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Moving Averages

RSI and MA Band📊 RSI with Gradient Fill 🔧 Features: 1) Two Customizable RSIs -RSI1 (default length: 5) -RSI2 (default length: 21) Both are calculated separately and displayed in black. 2) Dynamic Gradient Fill between RSI1-RSI2 and MA1-MA2 Helps visually identify divergence and convergence behavior between the RSIs. 3) Overbought and Oversold Zones with Visual Gradients ✅ Classic Zones: -Overbought above 70 -Oversold below 30 ✅ Extended Zones: -Extreme Overbought above 85 -Extreme Oversold below 15 Horizontal Support/Resistance Lines for RSI Lines at 15, 30, 50, 70, and 85 clearly mark RSI ranges. 4) Moving Averages on RSI: Ability to enable two MAs on RSI1 and RSI2: -Selectable type (SMA, EMA, SMMA, WMA, VWMA) -Customizable lengths -Displayed in yellow. 5) Fill Between MAs Highlights divergence or alignment between moving averages applied to RSI. 6) Crossover Detection with Visual Indicators 🟣 Purple triangles when RSI1 crosses RSI2. 🟢 Green triangles when MA1 crosses MA2. -------------------------------------------- -------------------------------------------- 1) Identifying Trend Strength or Potential Reversals 2) Crossovers between RSI1 and RSI2 may indicate short-term momentum shifts. 3) Gradient fills help easily visualize significant divergences. 4) Entry/Exit SL and TP Signals 5) Overbought/Oversold zones (especially extended ones) offer early signals for possible reversals or sideways phases. 6) Momentum Filtering with Moving Averages 7) Smooths out RSI "noise" and reveals more sustained RSI trends. 8) MA crossovers provide stronger confirmation of momentum. 9) Dual RSIs + gradients + colored zones allow for quick market state interpretation at a glance, without visual clutter. -----🌟 Extremely intuitive and trader-friendly visual representation — built for quick decisions without sacrificing depth.-----
Pine Script® indicator
by THG_index
Polygot Moving AveragesDescription This is essentially a source merger of Bollinger Bands by Trading View and Simple Moving Averages by stoxxinbox. My additions and subtractions are minimal. There is the BB MA, which I default at 5d, and the other 4 averages are the standard 21, 50, 100, 200, day moving averages. I default the averaging method to WMA (Weighted Moving Average). The method of averaging can be changed as also can the lengths of the inputs to match user preferences. This is what I wanted for an indicator and didn't find. Usage The same as you would use any other BB or MA indicator. The benefit of this one is that it has 4 MAs, one MA with the Bollinger Bands attached, and the colours adjusted to be easy on the eyes when using high contrast themes, to be discernible yet sit quietly in the background with lines and candle sticks everywhere shouting for attention. I use it as a base first indicator which I can hide easily (imagine hiding five MA indicators individually constantly) when the more serious indicators come into play.
Pine Script® indicator
by homerow_j
1
Enhanced Bollinger Bands📈 *Enhanced Bollinger Bands – Custom Indicator* This custom indicator is a more flexible and informative version of the traditional *Bollinger Bands*, designed to help traders better visualize price volatility, trend direction, and breakout signals. --- 🔍 Key Features: ✅ *Multiple Moving Average Options* Choose between: - *SMA (Simple Moving Average)* - *EMA (Exponential Moving Average)* - *WMA (Weighted Moving Average)* This allows you to tailor the indicator to your trading strategy. ✅ *Dynamic Bands Based on Volatility* The upper and lower bands are calculated using a user-defined standard deviation multiplier, showing volatility around the selected moving average. ✅ *Color-Coded Trend Visualization* The bands change color based on the slope of the moving average: - 🟢 *Green* when the trend is up - 🔴 *Red* when the trend is down - ⚪ *Gray* when the trend is flat This helps traders visually confirm trend direction. ✅ *Optional Band Fill* You can enable a shaded area between the upper and lower bands, making it easier to identify *volatility squeezes* and *expansions*. ✅ *Breakout Signal Arrows* Automatic signal arrows appear when: - 📈 Price *crosses above* the upper band (potential breakout) - 📉 Price *crosses below* the lower band (potential breakdown) These signals can help spot strong momentum entries. --- ⚙️ Inputs: - *MA Type:* SMA / EMA / WMA - *Length:* Period for the moving average and standard deviation - *Multiplier:* Standard deviation multiplier for band width - *Source:*Price source (default: close) - *Toggle Fill:* Turn band fill on/off - *Toggle Signals:* Show or hide breakout arrows --- 🧠 How to Use: - Use band *tightening* as a sign of low volatility (possible breakout setup). - Use band *expansion* to confirm high momentum moves. - Use signal arrows for early entries on momentum plays. - Combine with RSI, MACD, or volume indicators for confluence. --- Let me know if you want to write a version tailored for publishing on TradingView, including tags and disclaimers.
Pine Script® indicator
by Peter_Wade
Uptrick: Dynamic Z-Score DeviationOverview Uptrick: Dynamic Z‑Score Deviation is a trading indicator built in Pine Script that combines statistical filters and adaptive smoothing to highlight potential reversal points in price action. It combines a hybrid moving average, dual Z‑Score analysis on both price and RSI, and visual enhancements like slope‑based coloring, ATR‑based shadow bands, and dynamically scaled reversal signals. Introduction Statistical indicators like Z‑Scores measure how far a value deviates from its average relative to the typical variation (standard deviation). Standard deviation quantifies how dispersed a set of values is around its mean. A Z‑Score of +2 indicates a value two standard deviations above the mean, while -2 is two below. Traders use Z‑Scores to spot unusually high or low readings that may signal overbought or oversold conditions. Moving averages smooth out price data to reveal trends. The Arnaud Legoux Moving Average (ALMA) reduces lag and noise through weighted averaging. A Zero‑Lag EMA (approximated here using a time‑shifted EMA) seeks to further minimize delay in following price. The RSI (Relative Strength Index) is a momentum oscillator that measures recent gains against losses over a set period. ATR (Average True Range) gauges market volatility by averaging the range between high and low over a lookback period. Shadow bands built using ATR give a visual mood of volatility around a central trend line. Together, these tools inform a dynamic but statistically grounded view of market extremes. Purpose The main goal of this indicator is to help traders spot short‑term reversal opportunities on lower timeframes. By requiring both price and momentum (RSI) to exhibit statistically significant deviations from their norms, it filters out weak setups and focuses on higher‑probability mean‑reversion zones. Reversal signals appear when price deviates far enough from its hybrid moving average and RSI deviates similarly in the same direction. This makes it suitable for discretionary traders seeking clean entry cues in volatile environments. Originality and Uniqueness Uptrick: Dynamic Z‑Score Deviation distinguishes itself from standard reversal or mean‑reversion tools by combining several elements into a single framework: A composite moving average (ALMA + Zero‑Lag EMA) for a smooth yet responsive baseline Dual Z‑Score filters on price and RSI rather than relying on a single measure Adaptive visual elements, including slope‑aware coloring, multi‑layer ATR shadows, and signal sizing based on combined Z‑Score magnitude Most indicators focus on one aspect—price envelopes or RSI thresholds—whereas Uptrick: Dynamic Z‑Score Deviation requires both layers to align before signaling. Its visual design aids quick interpretation without overwhelming the chart. Why these indicators were merged Every component in Uptrick: Dynamic Z‑Score Deviation has a purpose: • ALMA: provides a smooth moving average with reduced lag and fewer false crossovers than a simple SMA or EMA. • Zero‑Lag EMA (ZLMA approximation): further reduces the delay relative to price by applying a time shift to EMA inputs. This keeps the composite MA closer to current price action. • RSI and its EMA filter: RSI measures momentum. Applying an EMA filter on RSI smooths out false spikes and confirms genuine overbought or oversold momentum. • Dual Z‑Scores: computing Z‑Scores on both the distance between price and the composite MA, and on smoothed RSI, ensures that signals only fire when both price and momentum are unusually stretched. • ATR bands: using ATR‑based shadow layers visualizes volatility around the MA, guiding traders on potential support and resistance zones. At the end, these pieces merge into a single indicator that detects statistically significant mean reversions while staying adaptive to real‑time volatility and momentum. Calculations 1. Compute ALMA over the chosen MA length, offset, and sigma. 2. Approximate ZLMA by applying EMA to twice the price minus the price shifted by the MA length. 3. Calculate the composite moving average as the average of ALMA and ZLMA. 4. Compute raw RSI and smooth it with ALMA. Apply an EMA filter to raw RSI to reduce noise. 5. For both price and smoothed RSI, calculate the mean and standard deviation over the Z‑Score lookback period. 6. Compute Z‑Scores: • z_price = (current price − composite MA mean) / standard deviation of price deviations • z_rsi = (smoothed RSI − mean RSI) / standard deviation of RSI 7. Determine reversal conditions: both Z‑Scores exceed their thresholds in the same direction, RSI EMA is in oversold/overbought zones (below 40 or above 60), and price movement confirms directionality. 8. Compute signal strength as the sum of the absolute Z‑Scores, then classify into weak, medium, or strong. 9. Calculate ATR over the chosen period and multiply by layer multipliers to form shadow widths. 10.Derive slope over the chosen slope length and color the MA line and bars based on direction, optionally smoothing color transitions via EMA on RGB channels. How this indicator actually works 1. The script begins by smoothing price data with ALMA and approximating a zero‑lag EMA, then averaging them for the main MA. 2. RSI is calculated, then smoothed and filtered. 3. Using a rolling window, the script computes statistical measures for both price deviations and RSI. 4. Z‑Scores tell how far current values lie from their recent norms. 5. When both Z‑Scores cross configured thresholds and momentum conditions align, reversal signals are flagged. 6. Signals are drawn with size and color reflecting strength. 7. The MA is plotted with dynamic coloring; ATR shadows are layered beneath to show volatility envelopes. 8. Bars can be colored to match MA slope, reinforcing trend context. 9. Alert conditions allow automated notifications when signals occur. Inputs Main Length: Main MA Length. Sets the period for ALMA and ZLMA. RSI Length: RSI Length. Determines the lookback for momentum calculations. Z-Score Lookback: Z‑Score Lookback. Window for mean and standard deviation computations. Price Z-Score Threshold: Price Z‑Score Threshold. Minimum deviation required for price. RSI Z-Score threshold: RSI Z‑Score Threshold. Minimum deviation required for momentum. RSI EMA Filter Length: RSI EMA Filter Length. Smooths raw RSI readings. ALMA Offset: Controls ALMA’s focal point in the window. ALMA Sigma: Adjusts ALMA’s smoothing strength. Show Reversal Signals : Toggle to display reversal signal markers. Slope Sensitivity: Length for slope calculation. Higher values smooth slope changes. Use Bar Coloring: Enables coloring of price bars based on MA slope. Show MA Shadow: Toggle for ATR‑based shadow bands. Shadow Layer Count: Number of shadow layers (1–4). Base Shadow ATR Multiplier: Multiplier for ATR when sizing the first band. Smooth Color Transitions (boolean): Smooths RGB transitions for line and shadows, if enabled. ATR Length for Shadow: ATR Period for computing volatility bands. Use Dynamic Signal Size: Toggles dynamic scaling of reversal symbols. Features Moving average smoothing: a hybrid of ALMA and Zero‑Lag EMA that balances responsiveness and noise reduction. Slope coloring: MA line and optionally price bars change color based on trend direction; color transitions can be smoothed for visual continuity. ATR shadow layers: translucent bands around the MA show volatility envelopes; up to four concentric layers help gauge distance from normal price swings. Dual Z‑Score filters: price and momentum must both deviate beyond thresholds to trigger signals, reducing false positives. Dynamic signal sizing: reversal markers scale in size based on the combined Z‑Score magnitude, making stronger signals more prominent. Adaptive visuals: optional smoothing of color channels creates gradient effects on lines and fills for a polished look. Alert conditions: built‑in buy and sell alerts notify traders when reversal setups emerge. Conclusion Uptrick: Dynamic Z‑Score Deviation delivers a structured way to identify short‑term reversal opportunities by fusing statistical rigor with adaptive smoothing and clear visual cues. It guides traders through multiple confirmation layers—hybrid moving average, dual Z‑Score analysis, momentum filtering, and volatility envelopes—while keeping the chart clean and informative. Disclaimer This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading carries risk and may not be suitable for all participants. Past performance is not indicative of future results. Always do your own analysis and risk management before making trading decisions.
Pine Script® indicator
by Uptrick
Bullish and Bearish Breakout Alert for Gold Futures PullbackBelow is a Pine Script (version 6) for TradingView that includes both bullish and bearish breakout conditions for my intraday trading strategy on micro gold futures (MGC). The strategy focuses on scalping two-legged pullbacks to the 20 EMA or key levels with breakout confirmation, tailored for the Apex Trader Funding $300K challenge. The script accounts for the Daily Sentiment Index (DSI) at 87 (overbought, favoring pullbacks). It generates alerts for placing stop-limit orders for 175 MGC contracts, ensuring compliance with Apex’s rules ($7,500 trailing threshold, $20,000 profit target, 4:59 PM ET close). Script Requirements Version: Pine Script v6 (latest for TradingView, April 2025). Purpose: Bullish: Alert when price breaks above a rejection candle’s high after a two-legged pullback to the 20 EMA in a bullish trend (price above 20 EMA, VWAP, higher highs/lows). Bearish: Alert when price breaks below a rejection candle’s low after a two-legged pullback to the 20 EMA in a bearish trend (price below 20 EMA, VWAP, lower highs/lows). Context: 5-minute MGC chart, U.S. session (8:30 AM–12:00 PM ET), avoiding overbought breakouts above $3,450 (DSI 87). Output: Alerts for stop-limit orders (e.g., “Buy: Stop=$3,377, Limit=$3,377.10” or “Sell: Stop=$3,447, Limit=$3,446.90”), quantity 175 MGC. Apex Compliance: 175-contract limit, stop-losses, one-directional news trading, close by 4:59 PM ET. How to Use the Script in TradingView 1. Add Script: Open TradingView (tradingview.com). Go to “Pine Editor” (bottom panel). Copy the script from the content. Click “Add to Chart” to apply to your MGC 5-minute chart . 2. Configure Chart: Symbol: MGC (Micro Gold Futures, CME, via Tradovate/Apex data feed). Timeframe: 5-minute (entries), 15-minute (trend confirmation, manually check). Indicators: Script plots 20 EMA and VWAP; add RSI (14) and volume manually if needed . 3. Set Alerts: Click the “Alert” icon (bell). Add two alerts: Bullish Breakout: Condition = “Bullish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.” Bearish Breakout: Condition = “Bearish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.” Customize messages (default provided) and set notifications (e.g., TradingView app, SMS). Example: Bullish alert at $3,377 prompts “Stop=$3,377, Limit=$3,377.10, Quantity=175 MGC” . 4. Execute Orders: Bullish: Alert triggers (e.g., stop $3,377, limit $3,377.10). In TradingView’s “Order Panel,” select “Stop-Limit,” set: Stop Price: $3,377. Limit Price: $3,377.10. Quantity: 175 MGC. Direction: Buy. Confirm via Tradovate. Add bracket order (OCO): Stop-loss: Sell 175 at $3,376.20 (8 ticks, $1,400 risk). Take-profit: Sell 87 at $3,378 (1:1), 88 at $3,379 (2:1) . Bearish: Alert triggers (e.g., stop $3,447, limit $3,446.90). Select “Stop-Limit,” set: Stop Price: $3,447. Limit Price: $3,446.90. Quantity: 175 MGC. Direction: Sell. Confirm via Tradovate. Add bracket order: Stop-loss: Buy 175 at $3,447.80 (8 ticks, $1,400 risk). Take-profit: Buy 87 at $3,446 (1:1), 88 at $3,445 (2:1) . 5. Monitor: Green triangles (bullish) or red triangles (bearish) confirm signals. Avoid bullish entries above $3,450 (DSI 87, overbought) or bearish entries below $3,296 (support) . Close trades by 4:59 PM ET (set 4:50 PM alert) .
Pine Script® indicator
by samjNQ
TrendBoxThis indicator is called "TrendBox," designed to help traders analyze daily price ranges using several technical indicators. Below is a breakdown of its functionality, purpose, and key components: Purpose The script overlays indicators on a chart to assess whether the price is above or below key levels: VWAP (Volume Weighted Average Price, based on the chart's timeframe). Daily Market Open (fetched from the daily timeframe). Daily 4-period VWMA (Volume Weighted Moving Average, fetched from the daily timeframe). VIX-based expected range (high and low levels calculated using the VIX index). It also displays a status box (optional) summarizing whether the price is above or below these levels, helping traders quickly evaluate market conditions.
Pine Script® indicator
by OptionScalps
ONE RING 8 MA Bands with RaysCycle analysis tool ... MAs: Eight moving averages (MA1–MA8) with customizable lengths, types (RMA, WMA, EMA, SMA), and offsets Bands: Upper/lower bands for each MA, calculated based on final_pctX (Percentage mode) or final_ptsX (Points mode), scaled by multiplier Rays: Forward-projected lines for bands, with customizable start points, styles (Solid, Dashed, Dotted), and lengths (up to 500 bars) Band Choices Manual: Uses individual inputs for band offsets Uniform: Sets all offsets to base_pct (e.g., 0.1%) or base_pts (e.g., 0.1 points) Linear: Scales linearly (e.g., base_pct * 1, base_pct * 2, base_pct * 3 ..., base_pct * 8) Exponential: Scales exponentially (e.g., base_pct * 1, base_pct * 2, base_pct * 4, base_pct * 8 ..., base_pct * 128) ATR-Based: Offsets are derived from the Average True Range (ATR), scaled by a linear factor. Dynamic bands that adapt to market conditions, useful for breakout or mean-reversion strategies. (final_pct1 = base_pct * atr, final_pct2 = base_pct * atr * 2, ..., final_pct8 = base_pct * atr * 8) Geometric: Offsets follow a geometric progression (e.g., base_pct * r^0, base_pct * r^1, base_pct * r^2, ..., where r is a ratio like 1.5) This is less aggressive than Exponential (which uses powers of 2) and provides a smoother progression. Example: If base_pct = 0.1, r = 1.5, then final_pct1 = 0.1%, final_pct2 = 0.15%, final_pct3 = 0.225%, ..., final_pct8 ≈ 1.71% Harmonic: Offsets are based on harmonic flavored ratios. final_pctX = base_pct * X / (9 - X), final_ptsX = base_pts * X / (9 - X) for X = 1 to 8 This creates a harmonic-like progression where offsets increase non-linearly, ensuring MA8 bands are wider than MA1 bands, and avoids duplicating the Linear choice above. Ex. offsets for base_pct = 0.1: MA1: ±0.0125% (0.1 * 1/8), MA2: ±0.0286% (0.1 * 2/7), MA3: ±0.05% (0.1 * 3/6), MA4: ±0.08% (0.1 * 4/5), MA5: ±0.125% (0.1 * 5/4), MA6: ±0.2% (0.1 * 6/3), MA7: ±0.35% (0.1 * 7/2), MA8: ±0.8% (0.1 * 8/1) Square Root: Offsets grow with the square root of the band index (e.g., base_pct * sqrt(1), base_pct * sqrt(2), ..., base_pct * sqrt(8)). This creates a gradual widening, less aggressive than Linear or Exponential. Set final_pct1 = base_pct * sqrt(1), final_pct2 = base_pct * sqrt(2), ..., final_pct8 = base_pct * sqrt(8). Example: If base_pct = 0.1, then final_pct1 = 0.1%, final_pct2 ≈ 0.141%, final_pct3 ≈ 0.173%, ..., final_pct8 ≈ 0.283%. Fibonacci: Uses Fibonacci ratios (e.g., base_pct * 1, base_pct * 1.618, base_pct * 2.618 Percentage vs. Points Toggle: In Percentage mode, bands are calculated as ma * (1 ± (final_pct / 100) * multiplier) In Points mode, bands are calculated as ma ± final_pts * multiplier, where final_pts is in price units. Threshold Setting for Slope: Threshold setting for determining when the slope would be significant enough to call it a change in direction. Can check efficiency by setting MA1 to color on slope temporarily Arrow table: Shows slope direction of 8 MAs using an Up or Down triangle, or shows Flat condition if no triangle.
Pine Script® indicator
by surfchaser
Trend Channel SwiftEdgeTrend Channel SwiftEdge The Trend Channel SwiftEdge is a powerful, visually striking tool designed to help traders identify trends and potential trade setups across multiple timeframes with a futuristic, tech-inspired design. This indicator combines a dynamic trend channel with a multi-timeframe trend dashboard and intelligent signal filtering to provide clear, actionable insights for both novice and experienced traders. Its unique neon-lit, holographic visuals give it a modern, cutting-edge feel, making your chart analysis both functional and visually engaging. What It Does This indicator identifies trends on your chart using a dynamic price channel and provides buy and sell signals based on trend alignments across multiple timeframes. It also features a dashboard that displays the trend direction (Up, Down, or Neutral) for six timeframes: 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, and 1-day. The signals are filtered using a user-selected higher timeframe to ensure they align with broader market trends, reducing noise and improving trade reliability. How It Works The Trend Channel SwiftEdge operates in three key steps: Dynamic Trend Channel: A moving average (MA) is calculated based on your chosen type (SMA, EMA, or WMA) and length (default is 14 periods). This MA forms the backbone of the trend channel. The channel’s upper and lower bounds are created by calculating the highest and lowest values of the MA over a period (default is 2x the MA length). These bounds help identify the trend: if the price is above the upper channel, the trend is Up; if below the lower channel, the trend is Down; otherwise, it’s Neutral. The MA and channel lines are plotted with neon colors (green for Up, red for Down, blue for the channel bounds) to create a holographic effect, with a glowing background fill between the channels to highlight the trend direction. Multi-Timeframe Trend Dashboard: The indicator analyzes trends across six timeframes (1M, 5M, 15M, 1H, 4H, D1) using the same trend channel logic. A dashboard in the top-right corner displays each timeframe’s trend direction with a futuristic design: neon green for Up, neon red for Down, and gray for Neutral, all set against a dark background with neon blue accents. Signal Generation with Higher Timeframe Filter: Buy and Sell signals are generated when the trend on the chart’s timeframe (e.g., 1M) aligns with a user-selected higher timeframe (e.g., 15M). A Buy signal ("🚀 SwiftEdge BUY") appears when the price crosses above the upper channel (indicating an Up trend) and the selected higher timeframe’s trend also turns Up. If the higher timeframe is Neutral, the indicator checks even higher timeframes (e.g., 1H and 4H for a 15M filter) to confirm the trend direction. A Sell signal ("🛑 SwiftEdge SELL") appears when the price crosses below the lower channel (indicating a Down trend) and the selected higher timeframe’s trend turns Down, with the same higher timeframe check for Neutral cases. Signals are displayed as neon-colored labels with emojis for a futuristic touch, making them easy to spot. Why This Combination? The combination of a dynamic trend channel, multi-timeframe analysis, and signal filtering in Trend Channel SwiftEdge is designed to provide a comprehensive view of market trends while reducing false signals. The trend channel identifies the primary trend on your chart, while the multi-timeframe dashboard ensures you’re aware of the broader market context. The signal filter leverages higher timeframes to confirm that your trades align with larger trends, which is particularly useful in volatile markets where smaller timeframes can be noisy. This synergy creates a balanced approach, blending short-term precision with long-term trend confirmation, all wrapped in a visually engaging tech-inspired design. How to Use It Add the Indicator: Apply Trend Channel SwiftEdge to your TradingView chart. Customize Settings: SwiftEdge Moving Average Type: Choose between SMA, EMA, or WMA (default is EMA) to adjust the trend channel’s sensitivity. SwiftEdge MA Length: Set the period for the moving average (default is 14). SwiftEdge Signal Filter Timeframe: Select a higher timeframe (1M, 5M, 15M, 1H, 4H, D1) to filter signals (default is 15M). For example, on a 1M chart, selecting 15M ensures signals align with the 15-minute trend. Show SwiftEdge Ribbon: Toggle the visibility of the trend channel’s moving average (default is true). Show SwiftEdge Background Glow: Toggle the glowing background fill between the channel bounds (default is true). Start/End Year: Set a time range for the indicator’s signals (default is 1900–2100). Interpret the Dashboard: Check the top-right dashboard to see the trend direction across all timeframes. Use this to understand the broader market context. Trade with Signals: Look for "🚀 SwiftEdge BUY" labels (neon green) below candles to enter long positions when the trend aligns across timeframes. Look for "🛑 SwiftEdge SELL" labels (neon red) above candles to enter short positions or exit longs. Ensure the signal aligns with your trading strategy and risk management. What Makes It Original? Trend Channel SwiftEdge stands out with its futuristic, tech-inspired design and multi-timeframe synergy. Unlike traditional trend indicators, it combines a visually striking neon aesthetic with practical functionality, making trend analysis both intuitive and engaging. The signal filtering mechanism, which checks higher timeframes dynamically, ensures trades are backed by broader market trends, reducing the risk of false signals. The dashboard provides a quick, at-a-glance view of trends across multiple timeframes, empowering traders to make informed decisions without needing to switch charts. This blend of advanced trend analysis, intelligent signal filtering, and a high-tech visual theme makes it a unique tool for modern traders. Notes Best used on trending markets; in choppy conditions, consider using higher timeframes for signal filtering to reduce noise. Adjust the MA length and signal timeframe based on your trading style (shorter for scalping, longer for swing trading). Why This Description Complies with TradingView House Rules What It Does: Clearly explains that the script identifies trends using a dynamic channel, provides buy/sell signals, and displays a multi-timeframe dashboard. How It Does It: Breaks down the process into three steps: trend channel calculation, multi-timeframe analysis, and signal generation with higher timeframe filtering. Explains the logic (e.g., price crossing the channel, trend alignment across timeframes) in simple terms. How to Use It: Provides step-by-step instructions on adding the indicator, customizing settings, interpreting the dashboard, and trading with signals. What Makes It Original: Highlights the unique tech-inspired design, the combination of trend channel and multi-timeframe filtering, and the dynamic higher timeframe check. Justifies the Combination: Explains why the trend channel, multi-timeframe dashboard, and signal filtering are used together: to balance short-term precision with long-term trend confirmation, reducing false signals. Self-Contained: All concepts (trend channel, multi-timeframe analysis, signal filtering) are explained within the description without requiring external research. Avoids technical jargon that would confuse non-Pine readers, focusing on user-friendly language. This updated description with the new name "Trend Channel SwiftEdge" should fully comply with TradingView’s House Rules. If you need further adjustments, let me know!
Pine Script® indicator
by SwiftEdge
Volume Weighted Median Price (VWMP)The volume is indeed crucial for confirming price moves and understanding market conviction. While many traders are familiar with VWAP (Volume Weighted Average Price), this indicator introduces a lesser-known but powerful cousin: the Volume Weighted Median Price (VWMP). What is VWMP? Unlike VWAP, which calculates the average price weighted by volume over a period, VWMP identifies the median price level weighted by volume. Think of it this way: If you line up all the trades within a specific lookback period, sorted by price, and then start accumulating the volume traded at each price level, the VWMP is the price level where 50% of the total volume occurred below it, and 50% occurred above it. It essentially finds the "middle ground" of trading activity based on where the bulk of the volume actually traded, not just the average price. Key Difference: VWMP vs. VWAP VWAP: Volume Weighted Average Price. Sensitive to outliers (single large trades at extreme prices can skew the average). VWMP: Volume Weighted Median Price. More robust to outliers. It represents the price that splits the period's volume distribution in half. Because it uses the median, VWMP can sometimes provide a more stable or representative level of the "typical" price where significant volume is changing hands, especially in volatile markets or when large, anomalous trades occur. How to Interpret and Use VWMP in trading The VWMP plots as a line on your chart, similar to a moving average or VWAP. Here are a few ways traders might use it: Dynamic Support and Resistance: Like VWAP, the VWMP line can act as a dynamic level of interest. Watch how price interacts with the VWMP. Consistent acceptance above VWMP might suggest bullish control and potential support. Consistent rejection or acceptance below VWMP might indicate bearish control and potential resistance. Trend Filter / Confirmation: Uptrend: Look for price consistently staying above the VWMP line. Pullbacks to the VWMP that hold could offer entry opportunities. Downtrend: Look for price consistently staying below the VWMP line. Rallies to the VWMP that fail could present shorting opportunities. Use it to filter trades: Only take long trades if price is above VWMP, and short trades if below. Mean Reversion Potential (Use with Caution): When price extends significantly far away from the VWMP, some traders might look for potential reversion back towards this volume-based median level. Important: This should not be used in isolation. Always look for confirmation from other indicators (like RSI, Stochastics, or candlestick patterns) before trading counter-trend reversions. Confluence with Other Indicators: VWMP works best when combined with other analysis tools. Look for confluence: Does the VWMP align with a key Fibonacci level, a standard moving average, or a prior support/resistance zone? This confluence strengthens the level's potential significance. Considerations Lookback Period: The length input is crucial. A shorter period makes VWMP more responsive to recent action; a longer period makes it smoother and reflects longer-term volume distribution. Experiment to find what suits your timeframe and trading style. Lagging Nature: Like all indicators based on past data, VWMP is inherently lagging. It reflects past volume distribution, not the future. Market Context: Its effectiveness can vary depending on the market conditions (trending vs. ranging) and the asset being traded.
Pine Script® indicator
by vsov
2
Profitable Hours EUR/USD Profitable Hours: It identifies the most profitable hours, based on significant price movements and high volatility (higher than the highest price movement and volatility over the last 24 periods). Hour Display in EET: The active hour is displayed in Eastern European Time (EET), which is adjusted based on the GMT offset you provide. This version of the script should help you visualize profitable hours for trading EUR/USD based on price movement and volatility, as well as time zone adjustments.
Pine Script® indicator
by CNC2788
HL2 Moving Average with BandsThis indicator is designed to assist traders in identifying potential trade entries and exits for S&P 500 (ES) and Nasdaq-100 (NQ) futures. It calculates a Simple Moving Average (SMA) based on the HL2 value (average of high and low prices) of the current candle over a user-defined lookback period (default: 200 periods). The indicator plots this SMA as a blue line, providing a smoothed reference for price trends. Additionally, it includes upper and lower bands calculated as a percentage (default: 0.5%) above and below the SMA, plotted as green and red lines, respectively. These bands act as dynamic thresholds to identify overbought or oversold conditions. The indicator generates trade signals based on price action relative to these bands: Long Entry: A green upward triangle is plotted below the candle when the close crosses above the upper band, signaling a potential buy. Close Long: A red square is plotted above the candle when the close crosses back below the upper band, indicating an exit for the long position. Short Entry: A red downward triangle is plotted above the candle when the close crosses below the lower band, signaling a potential sell. Close Short: A green square is plotted below the candle when the close crosses back above the lower band, indicating an exit for the short position. The script is customizable, allowing users to adjust the SMA length and band percentage to suit their trading style or market conditions. It is plotted as an overlay on the price chart for easy integration with other technical analysis tools. Recommended Time Frame and Settings for Trading S&P 500 and Nasdaq-100 Futures Based on research and market dynamics for S&P 500 (ES) and Nasdaq-100 (NQ) futures, the 5-minute chart is recommended as the optimal time frame for day trading with this indicator. This time frame strikes a balance between capturing intraday trends and filtering out excessive noise, which is critical for futures trading due to their high volatility and leverage. The 5-minute chart aligns well with periods of high liquidity and volatility, such as the U.S. market open (9:30 AM–11:00 AM EST) and the afternoon session (2:00 PM–4:00 PM EST), when institutional traders are most active. Why 5-minute? It allows traders to react to short-term price movements while avoiding the rapid fluctuations of 1-minute charts, which can be prone to false signals in choppy markets. It also provides enough data points to make the SMA and bands meaningful without the lag associated with longer time frames like 15-minute or hourly charts. Recommended Settings SMA Length: Set to 200 periods. This longer lookback period smooths the HL2 data, reducing noise and providing a reliable trend reference for the 5-minute chart. A 200-period SMA helps identify significant trend shifts without being overly sensitive to minor price fluctuations. Band Percentage: 0.5% is more suitable for the volatility of ES and NQ futures on a 5-minute chart, as it generates fewer but higher-probability signals. Wider bands (e.g., 1%) may miss short-term opportunities, while narrower bands (e.g., 0.1%) may produce excessive false signals. Trading Session Recommendations Futures markets for ES and NQ are open nearly 24 hours (Sunday 6:00 PM EST to Friday 5:00 PM EST, with a daily break from 4:00 PM–5:00 PM EST), but not all hours are equally optimal due to varying liquidity and volatility. The best times to trade with this indicator are: U.S. Market Open (9:30 AM–11:00 AM EST): This period is characterized by high volume and volatility, driven by the opening of U.S. equity markets and economic data releases (e.g., 8:30 AM EST reports like CPI or GDP). The indicator’s signals are more reliable during this window due to strong order flow and price momentum. Afternoon Session (2:00 PM–4:00 PM EST): After the lunchtime lull, volume picks up as institutional traders return, and news or FOMC announcements often drive price action. The indicator can capture breakout moves as prices test the upper or lower bands. Pre-Market (7:30 AM–9:30 AM EST): For traders comfortable with lower liquidity, this period can offer opportunities, especially around 8:30 AM EST economic releases. However, use tighter risk management due to wider spreads and potential volatility spikes. Additional Tips Avoid Low-Volume Periods: Steer clear of trading during low-liquidity hours, such as the overnight session (11:00 PM–3:00 AM EST), when spreads widen and price movements can be erratic, leading to false signals from the indicator. Combine with Other Tools: Enhance the indicator’s effectiveness by pairing it with support/resistance levels, Fibonacci retracements, or volume analysis to confirm signals. For example, a long entry signal above the upper band is stronger if it coincides with a breakout above a key resistance level. Risk Management: Given the leverage in futures (e.g., Micro E-mini contracts require ~$1,200 margin for ES), use tight stop-losses (e.g., below the lower band for longs or above the upper band for shorts) to manage risk. Aim for a risk-reward ratio of at least 1:2. Test Settings: Backtest the indicator on a demo account to optimize the SMA length and band percentage for your specific trading style and risk tolerance. Micro E-mini contracts (MES for S&P 500, MNQ for Nasdaq-100) are ideal for testing due to their lower capital requirements. Why These Settings and Time Frame? The 5-minute chart with a 200-period SMA and 0.5% bands is tailored for the volatility and liquidity of ES and NQ futures during peak trading hours. The longer SMA period ensures the indicator captures meaningful trends, while the 0.5% bands are tight enough to signal actionable breakouts but wide enough to avoid excessive whipsaws. Trading during high-volume sessions maximizes the likelihood of valid signals, as institutional participation drives clearer price action. By focusing on these settings and time frames, traders can leverage the indicator to capitalize on the dynamic price movements of S&P 500 and Nasdaq-100 futures while managing the inherent risks of these markets.
Pine Script® indicator
by BigGuavaTrading
Zen MIG Reversal V1**Zen MIG Reversal V1** Zen MIG Reversal is a pattern-based indicator that highlights rare reversal setups. It’s designed to support traders in visually identifying potential turning points, especially following strong momentum or gap-style moves. **How it works:** - **Bullish Reversal:** Detects 3 consecutive bullish candles. The third bar must have a low above the high of the first bar and below the 20 EMA. When this occurs, a light blue box is drawn across the 3-bar range, from high to the current bar’s low. A blue arrow appears below the prior bar. - **Bearish Reversal:** Detects 3 consecutive bearish candles. The third bar must have a high below the low of the first bar and above the 20 EMA. A light red box is drawn from low to the current bar’s high. A red arrow appears above the prior bar. - Optional settings allow you to: - Show or hide the EMA line - Toggle the arrows - Adjust smoothing settings for context **Purpose:** It’s best used for discretionary analysis, journaling, or studying price behavior in momentum-driven environments. **Disclaimer:** This script is for educational and informational purposes only. It does not provide financial advice or trade recommendations. Always backtest and use proper risk management before applying any indicator to live trading.
Pine Script® indicator
by Zen_Trading_Tech
4
QQE SHARPE MAX BOT v2 - Reversals + Trailing + VolumenThe **“QQE SHARPE MAX BOT v2”** strategy is based on detecting momentum shifts using the QQE Mod indicator, combined with a trend filter based on EMA and Heikin Ashi, as well as a volume filter that requires volume to be above its moving average to validate entries. It operates in both directions (long and short) with automatic reversals and manages risk through dynamic trailing stops based on ATR, allowing it to maximize profits during strong trends and avoid trading in low-interest market zones.
Pine Script® strategy
by gruizm89
3