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Tìm kiếm tập lệnh với "纳斯达克指数期货cfd"

Setup Cripto EMA + Volume//@version=5 indicator("Sinais Multi-Cripto – EMA+Volume (BTC/ETH/BNB/SOL/XRP)", overlay=false) // Inputs emaFast = input.int(50, "EMA Curta") emaSlow = input.int(200, "EMA Longa") emaPull = input.int(20, "EMA Pullback") volLen = input.int(20, "Média Volume") symBTC = input.symbol(defval="BINANCE:BTCUSDT", title="BTC") symETH = input.symbol(defval="BINANCE:ETHUSDT", title="ETH") symBNB = input.symbol(defval="BINANCE:BNBUSDT", title="BNB") symSOL = input.symbol(defval="BINANCE:SOLUSDT", title="SOL") symXRP = input.symbol(defval="BINANCE:XRPUSDT", title="XRP") f_sig(sym) => c = request.security(sym, timeframe.period, close) v = request.security(sym, timeframe.period, volume) e50 = ta.ema(c, emaFast) e200 = ta.ema(c, emaSlow) e20 = ta.ema(c, emaPull) vma = ta.sma(v, volLen) long = (e50 > e200) and (c > e20) and (v > vma) short = (e50 < e200) and (c < e20) and (v > vma) = f_sig(symBTC) = f_sig(symETH) = f_sig(symBNB) = f_sig(symSOL) = f_sig(symXRP) // Exibição plotchar(btcL, title="BTC Long", char="▲", location=location.top) plotchar(btcS, title="BTC Short", char="▼", location=location.bottom) plotchar(ethL, title="ETH Long", char="▲", location=location.top) plotchar(ethS, title="ETH Short", char="▼", location=location.bottom) plotchar(bnbL, title="BNB Long", char="▲", location=location.top) plotchar(bnbS, title="BNB Short", char="▼", location=location.bottom) plotchar(solL, title="SOL Long", char="▲", location=location.top) plotchar(solS, title="SOL Short", char="▼", location=location.bottom) plotchar(xrpL, title="XRP Long", char="▲", location=location.top) plotchar(xrpS, title="XRP Short", char="▼", location=location.bottom)
Chiến lược Pine Script®
bởi noemecastro
Pasrsifal.RegressionTrendStateSummary The Parsifal.Regression.Trend.State Indicator analyzes the leading coefficients of linear and quadratic regressions of price (against time). It also considers their first- and second-order changes. These features are aggregated into a Trend-State background, shown as a gradient color. In addition, the indicator generates fast and slow signals that can be used as potential entry- or exit triggers. This tool is designed for advanced trend-following strategies, leveraging information from multiple trendline features. Background Trendlines provide insight into the state of a trend or the “trendiness” of a price process. While moving averages or pivot-based lines can serve as envelopes and breakout levels, they are often too lagging for swing traders, who need tools that adapt more closely to price swings, ideally using trendlines, around which the price process swings continuously. Regression lines address this by cutting directly through the data, making them a natural anchor for observing how price winds around a central trendline within a chosen lookback period. Regression Trendlines • Linear Regression: o Minimizes distance to all closing values over the lookback period. o The slope represents the short-term linear trend. o The change of slope indicates trend acceleration or deceleration. o Linear regression lags during phases of rapid market shifts. • Quadratic Regression: o Fits a second-degree polynomial to minimize deviation from closing prices. o The convexity term (leading coefficient) reflects curvature:  Positive convexity → accelerating uptrend or fading downtrend.  Negative convexity → accelerating downtrend or fading uptrend. o The change of convexity detects early shifts in momentum and often reacts faster than slope features. Features Extracted The indicator evaluates six features: • Linear features: slope, first derivative of slope, second derivative of slope. • Quadratic features: convexity term, first derivative of the convexity term, second derivative of the convexity term. • Linear features: capture broad, background trend behavior. • Quadratic features: detect deviations, accelerations, and smaller-scale dynamics. Quadratic terms generally react first to market changes, while linear terms provide stability and context. Dynamics of Market Moves as seen by linear and quadratic regressions • At the start of a rapid move: The change of convexity reacts first, capturing the shift in dynamics before other features. The convexity term then follows, while linear slope features lag further behind. Because convexity measures deviation from linearity, it reflects accelerating momentum more effectively than slope. • At the end of a rapid move: Again, the change of convexity responds first to fading momentum, signaling the transition from above-linear to below-linear dynamics. Even while a strong trend persists, the change of convexity may flip sign early, offering a warning of weakening strength. The convexity term itself adjusts more slowly but may still turn before the price process does. Linear features lag the most, typically only flipping after price has already reversed, thereby smoothing out the rapid, more sensitive reactions of quadratic terms. ________________________________________ Parsifal Regression.Trend.State Method 1. Feature Mapping: Each feature is mapped to a range between -1 and 1, preserving zero-crossings (critical for sign interpretation). 2. Aggregation: A heuristic linear combination*) produces a background information value, visualized as a gradient color scale: o Deep green → strong positive trend. o Deep red → strong negative trend. o Yellow → neutral or transitional states. 3. Signals: o Fast signal (oscillator): ranges from -1 to 1, reflecting short-term trend state. o Slow signal (smoothed): moving average of the fast signal. o Their interactions (crossovers, zero-crossings) provide actionable trading triggers. How to Use The Trend-State background gradient provides intuitive visual feedback on the aggregated regression features (slope, convexity, and their changes). Because these features reflect not only current trend strength but also their acceleration or deceleration, the color transitions help anticipate evolving market states: • Solid Green: All features near their highs. Indicates a strong, accelerating uptrend. May also reflect explosive or hyperbolic upside moves (including gaps). • Fading Solid Green: A recently strong uptrend is losing momentum. Price may shift into a slower uptrend, consolidation, or even a reversal. • Fading Green → Yellow: Often appears as a dirty yellow or a rapidly mixing pattern of green and red. Signals that the uptrend is weakening toward neutrality or beginning to turn negative. • Yellow → Deepening Red: Two possible scenarios: o Coming from a strong uptrend → suggests a sharp fade, though the trend may still technically be up. o Coming from a weaker uptrend or sideways market → suggests the start of an accelerating downtrend. • Solid Red: All features near their lows. Indicates a strong, accelerating downtrend. May also reflect crash-type conditions or downside gaps. • Fading Solid Red: A recently strong downtrend is losing strength. Market may move into a slower decline, consolidation, or early reversal upward. • Fading Red → Yellow : The downtrend is weakening toward neutral, with potential for a bullish shift. • Yellow → Increasing Green: Two possible scenarios: o Coming from a strong downtrend, it reflects a sharp fade of bearish momentum, though the market may still technically be trending down. o Coming from a weaker downtrend or sideways movement, it suggests the start of an accelerating uptrend. Note: Market evolution does not always follow this neat “color cycle.” It may jump between states, skip stages, or reverse abruptly depending on market conditions. This makes the background coloring particularly valuable as a contextual map of current and evolving price dynamics. Signal Crossovers: Although the fast signal is very similar (but not identical) to the background coloring, it provides a numerical representation indicating a bullish interpretation for rising values and bearish for falling. o High-confidence entries:  Fast signal rising from < -0.7 and crossing above the slow signal → potential long entry.  Fast signal falling from > +0.7 and crossing below the slow signal → potential short entry. o Low-confidence entries:  Crossovers near zero may still provide a valid trigger but may be noisy and should be confirmed with other signals. o Zero-crossings:  Indicate broader state changes, useful for conservative positioning or option strategies. For confirmation of a Fast signal 0-crossing, wait for the Slow signal to cross as well. ________________________________________ *) Note on Aggregation While the indicator currently uses a heuristic linear combination of features, alternatives such as Principal Component Analysis (PCA) could provide a more formal aggregation. However, while in the absence of matrix algebra, the required eigenvalue decomposition can be approximated, its computational expense does not justify the marginal higher insight in this case. The current heuristic approach offers a practical balance of clarity, speed, and accuracy.
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bởi parsifaltrading
NYSE Advancing Issues & Volume RatiosOverview This comprehensive market breadth indicator tracks two essential NYSE ratios that provide deep insights into market sentiment and internal strength: NYSE Advancing Issues Ratio NYSE Advancing Volume Ratio Dual Ratio Analysis Issues Ratio: Measures the percentage of NYSE stocks advancing vs. total issues Volume Ratio: Measures the percentage of NYSE volume flowing into advancing stocks Both ratios displayed as easy-to-read percentages (0-100%) Customizable Display Options Toggle each ratio on/off independently Choose from multiple moving average types (SMA, EMA, WMA) Adjustable moving average periods Custom color schemes for better visualization Reference Levels 50% Line: Market neutral point (gray dashed) 10% Line: Extremely bearish breadth (red dotted) 90% Line: Extremely bullish breadth (green dotted) Optional background highlighting for extreme readings Smart Alerts Cross above/below 50% (neutral) for both ratios Extreme readings: Above 90% (strong bullish) and below 10% (strong bearish) Real-time notifications for key market breadth shifts 📈 How to Interpret Bullish Signals Above 50%: More stocks/volume advancing than declining Above 90%: Extremely strong market breadth (rare occurrence) Divergence: Price making new highs while breadth weakens (potential warning) Market Timing Extreme readings (10%/90%) often coincide with market turning points Breadth thrusts from extreme levels can signal powerful moves Use with other technical indicators for enhanced timing
Chỉ báo Pine Script®
bởi alex_yeo
Dual Stochastic with Trend FilterThe "Dual Stochastic with Trend Filter" is an oscillator indicator designed to provide clearer, trend-aligned trading signals. It uses two distinct stochastic oscillators to identify potential entry points and incorporates an optional EMA-based trend filter to ensure that you are trading in the direction of the broader market momentum. How It Works and How to Use It This indicator combines two key technical analysis concepts: momentum (via stochastics) and trend (via moving averages). Core Components: Dual Stochastic Oscillators: Signal Line 1 (Blue): A standard stochastic oscillator. Signal Line 2 (Red): A second stochastic oscillator, often using a different source (like hlcc4) to provide a smoother, more reliable signal. A buy signal is generated when the Blue Line (d1) crosses above the Red Line (d2). A sell signal is generated when the Blue Line (d1) crosses below the Red Line (d2). Trend Filter (Optional): This feature uses a fast and a slow Exponential Moving Average (EMA) to determine the overall market trend. When the fast EMA is above the slow EMA, the background will turn green, indicating an uptrend. When the fast EMA is below the slow EMA, the background will turn red, indicating a downtrend. This filter can be toggled on or off in the indicator settings. How to Use: With Trend Filter Enabled (Recommended): Long (Buy) Entry: Look for a green triangle buy signal (▲). This signal only appears when: The Blue Signal Line crosses above the Red Signal Line. The market is in a confirmed uptrend (green background). Short (Sell) Entry: Look for a red triangle sell signal (▼). This signal only appears when: The Blue Signal Line crosses below the Red Signal Line. The market is in a confirmed downtrend (red background). Exit Signal: A yellow circle (●) appears to suggest closing an open trade. This signal is triggered for a long position if either the stochastics have a bearish cross or the trend flips to a downtrend. Conversely, for a short position, it's triggered by a bullish stochastic cross or a trend flip to an uptrend. With Trend Filter Disabled: If you turn off the "Use Trend Filter" option, the indicator will function as a simple dual stochastic crossover system. A green triangle (▲) will appear every time the Blue Line crosses above the Red Line. A red triangle (▼) will appear every time the Blue Line crosses below the Red Line. The background coloring and exit signals based on trend flips will be deactivated. This mode is more sensitive but may produce more false signals in choppy markets. Key Visuals: Blue Line: The primary signal line. Red Line: The secondary, often smoother, signal line. Green Triangle (▲): Bullish entry signal. Red Triangle (▼): Bearish entry signal. Yellow Circle (●): Suggested trade exit/stop. Green/Red Background: Visual confirmation of the current uptrend or downtrend. By filtering stochastic signals with the dominant trend, this indicator helps traders avoid common pitfalls like entering short positions during a strong uptrend or buying into a bearish market. This alignment of momentum and trend is key to improving signal quality. Disclaimer This indicator is provided for educational and informational purposes only and should not be considered as financial advice or a recommendation to buy or sell any asset. All trading and investment decisions are your own sole responsibility. Trading financial markets involves a high level of risk, and you may lose more than your initial investment. Past performance is not indicative of future results. The signals generated by this indicator are not guaranteed to be accurate, and you should always use this tool in conjunction with other forms of analysis and sound risk management practices. Before using this indicator in a live trading environment, it is strongly recommended that you backtest it thoroughly and practice with it on a demo account. The author is not responsible for any financial losses you may incur from using this script.
Chỉ báo Pine Script®
bởi EkaSanatani
1
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios Summary This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry. ________________________________________ Overview Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry. • Anchors define the swing’s Low (L), High (H), and bar count (N). • The user manually enters the VPOC (highest-volume price). • The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement. The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments. ________________________________________ How to Use 1. Select a Swing - Place Anchor A and Anchor B to define the swing’s Low, High, and bar count. 2. Find the VPOC - Apply TradingView’s Fixed Range Volume Profile tool over the same swing. - Identify the Point of Control (POC) — the price level with the highest traded volume. 3. Enter the VPOC - Manually input the POC into the indicator settings. 4. Review Outputs - The table will display candidate ratios expressed mainly as price-per-bar values. 5. Apply in Practice - Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings. ________________________________________ Outputs Swing & Inputs • Bars (N): total bar count of the swing. • Low (L): swing low price. • High (H): swing high price. • ΔP = H − L: price range. • Mid = (L + H) ÷ 2: midpoint price. • VPOC (V): user-entered highest-volume price. • Base slope s0 = ΔP ÷ N: average change per bar. • π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry. ________________________________________ VPOC Harmony Ratios (L, H, V, N) • λ = (V − L) ÷ ΔP: normalized VPOC position within the range. • R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment. • s1 = (V − L) ÷ N: slope from Low → VPOC. • s2 = (H − V) ÷ N: slope from VPOC → High. ________________________________________ Blended Means (s1, s2) These combine the two segment slopes in different ways: • HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope. • GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally. • RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope. • L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined. ________________________________________ Slope Blends • Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²) • Tilted slope: s_tilt = s0 × (0.5 + λ) • Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = − ________________________________________ Curvature & Liquidity Extensions • π-arc × λ: s_arc = sπ × λ • Liquidity-π: s_piV = sπ × (V ÷ Mid) ________________________________________ Scale-Normalized Families With k = sqrt(H ÷ L): • k (scale factor) = sqrt(H ÷ L) • s_comp = s0 ÷ k: compressed slope candidate • s_exp = s0 × k: expanded slope candidate • Exponentiated blends: - s_kλ = s0 × k^(2λ−1) - s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618 - s_√2λ = s0 × (√2)^(2λ−1) ________________________________________ Practical Application All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement. These values are designed for: • Chart compression settings • Testing harmonic alignments across swings • Liquidity-aware scaling experiments ________________________________________
Chỉ báo Pine Script®
bởi geneclash
Inefficient Candle TrackerThe Inefficient Candle Tracker indicator highlights large, inefficient price moves and plots their midpoints as Squared Up Points. Detects large candles using Percentile or ATR multiple methods Draws dynamic dashed lines at candle midpoints until price “squares them up” Built-in alerts for new SUP creation and when levels are touched Great for spotting unfinished business in price action, confluence with support/resistance, and potential return levels.
Chỉ báo Pine Script®
bởi ianhay78
XAU 1H Clean Confluence — Micro Table v2XAU 1H Clean Confluence — Micro Table What it is A clean, low-clutter 1-hour XAUUSD indicator that summarizes confluences in a compact on-chart table. It’s designed for traders who want structure + momentum + location without covering the chart in drawings. Best used on: ICMARKETS:XAUUSD or your broker’s XAUUSD feed, 1H timeframe. Style: Table-only by default (optional EMA200 line and tiny signal markers). How signals are built (long example; shorts mirror) A Long Confluence is printed when all of the below are true: Trend alignment: EMA20 > EMA50 > EMA200 Pullback & re-engage: price crossed back above EMA20 after a pullback RSI regime: RSI(14) crosses up through 50 (trend confirmation) Displacement/imbalance: a 3-candle Bull FVG exists (low > high ) Structure: either a BOS up or CHOCH up via swing pivots (pivotLen input) Sweep (optional): if enabled, require a sweep of Asian Low and/or PDL first Time gating (optional): only during London/NY windows and outside news windows Short signals use the mirrored conditions (EMA stack down, cross back below EMA20, RSI cross down through 50, Bear FVG, BOS/CHOCH down, optional Asian High/PDH sweep).
Chỉ báo Pine Script®
bởi TroutyTrades
ICT Silver Bullet Zones (All Sessions)This Pine Script v6 indicator highlights the ICT Silver Bullet windows (10:00–11:00 local time) for all major forex/trading sessions: London, New York AM, New York PM, and Asia. ✅ Features: Clearly visualizes Silver Bullet zones for each session. Labels are centered inside each zone for easy identification. Fully compatible with Pine Script v6 and TradingView. Adjustable opacity and label size for better chart visibility. Works on any timeframe and keeps historical zones visible. Use Case: Perfect for ICT strategy traders who want to identify high-probability trading windows during major market sessions. Helps in planning entries and understanding liquidity timing without cluttering the chart. Instructions: Add the script to your TradingView chart. Adjust opacity and label size to suit your chart style. Observe the SB zones for all sessions and plan trades according to ICT methodology.
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bởi arshadali915
ICT Macro Time Window NYThis script highlights the typical ICT “macro” algorithm activity windows on your chart. It marks 10 minutes before to 10 minutes after each full hour, based on New York time (NY). The display is restricted to the 00:00 – 16:00 NY time range. Overlay on chart with semi-transparent background Automatically adjusts to the chart timeframe Customizable: window start/end minutes, hours, and background color Ideal for traders following ICT concepts to visually identify high-probability algorithm activity periods.
Chỉ báo Pine Script®
bởi pschloegl1