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DRACO TOMAS EMA Trend Follower🐉 DRACO TOMAS EMA Trend Follower Description: The DRACO TOMAS EMA Trend Follower is a simple yet powerful trend-following strategy designed to capture directional moves based on exponential moving average (EMA) crossovers. It automatically detects trend changes and manages positions dynamically. Core Logic: The strategy uses two EMAs — a Fast EMA (default 12) and a Slow EMA (default 21) — to identify the market trend. When the Fast EMA crosses above the Slow EMA, the strategy opens a long position, signaling bullish momentum. When the Fast EMA crosses below the Slow EMA, the strategy opens a short position, signaling bearish momentum. The color of the EMAs changes dynamically: green for uptrends, red for downtrends. Exit rules: Longs are closed when the EMAs turn red (trend reversal to bearish). Shorts are closed when the EMAs turn green (trend reversal to bullish). Position Sizing: The system uses 10% of equity per trade by default, allowing flexible risk management and compounding. Purpose: Designed for traders who want a clean and efficient EMA crossover system to follow trends automatically on any timeframe or asset. Best Used For: Swing trading and trend confirmation Identifying major directional shifts Testing EMA-based momentum systems
Chiến lược Pine Script®
của tomasgudanavicius
2
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.
Chỉ báo Pine Script®
của morris220768
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.
Chỉ báo Pine Script®
của surfchaser
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
Chỉ báo Pine Script®
của parthraj414
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics Summary This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime. Pine version: v6 Overlay: false Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table Motivation: Why this design? Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime. What’s different vs. standard approaches? Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests. Architecture differences: Hardcoded A and B length families with a bucket map derived from the chart timeframe. No `request.security`; all calculations occur on the current series. Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band. Diagnostics table for transparency. Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions. How it works (technical) The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close. Parameter Guide Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag. Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets. Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action. Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations. Dark Mode — Table theme — Default: Enabled — Match your chart background for readability. Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane. Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero. Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster. Reading & Interpretation Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased. MACD vs. Signal lines: The spread corresponds to histogram height. Regimes: Strong bull: MACD above zero and Histogram above zero. Weak bull: MACD above zero and Histogram below zero. Strong bear: MACD below zero and Histogram below zero. Weak bear: MACD below zero and Histogram above zero. Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description. Practical Workflows & Combinations Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation. Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn. Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes. Behavior, Constraints & Performance Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings. Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols. Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals. Sensible Defaults & Quick Tuning Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars. Too many flips near zero: increase the dead-band slightly or raise the acceptance bars. Too sluggish in clean trends: reduce the acceptance bars by one. Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars. Want less clutter: hide the table and keep the alert. What this indicator is—and isn’t This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Chỉ báo Pine Script®
của chervolino
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.
Chỉ báo Pine Script®
của hfdavid
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.
Chỉ báo Pine Script®
của ShirishShringare
Multi-Mode Seasonality Map [BackQuant]Multi-Mode Seasonality Map A fast, visual way to expose repeatable calendar patterns in returns, volatility, volume, and range across multiple granularities (Day of Week, Day of Month, Hour of Day, Week of Month). Built for idea generation, regime context, and execution timing. What is “seasonality” in markets? Seasonality refers to statistically repeatable patterns tied to the calendar or clock, rather than to price levels. Examples include specific weekdays tending to be stronger, certain hours showing higher realized volatility, or month-end flow boosting volumes. This tool measures those effects directly on your charted symbol. Why seasonality matters It’s orthogonal alpha: timing edges independent of price structure that can complement trend, mean reversion, or flow-based setups. It frames expectations: when a session typically runs hot or cold, you size and pace risk accordingly. It improves execution: entering during historically favorable windows, avoiding historically noisy windows. It clarifies context: separating normal “calendar noise” from true anomaly helps avoid overreacting to routine moves. How traders use seasonality in practice Timing entries/exits : If Tuesday morning is historically weak for this asset, a mean-reversion buyer may wait for that drift to complete before entering. Sizing & stops : If 13:00–15:00 shows elevated volatility, widen stops or reduce size to maintain constant risk. Session playbooks : Build repeatable routines around the hours/days that consistently drive PnL. Portfolio rotation : Compare seasonal edges across assets to schedule focus and deploy attention where the calendar favors you. Why Day-of-Week (DOW) can be especially helpful Flows cluster by weekday (ETF creations/redemptions, options hedging cadence, futures roll patterns, macro data releases), so DOW often encodes a stable micro-structure signal. Desk behavior and liquidity provision differ by weekday, impacting realized range and slippage. DOW is simple to operationalize: easy rules like “fade Monday afternoon chop” or “press Thursday trend extension” can be tested and enforced. What this indicator does Multi-mode heatmaps : Switch between Day of Week, Day of Month, Hour of Day, Week of Month . Metric selection : Analyze Returns , Volatility ((high-low)/open), Volume (vs 20-bar average), or Range (vs 20-bar average). Confidence intervals : Per cell, compute mean, standard deviation, and a z-based CI at your chosen confidence level. Sample guards : Enforce a minimum sample size so thin data doesn’t mislead. Readable map : Color palettes, value labels, sample size, and an optional legend for fast interpretation. Scoreboard : Optional table highlights best/worst DOW and today’s seasonality with CI and a simple “edge” tag. How it’s calculated (under the hood) Per bar, compute the chosen metric (return, vol, volume %, or range %) over your lookback window. Bucket that metric into the active calendar bin (e.g., Tuesday, the 15th, 10:00 hour, or Week-2 of month). For each bin, accumulate sum , sum of squares , and count , then at render compute mean , std dev , and confidence interval . Color scale normalizes to the observed min/max of eligible bins (those meeting the minimum sample size). How to read the heatmap Color : Greener/warmer typically implies higher mean value for the chosen metric; cooler implies lower. Value label : The center number is the bin’s mean (e.g., average % return for Tuesdays). Confidence bracket : Optional “ ” shows the CI for the mean, helping you gauge stability. n = sample size : More samples = more reliability. Treat small-n bins with skepticism. Suggested workflows Pick the lens : Start with Analysis Type = Returns , Heatmap View = Day of Week , lookback ≈ 252 trading days . Note the best/worst weekdays and their CI width. Sanity-check volatility : Switch to Volatility to see which bins carry the most realized range. Use that to plan stop width and trade pacing. Check liquidity proxy : Flip to Volume , identify thin vs thick windows. Execute risk in thicker windows to reduce slippage. Drill to intraday : Use Hour of Day to reveal opening bursts, lunchtime lulls, and closing ramps. Combine with your main strategy to schedule entries. Calendar nuance : Inspect Week of Month and Day of Month for end-of-month, options-cycle, or data-release effects. Codify rules : Translate stable edges into rules like “no fresh risk during bottom-quartile hours” or “scale entries during top-quartile hours.” Parameter guidance Analysis Period (Days) : 252 for a one-year view. Shorten (100–150) to emphasize the current regime; lengthen (500+) for long-memory effects. Heatmap View : Start with DOW for robustness, then refine with Hour-of-Day for your execution window. Confidence Level : 95% is standard; use 90% if you want wider coverage with fewer false “insufficient data” bins. Min Sample Size : 10–20 helps filter noise. For Hour-of-Day on higher timeframes, consider lowering if your dataset is small. Color Scheme : Choose a palette with good mid-tone contrast (e.g., Red-Green or Viridis) for quick thresholding. Interpreting common patterns Return-positive but low-vol bins : Favorable drift windows for passive adds or tight-stop trend continuation. Return-flat but high-vol bins : Opportunity for mean reversion or breakout scalping, but manage risk accordingly. High-volume bins : Better expected execution quality; schedule size here if slippage matters. Wide CI : Edge is unstable or sample is thin; treat as exploratory until more data accumulates. Best practices Revalidate after regime shifts (new macro cycle, liquidity regime change, major exchange microstructure updates). Use multiple lenses: DOW to find the day, then Hour-of-Day to refine the entry window. Combine with your core setup signals; treat seasonality as a filter or weight, not a standalone trigger. Test across assets/timeframes—edges are instrument-specific and may not transfer 1:1. Limitations & notes History-dependent: short histories or sparse intraday data reduce reliability. Not causal: a hot Tuesday doesn’t guarantee future Tuesday strength; treat as probabilistic bias. Aggregation bias: changing session hours or symbol migrations can distort older samples. CI is z-approximate: good for fast triage, not a substitute for full hypothesis testing. Quick setup Use Returns + Day of Week + 252d to get a clean yearly map of weekday edge. Flip to Hour of Day on intraday charts to schedule precise entries/exits. Keep Show Values and Confidence Intervals on while you calibrate; hide later for a clean visual. The Multi-Mode Seasonality Map helps you convert the calendar from an afterthought into a quantitative edge, surfacing when an asset tends to move, expand, or stay quiet—so you can plan, size, and execute with intent.
Chỉ báo Pine Script®
của BackQuant
NLR-ADX Divergence Strategy Triple-ConfirmedHow it works Builds a cleaner DMI/ADX Recomputes classic +DI, −DI, ADX over a user-set length. Then “non-linear regresses” each series toward a mean (your choice: dynamic EMA of the series or a fixed Static Mid like 50). The further a value is from the mean, the stronger the pull (controlled by alphaMin/alphaMax and the γ exponent), giving smoother, more stable DI/ADX lines with less whipsaw. Optional EMA smoothing on top of that. Lock in values at confirmed pivots Uses price pivots (left/right bars) to confirm swing lows and highs. When a pivot confirms, the script captures (“freezes”) the current +DI, −DI, and ADX values at that bar and stores them. This avoids later drift from smoothing/EMAs. Check for triple divergence For a bullish setup (potential long): Price makes a Lower Low vs. a prior pivot low, +DI is higher than before (bulls quietly stronger), −DI is lower (bears weakening), ADX is lower (trend fatigue). For a bearish setup (potential short) Price makes a Higher High, +DI is lower, −DI is higher, ADX is lower. Adds a “no-intersection” sanity check: between the two pivots, the live series shouldn’t snake across the straight line connecting endpoints. This filters messy, low-quality structures. Trade logic On a valid triple-confirm, places a strategy.entry (Long for bullish, Short for bearish) and optionally labels the bar (BUY or SELL with +DI/−DI/ADX arrows). Simple flip behavior: if you’re long and a new short signal prints (or vice versa), it closes the open side and flips. Key inputs you can tweak Custom DMI Settings DMI Length — base length for DI/ADX. Non-Linear Regression Model Mean Reference — EMA(series) (dynamic) or Static mid (e.g., 50). Dynamic Mean Length & Deviation Scale Length — govern the mean and scale used for regression. Min/Max Regression & Non-Linearity Exponent (γ) — how strongly values are pulled toward the mean (stronger when far away). Divergence Engine Pivot Left/Right Bars — how strict the swing confirmation is (larger = more confirmation, more delay). Min Bars Between Pivots — avoids comparing “near-duplicate” swings. Max Historical Pivots to Store — memory cap.
Chiến lược Pine Script®
của Cmo22
Squeeze Momentum ProSQUEEZE MOMENTUM PRO - Enhanced Visual Dashboard A modernized version of the TTM Squeeze Momentum indicator, designed for cleaner visual interpretation and faster decision-making. ═══════════════════════════════════════════ 📊 WHAT IS THE SQUEEZE? ═══════════════════════════════════════════ The "squeeze" occurs when Bollinger Bands contract inside Keltner Channels, indicating extremely low volatility. This compression typically precedes explosive directional moves - the tighter the squeeze, the bigger the potential breakout. John Carter's TTM Squeeze concept (from "Mastering the Trade") combines this volatility compression with momentum direction to identify high-probability setups. ═══════════════════════════════════════════ ✨ WHAT'S NEW IN THIS VERSION ═══════════════════════════════════════════ 🎯 VISUAL STATUS BAR - Real-time squeeze state with clear labels - Color-coded backgrounds (Red = Building, Green = Fired Bullish, Orange = Fired Bearish) - Squeeze duration counter to gauge compression time 📊 ENHANCED HISTOGRAM - 4-color momentum gradient (Strong Bull/Weak Bull/Weak Bear/Strong Bear) - Instantly shows both direction AND strength - Background shading for current market state 🔥 SQUEEZE INTENSITY GAUGE - 5-dot pressure indicator showing compression tightness - Percentage display of squeeze strength - Only appears during active squeezes 📈 REAL-TIME METRICS PANEL - Current momentum value - Direction indicator (increasing/decreasing) - Strength assessment (strong/weak) 🔔 COMPREHENSIVE ALERTS - Squeeze started - Squeeze fired (bullish/bearish) - Momentum crossovers ═══════════════════════════════════════════ 🎮 HOW TO USE ═══════════════════════════════════════════ 1. WAIT FOR SQUEEZE • Red status bar appears • Intensity dots show compression level • Longer duration = potentially bigger move 2. WATCH FOR RELEASE • Status changes to "FIRED - BULLISH" or "FIRED - BEARISH" • Histogram color confirms momentum direction • Background highlights the event 3. MANAGE POSITION • Monitor momentum strength in metrics panel • Exit when histogram changes color (momentum reversal) • Use with trend/volume confirmation ═══════════════════════════════════════════ ⚙️ CUSTOMIZATION ═══════════════════════════════════════════ - Toggle status bar, metrics, intensity dots independently - Adjustable BB/KC parameters - Custom color schemes - Show/hide squeeze duration ═══════════════════════════════════════════ 🙏 CREDITS ═══════════════════════════════════════════ Original TTM Squeeze concept: John F. Carter Original indicator code: LazyBear (@LazyBear) This builds on LazyBear's excellent implementation of the TTM Squeeze Momentum indicator, adding modern visual elements and real-time dashboards for improved usability. Original indicator: "Squeeze Momentum Indicator " ═══════════════════════════════════════════ ⚠️ DISCLAIMER ═══════════════════════════════════════════ This indicator is for educational purposes. Always use proper risk management and combine with other forms of analysis. No indicator guarantees profitable trades. ═══════════════════════════════════════════ Best used on: Day trading timeframes (1m-15m) for momentum plays Combine with: Volume analysis, trend filters, support/resistance levels
Chỉ báo Pine Script®
của DayTradingMD1992
XAUUSD Multi-Timeframe Supertrend Alert v2**Indicator Overview: XAUUSD Multi-Timeframe Supertrend Alert v2** **Core Components:** 1. **Multi-Timeframe Supertrend System** - Two Supertrend indicators (ST1 & ST2) with customizable timeframes - ST1 typically set to Daily, ST2 to Weekly as main trend - Visualized with distinct colors and background fills 2. **Customizable SMA** - Adjustable period and timeframe - Plotted as blue line for additional trend reference 3. **Neutral Zone System** - Creates a neutral line offset from ST1 by customizable tick distance - Yellow dashed line that adjusts based on ST1 trend direction - **Alert Conditions:** - **Test Buy Zone**: Both ST1 & ST2 in uptrend AND price enters neutral zone above ST1 - **Test Sell Zone**: Both ST1 & ST2 in downtrend AND price enters neutral zone below ST1 4. **Distance Lines from ST2** - Upper/lower lines at customizable tick distance from ST2 - Purple dashed lines with touch alerts **Trading Signals:** - **Bullish Signal**: Price above ST2 but below ST1 (potential buy) - **Bearish Signal**: Price below ST2 but above ST1 (potential sell) - **Neutral Zone Alerts**: Price enters defined zone when both trends align - **Line Touch Alerts**: Price touches distance lines from ST2 **Alert System:** - Limited to 3 consecutive alerts per signal type - Visual markers (triangles, diamonds, circles) - Background coloring for signal zones - Separate alert conditions for each signal type **Visual Features:** - Candles colored green/red based on signals - Clear trend visualization with colored backgrounds - Real-time alert markers without information table clutter This indicator provides multi-timeframe trend analysis with precise entry zone detection and comprehensive alert system for XAUUSD trading. SAM89 M15, ST1 (5:10) M5, ST2 ( 1,5:20) H1, Test Buy Sell 7000, Line 15000
Chỉ báo Pine Script®
của Debayako
DTCC RECAPS Dates 2020-2025This is a simple indicator which marks the RECAPS dates of the DTCC, during the periods of 2020 to 2025. These dates have marked clear settlement squeezes in the past, such as GME's squeeze of January 2021. ------------------------------------------------------------------------------------------------------------------ The Depository Trust & Clearing Corporation (DTCC) has published the 2025 schedule for its Reconfirmation and Re-pricing Service (RECAPS) through the National Securities Clearing Corporation (NSCC). RECAPS is a monthly process for comparing and re-pricing eligible equities, municipals, corporate bonds, and Unit Investment Trusts (UITs) that have aged two business days or more . At its core, the Reconfirmation and Re-pricing Service (RECAPS) is a risk management tool used by the National Securities Clearing Corporation (NSCC), a subsidiary of the DTCC. Its primary purpose is to reduce the risks associated with aged, unsettled trades in the U.S. securities market . When a trade is executed, it is sent to the NSCC for clearing and settlement. However, for various reasons, some trades may not settle on their scheduled date and become "aged." These unsettled trades create risk for both the trading parties and the clearinghouse (NSCC) because the value of the underlying securities can change over time. If a trade fails to settle and one of the parties defaults, the NSCC may have to step in to complete the transaction at the current market price, which could result in a loss. RECAPS mitigates this risk by systematically re-pricing these aged, open trading obligations to the current market value. This process ensures that the financial obligations of the clearing members accurately reflect the present value of the securities, preventing the accumulation of significant, unmanaged market risk . Detailed Mechanics: How Does it Work? The RECAPS process revolves around two key dates you asked about: the RECAPS Date and the Settlement Date . The RECAPS Date: On this day, the NSCC runs a process to identify all eligible trades that have remained unsettled for two business days or more. These "aged" trades are then re-priced to the current market value. This re-pricing is not just a simple recalculation; it generates new settlement instructions. The original, unsettled trade is effectively cancelled and replaced with a new one at the current market price. This is done through the NSCC's Obligation Warehouse. The Settlement Date: This is typically the business day following the RECAPS date. On this date, the financial settlement of the re-priced trades occurs. The difference in value between the original trade price and the new, re-priced value is settled between the two trading parties. This "mark-to-market" adjustment is processed through the members' settlement accounts at the DTCC. Essentially, the process ensures that any gains or losses due to price changes in the underlying security are realized and settled periodically, rather than being deferred until the trade is ultimately settled or cancelled. Are These Dates Used to Check Margin Requirements? Yes, indirectly, this process is closely tied to managing margin and collateral requirements for NSCC members. Here’s how: The NSCC requires its members to post collateral to a clearing fund, which acts as a mutualized guarantee against defaults. The amount of collateral each member must provide is calculated based on their potential risk exposure to the clearinghouse. By re-pricing aged trades to current market values through RECAPS, the NSCC gets a more accurate picture of each member's outstanding obligations and, therefore, their current risk profile. If a member has a large number of unsettled trades that have moved against them in value, the re-pricing will crystallize that loss, which will be settled the next day. This regular re-pricing and settlement of aged trades prevent the build-up of large, unrealized losses that could increase a member's risk profile beyond what their posted collateral can cover. While RECAPS is not the only mechanism for calculating margin (the NSCC has a complex system for daily margin calls based on overall portfolio risk), it is a crucial component for managing the specific risk posed by aged, unsettled transactions. It ensures that the value of these obligations is kept current, which in turn helps ensure that collateral levels remain adequate. -------------------------------------------------------------------------------------------------------------- Future dates of 2025: - November 12, 2025 (Wed) - November 25, 2025 (Tue) - December 11, 2025 (Thu) - December 29, 2025 (Mon) The dates for 2026 haven't been published yet at this time. The RECAPS process is essentially the industry's way of retrying the settlement of all unresolved FTDs, netting outstanding obligations, and gradually forcing resolution (either delivery or buy-in). Monitoring RECAPS cycles is one way to track the lifecycle, accumulation, and eventual resolution (or persistence) of failures to deliver in the U.S. market. The US Stock market has become a game of settlement dates and FTDs, therefore this can be useful to track.
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