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Bollinger Bands for STDDEV1,2,3Bollinger Bands with shaded areas representing different standard deviations. The shading becomes progressively darker as you move further away from the mean, (StdDev 1): These lines represent the Bollinger Bands at one standard deviation away from the moving average. They indicate a relatively narrow range of expected price movement. When prices move outside these bands, it can suggest a potential short-term overbought or oversold condition. (StdDev 2): Bollinger Bands at two standard deviations away from the moving average. They indicate a wider range of expected price movement. These bands are often used to identify more significant overbought or oversold conditions and potential trend reversals. This is also the area that is shaded. (StdDev 3): Bollinger Bands at three standard deviations away from the moving average. They indicate an even wider range of expected price movement. Prices rarely reach these bands, and when they do, it can signal extreme market conditions or strong trends.
Wskaźnik Pine Script™
od Mgt289
Cryptolabs Global Liquidity Cycle Momentum IndicatorCryptolabs Global Liquidity Cycle Momentum Indicator (LMI-BTC) This open-source indicator combines global central bank liquidity data with Bitcoin price movements to identify medium- to long-term market cycles and momentum phases. It is designed for traders who want to incorporate macroeconomic factors into their Bitcoin analysis. How It Works The script calculates a Liquidity Index using balance sheet data from four central banks (USA: ECONOMICS:USCBBS, Japan: FRED:JPNASSETS, China: ECONOMICS:CNCBBS, EU: FRED:ECBASSETSW), augmented by the Dollar Index (TVC:DXY) and Chinese 10-year bond yields (TVC:CN10Y). This index is: - Logarithmically scaled (math.log) to better represent large values like central bank balances and Bitcoin prices. - Normalized over a 50-period range to balance fluctuations between minimum and maximum values. - Compared to prior-year values, with the number of bars dynamically adjusted based on the timeframe (e.g., 252 for 1D, 52 for 1W), to compute percentage changes. The liquidity change is analyzed using a Chande Momentum Oscillator (CMO) (period: 24) to measure momentum trends. A Weighted Moving Average (WMA) (period: 10) acts as a signal line. The Bitcoin price is also plotted logarithmically to highlight parallels with liquidity cycles. Usage Traders can use the indicator to: - Identify global liquidity cycles influencing Bitcoin price trends, such as expansive or restrictive monetary policies. - Detect momentum phases: Values above 50 suggest overbought conditions, below -50 indicate oversold conditions. - Anticipate trend reversals by observing CMO crossovers with the signal line. It performs best on higher timeframes like daily (1D) or weekly (1W) charts. The visualization includes: - CMO line (green > 50, red < -50, blue neutral), signal line (white), Bitcoin price (gray). - Horizontal lines at 50, 0, and -50 for improved readability. Originality This indicator stands out from other momentum tools like RSI or basic price analysis due to: - Unique Data Integration: Combines four central bank datasets, DXY, and CN10Y as macroeconomic proxies for Bitcoin. - Dynamic Prior-Year Analysis: Calculates liquidity changes relative to historical values, adjustable by timeframe. - Logarithmic Normalization: Enhances visibility of extreme values, critical for cryptocurrencies and macro data. This combination offers a rare perspective on the interplay between global liquidity and Bitcoin, unavailable in other open-source scripts. Settings - CMO Period: Default 24, adjustable for faster/slower signals. - Signal WMA: Default 10, for smoothing the CMO line. - Normalization Window: Default 50 periods, customizable. Users can modify these parameters in the Pine Editor to tailor the indicator to their strategy. Note This script is designed for medium- to long-term analysis, not scalping. For optimal results, combine it with additional analyses (e.g., on-chain data, support/resistance levels). It does not guarantee profits but supports informed decisions based on macroeconomic trends. Data Sources - Bitcoin: INDEX:BTCUSD - Liquidity: ECONOMICS:USCBBS, FRED:JPNASSETS, ECONOMICS:CNCBBS, FRED:ECBASSETSW - Additional: TVC:DXY, TVC:CN10Y
Wskaźnik Pine Script™
od Cryptolabs_Schweiz
ADX Meter OverlayThe ADX Meter Overlay is a trend strength visualization tool that colors candles based on the ADX (Average Directional Index). This indicator helps traders easily identify when the market is trending strongly versus when it is weak or ranging. 🔹 How It Works: ✔️ ADX Measures Trend Strength: The ADX does not indicate trend direction—only trend intensity. ✔️ Candle Colors Change Based on ADX: Green candles = Strong Uptrend (ADX above threshold, bullish momentum). Red candles = Strong Downtrend (ADX above threshold, bearish momentum). Blue candles = Weak Uptrend / Choppy Market (ADX below threshold). Orange candles = Weak Downtrend / Choppy Market (ADX below threshold). ✔️ Alerts when ADX Crosses Above/Below Threshold: Notifies traders when trend conditions change. 📊 Trading Strategy Based on ADX Meter 📌 Best Timeframes: Scalping: 1M, 5M Day Trading: 15M, 1H Swing Trading: 4H, 1D 📌 Best Markets: Forex, Crypto, Stocks, Commodities ✅ Entry Rules (Buying/Long Trade) 🔹 Look for Green Candles: ADX above threshold (Strong Trend). Price making higher highs & higher lows. Combine with a 50 EMA or 200 EMA for confirmation. ❌ Exit Rules (Closing a Long Trade) 🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position. 🔹 If price crosses below 50 EMA → Trend is reversing, consider exiting. 📉 Entry Rules (Selling/Short Trade) 🔹 Look for Red Candles: ADX above threshold (Strong Trend). Price making lower highs & lower lows. Combine with a Moving Average or RSI for extra confirmation. ❌ Exit Rules (Closing a Short Trade) 🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position. 🔹 If price crosses above 50 EMA → Trend reversal likely, exit short. 📌 Why Use the ADX Meter? ✔️ Quickly spot strong trends vs weak/ranging markets. ✔️ Avoid false breakouts & low-momentum trades. ✔️ Works with any trading strategy – Combine with RSI, MACD, or Moving Averages. 🔥 Next Steps: 📌 Add the ADX Meter Overlay to your chart and test it on different assets & timeframes.
Wskaźnik Pine Script™
od JoshLParker
Multi-Timeframe 200 EMAMulti-Timeframe 200 EMA Indicator Description: This indicator plots the 200-period Exponential Moving Average (EMA) from multiple timeframes on a single chart. It allows traders to visualize key trend levels across different timeframes, helping with confluence, trend identification, and potential trade setups. Key Features: Multi-Timeframe EMAs: Displays the 200 EMA from the 2m, 5m, 15m, 30m, 1hr, and 4hr timeframes, regardless of the chart's current timeframe. Dynamic Labeling: Each EMA is labeled with its respective timeframe (e.g., "2m", "1hr", "4hr") and the labels update in real-time, staying on the current EMA value. Auto-Updating Labels: The labels move with the EMAs as new candles form, ensuring a clean and informative display. Old labels automatically disappear to prevent clutter. Color-Coded EMAs: Each EMA has a unique color, making it easy to differentiate between timeframes. How to Use This Indicator in Trading: Trend Confirmation: If price stays above the higher timeframe 200 EMA (e.g., 1hr, 4hr), it suggests an uptrend; below it suggests a downtrend. Support & Resistance Zones: The 200 EMA from larger timeframes often acts as strong dynamic support or resistance. Multi-Timeframe Confluence: If multiple EMAs are aligned in the same direction, it strengthens the trend bias. Reversal or Breakout Signals: When price crosses above or below a higher timeframe EMA, it could indicate a potential trend change or breakout opportunity. Best Used For: 🔹 Scalpers & Day Traders: Helps identify intraday trends and key levels across multiple timeframes. 🔹 Swing Traders: Useful for aligning trade setups with higher timeframe trends. 🔹 Trend Followers: Provides confirmation of long-term trends using the 200 EMA.
Wskaźnik Pine Script™
od cesar7olvera
Volumized Order Blocks | Flux Charts (CXT TEST)-- CXT TEST This AI-powered TradingView script analyzes market trends and provides insights based on various indicators. It helps traders identify potential opportunities by detecting patterns and signals in price movements. The script adapts to changing market conditions, offering dynamic adjustments for better decision-making. Users can customize parameters to align with their preferred trading strategies. Designed for versatility, it works across different assets and timeframes. -- Credits to flux charts
Wskaźnik Pine Script™
od collierm008
WalidTrader2025This is a Pine Script (version 5) code for a custom technical analysis indicator called "Market Structure Fibonacci Indicator" designed for use in TradingView. The indicator appears to combine market structure analysis with Fibonacci levels to help traders identify key price levels and market conditions. Key features of the indicator include: Fibonacci-based "breaker zones" that help identify potential support and resistance areas A dynamic equilibrium price level that determines bullish/bearish market conditions Buy-side and sell-side liquidity levels tracking A status table displaying the current market trend (Bullish/Bearish) and market condition (Premium/Discount/Neutral) Customizable visual elements including colors, line widths, and transparency levels The indicator overlays on the price chart and uses the period's open, high, and low prices to calculate various Fibonacci projections at the 0.375 and 0.625 levels. It then creates zones ("breaker zones") that could indicate potential areas where price might react.
Wskaźnik Pine Script™
od akramse123
RG - Volume Spike DetectorRG - Volume Spike Detector is a comprehensive volume analysis tool designed to help traders identify significant volume activity across different tickers on TradingView. This indicator not only detects overall volume spikes and percentage changes but also approximates and analyzes buying and selling volume separately, providing valuable insights into market dynamics. With customizable parameters, visual cues, and built-in alerts, it's suitable for traders of all levels looking to monitor volume-based market movements. Features Volume Spike Detection: Identifies when total volume exceeds a user-defined multiple of its moving average (default: 2x). Separate detection for buying and selling volume spikes based on their respective moving averages. Volume Change Analysis: Calculates and displays the percentage change in total volume from the previous bar. Highlights significant increases (>50%) or decreases (<-50%) with alert options. Buy/Sell Volume Approximation: Estimates buying and selling volume using price movement and range: Up bars: Buying volume ≈ volume * (close - low)/(high - low) Down bars: Selling volume ≈ volume * (close - low)/(high - low) Handles edge cases (e.g., high = low) to ensure accurate calculations. Ideal For Day traders monitoring sudden volume surges Swing traders analyzing volume trends Market analysts studying buying vs. selling pressure This indicator empowers traders with a robust tool to track volume dynamics, offering both visual clarity and actionable alerts for informed decision-making.
Wskaźnik Pine Script™
od Reasonable_001
Kung Fu MA Hustle: The ADX & Choppiness ShowdownEver feel like your trading signals are as unpredictable as a kung fu comedy? "Kung Fu MA Hustle: The ADX & Choppiness Showdown" is here to bring some Shaolin style to your charts! This strategy unleashes a high-flying crossover when the 9-period SMA clashes with the 21-period SMA—but only if the market’s got the strength of an ADX over 20 and isn’t as choppy as a bad kung fu flick (Choppiness ≤ 50). With a humorous nod to the epic style of Stephen Chow, this strategy kicks false signals out of the ring and keeps your trades as sharp as a master’s roundhouse. Step into the dojo and let your trading do the kung fu!
Strategia Pine Script™
od issacyinic
Put/Call RatioPut/Call Ratio Indicator This indicator visualizes the Put/Call Ratio for various market symbols, helping traders assess market sentiment and potential reversals. It offers a dropdown menu to select from a range of Put/Call Ratios, including broad equities (CBOE), major indices (SPX, QQQ, IWM, VIX), and individual stocks (TSLA, GOOG, META, AMZN, MSFT, INTC). The indicator plots the Put/Call Ratio with adjustable moving averages and standard deviation bands to highlight overbought or oversold conditions. A short-term moving average (default: 10 periods) is displayed with trend-based coloring, while longer-term moving averages (defaults: 30 and 200 periods) are calculated but hidden by default. Bands at 1, 1.5, and 2 standard deviations provide context for extreme readings. Key Overbought/Oversold Signals: Short-Term Extremes: The 10-day moving average moves beyond 1 standard deviation from the 200-day moving average, signaling potential overbought (above) or oversold (below) conditions. This will be highlighted by red or green background color. Ratio Extremes: The Put/Call Ratio line itself crosses outside 2 standard deviations from the 200-day moving average, indicating stronger overbought or oversold zones. Conditional coloring of the ratio line reflects its position relative to the bands, and background shading highlights when the short-term moving average crosses key levels. Key Features: Selectable Put/Call Ratio symbols. Trend-colored moving averages. Standard deviation bands for volatility analysis. Dynamic line and background coloring for quick insights. Usage: Use this indicator to gauge market sentiment—high ratios may suggest bearish sentiment or oversold conditions, while low ratios may indicate bullish sentiment or overbought conditions. Combine with price action or other tools for confirmation.
Wskaźnik Pine Script™
od nsnq5nwmy4
Mean-Reverse ATR Strategy[15min]The strategy is designed to work on a 15-minute timeframe, using a combination of Bollinger Bands, Simple Moving Averages (SMA), and the Average True Range (ATR) to determine trade entries and exits. Indicators Used in the Strategy : Bollinger Bands consist of three lines: Middle Band (EMA or SMA): A moving average that represents the market's average price over a set period. Upper Band: The middle band plus a multiple (mult) of the standard deviation. Lower Band: The middle band minus a multiple of the standard deviation. When the price touches or crosses below the lower band, it suggests an oversold condition (potential buying opportunity). When the price touches or crosses above the upper band, it suggests an overbought condition (potential selling opportunity). A narrowing of bands indicates low volatility, while a widening of bands indicates increased volatility. 2. Simple Moving Averages (SMA) Purpose: Identifies the overall trend direction by averaging past prices. SMA1 (100-period): A medium-term moving average that reacts relatively quickly to price changes. SMA2 (200-period): A long-term moving average that reacts slower to price changes. Uptrend Confirmation: If SMA1 is above SMA2, the market is in an uptrend. Downtrend Confirmation: If SMA1 is below SMA2, the market is in a downtrend. Golden Cross: When SMA1 crosses above SMA2, it signals a bullish trend. Death Cross: When SMA1 crosses below SMA2, it signals a bearish trend. 3. Average True Range (ATR) Purpose: Measures market volatility and is used for setting stop-loss levels. ATR calculates the average range between the high and low of each candlestick over a set period. A higher ATR indicates more volatility, while a lower ATR indicates less volatility. Used to set dynamic stop-loss levels: For long positions: Stop-loss is set below the entry price based on ATR. For short positions: Stop-loss is set above the entry price based on ATR. Traders often use an ATR multiplier (e.g., 2× ATR) to define reasonable stop levels based on market conditions. Bollinger Bands generate potential entry signals based on price crossing the upper/lower bands. SMA (100 & 200) confirms the market trend and filters false signals. ATR dynamically calculates stop-loss levels to manage risk effectively. This combination ensures that trades are entered at optimal points while following the overall market trend and managing risk with volatility-based stops. Strategy uses additional baisc stop-loss at 2.5% to avoid higher lose to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken Enjoy !
Strategia Pine Script™
od wielkieef