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指标和策略

Rotating Messages (Rules or Motivational)This lightweight utility indicator allows you to display rotating custom text messages directly on your TradingView chart — perfect for reminders, trading rules, motivational quotes, or session notes. You can define multiple messages separated by semicolons (;) or new lines, and the indicator will automatically cycle through them based on time or bar count. Ideal for traders who want visual cues without cluttering the chart. ⚙️ Main Features ⏱ Time-based or bar-based rotation — switch messages every X seconds (real-time) or X bars (historical/backtest mode). 📍 Flexible positioning — choose between Top Right, Bottom Right, or Bottom Center. 📏 Vertical offset — move text up or down for perfect placement on your chart. 🎨 Custom styling — set text color, background color, border visibility, and text size. ✍️ Simple message input — enter your rules or quotes in a text box with support for multi-line messages.
Pine Script®指标
由exozeon提供
Analog Flow [KedArc Quant]Overview AnalogFlow is an advanced analogue based market projection engine that reconstructs future price tendencies by matching current price behavior to historical analogues in the same instrument. Instead of using traditional indicators such as moving averages, RSI, or regression, AnalogFlow applies pattern vector similarity analysis - a data driven technique that identifies historically similar sequences and aggregates their subsequent movements into a smooth, forward looking curve. Think of it as a market memory system: If the current pattern looks like one we have seen before, how did price move afterward? Why AnalogFlow Is Unique 1. Pattern centric - it does not rely on any standard indicator formula; it directly analyzes price movement vectors. 2. Adaptive - it learns from the same instrument's past behavior, making it self calibrating to volatility and regime shifts. 3. Non repainting - the projection is generated on the latest completed bar and remains fixed until new data is available. 4. Noise resistant - the EMA Blend engine smooths the projected trajectory, reducing random variance between analogues. Inputs and Configuration Pattern Bars Number of bars in the reference pattern window: 40 Projection Bars Number of bars forward to project: 30 Search Depth Number of bars back to look for matching analogues: 600 Distance Metric Comparison method: Euclidean, Manhattan, or Cosine (default Euclidean) Matches Number of top analogues to blend (1-5): Top 3 Build Mode Projection type: Cumulative, MeanStep, or EMA Blend (default EMA Blend) EMA Blend Length Smoothness of the projected path: 15 Normalize Pattern Enable Z score normalization for shape matching: true Dissimilarity Mode If true, finds inverse analogues for mean reversion analysis: false Line Color and Width Style settings for projection curve: Blue, width 2 How It Works with Past Data 1. The system builds a memory bank of patterns from the last N bars based on the scanDepth value. 2. It compares the latest Pattern Bars segment to each historical segment. 3. It selects the Top K most similar or dissimilar analogues. 4. For each analogue, it retrieves what happened after that pattern historically. 5. It averages or smooths those forward moves into a single composite forecast curve. 6. The forecast (blue line) is drawn ahead of the current candle using line.new with no repainting. Output Explained Blue Path The weighted mean future trajectory based on historical analogues. Smoother when EMA Blend mode is enabled. Flat Section Indicates low directional consensus or equilibrium across analogues. Upward or Downward Slope Represents historical tendency toward continuation or reversal following similar conditions. Recommended Timeframes Scalping / Short Term 1m - 5m : Short winLen (20-30), small ahead (10-15) Swing Trading 15m - 1h : Balanced settings (winLen 40-60, ahead 20-30) Positional / Multi Day 4h - 1D : Large windows (winLen 80-120, ahead 30-50) Instrument Compatibility Works seamlessly on: Stocks and ETFs Indices Cryptocurrency Commodities (Gold, Crude, etc.) Futures and F&O (both intraday and positional) Forex No symbol specific calibration needed. It self adapts to volatility. How Traders Can Use It Forecast Context Identify likely short term price path or drift direction. Reversal Detection Flip seekOpp to true for mean reversion pattern analysis. Scenario Comparison Observe whether the current regime tends to continue or stall. Momentum Confirmation Combine with trend tools such as EMA or MACD for directional bias. Backtesting Support Compare projected path versus realized price to evaluate reliability. FAQ Q1. Does AnalogFlow repaint? No. It calculates only once per completed bar and projects forward. The future path remains static until a new bar closes. Q2. Is it a neural network or AI model? Not in the machine learning sense. It is a deterministic analogue matching engine using statistical distance metrics. Q3. Why does the projection sometimes flatten? That means similar historical setups had no clear consensus in direction (neutral expectation). Q4. Can I use it for live trading signals? AnalogFlow is not a signal generator. It provides probabilistic context for upcoming movement. Q5. Does higher scanDepth improve accuracy? Up to a point. More depth gives more analogues, but too much can dilute recency. Try 400 to 800. Glossary Analogue A past pattern similar to the current price behavior. Distance Metric Mathematical formula for pattern similarity. Step Vector Difference between consecutive closing prices. EMA Blend Exponential smoothing of the projected path. Cumulative Mode Adds sequential historical deltas directly. Z Score Normalization Rescaling to mean 0 and variance 1 for shape comparison. Summary AnalogFlow converts the market's historical echoes into a structured, statistically weighted forward projection. It gives traders a contextual roadmap, not a signal, showing how similar past setups evolved and allowing better informed entries, exits, and scenario planning across all asset classes. Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and proper risk management when applying this strategy.
Pine Script®指标
由kedarcquant提供
Position Sizer (Share Qty) This indicator enables fast & accurate position sizing for traders using (user defined) fixed dollar risk, eliminating the need for manual calculations and supporting disciplined risk management directly on the chart Calculates precise share quantity for fixed-risk trades using the formula Shares = Risk Amount / (Current Price – Stop Price), rounded to the nearest whole share, updating in real time on every bar Offers two dynamic stop-loss options: Low of Day (LoD) — tracked only during Regular Trading Hours (9:30 AM – 4:00 PM ET) with automatic daily reset — or Low of Week (LoW) via weekly timeframe data Displays all critical trade data in a clean, customizable on-screen table showing: Risk Amount, Stop Loss type (LoD/LoW), Stop Price, and calculated Shares Qty Allows full table placement control with four corner positions with optional Top Offset and Bottom Offset (0–20 blank rows each) to prevent overlap with price action or other indicators Provides complete visual styling control for header text/background, value text/background, and share quantity text/background Ensures efficient rendering by recreating the table only when position, row count, or layout changes, deleting the prior instance to avoid flicker or memory issues Handles edge cases safely: shows 0 shares if stop is 'na' or above current price, and initializes LoD only on the first RTH bar of each session For use on equities only (table will not display on futures instruments) -- Future improvements: Visual Stop Loss line for either LoD or LoW Functionality and toggle to include Extended hours (PM /AH) for LoD stop pricing
Pine Script®指标
由CarpaccioTrades提供
Stoch PRO + Dynamic EMA (EMA cross)Stoch PRO + Dynamic EMA Documentation Overview: - Pine Script v6 overlay indicator combining a trend-colored EMA with a Stochastic oscillator to highlight midline momentum shifts. - Designed for TradingView charts (Indicators → Import) as a visual aid for timing entries within trend-following setups. - Crafted and optimized around BTCUSDT on the 4h timeframe; adapt inputs before applying to other markets or intervals. Inputs: - EMA Length (default 50): smoothing window for the dynamic EMA; lower values respond faster but whipsaw more. - Stochastic K Length (20): lookback for the raw %K calculation. - Stochastic K Smoothing (3): SMA applied to %K to reduce noise. - Stochastic D Smoothing (3): SMA over %K to produce the companion %D line. Visual Elements: - EMA plotted on price with linewidth 3; teal when close > EMA, fuchsia otherwise. - Background tinted teal/fuchsia at high transparency (≈92) to reinforce the current trend bias without obscuring price bars. Oscillator Logic: - %K = ta.stoch(high, low, close, kLength); smoothed with ta.sma(kRaw, kSmooth). - %D = ta.sma(k, dSmooth). - Focus is on the midline (50) rather than traditional 20/80 extremes to emphasize rapid momentum flips. Signals: - Buy: %K crossing above 50 while close > EMA (teal state). Plots tiny teal circle below the bar. - Sell: %K crossing below 50 while close < EMA (fuchsia state). Plots tiny purple circle above the bar. Trading Workflow Tips: - Use EMA/background color for directional bias, then confirm with %K 50-cross to refine entries. - Consider higher-timeframe trend filters or price-action confirmation to avoid range chop. - Stops often sit just beyond the EMA; adjust thresholds (e.g., 55/45) if too many false positives occur. - Always plan risk/reward upfront—define TP/SL levels that fit your strategy and backtest them thoroughly before trading live. Alerts & Extensions: - Wrap crossUp/crossDown in alertcondition() if TradingView alerts are needed. - For automation/backtesting, convert logic to a strategy() script or add position management rules.
Pine Script®指标
由DrewRS提供
Candlestick Combo Strategy - [CLEVER]📊 Strategy Name: Candlestick Combo Strategy – 🧠 Purpose This strategy is built to identify high-probability reversal or continuation setups based on a combination of classic Japanese candlestick patterns filtered through a trend indicator (50-period SMA) and volatility measure (ATR). It automatically executes long or short trades when multiple conditions align — giving traders a rules-based, mechanical approach to using price action patterns. ⚙️ Core Components Explained 1. Trend & Volatility Filters 50-period SMA (Simple Moving Average): Defines market direction. If price > SMA → Uptrend (only long signals considered). If price < SMA → Downtrend (only short signals considered). ATR (Average True Range): Used to measure volatility and define the size of candlestick patterns. Helps distinguish strong candles from normal noise. Also used to calculate stop-loss and target levels dynamically. 2. Candlestick Patterns Detected The script detects 8 classical patterns, some bullish (for long entries) and some bearish (for short entries). Each pattern has specific rules based on candle bodies, wicks, and relative positioning. 🟩 Bullish (Long) Patterns Pattern Description Mat Hold Strong bullish continuation: a long green candle, small consolidation, then another bullish breakout. Tower Bottom Reversal setup: large bearish candle, several small neutral candles (base), followed by a large bullish candle. Rising Window Gap-up pattern signaling bullish strength and momentum continuation. Bullish Marubozu Full-body bullish candle with little to no wicks — represents aggressive buying pressure. 🟥 Bearish (Short) Patterns Pattern Description Matching High Two strong bullish candles with nearly identical highs — signals exhaustion and potential reversal. Falling Window Gap-down continuation pattern — confirms bearish momentum. Bearish Marubozu Full-body bearish candle with minimal wicks — represents strong selling pressure. Long-Legged Doji High indecision after an uptrend — potential reversal warning when confirmed by trend filter. 3. Trade Signal Logic Long Signal: Generated when the market is in an uptrend and one of the bullish patterns forms. Short Signal: Generated when the market is in a downtrend and one of the bearish patterns appears. This ensures that signals align with the overall market structure and aren’t triggered in the opposite direction of momentum. 4. Risk Management & Trade Execution Each trade is managed with automatic stop-loss (SL) and take-profit (TP) levels based on recent price swings and risk-to-reward ratio. Stop-Loss (SL): For long trades → lowest low of the last 10 bars. For short trades → highest high of the last 10 bars. Target (TP): Based on user-defined risk:reward ratio (RR), default is 2:1. ATR Multiplier: Ensures only strong patterns (larger than average candle size) trigger trades. Trade Limiter: The strategy includes maxOpenTrades, which restricts how many trades can be open at once (default = 1), preventing overexposure. 5. Visual Signals Green Triangles (▲) → Long entry signals appear below candles. Red Triangles (▼) → Short entry signals appear above candles. These markers visually represent where the strategy detects valid setups. 💡 Trading Logic Summary Condition Requirement Trend Based on 50-SMA (uptrend = long, downtrend = short) Pattern Strength Verified using ATR for realistic volatility filtering Entry Triggered only when both trend and pattern align Exit Stop and target auto-calculated (Risk:Reward = configurable) Trade Control Limits number of concurrent open positions 🧩 Best Use Cases Timeframes: Works best on 1H, 4H, or daily charts. Markets: Suitable for Forex, indices, and commodities. Trading Style: Ideal for swing traders and technical analysts who prefer price action confirmation. ✅ Summary Table Feature Description Strategy Type Price Action + Candlestick Pattern Recognition Trend Filter 50-SMA Volatility Filter ATR-based Patterns Used 8 classic bullish/bearish candlestick formations Trade Management Auto SL/TP via recent swing levels Customization Adjustable ATR, SMA, Risk:Reward, and max trades Objective Identify high-probability reversal or continuation setups with disciplined risk control TVC:DXY OANDA:XAUUSD OANDA:AUDJPY CITYINDEX:GBPMXN CRYPTO:BTCUSD TVC:USOIL OANDA:USDCHF WHSELFINVEST:NOKJPY IBKR:SEKJPY
Pine Script®策略
由TheCleverTraders提供
ATR SL/TP Precision Zones (Dots)ATR SL/TP Precision Zones (Dots) is a volatility-based tool designed to help traders set accurate Stop Loss and Take Profit levels based on real market volatility — not fixed pips or emotion. This indicator uses ATR (Average True Range) multiplied by 1.2 to calculate dynamic distance bands. Instead of drawing a ribbon or channel, it places simple dots above and below each candle: Upper Dot (Green) → Suggested Take Profit / Price Stretch Zone Lower Dot (Red) → Suggested Stop Loss Cushion / Support Expansion Zone Because ATR measures market volatility, these dots expand during high volatility and tighten during slow markets, helping traders avoid stop-loss hunts and premature exits. Why This Works Most traders lose because: They set SL too close → stopped out by noise They set TP too far → price never reaches it This tool calibrates those distances automatically based on real price movement behavior. ATR = volatility Volatility = market breathing room This indicator ensures your trade has room to breathe, increasing win consistency. Best Use Cases Scalping Swing trading Trend continuation entries Reversal confirmations with support/resistance Works on Crypto / Forex / Stocks / Futures
Pine Script®指标
由DevanshRaii提供
Stablecoin to BTC Market Cap RatioThis indicator calculates the ratio of the combined market capitalization of USDT and USDC stablecoins to the market capitalization of BTC. Data is updated daily from TradingView's CRYPTOCAP sources. It is displayed as a line in a separate panel, allowing analysis of stablecoin liquidity dynamics relative to BTC. How to Use Add the indicator to any asset chart in TradingView. It is useful for assessing the potential buying power of stablecoins in the cryptocurrency market. High ratio values may signal accumulation of liquidity in stablecoins, often preceding growth in BTC or altcoins (bullish signal). Low values indicate a decrease in the role of stablecoins, which may be bearish. It is recommended to combine with other indicators, such as RSI or volumes, to confirm trends.
Pine Script®指标
由iCD_creator提供
Victoria Smart Overlay – EMA1/SMA3/SMA1Core Components: EMA 1 (Micro): fastest trend trigger SMA 3 (Short): trend confirmation SMA 1 (Base): structure guide Conditions and Actions: EMA1 crosses above SMA3 → Uptrend starting → Consider Calls / Long EMA1 crosses below SMA3 → Downtrend starting → Consider Puts / Short Price hugging SMA1 → Neutral zone → Wait for breakout Background Green → Confirmed Uptrend → Stay long or scalp Calls Background Red → Confirmed Downtrend → Stay short or scalp Puts Micro EMA + Heikin Ashi (Refined Swing Map) Purpose: Filters fake moves and identifies strong momentum runs. Use on 5m / 15m charts for intraday clarity. Signals and Actions: EMA1 > EMA3 > EMA5 → Micro-uptrend forming → Enter / hold Calls EMA1 < EMA3 < EMA5 → Micro-downtrend forming → Enter / hold Puts EMA lines tangled → No conviction → Wait 200-Day SMA rising → Macro bullish → Favor long trades 200-Day SMA falling → Macro bearish → Favor shorts
Pine Script®指标
由selectingocean5提供
Victoria RSI Hybrid Pro – Momentum + Volume + DivergenceConditions and Actions: RSI > 50 → Bullish regime → Consider Calls RSI < 50 → Bearish regime → Consider Puts RSI crosses up → Momentum shift up → Buy confirmation RSI crosses down → Momentum shift down → Sell confirmation RSI > 70 → Overbought → Take profits RSI < 30 → Oversold → Watch for reversal Bullish divergence → Hidden upward momentum → Reversal watch Bearish divergence → Hidden downward momentum → Reversal watch 4. Multi-Indicator Confirmation Rules Combine signals from EMA, SMA, RSI, and Volume to identify high-confidence trades. Rules: Triple Green → EMA1>SMA3, RSI>50, Volume Up → Buy Calls / Shares Triple Red → EMA1 70 + Weak Volume → Exit Calls early EMA1 flips direction + Strong Volume → Confirm bias immediately RSI on 1H agrees with main chart → Trend continuation likely 6. Timeframes Scalps: 1m–5m Next-Day Options: 15m–1H Swings: 4H–1D 7. Key Mindset Rules Patience beats prediction. Wait for confirmations. Volume confirms conviction, not direction. If RSI and Overlay disagree → No trade. Only act when 2 of 3 systems (EMA, RSI, Volume) align.
Pine Script®指标
由selectingocean5提供
KKTT V9Description for Publication Order Flow + Opening Range Trend Dashboard Combo This indicator combines Cumulative Volume Delta (CVD) momentum, Opening Range breakout levels, and a Multi-Timeframe Trend Dashboard to provide a complete intraday market view. Features: CVD Momentum (Order Flow): Detects real buying/selling pressure by tracking cumulative delta between bullish and bearish candles. Buy signal → when CVD crosses above its EMA, price above EMA200, and volume above average. Sell signal → when CVD crosses below its EMA, price below EMA200, and volume above average. Opening Range Levels: Automatically marks the key session opening price, upper breakout (Buy Line), and lower breakout (Sell Line). Helps identify potential breakout zones for major sessions (e.g., Asia, Europe, US). Trend Dashboard: Displays the trend status for multiple timeframes (D1, H4, H1, H15). Green → Uptrend Red → Downtrend Orange → Sideways Use this dashboard to align intraday signals with higher-timeframe trends. Usage Tips: Prioritize buy signals when higher-timeframe trends are bullish. Prioritize sell signals when higher-timeframe trends are bearish. Combine with support/resistance zones for better confirmation. This script provides a clear visualization of order flow strength, market structure, and session volatility — ideal for traders who want to capture directional moves with strong momentum confirmation.
Pine Script®指标
由thaikosovo提供
1
DAX ORB Ultimate - ALGO Suite//@version=5 indicator("DAX ORB Ultimate - ALGO Suite", overlay=true, max_labels_count=200, max_lines_count=100) // ═══════════════════════════════════════════════════════════════════════════════ // DAX OPENING RANGE BREAKOUT - ULTIMATE EDITION // Real-time ORB building | Multi-timeframe support | Key levels with bias // Works on ANY timeframe - uses M1 data for ORB construction // ═══════════════════════════════════════════════════════════════════════════════ // ════════════════════════ INPUTS ════════════════════════ orb_start_h = input.int(7, "Start Hour (UTC)", minval=0, maxval=23, group="ORB Settings") orb_start_m = input.int(40, "Start Minute", minval=0, maxval=59, group="ORB Settings") orb_end_h = input.int(8, "End Hour (UTC)", minval=0, maxval=23, group="ORB Settings") orb_end_m = input.int(0, "End Minute", minval=0, maxval=59, group="ORB Settings") exclude_wicks = input.bool(true, "Exclude Wicks", group="ORB Settings") close_hour = input.int(16, "Market Close Hour", minval=0, maxval=23, group="ORB Settings") use_tf = input.bool(true, "1. Trend Following", group="Strategies") use_mr = input.bool(true, "2. Mean Reversion", group="Strategies") use_sa = input.bool(true, "3. Statistical Arb", group="Strategies") use_mm = input.bool(true, "4. Market Making", group="Strategies") use_ba = input.bool(true, "5. Basis Arb", group="Strategies") use_ema = input.bool(true, "EMA Filter", group="Technical Filters") use_rsi = input.bool(true, "RSI Filter", group="Technical Filters") use_macd = input.bool(true, "MACD Filter", group="Technical Filters") use_vol = input.bool(true, "Volume Filter", group="Technical Filters") use_bb = input.bool(true, "Bollinger Filter", group="Technical Filters") use_fixed = input.bool(false, "Fixed SL/TP", group="Risk Management") fixed_sl = input.float(50, "Fixed SL Points", minval=10, group="Risk Management") fixed_tp = input.float(150, "Fixed TP Points", minval=10, group="Risk Management") atr_sl = input.float(2.0, "ATR SL Mult", minval=0.5, group="Risk Management") atr_tp = input.float(3.0, "ATR TP Mult", minval=0.5, group="Risk Management") min_rr = input.float(2.0, "Min R:R", minval=1.0, group="Risk Management") show_dash = input.bool(true, "Show Dashboard", group="Display") show_lines = input.bool(true, "Show Lines", group="Display") show_levels = input.bool(true, "Show Key Levels", group="Display") // ════════════════════════ FUNCTIONS ════════════════════════ is_orb_period(_h, _m) => start = orb_start_h * 60 + orb_start_m end = orb_end_h * 60 + orb_end_m curr = _h * 60 + _m curr >= start and curr < end orb_ended(_h, _m) => end = orb_end_h * 60 + orb_end_m curr = _h * 60 + _m curr == end is_market_open() => h = hour(time) h >= orb_start_h and h <= close_hour // ════════════════════════ DATA GATHERING (M1) ════════════════════════ // Get M1 data for ORB construction (works on ANY chart timeframe) = request.security(syminfo.tickerid, "1", , barmerge.gaps_off, barmerge.lookahead_off) // Daily data d_high = request.security(syminfo.tickerid, "D", high, barmerge.gaps_off, barmerge.lookahead_on) d_low = request.security(syminfo.tickerid, "D", low, barmerge.gaps_off, barmerge.lookahead_on) d_open = request.security(syminfo.tickerid, "D", open, barmerge.gaps_off, barmerge.lookahead_on) // Current day high/low (intraday) var float today_high = na var float today_low = na var float prev_day_high = na var float prev_day_low = na var float yest_size = 0 if ta.change(time("D")) != 0 prev_day_high := d_high prev_day_low := d_low yest_size := d_high - d_low today_high := high today_low := low else today_high := math.max(na(today_high) ? high : today_high, high) today_low := math.min(na(today_low) ? low : today_low, low) // ════════════════════════ ORB CONSTRUCTION (REAL-TIME) ════════════════════════ var float orb_h = na var float orb_l = na var bool orb_ready = false var float orb_building_h = na var float orb_building_l = na var bool is_building = false // Get M1 bar time components m1_hour = hour(m1_time) m1_minute = minute(m1_time) // Reset daily if ta.change(time("D")) != 0 orb_h := na orb_l := na orb_ready := false orb_building_h := na orb_building_l := na is_building := false // Build ORB using M1 data if is_orb_period(m1_hour, m1_minute) and not orb_ready is_building := true val_h = exclude_wicks ? m1_close : m1_high val_l = exclude_wicks ? m1_close : m1_low if na(orb_building_h) orb_building_h := val_h orb_building_l := val_l else orb_building_h := math.max(orb_building_h, val_h) orb_building_l := math.min(orb_building_l, val_l) // FIX #1: Set is_building to false when NOT in ORB period anymore if not is_orb_period(m1_hour, m1_minute) and is_building and not orb_ready is_building := false // Finalize ORB when period ends if orb_ended(m1_hour, m1_minute) and not orb_ready orb_h := orb_building_h orb_l := orb_building_l orb_ready := true is_building := false // Display building values in real-time current_orb_h = is_building ? orb_building_h : orb_h current_orb_l = is_building ? orb_building_l : orb_l // ════════════════════════ INDICATORS ════════════════════════ ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) ema50 = ta.ema(close, 50) rsi = ta.rsi(close, 14) = ta.macd(close, 12, 26, 9) = ta.bb(close, 20, 2) atr = ta.atr(14) vol_ma = ta.sma(volume, 20) // ════════════════════════ STRATEGY SIGNALS ════════════════════════ // 1. Trend Following tf_short = ta.sma(close, 10) tf_long = ta.sma(close, 30) tf_bull = tf_short > tf_long tf_bear = tf_short < tf_long // 2. Mean Reversion mr_mean = ta.sma(close, 20) mr_dev = (close - mr_mean) / mr_mean * 100 mr_bull = mr_dev <= -0.5 mr_bear = mr_dev >= 0.5 // 3. Statistical Arb sa_mean = ta.sma(close, 120) sa_std = ta.stdev(close, 120) sa_z = sa_std > 0 ? (close - sa_mean) / sa_std : 0 var string sa_st = "flat" if sa_st == "flat" if sa_z <= -2.0 sa_st := "long" else if sa_z >= 2.0 sa_st := "short" else if math.abs(sa_z) <= 0.5 or math.abs(sa_z) >= 4.0 sa_st := "flat" sa_bull = sa_st == "long" sa_bear = sa_st == "short" // 4. Market Making mm_spread = (high - low) / close * 100 mm_mid = (high + low) / 2 mm_bull = close < mm_mid and mm_spread >= 0.5 mm_bear = close > mm_mid and mm_spread >= 0.5 // 5. Basis Arb ba_fair = ta.sma(close, 50) ba_bps = ba_fair != 0 ? (close - ba_fair) / ba_fair * 10000 : 0 ba_bull = ba_bps <= -8.0 ba_bear = ba_bps >= 8.0 // Vote counting bull_v = 0 bear_v = 0 if use_tf bull_v := bull_v + (tf_bull ? 1 : 0) bear_v := bear_v + (tf_bear ? 1 : 0) if use_mr bull_v := bull_v + (mr_bull ? 1 : 0) bear_v := bear_v + (mr_bear ? 1 : 0) if use_sa bull_v := bull_v + (sa_bull ? 1 : 0) bear_v := bear_v + (sa_bear ? 1 : 0) if use_mm bull_v := bull_v + (mm_bull ? 1 : 0) bear_v := bear_v + (mm_bear ? 1 : 0) if use_ba bull_v := bull_v + (ba_bull ? 1 : 0) bear_v := bear_v + (ba_bear ? 1 : 0) // Technical filters - Simplified scoring system ema_ok_b = not use_ema or (ema9 > ema21 and close > ema50) ema_ok_s = not use_ema or (ema9 < ema21 and close < ema50) rsi_ok_b = not use_rsi or (rsi > 40 and rsi < 80) // More lenient rsi_ok_s = not use_rsi or (rsi < 60 and rsi > 20) // More lenient macd_ok_b = not use_macd or macd > sig macd_ok_s = not use_macd or macd < sig vol_ok = not use_vol or volume > vol_ma * 1.2 // More lenient bb_ok_b = not use_bb or close > bb_mid bb_ok_s = not use_bb or close < bb_mid // Technical score (need at least 2 out of 5 filters) tech_score_b = (ema_ok_b ? 1 : 0) + (rsi_ok_b ? 1 : 0) + (macd_ok_b ? 1 : 0) + (bb_ok_b ? 1 : 0) + (vol_ok ? 1 : 0) tech_score_s = (ema_ok_s ? 1 : 0) + (rsi_ok_s ? 1 : 0) + (macd_ok_s ? 1 : 0) + (bb_ok_s ? 1 : 0) + (vol_ok ? 1 : 0) tech_bull = tech_score_b >= 2 tech_bear = tech_score_s >= 2 // Breakout - SIMPLIFIED (just need close above/below ORB) brk_bull = orb_ready and close > current_orb_h brk_bear = orb_ready and close < current_orb_l // Consensus - At least 2 strategies agree (not majority) total_st = (use_tf ? 1 : 0) + (use_mr ? 1 : 0) + (use_sa ? 1 : 0) + (use_mm ? 1 : 0) + (use_ba ? 1 : 0) consensus_b = bull_v >= 2 consensus_s = bear_v >= 2 // Final signals - MUCH MORE LENIENT daily_ok = yest_size >= 50 // Reduced from 100 buy = brk_bull and consensus_b and tech_bull and is_market_open() sell = brk_bear and consensus_s and tech_bear and is_market_open() // ════════════════════════ SL/TP ════════════════════════ // IMMEDIATE SL/TP LEVELS - Calculated as soon as ORB is ready (at 8:00) var float long_entry = na var float long_sl = na var float long_tp = na var float short_entry = na var float short_sl = na var float short_tp = na // Calculate potential levels immediately when ORB is ready if orb_ready and not na(orb_h) and not na(orb_l) // Long scenario: Entry at ORB high breakout long_entry := orb_h long_sl := use_fixed ? long_entry - fixed_sl : long_entry - atr * atr_sl long_tp := use_fixed ? long_entry + fixed_tp : long_entry + atr * atr_tp // Short scenario: Entry at ORB low breakout short_entry := orb_l short_sl := use_fixed ? short_entry + fixed_sl : short_entry + atr * atr_sl short_tp := use_fixed ? short_entry - fixed_tp : short_entry - atr * atr_tp // Signal-based entry tracking (for dashboard and alerts) var float buy_entry = na var float buy_sl = na var float buy_tp = na var float sell_entry = na var float sell_sl = na var float sell_tp = na if buy buy_entry := close buy_sl := use_fixed ? buy_entry - fixed_sl : buy_entry - atr * atr_sl buy_tp := use_fixed ? buy_entry + fixed_tp : buy_entry + atr * atr_tp if sell sell_entry := close sell_sl := use_fixed ? sell_entry + fixed_sl : sell_entry + atr * atr_sl sell_tp := use_fixed ? sell_entry - fixed_tp : sell_entry - atr * atr_tp buy_rr = not na(buy_entry) ? (buy_tp - buy_entry) / (buy_entry - buy_sl) : 0 sell_rr = not na(sell_entry) ? (sell_entry - sell_tp) / (sell_sl - sell_entry) : 0 buy_final = buy and buy_rr >= min_rr sell_final = sell and sell_rr >= min_rr // ════════════════════════ TRAILING STOPS ════════════════════════ // Trailing Stop Loss and Take Profit Management var float trailing_sl_long = na var float trailing_sl_short = na var float trailing_tp_long = na var float trailing_tp_short = na var bool in_long = false var bool in_short = false var float highest_since_entry = na var float lowest_since_entry = na // Enter long position if buy_final and not in_long in_long := true in_short := false trailing_sl_long := buy_sl trailing_tp_long := buy_tp highest_since_entry := close // Enter short position if sell_final and not in_short in_short := true in_long := false trailing_sl_short := sell_sl trailing_tp_short := sell_tp lowest_since_entry := close // Update trailing stops for LONG if in_long // Track highest price since entry highest_since_entry := math.max(highest_since_entry, high) // Trail stop loss (moves up as price moves up) // When price moves 1 ATR in profit, move SL to breakeven // When price moves 2 ATR in profit, move SL to +1 ATR profit_atr = (highest_since_entry - buy_entry) / atr if profit_atr >= 2.0 trailing_sl_long := math.max(trailing_sl_long, buy_entry + atr * 1.0) else if profit_atr >= 1.0 trailing_sl_long := math.max(trailing_sl_long, buy_entry) // Smart trailing TP - extends TP if strong momentum if highest_since_entry > trailing_tp_long * 0.9 and rsi > 60 // Within 10% of TP and strong momentum trailing_tp_long := trailing_tp_long + atr * 0.5 // Extend TP // Exit conditions if close <= trailing_sl_long or close >= trailing_tp_long in_long := false trailing_sl_long := na trailing_tp_long := na highest_since_entry := na // Update trailing stops for SHORT if in_short // Track lowest price since entry lowest_since_entry := math.min(lowest_since_entry, low) // Trail stop loss (moves down as price moves down) profit_atr = (sell_entry - lowest_since_entry) / atr if profit_atr >= 2.0 trailing_sl_short := math.min(trailing_sl_short, sell_entry - atr * 1.0) else if profit_atr >= 1.0 trailing_sl_short := math.min(trailing_sl_short, sell_entry) // Smart trailing TP - extends TP if strong momentum if lowest_since_entry < trailing_tp_short * 1.1 and rsi < 40 // Within 10% of TP and strong momentum trailing_tp_short := trailing_tp_short - atr * 0.5 // Extend TP // Exit conditions if close >= trailing_sl_short or close <= trailing_tp_short in_short := false trailing_sl_short := na trailing_tp_short := na lowest_since_entry := na // ════════════════════════ ANALYTICS ════════════════════════ prob_strat = total_st > 0 ? math.max(bull_v, bear_v) / total_st * 100 : 50 prob_tech = (tech_bull or tech_bear) ? 75 : 35 prob_vol = vol_ok ? 85 : 50 prob_daily = daily_ok ? 85 : 30 prob_orb = orb_ready ? 80 : 20 probability = prob_strat * 0.3 + prob_tech * 0.25 + prob_vol * 0.15 + prob_daily * 0.15 + prob_orb * 0.15 dir_score = 0 dir_score := dir_score + (ema9 > ema21 ? 2 : -2) dir_score := dir_score + (tf_bull ? 2 : -2) dir_score := dir_score + (macd > sig ? 1 : -1) dir_score := dir_score + (rsi > 50 ? 1 : -1) direction = dir_score >= 2 ? "STRONG BULL" : (dir_score > 0 ? "BULL" : (dir_score <= -2 ? "STRONG BEAR" : (dir_score < 0 ? "BEAR" : "NEUTRAL"))) clean_trend = math.abs(ema9 - ema21) / close * 100 clean_noise = atr / close * 100 clean_struct = close > ema9 and close > ema21 and close > ema50 or close < ema9 and close < ema21 and close < ema50 clean_score = (clean_trend > 0.5 ? 30 : 10) + (clean_noise < 1.5 ? 30 : 10) + (clean_struct ? 40 : 10) quality = clean_score >= 70 ? "CLEAN" : (clean_score >= 50 ? "GOOD" : (clean_score >= 30 ? "OK" : "CHOPPY")) mom = ta.mom(close, 10) mom_str = math.abs(mom) / close * 100 vol_rat = atr / ta.sma(atr, 20) movement = buy_final or sell_final ? (mom_str > 0.8 and vol_rat > 1.3 ? "STRONG" : (mom_str > 0.5 ? "MODERATE" : "GRADUAL")) : "WAIT" ok_score = (daily_ok ? 25 : 0) + (orb_ready ? 25 : 0) + (is_market_open() ? 20 : 0) + (clean_score >= 50 ? 20 : 5) + (probability >= 60 ? 10 : 0) ok_trade = ok_score >= 65 // ════════════════════════ KEY LEVELS WITH BIAS ════════════════════════ // Calculate potential reaction levels with directional bias var float key_levels = array.new_float(0) var string key_bias = array.new_string(0) if barstate.islast and show_levels array.clear(key_levels) array.clear(key_bias) // Add levels with bias if not na(current_orb_h) array.push(key_levels, current_orb_h) array.push(key_bias, consensus_b ? "BULL BREAK" : "RESISTANCE") if not na(current_orb_l) array.push(key_levels, current_orb_l) array.push(key_bias, consensus_s ? "BEAR BREAK" : "SUPPORT") if not na(prev_day_high) array.push(key_levels, prev_day_high) bias_pdh = close > prev_day_high ? "BULLISH" : (close < prev_day_high and close > prev_day_high * 0.995 ? "WATCH" : "RESIST") array.push(key_bias, bias_pdh) if not na(prev_day_low) array.push(key_levels, prev_day_low) bias_pdl = close < prev_day_low ? "BEARISH" : (close > prev_day_low and close < prev_day_low * 1.005 ? "WATCH" : "SUPPORT") array.push(key_bias, bias_pdl) if not na(today_high) array.push(key_levels, today_high) array.push(key_bias, "TODAY HIGH") if not na(today_low) array.push(key_levels, today_low) array.push(key_bias, "TODAY LOW") // Add EMA50 as dynamic level array.push(key_levels, ema50) ema_bias = close > ema50 ? "BULL SUPPORT" : "BEAR RESIST" array.push(key_bias, ema_bias) // ════════════════════════ VISUALS ════════════════════════ // Previous day lines plot(show_lines ? prev_day_high : na, "Prev Day H", color.new(color.yellow, 0), 1, plot.style_line) plot(show_lines ? prev_day_low : na, "Prev Day L", color.new(color.orange, 0), 1, plot.style_line) // Current day high/low plot(show_lines ? today_high : na, "Today High", color.new(color.lime, 40), 2, plot.style_circles) plot(show_lines ? today_low : na, "Today Low", color.new(color.red, 40), 2, plot.style_circles) // ORB lines (show building values in real-time with separate plots) // Building phase - circles (orange during building) plot(show_lines and is_building and not na(current_orb_h) ? current_orb_h : na, "ORB High Building", color.new(color.orange, 30), 3, plot.style_circles) plot(show_lines and is_building and not na(current_orb_l) ? current_orb_l : na, "ORB Low Building", color.new(color.orange, 30), 3, plot.style_circles) // Ready phase - ULTRA BRIGHT solid lines plot(show_lines and not is_building and not na(current_orb_h) ? current_orb_h : na, "ORB High Ready", color.new(color.aqua, 0), 4, plot.style_line) plot(show_lines and not is_building and not na(current_orb_l) ? current_orb_l : na, "ORB Low Ready", color.new(color.aqua, 0), 4, plot.style_line) // ORB zone fill p1 = plot(not na(current_orb_h) ? current_orb_h : na, display=display.none) p2 = plot(not na(current_orb_l) ? current_orb_l : na, display=display.none) fill_color = is_building ? color.new(color.blue, 93) : color.new(color.blue, 88) fill(p1, p2, fill_color, title="ORB Zone") // FIX #2: Draw ORB rectangle box ONLY ONCE when ready (use var to track if already drawn) var box orb_box = na var int orb_start_bar = na var bool orb_box_drawn = false // Reset box drawn flag on new day if ta.change(time("D")) != 0 orb_box_drawn := false // Capture the bar when ORB becomes ready if orb_ready and not orb_ready orb_start_bar := bar_index orb_box_drawn := false // Allow new box to be drawn // Draw box ONLY ONCE when ORB first becomes ready if orb_ready and not orb_box_drawn and not na(orb_h) and not na(orb_l) and show_lines if not na(orb_box) box.delete(orb_box) // Ultra clear rectangle with thick bright borders box_color = color.new(color.aqua, 85) // Bright aqua fill border_color = color.new(color.aqua, 0) // Solid bright aqua border orb_box := box.new(orb_start_bar, orb_h, bar_index + 50, orb_l, border_color=border_color, border_width=3, // Thicker border bgcolor=box_color, extend=extend.right, text="ORB ZONE", text_size=size.normal, // Larger text text_color=color.new(color.aqua, 0)) // Bright text orb_box_drawn := true // Update box right edge on each bar (without creating new box) if orb_box_drawn and not na(orb_box) and show_lines box.set_right(orb_box, bar_index) // EMAs plot(use_ema ? ema9 : na, "EMA9", color.new(color.blue, 20), 1) plot(use_ema ? ema21 : na, "EMA21", color.new(color.orange, 20), 1) plot(use_ema ? ema50 : na, "EMA50", color.new(color.purple, 30), 2) // Signals plotshape(buy_final, "BUY", shape.triangleup, location.belowbar, color.new(color.lime, 0), size=size.small, text="BUY") plotshape(sell_final, "SELL", shape.triangledown, location.abovebar, color.new(color.red, 0), size=size.small, text="SELL") // Exit signals plotshape(in_long and not in_long, "EXIT LONG", shape.xcross, location.abovebar, color.new(color.orange, 0), size=size.tiny, text="EXIT") plotshape(in_short and not in_short, "EXIT SHORT", shape.xcross, location.belowbar, color.new(color.orange, 0), size=size.tiny, text="EXIT") // Trailing stop lines plot(in_long and not na(trailing_sl_long) ? trailing_sl_long : na, "Trail SL Long", color.new(color.red, 0), 2, plot.style_cross) plot(in_long and not na(trailing_tp_long) ? trailing_tp_long : na, "Trail TP Long", color.new(color.lime, 0), 2, plot.style_cross) plot(in_short and not na(trailing_sl_short) ? trailing_sl_short : na, "Trail SL Short", color.new(color.red, 0), 2, plot.style_cross) plot(in_short and not na(trailing_tp_short) ? trailing_tp_short : na, "Trail TP Short", color.new(color.lime, 0), 2, plot.style_cross) // FIX #3: IMMEDIATE SL/TP LINES - Draw ONLY ONCE when ORB is ready var line long_sl_ln = na var line long_tp_ln = na var line short_sl_ln = na var line short_tp_ln = na var label long_sl_lbl = na var label long_tp_lbl = na var label short_sl_lbl = na var label short_tp_lbl = na var bool sltp_lines_drawn = false // Reset lines drawn flag on new day if ta.change(time("D")) != 0 sltp_lines_drawn := false // Draw lines ONLY ONCE when ORB first becomes ready if orb_ready and not orb_ready and show_lines sltp_lines_drawn := false // Allow new lines to be drawn if orb_ready and not sltp_lines_drawn and show_lines // Delete old lines if not na(long_sl_ln) line.delete(long_sl_ln) line.delete(long_tp_ln) line.delete(short_sl_ln) line.delete(short_tp_ln) label.delete(long_sl_lbl) label.delete(long_tp_lbl) label.delete(short_sl_lbl) label.delete(short_tp_lbl) // LONG scenario (green - bullish breakout above ORB high) if not na(long_sl) and not na(long_tp) long_sl_ln := line.new(bar_index, long_sl, bar_index + 100, long_sl, color=color.new(color.red, 0), width=2, style=line.style_solid, extend=extend.right) long_tp_ln := line.new(bar_index, long_tp, bar_index + 100, long_tp, color=color.new(color.lime, 0), width=2, style=line.style_solid, extend=extend.right) long_sl_lbl := label.new(bar_index, long_sl, "LONG SL: " + str.tostring(long_sl, "#.##"), style=label.style_label_left, color=color.new(color.red, 0), textcolor=color.white, size=size.small) long_tp_lbl := label.new(bar_index, long_tp, "LONG TP: " + str.tostring(long_tp, "#.##"), style=label.style_label_left, color=color.new(color.lime, 0), textcolor=color.black, size=size.small) // SHORT scenario (red - bearish breakout below ORB low) if not na(short_sl) and not na(short_tp) short_sl_ln := line.new(bar_index, short_sl, bar_index + 100, short_sl, color=color.new(color.red, 0), width=2, style=line.style_solid, extend=extend.right) short_tp_ln := line.new(bar_index, short_tp, bar_index + 100, short_tp, color=color.new(color.lime, 0), width=2, style=line.style_solid, extend=extend.right) short_sl_lbl := label.new(bar_index, short_sl, "SHORT SL: " + str.tostring(short_sl, "#.##"), style=label.style_label_left, color=color.new(color.red, 0), textcolor=color.white, size=size.small) short_tp_lbl := label.new(bar_index, short_tp, "SHORT TP: " + str.tostring(short_tp, "#.##"), style=label.style_label_left, color=color.new(color.lime, 0), textcolor=color.black, size=size.small) sltp_lines_drawn := true // FIX #4: Key level labels - Track and delete old labels to prevent duplication var label key_level_labels = array.new_label(0) // Delete all old key level labels if array.size(key_level_labels) > 0 for i = 0 to array.size(key_level_labels) - 1 label.delete(array.get(key_level_labels, i)) array.clear(key_level_labels) // Create key level labels only on last bar if barstate.islast and show_levels and array.size(key_levels) > 0 for i = 0 to array.size(key_levels) - 1 lvl = array.get(key_levels, i) bias = array.get(key_bias, i) // Color based on bias lbl_color = str.contains(bias, "BULL") ? color.new(color.green, 70) : (str.contains(bias, "BEAR") ? color.new(color.red, 70) : (str.contains(bias, "SUPPORT") ? color.new(color.blue, 70) : (str.contains(bias, "RESIST") ? color.new(color.orange, 70) : color.new(color.gray, 70)))) txt_color = str.contains(bias, "BULL") ? color.green : (str.contains(bias, "BEAR") ? color.red : (str.contains(bias, "SUPPORT") ? color.blue : (str.contains(bias, "RESIST") ? color.orange : color.gray))) new_lbl = label.new(bar_index + 2, lvl, str.tostring(lvl, "#.##") + " " + bias, style=label.style_label_left, color=lbl_color, textcolor=txt_color, size=size.tiny, textalign=text.align_left) array.push(key_level_labels, new_lbl) // FIX #5: Compact chart info labels - Track and delete to prevent duplication var label prob_label = na var label dir_label = na if barstate.islast and show_lines // Delete old labels if not na(prob_label) label.delete(prob_label) if not na(dir_label) label.delete(dir_label) // Create new labels prob_c = probability >= 70 ? color.green : (probability >= 50 ? color.yellow : color.red) prob_label := label.new(bar_index, high + atr * 1.2, str.tostring(probability, "#") + "%", style=label.style_none, textcolor=prob_c, size=size.small) dir_c = str.contains(direction, "BULL") ? color.green : (str.contains(direction, "BEAR") ? color.red : color.gray) dir_label := label.new(bar_index, high + atr * 2, direction, style=label.style_none, textcolor=dir_c, size=size.tiny) // ════════════════════════ DASHBOARD ════════════════════════ var table dash = table.new(position.top_right, 2, 20, bgcolor=color.new(color.black, 5), border_width=1, border_color=color.new(color.gray, 60)) if barstate.islast and show_dash r = 0 // Header table.cell(dash, 0, r, "DAX ORB ULTIMATE", text_color=color.white, bgcolor=color.new(color.blue, 30), text_size=size.small) table.cell(dash, 1, r, timeframe.period, text_color=color.yellow, bgcolor=color.new(color.blue, 30), text_size=size.tiny) // Current Day r += 1 table.cell(dash, 0, r, "TODAY H/L", text_color=color.aqua, text_size=size.tiny) table.cell(dash, 1, r, "", text_color=color.white) r += 1 table.cell(dash, 0, r, "High", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(today_high, "#.##"), text_color=color.lime, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Low", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(today_low, "#.##"), text_color=color.red, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Range", text_color=color.gray, text_size=size.tiny) today_range = today_high - today_low table.cell(dash, 1, r, str.tostring(today_range, "#") + "p", text_color=color.aqua, text_size=size.tiny) // Previous Day r += 1 table.cell(dash, 0, r, "PREV H/L", text_color=color.aqua, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(yest_size, "#") + "p", text_color=daily_ok ? color.lime : color.red, text_size=size.tiny) // ORB Status with real-time values r += 1 table.cell(dash, 0, r, "ORB 7:40-8:00", text_color=color.aqua, text_size=size.tiny) orb_status = is_building ? "BUILDING" : (orb_ready ? "READY" : "WAIT") orb_clr = is_building ? color.orange : (orb_ready ? color.lime : color.gray) table.cell(dash, 1, r, orb_status, text_color=orb_clr, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "High", text_color=color.gray, text_size=size.tiny) orb_h_txt = not na(current_orb_h) ? str.tostring(current_orb_h, "#.##") : "---" table.cell(dash, 1, r, orb_h_txt, text_color=is_building ? color.orange : color.green, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Low", text_color=color.gray, text_size=size.tiny) orb_l_txt = not na(current_orb_l) ? str.tostring(current_orb_l, "#.##") : "---" table.cell(dash, 1, r, orb_l_txt, text_color=is_building ? color.orange : color.red, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Size", text_color=color.gray, text_size=size.tiny) orb_size = not na(current_orb_h) and not na(current_orb_l) ? current_orb_h - current_orb_l : 0 table.cell(dash, 1, r, str.tostring(orb_size, "#") + "p", text_color=color.yellow, text_size=size.tiny) // Strategies r += 1 table.cell(dash, 0, r, "STRATEGIES", text_color=color.aqua, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(bull_v) + "B " + str.tostring(bear_v) + "S", text_color=color.yellow, text_size=size.tiny) // Analytics r += 1 table.cell(dash, 0, r, "PROBABILITY", text_color=color.white, bgcolor=color.new(color.purple, 70), text_size=size.small) prob_c = probability >= 70 ? color.lime : (probability >= 50 ? color.yellow : color.red) table.cell(dash, 1, r, str.tostring(probability, "#") + "%", text_color=prob_c, bgcolor=color.new(color.purple, 70), text_size=size.small) r += 1 table.cell(dash, 0, r, "Direction", text_color=color.gray, text_size=size.tiny) dir_c = str.contains(direction, "BULL") ? color.lime : (str.contains(direction, "BEAR") ? color.red : color.gray) table.cell(dash, 1, r, direction, text_color=dir_c, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Chart", text_color=color.gray, text_size=size.tiny) qual_c = quality == "CLEAN" ? color.lime : (quality == "GOOD" ? color.green : (quality == "OK" ? color.yellow : color.red)) table.cell(dash, 1, r, quality, text_color=qual_c, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "OK Trade?", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, ok_trade ? "YES" : "NO", text_color=ok_trade ? color.lime : color.red, text_size=size.tiny) // Position Status r += 1 pos_txt = in_long ? "IN LONG" : (in_short ? "IN SHORT" : "NO POSITION") pos_c = in_long ? color.lime : (in_short ? color.red : color.gray) table.cell(dash, 0, r, "POSITION", text_color=color.white, bgcolor=color.new(color.blue, 50), text_size=size.small) table.cell(dash, 1, r, pos_txt, text_color=pos_c, bgcolor=color.new(color.blue, 50), text_size=size.small) // Show trailing stops if in position if in_long and not na(trailing_sl_long) r += 1 table.cell(dash, 0, r, "Trail SL", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(trailing_sl_long, "#.##"), text_color=color.red, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Trail TP", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(trailing_tp_long, "#.##"), text_color=color.lime, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Profit", text_color=color.gray, text_size=size.tiny) pnl = close - buy_entry pnl_c = pnl > 0 ? color.lime : color.red table.cell(dash, 1, r, str.tostring(pnl, "#.#") + "p", text_color=pnl_c, text_size=size.tiny) if in_short and not na(trailing_sl_short) r += 1 table.cell(dash, 0, r, "Trail SL", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(trailing_sl_short, "#.##"), text_color=color.red, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Trail TP", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(trailing_tp_short, "#.##"), text_color=color.lime, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "Profit", text_color=color.gray, text_size=size.tiny) pnl = sell_entry - close pnl_c = pnl > 0 ? color.lime : color.red table.cell(dash, 1, r, str.tostring(pnl, "#.#") + "p", text_color=pnl_c, text_size=size.tiny) // Signal r += 1 table.cell(dash, 0, r, "SIGNAL", text_color=color.white, bgcolor=color.new(color.green, 50), text_size=size.small) sig_txt = buy_final ? "BUY NOW" : (sell_final ? "SELL NOW" : "WAIT") sig_c = buy_final ? color.lime : (sell_final ? color.red : color.gray) table.cell(dash, 1, r, sig_txt, text_color=sig_c, bgcolor=color.new(color.green, 50), text_size=size.small) // IMMEDIATE Trade Levels - Show as soon as ORB is ready if orb_ready and not na(long_entry) and not na(short_entry) r += 1 table.cell(dash, 0, r, "LONG LEVELS", text_color=color.lime, bgcolor=color.new(color.green, 70), text_size=size.tiny) table.cell(dash, 1, r, "", text_color=color.white) r += 1 table.cell(dash, 0, r, "Entry", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(long_entry, "#.##"), text_color=color.white, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "SL", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(long_sl, "#.##"), text_color=color.red, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "TP", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(long_tp, "#.##"), text_color=color.lime, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "SHORT LEVELS", text_color=color.red, bgcolor=color.new(color.red, 70), text_size=size.tiny) table.cell(dash, 1, r, "", text_color=color.white) r += 1 table.cell(dash, 0, r, "Entry", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(short_entry, "#.##"), text_color=color.white, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "SL", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(short_sl, "#.##"), text_color=color.red, text_size=size.tiny) r += 1 table.cell(dash, 0, r, "TP", text_color=color.gray, text_size=size.tiny) table.cell(dash, 1, r, str.tostring(short_tp, "#.##"), text_color=color.lime, text_size=size.tiny) // ════════════════════════ ALERTS ════════════════════════ alertcondition(buy_final, "BUY Signal", "DAX ORB BUY") alertcondition(sell_final, "SELL Signal", "DAX ORB SELL") alertcondition(orb_ready and not orb_ready , "ORB Ready", "DAX ORB READY") alertcondition(is_building and not is_building , "ORB Building", "DAX ORB BUILDING") alertcondition(ok_trade and not ok_trade , "Ready to Trade", "DAX OK")
Pine Script®指标
由Dylan_Millson提供
Inter-symmetric Forecast (ISF)Concept: The Inter-Symmetric Forecast (ISF) is a physics-inspired price projection tool that visualizes both trend-continuation and mean-reversion scenarios in one dynamic structure. It extends the classic ADAM Projection by introducing a regime-sensitive weighting based on the Market Reynolds Number (Reₘ), a dimensionless ratio of market momentum × liquidity to volatility-derived “viscosity.” Mechanism: ISF mirrors past price action around the current close (the continuation path) while also forward-pasting the same pattern unreflected (the anti-trend path). It then blends these paths bar-by-bar using time-reflected Reₘ values — meaning the liquidity-momentum regime of each past segment determines how much its future mirror leans toward continuation or reversion. Interpretation: High Reₘ → strong inertia/liquidity, favors trend continuation. Low Reₘ → high friction/volatility, favors mean reversion. The yellow blended forecast shows the regime-weighted midpoint between both outcomes. Use: ISF offers traders a visual probability corridor rather than a fixed prediction — illustrating how far a move might extend if momentum persists, or fade if conditions become viscous. It’s best used as a contextual forecasting overlay for discretionary or systematic analysis.
Pine Script®指标
由Tradenometry提供