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MTF EMA Smooth Indicator By : KaizenotradingPH (Open Source)This indicator script can display three different timeframe MTF EMA indicators simultaneously. The special thing of this script is that it has smoothing feature that can smooth the MTF EMA but only in minutes and hours timeframe (script limitation). You can enable the anti repainting as well which reference the previous bar. These features are useful for customize strategies scripts to avoid repainting. Additionally, this script have customizable length for the three MTF EMA indicators. This is the open source version of the script.
Penunjuk Pine Script®
oleh KaiZenoTradingPH
Smart Money LITE — Daily Sweep → HQ Signals (VWAP • FVG • CHoCH) 🔗 PRO VERSION (VWAP + FVG + CHoCH — full confirmations, all timeframes): chartedgepro.gumroad.com/l/rmnbhw Daily liquidity sweep → confluence signals with VWAP, FVG & CHoCH. Works on all timeframes & markets (Indices, Forex, Crypto). WHAT IT DOES Smart Money LITE+ highlights high-quality LONG/SHORT signals only after daily liquidity is swept (previous day high/low) with confluence from VWAP, FVG and structure (BOS/CHoCH). Works on all timeframes and across markets: indices, forex, crypto. KEY FEATURES (Lite) • Daily sweep logic (PDH/PDL) + previous day zones • VWAP + deviation bands (optional) and proximity filter • 3-bar FVG boxes (visual) with adjustable extension • ATR/volatility filter, optional HTF trend filter • Anti-spam cooldown, clean LONG/SHORT labels • Alerts: HQ LONG / HQ SHORT HOW TO USE 1. Wait for price to sweep PDH/PDL → indicator opens “signal window”. 2. Look for confluence: VWAP touch/proximity + CHoCH or BOS in direction. 3. Enter with proper risk management (stop beyond swing/zone, partials). SETTINGS TIPS • Enable “Require VWAP Confluence?” for strictest setups. • Use “HTF Trend Filter?” to align with higher-timeframe EMA trend. • Adjust “After sweep (bars)” to define signal validity window. • FVGs are visual in Lite — advanced filtering and confirmation are in Pro. WHO IT'S FOR Scalpers, intraday, and swing traders looking for objective, visual signals based on liquidity sweeps and VWAP/FVG confluence. PRO VERSION (full confirmations) Adds advanced FVG/iFVG logic, more confluence filters, dynamic risk tools and extended alert packages — optimized for all timeframes. 👉 chartedgepro.gumroad.com/l/rmnbhw NOTES • For educational purposes only. No financial advice. • “Lite” is open-source; redistribution of code follows TradingView rules.
Penunjuk Pine Script®
oleh ChartEdgePro
EvoTrend-X Indicator — Evolutionary Trend Learner ExperimentalEvoTrend-X Indicator — Evolutionary Trend Learner NOTE: This is an experimental Pine Script v6 port of a Python prototype. Pine wasn’t the original research language, so there may be small quirks—your feedback and bug reports are very welcome. The model is non-repainting, MTF-safe (lookahead_off + gaps_on), and features an adaptive (fitness-based) candidate selector, confidence gating, and a volatility filter. ⸻ What it is EvoTrend-X is adaptive trend indicator that learns which moving-average length best fits the current market. It maintains a small “population” of fast EMA candidates, rewards those that align with price momentum, and continuously selects the best performer. Signals are gated by a multi-factor Confidence score (fitness, strength vs. ATR, MTF agreement) and a volatility filter (ATR%). You get a clean Fast/Slow pair (for the currently best candidate), optional HTF filter, a fitness ribbon for transparency, and a themed info panel with a one-glance STATUS readout. Core outputs • Selected Fast/Slow EMAs (auto-chosen from candidates via fitness learning) • Spread cross (Fast – Slow) → visual BUY/SELL markers + alert hooks • Confidence % (0–100): Fitness ⊕ Distance vs. ATR ⊕ MTF agreement • Gates: Trend regime (Kaufman ER), Volatility (ATR%), MTF filter (optional) • Candidate Fitness Ribbon: shows which lengths the learner currently prefers • Export plot: hidden series “EvoTrend-X Export (spread)” for downstream use ⸻ Why it’s different • Evolutionary learning (on-chart): Each candidate EMA length gets rewarded if its slope matches price change and penalized otherwise, with a gentle decay so the model forgets stale regimes. The best fitness wins the right to define the displayed Fast/Slow pair. • Confidence gate: Signals don’t light up unless multiple conditions concur: learned fitness, spread strength vs. volatility, and (optionally) higher-timeframe trend. • Volatility awareness: ATR% filter blocks low-energy environments that cause death-by-a-thousand-whipsaws. Your “why no signal?” answer is always visible in the STATUS. • Preset discipline, Custom freedom: Presets set reasonable baselines for FX, equities, and crypto; Custom exposes all knobs and honors your inputs one-to-one. • Non-repainting rigor: All MTF calls use lookahead_off + gaps_on. Decisions use confirmed bars. No forward refs. No conditional ta.* pitfalls. ⸻ Presets (and what they do) • FX 1H (Conservative): Medium candidates, slightly higher MinConf, modest ATR% floor. Good for macro sessions and cleaner swings. • FX 15m (Active): Shorter candidates, looser MinConf, higher ATR% floor. Designed for intraday velocity and decisive sessions. • Equities 1D: Longer candidates, gentler volatility floor. Suits index/large-cap trend waves. • Crypto 1H: Mid-short candidates, higher ATR% floor for 24/7 chop, stronger MinConf to avoid noise. • Custom: Your inputs are used directly (no override). Ideal for systematic tuning or bespoke assets. ⸻ How the learning works (at a glance) 1. Candidates: A small set of fast EMA lengths (e.g., 8/12/16/20/26/34). Slow = Fast × multiplier (default ×2.0). 2. Reward/decay: If price change and the candidate’s Fast slope agree (both up or both down), its fitness increases; otherwise decreases. A decay constant slowly forgets the distant past. 3. Selection: The candidate with highest fitness defines the displayed Fast/Slow pair. 4. Signal engine: Crosses of the spread (Fast − Slow) across zero mark potential regime shifts. A Confidence score and gates decide whether to surface them. ⸻ Controls & what they mean Learning / Regime • Slow length = Fast ×: scales the Slow EMA relative to each Fast candidate. Larger multiplier = smoother regime detection, fewer whipsaws. • ER length / threshold: Kaufman Efficiency Ratio; above threshold = “Trending” background. • Learning step, Decay: Larger step reacts faster to new behavior; decay sets how quickly the past is forgotten. Confidence / Volatility gate • Min Confidence (%): Minimum score to show signals (and fire alerts). Raising it filters noise; lowering it increases frequency. • ATR length: The ATR window for both the ATR% filter and strength normalization. Shorter = faster, but choppier. • Min ATR% (percent): ATR as a percentage of price. If ATR% < Min ATR% → status shows BLOCK: low vola. MTF Trend Filter • Use HTF filter / Timeframe / Fast & Slow: HTF Fast>Slow for longs, Fast threshold; exit when spread flips or Confidence decays below your comfort zone. 2) FX index/majors, 15m (active intraday) • Preset: FX 15m (Active). • Gate: MinConf 60–70; Min ATR% 0.15–0.30. • Flow: Focus on session opens (LDN/NY). The ribbon should heat up on shorter candidates before valid crosses appear—good early warning. 3) SPY / Index futures, 1D (positioning) • Preset: Equities 1D. • Gate: MinConf 55–65; Min ATR% 0.05–0.12. • Flow: Use spread crosses as regime flags; add timing from price structure. For adds, wait for ER to remain trending across several bars. 4) BTCUSD, 1H (24/7) • Preset: Crypto 1H. • Gate: MinConf 70–80; Min ATR% 0.20–0.35. • Flow: Crypto chops—volatility filter is your friend. When ribbon and HTF OK agree, favor continuation entries; otherwise stand down. ⸻ Reading the Info Panel (and fixing “no signals”) The panel is your self-diagnostic: • HTF OK? False means the higher-timeframe EMAs disagree with your intended side. • Regime: If “Chop”, ER < threshold. Consider raising the threshold or waiting. • Confidence: Heat-colored; if below MinConf, the gate blocks signals. • ATR% vs. Min ATR%: If ATR% < Min ATR%, status shows BLOCK: low vola. • STATUS (composite): • BLOCK: low vola → increase Min ATR% down (i.e., allow lower vol) or wait for expansion. • BLOCK: HTF filter → disable HTF or align with the HTF tide. • BLOCK: confidence → lower MinConf slightly or wait for stronger alignment. • OK → you’ll see markers on valid crosses. ⸻ Alerts Two static alert hooks: • BUY cross — spread crosses up and all gates (ER, Vol, MTF, Confidence) are open. • SELL cross — mirror of the above. Create them once from “Add Alert” → choose the condition by name. ⸻ Exporting to other scripts In your other Pine indicators/strategies, add an input.source and select EvoTrend-X → “EvoTrend-X Export (spread)”. Common uses: • Build a rule: only trade when exported spread > 0 (trend filter). • Combine with your oscillator: oscillator oversold and spread > 0 → buy bias. ⸻ Best practices • Let it learn: Keep Learning step moderate (0.4–0.6) and Decay close to 1.0 (e.g., 0.99–0.997) for smooth regime memory. • Respect volatility: Tune Min ATR% by asset and timeframe. FX 1H ≈ 0.10–0.20; crypto 1H ≈ 0.20–0.35; equities 1D ≈ 0.05–0.12. • MTF discipline: HTF filter removes lots of “almost” trades. If you prefer aggressive entries, turn it off and rely more on Confidence. • Confidence as throttle: • 40–60%: exploratory; expect more signals. • 60–75%: balanced; good daily driver. • 75–90%: selective; catch the clean stuff. • 90–100%: only A-setups; patient mode. • Watch the ribbon: When shorter candidates heat up before a cross, momentum is forming. If long candidates dominate, you’re in a slower trend cycle. ⸻ Non-repainting & safety notes • All request.security() calls use lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_on. • No forward references; decisions rely on confirmed bar data. • EMA lengths are simple ints (no series-length errors). • Confidence components are computed every bar (no conditional ta.* traps). ⸻ Limitations & tips • Chop happens: ER helps, but sideways microstructure can still flicker—use Confidence + Vol filter as brakes. • Presets ≠ oracle: They’re sensible baselines; always tune MinConf and Min ATR% to your venue and session. • Theme “Auto”: Pine cannot read chart theme; “Auto” defaults to a Dark-friendly palette. ⸻ Publisher’s Screenshots Checklist 1) FX swing — EURUSD 1H • Preset: FX 1H (Conservative) • Params: MinConf=70, ATR Len=14, Min ATR%=0.12, MTF ON (TF=4H, 20/50) • Show: Clear BUY cross, STATUS=OK, green regime background; Fitness Ribbon visible. 2) FX intraday — GBPUSD 15m • Preset: FX 15m (Active) • Params: MinConf=60, ATR Len=14, Min ATR%=0.20, MTF ON (TF=60m) • Show: SELL cross near London session open. HTF lines enabled (translucent). • Caption: “GBPUSD 15m • Active session sell with MTF alignment.” 3) Indices — SPY 1D • Preset: Equities 1D • Params: MinConf=60, ATR Len=14, Min ATR%=0.08, MTF ON (TF=1W, 20/50) • Show: Longer trend run after BUY cross; regime shading shows persistence. • Caption: “SPY 1D • Trend run after BUY cross; weekly filter aligned.” 4) Crypto — BINANCE:BTCUSDT 1H • Preset: Crypto 1H • Params: MinConf=75, ATR Len=14, Min ATR%=0.25, MTF ON (TF=4H) • Show: BUY cross + quick follow-through; Ribbon warming (reds/yellows → greens). • Caption: “BTCUSDT 1H • Momentum break with high confidence and ribbon turning.”
Penunjuk Pine Script®
oleh ACTradeFIN
Moving Averages with Alerts: 9, 21, 51, 100, 144, 200--- This indicator plots six configurable moving averages (MA) with options for EMA, SMA, RCI, HMA, and Pivô Boss types. It highlights key crossover points, especially monitoring the 9-period MA for crosses with others. Users can enable alerts for these crossovers, as well as set custom alerts between any two selected MAs. Additionally, the indicator marks the important crossovers of the 51 and 200 MAs on the chart with an “X”. This helps traders identify trend changes and potential entry or exit points efficiently. ---
Penunjuk Pine Script®
oleh P2Coin
Japan Yen Carry Trade to Risk Ratio Sharpe Ratio By UncleBFMStep-by-Step Calculation in the ScriptFetch Rates:Pulls rates dynamically using request.security() from user-specified symbols (e.g., TVC:JP10Y for yen, TVC:US10Y for target). If unavailable (NA), uses fallback inputs (e.g., 0.25% for yen, 4.50% for target). Converts rates to decimals: (target_rate - yen_rate) / 100. Calculate Carry:Carry = (Target Rate - Yen Rate) / 100 Example: If US 10Y yield is 4.50% and Japan 10Y is 0.25%, carry = (4.50 - 0.25) / 100 = 0.0425 (4.25% annual yield). Calculate Daily Log Returns:Log Returns = ln(Close / Close ), where Close is the current price of the pair (e.g., USDJPY) and Close is the previous day's price. This measures daily percentage changes in a way suitable for volatility calculations. Calculate Annualized Volatility:Volatility = Standard Deviation of Log Returns over a lookback period (default 63 days, ~3 months) × √252. Example: If the standard deviation of USDJPY log returns is 0.005 (0.5% daily), annualized volatility = 0.005 × √252 ≈ 0.0794 (7.94%). Compute the Ratio:Ratio = Carry / Volatility Example: Using above, 0.0425 / 0.0794 ≈ 0.535. If volatility is zero, the ratio is set to NA to avoid division errors. Plot:Plots the ratio as a line, with optional thresholds (e.g., 0.2 for "high attractiveness") to guide interpretation. NotesDynamic Rates: Using bond yields (e.g., TVC:JP10Y) or policy rates (e.g., ECONOMICS:JPINTR) makes the indicator responsive to historical and current rate changes, unlike static inputs. Context: BIS reports use similar ratios to assess carry trade viability. For USDJPY in 2025, with Fed rates around 4.5% and BoJ at 0.25–0.5%, the carry is positive but sensitive to volatility spikes (e.g., during 2024 unwind events). Usage: Apply to a yen pair chart (e.g., USDJPY, AUDJPY). Adjust symbols for the target currency (e.g., TVC:AU10Y for AUD). The ratio helps compare carry trade profitability across pairs or over time.
Penunjuk Pine Script®
oleh bitcoinfundmgr
Customizable Fixed Range Support & ResistanceTraders often overlook the fixed range support and resistance, especially if they are round numbers. If you make some observations, you will see that buyers and sellers engage in numerous transactions at those levels. You can have a look at the screenshots presented here (find the red boxes!) or check it out for yourselves on the instrument's chart that you prefer. This indicator will be a big help for day traders and scalpers to set their entries, profit targets, and stop loss levels.
Penunjuk Pine Script®
oleh TheDemonTrader
3
AI Agent XAU Scalper V1AI Agent XAU Scalper V1 is a custom indicator designed to help traders read the XAU/USD (Gold) market direction more quickly and clearly, especially on lower timeframes (M1–M15). This indicator provides automatic BUY/SELL signals along with a dynamic trail line that can be used as a guide for moving support and resistance levels. With a clean and informative display, it is suitable for day traders who need fast decision-making in the highly volatile gold market. 🎯 Key Features Automatic BUY/SELL signals with clear and easy-to-read labels. Dynamic trail line as a guide for support and resistance. Optional Heikin Ashi mode for smoother trend visualization. Alert system → supports TradingView notifications so traders never miss an entry. Optimized for XAU/USD scalping → works best on M1, M5, and M15 timeframes. ⚡ How to Use Add the indicator to the XAU/USD chart. Adjust the parameters as needed: ATR Period (default 10) Sensitivity (default 1.0) Heikin Ashi mode: optional Follow the signals: Green label = BUY Red label = SELL Trail line = dynamic support/resistance guide 📌 Notes This indicator is not a guaranteed profit tool. Always apply proper risk management and trading discipline. Recommended for scalping on lower timeframes, but can also be tested on higher timeframes depending on the trader’s style.
Penunjuk Pine Script®
oleh aiagentcommunity
1
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders What it is BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change. Use it to: • Detect emerging trends sooner without overreacting to noise. • Filter mean-reversion vs continuation opportunities. • Gate entries with a confidence score that reflects both strength and persistence of the move. • Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself. ⸻ Why it’s different • Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade. • Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter. • Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each. • No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references. • Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed. ⸻ What you see on the chart • Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious. • Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise. • Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence. • Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45). • Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics. ⸻ How it works (under the hood) 1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules). 2. Per-bin features (computed every bar): • RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1. • Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift). 3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0. 4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies. 5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA. Why it doesn’t repaint: • No future references, no MTF resampling, fitness updates only on confirmed bars. • All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally. ⸻ Signals & confidence • Bullish bias: consensus ≥ bullThr (e.g., 55). • Bearish bias: consensus ≤ bearThr (e.g., 45). • Confidence (0–100): • Distance score: how far consensus is from 50. • Momentum score: how strong the recent change is versus its recent average. • Combined into a single gate; start filtering entries at ≥60 for higher quality. Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45. ⸻ Inputs you’ll actually tune • Agents & horizons: • N_agents (e.g., 64–128) • lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing) • numBins (e.g., 12–24) • Weights & smoothing: • wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto) • deadBand (0.03–0.08) • consSmooth (3–8) • Thresholds & hygiene: • bullThr/bearThr (55/45 default) • cooldownBars to avoid signal spam ⸻ Playbooks (ready-to-use) 1) Breakout / Trend continuation • Timeframe: 15m–1h for day/swing. • Filter: Take longs only when consensus > 55 and confidence ≥ 60. • Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints. 2) Mean reversion (fade) • When: Sideways days or low-volatility clusters. • Setup: Increase deadBand and consSmooth. • Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50. • Targets: The neutral zone (~50) as the first take-profit. 3) Multi-TF alignment • Keep BioSwarm on 1H for bias, execute on 5–15m: • Only take entries in the direction of the 1H consensus. • Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan). ⸻ Integrations that work • DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree. • ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short). • Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers. ⸻ Quick start 1. Drop the indicator on a 1H chart. 2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45. 3. Trade only when confidence ≥ 60. 4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits. ⸻ Non-repainting & safety notes • No request.security(); no hidden lookahead. • Bar-close confirmation for fitness and signals. • All TA calls are unconditional (no “sometimes called” warnings). • No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin. ⸻ Known limits & tips • Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40. • Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47. • Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96). • Compute load: Large N_agents × numBins is heavier; scale to your device. ⸻ Example recipes EURUSD 1H (swing): lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45 Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level. SPY 15m (US session): lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05 On trend days, stay with longs as long as consensus >55; add on shallow pullbacks. BTC 1H (24/7): Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals. ⸻ Final word BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Penunjuk Pine Script®
oleh ACTradeFIN
Golden Cross Master Filter by Carlos ChavezForget noisy Golden/Death Cross signals. This is the **Golden Cross Master Filter** – built for traders who demand institutional-level confirmation. ✅ Exact EMA cross points with circle markers ✅ ATR / ADX / DI+ / DI- / Volume filters ✅ Gap% detection ✅ Visual OK/X dashboard ✅ Instant BUY/SELL labels & ready-to-use alerts Cut the noise. Trade only the strongest crosses. 🚀 Golden Cross Master Filter is a professional tool to detect Golden and Death Crosses with institutional-grade filtering. 🚀 Features: - ✅ ATR / ADX / DI+/DI- / Volume conditions - ✅ Gap% detection (daily gap between yesterday’s close and today’s open) - ✅ Visual dashboard with OK/X status - ✅ Exact circle markers at EMA cross points - ✅ Ready-to-use BUY/SELL labels when filters are confirmed - ✅ Built-in alerts for easy automation This indicator is designed for intraday and swing traders who rely on EMA crosses but want to eliminate false signals. It works across multiple timeframes (10m, 1h, 4h, Daily) and adapts to different trading styles. Whether you trade CALLs/PUTs or just want stronger confirmation for Golden/Death Crosses, this filter helps you focus only on high-probability setups.
Penunjuk Pine Script®
oleh Carlostradercr
2
Momentum Moving Averages | MisinkoMasterThe Momentum Moving Averages (MMA) indicator blends multiple moving averages into a single momentum-scoring framework, helping traders identify whether market conditions are favoring upside momentum or downside momentum. By comparing faster, more adaptive moving averages (DEMA, TEMA, ALMA, HMA) against a baseline EMA, the MMA produces a cumulative score that reflects the prevailing strength and direction of the trend. 🔎 Methodology Moving Averages Used EMA (Exponential Moving Average) → Baseline reference. DEMA (Double Exponential Moving Average) → Reacts faster than EMA. TEMA (Triple Exponential Moving Average) → Even faster, reduces lag further. ALMA (Arnaud Legoux Moving Average) → Smooth but adaptive, with adjustable σ and offset. HMA (Hull Moving Average) → Very responsive, reduces lag, ideal for momentum shifts. Scoring System Each comparison is made against the EMA baseline: If another MA is above EMA → +1 point. If another MA is below EMA → -1 point. The total score reflects overall momentum: Positive score → Bullish bias. Negative score → Bearish bias. Trend Logic Bullish Signal → When the score crosses above 0.1. Bearish Signal → When the score crosses below -0.1. Neutral or sideways trends are identified when the score remains between thresholds. 📈 Visualization All five moving averages are plotted on the chart. Colors adapt to the current score: Cyan (Bullish bias) → Positive momentum. Magenta (Bearish bias) → Negative momentum. Overlapping fills between MAs highlight zones of convergence/divergence, making momentum shifts visually clear. ⚡ Features Adjustable length parameter for all MAs. Adjustable ALMA parameters (sigma and offset). Cumulative momentum score system to filter false signals. Works across all markets (crypto, forex, stocks, indices). Overlay design for direct chart integration. ✅ Use Cases Trend Confirmation → Ensure alignment with market momentum. Momentum Shifts → Spot when faster MAs consistently outperform the baseline EMA. Entry & Exit Filter → Avoid trades when the score is neutral or indecisive. Divergence Visualizer → Filled zones make it easier to see when MAs begin separating or converging. Low History Required → Unlike most For Loops, this script does not require that much history, making it less lagging and more responsive ⚠️ Limitations Works best in trending conditions; performance decreases in sideways/choppy ranges. Sensitivity of signals depends on chosen length and ALMA settings. Should not be used as a standalone buy/sell system—combine with volume, structure, or higher timeframe analysis.
Penunjuk Pine Script®
oleh MisinkoMaster
52WH/last52WHbefore3Months/ATHThis indicator calculates and displays three values: First, it calculates the current 52-week high and displays it as a line and in a table at the top right with the name, date, and price. Corresponding color markings are also displayed on the price scale. Next, the 52-week high that is at least three months ago is determined. The corresponding candle is also labeled with a date. This past high is also displayed as a line, on the price scale, and in the table. Finally, the current all-time high is determined and also displayed as a line, in the price scale, and in the table. All display values can be turned on or off in the view, and the corresponding colors of the displays can also be freely selected. (This script was developed by J. Heina, jochen.heina(at)gmail, in collaboration with the ChatGPT tool). =====
Penunjuk Pine Script®
oleh JoeHunter7563
SMC BOS - Structure Breaks & Median Continuation ProjectionsThis tool shows what usually happens after a Break of Structure (BOS). It scans past BOS events on your chart, finds the ones most similar to the latest break (using ATR to filter by volatility), and then plots the median continuation path. Optional percentile bands (P10–P90) display the possible range of outcomes around the median. Key features: • Automatic detection of bullish and bearish BOS events • Library of past BOS with adjustable size and spacing • ATR-based similarity and recency weighting • Median continuation projections with optional percentile bands • Customizable colors, signals, and stats table • Works on any market and timeframe Use cases: • See how price typically behaves after a BOS • Support SMC analysis with data-driven projections • Improve trade planning by visualizing likely continuations • Apply across crypto, forex, stocks, and futures Originality: Instead of only marking BOS, this script learns from history and projects forward the median path of the most similar past cases, adjusted for volatility. It turns BOS signals into practical continuation scenarios. Instructions: Add the indicator to your chart. When a BOS is detected, the projection is drawn automatically. Use the settings to adjust the library, ATR weighting, projection style, percentile bands, and the display of signals or stats. For questions or customization, contact Julien Eche (Julien_Eche) on TradingView.
Penunjuk Pine Script®
oleh Julien_Eche
6
Tomorrow's Pivot Points [SMH]這個TradingView指標不同於內置的Pivot Point指標，因為它能夠提前顯示明天的Pivot Point。透過預測下一交易日的支撐與阻力位置，交易員可以更早部署策略，為隔日的市場波動做好準備。 This TradingView indicator is different from the built-in Pivot Point tool because it can display tomorrow’s Pivot Points in advance. By forecasting support and resistance levels for the next trading day, traders can position their strategies earlier and be well-prepared for upcoming market movements.
Penunjuk Pine Script®
oleh Fresh_Signal_Trader