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Price Movement Alert with Previous Close as ReferenceFunctionality of the Indicator The "Price Movement Alarm with Previous Day Close as Reference" indicator is a tool that helps you monitor significant price levels based on the previous day's closing price. The indicator calculates both decline and rise thresholds in specified percentages to generate potential trade alerts. The lines on the chart represent these thresholds, and the corresponding labels show the exact percentage. Usage Instructions: Previous Day's Close: The indicator uses the previous trading day's close as the reference point. Setting Decline and Rise Percentages: You can adjust the alarm levels for declines (e.g., 0.5%, 1.0%, 1.5%, 2.0%, 2.5%, 3.0%) and rises (e.g., 0.5%, 1.0%, 1.5%, 2.0%, 2.5%, 3.0%). Lines and Labels: The indicator draws lines on the chart and displays labels that indicate the percentage of price movement. Market Analysis: Analyze the price movements to make potential trading decisions. Market in Equilibrium: A market is in equilibrium when price movements remain within a narrow range (e.g., 0.5% to 1%). During this phase, volatility is low, and there are no significant price changes. Market not in Equilibrium: A market is not in equilibrium when price movements fall outside the narrow range (e.g., above 1%). During this phase, larger price movements can occur, often triggered by news or economic events.
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morris220768の投稿
VWMA Series (Dynamic) mtf - Dual Gradient Colored"VWMA Series (Dynamic) mtf - Dual Gradient Colored" is a multi-timeframe (MTF) Volume-Weighted Moving Average (VWMA) ribbon indicator that plots up to 60 sequential VWMAs with arithmetic progression periods (e.g., 1, 4, 7, 10…). Each VWMA line is dual-gradient colored: Base hue = Greenish (#2dd204) if close > VWMA (bullish), Magenta (#ff00c8) if close < VWMA (bearish) Brightness gradient = fades from base → white as period increases (short → long-term) Uses daily resolution by default (timeframe="D"), making it ideal for higher-timeframe trend filtering on lower charts.Key FeaturesFeature Description Dynamic Periods Start + i × Increment → e.g., 1, 4, 7, 10… up to 60 terms Dual Coloring Bull/Bear + Gradient (short = vivid, long = pale) MTF Ready Plots daily VWMAs on any lower timeframe (1H, 15M, etc.) No Lag on Long Sets Predefined "best setups" eliminate repainting/lag Transparency Control Adjustable line opacity for clean visuals Scalable Up to 60 VWMAs (max iterations) Recommended Setups (No Lag)Type Example Sequence (Start, Inc, Iter) Long-Term Trend 1, 3, 30 → 1, 4, 7 … 88 93, 3, 30 → 93, 96 … 180 372, 6, 30 → 372, 378 … 546 Short-Term Momentum 1, 1, 30 → 1, 2, 3 … 30 94, 2, 30 → 94, 96 … 152 1272, 5, 30 → 1272, 1277 … 1417 Key Use CasesUse Case How to Use 1. Multi-Timeframe Trend Alignment On 1H chart, use 1, 3, 30 daily VWMAs → price above all green lines = strong uptrend 2. Dynamic Support/Resistance Cluster of long-term pale VWMAs = major S/R zone 3. Early Trend Change Detection Short-term vivid lines flip from red → green before longer ones = early bullish signal 4. Ribbon Compression/Expansion Tight bundle → consolidation; fanning out → trend acceleration 5. Mean Reversion Entries Price far from long-term VWMA cluster + short-term reversal = pullback trade 6. Volume-Weighted Fair Value Long-period VWMAs reflect true average price paid over weeks/months Visual Summary Price ↑ ████ ← Short VWMA (vivid green = close > VWMA) ███ ██ █ . . . fading to white █ ██ ███ ████ ← Long VWMA (pale = institutional average) Green lines = price above VWMA (bullish bias) Magenta lines = price below VWMA (bearish bias) Gradient = shorter (left) → brighter; longer (right) → whiter Ribbon thickness = trend strength (wide = strong, narrow = weak) Best For Swing traders using daily trend on intraday charts Volume-based strategies (VWMA > SMA) Clean, colorful trend visualization without clutter Institutional fair value anchoring via long-period VWMAs Pro Tip: Use Start=1, Increment=3, Iterations=30 on a 4H chart with timeframe="D" → perfect daily trend filter with zero lag and beautiful gradient flow.
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surfchaserの投稿
PARTH Gold Profit IndicatorWhat's Inside: ✅ What is gold trading (XAU/USD explained) ✅ Why trade gold (5 major reasons) ✅ How to make money (buy/sell mechanics) ✅ Complete trading setup using your indicator ✅ Entry rules (when to buy/sell with examples) ✅ Risk management (THE MOST IMPORTANT) ✅ Best trading times (London-NY overlap) ✅ 3 trading styles (scalping, swing, position) ✅ 6 common mistakes to avoid ✅ Realistic profit expectations ✅ Pre-trade checklist ✅ Step-by-step getting started guide ✅ Everything a beginner need
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parthraj414の投稿
Best Time Slots — Auto-Adapt (v6, TF-safe) + Range AlertsTime & binning Auto-adapt to timeframe Makes all time windows scale to your chart’s bar size (so it “just works” on 1m, 15m, 4H, Daily). • On = recommended. • Off = fixed default lengths. Minimum Bin (minutes) The size of each daily time slot we track (e.g., 5-min bins). The script uses the larger of this and your bar size. • Higher = fewer, broader slots; smoother stats. • Lower = more, narrower slots; needs more history. • Try: 5–15 on intraday, 60–240 on higher TFs. Lookback windows (used when Auto-adapt = ON) Target ER Window (minutes) How far back we look to judge Efficiency Ratio (how “straight” the move was). • Higher = stricter/smoother; fewer bars qualify as “movement”. • Lower = more sensitive. • Try: 60–120 min intraday; 240–600 min for higher TFs. Target ATR Window (minutes) How far back we compute ATR (typical range). • Higher = steadier ATR baseline. • Lower = reacts faster. • Try: 30–120 min intraday; 240–600 min higher TFs. Target Normalization Window (minutes) How far back for the average ATR (the baseline we compare to). • Higher = stricter “above average range” check. • Lower = easier to pass. • Try: ~500–1500 min. What counts as “movement” ER Threshold (0–1) Minimum efficiency a bar must have to count as movement. • Higher = only very “clean, one-direction” bars count. • Lower = more bars count. • Try: 0.55–0.65. (0.60 = balanced.) ATR Floor vs SMA(ATR) Requires range to be at least this many × average ATR. • Higher (e.g., 1.2) = demand bigger-than-usual ranges. • Lower (e.g., 0.9) = allow smaller ranges. • Try: 1.0 (above average). How history is averaged Recent Days Weight (per-day decay) Gives more weight to recent days. Example: 0.97 ≈ each day old counts ~3% less. • Higher (0.99) = slower fade (older days matter more). • Lower (0.95) = faster fade. • Try: 0.97–0.99. Laplace Prior Seen / Laplace Prior Hit “Starter counts” so early stats aren’t crazy when you have little data. • Higher priors = probabilities start closer to average; need more real data to move. • Try: Seen=3, Hit=1 (defaults). Min Samples (effective) Don’t highlight a slot unless it has at least this many effective samples (after decay + priors). • Higher = safer, but fewer highlights early. • Try: 3–10. When to highlight on the chart Min Probability to Highlight We shade/mark bars only if their slot’s historical movement probability is ≥ this. • Higher = pickier, fewer highlights. • Lower = more highlights. • Try: 0.45–0.60. Show Markers on Good Bins Draws a small square on bars that fall in a “good” slot (in addition to the soft background). Limit to market hours (optional) Restrict to Session + Session Only learn/score inside this time window (e.g., “0930-1600”). Uses the chart/exchange timezone. • Turn on if you only care about RTH. Range (chop) alerts Range START if ER ≤ Triggers range when efficiency drops below this level (price starts zig-zagging). • Higher = easier to call “range”. • Lower = stricter. Range START if ATR ≤ this × SMA(ATR) Also triggers range when ATR shrinks below this fraction of its average (volatility contraction). • Higher (e.g., 1.0) = stricter (must be at/under average). • Lower (e.g., 0.9) = easier to call range. Alerts on bar close If ON, alerts fire once per bar close (cleaner). If OFF, they can trigger intrabar (faster, noisier). Quick “what happens if I change X?” Want more highlighted times? ↓ Min Probability, ↓ ER Threshold, or ↓ ATR Floor (e.g., 0.9). Want stricter highlights? ↑ Min Probability, ↑ ER Threshold, or ↑ ATR Floor (e.g., 1.2). Want recent days to matter more? ↑ Recent Days Weight toward 0.99. On 4H/Daily, widen Minimum Bin (e.g., 60–240) and maybe lower Min Probability a bit.
Pine Script® インジケーター
hfdavidの投稿
Indian + Evening Session HighlighterThis indicator visually highlights two key trading windows for Indian instruments according to IST: Indian Session: 9:00 AM to 11:30 PM IST is shaded light orange on the chart, representing the main domestic trading hours for stocks, indices, commodities, or derivatives. Evening Session: 5:00 PM to 10:30 PM IST is shaded light red, marking the commonly followed evening window, which often captures the impact of US and European market movements. The indicator automatically overlays these session backgrounds on your chart, helping you quickly identify when price action occurs during India’s core and evening trade windows. This allows traders to focus on strategies specific to these time intervals, identify session-based volatility, and avoid trading during less active periods. If the evening session overlaps with the Indian session, the colors are layered for visual clarity.​ It is ideal for intraday traders, option strategists, and anyone monitoring Indian market rhythms or US-linked volatility impacts on Indian assets. No inputs are required; simply apply the script and view distinct session highlights for improved timing and decision making.
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ShirishShringareの投稿
No-Trade Zones UTC+7This indicator helps you visualize and backtest your preferred trading hours. For example, if you have a 9-to-5 job, you obviously can’t trade during that time — and when backtesting, you should avoid those hours too. It also marks weekends if you prefer not to trade on those days. By highlighting no-trade periods directly on the chart, you can easily see when you shouldn’t be taking trades, without constantly checking the time or date by hovering over the chart. It makes backtesting smoother and more realistic for your personal schedule.
Pine Script® インジケーター
AightBettの投稿
Swing High/Low (Adaptive)Swing High/Low (Adaptive) Overview The Indicator is a pivot point detection tool that identifies swing highs and lows with invalidation tracking. The key differentiator of this indicator is its adaptive invalidation system . Most pivot indicators simply mark every detected pivot without considering whether subsequent price action has made earlier pivots less relevant. How It Works The indicator uses Pine Script's native ta.pivotlow() and ta.pivothigh() functions combined with custom logic to detect swing points. The adaptive algorithm evaluates each potential pivot against the following criteria: For Low Pivots: Confirms a new low pivot when it's the next expected pivot type in the swing sequence If consecutive lows occur, only accepts a new low if it's lower than the previous low Marks the previous low as invalidated when a stronger low is detected For High Pivots: Confirms a new high pivot when it's the next expected pivot type in the swing sequence If consecutive highs occur, only accepts a new high if it's higher than the previous high Marks the previous high as invalidated when a stronger high is detected This approach ensures that the indicator maintains clean swing structure and automatically adjusts when price action creates stronger pivots, providing a more realistic view of support and resistance levels. Settings Pivot Settings: Left Bars : Number of bars to the left required for pivot confirmation (default: 5) Right Bars : Number of bars to the right required for pivot confirmation (default: 5) Pivot Display Settings: Toggle visibility for low and high pivots independently Customizable colors for valid pivot markers Low pivots marked with upward triangle (▲) High pivots marked with downward triangle (▼) Invalid Pivot Settings: Optional display of invalidated pivots Separate color customization for invalid low and high pivots Helps visualize where market structure expectations changed ZigZag Settings: Toggle ZigZag line display on/off Separate colors for upward and downward price swings Adjustable line width Use Cases 1. Market Structure Analysis Identify key swing points to understand the current market structure and trend direction. The adaptive invalidation feature ensures you're always looking at the most relevant pivots. 2. Support and Resistance Identification Use confirmed swing highs and lows as potential support and resistance levels for entry and exit planning. 3. Trend Confirmation The ZigZag visualization helps confirm trends by showing the sequence of higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend). Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Pine Script® インジケーター
dchunt-stackの投稿
2
Lump Sum Favorability (SPX & NDX)This indicator provides a visual dashboard to gauge the statistical favorability of deploying a "Lump Sum" investment into the SPX (S&P 500) or NDX (Nasdaq 100). The primary goal is not to time the exact market bottom, but to identify zones of significant pessimism or euphoria. Historically, periods of indiscriminate selling have represented high-probability entry points for long-term investors. The dashboard consists of two parts: 1. The Favorability Gauge: A 12-segment gauge that moves from Red (Unfavorable) to Teal (Favorable). 2. The Summary Text: An optional text box (enabled in settings) that provides a plain-English summary of the current market breadth. --- The Method: Market Breadth This indicator is not based on the price of the index itself. Price-based indicators (like an RSI on the SPX) can be misleading. In a market-cap-weighted index, a few mega-cap stocks can hold the index price up while the vast majority of "average" stocks are already in a deep bear market. This tool uses Market Breadth to measure the true, underlying health and participation of the entire market. How It Works 1. Data Source: The indicator pulls the daily percentage of companies within the selected index (SPX or NDX) that are trading above their 200-day moving average. (Data tickers: S5TH for SPX, NDTH for NDX). 2. Smoothing: This raw data is volatile. To filter out daily noise and confirm a persistent trend, the indicator calculates a 5-day Simple Moving Average (SMA) of this percentage. This is the value used by the indicator. 3. Interpretation: High Value (>= 50%): More than half of the stocks are above their long-term average. This signifies the market is "Overheated" or in a risk-on phase. The favorability for a new lump sum investment is considered Low. Low Value (< 50%): Less than half of the stocks are above their long-term average. This signifies "Oversold" conditions or capitulation. These moments historically offer the best favorability for starting a new long-term investment. --- How to Use the Indicator 1. The Favorability Gauge The gauge is designed to be intuitive: Red means "Stop/Caution," and Teal means "Go/Opportunity." Note: The gauge's logic is inverted from the data value to achieve this simplicity. Red Zone (Left): UNFAVORABLE This corresponds to a high percentage of stocks being above their 200d MA (>= 50%). The market is considered Overheated, and the favorability for a new lump sum investment is low. Teal Zone (Right): FAVORABLE This corresponds to a low percentage of stocks being above their 200d MA (< 50%). The market is considered Oversold, and the favorability for a new lump sum investment is high. 2. The Summary Text When "Show Summary Text" is enabled in the settings, a box will appear at the top-center of your chart. This box provides a clear, data-driven summary, such as: "Currently, only 22% of S&P 500 companies are above their 200-day MA. Market is Oversold." The color of this text will automatically change to match the market state (Red for Overheated, Teal for Oversold), providing instant confirmation of the gauge's reading. --- Settings Market: Choose the index to analyze: SPX (S&P 500) or NDX (Nasdaq 100). Gauge Position: Select where the gauge dashboard should appear on your chart (default is Bottom Right). Show Summary Text: Toggle the descriptive text box on or off (default is On). --- This indicator is a statistical and historical guide, not a financial advice or timing signal. It is designed to measure favorability based on past market behavior, not to provide certainty. Extreme oversold conditions can persist, and markets can always go lower. This tool should be used as one component of a broader investment and risk-management framework. Past performance is not a guarantee of future results.
Pine Script® インジケーター
Julien_Echeの投稿
WaveTrend RBF What it does WT-RBF extracts a “wave” of momentum by subtracting a fast Gaussian-weighted smoother from a slow one, then robust-normalizes that wave with a median/MAD proxy to produce a z-score (z). A short EMA of z forms the signal line. Optional dynamic thresholds use the MAD of z itself so overbought/oversold levels adapt to volatility regimes. How it’s built: Radial (Gaussian) smoothers Causal, exponentially-decaying weights over the last radius bars using σ (sigma) to control spread. fast = rbf_smooth(src, fastR, fastSig) slow = rbf_smooth(src, slowR, slowSig) wave = fast − slow (band-pass) Robust normalization A two-stage EMA approximates the median; MAD is estimated from EMA of absolute deviations and scaled by 1.4826 to be stdev-comparable. z = (wave − center) / MAD Thresholds Dynamic OB/OS: ±2.5 × MAD(z) (or fixed levels when disabled) Reading the indicator Bull Cross: z crosses above sig → momentum turning up. Bear Cross: z crosses below sig → momentum turning down. Exits / Bias flips: zero-line crosses (below 0 → exit long bias; above 0 → exit short bias). Overbought/Oversold: z > +thrOB or z < thrOS. With dynamics on, the bands widen/narrow with recent noise; with dynamics off, static guides at ±2 / ±2.5 are shown. Core Inputs Source: Price series to analyze. Fast Radius / Fast Sigma (defaults 6 / 2.5): Shorter radius/smaller σ = snappier, higher-freq. Slow Radius / Slow Sigma (defaults 14 / 5.0): Larger radius/σ = smoother, lower-freq baseline. Normalization Robust Z-Score Window (default 200): Lookback for median/MAD proxy (stability vs responsiveness). Small ε for MAD: Floor to avoid division by zero. Signal & Thresholds Dynamic Thresholds (MAD-based) (on by default): Adaptive OB/OS; toggle off to use fixed guides. Visuals Shade OB/OS Regions: Background highlights when z is beyond thresholds. Show Zero Line: Midline reference. (“Plot Cross Markers” input is present for future use.)
Pine Script® インジケーター
Cmo22の投稿
COT Index Indicator 1) One‑liner My version of the OTC COT Index indicator: a 0–120 oscillator built from CFTC COT data that shows where Commercial, Noncommercial, and Nonreportable net positions sit relative to recent extremes. 2) Short paragraph This is my version of the OTC COT Index indicator. It converts CFTC Commitments of Traders (COT) net positions into a normalized 0–120 oscillator for each trader group—Commercials, Noncommercials, and Nonreportables—so you can quickly see when positioning is near recent highs or lows. Data comes from TradingView’s official COT library and supports both “Futures Only” and “Futures and Options” reports. 3) Compact bullets What: My version of the OTC COT Index indicator Why: Quickly spot when trader groups are near positioning extremes Data: CFTC COT via TradingView/LibraryCOT/2; Futures Only or Futures & Options How: Index = 120 × (Current − Min) ÷ (Max − Min) over a configurable lookback Plots: Commercials (blue), Noncommercials (orange), Nonreportables (red) Lines: Overbought, Midline, Oversold, optional 0/100, upper/lower bounds Note: Values are relative to the chosen window; not trading advice 4) Publication‑ready (sections) Overview My version of the OTC COT Index indicator. It turns CFTC COT positioning into a 0–120 oscillator per trader group (Commercials, Noncommercials, Nonreportables) to highlight relative extremes. Data source CFTC Commitments of Traders via TradingView’s official library (TradingView/LibraryCOT/2). Supports “Futures Only” and “Futures and Options.” Method Net positions = Longs − Shorts. Index = 120 × (Current Net − Min(Net, Lookback)) ÷ (Max(Net, Lookback) − Min(Net, Lookback)). Inputs Weeks Look Back (normalization window) Weeks Look Back for Historical Hi/Los (longer reference) Report Type selection Visuals Three indexes by trader group, plus reference levels (OB/OS, Midline, optional 0/100). Notes Some symbols map to specific CFTC codes for reliability. If no relevant COT data exists for the symbol, the script reports it clearly. If you want this adapted to a specific platform’s character limits (e.g., TradingView’s publish dialog), tell me the target length and I’ll trim it to fit.
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dragos_cocos_devの投稿
BTC Confluence Score + Confirmed Signals (12m/1h)This script combines 7 different signals across multiple timeframes (12 min + 1 hour + BTC dominance), then only gives you a BUY or SELL when everything aligns. It’s designed to filter out fake-outs and help you catch momentum reversals that stick. WHAT IT’S DOING UNDER THE HOOD Timeframes 12 min (fast) → short-term trigger (RSI, Stoch RSI, volatility) 1 hour (slow) → trend confirmation (EMA structure, RSI, MACD) BTC Dominance (1 h) → strength/flow confirmation (is capital rotating into BTC or alts?) This gives you a multi-timeframe confluence, which is what professional traders look for before entering a trade. 2. The 7 “Score” Ingredients Each bar gets a “score” from –7 (super bearish) to +7 (super bullish) based on: # Condition Bullish signal (+1) Bearish signal (–1) 1 RSI (12m) RSI > 50 RSI < 50 2 RSI (1h) RSI > 50 RSI < 50 3 MACD Histogram > 0 Histogram < 0 4 BTC Dominance level > 59.8 % < 59.8 % 5 BTC Dominance trend 3 EMA > 8 EMA 3 EMA < 8 EMA 6 1h EMAs trend 50 EMA > 200 EMA and price > 50 EMA 50 EMA < 200 EMA and price < 50 EMA 7 Volatility (ATR) Current ATR > average (momentum increasing) — The Confluence Score bar at the bottom shows this numerically: 💚 +5 to +7 → Strong bullish conditions ❤️ –5 to –7 → Strong bearish conditions 🩶 Between –2 and +2 → Choppy / neutral 3️⃣ Confirmed Entry Logic (the clear triangles you see now) You’ll now see only two real actionable markers: ✅ BUY (Green Triangle Up) Triggered when: Stoch RSI crosses upward on 12 min RSI > 50 (momentum confirmation) MACD histogram > 0 (trend shift) Confluence score ≥ 4 (default threshold) This means momentum + trend + structure + volume all agree on an upward move. → Ideal for going long or closing shorts. 🚨 SELL (Red Triangle Down) Triggered when: Stoch RSI crosses downward RSI < 50 MACD histogram < 0 Confluence score ≥ 4 bearish That’s your exit / short confirmation. 4️⃣ Color Bars (Score Strength) At the bottom of the chart: 💚 Green Bars = full bullish confluence (+5 or more) 💛 Lime/Orange Bars = moderate bullish or early reversal ❤️ Red Bars = strong bearish confluence (–5 or less) 🩶 Gray Bars = chop/no edge If you prefer visual simplicity, just use: BUY = Green Triangle appears on green bars SELL = Red Triangle appears on red bars That’s your “double confirmation.” 🎯 HOW TO TRADE IT ⏱ Timeframes Use 12 min for entries (fast scalps or 1–2 hr setups). Confirm direction with the 1 hour timeframe — only trade in that direction. 💰 Entry Playbook Signal What to Do ✅ Green Triangle appears Enter long or scale in. Set stop below recent swing low. 🚨 Red Triangle appears Exit long / enter short / scale out. Bars gray or alternating Stay out — market is undecided. 🧮 Min Score Setting Default = 4 (balanced). Raise to 5 for cleaner, fewer signals. Lower to 3 for more aggressive, frequent trades. 📲 Alerts You can now create TradingView alerts using: BUY Confirmed SELL Confirmed Set alert type: “Once per bar close” — so you only get notified after confirmation, not mid-bar noise. Y ou now have your own BTC AI Confluence System: Filters all noise from RSI, MACD, EMAs, volatility, and BTC dominance Waits for perfect alignment across multiple timeframes Gives you one simple green (BUY) or red (SELL) signal Lets you scalp 1–2 % moves safely or swing trade confirmations
Pine Script® インジケーター
LAGirlgonecryptoの投稿
Buy vs Sell Liquidity + Difference (Bottom Right)Script Summary (Short Notes) ⚙️ Purpose Tracks and displays Buy Volume vs Sell Volume difference during the day, based on candle direction. Useful for spotting liquidity imbalance between buyers and sellers. 📊 How It Works Volume Classification If close > open → counts volume as Buy Volume If close < open → counts volume as Sell Volume Aggregation Timeframe You can select a timeframe (1, 2, 3, 5, 15, 30 mins) Script recalculates data from that aggregation level. Daily Reset At the start of a new trading day, totals reset to zero. Cumulative Calculation Adds all buy/sell volumes as the day progresses. Calculates: Total Volume Difference (BUY − SELL) Percentages (%)
Pine Script® インジケーター
dammucoolの投稿