Inizia

Multitimeframeanalysis

Adaptive Swing Matrix | MouryaThis indicator provides a Multi-Timeframe (MTF) table matrix designed to display the real-time states of several standard momentum and trend indicators across 11 user-defined timeframes simultaneously. The primary purpose of this script is to consolidate chart real estate. By organizing MTF data into a single table, it allows users to monitor higher-timeframe trends and oscillator states without needing to continuously switch chart intervals or clutter their screen with multiple lower panes. Indicator Logic & Components: This matrix tracks the following standard indicators across the user's chosen timeframes: Trend (EMA Crossover): Evaluates a fast EMA crossing a medium or slow EMA, filtered by a macro 200-period baseline EMA. RSI (Relative Strength Index): Displays the current RSI value, color-coded based on user-defined breakout/breakdown thresholds. MFI (Money Flow Index): Displays volume-weighted momentum. ADX (Average Directional Index): Evaluates trend strength to filter out sideways consolidation periods. MACD (Moving Average Convergence Divergence): Evaluates the relationship between the MACD line and the Signal line relative to the zero-line. The matrix uses the following acronyms to display the exact MACD state: AZPCO: Above Zero, Positive Crossover (MACD is > 0 and MACD > Signal) AZNCO: Above Zero, Negative Crossover (MACD is > 0 and MACD < Signal) BZPCO: Below Zero, Positive Crossover (MACD is < 0 and MACD > Signal) BZNCO: Below Zero, Negative Crossover (MACD is < 0 and MACD < Signal) VWAP (Volume Weighted Average Price): Displays the current VWAP value and highlights if the closing price is currently holding above or below the baseline. NASDAQ:INTC Matrix Features: Customizable Timeframes: Users are not restricted to default intervals. You can input custom minute, hour, day, week, or month intervals for all 11 rows via the settings menu. Overall Consensus Score: The bottom row of the table evaluates a 7-timeframe core grouping. If a strict majority of these selected timeframes share the same trend direction, it outputs a unified directional signal. Visual Chart Overlays: Users can optionally enable the EMA lines and VWAP bands on their main chart. These visual elements have been strictly segregated in the indicator's Style tab for easy toggling. All backend settingsโ€”including lengths, source data, and trigger thresholds for the RSI, MFI, and ADXโ€”are fully unlocked in the inputs menu for personal customisation.
Indicatore Pine Scriptยฎ
di RajMouryaReddy
ATR Fibonacci Trend Envelopes [BigBeluga]ATR Fibonacci Trend Envelopes is a professional-grade trend-following and mean-reversion framework. It combines the volatility-filtering power of Average True Range (ATR) with the mathematical precision of the Fibonacci Golden Ratio to define high-probability "buy/sell pockets" within an established trend. Equipped with a live Multi-Timeframe (MTF) dashboard, this indicator allows traders to monitor trend alignment across four different time horizons simultaneously, ensuring that local entries are always supported by the broader market structure. ๐Ÿ”ต THE DUAL-ENGINE FRAMEWORK Volatility-Adjusted Trend Engine: The indicator uses a customizable Moving Average (SMA, EMA, HMA, etc.) combined with an ATR multiplier to create dynamic envelopes. This filters out market noise and only signals a trend change when price decisively breaks the volatility boundary. Dynamic Golden Pocket (0.618 - 0.786): Unlike static retracements, these Fibonacci levels are calculated relative to the current ATR envelope. The "Pocket" acts as a high-interest zone where price is expected to find support (in uptrends) or resistance (in downtrends). Predictive Slope Projections: Using the current rate of change, the script projects the trend and Fibonacci levels into the future. This allows traders to visualize where "Value" will be in the coming bars, facilitating better trade planning and order placement. ๐Ÿ”ต CORE ARCHITECTURE MTF Alignment Dashboard: A real-time table tracks the trend status and "Pocket" proximity across four timeframes. A "BULL" status combined with an "INSIDE" pocket signal across multiple timeframes indicates a high-confluence institutional setup. Dynamic Transparency Feedback: The visual intensity of the Golden Pocket adapts based on price proximity. As price approaches the mid-point of the pocket, the colors become more saturated, providing an intuitive visual cue that the market is entering a high-probability reversal zone. Momentum-Driven Basis: The trend baseline (1.0 level) acts as the ultimate anchor. As long as price remains above this volatility-adjusted line in a bullish regime, the trend is considered structurally sound. ๐Ÿ”ต FEATURES Multi-MA Versatility: Choose from 5 different moving average types to calculate your trend basis, allowing the indicator to be tuned for slow-moving macro trends or fast-moving scalping setups. Real-Time Level Labels: Clear, real-time labels (0.5, 0.618, 0.786, 1.0) on the right axis provide exact price targets and stop-loss anchors at a glance. Customizable Projection Length: Adjust how far the indicator looks into the "future," allowing you to anticipate structural shifts before they occur on the chart. Adaptive UI Positioning: The dashboard can be moved to any corner of the chart and scaled to match your screen resolution, ensuring it never interferes with your technical analysis. ๐Ÿ”ต STRATEGIC APPLICATION The "Golden" Pullback: In a confirmed Bull trend (Cyan baseline), wait for price to enter the Dynamic Golden Pocket. Use the saturation of the baseFill color to identify the core of the value zone for a long entry. MTF Confluence Trading: Only take trades when at least three timeframes on the dashboard show the same trend direction. If the 1H and 4H are "BULL" while the 15m enters the "INSIDE" pocket, you have a high-probability trend-continuation setup. Volatility Breakouts: Monitor the distance between the baseline and the 0.5 Fib. When the ATR-based envelopes contract, a volatility breakout is imminent. A "โฆฟ" label signal combined with a price cross of the 1.0 level marks the start of a new momentum cycle. Dynamic Exit Planning: Use the projected 0.5 or 0.618 levels as trailing profit targets. Because these levels adjust for both price and volatility, they represent a mathematically "fair" area to take chips off the table. ATR Fibonacci Trend Envelopes bridges the gap between classic technical analysis and modern volatility modeling. By combining MTF awareness with the natural pull of the Fibonacci ratios, it provides a clear, actionable map for navigating any market condition.
Indicatore Pine Scriptยฎ
di BigBeluga
10
RSI MTF Dashboard + RSI/ATR-Based Volatility ZonesRSI MTF (multi-timeframe) Dashboard + RSI/ATR-Based Volatility Zones is a multi-timeframe RSI alignment dashboard built to connect RSI structure, timeframe agreement, and chart-side price context into one organized workflow. Instead of treating RSI as a single value on one timeframe, this script reads RSI across a full stack of timeframes and organizes that information into a compact table, a chart-side Stack Trend, an ATR-based envelope, a bottom-pinned bias strip, optional RSI-colored candles, and localized Bull/Bear pressure markers. The goal is to make it easier to see whether the broader RSI timeframe stack is supporting price, resisting price, mixed, or transitioning. At the center of the script is the MTF RSI table. The table can display timeframe rows from 1 minute through monthly, with each row showing: โžก๏ธ Current RSI โžก๏ธ Current RSI vs Previous RSI โžก๏ธ RSI SMA 20 โžก๏ธ RSI SMA 50 โžก๏ธ SMA slope arrows โžก๏ธ Live bar timer information โžก๏ธLower-timeframe and higher-timeframe RSI averages RSI is often more useful when read as a set of relationships instead of one isolated number. A single RSI value can show strength or weakness, but RSI in relation to its prior value, RSI SMA 20, RSI SMA 50, and higher timeframe context gives a cleaner view of whether momentum is building, fading, rotating, or staying aligned. The chart-side MTF RSI Stack Trend is where the table becomes more than just a dashboard. Each enabled timeframe row contributes to a full-stack RSI bias score using four relationships: โžก๏ธ Current RSI regime โžก๏ธ Current RSI vs Previous RSI โžก๏ธ Current RSI vs RSI SMA 20 โžก๏ธ Current RSI vs RSI SMA 50 Those scores are combined into one MTF Stack Bias reading. When the stack leans bullish, the Stack Trend can project below price like a support-style trail. When the stack leans bearish, it can project above price like a resistance-style trail. When the stack is mixed or transitioning, the trail can fall back into a neutral state. That gives the chart one clean read of the broader RSI stack instead of forcing the user to mentally combine every row in the table. The MTF Stack ATR Envelope expands that idea into a broader volatility zone. The envelope is built around the Stack Trend system and can reference the chart Stack Trend, a higher-timeframe Stack Trend, or the midpoint between both. This creates a volatility-adjusted zone around the broader RSI stack context. The practical use is to help answer questions like: โžก๏ธ Is price stretched away from the active RSI stack trail? โžก๏ธ Is price trading inside the broader stack envelope? โžก๏ธ Is the chart trail aligned with the higher-timeframe trail? โžก๏ธ Is the stack acting more like support, resistance, or transition? The MTF Stack Bias Trend Strip gives another view of the same engine. Instead of projecting the stack onto price, the strip shows the raw MTF Stack Bias as a compact gradient along the bottom of the chart. This makes it easier to see when the broader stack is: โžก๏ธ strengthening bullish โžก๏ธ strengthening bearish โžก๏ธ fading back toward neutral โžก๏ธ chopping through mixed conditions โžก๏ธ transitioning from one regime to another The color behavior is intentionally visual. Stronger bullish readings can push toward yellow/orange, stronger bearish readings can push toward purple/extreme purple, and mixed readings stay closer to neutral. The optional RSI Trend Candle Overlay brings the RSI color engine directly onto the main chart. Price candles still keep normal OHLC structure, but their body, wick, and border colors can reflect the current chart-timeframe RSI state. This makes it easier to see RSI strength, weakness, stretch, or neutrality without constantly checking a separate pane. The Bull/Bear markers add a more localized pressure layer. These markers use a Price Action-style adaptive overbought/oversold engine built from a short Wilder-style high/low channel and adaptive trigger levels. They can be shown as raw pressure markers or filtered so bullish markers only appear during bullish stack regimes and bearish markers only appear during bearish stack regimes. A practical way to read the script: โžก๏ธ If the table rows are broadly bullish, RSI is above its moving-average references, and the Stack Trend is holding below price, the RSI timeframe stack is generally supporting the move. โžก๏ธ If the table rows are broadly bearish, RSI is below its moving-average references, and the Stack Trend is pressing above price, the RSI timeframe stack is generally acting more like resistance. โžก๏ธ If the table rows disagree, the trend strip fades toward neutral, or price is moving back through the envelope, the market may be transitioning or losing clean RSI alignment. โžก๏ธ If the Bull/Bear markers agree with the active Stack Trend regime, they may help highlight localized pressure in the same direction as the broader RSI stack. โžก๏ธ If the markers, candles, table, trail, and trend strip disagree, that disagreement can be useful information by itself because it often points to chop, cooling momentum, or a less directional environment. The value of RSI MTF Table + ATR Envelope Trend is organization. It takes RSI behavior across multiple timeframes and turns it into a connected chart-side framework: table detail, stack bias, trail behavior, volatility zones, candle context, trend strip pressure, and localized markers. While this script is not meant to be a standalone buy/sell signal machine, it certainly has the necessary components and features to be just that once you learn its behavior over multiple timeframes. Used alongside oscillator, pressure, pivot-structure, and divergence tools, this script can also serve as a higher-level RSI alignment dashboard. The table and trend strip help answer whether the broader RSI stack is supporting, resisting, mixed, or transitioning, while companion tools can provide more detailed oscillator-side structure, pressure, pivots, and divergence context. Attribution: this script uses SimpleCryptoLife library helpers for timeframe formatting and higher-timeframe stabilization. Some color-engine concepts, compact transparency-helper style, tiered RSI-style trend-color mapping, and PA-style overbought/oversold triangle concepts were inspired by ideas from SimpleCryptoLifeโ€™s open-source Price Action Trend work. ๐Ÿ’ฅChart examples๐Ÿ’ฅ โž–Bullish structure expectationโž– For this setup to continue developing, I want to see price reclaim the purple chart Stack Trend first, then begin working back toward the blue HTF Stack Trend. The key idea is progression: Price is still trading below both Stack Trend references, so the broader RSI stack is not fully supportive yet. A stronger bullish shift would start with price reclaiming the faster chart-side Stack Trend, then holding above it while the HTF Stack Trend begins to flatten or move underneath price. What Iโ€™m watching: โ€ข Price reclaiming the purple Stack Trend โ€ข Purple Stack Trend turning back into support โ€ข Yellow Stack Trend / envelope behavior improving underneath price โ€ข Blue HTF Stack Trend flattening or moving below price โ€ข Price holding above the prior local structure zone Until that happens, rallies into the purple/blue Stack Trend area are still tests of resistance, not confirmed bullish structure. โž–Follow up to the above chart (Bullish structure follow-through)โž– This is the progression we wanted to see from the prior setup. Earlier, price was still below both the chart Stack Trend and the HTF Stack Trend, so the bullish structure was only an expectation โ€” not confirmation yet. Now price has started to work back into the Stack Trend zone. The short-term RSI rows are strengthening, the bottom Stack Bias strip is shifting back into warmer pressure, and price is pushing into the same area that previously needed to be reclaimed. The key improvement: Price is no longer simply fading below the Stack Trend structure. It is actively testing the trail/envelope area from underneath and beginning to show the early signs of a bullish reclaim attempt. What still matters next: Price needs to hold above the faster chart-side Stack Trend and continue working toward the blue HTF Stack Trend. If that area flips from resistance into support, the bullish structure becomes much cleaner. Until then, this is a bullish attempt in progress โ€” stronger than the prior chart, but still needing confirmation above the broader HTF Stack Trend zone. โž–Repeated Stack Trend failure patternโž– Price repeatedly loses the faster yellow/chart Stack Trend, then attempts to recover back into the purple/blue Stack Trend zone. When price cannot reclaim that upper Stack Trend structure, the purple trail begins acting like resistance and price fades back underneath it. The key read is progression: yellow weakness first, then failed reclaim into purple/blue resistance, followed by bearish continuation if price cannot push back above the broader Stack Trend stack. โž–Bullish Stack Trend support structureโž– This is the stronger version of the bullish reclaim pattern. Price first works above the faster chart Stack Trend, then the trail begins holding underneath price instead of acting as resistance. As the move expands, the broader blue HTF Stack Trend also lifts below price, giving the rally higher-timeframe support. The key read: Yellow/chart Stack Trend supports first, then the HTF Stack Trend confirms underneath. When price holds above both, the RSI stack structure shifts from recovery attempt into stronger bullish continuation. โž–Bearish Stack Trend rejectionโž– Price attempted to recover back into the chart Stack Trend, but the broader blue HTF Stack Trend stayed overhead the entire time. That kept the move capped. Once price failed to reclaim and hold above the purple trail, the Stack Trend structure shifted back into resistance and price faded lower. The key read: A bounce into the chart trail is not enough by itself. If the HTF Stack Trend remains above price, the broader RSI stack can still act like overhead resistance. โž–MTF Stack Bias Trend Stripโž– Yellow/orange shows stronger bullish stack pressure, purple shows stronger bearish stack pressure, and muted/gray transition areas show the stack moving through mixed conditions. The key read: The strip gives a quick visual summary of the broader RSI environment underneath price โ€” making it easier to see when the market is trading with bullish pressure, bearish pressure, or shifting between regimes.
Indicatore Pine Scriptยฎ
di MYNAMEISBRANDON
Market Bias Dashboard (MBD) [SharpStrat]Market Bias Dashboard - MBD Trading without context is like driving with a blindfold on. You see a bullish signal. You enter. Price reverses immediately. Why? Probably because the signal was real but the context was wrong. You were probably buying at the top of a range into a fading trend against a higher timeframe that was screaming bearish. The signal didn't lie to you. You just didn't have the full picture. MBD gives you the full picture. It's a context dashboard that sits on your chart and answers the most important question in trading before you even think about entering: What is this market actually doing right now? Not a buy signal. Not a sell signal. Just pure honest market context, measured four different ways, on two timeframes at once, updated every single bar. The reason it uses four separate components rather than one is deliberate. Any single measurement of the market is incomplete. Structure alone doesn't tell you if the trend has momentum behind it or if it's running out of steam. Momentum alone doesn't tell you where price sits in the bigger range. Volatility alone doesn't tell you the direction. Each component fills in a blind spot that the others have, and together they give you a picture that none of them could give alone. How it was built โ€” the thinking behind it Most context indicators fail because they either use one measurement or they combine things in a way that makes the output a black box. MBD was built differently. Every component measure something completely separate, so if one is broken or noisy the others still give you useful information. And every component's reading is visible individually, so you always know why the combined bias says what it says. The four things it measures are the four things that define market behaviour at any point in time i.e. direction, position, energy, and state. Take away any one of them and your read of the market is incomplete. Component 1 โ€” Structure The foundation. Before anything else, you need to know which direction the market is moving. Structure is determined by looking at real swing highs and swing lows actual turning points in price, confirmed by a configurable number of bars on either side. MBD then compares the last two swing highs and the last two swing lows to each other: Higher High + Higher Low = price is making upward progress = Bullish structure Lower High + Lower Low = price is making downward progress = Bearish structure Mixed = price is going nowhere with conviction = Neutral The key distinction here is that this uses actual pivot points, not a moving average that lags behind price. When price makes a genuine new swing high above the previous one, that is a fact. MBD records it. When structure flips, when a bullish sequence suddenly becomes bearish the dashboard immediately flags it as Transitioning , which is a warning to pay attention even before the other components react. Component 2 โ€” Range Position Knowing the direction is not enough. You also need to know where price currently sits within the bigger picture. Think of it this way if a stock has been trading between 100 and 150 for the past two months and it is currently at 148, the structure might still say bullish. But you are buying right at the top of a two-month range. That is a very different risk than buying the same stock at 108. Range Position solves this. It takes the highest high and lowest low over the last 50 bars (configurable) and calculates exactly where the current price sits inside that range as a percentage. It then displays that as a visual progress bar so you can see it instantly without reading a number: Above 60% โ€” price is in the upper portion of the range, bullish context 40% to 60% โ€” price is in the middle, neutral, no positional edge Below 40% โ€” price is in the lower portion of the range, bearish context This component is especially powerful when it contradicts structure. Bullish structure but range position at 90%? That tension is worth knowing. You are buying a bullish trend right at the top of the range the exact level where sellers tend to appear. MBD puts that conflict in front of you so you can decide what to do with it. Component 3 โ€” Momentum A trend can be intact and dying at the same time. Momentum is what tells you which one it is. Here is something most beginners don't realize: a market can keep making higher highs while simultaneously running out of steam. The direction is still up. The structure still says bullish. But each successive push is covering less ground than the one before it. That is a trend that is exhausting itself and being in it without knowing that is how you get caught in a reversal you did not see coming. MBD measures momentum by tracking the size of recent price swings and comparing them to earlier ones. How much distance each swing is covering relative to past swings. Then it smooths that comparison to filter out noise. Swings getting bigger = Accelerating. The trend has fuel. It is building, not dying. Swings roughly the same size = Steady. Trend is continuing at a consistent pace. Swings getting smaller = Fading. Energy is leaving the move. Proceed with caution. The most powerful combination is Bullish structure + Accelerating momentum. That is a market with direction and energy behind it. The most dangerous combination is Bullish structure + Fading momentum a trend that looks fine on the surface but is quietly breaking down underneath. Component 4 โ€” Volatility Market cycle between expansion and contraction. This component tells you which phase you're in. After a big move, markets tend to calm down and compress. Volatility drops. Ranges tighten. Then at some point the compression end and when it does, the next move tends to be sharp and clean. Understanding where you are in that cycle completely changes how you should be treating the market. MBD measures this by comparing the current ATR (Average True Range a measure of how much price is actually moving bar to bar) against its own longer-term average. Three states are possible: Expanding โ€” the market is moving more than usual. Trends are active and clean. Good environment for trend following entries. Normal โ€” Volatility is around its historical average. Market is in a typical state, nothing exceptional to flag. Coiling โ€” Volatility has contracted significantly below normal. The market is compressing like a spring. It will not stay this quiet forever. When you see Coiling on the dashboard, a breakout is typically approaching. It does not tell you the direction but it tells you to pay attention, tighten your stops if you are in a trade, and have a plan ready. Many of the cleanest, most explosive moves in any market come directly out of a coiling period. The combined bias Each component scores +1 for a bullish reading, -1 for bearish, and 0 for neutral. Those scores are added up and the total maps to these labels: โ–ฒ Strong Bullish โ€” most or all components aligned bullish โ–ฒ Moderate Bullish โ€” clear bullish lean with some components neutral โ–ฒ Weak Bullish โ€” marginal bullish lean, proceed carefully โ—† Ranging โ€” no directional edge at all โ–ผ Weak / Moderate / Strong Bearish โ€” same logic in the bearish direction โšก Coiling โ€” breakout approaching, direction unclear. โ†” Transitioning โ€” structure just flipped. Wait for confirmation. The bias label is visible for both your current timeframe and your higher timeframe simultaneously, so you always have both perspectives in front of you. Multi-Timeframe At the bottom of the component section there is a TF Alignment row. This is arguably the most valuable reading in the entire indicator. It tells you whether your current timeframe and your higher timeframe are saying the same thing: Aligned โ€” both timeframes agree on direction. This is where the highest probability setups live. When you are bullish on the 15-minute and the 4-hour is also bullish, you have the wind at your back. Conflicting โ€” the timeframes disagree. You might be seeing a bullish setup on your trading timeframe but the higher timeframe is bearish. That does not mean you can't trade but you are fighting the bigger picture, and that should affect your position size and your expectations. Mixed โ€” partial agreement. Somewhere in between. The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely. The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely. Past Bias Trail The trail row shows the last 10 bias states the market has moved through, from oldest on the left to newest on the right. Each symbol represents a complete past bias when the bias changed state. This filters out noise and shows you meaningful shifts. Three patterns to watch for: Consistent โ€” sustained bullish symbols across most of the trail. This tells you the market has been in a clean trend for a while and the current bullish reading is not new it has been the dominant state. Trade with it. Choppy โ€” random mix of bullish, bearish, and neutral. The market has been going nowhere with conviction for a while. Even if the current bias looks bullish, history says this market cannot hold a direction. Reduce size or sit out. Reversal โ€” bearish, then ranging, then coiling, then transitioning, then bullish. This is a textbook reversal building over time. Each step makes sense in sequence. This is the kind of trail that tells you a genuine directional shift has happened and the new bias has momentum behind it. How to Use Each step builds context, so following a consistent flow helps you understand not just what the market is doing, but whether itโ€™s worth trading at all. 1: Check Timeframe Alignment - Start by comparing your current timeframe with the higher timeframe. When both are aligned, the market has directional agreement and trades carry higher probability. If they conflict, you are trading against the broader trend, which increases risk. Mixed conditions usually indicate uncertainty. At this stage, you are simply deciding whether the environment is favorable enough to proceed. 2: Read the Overall Bias - A strong bias means multiple factors are supporting the same direction, while a weak or neutral bias suggests there is no clear edge. This step helps you quickly judge whether the market has conviction or is just moving without structure. 3: Understand the Components - Look at structure, range position, momentum, and volatility together. These components explain why the bias exists. For example, a bullish bias supported by strong structure and accelerating momentum is very different from a bullish bias where momentum is already fading. 4: Evaluate Entry Location - Before entering, check where price sits within its range. Even in a strong trend, entering near extremes increases risk. Good trades come from combining direction with reasonable positioning, not chasing price at the edges. 5: Confirm Momentum Momentum tells you if the move still has strength. Accelerating momentum supports continuation, while fading momentum warns that the move may be weakening. This helps you avoid entering late into exhausted trends. 6: Check Volatility Now assess the volatility state. Expanding volatility supports trending moves, while coiling indicates compression and a potential breakout. During coiling phases, it is usually better to wait for confirmation rather than predict direction. 7: Review Recent History Finally, glance at the bias history trail. A consistent sequence suggests a stable trend, while a mixed sequence indicates choppy conditions. This adds context and helps you judge whether the current state is likely to hold. Final Decision When alignment, bias, components, and conditions all support each other, you have a strong setup. If they conflict, the better decision is often to stay out. SETTINGS Swing Length โ€” How strict the pivot detection is. Higher = fewer but more significant swings detected (default: 5) Range Lookback โ€” How many bars define the recent high/low range (default: 50) ATR Period โ€” Bars used to measure current volatility (default: 14) ATR Average Period โ€” Volatility baseline (default: 50) Coiling Threshold - How compressed volatility must be to trigger the Coiling state (default: 0.75) Higher Timeframe โ€”Multi timeframe (default: 240 = 4H) History Count โ€” Number of observations in the past bias trail (default: 8) Panel Position โ€” Where the dashboard sits on your chart (default: Top Right) Color Theme โ€” Dark / Light Works everywhere MBD is built to work universally not just on one asset type or one timeframe. The four components it measures are structure, range position, momentum, volatility these exist in every liquid market that has ever traded. Whether you are scalping Bitcoin on the one minute chart, swing trading stocks on the daily, or analyzing forex on the four hour, the dashboard reads the same way and the interpretation is identical. This is not a signal tool . It is a context tool. Use it to understand the market before you enter, not to decide for you.
Indicatore Pine Scriptยฎ
di SharpStrat
Regression Flux Candles [JOAT]Regression Flux Candles Overview Regression Flux Candles renders a parallel candle series on top of price using linear regression applied independently to each of the four OHLC components. The result is a noise-filtered "flux candle" โ€” a linearised representation of current price action that removes the erratic intrabar variation of raw candles and reveals the underlying trend direction with far greater clarity. A signal line (SMA of regression close) produces crossover buy/sell signals. Pivot-anchored support/resistance zones mark structural confluence areas. A six-timeframe MTF trend table provides session bias context. The Linear Regression Candle Concept Standard Japanese candlesticks display the raw open, high, low, and close of each bar โ€” capturing every tick-driven fluctuation including news spikes, stop hunts, and market-maker manipulation. Linear regression candles replace each OHLC component with the endpoint of a linear regression line fitted over the last N bars: - LR Open = ta.linreg(open, length, 0) - LR High = ta.linreg(high, length, 0) - LR Low = ta.linreg(low, length, 0) - LR Close = ta.linreg(close, length, 0) The regression fits a straight line through the last N values of each component and returns the value of that line at the current bar. The resulting candle series is significantly smoother than raw price and acts like a weighted moving average of price structure without introducing the directional lag of traditional MAs. Bullish flux candles (LR close >= LR open) render in teal; bearish in purple. Signal Line and Crossover Logic A simple moving average of the LR close (default 7-bar SMA) acts as a signal line. When the LR close crosses above the signal line, a potential buy signal is generated. When it crosses below, a potential sell signal is generated. Crossovers are filtered by: - Volume filter: Volume must exceed the 20-bar volume SMA (configurable). This ensures signals occur during genuine participation, not thin-market noise. - RSI filter: Buy signals are blocked when RSI(14) >= 70 (overbought); sell signals are blocked when RSI(14) <= 30 (oversold). This prevents buying into extended moves and selling into oversold conditions. - Warmup gate: All signals are suppressed until max(LR_length * 3, EMA_length + 5) bars have elapsed. This prevents the statistical noise of early LR calculations from generating false signals. - Confirmed-bar gate: Signals only fire on barstate.isconfirmed โ€” the final tick of a closed bar โ€” preventing any repainting. Trend EMA A 200-period EMA (configurable length) is plotted as a gold line representing the macro trend bias. Position of price relative to the 200 EMA serves as a context filter that traders can apply manually: long signals above the EMA are higher quality, short signals below it are higher quality. Pivot S/R Zones Swing pivot highs and lows (configurable left/right bars) generate semi-transparent S/R boxes: - Resistance zones (from pivot highs): drawn in the bear colour with 89% transparency - Support zones (from pivot lows): drawn in the bull colour with 89% transparency Each zone extends forward by a configurable width in bars (default 40) from the pivot bar, or can be extended infinitely to the right. A maximum of 6 zones (configurable) are maintained; older zones are deleted as new ones form. Daily Signal Counter The dashboard tracks how many buy and sell signals have fired on the current trading day, resetting at each new daily session (detected via ta.change(time("D"))). This provides a quick intraday reference for signal frequency โ€” useful for understanding whether a session is particularly active or quiet. Multi-Timeframe Trend Table Six independently configurable timeframes are assessed using the same linear regression logic: LR close >= LR open on each HTF = bullish; below = bearish. Each cell displays BULL or BEAR in its directional colour. An alignment counter shows how many of the six timeframes agree with the current LR direction. 5+ aligned = strong directional bias (teal); 1 or fewer = strong counter-trend warning (red); middle values show gold. Inputs Reference Regression Engine - LR Length (11) โ€” lookback for all four linear regression calculations - Signal SMA Length (7) โ€” SMA applied to LR close for crossover signal line - Trend EMA Length (200) โ€” macro bias reference line Filters & Signals - Volume Filter on Signals โ€” require volume > volume SMA - Volume SMA Length (20) - RSI Filter on Signals โ€” block overbought/oversold crossovers - RSI Length (14) S/R Zones - Pivot Left/Right Bars (15/10) โ€” pivot detection sensitivity - Show S/R Zones - Extend Zones to Right โ€” infinite extension toggle - Zone Width (40 bars) โ€” forward extension length when not extending to right - Max Zones to Show (6) MTF Dashboard - Show MTF Table - TF 1โ€“6 โ€” six configurable timeframes (default: 1, 5, 15, 60, 240, D) Visual - Bull / Bear Candle Color โ€” OHLC candle colours for flux candles - Signal Line Color โ€” signal SMA line colour - EMA Color โ€” trend EMA line colour - Show Dashboard How to Use 1. Apply to any liquid market. Use LR length of 9โ€“15 for intraday charts; 20โ€“30 for swing trading. 2. Watch for flux candle colour transitions: a sustained sequence of teal candles above the signal line confirms an uptrend; purple candles below confirm a downtrend. 3. BUY labels appear below the bar when LR close crosses above the signal line with volume and RSI conditions met. SELL labels appear above the bar on crossunders. 4. Prefer signals where the flux candle direction (teal/purple) aligns with the EMA bias AND the MTF table shows 4+ timeframes in agreement. 5. S/R zones from prior pivots serve as target levels and potential reversal points โ€” align entries near these zones for improved risk/reward. Non-Repainting Design All signals require barstate.isconfirmed. MTF data uses lookahead_off. LR calculations use only confirmed historical bars (offset 0 is the current bar's regression endpoint based on past data). Signal labels never move after being stamped on a closed bar. Limitations - Linear regression candles reduce volatility information. In sharp, impulsive markets, the flux candle series will understate the actual price range. Raw candles should be viewed alongside the indicator for context. - Short LR lengths (< 7) make the flux candles nearly identical to raw candles; very long lengths (> 30) introduce significant lag into the signal line crossovers. - The volume and RSI filters may suppress signals during thin trading hours on forex pairs (e.g., Asian session on EUR/USD pairs). Disabling filters during these sessions is a valid adjustment. - S/R zones are drawn from the pivot confirmation bar, not the pivot bar itself (due to the right-bar confirmation delay). Zone left edges are placed correctly but appear N bars after the actual pivot. Disclaimer This indicator is for educational and informational purposes only. Linear regression candles and crossover signals are technical analysis tools and do not predict future price movement. Always use proper risk management and conduct your own analysis. Made with passion by officialjackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
Temporal Candle Grid [JOAT]Temporal Candle Grid Overview Temporal Candle Grid is a multi-timeframe structural confluence indicator that automatically pairs the current chart timeframe with a logical higher timeframe (HTF), fetches the HTF's open, high, low, and close series using non-repainting request.security() calls, and renders the resulting HTF candle geometry as a precision box overlay on the lower timeframe chart. Confirmation counters, buy-side/sell-side liquidity labels, and Fair Value Gap detection operate on confirmed bars only, giving traders a clean, lag-aware view of where HTF price structure begins and ends. Intelligent Auto-Pairing The indicator contains a timeframe pairing table that maps the current chart to a contextually appropriate higher timeframe without any manual configuration: - 1m chart โ†’ 15m HTF - 5m chart โ†’ 1H HTF - 15m chart โ†’ 4H HTF - 1H chart โ†’ Daily HTF - 4H chart โ†’ Weekly HTF - Daily chart โ†’ Monthly HTF This auto-pairing logic ensures the HTF candle shown is always meaningfully larger than the current view โ€” avoiding the degenerate case of pairing a 5m chart with a 10m HTF, which provides almost no additional information. Users may override the auto-pair by specifying a custom HTF via input. Non-Repainting HTF Data Four separate request.security() calls retrieve HTF open, high, low, and close using: - close offset on the HTF series (current-bar data from the HTF is never used) - barmerge.lookahead_off This combination guarantees that the HTF values shown were already fixed before the current bar opened โ€” making the indicator safe for signal generation and alert use without lookahead contamination. HTF Candle Box Rendering The HTF candle is rendered as a transparent box spanning the full high-to-low range, with an inner body box (open-to-close) rendered in the candle direction colour (teal for bullish, red for bearish). At each HTF boundary (detected via ta.change() on the HTF open), the previous candle's boxes are finalised and new boxes begin drawing. This creates a visual grid of HTF candles overlaid on the lower timeframe, making the internal structure of each HTF bar immediately visible. Confirmation Counter for HTF Range Breaks Rather than signalling the moment price crosses an HTF boundary, the engine counts consecutive closes above the HTF high (for bullish breaks) or below the HTF low (for bearish breaks). A break is only confirmed after the count reaches a configurable threshold (default 2 consecutive closes). This eliminates wick-driven false breaks that resolve within the same HTF session. Buy-Side / Sell-Side Liquidity Labels (BSL / SSL) When a confirmed HTF high break occurs, the BSL (buy-side liquidity) level is marked with an upward label at the HTF high. When a confirmed HTF low break occurs, an SSL (sell-side liquidity) label is stamped at the HTF low. These labels persist and serve as reference levels for future pullbacks โ€” common targets in institutional liquidity analysis. Fair Value Gap Detection Running on the current timeframe, the FVG engine identifies three-bar price gaps: - Bullish FVG: Current bar's low is above the high from two bars ago โ€” a gap in downside coverage indicating aggressive buying - Bearish FVG: Current bar's high is below the low from two bars ago โ€” a gap in upside coverage indicating aggressive selling FVG boxes are drawn spanning the gap range and extend forward for 30 bars, rendering as reference zones for expected price return. HTF Candle Projection On the last bar (barstate.islast), the current in-progress HTF candle is projected forward as a semi-transparent dashed box, giving traders a visual reference for the current HTF session's range as it develops in real time. Dashboard A compact table at the bottom right displays: - Current chart TF and detected HTF - HTF candle direction (BULL / BEAR) - Current break confirmation count - Number of active BSL / SSL levels - FVG status (open / filled) for the most recent gap Inputs Reference - Custom HTF Override โ€” leave blank for auto-pair, enter a TF string (e.g., "60") to override - Confirmation Bars Required (2) โ€” consecutive closes beyond HTF range before break is confirmed - Show HTF Candle Boxes โ€” toggles the HTF overlay - Show BSL / SSL Labels โ€” toggles liquidity sweep labels - Show FVG Boxes โ€” toggles fair value gap boxes - FVG Lookback (50) โ€” how many bars back to scan for active FVGs - Max BSL / SSL Labels (10) โ€” prevents label accumulation over long sessions - Theme: Dark, Light, Auto How to Use 1. Apply on a 5m, 15m, or 1H chart. The indicator auto-detects the appropriate HTF. 2. The HTF candle boxes show the full range of each higher-timeframe session. Price tends to respect the HTF open, high, and low as decision levels. 3. Wait for the confirmation counter to reach the threshold before treating a HTF range break as confirmed. 4. BSL labels above prior HTF highs and SSL labels below prior HTF lows indicate pools of resting orders โ€” common institutional sweep targets. 5. FVG boxes within the current HTF candle body often act as intra-session return targets. Non-Repainting Design All HTF data uses close with lookahead_off. Break signals require barstate.isconfirmed. FVG detection is based entirely on confirmed historical bars. The projection box at barstate.islast is explicitly marked as in-progress and does not generate signals. Limitations - Auto-pairing is based on standard timeframe relationships. Non-standard chart intervals (e.g., 3m, 7m) default to the nearest logical pair. - The confirmation counter approach adds 1โ€“2 bars of lag to break signals. This is intentional and necessary for non-repainting accuracy. - On very fast-moving instruments, HTF candle boxes may be violated frequently, limiting their utility as structural references. - FVG relevance degrades significantly on very high timeframes (Daily+) where gaps are rare and may take weeks to fill. Disclaimer This indicator is for educational and informational purposes only. Multi-timeframe structure analysis describes historical price behaviour and does not guarantee any specific future market outcome. Conduct your own analysis and use proper risk management at all times. Made with passion by officialjackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
Strata Volume Contour [JOAT]Strata Volume Contour Introduction Strata Volume Contour (SVC) is an open-source dynamic volume profile engine that divides a configurable lookback window into 25 equidistant price bins and accumulates the total traded volume within each bin. The result is a real-time horizontal histogram drawn to the right of the current bar, showing exactly where the market has spent the most volume over the selected period. The Point of Control (POC) โ€” the highest-volume bin โ€” is highlighted as the dominant fair-value level. The Value Area โ€” the range of bins containing 70% of total volume โ€” is shaded to mark the institutional accumulation zone. The problem SVC solves is the inability of time-based charts to show volume distribution across price levels. Standard volume bars show how much was traded each period, but not at which prices. Volume profile reveals the price levels that attracted the most participation โ€” these are the levels where institutional orders were concentrated, making them the most meaningful support and resistance references available. SVC brings this institutional-grade analysis directly to the chart without requiring specialized volume profile software. Core Concepts 1. Price Range Binning The indicator determines the highest high and lowest low across the full lookback window, then divides this range into 25 equal-width bins. Each bin represents a price zone: float rangeHi = ta.highest(high, math.min(bar_index + 1, lookback)) float rangeLo = ta.lowest( low, math.min(bar_index + 1, lookback)) float binStep = (rangeHi - rangeLo) / BINS A zero-range guard (binStep > 0) prevents division errors on flat or illiquid instruments. With 25 bins, the histogram provides enough granularity to identify structural features while remaining visually clean. 2. Volume Accumulation (Performance-Gated) Volume accumulation runs exclusively on the last bar of the chart (barstate.islast). This is a critical design decision: running the O(bins x lookback) double-loop on every bar within the lookback window would create an O(bars x bins x lookback) computational cost that exceeds TradingView's execution limits on longer charts. By gating to the last bar, the full recalculation costs O(bins x lookback) exactly once per chart update: if barstate.islast if binStep > 0.0 for i = 0 to BINS - 1 float binLevel = rangeLo + binStep * i float binVol = 0.0 for k = 0 to lookback - 1 if math.abs(close - binLevel) <= binStep binVol += nz(volume , 0.0) array.set(volBins, i, binVol) Each bar within the lookback is assigned to the nearest bin based on its closing price. 3. Point of Control (POC) The POC is the bin with the highest accumulated volume. It represents the price level where the most trading activity occurred over the lookback period. Markets tend to use the POC as a magnet โ€” price is attracted to it during consolidation and uses it as a reference when transitioning between ranges. The POC is rendered with a distinct highlight color (default orange) to make it immediately identifiable. 4. Value Area Calculation (70% Rule) The Value Area is determined by a symmetric expansion algorithm. Starting from the POC, the algorithm expands outward one bin at a time, always adding the bin (above or below) that contributes the most volume, until the accumulated volume within the expanding range reaches 70% of total volume: while vaVol < vaTarget and (vaLow > 0 or vaHigh < BINS - 1) float addUp = vaHigh < BINS - 1 ? array.get(volBins, vaHigh + 1) : 0.0 float addDn = vaLow > 0 ? array.get(volBins, vaLow - 1) : 0.0 if addUp >= addDn and vaHigh < BINS - 1 vaHigh += 1 vaVol += addUp else if vaLow > 0 vaLow -= 1 vaVol += addDn The Value Area High (VAH) and Value Area Low (VAL) define the institutional accumulation zone. Price outside the value area represents a premium (above) or discount (below) relative to the lookback period's fair value. 5. Horizontal Histogram Visualization Each bin is drawn as a horizontal box extending rightward from the current bar. The box width is proportional to the bin's volume relative to the POC volume โ€” the POC spans the maximum width (50 bars right), and all other bins scale proportionally. Volume amounts are labeled on each bar. Features 25-Bin Volume Profile Histogram: Full horizontal volume distribution rendered to the right of price with proportional bar widths and volume labels Point of Control (POC): Highest-volume bin highlighted in a distinct color (default orange) with automatic detection each bar update Value Area (VAH / VAL): The 70%-volume range shaded in a distinct color, with Value Area High and Low explicitly tracked and displayed in the dashboard Gradient Bin Coloring: Each non-POC, non-VA bin is colored on a gradient from low volume (nearly transparent) to high volume (full opacity), creating a visual density map Static Level Plots: All 25 bin levels are plotted as horizontal lines over the lookback window, providing a persistent price level grid even without the boxes visible Price vs POC Context: The dashboard reports whether price is currently Above POC, Below POC, or At POC 8-Row Dashboard (Top Right): POC price, VA High, VA Low, price vs POC relationship, total volume, lookback period, and version Watermark: JackOfAllTrades signature at chart center-bottom Input Parameters Profile Settings: Lookback Period: Number of bars to include in the volume accumulation (default: 200, range: 50-500) Visual Settings: Show Volume Bins: Toggle the horizontal histogram boxes Bin Color: Base color for the bin gradient (default: blue) Bin Width: Border width of histogram boxes (default: 1, range: 0-5) Highlight POC: Toggle POC highlighting POC Color: Color for the highest-volume bin (default: orange) Show Value Area: Toggle the 70%-volume range shading VA High Color: Color for the Value Area High reference VA Low Color: Color for the Value Area Low reference Theme: Auto, Dark, or Light How to Use This Indicator Step 1: Identify the Point of Control The POC is the most important level on the profile. It is the price the market spent the most time trading at โ€” the ultimate fair-value anchor. Price below the POC is at a discount; above is at a premium. Trading setups at the POC during retest often exhibit tight risk/reward. Step 2: Use Value Area Boundaries for Support and Resistance The Value Area High and Low are the primary structural boundaries. Price often oscillates within the value area and struggles when attempting to leave it. A close outside the value area with high volume often signals the beginning of a new directional move. Step 3: Adjust Lookback to Your Trading Style Shorter lookbacks (50-100 bars) produce a profile of recent price structure, relevant for intraday traders. Longer lookbacks (300-500 bars) produce a macro structural view, relevant for swing traders. The POC and value area boundaries shift as the lookback changes. Step 4: Watch Price Return to the POC After price moves away from the POC, it frequently returns to it during low-volume periods. When price is far from the POC and trending, the POC can serve as a magnet target for reversion. When price is oscillating around the POC, it reflects a balanced, two-sided auction. Indicator Limitations The profile recalculates only on barstate.islast โ€” it reflects the state at the last confirmed bar. During real-time market hours, the profile is not updating tick-by-tick; it updates each time a bar closes The volume accumulation assigns each bar to a bin based on closing price, not the intrabar high-low range. This is a simplification โ€” a professional volume profile distributes volume across all prices touched during the bar. The close-based method is computationally feasible within Pine Script's constraints The 25-bin resolution is fixed. Very large price ranges (e.g., a lookback spanning a major crash) may produce bins too wide to be structurally meaningful. Users should adjust the lookback to keep the range within a reasonable structural period Instruments with no volume data (some indices, spot forex) will show all zero bins and the profile will not render meaningfully The histogram boxes are drawn to the right of the current bar. On instruments with extended right-side padding disabled, the boxes may be partially hidden off-chart Originality Statement SVC is original in its approach to making volume profile accessible within Pine Script's performance constraints. This indicator is published because: The barstate.islast performance gate is the key design innovation โ€” it collapses what would otherwise be an O(bars x bins x lookback) computation into a single O(bins x lookback) pass, making a 25-bin volume profile with 500-bar lookback feasible within TradingView's execution limits The 70% Value Area algorithm uses a symmetric expansion approach (always adding the larger of the next bin up or down) that correctly implements the standard Volume Profile Value Area methodology The gradient bin coloring uses color.from_gradient() against the POC volume as the maximum reference, making the visual density map adaptive to the actual volume distribution rather than a fixed scale The Price vs POC contextual label in the dashboard provides an immediately actionable market context read without requiring the user to visually judge their position relative to the histogram Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Volume profile levels are based on historical volume distribution and represent areas of past interest, not guarantees of future price behavior. The Point of Control and Value Area boundaries can and do shift significantly as the lookback window evolves. Always use proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator. -Made with passion by jackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
MTF Confluence Gauge [JOAT]MTF Confluence Gauge Introduction One of the most persistent challenges in technical analysis is the problem of timeframe conflict. A setup that looks perfectly constructed on a 15-minute chart can be swimming against a powerful current on the 4-hour chart, while simultaneously aligned with the daily trend. Traders who operate on a single timeframe are making decisions without full awareness of the forces acting on the instrument across the full spectrum of market participants โ€” from short-term speculators to institutional position traders whose horizons span weeks or months. The MTF Confluence Gauge addresses this challenge by simultaneously reading the HEMA (Hull-EMA Hybrid) trend state of up to 5 configurable assets across 5 configurable timeframes โ€” producing 25 individual trend readings. Each reading is a directional vote: +1 for bullish HEMA alignment, -1 for bearish alignment, 0 for neutral. These 25 votes are summed into a raw score ranging from -25 to +25, normalized to a -100 to +100 scale, and further refined by local market modifiers including a delta proxy, volume RSI, volatility squeeze state, and local HEMA trend. The result is a composite gauge that represents the aggregate directional consensus across assets and timeframes simultaneously. This multi-asset capability makes the indicator unique even among multi-timeframe tools. Most MTF indicators read a single instrument across multiple timeframes. The MCG reads multiple instruments across multiple timeframes โ€” enabling users to understand whether a bullish signal on their primary instrument is supported by correlated assets (e.g., sector ETFs, index futures, correlated crypto pairs) or is an isolated move that runs counter to the broader market ecosystem. A long signal supported by bullish readings across correlated assets and multiple timeframes is fundamentally different in quality from one that is isolated to a single timeframe of a single instrument. Core Concepts 1. HEMA Trend Function for MTF Reads The HEMA trend function is the foundational building block of every cell in the 5ร—5 matrix. For each asset-timeframe combination, request.security() retrieves the HEMA values on that timeframe, and the relative alignment of the fast, slow, and macro HEMA layers determines the trend vote. The lookahead parameter is explicitly set to barmerge.lookahead_off to ensure no future data contamination โ€” the trend reading reflects only information that was available at the close of the most recent completed bar of the target timeframe. f_hema(src, len) => ta.ema(2 * ta.ema(src, len / 2) - ta.ema(src, len), math.round(math.sqrt(len))) f_mtfTrend(sym, tf) => h1 = request.security(sym, tf, f_hema(close, hFast), lookahead=barmerge.lookahead_off) h2 = request.security(sym, tf, f_hema(close, hSlow), lookahead=barmerge.lookahead_off) h3 = request.security(sym, tf, f_hema(close, hMacro), lookahead=barmerge.lookahead_off) h1 > h2 and h2 > h3 ? 1 : h1 < h2 and h2 < h3 ? -1 : 0 This function is called 25 times โ€” once per cell in the matrix. The result for each call is stored in a 5ร—5 array of integers and subsequently used for both the raw score calculation and the table cell coloring. 2. Raw Score and Normalization The 25 individual trend votes are summed to produce a raw score. This sum is then smoothed with a 3-bar EMA to reduce single-bar noise. Normalization to the range is achieved by dividing the smoothed raw score by 25 (the maximum possible absolute value) and multiplying by 100. rawScore = 0 for r = 0 to 4 for c = 0 to 4 rawScore += trendMatrix.get(r * 5 + c) smoothedRaw = ta.ema(rawScore, 3) normalizedScore = smoothedRaw / 25 * 100 The normalized score forms the base for the histogram and is displayed in the dashboard as the "MTF Bias" value. By normalizing against the theoretical maximum, the scale is consistent regardless of how many assets are configured as neutral (0 votes) โ€” the maximum expressible bull consensus is always +100 and the maximum bear consensus is always -100. 3. Local Score Modifiers The raw MTF score represents the multi-asset, multi-timeframe consensus, but it does not account for the specific conditions of the primary chart instrument at the current moment. Four local modifier calculations adjust the score based on immediate market context. The local HEMA trend applies a ยฑ10 point bonus. The delta proxy (bar-range-based buying/selling pressure) applies a ยฑ5 point bonus. Volume RSI above threshold applies a ยฑ5 point bonus in the direction of the local trend. The volatility squeeze state applies a ยฑ5 bonus when the market is not squeezing (i.e., volatility is freely expressing direction). All individual bonuses are summed and the combined total is clamped to the range. localBonus = localTrend * 10 deltaBonus = deltaPos ? 5 : -5 volBonus = highVol ? (localTrend > 0 ? 5 : -5) : 0 sqzBonus = squeezing ? 0 : localTrend * 5 totalScore = math.max(-100, math.min(100, normalizedScore + localBonus + deltaBonus + volBonus + sqzBonus)) displayScore = ta.ema(totalScore, 5) The final display score is a 5-bar EMA of the adjusted total, providing visual smoothness in the histogram while retaining the responsiveness of the underlying calculations. Local modifiers mean the gauge can show strong bull bias from MTF readings while still being dampened by bearish local conditions โ€” a useful warning mechanism. 4. The 5ร—5 Color-Coded Table The visual centerpiece of this indicator is the 5ร—5 table rendered in the oscillator pane. Each of the 25 cells represents one asset-timeframe combination. Bullish cells are filled with teal and display an upward arrow (โ–ฒ). Bearish cells are filled with red and display a downward arrow (โ–ผ). Neutral cells are filled with violet and display a dash (โ€”). Row 6 of the table shows the column-sum score for each timeframe column, giving an immediate vertical read of how strongly any given timeframe is leaning across all configured assets. This allows traders to identify whether bias is uniform across timeframes or concentrated in specific horizons. 5. Histogram, Squeeze Background, and Reference Lines The composite score is rendered as a histogram with gradient fill โ€” teal shades above zero transitioning toward deep teal at maximum bull readings, red shades below zero deepening toward maximum bear. Reference lines at ยฑ25 define the "bias threshold" โ€” readings beyond this level indicate a meaningful multi-timeframe lean. Reference lines at ยฑ60 define the "strong conviction threshold" โ€” readings here suggest near-uniform agreement across the majority of configured cells. When the local volatility squeeze is active (detected via ATR compression), the oscillator pane background tints violet, visually indicating that the current score may be elevated or depressed relative to its normal expression due to compressed price action. Features 25-Cell MTF Matrix: 5 configurable assets ร— 5 configurable timeframes, each independently returning a HEMA trend vote. lookahead_off Security Calls: All request.security() calls use barmerge.lookahead_off to prevent future bar data contamination. Smoothed Normalization: Raw score EMA-smoothed then normalized to for consistent cross-session comparability. Four Local Modifiers: Local HEMA trend, delta proxy, volume RSI, and squeeze state each contribute bonus points to produce a context-aware composite score. 5ร—5 Color-Coded Table: Teal/red/violet cells with directional arrows and column score totals for immediate visual matrix reading. Gradient Histogram: color.from_gradient fill above and below zero with reference lines at ยฑ25 (bias) and ยฑ60 (strong conviction). Squeeze Background Tint: Violet overlay on oscillator pane background when local volatility compression is detected. Nine-Row Dashboard: MTF bias label (six levels from STRONG BULL to STRONG BEAR), composite score, raw MTF score, squeeze state, Pearson R, delta bias, volume RSI, and local trend. Six Alert Conditions: Cross above +25, cross below -25, cross above +60, cross below -60, cross above 0, cross below 0. Input Parameters Asset Configuration: Asset 1-5 Symbols: Ticker symbols for each of the five configurable assets (defaults: current symbol, SPY, QQQ, GLD, TLT or equivalents) Timeframe Configuration: TF1-TF5: Five timeframe strings for the matrix columns (defaults: "15", "60", "240", "D", "W") HEMA Settings: Fast Length: HEMA fast period for all MTF reads (default: 20) Slow Length: HEMA slow period for all MTF reads (default: 50) Macro Length: HEMA macro period for all MTF reads (default: 100) Local Modifier Settings: Delta Window: Smoothing period for delta proxy calculation (default: 10) Volume RSI Threshold: Level above which volume is considered high (default: 65) ATR Squeeze Length: Period for local volatility compression detection (default: 20) Display Settings: Show Table: Toggle the 5ร—5 trend matrix table (default: true) Show Histogram: Toggle the composite score histogram (default: true) Show Dashboard: Toggle the nine-row information table (default: true) Show Squeeze Background: Toggle the violet compression tint (default: true) How to Use This Indicator Step 1: Configure Assets for Your Trading Context The indicator's value scales directly with the relevance of the configured assets to your primary instrument. For equity traders, configuring sector ETFs correlated with the primary stock (e.g., XLK for technology stocks, XLF for financials) alongside index instruments (SPY, QQQ, DIA) creates a meaningful consensus gauge. For crypto traders, configuring BTC, ETH, and leading altcoins provides an ecosystem-wide directional read. For forex traders, related currency pairs and safe-haven instruments (gold, bonds) capture macro correlation. Spend time selecting assets whose price behavior is structurally linked to your primary trading instrument. Step 2: Use the Table for Timeframe Structure Analysis Before looking at the composite score, read the table column by column. If the shorter timeframe columns (15m, 1H) are predominantly teal (bullish) but the longer timeframe columns (Daily, Weekly) are predominantly red (bearish), the market is in short-term counter-trend bounce territory โ€” a higher-risk environment for long trades. Conversely, when both short and long timeframe columns are aligned in the same direction, the consensus is clean and structural. The column score row at the bottom of the table quantifies this alignment numerically. Step 3: Interpret the Composite Score Levels The ยฑ25 threshold is the first meaningful level. A score above +25 indicates that more than half of the 25 cells are bullish (adjusted for local modifiers), suggesting a genuine bias rather than random noise. Between +25 and +60, the market has a directional lean but lacks uniform agreement. Above +60, the consensus is strong โ€” the majority of assets across the majority of timeframes are in bullish alignment. The inverse applies below -25 and -60. Cross-zero signals (score moving from negative to positive) indicate a shift in aggregate consensus, which is often a leading indicator of trend changes on the primary instrument. Step 4: Monitor Local Modifier Impact The dashboard displays both the raw MTF score and the composite adjusted score. The difference between these two values reflects the cumulative impact of local modifiers. A large positive difference means local conditions (delta, volume, squeeze, HEMA) are amplifying the MTF signal. A large negative difference means local conditions are dampening it โ€” the MTF matrix shows bulls, but the primary instrument itself is not confirming. In these cases, patience is warranted before entering. Indicator Limitations The indicator makes 25 request.security() calls plus additional local calculations. On crowded chart setups with many other indicators, this computational load may affect chart loading time. TradingView enforces limits on request.security() calls per script; users should be aware of this limit if adding other indicators with security calls. All 25 MTF trend readings update on the chart's native timeframe bars. Readings from higher timeframes update only when a new bar completes on that timeframe โ€” the HEMA reading for a weekly timeframe, for instance, updates only at the weekly close. Between weekly closes, the weekly cell reading remains at the prior week's value. HEMA calculations at very short periods on very high timeframes (e.g., period 20 on a Monthly timeframe) may have insufficient bars to produce statistically stable readings. Users should ensure the target instrument has sufficient history on all configured timeframes. Asset correlation is dynamic โ€” assets that are correlated in one market regime may decouple in another. A gauge configured for normal market correlation may produce misleading readings during crisis events when traditional correlations break down. The local modifier adjustments (ยฑ10, ยฑ5, ยฑ5, ยฑ5) are fixed contribution weights. They do not adapt to changing market conditions and may disproportionately influence the composite score during specific regimes. The composite score is a simplified linear aggregation of heterogeneous signals. It treats a weekly HEMA reading as equivalent to a 15-minute HEMA reading in terms of contribution weight, which may not reflect the practical importance of longer timeframe trends. Originality Statement The MTF Confluence Gauge is an original multi-dimensional trend aggregation tool that differs meaningfully from existing multi-timeframe indicators. The 5ร—5 asset-timeframe matrix โ€” simultaneously reading five user-configurable assets (not just one instrument across five timeframes) across five user-configurable timeframes โ€” is an original architectural choice that enables cross-asset consensus analysis not available in standard MTF indicators. The HEMA-based trend vote function (requiring all three HEMA layers to be in sequence for a definitive +1 or -1 vote, otherwise returning 0) is a more stringent trend classification than simple moving average crossovers typically used in MTF dashboards. The four-component local modifier system โ€” HEMA bonus, delta proxy bonus, volume RSI bonus, and squeeze state bonus โ€” applied as additive adjustments to the normalized MTF score before display is an original composite scoring architecture. The six-level bias label system in the dashboard (STRONG BULL, BULL, SLIGHT BULL, SLIGHT BEAR, BEAR, STRONG BEAR) derived from the composite score threshold ranges provides a human-readable categorical summary not commonly implemented in MTF oscillators. The visual integration of the 5ร—5 table within the oscillator pane (rather than as a separate overlay) alongside the gradient histogram, squeeze background tint, and reference lines at ยฑ25 and ยฑ60 represents a unified pane design not seen in comparable indicators. Disclaimer The MTF Confluence Gauge is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Multi-timeframe and multi-asset confluence does not guarantee trade success. Correlation between assets changes over time and cannot be relied upon to remain stable. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
SNP420 - SAO - Ultima - Multi-Asset Momentum IndicatorMulti-timeframe trend-following indicator for H1 charts. Combines D1 + H4 trend alignment with H1 entry precision using EMA, RSI, MACD, and ADX filters. Designed for EURUSD, USDJPY, and GBPUSD during London/NY sessions. Entry: Requires D1 and H4 trend agreement, price above/below EMA21, RSI in momentum zone (50-75 long / 25-50 short), positive MACD histogram, and ADX above 25. Signals only fire during active sessions (London, Overlap, NY). Exit logic (8 layers, priority-ordered): Hard SL at 2.5ร—ATR, TP at 5R, trailing stop from 2R profit, breakeven protection at 2R, stale position killer at 8 bars, D1/H4 trend reversal exits, and adaptive time stops (48 bars losers / 96 bars winners). On-chart display: Entry arrows (LONG/SHORT), color-coded exit labels (SL, TP, TRAIL, BE, STALE, FLIP, TIME), live SL/TP/trail level lines, trend background shading, EMA ribbon (21/50/200), and real-time info panel showing D1/H4 trend, ADX, RSI, session status, and position state. Built-in alerts for all entry and exit events. Backtested: +448% in 2025 (12/12 months profitable), +107% in 2026 Q1. Profit driven by TRAIL exits (100% WR, 83% of total profit). Robust across 10 synthetic market Monte Carlo scenarios (100% profitable, avg 78% of backtest performance). Piece and love.
Indicatore Pine Scriptยฎ
di SNP_420
Multi-Timeframe HTF FVG + MidpointsAn open-source multi-timeframe Fair Value Gap indicator with midpoints and mitigation logic. Detects and displays higher-timeframe FVGs (hourly to daily), draws stable fixed-width gap boxes, and plots midpoint levels with clean labels. Built specifically to solve common MTF rendering issues โ€” FVGs remain persistent and properly aligned across timeframe changes. Features: - Bullish & bearish HTF FVG detection (1H, 2H, 3H, 4H, 1D) - Persistent boxes across timeframe intervals - Midpoint lines and labels - Multi-timeframe structure display - Mitigation tracking - Optional mitigated-zone visibility Notes: โ€ข For charting and study purposes only โ€ข Not financial advice โ€ข Open source by design โ€” modify and adapt as needed
Indicatore Pine Scriptยฎ
di maggiejohnson
MULTI TF TREND DASHBOARDThe Multi TF Trend Dashboard analyses seven timeframes simultaneously and delivers a single, weighted directional bias โ€” Bullish, Bearish or Neutral โ€” so you never have to manually flip through charts to build your picture. Built for serious forex and indices traders who want institutional-grade confluence at a glance. WHAT IT IS The Multi TF Trend Dashboard is a professional multi-timeframe trend analysis tool that runs a proprietary algorithm across seven user-defined timeframes and synthesises the results into a single weighted bias score. It tells you not just which direction each timeframe is trending, but how strong that trend is and whether it qualifies as a true trend or a ranging market condition. Unlike basic moving average crossover dashboards, this tool uses a triple-smoothed TEMA crossover system combined with a Directional Movement Rating and RSI strength confirmation. A timeframe only registers as trending if all three conditions align โ€” direction, momentum, and price position. This eliminates false signals in choppy, ranging markets. The overall bias is only confirmed when a minimum weighted score threshold is met and higher timeframe alignment is present. This means the dashboard stays neutral in ambiguous conditions rather than giving you a weak or misleading signal. HOW IT WORKS For each of the seven timeframes the indicator calculates: TEMA Crossover โ€” A Triple Exponential Moving Average crossover using a fast and slow length. TEMA reacts faster than standard EMAs and reduces lag significantly, giving cleaner trend reads without the noise of simple moving averages. Directional Movement Rating (DMR) โ€” A triple-smoothed adaptation of the classic ADX system. The DMR filters out ranging market conditions and only confirms a trend when directional movement reaches a defined threshold. Below that threshold the timeframe is marked as Ranging regardless of what the crossover says. RSI Strength Confirmation โ€” RSI distance from the 50 level is used as a strength multiplier. A timeframe trending strongly with RSI well away from 50 scores higher than one barely trending with RSI near centre. Weighted Bias System โ€” Each timeframe is assigned a weight with higher timeframes carrying significantly more influence. The overall bias is only declared Bullish or Bearish when the weighted score exceeds a minimum threshold, a minimum number of timeframes agree, and at least one higher timeframe confirms the direction. This prevents low timeframe noise from flipping the bias. Trend Strength Score โ€” A blended score out of 100 combining alignment and agreement across all seven timeframes. A score above 70 indicates a high conviction trend setup. HOW TO USE IT Setting Up Your Timeframes Configure the seven timeframe inputs to match your trading style. A typical setup for intraday forex traders would be 5M, 15M, 30M, 1H, 4H, Daily and Weekly. Swing traders may prefer 15M, 1H, 4H, Daily, Weekly and Monthly as their higher anchors. Reading the Bias The overall bias displayed at the top of the dashboard is your primary signal. Only trade in the direction of the confirmed bias. If the dashboard shows NEUTRAL, the market does not have clear directional agreement across timeframes โ€” this is a signal to stand aside, not to force a trade. Reading Individual Timeframes Each row shows the direction (UP, DOWN or RANGING), the strength (High, Medium or Low) and whether the timeframe qualifies as a true trend. A tick โœ“ means trending. A cross โœ— means ranging or no signal. Look for confluence โ€” multiple timeframes agreeing in the same direction with High or Medium strength is where the highest probability setups occur. Trend Strength Score Use the strength bar and score at the bottom of the dashboard to gauge conviction. A score above 70 with a confirmed bias indicates a strong, aligned trend. A score below 40 with a neutral bias means the market is contested โ€” patience is required. Session Awareness The dashboard displays the current trading session โ€” Sydney, Tokyo, London, LDN/NY or New York Alerts Two alert conditions are available. Bias Change fires when the overall bias shifts direction. Strong Trend 70+ fires when the trend strength score crosses above 70. Set these up once and let the dashboard notify you rather than watching the screen. โš ๏ธ DISCLAIMER This indicator and all content associated with it is provided strictly for educational and informational purposes only. Nothing contained within this tool, its description, or any associated materials constitutes financial advice, investment advice, trading advice, or any other form of recommendation to buy or sell any financial instrument. Trading financial markets involves substantial risk of loss and is not suitable for all investors. Past performance of any signal, bias reading, or trend identified by this indicator is not indicative of and does not guarantee future results. The markets can and will behave differently under any given condition at any given time. You are solely responsible for your own trading decisions. Always conduct your own research, apply your own risk management
Indicatore Pine Scriptยฎ
di ukalgorithms
1
Confluence Ledger [JOAT]Confluence Ledger Introduction The Confluence Ledger is an advanced open-source multi-timeframe confluence scoring engine that evaluates eight independent analytical dimensions across five configurable timeframes, producing a unified directional bias score from 0 to 100. It answers the question every trader asks: "Do the timeframes agree, and how strongly?" Rather than checking multiple indicators on multiple charts, this single tool synthesizes trend alignment, momentum phase, volatility state, market structure, volume conviction, RSI regime, VWAP bias, and ATR expansion into one actionable number. The indicator overlays on the price chart with gradient-colored candles, confluence pressure zones, regime transition lines, divergence detection boxes, and institutional confluence signals - all backed by a compact 12-row dashboard that displays every metric in real-time. Why This Indicator Exists Multi-timeframe analysis is widely recognized as essential for high-probability trading, but executing it manually is tedious and error-prone. A trader might check the daily trend, the 4H momentum, the 1H structure, and the 15m entry โ€” but doing this across eight different analytical dimensions is impractical without automation. The Confluence Ledger automates this entire process by: Scoring eight distinct analytical dimensions on each of five timeframes, producing 40 individual data points per bar Weighting higher timeframes more heavily (Daily gets 2x the weight of the 5-minute chart), reflecting the institutional reality that higher timeframe trends dominate Mapping the weighted aggregate to a 0-100 scale where 50 is perfectly neutral, above 60 is bullish, and below 40 is bearish Adding institutional features that analyze the score itself: pressure zones where extreme confluence persisted, regime transitions where the bias flipped, and divergences between price and the confluence score The Eight Scoring Dimensions Each dimension returns a score from -1 (maximum bearish) to +1 (maximum bullish). Here is what each measures and why it matters: 1. Trend Alignment Combines EMA slope direction with price position relative to the adaptive moving average. If price is above a rising EMA, the trend score is +1. If price is below a falling EMA, it is -1. Mixed conditions produce intermediate scores. This captures the most fundamental question: is the trend up or down? 2. Momentum Phase A composite of three normalized oscillators โ€” Bollinger %B, CCI, and ROC. Each is scored independently and averaged. This measures whether momentum is bullish, bearish, or neutral, using three different mathematical approaches to reduce the chance of a single oscillator giving a misleading signal. 3. Volatility State Measures Bollinger Band width relative to its 50-bar average. Expanding volatility scores positive (in the direction of price), compressing volatility scores near zero. This dimension captures whether the market is in expansion (trending) or compression (range-bound). 4. Structure Bias Uses an oscillator-based swing detection method to track whether the market is making higher highs/higher lows (bullish structure, score +1) or lower highs/lower lows (bearish structure, score -1). This is the structural backbone of Smart Money analysis. 5. Volume Conviction Calculates current volume relative to the 20-bar average and weights it by candle direction. A bullish candle on 2x average volume scores strongly positive. A bearish candle on low volume scores weakly negative. This measures whether volume confirms the directional move. 6. RSI Regime RSI position relative to 50 provides the base score, with additional weight for extreme readings (above 70 or below 30). This captures overbought/oversold conditions and the general momentum regime. 7. VWAP Bias Price distance from VWAP normalized by ATR. When price is significantly above VWAP, institutional flow is net bullish. Below VWAP, net bearish. The ATR normalization ensures the score adapts to the instrument's volatility. 8. ATR Expansion The rate of change of ATR itself, weighted by candle direction. When ATR is expanding in the direction of price, it confirms the move has volatility behind it. Contracting ATR suggests the move is losing energy. Multi-Timeframe Aggregation All eight dimensions are calculated on each of five timeframes (default: 5m, 15m, 1H, 4H, Daily) using request.security(). The per-timeframe scores are then weighted: TF1 (5m): weight 1.0 TF2 (15m): weight 1.2 TF3 (1H): weight 1.5 TF4 (4H): weight 1.8 TF5 (Daily): weight 2.0 This weighting reflects the institutional principle that higher timeframe trends are more significant. A strong daily bias overrides conflicting 5-minute noise. The weighted aggregate is mapped from to : float confluence_score = math.round((raw_agg + 1.0) / 2.0 * 100) Score interpretation: 80-100: EXTREME LONG โ€” near-unanimous multi-TF bullish agreement 70-79: STRONG LONG โ€” clear bullish bias across most timeframes 60-69: LEAN LONG โ€” moderate bullish tilt 41-59: NEUTRAL โ€” no clear directional consensus 31-40: LEAN SHORT โ€” moderate bearish tilt 21-30: STRONG SHORT โ€” clear bearish bias 0-20: EXTREME SHORT โ€” near-unanimous bearish agreement Institutional Analytics Engine Beyond the core score, the indicator calculates several advanced metrics: TF Agreement: Counts how many of the five timeframes are bullish vs bearish. When 4+ timeframes agree, a "Full Alignment" signal fires โ€” these are the highest-conviction directional setups. Score Velocity: The rate of change of the confluence score itself. "ACCEL UP" means the score is rising and accelerating. "FALLING" means directional conviction is weakening. This is the first derivative of confluence โ€” it tells you whether agreement is building or fading. Conviction Meter: Measures how tightly aligned the five timeframe scores are using standard deviation. Low variance (high conviction) means all timeframes agree closely. High variance (low conviction) means timeframes are giving conflicting signals. Cross-TF Momentum Divergence: Compares the average of lower timeframes (TF1+TF2) against higher timeframes (TF4+TF5). When lower TFs are leading (diverging bullish while higher TFs lag), it can signal an early trend change. When upper TFs are leading, the higher timeframe trend is asserting dominance. HTF Dominance: Identifies which higher timeframe is currently driving the overall bias the most. This tells you whether the daily, 4H, or 1H is the primary force behind the score. Dimension Consensus: Averages each of the eight dimensions across all five timeframes to find which dimension is the strongest driver. If "TREND" is the strongest dimension, the trend alignment across timeframes is the primary force. If "VOLUME" is strongest, volume conviction is driving the bias. Chart Features 1. Confluence Pressure Zones When the confluence score stays extreme (above 70 or below 30) for a configurable minimum number of bars (default 5), the indicator draws a dashed box marking the price range during that period. These "pressure zones" represent areas where sustained multi-timeframe agreement created institutional accumulation or distribution. They often act as future support/resistance. 2. Regime Transition Lines When the confluence score crosses from bullish to bearish territory (or vice versa), a labeled dashed line is drawn at the transition price. These lines show the exact price where the multi-timeframe consensus shifted โ€” they act as institutional support/resistance levels that are derived from confluence rather than price structure. 3. Confluence Divergence Detector When price makes a new 20-bar high but the confluence score is declining (or price makes a new low but the score is rising), the indicator marks a confluence divergence. This is a unique concept โ€” it detects divergence between a multi-timeframe composite score and price action, which is fundamentally different from single-oscillator divergence. 4. Institutional Confluence Signals Multi-condition filtered signals that fire when confluence score exceeds thresholds, velocity confirms, and a cooldown period has elapsed. These are the highest-conviction signals the indicator produces. 5. Gradient Confluence Candles Candles are colored on a gradient from the bearish color (score near 0) to the bullish color (score near 100). This creates an instant visual read of confluence strength on every candle. Input Parameters Timeframes: TF 1 through TF 5 (defaults: 5m, 15m, 60m, 240m, Daily) โ€” all configurable Scoring Parameters: MA Length (27), ATR Length (14), BB Length (20), BB Mult (2.0) CCI Length (23), ROC Length (50), RSI Length (14), Swing Length (10) Institutional Features: Gradient Confluence Candles, Confluence Pressure Zones, Regime Transition Lines Confluence Divergence Boxes, Institutional Confluence Signals Signal Cooldown (20 bars), Pressure Zone Min Bars (5) How to Use This Indicator Step 1: Read the Score The confluence score (0-100) is your primary directional gauge. Above 60 = bullish bias. Below 40 = bearish bias. 40-60 = no clear edge โ€” consider staying flat or reducing position size. Step 2: Check TF Agreement The dashboard shows how many timeframes agree. 4/5 or 5/5 agreement in one direction is a high-conviction setup. 2B/3S or similar splits suggest conflicting signals โ€” proceed with caution. Step 3: Monitor Score Velocity A score of 72 that is "ACCEL UP" is more bullish than a score of 72 that is "FALLING." Velocity tells you whether the consensus is strengthening or weakening. Step 4: Use Pressure Zones as S/R When price returns to a previous pressure zone, expect a reaction. These zones represent areas where sustained multi-timeframe agreement existed โ€” institutional memory. Step 5: Watch for Confluence Divergences If price is making new highs but the confluence score is declining, the multi-timeframe consensus is not confirming the move. This is a warning sign that the advance may stall or reverse. Step 6: Trade Regime Transitions When the score crosses from bearish to bullish territory (or vice versa), the regime transition line marks the pivot price. These transitions often produce sustained directional moves. Limitations The indicator uses request.security() to fetch data from five timeframes. On very low timeframes (1m), the higher timeframe data updates less frequently, which can create lag in the score. The weighting system (higher TFs get more weight) is a design choice that works well for trend-following. Scalpers who trade against the higher timeframe trend may find the score misleading for their style. Confluence score is a composite of mathematical calculations. A score of 80 does not mean "80% chance of going up" โ€” it means 80% of the weighted analytical dimensions agree on a bullish reading. The indicator evaluates current conditions, not future ones. A high confluence score can reverse quickly on unexpected news or institutional repositioning. VWAP calculations may behave differently on instruments without continuous trading sessions. Past confluence patterns do not guarantee future confluence patterns. Originality Statement This indicator is original in its systematic multi-dimensional, multi-timeframe confluence approach. While individual components (EMA trend, RSI, VWAP, etc.) are established concepts, this indicator is justified because: It evaluates eight independent analytical dimensions simultaneously โ€” not just trend and momentum, but also volatility state, market structure, volume conviction, RSI regime, VWAP bias, and ATR expansion Each dimension is scored on five timeframes with weighted aggregation, producing 40 data points synthesized into a single actionable score The Confluence Pressure Zone concept โ€” marking areas where extreme multi-TF agreement persisted โ€” creates institutional S/R levels derived from confluence rather than price structure Regime Transition Lines mark the exact price where multi-timeframe consensus shifted, providing a unique form of dynamic support/resistance Confluence Divergence Detection compares a multi-TF composite score against price action โ€” fundamentally different from single-oscillator divergence Score Velocity, Conviction Meter, Cross-TF Momentum Divergence, HTF Dominance, and Dimension Consensus provide meta-analysis of the confluence score itself The integration of all these features with gradient candle coloring and a comprehensive dashboard creates a unified confluence analysis system not available in any single existing indicator Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. The confluence score is a mathematical composite of current market conditions across multiple timeframes. It does not predict future price movement. High confluence does not guarantee profitable trades. Market conditions can change rapidly, and past confluence patterns do not guarantee future patterns. Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
Singularity Convergence Protocol [JOAT]Singularity Convergence Protocol Introduction The Singularity Convergence Protocol is an advanced open-source multi-system confluence strategy that combines eight distinct analytical methodologies into a unified trading system. This strategy integrates momentum analysis, Smart Money Concepts, velocity waves, liquidity tracking, trend detection, divergence analysis, volatility measurement, and institutional flow into a comprehensive decision-making engine that generates high-probability trading signals through systematic confluence scoring. Unlike single-indicator strategies, the Singularity Convergence Protocol provides institutional-grade signal generation through multi-dimensional analysis, weighted confluence scoring, and adaptive risk management. The strategy is designed for traders who understand that the highest probability setups occur when multiple independent analytical systems align simultaneously, creating a "singularity" of confluence. Why This Strategy Exists This strategy addresses the critical challenge of signal reliability in algorithmic trading. By requiring confluence across multiple independent systems, it dramatically reduces false signals while identifying the highest probability setups. The strategy reveals: System 1 - Momentum Analysis: Quantum Flux Oscillator methodology combining VFI, Laguerre RSI, Fisher Transform, TSI, MFI, OBV, and A/D System 2 - Structure Detection: Smart Money Concepts including Order Blocks, Fair Value Gaps, Liquidity Levels, and Market Structure System 3 - Velocity Waves: Multi-layer momentum spectrum with five EMA layers and ALMA enhancement System 4 - Liquidity Tracking: Pivot-based liquidity detection with sweep confirmation System 5 - Trend Analysis: Hull MA, SuperTrend, ADX, and moving average alignment System 6 - Divergence Detection: Multi-oscillator divergence with RSI, MACD, TSI, and Stochastic System 7 - Volatility Analysis: ATR, Bollinger Bands, Keltner Channels, Historical Volatility, and Squeeze detection System 8 - Institutional Flow: CMF, MFI, OBV, VWAP, and A/D Line integration Core Strategy Logic 1. Eight Independent Analytical Systems Each system operates independently and generates binary signals (bullish/bearish): Momentum System: Calculates composite momentum from seven components Generates bullish signal when momentum > 0 and rising Generates bearish signal when momentum < 0 and falling Score: +1 for bullish, -1 for bearish, 0 for neutral Structure System: Detects order blocks, FVGs, and market structure Bullish when OB/FVG active + bullish structure + discount zone Bearish when OB/FVG active + bearish structure + premium zone Score: +1 for bullish, -1 for bearish, 0 for neutral Velocity Wave System: Analyzes five momentum layers with ALMA enhancement Bullish when Basis 1 > Basis 2 and rising with spread > 5 Bearish when Basis 1 < Basis 2 and falling with spread < -5 Score: +1 for bullish, -1 for bearish, 0 for neutral Liquidity System: Tracks liquidity sweeps with volume confirmation Bullish when SSL swept with volume surge Bearish when BSL swept with volume surge Score: +1 for bullish, -1 for bearish, 0 for neutral Trend System: Combines Hull MA, SuperTrend, ADX, and MA alignment Bullish when Hull rising + SuperTrend bullish + ADX > 20 + MA alignment Bearish when Hull falling + SuperTrend bearish + ADX > 20 + MA alignment Score: +1 for bullish, -1 for bearish, 0 for neutral Divergence System: Detects divergences across RSI, MACD, TSI, and Stochastic Bullish when regular bullish divergence with 2+ oscillator confluence Bearish when regular bearish divergence with 2+ oscillator confluence Score: +1 for bullish, -1 for bearish, 0 for neutral Volatility System: Measures volatility through ATR, BB Width, KC, HV, and Squeeze Bullish when squeeze breakout upward with low volatility index Bearish when squeeze breakout downward with low volatility index Score: +1 for bullish, -1 for bearish, 0 for neutral Institutional Flow System: Tracks institutional positioning through CMF, MFI, OBV, VWAP, A/D Bullish when flow index > 10 with CMF > 0 and MFI > 50 Bearish when flow index < -10 with CMF < 0 and MFI < 50 Score: +1 for bullish, -1 for bearish, 0 for neutral 2. Confluence Scoring System The strategy employs two scoring methods: Binary Signal Count: Counts how many systems generate bullish signals (0-8) Counts how many systems generate bearish signals (0-8) Minimum signals required (default: 2) filters weak setups Weighted Confluence Score: Sums all system scores (range: -8 to +8) Adds bonus points for extreme conditions: - Extreme momentum regimes (+1) - All velocity layers aligned (+1) - 4/4 divergence confluence (+1) - Volume surge with strong flow (+1) Total score can exceed ยฑ8 with bonuses 3. Entry Conditions Two entry modes are available: Standard Mode (Binary Count): Long Entry: Bullish signals >= minimum AND bullish signals > bearish signals Short Entry: Bearish signals >= minimum AND bearish signals > bullish signals Simple and straightforward Confluence Mode (Weighted Score): Long Entry: Total bullish score >= minimum AND bullish score > bearish score Short Entry: Total bearish score >= minimum AND bearish score > bullish score Accounts for bonus conditions and extreme setups 4. Risk Management System The strategy includes comprehensive risk management: Position Sizing: Risk per trade: Percentage of equity (default: 2%) Position size calculated based on stop distance and risk percentage Prevents over-leveraging on any single trade Stop Loss Placement: ATR-based stops: Stop distance = ATR ร— multiplier (default: 2.0) Long stops: Entry price - (ATR ร— multiplier) Short stops: Entry price + (ATR ร— multiplier) Adapts to current volatility Take Profit Targets: Risk:Reward ratio (default: 2.0) Target distance = Stop distance ร— R:R ratio Long targets: Entry price + (Stop distance ร— R:R) Short targets: Entry price - (Stop distance ร— R:R) Trailing Stops: Optional trailing stop (default: enabled) Trail distance = ATR ร— trailing multiplier (default: 3.0) Locks in profits as trade moves favorably Adjusts to volatility changes 5. Visual Features The strategy includes comprehensive visual elements: Hull Moving Average: Primary trend line with dynamic coloring SuperTrend Bands: Dynamic support/resistance levels EMA Matrix: Three EMAs showing trend alignment Order Block Boxes: Bullish and bearish OB zones Fair Value Gap Boxes: FVG zones with dashed borders Liquidity Lines: BSL and SSL levels with sweep tracking Equilibrium Line: Premium/discount zone reference Background Coloring: Regime indication (extreme bull/bear, squeeze, entry signals) Information Dashboard: Real-time display of all metrics and scores Dashboard Metrics The comprehensive dashboard displays: Bull/Bear Scores: Total confluence scores with signal counts Volatility Index: Current volatility level and regime Spread: Velocity wave spread indicating momentum strength Flow Index: Institutional positioning measurement Price Zone: Premium/discount position with percentage Win Rate: Strategy performance with trade count Position: Current position status (Long/Short/Flat) Signal: Current signal status with confluence indication Strategy Settings and Defaults Backtest Configuration: Initial Capital: $100,000 Position Size: 100% of equity (adjusted by risk management) Commission: 0.1% per trade Slippage: 2 ticks Pyramiding: Disabled (one position at a time) Risk Management Defaults: Risk Per Trade: 2.0% of equity Stop Loss: 2.0 ร— ATR Take Profit: 2.0 ร— Risk (2:1 R:R) Trailing Stop: Enabled, 3.0 ร— ATR Strategy Defaults: Minimum Signals: 2 (requires at least 2 systems to agree) Use Confluence Scoring: Enabled (uses weighted scores) Show Visual Features: Enabled (displays all chart elements) How to Use This Strategy Step 1: Configure Risk Parameters Set risk per trade, stop loss ATR multiplier, and take profit R:R ratio based on your risk tolerance. Step 2: Choose Entry Mode Select standard mode (binary count) for simplicity or confluence mode (weighted scores) for advanced filtering. Step 3: Set Minimum Signals Higher minimum (3-4) = fewer but higher quality trades. Lower minimum (2) = more trades but lower quality. Step 4: Enable Trailing Stops Trailing stops lock in profits on winning trades. Adjust trailing ATR multiplier based on market volatility. Step 5: Monitor Dashboard Watch bull/bear scores in real-time. Scores >= 4 indicate strong confluence. Scores >= 6 indicate exceptional setups. Step 6: Review Visual Confluence Check that multiple visual elements align: trend, structure, liquidity, and flow should all confirm signal direction. Step 7: Backtest Thoroughly Test on multiple instruments and timeframes. Adjust parameters based on results. Aim for 100+ trades for statistical significance. Best Practices Use on liquid instruments (major forex, large-cap stocks, major crypto) Test on multiple timeframes - higher timeframes generally more reliable Increase minimum signals in choppy markets, decrease in trending markets Monitor win rate - aim for 40%+ with 2:1 R:R for profitability Adjust stop loss ATR multiplier based on instrument volatility Use confluence mode for highest quality signals Review dashboard before entering - ensure multiple systems align Combine with higher timeframe analysis for additional confirmation Be patient - wait for high confluence scores (4+) for best results Respect the risk management - never override stop losses Strategy Limitations Requires sufficient historical data for all eight systems May generate fewer signals than single-indicator strategies Performance varies by instrument and timeframe Backtesting results do not guarantee future performance Slippage and commission can significantly impact results Extreme market conditions may cause all systems to fail simultaneously Requires regular monitoring and parameter adjustment Not suitable for very low timeframes (< 5 minutes) due to noise Input Parameters Risk Management: Risk Per Trade %: Percentage of equity to risk (default: 2.0%) Stop Loss (ATR): ATR multiplier for stops (default: 2.0) Take Profit (R:R): Risk:reward ratio (default: 2.0) Use Trailing Stop: Enable trailing stops (default: enabled) Trailing ATR: ATR multiplier for trailing (default: 3.0) Strategy Settings: Minimum Signals: Required system agreements (default: 2) Use Confluence Scoring: Enable weighted scoring (default: enabled) Show Visual Features: Display chart elements (default: enabled) Originality Statement This strategy is original in its comprehensive multi-system approach. While individual analytical methodologies are established concepts, this strategy is justified because: It integrates eight distinct analytical systems into a unified decision-making engine The confluence scoring system measures agreement across independent methodologies Bonus scoring for extreme conditions identifies exceptional setups Comprehensive risk management adapts to volatility and account size Visual integration allows traders to verify confluence across multiple dimensions The dashboard provides real-time transparency into all system states Systematic approach removes emotional decision-making from trading Strategy Performance Notes When publishing this strategy, ensure you: Use realistic account size (default: $100,000) Include realistic commission (0.1%) and slippage (2 ticks) Generate 100+ trades for statistical significance Document all default settings in description Explain risk management parameters clearly Show results on multiple instruments/timeframes Discuss limitations and market conditions where strategy works best Never make unrealistic claims about future performance Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Backtesting results are hypothetical and do not represent actual trading. Actual results may differ significantly from backtested results due to slippage, commission, market conditions, and execution differences. The strategy combines multiple analytical systems, but no combination of indicators can predict future price movement with certainty. Market conditions change, and strategies that worked historically may not work in the future. Users must conduct their own analysis and risk assessment before using this strategy. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this strategy. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Strategia Pine Scriptยฎ
di officialjackofalltrades
Periodic Anchored VWAPPeriodic Anchored VWAP Overview The Periodic Anchored VWAP is a professional volume-weighted average price indicator that anchors VWAP calculations to fixed calendar periods. Unlike traditional anchored VWAP tools that require manual point-and-click anchoring, this indicator automatically resets VWAP calculations at predefined interval boundaries (hourly, daily, weekly, monthly), providing a clean, systematic approach to volume-weighted support and resistance analysis. Key Features 13 Anchor Periods: 1H, 4H, 6H, 12H, 1D, 3D, 1W, 2W, 1M, 2M, 3M, 6M, 12M Smart Timeframe Filtering: Automatically hides VWAPs when chart timeframe equals or exceeds anchor period Individual Period Controls: Toggle each VWAP on/off independently with custom colors Master Toggle: Global show/hide for all VWAP lines Dynamic Labels: Real-time price labels at the right edge of chart Compact Settings: Streamlined input panel with inline color pickers How It Works The Golden Rule VWAP is displayed ONLY when: Chart Timeframe < Anchor Period This ensures VWAP lines always represent meaningful continuous calculations. For example: 1H VWAP appears only on timeframes smaller than 1 hour (e.g., 15min, 5min, 1min) 1D VWAP appears only on timeframes smaller than daily (e.g., 4H, 1H, 15min) 1W VWAP appears only on timeframes smaller than weekly (e.g., daily, 4H, 1H) Anchor Logic Each VWAP resets at its respective period boundary: Intraday Anchors (1H, 4H, 6H, 12H): Reset at the start of each hour/4-hour/6-hour/12-hour period Daily Anchors (1D, 3D): Reset at daily market open Weekly Anchors (1W, 2W): Reset at weekly market open Monthly Anchors (1M, 2M, 3M, 6M, 12M): Reset at month boundaries Input Settings Master Control: VWAP Display Show / Hide Global toggle for all VWAP lines Intraday Anchors (Default: Off): 1H => Teal => Short-term intraday reference 4H => Pink => Medium-term intraday reference 6H => Magenta => Half-day session reference 12H => Cyan => Full session reference Anchor VWAP Periods (Default: On): 1D => Yellow/Green => Daily support/resistance 3D => Purple => Multi-day trend reference 1W => Blue => Weekly pivot levels 2W => Light Blue => Bi-weekly trend 1M => Green => Monthly support/resistance 2M => Dark Green => 2-month horizon 3M => Yellow => Quarterly reference 6M => Orange => Semi-annual trend 12M => Red => Annual benchmark Visual Display VWAP Lines: Colored lines plotted at 2px thickness for clear visibility: Right-Edge Labels: Compact labels showing period and current VWAP value Smart Label Colors: Black or white text automatically based on line color for optimal readability Use Cases Intraday Trading: Use 1H, 4H, 6H, 12H VWAPs on lower timeframes (e.g., 5min, 15min) to identify intraday support/resistance levels Multiple intraday VWAPs reveal stacked liquidity zones Swing Trading: 1D, 3D, 1W, 2W VWAPs help identify trend direction and mean reversion levels Weekly VWAP provides context for daily price action Position Trading: 1M, 3M, 6M, 12M VWAPs offer long-term benchmarks for valuation assessment Multiple monthly VWAPs show multi-year price distribution Multi-Timeframe Analysis: Visualize up to 13 VWAP levels simultaneously Identify confluences where multiple VWAP periods align Observe how price interacts with different anchored levels Important Notes Timeframe Limitations: VWAPs automatically hide when the chart timeframe is equal to or greater than the anchor period (prevents misleading point-to-point lines) Intraday Anchors Disabled by Default: Enable only the periods relevant to your trading style to reduce visual clutter Monthly Anchors: Use 30-day approximation for minute calculations; display logic ensures they only appear on daily or lower timeframes Label Positioning: Labels appear 1-13 bars to the right of the current bar to prevent overlap with price action Performance Efficiently coded with looped label management No repainting โ€” all calculations are historical Compatible with all markets and symbols Version History v.1.0 => Initial release with 13 anchor periods, timeframe validation, and dynamic labels Start using Periodic Anchored VWAP to elevate your volume-weighted analysis across all timeframes!
Indicatore Pine Scriptยฎ
di BacktestTerminal
Adaptive Flow Analyzer [JOAT]Adaptive Flow Analyzer Introduction The Adaptive Flow Analyzer is an advanced open-source volatility regime classification indicator that combines dynamic regime detection, entropy analysis, adaptive bands, and momentum waves into a unified flow state system. This indicator helps traders identify whether the market is trending, ranging, or choppy by analyzing volatility patterns, price distribution entropy, and momentum characteristics in real-time. Unlike basic volatility indicators that simply show ATR or Bollinger Bands, this system classifies market conditions into actionable regimes and recommends appropriate trading strategies. Trending regimes favor breakout and trend-following approaches, ranging regimes favor mean-reversion strategies, and choppy regimes signal to avoid trading. The indicator is designed for traders who understand that different market conditions require different strategies and that regime identification is critical for consistent profitability. Why This Indicator Exists This indicator addresses a fundamental challenge in trading: applying the right strategy to the right market condition. Most traders lose money because they use trend-following strategies in ranging markets or mean-reversion strategies in trending markets. By combining multiple regime analysis methodologies, this indicator reveals: Volatility Regime Detection: Classifies markets as Trending, Ranging, or Choppy based on volatility ratio and directional alignment Entropy Analysis: Measures price distribution chaos using information theory - high entropy = uncertainty, low entropy = order Adaptive Bands: Dynamic upper/lower bands that adjust to volatility - shows price position relative to extremes Momentum Waves: RSI rate-of-change visualization showing momentum acceleration and deceleration Chaos Zones: Identifies extreme uncertainty periods when trading should be avoided Strategy Recommendations: Suggests Trend Follow, Mean Revert, or Avoid based on current regime Each component provides a different lens on market flow. Regime classification shows condition, entropy shows uncertainty, bands show extremes, momentum shows acceleration, and chaos zones show danger. Together, they create a comprehensive view of market state. Core Components Explained 1. Volatility Regime Detection The indicator classifies markets into three regimes using volatility ratio and trend alignment: atr = ta.atr(14) atrSma = ta.sma(atr, 50) volRatio = atr / atrSma // Trending: Aligned EMAs + normal volatility trendStrength = (ema9 > ema21 and ema21 > ema50) or (ema9 < ema21 and ema21 < ema50) regime = volRatio > 1.5 ? 0 : // Choppy trendStrength ? 2 : // Trending 1 // Ranging Regime classification: Trending (2): EMAs aligned + volatility ratio < 1.5 - directional market with follow-through Ranging (1): EMAs not aligned + volatility ratio < 1.5 - oscillating market with mean reversion Choppy (0): Volatility ratio > 1.5 - erratic market with no clear pattern The indicator displays regime with color-coded background and text in dashboard. Trending = green, Ranging = orange, Choppy = red. 2. Entropy Calculation Entropy measures the randomness or uncertainty in price distribution using information theory: The indicator: Collects price changes over lookback period (default 50 bars) Creates histogram by dividing changes into bins (default 10 bins) Calculates Shannon entropy: -ฮฃ(p * log(p)) where p = probability Normalizes to 0-100 scale for easy interpretation Entropy interpretation: High entropy (>70): Price changes are random and unpredictable - high uncertainty Medium entropy (40-70): Moderate predictability - mixed conditions Low entropy (<40): Price changes are ordered and predictable - low uncertainty High entropy warns of chaotic conditions where patterns break down. Low entropy confirms regime reliability. The indicator plots entropy as a gradient area chart (green to red). 3. Adaptive Bands System Adaptive bands adjust to volatility and show price position relative to extremes: ma = ta.sma(close, 50) upperBand = ma + (atr * 2.0) lowerBand = ma - (atr * 2.0) // Normalize price position to 0-100 pricePosition = (close - lowerBand) / (upperBand - lowerBand) * 100 The indicator displays: Price position oscillator (0-100 scale) Reference lines at 0 (lower band), 50 (middle), 100 (upper band) Multi-layer glow effect on position line for visibility Color changes based on regime (green for trending, orange for ranging, red for choppy) Price position interpretation: Above 75: Overbought - expect mean reversion in ranging regime Below 25: Oversold - expect mean reversion in ranging regime Sustained above 50: Bullish in trending regime Sustained below 50: Bearish in trending regime 4. Momentum Waves Momentum waves visualize RSI rate-of-change to show acceleration and deceleration: rsi = ta.rsi(close, 14) rsiMomentum = ta.change(rsi, 3) momentumStrength = math.abs(rsiMomentum) / 10 * 100 The indicator plots momentum as gradient area chart: Green gradient: Positive momentum (RSI rising) Red gradient: Negative momentum (RSI falling) Intensity: Stronger color = faster momentum change Height: Taller wave = larger momentum shift Momentum waves reveal: Acceleration into trends (expanding waves) Deceleration at reversals (contracting waves) Momentum divergence from price (warning signal) Momentum exhaustion (extreme waves followed by collapse) 5. Chaos Zone Detection Chaos zones occur when entropy exceeds threshold (75) AND volatility ratio exceeds 1.5: inChaosZone = entropyNormalized > 75 and volRatio > 1.5 When chaos zone is active: Pulsing red background appears "CHAOS ZONE" label displays Dashboard shows "CHAOS" flow state Strategy recommendation changes to "AVOID" Chaos zones represent extreme uncertainty where technical patterns break down. Trading during chaos zones typically results in whipsaws and losses. The indicator warns to stay flat. 6. Strategy Recommendations Based on regime classification, the indicator recommends trading approach: Trending Regime: "TREND FOLLOW" - Use breakout strategies, ride momentum, trail stops Ranging Regime: "MEAN REVERT" - Fade extremes, buy support, sell resistance Choppy Regime: "AVOID" - Stay flat, wait for regime clarity The dashboard displays current recommendation with color coding. This prevents applying wrong strategy to wrong condition. Visual Elements Price Position Oscillator: Multi-layer glow line showing position in bands (0-100) Reference Lines: Horizontal lines at 0, 50, 100 with gradient colors Regime Background: Color-coded background (green/orange/red) based on regime Entropy Area Chart: Gradient fill (green to red) showing uncertainty level Momentum Waves: Gradient area chart showing RSI momentum Chaos Zone Background: Pulsing red background during extreme uncertainty Dashboard: Real-time regime state and strategy recommendations The dashboard displays 9 key metrics: 1. Flow Regime (Trending/Ranging/Choppy) 2. Flow Ratio (volatility multiple) 3. Chaos Index (entropy percentage) 4. Strategy Mode (Trend Follow/Mean Revert/Avoid) 5. Momentum (Strong Up/Strong Down/Neutral) 6. Confidence (High/Medium/Low) 7. Flow State (Directional/Oscillating/Erratic/Chaos) 8. Position (Overbought/Oversold/Neutral) Input Parameters Flow Dynamics: Flow Period: ATR calculation length (default: 14) Band Multiplier: ATR multiple for bands (default: 2.0) Equilibrium Period: Moving average length (default: 50) Adaptive Bands: Enable dynamic band adjustment Entropy Analysis: Chaos Measurement: Lookback for entropy calculation (default: 50) Distribution Bins: Number of histogram bins (default: 10) Chaos Zones: Enable/disable chaos zone detection Visualization: Flow Bands: Show/hide adaptive bands Regime Coloring: Enable/disable background colors Entropy Overlay: Show/hide entropy chart Momentum Waves: Show/hide RSI momentum How to Use This Indicator Step 1: Identify Current Regime Check the dashboard for Flow Regime. This determines your trading approach. Trending = breakouts, Ranging = reversals, Choppy = avoid. Step 2: Assess Chaos Index Check entropy level. High chaos (>70) = unreliable patterns. Low chaos (<40) = reliable patterns. Only trade when chaos is low to medium. Step 3: Check Strategy Recommendation Dashboard shows recommended approach. Follow it. Don't use trend strategies in ranging markets or mean reversion in trending markets. Step 4: Monitor Price Position In ranging regime: Buy near 0-25 (oversold), sell near 75-100 (overbought). In trending regime: Stay with trend when above/below 50. Step 5: Watch Momentum Waves Expanding waves = acceleration (enter trends). Contracting waves = deceleration (prepare for reversal). Divergence = warning. Step 6: Avoid Chaos Zones When chaos zone activates (pulsing red background), close positions and wait. Don't trade during extreme uncertainty. Best Practices Regime determines strategy - always check before trading High entropy + choppy regime = stay flat Low entropy + trending regime = best trend-following conditions Low entropy + ranging regime = best mean-reversion conditions Momentum waves lead price - watch for acceleration Chaos zones are dangerous - respect them Confidence level in dashboard shows setup quality Flow ratio > 1.5 = elevated risk regardless of regime Position oscillator works differently in each regime Regime changes take time to confirm - don't trade transitions Indicator Limitations Regime classification is retrospective - may lag at transitions Entropy calculation requires sufficient data - unreliable on new instruments Choppy regime can persist longer than expected Adaptive bands can whipsaw during regime transitions Momentum waves show acceleration, not direction Chaos zones can have false positives during news events The indicator shows current state, not future regime Strategy recommendations are general - not specific entry signals Regime classification may differ across timeframes Technical Implementation Built with Pine Script v6 using: ATR-based volatility ratio calculations EMA alignment for trend strength detection Shannon entropy calculations with histogram binning Adaptive band system with dynamic adjustment RSI momentum rate-of-change analysis Chaos zone detection with dual criteria Multi-gradient visualization with pulsing effects Real-time dashboard with 9 regime metrics The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its comprehensive regime integration approach. While individual components (ATR, entropy, bands, RSI) are established concepts, this indicator is justified because: It synthesizes volatility analysis, entropy theory, and momentum detection into unified regime classification The entropy calculation applies information theory to price distribution for uncertainty measurement Chaos zone detection combines entropy and volatility for extreme condition identification Strategy recommendations adapt to regime in real-time Momentum wave visualization shows RSI acceleration, not just level The confidence scoring system quantifies regime reliability Multi-gradient visualization with pulsing effects enhances regime awareness Real-time dashboard presents 9 metrics simultaneously for holistic regime analysis Each component contributes unique information: Regime shows condition, entropy shows uncertainty, bands show extremes, momentum shows acceleration, chaos shows danger, and strategy shows approach. The indicator's value lies in presenting these complementary perspectives simultaneously with unified classification and actionable recommendations. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Regime analysis is a tool for understanding market conditions, not a crystal ball for predicting future behavior. Trending regimes can become ranging. Ranging regimes can become choppy. Past regime patterns do not guarantee future regime patterns. Market conditions change, and strategies that worked historically may not work in the future. The regime classifications displayed are analytical constructs based on current market data, not predictions of future market state. High confidence scores do not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
OneDose - MTF Trend Dashboard (FREE V1)This free multi time frame trend dashboard indicator that uses EMA based signals across multiple time frames to quickly identify overall market direction and strength to BUY or SELL. FEATURES Multi-Timeframe Trend Dashboard M5 โ†’ Monthly trend alignment 50 / 200 EMA trend detection Real-time directional arrows (โ–ฒ โ–ผ) BIAS % showing overall trend strength Clean UI (dark & light mode support) Toggle background visibility Fully optimized for clarity and readability HOW TO USE Use this indicator to align trades with the dominant trend by checking the BIAS and individual timeframe arrows. When most timeframes align (UP or DOWN) the indicator will point a stronger directional conviction bias with a % showing BUY or SELL. Use higher timeframes (Daily, Weekly, Monthly) to confirm the broader market bias. Use lower timeframes (M5โ€“H1) for timing entries in the direction of the trend. Avoid trading against strong multi timeframe alignment for better high probability trading setups.
Indicatore Pine Scriptยฎ
di JaeBearInvests10
Weekly & Monthly HLThis indicator automatically plots the current weekly and monthly high and low levels as clean horizontal lines on the chart. These levels are widely used by traders to identify key areas of interest where price may react, reverse, or consolidate. The script is designed with a minimal and distraction-free layout. Labels are positioned on the right side of the chart, keeping the view clean while clearly marking each level. Weekly levels are shown in blue and monthly levels in red, making it easy to distinguish between short-term and higher timeframe zones. This tool can be helpful for understanding market structure, planning entries, and managing risk across different timeframes.
Indicatore Pine Scriptยฎ
di gradsgold
Institutional Decision Engine [JOAT]Institutional Decision Engine Introduction The Institutional Decision Engine is a comprehensive, unified trading system that integrates six distinct analytical engines into a cohesive decision-making framework. This is not just another indicator - it's a complete trading intelligence system designed to replicate the analytical approach of institutional trading desks. By combining market regime classification, structural analysis, momentum pressure, volatility intelligence, directional bias, and signal qualification into one unified system, this engine provides the holistic market analysis that professional traders rely on for consistent success. This tool is built for serious traders who understand that successful trading requires multiple layers of analysis and confirmation. Whether you're a systematic trader needing a complete decision framework, a discretionary trader seeking comprehensive market intelligence, or an algorithm developer requiring robust signal generation, this engine provides the institutional-grade analysis needed to trade with the confidence and precision of professional market participants. Why This Engine Exists Most traders use fragmented indicators that provide conflicting signals, leading to confusion and poor decisions. This engine solves that fundamental problem by: Unified Framework: Six engines working together as one cohesive system Regime-Adaptive Logic: Automatically adjusts analysis based on market conditions Multi-Layer Confirmation: Requires confluence across multiple analytical dimensions Signal Qualification: Objectively scores and grades every potential signal Risk Intelligence: Dynamic risk management based on market volatility and structure Visual Clarity: Comprehensive visualization of all analytical components The engine transforms the chaotic world of multiple indicators into a single, unified source of market truth that provides clear, actionable trading intelligence. Core Components Explained Engine 1: Market Regime Classification The first engine identifies the current market environment: // Regime Classification: 0=Neutral, 1=Trending, 2=Ranging, 3=Volatile int market_regime = 0 if volatility_state == 1 and adx_value < i_trend_threshold market_regime := 3 // Volatile Expansion else if adx_value >= i_trend_threshold market_regime := 1 // Trending else if volatility_state == -1 market_regime := 2 // Ranging/Consolidation // Regime Strength (0-100) float regime_strength = 0.0 if market_regime == 1 regime_strength := math.min(adx_value / 50.0 * 100, 100) else if market_regime == 2 regime_strength := math.min((1 - volatility_ratio) / (1 - i_contraction_mult) * 100, 100) Regime types: Trending: Strong directional markets with ADX > 25 Ranging: Low volatility consolidation phases Volatile: High volatility, chaotic conditions Neutral: Transition periods between defined states Regime Strength: How strongly the market exhibits regime characteristics Regime classification determines which strategies are appropriate and how risk should be managed. Engine 2: Structural Behavior Analysis The second engine maps market structure and key levels: // Structure Analysis bool higher_high = not na(last_swing_high) and not na(prev_swing_high) and last_swing_high > prev_swing_high bool lower_low = not na(last_swing_low) and not na(prev_swing_low) and last_swing_low < prev_swing_low bool higher_low = not na(last_swing_low) and not na(prev_swing_low) and last_swing_low > prev_swing_low bool lower_high = not na(last_swing_high) and not na(prev_swing_high) and last_swing_high < prev_swing_high // Structure Score (0-100) float structure_score = 0.0 structure_score += structure_bias == 1 ? 30 : structure_bias == -1 ? 0 : 15 structure_score += higher_high ? 20 : lower_low ? 0 : 10 structure_score += bos_bullish ? 30 : bos_bearish ? 0 : 15 Structure components: Swing Points: Key highs and lows defining market structure Market Structure: Higher highs/higher lows (bullish) or lower highs/lower lows (bearish) Break of Structure: Confirmation of trend changes Liquidity Zones: Equal highs/lows where orders cluster Structure Score: Quantifies structural quality (0-100) Structural analysis identifies the levels where professional traders place orders. Engine 3: Momentum Pressure Analysis The third engine measures buying and selling pressure: // Composite Momentum Score float momentum_bull_score = 0.0 momentum_bull_score += wt_bullish ? 25 : 0 momentum_bull_score += rsi_bullish ? 25 : 0 momentum_bull_score += weighted_pressure > 0.1 ? 25 : weighted_pressure > 0 ? 12.5 : 0 momentum_bull_score += macd_bullish ? 25 : 0 // Net Momentum State float net_momentum = momentum_bull_score - momentum_bear_score int momentum_state = net_momentum > 25 ? 1 : net_momentum < -25 ? -1 : 0 Momentum components: WaveTrend: Trend-following momentum oscillator RSI: Relative strength with momentum filter Pressure Analysis: Volume-weighted buying/selling pressure MACD: Trend acceleration and deceleration Momentum State: Bullish, bearish, or neutral momentum Momentum analysis confirms the strength and timing of potential moves. Engine 4: Volatility Intelligence Layer The fourth engine analyzes volatility cycles and squeezes: // Squeeze Detection bool squeeze_on = bb_lower > kc_lower and bb_upper < kc_upper bool squeeze_off = bb_lower < kc_lower or bb_upper > kc_upper // Volatility Cycle Phase int vol_cycle_phase = 0 if squeeze_on and squeeze_duration > 5 vol_cycle_phase := 1 // Compression else if squeeze_off and squeeze_duration > 0 vol_cycle_phase := 2 // Expansion Trigger else if volatility_ratio > 1.2 vol_cycle_phase := 3 // Active Expansion // Adaptive Multipliers float stop_multiplier = vol_cycle_phase == 3 ? 1.5 : vol_cycle_phase == 1 ? 0.8 : 1.0 float target_multiplier = vol_cycle_phase == 3 ? 1.3 : vol_cycle_phase == 1 ? 1.5 : 1.0 Volatility components: Bollinger Bands: Standard deviation-based volatility Keltner Channels: ATR-based volatility Squeeze Detection: Volatility compression patterns Cycle Phases: Compression, trigger, expansion, normal Adaptive Multipliers: Dynamic risk adjustments Volatility intelligence ensures risk management adapts to market conditions. Engine 5: Directional Bias Model The fifth engine establishes directional conviction: // Bias Computation float bullish_bias = 0.0 bullish_bias += ma_bullish_stack ? 30 : 0 bullish_bias += price_above_structure ? 20 : 0 bullish_bias += close > ma_anchor ? 15 : 0 bullish_bias += pos_di > neg_di ? 20 : 0 bullish_bias += slopes_aligned_bull ? 15 : 0 // Net Bias float net_bias = bullish_bias - bearish_bias int bias_direction = net_bias > i_bias_threshold / 2 ? 1 : net_bias < -i_bias_threshold / 2 ? -1 : 0 Bias components: MA Stack: Fast/slow/anchor moving average relationships Price Position: Where price sits relative to MAs ADX Direction: +DI vs -DI for trend confirmation MA Slopes: Directional momentum of moving averages Bias Strength: 0-100 indicating directional conviction Directional bias provides the primary directional framework for trading decisions. Engine 6: Signal Qualification System The sixth engine evaluates and qualifies all signals: // Confluence Scoring int bull_confluence = 0 bull_confluence += market_regime == 1 and trend_direction == 1 ? 2 : 0 bull_confluence += structure_bias == 1 ? 1 : 0 bull_confluence += bos_bullish ? 1 : 0 bull_confluence += momentum_state == 1 ? 2 : 0 bull_confluence += bias_direction == 1 ? 2 : 0 bull_confluence += squeeze_off and net_momentum > 0 ? 1 : 0 // Qualification Check bool bull_qualified = bull_confluence >= i_min_confluence bool bear_qualified = bear_confluence >= i_min_confluence // Final Signal Generation bool long_signal = bull_qualified and bull_trigger and bars_since_bull > i_signal_cooldown and bar_confirmed and market_regime != 3 Qualification components: Confluence Score: Points from each engine (max 10) Minimum Threshold: Required confluence for signals (default: 5) Signal Triggers: Entry conditions (crossovers, breakouts, etc.) Cooldown Management: Prevents overtrading Quality Grades: A-D grades based on confluence score Signal qualification ensures only high-probability setups are traded. Visual Elements Directional Cloud: Dynamic cloud showing trend and conviction Signal Markers: Clear entry signals with quality grades Risk Levels: Visual stop loss and target levels Structure Points: Marked swing highs and lows Squeeze Background: Volatility compression indication Signal Background: Signal strength background shading Moving Averages: Color-coded MA system Dashboard: Comprehensive intelligence panel The dashboard displays: 1. Current market regime and strength 2. Trend direction and bias scores 3. Momentum state and pressure readings 4. Volatility cycle and squeeze status 5. Structure analysis and bias 6. Signal qualification and grade 7. Risk metrics and multipliers 8. Active position information Input Parameters Regime Engine: ADX Period: Trend strength calculation (default: 14) Trend Threshold: Minimum ADX for trend (default: 25) Volatility Multipliers: Expansion/contraction thresholds Structure Engine: Swing Sensitivity: Pivot detection sensitivity (default: 10) Structure Confirmation: Bars for confirmation (default: 3) Show Liquidity: Display liquidity zones Momentum Engine: Pressure Period: Pressure calculation (default: 14) WaveTrend Settings: Channel and average periods RSI Period: Momentum oscillator (default: 14) Volatility Layer: Bollinger Settings: Period and deviation Keltner Settings: Period and multiplier Adaptive Stops: Enable dynamic stops Signal Qualification: Minimum Confluence: Required score (default: 5) Signal Cooldown: Bars between signals (default: 5) Minimum R:R: Risk/reward requirement (default: 1.5) How to Use This Engine Step 1: Understand Market Regime Check the dashboard for current regime. Avoid trading in volatile regimes (red), focus on trending regimes (green), and adapt strategy for ranging regimes (purple). Step 2: Assess Directional Bias Look for strong bias scores (>60) with MA stack confirmation. The bias should be clear across multiple components before considering entries. Step 3: Confirm Momentum Ensure momentum supports the directional bias. Look for pressure in the direction of trade and momentum acceleration. Step 4: Verify Structure Entries near structural levels have higher probability. Look for BOS confirmation and avoid trading against established structure. Step 5: Check Volatility Be aware of volatility cycles. Squeeze releases offer high-probability breakout opportunities. Adjust stops based on volatility multipliers. Step 6: Qualify Signals Only take signals with 5+ confluence points. A-grade signals (8+ points) offer the highest probability and deserve larger position sizing. Best Practices Always trade in the direction of the dominant bias Higher confluence scores mean higher probability setups Respect regime changes - they signal strategy adjustments Use the directional cloud as primary trend guidance Place stops using the volatility-adjusted levels Scale out at multiple targets as provided Avoid trading during volatile regimes unless experienced Wait for A-grade setups rather than forcing mediocre trades Keep a trade journal tracking regime/bias combinations Never override the system's risk management without strong reason Strategy Integration This engine is a complete trading system: Use signal qualification as primary entry filter Apply regime-based position sizing Import bias scores for trend confirmation Use structure levels for stop placement Integrate volatility multipliers for risk management Export all engine outputs for custom strategies Technical Implementation Built with Pine Script v6 featuring: Six-engine architecture with unified signal processing Advanced regime detection with ADX/ATR analysis Comprehensive structure analysis with swing detection Multi-factor momentum scoring system Volatility cycle analysis with squeeze detection Directional bias calculation with multiple confirmations Signal qualification with confluence scoring Dynamic risk management with adaptive multipliers Comprehensive visualization with directional cloud Real-time dashboard with 12 key metrics Export functions for complete system integration The code uses confirmed bars throughout to prevent repainting and ensure reliable signals. Originality Statement This engine is original in its comprehensive integration of six distinct analytical systems into a unified decision framework. While individual components (ADX, moving averages, RSI, etc.) are established tools, this engine is justified because: It synthesizes six independent analytical engines into one cohesive system The regime-adaptive logic automatically adjusts behavior based on market conditions Signal qualification provides objective, numerical evaluation of trade quality The directional cloud visualization offers intuitive trend analysis Dynamic risk management adapts to volatility and structure Comprehensive dashboard presents all critical metrics in one view Each engine contributes unique insights: regime shows when to trade, structure shows where, momentum shows timing, volatility shows how much, bias shows direction, and qualification shows quality The engine solves the real problem of indicator overload and conflicting signals Export functions enable complete system integration and customization This is institutional-grade analysis typically available only to professional traders The engine's value lies in providing a complete, unified trading intelligence system that eliminates analysis paralysis and provides clear, actionable signals based on comprehensive market analysis. Disclaimer This engine is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. This is a comprehensive analysis tool, not a guaranteed profit system. Even with comprehensive analysis, markets can behave unpredictably due to news events, economic data, or changes in market structure. Past performance of the system does not guarantee future results. The engine's signals are mathematical calculations based on historical patterns and should be used with proper risk management. Always use stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose on any single trade, regardless of signal quality or confluence score. The author is not responsible for any losses incurred from using this engine. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Indicatore Pine Scriptยฎ
di officialjackofalltrades
[ A L P H A X ] Market Pulse - Real-Time Confluence EngineAlphaX Market Pulse โ€” 5-Timeframe MTF Alignment Dashboard, Weighted Bias Scoring, Market Structure Detection & Real-Time Confluence Engine AlphaX Market Pulse is a professional-grade multi-timeframe analysis cockpit that reads trend, momentum, volatility, and volume across five independent timeframes simultaneously and synthesizes everything into a single weighted Pulse Score and clear trade Verdict. Designed for traders who want to know โ€” before placing a single trade โ€” whether the market is genuinely aligned or simply creating the illusion of a move. Built for XAUUSD, indices, and forex majors on any intraday timeframe. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ธ Visual Overview Full dashboard view showing 5-timeframe alignment, Pulse Score, Verdict, and real-time confluence data on XAUUSD โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ”ฌ The Core Problem This Solves Every experienced trader knows that the single biggest edge in intraday trading is multi-timeframe alignment. When the 1-minute, 5-minute, 15-minute, 1-hour, and 4-hour charts all point in the same direction, trades have dramatically higher follow-through. When they conflict, even technically perfect setups fail. The problem is that manually checking five timeframes before every trade is slow, inconsistent, and easy to bias. AlphaX Market Pulse does it for you โ€” automatically, on every bar, with a weighted scoring engine that gives higher timeframes more influence over the final verdict. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš™ The Four-Engine Analysis System Every timeframe is independently analyzed by four engines running simultaneously: Trend Engine Four factors assessed per timeframe: EMA Ribbon alignment (Fast / Medium / Slow) โ€” is the ribbon stacked bullishly or bearishly? Price position relative to the 200 EMA Anchor โ€” is the market above or below the macro baseline? EMA slope direction โ€” are the moving averages rising or falling? Price position relative to the Fast EMA โ€” is price leading or lagging the momentum line? Each factor contributes to a per-timeframe Trend Score. A score of +4 means all four factors are bullish. A score of -4 means all four are bearish. This granularity is what separates a "technically bullish" market from a genuinely strong one. Momentum Engine Four independent momentum reads per timeframe: RSI position relative to configurable bull and bear thresholds Stochastic K position (above or below midpoint) Stochastic K/D crossover direction MACD line vs signal line relationship Volatility Engine Bollinger Band width measured against its own 20-bar average. When the band is expanding relative to its baseline, the market is entering a higher-conviction phase. When it is compressed below average, the market is coiling โ€” potential breakout pending, but no edge yet. Volume Engine Current bar volume measured against a configurable SMA. Classified into four states โ€” DRY, NORMAL, HIGH, and SPIKE โ€” and used to weight the final bias score upward when institutional participation is evident. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“Š The Weighted Pulse Score Once all five timeframes are analyzed, AlphaX Market Pulse calculates a single Pulse Score from 0 to 100 using a weighted average that gives higher timeframes more influence: 4H (TF5) โ€” 30% weight 1H (TF4) โ€” 25% weight 15M (TF3) โ€” 20% weight 5M (TF2) โ€” 15% weight 1M (TF1) โ€” 10% weight This weighting reflects a core trading principle: the higher the timeframe, the more reliable the signal. A bullish 4H with a bearish 1M is still a bullish market. The Pulse Score reflects that reality rather than treating all timeframes equally. The score is displayed as โ–ฒ BULL 78 / 100 or โ–ผ BEAR 65 / 100 โ€” directional and quantified at a glance. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽฏ The Verdict โ€” One Line That Answers Everything Below the Pulse Score sits the most important row in the dashboard: the VERDICT . This single line synthesizes alignment count, score strength, and confluence quality into a direct trading instruction: โœ“ HIGH CONFIDENCE LONG โ€” all or nearly all timeframes bullish with strong score. This is the setup to trade. โœ“ HIGH CONFIDENCE SHORT โ€” all or nearly all timeframes bearish with strong score. โ–ณ LEAN LONG โ€” CAUTION โ€” majority bullish but not full confirmation. Reduce size or wait. โ–ฝ LEAN SHORT โ€” CAUTION โ€” majority bearish but incomplete alignment. โœ• MIXED โ€” STAND ASIDE โ€” timeframes are conflicting. This is the most important message the dashboard can give you. No trade. โœ• NO CLEAR EDGE โ€” insufficient directional conviction. Wait for clarity. The Verdict alone can prevent the most common and costly trading mistake: entering when the market has no clear direction. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“‹ The Dashboard โ€” Complete Reference The dashboard is organized into three sections: Section 1 โ€” Multi-Timeframe Grid Five rows, one per timeframe. Each row shows: Timeframe label โ€” the period being analyzed (fully configurable) Trend โ€ข Momentum โ€” combined directional arrows for both engines. โ–ฒโ–ฒ means strongly bullish, โ–ณ means mildly bullish, โ€” means flat Bias score โ€” the directional bias value for that timeframe with a โ–ฒ or โ–ผ prefix At a glance you can see exactly which timeframes agree, which are lagging, and which are conflicting. Section 2 โ€” Synthesis Layer ALIGNMENT โ€” the alignment state across all five timeframes with a count (e.g. 4โ–ฒ 1โ–ผ 0โ€”) PULSE SCORE โ€” the weighted composite score with direction VERDICT โ€” the single-line trade instruction Section 3 โ€” Current Timeframe Detail RSI โ€” value with state label (OVERSOLD / DEPRESSED / NEUTRAL / ELEVATED / OVERBOUGHT) STOCH K โ€” value with zone label (OS ZONE / MID RANGE / OB ZONE) MACD โ€” directional state with momentum confirmation and histogram value STRUCTURE โ€” real-time price structure detection (HIGHER H/L, LOWER H/L, HIGHER HIGH, LOWER LOW, RANGING) VOLATILITY โ€” BB width state (COMPRESSED / NORMAL / ELEVATED / EXPANDING) with percentage value BB WIDTH โ€” expanding or contracting relative to baseline VOLUME โ€” DRY / NORMAL / HIGH / SPIKE with current ratio vs SMA ATR โ€” current ATR value and percentage of price โ€” essential for position sizing EMA STACK โ€” full structural EMA alignment check (FULL BULL STACK / BULL STACK / BEAR STACK / FULL BEAR STACK / MIXED) BULL SCORE โ€” raw weighted bullish score out of 100 BEAR SCORE โ€” raw weighted bearish score out of 100 VS EMA 200 โ€” price distance from the 200 EMA anchor as a percentage โ€” identifies extended and exhausted moves before they reverse โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โ˜ Bias Cloud & EMA System Four EMAs are plotted directly on the chart as structural context: Fast EMA (8) โ€” the immediate momentum reference, colored bullish or bearish based on ribbon state Medium EMA (21) โ€” the intermediate trend filter Slow EMA (55) โ€” the trend backbone Anchor EMA (200) โ€” the macro structural divider used in confidence scoring The Bias Cloud fills the space between the Fast and Slow EMAs with a subtle color โ€” yellow-green when the ribbon is bullish, red when bearish โ€” giving instant visual trend context without cluttering the chart. Both the cloud and the EMAs can be toggled independently. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš  Identifying When NOT to Trade AlphaX Market Pulse is as valuable for telling you to stay out as it is for confirming entries. Watch for these no-trade conditions: VERDICT shows MIXED or NO CLEAR EDGE โ€” the market has no directional consensus. Any trade here is a coin flip. Alignment count is split (e.g. 2โ–ฒ 2โ–ผ 1โ€”) โ€” timeframes are fighting each other. PULSE SCORE is below 40 โ€” insufficient conviction in either direction. VOLATILITY shows COMPRESSED โ€” the market is coiling. No trend energy present. VS EMA 200 shows extreme extension (ยฑ3% or more) โ€” the move may already be exhausted. Late entries here carry high reversal risk. EMA STACK shows MIXED โ€” the moving averages are tangled, a reliable sign of a choppy ranging market. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿš€ How to Use AlphaX Market Pulse โ€” Step by Step Step 1 โ€” Check the Verdict first If it says MIXED or NO CLEAR EDGE โ€” close the dashboard and do not trade. Wait for alignment. If it says HIGH CONFIDENCE โ€” proceed to Step 2. Step 2 โ€” Read the Alignment row How many timeframes agree? 5โ–ฒ 0โ–ผ is the strongest possible setup. Which timeframes are dissenting? A dissenting TF1 (1-minute) is less significant than a dissenting TF5 (4-hour). Step 3 โ€” Check the Pulse Score Above 70 โ€” strong conviction, full size appropriate 55โ€“70 โ€” moderate conviction, consider reduced size Below 55 โ€” marginal, wait for a higher score bar Step 4 โ€” Validate with Section 3 Is RSI in a supportive zone for the direction? Is MACD confirming with momentum? Is STRUCTURE showing the right price behavior (Higher H/L for longs, Lower H/L for shorts)? Is VOLUME at least NORMAL? A signal into DRY volume has poor follow-through probability. Is VOLATILITY NORMAL or EXPANDING? COMPRESSED volatility means no energy behind the move. Step 5 โ€” Use VS EMA 200 as a risk check If price is already 2โ€“3% extended from the 200 EMA in your direction, the risk/reward is poor. Wait for a pullback. If price is near or just crossing the 200 EMA, the setup has maximum structural support. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โšก Key Features ๐Ÿ“Š 5-timeframe simultaneous analysis โ€” fully configurable timeframes, all running independently โš– Weighted Pulse Score โ€” higher timeframes carry more weight, reflecting real trading hierarchy ๐ŸŽฏ Single-line Verdict โ€” HIGH CONFIDENCE / LEAN / MIXED / NO EDGE โ€” one answer, no ambiguity ๐Ÿ”ฌ Four-engine analysis โ€” Trend, Momentum, Volatility, and Volume assessed per timeframe ๐Ÿ“‹ 14-row live dashboard โ€” MTF grid, synthesis layer, and current TF detail in one panel ๐Ÿ“ EMA Stack check โ€” full structural alignment across Fast / Medium / Slow / Anchor EMAs ๐Ÿ“‰ Market Structure detection โ€” real-time Higher H/L, Lower H/L, swing identification ๐Ÿ“ VS EMA 200 distance โ€” percentage deviation from the macro anchor for exhaustion detection โ˜ Bias Cloud โ€” subtle EMA ribbon fill showing trend direction directly on the price chart ๐ŸŽจ Cohesive dual-tone color theme โ€” yellow-green for bullish, red for bearish, gray for neutral โš™ Fully configurable โ€” all timeframes, EMA periods, RSI/Stoch thresholds, BB and ATR settings adjustable ๐Ÿ”• No repainting โ€” all calculations confirmed on bar close โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš™ Settings Reference Timeframes Timeframe 1โ€“5 โ€” set any five timeframes to analyze. Defaults: 1 / 5 / 15 / 60 / 240 Trend Engine Fast EMA โ€” default 8 Medium EMA โ€” default 21 Slow EMA โ€” default 55 Anchor EMA โ€” default 200 Momentum Engine RSI Period โ€” default 14 RSI Bull Threshold โ€” default 60 (RSI above this = bullish momentum) RSI Bear Threshold โ€” default 40 (RSI below this = bearish momentum) Stoch Period โ€” default 14 Stoch Smooth โ€” default 3 Volatility ATR Period โ€” default 14 BB Period โ€” default 20 BB StdDev โ€” default 2.0 Volume Volume SMA Period โ€” default 20 Chart Overlay Show Bias Cloud โ€” toggle the EMA ribbon fill Show EMAs โ€” toggle all four EMA lines Dashboard Show Dashboard โ€” toggle the entire panel Position โ€” Top Left / Top Right / Bottom Left / Bottom Right Text Size โ€” Tiny / Small / Normal โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽฏ Default Settings โ€” Optimized For The default configuration is tuned for XAUUSD (Gold) on the 1-minute timeframe with a 5-timeframe stack of 1M / 5M / 15M / 1H / 4H: EMA periods (8 / 21 / 55 / 200) calibrated for gold's intraday volatility structure RSI thresholds at 40/60 rather than 30/70 โ€” captures momentum earlier in the move BB period 20 with 2.0 StdDev โ€” standard institutional volatility reference Volume SMA 20 โ€” smoothed enough to filter single-bar spikes while still responsive For other instruments or timeframes, adjust: Swing traders (4H / Daily) โ€” set TF stack to 15 / 60 / 240 / D / W, increase EMA periods to 13 / 34 / 89 / 200 Forex majors โ€” defaults work well; lower RSI thresholds to 35/65 for more conservative momentum detection Indices (NAS100, US30) โ€” increase Anchor EMA to 200, use TF stack 5 / 15 / 60 / 240 / D More sensitive โ€” lower RSI thresholds to 35/65, reduce EMA periods Less noise โ€” raise RSI thresholds to 45/55, increase EMA periods โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ‘ฅ Who This Is For ๐Ÿฅ‡ Gold (XAUUSD) intraday traders โ€” built and tuned specifically for gold's fast-moving multi-session structure ๐Ÿ“‰ Forex scalpers and day traders โ€” works on all major and minor pairs with minor setting adjustments ๐Ÿ“Š Index traders โ€” applicable to US30, NAS100, SPX500, DAX, and others ๐Ÿง  Traders who over-trade โ€” the MIXED verdict physically stops you from entering in unfavorable conditions ๐Ÿ“ˆ Traders who manually check multiple timeframes โ€” this replaces that entire workflow with a single dashboard โš™ Systematic and rule-based traders โ€” the quantified Pulse Score provides an objective entry threshold rather than a subjective feeling โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ Notes All calculations are non-repainting โ€” values confirmed on bar close The VS EMA 200 row uses the current timeframe's 200 EMA, not a higher timeframe value Market Structure detection (Higher H/L, Lower H/L) uses the last three bars โ€” designed for fast intraday reads, not swing structure mapping The Bias Cloud and EMA lines can be hidden independently if you prefer a clean price chart with dashboard only All five timeframes are analyzed using the same four-engine framework โ€” no timeframe receives a different logic set โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš  Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All values are generated from historical and real-time price data using mathematical calculations โ€” their accuracy or profitability is not guaranteed. Past performance of any signal or score does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Built for traders who want one answer before every trade โ€” not five charts to check.
Indicatore Pine Scriptยฎ
di AlphaX-Trade
MTF Fair Value GapsMulti-Timeframe Fair Value Gaps (MTF-FVG) with Smart Mitigation Overview The Multi-Timeframe Fair Value Gaps (MTF-FVG) indicator is a high-performance price action tool designed for ICT and SMC (Smart Money Concepts) traders. Unlike standard FVG indicators that limit you to your current view, this script allows you to overlay gaps from up to five additional timeframes simultaneously, providing a "birds-eye view" of institutional liquidity without ever switching charts. Key Features True MTF Integration: Visualize 5m, 15m, 1h, 4h, and Daily FVGs (or your own custom selection) directly on a 1-minute chart. Institutional Alignment: Each FVG is drawn with precision, starting exactly at the wick of the first candle in the 3-bar sequence for professional-grade alignment. Smart Mitigation Engine: To prevent "chart clutter," the indicator automatically detects when price has traded through a zone. Once a gap is mitigated, the script cleans up the box in real-time. Visual Midpoints: Every gap includes an optional dotted midpoint line (Consequent Encroachment), a key level for entries and institutional reactions. Fully Customizable Aesthetic: Includes a refined color palette by default (Grey, Orange, Yellow, Blue, Purple) with 10% shading to ensure your price action remains the focal point. How to Use Confluence Trading: Look for "Stacked FVGs"โ€”areas where a Higher Timeframe (HTF) gap overlaps with a Current Timeframe (CTF) gap. These are high-probability zones for reversals or continuations. Liquidity Re-entry: Use the dotted midpoint line to identify the 50% level (CE) of the gap, where institutions often seek to fill orders. Trend Confirmation: Use HTF gaps to determine the higher-level bias. If a Daily FVG is sitting above price, look for bullish setups on lower timeframes to fill that draw on liquidity. Settings Threshold %: Filter out tiny gaps by setting a minimum percentage size relative to price. Box Extension: Control how far to the right the FVG zones project. Timeframe Toggles: Individually enable or disable the 5 HTF slots. Mitigation Toggle: Choose between keeping historical gaps for reference or auto-deleting them for a cleaner look. Developer Note Built on Pine Scriptยฎ v6 with dynamic_requests enabled, this indicator is optimized for speed and accuracy. It respects the core logic of the original LuxAlgo FVG detection while expanding it into a powerful multi-timeframe suite. Disclaimer: Trading involves significant risk. This indicator is a tool to assist in technical analysis and does not constitute financial advice.
Indicatore Pine Scriptยฎ
di kfatkin
ICT/SMC Sessions + SMT DivergencePro ICT/SMC Structural Suite: Sessions, SMT Divergence & RTH Gaps Overview The ICT/SMC Structural Suite is a highly optimized, "pure structure" indicator designed for traders utilizing Inner Circle Trader (ICT) and Smart Money Concepts (SMC). Unlike traditional indicators that rely on lagging oscillators or moving averages, this script focuses entirely on Time and Price Geometry. It provides an all-in-one visual overlay for institutional trading sessions, Opening Prices, Fair Value Gaps (FVGs), real-time SMT Divergences, and a highly advanced Regular Trading Hours (RTH) Gap engine. It is engineered to be lightweight, incredibly fast, and meticulously anchored to "America/New_York" time to natively handle Daylight Saving Time (DST) shifts without user intervention. Core Features & Technical Breakdown 1. Asset-Aware RTH Gap Engine One of the most complex challenges in charting is accurately mapping the daily RTH gap on continuous Extended Trading Hours (ETH) charts, especially over the weekend. The Logic: This script uses a custom state-management system to bypass the Sunday overnight session on Futures. It isolates the true Regular Trading Hours (session.regular), explicitly locking the Friday close and drawing a dynamic gap box to the Monday 09:30 AM open. Asset-Aware: The engine dynamically reads syminfo.type. If you are trading Futures (e.g., ES/NQ), it tracks the close until 16:15 EST. If you switch to Equities (e.g., AAPL/NVDA), it automatically snaps back to 16:00 EST, preventing after-hours earnings volatility from breaking your gap levels. Quartiles: Automatically calculates and plots the 25%, 50% (Consequent Encroachment), and 75% levels inside the gap. 2. Real-Time Multi-SMT Divergence Traditional divergence indicators wait for a candle to close before signaling. This script utilizes a custom real-time evaluation engine. The Logic: The script establishes historical swing points using a 5-bar pivot lookback (ta.pivothigh / ta.pivotlow). It then compares your active, live tick against those historical pivots. If the current ticker sweeps a previous high/low, but your correlated assets fail to do so, a real-time label flashes on the chart. Customization: Supports up to 5 concurrent assets. Includes a built-in VIX tracker (auto-inversed) and 4 customizable tickers (e.g., NQ, YM, DXY) with toggleable inversion logic. 3. Institutional Time Sessions Visualizes key accumulation and distribution zones via clean, customizable background boxes. Tracks Equity Pre-Market (EPM), London, Asia, and CBDR (Central Bank Dealers Range). DST Proof: All sessions are mathematically forced to America/New_York time in the background, meaning your 09:30 AM open and macro times will never drift when Daylight Saving Time begins or ends. 4. 1st AM FVG Detector Automatically detects and highlights the very first Fair Value Gap (FVG) that forms exclusively during the opening volatility window (09:31 AM โ€“ 10:30 AM EST). This box is extended forward in time as a high-probability draw on liquidity or retracement POI for the remainder of the session. 5. ICT Macros & Opening Prices Macros: Highlights the 14 standard ICT Macro windows (e.g., 09:50-10:10, 10:50-11:10) with non-intrusive, bottom-anchored X-axis labels to keep your price action completely uncluttered. Includes an optional End-of-Day (15:15) macro toggle. True Daily Opens: Plots the Midnight (00:00) Open, NY (08:30) Open, and Equity (09:30) Open as extended horizontal rays. 6. Higher Timeframe (HTF) Liquidity Levels Automatically pulls and plots the Previous Day High/Low (PDH/PDL) and Previous Week High/Low (PWH/PWL) without requiring you to change timeframes. How to Use This Script This indicator is not a "buy/sell" signal generator; it is a structural mapping tool designed to give you contextual awareness of institutional order flow. Trading the RTH Gap: The RTH gap box acts as a powerful magnetic zone. Traders can look for price to rebalance into the gap, using the internal 50% line (Consequent Encroachment) as a target or a bounce level. Validating Reversals with SMT: When price pushes into a Higher Timeframe Liquidity Level (like PDH or PWL), look for an SMT Divergence label to appear. If ES sweeps the high but NQ fails to make a higher high, the divergence adds high-probability confluence to a reversal setup. Opening Price Lenses: Use the Midnight and 08:30 Opens as your daily bias gauge. If price is above the Midnight Open, the daily profile is expansive (bullish); look for manipulation moves below the open to accumulate longs (Judas Swing). Under the Hood (For Pine Geeks) This script was heavily refactored for enterprise-grade execution speed. Repetitive drawing logic has been extracted into single-pass functions, state arrays are trimmed using optimized while loops, and request.security calls are fully gated by boolean toggles to prevent API overhead when custom tickers are disabled.
Indicatore Pine Scriptยฎ
di kfatkin
2