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Signal for Backtesting-Trading Engine [PineCoders]This is a companion script to the PineCoders Backtesting-Trading Engine. It illustrates how to build a signal plot in another script, which can in turn be fed in the Engine to provide entry, exit, filter and stop information. Connection to the Engine is done through its “External Indicator” input field at the very bottom of the Engine’s Settings/Inputs. The Engine must be operating in study mode to be able to connect an external indicator to it. The way this script builds the signal is straightforward, as you will see in the code. Two aspects are worth mentioning: The “FudgeStop()” function used to fudge the stop value by one tick for the rare cases where it will match one of the protocol reserved values, i.e. 1, 2 or 3. The priority and exclusivity given to the different types of signals in the signal-building “Signal = …” line. No two signals can be sent simultaneously through the signal plot, except for the entry and stop combination. You can determine in this script’s Settings/Inputs the type of signals that will go through the signal plot. This script respects the following protocol: EXTERNAL SIGNAL PROTOCOL Only one external indicator can be connected to a script; in order to leverage its use to the fullest, the engine provides options to use it as either an entry signal, an entry/exit signal or a filter. When used as an entry signal, you can also use the signal to provide the entry’s stop. Here’s how this works: For filter state: supply +1 for bull (long entries allowed), -1 for bear (short entries allowed). For entry signals: supply +2 for long, -2 for short. For exit signals: supply +3 for exit from long, -3 for exit from short. To send an entry stop level with an entry signal: Send positive stop level for long entry (e.g. 103.33 to enter a long with a stop at 103.33), negative stop level for short entry (e.g. -103.33 to enter a short with a stop at 103.33). If you use this feature, your indicator will have to check for exact stop levels of 1.0, 2.0 or 3.0 and their negative counterparts, and fudge them with a tick in order to avoid confusion with other signals in the protocol. Remember that mere generation of the values by your indicator will have no effect until you explicitly allow their use in the appropriate sections of the Engine’s Settings/Inputs. Look first. Then leap.
Индикатор Pine Script®
от PineCoders
15
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.
Индикатор Pine Script®
от LucF
7
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
Индикатор Pine Script®
от LonesomeTheBlue
24
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.
Индикатор Pine Script®
от LeanBarba
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... :)
Индикатор Pine Script®
от KenLeShim
SpectreSPECTRE - Precision Reversal Detection System OVERVIEW Spectre is a channel breakout indicator designed to identify high-probability reversal points by combining Donchian channel breaches with momentum confirmation. It generates BUY signals at oversold extremes and SELL signals at overbought extremes, filtered by trend strength to avoid low-conviction setups. This indicator replaces the Regime Engine, which will continue to evolve independently as an experimental platform for testing new strategies and enhancements. Spectre was selected as the production replacement based on extensive backtesting across multiple assets and timeframes, which demonstrated superior win rates compared to alternative sell logic approaches (RSI-based exits outperformed CMO-based exits in 13 of 18 test configurations). SIGNAL LOGIC BUY CONDITIONS (all must be true): Price touches or breaks below Donchian lower band RSI is at or below oversold threshold (default: 35) ADX confirms sufficient trend strength (default: ≥22) BBWP confirms adequate volatility (default: ≥20%) Cooldown period has elapsed since last buy Cascade limit not reached SELL CONDITIONS (all must be true): Price touches or breaks above Donchian upper band RSI is at or above overbought threshold (default: 70) ADX confirms sufficient trend strength (default: ≥22) BBWP confirms adequate volatility (default: ≥20%) Cooldown period has elapsed since last sell Cascade limit not reached Price is not underwater (if protection enabled) KEY FEATURES NON-REPAINTING DONCHIAN CHANNELS Uses previous bar's high/low extremes to prevent signal repainting. What you see in history is what you would have seen in real-time. MULTI-FACTOR CONFIRMATION Signals require agreement between price action (Donchian), momentum (RSI), and trend strength (ADX) to filter out low-quality setups. VOLATILITY FILTER (BBWP) Bollinger Band Width Percentile measures current volatility relative to historical norms. Low BBWP indicates compressed ranges where breakouts are less reliable - signals are blocked until volatility returns. CASCADE PROTECTION Limits consecutive signals in the same direction to prevent overexposure during extended trends. Resets when a signal fires in the opposite direction. UNDERWATER PROTECTION (Unique to Spectre) Tracks average entry price of recent buys and blocks sell signals when price has fallen significantly below this level. This prevents locking in large losses during drawdowns and allows positions to recover before exiting. REGIME DETECTION Visual background shading indicates current market regime based on Directional Indicator spread and On-Balance Volume trend. Green indicates bullish regime (+DI > -DI, OBV rising). Red indicates bearish regime (-DI > +DI, OBV falling). White/Gray indicates neutral or ranging conditions. RECOMMENDED SETTINGS BY TIMEFRAME For 5-minute charts, use RSI Buy 30-35, RSI Sell 70-75, ADX 20-24. For 15-minute charts, use RSI Buy 30-35, RSI Sell 68-72, ADX 22-26. For 30-minute charts (default), use RSI Buy 32-38, RSI Sell 68-72, ADX 22-26. For 1-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 20-24. For 4-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 18-22. These are starting points - optimize for your specific assets. INFO PANEL GUIDE Regime shows current market bias (Bullish/Bearish/Neutral). RSI shows current value with buy/sell threshold status. ADX shows trend strength categorized as Weak (<15), Range (15-24), Trend (24-34), or Strong (>34). BBWP shows volatility percentile with a warning symbol when below minimum. Donchian shows price position relative to channel bands. Avg Buy shows average entry price and underwater status. Cascade shows current consecutive signal counts versus limits. USAGE TIPS Works best in ranging or mean-reverting markets Reduce RSI thresholds in strong trends (tighter = fewer signals) Increase ADX minimum in choppy markets to filter noise Enable underwater protection for swing trading, disable for scalping Use regime background to contextualize signals (buy in green, sell in red) Combine with support/resistance levels for additional confirmation
Индикатор Pine Script®
от ralis24
Order Blocks & ImbalanceThis indicator automatically identifies and plots Order Blocks (also known as Fair Value Gaps or Imbalances) based on Smart Money Concepts (SMC) and ICT methodology. It detects significant price inefficiencies (gaps between candles) that often act as institutional supply or demand zones. How It Works (Technical Methodology) 1. Fair Value Gap (FVG) Detection The indicator identifies classic 3-candle imbalances: - Bullish Order Block (Demand): When the low of the current candle is significantly below the high of the candle two bars ago (low - high ). - Bearish Order Block (Supply): When the high of the current candle is significantly above the low of the candle two bars ago (low - high ). A minimum size threshold is enforced using ATR(14) × user-defined multiplier (default 0.5) to filter out minor gaps and focus on meaningful inefficiencies. 2. Zone Creation - Bullish zones are created at the candle two bars ago (the "origin" candle where inefficiency occurred). - Bearish zones use the same origin candle. - Zone boundaries: Top = high of origin candle Bottom = low of origin candle This captures the full range where price moved aggressively, leaving an imbalance that institutions may later revisit. 3. Mitigation Detection Zones can be mitigated in two ways (user-selectable): - "Close": Zone is considered touched only if the close price enters the zone. - "Wick": Zone is touched if any wick (high/low) enters the zone (more sensitive). When mitigated: - Background becomes more transparent - Border turns dotted - Label changes to "Mitigated" Broken zones (price fully closes beyond the opposite side) are automatically deleted. 4. Zone Lifecycle Management - Active Zone: Strong color fill (green for demand, red for supply) with solid border. - Mitigated Zone: Faded color, dotted border – indicates partial fill or reduced strength. - Broken Zone: Automatically removed from chart to reduce clutter. Old zones are also pruned when exceeding 450 total to maintain performance. 5. Smart Visibility Engine (Optional) When enabled: - All zones are initially hidden. - Only the closest relevant zones are shown: - Up to user-defined limit (default 10) highest bullish zones (closest below price) - Up to user-defined limit (default 10) lowest bearish zones (closest above price) - Visible zones are automatically extended to the right and styled appropriately. This keeps the chart clean while highlighting the most actionable zones near current price. 6. Visual Elements - Demand Zones: Green fill, labeled "OB Demand" - Supply Zones: Red fill, labeled "OB Supply" - Tiny text size to minimize chart clutter - Zones drawn as boxes using bar_index positioning How to Use Order Blocks represent areas of price inefficiency where smart money likely entered/exited positions aggressively. - Demand Zones (Green): Potential long entry areas when price returns. Expect buying pressure to defend these levels. Best setups when price retests an active (non-mitigated) zone. - Supply Zones (Red): Potential short entry areas when price returns. Expect selling pressure to emerge. - Mitigated Zones: Lower probability – may act as weaker support/resistance. - Smart Visibility: Highly recommended for cleaner charts. Focuses attention on zones most likely to be tested soon. - Combine with: - Break of Structure (BOS)/Change of Character (CHOCH) - Liquidity grabs - Higher timeframe confluence - Volume or momentum confirmation Use higher FVG threshold (e.g., 0.8–1.0) for fewer, higher-quality zones. Lower threshold for more aggressive detection. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Индикатор Pine Script®
от s3u1l
My Price Curtain by @magasineMy Price Curtain by @magasine Functional Description My Price Curtain is a high-performance visual analysis tool designed to provide traders with immediate context regarding price positioning relative to institutional benchmarks. Unlike standard moving averages, this indicator creates a "curtain" of data that dynamically colors the chart background and provides real-time performance metrics to identify trend dominance at a glance. Key Features & Differential Value Multi-Method Dynamic Benchmarking: Choose between five different calculation methods: SMA, EMA, WMA, RMA, or a manual Fixed Price. This allows you to switch from a standard technical trend (MA) to a "break-even" or "entry point" analysis (Fixed Price) instantly. Intelligent Visual Feedback: The "Curtain" logic automatically colors the chart background—Green for Bullish dominance and Red for Bearish dominance—reducing cognitive load during fast-paced sessions. Advanced Statistical Tracking: The indicator includes a built-in Performance Table that tracks the percentage of bars closing above or below the selected benchmark. This helps traders quantify the strength of a trend over the entire visible dataset. Precision Labeling & Distance Analysis: A dynamic, color-coded label tracks the price on the Y-axis. It calculates and displays the exact percentage distance from the price to the benchmark in real-time, helping to identify overextended moves. Optional Deviation Zones: Enable visual "Safety Zones" (boxes) that project a user-defined percentage deviation from the average, assisting in identifying potential volatility expansion or exhaustion areas. Trading Utilities Trend Confirmation: Use the background color and "Bars Above" percentage to confirm if you are trading with the path of least resistance. Scalping & Intraday Support: The "Distance" metric is essential for scalpers to avoid entering trades too far from the average (mean reversion risk). Custom Strategy Benchmark: Use the "Fixed Price" mode to set your specific entry price and see your real-time performance and "curtain" status relative to your position.
Индикатор Pine Script®
от magasine
Investment Analysis Bar v2What It Does A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum. Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings. Tier 1 Bar Metrics Margins: GM, OM, NIM, FCF Margin Returns: ROCE, ROE Growth: Revenue YoY, EPS YoY Valuation: PE TTM, Forward PE, PEG Zone: Accumulate / Hold / Trim / Exit Signal: PRIME / BUY / TRIM / SELL / NEUTRAL Performance: 1W to 1Y returns Two Strategy Modes Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA. Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA. Quality Gates System Four fundamental checkpoints: Gross Margin ≥ 40% ROCE ≥ 15% Debt/Equity ≤ 50% SBC/Revenue ≤ 15% Strong signals require quality confirmation. PRIME signals require ALL gates to pass. Zone System Three calculation methods: 52W Range: Accumulate in bottom 25%, Trim in top 25% Manual Levels: Set your own price targets ATR-Based: Dynamic zones from EMA ± ATR Signal Hierarchy (Value Mode) SignalMeaning PRIME 💎Optimal entry - all conditions aligned BUY 🔼Strong accumulation signal BUY? ↗Decent entry, not ideal zone ACCUM 🎯In accumulation zone, quality OK WAIT ⏳Setup forming, no bounce yet TRIM 📤Consider taking profits Alerts Included Zone transitions (Accumulate, Trim, Exit) PRIME Entry Signal Strong Buy / Sell signals Quality Gate failures Quality Accumulation Setup Best Used On US stocks with fundamental data available. Technical features work on all symbols. Settings Fully customizable: Toggle each metric category Adjust quality gate thresholds Choose zone calculation method Configure RSI/volume parameters Position bar and panel anywhere
Индикатор Pine Script®
от olahesselroth
Trend Consensus Engine [TCE]The Trend Consensus Engine (TCE) is a comprehensive market analysis system designed to filter out noise and provide a quantifiable "Trend Score" (0-100). Instead of relying on a single indicator, this script aggregates data from multiple market factors—volatility, momentum, and trend structure—to generate high-probability entry signals based on a consensus logic. This tool is particularly optimized for Crypto (with specific time-gated logic) and BIST (Borsa Istanbul) markets, allowing traders to see the overall health of the trend at a glance via a dashboard. How It Works The engine calculates a composite "Total Score" (0-100) derived from four weighted components: Trend Structure (AlphaTrend & Guppy): Analyzes the slope and position relative to the AlphaTrend (Credit to @KivancOzbilgic) and Guppy Multiple Moving Averages (GMMA). Positive slopes and price action above key levels add points to the score. Volatility & Momentum (Squeeze & ADX): Incorporates the Squeeze Momentum logic (Credit to @LazyBear) to detect explosive moves. ADX Filter: Filters out chopping/ranging markets. If the ADX is too low, the score is penalized or the signal is blocked. Dynamic Resistance (MA Channels): Uses a combination of Donchian Mid-Lines and SMAs to determine if the price is in a "safe zone" or hitting resistance. Price Action Filters (Pinbar Veto): Automatically detects bearish "Shooting Star" or weak candles at highs. If a bearish pinbar is detected, the entry signal is vetoed regardless of the trend score. Features & Settings Smart Scoring Dashboard: Displays the realtime Score, Instant Decision, and confirmed Close Decision on the chart. Market Profiles: Crypto Mode: Includes a "Time Gate" feature (07:00 UTC+3 check) to prevent fakeouts during low-liquidity hours. BIST Mode: Optimized parameters for the Turkish stock market logic (14:00 session checks). Score Threshold: Users can adjust the minimum score required (Default: 70) to trigger a "BUY" signal. Visual Guidance: The background of the dashboard changes color (Green/Red/Yellow) based on the consensus. How to Use Check the Dashboard: Look at the "SONUÇ" (Result) row. GİRİŞ ✅ (ENTRY): The Score is above 70, Momentum is positive, and no Bearish Pinbars are present. BEKLE ⏳ (WAIT): The trend is weak, or a filter (like ADX or Squeeze) is blocking the trade. Confirm with Price Action: Use the AlphaTrend lines (Blue/Red) as dynamic support/stop-loss levels. Credits: AlphaTrend by KivancOzbilgic Squeeze Momentum Indicator by LazyBear VuManChu Cipher concepts for inspiration. Custom Logic: Scoring algorithm and Time-Gating mechanisms are original custom developments. Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Индикатор Pine Script®
от scofield89
Liquidity Void and Repair EngineLiquidity Void & Repair Engine OVERVIEW The Liquidity Void & Repair Engine is a high-fidelity institutional order flow tool designed to identify and track "Market Imbalances" or "Fair Value Gaps" (FVG). Unlike standard gap indicators that clutter the chart with every minor price jump, this engine uses Volatility-Adjusted Range Mapping to isolate high-conviction voids where price moved so rapidly that liquidity was left "unfilled." The standout feature of this tool is its Active Repair Logic. The engine doesn't just draw static boxes; it monitors price action in real-time to determine when an imbalance has been "healed" by subsequent trading volume, providing a dynamic look at where the market has "unfinished business." TECHNICAL LOGIC & ORIGINALITY This script is published Open Source to contribute to the Pine Script community’s understanding of dynamic object management and order flow visualization. ATR-Relative Filtering: To ensure only significant voids are plotted, the script uses a user-defined ATR (Average True Range) multiplier. This filters out market noise and focuses on institutional "impulse" moves. Dynamic Box Management: Utilizing the Pine Script box array system, the script manages memory efficiently by updating existing objects rather than creating redundant ones. The "Repair" Algorithm: The script tracks the high and low of every active void. When price action fully traverses the coordinates of a void, the script "seals" the box, visually marking the moment of liquidity equilibrium. HOW TO USE 1. Identifying the "Magnet" (The Void) When price moves aggressively, it leaves a "hole" in the auction. Bullish Voids (Green): These represent areas where price surged so fast that buyers may still have unfilled orders sitting below. These act as Magnets for pullbacks. Bearish Voids (Red): These represent areas where price plummeted, leaving a vacuum of selling pressure. These act as Magnets for relief rallies. 2. Trading the "Repair" Process The Engine tracks how the market "repairs" these holes: Partial Fill: If price enters a box but doesn't cross it, the "Magnet" is still active. Full Repair: When a box is "sealed" (stops extending right), it indicates the imbalance is gone. If price "Seals" a green box and then bounces, it confirms the zone as Valid Institutional Support. 3. Confluence with the Trend Continuation: In a strong uptrend, look for price to drop into a Green Bullish Void and find support. This is often the "Golden Entry" for trend followers. Reversal Confirmation: If price ignores a Red Bearish Void and blasts right through it (sealing it instantly), it signals a massive shift in market regime and extreme bullish conviction. USER SETTINGS Lookback Period: How far back the engine searches for un-repaired gaps. Min Gap Size (ATR %): Increase this to see only the "Major" institutional gaps; decrease it for a more granular intraday look. Visual Styles: Fully customizable colors and transparency to match any chart theme (Dark/Light). NOTES & DISCLAIMER This script is a visualization of historical price imbalances and is intended for educational purposes only. It does not provide trade signals, entry/exit points, or financial advice. All trading involves risk.
Индикатор Pine Script®
от GammaBulldog
ORB Breakout & RetestORB Breakout & Breakdown Indicator - Complete Opening Range Strategy Description : The ORB (Opening Range Breakout) Breakout & Retest Indicator is a simple tool designed to identify opening range breakouts and breakdowns with retest confirmation. This indicator works on ANY timeframe while automatically analyzing 1-minute price action to detect precise entry signals. What makes this indicator unique: - ✅ Multi-Timeframe ORB Analysis - Simultaneously tracks 5-min, 15-min, and 30-min opening ranges - ✅ Smart Retest Logic - Filters false breakouts by requiring price to retest and confirm the level - ✅ Works on Any Chart Timeframe - View on 5-min, 15-min, 1-hour, or daily charts while getting 1-minute precision - ✅ Both Long & Short Signals - Detects bullish breakouts AND bearish breakdowns - ✅ Customizable Alerts - Get notified when confirmed setups occur - ✅ Clean Visual Display - Compact table showing all ORB levels and signal status How it Works: Opening Range Detection : - 5-Min ORB: Captures high/low from 9:30-9:35 AM - 15-Min ORB: Captures high/low from 9:30-9:45 AM - 30-Min ORB: Captures high/low from 9:30-10:00 AM Breakout Confirmation (3-Step Process) : 1. Initial Break - Price closes above ORB High (or below ORB Low for shorts) 2. Retest - Price pulls back to retest the broken level 3. Confirmation - Price breaks through again, confirming the trend This retest requirement dramatically reduces false signals and helps you enter trades with better risk/reward. Perfect For : - Day traders looking for opening range strategies - Scalpers who need precise entry signals - Swing traders identifying strong intraday momentum - Anyone trading stocks, futures, forex, or crypto during market hours --- ⚙️ Settings & Customization : Display Options : - ☑️ Show ORB High (Default: OFF) - Display the high of each opening range in the table - ☑️ Show ORB Low (Default: OFF) - Display the low of each opening range in the table - ☑️ Show Breakout+Retest (Default: ON) - Show bullish breakout confirmation status - ☑️ Show Breakdown+Retest (Default: ON) - Show bearish breakdown confirmation status Alert Options : - ☑️ Enable 5-Min Alerts (Default: OFF) - Get alerts for 5-minute ORB confirmations - ☑️ Enable 15-Min Alerts (Default: OFF) - Get alerts for 15-minute ORB confirmations - ☑️ Enable 30-Min Alerts (Default: OFF) - Get alerts for 30-minute ORB confirmations Visual Indicators : - Green triangles (▲) below bars = Breakout confirmed (bullish) - Red triangles (▼) above bars = Breakdown confirmed (bearish) - Triangle sizes: Tiny (5-min), Small (15-min), Normal (30-min) --- Table Legend: Timeframe Row: Shows the three ORB periods being tracked ORB High Row: (Optional) The highest price during each opening range period ORB Low Row: (Optional) The lowest price during each opening range period Breakout+Retest Row: - 🟢 YES = Bullish setup confirmed (price broke high, retested, and confirmed) - 🔴 NO = No confirmed bullish setup yet - ⚪ N/A = Opening range not yet established Breakdown+Retest Row: - 🟢 YES = Bearish setup confirmed (price broke low, retested, and confirmed) - 🔴 NO = No confirmed bearish setup yet - ⚪ N/A = Opening range not yet established How to Use : 1. Add to Chart - Works best on stocks, futures, and indices with regular market hours (9:30 AM EST open) 2. Choose Your Timeframe - View on any timeframe; indicator automatically analyzes 1-minute data 3. Monitor the Table - Watch for "YES" signals in Breakout or Breakdown rows 4. Set Alerts - Enable alerts for your preferred ORB timeframes 5. Plan Your Trade - Use ORB levels as entry points and initial stop-loss levels Tips : - Combine multiple timeframe confirmations for higher probability setups - Use ORB High/Low levels as natural support/resistance zones - The 5-min ORB gives faster signals; 30-min ORB gives stronger trends - Best results typically occur in the first 1-2 hours after market open - Works on all markets but optimized for regular trading hours (9:30 AM EST) Key Features Summary : ✓ Multi-timeframe opening range tracking (5, 15, 30-minute) ✓ Retest confirmation logic to filter false breakouts ✓ Works on any chart timeframe with 1-minute precision ✓ Bullish and bearish signal detection ✓ Customizable visual display with toggle options ✓ Individual alerts for each timeframe and direction ✓ Clean, professional table interface ✓ No repainting - signals are final once confirmed ✓ Suitable for all experience levels
Индикатор Pine Script®
от pavankjadda
SuperTrend Weighted by Divergence█ OVERVIEW SuperTrend Weighted by Divergence is a trend-following indicator based on the classic SuperTrend, enhanced with dynamic ATR weighting driven by divergences. Its key feature is adaptive behavior: when a divergence appears, the indicator temporarily reduces the ATR multiplier, allowing the trend line to react faster to potential market reversals. The indicator remains clean, visually clear, and well suited for traders who want to combine trend-following with early detection of weakening momentum. █ CONCEPT One of the biggest drawbacks of trend indicators is their lagging nature, caused by the characteristics of source data. Classic SuperTrends react only after the trend has already developed, which often leads to late entries or exits. The idea behind SuperTrend Weighted by Divergence is to introduce dynamic adjustment of the trend line in response to the first signs of trend weakening. Instead of treating ATR as a constant volatility buffer, the indicator temporarily modifies its impact when the market sends warning signals in the form of price–oscillator divergences. For divergence detection, a hidden auxiliary oscillator called “MPO4 Lines – Modal Engine” (default settings) is used. This oscillator is not displayed on the chart – only the points where divergences are detected are shown as markers on price bars. Divergences do not generate direct entry signals; they are used solely to temporarily adjust the behavior of the SuperTrend. If, after detecting a divergence against the current trend, a divergence in line with the trend appears, the previous divergence is invalidated and the SuperTrend returns to its standard behavior (base ATR multiplier). █ FEATURES Data sources: - ATR (Average True Range) - Reference point: HL2 (high/low average) - MPO4 Lines – Modal Engine oscillator (hidden, used only for divergence detection) Divergence logic: - Bullish divergence: lower low in price + higher low in the oscillator - Bearish divergence: higher high in price + lower high in the oscillator - Divergences are detected using pivots (left/right) - Divergence detection is delayed by the pivot length, as confirmation requires a fixed number of bars on the right side Divergence impact: - After a divergence is detected, the ATR multiplier is reduced - The reduction strength is controlled by Divergence Sensitivity - The effect is active only for a limited number of bars – 200 bars by default (divBars) - The effect is canceled on trend change or when a trend-aligned divergence appears Trend change logic: - Trend changes only after a confirmed close beyond the trailing line - No repainting - Trend lines break at reversal points Visual signals: - “Buy” and “Sell” labels only on confirmed trend changes - Optional bar coloring based on current trend (Color bars by trend) - Soft fill between price and the trend line - Divergence markers (dots above/below bars) shown at the point of divergence detection, not across the entire divergence structure Alerts: - Buy Signal – trend change to bullish - Sell Signal – trend change to bearish - Bullish Divergence - Bearish Divergence █ HOW TO USE Adding the indicator: Paste the code into Pine Editor or search for “SuperTrend Weighted by Divergence” on TradingView Main settings: - ATR Length – ATR period - Base ATR Multiplier – base SuperTrend width - Pivot Length – divergence sensitivity and detection delay - Divergence Sensitivity – strength of divergence impact (0.0–1.0) - Color bars by trend – enable / disable bar coloring - Line and fill colors – fully customizable Interpretation: - Green line and bars = uptrend - Red line and bars = downtrend - Divergence against the trend = possible weakening and faster SuperTrend reaction - Trend-aligned divergence = return to standard SuperTrend behavior - No divergence = classic, stable SuperTrend behavior █ APPLICATIONS Ideal for: - Trend-following Entering positions only in the direction of the current trend, using the SuperTrend as a directional filter. - Early detection of trend weakness Repeated divergences against the trend may indicate decreasing momentum and a potential upcoming reversal. - Markets with variable dynamics (crypto, indices, forex) Entries based on trend changes, preferably confirmed by other tools such as Fibonacci levels, RSI, support/resistance, or market structure. - Scalping, day trading, and swing trading (with parameter adjustments) Increasing Divergence Sensitivity to around 0.4–0.5 produces many more signals on small, often short-lived moves. These settings work well for scalping and day trading, but are not ideal for swing trading, as they tend to generate more false signals and frequent trend changes. █ NOTES - Works on all markets and timeframes - Divergences are used to adapt SuperTrend behavior, not as standalone entry signals - Higher Divergence Sensitivity = faster reaction and more signals - Lower Divergence Sensitivity = smoother trend and fewer changes - Best results are achieved by tuning parameters to the instrument and trading style
Индикатор Pine Script®
от Uncle_the_shooter
10