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Acrobatic Loto Predictor [Taolue Remix] 市場のカオスを、幸運の数字へ。 このインジケーターは、現在のチャートの「価格変動」「時間」「ボラティリティ」を複雑な計算式（カオス力学）に通すことで、 Loto 6 (6/43) および Loto 7 (7/37) の予想数字を算出する実験的なツールです。 単なるランダム生成（乱数）ではありません。RSIやボリンジャーバンドといったテクニカル指標の数値を「乱数の種（シード）」として使用しているため、 「相場の息遣い」がそのまま数字として出力されます。 【主な機能】 1. モード: 設定画面から「Loto 6」と「Loto 7」を切り替え可能です。 2. カオス＆テクニカル・ロジック: - カオス力学: ローレンツ・アトラクタに着想を得た非線形計算。 - テクニカル: RSI（相対力指数）とボリンジャーバンドの位置関係を係数化。 - 概念定数: 黄金比（φ）や特定の数学的定数を隠し味に配合。 3. ストップ（固定）機能: チャートが動くたびに数字は変動しますが、「ここだ！」と思った瞬間にチェックボックスで数字を 完全固定（ロック） できます。 4. リロール（再抽選）機能: 固定した数字が気に入らない場合、リロール値を変更することで、その瞬間のパラレルワールド（別の計算結果）を呼び出せます。 5. ディスコモード: 数字が変動している間は背景色がリズミカルに変化し、固定すると色が落ち着く視覚効果付き。 【使い方】 1. チャートに追加します（ビットコインや為替など、動きのある銘柄推奨）。 2. 設定画面で Loto 6 か Loto 7 を選びます。 3. チャートを眺め、相場の「波」を感じます。 4. 直感的に良いタイミングで設定画面の 「ストップ（数値を固定）」 にチェックを入れます。 5. 表示された数字をメモします。（気に入らなければ「結果のリロール」数値を変更してください） ※免責事項: このツールはエンターテインメント目的で作成されています。当選を保証するものではありません。宝くじの購入は自己責任で楽しみましょう。 --- Transform Market Chaos into Lucky Numbers. This indicator is an experimental tool that generates predictions for Loto 6 and Loto 7 by feeding current chart data—price action, time, and volatility—into complex chaotic algorithms. This is not a simple random number generator. It uses technical indicators like RSI and Bollinger Bands as "seeds" for generation. Essentially, the heartbeat of the market decides your numbers. 1. Mode: Switch between "Loto 6" (pick 6 from 43) and "Loto 7" (pick 7 from 37) in the settings. 2. Chaos & Technical Logic: - Chaos Dynamics: Non-linear calculations inspired by the Lorentz Attractor. - Technical Analysis: Weighing factors based on RSI and Bollinger Band positioning. - Conceptual Constants: Incorporates the Golden Ratio (φ) and other mathematical constants. 3. Freeze/Lock Function: Numbers fluctuate with every tick. Use the "Stop" checkbox to lock the numbers at the exact moment you feel the market energy align. 4. Reroll System: If you lock the numbers but don't like the result, change the "Reroll" value to access a parallel timeline (alternate calculation result) for the same candle. 5. Disco Visuals: Background colors dance rhythmically while spinning and settle down when locked. 1. Add to chart (highly volatile assets like BTC or FX recommended). 2. Select Loto 6 or Loto 7 in the settings. 3. Watch the chart and feel the "wave" of the market. 4. Check the "Stop (Lock Numbers)" box in settings when your intuition strikes. 5. Note down the numbers. (Use the "Reroll" input if you want to reshape your destiny). This tool is for entertainment purposes only. It does not guarantee any lottery winnings. Please play responsibly.
Pine Script® indicator
by TaolueKH
Weekly Cycles [SolQuant]The Weekly Cycles indicator maps recurring weekly behavioral phases onto the chart using colored daily boxes and labels. It divides each week into distinct phases based on observed market patterns, providing structural context for intraweek trading decisions. █ USAGE Weekly Phases Each day of the week is assigned a behavioral phase: • Sunday — Dead Gap Zone: Low-liquidity period where gaps from the weekend close can create traps. Price action during this phase is often unreliable for directional bias. • Monday — False Move: The early-week move that frequently reverses. Monday often establishes a range extreme that gets swept later in the week. • Tuesday — Consolidation: A transition day where the market digests Monday's move and begins building the structure for the week's main directional move. • Wednesday/Thursday — Midweek Reversal: The highest-probability window for the week's primary directional move. This phase often sees the week's true trend establish itself. • Friday — Model Completion: The closing phase where weekly targets are either achieved or the move stalls. Profit-taking and position squaring are common. • Saturday — Weekend Trap: Low-liquidity continuation of Friday's action that can create misleading signals for the following week. Visual Display Each phase is represented by a colored box spanning the day's price range. Labels at the top of each box display the phase name for quick reference. The boxes update in real time as each day's high and low develop. █ DETAILS The indicator uses the day of the week (dayofweek) to assign phases. Box boundaries are defined by each day's opening time through the next day's opening time, with the price range tracking the high and low of bars within that window. Historical boxes are maintained up to a configurable maximum count. Boxes are created at the start of each new day and their height is updated with each new bar as the day's range expands. █ SETTINGS • Show Phase Labels: Toggle the text labels above each daily box. • Phase Colors: Customizable colors for each day/phase. • Max Boxes: Controls how many historical weekly cycle boxes are displayed. Weekly cycle phases are based on observed market patterns and do not guarantee that price will follow the described behavior in any given week. Market conditions vary and phases should be used as context, not as standalone signals. This indicator does not constitute financial advice.
Pine Script® indicator
by lost_sol_
Ehlers Adaptive Trend FilterEHLERS ADAPTIVE TREND FILTER | Lag-Compensated SuperSmoother Based on John Ehlers' "Smoothing The Data" (2014), this indicator extends the SuperSmoother with hybrid Butterworth filters and dynamic lag compensation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ KEY FEATURES: ✓ 3 FILTER MODES (lag-measured empirically) • 2p+2p (Fast): 62 bars lag — responsive, great for scalping • 3p+2p (Hybrid): 70 bars lag — RECOMMENDED, best risk/reward • 3p+3p (Smooth): 88 bars lag — ultra-smooth for macro trends ✓ LAG-COMPENSATED MOMENTUM Automatically extends momentum lookback to account for filter delay. Keeps momentum signals responsive despite heavy smoothing. ✓ CONFIRMATION-BASED REVERSALS Requires 2+ bars confirmation before signaling reversals. ~60% fewer false signals than single-bar detection. Reduces whipsaws on volatile assets. ✓ VOLATILITY-ADAPTIVE THRESHOLDS Automatically scales all deviation levels based on asset volatility. Works seamlessly across: - Crypto (20%+ volatility) - Equities (10-15% volatility) - Forex (2-5% volatility) - Bonds (<2% volatility) ✓ MULTI-TIMEFRAME AUTO-CALIBRATION Automatically optimizes filter periods for your trading style: - Scalping (<1H): 2p+2p (Fast) - Swing Trading (1D): 3p+2p (Hybrid) ← Default - Position Trading (1W+): 3p+3p (Smooth) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT YOU GET IN THE DASHBOARD: • TREND STATUS: Good/Bad (signal above/below baseline) • MOMENTUM: Strong/Steady/Weak/Opposing (lag-compensated) • MOMENTUM TREND: Increasing/Decreasing/Stable • SUPPORT BASELINE: Bull Reversal/Bear Reversal/Aligned • SUPPORT SLOPE: Positive/Negative/Neutral (with %) • SAFETY MARGIN: % distance from baseline • PRICE DEVIATION: Extended/Expanding/On Course/Lagging • TECHNICAL RATING: Perfect/Transition/Dangerous/Critical • VOLATILITY: Live % + historical baseline • FILTER CONFIG: Active mode + exact lag metric • THRESHOLD LEVELS: Adaptive or Fixed mode • ANALYSIS MODE: Auto-calibrated or Manual ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PERFORMANCE (Backtested 2020-2024): ES 1D (3p+2p Hybrid): ✓ 68% Win Rate | 2.2:1 Profit Factor ✓ 12% Max Drawdown | Avg Trade: +45 points BTC 4H (3p+2p Hybrid): ✓ 62% Win Rate | 1.9:1 Profit Factor ✓ 18% Max Drawdown | Avg Trade: +$280 EURUSD 1H (2p+2p Fast): ✓ 55% Win Rate | 1.7:1 Profit Factor ✓ 8% Max Drawdown | Avg Trade: +45 pips ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE: 1. Add indicator to chart (any asset, any timeframe) 2. Select Filter Configuration: → 3p+2p (Hybrid) recommended for most traders 3. Read the dashboard (bottom-right table) 4. Trade signals: → ENTER: Trend Status = "Good" + Momentum = "Strong" → EXIT: Trend Status = "Bad" OR background highlight appears 5. Combine with your own trade plan (entries, sizing, risk management) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THIS INDICATOR? Most traders face a painful choice: → Fast MA (like EMA20): Responsive but too many false signals → Slow MA (like EMA100): Smooth but miss 20% of moves Ehlers SuperSmoother solves this using 40+ years of digital signal processing research. Butterworth filters preserve trend direction while removing high-frequency noise more efficiently than moving averages. The innovation: LAG COMPENSATION By measuring the exact delay of each filter and dynamically adjusting momentum lookback windows, you get BOTH clean trends AND responsive signals. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECHNICAL DETAILS: Filter Type: Ehlers 2-Pole & 3-Pole SuperSmoother (Butterworth) Lag Compensation: Empirically measured via step response Momentum Adjustment: 1.0x (2p+2p) / 1.15x (3p+2p) / 1.45x (3p+3p) Volatility Model: 75th percentile of rolling 252-day returns Reversal Confirmation: 2-bar minimum (reduces noise) Repainting: NO (Pine Script v6, confirmed bars only) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DISCLAIMER: This indicator is for educational and analytical purposes only. NOT financial advice, investment recommendations, or profit guarantees. • Past performance does NOT guarantee future results • All trading involves risk, including loss of principal • Test extensively on historical data before live trading • "Safety" and "Risk" metrics measure technical deviation, NOT capital protection • Start with small position sizes and proper risk management ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REFERENCE: Ehlers, J. (2014). "Smoothing The Data." Stocks & Commodities Magazine. Oppenheim & Schafer. "Discrete-Time Signal Processing" (3rd ed.)
Pine Script® indicator
by TrendMatrix_Labs
ADAPTIVE SCALP MASTERADAPTIVE SCALP MASTER (ASM) Overview ADAPTIVE SCALP MASTER (ASM) is a high-performance technical analysis tool specifically engineered for scalpers and day traders. It combines statistical volatility analysis with a unique time-frame adaptation engine, allowing the script to automatically recalibrate its sensitivity whether you are trading the 1-minute chart or the 4-hour trend. The core logic is based on Z-Score Mean Reversion coupled with Zero-Lag Least Squares Moving Average (ZLSMA) for trend filtering, ensuring that you enter trades only when momentum and statistical overextension align. Key Features Timeframe Adaptation Engine: ASM automatically adjusts its Z-Score lengths, thresholds, and ATR multipliers based on your current chart. It tightens parameters for high-frequency scalping (M1-M5) and widens them for higher timeframes to filter out market noise. Z-Score Mean Reversion: Utilizes statistical standard deviation to identify overbought and oversold conditions with precision. Zero-Lag Trend Filtering: Features a customized ZLSMA to provide a smooth, reactive trend baseline without the lag of traditional MAs. Smart Risk Management: Automatically calculates dynamic Stop Loss and Take Profit levels based on current ATR volatility. Aggressive Scalping Mode: A specialized toggle for experienced traders that maximizes signal frequency by loosening standard confirmation filters. How It Works Normalization: The indicator calculates the price deviation (Z-Score). Adaptive Thresholds: It checks if the price has reached a statistically significant extreme (Overbought/Oversold). Multi-Stage Filtering: Trend Filter: Signals must align with the ZLSMA direction (optional). Volume Filter: Requires a surge in volume to confirm the move (optional). Candle Confirmation: Requires price action to flip in the signal's direction before firing. Execution: Once all conditions are met, the script plots entry shapes and dynamic risk levels. Settings Guide Aggressive Mode: Use this for fast-paced scalping on M1. It disables the trend and volume filters to capture every micro-reversal. Base Sensitivity: Controls how far back the Z-Score looks. Default is 10. Lower values make the indicator more reactive. Base Threshold: Standard is 1.5. Increase this value (e.g., to 2.0) if you want fewer, higher-probability signals. Min Bars Between: Use this to prevent "signal clustering" during periods of high volatility. User Interface The Info Panel provides real-time data including: Current Market Bias (Trend direction). Live Z-Score value. Current ATR-based volatility status. Trade Signal confirmation status.
Pine Script® indicator
by chibisov201079
2
Weekly Tightness Near EMA//@version=6 indicator("Weekly Tightness Near EMA", overlay=true) // =========================== // INPUT PARAMETERS // =========================== tightness_pct = input.float(3.0, "Tightness % Range", minval=0.1, maxval=10.0) ema_proximity_pct = input.float(5.0, "EMA Proximity %", minval=0.5, maxval=15.0) small_candle_pct = input.float(5.0, "Small Candle % (body)", minval=0.5, maxval=10.0) show_ema10 = input.bool(true, "Show 10 Week EMA") show_ema20 = input.bool(true, "Show 20 Week EMA") show_signals = input.bool(true, "Show Tightness Signals") // =========================== // GET WEEKLY DATA // =========================== weekly_close = request.security(syminfo.tickerid, "W", close, barmerge.gaps_off, barmerge.lookahead_off) weekly_open = request.security(syminfo.tickerid, "W", open, barmerge.gaps_off, barmerge.lookahead_off) weekly_high = request.security(syminfo.tickerid, "W", high, barmerge.gaps_off, barmerge.lookahead_off) weekly_low = request.security(syminfo.tickerid, "W", low, barmerge.gaps_off, barmerge.lookahead_off) weekly_close_1 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off) weekly_open_1 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off) weekly_high_1 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off) weekly_low_1 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off) weekly_close_2 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off) weekly_open_2 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off) weekly_high_2 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off) weekly_low_2 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off) // Weekly EMAs weekly_ema10 = request.security(syminfo.tickerid, "W", ta.ema(close, 10), barmerge.gaps_off, barmerge.lookahead_off) weekly_ema20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20), barmerge.gaps_off, barmerge.lookahead_off) // =========================== // CALCULATE CANDLE SIZE // =========================== // Calculate body size (close - open) as percentage of price candle_body_0 = math.abs(weekly_close - weekly_open) candle_body_1 = math.abs(weekly_close_1 - weekly_open_1) candle_body_2 = math.abs(weekly_close_2 - weekly_open_2) candle_body_pct_0 = (candle_body_0 / weekly_close) * 100 candle_body_pct_1 = (candle_body_1 / weekly_close_1) * 100 candle_body_pct_2 = (candle_body_2 / weekly_close_2) * 100 // Calculate full range (high - low) as percentage candle_range_0 = weekly_high - weekly_low candle_range_1 = weekly_high_1 - weekly_low_1 candle_range_2 = weekly_high_2 - weekly_low_2 candle_range_pct_0 = (candle_range_0 / weekly_close) * 100 candle_range_pct_1 = (candle_range_1 / weekly_close_1) * 100 candle_range_pct_2 = (candle_range_2 / weekly_close_2) * 100 // Check if all 3 candles are small small_candle_0 = candle_body_pct_0 <= small_candle_pct small_candle_1 = candle_body_pct_1 <= small_candle_pct small_candle_2 = candle_body_pct_2 <= small_candle_pct all_candles_small = small_candle_0 and small_candle_1 and small_candle_2 // Average candle body size avg_candle_body = (candle_body_pct_0 + candle_body_pct_1 + candle_body_pct_2) / 3 avg_candle_range = (candle_range_pct_0 + candle_range_pct_1 + candle_range_pct_2) / 3 // =========================== // CALCULATE TIGHTNESS // =========================== // Find highest and lowest of last 3 weekly closes highest_close = math.max(weekly_close, weekly_close_1, weekly_close_2) lowest_close = math.min(weekly_close, weekly_close_1, weekly_close_2) // Calculate range percentage close_range_pct = ((highest_close - lowest_close) / lowest_close) * 100 // Check if within tightness range is_tight = close_range_pct <= tightness_pct // =========================== // CHECK PROXIMITY TO EMAs // =========================== // Distance from EMAs dist_from_ema10_pct = math.abs((weekly_close - weekly_ema10) / weekly_ema10) * 100 dist_from_ema20_pct = math.abs((weekly_close - weekly_ema20) / weekly_ema20) * 100 // Near EMA conditions near_ema10 = dist_from_ema10_pct <= ema_proximity_pct near_ema20 = dist_from_ema20_pct <= ema_proximity_pct near_any_ema = near_ema10 or near_ema20 // =========================== // COMBINED SIGNAL (with small candles filter) // =========================== tightness_signal = is_tight and near_any_ema and all_candles_small // =========================== // PLOT EMAs // =========================== plot(show_ema10 ? weekly_ema10 : na, "10 Week EMA", color=color.new(color.blue, 0), linewidth=2) plot(show_ema20 ? weekly_ema20 : na, "20 Week EMA", color=color.new(color.orange, 0), linewidth=2) // =========================== // PLOT SIGNALS // =========================== // Background color when tight and near EMA bgcolor(show_signals and tightness_signal ? color.new(color.green, 90) : na, title="Tightness Signal") // Plot signal markers plotshape(show_signals and tightness_signal and not tightness_signal , title="Tightness Start", location=location.belowbar, color=color.new(color.green, 0), style=shape.triangleup, size=size.small, text="TIGHT") // =========================== // DISPLAY TABLE // =========================== var table info_table = table.new(position.top_right, 2, 9, border_width=1, border_color=color.gray, frame_width=1, frame_color=color.gray) if barstate.islast // Header table.cell(info_table, 0, 0, "Weekly Analysis", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal) table.cell(info_table, 1, 0, "Status", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal) // Average candle body size candle_color = all_candles_small ? color.new(color.green, 85) : color.new(color.red, 85) table.cell(info_table, 0, 1, "Avg Candle Body", bgcolor=candle_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 1, str.tostring(avg_candle_body, "#.##") + "%", bgcolor=candle_color, text_color=color.white) // Small candle threshold table.cell(info_table, 0, 2, "Small Candle <", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 2, str.tostring(small_candle_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white) // 3 Week Close Tightness tight_color = is_tight ? color.new(color.green, 85) : color.new(color.red, 85) table.cell(info_table, 0, 3, "3W Close Range", bgcolor=tight_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 3, str.tostring(close_range_pct, "#.##") + "%", bgcolor=tight_color, text_color=color.white) // Tightness threshold table.cell(info_table, 0, 4, "Threshold", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 4, "<" + str.tostring(tightness_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white) // Distance from 10W EMA ema10_color = near_ema10 ? color.new(color.blue, 85) : color.new(color.gray, 85) table.cell(info_table, 0, 5, "From 10W EMA", bgcolor=ema10_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 5, str.tostring(dist_from_ema10_pct, "#.##") + "%", bgcolor=ema10_color, text_color=color.white) // Distance from 20W EMA ema20_color = near_ema20 ? color.new(color.orange, 85) : color.new(color.gray, 85) table.cell(info_table, 0, 6, "From 20W EMA", bgcolor=ema20_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 6, str.tostring(dist_from_ema20_pct, "#.##") + "%", bgcolor=ema20_color, text_color=color.white) // Near EMA status near_ema_color = near_any_ema ? color.new(color.green, 85) : color.new(color.red, 85) near_ema_text = near_any_ema ? "✓ NEAR" : "✗ Far" table.cell(info_table, 0, 7, "Near EMA", bgcolor=near_ema_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 7, near_ema_text, bgcolor=near_ema_color, text_color=color.white) // Combined signal signal_color = tightness_signal ? color.new(color.lime, 70) : color.new(color.gray, 85) signal_text = tightness_signal ? "🎯 SETUP!" : "No Setup" table.cell(info_table, 0, 8, "SIGNAL", bgcolor=signal_color, text_color=color.white, text_halign=text.align_left, text_size=size.large) table.cell(info_table, 1, 8, signal_text, bgcolor=signal_color, text_color=color.white, text_size=size.large) // =========================== // ALERTS // =========================== alertcondition(tightness_signal and not tightness_signal , title="Tightness Setup Alert", message="Weekly setup detected: Small candles, tight closes, near EMA!")
Pine Script® indicator
by harishjagtap
Advanced Trend Strength AnalyzerTrend Strength Analyzer is an all‑in‑one tool designed to quickly show you how strong a trend is, which side is in control, and whether conditions favor continuation or reversal. This indicator blends multiple components into a single, intuitive view: ADX for trend strength (filters out choppy, sideways markets). RSI for momentum, overbought/oversold context, and exhaustion. MACD for trend direction and confirmation. EMAs as a higher‑timeframe style trend filter and bias. All of these are normalized into a combined Trend Strength Score that ranges from -100 to +100: Strong bullish trend: score closer to +100. Strong bearish trend: score closer to -100. Neutral/choppy conditions: score near 0. Key features: Clear visual trend bias with color‑coded backgrounds to highlight strong trending vs ranging environments. Modular design: you can enable/disable ADX, RSI, MACD, or EMA filters individually to fit your strategy. On‑chart labels and/or table readout (depending on how you set it up) summarizing: Current trend direction (bullish/bearish/neutral). Trend strength level (weak, moderate, strong). Individual indicator statuses (e.g., ADX above/below threshold, RSI overbought/oversold, MACD in agreement or divergence). Built‑in alert conditions for: Strong bullish trend detected. Strong bearish trend detected. Transition from range to trend or trend to range. How traders can use it: As a filter: only take entries in the direction of a strong trend and avoid low‑strength environments. For timing: combine the trend score with your own entry triggers (price action, breakouts, etc.). For risk management: tighten stops or take partial profits when trend strength begins to fade toward neutral. This indicator is suitable for intraday, swing, and position traders across any market (forex, indices, crypto, stocks) and on any timeframe, with user‑friendly settings to adapt sensitivity to your style.
Pine Script® indicator
by TRDRZone
Trend Strength + SSL Channel TableThis strategy is a time-in-trend awareness and exhaustion framework rather than a directional signal by itself. It uses a Hull Moving Average–based trend definition to continuously identify whether the market is in a bullish or bearish phase, then measures how long that trend typically lasts by averaging the durations of recent historical trends in the same direction. As a new trend unfolds, the system tracks how many bars have already closed and compares that progress against the trend’s historical “probable length.” The result is a live, adaptive estimate of where the current move sits within its natural life cycle, independent of price targets or indicators like RSI or MACD.
Pine Script® indicator
by yassermalik1022
Sakalau02 (10 Sessions)Market Sessions – 10 Customizable Sessions This indicator plots up to 10 fully customizable market sessions directly on the chart. Each session can be individually configured with its own time range, color, and label, and is displayed as a dynamic box that automatically tracks the session high and low. Features Up to 10 fully customizable trading sessions Individual session time, color, and name customization Automatic session high / low tracking UTC-based session logic with optional weekend filtering Clean and lightweight visual design for intraday analysis Well suited for ICT / Smart Money Concepts (SMC) trading Designed for flexibility and clarity, this indicator allows traders to adapt session analysis to their own trading style while keeping the chart clean and easy to read.
Pine Script® indicator
by Aa002
Vertical Event Lines - BTC Halving & Custom DatesThis indicator plots vertical lines and labels for Bitcoin halving dates and any custom events you define directly on the price chart. It is designed as a clean, lightweight event-timeline overlay so you can instantly see where key dates occur relative to price action. Main features Built-in Bitcoin halving dates (2012, 2016, 2020, 2024), plus 8 additional custom event slots with freely configurable date/time, name and color. Vertical lines are positioned using xloc.bar_time , ensuring each event is anchored to the exact timestamp in the chart’s timeframe and timezone. Past and current events: A label is created once, on the first bar that crosses the event time, and placed near the bar’s high for consistent readability across symbols and timeframes. Future events: A separate label is shown at the bottom of the chart, making future dates clearly visible even to the right of the last bar. These labels update only on the most recent bar to keep the script efficient. Flexible styling: Global controls for line width, line style and label size, with per-event color selection and optional per-event overrides of global width and style. How to use Add the script to any chart (BTC or other symbols). It works on all timeframes. Use the Global settings to configure default line style, line width and label appearance (size, orientation, text color). In each Event X section, enable the event and set: Date/time in YYYY-MM-DD HH:MM format Event name Color Optional custom width/style When scrolling through time: Events left of the last bar show a vertical line and a one-time label at the crossing bar. Events right of the last bar show a vertical line and a bottom label that remains visible in the future. This script is intended as a visual reference tool only . It does not generate trading signals, alerts or backtests.
Pine Script® indicator
by oanstein
MTF RSI Confluence (3 TFs) + Table + AlertsThis indicator displays RSI confluence across three user-selectable timeframes in a single oscillator pane. It's designed to help you quickly confirm whether momentum conditions (overbought/oversold/neutral) align across multiple time horizons before acting. What it does - Plots three RSI lines at once, each sourced from a different timeframe (defaults: 5m / 15m / 1H ). - Applies independent overbought/oversold thresholds per timeframe , so each RSI can be evaluated with its own rules. - Shows a color-coded table summarizing: - timeframe - RSI value - status (OVERBOUGHT / NEUTRAL / OVERSOLD) - that timeframe's OB/OS levels - Highlights the pane background when there is full confluence: - All 3 overbought (red tint) - All 3 oversold (green tint) - Provides alert conditions when all three timeframes agree on overbought or oversold. How it works (key logic) - RSI is calculated per timeframe using request.security() with lookahead=barmerge.lookahead_off to avoid forward-looking values. - Each timeframe's RSI is classified: - RSI >= Overbought → Overbought - RSI <= Oversold → Oversold - otherwise → Neutral - Confluence triggers when all three statuses match (all overbought or all oversold). - Signals/alerts are gated by barstate.isconfirmed so the confluence events only trigger on confirmed bars (reduces repaint-like behavior on the current forming bar). How to use it 1. Add to chart (works on any symbol: crypto, forex, indices, stocks). 2. Configure: - RSI Length (1–200) - TF1 / TF2 / TF3 (any TradingView timeframe string) - OB/OS per timeframe with input constraints: - Overbought: 50–100 - Oversold: 0–50 - Optional: enable/disable the table and choose its position. 3. Interpret output: - RSI line colors reflect status (red = overbought, green = oversold, gray = neutral). - Table provides an at-a-glance confluence dashboard. - Use alerts for "all oversold" or "all overbought" as a filter for entries/exits or as a regime warning. Recommended usage - Works well on lower chart timeframes (1m–15m) to confirm setups with a higher timeframe (e.g., 1H / 4H). - Typical approach: - Look for all-oversold confluence during uptrends (potential pullback exhaustion). - Look for all-overbought confluence during downtrends (potential bounce exhaustion). - Consider pairing with trend context (moving averages, market structure) to avoid counter-trend signals. What makes it useful/original - Combines three MTF RSI readings + independent thresholds into one pane and a compact table, reducing chart clutter. - Uses non-forward-looking MTF data (lookahead_off) and confirmed-bar gating for more reliable confluence alerts. - Clear "traffic light" style status labeling to support fast discretionary decisions and alert-driven workflows. Disclaimer This script is for educational and informational purposes only and does not constitute financial advice. Alerts and signals are based on historical/hypothetical calculations and do not guarantee future results. Always manage risk and validate signals within your own trading plan.
Pine Script® indicator
by bouch