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Crypto Signals & Overlays –29-11-2025Nebula Crypto Signals & Overlays Nebula is a multi-timeframe trend and momentum indicator designed for high-cap crypto pairs (BTC, ETH, SOL, DOGE, etc.). • Uses 21/50/200 EMAs + higher-timeframe EMA for trend filtering • RSI and Bollinger Bands for momentum and squeeze detection • Generates BUY/SELL labels on trend-side pullbacks • ATR line as a dynamic stop/target guide, plus pivot-based support/resistance zones • Background colors: green = bullish regime, red = bearish regime, yellow = low-volatility squeeze Not financial advice. Always backtest and use proper risk management before trading live.
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kamransheikh70670 tarafından
Omega Correlation [OmegaTools]Omega Correlation (Ω CRR) is a cross-asset analytics tool designed to quantify both the strength of the relationship between two instruments and the tendency of one to move ahead of the other. It is intended for traders who work with indices, futures, FX, commodities, equities and ETFs, and who require something more robust than a simple linear correlation line. The indicator operates in two distinct modes, selected via the “Show” parameter: Correlation and Anticipation. In Correlation mode, the script focuses on how tightly the current chart and the chosen second asset move together. In Anticipation mode, it shifts to a lead–lag perspective and estimates whether the second asset tends to behave as a leader or a follower relative to the symbol on the chart. In both modes, the core inputs are the chart symbol and a user-selected second symbol. Internally, both assets are transformed into normalized log-returns: the script computes logarithmic returns, removes short-term mean and scales by realized volatility, then clips extreme values. This normalisation allows the tool to compare behaviour across assets with different price levels and volatility profiles. In Correlation mode, the indicator computes a composite correlation score that typically ranges between –1 and +1. Values near +1 indicate strong and persistent positive co-movement, values near zero indicate an unstable or weak link, and values near –1 indicate a stable anti-correlation regime. The composite score is constructed from three components. The first component is a normalized return co-movement measure. After transforming both instruments into normalized returns, the script evaluates how similar those returns are bar by bar. When the two assets consistently deliver returns of similar sign and magnitude, this component is high and positive. When they frequently diverge or move in opposite directions, it becomes negative. This captures short-term co-movement in a volatility-adjusted way. The second component focuses on high–low swing alignment. Rather than looking only at closes, it examines the direction of changes in highs and lows for each bar. If both instruments are printing higher highs and higher lows together, or lower highs and lower lows together, the swing structure is considered aligned. Persistent alignment contributes positively to the correlation score, while repeated mismatches between the swing directions reduce it. This helps differentiate between superficial price noise and structural similarity in trend behaviour. The third component is a classical Pearson correlation on closing prices, computed over a longer lookback. This serves as a stabilising backbone that summarises general co-movement over a broader window. By combining normalized return co-movement, swing alignment and standard price correlation with calibrated weights, the Correlation mode provides a richer view than a single linear measure, capturing both short-term dynamic interaction and longer-term structural linkage. In Anticipation mode, Omega Correlation estimates whether the second asset tends to lead or lag the current chart. The output is again a continuous score around the range. Positive values suggest that the second asset is acting more as a leader, with its past moves bearing informative value for subsequent moves of the chart symbol. Negative values indicate that the second asset behaves more like a laggard or follower. Values near zero suggest that no stable lead–lag structure can be identified. The anticipation score is built from four elements inspired by quantitative lead–lag and price discovery analysis. The first element is a residual lead correlation, conceptually similar to Granger-style logic. The script first measures how much of the chart symbol’s normalized returns can be explained by its own lagged values. It then removes that component and studies the correlation between the residuals and lagged returns of the second asset. If the second asset’s past returns consistently explain what the chart symbol does beyond its own autoregressive behaviour, this residual correlation becomes significantly positive. The second element is an asymmetric lead–lag structure measure. It compares the strength of relationships in both directions across multiple lags: the correlation of the current symbol with lagged versions of the second asset (candidate leader) versus the correlation of lagged values of the current symbol with the present values of the second asset. If the forward direction (second asset leading the first) is systematically stronger than the backward direction, the structure is skewed toward genuine leadership of the second asset. The third element is a relative price discovery score, constructed by building a dynamic hedge ratio between the two prices and defining a spread. The indicator looks at how changes in each asset contribute to correcting deviations in this spread over time. When the chart symbol tends to do most of the adjustment while the second asset remains relatively stable, it suggests that the second asset is taking a greater role in determining the equilibrium price and the chart symbol is adjusting to it. The difference in adjustment intensity between the two instruments is summarised into a single score. The fourth element is a breakout follow-through causality component. The script scans for breakout events on the second asset, where its price breaks out of a recent high or low range while the chart symbol has not yet done so. It then evaluates whether the chart symbol subsequently confirms the breakout direction, remains neutral, or moves against it. Events where the second asset breaks and the first asset later follows in the same direction add positive contribution, while failed or contrarian follow-through reduce this component. The contribution is also lightly modulated by the strength of the breakout, via the underlying normalized return. The four elements of the Anticipation mode are combined into a single leading correlation score, providing a compact and interpretable measure of whether the second asset currently behaves as an effective early signal for the symbol you trade. To aid interpretation, Omega Correlation builds dynamic bands around the active series (correlation or anticipation). It estimates a long-term central tendency and a typical deviation around it, plotting upper and lower bands that highlight unusually high or low values relative to recent history. These bands can be used to distinguish routine fluctuations from genuinely extreme regimes. The script also computes percentile-based levels for the correlation series and uses them to track two special price levels on the main chart: lost correlation levels and gained correlation levels. When the correlation drops below an upper percentile threshold, the current price is stored as a lost correlation level and plotted as a horizontal line. When the correlation rises above a lower percentile threshold, the current price is stored as a gained correlation level. These levels mark zones where a historically strong relationship between the two markets broke down or re-emerged, and can be used to frame divergence, convergence and spread opportunities. An information panel summarises, in real time, whether the second asset is behaving more as a leading, lagging or independent instrument according to the anticipation score, and suggests whether the current environment is more conducive to de-alignment, re-alignment or classic spread behaviour based on the correlation regime. This makes the tool directly interpretable even for users who are not familiar with all the underlying statistical details. Typical applications for Omega Correlation include intermarket analysis (for example, index vs index, commodity vs related equity sector, FX vs bonds), dynamic hedge sizing, regime detection for algorithmic strategies, and the identification of lead–lag structures where a macro driver or benchmark can be monitored as an early signal for the instrument actually traded. The indicator can be applied across intraday and higher timeframes, with the understanding that the strength and nature of relationships will differ across horizons. Omega Correlation is designed as an advanced analytical framework, not as a standalone trading system. Correlation and lead–lag relationships are statistical in nature and can change abruptly, especially around macro events, regime shifts or liquidity shocks. A positive anticipation reading does not guarantee that the second asset will always move first, and a high correlation regime can break without warning. All outputs of this tool should be combined with independent analysis, sound risk management and, when appropriate, backtesting or forward testing on the user’s specific instruments and timeframes. The intention behind Omega Correlation is to bring techniques inspired by quantitative research, such as normalized return analysis, residual correlation, asymmetric lead–lag structure, price discovery logic and breakout event studies, into an accessible TradingView indicator. It is intended for traders who want a structured, professional way to understand how markets interact and to incorporate that information into their discretionary or systematic decision-making processes.
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OmegaTools tarafından
GOLD TAS/TAM (Cartoon_Futures)Highlights the 5min close range around the TAM and TAS times of gold. it works on 5min charts and belwo. it works on the 5min candle close, not the vwap per true cme TAS and TAM calculations. you need to move to 1min and adjust preset times to get the proper london settlements CME times NY TAS: Sun-Fri 6:00 p.m. - 1:30 p.m. ET (5:00 - 12:30 CT) Central time TAM: Asia TAM: Sun - Frid 6:00 p.m. ET - 3:30 p.m. China London a.m. TAM: Sun-Fri 6:00 p.m. ET - 10:32 a.m. London London p.m.: TAM Sun-Fri 6:00 p.m. ET - 3:02 p.m. London
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Cartoon_Futures tarafından
MYPYBiTE.com – Cloud + VWAPFor Bitcoin we found that the 3 day chart consistently indicates a pattern that anyone can back test and determine the trend confirmation is broken. Of course we won't tell you here what it is because you have to do the work or be familiar with the communities I participate in. We decided to make this available because we realized many folks do not incorporate cloud charting. This is to help noobies and we hope to incorporate other factors in time.
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FuriousStylez tarafından
MYPYBiTE.com – Trend MAsI wrote this simple script to track momentum and associate my personal webpage with the development projects I do as a hobby. Technical information is a powerful way to understand trends and I included the various variables I use. Please as always considering that the trend is not the only component to investing and trading and fundamental information provides a compliment to the diligence employed by any serious trader or investor.
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FuriousStylez tarafından
WSMR v3.8 — WhaleSplash → Mean Reversal# WSMR v3.8 — WhaleSplash → Mean Reversal ### Global, Anchored, Non-Repainting Signal Framework for Futures, Crypto & Index Markets **WSMR v3.8** is a volatility-anchored market-structure framework designed to detect two high-probability turning points: ## 1️⃣ WhaleSplash (WS) — Short Impulse Exhaustion A “WhaleSplash” is a large downside impulse characterised by: - bar range ≥ *k × ATR* - strong % move - volume expansion vs SMA(20) - deep Z-Score oversold - compression away from VWAP - RSI weakness When these conditions align, the indicator marks a short exhaustion event and prints a 🐋 icon below the bar. This is a **non-repainting bar-close confirmation**. --- ## 2️⃣ Mean Reversal (MR) — Bullish Reversal Setup The MR module combines: - RSI bullish divergence (pivot-based, safe) - Z-Score reset above threshold - SMA20 reclaim with positive slope - Higher-low structure When confirmed at bar-close, the indicator identifies conditions favourable for a **mean-reversion long**. MR signals can optionally trigger an “**1st green candle after MR**” confirmation within a user-defined TTL (default 12 bars). --- # 🎯 Key Features ### ✔ Non-Repainting Confirmed Signals WS & MR only fire **after** bar close, using cooldown logic to avoid clustering and noise. ### ✔ VWAP-Anchored Z-Score Framework All signals reference price distance and statistical deviation from VWAP, producing adaptive, volatility-aware setups. ### ✔ Session Filter (Asia-Optimised) Optional session gating allows signals only between **23:00–09:00 UTC**, ideal for systematic Asia-session breakout & mean-reversion traders. ### ✔ Volatility Monitor (Normal → Extreme) Dynamic volatility classification using: - ATR baseline ratio - wickiness index - range Z-Score States: **Normal → Wicky → Spiky → Extreme** Displayed with colour-coded background in the status panel. ### ✔ Rolling WhaleSplash Frequency (Analytics Panel) WSMR tracks the frequency of WhaleSplash events over a rolling window (Bars/Days/Weeks/Months) and estimates average WS/day (on minute timeframes). ### ✔ Status Panel (Bottom-Right) Live display of: - Mode (Global/Asia) - Timeframe + TTL status - WhaleSplash frequency - Volatility state - ATR/Range information --- # 📌 Best Timeframes Optimised and validated on **5-minute charts**, but compatible with all intraday timeframes. --- # 🚨 Alerts Included - WhaleSplash SHORT - WhaleSplash LONG - Volatility Warning (Spiky/Extreme) --- # ⚠️ Notes WSMR v3.8 is not a buy/sell system. It is a **signal framework** highlighting exhaustion and reversal conditions. Always combine with market structure, session context, and risk management. Past performance does not guarantee future results. --- # 💬 Credits Script created by **John Nolan (JohnFrancisNolan)** Pine Script® v6 © 2024–2025 — Published under the **Mozilla Public License 2.0**
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JohnFrancisNolan tarafından
Thirdeyechart Index Weekly DoomsdayIndex Weekly – Version 3 (Dynamic Strength Ranking) The Index Weekly Dynamic Ranking Version is a professional TradingView indicator designed to give traders a real-time, high-level view of global index momentum. Unlike static tables, this version dynamically ranks indices by weekly strength, placing the strongest index at the top and the weakest at the bottom. Each symbol is displayed with color-coded values—blue for positive weekly momentum, red for negative—making it immediately clear which markets are performing strongly and which are under pressure. This indicator calculates weekly percentage changes for all selected indices using: pct_week = ((close_week – open_week) / open_week) * 100 The results are compiled into a ranked table, so symbols automatically reorder themselves based on current strength. This dynamic ranking allows traders to quickly spot the most dominant indices and adjust their strategy accordingly. The table is fully visual and easy to read, with distinct coloring for up and down momentum, providing both clarity and speed for decision-making. The version is ideal for traders who want to combine global macro perspective with technical setups, as it shows not only the direction of individual indices but also which markets are leading or lagging. By following the strongest index first, traders can align their positions with global momentum rather than relying on a single static chart. This approach makes weekly index tracking more technical, more advanced, and closer to an institutional-style dashboard, similar to what professional terminals like Bloomberg offer, while remaining lightweight and easy to use on TradingView. Disclaimer This tool is for educational and analytical purposes only. It does not provide buy/sell signals or financial advice. Trading involves risk, and all decisions remain the responsibility of the user. © 2025 Ajik Boy. All rights reserved. Redistribution or commercial use without permission is prohibited.
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Spiderweb11 tarafından
2-Year Real RateThe 2-year real rate is the inflation-adjusted yield on a 2-year U.S. Treasury—essentially the market’s expectation for short-term “true” interest rates after subtracting expected inflation (often approximated as nominal 2Y yield – breakeven inflation). It matters because it reflects the actual cost of capital and is one of the cleanest gauges of the Fed’s effective stance: rising real rates mean tightening financial conditions, falling real rates mean loosening. In trading, the 2Y real rate is a powerful macro risk-on/risk-off indicator—equities, long-duration tech, crypto, and EM FX generally weaken when real rates rise, while USD and front-end rate-sensitive trades tend to strengthen. Watching inflections in the 2Y real rate helps you time shifts in liquidity, gauge how aggressively the market is pricing Fed moves, and position for cross-asset trends driven by changes in real funding conditions.
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gman1023 tarafından
SuperTrend Zone Rejection [STRZ] CONCEPT - This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline. HOW IT WORKS - The script operates on three logic gates: >> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction. >> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area. >> Signal Detection: Identifies specific candle geometries occurring within these zones. >> Rejection: Candles with significant wicks testing the zone support/resistance. >> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range. FEATURES - >> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box. >> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size. >> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries. SETTINGS - >> Super Trend: Adjustable Factor and ATR Period. >> Zone Multiplier: Controls the width of the pullback zone relative to ATR. >> Visuals: Customizable colours for zones and signals to fit light/dark themes.
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siddarth_banakar3 tarafından
Extended SOPR Indicator — SSOPR Tops (A/B toggle)Extended SOPR Indicator — SSOPR Tops and Lows (A/B toggle) Observation-only. Data: Glassnode SOPR. Overview This indicator extends the classical SOPR (Spent Output Profit Ratio) to improve readability and reduce noise on charts. SOPR measures whether coins moved on-chain were spent at a profit or at a loss. In brief: SOPR > 1 → spending at profit; SOPR < 1 → spending at loss. SSOPR (from "Smoothed SOPR") applies optional log transform (centers baseline at 0), smoothing (standard or adaptive), and adds structured signals: Z‑score lows (capitulation), buy zones , and top detection after prolonged elevation. Why extend SOPR? (SSOPR vs classical SOPR) • Noise reduction: Raw daily SOPR can whipsaw around its baseline. SSOPR uses smoothing and (optionally) adaptive smoothing so regimes are visible without overfitting. • Better readability: The log transform shifts the break-even line to 0, making “profit territory” (above 0) and “loss territory” (below 0) visually intuitive on oscillators. • Actionable context: Z‑score highlights extreme lows (capitulation risk), a simple buy-zone threshold marks potential accumulation, and a structured top pattern (with a time factor) helps frame distribution phases after sustained elevation. What the script plots • Smoothed SOPR (SSOPR): An orange line representing the smoothed SOPR (with optional log transform and optional adaptive smoothing). • Top markers: A red triangle appears once at the onset of a confirmed top pattern. • Background shading: – Soft green: Buy zone when SSOPR falls below the “Buy Threshold.” (+ Z‑score capitulation zones (extreme lows)). – Soft red: Top‑zone shading when the top criteria are met but before the single triangle fires. Inputs & parameters • Smoothing Length (default 14): Base window for smoothing SSOPR. Higher values = smoother, slower response. • Apply Log Transform (default ON): Uses log(SOPR) so the baseline is 0 (log(1)=0). Above 0 → net profit regime; below 0 → net loss regime. • Adaptive Smoothing (default OFF): Expands smoothing length as volatility rises using a standard deviation proxy; reduces whipsaws while preserving structure. • Z‑score Threshold for Lows (default −2.5): Highlights capitulation zones when SSOPR deviates far below its rolling mean. • SSOPR Buy Threshold (default −0.02): Simple rule-of-thumb level for potential accumulation context when below (log scale). • SSOPR Top Threshold (default +0.005): Minimum elevation required for “profit territory” when assessing tops (log scale). • Min Bars Above Threshold Before Top (default 50): Ensures prolonged elevation before calling a top. • Lookback for Peak Detection (default 50): Window used to locate the recent high. • Drop % from Peak to Confirm Top (default 5%): Confirms the start of distribution from a local high. • Highlight Background : Toggles shaded zones. Top detection (indicator-only) A top fires when ALL of the following are true: SSOPR spent at least Min Bars Above Threshold above the Top Threshold (sustained elevation). The rising phase test passes (Option A or B; see below). A drop from the local peak exceeds Drop % within the Lookback window. The peak occurred in profit territory (SSOPR > Top Threshold). To avoid repeated signals during the decline, the script emits the triangle once, at onset. Rising‑phase switch: Option A vs Option B • Option A — Up‑step ratio : Over the last A: Bars for Rising Check (default 50), it requires that at least A: Required Up‑Step Ratio (default 60%) of bars were rising (each bar compared to the previous). This favors gradual, persistent advances and filters out “choppy” lifts. • Option B — Net slope : Compares current SSOPR to its value B: Bars Back for Net Slope ago (default 50). If higher, the series is considered rising. This is simpler and reacts faster in volatile phases but can admit brief pseudo‑trends. Guidance : Prefer A for conservative confirmation in slow, persistent cycles; use B when trend moves are strong and you need timely detection. Interpretation guide • Regimes (log view): Above 0 → spending at profit; below 0 → spending at loss. • Capitulation lows: When Z‑score < threshold, conditions often reflect forced/liquidity‑driven spending. Treat as context, not signals. • Buy zone: SSOPR < Buy Threshold flags potential accumulation conditions (combine with price structure). • Tops: After prolonged elevation, a confirmed top often coincides with profit‑taking/distribution phases. Recommended timeframes • Daily : Code optimized for daily timeframe. Method summary • SSOPR source: GLASSNODE:BTC_SOPR (via request.security ). • Optional log transform: sopr → log(sopr) to normalize around 0. • Smoothing: SMA over Smoothing Length , optionally adaptive using local volatility (std dev). • Z‑score: (SSOPR − mean) / std dev, highlighting extreme lows. • Top: Requires long elevation above Top Threshold , rising‑phase (A/B), and a subsequent drop > Drop % from recent high. Limitations & notes • SOPR reflects on‑chain movements; some activity occurs off‑chain (exchanges, internal transfers). Not all moves imply sale; aggregation makes it a usable proxy for profit/loss realization. • Higher smoothing reduces noise but delays signals; adaptive smoothing can help but is still a trade‑off. • Treat thresholds as context markers. They are not entry/exit signals by themselves. • Use with price structure, volume, and other on‑chain indicators (e.g., realized price bands, dormancy/CDD) for confluence. How to use (examples) • Advance holding above 0 (log view): Retests of 0 from above that hold—while SSOPR remains elevated—often mark absorption; look for Top conditions only after sustained elevation and a confirmed drop from peak. • Downtrend below 0: Rejections near 0 can align with continued loss realization; extreme Z‑score lows suggest capitulation risk—context for accumulation, not a blind buy. Recommended settings • Weekly: Log ON, Smoothing Length 14–30, Adaptive ON, Buy Threshold −0.02, Top Threshold +0.005, Rising Method A, Min Bars 50. • Daily: Log ON, Smoothing Length 14–20, Adaptive OFF or ON (depending on noise), Rising Method B for timely slope checks. Credits & references • SOPR metric: Renato Shirakashi; documentation: Glassnode , CryptoQuant , overview: Bitbo . Disclaimer This script is for research/education on market behavior. It is not financial advice. Indicators provide context; decisions remain your responsibility. Tags bitcoin, btc, on‑chain, sopr, ssopr, glassnode, oscillator, regime, distribution, capitulation
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Rob_Maths tarafından
Sideways & Breakout Detector + Forecast//@version=6 indicator("Sideways & Breakout Detector + Forecast", overlay=true, max_labels_count=500) // Inputs lengthATR = input.int(20, "ATR Länge") lengthMA = input.int(50, "Trend MA Länge") sqFactor = input.float(1.2, "Seitwärtsfaktor") brkFactor = input.float(1.5, "Breakoutfaktor") // ATR / Volatilität atr = ta.atr(lengthATR) atrSMA = ta.sma(atr, lengthATR) // Basislinie / Trend basis = ta.sma(close, lengthATR) trendMA = ta.sma(close, lengthMA) // Seitwärtsbedingung isSideways = atr < atrSMA * sqFactor // Breakouts upperBreak = close > basis + atr * brkFactor lowerBreak = close < basis - atr * brkFactor // Vorhergesagter Ausbruch (Forecast) // Wenn Seitwärtsphase + Kurs nahe obere oder untere Kanalgrenze forecastBull = isSideways and (close > basis + 0.5 * atr) forecastBear = isSideways and (close < basis - 0.5 * atr) // Farben barcolor(isSideways ? color.new(color.yellow, 40) : na) barcolor(upperBreak ? color.green : na) barcolor(lowerBreak ? color.red : na) // Breakout-Bänder plot(basis + atr * brkFactor, "Bull Break Zone", color=color.new(color.green, 60)) plot(basis - atr * brkFactor, "Bear Break Zone", color=color.new(color.red, 60)) // Labels (klein) if isSideways label.new(bar_index, close, "Seitwärts", color=color.yellow, style=label.style_label_center, size=size.tiny) if upperBreak label.new(bar_index, high, "Bull Breakout", color=color.green, style=label.style_label_up, size=size.tiny) if lowerBreak label.new(bar_index, low, "Bear Breakout", color=color.red, style=label.style_label_down, size=size.tiny) // Vorhergesagte Ausbrüche markieren plotshape(forecastBull, title="Forecast Bull", location=location.abovebar, color=color.new(color.green, 0), style=shape.triangleup, size=size.tiny) plotshape(forecastBear, title="Forecast Bear", location=location.belowbar, color=color.new(color.red, 0), style=shape.triangledown, size=size.tiny) // Alerts alertcondition(isSideways, "Seitwärtsphase", "Der Markt läuft seitwärts.") alertcondition(upperBreak, "Bull Breakout", "Ausbruch nach oben!") alertcondition(lowerBreak, "Bear Breakout", "Ausbruch nach unten!") alertcondition(forecastBull, "Forecast Bull", "Voraussichtlicher Bull-Ausbruch!") alertcondition(forecastBear, "Forecast Bear", "Voraussichtlicher Bear-Ausbruch!")
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dirken81 tarafından
Bullish and Bearish Engulfing (Strength & Trend)This is the final indicator that will show all the “Bullish Engulfing” and “Bearish Engulfing” price action patterns on the chart. There are several indicators that show this type of chart pattern, but this will show you on the chart all the types of engulfing that may exist and differentiated by type (or strength). I have classified 4 types of patterns for strength. Those of strength 1 represent patterns that only incorporate the body of the previous candle, and therefore represent a "base" signal. Those of strength 2 represent patterns that have the close beyond the shadow, but with an open equal to the previous close. Those of strength 3 represent patterns that open beyond the previous close. Those of strength 4 represent patterns in which the body of the candle completely encompasses the previous candle. Trend Filter For a better experience I have also added a trend filter via an exponential moving average adjustable from the settings. So if activated, patterns will only appear if the candle is completely above the moving average. The indicator is completed by alerts that can be activated either via the "any alert function" in which you will receive any alert, or you can choose whether to receive only bullish ones or only bearish ones.
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LuTrader_LB tarafından