Empiece

Indicadores y estrategias

Feta Floors V1.3Feta Floors - Publication Description Summary / Hook Feta Floors is a precision-focused Multi-Timeframe (MTF) support and resistance tool designed for traders who need exact historical levels without the visual clutter of traditional horizontal lines. Unlike standard MTF indicators that project lines across the entire chart, Feta Floors uses a unique "Point-to-Right" drawing engine to originate levels from the exact candle where they occurred. 🛠 Concepts & Methodology (How it Works) This script solves two common problems found in standard multi-timeframe indicators: visual ambiguity and data inaccuracy on lower timeframes. 1. Point-to-Right Origin (Time-Based Coordinates) Standard indicators often draw a horizontal line from the start of the day/week. This obscures when the high or low was actually made. Our Solution: Feta Floors iterates through historical data to find the precise timestamp (down to the millisecond) of the Period High or Low. It draws the line starting exactly from that candle. This lets you visually backtest whether a level was created during the AM session, PM session, or overnight. Technical Detail: We utilize xloc.bar_time rather than bar_index. This is crucial for avoiding the "Bar index too far" error that plagues other scripts when viewing 1-minute charts over long periods (weeks or months back). 2. "True RTH" Calculation (Smart Session Filtering) Many traders use "Extended Trading Hours" (ETH) on their charts but only want levels based on "Regular Trading Hours" (RTH) data. The Problem: If you simply request security(..., "D", ...) on an ETH chart, Pine Script often includes pre-market data in the Daily High/Low. Our Solution: This script includes a robust "Force RTH" engine. When enabled, it manually filters every tick of data. It will ignore a new high if it occurred at 8:00 AM, waiting until 9:30 AM (or your exchange's open) to start tracking. This ensures your "Daily High" is the true RTH high, even if your chart shows pre-market action. 3. Dynamic Label Stacking When price compresses, multiple levels (e.g., Previous Day High and Previous Weekly High) can overlap, making labels unreadable. Our Solution: The script employs a custom variance algorithm. It collects all active levels for the current tick, sorts them by price, and detects if they are within a 5-tick proximity. If they are, it merges them into a single, clean label (e.g., "PDH / PWH") to maintain chart readability. ⚙️ Features & Settings Period Tracking: Daily: Previous Day High (PDH) / Low (PDL) Weekly: Previous Week High (PWH) / Low (PWL) Monthly: Previous Month High (PMH) / Low (PML) Quarterly: Previous Quarter High (PQH) / Low (PQL) Specific Day: Track highs/lows of a specific day of the week (e.g., "Monday Range"). Appearance: Customize line style (Solid, Dashed, Dotted), width, and colors for each timeframe independent of the others. 🚫 Justification for Closed Source This script relies on a custom-built PeriodTracker type and complex loop logic to handle time-based coordinate systems and manual session filtering that standard Pine Script request.security() functions cannot achieve natively with this level of precision. The source code contains proprietary methods for handling array-based label sorting and overlap avoidance which are unique to our workflow.
Indicador Pine Script®
por DeepChz
1
Super Indicator by ShahedShort Description (one‑liner) Trend‑gated line‑breakout system for 1D charts: buy breakouts + pullback buys, ATR‑buffered stops, long target & volume‑scaled target, PDL/PDH and liquidity stats, with a light green/red background for trend. Full Description What this script does Finds buy opportunities on a line chart (close): Recent High Breakout (tiny green dot) Pullback Buy after a confirmed swing‑high break → 3–7 lower closes, then a bullish bar (tiny black dot) Flags sells only for context: Recent Low Breakout and Swing‑Low Break (tiny red dots) Applies trend gating: Signals only plot when the background is light green, i.e., when SMA20 > SMA50, SMA150, and SMA200 Background turns light red when the condition fails (no signals in red regime) Uses ATR‑buffered stops and targets: Long ATR Stop = last swing low − (ATR × multiplier) Long Target (R multiple) = entry + RR × (entry − ATR stop) Volume Target = entry + (ATR × base multiplier × Relative Volume) (Relative Volume = Today’s daily volume ÷ 30‑day average daily volume, capped between user‑defined min/max) Shows a compact, relocatable info panel (no drag—choose corner in settings): Long Stop (ATR), Short Stop (ATR) PDL (previous day low), PDH (previous day high) Today’s Volume (Millions) Avg Turnover (30‑day, Crores) Long Target, Volume Target Relative Volume (x) Draws a horizontal line at the current Long Target, automatically updating on new long entries (extends to the right). Why it’s useful Simple entries on the close (line chart) with objective structure (swing confirmation). Trend alignment by design (light green background required for signals). Risk-aware: stops use ATR buffers off confirmed swing lows/highs. Liquidity-aware: targets flex with relative volume. Clean visual layer: tiny dots, light background, compact panel. Signals & Logic (plain language) Buy (Breakout): close crosses above the recent high (lookback N). Buy (Pullback): after a swing‑high break, count 3–7 consecutive lower closes, then on the next bullish bar → buy. Sell (Context): recent low breakout or a break below the most recent swing low. Trend filter: all signals only print when SMA20 > SMA50, SMA150, SMA200 (background light green). Note: Swings use pivotlow/pivothigh on close to match a line chart. Pivots confirm after swRight bars, making stops stable (but slightly delayed). Table / Panel (what you see) Long Stop (ATR) and Short Stop (ATR) PDL / PDH (from daily timeframe) Vol Today (M) and Avg Turn 30D (Cr) Long Target (R) and Volume Target Rel Vol (x) (today’s daily volume ÷ 30D average volume) You can change the panel position via Panel Position (Top‑Left / Top‑Right / Bottom‑Left / Bottom‑Right). Inputs (key) Breakout Lookback and Repaint‑safe recent levels toggle Swing Left/Right (pivot confirmation) ATR Length and ATR Multiplier RR for Long Target (e.g., 2.0R) Volume Target base ATR Multiplier, RelVol floor/ceiling Panel Position, Panel Transparency Show Target Line, color, width Enable Pullback Buy, LL min/max, Require bullish bar Show Text Labels (BUY/SELL) Alerts BUY – Recent High Broken SELL – Recent Low Broken SELL – Swing Low Broken BUY – Pullback after Swing High Break Alerts only fire when the background is green (trend up condition). Best‑practice tips This is tuned for Daily charts. For intraday, consider adjusting: Swing Left/Right (e.g., 1–2 for faster swings) ATR Multiplier (e.g., 0.5–1.0 intraday; 1.0–1.5 if noisy) RR (start with 1.0–1.5, then explore 2.0) If you want the Volume Target to matter more or less, adjust Vol Target Base ATR Multiplier and RelVol caps. Limitations & notes No repainting of signals: pivots are confirmed before being used for stops/pullback logic. Relative Volume uses daily volumes. On non‑daily charts, values still come from the daily timeframe to stay consistent. No manual drag for the panel (Pine v4 limitation). Use the corner selector. How to present screenshots 1D chart with: Light green background, green/red dots, a black pullback buy dot. Panel in a corner (e.g., Bottom Right). Target line drawn and extending right. One screenshot with a marked pullback sequence (3–7 lower closes) and the following bullish bar entry. Suggested Tags breakout, swing, ATR, trend, volume, relative-volume, PDL, PDH, targets, risk-management, line-chart Disclaimer This script is for educational purposes. Not financial advice. Trading involves risk. Always validate on your timeframe and instruments, and combine with your execution and risk rules.
Indicador Pine Script®
por Shahed9989
Adaptive EMA Selector Neo Fast by TheTradingSmurf Adaptive EMA Selector Neo Fast is a dynamic moving average selector designed for fast intraday and scalping conditions. It continuously evaluates a predefined EMA pool and automatically displays the EMA most respected by price as the Entry EMA, plus a higher timeframe Stop EMA with an ATR based buffer. The script adapts quickly using regime blending and volatility normalization, includes a futuristic dashboard, optional on chart labels, and cross fill visualization for EMA relationships. Built by TheTradingSmurf.
Indicador Pine Script®
por TheTraderSmurf
Adaptive HMA [NON-REPAINTING]The Adaptive HMA is a sophisticated trend-following indicator designed for traders who demand reliability and precision. Unlike traditional moving averages with fixed periods, this indicator automatically adjusts its sensitivity to match current market conditions while maintaining complete non-repainting integrity. Key Features ✓ 100% Non-Repainting Once a bar closes, the indicator values are locked and will never change. This ensures you can backtest accurately and trade with confidence - what you see is what you get. Dynamic Length Optimization The indicator continuously monitors market performance and adapts its Hull Moving Average length to optimize for current conditions. During trending markets, it adjusts for trend-following. During choppy markets, it recalibrates to reduce whipsaws. Visual Clarity Color-coded HMA line: Green for bullish trends, red for bearish trends HMA Envelope: High/Low bands show price channel and volatility Trend strength indicators: Background shading highlights strong trending conditions Optimization markers: Yellow arrows show when the system recalibrates Comprehensive Performance Dashboard The built-in information table displays: Current locked HMA length Optimization cycle progress Trend direction and strength (Strong Bull/Bear/Neutral) HMA velocity (momentum indicator) Performance score Win rate and profit factor from internal backtesting Total optimization cycles completed How To Use Trend Identification: Follow the color of the HMA line. Green = bullish bias, Red = bearish bias. Entry Signals: Look for HMA color changes combined with strong trend background shading. The indicator shows "STRONG BULL" or "STRONG BEAR" when momentum confirms direction. Risk Management: Use the HMA envelope (high/low bands) as dynamic support/resistance levels and potential stop-loss placement zones. Timeframe Confirmation: The system works on any timeframe. Many traders use it on multiple timeframes for confluence. Customizable Settings Optimization Window: Control how often the system recalibrates (default: 50 bars) Min/Max HMA Length: Set the adaptive range (default: 10-100) Display Options: Toggle envelope, optimization markers, and background shading Color Schemes: Fully customizable colors for bullish/bearish/neutral conditions Who Is This For? Swing Traders: Identify and ride medium-term trends with confidence Day Traders: Spot intraday momentum shifts and strong directional moves Position Traders: Filter out noise and focus on major trend changes System Developers: Use as a core trend filter in automated strategies What Makes It Different? Most adaptive indicators repaint - meaning their historical values change as new data comes in, making backtesting unreliable. This indicator uses a locked optimization window approach: once the HMA length is set, it stays fixed for a predetermined number of bars. This ensures complete historical accuracy while still adapting to evolving market dynamics. Alert System Built-in alerts notify you of: Optimization cycles (when new length is locked) Strong bullish/bearish trend detection Custom conditions you can configure Important Note: This indicator is a technical analysis tool. It does not guarantee profitable trades. Always use proper risk management and combine with your own analysis and trading plan.
Indicador Pine Script®
por akhlaque16g55
Dynamic Power Z-Score [D-PZS]Dynamic Power Z-Score This indicator is a momentum tool designed to identify market reversal points with high precision. It combines internal price strength ("Power") with statistical analysis to detect overbought and oversold conditions. Methodology The script calculates the internal strength of price action and smooths it using a Double Exponential Moving Average (DEMA). It features an adaptive mechanism that adjusts the calculation period based on market volatility. Finally, it uses a Z-Score formula to normalize the data and generate signals. Signals (Reversed Color Logic) This version uses specific colors to highlight market extremes: - Green Circle (Above Bar): Indicates the market is Overbought (Z-Score > 2.0). Potential Short/Sell area. - Red Circle (Below Bar): Indicates the market is Oversold (Z-Score < -2.0). Potential Long/Buy area. No Repainting This indicator does not repaint. Signals are confirmed only after the candle closes. Once a circle appears, it is permanent. Protected Script Warning This is a closed-source script protected by intellectual property rights. The underlying adaptive algorithm and code structure are proprietary. Reverse engineering or unauthorized distribution is prohibited. Disclaimer: For educational purposes only.
Indicador Pine Script®
por hotelfinnwittrock
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use) Overview This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars. The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve. --- Why use logarithms? Price action is typically more meaningful in **percentage moves** than in absolute dollar moves. * A move from $100 → $200 is +100% * A move from $2000 → $2100 is only +5% By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes. So instead of modelling (P), the indicator models: --- The growth model: Power-law curve The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time: where (t) is the number of days (or bars) since the first data point. It then fits a straight-line model in log-log space: Substituting back in: Exponentiating both sides gives the curve in normal price units: This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports. --- What “expanding regression” means The model uses all data available from the beginning of the chart up to the current bar. That means: * Early in the asset’s history the curve can change more because there are fewer points. * Over time the curve becomes more stable as more history is included. Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in. --- Measuring “typical deviation” from the curve (residual volatility) Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it. At any time point: * Actual log price is (y = \ln(P)) * Predicted log price from the curve is (\hat{y} = a + b\ln(t)) The **residual** is: The indicator computes the standard deviation of these residuals: This (\sigma) is a measure of typical “distance from trend” in log terms. --- Building the bands (the key idea) The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down: Upper band (k): Lower band (k): Where: * (k) is the band number (1, 2, 3, …) * (s) is a user-chosen spacing factor (band spacing) * (\sigma) is the residual standard deviation Converting back to normal price: Upper band (k): Lower band (k): Why bands look like “translated copies” Because shifting by a constant in log space equals multiplying by a constant in price space: So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts. --- Optional curve shift (manual adjustment) A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower. Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor: * Positive shift → multiplies all bands upward * Negative shift → multiplies all bands downward --- How to interpret the zones The base curve represents a long-term “trend center” in log-growth terms. * Price near the base curve → near long-term trend * Price in upper bands → expensive relative to long-term trend * Price in lower bands → cheap relative to long-term trend Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels. --- Long-term buy zones (Lower 1 and Lower 2) **Lower 1** and **Lower 2** are intended as **long-term accumulation zones**. When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to: * deep bear markets, * high fear / capitulation phases, * long accumulation periods. A simple long-term framework many users apply: * **Accumulate gradually when price enters Lower 1** * **Accumulate more aggressively when price enters Lower 2** * Reduce risk / take profits progressively in higher upper bands These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions. --- ## Notes / limitations * This indicator is a **macro trend tool**, not an intraday trading system. * The curve is derived from historical behavior; it can shift slowly as new data arrives. * Extremely new market regimes or structural changes can reduce reliability. * Use alongside risk management and additional confirmation if trading. ---
Indicador Pine Script®
por Giovanni_Ambrosio
Dynamic Trend Ribbon [RayAlgo]The Dynamic Trend Ribbon is a trend-following tool that helps traders see market direction, trend strength, and transition points in a single visual ribbon on the price chart. Instead of reacting to every small price swing, the ribbon uses a series of moving averages to show the overall trend and its strength. This makes it easier to spot strong, weak, and neutral trends before major price moves occur. What can you see on the chart? Trend Direction & Persistence. The ribbon tracks multiple moving averages to determine whether the market is in an uptrend or a downtrend, and how likely the trend is to continue. Uptrend: Ribbon shows the designated uptrend blue color when moving averages are aligned upward. Downtrend: Ribbon shows the downtrend pink color when moving averages point downward. The trend detection is smoothed over multiple MAs, so it focuses on real market direction rather than short-term price noise. Variable Ribbon Thickness The ribbon changes thickness based on trend strength: Strong trends: Thicker ribbon, giving a clear visual cue. Weak trends: Thinner ribbon, signaling reduced momentum or trend uncertainty. This makes it easy to see at a glance how strong the current trend is. Neutral Zone (Optional) The Neutral Zone highlights periods where the ribbon’s moving averages are tightly compressed, indicating sideways or indecisive markets. This feature can be toggled on or off independently, so you can choose whether to show neutral periods or keep the ribbon focused only on active trends. Customizable Moving Average Types Users can select the type of moving average used for the ribbon: EMA (Exponential Moving Average) SMA (Simple Moving Average) WMA (Weighted Moving Average) HMA (Hull Moving Average) This lets traders adjust the ribbon to their style and timeframe. Faster-moving averages for quick reactions or smoother averages for longer-term trends.

 Settings Designed for Flexibility The Trend Alignment Ribbon includes options to: Enable or disable the Neutral Zone Choose MA type independently of other settings These controls let traders fine-tune the ribbon for different market conditions and trading approaches. How Traders Can Use It (Summary) Identify strong trends at a glance Avoid noise from minor pullbacks or reversals Spot early trend transitions and neutral markets Match trend strength to entry and exit decisions Disclaimer This indicator is an analytical and educational tool only. It does not provide financial advice or trade recommendations. All signals, levels, and visual elements are meant to assist in market analysis and must be used alongside proper risk management and independent decision-making. Trading involves risk, and past performance does not guarantee future results.
Indicador Pine Script®
por Ray_Algo
HTF Liquidity Pool + LTF Entry (SMC)HTF Liquidity Pool + LTF Entry (SMC) – TradingView Script Description Type: Indicator (SMC / Smart Money Concepts) Timeframes Supported: Any, but HTF/TF configurable Markets: Gold (XAU/USD), Forex, Crypto, Indices ⸻ Overview The HTF Liquidity Pool + LTF Entry (SMC) indicator is designed for traders who follow Smart Money Concepts (SMC). It identifies potential high-probability buy and sell entries based on: 1. High Timeframe (HTF) liquidity pools – areas where stop-hunts and liquidity accumulation often occur. 2. Low Timeframe (LTF) liquidity sweeps – short-term price movements that trigger Break of Structure (BOS) signals. The combination of HTF liquidity zones and LTF liquidity sweeps allows traders to enter trades in alignment with market structure, improving timing and risk management. ⸻ Features 1. HTF Liquidity Pools • Detects equal highs/lows on a chosen HTF (configurable, default: 60 minutes). • Plots Buy Liquidity (red line) and Sell Liquidity (green line) zones. 2. LTF Liquidity Sweeps • Detects short-term liquidity sweeps (configurable lookback). • Waits for a Break of Structure (BOS) to confirm entries. 3. Buy & Sell Signals • Buy Signal: Price sweeps lower liquidity and closes above BOS. • Sell Signal: Price sweeps higher liquidity and closes below BOS. • Signals are displayed on the chart with green/red labels. 4. SL/TP Visualization • Automatic Stop Loss (SL) and Take Profit (TP) levels plotted for each trade. • Default: SL = 5.04 points, Reward/Risk ratio = 2 (configurable). 5. Alert Ready • Alert conditions included for both Buy and Sell signals. • Can be used with TradingView alerts for real-time notifications. Setting Description HTF for Liquidity (htfTf) Timeframe to detect HTF liquidity pools (default: 60) HTF Equal High/Low Lookback Number of bars to detect equal highs/lows Equal Level Tolerance (eqTolerance) Price tolerance for HTF equal highs/lows LTF Liquidity Sweep Lookback Lookback period for LTF liquidity sweeps LTF BOS Lookback Lookback period for detecting Break of Structure SL Points (slPoints) Stop Loss in points (default: 5.04 for Gold) Reward/Risk Ratio (rewardRR) TP = SL × RR (default: 2) How to Use 1. Identify HTF Liquidity Zones: • Red lines = buy liquidity (price likely to be absorbed before going higher) • Green lines = sell liquidity (price likely to be absorbed before going lower) 2. Wait for LTF Liquidity Sweep and BOS: • Look for price to sweep liquidity and close beyond BOS to confirm a signal. 3. Trade with Visualized SL/TP: • Enter at Buy/Sell signal. • Place Stop Loss and Take Profit at plotted levels. 4. Set Alerts: • Use the included alertcondition() for Buy Signal Alert or Sell Signal Alert for real-time notifications. Notes / Disclaimer • Designed for educational and informational purposes only. • Always manage your risk carefully; the default SL/TP is for guidance. • Backtest before using in live markets. • Works best on Gold (XAU/USD), but can be applied to Forex, Crypto, or Indices. • Use multiple timeframes for best accuracy (HTF + LTF alignment). ⸻ Happy Trading! ⚡ “Follow the liquidity, respect structure, and trade smart money concepts.”
Indicador Pine Script®
por dogtrades