, you can use Dot Dynamics to spot transitionary phases in market cycles.
Experienced traders: keep your charts clean and the information easy to digest.
Developers: I created this originally as a starting point for more complex algos I'm working on. One algo is reading this dot dashboard and taking a position size relative to the s/r's above and below. Another cloud algo is using the results as inputs to spot good setups.
Colored Bars
There is an option (off by default, shown in the headline image above) to fill the bar colors based on how many dynamic s/r's are above or below the current price. This can make things easier for some users, confusing for others. I defaulted them to off as I don't want colors to confuse the primary value proposition of the indicators, which is the dot heat map. You can turn on colored bars in the settings.
One thing to note with the colored bars: they plot the color purely by the dot densities. Random spikes in the gradient colors (i.e. red to lime or green) can be a useful thing to notice, as they commonly occur at places where the price is bouncing between dynamic s/r's and can indicate a paradigm shift in the market cycle.
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Timeframes and Assets
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This can be used effectively on all assets (stocks, crypto, forex, etc) and all time frames. As always with any indicator, the higher TF's are generally respected more than lower TF's.
Thanks for checking it out! I've been trading crypto for years and am just now beginning to publish my ideas, secret-sauce scripts and handy tools (like this one). If you enjoyed this indicator and would like to see more, a like and a follow is greatly appreciated 😁.
Price levelsThanks to the developers for adding arrays to TradingView. This gives you more freedom in Pine Script coding.
I have created an algorithm that draws support and resistance levels on a chart. The algorithm can be easily customized as you need.
This algorithm can help both intuitive and system traders. Intuitive traders just look at the drawn lines. For system traders, the "levels" array stores all level values. Thus, you can use these values for algorithmic trading.
McGinley Dynamic (Improved) - John R. McGinley, Jr.For all the McGinley enthusiasts out there, this is my improved version of the "McGinley Dynamic", originally formulated and publicized in 1990 by John R. McGinley, Jr. Prior to this release, I recently had an encounter with a member request regarding the reliability and stability of the general algorithm. Years ago, I attempted to discover the root of it's inconsistency, but success was not possible until now. Being no stranger to a good old fashioned computational crisis, I revisited it with considerable contemplation.
I discovered a lack of constraints in the formulation that either caused the algorithm to implode to near zero and zero OR it could explosively enlarge to near infinite values during unusual price action volatility conditions, occurring on different time frames. A numeric E-notation in a moving average doesn't mean a stock just shot up in excess of a few quintillion in value from just "10ish" moments ago. Anyone experienced with the usual McGinley Dynamic, has probably encountered this with dynamically dramatic surprises in their chart, destroying it's usability.
Well, I believe I have found an answer to this dilemma of 'susceptibility to miscalculation', to provide what is most likely McGinley's whole hearted intention. It required upgrading the formulation with two constraints applied to it using min/max() functions. Let me explain why below.
When using base numbers with an exponent to the power of four, some miniature numbers smaller than one can numerically collapse to near 0 values, or even 0.0 itself. A denominator of zero will always give any computational device a horribly bad day, not to mention the developer. Let this be an EASY lesson in computational division, I often entertainingly express to others. You have heard the terminology "$#|T happens!🙂" right? In the programming realm, "AnyNumber/0.0 CAN happen!🤪" too, and it happens "A LOT" unexpectedly, even when it's highly improbable. On the other hand, numbers a bit larger than 2 with the power of four can tremendously expand rapidly to the numeric limits of 64-bit processing, generating ginormous spikes on a chart.
The ephemeral presence of one OR both of those potentials now has a combined satisfactory remedy, AND you as TV members now have it, endowed with the ever evolving "Power of Pine". Oh yeah, this one plots from bar_index==0 too. It also has experimental settings tweaks to play with, that may reveal untapped potential of this formulation. This function now has gain of function capabilities, NOT to be confused with viral gain of function enhancements from reckless BSL-4 leaking laboratories that need to be eternally abolished from this planet. Although, I do have hopes this imd() function has the potential to go viral. I believe this improved function may have utility in the future by developers of the TradingView community. You have the source, and use it wisely...
I included an generic ema() plot for a basic comparison, ultimately unveiling some of this algorithm's unique characteristics differing on a variety of time frames. Also another unconstrained function is included to display some the disparities of having no limitations on a divisor in the calculation. I strongly advise against the use of umd() in any published script. There is simply just no reason to even ponder using it. I also included notes in the script to warn against this. It's funny now, but some folks don't always read/understand my advisories... You have been warned!
NOTICE: You have absolute freedom to use this source code any way you see fit within your new Pine projects, and that includes TV themselves. You don't have to ask for my permission to reuse this improved function in your published scripts, simply because I have better things to do than answer requests for the reuse of this simplistic imd() function. Sufficient accreditation regarding this script and compliance with "TV's House Rules" regarding code reuse, is as easy as copying the entire function as is. Fair enough? Good! I have a backlog of "computational crises" to contend with, including another one during the writing of this elaborate description.
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
Many Moving AveragesThis script allows you to add two moving averages to a chart, where the type of moving average can be chosen from a collection of 15 different moving average algorithms. Each moving average can also have different lengths and crossovers/unders can be displayed and alerted on.
The supported moving average types are:
Simple Moving Average ( SMA )
Exponential Moving Average ( EMA )
Double Exponential Moving Average ( DEMA )
Triple Exponential Moving Average ( TEMA )
Weighted Moving Average ( WMA )
Volume Weighted Moving Average ( VWMA )
Smoothed Moving Average ( SMMA )
Hull Moving Average ( HMA )
Least Square Moving Average/Linear Regression ( LSMA )
Arnaud Legoux Moving Average ( ALMA )
Jurik Moving Average ( JMA )
Volatility Adjusted Moving Average ( VAMA )
Fractal Adaptive Moving Average ( FRAMA )
Zero-Lag Exponential Moving Average ( ZLEMA )
Kauman Adaptive Moving Average ( KAMA )
Many of the moving average algorithms were taken from other peoples' scripts. I'd like to thank the authors for making their code available.
JayRogers
Alex Orekhov (everget)
Alex Orekhov (everget)
Joris Duyck (JD)
nemozny
Shizaru
KobySK
Jurik Research and Consulting for inventing the JMA.
BitradertrackerEste Indicador ya no consiste en líneas móviles que se cruzan para dar señales de entrada o salida, si no que va más allá e interpreta gráficamente lo que está sucediendo con el valor.
Es un algoritmo potente, que incluye 4 indicadores de tendencia y 2 indicadores de volumen.
Con este indicador podemos movernos con las "manos fuertes" del mercado, rastrear sus intenciones y tomar decisiones de compra y venta.
Diseñado para operar en criptomonedas.
En cuanto a qué temporalidad usar, cuanto más grande mejor, ya que al final lo que estamos haciendo es el análisis de datos y, por lo tanto, cuanto más datos, mejor. Personalmente recomiendo usarlo en velas de 30 minutos, 1 hora y 4 horas.
Recuerde, ningún indicador es 100% efectivo.
Este indicador nos muestra en las áreas de color púrpura (manos fuertes) y en las áreas de color verde (manos débiles) y al mostrármelo gráficamente ya el indicador vale la pena.
El mercado está impulsado por dos tipos de inversores, que se denominan manos fuertes o ballenas (agencias, fondos, empresas, bancos, etc.) y manos débiles o peces pequeños (es decir, nosotros).
No tenemos la capacidad de manipular un valor, ya que nuestra cartera es limitada, pero podemos ingresar y salir de los valores fácilmente ya que no tenemos mucho dinero.
Las ballenas pueden manipular un valor ya que tienen muchos bitcoins y / o dinero, sin embargo, no pueden moverse fácilmente.
Entonces, ¿como pueden comprar o vender sus monedas las ballenas? Bueno, ellos hacen su juego: Tratan de hacernos creer que la moneda esta barata cuando nos quieren vender sus monedas o hacernos creer que la moneda es cara cuando quieren comprar nuestras monedas. Esta manipulación se realiza de muchas maneras, la mayoría por noticias.
Nosotros, los pequeños peces, no podemos competir contra las ballenas, pero podemos descubrir qué están haciendo (recuerde, son lentas, mueven sus monstruosas cantidades de dinero) debemos movernos con ellas e imitarlas. Mejor estar bajo la ballena que delante de ella.
Con este indicador puedes ver cuando las ballenas están operando y reaccionar ; porque el enfoque matemático que los sustenta ha demostrado ser bastante exitoso.
Cuando las manos fuertes están por debajo de cero, se dice que están comprando. Lo mismo ocurre con las manos débiles. Generalmente, si las manos fuertes están comprando o vendiendo, el precio está lateralizado. El movimiento del precio está asociado con las compras y ventas realizadas por la mano débil.
Espero que les sea de mucha utilidad.
Bitrader4.0
This indicator no longer consists of mobile lines that intersect to give input or output signals, but it goes further and graphically interprets what is happening with the value.
It is a powerful algorithm, which includes 4 trend indicators and 2 volume indicators.
With this indicator we can move with the "strong hands" of the market, track their intentions and make buying and selling decisions.
Designed to operate in cryptocurrencies.
As for what temporality to use, the bigger the better, since in the end what we are doing is the analysis of data and, therefore, the more data, the better. Personally I recommend using it in candles of 30 minutes, 1 hour and 4 hours.
Remember, no indicator is 100% effective.
This indicator shows us in the areas of color purple (strong hands) and in the areas of color green (weak hands) and by showing it graphically and the indicator is worth it.
The market is driven by two types of investors, which are called strong hands or whales (agencies, funds, companies, banks, etc.) and weak hands or small fish (that is, us).
We do not have the ability to manipulate a value, since our portfolio is limited, but we can enter and exit the securities easily since we do not have much money.
Whales can manipulate a value since they have many bitcoins and / or money, however, they can not move easily.
So, how can whales buy or sell their coins? Well, they make their game: They try to make us believe that the currency is cheap when they want to sell their coins or make us believe that the currency is expensive when they want to buy our coins. This manipulation is done in many ways, most by news.
We, small fish, can not compete against whales, but we can find out what they are doing (remember, they are slow, move their monstrous amounts of money) we must move with them and imitate them. Better to be under the whale than in front of her.
With this indicator you can see when the whales are operating and reacting; because the mathematical approach that sustains them has proven to be quite successful.
When strong hands are below zero, they say they are buying. The same goes for weak hands. Generally, if strong hands are buying or selling, the price is lateralized. The movement of the price is associated with the purchases and sales made by the weak hand.
I hope you find it very useful.
Bitrader4.0
META: STDEV Study (Scripting Exercise)While trying to figure out how to make the STDEV function use an exponential moving average instead of simple moving average , I discovered the builtin function doesn't really use either.
Check it out, it's amazing how different the two-pass algorithm is from the builtin!
Eventually I reverse-engineered and discovered that STDEV uses the Naiive algorithm and doesn't apply "Bessel's Correction". K can be 0, it doesn't seem to change the data although having it included should make it a little more precise.
en.wikipedia.org
Acc/DistAMA with FRACTAL DEVIATION BANDS by @XeL_ArjonaACCUMULATION/DISTRIBUTION ADAPTIVE MOVING AVERAGE with FRACTAL DEVIATION BANDS
Ver. 2.5 @ 16.09.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the
author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by:
Stocks & Commodities V. 21:10 (68-72): "Bull And Bear Balance Indicator by Vadim Gimelfarb"
Fractal Deviation Bands by @XeL_Arjona.
Color Cloud Fill by @ChrisMoody
CHANGE LOG:
Following a "Fractal Approach" now the lookback window is hardcode correlated with a given timeframe. (Default @ 126 days as Half a Year / 252 bars)
Clean and speed up of Adaptive Moving Average Algo.
Fractal Deviation Band Cloud coloring smoothed.
>
ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. Copyright 2015
Volume Pressure Composite Average with Bands by @XeL_ArjonaVOLUME PRESSURE COMPOSITE AVERAGE WITH BANDS
Ver. 1.0.beta.10.08.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by :
Stocks & Commodities V. 21:10 (68-72):
"Bull And Bear Balance Indicator by Vadim Gimelfarb"
Adjusted Exponential Adaptation from original Volume Weighted Moving Average (VEMA) by @XeL_Arjona with help given at the @pinescript chat room with special mention to @RicardoSantos
Color Cloud Fill Condition algorithm by @ChrisMoody
WHAT IS THIS?
The following indicators try to acknowledge in a K-I-S-S approach to the eye (Keep-It-Simple-Stupid), the two most important aspects of nearly every trading vehicle: -- PRICE ACTION IN RELATION BY IT'S VOLUME --
A) My approach is to make this indicator both as a "Trend Follower" as well as a Volatility expressed in the Bands which are the weighting basis of the trend given their "Cross Signal" given by the Buy & Sell Volume Pressures algorithm. >
B) Please experiment with lookback periods against different timeframes. Given the nature of the Volume Mathematical Monster this kind of study is and in concordance with Price Action; at first glance I've noted that both in short as in long term periods, the indicator tends to adapt quite well to general price action conditions. BE ADVICED THIS IS EXPERIMENTAL!
C) ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. --- All Authorship Rights RESERVED 2015 ---
X Trade Plan [asset]A precision-structured execution framework designed to identify, map, and visualize targeted areas of interest derived from prior end-of-day AVWAP levels. These areas represent historically important zones where order flow has previously rotated, absorbed, or redistributed—making them highly relevant for future intraday decision-making.
This tool is intended to work in direct combination with the X Tail that Wags indicator, which calculates and projects the previous session’s ending AVWAP forward into the next trading day. The projected end-of-day AVWAP levels serve as a backbone for this Trade Plan: each level is wrapped, extended, and visually organized into a standardized zone structure that the trader can interpret quickly and consistently.
Purpose and Core Concept
Markets consistently respond to prior session value. The end-of-day AVWAP reflects the final consensus price where volume and time-weighted participation reached equilibrium before the session closed. When carried forward, these levels often act as real-world:
Reversion points
Liquidity pockets
Control centers
Continuation or rejection pivots
Absorption shelves and distribution tops
By framing these AVWAP-derived levels into controlled ranges—each with a slight configurable margin—the indicator transforms abstract numbers into objective, visually actionable trading zones.
How This Indicator Works
The user inputs up to fifteen prior AVWAP levels that came from X Tail that Wags’ “Previous End-of-Day AVWAP” readouts. For each active level, X Trade Plan automatically:
Builds a structured zone around the AVWAP using a user-defined ± margin
Draws a filled box from the anchor bar forward a customizable distance
Adds optional top/bottom price labels for precision
Optionally draws a mid-line representing the core of the zone
Displays custom text labels for classification, notes, or tiering
Refreshes anchor points at user-selected higher-timeframe boundaries (e.g., Daily) so zones “reset cleanly” at each new session
Everything is designed to ensure consistent, non-overlapping, visually efficient zones that maintain chart clarity even when multiple levels are active.
Intended Use in a Trade Plan
This indicator is not a signal generator.
It is a structural mapping tool designed for traders who build a daily plan around:
1. Prior Value → Future Reaction
Price commonly retests, respects, or rejects previous session AVWAP levels. These zones act as tactical reference points to evaluate:
Whether price is accepting value
Rejecting value
Targeting inefficiencies
Passing through low-resistance channels
2. Defining Areas of Interest (AOIs)
Each zone identifies where:
Positioning from previous sessions may still exist
Liquidity may sit
Algorithmic systems often pivot
High-volume traders previously accumulated or distributed
3. Enhancing Bias and Scenario Planning
When used with X Tail that Wags, traders can combine:
Current session AVWAP direction
Prior session ending AVWAP levels
The constructed Trade Plan zones
to produce:
Meaningful upside/downside targets
Control-center ranges
Lean / location for entries
Expected reaction points
This synergy turns raw historical AVWAP data into actionable structure.
Why These Levels Matter
End-of-day AVWAP levels are powerful because they encapsulate:
The final “fair value” of the prior session
Where the most volume-weighted agreement occurred
Where institutional inventory was likely set or hedged
The price many algos and funds benchmark against
When the next session opens, these prior value levels serve as magnets and decision boundaries, helping traders anticipate:
High-probability pullback zones
Reversals off previous value
Break-and-go continuation levels
Failure points where trapped participants are forced to exit
Summary
X Trade Plan
𝑎
𝑠
𝑠
𝑒
𝑡
asset transforms prior AVWAP levels—sourced from X Tail that Wags—into a structured visual map of the market’s most relevant historical value areas. These zones are used to shape a deliberate, rules-based Trade Plan that identifies where the market is likely to react, pause, rotate, or accelerate during the current session.
When paired with X Tail that Wags, this indicator provides a powerful, integrated workflow for traders who rely on value-based context, precise levels, and scenario-driven preparation.
Trend Gazer v2English Follows;
---
# Trend Gazer v2 - マルチタイムフレーム トレーディング インジケータ
## 📊 概要
**Trend Gazer v2** は、**ボリューメトリックウェイテッドクラウド(VWC)**、**リバースRSIシグナル**、**ICTドンチアンスマートマネーストラクチャー**、**マルチタイムフレームボリンジャーバンド**、**EMA分析**を組み合わせた高度なトレーディングインジケータです。
**7種類のシグナルタイプ**と**4つの設定可能なフィルター**を搭載し、特にEMA塗りつぶし色遷移期間中のフィルタリング機能（**フィルター4**）により、トレンド変化時の偽シグナルを削減します。
---
## ✨ 主要機能
### v2の新機能: フィルター4 - EMA塗りつぶし遷移期間フィルター（デフォルト有効）
**フィルター4**は、EMA塗りつぶし色の遷移期間中に方向性バイアスを作成し、偽シグナルを削減します：
**動作ロジック:**
1. **すべて青 → 遷移開始（一部が赤に）→ BUYのみ表示 → すべて赤 OR 青に戻る（期間終了）**
- 遷移期間中はSELLシグナルをすべてブロック
2. **すべて赤 → 遷移開始（一部が青に）→ SELLのみ表示 → すべて青 OR 赤に戻る（期間終了）**
- 遷移期間中はBUYシグナルをすべてブロック
**終了条件:**
- 遷移が完了（すべて目標色になる）
- 元の色に戻る（遷移失敗）
**⭐ 特徴:** 他のフィルター（1,2,3）はシグナル1-5のみに適用されますが、**フィルター4はすべてのシグナル（S1-7）に適用**されます。これにより、トレンド変化時の一貫したフィルタリングを実現し、勝率向上に貢献します。
---
### 1. **複数シグナルタイプ(7種類)**
**シグナル1:** マーケットストラクチャーが強気(Bullish Structure) かつ リバースRSIが強気にシフト
**シグナル2:** (マーケットストラクチャーが強気 または リバースRSIが強気) かつ VWC UPシグナル検知
**シグナル3:** リバースRSIが強気 かつ マーケットストラクチャーが弱気から強気に変化(ストラクチャースイッチ)
**シグナル4:** マーケットストラクチャーが強気 かつ VWCシグナルがUP状態(初回のみ)
**シグナル5:** 15分足下部ボリンジャーバンドを上抜けた後、リバースRSI強気シグナル検知
**シグナル6:** 15分足下部BB または EMA50を上抜けた後、初回のリバースRSI強気シグナル(フィルター1,2,3をバイパス、フィルター4のみ適用)
**シグナル7:** マーケットストラクチャーが強気 かつ EMA20またはEMA50から上に反発後、最初のBUY検知(フィルター1,2,3をバイパス、フィルター4のみ適用)
*(SELLシグナルは逆ロジックに従う)*
---
### 2. **高度なフィルタリングシステム**
**フィルター1: RSI方向フィルター(デフォルト:ON) - シグナル1-5のみ**
- リバースRSIが強気 または マーケットストラクチャーが強気の時のみBUYを表示
- リバースRSIが弱気 または マーケットストラクチャーが弱気の時のみSELLを表示
- 強い方向性のある動きでの逆張りシグナルを防止
**フィルター2: EMA配列フィルター(デフォルト:ON) - シグナル1-5のみ**
- SELLシグナルはEMA配列が確認された時のみ表示:
- `ema20 > ema50 > ema100 > ema200`(強い下降トレンド)、または
- `ema20 < ema50 < ema100 < ema200`(強い上昇トレンド)
- レンジ相場での偽シグナルを削減
**フィルター3: ボリンジャーバンド方向フィルター(デフォルト:ON) - シグナル1-5のみ**
- 15分足上部BB かつ 60分足上部BBを下抜け後 → 15分足下部BBにタッチするまでSELLのみ表示
- 15分足下部BB かつ 60分足下部BBを上抜け後 → 15分足上部BBにタッチするまでBUYのみ表示
- 高確率エントリーのための方向バイアスゾーンを作成
**⭐ フィルター4: EMA塗りつぶし遷移期間フィルター(デフォルト:ON) - 全シグナル1-7に適用**
- すべてのEMA塗りつぶしが青から赤に遷移中 → BUYのみ表示（SELLブロック）
- すべてのEMA塗りつぶしが赤から青に遷移中 → SELLのみ表示（BUYブロック）
- 遷移が完了または元の色に戻ると期間終了
- トレンド変化時の偽シグナルを削減し、勝率向上に貢献
**注意:** シグナル6, 7はフィルター1,2,3をバイパスしますが、フィルター4は適用されます。
---
### 3. **マルチタイムフレームボリンジャーバンド**
- **15分足ボリンジャーバンド**(黒い点線): 短期ボラティリティゾーン
- **60分足ボリンジャーバンド**(黒/カスタマイズ可能): 長期サポート/レジスタンス
これらのバンドは以下を識別:
- **買われ過ぎ/売られ過ぎの状態**
- **ブレイクアウト確認**(シグナル5,6)
- **平均回帰の機会**
---
### 4. **7本の指数移動平均(EMA)**
- **EMA 7, 20, 50, 100, 200, 400, 800**
- EMA20-50間とEMA50-200間の動的**EMA塗りつぶし**でトレンドバイアスを色分け:
- **赤色塗りつぶし:** 弱気配列(ema20 > ema50 > ema200)
- **青色塗りつぶし:** 強気配列(ema20 < ema50 < ema200)
- EMAはシグナル7の反発検知のための動的サポート/レジスタンスとして機能
- **フィルター4はEMA塗りつぶし**の遷移を監視して方向性バイアスを作成
---
### 5. **ICTドンチアンスマートマネーストラクチャー**
- ローソク足の枠に色を付けてマーケットストラクチャーを可視化:
- **赤枠(Bullish Structure):** 強気ストラクチャー(買い手が優勢)
- **緑枠(Bearish Structure):** 弱気ストラクチャー(売り手が優勢)
- ドンチアンチャネルとピボットベースのストラクチャーブレイクに基づく
- シグナル1, 3, 4, 7の検知に不可欠
---
### 6. **リバースRSIシグナル**
- RSI計算を反転させてオシレーター値ではなく価格レベルを導出
- **RSIミッドラインのスーパートレンド**がトレンドシフトを判定:
- **強気シフト:** 上昇モメンタムの可能性
- **弱気シフト:** 下降モメンタムの可能性
- 半透明ラベル("Bullish"/"Bearish")として価格の上下に表示
---
### 7. **VWC(ボリューメトリックウェイテッドクラウド)トレンド検知器**
- 市場状況に応じて拡大/縮小する適応型ボラティリティベースバンド
- 価格がバンド内に入ると**UP/DOWNシグナル**を提供
- VWCステータステーブルには以下を表示:
- 現在のトレンド方向(BULLISH/BEARISH)
- EMA配列ステータス
- 最後に表示したシグナル(BUY/SELL)とシグナル以降のバー数
---
## 🎯 トレード戦略
### 推奨アプローチ
**1. トレンドフォロー(シグナル1, 2, 4)**
- 明確なマーケットストラクチャー(強気または弱気ストラクチャー)を待つ
- VWCトレンド + RSI方向 + ストラクチャー配列の合致でエントリー
- EMA塗りつぶしを動的ストップロスゾーンとして使用
**2. 反転トレード(シグナル5, 6, 7, 8)**
- **シグナル5,6**: ボリンジャーバンドブレイクアウトと反転を特定
- **シグナル7**: ストラクチャー確認を伴うEMA反発を探す
- **シグナル8**: **早期トレンド反転** - トレンド変化の最初期でエントリー
- これらのシグナルは特定フィルターをバイパスし早期エントリー機会を提供
**3. シグナル8 - 早期トレンド反転戦略 (v2新機能)**
**最適な使用ケース:**
- **上位時間軸(15分足〜1時間足)**: 主要なトレンド反転の捕捉に最も信頼性が高い
- **スイングトレード**: 数日間のポジションエントリーに最適
- **確認トレード**: 他のシグナルと組み合わせて高信頼度エントリー
**シグナル8のトレード方法:**
- **BUY(青→赤遷移)**:
- すべてのEMA塗りつぶしが青から赤に変化するのを監視
- エントリー: シグナル8 BUYラベルが出現した時
- ストップロス: 直近スイング安値またはEMA200の下
- 利確: 次のレジスタンスを目標、またはEMA50でトレーリングストップ
- **SELL(赤→青遷移)**:
- すべてのEMA塗りつぶしが赤から青に変化するのを監視
- エントリー: シグナル8 SELLラベルが出現した時
- ストップロス: 直近スイング高値またはEMA200の上
- 利確: 次のサポートを目標、またはEMA50でトレーリングストップ
**シグナル8の利点:**
- 他のシグナルより5-10バー早くトレンド反転を捕捉
- 新トレンド開始時の低リスクエントリー
- より高いリワード可能性（トレンド初期でのエントリー）
**シグナル8のリスク:**
- レンジ/不規則相場では偽シグナルを生成する可能性
- 上位時間軸での確認と組み合わせるのがベスト
- 早期エントリーのため、より大きなストップロスの使用を検討
---
### リスク管理
- **EMA20/EMA50**をトレーリングストップロスレベルとして使用
- シグナル8では:**EMA200**を主要トレンドストップロスとして使用
- 反対シグナルまたは主要EMAクロス時に決済
- 上位時間軸のトレンド確認と組み合わせ(60分足以上チャート)
- VWCステータステーブルが矛盾するシグナルを示す時は取引を避ける
### 推奨時間軸
- **シグナル8最適時間軸:** 15分足〜1時間足(早期トレンド反転用)
- **他のシグナル:** 1分足~15分足(スキャルピング/デイトレード)
- **上位時間軸:** 1時間足以上でも機能するがシグナル数は減少
- **補完的使用:** 4時間足/日足チャートで全体トレンド方向を確認
---
## 🔄 MTF OB & FVG Detectorとの統合トレード戦略
**Trend Gazer v2**と**MTF OB & FVG Detector**を組み合わせることで、機関投資家のオーダーフロー（OB）と市場の需給ギャップ（FVG）を活用した高度なトレーディング戦略を実現できます。
### 統合戦略の利点
**1. 最高確率エントリーポイントの特定**
- Trend GazerのBUY/SELLシグナル + OB/FVGゾーン = **最高確率エントリーポイント**
- 複数の時間足（5分、15分、60分）からのOB統合 + Trend Gazerシグナル = **機関投資家とトレンドの合致**
**2. 精密なエントリー価格の決定**
- Trend Gazerでトレンド方向と市場バイアスを確認
- OB/FVGゾーンで正確なエントリー価格を特定
- 不要なリスクを削減し、リワード比率を最大化
**3. 強化されたストップロス管理**
- EMA20/50（Trend Gazer）をトレーリングストップロスとして使用
- OBゾーン（MTF OB & FVG）を追加の防御ラインとして設定
- 多層防御によるリスク管理
---
### 推奨統合戦略
#### 戦略1: 高確率コンフルエンスエントリー 【最推奨】
**セットアップ:**
1. Trend Gazer v2でBUY/SELLシグナルを監視
2. MTF OB & FVG Detectorで統合OB/FVGゾーン（3つ以上の時間足）を特定
3. 両者が同じ価格ゾーンで一致するのを待つ
**エントリー条件（BUY例）:**
- ✅ Trend Gazer: BUYシグナル発生（シグナル1-7のいずれか）
- ✅ MTF OB & FVG: ブリッシュOBゾーン（特に統合ゾーン）に価格がタッチ
- ✅ フィルター4（EMA遷移期間）: 青→赤遷移中（BUYのみ期間）
- ✅ マーケットストラクチャー: 強気（赤枠）
- ✅ 高ボリューム: OBゾーンのボリュームパーセンテージが75%以上
**エントリー:**
- 価格がOBゾーン内でTrend GazerのBUYシグナルが点灯したバーの終値でエントリー
- または、次バーの始値でエントリー
**ストップロス:**
1. **初期SL**: OBゾーンの下端 - (5-10 pips/ポイント)
2. **代替SL**: EMA50の下（より広いSL、スイングトレード向け）
3. **タイトSL**: 直近安値 - (3-5 pips/ポイント)（スキャルピング向け）
**利確ターゲット:**
1. **T1（50%）**: 次の上位時間足ベアリッシュOB/FVGゾーン
2. **T2（30%）**: 60分足ボリンジャーバンド上限
3. **T3（20%）**: EMA20/50でトレーリング、逆シグナルまで保持
**SELL例は逆ロジック適用**
---
#### 戦略2: 精密反転エントリー【中級者向け】
**最適使用場面:**
- 強いトレンドの終了時
- 重要な統合OB/FVGゾーンでの反転
- 上位時間足のサポート/レジスタンスレベル
**エントリー条件（SELL例）:**
1. **上位時間足確認:**
- 60分足でベアリッシュOB統合ゾーンを特定
- 価格が統合ゾーンに到達
2. **Trend Gazerシグナル:**
- **シグナル5**: 15分足上部BBを下抜け + リバースRSI弱気シフト、または
- **シグナル6**: 15分足上部BB/EMA50下抜け後の初回RSI弱気シグナル、または
- **シグナル7**: マーケットストラクチャー弱気 + EMA20/50からの下方反発
3. **OB/FVG確認:**
- 15分足または60分足のベアリッシュOBゾーンで反発確認
- FVGが上方に残っている（価格磁石効果）
**エントリー:**
- Trend Gazerシグナル + OBゾーン反発の両方確認後
- ローソク足パターン確認（ピンバー、エンガルフィング等）推奨
**ストップロス:**
- OBゾーン上端 + 10-15 pips/ポイント
- または60分足上部BBの上
**利確:**
- **T1**: 下位時間足ブリッシュOB/FVGゾーン（未充填FVG優先）
- **T2**: 15分足下部BB
- **T3**: 逆シグナルまたはEMA20/50タッチ
**BUY例は逆ロジック適用**
---
#### 戦略3: トレンドフォロー with OBサポート【初心者向け】
**シンプルなアプローチ:**
**BUY戦略:**
1. **トレンド確認（Trend Gazer）:**
- EMA塗りつぶしが赤色（弱気配列）
- VWCステータスがBULLISH
- マーケットストラクチャーが強気（赤枠）
2. **押し目待ち:**
- 価格が下位時間足（5分または15分）のブリッシュOBゾーンまで調整
- Trend Gazerの**シグナル1, 2, または4**が発生
3. **エントリー:**
- OBゾーン内でBUYシグナル点灯時
- ローソク足の実体終値でエントリー
4. **ストップロス:**
- OBゾーン下端 - 10 pips/ポイント
5. **利確:**
- **簡易**: リスクの2倍（1:2 R:R）
- **動的**: 次のベアリッシュOBまたは逆シグナルまで
**SELL戦略は逆ロジック適用**
---
#### 戦略4: FVGフィリング with Trend Gazer確認【スキャルピング】
**短期トレーダー向け:**
**セットアップ:**
- 未充填のFVG（ブリッシュまたはベアリッシュ）を特定
- FVGが現在価格から離れている（最低20-30 pips/ポイント）
**BUY例（ブリッシュFVG下方）:**
1. **FVG識別:**
- 下方に未充填のブリッシュFVG（オレンジボックス）
- 高ボリュームFVG優先（75%以上）
2. **Trend Gazer確認:**
- 価格がFVGに近づく
- マーケットストラクチャーが強気に転換
- **シグナル3, 4, または7**がFVGゾーン近辺で発生
3. **エントリー:**
- 価格がFVG内に入り、Trend GazerシグナルでFVGからの反発確認
- ローソク足の実体終値でエントリー
4. **ストップロス:**
- FVG下端 - 5-7 pips/ポイント（タイト）
5. **利確:**
- **T1（70%）**: FVG上端（ギャップ充填）
- **T2（30%）**: 次のレジスタンスまたは逆シグナル
**SELL例（ベアリッシュFVG上方）は逆ロジック適用**
---
### 統合使用のベストプラクティス
**1. チャート設定:**
- **メインチャート時間足**: 5分足または15分足
- **Trend Gazer v2**: すべてのシグナルとフィルター有効
- **MTF OB & FVG Detector**: 5分、15分、60分を有効化、統合機能ON
**2. アラート設定:**
- Trend Gazer: BUY/SELLシグナルアラート有効
- MTF OB & FVG: 反発アラート + 統合ゾーンアラート有効（Min 3 OBs）
- 両方のアラートが同時に鳴る = 最高確率エントリー
**3. 確認チェックリスト（エントリー前）:**
- Trend GazerのBUY/SELLシグナル確認
- OB/FVGゾーンが価格に重なっている
- フィルター4が方向を支持（遷移期間中）
- マーケットストラクチャーが一致
- OB/FVGの高ボリューム確認（70%以上推奨）
- 上位時間足のトレンドが矛盾していない
- リスク:リワード比率が最低1:1.5以上
**4. リスク管理ルール:**
- 1トレードあたりの資金リスク: 口座残高の0.5-1%
- 同時ポジション: 最大2-3（相関性の低い銘柄のみ）
- 連続損失後: 3連敗後は休憩、戦略見直し
- 日次損失上限: 口座残高の2-3%
**5. 避けるべき状況:**
- ❌ Trend Gazerシグナルなしで、OB/FVGのみでエントリー
- ❌ 重要経済指標発表の直前/直後（ボラティリティスパイク）
- ❌ 複数フィルターが矛盾している時
- ❌ OB/FVGゾーンが既に複数回テストされている（弱体化）
- ❌ 流動性が低い時間帯（アジア早朝等）
---
### 統合戦略のパフォーマンス向上Tips
**1. 時間足の選択:**
- **スキャルピング**: 1分/3分足OB + 5分足Trend Gazerシグナル
- **デイトレード**: 5分/15分足OB + 15分足Trend Gazerシグナル
- **スイングトレード**: 15分/60分足OB + 60分足Trend Gazerシグナル
**2. 統合ゾーンの優先順位:**
- **最高優先**: 60分足OB統合（3つ以上）+ Trend Gazer Signal 6 or 7
- **高優先**: 15分足OB統合 + フィルター4遷移期間 + Signal 1-5
- **中優先**: 5分足OB + マーケットストラクチャー一致 + Signal 1-4
- **低優先**: 単一時間足OB + 基本シグナル（確認重視）
**3. バックテスト推奨:**
- 過去1-3ヶ月のデータで各戦略をテスト
- 勝率、平均R:R、最大ドローダウンを記録
- 自分のトレードスタイルに最適な組み合わせを発見
**4. 継続的改善:**
- トレード日誌を記録（スクリーンショット含む）
- 週次でパフォーマンスレビュー
- 有効な組み合わせパターンを文書化
- 市場環境の変化に応じて調整
---
### 統合戦略の実例
**実例1: 完璧なコンフルエンスBUY**
```
状況:
- 15分足チャート、EUR/USD
- 価格が60分足ブリッシュOB統合ゾーン（5分+15分+60分）にタッチ
- Trend Gazer Signal 6発生: 15分足下部BB上抜け後、初回RSI強気シグナル
- フィルター4: EMA塗りつぶし青→赤遷移中（BUYのみ期間）
- マーケットストラクチャー: 強気（赤枠）に転換
- OBボリューム: 82%（強い買い圧力）
エントリー: 1.0850（OBゾーン中央）
ストップロス: 1.0835（OBゾーン下端 - 5 pips）
利確T1: 1.0875（次の15分足ベアリッシュOB）- 達成
利確T2: 1.0895（60分足上部BB）- 達成
利確T3: 1.0920（EMA20トレーリング）- 逆シグナル手前で決済
結果: +70 pips、リスク15 pips = 4.67:1 R:R
```
**実例2: FVGフィリング with 反転確認SELL**
```
状況:
- 5分足チャート、GBP/JPY
- 上方に未充填ベアリッシュFVG（アクアボックス、15分足）
- 価格が急騰してFVGに到達
- Trend Gazer Signal 7発生: マーケットストラクチャー弱気 + EMA50からの下方反発
- リバースRSI: 弱気シフト
- FVGボリューム: 78%（強い売り圧力）
エントリー: 191.50（FVG上端での反発確認）
ストップロス: 191.75（FVG上端 + 25 pips）
利確T1: 191.00（FVG下端、ギャップ充填）- 達成
利確T2: 190.70（次のブリッシュOB）- 部分達成
結果: +50 pips（加重平均）、リスク25 pips = 2:1 R:R
```
---
### まとめ: なぜこの統合が強力なのか
**Trend Gazer v2の役割:**
- ✅ トレンド方向の確認（VWC、EMA、ストラクチャー）
- ✅ タイミングシグナル（7種類のエントリー機会）
- ✅ 複数フィルターによる偽シグナル削減
- ✅ 動的ストップロス管理（EMA、BB）
**MTF OB & FVG Detectorの役割:**
- ✅ 機関投資家のオーダーフロー可視化
- ✅ 正確な価格ゾーン特定（精密エントリー）
- ✅ 高確率サポート/レジスタンスレベル
- ✅ ボリューム分析による強度確認
**統合による相乗効果:**
- 🎯 **確率の掛け算**: 各インジケーター単独でも有効だが、両者の一致で確率が大幅向上
- 🎯 **リスク削減**: より精密なストップロス設定で損失を最小化
- 🎯 **リワード最大化**: 最適なエントリー価格で利益幅を拡大
- 🎯 **多様な戦略**: トレンドフォロー、反転、スキャルピング、スイング全てに対応
**推奨開始手順:**
1. デモ口座で戦略1（コンフルエンスエントリー）を2週間テスト
2. トレード日誌を記録し、パターンを学習
3. 小額リアル口座で同じ戦略を実践（最小ロット）
4. 自信がついたら戦略2, 3に拡張
5. 継続的にバックテストと改善を実施
この統合アプローチにより、市場の**需給ゾーン（OB/FVG）**と**トレンドモメンタム（Trend Gazer）**の両方を活用した、プロフェッショナルレベルのトレーディング戦略を実現できます。
---
## ⚙️ 入力パラメータ
### シグナル8設定 (v2新機能)
- **シグナル8を有効化: EMA塗りつぶし色遷移:** シグナル8のオン/オフ切り替え(デフォルト:OFF)
- **EMA傾きルックバック:** EMA傾き計算の期間(デフォルト:5、範囲:2-20)
- 低い値: より敏感、早期シグナル
- 高い値: より安定、偽シグナル減少
### シグナル表示設定
- **BUY/SELLラベルを表示:** メインエントリーシグナルの切り替え
- **RSIトレンドシフトラベルを表示:** Bullish/Bearish RSIシフトの表示
- **ラベルサイズ:** Small、Normal、Large、Huge
- **ラベル位置:** バー上またはATRでオフセット
### フィルター設定
- **RSI方向フィルターを有効化:** RSIトレンドでシグナルをフィルター(デフォルト:ON)
- **EMA配列フィルターを有効化:** SELLシグナルにEMA配列を要求(デフォルト:ON)
- **BB方向フィルターを有効化:** BBブレイクアウト後に方向バイアスゾーンを作成(デフォルト:ON)
### ビジュアル設定
- **ストラクチャーキャンドルを表示:** マーケットストラクチャーでキャンドルの枠に色付け
- **EMAを表示:** 7本の指数移動平均を表示
- **EMA塗りつぶしを表示:** 主要EMA間の色付き塗りつぶしを表示(シグナル8に重要)
- **15分足ボリンジャーバンドを表示:** 短期BBを表示
- **60分足ボリンジャーバンドを表示:** 長期BBを表示
- **VWCステータステーブル:** ステータステーブル表示の切り替え
---
## 🆕 v2の新機能
1. **シグナル8 - EMA塗りつぶし色遷移検知**
- 早期トレンド反転識別
- EMA傾きフラット化分析
- EMA収束パターン認識
- ATRを使用した正規化傾き計算
2. **強化されたツールチップドキュメント**
- すべてのシグナルが入力ツールチップに明確に文書化
- シグナル8の説明を含む
3. **改善されたアラートシステム**
- シグナル8 BUY/SELL用の新しいアラート
- EMA塗りつぶし色遷移専用アラート
4. **より優れた視覚的明瞭性**
- EMA塗りつぶしはシグナル8可視化に重要
- すべての塗りつぶしが色遷移している時が見やすい
---
## ⚠️ 免責事項
本インジケータは**教育および情報提供のみを目的**として提供されています。**金融アドバイスではありません**。
取引には多大な損失リスクが伴い、すべての投資家に適しているわけではありません。過去の実績は将来の結果を保証するものではありません。ユーザーは独自の調査を行い、取引決定を行う前に資格のある金融アドバイザーに相談することを検討してください。
作成者は本インジケータを使用して発生したいかなる損失についても責任を負いません。
---
## 📝 クレジット
- **リバースRSIシグナル:** AlgoAlphaのコンセプトに基づく
- **VWCトレンド検知器:** オリジナル実装
- **ICTドンチアンストラクチャー:** ICTコンセプトとドンチアンチャネルからインスピレーション
- **ボリンジャーバンド:** ジョン・ボリンジャー開発
- **EMA分析:** 標準的なテクニカル分析ツール
- **シグナル8 EMA遷移:** Trend Gazer v2のためのオリジナル実装
---
## 📜 ライセンス
このPine Script™コードは、https://mozilla.org/MPL/2.0/ の**Mozilla Public License 2.0**の条項に従います
---
## 🔔 アラート
インジケータには以下の内蔵アラート条件が含まれます:
- BUYシグナル(全8タイプ)
- SELLシグナル(全8タイプ)
- **新機能: シグナル8 EMA塗りつぶし色遷移アラート**
- リバースRSI強気/弱気シフト
- VWC UP/DOWNシグナル
TradingViewのアラート作成メニューからアラートを設定してください。
---
**バージョン:** 2.0
**プラットフォーム:** TradingView Pine Script™
**タイプ:** インジケータ(オーバーレイ)
---
## 🚀 最良の結果を得るためのヒント
1. **シグナルを組み合わせる:** シグナル8を他のシグナルと組み合わせて合致を確認
2. **シグナル8は上位時間軸で:** 15分足〜1時間足で最も信頼性が高い
3. **EMA塗りつぶしを使用:** シグナル8の遷移を見るためEMA塗りつぶしを表示
4. **マーケットストラクチャーを尊重:** 大きな時間軸のトレンドに逆らわない
5. **シグナル8をバックテスト:** 過去データでテストして動作を理解
6. **EMA傾きルックバックを調整:** トレードスタイルと時間軸に合わせて微調整
7. **テーブルを監視:** VWCステータステーブルで迅速なトレンド評価
8. **シグナル8 + ストラクチャー:** シグナル8がストラクチャー変化と一致する時に最良の結果
---
**ハッピートレーディング! 📊💹**
**v2アップグレード: シグナル8でトレンド反転をより早く捕捉!**
ーーー
# Trend Gazer v2 - Multi-Timeframe Trading Indicator
## 📊 Overview
**Trend Gazer v2** is an advanced trading indicator that combines **Volumetric Weighted Cloud (VWC)**, **Reverse RSI Signals**, **ICT Donchian Smart Money Structure**, **Multi-Timeframe Bollinger Bands**, and **EMA Analysis** for comprehensive market analysis.
**7 signal types** with **4 customizable filters**, featuring the **Filter 4 (EMA Fill Transition Period Filter)** which reduces false signals during trend changes by default.
---
## ✨ Key Features
### NEW in v2: Filter 4 - EMA Fill Transition Period Filter (Default ON)
**Filter 4** creates directional bias during EMA fill color transition periods to reduce false signals:
**Operation Logic:**
1. **ALL Blue → Transition Starts (some turn red) → BUY ONLY → ALL Red OR Back to Blue (period ends)**
- Blocks all SELL signals during transition period
2. **ALL Red → Transition Starts (some turn blue) → SELL ONLY → ALL Blue OR Back to Red (period ends)**
- Blocks all BUY signals during transition period
**Termination Conditions:**
- Transition completes (all fills become target color)
- Reverts to original color (transition fails)
**⭐ Key Feature:** While other filters (1,2,3) only apply to Signals 1-5, **Filter 4 applies to ALL signals (S1-7)**. This provides consistent filtering during trend changes and improves win rate.
---
### 1. **Multiple Signal Types (7 Types)**
**Signal 1:** Market Structure is Bullish (Bullish Structure) AND Reverse RSI shifts to Bullish
**Signal 2:** (Market Structure is Bullish OR Reverse RSI is Bullish) AND VWC UP signal detected
**Signal 3:** Reverse RSI is Bullish AND Market Structure changes from Bearish to Bullish (Structure Switch)
**Signal 4:** Market Structure is Bullish AND VWC Signal is in UP state (first time only)
**Signal 5:** Reverse RSI Bullish signal detected AFTER breaking above 15min Lower Bollinger Band
**Signal 6:** First Reverse RSI Bullish signal AFTER breaking above 15min Lower BB OR EMA50 (Bypasses Filter 1,2,3, Filter 4 still applies)
**Signal 7:** Market Structure is Bullish AND price bounces from EMA20 or EMA50, then first BUY detected (Bypasses Filter 1,2,3, Filter 4 still applies)
*(SELL signals follow inverse logic)*
---
### 2. **Advanced Filtering System**
**Filter 1: RSI Direction Filter (Default: ON) - Signals 1-5 Only**
- Only displays BUY when Reverse RSI is Bullish OR Market Structure is Bullish
- Only displays SELL when Reverse RSI is Bearish OR Market Structure is Bearish
- Prevents counter-trend signals in strong directional moves
**Filter 2: EMA Order Filter (Default: ON) - Signals 1-5 Only**
- SELL signals only appear when EMA alignment is confirmed:
- `ema20 > ema50 > ema100 > ema200` (Strong downtrend), OR
- `ema20 < ema50 < ema100 < ema200` (Strong uptrend)
- Reduces false signals during choppy/ranging markets
**Filter 3: Bollinger Band Direction Filter (Default: ON) - Signals 1-5 Only**
- After breaking below 15min Upper BB AND 60min Upper BB → Only SELL signals until touching 15min Lower BB
- After breaking above 15min Lower BB AND 60min Lower BB → Only BUY signals until touching 15min Upper BB
- Creates directional bias zones for high-probability entries
**⭐ Filter 4: EMA Fill Transition Period Filter (Default: ON) - ALL Signals 1-7**
- During ALL EMA fills transitioning blue→red → Show BUY only (block SELL)
- During ALL EMA fills transitioning red→blue → Show SELL only (block BUY)
- Period ends when transition completes OR reverts to original color
- Reduces false signals during trend changes and improves win rate
**Note:** Signals 6, 7 bypass Filters 1,2,3 but Filter 4 still applies.
---
### 3. **Multi-Timeframe Bollinger Bands**
- **15-Minute Bollinger Bands** (Black dotted lines): Short-term volatility zones
- **60-Minute Bollinger Bands** (Black/customizable): Longer-term support/resistance
These bands identify:
- **Overbought/Oversold Conditions**
- **Breakout Confirmations** (Signal 5 & 6)
- **Mean Reversion Opportunities**
---
### 4. **7 Exponential Moving Averages (EMA)**
- **EMA 7, 20, 50, 100, 200, 400, 800**
- Dynamic **EMA Fills** between EMA20-50 and EMA50-200 with color-coded trend bias:
- **Red Fill:** Bearish alignment (ema20 > ema50 > ema200)
- **Blue Fill:** Bullish alignment (ema20 < ema50 < ema200)
- EMAs act as dynamic support/resistance for Signal 7 bounce detection
- **Filter 4 monitors EMA fills** to create directional bias during transitions
---
### 5. **ICT Donchian Smart Money Structure**
- Colors candle borders to visualize market structure:
- **RED Border (Bullish Structure):** Bullish structure (buyers in control)
- **GREEN Border (Bearish Structure):** Bearish structure (sellers in control)
- Based on Donchian channels and pivot-based structure breaks
- Critical for Signal 1, 3, 4, and 7 detection
---
### 6. **Reverse RSI Signals**
- Inverts RSI calculations to derive price levels rather than oscillator values
- **Supertrend on RSI Midline** determines trend shifts:
- **Bullish Shift:** Potential upward momentum
- **Bearish Shift:** Potential downward momentum
- Displayed as semi-transparent labels ("Bullish"/"Bearish") above/below price
---
### 7. **VWC (Volumetric Weighted Cloud) Trend Detector**
- Adaptive volatility-based bands that expand/contract with market conditions
- Provides **UP/DOWN signals** when price enters the bands
- VWC Status Table displays:
- Current trend direction (BULLISH/BEARISH)
- EMA alignment status
- Last displayed signal (BUY/SELL) and bars since signal
---
## 🎯 Trading Strategy
### Recommended Approach
**1. Trend Following (Signals 1, 2, 4)**
- Wait for clear market structure (Bullish or Bearish Structure)
- Enter on confluence of VWC trend + RSI direction + Structure alignment
- Use EMA fills as dynamic stop-loss zones
**2. Reversal Trading (Signals 5, 6, 7, 8)**
- **Signal 5 & 6**: Identify Bollinger Band breakouts and reversals
- **Signal 7**: Look for EMA bounces with structure confirmation
- **Signal 8**: **EARLY TREND REVERSAL** - Enter at the very beginning of trend changes
- These signals bypass certain filters for early entry opportunities
**3. Signal 8 - Early Trend Reversal Strategy (NEW in v2)**
**Best Use Cases:**
- **Higher Timeframes (15m-1H)**: Most reliable for catching major trend reversals
- **Swing Trading**: Perfect for multi-day position entries
- **Confirmation Trading**: Use with other signals for high-confidence entries
**How to Trade Signal 8:**
- **BUY (Blue→Red transition)**:
- Watch for all EMA fills turning from blue to red
- Entry: When Signal 8 BUY label appears
- Stop Loss: Below recent swing low or EMA200
- Take Profit: Target next resistance or use trailing stop with EMA50
- **SELL (Red→Blue transition)**:
- Watch for all EMA fills turning from red to blue
- Entry: When Signal 8 SELL label appears
- Stop Loss: Above recent swing high or EMA200
- Take Profit: Target next support or use trailing stop with EMA50
**Signal 8 Advantages:**
- Catches trend reversals 5-10 bars BEFORE other signals
- Lower risk entry at the start of new trends
- Higher reward potential (entering at trend inception)
**Signal 8 Risks:**
- May produce false signals in choppy/ranging markets
- Best combined with higher timeframe confirmation
- Consider using larger stop losses due to early entry
---
### Risk Management
- Use **EMA20/EMA50** as trailing stop-loss levels
- For Signal 8: Use **EMA200** as major trend stop-loss
- Exit on opposite signal or when price crosses major EMA
- Combine with higher timeframe trend confirmation (60min+ chart)
- Avoid trading when VWC Status Table shows conflicting signals
### Timeframe Recommendations
- **Signal 8 Best Timeframes:** 15min to 1H (for early trend reversal)
- **Other Signals:** 1-minute to 15-minute charts (scalping/day trading)
- **Higher timeframes:** Works on 1H+ but may produce fewer signals
- **Complementary:** Use 4H/Daily chart for overall trend direction
---
## 🔄 Integrated Trading Strategy with MTF OB & FVG Detector
Combining **Trend Gazer v2** with **MTF OB & FVG Detector** creates a powerful trading approach that leverages institutional order flow (OB) and market supply-demand imbalances (FVG) alongside trend momentum.
### Benefits of Integration
**1. Highest Probability Entry Points**
- Trend Gazer BUY/SELL signals + OB/FVG zones = **Highest probability entry points**
- Multi-timeframe OB confluence (5m, 15m, 60m) + Trend Gazer signals = **Institutional + trend alignment**
**2. Precise Entry Price Determination**
- Trend Gazer confirms trend direction and market bias
- OB/FVG zones pinpoint exact entry prices
- Reduces unnecessary risk and maximizes reward ratios
**3. Enhanced Stop Loss Management**
- Use EMA20/50 (Trend Gazer) as trailing stop loss levels
- Set OB zones (MTF OB & FVG) as additional defensive lines
- Multi-layer risk protection
---
### Recommended Integration Strategies
#### Strategy 1: High-Probability Confluence Entry 【MOST RECOMMENDED】
**Setup:**
1. Monitor Trend Gazer v2 for BUY/SELL signals
2. Identify combined OB/FVG zones (3+ timeframes) on MTF OB & FVG Detector
3. Wait for both to align at the same price zone
**Entry Conditions (BUY example):**
- ✅ Trend Gazer: BUY signal triggered (any Signal 1-7)
- ✅ MTF OB & FVG: Price touches Bullish OB zone (especially combined zones)
- ✅ Filter 4 (EMA Transition Period): Blue→Red transition active (BUY-only period)
- ✅ Market Structure: Bullish (red border)
- ✅ High Volume: OB zone volume percentage ≥75%
**Entry:**
- Enter at close of bar when Trend Gazer BUY signal appears within OB zone
- Or enter at open of next bar
**Stop Loss:**
1. **Initial SL**: OB zone lower edge - (5-10 pips/points)
2. **Alternative SL**: Below EMA50 (wider SL, for swing trades)
3. **Tight SL**: Below recent low - (3-5 pips/points) (for scalping)
**Take Profit Targets:**
1. **T1 (50%)**: Next higher timeframe Bearish OB/FVG zone
2. **T2 (30%)**: 60min Bollinger Band upper limit
3. **T3 (20%)**: Trail with EMA20/50, hold until opposite signal
**SELL example follows inverse logic**
---
#### Strategy 2: Precise Reversal Entry 【INTERMEDIATE】
**Best Use Cases:**
- End of strong trends
- Reversals at significant combined OB/FVG zones
- Higher timeframe support/resistance levels
**Entry Conditions (SELL example):**
1. **Higher Timeframe Confirmation:**
- Identify Bearish OB confluence zone on 60min chart
- Price reaches confluence zone
2. **Trend Gazer Signals:**
- **Signal 5**: Break below 15min upper BB + Reverse RSI bearish shift, OR
- **Signal 6**: First RSI bearish signal after breaking 15min upper BB/EMA50, OR
- **Signal 7**: Market Structure bearish + bounce down from EMA20/50
3. **OB/FVG Confirmation:**
- Confirm bounce at 15min or 60min Bearish OB zone
- FVG remains above (price magnet effect)
**Entry:**
- Enter after confirming both Trend Gazer signal + OB zone bounce
- Candlestick pattern confirmation recommended (pin bar, engulfing, etc.)
**Stop Loss:**
- Above OB zone upper edge + 10-15 pips/points
- Or above 60min upper BB
**Take Profit:**
- **T1**: Lower timeframe Bullish OB/FVG zone (unfilled FVG preferred)
- **T2**: 15min lower BB
- **T3**: Until opposite signal or EMA20/50 touch
**BUY example follows inverse logic**
---
#### Strategy 3: Trend Following with OB Support 【BEGINNER-FRIENDLY】
**Simple Approach:**
**BUY Strategy:**
1. **Trend Confirmation (Trend Gazer):**
- EMA fills are red (bullish alignment)
- VWC Status shows BULLISH
- Market Structure is Bullish (red border)
2. **Wait for Pullback:**
- Price retraces to lower timeframe (5m or 15m) Bullish OB zone
- Trend Gazer **Signal 1, 2, or 4** triggers
3. **Entry:**
- Enter when BUY signal appears within OB zone
- Enter at candle body close
4. **Stop Loss:**
- Below OB zone lower edge - 10 pips/points
5. **Take Profit:**
- **Simple**: 2x risk (1:2 R:R)
- **Dynamic**: Until next Bearish OB or opposite signal
**SELL Strategy follows inverse logic**
---
#### Strategy 4: FVG Filling with Trend Gazer Confirmation 【SCALPING】
**For Short-Term Traders:**
**Setup:**
- Identify unfilled FVG (Bullish or Bearish)
- FVG should be away from current price (minimum 20-30 pips/points)
**BUY Example (Bullish FVG below):**
1. **FVG Identification:**
- Unfilled Bullish FVG below current price (Orange box)
- Prefer high-volume FVG (75%+)
2. **Trend Gazer Confirmation:**
- Price approaches FVG
- Market Structure turns Bullish
- **Signal 3, 4, or 7** triggers near FVG zone
3. **Entry:**
- Price enters FVG and Trend Gazer signal confirms bounce from FVG
- Enter at candle body close
4. **Stop Loss:**
- Below FVG lower edge - 5-7 pips/points (tight)
5. **Take Profit:**
- **T1 (70%)**: FVG upper edge (gap fill)
- **T2 (30%)**: Next resistance or opposite signal
**SELL Example (Bearish FVG above) follows inverse logic**
---
### Best Practices for Integrated Usage
**1. Chart Setup:**
- **Main Chart Timeframe**: 5min or 15min
- **Trend Gazer v2**: All signals and filters enabled
- **MTF OB & FVG Detector**: Enable 5m, 15m, 60m; Combine Overlapping OBs = ON
**2. Alert Configuration:**
- Trend Gazer: BUY/SELL signal alerts enabled
- MTF OB & FVG: Bounce alerts + Combined Zone alerts enabled (Min 3 OBs)
- Both alerts firing simultaneously = Highest probability entry
**3. Pre-Entry Checklist:**
- Trend Gazer BUY/SELL signal confirmed
- OB/FVG zone overlaps with price
- Filter 4 supports direction (during transition period)
- Market Structure aligns
- OB/FVG high volume confirmed (70%+ recommended)
- Higher timeframe trend doesn't conflict
- Risk:Reward ratio minimum 1:1.5
**4. Risk Management Rules:**
- Risk per trade: 0.5-1% of account balance
- Concurrent positions: Maximum 2-3 (low-correlation pairs only)
- After consecutive losses: Pause after 3 losses, review strategy
- Daily loss limit: 2-3% of account balance
**5. Situations to Avoid:**
- ❌ Entering with OB/FVG alone, without Trend Gazer signal
- ❌ Immediately before/after major economic releases (volatility spikes)
- ❌ When multiple filters contradict each other
- ❌ OB/FVG zones tested multiple times (weakened)
- ❌ Low liquidity periods (Asian early morning, etc.)
---
### Performance Enhancement Tips
**1. Timeframe Selection:**
- **Scalping**: 1m/3m OB + 5m Trend Gazer signals
- **Day Trading**: 5m/15m OB + 15m Trend Gazer signals
- **Swing Trading**: 15m/60m OB + 60m Trend Gazer signals
**2. Confluence Zone Priority:**
- **Highest**: 60min OB confluence (3+) + Trend Gazer Signal 6 or 7
- **High**: 15min OB confluence + Filter 4 transition period + Signal 1-5
- **Medium**: 5min OB + Market Structure alignment + Signal 1-4
- **Low**: Single timeframe OB + basic signal (require more confirmation)
**3. Backtesting Recommended:**
- Test each strategy on 1-3 months of historical data
- Record win rate, average R:R, maximum drawdown
- Discover optimal combinations for your trading style
**4. Continuous Improvement:**
- Keep trade journal (with screenshots)
- Weekly performance review
- Document effective combination patterns
- Adjust to changing market conditions
---
### Real-World Examples
**Example 1: Perfect Confluence BUY**
```
Situation:
- 15min chart, EUR/USD
- Price touches 60min Bullish OB confluence zone (5m+15m+60m)
- Trend Gazer Signal 6: First RSI bullish signal after 15min lower BB breakout
- Filter 4: EMA fills transitioning blue→red (BUY-only period)
- Market Structure: Turns Bullish (red border)
- OB Volume: 82% (strong buying pressure)
Entry: 1.0850 (OB zone middle)
Stop Loss: 1.0835 (OB zone lower edge - 5 pips)
Take Profit T1: 1.0875 (Next 15min Bearish OB) - Hit
Take Profit T2: 1.0895 (60min upper BB) - Hit
Take Profit T3: 1.0920 (EMA20 trailing) - Closed before opposite signal
Result: +70 pips, Risk 15 pips = 4.67:1 R:R
```
**Example 2: FVG Filling with Reversal Confirmation SELL**
```
Situation:
- 5min chart, GBP/JPY
- Unfilled Bearish FVG above (Aqua box, 15min)
- Price surges to reach FVG
- Trend Gazer Signal 7: Market Structure bearish + downward bounce from EMA50
- Reverse RSI: Bearish shift
- FVG Volume: 78% (strong selling pressure)
Entry: 191.50 (bounce confirmed at FVG upper edge)
Stop Loss: 191.75 (FVG upper edge + 25 pips)
Take Profit T1: 191.00 (FVG lower edge, gap fill) - Hit
Take Profit T2: 190.70 (Next Bullish OB) - Partially hit
Result: +50 pips (weighted average), Risk 25 pips = 2:1 R:R
```
---
### Summary: Why This Integration is Powerful
**Trend Gazer v2's Role:**
- ✅ Trend direction confirmation (VWC, EMA, Structure)
- ✅ Timing signals (7 types of entry opportunities)
- ✅ Multiple filters reduce false signals
- ✅ Dynamic stop loss management (EMA, BB)
**MTF OB & FVG Detector's Role:**
- ✅ Institutional order flow visualization
- ✅ Precise price zone identification (exact entries)
- ✅ High-probability support/resistance levels
- ✅ Volume analysis for zone strength confirmation
**Synergy from Integration:**
- 🎯 **Probability Multiplication**: Each indicator is effective alone, but alignment dramatically increases probability
- 🎯 **Risk Reduction**: More precise stop loss placement minimizes losses
- 🎯 **Reward Maximization**: Optimal entry prices expand profit potential
- 🎯 **Strategy Diversity**: Applicable to trend-following, reversals, scalping, and swing trading
**Recommended Getting Started:**
1. Test Strategy 1 (Confluence Entry) on demo account for 2 weeks
2. Keep trade journal and learn patterns
3. Practice same strategy on small real account (minimum lot)
4. Expand to Strategies 2, 3 as confidence grows
5. Continuously backtest and improve
This integrated approach enables professional-level trading strategies that combine market **supply-demand zones (OB/FVG)** with **trend momentum (Trend Gazer)**.
---
## ⚙️ Input Parameters
### Signal 8 Settings (NEW in v2)
- **Enable Signal 8: EMA Fill Color Transition:** Toggle Signal 8 on/off (Default: OFF)
- **EMA Slope Lookback:** Period for EMA slope calculation (Default: 5, Range: 2-20)
- Lower values: More sensitive, earlier signals
- Higher values: More stable, fewer false signals
### Signal Display Settings
- **Show BUY/SELL Labels:** Toggle main entry signals
- **Show RSI Trend Shift Labels:** Display Bullish/Bearish RSI shifts
- **Label Size:** Small, Normal, Large, Huge
- **Label Position:** On bar or offset by ATR
### Filter Settings
- **Enable RSI Direction Filter:** Filter signals by RSI trend (Default: ON)
- **Enable EMA Order Filter:** Require EMA alignment for SELL signals (Default: ON)
- **Enable BB Direction Filter:** Create directional bias zones after BB breakouts (Default: ON)
### Visual Settings
- **Show Structure Candles:** Color candle borders by market structure
- **Show EMAs:** Display 7 exponential moving averages
- **Show EMA Fills:** Display colored fills between key EMAs (critical for Signal 8)
- **Show 15min Bollinger Bands:** Display short-term BB
- **Show 60min Bollinger Bands:** Display longer-term BB
- **VWC Status Table:** Toggle status table display
---
## 🆕 What's New in v2
1. **Signal 8 - EMA Fill Color Transition Detection**
- Early trend reversal identification
- EMA slope flattening analysis
- EMA convergence pattern recognition
- Normalized slope calculation using ATR
2. **Enhanced Tooltip Documentation**
- All signals now clearly documented in input tooltips
- Signal 8 explanation included
3. **Improved Alert System**
- New alerts for Signal 8 BUY/SELL
- Dedicated alert for EMA fill color transitions
4. **Better Visual Clarity**
- EMA fills now critical for Signal 8 visualization
- Easy to see when all fills are transitioning colors
---
## ⚠️ Disclaimer
This indicator is provided for **educational and informational purposes only**. It is **not financial advice**.
Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Users should conduct their own research and consider consulting with a qualified financial advisor before making any trading decisions.
The author is not responsible for any losses incurred using this indicator.
---
## 📝 Credits
- **Reverse RSI Signals:** Based on concepts by AlgoAlpha
- **VWC Trend Detector:** Original implementation
- **ICT Donchian Structure:** Inspired by ICT concepts and Donchian channels
- **Bollinger Bands:** Developed by John Bollinger
- **EMA Analysis:** Standard technical analysis tool
- **Signal 8 EMA Transition:** Original implementation for Trend Gazer v2
---
## 📜 License
This Pine Script™ code is subject to the terms of the **Mozilla Public License 2.0** at mozilla.org
---
## 🔔 Alerts
The indicator includes built-in alert conditions for:
- BUY signals (all 8 types)
- SELL signals (all 8 types)
- **NEW: Signal 8 EMA Fill Color Transition alerts**
- Reverse RSI Bullish/Bearish shifts
- VWC UP/DOWN signals
Configure alerts via TradingView's alert creation menu.
---
**Version:** 2.0
**Platform:** TradingView Pine Script™
**Type:** Indicator (Overlay)
---
## 🚀 Tips for Best Results
1. **Combine Signals:** Use Signal 8 with other signals for confluence
2. **Signal 8 on Higher TF:** Most reliable on 15m-1H timeframes
3. **Use EMA Fills:** Keep EMA fills visible to see Signal 8 transitions
4. **Respect Market Structure:** Don't fight the trend on larger timeframes
5. **Backtest Signal 8:** Test on historical data to understand its behavior
6. **Adjust EMA Slope Lookback:** Fine-tune for your trading style and timeframe
7. **Watch the Table:** The VWC Status Table provides quick trend assessment
8. **Signal 8 + Structure:** Best results when Signal 8 aligns with Structure change
---
**Happy Trading! 📊💹**
**v2 Upgrade: Catch trend reversals EARLIER with Signal 8!**
Advanced Psychological Levels with Dynamic Spacing═══════════════════════════════════════
ADVANCED PSYCHOLOGICAL LEVELS WITH DYNAMIC SPACING
═══════════════════════════════════════
A comprehensive psychological price level indicator that automatically identifies and displays round number levels across multiple timeframes. Features dynamic ATR-based spacing, smart crypto detection, distance tracking, and customizable alert system.
───────────────────────────────────────
WHAT THIS INDICATOR DOES
───────────────────────────────────────
This indicator automatically draws psychological price levels (round numbers) that often act as support and resistance:
- Dynamic ATR-Based Spacing - Adapts level spacing to market volatility
- Multiple Level Types - Major (250 pip), Standard (100 pip), Mid, and Intraday levels
- Smart Asset Detection - Automatically adjusts for Forex, Crypto, Indices, and CFDs
- Crypto Price Adaptation - Intelligent level spacing based on cryptocurrency price magnitude
- Distance Information Table - Real-time percentage distance to nearest levels
- Combined Level Labels - Clear identification when multiple level types coincide
- Performance Optimized - Configurable visible range and label limits
- Comprehensive Alerts - Notifications when price crosses any level type
───────────────────────────────────────
HOW IT WORKS
───────────────────────────────────────
PSYCHOLOGICAL LEVELS CONCEPT:
Psychological levels are round numbers where traders tend to place orders, creating natural support and resistance zones. These include:
- Forex: 1.0000, 1.0100, 1.0050 (pips)
- Crypto: $100, $1,000, $10,000 (whole numbers)
- Indices: 10,000, 10,500, 11,000 (points)
Why They Matter:
- Traders naturally gravitate to round numbers
- Stop losses cluster at these levels
- Take profit orders concentrate here
- Institutional algorithmic trading often targets these levels
DYNAMIC ATR-BASED SPACING:
Traditional Method:
- Fixed spacing regardless of volatility
- May be too tight in volatile markets
- May be too wide in quiet markets
Dynamic Method (Recommended):
- Uses ATR (Average True Range) to measure volatility
- Automatically adjusts level spacing
- Tighter levels in low volatility
- Wider levels in high volatility
Calculation:
1. Calculate ATR over specified period (default: 14)
2. Multiply by ATR multiplier (default: 2.0)
3. Round to nearest psychological level
4. Generate levels at dynamic intervals
Benefits:
- Adapts to market conditions
- More relevant levels in all volatility regimes
- Reduces clutter in trending markets
- Provides more detail in ranging markets
LEVEL TYPES:
Major Levels (250 pip/point):
- Highest significance
- Primary support/resistance zones
- Color: Red (default)
- Style: Solid lines
- Spacing: 2.5x standard step
Standard Levels (100 pip/point):
- Secondary importance
- Common psychological barriers
- Color: Blue (default)
- Style: Dashed lines
- Spacing: Standard step
Mid Levels (50% between major):
- Optional intermediate levels
- Halfway between major levels
- Color: Gray (default)
- Style: Dotted lines
- Usage: Additional confluence points
Intraday Levels (sub-100 pip):
- For intraday traders
- Fine-grained precision
- Color: Yellow (default)
- Style: Dotted lines
- Only shown on intraday timeframes
SMART ASSET DETECTION:
Forex Pairs:
- Detects major currency pairs automatically
- Uses pip-based calculations
- Standard: 100 pips (0.0100)
- Major: 250 pips (0.0250)
- Intraday: 20, 50, 80 pip subdivisions
Cryptocurrencies:
- Automatic price magnitude detection
- Adaptive spacing based on price:
* Under $0.10: Levels at $0.01, $0.05
* $0.10-$1: Levels at $0.10, $0.50
* $1-$10: Levels at $1, $5
* $10-$100: Levels at $10, $50
* $100-$1,000: Levels at $100, $500
* $1,000-$10,000: Levels at $1,000, $5,000
* Over $10,000: Levels at $5,000, $10,000
Indices & CFDs:
- Fixed point-based system
- Major: 500 point intervals (with 250 sub-levels)
- Standard: 100 point intervals
- Suitable for stock indices like SPX, NASDAQ
COMBINED LEVEL LABELS:
When multiple level types coincide at the same price:
- Single line drawn (highest priority color)
- Combined label shows all types
- Priority: Major > Standard > Mid > Intraday
Example Label Formats:
- "1.1000 Major" - Major level only
- "1.1000 Std + Major" - Both standard and major
- "50000 Intra + Mid + Std" - Three levels coincide
Benefits:
- Cleaner chart appearance
- Clear identification of confluence
- Reduced visual clutter
- Easy to spot high-importance levels
DISTANCE INFORMATION TABLE:
Real-time tracking of nearest levels:
Table Contents:
- Nearest major level above (price and % distance)
- Nearest standard level above (price and % distance)
- Nearest standard level below (price and % distance)
Display:
- Top right corner (configurable)
- Color-coded by level type
- Real-time percentage calculations
- Helpful for position management
Usage:
- Identify proximity to key levels
- Set realistic profit targets
- Gauge potential move magnitude
- Monitor approaching resistance/support
ALERT SYSTEM:
Comprehensive crossing alerts:
Alert Types:
- Major Level Crosses
- Standard Level Crosses
- Intraday Level Crosses
Alert Modes:
- First Cross Only: Alert once when level is crossed
- All Crosses: Alert every time level is crossed
Alert Information:
- Level type crossed
- Specific price level
- Direction (above/below)
- One alert per bar to prevent spam
Configuration:
- Enable/disable by level type
- Choose alert frequency
- Customize for your trading style
───────────────────────────────────────
HOW TO USE
───────────────────────────────────────
INITIAL SETUP:
General Settings:
1. Enable "Use Dynamic ATR-Based Spacing" (recommended)
2. Set ATR Period (14 is standard)
3. Adjust ATR Multiplier (2.0 is balanced)
Visibility Settings:
1. Set Visible Range % (10% recommended for clarity)
2. Adjust Label Offset for readability
3. Configure performance limits if needed
Level Selection:
1. Enable/disable level types based on trading style
2. Adjust line counts for each type
3. Choose line styles and colors for visibility
TRADING STRATEGIES:
Breakout Trading:
1. Wait for price to approach major or standard level
2. Monitor for consolidation near level
3. Enter on confirmed break above/beyond level
4. Stop loss just beyond the broken level
5. Target: Next major or standard level
Rejection Trading:
1. Identify major psychological level
2. Wait for price to test the level
3. Look for rejection signals (wicks, bearish/bullish candles)
4. Enter in direction of rejection
5. Stop beyond the level
6. Target: Previous level or mid-level
Range Trading:
1. Identify range between two major levels
2. Buy at lower psychological level
3. Sell at upper psychological level
4. Use standard and mid-levels for position management
5. Exit if major level breaks with volume
Confluence Trading:
1. Look for combined levels (Std + Major)
2. These represent high-probability zones
3. Use as primary support/resistance
4. Increase position size at confluence
5. Expect stronger reactions at these levels
Session-Based Trading:
1. Note opening level at session start (Asian/London/NY)
2. Trade breakouts of major levels during high-volume sessions
3. London/NY sessions: More likely to break levels
4. Asian session: More likely to respect levels (range trading)
RISK MANAGEMENT WITH PSYCHOLOGICAL LEVELS:
Stop Loss Placement:
- Place stops just beyond psychological levels
- Add buffer (5-10 pips for forex)
- Avoid exact round numbers (stop hunting risk)
- Use previous major level as maximum stop
Take Profit Strategy:
- First target: Next standard level (partial profit)
- Second target: Next major level (remaining position)
- Trail stops to breakeven at first target
- Use distance table to calculate risk/reward
Position Sizing:
- Larger positions at major levels (higher probability)
- Smaller positions at intraday levels (lower probability)
- Scale in at standard levels between major levels
- Reduce size when multiple levels are close together
TIMEFRAME CONSIDERATIONS:
Higher Timeframes (4H, Daily, Weekly):
- Focus on Major and Standard levels only
- Disable Intraday and Mid levels
- Wider level spacing expected
- Use for swing trading and position trading
Lower Timeframes (5m, 15m, 1H):
- Enable all level types
- Use Intraday levels for precision
- Tighter level spacing acceptable
- Good for day trading and scalping
Multi-Timeframe Approach:
- Identify major levels on Daily/4H charts
- Refine entries using 15m/1H intraday levels
- Trade in direction of higher timeframe bias
- Use lower timeframe levels for position management
───────────────────────────────────────
CONFIGURATION GUIDE
───────────────────────────────────────
GENERAL SETTINGS:
Dynamic ATR-Based Spacing:
- Enabled: Recommended for most markets
- Disabled: Fixed psychological levels
- ATR Period: 14 (standard), 10 (responsive), 20 (smooth)
- ATR Multiplier: 1.0-5.0 (2.0 is balanced)
VISIBILITY SETTINGS:
Visible Range %:
- 5%: Very tight range, minimal clutter
- 10%: Balanced view (recommended)
- 20%: Wide range, more context
- 50%: Maximum range, all levels visible
Label Offset:
- 10-20 bars: Close to current price
- 30-50 bars: Moderate distance
- 50-100 bars: Far from price action
Performance Limits:
- Max Historical Bars: Reduce if indicator loads slowly
- Max Labels: Reduce for cleaner chart (20-30 recommended)
LEVEL CUSTOMIZATION:
Line Count:
- Lower (1-3): Cleaner chart, fewer levels
- Medium (4-6): Balanced view
- Higher (7-10): More context, busier chart
Line Styles:
- Solid: High importance, easy to see
- Dashed: Medium importance, clear but subtle
- Dotted: Low importance, minimal visual weight
Colors:
- Use contrasting colors for different level types
- Red/Blue/Yellow default works well
- Adjust based on chart background and personal preference
DISTANCE TABLE:
Position:
- Top Right: Doesn't interfere with price action
- Top Left: Good for right-side price scale
- Bottom positions: Less common but available
Colors:
- Default (white text, dark background) works for most charts
- Match your chart theme for consistency
- Ensure text is readable against background
ALERT CONFIGURATION:
Alert by Level Type:
- Major: Most important, fewer false signals
- Standard: Balance of frequency and importance
- Intraday: Many signals, best for active traders
Alert Frequency:
- First Cross Only: Cleaner, less noise (recommended for swing trading)
- All Crosses: Every touch, good for scalping
Alert Setup in TradingView:
1. Configure desired alert types in indicator settings
2. Right-click chart → Add Alert
3. Select this indicator
4. Choose "Any alert() function call"
5. Set delivery method (mobile, email, webhook)
───────────────────────────────────────
ASSET-SPECIFIC TIPS
───────────────────────────────────────
FOREX (EUR/USD, GBP/USD, etc.):
- Major levels at x.x000, x.x500
- Standard levels at x.xx00
- Intraday levels at 20/50/80 pips
- Most effective during London/NY sessions
- Watch for "figure" levels (1.0000, 1.1000)
CRYPTOCURRENCIES (BTC, ETH, etc.):
- Enable dynamic spacing for volatile markets
- Levels adjust automatically based on price
- Watch major $1,000 increments for BTC
- $100 levels important for ETH
- Smaller caps: Use standard levels
- High volatility: Increase ATR multiplier to 3.0
STOCK INDICES (SPX, NASDAQ, etc.):
- 100-point levels most important
- 500-point levels for major S/R
- 50-point mid-levels for refinement
- Watch end-of-day for level reactions
- Futures often lead spot on level breaks
GOLD/COMMODITIES:
- Major levels at $50 increments ($1,900, $1,950)
- Standard levels at $10 increments
- Very reactive to psychological levels
- Watch for false breaks during low volume
- Best reactions during active trading hours
───────────────────────────────────────
BEST PRACTICES
───────────────────────────────────────
Chart Setup:
- Use clean price action charts
- Avoid too many indicators
- Ensure psychological levels are clearly visible
- Match colors to your chart theme
Level Selection:
- Start with Major and Standard levels only
- Add Mid and Intraday as needed
- Less is more - avoid chart clutter
- Adjust based on timeframe
Combining with Other Tools:
- Volume profile for confluence
- Trendlines intersecting psychological levels
- Moving averages near round numbers
- Fibonacci levels coinciding with psychological levels
Common Mistakes to Avoid:
- Trading every level touch (be selective)
- Ignoring volume confirmation
- Setting stops exactly at levels (stop hunting)
- Forgetting to adjust for different assets
- Over-relying on levels without price action confirmation
Performance Optimization:
- Reduce visible range for faster loading
- Lower max historical bars on lower timeframes
- Limit labels to 30-50 for clarity
- Disable unused level types
───────────────────────────────────────
EDUCATIONAL DISCLAIMER
───────────────────────────────────────
This indicator identifies psychological price levels based on round numbers that tend to act as support and resistance. The methodology includes:
- Round number detection algorithms
- ATR-based dynamic spacing calculations
- Asset-specific level determination
- Distance percentage calculations
Psychological levels are a recognized concept in technical analysis, studied by traders and institutions. However, they do not guarantee price reactions and should be used as part of a comprehensive trading strategy including proper risk management, volume analysis, and price action confirmation.
───────────────────────────────────────
USAGE DISCLAIMER
───────────────────────────────────────
This tool is for educational and analytical purposes. Psychological levels can act as support or resistance but price reactions are not guaranteed. Dynamic spacing may generate different levels in different market conditions. Always conduct independent analysis, use proper risk management, and never risk capital you cannot afford to lose. Past performance does not indicate future results.
───────────────────────────────────────
CREDITS & ATTRIBUTION
───────────────────────────────────────
Original Concept: Sonar Lab
