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Institutional Order Block Indicator [IOB]🔍 Detects Institutional Activity Identifies bullish and bearish order blocks based on: High volume spikes (volume > 2× average) EMA crossovers Significant price movements 📊 Plots Order Blocks Draws green rectangles for bullish blocks (demand zones) Draws red rectangles for bearish blocks (supply zones) 🎯 Generates Trading Signals Long Entry: Institutional impact shifts from negative to positive Short Entry: Impact shifts from positive to negative Uses a cumulative impact score to measure pressure over time 💰 Risk Management Automatically calculates stop-loss (ATR-based) and take-profit (1.5× RR) Plots TP/SL lines and entry price 📈 Visual Trend Line Tracks institutional pressure direction with a color-coded line 🔔 Alerts Sends alerts for: New order block formation Long/Short entry signals ✅ Suitable for: Intraday & swing trading 📉 Works best on: 15m, 1H, 4H timeframes 🎯 Goal: High-probability trades based on smart money activity.
Penunjuk Pine Script®
oleh salimulhaq5
走過灬today - 零滞后交叉 V250723（三重指数移动平均）构建，并进行了零滞后处理。它通过计算两条不同周期（一条快线和一条慢线）的交叉来产生交易信号。 主要特点： 1. 使用零滞后来减少传统移动平均线的滞后性。 2. 提供多种数据源选择，包括常规价格、Heikin-Ashi（HA）价格以及经过平滑处理的Heikin-Ashi（HAB）价格。 3. 可以设置快速周期和慢速周期，当快线上穿慢线时产生买入信号，下穿时产生卖出信号。 4. 在图表上以不同颜色显示两条线，并且可以根据交叉情况为K线着色。 5. 可以显示交易信号（三角形标记）和设置警报。 使用步骤： 1. 将指标添加到图表。 2. 在设置中调整参数： - 数据源设置：选择计算TEMA的价格来源（例如收盘价、HA收盘价等）和HAB计算类型（AMA、T3、Kaufman）。 - 基本设置：设置快速周期（默认22）和慢速周期（默认144）。 - 移动平均输入：根据选择的HAB计算类型，可能需要设置相关参数（如KAMA的快速端和慢速端，T3的热值等）。 - 界面选项：选择是否着色K线，是否显示信号。 3. 观察图表上的两条线（快线和慢线）以及出现的信号标记。 信号规则： - 当快线（绿色）上穿慢线（白色）时，出现一个黄色的“多”字三角形（在K线下方），表示买入信号。 - 当快线下穿慢线时，出现一个粉色的“空”字三角形（在K线上方），表示卖出信号。 此外，该指标还设置了警报条件，可以在满足信号条件时触发警报。 (Triple Exponential Moving Average) with zero lag. It generates trading signals by calculating the crossover of two different periods (a fast line and a slow line). Main features: 1. Use zero lag to reduce the lag of traditional moving averages. 2. Provide a variety of data source options, including regular prices, Heikin-Ashi (HA) prices, and smoothed Heikin-Ashi (HAB) prices. 3. Fast and slow periods can be set, and a buy signal is generated when the fast line crosses the slow line, and a sell signal is generated when it crosses below. 4. Display two lines in different colors on the chart, and the K-line can be colored according to the crossover situation. 5. Trading signals (triangle marks) can be displayed and alerts can be set. Steps to use: 1. Add the indicator to the chart. 2. Adjust parameters in the settings: - Data source settings: Select the price source for calculating TEMA (such as closing price, HA closing price, etc.) and the HAB calculation type (AMA, T3, Kaufman). - Basic settings: Set the fast period (default 22) and slow period (default 144). - Moving average input: Depending on the selected HAB calculation type, you may need to set relevant parameters (such as the fast and slow ends of KAMA, the heat value of T3, etc.). - Interface options: Choose whether to color the K-line and whether to display the signal. 3. Observe the two lines (fast and slow) on the chart and the signal mark that appears. Signal rules: - When the fast line (green) crosses the slow line (white), a yellow "long" triangle appears (below the K-line), indicating a buy signal. - When the fast line crosses the slow line, a pink "empty" triangle appears (above the K-line), indicating a sell signal. In addition, the indicator also sets alarm conditions, which can trigger alarms when the signal conditions are met.
Penunjuk Pine Script®
oleh xiayubin1
Universal Bot [AVATrade - PineConnector Ready]//@version=5 strategy("Universal Bot ", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // === INPUTS === // emaLen = input.int(20, title="EMA Lengte") rsiLen = input.int(14, title="RSI Lengte") macdFast = input.int(12, title="MACD Fast") macdSlow = input.int(26, title="MACD Slow") macdSig = input.int(9, title="MACD Signaallijn") atrLen = input.int(14, title="ATR Lengte") riskUSD = input.float(5, title="Risico per trade ($)") accountUSD = input.float(500, title="Accountgrootte ($)") riskReward = input.float(2.0, title="Risk-Reward ratio") trailingPercent = input.float(0.5, title="Trailing stop (%)") // === INDICATOREN === // ema = ta.ema(close, emaLen) rsi = ta.rsi(close, rsiLen) = ta.macd(close, macdFast, macdSlow, macdSig) atr = ta.atr(atrLen) // === SIGNALEN === // longCond = ta.crossover(close, ema) and macdLine > signalLine and rsi > 55 shortCond = ta.crossunder(close, ema) and macdLine < signalLine and rsi < 45 // === POSITIEBEREKENING === // entryPrice = close stopLoss = atr takeProfit = atr * riskReward lotRaw = riskUSD / stopLoss lotFinal = lotRaw / 100000 // omzetten naar standaard lot voor brokers lotStr = str.tostring(lotFinal, "#.####") slLong = entryPrice - stopLoss tpLong = entryPrice + takeProfit slShort = entryPrice + stopLoss tpShort = entryPrice - takeProfit // === TRAILING STOP === // trailOffset = entryPrice * trailingPercent / 100 trailPips = trailOffset / syminfo.mintick // === STRATEGIE EN ALERTS === // if (longCond) strategy.entry("LONG", strategy.long) strategy.exit("TP/SL LONG", from_entry="LONG", limit=tpLong, stop=slLong, trail_points=trailPips, trail_offset=trailPips) alert_message = '{ "action": "buy", "symbol": "' + syminfo.ticker + '", "lot": ' + lotStr + ', "sl": ' + str.tostring(slLong) + ', "tp": ' + str.tostring(tpLong) + ', "trail": ' + str.tostring(trailingPercent) + ' }' alert(alert_message, alert.freq_once_per_bar) if (shortCond) strategy.entry("SHORT", strategy.short) strategy.exit("TP/SL SHORT", from_entry="SHORT", limit=tpShort, stop=slShort, trail_points=trailPips, trail_offset=trailPips) alert_message = '{ "action": "sell", "symbol": "' + syminfo.ticker + '", "lot": ' + lotStr + ', "sl": ' + str.tostring(slShort) + ', "tp": ' + str.tostring(tpShort) + ', "trail": ' + str.tostring(trailingPercent) + ' }' alert(alert_message, alert.freq_once_per_bar) // === VISUEEL === // plot(ema, title="EMA", color=color.orange) plotshape(longCond, title="BUY", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(shortCond, title="SELL", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Strategi Pine Script®
oleh SurichJ
Bitcoin Power Law ModelBitcoin Power Law Model with Cycle Predictions Scientific Price Modeling for Bitcoin This indicator implements **Dr. Giovanni Santostasi's Bitcoin Power Law Theory** - a discovery that Bitcoin's price follows mathematical laws similar to natural phenomena. Unlike traditional financial models, this treats Bitcoin as a scale-invariant system that grows predictably over time. What Makes This Special Dr. Santostasi, an astrophysicist who studied gravitational waves, discovered that Bitcoin's price forms a perfect straight line when plotted on a log-log scale over its entire 15-year history. This isn't just another technical indicator - it's a fundamental law that has held true through multiple 80%+ crashes and recoveries. Core Features Power Law Model - Orange Line: The power law trajectory showing Bitcoin's long-term growth path - Yellow Line: Fair value (geometric mean between support and resistance) - Green/Red Bands: Support and resistance levels that have historically contained price movements - Band Position %: Shows exactly where price sits within the power law channel (0-100%) How to Use It For Long-term Investors 1. Accumulate when price is near the green support line (band position < 20%) 2. Hold when price is between the bands 3. Consider profits when approaching red resistance (band position > 80%) 4. Never panic - the model shows $30K+ is now the permanent floor Key Metrics to Watch - **Band Position: <20% = Oversold, >80% = Overbought - Fair Value: Price above = Overvalued, below = Undervalued - Support Line: Breaking below suggests model invalidation Current Cycle Projections Based on the November 2022 bottom at ~$15,500: - Cycle Peak: ~$155,000-$230,000 (October 2025) - Next Bottom: ~$70,000-$100,000 (October 2026) - Long-term: $1 million by 2033 (power law projection) Customizable Settings Model Parameters - Intercept & Slope: Fine-tune the power law formula - Band Offsets: Adjust support/resistance distances Display Options - Toggle each visual element on/off - Show/hide future projections - Enable/disable cycle analysis - Customize halving markers Understanding the Math The model uses the formula: **Price = 10^(A + B × log10(days since genesis))** Where: - A = -17.01 (intercept) - B = 5.82 (slope) - Days counted from Bitcoin's genesis block (Jan 3, 2009) This creates parallel support/resistance lines in log-log space that have contained Bitcoin's price for 15+ years. Important 1.Not Financial Advice: This is a mathematical model, not a guarantee 2. Long-term Focus: Best suited for macro analysis, not day trading 3. Model Limitations: Past performance doesn't ensure future results 4. Volatility Expected: 50-80% drawdowns are normal within the model Background Dr. Giovanni Santostasi discovered this model while analyzing Bitcoin through the lens of physics. He found that Bitcoin behaves more like a city or organism than a financial asset, growing according to universal power laws found throughout
Penunjuk Pine Script®
oleh CryptoForMoney
Bitcoin Stock-to-Flow Model Price Bands# Bitcoin Stock-to-Flow Model Price Bands Overview This indicator implements the famous Stock-to-Flow (S2F) model created by PlanB (@100trillionUSD), which uses Bitcoin's scarcity to predict its long-term value. The S2F model has gained significant attention for its historical accuracy in capturing Bitcoin's price movements across multiple market cycles. What is Stock-to-Flow? Stock-to-Flow is a ratio that measures scarcity by dividing the current supply (stock) by the annual production (flow). The model suggests that as Bitcoin becomes scarcer through halving events, its value should increase proportionally. This indicator features: Dynamic S2F Calculation - Automatically calculates Bitcoin's current supply based on block height - Adjusts for halving events (every 210,000 blocks) - Updates the S2F ratio in real-time Visual Elements - Orange Line: S2F model price based on the formula: Price = 0.4 × S2F³ - Confidence Bands: Upper (red) and lower (green) bands showing expected price ranges - Colored Candles: Green when above model price, red when below - Info Table: Displays current S2F ratio, model price, actual price, and price multiple Customizable Parameters - Model Coefficient: Adjust the multiplier (default: 0.4) - Model Exponent: Modify the power factor (default: 3.0) - Band Width: Control confidence band spread (1-5 standard deviations) - Display Options: Toggle individual elements on/off Built-in Alerts - Price crossing above/below S2F model price - Price exceeding upper/lower confidence bands How to Use 1. Trend Identification: When price is above the orange S2F line, Bitcoin may be overvalued; below suggests undervaluation 2. Cycle Analysis: The model steps up at each halving, creating distinct price "floors" 3. Risk Management: Use confidence bands to identify extreme deviations from the model 4. Long-term Perspective: Best suited for macro analysis rather than short-term trading Important to understand: This is a model, not a guarantee. The S2F model: - Assumes scarcity is the primary driver of value - Doesn't account for demand-side factors - Has shown deviations during certain market conditions - Should be used alongside other analysis methods Model Performance Historically, the S2F model has captured major Bitcoin price movements: - 2013 Bull Run: Price followed model predictions - 2017 Peak: Reached model targets - 2021 Cycle: Initially tracked, then deviated - 2024-2025: Model suggests $500k-$1M potential Technical Details - Uses logarithmic regression similar to the original S2F model - Accounts for "lost" coins (est. 1M BTC from early mining) - Implements dynamic supply calculation through halving cycles - Confidence bands use log-normal distribution Best Timeframes - Weekly/Monthly: Ideal for long-term trend analysis Credits Based on the Stock-to-Flow model by PlanB (@100trillionUSD) Original article: "Modeling Bitcoin's Value with Scarcity" (2019)
Penunjuk Pine Script®
oleh CryptoForMoney
Bollinger Bands📊 Bollinger Bands Strategy: Ride the Waves of Volatility 🌊 Bollinger Bands are a powerful tool to identify overbought and oversold conditions, volatility breakouts, and price reversals. This strategy uses: 🔹 Middle Band – 20-period simple moving average 🔹 Upper & Lower Bands – 2 standard deviations away from the SMA 💡 Strategy Logic: Buy Entry: When price closes below the lower band and RSI < 30 → Expect mean reversion. Sell Entry: When price closes above the upper band and RSI > 70 → Possible pullback. Exit: Near middle band or opposite band. 📈 You can also use Bollinger Band squeezes to detect upcoming breakouts. Less distance = low volatility → Expansion = potential big move! 🧠 Great for swing trading or intraday scalping with proper risk management.
Penunjuk Pine Script®
oleh accountsbnlew
EMA 6/16/55/100/200 ฺBy Smurojคำอธิบายเป็นภาษาไทย ชุด EMA นี้ประกอบด้วยเส้นค่าเฉลี่ยเคลื่อนที่แบบเอ็กซ์โปเนนเชียล (EMA) ระยะเวลาต่าง ๆ ซึ่งถูกนำมาใช้เพื่อวิเคราะห์แนวโน้มราคาในระยะต่าง ๆ ดังนี้: EMA 6 และ 16: ใช้สำหรับดูแนวโน้มระยะสั้นและการเปลี่ยนแปลงราคาที่รวดเร็ว EMA 55: เป็นแนวโน้มระยะกลาง EMA 100 และ 200: เป็นแนวโน้มระยะยาว ซึ่งช่วยดูภาพรวมของแนวโน้มตลาดในระดับลึก การใช้งานในการเทรด: ถ้าราคาอยู่เหนือ EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาขึ้น ถ้าราคาอยู่ต่ำกว่า EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาลง การตัดกันของ EMA สั้นและยาว เช่น EMA 6 ตัด EMA 16 ขึ้นบน อาจเป็นสัญญาณซื้อ การตัดกันในทางตรงกันข้าม อาจเป็นสัญญาณขาย การใช้หลายเส้นช่วยยืนยันแนวโน้มและลดความผิดพลาดในการตัดสินใจ English Explanation This EMA set consists of various Exponential Moving Average lines over different periods, which are used to analyze price trends across various timeframes: EMA 6 and 16: For short-term trend analysis and quick price changes. EMA 55: Represents a medium-term trend. EMA 100 and 200: Indicate long-term trends, helping to view the overall market direction. How to use in trading: When price is above these EMA lines, it suggests an uptrend. When price is below these EMA lines, it indicates a downtrend. Crossovers between short and longer EMAs (e.g., EMA 6 crossing above EMA 16) can signal buy opportunities. Conversely, crossovers downward can signal sell opportunities. Using multiple EMA lines helps confirm the trend and reduce false signals.
Penunjuk Pine Script®
oleh smuroj
EMA 6/16/55/100/200คำอธิบายเป็นภาษาไทย ชุด EMA นี้ประกอบด้วยเส้นค่าเฉลี่ยเคลื่อนที่แบบเอ็กซ์โปเนนเชียล (EMA) ระยะเวลาต่าง ๆ ซึ่งถูกนำมาใช้เพื่อวิเคราะห์แนวโน้มราคาในระยะต่าง ๆ ดังนี้: EMA 6 และ 16: ใช้สำหรับดูแนวโน้มระยะสั้นและการเปลี่ยนแปลงราคาที่รวดเร็ว EMA 55: เป็นแนวโน้มระยะกลาง EMA 100 และ 200: เป็นแนวโน้มระยะยาว ซึ่งช่วยดูภาพรวมของแนวโน้มตลาดในระดับลึก การใช้งานในการเทรด: ถ้าราคาอยู่เหนือ EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาขึ้น ถ้าราคาอยู่ต่ำกว่า EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาลง การตัดกันของ EMA สั้นและยาว เช่น EMA 6 ตัด EMA 16 ขึ้นบน อาจเป็นสัญญาณซื้อ การตัดกันในทางตรงกันข้าม อาจเป็นสัญญาณขาย การใช้หลายเส้นช่วยยืนยันแนวโน้มและลดความผิดพลาดในการตัดสินใจ English Explanation This EMA set consists of various Exponential Moving Average lines over different periods, which are used to analyze price trends across various timeframes: EMA 6 and 16: For short-term trend analysis and quick price changes. EMA 55: Represents a medium-term trend. EMA 100 and 200: Indicate long-term trends, helping to view the overall market direction. How to use in trading: When price is above these EMA lines, it suggests an uptrend. When price is below these EMA lines, it indicates a downtrend. Crossovers between short and longer EMAs (e.g., EMA 6 crossing above EMA 16) can signal buy opportunities. Conversely, crossovers downward can signal sell opportunities. Using multiple EMA lines helps confirm the trend and reduce false signals.
Penunjuk Pine Script®
oleh smuroj
Makki MultiEdge Analyzer 2000This script combines Bollinger Band interactions, RSI momentum confirmation, EMA crossovers, and divergence detection to generate filtered BUY signals. It uses 5-minute and 15-minute timeframe logic to improve timing and reduce false entries. ### 🔹 BUY signal logic: A BUY label will only appear when: • Price is near the lower Bollinger Band • RSI shows a rebound or is climbing from oversold zones • There is a strong bullish candle, a golden cross (EMA), or a positive divergence • AND no overbought/exit filter is active ### 💎 Entry filter (diamond): Appears when a clean bounce is detected on the 5-minute chart. This is **not a BUY** but a preparation signal — useful to monitor for an upcoming opportunity. ### ⛔ Exit filter: Triggers when 15m RSI is overbought (>68), price touches the 15m upper Bollinger Band, and 5m momentum weakens. Blocks BUY signals and helps avoid entries during overextended moves. ### 🔺/🔻 Mild Support/Resistance markers: - **🔺 Green upward triangle:** appears when RSI rebound or mild support conditions exist, but not enough for a BUY - **🔻 Red downward triangle:** appears when bearish momentum, EMA crossdown, overbought RSI, or negative divergence is detected ### ❌ RSI Warnings: - **Orange X above the bar:** RSI > 75 (overbought warning) - **Orange X below the bar:** RSI < 25 (oversold warning) ### 🧠 Usage recommendation: - Wait for a 💎 as early preparation - Enter only if a BUY signal follows with no ⛔ warning present - Avoid BUYs that appear after ⛔ or during RSI > 75 (orange X) unless very strong reversal confirmation exists - 🔺 triangles can help monitor early support but are not sufficient alone ### 🕒 Timeframe: - Best used on 5-minute chart - Filtering logic pulls RSI and Bollinger data from 5m and 15m timeframes - Higher timeframes (15m–1H) can be used for overall trend direction All alerts are included for: BUY, entry filter (💎), exit warning (⛔), RSI warnings (❌), and support/resistance markers (🔺/🔻). This script is for educational purposes only and does not constitute financial advice.
Penunjuk Pine Script®
oleh makkik