Physics CandlesPhysics Candles embed volume and motion physics directly onto price candles or market internals according to the cyclic pattern of financial securities. The indicator works on both real-time “ticks” and historical data using statistical modeling to highlight when these values, like volume or momentum, is unusual or relatively high for some periodic window in time. Each candle is made out of one or more sub-candles that each contain their own information of motion, which converts to the color and transparency, or brightness, of that particular candle segment. The segments extend throughout the entire candle, both body and wicks, and Thick Wicks can be implemented to see the color coding better. This candle segmentation allows you to see if all the volume or energy is evenly distributed throughout the candle or highly contained in one small portion of it, and how intense these values are compared to similar time periods without going to lower time frames. Candle segmentation can also change a trader’s perspective on how valuable the information is. A “low” volume candle, for instance, could signify high value short-term stopping volume if the volume is all concentrated in one segment.
The Candles are flexible. The physics information embedded on the candles need not be from the same price security or market internal as the chart when using the Physics Source option, and multiple Candles can be overlayed together. You could embed stock price Candles with market volume, market price Candles with stock momentum, market structure with internal acceleration, stock price with stock force, etc. My particular use case is scalping the SPX futures market (ES), whose price action is also dictated by the volume action in the associated cash market, or SPY, as well as a host of other securities. Physics allows you to embed the ES volume on the SPY price action, or the SPY volume on the ES price action, or you can combine them both by overlaying two Candle streams and increasing the Number of Overlays option to two. That option decreases the transparency levels of your coloring scheme so that overlaying multiple Candles converges toward the same visual color intensity as if you had one. The Candle and Physics Sources allows for both Symbols and Spreads to visualize Candle physics from a single ticker or some mathematical transformation of tickers.
Due to certain TradingView programming restrictions, each Candle can only be made out of a maximum of 8 candle segments, or an “8-bit” resolution. Since limits are just an opportunity to go beyond, the user has the option to stack multiple Candle indicators together to further increase the candle resolution. If you don’t want to see the Candles for some particular period of the day, you can hide them, or use the hiding feature to have multiple Candles calibrated to show multiple parts of the trading day. Securities tend to have low volume after hours with sharp spikes at the open or close. Multiple Candles can be used for multiple parts of the trading day to accommodate these different cycles in volume.
The Candles do not need be associated with the nominal security listed on the TV chart. The Candle Source allows the user to look at AAPL Candles, for instance, while on a TSLA or SPY chart, each with their respective volume actions integrated into the candles, for instance, to allow the user to see multiple security price and volume correlation on a single chart.
The physics information currently embeddable on Candles are volume or time, velocity, momentum, acceleration, force, and kinetic energy. In order to apply equations of motion containing a mass variable to financial securities, some analogous value for mass must be assumed. Traders often regard volume or time as inextricable variables to a securities price that can indicate the direction and strength of a move. Since mass is the inextricable variable to calculating the momentum, force, or kinetic energy of motion, the user has the option to assume either time or volume is analogous to mass. Volume may be a better option for mass as it is not strictly dependent on the speed of a security, whereas time is.
Data transformations and outlier statistics are used to color code the intensity of the physics for each candle segment relative to past periodic behavior. A million shares during pre-market or a million shares during noontime may be more intense signals than a typical million shares traded at the open, and should have more intense color signals. To account for a specific cyclic behavior in the market, the user can specify the Window and Cycle Time Frames. The Window Time Frame splits up a Cycle into windows, samples and aggregates the statistics for each window, then compares the current physics values against past values in the same window. Intraday traders may benefit from using a Daily Cycle with a 30-minute Window Time Frame and 1-minute Sample Time Frame. These settings sample and compare the physics of 1-minute candles within the current 30-minute window to the same 30-minute window statistics for all past trading days, up until the data limit imposed by TradingView, or until the Data Collection Start Date specified in the settings. Longer-term traders may benefit from using a Monthly Cycle with a Weekly Time Frame, or a Yearly Cycle with a Quarterly Time Frame.
Multiple statistics and data transformation methods are available to convey relative intensity in different ways for different trading signals. Physics Candles allows for both Normal and Log-Normal assumptions in the physics distribution. The data can then be transformed by Linear, Logarithmic, Z-Score, or Power-Law scoring, where scoring simply assigns an intensity to the relative physics value of each candle segment based on some mathematical transformation. Z-scoring often renders adequate detection by scoring the segment value, such as volume or momentum, according to the mean and standard deviation of the data set in each window of the cycle. Logarithmic or power-law transformation with a gamma below 1 decreases the disparity between intensities so more less-important signals will show up, whereas the power-law transformation with gamma values above 1 increases the disparity between intensities, so less more-important signals will show up. These scores are then converted to color and transparency between the Min Score and the Max Score Cutoffs. The Auto-Normalization feature can automatically pick these cutoffs specific to each window based on the mean and standard deviation of the data set, or the user can manually set them. Physics was developed with novices in mind so that most users could calibrate their own settings by plotting the candle segment distributions directly on the chart and fiddling with the settings to see how different cutoffs capture different portions of the distribution and affect the relative color intensities differently. Security distributions are often skewed with fat-tails, known as kurtosis, where high-volume segments for example, have a higher-probabilities than expected for a normal distribution. These distribution are really log-normal, so that taking the logarithm leads to a standard bell-shaped distribution. Taking the Z-score of the Log-Normal distribution could make the most statistical sense, but color sensitivity is a discretionary preference.
Background Philosophy
This indicator was developed to study and trade the physics of motion in financial securities from a visually intuitive perspective. Newton’s laws of motion are loosely applied to financial motion:
“A body remains at rest, or in motion at a constant speed in a straight line, unless acted upon by a force”.
Financial securities remain at rest, or in motion at constant speed up or down, unless acted upon by the force of traders exchanging securities.
“When a body is acted upon by a force, the time rate of change of its momentum equals the force”.
Momentum is the product of mass and velocity, and force is the product of mass and acceleration. Traders render force on the security through the mass of their trading activity and the acceleration of price movement.
“If two bodies exert forces on each other, these forces have the same magnitude but opposite directions.”
Force arises from the interaction of traders, buyers and sellers. One body of motion, traders’ capitalization, exerts an equal and opposite force on another body of motion, the financial security. A securities movement arises at the expense of a buyer or seller’s capitalization.
Volume
The premise of this indicator assumes that volume, v, is an analogous means of measuring physical mass, m. This premise allows the application of the equations of motion to the movement of financial securities. We know from E=mc^2 that mass has energy. Energy can be used to create motion as kinetic energy. Taking a simple hypothetical example, the interaction of one short seller looking to cover lower and one buyer looking to sell higher exchange shares in a security at an agreed upon price to create volume or mass, and therefore, potential energy. Eventually the short seller will actively cover and buy the security from the previous buyer, moving the security higher, or the buyer will actively sell to the short seller, moving the security lower. The potential energy inherent in the initial consolidation or trading activity between buy and seller is now converted to kinetic energy on the subsequent trading activity that moves the securities price. The more potential energy that is created in the consolidation, the more kinetic energy there is to move price. This is why point and figure traders are said to give price targets based on the level of volatility or size of a consolidation range, or why Gann traders square price and time, as time is roughly proportional to mass and trading activity. The build-up of potential energy between short sellers and buyers in GME or TSLA led to their explosive moves beyond their standard fundamental valuations.
Position
Position, p, is simply the price or value of a financial security or market internal.
Time
Time, t, is another means of measuring mass to discover price behavior beyond the time snapshots that simple candle charts provide. We know from E=mc^2 that time is related to rest mass and energy given the speed of light, c, where time ≈ distance * sqrt(mass/E). This relation can also be derived from F=ma. The more mass there is, the longer it takes to compute the physics of a system. The more energy there is, the shorter it takes to compute the physics of a system. Similarly, more time is required to build a “resting” low-volatility trading consolidation with more mass. More energy added to that trading consolidation by competing buyers and sellers decreases the time it takes to build that same mass. Time is also related to price through velocity.
Velocity = (p(t1) – p(t0)) / p(t0)
Velocity, v, is the relative percent change of a securities price, p, over a period of time, t0 to t1. The period of time is between subsequent candles, and since time is constant between candles within the same timeframe, it is not used to calculate velocity or acceleration. Price moves faster with higher velocity, and slower with slower velocity, over the same fixed period of time. The product of velocity and mass gives momentum.
Momentum = mv
This indicator uses physics definition of momentum, not finance’s. In finance, momentum is defined as the amount of change in a securities price, either relative or absolute. This is definition is unfortunate, pun intended, since a one dollar move in a security from a thousand shares traded between a few traders has the exact same “momentum” as a one dollar move from millions of shares traded between hundreds of traders with everything else equal. If momentum is related to the energy of the move, momentum should consider both the level of activity in a price move, and the amount of that price move. If we equate mass to volume to account for the level of trading activity and use physics definition of momentum as the product of mass and velocity, this revised definition now gives a thousand-times more momentum to a one-dollar price move that has a thousand-times more volume behind it. If you want to use finance’s volume-less definition of momentum, use velocity in this indicator.
Acceleration = v(t1) – v(t0)
Acceleration, a, is the difference between velocities over some period of time, t0 to t1. Positive acceleration is necessary to increase a securities speed in the positive direction, while negative acceleration is necessary to decrease it. Acceleration is related to force by mass.
Force = ma
Force is required to change the speed of a securities valuation. Price movements with considerable force have considerably more impact on future direction. A change in direction requires force.
Kinetic Energy = 0.5mv^2
Kinetic energy is the energy that a financial security gains from the change in its velocity by force. The built-up of potential energy in trading consolidations can be converted to kinetic energy on a breakout from the consolidation.
Cycle Theory and Relativity
Just as the physics of motion is relative to a point of reference, so too should the physics of financial securities be relative to a point of reference. An object moving at a 100 mph towards another object moving in the same direction at 100 mph will not appear to be moving relative to each other, nor will they collide, but from an outsider observer, the objects are going 100 mph and will collide with significant impact if they run into a stationary object relative to the observer. Similarly, trading with a hundred thousand shares at the open when the average volume is a couple million may have a much smaller impact on the price compared to trading a hundred thousand shares pre-market when the average volume is ten thousand shares. The point of reference used in this indicator is the average statistics collected for a given Window Time Frame for every Cycle Time Frame. The physics values are normalized relative to these statistics.
Examples
The main chart of this publication shows the Force Candles for the SPY. An intense force candle is observed pre-market that implicates the directional overtone of the day. The assumption that direction should follow force arises from physical observation. If a large object is accelerating intensely in a particular direction, it may be fair to assume that the object continues its direction for the time being unless acted upon by another force.
The second example shows a similar Force Candle for the SPY that counters the assumption made in the first example and emphasizes the importance of both motion and context. While it’s fair to assume that a heavy highly accelerating object should continue its course, if that object runs into an obstacle, say a brick wall, it’s course may deviate. This example shows SPY running into the 50% retracement wall from the low of Mar 2020, a significant support level noted in literature. The example also conveys Gann’s idea of “lost motion”, where the SPY penetrated the 50% price but did not break through it. A brick wall is not one atom thick and price support is not one tick thick. An object can penetrate only one layer of a wall and not go through it.
The third example shows how Volume Candles can be used to identify scalping opportunities on the SPY and conveys why price behavior is as important as motion and context. It doesn’t take a brick wall to impede direction if you know that the person driving the car tends to forget to feed the cats before they leave. In the chart below, the SPY breaks down to a confluence of the 5-day SMA, 20-day SMA, and an important daily trendline (not shown) after the bullish bounce from the 50% retracement days earlier. High volume candles on the SMA signify stopping volume that reverse price direction. The character of the day changes. Bulls become more aggressive than bears with higher volume on upswings and resistance, whiles bears take on a defensive position with lower volume on downswings and support. High volume stopping candles are seen after rallies, and can tell you when to take profit, get out of a position, or go short. The character change can indicate that its relatively safe to re-enter bullish positions on many major supports, especially given the overarching bullish theme from the large reaction off the 50% retracement level.
The last example emphasizes the importance of relativity. The Volume Candles in the chart below are brightest pre-market even though the open has much higher volume since the pre-market activity is much higher compared to past pre-markets than the open is compared to past opens. Pre-market behavior is a good indicator for the character of the day. These bullish Volume Candles are some of the brightest seen since the bounce off the 50% retracement and indicates that bulls are making a relatively greater attempt to bring the SPY higher at the start of the day.
Infrequently Asked Questions
Where do I start?
The default settings are what I use to scalp the SPY throughout most of the extended trading day, on a one-minute chart using SPY volume. I also overlay another Candle set containing ES future volume on the SPY price structure by setting the Physics Source to ES1! and the Number of Overlays setting to 2 for each Candle stream in order to account for pre- and post-market trading activity better. Since the closing volume is exponential-like up until the end of the regular trading day, adding additional Candle streams with a tighter Window Time Frame (e.g., 2-5 minute) in the last 15 minutes of trading can be beneficial. The Hide feature can allow you to set certain intraday timeframes to hide one Candle set in order to show another Candle set during that time.
How crazy can you get with this indicator?
I hope you can answer this question better. One interesting use case is embedding the velocity of market volume onto an internal market structure. The PCTABOVEVWAP.US is a market statistic that indicates the percent of securities above their VWAP among US stocks and is helpful for determining short term trends in the US market. When securities are rising above their VWAP, the average long is up on the day and a rising PCTABOVEVWAP.US can be viewed as more bullish. When securities are falling below their VWAP, the average short is up on the day and a falling PCTABOVEVWAP.US can be viewed as more bearish. (UPVOL.US - DNVOL.US) / TVOL.US is a “spread” symbol, in TV parlance, that indicates the decimal percent difference between advancing volume and declining volume in the US market, showing the relative flow of volume between stocks that are up on the day, and stocks that are down on the day. Setting PCTABOVEVWAP.US in the Candle Source, (UPVOL.US - DNVOL.US) / TVOL.US in the Physics Source, and selecting the Physics to Velocity will embed the relative velocity of the spread symbol onto the PCTABOVEVWAP.US candles. This can be helpful in seeing short term trends in the US market that have an increasing amount of volume behind them compared to other trends. The chart below shows Volume Candles (top) and these Spread Candles (bottom). The first top at 9:30 and second top at 10:30, the high of the day, break down when the spread candles light up, showing a high velocity volume transfer from up stocks to down stocks.
How do I plot the indicator distribution and why should I even care?
The distribution is visually helpful in seeing how different normalization settings effect the distribution of candle segments. It is also helpful in seeing what physics intensities you want to ignore or show by segmenting part of the distribution within the Min and Max Cutoff values. The intensity of color is proportional to the physics value between the Min and Max Cutoff values, which correspond to the Min and Max Colors in your color scheme. Any physics value outside these Min and Max Cutoffs will be the same as the Min and Max Colors.
Select the Print Windows feature to show the window numbers according to the Cycle Time Frame and Window Time Frame settings. The window numbers are labeled at the start of each window and are candle width in size, so you may need to zoom into to see them. Selecting the Plot Window feature and input the window number of interest to shows the distribution of physics values for that particular window along with some statistics.
A log-normal volume distribution of segmented z-scores is shown below for 30-minute opening of the SPY. The Min and Max Cutoff at the top of the graph contain the part of the distribution whose intensities will be linearly color-coded between the Min and Max Colors of the color scheme. The part of the distribution below the Min Cutoff will be treated as lowest quality signals and set to the Min Color, while the few segments above the Max Cutoff will be treated as the highest quality signals and set to the Max Color.
What do I do if I don’t see anything?
Troubleshooting issues with this indicator can involve checking for error messages shown near the indicator name on the chart or using the Data Validation section to evaluate the statistics and normalization cutoffs. For example, if the Plot Window number is set to a window number that doesn’t exist, an error message will tell you and you won’t see any candles. You can use the Print Windows option to show windows that do exist for you current settings. The auto-normalization cutoff values may be inappropriate for your particular use case and literally cut the candles out of the chart. Try changing the chart time frame to see if they are appropriate for your cycle, sample and window time frames. If you get a “Timeframe passed to the request.security_lower_tf() function must be lower than the timeframe of the main chart” error, this means that the chart timeframe should be increased above the sample time frame. If you get a “Symbol resolve error”, ensure that you have correct symbol or spread in the Candle or Physics Source.
How do I see a relative physics values without cycles?
Set the Window Time Frame to be equal to the Cycle Time Frame. This will aggregate all the statistics into one bucket and show the physics values, such as volume, relative to all the past volumes that TV will allow.
How do I see candles without segmentation?
Segmentation can be very helpful in one context or annoying in another. Segmentation can be removed by setting the candle resolution value to 1.
Notes
I have yet to find a trading platform that consistently provides accurate real-time volume and pricing information, lacking adequate end-user data validation or quality control. I can provide plenty of examples of real-time volume counts or prices provided by TradingView and other platforms that were significantly off from what they should have been when comparing against the exchanges own data, and later retroactively corrected or not corrected at all. Since no indicator can work accurately with inaccurate data, please use at your own discretion.
The first version is a beta version. Debugging and validating code in Pine script is difficult without proper unit testing. Please report any bugs with enough information to reproduce them and indicate why they are important. I also encourage you to export the data from TradingView and verify the calculations for your particular use case.
The indicator works on real-time updates that occur at a higher frequency than the candle time frame, which TV incorrectly refers to as ticks. They use this terminology inaccurately as updates are really aggregated tick data that can take place at different prices and may not accurately reflect the real tick price action. Consequently, this inaccuracy also impacts the real-time segmentation accuracy to some degree. TV does not provide a means of retaining “tick” information, so the higher granularity of information seen real-time will be lost on a disconnect.
TV does not provide time and sales information. The volume and price information collected using the Sample Time Frame is intraday, which provides only part of the picture. Intraday volume is generally 50 to 80% of the end of day volume. Consequently, the daily+ OHLC prices are intraday, and may differ significantly from exchanged settled OHLC prices.
The Cycle and Window Time Frames refer to calendar days and time, not trading days or time. For example, the first window week of a monthly cycle is the first seven days of the month, not the first Monday through Friday of trading for the month.
Chart Time Frames that are higher than the Window Time Frames average the normalized physics for price action that occurred within a given Candle segment. It does not average price action that did not occur.
One of the main performance bottleneck in TradingView’s Pine Script is client-side drawing and plotting. The performance of this indicator can be increased by lowering the resolution (the number of sub-candles this indicator plots), getting a faster computer, or increasing the performance of your computer like plugging your laptop in and eliminating unnecessary processes.
The statistical integrity of this indicator relies on the number of samples collected per sample window in a given cycle. Higher sample counts can be obtained by increasing the chart time frame or upgrading the TradingView plan for a higher bar count. While increasing the chart time frame doesn’t increase the visual number of bars plotted on the chart, it does increase the number of bars that can be pulled at a lower time frame, up to 100,000.
Due to a limitation in Pine Scripts request_lower_tf() function, using a spread symbol will only work for regular trading hours, not extended trading hours.
Ideally, velocity or momentum should be calculated between candle closes. To eliminate the need to deal with price gaps that would lead to an incorrect statistical distributions, momentum is calculated between candle open and closes as a percent change of the price or value, which should not be an issue for most liquid securities.
In den Scripts nach "scalp" suchen
MTF TMOTMO - (T)rue (M)omentum (O)scillator) MTF (Higher Aggregation) Version
TMO calculates momentum using the DELTA of price. Giving a much better picture of the trend, reversals & divergences than most momentum oscillators using price. Aside from the regular TMO, this study combines four different TMO aggregations into one indicator for an even better picture of the trend. Once you look deeper into this study you will realize how complex this tool is. This version also produce much more information like crosses, divergences, overbought / oversold signals, higher aggregation fades etc. It is probably not even possible to explain them all, there could easily be an entire e-book about this study.
I have been using this tool for a couple of years now, and this is what i have learned so far:
Favorite Time Frame Variations:
1. 1m / 5m / 30m - Great for intraday futures or options scalps. 30m TMO serves as the overall trend gauge for the day. 5min dictates the longer term intraday moves as well as direction of the 1min. 1min is for the scalps. When the 5min TMO is sloping higher focus should be on 1min buy signals (red to green cross) and vice versa for the 5min agg. sloping down.
2. 5m / 30m / 60m - Also an interesting variation for day trading the 3-5 min charts. Producing more cleaner & beginner-friendly signals that lasts couple of minutes instead of seconds.
3. 120m / Day / 2 Day - For the 30m to 1H or 2H timeframes. Daily & 2 Day dictates the overall trend. 120 min for the signals. Great for a multi-day swings.
4. Day / 2 Day / Week - Good for the daily charts, swing trading analysis as the weekly dictates the overall trend, daily dictates the signals and the 2 day cleans out the daily signals. If the daily & 2 day are not aligned togather, daily signal means nothing. Weekly dictates 2 day - 2 day dictates daily.
5. Week / Month / 3 Month - Same thing as the previous variation but for the weekly charts.
TMO Length:
The default vanilla settings are 14,5,3. Some traders prefer 21,5,3 as the TMO length is litle higher = TMO will potenially last little longer which could teoretically produce less false signals but slower crosses which means signals will lag more behind price. The lower the length, the faster the oscillator oscillates. It is the noice vs. the lag debate. The Length can be changed, but i would not personally touch the other two. Few points up or down on length will not drastically change much. But changes on Calc Length and Smooth Length can produce totally different signals from the original.
Tips & Tricks:
1. Observe
- This is the best tip & trick I can give you. The #1 best way to learn how any study operates is to just observe how it works in certain situations from the past. MTF TMO is not
an exception.
2. The Power of the Higher Aggregation
- The higher aggregation ALWAYS dictates the lower one. Best way to see this? Just 2x the current timeframe aggregation = so on daily chart, plot the daily & two day TMOs and you will notice how the higher agg. smooths out the current agg. The higher the aggregation is, the smoother (but slower) will the TMO turn. The real power kicks in when the 3 or 4 aggregations are aligned togather in one direction.
3. Position of the Higher Aggregation in Relation to the Extremes
- Overbought / oversold signals might not really work on the current aggregation. But pay attention to the higher aggregations in relation to the extremes. Ex: on the daily chart - daily TMO inside the OB / OS extremes might not mean much. But once the higher aggregations such as 3 day or Weekly TMO enters OB/OS zone togather with the daily, this can be a very powerful signal for a TMO reversion to the zeroline.
4. Crosses
- Yes, crosses do work. Personally, I never really focused on them. The thing about the crosses is that it is crucial to pick the right higher aggregation to the combination of the current one that would be reliable but also print enough signals. The closer the cross is to the OB / OS extremes, the more bigger move can occur. Crosses around the zero line can be considered as less quality crosses.
5. Divergences
- TMO can print awesome divergences. The best divergences are on the current aggregation (TMO agg. same as the chart) since the current agg. oscillates fast, it can usually produce lower lows & higher highs faster then any higher aggregations. Easy setup: wait for the higher aggregation to reach the OB / OS extremes and watch the current (chart) aggregation to print a divergence.
6. Three is Enough
- I personally find more than three aggregations messy and hard to read. But there is always the option to turn on the 4th one. Just switch the TMO 4 Main, TMO 4 Signal and TMO 4 Fill in the style settings.
Hope it helps.
EBB & Flow: a multi-EMA-based BB cloudIntro
This is an idea evolved out of the market maker method and EMA convergence, divergence, and mean reversion.
The market maker method informs us that the 5, 13, 50 and 200 EMAs are important to regulating price. Those EMA lengths are multiples of the 50 and 200 on lower major timeframes -- the 1 minute, 5, 15, 1H, 4H, 1D. I include the 21 because it is also a multiple and in crypto very often respected.
When market makers are testing price, they set their range and spike in the direction they test for liquidity. This can get chaotic. For instance, in a shorter time frame consolidation inside a bigger timeframe uptrend, it can be too easy to forget where you are in the many trends playing out.
When the EMAs are dragged over each other during normal price movement, you get these crisscrossing tracks of price, and the individual breaks can be hard to trace.
The range is what matters, ultimately, and the range is dynamic. In that case, the Bollinger Band is a great tool for detecting outliers in this case.
The Answer
So the answer this indicator seeks to give, is to look for outliers. This gives you a scalping strategy built on Traders Reality thinking and best put together with the PVSRA indicator, which I may include in this indicator just for the sake of concision, but they can work alongside each other or separately.
The key thing is the different EMA clouds, which are bollinger bands. Tight bands mean imminent breaks, favouring the trend. Vector candles out of a zone, pins to the low/high, etc. are all very relevant alongside this indicator.
You can also use it on its own and scalp the breaks of a cloud.
How it works
Each cloud is a standard deviation from their respective EMA, all in the same colour. The deviation multiple is 1.618 by default. Yes, fibonacci sequences are usually nonsense, but it works better with the BB than 2, 2.5 or 3.
Using just the clouds, you can see where each EMA is headed and how it behaves within the deviation of the others.
But that on its own isn't enough.
The indicator will also print snowflakes above and below the candle for notable outliers. It will be in the colour of the cloud it breaks, but only if that break is also breaking the smaller EMA clouds too.
The most snowflakes will be yellow because that's the 13 EMA. That one is dependent on nothing else and every break will print a snowflake. The 21 will be dependent on the 13. The 50 dependent on the 13 and 21 breaks. The 200 the most important.
For example, if the 200 EMA-BB or EBB is broken at the upper band, deviating by more than 162% of price over a 200 period EMA, and that break is not above the 50 EMA cloud, there will be no snowflake. However, if it exceeds the 13, 21, 50, and 200 clouds, then a purple snowflake will appear above the bar.
Any snowflake is an extreme in price. The purple is an especially good point of entry. That doesn't mean it is a perfect entry. You can build position from it, though, and be relatively certain of a price correction in the near future, because not only was this major EMA cloud violated, but all of the smaller ones too.
Reminder
You still need your PVSRA and candlesticks. This indicator on its own may have a nice hit rate for scalping and building position, as an alternative to the TDI or alongside it, but it is not enough on its own, just like the TDI.
Enjoy!
Safe Scalpy Stop Loss. Percentage from price visualizer.This is my first script I have published so bear with me.
I have thrown this together so you can easily see on the chart where -0.5%, -1% and -2% would be from the last candle close. I also replicated these to show positive values in case you are shorting.
I have also added a custom value setting so you can set the line at whatever percentage value you like and included an adjustable recent higher high and higher low finder to help create a recent range as it seems to work well in tandem for scalping range based price movement.
You can turn all these things on and off in the settings on the style checkboxes.
I felt the need to make this because I like to scalp trade with leverage like a total degen from time to time. Often the setups happen very quickly. It is difficult to calculate where to set a stop loss in a hurry so I keep a fixed account size/lev and just vary the position percentage size based on the percentage of the stop loss from the current price.
Sometimes when switching from a lower volatility chart to high volatility one it is easy to get caught out by quickly entering a scalp trade only to find you made your position way too big or you shouldn't have entered at all. You thought it was only moving 0.2% per candle instead of 3%. Whoops. Rekt.
This indicator is all about trying to help me avoid that with a visual clue to back up the bad maths I do quickly in my head.
I often hide it and only show it when I'm ready to enter a position to double check my SL and entry are set in a sensible area.
I thought I would publish it in case someone else finds such a simple tool handy.
Apologies if there is already something out there that does this job. I couldn't find it.
See you all on the moon.
Multiple Time Frame Williams Alligator H1M5fractalist scalpers, chaos theorists and traders trading on 5 minute charts in the financial markets are often swamped by too many fractals; switching between charts back and forth can be a headache too; so here's an indicator script coded by yours truly to make our lives easier.
how it works?
apply MTFWA on a 5 minute chart; synchronise it with your 1 hour chart; draw the standard horizontal lines to mark fractals on your 1 hour chart...there you go; better fractals filtered to analyse your 5 minute chart; scalp your hearts out.
Market Internals Dashboard: Trend, Breadth, Volume PressureOverview
The Market Internals Dashboard Pro is a professional-grade toolkit modeled after what prop firms and institutional desks use to understand real intraday market conditions.
Instead of relying solely on price, this indicator analyzes three critical internal forces:
USI:TICK : Microstructure buying/selling pressure
USI:ADD : Market breadth participation (advancers vs decliners proxy)
USI:VOLD : Volume pressure (buying vs selling volume)
These internals determine whether the market is:
Trending or ranging
Bullish or bearish
Likely to follow through or mean-revert
Favoring continuation trades or fade setups
The script also produces a Market Environment Score (–3 to +3) and a real-time Trade Recommendation Table that updates every bar. This helps answer the single most important question in intraday trading: “What type of trades should I be taking right now given current market conditions?”
1. TICK Proxy: Microstructure Pressure
Measures buying vs. selling aggressiveness across the market This proxy simulates the NYSE TICK index by evaluating whether bars close above or below the prior bar.
Positive TICK → Buyers lifting offers
Negative TICK → Sellers hitting bids
Neutral TICK → No microstructure conviction
Why it matters:
Strong TICK is often the earliest sign of:
Trend initiation
Algorithmic buy/sell programs
Shifts in short‑term sentiment
Weak or choppy TICK often signals:
Range conditions
Failed breakouts
Low‑quality trend attempts
2. ADD Proxy: Market Breadth Strength
Shows how many stocks are participating in a move Because real USI:ADD data isn't available for all users, this script uses a self-contained breadth approximation built from:
Price slope
Volatility expansion
Volume‑weighted directional pressure
Why it matters? Breadth reveals whether the move is:
Broad and healthy → likely to continue
Narrow and weak → vulnerable to reversal
Strong trends require strong breadth. Weak breadth often precedes:
Failed breakouts
Reversal setups
Chop (ewww)
3. VOLD Proxy: Volume Pressure
The most important internal of all. This proxy measures whether trading volume is flowing into up bars or down bars.
Positive VOLD → Net buying pressure
Negative VOLD → Net selling pressure
Why it matters:
VOLD is considered the "truth serum" of the tape:
Strong VOLD drives trend days
Negative VOLD kills long setups
Mixed VOLD creates chop
You should rarely trend trade against VOLD.
4. Market Environment Score (–3 to +3)
The Environment Score combines the three internals into a single view:
|| Score || Interpretation || Market Type ||
| +3 | Strong Bull | Trend Day (Long) |
| +2 | Bull | Pullback Buys / Breakout Continuation |
| +1 | Mild Bull | Conservative Long Scalps |
| 0 | Neutral | CHOP – VWAP Reversions / Fades |
| -1 | Mild Bear | Short Failed Breakouts |
| -2 | Bear | Trend Shorts / Breakdown Continuation |
| -3 | Strong Bear | Trend Day (Short) |
Why it matters:
The market behaves differently depending on internal alignment. This score prevents traders from:
Forcing trend trades on chop days
Chasing breakouts when breadth is weak
Fading strong directional days
It tells you in real time whether conditions favor:
Trend following
Mean reversion
Breakout continuation
Liquidity grabs
Or sitting out
5. Trade Recommendation Engine
Based on the Environment Score, the indicator outputs a real-time playbook recommending which trade types have the highest probability of success right now.
Examples:
Score = 0 (Neutral)
VWAP Reversions
Liquidity Grabs
Failed Breakouts
Quick Scalps
Score = +2/+3 (Strong Bull)
Pullback Buys
Breakout Continuation
Trend Longs
Score = -2/-3 (Strong Bear)
Pullback Shorts
Breakdown Continuation
Trend Shorts Only
This turns the internals into a trade selection engine, not just a data display.
Why Market Internals Matter
Most indicators look only at price, but price is the result, not the cause.
Market internals show:
Where volume is flowing
Whether buying is aggressive or passive
How many stocks are participating
Whether algorithms are supporting or fighting the move
This dashboard helps traders:
Avoid chop
Stay out of low‑quality setups
Time entries with institutional flows
Improve win rate by trading the right setups at the right times
Final Notes
Works on any symbol or timeframe
Fully customizable colors
Two clean visual tables: Internals + Trade Playbook
Ideal for futures, ETFs, and options day traders
If you enjoy this tool, please like, comment, or follow. More enhancements are coming.
Trade smart.
MAHI Indicator v9.5 - Smart Momentum HUD + IntradayMAHI Indicator v9.5 — Smart Momentum HUD (Multi-Framework + Intraday Engine)
A Complete Momentum, Trend, and Setup Framework for Swing, Position & Intraday Traders
MAHI v9.5 is the most advanced version yet — a highly optimized, visual, multi-framework trading system that blends momentum, trend alignment, adaptive setup detection, and now Auto-Intraday Mode for short-term traders.
This indicator acts like a Heads-Up Display (HUD) on your chart: it shows trend strength, squeeze zones, dynamic support/resistance, EMAs, setup validation, and early reversal signals in one clean interface — without clutter.
✔ Core Features
📌 1. Smart Momentum Ribbon
A dynamic EMA-based momentum band that visually shifts as trend strength changes.
Helps identify strong vs. weak momentum zones
Adapts to volatility & trend slope
Works on all timeframes (1m to 1M)
📌 2. EMA 9 → 21 Flip System
A precision trend-switching signal:
EMA 9 → 21 BULL = early bullish momentum
EMA 9 → 21 BEAR = early bearish momentum
More reliable than stand-alone MA crossovers
📌 3. Bullish Setup Engine (Standard + Weak)
Automatically identifies when price is entering a reversal-ready state based on:
Position relative to the ribbon
Candle structure
Momentum compression
Slope + exhaustion conditions
Includes:
Bull Setup (Standard) — Higher probability setup
Bull Setup (Weak) — Early or less developed setup
Setup Invalidated — Confirms that the pattern failed
This prevents false confidence & keeps traders disciplined.
📌 4. Strong Buy / Strong Sell Signals
Only appear when multiple confirmations align:
Ribbon bias
EMA slope
Momentum compression
Trend alignment
Filtered to remove noise — especially in lower timeframes.
📌 5. Multi-Timeframe Trend HUD
Top-right panel summarizing:
Overall Trend (Bullish, Bearish, Neutral)
RSI Condition
Daily vs Weekly Alignment
Trading Mode Suggestions (Buy / Sell / LEAPS / Neutral)
This gives instant context.
📌 6. Auto Intraday Engine (NEW in v9.5)
Automatically switches internal logic when you move into intraday timeframes (1m–30m):
Intraday Enhancements:
Adaptive setup detection
Faster momentum sensitivity
EMAs tuned for scalp/swing precision
Tighter invalidation logic
Reduced false positives
Optional strict filtering
Perfect for scalping, day trading & micro-trends
Works instantly — no settings needed.
Just change the chart timeframe and MAHI adjusts.
📌 7. Dynamic High-Timeframe Support (W & M)
Auto-layers weekly & monthly levels:
Helps identify strong bounce zones
Extremely useful for swing & LEAPS traders
📌 8. Weekly Volume Shelf Projection
Lightweight VWAP-style level based on weekly volume aggregation.
Shows probable bottoming areas during pullbacks.
✔ Who This Indicator Is For
Perfect for:
Day traders
Swing traders
Momentum riders
LEAPS & long-term investors
Beginner traders needing a structured system
MAHI adapts to your timeframe and trading style.
✔ Why MAHI Works
MAHI isn’t a single-signal indicator — it’s a framework.
It combines:
Trend
Momentum
Volatility
Setup pattern detection
Validation & invalidation
Multi-timeframe alignment
Dynamic zones
Intraday optimization
This eliminates guesswork and helps traders avoid the emotional traps that cause most losses.
You don’t just get a signal — you get context.
✔ How to Use It
Follow the ribbon bias
Use EMA 9→21 flips as trend confirmation
Look for Bull Setup tags during pullbacks
Avoid trades when you see Setup Invalidated
Respect weekly/monthly HTF support levels
On intraday charts — rely on auto-optimized mode
For swing entries, combine setups with HTF trend HUD
MAHI gives the map. You choose the path.
✔ Final Notes
This version is heavily optimized for performance, clarity, and high-probability signals.
MAHI does not repaint, and works on all assets including:
Stocks
Crypto
ETFs
Forex
Futures
🔥 SMC Reversal Engine v3.5 – Clean FVG + DashboardSMC Reversal Engine v3.5 – Clean FVG + Dashboard
The SMC Reversal Engine is a precision-built Smart Money Concepts tool designed to help traders understand market structure the single most important foundation in reading price action. It reveals how institutions move liquidity, where structure shifts occur, and how Fair Value Gaps (FVGs) align with these changes to signal potential reversals or continuations.
Understanding How It Works
At its core, the script detects CHoCH (Change of Character) and BOS (Break of Structure)—the two key turning points in institutional order flow. A CHoCH shows that the market has reversed intent (for example, from bearish to bullish), while a BOS confirms a continuation of the current trend. Together, they form the backbone of structure-based trading.
To refine this logic, the engine uses fractal pivots clusters of candles that confirm swing highs and lows. Fractals filter out noise, identifying points where price truly changes direction. The script lets you set this sensitivity manually or automatically adapts it depending on the timeframe. Lower fractal sensitivity captures smaller intraday swings for scalpers, while higher sensitivity locks onto major swing structures for swing and position traders.
The dashboard gives you a real-time reading of the trend, the last high and low, and what the market is likely to do next—for example, “Expect HL” or “Wait for LH.” It even tracks the accuracy of these structure predictions over time, giving an educational feedback loop to help you learn price behavior.
Fair Value Gaps and Tap Entries
Fair Value Gaps (FVGs) mark moments when price moves too quickly, leaving inefficiencies that institutions often revisit. When price taps into an FVG, it often acts as a high-probability entry zone for reversals or continuations. The script automatically detects, extends, and deletes old FVGs, keeping only relevant zones visible for a clean chart.
Traders can enable markTapEntry to visually confirm when an FVG gets filled. This is a simple but powerful trigger that often aligns with CHoCH or BOS moments.
Recommended Settings for Different Traders
For Scalpers, use a lower HTF structure such as 1 minute or 5 minutes. Keep Auto Fractals on for faster reaction, and limit FVG zones to 2–3. This gives you a clean, real-time reflection of order flow.
For Intraday Traders, 15-minute to 1-hour structure gives the perfect balance between reactivity and stability. Fractal sensitivity around 3–5 captures the most actionable levels without excessive noise.
For Swing Traders, use 4-hour, 1-day, or even 3-day structure. The chart becomes smoother, showing higher-order CHoCH and BOS that define true institutional transitions. Combine this with EMA confirmation for higher conviction.
For Position or Macro Traders, select Weekly or Monthly structure. The dynamic label system expands automatically to keep more historical BOS/CHoCH points visible, allowing you to see long-term shifts clearly.
Educational Value
This indicator is built to teach traders how to see structure the way professionals and smart money do. You’ll learn to recognize how markets transition from one phase to another from accumulation to manipulation to expansion. Each CHoCH or BOS helps you decode where liquidity is being taken and where new intent begins.
The included SMC Quick Guide explains each structural cue right on your chart. Within days of using it, you’ll start noticing patterns that reveal how price really moves, instead of guessing based on indicators.
Settings and How to Use Them
Everything in the SMC Reversal Engine is designed to adapt to your trading style and help you read structure like a professional.
When you open the Inputs Panel, you’ll see sections like Fractal Settings, FVG Settings, Buy/Sell Confirmation, and Educational Tools.
Under Fractal Settings, you can choose the higher timeframe (HTF) that defines structure—from minutes to weeks. The Auto Fractal Sensitivity option automatically adjusts how tight or wide swing points are detected. Lower sensitivity captures short-term fluctuations (great for scalpers), while higher values filter noise and isolate major swing highs and lows (perfect for swing traders).
The Fair Value Gap (FVG) options manage imbalance zones—the footprints of institutional orders. You can show or hide these zones, extend them into the future, and control how long they remain before auto-deletion. The Mark Entry When FVG is Tapped option places a small label when price revisits the gap—a potential entry signal that aligns with smart money logic.
EMA Confirmation adds a layer of confluence. The script can automatically scale EMA lengths based on timeframe, or you can input your preferred values (for example, 9/21 for intraday, 50/200 for swing). Require EMA Crossover Confirmation helps filter false moves, keeping you trading only with aligned momentum.
The Educational section gives traders visual reinforcement. When enabled, you’ll see tags like HH (Higher High), HL (Higher Low), LH (Lower High), and LL (Lower Low). These show structure shifts in real time, helping you learn visually what market structure really means. The Cheat Sheet panel summarizes each term, always visible in the corner for quick reference.
Early Top Warnings use wick size and RSI divergence to signal when price may be overextended—a useful heads-up before potential CHoCH formations.
Finally, the Narrative and Accuracy System translates structure into simple English—messages like Trend Bullish → Wait for HL or BOS Bearish → Expect LL. Over time, you can monitor how accurate these expectations have been, training your pattern recognition and confidence.
Pro Tips for Getting the Most Out of the SMC Reversal Engine
1. Start on Higher Timeframes First: Begin on the 4H or Daily chart where structure is cleaner and signals have more weight. Then scale down for entries once you grasp directional intent.
2. Use FVGs for Context, Not Just Entries: Observe how price behaves around unfilled FVGs—they often act as magnets or barriers, offering insight into where liquidity lies.
3. Combine With HTF Bias: Always trade in the direction of your higher timeframe trend. A bullish weekly BOS means lower timeframes should ideally align bullishly for optimal setups.
4. Clean Charts = Clear Mind: Use Minimal Mode when focusing on price action, then toggle the educational tools back on to review structure for learning.
5. Don’t Chase Every CHoCH or BOS: Focus on significant breaks that align with broader context and liquidity sweeps, not minor fluctuations.
6. Accuracy Rate Is a Feedback Tool: Use the accuracy stat as a reflection of consistency—not a trade trigger.
7. Build Narrative Awareness: Read the on-chart narrative messages to reinforce structured thinking and stay disciplined.
8. Practice Replay Mode: Step through past structures to visually connect CHoCH, BOS, and FVG behavior. It’s one of the best ways to train pattern recognition.
Summary
* Detects CHoCH and BOS automatically with fractal precision
* Identifies and manages Fair Value Gaps (FVGs) in real time
* Displays a smart dashboard with accuracy tracking
* Adapts label visibility dynamically by timeframe
* Perfect for both learning and trading with institutional clarity
This tool isn’t about predicting the market—it’s about understanding it. Once you can read structure, everything else in trading becomes secondary.
Etwas31 Precision zones and trendTitle: Etwas31 Precision zones and trend
Overview: Get a complete market overview at a single glance. This script combines a comprehensive trend/volatility dashboard with automated, high-precision supply and demand zones. It filters out noise and highlights key market structures to improve your trading accuracy.
Key Features:
1. 📊 Advanced MTF Dashboard (5m - 1W)
Trend Monitor: Uses EMA 20 & 50 alignment to accurately detect Bullish, Bearish, or Neutral (Choppy) markets. No more guessing the trend.
Volatility Scanner: Utilizing ATR logic, it signals whether the market is active (High ⚡) or dormant (Low 💤) for each timeframe.
2. 🎯 Precision Support & Resistance Zones
Real Structure: Unlike simple lines, zones are drawn based on candle wicks (High to Body / Low to Body) to reflect the actual "thickness" of market interest.
Visual Hierarchy:
Weak Zones (15m, 30m): Displayed as Hollow/Dashed boxes. Ideal for scalping or short-term targets.
Strong Zones (1H, 4H, 1D, 1W): Displayed as Solid/Filled boxes. These are key levels for reversals and major trend continuation.
Auto-Extension: Zones automatically extend to the current price action for easy tracking.
3. ⚙️ Customizable & Clean
Fully customizable colors and visibility settings.
Optimized to prevent chart clutter while providing maximum information.
How to Use:
Use the Dashboard to align your trades with the higher timeframe trend (e.g., trade with the 4H trend).
Wait for Volatility (⚡) to confirm momentum.
Enter trades when price reacts at Solid Zones (Strong S/R) or use Hollow Zones for intraday scalp targets.
Price Action ZigZag (Impulses & Corrections)This indicator tracks price structure by connecting significant swing highs and lows—giving a clear, actionable “ZigZag” view of market movement. It automatically maps the underlying price action as alternating impulses (trend legs) and corrections (pullbacks), directly on your chart, for any timeframe.
How does it work?
Swing Detection:
The script uses the user-selected “pivot length” to identify confirmed swing highs and lows with Pine Script’s ta.pivothigh and ta.pivotlow.
These pivots only print after full confirmation, making all lines strictly non-repainting.
ZigZag Drawing:
After pivots are captured, the indicator connects each alternating swing with lines that trace the progression of price structure.
Each line segment is mapped according to the sequence and direction of swings:
Impulse: Moves that break further away from prior swing in the same direction (continuations/uptrends/downtrends)
Correction: Moves that pull price back, but do not extend past the previous impulse (retracements/sideways action)
Impulse vs Correction Logic:
Bullish impulse: swing from a higher low to a higher high (fast upward moves after a low)
Bearish impulse: swing from a lower high to a lower low (fast downward moves after a high)
Corrections appear as smaller lines between alternating swing points not leading to new trend extension.
Labels & Colors:
Impulse lines are drawn teal (customizable), corrections in gray.
Tiny labels ("Impulse", "Correction") are shown for clarity (optional).
Most recent pivots are highlighted with yellow dots for quick visual reference.
Key Features:
User-adjustable pivot length controls sensitivity and structure size (scalp to swing).
Distinguishes between impulses and corrections instantly on the chart.
Labels and color coding for clarity—traders can spot trend continuation vs. pullback at a glance.
Non-repainting confirmed pivots and lines; never show incomplete data.
Fully customizable appearance—all colors and label display adjustable in settings.
Zero lookahead or repainting: all signals use confirmed, historical price only.
How to use:
Add to any chart and set 'Swing Length' to fit your trading style (shorter for scalping, longer for bigger structure).
Follow the ZigZag lines to see when price makes an impulse vs. correction, and use this to identify high-probability momentum or reversal zones.
Combine this script with your own analysis/strategy or other indicators for deeper context.
Adjust colors and label options for your preferred chart clarity.
Disclaimer:
This script is a visualization and analysis tool for educational purposes—it does not predict future price movement, guarantee results, or provide trading signals. Always use sound risk management and your own judgment in live trading.
Info de Vela 1m1-Minute Candle Info Dashboard (Real-Time)
Overview
This is a lightweight, real-time dashboard designed specifically for 1-minute (1m) scalping. It provides critical, non-lagging data about the current 1-minute candle, helping you make split-second decisions on stop-loss placement and risk assessment.The table updates on every tick without flickering or repainting.
Key Features (Real-Time Table)
The dashboard displays three key metrics about the current 1m candle:Time Remaining: A simple countdown timer showing the exact seconds remaining until the current candle closes (e.g., "00:34").Dist. to Extreme (Ticks): This is the core function for scalping. It calculates the distance (in ticks) from the current price to the furthest extreme of the candle (i.e., max(high - close, close - low)). This is ideal for traders who base their stop-loss on the current candle's range.Total Candle Range (Ticks): Displays the full high-to-low range of the current candle in ticks, giving you an instant read on volatility.
How to Use
This tool is designed to solve one problem: speed.Instead of manually measuring the distance for your stop-loss on every candle, you can instantly read the exact tick value from the table. This allows you to calculate your position size (lotage) much faster, which is essential in a fast-moving 1m environment.
REQUIREMENT:This indicator is designed to work ONLY on the 1-minute (1m) timeframe. It will display an error and show no data on any other chart.
Murrey Math SMA up to 32s Murrey Math SMA up to 32s is a highly advanced Pine Script v5 indicator that combines Murrey Math Lines (MML) with a customizable moving average (MA) — including a non-repainting Rolling VWAP (RVWAP) — and dynamic color-coded support/resistance bands up to 1/32 subdivisions. It projects octave-based geometric price levels (like Gann) centered on your chosen MA, with adaptive scaling, angle-based trend coloring, and absolute/extended MML bands. Includes 1/8, 1/16, and 1/32 grid lines, shaded zones, labels, and a live increment display.Core FeaturesFeature
Description
MA Types
SMA, VWMA, VWAP, Period VWAP, RVWAP (rolling VWAP over fixed or adaptive time window)
Murrey Math Grid
Auto-scaled 0/8 to 8/8 + extensions (±3/8), with 1/16 & 1/32 subdivisions
Dynamic Coloring
Bands colored by MA slope angle (bullish/bearish) or absolute MML shift
RVWAP Engine
Non-repainting volume-weighted average over user-defined or adaptive time steps
Wick Filtering
Optional ignore wicks for cleaner MML framing
Resolution Support
Works with higher timeframe data via request.security()
Key Use Cases Use Case
How to Use
1. Precision Support & Resistance
Treat 4/8 (mid) as pivot, 0/8 & 8/8 as extremes. Price often reverses or accelerates at these levels.
2. Mean Reversion Trades
Buy near 0/8–1/8 (oversold), sell near 7/8–8/8 (overbought) when MA is flat or sloping mildly.
3. Trend Continuation
When MA angle > threshold and price breaks 5/8, expect move to 8/8. Confirm with volume.
4. Breakout Entries
Watch for close beyond 8/8 or 0/8 + MA angle steep → strong momentum breakout.
5. Scalping with 1/32 Grid
Use 1/32 lines as micro-targets in ranging markets or after news spikes.
6. Volume-Weighted Fair Value
RVWAP = true average price paid over time → anchor for institutional fair value.
Visual Layout (MA-Centered)
+3/8 ───┐
+2/8 ───┤ ← Strong resistance
+1/8 ───┤
8/8 ███┤ ← Overbought (red zone)
7/8 ───┤
6/8 ███┤
5/8 ───┤
4/8 ███┤ ← Midline (pivot)
3/8 ───┤
2/8 ███┤
1/8 ───┤
0/8 ███┤ ← Oversold (green zone)
-1/8 ───┤
-2/8 ───┤
-3/8 ───┘
Shaded: 0/8–1/8 (buy), 7/8–8/8 (sell), 3/8–5/8 (neutral/consolidation)
MA Line: Orange (RVWAP) or hidden
Labels: Bottom, 1/4, Mid, 3/4, Top (offset to the right)
Table: Shows current Increment size
Best For Swing & scalp traders on stocks, forex, crypto
Volume-based strategies (RVWAP shines in high-volume moves)
Gann/Murrey Math enthusiasts wanting automation + modern MA anchoring
Smart Money Concepts Pro – OB, FVG, Liquidity + Trade SetupsThis script is a complete Smart Money Concepts (SMC) toolkit designed for traders who want clean and actionable charts without clutter.
It combines the most important institutional concepts into one indicator:
Order Blocks (OB): auto-detection of bullish and bearish order blocks with mitigation tracking, merging and TTL (time-to-live).
Fair Value Gaps (FVG): automatic gap recognition with size filters, mitigation tracking and lifetime control.
Liquidity Pools (EQH/EQL): equal highs and equal lows marked with tolerance (ATR-based or fixed).
Break of Structure (BOS): up/down structure shifts plotted directly on the chart.
Multi-Timeframe (HTF): option to use higher timeframe data (e.g. H4, Daily) for stronger zones.
Trend Filter: show zones only in the direction of market structure.
Trade Setups: automatic signals for OB Retest + Trend setups, with entry, stop-loss and take-profit levels (custom R-R).
Flexible Zone Extension: choose between extending zones to the live bar or fixed box width for a cleaner look when scrolling.
Features
Fully customizable (pivot length, ATR filters, box width, TTL, zone colors)
Separate presets for Scalping, Intraday, Swing trading styles
Visual trade planning with entry/SL/TP lines and optional labels
Works across all markets (crypto, forex, indices, stocks)
How to use
Bias: identify overall direction (BOS + HTF zones).
Wait: for price to return to an unmitigated OB or FVG.
Entry: take the setup signal (OB retest + trend filter).
Risk: stop-loss at opposite OB boundary.
Target: TP based on chosen R-R multiple (default 2R).
⚡ Whether you scalp short-term moves or swing trade HTF zones, this indicator gives you a clear institutional edge in spotting supply/demand imbalances and high-probability setups.
MACD-V Adaptive FluxProMACD-V Adaptive FluxPro
Type: Multi-Factor Volatility-Normalized Momentum & Regime Framework
Overlay: ✅ Yes (on price chart)
Purpose: Detect high-probability trend continuation or reversal zones through volatility-adjusted momentum, VWAP structure, and adaptive filters.
🧩 Concept Overview
MACD-V Adaptive FluxPro is a next-generation, multi-factor analytical framework that merges the principles of Linda Raschke’s 3-10-16 MACD with modern volatility normalization and adaptive filtering.
Instead of generating raw buy/sell signals, it builds a probability-driven environment model — showing when price action, volatility, and structure align for high-confidence trades.
The “V” in MACD-V stands for Volatility Normalization: every MACD component is divided by ATR to stabilize amplitude across fast or slow markets.
This enables the indicator to remain consistent across timeframes, instruments, and volatility regimes.
⚙️ Core Components
1️⃣ Volatility-Normalized MACD (MACD-V)
A traditional MACD built on Linda Raschke’s 3-10-16 structure, but adjusted by ATR to create a volatility-invariant momentum profile.
You can toggle to alternative presets (Scalp / Swing / Trend) for faster or slower environments.
2️⃣ Dynamic Regime Detection
A slope-based classifier that identifies whether the market is:
Trend Up 🟢
Trend Down 🔴
Compression / Squeeze 🟧
Transition / Neutral ⚫
The background color updates dynamically as momentum, volatility, and slope shift between these states.
3️⃣ VWAP Structure Bands
Adaptive VWAP with inner and outer ATR-scaled envelopes.
These act as short-term mean-reversion and breakout zones.
The indicator can optionally gate entries to occur only within defined VWAP proximity.
4️⃣ EMAs for Micro-Trend Confirmation
Includes 9-EMA and 21-EMA, color-configurable for visual crossovers and short-term momentum bias.
5️⃣ Multi-Timeframe Confirmation Tiles
Top-center dashboard tiles display directional bias from higher timeframes (e.g., 15m / 1h / 4h).
When all align, it confirms multi-frame trend coherence.
6️⃣ Adaptive Probability Engine
All subsystems — MACD-V, slope, compression, volume z-score, and VWAP distance — feed into a logistic scoring model that outputs a real-time AOI Probability (0-100%).
When conditions align, probabilities rise above 60% (long bias) or drop below 40% (short bias).
These are your high-probability “Areas of Interest.”
7️⃣ Dashboard HUD
The top-right status console provides a one-glance view of system state:
Field Meaning
AOI Prob Long Real-time probability of bullish bias
Regime Market state (Trend, Transition, Compression)
Risk Gate ATR-based volatility filter
News Mute Manual toggle for event-risk suppression
ATR (≈ risk) Real-time volatility readout
Status ✅ Trading OK / 🧱 Risk Gate / 🔇 News Mute / 🟧 Compression
🎯 Interpretation Guide
Visual Meaning
🟢 Green background Confirmed uptrend regime
🔴 Red background Confirmed downtrend regime
🟧 Orange background Volatility compression (squeeze forming)
⚫ Gray background Transitional / indecisive structure
Teal % (AOI Prob Long) Bullish probability > 60%
Arrows Optional: appear only when all gates align (rare, filtered signals)
🧮 Mathematical Notes
MACD-V = (EMA_fast(src) − EMA_slow(src)) / ATR(n)
Normalized score is smoothed, scaled 0–100 via logistic curve
Slope = Δ(EMA(src, n)) / ATR(n)
Probabilities gated by:
Minimum slope magnitude (minAbsSlope)
VWAP proximity (maxVWAPDistATR)
Multi-TF agreement
Cooldown interval (cooldownBars)
ATR-based risk gate
No repainting — all calculations use barstate.isconfirmed.
⚡ Use Cases
✅ Identify trend regime changes before major expansions
✅ Filter breakout vs. compression setups
✅ Quantify volatility conditions before entries
✅ Confirm multi-timeframe alignment
✅ Serve as a visual regime map for automated systems or discretionary traders
🧠 Recommended Presets
Market Type Setting Preset Behavior
Index Futures (ES/NQ) LBR 3-10-16 SMA (default) Classic swing/momentum balance
Scalping (1m–5m) Fast Adaptive Higher frequency, shorter cooldown
Swing Trading (1h–4h) Smooth ATR Broader, trend-only signals
Trend-Following Futures Wide ATR Bands Filters noise, favors strong continuation
⚠️ Notes
Non-repainting, bar-confirmed calculations
Signal arrows are optional and rare — intended for precision setups
ATR and slope thresholds should be tuned per instrument
Compatible with all TradingView markets and resolutions
🏁 Summary
“MACD-V Adaptive FluxPro” is not a simple MACD — it’s a volatility-normalized market state engine that adapts to changing conditions.
It fuses Linda Raschke’s timeless MACD logic with modern volatility, slope, and multi-timeframe analytics — giving you a live market dashboard that tells you when not to trade just as clearly as when you should.
Golden Cross Screener [Pineify]Golden Cross Screener Pineify – Multi-Symbol Trend Detection Screener for TradingView
Discover the Golden Cross Screener Pineify for TradingView: a multi-symbol, multi-timeframe indicator for crypto and other assets. Customizable Golden Cross detection, robust algorithm, and intuitive screener design for smarter portfolio trend analysis.
Key Features
Multi-symbol screening across major cryptocurrencies or assets – BTCUSD, ETHUSD, XRPUSD, USDT, BNB, SOLUSD, DOGEUSD, TRXUSD (fully customizable).
Multi-timeframe analysis (e.g., 1m, 5m, 10m, 30m), enabling robust trend detection from scalp to swing.
Customizable Moving Average settings for both Fast and Slow MA (source and length).
Efficient screener table, highlighting Golden Cross events and current asset trends in one panel.
Visual cues for bullish, bearish, and cross states using intuitive color-coding and labels.
Flexible symbol and timeframe inputs to tailor the screener to any portfolio or watchlist.
How It Works
The Golden Cross Screener Pineify leverages the classic Golden Cross methodology—a bullish trend signal triggered when a shorter-term moving average crosses above a longer-term moving average. To improve robustness, you are empowered to configure both Fast MA and Slow MA periods and sources, making the detection logic applicable to any symbol, timeframe, or asset class.
Internally, the script runs dedicated calculations on each chosen symbol and timeframe, generating independent signals using exponential moving averages (EMA). Using the TradingView `request.security` function, it fetches and processes price data for up to eight portfolio assets on four timeframes, displaying the detected Golden Cross, Bullish, or Bearish states in a central screener table.
Trading Ideas and Insights
Spot emerging bullish or bearish trends across your favorite crypto pairs or trading assets in real time.
Capture prime opportunities when multiple assets align with Golden Cross signals—ideal for portfolio rebalancing or rotational strategies.
Analyze trend consistency by monitoring cross events at multiple timeframes for a given asset.
Swiftly identify when short-term and long-term momentum diverge—flagging potential reversals or trend initiations.
The Golden Cross Screener Pineify is not just a trend signal; it’s a holistic multi-asset scanner built for traders who know the power of combining technical breadth with agile timing.
How Multiple Indicators Work Together
This screener stands out with its modular approach: each asset/timeframe pair is monitored in isolation, yet displayed collectively for multidimensional market insight. Each symbol’s price action is processed through independently configured EMAs—Fast and Slow—whose crossovers are analyzed for directional bias. The implementation’s real innovation is in its screener table engine: it aggregates signals, synchronizes timeframes, and color-codes market states, allowing users to see confluences, divergences, and sector trends at a glance.
Combining Golden Cross detection with customizable moving averages and flexible multi-timeframe, multi-symbol scanning means users can fine-tune sensitivity, focus on specific signals, and adapt screener logic for scalping, swing trading, or investing.
Unique Aspects
True multi-symbol screener within the TradingView indicator framework.
Full customization of screener assets, timeframes, and moving averages.
Advanced, efficient use of TradingView table for clear, actionable visualization.
No dependency on standard, static MA settings—adjust everything to match your strategy.
Big-picture and granular trend detection in one tool, designed for both active traders and portfolio managers.
How to Use
Add the Golden Cross Screener Pineify to your TradingView chart.
Choose up to eight symbols—crypto, stock, forex, or custom assets.
Set four timeframes for screening, from lower to higher intervals.
Adjust moving average sources (price, close, etc.) and period lengths for both Fast and Slow MAs to suit your trading style.
Interpret table cells: clear labels and color indicate Golden Cross (trend shift), Bullish (uptrend), Bearish (downtrend) states for each symbol/timeframe.
React to signal alignments—deploy or rebalance positions, increase alert sensitivity, or backtest sequence confluences.
Customization
The indicator’s inputs panel gives full control:
Select which symbols to screen, making it perfect for any asset watchlist.
Pick the desired timeframes—mix daily, hourly, or minute-based intervals.
Adjust Fast and Slow MA settings: switch source type, change period length, and fine-tune detection logic as needed.
Style your screener table via TradingView settings (colors, font sizes, alignment).
Every element is customizable—adapt the Golden Cross Screener Pineify for your specific portfolio, trading timeframe, and strategy focus.
Conclusion
The Golden Cross Screener Pineify elevates multi-symbol trend detection to a new level on TradingView. By combining configurable Golden Cross logic with a powerful screener engine, it serves both precision and broad market insight—crucial for agile traders and strategic portfolio managers. Whether you’re tracking crypto pairs, stocks, forex, or a mix, this tool transforms static trend analysis into an active, multi-dimensional trading edge.
Tape Pressure Proxy — CVD Panel (Oscillators) v1.1 2. Add TV_TapePressure_CVDPanel.pine in a new pane to see CVD, CVD slope, and Imbalance (Z) histogram with thresholds.
3. Set alerts on the overlay script:
• “Bull Tape Pressure” → long scalps
• “Bear Tape Pressure” → short/puts scalps
4. Tune: imbThresh (0.6–1.2 typical), deltaLen (10–30), and volume filter per symbol/timeframe.
Candle Range Trading (CRT) with Alerts
📌 Description:
The Candle Range Trading (CRT) indicator identifies potential reversal or continuation setups based on specific two-candle price action patterns.
It analyzes pairs of candles to detect Bullish or Bearish CRT patterns and provides visual signals (triangles) and alert notifications to support scalp or swing trading strategies.
🔍 How It Works:
🔻 Bearish CRT Pattern:
Candle 1 is bullish
Candle 2 is bearish
Candle 2's high > Candle 1's high
Candle 2 closes within Candle 1’s range
🔺 Red triangle above candle
🔺 Bullish CRT Pattern:
Candle 1 is bearish
Candle 2 is bullish
Candle 2's low < Candle 1's low
Candle 2 closes within Candle 1’s range
🔻 Green triangle below candle
📈 Visual Features:
🔺 Red triangle = Bearish CRT
🔻 Green triangle = Bullish CRT
📏 Optional box showing CRT High and CRT Low
🔔 Built-in Alerts:
Bullish CRT Alert: "Bullish CRT Pattern Detected"
Bearish CRT Alert: "Bearish CRT Pattern Detected"
Set alerts to get notified instantly when a pattern is detected.
⚠️ Note:
Use in conjunction with trend filters, support/resistance, or volume for best results.
Ideal for scalping or short-term trades.
Avoid trading in choppy or low-volume markets.
⚠️ Disclaimer:
This script was generated with the assistance of ChatGPT by OpenAI and is intended for educational and informational purposes only.
All strategies, alerts, and signals derived from this indicator should be thoroughly backtested and validated before using in live trading.
Trading involves substantial risk, and past performance is not indicative of future results. The author and ChatGPT bear no responsibility for any trading losses or financial decisions made using this script.
Users are solely responsible for the risks associated with their trading actions. Always apply proper risk management and perform your own due diligence before making any financial decisions.
Reversal Trading Bot Strategy[BullByte]Overview :
The indicator Reversal Trading Bot Strategy is crafted to capture potential market reversal points by combining momentum, volatility, and trend alignment filters. It uses a blend of technical indicators to identify both bullish and bearish reversal setups, ensuring that multiple market conditions are met before entering a trade.
Core Components :
Technical Indicators Used :
RSI (Relative Strength Index) :
Purpose : Detects divergence conditions by comparing recent lows/highs in price with the RSI.
Parameter : Length of 8.
Bollinger Bands (BB) :
Purpose : Measures volatility and identifies price levels that are statistically extreme.
Parameter : Length of 20 and a 2-standard deviation multiplier.
ADX (Average Directional Index) & DMI (Directional Movement Index) :
Purpose : Quantifies the strength of the trend. The ADX threshold is set at 20, and additional filters check for the alignment of the directional indicators (DI+ and DI–).
ATR (Average True Range) :
Purpose : Provides a volatility measure used to set stop levels and determine risk through trailing stops.
Volume SMA (Simple Moving Average of Volume ):
Purpose : Helps confirm strength by comparing the current volume against a 20-period average, with an optional filter to ensure volume is at least twice the SMA.
User-Defined Toggle Filters :
Volume Filter : Confirms that the volume is above average (or twice the SMA) before taking trades.
ADX Trend Alignment Filter : Checks that the ADX’s directional indicators support the trade direction.
BB Close Confirmation : Optionally refines the entry by requiring price to be beyond the upper or lower Bollinger Band rather than just above or below.
RSI Divergence Exit : Allows the script to close positions if RSI divergence is detected.
BB Mean Reversion Exit : Closes positions if the price reverts to the Bollinger Bands’ middle line.
Risk/Reward Filter : Ensures that the potential reward is at least twice the risk by comparing the distance to the Bollinger Band with the ATR.
Candle Movement Filter : Optional filter to require a minimum percentage move in the candle to confirm momentum.
ADX Trend Exit : Closes positions if the ADX falls below the threshold and the directional indicators reverse.
Entry Conditions :
Bullish Entry :
RSI Divergence : Checks if the current close is lower than a previous low while the RSI is above the previous low, suggesting bullish divergence.
Bollinger Confirmation : Requires that the price is above the lower (or upper if confirmation is toggled) Bollinger Band.
Volume & Trend Filters : Combines volume condition, ADX strength, and an optional candle momentum condition.
Risk/Reward Check : Validates that the trade meets a favorable risk-to-reward ratio.
Bearish Entry :
Uses a mirror logic of the bullish entry by checking for bearish divergence, ensuring the price is below the appropriate Bollinger level, and confirming volume, trend strength, candle pattern, and risk/reward criteria.
Trade Execution and Exit Strateg y:
Trade Execution :
Upon meeting the entry conditions, the strategy initiates a long or short position.
Stop Loss & Trailing Stops :
A stop-loss is dynamically set using the ATR value, and trailing stops are implemented as a percentage of the close price.
Exit Conditions :
Additional exit filters can trigger early closures based on RSI divergence, mean reversion (via the middle Bollinger Band), or a weakening trend as signaled by ADX falling below its threshold.
This multi-layered exit strategy is designed to lock in gains or minimize losses if the market begins to reverse unexpectedly.
How the Strategy Works in Different Market Conditions :
Trending Markets :
The ADX filter ensures that trades are only taken when the trend is strong. When the market is trending, the directional movement indicators help confirm the momentum, making the reversal signal more reliable.
Ranging Markets :
In choppy markets, the Bollinger Bands expand and contract, while the RSI divergence can highlight potential turning points. The optional filters can be adjusted to avoid false signals in low-volume or low-volatility conditions.
Volatility Management :
With ATR-based stop-losses and a risk/reward filter, the strategy adapts to current market volatility, ensuring that risk is managed consistently.
Recommendation on using this Strategy with a Trading Bot :
This strategy is well-suited for high-frequency trading (HFT) due to its ability to quickly identify reversal setups and execute trades dynamically with automated stop-loss and trailing exits. By integrating this script with a TradingView webhook-based bot or an API-driven execution system, traders can automate trade entries and exits in real-time, reducing manual execution delays and capitalizing on fast market movements.
Disclaimer :
This script is provided for educational and informational purposes only. It is not intended as investment advice. Trading involves significant risk, and you should always conduct your own research and analysis before making any trading decisions. The author is not responsible for any losses incurred while using this script.
Quantum Momentum FusionPurpose of the Indicator
"Quantum Momentum Fusion" aims to combine the strengths of RSI (Relative Strength Index) and Williams %R to create a hybrid momentum indicator tailored for volatile markets like crypto:
RSI: Measures the strength of price changes, great for understanding trend stability but can sometimes lag.
Williams %R: Assesses the position of the price relative to the highest and lowest levels over a period, offering faster responses but sensitive to noise.
Combination: By blending these two indicators with a weighted average (default 50%-50%), we achieve both speed and reliability.
Additionally, we use the indicator’s own SMA (Simple Moving Average) crossovers to filter out noise and generate more meaningful signals. The goal is to craft a simple yet effective tool, especially for short-term trading like scalping.
How Signals Are Generated
The indicator produces signals as follows:
Calculations:
RSI: Standard 14-period RSI based on closing prices.
Williams %R: Calculated over 14 periods using the highest high and lowest low, then normalized to a 0-100 scale.
Quantum Fusion: A weighted average of RSI and Williams %R (e.g., 50% RSI + 50% Williams %R).
Fusion SMA: 5-period Simple Moving Average of Quantum Fusion.
Signal Conditions:
Overbought Signal (Red Background):
Quantum Fusion crosses below Fusion SMA (indicating weakening momentum).
And Quantum Fusion is above 70 (in the overbought zone).
This is a sell signal.
Oversold Signal (Green Background):
Quantum Fusion crosses above Fusion SMA (indicating strengthening momentum).
And Quantum Fusion is below 30 (in the oversold zone).
This is a buy signal.
Filtering:
The background only changes color during crossovers, reducing “fake” signals.
The 70 and 30 thresholds ensure signals trigger only in extreme conditions.
On the chart:
Purple line: Quantum Fusion.
Yellow line: Fusion SMA.
Red background: Sell signal (overbought confirmation).
Green background: Buy signal (oversold confirmation).
Overall Assessment
This indicator can be a fast-reacting tool for scalping. However:
Volatility Warning: Sudden crypto pumps/dumps can disrupt signals.
Confirmation: Pair it with price action (candlestick patterns) or another indicator (e.g., volume) for validation.
Timeframe: Works best on 1-5 minute charts.
Suggested Settings for Long Timeframes
Here’s a practical configuration for, say, a 4-hour chart:
RSI Period: 20
Williams %R Period: 20
RSI Weight: 60%
Williams %R Weight: 40% (automatically calculated as 100 - RSI Weight)
SMA Period: 15
Overbought Level: 75
Oversold Level: 25
Volume Footprint POC for Every CandleCalculating and plotting the Point of Control (POC) for every candle on a volume footprint chart can provide valuable insights for traders. Here are some interpretations and uses of this information:
1. Identify Key Price Levels
Highest Traded Volume: The POC represents the price level with the highest traded volume for each candle. This level often acts as a significant support or resistance level.
Confluence Zones: When multiple POCs align at similar price levels over several candles, it indicates strong support or resistance zones.
2. Gauge Market Sentiment
Buyer and Seller Activity: High volume at certain price levels can indicate where buyers and sellers are most active. A rising POC suggests stronger buying activity, while a falling POC suggests stronger selling activity.
Volume Profile: Analyzing the volume profile helps in understanding the distribution of traded volume across different price levels, providing insights into market sentiment and potential reversals.
3. Spot Trends and Reversals
Trend Continuation: Consistent upward or downward shifts in POC levels can indicate a trend continuation. Traders can use this information to stay in trending positions.
Reversal Signals: A sudden change in the POC direction may signal a potential reversal. This can be used to take profits or enter new positions.
4. Intraday Trading Strategies
Short-Term Trading: Intraday traders can use the POC to make informed decisions on entry and exit points. For example, buying near the POC during an uptrend or selling near the POC during a downtrend.
Scalping Opportunities: High-frequency traders can use shifts in the POC to scalp small profits from price movements around these key levels.
5. Volume-Based Indicators
Confirmation of Other Indicators: The POC can be used in conjunction with other technical indicators (e.g., moving averages, RSI) to confirm signals and improve trading accuracy.
Support and Resistance: Combining the POC with traditional support and resistance levels can provide a more comprehensive view of the market dynamics.
In summary, the Point of Control (POC) is a valuable tool for traders to understand market behavior, identify key levels, and make more informed trading decisions. If you have specific questions or need further details on how to use this information in your trading strategy, feel free to ask! 😊
Uptrick: Momentum Channel Indicator
### 🌟 **Uptrick: Momentum Channel Indicator (MC_Ind)** 🌟
The **"Uptrick: Momentum Channel Indicator"** is a powerful tool designed to help traders gauge market momentum and identify potential overbought or oversold conditions. Whether you're a day trader, swing trader, or long-term investor, this indicator can be your compass 🧭 in the complex world of trading.
### 🎯 **Purpose of the Indicator**
The primary goal of the **Momentum Channel Indicator** is to measure the deviation of price from its moving average (the mid-point) and to smooth this deviation to identify momentum shifts. By plotting overbought and oversold levels, the indicator helps traders spot potential reversal points where the market might change direction, offering valuable entry or exit signals.
### 🔧 **Inputs & Parameters**
Let's break down the input parameters that you can adjust to tailor the indicator to your trading style:
1. **`length1` (Channel Length) 📏**: This is the period over which the moving average (mid-point) and price deviation are calculated. The default value is 14, meaning the last 14 bars are considered for calculations.
2. **`length2` (Smoothing Length) 🧘**: This parameter controls the smoothing of the channel index, with a default value of 28. The higher the value, the smoother the momentum line, reducing noise and making trends more visible.
3. **`overbought1` & `overbought2` (Overbought Levels) 🔴**: These levels, set at 70 and 65 by default, represent the threshold above which the market is considered overbought, potentially signaling a selling opportunity.
4. **`oversold1` & `oversold2` (Oversold Levels) 🟢**: Similarly, these levels, set at -70 and -65, mark the threshold below which the market is considered oversold, indicating a potential buying opportunity.
### 🛠️ **How the Indicator Works**
Now, let's dive into the mechanics of the Momentum Channel Indicator:
1. **Mid-Point Calculation 🏁**: The mid-point is calculated using a simple moving average (SMA) of the closing prices over the `length1` period. This mid-point acts as a reference line from which deviations are measured.
2. **Price Deviation 📊**: The price deviation is the absolute difference between the closing price and the mid-point, smoothed over the same period (`length1`). This represents the typical price movement away from the mid-point.
3. **Channel Index 📉**: The channel index is calculated by dividing the price deviation by a fraction (0.01) of the mid-point, providing a normalized measure of how far the price has deviated from the average.
4. **Smoothing of the Channel Index 🌊**: The smoothed index (`mci1`) is calculated by applying a smoothing filter (SMA) over the channel index using the `length2` parameter. This helps reduce noise and highlight the true momentum of the market.
5. **Momentum Lines 📈**:
- **`mci1`**: The main momentum line, representing the smoothed channel index.
- **`mci2`**: A secondary momentum line, which is a further smoothed version of `mci1` using a 6-period SMA.
6. **Signal Lines 🚦**:
- **Overbought & Oversold Levels**: Horizontal lines plotted at `overbought1`, `overbought2`, `oversold1`, and `oversold2` levels serve as visual cues for overbought and oversold conditions.
- **Zero Line**: A central reference line at 0, indicating neutral momentum.
### 📈 **How to Use the Indicator**
#### 1. **Day Traders ⚡**
For day traders, the Momentum Channel Indicator can be a quick signal generator for short-term trades. Here's how you can use it:
- **Identify Entry Points 🎯**: Look for a **bullish crossover** when `mci1` crosses above `mci2` from below the `oversold1` level. This signals a potential upward reversal.
- **Spot Exit Points 🏁**: Watch for a **bearish crossunder** when `mci1` crosses below `mci2` from above the `overbought1` level. This could indicate a downward reversal.
- **Scalping 🔄**: In a fast-moving market, use the indicator to scalp by entering and exiting trades at these crossover points, with a tight stop-loss strategy.
#### 2. **Swing Traders 🎢**
Swing traders benefit from using the Momentum Channel Indicator to identify potential reversal points over a longer period:
- **Trend Confirmation 📊**: Use the smoothing effect of `mci2` to confirm trends. If `mci2` remains consistently above 0, it indicates a strong bullish trend, and vice versa.
- **Overbought/Oversold Reversals 🚀**: Enter trades when the price approaches the overbought or oversold levels (`overbought1`, `oversold1`). Combine this with other indicators, such as RSI, for more reliable signals.
- **Hold Positions 🧗**: Let the momentum lines guide your hold strategy. If the momentum lines stay aligned (both `mci1` and `mci2` are moving in the same direction), consider holding the position until a crossover or reversal signal appears.
#### 3. **Long-Term Investors 🏦**
For long-term investors, the Momentum Channel Indicator helps in fine-tuning entry and exit points based on broader market momentum:
- **Divergence Analysis 📐**: Look for divergence between the price and the momentum lines. If the price makes new highs but the momentum lines do not, it could signal a weakening trend and a potential reversal.
- **Strategic Entry/Exit 🏹**: Use the `overbought2` and `oversold2` levels to strategically enter or exit positions. These secondary levels provide an early warning before the market reaches extreme conditions.
- **Risk Management 🛡️**: The indicator can also be used as part of a risk management strategy by identifying when to reduce exposure in overbought markets or increase exposure in oversold markets.
### 🖼️ **Visualization & Interpretation**
The Momentum Channel Indicator is visually intuitive, with each component providing key insights:
1. **Momentum Lines (MCI1 & MCI2) 📈**:
- **Blue Line (`mci1`)**: Represents the main momentum line, providing immediate insights into market direction.
- **Orange Line (`mci2`)**: A secondary momentum line, further smoothed to confirm trends.
2. **Overbought/Oversold Levels 🔴🟢**:
- **Solid & Dashed Lines**: These lines highlight overbought and oversold regions, guiding traders on when to consider entering or exiting trades.
3. **MCI Difference (Purple Area) 🌌**:
- **Shaded Area**: The difference between `mci1` and `mci2`, shaded in purple, helps visualize the strength of the momentum. The larger the shaded area, the stronger the momentum.
### 🚀 **Advanced Tips & Tricks**
For those looking to maximize the potential of the Momentum Channel Indicator, here are some advanced strategies:
1. **Combine with Volume Indicators 📊**: Use volume indicators like OBV (On-Balance Volume) or Volume Oscillator to confirm momentum signals. For instance, a bullish crossover combined with increasing volume can reinforce a buy signal.
2. **Multiple Timeframe Analysis 🕒**: Apply the Momentum Channel Indicator across multiple timeframes (e.g., daily and weekly) to get a more comprehensive view of the market. This can help in aligning short-term trades with long-term trends.
3. **Adjusting Parameters 🔄**: Depending on market conditions, tweak the `length1` and `length2` parameters. In a highly volatile market, shorter lengths might provide quicker signals, whereas in a stable market, longer lengths could smooth out noise.
4. **Divergence & Convergence 📐**: Watch for divergence between price and momentum lines as a leading indicator of potential reversals. Convergence (when the price and momentum move in sync) can confirm the strength of the trend.
### **Conclusion**
The **Uptrick: Momentum Channel Indicator** is a versatile tool that can be customized for various trading styles and market conditions. Whether you're trading in fast-paced environments or analyzing long-term trends, this indicator offers a clear and intuitive way to gauge market momentum, identify potential reversals, and make informed trading decisions.
By understanding and applying the principles outlined above, you can harness the full power of this indicator, transforming your trading strategy from good to great! 🌟
Buy Sell using 5-8-13 EMA, RSI, PSAR IndicatorThis indicator generates Scalping and Strong Buy/Sell Signals.
Quick Scalp signals are generated using 5 EMA and RSI.
Strong Buy/Sell Signals are generated using combination of 5-8-13 EMA and Parabolic SAR.
Signals generated:
QB: Quick Buy
QS: Quick Sell
SB: Strong Buy
SS: Strong Sell
PSAR BBPT ZLSMA BTC 1minLong entry:
PSAR gives buy signal
BBPT prints green histogram
ZLSMA is below the price
ZLSMA has uptrend
SL is smaller than the max SL
Optional Sessions and EMA filters
Short entry
PSAR gives sell signal
BBPT prints red histogram
ZLSMA is above the price
ZLSMA has downtrend
SL is smaller than the max SL
Optional Sessions and EMA filters
SL:
Placed below ZLSMA + offset on long
Placed above ZLSMA + offset on short
TP1:
1x the SL by default
Takes no profit by default, 50% is also a good setting
TP2:
2x the SL by default
Take out all remaining position size.
If price reaches TP1, the SL is set to the entry price.
