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インジケーターとストラテジー

Ripster: DTR/ATR + SMA Div + RVOL🧭 Overview The indicator combines three major analytical tools into one TradingView Pine v6 script — designed for clean, at-a-glance insight into range, divergence, and volume activity. It shows: DTR vs ATR Table – current Daily True Range compared to Average True Range. SMA Price Divergence + EMA Signal – a histogram with color-coded momentum bands. RVOL Table + Candle Coloring + Change Labels – relative-volume analysis with visual cues on the chart. Short title: ripcombo Runs on chart overlay (no separate pane). 📊 1. DTR vs ATR Table Compares today’s price range (High-Low) to the average true range over a selectable length. Supports multiple smoothing methods: EMA, RMA, SMA, WMA. Table position and text size are configurable. Color logic: 🟢 ≤ 70 % of ATR → low volatility 🟡 70–90 % → average 🔴 ≥ 90 % → expanded range 📈 2. SMA Divergence + EMA Signal Computes fast (14 SMA) and slow (30 SMA) divergences of price. Plots two histograms plus an EMA signal line of the slow divergence. Visuals: Columns shaded by transparency for clarity. Rising EMA → lime line (up momentum). Falling EMA → red line (down momentum). Optional upper/lower bands and zero line provide quick overbought/oversold zones. 🔥 3. RVOL (Relative Volume) Adds powerful volume-based context: a. Table Display Shows: Candle Volume RVOL (Now) RVOL (Prev) Δ RVOL (change Now − Prev) Colors: 🔴 > 200 % (very high volume) 🟠 100–200 % (high volume) 🟡 < 100 % (normal/low volume) Δ column is green ▲ for increase, red ▼ for decrease. b. Candle Coloring (optional) Colors price candles themselves by current RVOL threshold so high-volume candles visually stand out. c. Last-Bar Label (optional) Prints a compact label on the latest candle showing: RVOL: ### % Δ: ▲/▼## % so you can instantly see the current volume strength and how it changed from the previous bar. ⚙️ User Settings All major elements are toggle-controlled: Enable/disable ATR, Divergence, or RVOL sections. Choose table positions (top/middle/bottom × left/center/right). Select text sizes, smoothing types, color modes, and visual transparency. Candle coloring + label visibility are optional. 🧠 At a Glance Component Purpose Key Visuals DTR vs ATR Measures volatility expansion One-cell colored table SMA Divergence Detects price momentum shifts Columns + EMA line + bands RVOL Analysis Highlights unusual trading volume Colored table + Δ column + candle colors + label ✅ Result You get a single on-chart tool that: Quantifies volatility, momentum, and volume context together. Highlights strong activity days (ATR & RVOL) in color. Shows whether current candle’s volume is rising or falling vs the previous. Perfect for spotting breakouts, reversals, or exhaustion moves without switching indicators.
Pine Script® インジケーター
chandrashekar_thippaniの投稿
Smart Weekly Lines — Clean & Scroll-Proof (Pine v6)Because your chart deserves structure. Elegant weekly dividers that stay aligned, scroll smoothly, and project future weeks using your wished UTC offset. Smart Weekly Lines draws precise, full-height vertical lines marking each new week — perfectly aligned to your local UTC offset. It stays clean, smooth, and consistent no matter how far you scroll. Features • Accurate weekly boundaries based on your local UTC offset (supports half-hour zones like India +5.5) • Clean, full-height lines that never cut off with zoom or scroll • Adjustable color, opacity, width, and style (solid, dashed, dotted) • Future week projection for planning and alignment • Optional visibility: show only on Daily and Intraday charts Works with any market — stocks, crypto, forex, or futures. Built for traders who value clarity, structure, and precision. Developed collaboratively with the assistance of ChatGPT under my direction and testing.
Pine Script® インジケーター
pgianpyの投稿
Squeeze Momentum MACDSqueeze Momentum MACD 🧠 Description Squeeze Momentum MACD combines the concept of market volatility compression (the “squeeze”) from Bollinger Bands (BB) and Keltner Channels (KC) with a MACD-style momentum oscillator to reveal potential breakout phases. The indicator first calculates: BB Width = Upper Band − Lower Band KC Width = Upper Band − Lower Band Then it computes their difference: Δ = BB Width − KC Width When Δ > 0 → BB width is greater than KC width → volatility is expanding → potential momentum breakout. When Δ < 0 → BB is inside KC → volatility is compressing → potential squeeze phase before expansion. This Δ value is then processed through a MACD-style calculation: MACD Line = EMA(fast) − EMA(slow) Signal Line = EMA(MACD, signal length) Histogram = MACD − Signal The result is a visual momentum oscillator that behaves like MACD but measures volatility expansion instead of price direction. 🔹 Features: Dynamic 4-color MACD & Signal lines (positive/negative + rising/falling) Optional display of raw BB & KC widths Fully adjustable parameters for BB, KC, and MACD Works on all timeframes and instruments 🔹 Ideal For: Detecting market squeezes and breakout momentum Timing entries before volatility expansion Integrating volatility and momentum into a single framework
Pine Script® インジケーター
Hay_Cの投稿
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS) Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory. It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊 ✨ Key Features • 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously. • 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum. • 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark. • 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window. • 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation. • 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout. • 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data. • 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset. 🧭 Typical Use Cases • 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation. • 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable. • 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles. ⚙️ Inputs Overview • 📝 Assets (1–4): Select up to four tickers for evaluation. • 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection. • 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows. • 🚦 Gates: Optional trend and alpha filters to refine results. • 🖥️ Display: Enable/disable table and customize colors. • 🔔 Alerts: Toggle notifications on leadership changes. 🔎 Formula Basis Jensen’s Alpha (α) is estimated as: α = E − β × E where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively. A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅ ⚠️ Disclaimer This script is for educational and analytical purposes only. It is NOT a signal. 🚫📉 It does not constitute financial advice, trading signals, or investment recommendations. 💬 The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏 Always perform your own analysis and use proper risk management. 🛡️
Pine Script® インジケーター
AriSai_TRWの投稿
Ripster Labels + Air Gaps (v6)What it shows (on one chart) EMA Clouds (current timeframe) Plots EMA 8/12/21/34/50/200 with three cloud fills: 12–21 = “fast” cloud 34–50 = “mid” cloud 50–200 = “base” cloud Cloud color: green when the faster EMA is above the slower (bullish), red/maroon/orange when below (bearish). Toggle lines vs. clouds via A) EMA Clouds settings. MTF Rails (higher-TF EMAs) For three higher timeframes (defaults 30m / 60m / 240m), draws two EMAs each (defaults 34 & 50). These are stepline-like rails you can visually use as higher-TF supports/resistances. Configure in B) MTF Rails (turn on/off, change TFs/lengths/colors). Relative Volume Box (RVol) Small table (top-center) showing: Candle Vol (formatted K/M/B if enabled) RVol = current bar volume / SMA 20 of volume (as a %) Color scale: blue (<100%), yellow (100–150%), red (>150%). Settings in C) RVol Box. DTR vs ATR Box Daily True Range (DTR = day high − day low) vs ATR(14) on the daily timeframe, with DTR as % of ATR. Placed at top-right; toggle in D) DTR/ATR Box. Ripster Trend Label (10m 12/50) Looks at a separate timeframe (default 10m): EMA 12 vs EMA 50. Bottom-right table cell shows “10m Trend ↑/↓/Sideways” (green/red/gray). Configure in E) Ripster Trend Labels (TF and lengths). Air Gaps (single EMA per TF) Three horizontal, auto-extending lines showing an EMA from 30m / 60m / 240m (default length 12). “Air gaps” are the price spaces between these lines—often lighter-resistance zones for price. Start point logic: All Bars = draw from the chart’s left Start of Day = draw from today’s first bar Bars Offset = draw from N bars back (default 100) Settings in F) Air Gaps (TFs, length, draw-from, bars-back). Inputs & where to tweak A) EMA Clouds Show EMA Clouds: master toggle Source: close (default) Lengths: 8/12/21/34/50/200 Show EMA lines: toggle plotted lines (clouds remain) B) MTF Rails Show MTF Rails TF1/TF2/TF3 (defaults 30/60/240) EMA A/B (defaults 34/50) C) RVol Box Show box Format as K/M/B: K=1e3, M=1e6, B=1e9 D) DTR/ATR Box Show DTR/ATR ATR len: default 14 (daily) E) Ripster Trend Labels Show labels Trend TF: default 10 (10-minute) Trend EMA Fast/Slow: default 12/50 F) Air Gaps Show Air Gap lines TF1/TF2/TF3 (30/60/240) EMA length: default 12 Draw from: All Bars | Start of Day | Bars Offset Bars back: used if Draw from = Bars Offset How it makes decisions Cloud bias = sign of (faster EMA − slower EMA) for each cloud pair. Example: 12>21 → fast cloud is bullish (green); 34>50 → mid cloud bullish (teal). 10m trend label = sign of (EMA12−EMA50) on the Trend TF (default 10m). RVol = volume / sma(volume, 20); formatted as a percent and color-coded. Practical read of the screen Fast cloud flips (12/21) often mark short-term momentum changes; mid cloud flips (34/50) reflect swing bias. Air Gap lines from higher TFs frequently act as support/resistance. Larger spaces between lines = “air gaps” where price can move with less friction. RVol color tells you how “real” a move is: red/yellow often confirms momentum; blue warns of thin/liquidy bars. DTR vs ATR shows if today’s range is stretched vs recent norm. Design choices (why your prior errors are gone) Removed multiline ?: chains → replaced by if/else (Pine v6 is picky about line continuations). Moved fill() calls outside of local if blocks (Pine limitation). ta.change(time("D")) != 0 makes the if condition boolean. Declared G_drawFrom / G_barsBack before startX() so identifiers exist.
Pine Script® インジケーター
chandrashekar_thippaniの投稿
ETH Smart Money Order Blocks Detector derek This script helps identify potential Order Blocks (institutional price zones) on the chart based on Breaks of Structure (BOS). It automatically highlights demand zones (green blocks) and supply zones (red blocks), making it easier to read institutional market flow. Ideal for traders using Smart Money Concepts (SMC) or market structure analysis. Compatible with any asset and timeframe. 🔹 Bullish OB = potential buy entry zone 🔹 Bearish OB = potential sell or resistance zone Author: Derek 🧠💹
Pine Script® インジケーター
ropasvansofficialの投稿
Volume Biased CandlesVolume Biased Candles This indicator visualizes the underlying volume polarity of price action by coloring candles based on directional volume bias over a rolling bucket of bars. Instead of reading price alone, each candle reflects whether buying or selling pressure has dominated within its recent volume structure — giving a more intuitive picture of volume sentiment beneath price movement. 🔹 How it works Bucket Size (n) → defines how many candles are aggregated to evaluate directional volume bias For each bucket, total up-volume and down-volume are compared to determine overall market pressure Volume Bias Score → a continuous ratio from -1 to +1, representing the relative dominance of buyers or sellers Candles are colored according to the active bias — green for positive (buying), red for negative (selling) 🔹 Use cases Visualize shifts in market control without needing divergence overlays Combine with delta divergence or price structure tools to validate entries and exits Simplify volume and price insights into an intuitive, single-chart visualization ✨ Volume Biased Candles transforms standard candles into a live sentiment gauge, revealing whether the dominant flow behind price movement is bullish or bearish.
Pine Script® インジケーター
bfoster238の投稿
SPY vs VIX SMA Slope Alignment (Adjustable Days)Use this on VIX Chart only. This indicator compares the SLOPE of the daily SMA of SPY, to the SLOPE of the Daily SMA to VIX When SPY and VIX are trending UP for the length of time that you define, you will get a GREEN ARROW on the VIX chart showing that the condition has been met. EXAMPLE: Set 3 day SMA for VIX and SPY THEN Set Look back time to 2 days ---IF SPY 3day SMA AND VIX 3day SMA are both ASCENDING during any 3 day lookback period, a green indicator arrow will be showing on the VIX Chart DO NOT Use this indicator on SPY Chart (SPY and VIX have different daily open/close times. This indicator DOES NOT work propertly on SPY Chart. But it DOES work properly on VIX chart. )
Pine Script® インジケーター
jmathews250の投稿
Asia Range Breakout Asia Range Breakout Description: Asia Range Breakout is a sophisticated, multi-filter trading tool designed to identify high-probability breakout opportunities during the core Asian trading session. By combining session-based range analysis with advanced confirmation filters like Heiken Ashi momentum, Ichimoku baseline trends, and EMA alignment, this indicator helps traders capture decisive moves while filtering out market noise. Tired of false breakouts? This system provides a structured framework to trade the Sydney and Tokyo sessions with precision and confidence. Key Features: Multi-Session Range Tracking: Monitors 6 distinct pre-defined Asian sessions (Sydney Box, Tokyo Pre-Open, Tokyo Launch, etc.). Dynamically plots High and Low boundaries for each session (Teal for Highs, Red for Lows). Individually toggleable sessions to focus on your preferred trading window. Smart Alert & Signal System: Generates alerts based on Heiken Ashi candle closings relative to session ranges. Dual-Size Signals: Differentiates between "Large" breakouts (outside the range) and "Small" signals (within the range). Configurable alert timeframe for confirmation candle closure.Built-in Sound Alerts for real-time notifications. Advanced Confirmation Filters: Heiken Ashi Momentum Filter: Ensures breakout candles have significant momentum, adjustable via a threshold multiplier. EMA 200 Filter: Confirms the breakout's alignment with the broader trend. Ichimoku Baseline (Kijun-sen) Filter: Uses a dynamic support/resistance level for additional confirmation. Ichimoku Baseline Divergence Filter: A unique feature that requires the baseline's slope to match the breakout direction (Bullish for buys, Bearish for sells). ATR Volatility Filter: (Optional) Ensures the breakout candle has sufficient range relative to recent market volatility. Visual Enhancements: Take-Profit Lines: Projects profit targets using ATR and connects consecutive alerts with a trendline. Heiken Ashi Overlay: Displays smoothed Heiken Ashi candles directly on the main chart for cleaner trend visualization. Divergence Trend Line: Visually plots the slope of the Ichimoku Baseline for quick trend assessment. Session Background Highlighter: Shades the active sessions for easy time reference. Comprehensive Debug Info Box: Provides real-time feedback on filter status, perfect for strategy validation and learning. Usage Instructions & Tips: 1. Initial Setup: Start simple! Apply the indicator to a 5-minute or 1-minute chart. Recommended Instruments: Forex: Major pairs like AUD/USD , USD/JPY or EUR/JPY. Indices: `NAS100` (Nasdaq), `US30` (Dow Jones), `JP225` (Nikkei 225). Commodities: `XAUUSD` (Gold). Initially, enable only the Sydney Box (00:30 - 03:15 UTC) as it is the most robust session, then explore others. 2. Interpreting the Signals: Large Green Arrow (Above Bar): A strong BUY signal. The Heiken Ashi candle closed above the session's High, and all enabled filters are confirmed. Small Green Arrow (Above Bar): A moderate BUY signal. The candle closed bullishly but within the session range. Large Red Arrow (Below Bar): A strong SELL signal. The Heiken Ashi candle closed below the session's Low, with filter confirmation. Small Red Arrow (Below Bar): A moderate SELL signal. The candle closed bearishly but within the session range. 3. Optimizing Your Strategy: Filter Tuning: The default filters are balanced. Adjust them based on your risk appetite: Increase the Heiken Ashi Threshold (e.g., to 0.2) for fewer, but stronger signals. Disable filters like ATR or Divergence if you find them too restrictive. The Power of Divergence: The Ichimoku Divergence filter is a powerful trend-confirmation tool. Pay close attention to it for the highest-quality signals. Use the Debug Box: Enable the "Show Debug Info Box" to see exactly why a signal did or did not trigger. This is invaluable for understanding the indicator's logic and avoiding bad trades. 4. Risk Management: The TP Lines provide a logical profit target based on market volatility. Consider using them for setting take-profit orders. Always use a stop-loss. A logical level is the opposite side of the session range (e.g., for a buy signal, place a stop below the session low). You're very welcome! I'm glad I could help you create a professional tool. Wishing you great success with your Trading! 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀
Pine Script® インジケーター
MahdiSalari8の投稿
RSI + Stochastic Combo (fixed) by howhaber# RSI + Stochastic Indicator **Summary** This indicator combines RSI and Stochastic to generate BUY and SELL signals in oversold or overbought market conditions. It merges both indicators for higher accuracy, reducing false signals. Includes visual signals on the chart, alerts, and an info label for quick analysis. --- ## 📈 How the Indicator Works ### RSI Component - Calculates standard RSI based on the specified period (`rsiLen`). - Indicates oversold (< 30) or overbought (> 70) conditions. ### Stochastic Component - Manually calculated to avoid compatibility issues. - Measures the current price position relative to the price range (highs/lows) over the selected period. - Smoothed using two SMA filters (%K and %D). ### Signal Logic **BUY Signal**: - %K crosses above %D (`ta.crossover(k, d)`). - %K < 20 (oversold market). - RSI < specified threshold (default < 40). **SELL Signal**: - %K crosses below %D (`ta.crossunder(k, d)`). - %K > 80 (overbought market). - RSI > specified threshold (default > 60). --- ## 📍 What's Displayed on the Chart - 🟢 **Green arrow** below the bar → BUY signal. - 🔴 **Red arrow** above the bar → SELL signal. - **In a separate window**: - RSI line (blue). - Stochastic %K (orange). - Stochastic %D (purple). - Reference levels: 30/70 (RSI), 20/80 (Stochastic). --- ## 🔔 Alerts - **RSI+Stoch BUY**: Notification on BUY signal. - **RSI+Stoch SELL**: Notification on SELL signal. Receive alerts via email, Telegram, or directly on the platform. --- ## 🧩 Additional Feature - Info label on the last bar, displaying: - Current RSI value. - %K and %D values. - Facilitates quick visual checks of the indicator's current state. --- ## 💡 Interpretation - **Oversold market** (confirmed by RSI and Stochastic): Likely upward reversal. - **Overbought market** (confirmed by RSI and Stochastic): Likely downward reversal. - Combining both reduces false signals and improves accuracy in choppy markets. --- ## ⚠️ Important Note This indicator is not financial advice. It is designed for technical analysis and educational purposes. Combine it with other tools like trend analysis, volume, and price patterns for better results.
Pine Script® インジケーター
howhaberの投稿
9
(RSI + CCI) × (MACD/ATR)^2⚙️ (RSI + CCI) × (MACD / ATR)² Composite — Normalized, Compressed, Dynamic Colors This advanced composite oscillator merges three powerful momentum indicators — RSI, CCI, and MACD — into one normalized and volatility-adjusted signal that reacts smoothly across all markets. By dividing MACD by ATR (Average True Range), the indicator self-scales for different symbols, and an optional tanh-like compression prevents extreme spikes while keeping the movement fluid and responsive. 🧩 Core Formula (RSI + CCI) × (MACD / ATR)² (optionally passed through a tanh compression for stability) RSI and CCI are normalized (RSI ÷ 50, CCI ÷ 100) → roughly −2 to +2 range. MACD is volatility-adjusted by ATR → scale-independent between assets. The result is centered around 0 for clear bullish/bearish momentum comparison. 🎨 Visual Features 🟢🔴 Dynamic 4-Color Histogram Positive + Rising = Strong Teal Positive + Falling = Light Teal Negative + Falling = Strong Red Negative + Rising = Light Red 🟡⚫ 4-Color Smoothing Line Positive & Rising = Bright Yellow Positive & Falling = Soft Yellow Negative & Rising = Grey Negative & Falling = Dark Grey Zero-centered layout for intuitive bullish/bearish visualization. ⚙️ Adjustable Parameters Individual RSI, CCI, and MACD lengths and sources. ATR length for volatility normalization. Optional tanh-style compression with adjustable gain (to keep values in ±1 range). Fully customizable colors and line widths for both bars and smoothing line. 🔔 Alerts Triggered automatically when the composite crosses above or below zero, signaling potential trend reversals or momentum shifts. 💡 How to Use Composite > 0 → Bullish momentum ↑ Composite < 0 → Bearish momentum ↓ A brightening line or bar = momentum accelerating. A fading color = momentum weakening or reversal forming. Combine with higher-timeframe trend filters (EMA, VWAP, Supertrend) for confirmation.
Pine Script® インジケーター
Hay_Cの投稿
2
Liquidations Aggregated (Lite)Liquidations Aggregated (Lite) The Liquidations Aggregated (Lite) script provides a unified cross-exchange visualization of short and long liquidation volumes, allowing traders to identify high-impact market events and sentiment reversals driven by forced position closures. It aggregates normalized liquidation data from Binance, Bybit, and OKX into a single coherent output, offering a consolidated perspective of derivative market stress across major venues. Core Concept Liquidations are involuntary closures of leveraged positions when margin requirements are breached. They represent points of structural orderflow imbalance, often triggering localized volatility spikes and price pivots. This indicator isolates and aggregates those liquidation volumes by direction (short vs. long), allowing traders to map where leveraged traders are being forced out and whether current market movement is driven by short covering or long capitulation. Underlying Methodology Each connected exchange provides liquidation feeds via standardized symbols (e.g., BTCUSDT.P_LQBUY or BTCUSD.P_LQSELL). The script differentiates between: Short Liquidations → Buy Volume: Forced covering of shorts, representing upward pressure. Long Liquidations → Sell Volume: Forced selling of longs, representing downward pressure. Bybit’s inverse data is normalized to align directional logic with Binance and OKX. Data is drawn through the request.security() function per symbol and per exchange, with per-exchange scaling adjustments applied to compensate for differences in reported nominal sizes (USD vs. coin-margined). The script is meant to match the calculation methods of professional-grade data sources (e.g., Velodata, Coinalyze). The value is denominated in the base currency at all times. Computation Logic Liquidation volumes are fetched separately for USD- and USDT-margined pairs on each exchange. Exchange-specific magnitude adjustments are applied to account for nominal denomination differences. Normalized liquidation buy and sell volumes are summed into two global aggregates: combinedBuyVolumeLiquidationsShort → aggregated buy volume from forced short positions closes (Short Liquidations) combinedSellVolumeLiquidationsLong → aggregated sell pressure from forced long position closes (Long Liquidations) Final series are plotted as mirrored column charts around a zero baseline for direct comparison. How to Use Apply the script to any crypto perpetual futures symbol (e.g., BTCUSDT, ETHUSDT). Observe teal bars (Buy Volume from Short Liquidations) for short squeezes and red bars (Sell Volume from Long Liquidations) for long wipes. Strong teal spikes during downtrends often indicate aggressive short liquidations leading to short-term bounces. Strong red spikes during uptrends often mark long unwinds that can trigger sharp retracements. Sustained asymmetry in either direction suggests systemic imbalance across leveraged positioning.
Pine Script® インジケーター
mxdvt07の投稿
RSI// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © xdecow //@version=5 indicator("RSI", overlay=true) g_panel = 'Panel Options' i_orientation = input.string('Vertical', 'Orientation', options = , group = g_panel) i_position = input.string('Bottom Right', 'Position', options = , group = g_panel) i_border_width = input.int(1, 'Border Width', minval = 0, maxval = 10, group = g_panel, inline = 'border') i_color_border = input.color(#000000, '', group = g_panel, inline = 'border') i_showHeaders = input.bool(true, 'Show Headers', group = g_panel) i_color_header_bg = input.color(#5d606b, 'Headers Background', group = g_panel, inline = 'header') i_color_header_text = input.color(color.white, 'Text', group = g_panel, inline = 'header') i_color_tf_bg = input.color(#2a2e39, 'Timeframe Background', group = g_panel, inline = 'tf') i_color_tf_text = input.color(color.white, 'Text', group = g_panel, inline = 'tf') i_debug = input.bool(false, 'Display colors palette (debug)', group = g_panel) // rsi bg colors g_rsi = 'RSI Colors' i_threshold_ob = input.int(70, 'Overbought Threshold', minval=51, maxval=100, group = g_rsi) i_color_ob = input.color(#128416, 'Overbought Background', inline = 'ob', group = g_rsi) i_tcolor_ob = input.color(color.white, 'Text', inline = 'ob', group = g_rsi) i_threshold_uptrend = input.int(60, 'Uptrend Threshold', minval=51, maxval=100, group = g_rsi) i_color_uptrend = input.color(#2d472e, 'Uptrend Background', inline = 'up', group = g_rsi) i_tcolor_uptrend = input.color(color.white, 'Text', inline = 'up', group = g_rsi) i_color_mid = input.color(#131722, 'No Trend Background', group = g_rsi, inline = 'mid') i_tcolor_mid = input.color(#b2b5be, 'Text', group = g_rsi, inline = 'mid') i_threshold_downtrend = input.int(40, 'Downtrend Threshold', group = g_rsi, minval=0, maxval=49) i_color_downtrend = input.color(#5b2e2e, 'Downtrend Background', group = g_rsi, inline = 'down') i_tcolor_downtrend = input.color(color.white, 'Text', group = g_rsi, inline = 'down') i_threshold_os = input.int(30, 'Oversold Threshold', minval=0, maxval=49, group = g_rsi) i_color_os = input.color(#db3240, 'Oversold Background', group = g_rsi, inline = 'os') i_tcolor_os = input.color(color.white, 'Text', group = g_rsi, inline = 'os') g_rsi1 = 'RSI #1' i_rsi1_enabled = input.bool(true, title = 'Enabled', group = g_rsi1) i_rsi1_tf = input.timeframe('5', 'Timeframe', group = g_rsi1) i_rsi1_len = input.int(14, 'Length', minval = 1, group = g_rsi1) i_rsi1_src = input.source(close, 'Source', group = g_rsi1) * 10000 v_rsi1 = i_rsi1_enabled ? request.security(syminfo.tickerid, i_rsi1_tf, ta.rsi(i_rsi1_src, i_rsi1_len)) : na g_rsi2 = 'RSI #2' i_rsi2_enabled = input.bool(true, title = 'Enabled', group = g_rsi2) i_rsi2_tf = input.timeframe('15', 'Timeframe', group = g_rsi2) i_rsi2_len = input.int(14, 'Length', minval = 1, group = g_rsi2) i_rsi2_src = input.source(close, 'Source', group = g_rsi2) * 10000 v_rsi2 = i_rsi2_enabled ? request.security(syminfo.tickerid, i_rsi2_tf, ta.rsi(i_rsi2_src, i_rsi2_len)) : na g_rsi3 = 'RSI #3' i_rsi3_enabled = input.bool(true, title = 'Enabled', group = g_rsi3) i_rsi3_tf = input.timeframe('60', 'Timeframe', group = g_rsi3) i_rsi3_len = input.int(14, 'Length', minval = 1, group = g_rsi3) i_rsi3_src = input.source(close, 'Source', group = g_rsi3) * 10000 v_rsi3 = i_rsi3_enabled ? request.security(syminfo.tickerid, i_rsi3_tf, ta.rsi(i_rsi3_src, i_rsi3_len)) : na g_rsi4 = 'RSI #4' i_rsi4_enabled = input.bool(true, title = 'Enabled', group = g_rsi4) i_rsi4_tf = input.timeframe('240', 'Timeframe', group = g_rsi4) i_rsi4_len = input.int(14, 'Length', minval = 1, group = g_rsi4) i_rsi4_src = input.source(close, 'Source', group = g_rsi4) * 10000 v_rsi4 = i_rsi4_enabled ? request.security(syminfo.tickerid, i_rsi4_tf, ta.rsi(i_rsi4_src, i_rsi4_len)) : na g_rsi5 = 'RSI #5' i_rsi5_enabled = input.bool(true, title = 'Enabled', group = g_rsi5) i_rsi5_tf = input.timeframe('D', 'Timeframe', group = g_rsi5) i_rsi5_len = input.int(14, 'Length', minval = 1, group = g_rsi5) i_rsi5_src = input.source(close, 'Source', group = g_rsi5) * 10000 v_rsi5 = i_rsi5_enabled ? request.security(syminfo.tickerid, i_rsi5_tf, ta.rsi(i_rsi5_src, i_rsi5_len)) : na g_rsi6 = 'RSI #6' i_rsi6_enabled = input.bool(true, title = 'Enabled', group = g_rsi6) i_rsi6_tf = input.timeframe('W', 'Timeframe', group = g_rsi6) i_rsi6_len = input.int(14, 'Length', minval = 1, group = g_rsi6) i_rsi6_src = input.source(close, 'Source', group = g_rsi6) * 10000 v_rsi6 = i_rsi6_enabled ? request.security(syminfo.tickerid, i_rsi6_tf, ta.rsi(i_rsi6_src, i_rsi6_len)) : na g_rsi7 = 'RSI #7' i_rsi7_enabled = input.bool(false, title = 'Enabled', group = g_rsi7) i_rsi7_tf = input.timeframe('W', 'Timeframe', group = g_rsi7) i_rsi7_len = input.int(14, 'Length', minval = 1, group = g_rsi7) i_rsi7_src = input.source(close, 'Source', group = g_rsi7) * 10000 v_rsi7 = i_rsi7_enabled ? request.security(syminfo.tickerid, i_rsi7_tf, ta.rsi(i_rsi7_src, i_rsi7_len)) : na g_rsi8 = 'RSI #8' i_rsi8_enabled = input.bool(false, title = 'Enabled', group = g_rsi8) i_rsi8_tf = input.timeframe('W', 'Timeframe', group = g_rsi8) i_rsi8_len = input.int(14, 'Length', minval = 1, group = g_rsi8) i_rsi8_src = input.source(close, 'Source', group = g_rsi8) * 10000 v_rsi8 = i_rsi8_enabled ? request.security(syminfo.tickerid, i_rsi8_tf, ta.rsi(i_rsi8_src, i_rsi8_len)) : na g_rsi9 = 'RSI #9' i_rsi9_enabled = input.bool(false, title = 'Enabled', group = g_rsi9) i_rsi9_tf = input.timeframe('W', 'Timeframe', group = g_rsi9) i_rsi9_len = input.int(14, 'Length', minval = 1, group = g_rsi9) i_rsi9_src = input.source(close, 'Source', group = g_rsi9) * 10000 v_rsi9 = i_rsi9_enabled ? request.security(syminfo.tickerid, i_rsi9_tf, ta.rsi(i_rsi9_src, i_rsi9_len)) : na g_rsi10 = 'RSI #10' i_rsi10_enabled = input.bool(false, title = 'Enabled', group = g_rsi10) i_rsi10_tf = input.timeframe('W', 'Timeframe', group = g_rsi10) i_rsi10_len = input.int(14, 'Length', minval = 1, group = g_rsi10) i_rsi10_src = input.source(close, 'Source', group = g_rsi10) * 10000 v_rsi10 = i_rsi10_enabled ? request.security(syminfo.tickerid, i_rsi10_tf, ta.rsi(i_rsi10_src, i_rsi10_len)) : na f_StrPositionToConst(_p) => switch _p 'Top Left' => position.top_left 'Top Right' => position.top_right 'Top Center' => position.top_center 'Middle Left' => position.middle_left 'Middle Right' => position.middle_right 'Middle Center' => position.middle_center 'Bottom Left' => position.bottom_left 'Bottom Right' => position.bottom_right 'Bottom Center' => position.bottom_center => position.bottom_right f_timeframeToHuman(_tf) => seconds = timeframe.in_seconds(_tf) if seconds < 60 _tf else if seconds < 3600 str.tostring(seconds / 60) + 'm' else if seconds < 86400 str.tostring(seconds / 60 / 60) + 'h' else switch _tf "1D" => "D" "1W" => "W" "1M" => "M" => str.tostring(_tf) type TPanel table src = na bool vertical_orientation = true int row = 0 int col = 0 method incCol(TPanel _panel) => if _panel.vertical_orientation _panel.col += 1 else _panel.row += 1 method incRow(TPanel _panel) => if not _panel.vertical_orientation _panel.col += 1 _panel.row := 0 else _panel.row += 1 _panel.col := 0 method add(TPanel _panel, string _v1, color _bg1, color _ctext1, string _v2, color _bg2, color _ctext2) => table.cell(_panel.src, _panel.col, _panel.row, _v1, text_color = _ctext1, bgcolor = _bg1) _panel.incCol() table.cell(_panel.src, _panel.col, _panel.row, _v2, text_color = _ctext2, bgcolor = _bg2) _panel.incRow() f_bg(_rsi) => c_line = na(_rsi) ? i_color_mid : _rsi >= i_threshold_ob ? i_color_ob : _rsi >= i_threshold_uptrend ? i_color_uptrend : _rsi <= i_threshold_os ? i_color_os : _rsi <= i_threshold_downtrend ? i_color_downtrend : i_color_mid f_rsi_text_color(_rsi) => c_line = na(_rsi) ? i_tcolor_mid : _rsi >= i_threshold_ob ? i_tcolor_ob : _rsi >= i_threshold_uptrend ? i_tcolor_uptrend : _rsi <= i_threshold_os ? i_tcolor_os : _rsi <= i_threshold_downtrend ? i_tcolor_downtrend : i_tcolor_mid f_formatRsi(_rsi) => na(_rsi) ? 'N/A' : str.tostring(_rsi, '0.00') if barstate.islast v_panel = TPanel.new(vertical_orientation = i_orientation == 'Vertical') v_max_rows = 20 v_panel.src := table.new(f_StrPositionToConst(i_position), v_max_rows, v_max_rows, border_width = i_border_width, border_color = i_color_border) if i_showHeaders v_panel.add('TF', i_color_header_bg, i_color_header_text, 'RSI', i_color_header_bg, i_color_header_text) if i_rsi1_enabled v_panel.add(f_timeframeToHuman(i_rsi1_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi1), f_bg(v_rsi1), f_rsi_text_color(v_rsi1)) if i_rsi2_enabled v_panel.add(f_timeframeToHuman(i_rsi2_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi2), f_bg(v_rsi2), f_rsi_text_color(v_rsi2)) if i_rsi3_enabled v_panel.add(f_timeframeToHuman(i_rsi3_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi3), f_bg(v_rsi3), f_rsi_text_color(v_rsi3)) if i_rsi4_enabled v_panel.add(f_timeframeToHuman(i_rsi4_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi4), f_bg(v_rsi4), f_rsi_text_color(v_rsi4)) if i_rsi5_enabled v_panel.add(f_timeframeToHuman(i_rsi5_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi5), f_bg(v_rsi5), f_rsi_text_color(v_rsi5)) if i_rsi6_enabled v_panel.add(f_timeframeToHuman(i_rsi6_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi6), f_bg(v_rsi6), f_rsi_text_color(v_rsi6)) if i_rsi7_enabled v_panel.add(f_timeframeToHuman(i_rsi7_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi7), f_bg(v_rsi7), f_rsi_text_color(v_rsi7)) if i_rsi8_enabled v_panel.add(f_timeframeToHuman(i_rsi8_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi8), f_bg(v_rsi8), f_rsi_text_color(v_rsi8)) if i_rsi9_enabled v_panel.add(f_timeframeToHuman(i_rsi9_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi9), f_bg(v_rsi9), f_rsi_text_color(v_rsi9)) if i_rsi10_enabled v_panel.add(f_timeframeToHuman(i_rsi10_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi10), f_bg(v_rsi10), f_rsi_text_color(v_rsi10)) if i_debug t = table.new(position.middle_center, 21, 20, border_width = i_border_width, border_color = i_color_border) v_panel2 = TPanel.new(t, vertical_orientation = i_orientation == 'Vertical') v_panel2.add('Debug', i_color_header_bg, i_color_header_text, 'Colors', i_color_header_bg, i_color_header_text) demo = map.new() map.put(demo, 'Overbought', i_threshold_ob) map.put(demo, 'Uptrend', i_threshold_uptrend) map.put(demo, 'No Trend', 50) map.put(demo, 'Downtrend', i_threshold_downtrend) map.put(demo, 'Oversold', i_threshold_os) demoKeys = map.keys(demo) for key in demoKeys tf = key rsi = map.get(demo, key) v_panel2.add(tf, i_color_tf_bg, i_color_tf_text, f_formatRsi(rsi), f_bg(rsi), f_rsi_text_color(rsi))
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