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MacroHeat (Global Macro Growth Proxy)Overview: MacroHeat by CWRP is a proprietary macroeconomic sentiment indicator that tracks the temperature of global industrial and risk-linked activity using market-based signals. It distills asset movements from metals, foreign exchange, and energy markets into a single, smoothed composite value. This tool is designed to help portfolio managers, traders, and strategists gauge the direction and momentum of real economy growth expectations. MacroHeat does not predict policy or price action directly—it measures macro risk appetite and industrial growth expectations across three crucial asset pairs: Copper/Gold Ratio – Industrial Metals vs. Defensive Metal AUD/JPY Cross – Commodity-sensitive FX vs. Safe-haven FX Brent/NatGas Ratio – Oil Demand vs. Gas Oversupply These inputs are transformed into standardized z-scores to generate an intuitive composite signal of expansion, contraction, or neutrality in the global growth regime Interpretation: Copper / Gold Ratio Copper is widely used in construction, manufacturing, and infrastructure. It responds to real-world industrial activity. Gold is a traditional safe-haven asset, bid up in times of uncertainty or deflationary pressure. A rising Copper/Gold ratio implies higher industrial activity relative to defensive hedging, consistent with expansionary conditions. AUD / JPY AUD (Australian Dollar) is closely tied to the commodity cycle and heavily exposed to Chinese demand, especially for raw materials like iron ore and coal. JPY (Japanese Yen) is a low yielding, defensive currency that tends to strengthen during global stress due to Japan’s net external creditor position. A rising AUD/JPY indicates risk on sentiment and strength in Chinese or regional industrial demand. Falling values may signal risk aversion or cooling commodity linked activity. 📌 *Note: AUD is a proxy for China linked global demand. JPY reflects broader global risk sentiment, not the Japanese economy per se. Brent / NatGas Ratio Brent crude prices reflect global oil demand, typically linked to transportation, logistics, and industrial usage. Natural Gas, though also industrial, is often supply heavy and regionally priced. A high Brent/NatGas ratio can indicate tight oil supply or strong demand, relative to gas, suggesting higher economic activity. ------------------------------------------------------------------------------------------------------------ Each of the above components is converted into a Z-score using log returns over a 252-day rolling window. This standardizes movement and allows for cross-market comparison. The indicator then: Averages the Z-scores of the three components (>1 is expansive, <-1 is contractive) Smooths the result using a 5-day simple moving average Classifies the result into macroeconomic regimes And outputs to the table which has live component Z-scores with visual cues (yellow = expansionary; blue = contractionary). Thank you for using the Global Macro Growth Proxy by CWRP! I'm open to all critiques and discussion around macroeconomics and hope you find use in this model!
Pine Script® göstergesi
Aram0k tarafından
FOXEuropa 1This indicator provides automated buy and sell signals directly on the chart, including entry points, stop-loss (SL), and three take-profit levels (TP1, TP2, TP3). It is based on an advanced momentum and trend-following algorithm, analyzing price action to accurately identify trading opportunities. Suitable for both beginners and professionals, and can be used across all timeframes. Indicator Features: ✅ Automated buy and sell signals ✅ Clear entry and exit points ✅ Built-in momentum/wave indicators ✅ Supports intraday and swing trading
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FOXEURPA tarafından
1
FOXEuropaThis indicator provides automated buy and sell signals directly on the chart, including entry points, stop-loss (SL), and three take-profit levels (TP1, TP2, TP3). It is based on an advanced momentum and trend-following algorithm, analyzing price action to accurately identify trading opportunities. Suitable for both beginners and professionals, and can be used across all timeframes. Indicator Features: ✅ Automated buy and sell signals ✅ Clear entry and exit points ✅ Built-in momentum/wave indicators ✅ Supports intraday and swing trading
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FOXEURPA tarafından
1
The SamuraiOverview This strategy implements a session-based range breakout system specifically designed for GBP/JPY trading. The approach focuses on identifying key price ranges during specific market sessions and trading breakouts of these ranges during optimal trading windows. The strategy combines multi-timeframe analysis using 30-minute data with precise session timing to capture high-probability breakout moves. Entry Logic The strategy operates on a two-phase approach: Range Collection Phase: Monitors price action during a specified session window Identifies session high and low levels Only collects ranges on selected trading days Trading Phase: Long Entry: Price closes above the established session high Short Entry: Price closes below the established session low Entries only occur on valid trading days (day after range collection) One trade per direction per session to prevent overtrading Exit Conditions Stop Loss: Set at a percentage of the session range below entry (long) or above entry (short) Take Profit: Calculated using a Risk-Reward Ratio based on stop loss distance Session Close: All positions are closed at the end of the trading window Risk Management Features Fixed risk-reward ratio of for consistent risk management Stop loss calculated as percentage of session range for adaptive sizing Visual risk/reward boxes display potential outcomes before entry Daily session close protection prevents overnight exposure Visual Features Customizable Colors: Full control over line colors, styles, and box opacities Risk/Reward Visualization: Color-coded boxes showing potential profit and loss zones Take Profit Lines: TP level with different line styles for clarity Stop Loss Line: Clear visual indication of risk level Clean Interface: Streamlined settings focused on essential visual customization Important Notes Timeframe Dependency: Strategy uses 30-minute data regardless of chart timeframe for consistency Session Timing: All times are in UTC - ensure proper timezone conversion for your location Trading Days: Default setup trades Tuesday-Friday ranges (Monday-Thursday collection) Single Position: Only one position per direction per session to maintain discipline No Pyramiding: Strategy prevents position averaging to maintain clear risk parameters Suggested Use Recommended Pairs: Optimized for GBP/JPY but may work on other volatile pairs Best Timeframes: Display on any timeframe (strategy uses 30m data internally) Session Awareness: Most effective during high-volatility session transitions Risk Management: Consider position sizing based on account risk tolerance Market Conditions: Performs best in trending or breakout market environments Backtesting Considerations Strategy includes realistic entry/exit conditions based on closing prices Visual elements help understand historical performance context Built-in position management prevents unrealistic results Session-based logic ensures trades align with actual market sessions This strategy is designed for traders who prefer systematic, rule-based approaches to breakout trading with clear risk management parameters. The visual feedback helps in understanding market context and decision-making process. Disclaimer: Past performance does not guarantee future results. Always test thoroughly on historical data and consider your risk tolerance before live trading.
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monedafx1995 tarafından
BASE CountingBASE Formation Trend Indicator This indicator automatically detects Bullish and Bearish BASE formations in trending markets. Key Features: Bullish and Bearish BASE detection with clear visual signals. Dynamic line plotting to highlight important base formations. Automatic reset logic ensures only valid new bases are highlighted. Slope-colored moving averages for quick trend confirmation. How to Use: Green lines and labels indicate bullish base formations. Red lines and labels indicate bearish base formations. Use these bases to identify trend continuation points and potential breakout opportunities.
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Sumit_Verma_ tarafından
2% Averaging Buy-Sell Strategy📘 Strategy Description: 2% Averaging Buy-Sell Strategy This strategy is designed to simulate an averaging-down and scaling-out approach based on percentage-based price movements. Entry Logic (Buy): Initial buy of 1 lot is triggered at the start of the strategy. Every time the price drops by 2% from the last executed buy level, the strategy adds 2 more lots. Exit Logic (Sell): When the price rises 2% from the last buy level, the strategy sells 2 lots. Selling continues in batches of 2 lots as long as the upward movement continues and lots are available. Core Idea: This is a dynamic averaging system that increases exposure during drawdowns and reduces it during rallies, aiming to capture mean reversion or trend reversals. Customizable Inputs: Initial lot size Additional lot size Percentage threshold (default 2%) ⚠️ Note: This strategy is for simulation/backtesting purposes. It does not account for slippage, fees, or real-world order execution conditions.
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nilu903636 tarafından
Detailed Monthly Seasonality Table By TheNextronThe "Detailed Monthly Seasonality Table" script is a Pine Script v6 TradingView indicator designed to visually analyze monthly performance trends for any security. It computes and displays how price behaves month-by-month over a user-defined number of years, offering a clean, data-rich dashboard for evaluating seasonal trading patterns. 📊 Purpose: To help traders identify which months tend to be bullish or bearish, and how consistently the price reacts during those months, based on historical closing prices. 🧩 Key Features: ✅ User Inputs Years to Analyze: How many past years to include in the analysis (e.g., 5–20 years). Result Display Options: % Change or Point Change Toggle to show absolute performance or color-coded gain/loss 📅 Monthly Analysis Logic For each month (Jan to Dec), the script: Gathers historical data year by year Calculates monthly return based on selected price type 📋 Dashboard Output A custom table on the chart showing: Each month's average % return Win rate Number of times the month was positive (green) or negative (red)
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milind810 tarafından
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal) A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate. ⸻ Key Features • Hash Rate SMAs • Short-term SMA (default: 30 days) • Long-term SMA (default: 60 days) • Phase Markers • Gray circle: Short SMA crosses below long SMA (start of capitulation) • White circles: Ongoing capitulation, with brighter white when the short SMA turns upward • Yellow circle: Short SMA crosses back above long SMA (end of capitulation) • Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA) • Display Modes • Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery • Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive) • Optional Overlays • Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels • Raw hash rate data in EH/s • Alerts • Configurable alerts for capitulation start, recovery, and buy signals ⸻ How It Works 1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl). 2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating. 3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery. 4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA). ⸻ Inputs Hash Rate Short SMA: 30 days Hash Rate Long SMA: 60 days Plot Signals: On Plot Halvings: Off Plot Raw Hash Rate: Off ⸻ Considerations • Timeframe: Best applied on daily charts to capture meaningful miner behavior. • Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data. • Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis. • Backtesting: Evaluate performance over different market cycles before live deployment.
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Tin2100 tarafından
Smart Order Blocks [Pro Version]Here’s a **clear, detailed "How It Works" explanation** for this indicator: --- ## ✅ **Smart Order Blocks \ – How It Works** ### **Purpose** This indicator detects **Order Blocks (OBs)** based on **pivot highs and lows**, and automatically marks **Bullish** and **Bearish OB zones** on the chart with optional extensions and alerts. It is designed to help traders identify **institutional price levels** where liquidity is often engineered for future price moves. --- ### **Customization Options** ✔ **Source** → Choose between Wicks or Bodies for OB calculation. ✔ **Pivot Settings** → Adjust sensitivity for detecting pivots. ✔ **Extend OBs** → Keep zones visible until tapped, or fix a specific width. ✔ **Show Labels** → Displays OB type and strength on chart. ✔ **Colors** → Configure Bullish, Bearish, and Invalid OB colors. --- ### **Practical Usage** * **Entry Strategy**: * Wait for price to **revisit a Bullish OB** in an uptrend → Long entry. * Wait for price to **revisit a Bearish OB** in a downtrend → Short entry. * Combine with: * **Market Structure (HH/HL or LH/LL)**. * **Confirmation signals** (e.g., candlestick pattern, break of structure). * **Risk Management** → Stop loss outside OB zone. --- ### ✅ **Summary in One Sentence** The indicator automatically identifies **institutional OB zones**, shows their strength, extends them until mitigated, and alerts you when price interacts with these key liquidity levels, helping you trade like Smart Money. ---
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MSultan74 tarafından
Opening-Range BreakoutNote: Default trading date range looks mediocre. Set date range to "Entire History" to see full effect of the strategy. 50.91% profitable trades, 1.178 profit factor, steady profits and limited drawdown. Total P&L: $154,141.18, Max Drawdown: $18,624.36. High R^2 █ Overview The Opening-Range Breakout strategy is a mechanical, session‑based day‑trading system designed to capture the initial burst of directional momentum immediately following the market open. It defines a user‑configurable “opening range” window, measures its high and low boundaries, then places breakout stop orders at those levels once the range closes. Built‑in filters on minimum range width, reward‑to‑risk ratios, and optional reversal logic help refine entries and manage risk dynamically. █ How It Works Opening‑Range Formation Between 9:30–10:15 AM ET (configurable), the script tracks the highest high and lowest low to form the day’s opening range box. On the first bar after the range window closes, the range high (OR_high) and low (OR_low) are “locked in.” Range‑Width Filter To avoid false breakouts in low‑volatility mornings, the range must be at least X% of the current price (default 0.35%). If the measured opening-range width < minimum threshold, no orders are placed that day. Entry & Order Placement Long: a stop‑buy order at the opening‑range high. Short: a stop‑sell order at the opening‑range low. Only one side can trigger (or both if reverse logic is enabled after a losing trade). Risk Management Once triggered, each trade uses an ATR‑style stop-loss defined as a percentage retracement of the range (default 50% of range width). Profit target is set at a configurable Reward/Risk Ratio (default 1.1×). Optional: Reverse on Stop‑Loss – if the initial breakout loses, immediately reverse into the opposite side on the same day. Session Exit Any open positions are closed at the end of the regular trading day (default 3:45 PM ET window end, with hard flat at session close). Visual cues are provided via green (range high) and red (range low) step‑line plots directly on the chart, allowing you to see the range box and breakout triggers in real time. █ Why It Works Early Momentum Capture: The first 15 – 60 minutes of trading encapsulate overnight news digestion and institutional order flow, creating a well‑defined volatility “range.” Mechanical Discipline: Clear, rule‑based entries and exits remove emotional guesswork, ensuring consistency. Volatility Filtering: By requiring a minimum range width, the system avoids choppy, low‑range days where false breakouts are common. Dynamic Sizing: Stops and targets scale with the opening range, adapting automatically to each day’s volatility environment. █ How to Use Set Your Instruments & Timeframe -Apply to any futures contract on a 1‑ to 5‑minute chart. -Ensure chart timezone is set to America/New_York. Configure Inputs -Opening‑Range Window: e.g. “0930-1015” for a 45‑minute range. -Min. OR Width (%): e.g. 0.35 for 0.35% of current price. -Reward/Risk Ratio: e.g. 1.1 for a modest profit target above your stop. -Max OR Retracement %: e.g. 50 to set stop at 50% of range width. -One Trade Per Day: toggle to limit to a single breakout. -Reverse on Stop Loss: toggle to flip direction after a losing breakout. Monitor the Chart -Watch the green and red range boundaries form during the session open. -Orders will automatically submit on the first bar after the range window closes, conditioned on your filters. Review & Adjust -Backtest across multiple months to validate performance on your preferred contract. -Tweak range duration, minimum width, and R/R multiple to fit your risk tolerance and desired win‑rate vs. expectancy balance. █ Settings Reference Input Defaults Opening‑Range Window - Time window to form OR (HHMM-HHMM) - 0930–1015 Regular Trading Day - Full session for EOD flat (HHMM-HHMM) - 0930–1545 Min. OR Width (%) - Minimum OR size as % of close to trigger orders - 0.35 Reward/Risk Ratio - Profit target multiple of stop‑loss distance - 1.1 Max OR Retracement (%) - % of OR width to use as stop‑loss distance - 50 One Trade Per Day - Limit to a single breakout order per day - false Reverse on Stop Loss - Reverse direction immediately after a losing trade - true Disclaimer This strategy description and any accompanying code are provided for educational purposes only and do not constitute financial advice or a solicitation to trade. Futures trading involves substantial risk, including possible loss of capital. Past performance is not indicative of future results. Traders should assess their own risk tolerance and conduct thorough backtesting and forward-testing before committing real capital.
Pine Script® stratejisi
fabledforman tarafından
1
Harmonic BloomHarmonic Bloom - Advanced Geometric Analysis Building upon my previous Fibonacci inspired indicator "TrendZone", Harmonic Bloom is a sophisticated geometric trading indicator inspired by W.D. Gann's legendary market geometry principles. It reveals market structure through three key pivot points and dynamic angular analysis, creating powerful harmonic intersections for precision trading. 🎯 Core Features: 📍 Three-Point Gann System: Set 3 custom pivot points to define your analysis timeframe Automatic trend detection (bullish/bearish) between pivots Dynamic geometric box construction following Gann's square principles 📐 Gann-Style 45° Angle Projections: Pivot 2 Line: Follows trend direction (up if bullish, down if bearish) Pivot 3 Line: Creates opposition (opposite direction to Pivot 2) Corner Line: Mirrors Pivot 2 from appropriate box corner All angles project forward using Gann's 1x1 (45°) methodology for future price targets ⚡ POWER OF HARMONIC INTERSECTIONS: Confluence Zones: Where multiple 45° angles intersect create the strongest support/resistance Geometric Harmony: Intersections represent natural market turning points Time-Price Balance: Following Gann's principle that time and price must be in harmony Multiple Timeframe Resonance: Intersection points often align across different timeframes High-Probability Reversals: Markets frequently respect these geometric intersection levels 📊 Customizable Retracement Levels: 8 fully configurable levels (default: 0.0, 0.25, 0.5, 0.75, 1.0, 1.25, 1.5, 1.75) Choose between 25% or 50% trendline alignment Individual style controls for each level 🔢 Advanced Gann Analytics: Fibonacci sequence detection in bar counts (Gann studied natural number sequences) Numerology sum analysis on pivot prices (Gann's mystical number approach) Special highlighting for significant numbers Optional on-chart labels for key metrics 📈 Trading Applications: ✅ Support/Resistance: Use retracement levels for entry/exit points ✅ Gann Angles: 45° lines show momentum direction and strength following Gann's time-price theory ✅ Intersection Trading: Most powerful signals occur at harmonic intersections where multiple angles converge ✅ Price Targets: Forward projections provide future price objectives using Gann's geometric principles ✅ Market Geometry: Identify harmonic patterns and geometric confluences ✅ Time Analysis: Fibonacci-based bar counting for timing decisions (Gann emphasized time cycles) 🌟 Why Harmonic Intersections Are So Powerful: Gann believed that markets move in geometric harmony, and when multiple angles intersect, they create "magnetic price levels" where: Maximum Energy Convergence: Multiple geometric forces meet at one point Natural Turning Points: Markets respect these intersections as natural support/resistance Time-Price Synchronicity: Intersections often coincide with significant time cycles Multi-Dimensional Confirmation: Price, time, and geometry align simultaneously ⚙️ Highly Customizable: All colors, widths, and styles adjustable Toggle any feature on/off independently Extend projections beyond the analysis box Choose your preferred visual presentation Perfect for traders who use Gann theory, geometric analysis, harmonic patterns, and mathematical market structure. The true power lies in trading the intersection points where multiple harmonic angles converge - these represent the market's most significant geometric turning points.
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polyslyme tarafından
12