始めましょう

インジケーターとストラテジー

Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Pine Script® インジケーター
neeson1987の投稿
Market DashboardMarket Dashboard - Trend vs Chop Detection A comprehensive intraday market internals dashboard that displays five key metrics to help traders quickly identify whether the market is in a trending or sideways/rotational regime. METRICS DISPLAYED: 1. VOLD Ratio - Up Volume / Down Volume ratio for NYSE • > +2.0 = Strong buying pressure (green) • < -2.0 = Strong selling pressure (red) • Between -2 and +2 = Neutral/rotational (gray) 2. RVOL - Relative Volume compared to same time over past N days • > 1.5 = Above-average participation (orange) • < 0.7 = Below-average participation (blue) • Otherwise neutral (gray) 3. Breadth % - Net percentage of advancing vs declining issues • > +30% = Broad upside participation (green) • < -30% = Broad downside participation (red) • Between -30% and +30% = Mixed/rotational (gray) 4. ADR Used % - Session range utilization vs 5-day Average Daily Range • > 80% = Extended move, potential exhaustion (orange) • < 30% = Compressed, room to move (blue) • Otherwise neutral (gray) 5. TICK - NYSE TICK Index with sentiment label • > +600 = Strong uptick pressure (green) • < -600 = Strong downtick pressure (red) • Between -600 and +600 = Neutral (gray) HOW TO READ: Trending Day Signals: • VOLD > ±2.5 + Breadth > ±50% + TICK sustained in one direction + RVOL > 1.5 + ADR climbing = Strong trend, trade with pullbacks Sideways/Chop Signals: • VOLD oscillating ±2 + Breadth flipping around 0% + TICK whipping + RVOL < 1.2 + ADR mean-reverting = Range-bound, fade extremes or stand aside CUSTOMIZATION: • Adjustable ADR length (default 5 days) • Adjustable RVOL lookback period (default 10 days, 30 bars) • Table position selector (9 positions available) Perfect for ES, NQ, and other index futures traders who need quick regime assessment at a glance.
Pine Script® インジケーター
volatility_Vikingの投稿
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence. The EMAs used are EMA 9, EMA 12 and EMA 20. When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal. The way to use it is to apply it onto the Pine Screener. You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan. If Condition is True, the candlesticks would have a green arrow below and the background is highlighted. The script is published, feel free to amend it as you like Have a Nice Day, and Trade Safe !
Pine Script® インジケーター
IM_KTD_の投稿
NQ 5x Daily SessionsThis indicator automatically plots horizontal lines for the Daily Open as well as four of the most significant trading milestones of the day (CET/Berlin time). It helps you instantly identify psychological price levels and institutional opening marks directly on your chart. Features: Key Time Stamps: Automatic lines for the daily opening price and specific session opens at 08:00 (Frankfurt/Pre-Market), 10:00, 14:00, and 15:30 (NYSE Open). Fully Customizable: Control line thickness, label visibility, and the extension of current intraday lines via the settings menu. Trading Application: These levels often act as significant Support & Resistance during intraday trading. The 08:00 and 15:30 marks, in particular, frequently represent turning points or the start of strong trends, as trading volume spikes significantly during these windows.
Pine Script® インジケーター
GaborMehringerの投稿
Impulse Move FVG TrackerThis script identifies strong directional impulse moves and automatically plots Fair Value Gaps (FVGs) only in locations that are contextually relevant to those moves. It tracks consecutive candle bodies to determine when a large move up or down has occurred, calculates the midpoint of that impulse, and then displays bullish FVGs above the midpoint after strong upward moves and bearish FVGs below the midpoint after strong downward moves. The script operates only within a user-selected, scrollable time-of-day window and allows full control over FVG colors, extension length, minimum impulse size, and how many of the most recent FVGs remain on the chart. It is designed to reduce noise by showing FVGs only where price displacement suggests meaningful imbalance rather than marking every gap indiscriminately.
Pine Script® インジケーター
andrew_blichaszの投稿
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points. Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short). ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands). MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below). How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish). Sell ​​(Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
Pine Script® インジケーター
mehmetbezgincanの投稿
Risk & Lot Calculator PanelFXMANS Risk & Lot Panel Smart Risk Management Tool for TradingView - Overview FXMANS Risk & Lot Panel is a lightweight and professional risk management tool designed to help traders calculate position size (lot) and take-profit levels directly on the chart, without cluttering the screen. The panel is displayed as a minimal table in the top-right corner of the chart and automatically adapts to the currently opened symbol. This tool focuses on clarity, precision, and usability, making it suitable for scalpers, day traders, and swing traders. - Key Features Automatic Direction Detection The script can automatically determine BUY or SELL direction based on: Entry Price Stop Loss Price Logic: Stop Loss below Entry → BUY Stop Loss above Entry → SELL Manual override is available if auto direction is disabled. Risk-Based Lot Size Calculation Calculates position size based on: User-defined risk amount in USD Distance between Entry and Stop Loss Symbol-specific tick size and point value Ensures consistent risk management across all markets. Automatic Take Profit (RR Based) Take Profit is calculated automatically using a predefined Risk / Reward (RR) ratio. Supports both BUY and SELL scenarios. - Symbol-Aware Calculation Uses TradingView’s built-in symbol properties: syminfo.mintick syminfo.pointvalue Works correctly on: Forex Indices Metals Crypto - Minimal & Non-Intrusive UI Small, fixed panel located at the top-right corner Designed to avoid covering price action Clean FXMANS-style color palette - Safe Panel Size Control Panel size can be adjusted from settings: Small Medium Large Size changes are handled without modifying layout geometry, preventing UI bugs. - How It Works Enter your Entry Price and Stop Loss Price Define your Risk Amount ($) Set your desired Risk / Reward ratio The script automatically calculates: Trade Direction (BUY / SELL) Lot Size Take Profit Level All results are displayed instantly in the panel - Example Use Case Risk: $100 Entry: 1.0850 Stop Loss: 1.0800 RR: 2.0 - The panel will automatically display: Direction: BUY Lot Size adjusted to risk exactly $100 Take Profit at 2R - Important Notes Entry and Stop Loss prices must be valid (greater than zero). The tool does not place trades automatically. Calculations are for position sizing only and may vary slightly depending on broker specifications. - Disclaimer This script is intended for educational and analytical purposes only. Trading involves risk, and users are responsible for their own trading decisions. - Ideal For Traders who follow strict risk management rules Forex, crypto, and index traders Scalpers and intraday traders Anyone who wants clean and fast position sizing on TradingView
Pine Script® インジケーター
FXmansの投稿
Dual-Scale MACDDual-Scale MACD is a dual-timeframe momentum indicator that displays a scaled short-term MACD together with a long-term MACD in the same pane. The short-term MACD can be amplified by a configurable scale ratio, allowing its momentum structure to be visually aligned with the long-term MACD. All EMA parameters are fully configurable, making this indicator suitable for experimentation with multi-cycle momentum resonance. Features Two independent MACD systems (short-term + long-term) Fully configurable EMA parameters Adjustable scale ratio for visual alignment Clean histogram + top-layer signal line Use cases Multi-cycle momentum comparison Trend confirmation & divergence analysis Studying MACD resonance across time scales This indicator is intended for analytical and educational purposes.
Pine Script® インジケーター
flyingcow8の投稿
Infinity Silver Cycle Map - 9-Point ProgrammableInfinity Silver Cycle Map — 9-Point Programmable + Inversion + 4MA is a time-structure overlay built to help visualize repeating rhythm in Silver by mapping a fixed-length cycle (default 42 bars) into 9 programmable pivot zones (P1–P9). This script does not predict price or claim performance. Its purpose is to make cycle timing visible and testable in replay by plotting consistent time-based reference points that traders can compare against historical swing behavior. What this script does Draws a repeating cycle framework You define a Cycle Length (bars) and 9 point offsets inside that cycle. The script then draws: Past cycles (faded) The current cycle The next cycle (projection) Highlights timing windows (optional) Each pivot can display a ± bar tolerance window so you can treat pivots as zones instead of exact “one-bar” events. Plots 4MA and 4MA (optional) A 4-period moving average and its prior value are plotted as a compact trend/inflection reference. This is included as context, not as a standalone entry/exit system. Displays a small status table Shows the script name, cycle settings, directional bias label, inversion state, and the anchor value. Optional symbol-lock If enabled, outputs can be hidden unless the chart symbol looks like Silver (e.g., XAG / SI), preventing accidental use on unrelated tickers. How it works (concepts behind the calculations) A) Cycle mapping (bar-count time structure) This indicator uses bar-based cycle segmentation: A “cycle” is treated as a repeating span of N bars (default 42). Pivot points are expressed as bar offsets inside that cycle (P1–P9). Each pivot is then projected backward (past cycles) and forward (next cycle) to create a repeating time grid. This is a time alignment tool: it measures where we are in the cycle and makes those timing landmarks visible. B) Directional state (minimal / stable) The Bias label (LONG / SHORT / STAND ASIDE) is derived from simple agreement checks: Price relative to a short mean (SMA of close) A smoothed RSI line vs its signal line If both conditions align bullish → LONG If both align bearish → SHORT Otherwise → STAND ASIDE C) Inversion toggle (presentation switch) “Invert Bias” flips LONG ↔ SHORT. This is provided to support alternative interpretations or testing workflows; it does not change the cycle map itself. How to use it Start by calibrating the cycle Set Cycle Length and P1–P9 offsets to match the time structure you observe in Silver. Use Past Cycles to visually verify whether swings tend to cluster near certain pivot zones. Treat pivots as timing zones Enable ± Timing Window and set tolerance (± bars) to account for real-world variation. Use pivots as “attention zones” where trend continuation or reversal is more likely to occur in time. Use 4MA as context The 4MA and 4MA lines help you see whether price is accelerating, flattening, or inflecting as a pivot zone approaches. Use Bias as a filter, not a promise Bias is best used as a lightweight “state label” when reviewing cycle behavior, not as a standalone trade trigger. Notes & limitations This is a time-based framework, so behavior will differ across timeframes and Silver tickers. Pivot placement is intentionally user-controlled; the script does not auto-optimize points. This tool provides structure and context; it does not place trades and does not provide financial advice.
Pine Script® インジケーター
Dinjinの投稿
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes. Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode: Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes. Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100). Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves. Key Features: Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture". Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average. Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading. How to Use: Select your preferred Trading Mode in the settings. Enable HTF Background to visualize the dominant trend from a higher timeframe. Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Pine Script® インジケーター
Apex-Walletの投稿
True FVGs v2This script identifies and plots true Fair Value Gaps (FVGs) using a strict three-candle structure, distinguishing between two formation types while accounting for doji candles. It draws shaded boxes to represent untraded price imbalances, with Type A and Type B gaps defined by precise wick-to-body and body-to-body relationships that reflect institutional price displacement. The indicator allows the user to control how far each FVG extends and how many recent FVGs remain visible, keeping the chart clean and relevant. This is helpful because it highlights high-probability areas where price is likely to react, enabling more precise trade planning, entries, and risk management without visual clutter. It expands on the first script (True FVGs) and allows for a more controlled design fitting each trader's desires.
Pine Script® インジケーター
andrew_blichaszの投稿
Prop Safety Filter - Dynamic SizeListen, we all know the market gets too fast sometimes. This scrypt lets you set your personal daily loss limit and helps you guess when market conditions will let you trade up to 4 trades without blowing your PDLL. You earnetly can still trade if the screen goes red, but the suggestion is if you do, trade smaller. Tell it how many micros you're trading and this script uses ATR to determine if the individual candles are too wild or not for you to hold a trade with a reasonably small stop loss. I "wrote" this script with Gemini, so if you have any issue with it, have gemini rewrite it for you, no problem.
Pine Script® インジケーター
TradingNicholsの投稿
BTC Correlation multiframesBTC Correlation indicator for scalping. Shows real-time correlation between the current asset and Bitcoin across three timeframes (30m, 1H, 4H), regardless of the chart timeframe you're viewing. Green indicates strong positive correlation (asset follows BTC), yellow shows independence (ideal for scalping without BTC influence), and red indicates inverse correlation. Perfect for quick identification of whether your scalping target is moving independently from Bitcoin's price action. The indicator compares percentage changes of the current candle in each timeframe, providing instant visual feedback on correlation strength through color-coded values.
Pine Script® インジケーター
Nikrostrategyの投稿
BOS 5m Session (NY Time)BOS (Break of Structure) indicator designed for strict 5-minute intraday trading. The script identifies valid swing structures using a strict two-candle pattern (bullish → bearish for highs, bearish → bullish for lows) and tracks breaks only by candle close. Key features: • Works exclusively on the 5-minute timeframe • Fixed New York time zone • Session modes: Asia, London, New York, and ALL • ALL mode resets at the end of New York main session (17:00 NY) • Trend-only logic — only one BOS line is displayed at a time • No repainting, no doji logic, no extra signals • Visual customization (colors, width, line length) Custom versions: If you are interested in a custom version (additional filters, alerts, different logic, or private access), feel free to contact me directly.
Pine Script® インジケーター
Nicolasiosの投稿