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Real Close Overlay for Heiken AshiDescription: The Real Close on Heiken Ashi indicator solves one of the biggest problems traders face when using Heiken Ashi candles, the fact that the displayed close is not the true market close. By default, Heiken Ashi modifies the open, high, low, and close values to create smoother-looking candles. This makes them great for identifying trends, but it also means entries and exits can be misleading if you rely only on the chart. This tool fixes that by overlaying the real closing price (traditional candlestick close) directly onto your Heiken Ashi chart. How It Works: - Plots the true closing price of each bar (from standard candles) onto your Heiken Ashi chart. - Displays a small, unobtrusive marker (black dot by default) so you can instantly see where price actually closed. Not only does it plot the close, but it moves with real price as the candle is forming so price action is not lost. - Updates in real time with every new bar. Why It Matters: - Use Heiken Ashi for trend clarity without losing price accuracy. - Avoid entering/exiting based on inaccurate Heiken Ashi body closes. - Improves stop-loss and take-profit placement by showing where price truly ended the candle. - Essential for scalpers and short-term traders who need precision without losing true price action. Best Uses: - Combine with Heiken Ashi for momentum trading. - Verify breakout confirmations against the real close. - Use as an execution reference if you trade a HA-based system. Disclaimer: This script is for educational purposes only. It is open source and fully accessible. It does not provide financial advice. Always test thoroughly before applying to live markets.
Indicador Pine Script®
por One_To_Two_Trades
ICT Killzones & Pivots indicatorIt marks out key trading sessions (Asia, London, New York AM, NY Lunch, NY PM) by drawing: Killzone boxes (high/low of session) Pivot lines (session highs and lows) Labels (like LO.H, NYAM.L, etc.) Day/Week/Month opens and separators Custom timestamp markers Here’s what’s happening in the code: 🔑 Key Features: Configurable Killzones Asia: 20:00 – 00:00 GMT-4 London: 02:00 – 05:00 GMT-4 NY AM: 09:30 – 11:00 GMT-4 NY Lunch: 12:00 – 13:00 GMT-4 NY PM: 13:30 – 16:00 GMT-4 Each session can show: Colored boxes (range of session) Pivot high/low lines Labels like AS.H, LO.L Alerts when levels break Drawing Limits max_days input controls how many past sessions are shown. Prevents chart clutter. Opening Price Lines You can mark important open levels: true day open (00:00), 06:00, 10:00, 14:00. Useful for ICT concepts like “open drive.” Day/Week/Month Opens Option to plot open price levels with labels (D.OPEN, W.OPEN, M.OPEN). Can also show separators for each new day/week/month. Alerts Triggers when session highs or lows are broken. Example: “Broke LO.H” if London high breaks. Custom Timezones Killzones are adjusted using the gmt_tz setting. Default is GMT-4 (New York). Cutoff Time After a set time (default 12:00), extensions of session lines stop updating. ⚡ In practice: Boxes highlight accumulation ranges (ICT killzones). Pivot lines help track liquidity grabs (session high/low breaks). Labels + alerts keep you notified of important market structure events. Combined with ICT concepts, you’d look for setups like: London killzone sweep of Asia range. NY session taking liquidity above London high.
Indicador Pine Script®
por Quantel_io
Secret bubbleSecret bubble Why Might It Be Called "Bubbles"? Although not officially named so, some traders or platforms might refer to Bollinger Bands as "bubbles" because: The bands visually surround the price like a bubble. During low volatility, the bands form a tight "bubble" around price. Breakouts look like the price "popping out" of a bubble. Hence, the nickname "пузырьки" (bubbles) could be a colloquial or visual metaphor for Bollinger Bands in Russian-speaking trading communities. Conclusion While there is no official technical indicator called "Bubbles", the term likely refers to Bollinger Bands due to their visual appearance and function. This powerful tool helps traders assess volatility, spot potential reversals, and time entries and exits. When combined with other analysis methods, Bollinger Bands remain a cornerstone of modern technical trading. 🔧 Tip: You can find Bollinger Bands on almost every trading platform (TradingView, MetaTrader, ThinkorSwim) by searching "Bollinger Bands" in the indicators list.
Indicador Pine Script®
por SaNtA_1408
ForecastForecast (FC), indicator documentation Type: Study, not a strategy Primary timeframe: 1D chart, most plots and the on-chart table only render on daily bars Inspiration: Robert Carver’s “forecast” concept from Advanced Futures Trading Strategies, using normalized, capped signals for comparability across markets ⸻ What the indicator does FC builds a volatility-normalized momentum forecast for a chosen symbol, optionally versus a benchmark. It combines an EWMAC composite with a channel breakout composite, then caps the result to a common scale. You can run it in three data modes: • Absolute: Forecast of the selected symbol • Relative: Forecast of the ratio symbol / benchmark • Combined: Average of Absolute and Relative A compact table can summarize the current forecast, short-term direction on the forecast EMAs, correlation versus the benchmark, and ATR-scaled distances to common price EMAs. ⸻ PineScreener, relative-strength screening This indicator is excellent for screening on relative strength in PineScreener, since the forecast is volatility-normalized and capped on a common scale. Available PineScreener columns PineScreener reads the plotted series. You will see at least these columns: • FC, the capped forecast • from EMA20, (price − EMA20) / ATR in ATR multiples • from EMA50, (price − EMA50) / ATR in ATR multiples • ATR, ATR as a percent of price • Corr, weekly correlation with the chosen benchmark Relative mode and Combined mode are recommended for cross-sectional screens. In Relative mode the calculation uses symbol / benchmark, so ensure the ratio ticker exists for your data source. ⸻ How it works, step by step 1. Volatility model Compute exponentially weighted mean and variance of daily percent returns on D, annualize, optionally blend with a long lookback using 10y %, then convert to a price-scaled sigma. 2. EWMAC momentum, three legs Daily legs: EMA(8) − EMA(32), EMA(16) − EMA(64), EMA(32) − EMA(128). Divide by price-scaled sigma, multiply by leg scalars, cap to Cap = 20, average, then apply a small FDM factor. 3. Breakout momentum, three channels Smoothed position inside 40, 80, and 160 day channels, each scaled, then averaged. 4. Composite forecast Average the EWMAC composite and the breakout composite, then cap to ±20. Relative mode runs the same logic on symbol / benchmark. Combined mode averages Absolute and Relative composites. 5. Weekly correlation Pearson correlation between weekly closes of the asset and the benchmark over a user-set length. 6. Direction overlay Two EMAs on the forecast series plus optional green or red background by sign, and optional horizontal level shading around 0, ±5, ±10, ±15, ±20. ⸻ Plots • FC, capped forecast on the daily chart • 8-32 Abs, 8-32 Rel, single-leg EWMAC plus breakout view • 8-32-128 Abs, 8-32-128 Rel, three-leg composite views • from EMA20, from EMA50, (price − EMA) / ATR • ATR, ATR as a percent of price • Corr, weekly correlation with the benchmark • Forecast EMA1 and EMA2, EMAs of the forecast with an optional fill • Backgrounds and guide lines, optional sign-based background, optional 0, ±5, ±10, ±15, ±20 guides Most plots and the table are gated by timeframe.isdaily. Set the chart to 1D to see them. ⸻ Inputs Symbol selection • Absolute, Relative, Combined • Vs. benchmark for Relative mode and correlation, choices: SPY, QQQ, XLE, GLD • Ticker or Freeform, for Freeform use full TradingView notation, for example NASDAQ:AAPL Engine selection • Include: • 8-32-128, three EWMAC legs plus three breakouts • 8-32, simplified view based on the 8-32 leg plus a 40-day breakout EMA, applied to the forecast • EMA1, EMA2, with line-width controls, plus color and opacity Volatility • Span, EW volatility span for daily returns • 10y %, blend of long-run volatility • Thresh, Too volatile, placeholders in this version Background • Horizontal bg, level shading, enabled by default • Long BG, Hedge BG, colors and opacities Show • Table, Header, Direction, Gain, Extension • Corr, Length for correlation row Table settings • Position, background, opacity, text size, text color Lines • 0-lines, 10-lines, 5-lines, level guides ⸻ Reading the outputs • Forecast > 0, bullish tilt; Forecast < 0, bearish or hedge tilt • ±10 and ±20 indicate strength on a uniform scale • EMA1 vs EMA2 on the forecast, EMA1 above EMA2 suggests improving momentum • Table rows, label colored by sign, current forecast value plus a green or red dot for the forecast EMA cross, optional daily return percent, weekly correlation, and ATR-scaled EMA9, EMA20, EMA50 distances ⸻ Data handling, repainting, and performance • Daily and weekly series are fetched with request.security(). • Calculations use closed bars, values can update until the bar closes. • No lookahead, historical values do not repaint. • Weekly correlation updates during the week, it finalizes on weekly close. • On intraday charts most visuals are hidden by design. ⸻ Good practice and limitations • This is a research indicator, not a trading system. • The fixed Cap = 20 keeps a common scale, extreme moves will be clipped. • Relative mode depends on the ratio symbol / benchmark, ensure both legs have data for your feed. ⸻ Credits Concept inspired by Robert Carver’s forecast methodology in Advanced Futures Trading Strategies. Implementation details, parameters, and visuals are specific to this script. ⸻ Changelog • First version ⸻ Disclaimer For education and research only, not financial advice. Always test on your market and data feed, consider costs and slippage before using any indicator in live decisions.
Indicador Pine Script®
por BB_9791
Liquidity Hunt IndicatorThis indicator automatically detects liquidity pools formed by swing highs and lows using fractal logic. It draws potential buy-side and sell-side liquidity levels (top/bottom lines) and dynamically updates them as price evolves. White lines = pending liquidity levels (untested). Red lines = liquidity taken from above (buy-side liquidity sweep). Green lines = liquidity taken from below (sell-side liquidity sweep). Alerts trigger when price breaks a liquidity line. This tool helps traders track where liquidity might be resting and visualize when price sweeps it — useful for smart money concepts (SMC), ICT-style trading, and liquidity-based strategies.
Indicador Pine Script®
por Quantel_io
Relative Strength Heat [InvestorUnknown]The Relative Strength Heat (RSH) indicator is a relative strength of an asset across multiple RSI periods through a dynamic heatmap and provides smoothed signals for overbought and oversold conditions. The indicator is highly customizable, allowing traders to adjust RSI periods, smoothing methods, and visual settings to suit their trading strategies. The RSH indicator is particularly useful for identifying momentum shifts and potential reversal points by aggregating RSI data across a range of periods. It presents this data in a visually intuitive heatmap, with color-coded bands indicating overbought (red), oversold (green), or neutral (gray) conditions. Additionally, it includes signal lines for overbought and oversold indices, which can be smoothed using RAW, SMA, or EMA methods, and a table displaying the current index values. Features Dynamic RSI Periods: Calculates RSI across 31 periods, starting from a user-defined base period and incrementing by a specified step. Heatmap Visualization: Displays RSI strength as a color-coded heatmap, with red for overbought, green for oversold, and gray for neutral zones. Customizable Smoothing: Offers RAW, SMA, or EMA smoothing for overbought and oversold signals. Signal Lines: Plots scaled overbought (purple) and oversold (yellow) signal lines with a midline for reference. Information Table: Displays real-time overbought and oversold index values in a table at the top-right of the chart. User-Friendly Inputs: Allows customization of RSI source, period ranges, smoothing length, and colors. How It Works The RSH indicator aggregates RSI calculations across 31 periods, starting from the user-defined Starting Period and incrementing by the Period Increment. For each period, it computes the RSI and determines whether the asset is overbought (RSI > threshold_ob) or oversold (RSI < threshold_os). These states are stored in arrays (ob_array for overbought, os_array for oversold) and used to generate the following outputs: Heatmap: The indicator plots 31 horizontal bands, each representing an RSI period. The color of each band is determined by the f_col function: Red if the RSI for that period is overbought (>threshold_ob). Green if the RSI is oversold (
Indicador Pine Script®
por InvestorUnknown
Primitive Delta DivergencePrimitive Delta Divergence This indicator detects volume-price divergences by analyzing the relationship between price direction and volume bias over a rolling lookback period, revealing potential momentum shifts before they become apparent in price action alone. Instead of relying solely on price movements, you can identify moments when volume sentiment contradicts price direction — a core concept borrowed from footprint chart analysis, adapted for traditional bar charts. For example, when price moves higher but volume is predominantly bearish, or when price declines while volume shows bullish accumulation. 🔹 How it works Lookback Period (n) → defines the rolling window for analyzing price and volume relationships Creates a "meta-candle" from the lookback period, comparing its open vs. close for price bias Volume classification → separates each bar's volume into bullish (green candles), bearish (red candles), or neutral (doji candles) Volume bias calculation → generates a continuous score (-1 to +1) representing the directional volume pressure Plots divergence signals when price direction and volume bias disagree 🔹 Use cases Spot early momentum exhaustion when price and volume move in opposite directions Identify potential reversal zones where volume suggests underlying weakness or strength Enhance entry/exit timing by incorporating volume-based confirmation alongside price action Apply footprint-style analysis to any timeframe without specialized charting tools ✨ Primitive Delta Divergence reveals the hidden story volume tells about price, uncovering divergences that traditional indicators might miss.
Indicador Pine Script®
por bfoster238
2
David Dang - Scalp M15/H1 (BTC/USDT)The Scalp Buy/Sell Volume + Support Resistance indicator is designed for traders who like short-term trading (scalping). The tool combines EMA trends, money flow strength (volume) and important support - resistance zones to give entry/exit signals. Green arrow (BUY): When the price crosses EMA, the volume increases and holds the support zone. Red arrow (SELL): When the price is below EMA, the volume increases and fails at the resistance zone. Displayed with EMA, support - resistance lines for traders to easily observe the trend.
Indicador Pine Script®
por David_Backcom
Сигналы_magistraturaNew Custom Indicator "Signals_magistratura" — How to Get Entry Signals (Long & Short) 🔹 Big news for traders — a new tool has arrived — Our team has developed a custom indicator that highlights potential entry points. — It doesn’t guess. It reads market structure and shows real reversal and continuation zones. 🔍 How does the indicator work? 🔹 Trend-aligned signals — enter at the start of an impulse 📌 These signals help you enter early, at the beginning of a move — not after the train has left. 🔹 Breakout signals — two key scenarios 1. False break & reversal (Liquidity grab) — Price breaks a key level, sweeps stops, then reverses, — Followed by a strong bounce. → Perfect setup for a reversal trade. 2. True breakout — trend continuation — If price closes and holds beyond a key level, → You can enter in the direction of the breakout. — Signal is strongest when confirmed by high volume. 🔹 Works on stocks — not just crypto — Example: Signal triggered on touching the upper boundary of the daily SMA channel, — This indicates an anomalous deviation, → Often followed by a pullback toward the moving average. 📌 These levels act as reversal zones, especially when confirmed by volume. 🧩 How to strengthen the signals? 🔹 Combine with "SMA Channels Magistratura" — Highlights gaps between SMA channels, — These zones = market extremes, where price is "overheated", → High probability of correction or new impulse after. 🔹 Use divergence — Built-in enhanced RSI analysis (not classic RSI), — Helps spot trend weakening before reversal. ✅ How to use the indicator? — Not as a magic button, — But as a filter and confirmation tool for your strategy. Works for: → Cryptocurrencies, → Russian stocks, → Forex, → Intraday & swing trading. 📌 Especially useful if: You’re tired of paid signals, Haven’t built your own strategy yet, Want to trade systematically, not randomly. 🚀 Your move Pause the video, add the indicator to your chart, test it on your favorite assets. Then comment below: how did the signal perform? → Let’s discuss! 💡 This indicator is not a trading signal. It’s a tool for those who want to see deeper, enter earlier, and trade with precision. Add it. Test it. Improve your trading by 70%. Good luck!
Indicador Pine Script®
por NZ_27
Volume Demand & Supply IndicatorTitle: VDS - Volume Demand & Supply Indicator Description: The VDS (Volume Demand & Supply) Indicator is a powerful analysis tool designed for traders who rely on understanding volume to make informed decisions. Unlike traditional volume indicators, VDS goes beyond just showing total volume by separating it into Up Volume and Down Volume, giving you a clear view of the buying and selling pressure in the market. Key Features: Precise Volume Analysis: The indicator scans data from lower timeframes to more accurately approximate up and down volume, providing you with detailed insights into market dynamics. Identify Buying vs. Selling Pressure: Up Volume: Represents the volume traded when the price rises, indicating dominant buying power. Down Volume: Represents the volume traded when the price falls, indicating significant selling pressure. Volume Moving Average (MA): A volume moving average is included to help you easily identify normal versus abnormal market activity, which is crucial for spotting strong trends and breakouts. Delta Signal: The small "Delta" character indicates the difference between up volume and down volume. A green delta suggests buying dominance (demand), while a red delta points to selling dominance (supply). Customizable: You have the ability to customize the lower timeframe used for analysis, allowing you to tailor the indicator to your specific trading strategy and style. How to Trade with the VDS Indicator? The VDS indicator isn't just a data visualization tool; it's a practical guide that can be used to confirm or deny trading signals. Here are a few suggested strategies: Confirming Breakouts: When the price breaks above a key resistance level, look for a significant increase in Up Volume. This confirms the breakout is genuine and supported by strong buying power. A breakout with weak volume might be a "fakeout" and should be treated with caution. Validating Trends: In an Uptrend: You should consistently see the Up Volume (green columns) higher than the Down Volume (red columns). This shows that buyers are in control. In a Downtrend: You should consistently see the Down Volume higher than the Up Volume, indicating sellers are dominant. Detecting Trend Weakness (Divergence): If the price is making new highs but the Up Volume is decreasing, it could signal a weakening of buying pressure, potentially leading to a trend reversal. The opposite is true in a downtrend: if the price is making new lows but the Down Volume is weakening, a reversal may be imminent. Using the Delta Signal for Reversals: When the Delta signal turns from red to green at a price low (near a support level), it can confirm the beginning of new buying strength. When the Delta turns from green to red at a price high (near a resistance level), it can confirm the start of new selling pressure. The VDS indicator is a valuable addition to any trading strategy, adding a new dimension to volume analysis and helping traders understand what's really happening behind price movements.
Indicador Pine Script®
por yassernoah
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow. 🟩🟥 Imbalance boxes: “Crowd rushed, gaps left” What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited. Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops. ⏩How to use: Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points. ↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?” What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias. Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns. ⏩How to use: Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering. 🧱Order blocks: “Where big players remember” What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines. Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase. ⏩ How to use: Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry. 📊Volume coloring: “How Volume is move?” What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.” Why it helps: Patterns without volume often fade; volume validates strength and intent of moves. ⏩ How to use: Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip. 🧲 BSL/SSL liquidity pools: “Fishing for stops” What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”). Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location. ⏩ How to use: Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on. 🟢🔴 Advanced liquidity grab: “Catch fakeout” What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically. Why it helps: It exposes trap moves (stop hunts) and often precedes true direction. ⏩ How to use: Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick. 🧠 Smart candlestick patterns (only in right place) What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees. Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal. ⏩ How to use: Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean. 🧭 Dashboard: “Context in a glance” ⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning. ⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction. ⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there. 🧩Step-by-step trading flow (with mindset) ⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation. ⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time. ⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO. ⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume. ⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2. Bearish: mirror above. ⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion. 🎛️ Parameter tuning (to reduce human error) ⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live. ⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%. ⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools. ❌Common mistakes → ✅ Better habits ⏩Chasing every breakout → Wait for sweep/rejection, then confirm. ⏩Ignoring volume → Validate strength; cut size or skip on weak volume. ⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded). ⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance. 📝 checklist (before entry) ⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there? ⏩ Is there a close imbalance/OB that price can retest? ⏩ Do we have an effective pattern plus supportive volume? ⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5? •?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Indicador Pine Script®
por cnagda3
MACD_magistraturaCustom Indicator "MACD Magistratura" — Precision in Momentum, Clarity in Structure 🔹 Why trade with outdated MACD settings? — Classic MACD is useful, but limited: → One timeframe, one signal, one view, → Often noisy, lagging, and hard to contextualize. — Most traders use it blind — without knowing when it works, and when it misleads. 🔹 What is MACD Magistratura? — A custom-built evolution of the classic MACD, — Engineered for multi-timeframe clarity, — Designed to show not just momentum — but its hierarchy across timeframes. 🔹 Key advantages: ✅ No more clutter — one indicator replaces 2+ classic MACDs, ✅ No repaint — values are stable, based on closed candles, ✅ Clear divergence detection — compare price vs. multi-TF MACD perpendicularly, ✅ Perfect for trend confirmation — especially when combined with SMA Magistratura.
Indicador Pine Script®
por NZ_27
🎯 Super MA Arrows with Trend Bands🎯 Core Structure of the Indicator 1. Input Parameters Configuration One of the most comprehensive indicators, featuring 50+ configurable variables, categorized into: MA Settings: Define MA types and periods Signal Settings: Customize signal conditions Display Settings: Manage visual outputs AI Settings: Enable/disable learning module Multi-Timeframe Settings: Analyze across multiple timeframes 2. Moving Average & Envelope Calculations The indicator employs multiple moving averages and an adaptive envelope: Fast MA: Captures short-term movement (default: 9) Slow MA: Reflects overall trend direction (default: 21) Filter MA: Filters market noise (default: 50) Envelope: Auto-adjusting support/resistance zones 3. Market Structure Analysis Purpose: Confirm the market’s directional bias by evaluating swing highs/lows, breakouts, and consolidation zones.
Indicador Pine Script®
por thanachot22