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CISD Trend Candle - EMA + Always MACDThis indicator combines trend detection using EMA with constant MACD cross signals to provide a clear visual understanding of market direction and potential entry/exit points. ■ 1. Trend Detection with EMA (Candle Coloring) Calculates an EMA (default: 21). Checks whether the last n candles (default: 5): Close above the EMA → Uptrend (Blue candles) Close below the EMA → Downtrend (Red candles) Otherwise → Neutral (Gray candles) Candle colors automatically change to show the current market trend at a glance. ■ 2. Always-Visible MACD Golden/Dead Cross Signals Based on MACD settings (12, 26, 9) Golden Cross → Blue upward triangle below the bar Dead Cross → Red downward triangle above the bar Signals are always displayed, regardless of trend state, making them useful for timing entries and exits. ■ 3. EMA Line Display The EMA used for trend detection is plotted as an orange line. 🎯 Ideal Use Cases This indicator is designed for traders who want to: Quickly visualize trend direction through candle colors Always monitor MACD cross signals Improve decision-making with simple, intuitive visual cues
Pine Script®指標
由hana-87ch提供
Tamil | Trend Signal Dashboard for trading“Tamil | Trend Signal in Dashboard” is a multi-confirmation trend and signal tool that combines Supertrend, RSI/ADX trend strength, and dual QQE into one clean dashboard on the chart. It only prints STRONG BUY / STRONG SELL when all components align, and it also gives clear, rule-based exit signals. ⸻ What it uses • RSI + ADX + ATR trend block • ADX (with custom length & threshold) to measure trend strength • +DI / –DI to define bullish or bearish direction • Optional session filter so signals only appear in your trading window • Custom Supertrend • ATR-based bands with adjustable period & multiplier • Plots trend line on chart and shows Buy/Sell flip labels when Supertrend reverses • Dual QQE MOD engine • Two QQE/RSI streams (primary & secondary) • Bollinger bands around QQE line to confirm true momentum breakouts • Defines QQE Bullish / Bearish states • Secondary RSI Histogram logic • Tracks RSI distance from the 50 line • Detects “peak & decline” on the histogram for momentum-based exits ⸻ Signals & Exits • Entry • Strong Buy: Supertrend bullish + strong ADX + DI bullish + QQE bullish • Strong Sell: Supertrend bearish + strong ADX + DI bearish + QQE bearish • Background is softly colored green/red while alignment is active • Exit (configurable) • Alignment lost (trend components no longer agree), and/or • First peak-and-decline in the secondary RSI histogram • Shows Exit Buy / Exit Sell markers and fires dedicated alerts ⸻ Dashboard & Alerts A compact table in the top-right shows live status of: • Supertrend • ADX value & strength check • Direction from DI • QQE state • Secondary RSI histogram slope • Overall Alignment and current Signal (Hold / Strong Buy / Strong Sell / Exit)
Pine Script®指標
由haimpts提供
FAIR VALUE CEDEARSFair Value CEDEARS y ETFs Important: load together with the CEDEARdata library. Returns the “Fair Value” of CEDEAR and CEDEAR-based ETF prices traded on ByMA, using as a reference the price of the underlying ordinary share or ETF traded on the NYSE or NASDAQ. It multiplies the NYSE/NASDAQ price by the CEDEAR or ETF conversion ratio and converts the currency to ARS or Dólar MEP using the exchange rate implied by the AL30/AL30C ratio for tickers quoted in ARS (e.g., AAPL) and AL30D/AL30C for tickers quoted in Dólar MEP (e.g., AAPLD). If the CEDEAR or ETF quote is higher than Fair Value, it highlights the difference in red; if it is lower, it highlights it in green. If any of the markets is closed or in an auction period, it notifies the user and changes the background color. By default, the CEDEAR or ETF quote used is the last price, but the user may choose to use the BID or OFFER instead. This allows CEDEAR and ETF buyers to compare Fair Value against the OFFER, while sellers may prefer to measure Fair Value against the BID of the local instrument. BCBA:AAPL BCBA:AAPLD NASDAQ:AAPL BCBA:SPY BCBA:TSLA BCBA:TSLAD CEDEARS ETFs ByMA
Pine Script®指標
由EcoValores提供
Momentum Marks - Buy and Sell IndicatorsIndicator Overview This tool is a multi‑factor entry signal system designed to highlight potential BUY and SHORT opportunities directly on the chart with hard‑anchored labels. It combines trend, momentum, volatility, and volume conditions to reduce noise and provide more reliable trade signals. Core Components - EMA Trend Filter - Uses a fast EMA (9) and a slow EMA (21) to determine short‑term vs. medium‑term trend direction. - Signals only trigger when price aligns with the EMA relationship (e.g., fast above slow for shorts, fast below slow for buys). - RSI Extremes - RSI thresholds (default 65/35) ensure signals occur only when momentum is stretched into overbought or oversold zones. - Helps avoid false triggers during neutral conditions. - Linear Regression Channel - A regression line with ±2 standard deviation bands defines dynamic support and resistance. - Signals require price to be near the top (for shorts) or bottom (for buys) of the channel, adding a structural filter. - TTM Squeeze Histogram - Measures momentum shifts by comparing price to its EMA. - Signals require histogram confirmation: weakening momentum for shorts, strengthening momentum for buys. - Volume Confirmation - Volume must fade for shorts or surge for buys relative to a 20‑period average. - Ensures signals align with participation strength. Visual Output - Red “SHORT” label above bars when all short conditions align. - Green “BUY” label below bars when all buy conditions align. - Optional plotshape arrows (triangles) as backup markers. - Linear regression channel shaded between upper and lower bands. - EMA lines plotted for trend context. Key Features - Hard‑anchored labels: Signals are locked to confirmed bars, preventing repainting or shifting. - Multi‑layer confirmation: Requires trend, momentum, volume, and structure to align before firing. - Customizable inputs: Users can adjust EMA lengths, RSI thresholds, regression length, and squeeze parameters.
Pine Script®指標
由alexh1166提供
Alson Chew PAM EXE and Mother BarIndicators for strategies taught by Alson Chew's Price Action Manipulation (PAM) course Two functions. First it identifies EXE bars (Pin, Mark, Icecream bars). Second it identifies Mother bars and draws an extension line for 6 bars. Applicable to all time frames and can customise how many signals to show. To be used in conjunction with trading strategies like - 20 SMA, 50 SMA, 200 SMA FS formation - Force Bottom, Force Top FS formation - UR1 and DR1 using EXE Bar
Pine Script®指標
由LimYX提供
1
猛の掟・初動完成版//@version=5 indicator("猛の掟・初動スクリーナー_完成版", overlay=true) // ============================= // 入力パラメータ // ============================= emaLenShort = input.int(5, "短期EMA", minval=1) emaLenMid = input.int(13, "中期EMA", minval=1) emaLenLong = input.int(26, "長期EMA", minval=1) macdFastLen = input.int(12, "MACD Fast", minval=1) macdSlowLen = input.int(26, "MACD Slow", minval=1) macdSignalLen = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05) volMaLen = input.int(5, "出来高平均日数", minval=1) volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1) volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1) highLookback = input.int(60, "直近高値の参照本数", minval=10) pullbackMin = input.float(5.0, "押し目最小 ", step=0.5) pullbackMax = input.float(15.0, "押し目最大 ", step=0.5) breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1) wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5) // ★ シグナル表示 ON/OFF showMou = input.bool(true, "猛シグナルを表示") showKaku = input.bool(true, "確シグナルを表示") // ============================= // 基本指標計算 // ============================= emaShort = ta.ema(close, emaLenShort) emaMid = ta.ema(close, emaLenMid) emaLong = ta.ema(close, emaLenLong) = ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen) volMa = ta.sma(volume, volMaLen) volRatio = volMa > 0 ? volume / volMa : 0.0 recentHigh = ta.highest(high, highLookback) prevHigh = ta.highest(high , highLookback) pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0 // ローソク足 body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low // ============================= // A：トレンド条件 // ============================= emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong goldenOrder = emaShort > emaMid and emaMid > emaLong aboveEma2 = close > emaLong and close > emaLong trendOK = emaUp and goldenOrder and aboveEma2 // ============================= // B：MACD条件 // ============================= macdGC = ta.crossover(macdLine, macdSignal) macdNearZero = math.abs(macdLine) <= macdZeroTh macdUp = macdLine > macdLine macdOK = macdGC and macdNearZero and macdUp // ============================= // C：出来高条件 // ============================= volInitOK = volRatio >= volMinRatio // 8条件用 volStrongOK = volRatio >= volStrongRatio // 三点シグナル用 volumeOK = volInitOK // ============================= // D：ローソク足パターン // ============================= isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open isBullEngulf = close > open and open < close and close > open isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open candleOK = isBullPinbar or isBullEngulf or isBigBullCross // ============================= // E：価格帯（押し目＆レジブレ） // ============================= pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax isBreakout = close > prevHigh and close <= prevHigh barsSinceBreak = ta.barssince(isBreakout) afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort priceOK = pullbackOK and afterBreakPullbackOK // ============================= // 8条件の統合 // ============================= allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK // ============================= // 最終三点シグナル // ============================= longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0 volumeSpike = volStrongOK finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike buyConfirmed = allRulesOK and finalThreeSignal // ============================= // 描画 // ============================= plot(emaShort, color=color.new(color.yellow, 0), title="EMA 短期(5)") plot(emaMid, color=color.new(color.orange, 0), title="EMA 中期(13)") plot(emaLong, color=color.new(color.blue, 0), title="EMA 長期(26)") // シグナル表示（ON/OFF付き） plotshape(showMou and allRulesOK, title="猛の掟 8条件クリア候補", location=location.belowbar, color=color.new(color.lime, 0), text="猛") plotshape(showKaku and buyConfirmed, title="猛の掟 最終三点シグナル確定", location=location.belowbar, color=color.new(color.yellow, 0), text="確") // ============================= // アラート条件 // ============================= alertcondition(allRulesOK, title="猛の掟 8条件クリア候補", message="猛の掟 8条件クリア候補シグナル発生") alertcondition(buyConfirmed, title="猛の掟 最終三点シグナル確定", message="猛の掟 最終三点シグナル＝買い確定")
Pine Script®指標
由morishima0ut6b提供
Stochastic + MACD Alignment Signals//@version=5 indicator("Stochastic + MACD Alignment Signals", overlay=true) // ————— INPUTS ————— stochLength = input.int(14, "Stoch Length") k = input.int(3, "K Smoothing") d = input.int(3, "D Smoothing") macdFast = input.int(12, "MACD Fast Length") macdSlow = input.int(26, "MACD Slow Length") macdSignal = input.int(9, "MACD Signal Length") emaLen = input.int(21, "EMA Filter Length") // ————— CALCULATIONS ————— // Stochastic kRaw = ta.stoch(close, high, low, stochLength) kSmooth = ta.sma(kRaw, k) dSmooth = ta.sma(kSmooth, d) // MACD macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow) signal = ta.ema(macd, macdSignal) hist = macd - signal // EMA Filter ema = ta.ema(close, emaLen) // ————— SIGNAL CONDITIONS ————— // BUY CONDITIONS stochBull = ta.crossover(kSmooth, dSmooth) and kSmooth < 20 macdBull = ta.crossover(macd, signal) or (hist > 0) emaBull = close > ema buySignal = stochBull and macdBull and emaBull // SELL CONDITIONS stochBear = ta.crossunder(kSmooth, dSmooth) and kSmooth > 80 macdBear = ta.crossunder(macd, signal) or (hist < 0) emaBear = close < ema sellSignal = stochBear and macdBear and emaBear // ————— PLOTTING SIGNALS ————— plotshape(buySignal, title="BUY", style=shape.labelup, color=color.new(color.green, 0), size=size.large, text="BUY") plotshape(sellSignal, title="SELL", style=shape.labeldown, color=color.new(color.red, 0), size=size.large, text="SELL") // ————— OPTIONAL ALERTS ————— alertcondition(buySignal, title="Buy Signal", message="Stoch + MACD Alignment BUY") alertcondition(sellSignal, title="Sell Signal", message="Stoch + MACD Alignment SELL")
Pine Script®指標
由jcuria03提供
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure. To use this engine successfully: Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points. Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the signal is rejected. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. Module 2: Correlation Trend Indicator (CTI) Logic: Measures how closely the current price action correlates to a straight line (a perfect trend). Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal). Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes. Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish. Module 6: Crypto Market Breadth (CMB) Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts). Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data. Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother). Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis. Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry. Module 10: Simple Harmonic Oscillator Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. Module 11: HSRS Compression / Super AO Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO). Function: Great for catching explosive moves resulting from consolidation. Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040). Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down. ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX). CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment. 6. Risk Management & The Dump Protection Team (DPT) Even in this Indicator version, the RM logic runs to generate Exit Signals. Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot). Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse"). Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility. Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders to filter out noise. Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes. Visuals: Blue Plot: Buy/Sell Signal. Yellow Plot: Risk Management (RM) / DPT Close Signal. Green/Lime/Olive Plots: Take Profit hits. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Pine Script®指標
由SignalLynx提供
Fanfans MACD+RSIFanfans Minimalist Trading Indicator (Pine Script v6) Overview The Fanfans Minimalist Indicator is a comprehensive multi-condition trading signal tool built for TradingView (Pine Script v6). It integrates trend analysis, momentum filters, and position management rules to generate high-confidence long/short signals, with built-in risk controls to limit position exposure. Designed for clarity and practicality, it balances signal sensitivity with false-signal reduction, suitable for various assets (stocks, cryptocurrencies, forex, futures) and timeframes (1H, 4H, daily). Core Features Multi-Indicator Convergence: Combines WMA trend lines, MACD (dual-period), and RSI filters to validate signals. Position Risk Management: Limits maximum 2 concurrent positions per direction; prohibits re-entering the same direction after a stop-loss (only opposite direction allowed). Flexible Debug Mode: Loosens filters for testing purposes, helping users verify signal triggers before tightening conditions. Visual Clarity: Color-coded bars, dynamic labels, and status panels provide real-time trading context. Customizable Parameters: All key inputs (indicator periods, risk multiples, position limits) are adjustable.
Pine Script®指標
由ms023999提供
猛の掟・初動スクリーナー v3//@version=5 indicator("猛の掟・初動スクリーナー v3", overlay=true) // =============================== // 1. 移動平均線（EMA）設定 // =============================== ema5 = ta.ema(close, 5) ema13 = ta.ema(close, 13) ema26 = ta.ema(close, 26) plot(ema5, title="EMA5", color=color.orange, linewidth=2) plot(ema13, title="EMA13", color=color.new(color.blue, 0), linewidth=2) plot(ema26, title="EMA26", color=color.new(color.gray, 0), linewidth=2) // =============================== // 2. MACD（10,26,9）設定 // =============================== fast = ta.ema(close, 10) slow = ta.ema(close, 26) macd = fast - slow signal = ta.ema(macd, 9) macdBull = ta.crossover(macd, signal) // =============================== // 3. 初動判定ロジック // =============================== // ゴールデン並び条件 goldenAligned = ema5 > ema13 and ema13 > ema26 // ローソク足が26EMAより上 priceAbove26 = close > ema26 // 3条件すべて満たすと「確」 bullEntry = goldenAligned and priceAbove26 and macdBull // =============================== // 4. スコア（0=なし / 1=猛 / 2=確） // =============================== score = bullEntry ? 2 : (goldenAligned ? 1 : 0) // =============================== // 5. スコアの色分け // =============================== scoreColor = score == 2 ? color.new(color.yellow, 0) : score == 1 ? color.new(color.lime, 0) : color.new(color.gray, 80) // =============================== // 6. スコア表示（カラム） // =============================== plot(score, title="猛スコア (0=なし,1=猛,2=確)", style=plot.style_columns, color=scoreColor, linewidth=3) // 目安ライン hline(0, "なし", color=color.new(color.gray, 80)) hline(1, "猛", color=color.new(color.lime, 60)) hline(2, "確", color=color.new(color.yellow, 60)) // =============================== // 7. チャート上に「確」ラベル // =============================== plotshape(score == 2, title="初動確定", style=shape.labelup, text="確", color=color.yellow, textcolor=color.black, size=size.tiny, location=location.belowbar)
Pine Script®指標
由morishima0ut6b提供
MC² Tight Compression Screener v1.0//@version=5 indicator("MC² Tight Compression Screener v1.0", overlay=false) // ———————————————— // Inputs // ———————————————— lookbackHigh = input.int(50, "Near High Lookback") atrLength = input.int(14, "ATR Length") volLength = input.int(20, "Volume SMA Length") thresholdNear = input.float(0.97, "Near Break % (0.97 = within 3%)") // ———————————————— // Conditions // ———————————————— // ATR Compression: shrinking 3 days in a row atr = ta.atr(atrLength) atrCompression = atr < atr and atr < atr and atr < atr // Price is near recent highs recentHigh = ta.highest(high, lookbackHigh) nearBreak = close > recentHigh * thresholdNear // Volume not dead (preferably building) volAvg = ta.sma(volume, volLength) volOK = volume > volAvg // Final signal (binary) signal = atrCompression and nearBreak and volOK // ———————————————— // Plot (for Pine Screener) // ———————————————— plot(signal ? 1 : 0, title="MC2 Compression Signal")
Pine Script®指標
由mason_fibkins提供
SuperWaveTrendWaveTrend with Crosses + HyperWave + Confluence Zones + Thresholds SuperWaveTrend — Advanced Momentum System Integrating WaveTrend, HyperWave, Confluence Zones & Threshold Filters SuperWaveTrend is an enhanced momentum indicator built upon the classic WaveTrend (WT) framework. It integrates HyperWave extreme zones, top/bottom Confluence Zones, trend hesitation Threshold regions, WT crossover reversal signals, and more. This indicator is suitable for: • Trend following • Swing trading • Reversal spotting • Overbought/oversold structure analysis • Extreme market sentiment detection Whether you’re scalping or planning swing entries, SuperWaveTrend offers a more precise and visually intuitive momentum structure. Key Features 1. WaveTrend Core Structure (WT1 / WT2) • WT1: Primary momentum line • WT2: Signal line • Momentum Spread Area (WT1 − WT2) visualization highlights shifts in trend strength 2. HyperWave Extreme Momentum Zones Background highlight automatically appears during extreme momentum conditions: • Purple-red: Extreme bullish zone • Orange: Extreme bearish zone Helps identify: • Blow-off tops • Panic sell-offs • Extreme trend continuation phases 3. Confluence Zones (Top/Bottom Resonance) Combines overbought/oversold signals with momentum structure to mark: • Gold top zones → weakening bullish momentum • Blue bottom zones → weakening bearish momentum Useful for detecting: • Bearish divergence tops • Reversal bounces • High-level exhaustion / low-level capitulation 4. Threshold Hesitation Zone (Gray) When WT1 and WT2 converge tightly, a gray background highlights: • Unclear direction • Trend weakening • Higher risk of false signals Generally not recommended for new entries. 5. WT Crossover Signals (Cross Signals) WT1 and WT2 crossovers are marked with color-coded dots: • Green: Bullish cross • Red: Bearish cross A core signal for capturing reversal shifts. ⚠️ Creator’s Disclaimer & Usage Insights ***WARNING*** SuperWaveTrend is not designed for extremely strong one-sided trends. During highly impulsive markets, signals may become delayed or less reliable. Optimal Timeframes Based on extensive backtesting, In swing-trading environments, the indicator performs most effectively on the 1H–4H timeframes, where momentum cycles form cleanly and Confluence Zones provide high-probability setups. Trading Insights • In swing-trading environments, Confluence Zones often coincide with excellent long/short opportunities, especially when momentum exhaustion is confirmed. • When paired with a Bollinger Bands framework, the system exhibits significantly improved accuracy and structure clarity. Have fun, BigTrunks
Pine Script®指標
由BigTrunks提供
30-Minute High and Low30-Minute High and Low Levels This indicator plots the previous 30-minute candle’s high and low on any intraday chart. These levels are widely used by intraday traders to identify key breakout zones, liquidity pools, micro-range boundaries, and early trend direction. Features: • Automatically pulls the previous 30-minute candle using higher-timeframe HTF requests • Displays the HTF High (blue) and HTF Low (red) on lower-timeframe charts • Works on all intraday timeframes (1m, 3m, 5m, 10m, etc.) • Levels stay fixed until the next 30-minute bar completes • Ideal for ORB strategies, scalping, liquidity sweeps, and reversal traps Use Cases: • Watch for breakouts above the 30-minute high • Monitor for liquidity sweeps and fakeouts around the high/low • Treat the mid-range as a magnet during consolidation • Combine with VWAP or EMA trend structure for high-precision intraday setups This indicator is simple, fast, and designed for traders who rely on HTF micro-structure to guide intraday execution.
Pine Script®指標
由MomentumCraft_提供
Golden Cross RSI Daily Helper (US Stocks)//@version=5 indicator("Golden Cross RSI Daily Helper (US Stocks)", overlay=true, timeframe="D", timeframe_gaps=true) //========= الإعدادات الأساسية =========// emaFastLen = input.int(50, "EMA سريع (اتجاه قصير المدى)") emaSlowLen = input.int(200, "EMA بطيء (اتجاه طويل المدى)") rsiLen = input.int(14, "فترة RSI") rsiMin = input.float(40.0, "حد RSI الأدنى للدخول", 0.0, 100.0) rsiMax = input.float(60.0, "حد RSI الأعلى للدخول", 0.0, 100.0) slBufferPerc = input.float(1.5, "نسبة البفر لوقف الخسارة (%) أسفل/أعلى EMA200", 0.1, 5.0) rrRatio = input.float(2.0, "نسبة العائد إلى المخاطرة (R:R)", 1.0, 5.0) //========= حساب المؤشرات =========// emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsiVal = ta.rsi(close, rsiLen) // اتجاه السوق trendUp = emaFast > emaSlow trendDown = emaFast < emaSlow // ارتداد السعر من EMA50 أو EMA200 تقريبياً bounceFromEmaFast = close > emaFast and low <= emaFast bounceFromEmaSlow = close > emaSlow and low <= emaSlow bounceLong = bounceFromEmaFast or bounceFromEmaSlow bounceFromEmaFastShort = close < emaFast and high >= emaFast bounceFromEmaSlowShort = close < emaSlow and high >= emaSlow bounceShort = bounceFromEmaFastShort or bounceFromEmaSlowShort // فلتر RSI rsiOk = rsiVal >= rsiMin and rsiVal <= rsiMax //========= شروط الدخول =========// // شراء longSignal = trendUp and bounceLong and rsiOk // بيع shortSignal = trendDown and bounceShort and rsiOk //========= حساب وقف الخسارة والأهداف =========// // نستخدم سعر إغلاق شمعة الإشارة كسعر دخول افتراضي entryPriceLong = close entryPriceShort = close // وقف الخسارة حسب EMA200 + البفر slLong = emaSlow * (1.0 - slBufferPerc / 100.0) slShort = emaSlow * (1.0 + slBufferPerc / 100.0) // المسافة بين الدخول ووقف الخسارة riskLong = math.max(entryPriceLong - slLong, syminfo.mintick) riskShort = math.max(slShort - entryPriceShort, syminfo.mintick) // هدف الربح حسب R:R tpLong = entryPriceLong + rrRatio * riskLong tpShort = entryPriceShort - rrRatio * riskShort //========= الرسم على الشارت =========// // رسم المتوسطات plot(emaFast, title="EMA 50", color=color.new(color.blue, 0), linewidth=2) plot(emaSlow, title="EMA 200", color=color.new(color.orange, 0), linewidth=2) // تلوين الخلفية حسب الاتجاه bgcolor(trendUp ? color.new(color.green, 92) : trendDown ? color.new(color.red, 92) : na) // إشارة شراء plotshape( longSignal, title = "إشارة شراء", style = shape.triangleup, location = location.belowbar, size = size.large, color = color.new(color.green, 0), text = "BUY") // إشارة بيع plotshape( shortSignal, title = "إشارة بيع", style = shape.triangledown, location = location.abovebar, size = size.large, color = color.new(color.red, 0), text = "SELL") // رسم SL و TP عند ظهور الإشارة slPlotLong = longSignal ? slLong : na tpPlotLong = longSignal ? tpLong : na slPlotShort = shortSignal ? slShort : na tpPlotShort = shortSignal ? tpShort : na plot(slPlotLong, title="وقف خسارة شراء", color=color.new(color.red, 0), style=plot.style_linebr) plot(tpPlotLong, title="هدف شراء", color=color.new(color.green, 0), style=plot.style_linebr) plot(slPlotShort, title="وقف خسارة بيع", color=color.new(color.red, 0), style=plot.style_linebr) plot(tpPlotShort, title="هدف بيع", color=color.new(color.green, 0), style=plot.style_linebr) //========= إعداد التنبيهات =========// alertcondition(longSignal, title="تنبيه إشارة شراء", message="إشارة شراء: ترند صاعد + ارتداد من EMA + RSI في المنطقة المسموحة.") alertcondition(shortSignal, title="تنبيه إشارة بيع", message="إشارة بيع: ترند هابط + ارتداد من EMA + RSI في المنطقة المسموحة.")
Pine Script®指標
由lexur_m提供