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Индикаторы и стратегии

MM Wash Detector (Discreet)MM Wash Detector identifies weekly liquidity sweeps created by market makers. It highlights two conditions: Bull Wash – price wicks above the weekly range to grab liquidity, then reverses Bear Wash – price wicks below the weekly range to grab liquidity, then reverses This tool is designed for traders who want to spot engineered stop-hunts, liquidity grabs, and manipulation pockets where reversals often begin. Labels are intentionally discreet for minimal chart clutter. ✅ 2. Short & Simple Shows when market makers sweep liquidity above or below the weekly range. Bull Wash = liquidity grab above Bear Wash = liquidity grab below Discreet labels. No clutter. ✅ 3. Aggressive / Smart-Money Style Tracks weekly stop-hunts engineered by smart money. A “Wash” prints when price creates an exaggerated wick outside the weekly range with a small body and volume confirmation. These zones often mark liquidity collection before a reversal or displacement move. ✅ 4. Beginner-Friendly This indicator helps you see when the price makes a long wick above or below the weekly candle — a sign that big players might be triggering stops and collecting liquidity. These liquidity grabs are often followed by a reversal. Bull Wash = sweep above Bear Wash = sweep below
Индикатор Pine Script®
от basantd
Per Bak Self-Organized CriticalityTL;DR: This indicator measures market fragility. It measures the system's vulnerability to cascade failures and phase transitions. I've added four independent stress vectors: tail risk, volatility regime, credit stress, and positioning extremes. This allows us to quantify how susceptible markets are to disproportionate moves from small shocks, similar to how a steep sandpile is primed for avalanches. Avalanches, forest fires, earthquakes, pandemic outbreaks, and market crashes. What do they all have in common? They are not random. These events follow power laws - stable systems that naturally evolve toward critical states where small triggers can unleash catastrophic cascades. For example, if you are building a sandpile, there will be a point with a little bit additional sand will cause a landslide. Markets build fragility grain by grain, like a sandpile approaching avalanche. The Per Bak Self-Organized Criticality (SOC) indicator detects when the markets are a few grains away from collapse. This indicator is highly inspired by the work of Per Bak related to the science of self-organized criticality . As Bak said: "The earthquake does not 'know how large it will become'. Thus, any precursor state of a large event is essentially identical to a precursor state of a small event." For markets, this means: We cannot predict individual crash size from initial conditions We can predict statistical distribution of crashes We can identify periods of increased systemic risk (proximity to critical state) BTW, this is a forwarding looking indicator and doesn't reprint. :) The Story of Per Bak In 1987, Danish physicist Per Bak and his colleagues discovered an important pattern in nature: self-organized criticality. Their sandpile experiment revealed something: drop grains of sand one by one onto a pile, and the system naturally evolves toward a critical state. Most grains cause nothing. Some trigger small slides. But occasionally a single grain triggers a massive avalanche. The key insight is that we cannot predict which grain will trigger the avalanche, but you can measure when the pile has reached a critical state. Why Markets Are the Ultimate SOC System? Financial markets exhibit all the hallmarks of self-organized criticality: Interconnected agents (traders, institutions, algorithms) with feedback loops Non-linear interactions where small events can cascade through the system Power-law distributions of returns (fat tails, not normal distributions) Natural evolution toward fragility as leverage builds, correlations tighten, and positioning crowds Phase transitions where calm markets suddenly shift to crisis regimes Mathematical Foundation Power Law Distributions Traditional finance assumes returns follow a normal distribution. "Markets return 10% on average." But I disagree. Markets follow power laws: P(x) ∝ x^(-α) Where P(x) is the probability of an event of size x, and α is the power law exponent (typically 3-4 for financial markets). What this means: Small moves happen constantly. Medium moves are less frequent. Catastrophic moves are rare but follow predictable probability distributions. The "fat tails" are features of critical systems. Critical Slowing Down As systems approach phase transitions, they exhibit critical slowing down—reduced ability to absorb shocks. Mathematically, this appears as: τ ∝ |T - T_c|^(-ν) Where τ is the relaxation time, T is the current state, T_c is the critical threshold, and ν is the critical exponent. Translation: Near criticality, markets take longer to recover from perturbations. Fragility compounds. Component Aggregation & Non-Linear Emergence The Per Bak SOC our index aggregates four normalized components (each scaled 0-100) with tunable weights: SOC = w₁·C_tail + w₂·C_vol + w₃·C_credit + w₄·C_position Default weights (you can change this): w₁ = 0.34 (Tail Risk via SKEW) w₂ = 0.26 (Volatility Regime via VIX term structure) w₃ = 0.18 (Credit Stress via HYG/LQD + TED spread) w₄ = 0.22 (Positioning Extremes via Put/Call ratio) Each component uses percentile ranking over a 252-day lookback combined with absolute thresholds to capture both relative regime shifts and extreme absolute levels. The Four Pillars Explained 1. Tail Risk (SKEW Index) Measures options market pricing of fat-tail events. High SKEW indicates elevated outlier probability. C_tail = 0.7·percentrank(SKEW, 252) + 0.3·((SKEW - 115)/0.5) 2. Volatility Regime (VIX Term Structure) Combines VIX level with term structure slope. Backwardation signals acute stress. C_vol = 0.4·VIX_level + 0.35·VIX_slope + 0.25·VIX_ratio 3. Credit Stress (HYG/LQD + TED Spread) Tracks high-yield deterioration versus investment-grade and interbank lending stress. C_credit = 0.65·percentrank(LQD/HYG, 252) + 0.35·(TED/0.75)·100 4. Positioning Extremes (Put/Call Ratio) Detects extreme hedging demand through percentile ranking and z-score analysis. C_position = 0.6·percentrank(P/C, 252) + 0.4·zscore_normalized What the Indicator Really Measures? Not Volatility but Fragility Markets Going Down ≠ Fragility Building (actually when markets go down, risk and fragility are released) The 0-100 Scale & Regime Thresholds The indicator outputs a 0-100 fragility score with four regimes: 🟢 Safe (0-39): System resilient, can absorb normal shocks 🟡 Building (40-54): Early fragility signs, watch for deterioration 🟠 Elevated (55-69): System vulnerable 🔴 Critical (70-100): Highly susceptible to cascade failures Further Reading for Nerds Bak, P., Tang, C., & Wiesenfeld, K. (1987). "Self-organized criticality: An explanation of 1/f noise." Physical Review Letters. Bak, P. & Chen, K. (1991). "Self-organized criticality." Scientific American. Bak, P. (1996). How Nature Works: The Science of Self-Organized Criticality. Copernicus. Feedback is appreciated :)
Индикатор Pine Script®
от HenriqueCentieiro
3
BTC 50/200 EMA Trend Meter by FlyingOceanTigerBTC 50/200 EMA Trend Meter This indicator plots a classic 50/200 EMA trend filter on any chart, with clear visual cues for the major “golden cross” and “death cross” events. Features • Plots the 50 EMA (fast) and 200 EMA (slow) on price • Highlights “trend-on” zones in the background when 50 EMA > 200 EMA • Prints BUY labels on golden crosses (50 EMA crossing ABOVE 200 EMA) • Prints SELL labels on death crosses (50 EMA crossing BELOW 200 EMA) • Alert conditions for both BUY and SELL signals Designed primarily for BTCUSD on the 1D timeframe as a long-only trend meter, but it works on any symbol or timeframe. Use it to stay aligned with the bigger trend and avoid overtrading chop. For educational purposes only. This is not financial advice and does not guarantee future performance.
Индикатор Pine Script®
от FlyingOceanTiger
90% Buying Power Position Size Helper90% Buying Power Position Size Helper — Script Description This tool calculates a recommended share size based on your available buying power and the current market price. TradingView does not provide access to live broker balances, so this script allows you to manually enter your current buying power and instantly see how many shares you can buy using a chosen percentage of it (default: 90%). How It Works • Enter your Buying Power ($) • Choose the Percent to Use (e.g., 90%). • The script divides the selected portion of your buying power by the current price of the symbol. • A small display in the chart corner shows the recommended number of shares to buy. Formula shares = floor((buying_power * percent_to_use / 100) / price) What It’s For • Day traders who size positions based on account buying power • Traders who want a quick way to calculate share size per trade • Anyone who sizes entries using a fixed percentage of their account What It Doesn’t Do Due to TradingView limitations, the script cannot: • Read your live buying power or broker balance • Auto-fill orders or submit trades • Retrieve real account data from your broker You simply update the buying power input whenever your account changes, and the script does the rest. Why It’s Useful • Keeps you consistent with position sizing • Reduces manual math during fast trading • Prevents oversizing or undersizing trades • Helps maintain discipline and risk control
Индикатор Pine Script®
от TraderBecks
5 SMA Set + Bollinger Bands follow this especially 5 day average5 SMA Set + Bollinger Bands follow this especially 5 day average is important //@version=5 indicator("5'li SMA Seti + Bollinger Bands", overlay=true, max_lines_count=10) // === ORİJİNAL 5'Lİ SMA SETİ (HİÇ DOKUNMADIM) === len1 = 1 len5 = 5 sma1_low = ta.sma(low, len1) sma1_high = ta.sma(high, len1) sma5_low = ta.sma(low, len5) sma5_high = ta.sma(high, len5) sma5_close = ta.sma(close, len5) plot(sma1_low, title="1 Periyot Düşük SMA", color=#8B0000, linewidth=4, style=plot.style_circles) plot(sma1_high, title="1 Periyot Yüksek SMA", color=#006400, linewidth=4, style=plot.style_circles) plot(sma5_low, title="5 Periyot Düşük SMA", color=#FF4040, linewidth=2, style=plot.style_line) plot(sma5_high, title="5 Periyot Yüksek SMA", color=#90EE90, linewidth=2, style=plot.style_line) plot(sma5_close, title="5 Periyot Kapanış SMA", color=#DA70D6, linewidth=3, style=plot.style_line) // === KLASİK BOLLINGER BANDS (20-2) - ORİJİNAL HALİYLE === length_bb = 20 mult = 2.0 basis = ta.sma(close, length_bb) dev = mult * ta.stdev(close, length_bb) upper = basis + dev lower = basis - dev plot(basis, title="BB Orta (SMA 20)", color=#787B86, linewidth=2) p1 = plot(upper, title="BB Üst Bant", color=#2962FF, linewidth=1) p2 = plot(lower, title="BB Alt Bant", color=#2962FF, linewidth=1) fill(p1, p2, color=color.new(#2962FF, 94), title="BB Arka Plan")
Индикатор Pine Script®
от renatekstil2
1
MACDiver from axis V1.4Indicator that identifies bullish and bearish divergences between price action and the MACD oscillator. It uses pivot highs/lows in both price and MACD series to detect potential reversal signals. When price makes higher highs (or lower lows) while MACD makes lower highs (or higher lows), the indicator marks these divergences with lines and labels on the chart, providing potential trading signals. MACDiver Indicator Usage Guide Purpose: Detects bullish and bearish divergences between price action and the MACD oscillator, with projected target price levels. Key Features: Divergence Detection: Finds mismatches between price and MACD movements Target Projection: Calculates and displays estimated reversal price levels Visual Signals: Shows lines, labels, and target markers on the chart Main Settings: pivotLR: Sensitivity for pivot detection (default: 5). Lower = more sensitive, higher = fewer false signals searchBack: How many bars back to search for matching pivots (default: 120). Adjust based on your timeframe showTarget: Enable/disable target price projections showTargetLines: Enable/disable dashed projection lines How to Use: Identify Divergences: Bullish: Price makes lower lows while MACD makes higher lows (green "Bull Div" label) Bearish: Price makes higher highs while MACD makes lower highs (red "Bear Div" label) Check Target Levels: Green/red target label shows projected price level for bullish/bearish divergences Dashed line extends from the divergence point to the target Trade Entry: Use divergence confirmation as potential entry signal Target level as take-profit reference Adjust Settings: Higher pivotLR for fewer signals, lower for more sensitivity Adjust searchBack based on typical trend lengths on your timeframe Key Variables: pivotLR: Number of bars to the left/right to confirm pivot highs/lows searchBack: Maximum number of bars to look back when searching for previous matching pivots
Индикатор Pine Script®
от axisbhp
🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner🚀 Enhanced BUY & SELL Pullback Scanner
Индикатор Pine Script®
от Patta121314
MACD Cross Long/Short Alert📌 MACD Cross Long/Short Alert — Indicator Description 📌 MACD 上/下穿信号线提醒指标说明 🇺🇸 English Description This indicator provides clean and actionable MACD cross alerts, designed for traders who need quick “long/short” signals based on MACD line and Signal line interactions. Key Features Standard MACD Calculation Uses customizable Fast EMA, Slow EMA, and Signal EMA. Cross-Based Trading Signals Bullish Cross (MACD crossover Signal) → Long setup Bearish Cross (MACD crossunder Signal) → Short setup Chart Markers Triangles plotted directly on the chart for fast visual recognition. Built-in Alerts Automatically triggers alerts when MACD crosses above/below the signal line. Works with any timeframe and any asset. Use Cases Intraday trend reversal detection Momentum confirmation Breakout retest validation Simple auto-trading signal for strategies/robots Quick scalp entries on 5m/10m/30m This MACD tool is ideal for traders who need a fast, reliable long/short trigger without unnecessary complexity. 🇨🇳 中文说明 本指标提供 MACD 上穿/下穿信号线的即时做多/做空提醒，适用于所有周期与品种，是一个简洁、实用的趋势转折信号工具。 主要功能 标准 MACD 计算 快线 EMA、慢线 EMA、Signal EMA 均可自定义。 交叉交易信号 上穿 Signal → 多头信号（做多） 下穿 Signal → 空头信号（做空） 图表标记 图中自动绘制上/下三角形，方便肉眼快速发现信号。 内置警报提醒 自动推送 MACD 上下穿事件，可用于： APP 推送 邮件提醒 自动化策略触发 日内做单提醒 适用场景 日内反转捕捉（5m / 10m / 30m） 动量确认 趋势切换点识别 回踩/突破后的方向确认 自动交易机器人信号源
Индикатор Pine Script®
от yangjianyu0806
RS Rating Multi-TimeframeRS Rating Multi-Timeframe (IBD-Style Relative Strength) Short Description: IBD-style Relative Strength Rating (1-99) comparing any stock's performance vs the S&P 500 across multiple timeframes. Full Description: Overview This indicator calculates an IBD-style Relative Strength (RS) Rating that measures a stock's price performance relative to the S&P 500 over the past 12 months. The rating scale ranges from 1 (weakest) to 99 (strongest), telling you how a stock ranks against all other stocks in terms of relative performance. How It Works The RS Rating uses a weighted formula based on quarterly performance: Last 63 days (1 quarter): 40% weight Last 126 days (2 quarters): 20% weight Last 189 days (3 quarters): 20% weight Last 252 days (4 quarters): 20% weight This weighting emphasizes recent performance while still accounting for longer-term strength. Rating Interpretation 90-99 (Elite): Top 10% of all stocks - exceptional relative strength 80-89 (Excellent): Top 20% - strong leadership candidates 50-79 (Average): Middle of the pack 30-49 (Below Average): Underperforming the market 1-29 (Weak): Bottom 30% - avoid or consider shorting Features Multi-Timeframe: Works on any timeframe from 1-hour to weekly (always uses daily data for calculation) Moving Average: Optional EMA or SMA of the RS Rating to smooth signals Visual Zones: Color-coded zones for quick identification of strength/weakness Signal Markers: Triangles appear when RS crosses key levels (80 and 30) Info Table: Displays current RS Rating, change, MA value, and raw score Alerts: Built-in alerts for key crossover events Settings Show Moving Average: Toggle MA line on/off MA Length: Period for the moving average (default: 10) MA Type: Choose between EMA or SMA Benchmark Index: Change the comparison index (default: SP:SPX) Show Rating Table: Toggle the info table on/off How To Use Buy candidates: Look for stocks with RS Rating above 80, ideally rising Avoid: Stocks with RS Rating below 30 or falling rapidly Confirmation: Use RS above its moving average as additional confirmation Divergence: Watch for RS making new highs before price (bullish) or new lows before price (bearish) Credits RS Rating calculation methodology inspired by Investor's Business Daily (IBD) and adapted from Fred6724's RS Rating script. Percentile calibration based on analysis of ~6,600 US stocks. Tags: relative strength, RS rating, IBD, momentum, CAN SLIM, benchmark, SPX, market leaders, stock ranking Category: Relative Strength
Индикатор Pine Script®
от rwalk1979
NYMO Fib Levels - RGNYMO is a single-session tool built around Fibonacci projections from the New York morning move. It automatically marks the NYMO session, measures its high–low range and projects your custom fib multiples above and below price, with every level drawn and labelled so you always know exactly which multiple you are trading around. The core of the script is the 12:00–12:30 opening window. That first 30 minutes is treated as the price-discovery phase of the session: it captures the initial burst of liquidity, the repricing of overnight positions and the first real directional push. The high and low of 12:00–12:30 form the opening range, and all fib projections are anchored to that move, turning the very first half-hour into a structured map for the rest of the session. On top of the fib framework, NYMO can show the NYMO session box, compare the current range to recent NYMO statistics, and trigger alerts when price breaks the NYMO high or low or trades through key fib areas. It is built for traders who only care about the New York morning and want all of their structure, targets and alerts driven by fibs from that one defined opening window.
Индикатор Pine Script®
от rupeshgonte