Cyber MondayFino all'80% di sconto

Medie mobili

Weighted KDE Mode🙏🏻 The ‘ultimate’ typical value estimator, for the highest computational cost @ time complexity O(n^2). I am not afraid to say: this is the last resort BFG9000 you can ‘ever’ get to make dem market demons kneel before y’all Quickguide pls read it, you won’t find it anywhere else in open access When to use: If current market activity is so crazy || things on your charts are really so bad (contaminated data && (data has very heavy tails || very pronounced peak)), the only option left is to use the peak (mode) of Kernel Density Estimate , instead of median not even mentioning mean. So when WMA won’t help, when WPNR won’t help, you need this thing. Setting it up: Interval: choose what u need, you can use usual moving windows, but I also added yearly and session anchors alike in old VWAP (always prefer 24h instead of Session if your plan allows). Other options like cumulative window are also there. Parameters: this script ain't no joke, it needs time to make calculations, so I added a setting to calculate only for the last N bars (when “starting at bar N” is put on 0). If it’s not zero it acts as a starting point after which the calculations happen (useful for backtesting). Other parameters keep em as they are, keep student5 kernel , turn off appropriate weights if u apply it to other than chart data, on other studies etc. But instead of listening to me just experiment with parameters and see what they change, would take 5 mins max Been always saying that VWAP is ish, not time-aware etc, volume info is incorporated in a lil bit wrong way… So I decided not just to fix VWAP (you can do it yourself in 5 mins), but instead to drop there the Ultimate xD typical value estimator that is ever possible to do. Time aware, volume / inferred volume aware, resistant to all kinds of BS. This is your shieldwall. How it works: You can easily do a weighted kernel density estimation, in our case including temporal and intensity information while accumulating densities. Here are some details worth mentioning about the thing: Kernels are raw (not unit variance), that’s easier to work with later. h_constants for each kernel were calculated ^^ given that ^^ with python mpmath module with high decimal precision. In bandwidth calculation instead of using empirical standard deviation as a scaler, I use... ta.range(src, len) / math.sqrt(12) ...that takes data range and converts it to standard deviation, assuming data is uniformly distributed. That’s exactly what we need: a scaler that is coherent with the KDE, that has nothing to do with stdevs, as the kernels except for gaussian ones (that we don’t even need to use). More importantly, if u take multiple windows and see over time which distro they approach on the long term, that would be the uniform one (not the normal one as many think). Sometimes windows are multimodal, sometimes Laplace like etc, so in general all together they are uniform ish. The one and only kernel you really need is Student t with v = 5 , for the use case I highlighted in the first part of the post for TV users. It’s as far as u can get until ish becomes crazy like undefined variance etc. It has the highest kurtosis = 9 of all distros, perfect for the real use case I mentioned. Otherwise, you don’t even need KDE 4 real, but still I included other senseful kernels for comparison or in case I am trippin there. Btw, don’t believe in all that hype about Epanechnikov kernel which in essence is made from beta distribution with alpha = beta = 2, idk why folk call it with that weird name, it’s beta2 kernel. Yes on papers it really minimises AMISE (that’s how I calculated h constants for all dem kernels in the script), but for really crazy data (proper use case for us), it ain't provides even ‘closely’ compared with student5 kernel. Not much else to add. Shout out to @RicardoSantos for inspiration, I saw your KDE script a long time ago brotha, finna got my hands on it. ∞
Indicatore Pine Script®
di gorx1
6x EMA Set (5/20/50/100/200/300)This Pine Script indicator utilizes six Exponential Moving Averages (5, 20, 50, 100, 200, and 300 EMA) to visualize market trends and support/resistance levels across multiple timeframes on a single chart. The code is highly customizable, allowing the user to input and adjust the period length and color for each EMA directly within the indicator settings. The calculation engine uses Pine Script v5's optimized ta.ema() function to compute each average based on the closing price, with the EMA formula naturally weighting recent price action more heavily. This multi-layered structure enables the trader to quickly compare short-term momentum (Fast EMAs) against long-term structural trends (Slow EMAs).
Indicatore Pine Script®
di mhakany
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
Indicatore Pine Script®
di Semtex76
Alper-EMAAlper-EMA Description: This indicator allows you to display 5 customizable EMAs (Exponential Moving Averages) on a single chart. Each EMA can be configured independently with length, color, visibility, and calculation timeframe. Features: 5 fully customizable EMAs Set individual length and color for each EMA Toggle visibility for each EMA Multi-timeframe calculation: e.g., display EMA300 calculated on a 30-minute timeframe while viewing a 1-minute chart Labels display EMA period and timeframe for clarity Adjustable label size: tiny / small / normal / large Clear and readable plot lines Use Cases: Monitor multiple timeframe EMAs simultaneously Analyze trend and support/resistance levels Track EMA crossovers for strategy development Note: This indicator is suitable for both short-term (scalping) and medium-to-long term analysis. The multi-timeframe feature allows you to see different EMA perspectives on a single chart quickly.
Indicatore Pine Script®
di alperdesdicioglu
Mark Minervini SEPA - Balanced 📊 MARK MINERVINI SEPA BALANCED - COMPLETE USER GUIDE 🚀 WHAT IS THIS INDICATOR? This is a professional swing trading indicator based on Mark Minervini's famous Trend Template strategy. It automatically identifies high-probability setups where: ✅ Long-term trend is BULLISH (confirmed by moving averages) ✅ Stock is OUTPERFORMING the market (relative strength improving) ✅ Price is CONSOLIDATING (forming a base for breakout) ✅ Volume is CONFIRMING (volume spike on breakout) Result: CLEAR BUY SIGNALS when everything aligns! 🎯 🎨 WHAT YOU SEE ON YOUR CHART 1️⃣ FOUR MOVING AVERAGE LINES: 🟠 Orange Line (MA 20) = Short-term trend 🔵 Blue Line (MA 50) = Intermediate trend 🟢 Green Line (MA 150) = Long-term trend 🔴 Red Line (MA 200) = Very long-term trend IDEAL: All lines stacked in order (Orange > Blue > Green > Red) 2️⃣ BACKGROUND COLOR: 🟢 GREEN background = Trend template is VALID (bullish setup ready) 🔴 RED background = Trend template is BROKEN (avoid trading) 3️⃣ DASHBOARD PANEL (Top-Right): Real-time checklist showing: ✓ 6 core trend template rules ✓ Relative strength status ✓ VCP base quality ✓ Stage classification (S1/S2/S3/S4) ✓ Volume breakout status 4️⃣ VCP BASE BOXES (Blue Rectangles): Shows where consolidation is happening This is your potential entry zone 5️⃣ BUY SIGNAL LABEL (Green Text Below Candle): Green "BUY" label appears when ALL criteria are met This is your strongest entry signal 6️⃣ STOP LOSS LINE (Red Dashed Line): Shows your stop loss level (base low) 📖 HOW TO USE - STEP BY STEP STEP 1: ADD INDICATOR TO CHART ──────────────────────────────── 1. Open TradingView chart 2. Click "Indicators" (top toolbar) 3. Search "Minervini SEPA Balanced" 4. Click to add to your chart 5. Use DAILY (1D) timeframe for swing trading STEP 2: CHECK THE DASHBOARD (Top-Right Panel) 1. Look at all the checkmarks 2. Count how many are GREEN (✓) 3. Check Stage column - is it showing S2 or S1? STEP 3: LOOK FOR SETUP PATTERNS ───────────────────────────────── Ideal setup shows: ✓ Dashboard: 10+ criteria are GREEN ✓ Stage: S2 (green) or S1 (orange) ✓ Blue VCP box visible on chart (base forming) ✓ Moving averages aligned (50 > 150 > 200) ✓ Price above all moving averages ✓ Background is GREEN STEP 4: WAIT FOR ENTRY SIGNAL ────────────────────────────── Option A: BUY SIGNAL label appears → Green "BUY" label = ALL criteria met → ENTER at market price immediately Option B: Setup looks good but no BUY label yet → Wait for price to break above blue VCP box → Volume should spike (1.3x or higher) → Then enter at breakout STEP 5: PLACE YOUR TRADE ──────────────────────── 📍 ENTRY: At breakout from VCP base 📍 STOP LOSS: Base low (red dashed line) 📍 TARGET: 20-30% move (typical Minervini target) 📍 HOLDING TIME: 2-4 weeks 🎯 BALANCED VERSION - WHY IT'S BETTER FOR INDIAN STOCKS Volume Multiplier: 1.3x (NOT 1.5x) → Original was too strict for Indian market → 1.3x is realistic and catches good breakouts → Results: 5-10 signals per stock per year (tradeable!) Trend Template: Core 6 rules (NOT all 8) → Focuses on the most important rules → Still maintains quality, but more flexible → Works better with Indian stock behavior Stage Allowed: S1 OR S2 (NOT just S2) → Catches earlier moves → Allows you to enter sooner → But maintains quality with other criteria 📊 DASHBOARD INDICATORS - WHAT EACH MEANS TREND SECTION (Core 6 Rules): ───────────────────────────── P>200 ✓ = Price above 200-day MA (long-term uptrend) 150>200 ✓ = MA150 above MA200 (MA alignment) 200↑ ✓ = MA200 trending up (uptrend accelerating) 50>150 ✓ = MA50 above MA150 (intermediate uptrend) 50>200 ✓ = MA50 above MA200 (overall alignment) P>50 ✓ = Price above MA50 (pullback level intact) RS STRENGTH SECTION: ─────────────────── RS↑ ✓ = Stock outperforming NIFTY index ✗ = Stock underperforming NIFTY (avoid) VCP BASE SECTION: ──────────────── In Base ✓ = Consolidation zone detected ✗ = No consolidation yet Vol Dry ✓ = Volume drying up (base tightening) ✗ = Normal volume (consolidation weak) ENTRY SECTION: ────────────── Stage S2 = GREEN (best for swing trading) S1 = ORANGE (acceptable, early entry) S3 = RED (avoid - distribution phase) S4 = RED (avoid - downtrend) Vol Brk ✓ = Volume confirmed breakout (1.3x+ average) ✗ = Weak volume (breakout likely to fail) ❌ WHEN NOT TO TRADE SKIP if ANY of these are true: ❌ Background is RED (trend template broken) ❌ Stage is S3 or S4 (distribution or downtrend) ❌ Vol Brk is RED (volume not confirming) ❌ RS↑ is ORANGE/RED (stock underperforming market) ❌ Blue box is NOT visible (no base forming) ❌ Base is very loose/messy (not tight enough) ❌ Moving averages are not aligned ❌ Less than 8 GREEN criteria on dashboard ⚙️ CUSTOMIZATION GUIDE Click ⚙️ gear icon next to indicator name to adjust settings: VOLUME MULTIPLIER (Default: 1.3) ──────────────────────────────── Current: 1.3x = BALANCED for Indian stocks ✅ Change to 1.2x = MORE signals (more false breakouts) Change to 1.4x = FEWER signals (very selective) Change to 1.5x = ORIGINAL (too strict, rarely triggers) RS BENCHMARK (Default: NSE:NIFTY) ───────────────────────────────── Current: NSE:NIFTY = Large-cap stocks Change to NSE:NIFTY500 = Mid-cap stocks Change to NSE:NIFTYNXT50 = Small-cap stocks MINIMUM BASE DAYS (Default: 20) ─────────────────────────────── Current: 20 days = 4 weeks consolidation ✅ Change to 15 = Shorter bases (more frequent signals) Change to 25 = Longer bases (higher quality) ATR% FOR TIGHTNESS (Default: 1.5) ────────────────────────────────── Current: 1.5% = BALANCED ✅ Change to 1.0% = ONLY very tight bases Change to 2.0% = Loose bases accepted 📈 REAL TRADING EXAMPLE SCENARIO: Trading RELIANCE over 4 weeks WEEK 1: Base Starts Forming ──────────────────────────── - Price consolidating around ₹1,500 - Dashboard: 5/14 criteria green - Action: MONITOR (not ready yet) WEEK 2: Base Tightens ───────────────────── - Price still ₹1,500 (no movement) - VCP box appearing on chart - Dashboard: 8/14 criteria green - Vol Dry: ✓ (volume shrinking - good!) - Action: MONITOR (almost ready) WEEK 3: Perfect Setup Formed ────────────────────────────── - Base still ₹1,500 - Dashboard: 12/14 criteria GREEN ✓✓✓ - Stage: S2 ✓ - Blue box tight and clean - Action: WAIT FOR BREAKOUT WEEK 4: Breakout Happens! ────────────────────────── - Price closes at ₹1,550 (breakout!) - Volume: 1.6x average (exceeds 1.3x requirement) - Dashboard: BUY SIGNAL ✓ (all criteria met) - Action: ENTER TRADE Entry: ₹1,550 Stop: ₹1,480 (base low) Target: ₹1,850 (20% move) RESULT: +19.4% profit in 2 weeks! ✅ 💡 PRO TIPS FOR BEST RESULTS 1. USE DAILY (1D) CHARTS ONLY Weekly charts = Fewer signals, slower moves Daily charts = Best for swing trading ✅ Intraday charts = Too many false signals 2. SCAN MULTIPLE STOCKS Don't just watch 1 stock Scan 50-100 stocks daily More stocks = More opportunities 3. WAIT FOR PERFECT ALIGNMENT Don't enter on 8/14 criteria Wait for 12+/14 criteria This increases win rate significantly 4. VOLUME IS CRITICAL Always check Vol Brk column No volume = Likely to fail 1.3x+ volume = Good breakout 5. COMBINE WITH YOUR OWN ANALYSIS Indicator gives technical signals You add your own fundamental view Strong fundamental + technical = Best trade 6. BACKTEST ON HISTORICAL DATA Use TradingView Replay feature Go back 6-12 months See how many signals appeared Verify which were profitable 7. KEEP A TRADING JOURNAL Track entry, exit, profit/loss Note what worked and what didn't Continuous improvement! ⚠️ IMPORTANT DISCLAIMERS ✓ This indicator is for educational purposes only ✓ Past performance does not guarantee future results ✓ Always use proper risk management (position sizing, stop loss) ✓ Never risk more than 2% of your account on one trade ✓ Backtest thoroughly before using with real money ✓ The indicator provides technical signals, not investment advice ✓ Losses can occur - trade at your own risk 🎯 QUICK START CHECKLIST Before entering ANY trade, verify: □ Dashboard shows mostly GREEN (10+ criteria) □ Stage = S2 (green) or S1 (orange) □ Blue VCP box visible on chart □ Price just broke above the box □ Volume is high (1.3x+ average, Vol Brk = ✓) □ Moving averages aligned (50 > 150 > 200) □ RS is uptrending (RS↑ = ✓) □ BUY SIGNAL label appeared (optional but strong confirmation) ALL CHECKED? → READY TO BUY! 🚀 📞 FOR HELP & SUPPORT Questions about the indicator? → Check the dashboard - each criterion has a specific meaning → Review this guide - answers most common questions → Backtest on historical data using TradingView Replay → Start with paper trading (no real money) first 🎓 LEARNING RESOURCES To understand Mark Minervini's method better: → Read: "Trade Like a Stock Market Wizard" by Mark Minervini → Watch: TradingView educational videos on trend templates → Practice: Backtest this indicator on 6-12 months of historical data → Learn: Study successful traders who use similar strategies GOOD LUCK WITH YOUR TRADING! 🚀📈 May your trends be bullish and your breakouts be explosive! 🎯
Indicatore Pine Script®
di thakurkrishankant
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note The log-regression window LR length controls how long a long-term fair value path is estimated from historical data. The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”. When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as: “Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.” Guidelines: In general, set the AHR window equal to or slightly longer than the LR window: If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution. If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history. For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years). For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years. 1. Price series & windows Working timeframe: daily (1D). Let the daily close of the current symbol on day t be P_t . Main length parameters: HM window: L_HM = maLen (default 200 days) Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years) AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years) 2. Harmonic moving average (HM) On a window of length L_HM, define the harmonic mean: HM_t = ^(-1) Here eps = 1e-10 is used to avoid division by zero. Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly. 3. Log-regression baseline (LR) On a window of length L_LR, perform a linear regression on log price: Over the last L_LR bars, build the series x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit x_k ≈ a + b * k. The fitted value at the current index t is log_P_hat_t = a + b * t. Exponentiate to get the log-regression baseline: LR_t = exp( log_P_hat_t ). Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days. 4. HM-based AHR (valuation ratio) At each time t, build an HM-based AHR (valuation multiple): AHR_t = ( P_t / HM_t ) * ( P_t / LR_t ) Interpretation: P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean). P_t / LR_t : deviation of price from the long-term log-regression trend. Multiplying them means: if price is above both HM and LR, “expensiveness” is amplified; if price is below both, “cheapness” is amplified. Typical reading: AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper. AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive. 5. Empirical quantile thresholds (Opp / Risk) On each new day, whenever AHR_t is valid, add it into a rolling array: A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements) On this empirical distribution, define two quantiles: Opportunity quantile: q_opp (default 15%) Risk quantile: q_risk (default 65%) Using standard percentile computation (order statistics + linear interpolation), we get: Opp threshold: theta_opp = Percentile( A_t_window, q_opp ) Risk threshold: theta_risk = Percentile( A_t_window, q_risk ) We also compute the percentile rank of the current AHR inside the same history: q_now = PercentileRank( A_t_window, AHR_t ) ∈ This yields three valuation zones: Opportunity zone: AHR_t <= theta_opp (corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.) Neutral zone: theta_opp < AHR_t < theta_risk Risk zone: AHR_t >= theta_risk (corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.) All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity. 6. DCA simulation (lightweight, rolling window) Given: a daily budget B (input: budgetPerDay), and a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years), The script applies the following rule on each new day t: If thresholds are unavailable or AHR_t > theta_risk → classify as Risk zone → buy = 0 If AHR_t <= theta_opp → classify as Opportunity zone → buy = 2B (double size) Otherwise (Neutral zone) → buy = B (normal DCA) Daily invested cash: C_t ∈ {0, B, 2B} Daily bought quantity: DeltaQ_t = C_t / P_t The script keeps rolling sums over the last H days: Cumulative position: Q_H = sum_{k=t-H+1..t} DeltaQ_k Cumulative invested cash: C_H = sum_{k=t-H+1..t} C_k Current portfolio value: PortVal_t = Q_H * P_t Cumulative P&L: PnL_t = PortVal_t - C_H Active days: number of days in the last H with C_k > 0. These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
Indicatore Pine Script®
di Anoria_4RICH
1
2t's MA 50, MA 150, ATRThis indicator displays three key technical signals on the chart: SMA 50 – Short-term trend direction SMA 150 – Medium-term trend direction ATR – Market volatility (Average True Range) Line colors and lengths can be customized in the settings. The ATR is plotted on the same chart for quick volatility reference without needing a separate panel. This tool is designed for traders who want a clean, lightweight view of trend strength and volatility in a single indicator.
Indicatore Pine Script®
di matan2t
Moving Average 13 Exponential//@version=6 indicator(title="Moving Average 13 Exponential", shorttitle="EMA", overlay=true, timeframe="", timeframe_gaps=true) len = input.int(9, minval=1, title="Length") src = input(close, title="Source") offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, display = display.data_window) out = ta.ema(src, len) plot(out, title="EMA", color=color.yellow, offset=offset) // Smoothing MA inputs GRP = "Smoothing" TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maTypeInput = input.string("None", "Type", options = , group = GRP, display = display.data_window) var isBB = maTypeInput == "SMA + Bollinger Bands" maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None") bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB) var enableMA = maTypeInput != "None" // Smoothing MA Calculation ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "SMA + Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // Smoothing MA plots smoothingMA = enableMA ? ma(out, maLengthInput, maTypeInput) : na smoothingStDev = isBB ? ta.stdev(out, maLengthInput) * bbMultInput : na plot(smoothingMA, "EMA-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA) bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB) bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB) fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
Indicatore Pine Script®
di casefiles
Multi EMA (up to 6) - JamilThis indicator plots six customizable Exponential Moving Averages (EMA 1 to EMA 6) designed to help traders quickly identify market direction, trend strength, and dynamic support/resistance levels. 🔹 Key Features Plots six EMAs simultaneously for multi-timeframe trend clarity Helps detect trend reversals, pullbacks, and continuation setups Ideal for scalping, intraday, swing trading, and funded challenges Works on all markets (Gold, Forex, Crypto, Indices) Customizable lengths and colors Clean and lightweight — doesn’t affect chart performance 🔹 How to Use When all EMAs are aligned and fanning out → Strong Trend EMA compression → Low volatility / possible breakout setup Price above all EMAs → Bullish zone Price below all EMAs → Bearish zone Perfect for traders who want a simple yet powerful trend-reading tool.
Indicatore Pine Script®
di shakeelhafi
ATR Based TMA Bands [NeuraAlgo]ATR-Based TMA Bands ATR-Based TMA Bands is a volatility-adaptive channel system built around a smoothed Triangular Moving Average (TMA). It identifies trend direction, momentum shifts, and reversal opportunities using a combination of TMA structure and ATR-driven channel expansion. Perfect for traders who want a clean, intelligent, and adaptive market framework. Made by NeuraAlgo. 🔷 How It Works 1. 🔹 TMA Midline (Core Trend) The indicator builds a smooth and stable midline using: 📐 Triangular Moving Average 🔄 Additional EMA smoothing This creates a low-noise trend curve that reacts cleanly to real momentum changes. 2. 📈 Volatility-Adjusted Bands The channels are built from: 📊 Standard Deviation × Expansion Multiplier 📏 Three ATR-based outer layers These bands: Expand in high volatility Contract in stable markets Reveal pullbacks, breakout zones, and exhaustion points 3. 🔁 Trend Tilt Algorithm Slope is measured using an ATR-normalized tilt formula: atrBase = ta.atr(smoothLen) tilt = (midline - midline ) / (0.1 * atrBase) This classifies the trend into: Bullish Bearish Neutral The bar colors and midline adjust automatically to match market direction. 4. 🔄 Reversal Detection (Turn Signals) The indicator flags directional flips: Turn Up → bearish → bullish shift Turn Down → bullish → bearish shift These are early reversal alerts ideal for swing traders. 5. 🎯 Flip Buy / Flip Sell Signals Deep volatility extensions create high-probability re-entry zones: Flip Buy → price rebounds from oversold ATR zone Flip Sell → price rejects from overbought ATR zone Great for: Mean-reversion entries Trend re-tests Pullback trades Exhaustion signals 📌 How to Use This Indicator ✔ Trend Trading Follow trend using tilt-colored candles Use midline as dynamic trend filter Use channels for breakout/pullback entries ✔ Reversal Trading Watch for Turn Up / Turn Down labels Flip signals show where the market is over-stretched ✔ Risk Management ATR channels automatically adjust to volatility Helps with smarter SL/TP placement ⭐ Best For Trend traders Swing traders Reversal hunters Volatility lovers Anyone wanting a smart, clean technical framework 💡 Core Features TMA-smoothed trend detection Multi-layer ATR expansion channels Intelligent trend tilt algorithm Turn Up / Turn Down reversal markers Flip Buy / Flip Sell exhaustion signals Adaptive bar coloring Clean and professional visual design
Indicatore Pine Script®
di NeuraAlgo
The Trade Plan 9 & 15 EMA⭐ What Are EMAs? An Exponential Moving Average (EMA) gives more weight to recent prices, making it more responsive than a simple moving average. 9-EMA = very fast, reacts quickly to price changes 15-EMA = slightly slower, smooths short-term noise Together they help identify momentum shifts. 📈 How the 9/15 EMA Strategy Works 1. Buy Signal (Bullish Crossover) You enter a long (buy) trade when: ➡ 9 EMA crosses above the 15 EMA This suggests momentum is shifting upward and a new uptrend may be forming. 2. Sell Signal (Bearish Crossover) You enter a short (sell) trade or exit long positions when: ➡ 9 EMA crosses below the 15 EMA This suggests momentum is turning downward. 🔧 How Traders Typically Use It Entry Wait for a clear crossover. Confirm with price closing on the same side of EMAs. Some traders add confirmation using RSI, MACD, or support/resistance. Exit Several options: Exit when the opposite crossover occurs. Exit at predetermined risk-reward levels (e.g., 1:2). Use trailing stop below/above EMAs. 👍 Strengths Easy to follow Good for fast-moving markets Works well on trending markets Minimal indicators needed 👎 Weaknesses Whipsaws in sideways markets Many false signals on very low timeframes Works best with additional filters 🕒 Common Timeframes Scalping: 1m, 5m Day trading: 5m, 15m Swing trading: 1H, 4H
Indicatore Pine Script®
di miyarajmahamad284
5-Day SMAPine Script v5 indicator that plots a 5-day Simple Moving Average with configurable styling options: Features: 5-Day SMA: Calculates the simple moving average of the closing price over 5 periods Configurable Line Color: Choose any color for the line through the settings Configurable Line Style: Select between Solid, Dashed, or Dotted lines Line Width: Adjustable from 1 to 5 pixels The SMA will automatically adjust to your chart's timeframe - whether you're viewing 1-minute, 1-hour, daily, or any other timeframe, it will calculate the moving average over the last 5 periods of that timeframe.
Indicatore Pine Script®
di pallepati
EMAs Bullish/Bearish Confluence [Trend Bias]EMA Confluence Zones This indicator is designed to simplify trend identification by visually highlighting "Confluence Zones" —areas where short-term, medium-term, and long-term momentum are fully aligned. While traders can manually add three Moving Averages to a chart, identifying the exact moment all three align (the "Perfect Stack") can be visually difficult during live trading. This script automates that process, converting complex line crosses into simple background color zones and providing actionable alerts for the exact moment a trend alignment begins. 🛠 How It Works The script utilizes three customizable Exponential Moving Averages (EMAs) to detect the market bias: Short EMA: Represents immediate price action/momentum. Medium EMA: Represents the intermediate trend. Long EMA: Represents the major trend baseline. Calculations & Logic The indicator checks for a specific hierarchical alignment (Stacking) of these averages: 1. 🟢 Bullish Confluence (Buy Zone):** Returns true when `Short > Medium` AND `Medium >Long`. This confirms that momentum is rising across all three monitored timeframes. 2. 🔴 Bearish Confluence (Sell Zone):** Returns true when `Short < Medium` AND `Medium < Long`. This confirms that momentum is falling across all three monitored timeframes. 3. ⚪ Neutral (No Color): Any other state indicates a choppy or consolidating market where the EMAs are intertwined. --- 🚀 Key Features *Visual Bias Confirmation: The background highlights Green (Bullish) or Red (Bearish) only when the "Perfect Stack" conditions are met. Trend Start Alerts: Unlike standard EMA cross alerts, this script includes custom alert conditions that trigger only on the first bar where the confluence becomes valid. This prevents spam alerts during a prolonged trend. Full Customization: Users can adjust the lengths of all three EMAs to fit specific strategies (e.g., Scalping vs. Swing Trading). Clean Chart Mode: Includes options to hide the EMA lines entirely and rely solely on the background color for a minimalist "Naked Trading" setup. 🎯 How to Use 1. Trend Filter: Use the background color to determine your directional bias. If the background is Green, look only for Long setups on lower timeframes. If Red, look only for Short setups. 2. Breakout Confirmation: If price breaks a key level, wait for the background color to flip. This confirms that the Moving Averages have caught up to the move, validating the breakout strength. 3. Exit Signal: If you are in a trend trade and the background color disappears (turns transparent), it indicates the trend momentum is fading and the EMAs are beginning to cross/compress. ⚙️ Settings EMA Lengths: Default is 20, 50, 100. These can be changed to common combinations like (9, 21, 55) or (50, 100, 200). Visuals: Toggle lines or background colors on/off and adjust transparency to keep your chart readable. --- Disclaimer: This script is for informational purposes only. Past performance of a trend following method does not guarantee future results. Always use proper risk management.
Indicatore Pine Script®
di Kodologic
DarkPool's Gann High Low Activator DarkPool's Gann High-Low Activator. It enhances the traditional trend-following logic by integrating Heikin Ashi smoothing, Multi-Timeframe (MTF) analysis, and volatility filtering. It is designed to filter out market noise and provide clearer trend signals during volatile conditions. Underlying Concepts Heikin Ashi Smoothing: Standard price candles can produce erratic signals due to wicks and short-term volatility. This script includes a "Calculation Mode" setting that allows the Gann logic to run on Heikin Ashi average prices. This smoothes out price data, helping traders stay in trends longer by ignoring temporary pullbacks. Gann High-Low Logic: The core algorithm tracks the Simple Moving Average (SMA) of Highs and Lows over a user-defined period. Bullish Trend: Price closes above the trailing SMA of Highs. Bearish Trend: Price closes below the trailing SMA of Lows. Volatility & Trend Filtering: To reduce false signals during sideways markets, this tool employs two filters: ADX Filter (Choppiness): Uses the Average Directional Index to detect low-volatility environments. If the ADX is below the defined threshold (default 20), the indicator identifies the market as "choppy" and suppresses signals to preserve capital. EMA Filter (Baseline): An optional Exponential Moving Average filter ensures trades are only taken in the direction of the longer-term trend (e.g., Longs only above the 200 EMA). Features Dual Calculation Modes: Switch between Standard price logic and Heikin Ashi smoothing logic. Multi-Timeframe (MTF): Calculate the trend based on a higher timeframe (e.g., 4-Hour) while viewing a lower timeframe chart (e.g., 15-Minute). Automated JSON Alerts: Generates machine-readable JSON alert payloads compatible with external trading bots and webhooks. Live Dashboard: A data table displaying the current Trend State, Calculation Mode, ADX Value, and risk percentage. How to Use Buy Signal: Generated when the trend flips Bullish, provided the ADX indicates sufficient momentum and the price satisfies the EMA filter (if enabled). Sell Signal: Generated when the trend flips Bearish, subject to the same momentum and trend filters. Neutral State (Gray Cloud): When the cloud fill turns gray, the market is in consolidation. It is recommended to avoid entering new positions during this state. Trailing Stop: The Gann Line serves as a dynamic trailing stop-loss level. A close beyond this line invalidates the current trend. Settings Configuration Calculation Mode: Select "Standard" for raw price action or "Heikin Ashi" for smoothed trend following. Gann Length: Lower values (3-5) are suitable for short-term scalping; higher values (10+) are better for swing trading. MTF Mode: Enable to lock the calculation to a specific higher timeframe. ADX Threshold: Adjust based on asset volatility. Recommended: 20-25 for Crypto, 15-20 for Forex/Indices. Disclaimer This source code and the information presented here are for educational purposes only. This script does not constitute financial advice, trading recommendations, or a solicitation to buy or sell any financial instruments. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. Past performance is not indicative of future results. The author assumes no responsibility for any losses incurred while using this indicator. Use this tool at your own discretion and risk.
Indicatore Pine Script®
di DarkPoolCrypto
MYPYBiTE.com – Cloud + VWAPFor Bitcoin we found that the 3 day chart consistently indicates a pattern that anyone can back test and determine the trend confirmation is broken. Of course we won't tell you here what it is because you have to do the work or be familiar with the communities I participate in. We decided to make this available because we realized many folks do not incorporate cloud charting. This is to help noobies and we hope to incorporate other factors in time.
Indicatore Pine Script®
di FuriousStylez