지금 시작

Momentumstrategy

DEMA Trend Oscillator Strategy📌 Overview The DEMA Trend Oscillator Strategy is a dynamic trend-following approach based on the Normalized DEMA Oscillator SD. It adapts in real-time to market volatility with the goal of improving entry accuracy and optimizing risk management. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives The main goal of this strategy is to respond quickly to sudden price movements and trend reversals, by combining momentum-based signals with volatility filters. It is designed to be user-friendly for traders of all experience levels. ✨ Key Features Normalized DEMA Oscillator: A momentum indicator that normalizes DEMA values on a 0–100 scale, allowing intuitive identification of trend strength Two-Bar Confirmation Filter: Requires two consecutive bullish or bearish candles to reduce noise and enhance entry reliability ATR x2 Trailing Stop: In addition to fixed stop-loss levels, a trailing stop based on 2× ATR is used to maximize profits during strong trends 📊 Trading Rules Long Entry: Normalized DEMA > 55 (strong upward momentum) Candle low is above the upper SD band Two consecutive bullish candles appear Short Entry: Normalized DEMA < 45 (downward momentum) Candle high is below the lower SD band Two consecutive bearish candles appear Exit Conditions: Take-profit at a risk-reward ratio of 1.5 Stop-loss triggered if price breaks below (long) or above (short) the SD band Trailing stop activated based on 2× ATR to secure and extend profits 💰 Risk Management Parameters Symbol & Timeframe: Any (AUDUSD 5M example) Account size (virtual): $3000 Commission: 0.4PIPS(0.0004) Slippage: 2 pips Risk per trade: 5% Number of trades (backtest):534 All parameters can be adjusted based on broker specifications and individual trading profiles. ⚙️ Trading Parameters & Considerations Indicator: Normalized DEMA Oscillator SD Parameter settings: DEMA Period (len_dema): 40 Base Length: 20 Long Threshold: 55 Short Threshold: 45 Risk-Reward Ratio: 1.5 ATR Multiplier for Trailing Stop: 2.0 🖼 Visual Support The chart displays the following visual elements: Upper and lower SD bands (±2 standard deviations) Entry signals shown as directional arrows 🔧 Strategy Improvements & Uniqueness This strategy is inspired by “Normalized DEMA Oscillator SD” by QuantEdgeB, but introduces enhancements such as a two-bar confirmation filter and an ATR-based trailing stop. Compared to conventional trend-following strategies, it offers superior noise filtering and profit optimization. ✅ Summary The DEMA Trend Oscillator Strategy is a responsive and practical trend-following method that combines momentum detection with adaptive risk management. Its visual clarity and logical structure make it a powerful and repeatable tool for traders seeking consistent performance in trending markets. ⚠️ Always apply appropriate risk management. This strategy is based on historical data and does not guarantee future results.
Pine Script™ 전략
PakunFX의
BB Breakout + Momentum Squeeze [Strategy]This Strategy is Based on 3 free indicators - Bollinger Bands Breakout Oscillator: Link - TTM Squeeze Pro: Link - Rolling ATR Bands: Link Bollinger Bands Breakout Oscillator - This tool shows how strong a market trend is by measuring how often prices move outside their normal Bollinger bands range. It helps you see whether prices are strongly moving in one direction or just moving sideways. By looking at how much and how frequently prices push beyond their typical boundaries, you can identify which direction the market is heading over your selected time period. TM Squeeze Pro - This is a custom version of the TTM Squeeze indicator. It's designed to help traders spot consolidation phases in the market (when price is coiling or "squeezing") and to catch breakouts early when volatility returns. The logic is based on the relationship between Bollinger Bands and Keltner Channels, combined with a momentum oscillator to show direction and strength. Rolling ATR Bands - This indicator combines volatility bands (ATR) with momentum and trend signals to show where the market might be breaking out, retesting, or trending. It's highly visual and helpful for traders looking to time entries/exits during trending or volatile moves. Logic Of the Strategy: We are going to use the Bollinger Bands Breakout to determine the direction of the market. Than check the Volatility of the price by looking at the TTM Squeeze indicator. And use the ATR Bands to determine dynamic Stop Losses and based on the calculate the Take Profit targets and quantity for each position dynamically. For the Long Setup: 1. We need to see the that Bull Power (Green line of the Bollinger Bands Breakout Oscilator) is crossing the level of 50. 2. Check the presence of volatility (Green dot based on the TTM Squeeze indicator) For the Short Setup: 1. We need to see the that Bear Power (Red line of the Bollinger Bands Breakout Oscilator) is crossing the level of 50. 2. Check the presence of volatility (Green dot based on the TTM Squeeze indicator) Stop Loss is determined by the Lower ATR Band (for the Long entry) and Upper ATR Band (For the Short entry) Take Profit is 1:1.5 risk reward ration, which means if the Stop loss is 1% the TP target will be 1.5% Move stop Loss to Breakeven: If the price will go in the direction of the trade for at least half of the Risk Reward target then the stop will automatically be adjusted to the entry price. For Example: the Stop Loss is 1%, the price has move at least 0.5% in the direction of your trade and that will move the Stop Loss level to the Entry point. You can Adjust the parameters for each indicator used in that script and also adjust the Risk and Money management block to see how the PnL will change.
Pine Script™ 전략
Wunderbit의
1
TriTrend Nexus[BullByte]TriTrend Nexus is a comprehensive market analysis tool that consolidates three well-established signals into a single, easy-to-read interface. It is designed to help traders quickly assess the market’s current condition and make more informed decisions about potential trend shifts. Key Features and Functionality Composite Signal System Multi-Faceted Approach : The indicator combines insights from three distinct market signals into one composite score. This approach provides a more holistic view of market conditions compared to relying on a single indicator. Clear Classification : Based on the composite score, TriTrend Nexus categorizes the market into: Strong Signals : When all three underlying conditions are met, indicating a robust and established trend. Early Signals : When two out of the three conditions are met, offering an early hint of a potential trend. Neutral/Choppy : When conditions are ambiguous or conflicting, suggesting a lack of clear market direction. Trend Qualifiers : In addition to the composite score, the indicator subtly refines its signal by noting whether a trend is “Rising” or “Fading.” This further aids traders in understanding the momentum behind the signal. Dynamic Signal Identification Timely Alerts : By analyzing the composite data in real time, the indicator quickly identifies when market conditions shift, offering early warning signals that help traders stay ahead of the market. Adaptive Analysis : The built-in signal assessment continuously monitors market changes. Whether the market is in the early stages of a move or firmly committed to a trend, TriTrend Nexus adapts its messaging to reflect the evolving conditions. User-Friendly Dashboard Integrated Display : A customizable dashboard provides an at-a-glance summary of key metrics. Users can choose between a detailed view for comprehensive insights or a compact version for a streamlined experience. Key Metrics Displayed : Primary Signal : The overall market status, such as “Bullish Strong” or “Bearish Early.” Composite Nexus Score : A numerical value representing the strength of the current market conditions. Supporting Data : Essential values that help explain the current signal without overwhelming the trader. Easy Interpretation : The dashboard is designed with clarity in mind. Clear labeling and a consistent layout ensure that even traders new to composite indicators can quickly interpret the displayed information. Visual Clarity and Aesthetic Color-Coded Signals : The indicator uses a vibrant color scheme to highlight market conditions: Bright Green : Signifies a strong bullish trend. Light Green : Indicates an emerging bullish trend. Red : Represents a strong bearish trend. Light Red/Pink : Denotes an early bearish signal. Gray : Used when market conditions are neutral or choppy. Graphical Enhancements : The plotted oscillator visually reinforces the signal classifications with dynamic color transitions. Horizontal markers provide reference points to help traders easily compare the current readings against standard levels. Customization Options Adjustable Settings : Traders can personalize the indicator by modifying input settings such as sensitivity thresholds and period lengths. This flexibility allows the tool to adapt to different market environments and trading styles. Dashboard Flexibility : The option to toggle between a full dashboard and a shorter version means that both novice and experienced traders can configure the display to best suit their needs. A more detailed dashboard offers extensive insights, while the compact mode provides a minimalist view for those who prefer simplicity. Tailored User Experience : With multiple adjustable parameters, users can fine-tune the indicator to respond precisely to their preferred timeframes and market conditions. This adaptability makes TriTrend Nexus a versatile tool for various trading strategies. Benefits for Traders Quick and Informed Decision-Making : With a single glance at the dashboard and visual cues from the oscillator, traders can quickly gauge whether the market is poised for a strong move, is in the early stages of a trend, or is too volatile for clear signals. This helps in planning timely entries and exits. Enhanced Market Insight : By integrating multiple perspectives into one coherent score, the indicator filters out market noise and highlights the prevailing trend more reliably. This can be particularly useful during periods of market uncertainty. Reduced Analysis Time: The combination of clear, color-coded signals and an intuitive dashboard reduces the time spent analyzing various individual indicators, allowing traders to focus more on strategy execution. Customization for Diverse Strategies : The ability to adjust various input parameters and the dashboard layout ensures that traders can tailor the tool to fit their unique analysis style and market conditions, making it a versatile addition to any trading toolkit. User-Friendly Interface : Even for those who are not technically inclined, the clear visual design and straightforward signal descriptions make it easy to understand the current market situation without needing to interpret complex data.
Pine Script® 인디케이터
BullByte의
2
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters. ※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance. Strategy Objectives Identify early trend transitions with high probability Filter entries using volume dynamics to validate momentum Maintain continuous exposure using a reversal-style model Apply a consistent 1:1.5 risk-to-reward ratio per trade Key Features Integrated MACD and volume oscillator filtering Zero repainting (all signals confirmed on closed candles) Automatic position flipping for seamless direction shifts Stop-loss and take-profit based on recent structural highs/lows Trading Rules Long Entry Conditions MACD crosses above the zero line (BBO Buy arrow) Volume oscillator is positive (short EMA > long EMA) MACD is above the signal line Close any existing short and enter a new long Short Entry Conditions MACD crosses below the zero line (BBO Sell arrow) Volume oscillator is positive MACD is below the signal line Close any existing long and enter a new short Exit Rules Take Profit (TP) = Entry ± (risk distance × 1.5) Stop Loss (SL) = Recent swing low (for long) or high (for short) Early Exit = Triggered when a reversal signal appears (flip logic) Risk Management Parameters Pair: ETH/USD Timeframe: 10-minute Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pip Risk per Trade: 5% of account equity (adjusted for sustainable practice) Total Trades: 312 (backtest on selected dataset) ※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions. Parameters & Configurations Volume Short Length: 6 Volume Long Length: 12 MACD Fast Length: 11 MACD Slow Length: 21 Signal Smoothing: 10 Oscillator MA Type: SMA Signal Line MA Type: SMA Visual Support Green arrow = Long entry Red arrow = Short entry MACD lines, signal line, and histogram SL/TP markers plotted directly on the chart Strategic Advantages & Uniqueness Volume filtering eliminates low-participation, weak signals Structurally aligned SL/TP based on recent market pivots No repainting — decisions are made only on closed candles Always in the market due to the reversal-style framework Inspirations & Attribution This strategy is inspired by the excellent work of: Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol” Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation. HasanRifat – “MACD Fake Filter ” Introduced a signal filter using MACD wave height averaging to reduce false positives. This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system. Summary MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions. 100% mechanical — no discretionary input required Designed for high-confidence entries Can be extended with filters, alerts, or trailing stops ※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
Pine Script™ 전략
PakunFX의
Momentum Shift [Bigbeluga] This indicator identifies momentum shifts using a smoothed momentum calculation. It plots dynamic shift zones consisting of five levels that expand or contract based on price action. When momentum rises, the indicator creates an upward shift zone, and when momentum falls, it generates a downward shift zone. The shift zones dynamically react to price, stopping extension when a level is crossed. 🔵Key Features: Smoothed Momentum Calculation: ➣ Utilizes a Hull Moving Average (HMA) to smooth momentum and reduce noise. ➣ Identifies momentum shifts with crossovers between the current momentum value and its previous state. ➣ Uses a gradient color scheme to highlight momentum strength. Dynamic Shift Zones: ➣ When momentum rises, the indicator plots an upper shift zone with five incremental levels. ➣ When momentum falls, a lower shift zone is formed with five descending levels. ➣ Each level within the shift zone represents a progressively stronger momentum shift. Level Extension Control: ➣ Shift zones stop extending once a level is crossed by price. ➣ Levels closer to price act as key momentum resistance or support zones. ➣ If price retraces after a shift, the remaining levels stay intact for further reference. Momentum Direction Indications: ➣ Labels (▲ and ▼) appear at momentum shift points to indicate rising or falling momentum. 🔵Usage: Momentum-Based Entries: Identify momentum shifts early by using shift zones as confirmation for trade entries. Trend Continuation & Exhaustion: Observe which shift levels price respects—if momentum shift zones hold, the trend may continue; if they break, momentum may reverse. Dynamic Support & Resistance: Use the five-level shift zones as temporary support and resistance areas that adapt to momentum shifts. Momentum Strength Analysis: If price moves through multiple shift levels in one direction, it signals strong momentum in that direction. Momentum Shift is a powerful tool for traders looking to analyze momentum shifts with structured visual zones. By combining smoothed momentum calculations with dynamic shift zones, this indicator provides a clear view of market momentum and helps traders navigate price action effectively.
Pine Script® 인디케이터
BigBeluga의
21
ORB with Alerts - Current Day OnlyORB with Alerts - Current Day Only This script plots the Opening Range Breakout (ORB) levels and provides alerts when price breaks above or below the range. It is designed for intraday trading and resets daily. How It Works: The ORB time in settings should be set to 15 minutes. The Session Time should be set to 09:30 - 09:45. The script marks the high and low of the ORB period and tracks price action for breakouts. Alerts trigger when price crosses above the ORB high or below the ORB low. This tool helps traders identify breakout opportunities based on early price action, aiding in momentum-based strategies
Pine Script® 인디케이터
samb817의
Premarket Gap MomoTrader(SC)🚀 Pre-Market Momentum Trader | Dynamic Position Sizing 🔥 📈 Trade explosive pre-market breakouts with confidence! This algorithmic strategy automatically detects high-momentum setups, dynamically adjusts position size, and ensures risk control with a one-trade-per-day rule. ⸻ 🎯 Key Features ✅ Pre-Market Trading (4:00 - 9:30 AM EST) – Only trades during the most volatile session for early breakouts. ✅ Dynamic Position Sizing – Adapts trade size based on candle strength: • ≥90% body → 100% position • ≥85% body → 50% position • ≥75% body → 25% position ✅ 1 Trade Per Day – Avoids overtrading by allowing only one high-quality trade daily. ✅ Momentum Protection – Stays in the trade as long as: • Every candle remains green (no red candles). • Each new candle has increasing volume (confirming strong buying). ✅ Automated Exit – Closes position if: • A red candle appears. • Volume fails to increase on a green candle. ⸻ 🔍 How It Works 📌 Entry Conditions: ✔️ Candle gains ≥5% from previous close. ✔️ Candle is green & body size ≥75% of total range. ✔️ Volume >15K (confirming liquidity). ✔️ Occurs within pre-market session (4:00 - 9:30 AM EST). ✔️ Only the first valid trade of the day is taken. 📌 Exit Conditions: ❌ First red candle after entry → Exit trade. ❌ First green candle with lower volume → Exit trade. ⸻ 🏆 Why Use This? 🔹 Eliminates Fake Breakouts – No trade unless volume & momentum confirm. 🔹 Prevents Overtrading – Restricts to one quality trade per day. 🔹 Adaptable to Any Market – Works on stocks, crypto, or forex. 🔹 Hands-Free Execution – No manual chart watching required! ⸻ 🚨 Important Notes 📢 Not financial advice. Trading involves risk—always backtest & practice on paper trading before using real money. 📢 Enable pre-market data in your TradingView settings for accurate results. 📢 Optimized for 1-minute & 5-minute timeframes. 🔔 Like this strategy? Leave a comment, share your results, and don’t forget to hit Follow for more strategies! 🚀🔥
Pine Script™ 전략
Abdul_Mughees의
1
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector 📌 Category : Public (Restricted/Closed-Source) Indicator 📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts. 🔍 Overview The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible. 📊 Core Features: ✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance. ✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts. ✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements. ✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy. ✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state. 🔒 Justification for Mashup The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators: ✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas. ✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels. ✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal. ✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy. 🛠️ How to Use: • Works well for reversal traders, scalpers, and swing traders seeking precise turning points. • Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation. • Suitable for Forex, Indices, Commodities, Crypto, and Stock markets. 🚨 Important Note: For educational & analytical purposes only.
Pine Script® 인디케이터
TradeTechanalysis의
10
MTF Signal XpertMTF Signal Xpert – Detailed Description Overview: MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions. Detailed Explanation of How It Works: Trend Detection via Moving Averages Dual Moving Averages: MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends. Crossover Logic: A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure. Recent Crossover Confirmation: To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy. Volatility and Price Extremes with Bollinger Bands Calculation of Bands: Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility. Signal Reinforcement: For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals. Momentum Confirmation Using Multiple Oscillators RSI (Relative Strength Index): The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions. MACD (Moving Average Convergence Divergence): The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation. Awesome Oscillator (AO): The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight. ADX (Average Directional Index): The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets. Optional Stochastic Oscillator: An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity. Multi-Timeframe Verification Higher Timeframe Filter: To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals. Dynamic Risk Management with ATR ATR-Based Calculations: The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions. Visual SL/TP Markers: The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points. Optional Trailing Stop: An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals. Risk/Reward Ratio Calculation: MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade. Condition Weighting and Signal Scoring Binary Condition Checks: Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not). Cumulative Scoring: These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability. Detailed Signal Explanation: A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process. On-Chart Visualizations and Debug Information Chart Elements: The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions. Combined Dashboard: A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic. Debug Table (Optional): For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement. Mashup Justification and Originality MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together: Integrated Trend, Volatility, and Momentum Analysis: By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals. Multi-Timeframe Analysis: The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals. Adaptive Risk Management: Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves. Quantitative Signal Scoring: The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision. How to Use MTF Signal Xpert: Input Customization: Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions. Enable or disable the optional stochastic oscillator and trailing stop based on your preference. Interpreting the Signals: When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal. Review the SL and TP markers on the chart to understand the associated risk/reward setup. Risk Management: Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points. Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade. Debugging and Verification: Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics. Disclaimer: MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance. MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
Pine Script® 인디케이터
EnviAI의
[COG] Adaptive Squeeze Intensity 📊 Adaptive Squeeze Intensity (ASI) Indicator 🎯 Overview The Adaptive Squeeze Intensity (ASI) indicator is an advanced technical analysis tool that combines the power of volatility compression analysis with momentum, volume, and trend confirmation to identify high-probability trading opportunities. It quantifies the degree of price compression using a sophisticated scoring system and provides clear entry signals for both long and short positions. ⭐ Key Features - 📈 Comprehensive squeeze intensity scoring system (0-100) - 📏 Multiple Keltner Channel compression zones - 📊 Volume analysis integration - 🎯 EMA-based trend confirmation - 🎨 Proximity-based entry validation - 📱 Visual status monitoring - 🎨 Customizable color schemes - ⚡ Clear entry signals with directional indicators 🔧 Components 1. 📐 Squeeze Intensity Score (0-100) The indicator calculates a total squeeze intensity score based on four components: - 📊 Band Convergence (0-40 points): Measures the relationship between Bollinger Bands and Keltner Channels - 📍 Price Position (0-20 points): Evaluates price location relative to the base channels - 📈 Volume Intensity (0-20 points): Analyzes volume patterns and thresholds - ⚡ Momentum (0-20 points): Assesses price momentum and direction 2. 🎨 Compression Zones Visual representation of squeeze intensity levels: - 🔴 Extreme Squeeze (80-100): Red zone - 🟠 Strong Squeeze (60-80): Orange zone - 🟡 Moderate Squeeze (40-60): Yellow zone - 🟢 Light Squeeze (20-40): Green zone - ⚪ No Squeeze (0-20): Base zone 3. 🎯 Entry Signals The indicator generates entry signals based on: - ✨ Squeeze release confirmation - ➡️ Momentum direction - 📊 Candlestick pattern confirmation - 📈 Optional EMA trend alignment - 🎯 Customizable EMA proximity validation ⚙️ Settings 🔧 Main Settings - Base Length: Determines the calculation period for main indicators - BB Multiplier: Sets the Bollinger Bands deviation multiplier - Keltner Channel Multipliers: Three separate multipliers for different compression zones 📈 Trend Confirmation - Four customizable EMA periods (default: 21, 34, 55, 89) - Optional trend requirement for entry signals - Adjustable EMA proximity threshold 📊 Volume Analysis - Customizable volume MA length - Adjustable volume threshold for signal confirmation - Option to enable/disable volume analysis 🎨 Visualization - Customizable bullish/bearish colors - Optional intensity zones display - Status monitor with real-time score and state information - Clear entry arrows and background highlights 💻 Technical Code Breakdown 1. Core Calculations // Base calculations for EMAs ema_1 = ta.ema(close, ema_length_1) ema_2 = ta.ema(close, ema_length_2) ema_3 = ta.ema(close, ema_length_3) ema_4 = ta.ema(close, ema_length_4) // Proximity calculation for entry validation ema_prox_raw = math.abs(close - ema_1) / ema_1 * 100 is_close_to_ema_long = close > ema_1 and ema_prox_raw <= prox_percent ``` ### 2. Squeeze Detection System ```pine // Bollinger Bands setup BB_basis = ta.sma(close, length) BB_dev = ta.stdev(close, length) BB_upper = BB_basis + BB_mult * BB_dev BB_lower = BB_basis - BB_mult * BB_dev // Keltner Channels setup KC_basis = ta.sma(close, length) KC_range = ta.sma(ta.tr, length) KC_upper_high = KC_basis + KC_range * KC_mult_high KC_lower_high = KC_basis - KC_range * KC_mult_high ``` ### 3. Scoring System Implementation ```pine // Band Convergence Score band_ratio = BB_width / KC_width convergence_score = math.max(0, 40 * (1 - band_ratio)) // Price Position Score price_range = math.abs(close - KC_basis) / (KC_upper_low - KC_lower_low) position_score = 20 * (1 - price_range) // Final Score Calculation squeeze_score = convergence_score + position_score + vol_score + mom_score ``` ### 4. Signal Generation ```pine // Entry Signal Logic long_signal = squeeze_release and is_momentum_positive and (not use_ema_trend or (bullish_trend and is_close_to_ema_long)) and is_bullish_candle short_signal = squeeze_release and is_momentum_negative and (not use_ema_trend or (bearish_trend and is_close_to_ema_short)) and is_bearish_candle ``` 📈 Trading Signals 🚀 Long Entry Conditions - Squeeze release detected - Positive momentum - Bullish candlestick - Price above relevant EMAs (if enabled) - Within EMA proximity threshold (if enabled) - Sufficient volume confirmation (if enabled) 🔻 Short Entry Conditions - Squeeze release detected - Negative momentum - Bearish candlestick - Price below relevant EMAs (if enabled) - Within EMA proximity threshold (if enabled) - Sufficient volume confirmation (if enabled) ⚠️ Alert Conditions - 🔔 Extreme squeeze level reached (score crosses above 80) - 🚀 Long squeeze release signal - 🔻 Short squeeze release signal 💡 Tips for Usage 1. 📱 Use the status monitor to track real-time squeeze intensity and state 2. 🎨 Pay attention to the color gradient for trend direction and strength 3. ⏰ Consider using multiple timeframes for confirmation 4. ⚙️ Adjust EMA and proximity settings based on your trading style 5. 📊 Use volume analysis for additional confirmation in liquid markets 📝 Notes - 🔧 The indicator combines multiple technical analysis concepts for robust signal generation - 📈 Suitable for all tradable markets and timeframes - ⭐ Best results typically achieved in trending markets with clear volatility cycles - 🎯 Consider using in conjunction with other technical analysis tools for confirmation ⚠️ Disclaimer This technical indicator is designed to assist in analysis but should not be considered as financial advice. Always perform your own analysis and risk management when trading.
Pine Script® 인디케이터
CognitiveAlpha의
GOLDEN RSI by @thejamiulGOLDEN RSI thejamiul is a versatile Relative Strength Index (RSI)-based tool designed to provide enhanced visualization and additional insights into market trends and potential reversal points. This indicator improves upon the traditional RSI by integrating gradient fills for overbought/oversold zones and divergence detection features, making it an excellent choice for traders who seek precise and actionable signals. Source of this indicator : This indicator is based on @TradingView original RSI indicator with a little bit of customisation to enhance overbought and oversold identification. Key Features 1. Customizable RSI Settings: RSI Length: Adjust the RSI calculation period to suit your trading style (default: 14). Source Selection: Choose the price source (e.g., close, open, high, low) for RSI calculation. 2. Gradient-Filled RSI Zones: Overbought Zone (80-100): Gradient fill with shades of green to indicate strong bullish conditions. Oversold Zone (0-20): Gradient fill with shades of red to highlight strong bearish conditions. 3. Support and Resistance Levels: Upper Band: 80 Middle Bands: 60 (bullish) and 40 (bearish) Lower Band: 20 These levels help identify overbought, oversold, and neutral zones. 4. Divergence Detection: Bullish Divergence: Detects lower lows in price with corresponding higher lows in RSI, signaling potential upward reversals. Bearish Divergence: Detects higher highs in price with corresponding lower highs in RSI, indicating potential downward reversals. Visual Indicators: Bullish divergence is marked with green labels and line plots. Bearish divergence is marked with red labels and line plots. 5. Alert Functionality: Custom Alerts: Set up alerts for bullish or bearish divergences to stay notified of potential trading opportunities without constant chart monitoring. 6. Enhanced Chart Visualization: RSI Plot: A smooth and visually appealing RSI curve. Color Coding: Gradient and fills for better distinction of trading zones. Pivot Labels: Clear identification of divergence points on the RSI plot.
Pine Script® 인디케이터
thejamiul의
3
Bollinger Bands color candlesThis Pine Script indicator applies Bollinger Bands to the price chart and visually highlights candles based on their proximity to the upper and lower bands. The script plots colored candles as follows: Bullish Close Above Upper Band: Candles are colored green when the closing price is above the upper Bollinger Band, indicating strong bullish momentum. Bearish Close Below Lower Band: Candles are colored red when the closing price is below the lower Bollinger Band, signaling strong bearish momentum. Neutral Candles: Candles that close within the bands remain their default color. This visual aid helps traders quickly identify potential breakout or breakdown points based on Bollinger Band dynamics.
Pine Script® 인디케이터
AtulGalande의
Kernel Regression Envelope with SMI OscillatorThis script combines the predictive capabilities of the **Nadaraya-Watson estimator**, implemented by the esteemed jdehorty (credit to him for his excellent work on the `KernelFunctions` library and the original Nadaraya-Watson Envelope indicator), with the confirmation strength of the **Stochastic Momentum Index (SMI)** to create a dynamic trend reversal strategy. The core idea is to identify potential overbought and oversold conditions using the Nadaraya-Watson Envelope and then confirm these signals with the SMI before entering a trade. **Understanding the Nadaraya-Watson Envelope:** The Nadaraya-Watson estimator is a non-parametric regression technique that essentially calculates a weighted average of past price data to estimate the current underlying trend. Unlike simple moving averages that give equal weight to all past data within a defined period, the Nadaraya-Watson estimator uses a **kernel function** (in this case, the Rational Quadratic Kernel) to assign weights. The key parameters influencing this estimation are: * **Lookback Window (h):** This determines how many historical bars are considered for the estimation. A larger window results in a smoother estimation, while a smaller window makes it more reactive to recent price changes. * **Relative Weighting (alpha):** This parameter controls the influence of different time frames in the estimation. Lower values emphasize longer-term price action, while higher values make the estimator more sensitive to shorter-term movements. * **Start Regression at Bar (x\_0):** This allows you to exclude the potentially volatile initial bars of a chart from the calculation, leading to a more stable estimation. The script calculates the Nadaraya-Watson estimation for the closing price (`yhat_close`), as well as the highs (`yhat_high`) and lows (`yhat_low`). The `yhat_close` is then used as the central trend line. **Dynamic Envelope Bands with ATR:** To identify potential entry and exit points around the Nadaraya-Watson estimation, the script uses **Average True Range (ATR)** to create dynamic envelope bands. ATR measures the volatility of the price. By multiplying the ATR by different factors (`nearFactor` and `farFactor`), we create multiple bands: * **Near Bands:** These are closer to the Nadaraya-Watson estimation and are intended to identify potential immediate overbought or oversold zones. * **Far Bands:** These are further away and can act as potential take-profit or stop-loss levels, representing more extreme price extensions. The script calculates both near and far upper and lower bands, as well as an average between the near and far bands. This provides a nuanced view of potential support and resistance levels around the estimated trend. **Confirming Reversals with the Stochastic Momentum Index (SMI):** While the Nadaraya-Watson Envelope identifies potential overextended conditions, the **Stochastic Momentum Index (SMI)** is used to confirm a potential trend reversal. The SMI, unlike a traditional stochastic oscillator, oscillates around a zero line. It measures the location of the current closing price relative to the median of the high/low range over a specified period. The script calculates the SMI on a **higher timeframe** (defined by the "Timeframe" input) to gain a broader perspective on the market momentum. This helps to filter out potential whipsaws and false signals that might occur on the current chart's timeframe. The SMI calculation involves: * **%K Length:** The lookback period for calculating the highest high and lowest low. * **%D Length:** The period for smoothing the relative range. * **EMA Length:** The period for smoothing the SMI itself. The script uses a double EMA for smoothing within the SMI calculation for added smoothness. **How the Indicators Work Together in the Strategy:** The strategy enters a long position when: 1. The closing price crosses below the **near lower band** of the Nadaraya-Watson Envelope, suggesting a potential oversold condition. 2. The SMI crosses above its EMA, indicating positive momentum. 3. The SMI value is below -50, further supporting the oversold idea on the higher timeframe. Conversely, the strategy enters a short position when: 1. The closing price crosses above the **near upper band** of the Nadaraya-Watson Envelope, suggesting a potential overbought condition. 2. The SMI crosses below its EMA, indicating negative momentum. 3. The SMI value is above 50, further supporting the overbought idea on the higher timeframe. Trades are closed when the price crosses the **far band** in the opposite direction of the trade. A stop-loss is also implemented based on a fixed value. **In essence:** The Nadaraya-Watson Envelope identifies areas where the price might be deviating significantly from its estimated trend. The SMI, calculated on a higher timeframe, then acts as a confirmation signal, suggesting that the momentum is shifting in the direction of a potential reversal. The ATR-based bands provide dynamic entry and exit points based on the current volatility. **How to Use the Script:** 1. **Apply the script to your chart.** 2. **Adjust the "Kernel Settings":** * **Lookback Window (h):** Experiment with different values to find the smoothness that best suits the asset and timeframe you are trading. Lower values make the envelope more reactive, while higher values make it smoother. * **Relative Weighting (alpha):** Adjust to control the influence of different timeframes on the Nadaraya-Watson estimation. * **Start Regression at Bar (x\_0):** Increase this value if you want to exclude the initial, potentially volatile, bars from the calculation. * **Stoploss:** Set your desired stop-loss value. 3. **Adjust the "SMI" settings:** * **%K Length, %D Length, EMA Length:** These parameters control the sensitivity and smoothness of the SMI. Experiment to find settings that work well for your trading style. * **Timeframe:** Select the higher timeframe you want to use for SMI confirmation. 4. **Adjust the "ATR Length" and "Near/Far ATR Factor":** These settings control the width and sensitivity of the envelope bands. Smaller ATR lengths make the bands more reactive to recent volatility. 5. **Customize the "Color Settings"** to your preference. 6. **Observe the plots:** * The **Nadaraya-Watson Estimation (yhat)** line represents the estimated underlying trend. * The **near and far upper and lower bands** visualize potential overbought and oversold zones based on the ATR. * The **fill areas** highlight the regions between the near and far bands. 7. **Look for entry signals:** A long entry is considered when the price touches or crosses below the lower near band and the SMI confirms upward momentum. A short entry is considered when the price touches or crosses above the upper near band and the SMI confirms downward momentum. 8. **Manage your trades:** The script provides exit signals when the price crosses the far band. The fixed stop-loss will also close trades if the price moves against your position. **Justification for Combining Nadaraya-Watson Envelope and SMI:** The combination of the Nadaraya-Watson Envelope and the SMI provides a more robust approach to identifying potential trend reversals compared to using either indicator in isolation. The Nadaraya-Watson Envelope excels at identifying potential areas where the price is overextended relative to its recent history. However, relying solely on the envelope can lead to false signals, especially in choppy or volatile markets. By incorporating the SMI as a confirmation tool, we add a momentum filter that helps to validate the potential reversals signaled by the envelope. The higher timeframe SMI further helps to filter out noise and focus on more significant shifts in momentum. The ATR-based bands add a dynamic element to the entry and exit points, adapting to the current market volatility. This mashup aims to leverage the strengths of each indicator to create a more reliable trading strategy.
Pine Script™ 전략
nguyentd010의
2
Multi-Feature IndicatorThe Multi-Feature Indicator combines three popular technical analysis tools — RSI, Moving Averages (MA), and MACD — into a single indicator to provide unified buy and sell signals. This script is designed for traders who want to filter out noise and focus on signals confirmed by multiple criteria. Features: RSI (Relative Strength Index): Measures momentum and identifies overbought (70) and oversold (30) conditions. A signal is triggered when RSI crosses these thresholds. Moving Averages (MA): Uses a short-term moving average (default: 9 periods) and a long-term moving average (default: 21 periods). Buy signals occur when the short-term MA crosses above the long-term MA, indicating an uptrend. Sell signals occur when the short-term MA crosses below the long-term MA, indicating a downtrend. MACD (Moving Average Convergence Divergence): A trend-following momentum indicator that shows the relationship between two moving averages of an asset's price. Signals are based on the crossover of the MACD line and its signal line. Unified Buy and Sell Signals: Buy Signal: Triggered when: RSI crosses above 30 (leaving oversold territory). Short-term MA crosses above the long-term MA. MACD line crosses above the signal line. Sell Signal: Triggered when: RSI crosses below 70 (leaving overbought territory). Short-term MA crosses below the long-term MA. MACD line crosses below the signal line. Visualization: The indicator plots the short-term and long-term moving averages on the price chart. Green "BUY" labels appear below price bars when all buy conditions are met. Red "SELL" labels appear above price bars when all sell conditions are met. Parameters: RSI Length: Default is 14. This controls the sensitivity of the RSI. Short MA Length: Default is 9. This determines the short-term trend. Long MA Length: Default is 21. This determines the long-term trend. Use Case: The Multi-Feature Indicator is ideal for traders seeking higher confirmation before entering or exiting trades. By combining momentum (RSI), trend (MA), and momentum shifts (MACD), it reduces false signals and enhances decision-making. How to Use: Apply the indicator to your chart in TradingView. Look for "BUY" or "SELL" signals, which appear when all conditions align. Use this tool in conjunction with other analysis techniques for best results. Note: The default settings are suitable for many assets, but you may need to adjust them for different timeframes or market conditions. This indicator is meant to assist in trading decisions and should not be used as the sole basis for trading.
Pine Script® 인디케이터
filbek의
Tomas Ratio Strategy with Multi-Timeframe AnalysisHello, I would like to present my new indicator I have compiled together inspired by Calmar Ratio which is a ratio that measures gains vs losers but with a little twist. Basically the idea is that if HLC3 is above HLC3 (or previous one) it will count as a gain and it will calculate the percentage of winners in last 720 hourly bars and then apply 168 hour standard deviation to the weekly average daily gains. The idea is that you're supposed to buy if the thick blue line goes up and not buy if it goes down (signalized by the signal line). I liked that idea a lot, but I wanted to add an option to fire open and close signals. I have also added a logic that it not open more trades in relation the purple line which shows confidence in buying. As input I recommend only adjusting the amount of points required to fire a signal. Note that the lower amount you put, the more open trades it will allow (and vice versa) Feel free to remove that limiter if you want to. It works without it as well, this script is meant for inexperienced eye. I will also publish a indicator script with this limiter removed and alerts added for you to test this strategy if you so choose to. Also, I have added that the trades will enter only if price is above 720 period EMA Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Always backtest thoroughly and adjust parameters based on your trading style and market conditions. Made in collaboration with ChatGPT.
Pine Script™ 전략
Beefmaster3의
UVR Crypto TrendINDICATOR OVERVIEW: UVR CRYPTO TREND The UVR Crypto Trend indicator is a custom-built tool designed specifically for cryptocurrency markets, utilizing advanced volatility, momentum, and trend-following techniques. It aims to identify trend reversals and provide buy and sell signals by analyzing multiple factors, such as price volatility(UVR), RSI (Relative Strength Index), CMF (Chaikin Money Flow), and EMA (Exponential Moving Average). The indicator is optimized for CRYPTO MARKETS only. KEY FEATURES AND HOW IT WORKS Volatility Analysis with UVR The UVR (Ultimate Volatility Rate) is a proprietary calculation that measures market volatility by comparing significant price extremes and smoothing the data over time. Purpose: UVR aims to reduce noise in low-volatility environments and highlight significant movements during higher-volatility periods. While it strives to improve filtering in low-volatility conditions, it does not guarantee perfect performance, making it a balanced and adaptable tool for dynamic markets like cryptocurrency. HOW UVR (ULTIMATE VOLATILITY RATE) IS CALCULATED UVR is calculated using a method that ensures precise measurement of market volatility by comparing price extremes across consecutive candles: Volatility Components: Two values are calculated to represent potential price fluctuations: The absolute difference between the current candle's high and the previous candle's low: Volatility Component 1=∣High−Low ∣ The absolute difference between the previous candle's high and the current candle's low: Volatility Component 2=∣High −Low∣ Volatility Ratio: The larger of the two components is selected as the Volatility Ratio, ensuring UVR captures the most significant movement: Volatility Ratio=max(Volatility Component 1,Volatility Component 2) Smoothing with SMMA: To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles): UVR=(UVR(Previous)×(Period−1)+Volatility Ratio)/Period ​ This calculation ensures UVR adapts dynamically to market conditions, focusing on significant price movements while filtering out noise. RSI FOR MOMENTUM DETECTION RSI (Relative Strength Index) identifies overbought and oversold conditions. Trend Confirmation at the 50 Level RSI values crossing above 50 signal the potential start of an upward trend. RSI values crossing below 50 indicate the potential start of a downward trend. Key Reversals at Extreme Levels RSI detects trend reversals at overbought (>70) and oversold (<30) levels. For example: Overbought Trend Reversal: RSI >70 followed by bearish price action signals a potential downtrend. Oversold Trend Reversal: RSI <30 with bullish confirmation signals a potential uptrend. Rare Extreme RSI Readings Extreme levels, such as RSI <12 (oversold) or RSI >88 (overbought), are used to identify rare yet powerful reversals. ---HOW IT DIFFERS FROM OTHER INDICATORS--- Using UVR High and Low Values The Ultimate Volatility Rate (UVR) focuses on analyzing the high and low price ranges of the market to measure volatility. Unlike traditional trend indicators that rely primarily on momentum or moving average crossovers, UVR leverages price extremes to better identify trend reversals. This approach ensures fewer false signals during low-volatility phases and more accurate trend detection during high-volatility conditions. UVR as the Core Component The indicator is fundamentally built around UVR as the primary filter, while supporting tools like RSI (momentum detection), CMF (volume confirmation), and EMA (trend validation) complement its functionality. By integrating these additional components, the indicator provides a multidimensional analysis rather than relying solely on a single approach. Dynamic Adaptation to Volatility UVR dynamically adjusts to market conditions, striving to improve filtering in low-volatility phases. While not flawless, this approach minimizes false signals and adapts more effectively to varying levels of market activity. Trend Clouds for Visual Guidance UVR-based dynamic clouds visually mark high and low price areas, highlighting potential consolidation or retracement zones. These clouds serve as guides for setting stop-loss or take-profit levels, offering clear risk management strategies. BUY AND SELL SIGNAL LOGIC BUY CONDITIONS Momentum-Based Buy-Entry RSI >50, CMF >0, and the close price is above EMA50. The price difference between open and close exceeds a threshold based on UVR. Oversold Reversal RSI <30 and CMF >0 with a strong bullish candle (close > open and UVR-based sensitivity filter). Breakout Confirmation The price breaks above a previously identified resistance, with conditions for RSI and CMF supporting the breakout. Reversal from Oversold RSI Extreme RSI <12 on the previous candle with a strong rebound on the current candle with UVR confirmation filter. SELL CONDITIONS Momentum-Based Sell-Entry RSI <50, CMF <0, and the close price is below EMA50. The price difference between open and close exceeds the UVR threshold. Overbought Reversal RSI >70 with bearish price action (open > close and UVR-based sensitivity filter). Breakdown Confirmation The price breaks below a previously identified support, with RSI and CMF supporting the breakdown. Reversal from Overbought RSI Extreme RSI >88 on the previous candle with a bearish confirmation on the current candle with UVR confirmation filter. BUY AND SELL SIGNALS VISUALIZATION The UVR Crypto Trend Indicator visually represents buy and sell conditions using dynamic plots, making it easier for traders to interpret and act on the signals. Below is an explanation of the visual representation: Buy Signals and Visualization Signal Trigger: A buy signal is generated when one of the defined Buy Conditions is met (e.g., RSI >50, CMF >0, price above EMA50). Visual Representation: A blue upward arrow appears at the candle where the buy condition is triggered. A blue cloud forms above the price candles, representing the strength of the bullish trend. The cloud dynamically adapts to market volatility, using the UVR calculation to mark support zones or consolidation levels. Purpose of the Blue Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving up Sell Signals and Visualization Signal Trigger: A sell signal is generated when one of the defined Sell Conditions is met (e.g., RSI <50, CMF <0, price below EMA50). Visual Representation: A red downward arrow appears at the candle where the sell condition is triggered. A red cloud forms below the price candles, representing the strength of the bearish trend. Like the blue cloud, it uses the UVR calculation to dynamically mark resistance zones or potential retracement levels. Purpose of the Red Cloud: It acts as a visual guide for price movements and stay horizontal when the trend is not moving down. CONCLUSION The UVR Crypto Trend indicator provides a powerful tool for trend reversal detection by combining volatility analysis, momentum confirmation, and trend-following techniques. Its unique use of the Ultimate Volatility Rate (UVR) as a core element, supported by proven indicators like RSI, CMF, and EMA, ensures reliable and actionable signals tailored for the crypto market's dynamic nature. By leveraging UVR’s high and low price range analysis, it achieves a level of precision that traditional indicators lack, making it a high-performing system for cryptocurrency traders.
Pine Script® 인디케이터
ebecihalil의
FRAMA Channel [BigBeluga]This is a trend-following indicator that utilizes the Fractal Adaptive Moving Average (FRAMA) to create a dynamic channel around the price. The FRAMA Channel helps identify uptrends, downtrends, and ranging markets by examining the relationship between the price and the channel's boundaries. It also marks trend changes with arrows, optionally displaying either price values or average volume at these key points. 🔵 IDEA The core idea behind the FRAMA Channel indicator is to use the fractal nature of markets to adapt to different market conditions. By creating a channel around the FRAMA line, it not only tracks price trends but also adapts its sensitivity based on market volatility. When the price crosses the upper or lower bands of the channel, it signals a potential shift in trend direction. If the price remains within the channel and crosses over the upper or lower bands without a breakout, the market is likely in a ranging phase with low momentum. This adaptive approach makes the FRAMA Channel effective in both trending and ranging market environments. 🔵 KEY FEATURES & USAGE ◉ Dynamic FRAMA Channel with Trend Signals: The FRAMA Channel uses a fractal-based moving average to create an adaptive channel around the price. When the price crosses above the upper band, it signals an uptrend and plots an upward arrow with the price (or average volume) value. Conversely, when the price crosses below the lower band, it signals a downtrend and marks the point with a downward arrow. This dynamic adaptation to market conditions helps traders identify key trend shifts effectively. ◉ Ranging Market Detection: If the price remains within the channel, and only the high crosses the upper band or the low crosses the lower band, the indicator identifies a ranging market with low momentum. In this case, the channel turns gray, signaling a neutral trend. This is particularly useful for avoiding false signals during periods of market consolidation. ◉ Color-Coded Candles and Channel Bands: Candles and channel bands are color-coded to reflect the current trend direction. Green indicates an upward trend, blue shows a downward trend, and gray signals a neutral or ranging market. This visual representation makes it easy to identify the market condition at a glance, helping traders make informed decisions quickly. ◉ Customizable Display of Price or Average Volume: On trend change signals, the indicator allows users to choose whether to display the price at the point of trend change or the average volume of 10 bars. This flexibility enables traders to focus on the information that is most relevant to their strategy, whether it's the exact price entery or the volume context of the market shift. Displaying the average volume allows to see the strength of the trend change. Price Data: Average Volume of points: 🔵 CUSTOMIZATION Length & Bands Distance: Adjust the length for the FRAMA calculation to control the sensitivity of the channel. A shorter length makes the channel more reactive to price changes, while a longer length smooths it out. The Bands Distance setting determines how far the bands are from the FRAMA line, helping to define the breakout and ranging conditions. Signals Data: Choose between displaying the price or the average volume on trend change arrows. This allows traders to focus on either the exact price level of trend change or the market volume context. Color Settings: Customize the colors for upward momentum, downward momentum, and neutral states to suit your charting preferences. You can also toggle whether to color the candles based on the momentum for a clearer visual of the trend direction. The FRAMA Channel indicator adapts to market conditions, providing a versatile tool for identifying trends and ranging markets with clear visual cues.
Pine Script® 인디케이터
BigBeluga의
35
Candle Spread Candle Spread is an indicator that helps traders measure the range of price movement within each candle over a specified time period. It calculates the range of the candle between the High and Low (High - Low) and displays it in a separate window below the chart as columns. Key Features: Colored Bars: The bars are colored based on the candle's direction: Bullish Candle: Bars are Green. Bearish Candle: Bars are Red. Moving Average: The indicator includes a 30-period Simple Moving Average (SMA), which represents the overall average range of the candles. Helps Identify Market Volatility: This indicator helps traders identify wide-range candles (signaling high volatility in the market), which could indicate a surge in momentum or potential trend reversals.
Pine Script® 인디케이터
itsabdullah의
1
Salman Indicator: Multi-Purpose Price ActionSalman Indicator: Multi-Purpose Price Action Tool for Pin Bars, Breakouts, and VWAP Anchoring This indicator provides a comprehensive suite of price action insights, designed for active traders looking to identify key market structures and potential reversals. The script incorporates a Quarterly VWAP for trend bias, marks pin bars for possible reversal points, highlights outside bars for volatility signals, and indicates simple breakouts and pivot-level breaks. Customizable settings allow for flexibility in various trading styles, with default settings optimized for daily charts. Outside Bars : Represented by an ⤬ symbol on the chart, these indicate bars where the current high is greater than the previous bar’s high, and the low is lower than the previous bar’s low, signaling high volatility and potential market reversals. Pin Bars : Denoted by a small dot at the top or bottom of a candle’s wick, these are crucial signals of potential reversal areas. Pin bars are identified based on the percentage length of their shadows, with adjustable strictness in settings. Quarterly VWAP : The light blue line on the chart represents the VWAP (Volume-Weighted Average Price), which is anchored to the Quarterly period by default. The VWAP acts as a directional bias filter, helping you to determine underlying market trends. This period, source, and offset are fully adjustable in the script’s settings. Simple Breaks : Hollow candles on the chart indicate "simple breaks," defined when the current bar closes above the previous high or below the previous low. This is an effective way to highlight directional momentum in the market. Bonus Pivot Breaks : The tilde symbol ~ appears when the price closes above or below prior pivot high/low levels, helping traders spot significant breakout or breakdown points relative to recent pivots. Alerts Simple Breaks : Alerts you when a breakout occurs beyond the previous bar’s high or low. Pin Bars : Notifies you of potential reversal points as indicated by bullish or bearish pin bars. Outside Bars : Triggers an alert whenever an outside bar is detected, indicating possible volatility changes. How to Use VWAP for Trend Bias : Use the Quarterly VWAP line to gauge overall market trend, with settings that allow adjustment to daily, weekly, monthly, or even larger time frames. Pin Bars for Reversal Potential : Look for the dot markers on candle wicks, where the strictness of the pin bar detection can be adjusted via settings to match your trading preference. Simple and Pivot Breaks for Momentum : Watch for hollow candles and the tilde symbol ~ as indicators of potential breakout momentum and pivot break levels, respectively. This script can serve traders on multiple timeframes, from daily to weekly and beyond. The flexible configuration allows for adjustments in VWAP anchoring and pin bar criteria, providing a tailored fit for individual trading strategies.
Pine Script® 인디케이터
luc_crypto의
2
SuperATR 7-Step Profit - Strategy [presentTrading] Long time no see! █ Introduction and How It Is Different The SuperATR 7-Step Profit Strategy is a multi-layered trading approach that integrates adaptive Average True Range (ATR) calculations with momentum-based trend detection. What sets this strategy apart is its sophisticated 7-step take-profit mechanism, which combines four ATR-based exit levels and three fixed percentage levels. This hybrid approach allows traders to dynamically adjust to market volatility while systematically capturing profits in both long and short market positions. Traditional trading strategies often rely on static indicators or single-layered exit strategies, which may not adapt well to changing market conditions. The SuperATR 7-Step Profit Strategy addresses this limitation by: - Using Adaptive ATR: Enhances the standard ATR by making it responsive to current market momentum. - Incorporating Momentum-Based Trend Detection: Identifies stronger trends with higher probability of continuation. - Employing a Multi-Step Take-Profit System: Allows for gradual profit-taking at predetermined levels, optimizing returns while minimizing risk. BTCUSD 6hr Performance █ Strategy, How It Works: Detailed Explanation The strategy revolves around detecting strong market trends and capitalizing on them using an adaptive ATR and momentum indicators. Below is a detailed breakdown of each component of the strategy. 🔶 1. True Range Calculation with Enhanced Volatility Detection The True Range (TR) measures market volatility by considering the most significant price movements. The enhanced TR is calculated as: TR = Max Where: High and Low are the current bar's high and low prices. Previous Close is the closing price of the previous bar. Abs denotes the absolute value. Max selects the maximum value among the three calculations. 🔶 2. Momentum Factor Calculation To make the ATR adaptive, the strategy incorporates a Momentum Factor (MF), which adjusts the ATR based on recent price movements. Momentum = Close - Close Stdev_Close = Standard Deviation of Close over n periods Normalized_Momentum = Momentum / Stdev_Close (if Stdev_Close ≠ 0) Momentum_Factor = Abs(Normalized_Momentum) Where: Close is the current closing price. n is the momentum_period, a user-defined input (default is 7). Standard Deviation measures the dispersion of closing prices over n periods. Abs ensures the momentum factor is always positive. 🔶 3. Adaptive ATR Calculation The Adaptive ATR (AATR) adjusts the traditional ATR based on the Momentum Factor, making it more responsive during volatile periods and smoother during consolidation. Short_ATR = SMA(True Range, short_period) Long_ATR = SMA(True Range, long_period) Adaptive_ATR = / Where: SMA is the Simple Moving Average. short_period and long_period are user-defined inputs (defaults are 3 and 7, respectively). 🔶 4. Trend Strength Calculation The strategy quantifies the strength of the trend to filter out weak signals. Price_Change = Close - Close ATR_Multiple = Price_Change / Adaptive_ATR (if Adaptive_ATR ≠ 0) Trend_Strength = SMA(ATR_Multiple, n) 🔶 5. Trend Signal Determination If (Short_MA > Long_MA) AND (Trend_Strength > Trend_Strength_Threshold): Trend_Signal = 1 (Strong Uptrend) Elif (Short_MA < Long_MA) AND (Trend_Strength < -Trend_Strength_Threshold): Trend_Signal = -1 (Strong Downtrend) Else: Trend_Signal = 0 (No Clear Trend) 🔶 6. Trend Confirmation with Price Action Adaptive_ATR_SMA = SMA(Adaptive_ATR, atr_sma_period) If (Trend_Signal == 1) AND (Close > Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Elif (Trend_Signal == -1) AND (Close < Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Else: Trend_Confirmed = False Local Performance 🔶 7. Multi-Step Take-Profit Mechanism The strategy employs a 7-step take-profit system █ Trade Direction The SuperATR 7-Step Profit Strategy is designed to work in both long and short market conditions. By identifying strong uptrends and downtrends, it allows traders to capitalize on price movements in either direction. Long Trades: Initiated when the market shows strong upward momentum and the trend is confirmed. Short Trades: Initiated when the market exhibits strong downward momentum and the trend is confirmed. █ Usage To implement the SuperATR 7-Step Profit Strategy: 1. Configure the Strategy Parameters: - Adjust the short_period, long_period, and momentum_period to match the desired sensitivity. - Set the trend_strength_threshold to control how strong a trend must be before acting. 2. Set Up the Multi-Step Take-Profit Levels: - Define ATR multipliers and fixed percentage levels according to risk tolerance and profit goals. - Specify the percentage of the position to close at each level. 3. Apply the Strategy to a Chart: - Use the strategy on instruments and timeframes where it has been tested and optimized. - Monitor the positions and adjust parameters as needed based on performance. 4. Backtest and Optimize: - Utilize TradingView's backtesting features to evaluate historical performance. - Adjust the default settings to optimize for different market conditions. █ Default Settings Understanding default settings is crucial for optimal performance. Short Period (3): Affects the responsiveness of the short-term MA. Effect: Lower values increase sensitivity but may produce more false signals. Long Period (7): Determines the trend baseline. Effect: Higher values reduce noise but may delay signals. Momentum Period (7): Influences adaptive ATR and trend strength. Effect: Shorter periods react quicker to price changes. Trend Strength Threshold (0.5): Filters out weaker trends. Effect: Higher thresholds yield fewer but stronger signals. ATR Multipliers: Set distances for ATR-based exits. Effect: Larger multipliers aim for bigger moves but may reduce hit rate. Fixed TP Levels (%): Control profit-taking on smaller moves. Effect: Adjusting these levels affects how quickly profits are realized. Exit Percentages: Determine how much of the position is closed at each TP level. Effect: Higher percentages reduce exposure faster, affecting risk and reward. Adjusting these variables allows you to tailor the strategy to different market conditions and personal risk preferences. By integrating adaptive indicators and a multi-tiered exit strategy, the SuperATR 7-Step Profit Strategy offers a versatile tool for traders seeking to navigate varying market conditions effectively. Understanding and adjusting the key parameters enables traders to harness the full potential of this strategy.
Pine Script™ 전략
PresentTrading의
7
Supertrend with EMASupertrend + EMA Indicator This custom indicator combines the popular Supertrend and Exponential Moving Average (EMA) indicators to enhance trend analysis and signal accuracy. The Supertrend tracks price volatility to identify potential trend directions, while the EMA provides a smooth moving average to help refine entries and exits based on trend momentum. Features: Supertrend: Detects trend reversals by using price action and volatility, making it effective in trending markets. Exponential Moving Average (EMA): Smoothens price fluctuations, helping you gauge the trend’s strength and filter out false signals. Versatile for multiple timeframes and asset classes. Ideal for traders looking to catch sustained trends and avoid false breakouts, this indicator offers an improved way to follow market momentum and confirm trend strength. Customize the Supertrend ATR multiplier and EMA length to suit your trading style and timeframe.
Pine Script® 인디케이터
Pulse_Traderrr의
1
Range Tightening Indicator (RTI)The Range Tightening Indicator (RTI) quantifies price volatility relative to recent price action, helping traders identify low-volatility consolidations that often precede breakouts. Range Tightening is calculated by measuring the range between each bar’s high and low prices over a chosen lookback period. A 5-bar period is recommended for shorter-term momentum setups and a 15-bar period is recommended for swing trading. An option for a custom period is available to suit specific strategies. The default look back for custom is 50, ideal for longer term traders. Other Key Features: Dynamic Color Coding: The RTI line turns green when volatility doubles after a drop to or below 20, flagging significant volatility shifts commonly seen before breakouts. Low-Volatility Dots: Orange dots appear on the RTI line when two or more consecutive bars show RTI values below 20, visually marking extended low-volatility periods. Volatility Zones: Shaded zones provide quick context: Zone 1 (0-5): Extremely tight volatility, shown in red. Zone 2 (5-10): Low volatility, shown in light green. Zone 3 (10-15): Moderate low volatility, shown in green. The RTI indicator is ideal for traders looking to anticipate breakout conditions, with features that highlight consolidation phases, support momentum strategies, and help improve entry timing by focusing on shifts in volatility. This indicator was inspired after Deepvue's RMV Indicator, but uses a different calculation. Results may vary.
Pine Script® 인디케이터
Ollie_AllCaps의
11