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Williams Alligator Spread Oscillator (WASO)Short description (About box) Williams Alligator Spread Oscillator (WASO) converts Bill Williams’ Alligator into a 0–100 oscillator that measures the average distance between Lips/Teeth/Jaw relative to ATR. High = expansion/trend (default), low = compression/range — making sideways markets easier to spot. Includes adaptive normalization, configurable thresholds, background shading, and alerts. Full description (Description field) What it does The Williams Alligator Spread Oscillator (WASO) transforms Bill Williams’ Alligator into a single, adaptive 0–100 scale. It computes the average pairwise distance among the Alligator lines (Lips/Teeth/Jaw), normalizes it by ATR and a rolling min–max window, and smooths the result. This makes the signal robust across symbols and timeframes and explicitly improves detection of sideways (ranging) conditions by highlighting compression regimes. Why it helps Sideways detection made easier: Low WASO marks compressed regimes that commonly align with consolidation/range phases, helping you identify chop and plan breakout strategies. Trend/expansion clarity: High WASO indicates the Alligator lines are widening relative to volatility, pointing to trending or expanding conditions. You can flip the direction if you prefer “High = Range.” How it is calculated (plain English) Smooth price with RMA (SMMA-like) to get Jaw, Teeth, Lips. Compute the average pairwise distance between these three lines. Divide by ATR to remove price-scale effects. Normalize with a rolling min–max window to map values to 0–100. Optionally apply EMA smoothing to the oscillator. Key settings Jaw/Teeth/Lips Lengths: Alligator periods (SMMA-like via ta.rma). ATR Length: Volatility benchmark for scaling. Normalization Lookback: Longer = steadier; shorter = more responsive. Smoothing (EMA): Evens out noise. High Value = Large Spread (Trend): Toggle to invert semantics. Upper/Lower Thresholds: 70/30 are practical starting points. Signals / interpretation Sideways / Compression (easier to spot): Default direction: WASO below Lower Threshold (e.g., <30). With inverted direction OFF: WASO above Upper Threshold (e.g., >70). Trend / Expansion: Default direction: WASO above Upper Threshold (e.g., >70). With inverted direction OFF: WASO below Lower Threshold (e.g., <30). Midline (50): Neutral zone; flips around 50 can hint at regime shifts. Alerts included Range Start (sideways/compression) Trend Start (expansion/trend) Notes & limitations This implementation omits the classic forward shift of Alligator lines to keep signals usable on live bars. If market behavior shifts (very quiet or very volatile), tune Lookback and ATR Length. Combine WASO with breakout levels or momentum filters for entries/exits. Credits & disclaimer Inspired by Bill Williams’ Alligator. For educational purposes only. Not financial advice. Release Notes (v1.0): Initial release of Williams-Alligator Spread Oscillator (WASO) with ATR-based scaling and adaptive 0–100 normalization. Direction toggle (High = Trend by default), adjustable thresholds, background shading, and two alert conditions.
Pine Script®指標
由Seaman88提供
MTF TR HelperThe “MTF TR Helper” is a TradingView indicator that displays TC888’s Time Rotation (TR) slots for the London and New York sessions. It’s designed for intraday traders who want precise timing references based on TC888’s method. It marks expert-level (orange) and sweetspot (green) TR timings directly on the chart using small visual cues. These slots help identify potential points of interest during active market hours. The script is optimized for lower timeframes and automatically filters out markers on higher timeframes to reduce clutter. Key Features: • 🔶 Orange lines = Expert TR slots (per TC888) • 🟢 Green lines = Sweetspot TR slots (per TC888) • ⚪ Dots = Hourly rotation points, including new 4-hour bars • 📈 Works best on 1m and 5m charts; adapts visibility based on timeframe • 🕒 Built on London and New York time zone references This tool follows the timing logic of TC888, offering a clean and practical way to stay aligned with key session-based rotations.
Pine Script®指標
由peakintent提供
ダウ理論　Dow Theory – Slim HH/LL Labels + BOS/CHOCH + Trend (TAKA)ダウ理論の相場構造を“見える化”するインジケーター。 HH/LL（必要ならHL/LH）を自動ラベル化＋ジグザグ描画、BOS/CHOCHを検出。 右上に Uptrend / Downtrend / Range を常時表示。全時間足・全銘柄対応。 ■主な機能 ・HH/LL（間引き可）＋ジグザグ ・BOS（Break of Structure）/ CHOCH（転換）通知 ・小波の自動フィルタ：変化率(%) と ATR× ・ADXフィルタでレンジ時の誤判定を抑制 ・ライト/ダーク両モード視認性調整 ■使い方（主要パラメータ） ・Pivot left/right：スイング感度（数値↑＝ゆっくり＆精度高め） ・Only HH/LL：要所だけ表示 ・Min % / ATR×：小さすぎる波を間引き ・ADX 閾値：20〜25推奨（レンジ多い銘柄は上げる） ・表示ラベル上限：古いラベルを自動整理 ■注意 ・ピボットは right 本分が経過してから確定（確定足ベース） ・アラートは「Any alert()」で有効化 押し目買い/戻り売りの型づくり、構造学習、シナリオ共有に。 Granville × Dow Theory 併用推奨。 上位足でEMAトレンド（20/30/40）を確認、 下位足では本インジのHL/LH→HH/LLの継続サインを待って、EMA帯の押し/戻りで入る。 ＝グランビル#2（押し目買い）/#6（戻り売り）を“構造＋平均線”の合流で狙う運用。 Dow Theory structure visualizer (indicator, not a strategy). Auto labels HH/LL (optional HL/LH), draws a zigzag, detects BOS/CHOCH, and shows Uptrend/Downtrend/Range at the top-right. Works on all timeframes & symbols. ■ Features - HH/LL labels (filterable) + zigzag - BOS (Break of Structure) / CHOCH alerts - Noise filtering by % change and ATR multiplier - ADX filter to suppress signals during ranges - Optimized for light/dark modes ■ How to use (key inputs) - Pivot left/right: swing sensitivity (higher = slower/cleaner) - Only HH/LL: show key swings only - Min % / ATR×: ignore tiny swings - ADX threshold: 20–25 recommended - Max labels: auto prune old labels ■ Notes - Pivots confirm after ‘right’ bars (confirmed on closed bars) - Enable alerts via “Any alert()” Ideal for buy-the-dip / sell-the-rally planning and structure training Granville × Dow Theory recommended. Confirm the higher-timeframe EMA trend (20/30/40), then on the lower timeframe wait for this indicator’s continuation signal—HL→HH in uptrends or LH→LL in downtrends—and enter on pullbacks/returns to the EMA band. In short, target Granville #2 (buy the dip) and #6 (sell the rally) at the confluence of structure + moving averages
Pine Script®指標
由UMIBOUZU_TAKA提供
PulseWave StrategyThe PulseWave Strategy is designed to identify trend-aligned momentum bursts in price action, using a combination of EMA trend filters, RSI momentum, and volume surge detection. 📌 Features – Dual EMA crossover for trend direction – RSI filter to avoid overbought/sold traps – Volume surge detection to catch market "pulses" – ATR-based trailing exit and trend-reversal stop ⚙️ Inputs You Can Customize – EMA lengths – RSI period and thresholds – Volume surge sensitivity – ATR length and trailing logic 📈 Backtest Sample (BTCUSD 1h) – Return: +127% – Win Rate: 54% – Max Drawdown: 18% – Period: Jan 2023 – Oct 2025 (Replace with your actual test results) 🔧 Built for educational use. Always validate on your own data and strategy framework before using live. ⚠️ Disclaimer This tool is for research and educational purposes only. It is not financial advice. Trade responsibly and use proper risk management.
Pine Script®策略
由Markking77提供
Ichimoku PourSamadi Signal [TradingFinder] KijunSen Magic Number🔵 Introduction The Ichimoku Kinko Hyo system is one of the most comprehensive market analysis tools ever created. Developed by Goichi Hosoda, a Japanese journalist in the 1930s, its purpose was to allow traders to recognize the balance between price, time, and momentum at a single glance. (In Japanese, Ichimoku literally means “one look.”) At the core of the system lie five key components: Tenkan-sen (Conversion Line), Kijun-sen (Baseline), Chikou Span (Lagging Line), and the two leading spans, Senkou Span A and Senkou Span B, which together form the well-known Kumo or cloud representing both temporal structure and equilibrium zones in the market. Although Ichimoku is commonly used to identify trends and support/resistance levels, a deeper layer of time philosophy exists within it. Ichimoku was not designed solely for price analysis but equally for time analysis. In the classical model, the numerical cycles 9, 26, 52 reflect the natural rhythm of the market originally based on the Tokyo Stock Exchange’s trading schedule in the 1930s. These values repeat across the system’s calculations, forming the foundation of Ichimoku’s time symmetry where price and time ultimately seek equilibrium. In recent years, modern analysts have explored new approaches to extract time-based turning points from Ichimoku’s structure. One such approach is the analysis of flat segments on the Kijun-sen and Senkou B lines. Whenever one of these lines remains flat for a period, it signals temporary balance between buyers and sellers; when the flat breaks, the market exits equilibrium and a new cycle begins. This indicator is built precisely upon that philosophy. Following the timing methodology introduced by M.A. Poursamadi, the focus shifts away from price signals and line crossovers toward identifying flat periods on Kijun-sen (period 52) as time anchors. From the first candle that changes the line’s slope, the tool begins a temporal count using a fixed sequence of key numbers: 5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90. Derived from both classical Ichimoku cycles and empirical testing, these numbers mark potential timing nodes where a market wave may end, a correction may begin, or a new leg may form. Thus, this method serves not merely as another Ichimoku tool but as a temporal metronome for market structure a way to visualize moments when the market is ready to change rhythm, often before candles reveal it. 🔵 How to Use The Kijun Timing BoX is built entirely on Ichimoku’s concept of time analysis. Its core idea is that within every flat segment of the Kijun-sen, the market enters a temporary balance between opposing forces. When that flat breaks, a new time cycle begins. From that first breakout candle, the indicator starts counting forward through the predefined time sequence(5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90). This counting framework creates a temporal map of market behavior, where each number represents an area where meaningful price fluctuations often occur. A “meaningful fluctuation” does not necessarily imply reversal or continuation; rather, it marks a moment when the market’s internal energy balance shifts, typically visible as noticeable reactions on lower timeframes. 🟣 Identifying the Anchor Point The first step is recognizing a valid flat zone on the Kijun-sen. When this line remains flat for several candles and then changes slope, the indicator marks that bar as the Anchor, initiating the time count. From that point onward, vertical gray lines appear at each interval in the key-number sequence, visualizing the time nodes ahead. 🟣 Reading the Timing Lines Each numbered line represents a timing node a temporal point where a change in price rhythm is statistically more likely to occur. At these nodes, the market may : Enter a consolidation or minor correction phase. Develop range-bound movement. Or simply alter the speed and intensity of its move. These behaviors do not imply a specific direction; they only highlight zones where time-based activity tends to cluster, giving traders a clearer view of cyclical rhythm. 🟣 Applying Time Analysis The indicator’s primary use is to observe temporal order, not to predict price direction. By tracking the distance between Anchors and the reactions that appear near major timing lines, traders can empirically identify each market’s characteristic rhythm—its own time DNA. For example, one asset may consistently show significant fluctuations around the 13- and 26-bar marks,while another might react closer to 9 or 52. Recognizing such patterns helps traders understand how long typical cycles last before new phases of volatility emerge. 🟣 Combining with Other Tools The indicator does not generate buy/sell signals on its own. Its best use is in combination with price- or structure-based methods, to see whether meaningful price reactions occur around the same timing nodes. In practice, it helps distinguish structured time-based fluctuations from random, noise-driven moves an insight often overlooked in conventional market analysis. 🔵 Settings 🟣 Logical Settings KijunSen Period : Defines the baseline period used for timing analysis. Default = 52. It is the main line for detecting flats and generating time anchors. Flat Event Filter : Controls how flat segments are validated before triggering a new timing event. All : Every flat triggers a new Timing Box. Automatic : Only flats longer than the historical average are used (recommended). Custom : User manually defines the minimum flat length via Custom Count. Update Timing Analysis BoX Per Event : If enabled, a new Timing Box is drawn each time a new flat event occurs. If disabled, the box completes its 90-bar window before refreshing. 🟣 Ichimoku Settings TenkanSen Period : Defines the period for the Conversion Line (Tenkan-sen). Default = 9. KijunSen Period : Sets the standard Ichimoku baseline (not the timing line). Default = 26. Span B Period : Defines the period for Senkou Span B, the slower cloud boundary. Default = 52. Shift Lines : Offsets cloud projection into the future. Default = 26. 🟣 Display Settings Users can show or hide all Ichimoku lines Tenkan-sen, Kijun-sen, Chikou Span, Span A, and Span B as well as the Ichimoku Cloud. They can also customize the color of each element to match personal chart preferences and improve visibility. 🔵 Conclusion This analytical approach transforms Ichimoku’s time philosophy into a visual and measurable framework. A flat Kijun-sen represents a moment of market equilibrium; when its slope shifts, a new temporal cycle begins. The purpose is not to forecast price direction but to highlight periods when meaningful fluctuations are more likely to develop. Through this perspective, traders can observe the hidden rhythm of market time and expand their analysis beyond price into a broader time-cycle dimension. Ultimately, the method revives Ichimoku’s original principle: the market can only be truly understood through the simultaneous harmony of price, time, and balance.
Pine Script®指標
由TFlab提供
EMAグランビルの法則トレンドラベル（右上固定） Granville’s Law EMA Trend TAKAグランビルの法則に基づくマルチEMAトレンド判定スクリプト。 複数のEMAの傾きと位置関係から上昇／下降トレンドを自動検出し、 右上にラベルで表示。押し目買い・戻り売り判断の補助に最適。 Granville-based multi-EMA trend label indicator. Automatically detects uptrend / downtrend from EMA alignment and slope, and displays a label at the top-right. Ideal for buy-the-dip / sell-the-rally confirmation.
Pine Script®指標
由UMIBOUZU_TAKA提供
No Supply (Low-Volume Down Bars) — IdoThis indicator flags classic Wyckoff/VSA “No Supply (NS)” events—down bars that print on unusually low volume, suggesting a lack of sellers rather than strong selling pressure. NS often appears near support, LPS, or within re-accumulation ranges as a test before continuation higher. Signal definition (configurable): Down bar: choose Close < PrevClose or Close < Open. Low volume: Volume < SMA(Volume, len) × threshold (e.g., 0.7). Optional volume lower than the prior two bars (reduces noise). Optional narrow spread: range (H–L) below its average. Optional close position: close in the upper half of the bar. Optional trend filter: only mark NS above or below an EMA (or any). Optional wide-bar exclusion: skip unusually wide bars. Visuals & outputs Blue dot below each NS bar (optional bar tint). Separate pane showing Relative Volume (vol / volSMA) to gauge effort. Built-in alertcondition to trigger notifications when NS prints. Inputs (high level) lenVol: Volume SMA length. ratioVol: Volume threshold vs. average (e.g., 0.7 = 70%). usePrev2: Require volume below each of the prior two bars. useNarrow + lenRange + ratioRange: Narrow-bar filter. useClosePos + minClosePos: Close in upper portion of the bar. downBarMode: Define “down bar” logic. trendFiltOn, trendLen, trendSide: EMA trend filter. useWideFilter, lenRangeWide, wideThreshold: Skip wide bars. How to use (Wyckoff/VSA context) Treat NS as a test of supply: price dips, but volume is light and close holds up. Stronger when it prints near support/LPS within a re-accumulation structure. Confirmation (recommended): within 1–3 bars, see demand—e.g., break above the NS high with expanding volume (above average or above the prior two bars). Many traders place a buy-stop just above the NS high; common stops are below the NS low or the most recent swing low. Scanning tip TradingView’s stock screener can’t consume Pine directly. Use a Watchlist Custom Column that reports “bars since NS” to sort symbols (0 = NS on the latest bar). A companion column script is provided separately. Notes & limitations Works on any timeframe (intraday/daily/weekly), but context matters. Expect false positives around news, gaps, or illiquid symbols—combine with structure (trend, S/R, phases) and risk management. © moshel — Educational use only; not financial advice.
Pine Script®指標
由moshel提供
Multi-Timeframe MA - TCMasterThis indicator displays up to four moving averages from different timeframes on a single chart. It’s designed for traders who want to track higher-timeframe trends while analyzing price action on lower timeframes — a key technique in multi-timeframe confluence trading. You can freely customize the type, length, timeframe, and color for each moving average line. ⚙️ Features 4 configurable Moving Averages (each with its own type, length, and timeframe). Supported types: SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA. Real-time values are fetched from higher timeframes using request.security() (no repaint). Individual visibility toggle and line width for each MA. Dynamic info label shows current distance between price and each MA. Built with Pine Script v6, ensuring optimal performance and flexibility. 📊 Typical Use Cases Identify trend direction across multiple timeframes. Confirm entries/exits using higher timeframe trend alignment. Spot potential reversal or continuation zones when short-term price interacts with long-term MAs. Build confluence setups for swing, scalp, or intraday strategies. 🧠 Example Setup MA Type Length Timeframe Purpose MA #1 SMA 200 1m Micro trend MA #2 EMA 200 5m Short-term trend MA #3 EMA 200 15m Medium trend MA #4 SMA 200 30m Macro trend 🔔 Tips Combine with oscillators (e.g., RSI, Stoch, MACD) for stronger confluence. Use color coding to distinguish short vs long timeframe trends. Consider adding alerts when price crosses any MA (can be extended easily in code). ⚠️ Notes All higher-timeframe data is handled safely using lookahead=barmerge.lookahead_off to prevent repainting. Label updates only on the latest bar for efficiency. VWMA, DEMA, TEMA, and HMA are computed via internal formulas for compatibility with Pine Script v6. 🏁 Summary Multi-Timeframe MA is a powerful tool for traders who want to merge the clarity of moving averages with the precision of multi-timeframe analysis. It helps you see the bigger picture without switching charts — perfect for intraday, swing, and trend-following strategies.
Pine Script®指標
由TCMaster提供
Multi-Timeframe MA - TCMaster🧩 Overview This indicator displays up to four moving averages from different timeframes on a single chart. It’s designed for traders who want to track higher-timeframe trends while analyzing price action on lower timeframes — a key technique in multi-timeframe confluence trading. You can freely customize the type, length, timeframe, and color for each moving average line. ⚙️ Features 4 configurable Moving Averages (each with its own type, length, and timeframe). Supported types: SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA. Real-time values are fetched from higher timeframes using request.security() (no repaint). Individual visibility toggle and line width for each MA. Dynamic info label shows current distance between price and each MA. Built with Pine Script v6, ensuring optimal performance and flexibility. 📊 Typical Use Cases Identify trend direction across multiple timeframes. Confirm entries/exits using higher timeframe trend alignment. Spot potential reversal or continuation zones when short-term price interacts with long-term MAs. Build confluence setups for swing, scalp, or intraday strategies. 🧠 Example Setup MA Type Length Timeframe Purpose MA #1 SMA 200 1m Micro trend MA #2 EMA 200 5m Short-term trend MA #3 EMA 200 15m Medium trend MA #4 SMA 200 30m Macro trend 🔔 Tips Combine with oscillators (e.g., RSI, Stoch, MACD) for stronger confluence. Use color coding to distinguish short vs long timeframe trends. Consider adding alerts when price crosses any MA (can be extended easily in code). ⚠️ Notes All higher-timeframe data is handled safely using lookahead=barmerge.lookahead_off to prevent repainting. Label updates only on the latest bar for efficiency. VWMA, DEMA, TEMA, and HMA are computed via internal formulas for compatibility with Pine Script v6. 🏁 Summary Multi-Timeframe MA is a powerful tool for traders who want to merge the clarity of moving averages with the precision of multi-timeframe analysis. It helps you see the bigger picture without switching charts — perfect for intraday, swing, and trend-following strategies.
Pine Script®指標
由TCMaster提供
Quant Trend + Donchian (Educational, Public-Safe)What this does Educational, public-safe visualization of a quant regime model: • Trend : EMA(64) vs EMA(256) (EWMAC proxy) • Breakout : Donchian channel (200) • Volatility-awareness : internal z-scores (not plotted) for concept clarity Why it’s useful • Shows when trend & breakout align (clean regimes) vs conflict (chop) • Helps explain why volatility-aware systems size up in smooth trends and scale down in noise How to read it • EMA64 above EMA256 with price near/above Donchian high → trend-following alignment • EMA64 below EMA256 with price near/below Donchian low → bearish alignment • Inside channel with EMAs tangled → range/chop risk Notes • Indicator is educational only (no orders). • Built entirely with TradingView built-ins. • For consistent visuals: enable “Indicator values on price scale” and disable “Scale price chart only” in Settings → Scales .
Pine Script®指標
由Algorific提供
HTF Candle Overlay (Boxes + Wicks) 1hr / SolalDescription: This indicator lets you visualize higher time frame (HTF) candles directly on a lower time frame chart. It draws each HTF candle as a transparent box (the body) with wicks extending to the high and low. The boxes automatically update as each higher time frame candle forms and remain fixed once the candle closes. You can choose any higher time frame (e.g., 1H, 4H, 1D) while trading on lower intervals (like 1m, 5m, 15m) to see key market structure and price zones. Features: Display candles from any higher time frame on your current chart. Customizable colors for bullish and bearish candles. Adjustable transparency, border and wick thickness. History depth setting to control how many past HTF candles are displayed. No repainting — candles stay fixed once closed. Use case: Ideal for traders who want to monitor higher time frame price action (support/resistance, trend direction) without switching chart time frames.
Pine Script®指標
由solalrodriguez提供
Candle Color [AY¹]Visually highlight specific time periods with custom colors on intraday charts. Ideal for session-based traders who want to emphasize New York, London or any custom trading hours. Developed by AY¹ Candle Color Highlighter A simple yet powerful intraday visualization tool that colors candles or chart background during your chosen trading sessions. Perfect for traders who rely on time-based confluences — such as ICT, SMC, or session scalping frameworks. 🔧 Key Features ✅ Highlight up to four custom time periods (e.g. London Open, NY Open, Lunch Hour, etc.) ✅ Supports multiple highlight styles:  • Bar Color only  • Background only  • Both ✅ Full timezone control (Exchange, UTC, New York, London, Tokyo, or custom UTC+3) ✅ Works on all intraday timeframes or only those you select (1m–4h). ✅ Optional labels marking session starts. ✅ Integrated alerts when any period becomes active. ✅ Informative status table showing timezone, timeframe, and active period. 🕒 Use Cases Highlight New York Killzone (07:30–09:30) or London Open (02:00–03:00) Separate different liquidity windows Emphasize your backtest periods Combine with volume, displacement, or structure indicators for time-based confluence setups 🎨 Customization Each of the four configurable periods allows you to choose: Start/End time Custom color and transparency Session label visibility Highlight style preference 💡 Example Setup Period Session Time Color Notes Period 1 02:00–03:00 Magenta London Killzone Period 2 07:30–08:30 Yellow NY Pre-market Period 3 08:30–09:30 Blue NY Open Period 4 09:30–10:00 Green Initial Balance
Pine Script®指標
由MATISAY提供
VERITAS originale## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications** ### **The Non-Parallelism Principle: Mathematical Foundation** The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages. **Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel. **Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average. ### **System Energy: Derivation from Curvature** It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**. **Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context: - **Potential energy** = Distance between moving average and its regression - **Kinetic energy** = Speed of approach or separation between the two curves - **Total system energy** = Sum of potential and kinetic energy **Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point. ### **The Hierarchical Rolling Principle** The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory. **Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages. **Propagation mechanism:** 1. **Macro level** (long averages): Change in direction of principal forces 2. **Medium level** (intermediate averages): Signal transmission 3. **Micro level** (short averages): Final manifestation of the change ### **Derived Strategic Formations** This hierarchical rolling allows us to identify **important formations** for the strategy: **Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created. **Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement. **Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance. ### **Strategic Implications** These theoretical principles translate into concrete operational advantages: 1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements 2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points 3. **Risk management:** Understanding system energy allows proper position sizing The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
Pine Script®指標
由Ninocaprini提供
1
Multi-TF FVG Kerze Break AlertHere's a breakdown of the key files: App.tsx: This is the main component that orchestrates the entire user interface. It manages the application's state, including the input Pine Script, the selected target language, the resulting converted code, and the loading/error states. services/geminiService.ts: This file handles all communication with the Google Gemini API. It takes the Pine Script and the target language, constructs a detailed prompt instructing the AI on how to perform the conversion, sends the request, and processes the response. components/CodeEditor.tsx: A reusable UI component that provides a styled for both displaying the input Pine Script and the read-only output. constants.ts: This file centralizes static data. It contains the list of target languages for the dropdown menu and the default Pine Script code that loads when the application first starts. index.html & index.tsx: These are the standard entry points for the React application, responsible for setting up the web page and mounting the main App component. In essence, the application provides a user-friendly interface for developers to convert financial trading algorithms written in TradingView's Pine Script into other popular programming languages, leveraging the power of the Gemini AI model to perform the translation.
Pine Script®指標
由alpbektas72提供