[Xzhi] Net VolumeUse net volume to find areas of reversal. This is not meant to be used on its own, and requires others tools, but it is helpful in identifying possible points of entry. Area's with lots of market participants could signify a reversal, depending on the positions entered.
Edit the source code to suit the currency pair you are trading.
Cerca negli script per "entry"
Great Expectations [LucF]Great Expectations helps traders answer the question: What is possible? It is a powerful question, yet exploration of the unknown always entails risk. A more complete set of questions better suited to traders could be:
What opportunity exists from any given point on a chart?
What portion of this opportunity can be realistically captured?
What risk will be incurred in trying to do so, and how long will it take?
Great Expectations is the result of an exploration of these questions. It is a trade simulator that generates visual and quantitative information to help strategy modelers visually identify and analyse areas of optimal expectation on charts, whether they are designing automated or discretionary strategies.
WARNING: Great Expectations is NOT an indicator that helps determine the current state of a market. It works by looking at points in the past from which the future is already known. It uses one definition of repainting extensively (i.e. it goes back in the past to print information that could not have been know at the time). Repainting understood that way is in fact almost all the indicator does! —albeit for what I hope is a noble cause. The indicator is of no use whatsoever in analyzing markets in real-time. If you do not understand what it does, please stay away!
This is an indicator—not a strategy that uses TradingView’s backtesting engine. It works by simulating trades, not unlike a backtest, but with the crucial difference that it assumes a trade (either long or short) is entered on all bars in the historic sample. It walks forward from each bar and determines possible outcomes, gathering individual trade statistics that in turn generate precious global statistics from all outcomes tested on the chart.
Great Expectations provides numbers summarizing trade results on all simulations run from the chart. Those numbers cannot be compared to backtest-produced numbers since all non-filtered bars are examined, even if an entry was taken on the bar immediately preceding the current one, which never happens in a backtest. This peculiarity does NOT invalidate Great Expectations calculations; it just entails that results be considered under a different light. Provided they are evaluated within the indicator’s context, they can be useful—sometimes even more than backtesting results, e.g. in evaluating the impact of parameter-fitting or variations in entry, exit or filtering strats.
Traders and strategy modelers are creatures of hope often suffering from blurred vision; my hope is that Great Expectations will help them appraise the validity of their setup and strat intuitions in a realistic fashion, preventing confirmation bias from obstructing perspective—and great expectations from turning into financial great deceptions.
USE CASES
You’ve identified what looks like a promising setup on other indicators. You load Great Expectations on the chart and evaluate if its high-expectation areas match locations where your setup’s conditions occur. Unless today is your lucky day, chances are the indicator will help you realize your setup is not as promising as you had hoped.
You want to get a rough estimate of the optimal trade duration for a chart and you don’t mind using the entry and exit strategies provided with the indicator. You use the trade length readouts of the indicator.
You’re experimenting with a new stop strategy and want to know how long it will keep you in trades, on average. You integrate your stop strategy in the indicator’s code and look at the average trade length it produces and the TST ratio to evaluate its performance.
You have put together your own entry and exit criteria and are looking for a filter that will help you improve backtesting results. You visually ascertain the suitability of your filter by looking at its results on the charts with great Expectations, to see if your filter is choosing its areas correctly.
You have a strategy that shows backtested trades on your chart. Great Expectations can help you evaluate how well your strategy is benefitting from high-opportunity areas while avoiding poor expectation spots.
You want more complete statistics on your set of strategies than what backtesting will provide. You use Great Expectations, knowing that it tests all bars in the sample that correspond to your criteria, as opposed to backtesting results which are limited to a subset of all possible entries.
You want to fool your friends into thinking you’ve designed the holy grail of indicators, something that identifies optimal opportunities on any chart; you show them the P&L cloud.
FEATURES
For one trade
At any given point on the chart, assuming a trade is entered there, Great Expectations shows you information specific to that trade simulation both on the chart and in the Data Window.
The chart can display:
the P & L Cloud which shows whether the trade ended profitably or not, and by how much,
the Opportunity & Risk Cloud which the maximum opportunity and risk the simulation encountered. When superimposed over the P & L cloud, you will see what I call the managed opportunity and risk, i.e the portion of maximum opportunity that was captured and the portion of the maximum risk that was incurred,
the target and if it was reached,
a background that uses a gradient to show different levels of trade length, P&L or how frequently the target was reached during simulation.
The Data Window displays more than 40 values on individual trades and global results. For any given trade you will know:
Entry/Exit levels, including slippage impact,
It’s outcome and duration,
P/L achieved,
The fraction of the maximum opportunity/risk managed by the trade.
For all trades
After going through all the possible trades on the chart, the indicator will provide you with a rare view of all outcomes expressed with the P&L cloud, which allows us to instantly see the most/least profitable areas of a chart using trade data as support, while also showing its relationship with the opportunity/risk encountered during the simulation. The difference between the two clouds is the managed opportunity and risk.
The Data Window will present you with numbers which we will go through later. Some of them are: average stop size, P/L, win rate, % opportunity managed, trade lengths for different types of trade outcomes and the TST (Target:Stop Travel) ratio.
Let’s see Great Expectations in action… and remember to open your Data Window!
INPUTS
Trade direction : You must first choose if you wish to look at long or short trades. Because of the way the indicator works and the amount of visual information on the chart, it is only practical to look at one type of trades at a time. The default is Longs.
Maximum trade Length (MaxL) : This is the maximum walk forward distance the simulator will go in analyzing outcomes from any given point in the past. It also determines the size of the dead zone among the chart’s last bars. A red background line identifies the beginning of the dead zone for which not enough bars have elapsed to analyze outcomes for the maximum trade length defined. If an ATR-based entry stop is used, that length is added to the wait time before beginning simulations, so that the first entry starts with a clean ATR value. On a sample of around 16000 bars, my tests show that the indicator runs into server errors at lengths of around 290, i.e. having completed ~4,6M simulation loop iterations. That is way too high a length anyways; 100 will usually be amply enough to ring out all the possibilities out of a simulation, and on shorter time frames, 30 can be enough. While making it unduly small will prevent simulations of expressing the market’s potential, the less you use, the faster the indicator will run. The default is 40.
Unrealized P&L base at End of Trade (EOT) : When a simulation ends and the trade is still open, we calculate unrealized P&L from an exit order executed from either the last in-trade stop on the previous bar, or the close of the last bar. You can readily see the impact of this selection on the chart, with the P&L cloud. The default is on the close.
Display : The check box besides the title does nothing.
Show target : Shows a green line displaying the trade’s target expressed as a multiple of X, i.e. the amplitude of the entry stop. I call this value “X” and use it as a unit to express profit and loss on a trade (some call it “R”). The line is highlighted for trades where the close reached the target during the trade, whether the trade ended in profit or loss. This is also where you specify the multiple of X you wish to use in calculating targets. The multiple is used even if targets are not displayed.
Show P&L Cloud : The cloud allows traders to see right away the profitable areas of the chart. The only line printed with the cloud is the “end of trade line” (EOT). The EOT line is the only way one can see the level where a trade ended on the chart (in the Data Window you can see it as the “Exit Fill” value). The EOT level for the trade determines if the trade ended in a profit or a loss. Its value represents one of the following:
- fill from order executed at close of bar where stop is breached during trade (which produces “Realized P/L”),
- simulation of a fill pseudo-fill at the user-defined EOT level (last close or stop level) if the trade runs its course through MaxL bars without getting stopped (producing Unrealized P/L).
The EOT line and the cloud fill print in green when the trade’s outcome is profitable and in red when it is not. If the trade was closed after breaching the stop, the line appears brighter.
Show Opportunity&Risk Cloud : Displays the maximum opportunity/risk that was present during the trade, i.e. the maximum and minimum prices reached.
Background Color Scheme : Allows you to choose between 3 different color schemes for the background gradients, to accommodate different types of chart background/candles. Select “None” if you don’t want a background.
Background source : Determines what value will be used to generate the different intensities of the gradient. You can choose trade length (brighter is shorter), Trade P&L (brighter is higher) or the number of times the target was reached during simulation (brighter is higher). The default is Trade Length.
Entry strat : The check box besides the title does nothing. The default strat is All bars, meaning a trade will be simulated from all bars not excluded by the filters where a MaxL bars future exists. For fun, I’ve included a pseudo-random entry strat (an indirect way of changing the seed is to vary the starting date of the simulation).
Show Filter State : Displays areas where the combination of filters you have selected are allowing entries. Filtering occurs as per your selection(s), whether the state is displayed or not. The effect of multiple selections is additive. The filters are:
1. Bar direction: Longs will only be entered if close>open and vice versa.
2. Rising Volume: Applies to both long and shorts.
3. Rising/falling MA of the length you choose over the number of bars you choose.
4. Custom indicator: You can feed your own filtering signal through this from another indicator. It must produce a signal of 1 to allow long entries and 0 to allow shorts.
Show Entry Stops :
1. Multiple of user-defined length ATR.
2. Fixed percentage.
3. Fixed value.
All entry stops are calculated using the entry fill price as a reference. The fill price is calculated from the current bar’s open, to which slippage is added if configured. This simulates the case where the strategy issued the entry signal on the previous bar for it to be executed at the next bar’s open.
The entry stop remains active until the in-trade stop becomes the more aggressive of the two stops. From then on, the entry stop will be ignored, unless a bar close breaches the in-trade stop, in which case the stop will be reset with a new entry stop and the process repeats.
Show In-trade stops : Displays in bright red the selected in-trade stop (be sure to read the note in this section about them).
1. ATR multiple: added/subtracted from the average of the two previous bars minimum/maximum of open/close.
2. A trailing stop with a deviation expressed as a multiple of entry stop (X).
3. A fixed percentage trailing stop.
Trailing stops deviations are measured from the highest/lowest high/low reached during the trade.
Note: There is a twist with the in-trade stops. It’s that for any given bar, its in-trade stop can hold multiple values, as each successive pass of the advancing simulation loops goes over it from a different entry points. What is printed is the stop from the loop that ended on that bar, which may have nothing to do with other instances of the trade’s in-trade stop for the same bar when visited from other starting points in previous simulations. There is just no practical way to print all stop values that were used for any given bar. While the printed entry stops are the actual ones used on each bar, the in-trade stops shown are merely the last instance used among many.
Include Slippage : if checked, slippage will be added/subtracted from order price to yield the fill price. Slippage is in percentage. If you choose to include slippage in the simulations, remember to adjust it by considering the liquidity of the markets and the time frame you’ll be analyzing.
Include Fees : if checked, fees will be subtracted/added to both realized an unrealized trade profits/losses. Fees are in percentage. The default fees work well for crypto markets but will need adjusting for others—especially in Forex. Remember to modify them accordingly as they can have a major impact on results. Both fees and slippage are included to remind us of their importance, even if the global numbers produced by the indicator are not representative of a real trading scenario composed of sequential trades.
Date Range filtering : the usual. Just note that the checkbox has to be selected for date filtering to activate.
DATA WINDOW
Most of the information produced by this indicator is made available in the Data Window, which you bring up by using the icon below the Watchlist and Alerts buttons at the right of the TV UI. Here’s what’s there.
Some of the information presented in the Data Window is standard trade data; other values are not so standard; e. g. the notions of managed opportunity and risk and Target:Stop Travel ratio. The interplay between all the values provided by Great Expectations is inherently complex, even for a static set of entry/filter/exit strats. During the constant updating which the habitual process of progressive refinement in building strategies that is the lot of strategy modelers entails, another level of complexity is no doubt added to the analysis of this indicator’s values. While I don’t want to sound like Wolfram presenting A New Kind of Science , I do believe that if you are a serious strategy modeler and spend the time required to get used to using all the information this indicator makes available, you may find it useful.
Trade Information
Entry Order : This is the open of the bar where simulation starts. We suppose that an entry signal was generated at the previous bar.
Entry Fill (including slip.) : The actual entry price, including slippage. This is the base price from which other values will be calculated.
Exit Order : When a stop is breached, an exit order is executed from the close of the bar that breached the stop. While there is no “In-trade stop” value included in the Data Window (other than the End of trade Stop previously discussed), this “Exit Order” value is how we can know the level where the trade was stopped during the simulation. The “Trade Length” value will then show the bar where the stop was breached.
Exit Fill (including slip.) : When the exit order is simulated, slippage is added to the order level to create the fill.
Chart: Target : This is the target calculated at the beginning of the simulation. This value also appear on the chart in teal. It is controlled by the multiple of X defined under the “Show Target” checkbox in the Inputs.
Chart: Entry Stop : This value also appears on the chart (the red dots under points where a trade was simulated). Its value is controlled by the Entry Strat chosen in the Inputs.
X (% Fill, including Fees) and X (currency) : This is the stop’s amplitude (Entry Fill – Entry Stop) + Fees. It represents the risk incurred upon entry and will be used to express P&L. We will show R expressed in both a percentage of the Entry Fill level (this value), and currency (the next value). This value represents the risk in the risk:reward ratio and is considered to be a unit of 1 so that RR can be expressed as a single value (i.e. “2” actually meaning “1:2”).
Trade Length : If trade was stopped, it’s the number of bars elapsed until then. The trade is then considered “Closed”. If the trade ends without being stopped (there is no profit-taking strat implemented, so the stop is the only exit strat), then the trade is “Open”, the length is MaxL and it will show in orange. Otherwise the value will print in green/red to reflect if the trade is winning/losing.
P&L (X) : The P&L of the trade, expressed as a multiple of X, which takes into account fees paid at entry and exit. Given our default target setting at 2 units of “X”, a trade that closes at its target will have produced a P&L of +2.0, i.e. twice the value of X (not counting fees paid at exit ). A trade that gets stopped late 50% further that the entry stop’s level will produce a P&L of -1.5X.
P&L (currency, including Fees) : same value as above, but expressed in currency.
Target first reached at bar : If price closed above the target during the trade (even if it occurs after the trade was stopped), this will show when. This value will be used in calculating our TST ratio.
Times Stop/Target reached in sim. : Includes all occurrences during the complete simulation loop.
Opportunity (X) : The highest/lowest price reached during a simulation, i.e. the maximum opportunity encountered, whether the trade was previously stopped or not, expressed as a multiple of X.
Risk (X) : The lowest/highest price reached during a simulation, i.e. the maximum risk encountered, whether the trade was previously stopped or not, expressed as a multiple of X.
Risk:Opportunity : The greater this ratio, the greater Opportunity is, compared to Risk.
Managed Opportunity (%) : The portion of Opportunity that was captured by the highest/low stop position, even if it occurred after a previous stop closed the trade.
Managed Risk (%) : The portion of risk that was protected by the lowest/highest stop position, even if it occurred after a previous stop closed the trade. When this value is greater than 100%, it means the trade’s stop is protecting more than the maximum risk, which is frequent. You will, however, never see close to those values for the Managed Opportunity value, since the stop would have to be higher than the Maximum opportunity. It is much easier to alleviate the risk than it is to lock in profits.
Managed Risk:Opportunity : The ratio of the two preceding values.
Managed Opp. vs. Risk : The Managed Opportunity minus the Managed Risk. When it is negative, which is most often is, it means your strat is protecting a greater portion of the risk than it captures opportunity.
Global Numbers
Win Rate(%) : Percentage of winning trades over all entries. Open trades are considered winning if their last stop/close (as per user selection) locks in profits.
Avg X%, Avg X (currency) : Averages of previously described values:.
Avg Profitability/Trade (APPT) : This measures expectation using: Average Profitability Per Trade = (Probability of Win × Average Win) − (Probability of Loss × Average Loss) . It quantifies the average expectation/trade, which RR alone can’t do, as the probabilities of each outcome (win/lose) must also be used to calculate expectancy. The APPT combine the RR with the win rate to yield the true expectancy of a strategy. In my usual way of expressing risk with X, APPT is the equivalent of the average P&L per trade expressed in X. An APPT of -1.5 means that we lose on average 1.5X/trade.
Equity (X), Equity (currency) : The cumulative result of all trade outcomes, expressed as a multiple of X. Multiplied by the Average X in currency, this yields the Equity in currency.
Risk:Opportunity, Managed Risk:Opportunity, Managed Opp. vs. Risk : The global values of the ones previously described.
Avg Trade Length (TL) : One of the most important values derived by going through all the simulations. Again, it is composed of either the length of stopped trades, or MaxL when the trade isn’t stopped (open). This value can help systems modelers shape the characteristics of the components they use to build their strategies.
Avg Closed Win TL and Avg Closed Lose TL : The average lengths of winning/losing trades that were stopped.
Target reached? Avg bars to Stop and Target reached? Avg bars to Target : For the trades where the target was reached at some point in the simulation, the number of bars to the first point where the stop was breached and where the target was reached, respectively. These two values are used to calculate the next value.
TST (Target:Stop Travel Ratio) : This tracks the ratio between the two preceding values (Bars to first stop/Bars to first target), but only for trades where the target was reached somewhere in the loop. A ratio of 2 means targets are reached twice as fast as stops.
The next values of this section are counts or percentages and are self-explanatory.
Chart Plots
Contains chart plots of values already describes.
NOTES
Optimization/Overfitting: There is a fine line between optimizing and overfitting. Tools like this indicator can lead unsuspecting modelers down a path of overfitting that often turns strategies into over-specialized beasts that do not perform elegantly when confronted to the real-world. Proven testing strategies like walk forward analysis will go a long way in helping modelers alleviate this risk.
Input tuning: Because the results generated by the indicator will vary with the parameters used in the active entry, filtering and exit strats, it’s important to realize that although it may be fun at first, just slapping the default settings on a chart and time frame will not yield optimal nor reliable results. While using ATR as often as possible (as I do in this indicator) is a good way to make strat parametrization adaptable, it is not a foolproof solution.
There is no data for the last MaxL bars of the chart, since not enough trade future has elapsed to run a simulation from MaxL bars back.
Modifying the code: I have tried to structure the code modularly, even if that entails a larger code base, so that you can adapt it to your needs. I’ve included a few token components in each of the placeholders designed for entry strategies, filters, entry stops and in-trade stops. This will hopefully make it easier to add your own. In the same spirit, I have also commented liberally.
You will find in the code many instances of standard trade management tasks that can be lifted to code TV strategies where, as I do in mine, you manage everything yourself and don’t rely on built-in Pine strategy functions to act on your trades.
Enjoy!
THANKS
To @scarf who showed me how plotchar() could be used to plot values without ruining scale.
To @glaz for the suggestion to include a Chandelier stop strat; I will.
To @simpelyfe for the idea of using an indicator input for the filters (if some day TV lets us use more than one, it will be useful in other modules of the indicator).
To @RicardoSantos for the random generator used in the random entry strat.
To all scripters publishing open source on TradingView; their code is the best way to learn.
To my trading buddies Irving and Bruno; who showed me way back how pro traders get it done.
TICK gapUsed with the "Cumulative TICK", highlights a gap up candle in yellow and a gap down candle in white, then plots a line 500 points away, signalling a counter trend entry.
MACD Enhanced System MTF with optional TSL and Alerts [LTB]This script is developed to analyse MACD, MACD Signal, MACD Histogram movements by using current and higher time frame. Script calculates higher time frame automatically, no manuel entry. there is trailing stop loss line that is optional.
You can change the parameters as you wish.
btw. you should know that MACD is more successful when there is a trend.
I already shared this as a strategy script. Some ppl wanted to see the code.
You might want to see strategy test =>
by LonesomeTheBlue
Negociated capitalEste script calcula el capital negociado para el periodo trabajado. Simplemente calcula el precio promedio y luego lo multiplica por el volumen operado. El resultado es una aproximación del capital total que se intercambio. Es útil para estimar la liquidez del mercado y encontrar puntos de entrada mas precisos. Aplica a cualquier producto donde se conozca el volumen.
This script calculates the capital negotiated for the period worked. Simply calculate the average price and then multiply it by the volume operated. The result is an approximation of the total capital that is exchanged. It is useful to estimate the liquidity of the market and find more precise points of entry. Applies to any product where the volume is known.
Volatility IndicatorThe Volatility Index measures the market volatility by plotting a smoothed average of the True Range.
Based on HPotter's idea (),
it returns an average of the TrueRange over a specific number of bars.
Here the result is passed through the Fisher's transform and normalized to 0/1-range.
This indicator may be used to identify stretches in the price movements, suitable for entry.
Helter Skalper [by @treypeng]Just my favourite MAs (MA40 and EMA25) filled into an attractive ribbon a bit like a Ichi cloud.
I use these to help make decisions about trend and whether to get in or out of a longer term trade.
I also use these same MAs to scalp on the 5min chart. I like to wait until the MA40 has flattened before looking for an entry.
RCI with EMA&MACD2018/6/11 Re-release for house rule of Trading view.
5lines : RCI lines. A thick navy line has the longest period.
circles : MACD cross. GC=green DC=red
backcolor : Short EMA > Long EMA is blue. Short EMA < Long EMA is red.
Black shadow : It reveals its appearance when over-buying/selling.
It helps your entry.
CCI Multi-TimeframeThe Commodity Channel Index (CCI) is a leading oscillating momentum indicator that was developed by Donald Lambert to identify cyclical turns in commodities but can also be used on securities and bonds as well.
HOW IS IT USED ?
Lambert used the CCI to generate entry and exit signals when the CCI moved above +100% and below -100% respectively. When the CCI moves above +100%, the security enters into a strong uptrend and an entry signal is given. When the CCI moves back below +100% this position should be closed. Conversely, when the CCI moves below -100%, the security enters into a strong downtrend and an exit signal is given. When the CCI moves back above -100% this position should be closed.
In addition, an entry signal is given when the CCI bounces off of the zero line. When the CCI reaches the zero line, the security's average price is at the moving average used to calculate the CCI and when a security bounces off its moving average it is considered a good entry position as the security has pulled back to its short-term support with the bounce reaffirming the current trend.
The CCI can also be used to identify overbought and oversold levels. A security could be considered oversold when the CCI moves below -100 and overbought when it moves above +100. From an oversold level, an entry signal may be given when the CCI moves above -100. From an overbought level, an exit signal might be given when the CCI moves below +100.
Divergences can also be applied to the CCI. A positive divergence below -100 would increase the probability of a signal based on a move above -100, and a negative divergence above +100 would increase the probability of a signal based on a move back below +100.
Trend line breaks can be used to generate entry and exit signals. Trend lines can be drawn connecting the peaks and troughs. From oversold levels, a move above -100 and a trend line breakout could be used as an entry signal. Conversely, from overbought levels, a move below +100 and a trend line breakout could be used as an exit signal.
I added the possibility to add on the chart a 2nd timeframe for confirmation.
If you found this script useful, a tip is always welcome... :)
CMO_EMA (Chande Momentum Oscillator and EMA)
The absolute value of "CMO" alone makes it impossible to know the current location for the waves and there is a possibility of doing useless entry.
To prevent this, display EMA.
Systematic TF IndicatorThis is a simple trend following indicator which works off moving averages for trend bias and breakouts for entry.
Ichimoku Lagging Background ColorThis script colors the background, 26 bars ago, based upon the lagging line being above or below the closing price of 26 bars ago. The lagging line is used as a confirmation for your current entry.
Momentum Linear RegressionThe original script was posted on ProRealCode by user Nicolas.
This is an indicator made of the linear regression applied to the rate of change of price (or momentum). I made a simple signal line just by duplicating the first one within a period decay in the past, to make those 2 lines cross. You can add more periods decay to made signal smoother with less false entry.
Support Resistance with Order BlocksIndicator Description
Professional Price Level Detection for Smart Trading. Master the Markets with Precision Support/Resistance and Order Block Analysis . It provides traders with clear visual cues for potential reversal and breakout areas, combining both retail and institutional trading concepts into one powerful tool.
The Support & Resistance with Order Blocks indicator is a versatile Pine Script tool designed to empower traders with clear, actionable insights into key market levels. By combining advanced pivot-based support and resistance (S/R) detection with order block (OB) filtering, this indicator delivers clean, high-probability zones for entries, exits, and reversals. With customizable display options (boxes or lines) and intuitive settings, it’s perfect for traders of all styles—whether you’re scalping, swing trading, or investing long-term. Overlay it on your TradingView chart and elevate your trading strategy today!
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Key Features
✅ Dynamic Support/Resistance - Auto-adjusting levels based on price action
✅ Smart Order Block Detection - Identifies institutional buying/selling zones
✅ Dual Display Modes - Choose between Boxes or Clean Lines for different chart styles
✅ Customizable Sensitivity - Adjust detection parameters for different markets
✅ Broken Level Markers - Clearly shows when key levels are breached
✅ Timeframe-Adaptive - Automatically adjusts for daily/weekly charts
1. Dynamic Support & Resistance Detection
Identifies critical S/R zones using pivot high/low calculations with adjustable look back periods.
Visualizes active S/R zones with distinct colors and labels ("Support" or "Resistance" for boxes, lines for cleaner charts).
Marks broken S/R levels as "Br S" (broken support) or "Br R" (broken resistance) when historical display is enabled, aiding in breakout and reversal analysis.
2. Smart Order Block Identification
Detects bullish and bearish order blocks based on significant price movements (default: ±0.3% over 5 candles).
Highlights institutional buying/selling zones with customizable colors, displayed as boxes or lines.
Filters out overlapping OB zones to keep your chart clutter-free.
3. Dual Display Options
Boxes or Lines: Choose to display S/R and OB as boxes for detailed zones or lines for a minimalist view.
Line Width Customization: Adjust line widths for S/R and OB (1–5 pixels) for optimal visibility.
Color Customization: Tailor colors for active/broken S/R and bullish/bearish OB zones.
4. Advanced Overlap Filtering
Ensures S/R zones don’t overlap with OB zones or other S/R levels, providing only the most relevant levels.
Limits the number of active zones (default: 10) to maintain chart clarity.
5. Historical S/R Visualization
Optionally display broken S/R levels with distinct colors and labels ("Br S" or "Br R") to track historical price reactions.
Broken levels are dynamically updated and removed (or retained) based on user settings.
6. Timeframe Adaptability
Automatically adjusts pivot detection for daily/weekly timeframes (40-candle look back) versus shorter timeframes (20-candle look back).
Works seamlessly across all asset classes (stocks, forex, crypto, etc.) and timeframes.
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How It Works
• Support & Resistance:
Uses ta.pivothigh and ta.pivotlow to detect significant price pivots, with a user-defined look back (default: 5 candles post-pivot).
Plots S/R as boxes (with labels "Support" or "Resistance") or lines, extending to the current bar for real-time relevance.
Broken S/R levels are marked with adjusted colors and labels ("S" or "R" for boxes, "Br S" or "Br R" for lines when historical display is enabled).
• Order Blocks:
Identifies OB based on strong price movements over 4 candles, plotted as boxes or lines at the candle’s midpoint.
Validates OB to prevent overlap, ensuring only significant zones are displayed.
Removes OB zones when price breaks through, keeping the chart focused on active levels.
• Customization:
Toggle S/R and OB visibility, adjust detection sensitivity, and set maximum active zones (4–50).
Fine-tune line widths and colors for a personalized chart experience.
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Why Use This Indicator?
• Precision Trading: Pinpoint high-probability entry/exit zones with filtered S/R and OB levels.
• Clean Charts: Overlap filtering and zone limits reduce clutter, focusing on key levels.
• Versatile Display: Switch between boxes for detailed zones or lines for simplicity, with adjustable line widths.
• Institutional Edge: Leverage OB detection to align with institutional activity for smarter trades.
• User-Friendly: Intuitive settings and clear visuals make it accessible for beginners and pros alike.
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Settings Overview________________________________________
⚙ Input Parameters
Settings Overview
Display Options:
Display Type: Choose "Boxes" or "Lines" for S/R and OB visualization.
S/R Line Width: Set line thickness for S/R lines (1–5 pixels, default: 2).
OB Line Width: Set line thickness for OB lines (1–5 pixels, default: 2).
Order Block Options:
Show Order Block: Enable/disable OB display.
Bull/Bear OB Colors: Customise border and fill colors for bullish and bearish OB zones.
Support/Resistance Options:
Show S/R: Toggle active S/R zones.
Show Historical S/R: Display broken S/R levels, marked as "Br S" or "Br R" for lines.
Detection Period: Set candle lookback for pivot detection (4–50, default: 5).
Max Active Zones: Limit active S/R and OB zones (4–50, default: 10).
Colors: Customise active and broken S/R colors for clear differentiation.
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How to Use
1. Add to Chart: Apply the indicator to your TradingView chart.
2. Customize Settings:
o Select "Boxes" or "Lines" for your preferred display style.
o Adjust line widths, colors, and detection parameters to suit your trading style.
o Enable "Show Historical S/R" to track broken levels with "Br S" and "Br R" labels.
3. Analyze Levels:
o Use support zones (green) for buy entries and resistance zones (red) for sell entries.
o Monitor OB zones for institutional activity, signaling potential reversals or continuations.
o Watch for "Br S" or "Br R" labels to identify breakout opportunities.
4. Combine with Other Tools: Pair with trend indicators, volume analysis, or price action for a robust strategy.
5. Monitor Breakouts: Trade breakouts when price breaches S/R or OB zones, with historical labels providing context.
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Example Use Cases
• Swing Trading: Use S/R and OB zones to identify entry/exit points, with historical broken levels for context.
• Breakout Trading: Trade price breaks through S/R or OB, using "Br S" and "Br R" labels to confirm reversals.
• Scalping: Adjust detection period for faster S/R and OB identification on lower timeframes.
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• Performance: Optimized for all timeframes, with best results on 5M, 15M, 30M, 1H, 4H, or daily charts for swing trading.
• Compatibility: Works with any asset class and TradingView chart.
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Get Started
Transform your trading with Support & Resistance with Order Blocks! Add it to your chart, customize it to your style, and trade with confidence. For questions or feedback, drop a comment on TradingView or message the author. Happy trading! 🚀
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Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and practice proper risk management before trading.
Fair Value Gap [Custom]📌 FVG Indicator – Smart Money Concepts Tool
This script is based on Smart Money Concepts (SMC) and automatically detects and marks Fair Value Gaps (FVG) on the chart, helping traders identify unbalanced price areas left behind by institutional moves.
🧠 What is an FVG?
An FVG (Fair Value Gap) is the price gap formed when the market moves rapidly, leaving behind a candle range where no trading occurred — typically between Candle 1’s high and Candle 3’s low (in a three-candle pattern). These gaps often signal imbalance, created during structural breaks or liquidity grabs, and may act as retrace zones or entry points.
🛠 Features:
✅ Automatically detects and highlights FVG zones (high-low range)
✅ Differentiates between open (unfilled) and closed (filled) FVGs
✅ Adjustable timeframe settings (works best on 1H–4H charts)
✅ Option to toggle display of filled FVGs
✅ Great for identifying pullback entries, continuation zones, or reversal setups
💡 Recommended Use:
After BOS/CHoCH, watch for price to return to the FVG for entry
Combine with Order Blocks and liquidity zones for higher accuracy
Best used as part of an ICT or SMC-based trading system
Retracement Bar🔍 Retracement Bar – RB
The Retracement Bar (RB) indicator is designed to highlight potential reversal zones by identifying candles where price shows a clear rejection from the extremes. It helps traders spot moments where institutional inventory rebalancing may be occurring — often a precursor to a strong move in the opposite direction.
RB highlights bars that:
Have a relatively small real body compared to the total candle range.
Show a long wick (upper or lower) that exceeds a user-defined percentage of the candle range.
Suggest a potential rejection of price — upward or downward — based on candle structure.
When these conditions are met, a triangle symbol is plotted:
🔻 Red triangle above a candle suggests a possible short opportunity.
🔺 Green triangle below a candle suggests a possible long opportunity.
This indicator does not repaint and triggers only at candle close.
📈 Example – Long Entry
Signal: A green triangle appears below a candle (suggesting rejection of lower prices).
Steps:
Wait for the current RB candle to close.
On the next candle:
Enter long if price breaks above the high of the RB candle.
Alternatively, wait for a pullback and enter based on confirmation (e.g., bullish engulfing, hammer, trendline bounce).
Place a stop-loss just below the low of the RB candle.
Set a target:
Based on a 2:1 risk-reward ratio.
Or use the next resistance/Fibonacci level.
📉 Example – Short Entry
Signal: A red triangle appears above a candle (suggesting rejection of higher prices).
Steps:
Wait for the current RB candle to close.
On the next candle:
Enter short if price breaks below the low of the RB candle.
Or wait for confirmation (e.g., bearish engulfing, shooting star, breakdown from a level).
Place a stop-loss just above the high of the RB candle.
Set a target:
2:1 risk-reward ratio.
Or the next support/Fibonacci zone.
✅ Recommended Filters for Better Results:
Confluence with support/resistance zones.
Trend alignment or reversal context.
Additional confirmation from price action patterns or oscillators.
Volume analysis for entry strength.
🙏 Acknowledgment
Special thanks to Rob Hoffman for inspiring this concept through his original Inventory Retracement Bar (IRB) idea — this indicator is a reinterpretation meant to visually and practically support discretionary price action traders.
Capital Risk OptimizerCapital Risk Optimizer 🛡️
The Capital Risk Optimizer is an educational tool designed to help traders study capital efficiency, risk management, and scaling strategies when using leverage.
This script calculates and visualizes essential metrics for managing leveraged positions, including:
Entry Price – The current market price.
Stop Loss Level – Automatically derived using the 30-bar lowest low minus 1 ATR (default: 14-period ATR), an approach designed to create a dynamic, volatility-adjusted stop loss.
Stop Loss Distance (%) – The percentage distance between entry and stop.
Maximum Safe Leverage – The highest leverage allowable without risking liquidation before your stop is reached.
Margin Required – The amount of collateral necessary to support the desired position size at the calculated leverage.
Position Size – The configurable notional value of your trade.
These outputs are presented in a clean, customizable table overlay so you can quickly understand how position sizing, volatility, and leverage interact.
By default, the script uses a 14-period ATR combined with the lowest low of the past 30 bars, providing an optimal balance between sensitivity and noise for defining stop placement. This methodology helps traders account for market volatility in a systematic way.
The Capital Risk Optimizer is particularly useful as a portfolio management tool, supporting traders who want to study how to scale into positions using risk-adjusted sizing and capital efficiency principles. It pairs best with backtested strategies, and does not directly produce signals of any kind.
How to Use:
Set your desired position size.
Adjust the ATR and lookback settings to fine-tune stop loss placement.
Study the resulting leverage and margin requirements in real time.
Use this information to simulate and visualize potential trade scenarios and capital allocation models.
Disclaimer:
This script is provided for educational and informational purposes only. It does not constitute financial advice and should not be relied upon for live trading decisions. Always do your own research and consult with a qualified professional before making any trading or investment decisions.
PRO Investing - ATR Quant.algo by proinvesting.coATR Quant.algo by PROInvesting.co
A powerful and visually intuitive trend-following system designed to capture high-momentum moves and avoid market chop.
Quant.algo combines a dynamic trend-following EMA with multi-level ATR volatility zones to provide a complete trading framework with clear entry signals, stop-loss levels, and take-profit targets.
Key Features:
Dynamic Trend EMA: A thick baseline that turns Green for uptrends and Red for downtrends. Only trade in the direction of the trend.
Multi-Level ATR Zones: Automatically adapting channels that define ideal zones for entries, stops, and profit-taking.
Volatility Filter: A smart filter that tints the background when volatility is expanding, helping you avoid sideways markets and only trade when the market is ready to move.
Pullback Entry Signals: Clear BUY and SELL arrows appear after a pullback to the EMA, providing high-probability entry points.
Simple Trading Rules:
Go LONG: When the baseline is Green, wait for a Green BUY arrow, and aim for the upper TP Zone. Place your stop below the orange Stop Zone line.
Go SHORT: When the baseline is Red, wait for a Red SELL arrow, and aim for the lower TP Zone. Place your stop above the orange Stop Zone line.
Best For:
Traders: Swing Traders & Position Traders.
Timeframes: 4-Hour (H4) and Daily (D1).
Assets: Trending markets (Indices, Forex, Crypto).
The Essa System V1.5The Essa System V1.5
Overview
The Essa System is a comprehensive trading strategy and backtesting tool designed for traders who use market structure and Fibonacci retracements. It automatically identifies significant trading ranges, calculates key retracement levels, and then backtests a complete trading strategy based on entries at these levels.
This is more than just an indicator; it's a full suite of analytical tools designed to help you develop, test, and analyze a complete trading plan directly on your chart.
How It Works
The system's logic is based on a classic price action concept:
Range Detection: First, it automatically identifies a significant trading range by finding the highest high and lowest low based on pivot points over a user-defined lookback period.
Fibonacci Analysis: Once the range direction (bullish or bearish) is established, the script calculates and displays key Fibonacci retracement levels (50%, 61.8%, 70.5%, and 78.6%).
Trade Execution: The system then looks for historical and live trading opportunities, entering a trade when the price pulls back to one of the enabled Fibonacci levels. All trades are managed with a predefined Stop Loss and Take Profit in pips.
Key Features
Automatic Range & Fibonacci Analysis: Automatically draws the primary trading range and key Fib levels, updating as market structure evolves.
Historical Backtesting: Plots all historical trade entries based on the strategy rules, allowing for a complete performance review over the chosen chart history.
Detailed Trade Visuals: Displays active trades on the chart with clear lines and boxes for entry, stop loss, and take profit zones.
Advanced Session Filtering: Allows you to isolate trades to specific market sessions (London, New York, Asia) with timezone support and daily trade limits.
Built-in Risk Management: A cornerstone of the system. It automatically calculates the required position size for each trade based on your specified Account Size, Risk Percentage, and Stop Loss.
Comprehensive Performance Tables: The script includes two powerful analytical tables:
Trade Helper Table: Shows the status of live or potential upcoming trades, including entry/SL/TP prices and the calculated position size.
History Table: Logs all recent trades and calculates key statistics like Profit Factor, Win Rate, and the overall PnL impact on your account balance.
Customizable Strategy: Fine-tune every aspect of the strategy with inputs for the lookback period, SL/TP in pips, which Fib levels are tradable, and a cooldown timer to prevent over-trading.
How to Use
Add the indicator to your chart.
Navigate to the settings and, under "Account Settings," configure your Account Size and Risk Per Trade (%). This is essential for the PnL and position sizing calculations to be meaningful.
Under "Session Filter Settings," adjust the sessions you wish to trade.
Analyze the historical trades and the performance tables to understand the strategy's behaviour on your chosen asset and timeframe.
Disclaimer: This is a tool for strategy analysis and backtesting. It is not financial advice. Past performance is not indicative of future results. Always use proper risk management.
Logistic Regression ICT FVG🚀 OVERVIEW
Welcome to the Logistic Regression Fair Value Gap (FVG) System — a next-gen trading tool that blends precision gap detection with machine learning intelligence.
Unlike traditional FVG indicators, this one evolves with each bar of price action, scoring and filtering gaps based on real market behavior.
🔧 CORE FEATURES
✨ Smart Gap Detection
Automatically identifies bullish and bearish Fair Value Gaps using volatility-aware candle logic.
📊 Probability-Based Filtering
Uses logistic regression to assign each gap a confidence score (0 to 1), showing only high-probability setups.
🔁 Real-Time Retest Tracking
Continuously watches how price interacts with each gap to determine if it deserves respect.
📈 Multi-Factor Assessment
Evaluates RSI, MACD, and body size at gap formation to build a full context snapshot.
🧠 Self-Learning Engine
The logistic regression model updates on each bar using gradient descent, refining its predictions over time.
📢 Built-In Alerts
Get instant alerts when a gap forms, gets retested, or breaks.
🎨 Custom Display Options
Control the color of bullish/bearish zones, and toggle on/off probability labels for cleaner charts.
🚩 WHAT MAKES IT DIFFERENT
This isn’t just another box-drawing indicator.
While others mark every imbalance, this system thinks before it draws — using statistical modeling to filter out noise and prioritize high-impact zones.
By learning from how price behaves around gaps (not just how they form), it helps you trade only what matters — not what clutters.
⚙️ HOW IT WORKS
1️⃣ Detection
FVGs are identified using ATR-based thresholds and sharp wick imbalances.
2️⃣ Behavior Monitoring
Every gap is tracked — and if respected enough times, it becomes part of the elite training set.
3️⃣ Context Capture
Each new FVG logs RSI, MACD, and body size to provide a feature-rich context for prediction.
4️⃣ Prediction (Logistic Regression)
The model predicts how likely the gap is to be respected and assigns it a probability score.
5️⃣ Classification & Alerts
Gaps above the threshold are plotted with score labels, and alerts trigger for entry/respect/break.
⚙️ CONFIGURATION PANEL
🔧 System Inputs
• Max Retests – How many times a gap must be respected to train the model
• Prediction Threshold – Minimum score to show a gap on the chart
• Learning Rate – Controls how fast the model adapts (default: 0.009)
• Max FVG Lifetime – Expiration duration for unused gaps
• Show Historic Gaps – Show/hide expired or invalidated gaps
🎨 Visual Options
• Bullish/Bearish Colors – Set gap colors to fit your chart style
• Confidence Labels – Show probability scores next to FVGs
• Alert Toggles – Enable alerts for:
– New FVG detected
– FVG respected (entry)
– FVG invalidated (break)
💡 WHY LOGISTIC REGRESSION?
Traditional FVG tools rely on candle shapes.
This system relies on probability — by training on RSI, MACD, and price behavior, it predicts whether a gap will act as a true liquidity zone.
Logistic regression lets the system continuously adapt using new data, making it more accurate the longer it runs.
That means smarter signals, fewer false positives, and a clearer view of where real opportunities lie.
Market Killer & Scalper [SUKH-X] [Only 1% can understand it]Advanced XAUUSD Scalper Pro - Complete Trading System
🎯 Overview
The Advanced XAUUSD Scalper Pro is a comprehensive Pine Script indicator specifically designed for scalping XAUUSD (Gold/USD) on 5-minute timeframes. This professional-grade tool combines multiple technical analysis methods to provide high-accuracy entry and exit signals for short-term traders.
🔧 Core Features
Dynamic Support & Resistance System
Automatic Pivot Detection : Identifies key pivot highs and lows based on customizable strength settings
Visual S&R Boxes : Color-coded boxes highlighting support (green) and resistance (red) zones
Adaptive Levels : Maintains up to 10 dynamic S&R levels that update in real-time
Breakout Detection : Alerts when price breaks through significant levels with volume confirmation
Advanced Breakout Analysis [ /i]
Threshold-Based Detection : Customizable breakout percentage thresholds (default 0.02%)
Volume Confirmation : Optional volume spike validation for stronger signals
Consolidation Zones : Identifies sideways markets before potential breakouts
Multi-Timeframe Support : Works across different timeframes with adaptive parameters
### **Reversal Signal System**
- **RSI Integration**: 14-period RSI with customizable overbought (70) and oversold (30) levels
- **Stochastic Oscillator**: Dual %K and %D lines for momentum confirmation
- **Candlestick Patterns**: Incorporates bullish/bearish candlestick analysis
- **Divergence Detection**: Identifies potential trend reversals at key levels
### **Scalping Optimization**
- **Dual EMA System**: Fast EMA (8) and Slow EMA (21) for trend direction
- **ATR-Based Calculations**: Dynamic stop-loss and take-profit levels using Average True Range
- **Trend Strength Filter**: Background coloring indicates strong uptrends (green) and downtrends (red)
- **Noise Reduction**: Filters out false signals in choppy market conditions
## 📊 **Visual Elements**
### **Signal Types**
- **🟢 Green Triangle Up**: Long entry signal with confluence of bullish factors
- **🔴 Red Triangle Down**: Short entry signal with bearish confirmation
- **🟡 Yellow X**: Exit signals for both long and short positions
- **Blue/Orange Lines**: Fast and slow EMAs for trend visualization
### **Information Dashboard**
- **Real-Time Statistics**: Live price, ATR, RSI, trend direction, and volume status
- **S&R Level Counter**: Shows active support and resistance levels
- **Consolidation Indicator**: Identifies low-volatility periods
- **Market Condition**: Current trend strength and direction
## ⚙️ **Customizable Parameters**
### **Support & Resistance Settings**
- S&R Period: 5-100 (default: 20)
- S&R Strength: 1-5 (default: 2)
- Maximum S&R Levels: 3-10 (default: 5)
- Visual box display toggle
### **Breakout Configuration**
- Breakout threshold: 0.01%-0.1% (default: 0.02%)
- Volume confirmation on/off
- Minimum consolidation bars: 5-50 (default: 10)
### **Reversal Settings**
- RSI period: 2-50 (default: 14)
- Overbought/oversold levels: customizable
- Stochastic %K and %D periods
### **Scalping Parameters**
- Fast EMA: 3-20 (default: 8)
- Slow EMA: 10-50 (default: 21)
- ATR period and multiplier for risk management
## 🚀 **Best Practices**
### **Optimal Setup**
- **Timeframe**: 5-minute charts (can be adapted for 1m, 3m, 15m)
- **Instrument**: XAUUSD (Gold/USD) - specifically optimized for gold volatility
- **Session**: Best during London and New York overlaps
- **Market Conditions**: Most effective in trending and breakout scenarios
### **Risk Management**
- Use ATR multiplier (1.5x default) for stop-loss placement
- Take profit at 2:1 or 3:1 risk-reward ratios
- Enable volume confirmation for higher-probability trades
- Monitor news events that affect gold prices
### **Signal Interpretation**
- **Strong Signals**: Multiple confirmations (trend + S&R + momentum)
- **Weak Signals**: Single indicator signals during consolidation
- **Exit Strategy**: Use yellow X markers or when price hits opposite EMA
## 📈 **Performance Features**
### **Accuracy Enhancements**
- **Multi-Confirmation System**: Requires multiple technical factors to align
- **False Signal Filtering**: Reduces noise through trend and volume filters
- **Adaptive Levels**: S&R levels update based on recent price action
- **Market Structure Analysis**: Considers overall market context
### **Alert System**
- **Entry Alerts**: Long and short signal notifications
- **Exit Alerts**: Position closure recommendations
- **Level Alerts**: S&R breakout notifications
- **Custom Messages**: Detailed alert information including price and ATR
## 🎨 **Visual Customization**
- Toggle all visual elements on/off
- Customizable colors and transparency
- Adjustable line widths and styles
- Statistics table positioning
- Background coloring for trend identification
## 📋 **Technical Requirements**
- Pine Script v5 compatible
- Maximum 500 boxes and lines for optimal performance
- Real-time data feed recommended
- Works on TradingView Pro, Pro+, and Premium plans
## 🔍 **Unique Selling Points**
1. **XAUUSD Specific**: Optimized parameters for gold's unique volatility patterns
2. **Scalping Focus**: Designed for quick entries and exits with minimal lag
3. **Complete System**: Combines trend, momentum, and S&R analysis
4. **Professional Grade**: Institutional-quality technical analysis
5. **User-Friendly**: Intuitive visual signals with comprehensive customization
## ⚠️ **Disclaimer**
This indicator is a technical analysis tool designed to assist in trading decisions. It should not be used as the sole basis for trading decisions. Always combine with proper risk management, fundamental analysis, and market awareness. Past performance does not guarantee future results. Trading gold (XAUUSD) involves substantial risk and may not be suitable for all investors.
## 🏷️ **Tags**
`XAUUSD` `Gold` `Scalping` `Support` `Resistance` `Breakout` `Reversal` `EMA` `RSI` `Stochastic` `ATR` `Volume` `Alerts` `5min` `Intraday`
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart.
The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions.
How to Use the Indicator
Step 1: Configure Your Settings
Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00)
Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500)
Contract Type: Choose between:
NQ (Regular): $5 per tick - for larger accounts
MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing
Display Options:
Max Lines: Number of distance lines to show (default: 30)
Show Labels: Toggle tick distance and contract count labels
Line Color: Customize the color of distance lines
Label Size: Choose tiny, small, or normal label sizes
Step 2: Read the Visual Display
Once configured, the indicator displays:
Stop Loss Line:
Thick yellow line marking your exact stop loss level
Yellow label showing the stop loss price
Distance Lines:
Dashed red lines at 10-tick intervals above and below your stop loss
Lines appear on both sides for long and short position planning
Labels (if enabled):
Green labels (right side): For long positions above your stop loss
Red labels (left side): For short positions below your stop loss
Format: "20T 5x" means 20 ticks distance, 5 contracts maximum
Step 3: Use the Information Tables
The indicator provides two helpful tables:
Position Size Table (top-right):
Shows common tick distances (10, 20, 40, 80, 160 ticks)
Displays risk per contract at each distance
Contract count for your specified risk amount
Total risk with rounded contract numbers
Settings Table (bottom-right):
Confirms your current risk amount
Shows selected contract type
Displays current settings for quick reference
Step 4: Apply to Your Trading
For Long Positions:
Look at the green labels on the right side of your chart
Find your desired entry level
Read the label to see: distance in ticks and maximum contracts
Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum
For Short Positions:
Look at the red labels on the left side of your chart
Find your desired entry level
Read the label for tick distance and contract count
Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum
Step 5: Trading Execution
Before Entering a Trade:
Identify your stop loss level and input it into the indicator
Choose your entry point by looking at the distance lines
Note the contract count from the corresponding label
Verify the risk amount matches your trading plan
Execute your trade with the calculated position size
Risk Management Features:
Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit
Zero position filtering: Lines only show where position size is at least 1 contract
Dual-sided display: Plan both long and short opportunities simultaneously
BB + RSI & Volume FilterThis script overlays three sets of technical filters on your price chart and generates signals when conditions align:
Bollinger Bands
Calculates upper, middle, and lower bands using either SMA or EMA.
Buy signal when price crosses up through the lower band.
Sell signal when price crosses down through the upper band.
Volume Filter
Computes a simple moving average of volume.
Ensures breakout moves have sufficient volume by requiring current volume > SMA(volume) × multiplier.
RSI Filter
Computes RSI on the chosen source.
Buy when RSI crosses above the oversold threshold.
Sell when RSI crosses below the overbought threshold.
Only plots RSI signals that pass the volume filter.
You get:
Bollinger entry/exit shapes (labeled “BB ↑/↓”).
RSI entry/exit shapes (labeled “RSI”) only when volume confirms the move.
Alerts for each signal type.
This combination reduces false breakouts by requiring both volatility (Bollinger) or momentum (RSI) and volume confirmation