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广量指标

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Pine Script®指标
由wsajunaz提供
ADR from 50 SMA - Histogram & LabelMore inside the script INDICATOR PURPOSE: This indicator measures how far price has moved from the 50-period SMA in terms of Average Daily Range (ADR). It helps identify: - When stocks are overextended and may be due for pullback/consolidation - Potential entry/exit points based on momentum extremes - Position trimming opportunities when price is stretched INTERPRETATION: - Positive values = Price is ABOVE the 50 SMA - Negative values = Price is BELOW the 50 SMA - Higher absolute values = More extreme/stretched moves - Values >2 or <-2 typically indicate overextended conditions
Pine Script®指标
由Yen_Yen_提供
laurent//@version=5 indicator("Big Candle + Squeeze Dots (ATR + RSI + MACD + BB)", overlay=true, timeframe="", timeframe_gaps=true) //--------------------------- // Inputs //--------------------------- lenATR = input.int(14, "Période ATR") multATR = input.float(2.5, "Grosse bougie : range > ATR * X", step=0.1) lenBodyMA = input.int(20, "Période moyenne de corps") useBodyMA = input.bool(true, "Filtrer par corps > moyenne") // RSI / MACD lenRSI = input.int(14, "Période RSI") rsiOB = input.float(60, "RSI haussier min") rsiOS = input.float(40, "RSI baissier max") fastMACD = input.int(12, "MACD fast") slowMACD = input.int(26, "MACD slow") sigMACD = input.int(9, "MACD signal") // Squeeze Bollinger bbLen = input.int(20, "Période Bollinger") bbMult = input.float(2.0, "Ecart-type Bollinger", step=0.1) squeezeLen = input.int(20, "Période moyenne largeur BB") squeezeMult = input.float(0.7, "Seuil squeeze (largeur BB < moyenne * X)", step=0.05) // Filtres requireMomentum = input.bool(true, "Exiger RSI + MACD") requireSqueeze = input.bool(true, "Exiger un squeeze juste avant") squeezeLookback = input.int(5, "Nb de bougies max depuis squeeze", minval=1, maxval=50) //--------------------------- // Calculs de base //--------------------------- atr = ta.atr(lenATR) rangeC = high - low body = math.abs(close - open) // moyenne de corps bodyMA = ta.sma(body, lenBodyMA) // RSI rsi = ta.rsi(close, lenRSI) // MACD macdVal = ta.ema(close, fastMACD) - ta.ema(close, slowMACD) macdSig = ta.ema(macdVal, sigMACD) macdHist = macdVal - macdSig //--------------------------- // Bollinger Bands + Squeeze //--------------------------- basis = ta.sma(close, bbLen) dev = bbMult * ta.stdev(close, bbLen) upper = basis + dev lower = basis - dev bbWidth = (upper - lower) / basis bbWidthMA = ta.sma(bbWidth, squeezeLen) // squeeze = largeur BB inférieure à une fraction de sa moyenne isSqueeze = bbWidth < bbWidthMA * squeezeMult // Nombre de barres depuis le dernier squeeze barsSinceSqueeze = ta.barssince(isSqueeze) // Condition : on considère qu'on sort d'une zone de squeeze récente hadRecentSqueeze = barsSinceSqueeze >= 0 and barsSinceSqueeze <= squeezeLookback //--------------------------- // Conditions Wide Range Candle //--------------------------- // 1) Bougie large vs ATR wideByATR = rangeC > atr * multATR // 2) Bougie large vs moyenne de corps (optionnel) wideByBody = useBodyMA ? body > bodyMA : true wideCandle = wideByATR and wideByBody //--------------------------- // Direction + momentum //--------------------------- bullBody = close > open bearBody = close < open bullMomentum = (rsi > rsiOB) and (macdHist > 0) bearMomentum = (rsi < rsiOS) and (macdHist < 0) condMomentumBull = requireMomentum ? bullMomentum : true condMomentumBear = requireMomentum ? bearMomentum : true condSqueeze = requireSqueeze ? hadRecentSqueeze : true bullCond = wideCandle and bullBody and condMomentumBull and condSqueeze bearCond = wideCandle and bearBody and condMomentumBear and condSqueeze //--------------------------- // Affichage des points discrets //--------------------------- // Petit point vert sous la bougie = grosse bougie haussière plotshape(bullCond, title="Big Bull Candle (Squeeze + Mom.)", style=shape.circle, location=location.belowbar, color=color.new(color.lime, 0), size=size.tiny) // Petit point rouge au-dessus de la bougie = grosse bougie baissière plotshape(bearCond, title="Big Bear Candle (Squeeze + Mom.)", style=shape.circle, location=location.abovebar, color=color.red, size=size.tiny)
Pine Script®指标
由laupilot提供
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences: Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes. Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV). Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR) The MACD, Signal and Histogram are plotted. I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
Pine Script®指标
由papichulo2x69提供
Whale Hunter V121. Overview Whale Hunter V12 is a specialized Pine Script indicator designed for high-precision scalping (1m, 5m timeframes) on Futures and Crypto markets. Unlike standard indicators that lag, V12 focuses on Volume Spread Analysis (VSA) and Order Flow to detect institutional "Whale" activity. Its "Precision Engine" filters out low-volatility churn and fake signals by enforcing strict volatility gates (ATR) and volume thresholds. 2. The Logic: How Scoring Works (0-12 Points) Every candle is analyzed and given a "Confluence Score" from 0 to 12. A signal is only generated if the score meets your minimum threshold (Default: 8). Component Max Points Logic A. Volume Spike 4 pts Measures relative volume vs. 20-period average. • 2.0x Vol = 2 pts • 3.0x Vol = 3 pts • 5.0x Vol = 4 pts (Whale) B. Trend (VWAP) 3 pts Checks alignment with Volume Weighted Average Price. • Buy above VWAP = +3 pts • Sell below VWAP = +3 pts C. Absorption Wick 3 pts Measures the rejection wick vs. candle body. • Wick > 1.5x Body = 1 pt • Wick > 50% Range = 2 pts • Wick > 65% Range = 3 pts (Hammer/Shooting Star) D. CVD Divergence 2 pts Checks if momentum contradicts price. • Price Lows lower + Volume Flow Higher = +2 pts (Bullish Divergence) E. Penalties -3 pts The Fakeout Killer: • Buying on a Red Candle = -3 pts • Selling on a Green Candle = -3 pts 3. Settings & Configuration You can customize the strictness of the engine in the indicator settings menu. A. Signal Precision Minimum Score to Show (Default: 8) 8-12: "Sniper Mode." Shows only high-probability setups trading with the trend (VWAP aligned). 6-7: "Scout Mode." Shows counter-trend reversals and riskier scalps. < 5: Not recommended (Too much noise). Ignore Small Candles (ATR %) (Default: 0.5) The "Churn Filter". It ignores any candle smaller than 50% of the average size. Increase to 0.8 if you are getting too many signals during flat/choppy markets. B. Volume Logic Strict Volume (Default: ON) When checked, the script blocks any signal with less than 2.0x average volume, regardless of the score. This ensures you only trade when Whales are actually present. 4. How to Read the Signals 🟢 Bullish Signal (Buy) Symbol: Green Triangle below the bar. Condition: Score ≥ 8. The Whale absorbed selling pressure (Wick) on high volume, likely creating a "Bear Trap." Ideal Setup: Price is Above the Blue Line (VWAP) + Green Arrow. Stop Loss: Just below the low of the signal candle (the wick). 🔴 Bearish Signal (Sell) Symbol: Red Triangle above the bar. Condition: Score ≥ 8. The Whale absorbed buying pressure (Wick) on high volume, likely creating a "Bull Trap." Ideal Setup: Price is Below the Blue Line (VWAP) + Red Arrow. Stop Loss: Just above the high of the signal candle. 🔵 Blue Line (VWAP) This is your "Trend Anchor." Do not Short if price is significantly above the Blue Line. Do not Long if price is significantly below the Blue Line. 5. Troubleshooting / FAQ Q: Why did a signal disappear? A: The script repaints only during the live candle. Once a candle closes, the signal is permanent. If a signal vanishes before close, it means the volume or price action changed last second (e.g., the candle turned Red, triggering the -3 penalty). Q: Why are there no signals on my chart? A: You are likely in a low-volume period (Lunch hour / Late night). The Strict Volume filter is doing its job by keeping you out of dead markets. Alternatively, lower the Minimum Score to 6. Q: Can I use this on 1-minute timeframes? A: Yes, but increase the ATR Filter to 0.6 or 0.7 to filter out the micro-noise common on 1m charts.
Pine Script®指标
由zakariya_elalj提供
Linear Regression CVDHow to Read It: Rising CVD: Aggressive buyers are in control (Market Buys > Market Sells). Falling CVD: Aggressive sellers are in control (Market Sells > Market Buys). Key Trading Strategy (Divergence): The most powerful way to use CVD is to look for Divergences: Bearish Divergence (Absorption): Price makes a New High, but CVD makes a Lower High. Meaning: Price is rising, but aggressive buying power is drying up. Limit sellers are absorbing the buys. A reversal may be coming. Bullish Divergence (Absorption): Price makes a New Low, but CVD makes a Higher Low. Meaning: Price is dropping, but aggressive selling is weakening. Limit buyers are stepping in.
Pine Script®指标
由HuskyChaosBTC提供
Mean Reversion Oleg📘 Description This script is an extended and customized version of the original “Mean Reversion V‑F” created by the respected author fullmax. I adapted the logic for my own trading workflow and added several improvements aimed at stability, automation, and exchange‑safe execution when using webhooks. 🔧 Key Enhancements Lot precision control (prevents exchange errors when sending webhook orders) Base order labels for visual clarity Mini‑table with live position metrics Dynamic deviation levels (L1–L5) Static averaging levels (B2–B5) Trailing take‑profit option Support for stock mode (fixed units instead of quantity) Webhook fields for entry and exit signals 🎯 How the Strategy Works The script calculates a moving average and builds five deviation‑based levels below it. When price reaches these levels, the strategy opens a base order (B1) and then averages the position using B2–B5 levels. After entering a position, the strategy manages it using: a fixed take‑profit target or an optional trailing take‑profit plus a visual table showing position size, USD value, open PnL, and equity All quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when using webhook automation. ⚙️ Features Overview Automated long entries based on deviation levels Configurable order sizes for each averaging step Optional stock‑mode (units instead of calculated quantity) Dynamic and static level visualization Trailing TP with adjustable distance Clean UI with optional labels and mini‑table 📝 Disclaimer This script is provided for educational purposes only. It does not constitute financial advice and does not guarantee profits. Always test strategies on historical data before using them in live trading.
Pine Script®策略
由olegask68提供
EMA 55 Cross + Retest BuyStrategy Overview: The "Breakout & Retest" The 55-period EMA is widely considered a "mid-term" trend indicator. On a daily (1D) timeframe, it represents the average price of the last 11 weeks of trading. Phase 1: The Bullish Breakout The script identifies when the price closes above the EMA 55. This indicates a potential shift from a bearish/neutral trend to a bullish one. Phase 2: The Cooling Period (Window) The script starts a "lookback window" (defaulting to 7 days). It waits for the price to naturally pull back toward the moving average. Phase 3: The Successful Retest The Buy Signal is triggered when the candle's Low touches or slightly pierces the EMA, but the Close remains above it. This shows that the EMA is acting as "Dynamic Support" and buyers are defending that level.
Pine Script®指标
由ymtraders提供
200 EMA mit versetztem LabelThe 200 EMA Indicator is one of the most widely respected and frequently used technical analysis tools among traders across all markets. Whether applied to stocks, cryptocurrencies, forex, or indices, the 200-period Exponential Moving Average serves as a critical benchmark for identifying long-term trends, market direction, and key support and resistance levels. www.skool.com This indicator is designed to provide traders with a clear, visually intuitive way to understand market structure and make more informed trading decisions. By focusing on long-term price behavior rather than short-term noise, the 200 EMA helps filter out unnecessary signals and keeps traders aligned with the dominant trend. What Is the 200 EMA? The Exponential Moving Average (EMA) is a type of moving average that places greater weight on recent price data. This makes it more responsive to current market conditions compared to a Simple Moving Average (SMA), which treats all historical prices equally. The 200 EMA calculates the average price over the last 200 periods while emphasizing the most recent candles. Because of this long lookback period, the 200 EMA is primarily used as a long-term trend indicator rather than a short-term trading signal. Many professional traders and institutions consider the 200 EMA to be a dividing line between bullish and bearish market conditions. Why the 200 EMA Is So Important The 200 EMA has gained its significance not by coincidence, but through decades of consistent use across financial markets. Its importance lies in the way market participants collectively react to it. Key reasons traders rely on the 200 EMA include: It defines the overall market trend It acts as dynamic support and resistance It helps filter trades in the direction of higher probability It provides objective structure in trending and ranging markets When many traders observe the same level, it often becomes self-fulfilling. As a result, price reactions around the 200 EMA are frequently strong and meaningful. How the 200 EMA Indicator Works The indicator plots a single exponential moving average line calculated using 200 periods of price data. Because it adapts dynamically to price movements, the 200 EMA smoothly follows long-term price direction without reacting excessively to short-term volatility. Trend Identification Price above the 200 EMA indicates a bullish market environment Price below the 200 EMA suggests a bearish market environment This simple rule alone helps traders avoid counter-trend positions and focus on trades aligned with the broader market direction. Dynamic Support and Resistance One of the most valuable characteristics of the 200 EMA is its role as dynamic support and resistance. In uptrends, price often pulls back toward the 200 EMA before continuing higher In downtrends, price frequently rejects from the 200 EMA before moving lower Unlike static horizontal levels, the 200 EMA adapts to changing market conditions, making it especially useful in trending markets. Trade Filtering and Strategy Alignment The 200 EMA Indicator is commonly used as a trade filter rather than a standalone entry signal. By defining the dominant trend, it allows traders to: Look for long setups only when price is above the 200 EMA Look for short setups only when price is below the 200 EMA Avoid low-probability trades against the prevailing market direction This approach helps improve consistency and reduces emotional decision-making. Multi-Timeframe Applicability The 200 EMA works effectively on all timeframes: Higher timeframes (Daily, Weekly): Long-term market bias and macro trend Medium timeframes (4H, 1H): Swing trading and trend continuation setups Lower timeframes (15m, 5m): Intraday structure and directional filtering Traders often combine the 200 EMA from higher timeframes with entries on lower timeframes to increase confluence and confidence.
Pine Script®指标
由XbnPP12提供
Pivots + FVG + Liquidity Sweeps (Smart Entry)//@version=5 indicator("Pivots + FVG + Liquidity Sweeps (Smart Entry)", overlay=true, max_labels_count=500, max_boxes_count=500) // ===== INPUTS ===== pivotLeft = input.int(5, "Pivot left bars", minval=1) pivotRight = input.int(5, "Pivot right bars", minval=1) sweepLookback = input.int(20, "Lookback for sweep detection (bars)") sweepAtrMultiplier = input.float(1.0, "Sweep strength (ATR multiplier)") fvg_max_age = input.int(200, "FVG box expiry (bars)") show_pivots = input.bool(true, "Show pivot markers") show_sweeps = input.bool(true, "Show liquidity sweeps") show_fvgs = input.bool(true, "Show FVG boxes") require_sweep_for_entry = input.bool(false, "Require recent sweep for smart entry") confirmation_type = input.string("Bullish/Bearish Engulf", "Confirmation type", options= ) fvg_min_width = input.int(1, "Min FVG width (ticks)", minval=0) // ===== ATR ===== atrLen = input.int(14, "ATR length") atr = ta.atr(atrLen) // ===== PIVOTS ===== ph = ta.pivothigh(high, pivotLeft, pivotRight) pl = ta.pivotlow(low, pivotLeft, pivotRight) if show_pivots if not na(ph) label.new(bar_index - pivotRight, ph, "PH", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small) if not na(pl) label.new(bar_index - pivotRight, pl, "PL", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small) // ===== FVG STRUCT ===== type FVG float top float bottom int born_bar bool bullish var FVG fvgs = array.new() var box fvgBoxes = array.new() // ===== FVG DETECTION ===== if barstate.isconfirmed prevHigh = high prevLow = low if low > prevHigh and (low - prevHigh) >= syminfo.mintick * fvg_min_width array.push(fvgs, FVG.new(low, prevHigh, bar_index, true)) if high < prevLow and (prevLow - high) >= syminfo.mintick * fvg_min_width array.push(fvgs, FVG.new(prevLow, high, bar_index, false)) // cleanup old FVGs for i = array.size(fvgs) - 1 to 0 f = array.get(fvgs, i) if bar_index - f.born_bar > fvg_max_age array.remove(fvgs, i) // ===== DRAW FVG BOXES ===== if show_fvgs for i = 0 to array.size(fvgBoxes) - 1 box.delete(array.get(fvgBoxes, i)) array.clear(fvgBoxes) for i = 0 to array.size(fvgs) - 1 f = array.get(fvgs, i) col = f.bullish ? color.new(color.green, 85) : color.new(color.red, 85) bx = box.new(f.born_bar, f.top, bar_index, f.bottom, bgcolor=col, border_width=0) array.push(fvgBoxes, bx) // ===== LIQUIDITY SWEEPS ===== var int lastBullSweepBar = na var int lastBearSweepBar = na priorHigh = ta.highest(high , sweepLookback) priorLow = ta.lowest(low , sweepLookback) bullSweep = high > priorHigh + sweepAtrMultiplier * atr and close < priorHigh bearSweep = low < priorLow - sweepAtrMultiplier * atr and close > priorLow if barstate.isconfirmed if bullSweep lastBullSweepBar := bar_index if show_sweeps label.new(bar_index, high, "Bull Sweep", style=label.style_label_down, color=color.orange, textcolor=color.white, size=size.small) if bearSweep lastBearSweepBar := bar_index if show_sweeps label.new(bar_index, low, "Bear Sweep", style=label.style_label_up, color=color.orange, textcolor=color.white, size=size.small) // ===== CONFIRMATION ===== isBullEngulf() => close > open and open < close and close > open isBearEngulf() => close < open and open > close and close < open isAnyBull() => close > open isAnyBear() => close < open // ===== SMART ENTRY ===== for i = array.size(fvgs) - 1 to 0 f = array.get(fvgs, i) inFvg = close <= f.top and close >= f.bottom if inFvg okSweep = true if require_sweep_for_entry okSweep := f.bullish ? (not na(lastBullSweepBar) and bar_index - lastBullSweepBar <= sweepLookback) : (not na(lastBearSweepBar) and bar_index - lastBearSweepBar <= sweepLookback) if okSweep confirm = confirmation_type == "Bullish/Bearish Engulf" ? (f.bullish ? isBullEngulf() : isBearEngulf()) : confirmation_type == "Close Above/Below FVG" ? (f.bullish ? close > f.top : close < f.bottom) : (f.bullish ? isAnyBull() : isAnyBear()) if confirm if f.bullish label.new(bar_index, low, "Smart Long", style=label.style_label_up, color=color.lime, textcolor=color.black, size=size.normal) else label.new(bar_index, high, "Smart Short", style=label.style_label_down, color=color.fuchsia, textcolor=color.white, size=size.normal) break
Pine Script®指标
由monir2022提供
Theme TrackerTheme Tracker is a clean, at-a-glance theme rotation dashboard built to help you quickly identify where money is flowing—and where it’s leaving—across the market’s most important macro, sector, and industry themes. Instead of bouncing between dozens of charts, Theme Tracker tracks a curated basket of 40 major theme ETFs and displays their relative performance across multiple timeframes, so you can instantly spot leadership, momentum shifts, and early rotation. What it shows For each theme ETF, the table displays performance over: 1 Day 1 Week 1 Month 3 Months Year to Date (YTD) Themes are ranked automatically by the timeframe you choose, allowing you to focus on what matters most in the current market regime—short-term momentum, intermediate rotation, or longer-term trend leadership. Why it’s useful Market leaders change. Rotation happens quietly at first, then suddenly. Theme Tracker helps you: Find the strongest themes fast (the “winners” attracting capital) Spot weakening themes early (distribution and risk-off rotation) Confirm market tone by comparing offensive vs defensive leadership Generate trade ideas by focusing on the themes that are already being bid up Avoid laggards by seeing what’s consistently underperforming across timeframes When a theme is strong across multiple timeframes, that’s often where momentum traders and institutions are concentrating exposure. When it’s weak across timeframes, that’s often where capital is exiting. How to use it 1) Choose your sort timeframe Use the Sort setting (1D / 1W / 1M / 3M / YTD) to rank themes based on your trading horizon. 2) Look for alignment Strong across all columns = sustained leadership Strong short-term, weak long-term = potential bounce / rotation attempt Weak short-term, strong long-term = possible pullback in a leader Weak across the board = consistent capital outflow 3) Pair with your chartwork Use the strongest themes as a shortlist for deeper chart analysis, setups, and relative strength confirmation. Visual design The table uses clear formatting and heat-style shading to make it easy to read quickly. Green tones highlight strength; red tones highlight weakness—so you can interpret rotation in seconds without overthinking. If you trade momentum, relative strength, or market structure, Theme Tracker gives you one of the simplest edges available: knowing what’s leading right now. Track the best-performing themes, identify emerging rotation, and stay aligned with the areas of the market where capital is actually moving.
Pine Script®指标
由Amphibiantrading提供
29
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis Originality & Core Philosophy Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns. The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence). What It Does & How It Achieves It The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels. Its implementation can be broken down into several operational layers: 1. The Core Technical Cycle Layer: This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms. CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs. Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events. Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA. Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods. These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events. 2. The Market Phase & Structural Context Layer: Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime. Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule. 3. The Quantitative Dashboard Layer (Technical & On-Chain): This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar. Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility). Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative. Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles: Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice. Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles. Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice." 4. The Synthesis & Alert Layer: Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score. Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications. Underlying Calculation Logic & Rationale The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when: Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher. Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV). The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within. Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts. The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors. How to Use It: A Practical Guide This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool. Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias. Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement. Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis. Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this. Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone. In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Pine Script®指标
由neeson1987提供
Neeson Volatility Adaptive Tracker ProVolatility Adaptive Tracker Pro: A Comprehensive Multi-Method Trading System Executive Summary The Volatility Adaptive Tracker Pro (VAT Pro) represents a sophisticated fusion of proven technical analysis methodologies with innovative adaptations, creating a unique multi-signal trading system. Unlike single-purpose indicators, VAT Pro combines multiple analytical approaches into a unified framework that addresses the complex realities of modern financial markets. This system is designed for traders who recognize that no single method consistently outperforms, and that market conditions require adaptive, multi-faceted approaches. Original Innovations: What Sets VAT Pro Apart 1. Hybrid Volatility Measurement System Most volatility indicators fall into two categories: those based on standard deviation (like Bollinger Bands) or those based on average true range (ATR). VAT Pro introduces a third approach: a weighted volatility measurement system that gives greater importance to recent price movements while maintaining sensitivity to overall market conditions. This creates a dynamic volatility assessment that adapts more responsively to changing market environments than conventional methods. 2. Dual-Layer Signal Architecture While most indicators generate single-type signals, VAT Pro implements a tiered signaling system that distinguishes between: Primary trend-following signals (based on price crossing adaptive volatility bands) Secondary volume-confirmed signals (requiring both price movement and exceptional volume) This dual-layer approach recognizes that not all market moves have equal significance, and that volume confirmation often signals more substantial moves worthy of special attention. 3. State-Based Logic with Memory Conventional indicators typically generate signals independently on each bar. VAT Pro introduces persistent state tracking that maintains awareness of whether the market is currently in a bullish, bearish, or neutral condition. This prevents signal redundancy, reduces false signals, and provides valuable context for interpreting current market conditions. What VAT Pro Does: Comprehensive Market Analysis Primary Functions Trend Identification: Detects transitions between bullish and bearish market conditions using multiple confirmation criteria. Volume Analysis: Identifies exceptional trading activity that often precedes or confirms significant price movements. Volatility Assessment: Continuously measures market volatility and adjusts sensitivity parameters accordingly. Visual Context Provision: Uses color-coded price bars, trend lines, and clear signal markers to provide immediate visual feedback. Multi-Timeframe Compatibility: Functions effectively across various trading timeframes from intraday to positional trading. Implementation Methodology: The Technical Framework Core Analytical Approaches Among the hundreds of available technical analysis methods, VAT Pro specifically implements and integrates: A. Adaptive Volatility Channel System This approach modifies the traditional volatility channel concept by: Using weighted moving averages for volatility calculation rather than simple or exponential averages Implementing asymmetric response to upward versus downward volatility Maintaining dynamic channel width that adjusts based on recent market conditions The system falls within the broader category of volatility-adjusted trend following but introduces unique adaptations that improve responsiveness while maintaining stability. B. Volume-Price Confirmation Method Within volume analysis, VAT Pro specifically employs: Threshold-based volume spike detection (volume exceeding moving average by specified multiples) Price-direction confirmation (requiring price movement in the expected direction) Contextual filtering (only considering volume signals in specific market conditions) This represents a specific implementation within the volume confirmation family of methods, distinguished by its customizable thresholds and filtering logic. C. Trailing Stop with Adaptive Positioning The system implements a specific variant of trailing stop methodology characterized by: State-dependent positioning (different logic for trending versus ranging markets) Volatility-adjusted distance (stop levels adapt to current market conditions) Memory of previous positions (the system "remembers" previous trend states) This approach represents an advanced form of trailing stop placement that combines elements of volatility adjustment with trend state awareness. Calculation Philosophy: The Core Principles 1. Weighted Response Philosophy VAT Pro operates on the principle that recent market action should have greater influence than distant history, but not to the exclusion of broader context. This is implemented through custom weighting algorithms that balance responsiveness with stability. 2. Multi-Factor Confirmation Principle The system is built on the premise that multiple confirming factors (price action, volume, volatility) provide more reliable signals than single-factor approaches. This represents a practical implementation of convergence/divergence analysis across different market dimensions. 3. State Transition Logic Rather than viewing each bar in isolation, VAT Pro analyzes sequences of price action to determine market states and state transitions. This recognizes that markets often move through identifiable phases (accumulation, trending, distribution, ranging) that require different analytical approaches. 4. Adaptive Sensitivity The system automatically adjusts its sensitivity based on current market volatility, becoming more responsive in low-volatility conditions and more stable in high-volatility environments. This represents a practical implementation of volatility-adjusted trading logic. Practical Application: How to Use VAT Pro Initial Setup and Configuration Parameter Customization: Begin with default settings, then adjust based on: Your trading instrument's typical volatility characteristics Your preferred trading timeframe Your risk tolerance and trading style Visual Configuration: Customize colors and display settings to match your charting preferences while maintaining clear signal visibility. Trading Methodology Integration VAT Pro supports multiple trading approaches: For Trend Following: Use primary signals when confirmed by overall market direction Employ the adaptive line as a dynamic trailing stop Monitor state transitions for trend continuation or reversal clues For Breakout Trading: Watch for high-volume signals at key price levels Use volatility bands to identify potential breakout ranges Employ volume confirmation to distinguish genuine breakouts from false moves For Position Management: Utilize the color-coded bar system for immediate trend awareness Monitor multiple signal types for confirmation or warning signs Adjust position sizes based on signal strength and market state Signal Interpretation Framework Primary Signal Interpretation: Bullish signals suggest potential long opportunities Bearish signals indicate potential short opportunities Signal clustering often indicates stronger moves Volume Signal Significance: High-volume buy signals often precede sustained upward moves High-volume sell signals frequently indicate distribution or panic selling Volume signals without price confirmation require caution Contextual Analysis: Consider market state when interpreting signals Evaluate signal strength based on recent volatility Monitor multiple timeframes for confirmation Performance Characteristics and Best Practices Optimal Market Conditions VAT Pro performs best in markets exhibiting: Clear trending characteristics (for trend-following signals) Occasional volatility expansions (for volume signals) Reasonable liquidity (for accurate volume analysis) Risk Management Integration Use signal strength to adjust position sizing Employ the adaptive line for stop-loss placement Consider market state when determining risk levels Complementary Tools For best results, combine VAT Pro with: Support and resistance analysis Longer-term trend assessment Fundamental analysis (for longer timeframes) Market structure analysis Conclusion: A Modern Multi-Method Approach The Volatility Adaptive Tracker Pro represents a significant advancement in technical analysis tools by intelligently combining multiple proven methodologies into a coherent, adaptive system. Its original innovations in weighted volatility measurement, dual-layer signaling, and state-based logic address common limitations of conventional indicators while maintaining practical usability. By specifically implementing adaptive volatility channels, volume-price confirmation, and state-aware trailing stops, VAT Pro provides traders with a comprehensive toolkit that adapts to changing market conditions while maintaining methodological rigor. This multi-method approach recognizes the complex reality of financial markets while providing clear, actionable signals based on sound technical principles. Whether used as a primary trading system or as a confirming component within a broader strategy, VAT Pro offers sophisticated analytical capabilities in an accessible, visually intuitive format that supports informed trading decisions across various market conditions and timeframes.
Pine Script®指标
由neeson1987提供
Renko Top 2 Picker### **1s Renko Momentum Scanner (HMA Zero-Lag Edition)** This custom TradingView indicator is engineered specifically for high-frequency Renko traders. It solves the critical problem of identifying which major currency pair has the liquidity and directional inertia to sustain a fixed-brick Renko trend on a 1-second chart. Because TradingView cannot screen 1-second data directly, this script acts as a "bridge," analyzing 1-minute and 5-minute flow metrics to probability-score the likely performance of a 1-second chart. --- ### **Core Logic & Assumptions** 1. **The "Engine" (HMA 300):** * **Logic:** The script uses a Hull Moving Average (HMA) with a length of 300 to smooth the scoring output. * **Why:** On a 1-second chart, 300 bars equals 5 minutes of data. The HMA provides a "Zero-Lag" response, reacting instantly to new breakouts while ignoring the split-second noise that causes standard scanners to flicker. 2. **The "Minute Reset" Solution:** * **Problem:** Standard scripts fail on 1s charts because metrics like "Current Volume" reset to zero at the start of every new minute (e.g., at 10:05:00), causing signals to crash. * **Solution:** This script calculates momentum using a "Rolling Window" anchored to the *previous* minute's close and volume. This ensures the signal remains stable and tradable across the :59 to :00 second boundary. 3. **Renko-Specific Scoring:** * **Displacement > Direction:** The script prioritizes *how far* price is moving (Displacement %) over simple direction. Renko bricks require physical distance to form; without displacement, you pay spread costs for a flat chart. * **Liquidity Gating:** It ignores pairs with low relative volume. A 1-second Renko chart requires high institutional flow to form clean bricks without gapping. --- ### **Indicator Inputs** * **Refresh Display (Seconds):** * *Default: 5* * Controls how often the text on your screen updates. Set this to 5 or 10 seconds to prevent the text from "dancing," allowing you to read the recommendation clearly. * **Score Smoothing (HMA):** * *Default: 300* * The "Memory" of the scanner. * **300:** Represents a 5-minute lookback. Recommended for most 1s scalping to identify established trends. * **120:** Represents a 2-minute lookback. Use this only if you want to catch breakouts aggressively and accept more false signals. * **Table Position:** * *Default: Bottom Right* * Choose where the scanner panel appears on your chart to avoid covering your Renko price action. * **Major Pairs:** * *Defaults: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD* * These fields are pre-filled with the standard "FX:" prefix. **Crucial:** If your broker uses suffixes (e.g., "EURUSD.pro" or "EURUSDm"), you must update these inputs to match your broker's specific symbol format, or the scanner will return "N/A". --- ### **How to Interpret the Output** The panel displays a **Primary** and **Secondary** recommendation. * **Green Background:** The pair has a "Strong" score (> 4.0). This indicates high probability conditions for 1s Renko trend following. * **Gray Background:** The pair is the "best of the bunch," but overall market momentum is weak. Exercise caution, as the 1s chart may be choppy.
Pine Script®指标
由cechapman提供
Time-Segmented RVOLTime-Segmented RVOL The Mathematical Flaw in Standard RVOL Most Relative Volume (RVOL) indicators are built on a "Linear Scaling" hypothesis. They take the daily average and divide it by the number of bars in the day. This fails to account for the "Volume Smile"—the natural tendency for volume to be heavy at the open/close and dry up during mid-day. This leads to "False Highs" every morning and "False Lows" during lunch. The Solution: Time-Slot Memory This script uses a high-performance array to create a 20-Day Memory for every specific minute of the trading day. Contextual Comparison: It compares the current 10:30 AM bar only to the previous twenty 10:30 AM bars. Pre-Market Precision: Because it compares 4:00 AM volume to historical 4:00 AM volume, it can spot "early-bird" runners hours before the opening bell, identifying unusual interest when total volume is still low. The Coherent Momentum Tiers We have organized the color logic into four distinct, logical tiers to assist in rapid decision-making: Cold (Blue): RVOL < 1.0 . Volume is below the historical average for this specific time slot. Building (Green): RVOL 1.0 – 3.0. Active participation. The stock is "Awake" and moving with healthy, sustainable interest. High Intensity (Yellow): RVOL 3.0 – 5.0. Extreme interest. The trade is becoming "crowded"; look for increased volatility. Parabolic/Super High (Pink): RVOL > 5.0. Massive abnormality (5x+ normal volume). Common in small-cap "pumpers" and major institutional news events. Trading Strategy: Spotting the "In-Play" Runner The Awake Signal: Watch for a transition from Blue to Green. This confirms the ticker is "in-play" relative to its own 20-day history. The Breakout: Look for Yellow or Pink bars accompanied by a price breakout from a consolidation zone. High RVOL confirms the move has real conviction. Exhaustion (White X): The script includes built-in divergence tracking. If the price makes a new high but the RVOL bars are shrinking, a "White X" will appear. This suggests "Volume Exhaustion"—the fuel is running out. Settings Lookback (Days): Default is 20. This acts as a "Truth Filter" to ensure the baseline remains grounded in long-term reality rather than chasing short-term noise. Custom Thresholds: Fully adjustable levels for the Green, Yellow, and Pink tiers to suit different asset classes (Small-caps vs. Mega-caps).
Pine Script®指标
由nicojenkins提供
Session Range Boxes(MTF)📦 Indicator Name Session Range Boxes (MTF) Multi-Timeframe Directional Session Range Visualization 📘 Description Session Range Boxes (MTF) is a multi-timeframe market structure tool that visually highlights price range behavior across different time sessions using clean, directional range boxes. Each box represents the High–Low range of a completed or live session, automatically colored based on directional bias: 🟢 Bullish → Session Close > Session Open 🔴 Bearish → Session Close < Session Open ⚪ Neutral → Session Close = Session Open This allows traders to instantly identify trend strength, balance zones, volatility expansion, and key support/resistance areas across multiple timeframes — all on a single chart. 🔍 What This Indicator Shows For every enabled timeframe, the indicator: Draws a range box from session open to session close Continuously updates live session High & Low Locks the final color once the session completes Keeps historical boxes for structure and context Supported timeframes: Quarterly Half-Yearly Yearly Monthly Weekly Daily Hourly 30-Minute 15-Minute 5-Minute ⚙️ Default Behavior By default, the indicator enables: Weekly Daily Hourly This default setup is intentionally chosen to suit most traders and provides: Higher-timeframe structure (Weekly) Swing context (Daily) Intraday execution levels (Hourly) 🧠 How to Use It Effectively 📈 Higher-Timeframe Analysis (Swing / Positional Trading) Recommended combinations: Weekly + Daily Monthly + Weekly Use cases: Identify dominant market bias Spot compression vs expansion Define higher-timeframe support & resistance zones ⚡ Intraday Trading (Day Trading) Recommended combinations: Daily + Hourly Hourly + 30-Minute Use cases: Track intraday range development Identify directional day types Trade breakouts, rejections, or mean-reversion within session ranges 🚀 Scalping & Precision Entries Recommended combinations: Hourly + 15-Minute 30-Minute + 5-Minute Use cases: Fine-tune entries within larger session ranges Align lower-timeframe trades with higher-timeframe bias Spot micro range expansion and contraction 🎨 Customization Options Bullish / Bearish / Neutral colors Box fill transparency Border transparency & color Maximum historical boxes per timeframe This allows you to keep charts clean, lightweight, and performance-friendly. 💡 Best Practices Avoid enabling too many timeframes at once — clarity beats clutter Use higher-timeframe boxes for bias, lower-timeframe boxes for entries Combine with: Market structure Volume VWAP Liquidity concepts Price action confirmation Session Range Boxes (MTF) is a clean, powerful visual tool designed to help traders: Understand session-based price behavior Align trades across timeframes Improve structure awareness without clutter Whether you are a scalper, day trader, or swing trader, this indicator adapts seamlessly to your workflow.
Pine Script®指标
由jochacko11提供
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