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EMA Volume Confluence + Trend Bands[BBM]# EMA Volume Confluence + Trend Bands Indicator ## Overview A professional day trading indicator designed to eliminate false breakouts and early entries by combining multiple confirmation signals. Perfect for futures and crypto traders holding positions 1-2 days max. ## What It Does - **Filters out false signals** by requiring EMA crossovers, volume spikes, VWAP confirmation, AND momentum alignment - **Shows volatility-based trend bands** to identify genuine breakouts vs noise - **Provides clear entry signals** only when ALL conditions align - **Real-time metrics dashboard** showing RSI, volume, VWAP position, and band status ## Signal Types - **LONG/SHORT triangles**: High-probability EMA cross entries with full confirmation - **BO (Breakout) crosses**: Volatility expansion breakouts with volume support - **Yellow background**: Volume spike in progress - watch for signals - **Colored bands**: Trade inside the channel or wait for confirmed breakouts ## Recommended Settings ### For Crypto (High Volatility) - **Volume Spike Multiplier**: 2.0x (crypto has bigger spikes) - **Band Multiplier**: 2.5-3.0 (wider bands for volatility) - **Best Timeframes**: 5min, 15min - **RSI Settings**: Keep default (70/30) ### For Futures (E-mini, Oil, Gold) - **Volume Spike Multiplier**: 1.3-1.5x (tighter volume filter) - **Band Multiplier**: 1.5-2.0 (narrower for cleaner signals) - **Best Timeframes**: 1min, 5min, 15min - **RSI Settings**: Keep default (70/30) ### For Swing/Position (1-2 day holds) - **Volume Spike Multiplier**: 1.5x - **Band Multiplier**: 2.0 - **Best Timeframes**: 1H, 4H - **Consider**: Adjust RSI to 65/35 for less filtering on larger timeframes ## Pro Tips 1. **Best trades**: LONG/SHORT signals that appear right as price touches the bands 2. **Avoid**: Signals when RSI is extended (red/green in table) 3. **Volume is key**: No yellow background = probably skip the signal 4. **VWAP acts as bias**: Above = favor longs, Below = favor shorts 5. **Band breakouts (BO)**: These are your highest conviction momentum plays ## Risk Management - Use the Band Multiplier (ATR-based) to gauge volatility - "Above/Below" band position = extended move, consider taking profits - "Inside" band position = consolidation, best for entries - Higher volume multiplier = fewer but higher quality signals ## Alert Setup Set alerts for: - "Long Entry" - Full EMA setup - "Short Entry" - Full EMA setup - "Breakout Long" - Band breakout with volume - "Breakout Short" - Band breakdown with volume --- **Note**: This indicator prioritizes quality over quantity. You'll get fewer signals, but they have much better win rates because they require multiple confirmations. Perfect for traders tired of getting whipsawed by false breakouts!
Indikator Pine Script®
oleh bigmoneymazz
CB Charts - GEX MESZ2025/ESZ2025Last Updated: 09/22/2025 6:41 a.m. PST *DISCLAIMER: Only intended for ESZ2025/MESZ2025 charts. This indicator plots horizontal levels based on batched GEX levels for ESZ2025/MESZ2025. The batched data is derived from contracts expiring: 0DTE, 1DTE, EoW, EoM, Next Week, Next Month and 3-months out. Labels are available for a high-level view of which levels are which. Hovering (or long-pressing on mobile TV) over the labels will display the nominal values and Rank. This script is manually updated and may not be always updated. When and what to use: - Most respected levels come from 1DTE, EoW and EoM. - 0DTE is included for when this script becomes intraday updated. (CURRENTLY NOT UPDATED INTRADAY) - Next Week setting is best used only for Friday and Sunday trading - Next Month setting is best for weeks close to the end of the current month Powered by the Camels of Wallstreet
Indikator Pine Script®
oleh thabaker91
MTF EMA Smooth Indicator By : KaizenotradingPH (Open Source)This indicator script can display three different timeframe MTF EMA indicators simultaneously. The special thing of this script is that it has smoothing feature that can smooth the MTF EMA but only in minutes and hours timeframe (script limitation). You can enable the anti repainting as well which reference the previous bar. These features are useful for customize strategies scripts to avoid repainting. Additionally, this script have customizable length for the three MTF EMA indicators. This is the open source version of the script.
Indikator Pine Script®
oleh KaiZenoTradingPH
FRANJAS POR FECHAS - RSDescription: This indicator allows you to highlight specific dates on your chart with vertical background stripes, similar to a session indicator. Input your dates in the format DD.MM.YYYY (you can separate them with commas, spaces, line breaks, or semicolons). The script automatically normalizes the format and applies a shaded vertical band for each matching day. Works on daily and intraday charts: in intraday, the shading will cover the full trading day. Options available to adjust the color and transparency of the stripes. Optional dotted lines can be enabled at the start and end of each highlighted day. This is useful for marking important events such as FOMC meetings, earnings releases, economic data announcements, or any custom list of key dates you want to track directly on your chart.
Indikator Pine Script®
oleh ramonsegh
Katz Calypso Indicator (Refactored)Overview The Katz Calypso Indicator is a comprehensive momentum oscillator designed to identify potential entry and exit points in the market. At its core, it uses the True Strength Index (TSI) to gauge the strength and direction of a trend. To enhance signal accuracy and reduce false positives, the indicator integrates several optional filters, including the Waddah Attar Explosion, an EMA filter, and an ATR filter. It also provides an optional RVGI-based exit signal system. This tool is designed to provide a clear, visual representation of market momentum, with customizable filters to adapt to various trading styles and market conditions. How to Use the Indicator The indicator is displayed in a separate pane below the main price chart. TSI Line (Blue): This is the main oscillator line. Its position relative to the zero line indicates the overall trend bias (above 0 is bullish, below is bearish). Signal Line (Red): A moving average of the TSI line. Crossovers between the TSI and Signal Line are the primary triggers for trade signals. Zero Line: The centerline of the oscillator. A cross of the Zero Line can indicate a significant shift in momentum. Overbought/Oversold Levels: These user-defined levels (defaulting to 65 and -65) help identify potential exhaustion points in a trend, which can be used for taking profits. On-Chart Signals: The indicator plots shapes directly on the chart to make signals easy to spot: Green Triangles (Up): Indicate long entry or continuation signals. Red Triangles (Down): Indicate short entry or continuation signals. Yellow Triangles: Suggest taking profits. Maroon/Lime Triangles: Indicate an exit based on a signal cross (like RVGI or the Zero Line). Trading Rules Long Trade Rules Entry: A long trade is signaled when ALL of the following conditions are met: The blue TSI Line crosses above the red Signal Line. The blue TSI Line is above the 0 Zero Line. All enabled filters (Waddah Attar, EMA, ATR) confirm bullish conditions. A green triangle labeled "Long" will appear below the price. Exit (Take Profit): A take-profit signal for a long trade is generated when either of these occurs: The TSI Line crosses below the Overbought level. The TSI Line crosses back below the Signal Line while still above zero. A yellow triangle labeled "TPL" (Take Profit Long) will appear above the price. Exit (Stop/Reverse): A signal to exit a long trade is generated when either of these occurs: The TSI Line crosses below the 0 Zero Line. The RVGI Exit filter is enabled and generates a bearish crossover signal. A maroon triangle labeled "Exit Long" will appear above the price. Short Trade Rules Entry: A short trade is signaled when ALL of the following conditions are met: The blue TSI Line crosses below the red Signal Line. The blue TSI Line is below the 0 Zero Line. All enabled filters (Waddah Attar, EMA, ATR) confirm bearish conditions. A red triangle labeled "Short" will appear above the price. Exit (Take Profit): A take-profit signal for a short trade is generated when either of these occurs: The TSI Line crosses above the Oversold level. The TSI Line crosses back above the Signal Line while still below zero. A yellow triangle labeled "TPS" (Take Profit Short) will appear below the price. Exit (Stop/Reverse): A signal to exit a short trade is generated when either of these occurs: The TSI Line crosses above the 0 Zero Line. The RVGI Exit filter is enabled and generates a bullish crossover signal. A lime green triangle labeled "Exit Short" will appear below the price. Optional Filters You can enable or disable these filters in the indicator's settings to fine-tune its sensitivity. Waddah Attar Explosion Filter: This filter measures trend strength and volatility. When enabled, it ensures that entries are only taken during periods of strong, confirmed momentum, helping to avoid sideways or choppy markets. EMA Price Filter: A classic trend filter. When enabled, it will only allow long entries if the price is above the specified Exponential Moving Average and short entries only if the price is below it. ATR Filter: This acts as a volatility-based filter to prevent chasing a move. It helps ensure that you are not entering a long trade when the price has already moved too far above its EMA, or vice-versa for a short trade. RVGI Exit Filter: The Relative Vigor Index (RVGI) is used here exclusively as an exit signal. When enabled, a crossover of the RVGI and its signal line can provide an earlier exit signal before the TSI crosses the zero line, potentially locking in profits sooner. Disclaimer: This indicator is provided for educational and informational purposes only. It is not financial advice. Trading carries a high level of risk, and you can lose more than your initial investment. You should use this indicator at your own risk and discretion. Always conduct your own research and consider your risk tolerance before making any trading decisions.
Indikator Pine Script®
oleh KATZcrypto
AlgoPilotX - OptionScope with Call/Put Bias BB SqueezeUnlock the power of options trading with real-time trend insights! AlgoPilotX - OptionScope combines multi-timeframe trend analysis, Bollinger Band squeezes, RSI signals, and ATR-based strike zones into one intuitive dashboard . Instantly see call/put bias, volatility squeezes, and optimal strike distances—perfect for traders who want actionable signals at a glance. Features include: ✅ Multi-timeframe bullish/bearish trend detection ⚡ Bollinger Band squeeze alerts for volatility breakouts 📊 ATR-based dynamic strike zones for calls and puts 🔴🟢 RSI overbought/oversold signals 🚀 Visual arrows and a real-time dashboard panel 🔔 Fully alert-ready for automated notifications Make smarter, faster trading decisions with OptionScope—the ultimate options trading companion. Call/Put Bias Shows overall market bias for calls or puts based on multi-timeframe trend analysis Green = Call bias, Red = Put bias, Gray = Neutral BB Squeeze Detects low volatility periods that may lead to breakouts Yellow = Squeeze active, Gray = No squeeze Strike Distance Suggests call and put strike levels based on ATR Blue background RSI Indicates overbought/oversold conditions Red = Overbought, Green = Oversold, Gray = Neutral
Indikator Pine Script®
oleh dhesitq1o0
1
Z-Score Mean Reversion StrategyBased on Indicator "Rolling Z- Score trend" by QuantAlgo The Z-Score Mean Reversion Strategy is a statistical trading approach that exploits price extremes and their tendency to return to average levels. It uses the Z-Score indicator to identify when an asset has deviated significantly from its statistical mean, creating high-probability reversal opportunities. Core Concept: Z-Score measures how many standard deviations price is from its moving average When Z-Score reaches extreme levels (±1.5 or more), price is statistically "stretched" The strategy trades the expected "snap back" to the mean Works best in ranging or mean-reverting markets How It Works: LONG Entry: When price becomes oversold (Z-Score < -1.5), expect upward reversion SHORT Entry: When price becomes overbought (Z-Score > +1.5), expect downward reversion Exit: When price returns closer to the mean or reaches opposite extreme Risk Management: Stop loss at -3% and take profit at +5% by default 🎯 Best Settings by Market & Timeframe Cryptocurrency (High Volatility) Preset: Scalping Timeframe: 15m - 1H Lookback: 10-15 periods Entry Threshold: 1.0 - 1.5 Stop Loss: 2-3% Take Profit: 3-5% Notes: Crypto moves fast; use tighter parameters for quicker signals Forex (Medium Volatility) Preset: Default or Swing Trading Timeframe: 1H - 4H Lookback: 20-25 periods Entry Threshold: 1.5 - 2.0 Stop Loss: 1-2% Take Profit: 2-4% Notes: Works well on major pairs during normal market conditions Stocks (Lower Volatility) Preset: Swing Trading Timeframe: 4H - Daily Lookback: 25-30 periods Entry Threshold: 1.5 - 1.8 Stop Loss: 2-4% Take Profit: 4-8% Notes: Best on liquid stocks; avoid during earnings or major news Indices (Trend + Ranging) Preset: Trend Following Timeframe: Daily - Weekly Lookback: 35-50 periods Entry Threshold: 2.0 - 2.5 Stop Loss: 3-5% Take Profit: 5-10% Notes: Higher threshold reduces false signals; captures major reversals ⚙️ Optimal Configuration Guide Conservative (Lower Risk, Fewer Trades) Lookback Period: 30-40 Entry Threshold: 2.0-2.5 Exit Threshold: 0.8-1.0 Stop Loss: 3-4% Take Profit: 6-10% Momentum Filter: ON Balanced (Recommended Starting Point) Lookback Period: 20-25 Entry Threshold: 1.5-1.8 Exit Threshold: 0.5-0.6 Stop Loss: 2-3% Take Profit: 4-6% Momentum Filter: OFF Aggressive (Higher Risk, More Trades) Lookback Period: 10-15 Entry Threshold: 1.0-1.2 Exit Threshold: 0.3-0.4 Stop Loss: 1-2% Take Profit: 2-4% Momentum Filter: OFF 💡 Pro Tips for Best Results When the Strategy Works Best: ✅ Ranging markets with clear support/resistance ✅ High liquidity assets (major pairs, large-cap stocks) ✅ Normal market conditions (avoid during crashes or parabolic runs) ✅ Mean-reverting assets (avoid strong trending stocks) When to Avoid: ❌ Strong trending markets (price won't revert) ❌ Low liquidity / low volume periods ❌ Major news events (earnings, FOMC, NFP) ❌ Market crashes or euphoria phases Optimization Process: Start with "Default" preset on your chosen timeframe Backtest 6-12 months to see performance Adjust Entry Threshold first (lower = more trades, higher = fewer but stronger signals) Fine-tune Stop Loss/Take Profit based on average trade duration Consider Momentum Filter if getting too many false signals Key Metrics to Monitor: Win Rate: Target 50-60% (mean reversion typically has moderate win rate) Profit Factor: Aim for >1.5 Average Trade Duration: Should match your timeframe (scalping: minutes/hours, swing: days) Max Drawdown: Keep under 20% of capital 📈 Quick Start Recommendation For most traders, start here: Timeframe: 1H or 4H Preset: Default (Lookback 20, Threshold 1.5) Stop Loss: 3% Take Profit: 5% Momentum Filter: OFF (turn ON if too many false entries) Test on BTCUSD, EURUSD, or SPY first, then adapt to your preferred instruments!
Strategi Pine Script®
oleh bigmoneymazz
nitai Daily ATR – Top Right PanelThis script calculates the Daily ATR (Average True Range) and displays it in a compact panel on the top-right corner of the chart. The panel includes: • ATR in USD (based on a user-defined period, default = 30) • ATR% – volatility expressed as a percentage of the price • ATR% EMA – smoothed volatility trend using an Exponential Moving Average • Close + ATR and Close – ATR – projected upper and lower daily range levels Use this tool to quickly assess daily volatility, compare stocks by relative movement, and support risk management (e.g., stop-loss placement). Designed for traders who want a clean and simple volatility dashboard directly on the chart.
Indikator Pine Script®
oleh nitai1212
Mekayl's Session Zones//@version=5 indicator("Mekayl's Session zones", overlay=true, max_boxes_count=200) // --- Colors asiaFill = color.new(#3b3333, 80) preLdnFill = color.new(#292323, 80) ldnFill = color.new(#242222, 80) preNyFill = color.new(#443322, 80) nyFill = color.new(#664422, 80) asiaBorder = color.new(#4d718f, 0) preLdnBorder = color.new(#00897B, 0) ldnBorder = color.new(#B2EBF2, 0) preNyBorder = color.new(#FFA500, 0) nyBorder = color.new(#FF8C00, 0) // --- Sessions asia_sess = "0100-0600" preldn_sess = "0600-0800" ldn_sess = "0800-1200" preNY_sess = "1200-1300" ny_sess = "1300-1700" tz = "Europe/London" // --- Variables for boxes & labels var box asia_box = na var label asia_label = na var box pre_box = na var label pre_label = na var box ldn_box = na var label ldn_label = na var box preNY_box = na var label preNY_label = na var box ny_box = na var label ny_label = na // --- Function to get horizontal center above box f_label_xy(b) => x = (box.get_left(b) + box.get_right(b)) / 2 y = box.get_top(b) + 3 * syminfo.mintick // --- Asia box asia_in = not na(time(timeframe.period, asia_sess, tz)) if asia_in if na(asia_box) asia_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=asiaFill, border_color=asiaBorder, border_width=2) = f_label_xy(asia_box) asia_label := label.new(x, y, "asia", style=label.style_none, textcolor=color.new(asiaBorder,0), size=size.normal) else box.set_right(asia_box, bar_index) box.set_top(asia_box, math.max(box.get_top(asia_box), high)) box.set_bottom(asia_box, math.min(box.get_bottom(asia_box), low)) = f_label_xy(asia_box) label.set_xy(asia_label, x, y) else if not na(asia_box) box.set_right(asia_box, bar_index) asia_box := na asia_label := na // --- Pre-London box pre_in = not na(time(timeframe.period, preldn_sess, tz)) if pre_in if na(pre_box) pre_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=preLdnFill, border_color=preLdnBorder, border_width=2) = f_label_xy(pre_box) pre_label := label.new(x, y, "pre_ldn", style=label.style_none, textcolor=color.new(preLdnBorder,0), size=size.normal) else box.set_right(pre_box, bar_index) box.set_top(pre_box, math.max(box.get_top(pre_box), high)) box.set_bottom(pre_box, math.min(box.get_bottom(pre_box), low)) = f_label_xy(pre_box) label.set_xy(pre_label, x, y) else if not na(pre_box) box.set_right(pre_box, bar_index) pre_box := na pre_label := na // --- London box ldn_in = not na(time(timeframe.period, ldn_sess, tz)) if ldn_in if na(ldn_box) ldn_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=ldnFill, border_color=ldnBorder, border_width=2) = f_label_xy(ldn_box) ldn_label := label.new(x, y, "ldn", style=label.style_none, textcolor=color.new(ldnBorder,0), size=size.normal) else box.set_right(ldn_box, bar_index) box.set_top(ldn_box, math.max(box.get_top(ldn_box), high)) box.set_bottom(ldn_box, math.min(box.get_bottom(ldn_box), low)) = f_label_xy(ldn_box) label.set_xy(ldn_label, x, y) else if not na(ldn_box) box.set_right(ldn_box, bar_index) ldn_box := na ldn_label := na // --- Pre-New York box preNY_in = not na(time(timeframe.period, preNY_sess, tz)) if preNY_in if na(preNY_box) preNY_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=preNyFill, border_color=preNyBorder, border_width=2) = f_label_xy(preNY_box) preNY_label := label.new(x, y, "pre-ny", style=label.style_none, textcolor=color.new(preNyBorder,0), size=size.normal) else box.set_right(preNY_box, bar_index) box.set_top(preNY_box, math.max(box.get_top(preNY_box), high)) box.set_bottom(preNY_box, math.min(box.get_bottom(preNY_box), low)) = f_label_xy(preNY_box) label.set_xy(preNY_label, x, y) else if not na(preNY_box) box.set_right(preNY_box, bar_index) preNY_box := na preNY_label := na // --- New York box ny_in = not na(time(timeframe.period, ny_sess, tz)) if ny_in if na(ny_box) ny_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=nyFill, border_color=nyBorder, border_width=2) = f_label_xy(ny_box) ny_label := label.new(x, y, "ny", style=label.style_none, textcolor=color.new(nyBorder,0), size=size.normal) else box.set_right(ny_box, bar_index) box.set_top(ny_box, math.max(box.get_top(ny_box), high)) box.set_bottom(ny_box, math.min(box.get_bottom(ny_box), low)) = f_label_xy(ny_box) label.set_xy(ny_label, x, y) else if not na(ny_box) box.set_right(ny_box, bar_index) ny_box := na ny_label := na
Indikator Pine Script®
oleh mekayladnan8
Scenario Screener — Consolidation → Bullish SetupThe script combines multiple indicators to filter out false signals and only highlight strong conditions: Consolidation Check Uses ATR % of price → filters out stocks in tight ranges. Uses Choppiness Index → confirms sideways/non-trending behavior. Momentum Shift (Bullish Bias) MACD Histogram > 0 → bullish momentum starting. RSI between 55–70 → strength without being overbought. Stochastic %K & %D > 70 → confirms strong momentum. Volume & Accumulation Chaikin Money Flow (CMF > 0) → buying pressure. Chaikin Oscillator > 0 (debug only) → accumulation phase. Trend Direction +DI > -DI (from DMI) → buyers stronger than sellers. ADX between 18–40 → healthy trend strength (not too weak, not overheated). Breakout Filter (Optional) If enabled, requires price to cross above 20 SMA before signal confirmation. 📈 Outputs ✅ Green label (“MATCH”) below the bar when all bullish conditions align. ✅ Background highlight (light green) when signal appears. ✅ Info Table (top-right) summarizing key values: Signal = True/False MACD, CMF, Chaikin values
Indikator Pine Script®
oleh vaibhavchotaliya1990
Trinity Multi-Timeframe MA TrendOriginal script can be found here: {Multi-Timeframe Trend Analysis } www.tradingview.com 1. all credit the original author www.tradingview.com 2. why change this script: - added full transparency function to each EMA - changed to up and down arrows - change the dashboard to be able to resize and reposition How to Use This Indicator This indicator, "Trinity Multi-Timeframe MA Trend," is designed for TradingView and helps visualize Exponential Moving Average (EMA) trends across multiple timeframes. It plots EMAs on your chart, fills areas between them with directional colors (up or down), shows crossover/crossunder labels, and displays a dashboard table summarizing EMA directions (bullish ↑ or bearish ↓) for selected timeframes. It's useful for multi-timeframe analysis in trading strategies, like confirming trends before entries. Configure Settings (via the Gear Icon on the Indicator Title): Timeframes Group: Set up to 5 custom timeframes (e.g., "5" for 5 minutes, "60" for 1 hour). These determine the multi-timeframe analysis in the dashboard. Defaults: 5m, 15m, 1h, 4h, 5h. EMA Group: Adjust the lengths of the 5 EMAs (defaults: 5, 10, 20, 50, 200). These are the moving averages plotted on the chart. Colors (Inline "c"): Choose uptrend color (default: lime/green) and downtrend color (default: purple). These apply to plots, fills, labels, and dashboard cells. Transparencies Group: Set transparency levels (0-100) for each EMA's plot and fill (0 = opaque, 100 = fully transparent). Defaults decrease from EMA1 (80) to EMA5 (0) for a gradient effect. Dashboard Settings Group (newly added): Dashboard Position: Select where the table appears (Top Right, Top Left, Bottom Right, Bottom Left). Dashboard Size: Choose text size (Tiny, Small, Normal, Large, Huge) to scale the table for better visibility on crowded charts. Understanding the Visuals: EMA Plots: Five colored lines on the chart (EMA1 shortest, EMA5 longest). Color changes based on direction: uptrend (your selected up color) if rising, downtrend (down color) if falling. Fills Between EMAs: Shaded areas between consecutive EMAs, colored and transparent based on the faster EMA's direction and your transparency settings. Crossover Labels: Arrow labels (↑ for crossover/uptrend start, ↓ for crossunder/downtrend start) appear on the chart at EMA direction changes, with tooltips like "EMA1". Dashboard Table (top-right by default): Rows: EMA1 to EMA5 (with lengths shown). Columns: Selected timeframes (converted to readable format, e.g., "5m", "1h"). Cells: ↑ (bullish/up) or ↓ (bearish/down) arrows, colored green/lime or purple based on trend, with fading transparency for visual hierarchy. Use this to quickly check alignment across timeframes (e.g., all ↑ in multiple TFs might signal a strong uptrend). Trading Tips: Trend Confirmation: Look for alignment where most EMAs in higher timeframes are ↑ (bullish) or ↓ (bearish). Entries/Exits: Use crossovers on the chart EMAs as signals, confirmed by the dashboard (e.g., enter long if lower TF EMA crosses up and higher TFs are aligned). Customization: On lower timeframe charts, set dashboard timeframes to higher ones for top-down analysis. Adjust transparencies to avoid chart clutter. Limitations: This is a trend-following tool; combine with volume, support/resistance, or other indicators. Backtest on historical data before live use. Performance: Works best on trending markets; may whipsaw in sideways conditions.
Indikator Pine Script®
oleh EMA34TRADER
Supertrend DashboardOverview This dashboard is a multi-timeframe technical indicator dashboard based on Supertrend. It combines: Trend detection via Supertrend Momentum via RSI and OBV (volume) Volatility via a basic candle-based metric (bs) Trend strength via ADX Multi-timeframe analysis to see whether the trend is bullish across different timeframes It then displays this info in a table on the chart with colors for quick visual interpretation. 2️⃣ Inputs Dashboard settings: enableDashboard: Toggle the dashboard on/off locationDashboard: Where the table appears (Top right, Bottom left, etc.) sizeDashboard: Text size in the table strategyName: Custom name for the strategy Indicator settings: factor (Supertrend factor): Controls how far the Supertrend lines are from price atrLength: ATR period for Supertrend calculation rsiLength: Period for RSI calculation Visual settings: colorBackground, colorFrame, colorBorder: Control dashboard style 3️⃣ Core Calculations a) Supertrend Supertrend is a trend-following indicator that generates bullish or bearish signals. Logic: Compute ATR (atr = ta.atr(atrLength)) Compute preliminary bands: upperBand = src + factor * atr lowerBand = src - factor * atr Smooth bands to avoid false flips: lowerBand := lowerBand > prevLower or close < prevLower ? lowerBand : prevLower upperBand := upperBand < prevUpper or close > prevUpper ? upperBand : prevUpper Determine direction (bullish / bearish): dir = 1 → bullish dir = -1 → bearish Supertrend line = lowerBand if bullish, upperBand if bearish Output: st → line to plot bull → boolean (true = bullish) b) Buy / Sell Trigger Logic: bull = ta.crossover(close, supertrend) → close crosses above Supertrend → buy signal bear = ta.crossunder(close, supertrend) → close crosses below Supertrend → sell signal trigger → checks which signal was most recent: trigger = ta.barssince(bull) < ta.barssince(bear) ? 1 : 0 1 → Buy 0 → Sell c) RSI (Momentum) rsi = ta.rsi(close, rsiLength) Logic: RSI > 50 → bullish RSI < 50 → bearish d) OBV / Volume Trend (vosc) OBV tracks whether volume is pushing price up or down. Manual calculation (safe for all Pine versions): obv = ta.cum( math.sign( nz(ta.change(close), 0) ) * volume ) vosc = obv - ta.ema(obv, 20) Logic: vosc > 0 → bullish vosc < 0 → bearish e) Volatility (bs) Measures how “volatile” the current candle is: bs = ta.ema(math.abs((open - close) / math.max(high - low, syminfo.mintick) * 100), 3) Higher % → stronger candle moves Displayed on dashboard as a number f) ADX (Trend Strength) = ta.dmi(14, 14) Logic: adx > 20 → Trending adx < 20 → Ranging g) Multi-Timeframe Supertrend Timeframes: 1m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 12H, 1D Logic: for tf in timeframes = request.security(syminfo.tickerid, tf, f_supertrend(ohlc4, factor, atrLength)) array.push(tf_bulls, bull_tf ? 1.0 : 0.0) bull_tf ? 1.0 : 0.0 → converts boolean to number Then we calculate user rating: userRating = (sum of bullish timeframes / total timeframes) * 10 0 → Strong Sell, 10 → Strong Buy 4️⃣ Dashboard Table Layout Row Column 0 (Label) Column 1 (Value) 0 Strategy strategyName 1 Technical Rating textFromRating(userRating) (color-coded) 2 Current Signal Buy / Sell (based on last Supertrend crossover) 3 Current Trend Bullish / Bearish (based on Supertrend) 4 Trend Strength bs % 5 Volume vosc → Bullish/Bearish 6 Volatility adx → Trending/Ranging 7 Momentum RSI → Bullish/Bearish 8 Timeframe Trends 📶 Merged cell 9-19 1m → Daily Bullish/Bearish for each timeframe (green/red) 5️⃣ Color Logic Green shades → bullish / trending / buy Red / orange → bearish / weak / sell Yellow → neutral / ranging Example: dashboard_cell_bg(1, 1, colorFromRating(userRating)) dashboard_cell_bg(1, 2, trigger ? color.green : color.red) dashboard_cell_bg(1, 3, superBull ? color.green : color.red) Makes the dashboard visually intuitive 6️⃣ Key Logic Flow Calculate Supertrend on current timeframe Detect buy/sell triggers based on crossover Calculate RSI, OBV, Volatility, ADX Request Supertrend on multiple timeframes → convert to 1/0 Compute user rating (percentage of bullish timeframes) Populate dashboard table with colors and values ✅ The result: You get a compact, fast, multi-timeframe trend dashboard that shows: Current signal (Buy/Sell) Current trend (Bullish/Bearish) Momentum, volatility, and volume cues Trend across multiple timeframes Overall technical rating It’s essentially a full trend-strength scanner directly on your chart.
Indikator Pine Script®
oleh FuturesCall
1
Simple Pivot Zones (Error-free) — v11. Core Idea The indicator we built is a “pivot-based zone detector with breakout signals.” It does three things: 1. Finds important swing highs and swing lows in price (pivots). 2. Creates support and resistance zones around those pivots using volatility (ATR). 3. Watches price action to see if those zones get broken, then gives signals. ________________________________________ 2. What is a Pivot? A pivot high happens when the price makes a local peak — a bar is higher than the bars around it. A pivot low happens when the price makes a local dip — a bar is lower than the bars around it. These are natural turning points in the market, showing where buyers or sellers had strong control temporarily. Traders often use them to draw support (pivot lows) and resistance (pivot highs). ________________________________________ 3. Why Use ATR for Zones? ATR (Average True Range) measures the average volatility of a market. Instead of drawing just a flat line at the pivot, we create a zone above and below it, sized according to ATR. Example: • If ATR is 20 points and zone size is 0.5, then the zone extends 10 points above and below the pivot level. This turns thin “lines” into thicker areas of interest. Real markets don’t respect razor-thin levels, but zones are more realistic. ________________________________________ 4. How Support & Resistance Zones Work • Resistance zones are created at pivot highs. They mark where sellers were strong before. • Support zones are created at pivot lows. They mark where buyers were strong before. Over time, these zones extend forward until the price interacts with them. ________________________________________ 5. Breakout Detection The indicator checks whether the price closes beyond the last pivot high or low: • If price closes above the last pivot high, it means buyers have broken resistance. • If price closes below the last pivot low, it means sellers have broken support. These moments are significant because they often trigger trend continuation. ________________________________________ 6. Parameters It Uses 1. Pivot Length – how many bars to look back and forward to confirm a pivot. A higher length makes pivots less frequent but stronger. 2. ATR Length and Multiplier – defines the size of the zones (wider zones in more volatile markets). 3. Max Zones to Keep – avoids clutter by keeping only the most recent zones. 4. Colors & Styling – helps traders visually separate bullish and bearish zones. ________________________________________ 7. How It Helps Traders • Visual clarity: Instead of guessing support and resistance, the chart automatically highlights them. • Dynamic adjustment: Zones adapt to volatility using ATR, making them useful in both calm and volatile markets. • Breakout signals: Traders get notified when price actually breaks key levels, instead of reacting late. • Cleaner charts: Instead of dozens of hand-drawn lines, the tool manages zones for you, deleting old ones. ________________________________________ 8. The Logic in One Sentence It finds important swing highs and lows, turns them into support/resistance zones scaled by volatility, and alerts you when the market breaks through them. ________________________________________ 👉 In practice, this helps traders spot where the market is likely to bounce or break, and gives a framework to plan trades — for example, buying on bullish breakouts or selling on bearish breakouts. ________________________________________
Indikator Pine Script®
oleh SupertradeOfficial