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60 신저가 숏_신저가“60-Day New Low Short (New Low)” is a momentum breakdown setup that sells short when price prints a fresh 60-day low, aiming to ride continued weakness after support fails. Enter on the breakdown close (or next open) with confirmation such as expanding volume, relative weakness vs. a benchmark, and price below the 50/200-day MAs. Manage risk with a stop above the recent swing high or 20-day high; take profits via ATR-based targets or a trailing stop, and be cautious around earnings/news catalysts.
Pine Script®指標
由makedeltatv2提供
Scalping, Swing Pro: Urban Towers + Bollinger(0.5)+ WMA by KidevThis indicator combines narrow Bollinger Bands (σ = 0.5) with a Weighted Moving Average (WMA-96) to provide traders with a reliable framework for identifying both short-term scalps and medium-term swing setups. Bollinger Bands (0.5σ): Traditional Bollinger Bands at 2σ cover ~95% of price movement, while 0.5σ bands narrow the focus to ~50% of price activity. This tighter structure makes them ideal for detecting volatility contractions, consolidations, and early breakout signals. WMA-96 as Trend Reference: The 96-period WMA acts as a slower, more stable directional guide. Unlike shorter WMAs, this longer setting filters noise and serves as a reference line for the dominant trend. Traders can use it as an anchor for intraday or swing positions. Scalping & Swing Benefits: Price holding above the WMA-96 while staying near the upper 0.5σ band often signals strength. Contractions (squeezes) in the 0.5σ band followed by expansion frequently mark breakout zones. Pullbacks toward the WMA-96 combined with band signals can act as re-entry or risk-defined trade areas. This script provides a balanced view of momentum and stability — the 0.5σ bands reveal short-term volatility shifts, while the WMA-96 grounds the trader in the prevailing trend.
Pine Script®指標
由kidevswamynathan提供
2
KAMA Trend Flip with Snap & Follow - SightLing Labs🔭 OVERVIEW KAMA Snap Follow is a customized adaptation of the Kaufman Adaptive Moving Average (KAMA) that overlays a trend-tracking line on the chart. It computes an adaptive smoothing constant from the efficiency ratio, then incorporates conditional enhancements: a "snap" mechanism to boost responsiveness on significant counter-trend bars surpassing an ATR-based threshold, and a temporary "follow" mode after trend flips to intensify adaptation for a user-defined number of bars. This allows the line to hug price more closely during early reversal phases before returning to standard smoothing for noise filtration. The line colors green for upward trends (rising KAMA), red for downward (falling KAMA), and gray for neutral, with optional alerts on trend changes. If the structure invalidates (e.g., via excessive lag or unconfirmed flips), no automatic cleanup occurs—users manage via settings tweaks and backtesting. 🔭 CONCEPTS * Adaptive smoothing core: Builds on KAMA's efficiency ratio to dynamically adjust between fast and slow constants, gliding over minor volatility while aiming to react to directional shifts. * Snap trigger: Detects potential reversals via large bar changes opposing the prior trend, exceeding a multiplier of ATR; this temporarily amplifies the smoothing constant (capped at 1.0) to pull KAMA toward price. * Follow mode activation: Post-flip, engages a boosted adaptation phase for a fixed bar count, forcing tighter shadowing in the new direction to reduce lag on true turns, then reverts to absorber mode. * Trend detection: Simple comparison of current vs. prior KAMA values defines up/down/neutral, with no embedded signals—purely for visual trend context. * Risk-aware design: No guarantees; focuses on lag reduction in simulations (e.g., 38-54% trough lag cuts on synthetic volatile series), but real-market performance varies—backtest thoroughly. 🔭 FEATURES * Custom KAMA calculation with manual efficiency ratio and smoothing powers for baseline adaptation. * ATR-integrated snap for reversal sensitivity, with adjustable multiplier and boost. * Post-flip follow mode with configurable period and boost to enhance new-trend hugging. * Trend coloring and flip alerts: Green/red/gray line with conditions for up/down/neutral; alerts on changes. * User controls: Source (e.g., close). Efficiency Ratio Length (pivot-like sensitivity). Fast/Slow Powers (adaptation speed). ATR Length (volatility measure). Snap Multiplier/Boost (reversal threshold/amplification). Follow Period/Boost (post-flip duration/intensity). * Efficient execution: Lightweight, no heavy buffers—suitable for intraday charts via backtested tweaks. 🔭 HOW TO USE * Tune sensitivity: Shorten Efficiency Ratio Length on lower timeframes for quicker reactions; lengthen on higher for smoother trends. Test ATR Length against asset volatility. * Monitor flips: Use green/red shifts as trend context—combine with your strategy (e.g., crossovers, support/resistance) for potential entries; alerts notify changes. * Leverage modes: Snap helps catch sharp turns; follow mode tightens tracking post-reversal—observe on historical data to gauge lag reduction (e.g., 30-57% miss cuts on 0.20 moves in tests). * Apply MTF: Spot broader trends on 5m; refine on 30s/1m near flips. Backtest configurations to avoid over-optimization. * Integrate confluence: Pair with volume, RSI, or your filters; never rely solely—markets evolve, so validate via simulations and live observation. 🔭 CONCLUSION KAMA Snap Follow evolves standard KAMA by adding snap and follow mechanics to combat reversal lag while filtering bumps, offering a visual tool for trend analysis in volatile intraday setups. Developed to address traditional adaptive averages' delays without introducing excessive whipsaw (e.g., zero added in noisy flats per tests), it provides adjustable parameters for customization. No performance promises—results hinge on backtesting and market fit; use as a framework for scenario evaluation, not automated trading. Example Configurations (derived from synthetic tests on SOFI-like intraday volatility; backtest and adjust): - For 30s charts (high noise, rapid shifts): Efficiency Ratio Length=20, Fast Power=1, Slow Power=15, ATR Length=10, Snap Multiplier=1.2, Snap Boost=2.0, Follow Period=5, Follow Boost=2.5—yields ~40% lag reduction on turns, filtering 85% of <0.01 fluctuations. - For 1m charts (moderate volatility): Efficiency Ratio Length=30, Fast Power=2, Slow Power=20, ATR Length=14, Snap Multiplier=1.5, Snap Boost=2.5, Follow Period=8, Follow Boost=3.0—achieves ~30% lower reversal misses (e.g., 0.08 vs. 0.12 on 0.20 swings), stable in 50-bar chops. - For 5m charts (trendier flows): Efficiency Ratio Length=50, Fast Power=3, Slow Power=40, ATR Length=20, Snap Multiplier=1.8, Snap Boost=3.0, Follow Period=12, Follow Boost=3.5—boosts post-flip hug by 25%, ignoring 90% of ±0.05 noise across 100 bars.
Pine Script®指標
由SightLineLabs提供
Whale Fractal Levels (V1.0)What it does This indicator plots Fractal Levels (Bill Williams pivots) as horizontal lines and prints clean signals for: BO+ / BO− → Breakouts through the latest fractal high/low SW↑ / SW↓ → Liquidity sweeps (wick pierces, close rejects) RE+ / RE− → Retests of the broken level after a confirmed breakout Cyan = support (fractal lows). Lilac = resistance (fractal highs). How it works Detects fractals with Left/Right = lr. A pivot is confirmed after lr bars on the right → the level itself doesn’t repaint. Each confirmed fractal spawns a horizontal line extended to the right. You can limit how many lines stay on chart and auto-expire old ones. Signals reference the most recent fractal high/low only and are edge-triggered (crossover/crossunder) with a cooldown so you don’t get a marker on every bar near the level. A small state machine remembers the last breakout to validate the next retest. Inputs (Settings) Fractals Left/Right (BW fractal) — Sensitivity of pivots (lower = more reactive, higher = cleaner). MAX number of levels to display — Keep only the most recent N lines. Level lifetime (bars) — Auto-delete lines after N bars to declutter. Signals Cooldown between signals (bars) — Minimum spacing between markers (anti-spam). Show Breakouts (BO±) — Toggle breakout markers. Show Sweeps (SW↑/SW↓) — Toggle sweep markers. Show Retests (RE±) — Toggle retest markers. Display Show fractal lines / Line width / Line transparency (0..100) Alerts (ready to use) BO+ (Fractal), BO- (Fractal) SW↑ (Fractal), SW↓ (Fractal) RE+ (Fractal), RE- (Fractal)
Pine Script®指標
由WhaleMoves提供
1
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only) FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100) Short Description Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts. Full Description (meets “originality & usefulness”) What’s original FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow: Flow Pressure (FP) — In-bar directional drive scaled by relative volume. Drive = close − open max ⁡ ( high − low ,  tick ) ∈ = max(high−low, tick) close−open ​ ∈ . Relative Volume = volume average volume over  𝑓 𝑝 𝐿 𝑒 𝑛 = average volume over fpLen volume ​ . 𝐹 𝑃 𝑟 𝑎 𝑤 = Drive × RelVol FP raw ​ =Drive×RelVol then squashed (softsign) to . Why it belongs: distinguishes real pushes (big body and big volume) from noise. Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR. 𝑉 𝑊 𝐴 𝑃 𝑡 = ∑ ( 𝑇 𝑃 × 𝑉 𝑜 𝑙 ) ∑ 𝑉 𝑜 𝑙 VWAP t ​ = ∑Vol ∑(TP×Vol) ​ over vwapLen. Drift = 𝑉 𝑊 𝐴 𝑃 𝑡 − 𝑉 𝑊 𝐴 𝑃 𝑡 − 1 𝐴 𝑇 𝑅 = ATR VWAP t ​ −VWAP t−1 ​ ​ → squashed to . Why it belongs: persistent VWAP movement signals sustained accumulation/distribution. PVT Momentum — Price-Volume Trend standardized (z-score) and squashed. 𝑃 𝑉 𝑇 𝑡 = 𝑃 𝑉 𝑇 𝑡 − 1 + 𝑉 𝑜 𝑙 × Δ 𝐶 𝑙 𝑜 𝑠 𝑒 𝐶 𝑙 𝑜 𝑠 𝑒 𝑡 − 1 PVT t ​ =PVT t−1 ​ +Vol× Close t−1 ​ ΔClose ​ . 𝑧 = 𝑃 𝑉 𝑇 − SMA ( 𝑃 𝑉 𝑇 ) StDev ( 𝑃 𝑉 𝑇 ) z= StDev(PVT) PVT−SMA(PVT) ​ → squashed to . Why it belongs: captures volume-weighted trend pressure without relying on price alone. Composite score: Score = 𝑤 𝐹 𝑃 ⋅ 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 ⋅ 𝑉 𝑊 𝐴 𝑃 _ 𝐷 𝑟 𝑖 𝑓 𝑡 + 𝑤 𝑃 𝑉 𝑇 ⋅ 𝑃 𝑉 𝑇 _ 𝑀 𝑜 𝑚 𝑤 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 + 𝑤 𝑃 𝑉 𝑇 Score= w FP ​ +w VWAP ​ +w PVT ​ w FP ​ ⋅FP+w VWAP ​ ⋅VWAP_Drift+w PVT ​ ⋅PVT_Mom ​ with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones. How it works (step-by-step) Compute FP, VWAP Drift, PVT Momentum. Normalize each to the same scale. Weighted average → FlowFusion Score. Smooth with a Signal line to reduce whipsaw. Optional background shading when Score exceeds thresholds. How to use Direction filter: Score > 0 favors longs; Score < 0 favors shorts. Momentum turns: Score crosses above Signal → setup for long; below → setup for short. Strength zones: Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure. Confluence: Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50. Alerts included: zero cross, zone entries, and Score/Signal crossovers. Inputs (key) fpLen (20): relative-volume lookback for Flow Pressure. vwapLen (34): rolling VWAP window. pvtLen (50): PVT z-score window. sigLen (9): Signal smoothing. Weights: wFP, wVWAP, wPVT to bias the blend. Thresholds: upperBand / lowerBand (defaults +40/−40). Display: toggle component plots and background shading. Best practices Trending markets: increase wVWAP (VWAP Drift) or widen thresholds. Ranging markets: increase wFP and wPVT; take quicker profits. News: wait for bar close confirmation or reduce size. Data quality: use consistent volume feeds (especially in crypto). Limitations Oscillators can stay extreme in strong trends; use structure/trend filters. Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible. Disclaimer This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
Pine Script®指標
由fts4sure提供
60 신저가 숏“60-Day New Low Short” is a momentum breakdown setup that sells short when price prints a fresh 60-day low, betting that failed support will extend the downtrend. Entries are usually taken on the breakdown close (or next open) with confirmation like rising volume, relative weakness, and price below the 50/200-day MAs. Manage risk with a stop above the recent swing high or 20-day high; take profits via ATR-based targets or a trailing stop, and avoid trades near major catalysts (earnings/news).
Pine Script®指標
由makedeltatv2提供
VXN Price Volume TrendThe VXN Price Volume Trend (PVT) indicator is based on other open source scripts. It's designed for Nasdaq futures (NQ/MNQ) tracks money flow by combining price changes and volume. PVT calculates the cumulative sum of volume multiplied by the percentage change in the average price (open + high + low + close)/4. Buy/sell signals are generated when PVT crosses its smoothed signal line (EMA or SMA) and are filtered by the VXN (CBOE Nasdaq Volatility Index) trend: buy signals trigger in bullish conditions (VXN EMA below its 200-period SMA, signaling lower volatility), and sell signals in bearish conditions (VXN EMA above SMA, signaling higher volatility). Green/red background colors highlight bullish/bearish VXN trends for quick reference, with crossover signals plotted on the chart.
Pine Script®指標
由louisgph提供
VXN Stochastic Momentum Index with double EMA smoothingThis indicator is based on other open source scripts. It's designed for trading Nasdaq futures (NQ and MNQ). It uses the Stochastic Momentum Index (SMI) with double EMA smoothing to measure price momentum relative to the high-low range, combined with the VXN index (CBOE Nasdaq Volatility Index) to filter signals via background color. SMI: Measures the distance of the price from the midpoint of the high-low range, double-smoothed with EMAs, and scaled to oscillate between -100 and +100. Overbought (+40) and oversold (-40) levels, with extreme max/min levels (+75/-75), help identify potential reversals. Signals: Bullish signals occur on SMI crossing above the signal line, breaking above the oversold level (-40), or crossing above zero, especially when the VXN background is green (VXN 1-period EMA < 200-period SMA). Bearish signals occur on SMI crossing below the signal line, breaking below the overbought level (+40), or crossing below zero, when the background is red (VXN EMA > SMA). VXN Filter: When enabled, the background is green (bullish) when VXN EMA < SMA, and red (bearish) when EMA > SMA. Alternatively, zero-line crossovers can set the background (green for SMI > 0, red for SMI < 0). Usage: Apply this indicator to a Nasdaq futures chart in TradingView’s indicator pane (not overlayed). Use SMI crossovers, overbought/oversold breakouts, or zero-line crossovers for trade signals, confirmed by VXN background (green for long, red for short). Adjust parameters for sensitivity. Note: Ensure VXN data is available in TradingView to avoid fallback to chart’s close price, which may skew sentiment. Use the debug option to verify VXN data.
Pine Script®指標
由louisgph提供
Arena TP Manager//@version=5 indicator("Arena TP Manager", overlay=true, max_labels_count=500) // === INPUTS === entryPrice = input.float(0.0, "Entry Price", step=0.1) stopLossPerc = input.float(5.0, "Stop Loss %", step=0.1) tp1Perc = input.float(10.0, "TP1 %", step=0.1) tp2Perc = input.float(20.0, "TP2 %", step=0.1) tp3Perc = input.float(30.0, "TP3 %", step=0.1) // === CALCULATIONS === stopLoss = entryPrice * (1 - stopLossPerc/100) tp1 = entryPrice * (1 + tp1Perc/100) tp2 = entryPrice * (1 + tp2Perc/100) tp3 = entryPrice * (1 + tp3Perc/100) // === PLOTTING === plot(entryPrice > 0 ? entryPrice : na, title="Entry", color=color.yellow, linewidth=2, style=plot.style_linebr) plot(entryPrice > 0 ? stopLoss : na, title="Stop Loss", color=color.red, linewidth=2, style=plot.style_linebr) plot(entryPrice > 0 ? tp1 : na, title="TP1", color=color.green, linewidth=2, style=plot.style_linebr) plot(entryPrice > 0 ? tp2 : na, title="TP2", color=color.green, linewidth=2, style=plot.style_linebr) plot(entryPrice > 0 ? tp3 : na, title="TP3", color=color.green, linewidth=2, style=plot.style_linebr) // === LABELS === if (entryPrice > 0) label.new(bar_index, entryPrice, "ENTRY: " + str.tostring(entryPrice), style=label.style_label_up, color=color.yellow, textcolor=color.black) label.new(bar_index, stopLoss, "SL: " + str.tostring(stopLoss), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(bar_index, tp1, "TP1: " + str.tostring(tp1), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(bar_index, tp2, "TP2: " + str.tostring(tp2), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(bar_index, tp3, "TP3: " + str.tostring(tp3), style=label.style_label_up, color=color.green, textcolor=color.white)
Pine Script®指標
由nrmsousa提供