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Trend Analizi

Metallic Retracement ToolI made a version of the Metallic Retracement script where instead of using automatic zig-zag detection, you get to place the points manually. When you add it to the chart, it prompts you to click on two points. These two points become your swing range, and the indicator calculates all the metallic retracement levels from there and plots them on your chart. You can drag the points around afterwards to adjust the range, or just add the indicator to the chart again to place a completely new set of points. The mathematical foundation is identical to the original Metallic Retracement indicator. You're still working with metallic means, which are the sequence of constants that generalize the golden ratio through the equation x² = kx + 1. When k equals 1, you get the golden ratio. When k equals 2, you get silver. Bronze is 3, and so on forever. Each metallic number generates its own set of retracement ratios by raising alpha to various negative powers, where alpha equals (k + sqrt(k² + 4)) / 2. The script algorithmically calculates these levels instead of hardcoding them, which means you can pick any metallic number you want and instantly get its complete retracement sequence. What's different here is the control. Automatic zig-zag detection is useful when you want the indicator to find swings for you, but sometimes you have a specific price range in mind that doesn't line up with what the zig-zag algorithm considers significant. Maybe you're analyzing a move that's still developing and hasn't triggered the zig-zag's reversal thresholds yet. Maybe you want to measure retracements from an arbitrary high to an arbitrary low that happened weeks apart with tons of noise in between. Manual placement lets you define exactly which two points matter for your analysis without fighting with sensitivity settings or waiting for confirmation. The interactive placement system uses TradingView's built-in drawing tools, so clicking the two points feels natural and works the same way as drawing a trendline or fibonacci retracement. First click sets your starting point, second click sets your ending point, and the indicator immediately calculates the range and draws all the metallic levels extending from whichever point you chose as the origin. If you picked a swing low and then a swing high, you get retracement levels projecting upward. If you went from high to low, they project downward. Moving the points after placement is as simple as grabbing one of them and dragging it to a new location. The retracement levels recalculate in real-time as you move the anchor points, which makes it easy to experiment with different range definitions and see how the levels shift. This is particularly useful when you're trying to figure out which swing points produce retracement levels that line up with other technical features like previous support or resistance zones. You can slide the points around until you find a configuration that makes sense for your analysis. Adding the indicator to the chart multiple times lets you compare different metallic means on the same price range, or analyze multiple ranges simultaneously with different metallic numbers. You could have golden ratio retracements on one major swing and silver ratio retracements on a smaller correction within that swing. Since each instance of the indicator is independent, you can mix and match metallic numbers and ranges however you want without one interfering with the other. The settings work the same way as the original script. You select which metallic number to use, control how many power ratios to display above and below the 1.0 level, and adjust how many complete retracement cycles you want drawn. The levels extend from your manually placed swing points just like they would from automatically detected pivots, showing you where price might react based on whichever metallic mean you've selected. What this version emphasizes is that retracement analysis is subjective in terms of which swing points you consider significant. Automatic detection algorithms make assumptions about what constitutes a meaningful reversal, but those assumptions don't always match your interpretation of the price action. By giving you manual control over point placement, this tool lets you apply metallic retracement concepts to exactly the price ranges you care about, without requiring those ranges to fit someone else's definition of a valid swing. You define the context, the indicator provides the mathematical framework.
Pine Script® göstergesi
The_Peaceful_Lizard tarafından
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy Summary Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts. Scope and intent • Markets: large cap equities and ETFs, index futures, major FX, liquid crypto • Timeframes: one minute to daily • Default demo: BTC on 60 minute • Purpose: faster yet calmer PSAR that resists chop and improves short discipline • Limits: this is a strategy that places simulated orders on standard candles Originality and usefulness • Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias • Addresses false flips in low volatility and weak downtrends • All controls are exposed in Inputs for testability • Yardstick: ATR normalizes drift so settings port across symbols • Open source. No links. No solicitation Method overview Components • Adaptive AF: base step plus boost factor times logistic strength • Trail inertia: one sided blend that keeps the SAR monotone • Flip hysteresis: price must clear SAR by a buffer times ATR • Volatility gate: ATR over its mean must exceed a ratio • Bear bias for shorts: price below EMA of length 91 with negative slope window 54 • Cooldown bars optional after any entry • Visual SAR smoothing is cosmetic and does not drive orders Fusion rule Entry requires the internal flip plus all enabled gates. No weighted scores. Signal rule • Long when trend flips up and close is above SAR plus buffer times ATR and gates pass • Short when trend flips down and close is below SAR minus buffer times ATR and gates pass • Exit uses SAR as stop and optional ATR take profit per side Inputs with guidance Reactor Engine • Start AF 0.02. Lower slows new trends. Higher reacts quicker • Max AF 1. Typical 0.2 to 1. Caps acceleration • Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends • Strength window 18. Typical 10 to 40. Drift estimation window • ATR length 16. Typical 10 to 30. Volatility unit • Strength gain 4.5. Typical 2 to 6. Steepness of logistic • Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic • Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises • AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth • Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail • Allow Long, Allow Short toggles Trade Filters • Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips • Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars • Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes • Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness Risk • TP long ATR 1.0. Set to zero to disable • TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts Usage recipes Intraday trend focus Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime. Intraday mean reversion focus Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated. Swing continuation Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts. Properties visible in this publication Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls. Realism and responsible publication No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles. Honest limitations and failure modes High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips. Open source reuse and credits Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors. Strategy notice Orders are simulated on standard candles. No lookahead. Entries and exits Long: flip up plus ATR buffer and all gates true Short: flip down plus ATR buffer and gates true with bear bias when enabled Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry Tie handling: stop first if both stop and target could fill in one bar
Pine Script® stratejisi
exlux tarafından
ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions. It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚙️ Core Logic -Asia Session: 8:00 PM – 11:59 PM (New York time) -London Session: 2:00 AM – 5:00 AM (New York time) -The script marks the Asia High/Low and London High/Low ranges for each day. -When the market sweeps above a session high → potential Short setup -When the market sweeps below a session low → potential Long setup -A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep). -Only one trade per sweep type (1 per High, 1 per Low) is allowed per session. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 📈 Risk Management -Configurable Risk/Reward Target (default = 2:1) -Configurable Position Size (number of contracts) -Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting. -All trades are automatically logged in the Strategy Tester with performance metrics. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 💡 Features ✅ Visual session highlighting (Asia = Aqua, London = Orange) ✅ Automatic liquidity line plotting (session highs/lows) ✅ Entry & exit labels (optional visual display) ✅ Customizable RR and contract size ✅ Works on any instrument (ideal for indices, futures, or forex) ✅ Compatible with all timeframes (optimized for 1M–15M) ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚠️ Notes -Best used on New York time-based charts. -Designed for educational and backtesting purposes — not financial advice. -Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 🧩 Recommended Use Pair this with: -ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps) -Higher timeframe liquidity maps -Session bias or daily narrative filters ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- Author: jygirouard Strategy Version: 1.3 Type: ICT Liquidity Sweep Automation Timezone: America/New_York
Pine Script® stratejisi
jygirouard tarafından
Volume Surprise [LuxAlgo]The Volume Surprise tool displays the trading volume alongside the expected volume at that time, allowing users to spot unexpected trading activity on the chart easily. The tool includes an extrapolation of the estimated volume for future periods, allowing forecasting future trading activity. 🔶 USAGE We define Volume Surprise as a situation where the actual trading volume deviates significantly from its expected value at a given time. Being able to determine if trading activity is higher or lower than expected allows us to precisely gauge the interest of market participants in specific trends. A histogram constructed from the difference between the volume and expected volume is provided to easily highlight the difference between the two and may be used as a standalone. The tool can also help quantify the impact of specific market events, such as news about an instrument. For example, an important announcement leading to volume below expectations might be a sign of market participants underestimating the impact of the announcement. Like in the example above, it is possible to observe cases where the volume significantly differs from the expected one, which might be interpreted as an anomaly leading to a correction. 🔹 Detecting Rare Trading Activity Expected volume is defined as the mean (or median if we want to limit the impact of outliers) of the volume grouped at a specific point in time. This value depends on grouping volume based on periods, which can be user-defined. However, it is possible to adjust the indicator to overestimate/underestimate expected volume, allowing for highlighting excessively high or low volume at specific times. In order to do this, select "Percentiles" as the summary method, and change the percentiles value to a value that is close to 100 (overestimate expected volume) or to 0 (underestimate expected volume). In the example above, we are only interested in detecting volume that is excessively high, we use the 95th percentile to do so, effectively highlighting when volume is higher than 95% of the volumes recorded at that time. 🔶 DETAILS 🔹 Choosing the Right Periods Our expected volume value depends on grouping volume based on periods, which can be user-defined. For example, if only the hourly period is selected, volumes are grouped by their respective hours. As such, to get the expected volume for the hour 7 PM, we collect and group the historical volumes that occurred at 7 PM and average them to get our expected value at that time. Users are not limited to selecting a single period, and can group volume using a combination of all the available periods. Do note that when on lower timeframes, only having higher periods will lead to less precise expected values. Enabling periods that are too low might prevent grouping. Finally, enabling a lot of periods will, on the other hand, lead to a lot of groups, preventing the ability to get effective expected values. In order to avoid changing periods by navigating across multiple timeframes, an "Auto Selection" setting is provided. 🔹 Group Length The length setting allows controlling the maximum size of a volume group. Using higher lengths will provide an expected value on more historical data, further highlighting recurring patterns. 🔹 Recommended Assets Obtaining the expected volume for a specific period (time of the day, day of the week, quarter, etc) is most effective when on assets showing higher signs of periodicity in their trading activity. This is visible on stocks, futures, and forex pairs, which tend to have a defined, recognizable interval with usually higher trading activity. Assets such as cryptocurrencies will usually not have a clearly defined periodic trading activity, which lowers the validity of forecasts produced by the tool, as well as any conclusions originating from the volume to expected volume comparisons. 🔶 SETTINGS Length: Maximum number of records in a volume group for a specific period. Older values are discarded. Smooth: Period of a SMA used to smooth volume. The smoothing affects the expected value. 🔹 Periods Auto Selection: Automatically choose a practical combination of periods based on the chart timeframe. Custom periods can be used if disabling "Auto Selection". Available periods include: - Minutes - Hours - Days (can be: Day of Week, Day of Month, Day of Year) - Months - Quarters 🔹 Summary Method: Method used to obtain the expected value. Options include Mean (default) or Percentile. Percentile: Percentile number used if "Method" is set to "Percentile". A value of 50 will effectively use a median for the expected value. 🔹 Forecast Forecast Window: Number of bars ahead for which the expected volume is predicted. Style: Style settings of the forecast.
Pine Script® göstergesi
LuxAlgo tarafından
5
Pivot Regime Anchored VWAP [CHE] Pivot Regime Anchored VWAP — Detects body-based pivot regimes to classify swing highs and lows, anchoring volume-weighted average price lines directly at higher highs and lower lows for adaptive reference levels. Summary This indicator identifies shifts between top and bottom regimes through breakouts in candle body highs and lows, labeling swing points as higher highs, lower highs, lower lows, or higher lows. It then draws anchored volume-weighted average price lines starting from the most recent higher high and lower low, providing dynamic support and resistance that evolve with volume flow. These anchored lines differ from standard volume-weighted averages by resetting only at confirmed swing extremes, reducing noise in ranging markets while highlighting momentum shifts in trends. Motivation: Why this design? Traders often struggle with static reference lines that fail to adapt to changing market structures, leading to false breaks in volatile conditions or missed continuations in trends. By anchoring volume-weighted average price calculations to body pivot regimes—specifically at higher highs for resistance and lower lows for support—this design creates reference levels tied directly to price structure extremes. This approach addresses the problem of generic moving averages lagging behind swing confirmations, offering a more context-aware tool for intraday or swing trading. What’s different vs. standard approaches? - Baseline reference: Traditional volume-weighted average price indicators compute a running total from session start or fixed periods, often ignoring price structure. - Architecture differences: - Regime detection via body breakout logic switches between high and low focus dynamically. - Anchoring limited to confirmed higher highs and lower lows, with historical recalculation for accurate line drawing. - Polyline rendering rebuilds only on the last bar to manage performance. - Practical effect: Charts show fewer, more meaningful lines that start at swing points, making it easier to spot confluences with structure breaks rather than cluttered overlays from continuous calculations. How it works (technical) The indicator first calculates the maximum and minimum of each candle's open and close to define body highs and lows. It then scans a lookback window for the highest body high and lowest body low. A top regime triggers when the body high from the lookback period exceeds the window's highest, and a bottom regime when the body low falls below the window's lowest. These regime shifts confirm pivots only when crossing from one state to the other. For top pivots, it compares the new body high against the previous swing high: if greater, it marks a higher high and anchors a new line; otherwise, a lower high. The same logic applies inversely for bottom pivots. Anchored lines use cumulative price-volume products and volumes from the anchor bar onward, subtracting prior cumulatives to isolate the segment. On pivot confirmation, it loops backward from the current bar to the anchor, computing and storing points for the line. New points append as bars advance, ensuring the line reflects ongoing volume weighting. Initialization uses persistent variables to track the last swing values and anchor bars, starting with neutral states. Data flows from regime detection to pivot classification, then to anchoring and point accumulation, with lines rendered globally on the final bar. Parameter Guide Pivot Length — Controls the lookback window for detecting body breakouts, influencing pivot frequency and sensitivity to recent action. Shorter values catch more pivots in choppy conditions; longer smooths for major swings. Default: 30 (bars). Trade-offs/Tips: Min 1; for intraday, try 10–20 to reduce lag but watch for noise; on daily, 50+ for stability. Show Pivot Labels — Toggles display of text markers at swing points, aiding quick identification of higher highs, lower highs, lower lows, or higher lows. Default: true. Trade-offs/Tips: Disable in multi-indicator setups to declutter; useful for backtesting structure. HH Color — Sets the line and label color for higher high anchored lines, distinguishing resistance levels. Default: Red (solid). Trade-offs/Tips: Choose contrasting hues for dark/light themes; pair with opacity for fills if added later. LL Color — Sets the line and label color for lower low anchored lines, distinguishing support levels. Default: Lime (solid). Trade-offs/Tips: As above; green shades work well for bullish contexts without overpowering candles. Reading & Interpretation Higher high labels and red lines indicate potential resistance zones where volume weighting begins at a new swing top, suggesting sellers may defend prior highs. Lower low labels and lime lines mark support from a fresh swing bottom, with the line's slope reflecting buyer commitment via volume. Lower highs or higher lows appear as labels without new anchors, signaling possible range-bound action. Line proximity to price shows overextension; crosses may hint at regime shifts, but confirm with volume spikes. Practical Workflows & Combinations - Trend following: Enter longs above a rising lower low anchored line after higher low confirmation; filter with rising higher highs for uptrends. Use line breaks as trailing stops. - Exits/Stops: In downtrends, exit shorts below a higher high line; set aggressive stops above it for scalps, conservative below for swings. Pair with momentum oscillators for divergence. - Multi-asset/Multi-TF: Defaults suit forex/stocks on 1H–4H; on crypto 15M, shorten length to 15. Scale colors for dark themes; combine with higher timeframe anchors for confluence. Behavior, Constraints & Performance Closed-bar logic ensures pivots confirm after the lookback period, with no repainting on historical bars—live bars may adjust until regime shift. No higher timeframe calls, so minimal repaint risk beyond standard delays. Resources include a 2000-bar history limit, label/polyline caps at 200/50, and loops for historical point filling (up to current bar count from anchor, typically under 500 iterations). Known limits: In extreme gaps or low-volume periods, anchors may skew; lines absent until first pivots. Sensible Defaults & Quick Tuning Start with the 30-bar length for balanced pivot detection across most assets. For too-frequent pivots in ranges, increase to 50 for fewer signals. If lines lag in trends, reduce to 20 and enable labels for visual cues. In low-volatility assets, widen color contrasts; test on 100-bar history to verify stability. What this indicator is—and isn’t This is a structure-aware visualization layer for anchoring volume-weighted references at swing extremes, enhancing manual analysis of regimes and levels. It is not a standalone signal generator or predictive model—always integrate with broader context like order flow or news. Use alongside risk management and position sizing, not as isolated buy/sell triggers. Many thanks to LuxAlgo for the original script "McDonald's Pattern ". The implementation for body pivots instead of wicks uses a = max(open, close), b = min(open, close) and then highest(a, length) / lowest(b, length). This filters noise from the wicks and detects breakouts over/under bodies. Unusual and targeted, super innovative. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® göstergesi
chervolino tarafından
Turtle soupHi all! This indicator will show you turtle soups. The logic is that pivots detected from a higher timeframe, with the pivot lengths of left and right in the settings, will be up for 'grabs' by price that spents more than one candle above/below the pivot. If only one candle is beyond the pivot it's a liquidity sweep or grab. Liquidity sweeps can be discovered through my script 'Market structure' (), but this script will discover turtle soup entries with false breakouts that takes liquidity. The turtle soup can have a confirmation in the terms of a change of character (CHoCH). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD). Turtle soups (pivots that have been 'taken') within a turtle soup will also be visible (but not have a turtle). Alerts are available for when a turtle soup setup occurs and you can set the alert frequency of your liking (to get early signals with a script that might repaint or wait for a closed candle). I hope that this description makes sense, tell me otherwise. Also tell me if you have any improvements or feature requests. Best of trading luck! The chart in the publication contains a 4 hour chart with a daily timeframe and confirmations with CHoCH.
Pine Script® göstergesi
mickes tarafından
4
Dynamic Market Structure (MTF) - Dow TheoryDynamic Market Structure (MTF) OVERVIEW This advanced indicator provides a comprehensive and fully customizable solution for analyzing market structure based on classic Dow Theory principles. It automates the identification of key structural points, including Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH). Going beyond simple pivot detection, this tool visualizes the flow of the trend by plotting dynamic Breaks of Structure (BOS) and potential reversals with Changes of Character (CHoCH). It is designed to be a flexible and powerful tool for traders who use price action and trend analysis as a core part of their strategy. CORE CONCEPTS The indicator is built on the foundational principles of Dow Theory: Uptrend: A series of Higher Highs and Higher Lows. Downtrend: A series of Lower Lows and Lower Highs. Break of Structure (BOS): Occurs when price action continues the current trend by creating a new HH in an uptrend or a new LL in a downtrend. Change of Character (CHoCH): Occurs when the established trend sequence is broken, signaling a potential reversal. For example, when a Lower Low forms after a series of Higher Highs. CALCULATION METHODOLOGY This section explains the indicator's underlying logic: Pivot Detection: The indicator's core logic is based on TradingView's built-in ta.pivothigh() and ta.pivotlow() functions. The sensitivity of this detection is fully controlled by the user via the Pivot Lookback Left and Pivot Lookback Right settings. Structure Calculation (BOS/CHoCH): The script identifies market structure by analyzing the sequence of these confirmed pivots. A bullish BOS is plotted when a new ta.pivothigh is confirmed at a price higher than the previous confirmed ta.pivothigh. A bearish CHoCH is plotted when a new ta.pivotlow is confirmed at a price lower than the previous confirmed ta.pivotlow , breaking the established sequence of higher lows. The logic is mirrored for bearish BOS and bullish CHoCH. Invalidation Levels: This feature identifies the last confirmed pivot before a structure break (e.g., the last ta.pivotlow before a bullish BOS) and plots a dotted line from it to the breakout bar. This level is considered the structural invalidation point for that move. MTF Confirmation: This unique feature provides confluence by analyzing a second, lower timeframe. When a pivot (e.g., a Higher Low) is confirmed on the main chart, the script requests pivot data from the user-selected lower timeframe. If a corresponding trend reversal is detected on that lower timeframe (e.g., a break of its own minor downtrend), the pivot is labeled "Firm" (FHL); otherwise, it is labeled "Soft" (SHL). KEY FEATURES This indicator is packed with advanced features designed to provide a deeper level of market insight: Dynamic Structure Lines: BOS and CHoCH levels are plotted with clean, dashed lines that dynamically start at the old pivot and terminate precisely at the breakout bar, keeping the chart clean and precise. Invalidation Levels: For every structure break, the indicator can plot a dotted "Invalidation" line (INV). This marks the critical support or resistance pivot that, if broken, would negate the previous move, providing a clear reference for risk management. Multi-Timeframe (MTF) Confirmation: Add a layer of confluence to your analysis by confirming pivots on a lower timeframe. The indicator can label Higher Lows and Lower Highs as either "Firm" (FHL/FLH) if confirmed by a reversal on a lower timeframe, or "Soft" (SHL/SLH) if not. Flexible Pivot Detection: Fully adjustable Pivot Lookback settings for the left and right sides allow you to tune the indicator's sensitivity to match any timeframe or trading style, from long-term investing to short-term scalping. Full Customization: Take complete control of the indicator's appearance. A dedicated style menu allows you to customize the colors for all bullish, bearish, and reversal elements, including the transparency of the trend-based candle coloring. HOW TO USE Trend Identification: Use the sequence of HH/HL and LL/LH, along with the trend-colored candles, to quickly assess the current market direction on any timeframe. Entry Signals: A confirmed BOS can signal a potential entry in the direction of the trend. A CHoCH can signal a potential reversal, offering an opportunity to enter a new trend early. Risk Management: Use the automatically plotted "Invalidation" (INV) lines as a logical reference point for placing stop losses. A break of this level indicates that the structure you were trading has failed. Confluence: Use the "Firm" pivot signals from the MTF analysis to identify high-probability swing points that are supported by price action on multiple timeframes. SETTINGS BREAKDOWN Pivot Lookback Left/Right: Controls the sensitivity of pivot detection. Higher numbers find more significant (but fewer) pivots. MTF Confirmation: Enable/disable the "Firm" vs. "Soft" pivot analysis and select your preferred lower timeframe for confirmation. Style Settings: Customize all colors and the transparency of the candle coloring to match your chart's theme. Show Invalidation Levels: Toggle the visibility of the dotted invalidation lines. This indicator is a powerful tool for visualizing and trading with the trend. Experiment with the settings to find a configuration that best fits your personal trading strategy.
Pine Script® göstergesi
Leree123 tarafından
2
Realtime RenkoI've been working on real-time renko for a while as a coding challenge. The interesting problem here is building renko bricks that form based on incoming tick data rather than waiting for bar closes. Every tick that comes through gets processed immediately, and when price moves enough to complete a brick, that brick closes and a new one opens right then. It's just neat because you can run it and it updates as you'd expect with renko, forming bricks based purely on price movement happening in real time rather than waiting for arbitrary time intervals to pass. The three brick sizing methods give you flexibility in how you define "enough movement" to form a new brick. Traditional renko uses a fixed price range, so if you set it to 10 ticks, every brick represents exactly 10 ticks of movement. This works well for instruments with stable tick sizes and predictable volatility. ATR-based sizing calculates the average true range once at startup using a weighted average across all historical bars, then divides that by your brick value input. If you want bricks that are one full ATR in size, you'd use a brick value of 1. If you want half-ATR bricks, use 2. This inverted relationship exists because the calculation is ATR divided by your input, which lets you work with multiples and fractions intuitively. Percentage-based sizing makes each brick a fixed percentage move from the previous brick's close, which automatically scales with price level and works well for instruments that move proportionally rather than in absolute tick increments. The best part about this implementation is how it uses varip for state management. When you first load the indicator, there's no history at all. Everything starts fresh from the moment you add it to your chart because varip variables only exist in real-time. This means you're watching actual renko bricks form from real tick data as it arrives. The indicator builds its own internal history as it runs, storing up to 250 completed bricks in memory, but that history only exists for the current session. Refresh the page or reload the indicator and it starts over from scratch. The visual implementation uses boxes for brick bodies and lines for wicks, drawn at offset bar indices to create the appearance of a continuous renko chart in the indicator pane. Each brick occupies two bar index positions horizontally, which spaces them out and makes the chart readable. The current brick updates in real time as new ticks arrive, with its high, low, and close values adjusting continuously until it reaches the threshold to close and become finalized. Once a brick closes, it gets pushed into the history array and a new brick opens at the closing level of the previous one. What makes this especially useful for debugging and analysis are the hover tooltips on each brick. Clicking on any brick brings up information showing when it opened with millisecond precision, how long it took to form from open to close, its internal bar index within the renko sequence, and the brick size being used. That time delta measurement is particularly valuable because it reveals the pace of price movement. A brick that forms in five seconds indicates very different market conditions than one that takes three minutes, even though both bricks represent the same amount of price movement. You can spot acceleration and deceleration in trend development by watching how quickly consecutive bricks form. The pine logs that generate when bricks close serve as breadcrumbs back to the main chart. Every time a brick finalizes, the indicator writes a log entry with the same information shown in the tooltip. You can click that log entry and TradingView jumps your main chart to the exact timestamp when that brick closed. This lets you correlate renko brick formation with what was happening on the time-based chart, which is critical for understanding context. A brick that closed during a major news announcement or at a key support level tells a different story than one that closed during quiet drift, and the logs make it trivial to investigate those situations. The internal bar indexing system maintains a separate count from the chart's bar_index, giving each renko brick its own sequential number starting from when the indicator begins running. This makes it easy to reference specific bricks in your analysis or when discussing patterns with others. The internal index increments only when a brick closes, so it's a pure measure of how many bricks have formed regardless of how much chart time has passed. You can match these indices between the visual bricks and the log entries, which helps when you're trying to track down the details of a specific brick that caught your attention. Brick overshoot handling ensures that when price blows through the threshold level instead of just barely touching it, the brick closes at the threshold and the excess movement carries over to the next brick. This prevents gaps in the renko sequence and maintains the integrity of the brick sizing. If price shoots up through your bullish threshold and keeps going, the current brick closes at exactly the threshold level and the new brick opens there with the overshoot already baked into its initial high. Without this logic, you'd get renko bricks with irregular sizes whenever price moved aggressively, which would undermine the whole point of using fixed-range bricks. The timezone setting lets you adjust timestamps to your local time or whatever reference you prefer, which matters when you're analyzing logs or comparing brick formation times across different sessions. The time delta formatter converts raw milliseconds into human-readable strings showing days, hours, minutes, and seconds with fractional precision. This makes it immediately clear whether a brick took 12.3 seconds or 2 minutes and 15 seconds to form, without having to parse millisecond values mentally. This is the script version that will eventually be integrated into my real-time candles library. The library version had an issue with tooltips not displaying correctly, which this implementation fixes by using a different approach to label creation and positioning. Running it as a standalone indicator also gives you more control over the visual settings and makes it easier to experiment with different brick sizing methods without affecting other tools that might be using the library version. What this really demonstrates is that real-time indicators in Pine Script require thinking about state management and tick processing differently than historical indicators. Most indicator code assumes bars are immutable once closed, so you can reference `close ` and know that value will never change. Real-time renko throws that assumption out because the current brick is constantly mutating with every tick until it closes. Using varip for state variables and carefully tracking what belongs to finalized bricks versus the developing brick makes it possible to maintain consistency while still updating smoothly in real-time. The fact that there's no historical reconstruction and everything starts fresh when you load it is actually a feature, not a limitation, because you're seeing genuine real-time brick formation rather than some approximation of what might have happened in the past.
Pine Script® göstergesi
The_Peaceful_Lizard tarafından
8
AUTOMATIC ANALYSIS MODULE🧭 Overview “Automatic Analysis Module” is a professional, multi-indicator system that interprets market conditions in real time using TSI, RSI, and ATR metrics. It automatically detects trend reversals, volatility compressions, and momentum exhaustion, helping traders identify high-probability setups without manual analysis. ⚙️ Core Logic The script continuously evaluates: TSI (True Strength Index) → trend direction, strength, and early reversal zones. RSI (Relative Strength Index) → momentum extremes and technical divergences. ATR (Average True Range) → volatility expansion or compression phases. Multi-timeframe ATR comparison → detects whether the weekly structure supports or contradicts the local move. The system combines these signals to produce an automatic interpretation displayed directly on the chart. 📊 Interpretation Table At every new bar close, the indicator updates a compact dashboard (bottom right corner) showing: 🔵 Main interpretation → trend, reversal, exhaustion, or trap scenario. 🟢 Micro ATR context → volatility check and flow analysis (stable / expanding / contracting). Each condition is expressed in plain English for quick decision-making — ideal for professional traders who manage multiple charts. 📈 How to Use 1️⃣ Load the indicator on your preferred asset and timeframe (recommended: Daily or 4H). 2️⃣ Watch the blue line message for the main trend interpretation. 3️⃣ Use the green line message as a volatility gauge before entering. 4️⃣ Confirm entries with your own strategy or price structure. Typical examples: “Possible bullish reversal” → early accumulation signal. “Compression phase → wait for breakout” → avoid premature trades. “Confirmed uptrend” → trend continuation zone. ⚡ Key Features Real-time auto-interpretation of TSI/RSI/ATR signals. Detects both bull/bear traps and trend exhaustion zones. Highlights volatility transitions before breakouts occur. Works across all assets and timeframes. No repainting — stable on historical data. ✅ Ideal For Swing traders, position traders, and institutional analysts who want automated context recognition instead of manual indicator reading.
Pine Script® göstergesi
LanfryBil tarafından
Constant Auto Trendlines (Extended Right)📈 Constant Auto Trendlines (Extended Right) This indicator automatically detects market structure by connecting swing highs and lows with permanent, forward-projecting trendlines. Unlike standard trendline tools that stop at the last pivot, this version extends each trendline infinitely into the future — helping traders visualize where price may react next. 🔍 How It Works The script identifies pivot highs and lows using user-defined left/right bar counts. When a new lower high or higher low appears, the indicator draws a line between the two pivots and extends it forward using extend.right. Each new confirmed trendline stays fixed, creating a historical map of structure that evolves naturally with market action. Optional filters: Min Slope – ignore nearly flat trendlines Show Latest Only – focus on the most relevant trendline Alerts – get notified when price crosses the most recent uptrend or downtrend line 🧩 Why It’s Useful This tool helps traders: Spot emerging trends early Identify dynamic support/resistance diagonals Avoid redrawing trendlines manually Backtest structure breaks historically ⚙️ Inputs Pivot Left / Right bars Min slope threshold Line color, width, and style Show only latest line toggle Alert options
Pine Script® göstergesi
rrtaker86 tarafından
1
HTF Candles with PVSRA Volume Coloring (PCS Series)This indicator displays higher timeframe (HTF) candles using a PVSRA-inspired color model that blends price and volume strength, allowing traders to visualize higher-timeframe activity directly on lower-timeframe charts without switching screens. OVERVIEW This script visualizes higher-timeframe (HTF) candles directly on lower-timeframe charts using a custom PVSRA (Price, Volume & Support/Resistance Analysis) color model. Unlike standard HTF indicators, it aggregates real-time OHLC and volume data bar-by-bar and dynamically draws synthetic HTF candles that update as the higher-timeframe bar evolves. This allows traders to interpret momentum, trend continuation, and volume pressure from broader market structures without switching charts. INTEGRATION LOGIC This script merges higher-timeframe candle projection with PVSRA volume analysis to provide a single, multi-timeframe momentum view. The HTF structure reveals directional context, while PVSRA coloring exposes the underlying strength of buying and selling pressure. By combining both, traders can see when a higher-timeframe candle is building with strong or weak volume, enabling more informed intraday decisions than either tool could offer alone. HOW IT WORKS Aggregates price data : Groups lower-timeframe bars to calculate higher-timeframe Open, High, Low, Close, and total Volume. Applies PVSRA logic : Compares each HTF candle’s volume to the average of the last 10 bars:   • >200% of average = strong activity   • >150% of average = moderate activity   • ≤150% = normal activity Assigns colors :   • Green/Blue = bullish high-volume   • Red/Fuchsia = bearish high-volume   • White/Gray = neutral or low-volume moves Draws dynamic outlines : Outlines update live while the current HTF candle is forming. Supports symbol override : Calculations can use another instrument for correlation analysis. This multi-timeframe aggregation avoids repainting issues in request.security() and ensures accurate real-time HTF representation. FEATURES Dual HTF Display : Visualize two higher timeframes simultaneously (e.g., 4H and 1D). Dynamic PVSRA Coloring : Volume-weighted candle colors reveal bullish or bearish dominance. Customizable Layout : Adjust candle width, spacing, offset, and color schemes. Candle Outlines : Highlight the forming HTF candle to monitor developing structure. Symbol Override : Display HTF candles from another instrument for cross-analysis. SETTINGS HTF 1 & HTF 2 : enable/disable, set timeframes, choose label colors, show/hide outlines. Number of Candles : choose how many HTF candles to plot (1–10). Offset Position : distance to the right of the current price where HTF candles begin. Spacing & Width : adjust separation and scaling of candle groups. Show Wicks/Borders : toggle wick and border visibility. PVSRA Colors : enable or disable volume-based coloring. Symbol Override : use a secondary ticker for HTF data if desired. USAGE TIPS Set the indicator’s visual order to “Bring to front.” Always choose HTFs higher than your active chart timeframe. Use PVSRA colors to identify strong momentum and potential reversals. Adjust candle spacing and width for your chart layout. Outlines are not shown on chart timeframes below 5 minutes. TRADING STRATEGY Strategy Overview : Combine HTF structure and PVSRA volume signals to  • Identify zones of high institutional activity and potential reversals.  • Wait for confirmation through consolidation or a pullback to key levels.  • Trade in alignment with dominant higher-timeframe structure rather than chasing volatility. Setup :  • Chart timeframe: lower (5m, 15m, 1H)  • HTF 1: 4H or 1D  • HTF 2: 1D or 1W  • PVSRA Colors: enabled  • Outlines: enabled Entry Concept : High-volume candles (green or red) often indicate market-maker activity , such zones often reflect liquidity absorption by larger players and are not necessarily ideal entry points. Wait for the next consolidation or pullback toward a support or resistance level before acting. Bullish scenario :  • After a high-volume or rejection candle near a low, price consolidates and forms a higher low.  • Enter long only when structure confirms strength above support. Bearish scenario :  • After a high-volume or rejection candle near a top, price consolidates and forms a lower high.  • Enter short once resistance holds and momentum weakens. Exit Guidelines :  • Exit when next HTF candle shifts in color or momentum fades.  • Exit if price structure breaks opposite to your trade direction.  • Always use stop-loss and take-profit levels. Additional Tips :  • Never enter directly on strong green/red high-volume candles, these are usually areas of institutional absorption.  • Wait for market structure confirmation and volume normalization.  • Combine with RSI, moving averages, or support/resistance for timing.  • Avoid trading when HTF candles are mixed or low-volume (unclear bias).  • Outlines hidden below 5m charts. Risk Management :  • Use stop-loss and take-profit on all positions.  • Limit risk to 1–2% per trade.  • Adjust position size for volatility. FINAL NOTES This script helps traders synchronize lower-timeframe execution with higher-timeframe momentum and volume dynamics. Test it on demo before live use, and adjust settings to fit your trading style. DISCLAIMER This script is for educational purposes only and does not constitute financial advice. SUPPORT & UPDATES Future improvements may include alert conditions and additional visualization modes. Feedback is welcome in the comments section. CREDITS & LICENSE Created by @seoco — open source for community learning. Licensed under Mozilla Public License 2.0 .
Pine Script® göstergesi
seoco tarafından
4
Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse Overview: The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions. Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength. ⚙️ Calculation Logic: The Hyper Strength Index is computed as the normalized average of: 📈 RSI — classic measure of relative momentum. 💪 CMO — captures directional bias and intensity of moves. 💵 MFI — integrates volume and money flow pressure. 🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points. This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator. 🎯 Interpretation: Overbought Zone (Default: > 75): Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow. Oversold Zone (Default: < 7): Suggests bearish exhaustion — a rebound or accumulation phase may emerge. Neutral Zone (Between 7 and 75): Represents balanced market conditions or trend continuation phases. Visual cues highlight key conditions: 🔺 Red Highlights — Overbought regions or downward inflection points. 🔻 Green Highlights — Oversold regions or upward inflection points. Neutral zones are shaded with subtle gray backgrounds for clarity. 💡 Key Features: 🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI). 🔹 Adaptive overbought/oversold detection. 🔹 Visual alerts via colored backgrounds and bar markers. 🔹 Customizable smoothing and length parameters for fine-tuning sensitivity. 🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups. 🧭 Usage Notes: Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX. In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals. In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades. 📘 Summary: The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
Pine Script® göstergesi
QuantLapse tarafından
Relative Performance Tracker [QuantAlgo]🟢 Overview The Relative Performance Tracker is a multi-asset comparison tool designed to monitor and rank up to 30 different tickers simultaneously based on their relative price performance. This indicator enables traders and investors to quickly identify market leaders and laggards across their watchlist, facilitating rotation strategies, strength-based trading decisions, and cross-asset momentum analysis. 🟢 Key Features 1. Multi-Asset Monitoring Track up to 30 tickers across any market (stocks, crypto, forex, commodities, indices) Individual enable/disable toggles for each ticker to customize your watchlist Universal compatibility with any TradingView symbol format (EXCHANGE:TICKER) 2. Ranking Tables (Up to 3 Tables) Each ticker's percentage change over your chosen lookback period, calculated as: (Current Price - Past Price) / Past Price × 100 Automatic sorting from strongest to weakest performers Rank: Position from 1-30 (1 = strongest performer) Ticker: Symbol name with color-coded background (green for gains, red for losses) % Change: Exact percentage with color intensity matching magnitude For example, Rank #1 has the highest gain among all enabled tickers, Rank #30 has the lowest (or most negative) return. 3. Histogram Visualization Adjustable bar count: Display anywhere from 1 to 30 top-ranked tickers (user customizable) Bar height = magnitude of percentage change. Bars extend upward for gains, downward for losses. Taller bars = larger moves. Green bars for positive returns, red for negative returns. 4. Customizable Color Schemes Classic: Traditional green/red for intuitive interpretation Aqua: Blue/orange combination for reduced eye strain Cosmic: Vibrant aqua/purple optimized for dark mode Custom: Full personalization of positive and negative colors 5. Built-In Ranking Alerts Six alert conditions detect when rankings change: Top 1 Changed: New #1 leader emerges Top 3/5/10/15/20 Changed: Shifts within those tiers 🟢 Practical Applications → Momentum Trading: Focus on top-ranked assets (Rank 1-10) that show strongest relative strength for trend-following strategies → Market Breadth Analysis: Monitor how many tickers are above vs. below zero on the histogram to gauge overall market health → Divergence Spotting: Identify when previously leading assets lose momentum (drop out of top ranks) as potential trend reversal signals → Multi-Timeframe Analysis: Use different lookback periods on different charts to align short-term and long-term relative strength → Customized Focus: Adjust histogram bars to show only top 5-10 strongest movers for concentrated analysis, or expand to 20-30 for comprehensive overview
Pine Script® göstergesi
QuantAlgo tarafından
2
Flip to GreenPurpose: This indicator applies a Lorentzian-distance–based machine-learning model to classify market conditions and highlight probable momentum shifts. Where traditional indicators react to price movement, this one uses statistical pattern recognition to predict when momentum is likely to flip direction — the classic “flip to green” signal. Concept: Financial markets don’t move linearly; they bend and distort around major catalysts (news, FOMC meetings, earnings, etc.) in a way similar to how gravity warps space-time. This indicator accounts for that distortion by measuring distance in Lorentzian space instead of the usual Euclidean space. In simple terms: it adapts to volatility “warping,” allowing the model to detect structural momentum changes that normal math misses. Core logic: Imports two custom libraries: MLExtensions for machine-learning utilities KernelFunctions for advanced distance calculations Computes relationships among multiple features (e.g., RSI, ADX, or other inputs). Uses Lorentzian geometry to weight how recent price-time behavior influences current classification. Outputs a visual “flip” cue when the probability of trend reversal exceeds threshold confidence. Why it matters: Most indicators measure what has already happened. Lorentzian Classification attempts to capture what’s about to happen by comparing the present market state to a trained historical distribution under warped “price-time” geometry. It’s particularly useful for spotting early accumulation or exhaustion zones before they become obvious on standard momentum tools. Recommended use: Run it as a background trend classifier or color overlay. Combine it with volume-based confirmation tools (e.g., Dollar Volume Ownership Gauge) and structural analysis. A “flip to green” suggests buyers are regaining control; a fade or flip to red implies control returning to sellers.
Pine Script® göstergesi
Mando4_27 tarafından
Dollar Volume Ownership GaugePurpose: DVOG tracks the real money moving through a ticker by converting share volume into dollar volume (price × volume). It helps identify when institutional-sized players enter, defend, or unload positions — information that plain volume bars often hide. How it works: Each bar represents 4-minute aggregated dollar volume. Green bars = moderate sponsorship ($400 K–$1 M per 4 min). Red bars = heavy sponsorship ($1 M+ per 4 min). Black bars = normal retail flow (under $400 K). Optional horizontal guides mark both thresholds for quick reference. Alerts: Green Bar Alert: fires every time a bar exceeds $400 K, signaling fresh institutional activity. Cross Alerts: trigger once when dollar volume crosses the $400 K or $1 M levels, perfect for automation or notifications. Why it’s useful: DVOG visually confirms when a breakout, knife-and-reclaim, or coil is being driven by real capital rather than low-liquidity noise. It turns abstract volume into a direct measure of who’s actually in control. Recommended use: Run it in a separate pane below price. Combine with your normal structure analysis — higher lows, double bottoms, coils, etc. — and act only when structure and sponsorship line up.
Pine Script® göstergesi
Mando4_27 tarafından
DayTrader Plug and Play Score Strategy HSBeen playing around with automating a strategy and to make something more flexible in updating indicators/ risk reward scenarios. I Trade on 5 min timeframe choosing stocks from a day trading scanner I use to evaluate premarket movement. This script take into account short term EMA crossovers, VWAP, RSI, Candlesticks, and previous day S/R lines to determine buy/sell points. It Mostly runs on a VWAP strategy and will only buy when price is above VWAP and only sell when price is below VWAP. But uses the other indicators as more confirmations. All of these indicators come together to form a score 1-8.5 and gives buy/sell signals based on the score. Strategy is as below: My Stock scanner gives me anywhere from 3-5 stocks per day to trade. (Not included) Strategy will only trade once per day per stock. Strategy closes positions after 2 hours in the market. Strategy closes all positions 5 min before end of day close. Trade size is set to 1% of the account size. The risk is 2% of that trade, reward is 4%. Score threshold for hitting the indicator threshold is set to 5.5 score ^^This is all editable in the script. After building and testing an rebuilding for a few months this has been my most profitable strategy in PAPER TRADING so I thought id share. I enjoy this kind of tinkering and scenario testing. Enjoy!
Pine Script® stratejisi
hjsaliski tarafından
Triple Stochastic RSITriple Stochastic RSI (TSRSI) The Triple Stochastic RSI is a momentum visualization tool designed to help identify potential market tops and bottoms with greater clarity. This indicator stacks three layers of smoothed StochRSI — Fast , Slow , and Slowest — each derived from increasingly longer RSI and Stochastic periods. By analyzing how these layers interact, especially when the Slow (purple) and Slowest (orange) lines converge or cross near overbought or oversold zones, traders can spot high-probability reversal points. These moments often precede price turning points, and the signals gain strength when confirmed by divergences between price and indicator movement. Key features include: Triple StochRSI smoothing to capture short- to long-term momentum shifts. Dynamic overbought/oversold signals with visual cross markers. Built-in trend sentiment and average streak statistics. Alerts for crossovers, trend shifts, and extended over/underperformance streaks. Use it as a standalone momentum framework or as a supporting layer for divergence detection and market exhaustion analysis. The stats table in your script provides insight into how long each Stochastic line (%K) typically stays above or below the 50 midline, and how the current streak compares to that average. 1. "Current" Column This shows how many consecutive bars the %K has been: Above 50 (▲) OR Below 50 (▼) It updates in real time on the last bar. 2. "Avg ▲ / Avg ▼" Column These are historical averages based on your lookbackPeriod (default 1000 bars). It shows: The average length of time %K stays above 50 (bullish bias) The average time it stays below 50 (bearish bias) Example Breakdown: Let’s say the "Slow" row shows: Current: 7 ▼ Avg ▲ / Avg ▼: 6 / 5 This means: %K on the Slow lane has been below 50 for 7 bars Historically, it only stays below 50 for about 5 bars on average So, this bearish streak is already longer than usual How to Use This Information: A longer-than-average streak could imply a maturing move, potentially near exhaustion. If current ▲ or ▼ streak is nearing or exceeding its average, it may warn of an upcoming shift. Good for contextualizing trends and avoiding late entries.
Pine Script® göstergesi
XYZ-Trades tarafından
Manual Range FR1 — Open Source ( Miresync )Made by Rafael Matos (Miresync) EMA 9 – Scalp Trading XAUUSD (Gold) The EMA 9 (Exponential Moving Average) is a short-term moving average widely used by scalpers and day traders to identify quick price movements with precision and agility. In this setup, the EMA 9 acts as a dynamic trend guide, helping to pinpoint entry and exit zones for short, fast trades on XAUUSD (Gold). 🎯 Core Strategy: When price is above EMA 9 → indicates bullish strength → focus on long entries during pullbacks. When price is below EMA 9 → indicates bearish strength → focus on short entries during pullbacks. EMA 9 reacts quickly to direction changes, allowing for short and precise scalps that take advantage of microtrends.
Pine Script® göstergesi
gfvix21 tarafından
Reversal Super ScalperUsing Grok I've combined several indicators to be used for scalping reversals. My goal is to make sure it alerts me when all of the below conditions have been met. Indicators that were combined to make this FluidTrades - SMC Lite indicator - by Pmgjiv Money Flow Index MTF + Alerts - by DreamsDefined WaveTrend Filtered Signals (LazyBear Style) - by Uncle_the_shooter Q-Trend - by tarasenko_ This strategy is for scalping on the 5 minute timeframe. This way I can set alerts when the price action is close to demand or support levels marked out by the FluidTrades - SMC Lite indicator, the Money Flow Index MTF + Alerts indicator shows oversold if i'm trying to enter a long position or overbought if I'm trying to enter a short position, and the WaveTrend Filtered Signals indicator pops up a buy/sell signal either on the same 5 min candle or two 5 min candles before the Q-Trend buy/sell signal pops up. Once all of these conditions are met, this is when I would enter into a position at the close of the trigger candle from Q-Trend. Here is an example of how to use this strategy BUY (LONG) SIGNAL CONDITIONS Price action must fall back into a level of demand marked out by the FluidTrades indicator. The candle wick may cross below the demand level, and the candle body may cross slightly below it, as long as the candle does not close below the demand zone. If any candle closes below the demand level, the buy signal created by the Q-Trend indicator is canceled. The WaveTrend Filtered Signals indicator should generate an alert on the current 5 min candle that Q-trend is generating a buy signal or two 5 min candles before it. Money Flow Index (MFI) Condition: On the candle where the buy signal is triggered by the Q-Trend indicator, the MFI must be oversold, with the white line below the 40 level, inside the Red Zone. When the above conditions are met, enter after the close of the BUY signal trigger candle. For the short signal it is the opposite of these conditions.
Pine Script® göstergesi
ssippijohnhurt tarafından
1