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Global Liquidity Index with Editable DEMA + 107 Day OffsetGlobal Liquidity DEMA (107-Day Lead) This indicator visualizes a smoothed version of global central bank liquidity with a forward time shift of 107 days. The concept is based on the macroeconomic observation that markets tend to lag changes in global liquidity — particularly from central banks like the Federal Reserve, ECB, BOJ, and PBOC. The script uses a Double Exponential Moving Average (DEMA) to smooth the combined balance sheets and money supply inputs. It then offsets the result into the future by 107 days, allowing you to visually align liquidity trends with delayed market reactions. A second plot (ROC SMA) is included to help identify liquidity momentum shifts. 🔍 How to Use: Add this indicator to any chart (S&P 500, BTC, Gold, etc.) Compare price action to the forward-shifted liquidity trend Look for divergence, confirmation, or crossovers with price Use as a macro timing tool for long-term entries/exits 📌 Included Features: Editable DEMA smoothing length ROC + SMA overlay for momentum signals Fixed 107-day forward projection Includes main DEMA and ROC SMA both real-time and shifted
Penunjuk Pine Script®
oleh TheGoldphoenix
1
Opal Title: Opal Lines Short Title: Opal Lines Description: Opal Lines is a dynamic overlay indicator that plots horizontal price levels at the open of key market sessions throughout the trading day, based on Eastern Time (ET). Designed for traders who rely on session-based price action, it marks significant intraday events such as the European Open (3:00 AM ET), Gold Open (8:20 AM ET), Regular Market Open (9:30 AM ET), and Globex Open (6:00 PM ET), among others. Each line is color-coded and toggleable via inputs, allowing users to customize which sessions they want to track. Unlike generic time-based tools, Opal Lines captures the opening price at precise minute intervals and extends these levels across the chart until the daily reset at 5:00 PM ET (except for the Globex line, which persists into the next day). This makes it ideal for identifying support/resistance zones, breakout levels, or reference points tied to major market openings. Traders can use it across forex, futures, equities, or commodities to align their strategies with global session dynamics. Key Features: Seven toggleable session lines with distinct colors for easy identification. Time-specific logic using ET, adaptable to any chart timeframe. Persistent lines that reset daily, with Globex extending overnight. Lightweight and overlay-friendly, preserving chart clarity. How to Use: Add the indicator to your chart and enable the sessions relevant to your trading style. Watch for price interactions with these levels—e.g., bounces, breaks, or retests—especially during high-volume periods. Combine with other tools like volume or oscillators for confirmation. Note: Ensure your chart’s timezone is set to “America/New_York” (ET) for accurate alignment.
Penunjuk Pine Script®
oleh FlyingSeaHorse
DAMA OSC - Directional Adaptive MA OscillatorOverview: The DAMA OSC (Directional Adaptive MA Oscillator) is a highly customizable and versatile oscillator that analyzes the delta between two moving averages of your choice. It detects trend progression, regressions, rebound signals, MA cross and critical zone crossovers to provide highly contextual trading information. Designed for trend-following, reversal timing, and volatility filtering, DAMA OSC adapts to market conditions and highlights actionable signals in real-time. Features: Support for 11 custom moving average types (EMA, DEMA, TEMA, ALMA, KAMA, etc.) Customizable fast & slow MA periods and types Histogram based on percentage delta between fast and slow MA Trend direction coloring with “Green”, “Blue”, and “Red” zones Rebound detection using close or shadow logic Configurable thresholds: Overbought, Oversold, Underbought, Undersold Optional filters: rebound validation by candle color or flat-zone filter Full visual overlay: MA lines, crossover markers, rebound icons Complete alert system with 16 preconfigured conditions How It Works: Histogram Logic: The histogram measures the percentage difference between the fast and slow MA: hist_value = ((FastMA - SlowMA) / SlowMA) * 100 Trend State Logic (Green / Blue / Red): Green_Up = Bullish acceleration Blue_Up (or Red_Up, depending the display settings) = Bullish deceleration Blue_Down (or Green_Down, depending the display settings) = Bearish deceleration Red_Down = Bearish acceleration Rebound Logic: A rebound is detected when price: Crosses back over a selected MA (fast or slow) After being away for X candles (rebound_backstep) Optional: filtered by histogram zones or candle color Inputs: Display Options: Show/hide MA lines Show/hide MA crosses Show/hide price rebounds Enable/disable blue deceleration zones DAMA Settings: Fast/Slow MA type and length Source input (close by default) Overbought/Oversold levels Underbought/Undersold levels Rebound Settings: Use Close and/or Shadow Rebound MA (Fast/Slow) Candle color validation Flat zone filter rebounds (between UnderSold and UnderBought) Available MA type: SMA (Simple MA) EMA (Exponential MA) DEMA (Double EMA) TEMA (Triple EMA) WMA (Weighted MA) HMA (Hull MA) VWMA (Volume Weighted MA) Kijun (Ichimoku Baseline) ALMA (Arnaud Legoux MA) KAMA (Kaufman Adaptive MA) HULLMOD (Modified Hull MA, Same as HMA, tweaked for Pine v6 constraints) Notes: **DEMA/TEMA** reduce lag compared to EMA, useful for faster reaction in trending markets. **KAMA/ALMA** are better suited to noisy or volatile environments (e.g., BTC). **VWMA** reacts strongly to volume spikes. **HMA/HULLMOD** are great for visual clarity in fast moves. Alerts Included (Fully Configurable): Golden Cross: Fast MA crosses above Slow MA Death Cross: Fast MA crosses below Slow MA Bullish Rebound: Rebound from below MA in uptrend Bearish Rebound: Rebound from above MA in downtrend Bull Progression: Transition into Green_Up with positive delta Bear Progression: Transition into Red_Down with negative delta Bull Regression: Exit from Red_Down into Blue/Green with negative delta Bear Regression: Exit from Green_Up into Blue/Red with positive delta Crossover Overbought: Histogram crosses above Overbought Crossunder Overbought: Histogram crosses below Overbought Crossover Oversold: Histogram crosses above Oversold Crossunder Oversold: Histogram crosses below Oversold Crossover Underbought: Histogram crosses above Underbought Crossunder Underbought: Histogram crosses below Underbought Crossover Undersold: Histogram crosses above Undersold Crossunder Undersold: Histogram crosses below Undersold Credits: Created by Eff_Hash. This code is shared with the TradingView community and full free. do not hesitate to share your best settings and usage.
Penunjuk Pine Script®
oleh Eff_Hash
Trendline Breaks with Multi Fibonacci Supertrend StrategyTMFS Strategy: Advanced Trendline Breakouts with Multi-Fibonacci Supertrend Elevate your algorithmic trading with institutional-grade signal confluence Strategy Genesis & Evolution This advanced trading system represents the culmination of a personal research journey, evolving from my custom " Multi Fibonacci Supertrend with Signals " indicator into a comprehensive trading strategy. Built upon the exceptional trendline detection methodology pioneered by LuxAlgo in their " Trendlines with Breaks " indicator, I've engineered a systematic framework that integrates multiple technical factors into a cohesive trading system. Core Fibonacci Principles At the heart of this strategy lies the Fibonacci sequence application to volatility measurement: // Fibonacci-based factors for multiple Supertrend calculations factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval = 0.01, step = 0.01) factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval = 0.01, step = 0.01) factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval = 0.01, step = 0.01) These precise Fibonacci ratios create a dynamic volatility envelope that adapts to changing market conditions while maintaining mathematical harmony with natural price movements. Dynamic Trendline Detection The strategy incorporates LuxAlgo's pioneering approach to trendline detection: // Pivotal swing detection (inspired by LuxAlgo) pivot_high = ta.pivothigh(swing_length, swing_length) pivot_low = ta.pivotlow(swing_length, swing_length) // Dynamic slope calculation using ATR slope = atr_value / swing_length * atr_multiplier // Update trendlines based on pivot detection if bool(pivot_high) upper_slope := slope upper_trendline := pivot_high else upper_trendline := nz(upper_trendline) - nz(upper_slope) This adaptive trendline approach automatically identifies key structural market boundaries, adjusting in real-time to evolving chart patterns. Breakout State Management The strategy implements sophisticated state tracking for breakout detection: // Track breakouts with state variables var int upper_breakout_state = 0 var int lower_breakout_state = 0 // Update breakout state when price crosses trendlines upper_breakout_state := bool(pivot_high) ? 0 : close > upper_trendline ? 1 : upper_breakout_state lower_breakout_state := bool(pivot_low) ? 0 : close < lower_trendline ? 1 : lower_breakout_state // Detect new breakouts (state transitions) bool new_upper_breakout = upper_breakout_state > upper_breakout_state bool new_lower_breakout = lower_breakout_state > lower_breakout_state This state-based approach enables precise identification of the exact moment when price breaks through a significant trendline. Multi-Factor Signal Confluence Entry signals require confirmation from multiple technical factors: // Define entry conditions with multi-factor confluence long_entry_condition = enable_long_positions and upper_breakout_state > upper_breakout_state and // New trendline breakout di_plus > di_minus and // Bullish DMI confirmation close > smoothed_trend // Price above Supertrend envelope // Execute trades only with full confirmation if long_entry_condition strategy.entry('L', strategy.long, comment = "LONG") This strict requirement for confluence significantly reduces false signals and improves the quality of trade entries. Advanced Risk Management The strategy includes sophisticated risk controls with multiple methodologies: // Calculate stop loss based on selected method get_long_stop_loss_price(base_price) => switch stop_loss_method 'PERC' => base_price * (1 - long_stop_loss_percent) 'ATR' => base_price - long_stop_loss_atr_multiplier * entry_atr 'RR' => base_price - (get_long_take_profit_price() - base_price) / long_risk_reward_ratio => na // Implement trailing functionality strategy.exit( id = 'Long Take Profit / Stop Loss', from_entry = 'L', qty_percent = take_profit_quantity_percent, limit = trailing_take_profit_enabled ? na : long_take_profit_price, stop = long_stop_loss_price, trail_price = trailing_take_profit_enabled ? long_take_profit_price : na, trail_offset = trailing_take_profit_enabled ? long_trailing_tp_step_ticks : na, comment = "TP/SL Triggered" ) This flexible approach adapts to varying market conditions while providing comprehensive downside protection. Performance Characteristics Rigorous backtesting demonstrates exceptional capital appreciation potential with impressive risk-adjusted metrics: Remarkable total return profile (1,517%+) Strong Sortino ratio (3.691) indicating superior downside risk control Profit factor of 1.924 across all trades (2.153 for long positions) Win rate exceeding 35% with balanced distribution across varied market conditions Institutional Considerations The strategy architecture addresses execution complexities faced by institutional participants with temporal filtering and date-range capabilities: // Time Filter settings with flexible timezone support import jason5480/time_filters/5 as time_filter src_timezone = input.string(defval = 'Exchange', title = 'Source Timezone') dst_timezone = input.string(defval = 'Exchange', title = 'Destination Timezone') // Date range filtering for precise execution windows use_from_date = input.bool(defval = true, title = 'Enable Start Date') from_date = input.time(defval = timestamp('01 Jan 2022 00:00'), title = 'Start Date') // Validate trading permission based on temporal constraints date_filter_approved = time_filter.is_in_date_range( use_from_date, from_date, use_to_date, to_date, src_timezone, dst_timezone ) These capabilities enable precise execution timing and market session optimization critical for larger market participants. Acknowledgments Special thanks to LuxAlgo for the pioneering work on trendline detection and breakout identification that inspired elements of this strategy. Their innovative approach to technical analysis provided a valuable foundation upon which I could build my Fibonacci-based methodology. This strategy is shared under the same Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license as LuxAlgo's original work. Past performance is not indicative of future results. Conduct thorough analysis before implementing any algorithmic strategy.
Strategi Pine Script®
oleh FibonacciFlux
21
HALO Oracle - CoffeeKillerHALO Oracle - CoffeeKiller Indicator Guide Hello traders! Today I'm going to walk you through how to use the HALO Oracle indicator, which is a powerful tool for identifying market trends and potential reversal points. Basic Overview The HALO Oracle is a trend-following indicator that combines Heiken Ashi candles with golden ratio calculations to help you identify market direction and key price levels. Main Features 1. Time Settings - You have two modes for time analysis: - Normal Mode: The indicator analyzes each individual candle on your chart - Custom Resolution Mode: You can use a different timeframe for calculations than what's shown on your chart * For example, you could view a 5-minute chart but have the indicator calculate based on 1-hour data * Available timeframes include Monthly (M), Weekly (W), Daily (D), 4 Hours (240), 1 Hour (60), etc. 2. Visual Components Bands and Fill - Two main bands: green and red - The space between these bands is filled with colors: - Green fill indicates a bullish trend - Red fill indicates a bearish trend - You can adjust the thickness of the bands and the transparency of the fill colors Marker Lines - High Marker Line (magenta): Tracks the highest opening price during bullish trends - Low Marker Line (cyan): Tracks the lowest opening price during bearish trends - These lines create a "zone" that helps identify potential support and resistance levels - Diamond markers appear when the trend resets Background Fill - Optional full-chart background coloring - Green background for bullish trends - Red background for bearish trends How to Read the Indicator 1. **Trend Identification** - Green fill/background indicates a bullish trend - Red fill/background indicates a bearish trend - Watch for color changes as they signal potential trend changes 2. **Support and Resistance Levels** - The bands create dynamic support and resistance zones - Price tends to respect these levels during strong trends - Watch for price reactions when it touches either band 3. **Marker Lines** - These act as historical support/resistance levels - The space between marker lines creates a "zone" where price might find support or resistance - Diamond shapes appear when these levels reset, indicating potential trend changes Trading Tips 1. **Trend Trading** - Trade in the direction of the background color - Look for pullbacks to the support/resistance bands in the trend direction - Use marker lines as potential entry/exit points 2. **Reversal Signals** - Watch for diamond markers as they indicate trend resets - Confirm reversals with price action and other indicators - Pay attention to how price reacts around marker lines 3. **Timeframe Analysis** - Use custom resolution for a broader market perspective - Higher timeframes for overall trend - Lower timeframes for entry/exit timing Customization Options 1. **Display Settings** - Toggle bands and fill visibility - Adjust line thickness - Customize colors for all components 2. **Background Options** - Toggle full-chart background - Adjust background transparency 3. **Marker Line Settings** - Toggle visibility of marker lines - Toggle reset diamonds - Customize marker line colors Best Practices 1. Start with the default settings to understand how the indicator behaves 2. Gradually customize colors and settings to match your trading style 3. Use multiple timeframes to confirm trends 4. Don't trade solely based on the indicator - combine it with price action and other tools 5. Pay special attention to areas where marker lines and bands converge 6. Watch for diamond markers as they often precede significant moves Remember, this indicator works best when used as part of a complete trading strategy, not in isolation. The information and signals provided by this indicator are intended solely for educational and informational purposes. They do not constitute financial, legal, or any other professional advice. Past performance is not indicative of future results. Trading and investing involve significant risk, and it is strongly recommended that you use this indicator in conjunction with other analysis tools and indicators. Always consult with a qualified financial advisor or professional before making any investment decisions. The creators and distributors of this indicator expressly disclaim any liability for any losses incurred through the use of the indicator or reliance on the information provided. Use at your own risk.
Penunjuk Pine Script®
oleh CoffeeKiller
TR FVG Finder 1.0TR FVG Finder 1.0 - Identify High-Probability Trading Zones Unlock the power of Fair Value Gaps (FVGs) with this advanced TradingView indicator! Designed for traders seeking high-probability setups, the Fair Value Gap Detector identifies key price imbalances on your chart, helping you spot potential reversal and continuation zones with precision. Key Features: Accurate FVG Detection: Automatically detects bullish and bearish Fair Value Gaps based on a proven 3-candle pattern, highlighting areas where price is likely to return. Customizable Display: Shows the most recent 3 FVGs by default (combined bullish and bearish), with an option to adjust the number of FVGs displayed. Visual Clarity: Draws semi-transparent boxes (green for bullish FVGs, red for bearish FVGs) that extend 15 candles to the right, making it easy to track key levels. Versatile for All Markets: Works on any timeframe and instrument—perfect for forex, stocks, crypto, and commodities like XAU/USD (gold). User-Friendly: Simple to use with customizable settings, ideal for both beginner and experienced traders. How It Works: The indicator identifies FVGs by analyzing a 3-candle pattern: - Bullish FVG: When the high of the candle two bars back is below the low of the current candle. - Bearish FVG: When the low of the candle two bars back is above the high of the current candle. These gaps often act as magnets for price, making them powerful zones for trading strategies like breakouts, pullbacks, or reversals. Why Use This Indicator? - Enhance your technical analysis with a proven concept used by institutional traders. - Spot high-probability trading opportunities with clear visual cues. - Save time by automating FVG detection—no manual drawing required. Best Practices: - Use on lower timeframes (e.g., 15-minute or 1-hour) for more frequent FVGs, especially in volatile markets like forex or crypto. - Combine with other indicators (e.g., support/resistance, volume) for confirmation. - Ideal for strategies like ICT (Inner Circle Trader) concepts, Smart Money trading, and price action analysis. Regards, Trader Riaz
Penunjuk Pine Script®
oleh traderriazofficial
Keltner Channel StrategyOverview The Keltner Channel Strategy is a powerful trend-following and mean-reversion system that leverages the Keltner Channels, EMA crossovers, and ATR-based stop-losses to optimize trade entries and exits. This strategy has proven to be highly effective, particularly when applied to Gold (XAUUSD) and other commodities with strong trend characteristics. 📈 How It Works This strategy incorporates two trading approaches: 1️⃣ Keltner Channel Reversal Trades – Identifies overbought and oversold conditions when price touches the outer bands. 2️⃣ Trend Following Trades – Uses the 9 EMA & 21 EMA crossover, with confirmation from the 50 EMA, to enter trades in the direction of the trend. 🔍 Entry & Exit Criteria 📊 Keltner Channel Entries (Reversal Strategy) ✅ Long Entry: When the price crosses below the lower Keltner Band (potential reversal). ✅ Short Entry: When the price crosses above the upper Keltner Band (potential reversal). ⏳ Exit Conditions: Long positions close when price crosses back above the mid-band (EMA-based). Short positions close when price crosses back below the mid-band (EMA-based). 📈 Trend Following Entries (Momentum Strategy) ✅ Long Entry: When the 9 EMA crosses above the 21 EMA, and price is above the 50 EMA (bullish momentum). ✅ Short Entry: When the 9 EMA crosses below the 21 EMA, and price is below the 50 EMA (bearish momentum). ⏳ Exit Conditions: Long positions close when the 9 EMA crosses back below the 21 EMA. Short positions close when the 9 EMA crosses back above the 21 EMA. 📌 Risk Management & Profit Targeting ATR-based Stop-Losses: Long trades: Stop set at 1.5x ATR below entry price. Short trades: Stop set at 1.5x ATR above entry price. Take-Profit Levels: Long trades: Profit target 2x ATR above entry price. Short trades: Profit target 2x ATR below entry price. 🚀 Why Use This Strategy? ✅ Works exceptionally well on Gold (XAUUSD) due to high volatility. ✅ Combines reversal & trend strategies for improved adaptability. ✅ Uses ATR-based risk management for dynamic position sizing. ✅ Fully automated alerts for trade entries and exits. 🔔 Alerts This script includes automated TradingView alerts for: 🔹 Keltner Band touches (Reversal signals). 🔹 EMA crossovers (Momentum trades). 🔹 Stop-loss & Take-profit activations. 📊 Ideal Markets & Timeframes Best for: Gold (XAUUSD), NASDAQ (NQ), Crude Oil (CL), and trending assets. Recommended Timeframes: 15m, 1H, 4H, Daily. ⚡️ How to Use 1️⃣ Add this script to your TradingView chart. 2️⃣ Select a 15m, 1H, or 4H timeframe for optimal results. 3️⃣ Enable alerts to receive trade notifications in real time. 4️⃣ Backtest and tweak ATR settings to fit your trading style. 🚀 Optimize your Gold trading with this Keltner Channel Strategy! Let me know how it performs for you. 💰📊
Strategi Pine Script®
oleh adkhomepros
Market Structure Break with Volume & ATR#### Indicator Overview: The *Market Structure Break with Volume & ATR (MSB+VolATR)* indicator is designed to identify significant market structure breakouts and breakdowns using a combination of price action, volume analysis, and volatility (ATR). It is particularly useful for traders who rely on higher timeframes for swing trading or positional trading. The indicator highlights bullish and bearish breakouts, retests, fakeouts, and potential buy/sell signals based on RSI overbought/oversold conditions. --- ### Key Features: 1. *Market Structure Analysis*: - Identifies swing highs and lows on a user-defined higher timeframe. - Detects breakouts and breakdowns when price exceeds these levels with volume and ATR validation. 2. *Volume Validation*: - Ensures breakouts are accompanied by above-average volume, reducing the likelihood of false signals. 3. *ATR Filter*: - Filters out insignificant breakouts by requiring the breakout size to exceed a multiple of the ATR. 4. *RSI Integration*: - Adds a momentum filter by considering overbought/oversold conditions using RSI. 5. *Visual Enhancements*: - Draws colored boxes to highlight breakout zones. - Labels breakouts, retests, and fakeouts for easy interpretation. - Displays stop levels for potential trades. 6. *Alerts*: - Provides alert conditions for buy and sell signals, enabling real-time notifications. --- ### Input Settings and Their Effects: 1. **Timeframe (tf): - Determines the higher timeframe for market structure analysis. - *Effect*: A higher timeframe (e.g., 1D) reduces noise and provides more reliable swing points, while a lower timeframe (e.g., 4H) may generate more frequent but less reliable signals. 2. **Lookback Period (length): - Defines the number of historical bars used to identify significant highs and lows. - *Effect*: A longer lookback period (e.g., 50) captures broader market structure, while a shorter period (e.g., 20) reacts faster to recent price action. 3. **ATR Length (atr_length): - Sets the period for ATR calculation. - *Effect*: A shorter ATR length (e.g., 14) reacts faster to recent volatility, while a longer length (e.g., 21) smooths out volatility spikes. 4. **ATR Multiplier (atr_multiplier): - Filters insignificant breakouts by requiring the breakout size to exceed ATR × multiplier. - *Effect*: A higher multiplier (e.g., 0.2) reduces false signals but may miss smaller breakouts. 5. **Volume Multiplier (volume_multiplier): - Sets the volume threshold for breakout validation. - *Effect*: A higher multiplier (e.g., 1.0) ensures stronger volume confirmation but may reduce the number of signals. 6. **RSI Length (rsi_length): - Defines the period for RSI calculation. - *Effect*: A shorter RSI length (e.g., 10) makes the indicator more sensitive to recent price changes, while a longer length (e.g., 20) smooths out RSI fluctuations. 7. *RSI Overbought/Oversold Levels*: - Sets the thresholds for overbought (default: 70) and oversold (default: 30) conditions. - *Effect*: Adjusting these levels can make the indicator more or less conservative in generating signals. 8. **Stop Loss Multiplier (SL_Multiplier): - Determines the distance of the stop-loss level from the entry price based on ATR. - *Effect*: A higher multiplier (e.g., 2.0) provides wider stops, reducing the risk of being stopped out prematurely but increasing potential losses. --- ### How It Works: 1. *Breakout Detection*: - A bullish breakout occurs when the close exceeds the highest high of the lookback period, with volume above the threshold and breakout size exceeding ATR × multiplier. - A bearish breakout occurs when the close falls below the lowest low of the lookback period, with similar volume and ATR validation. 2. *Retest Logic*: - After a breakout, if price retests the breakout zone without closing beyond it, a retest label is displayed. 3. *Fakeout Detection*: - If price briefly breaks out but reverses back into the range, a fakeout label is displayed. 4. *Buy/Sell Signals*: - A sell signal is generated when price reverses below a bullish breakout zone and RSI is overbought. - A buy signal is generated when price reverses above a bearish breakout zone and RSI is oversold. 5. *Stop Levels*: - Stop-loss levels are plotted based on ATR × SL_Multiplier, providing a visual guide for risk management. --- ### Who Can Use It and How: 1. *Swing Traders*: - Use the indicator on daily or 4-hour timeframes to identify high-probability breakout trades. - Combine with other technical analysis tools (e.g., trendlines, Fibonacci levels) for confirmation. 2. *Positional Traders*: - Apply the indicator on weekly or daily charts to capture long-term trends. - Use the stop-loss levels to manage risk over extended periods. 3. *Algorithmic Traders*: - Integrate the buy/sell signals into automated trading systems. - Use the alert conditions to trigger trades programmatically. 4. *Risk-Averse Traders*: - Adjust the ATR and volume multipliers to filter out low-probability trades. - Use wider stop-loss levels to avoid premature exits. --- ### Where to Use It: - *Forex*: Identify breakouts in major currency pairs. - *Stocks*: Spot trend reversals in high-volume stocks. - *Commodities*: Trade breakouts in gold, oil, or other commodities. - *Crypto*: Apply to Bitcoin, Ethereum, or other cryptocurrencies for volatile breakout opportunities. --- ### Example Use Case: - *Timeframe*: 1D - *Lookback Period*: 50 - *ATR Length*: 14 - *ATR Multiplier*: 0.1 - *Volume Multiplier*: 0.5 - *RSI Length*: 14 - *RSI Overbought/Oversold*: 70/30 - *SL Multiplier*: 1.5 In this setup, the indicator will: 1. Identify significant swing highs and lows on the daily chart. 2. Validate breakouts with volume and ATR filters. 3. Generate buy/sell signals when price reverses and RSI confirms overbought/oversold conditions. 4. Plot stop-loss levels for risk management. --- ### Conclusion: The *MSB+VolATR* indicator is a versatile tool for traders seeking to capitalize on market structure breakouts with added confirmation from volume and volatility. By customizing the input settings, traders can adapt the indicator to their preferred trading style and risk tolerance. Whether you're a swing trader, positional trader, or algorithmic trader, this indicator provides actionable insights to enhance your trading strategy.
Penunjuk Pine Script®
oleh doganayy2
ICT Gold Trading ToolFirst, I recall the original code had elements like Break of Structure, Fair Value Gaps, Premium/Discount Zones, Liquidity Pools, and Buy/Sell signals. The user had previous feedback pointing out issues in the code, like incorrect timeframe usage for BOS and FVG inaccuracies. They also suggested improvements, which were incorporated into a revised version. So, the brief note should highlight the main components of the tool without getting too technical. The user probably wants this for a quick overview, maybe to share with others or for their own reference. They might be a trader familiar with ICT concepts, so using terms like BOS or FVG is okay without explaining each one. I need to mention that the tool combines multiple ICT strategies into one indicator. It uses higher timeframes for BOS, which is important for structure. FVG detection was corrected in the revised code, so I should note that it identifies 3-candle patterns. The zones and liquidity pools help in identifying market extremes and areas where price might reverse. The buy/sell signals are based on a combination of BOS and zones, which adds confluence. Also, the user might appreciate knowing that the tool is customizable with inputs for periods, making it adaptable to different trading styles. Emphasizing that it's for visual assistance and not standalone signals is crucial to remind users to use additional analysis.
Penunjuk Pine Script®
oleh tyaa1864
Uptrick: Acceleration ShiftsIntroduction Uptrick: Acceleration Shifts is designed to measure and visualize price momentum shifts by focusing on acceleration —the rate of change in velocity over time. It uses various moving average techniques as a trend filter, providing traders with a clearer perspective on market direction and potential trade entries or exits. Purpose The main goal of this indicator is to spot strong momentum changes (accelerations) and confirm them with a chosen trend filter. It attempts to distinguish genuine market moves from noise, helping traders make more informed decisions. The script can also trigger multiple entries (smart pyramiding) within the same trend, if desired. Overview By measuring how quickly price velocity changes (acceleration) and comparing it against a smoothed average of itself, this script generates buy or sell signals once the acceleration surpasses a given threshold. A trend filter is added for further validation. Users can choose from multiple smoothing methods and color schemes, and they can optionally enable a small table that displays real-time acceleration values. Originality and Uniqueness This script offers an acceleration-based approach, backed by several different moving average choices. The blend of acceleration thresholds, a trend filter, and an optional extra-entry (pyramiding) feature provides a flexible toolkit for various trading styles. The inclusion of multiple color themes and a slope-based coloring of the trend line adds clarity and user customization. Inputs & Features 1. Acceleration Length (length) This input determines the number of bars used when calculating velocity. Specifically, the script computes velocity by taking the difference in closing prices over length bars, and then calculates acceleration based on how that velocity changes over an additional length. The default is 14. 2. Trend Filter Length (smoothing) This sets the lookback period for the chosen trend filter method. The default of 50 results in a moderately smooth trend line. A higher smoothing value will create a slower-moving trend filter. 3. Acceleration Threshold (threshold) This multiplier determines when acceleration is considered strong enough to trigger a main buy or sell signal. A default value of 2.5 means the current acceleration must exceed 2.5 times the average acceleration before signaling. 4. Smart Pyramiding Strength (pyramidingThreshold) This lower threshold is used for additional (pyramiding) entries once the main trend has already been identified. For instance, if set to 0.5, the script looks for acceleration crossing ±0.5 times its average acceleration to add extra positions. 5. Max Pyramiding Entries (maxPyramidingEntries) This sets a limit on how many extra positions can be opened (beyond the first main signal) in a single directional trend. The default of 3 ensures traders do not become overexposed. 6. Show Acceleration Table (showTable) When enabled, a small table displaying the current acceleration and its average is added to the top-right corner of the chart. This table helps monitor real-time momentum changes. 7. Smart Pyramiding (enablePyramiding) This toggle decides whether additional entries (buy or sell) will be generated once a main signal is active. If enabled, these extra signals act as filtered entries, only firing when acceleration re-crosses a smaller threshold (pyramidingThreshold). These signals have a '+' next to their signal on the label. 8. Select Color Scheme (selectedColorScheme) Allows choosing between various pre-coded color themes, such as Default, Emerald, Sapphire, Golden Blaze, Mystic, Monochrome, Pastel, Vibrant, Earth, or Neon. Each theme applies a distinct pair of colors for bullish and bearish conditions. 9. Trend Filter (TrendFilter) Lets the user pick one of several moving average approaches to determine the prevailing trend. The options include: Short Term (TEMA) EWMA Medium Term (HMA) Classic (SMA) Quick Reaction (DEMA) Each method behaves differently, balancing reactivity and smoothness. 10. Slope Lookback (slopeOffset) Used to measure the slope of the trend filter over a set number of bars (default is 10). This slope then influences the coloring of the trend filter line, indicating bullish or bearish tilt. Note: The script refers to this as the "Massive Slope Index," but it effectively serves as a Trend Slope Calculation, measuring how the chosen trend filter changes over a specified period. 11. Alerts for Buy/Sell and Pyramiding Signals The script includes built-in alert conditions that can be enabled or configured. These alerts trigger whenever the script detects a main Buy or Sell signal, as well as extra (pyramiding) signals if Smart Pyramiding is active. This feature allows traders to receive immediate notifications or automate a trading response. Calculation Methodology 1. Velocity and Acceleration Velocity is derived by subtracting the closing price from its value length bars ago. Acceleration is the difference in velocity over an additional length period. This highlights how quickly momentum is shifting. 2. Average Acceleration The script smooths raw acceleration with a simple moving average (SMA) using the smoothing input. Comparing current acceleration against this average provides a threshold-based signal mechanism. 3. Trend Filter Users can pick one of five moving average types to form a trend baseline. These range from quick-reacting methods (DEMA, TEMA) to smoother options (SMA, HMA, EWMA). The script checks whether the price is above or below this filter to confirm trend direction. 4. Buy/Sell Logic A buy occurs when acceleration surpasses avgAcceleration * threshold and price closes above the trend filter. A sell occurs under the opposite conditions. An additional overbought/oversold check (based on a longer SMA) refines these signals further. When price is considered oversold (i.e., close is below a longer-term SMA), a bullish acceleration signal has a higher likelihood of success because it indicates that the market is attempting to reverse from a lower price region. Conversely, when price is considered overbought (close is above this longer-term SMA), a bearish acceleration signal is more likely to be valid. This helps reduce false signals by waiting until the market is extended enough that a reversal or continuation has a stronger chance of following through. 5. Smart Pyramiding Once a main buy or sell signal is triggered, additional (filtered) entries can be taken if acceleration crosses a smaller multiplier (pyramidingThreshold). This helps traders scale into strong moves. The script enforces a cap (maxPyramidingEntries) to limit risk. 6. Visual Elements Candles can be recolored based on the active signal. Labels appear on the chart whenever a main or pyramiding entry signal is triggered. An optional table can show real-time acceleration values. Color Schemes The script includes a variety of predefined color themes. For bullish conditions, it might use turquoise or green, and for bearish conditions, magenta or red—depending on which color scheme the user selects. Each scheme aims to provide clear visual differentiation between bullish and bearish market states. Why Each Indicator Was Part of This Component Acceleration is employed to detect swift changes in momentum, capturing shifts that may not yet appear in more traditional measures. To further adapt to different trading styles and market conditions, several moving average methods are incorporated: • TEMA (Triple Exponential Moving Average) is chosen for its ability to reduce lag more effectively than a standard EMA while still reacting swiftly to price changes. Its construction layers exponential smoothing in a way that can highlight sudden momentum shifts without sacrificing too much smoothness. • DEMA (Double Exponential Moving Average) provides a faster response than a single EMA by using two layers of exponential smoothing. It is slightly less smoothed than TEMA but can alert traders to momentum changes earlier, though with a higher risk of noise in choppier markets. • HMA (Hull Moving Average) is known for its balance of smoothness and reduced lag. Its weighted calculations help track trend direction clearly, making it useful for traders who want a smoother line that still reacts fairly quickly. • SMA (Simple Moving Average) is the classic baseline for smoothing price data. It offers a clear, stable perspective on long-term trends, though it reacts more slowly than other methods. Its simplicity can be beneficial in lower-volatility or more stable market environments. • EWMA (Exponentially Weighted Moving Average) provides a middle ground by emphasizing recent price data while still retaining some degree of smoothing. It typically responds faster than an SMA but is less aggressive than DEMA or TEMA. Alongside these moving average techniques, the script employs a slope calculation (referred to as the “Massive Slope Index”) to visually indicate whether the chosen filter is sloping upward or downward. This adds an extra layer of clarity to directional analysis. The indicator also uses overbought/oversold checks, based on a longer-term SMA, to help filter out signals in overstretched markets—reducing the likelihood of false entries in conditions where the price is already extensively extended. Additional Features Alerts can be set up for both main signals and additional pyramiding signals, which is helpful for automated or semi-automated trading. The optional acceleration table offers quick reference values, making momentum monitoring more intuitive. Including explicit alert conditions for Buy/Sell and Pyramiding ensures traders can respond promptly to market movements or integrate these triggers into automated strategies. Summary This script serves as a comprehensive momentum-based trading framework, leveraging acceleration metrics and multiple moving average filters to identify potential shifts in market direction. By combining overbought/oversold checks with threshold-based triggers, it aims to reduce the noise that commonly plagues purely reactive indicators. The flexibility of Smart Pyramiding, customizable color schemes, and built-in alerts allows users to tailor their experience and respond swiftly to valid signals, potentially enhancing trading decisions across various market conditions. Disclaimer All trading involves significant risk, and users should apply their own judgment, risk management, and broader analysis before making investment decisions.
Penunjuk Pine Script®
oleh Uptrick
6
Uptrick: Time Based ReversionIntroduction The Uptrick: Time Based Reversion indicator is designed to provide a comprehensive view of market momentum and potential trend shifts by combining multiple moving averages, a streak-based trend analysis system, and adaptive color visualization. It helps traders identify strong trends, spot potential reversals, and make more informed trading decisions. Purpose The primary goal of this indicator is to assist traders in distinguishing between sustained market movements and short-lived fluctuations. By evaluating how price behaves relative to its moving averages, and by measuring consecutive streaks above or below these averages, the indicator highlights areas where trends are likely to continue or lose momentum. Overview Uptrick: Time Based Reversion calculates one or more moving averages of price data and then tracks the number of consecutive bars (streaks) above or below these averages. This streak-based detection provides insight into whether a trend is gaining strength or nearing a potential reversal point. The indicator offers: • Multiple moving average types (SMA, EMA, WMA) • Optional second and third moving average layers for additional smoothing of first moving average • A streak detection system to quantify trend intensity • A dynamic color scheme that changes with streak strength • Optional buy and sell signals for potential trade entries and exits • A ribbon mode that applies moving averages to Open, High, Low, and Close prices for a more detailed visualization of overall trend alignment Originality and Uniqueness Unlike traditional moving average indicators, Uptrick: Time Based Reversion incorporates a streak measurement system to detect trend strength. This approach helps clarify whether a price movement is merely a quick fluctuation or part of a longer-lasting trend. Additionally, the optional ribbon mode extends this logic to Open, High, Low, and Close prices, creating a layered and intuitive visualization that shows complete trend alignment. Inputs and Features 1. Enable Ribbon Mode This input lets you activate or deactivate the ribbon display of multiple moving averages. When enabled, the script plots moving averages for the Open, High, Low, and Close prices and uses color fills to show whether these four data points are collectively above or below their respective moving averages. 2. Color Scheme Selection Users can choose from several predefined color schemes, such as Default, Emerald, Crimson, Sapphire, Gold, Purple, Teal, Orange, Gray, Lime, or Aqua. Each scheme assigns distinct bullish, bearish and neutral colors.. 3. Show Buy/Sell Signals The indicator can display buy or sell signals based on its streak analysis logic. These signals appear as markers on the chart, indicating a “Safe Uptrend” (buy) or “Safe Downtrend” (sell). 4. Moving Average Types and Lengths • First MA Type and Length: Choose SMA, EMA, or WMA along with a customizable period. • Second and Third MA Types and Lengths: You can optionally stack additional moving averages for further smoothing, each with its own customizable type and period. 5. Streak Threshold Multiplier This numeric input determines how strong a streak must be before the script considers it a “safe” trend. A higher multiplier requires a longer or more intense streak for a buy or sell signal. 6. Dynamic Transparency Calculation The color intensity adapts to the streak’s strength. Longer streaks increase the transparency of the opposing color, making the current dominant color stand out. This feature ensures that a vigorous uptrend or downtrend is visually distinct from short-lived or weaker moves. 7. Ribbon Moving Averages In ribbon mode, the script calculates moving averages for the Open, High, Low, and Close prices. Each of these is optionally smoothed again if the second and/or third moving average layers are active. The final result is a ribbon of moving averages that helps confirm whether the market is uniformly aligned above or below these key reference points. Calculation Methodology 1. Initial Moving Average The script calculates the first moving average (SMA, EMA, or WMA) of the closing price over a user-defined period. 2. Optional Secondary and Tertiary Averages If selected, the script then applies a second and/or third smoothing step. Each of these steps can be a different type of moving average (SMA, EMA, or WMA) with its own period length. 3. Streak Detection The indicator counts consecutive bars above or below the smoothed moving average. A running total (streakUp or streakDown) increments with every bar that remains above or below that average. 4. Reversion Intensity The script compares the current streak value to its own average (calculated over the final chosen period). This ratio determines whether the streak is nearing a likely reversion or is strong enough to continue. 5. Color Assignment and Signals The indicator calculates color transparency based on streak intensity. Buy and sell signals appear when the streak meets or exceeds the threshold multiplier, indicating a safe uptrend or downtrend. Color Schemes and Visualization This indicator offers multiple predefined color sets. Each scheme specifies a unique bullish color, bearish color and neutral color. The script automatically varies transparency to highlight strong trends and fade weaker ones, making it visually clear when a trend is intensifying or losing momentum. Smoothing Techniques By allowing up to three layers of moving average smoothing, the indicator accommodates different trading styles. A single layer provides faster reactions to market changes, while more layers reduce noise at the cost of slower responsiveness. Traders can choose the right balance between responsiveness and stability for their strategy, whether it is short-term scalping or long-term trend following. Why It Combines Specific Smoothing Techniques The Uptrick: Time Based Reversion indicator strategically combines specific smoothing techniques—SMA, EMA, and WMA—to leverage their complementary strengths. The SMA provides stable and consistent trend identification by equally weighting all data points, while the EMA emphasizes recent price movements, allowing quicker responses to market changes. WMA enhances sensitivity to recent price shifts, which helps in detecting subtle momentum changes early. By integrating these methods in layers, the indicator effectively balances responsiveness with stability, helping traders clearly identify genuine trend changes while filtering out short-term noise and false signals. Ribbon Mode If Open, High, Low, and Close prices remain above or below their respective moving averages consistently, the script colors the bars fully bullish or bearish. When the data points are mixed, a neutral color is applied. This mode provides a thorough perspective on whether the entire price range is aligned in one direction or showing conflicting signals. Summary Uptrick: Time Based Reversion combines multiple moving averages, streak detection, and dynamic color adjustments to help traders identify significant trends and potential reversal areas. Its flexibility allows it to be used either in a simpler form, with one moving average and streak analysis, or in a more advanced configuration with ribbon mode that charts multiple smoothed averages for a deeper understanding of price alignment. By adapting color intensities based on streak strength and providing optional buy/sell signals, this indicator delivers a clear and flexible tool suited to various trading strategies. Disclaimer This indicator is designed as an analysis aid and does not guarantee profitable trades. Past performance does not indicate future success, and market conditions can change unexpectedly. Users are advised to employ proper risk management and thoroughly evaluate trades before taking positions. Use this indicator as part of a broader strategy, not as a sole decision-making tool.
Penunjuk Pine Script®
oleh Uptrick
4
Machine Learning + Geometric Moving Average 250/500Indicator Description - Machine Learning + Geometric Moving Average 250/500 This indicator combines password-protected market analysis levels with two powerful Geometric Moving Averages (GMA 250 & GMA 500). 🔒 Password-Protected Custom Levels Access pre-defined long and short price levels for select assets (crypto, stocks, and more) by entering the correct password in the indicator settings. Once the correct password is entered, the indicator automatically displays: Green horizontal lines for long entry zones. Red horizontal lines for short entry zones. If the password is incorrect, a warning label will appear on the chart. 📈 Geometric Moving Averages (GMA) This indicator calculates GMA 250 and GMA 500, two long-term trend-following tools. Unlike traditional moving averages, GMAs use logarithmic smoothing to better handle exponential price growth, making them especially useful for assets with strong trends (e.g., crypto and tech stocks). GMA 250 (white line) tracks the medium-term trend. GMA 500 (gold line) tracks the long-term trend. ⚙️ Customizable & Flexible Works on multiple assets, including cryptocurrencies, equities, and more. Adaptable to different timeframes and trading styles — ideal for both swing traders and long-term investors. This indicator is ideal for traders who want to blend custom support/resistance levels with advanced geometric trend analysis to better navigate both volatile and trending markets.
Penunjuk Pine Script®
oleh Jonlabriola
1
TEMA OBOS Strategy PakunTEMA OBOS Strategy Overview This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering. By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision. This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts). Strategy Objectives Identify trend direction using TEMA Use OBOS to filter out overbought/oversold conditions Implement ATR-based dynamic risk management Key Features 1. Trend Analysis Using TEMA Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries. ema4 acts as the primary trend filter. 2. Overbought/Oversold (OBOS) Filtering Long Entry Condition: up > down (bullish trend confirmed) Short Entry Condition: up < down (bearish trend confirmed) Reduces unnecessary trades by filtering extreme market conditions. 3. ATR-Based Take Profit (TP) & Stop Loss (SL) Adjustable ATR multiplier for TP/SL Default settings: TP = ATR × 5 SL = ATR × 2 Fully customizable risk parameters. 4. Customizable Parameters TEMA Length (for trend calculation) OBOS Length (for overbought/oversold detection) Take Profit Multiplier Stop Loss Multiplier EMA Display (Enable/Disable TEMA lines) Bar Color Change (Enable/Disable candle coloring) Trading Rules Long Entry (Buy Entry) ema3 crosses above ema4 (Golden Cross) OBOS indicator confirms up > down (bullish trend) Execute a buy position Short Entry (Sell Entry) ema3 crosses below ema4 (Death Cross) OBOS indicator confirms up < down (bearish trend) Execute a sell position Take Profit (TP) Entry Price + (ATR × TP Multiplier) (Default: 5) Stop Loss (SL) Entry Price - (ATR × SL Multiplier) (Default: 2) TP/SL settings are fully customizable to fine-tune risk management. Risk Management Parameters This strategy emphasizes proper position sizing and risk control to balance risk and return. Trading Parameters & Considerations Initial Account Balance: $7,000 (adjustable) Base Currency: USD Order Size: 10,000 USD Pyramiding: 1 Trading Fees: $0.94 per trade Long Position Margin: 50% Short Position Margin: 50% Total Trades (M5 Timeframe): 128 Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M Total P&L：+1638.20USD Max equity drawdown：694.78USD Total trades：128 Profitable trades:44.53 Profit factor:1.45 These settings aim to protect capital while maintaining a balanced risk-reward approach. Visual Support TEMA Lines (Three EMAs) Trend direction is indicated by color changes (Blue/Orange) ema3 (short-term) and ema4 (long-term) crossover signals potential entries OBOS Histogram Green → Strong buying pressure Red → Strong selling pressure Blue → Possible trend reversal Entry & Exit Markers Blue Arrow → Long Entry Signal Red Arrow → Short Entry Signal Take Profit / Stop Loss levels displayed Strategy Improvements & Uniqueness This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management. Enhanced Trend Identification with TEMA Detects early trend reversals using ema3 & ema4 crossover Reduces market noise for a smoother trend-following approach Improved OBOS Filtering Prevents excessive trading Reduces unnecessary risk exposure Dynamic Risk Management with ATR-Based TP/SL Not a fixed value → TP/SL adjusts to market volatility Fully customizable ATR multiplier settings (Default: TP = ATR × 5, SL = ATR × 2) Summary The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators. TEMA for trend identification OBOS for noise reduction & overbought/oversold filtering ATR-based TP/SL settings for dynamic risk management Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
Strategi Pine Script®
oleh PakunFX
US Yield Curve (2-10yr)US Yield Curve (2-10yr) by oonoon 2-10Y US Yield Curve and Investment Strategies The 2-10 year US Treasury yield spread measures the difference between the 10-year and 2-year Treasury yields. It is a key indicator of economic conditions. Inversion (Spread < 0%): When the 2-year yield exceeds the 10-year yield, it signals a potential recession. Investors may shift to long-term bonds (TLT, ZROZ), gold (GLD), or defensive stocks. Steepening (Spread widening): A rising 10-year yield relative to the 2-year suggests economic expansion. Investors can benefit by shorting bonds (TBT) or investing in financial stocks (XLF). The Amundi US Curve Steepening 2-10Y ETF can be used to profit from this trend. Monitoring the curve: Traders can track US10Y-US02Y on TradingView for real-time insights and adjust portfolios accordingly.
Penunjuk Pine Script®
oleh Trader_oonoon
Custom Buy and Sell Signal with Body Ratio and RSI Indicator Overview: Name: Custom Buy and Sell Signal with Body Ratio and RSI Description: This indicator is designed to detect buy and sell opportunities by analyzing the body size and wicks of candles in combination with the RSI indicator and volume. It helps identify trend reversals under high-volume market conditions, which enhances the reliability of the signals. Indicator Features: RSI (Relative Strength Index): The RSI indicator is used to assess oversold (RSI < 40) or overbought (RSI > 60) conditions. These zones signal potential reversals when combined with other technical signals. Candle Body Analysis: The indicator compares the size of the current and previous candles to validate signals. For a buy signal, the current candle must be bullish and have a body size proportional to that of the previous bearish candle. Similarly, for a sell signal, the current candle must be bearish with a body size comparable to the previous bullish candle. Wick Validation: The indicator analyzes the wick length to reinforce or exclude signals. For a buy signal, the lower wick of the bullish candle must be shorter than that of the previous bearish candle. For a sell signal, the upper wick of the bearish candle must be shorter than that of the previous bullish candle and smaller than 30% of the candle's body. High Volume: Signals are only generated when the volume exceeds a certain threshold, ensuring that signals are issued in active market conditions. The minimum volume should be adjusted based on the asset. For example, for gold, a minimum volume of 9000 is recommended. Trading Strategy: Buy Signals: A bearish (red) candle is followed by a bullish (green) candle with a body size that is comparable to the previous candle (0.9 to 3 times the body size). The lower wick of the bullish candle is shorter than that of the previous bearish candle, confirming the validity of the signal. The RSI must be below 40, indicating an oversold condition. The volume must exceed the defined threshold (e.g., > 9000 for gold) to confirm an active market. Sell Signals: A bullish (green) candle is followed by a bearish (red) candle with a comparable body size. The upper wick of the bearish candle must be shorter than that of the previous bullish candle and must not exceed 30% of the body size. The RSI must be above 60, indicating an overbought condition. The volume must also exceed the minimum threshold for a valid signal. Usage Guidelines: Volume Adjustment: It is crucial to adjust the volume threshold depending on the asset you're trading. For example, for assets like gold, a minimum volume of 9000 is recommended to filter out weak signals. Each asset has a different volume dynamic, so test different thresholds on historical data to find the optimal setting. Time Frame: It is recommended to use this indicator on a 1-hour (1H) chart for the best signal relevance. This time frame provides a good balance between reactivity and filtering false signals. Confluence: Combine the signals from this indicator with other tools like support and resistance levels, moving averages, or chart patterns to increase your chances of success. Confluence of indicators improves the reliability of signals. Risk Management: Implement strict risk management. Use stop-losses based on volatility, such as ATR (Average True Range), or the wick size to determine exit points. Backtesting: Before using it live, conduct backtesting on various assets to fine-tune the parameters, especially the volume threshold, and to verify performance across different market conditions. This indicator is an excellent tool for traders looking to identify trend reversals based on solid technical criteria such as RSI, candle structure, and volume. It is particularly effective on volatile assets with precise volume adjustment.
Penunjuk Pine Script®
oleh imane-academy
Shavarie's MCV IndicatorShavarie's MCV Indicator (MACD + CCI + Volume Delta) is a custom-built trend-following and volume-based indicator that helps traders confirm market direction with high accuracy. It combines the MACD (Moving Average Convergence Divergence), CCI (Commodity Channel Index), and Volume Delta, ensuring that all three indicators align before making a trading decision. The goal is to filter out false signals and provide high-probability trade setups. History & Development Shavarie's MCV Indicator was developed by Shavarie Gordon, an experienced swing trader, to improve trend confirmation on Gold (XAUUSD) and other markets. After testing various indicators, Shavarie discovered that MACD, CCI, and Volume Delta together provide the best combination of trend strength, momentum, and real-time volume flow. This indicator was designed to eliminate lagging signals, improve win rates, and enhance market timing for both swing and scalping strategies. How It Works & Calculations MACD (Moving Average Convergence Divergence) Measures momentum and trend strength using the difference between a 12-period EMA and a 26-period EMA. The MACD line and Signal line crossover confirms buy/sell signals. A rising MACD histogram confirms bullish strength, while a falling histogram confirms bearish strength. CCI (Commodity Channel Index) Measures how far the price is from its statistical average. Above +100 → Overbought (strong trend continuation or reversal). Below -100 → Oversold (strong trend continuation or reversal). When CCI aligns with MACD, it confirms momentum strength. Volume Delta Measures the difference between buying and selling volume in real time. A positive delta means more aggressive buying (bullish). A negative delta means more aggressive selling (bearish). Helps confirm MACD and CCI trends by showing real volume strength. Key Takeaways & Features ✅ No false signals: All three indicators must align before entering a trade. ✅ Trend confirmation: Ensures momentum and volume agree before trading. ✅ Works on multiple timeframes: Designed for swing trading on the daily and scalping on 45 min + 5 min. ✅ Great for Gold & Metals: Optimized for XAUUSD, XAUJPY, XAU/AUD, and possibly Palladium (XPDUSD). ✅ Custom-built by a professional trader: Developed by Shavarie Gordon after extensive testing. Summary Shavarie’s MCV Indicator is a powerful and reliable trading tool that combines momentum, trend, and volume analysis. By ensuring that MACD, CCI, and Volume Delta align, it eliminates false signals and increases trade accuracy. Whether used for swing trading or scalping, this indicator helps traders enter high-probability trades with confidence.
Penunjuk Pine Script®
oleh shavarieg
Aggressive Strategy for High IV Market### Strategic background In a volatile high IV market, prices are volatile and market expectations of future uncertainty are high. This environment provides opportunities for aggressive trading strategies, but also comes with a high level of risk. In pursuit of a high Sharpe ratio (i.e., risk-adjusted return), we need to design a strategy that captures the benefits of market volatility while effectively controlling risk. Based on daily line cycles, I choose a combination of trend tracking and volatility filtering for highly volatile assets such as stocks, futures or cryptocurrencies. --- ### Strategy framework #### Data - Use daily data, including opening, closing, high and low prices. - Suitable for highly volatile markets such as technology stocks, cryptocurrencies or volatile index futures. #### Core indicators 1. ** Trend Indicators ** : Fast Exponential Moving Average (EMA_fast) : 10-day EMA, used to capture short-term trends. - Slow Exponential Moving Average (EMA_slow) : 30-day EMA, used to determine the long-term trend. 2. ** Volatility Indicators ** : Average true Volatility (ATR) : 14-day ATR, used to measure market volatility. - ATR mean (ATR_mean) : A simple moving average of the 20-day ATR that serves as a volatility benchmark. - ATR standard deviation (ATR_std) : The standard deviation of the 20-day ATR, which is used to judge extreme changes in volatility. #### Trading logic The strategy is based on a trend following approach of double moving averages and filters volatility through ATR indicators, ensuring that trading only in a high-volatility environment is in line with aggressive and high sharpe ratio goals. --- ### Entry and exit conditions #### Admission conditions - ** Multiple entry ** : - EMA_fast Crosses EMA_slow (gold cross), indicating that the short-term trend is turning upward. -ATR > ATR_mean + 1 * ATR_std indicates that the current volatility is above average and the market is in a state of high volatility. - ** Short Entry ** : - EMA_fast Crosses EMA_slow (dead cross) downward, indicating that the short-term trend turns downward. -ATR > ATR_mean + 1 * ATR_std, confirming high volatility. #### Appearance conditions - ** Long show ** : - EMA_fast Enters the EMA_slow (dead cross) downward, and the trend reverses. - or ATR < ATR_mean-1 * ATR_std, volatility decreases significantly and the market calms down. - ** Bear out ** : - EMA_fast Crosses the EMA_slow (gold cross) on the top, and the trend reverses. - or ATR < ATR_mean-1 * ATR_std, the volatility is reduced. --- ### Risk management To control the high risk associated with aggressive strategies, set up the following mechanisms: 1. ** Stop loss ** : - Long: Entry price - 2 * ATR. - Short: Entry price + 2 * ATR. - Dynamic stop loss based on ATR can adapt to market volatility changes. 2. ** Stop profit ** : - Fixed profit target can be selected (e.g. entry price ± 4 * ATR). - Or use trailing stop losses to lock in profits following price movements. 3. ** Location Management ** : - Reduce positions appropriately in times of high volatility, such as dynamically adjusting position size according to ATR, ensuring that the risk of a single trade does not exceed 1%-2% of the account capital. --- ### Strategy features - ** Aggressiveness ** : By trading only in a high ATR environment, the strategy takes full advantage of market volatility and pursues greater returns. - ** High Sharpe ratio potential ** : Trend tracking combined with volatility filtering to avoid ineffective trades during periods of low volatility and improve the ratio of return to risk. - ** Daily line Cycle ** : Based on daily line data, suitable for traders who operate frequently but are not too complex. --- ### Implementation steps 1. ** Data Preparation ** : - Get the daily data of the target asset. - Calculate EMA_fast (10 days), EMA_slow (30 days), ATR (14 days), ATR_mean (20 days), and ATR_std (20 days). 2. ** Signal generation ** : - Check EMA cross signals and ATR conditions daily to generate long/short signals. 3. ** Execute trades ** : - Enter according to the signal, set stop loss and profit. - Monitor exit conditions and close positions in time. 4. ** Backtest and Optimization ** : - Use historical data to backtest strategies to evaluate Sharpe ratios, maximum retracements, and win rates. - Optimize parameters such as EMA period and ATR threshold to improve policy performance. --- ### Precautions - ** Trading costs ** : Highly volatile markets may result in frequent trading, and the impact of fees and slippage on earnings needs to be considered. - ** Risk Control ** : Aggressive strategies may face large retracements and need to strictly implement stop losses. - ** Scalability ** : Additional metrics (such as volume or VIX) can be added to enhance strategy robustness, or combined with machine learning to predict trends and volatility. --- ### Summary This is a trend following strategy based on dual moving averages and ATR, designed for volatile high IV markets. By entering into high volatility and exiting into low volatility, the strategy combines aggressive and risk-adjusted returns for traders seeking a high sharpe ratio. It is recommended to fully backtest before implementation and adjust the parameters according to the specific market.
Strategi Pine Script®
oleh tirascobol
Uptrick: Alpha TrendIntroduction Uptrick: Alpha Trend is a comprehensive technical analysis indicator designed to provide traders with detailed insights into market trends, momentum, and risk metrics. It adapts to various trading styles—from quick scalps to longer-term positions—by dynamically adjusting its calculations and visual elements. By combining multiple smoothing techniques, advanced color schemes, and customizable data tables, the indicator offers a holistic view of market behavior. Originality The Alpha Trend indicator distinguishes itself by blending established technical concepts with innovative adaptations. It employs three different smoothing techniques tailored to specific trading modes (Scalp, Swing, and Position), and it dynamically adjusts its parameters to match the chosen mode. The indicator also offers a wide range of color palettes and multiple on-screen tables that display key metrics. This unique combination of features, along with its ability to adapt in real time, sets it apart as a versatile tool for both novice and experienced traders. Features 1. Multi-Mode Trend Line The indicator automatically selects a smoothing method based on the trading mode: - Scalp Mode uses the Hull Moving Average (HMA) for rapid responsiveness. - Swing Mode employs the Exponential Moving Average (EMA) for balanced reactivity. - Position Mode applies the Weighted Moving Average (WMA) for smoother, long-term trends. Each method is chosen to best capture the price action dynamics appropriate to the trader’s timeframe. 2. Adaptive Momentum Thresholds It tracks bullish and bearish momentum with counters that increment as the trend confirms directional movement. When these counters exceed a user-defined threshold, the indicator generates optional buy or sell signals. This approach helps filter out minor fluctuations and highlights significant market moves. 3. Gradient Fills Two types of fills enhance visual clarity: - Standard Gradient Fill displays ATR-based zones above and below the trend line, indicating potential bullish and bearish areas. - Fading Gradient Fill creates a smooth transition between the trend line and the price, visually emphasizing the distance between them. 4. Bar Coloring and Signal Markers The indicator can color-code bars based on market conditions—bullish, bearish, or neutral—allowing for immediate visual assessment. Additionally, signal markers such as buy and sell arrows are plotted when momentum thresholds are breached. 5. Comprehensive Data Tables Uptrick: Alpha Trend offers several optional tables for detailed analysis: - Insider Info: Displays key metrics like the current trend value, bullish/bearish momentum counts, and ATR. - Indicator Metrics: Lists input settings such as trend length, damping, signal threshold, and net momentum. - Market Analysis: Summarizes overall trend direction, trend strength, Sortino ratio, return, and volatility. - Price & Trend Dynamics: Details price deviation from the trend, trend slope, and ATR ratio. - Momentum & Volatility Insights: Presents RSI, standard deviation (volatility), and net momentum. - Performance & Acceleration Metrics: Focuses on the Sortino ratio, trend acceleration, return, and trend strength. Each table can be positioned flexibly on the chart, allowing traders to customize the layout according to their needs. Why It Combines Specific Smoothing Techniques Smoothing techniques are essential for filtering out market noise and revealing underlying trends. The indicator combines three smoothing methods for the following reasons: - The Hull Moving Average (HMA) in Scalp Mode minimizes lag and responds quickly to price changes, which is critical for short-term trading. - The Exponential Moving Average (EMA) in Swing Mode gives more weight to recent data, striking a balance between speed and smoothness. This makes it suitable for mid-term trend analysis. - The Weighted Moving Average (WMA) in Position Mode smooths out short-term fluctuations, offering a clear view of longer-term trends and reducing the impact of transient market volatility. By using these specific methods in their respective trading modes, the indicator ensures that the trend line is appropriately responsive for the intended time frame, enhancing decision-making while maintaining clarity. Inputs 1. Trend Length (Default: 30) Defines the lookback period for the smoothing calculation. A shorter trend length results in a more responsive line, while a longer length produces a smoother, less volatile trend. 2. Trend Damping (Default: 0.75) Controls the degree of smoothing applied to the trend line. Lower values lead to a smoother curve, whereas higher values increase sensitivity to price fluctuations. 3. Signal Strength Threshold (Default: 5) Specifies the number of consecutive bullish or bearish bars required to trigger a signal. Higher thresholds reduce the frequency of signals, focusing on stronger moves. 4. Enable Bar Coloring (Default: True) Toggles whether each price bar is colored to indicate bullish, bearish, or neutral conditions. 5. Enable Signals (Default: True) When enabled, this option plots buy or sell arrows on the chart once the momentum thresholds are met. 6. Enable Standard Gradient Fill (Default: False) Activates ATR-based gradient fills around the trend line to visualize potential support and resistance zones. 7. Enable Fading Gradient Fill (Default: True) Draws a gradual color transition between the trend line and the current price, emphasizing their divergence. 8. Trading Mode (Options: Scalp, Swing, Position) Determines which smoothing method and ATR period to use, adapting the indicator’s behavior to short-term, medium-term, or long-term trading. 9. Table Position Inputs Allows users to select from nine possible chart positions (top, middle, bottom; left, center, right) for each data table. 10. Show Table Booleans Separate toggles control the display of each table (Insider Info, Indicator Metrics, Market Analysis, and the three Deep Tables), enabling a customized view of the data. Color Schemes (Default) - The colors in the preview image of the indicator. (Emerald) (Sapphire) (Golden Blaze) (Mystic) (Monochrome) (Pastel) (Vibrant) (Earth) (Neon) Calculations 1. Trend Line Methods - Scalp Mode: Utilizes the Hull Moving Average (HMA), which computes two weighted moving averages (one at half the length and one at full length), subtracts them, and then applies a final weighted average based on the square root of the length. This method minimizes lag and increases responsiveness. - Swing Mode: Uses the Exponential Moving Average (EMA), which assigns greater weight to recent prices, thus balancing quick reaction with smoothness. - Position Mode: Applies the Weighted Moving Average (WMA) to focus on longer-term trends by emphasizing the entire lookback period and reducing the impact of short-term volatility. 2. Momentum Tracking The indicator maintains separate counters for bullish and bearish momentum. These counters increase as the trend confirms directional movement and reset when the trend reverses. When a counter exceeds the defined signal strength threshold, a corresponding signal (buy or sell) is triggered. 3. Volatility and ATR Zones The Average True Range (ATR) is calculated using a period that adapts to the selected trading mode (shorter for Scalp, longer for Position). The ATR value is then used to define upper and lower zones around the trend line, highlighting the current level of market volatility. 4. Return and Trend Acceleration - Return is calculated as the difference between the current and previous closing prices, providing a simple measure of price change. - Trend Acceleration is derived from the change in the trend line’s movement (its first derivative) compared to the previous bar. This metric indicates whether the trend is gaining or losing momentum. 5. Sortino Ratio and Standard Deviation - The Sortino Ratio measures risk-adjusted performance by comparing returns to downside volatility (only considering negative price changes). - Standard Deviation is computed over the lookback period to assess the extent of price fluctuations, offering insights into market stability. Usage This indicator is suitable for various time frames and market instruments. Traders can enable or disable specific visual elements such as gradient fills, bar coloring, and signal markers based on their preference. For a minimalist approach, one might choose to display only the primary trend line. For a deeper analysis, enabling multiple tables can provide extensive data on momentum, volatility, trend dynamics, and risk metrics. Important Note on Risk Trading involves inherent risk, and no indicator can eliminate the uncertainty of the markets. Past performance is not indicative of future results. It is essential to use proper risk management, test any new tool thoroughly, and consult multiple sources or professional advice before making trading decisions. Conclusion Uptrick: Alpha Trend unifies a diverse set of calculations, adaptive smoothing techniques, and customizable visual elements into one powerful tool. By combining the Hull, Exponential, and Weighted Moving Averages, the indicator is able to provide a trend line that is both responsive and smooth, depending on the trading mode. Its advanced color schemes, gradient fills, and detailed data tables deliver a comprehensive analysis of market trends, momentum, and risk. Whether you are a short-term trader or a long-term investor, this indicator aims to clarify price action and assist you in making more informed trading decisions.
Penunjuk Pine Script®
oleh Uptrick
6
Trending Market Toolkit [LuxAlgo]The Trending Market Toolkit focuses exclusively on trending market structures and high-confluence, high-risk-to-reward entry models. It is designed to complement discretionary trading by offering different entry strategies based on market structure. 🔶 USAGE In the chart above we can see how the tool detects several reversals, draws the broken trendlines, the reversal areas from which the tool starts looking for a trigger, and when it finally happens, a potential trade with risk and reward areas and the risk/reward ratio. 🔹 Detection Mode Traders can choose between three different modes: trend only, reversal only, or both. If both are active, reversals have priority over trends, so the tool will not detect a trend if a reversal is active. In the chart above we can see all three modes. 🔹 Detection on Higher Timeframes Traders can choose to identify structures on the chart timeframe or on a higher timeframe. In the chart above, we have the SP500 futures on the 5m timeframe with different settings: chart timeframe, 30m, and 1H. 🔹 Risk And Targets Depending on whether the high-risk/reward parameter is enabled, traders can choose between three different targets and two different stops. The chart above shows how different choices affect the risk/reward ratio for the same potential trade on the Gold Futures 2m chart. 🔶 SETTINGS Show: Traders can choose between Trends, Reversals or Both. 🔹 Structures Swing Length: Number of candles to confirm a swing high or swing low. A higher number detects larger swings. Custom Timeframe: Traders can make use of the current chart timeframe, or choose a custom timeframe. Reversal Area Threshold: A higher number increases the reversal area. 🔹 Trades Trade Trigger Length: Number of candles to confirm an internal high or internal low. A lower number detects smaller swings. It must be the same size or smaller than the swing length. Target: Traders can choose between the default target (0) or two extended targets (0.27 or 0.618). Risk to Reward Threshold: Set the minimum risk-to-reward ratio to detect trades. Use the 0 value to detect all trades. High Risk to Reward: Enable/Disable the high risk to reward mode.
Penunjuk Pine Script®
oleh LuxAlgo
13
Ultimate Gold Correlation Matrix (Extended)This is a correlation matrix to help you visually understand the relationship between stocks. This is the correlation of the amount of change. The color changes depending on the value of the correlation value. By making a node diagram of this relationship, what has been difficult to understand may become clearer. Good luck. 1. meaning of correlation coefficient Correlation Coefficient ranges from -1 to +1. Correlation Coefficient Value Interpretation +1.00 Perfect positive correlation (when one goes up, the other always goes up) +0.75 ~ +0.99 Strong positive correlation (fairly well linked) +0.50 ~ +0.74 Moderate positive correlation +0.30 ~ +0.49 Weak positive correlation -0.30 ~ +0.30 No correlation (no or weak relationship) -0.50 ~ -0.74 Moderate negative correlation -0.75 ~ -0.99 Strong negative correlation (when one goes up, the other goes down) -1.00 Perfect negative correlation (opposite moves) Translated with www.DeepL.com (free version)
Penunjuk Pine Script®
oleh Unjuno
Footprint IQ Pro [TradingIQ]Hello Traders! Introducing "Footprint IQ Pro"! Footprint IQ Pro is an all-in-one Footprint indicator with several unique features. Features Calculated delta at tick level Calculated delta ratio at tick level Calculated buy volume at tick level Calculated sell volume at tick level Imbalance detection Stacked imbalance detection Stacked imbalance alerts Value area and POC detection Highest +net delta levels detection Lowest -net delta levels detection CVD by tick levels Customizable values area percentage The image above thoroughly outlines what each metric in the delta boxes shows! Metrics In Delta Boxes "δ:", "\nδ%:", "\n⧎: ", "\n◭: ", "\n⧩: " δ Delta (Difference between buy and sell volume) δ% Delta Ratio (Delta as a percentage of total volume) ⧎ Total Volume At Level (Total volume at the price area) ◭ Total Buy Volume At Level (Total buy volume at the price area) ⧩ Total Sell Volume At Level (total sell volume at the price area) Each metric comes with a corresponding symbol. That said, until you become comfortable with the symbol, you can also turn on the descriptive labels setting! The image above exemplifies the feature. The image above shows Footprint IQ's full power! Additionally, traders with an upgraded TradingView plan can make use of the "1-Second" feature Footprint IQ offers! The image above shows each footprint generated using 1-second volume data. 1-second data is highly granular compared to 1-minute data and, consequently, each footprint is exceptionally more accurate! Imbalance Detection Footprint IQ pro is capable of detecting user-defined delta imbalances. The image above further explains how Footprint IQ detects imbalances! The imbalance percentage is customizable in the settings, and is set to 70% by default. Therefore, When net delta is positive, and the positive net delta constitutes >=70% of the total volume, a buying imbalance will be detected (upwards triangle). When net delta is negative, and the negative net delta constitutes >=70% of the total volume, a buying imbalance will be detected (downwards triangle). Stacked Imbalance Detection In addition to imbalance detection, Footprint IQ Pro can also detect stacked imbalances! The image above shows Footprint IQ Pro detecting stacked imbalances! Stacked imbalances occur when consecutive imbalances at sequential price areas occur. Stacked imbalances are generally interpreted as significant price moves that are supported by volume, rather than a significant result with disproportionate effort. The criteria for stacked imbalance detection (how many imbalances must occur at sequential price areas) is customizable in the settings. The default value is three. Therefore, when three imbalances occur at sequential price areas, golden triangles will begin to print to show a stacked imbalance. Additionally, traders can set alerts for when stacked imbalances occur! Highest +Delta and Highest -Delta Levels In addition to being a fully-fledged Footprint indicator, Footprint IQ Pro goes one step further by detecting price areas where the greater +Delta and -Delta are! The image above shows price behavior near highest +Delta price areas detected by Footprint IQ! These +Delta levels are considered important as there has been strong interest from buyers at these price areas when they are traded at. It's expected that these levels can function as support points that are supported by volume. The image above shows a similar function for resistance points! Blue lines = High +Delta Detected Price Areas Red lines = High -Delta Detected Price Areas Value Area Detection Similar to traditional volume profile, Footprint IQ Pro displays the value area per bar. Green lines next to each footprint show the value area for the bar. The value area % is customizable in the settings. CVD Levels Footprint IQ Pro is capable of storing historical volume delta information to provide CVD measurements at each price area! The image above exemplifies this feature! When this feature is enabled, you will see the CVD of each price area, rather than the net delta! And that's it! Thank you so much to TradingView for offering the greatest charting platform for everyone to create on! If you have any feature requests you'd like to see for Footprint IQ, please feel free to share them with us! Thank you!
Penunjuk Pine Script®
oleh Trading-IQ
33