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Bar Balance [LucF]Bar Balance extracts the number of up, down and neutral intrabars contained in each chart bar, revealing information on the strength of price movement. It can display stacked columns representing raw up/down/neutral intrabar counts, or an up/down balance line which can be calculated and visualized in many different ways. WARNING: This is an analysis tool that works on historical bars only. It does not show any realtime information, and thus cannot be used to issue alerts or for automated trading. When realtime bars elapse, the indicator will require a browser refresh, a change to its Inputs or to the chart's timeframe/symbol to recalculate and display information on those elapsed bars. Once a trader understands this, the indicator can be used advantageously to make discretionary trading decisions. Traders used to work with my  Delta Volume Columns Pro  will feel right at home in this indicator's Inputs . It has lots of options, allowing it to be used in many different ways. If you value the bar balance information this indicator mines, I hope you will find the time required to master the use of Bar Balance well worth the investment. █  OVERVIEW The indicator has two modes: Columns and Line . Columns • In Columns mode you can display stacked Up/Down/Neutral columns. • The "Up" section represents the count of intrabars where `close > open`, "Down" where `close < open` and "Neutral" where `close = open`. • The Up section always appears above the centerline, the Down section below. The Neutral section overlaps the centerline, split halfway above and below it.  The Up and Down sections start where the Neutral section ends, when there is one. • The Up and Down sections can be colored independently using 7 different methods. • The signal line plotted in Line mode can also be displayed in Columns mode. Line • Displays a single balance line using a zero centerline. • A variable number of independent methods can be used to calculate the line (6), determine its color (5), and color the fill (5).  You can thus evaluate the state of 3 different components with this single line. • A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events. Features available in both modes • The color of all components can be selected from 15 base colors, with 16 gradient levels used for each base color in the indicator's gradients. • A zero line can show a 6-state aggregate value of the three main volume balance modes. • The background can be colored using any of 5 different methods. • Chart bars can be colored using 5 different methods. • Divergence and large neutral count ratio events can be shown in either Columns or Line mode, calculated in one of 4 different methods. • Markers on 6 different conditions can be displayed. █  CONCEPTS Intrabar inspection Intrabar inspection means the indicator looks at lower timeframe bars ( intrabars ) making up a given chart bar to gather its information. If your chart is on a 1-hour timeframe and the intrabar resolution determined by the indicator is 5 minutes, then 12 intrabars will be analyzed for each chart bar and the count of up/down/neutral intrabars among those will be tallied. Bar Balances and calculation methods The indicator uses a variety of methods to evaluate bar balance and to derive other calculations from them: 1. Balance on Bar : Uses the relative importance of instant Up and Down counts on the bar. 2. Balance Averages : Uses the difference between the EMAs of Up and Down counts. 3. Balance Momentum : Starts by calculating, separately for both Up and Down counts, the difference between the same EMAs used in Balance Averages and an SMA of double the period used for the EMAs. These differences are then aggregated and finally, a bounded momentum of that aggregate is calculated using RSI. 4. Markers Bias : It sums the bull/bear occurrences of the four previous markers over a user-defined period (the default is 14). 5. Combined Balances : This is the aggregate of the instant bull/bear bias of the three main bar balances. 6. Dual Up/Down Averages : This is a display mode showing the EMA calculated for each of the Up and Down counts. Interpretation of neutral intrabars What do neutral intrabars mean? When price does not change during a bar, it can be because there is simply no interest in the market, or because of a perfect balance between buyers and sellers. The latter being more improbable, Bar Balance assumes that neutral bars reveal a lack of interest, which entails uncertainty. That is the reason why the option is provided to interpret ratios of neutral intrabars greater than 50% as divergences. It is also the rationale behind the option to dampen signal lines on the inverse ratio of neutral intrabars, so that zero intrabars do not affect the signal, and progressively larger proportions of neutral intrabars will reduce the signal's amplitude, as the balance calcs using the up/down counts lose significance. The impact of the dampening will vary with markets. Weaker markets such as cryptos will often contain greater numbers of neutral intrabars, so dampening the Line in that sector will have a greater impact than in more liquid markets. █  FEATURES 1 — Columns • While the size of the Up/Down columns always represents their respective importance on the bar, their coloring mode is independent. The default setup uses a standard coloring mode where the Up/Down columns over/under the zero line are always in the bull/bear color with a higher intensity for the winning side. Six other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on Balance Averages, for example, you will end up with bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "Up/Down Ratio on Bar — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar. • Line mode shows only the line, but Columns mode allows displaying the line along with it. If the scale of the line is different than that of the scale of the columns, the line will often appear flat. Traders may find even a flat line useful as its bull/bear colors will be easily distinguishable. 2 — Line • The default setup for Line mode uses a calculation on "Balance Momentum", with a fill on the longer-term "Balance Averages" and a line color based on the "Markers Bias". With the background set on "Line vs Divergence Levels" and the zero line on the hard-coded "Combined Bar Balances", you have access to five distinct sources of information at a glance, to which you can add divergences, divergences levels and chart bar coloring. This provides powerful potential in displaying bar balance information. • When no columns are displayed, Line mode can show the full scale of whichever line you choose to calculate because the columns' scale no longer interferes with the line's scale. • Note that when "Balance on Bar" is selected, the Neutral count is also displayed as a ratio of the balance line. This is the only instance where the Neutral count is displayed in Line mode. • The "Dual Up/Down Averages" is an exception as it displays two lines: one average for the Up counts and another for the Down counts. This mode will be most useful when Columns are also displayed, as it provides a reference for the top and bottom columns. 3 — Zero Line The zero line can be colored using two methods, both based on the Combined Balances, i.e., the aggregate of the instant bull/bear bias of the three main bar balances. • In "Six-state Dual Color Gradient" mode, a dot appears on every bar. Its color reflects the bull/bear state of the Combined Balances, and the dot's brightness reflects the tally of balance biases. • In "Dual Solid Colors (All Bull/All Bear Only)" a dot only appears when all three balances are either bullish or bearish. The resulting pattern is identical to that of Marker 1. 4 — Divergences • Divergences are displayed as a small circle at the top of the scale. Four different types of divergence events can be detected. Divergences occur whenever the bull/bear bias of the method used diverges with the bar's price direction. • An option allows you to include in divergence events instances where the count of neutral intrabars exceeds 50% of the total intrabar count. • The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It excludes any association of a pre-determined bullish/bearish bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by price's position relative to the levels, which is how I think divergences can be put to the most effective use. 5 — Background • The background can show a bull/bear gradient on four different calculations. You can adjust its brightness to make its visual importance proportional to how you use it in your analysis. 6 — Chart bars • Chart bars can be colored using five different methods. • You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, the idea behind this being that movement on bars where volume does not increase is less relevant. 7 — Intrabar Resolution You can choose between three modes. Two of them are automatic and one is manual:   a) Fast, Longer history, Auto-Steps (~12 intrabars) : Optimized for speed and deeper history. Uses an average minimum of 12 intrabars.   b) More Precise, Shorter History Auto-Steps (~24 intrabars) : Uses finer intrabar resolution. It is slower and provides less history. Uses an average minimum of 24 intrabars.   c) Fixed : Uses the fixed resolution of your choice. Auto-Steps calculations vary for 24/7 and conventional markets in order to achieve the proper target of minimum intrabars. You can choose to view the intrabar resolution currently used to calculate delta volume. It is the default. The proper selection of the intrabar resolution is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors. 8 — Markers Six markers are available: 1. Combined Balances Agreement : All three Bar Balances are either bullish or bearish. 2. Up or Down % Agrees With Bar : An up marker will appear when the percentage of up intrabars in an up chart bar is greater than the specified percentage. Conditions mirror to down bars. 3. Divergence confirmations By Price : One of the four types of balance calculations can be used to detect divergences with price. Confirmations occur when the bar following the divergence confirms the balance bias. Note that the divergence events used here do not include neutral intrabar events. 4. Balance Transitions : Bull/bear transitions of the selected balance. 5. Markers Bias Transitions : Bull/bear transitions of the Markers Bias. 6. Divergence Confirmations By Line : Marks points where the line first breaches a divergence level. Markers appear when the condition is detected, without delay. Since nothing is plotted in realtime, markers do not appear on the realtime bar. 9 — Settings • Two modes can be selected to dampen the line on the ratio of neutral intrabars. • A distinct weight can be attributed to the count of the latter half of intrabars, on the assumption that later intrabars may be more important in determining the outcome of chart bars. • Allows control over the periods of the different moving averages used in calculations. • The default periods used for the various calculations define the following hierarchy from slow to fast:   Balance Averages: 50,   Balance Momentum: 20,   Dual Up/Down Averages: 20,   Marker Bias: 10. █  LIMITATIONS • This script uses a special characteristic of the `security()` function allowing the inspection of intrabars—which is not officially supported by TradingView. • The method used does not work on the realtime bar—only on historical bars. • The indicator only works on some chart resolutions: 3, 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars and the stepping mechanism could require adaptation. • When using the "Line vs Divergence Levels — Dual Color Gradient" color mode to fill the line, background or chart bars, keep in mind that a line calculation mode must be defined for it to work, as it determines gradients on the movement of the line relative to divergence levels. If the line is hidden, it will not work. • When the difference between the chart’s resolution and the intrabar resolution is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this. • Alerts do not work reliably when `security()` is used at intrabar resolutions. Accordingly, no alerts are configured in the indicator. • The color model used in the indicator provides for fancy visuals that come at a price; when you change values in Inputs , it can take 20 seconds for the changes to materialize. Luckily, once your color setup is complete, the color model does not have a large performance impact, as in normal operation the `security()` calls will become the most important factor in determining response time. Also, once in a while a runtime error will occur when you change inputs. Just making another change will usually bring the indicator back up. █  RAMBLINGS Is this thing useful? I'll let you decide. Bar Balance acts somewhat like an X-Ray on bars. The intrabars it analyzes are no secret; one can simply change the chart's resolution to see the same intrabars the indicator uses. What the indicator brings to traders is the precise count of up/down/neutral intrabars and, more importantly, the calculations it derives from them to present the information in a way that can make it easier to use in trading decisions. How reliable is Bar Balance information? By the same token that an up bar does not guarantee that more up bars will follow, future price movements cannot be inferred from the mere count of up/down/neutral intrabars. Price movement during any chart bar for which, let's say, 12 intrabars are analyzed, could be due to only one of those intrabars. One can thus easily see how only relying on bar balance information could be very misleading. The rationale behind Bar Balance is that when the information mined for multiple chart bars is aggregated, it can provide insight into the history behind chart bars, and thus some bias as to the strength of movements. An up chart bar where 11/12 intrabars are also up is assumed to be stronger than the same up bar where only 2/12 intrabars are up. This logic is not bulletproof, and sometimes Bar Balance will stray. Also, keep in mind that balance lines do not represent price momentum as RSI would. Bar Balance calculations have no idea where price is. Their perspective, like that of any historian, is very limited, constrained that it is to the narrow universe of up/down/neutral intrabar counts. You will thus see instances where price is moving up while Balance Momentum, for example, is moving down. When Bar Balance performs as intended, this indicates that the rally is weakening, which does necessarily imply that price will reverse. Occasionally, price will merrily continue to advance on weakening strength. Divergences Most of the divergence detection methods used here rely on a difference between the bias of a calculation involving a multi-bar average and a given bar's price direction. When using "Bar Balance on Bar" however, only the bar's balance and price movement are used. This is the default mode. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for the purported ability of bullish/bearish divergences to indicate imminent reversals. Superfluity In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . Bar Balance can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to Bar Balance and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason—not for window dressing. █  NOTES For traders • To avoid misleading traders who don't read script descriptions, the indicator shows nothing in the realtime bar. • The Data Window shows key values for the indicator. • All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a fixed scale. • Note that because of the way gradients are optimized internally, changing their brightness will sometimes require bringing down the value a few steps before you see an impact. • Because this indicator does not use volume, it will work on all markets. For coders • For those interested in gradients, this script uses an advanced version of the Advance/Decline gradient function from the PineCoders Color Gradient (16 colors) Framework . It allows more precise control over the range, steps and min/max values of the gradients. • I use the PineCoders Coding Conventions for Pine to write my scripts. • I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes. █  THANKS TO: — alexgrover who helped me think through the dampening method used to attenuate signal lines on high ratios of neutral intrabars. — A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator . The technique I use to inspect intrabars is derived from Kuan's code. — theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar resolutions. — midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics. He is also the co-author of the PineCoders Color Gradient Frameworks .
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Delta Volume Columns Pro [LucF]█  OVERVIEW This indicator displays volume​​ delta information calculated with intrabar inspection on historical bars, and feed updates when running in realtime. It is designed to run in a pane and can display either stacked buy/sell volume​ columns or a signal line which can be calculated and displayed in many different ways. Five different models are offered to reveal different characteristics of the calculated volume​ delta information. Many options are offered to visualize the calculations, giving you much leeway in morphing the indicator's visuals to suit your needs. If you value delta volume​ information, I hope you will find the time required to master Delta Volume​ Columns Pro well worth the investment. I am confident that if you combine a proper understanding of the indicator's information with an intimate knowledge of the volume​ idiosyncrasies on the markets you trade, you can extract useful market intelligence using this tool. █  WARNINGS 1. The indicator only works on markets where volume​ information is available,   Please validate that your symbol's feed carries volume​ information before asking me why the indicator doesn't plot values. 2. When you refresh your chart or re-execute the script on the chart, the indicator will repaint because elapsed realtime bars will then recalculate as historical bars. 3. Because the indicator uses different modes of calculation on historical and realtime bars, it's critical that you understand the differences between them. Details are provided further down. 4. Calculations using intrabar inspection on historical bars can only be done from some chart timeframes. See further down for a list of supported timeframes.   If the chart's timeframe is not supported, no historical volume​ delta will display. █  CONCEPTS Chart bars Three different types of bars are used in charts:  1. Historical bars are bars that have already closed when the script executes on them.  2. The realtime bar is the current, incomplete bar where a script is running on an open market. There is only one active realtime bar on your chart at any given time.    The realtime bar is where alerts trigger.  3. Elapsed realtime bars are bars that were calculated when they were realtime bars but have since closed.    When a script re-executes on a chart because the browser tab is refreshed or some of its inputs are changed, elapsed realtime bars are recalculated as historical bars. Why does this indicator use two modes of calculation? Historical bars on TradingView charts contain OHLCV data only, which is insufficient to calculate volume​ delta on them with any level of precision. To mine more detailed information from those bars we look at intrabars , i.e., bars from a smaller timeframe (we call it the intrabar timeframe ) that are contained in one chart bar. If your chart Is running at 1D on a 24x7 market for example, most 1D chart bars will contain 24 underlying 1H bars in their dilation. On historical bars, this indicator looks at those intrabars to amass volume​ delta information. If the intrabar is up, its volume​ goes in the Buy bin, and inversely for the Sell bin. When price does not move on an intrabar, the polarity of the last known movement is used to determine in which bin its volume​ goes. In realtime, we have access to price and volume​ change for each update of the chart. Because a 1D chart bar can be updated tens of thousands of times during the day, volume​ delta calculations on those updates is much more precise. This precision, however, comes at a price:  — The script must be running on the chart for it to keep calculating in realtime.  — If you refresh your chart you will lose all accumulated realtime calculations on elapsed realtime bars, and the realtime bar.   Elapsed realtime bars will recalculate as historical bars, i.e., using intrabar inspection, and the realtime bar's calculations will reset.   When the script recalculates elapsed realtime bars as historical bars, the values on those bars will change, which means the script repaints in those conditions.  — When the indicator first calculates on a chart containing an incomplete realtime bar, it will count ALL the existing volume​ on the bar as Buy or Sell volume​,   depending on the polarity of the bar at that point. This will skew calculations for that first bar. Scripts have no access to the history of a realtime bar's previous updates,   and intrabar inspection cannot be used on realtime bars, so this is the only to go about this.  — Even if alerts only trigger upon confirmation of their conditions after the realtime bar closes, they are repainting alerts   because they would perhaps not have calculated the same way using intrabar inspection.  — On markets like stocks that often have different EOD​ and intraday feeds and volume​ information,   the volume's scale may not be the same for the realtime bar if your chart is at 1D, for example,   and the indicator is using an intraday timeframe to calculate on historical bars.  — Any chart timeframe can be used in realtime mode, but plots that include moving averages in their calculations may require many elapsed realtime bars before they can calculate.   You might prefer drastically reducing the periods of the moving averages, or using the volume​ columns mode, which displays instant values, instead of the line. Volume Delta Balances This indicator uses a variety of methods to evaluate five volume​ delta balances and derive other values from those balances. The five balances are: 1 — On Bar Balance : This is the only balance using instant values; it is simply the subtraction of the Sell volume​ from the Buy volume​ on the bar. 2 — Average Balance : Calculates a distinct EMA for both the Buy and Sell volumes, and subtracts the Sell EMA from the Buy EMA. 3 — Momentum Balance : Starts by calculating, separately for both Buy and Sell volumes, the difference between the same EMAs used in "Average Balance" and   an SMA of double the period used for the "Average Balance" EMAs. The difference for the Sell side is subtracted from the difference for the Buy side,   and an RSI of that value is calculated and brought over the −50/+50 scale. 4 — Relative Balance : The reference values used in the calculation are the Buy and Sell EMAs used in the "Average Balance".   From those, we calculate two intermediate values using how much the instant Buy and Sell volumes on the bar exceed their respective EMA — but with a twist.   If the bar's Buy volume​ does not exceed the EMA of Buy volume​, a zero value is used. The same goes for the Sell volume​ with the EMA of Sell volume​.   Once we have our two intermediate values for the Buy and Sell volumes exceeding their respective MA, we subtract them. The final "Relative Balance" value is an ALMA of that subtraction.   The rationale behind using zero values when the bar's Buy/Sell volume​ does not exceed its EMA is to only take into account the more significant volume​.   If both instant volume​ values exceed their MA, then the difference between the two is the signal's value.   The signal is called "relative" because the intermediate values are the difference between the instant Buy/Sell volumes and their respective MA.   This balance flatlines when the bar's Buy/Sell volumes do not exceed their EMAs, which makes it useful to spot areas where trader interest dwindles, such as consolidations.   The smaller the period of the final value's ALMA, the more easily you will see the balance flatline. These flat zones should be considered no-trade zones. 5 — Percent Balance : This balance is the ALMA of the ratio of the "On Bar Balance" value, i.e., the volume​ delta balance on the bar (which can be positive or negative),   over the total volume for that bar. From the balances and marker conditions, two more values are calculated: 1 — Marker Bias : It sums the up/down (+1/‒1) occurrences of the markers 1 to 4 over a period you define, so it ranges from −4 to +4, times the period.   Its calculation will depend on the modes used to calculate markers 3 and 4. 2 — Combined Balances : This is the sum of the bull/bear (+1/−1) states of each of the five balances, so it ranges from −5 to +5. █  FEATURES The indicator has two main modes of operation: Columns and Line . Columns • In Columns mode you can display stacked Buy/Sell volume​ columns. • The buy section always appears above the centerline, the sell section below. • The top and bottom sections can be colored independently using eight different methods. • The EMAs of the Buy/Sell values can be displayed (these are the same EMAs used to calculate the "Average Balance"). Line • Displays one of seven signals: the five balances or one of two complementary values, i.e., the "Marker Bias" or the "Combined Balances". • You can color the line and its fill using independent calculation modes to pack more information in the display.  You can thus appraise the state of 3 different values using the line itself, its color and the color of its fill. • A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events. Default settings Using the indicator's default settings, this is the information displayed: • The line is calculated on the "Average Balance". • The line's color is determined by the bull/bear state of the "Percent Balance". • The line's fill gradient is determined by the advances/declines of the "Momentum Balance". • The orange divergence dots are calculated using discrepancies between the polarity of the "On Bar Balance" and the chart's bar. • The divergence levels are determined using the line's level when a divergence occurs. • The background's fill gradient is calculated on advances/declines of the "Marker Bias". • The chart bars are colored using advances/declines of the "Relative Balance". Divergences are shown in orange. • The intrabar timeframe is automatically determined from the chart's timeframe so that a minimum of 50 intrabars are used to calculate volume​ delta on historical bars. Alerts The configuration of the marker conditions explained further is what determines the conditions that will trigger alerts created from this script. Note that simply selecting the display of markers does not create alerts. To create an alert on this script, you must use ALT-A from the chart. You can create multiple alerts triggering on different conditions from this same script; simply configure the markers so they define the trigger conditions for each alert before creating the alert. The configuration of the script's inputs is saved with the alert, so from then on you can change them without affecting the alert. Alert messages will mention the marker(s) that triggered the specific alert event. Keep in mind, when creating alerts on small chart timeframes, that discrepancies between alert triggers and markers displayed on your chart are to be expected. This is because the alert and your chart are running two distinct instances of the indicator on different servers and different feeds. Also keep in mind that while alerts only trigger on confirmed conditions, they are calculated using realtime calculation mode, which entails that if you refresh your chart and elapsed realtime bars recalculate as historical bars using intrabar inspection, markers will not appear in the same places they appeared in realtime. So it's important to understand that even though the alert conditions are confirmed when they trigger, these alerts will repaint. Let's go through the sections of the script's inputs. Columns The size of the Buy/Sell columns always represents their respective importance on the bar, but the coloring mode for tops and bottoms is independent. The default setup uses a standard coloring mode where the Buy/Sell columns are always in the bull/bear color with a higher intensity for the winning side. Seven other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on "Average Balance", for example, you will have bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "On Bar Balance — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar. You can display the averages of the Buy and Sell columns. If you do, its coloring is controlled through the "Line" and "Line fill" sections below. Line and Line fill You can select the calculation mode and the thickness of the line, and independent calculations to determine the line's color and fill. Zero Line The zero line can display dots when all five balances are bull/bear. Divergences You first select the detection mode. Divergences occur whenever the up/down direction of the signal does not match the up/down polarity of the bar. Divergences are used in three components of the indicator's visuals: the orange dot, colored chart bars, and to calculate the divergence levels on the line. The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It precludes any attempt to identify a directional bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by the line's position relative to the levels, which is how I think divergences can be put to the most effective use. One of the coloring modes for the line's fill uses advances/declines in the line after divergence events. Background The background can show a bull/bear gradient on six different calculations. As with other gradients, you can adjust its brightness to make its importance proportional to how you use it in your analysis. Chart bars Chart bars can be colored using seven different methods. You have the option of emptying the body of bars where volume​ does not increase, as does my TLD indicator, and you can choose whether you want to show divergences. Intrabar Timeframe This is the intrabar timeframe that will be used to calculate volume​ delta using intrabar inspection on historical bars. You can choose between four modes. The three "Auto-steps" modes calculate, from the chart's timeframe, the intrabar timeframe where the said number of intrabars will make up the dilation of chart bars. Adjustments are made for non-24x7 markets. "Fixed" mode allows you to select the intrabar timeframe you want. Checking the "Show TF" box will display in the lower-right corner the intrabar timeframe used at any given moment. The proper selection of the intrabar timeframe is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors. Note that historical depth will vary with the intrabar timeframe. The smaller the timeframe, the shallower historical plots you will be. Markers Markers appear when the required condition has been confirmed on a closed bar. The configuration of the markers when you create an alert is what determines when the alert will trigger. Five markers are available: • Balances Agreement : All five balances are either bullish​ or bearish​. • Double Bumps : A double bump is two consecutive up/down bars with +/‒ volume​​ delta, and rising Buy/Sell volume​ above its average. • Divergence confirmations : A divergence is confirmed up/down when the chosen balance is up/down on the previous bar when that bar was down/up, and this bar is up/down. • Balance Shifts : These are bull/bear transitions of the selected signal. • Marker Bias Shifts : Marker bias shifts occur when it crosses into bull/bear territory. Periods Allows control over the periods of the different moving averages used to calculate the balances. Volume​ Discrepancies Stock exchanges do not report the same volume​ for intraday and daily (or higher) resolutions. Other variations in how volume​ information is reported can also occur in other markets, namely Forex, where volume​ irregularities can even occur between different intraday timeframes. This will cause discrepancies between the total volume​ on the bar at the chart's timeframe, and the total volume​​ calculated by adding the volume​​ of the intrabars in that bar's dilation. This does not necessarily invalidate the volume​​ delta information calculated from intrabars, but it tells us that we are using partial volume​ data. A mechanism to detect chart vs intrabar timeframe volume​​ discrepancies is provided. It allows you to define a threshold percentage above which the background will indicate a difference has been detected. Other Settings You can control here the display of the gray dot reminder on realtime bars, and the display of error messages if you are using a chart timeframe that is not greater than the fixed intrabar timeframe, when you use that mode. Disabling the message can be useful if you only use realtime mode at chart timeframes that do not support intrabar inspection. █  RAMBLINGS On Volume​ Delta Volume​ is arguably the best complement to interpret price action, and I consider volume​ delta to be the most effective way of processing volume​ information. In periods of low-volatility price consolidations, volume​ will typically also be lower than normal, but slight imbalances in the trend of the buy/sell volume​ balance can sometimes help put early odds on the direction of the break from consolidation. Additionally, the progression of the volume​ imbalance can help determine the proximity of the breakout. I also find volume​ delta and the number of divergences very useful to evaluate the strength of trends. In trends, I am looking for "slow and steady", i.e., relatively low volatility​ and pauses where price action doesn't look like world affairs are being reassessed. In my personal mythology, this type of trend is often more resilient than high-volatility breakouts, especially when volume​ balance confirms the general agreement of traders signaled by the low-volatility usually accompanying this type of trend. The volume​ action on pauses will often help me decide between aggressively taking profits, tightening a stop or going for a longer-term movement. As for reversals, they generally occur in high-volatility areas where entering trades is more expensive and riskier. While the identification of counter-trend reversals fascinates many traders to no end, they represent poor opportunities in my view. Volume​ imbalances often precede reversals, but I prefer to use volume​ delta information to identify the areas following reversals where I can confirm them and make relatively low-cost entries with better odds. On "Buy/Sell" Volume Buying or selling volume​ are misnomers, as every unit of volume​ transacted is both bought and sold by two different traders. While this does not keep me from using the terms, there is no such thing as “buy only” or “sell only” volume​. Trader lingo is riddled with peculiarities. Divergences The divergence detection method used here relies on a difference between the direction of a signal and the polarity (up/down) of a chart bar. When using the default "On Bar Balance" to detect divergences, however, only the bar's volume​ delta is used. You may wonder how there can be divergences between buying/selling volume​ information and price movement on one bar. This will sometimes be due to the calculation's shortcomings, but divergences may also occur in instances where because of order book structure, it takes less volume​ to increase the price of an asset than it takes to decrease it. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. To your pattern-hungry brain, the divergences displayed by this indicator will — as they do on other indicators — appear to often indicate turnarounds. My opinion is that reality is generally quite sobering and I have no reliable information that would tend to prove otherwise. Exercise caution when using them. Consequently, I do not share the overwhelming enthusiasm of traders in identifying bullish​/bearish​ divergences. For me, the best course of action when a divergence occurs is to wait and see what happens from there. That is the rationale underlying how my divergence levels work; they take note of a signal's level when a divergence occurs, and it's the signal's behavior from that point on that determines if the post-divergence action is bullish​/bearish​. Superfluity In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . This indicator can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to it and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason — not for window dressing. █  LIMITATIONS • This script uses a special characteristic of the `security()` function allowing the inspection of intrabars — which is not officially supported by TradingView.  It has the advantage of permitting a more robust calculation of volume​ delta than other methods on historical bars, but also has its limits. • Intrabar inspection only works on some chart timeframes: 3, 5, 10, 15 and 30 minutes, 1, 2, 3, 4, 6, and 12 hours, 1 day, 1 week and 1 month.  The script’s code can be modified to run on other resolutions. • When the difference between the chart’s timeframe and the intrabar timeframe is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this. • All volume​ is not created equally. Its source, components, quality and reliability will vary considerably with sectors and instruments.  The higher the quality, the more reliably volume​ delta information can be used to guide your decisions.  You should make it your responsibility to understand the volume​ information provided in the data feeds you use. It will help you make the most of volume​ delta. █  NOTES For traders • The Data Window shows key values for the indicator. • While this indicator displays some of the same information calculated in my Delta Volume Columns ,  I have elected to make it a separate publication so that traders continue to have a simpler alternative available to them. Both code bases will continue to evolve separately. • All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a pre-determined scale. • Volume​ delta being relative, by nature, it is particularly well-suited to Forex markets, as it filters out quite elegantly the cyclical volume​ data characterizing the sector. If you are interested in volume​ delta, consider having a look at my other "Delta Volume" indicators: • Delta Volume Realtime Action displays realtime volume​ delta and tick information on the chart. • Delta Volume Candles builds volume​​ delta candles on the chart. • Delta Volume Columns is a simpler version of this indicator. For coders • I use the `f_c_gradientRelativePro()` from the PineCoders Color Gradient Framework to build my gradients.  This function has the advantage of allowing begin/end colors for both the bull and bear colors. It also allows us to define the number of steps allowed for each gradient.  I use this to modulate the gradients so they perform optimally on the combination of the signal used to calculate advances/declines,  but also the nature of the visual component the gradient applies to. I use fewer steps for choppy signals and when the gradient is used on discrete visual components  such as volume​ columns or chart bars. • I use the PineCoders Coding Conventions for Pine to write my scripts. • I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes. █  THANKS TO: — The devs from TradingView's Pine and other teams, and the PineCoders who collaborate with them. They are doing amazing work,  and much of what this indicator does could not be done without their recent improvements to Pine. — A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator using a `for` loop.  This indicator started from the intrabar inspection technique illustrated in Kuan's snippet. — theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar timeframes. — midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics.
Pine Script®指标
由LucF提供
125
[BoTo] ATH/2 OverlayThan this indicator is useful? Can help you to understand this indicator who main in the market now. Bulls or bears. How it works All-Time-High ('ATH') - the highest point in price that a cryptocurrency has been in history. Step 1: The 'ATH' line is drawn Step 2: 'ATH/2' line is drawn. Step 3: If the price became more than 'ATH' it means the market bulls have taken, and the price it will be more probable to increase. And vice versa. If the price became less than 'ATH/2' it means that the market was taken by bears, and the price it will be more probable to fall. Step 4: If it is the bull market, then the green background is drawn. And vice versa. If it is the bear market, then the red background is drawn. If the market has changed, then the background will be gray color. Only one candle. How to use it It is possible to use any timeframes, and any symbol. It is possible to use chart type only the japanese candles, the line or bars. Don't use Kagi, Renko or Haiken Ashi! The background can be not shown. You can make 1 or 2 lines. If you have chosen only 1 line, then in the bull market you will see only 'ATH/2' line. And vice versa. In the bear market you will see only the 'ATH' line. You need just to turn on this indicator once to understand what to wait in this market, big falling or big rockets for. And to switch off it that he didn't prevent to analyze. It is the good help for long-term investments (the position can be longer than 1 year) For an example 'Ethereum' 'Ripple' We tried for you. We want to receive your like for good work.
Pine Script®指标
由BoTo提供
1
Bill Williams Divergent BarsBill William Bull/Bear divergent bars See: Book, Trading Chaos by Bill Williams Coded by polyclick A bullish (green) divergent bar, signals a trend switch from bear -> bull -> The current bar has a lower low than the previous bar, but closes in the upper half of the candle. -> This means the bulls are pushing from below and are trying to take over, potentially resulting in a trend switch to bullish. -> We also check if this bar is below the three alligator lines to avoid false positives. A bearish (red) divergent bar, signals a trend switch from bull -> bear -> The current bar has a higher high than the previous bar, but closes in the lower half of the candle. -> This means the bears are pushing the price down and are taking over, potentially resulting in a trend switch to bearish. -> We also check if this bar is above the three alligator lines to avoid false positives. Best used in combination with the Bill Williams Alligator indicator.
Pine Script®指标
由polyclick提供
13
Scalp Breakout Predictor Pro - by Herman Sangivera (Papua)Scalp Breakout Predictor Pro by Herman Sangivera ( Papuan Trader ) Overview The Scalp Breakout Predictor Pro is a high-performance technical indicator designed for scalpers and day traders who thrive on market volatility. This tool specializes in identifying "Squeeze" phases—periods where the market is consolidating sideways—and predicts the likely direction of the upcoming breakout using underlying momentum accumulation. How It Works The indicator combines three core mathematical concepts to ensure "Safe but Fast" entries: Squeeze Detection (BB vs. KC): It monitors the relationship between Bollinger Bands and Keltner Channels. When Bollinger Bands contract inside the Keltner Channels, the market is in a "Squeeze" (represented by the gray background). This indicates that energy is being coiled for a massive move. Momentum Accumulation (Pre-Signal): While the price is still moving sideways, the script analyzes linear regression momentum. PRE-BULL: Momentum is building upwards despite price being flat. PRE-BEAR: Momentum is fading downwards despite price being flat. Breakout Confirmation: An entry signal is only triggered when the Squeeze "fires" (the price breaks out of the bands), ensuring you don't get stuck in a dead market for too long. Key Features Real-time Prediction Labels: Get early warnings (PRE-BULL / PRE-BEAR) to prepare for the trade before it happens. Dynamic TP/SL Lines: Automatically calculates Take Profit and Stop Loss levels based on the Average True Range (ATR), adapting to the current market's "breath." On-Screen Dashboard: A sleek table in the top-right corner displays the current market phase (Squeeze vs. Volatile), the predicted next move, and the current ATR value. Pine Script V6 Optimized: Built using the latest version of TradingView’s coding language for maximum speed and compatibility. Trading Rules Preparation: When you see a Gray Background, the market is sideways. Watch the Dashboard for the "Potential" direction. Anticipation: If a PRE-BULL or PRE-BEAR label appears, get ready to enter. Execution: Enter the trade when the ENTRY BUY (Lime Triangle) or ENTRY SELL (Red Triangle) signal appears. Exit: Follow the Green Line for Take Profit and the Red Line for Stop Loss. Technical Settings HMA Length: Adjusts the sensitivity of the trend filter (Hull Moving Average). TP/SL Multipliers: Allows you to customize your Risk:Reward ratio based on ATR volatility. Squeeze Length: Determines the lookback period for consolidation detection. Disclaimer: Scalping involves high risk. Always test this indicator on a demo account before using it with live capital.
Pine Script®指标
由hermanwomsiwor提供
SMC Liquidity Engine Pro SMC Liquidity Engine Pro - Complete Trading Guide & Documentation 📊 Introduction: Understanding Smart Money Concepts The SMC Liquidity Engine Pro is a comprehensive, institutional-grade trading indicator that brings professional Smart Money Concepts (SMC) methodology directly to your TradingView charts. This isn't just another technical indicator—it's a complete framework for understanding how institutional traders, market makers, banks, and hedge funds manipulate and move the markets. What Makes This Different? While most retail traders rely on lagging indicators like moving averages or RSI, this indicator reveals the real-time footprints of institutional activity. It shows you: Where large players are accumulating or distributing positions How they engineer liquidity to trigger retail stop losses When they're shifting from one directional bias to another Where price inefficiencies exist that institutions will likely revisit The markets don't move randomly—they move based on liquidity. Understanding this fundamental truth is what separates consistently profitable traders from those who struggle. This indicator decodes that liquidity-driven behavior and presents it in clear, actionable visual signals. The Philosophy Behind Smart Money Concepts Smart Money Concepts is built on several core principles: 1. Liquidity is King: Price doesn't move because of patterns or indicators—it moves to collect liquidity (stop losses and pending orders). Institutions need massive liquidity to fill their large positions, so they engineer price movements to create that liquidity before making their real directional move. 2. Market Structure Reveals Intent: The way price forms highs and lows tells a story about who's in control. When structure breaks, it signals a shift in institutional positioning. 3. Inefficiencies Get Filled: When price moves too quickly in one direction, it leaves behind "fair value gaps"—areas of imbalance. Institutions frequently return to these areas to fill orders and restore balance. 4. Manipulation Precedes True Moves: The most explosive directional moves are often preceded by liquidity sweeps in the opposite direction—trapping retail traders before the real move begins. This indicator automates the identification of all these concepts, allowing you to trade alongside the smart money rather than being their exit liquidity. 🎯 Core Features - Deep Dive 1. Market Structure Detection & Visualization What It Is: Market structure forms the foundation of all Smart Money analysis. This indicator automatically identifies and tracks swing highs and swing lows using a sophisticated pivot detection algorithm. These aren't just any price points—they represent areas where the market showed a significant shift in supply and demand dynamics. How It Works: The indicator uses a customizable lookback period to identify valid swing points. A swing high must have lower highs on both sides within the lookback period, and a swing low must have higher lows on both sides. This ensures that only significant structural points are marked, filtering out minor noise and consolidation. Visual Presentation: Bullish Structure (Cyan Lines): Horizontal lines extending from each identified swing high, showing resistance levels that price previously respected Bearish Structure (Red Lines): Horizontal lines extending from each identified swing low, showing support levels where buying pressure emerged Trading Application: These structure levels serve multiple purposes: Target Zones: Previous highs become targets in uptrends; previous lows become targets in downtrends Invalidation Levels: If expecting a bullish move, breaking below the last swing low invalidates the setup Context for Other Signals: All BOS, CHOCH, and liquidity sweep signals gain meaning from their relationship to structure Multi-Timeframe Anchors: Higher timeframe structure provides context for lower timeframe entries Advanced Tip: When multiple timeframe structures align (e.g., a daily swing low coincides with a 4-hour swing low), these levels carry significantly more weight and are more likely to be defended or, when broken, lead to explosive moves. 2. Break of Structure (BOS) - Trend Confirmation What It Is: A Break of Structure occurs when price definitively closes beyond a previous swing high (bullish BOS) or swing low (bearish BOS). This signals that the current trend maintains its momentum and is likely to continue in the same direction. The Institutional Perspective: When institutions want to continue pushing price in a direction, they need to break through previous resistance or support. A clean BOS indicates that: There's sufficient institutional buying/selling to overcome the supply/demand at previous structure The trend has enough momentum to attract more participants Stop losses above/below structure have been triggered, providing liquidity for continuation Signal Characteristics: Bullish BOS Label: Appears below the bar that closes above the previous swing high Bearish BOS Label: Appears above the bar that closes below the previous swing low Confirmation: Requires a full candle close, preventing false signals from wicks Trading Strategies: Trend Continuation Entries: After a BOS, wait for a pullback to a Fair Value Gap or minor structure, then enter in the direction of the break Breakout Trading: Enter immediately on BOS confirmation with a stop below the broken structure Momentum Confirmation: Use BOS to confirm that your existing position is aligned with institutional flow Scaling Strategy: Add to positions on each successive BOS in trending markets What to Watch For: Volume: Strong BOS movements should be accompanied by above-average volume Speed: Rapid price movement through structure suggests institutional urgency Follow-Through: The best BOS signals see price continue strongly without immediately reversing Higher Timeframe Alignment: BOS on higher timeframes (4H, Daily) carry more weight than lower timeframe breaks Common Pitfalls: Not all structure breaks are equal—BOS during ranging markets are less reliable A BOS immediately followed by a reversal back into the range may indicate a failed breakout During major news events, structure can be broken temporarily without institutional intent 3. Liquidity Sweep Detection - Spotting Manipulation What It Is: Liquidity sweeps (also called "stop hunts" or "liquidity grabs") occur when price temporarily breaks beyond a key level to trigger stop losses and pending orders, then immediately reverses back. This is one of the most important concepts in SMC trading because it reveals intentional manipulation. Why Institutions Do This: Large institutional orders can't be filled at a single price point—they need massive liquidity. The biggest pools of liquidity sit just beyond obvious highs and lows where retail traders place their stops. By briefly pushing price into these zones, institutions: Trigger retail stop losses (creating market orders) Activate pending buy/sell orders Fill their large positions at favorable prices Trap late breakout traders before reversing Detection Methodology: The indicator identifies sweeps using multiple criteria: Price must penetrate beyond the structural high/low (creating the sweep) The candle must close back on the opposite side of the structure (confirming rejection) The sweep distance is measured against ATR to distinguish manipulation from normal volatility The sweep multiplier setting allows you to adjust sensitivity based on market conditions Visual Indicators: Orange Down Arrows: Mark liquidity sweeps above structural highs Lime Up Arrows: Mark liquidity sweeps below structural lows Liquidity Zone Boxes: Semi-transparent colored boxes highlight the exact range of the swept area Persistent Display: Zones remain visible for several bars to maintain context Trading Applications: Reversal Trading: Liquidity sweeps often mark excellent reversal points. After a sweep: Wait for the sweep to complete (candle closes back inside structure) Look for a Change of Character signal for confirmation Enter in the direction opposite to the sweep Place stops beyond the sweep high/low Target the opposite side of the range or next structural level Continuation Filtering: Not all sweeps lead to reversals. During strong trends: Sweeps of minor structure in a trending market often precede continuation Use higher timeframe structure to determine if a sweep is counter-trend (likely reversal) or with-trend (likely continuation) Entry Refinement: In ranging markets, trade from swept lows to highs and vice versa, as institutions accumulate at the extremes. Advanced Sweep Analysis: Double Sweeps: When both sides of a range are swept, expect a strong breakout Sweep Rejection Quality: Fast, strong rejections of sweeps are more reliable than slow grinding returns Timeframe Consideration: Daily timeframe sweeps are significantly more important than 15-minute sweeps Volume Profile: Sweeps with low volume followed by high volume reversals confirm manipulation What Makes a High-Quality Sweep Signal: ✅ Penetrates structure by at least 0.5-1x ATR ✅ Strong rejection candle (long wick, decisive close) ✅ Occurs at a higher timeframe structural level ✅ Creates a Change of Character on the following move ✅ Sweeps an obvious level where retail stops cluster 4. Change of Character (CHOCH) - Major Reversal Signals What It Is: A Change of Character represents the most significant shift in market dynamics—when the entire structural bias of the market flips from bullish to bearish or bearish to bullish. CHOCH signals are the crown jewel of SMC trading because they identify the exact moment when institutional positioning fundamentally changes. The Anatomy of a CHOCH: A valid CHOCH requires a specific sequence: Established Trend: A clear directional bias with multiple BOS in one direction Liquidity Engineering: A sweep of structure in the current trend direction (the manipulation phase) Structural Break: Price then breaks structure in the OPPOSITE direction (the revelation phase) This combination shows that institutions have: Completed their accumulation/distribution at favorable prices (via the sweep) Shifted their positioning from bullish to bearish (or vice versa) Begun a new directional campaign Visual Presentation: Bullish CHOCH (Cyan Triangle Up): Appears when bearish structure is broken after a low sweep, signaling the shift to bullish control Bearish CHOCH (Red Triangle Down): Appears when bullish structure is broken after a high sweep, signaling the shift to bearish control Prominent Markers: Larger and more visually distinct than BOS signals, reflecting their importance Why CHOCH Signals Are So Powerful: Trend Reversal Identification: They mark the earliest possible confirmation of a trend change High Win Rate: When combined with proper risk management, CHOCH signals have among the highest success rates in SMC trading Risk-Reward Ratio: Entering at CHOCH gives you the best possible risk-reward since you're entering at the beginning of a new trend Institutional Confirmation: The sequence of sweep + structure break proves institutional repositioning, not just retail sentiment Trading CHOCH Signals: The Perfect CHOCH Setup: Identify the Sweep: Watch for a liquidity sweep of structural lows (for bullish) or highs (for bearish) Wait for the Break: Don't enter on the sweep—wait for structure to break in the opposite direction CHOCH Confirmation: The indicator fires the CHOCH signal—this is your entry trigger Entry Execution: Aggressive: Enter immediately on CHOCH confirmation Conservative: Wait for a pullback to the first Fair Value Gap or broken structure (now turned support/resistance) Stop Placement: Beyond the swept liquidity point Target Selection: Previous swing in the opposite direction, or let it run to the next CHOCH Multiple Timeframe CHOCH Strategy: The most powerful setups occur when CHOCHs align across timeframes: Daily CHOCH: Signals major institutional trend change, target 500+ pips (Forex) or significant point moves 4H CHOCH: Confirms daily direction, provides swing trade opportunities 1H CHOCH: Offers precise entry timing within the higher timeframe trend 15M CHOCH: Used for position scaling and intraday management Example Trade Flow: Daily Chart: Bullish CHOCH appears after weeks of downtrend ↓ 4H Chart: Wait for pullback after the daily CHOCH, then catch the 4H bullish CHOCH ↓ 1H Chart: Enter on the 1H bullish CHOCH that aligns with both higher timeframes ↓ Result: You've entered at the beginning of a major trend with multiple confirmations CHOCH Quality Grading: A-Grade CHOCH (Highest Probability): Occurs at major higher timeframe structure Following a clear liquidity sweep Volume spike on the structural break Multiple timeframe alignment Creates a large Fair Value Gap on the break B-Grade CHOCH (Good Probability): Valid sweep and structure break Single timeframe signal Moderate volume Occurs at minor structure C-Grade CHOCH (Lower Probability): Choppy, ranging market context Weak sweep or unclear structure Counter to higher timeframe trend Low volume confirmation Common Mistakes with CHOCH Trading: ❌ Entering on the sweep instead of waiting for the structure break ❌ Ignoring higher timeframe context ❌ Taking every CHOCH regardless of quality ❌ Not waiting for pullbacks on aggressive trends ❌ Placing stops too tight, getting caught in volatility Advanced CHOCH Concepts: Failed CHOCH: Occasionally, what appears to be a CHOCH will fail (price reverses back into the previous trend). This often indicates: Insufficient institutional conviction for the reversal Fake-out to grab liquidity in the opposite direction Need to wait for a higher timeframe CHOCH for confirmation When a CHOCH fails, it often sets up an even stronger continuation of the original trend. CHOCH vs BOS Decision Matrix: If in doubt about trend direction → wait for CHOCH If confident in trend → trade BOS continuations After a CHOCH → next signals in the new direction are BOS 5. Fair Value Gaps (FVG) - Institutional Retracement Zones What It Is: Fair Value Gaps represent price imbalances where the market moved so quickly that it left behind inefficient pricing. These gaps form when there's no overlap between the current candle's wick and the candle from two bars ago—a void in the price action that creates a "gap" in the order flow. The Institutional Logic: When institutions execute large market orders, they can push price rapidly through levels without allowing normal two-way trading. This creates unfilled orders and imbalanced order books. Institutions often return to these gaps to: Fill additional orders at more favorable prices Allow the market to "breathe" before the next push Create support/resistance at the gap for the next move Restore balance to the order book FVG Formation Criteria: This indicator uses enhanced FVG detection logic: Bullish FVG (Upward Gap): Current candle's low is above the high from 2 candles ago Creates a visible gap where no trading occurred Gap size must exceed 30% of ATR (filtering minor gaps) Typically forms on strong bullish momentum candles Market moved up so fast it left unfilled sell orders Bearish FVG (Downward Gap): Current candle's high is below the low from 2 candles ago Creates a visible gap where no trading occurred Gap size must exceed 30% of ATR Typically forms on strong bearish momentum candles Market moved down so fast it left unfilled buy orders Visual Presentation: Bullish FVG Zones: Semi-transparent cyan boxes extending from gap bottom to top Bearish FVG Zones: Semi-transparent red boxes extending from gap top to bottom Dynamic Management: Gaps automatically removed when filled or expired Clean Display: Only active, unfilled gaps shown to prevent chart clutter FVG Trading Strategies: Strategy 1: FVG Retracement Entries After a CHOCH or strong BOS, wait for price to retrace into the FVG for entry: Identify trend direction via CHOCH or BOS Locate the nearest FVG in the direction of the trend Set limit orders within the FVG zone Stop loss beyond the FVG Target the next structural level or previous swing Strategy 2: FVG Breakout Confirmation When price breaks through an FVG without filling it: Signals extreme institutional urgency Indicates the move is likely to continue strongly The unfilled gap becomes a "no-go zone" for counter-trend entries Strategy 3: Multiple FVG Management When multiple FVGs form in sequence: The first FVG is most likely to be filled If price skips the first FVG, it signals exceptional strength Sequential gaps create a "gap ladder" for scaling into positions FVG Quality Assessment: High-Quality FVGs (Best Trading Zones): Large gap size (1.5x+ ATR) Formed on high volume impulse moves Aligned with higher timeframe structure Created during CHOCH or strong BOS Positioned between current price and key structure Low-Quality FVGs (Use Caution): Small gaps (< 0.5 ATR) Formed during choppy, ranging conditions Multiple overlapping gaps in the same area Counter to higher timeframe trend Very old gaps (50+ bars ago) FVG Lifecycle Management: The indicator intelligently manages FVG zones: Gap Filling: Bullish FVG is "filled" when price touches the bottom of the gap Bearish FVG is "filled" when price touches the top of the gap Filled gaps are automatically removed from the chart Partial fills count as complete fills (institutions got their orders) Gap Expiration: Gaps older than the extension period (default 10 bars) are removed This keeps the chart clean and focuses on relevant levels Adjustable from 5-50 bars based on timeframe and trading style Gap Priority: When multiple gaps exist, closest gap to current price is most relevant Advanced FVG Concepts: Nested FVGs: Sometimes FVGs form within larger FVGs. The smaller, more recent gap typically gets filled first, providing a secondary entry within the larger gap. FVG Clusters: When 3+ FVGs stack in the same zone, this area becomes a major institutional reaccumulation zone—excellent for swing entries. Inverted FVGs: Bullish FVGs in downtrends or bearish FVGs in uptrends can act as resistance/support where rallies/dips fail. FVG + Liquidity Sweep Combination: The ultimate entry setup: Liquidity sweep occurs CHOCH confirms reversal Price retraces into FVG created during the CHOCH move Enter with exceptional risk-reward ratio FVG Statistics & Probabilities: Research on FVG behavior shows: Approximately 70% of FVGs get filled within 20 bars FVGs formed during CHOCH have 80%+ fill rate Larger gaps (2x+ ATR) have lower but higher-quality fill rates Higher timeframe FVGs are more magnetic than lower timeframe Timeframe Considerations: Daily FVGs: Can remain unfilled for weeks Major institutional zones Often mark the absolute best entry prices for swing trades When filled, usually result in strong reactions 4H FVGs: Typically fill within 3-7 days Excellent for swing trading Balance between frequency and reliability 1H FVGs: Usually fill within 1-3 days Good for short-term position trading More frequent signals 15M FVGs: Often fill same day Best used for intraday refinement Should align with higher timeframe gaps 🔧 Customization & Settings Guide Structure Detection Settings Swing Lookback Period (3-50 bars): This is arguably the most important setting as it determines what the indicator considers "structure." Low Values (3-7): Identifies minor swings and frequent structure points More BOS and CHOCH signals Better for scalping and day trading Risk: More false signals in choppy markets Best for: 15M-1H charts, active traders Medium Values (8-15): Balanced approach capturing meaningful swings Default setting works well for most traders Good signal-to-noise ratio Best for: 1H-4H charts, swing traders High Values (16-50): Only major structural points identified Fewer but higher-quality signals Cleaner charts with less noise Better for trending markets Best for: 4H-Daily charts, position traders ATR Period (1-50): Controls how volatility is measured for liquidity sweep detection. Shorter Periods (7-14): More responsive to recent volatility changes Better during high volatility events May overreact to short-term spikes Longer Periods (15-30): Smoother, more stable volatility measurement Better for swing trading Reduces sensitivity to short-term noise Liquidity Sweep Multiplier (0.5-3.0): Determines how far beyond structure price must move to qualify as a sweep. Low Multiplier (0.5-0.9): Catches smaller, more frequent sweeps More signals but lower reliability Good for scalping or high-frequency trading Use in ranging markets Medium Multiplier (1.0-1.5): Balanced sensitivity Default 1.2 works for most situations Good signal quality High Multiplier (1.6-3.0): Only major, obvious sweeps detected Fewer but very high-quality signals Best for trending markets Use when you want only the clearest setups Display Options Toggle Controls: Each component can be individually enabled/disabled: Show Market Structure: Turn off when chart becomes too cluttered Essential for understanding context, generally keep ON Disable only when you know structure from higher timeframe Show Liquidity Zones: Highlights swept areas with boxes Can be disabled if you prefer cleaner charts Keep ON when learning to spot manipulation Show Break of Structure: BOS labels can be disabled if trading only reversals Keep ON for trend following strategies Show Change of Character: Core SMC signal, usually keep ON Only disable if focusing purely on continuation trading Show Fair Value Gaps: OFF by default to prevent overwhelming new users Turn ON once comfortable with basic structure Can generate many zones on lower timeframes FVG Extension Period (5-50 bars): Determines how long unfilled gaps remain displayed. Short Extension (5-10): Keeps charts very clean Only shows very recent gaps Good for day trading May remove gaps before they fill Medium Extension (11-25): Balanced approach Captures most gap fills Good for swing trading Long Extension (26-50): Shows historical gap context Better for position trading Higher timeframe analysis Can make charts busy on lower timeframes Color Scheme Customization Why Colors Matter: Visual clarity is crucial for quick decision-making. The color scheme should: Clearly distinguish bullish vs bearish elements Work well with your chart background (dark/light mode) Be visible but not distracting Match your personal preference for aesthetics Default Colors: Bullish: Cyan ( #00ffff) - visibility and association with "cool" buying Bearish: Red ( #ff0051) - visibility and universal danger/selling association FVG Bullish: 85% transparent cyan - visible but not overpowering FVG Bearish: 85% transparent red - visible but not overpowering Customization Tips: Increase transparency if zones overwhelm price action Use higher contrast colors on light backgrounds Keep bullish/bearish colors visually distinct Test colors across different market conditions Optimization by Market Type Forex (24-hour markets): Structure Lookback: 10-15 ATR Period: 14-21 Sweep Multiplier: 1.0-1.5 Best Timeframes: 15M, 1H, 4H Stocks (Session-based): Structure Lookback: 8-12 ATR Period: 14 Sweep Multiplier: 1.2-1.8 Best Timeframes: 5M, 15M, 1H, Daily Note: Gaps at market open/close aren't FVGs Cryptocurrency (High volatility): Structure Lookback: 12-20 (filter noise) ATR Period: 10-14 (responsive to volatility) Sweep Multiplier: 1.5-2.5 (larger sweeps) Best Timeframes: 15M, 1H, 4H Indices (Moderate volatility): Structure Lookback: 10-15 ATR Period: 14-20 Sweep Multiplier: 1.0-1.5 Best Timeframes: 1H, 4H, Daily 📈 Complete Trading System & Strategies The Complete SMC Trading Process Step 1: Higher Timeframe Analysis (Daily/4H) Begin every trading session by analyzing higher timeframes: Identify the prevailing market structure (bullish or bearish) Mark key swing highs and lows Note any recent CHOCHs that signal trend changes Identify major Fair Value Gaps that could act as targets or entry zones Determine areas of liquidity (obvious highs/lows where stops cluster) Step 2: Trading Timeframe Setup (1H/4H) Move to your primary trading timeframe: Wait for alignment with higher timeframe bias Look for CHOCH signals if expecting reversal Look for BOS signals if expecting continuation Identify liquidity sweeps that create trading opportunities Note nearby FVGs for entry refinement Step 3: Entry Timeframe Execution (15M/1H) Use lower timeframe for precise entry: After higher timeframe signal, wait for lower timeframe confirmation Enter on FVG fills, structure breaks, or CHOCH signals Place stop beyond swept liquidity or broken structure Set targets at next structure level or opposite side of range Step 4: Management Active trade management increases profitability: Move stop to breakeven after price moves 1R (risk unit) Take partial profits at first target (structure level) Let remainder run to major targets Trail stop using FVGs or structure breaks in your direction Exit if a counter-trend CHOCH appears High-Probability Trading Setups Setup 1: The Classic CHOCH Reversal Market Context: Extended trend in one direction Price reaching obvious highs/lows where liquidity pools Setup Requirements: Liquidity sweep of the high/low CHOCH signal fires (Optional) Wait for pullback to FVG Entry: On CHOCH confirmation or FVG fill Stop: Beyond swept liquidity Target: Previous swing in opposite direction Example (Bullish): Market in downtrend for 2 weeks Price sweeps below obvious daily low Bullish CHOCH fires (breaks previous lower high) Enter immediately or wait for pullback to bullish FVG Stop below swept low Target: Previous lower high, then previous high Risk-Reward: Typically 1:3 to 1:5+ Setup 2: BOS Continuation with FVG Entry Market Context: Established trend with recent CHOCH Strong momentum in trend direction Setup Requirements: Recent CHOCH established trend direction BOS signal confirms continuation Wait for pullback into FVG created on the BOS move Entry: Limit order within FVG zone Stop: Beyond FVG (invalid if exceeded) Target: Next structural level Example (Bearish): Bearish CHOCH 2 days ago Price makes BOS breaking new low Large bearish FVG created during the break Price retraces into FVG zone Enter short at FVG fill Stop above FVG Target: Next major low or daily FVG below Risk-Reward: 1:2 to 1:4 Setup 3: Liquidity Sweep Fade Market Context: Ranging market between defined highs/lows Obvious liquidity on both sides of range Setup Requirements: Clear range established (minimum 20-30 bars) Price sweeps one side of range (high or low) Strong rejection back into range Entry: After sweep rejection confirmed Stop: Beyond swept level Target: Opposite side of range Example: Range between 1.0850-1.0920 (EUR/USD) Price sweeps above 1.0920 to 1.0935 Strong bearish rejection candle back below 1.0920 Enter short at 1.0915 Stop at 1.0940 (above sweep high) Target: 1.0850 (range low) Risk-Reward: 1:2.6 Setup 4: Multi-Timeframe CHOCH Alignment Market Context: Major trend change occurring Multiple timeframes showing reversal signals Setup Requirements: Daily timeframe shows CHOCH Wait for 4H CHOCH in same direction Enter on 1H CHOCH that aligns Entry: 1H CHOCH confirmation Stop: Below 4H structure Target: Daily structural level Example (Bullish): Daily bearish trend for months Daily bullish CHOCH appears 4H shows bullish CHOCH next day 1H bullish CHOCH provides entry Enter long on 1H signal Stop: Below 4H swing low Target: Daily previous high Risk-Reward: 1:5 to 1:10+ Position: Larger size due to alignment Setup 5: Failed CHOCH Continuation Market Context: Strong trend temporarily looks like reversing "False" CHOCH creates trap for counter-trend traders Setup Requirements: Apparent CHOCH against main trend Price fails to follow through Original trend resumes with strong BOS Entry: On BOS in original trend direction Stop: Recent swing Target: Extension of original trend Example: Strong daily uptrend Bearish CHOCH appears (potential reversal) Price consolidates but doesn't follow through down Bullish BOS breaks above recent consolidation Enter long on BOS Stop: Below failed CHOCH low Target: New high extension Risk-Reward: 1:3 to 1:6 Note: Failed reversals often lead to explosive continuations Risk Management Framework Position Sizing: Never risk more than 1-2% of account per trade, even on A+ setups. Risk Calculation: Position Size = (Account Size × Risk %) / (Entry - Stop Loss in pips/points) Example: Account: $10,000 Risk: 1% = $100 Entry: 1.0900 Stop: 1.0870 (30 pips) Position Size: $100 / 30 pips = $3.33 per pip Lot Size (Forex): 0.33 lots Stop Loss Placement: For CHOCH Reversals: Place stop 5-10 pips beyond swept liquidity Gives room for volatility while protecting capital If swept liquidity is violated, setup is invalidated For BOS Continuations: Place stop beyond the FVG or structure that provided entry Typically tighter stops (closer to entry) Can trail stop to breakeven quickly For Range Trading: Stop beyond the swept level Generally tight stops work well in ranges Exit quickly if range boundaries break Take Profit Strategy: Scaling Out Method (Recommended): First Target (50% of position): First structural level (1:1 to 1:2) Second Target (30% of position): Major structure (1:3 to 1:5) Trail Stop (20% of position): Let run to full extension Full Exit Method: Hold entire position to predetermined target Requires more discipline Higher reward but also higher risk of giveback Trade Management Rules: Breakeven Rule: Move stop to breakeven after 1R profit Partial Profit Rule: Take partials at structure levels Trailing Rule: Trail stop
Pine Script®指标
由xqweasdzxcv提供
2
TQ Gold Trend (Macro Regime)This indicator answers one question only: Is gold in a monetary uptrend right now? It does not: Forecast prices Time entries Use momentum or volatility It simply classifies the macro trend regime of gold. 3️⃣ Logic (Simple, Explicit) Timeframe: Weekly Indicator: 30-week Simple Moving Average Interpretation: Bullish: Price above a rising 30W SMA Bearish: Price below a falling 30W SMA Neutral: Everything else (transition / range) This is classic macro trend / stage analysis, adapted for gold as a monetary asset. 4️⃣ How to Use It (User Instructions) How to read the chart >If Gold is Bull, precious metals matter. >If Gold is Bear, ignore silver and miners. >If Gold is Neutral, wait — no edge. Best use Check once per week Use as the first filter before looking at: Gold/DXY Gold/SPY Silver/Gold Recommended timeframe Weekly only (designed for macro regimes, not trading)
Pine Script®指标
由tradingqueen18提供
TQ Silver / Gold (Weekly Macro)This indicator tracks the Silver / Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (a more defensive precious-metals posture). Within the TQ Weekly Macro Framework, this indicator is designed to be used after confirming the broader macro environment using TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro). Why Silver / Gold matters >When Silver / Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite within precious metals. >When Silver / Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions. >This ratio is not a timing tool — it is a regime and leadership indicator within the metals complex. How it works (regime rules) Using weekly data: Compute Silver ÷ Gold Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (silver leading) Bear: Ratio below a falling 30-week SMA (gold leading) Neutral: Transition / range A clear label marks the current regime. How to use it in your system Use after confirming: TQ Gold Trend (Weekly Macro) TQ Gold / DXY (Weekly Macro) TQ Gold / SPY (Weekly Macro) > If Silver / Gold is Bull, metals participation is broadening and silver often has more upside torque. > If Silver / Gold is Bear, gold leadership is defensive and silver exposure may underperform. > Neutral often signals rotation or consolidation. Best timeframe Designed for weekly macro regime analysis.
Pine Script®指标
由tradingqueen18提供
TQ Gold / SPY (Weekly Macro)What this indicator does This indicator tracks the Gold/SPY ratio on a weekly basis to show whether gold is outperforming U.S. equities (risk assets). It helps you determine if the market is favoring hard money / defensive leadership vs risk-on equity leadership. Within the TQ Weekly Macro Framework, this indicator is intended to be used after confirming gold’s primary trend using TQ Gold Trend (Weekly Macro) and its monetary backdrop using TQ Gold / DXY (Weekly Macro). Why Gold/SPY matters Gold can rise during equity booms and during equity stress. The Gold/SPY ratio tells you which asset class is winning in relative terms. Rising Gold/SPY often signals defensive leadership, shifting macro preferences, or risk repricing, especially when aligned with TQ Gold Trend (Weekly Macro). How it works (regime rules) Using weekly data: Compute Gold ÷ SPY Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (gold leading equities) Bear: Ratio below a falling 30-week SMA (equities leading gold) Neutral: Transition / range A clear label marks the current regime. How to use it in your system Use after TQ Gold Trend (Weekly Macro) and TQ Gold / DXY (Weekly Macro). > If Gold/SPY is Bull, gold is leading risk assets — metals tend to behave stronger and more “macro-relevant.” > If Gold/SPY is Bear, equities are winning — gold moves may be less dominant. > Neutral usually means rotation or consolidation. Best timeframe Designed for weekly macro regime analysis, not short-term trading.
Pine Script®指标
由tradingqueen18提供
TQ Gold / DXY (Weekly Macro)What this indicator does This indicator tracks the relative performance of gold versus the U.S. dollar using the Gold/DXY ratio. It helps determine whether gold’s strength is real (monetary) or merely nominal. Why Gold/DXY matters Gold rising with a rising dollar is not a strong signal. Gold rising against a weakening dollar signals monetary outperformance. This ratio filters out dollar noise and focuses on true purchasing-power strength. How it works The indicator calculates Gold ÷ DXY using weekly data. A 30-week SMA is applied to the ratio. Regimes are defined as: Bull: Ratio above a rising 30-week SMA (gold beating the dollar) Bear: Ratio below a falling 30-week SMA Neutral: Transition or range-bound periods A clear on-chart label shows the current regime. How to use it Use after confirming Gold Trend is Bull. When Gold/DXY is Bull, gold has a true monetary tailwind. When Gold/DXY is Bear, gold rallies are often fragile or dollar-driven. Neutral readings signal consolidation or regime change. Best timeframe Designed for weekly charts and macro analysis. Not intended for short-term trading signals.
Pine Script®指标
由tradingqueen18提供
Weekly macro ratio indicator tracking Silver/Gold with a 30-weekWhat this indicator does This indicator tracks the Silver/Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (more defensive precious-metals posture). Why Silver/Gold matters When Silver/Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite. When Silver/Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions. This ratio is not a timing tool — it’s a regime/leadership indicator. How it works (regime rules) Using weekly data: Compute Silver ÷ Gold Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (silver leading) Bear: Ratio below a falling 30-week SMA (gold leading) Neutral: Transition/range A clear label marks the current regime. How to use it in your system - This indicator is designed to be used as part of the broader TQ Weekly Macro Framework, alongside other TQ indicators such as TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro). Each indicator can also be used independently. Use after confirming: Pane 1: Gold Trend Pane 2: Gold/DXY Pane 3: Gold/SPY If Silver/Gold is Bull, metals participation is broadening and silver often has more upside torque. If Silver/Gold is Bear, gold leadership is defensive; silver exposure may underperform. Neutral often signals rotation or consolidation. Best timeframe Designed for weekly macro regime analysis.
Pine Script®指标
由tradingqueen18提供
Weekly macro ratio indicator comparing gold vs SPY 30 SMAWhat this indicator does This indicator tracks the Gold/SPY ratio on a weekly basis to show whether gold is outperforming U.S. equities (risk assets). It helps you determine if the market is favoring hard money / defensive leadership vs risk-on equity leadership. Why Gold/SPY matters Gold can rise during equity booms and during equity stress. The Gold/SPY ratio tells you which asset class is winning in relative terms. Rising Gold/SPY often signals defensive leadership, shifting macro preferences, or risk repricing. How it works (regime rules) Using weekly data: Compute Gold ÷ SPY Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (gold leading equities) Bear: Ratio below a falling 30-week SMA (equities leading gold) Neutral: Transition/range A clear label marks the current regime. How to use it in your system Use after Pane 1 (Gold Trend) and Pane 2 (Gold/DXY). If Gold/SPY is Bull, gold is leading risk assets — metals tend to behave stronger and more “macro-relevant.” If Gold/SPY is Bear, equities are winning — gold moves may be less dominant. Neutral usually means rotation or consolidation. Best timeframe Designed for weekly macro regime analysis, not short-term trading.
Pine Script®指标
由tradingqueen18提供
Gold And Silver Macro Dashboard A weekly, macro-focused dashboard for precious metals that tracks gold’s trend plus three key relative-strength ratios: Gold/DXY, Gold/SPY, and Silver/Gold. Uses a 30-week SMA regime filter to label each series as Bull / Neutral / Bear and provides a quick “full picture” read. What this indicator does This dashboard helps you read the big picture for precious metals using a simple regime framework (weekly + 30-week SMA). It combines four signals into one view: Gold (XAUUSD) — establishes the core precious-metals trend Gold / DXY — shows whether gold is outperforming the U.S. dollar Gold / SPY — shows whether gold is outperforming U.S. equities (risk assets) Silver / Gold — shows whether risk appetite is returning inside metals (silver leadership) How it works (simple rules) Each item is classified using the same weekly regime logic: Bull: price/ratio is above a rising 30-week SMA Bear: price/ratio is below a falling 30-week SMA Neutral: everything else (transition/range) How to use it (30-second weekly scan) Start with Gold: if Gold is Bull, metals have a tailwind. Confirm with Gold/DXY: Bull means gold is beating fiat. Confirm with Gold/SPY: Bull means gold is beating risk assets. Use Silver/Gold to size aggressiveness: Bull implies reflation/confidence and often stronger silver participation. Best timeframe Designed for Weekly charts. The script can force weekly calculations, so it remains consistent even if you view other timeframes. Customization Change tickers if your preferred feed differs (OANDA spot vs futures vs ETFs). Toggle the plotted lines on/off and keep only the dashboard table if you want a cleaner screen. Important note This is a macro regime tool for orientation and context. It is not meant to time entries/exits on lower timeframes. Default symbols are: Gold: OANDA:XAUUSD Silver: OANDA:XAGUSD Dollar Index: TVC:DXY SPY: AMEX:SPY Core Rule: Gold tells you WHEN metals matter. Ratios tell you WHY and HOW aggressive to be. Bull across all four = strongest PM regime. Mixed readings = transition. Gold Bull + Silver/Gold Bear = defensive gold-led phase.
Pine Script®指标
由tradingqueen18提供
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question: Are higher and lower timeframes pointing in the same direction — and how strong is that alignment? Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation. This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike. How It Works For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M): A 4-period moving average is calculated (user-selectable MA type). The indicator determines direction by comparing the current MA value to the prior bar: Rising MA → Bullish Falling MA → Bearish Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired. The combined result is converted into: Bull % Bear % Letter Grade (A–F) Plain-English interpretation All results are displayed in a compact, customizable on-chart dashboard. Dashboard Metrics Explained Aligned TFs Shows how many timeframes are bullish vs bearish. Bull % / Bear % Weighted directional confidence across all timeframes. Grade (A–F) A structured summary of alignment strength: A → Strong bullish alignment B → Constructive bullish bias C → Transitional / mixed conditions D → Weak structure F → Bearish or poorly aligned Grade Condition & Interpretation Explicit thresholds and a clear contextual reading of current market structure. How to Use This Indicator This is not an entry signal by itself. It is best used as a context and confirmation tool. Common use cases include: ✅ Trend Filtering Only take long trades when Bull % is elevated (e.g., Grade A or B). ✅ Multi-Timeframe Confirmation Confirm that lower-timeframe setups agree with higher-timeframe structure. ✅ Bias Control Reduce over-trading during mixed or transitional conditions (Grade C/D). ✅ Risk Management Context Scale position size or aggressiveness based on alignment strength. Ideal Trading Conditions This indicator performs best in: Trending or structurally developing markets Swing trading and position trading Higher-timeframe-aware intraday strategies Markets where directional follow-through matters more than noise During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle — providing a visual cue to reduce directional exposure. Customization & Controls Select MA type (SMA, EMA, RMA, WMA) Adjust timeframe importance via custom weights Fully customizable table colors and position Toggle dashboard visibility on/off This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences. Final Notes The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework. Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
Pine Script®指标
由Dinjin提供
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades. The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow. The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing. The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only. Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance. The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious. For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition. Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO. The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
Pine Script®指标
由ChaosTrader63提供
5
Uptrick: Price Memory TrendIntroduction Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise. Overview This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics. Originality The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior. Inputs Core Engine Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive. Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily. Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands. Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity. Customization Color Palette: Selects one of six predefined color schemes for bull and bear visuals. Show Bands: Enables or disables the display of deviation bands. Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn. Bands Trail Intense Show Info Table: Toggles display of the real-time trend and volatility status panel. Table Position: Determines which corner of the chart the info panel appears in. Text Size: Adjusts font size used within the info table. Features Trend Detection Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime. Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime. Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction. Candle Coloring Candles are dynamically recolored based on current trend direction: bull, bear, or neutral. Signal Labels Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points. Deviation Bands Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base. Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected. Bands visually indicate overextension and help frame price context relative to memory. Alerts Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications. Info Table The optional info table displays: Current trend direction Band state (calm, hot, or cool) Price stretch from base Trend age in bars Confidence level based on deviation Memory slope and acceleration Band width and compression state Reversion risk based on stretch level Info Table: Trade Example: Logic Price Memory A recursive formula updates a memory variable based on the current price. The memory adjusts only when the price deviates meaningfully from its previous value. The formula uses a combination of delta-weighting and exponential decay: > memory := previous_memory + delta × memory_strength > memory := memory × memory_decay + price × (1 - memory_decay) This produces a smooth, adaptive base that responds gradually to directional price moves. Deviation and Bands Absolute deviation between price and the memory base is calculated and smoothed using an EMA. The upper and lower bands are then calculated as: > Upper Band = memory base + (smoothed deviation × band multiplier) > Lower Band = memory base - (smoothed deviation × band multiplier) ATR-based extensions can optionally be drawn around these bands for added visual structure. Trend Logic Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands. The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs. This prevents multiple signals within the same trend direction (non-pyramiding behavior). Stretch and Band Analysis Stretch is measured as the deviation of price from memory, normalized by smoothed deviation. Band width is tracked over time and used to detect compression or expansion. Band position is calculated to identify where price sits between the upper and lower bands. Info Table Metrics Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change. Confidence Level: Based on stretch intensity, indicating trend strength. Reversion Risk: Inferred from how extended price is beyond the band. Compression: Evaluated by comparing current band width to its recent average. Summary Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles. Disclaimer This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
Pine Script®指标
由Uptrick提供
15
SMI Trigger SystemSMI TRIGGER SYSTEM - DESCRIPTION Overview SMI Trigger System is a momentum oscillator that identifies trend changes and reversals using the Smoothed Stochastic Momentum Index (SMI). Features a color-changing line (green = bullish, red = bearish), cloud shading for momentum zones, and triangle markers that appear exactly when momentum flips. What Makes It Unique: Real-time color-changing momentum line Cloud shading split at zero line Triangle triggers at exact momentum flip points Overbought/oversold limit lines Built-in alerts for all key signals Fully customizable appearance Works on all timeframes How to Use THE DISPLAY Green line/cloud: Bullish momentum Red line/cloud: Bearish momentum Above zero: Bulls in control Below zero: Bears in control Upper limit (+40): Overbought Lower limit (-40): Oversold SIGNALS 🟢 Green Triangle (▲) - Momentum flipping bullish. Buy signal, most powerful below zero. 🔴 Red Triangle (▼) - Momentum flipping bearish. Sell signal, most powerful above zero. TRADING STRATEGIES 1. Trend Following In uptrends: Only take green triangles, ignore red In downtrends: Only take red triangles, ignore green Use higher timeframe for trend, lower for entries Example: Daily uptrend → trade green triangles on 1H chart 2. Limit Reversals Red triangle at upper limit (+40) = strong reversal signal, go short Green triangle at lower limit (-40) = strong reversal signal, go long Wait for triangle AND price confirmation Most reliable on 4H/Daily timeframes 3. Zero Line Trading SMI crosses above zero → bullish bias, take green triangles SMI crosses below zero → bearish bias, take red triangles Zero acts as momentum baseline 4. Divergence Setups Price higher high + SMI lower high = bearish divergence → take next red triangle Price lower low + SMI higher low = bullish divergence → take next green triangle Most powerful at overbought/oversold limits ENTRIES & EXITS Enter: On triangle appearance Stop: Beyond recent opposite-color triangle Target: Limit levels or opposite triangle Add: Additional same-color triangles in strong trends TIMEFRAME GUIDE Scalping (1-5m): Lower %K to 3-4, take all trend-aligned triangles Day trading (15-60m): Default settings (5/3), focus on limit reversals Swing trading (4H-Daily): Higher %K to 7-10, trade only extreme readings ADJUSTING SENSITIVITY SMI %K Length (default: 5): Lower (3-4) = More signals, faster - good for scalping Higher (7-10) = Fewer signals, stronger - good for swing trading SMI %D Length (default: 3): Lower (1-2) = More responsive Higher (5-7) = Smoother ALERTS Built-in alerts for: Triangle appears (momentum flips) SMI crosses zero (trend change) SMI crosses limits (overbought/oversold) Enable in settings, configure in TradingView alert dialog. CUSTOMIZATION Toggle cloud/triangles on/off Adjust triangle size and positioning Customize all colors Triangle label cap prevents clutter Key Settings SMI %K Length (default: 5): Controls sensitivity and signal frequency SMI %D Length (default: 3): Controls smoothing SMI Limit (default: 40): Overbought/oversold threshold Show SMI Cloud (default: ON): Cloud shading Show SMI Flip Triangles (default: ON): Trigger markers Triangle Size/Offset: Appearance customization Enable Alerts (default: ON): Alert notifications Key Features ✅ Color-changing momentum line ✅ Cloud shading for momentum zones ✅ Triangle triggers at exact flips ✅ Overbought/oversold limits ✅ Built-in alert system ✅ Fully customizable ✅ All timeframes ✅ Adjustable sensitivity NPR21 Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Pine Script®指标
由NPR21提供
3
Ocean Master [JOAT]Ocean Master QE - Advanced Oceanic Market Analysis with Quantum Flow Dynamics Overview Ocean Master QE is an open-source overlay indicator that combines multiple analytical techniques into a unified market analysis framework. It uses ATR-based dynamic channels, volume-weighted order flow analysis, multi-timeframe correlation (quantum entanglement concept), and harmonic oscillator calculations to provide traders with a comprehensive view of market conditions. What This Indicator Does The indicator calculates and displays several key components: Dynamic Price Channels - ATR-adjusted upper, middle, and lower channels that adapt to current volatility conditions Order Flow Analysis - Separates buying and selling volume pressure to calculate a directional delta Smart Money Index - Volume-weighted order flow metric that highlights potential institutional activity Harmonic Oscillator - Weighted combination of 10 Fibonacci-period EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233, 377) to identify trend direction Multi-Timeframe Correlation - Measures price correlation across 1H, 4H, and Daily timeframes Wave Function Analysis - Momentum-based state detection that identifies when price action becomes decisive How It Works The core channel calculation uses ATR with a configurable quantum sensitivity factor: float atr = ta.atr(i_atrLength) float quantumFactor = 1.0 + (i_quantumSensitivity * 0.1) float quantumATR = atr * quantumFactor upperChannel := ta.highest(high, i_length) - (quantumATR * 0.5) lowerChannel := ta.lowest(low, i_length) + (quantumATR * 0.5) midChannel := (upperChannel + lowerChannel) * 0.5 Order flow is calculated by separating volume into buy and sell components based on candle direction: The harmonic oscillator weights shorter EMAs more heavily using inverse weighting (1/1, 1/2, 1/3... 1/10), creating a responsive yet smooth trend indicator. Signal Generation Confluence signals require multiple conditions to align: Bullish: Harmonic oscillator crosses above zero + positive Smart Money Index + positive Order Flow Delta Bearish: Harmonic oscillator crosses below zero + negative Smart Money Index + negative Order Flow Delta Dashboard Panel (Top-Right) Bias - Current market direction based on price vs mid-channel Entanglement - Multi-timeframe correlation score (0-100%) Wave State - COLLAPSED (decisive) or SUPERPOSITION (uncertain) Volume - Current volume relative to 20-period average Volatility - ATR as percentage of price Smart Money - Volume-weighted order flow reading Visual Elements Ocean Depth Layers - Gradient fills between channel levels representing different price zones Channel Lines - Upper (surface), middle, and lower (seabed) dynamic levels Divergence Markers - Triangle shapes when harmonic oscillator crosses zero Confluence Labels - BULL/BEAR labels when multiple factors align Suggested Use Cases Identify trend direction using the harmonic oscillator and channel position Monitor order flow for potential institutional activity Use multi-timeframe correlation to confirm trade direction across timeframes Watch for confluence signals where multiple factors align Input Parameters Length (default: 14) - Base period for channel and indicator calculations ATR Length (default: 14) - Period for ATR calculation Quantum Depth (default: 3) - Complexity factor for calculations Quantum Sensitivity (default: 1.5) - Channel width multiplier Timeframe Recommendations Works on all timeframes. Higher timeframes (4H, Daily) provide smoother signals; lower timeframes require faster reaction times and may produce more noise. Limitations Multi-timeframe requests add processing overhead Order flow estimation is based on candle direction, not actual order book data Correlation calculations require sufficient historical data Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading. - Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Rachev Regime AnalyzerRachev Regime Analyzer ~ GForge What It Does Measures the ratio of extreme gains to extreme losses to identify whether markets favor bulls or bears. When your best moves are bigger than your worst moves, conditions are bullish. When the opposite is true, conditions are bearish. Simple Interpretation: Ratio > 1.2 → Bullish regime (tail gains exceed tail losses) Ratio < 0.8 → Bearish regime (tail losses exceed tail gains) Between → Neutral/transitional Key Features Two Modes: Single Asset: Analyze current chart Multi-Asset: Aggregate regime across 5 assets with custom weights (great for gauging overall crypto/market conditions) Customizable: Lookback period (20-200 bars) Tail percentile (what counts as "extreme") Bullish/bearish thresholds 6 color schemes Optional MA smoothing Visual Signals: Buy/sell markers at threshold crosses Background regime coloring Info table with current values and confidence score Configurable alerts How to Use Choose lookback period based on your timeframe (40-60 bars is a good start) Watch for threshold crosses - these mark regime changes Check confidence score - higher = more reliable Use multi-asset mode to see if entire market is shifting (not just one coin) Best combined with: Trend indicators, support/resistance, volume analysis Parameters Lookback: More bars = smoother, less responsive Alpha (0.10): Defines extreme events - lower = more extreme Thresholds: Adjust based on asset volatility Return Type: Log returns recommended for most assets What Makes It Useful Unlike simple volatility measures, this shows asymmetry - whether extreme moves favor upside or downside. A ratio of 1.5 means your extreme gains are 50% larger than extreme losses - that's actionable information about risk-reward dynamics. Multi-asset aggregation is particularly powerful for crypto traders wanting to gauge if BTC, ETH, SOL, etc. are all showing similar regime characteristics. Disclaimer Educational tool only. Not financial advice. Use proper risk management. No indicator works in isolation - always consider broader market context. Developed by GForge Comments and feedback welcome! 👍
Pine Script®指标
由GForge提供
Candle Pattern Library [1CG]Candle Pattern Library A comprehensive and easy-to-use Pine Script™ library for detecting single, two, and three-candle patterns. This library provides detailed pattern analysis including size classification, direction validation, and specific pattern identification. Quick Start 1. Import the Library import OneCleverGuy/CandlePatternLibrary/1 as CPL 2. Analyze Candles Use the main analysis functions to detect patterns. You can analyze the current forming candle or confirmed historical candles. // 1. Analyze candles (Current , Previous , and the one before ) // Note: We use full variable names for clarity. CandleData candleNewest = CPL.analyzeCandle(open, high, low, close, 250, 50, 10, 50, 85) CandleData candleMiddle = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85) CandleData candleOldest = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85) // 2. Analyze multi-candle patterns // Pass candles in chronological order: Oldest -> Newest var twoCandleData = CPL.analyzeTwoCandlePattern(candleMiddle, candleNewest, 10, 85) var threeCandleData = CPL.analyzeThreeCandlePattern(candleOldest, candleMiddle, candleNewest) Enums Reference These are the Enum Types exported by the library. When checking results, use the pattern Alias.EnumType.Value (e.g., CPL.CandlePattern.Hammer). CandlePattern   Enum Type for single-candle formations.   Usage: CPL.CandlePattern.   Values:      Unknown : No specific pattern detected.      RegularBullish : A standard bullish candle.      RegularBearish : A standard bearish candle.      BullishMarubozu : Bullish candle with little to no wicks.      BearishMarubozu : Bearish candle with little to no wicks.      Hammer : Small body at the top of the range (bullish reversal).      ShootingStar : Small body at the bottom of the range (bearish reversal).      SpinningTop : Small body centered in the range.      Doji : Open and close are effectively equal.      LongLeggedDoji : Doji with long upper and lower wicks.      CrossDoji : Doji with the body in the upper section.      DragonflyDoji : Doji where open/close are at the high.      InvertedCrossDoji : Doji with the body in the lower section.      GravestoneDoji : Doji where open/close are at the low.      FourPriceDoji : Open, High, Low, and Close are all equal. TwoCandlePattern   Enum Type for two-candle formations.   Usage: CPL.TwoCandlePattern.   Values:      None : No two-candle pattern detected.      BullishEngulfingWeak : Bullish candle engulfs the previous body (close does not engulf range).      BullishEngulfingStrong : Bullish candle completely engulfs the previous body close outside range.      BearishEngulfingWeak : Bearish candle engulfs the previous body.      BearishEngulfingStrong : Bearish candle completely engulfs the previous body.      InsideBar : The second candle is completely contained within the first.      TweezerTop : Two candles with matching highs (bearish reversal).      TweezerBottom : Two candles with matching lows (bullish reversal).      BullishRailRoad : Two opposite Marubozus (Down -> Up).      BearishRailRoad : Two opposite Marubozus (Up -> Down). ThreeCandlePattern   Enum Type for three-candle formations.   Usage: CPL.ThreeCandlePattern.   Values:      None : No three-candle pattern detected.      ThreeWhiteSoldiers : Three consecutive bullish candles.      ThreeBlackCrows : Three consecutive bearish candles.      ThreeWhiteSoldiersWithBullishFVG : Three White Soldiers containing a Bullish FVG.      ThreeWhiteSoldiersWithBearishFVG : Three White Soldiers containing a Bearish FVG.      ThreeBlackCrowsWithBullishFVG : Three Black Crows containing a Bullish FVG.      ThreeBlackCrowsWithBearishFVG : Three Black Crows containing a Bearish FVG.      MorningStar : Bearish -> Small/Doji -> Bullish (Bullish Reversal).      EveningStar : Bullish -> Small/Doji -> Bearish (Bearish Reversal).      BullishAbandonedBaby : Morning Star with gaps between all candles.      BearishAbandonedBaby : Evening Star with gaps between all candles.      EngulfingSandwich : Bearish -> Bullish (Engulfing) -> Bearish (Inside).      BullishFairValueGap : A gap between Candle 1 High and Candle 3 Low.      BearishFairValueGap : A gap between Candle 1 Low and Candle 3 High. CandleSize   Enum Type for candle size classification.   Usage: CPL.CandleSize.   Values:      Short      Normal      Long CandleDirection   Enum Type for candle direction classification.   Usage: CPL.CandleDirection.   Values:      Bearish      Neutral      Bullish Function Reference Analysis Functions analyzeCandle(_open, _high, _low, _close, _avgSize, _sizeThresholdPct, _equivTolerance, _bodyTolerance, _positionThreshold)   analyzeCandle - Analyzes a single candle's OHLC data to determine its size, direction, and single-candle pattern.   Parameters:      _open (float) : (float) - Candle open price.      _high (float) : (float) - Candle high price.      _low (float) : (float) - Candle low price.      _close (float) : (float) - Candle close price.      _avgSize (float) : (float) - Baseline size (wick range) to compare against.      _sizeThresholdPct (float) : (float) - % difference from average to be considered Long/Short (e.g., 50.0).      _equivTolerance (float) : (float) - Absolute price diff for Close to equal Open (Doji checks).      _bodyTolerance (float) : (float) - Absolute price diff for "Small Body" checks.      _positionThreshold (int) : (int) - Int (0-100) determining valid wick ratios for Hammers/Shooting Stars (e.g., 85).   Returns: (CandleData) - CandleData object containing CandlePattern, CandleSize, CandleDirection. analyzeTwoCandlePattern(_candle1, _candle2, _equivTolerance, _positionThreshold)   analyzeTwoCandlePattern - Analyzes two consecutive candles to find pairs like Engulfing, Tweezers, or Inside Bars.   Parameters:      _candle1 (CandleData) : (CandleData) - The first (older) candle data (previous).      _candle2 (CandleData) : (CandleData) - The second (newer) candle data (current).      _equivTolerance (float) : (float) - Price tolerance for matching highs/lows (Tweezers).      _positionThreshold (int) : (int) - Threshold for wick validations.   Returns: (TwoCandleData) - TwoCandleData object containing TwoCandlePattern. analyzeThreeCandlePattern(_candle1, _candle2, _candle3)   analyzeThreeCandlePattern - Analyzes three consecutive candles to find complex patterns like Morning Stars, Abandoned Babies, or Three White Soldiers.   Parameters:      _candle1 (CandleData) : (CandleData) - The first (oldest) candle data.      _candle2 (CandleData) : (CandleData) - The second (middle) candle data.      _candle3 (CandleData) : (CandleData) - The third (newest) candle data.   Returns: (ThreeCandleData) - ThreeCandleData object containing ThreeCandlePattern. Naming Utilities getPatternName(_pattern)   getPatternName - Returns the string name of a candle pattern.   Parameters:      _pattern (CandlePattern) : (CandlePattern) - The candle pattern enum value.   Returns: (string) - Human-readable pattern name (e.g., "Hammer"). getTwoCandlePatternName(_pattern)   getTwoCandlePatternName - Returns the string name of a two-candle pattern.   Parameters:      _pattern (TwoCandlePattern) : (TwoCandlePattern) - The two-candle pattern enum value.   Returns: (string) - Human-readable pattern name (e.g., "Bullish Engulfing"). getThreeCandlePatternName(_pattern)   getThreeCandlePatternName - Returns the string name of a three-candle pattern.   Parameters:      _pattern (ThreeCandlePattern) : (ThreeCandlePattern) - The three-candle pattern enum value.   Returns: (string) - Human-readable pattern name (e.g., "Morning Star"). getSizeName(_size)   getSizeName - Returns the string name of a candle size.   Parameters:      _size (CandleSize) : (CandleSize) - The candle size enum value.   Returns: (string) - Human-readable size name ("Short", "Normal", or "Long"). getDirectionName(_direction)   getDirectionName - Returns the string name of a candle direction.   Parameters:      _direction (CandleDirection) : (CandleDirection) - The candle direction enum value.   Returns: (string) - Human-readable direction name ("Bullish", "Bearish", or "Neutral").
Pine Script®库
由OneCleverGuy提供
Rainbow MA Cloud█ OVERVIEW Rainbow MA Cloud displays 8 Moving Averages as a gradient-colored cloud to visualize trend direction and strength. The "rainbow" effect shows momentum through ribbon width, while perfect MA alignment signals strong trending conditions. █ CONCEPTS The indicator uses 8 MAs with Fibonacci-based default lengths (8, 13, 21, 34, 55, 89, 144, 233) to create a layered view of price momentum across multiple timeframes. Perfect Alignment Detection: • Bullish Alignment — All 8 MAs in ascending order (MA1 > MA2 > ... > MA8) Indicates strong uptrend with momentum across all timeframes • Bearish Alignment — All 8 MAs in descending order (MA1 < MA2 < ... < MA8) Indicates strong downtrend with aligned selling pressure • Mixed — MAs are not in sequential order, suggesting consolidation or transition Ribbon Width: • Widening ribbon = Trend acceleration, increasing momentum • Narrowing ribbon = Trend weakening, potential reversal or consolidation █ FEATURES 1 — MA Configuration Choose from EMA, SMA, WMA, VWMA, or HMA calculation methods. All 8 MA lengths are fully customizable. 2 — Color Themes Five built-in themes: Rainbow, Warm, Cool, Neon, Mono. Creates visually distinct gradient from fast to slow MAs. 3 — Alignment Background Green background during bullish alignment. Red background during bearish alignment. Helps quickly identify strong trending periods. 4 — Trend Signals Labels appear when perfect alignment forms. "BULL ALIGN" for bullish, "BEAR ALIGN" for bearish. 5 — Information Panel Real-time display of alignment status, trend strength percentage, ribbon width, price position relative to cloud, and MA values. █ HOW TO USE Entry Signals: • Look for alignment signals (BULL/BEAR ALIGN) as trend confirmation • Enter long when bullish alignment forms with price above cloud • Enter short when bearish alignment forms with price below cloud Trend Following: • Stay in position while alignment background color persists • Widening ribbon confirms trend continuation • Exit or reduce when alignment breaks (background disappears) Support/Resistance: • Cloud edges act as dynamic support (bullish) or resistance (bearish) • Price entering cloud suggests consolidation or potential reversal █ LIMITATIONS • Alignment signals are lagging by nature (based on MA crossovers) • Works best on trending markets; generates mixed signals during ranging periods • Ribbon width measurement uses outer MAs only (MA1 vs MA8) █ COMPANION INDICATOR Use "Rainbow MA Width" indicator for detailed Z-Score analysis of ribbon expansion/contraction patterns.
Pine Script®指标
由viva_lee提供
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe) Local timeframe (your chart TF): Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable). Each cloud is: One short EMA and one long EMA. A filled band between them. Color logic: Cloud is bullish when short EMA > long EMA (green/blue-ish tone). Bearish when short EMA < long EMA (red/orange/pink tone). You can choose: EMA vs SMA, Whether to show the lines, Per-cloud toggles. MTF Clouds: Two higher-timeframe EMA clouds: Cloud 1: 50/55 Cloud 2: 20/21 Computed on a higher TF (default D, but configurable). Show as thin lines + transparent bands. Used for: Visual higher-TF trend, Optional signal filter (MTF must agree for trades). 2. Saty Pivot Ribbon (time-warped EMAs) This is basically your Saty Pivot Ribbon integrated: Uses a “Time Warp” setting to overlay EMAs from another timeframe. EMAs: Fast, Pivot, Slow (defaults 8 / 21 / 34). Clouds: Fast cloud between fast & pivot EMAs. Slow cloud between pivot & slow EMAs. Bullish/bearish colors are distinct from Ripster colors. Optional highlights: Can highlight fast/pivot/slow lines separately. Conviction EMAs: 13 and 48 EMAs (configurable). When fast conviction EMA crosses over/under slow: You get triangle arrows (bullish/bearish conviction). Bias candles: If enabled, candles are recolored based on: Price vs Bias EMA, Candle up/down/doji, So you see bullish/bearish “bias” directly in candle colors. 3. DTR vs ATR panel (range vs average) In a small table panel (bottom-center by default): Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable). Measures current range (high–low) on that TF. Displays: DTR: X vs ATR: Y Z% (+/-Δ% vs prev) Where: Z% = current range / ATR * 100. Δ% = change vs previous bar’s Z%. Background color: Greenish for low move (<≈70%), Red for high move (≥≈90%), Yellow in between, Slightly dimmed when price is below bias EMA. This tells you: “Is today an average, quiet, or explosive day compared to normal?” 4. SMA Divergence panel Separate histogram & line panel: Fast and slow SMAs (default 14 & 30). Computes price divergence vs SMA in %: % above/below slow SMA, % above/below fast SMA. Shows: Slow SMA divergence as a semi-transparent column, Fast SMA divergence as a solid column on top, EMA of the slow divergence (trend line) colored: Blue when rising, Orange/red when falling. Static upper/lower bands with fill, plus optional zero line. This gives you a feel for how stretched price is vs its anchors. 5. RVOL table (relative volume) Small 3×2 table (bottom-right by default): Inputs: Average length (default 50 bars), Optionally show previous candle RVOL. Calculates: RVOL now = volume / avg(volume N bars) * 100, RVOL prev, RVOL momentum (now – prev) for data window only. Table columns: Candle Vol, RVOL (Now), RVOL (Prev). Colors: 200% → “high RVOL” color, 100–200% → “medium RVOL” color, <100% → “low RVOL” color, Slightly dimmer if price is below bias EMA. This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold). 6. Trend Dashboard (Price + 34/50 + 5/12) Top-right trend box with 3 rows: Price Action row: Uses either Bias EMA or custom EMA on close to say: Bullish (close > trend EMA), Bearish (close < trend EMA), Flat. Ripster 34/50 Cloud row: Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50. Ripster 5/12 Cloud row: Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12. Then it does a vote: Counts bullish votes (Price, 34/50, 5/12), Counts bearish votes, Depending on mode: Majority (2 of 3) or Strict (3 of 3). Output: Overall Bullish / Bearish / Sideways. You also get an optional label on the chart like Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear). 7. VWAP + Buy/Sell Signals VWAP is plotted as a white line. Fast “trend” cloud mid: average of 5 & 12 EMAs. Slow “trend” cloud mid: average of 34 & 50 EMAs. Buy condition: 5/12 crosses above 34/50 (bullish cloud flip), Price > VWAP, Optional filter: MTF Cloud 1 bullish (50/55 on higher TF), Optional filter: RVOL >= threshold. Sell condition: 5/12 crosses below 34/50, Price < VWAP, Optional same filters but bearish. When conditions are met: Plots BUY triangle up below price (distinct teal/green tone). Plots SELL triangle down above price (distinct magenta/orange tone). Alert conditions are defined for: BUY / SELL signals, Overall Bullish / Bearish / Sideways change, MTF Cloud 1 trend flips. 8. Data Window metrics For easy backtesting / inspection via TradingView’s data window, it exposes: DTR% (Current) and DTR% Momentum, RVOL% (Now), RVOL% (Prev), RVOL% Momentum. TL;DR – What does this script do for you? It turns your chart into a multi-framework trend and momentum dashboard: Ripster EMA clouds for short/medium trend & S/R. Saty Ribbon for higher-TF pivot structure and conviction. RVOL + DTR/ATR for context (is this a big and well-participated move?). SMA divergence panel for overextension/stretch. A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance. Buy/Sell markers + alerts when: short-term Ripster trend (5/12) flips over/under medium (34/50), price agrees with VWAP, plus optional filters (MTF trend and / or RVOL). Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
Pine Script®指标
由chandranewagetrader提供
Momentum by Trading BiZonesSqueeze Momentum Indicator with EMA Overview The Squeeze Momentum Indicator with EMA is a powerful technical analysis tool that combines the original Squeeze Momentum concept with an Exponential Moving Average (EMA) overlay. This enhanced version helps traders identify market momentum, volatility contractions (squeezes), and potential trend reversals with greater precision. Core Concept The indicator operates on the principle of volatility contraction and expansion: Squeeze Phase: When Bollinger Bands move inside the Keltner Channel, indicating low volatility and potential energy buildup Expansion Phase: When momentum breaks out of the squeeze, signaling potential directional moves Key Components 1. Squeeze Momentum Calculation Formula: Momentum = Linear Regression(Close - Average Price) Where Average Price = (Highest High + Lowest Low + SMA(Close)) / 3 Visualization: Histogram bars showing positive (green) and negative (red) momentum Zero Line: Represents equilibrium point between buyers and sellers 2. EMA Overlay Purpose: Smooths momentum values to identify underlying trends Customization: Adjustable period (default: 20) Toggle on/off display Customizable color and line thickness Cross Signals: Buy/sell signals when momentum crosses above/below EMA 3. Volatility Bands Bollinger Bands (20-period, 2 standard deviations) Keltner Channels (20-period, 1.5 ATR multiplier) Squeeze Detection: Visual background shading when BB are inside KC Trading Signals Buy Signals (Green Upward Triangle) Momentum histogram crosses ABOVE EMA line Occurs during or after squeeze release Confirmed by expanding histogram bars Sell Signals (Red Downward Triangle) Momentum histogram crosses BELOW EMA line Often precedes market downturns Watch for increasing negative momentum Squeeze Warnings (Gray Background) Market in low volatility state Prepare for potential breakout Direction indicated by momentum bias Indicator Settings Main Parameters Length: Period for calculations (default: 20) Show EMA: Toggle EMA visibility EMA Period: Smoothing period for EMA Visual Settings Histogram color-coding based on momentum direction EMA line color and thickness Signal marker size and visibility Squeeze zone background display Practical Applications Trend Identification Uptrend: Consistently positive momentum with EMA support Downtrend: Consistently negative momentum with EMA resistance Range-bound: Oscillating around zero line Entry/Exit Points Conservative Entry: Wait for squeeze release + EMA crossover Aggressive Entry: Anticipate breakout during squeeze Exit: Opposite crossover or momentum divergence Risk Management Use squeeze zones as warning periods EMA crossovers as confirmation signals Combine with support/resistance levels Advanced Interpretation Momentum Strength Strong Bullish: Tall green bars above EMA Weak Bullish: Short green bars near EMA Strong Bearish: Tall red bars below EMA Weak Bearish: Short red bars near EMA Divergence Detection Price makes higher high, momentum makes lower high → Bearish divergence Price makes lower low, momentum makes higher low → Bullish divergence Squeeze Characteristics Long squeezes: More potential energy Frequent squeezes: Choppy market conditions No squeezes: High volatility, trending markets Recommended Timeframes Scalping: 1-15 minute charts Day Trading: 15-minute to 4-hour charts Swing Trading: 4-hour to daily charts Position Trading: Daily to weekly charts Best Practices Confirmation Use with volume indicators Check higher timeframe direction Wait for candle close confirmation Filtering Signals Ignore signals during extreme volatility Require minimum bar size for crossovers Consider market context (news, sessions) Combination Suggestions With RSI: Confirm overbought/oversold conditions With Volume Profile: Identify high-volume nodes With Support/Resistance: Key level reactions With Trend Lines: Breakout confirmations Limitations Lagging indicator (based on past data) Works best in trending markets May give false signals in ranging markets Requires proper risk management Conclusion The Squeeze Momentum Indicator with EMA provides a comprehensive view of market dynamics by combining volatility analysis, momentum measurement, and trend smoothing. Its visual clarity and customizable parameters make it suitable for traders of all experience levels seeking to identify high-probability trading opportunities during volatility contractions and expansions.
Pine Script®指标
由Trading_BiZones提供