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FX % Change TableFX % Change Table This tool provides currency strength analysis at a glance, allowing traders to instantly identify which currencies are outperforming or underperforming without the need to manually check each pair. It offers decision support for entries and exits by helping traders align their positions with broader strength and weakness trends, such as buying the strongest currency against the weakest. Its versatility makes it suitable for any timeframe, whether used by scalpers or swing traders. Best of all, it delivers these insights in a clean and simple format, presenting complex multi-pair calculations in an easy-to-read visual display. This tool is especially helpful for traders who incorporate currency strength analysis, correlation checks, or basket trading into their strategy. It reduces time spent flipping through charts and provides a structured overview for smarter trade decisions. Unlike traditional single-pair indicators, this tool calculates the percentage change between the current and previous higher timeframe closes for a group of forex pairs. You can choose between two curated groups: • Majors – EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, NZDUSD, USDCAD • Cross Pairs – A wide basket of EUR, GBP, AUD, NZD, CAD, and CHF crosses For each symbol, the script requests the selected timeframe’s price data, calculates the percentage change from the previous bar’s close, and then displays it in a neatly formatted table. Green highlights strength, red highlights weakness, and gray shows neutrality — making shifts in momentum instantly recognizable. How to Use 1. Select your timeframe – For example, "60" (1H) to view hourly change, "240" (4H) for broader moves, or "D" for daily strength/weakness. 2. Choose your group – Focus on the Majors for a macro USD view, or switch to Cross Pairs for secondary flows. 3. Position the table – Place it in any corner of your chart (top-left, top-right, bottom-left, bottom-right) to match your workspace. The table updates dynamically at the close of each bar, ensuring the displayed data always reflects the most recent market movements.
Indicateur Pine Script®
par The_Forex_Steward
Rapid bp-meter(2Y) MTF V2.0US 2Y Yield — Basis-Point Meter (30s Fast + 1m Confirm) What it does (one-liner): A simple, fast basis-point (bp) meter for the US 2-Year Treasury yield that shows a 30-second “pre-trigger” and a 1-minute confirmation so you can quickly gauge risk-on / risk-off during news and FOMC events. Overview This tool tracks the change in the US 2-Year yield in basis points (1 bp = 0.01%). It displays two readings: Fast: 30-second bp change (early signal). Confirm: 1-minute bp change (confirmation). Color logic is intentionally simple: Green = yields down beyond your threshold (typical risk-on bias). Red = yields up beyond your threshold (typical risk-off bias). Gray = within thresholds (no signal). Typical interpretation (not a signal service): Yields ↓ (green) often align with USD weakness / risk-on (e.g., EURUSD↑, XAUUSD↑, NQ100↑, USDJPY↓). Yields ↑ (red) often align with USD strength / risk-off (e.g., EURUSD↓, XAUUSD↓, NQ100↓, USDJPY↑). Works on any chart. The yield is fetched from your chosen symbol/timeframes via request.security, independent of the chart timeframe. Inputs Yield symbol: default TVC:US02Y. (Alternative proxy if seconds TF not available: 2-yr futures CBOT:ZT1!—note futures price ↑ = yield ↓.) Fast timeframe: default 30S. (Use 1m if your plan/symbol doesn’t support seconds.) Confirm timeframe: default 1 (1-minute). Fast trigger (bp): default 2.0 bp. Confirm trigger (bp): default 5.0 bp. No-repaint mode: uses completed bars only. Turn off if you want intrabar responsiveness (may repaint). Panel position: choose where the table appears on your chart. What the table shows 2Y Δ fast (30S): e.g., −2.4 bp (green) 2Y Δ conf (1): e.g., −6.1 bp (green) Rule of thumb Both GREEN → risk-on bias likely (consider EURUSD/XAU/NQ long, USDJPY short). Both RED → risk-off bias likely (consider the inverse). Mixed → wait for alignment or price structure confirmation. How to use (step-by-step) Add to any chart. Set Yield symbol to TVC:US02Y. If seconds aren’t available, keep Fast=1m and Confirm=3m (or use ZT1! as a fast proxy + US02Y confirm). Choose Fast/Confirm thresholds. Defaults (2 bp / 5 bp) are conservative for major news (CPI/NFP/FOMC). During events, wait for the first 1–3 minutes to pass; then act only if both readings agree and price gives a clean impulse → pullback → continuation. Risk: size down on news; use a fixed $ risk per trade; place stops beyond the impulse origin. Optional: enable the built-in alerts (const messages) for Fast up/down and Confirm up/down. Alerts (included) Fast down (pre-trigger) – “US 2Y down ≥ fast threshold → risk-on (pre-trigger)” Fast up (pre-trigger) – “US 2Y up ≥ fast threshold → risk-off (pre-trigger)” Confirm down (confirmed) – “US 2Y down ≥ confirm threshold → risk-on (confirmed)” Confirm up (confirmed) – “US 2Y up ≥ confirm threshold → risk-off (confirmed)” Tip: You can customize alert text in TradingView’s alert dialog if you want to include thresholds or tickers. Best practices & notes Seconds data requires the appropriate plan and symbol support. If seconds aren’t supported for US02Y, use 1m/3m or combine ZT1! (futures) for “fast” with US02Y for confirm. No-repaint mode is recommended; turning it off will read intrabar values that can change by bar close. The meter is directional context, not an entry by itself—combine with levels (NY H/L, VWAP, H1 S/R). On some sessions, headline vs. core news or Powell Q&A may cause second-leg reversals; confirm with price action. Limitations (transparent) This tool does not predict future yields; it only reads the recent bp change on your selected timeframes. Correlations vary; yield moves don’t always translate into the same magnitude on FX/indices/commodities. If your broker or symbol has delays or limited intraday history, readings may differ. Futures proxy (ZT1!) is inversely related to yield; interpretation must be inverted if you use it for the fast leg. What “inverse to yield” means When yields fall, bond prices rise. TVC:US02Y = the yield itself. CBOT:ZT1! = the price of the 2-yr note futures. So: US02Y ↓ (−bp) ⇢ ZT1! ↑ (price up) US02Y ↑ (+bp) ⇢ ZT1! ↓ (price down) That’s the “inverse” part: yield and futures price move in opposite directions. Disclaimer This script is for informational and educational purposes only. It does not constitute financial, investment, or trading advice, and it does not guarantee outcomes or profits. Trading involves risk, including the loss of principal. Always do your own research and use proper risk management.
Indicateur Pine Script®
par nfsmohi
Gabriel's Squeeze Momentum📊 Gabriel’s Squeeze Momentum — Deluxe Volatility + Momentum Suite An advanced, all-in-one squeeze & momentum framework that times volatility compression/expansion and trend shifts, with optional CVD (cumulative volume delta) momentum, ATR zone context, Discontinued Signal Lines (DSL) scalps, Colored DMI trend label, Williams VIX Fix (WVF) low-volatility exhaustion pings, Buff’s VTTI/VPCI volume confirmation, and real-time divergence detection. What it does: Discover Squeezes. They occur when volatility contracts, often preceding significant price moves. Measures momentum with a fast, ATR-normalized linear regression—optionally on Price or CVD—so you see direction and “how hard it’s pushing.” 🧭 Signal Legend ~ Colors the squeeze so you instantly know regime: 🟡 / 🟣 (Tight/Very Tight): Coiled spring; prepare a plan. 🔴 / ⚫ = (Regular/Wide): Watch for Divergences between Price and Momentum. 🟢 (Fired): Expansion started; trade with momentum cross and bias. Adds context bands at ±1/±2/±3 ATR (“trend / expansion / OB-OS”) to filter late or weak signals. DSL (Discontinued Signal Lines) give early scalp flips on momentum vs. adaptive bands. DMI label & triangles communicate trend strength and whether +DI / −DI is in control. Williams VIX Fix flags capitulation/exhaustion style spikes (with optional VIX proxy). VTTI/VPCI modules confirm when volume aligns with price trend or contradicts it. Divergences (regular & hidden) auto-draw with optional live (may repaint) or on-close. 🎢 Squeeze Momentum — How the Logic Works 🎢 The Squeeze Momentum model is built on the principle of volatility compression and expansion. In markets, periods of low volatility are often followed by explosive moves, while high volatility eventually contracts. The “squeeze” seeks to identify these compression phases and prepare traders for the likely expansion that follows. This indicator achieves that by comparing Bollinger Bands (BB) to Keltner Channels (KC). Bands: Bollinger vs. Keltner Bollinger Bands (BB): Calculated using a Simple Moving Average (SMA) of price and standard deviations (σ) of the closing price. The bands expand and contract depending on volatility. Keltner Channels (KC): Built from an SMA plus/minus multiples of the Average True Range (ATR). Unlike some simplified squeeze indicators that approximate ATR, this implementation uses a true ATR-based KC, ensuring accuracy across different assets and timeframes. By comparing whether the Bollinger Bands are inside or outside the Keltner Channels, the indicator identifies different squeeze regimes, each representing a distinct volatility environment. 📦 Regime Colors The squeeze states are color-coded for quick interpretation: 🔹Wide Squeeze (⚫): BB inside KC with a high ATR multiplier. Extremely low volatility, often before major expansion. 🔹Normal Squeeze (🔴): BB inside KC with a moderate ATR multiplier (about 25% more sensitive than Wide). Typical compression setting. 🔹Narrow Squeeze (🟡): BB inside KC with a lower ATR multiplier (about 50% more sensitive than Wide). Signals tighter compression. 🔹Very Narrow Squeeze (🟣): BB inside KC with the lowest ATR multiplier (100% more sensitive than Wide). Indicates extreme coiling. 🔹Fired Squeeze (🟢): BB break outside KC. Marks the release of volatility and potential trend acceleration. This multi-layered system improves upon classical SQZPRO by using precisely calculated Keltner Channels and multiple sensitivity levels, giving traders more granular information about volatility states. 🔒 Multi-Timeframe Support The indicator automatically adjusts squeeze thresholds for different timeframes — hourly, 4-hour, daily, weekly, and monthly charts. Each regime has been manually tuned for its timeframe, allowing traders to use the same tool whether scalping, swing trading, or holding longer-term positions. 🎯 Momentum Core Detecting a squeeze is only half the equation — the indicator also includes a momentum engine to determine direction and strength. Price momentum is measured as the distance of Close from its Highest High and Lowest Low range, smoothed with a Simple Moving Average, and refined with Linear Regression. This value is then divided by ATR, normalizing momentum relative to volatility. Optionally, CVD Mode (Cumulative Volume Delta ÷ Volume) can replace price momentum for assets where order-flow and volume dynamics dominate (e.g., crypto). 🦆 Signal Line Momentum is paired with a Simple Moving Average signal line: 🔹Bullish: Momentum > Signal. 🔹Bearish: Momentum < Signal. This crossover logic provides directional bias and filters for false squeezes. 🚀 When to Use Price vs. CVD CVD Mode (Crypto, FX with tick volume): Best for assets with strong volume/order-flow signals. Price Mode (Equities, Commodities, Higher TFs): Best for assets with irregular or thin volume data. 🛢️ATR Zones (context filter) 🛢️ Its design is straightforward yet effective: it measures the difference between the current price from its highest highs, lowest lows, and a moving average over a chosen period, then expresses that difference in terms of the Average True Range (ATR) over the same period. By normalizing price deviations against volatility, ATR provides a clear sense of how far and how fast price is moving relative to its “normal” range. Interpreting the Zone Positive Values: When it is above zero, price is trading above its HH, LL, and moving average, suggesting bullish momentum. The higher the value, the stronger the momentum relative to volatility. Negative Values: When the Momentum is below zero, price is trading below its HH, LL, and moving average, signaling bearish momentum. The deeper the reading, the stronger the downside pressure. Magnitude Matters: Because the Momentum is expressed in ATR units, traders can immediately gauge whether the move is small (less than 1 ATR), moderate (1–2 ATRs), or extreme (3+ ATRs). This makes it especially useful for assessing overbought or oversold conditions in a normalized way. Strengths: 🔹Volatility-Normalized: Unlike simple squeeze momentum oscillators that have different OB/OS levels, this Momentum adjusts for volatility. This makes signals more consistent across assets with different volatility profiles. 🔹Simplicity: ±1 ATR: trending zone (bulls above +1, bears below −1) ±2 ATR: expansion (keep, add, or trail). Stretch/risk of mean reversion. ±3 ATR: potential exhaustion/mean-revert zone. 🔹Momentum Clarity: By framing momentum in ATR terms, it is easier to distinguish between a small deviation from trend and a genuinely significant move. Sometimes it is a good sign that it trend to ±3/2 ATR, looks for similar directional moves. Color: The script shades +2/+3 (OB) and −2/−3 (OS) areas and provides swing alerts at ±1 ATR. 💚 What Are Discontinued Signal Lines (DSL)? 💚 In technical analysis, one of the most common tools for smoothing out noisy data is the signal line. This concept appears in many indicators, such as the MACD or stochastic oscillator, where the raw value of an indicator is compared to a smoothed version of itself. The signal line acts as a lagging filter, making it easier to identify shifts in momentum, crossovers, and directional changes. While useful, the classic signal line approach has limitations. By design, a single smoothed line introduces lag, which means traders may receive signals later than ideal. Additionally, a one-size-fits-all smoothing process often struggles to adapt to different levels of volatility or rapidly changing market conditions. This is where Discontinued Signal Lines (DSL) come in. DSL is an advanced extension of the traditional signal line concept. Instead of relying on just one smoothed comparison, DSL employs multiple adaptive lines that adjust dynamically to the current state of the indicator. These adaptive lines effectively “discontinue” the dependence on a single, fixed smoothing method, producing a more flexible and nuanced representation of market conditions. How DSL Works? Traditional Signal Line: Compares an the Momentum against its own moving average. Provides crossover signals when the raw indicator value moves above or below the smoothed line. Strength: reduces noise. Weakness: delayed signals and limited adaptability. DSL Extension: Uses multiple adaptive lines that respond differently to the indicator’s current behavior. Instead of one static moving average, the DSL approach creates faster and slower “reaction lines.” These lines adapt dynamically, capturing acceleration or deceleration in the indicator’s state. Result: Traders see how momentum is evolving across multiple adaptive thresholds. This reduces false signals and improves responsiveness in volatile conditions. Benefits of Discontinued Signal Lines 🔹Nuanced Trend Detection DSL doesn’t just flag when momentum changes direction—it shows the quality of that shift, highlighting whether it is gaining strength, losing steam, or consolidating. 🔹Adaptability Across Markets Because DSL adjusts to the Momentum’s own dynamics, it works well across different asset classes and timeframes, from equities and futures to forex and crypto. 🔹Earlier Signal Recognition Multiple adaptive lines allow traders to spot developing trends earlier than with a single smoothed signal line, without being overwhelmed by raw indicator noise. 🔹Better Confirmation DSL is particularly useful for confirmation. If both adaptive lines agree then a fill is applied in the direction, confidence in the trend is higher as the color turns bull/bear. 🔹Practical Uses Momentum Trading: Spot acceleration or deceleration in trend strength. Trend Confirmation: Verify whether a breakout has momentum behind it. Noise Filtering: Smooth out erratic moves while retaining adaptability. ⚖️ Colored Directional Movement Index (CDMI) ⚖️ The Directional Movement Index (DMI), created by J. Welles Wilder, is one of the most respected trend-following indicators in technical analysis. It is actually a family of three separate indicators combined into one: the +DI (Positive Directional Indicator), the –DI (Negative Directional Indicator), and the ADX (Average Directional Index). Together, they measure not only whether the market is trending but also the strength of that trend. Traders have used the DMI for decades to identify trend direction, gauge momentum, and filter out periods of market noise. However, despite its reliability, the traditional DMI can be challenging to interpret. Reading three separate lines at once and extracting meaningful signals requires both experience and careful observation. This complexity often discourages newer traders from fully utilizing its power. The Colored Directional Movement Index (CDMI) is a modern reinterpretation of Wilder’s classic tool. It condenses the same information into a single visual line while using color, shape, and density to communicate what’s happening beneath the surface. The goal is simple: make the DMI’s insights faster to read, easier to act upon, and more intuitive to integrate into trading decisions. Key Features of CDMI 🔹Color Scale for Trend Strength The main triangle changes its base color depending on the strength of the DI reading. Dark Red or Green, colors correspond to stronger trends, while faded Gray or lighter yellow tones signal weaker or fading trends. This makes it visually clear when the market is consolidating versus trending strongly. 🔹Color Density for Momentum Beyond strength, the CDMI uses color density to represent momentum in the trend’s strength. If the ADX is rising (trend gaining momentum), the triangles grows more darker. If the ADX is falling (trend losing momentum), the triangle becomes paler. This provides an instant sense of whether a trend is accelerating or decelerating. 🔹Directional Triangles for Trend Direction To replace the separate +DI and –DI lines, the CDMI plots small triangle shapes along the bottom axis. An upward-facing triangle indicates that +DI is dominant, confirming bullish direction. A downward-facing triangle signals –DI dominance, confirming bearish direction. This way, both strength and direction are shown without the clutter of multiple overlapping lines. 🔹Label Display for Detailed Values For traders who want precise data alongside the visuals, CDMI includes a label that shows: Current trend strength (ADX value). Current +DI and –DI values. Momentum status of the ADX (rising or falling). Historical values of DMI readings, so traders can track how the indicator has evolved over time. Tooltips are also available to explain “How to read the colored DMI line”, making this version more beginner-friendly. Why CDMI Matters The CDMI retains the proven reliability of Wilder’s DMI while solving its biggest drawback—interpretation difficulty. Instead of juggling three separate plots, traders get a single, information-rich line supplemented with intuitive shapes and labels. This streamlined format makes trend verification, momentum analysis, and signal confirmation much faster. For trading applications, the CDMI can help: Confirm Entries by showing whether the market is trending strongly enough to justify a position. Avoid False Signals by filtering out periods of low ADX (weak trend). Enhance Timing by tracking momentum shifts in trend strength. By simplifying the complexity of the original DMI into an elegant, color-coded tool, the CDMI makes one of technical analysis’ most advanced indicators practical for everyday use. 😅 The VIX, the Williams Vix Fix, and Market Bottoms 😎 The VIX, formally known as the CBOE Volatility Index, has long been considered one of the most reliable indicators for spotting major market bottoms. Often referred to as the “fear gauge,” it measures the market’s expectation of volatility in the S&P 500 over the next 30 days. When fear grips investors and volatility spikes, the VIX rises sharply. Historically, these moments of extreme fear often coincide with powerful buying opportunities, as markets have a tendency to rebound once panic selling exhausts itself. Larry Williams, a well-known trader and author, developed the Williams Vix Fix as a way to replicate the insights of the VIX across any tradable asset. While the VIX itself is tied specifically to S&P 500 options, Williams wanted a tool that could capture similar panic-driven dynamics in stocks, futures, forex, and other markets where the VIX is not directly applicable. His “fix” uses price action and volatility formulas to approximate the same emotional extremes reflected in the official VIX, creating almost identical results in practice. This makes the Williams Vix Fix a powerful addition to the trader’s toolbox, allowing the same principle that works on U.S. equities to be applied universally. One of the most important characteristics of both the VIX and the Williams Vix Fix is that they are far more reliable at signaling market bottoms than market tops. The reason is psychological as much as it is mathematical. At market bottoms, fear and panic are widespread. Retail investors often capitulate, selling in a frenzy as prices drop. This panic drives volatility higher, producing the spikes we see in the VIX. At the same time, professional traders and institutions—those with larger capital and more disciplined strategies—tend to step in when volatility is stretched. They buy when others are fearful, using the panic of retail investors as an opportunity to acquire assets at discounted prices. This confluence of retail panic and institutional buying power is what makes the VIX such a strong bottom-finding tool. In contrast, at market tops, the dynamic is very different. Tops tend not to be marked by panic or fear. Instead, they form quietly as enthusiasm fades, liquidity dries up, and buying interest wanes. Investors are often complacent, assuming prices will continue to rise, while professional money begins distributing their positions. Because there is no surge in fear, volatility remains muted, and the VIX does not offer a clear warning. This is why traders who rely on the VIX or the Williams Vix Fix must understand its limitations: it is exceptional for detecting bottoms but less useful for anticipating tops. For traders, the lesson is straightforward. When you see the VIX or Williams Vix Fix spiking to extreme levels, it often indicates a high-probability environment for a rebound. These tools should not be used in isolation, but when combined with support levels, sentiment indicators, and market breadth, they can provide some of the most reliable bottom-fishing signals available. While no indicator is perfect, few have stood the test of time as consistently as the VIX—and thanks to Williams’ adaptation, its power can now be applied to nearly every market. Indicator Signals (Great in risk-off charts): 🔹Flags spike events (tops/bottoms) with both original and filtered (AE/FE) criteria. 🔹Great as a risk overlay: tighten stops into AE/FE, or require “no spike” to enter. 🤯 Volume Comfirmation: VTTI & VPCI (Buff Dormeier) 🤯 Volume Trend Technical Indicator (VTTI) The Volume Trend Technical Indicator (VTTI) is a momentum-style tool that analyzes how volume trends interact with price movement. Unlike basic volume measures that simply report how many shares or contracts were traded, the VTTI evaluates whether volume is expanding or contracting in the same direction as the prevailing price trend. The underlying logic is that healthy trends are supported by rising volume, while weakening trends often occur on shrinking volume. At its core, VTTI looks at the rate of change in volume compared to price movements. By smoothing and normalizing these relationships, the indicator helps traders determine whether momentum is accelerating, decelerating, or diverging. Rising VTTI: Suggests that volume is confirming the current price trend, strengthening the case for continuation. Flips BG Green after crossing it's signal. Falling VTTI: Indicates that the trend may be losing participation, often a sign of possible consolidation or reversal. Flips BG Red after crossing it's signal. Traders often use VTTI to filter entries and exits. For example, if price breaks out but VTTI does not rise above zero, the breakout may lack conviction. On the other hand, when both price and VTTI are aligned, probability of continuation improves. Volume Price Confirmation Indicator (VPCI) The Volume Price Confirmation Indicator (VPCI), developed by Buff Dormeier, takes the relationship between price and volume a step further. While traditional indicators like On-Balance Volume (OBV) or Chaikin Money Flow look at cumulative patterns, VPCI breaks price and volume into trend and volatility components and then recombines them to measure how well they confirm each other. In essence, VPCI asks: “Does volume confirm what price is signaling?” The formula integrates: Price Trend Component – whether the market is trending upward or downward. Volume Trend Component – whether trading activity supports that price trend. Volatility Adjustments – to account for irregular swings. The resulting oscillator fluctuates around a zero line: Positive VPCI: Indicates that price and volume trends are in agreement (bullish confirmation). Negative VPCI: Suggests that price and volume are diverging (bearish warning or false move). Crossovers of Zero: Can serve as potential buy or sell signals, depending on context. A key strength of VPCI is its sensitivity to divergence. When prices continue rising but VPCI begins falling, it often foreshadows a weakening rally. Conversely, a rising VPCI during a flat or down market can highlight early accumulation. VTTI (Entry Signal) vs. VPCI (Exit Signal) While both indicators study price-volume dynamics, their focus differs: VTTI is simpler, emphasizing the trend of volume relative to price for momentum confirmation. VPCI is more advanced, decomposing both price and volume into multiple components to produce a nuanced oscillator. Used together, they provide complementary insights. VTTI helps quickly spot whether volume is supporting a move, while VPCI offers deeper confirmation and highlights subtle divergences. Note: The Up/Down Volume Alert works better on the 4 HR, for Daily scalps or 30 minute for HR scalps. Intraday it's 2/10 minute. 🦅 Divergence toolkit 🦅 Divergences in Technical Analysis Divergence occurs when the price action of an asset moves in one direction while a technical indicator, such as RSI, MACD, or Momentum, moves in the opposite direction. This disagreement between price and indicator often signals a shift in underlying market dynamics. Traders use divergences to anticipate either potential reversals or continuations in trends. There are two main types of divergences: regular divergences, which typically precede reversals, and hidden divergences, which suggest continuation of the current trend. Regular Divergence (Reversal Signals) A regular divergence occurs when price and indicator disagree during a trend extension. These divergences signal that momentum is no longer fully supporting the current trend and that a reversal may be imminent. 🔹Regular Bullish Divergence Price Action: Forms a lower low. Indicator: Forms a higher low. Interpretation: Price is making new lows, but the indicator is gaining strength. This suggests that selling pressure is weakening, and a reversal to the upside may occur. Example: RSI rising while price dips to fresh lows. 🔹Regular Bearish Divergence Price Action: Forms a higher high. Indicator: Forms a lower high. Interpretation: Price is reaching new highs, but the indicator shows weakening momentum. This implies that buying pressure is fading, warning of a potential downside reversal. Example: MACD histogram falling while price makes higher highs. Regular divergences are often spotted near the end of trends and are most powerful when aligned with key support/resistance levels or overbought/oversold conditions. Hidden Divergence (Continuation Signals) A hidden divergence occurs during retracements within a trend. Unlike regular divergences, hidden divergences suggest that the prevailing trend still has strength and is likely to continue. 🔹Hidden Bullish Divergence Price Action: Forms a higher low. Indicator: Forms a lower low. Interpretation: Price is retracing within an uptrend, but the indicator is overshooting downward. This shows that momentum remains intact, supporting continuation upward. 🔹Hidden Bearish Divergence Price Action: Forms a lower high. Indicator: Forms a higher high. Interpretation: Price is retracing within a downtrend, while the indicator overshoots upward. This indicates that bearish momentum remains strong, supporting continuation downward. Hidden divergences often appear during pullbacks, helping traders time entries in the direction of the prevailing trend. Practical Use of Divergences 🔹Trend Reversal Alerts – Regular divergences are early warnings that a trend may be ending. 🔹Trend Continuation Signals – Hidden divergences help confirm that retracements are simply pauses, not full reversals. 🔹Confluence with Other Tools – Divergences are more reliable when combined with support/resistance, candlestick patterns, or volume analysis. 🔹Multi-Timeframe Analysis – Spotting divergences on higher timeframes often produces stronger signals. 🕭🔔🛎️ Alert 🛎️🔔🕭 🔹Squeeze 🟢 Fired Squeeze ⚫ Low (Wide) Squeeze / 🔴 Normal / 🟡 Tight / 🟣 Very Tight 🔹Momentum 🐂 Bullish Trend Reversal (Crossover of Momentum and Signal from sub −2) 🐻 Bearish Trend Reversal (Crossover of Momentum and Signal from above +2) 📈 Bullish Swing (cross above +1 ATR) / 📉 Bearish Swing (cross below −1 ATR) 🔹DSL 💚 Bullish DSL Scalp / 💔 Bearish DSL Scalp 🔹Volume 🎯 Strong Up Volume (VPCI > 0 and VTTI up) ⏳ Strong Down Volume (VPCI < 0 and VTTI down) 🔹Divergences 🦅 Bullish, 🦆 Bearish, 🦅 Bullish Hidden, 🦆 Bearish Hidden Management: Search Vanguard ETFs in your browser, look up full list of VOO holdings. Download it, or copy paste all the ticker symbols. Place that with a AI, just ask it to place , in between each ticker. NVDA, TSLA, AVGO, etc. Create a new watchlist, in the + add all tickers separated by commas. Place a watchlist alert ⚠️ only available for premium + subscribers. Practical playbook 1) Classic Squeeze Break Setup: 🔴(D)/🟡(2D)/🟣(3D) squeeze → wait for 🟢(1HR) Fired. Confirm: Momentum > Signal and above +1 ATR (or DMI strong & rising). Manage: add on pullbacks that hold +1 ATR; scale near +2 ATR or WVF AE/FE. 2) DSL Scalp in Trend Setup: Clear trend (DMI strong) + DSL bull/bear trigger in the direction of trend. Filter: avoid tight/very tight yellow/purple unless you want micro-scalps. Exit: opposite DSL or ATR midline loss. 3) Mean-Reversion Fade Setup: Momentum extended to ±3 ATR, WVF spike, and a regular divergence. Entry: Counter signal only when mom crosses back through ±3 ATR toward mid. Exit early if squeeze ⚫/🔴, Momentum may extend to ±3/2 ATR in the same direction. Risk: reduce size; this is a fade, not trend following. 4) Volume-Confirmed Breakout Setup: Squeeze → 🟢 Fired + VPCI > 0 and VTTI up → trend continuation. Manage: trail behind +1 ATR (long) or −1 ATR (short). 9 SMA works good. Inputs at a glance (key ones) Mode: Price or CVD momentum; Squeeze Sensitivity (σ); Momentum Length; Signal Length; ATR Smoothing. 🧮 Colors: SQZMOM: per squeeze regime, momentum, ATR fills. DSL: On/Off, Fast/Slow, Length. ATR Zones: Bullish/Bearish levels (±1), ±2/±3 zone lines & fills. DMI: Lengths, key & weak thresholds, label on/off. WVF/VIX: Lookbacks, bands, AE/FE toggles, VIX proxy symbol. VTTI/VPCI: Fast/slow/signal (VTTI), Short/Long (VPCI), and volume source (Tick/CVD/NVI/PVI/OBV/PVT/AccDist/VWAP). Divergences: Regular/Hidden toggles, Sensitivity %, Lifetime, Live vs On-Close, Lines/Labels. 🔎 Suggested defaults (feel free to tweak) Calibration: Size Momentum, so that when it's above zero the asset is trending up. For the signal, it can be kept the same or lower. Intraday (60–240m): σ = 2.0, 18~20, 3~5, DSL Fast, DMI key 23, weak 17. Daily/Weekly: keep σ = 2.0, consider DSL Slow, DMI key 25, weak 20, widen ATR filters; lean on VPCI/VTTI (4-HR). CVD mode: use where tick/volume quality is high (index futures, liquid equities, crypto majors). 🪟 Tips & caveats Swing Screener: Favor liquid underlyings (index futures/ETFs, large caps). Large-Cap, 2 M Vol, Mid-Cap, 500K Vol. Squeeze: BB( 20) upper < KC (20) upper, and BB (20) lower > KC (20) lower. Optional: Price above 9 SMA, 21 SMA, and 50 SMA, they are my SMA of choice. 200 SMA too, unless you are willing to fish in a bear market. Vice-versa for shorts. Optional: ADX 4 HR > 17, or 23 depending on what you are looking for. Scalp Screener: Same as above, change the D 9 SMA to 5, and the BB/KC from D to 1 HR. Scalps may last 2~3 days. Position Screener: Change all daily setting to W, aside from Volume. Optional: PEG < 1.5, FCF > 0, ROA > 8% or ROE > 6%. Good with Moving averages (9/21/50) and low-volume zones. Position size by IV, ATR, and account risk. Consider stop/hedge rules around ±2/±3 ATR. Let alerts stage your watchlist; act only on combined squeeze + momentum signals. Divergences in live mode can repaint (Real-Time); for algo or alerts, use on-close. Tight/Very tight squeezes are great for scalps but choppy; combine with DMI rising + VPCI>0. ±3 ATR is exhaustion context, not an auto-fade—look for WVF/Div/DSL confirmation. For alerts, pair “Fired Squeeze + Bullish Swing” (or bearish) to avoid false starts. 🎯 How to Trade Entry ~ Recap: Tight/very tight squeeze → fires → momentum crosses up (or DSL bull). Exit/Flip: Momentum crosses down into/after expansion or hits +2/+3 ATR with fade signs. Filter: Avoid fresh longs at +3 ATR; avoid fresh shorts at −3 ATR unless fading with confirmation. 📐 Options Integrations ✅ Risk Reversal/Modified Risk Reversal (Bullish: Short Put + Long Call) Use when: Squeeze fires up from 🟡/🟣 and momentum crosses above signal (or zero/DSL). Playbook Entry: On or just after the bullish fire and momentum upcross. DMI or Volume supports trend as well. Structure: Sell a put at/just below the −2 ATR reference (or recent swing support). Buy a call at/above the breakout zone (prior high/mid-range +1 to +2 ATR). A classic risk reversal is a long call plus a short put. That’s a very bullish structure—you gain if the price rallies (via the call), and you collect a premium by selling a put. But it has a naked downside risk. The modified risk reversal fixes that by adding a long lower put (making the short put into a defined put credit spread). Management: If momentum stays above signal, ride toward +2 → +3 ATR. Sell the put near the current price → receive big premium. Buy the lower put → spend part of that premium (risk cap). Buy the call above the current price → spend more, but the short put premium mostly pays for it. Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → reduce. If price retests −1/−2 ATR and holds, you can roll the short put down/out. Breakout = Big Success; No Breakout = you keep the initial credit. Reversal = Max loss is capped by the long lower put. ✅ Iron Condor (Neutral: Short OTM Put Spread + Short OTM Call Spread) Use when: Squeeze is active (🟡/🟣), momentum is flat near zero, and there is no directional edge. 🟢 lasts for around 5~8 bars typically. I measure the historical duration of it, and wait for a range period to occur. Playbook Entry: During compression, set wings outside ±2 ATR (or recent range extremes). I prefer identifying boxes where the rectangle pattern occurs on the chart. Management: Time decay works while price remains trapped in the coil. High-winrate ~80%, but 1 loser can wipe most of the gains. Exits/Adjust: If a squeeze fires and momentum breaks hard one way, close the losing side, consider converting to a vertical or rotating to a directional spread aligned with momentum. 4HR-Bullish, closing one wing: Tip: Align daily/weekly context with your intraday entries. 9 > 50 on Weekly, similar on Daily. Sell premium into compression; switch to directional spreads on expansion and momentum confirmation. ✅ Naked Call/Puts (Directional: 10~30 Delta Calls) Stick to naked calls and puts when the squeezes are fired from either 🔴 or ⚫. Look for Strikes slightly out of the money with an OI and Volume spread less than <10%. If Strike Date is >45, manage 21 Days before expiration. Scalp: Expiration Strikes of 1/4 of the Squeeze period. Leap: Expiration Strikes of 1.75x of the Squeeze period. 📐 Futures Integrations Playbook Entry: Verify if the squeeze on the hourly is red or green, and enter on the 2- or 5-minute during a similar squeeze state. Trend-Following: Traditional 2 Renko Block above 21 SMA and Momentum is bullish, or vice versa. (2~ES, 5~NQ) Structure: Go long at/just below the ATR reference (or recent swing support). Exit below the breakout zone (prior high/mid-range +1 to +2 ATR). Management: If momentum stays above +1 ATR ride toward +2 → +3 ATR, etc. House-money, should be kept. Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → exit. On Renko Charts, lower the sensitivity to 0.7~1. If price retests 0/−1/−2 ATR and holds, you can enter when the 9 SMA flips. The 50 SMA is better for Daily and up; I wouldn't trade against it then. 📌 FOMO Trading Playbook Credits & License Credits: @JF10R (Multi-Timeframe Squeeze), @BigBeluga (DSL), @OskarGallard (Colored DMI base), @ChrisMoody (WVF ideas), @PineCodersTASC (VTTI/VPCI), @EliCobra (Divergence toolkit). License: Mozilla Public License 2.0 (MPL-2.0). Author: © GabrielAmadeusLau
Indicateur Pine Script®
par GabrielAmadeusLau
9
unFair Value Gap Detector [theUltimator5]The unFair Value Gap Detector (uFVG) highlights imbalance zones that form when trend strength is weak but directional pressure spikes—a condition often followed by price reversion back into that level. Unlike the classic 3-candle ICT FVG, this tool is designed to help you have an unFair edge in gap retracement detection by plotting high probability gap reversion opportunities on the current timeframe and the next FIVE (yes five) higher timeframes. What you’ll see: Gap line per event: A single, no-nonsense line at the level price most often returns to. Auto multi-timeframe view: uFVG ladders up through five higher timeframes and shows their levels too—each with its own color. Smart de-clutter: Near-duplicate lines across timeframes are filtered so your chart stays readable. Note: This indicator is intentionally minimalistic visually to minimize chart clutter, while still being an extremely powerful tool Optional visuals: Light background tint during quiet, coiling conditions. Soft fill from price to the active line for quick context. Compact labels that note the price and which timeframe printed it. Why it is unique and effective (the “unfair” edge): Early, practical context: Spots levels near when the imbalance forms—useful before the crowd catches on. Clarity over noise: One line per event. No boxes, no sprawling zones, fewer “maybe” areas. Timeframe confluence: When multiple timeframes cluster around the same price, you’ve got a stronger focal point. Simple risk framing: If price slices through the line decisively, that idea’s done. Next. How to use it: Mean-reversion play: Look for price to tag the line, take profits into it, or fade a first reaction. Continuation play: After the line is “mitigated,” reassess in the original direction. Prioritize by timeframe: Higher-timeframe lines tend to carry more weight. Respect clusters: Multiple lines stacked near one price often mark important pivots. Customization Colors: Separate colors for current and higher-timeframe lines. Toggles: Turn on/off background highlights, line-to-price fill, and labels. Minimal fuss: The rest is auto—timeframes, line lifecycle, and de-duplication are handled for you.
Indicateur Pine Script®
par TheUltimator5
Dual Best MA Strategy AnalyzerDual Best MA Strategy Analyzer (Lookback Window) What it does This indicator scans a range of moving-average lengths and finds the single best MA for long crossovers and the single best MA for short crossunders over a fixed lookback window. It then plots those two “winner” MAs on your chart: Best Long MA (green): The MA length that would have made the highest total profit using a simple “price crosses above MA → long; exit on cross back below” logic. Best Short MA (red): The MA length that would have made the highest total profit using “price crosses below MA → short; exit on cross back above.” You can switch between SMA and EMA, set the min/max length, choose a step size, and define the lookback window used for evaluation. How it works (brief) For each candidate MA length between Min MA Length and Max MA Length (stepping by Step Size), the script: Builds the MA (SMA or EMA). Simulates a naïve crossover strategy over the last Lookback Window candles: Long model: enter on crossover, exit on crossunder. Short model: enter on crossunder, exit on crossover. Sums simple P&L in price units (no compounding, no fees/slippage). Picks the best long and best short lengths by total P&L and plots those two MAs. Note: Long and short are evaluated independently. The script plots MAs only; it doesn’t open positions. Inputs Min MA Length / Max MA Length – Bounds for MA search. Step Size – Spacing between tested lengths (e.g., 10 tests 10, 20, 30…). Use EMA instead of SMA – Toggle average type. Lookback Window (candles) – Number of bars used to score each MA. Needs enough history to be meaningful. What the plots mean Best Long MA (green): If price crosses above this line (historically), that MA length produced the best long-side results over the lookback. Best Short MA (red): If price crosses below this line (historically), that MA length produced the best short-side results. These lines can change over time as new bars enter the lookback window. Think of them as adaptive “what worked best recently” guides, not fixed signals. Practical tips Timeframe matters: Run it on the timeframe you trade; the “best” length on 1h won’t match 1m or 1D. Step size trade-off: Smaller steps = more precision but heavier compute. Larger steps = faster scans, coarser choices. Use with confirmation: Combine with structure, volume, or volatility filters. This is a single-factor tester. Normalization: P&L is in raw price units. For cross-symbol comparison, consider using one symbol at a time (or adapt the script to percent P&L). Limitations & assumptions No fees, funding, slippage, or position sizing. Simple “in/out” on the next crossover; no stops/targets/filters. Results rely on lookback choice and will repaint historically as the “best” length is re-selected with new data (the plot is adaptive, not forward-fixed). The script tests up to ~101 candidates internally (bounded by your min/max/step). Good uses Quickly discover a recently effective MA length for trend following. Compare SMA vs EMA performance on your market/timeframe. Build a playbook: note which lengths tend to win in certain regimes (trending vs choppy). Not included (by design) Alerts, entries/exits, or a full strategy report. It’s an analyzer/overlay. If you want alerts, you can add simple conditions like: ta.crossover(close, plotLongMA) for potential long interest ta.crossunder(close, plotShortMA) for potential short interest Changelog / Notes v1: Initial release. Array-based scanner, SMA/EMA toggle, adaptive long/short best MA plots, user-set lookback. Disclaimer This is educational tooling, not financial advice. Test thoroughly and use proper risk management.
Indicateur Pine Script®
par muhammadwasu
AlgoGram Trend Identifier📊 Algogram Trend Identifier (ATI) The Algogram Trend Identifier (ATI) is a powerful trend-following oscillator designed to help traders identify market direction, momentum strength, divergences, and consolidation zones across multiple timeframes. 🔑 Key Features: Multi-Timeframe Presets – Choose from 5m, 15m (default), 30m, 1h, and Daily for optimized settings. Adaptive ALMA Calculation – Uses ALMA smoothing with dynamic thresholds to detect clean trend shifts. Trend Highlighting – Visual coloring of oscillator and optional bar coloring for quick market bias recognition. Customizable Thresholds & Bands – Fine-tune upper/lower thresholds, consolidation zones, and band multipliers. Consolidation Detection – Highlights when the market is moving sideways with adjustable parameters. Divergence Detection – Automatically detects bullish & bearish divergences with optional lines and dots. Dynamic Alerts – Built-in alerts for: Crossing thresholds Zero line crosses Uptrend / Downtrend detection Bullish / Bearish divergences RMS consolidation breakouts 🎯 How to Use: Above Zero Line → Bullish trend bias. Below Zero Line → Bearish trend bias. Consolidation Zone → Market may range or prepare for breakout. Bullish Divergence → Potential reversal to upside. Bearish Divergence → Potential reversal to downside. ⚡ Best For: Swing Traders, Scalpers, and Positional Traders Identifying trend strength, early reversals, and breakout opportunities Works on stocks, crypto, forex, and indices
Indicateur Pine Script®
par AlgoGram
Scalping MasterMarket Structure Analysis: Swing Structure: Detects higher highs (HH), lower highs (LH), higher lows (HL), aur lower lows (LL) ko identify karta hai using pivot points (based on ta.highest aur ta.lowest). Internal Structure: Chhote timeframes ke liye internal swing points aur break of structure (BOS)/change of character (CHoCH) ko track karta hai. BOS/CHoCH Detection: Bullish aur bearish structure breaks (BOS) aur trend reversals (CHoCH) ko label karta hai. Order Blocks (OB): Internal Order Blocks: Chhote timeframe ke order blocks ko plot karta hai, jo liquidity zones ko represent karte hain. Swing Order Blocks: Bade timeframe ke order blocks ko show karta hai. Filtering: ATR ya Cumulative Mean Range ke basis par volatile order blocks ko filter karta hai. Fair Value Gaps (FVG): Price gaps (bullish aur bearish) ko detect aur plot karta hai. Auto-threshold aur timeframe customization ke saath FVGs ko filter karta hai. FVGs ko extend karne ka option deta hai (visual representation ke liye). Equal Highs/Lows (EQH/EQL): Equal highs aur lows ko identify karta hai, jo support/resistance zones ke liye useful hote hain. Bars confirmation aur sensitivity threshold ke saath customizable hai. Previous Highs/Lows (MTF): Daily, weekly, aur monthly high/low levels ko plot karta hai. Line style (solid, dashed, dotted) aur colors customizable hain. Premium/Discount Zones: Market ke premium, equilibrium, aur discount zones ko highlight karta hai, jo price action ke liye key areas hote hain. Visual Customization: Color Themes: Colored ya monochrome themes ke options. Candle Coloring: Trend ke hisaab se candles ko color karta hai. Labels aur Lines: Swing points, strong/weak highs/lows, aur structure breaks ke liye labels aur lines plot karta hai. Modes: Historical Mode: Past data ke saath complete structure dikhata hai. Present Mode: Sirf recent structure aur signals dikhata hai, clutter reduce karne ke liye. Alerts: Bullish/Bearish BOS, CHoCH, order block breaks, aur EQH/EQL ke liye alerts set karne ka option. Swing Points aur Trailing: Strong/weak high aur low points ko track karta hai. Trailing maximum/minimum ko extend karta hai for real-time analysis. Kya Kya Mila Kar Bana Hai? Yeh indicator Smart Money Concepts ke core principles par based hai aur in elements ko combine karta hai: Pivot Point Analysis: ta.highest aur ta.lowest functions se swing highs/lows detect karta hai. Internal aur swing structure ke liye alag-alag lengths (e.g., length aur 5 for internal swings). Price Action Concepts: Break of Structure (BOS): Jab price pivot high/low ko break karta hai. Change of Character (CHoCH): Jab trend reverse hota hai. Confluence filtering ke saath accuracy improve karta hai. Order Blocks: Liquidity zones ko identify karne ke liye high/low ranges aur ATR/cumulative mean range ka use. Bullish aur bearish order blocks ke liye customizable colors. Fair Value Gaps: Gaps in price action ko detect karne ke liye OHLC data ka analysis. Timeframe aur auto-threshold ke saath flexibility. MTF (Multi-Timeframe) Analysis: Daily, weekly, monthly high/low levels ke liye ta.valuewhen aur time-based calculations. Zones Detection: Premium, equilibrium, aur discount zones ke liye price range calculations. Visual Tools: Lines, labels, aur boxes ke saath market structure ko visually represent karta hai (line.new, label.new, box.new). Extendable lines aur boxes for better visibility. User Inputs: Customizable settings jaise timeframe, colors, lengths, aur filters, jo user ko flexibility dete hain. Technical Components PineScript Functions: ta.crossover, ta.crossunder, ta.highest, ta.lowest, ta.atr, ta.cum for calculations. Arrays: Order blocks ke coordinates store karne ke liye (array.new_float, array.new_int, array.new_box). Drawing Tools: Lines, labels, aur boxes ke saath dynamic plotting. Conditional Logic: BOS, CHoCH, aur other signals ke liye complex conditions. Timeframe Support: Multi-timeframe analysis ke liye input.timeframe.
Indicateur Pine Script®
par TradeSnipers
1
DCA Cost Basis (with Lump Sum)DCA Cost Basis (with Lump Sum) — Pine Script v6 This indicator simulates a Dollar Cost Averaging (DCA) plan directly on your chart. Pick a start date, choose how often to buy (daily/weekly/monthly), set the per-buy amount, optionally add a one-time lump sum on the first date, and visualize your evolving average cost as a VWAP-style line. Features Customizable DCA Plan — Set Start Date , buy Frequency (Daily / Weekly / Monthly), and Recurring Amount (in quote currency, e.g., USD). Lump Sum Option — Add a one-time lump sum on the very first eligible date; recurring DCA continues automatically after that. Cost Basis Line — Plots the live average price (Total Cost / Total Units) as a smooth, VWAP-style line for instant breakeven awareness. Buy Markers — Optional triangles below bars to show when simulated buys occur. Performance Metrics — Tracks: Total Invested (quote) Total Units (base) Cost Basis (avg entry) Current Value (mark-to-market) CAGR (Annualized) from first buy to current bar On-Chart Summary Table — Displays Start Date, Plan Type (Lump + DCA or DCA only), Total Invested, and CAGR (Annualized). Data Window Integration — All key values also appear in the Data Window for deeper inspection. Why use it? Visualize long-term strategies for Bitcoin, crypto, or stocks. See how a lump sum affects your average entry over time. Gauge breakeven at a glance and evaluate historical performance. Note: This tool is for educational/simulation purposes. Results are based on bar closes and do not represent live orders or fees.
Indicateur Pine Script®
par endizio3433
Smart Index Levels — GSK-VIZAG-AP-INDIA📌 Smart Index Levels — GSK-VIZAG-AP-INDIA Smart Index Levels is a versatile support and resistance plotting tool designed for intraday, weekly, and monthly analysis. It automatically generates key price zones based on user-defined step sizes, helping traders visualize important market levels more clearly. 🔹 Features Daily / Weekly / Monthly Modes Switch easily between daily, weekly, or monthly reference levels. Customizable Level Steps Choose step intervals of 50 or 100 points for cleaner index-based zones. Support & Resistance Zones Auto-draws multiple support and resistance levels around the opening base price. Mid-Level Marking Highlights the nearest “mid” price level for balance reference. Weekly High/Low Tracking (Optional) Plots dynamic weekly high & low levels with dotted lines. Monthly High/Low Tracking (Optional) Displays monthly high & low levels for broader market context. Custom Market Session Timing Define your own market open and close times. Line Style & Colors Fully customizable line styles (solid, dashed, dotted) and colors. ⚙️ How It Works At the start of the selected session (daily, weekly, or monthly), the script identifies the opening reference price. From this base, it calculates and draws support and resistance levels at fixed step intervals. Optionally, it overlays weekly and monthly high/low levels for additional perspective. This provides a structured price map that helps you quickly spot potential reaction zones, without cluttering the chart. 🖥️ Best Use Cases Intraday index traders who want quick reference levels (Nifty, BankNifty, etc.) Swing traders who prefer weekly and monthly zones for context. Anyone looking for clean, rule-based support/resistance plotting. ⚠️ Disclaimer This indicator is for educational and informational purposes only. It does not provide financial advice or trading signals. Always use in combination with your own analysis and risk management.
Indicateur Pine Script®
par prowelltraders
7
Bitcoin Cycles IndicatorTrack Bitcoin's cyclical price patterns across multiple timeframes with this cycle analysis tool. The indicator automatically identifies cycle lows and highs, marking them with clear visual labels that show cycle day counts and failed cycle detection. Key Features: Multi-Time frame Support - Optimized settings for Daily, Weekly, Monthly, and Custom time frames Cycle Tracking - Identifies and labels cycle lows (green) and highs (red) with day counts Failed Cycle Detection - Highlights when cycles break below previous lows Customizable Settings - Adjust cycle lengths, colors, and display options for each timeframe Info Box - Real-time cycle information display with current cycle day count Projection Boxes - Visual cycle length projections for better analysis Perfect for Bitcoin traders and analysts who want to understand market cycles and timing. Works best on Daily charts for short-term cycles and Weekly/Monthly charts for longer-term analysis.
Indicateur Pine Script®
par dirtpupfc
5
MomentumQ DashMomentumQ Dash – Multi-Timeframe & Watchlist Dashboard The MomentumQ Dash is a professional dashboard-style indicator designed to help traders quickly evaluate market conditions across multiple timeframes and assets. Unlike single-signal tools, MomentumQ Dash consolidates market regime, buy/sell conditions, and pre-signal alerts into an easy-to-read table, allowing traders to stay focused on actionable setups without flipping between charts. All signals displayed in MomentumQ Dash are derived from the MomentumQ Oscillator (MoQ Osci) , our proprietary tool designed to identify momentum shifts and adaptive buy/sell conditions. By integrating these signals into a dashboard format, MomentumQ Dash provides a structured overview of the market that is both comprehensive and easy to interpret. A unique advantage of this tool is the dual-table system: A timeframe table that tracks the current symbol across five user-defined timeframes. A watchlist table that monitors up to five different assets on the same timeframe. This combination gives traders a complete market overview at a glance, supporting both intraday and higher-timeframe strategies. Key Features 1. Multi-Timeframe Signal Dashboard Tracks buy, sell, pre-buy, and pre-sell conditions for up to 5 configurable timeframes. Highlights market regime (Bull/Bear) with background colors for quick visual recognition. Displays the last detected signal and how many bars ago it occurred. 2. Watchlist Asset Table Monitor up to 5 custom symbols (e.g., indices, commodities, crypto pairs) in one view. Independent timeframe selection for the watchlist table. Clean symbol display with exchange prefixes automatically removed. 3. Flexible Layout & Theme Integration Choice of table position (Top Right, Middle Right, Bottom Right) for each table. Light/Dark mode setting for seamless chart integration. Compact, minimal design to avoid clutter. 4. MoQ Osci Signal Engine Signals are powered by the MomentumQ Oscillator (MoQ Osci), which uses adaptive momentum analysis. Identifies early pre-signals (potential setup zones) as well as confirmed buy/sell events. Helps traders recognize transitions in market structure without lagging indicators. How It Works Timeframe Analysis The indicator calculates MoQ Osci signals on each timeframe. When price deviates beyond upper/lower adaptive thresholds, buy/sell signals are generated. Pre-signals are displayed when price approaches these zones, offering early alerts. Trend Regime Detection Regime is derived from MoQ Osci’s momentum distance relative to its adaptive mean. Bull regime = positive momentum bias; Bear regime = negative momentum bias. This provides a simple but reliable context for trade direction. Watchlist Tracking Signals are calculated identically for each custom symbol selected by the user. Results are presented in a compact table, making it easy to spot alignment or divergence across markets. How to Use This Indicator Use the Timeframe Table to align intraday setups with higher-timeframe context. Monitor the Watchlist Table to track correlated assets (e.g., SPX, NDX, VIX, Oil, Gold). Pay attention to pre-buy / pre-sell warnings for early setup confirmation. Use the “Last” column to quickly check the most recent signal and its timing. Combine with your existing price action strategy to validate entries and exits. This indicator works on all TradingView markets: Forex, Stocks, Crypto, Futures, and Commodities. Why Is This Indicator Valuable? Provides a complete dashboard view of market conditions in one place. Combines multi-timeframe confirmation with multi-asset monitoring . Signals are based on the proven MoQ Osci tool , ensuring consistency across strategies. Saves time and reduces the need to constantly switch charts. Fully customizable to match any trading workflow. Example Trading Approaches 1. Multi-Timeframe Alignment Wait for a buy signal on the lower timeframe (e.g., 15m) while the higher timeframe (1h/4h) is in Bull regime. Enter long with higher-timeframe confirmation, improving trade probability. 2. Cross-Market Confirmation If SPX and NDX both trigger sell signals while VIX shows a buy, this may confirm risk-off sentiment. Use this confluence to support trade decisions in equities or correlated markets. 3. Pre-Signal Monitoring Watch for PB (Pre-Buy) or PS (Pre-Sell) warnings before confirmed signals. These can highlight potential breakout or reversal zones before they occur. Disclaimer This indicator is a technical analysis tool and does not guarantee profits. It should be used as part of a complete trading plan that includes risk management. Past performance is not indicative of future results.
Indicateur Pine Script®
par MomentumQ