始めましょう

サイクル

Trend Score Stop Loss Trend Score Indicator Guide This indicator is designed for futures trading during RTH (Regular Trading Hours, 9:30–16:00 NY time). It’s an all-in-one bull/bear trend system with built-in stop loss logic — simple, objective, and always active. ⸻ 🔹 How Trend Score Works • The trend score is calculated only during RTH and resets at the start of each new session. • Each candle contributes to the score as follows: • ✅ Breaks previous high → +1 • ❌ Breaks previous low → –1 • ⚖️ Breaks both high and low → 0 (–1 + 1 cancel out) • 💤 Breaks neither high nor low → 0 ⸻ 🔹 Determining the First Trend • The first valid session trend is established when the cumulative score hits +3 or –3. • +3 → Start of a Bull Trend • –3 → Start of a Bear Trend ⚠️ Note: The indicator requires at least 3 candles to generate the first +3/–3 sequence. 👉 This means the first 3 minutes of the open (9:30–9:33) are ignored — a natural filter that avoids the most volatile/noisy part of the day. ⸻ 🔹 Stop Loss vs. Trend Change These are two separate events: • Stop Loss • A stop level is drawn at the candle that initiated the +3 or –3 trigger. • This line is only a visual suggestion — it does not force an exit. • Real-world stop placement depends on your own discretion, factoring in position size, volatility, and strategy. • Hitting this level does not automatically mean the trend is over. • Trend Change • The trend only reverses when the opposite direction accumulates 3 points. • Example: In a Bull trend, the system flips to Bear only when a –3 sequence occurs (and vice versa). • A trend change can happen before or without the stop loss ever being hit. ⸻ 🔹 Key Features • ✅ Active only during RTH (9:30–16:00 NY) — no overnight distortions. • 🔄 Auto-reset daily at the start of each session. • 🟢🔴 Always in a trend — continuously switches between Bull and Bear. • 🛡️ Stop loss marked visually — but final risk management is trader’s choice. • ⏳ Avoids first 3 minutes of open — naturally filters volatility & false signals. ⸻ ✨ In short: The Trend Score Indicator transforms simple high/low breaks into a rule-based trend framework. You’ll always know if the market is in a bull or bear phase, where the suggested stop loss lies, and when a true trend reversal occurs — while still leaving risk management decisions in your hands. ⸻ For better user experience: Deselect danger score, delta per bar, slope m10, panel label in the style tap. These are used for the calculation purpose only. You can also change your session time to 1800 to 1600, however it may not work well in ETH session.
Pine Script® インジケーター
DeLeBlancの投稿
4
Trend Score Raw Data Trend Score Raw Data: 🚨This indicator is to support the Trend Score Stop Loss indicator. This indicator is to show the raw data and change within of the trend score. Advanced user to predict when trend score could change and understand the strength of the current trend score. 🔹 How Trend Score Works • The trend score is calculated only during RTH and resets at the start of each new session. • Each candle contributes to the score as follows: • ✅ Breaks previous high → +1 • ❌ Breaks previous low → –1 • ⚖️ Breaks both high and low → 0 (–1 + 1 cancel out) • 💤 Breaks neither high nor low → 0 🔹 Determining the First Trend • The first valid session trend is established when the cumulative score hits +3 or –3. • +3 → Start of a Bull Trend • –3 → Start of a Bear Trend There are 3 types of data in the panel: The real trend score raw data cumulative in the RTH session. The slope of trend score. (slope is calculated based on 9 candles, you can adjust your own setting) The delta change of trend score per candle based on previous high/low. You can deselect the slope of the trend score function if you don't need it.
Pine Script® インジケーター
DeLeBlancの投稿
Trend Following CryptoSmartTrend Following CryptoSmart is a hybrid trend-following system designed for traders who value visual precision, structured logic, and clean confirmations. This indicator combines a hybrid main line (EMA + trailing stop behavior) with a parallel secondary line, both offset from price by customizable distance. The logic resets on MACD crossovers and behaves like a dynamic visual stop, never repainting against trend. Features include: Modular lines with professional-grade smoothing Shadow between price and trend, with separate color and opacity for bullish and bearish conditions Displaced Long/Short labels with customizable style Visual markers over native candles, without replacing them Ideal for Smart Money flows, visual entry systems, and multi-timeframe confirmations. This script is optimized for clarity, accessibility, and full customization. Every parameter is adjustable from the settings panel, allowing traders to tailor both visual and logical behavior to their strategy.
Pine Script® インジケーター
edwardflores194の投稿
PnL Bubble [%] | Fractalyst1. What's the indicator purpose? The PnL Bubble indicator transforms your strategy's trade PnL percentages into an interactive bubble chart with professional-grade statistics and performance analytics. It helps traders quickly assess system profitability, understand win/loss distribution patterns, identify outliers, and make data-driven strategy improvements. How does it work? Think of this indicator as a visual report card for your trading performance. Here's what it does: What You See Colorful Bubbles: Each bubble represents one of your trades Blue/Cyan bubbles = Winning trades (you made money) Red bubbles = Losing trades (you lost money) Bigger bubbles = Bigger wins or losses Smaller bubbles = Smaller wins or losses How It Organizes Your Trades: Like a Photo Album: Instead of showing all your trades at once (which would be messy), it shows them in "pages" of 500 trades each: Page 1: Your first 500 trades Page 2: Trades 501-1000 Page 3: Trades 1001-1500, etc. What the Numbers Tell You: Average Win: How much money you typically make on winning trades Average Loss: How much money you typically lose on losing trades Expected Value (EV): Whether your trading system makes money over time Positive EV = Your system is profitable long-term Negative EV = Your system loses money long-term Payoff Ratio (R): How your average win compares to your average loss R > 1 = Your wins are bigger than your losses R < 1 = Your losses are bigger than your wins Why This Matters: At a Glance: You can instantly see if you're a profitable trader or not Pattern Recognition: Spot if you have more big wins than big losses Performance Tracking: Watch how your trading improves over time Realistic Expectations: Understand what "average" performance looks like for your system The Cool Visual Effects: Animation: The bubbles glow and shimmer to make the chart more engaging Highlighting: Your biggest wins and losses get extra attention with special effects Tooltips: hover any bubble to see details about that specific trade. What are the underlying calculations? The indicator processes trade PnL data using a dual-matrix architecture for optimal performance: Dual-Matrix System: • Display Matrix (display_matrix): Bounded to 500 trades for rendering performance • Statistics Matrix (stats_matrix): Unbounded storage for complete statistical accuracy Trade Classification & Aggregation: // Separate wins, losses, and break-even trades if val > 0.0 pos_sum += val // Sum winning trades pos_count += 1 // Count winning trades else if val < 0.0 neg_sum += val // Sum losing trades neg_count += 1 // Count losing trades else zero_count += 1 // Count break-even trades Statistical Averages: avg_win = pos_count > 0 ? pos_sum / pos_count : na avg_loss = neg_count > 0 ? math.abs(neg_sum) / neg_count : na Win/Loss Rates: total_obs = pos_count + neg_count + zero_count win_rate = pos_count / total_obs loss_rate = neg_count / total_obs Expected Value (EV): ev_value = (avg_win × win_rate) - (avg_loss × loss_rate) Payoff Ratio (R): R = avg_win ÷ |avg_loss| Contribution Analysis: ev_pos_contrib = avg_win × win_rate // Positive EV contribution ev_neg_contrib = avg_loss × loss_rate // Negative EV contribution How to integrate with any trading strategy? Equity Change Tracking Method: //@version=6 strategy("Your Strategy with Equity Change Export", overlay=true) float prev_trade_equity = na float equity_change_pct = na if barstate.isconfirmed and na(prev_trade_equity) prev_trade_equity := strategy.equity trade_just_closed = strategy.closedtrades != strategy.closedtrades if trade_just_closed and not na(prev_trade_equity) current_equity = strategy.equity equity_change_pct := ((current_equity - prev_trade_equity) / prev_trade_equity) * 100 prev_trade_equity := current_equity else equity_change_pct := na plot(equity_change_pct, "Equity Change %", display=display.data_window) Integration Steps: 1. Add equity tracking code to your strategy 2. Load both strategy and PnL Bubble indicator on the same chart 3. In bubble indicator settings, select your strategy's equity tracking output as data source 4. Configure visualization preferences (colors, effects, page navigation) How does the pagination system work? The indicator uses an intelligent pagination system to handle large trade datasets efficiently: Page Organization: • Page 1: Trades 1-500 (most recent) • Page 2: Trades 501-1000 • Page 3: Trades 1001-1500 • Page N: Trades to Example: With 1,500 trades total (3 pages available): • User selects Page 1: Shows trades 1-500 • User selects Page 4: Automatically falls back to Page 3 (trades 1001-1500) 5. Understanding the Visual Elements Bubble Visualization: • Color Coding: Cyan/blue gradients for wins, red gradients for losses • Size Mapping: Bubble size proportional to trade magnitude (larger = bigger P&L) • Priority Rendering: Largest trades displayed first to ensure visibility • Gradient Effects: Color intensity increases with trade magnitude within each category Interactive Tooltips: Each bubble displays quantitative trade information: tooltip_text = outcome + " | PnL: " + pnl_str + " Date: " + date_str + " " + time_str + " Trade #" + str.tostring(trade_number) + " (Page " + str.tostring(active_page) + ")" + " Rank: " + str.tostring(rank) + " of " + str.tostring(n_display_rows) + " Percentile: " + str.tostring(percentile, "#.#") + "%" + " Magnitude: " + str.tostring(magnitude_pct, "#.#") + "%" Example Tooltip: Win | PnL: +2.45% Date: 2024.03.15 14:30 Trade #1,247 (Page 3) Rank: 5 of 347 Percentile: 98.6% Magnitude: 85.2% Reference Lines & Statistics: • Average Win Line: Horizontal reference showing typical winning trade size • Average Loss Line: Horizontal reference showing typical losing trade size • Zero Line: Threshold separating wins from losses • Statistical Labels: EV, R-Ratio, and contribution analysis displayed on chart What do the statistical metrics mean? Expected Value (EV): Represents the mathematical expectation per trade in percentage terms EV = (Average Win × Win Rate) - (Average Loss × Loss Rate) Interpretation: • EV > 0: Profitable system with positive mathematical expectation • EV = 0: Break-even system, profitability depends on execution • EV < 0: Unprofitable system with negative mathematical expectation Example: EV = +0.34% means you expect +0.34% profit per trade on average Payoff Ratio (R): Quantifies the risk-reward relationship of your trading system R = Average Win ÷ |Average Loss| Interpretation: • R > 1.0: Wins are larger than losses on average (favorable risk-reward) • R = 1.0: Wins and losses are equal in magnitude • R < 1.0: Losses are larger than wins on average (unfavorable risk-reward) Example: R = 1.5 means your average win is 50% larger than your average loss Contribution Analysis (Σ): Breaks down the components of expected value Positive Contribution (Σ+) = Average Win × Win Rate Negative Contribution (Σ-) = Average Loss × Loss Rate Purpose: • Shows how much wins contribute to overall expectancy • Shows how much losses detract from overall expectancy • Net EV = Σ+ - Σ- (Expected Value per trade) Example: Σ+: 1.23% means wins contribute +1.23% to expectancy Example: Σ-: -0.89% means losses drag expectancy by -0.89% Win/Loss Rates: Win Rate = Count(Wins) ÷ Total Trades Loss Rate = Count(Losses) ÷ Total Trades Shows the probability of winning vs losing trades Higher win rates don't guarantee profitability if average losses exceed average wins 7. Demo Mode & Synthetic Data Generation When using built-in sources (close, open, etc.), the indicator generates realistic demo trades for testing: if isBuiltInSource(source_data) // Generate random trade outcomes with realistic distribution u_sign = prand(float(time), float(bar_index)) if u_sign < 0.5 v_push := -1.0 // Loss trade else // Skewed distribution favoring smaller wins (realistic) u_mag = prand(float(time) + 9876.543, float(bar_index) + 321.0) k = 8.0 // Skewness factor t = math.pow(u_mag, k) v_push := 2.5 + t * 8.0 // Win trade Demo Characteristics: • Realistic win/loss distribution mimicking actual trading patterns • Skewed distribution favoring smaller wins over large wins • Deterministic randomness for consistent demo results • Includes jitter effects to prevent visual overlap 8. Performance Limitations & Optimizations Display Constraints: points_count = 500 // Maximum 500 dots per page for optimal performance Pine Script v6 Limits: • Label Count: Maximum 500 labels per indicator • Line Count: Maximum 100 lines per indicator • Box Count: Maximum 50 boxes per indicator • Matrix Size: Efficient memory management with dual-matrix system Optimization Strategies: • Pagination System: Handle unlimited trades through 500-trade pages • Priority Rendering: Largest trades displayed first for maximum visibility • Dual-Matrix Architecture: Separate display (bounded) from statistics (unbounded) • Smart Fallback: Automatic page clamping prevents empty displays Impact & Workarounds: • Visual Limitation: Only 500 trades visible per page • Statistical Accuracy: Complete dataset used for all calculations • Navigation: Use page input to browse through entire trade history • Performance: Smooth operation even with thousands of trades 9. Statistical Accuracy Guarantees Data Integrity: • Complete Dataset: Statistics matrix stores ALL trades without limit • Proper Aggregation: Separate tracking of wins, losses, and break-even trades • Mathematical Precision: Pine Script v6's enhanced floating-point calculations • Dual-Matrix System: Display limitations don't affect statistical accuracy Calculation Validation: // Verified formulas match standard trading mathematics avg_win = pos_sum / pos_count // Standard average calculation win_rate = pos_count / total_obs // Standard probability calculation ev_value = (avg_win * win_rate) - (avg_loss * loss_rate) // Standard EV formula Accuracy Features: • Mathematical Correctness: Formulas follow established trading statistics • Data Preservation: Complete dataset maintained for all calculations • Precision Handling: Proper rounding and boundary condition management • Real-Time Updates: Statistics recalculated on every new trade 10. Advanced Technical Features Real-Time Animation Engine: // Shimmer effects with sine wave modulation offset = math.sin(shimmer_t + phase) * amp // Dynamic transparency with organic flicker new_transp = math.min(flicker_limit, math.max(-flicker_limit, cur_transp + dir * flicker_step)) • Sine Wave Shimmer: Dynamic glowing effects on bubbles • Organic Flicker: Random transparency variations for natural feel • Extreme Value Highlighting: Special visual treatment for outliers • Smooth Animations: Tick-based updates for fluid motion Magnitude-Based Priority Rendering: // Sort trades by magnitude for optimal visual hierarchy sort_indices_by_magnitude(values_mat) • Largest First: Most important trades always visible • Intelligent Sorting: Custom bubble sort algorithm for trade prioritization • Performance Optimized: Efficient sorting for real-time updates • Visual Hierarchy: Ensures critical trades never get hidden Professional Tooltip System: • Quantitative Data: Pure numerical information without interpretative language • Contextual Ranking: Shows trade position within page dataset • Percentile Analysis: Performance ranking as percentage • Magnitude Scaling: Relative size compared to page maximum • Professional Format: Clean, data-focused presentation 11. Quick Start Guide Step 1: Add Indicator • Search for "PnL Bubble | Fractalyst" in TradingView indicators • Add to your chart (works on any timeframe) Step 2: Configure Data Source • Demo Mode: Leave source as "close" to see synthetic trading data • Strategy Mode: Select your strategy's PnL% output as data source Step 3: Customize Visualization • Colors: Set positive (cyan), negative (red), and neutral colors • Page Navigation: Use "Trade Page" input to browse trade history • Visual Effects: Built-in shimmer and animation effects are enabled by default Step 4: Analyze Performance • Study bubble patterns for win/loss distribution • Review statistical metrics: EV, R-Ratio, Win Rate • Use tooltips for detailed trade analysis • Navigate pages to explore full trade history Step 5: Optimize Strategy • Identify outlier trades (largest bubbles) • Analyze risk-reward profile through R-Ratio • Monitor Expected Value for system profitability • Use contribution analysis to understand win/loss impact 12. Why Choose PnL Bubble Indicator? Unique Advantages: • Advanced Pagination: Handle unlimited trades with smart fallback system • Dual-Matrix Architecture: Perfect balance of performance and accuracy • Professional Statistics: Institution-grade metrics with complete data integrity • Real-Time Animation: Dynamic visual effects for engaging analysis • Quantitative Tooltips: Pure numerical data without subjective interpretations • Priority Rendering: Intelligent magnitude-based display ensures critical trades are always visible Technical Excellence: • Built with Pine Script v6 for maximum performance and modern features • Optimized algorithms for smooth operation with large datasets • Complete statistical accuracy despite display optimizations • Professional-grade calculations matching institutional trading analytics Practical Benefits: • Instantly identify system profitability through visual patterns • Spot outlier trades and risk management issues • Understand true risk-reward profile of your strategies • Make data-driven decisions for strategy optimization • Professional presentation suitable for performance reporting Disclaimer & Risk Considerations: Important: Historical performance metrics, including positive Expected Value (EV), do not guarantee future trading success. Statistical measures are derived from finite sample data and subject to inherent limitations: • Sample Bias: Historical data may not represent future market conditions or regime changes • Ergodicity Assumption: Markets are non-stationary; past statistical relationships may break down • Survivorship Bias: Strategies showing positive historical EV may fail during different market cycles • Parameter Instability: Optimal parameters identified in backtesting often degrade in forward testing • Transaction Cost Evolution: Slippage, spreads, and commission structures change over time • Behavioral Factors: Live trading introduces psychological elements absent in backtesting • Black Swan Events: Extreme market events can invalidate statistical assumptions instantaneously
Pine Script® インジケーター
Fractalystの投稿
NY Sessions Boxes (Live Drawing)//@version=5 indicator("NY Sessions Boxes (Live Drawing)", overlay=true) ny_tz = "America/New_York" t = time(timeframe.period, ny_tz) hour_ny = hour(t) minute_ny = minute(t) // سشن ۱: 02:00 – 05:00 session1_active = (hour_ny >= 2 and hour_ny < 5) session1_start = (hour_ny == 2 and minute_ny == 0) // سشن ۲: 09:30 – 11:00 session2_active = ((hour_ny == 9 and minute_ny >= 30) or (hour_ny > 9 and hour_ny < 11)) session2_start = (hour_ny == 9 and minute_ny == 30) var box box1 = na var float hi1 = na var float lo1 = na if session1_start hi1 := high lo1 := low box1 := box.new(left = time, right = time, top = high, bottom = low, bgcolor=color.new(color.blue, 85), border_color=color.blue) if session1_active and not na(box1) hi1 := math.max(hi1, high) lo1 := math.min(lo1, low) box.set_right(box1, time) box.set_top(box1, hi1) box.set_bottom(box1, lo1) if not session1_active and not na(box1) box1 := na hi1 := na lo1 := na var box box2 = na var float hi2 = na var float lo2 = na if session2_start hi2 := high lo2 := low box2 := box.new(left = time, right = time, top = high, bottom = low, bgcolor=color.new(color.purple, 85), border_color=color.purple) if session2_active and not na(box2) hi2 := math.max(hi2, high) lo2 := math.min(lo2, low) box.set_right(box2, time) box.set_top(box2, hi2) box.set_bottom(box2, lo2) if not session2_active and not na(box2) box2 := na hi2 := na lo2 := na
Pine Script® インジケーター
Serpico87の投稿
BTC Power-Law Decay Channel Oscillator (0–100)🟠 BTC Power-Law Decay Channel Oscillator (0–100) This indicator calculates Bitcoin’s position inside its long-term power-law decay channel and normalizes it into an easy-to-read 0–100 oscillator. 🔎 Concept Bitcoin’s long-term price trajectory can be modeled by a log-log power-law channel. A baseline is fitted, then an upper band (excess/euphoria) and a lower band (capitulation/fear). The oscillator shows where the current price sits between those bands: 0 = near the lower band (historical bottoms) 100 = near the upper band (historical tops) 📊 How to Read Oscillator > 80 → euphoric excess, often cycle tops Oscillator < 20 → capitulation, often cycle bottoms Works best on weekly or bi-weekly timeframes. ⚙️ Adjustable Parameters Anchor date: starting point for the power-law fit (default: 2011). Smoothing days: moving average applied to log-price (default: 365 days). Upper / Lower multipliers: scale the bands to align with historical highs and lows. ✅ Best Use Combine with other cycle signals (dominance ratios, macro indicators, sentiment). Designed for long-term cycle analysis, not intraday trading.
Pine Script® インジケーター
Darkoin_tradingの投稿
[GrandAlgo] Moving Averages Cross LevelsMoving Averages Cross Levels Many traders watch for moving average crossovers – such as the golden cross (50 MA crossing above 200 MA) or death cross – as signals of changing trends. However, once a crossover happens, the exact price level where it occurred often fades from view, even though that level can be an important reference point. Moving Averages Cross Levels is an indicator that keeps those crossover price levels visible on your chart, helping you track where momentum shifts occurred and how price behaves relative to those key levels. This tool plots horizontal line segments at the price where each pair of selected moving averages crossed within a recent window of bars. Each level is labeled with the moving average lengths (for example, “21×50” for a 21/50 MA cross) and is color-coded – green for bullish crossovers (short-term MA crossing above long-term MA) and red for bearish crossunders (short-term crossing below). By visualizing these crossover levels, you can quickly identify past trend change points and use them as potential support/resistance or decision levels in your trading. Importantly, this indicator is non-repainting – once a crossover level is plotted, it remains fixed at the historical price where the cross occurred, allowing you to continually monitor that level going forward. (As with any moving average-based analysis, crossover signals are lagging, so use these levels in conjunction with other tools for confirmation.) Key Features: ✅ Multiple Moving Averages: Track up to 7 different MAs (e.g. 5, 8, 21, 50, 64, 83, 200 by default) simultaneously. You can enable/disable each MA and set its length, allowing flexible combinations of short-term and long-term averages. ✅ Selectable MA Type: Each average can be calculated as a Simple (SMA), Exponential (EMA), Volume-Weighted (VWMA), or Smoothed (RMA) moving average, giving you flexibility to match your preferred method. ✅ Auto Crossover Detection: The script automatically detects all crosses between any enabled MA pairs, so you don’t have to specify pairs manually. Whether it’s a fast cross (5×8) or a long-term cross (50×200), every crossover within the lookback period will be identified and marked. ✅ Horizontal Level Markers: For each detected crossover, a horizontal line segment is drawn at the exact price where the crossover occurred. This makes it easy to glance at your chart and see precisely where two moving averages intersected in the recent past. ✅ Labeled and Color-Coded: Each crossover line is labeled with the two MA lengths that crossed (e.g. “50×200”) for clear identification. Colors indicate crossover direction – by default green for bullish (positive) crossovers and red for bearish (negative) crossovers – so you can tell at a glance which way the trend shifted. (You can customize these colors in the settings.) ✅ Adjustable Lookback: A “Crosses with X candles” input lets you control how far back the script looks for crossovers to plot. This prevents your chart from getting cluttered with too many old levels – for example, set X = 100 to show crossovers from roughly the last 100 bars. Older crossover lines beyond this lookback window will automatically clear off the chart. ✅ Optional MA Plots: You can toggle the display of each moving average line on the chart. This means you can either view just the crossover levels alone for a clean look, or also overlay the MA curves themselves for additional context (to see how price and MAs were moving around the crossover). ✅ No Repainting or Hindsight Bias: Once a crossover level is plotted, it stays at that fixed price. The indicator doesn’t move levels around after the fact – each line is a true historical event marker. This allows you to backtest visually: see how price acted after the crossover by observing if it retested or respected that level later. How It Works: 1️⃣ Add to Chart & Configure – Simply add the indicator to your chart. In the settings, choose which moving averages you want to include and set their lengths. For example, you might enable 21, 50, 200 to focus on medium and long-term crosses (including the golden cross), or turn on shorter MAs like 5 and 8 for quick momentum shifts. Adjust the lookback (number of bars to scan for crosses) if needed. 2️⃣ Visualization – The script continuously checks the latest X bars for any points where one MA crossed above or below another. Whenever a crossover is found, it calculates the exact price level at which the two moving averages intersected. On the last bar of your chart, it will draw a horizontal line segment extending from the crossover bar to the current bar at that price level, and place a label to the right of the line with the MA lengths. Green lines/labels signify bullish crossovers (where the first MA crossed above the second), and red lines indicate bearish crossunders. 3️⃣ On Your Chart – You will see these labeled levels aligned with the price scale. For example, if a 50 MA crossed above a 200 MA (bullish) 50 bars ago at price $100, there will be a green “50×200” line at $100 extending to the present, showing you exactly where that golden cross happened. You might notice price pulling back near that level and bouncing, or if price falls back through it, it could signal a failed crossover. The indicator updates in real-time: if a new crossover happens on the latest bar, a new line and label will instantly appear, and if any old cross moves out of the lookback range, its line is removed to keep the chart focused. 4️⃣ Customization – You can fine-tune the appearance: toggle any MA’s visibility, change line colors or label styles, and modify the lookback length to suit different timeframes. For instance, on a 1-hour chart you might use a lookback of 500 bars to see a few weeks of cross history, whereas on a daily chart 100 bars (about 4–5 months) may be sufficient. Adjust these settings based on how many crossover levels you find useful to display. Ideal for Traders Who: Use MA Crossovers in Strategy: If your strategy involves moving average crossovers (for trend confirmation or entry/exit signals), this indicator provides an extra layer of insight by keeping the price of those crossover events in sight. For example, trend-followers can watch if price stays above a bullish crossover level as a sign of trend strength, or falls below it as a sign of weakness. Identify Support/Resistance from MA Events: Crossover levels often coincide with pivot points in market sentiment. A crossover can act like a regime change – the level where it happened may turn into support or resistance. This tool helps you mark those potential S/R levels automatically. Rather than manually noting where a golden cross occurred, you’ll have it highlighted, which can be useful for setting stop-losses (e.g. below the crossover price in a bullish scenario) or profit targets. Track Multiple Averages at Once: Instead of focusing on just one pair of moving averages, you might be interested in the interaction of several (short, medium, and long-term trends). This indicator caters to that by plotting all relevant crossovers among your chosen MAs. It’s great for multi-timeframe thinkers as well – e.g. you could apply it on a higher timeframe chart to mark major cross levels, then drill down to lower timeframes knowing those key prices. Value Clean Visualization: There are no flashing signals or arrows – just simple lines and labels that enhance your chart’s storytelling. It’s ideal if you prefer to make trading decisions based on understanding price interaction with technical levels rather than following automatic trade calls. Moving Averages Cross Levels gives you information to act on, without imposing any bias or strategy – you interpret the crossover levels in the context of your own trading system.
Pine Script® インジケーター
GrandAlgoの投稿
Volume Heat ZoneVolume Zones Indicator This Pine Script creates a volume-based zone analysis tool for TradingView. Function: Divides the price range (high to low) into 20 levels over a 100-candle lookback period Measures volume activity at each price level Draws boxes at levels with above-average volume (1.5x threshold) Key Settings: Lookback Period (100): Number of candles analyzed Price Levels (20): Price range subdivisions Volume Threshold (1.5): Minimum volume multiplier for zones Candle Offset (1): Excludes current candle from analysis Projection Bars (10): Extends boxes 10 bars into the future How it works: The indicator identifies price levels where significant trading volume occurred historically, highlighting potential support/resistance zones. Boxes are redrawn on each confirmed candle, showing dynamic volume concentration areas that traders can use for entry/exit decisions.
Pine Script® インジケーター
trading_zone42の投稿
Interest Rates CBs % Cutting📌 Description This indicator tracks how many central banks around the world are currently cutting their policy rates. It aggregates policy rate changes from more than 30 central banks (including the Federal Reserve, ECB, BoE, BoJ, PBoC, Banco Central do Brasil, and many others) and normalizes the count to show the global percentage of banks easing monetary policy at any given time. The calculation is simple: A rate cut is counted as +1 A rate hike is counted as -1 No change = 0 The results are normalized by the number of banks with available data The output is a smoothed line showing the share of central banks currently cutting rates. This helps highlight shifts in the global monetary cycle, which can be useful for macro-oriented analysis, risk-on/off regimes, or as a background filter for other strategies. ⚖️ Attribution This script is inspired by and based on the “Global Central Banks Cutting Rates” indicator developed by Julien Bittel (MIT / RealVision). This version expands the coverage to a broader set of central banks and provides additional flexibility for signal smoothing. 🛑 Disclaimer This indicator is for educational and analytical purposes only. It does not constitute financial advice or a trading signal. Please do your own research before making any investment decisions.
Pine Script® インジケーター
mks17の投稿
Capiba RSI + Ichimoku + VolatilidadeThe "Capiba RSI + Ichimoku + Volatility" indicator is a powerful, all-in-one technical analysis tool designed to provide traders with a comprehensive view of market dynamics directly on their price chart. This multi-layered indicator combines a custom Relative Strength Index (RSI), the trend-following Custom Ichimoku Cloud, and dynamic volatility lines to help identify high-probability trading setups. How It Works This indicator functions by overlaying three distinct, yet complementary, analysis systems onto a single chart, offering a clear and actionable perspective on a wide range of market conditions, from strong trends to periods of consolidation. 1. Custom RSI & Momentum Signals The core of this indicator is a refined version of the Relative Strength Index (RSI). It calculates a custom Ultimate RSI that is more sensitive to price movements, offering a quicker response to potential shifts in momentum. The indicator also plots a moving average of this RSI, allowing for the generation of clear trading signals. Use RMAs.   Bar Coloring: The color of the price bars on your chart dynamically changes to reflect the underlying RSI momentum. Blue bars indicate overbought conditions, suggesting trend and a potential short-term reversal.   Yellow bars indicate oversold conditions, hinting at a potential bounce.   Green bars signal bullish momentum, where the Custom RSI is above both 50 and its own moving average. Red bars indicate bearish momentum, as the Custom RSI is below both 50 and its moving average. Trading Signals: The indicator plots visual signals directly on the chart in the form of triangles to highlight key entry and exit points. A green triangle appears when the Custom RSI crosses above its moving average (a buy signal), while a red triangle marks a bearish crossunder (a sell signal). 2. Custom Ichimoku Cloud for Trend Confirmation This component plots a standard Ichimoku Cloud directly on the chart, providing a forward-looking view of trend direction, momentum, and dynamic support and resistance levels.   The cloud’s color serves as a strong visual cue for the prevailing trend: a green cloud indicates a bullish trend, while a red cloud signals a bearish trend.   The cloud itself acts as a dynamic support or resistance zone. For example, in an uptrend, prices are expected to hold above the cloud, which provides a strong support level for the market.   3. Dynamic Volatility Lines This final layer is a dynamic volatility channel that automatically plots the highest high and lowest low from a user-defined period. These lines create a visual representation of the recent price range, helping traders understand the current market volatility.   Volatility Ratio: A label is displayed on the chart showing a volatility ratio, which compares the current price range to a historical average. A high ratio indicates increasing volatility, while a low ratio suggests a period of price consolidation or lateral movement, a valuable insight for day traders.   The indicator is highly customizable, allowing you to adjust parameters like RSI length, overbought/oversold levels, Ichimoku periods, and volatility lookback periods to suit your personal trading strategy. It is an ideal tool for traders who rely on a combination of momentum, trend, and volatility to make well-informed decisions.
Pine Script® インジケーター
guilhermecapibaの投稿
National - Daily Kill Zone LinesDaily Kill Zone Lines This indicator helps traders mark and visualize their daily "kill zone" with precision. Plots two vertical lines at your chosen session start and end time. Adjustable line color, style (solid/dashed/dotted), and width. Optional shading between the lines for easy zone tracking. Works on intraday charts and automatically updates for each new day. Ideal for session-based trading strategies such as London open, New York open, or any custom time window you rely on.
Pine Script® インジケーター
semedinの投稿
Ultimate Fundamental FortressScript Overview This script provides a comprehensive Fundamental Health Scorecard for stocks, calculating a normalized score out of 100 based on key financial metrics fetched from TradingView's fundamental data. It displays the results in an elegant table with customizable colors, a dynamic plot for visualization, and a scorecard label for quick insights. The scorecard helps users assess a stock's value, profitability, and financial strength at a glance. Purpose The primary goal is to simplify fundamental analysis by aggregating essential ratios into a single, easy-to-interpret score. Inspired by value investing principles (e.g., low P/E and P/B for undervalued stocks, high ROE for efficiency), it empowers traders and investors to identify strong fundamentals quickly. It's especially useful for screening undervalued opportunities or comparing stocks within sectors. Principles Metrics Selection: Focuses on core fundamentals: Price-to-Book (P/B), Price-to-Earnings (P/E), Return on Equity (ROE), Debt-to-Equity (D/E), Free Cash Flow (FCF normalized by market cap), EBITDA (normalized by market cap), and Net Profit Margin. These are chosen for their balance of valuation, profitability, and risk assessment. Scoring Philosophy: Each metric is scored based on thresholds (e.g., low ratios for valuation metrics indicate better value). If manual sector averages are provided, scoring becomes relative (e.g., stock P/B below sector average gets higher points), reducing subjectivity and adapting to industry norms. Without averages, absolute thresholds apply. Normalization: Scores are summed and scaled to 100, ignoring missing data to ensure robustness. This allows fair comparison across stocks with varying data availability. Customization: Users can adjust thresholds, colors, and sector averages for personalized analysis, making it flexible for different markets or strategies. Calculation Methodology Data Fetching: Uses request.financial() to pull quarterly (FQ) or trailing twelve months (TTM) data for metrics like BVPS, EPS, ROE, etc. Ratio Computations: P/B = Close Price / BVPS P/E = Close Price / EPS ROE = Directly fetched D/E = Total Liabilities / Equity Net Margin = Net Income / Revenue Normalized FCF = FCF / Market Cap (as percentage) Normalized EBITDA = EBITDA / Market Cap (as percentage) Scoring: For each metric, compare to thresholds or relative to sector averages (if provided >0). Example for P/B: If relative (sector avg >0), stock P/B < avg * high factor → 15 pts; < avg * med factor → 10 pts; etc. For ROE/Net Margin (higher is better): Reverse logic (stock > avg / factor). FCF/EBITDA: Always absolute (normalized thresholds). Minimum score per metric: 2-5 pts if poor. Total Score: Sum valid scores, divide by max possible for those metrics, multiply by 100. Output: Table shows components, values, scores, and sector avgs. Plot visualizes score with color-coding. Label categorizes (e.g., "Buffett Approved" for 85+). User Inputs and Benefits Thresholds (Absolute/Relative Factors): Customize scoring rules (e.g., change P/E low threshold from 10 to 12). Benefit: Adapt to personal strategy or market conditions – e.g., stricter for growth stocks. Manual Sector Averages: Enter averages (e.g., sector P/B = 2.5). Benefit: Makes scoring industry-specific, reducing bias (e.g., tech's high P/E normal, banking's low ROE risky). If not entered (≤0), falls back to absolute for simplicity. Color Customizations: Adjust table colors (header, scores). Benefit: Personalize visuals for dark/light themes, improving readability and user experience. Normalized FCF/EBITDA Thresholds: Set as % of market cap. Benefit: Size-independent comparison – small caps won't be disadvantaged. Usage Notes Add to chart via Indicators menu. Data relies on TradingView fundamentals – may be limited for some exchanges (e.g., BIST, international). Use manual averages for accuracy. For screener: High request count (10) may exceed limits; use reduced version if needed. Not financial advice – always verify with external sources. Feedback welcome – let's improve together!
Pine Script® インジケーター
IQ-TRADERの投稿