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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. ---
مؤشر Pine Script®
من ‎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.
مؤشر Pine Script®
من ‎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.
مؤشر Pine Script®
من ‎TheDemonTrader‎
3
地狱5分钟One-Sentence Summary A 5-minute overlay indicator that fires confirmed buy / sell arrows when ( custom momentum-exhaustion counter OR adaptive cRSI extreme OR StochRSI extreme ) passes a user-defined sensitivity filter and a minimum-bar-distance gate, then auto-audits each signal in real time. The Three Engines (TD-Free Wording) A. Adaptive cRSI Dominant-cycle RSI with auto-generated dynamic upper/lower bands. Period, vibration and “levelling” are all adjustable. B. StochRSI Classic stochastic of RSI with independent length & smoothing controls. C. Momentum-Exhaustion Counter Counts consecutive bars where close is consistently higher (or lower) than the close 4 bars ago. When the count reaches a user-set threshold (default 9) an “exhaustion” flag is raised. Signal Workflow Each engine contributes 0 or 1 point to a bull or bear score. A raw signal candidate appears when total score ≥ 3 × sensitivity. After the bar closes and the minimum-signal-distance test is passed, the candidate becomes confirmed. Entry price, bar index, China-time timestamp, score and exhaustion status are logged. Real-Time Back-Test Every confirmed signal is stored in a SignalData array. After backtest_minutes (user-defined) the script checks if price has moved in the signal’s favour and marks the trade win/loss. Win-rate, streaks, exhaustion-edge and flat-money P&L (fixed bet & payout) are updated instantly. Results are aggregated by China calendar day (UTC+8) in a DailyStats array. Visual Output Shapes – Green ▲ = normal long Lime ▲ = exhaustion long – Red ▼ = normal short Orange ▼ = exhaustion short Price labels show exact entry. “B” / “S” characters mark exhaustion bars. Two live tables display overall stats, exhaustion edge, longest streaks, strategy profit and today’s China-time P&L. Alert Library (TD-Free) Alerts fire on: every confirmed signal (exhaustion vs normal) exhaustion win-rate ≥ 70 % overall win-rate ≥ 65 % win/loss streak milestones daily profit/loss thresholds Input Groups cRSI, StochRSI, exhaustion-counter parameters Signal sensitivity & minimum distance OB/OS thresholds for both RSIs Back-test duration, bet size, payout ratio Toggle for on-chart tables
مؤشر Pine Script®
من ‎d74953‎
1
TradeMastersAlgoOur strategy is a long only algorithm that has produced repeatable positive results in both back testing and live testing. The code is our proprietary IP. Users may have a 30 free trial to experiment with our strategy. Results are not guaranteed. This strategy was created for automated day trading a fully funded margin account. Please exercise caution and discipline when using any strategy. We've had the most positive results with heavy diversification (40 tickers trading 5% equity each). Ticker selection, timeframe, and chart type ( we use standard candles ) are up to the user. We encourage you to keep your own method to your self to prevent the dilution of your strategy.
استراتيجية Pine Script®
من ‎trademastersalgo‎
Sessions RangeThis script clearly displays the price ranges (High–Low) of the main sessions—Sydney, Tokyo, London, and New York—with boxes on the chart and marked levels. Level labels can display price and date (or day of the week) in the time zone of your choice (GMT). Main Features Boxes by session: Visually highlight the range for each session. High/Low levels: Lines at the session extremes, with configurable length. Smart labels: If you choose to show "on the right," only active (unmitigated) levels track the price; when mitigated, they return to their starting point, keeping the chart clean. Flexible date: Choose between day of the month (with time) or day of the week. Alerts (optional): Notification when a level is broken. Notes The time zone displayed on the labels follows the chosen GMT, regardless of the chart time zone. You can choose to extend levels until they are mitigated or beyond, depending on your reading.
مؤشر Pine Script®
من ‎gabrielmps‎
MTF MomentumUniqueness: MTF Momentum is designed to provide true multiple-timeframe information at once on a single screen with as little clutter as possible. What makes MTF Momentum unique is the way it condenses the perspectives of our other internal models into a single bullish or bearish slope near the current candle, then automatically draws the same bullish or bearish momentum slopes of the next higher timeframes. The structure is engineered to highlight shifts in momentum as they happen on the current candle (angled lines), marking potential reversal points as they build (red and green diamonds), and provides a numerical Q-Score that draws a horizontal marker for elevated Q-Score exhaustion. The design avoids telling you when to buy or sell. Instead, it structures the raw inputs in a way that makes interpretation easier. That makes it useful whether you’re trading actively or simply learning to recognize how momentum flows across layers. Usefulness: This indicator is designed to work across multiple timeframes. Instead of juggling the same indicator on 3 different screens, you can see a unified picture that captures both the local momentum and higher timeframes that provide time-dimensional context. When short-term and higher-timeframe angles point in the same direction, MTF Momentum makes that visible in a straightforward way and may help highlight when momentum is consistent across multiple timeframes. When short-term layers push against a stronger higher timeframe, it signals that momentum may be shifting or exhausting. This indicator provides an efficient workflow and helps reduce clutter. How It Works: At its core, MTF Momentum is a blend of momentum readings from multiple sources — RSI slopes, EMA stacks, Gaussian smoothing, Fisher-style transforms, and MACD widening analysis built from the same shared core mathematical engines as our other indicators. The uniqueness of this indicator is not tied to any single formula as each component is well-known, but it is in the way they are layered, smoothed, and consolidated that entirely new readings are created. The process begins with multiple RSI calculations, offset and averaged to reduce jitter. These are smoothed through EMA stacks of varying lengths, then run through Gaussian-style filters that emphasize directional change while filtering noise. The slope differences across these layers form the foundation of the momentum calculation. This momentum reading is then checked against MACD widening conditions. MACD gap expansion is treated as a momentum confirmation — widening gaps with price in agreement add weight, while narrowing gaps or misaligned candles reduce confidence. Additional derivative logic, including Fisher-style transforms, is applied to normalize the outputs and make them more stable across different assets. Multi-timeframe integration comes from using request.security to pull higher timeframe versions of the same structures that are on the base chart. For example, you can see a one-minute chart overlaid with five-minute and fifteen-minute context. The blending is seamless — higher timeframe momentum is displayed alongside lower timeframe signals that help the user see where current timeframe momentum is in relation to higher timeframes. How to Use the MTF Momentum Indicator: Applying the MTF Momentum indicator is straightforward, but interpretation depends on your process. To use, load the indicator on your preferred base timeframe. Use this general guideline to setup your indicators: Base timeframe -> 1st HTF -> 2nd HTF 1min -> 5min -> 15min 5min -> 15min -> 1hr 15min -> 1hr -> 4hr 1hr -> 4hr -> 1day 4hr -> 1day -> Weekly 1day -> Weekly -> Monthly Weekly -> Monthly -> Yearly When used at base timeframes at 1 hour or lower, higher timeframe lines ARE drawn automatically. When using a base timeframe above 1 hour (e.g., 4h, Daily), higher-timeframe slopes are NOT drawn automatically. To view them, switch to the higher-timeframe chart itself (for example, Daily or Weekly) and draw an arrow along the slope using TradingView’s drawing tools. Once placed, the arrow will remain visible when you return to your lower base timeframe chart, giving you the higher-timeframe context alongside your current view. This step is optional, purely for visual reference, and does not affect the indicator’s calculations. These are your higher timeframe momentum angles that can help provide context to the automatically drawn angle on your current timeframe. You can even practice drawing these lines on the lower timeframes such as using a 5min base and 15min and 1hr HTF charts. You can compare your manually drawn angles with the automatic HTF lines by enabling them in the INPUTS tab of the MTF Momentum settings menu. Q-SCORE: The Q-Score label presents two values ranging from 0 to 100. These values are a numerical translation of the same momentum conditions our other indicators display visually. Higher values indicate stronger readings of exhaustion within the current trend model, while lower values indicate less. You can think of this as similar to a distribution curve, where some states occur less frequently at the extreme ends of the range and more frequently near the middle. Q-Score values are provided as contextual information only and do not predict reversals or guarantee outcomes. Blue Dotted & Solid Horizontal line: The aqua blue horizontal line is a visual representation of the Q-Score values. When one or both numerical values is below 85 the line stays dotted -- it is only when both numerical values exceed 85 that the line changes from dotted to solid. Green & Red Diamonds: Diamonds mark areas where the underlying model detects counter-trend behavior. They may flicker on the current candle during intrabar calculations but are locked in at candle close and never get altered or repainted. Red diamonds highlight points where the model detects counter-trend pressure during a bullish phase. Green diamonds highlight counter-trend pressure during a bearish phase. These markers reflect where momentum conditions have shifted relative to the prevailing trend. They appear where short-term dynamics differ from the broader trend. Traders can interpret these areas in their own context; the diamonds themselves do not predict reversals or guarantee outcomes. Example ways to use the MTF Momentum indicator: Look for agreement -- when both your base timeframe and higher timeframe momentums are pointing in the same direction, it reflects stronger alignment. This may help identify areas of trend continuation. Watch for divergence -- if your short-term momentum pushes opposite to the higher timeframe, it flags a potential transition. Disclaimer: This tool does not generate buy or sell signals. It is a framework for visualizing momentum across layers, allowing you to incorporate that information into your own decision-making. How you apply it depends entirely on your goals, timeframe, and risk tolerance. This indicator is provided for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment recommendations. Trading involves risk, and you may lose some or all of your capital. Past performance is not a guarantee of future results. You are solely responsible for any decisions you make — always trade to the best of your own abilities and within your own risk tolerance. Release Notes: v1.0 (Initial Release)
مؤشر Pine Script®
من ‎Predator-Trading-Systems‎
NQ Scalping System (1-Min Optimized) — StrategyNQ Scalping System — What this does (in plain English) You’re buying pullbacks in an uptrend and selling pullbacks in a downtrend. Trend = EMA89. Entries lean on EMA8/EMA21 touches + a StochRSI reset & cross so you’re not chasing candles. Optional Volume and MACD filters keep you out of weak moves. A time window avoids dead markets and the first noisy minute. Long setup Price above EMA89 (trend up) Price pulls back to EMA8 (or EMA21 if fallback is on) by at least your Min Pullback (NQ points) StochRSI resets to oversold and %K crosses up %D (Optional) Volume thrust and MACD momentum confirm Within your session window Short = mirror image. Exits you control Stop/Target: ATR-based (adaptive) or fixed scalp points Trailing stop: only arms after price moves your way by X points, then trails by your offset Early exit options: StochRSI fade, EMA break, trend break, or opposite divergence Quick scalp: grab a few points or bail after X bars if nothing happens Reality check This is a rules → orders system. It will not match eyeballed indicator labels. Fills, gaps, and trail behavior are real. That’s the point. How I’d run it (defaults that won’t waste your time) Use ATR stops/targets by default EMA21 fallback = ON (you’ll miss fewer good pullbacks) MACD filter = ON when choppy; OFF when trends are clean Volume multiplier: start modest, bump it up if you get chopped Session: keep RTH (e.g., 09:30–15:45 ET) and skip the first minute Quick presets for higher timeframes Use these as starting points and then nudge to taste. 5-Minute (intraday swings) OB/OS: 80 / 20 Volume Multiplier: 1.3 MACD: 8 / 21 / 5 ATR Stop× / Target×: 1.8–2.2 / 2.5–3.0 Min Pullback: 1.0–1.5 pts Quick Scalp: 6–10 pts, Bars: 12–20 Trailing: Activation 6–8 pts, Offset 3–4 pts Divergence: Hidden ON, MTF OFF 15-Minute (session legs) OB/OS: 85 / 15 Volume Multiplier: 1.4 MACD: 8 / 21 / 5 ATR Stop× / Target×: 2.0–2.5 / 3.0–4.0 Min Pullback: 1.5–2.5 pts Quick Scalp: 12–18 pts, Bars: 16–30 Trailing: Activation 10–14 pts, Offset 5–6 pts Divergence: Hidden ON, MTF ON (LTF = 5m) 30-Minute (bigger intraday trends) OB/OS: 88 / 12 Volume Multiplier: 1.5 MACD: 12 / 26 / 9 (or 8 / 21 / 5 if you want faster) ATR Stop× / Target×: 2.2–2.8 / 3.5–5.0 Min Pullback: 2.5–4.0 pts Quick Scalp: 18–28 pts, Bars: 20–40 Trailing: Activation 16–24 pts, Offset 6–8 pts Divergence: Hidden ON, MTF ON (LTF = 5m or 15m) 1-Hour (multi-hour swings) OB/OS: 90 / 10 Volume Multiplier: 1.6–1.8 MACD: 12 / 26 / 9 ATR Stop× / Target×: 2.5–3.5 / 4.0–6.0 Min Pullback: 4–7 pts Quick Scalp: 30–50 pts, Bars: 24–60 Trailing: Activation 28–40 pts, Offset 10–15 pts Divergence: Hidden ON, MTF ON (LTF = 15m) Tuning tips (read this) Getting chopped? Raise Min Pullback, raise Volume Multiplier, leave MACD ON, and narrow your session. Missing moves? Turn EMA21 fallback ON, lower Volume Multiplier, relax OB/OS (e.g., 75/25 on 5m). Flat days? Use Quick Scalp and a tighter Trail Activation to lock gains.
استراتيجية Pine Script®
من ‎Steeldoor7089‎
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.
مؤشر Pine Script®
من ‎ACTradeFIN‎
Slingshot System By Dusty InvestmentsSlingshot System by Dusty Investments What it is A trend-following pullback system designed to time entries inside an established trend using a two-EMA “cloud” plus a Stochastic-RSI K oscillator. It's the improved version of this script: It plots: An EMA cloud (trend and pullback filter) Long/Short setup markers “TAKE PROFIT” markers based on the oscillator Core building blocks Trend filter (EMA Cloud) Fast EMA vs Slow EMA Uptrend: Fast EMA > Slow EMA Downtrend: Fast EMA < Slow EMA The area between the two EMAs is filled (the “cloud”). Cloud touch The system requires price to touch/pierce the cloud with a small tolerance (configurable) to qualify a pullback. Oscillator K is a smoothed Stochastic of RSI (StochRSI K). Oversold/Overbought levels default to 20/80, with a small tolerance kTol to avoid edge flicker. Long logic (pullbacks within uptrend) Purpose: Catch a second, “higher” dip during an uptrend. Steps: Candidate V1: While in uptrend, if K ≤ Oversold and price touches the EMA cloud, a V1 candidate is stored (the first dip). Deal lock: When K later reaches ≥ Overbought in uptrend, the last V1 candidate is “locked in” as V1 for this cycle. V2 search: After the lock, if another pullback appears (still in uptrend, K ≤ Oversold, price touching the cloud) and the low stays strictly above V1’s low, the script starts searching for the best V2 low (the lowest low of this second dip that remains above V1’s low). Long signal: When K exits the oversold area, if a valid V2 was found above V1’s low, the indicator places a LONG label at that V2 low. Take profit for Long: The “TAKE PROFIT” marker is shown when K crosses up through the Overbought level (≥ 80 by default). Short logic (pullbacks within downtrend) Purpose: Catch lower‑high pullbacks during a downtrend. The workflow is explicit and labeled: D1 (first anchor): In downtrend, when price touches the cloud and K ≥ Overbought, mark D1 (the first high). Valley: The first time K reaches ≤ Oversold after D1. D2 (setup high): After the valley, the first bar that again touches the cloud with K ≥ Overbought and makes a strict Lower High vs D1 becomes D2. This opens a “window.” Signal (live): From D2 until confirmation, the Signal marker follows the most recent swing high that forms on downtrend bars. It never tracks uptrend bars. Confirmation: The first time K reaches ≤ Oversold after D2, the Signal is fixed at the last tracked high. From here the system waits for TP. Take profit for Short: The “TAKE PROFIT” marker is shown when K crosses back above the Overbought level (≥ 80 by default). Chaining (New D1): At TP, the prior D2 is promoted to “New D1,” allowing the next cycle to form if conditions repeat (D1 → Valley → D2). What the labels mean LONG: A validated long setup at the V2 low (second dip above the first dip’s low) within an uptrend. SHORT: The live Short entry marker that moves to the latest downtrend swing high between D2 and confirmation; it gets fixed when K hits ≤ Oversold. TAKE PROFIT: Suggestive exit markers tied to the K oscillator (Long TP when K crosses up 80; Short TP when K crosses up 80 after a Short confirmation). Strict constraints baked in No signals against the trend Fast EMA / Slow EMA periods (trend and cloud) RSI period for the StochRSI, Stochastic period, and K smoothing Oversold/Overbought levels (defaults 20/80) Cloud touch tolerance (percent) kTol: tolerance around 20/80 thresholds for K How to use it Pick your market and use the 4H timeframe since you get the best results this way. Trade with the trend: Uptrend: Watch for LONG markers (V1 then V2 higher‑low behavior). Downtrend: Watch the D1 → Valley → D2 sequence. The Signal marker appears after D2 and is fixed at confirmation; TP comes on K > 80. Calibrate touchTolPct and kTol per symbol/timeframe to match how tightly you want to require cloud touches and K thresholds. Risk management is up to you. The indicator outputs entries and TP suggestions; it does not set stops. Notes Signals confirm at bar close. During a Short window, the live Signal may move to newer downtrend highs; once confirmed, it becomes fixed. The LONG side is symmetrical in spirit (pullback‑then‑higher‑low in uptrend), but naming uses V1/V2 instead of D1/D2.
مؤشر Pine Script®
من ‎DustyInvestments‎
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.
مؤشر Pine Script®
من ‎Carlostradercr‎
2
MTF EMA Smooth Indicator By : KaizenotradingPHThis 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.
مؤشر Pine Script®
من ‎KaiZenoTradingPH‎
البوصلة الملونة — Trend Compassبوصلة الاتجاه — النسخة الملونة مؤشر يساعد المتداول على التعرف بسرعة على قوة الاتجاه ومن المسيطر (المشترون أم البائعون). ✨ المميزات: تلوين المنطقة بين الخطين حسب الغلبة (أخضر للمشترين، أحمر للبائعين). خط قوة الاتجاه يتغير لونه حسب لون الشمعة (أخضر عند الصعود، أحمر عند الهبوط). فلتر للاتجاه: يتم تجاهل الإشارات الضعيفة إذا كانت قوة الاتجاه أقل من الحد المطلوب. تصميم نظيف وألوان واضحة لسهولة القراءة. ⚠️ تنويه: هذا المؤشر أداة مساعدة وليست توصية بيع أو شراء. يفضل استخدامه مع أدوات أخرى مثل الدعوم والمقاومات أو مؤشرات الزخم للحصول على قرارات أدق. Trend Compass — Colored Version This indicator helps traders quickly identify the strength of the trend and who is in control (buyers or sellers). ✨ Features: Colored area between the two lines depending on dominance (green for buyers, red for sellers). The trend strength line changes its color according to candle direction (green for bullish, red for bearish). Built-in filter: weak signals are ignored when the trend strength is below the chosen threshold. Clean design with clear visuals for easy interpretation. ⚠️ Disclaimer: This indicator is a supportive tool, not a buy/sell recommendation. For better accuracy, combine it with other tools such as support/resistance or momentum indicators.
مؤشر Pine Script®
من ‎abdullah-aljohani‎
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