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Btc-e

PredictorSZ: Random-Drift Predictor (v+a+Mean Reversion) is a probabilistic indicator designed to estimate the likelihood of the next price movement direction using a hybrid statistical model. Instead of giving traditional buy/sell signals, it calculates the probability of upward vs downward movement by combining three core market forces: Velocity (v) – smoothed price returns to measure momentum Acceleration (a) – change in momentum to detect strengthening or weakening trends Mean Reversion Bias – distance from a long-term equilibrium (EMA/SMA center) These components are merged into a normalized score and transformed using a logistic function, producing a smooth probability curve between 0% and 100%. Key Features • Outputs P(Up) and P(Down) as real probabilities • Combines momentum + acceleration + mean reversion • Adaptive normalization based on market volatility • Visual thresholds to identify strong directional bias • Optional component plots for deeper analysis • Designed for BTC, crypto, and all liquid markets How to use • Above 50% → bullish bias • Below 50% → bearish bias • Above threshold (e.g. 55%) → strong bullish probability • Below inverse threshold (e.g. 45%) → strong bearish probability This tool does not predict the future with certainty — it measures statistical edge based on current market dynamics. Ideal for use as a directional filter, confirmation tool, or research instrument. 🇸🇮 Slovenska verzija (krajše) SZ: Random-Drift Predictor je indikator, ki izračuna verjetnost rasti ali padca cene na podlagi kombinacije: • momentuma (hitrost) • spremembe momentuma (pospešek) • odmika od ravnovesne cene (mean reversion) Rezultat je verjetnost med 0% in 100%, ki prikazuje statistični bias trga. Interpretacija • nad 50% → bias rasti • pod 50% → bias padca • nad pragom (npr. 55%) → močan signal rasti • pod pragom → močan signal padca Indikator je namenjen kot orodje za oceno statistične prednosti, ne kot klasičen buy/sell signal.
Pine Script®指标
由SkritaZnanost提供
Structural Volatility Expansion StrategyStructural Volatility Expansion Strategy Purpose This strategy studies the relationship between confirmed market structure breaks and volatility regime shifts. Its objective is to participate in directional expansions that occur after structural confirmation, while filtering out low-volatility consolidations and false breakouts. The script is intended for research and systematic evaluation, not predictive claims. Methodology The model combines three interacting components: 1. Confirmed Structural Break Logic Market structure is derived using confirmed pivot highs and pivot lows. A bullish structural break is defined as a close above the most recent confirmed pivot high. A bearish structural break is defined as a close below the most recent confirmed pivot low. Pivots require full bar confirmation, which prevents forward-looking bias and repainting. This approach differs from simple rolling highest/lowest calculations by using structurally validated turning points. 2. Volatility Regime Classification Volatility is measured using ATR relative to its moving average baseline. Two regimes are defined: Compression: ATR below its historical baseline. Expansion: ATR above its historical baseline. Trades are only allowed during expansion phases. This attempts to reduce participation during statistically lower-momentum environments. 3. Liquidity Sweep Filter Breakouts that wick beyond structural levels but fail to close beyond them are treated as liquidity sweeps and are excluded. This reduces exposure to stop-run reversals where structure appears broken intrabar but fails on close. 4. Higher Timeframe Alignment Directional bias is determined using a higher timeframe moving average. Long entries require higher timeframe close above its MA. Short entries require higher timeframe close below its MA. Lookahead is disabled to avoid repainting. This introduces multi-timeframe confirmation without using future data. Risk Management Default strategy properties: Initial capital: 10,000 Position sizing: 2% of equity per trade Commission: 0.04% Slippage: 2 ticks Pyramiding: Disabled Stops are ATR-based and targets use a fixed risk-reward multiple (default 2:1). The position sizing is intentionally conservative and does not exceed commonly accepted sustainable risk thresholds. Backtesting Transparency When evaluating results: Use markets with sufficient liquidity. Ensure a dataset that generates a meaningful number of trades (ideally 100+). Keep default commission and slippage settings unchanged. Avoid optimizing inputs solely to maximize historical performance. Performance results are dependent on instrument, timeframe, and historical period tested. This script does not guarantee profitability and should be forward-tested before any live use. Intended Use This strategy is designed for: Studying structural continuation patterns Researching volatility regime transitions Comparing breakout performance during expansion vs compression Systematic strategy development It is not intended as financial advice. Originality Notes The script: Uses confirmed pivot-based structure rather than raw lookback highs/lows Filters entries by volatility regime classification Excludes wick-only structural violations Applies non-repainting higher timeframe bias Uses realistic transaction cost modeling The logic emphasizes interaction between structure and volatility rather than indicator stacking. Limitations & Responsible Use This strategy has several important limitations: Lag From Pivot Confirmation Structural pivots require confirmation, which introduces delay. Signals may occur after a portion of the move has already developed. ATR Sensitivity Volatility classification depends on ATR relative to its baseline. During regime transitions, expansion signals may appear slightly late or briefly revert to compression. Trend Dependency The strategy performs best during directional market phases. Extended sideways environments may reduce performance even with volatility filtering. Higher Timeframe Influence The higher timeframe moving average is a smoothing mechanism and may not capture sudden macro shifts immediately. Market Specific Behavior Different asset classes (crypto, forex, equities, indices) exhibit different volatility cycles. Parameters may require testing across multiple datasets rather than optimization for a single instrument. Backtest Limitations Historical testing does not account for: Liquidity variations Execution delays Psychological decision-making factors Structural market changes over time Forward testing and risk control are recommended before any real capital deployment. Suggested Evaluation Approach For objective evaluation: Test across multiple years of data. Use instruments with consistent liquidity. Maintain realistic commission and slippage settings. Avoid curve-fitting inputs to a specific historical window. Compare results across trending and ranging environments. Risk Disclaimer This script is provided for research and educational purposes only. It does not constitute investment advice. All trading involves risk, and past performance does not guarantee future results.
Pine Script®策略
由JaxonJackFX提供
BTC Cycle RSI + LinReg Bands DCA Strategy v2Overview BTC Cycle RSI DCA Strategy v2 backtests a phase-based dollar-cost averaging system with sequential sell rotations to a simulated yield basket (STRC) and hybrid yield-funded DCA during deep bear markets. Built on smoothed RSI with self-adjusting linear regression bands (adapted from Zeiierman's open-source work). How It Works Eight cycle phases drive DCA multipliers from 5x (Deep Bear) down to 0x (Mature Bull), with post-peak taper at 0.5x (Distribution) and 0.25x (Weakening) Two sequential sells (20% then 40%) rotate BTC holdings into a simulated yield basket when RSI breaks below the midline after an overbought cycle Plunge guard locks out the second sell if RSI collapses to the lower band after the first sell Yield basket compounds at a configurable APR and deploys capital back into BTC during deep bear phases via a hybrid model (time ramp + drawdown scaling + pool cap) Start date filter lets you isolate specific cycles for backtesting Starting yield basket balance input lets you seed the simulation with an existing position Default Properties Initial capital: $100,000 | Commission: 0.05% per side | Slippage: 5 ticks | Base DCA: $100/week | Yield APR: 11% | Hybrid deploy: 25% of pool/week, 4% cap, 25-week ramp, cubic drawdown scaling Realistic Backtesting Notes Commission and slippage are enabled by default. The strategy uses fixed USD-denominated DCA orders rather than percentage-of-equity sizing, reflecting real-world DCA behavior. The yield basket is simulated off-chain and is NOT included in Strategy Tester equity — check the Total Wealth plot for the combined view. Attribution RSI + self-adjusting linear regression band structure adapted from Zeiierman's open-source indicator. Post-peak phase logic, DCA taper, plunge guard, sell sequencing, yield simulation, and hybrid deployment model are original additions. Disclaimer Backtesting results are hypothetical and do not guarantee future performance. This strategy is for educational and informational purposes only. Always do your own research.
Pine Script®策略
由AngryBuhda提供
BTC Cycle Navigator v2 - Phase DCA + Yield Deploy GuidanceOverview BTC Cycle Navigator v2 is a phase-based guidance indicator built on smoothed RSI with self-adjusting linear regression bands (adapted from Zeiierman's open-source work). It identifies eight distinct cycle phases and provides real-time DCA sizing, sell rotation signals, and yield deployment suggestions — all displayed in an on-chart table. What It Does Detects cycle phases: Deep Bear → Bear Recovery → Early Bull → Bull Building → Bull Confirmed → Mature Bull → Distribution → Weakening Post-peak awareness: after RSI crosses the overbought level, Bull Confirmed becomes Distribution and Bull Building becomes Weakening — with tapered DCA (0.5x and 0.25x) Two-stage sell rotation: FIRST_SELL (20%) and SECOND_SELL (40%) triggered by confirmed RSI midline breakdowns after an overbought cycle Plunge guard: if RSI collapses to the lower band after FIRST_SELL, the second sell is locked out to prevent selling into a crash Hybrid yield deployment model: suggests weekly capital deployment from a yield basket during deep bear phases using time-ramped, drawdown-scaled, pool-capped logic How To Use Apply to BTCUSD on the 1W (weekly) timeframe Set your Start Date to the beginning of the cycle you want to track Enter your Base DCA amount (the 1x weekly amount in USD) Enter your Yield Basket size and target keep % for deployment guidance Read the on-chart table for current phase, DCA amount, sell status, and yield deploy suggestion Set alerts for phase changes and sell signals Phase → DCA Multiplier Deep Bear: 5x | Bear Recovery: 3x | Early Bull: 2x | Bull Building: 1x | Bull Confirmed: 1x | Mature Bull: 0x (paused) | Distribution: 0.5x | Weakening: 0.25x Attribution RSI + self-adjusting linear regression band structure adapted from Zeiierman's open-source indicator. Post-peak phase logic, DCA taper model, plunge guard, sell sequencing, and hybrid yield deployment are original additions. Disclaimer This indicator provides informational guidance only. It does not constitute financial advice. Past RSI patterns do not guarantee future performance. Always do your own research.
Pine Script®指标
由AngryBuhda提供
Strategy Pack by cryptokazancevStrategy Pack by cryptokazancev Комплексный инструмент для анализа рыночной структуры / Comprehensive Market Structure Analysis Tool 🇷🇺 Описание на русском Strategy Pack by cryptokazancev - это мощный набор инструментов для технического анализа, включающий: • Ордерблоки (Order Blocks) с настройкой количества и цветов • Пивоты (Pivot Points) различных таймфреймов • Рыночную структуру с зонами Фибоначчи (0.618, 0.786) • Разворотные конструкции (пинбары и поглощения) • Зоны интереса на основе скопления свингов 📊 Основные функции: 1. Ордерблоки - Автоматическое определение бычьих/медвежьих OB - Настройка максимального количества блоков (до 30) - Кастомизация цветов 2. Пивоты - Поддержка таймфреймов: Дневные/Недельные/Месячные/Квартальные/Годовые - Уровни Camarilla (P, R1-R4, S1-S4) 3. Рыночная структура - Четкое определение тренда (UP/DOWN) - Ключевые уровни Фибо (0.618 и 0.786) - Настройка глубины анализа (10-1000 баров) 4. Разворотные конструкции - Обнаружение пинбаров - Обнаружение поглощений - Настройка чувствительности 5. Зоны интереса - Алгоритм кластеризации свингов - Настройка через ATR-мультипликатор - Лимит отображаемых зон 🇬🇧 English Description Strategy Pack is a comprehensive market analysis toolkit featuring: • Order Blocks with customizable count and colors • Pivot Points for multiple timeframes • Market Structure with Fibonacci zones • Reversal patterns (pinbars and engulfings) • Interest Zones based on swing clustering 📊 Key Features: 1. Order Blocks - Auto-detection of bullish/bearish OB - Configurable max blocks (up to 30) - Custom color schemes 2. Pivot Points - Supports: Daily/Weekly/Monthly/Quarterly/Yearly - Camarilla levels (P, R1-R4, S1-S4) 3. Market Structure - Clear trend detection (UP/DOWN) - Key Fibonacci levels (0.618 & 0.786) - Adjustable analysis depth (10-1000 bars) 4. Reversal Patterns - Smart pinbar detection - ATR-based engulfing filter - Sensitivity adjustment 5. Interest Zones - Swing clustering algorithm - ATR-multiplier configuration - Display limit (up to 10 zones) ⚙️ Technical Highlights: • Built with Pine Script v5 • Performance-optimized • Well-commented code • Flexible settings system ⚠️ Важно / Important: Индикатор в бета-версии. Тестируйте перед использованием в реальной торговле. This is BETA version. Please test before live trading. 💬 Поддержка / Support: Комментарии к скрипту / Script comments section Developer: ZeeZeeMon
Pine Script®指标
由cryptokazancev提供
Macro Clock Overlap 166/186/208) Anchored (v6)Macro Clock Overlap is a time-based market structure overlay designed to visualize cyclical pressure zones created by the interaction of three independent macro clocks: 166 weeks — Momentum / expansion cycle (anchored to a major weekly RSI peak) 186 weeks — Capitulation / contraction cycle (anchored to a weekly RSI < 30 trough) 208 weeks — Bitcoin halving cycle (protocol-defined supply shock) Rather than attempting to predict price, this indicator highlights periods of structural instability where multiple cycles overlap — conditions that historically coincide with increased volatility, regime shifts, and non-linear market behavior. How it works Each cycle is projected forward and backward from a fixed anchor date. Around each projected event, a configurable time window (± weeks) is applied. For every bar, the script computes an Overlap Score (0–3): 0 — No active macro cycles 1 — Single cycle influence 2 — Reinforced cycle overlap (heightened instability) 3 — Rare full convergence (maximum structural stress) The background shading reflects the current overlap score, and optional vertical lines mark projected cycle events for each clock. What this indicator is (and isn’t) ✔ A probabilistic timing framework ✔ A way to identify volatility expansion and transition zones ✔ Useful for risk management, position sizing, and expectation setting ✘ Not a price prediction tool ✘ Not a buy/sell signal generator ✘ Not curve-fitted to price action This tool is best used in conjunction with price structure, trend, and momentum analysis. Customization Anchor dates can be adjusted from the settings panel Cycle lengths and window sizes are fully configurable Visuals (background shading, vertical lines, table) can be toggled on/off Designed for weekly charts, but works on any timeframe with macro intent. Philosophy Markets are not governed by a single clock. They evolve through the interaction of multiple rhythms — internal momentum, stress accumulation, and external shocks. Macro Clock Overlap makes those rhythms visible.
Pine Script®指标
由Scriggity提供
BTC Liquidation Heatmap | Multi-ExchangeBTC Liquidation Heatmap | Multi-Exchange 🔍 This heatmap pulls volume data from Binance, Coinbase, and Bitstamp simultaneously to show you where the real liquidation clusters are sitting. Instead of guessing where stops might get hit, you get actual volume-weighted zones with a strength score that tells you which levels matter. The zones change color based on how much volume is stacked at each level. Bright colors mean heavy liquidation potential, faded colors mean weak spots. Each label shows the volume size, a strength rating out of 10, and how far away it is from current price in percentage terms. Works best on 4H/D1 timeframes for Bitcoin. The default settings are tuned for day trading but you can dial them up or down depending on your style. ⚙️Drop it on your BTCUSD chart and you'll see colored boxes above and below price. Purple zones are short liquidations (above price), teal zones are long liquidations (below price). The thermometer on the right shows you the intensity scale. Labels show three things: volume amount, strength ranking, and distance from current price. A level showing "1.45B ||| Strength 8/10 ||| 2.34%" means there's 1.45 billion in volume weight, it's an 8 out of 10 in terms of strength, and it's 2.34% away from where you are now. The strength ranking is calculated using a proprietary algorithm that weighs multiple factors. Higher numbers mean more likely to cause a reaction when price gets there. Settings You Actually Need to Know 📊 Lookback Bars: How far back to scan for levels. Default is 1000 bars which gives you plenty of context without cluttering the chart. Pivot Width: Higher numbers = fewer but stronger levels. Start with 5, bump it to 8-10 if you're getting too much noise. Min Level Weight: Filter out weak levels by raising this number. If your chart looks messy, start increasing it by 100M increments until it cleans up. Label Size: Set to Normal by default. Switch to Large if you're on a big monitor or Small if you want a cleaner look. How to Use It 🎯 Look for clusters of high-strength levels (8-10 rating) near current price. Those are your magnets. Price tends to get pulled toward them because that's where the liquidity is sitting. When you see a 10/10 level a few percent away, that's your target or your invalidation point depending on which side you're trading. If price breaks through a strong level with momentum, it usually means the liquidations got triggered and you're looking at a real move. Weak levels (1-4 rating) are more likely to get ignored. The distance percentage helps you figure out if a level is even worth watching. A 10/10 level that's 15% away might not matter for your intraday trade, but a 6/10 level that's only 0.5% away definitely does. Exchange Toggles 🔄 You can turn off any of the three exchanges if you want. All three are on by default because more data = better picture. But if you only care about Binance and Coinbase, just uncheck Bitstamp in the settings. The volume recalculates automatically. What to Ignore Don't trade every level you see. Focus on the ones with 6/10 strength or higher that are within 5% of current price. Everything else is just context. And if a level gets hit (price crosses through it), it'll fade out so you know it's done. The thermometer on the right is just a reference. You don't need to stare at it, but it helps when you're trying to figure out if a level is relatively strong or weak compared to everything else on screen.
Pine Script®指标
由ProjectSyndicate提供
3
BTC/M2 Fire Sniffer (Liquidity Range Z-Score)Howdy Fella. Great to see you here, exploring the true data in CRYPTOCAP:BTC analysis. To ensure a perfect view on the markets, here are a few tips on how to fine tune the Fire Sniffer: - Z-Score Lookback: 40 - Liquidity Ratio SuperSmoother Length: 8 - Z-score SuperSmoother Length: 132 Set the ranges as following: Mean: -0.53 Liquidity Cycle Top: 0.8 Liquidity Cycle Bottom: -0.65 With that, you are set to go. Enjoy and make sure to let me know your thoughts on the script. You can contact me on X: @thebitcoinfrontier
Pine Script®指标
由CL24提供
1
OrangePulse v3.0 Lite - Educational DCA StrategyThis open-source script is a simplified version of the OrangePulse algorithm, designed for educational purposes to demonstrate the power of Dollar Cost Averaging (DCA) and Mean Reversion. 📈 Strategy Logic: The script uses a combination of Bollinger Bands and RSI (Relative Strength Index) to identify potential mean reversion opportunities. - Entry: Triggered when price pushes below the lower Bollinger Band while RSI is in oversold territory. - Management: Utilizes up to 3 Safety Orders (DCA) to improve the average entry price during pullbacks. 🎯 Features: • Customizable Volume Scale and Step Scale for Safety Orders. • Visual AVG price line and TP/SL levels. • Time-window filter for backtesting. • Real-time Status Table for position monitoring. This script is shared in the spirit of open-source development on TradingView. It is intended to help traders understand how automated position building and risk management work in volatile markets. Check my profile status/bio for more information on our project. ⚠️ Disclaimer: For educational purposes only. Past performance does not guarantee future results.
Pine Script®策略
由OrangePulse提供
BTC - Satoshis Altcoin Graveyard OVERVIEW The Satoshi's Altcoin Graveyard (SAG) is a macro-statistical engine designed to solve the problem of Survivorship Bias . It is a well-known phenomenon in the crypto markets that the "Top 10" list is in a constant state of flux. If you look at historical data from CoinMarketCap (CMC) year by year, you will see a revolving door of projects that once seemed "too big to fail" disappearing into obscurity. Meanwhile, Bitcoin has remained the undisputed #1 since inception. While most traders have a "gut feeling" that Altcoins eventually depreciate against Bitcoin, I believe in measuring it and drawing it on a chart for better visibility. By locking in specific "Cohorts" of market leaders from the past, we can track their inevitable decay through the Satoshi Sieve . THE 13-COIN STATISTICAL BUCKET To ensure an objective, non-biased audit, each cohort (we look at 2018, 2020 and 2022) is constructed using a fixed market-cap methodology from the snapshot date (excluding stablecoins): • The Core: The Top 10 non-stablecoin assets at that time by Marketcap. • The Risk Alpha: Representative samples from the Top #25, #50, and #100 ranks. (By including lower-ranked "riskier" alts, we capture the full statistical decay of the market, not just the "Blue Chips.") TECHNICAL ARCHITECTURE This script is engineered to push the boundaries of the Pine Script engine. TradingView enforces a hard limit of 40 unique data requests . By tracking 3 cohorts of 13 assets plus the Bitcoin base, this indicator utilizes exactly 40/40 requests , providing the maximum possible data density in a single chart window. THE SPS CONCEPT (Survival Probability Score) The SPS measures the Breadth of Survival . It answers: "How many coins from this year (the year of the snapshot) are actually outperforming BTC?" We use a binary logic system to determine if a coin is "Winning" or "Losing" against the only benchmark that matters: Bitcoin. • The Status Formula: Status = Current_Alt_BTC_Ratio >= Entry_Alt_BTC_Ratio ? 1 : 0 . This means: Every single day, at the Daily Close , the script compares the current Alt/BTC ratio to the fixed ratio from the snapshot date. If the coin is worth more in Bitcoin today than it was back then, it is assigned a "1" (a Win). If it has lost value against Bitcoin, it gets a "0" (a Loss). • The SPS Line: SPS Line = (Sum of 'Wins' / 13) * 100 This means: We add up all the "Winners" for that specific day and turn it into a percentage. For example, if the Aqua line is at 7.69% on your chart, it confirms that on that day , exactly 1 out of the 13 coins was successfully beating Bitcoin, while the other 12 were underperforming. THE PERFORMANCE MATRIX In the top-right corner, we provide a Weighted Portfolio Simulation . This answers the financial question: "If I swapped 1 BTC into an equal-weight basket of these 13 coins on the snapshot day, what is my BTC value today?". • Value < 1.0 BTC: You lost purchasing power compared to holding Bitcoin. • Value > 1.0 BTC: You successfully achieved "Alpha" over the benchmark. HOW TO READ THE CHART • The Waterfall: Lines generally trend downward as the "Satoshi Sieve" filters out assets that cannot maintain their BTC-relative value. • Dynamic Winners: We dynamically print the names of the current survivors at the tip of each line. If a cohort shows "None," the graveyard is full. HOW TO READ THE MATRIX • The BTC Target: Any portfolio value in the matrix below 1.0 BTC represents a failed altcoin rotation. • Class of 2018: A portfolio value near 0.15 BTC at the current date, means a 85% loss rate. • Class of 2020: A portfolio value near 0.77 BTC at the current date, means an approx 20 % loss rate. • Class of 2022: A portfolio value near 0.31 BTC at the current date, means an approx 70% loss rate. DIFFERENCE FROM AN ALTCOIN INDEX Standard Altcoin Indexes (like my ALSI Index ) "rebalance" by removing losers and adding new winners. This is deceptive. The Altcoin Graveyard never rebalances . It forces you to watch the "losers" decay, providing a realistic look at the long-term opportunity cost of "Buy and Hold" for anything other than Bitcoin. CONCLUSION The data revealed by the Satoshi Sieve leads to a singular, sobering "Lesson Learned": Picking the right coin to outperform Bitcoin is not just difficult—it is statistically improbable over a long-term horizon. While the "Risk-Reward" of altcoins is often marketed as having higher upside, the Altcoin Graveyard proves that for the vast majority of assets, the reward does not justify the risk of total portfolio erosion in BTC terms. • The Mathematical Odds: If you picked a Top 10 coin in 2018, your chance of outperforming BTC today is effectively 0%. • The Rotation Trap: Most investors "HODL" these assets into the graveyard, hoping for a return to previous ATHs that never comes because the liquidity has already moved on to the next "Class" of winners. The final conclusion is clear: Diversification into altcoins is often just a slow-motion transfer of wealth back to Bitcoin. If you cannot identify the 1-out-of-13 that survives the Sieve, your best risk-adjusted move has historically been to simply hold the benchmark. DISCLAIMER This script is for educational purposes only. It does not constitute financial advice. It is a mathematical study of historical opportunity cost and survivorship bias. Tags bitcoin, btc, satoshis graveyard, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths, robmaths
Pine Script®指标
由Rob_Maths提供
Kadunagra-Pivot Point SuperTrend-trades analysis 📊 Pivot Point SuperTrend Strategy (MA-Filtered, 100% Equity) This strategy is a trend-following system that combines Pivot Point–based SuperTrend logic with a higher-timeframe Moving Average filter and percentage-based risk control. --- 🔹 Core Logic 1️⃣ Trend Detection (Pivot Point SuperTrend) Uses pivot highs and lows to calculate a dynamic center line Builds ATR-based upper and lower bands Determines market trend: Bullish trend when price breaks above the trailing band Bearish trend when price breaks below the trailing band Trend changes generate: Buy signal → trend flips from bearish to bullish Sell signal → trend flips from bullish to bearish --- 2️⃣ Moving Average Trend Filter (User-Selectable) A single Moving Average is used as a higher-timeframe confirmation User can select the MA type from a dropdown: SMA, EMA, WMA, VWMA, RMA, or HMA Trade rules: Long trades only when price is above the selected MA Short trades only when price is below the selected MA This helps avoid counter-trend trades and improves signal quality. --- 3️⃣ Trade Execution & Position Sizing Strategy uses 100% of account equity per trade No pyramiding Long and short trades are handled symmetrically --- 4️⃣ Risk Management (Percentage Stop-Loss) Uses a fixed percentage stop-loss Stop-loss is calculated from the actual entry price: Long SL → Entry Price − SL% Short SL → Entry Price + SL% Ensures consistent risk control across all trades --- ⏱ Recommended Timeframe & Market ✅ Default / Optimized Use Case Timeframe: 4-Hour (4H) Market: BTC (Bitcoin) MA Length (default): 200 EMA ATR Factor & Period: Tuned for swing-style trend moves These default parameters are best suited for 4H BTC based on trend behavior and volatility. --- ⚙️ Customization & Flexibility All parameters are fully adjustable and can be optimized for: Different timeframes (1H, Daily, etc.) Other cryptocurrencies or markets More aggressive or conservative risk profiles You can modify: Pivot period ATR factor & period MA type and length Stop-loss percentage --- 🧠 Strategy Style Summary ✔ Trend-following ✔ MA-filtered confirmation ✔ No repaint logic ✔ Works best in trending markets ✔ Suitable for swing trading
Pine Script®策略
由kadunagra提供
BTC Valuation ZonesBTC Valuation – Distance From 200 MA This indicator provides a simple but powerful Bitcoin valuation framework based on how far price is from the 200-period Moving Average, a level that has historically acted as Bitcoin’s long-term equilibrium. Instead of predicting tops or bottoms, this tool focuses on mean-reversion behavior: When price deviates too far above the 200 MA → risk increases When price deviates deeply below the 200 MA → long-term opportunity increases
Pine Script®指标
由LeonardoDaTrader提供
BTC ETF Average Inflow Cost BasisConcept Since the historic launch of Bitcoin Spot ETFs on January 11, 2024, institutional flows have become a major driver of price action. This indicator aims to visualize the aggregate Cost Basis (average entry price) of the major Bitcoin ETFs relative to the underlying asset. It serves as an on-chain proxy for institutional positioning, helping traders identify critical support levels where ETF inflows have historically concentrated. How it Works The script aggregates daily volume data from the top Bitcoin ETFs (IBIT, FBTC, ARKB, GBTC, BITB) and compares it against the Bitcoin price (BTCUSDT). ETF Cost Basis (Pink Line): This is calculated as a Cumulative Volume-Weighted Average Price (VWAP), anchored specifically to the ETF launch date (Jan 11, 2024). Formula: It accumulates (BTC Price * Total ETF Volume) and divides it by the Cumulative Total ETF Volume. This creates a dynamic level representing the "breakeven" price for the aggregate volume traded through these funds. True Market Mean (Gray Line): This represents the simple cumulative average of the Bitcoin price since the ETF launch date. It acts as a neutral baseline for the post-ETF market era. How to Use Institutional Support: The Cost Basis line often acts as a strong dynamic support level during corrections. When price revisits this level, it suggests the market is returning to the average institutional entry price. Trend Filter: Price > Cost Basis: The market is in a net profit state relative to ETF flows (Bullish/Trend continuation). Price < Cost Basis: The market is in a net loss state (Bearish/Capitulation risk). Confluence: The intersection of the Cost Basis and the True Market Mean can signal pivotal moments of trend reset. Features Data Aggregation: Pulls data from 5 major ETFs via request.security without repainting (using closed bars). Dashboard: Includes a table in the top-right corner displaying real-time values for Price, Cost Basis, and Market Mean. Customization: You can toggle individual ETF Moving Averages in the settings (disabled by default due to price scale differences between BTC and ETF shares). Disclaimer This tool is for educational purposes only and attempts to estimate institutional cost basis using volume proxies. It does not represent financial advice.
Pine Script®指标
由carlosbucci提供
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration Overview This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions. Key Features 📊 Multi-Component Risk Assessment 4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean 20-Week MA Analysis: Tracks medium-term momentum shifts 50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength All metrics are normalized by time to account for Bitcoin's maturing market dynamics 💰 3-Tier DCA Buy System Level 1 (Low Risk): Conservative entry with base allocation Level 2 (Lower Risk): Increased allocation as opportunity improves Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation 📈 Progressive Profit Taking Sell Level 1: Take initial profits as risk increases Sell Level 2: Scale out further positions during elevated risk Sell Level 3: Final exit during extreme market conditions Sell levels automatically reset when new buy signals occur, allowing flexible re-entry 🤖 3Commas Integration Fully automated webhook alerts for Custom Signal Bots JSON payloads formatted per 3Commas API specifications Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit) Configurable quote currency (USD, USDT, BUSD) How It Works The strategy calculates a composite risk metric (0-1 scale): 0.0-0.2: Extreme buying opportunity (green zone) 0.2-0.5: Favorable accumulation range (yellow zone) 0.5-0.8: Neutral to cautious territory (orange zone) 0.8-1.0+: High risk, profit-taking zone (red zone) Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure. Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits. Configuration Risk Metric Parameters: All calculations use Bitcoin price data (any BTC chart works) Time-normalized formulas adapt to market maturity No manual parameter tuning required Buy Settings: Set risk thresholds for each tier (default: 0.20, 0.10, 0.00) Define dollar amounts per tier (default: $10, $15, $20) Fully customizable to your risk tolerance and capital Sell Settings: Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00) Set percentage of position to sell at each level (default: 25%, 35%, 40%) 3Commas Setup: Create a Custom Signal Bot in 3Commas Copy Bot UUID and Secret Token into strategy inputs Enable 3Commas Alerts checkbox Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io Backtesting Results Strengths: Systematically buys dips without emotion Averages down during extended bear markets Captures explosive bull run profits through tiered exits Pyramiding (1000 max orders) allows true DCA behavior Considerations: Requires sufficient capital for multiple buys during prolonged downtrends Backtest on Daily timeframe for most reliable signals Past performance does not guarantee future results Visual Design The indicator pane displays: Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases Background zones: Green (buy), yellow (hold), red (sell) areas Dashed threshold lines: Clear visual markers for each buy/sell level Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades Credits Original Risk Metric: Oakley Wood Strategy Development & 3Commas Integration: Claude AI (Anthropic) Modifications: pommesUNDwurst Disclaimer This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
Pine Script®策略
由nakphanan提供
CloudScore by ExitAnt📘 CloudScore by ExitAnt CloudScore by ExitAnt 는 일목균형표(Ichimoku Cloud)의 구름대 돌파 신호를 기반으로, 다양한 추세 보조지표를 결합하여 매수 추세 강도를 점수화(0~5점) 해주는 트렌드 분석 지표입니다. 기존 일목구름 단독 신호는 변동성이 크거나 신뢰도가 낮을 수 있기 때문에, 이 지표는 여러 기술적 요소를 종합적으로 평가하여 “지금이 얼마나 강력한 추세 전환 구간인가?” 를 직관적으로 보여줍니다. 🎯 지표 목적 일목균형표 구름 돌파의 신뢰도 강화 보조지표 신호를 자동으로 점수화하여 한눈에 판단 가능 캔들 위에 이모지를 배치해 시각적으로 즉시 해석 가능 초보자부터 숙련자까지 모두 활용 가능한 추세 진입 필터링 도구 🧠 점수 계산 방식 (0~5점) 구름 상향 돌파가 발생하면 아래 조건들을 체크하여 점수를 부여합니다. ▶ +1점 조건 항목 1. 골든 크로스 발생 * 최근 설정한 n봉 이내에서 Fast MA가 Slow MA를 상향 돌파한 경우 2. RSI 과매도 구간 * RSI가 설정 값 이하일 때 추세 전환 가능성이 증가 3. MACD 강세 전환 * MACD가 0 아래에 있으면서 시그널선 상향 돌파 발생 4. RSI 상승 다이버전스 * 가격은 낮아지지만 RSI는 상승 → 바닥 신호 5. 200MA 위에 위치 * 장기 추세와 일치하는 시점만 점수 강화 ▶ 점수별 이모지 1점 🟡 : 약한 진입 신호 2점 🟢 : 관찰이 필요한 강화 신호 3점 📈 : 추세 전환 가능성 증가 4점 🚀 : 강한 추세 신호 5점 👑 : 매우 강력한 진입 시그널 🖥 차트 표시 요소 구름대(Span A / Span B)만 표시하여 더 깔끔한 시각화 이모지는 캔들 위에 자동 배치 필요 시 최근 n개의 캔들만 표시하도록 설정 가능 오른쪽 상단에 조건 요약 안내창 표시 🔧 사용자 설정 Tenkan / Kijun / SenkouB 기간 조정 MA, RSI, MACD, 다이버전스 사용 여부 선택 최근 몇 개의 캔들까지 점수를 표시할지 설정 가능 이모지는 사용자 취향에 따라 변경 가능 ⚠️ 유의사항 본 지표는 **가격 움직임의 확률적 해석을 돕는 보조지표**이며, 단독으로 매수·매도 결정을 내려서는 안 됩니다. 시장 상황(변동성, 거래량, 프레임)에 따라 신호의 신뢰도는 달라질 수 있습니다. 실제 매매 전략에 적용하기 전 반드시 백테스트와 검증이 필요합니다. # **📘 CloudScore by ExitAnt — English Description** 📘 CloudScore by ExitAnt CloudScore by ExitAnt is a trend analysis indicator that evaluates bullish trend strength by scoring (0–5 points) signals based on Ichimoku Cloud breakouts combined with multiple momentum and trend indicators. Since the default Ichimoku Cloud breakout alone can be unreliable or highly volatile, this indicator integrates several technical conditions to visually and intuitively show “How strong is the current trend reversal opportunity?” 🎯 Purpose of the Indicator Enhance the reliability of Ichimoku Cloud breakout signals Automatically score multiple signals for quick visual judgment Place emojis directly above candles for instant interpretation Works for both beginners and experienced traders as a trend-entry filtering tool 🧠 Scoring Logic (0–5 points) When a bullish breakout above the cloud occurs, the indicator checks the following conditions and assigns points. ▶ +1 Point Conditions 1. Golden Cross * Fast MA crosses above Slow MA within the user-defined lookback window 2. RSI Oversold * RSI below threshold increases the probability of trend reversal 3. MACD Bullish Shift * MACD is below zero while crossing above the signal line 4. RSI Bullish Divergence * Price makes a lower low while RSI makes a higher low → potential bottom signal 5. Above the 200MA * Only scores when price aligns with long-term trend direction ▶ Emoji by Score 1 Point 🟡 : Weak early signal 2 Points 🟢 : Improved setup; watch closely 3 Points 📈 : Decent trend reversal possibility 4 Points 🚀 : Strong trend entry signal 5 Points 👑 : Very strong bullish signal 🖥 Chart Elements Displays only Span A / Span B to keep the cloud visually clean Emojis automatically appear above candles Optionally limit the number of candles displaying signals Summary box appears in the upper-right corner 🔧 User Settings Adjustable Tenkan / Kijun / Senkou B periods Enable/disable MA, RSI, MACD, divergence filters Set how many recent candles should show the score Emojis can be customized by the user ⚠️ Disclaimer This is a technical assistant tool that helps interpret price movement probabilities; it should not be used as a standalone buy/sell signal. Signal reliability may vary depending on volatility, volume, and timeframe. Always conduct backtesting and validation before using it in real trading strategies.
Pine Script®指标
由ExitAnt_AI提供
Dumb Money Flow - Retail Panic & FOMO# Dumb Money Flow (DMF) - Retail Panic & FOMO ## 🌊 Overview **Dumb Money Flow (DMF)** is a powerful **contrarian indicator** designed to track the emotional state of the retail "herd." It identifies moments of extreme **Panic** (irrational selling) and **FOMO** (irrational buying) by analyzing on-chain data, volume anomalies, and price velocity. In crypto markets, retail traders often buy the top (FOMO) and sell the bottom (Panic). This indicator helps you do the opposite: **Buy when the herd is fearful, and Sell when the herd is greedy.** --- ## 🧠 How It Works The indicator combines multiple data points into a single **Sentiment Index** (0-100), normalized over a 90-day period to ensure it always uses the full range of the chart. ### 1. Panic Index (Bearish Sentiment) Tracks signs of capitulation and fear. High values contribute to the **Panic Zone**. * **Exchange Inflows:** Spikes in funds moving to exchanges (preparing to sell). * **Volume Spikes:** High volume during price drops (panic selling). * **Price Crash (ROC):** Rapid, emotional price drops over 3 days. * **Volatility (ATR):** High market nervousness and instability. ### 2. FOMO Index (Bullish Sentiment) Tracks signs of euphoria and greed. High values contribute to the **FOMO Zone**. * **Exchange Outflows:** Funds moving to cold storage (HODLing/Greed). * **Profitable Addresses:** When >90% of holders are in profit, tops often form. * **Parabolic Rise:** Rapid, unsustainable price increases. --- ## 🎨 Visual Guide The indicator uses a distinct color scheme to highlight extremes: * **🟢 Dark Green Zone (> 80): Extreme FOMO** * **Meaning:** The crowd is euphoric. Risk of a correction is high. * **Action:** Consider taking profits or looking for short entries. * **🔴 Dark Burgundy Zone (< 20): Extreme Panic** * **Meaning:** The crowd is capitulating. Prices may be oversold. * **Action:** Look for buying opportunities (catching the knife with confirmation). * **🔵 Light Blue Line:** * The smoothed moving average of the sentiment, helpful for seeing the trend direction. --- ## 🛠️ How to Use (Trading Strategies) ### 1. Contrarian Reversals (The Primary Strategy) * **Buy Signal:** Wait for the line to drop deep into the **Burgundy Panic Zone (< 20)** and then start curling up. This indicates that the worst of the selling pressure is over. * **Sell Signal:** Wait for the line to spike into the **Green FOMO Zone (> 80)** and then start curling down. This suggests buying exhaustion. ### 2. Divergences * **Bullish Divergence:** Price makes a **Lower Low**, but the DMF Indicator makes a **Higher Low** (less panic on the second drop). This is a strong reversal signal. * **Bearish Divergence:** Price makes a **Higher High**, but the DMF Indicator makes a **Lower High** (less FOMO/buying power on the second peak). ### 3. Trend Confirmation (Midline Cross) * **Crossing 50 Up:** Sentiment is shifting from Fear to Greed (Bullish). * **Crossing 50 Down:** Sentiment is shifting from Greed to Fear (Bearish). --- ## ⚙️ Settings * **Data Source:** Defaults to `INTOTHEBLOCK` for on-chain data. * **Crypto Asset:** Auto-detects BTC/ETH, but can be forced. * **Normalization Period:** Default 90 days. Determines the "window" for defining what is considered "Extreme" relative to recent history. * **Weights:** You can customize how much each factor (Volume, Inflows, Price) contributes to the index. --- **Disclaimer:** This indicator is for educational purposes only. "Dumb Money" analysis is a probability tool, not a crystal ball. Always manage your risk. **Indicator by:** @iCD_creator **Version:** 1.0 **Pine Script™ Version:** 6 --- ## Updates & Support For questions, suggestions, or bug reports, please comment below or message the author. **Like this indicator? Leave a 👍 and share your feedback!**
Pine Script®指标
由iCD_creator提供
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator ## Overview The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing. ## What It Does This indicator normalizes and combines: - **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges - **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions. ## Core Concept ### Exchange Flows - **Negative Flow (Outflows)** = Bullish Signal - Coins moving OFF exchanges → Long-term holding/accumulation - Indicates reduced selling pressure - **Positive Flow (Inflows)** = Bearish Signal - Coins moving TO exchanges → Preparation for selling - Indicates potential distribution phase ### Total Value Locked (TVL) - **Rising TVL** = Bullish Signal - Capital flowing into DeFi protocols - Increased ecosystem confidence - **Falling TVL** = Bearish Signal - Capital exiting DeFi protocols - Decreased ecosystem confidence ### Combined Signals **🟢 Strong Bullish (70-100):** - Exchange outflows + Rising TVL - Smart money accumulating and deploying capital **🔴 Strong Bearish (0-30):** - Exchange inflows + Falling TVL - Smart money preparing to sell and exiting positions **⚪ Neutral (40-60):** - Mixed or balanced flows ## Key Features ### ✅ Auto-Detection - Automatically detects chart symbol (BTC/ETH) - Uses appropriate exchange flow data for each asset ### ✅ Weighted Composite - Customizable weights for Exchange Flow and TVL components - Default: 50/50 balance ### ✅ Normalized Scale - 0-100 index scale - Configurable lookback period for normalization (default: 90 days) ### ✅ Signal Zones - **Overbought**: 70+ (Strong bullish pressure) - **Oversold**: 30- (Strong bearish pressure) - **Extreme**: 85+ / 15- (Very strong signals) ### ✅ Clean Interface - Minimal visual clutter by default - Only main index line and MA visible - Optional elements can be enabled: - Background color zones - Divergence signals - Trend change markers - Info table with detailed metrics ### ✅ Divergence Detection - Identifies when price diverges from smart money flows - Potential reversal warning signals ### ✅ Alerts - Extreme overbought/oversold conditions - Trend changes (crossing 50 line) - Bullish/bearish divergences ## How to Use ### 1. Trend Confirmation - Index above 50 = Bullish trend - Index below 50 = Bearish trend - Use with price action for confirmation ### 2. Reversal Signals - **Extreme readings** (>85 or <15) suggest potential reversal - Look for divergences between price and indicator ### 3. Accumulation/Distribution - **70+**: Accumulation phase - smart money buying/holding - **30-**: Distribution phase - smart money selling ### 4. DeFi Health - Monitor TVL component for DeFi ecosystem strength - Combine with exchange flows for complete picture ## Settings ### Data Sources - **Exchange Flow**: IntoTheBlock real-time data - **TVL**: DefiLlama aggregated DeFi TVL - **Manual Mode**: For testing or custom data ### Indicator Settings - **Smoothing Period (MA)**: Default 14 periods - **Normalization Lookback**: Default 90 days - **Exchange Flow Weight**: Adjustable 0-100% - **Overbought/Oversold Levels**: Customizable thresholds ### Visual Options - Show/Hide Moving Average - Show/Hide Zone Lines - Show/Hide Background Colors - Show/Hide Divergence Signals - Show/Hide Trend Markers - Show/Hide Info Table ## Data Requirements ⚠️ **Important Notes:** - Uses **daily data** from IntoTheBlock and DefiLlama - Works on any chart timeframe (data updates daily) - Auto-switches between BTC and ETH based on chart - All other crypto charts default to BTC exchange flow data ## Best Practices 1. **Use on Daily+ Timeframes** - On-chain data is daily, most effective on D/W/M charts 2. **Combine with Price Action** - Use as confirmation, not standalone signals 3. **Watch for Divergences** - Price making new highs while indicator falling = warning 4. **Monitor Extreme Zones** - Sustained readings >85 or <15 indicate strong conviction 5. **Context Matters** - Consider broader market conditions and fundamentals ## Calculation 1. **Exchange Net Flow** = Inflows - Outflows (inverted for index) 2. **TVL Rate of Change** = % change over smoothing period 3. **Normalize** both metrics to 0-100 scale 4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight) 5. **Smooth** with moving average ## Disclaimer This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management. On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy. --- ## Credits **Data Sources:** - IntoTheBlock: Exchange flow metrics - DefiLlama: Total Value Locked data **Indicator by:** @iCD_creator **Version:** 1.0 **Pine Script™ Version:** 6 --- ## Updates & Support For questions, suggestions, or bug reports, please comment below or message the author. **Like this indicator? Leave a 👍 and share your feedback!**
Pine Script®指标
由iCD_creator提供
Pi Cycle BTC Top + Pre-Alert BandsPi Cycle BTC Top + Pre-Alert Bands is an advanced implementation of the classic Pi Cycle Top model, designed for Bitcoin cycle analysis on higher timeframes (especially 1D BTCUSD/BTCUSD·INDEX). The original Pi Cycle Top uses two moving averages: • 111-day SMA (short MA) • 350-day SMA ×2 (long MA) A Pi Top is signaled when the 111 SMA crosses above the 350×2 SMA. Historically, this has occurred near major BTC cycle highs. This script extends that idea with a 3-step early-warning sequence: • Pi Green – early compression: short/long MA ratio crosses upward into the green band (convergence from below is required). • Pi Yellow – mid-cycle warning: only fires if a valid Green has already occurred in the same cycle. • Pi Cycle Top – final top: the classic Pi Cycle cross, limited to one top signal per cycle. After a top, no new Yellow or Top signals can appear until a new Green event starts the next cycle. Background shading shows the active phase (Green / Yellow / late-cycle zone), so you can see at a glance where BTC is within its Pi-based macro structure. All logic is non-repainting: request.security() uses lookahead_off and no future data is accessed. Typical use This indicator is intended as a macro-cycle timing and risk-awareness tool, not a stand-alone entry system. Many traders use it to: • Watch for Pi Green as the start of a potential late-cycle advance. • Treat Pi Yellow as a rising-risk environment and tighten risk management. • Use the Pi Cycle Top as a historical high-risk zone where large profit-taking or hedging may be considered. Always combine this with your own analysis (trend, volume, on-chain, macro) before making decisions. How to set alerts Add the indicator to your chart (1D BTCUSD or BTCUSD·INDEX recommended). Click Alerts → Condition → Pi Cycle BTC Top + Pre-Alert Bands. Choose one of:   • Pi Cycle – Green Pre-Alert (early convergence)   • Pi Cycle – Yellow Pre-Alert (after Green only)   • Pi Cycle – TOP (Single per Cycle, after Green) Use “Once per bar close” for higher-timeframe reliability. Disclaimer This tool is for educational and analytical purposes only. The Pi Cycle concept is based on historical behavior and does not guarantee future results. This is not financial advice; always do your own research and manage risk appropriately.
Pine Script®指标
由KOMMODO_IO提供
Qullamagi EMA Breakout Autotrade (Crypto Futures L+S)Title: Qullamagi EMA Breakout – Crypto Autotrade Overview A crypto-focused, Qullamagi-style EMA breakout strategy built for autotrading on futures and perpetual swaps. It combines a 5-MA trend stack (EMA 10/20, SMA 50/100/200), volatility contraction boxes, volume spikes and an optional higher-timeframe 200-MA filter. The script supports both long and short trades, partial take profit, trailing MA exits and percent-of-equity position sizing for automated crypto futures trading. Key Features (Crypto) Qullamagi MA Breakout Engine – trades only when price is aligned with a strong EMA/SMA trend and breaks out of a tight consolidation range. Longs use: Close > EMA10 > EMA20 > SMA50 > SMA100 > SMA200. Shorts are the mirror condition with all MAs sloping in the trend direction. Strict vs Loose Modes – Strict (Daily) is designed for cleaner swing trades on 1H–4H (full MA stack, box+ATR and volume filters, optional HTF filter). Loose (Intraday) focuses on 10/20/50 alignment with relaxed filters for more frequent 15m–30m signals. Volatility & Volume Filters for Crypto – ATR-based box height limit to detect volatility contraction, wide-candle filter to avoid chasing exhausted breakouts, and a volume spike condition requiring current volume to exceed an SMA of volume. Higher-Timeframe Trend Filter (Optional) – uses a 200-period SMA on a higher timeframe (default: 1D). Longs only when HTF close is above the HTF 200-SMA, shorts only when it is below, helping avoid trading against dominant crypto trends. Autotrade-Oriented Trade Management – position size as % of equity, initial stop anchored to a chosen MA (EMA10 / EMA20 / SMA50) with optional buffer, partial take profit at a configurable R-multiple, trailing MA exit for the remainder, and an optional cooldown after a full exit. Markets & Timeframes Best suited for BTC, ETH and major altcoin futures/perpetuals (Binance, Bybit, OKX, etc.). Strict preset: 1H–4H charts for classic Qullamagi-style trend structure and fewer fake breakouts. Loose preset: 15m–30m charts for higher trade frequency and more active intraday trading. Always retune ATR length, box length, volume multiplier and position size for each symbol and exchange. Strategy Logic (Quick Summary) Long (Strict): MA stack in bullish alignment with all MAs sloping up → tight volatility box (ATR-based) → volume spike above SMA(volume) × multiplier → breakout above box high (close or intrabar) → optional HTF close above 200-SMA. Short: Mirror logic: bearish MA stack, tight box, volume spike and breakdown below box low with optional HTF downtrend. Best Practices for Crypto Backtest on each symbol and timeframe you plan to autotrade, including commissions and slippage. Start on higher timeframes (1H/4H) to learn the behavior, then move to 15m–30m if you want more signals. Use the higher-timeframe filter when markets are strongly trending to reduce counter-trend trades. Keep position-size percentage conservative until you fully understand the drawdowns. Forward-test / paper trade before connecting to live futures accounts. Webhook / Autotrade Integration Designed to work with TradingView webhooks and external crypto trading bots. Alert messages include structured fields such as: EVENT=ENTRY / SCALE_OUT / EXIT, SIDE=LONG / SHORT, STRATEGY=Qullamagi_MA. Map each EVENT + SIDE combination to your bot logic (open long/short, partial close, full close, etc.) on your preferred exchange. Important Notes & Disclaimer Crypto markets are highly volatile and can change regime quickly. Backtest and forward-test thoroughly before using real capital. Higher timeframes generally produce cleaner MA structures and fewer fake breakouts. This strategy is for educational and informational purposes only and does not constitute financial advice. Trading leveraged crypto products involves substantial risk of loss. Always do your own research, manage risk carefully, and never trade with money you cannot afford to lose.
Pine Script®策略
由asefzxizexvsadf提供
Bitcoin ETF Cumulative Net InflowIndicator Description: This indicator calculates and plots the cumulative net inflow (in billions of USD) for selected Bitcoin ETFs on the main price chart. It uses AUM data from TradingView to estimate daily net flows, adjusted for BTC price changes, and accumulates them over time. The line is overlaid on the price chart (e.g., BTCUSD) with a right scale for better visibility, helping to identify correlations between ETF inflows and Bitcoin price movements. Key Features: Supports selection of 10 major Bitcoin ETFs (IBIT, FBTC, ARKB, etc.) via inputs. Cumulative inflow line (purple, linewidth=2) for trend analysis. Data sourced from request.financial("AUM", "D") for accuracy.
Pine Script®指标
由iCD_creator提供
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy Summary Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts. Scope and intent • Markets: large cap equities and ETFs, index futures, major FX, liquid crypto • Timeframes: one minute to daily • Default demo: BTC on 60 minute • Purpose: faster yet calmer PSAR that resists chop and improves short discipline • Limits: this is a strategy that places simulated orders on standard candles Originality and usefulness • Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias • Addresses false flips in low volatility and weak downtrends • All controls are exposed in Inputs for testability • Yardstick: ATR normalizes drift so settings port across symbols • Open source. No links. No solicitation Method overview Components • Adaptive AF: base step plus boost factor times logistic strength • Trail inertia: one sided blend that keeps the SAR monotone • Flip hysteresis: price must clear SAR by a buffer times ATR • Volatility gate: ATR over its mean must exceed a ratio • Bear bias for shorts: price below EMA of length 91 with negative slope window 54 • Cooldown bars optional after any entry • Visual SAR smoothing is cosmetic and does not drive orders Fusion rule Entry requires the internal flip plus all enabled gates. No weighted scores. Signal rule • Long when trend flips up and close is above SAR plus buffer times ATR and gates pass • Short when trend flips down and close is below SAR minus buffer times ATR and gates pass • Exit uses SAR as stop and optional ATR take profit per side Inputs with guidance Reactor Engine • Start AF 0.02. Lower slows new trends. Higher reacts quicker • Max AF 1. Typical 0.2 to 1. Caps acceleration • Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends • Strength window 18. Typical 10 to 40. Drift estimation window • ATR length 16. Typical 10 to 30. Volatility unit • Strength gain 4.5. Typical 2 to 6. Steepness of logistic • Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic • Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises • AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth • Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail • Allow Long, Allow Short toggles Trade Filters • Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips • Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars • Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes • Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness Risk • TP long ATR 1.0. Set to zero to disable • TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts Usage recipes Intraday trend focus Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime. Intraday mean reversion focus Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated. Swing continuation Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts. Properties visible in this publication Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls. Realism and responsible publication No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles. Honest limitations and failure modes High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips. Open source reuse and credits Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors. Strategy notice Orders are simulated on standard candles. No lookahead. Entries and exits Long: flip up plus ATR buffer and all gates true Short: flip down plus ATR buffer and gates true with bear bias when enabled Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry Tie handling: stop first if both stop and target could fill in one bar
Pine Script®策略
由exlux提供