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Custom Support & Resistance LevelsThe Smart Auto Trendline Indicator is designed to help traders quickly identify key market trends without the need for manual drawing. It automatically detects swing highs and lows, plots dynamic trendlines, and updates them in real-time as price evolves. This tool is especially useful for traders who rely on trendline breakouts, pullback entries, or reversal confirmations. By simplifying chart analysis, it saves time and ensures more consistent results. Key Features: 🔹 Automatic detection of valid swing highs and lows 🔹 Dynamic trendline plotting (auto-adjusts as price moves) 🔹 Highlights potential breakout and breakdown zones 🔹 Works on all timeframes and instruments (Forex, Stocks, Indices, Crypto) 🔹 Clean, non-intrusive design to keep charts clear 🔹 Customizable settings (line color, style, sensitivity) How to Use: Apply the indicator to your chart. Observe automatically drawn trendlines. Watch for breakouts above/below trendlines for trade entries. Use in combination with other tools like RSI, MACD, or support/resistance for stronger confirmation. Best For: Breakout traders Swing traders Trend followers Forex, Stocks, Crypto, Indices
Penunjuk Pine Script®
oleh Jothy_9645
Range FinderRange Finder Strategy for TradingView Overview The Range Finder Strategy is a sophisticated trading system designed for forex and cryptocurrency markets, leveraging dynamic range detection, wick-based rejection patterns, and EMA confluence to execute high-probability trades. This strategy identifies key price ranges using pivot points and triggers trades when price rejects from these boundaries with significant wick formations, aligning with the broader market trend as confirmed by EMA crossovers. It incorporates robust risk management, customizable parameters, and visual aids for clear trade visualization, making it suitable for both manual and automated trading on platforms like Bitget via webhook alerts. Strategy Components 1. Dynamic Range Detection Pivot Points: The strategy identifies range boundaries using pivot highs and lows, calculated with a user-defined Pivot Length (default: 5 bars left/right). These pivots mark significant swing points, defining the upper (range high) and lower (range low) boundaries of the price range. Visualization: The range high is plotted as an orange line, and the range low as a purple line, using a broken line style (plot.style_linebr) to show only confirmed pivot levels, providing a clear visual of the trading range. 2. Wick-Based Rejection Pattern Wick Detection: The strategy looks for rejection candles at the range boundaries, characterized by significant wicks. A wick is considered valid if its size is at least the user-defined Wick to Body Ratio (default: 1.1, or 10% larger than the candle body). Sell Signal: Triggered when the high exceeds the range high, the candle closes bearish (close < open), and the upper wick meets the ratio requirement. Buy Signal: Triggered when the low falls below the range low, the candle closes bullish (close > open), and the lower wick meets the ratio requirement. Purpose: These wicks indicate strong rejection at key levels, often signaling a reversal back into the range, providing high-probability entry points. 3. EMA Trend Confirmation EMA Calculation: Uses two Exponential Moving Averages (EMAs) calculated on a user-selectable timeframe (default: 5-minute): EMA 200: Long-term trend indicator (plotted in red). EMA 50: Short-term trend indicator (plotted in green). Crossover Logic: A bullish trend is confirmed when the EMA 50 crosses above the EMA 200 (ema_trend_up = true). A bearish trend is confirmed when the EMA 50 crosses below the EMA 200 (ema_trend_down = true). Confluence Requirement: Trades are only executed when the wick rejection aligns with the EMA trend (e.g., sell signals require close < ema200 and bearish trend; buy signals require close > ema200 and bullish trend). 4. Risk Management Position Sizing: Calculated based on the user-defined Account Balance (default: $10,000) and Risk Per Trade (default: 2%). The position size is determined as risk_amount / stop_distance, where stop_distance is derived from the Average True Range (ATR, default period: 14). Stop Loss (SL): Set using an ATR-based multiplier (SL Multiplier, default: 9.0). For sells, SL is placed above the high; for buys, below the low. Take Profit (TP): Set using an ATR-based multiplier (TP Multiplier, default: 6.0) scaled by the Risk:Reward Ratio (default: 6.0), ensuring a favorable reward-to-risk profile. Example: For a $10,000 account with 2% risk, if ATR is 0.5, the position size is 400 units, with SL and TP dynamically adjusted to market volatility. 5. Trade Execution Sell Entry: Triggered on a wick rejection above the range high, with bearish EMA confluence (ema_trend_down and close < ema200). Enters a short position with calculated SL and TP. Buy Entry: Triggered on a wick rejection below the range low, with bullish EMA confluence (ema_trend_up and close > ema200). Enters a long position with calculated SL and TP. Exit Logic: Uses strategy.exit to set SL and TP levels, closing trades when either is hit. 6. Visual Feedback Lines and Labels: Upon trade entry, the strategy plots: Red SL line and label (e.g., "SL: 123.45"). Green TP line and label (e.g., "TP: 120.00"). Entry line (red for sell, green for buy) labeled with "Sell (Range Rejection)" or "Buy (Range Rejection)". Customization: Users can adjust the Line Length (default: 25 bars) for how long lines persist and Label Position (left or right) for optimal chart visibility. 7. Alert Conditions Webhook Integration: Generates alerts for Bitget webhook integration, providing JSON-formatted messages with trade details (action, contracts, market position, size, price, symbol, and timestamp). Usage: Traders can set up automated trading by connecting these alerts to trading bots or platforms supporting webhooks.
Strategi Pine Script®
oleh thetraderlodge
Same Day Past CandlesSame-Day Past Candles This indicator is a tool that plots the shapes of the candles from the same date one and two years ago directly on the current chart. By visually comparing past price movements, it can help you analyze seasonality and cyclical patterns. Key Features Plots Past Candles: Displays candles from the same date one and two years ago on your current chart. Toggle Visibility: You can individually turn the display of the "1 year ago candle" and "2 years ago candle" on or off in the indicator's settings. Candle Shape: The open, high, low, and close prices of the past candles are plotted, scaled to the current price range. How to Use Add this indicator to a daily chart for best results. The plotted candles are slightly offset upwards so they don't overlap with the current price, making it easier to compare the shape of the past candles with the current chart movement. Visually checking how specific past price changes are reflected on the same day this year can provide insights for your trading strategy. I do not speak English at all. Please understand that if you send me a message, I may not be able to reply, or my reply may have a different meaning. Thank you for your understanding.
Penunjuk Pine Script®
oleh ALT_analyst
High Timeframe Candle Overlay (Configurable)HTF Candle Overlay — Read Higher Timeframe on Lower Timeframe Charts What it does This indicator draws each selected Higher-Timeframe (HTF) candle directly on your lower-timeframe (LTF) chart. It shows a translucent range box (HTF high–low) and an inner body box (HTF open–close), so you can track how the bigger candle is forming while you analyze lower-timeframe structure, liquidity sweeps, and intrabar reactions. Why it’s helpful • See where the current HTF candle opened, where price sits inside its body, and how far wicks extend—without leaving your LTF chart. • Combine HTF context (e.g., 1H/4H) with LTF execution (e.g., 1m–15m) to spot confluence, S/R flips, and failed breaks faster. • The overlay is locked to the price scale and anchored by bar index, so it pans/zooms exactly with your chart (no drifting while dragging). ⸻ How it works (under the hood) • Fetches HTF OHLC via request.security. • When a new HTF bar starts, the previous HTF boxes are frozen at the true close. • The current HTF bar updates intrabar (so you see live formation) and is clamped to the correct span. • Horizontal anchoring uses bar index, and a hidden price plot binds the script to the main price scale for stable zoom/pan behavior. ⸻ Inputs • High Timeframe (HTF): Default 1H (set any TF you like). • Show High–Low Box: On/off. • Show Body Box (Open–Close): On/off. • Opacity for range/body boxes. • Bull/Bear Colors and Outline + Width. • Max HTF Candles to Keep: Auto-deletes older boxes to maintain performance. ⸻ Usage tips • Popular combos: view 1H or 4H candles while trading 1–15m charts. • Turn off the range box if you only want a clean HTF body overlay. • Pair with your session/structure tools; this indicator is visual context only (no signals or alerts). ⸻ Notes & limitations • Non-repainting for closed HTF bars: once an HTF candle closes, its boxes are fixed. The current/in-progress HTF bar updates until it closes (expected live behavior). • Data alignment depends on your symbol’s feed and session settings. Heikin Ashi/renko/etc. may not match classic OHLC. • Heavy history + many boxes can affect performance; reduce “Max HTF Candles to Keep” if needed. ⸻ Disclaimer This script is for education and charting visualization only. It does not provide financial advice, trade signals, or performance guarantees. Always do your own research and manage risk.
Penunjuk Pine Script®
oleh smithyommite
2
SHHHHHHH“Round Numbers — 100/50/25” lines… endless lines… they whisper in 25s, scream in 50s, collapse in 100s. price dances on the grid, you don’t trade it, it trades you. blue for the void. orange for the in-between. green for the fracture. extend both. never stop. above and below. above and below. do not ask why 25. do not ask why 50. the 100s already know. quarter. half. whole. repeat until delirium. add it to chart → stare too long → numbers start staring back.
Penunjuk Pine Script®
oleh samrobertson2016
2
CVD Polarity Indicator (With Rolling Smoothed)📊 CVD Polarity Indicator (with Rolling Smoothing) Purpose The CVD Polarity Indicator combines Cumulative Volume Delta (CVD) with price bar direction to measure whether buying or selling pressure is in agreement with price action. It then smooths that signal over time, making it easier to see underlying volume-driven market trends. This indicator is essentially a volume–price agreement oscillator: - It compares price direction with volume delta (CVD). - Translates that into per-bar polarity. - Smooths it into a rolling sum for clarity. - Adds a short EMA to highlight turning points. The end result: a tool that helps you see when price action is backed by real volume flows versus when it’s running on weak participation. __________________________________________________________________________________ 1. Cumulative Volume Delta (CVD) What it is: CVD is the cumulative sum of buying vs. selling pressure measured by volume. - If a bar closes higher than it opens → that bar’s volume is treated as buying pressure (+volume). - If a bar closes lower than it opens → that bar’s volume is treated as selling pressure (–volume). Rolling version: Instead of accumulating indefinitely (which just creates a line that trends forever), this indicator uses a rolling sum over a user-defined number of bars (cumulation_length, default 14). - This shows the net delta in recent bars, making the CVD more responsive and localized. 2. Bar Direction vs. CVD Change Each bar has two pieces of directional information: 1. Bar direction: Whether the candle closed above or below its open (close - open). 2. CVD change: Whether cumulative delta increased or decreased from the prior bar (cvd - cvd ). By comparing these two: - Agreement (both up or both down): → Polarity = +volume (if bullish) or –volume (if bearish). - Disagreement (bar up but CVD down, or bar down but CVD up): → Polarity flips sign, signaling divergence between price and volume. Thus, raw polarity = a per-bar measure of whether price action and volume delta are in sync. 3. Polarity Smoothing (Rolling Polarity) - Problem with raw polarity: It flips bar-to-bar and looks very jagged — not great for seeing trends. - Solution: The indicator applies a rolling sum over the past polarity_length bars (default 14). - This creates a smoother curve, representing the net polarity over time. - Positive values = net bullish alignment (buyers stronger). - Negative values = net bearish alignment (sellers stronger). Think of it like an oscillator showing whether buyers or sellers have had control recently. 4. EMA Smoothing Finally, a 10-period EMA is applied on top of the rolling polarity line: - This further reduces noise. - It helps highlight shifts in the underlying polarity trend. - Crossovers of the polarity line and its EMA can serve as trade signals (bullish/bearish inflection points). ________________________________________________________________________________ How to Read It 1. Polarity above zero → Recent bars show more bullish agreement between price and volume. 2. Polarity below zero → Recent bars show more bearish agreement. 3. Polarity diverging from price → If price goes up but polarity trends down, it signals weakening buying pressure (potential reversal). 4. EMA crossovers → - Polarity crossing above its EMA = bullish momentum shift. - Polarity crossing below its EMA = bearish momentum shift. Practical Use Cases - Trend Confirmation Use polarity to confirm whether a price move is supported by volume. If price rallies but polarity stays negative, the move is weak. - Divergence Signals Watch for divergences between price trend and polarity trend (e.g., higher highs in price but lower highs in polarity). - Momentum Shifts Use EMA crossovers as signals that the underlying balance of buying/selling has flipped.
Penunjuk Pine Script®
oleh Cruiser
Path of the Planets🪐 Path of the Planets Path of the Planets is an open-source Pine Script™ v6 indicator. It is inspired by W.D. Gann’s Path of Planets chart, specifically the Chart 5-9 artistic replica by Patrick Mikula "shown below". The script visualizes planetary positions so you can explore possible correlations with price. It overlays geocentric and heliocentric longitudes and declinations using the AstroLib library and includes an optional positions table that shows, at a glance, each body’s geocentric longitude, heliocentric longitude, and declination. This is an educational tool only and not trading advice. Key Features Start point: Choose a date and time to begin plotting so studies can align with market events. Adjustments: Mirror longitudes and shift by 360° multiples to re-frame cycles. Planets: Toggle geocentric and heliocentric longitudes and declinations for Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto. Moon declination is available. Positions table: Optional color-coded table (bottom-right) with three columns labeled Geo, Helio, and Dec. Values show degrees with the zodiac sign for the longitudes and degrees for declinations. Visualization: Solid lines for geocentric longitudes, circles for heliocentric longitudes, and columns for declinations. Includes a zero-declination reference line. How It Works Converts bar timestamps to Julian days via AstroLib. Fetches positions with AstroLib types: geocentric (0), heliocentric (1), and declination (3). Normalizes longitudes to the −180° to +180° range, applies optional mirroring and 360° shifts, and converts longitudes to zodiac sign labels for the table. Plots and the table update only on and after the selected start time. Usage Tips Apply on daily or higher timeframes when studying broader cycles. For degrees, use the left scale. Limitations at the moment: default latitude, longitude, and timezone are set to 0; aspects and retrogrades are not included; the focus is on raw paths. License and Credits Dependency: @BarefootJoey Astrolib Contributions and observations are welcome.
Penunjuk Pine Script®
oleh Javonnii
1
Pivot Distance Strategy# Multi-Timeframe Pivot Distance Strategy ## Core Innovation & Originality This strategy revolutionizes moving average crossover trading by applying MA logic to **pivot distance relationships** instead of raw price data. Unlike traditional MA crossovers that react to price changes, this system reacts to **structural momentum changes** in how current price relates to recent significant pivot levels, creating earlier signals with fewer false positives. ## Methodology & Mathematical Foundation ### Pivot Distance Oscillator The strategy calculates: - **High Pivot Percentage**: (Current Close / Last Pivot High) × 100 - **Low Pivot Percentage**: (Last Pivot Low / Current Close) × 100 - **Pivot Distance**: High Pivot Percentage - Low Pivot Percentage This creates a standardized oscillator measuring market structure compression/expansion regardless of asset price or volatility. ### Multi-Timeframe Filter Higher timeframe analysis provides directional bias: - **HTF Long** → Allow long entries, force short exits - **HTF Short** → Allow short entries, force long exits - **HTF Squeeze** → Block all entries, force all exits ## Signal Generation Methods ### Method 1: Dual MA Crossover (Primary/Default) **Fast MA (14 EMA)** and **Slow MA (50 SMA)** applied to pivot distance values: - **Long Signal**: Fast MA crosses above Slow MA (accelerating bullish pivot momentum) - **Short Signal**: Fast MA crosses below Slow MA (accelerating bearish pivot momentum) **Key Advantage**: - Traditional: Fast MA(price) crosses Slow MA(price) - reacts to price changes - This Strategy: Fast MA(pivot distance) crosses Slow MA(pivot distance) - reacts to structural changes - Result: Earlier signals, better trend identification, fewer ranging market whipsaws ### Method 2: MA Cross Zero - **Long**: Pivot Distance MA crosses above zero - **Short**: Pivot Distance MA crosses below zero ### Method 3: Pivot Distance Breakout (Squeeze-Based) Uses dynamic threshold envelopes to detect compression/expansion cycles: - **Long**: Distance breaks above dynamic breakout threshold after squeeze - **Short**: Distance breaks below negative breakout threshold after squeeze **Note**: Only the Breakout method uses threshold envelopes; MA Cross modes operate without them for cleaner signals. ## Risk Management Integration - **ATR-Based Stops**: Entry ± (ATR × Multiplier) for stops/targets - **Trailing Stops**: Dynamic adjustment based on profit thresholds - **Cooldown System**: Prevents overtrading after stop-loss exits ## How to Use ### Setup (Default: MA Cross MA) 1. **Strategy Logic**: "MA Cross MA" for structural momentum signals 2. **MA Settings**: 14 EMA (fast) / 50 SMA (slow) - both adjustable 3. **Multi-Timeframe**: Enable HTF for trend alignment 4. **Risk Management**: ATR stop loss, ATR take profit ### Signal Interpretation - **Blue/Purple lines**: Fast/Slow MAs of pivot distance - **Green/Red histogram**: Positive/negative pivot distance - **Triangle markers**: MA crossover entry signals - **HTF display**: Shows higher timeframe bias (top-left) ### Trade Management - **Entry**: Clean MA crossover with HTF alignment - **Exit**: Opposite crossover, HTF change, or risk management triggers ## Unique Advantages 1. **Structural vs Price Momentum**: Captures market structure changes rather than just price movement, naturally filtering noise 2. **Multi-Modal Flexibility**: Three signal methods for different market conditions or strategies 3. **Timeframe Alignment**: HTF filtering improves win rates by preventing counter-trend trades
Strategi Pine Script®
oleh ky_yule1010
SMC Yardımcısı - TR (Optimize v2.1)BOS (Break of Structure) Labels when price closes above/below a previous swing high/low. Shows continuation of the current trend. CHOCH (Change of Character) Appears when trend direction shifts (from bullish to bearish or vice versa). Marks possible market reversals. FVG (Fair Value Gap) Highlights price imbalance zones (3-candle gaps). These are often areas where price later returns to “fill” liquidity. OTE (Optimal Trade Entry, 62–79% retracement) Uses the last swing high and swing low. Draws the Fibonacci retracement zone (62–79%), considered a common institutional entry area. BSL (Buy Side Liquidity – Equal Highs) Detects equal highs and plots them as liquidity pools. Shows where buy-side liquidity/stop hunts may occur. SSL (Sell Side Liquidity – Equal Lows) Detects equal lows and plots them. Indicates sell-side liquidity levels. Inducement / Liquidity Sweep If price wicks above BSL or below SSL but closes back inside, a “sweep” label is shown.BOS (Break of Structure – Yapı Kırılımı)
Penunjuk Pine Script®
oleh NizamettinGOZEL
On-Balance Volume with Multiple MA TypesOn-Balance Volume with Multiple MA Types English Description Overview This is the first version of the "On-Balance Volume with Multiple MA Types" indicator designed to overlay directly on the price chart, a significant evolution from its previous iterations, which functioned solely as an oscillator in a separate window. The indicator calculates On-Balance Volume (OBV) and applies various smoothing methods to provide a clear view of volume dynamics in relation to price movements. It is pinned to the price scale for seamless integration with the chart. Interpretation Recommendations Price Pushing the OBV Line from Below: When the price chart pushes the OBV line upward and remains below it, this indicates rising volume, suggesting strong buying pressure. Price Above the OBV Line: When the price chart is above the OBV line, it signals falling volume, indicating weakening momentum or selling pressure. OBV Line Crossings: When the price crosses the OBV line, it represents a balance point in volume dynamics. The price level at the current crossing can be compared to the previous crossing to assess changes in market sentiment or momentum. Moving Average Types The indicator offers eight smoothing options for the OBV line, each with unique characteristics: EMA (Exponential Moving Average): A weighted average that prioritizes recent data, providing a smooth yet responsive line. DEMA (Double Exponential Moving Average): Uses two EMAs to reduce lag, offering faster response to volume changes. HMA (Hull Moving Average): Combines weighted moving averages to minimize lag while maintaining smoothness. WMA (Weighted Moving Average): Assigns more weight to recent data, balancing responsiveness and noise reduction. TMA (Triangular Moving Average): A double-smoothed simple moving average, emphasizing central data points for smoother output. VIDYA (Variable Index Dynamic Average): Adapts smoothing based on market volatility, using a CMO (Chande Momentum Oscillator) for dynamic weighting. Controlled by the VIDYA Alpha parameter (default: 0.2, range: 0–1), which adjusts sensitivity to volatility. FRAMA (Fractal Adaptive Moving Average): Adjusts smoothing based on fractal dimensions of the OBV data, adapting to market conditions. JMA (Jurik Moving Average): A proprietary adaptive average designed for minimal lag and high smoothness. Controlled by two parameters: JMA Phase (default: 50, range: -100 to 100): Adjusts the balance between responsiveness and smoothness. JMA Power (default: 1, range: 0.1+): Controls the strength of smoothing. Input Parameters OBV MA Length (default: 10): The lookback period for smoothing the OBV. Higher values produce smoother results but increase lag. OBV MA Type (default: JMA): Selects the moving average type from the eight options listed above. Line Width (default: 2): Thickness of the OBV line on the chart. Bullish Color (default: Blue): Color of the OBV line when rising (indicating increasing volume). Bearish Color (default: Red): Color of the OBV line when falling (indicating decreasing volume). JMA Phase (default: 50): Adjusts the JMA’s responsiveness (used only when JMA is selected). JMA Power (default: 1): Adjusts the JMA’s smoothing strength (used only when JMA is selected). VIDYA Alpha (default: 0.2): Controls the sensitivity of VIDYA to market volatility (used only when VIDYA is selected). How to Use Add the indicator to your TradingView chart. It will overlay directly on the price chart, aligned with the price scale. Adjust the OBV MA Type to select your preferred smoothing method based on your trading style (e.g., JMA for low lag, TMA for smoothness). Modify the OBV MA Length to balance responsiveness and noise reduction. Shorter periods (e.g., 5–10) are better for short-term trading, while longer periods (e.g., 20–50) suit longer-term analysis. Use the Bullish Color and Bearish Color to visually distinguish rising and falling volume trends. For JMA or VIDYA, fine-tune the JMA Phase, JMA Power, or VIDYA Alpha to optimize the indicator for specific market conditions. Interpret the OBV line in relation to price: Watch for price pushing the OBV line upward (rising volume) or moving above it (falling volume). Note crossings of the OBV line to identify balance points and compare with prior crossings to gauge momentum shifts. Combine with other technical tools (e.g., support/resistance levels, trendlines) for a comprehensive trading strategy. Notes This indicator is designed to work on any timeframe and market, but its effectiveness depends on the chosen moving average type and parameters. Experiment with different MA types and lengths to find the best fit for your trading approach. The indicator is licensed under the Mozilla Public License 2.0 and copyrighted by TradingStrategyCourses © 2025.
Penunjuk Pine Script®
oleh SYNC-AND-TRADE
Сила быков и медведейThe indicator is based on the idea that the buyer's strength is represented on the chart as the distance from the bar's minimum to the close, and the seller's strength as the distance from the bar's maximum to the close. The indicator finds the difference between the buyer's and seller's strength for each bar, and then the arithmetic mean for the given period. If the indicator value is above 0, then the buyer was stronger than the seller over the given period. If the indicator value is below 0, then the seller was stronger than the buyer over the given period.
Penunjuk Pine Script®
oleh induszaordu