RexDog AverageYes, simple—the RexDog Average is a bias moving average indicator. The purpose is to provide the overall momentum bias you should have when trading an instrument. It works across all markets and all timeframes.
Usage:
Price above the RexDog AVG = long momentum bias
Price below the RexDog AVG = short momentum bias
*Note: we have banned the word “trend” in the RexDog Trading Method.
Additional Usage Advice:
If price rips through the average your momentum bias should probably change. 80% of the time when price moves through the RexDog Average it will come back and test the area around average within 1-2 bars. 20% of the time it does not. The momentum is so strong in that direction so look for a 50-70% tests of the bar that impulse through the RexDog Average.
If you are using the RexDog Trading Method by default if the price is above the average and you are short you are in a fade trade. The momentum trade would be long. Of course reverse if price is below.
On multiple time frames. Of course, one timeframe can be long bias and a lower timeframe can be short bias. Which one do you use? Both—if your in a short trade using lower timeframe and with the bias of the average your in a momentum trade—but on the higher timeframe your aware you are essential fading the overall momentum.
Background:
Rex and I searched high and low for one simple thing. A moving average (or combination of some) that we could use to form our momentum bias that worked for all timeframes and all markets we trade.
We tried and tested them all. Even went down the path of ribbons and various other types of hybrid EMA/MA derivatives. Nothing had a high enough accuracy or mathematically was reliable that we could say with a high probability that it was on the right side of the momentum.
We almost stopped and landed on using the true and tested 200 MA—but we found through extensive tests that using the 200MA or EMA you’re often late to the party. Look you don’t need to be the first one in the trade but having a heads up sure helps.
To quote one of the best financial movies of the modern era—Margin Call:
“There are three ways to make a living in this business: be first, be smarter, or cheat… it sure is a hell of a lot easier to be first”. The RexDog Average used properly enables you to be first or damn near close.
Under the Hood:
This is so simple most reading this will discount it. You might even scoff and berate Rex for wasting your time. But you would be wrong. The RexDog Average has been tested across all markets—FOREX, Crypto, Equities, Futures (even tick charts), and even the Penguin population in Antarctica.
The RexDog Average is an average of 6 simple moving averages: 200, 100, 50, 24, 9, 5.
Yes, that’s it.
The RexDog Average Plus will be released soon with additional parameters and most likely upper and lower bounds. In addition, we are working on a hybrid RexDog Exponential Average.
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Simple Portfolio TrackerThis is just a simple portfolio tracker that i started to play around with - i'm sure there are smarter ways to do this, but i chose the simpler way :) -- please feel free to use this, or consider it as a starting point to your own indicator.
i will come back later and add some more stuff once i get time. for example, show the total value, recent change, P&L % ..etc
So the simple idea is to track a portfolio of few positions and watch how the total portfolio and the PnL changes over time as the price of the individual holdings move up and down. it can be added to any chart.
The code is currently set to track 5 positions - settings allow to enter if the positions is used or not, symbol, amount and cost price..
** note: more positions can be added by editing the code and copying and pasting the marked "position block" that contains the input statements and the calculations, then changing/replacing the position identifier (_1, _2, ..etc) in all variables with new number..
--- don't forget to add these extra positions you insert in the code to the formula lines that calculate the totals
i tried to make this as easy as possible in the code. the code includes a sample portfolio as default values just to help "demo" how this works
the input is made easy, thanks to the recent addition of the "inline" feature in the input() statement
i don't know if some traders will find this useful ?? or if more about how to use it is needed.. let me know in the comments.. as i mentioned, i was just playing with the idea over the weekend so didn't really put a lot of work into it.
Credits and thanks to @boji1 for inspiring this :)
VPA ANALYSIS VPA Analysis provide the indications for various conditions as per the Volume Spread Analysis concept. The various legends are provided below
LEGEND DETAILS
UT1 - Upthrust Bar: This will be widespread Bar on high Volume closing on the low. This normally happens after an up move. Here the smart money move the price to the High and then quickly brings to the Low trapping many retail trader who rushed into in order not to miss the bullish move. This is a bearish Signal
UT2 -Upthrust Bar Confirmation: A widespread Down Bar following a Upthrust Bar. This confirms the weakness of the Upthrust Bar. Expect the stock to move down
Confirms . This is a Bearish Signal
PUT - Pseudo Upthrust: An Upthrust Bar in bar action but the volume remains average. This still indicates weakness. Indicate Possible Bearishness
PUC -Pseudo Upthrust Confirmation: widespread Bar after a pseudo–Upthrust Bar confirms the weakness of the Pseudo Upthrust Bar
Confirms Bearishness
BC - Buying Climax: A very wide Spread bar on ultra-High Volume closing at the top. Such a Bar indicates the climatic move in an uptrend. This Bar traps many retailers as the uptrend ends and reverses quickly. Confirms Bearishness
TC - Trend Change: This Indicates a possible Trend Change in an uptrend. Indicates Weakness
SEC- Sell Condition: This bar indicates confluence of some bearish signals. Possible end of Uptrend and start of Downtrend soon. Bearish Signal
UT - Upthrust Condition: When multiple bearish signals occur, the legend is printed in two lines. The Legend “UT” indicates that an upthrust condition is present. Bearish Signal
ND - No demand in uptrend: This bar indicates that there is no demand. In an uptrend this indicates weakness. Bearish Signal
ND - No Demand: This bar indicates that there is no demand. This can occur in any part of the Trend. In all place other than in an uptrend this just indicates just weakness
ED - Effort to Move Down: Widespread Bar closing down on High volume or above average volume . The smart money is pushing the prices down. Bearish Signal
EDF - Effort to Move Down Failed: Widespread / above average spread Bar closing up on High volume or above average volume appearing after ‘Effort to move down” bar.
This indicates that the Effort to move the pries down has failed. Bullish signal
SV - Stopping Volume: A high volume medium to widespread Bar closing in the upper middle part in a down trend indicates that smart money is buying. This is an indication that the down trend is likely to end soon. Indicates strength
ST1 - Strength Returning 1: Strength seen returning after a down trend. High volume adds to strength. Indicates Strength
ST2 - Strength Returning 2: Strength seen returning after a down trend. High volume adds to strength.
BYC - Buy Condition: This bar indicates confluence of some bullish signals Possible end of downtrend and start of uptrend soon. Indicates Strength
EU - Effort to Move Up: Widespread Bar closing up on High volume or above average volume . The smart money is pushing the prices up. Bullish Signal
EUF - Effort to Move Up Failed: Widespread / above average spread Bar closing down on High volume or above average volume appearing after ‘Effort to move up” bar.
This indicates that the Effort to move the pries up has failed. Bearish Signal
LVT- Low Volume Test: A low volume bar dipping into previous supply area and closing in the upper part of the Bar. A successful test is a positive sign. Indicates Strength
ST(after a LVT ) - Strength after Successful Low Volume Test: An up Bar closing near High after a Test confirms strength. Bullish Signal
RUT - Reverse Upthrust Bar: This will be a widespread Bar on high Volume closing on the high is a Down Trend. Here the buyers have become active and move the prices from the low to High. The down Move is likely to end and up trend likely to start soon. indicates Strength
NS - No supply Bar: This bar indicates that there is no supply. This is a sign of strength especially in a down trend. Indicates strength
ST - Strength Returns: When multiple bullish signals occur, the legend is printed in two lines. The Legend “ST” indicates that an condition of strength other than the condition mentioned in the second line is present. Bullish Signals
BAR COLORS
Green- Bullish / Strength
Red - Bearish / weakness
Blue / White - Sentiment Changing from bullish to Bearish and Vice Versa
Pinescript v4 - The Holy Grail (Trailing Stop)After studying several other scripts, I believe I have found the Holy Grail! (Or perhaps I've just found a bug with Tradingview's Pinescript v4 language) Anyhow, I'm publishing this script in the hope that someone smarter than myself could shed some light on the fact that adding a trailing stop to any strategy seems to make it miraculously...no that's an understatement...incredulously, stupendously, mind-bendingly profitable. I'm talking about INSANE profit factors, higher than 200x, with drawdowns of <10%. Sounds too good to be true? Maybe it is...or you could hook it up to your LIVE broker, and pray it doesn't explode. This is an upgraded version of my original Pin Bar Strategy.
Recommended Chart Settings:
Asset Class: Forex
Time Frame: H1
Long Entry Conditions:
a) Exponential Moving Average Fan up trend
b) Presence of a Bullish Pin Bar
c) Pin Bar pierces the Exponential Moving Average Fan
Short Entry Conditions:
a) Exponential Moving Average down trend
b) Presence of a Bearish Pin Bar
c) Pin Bar pierces the Exponential Moving Average Fan
Exit Conditions:
a) Trailing stop is hit
b) Moving Averages cross-back (optional)
c) It's the weekend
Default Robot Settings:
Equity Risk (%): 3 //how much account balance to risk per trade
Stop Loss (x*ATR, Float): 0.5 //stoploss = x * ATR, you can change x
Stop Loss Trail Points (Pips): 1 //the magic sauce, not sure how this works
Stop Loss Trail Offset (Pips): 1 //the magic sauce, not sure how this works
Slow SMA (Period): 50 //slow moving average period
Medium EMA (Period): 18 //medium exponential moving average period
Fast EMA (Period): 6 //fast exponential moving average period
ATR (Period): 14 // average true range period
Cancel Entry After X Bars (Period): 3 //cancel the order after x bars not triggered, you can change x
Backtest Results (2019 to 2020, H1, Default Settings):
AUDUSD - 1604% profit, 239.6 profit factor, 4.9% drawdown (INSANE)
NZDUSD - 1688.7% profit, 100.3 profit factor, 2.5% drawdown
GBPUSD - 1168.8% profit, 98.7 profit factor, 0% drawdown
USDJPY - 900.7% profit, 93.7 profit factor, 4.9% drawdown
USDCAD - 819% profit, 31.7 profit factor, 8.1% drawdown
EURUSD - 685.6% profit, 26.8 profit factor, 5.9% drawdown
USDCHF - 1008% profit, 18.7 profit factor, 8.6% drawdown
GBPJPY - 1173.4% profit, 16.1 profit factor, 7.9% drawdown
EURAUD - 613.3% profit, 14.4 profit factor, 9.8% drawdown
AUDJPY - 1619% profit, 11.26 profit factor, 9.1% drawdown
EURJPY - 897.2% profit, 6 profit factor, 13.8% drawdown
EURGBP - 608.9% profit, 5.3 profit factor, 9.8% drawdown (NOT TOO SHABBY)
As you can clearly see above, this forex robot is projected by the Tradingview backtester to be INSANELY profitable for all common forex pairs. So what was the difference between this strategy and my previous strategies? Check my code and look for "trail_points" and "trail_offset"; you can even look them up in the PineScript v4 documentation. They specify a trailing stop as the exit condition, which automatically closes the trade if price reverses against you.
I however suspect that the backtester is not properly calculating intra-bar price movement, and is using a simplified model. With this simplfied approach, the trailing stop code becomes some sort of "holy grail" generator, making every trade entered profitable.
Risk Warning:
This is a forex trading strategy that involves high risk of equity loss, and backtest performance will not equal future results. You agree to use this script at your own risk.
Hint:
To get more realistic results, and *maybe* overcome the intrabar simulation error, change the settings to: "Stop Loss Trail Points (pips)": 100
I am not sure if this eradicates the bug, but the entries and exits look more proper, and the profit factors are more believable.
Trend M ver1this simple tool a helper for trader in order to put your target at the correct places:)
so script based on Trend M (open script in my page)
the script based on non security MTF that allow us to detect the M = mean average of resistance and support by MTF
best setting is either monthly or weekly
when you go on lower chart just put in the min the exact TF that you on. 60 min =60
2 hour 120
5 min =5
etc
when ever the trend is above the mean or M then it bullish =lime color. bellow the M is bearish =red color
the R1 and S level are % from the mean . so it can act for us either target or as stop loss
you can set the R1 or S1 as you like by % ratio . so 0.01 is 1%
0.1 is 10 % etc
all you need to find is the weekly or monthly range of the asset then put the % ratio that you wish up or down
you can use it with trend lines or other method .it just another tool to make you trade smarter
Resampling Reverse Engineering Bands [DW]This is an experimental study designed to reverse engineer price levels from centered oscillators at user defined sample rates.
This study aims to educate users on the process of oscillator reverse engineering, and to give users an alternative perspective on some of the most commonly used oscillators in the trading game.
Reverse engineering price levels from an oscillator is actually a rather simple, straightforward process.
Rather than plugging price values into a function to solve for oscillator values, we rearrange the function using some basic algebraic operations and plug in a specified oscillator value to solve for price values instead.
This process tells us what price value is needed in order for the oscillator to equal a certain value.
For example, if you wanted to know what price value would be considered “overbought” or “oversold” according to your oscillator, you can do that using this process.
In this study, the reverse engineering functions are used to calculate the price values of user defined high and low oscillator thresholds, and the price values for the oscillator center.
This allows you to visualize what prices will trigger thresholds as a sort of confidence interval, which is information that isn't inherently available when simply analyzing the oscillator directly.
This script is equipped with three reverse engineering functions to choose from for calculating the band values:
-> Reverse Relative Strength Index (RRSI)
-> Reverse Stochastic Oscillator (RStoch)
-> Reverse Commodity Channel Index (RCCI)
You can easily select the function you want to utilize from the "Band Calculation Type" dropdown tab.
These functions are specially designed to calculate at any sample rate (up to 1 bar per sample) utilizing the process of downsampling that I introduced in my Resampling Filter Pack.
The sample rate can be determined with any of these three methods:
-> BPS - Resamples based on the number of bars.
-> Interval - Resamples based on time in multiples of current charting timeframe.
-> PA - Resamples based on changes in price action by a specified size. The PA algorithm in this script is derived from my Range Filter algorithm.
The range for PA method can be sized in points, pips, ticks, % of price, ATR, average change, and absolute quantity.
Utilizing downsampled rates allows you to visualize the reverse engineered values of an oscillator calculated at larger sample scales.
This can be rather beneficial for trend analysis since lower sample rates completely remove certain levels of noise.
By default, the sample rate is set to 1 BPS, which is the same as bar-to-bar calculation. Feel free to experiment with the sample rate parameters and configure them how you like.
Custom bar colors are included as well. The color scheme is based on disparity between sources and the reverse engineered center level.
In addition, background highlights are included to indicate when price is outside the bands, thus indicating "overbought" and "oversold" conditions according to the thresholds you set.
I also included four external output variables for easy integration of signals with other scripts:
-> Trend Signals (Current Resolution Prices) - Outputs 1 for bullish and -1 for bearish based on disparity between current resolution source and the central level output.
-> Trend Signals (Resampled Prices) - Outputs 1 for bullish and -1 for bearish based on disparity between resampled source and the central level output.
-> Outside Band Signal (Current Resolution Prices) - Outputs 1 for overbought and -1 for oversold based on current resolution source being outside the bands. Returns 0 otherwise.
-> Outside Band Signal (Resampled Prices) - Outputs 1 for overbought and -1 for oversold based on resampled source being outside the bands. Returns 0 otherwise.
To use these signals with another script, simply select the corresponding external output you want to use from your script's source input dropdown tab.
Reverse engineering oscillators is a simple, yet powerful approach to incorporate into your momentum or trend analysis setup.
By incorporating projected price levels from oscillators into our analysis setups, we are able to gain valuable insights, make (potentially) smarter trading decisions, and visualize the oscillators we know and love in a totally different way.
I hope you all find this script useful and enjoyable!
Linear Regression AnalysisJust another linear regression tool to play with :)
I have to say that linear regression is one of my favorite indictor so i just try to play to show
how its we can make it smarter:)
the dashed lines are represent linear regression clone with high low and mid level shown.
the blue thin line show longer trend projection
the trend is option that can use for shorter trend
Hyper Frame Fibo MA RibbonsIntroduction
Moving averages are an integral part of the TA world. There are different types of moving averages and each person uses them depending on their strategy and market conditions.
Meanwhile, the main variable in calculating the averages is their LENGTH. This value is optional, but not every value is applicable.
After much experience in the world of financial markets, I came to the conclusion that although the most popular length values are 20, 50, 100, and 200, the Fibonacci number come with surprising results .
Description
The following script calculates seven averages with the length of Fibonacci numbers (34, 55, 89, 144, 233, 377 and 610) with the formula of your choice (SMA, EMA, WMA, HMA) and shows that we named it FiboMa .
You can also have Bollinger Bands with the desired frame at the same time.
This is not the whole story...
You can see the same values from smaller or larger frames at the same time!
We named this feature Hyper Frame Vision .
It is possible to display values for FiboMa up to three hyper frames (with the main frame a total of 4 levels) and in the Bollinger Bands one hyper frame (with the main frame a total of 2 levels).
By default, the display of FiboMa hyper frame values is limited to the last 10 bars, which you can change to an arbitrary value by changing the source code.
The display of hyper frame values is not limited for Bollinger Band.
What is its use? What is it good for?
Support and Resistance
Using dynamic support / resistance is much smarter than static! This protects you from the risk of many fake breaks, and your profit and loss limits will be more flexible and more efficient.
The intersection of FiboMa ribbons are potential points of support / resistance.
We use colors to easily identify supports / resistances.
Any average lower than the price is assumed as support and displayed in green, and any average above the price is assumed as resistance so displayed in red.
So the color of the averages is dynamic.
The color of FiboMa is a range from red to green. Whatever colors get saturated , the lenght is longer and the more power it has as support / resistance.
Volatility
With this script, you also have the ability to monitor the amount of market volatility ! The combination of Bollinger Bands and FiboMa provides a clear view of the market volatility.
The decrease and compression of the FiboMa width is a sign of a decrease in volatility and vice versa.
Trend
I don't see the need for additional explanation, only whenever the price is higher than the middle band , the BB cloud is green , and whenever it is lower , is red .
The wider FiboMa means the stronger trend.
How to use
In the script settings you have the ability to enable or disable anything except.
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Similar scripts have been published before and we were inspired by them and tried to improve idea and code uniqe one.
I hope it will be useful .. Support us with your likes and comments .. We have anothers great script .. Just started.
BitMEX Liquidation LevelsThis indicator plots BitMEX liquidation levels:
- 25x
- 50x
- 100x
The indicator works as following:
The underlying assumption (as with all liquidation calculations) obviously is that traders used fixed margin or go "all in" on their cross-margin account.
You then can configure a minimum trade volume and a minimum price change in percent for a candle to start computing liquidation levels from that candle
Additionally: configure the price base for the liqudation level: Candle high or low (default) works well, but you can also set "candle close" or "median high/low"
The indicator will then plot horizontal lines on the main chart showing price levels where many positions opened at the configured "start candle" will likely get liquidated.
It works for all BitMEX contracts and while it has been optimized for BitMEX, it will work on other exchanges with the same leverage levels (25x, 50x, 100x) and maintenance margin requirements too.
This indicator uses the Smart Volume indicator to compute the volume at the "start volume candle" setting where the liquidation level starts. This indicator can be found here: Smart Volume:
Price-Line Channel - A Friendly Support And Resistance IndicatorIntroduction
Lines are the most widely used figures in technical analysis, this is due to the linear trends that some securities posses (daily log SP500 for example), support and resistances are also responsible for the uses of lines, basically linear support and resistances are made with the assumption that the line connecting two local maximas or minimas will help the user detect a new local maxima or minima when the price will cross the line.
Technical indicators attempting to output lines have always been a concern in technical analysis, the mostly know certainly being the linear regression, however any linear models would fit in this category. In general those indicators always reevaluate their outputs values (repainting), others non repainting indicators returning lines are sometimes to impractical to set-up. This is what has encouraged me to make a simpler indicator based on the framework used in the recursive bands indicator that i published.
The proposed indicator aim to be extremely flexible and easy to use while returning linear support and resistances, an option that allow readjustment is also introduced, thus allowing for a "smarter" indicator.
The Indicator
The indicator return two extremities, the upper one aim to detect resistance points while the lower one aim to detect support points. The length setting control the steepness of the line, with higher values of length involving a lower slope, this make the indicator less reactive and interact with the price less often.
The name "price-line" comes from the fact that the channel is dependent on its own interaction with the price, therefore a breakout methodology can also be used, where price is up-trending when crossing with the upper extremity and down trending when crossing with the lower one.
Readjusted Option
The line steepness can be readjusted based on the market volatility, it make more sense for the line to be more steep when the market is more volatile, thus making it converge faster toward the price, this of course is done at the cost of some linearity. This is achieved by checking the "readjustment" option. The effects can be shown on BTCUSD, below the indicator without the readjusted option :
when the "readjustment" option is checked we have the following results :
The volatile down movement on BTCUSd make the upper extremity converge faster toward the price, this option can be great for volatile markets.
Conclusion
The recursive bands indicator prove to be an excellent framework that allow for the creation of lots of indicators, the proposed indicator is extremely efficient and provide an easy solution for returning linear support and resistances without much drawbacks, the readjusted option allow the indicator to adapt to the market volatility at the cost of linearity.
The performance of the indicator is relative to the motion of the price, however the indicator show signs of returning accurate support and resistances points. I hope the indicator find its use in the community.
Thanks for reading !
Note
Respect the house rules, always request permission before publishing open source code. This is an original work, requesting permission is the least you can do.
T-Step LSMAIntroduction
The trend step indicator family has produced much interest in the community, those indicators showed in certain cases robustness and reactivity. Their ease of use/interpretation is also a major advantage. Although those indicators have a relatively good fit with the input price, they can still be improved by introducing least-squares fitting on their calculations. This is why i propose a new indicator (T-Step LSMA) which aim to gather all the components of the trend-step indicator family (including the auto-line family).
The indicator will use as a threshold the mean absolute error between the input and the output (T-Channel) scaled with the efficiency ratio (Efficient Trend Step) while using least squares in order to provide a better fit with the price (Auto-Filter).
The Indicator
The interpretation of the indicator is easy, the indicator estimate an up-trending market when in blue, down-trending when in orange, the signal only depend on the trend-step part ( b in the code).
length control the period of the efficiency ratio as well as any components in the lsma calculation. The efficiency ratio allow to provide adaptivity, therefore the threshold will be lower when market is trending and higher when market is ranging.
Sc control the amount of feedback of the indicator, a value of 1 will use only the closing price as input, a value of 0.5 will use 50% of the closing price/indicator output as input, this allow to get smoother results.
It is possible to get the non-smooth version of the indicator by checking "No Smoothing".
This allow the indicator to filter more information.
Least Squares Smoothing - Benefits
One could ask why introducing least squares smoothing, there are several reasons to this choice, we have seen that trend-step indicators are boxy, they filter most of the variational information in the price, introducing least squares smoothing allow to gain back some of this variational information while providing a better fit with the price, the indicator is more noisy but also more practical in certain situations.
For example the indicator in its boxy form can't really be useful as input for other indicators, which is not the case with this version.
Relative strength index of period 14 using the proposed indicator as input.
Down-Sides
The indicator is dependent on the time frame used, larger time frames resulting in an indicator overfitting, sticking with lower time frames might be ideal. The indicator behavior might also change depending on the market in which it is applied.
Setting Up Alerts For The Indicator
Alerts conditions are already set, in order to create an alert based on the indicator follow these steps :
Go to the alert section (the alarm clock) -> create new alert -> select T-Step LSMA in condition -> Below select Up or Dn (Up for a up-trending alert and Dn for a down-trending alert)
In option select "once per bar close", change the message if you want a personalized message.
Conclusion
I don't think i'll post other indicators related to the trend-step framework for the time to comes, nonetheless the ones posted proven to have interesting results as well as many upsides. Although i don't think they would generate positive long-terms returns they could still be of use when using smarter volatility metrics as threshold. The proposed indicator conserve more information than its relatives and might find some use as input for other indicators.
Recommended Use Of The Code
Although i don't put restrictions on the code usage, i still recommend creative and pertinent changes to be made, graphical changes or any minor changes are not necessary, remember that such practice is disrespectful toward the author, you don't want to load up the tradingview servers for nothing right ?
Support Me
Making indicators sure is hard, it takes time and it can be quite lonely to, so i would love talking with you guys while making them :) There isn't better support than the one provided by your friends so drop me a message.
Kaufman Adaptive Least Squares Moving AverageIntroduction
It is possible to use a wide variety of filters for the estimation of a least squares moving average, one of the them being the Kaufman adaptive moving average (KAMA) which adapt to the market trend strength, by using KAMA in an lsma we therefore allow for an adaptive low lag filter which might provide a smarter way to remove noise while preserving reactivity.
The Indicator
The lsma aim to minimize the sum of the squared residuals, paired with KAMA we obtain a great adaptive solution for smoothing while conserving reactivity. Length control the period of the efficiency ratio used in KAMA, higher values of length allow for overall smoother results. The pre-filtering option allow for even smoother results by using KAMA as input instead of the raw price.
The proposed indicator without pre-filtering in green, a simple moving average in orange, and a lsma with all of them length = 200. The proposed filter allow for fast and precise crosses with the moving average while eliminating major whipsaws.
Same setup with the pre-filtering option, the result are overall smoother.
Conclusion
The provided code allow for the implementation of any filter instead of KAMA, try using your own filters. Thanks for reading :)
Kaufman Adaptive Moving AverageKaufman Adaptive Moving Average script.
This indicator was originally developed by Perry J. Kaufman (`Smarter Trading: Improving Performance in Changing Markets`, 1995).
Candle CountingI was talking with one of the biggest hedge fund traders in the world the other day. He goes to me, "Brian, why don't you come and work for us, since you're a better trader than anyone at our firm?" Well I said I would, but there's no one there with an iq as high as mine, so I'd have no one to talk to when I'm eatin my sammiches. Man I'm a savant mate, I'm a f***ing CANDLE COUNTER. I tell people all the time, know your market. And that's your tip of the day really, I mean nobody out there knows Yen better than me. I mean the other day I was 70,000 in the hole, but I didn't get out, I was balls deep making a cheese sammich on the George Forman. Now I mean you can try and do what I'm doing, but understand something, I am 100% smarter than you, and your machines. In the industry, they call me Mr. Yen, I touch the sun, and my d*ck, regularly.
Equinox Wolf - ICT MacrosEquinox Wolf – ICT Macros plots the key ICT session macro windows on your chart so you can focus on how price behaves inside each time range. The script anchors every session to America/New_York time, updates live or in backtesting, and only keeps the current trading day on screen, avoiding clutter from prior sessions. Each window can be toggled individually, the box fill, borders, and high/low/equilibrium levels share global color and style controls, and the levels extend forward until the next macro begins. Use it to highlight the ICT LND, NYAM, lunch, afternoon, and final-hour ranges and monitor how price reacts around their highs, lows, and midpoints.
Dammu AI ADVANCED PRO1. Indicator Overview
Name: Dammu
Type: Overlay indicator (draws on price chart)
Purpose: Combines SuperTrend, SMA/EMA trends, Swing/Structure analysis, Order Blocks, Fair Value Gaps, High/Low levels, TP/SL labels, and alerts.
Pine Script Version: v5
2. SuperTrend Module
Computes SuperTrend line using ATR and sensitivity.
Signals:
Bullish: Price crosses above SuperTrend.
Bearish: Price crosses below SuperTrend.
Plots buy/sell labels 🚀🐻 based on SMA comparison and SuperTrend cross.
3. SMA/EMA Trend Components
SMA8 & SMA9: Used for additional trend confirmation.
EMA lines: Multiple EMAs with different multipliers for trend detection.
Trend Cloud: Uses Hull MA for trend smoothing.
4. Risk Management
TP/SL Levels: Automatic calculation of stop-loss and take-profit (TP1, TP2, TP3).
Configurable ATR-based risk percentage.
Lines and labels drawn for visual TP/SL.
5. Chart Features
Smooth Range Filter: Filters noise for trend detection.
Colored Trend Cloud: Upward trend = cyan, downward = red.
Sideways Market: ADX filter to color bars purple if trend is weak/sideways.
Bar Colors: Green/red based on SuperTrend signals.
6. Swing & Structure Analysis
Detects Swing Highs/Lows, labels as HH, LH, LL, HL.
Detects CHoCH (Change of Character) or BOS (Break of Structure).
Can show internal or swing structures with configurable label size and color.
7. Order Blocks (Smart Money Concepts)
Detects Internal Order Blocks (iOB) and Swing Order Blocks (OB).
Stores top/bottom/left/time/type in arrays.
Colors and shows boxes based on bullish/bearish type.
Automatically deletes OB if price breaks the block.
8. Fair Value Gaps (FVG)
Identifies gaps between candles as potential trading zones.
Configurable bullish/bearish colors and extension bars.
9. EQH/EQL (Equal Highs/Lows)
Detects equal highs/lows using a threshold.
Plots dotted lines and labels EQH/EQL.
10. High/Low Levels MTF
Optional plotting of previous daily, weekly, monthly highs/lows.
11. Premium/Discount Zones
Plots Premium, Discount, and Equilibrium Zones.
Colors: Premium = red, Discount = green, Equilibrium = gray.
12. Alerts
Buy/Sell alerts for:
SuperTrend crossover
BOS/CHoCH (swing/internal)
EQH/EQL triggers
13. Miscellaneous
Configurable visuals: line style, label size, transparency.
Adjustable volatility filters, ATR lengths, smoothing constants.
Integrated risk & reward visualization.
✅ In short:
This is an all-in-one Smart Money + Trend indicator with SuperTrend signals, swing/structure detection, order blocks, FVGs, EQH/EQL, TP/SL visualization, and optional alerts. It’s designed for both trend-following and order-block-based trading.
If you want, I can make a super-short 1-paragraph version that summarizes it even faster for quick reference.
Cross3x v2Cross3x – Smart Trend & Rejection Detection System
Cross3x is a precision trading indicator designed for traders who combine trend-following with early reversal detection. Built on a triple moving average core, it delivers high-quality signals with minimal noise and maximum clarity.
Core Features:
Trend Filtered Crossover: Uses a fast EMA (18), slow EMA (33), and long-term SMA (99) to generate reliable entry signals only in the direction of the dominant trend.
Dynamic SL/TP/BE Management:
Stop Loss placed at the lowest/highest extreme over a user-defined lookback.
Take Profit calculated using a customizable Risk/Reward ratio.
Break-Even level set as a percentage between entry and TP (e.g., 10% = BE just above entry).
Early Rejection Signals: Flags potential reversals when price tests a moving average with a long wick during a countertrend candle — ideal for spotting pullbacks before the next leg.
Green flag: "Potential Long Setup" after a bullish rejection.
Red flag: "Potential Short Setup" after a bearish rejection.
Confirmation Points: Circles appear when price retraces cleanly after a crossover, signaling optimal entry zones.
Interactive Dashboard: Real-time table showing current signal, SL, and TP levels.
Customizable Alerts: Fully configurable alerts for entries, confirmation points, and rejection setups.
Why Use Cross3x?
It doesn’t just follow trends — it anticipates them. By combining classical crossovers with smart rejection logic and structured risk management, Cross3x helps you enter earlier, manage risk better, and stay aligned with market momentum.
Perfect for swing traders, intraday scalpers, and algorithmic strategies seeking a clean, robust foundation.
Usage Tips:
Combine "Potential" flags with order blocks or key levels for higher accuracy.
Use confirmation circles as entry triggers after early setups.
Adjust RR and BE% based on volatility and trading style.
Deploy Cross3x to turn simple crossovers into a complete trading methodology.
Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)This indicator — “Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)” — automatically detects and visualizes swing highs, swing lows, and liquidity levels on the chart with rich analytics and customizable visuals.
🔍 Core Features
Smart Swing Detection: Identifies pivot highs/lows based on adjustable left/right bar settings.
Liquidity Visualization: Draws dynamic boxes and lines for liquidity pools and swing zones.
Volume & OI Integration: Filters and colors levels using volume and Open Interest Δ (change).
Strength Meter: Highlights strong liquidity levels with color gradients based on OI + volume intensity.
Automatic Trendlines: Connects swing points with selectable style and width.
Fibonacci Mapping: Automatically projects fib retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) from swing-to-swing for confluence zones.
Statistics Panel: Displays live metrics — total levels, active/filled count, success rate, and average strength.
Alerts System: Alerts for new swing formations and when price touches or breaks a level.
Multi-Timeframe Option: Analyze swing structures from higher timeframes on any chart.
Dual Theme Mode: Fully optimized for both Dark and Light interface preferences.
⚙️ Advanced Options
Adjustable lookback range
Hide or extend filled levels
Configurable volume and OI thresholds
Supports multiple OI data sources (Binance, BitMEX, Kraken)
Fully dynamic text, color, and label alignment settings
💡 Use Case
Perfect for Smart Money Concept (SMC) and ICT-style analysis, liquidity sweeps, and swing-based trading.
Traders can quickly visualize where liquidity sits, track how it gets filled, and monitor structure shifts in real time.
US30 Quarter Levels (125-point grid) by FxMogul🟦 US30 Quarter Levels — Trade the Index Like the Banks
Discover the Dow’s hidden rhythm.
This indicator reveals the institutional quarter levels that govern US30 — spaced every 125 points, e.g. 45125, 45250, 45375, 45500, 45625, 45750, 45875, 46000, and so on.
These are the liquidity magnets and reaction zones where smart money executes — now visualized directly on your chart.
💼 Why You Need It
See institutional precision: The Dow respects 125-point cycles — this tool exposes them.
Catch reversals before retail sees them: Every impulse and retracement begins at one of these zones.
Build confluence instantly: Perfectly aligns with your FVGs, OBs, and session highs/lows.
Trade like a professional: Turn chaos into structure, and randomness into rhythm.
⚙️ Key Features
Automatically plots US30 quarter levels (…125 / …250 / …375 / …500 / …625 / …750 / …875 / …000).
Color-coded hierarchy:
🟨 xx000 / xx500 → major institutional levels
⚪ xx250 / xx750 → medium-impact levels
⚫ xx125 / xx375 / xx625 / xx875 → intraday liquidity pockets
Customizable window size, label spacing, and line extensions.
Works across all timeframes — from 1-minute scalps to 4-hour macro swings.
Optimized for clean visualization with no clutter.
🎯 How to Use It
Identify liquidity sweeps: Smart money hunts stops at these quarter zones.
Align structure: Combine with session opens, order blocks, or FVGs.
Set precision entries & exits: Trade reaction-to-reaction with tight risk.
Plan daily bias: Watch how New York respects these 125-point increments.
🧭 Designed For
Scalpers, day traders, and swing traders who understand that US30 doesn’t move randomly — it moves rhythmically.
Perfect for traders using ICT, SMC, or liquidity-based frameworks.
⚡ Creator’s Note
“Every 125 points, the Dow breathes. Every 1000, it shifts direction.
Once you see the rhythm, you’ll never unsee it.”
— FxMogul
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap!
🧠 Description
This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure.
🔍 Why Friday & Monday matter
Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias.
Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders.
Together, these two days define the range traps and breakout zones that often control price action until midweek.
> In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike.
🧩 What this tool does
✅ Highlights Friday (red) and Monday (green) sessions
✅ Adds optional day labels above bars
✅ Works across all timeframes (best on 15min to 1hr charts)
✅ Helps you visually identify where institutions likely built their positions
Use it to quickly spot:
* Range boundaries that trap traders
* Gap zones likely to get filled
* High–low sweeps before reversals
⚙️ Recommended Use
1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday.
2. When Monday holds above Friday’s high , breakout continuation is likely.
3. When Monday fails below Friday’s low , expect a reversal or trap.
4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation.
⚠️ Disclaimer
This indicator is for **educational and analytical purposes only**.
It does **not constitute financial advice** or a trading signal.
Markets are dynamic — always perform your own research before trading or investing.
Illuminati Zone🟣 Illuminati Zone — Hidden Power of the 11 PM NZ Candle
The Illuminati Zone reveals the hidden footprints of liquidity and market imbalance formed by the 11 PM New Zealand 15-minute candle — a time when global liquidity transitions between major sessions.
This candle often defines key intraday supply and demand boundaries, serving as a magnet for price and a pivot point for high-probability reversals or breakouts.
🧠 How it works
Automatically detects and marks the 11 PM NZ 15-minute candle each day.
Draws a translucent zone box between its high and low.
Extends two reference lines at +1 × range and –1 × range above and below the zone — ideal for spotting overextensions or liquidity sweeps.
Supports custom lookback, colors, and visual options.
💡 How to use it
Watch how price interacts with the zone — rejection often signals smart-money activity.
Use +1 and –1 levels as overextended zones for potential reversals or breakout retests.
Combine with your own confluence tools or volume analysis for precision entries.
⚙️ Customization Options
Target hour (NZ time)
Days back to display
Zone and line colors
Transparency and visual preferences
🔮 Pro Tip: Pair it with a volume or imbalance indicator for surgical-level precision in identifying where smart money positions are built or released.
Wyckoff Effort vs. Result📌 Wyckoff Effort vs. Result (E/R) – Visualizing Supply & Demand Imbalance with Volume Confirmation
📖 Overview
The Wyckoff Effort vs. Result (E/R) indicator is designed to help traders interpret market behavior through the lens of volume vs. price movement — a foundational concept in Richard Wyckoff’s methodology.
This tool aims to highlight moments where the “effort” (volume) is not in proportion to the “result” (price movement) — giving insight into potential accumulation or distribution events.
By detecting high-volume candles and classifying them based on their price direction, the indicator visualizes zones where smart money might be active .
⚙️ How It Works
1. Effort Accumulation (High Volume Down Bar):
• When a candle closes lower than it opens (down bar) and has above-average volume , it’s marked as potential absorption of selling pressure (effort to push down met by buying).
• These candles are colored red and the open level is plotted, acting as a potential support or re-test zone.
2. Effort Distribution (High Volume Up Bar):
• When a candle closes higher than it opens (up bar) and has above-average volume , it’s marked as potential distribution (effort to push up absorbed by sellers).
• These candles are colored green and the open level is plotted , acting as a potential resistance or rejection zone.
3. Average Volume Calculation:
• The script calculates a simple moving average (SMA) of volume over a user-defined lookback period.
• If current volume exceeds the average multiplied by a set threshold, it’s treated as a high-effort bar .
🧪 Inputs
Input Description
Average Volume Lookback - Number of bars used to calculate the volume average
High Volume Multiplier. - Multiplier to define what qualifies as “high volume”
🖥️ Visual Output
• 🔴 Red candles = High volume on a down bar → possible accumulation
• 🟢 Green candles = High volume on an up bar → possible distribution
• 📉 Horizontal lines at bar open price mark the potential zones where effort occurred
These zones can serve as:
• Areas of support/resistance
• Trap zones where smart money absorbs liquidity
• Entry/exit filters when combined with price action
🧠 How to Use
• Use in combination with price structure, support/resistance, and volume profile tools
• Watch how price reacts when it revisits the plotted lines
• Look for effort bars that fail to lead to continuation, signaling potential reversal
• Can be used in scalping, swing trading, or Wyckoff-style phase analysis
🔒 Technical Notes
• ✅ Does not repaint
• ✅ Built with Pine Script v6
• ✅ Lightweight and customizable
• ❌ Does not generate buy/sell signals — it provides context, not predictions
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial
Table of Contents
Installation
Understanding the Indicator
Signal Interpretation
Settings Configuration
Trading Strategies
Best Practices
Common Mistakes to Avoid
1. Installation {#installation}
Step-by-Step Setup:
Step 1: Access TradingView
Go to TradingView.com
Log in to your account (free account works fine)
Step 2: Open Pine Editor
Click on "Pine Editor" at the bottom of the chart
If you don't see it, go to the top menu and select "Pine Editor"
Step 3: Add the Script
Click "New" to create a new indicator
Delete any default code
Copy the entire Institutional Activity Detector code
Paste it into the editor
Step 4: Save and Apply
Click "Save" (give it a name like "Inst Detector")
Click "Add to Chart"
The indicator will now appear on your chart
2. Understanding the Indicator {#understanding}
What It Detects:
This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing:
Volume Analysis
Detects unusual volume spikes that indicate large players entering
Compares current volume to 20-period average
Institutional trades create volume 2-5x normal levels
Order Flow
Delta: Difference between buying and selling volume
Positive delta = More buying pressure
Negative delta = More selling pressure
Institutions leave "footprints" in order flow
Price Action Patterns
Bullish Rejection Wicks:
| <- Small upper wick
|
███ <- Small body
███
|
|
| <- Large lower wick (rejection)
Indicates institutions bought aggressively at lower prices
Bearish Rejection Wicks:
|
|
| <- Large upper wick (rejection)
|
███ <- Small body
███
| <- Small lower wick
Indicates institutions sold aggressively at higher prices
Liquidity Grabs
Institutions often:
Push price above resistance or below support
Trigger stop losses (grab liquidity)
Reverse direction and trade the other way
Dark Pool Activity
Large block trades executed off-exchange:
High volume with minimal price movement
Indicates institutional accumulation/distribution without moving price
3. Signal Interpretation {#signals}
Signal Types:
🟢 INSTITUTIONAL BUY Signal
Appears as green triangle below candle with strength number (2-5)
What it means:
Institutions are actively accumulating (buying)
Higher strength = More confirmation factors
Strength Levels:
2-3: Moderate confidence - Wait for confirmation
4: High confidence - Strong institutional interest
5: Maximum confidence - Multiple factors aligned
🔴 INSTITUTIONAL SELL Signal
Appears as red triangle above candle with strength number (2-5)
What it means:
Institutions are actively distributing (selling)
Higher strength = More confirmation factors
🟠 Dark Pool (DP) Marker
Small orange diamond
What it means:
Large block trade executed
Accumulation/distribution happening quietly
Often precedes significant moves
Liquidity Zones
Red boxes above price = Resistance/sell liquidity
Green boxes below price = Support/buy liquidity
Institutions target these zones to trigger stops
4. Settings Configuration {#settings}
Recommended Settings by Asset Type:
For Stocks (SPY, AAPL, TSLA):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 1H
For Forex (EUR/USD, GBP/USD):
Volume Spike Multiplier: 1.5
Volume Average Period: 30
Delta Threshold: 65%
Minimum Signal Strength: 3
Timeframe: 15m, 1H, 4H
For Crypto (BTC, ETH):
Volume Spike Multiplier: 2.5
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 4
Timeframe: 15m, 1H, 4H
For Futures (ES, NQ):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 75%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 30m
Parameter Explanations:
Volume Spike Multiplier (1.0 - 10.0)
Lower = More sensitive (more signals, some false)
Higher = Less sensitive (fewer signals, more reliable)
Start with 2.0 and adjust based on your asset's volatility
Delta Threshold % (50 - 100)
Measures buying vs selling pressure
70% = Strong institutional bias required
Lower for ranging markets, higher for trending
Minimum Signal Strength (2 - 5)
Number of factors that must align for a signal
2 = Very sensitive (many signals)
5 = Very conservative (rare signals)
Recommended: 3-4 for balance
5. Trading Strategies {#strategies}
Strategy 1: Liquidity Grab Reversal
Setup:
Price approaches a liquidity zone (green/red box)
Price penetrates the zone briefly
Institutional BUY/SELL signal appears
Price reverses away from the zone
Entry:
Enter on the signal candle close
Or wait for next candle confirmation
Stop Loss:
Below the liquidity grab low (for buys)
Above the liquidity grab high (for sells)
Take Profit:
2:1 or 3:1 risk/reward ratio
Or next opposing liquidity zone
Example:
Price drops below support → Triggers stops →
Institutional BUY signal (4-5 strength) →
Enter LONG → Price rallies
Strategy 2: Trend Continuation
Setup:
Identify the trend (higher highs/higher lows for uptrend)
Wait for pullback to support in uptrend
Institutional BUY signal appears during pullback
Confirms institutions are adding to positions
Entry:
Enter on signal with strength ≥ 4
Or next candle after signal
Stop Loss:
Below the pullback low + small buffer
Take Profit:
Previous swing high
Or trailing stop using ATR
Strategy 3: Dark Pool Accumulation
Setup:
Dark Pool (DP) markers appear multiple times
Price consolidates in tight range
Institutional BUY signal with high strength appears
Breakout occurs
Entry:
Enter on breakout candle after signal
Or on retest of breakout level
Stop Loss:
Below consolidation range
Take Profit:
Measured move (height of consolidation projected)
Strategy 4: Divergence Play
Setup:
Price makes lower low
MFI/RSI makes higher low (bullish divergence)
Institutional BUY signal appears
Volume confirms with spike
Entry:
Enter on signal candle or next
Stop Loss:
Below the divergence low
Take Profit:
Previous swing high or resistance
6. Best Practices {#best-practices}
✅ DO's:
1. Use Multiple Timeframes
Check higher timeframe for trend direction
Trade signals that align with higher timeframe
Example: 15m signals in direction of 1H trend
2. Combine with Key Levels
Support/resistance
Supply/demand zones
Previous day high/low
Round numbers (psychological levels)
3. Wait for Confirmation
Don't rush into trades
Let the signal candle close
Watch next candle for follow-through
4. Check the Metrics Table
Look at Relative Volume (should be >2.0)
Check Delta % (should be strong positive/negative)
Verify Order Flow aligns with signal
5. Consider Market Context
News events can override signals
Low liquidity times (lunch, overnight) less reliable
Major economic releases need caution
6. Paper Trade First
Test the indicator for 2-4 weeks
Learn how it behaves on your chosen assets
Develop confidence before using real money
Best Times to Trade:
Stock Market Hours:
9:30-11:30 AM EST (high volume, strong moves)
2:00-4:00 PM EST (institutional positioning)
Avoid: 11:30 AM-2:00 PM (lunch, low volume)
Forex:
London Open: 3:00-6:00 AM EST
New York Open: 8:00-11:00 AM EST
London/NY Overlap: 8:00 AM-12:00 PM EST
Crypto:
24/7 market, but highest volume during US/European hours
Watch for weekend low liquidity
7. Common Mistakes to Avoid {#mistakes}
❌ DON'T:
1. Trade Every Signal
Not all signals are equal
Focus on strength 4-5 signals
Wait for optimal setups
2. Ignore Market Structure
Don't buy into strong downtrends (catch falling knife)
Don't sell into strong uptrends (fight the tape)
Respect major support/resistance
3. Use Too Small Timeframes
1m and 2m charts are too noisy
Minimum recommended: 5m for scalping
Better: 15m, 30m, 1H for reliability
4. Overtrade
Quality over quantity
2-5 good trades per day is excellent
Forcing trades leads to losses
5. Ignore Risk Management
Always use stop losses
Risk only 1-2% per trade
Don't revenge trade after losses
6. Trade During Low Volume
Signals less reliable with low volume
Check Relative Volume metric (should be >1.5)
Avoid pre-market/after-hours for stocks
7. Misread Liquidity Grabs
Not every wick is a liquidity grab
Need volume confirmation
Must have institutional signal
Advanced Tips:
Filtering False Signals:
Use Signal Strength Filter:
Minimum strength 3 = Balanced
Minimum strength 4 = Conservative (recommended)
Minimum strength 5 = Ultra conservative
Confluence Checklist:
Signal strength ≥ 4
Relative volume > 2.0
At key support/resistance
Aligns with higher timeframe trend
Delta % strongly positive/negative
Clean price action setup
If 4+ boxes checked = High probability trade
Setting Up Alerts:
Click the three dots on the indicator
Select "Create Alert"
Choose condition:
"Institutional Buy Signal"
"Institutional Sell Signal"
"Dark Pool Activity"
Set up notification (email, SMS, app)
Save alert
Alert Strategy:
Set minimum strength to 4 for fewer, better alerts
Use for assets you can't watch constantly
Don't rely solely on alerts - check chart context
Practice Exercise:
Week 1-2: Observation
Add indicator to your favorite assets
Watch how signals develop
Note which ones lead to profitable moves
Don't trade yet - just observe
Week 3-4: Paper Trading
Use TradingView's paper trading
Trade only strength 4-5 signals
Record results in a journal
Note: entry, exit, profit/loss, what worked/didn't
Week 5+: Small Live Positions
Start with smallest position size
Trade only your best setups
Gradually increase size as you gain confidence
Keep detailed journal
Quick Reference Card:
Signal Quality Ranking:
🔥 Best Setups (Take These):
Strength 5 + Liquidity grab + Key level
Strength 4-5 + Volume >3.0 + Trend alignment
Dark Pool markers + Strength 4+ signal
✅ Good Setups:
Strength 4 at support/resistance
Strength 3-4 with strong delta
Liquidity grab + Strength 3+
⚠️ Caution (Wait for More):
Strength 2-3 in middle of nowhere
Against higher timeframe trend
Low volume (Rel Vol <1.5)
❌ Avoid:
Strength 2 only
During major news
Low liquidity hours
Against strong trend
Troubleshooting:
"Too many signals"
→ Increase Minimum Signal Strength to 4
→ Increase Volume Spike Multiplier to 2.5-3.0
"Too few signals"
→ Decrease Minimum Signal Strength to 2-3
→ Decrease Volume Spike Multiplier to 1.5
"Signals not working"
→ Check if you're trading during low volume hours
→ Verify you're using recommended timeframes
→ Make sure signals align with market structure
"Can't see liquidity zones"
→ Enable "Show Liquidity Zones" in settings
→ Adjust Swing Detection Length (try 7-15)
Resources for Further Learning:
Concepts to Study:
Order Flow Trading
Market Profile / Volume Profile
Smart Money Concepts (SMC)
Liquidity Sweeps and Stop Hunts
Institutional Order Flow
Wyckoff Method
Volume Spread Analysis (VSA)
Recommended Practice:
Study past signals on chart
Replay market using TradingView's bar replay feature
Join trading communities to share setups
Keep a detailed trading journal
Final Thoughts:
This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires:
Proper risk management
Market context understanding
Patience and discipline
Continuous learning
Success Formula:
Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits
Start slow, master the basics, and gradually increase complexity as you gain experience.
Good luck and trade smart! 📊📈
