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GStrategy with Long & Short WIF 1hThis is a 4-hour chart strategy for cryptocurrency trading, combining RSI-based divergence signals and trend filters. The script identifies bullish and bearish divergences, and executes long and short entries based on RSI levels. It limits holding time per trade, controls risk with stop-loss and take-profit levels, and provides visual markers for entries and exits. The strategy is designed for intraday to swing trading, aiming for consistent small gains with minimal losses.
Pine Script® stratejisi
Graali tarafından
ATR Display ShorcutATR Value Display - On-Chart Volatility Monitor Clean ATR display directly on your price chart - no extra panels needed! This indicator displays the current Average True Range (ATR) value as a clean table overlay on your price chart, eliminating the need for a separate indicator panel below your main chart. ✨ Key Features: On-chart display: ATR value shown directly on price chart Customizable positioning: Choose from 4 corner positions Clean design: Minimal, non-intrusive table format Real-time updates: Always shows the latest ATR value Adjustable period: Default 14-period, fully customizable 🎯 Perfect For: Position sizing calculations Stop-loss placement (1x, 1.5x, 2x ATR) Volatility assessment at a glance Clean chart setups without extra panels Quick reference during live trading 📊 How to Use: Add to chart Select your preferred table position Adjust ATR period if needed (default: 14) The current ATR value displays automatically 💡 Pro Tip: Use this ATR value to: Set stop-losses at 1.5x or 2x ATR distance Determine position size based on account risk Compare current volatility to historical levels Clean charts, clear data, better trading decisions. Compatible with all timeframes and instruments. Pine Script v6. Feel free to adjust this description to match your style or add any specific features you want to highlight!
Pine Script® göstergesi
darren9288 tarafından
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter Overview: This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals. How It Works: 1. Signal Initiation (e.g., 5-Minute Timeframe): Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30). Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe. 2. Signal Confirmation (15-Minute Timeframe): Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars). Long Confirmation: The 15-minute Stochastic RSI %K must be greater than or equal to its %D line. The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40). Short Confirmation: The 15-minute Stochastic RSI %K must be less than or equal to its %D line. The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60). 3. Filters: ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold. Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading. 4. Entry and Exit Logic: Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met. Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script. Key User-Adjustable Parameters: Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing. Signal Trigger & Confirmation: 5-minute %K trigger levels for long and short. 15-minute %K confirmation thresholds for long and short. Wait window (in 5-minute bars) for 15-minute confirmation. Filters: Enable/disable and configure the Signal Cooldown filter (minimum bars between signals). Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks). Strategy Parameters: Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks). Recommendations for Users: Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade. Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions. Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals. Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable. Disclaimer: This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Pine Script® stratejisi
Archertoria tarafından
Low Volatility Breakout Detector)This indicator is designed to visually identify potential breakouts from consolidation during periods of low volatility. It is based on classic Bollinger Bands and relative volume. Its primary purpose is not to generate buy or sell signals but to assist in spotting moments when the market exits a stagnation phase. Arrows appear only when the price breaks above the upper or below the lower Bollinger Band, the band width is below a specified threshold (expressed in percentage), and volume is above its moving average multiplied by a chosen multiplier (default is 1). This combination may indicate the start of a new impulse following a period of low activity. The chart background during low volatility is colored based on volume strength—the lower the volume during stagnation, the less transparent the background. This helps quickly spot unusual market behavior under seemingly calm conditions. The background opacity is dynamically scaled relative to the range of volumes over a selected period, which can be set manually (default is 50 bars). The indicator works best in classic horizontal consolidations, where price moves within a narrow range and volatility and volume clearly decline. It is not intended to detect breakouts from formations such as triangles or wedges, which may not always exhibit low volatility relative to Bollinger Bands. Settings allow you to adjust: Bollinger Band length and multiplier, Volatility threshold (in %), Background and arrow colors, Volume moving average length and multiplier, Bar range used for background opacity scaling. Note: For reliable results, it’s advisable to tailor the volatility threshold and volume/background ranges to the specific market and timeframe, as different instruments have distinct dynamics. If you want the background color to closely match the color of breakout arrows, you should set the same volume analysis period as the volume moving average length. Additional note: To achieve a cleaner chart and focus solely on breakout signals, you can disable the background and Bollinger Bands display in the settings. This will leave only the breakout arrows visible on the chart, providing a clearer and more readable market picture.
Pine Script® göstergesi
Uncle_the_shooter tarafından
Pi Cycle IndicatorThe Pi Cycle Top is a timing tool used to spot Bitcoin cycle peaks. It tracks the 111-day Simple Moving Average (SMA) and twice the 350-day SMA. When the faster 111-day SMA crosses above 2× the 350-day SMA, it has historically signaled major Bitcoin tops — often within days. Core Idea: Measures market euphoria and overheated conditions by blending price and time dynamics. Designed to catch tops when momentum peaks. Important: High historical accuracy, but not bulletproof. Works best as a macro cycle indicator — not for precise exits.
Pine Script® göstergesi
DecryptCapital tarafından
RSI TrendSignal🔍 **Smart RSI System – Free & Open Source** A powerful RSI-based indicator designed for traders who want clarity, simplicity, and filtered signals that *actually mean something*. --- ### 🎯 Key Features: ✅ Classic RSI with custom smoothing ✅ Optional Bollinger Bands over RSI ✅ Built-in Divergence Detection (Regular Bullish/Bearish) ✅ Dynamic Buy/Sell Conditions based on RSI + MA cross ✅ STAR signals for high-conviction entries (Overbought/Oversold + strength filter) ✅ ATR-based strength filter and custom visualizations ✅ Works great on **crypto**, **forex**, or **indices** ✅ Fully open-source and beginner-friendly! --- ### 📊 Recommended Timeframes: 15min, 1H, 4H, Daily – test and adjust settings for your style. --- ### ⚙️ How to Use: 1. Watch for **Buy/Sell** shapes when RSI confirms crossover with smoothed MA. 2. **STAR signals** are stronger – when RSI is above 70 or below 30 with momentum separation. 3. Divergences (optional) can confirm reversals. 4. Use ATR plot or your own trailing stop logic for exit strategy. --- 🔔 Alerts are built-in and ready to use. 📌 You can connect them to bots, webhooks, or Telegram (see alert templates in the script). --- 🧠 **Built by a trader, for traders.** Use this as a base and build your own version – or just trade it as is. --- --- 💬 **Feedback / Questions / Want to talk?** Feel free to message me on Telegram: 👉 (t.me) I'm happy to hear your feedback, help you with usage, or discuss future updates. You're not alone — I’m here to help. 📺 Demo & Tutorial coming soon on my YouTube channel – stay tuned!
Pine Script® göstergesi
setbet215 tarafından
200MA + MACD + 成交量放量警報🚀 200MA + MACD 金叉 + 成交量放量警報指標 🔥 簡介： 全幣種通用合約日內神器！ 結合 200MA 均線趨勢判斷、MACD 金叉死叉動能確認，再搭配 成交量放量過濾假突破，有效提升入場勝率！ 支援警報通知，自動提醒多空訊號。 👉 喜歡記得按 ❤️ 收藏，開圖表通知 🔔 🚀 200MA + MACD Golden Cross + Trading Volume Alert Indicator 🔥 Introduction: A universal tool for all currencies for intraday contracts! Combined with 200MA moving average trend judgment, MACD Golden Cross and Dead Cross kinetic energy confirmation, and combined with trading volume to filter false breakthroughs, it effectively improves the entry success rate! Supports alarm notifications and automatically reminds long and short signals. 👉 If you like it, remember to press ❤️ to collect it and open the chart notification 🔔
Pine Script® göstergesi
Matthew-sin tarafından
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \ \Overview\ The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise. \Calculation\ \ \ \Step 1: Weighted Price (P)\ For each bar t, compute a weighted price: ``` Pₜ = Hₜ + Lₜ + 2·Cₜ ``` where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t. Also compute Pₜ₋₁ for the prior bar. \ \Step 2: Raw Range (R)\ Calculate the two‐bar range: ``` Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁) ``` This Rₜ is used indirectly in the exponential dampener below. \ \Step 3: Normalize Volume (VolNorm)\ Compute an EMA of volume over n₁ bars (e.g. n₁=13): ``` EMA_Volₜ = EMA(Volume, n₁)ₜ ``` Then ``` VolNormₜ = Volumeₜ / EMA_Volₜ ``` If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero. \ \Step 4: BuyPower vs. SellPower\ Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically: • If Pₜ > Pₜ₋₁, ``` BuyPowerₜ = (VolNormₜ) / exp ``` otherwise ``` BuyPowerₜ = VolNormₜ. ``` • If Pₜ < Pₜ₋₁, ``` SellPowerₜ = (VolNormₜ) / exp ``` otherwise ``` SellPowerₜ = VolNormₜ. ``` Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10). \ \Step 5: Smooth Buy/Sell Power\ Apply a short EMA (n₂ bars, typically n₂=2) to each: ``` EMA_Buyₜ = EMA(BuyPower, n₂)ₜ EMA_Sellₜ = EMA(SellPower, n₂)ₜ ``` \ \Step 6: Raw Demand Index (DI\_raw)\ ``` DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ ``` A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite. \ \Step 7: Optional EMA Smoothing on DI (DI)\ To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5): ``` DIₜ = EMA(DI_raw, n₃)ₜ. ``` If n₃ = 1, DI = DI\_raw (no further smoothing). \ \Interpretation\ \ \ \Crossing Zero Line\ • DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal. • Crossing from above to below zero signals dominant selling pressure—potential Short signal. \ \DI\_raw vs. DI (EMA)\ • When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating. • When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration). \ \Divergences\ • If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal. • If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce. \ \Volume Confirmation\ • A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves. • Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout. \ \Usage Notes & Warnings\ \ \ \Never Use DI in Isolation\ It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades. \ \Parameter Selection\ • \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier. • \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing. • \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal. \ \Market Adaptation\ Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise. --- \In Summary\ The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Pine Script® göstergesi
TradeQUO tarafından
Pro SVP HD Strategy by ChatGPT//@version=5 indicator("Pro SVP HD Strategy by ChatGPT", overlay=true) // === INPUTS === emaLen = input.int(50, "EMA Length") svpHighColor = color.green svpLowColor = color.red // === SVP Based Key Levels (Manual Entry or External SVP Study Recommended) === poc = input.float(24700, "POC Level") vah = input.float(24750, "Value Area High") val = input.float(24580, "Value Area Low") // === PRICE === price = close // === EMA === emaLine = ta.ema(close, emaLen) plot(emaLine, "EMA 50", color=color.black) // === ZONE FILTERS === aboveVAH = price > vah belowVAL = price < val betweenVALVAH = price > val and price < vah // === CANDLE CONFIRMATION === bullishCandle = close > open and close > close bearishCandle = close < open and close < close // === ENTRY CONDITIONS === longCondition = belowVAL and bullishCandle and price > emaLine shortCondition = aboveVAH and bearishCandle and price < emaLine // === PLOT SHAPES === plotshape(longCondition, title="BUY", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small) plotshape(shortCondition, title="SELL", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small) // === ALERTS === alertcondition(longCondition, title="BUY ALERT", message="Pro SVP BUY SIGNAL") alertcondition(shortCondition, title="SELL ALERT", message="Pro SVP SELL SIGNAL") // === POC, VAH, VAL LINES === plot(poc, "POC", color=color.red, linewidth=2) plot(vah, "VAH", color=color.yellow, linewidth=2) plot(val, "VAL", color=color.yellow, linewidth=2) // === NO TRADE ZONE MARKER === betweenZone = betweenVALVAH ? price : na plot(betweenZone, title="No Trade Zone", style=plot.style_circles, color=color.gray)
Pine Script® göstergesi
yaadbatth tarafından
6MA Fill Indicator MTF (Paired, SMA/EMA Selectable)6MA Fill Indicator MTF（移動平均ペア塗り分けインジケーター） This indicator displays 3 customizable pairs of moving averages (MA), each on any selectable timeframe and type (SMA or EMA), with fill coloring to visually indicate trend direction between short and long MA within each pair. このインジケーターは、最大3ペア（計6本）の移動平均線を異なる時間軸と種類（SMAまたはEMA）で表示し、ペア間を色で塗り分けることで、トレンドバイアスの視認性を向上させます。 Features / 機能説明 3 MA pairs configurable individually (type, length, timeframe for each MA) 3つのMAペアそれぞれに対し、期間・種類・時間軸を個別に設定可能 Color fill between each MA pair Blue fill if short MA > long MA (bullish bias) Red fill if short MA < long MA (bearish bias) 各ペア内で短期MAが長期MAを上回ると青、下回ると赤で塗りつぶし表示 Multi-timeframe support 任意の時間足（MTF）に対応し、中長期のトレンド認識に有効 Use Cases / 主な用途 Multi-timeframe trend alignment 複数時間軸でのトレンド整合性確認 Trend-following strategy support トレンドフォロー系戦略の補助 Quick visual market context recognition トレンド環境の視覚的な高速把握
Pine Script® göstergesi
GyakubariMaster tarafından
VIDYA (Chande)This script brings you VIDYA – the Variable Index Dynamic Average, developed by Tushar Chande. It’s not your typical moving average. Unlike the standard SMA or EMA, VIDYA adapts its speed and smoothness based on real-time market momentum using the Chande Momentum Oscillator (CMO). Think of it like a moving average that gets faster during strong trends and slows down during sideways or choppy markets — just like how a smart trader would! 🧠 What Makes VIDYA Different? Traditional moving averages use fixed smoothing, so they lag more during big moves or chop during weak trends. VIDYA fixes that by adapting its behavior dynamically: When momentum is strong → VIDYA reacts faster 🚀 When momentum is weak → VIDYA smooths out the noise 🧘 ⚙️ How It Works (Explained Simply): 1️⃣ CMO Calculation (Chande Momentum Oscillator): We look at the past cmoLength candles (default 9) and: i) Add up all the positive price changes (gains) ii) Add up all the negative price changes (losses) iii) Use those to compute a normalized momentum score between -100 and +100 📌 CMO = (Gains - Losses) / (Gains + Losses) • This gives us a momentum reading that powers the next step. 2️⃣ Dynamic Alpha Smoothing: • We convert the absolute value of the CMO into an alpha — this is the "speed" of the VIDYA. 📌 Higher momentum = higher alpha → faster response 📌 Lower momentum = lower alpha → smoother behavior 3️⃣ VIDYA Formula: • Finally, we apply the smoothing: 📌 VIDYA = α × Price + (1 - α) × Previous VIDYA • This equation continuously adapts to market behavior — trending or ranging. 📊 What’s Plotted? 🟠 The VIDYA Line: A smooth, responsive line plotted on your price chart that adjusts in real-time with price momentum. 🔎 How to Use It: ✅ Use it like a moving average, but smarter: • Price > VIDYA and rising → Trend is likely up • Price < VIDYA and falling → Trend is likely down • Flat VIDYA = Possible consolidation or sideways market ✅ Combine with: • Breakout strategies (VIDYA confirms momentum) • Reversal entries (look for price crossing VIDYA) • Volatility filters (ignore signals when VIDYA flattens) 🧪 Bonus Tip: Pair this with a volume indicator (like my Volume Confirmation Bars or Volume Strength Highlight) to confirm whether momentum is backed by real participation or just a fakeout. 📩 Want alerts, dual-timeframe overlays, or VIDYA with other base inputs (like typical price or HLC3)? Let me know — happy to expand this for your setup! Stay adaptive, not reactive — trade smarter with VIDYA! 🧠📉📈
Pine Script® göstergesi
StrategicVault-999 tarafından
💩 W$J Meme Index 🧻The official W$J Meme Index — a custom-built, market cap–weighted index tracking the top 14 meme coins in real time. This indicator calculates the percent change from each coin’s initial price, applies a weight based on estimated market cap dominance, and combines them into a single index that starts at 100. Coins included: DOGE, SHIB, PEPE, WIF, BONK, FLOKI, BOME, MEME, MYRO, TOSHI, SPX6900, MOG, GIGA, and POPCAT. Designed by Wall Shit Journal for maximum degeneracy and absolute transparency. 💩 Degens Business. Trust the Index. This index is weighted. Not fair. Not equal. Just like life.
Pine Script® göstergesi
yayanajingle tarafından
Frequent Swing Trading Supertrend Strategy (Daily)Made By Riddhiman Bandyopadhyay How to Use- Set Chart to Daily: Ensure your TradingView chart is set to a daily timeframe (D). Add Strategy: Copy the Pine Script code into TradingView’s Pine Editor, compile, and add it to your NIFTY chart. Logic Behind the Backtest : Use TradingView’s Strategy Tester to evaluate performance over the past few months (e.g., March to June 2025). Check if the buy/sell signals occur more frequently and capture shorter swings. Fine-Tune: If signals are too frequent (leading to whipsaws), increase atr Period to 12 or factor to 3.5. If still not frequent enough, reduce maPeriod to 8 or lower the RSI thresholds to 65/35. Why This Should Work Better Increased Sensitivity: The Supertrend (ATR 10, factor 3.0) and 10-period SMA make the strategy more responsive to daily price movements, generating more signals. Fewer Restrictions: Removing the 50-period SMA filter and loosening entry conditions allow trades in a wider range of market conditions. Quicker Exits: The 3% profit target encourages faster exits, freeing up capital for new trades, thus increasing frequency. Balanced Filtering: The RSI (70/30) still filters out extreme conditions, but it’s less restrictive, allowing more trades.
Pine Script® stratejisi
mailganapatisolutions tarafından
Chaikin Oscillator Multi-Timeframe BiasOverview Chaikin Oscillator Multi-Timeframe Bias is an indicator designed to help traders align with institutional buying and selling activity by analyzing Chaikin Oscillator signals across two timeframes—a higher timeframe (HTF) for trend bias and a lower timeframe (LTF) for timing. This dual-confirmation model helps traders avoid false breakouts and trade in sync with market momentum and accumulation or distribution dynamics. Core Concepts The Chaikin Oscillator measures the momentum of accumulation and distribution based on price and volume. Institutional traders typically accumulate slowly and steadily, and the Chaikin Oscillator helps reveal this pattern. Multi-timeframe analysis confirms whether short-term price action supports the longer-term trend. This indicator applies a smoothing EMA to each Chaikin Oscillator to help confirm direction and reduce noise. How to Use the Indicator Start by selecting your timeframes. The higher timeframe, set by default to Daily, establishes the broader directional bias. The lower timeframe, defaulted to 30 minutes, identifies short-term momentum confirmation. The indicator displays one of five labels: CALL Bias, CALL Wait, PUT Bias, PUT Wait, or NEUTRAL. CALL Bias means both HTF and LTF are bullish, signaling a potential opportunity for long or call trades. CALL Wait indicates that the HTF is bullish, but the LTF hasn’t confirmed yet. PUT Bias signals bearish alignment in both HTF and LTF, while PUT Wait indicates HTF is bearish and LTF has not yet confirmed. NEUTRAL means there is no alignment between timeframes and directional trades are not advised. Interpretation When the Chaikin Oscillator is above zero and also above its EMA, this indicates bullish momentum and accumulation. When the oscillator is below zero and below its EMA, it suggests bearish momentum and distribution. Bias labels identify when both timeframes are aligned for a higher-probability directional setup. When a “Wait” label appears, it means one timeframe has confirmed bias but the other has not, suggesting the trader should monitor closely but delay entry. Notes This indicator includes alerts for both CALL and PUT bias confirmation when both timeframes are aligned. It works on all asset classes, including stocks, ETFs, cryptocurrencies, and futures. Timeframes are fully customizable, and users may explore combinations such as 1D and 1H, or 4H and 15M depending on their strategy. For best results, consider pairing this tool with volume, volatility, or price action analysis.
Pine Script® göstergesi
scottivey tarafından
Kaufman Trend Strategy# ✅ Kaufman Trend Strategy – Full Description (Script Publishing Version) **Kaufman Trend Strategy** is a dynamic trend-following strategy based on Kaufman Filter theory. It detects real-time trend momentum, reduces noise, and aims to enhance entry accuracy while optimizing risk. ⚠️ _For educational and research purposes only. Past performance does not guarantee future results._ --- ## 🎯 Strategy Objective - Smooth price noise using Kaufman Filter smoothing - Detect the strength and direction of trends with a normalized oscillator - Manage profits using multi-stage take-profits and adaptive ATR stop-loss logic --- ## ✨ Key Features - **Kaufman Filter Trend Detection** Extracts directional signal using a state space model. - **Multi-Stage Profit-Taking** Automatically takes partial profits based on color changes and zero-cross events. - **ATR-Based Volatility Stops** Stops adjust based on swing highs/lows and current market volatility. --- ## 📊 Entry & Exit Logic **Long Entry** - `trend_strength ≥ 60` - Green trend signal - Price above the Kaufman average **Short Entry** - `trend_strength ≤ -60` - Red trend signal - Price below the Kaufman average **Exit (Long/Short)** - Blue trend color → TP1 (50%) - Oscillator crosses 0 → TP2 (25%) - Trend weakens → Final exit (25%) - ATR + swing-based stop loss --- ## 💰 Risk Management - Initial capital: `$3,000` - Order size: `$100` per trade (realistic, low-risk sizing) - Commission: `0.002%` - Slippage: `2 ticks` - Pyramiding: `1` max position - Estimated risk/trade: `~0.1–0.5%` of equity > ⚠️ _No trade risks more than 5% of equity. This strategy follows TradingView script publishing rules._ --- ## ⚙️ Default Parameters - **1st Take Profit**: 50% - **2nd Take Profit**: 25% - **Final Exit**: 25% - **ATR Period**: 14 - **Swing Lookback**: 10 - **Entry Threshold**: ±60 - **Exit Threshold**: ±40 --- ## 📅 Backtest Summary - **Symbol**: USD/JPY - **Timeframe**: 1H - **Date Range**: Jan 3, 2022 – Jun 4, 2025 - **Trades**: 924 - **Win Rate**: 41.67% - **Profit Factor**: 1.108 - **Net Profit**: +$1,659.29 (+54.56%) - **Max Drawdown**: -$1,419.73 (-31.87%) --- ## ✅ Summary This strategy uses Kaufman filtering to detect market direction with reduced lag and increased smoothness. It’s built with visual clarity and strong trade management, making it practical for both beginners and advanced users. --- ## 📌 Disclaimer This script is for educational and informational purposes only and should not be considered financial advice. Use with proper risk controls and always test in a demo environment before live trading.
Pine Script® stratejisi
PakunFX tarafından
atr stop loss for double SMA v6Strategy Name atr stop loss for double SMA v6 Credit: This v6 update is based on Daveatt’s “BEST ATR Stop Multiple Strategy.” Core Logic Entry: Go long when the 15-period SMA crosses above the 45-period SMA; go short on the inverse cross. Stop-Loss: On entry, compute ATR(14)×2.0 and set a fixed stop at entry ± that amount. Stop remains static until hit. Trend Tracking: Uses barssince() to ensure only one active long or short position; stop is only active while that trend persists. Visualization Plots fast/slow SMA lines in teal/orange. On each entry bar, displays a label showing “ATR value” and “ATR×multiple” positioned at the 30-bar low (long) or high (short). Draws an “×” at the stop-price level in green (long) or red (short) while the position is open. Execution Settings Initial Capital: $100 000, Size = 100 shares per trade. Commission: 0.075% per trade. Pyramiding: 1. Calculations: Only on bar close (no intra-bar ticks). Usage Notes Static ATR stop adapts to volatility but does not trail. Ideal for trending, liquid markets (stocks, futures, FX). Adjust SMA lengths or ATR multiple for faster/slower signals.
Pine Script® stratejisi
genlius tarafından