开始

图表形态

NDOG & NWOG - Liquidity + Sunday Box rroielDescription: This script combines NDOG & NWOG liquidity levels with a Sunday Box framework to provide traders with structured levels for weekly bias, liquidity mapping, and potential entry/exit zones. Features: • Automatic plotting of NDOG & NWOG liquidity zones. • Sunday Box (weekly open range) drawn to define structure and bias. • Highlights liquidity sweeps and retests for trade confirmation. • Configurable settings for box time, liquidity range, and display options. • Built to support ROI/EL strategies by aligning liquidity with weekly key levels. Use Case: Helps traders identify where price is likely to react by combining liquidity-based zones with the Sunday box framework. Designed for clarity, confluence, and efficiency in execution.
Pine Script®指标
由rroiel提供
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Pine Script®指标
由aiTrendview-Charting-System提供
Recovery StrategyDescription: The Recovery Strategy is a long-only trading system designed to capitalize on significant price drops from recent highs. It enters a position when the price falls 10% or more from the highest high over a 6-month lookback period and adds positions on further 2% drops, up to a maximum of 5 positions. Each trade is held for 6 months before exiting, regardless of profit or loss. The strategy uses margin to amplify position sizes, with a default leverage of 5:1 (20% margin requirement). All key parameters are customizable via inputs, allowing flexibility for different assets and timeframes. Visual markers indicate recent highs for reference. How It Works: Entry: Buys when the closing price drops 10% or more from the recent high (highest high in the lookback period, default 126 bars ~6 months). If already in a position, additional buys occur on further 2% drops (e.g., 12%, 14%, 16%, 18%), up to 5 positions (pyramiding). Exit: Each trade exits after its own holding period (default 126 bars ~6 months), regardless of profit or loss. No stop loss or take-profit is used. Margin: Uses leverage to control larger positions (default 20% margin, 5:1 leverage). The order size is a percentage of equity (default 100%), adjustable via inputs. Visualization: Displays blue markers (without text) at new recent highs to highlight reference levels. Inputs: Lookback Period for High Peak (bars): Number of bars to look back for the recent high (default: 126, ~6 months on daily charts). Initial Drop Percentage to Buy (%): Percentage drop from recent high to trigger the first buy (default: 10.0%). Additional Drop Percentage to Buy (%): Further drop percentage to add positions (default: 2.0%). Holding Period (bars): Number of bars to hold each position before selling (default: 126, ~6 months). Order Size (% of Equity): Percentage of equity used per trade (default: 100%). Margin for Long Positions (%): Percentage of position value covered by equity (default: 20%, equivalent to 5:1 leverage). Usage: Timeframe: Designed for daily charts (126 bars ~6 months). Adjust Lookback Period and Holding Period for other timeframes (e.g., 1008 hours for hourly charts, assuming 8 trading hours/day). Assets: Suitable for stocks, ETFs, or other assets with significant price volatility. Test thoroughly on your chosen asset. Settings: Customize inputs in the strategy settings to match your risk tolerance and market conditions. For example, lower Margin for Long Positions (e.g., to 10% for 10:1 leverage) to increase position sizes, but beware of higher risk. Backtesting: Use TradingView’s Strategy Tester to evaluate performance. Check the “List of Trades” for skipped trades due to insufficient equity or margin requirements. Risks and Considerations: No Stop Loss: The strategy holds trades for the full 6 months without a stop loss, exposing it to significant drawdowns in prolonged downtrends. Margin Risk: Leverage (default 5:1) amplifies both profits and losses. Ensure sufficient equity to cover margin requirements to avoid skipped trades or simulated margin calls. Pyramiding: Up to 5 positions can be open simultaneously, increasing exposure. Adjust pyramiding in the code if fewer positions are desired (e.g., change to pyramiding=3). Market Conditions: Performance depends on price drops and recoveries. Test on historical data to assess effectiveness in your market. Broker Emulator: TradingView’s paper trading simulates margin but does not execute real margin trading. Results may differ in live trading due to broker-specific margin rules. How to Use: Add the strategy to your chart in TradingView. Adjust input parameters in the settings panel to suit your asset, timeframe, and risk preferences. Run a backtest in the Strategy Tester to evaluate performance. Monitor open positions and margin levels in the Trading Panel to manage risk. For live trading, consult your broker’s margin requirements and leverage policies, as TradingView’s simulation may not match real-world conditions. Disclaimer: This strategy is for educational purposes only and does not constitute financial advice. Trading involves significant risk, especially with leverage and no stop loss. Always backtest thoroughly and consult a financial advisor before using any strategy in live trading.
Pine Script®策略
由tanmaychess提供
30 Min Pivot Enhanced# 30 Min Pivot Enhanced The **30 Min Pivot Enhanced** indicator detects pivot reversals and potential buy/sell signals on the 30-minute timeframe. It combines streak-based trend exhaustion with pivot breakouts and optional flush (capitulation) candle detection. ## Core Logic - Trend streaks: pivots form after consecutive same-color candles (`trendLength`) - Flush detection: oversized red candles (ATR based) flagged as potential exhaustion - Pivot candidates: - Bullish → after a red streak (or flush) followed by a green candle - Bearish → after a green streak followed by a red candle - Confirmation: price must break pivot high/low within `maxBarsAfterPivot` ## Inputs - Consecutive Trend Candles → streak length required for pivot - Maximum Bars After Pivot → confirmation window - Show Pivot Lines → toggle pivot levels on chart - Flush Detection → ATR-based capitulation detection - Flush Lookback → how many bars to keep flush valid - Enable Buy/Sell Alerts → toggle trade alerts ## Visuals - Buy pivots → green "P Buy" labels under price - Sell pivots → red pivot lines at lows (if enabled) - Flush markers → optional debug labels showing capitulation bars ## Alerts - Buy Alert → price breaks above pivot high - Sell Alert → price breaks below pivot low --- Best for traders watching **30-minute reversal plays**, especially where exhaustion or flush candles precede a breakout.
Pine Script®指标
由aniketsangwan5提供
ICT 00:00, 08:30 & 09:30 Opens (NY) ICT 00:00, 08:30 & 09:30 Opens (NY) Clean intraday reference levels for 0000, 0830, and 0930 anchored to America/New_York. Lines start at each session’s open and extend just a few bars past the last candle (configurable). Labels are text-only (0000, 0830, 0930), placed at the right end of each line and adjust as you change timeframes. Why these times? 0000 NY – daily anchor / session bias 0830 NY – common US data windows (CPI, NFP, claims) 0930 NY – US cash equity market open Features NY-time detection (works regardless of chart/exchange timezone; DST handled by TradingView) Right-padded stubs (no full-chart lines) Side labels at line tip (no bubbles, subtle opacity) History toggle → show Today only or Today + Prior Day (older lines/labels auto-pruned) Per-level styling: color · line style · width Visibility toggles for 0830 and 0930 Inputs 00:00 (NY): Style, Color, Width, Show Label 08:30 (NY): Display, Style, Color, Width, Show Label 09:30 (NY): Display, Style, Color, Width, Show Label Right Edge: Right Pad (bars) – how far the line extends beyond the latest bar Label Pad (bars) – extra space for the text to the right of the line History: Show Prior Day (History) – off = today only; on = today + yesterday Tips Works best on intraday charts (≤ 60m). If two levels are close, nudge Label Pad or vary colors/styles for clarity. Futures (ES/NQ/CL, etc.) remain NY-anchored even if the exchange is not. Notes Pine v5. Minimalist: no day dividers by design. Educational tool; not financial advice. Changelog Current: Added Show Prior Day (History) toggle; switched to right-padded stubs; labels moved to line tip and made text-only. License: MPL-2.0 © ALPHAICTRADER Keywords: ICT, New York midnight, 0830, 0930, NY open, session open, daily open, CPI open, cash open, levels, anchors, intraday, futures, forex, indices
Pine Script®指标
由FunkValue提供
Morrizen - EMA 7/25/99This indicator plots three Exponential Moving Averages (EMAs) with periods of 7, 25, and 99. The 7 EMA captures short-term momentum. The 25 EMA reflects medium-term trend direction. The 99 EMA highlights the broader, long-term trend. Traders often use the interaction between these EMAs to identify entry and exit signals, trend strength, and potential reversals. For example, when the shorter EMAs (7 or 25) cross above the 99 EMA, it may indicate bullish momentum; when they cross below, it may suggest bearish momentum.
Pine Script®指标
由poisonflask提供
HA Color Change Alerts (fixed v3)📌 Heikin Ashi Color Change Alerts This indicator notifies you whenever a Heikin Ashi candle changes color (from red → green or green → red). 🔎 Features Automatic Heikin Ashi calculation Uses TradingView’s built-in Heikin Ashi source, so you don’t need to switch your chart to HA candles. Signals on chart Plots ▲ (green triangle) when HA changes from red → green and ▼ (red triangle) when HA changes from green → red. Customizable alerts You can set TradingView alerts for: “Heikin Ashi Turned GREEN” “Heikin Ashi Turned RED” Options Show/Hide the Heikin Ashi candles on top of your normal chart. Choose whether alerts trigger only after bar close, or intrabar as soon as the color flips. Show or hide the signal markers. 🔔 Use cases Trend following: enter when HA flips to green, exit when it flips back to red. Early reversal spotting: get notified when the candle momentum shifts. Works on any symbol and timeframe.
Pine Script®指标
由shanezane8888提供