Começar

Educational

3-EMA Ribbon Scalping System 3-EMA Ribbon Scalping System V2 - Trading Guide Overview This indicator combines a triple EMA ribbon with VWAP, RSI, and volume analysis to catch high-probability scalping setups for short pip hunting on highly liquid Forex pairs such as EUR/USD The Core Strategy The system waits for three conditions to align before firing a signal: 1. EMA Stack** - The 8/13/21 EMAs must be properly stacked (bullish: 8>13>21, bearish: 8<13<21) 2. VWAP Position** - Price needs to be on the right side of VWAP for the trade direction 3. Pullback Entry** - Price pulls back to test the fast EMA while maintaining the trend structure When these line up with proper RSI readings and a volume spike, you get your entry signal. Reading the Signals LONG Entries Triggered when: - EMAs are bullishly stacked (green background) - Price is above VWAP - We get a pullback to the 8 EMA that holds - RSI is between 40-70 (momentum present but not overbought) - Volume exceeds the 20-period average by 1.2x SHORT Entries Mirror opposite conditions: - Bearish EMA stack (red background) - Price below VWAP - Rejection at the 8 EMA - RSI between 30-60 - Volume confirmation present Risk Management Built In (freely adjustable to match your own approach when it comes to taking risk) Each signal automatically calculates: - Stop Loss: 1x ATR from entry - Target 1: 1:1 risk/reward ratio - *arget 2: 2:1 risk/reward ratio You can display these as lines or labels, or turn them off entirely if you prefer your own levels. Quick Setup Tips Start with the default settings - they work well on most timeframes from 1-minute to 1-hour charts. The sweet spot for scalping is typically the 3-minute or 5-minute timeframe. The info panel in the top right gives you a quick market snapshot without cluttering your chart: - Trend direction - VWAP position - RSI value - Volume status - Current signal state If you're getting too many signals, increase the "Min Bars Between Signals" to filter out choppy action. For cleaner charts during analysis, you can toggle off individual components like the ribbon, backgrounds, or signals. Tips for Live Trading 1. Don't chase - Wait for price to come to the 8 EMA, not the other way around 2. Volume matters - That volume spike filter catches the moves with real momentum behind them 3. Respect the trend - The EMA stack keeps you trading with the flow, not against it 4. Use multiple timeframes - Check a higher timeframe for overall bias before taking signals The indicator includes alerts that fire with exact entry, stop, and target levels - perfect for quick execution or logging trades. Remember, this is a scalping system designed for active trading. It works best in trending markets with good volatility. During ranging or low-volume periods, consider sitting on your hands or reducing position size. Trade at your own risk, I created this solely for educational purposes! Customization Options Display Settings - Show/hide EMA ribbon - Toggle entry signals - Background colors with adjustable opacity - Info panel size options - VWAP visibility Technical Parameters - EMA Settings: Adjustable lengths for fast (8), medium (13), and slow (21) EMAs - RSI Settings: Customizable overbought/oversold levels and momentum thresholds - Volume Settings: Multiplier for volume confirmation and MA length - Risk Management: ATR multiplier for stops, customizable R:R ratios Nearly everything is adjustable, but the defaults are solid. Focus on reading the market structure first before tweaking settings. Visual Features Background Colors - Green: Bullish trend (EMAs stacked bullishly) - Red: Bearish trend (EMAs stacked bearishly) - Gray: Neutral/choppy conditions Signal Styles Choose between: - Text labels - Arrow markers - Both combined Stop Loss & Take Profit Display Three modes available: - None: No SL/TP visualization - Current: Shows lines for active trade - Labels: Displays small labels at price levels Best Markets & Timeframes Optimal Markets: - Forex pairs (especially majors) - Stock indices - Liquid cryptocurrencies - High-volume stocks Alert System Comprehensive alerts include: - Entry signal notification - Exact entry price - Stop loss level with pip distance - Take profit levels with pip distances - Trade direction and symbol Important Notes - This is a "momentum-based scalping system" - not suitable for ranging markets - Best results come from pairing with your understanding of key levels and market context - The volume filter helps avoid false signals during low-liquidity periods - Consider overall market conditions and news events before trading Version Info 3-EMA Ribbon Scalping System - Refined entry logic - Improved visual clarity - Enhanced risk management tools - Optimized performance tracking
Indicador Pine Script®
por CryptoForMoney
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones. This script performs offline (static) K-means training on your chosen historical window. Using four engineered features: RSI (Momentum) CCI (Price deviation / Mean reversion) CMF (Money flow / Strength) MACD Histogram (Trend acceleration) It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space. This allows you to create models like: Regime-based long/short filters Volatility phase detectors Trend vs. chop separation Mean-reversion vs. breakout classification Volume-enhanced money-flow regime shifts Full machine-learning trading systems based solely on regimes Note: This script is not a universal ML strategy out of the box. The user must engineer the feature set to match their trading style and target market. K-means is a tool, not a ready made system, this script provides the framework. Core Idea K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together. // STEP 1 — DATA POINTS ON A COORDINATE PLANE // We start with raw, unlabeled data scattered in 2D space (x/y). // At this point, nothing is grouped—these are just observations. // K-means will try to discover structure by grouping nearby points. // // y ↑ // | // 12 | • // | • // 10 | • // | • // 8 | • • // | // 6 | • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS // The algorithm begins by placing K centroids at random positions. // These centroids act as the temporary “representatives” of clusters. // Their starting positions heavily influence the first assignment step. // // y ↑ // | // 12 | • // | • // 10 | • C2 × // | • // 8 | • • // | // 6 | C1 × • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 3 — ASSIGN POINTS TO NEAREST CENTROID // Each point is compared to all centroids. // Using simple Euclidean distance, each point joins the cluster // of the centroid it is closest to. // This creates a temporary grouping of the data. // // (Coloring concept shown using labels) // // - Points closer to C1 → Cluster 1 // - Points closer to C2 → Cluster 2 // // y ↑ // | // 12 | 2 // | 1 // 10 | 1 C2 × // | 2 // 8 | 1 2 // | // 6 | C1 × 2 // | // 4 | 1 // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // (1 = assigned to Cluster 1, 2 = assigned to Cluster 2) // At this stage, clusters are formed purely by distance. Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again. This makes the model: Predictable Repeatable Consistent across backtests Fast for live use (no recalculation of centroids every bar) Static Training Window You select a period with: Training Start Training End Only bars inside this range are used to fit the K-means model. This window defines: the market regime examples the statistical distributions (means/std) for each feature how the centroids will be positioned post-trainin Bars before training = fully transparent Training bars = gray Post-training bars = full colored regimes Feature Engineering (4D Input Vector) Every bar during training becomes a 4-dimensional point: This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar. Standardization To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized: standardize(value, mean, std) => (value - mean) / std Centroid Initialization Centroids start at diverse coordinates using various curves: linear sinusoidal sign-preserving quadratic tanh compression init_centroids() => // Spread centroids across using different shapes per feature for c = 0 to k_clusters - 1 frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1 v = frac * 2 - 1 // -1 → +1 array.set(cent_rsi, c, v) // linear array.set(cent_cci, c, math.sin(v)) // sinusoidal array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving array.set(cent_mac, c, tanh(v)) // compressed This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript. K-Means Iterative Refinement The algorithm repeats these steps: (A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D: distance = sqrt(dx² + dy² + dz² + dw²) (B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable). LIVE REGIME CLASSIFICATION After training, each new bar is: Standardized using the training mean/std Compared to all centroids Assigned to the nearest cluster Bar color updates based on cluster No re-training occurs. This ensures: No lookahead bias Clean historical testing Stable regimes over time CLUSTER BEHAVIOR & TRADING LOGIC Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does. Example of custom actions: Cluster 0 → Cash Cluster 1 → Long Cluster 2 → Short Cluster 3+ → Cash (noise regime) This flexibility means: One trader might have cluster 0 as consolidation. Another might repurpose it as a breakout-loading zone. A third might ignore 3 clusters entirely. Example on ETHUSD Important Note: Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change The script does NOT assume any cluster equals any actionable bias, user decides. PERFORMANCE METRICS & ROC TABLE The indicator computes average 1-bar ROC for each cluster in: Training set Test (live) set This helps measure: Cluster profitability consistency Regime forward predictability Whether a regime is noise, trend, or reversion-biased EQUITY SIMULATION & FEES Designed for close-to-close realistic backtesting. Position = cluster of previous bar Fees applied only on regime switches. Meaning: Staying long → no fee Switching long→short → fee applied Switching any→cash → fee applied Fee input is percentage, but script already converts internally. Disclaimers ⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more. ⚠️ Backtest results are not indicative of future performance. ⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
Indicador Pine Script®
por InvestorUnknown
2
[CASH] Crypto And Stocks Helper (MultiPack w. Alerts)ATTENTION! I'm not a good scripter. I have just learned a little basics for this project, stolen code from other public scripts and modified it, and gotten help from AI LLM's. If you want recognition from stolen code please tell me to give you the credit you deserve. The script is not completely finished yet and contains alot of errors but my friends and family wants access so I made it public. _________________________________________________________________________________ CASH has multiple indicators (a true all-in-one multipack), guides and alerts to help you make better trades/investments. It has: - Bitcoin Bull Market Support Band - Dollar Volume - 5 SMA and 5 EMA - HODL Trend (a.k.a SuperTrend) indicator - RSI, Volume and Divergence indicators w. alerts More to come as well, like Backburner and a POC line from Volume Profile. Everything is fully customizable, appearance and off/on etc. More information and explainations along with my guides you can find in settings under "Input" and "Style".
Indicador Pine Script®
por SenorBufoAlvarius
🔥 SMC Reversal Engine v3.5 – Clean FVG + DashboardSMC Reversal Engine v3.5 – Clean FVG + Dashboard The SMC Reversal Engine is a precision-built Smart Money Concepts tool designed to help traders understand market structure the single most important foundation in reading price action. It reveals how institutions move liquidity, where structure shifts occur, and how Fair Value Gaps (FVGs) align with these changes to signal potential reversals or continuations. Understanding How It Works At its core, the script detects CHoCH (Change of Character) and BOS (Break of Structure)—the two key turning points in institutional order flow. A CHoCH shows that the market has reversed intent (for example, from bearish to bullish), while a BOS confirms a continuation of the current trend. Together, they form the backbone of structure-based trading. To refine this logic, the engine uses fractal pivots clusters of candles that confirm swing highs and lows. Fractals filter out noise, identifying points where price truly changes direction. The script lets you set this sensitivity manually or automatically adapts it depending on the timeframe. Lower fractal sensitivity captures smaller intraday swings for scalpers, while higher sensitivity locks onto major swing structures for swing and position traders. The dashboard gives you a real-time reading of the trend, the last high and low, and what the market is likely to do next—for example, “Expect HL” or “Wait for LH.” It even tracks the accuracy of these structure predictions over time, giving an educational feedback loop to help you learn price behavior. Fair Value Gaps and Tap Entries Fair Value Gaps (FVGs) mark moments when price moves too quickly, leaving inefficiencies that institutions often revisit. When price taps into an FVG, it often acts as a high-probability entry zone for reversals or continuations. The script automatically detects, extends, and deletes old FVGs, keeping only relevant zones visible for a clean chart. Traders can enable markTapEntry to visually confirm when an FVG gets filled. This is a simple but powerful trigger that often aligns with CHoCH or BOS moments. Recommended Settings for Different Traders For Scalpers, use a lower HTF structure such as 1 minute or 5 minutes. Keep Auto Fractals on for faster reaction, and limit FVG zones to 2–3. This gives you a clean, real-time reflection of order flow. For Intraday Traders, 15-minute to 1-hour structure gives the perfect balance between reactivity and stability. Fractal sensitivity around 3–5 captures the most actionable levels without excessive noise. For Swing Traders, use 4-hour, 1-day, or even 3-day structure. The chart becomes smoother, showing higher-order CHoCH and BOS that define true institutional transitions. Combine this with EMA confirmation for higher conviction. For Position or Macro Traders, select Weekly or Monthly structure. The dynamic label system expands automatically to keep more historical BOS/CHoCH points visible, allowing you to see long-term shifts clearly. Educational Value This indicator is built to teach traders how to see structure the way professionals and smart money do. You’ll learn to recognize how markets transition from one phase to another from accumulation to manipulation to expansion. Each CHoCH or BOS helps you decode where liquidity is being taken and where new intent begins. The included SMC Quick Guide explains each structural cue right on your chart. Within days of using it, you’ll start noticing patterns that reveal how price really moves, instead of guessing based on indicators. Settings and How to Use Them Everything in the SMC Reversal Engine is designed to adapt to your trading style and help you read structure like a professional. When you open the Inputs Panel, you’ll see sections like Fractal Settings, FVG Settings, Buy/Sell Confirmation, and Educational Tools. Under Fractal Settings, you can choose the higher timeframe (HTF) that defines structure—from minutes to weeks. The Auto Fractal Sensitivity option automatically adjusts how tight or wide swing points are detected. Lower sensitivity captures short-term fluctuations (great for scalpers), while higher values filter noise and isolate major swing highs and lows (perfect for swing traders). The Fair Value Gap (FVG) options manage imbalance zones—the footprints of institutional orders. You can show or hide these zones, extend them into the future, and control how long they remain before auto-deletion. The Mark Entry When FVG is Tapped option places a small label when price revisits the gap—a potential entry signal that aligns with smart money logic. EMA Confirmation adds a layer of confluence. The script can automatically scale EMA lengths based on timeframe, or you can input your preferred values (for example, 9/21 for intraday, 50/200 for swing). Require EMA Crossover Confirmation helps filter false moves, keeping you trading only with aligned momentum. The Educational section gives traders visual reinforcement. When enabled, you’ll see tags like HH (Higher High), HL (Higher Low), LH (Lower High), and LL (Lower Low). These show structure shifts in real time, helping you learn visually what market structure really means. The Cheat Sheet panel summarizes each term, always visible in the corner for quick reference. Early Top Warnings use wick size and RSI divergence to signal when price may be overextended—a useful heads-up before potential CHoCH formations. Finally, the Narrative and Accuracy System translates structure into simple English—messages like Trend Bullish → Wait for HL or BOS Bearish → Expect LL. Over time, you can monitor how accurate these expectations have been, training your pattern recognition and confidence. Pro Tips for Getting the Most Out of the SMC Reversal Engine 1. Start on Higher Timeframes First: Begin on the 4H or Daily chart where structure is cleaner and signals have more weight. Then scale down for entries once you grasp directional intent. 2. Use FVGs for Context, Not Just Entries: Observe how price behaves around unfilled FVGs—they often act as magnets or barriers, offering insight into where liquidity lies. 3. Combine With HTF Bias: Always trade in the direction of your higher timeframe trend. A bullish weekly BOS means lower timeframes should ideally align bullishly for optimal setups. 4. Clean Charts = Clear Mind: Use Minimal Mode when focusing on price action, then toggle the educational tools back on to review structure for learning. 5. Don’t Chase Every CHoCH or BOS: Focus on significant breaks that align with broader context and liquidity sweeps, not minor fluctuations. 6. Accuracy Rate Is a Feedback Tool: Use the accuracy stat as a reflection of consistency—not a trade trigger. 7. Build Narrative Awareness: Read the on-chart narrative messages to reinforce structured thinking and stay disciplined. 8. Practice Replay Mode: Step through past structures to visually connect CHoCH, BOS, and FVG behavior. It’s one of the best ways to train pattern recognition. Summary * Detects CHoCH and BOS automatically with fractal precision * Identifies and manages Fair Value Gaps (FVGs) in real time * Displays a smart dashboard with accuracy tracking * Adapts label visibility dynamically by timeframe * Perfect for both learning and trading with institutional clarity This tool isn’t about predicting the market—it’s about understanding it. Once you can read structure, everything else in trading becomes secondary.
Indicador Pine Script®
por renderingnature1
9
MAGIC MA BANDSMagic MA Bands — Dynamic Trend Zones Instead of Lines Magic MA Bands help traders visualize dynamic support and resistance zones rather than relying on a single moving average line. Instead of treating the MA as an exact reaction level, this tool creates a band or zone where price is statistically more likely to react, reverse, or continue trending. 🧠 How It Works The script plots: Upper Band (default: 50 EMA using High values) Lower Band (default: 50 EMA using Low values) Optional Midline MA (default: 200 SMA for long-term trend) The area between the upper and lower bands becomes a trend cushion, helping traders identify: Dynamic support/resistance zones Trend strength and continuation probability Ideal pullback entry regions 🎯 Trend Interpretation Guide Use Case Recommended Setting Short-Term Trend 20/21 EMA or SMA Medium-Term Trend 50 EMA / SMA Long-Term Trend 200 SMA / EMA (Midline Optional) All parameters are fully customisable so the user can define their preferred structure based on their trading style, asset volatility, or timeframe. ✔️ Best For: Trend traders Swing trading Pullback-based entries Institutional-style zone analysis
Indicador Pine Script®
por vighnesh15b
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Indicador Pine Script®
por viveksadokj1uli
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Indicador Pine Script®
por viveksadokj1uli
1
Rotation SentinelROTATION SENTINEL v1.1 — OVERVIEW Rotation Sentinel is a macro rotation engine that tracks 10 institutional-grade dominance, liquidity, and trend signals to identify when capital is flowing into altcoins. Each row outputs Green / Yellow / Red, and the system produces a 0–10 Rotation Score plus a final regime: 🔴 NO ROTATION (0–4) 🟡 ROTATION STARTING (5–6) 🟢 ALTSEASON (7–10) Use on Daily timeframe for best accuracy. KEY SIGNALS 1️⃣ BTC.D ex-stables Shows true BTC vs alt strength. 🟢 Falling = capital rotating into alts. 🔴 Rising = alts bleeding. (Master switch.) 2️⃣ OTHERS.D Broad altcoin dominance. 🟢 Rising = early alt strength. 🔴 Falling = weak participation. 3️⃣ ETH/BTC Rotation ignition. 🟢 ETH outperforming = rotation can start. 🔴 ETH lagging = altseason impossible. 4️⃣ STABLE.C.D Crypto “fear index.” 🟢 Falling = risk-on environment. 🔴 Rising = capital hiding in stables. 5️⃣ USDT.D Real-time risk positioning. 🟢 Falling = capital deploying. 🔴 Rising = defensive. 6️⃣ TOTAL3 (HTF Trend) Structural alt market health. 🟢 Above SMA + rising = bullish structure. 🔴 Below SMA + falling = systematic weakness. 7️⃣ TOTAL3 / TOTAL2 Depth of rotation. 🟢 Mid/small caps outperforming = deep rotation. 🔴 Only large caps moving = shallow cycle. 8️⃣ Risk Ratio (OTHERS.D / STABLE.C.D) Pure risk appetite. 🟢 Alts gaining on stables = risk-on. 9️⃣ OTHERS/BTC Alt value vs BTC. 🟢 Rising = alts outperforming BTC. 🔟 Liquidation Heatmap (Manual) Update from Hyblock/Coinalyze. 🟢 Liquidity above = upside easier. ALTSEASON TRIGGER Fires only when all 6 core conditions turn GREEN: BTC.D ex-stables OTHERS.D ETH/BTC STABLE.C.D TOTAL3 structure Rotation Score ≥ threshold (default 7) BEST PRACTICES Use Daily timeframe (macro rotation, not intraday noise) Score < 5 → defensive / selective trades Score 5–6 → early rotation window Score ≥ 7 → confirmed altseason regime Let alerts notify you; no need to manually monitor INCLUDED ALERTS 🚨 ALTSEASON TRIGGERED ⚠️ Rotation Score Crossed Threshold 📈 ETH/BTC Rotation Clock Activated 🔥 OTHERS.D Breaking Higher
Indicador Pine Script®
por cdotgnz
Steff- OBX- DTA OBX – US Open 15-Minute Zone Indicator This indicator highlights the first 15 minutes of the U.S. stock market opening, also known as the OBX (Opening Balance Extension). It is designed specifically for Nasdaq and S&P 500, which open at 09:30 New York time — corresponding to 15:30 Danish time. What this indicator does: • Marks the price range from 09:30–09:45 (U.S. time) as a zone on your chart • Automatically adjusts to your local timezone, so the zone always aligns with Danish time • Extends the zone to the right so you can track how price interacts with OBX throughout the day • Draws all historical OBX zones so you can analyze previous reactions • Rebuilds zones automatically when switching timeframes • Detects breakouts from the zone • Tracks balancing time only after a real breakout occurs • Can automatically remove a zone if price spends a continuous amount of time inside it after the breakout (you set the minutes yourself) • Allows full customization of OBX start time, duration, and behavior • Individual zones can be manually deleted without being redrawn by the indicator Why the OBX matters: The OBX represents one of the most influential time windows in intraday trading because it reflects: • The first injection of liquidity after the U.S. market opens • Institutional positioning and algorithmic adjustments • Early volatility and directional bias • Common zones for reversals, breakouts, or mean reversion • Key high-probability reaction levels used by professional traders This indicator gives you a clear visual representation of when the market reacts to the U.S. open and how price interacts with the opening range throughout the session.
Indicador Pine Script®
por Mustadtu
Previous Day Candle [ApexFX]Previous Day Candle is a precision tool designed for intraday traders who rely on previous daily structures to find support and resistance. While most indicators simply mark the previous high and low, this tool focuses on Session Continuity. It highlights the full 24-hour range of the previous day and extends those levels into the "Killzone" of the current trading day (up to 2:00 PM EST / 12:00 PM MST). Why use this? Market reaction often occurs at the previous day's extremes. By extending these lines into the current session, you can easily spot: Breakouts: Price pushing through yesterday's high. Failed Auctions: Price sweeping yesterday's low and reversing. Support/Resistance Flips: Old highs becoming new support. Main Features: Asset Class Presets: Don't worry about timezones. Simply select your market: Forex: Aligns to the standard 5:00 PM EST New York Open. Indices: Aligns to the 6:00 PM EST Globex Open. Crypto: Aligns to UTC Midnight. Custom: Full manual control for specific needs. Visual "Boxing": Vertical dotted lines clearly demarcate the start and end of the previous trading day. Dynamic History: Choose to show just yesterday's levels or look back at the last 5+ days. Smart Color Coding: The indicator automatically cycles colors for each day (Blue = Yesterday, Green = 2 Days Ago, etc.), making it instant to read historical price action. Best Used On: Intraday timeframes (5m, 15m, 1h).
Indicador Pine Script®
por ApexFX-Official
1
Forward Returns – (Next Month Start)This indicator calculates 1-month, 3-month, 6-month, and 12-month forward returns starting from the first trading day of the month following a defined price event. A price event occurs when the selected asset drops below a user-defined threshold over a chosen timeframe (Day, Week, or Month). For monthly conditions, the script evaluates the entire performance of the previous calendar month and triggers the event only at the first trading session of the next month, ensuring accurate forward-return alignment with historical monthly cycles. The forward returns for each detected event are displayed in a paginated performance table, allowing users to navigate through large datasets using a page selector. Each page includes: Entry Date Forward returns (1M, 3M, 6M, 12M) Average forward return Win rate (percentage of positive outcomes) This tool is useful for studying historical performance after major drawdowns, identifying seasonal patterns, and building evidence-based risk-management or timing models.
Indicador Pine Script®
por pcingari
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum. The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex. This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values ​​correspond to a stable and calm market environment, and lower values ​​indicate periods of increased risk and potential liquidity stress. LT generates an integral liquidity index in the range based on five normalized components: -nVol — normalized volume, reflecting trading density and activity. -nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity. -nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement. -nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand. -nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes. Each metric is linearly normalized over a sliding window (200 bars) using the formula: norm(x) = (x − min) / (max − min), where at max = min, the value is fixed at 0.5 to ensure stability. The ALT index is calculated as a weighted combination: ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove) The result is further smoothed using EMA(3) to reduce micronoise. Red Zone (MLI < 0.25) — Risk, Thin Liquidity When the indicator falls into the red zone, it means the market is extremely volatile: Characteristics: Low volume — small trades have a strong impact on the price. High volatility — candlesticks rise or fall sharply. Wide candlestick range — the market is "breathing heavily," easily breaking price extremes. Impulsive movements — small market shocks lead to sharp spikes. Thin liquidity — few orders in the order book, large orders "eat up" the market. What this means for a trader: 🔥 High risk of spikes and false breakouts. ⚠ Possible series of liquidations on leverage. ❌ It is not recommended to enter long or short positions without a filter or protection. ✅ Can be used for short scalping strategies if you know the entry point, but very carefully. Green Zone (MLI > 0.75) — High Liquidity, Safe Zone When the indicator rises into the green zone, it means the market is stable and balanced: Characteristics: High volume — the market is deep, orders are executed without a strong impact on the price. Low volatility — candlesticks are stable, no sharp spikes. Narrow candlestick range — price moves calmly. Weak impulse movements — no sharp surges. Sufficient liquidity — the market can handle large orders. What this means for a trader: ✅ Safe zone for opening positions. 🔄 Easier to set stop-loss and take-profit orders. 💡 You can trade both up and down, the risk of sharp movements is minimal. ⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations. It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Indicador Pine Script®
por Zdorman
Trend Line Methods (TLM)Trend Line Methods (TLM) Overview Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis. Method 1 – Pivot Span Trendline The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows. • The script tracks a configurable number of recent pivot highs and lows. • From the oldest and most recent stored pivot highs, it draws an upper trend line. • From the oldest and most recent stored pivot lows, it draws a lower trend line. • An optional filled area can be drawn between the two lines to highlight the active trend span. As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points. Method 2 – 5-Point Straight Channel The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window. Within the selected window: • The window is divided into five segments of similar length. • In each segment, the highest high is used as a representative high point. • In each segment, the lowest low is used as a representative low point. • A straight regression-style line is fitted through the five high points to form the upper boundary. • A second straight line is fitted through the five low points to form the lower boundary. The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market. Inputs & Menus Pivot Span Trendline group (Method 1) • Enable Pivot Span Trendline – Turns Method 1 on or off. • High trend line color / Low trend line color – Colors of the upper and lower trend lines. • Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally. • Trend line thickness – Line width for both high and low trend lines. • Trend line style – Line style (solid, dashed, or dotted). • Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points. • Pivot Count – How many historical pivot points are kept for constructing the trend lines. • Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart. 5-Point Straight Channel group (Method 2) • Enable 5-Point Straight Channel – Turns Method 2 on or off. • High channel line color / Low channel line color – Colors of the upper and lower channel lines. • Channel line thickness – Line width for both channel lines. • Channel line style – Line style (solid, dashed, or dotted). • Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel. Using Both Methods Together Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window. When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan. Notes • This script is meant as an educational and analytical tool for studying trend lines and channels. • It does not generate trading signals and does not replace independent analysis or risk management. • The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
Indicador Pine Script®
por ata_sabanci
10