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Wavelet Candle Constructor (Inc. Morlet) 2Here is the detailed description of the **Wavelet Candle** construction principles based on the code provided. This indicator is not a simple smoothing mechanism (like a Moving Average). It utilizes the **Discrete Wavelet Transform (DWT)**, specifically the Stationary variant (SWT / à Trous Algorithm), to separate "noise" (high frequencies) from the "trend" (low frequencies). Here is how it works step-by-step: ###1. The Wavelet Kernel (Coefficients)The heart of the algorithm lies in the coefficients (the `h` array in the `get_coeffs` function). Each wavelet type represents a different set of mathematical weights that define how price data is analyzed: * **Haar:** The simplest wavelet. It acts like a simple average of neighboring candles. It reacts quickly but produces a "boxy" or "jagged" output. * **Daubechies 4:** An asymmetric wavelet. It is better at detecting sudden trend changes and the fractal structure of the market, though it introduces a slight phase shift. * **Symlet / Coiflet:** More symmetric than Daubechies. They attempt to minimize lag (phase shift) while maintaining smoothness. * **Morlet (Gaussian):** Implemented in this code as a Gaussian approximation (bell curve). It provides the smoothest, most "organic" effect, ideal for filtering noise without jagged edges. ###2. The Convolution EngineInstead of a simple average, the code performs a mathematical operation called **convolution**: For every candle on the chart, the algorithm takes past prices, multiplies them by the Wavelet Kernel weights, and sums them up. This acts as a **digital low-pass filter**—it allows the main price movements to pass through while cutting out the noise. ###3. The "à Trous" Algorithm (Stationary Wavelet Transform)This is the key difference between this indicator and standard data compression. In a classic wavelet transform, every second data point is usually discarded (downsampling). Here, the **Stationary** approach is used: * **Level 1:** Convolution every **1** candle. * **Level 2:** Convolution every **2** candles (skipping one in between). * **Level 3:** Convolution every **4** candles. * **Level 4:** Convolution every **8** candles. Because of this, **we do not lose time resolution**. The Wavelet Candle is drawn exactly where the original candle is, but it represents the trend structure from a broader perspective. The higher the `Decomposition Level`, the deeper the denoising (looking at a wider context). ###4. Independent OHLC ProcessingThe algorithm processes each component of the candle separately: 1. Filters the **Open** series. 2. Filters the **High** series. 3. Filters the **Low** series. 4. Filters the **Close** series. This results in four smoothed curves: `w_open`, `w_high`, `w_low`, `w_close`. ###5. Geometric Reconstruction (Logic Repair)Since each price series is filtered independently, the mathematics can sometimes lead to physically impossible situations (e.g., the smoothed `Low` being higher than the smoothed `High`). The code includes a repair section: ```pinescript real_high = math.max(w_high, w_low) real_high := math.max(real_high, math.max(w_open, w_close)) // Same logic for Low (math.min) ``` This guarantees that the final Wavelet Candle always has a valid construction: wicks encapsulate the body, and the `High` is strictly the highest point. --- ###Summary of ApplicationThis construction makes the Wavelet Candle an **excellent trend-following tool**. * If the candle is **green**, it means that after filtering the noise (according to the selected wavelet), the market energy is bullish. * If it is **red**, the energy is bearish. * The wicks show volatility that exists within the bounds of the selected decomposition level. Here is a descriptive comparison of **Wavelet Candles** against other popular chart types. As requested, this is a narrative explanation focusing on the differences in mechanics, interpretation philosophy, and the specific pros and cons of each approach. --- ###1. Wavelet Candles vs. Standard (Japanese) CandlesThis is a clash between "the raw truth" and "mathematical interpretation." Standard Japanese candles display raw market data—exactly what happened on the exchange. Wavelet Candles are a synthetic image created by a signal processor. **Differences and Philosophy:** A standard candle is full of emotion and noise. Every single price tick impacts its shape. The Wavelet Candle treats this noise as interference that must be removed to reveal the true energy of the trend. Wavelets decompose the price, reject high frequencies (noise), and reconstruct the candle using only low frequencies (the trend). * **Wavelet Advantages:** The main advantage is clarity. Where a standard chart shows a series of confusing candles (e.g., a long green one, followed by a short red one, then a doji), the Wavelet Candle often draws a smooth, uniform wave in a single color. This makes it psychologically easier to hold a position and ignore temporary pullbacks. * **Wavelet Disadvantages:** The biggest drawback is the loss of price precision. The Open, Close, High, and Low values on a Wavelet candle are calculated, not real. You **cannot** place Stop Loss orders or enter trades based on these levels, as the actual market price might be in a completely different place than the smoothed candle suggests. They also introduce lag, which depends on the chosen wavelet—whereas a standard candle reacts instantly. ###2. Wavelet Candles vs. Heikin AshiThese are close cousins, but they share very different "DNA." Both methods aim to smooth the trend, but they achieve it differently. **Differences and Philosophy:** Heikin Ashi (HA) is based on a simple recursive arithmetic average. The current HA candle depends on the previous one, making it react linearly. The Wavelet Candle uses **convolution**. This means the shape of the current candle depends on a "window" (group) of past candles multiplied by weights (Gaussian curve, Daubechies, etc.). This results in a more "organic" and elastic reaction. * **Wavelet Advantages:** Wavelets are highly customizable. With Heikin Ashi, you are stuck with one algorithm. With Wavelet Candles, you can change the kernel to "Haar" for a fast (boxy) reaction or "Morlet" for an ultra-smooth, wave-like effect. Wavelets handle the separation of market cycles better than simple HA averaging, which can generate many false color flips during consolidation. * **Wavelet Disadvantages:** They are computationally much more complex and harder to understand intuitively ("Why is this candle red if the price is going up?"). In strong, vertical breakouts (pumps), Heikin Ashi often "chases" the price faster, whereas deep wavelet decomposition (High Level) may show more inertia and change color more slowly. ###3. Wavelet Candles vs. RenkoThis compares two different dimensions: Time vs. Price. **Differences and Philosophy:** Renko completely ignores time. A new brick is formed only when the price moves by a specific amount. If the market stands still for 5 hours, nothing happens on a Renko chart. The Wavelet Candle is **time-synchronous**. If the market stands still for 5 hours, the Wavelet algorithm will draw a series of flat, small candles (the "wavelet decays"). * **Wavelet Advantages:** They preserve the context of time, which is crucial for traders who consider trading sessions (London/New York) or macroeconomic data releases. On a wavelet chart, you can see when volatility drops (candles become small), whereas Renko hides periods of stagnation, which can be misleading for options traders or intraday strategies. * **Wavelet Disadvantages:** In sideways trends (chop), Wavelet Candles—despite the smoothing—will still draw a "snake" that flips colors (unless you set a very high decomposition level). Renko can remain perfectly clean and static during the same period, not drawing any new bricks, which for many traders is the ultimate filter against overtrading in a flat market. ###Summary**Wavelet Candles** are a tool for the analyst who wants to visualize the **structure of the wave and market cycle**, accepting some lag in exchange for noise reduction, but without giving up the time axis (like in Renko) or relying on simple averaging (like in Heikin Ashi). It serves best as a "roadmap" for the trend rather than a "sniper scope" for precise entries.
Pine Script®指標
由wojlucz提供
USD Liquidity Regime IndexTrack global risk regimes with this USD Liquidity Composite — It aims to be a daily macro indicator blending normalised DXY (50%), UUP (20%), 10Y Treasury yields (20%), and VIX (10%). How to read: When the blue index is above its red SMA: Strong USD, tightening liquidity → Risk-Off mode (often bearish for Nasdaq, BTC, and risk assets). When the line is below: Weak USD, abundant liquidity → Risk-On (bullish environment). Example: In 2022's bear market, the index stayed high above SMA most of the year, signalling persistent Risk-Off as USD surged. Features on-chart table, regime background colors, and crossover alerts. Great contextual tool for macro traders IMO. Educational only — not financial advice. Use at your own risk. By @frank_vergaram
Pine Script®指標
由frank_vergaram提供
Kinetic RSI [Vel + Accel] + AlertsThe Problem with Standard RSI Most traders use the Relative Strength Index (RSI) to see if a market is "Overbought" (above 70) or "Oversold" (below 30). The problem? A strong trend can stay overbought for days, burning short sellers, or an asset can stay oversold while price continues to crash. Standard RSI tells you where the price is, but it doesn't tell you how hard it is moving. ​The Solution: Kinetic RSI This script reimagines RSI by applying basic physics concepts: Velocity and Acceleration. Instead of asking "Is RSI below 30?", this indicator asks: "Is RSI below 35 AND did it just make a violent, high-speed turn upwards?" ​It filters out lazy, drifting price action and only signals when momentum is accelerating in a new direction. ​How It Works (The Math) ​Velocity: We calculate the speed of the RSI change (Current RSI - Previous RSI). ​Acceleration: We calculate if that speed is increasing (Current Velocity - Previous Velocity). ​The Trigger: A signal is only generated if the RSI is in an extreme zone (<35 or >65) AND it has high Velocity AND positive Acceleration. ​How to Trade It ​1. The "Kick" Signals (Background Highlights) ​🟢 Green Background (Bullish Kick): The RSI was low, but buyers stepped in aggressively. The momentum is not just positive; it is accelerating upward. This is often a "V-Bottom" catch. ​🔴 Red Background (Bearish Kick): The RSI was high, but sellers slammed the price down. Momentum is accelerating downward. ​2. The Line Color ​Lime Line: Velocity is positive (Momentum is rising). ​Fuchsia Line: Velocity is negative (Momentum is falling). ​Usage: If the background flashes Green (Buy Signal), but the line turns back to Fuchsia (Red) a few bars later, the move has failed—exit the trade. ​Settings & Alerts ​RSI Length: Standard 14 (Adjustable). ​Velocity Threshold: Controls sensitivity. ​Lower (e.g., 2-3): More signals, catches smaller reversals. ​Higher (e.g., 5+): Fewer signals, catches only massive "shocks" to the price. ​Alerts Included: You can set alerts for "Bullish Kick," "Bearish Kick," or "Any Kick" to get notified of volatility spikes. ​Best Practices ​Wait for the Close: This indicator measures the closing velocity. Always wait for the bar to close to confirm the background color signal. ​Trend Filtering: This works best as a "Reversal" indicator. If the market is in a super-strong uptrend, ignore the Bearish (Red) signals and only take the Bullish (Green) dips.
Pine Script®指標
由MonkeyPhone提供
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified) This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission. The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes. Key Features Smoothed SMI line with dynamic color changes based on momentum direction Raw SMI line for additional reference Zero-line split cloud shading for quick bullish/bearish momentum identification Upper and lower SMI reference levels for overbought/oversold context Exact-bar SMI color-flip triangle markers for immediate visual confirmation Adjustable triangle size and offset so markers do not overlap the SMI line Fully customizable colors for: Zero line Smoothed SMI (up/down) Raw SMI Cloud above and below zero Upper and lower SMI levels How to Use This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias. 1. SMI Line & Color Changes The smoothed SMI line changes color based on momentum direction: Up color → momentum strengthening Down color → momentum weakening A color change often signals a potential momentum shift. 2. SMI Color-Flip Triangles Green ▲ triangle below the SMI Appears when the smoothed SMI turns upward (bearish → bullish momentum). Red ▼ triangle above the SMI Appears when the smoothed SMI turns downward (bullish → bearish momentum). Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line. These markers are intended as visual confirmations, not standalone trade signals. 3. Zero Line & Cloud The zero line separates bullish and bearish momentum regimes. Cloud above zero → bullish momentum bias Cloud below zero → bearish momentum bias Stronger signals often occur when SMI flips in the direction of the cloud. 4. Upper & Lower SMI Levels Upper and lower reference levels help identify extended momentum. Momentum flips near or beyond these levels may indicate: Exhaustion Potential pullbacks Trend continuation setups when aligned with higher-timeframe direction 5. Best Practices Use this indicator as a confirmation tool, not a prediction tool. Combine with: Market structure Support and resistance Trend direction Volume or price action Works well on tick charts, intraday timeframes, and higher-timeframe analysis. Additional Notes Triangles do not repaint All visual elements are user-configurable No ADX or Awesome Oscillator components Designed for clarity, speed, and ease of interpretation This script is intended for analytical and educational purposes only and does not constitute trading advice.
Pine Script®指標
由NPR21提供
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6 ## Overview A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules. ## Strategy Logic The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations. ### Candlestick Pattern Classification Each candlestick is classified as one of three types: | Pattern | Definition | Formula | |---------|-----------|---------| | **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` | | **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` | | **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` | ### Trading Rules | Condition | Action | Signal | |-----------|--------|--------| | Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade | | "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal | | "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal | ## Configuration Parameters All parameters are adjustable in TradingView's "Settings/Inputs" tab: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze | | **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification | | **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal | | **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) | | **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) | ### Parameter Tuning Guide #### Proximity Thresholds (Close at High/Low) - **0.95 or higher**: Stricter - only very strong candles qualify - **0.90 (default)**: Balanced - good for most market conditions - **0.80 or lower**: Looser - catches more patterns, higher false signals #### Doji Threshold - **0.05-0.10**: Strict doji identification - **0.10-0.15**: Standard doji detection - **0.15+**: Includes near-doji patterns #### Lookback Period - **3-5 bars**: Fast, sensitive to recent patterns - **5-10 bars**: Balanced approach - **10-20 bars**: Slower, filters out noise ## Visual Indicators ### Chart Markers - **Green Up Arrow** ▲: Long entry signal triggered - **Red Down Arrow** ▼: Short entry signal triggered - **Gray X**: Skip signal (too many dojis detected) ### Statistics Table Located at top-right corner, displays real-time pattern counts: - **Close at High**: Count of candles closing near the high - **Close at Low**: Count of candles closing near the low - **Doji**: Count of doji/near-doji patterns ### Signal Labels - Green label: "✓ Long condition met" - below entry bar - Red label: "✓ Short condition met" - above entry bar - Gray label: "⊠ Too many dojis, skip" - trade skipped ## Risk Management ### Exit Strategy The strategy includes built-in exit rules based on ATR (Average True Range): - **Stop Loss**: ATR × 2 - **Take Profit**: ATR × 3 Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30 ### Position Sizing Default: 100% of equity per trade (adjustable in strategy properties) **Recommendation**: Reduce to 10-25% of equity for safer capital allocation ## How to Use ### 1. Copy the Script 1. Open TradingView 2. Go to Pine Script Editor 3. Create a new indicator 4. Copy the entire `candle_pattern_strategy.pine` content 5. Click "Add to Chart" ### 2. Apply to Chart - Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d) - Choose a trading symbol (stocks, forex, crypto, etc.) - The strategy will generate signals on all historical bars and in real-time ### 3. Configure Parameters 1. Right-click the strategy on chart → "Settings" 2. Adjust parameters in the "Inputs" tab 3. Strategy will recalculate automatically 4. Backtest results appear in the Strategy Tester panel ### 4. Backtesting 1. Click "Strategy Tester" (bottom panel) 2. Set date range for historical testing 3. Review performance metrics: - Win rate - Profit factor - Drawdown - Total returns ## Key Features ✅ **Execution Model Compliant** - Follows official Pine Script V6 standards ✅ **Global Scope** - All historical references in global scope for consistency ✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds ✅ **Real-time Updates** - Works on both historical and real-time bars ✅ **Visual Feedback** - Clear signals with labels and statistics table ✅ **Risk Management** - Built-in ATR-based stop loss and take profit ✅ **No Repainting** - Signals remain consistent after bar closes ## Important Notes ### Before Trading Live 1. **Backtest thoroughly**: Test on at least 6-12 months of historical data 2. **Paper trading first**: Practice with simulated trades 3. **Optimize parameters**: Find the best settings for your trading instrument 4. **Manage risk**: Never risk more than 1-2% per trade 5. **Monitor performance**: Review trades regularly and adjust as needed ### Market Conditions The strategy works best in: - Trending markets with clear directional bias - Range-bound markets with defined support/resistance - Markets with moderate volatility The strategy may underperform in: - Highly choppy/noisy markets (many false signals) - Markets with gaps or overnight gaps - Low liquidity periods ### Limitations - Works on chart timeframes only (not intrabar analysis) - Requires at least 5 bars of history (configurable) - Fixed exit rules may not suit all trading styles - No trend filtering (will trade both directions) ## Technical Details ### Historical Buffer Management The strategy declares maximum bars back to ensure enough historical data: ```pine max_bars_back(close, 20) max_bars_back(open, 20) max_bars_back(high, 20) max_bars_back(low, 20) ``` This prevents runtime errors when accessing historical candlestick data. ### Pattern Detection Algorithm ``` For each bar in lookback period: 1. Calculate (high - close) / (high - low) → close_to_high_ratio 2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High" 3. Calculate (close - low) / (high - low) → close_to_low_ratio 4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low" 5. Calculate abs(close - open) / (high - low) → body_ratio 6. If body_ratio ≤ doji_threshold → count as "Doji" Signal Generation: 7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL 8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL 9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL ``` ## Example Scenarios ### Scenario 1: Bullish Signal ``` Last 5 bars pattern: Bar 1: Closes at high (95%) ✓ Bar 2: Closes at high (92%) ✓ Bar 3: Closes at mid (50%) Bar 4: Closes at low (10%) Bar 5: Closes at high (96%) ✓ (last bar) Result: - Close at high count: 3 (≥ 2) ✓ - Last closes at high: ✓ - Doji count: 0 (< 3) ✓ → LONG SIGNAL ✓ ``` ### Scenario 2: Skip Signal ``` Last 5 bars pattern: Bar 1: Doji pattern ✓ Bar 2: Doji pattern ✓ Bar 3: Closes at mid Bar 4: Doji pattern ✓ Bar 5: Closes at high Result: - Doji count: 3 (≥ 3) → SKIP SIGNAL - Market too chaotic ``` ## Performance Optimization ### Tips for Better Results 1. **Use Higher Timeframes**: 15m or higher reduces false signals 2. **Combine with Indicators**: Add volume or trend filters 3. **Seasonal Adjustment**: Different parameters for different seasons 4. **Instrument Selection**: Test on liquid, high-volume instruments 5. **Regular Rebalancing**: Adjust parameters quarterly based on performance ## Troubleshooting ### No Signals Generated - Check if lookback period is too large - Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95) - Ensure doji limit allows for trading (try 4-5 instead of 3) ### Too Many False Signals - Increase proximity thresholds to 0.95+ - Reduce lookback period to 3-4 bars - Increase doji limit to 3-4 - Test on higher timeframes ### Strategy Tester Shows Losses - Review individual trades to identify patterns - Adjust stop loss and take profit ratios - Change lookback period and thresholds - Test on different market conditions ## References - (www.tradingview.com) - (www.tradingview.com) - (www.investopedia.com) - (www.investopedia.com) ## Disclaimer **This strategy is provided for educational and research purposes only.** - Not financial advice - Past performance does not guarantee future results - Always conduct thorough backtesting before live trading - Trading involves significant risk of loss - Use proper risk management and position sizing ## License Created: December 15, 2025 Version: 1.0 --- **For updates and modifications, refer to the accompanying documentation files.**
Pine Script®策略
由masterau2016提供
ARVEXV1“Failed Reversal – Opposite Candle Only (No Doji/Hammer/Hanging Man)”: This strategy captures failed reversal attempts where the current candle is opposite to the previous candle and volume is higher. It enters long if a bearish candle fails to break a previous bullish candle’s low, and short if a bullish candle fails to break a previous bearish candle’s high. Signals are canceled for Doji, Hammer, or Hanging Man candles. Entries only, fully backtestable.
Pine Script®策略
由riccabunalda提供
USDT Market Cap Change [Alpha Extract]A sophisticated stablecoin market analysis tool that tracks USDT market capitalization changes across daily and 60-day periods with statistical normalization and gradient intensity visualization. Utilizing z-score methodology for overbought/oversold detection and dynamic color gradients reflecting change magnitude, this indicator delivers institutional-grade market liquidity assessment through stablecoin flow analysis. The system's dual-timeframe approach combined with statistical normalization provides comprehensive market sentiment measurement based on capital inflows and outflows from the dominant stablecoin. 🔶 Advanced Market Cap Tracking Framework Implements daily USDT market capitalization monitoring with dual-period change calculations measuring both 1-day and 60-day net capital flows. The system retrieves real-time CRYPTOCAP:USDT data on daily timeframe resolution, calculating absolute dollar changes to quantify stablecoin supply expansion or contraction as primary market liquidity indicator. // Core Market Cap Analysis USDT = request.security("CRYPTOCAP:USDT", "D", close) USDT_60D_Change = USDT - USDT USDT_1D_Change = USDT - USDT 🔶 Dynamic Gradient Intensity System Features sophisticated color gradient engine that intensifies visual representation based on change magnitude relative to recent extremes. The system normalizes current 60-day change against configurable lookback period maximum, applying gradient strength calculation to transition colors from neutral tones through progressively intense blues (negative) or reds (positive) based on flow direction and magnitude. 🔶 Statistical Z-Score Normalization Engine Implements comprehensive z-score calculation framework that normalizes 60-day market cap changes using rolling mean and standard deviation for objective overbought/oversold determination. The system applies statistical normalization over configurable periods, enabling cross-temporal comparison and threshold-based regime identification independent of absolute market cap levels. // Z-Score Normalization Change_Mean = ta.sma(USDT_60D_Change, Normalization_Length) Change_StdDev = ta.stdev(USDT_60D_Change, Normalization_Length) Z_Score = Change_StdDev > 0 ? (USDT_60D_Change - Change_Mean) / Change_StdDev : 0.0 🔶 Multi-Tier Threshold Detection System Provides four-level regime classification including standard overbought (+1.5σ), standard oversold (-1.5σ), extreme overbought (+2.5σ), and extreme oversold (-2.5σ) thresholds with configurable adjustment. The system identifies market liquidity extremes when stablecoin inflows or outflows reach statistically significant levels, indicating potential market turning points or trend exhaustion. 🔶 Dual-Timeframe Flow Visualization Features layered area plots displaying both 60-day strategic flows and 1-day tactical movements with distinct color coding for instant flow direction assessment. The system overlays short-term daily changes on longer-term 60-day trends, enabling traders to identify divergences between tactical and strategic capital flows into or out of stablecoin reserves. 🔶 Gradient Color Psychology Framework Implements intuitive color scheme where red gradients indicate capital inflow (bullish for crypto as USDT supply expands for buying) and blue gradients show capital outflow (bearish as USDT is redeemed). The intensity progression from pale to vivid colors communicates flow magnitude, with extreme colors signaling statistically significant liquidity events requiring attention. 🔶 Background Zone Highlighting System Provides subtle background coloring when z-score breaches overbought or oversold thresholds, creating visual alerts without obscuring primary data. The system applies translucent red backgrounds during overbought conditions and blue during oversold states, enabling instant regime recognition across chart timeframes. 🔶 Configurable Normalization Architecture Features adjustable gradient lookback and statistical normalization periods enabling optimization across different market cycles and trading timeframes. The system allows traders to calibrate sensitivity by modifying the window used for maximum change detection (gradient) and mean/standard deviation calculation (z-score), adapting to volatile or stable market regimes. 🔶 Market Liquidity Interpretation Framework Tracks USDT supply changes as proxy for overall cryptocurrency market liquidity conditions, where expanding market cap indicates fresh capital entering crypto markets and contracting cap suggests capital flight. The system provides leading indicator properties as large stablecoin inflows often precede major market rallies while outflows may signal distribution phases. 🔶 Why Choose USDT Market Cap Change ? This indicator delivers sophisticated stablecoin flow analysis through statistical normalization and gradient visualization of USDT market capitalization changes. Unlike traditional market sentiment indicators that rely on price action alone, this tool measures actual capital flows through the dominant stablecoin, providing objective assessment of market liquidity conditions. The combination of dual-timeframe tracking, z-score normalization for overbought/oversold detection, and intensity-based gradient coloring makes it essential for traders seeking macro-level market assessment and regime change detection across cryptocurrency markets. The indicator excels at identifying liquidity extremes that often precede major market reversals or trend accelerations.
Pine Script®指標
由AlphaExtract提供
Anchored Cumulative AverageAnchored Cumulative Price Average Overview The Anchored Cumulative Price Average plots the arithmetic mean of price values calculated from a user-defined start date and time. Instead of using a fixed lookback length, the average continuously incorporates every completed candle since the anchor point, producing a stable reference level that evolves as new data becomes available. The indicator supports custom source selection, optional higher-timeframe calculation, and an optional High / Low average mode, making it suitable for contextual market analysis across multiple time horizons. How It Works • A start date and time define the anchor point. • From that moment forward, the script accumulates price values and divides them by the total number of candles included. • The result is a cumulative (since-anchor) average, not a rolling moving average. • When a higher timeframe is selected, calculations are performed only when a new HTF candle completes, ensuring consistent aggregation. This approach creates an average that reflects the market’s mean price relative to a specific event, session, or structural point. Inputs • Calculation Timeframe Choose the timeframe used for the calculation. Leaving this empty uses the chart timeframe. • Start Date / Time Defines the anchor point from which the average begins. Source Select the price input used for the average: • Close, Open, High, Low • HL2, HLC3, OHLC4 • High & Low (plots separate averages for highs and lows) How to Use • Anchor the indicator to a session open, swing point, news event, or structural shift. • Observe how price interacts with the cumulative average as more data is added. • Use the High & Low mode to visualize mean price boundaries instead of a single central line. • Apply a higher timeframe to view broader contextual averages while remaining on a lower-timeframe chart. Common Use Cases • Contextual reference for mean price since a specific date or event • Market structure and balance analysis • Session-based or event-anchored price evaluation • Multi-timeframe alignment and bias assessment • Visual support tool alongside discretionary analysis Notes • This indicator does not predict price or generate trade signals. • It is designed as a contextual analysis tool and should be used in conjunction with other forms of market analysis. • The plotted values will change as new candles form after the anchor point.
Pine Script®指標
由The_Forex_Steward提供
NQ Key Levels [EOY 2025]Key Price Levels to Watch | Level | Type | Significance | |---|---|---| | 26,000 | Psychological Target | The "round number" magnet for the End of Year (EOY) close. | | 25,835 | Major Resistance | The recent high from Dec 10. A break above this signals the Santa Rally is live. | | 25,196 | Current Price | Friday's close. We are in "no man's land" here. | | 25,000 | Critical Support | A psychological floor. If NQ breaks below this next week, the bullish thesis weakens. | | 24,800 | Trend Defense | The "line in the sand." Bulls must defend this level to keep the uptrend intact. | Projected Path for NQ (Dec 15 – Dec 31, 2025) Dec 15–17 (Mon-Wed): Market tests support at 25,000. If it holds, buyers will step in. Dec 18–19 (Thu-Fri): Erratic price action due to Triple Witching expiry. Avoid heavy leverage here. Dec 22–31: Volume drops, but directional bias turns UP. The path of least resistance will be higher as sellers leave for the holidays.
Pine Script®指標
由panchamsh95353提供
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras) Overview & Philosophy The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?" Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT). This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025. Methodology The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days). The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point. Dynamic Eras: The basket of coins changes depending on the date: 2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL. 2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO. 2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM. 2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum). 2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE). Chart Analysis & Strategy ( The "Alpha" ) As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH). The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets. The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions. How to Read the Visuals 🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On." 🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins. Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active. Settings Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier. Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25). Credits & Attribution This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView: Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason.. TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) . Comparison: Why use ALSI | RM? While inspired by the above, ALSI introduces three key improvements: Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal. Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal. Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle. You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator. Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets. Disclaimer This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events. Tags bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Pine Script®指標
由Rob_Maths提供
premium//@version=5 indicator("Custom Binance Premium Index + Alerts", overlay=false) // === 1. 数据源（可修改） === // 永续合约价格（默认 BTCUSDT 永续） futures = request.security("BINANCE:BTCUSDT_PERP", timeframe.period, close) // 现货价格（默认 BTCUSDT 现货） spot = request.security("BINANCE:BTCUSDT", timeframe.period, close) // === 2. 计算自定义溢价指数 === premium = ((futures / spot) - 1) * 100 // === 3. 用户设定阈值（你给的值） === upper = 1.5 // 溢价 ≥ 1.5 触发告警 lower = -2.0 // 溢价 ≤ -2.0 触发告警 // === 4. 绘图 === plot(premium, title="Premium Index (%)", color=color.new(color.blue, 0)) hline(upper, "Upper Threshold (1.5%)", color=color.new(color.red, 0)) hline(lower, "Lower Threshold (-2.0%)", color=color.new(color.green, 0)) // === 5. 告警条件 === alertcondition(premium >= upper, title="溢价 ≥ 1.5%", message="Premium Index ≥ 1.5%（永续合约偏高，多头较强）" ) alertcondition(premium <= lower, title="溢价 ≤ -2.0%", message="Premium Index ≤ -2.0%（永续合约偏低，空头压力大）" ) // === 6. 信息显示 === label.new(bar_index, premium, "Premium: " + str.tostring(premium, "#.##") + "%", style=label.style_label_left, color=color.new(color.blue, 85))
Pine Script®指標
由hh7h68y5jx提供
Dynamic Pivot Point [MarkitTick]Title: Dynamic Pivot Point MarkitTick Concept Unlike traditional Pivot Points, which plot static horizontal levels based on the previous period's High, Low, and Close, this script introduces a dynamic element by applying an Exponential Moving Average (EMA) to the calculated pivot levels. This approach allows the Support and Resistance zones to adapt more fluidly to recent price action, reducing the jagged steps often seen in standard multi-timeframe pivot indicators. How It Works The script operates in two distinct phases of calculation: 1. Data Extraction and Core Math: The indicator first requests the High, Low, and Close data from a user-defined timeframe (e.g., Daily, Weekly). Using this data, it calculates the standard Pivot Point (P) alongside three levels of Support (S1, S2, S3) and three levels of Resistance (R1, R2, R3) using standard geometric formulas: Pivot = (High + Low + Close) / 3 R1 = 2 * Pivot - Low S1 = 2 * Pivot - High (Subsequent levels follow standard Floor Pivot logic). 2. Dynamic Smoothing: Instead of plotting these raw values directly, the script processes each calculated level (P, S1-S3, R1-R3) through an Exponential Moving Average (EMA). The length of this EMA is controlled by the Pivot Length input. This smoothing process filters out minor volatility and creates curved, dynamic trajectories for the pivot levels rather than static straight lines. How to Use Traders can use this tool to identify dynamic areas of interest where price may react. The White Line represents the Central Pivot. Price action relative to this line helps determine the immediate bias (above for bullish, below for bearish). Green Lines (Support 1, 2, 3) indicate potential demand zones where price may bounce during a downtrend. Red Lines (Resistance 1, 2, 3) indicate potential supply zones where price may reject during an uptrend. Because the levels are smoothed, they can also act as dynamic trend followers, similar to moving averages, but derived from pivot geometry. Settings Show Pivot Points: Toggles the visibility of the plot lines on the chart. Pivot Length: Defines the lookback period for the EMA smoothing applied to the pivot levels. A higher number results in smoother, slower-reacting lines. Timeframe: Determines the timeframe used for the underlying High/Low/Close data (e.g., selecting "D" calculates pivots based on Daily data while viewing a lower timeframe chart). Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Pine Script®指標
由MarkitTick提供
Displacement## Displacement Indicator (Institutional Momentum Filter) This indicator highlights **true price displacement** — candles where price moves with **abnormal force relative to recent volatility**. It is designed to help traders distinguish **real momentum** from normal market noise. Displacement often precedes: - Breaks of structure - Fair Value Gaps (FVGs) - Strong continuation or meaningful pullbacks This tool focuses on **confirmation**, not prediction. --- ### 🔍 How Displacement Is Defined A candle is marked as *displacement* only when **all conditions are met**: • Candle body is larger than a multiple of ATR (volatility-adjusted) • Candle body makes up a high percentage of the full candle (strong close) • Directional conviction (bullish or bearish close) This filters out: - Small or average candles - Wick-heavy indecision - Low-quality breakouts --- ### 🎯 What This Indicator Is Best Used For ✔ Confirming impulsive moves ✔ Validating structure breaks ✔ Anchoring Fair Value Gaps ✔ Filtering low-probability setups ✔ Identifying institutional participation Works best on **M5, M15, and H1**, especially during **London and NY sessions**. --- ### ⚠️ Important Notes • This is **not** a buy/sell signal by itself • Best used with trend, structure, or liquidity context • Not designed for ranging or low-volatility markets Think of this indicator as a **momentum truth filter** — if displacement is missing, conviction is likely missing too. --- ### ⚙️ Inputs Explained • ATR Length – defines normal volatility • ATR Multiplier – how aggressive displacement must be • Minimum Body % – ensures strong candle closes All inputs are adjustable to fit different markets and styles. --- ### 🧠 Philosophy Displacement reflects **commitment**, not anticipation. This tool helps you wait for **proof**, not hope. --- If you want, I can: - Tighten this for **ICT-style language** - Rewrite for **beginner clarity** - Add a **“How I personally use it”** section - Optimize it for **TradingView algorithm visibility** **Tell me which you want changed.**
Pine Script®指標
由wilsonne14提供
Danny Gee EMA Trend RibbonDanny Gee EMA Trend Ribbon - Multi-Timeframe Trend Analysis A sophisticated 9-EMA ribbon system designed to visualize trend strength and direction with precision. This indicator creates a dynamic color-coded ribbon that adapts to market conditions, making trend identification effortless. Key Features: 9 Customizable EMAs - Default periods: 8, 14, 20, 26, 32, 38, 44, 50, and 60 Intelligent Ribbon Coloring - Automatically displays bullish (green), bearish (red), or neutral (gray) based on EMA consensus Smoothing Control - Adjustable smoothing period (default 2) reduces noise and false signals Real-Time Trend Status - Live dashboard showing current trend state and EMA agreement count (e.g., "Bullish 8/9") Visual Clarity - Color-coded EMA lines with the 60 EMA highlighted for key support/resistance How It Works: The indicator analyzes the slope direction of all 9 EMAs. When 7 or more EMAs agree on direction, the ribbon displays a clear bullish or bearish color. This consensus-based approach helps filter out weak or conflicting trends, keeping you focused on high-probability setups. Best Used For: ✓ Identifying strong trending conditions ✓ Avoiding choppy, sideways markets ✓ Confirming trade direction with other indicators ✓ Multi-timeframe analysis (works on any chart timeframe) Customization Options: Adjust all EMA periods to match your trading style Customize ribbon colors for personal preference Toggle ribbon visibility on/off Modify smoothing sensitivity Perfect for swing traders, scalpers, and day traders looking for a clean, reliable trend filter that works across all markets - forex, crypto, stocks, and indices.
Pine Script®指標
由DJG9911提供
Optimized 1st Touch 10SMA After RunThis indicator is designed to identify strong stocks that have recently made a meaningful rally and are now experiencing their first controlled pullback to the 10-day simple moving average (10SMA). It scans for stocks that have moved at least 10% over the past 10 trading days, maintained upward momentum by riding above the 10SMA during the advance, and are trading within a broader uptrend. The signal triggers only when price makes its first touch of the 10SMA since the rally and closes back above it, indicating potential support and trend continuation rather than weakness. Additional filters such as volume contraction and higher-timeframe trend alignment help isolate high-quality setups where strong stocks are digesting gains before a potential next leg higher.
Pine Script®指標
由Bootchmagoo提供
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure. What this script does This script tracks volume distribution inside a selected session and highlights two key price levels: High Volume Nodes (HVNs) — areas where price spent time building heavy participation. Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest. Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually. Why these levels matter HVN → price tends to react, stall, or flip direction LVN → price often rejects strongly since liquidity is thin Rejection patterns around these areas give clean entry signals Positioning trades around HVN/LVN helps filter noise in choppy sessions This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose. How the detection works Inside your session window, the script: 1. Tracks each tick-based price bucket 2. Accumulates raw volume for every bucket Identifies: HVNs = buckets with volume above a tier LVNs = buckets with volume below a tier 3. Prints each level as a single clean line 4. Generates: Long signal → bounce from LVN Short signal → rejection from HVN Built-in exits use ATR-based conditions for quick testing. Features Session-based volume mapping HVN + LVN levels drawn automatically Entry triggers based on rejection ATR exits for experimental backtests Clean, minimal visual output Best use cases Intraday futures Index scalping FX sessions (London / NY) Crypto sessions (user-timed) Anyone who trades around volume structure Adjustable settings Session window Volume bin size HVN multiplier LVN multiplier Enable/disable zone lines This keeps it flexible enough for both scalpers and slow-paced intraday setups. Important note This script is built for study + idea testing. It is not intended as a final system. Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
Pine Script®策略
由AIScripts提供
SMI Trigger System The SMI Trigger System is a lower-pane momentum indicator based on a Hull-smoothed Stochastic Momentum Index (SMI). It is designed to assist in identifying potential momentum shifts by highlighting signal alignment and level interactions. This indicator is intended to be used as part of a broader analysis framework. Confluence between trend, structure, and higher-timeframe context defines the setup, while SMI signal behavior may be used for confirmation. The script can be applied across multiple timeframes and markets. It does not generate trade signals on its own and should be used alongside additional analysis and risk management techniques. For educational purposes only. Not financial advice.
Pine Script®指標
由NPR21提供