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Synthetic Implied APROverview The Synthetic Implied APR is an artificial implied APR, designed to imitate the implied APR seen when trading cryptocurrency funding rates. It combines real-time funding rates with premium data to calculate an artificial market expectation of the annualized funding rate. The (actual) implied APR is the market's expectation of the annualized funding rate. This is dependent on bid/ask impacts of the implied APR, something which is currently unavailable to fetch with TradingView. In essence, an implied APR of X% means traders believe that asset's funding fees to average X% when annualized. What's important to understand, is that the actual value of the synthetic implied APR is not relevant. We only simply use its relative changes when we trade (i.e if it crosses above/below its MA for a given weight). Even for the same asset, the implied APRs will change depending on days to maturity. How it calculates The synthetic implied APR is calculated with these steps: Collects premium data from perpetual futures markets using optimized lower timeframe requests (check my 'Predicted Funding Rates' indicator) Calculates the funding rate by adding the premium to an interest rate component (clamped within exchange limits) Derives the underlying APR from the 8-hour funding rate (funding rate × 3 × 365) Apply a weighed formula that imitates both the direction (underlying APR) with the volatility of prices (from the premium index and funding) premium_component = (prem_avg / 50 ) * 365 weighedprem = (weight * fr) + ((1 - weight) * apr) + (premium_component * 0.3) impliedAPR = math.avg(weighedprem, ta.sma(apr, maLength)) How to use it: Generally Preface: Funding rates are an indication of market sentiment If funding is positive, generally the market is bullish as longs are willing to pay shorts funding If funding is negative, generally the market is bearish as shorts are willing to pay longs funding So, this script can be used like a typical oscillator: Bullish: If implied APR > MA OR if implied APR MA is green Bearish: If implied APR < MA OR if implied APR MA is red The components: Synthetic Implied APR: The main metric. At current setting of 0.7, it imitates volatility Weight: The higher the value, the smoother the synthetic implied APR is (and MA too). This value is very important to the imitation. At 0.7, it imitates the actual volatility of the implied APR. At weight = 1, it becomes very smooth. Perfect for trading Synthetic Implied APR Moving Average: A moving average of the Synthetic implied APR. Can choose from multiple selections, (SMA, EMA, WMA, HMA, VWMA, RMA) How to use it: Trading Funding When trading funding there're multiple ways to use it with different settings Trade funding rates with trend changes Settings: Weight = 1 Method 1: When the implied APR MA turns green, long funding rates (or short if red) Method 2: When the implied APR crosses above the MA, long funding rates (or short when crosses below) Trade funding rates with MA pullbacks Settings: Weight = 0.7, timeframe 15m In an uptrend: When implied APR crosses below then above the script, long funding opportunity In an downtrend: When implied APR crosses above then below the script, shortfunding opportunity You can determine the trend with the method before, using a weight of 1 To trade funding rates, it's best to have these 3 scripts at these settings: Predicted Funding Rates: This allows you to see the predicted funding rates and see if they've maxxed out for added confluence too (+/-0.01% usually for Binance BTC futures) Synthetic implied APR: At weight 1, the MA provides a good trend (whether close above/below or colour change) Synthetic implied APR: At weight 0.7, it provides a good imitation of volatility How to use it: Trading Futures When trading futures: You can determine roughly what the trend is, if the assumption is made that funding rates can help identify trends if used as a sentiment indicator. It should be supplemented with traditional trend trading methods To prevent whipsaws, weight should remain high Long trend: When the implied APR MA turns green OR when it crosses above its MA Short trend: When the implied APR MA turns red OR when it below above its MA Why it's original This indicator introduces a unique synthetic weighting system that combines funding rates, underlying APR, and premium components in a way not found in existing TradingView scripts. Trading funding rates is a niche area, there aren't that many scripts currently available. And to my knowledge, there's no synthetic implied APR scripts available on TradingView either. So I believe this script to be original in that sense. Notes Because it depends on my triangular weighting algos, optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off. Best timeframes for intraday trading using this are 15m or 1 hour The higher the timeframe, the lower the MA one should use. At 1 hour, 200 or higher is best. At say, 4h, length of 50 is best Only works for coins that have a Binance premium index Inputs Funding Period - Select between "1 Hour" or "8 Hour" funding cycles. 8 hours is standard for Binance Table - Toggle the information dashboard on/off to show or hide real-time metrics including funding rate, premium, and APR value Weight - Controls the balance between funding rate (higher values = smoother) and APR (lower values = more responsive) in the calculation, ranging from 0.0 to 1.0. Default is 0.7, this imitates the volatility Auto Timeframe Implied Length - Automatically calculates optimal smoothing length based on your chart timeframe for consistent behavior across different time periods Manual Implied Length - Sets a fixed smoothing length (in bars) when auto mode is disabled, with lower values being more responsive and higher values being smoother Show Implied APR MA - Displays an additional moving average line of the Synthetic Implied APR to help identify trend direction and crossover signals MA Type for Implied APR - Selects the calculation method (SMA, EMA, WMA, HMA, VWMA, or RMA) for the moving average, each offering different responsiveness and lag characteristics MA Length for Implied APR - Sets the lookback period (1-500 bars) for the moving average, with shorter lengths providing more signals and longer lengths filtering noise Show Underlying APR - Displays the raw APR calculation (without synthetic weighting) as a reference line to compare against the main indicator Bullish Color - Sets the color for positive values in the table and rising MA line Bearish Color - Sets the color for negative values in the table and falling MA line Table Background - Customizes the background color and transparency of the information dashboard Table Text Color - Sets the color for label text in the left column of the information table Table Text Size - Controls the font size of table text with options from Tiny to Huge
Penunjuk Pine Script®
oleh stormeta
Normalized WMA Oscillator | OquantNormalized WMA Oscillator | Oquant The Normalized WMA Oscillator is a trend-momentum indicator designed to help traders visualize the relative position of a Weighted Moving Average (WMA) within its recent price range. What is a WMA and How It Works: A Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent price data, making it more responsive to price changes compared to a simple moving average. Each price point in the lookback period is multiplied by a weighting factor, with the most recent prices having the highest weights. The WMA helps traders identify potential trends more quickly. This indicator applies min-max normalization to the standard WMA, scaling its values between 0 and 1 over a configurable lookback period. This allows traders to see whether the WMA is near its recent highs, lows, or midpoint, regardless of the absolute price level. Key Features: WMA Source Input: Choose price source for wma calculation. Customizable WMA Length: Adjust the sensitivity of the WMA. Min-Max Normalization Length: Smooth the scaling of WMA values between 0 and 1. Signal Thresholds: Configurable upper and lower thresholds to indicate potential entries. Visual Alerts: Color-coded oscillator and candles plot for bullish (green) and bearish (purple) signals. Alerts Ready: Built-in alert conditions for crossovers and crossunders of the oscillator. How It Works: Calculate the WMA on the selected source. Normalize its value using the minimum and maximum WMA values over the specified lookback period. Generate long signals when the normalized WMA moves above the upper threshold, and short signals when it moves below the lower threshold. Plot the oscillator and candles in green for bullish signals and purple for bearish signals. Inputs: Source: Data used for WMA calculation. WMA Length: Period for Weighted Moving Average. Min-Max Length: Lookback period for min-max scaling. Upper Threshold: Level above which a long signal is considered. Lower Threshold: Level below which a short signal is considered. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Penunjuk Pine Script®
oleh oquant
2
Adaptive Machine Learning Trading System [PhenLabs]📊Adaptive ML Trading System Version: PineScript™v6 📌Description The Adaptive ML Trading System is a sophisticated machine learning indicator that combines ensemble modeling with advanced technical analysis. This system uses XGBoost, Random Forest, and Neural Network algorithms to generate high-confidence trading signals while incorporating robust risk management features. Traders benefit from objective, data-driven decision-making that adapts to changing market conditions. 🚀Points of Innovation • Machine Learning Ensemble - Three integrated models (XGBoost, Random Forest, Neural Network) • Confidence-Based Trading - Only executes trades when ML confidence exceeds threshold • Dynamic Risk Management - ATR-based stop loss and max drawdown protection • Adaptive Position Sizing - Volatility-adjusted position sizing with confidence weighting • Real-Time Performance Metrics - Live tracking of win rate, Sharpe ratio, and performance • Multi-Timeframe Feature Analysis - Adaptive lookback periods for different market regimes 🔧Core Components • ML Ensemble Engine - Weighted combination of XGBoost, Random Forest, and Neural Network outputs • Feature Normalization System - Advanced preprocessing with custom tanh/sigmoid activation • Risk Management Module - Dynamic position sizing and drawdown protection • Performance Dashboard - Real-time metrics and risk status monitoring • Alert System - Comprehensive alert conditions for entries, exits, and risk events 🔥Key Features • High-confidence ML signals with customizable confidence thresholds • Multiple trading modes (Conservative, Balanced, Aggressive) for different risk profiles • Integrated stop loss and risk management with ATR-based calculations • Real-time performance metrics including win rate and Sharpe ratio • Comprehensive alert system with entry, exit, and risk management notifications • Visual confidence bands and threshold indicators for easy signal interpretation 🎨Visualization • ML Signal Line - Primary signal output ranging from -1 to +1 • Confidence Bands - Visual representation of model confidence levels • Threshold Lines - Customizable buy/sell threshold levels • Position Histogram - Current market position visualization • Performance Tables - Real-time metrics display in customizable positions 📖Usage Guidelines Model Configuration • Confidence Threshold: Default 0.55, Range 0.5-0.95 - Minimum confidence for signals • Model Sensitivity: Default 0.9, Range 0.1-2.0 - Adjusts signal sensitivity • Ensemble Mode: Conservative/Balanced/Aggressive - Trading style preference • Signal Threshold: Default 0.55, Range 0.3-0.9 - ML signal threshold for entries Risk Management • Position Size %: Default 10%, Range 1-50% - Portfolio percentage per trade • Max Drawdown %: Default 15%, Range 5-30% - Maximum allowed drawdown • Stop Loss ATR: Default 2.0, Range 0.5-5.0 - Stop loss in ATR multiples • Dynamic Sizing: Default true - Volatility-based position adjustment Display Settings • Show Signals: Default true - Display entry/exit signals • Show Threshold Signals: Default true - Display ±0.6 threshold crosses • Show Confidence Bands: Default true - Display ML confidence levels • Performance Dashboard: Default true - Show metrics table ✅Best Use Cases • Swing trading with 1-5 day holding periods • Trend-following strategies in established trends • Volatility breakout trading during high-confidence periods • Risk-adjusted position sizing for portfolio management • Multi-timeframe confirmation for existing strategies ⚠️Limitations • Requires sufficient historical data for accurate ML predictions • May experience low confidence periods in choppy markets • Performance varies across different asset classes and timeframes • Not suitable for very short-term scalping strategies • Requires understanding of basic risk management principles 💡What Makes This Unique • True machine learning ensemble with multiple model types • Confidence-based trading rather than simple signal generation • Integrated risk management with dynamic position sizing • Real-time performance tracking and metrics • Adaptive parameters that adjust to market conditions 🔬How It Works Feature Calculation: Computes 20+ technical features from price/volume data Feature Normalization: Applies custom normalization for ML compatibility Ensemble Prediction: Combines XGBoost, Random Forest, and Neural Network outputs Signal Generation: Produces confidence-weighted trading signals Risk Management: Applies position sizing and stop loss rules Execution: Generates alerts and visual signals based on thresholds 💡Note: This indicator works best on daily and 4-hour timeframes for most assets. Ensure you understand the risk management settings before live trading. The system includes automatic risk-off modes that halt trading during excessive drawdown periods.
Penunjuk Pine Script®
oleh PhenLabs
3
Predicted Funding RatesOverview The Predicted Funding Rates indicator calculates real-time funding rate estimates for perpetual futures contracts on Binance. It uses triangular weighting algorithms on multiple different timeframes to ensure an accurate prediction. Funding rates are periodic payments between long and short position holders in perpetual futures markets If positive, longs pay shorts (usually bullish) If negative, shorts pay longs (usually bearish) This is a prediction. Actual funding rates depend on the instantaneous premium index, derived from bid/ask impacts of futures. So whilst it may imitate it similarly, it won't be completely accurate. This only applies currently to Binance funding rates, as HyperLiquid premium data isn't available. Other Exchanges may be added if their premium data is uploaded. Methods Method 1: Collects premium 1-minunute data using triangular weighing over 8 hours. This granular method fills in predicted funding for 4h and less recent data Method 2: Multi-time frame approach. Daily uses 1 hour data in the calculation, 4h + timeframes use 15M data. This dynamic method fills in higher timeframes and parts where there's unavailable premium data on the 1min. How it works 1) Premium data is collected across multiple timeframes (depending on the timeframe) 2) Triangular weighing is applied to emphasize recent data points linearly Tri_Weighing = (data *1 + data *2 + data *3 + data *4) / (1+2+3+4) 3) Finally, the funding rate is calculated FundingRate = Premium + clamp(interest rate - Premium, -0.05, 0.05) where the interest rate is 0.01% as per Binance Triangular weighting is calculated on collected premium data, where recent data receives progressively higher weight (1, 2, 3, 4...). This linear weighting scheme provides responsiveness to recent market conditions while maintaining stability, similar to an exponential moving average but with predictable, linear characteristics A visual representation: Data points: ──────────────> Weights: 1 2 3 4 5 Importance: ▂ ▃ ▅ ▆ █ How to use it For futures traders: If funding is trending up, the market can be interpreted as being in a bull market If trending down, the market can be interpreted as being in a bear market Even used simply, it allows you to gauge roughly how well the market is performing per funding. It can basically be gauged as a sentiment indicator too For funding rate traders: If funding is up, it can indicate a long on implied APR values If funding is down, it can indicate a short on implied APR values It also includes an underlying APR, which is the annualized funding rate. For Binance, it is current funding * (24/8) * 365 For Position Traders: Monitor predicted funding rates before entering large positions. Extremely high positive rates (>0.05% for 8-hour periods) suggest overleveraged longs and potential reversal risk. Conversely, extreme negative rates indicate shorts dominance Table: Funding rate: Gives the predicted funding rate as a percentage Current premium: Displays the current premium (difference between perpetual futures price and the underlying spot) as a percentage Funding period: You can choose between 1 hour funding (HyperLiquid usually) and 8 hour funding (Binance) APR: Underlying annualized funding rate What makes it original Whilst some predicted funding scripts exist, some aren't as accurate or have gaps in data. And seeing as funding values are generally missing from TV tickers, this gives traders accessibility to the script when they would have to use other platforms Notes Currently only compatible with symbols that have Binance USDT premium indices Optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off Actual funding rates may differ Inputs Funding Period: Choose between "8 Hour" (standard Binance cycle) or "1 Hour" (divides the 8-hour rate by 8 for granular comparison) Plot Type: Display as "Funding Rate" (percentage per interval) or "APR" (annualized rate calculated as 8-hour rate × 3 × 365) Table: Toggle the information table showing current funding rate, premium, funding period, and APR in the top-right corner Positive Colour: Sets the colour for positive funding rates where longs pay shorts (default: #00ffbb turquoise) Negative Colour: Sets the colour for negative funding rates where shorts pay longs (default: red) Table Background: Controls the background colour and transparency of the information table (default: transparent dark blue) Table Text Colour: Sets the colour for all text labels in the information table (default: white) Table Text Size: Controls font size with options from Tiny to Huge, with Small as the default balance of readability and space
Penunjuk Pine Script®
oleh stormeta
3
RXTrend█ OVERVIEW The "RXTrend" indicator is a technical analysis tool based on a unique approach to trend identification using RSI values from overbought and oversold zones. Designed for traders seeking a precise tool to identify key market levels and trend direction, the indicator offers flexible settings, dynamic trend lines, candlestick coloring, and buy/sell signals, supported by alerts for key events. █ CONCEPTS "RXTrend" leverages the Relative Strength Index (RSI) to identify overbought and oversold zones, which are often significant areas on the chart due to potentially higher volume, increased volatility, or acting as pivot points. To address this, I created an indicator that uses RSI values from these zones, mapping them to price levels to determine the trend. Additionally, for a clearer market picture, boxes are added to highlight overbought and oversold zones on the chart, and candlestick coloring is based on the direction of the RSI moving average. This provides further confirmation of the trend direction and identifies potential correction or reversal points. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes. █ FEATURES - RSI Calculation: Calculates RSI based on the closing price over a specified period, with a default length of 14. - Trend Line: A smoothed trend line based on mapping RSI values from overbought (for downtrends) or oversold (for uptrends) zones to price levels. RSI values are transformed into prices using the price range from a selected period (default: 50 bars) and then smoothed to form the trend line. The line changes color based on the trend direction (blue for uptrend, orange for downtrend). - Candlestick Coloring: Option to color candles based on the direction of the RSI moving average (RSI MA). Candle colors align with the trend and box colors (blue for uptrend, orange for downtrend, gray for neutral). - Overbought and Oversold Zones: Identifies overbought (RSI > OB) and oversold (RSI < OS) levels, drawing dynamic boxes on the price chart to reflect these zones. Boxes update in real-time, adjusting to new highs and lows. - Buy and Sell Signals: Generates buy signals (blue "Buy" labels) when the price crosses above the smoothed oversold line and sell signals (orange "Sell" labels) when the price crosses below the smoothed overbought line. - Shadow Fill: Option to fill the space between the trend line and price (HL2) with adjustable transparency, aiding visual trend assessment. Alerts: Built-in alerts for: - Buy and sell signals. - Appearance of new overbought/oversold boxes. - RSI MA direction change (candle color change to uptrend or downtrend). Customization: Allows adjustment of RSI length, overbought/oversold levels, smoothing period, colors, box and label transparency, and the option to keep boxes after RSI returns to normal. █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: RSI Settings: - RSI Length: Sets the RSI calculation period (default: 14). - Overbought Level (OB): Sets the overbought threshold (default: 70). - Oversold Level (OS): Sets the oversold threshold (default: 30). Price Settings: - Price Range Lookback: Defines the period for calculating the price range (default: 50). Candle Coloring: - Color Candles: Enables/disables candle coloring based on RSI MA direction. - RSI MA Length: Sets the RSI moving average period (default: 21). Smoothing Settings: - Smoothing Length: Degree of trend line smoothing (default: 5). Colors: - Trend Colors: Customize colors for uptrend (default: blue), downtrend (default: orange), and shadow fill. Box Settings: - Box Transparency: Adjusts box transparency (0-100). - Box Colors: Sets colors for overbought (orange) and oversold (blue) zones. - Keep Boxes: Determines if boxes remain after RSI returns to normal. Signals: - Show Buy/Sell Signals: Enables/disables signal label display. - Label Transparency: Adjusts signal label transparency. Interpreting Signals: - Trend Line: Shows market direction (blue for uptrend, orange for downtrend). - Buy Signals: Blue "Buy" label appears when the price crosses above the smoothed oversold line, signaling a potential uptrend. - Sell Signals: Orange "Sell" label appears when the price crosses below the smoothed overbought line, signaling a potential downtrend. - Overbought/Oversold Boxes: Orange boxes indicate overbought zones (RSI > OB), blue boxes indicate oversold zones (RSI < OS). Boxes expand dynamically in real-time. - Candlestick Coloring: Candle colors align with the trend and box colors, reflecting RSI MA direction. - Alerts: Set up alerts in TradingView for buy/sell signals, new overbought/oversold boxes, or RSI MA direction changes. - Combining with Other Tools: Use the indicator alongside support/resistance levels, Fair Value Gaps (FVG), or other indicators to confirm signals. █ APPLICATIONS The "RXTrend" indicator is designed to identify key market zones and trend direction, making it useful for trend-following and reversal strategies. It enables: - Trend Confirmation: Candlestick coloring and the trend line help assess the dominant market direction, supporting entry or exit decisions. The trend line can act as a significant support/resistance level, and a price bounce from it may provide a good entry point, especially when confirmed by Fibonacci levels. Additionally, the appearance of overbought/oversold boxes combined with a change in candle color (RSI MA direction) may indicate an impending correction. This allows analysis of potential market overextension and correction endings, enabling multiple entries within a trend. - Overbought and Oversold Zone Identification: Boxes highlight potential reversal or correction points, especially when combined with support/resistance levels or FVG. - Signal-Based Strategies: Buy and sell signals can be used as entry points in a trend or as warnings of potential reversals. █ NOTES - The indicator is universal and works across all markets and timeframes due to its RSI-based and price-mapping logic. - Adjust settings (e.g., RSI length, OB/OS levels, smoothing) to suit your trading style and timeframe. - Use in conjunction with other technical analysis tools to enhance signal accuracy.
Penunjuk Pine Script®
oleh Uncle_the_shooter
Hedge Pressure Index (HPI)Hedge Pressure Index (HPI) Overview The Hedge Pressure Index (HPI) is a flow-aware indicator that fuses daily options Open Interest (OI) with intraday put/call volume to estimate the directional hedging pressure of market makers and dealers. It helps traders visualize whether options flow is creating mechanical buy/sell pressure in IWM, and when that pressure may be shifting. What HPI Shows Daily OI Baseline (white line): Net OI carried forward intraday (Put OI − λ × Call OI). Updated once daily before the open. Intraday Flow (teal line): Net put minus λ × call volume in real time. Smoothed to show underlying flow. Spread Histogram (gray): Divergence between intraday flow and daily OI. HPI Proxy Histogram (blue): Intraday hedge-pressure intensity. Strong extremes indicate heavy one-sided dealer hedging. Trading Signals Crossover: When intraday Volume line crosses above OI, it suggests bullish hedge pressure. When Volume line crosses below OI, it suggests bearish hedge pressure. Z-Score Extremes: HPI ≥ +1.5 → strong mechanical bid. HPI ≤ −1.5 → strong mechanical offer. Alerts: Built in for both crossovers and extreme readings. How to Use HPI 1. Confirmation Tool (recommended for most traders): Trade your usual price/technical setups. Use HPI as a confirmation: only take trades that align with the hedge pressure direction. 2. Flow Bias (advanced): Use HPI direction intraday as a standalone bias. Fade signals when the histogram mean-reverts or crosses zero. Best practice: Focus on the open and first 2 hours where hedging flows are most active. Combine with ATR/time-based stops. Inputs Demo Mode: If no OI/volume feed is set, the script uses chart volume for layout. λ (Call Weight): Adjusts how much call volume offsets put volume (default = 1.0). Smoothing Length: Smooths intraday flow line. Z-Score Lookback: Sets lookback window for HPI extremes. Custom Symbols: Daily Net OI (pre-open OI difference). Intraday Put Volume. Intraday Call Volume. Setup Instructions Add the indicator to an IWM chart. In Inputs, either keep Demo Mode ON (for layout) or enter your vendor’s Daily Net OI / Put Volume / Call Volume symbols. Set alerts for crossovers and strong HPI readings to catch flow shifts in real time. Optionally tune λ and smoothing to match your feed’s scale. Notes This is a proxy for dealer hedge pressure. For highest accuracy, replace the proxy histogram with gamma-weighted flow by strike/DTE when your data feed supports it. Demo mode is for visualization only; live use requires a valid OI and volume feed. Disclaimer This script is for educational and research purposes only. It is not financial advice. Options and derivatives carry significant risk. Always test in a demo environment before using live capital.
Penunjuk Pine Script®
oleh Marketscope
OBV Cloud v1.0 [PriceBlance]🌐 English OBV Cloud v1.0 – Free & Open-Source OBV Cloud v1.0 integrates On-Balance Volume (OBV) with a Cloud model and enhanced trend filters. It helps traders quickly identify: Money Flow Trend: OBV Cloud acts as a dynamic support/resistance zone. Trend Filters: EMA9 (short-term) and WMA45 (medium-term) directly applied on OBV. OBV–Price Divergence: Detects both regular and hidden bullish/bearish divergences. Trend Strength: Measured with ADX calculated on OBV. OBV Cloud is suitable for both swing and day trading, allowing traders to spot breakouts, reversals, or sustained trends through volume-based analysis.
Penunjuk Pine Script®
oleh priceblancetrading
Swing H1 + M15 ComboThis indicator only use to H1 & M15 timeframe ✅ Entry Guidelines Identify the Trend (H1 Swing Call) A confirmed Swing Buy on H1 sets the trend to bullish. A confirmed Swing Sell on H1 sets the trend to bearish. The trend only changes when a new confirmed swing signal closes on H1. Confirm with M15 On M15, wait for a buy signal if the H1 trend is bullish. On M15, wait for a sell signal if the H1 trend is bearish. ✅ How It Works H1 Swing Calls define the overall trend direction (bullish or bearish). M15 CE Signals confirm short-term entries in line with the H1 trend. A trade setup is only valid when both timeframes agree. 📈 Entry Strategy Buy Setup: H1 confirms a Swing Buy trend M15 prints a CE Buy signal Stop loss: below nearest swing low / structure Sell Setup: H1 confirms a Swing Sell trend M15 prints a CE Sell signal Stop loss: above nearest swing high / structure
Penunjuk Pine Script®
oleh NickEreyz
Custom MACD (Normalized by ATR)This is a modified version of the classic MACD indicator. Instead of using just the difference between EMA(12) and EMA(26), this version normalizes the MACD line by ATR(26) and scales it by 100: * 100 This adjustment makes the MACD relative to market volatility, allowing for easier comparison across assets and timeframes. The idea of normalizing MACD with ATR comes from Alex Spioglou, who suggested this improvement to enhance signal consistency in volatile markets. Plots include the ATR-normalized MACD line, the signal line, and the histogram, with rising/falling color cues and built-in alert conditions.
Penunjuk Pine Script®
oleh hazemstocks
CMC Macro Regime PanelOverview (what it is): A macro‑regime gate built entirely from TradingView-native symbols (CRYPTOCAP, FRED, DXY/VIX, HYG/LQD). It aggregates central‑bank liquidity (Fed balance sheet − RRP − Treasury General Account), USD strength, credit conditions, stablecoin flows/dominance, tech beta and BTC–NDX co‑move into one normalized score (CLRC). The panel outputs Risk‑ON/OFF regimes, an Early 3/5 pre‑signal, and an automatic BTC vs ETH vs ALTs preference. It is intentionally scoped to Daily & Weekly reads (no intraday timing). Publish with a clean chart and a clear description as per TradingView rules. TradingView Why we also use other TradingView screens (and why that is compliant) This script pulls data via request.security() from official TV symbols only; users often want to open the raw series on separate charts to sanity‑check: CRYPTOCAP indices: TOTAL, TOTAL2, TOTAL3 (market cap aggregates) and dominance tickers like BTC.D, USDT.D. Helpful for regime & rotation (ALTs vs BTC). TradingView provides definitions for crypto market cap and dominance symbols. TradingView +3 TradingView +3 TradingView +3 FRED releases: WALCL (Fed assets, weekly), RRPONTSYD (ON RRP, daily), WTREGEN (TGA, weekly), M2SL (M2, monthly). These are the official macro sources exposed on TV. FRED +3 FRED +3 FRED +3 Risk proxies: TVC:DXY (USD index), TVC:VIX (implied vol), AMEX:HYG/AMEX:LQD (credit), NASDAQ:NDX (tech beta), BINANCE:ETHBTC. VIX/NDX relationship is well-documented; VIX measures 30‑day expected S&P500 vol. TradingView +2 TradingView +2 Compliance note: Using multiple screens is optional for users, but it explains/justifies how components work together (a requirement for public scripts). Keep publication chart clean; use extra screens only to illustrate in the description. TradingView How it works (high level) Liquidity block (Weekly/Monthly) Net Liquidity = WALCL − RRPONTSYD − WTREGEN (YoY z‑score). WALCL is weekly (as of Wednesday) via H.4.1; RRP is daily; TGA is a Fed liability series. M2 YoY is monthly. FRED +3 FRED +3 FRED +3 Risk conditions (Daily) DXY 3‑month momentum (inverted), VIX level (inverted), Credit (HYG/LQD ratio or HY OAS). VIX is a 30‑day constant‑maturity implied vol index per Cboe methodology. Cboe +1 Crypto‑internal (Daily) Stablecoins (USDT+USDC+DAI 30‑day log change), USDT dominance (20‑day, inverted), TOTAL3 (63‑day momentum). Dominance symbols on TV follow a documented formula. TradingView Beta & co‑move (Daily) NDX 63‑day momentum, BTC↔NDX 90‑day correlation. All components become z‑scores (optionally clipped), weighted, missing inputs drop and weights renormalize. We never use lookahead; we confirm on bar close to avoid repainting per Pine docs (barstate.isconfirmed, multi‑TF). TradingView +2 TradingView +2 What you see on the chart White line (CLRC) = macro regime score. Background: Green = Risk‑ON, Red = Risk‑OFF, Teal = Early 3/5 (pre‑signal). Table: shows each component’s z‑score and the Preference: BTC / ETH / ALTs / Mixed. Signals & interpretation Designed for Daily (1D) and Weekly (1W) only. Regime gates (default Fast preset): Enter ON: CLRC ≥ +0.8; Hold ON while ≥ +0.5. Enter OFF: CLRC ≤ −1.0; Hold OFF while ≤ −0.5. 0 / ±1 reading: CLRC is a standardized composite. ~0 = neutral baseline (no macro edge). ≥ +1 = strong macro tailwind (≈ +1σ). ≤ −1 = strong headwind (≈ −1σ). Early 3/5 (teal): a fast pre‑signal when at least 3 of 5 daily checks align: USDT.D↓, DXY↓, VIX↓, HYG/LQD↑, ETHBTC↑ or TOTAL3↑. It often precedes a full ON flip—use for pre‑positioning rather than full sizing. BTC/ETH/ALTs selector (only when ON): ALTs when BTC.D↓ and (ETHBTC↑ or TOTAL3↑) ⇒ rotate down the risk curve. BTC when BTC.D↑ and ETHBTC↓ ⇒ keep it concentrated. ETH when ETHBTC↑ while BTC.D flat/up ⇒ add ETH beta. (Dominance mechanics are documented by TV.) TradingView Dissonance (incompatibility) rules — when to stand down Use these overrides to avoid false comfort: CLRC > +1 but USDT.D↑ and/or VIX spikes day‑over‑day → downgrade to Neutral; wait for USDT.D to stabilize and VIX to cool (VIX is a fear gauge of 30‑day expectation). Cboe Global Markets CLRC > +1 but DXY↑ sharply (USD squeeze) → size below normal; require DXY momentum to roll over. CLRC < −1 but Early 3/5 = true two days in a row → start reducing underweights; look for ON flip within a few bars. NetLiq improving (W) but credit (HYG/LQD) deteriorating (D) → treat as mixed regime; prefer BTC over ALTs. How to use (step‑by‑step) A. Read on Daily (1D) — main regime Open CRYPTOCAP:TOTAL3, 1D (panel applied). Wait for bar close (use alerts on confirmed bar). Pine docs recommend barstate.isconfirmed to avoid repainting on realtime bars. TradingView If ON, check Preference (BTC / ETH / ALTs). Then drop to 4H on your trading pair for micro entries (this indicator itself is not for intraday timing). B. Confirm weekly macro (1W) — once per week) Review WALCL/RRP/TGA after the H.4.1 release on Thursdays ~4:30 pm ET. WALCL is “Weekly, as of Wednesday”; M2 is Monthly—so do not expect daily responsiveness from these. Federal Reserve +2 FRED +2 Recommended check times (practical schedule) Daily regime read: right after your chart’s daily close (confirmed bar). For consistent timing across crypto, many users set chart timezone to UTC and read ~00:05 UTC; you can change chart timezone in TV’s settings. TradingView In‑day monitoring: optional spot checks 16:00 & 20:00 UTC (DXY/VIX move during US hours), but act only after the daily bar confirms. Weekly macro pass: Thu 21:30–22:30 UTC (after H.4.1 4:30 pm ET) or Fri after daily close, to let weekly FRED series propagate. Federal Reserve Limitations & data latency (be explicit) Higher‑TF data & confirmation: FRED weekly/monthly series will not reflect intraday risk in crypto; we aggregate them for regime, not for entry timing. Repainting 101: Realtime bars move until close. This script does not use lookahead and follows Pine guidance on multi‑TF series; still, always act on confirmed bars. TradingView +1 Public‑library compliance: Title EN‑only; description starts in EN; clean chart; justify component mash‑up; no lookahead; no unrealistic claims. TradingView Alerts you can use “Macro Risk‑ON (entry)” — fires on ON flip (confirmed bar). “Macro Risk‑OFF (entry)” — fires on OFF flip. “Early 3/5” — fires when the teal pre‑signal appears (not a regime flip). “Preference change” — BTC/ETH/ALTs toggles while ON. Publish note: Alerts are fine; just avoid implying guaranteed accuracy/performance. TradingView Background research (why these inputs matter) Liquidity → Crypto: Fed H.4.1 timing and series definitions (WALCL, RRP, TGA) formalize the “net liquidity” concept used here. FRED +3 Federal Reserve +3 FRED +3 Stablecoins ↔ Non‑stable crypto: empirical work shows bi‑directional causality between stablecoin market cap and non‑stable crypto cap; stablecoin growth co‑moves with broader crypto activity. Global liquidity link: world liquidity positively relates to total crypto market cap; lagged effects are observed at monthly horizons. VIX/Uncertainty effect: fear shocks impair BTC’s “safe haven” behavior; VIX is a meaningful risk‑off read.
Penunjuk Pine Script®
oleh seckinduran
Adaptive Fear & Greed Index with ML-Enhanced SD - HOSSAM Adaptive Fear and Greed Index with ML-Enhanced Standard Deviation 📊 Overview A sophisticated market sentiment indicator that combines traditional Fear and Greed Index methodology with machine learning-inspired adaptive algorithms. This tool dynamically adjusts to changing market conditions, providing more accurate sentiment readings and early warning signals. 🔥 Key Features Adaptive Standard Deviation: Automatically adjusts volatility bands based on market conditions VWAP Integration: Incorporates volume-weighted average price for better price context Machine Learning Elements: Self-adjusting parameters that learn from recent market behavior Multi-Regime Detection: Identifies high/low volatility environments Dynamic Weighting: Automatically adjusts component weights based on market performance Z-Score Analysis: Statistical significance measurement for deviations 📈 How It Works The indicator combines four key market components: Price Momentum with VWAP deviation Volume-Weighted Volatility RSI with Volume Confirmation Market Structure Analysis 🎯 Interpretation 0-30: Extreme Fear (Potential Buying Opportunity) 30-40: Fear 40-60: Neutral 60-70: Greed 70-100: Extreme Greed (Potential Selling Opportunity) ⚡ Unique Advantages Self-Adjusting Bands: SD bands expand during high volatility, contract during calm periods Regime Awareness: Different signals for high/low volatility environments Volume Validation: All components include volume confirmation Statistical Significance: Z-scores show how extreme current readings are 🚨 Alert Conditions Extreme greed/fear in high volatility regimes Statistical outliers (Z-score > 2.5) Trend acceleration signals 💡 Ideal For Crypto traders seeking sentiment-based entries/exits Swing traders looking for mean reversion opportunities Risk management and position sizing decisions Market regime identification ⚙️ Customization Adjustable parameters include lookback period, SD multiplier, smoothing, and ML learning rate to match your trading style. Category: Strategy & Sentiment Analysis Tags: #FearAndGreed #MarketSentiment #Volatility #Cryptocurrency #Trading #Indicator #MachineLearning #VWAP
Penunjuk Pine Script®
oleh hossamyossef701
Repulse OB/OS Z-Score (v3)🔹 What this script does This indicator is an enhanced version of the Repulse, originally developed by Eric Lefort. The Repulse measures bullish and bearish pressure in the market by analyzing price momentum and crowd behavior. In this version, I introduce a Z-Score transformation to the Repulse values. The Z-Score converts raw outputs into a standardized statistical scale, allowing traders to identify when pressure is abnormally high or low relative to historical conditions. 🔹 How it works Repulse Core: The original Repulse calculation compares buying vs. selling pressure, highlighting shifts in momentum. Z-Scoring Method: Repulse values are normalized around their mean and scaled by standard deviation. This transforms the indicator into a dimensionless metric, where: Positive Z-Scores indicate stronger-than-usual bullish pressure. Negative Z-Scores indicate stronger-than-usual bearish pressure. Bands: Thresholds such as ±1 or ±2 Z-Scores can help detect when pressure is stretched, potentially signaling exhaustion or reversal points. 🔹 Why it’s useful Statistical Clarity: Traders can instantly see whether current pressure is normal or extreme. Cross-Asset Comparisons: Because Z-Scores are standardized, signals can be compared across different markets or timeframes. Mean Reversion Tool: Extreme Z-Score values often precede turning points, making this a versatile addition to trend and momentum analysis. 🔹 How to use it Apply the indicator to any chart and timeframe. Watch for Z-Scores above +2 (possible overheated bullish pressure) or below –2 (possible oversold/exhaustion). Use these levels as contextual signals, not standalone triggers. Best results come from combining with price structure, support/resistance, or volume analysis. ⚠️ Note: This script does not predict price. It highlights statistical extremes in pressure to support decision-making. Always use in combination with other tools and risk management practices.
Penunjuk Pine Script®
oleh S0905B
FSVZO | Lyro RSFSVZO | Lyro RS This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format. Understanding the Indicator's Components The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart. The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation. Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend. Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions. Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations. Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane. White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend. Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average. Suggested Use and Interpretation Traders might use this indicator in several ways: Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend. Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal. Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios. Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal. Customization Options The indicator includes settings groups that allow you to adjust its behavior and appearance: FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements. Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off. Colors: Choose from several pre-set color palettes to suit your visual preferences. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Penunjuk Pine Script®
oleh LyroRS
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