Rozpocznij

Cykle

Trend Score with Dynamic Stop Loss RTH 📘 Trend Score with Dynamic Stop Loss (RTH) — Guide 🔎 Overview This indicator tracks intraday momentum during Regular Trading Hours and flags trend flips using a cumulative TrendScore. It also draws dynamic stop-loss levels and shows a live stats table for quick decision-making and journaling. ⸻ ⚙️ Core Concepts 1) TrendScore (per bar) • +1 if the current bar makes a higher high than the previous bar (counted once per bar). • –1 if the current bar makes a lower low than the previous bar (counted once per bar). • If a bar takes both the prior high and low, the net contribution can cancel out within that bar. 2) Cumulative TrendScore (running total) • The per-bar TrendScore accumulates across the session to form the cumulative TrendScore (TS). • TS resets to 0 at session open and is cleared at session close. • Rising TS = persistent upside pressure; falling TS = persistent downside pressure. ⸻ 🔄 Flip Rules (3-point reversal of the cumulative TrendScore) A flip occurs when the cumulative TrendScore reverses by 3 points in the opposite direction of the current trend. • Bullish Flip • Trigger: After a decline, the cumulative TrendScore rises by +3 from its down-leg. • Interpretation: Bulls have taken control. • Stop-loss: the lowest price of the prior (down) leg. • Bearish Flip • Trigger: After a rise, the cumulative TrendScore falls by –3 from its up-leg. • Interpretation: Bears have taken control. • Stop-loss: the highest price of the prior (up) leg. Flip bars are marked with ▲ (lime) for bullish and ▼ (red) for bearish. Note: If you prefer a different reversal distance, adjust the flip distance setting in the script’s inputs (default is 3). ⸻ 📏 Stop-Loss Lines • A dotted line is drawn at the prior leg’s extreme: Green (below price) after a bullish flip. Red (above price) after a bearish flip. • Options: Remove on touch for a clean chart. Freeze on touch to keep a visual record for journaling. • All stop lines are cleared at session end. ⸻ 🧮 Stats Table (what you see) • Trend: Bull / Bear / Neutral • Bars in Trend: Count since the flip bar • Since Flip: Current close minus flip bar close • Since SL: Current close minus active stop level • MFE-Maximum Favorable Excursion: Highest favorable move since flip • MAE-Maximum Adverse Excursion: Largest adverse move since flip Table colors reflect the current trend (green for bull, red for bear). ⸻ 📊 Trading Playbook Entries • Aggressive: Enter immediately on a flip marker. • Conservative: Wait for a small pullback that doesn’t violate the stop. Stops • Place the stop at the script’s flip stop-loss line (the prior leg extreme). Exits Choose one style and stick with it: • Stop-only: Exit when the stop is hit. • Time-based: Flatten at session close. • Targets: Scale/close at 1R, 2R. • Trailing: Trail behind minor swings once MFE > 1R. Ultimately Exit choice is your own edge, so you must decide for yourself. 💡 Best Practices • Skip the first few bars after the open (gap noise). • Use regular candles (Heikin-Ashi will distort highs/lows). • If you want fewer flips, increase the flip distance (e.g., 4 or 5). For more responsiveness, use 2. Otherwise, increase your time frame to 5m, 10m, 15m. • Keep SL lines frozen (not auto-removed) if you’re journaling.
Wskaźnik Pine Script®
od DeLeBlanc
3
Elliott Wave Rule EngineWhat this tool does The indicator scans price for two concurrent swing structures—a Small (shorter-degree) and a Large (higher-degree) set—then applies an Elliott/NeoWave rule engine to the most recent 5-swing motive (1-2-3-4-5) or 3-swing corrective (A-B-C). It produces: Blue lines for Small swings and Orange lines for Large swings. A rule dashboard (optional) showing PASS/FAIL/WARN for core rules & guidelines. Buy/Sell labels when (a) a valid motive completes and (b) loop “consensus,” alignment, and scoring gates are satisfied. Reading the chart Small swings: thin blue segments, built from your Small settings. Large swings: thicker orange segments, from your Large settings. Background tint: faint green when a motive (impulse/diagonal) is valid right now on Small. Labels (if enabled): “1…5” or “A-B-C” markers on the latest detected structure. Buy/Sell label at the last pivot when all gates pass; text may include a score %. How it works For both Small and Large degrees the script: - Loops over all (left, right) combinations you specify (e.g., Small Left = 3..6, Right = 0..0) and calls ta.pivothigh/low. - Aggregates the results: - Keeps the most extreme pivot found in the loop (highest high or lowest low) that’s newer than the last accepted swing. - Gates acceptance by minimum % change versus the last opposite swing (inside the loop) and a post-aggregation filter (Small Minimum swing %, Large Minimum swing %). - Merges back-to-back same-type swings (HH or LL) by keeping only the more extreme one. - Keeps only the last N=lookbackWaves swings (default 100). - Consensus (used for signals) comes from the loop counts: - sBuyConsensus = small L-count / total-combos (bullish bias) - sSellConsensus = small H-count / total-combos (bearish bias) (and the same for Large). This is a data-driven “how many combos agreed” measure. 2) Rule engine (Impulse/Diagonal vs. Corrective) When there are at least 6 Small swings, the engine tests 1-2-3-4-5: Hard rules (must pass for an Impulse): - Wave-2 not > 100% of Wave-1 (no retrace beyond start of W1). - Wave-3 not the shortest among 1,3,5. - Wave-4 doesn’t overlap Wave-1 (if it does, structure may be a Diagonal). - Diagonal eligibility: Rules 1 & 2 pass but Rule 3 fails ⇒ eligible as a Diagonal ( Guidelines (7 checks, count toward a threshold you set): - W2 retraces a Fib level (within ±fibTol). - W4 retraces a Fib level (within ±fibTol). - W3 strongest momentum (speed = |Δprice| / bars). - Alternation: W2 vs W4 have meaningfully different “sharpness” (price per bar), threshold altSlopeThr. - Proportion (Price): |W1| and |W3| within propTolP× each other. - Proportion (Time): W1W3 and W2W4 durations within propTolT×. - W5 weaker than W3 (momentum divergence proxy). A Motive is valid if: - Impulse: all 3 hard rules pass and guideline passes ≥ Min guideline passes. - Diagonal: diagonal-eligible and guideline passes ≥ Min guideline passes. - if motive fails, the engine still evaluates ABC as Zigzag and Flat to populate the table: - Zigzag: B shallower than ~0.618A; C ≈ A or 1.618A (±fibTol). - Flat: B ≥ ~0.9A; expanded flat if B > 1.0A and C in *A; “running” note if C < A. 3) Signal logic (consensus-gated & scored) Signals fire only on new Small pivots and only if a Small motive just validated:Direction comes from the motive’s W1 (up = bull, down = bear). Consensus checks (from the loop): Use Sell consensus if the last pivot is a High, or Buy consensus if it’s a Low.Require it ≥ Min SMALL loop consensus and ahead of the opposite side by at least Min consensus margin.If you also require Large quality: check the corresponding Large consensus ≥ Min LARGE loop consensus. Alignment: If Require small/large directional alignment is ON, Small and Large directions must match (or the Large motive must be complete). Score: - If Large not required: finalScore = smallConsensus × smallQuality. - If Large required: finalScore = smallConsensus × smallQuality × largeQuality. - Need finalScore ≥ Min final score. When all gates pass, you’ll see “Buy xx%” or “Sell xx%” at the pivot. Inputs (explained): - Smaller Wave Swing Detection (Looped) - Small Left Min / Max (default 3..6): ta.pivot* left widths to scan. - Small Right Min / Max (default 0..0): right widths to scan (0 = earliest confirmation). - Small Minimum swing % (post-aggregation) (0.3%): filters out tiny swings after the loop. - Larger Wave Swing Detection (Looped) - Large Left Min / Max (100..200) and Right Min/Max (0..0): higher-degree scan (defaults are big; adjust for intraday). - Large Minimum swing % (post-aggregation) (1.5%). - Loop Filters (inside the loop) - Small loop min % change (0.20%): a candidate pivot counts only if move vs. last opposite Small swing ≥ this. - Large loop min % change (1.50%): same idea for Large. Rule Engine Tolerances - Fibonacci tolerance (±%) (0.05 = 5%): closeness to Fib levels. -Same-degree TIME proportion max (x) (2.00×) and PRICE proportion max (x) (3.00×). - Alternation slope ratio threshold (0.10): higher = stricter alternation. - Min guideline passes (0–7) (5): threshold for motive validity. - Signal Probability (Loop Consensus) - Min SMALL loop consensus (0.60). - Min LARGE loop consensus (0.50) (used only if Large validation matters). - Min consensus margin vs opposite (0.10): e.g., 0.60 vs 0.45 fails (margin 0.15 passes). Require LARGE 1–5 valid (or diagonal) for signal (off by default). Min final score (0.20): gate on the composite score. Annotate label with score % (on). WARN (orange): guideline not met—pattern can still be valid if total passes ≥ Min guideline passes. FAQ Q: Why did I get a diagonal instead of an impulse? A: Wave-4 overlapped Wave-1 (Rule 3). If Rules 1 & 2 pass and guidelines meet your minimum, it’s eligible as a Diagonal. Q: Where do Buy/Sell labels come from? A: Only after a valid Small motive at a new pivot, and only if consensus, alignment, and final score gates pass (per your settings). Q: It “missed” a wave in hindsight. A: Pivots require right bars to confirm; extremely tight settings can filter that swing; adjust Small min % or ranges. Q: Are there repaints? A: No, It uses standard pivot confirmation; until a pivot is confirmed, recent swings can evolve. After confirmation, lines/labels are stable. Limitations & disclaimers Elliott/NeoWave rules are heuristics; markets are messy. Treat outputs as structured context, not certainty. Consensus is pattern-scan agreement, not probability of profit Not investment advice; always couple with risk management.
Wskaźnik Pine Script®
od Cmo22
3
XAU 0/5 GridThis indicator draws horizontal price grids for XAUUSD. It anchors the grid to a base price that ends with 0 or 5, then plots equally spaced levels every 5 price units above and below that base. It’s a clean way to eyeball fixed-interval structure for rough support/resistance zones and simple TP/SL planning. How it works Base (0/5): base = floor(close / 5) × 5 → forces the base to always end with 0/5. Grid levels: level_i = base + i × 5, where i is any integer (positive/negative). The script updates positions only when the base changes to avoid flicker and reduce chart load. It uses a persistent line array to manage the line objects efficiently. Usage Add the indicator to an XAUUSD chart on any timeframe. Configure in the panel: Show Lines – toggle visibility Lines each side – number of lines above/below the base Line Color / Line Width – appearance Use the grid as fixed reference levels (e.g., 3490, 3495, 3500, 3505, …) for planning TP/SL or observing grid breaks. Highlights Strict 0/5 anchoring keeps levels evenly spaced and easy to read on gold. Auto-reanchors when price moves to a new 0/5 zone, maintaining a steady view. Lightweight design: lines are created once and then updated, minimizing overhead. Limitations Visualization only — not a buy/sell signal. Spacing is fixed at 5 price units, optimized for XAUUSD. If used on other symbols/brokers with different tick scales, adjust the logic accordingly. Grid lines do not guarantee support/resistance; always combine with broader market context.
Wskaźnik Pine Script®
od INVERST_
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.
Wskaźnik Pine Script®
od Darkoin_trading
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
Wskaźnik Pine Script®
od Fractalyst
2
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.
Wskaźnik Pine Script®
od mks17
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.
Wskaźnik Pine Script®
od edwardflores194
[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.
Wskaźnik Pine Script®
od GrandAlgo
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.
Wskaźnik Pine Script®
od guilhermecapiba
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
Wskaźnik Pine Script®
od Serpico87
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.
Wskaźnik Pine Script®
od trading_zone42
Spreads CCC/BBB/AAA vs Treasury 10Y//@version=5 indicator("Spreads CCC/BBB/AAA vs Treasury 10Y", overlay=false) // Tickes de ejemplo (debes reemplazar con los que tengas disponibles en TradingView) ccc = request.security("XCCC", "D", close) // High Yield CCC bbb = request.security("LQD", "D", close) // Investment Grade BBB aaa = request.security("QLTA", "D", close) // AAA treasury = request.security("US10Y", "D", close) // US Treasury 10Y // Cálculo del spread (yield bono - yield Treasury) spread_ccc = ccc - treasury spread_bbb = bbb - treasury spread_aaa = aaa - treasury // Umbral para alerta de riesgo umbral = input.float(2.0, "Umbral spread (%)") // Plot de los spreads plot(spread_ccc, color=color.red, title="Spread CCC") plot(spread_bbb, color=color.orange, title="Spread BBB") plot(spread_aaa, color=color.green, title="Spread AAA") // Señal visual cuando el spread supera el umbral plotshape(spread_ccc > umbral, title="Alerta CCC", color=color.red, style=shape.triangledown, location=location.abovebar, size=size.tiny) plotshape(spread_bbb > umbral, title="Alerta BBB", color=color.orange, style=shape.triangledown, location=location.abovebar, size=size.tiny) plotshape(spread_aaa > umbral, title="Alerta AAA", color=color.green, style=shape.triangledown, location=location.abovebar, size=size.tiny)
Wskaźnik Pine Script®
od fitbazer
MultiSessions traderglobal.topEste indicador de sesiones está diseñado para traders intradía que desean visualizar con precisión la actividad y la volatilidad característica de cada mercado. Basado en Pine Script v5 y optimizado para la zona horaria “America/New_York”, divide el día en sub-sesiones configurables y resalta sus rangos de precio en tiempo real. En particular, incorpora tres bloques para New York (NY1, NY2, NY3), dos para Londres (LON1, LON2), dos para Tokio (TKO1, TKO2) y mantiene Sídney como sesión opcional. Cada bloque puede activarse o desactivarse de forma independiente y cuenta con su propio color ajustable, lo que permite construir mapas visuales claros para estrategias basadas en horario, solapamientos y micro-estructuras de mercado. El panel de inputs incluye la opción “Activate High/Low View”. Cuando está activada, el indicador calcula de manera incremental el mínimo y máximo de cada sub-sesión y sombrea el área entre ambos con fill, proporcionando una referencia inmediata del rango intrasesión (útil para medir compresión/expansión y posibles rompimientos). Cuando está desactivada, emplea un simple bgcolor por bloque, ideal para traders que prefieren un gráfico más limpio y solo desean distinguir visualmente los tramos horarios. La lógica central utiliza dos funciones auxiliares: is_session(sess), que detecta si la vela actual pertenece a un tramo horario concreto, e is_newbar(sess), que determina el inicio de una nueva barra de referencia según la resolución elegida (D, W o M). Gracias a esta combinación, en cada sub-sesión el indicador reinicia sus contadores de alto y bajo al comenzar el período y los actualiza vela a vela mientras el bloque siga activo. Este enfoque evita mezclas de datos entre sesiones y asegura que el rango que se muestra corresponda estrictamente al segmento horario configurado. Los horarios por defecto están pensados para Forex y contemplan casos que cruzan medianoche (por ejemplo, Tokio 2 y Sídney). Pine Script admite rangos como 2200-0200; no obstante, si tu bróker o la zona horaria del gráfico generan un sombreado parcial, basta con dividir el tramo en dos: 2200-2359 y 0000-0200. Asimismo, cada input.session incluye el patrón :1234567 para habilitar los siete días; puedes restringir días según tu operativa. En cuanto al uso práctico, el indicador facilita identificar: (1) la estructura del rango por sub-sesión (útil para estrategias de breakout/mean-reversion), (2) los solapamientos entre Londres y New York, donde suele concentrarse la liquidez, y (3) períodos de menor volatilidad (tramos tardíos de Asia o previos a noticias). El color independiente por bloque te permite codificar visualmente la importancia o tu plan de trading (por ejemplo, tonos más intensos en ventanas de alta probabilidad). Finalmente, su diseño modular hace sencilla la personalización: puedes ajustar colores, activar/desactivar bloques, cambiar horarios y modificar la resolución de reseteo del rango. Como posible mejora, se pueden añadir alertas de ruptura de máximos/mínimos de sub-sesión o etiquetas con la altura del rango (pips) al cierre. Este indicador no sustituye el juicio del trader ni constituye recomendación financiera, pero ofrece una base visual robusta para integrar el factor tiempo en la toma de decisiones. This sessions indicator is built for intraday traders who want a precise, time-aware view of market activity and typical volatility patterns across the day. Written in Pine Script v5 and optimized for the “America/New_York” timezone, it divides the trading day into configurable sub-sessions and highlights their price ranges in real time. Specifically, it provides three blocks for New York (NY1, NY2, NY3), two for London (LON1, LON2), two for Tokyo (TKO1, TKO2), and keeps Sydney as an optional session. Each block can be enabled or disabled independently and comes with its own adjustable color, letting you build clear visual maps for time-based strategies, overlaps, and microstructure nuances. In the inputs panel you’ll find the “Activate High/Low View” option. When enabled, the indicator incrementally computes each sub-session’s low and high and shades the area between them with fill, giving you an immediate reference to the intra-session range (useful for gauging compression/expansion and potential breakouts). When disabled, it switches to a clean bgcolor background by block—ideal if you prefer a minimal chart and simply want to distinguish time windows at a glance. The core logic relies on two helper functions: is_session(sess), which detects whether the current bar falls within a given time window, and is_newbar(sess), which identifies the start of a new reference bar according to your chosen reset resolution (D, W, or M). With this combination, each sub-session resets its high/low at the beginning of the period and updates them bar by bar while the block remains active. This prevents cross-contamination between sessions and ensures the range you see belongs strictly to the configured segment. Default hours are suited to Forex and include segments that cross midnight (e.g., Tokyo 2 and Sydney). Pine Script supports ranges like 2200-0200; however, if your broker or chart timezone causes partial shading, simply split the segment into two: 2200-2359 and 0000-0200. Each input.session uses the :1234567 suffix to enable all seven days; you can easily restrict days to match your plan. Practically speaking, the indicator helps you identify: (1) range structure by sub-session (great for breakout or mean-reversion frameworks), (2) overlaps between London and New York, where liquidity and directional moves often concentrate, and (3) lower-volatility windows (late Asia or pre-news lulls). Independent colors per block let you visually encode priority or your trading plan (for example, richer tones in high-probability windows). Thanks to its modular design, customization is straightforward: adjust colors, toggle blocks, change hours, and tweak the range-reset resolution to suit your routine. As a natural extension, you can add alerts for sub-session high/low breakouts or labels that display the range height (in pips) at session close. While no indicator replaces trader judgment or constitutes financial advice, this tool offers a robust visual foundation for incorporating the time factor directly into your decision-making, helping you contextualize price action within the rhythm of global trading sessions.
Wskaźnik Pine Script®
od traderglobaltop