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MTF Range Flip HTF Market Structure Bias What this does This is an intraday strategy for index futures that combines a range-flip entry model on the chart timeframe with a market-structure bias taken from a higher timeframe. It only takes trades in the direction the higher timeframe is trending, and only when price has pulled back into the discount half of the higher-timeframe range. The range flip A "range" here is defined by price action rather than a fixed window. When a candle closes beyond the current range's high or low, that close is treated as meaningful — a new range is built around that candle, and the old one is discarded. Each of these events is a flip. Flips are tracked on two timeframes at once. The chart timeframe supplies the entry trigger; the higher timeframe supplies the range whose midline governs location. Bias — higher-timeframe market structure The strategy only takes longs when higher-timeframe structure is bullish and shorts when it is bearish. Two structure definitions are available: BOS — a higher-timeframe close beyond the last confirmed swing point HH-HL sequence — successive higher highs and higher lows, or the bearish mirror Swing points are confirmed with a configurable pivot length, so structure is only ever read from bars that have already closed. Location — the midline rule By default the strategy buys weakness inside strength: a long needs price below the higher-timeframe range midline, a short needs price above it. This keeps entries on the pullback side rather than chasing extension. A breakout variant is available if you prefer the opposite behaviour. Entry, stop and target Entry — a chart-timeframe range flip that agrees with bias and location, inside the session window. Stop — the most recent confirmed swing pivot beyond the entry, plus a tick buffer. The stop is frozen at the moment of the fill, so later swings never move it. Alternative references (the flip candle's own range, or the previous range) are selectable, and optional minimum and maximum stop widths are available. Target — a multiple of the stop distance, set separately for each side. The default is 1.5R on longs and 0.5R on shorts, reflecting that in testing the two sides did not behave symmetrically. An optional breakeven rule can be armed at a chosen R multiple and applied to one side or both. Depth-based position sizing Depth measures where an entry sits inside the higher-timeframe range, normalised to range width — 0.50 is the midline, 0.00 is the range edge, and a negative value means price is beyond the edge while the higher timeframe has not yet flipped. When enabled, entries deeper than the threshold receive a larger multiplier. The idea is that not every pullback is equal, and the deepest ones can be treated differently from shallow ones. Sizing can be applied to longs, shorts, or both. A separate depth gate can block entries outright unless they are deep enough — useful for isolating whether depth is what separates good entries from poor ones on your instrument. Optional filters Volatility regime — requires daily ATR to sit above a chosen percentile of its own recent history. This model needs range expansion to reach its targets, and this stands it aside in quiet conditions. Off by default. VWAP — session or weekly anchored. Can require price above or below VWAP, or simply block entries more than N ATR away from it without imposing a direction. Off by default. Regime switch — an optional daily or weekly structure read that can restrict trading to one side. Off by default. Session windows — a general entry window plus a separate, later window for shorts. On-chart panel A live table reports bias state, current range, position, stop widths for both sides, filter status, and a signal funnel showing how many flips were blocked by each filter. It also reports average R — overall, split by side, and split by depth bucket. Net profit on a structural-stop strategy is influenced by how wide the stops happened to be, so average R is the more honest read on whether a change actually improved entry quality. Default settings used for the published results Instrument and timeframe: NQ1!, 5-minute chart, higher timeframe 60-minute Initial capital: 100,000 USD Order size: 2 contracts, fixed quantity Pyramiding: 0 — one position at a time, no scaling in Commission: 2.25 USD per contract Slippage: 1 tick Bar detalization: High (~40 ticks per bar) — set this in Properties Script execution: on bar close Notes and limitations Backtested results are hypothetical and do not represent actual trading. Past performance does not guarantee future results, and no strategy performs the same across all market conditions. Set bar detalization to High. With coarse detalization the backtester has to guess the order of touches inside a bar, which flatters any strategy whose stop and target can both sit inside the same candle. Volatility lookback. If you enable the volatility filter, the "ranked vs last N bars" value must be smaller than the number of daily bars your chart can supply. A one-year chart holds roughly 250 trading days, so a 252 setting will return no data. The panel prints an explicit warning if this happens rather than silently passing every trade. Sizing multipliers use whole contracts. With a base size of 2 and a 2x multiplier you get 4 contracts; fractional results are rounded and floored at 1. Sample size. The stricter filters and gates cut trade count quickly. If a configuration leaves you with only a few dozen trades, treat the result as indicative rather than conclusive regardless of how good it looks. Defaults are a starting point, not a recommendation. Test on your own instrument, timeframe and cost assumptions before drawing conclusions. This script is published for educational purposes. It is not financial advice.

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của Mikey2timez

ATR Log This ATR represent price movement in percentage term in logarithimic scale. Example - A stock was 100 USD 5 years back. it moved 3 USD on a certain day during that period. ATR of that stock on that day was 3%. Today that stock moved 3 USD but the value of that stock is 300 USD. ATR of that stock today is 1%. If we plot this ATR, we can see how stock price movement expanded or compressed over a period of time. It gives a edge over normal ATR to judge historical dryness or fluidity in price movement

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của AritraLaha

Multi-Timeframe Trend & Alignment Comprehensive Technical Overview: Multi-Timeframe Trend & Alignment Pro This custom script is an institutional-grade technical analysis dashboard designed for professional traders who demand multi-timeframe confirmation, structural alignment, and real-time performance tracking directly on their chart canvas. By unifying multiple Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), HTF (Higher Timeframe) momentum oscillators, and performance metrics into a single dynamic interface, the script eliminates chart clutter and provides an immediate read on market structure. Key Architectural Features Dual Moving Average Suite: Supports up to 10 customizable EMAs and 10 customizable SMAs, allowing traders to track short-term scalping triggers alongside long-term structural baselines simultaneously. Dynamic Table Matrix: Automatically aggregates active moving averages, sorts them by price value in real time, calculates distance metrics (points and percentage from current price), and dynamically adjusts background coloring based on structural alignment. Multi-Timeframe (MTF) Intelligence: Incorporates robust higher-timeframe metrics via request.security, evaluating trend health across EMAs, MACD, ADX trend strength, SuperTrend direction, and RSI without repainting issues. Performance Percentage Tracking: Automatically computes and displays Day-to-Day (DTD), Week-to-Week (WTD), Month-to-Month (MTD), Year-to-Date (YTD), and 1-Year rolling performance benchmarks. Clean Visual Management: Features native price scale label projections and conditional toggle controls to ensure a distraction-free trading workspace. Input Customization Guide Global Settings Source: The price source used for all moving average calculations (default is close). HTF Trend Timeframe: Selects the reference timeframe for higher-timeframe trend context (e.g., Daily, 4-Hour, Weekly). EMA / SMA Settings Show / Length / Width / Color: Inline controls to toggle individual averages on/off, adjust lookback lengths, set line thickness (1–4), and assign distinct color profiles. Display Controls Show Alignment Table: Toggles the real-time on-screen data matrix. Show Performance %: Appends DTD, WTD, MTD, YTD, and 1-Yr return metrics to the summary table. Show HTF Trend Metrics: Appends higher-timeframe technical indicators (MACD, ADX, SuperTrend, RSI) to the dashboard. Trading Strategies & Practical Applications Trend Stack Confluence: When shorter-length moving averages cleanly stack above longer-length averages while price holds above key HTF baselines, the table shifts to a bullish-aligned background, signaling institutional accumulation. Mean Reversion & Distance Tracking: Use the Dist (Pts / %) column in the real-time table to gauge overextension. Extreme percentage deviations from core moving averages (like the 50 or 200 period lines) often highlight prime mean-reversion entries or profit-taking zones. Multi-Timeframe Filter: Pair the primary chart execution with the embedded HTF metrics. Taking long setups only when the HTF EMA stack and SuperTrend register as bullish ensures alignment with dominant macro order flow.

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của TheTrueNorth_01

AMD Structure Map [AxeAlgo]AMD Structure Map ============================================ ------------------------------------------------------------ WHAT THIS SCRIPT DOES ------------------------------------------------------------ AMD Structure Map automatically detects the Accumulation → Manipulation → Distribution cycle on any chart, in real time, and draws each phase as its own labeled zone directly on the candles — so the market's own three-act structure is visible as it forms, instead of something you have to eyeball yourself after the fact. This is a pattern-recognition and structure-labeling tool. It identifies and visualizes market structure per the AMD model. It does not predict future price direction, it does not generate buy or sell signals, and nothing it draws should be treated as a trading recommendation. ------------------------------------------------------------ BACKGROUND — WHAT "AMD" MEANS ------------------------------------------------------------ AMD is a way of reading price action as three sequential acts: Accumulation is a period where price contracts into a range while orders build on both sides of the market. Manipulation is a deliberate-looking move beyond that range — far enough, and on enough volume, to run the stop-losses and breakout orders sitting just outside it — that then fails and closes back inside. Distribution is the real, sustained move that follows, expanding in the opposite direction of that failed move. The core idea is that the Manipulation phase exists to create liquidity: a move beyond an obvious range draws in breakout traders and triggers stops on the other side, providing the volume needed for the real directional move that follows. Whether or not you subscribe to that interpretation, the three-part sequence — range, false break, real break — is a recurring, observable structure across most liquid markets and timeframes, and this script exists to detect it mechanically and consistently rather than by eye. ------------------------------------------------------------ HOW EACH PHASE IS DETECTED ------------------------------------------------------------ ACCUMULATION is flagged by genuine volatility contraction: a fast-length ATR reading meaningfully below its own slow-length ATR baseline, averaged over a short recent window rather than judged off a single bar, combined with a minimum range width relative to current volatility. This rules out both a lone quiet tick being mistaken for real compression and micro-noise ranges being mistaken for a real base. Once contraction is confirmed, the zone locks to the highest high and lowest low of the seed window and does not move afterward. MANIPULATION is a liquidity sweep: a wick that pierces beyond the Accumulation range by a minimum distance, on volume above this specific cycle's own frozen baseline (measured from its own seed window, not a constantly-rolling average that would otherwise get distorted by the sweep's own volume spike), that closes back inside the range within a short window of bars. It does not have to reverse on the exact same bar it pierced — it is given a handful of bars to do so, since real liquidity sweeps do not always resolve instantly. The moment a sweep confirms, the script labels the zone with an Expected Direction: opposite the side that was swept, since that is what the AMD model itself defines Distribution to be. If price later sweeps the OPPOSITE side too, before the range resolves, that second sweep supersedes the first and the call flips — capped at one such re-arm, since a range swept a third time no longer looks like a clean setup. DISTRIBUTION is a confirmed break — by distance and by volume, both judged against that same frozen baseline — in the direction the Manipulation phase called. Only at that point is the cycle logged as complete. A break in the SAME direction as the earlier sweep is logged separately and honestly as "Manipulation Failed," since the expected reversal did not occur — the script does not force an incomplete or contradictory sequence into the AMD narrative just because a Manipulation event happened somewhere in the range's history. ------------------------------------------------------------ ON THE EXPECTED DIRECTION LABEL ------------------------------------------------------------ The "Expected Direction" shown on the Manipulation zone is a direct restatement of the AMD model's own definition, not an independent forecast: Distribution is, by definition, the move opposite the side that got swept. It carries no probability estimate, is not back-tested, and is not a trade instruction. It is confirmed or denied by the same real price-and-volume break logic used everywhere else in the script — nothing is assumed true until price actually does it. ------------------------------------------------------------ WHAT YOU SEE ON THE CHART ------------------------------------------------------------ Each phase is drawn as its own colored zone box with a label. The Accumulation zone appears the moment contraction confirms. The Manipulation zone appears the moment a sweep confirms, labeled with the Expected Direction. The Distribution zone appears ONLY once the break genuinely confirms in that expected direction — it is sized to the Accumulation range's own width rather than to whatever the breakout bar's own volatility happened to produce, then grows to track the real move for a limited window before freezing in place, so it always reads as a proportionate rectangle rather than an arbitrary spike or a box that keeps expanding indefinitely. A cycle that does not complete — a Manipulation that failed to lead to a real Distribution break, or a breakout with no Manipulation ever detected beforehand — is marked with a single small flag rather than a full zone box, since nothing pattern-like actually happened there. A small signal also marks the exact first candle a genuine Distribution phase begins on. An optional session-window highlight is available for traders who want to see which cycles are forming inside a specific trading session. ------------------------------------------------------------ DASHBOARD ------------------------------------------------------------ A compact corner table shows the current phase and its status, the current Expected Direction, an optional higher-timeframe bias reading (a simple moving-average slope check on a timeframe you choose, shown purely as background context and never used to filter or alter detection), and a running Follow-Through Rate. The Follow-Through Rate is a historical tally, going back to when the chart loaded, of how often this chart's own past Manipulation calls actually went on to confirm into a real Distribution break versus failing or the range simply expiring. It is not a win rate, not the result of a back-tested strategy, and not a claim about the cycle currently forming. The percentage is intentionally hidden until a minimum number of cycles have been observed, so a small handful of outcomes is never presented as a statistically meaningful rate. ------------------------------------------------------------ INPUTS ------------------------------------------------------------ A single Detection Sensitivity dial (Loose / Normal / Strict) governs every underlying threshold at once — the seed window length, the required depth of volatility contraction, the sweep depth and volume requirements, and the breakout distance and volume requirements. Loose finds more cycles at looser quality; Strict finds fewer, higher-conviction cycles only. Beyond that, every visual element can be toggled or recolored independently: the zone boxes, the phase labels, the Expected Direction label, the Distribution start signal, the Follow-Through Rate row, the higher-timeframe bias row, the session highlight, and the on-chart legend. A "completed cycles only" mode is also available, which hides everything while a cycle is still forming and only draws it — retroactively, all at once — if and when it actually completes the full sequence. ------------------------------------------------------------ CALCULATION AND REPAINT BEHAVIOR ------------------------------------------------------------ All detection logic runs exclusively on confirmed, closed bars. Nothing is decided from an intrabar wick on the currently forming candle. A sweep candidate's return window is evaluated bar by bar as it actually happens, never by looking ahead. A confirmed Manipulation call can be superseded later within the same range by the one-time re-arm described above, but only by an equally real, fully confirmed opposite-side sweep — never speculatively, and never by revising a call that has already led to a resolved outcome. Once a range resolves, or a zone's phase has finished, its boundaries are not redrawn or repainted. Higher-timeframe data is requested with lookahead explicitly disabled, so historical bars never change; only the still-forming higher-timeframe candle can naturally update until it itself closes, which is standard behavior for any multi-timeframe context reading and is not repainting in the sense of historical values changing after the fact. ------------------------------------------------------------ LIMITATIONS ------------------------------------------------------------ This script is a structure-labeling tool, not a trading system. It has no concept of risk management, position sizing, or trade execution, and it does not account for spread, slippage, commissions, or liquidity conditions specific to any individual broker or exchange. Detection quality depends heavily on the instrument, timeframe, and chosen sensitivity setting — a setting well suited to one market or timeframe may under- or over-detect on another, and some manual tuning of the sensitivity dial is expected. Past detected cycles, and the Follow-Through Rate built from them, describe what has already happened on this specific chart and are not a guarantee of how future cycles on the same chart, or on any other chart, will behave. ------------------------------------------------------------ DISCLAIMER ------------------------------------------------------------ This script detects and labels historical and current market structure per the AMD model only. Nothing it displays is a probability of future price direction, a guarantee, or a buy or sell instruction — a Manipulation event describes a liquidity sweep that has already happened, not a prediction of what comes next, and a Distribution zone is only ever drawn once the corresponding break has already confirmed. The Expected Direction label is a restatement of the pattern's own definition, not a forecast. The Follow-Through Rate is a tally of what has already happened to this chart's own past Manipulation calls, typically a modest sample size, and should not be read as a win rate or as investment advice. Trading involves substantial risk of loss and is not suitable for every investor. Nothing in this script or its description constitutes financial, investment, or trading advice, and past structure detected by this script is not indicative of future results. Use at your own discretion and risk.

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Scalp FVG zones with HTF bias filter and risk ticket === WHAT IT DOES === This indicator plots unmitigated Fair Value Gaps (FVG) as tradable scalp zones, filters them against a higher-timeframe bias, hides everything that is too far from price to be traded, and computes a complete risk ticket for the nearest valid zone. It is built for intraday scalping on liquid instruments (designed and tested on BTCUSD 5m; usable on 1m to 15m on any liquid symbol). === THE PROBLEM IT ADDRESSES === Most Smart Money Concepts indicators mark order blocks from swing pivots. A swing pivot is only confirmed N bars after it forms, so the zone appears long after the move that created it, and it is often several hundred points away from current price. That is useful as context, but it is not something a scalper with a 1x ATR stop can trade. This script takes the opposite approach: it marks the imbalance created by the

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của ladjelmourad777

Sector Rotation - Leadership Persistence [Dots3Red]🔄 SECTOR ROTATION - LEADERSHIP PERSISTENCE At any given time, some sectors are leading and others are lagging behind — traders call this rotation. This tool draws all eleven US sectors on one chart, normalized from the same starting point, so leadership and lag are visible at a glance instead of pieced together from eleven separate tabs. ✨ WHY THIS MATTERS This script adds a question that few answer: once a sector takes the lead, how long does that lead typically last before another sector overtakes it? And right now, given how long the current leader has already held the top spot, what are the odds it's still leading a bit further down the road? 📊 Avg Leadership: 14 bars (n=8) 📊 Leader Persists: 58% (n=8) That's measured directly from this chart's own rotation history — not a general rule about how sectors "should" behave. ⚙️ HOW IT WORKS 🔄 Eleven sectors, one normalized view — all eleven SPDR Select Sector ETFs (Technology, Financials, Energy, Health Care, Industrials, Discretionary, Staples, Utilities, Materials, Real Estate, Communication Services) are plotted as cumulative percentage return from a common anchor point. Every line starts at zero and diverges from there, so the spread between the best and worst performer is the actual visual story. ⚓ Anchor options — Week, Month, or Quarter. All lines reset to zero at the start of each new period. Month is the standard window for rotation analysis, since it's long enough to show a real trend without being so long that early leadership becomes irrelevant. 👑 Leadership tracking — the sector with the highest normalized return at any moment is the current leader, marked with a star in both the end-of-chart label and the dashboard legend. Every time leadership changes hands, the duration the previous leader held the top spot is recorded, building a running average across every changeover this chart has produced. 🎯 Persistence grading — separately, each new leader is checked again a set number of bars later: is it still leading? The running percentage is a direct, honest answer to "once a sector takes over, how often does that lead actually hold up," specific to this chart's own history. 📋 Ranked dashboard legend — all eleven sectors, sorted by current performance, with each one's actual line color and live return percentage. This solves a real limitation of on-chart labels at the far right edge, which can get compressed or pushed off-screen depending on how the chart is sized — the dashboard legend is always fully readable regardless of zoom or pane width. 🧭 HOW TO USE 1️⃣ Read the spread, not just the top line. A wide gap between the leader and the rest signals strong rotation conviction; a tight cluster near zero signals an indecisive, rotation-less market. 2️⃣ Check "Led Since" alongside "Avg Leadership." If the current leader has already held the top spot longer than the historical average changeover duration, that's context worth noting — not a signal to act on, but a useful piece of the picture. 3️⃣ Use the persistence percentage to calibrate expectations, not to predict. "58% (n=8)" is a real but still-developing sample; treat it with more confidence once the changeover count grows. 4️⃣ Use the ranked legend as a quick market-breadth check. Seeing whether the top of the ranking is dominated by cyclical sectors (Discretionary, Industrials, Financials) versus defensive ones (Staples, Utilities, Real Estate) is itself a useful read on broad market risk appetite. 5️⃣ Match the anchor to your own time horizon. Week for a fast, tactical view; Month for the standard rotation window; Quarter for a slower, more structural read on which sectors have been dominant over a longer stretch. 🛠️ SETTINGS ⚓ Anchoring • Rotation Anchor — Week / Month / Quarter • Leadership Check Window — how many bars ahead a new leader is graded for persistence 🖥️ Dashboard • Show/hide, position — current leader, leadership duration, average leadership length, persistence odds, changeover count, and the full ranked sector legend 📝 NOTES This tool covers the eleven US SPDR Select Sector ETFs specifically — it does not cover international markets or custom sector groupings. Leadership and persistence statistics accumulate from when the indicator is added to the chart and become more meaningful as more changeovers occur; early on, expect small sample sizes. ⚠️ DISCLAIMER This is an analytical and visualization tool. It does not generate trade signals and does not constitute financial advice. Historical leadership duration and persistence rates do not guarantee how sector rotation will behave going forward.

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Volatility Regime Volatility Regime OVERVIEW This indicator classifies the current market into one of three volatility regimes — Low, Medium, or High — and displays them in a separate panel below the price chart. Rather than measuring volatility in absolute terms, it evaluates how current volatility compares to its own recent history, so the classification adapts automatically to any instrument and timeframe without needing manual recalibration. METHODOLOGY Volatility is calculated as the standard deviation of logarithmic returns over a user-defined lookback period. That value is then compared to its own distribution over a longer historical window using a percentile rank calculation. The result is a 0-100 reading showing where current volatility stands relative to its own recent history, rather than relying on a fixed, one-size-fits-all threshold that would behave differently across instruments. COMPONENTS - Volatility Percentile Rank line: plots the 0-100 percentile reading of current volatility, colored according to the active regime. - Threshold lines: two dashed horizontal lines mark the Low and High volatility thresholds (default 33 and 66), both adjustable. - Panel background shading: the background of the indicator panel is tinted according to the active regime for quick visual reference. - Regime label: a label on the most recent bar displays the current regime as text (LOW / MEDIUM / HIGH). REGIMES - Low Volatility Regime: percentile rank at or below the low threshold. Current volatility is compressed relative to its recent history. - Medium Volatility Regime: percentile rank between the two thresholds. A transitional or average volatility state. - High Volatility Regime: percentile rank at or above the high threshold. Current volatility is expanded relative to its recent history. PURPOSE This tool adds volatility context to trading decisions rather than generating direct buy or sell signals. Market behavior tends to differ meaningfully across volatility regimes, and being aware of the active regime can help with position sizing, stop placement, and identifying which type of setups are more likely to be relevant at a given time. HOW TO USE IT - Check the current regime shown in the panel before evaluating a setup on the main chart. - Consider adjusting position size and stop-loss distance according to the active regime — wider stops and smaller size are generally more appropriate in high volatility conditions, and the opposite in low volatility conditions. - A prolonged Low Volatility Regime can indicate the market is compressing and may be approaching an expansion phase. - Volatility Length, Percentile Rank Lookback, and both threshold levels are adjustable in the settings to fit different instruments and timeframes. NOTES This indicator is a contextual tool intended to support discretionary or systematic analysis. It does not predict market direction and should be used alongside a broader trading methodology and proper risk management.

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của BullBearSR

ERL x IRL PO3 (M1D)ERL x IRL PO3 Tracks one ICT sequence from start to finish: a dealing range on a higher timeframe, one side of it raided, a market structure shift on the chart, and then the PD arrays the reversal leaves behind, counted one by one into a grade. It draws the sequence as it happens and reports where you are in it. It is not a signal generator: nothing fires, and the entry is left to you. What it does 1 · Dealing range. The range is found on a higher timeframe — 4H by default; 1H, 6H, Daily and Weekly are options — and followed at chart scope, so every level is anchored on the chart bar that actually printed it. It forms once, from the highest and lowest swings inside the lookback, and then it holds: sweeps, internal swings and lower highs inside it do not touch it. Both sides draw as soon as it exists — the buyside and sellside liquidity, each labelled as the external range liquidity it is, extending to the right edge. It rebuilds only after a close through a side, judged on the range timeframe's candles with the same allowance the sweep uses: the broken side stays in grey, marked broken; the last swing before the breaking leg becomes the new far side; and the new near side forms on price as a dotted line until the range timeframe confirms a swing there, then locks. The thirds are available as dotted lines, and the console names where price sits in them. 2 · Sweep. A wick through one side is the raid. The level belongs to the range timeframe, so the reclaim is judged there: price may close beyond the level on the chart, but not for longer than a set number of range candles, one by default. Reclaim inside that and it is a sweep; stay beyond it and it is a break. On the raid the swept side freezes as a dotted, spent line with a Sweep tag on the outside of the level — below a sellside raid, above a buyside one — and the other side is now the draw, and says so. A sweep must cross the level from inside: price sitting beyond a level after a break is never re-read as a fresh raid. An optional failed push at the far side can be required first. 3 · Market structure shift. The gate. After the sweep, the latest chart swing inside the range is the structure to break. The shift confirms on a close through it that is also back inside the swept level, and the leg from the sweep extreme to that close has to clear a displacement floor — the V — or the script keeps waiting rather than calling a grind a shift. The reference swing draws as a short solid line to the break bar, labelled MSS at the swing on its outside; it stops at the break so it is never mistaken for a level. Nothing internal is drawn before this point. An optional New York session window — RTH, the AM killzone or the PM session — restricts which shifts count; it is off by default so the whole chart can be scanned, and on for live alerts it keeps them to the session you trade. 4 · PD arrays and grade. Once the shift confirms, six candidates are counted as they form, each once: — the displacement gap, +FVG or −FVG, with its consequent encroachment; — the volume imbalance; — the suspension block, drawn with a hard border and its midline; — the inversion gap, an opposite-direction gap the leg closed through; — the breaker; — the optimal trade entry band, 0.62 to 0.79 of the leg. Absorption keeps one leg from counting twice: a suspension block replaces the gap and the imbalance of its own triplet, and a gap absorbs an imbalance on either of its seams. The OTE is measured the way it is drawn by hand: from the leg's own low or high — the extreme between just before the raid and the shift, not the sweep wick alone — to the first two-candle swing after the shift, a high the next candle does not exceed or a low it does not undercut. It fires when that swing confirms, not on a touch, and a dotted grey diagonal from the leg's start to its end shows the range being measured. By default the band stays at that first swing; a setting lets it follow higher swings until price has traded into it. The band is blackish grey, because it is a measurement rather than a directional array. The breaker uses the failed-block reading shared with the Unicorn Model and the Confluence Engine: an order block exists only where a displacement candle against the setup, with a real body, closed through the last chart swing and left a gap around it, and the block is the run of opposite-close candles immediately before it, wick to wick. It becomes the breaker only when a close passes back through it — the block fails and flips in place, the way a gap inverts. A block price never closed through is an order block and never a breaker. The grade is a count: three arrays for A, four for A+, both inputs. It rides on the draw's own label at the right edge — BSL · ERL · 15m A+ — so no grade tag sits inside price. When the setup ends, taken or retired, the draw line stops dotted and the grade moves to the target's swing, one ATR clear of the line, so it reads as history without sitting on price. An array a close trades through is removed from the chart; the count stands, because the array did form. 5 · Three assets, one draw. On NQ, ES and YM, micros included, the peers are read against the same range. The console reports whether each has taken the draw, names the laggard — the one still to move is the trade — and, when the chart is the laggard, watches for a catch-up gap on a 1H or 30m confirmation timeframe. A SMT is read on the bar it forms: when the chart sweeps a level and a peer holds its own, a solid line runs from the range swing to the sweep extreme — the chart's lower low against the peer's higher low — and the Sweep tag names the peer that held: Sweep · SMT YM. If every peer later takes its level the line is removed and the tag reverts, because the divergence failed. 6 · PO3 candle. The live candle of the range timeframe, drawn beside price as a proper candle with a hard border and wicks, offset to the right so it clears the level labels, with its open, high, low and close carried back as lines and tagged. A PO3 price that sits on a live range level merges into that level's label, so nothing stacks. Hidden when the chart is not below the range timeframe. 7 · Console. Two named columns, all in ink. Under the chart timeframe: the verdict and grade; the range and where price sits in it; the draw with its distance and the risk-to-reward from the nearest array; Sweep · MSS · OTE as three ticks. Under the two peers: the draw check; which peers have taken the draw, with any SMT; the catch-up gap when the chart lags; the last completed setup; the range candle's countdown and range. Silent rows are dropped. Visual grammar Purple marks bullish arrays, magenta bearish; liquidity, structure and text are black, and the consequent encroachment is dotted grey. A live level is solid; a spent one is dotted. Gaps fill at a light opacity you set; blocks carry a hard border. Every label sits in clear air by construction, not by luck: a level's name sits at the swing that made the level, on its outside — above a high, below a low — where nothing has traded; the Sweep tag at the raid's wick, the same way; the MSS at its reference swing; the OTE bold in the middle of its band; the live range names and every zone caption at the right edge past the last candle. The OTE band is blackish grey. Arrays price has closed through are removed, not faded, and the last five setups per direction stay on the chart as history. Method & repainting Every detection path — the range swings, the sweep and its reclaim, the shift, every array, the breaker search and the peer reads — evaluates on closed bars only. The range timeframe is followed at chart scope with no security call, so a range level is fixed to the bar that printed it and never moves. The peers and the catch-up timeframe are read from completed candles with a non-repainting call; the peers are also read on the chart timeframe, on closed bars, so a SMT resolves on the bar it forms. Swings confirm a set number of bars after they print; that is a fixed delay, not a revision. Two things update live. The console reads current price, and the PO3 candle is the forming candle of the range timeframe, rebuilt on every tick and never left as history. Settings Range timeframe, swing strength, lookback and minimum size; the reclaim allowance, sweep expiry, setup retirement and how many setups to keep; the displacement floor; the session window; the gap height floor, OTE band, breaker drawing mode and order-block body; the grade thresholds and minimum risk-to-reward; the peer cross-check and catch-up timeframe; every drawn element individually; the PO3 candle; label size, right offset and fill opacities. Eight alerts: bullish and bearish shift, grade A, grade A+, and the catch-up gap. Disclaimer This is a decision-support tool for discretionary ICT trading. It is not financial advice, and no market's past behaviour is indicative of future results.

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của mayb1dayy

Session Range & Expansion A general-purpose tool for measuring session range expansion relative to a historical baseline. The indicator tracks the high-low range of a selected trading session and compares it with the average range of previous sessions. The current environment is classified into four regimes: Compressed, Normal, Expanding, and Extreme Expansion. Session high and low levels can also be displayed directly on the chart for additional context. I designed this as a market research tool for observing changes in trading activity and identifying periods when range expansion becomes significantly different from normal conditions. It can be applied across forex, commodities, indices, and crypto markets. This indicator is intended for market research and analysis, not as a standalone trading signal.

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của vertexalgo

Zeiierman Trend Pressure (Zeiierman)█ Overview Zeiierman Trend Pressure (Zeiierman) is a multi-layer trend pressure and exhaustion oscillator designed to visualize short-term momentum, persistent trend structure, directional pressure, and exhaustion states within a normalized 0 to -100 range. Instead of relying on a single oscillator calculation, the indicator separates market behavior into three distinct components: • Z-Pulse = fast reactive pressure • Z-Trend = slower macro-weighted trend pressure • Pressure Core = broader directional pressure and regime structure Z-Pulse reacts quickly to changes in local range position, while Z-Trend blends fast, structural, and macro range measurements with a strong weighting toward the longer-term trend. The Pressure Core then evaluates candle position, candle body, wick behavior, and recent impulse to provide an additional view of directional pressure. The indicator also contains a persistent Pressure Exhaustion model. When both Z-Pulse and Z-Trend reach an extreme region, an exhaustion state can become active. Instead of disappearing immediately when either line moves slightly away from the extreme, the state uses confirmation and release logic to remain active until pressure has meaningfully weakened. Pressure Core coloring identifies the broader directional environment: • Core Bull = positive directional pressure • Core Bear = negative directional pressure • Core Neutral = mixed or insufficient directional pressure Dots show active pressure states, while triangles identify the beginning of an upper or lower pressure event. Price boxes can also be projected directly onto the chart while an exhaustion state remains active. █ How It Works ⚪ Z-Pulse Z-Pulse is the indicator's fast component. It first measures where the current close sits inside the recent price range using a Williams-style normalized range calculation. rangePosition = 100 * (close - highest) / (highest - lowest) A stochastic transformation of this fast range reading is then blended back into the original value. Z-Pulse Raw = rangePosition * 0.72 + stochasticPulse * 0.28 The result is smoothed with an EMA to create Z-Pulse. This gives the indicator a responsive line that can quickly detect changes in local market pressure while staying within the 0 to -100 oscillator range. ⚪ Z-Trend Z-Trend is designed to represent the more persistent side of market pressure. Three normalized range measurements are calculated using the Pulse Range, Trend Range, and Macro Trend lengths. These readings are combined using fixed internal weights, with the macro component receiving the largest influence. Z-Trend Target = Fast Range * 0.10 + Trend Range * 0.18 + Macro Range * 0.72 The engine then measures agreement between the three range layers and the efficiency of recent price movement. When the market is moving efficiently and the range layers agree, Z-Trend becomes more resistant to short counter-trend movements. Persistent occupation of the upper or lower oscillator region also increases the Trend Persistence effect. This makes Z-Trend slower and more stable than Z-Pulse, allowing it to represent the underlying directional structure instead of reacting to every short-term fluctuation. ⚪ Pressure Core Pressure Core measures each candle's internal structure relative to a larger price range. It combines five components: • closing location inside the range • average candle location • candle-body direction • upper versus lower wick pressure • recent five-bar price impulse pressure = closeLocation * 0.42 + meanLocation * 0.23 + bodyBias * 0.13 + wickBias * 0.12 + impulse * 0.10 A reactive pressure model and a slower regime model are then combined using the Regime Weight setting. Pressure Core = Regime Pressure * Regime Weight + Reactive Pressure * (1 - Regime Weight) This creates a third view of market pressure that is independent of the Z-Pulse / Z-Trend relationship. ⚪ Pressure Exhaustion Pressure Exhaustion begins when both Z-Pulse and Z-Trend occupy the same extreme region. upperPressure = Z-Pulse >= upperLevel and Z-Trend >= upperLevel lowerPressure = Z-Pulse <= lowerLevel and Z-Trend <= lowerLevel The state does not use a simple one-bar threshold cross. It includes entry confirmation and a separate release distance so temporary fluctuations do not immediately terminate a persistent pressure state. This creates a hysteresis effect, where entry and release conditions are intentionally different. At normal and higher sensitivity settings, both Z-Pulse and Z-Trend must move away from the extreme before the state is released. At the lowest sensitivity settings, the state is deliberately allowed to become much less stable. █ How to Use Zeiierman Trend Pressure can be used in three main ways: Trend Trading, Continuation Trading, and Reversal Trading. Z-Pulse reacts faster to short-term changes in pressure, while Z-Trend shows the slower and more persistent trend direction. Pressure Core can then be used as an additional confirmation of the broader market bias. ⚪ Trend Trading Use Z-Trend and Pressure Core to identify the main directional environment. When Z-Trend is holding in the upper half of the oscillator and Pressure Core is Bull-colored, bullish pressure is dominant. This favors looking for long setups. When Z-Trend is holding in the lower half , and Pressure Core is Bear-colored, bearish pressure is dominant. This favors looking for short setups. ⚪ Continuation Trading For continuation setups, look for temporary pullbacks within an already established trend. • Bullish Continuation Setup During a bullish trend, Z-Trend and Pressure Core should remain bullish while Z-Pulse temporarily moves lower. This shows that short-term pressure has weakened, but the broader trend structure is still intact. • Z-Trend remains bullish • Pressure Core remains Bull-colored • Z-Pulse drops lower during the price pullback • Z-Pulse then turns higher again • Price begins continuing in the direction of the broader bullish trend • Bearish Continuation Setup During a bearish trend, Z-Trend and Pressure Core should remain bearish while Z-Pulse temporarily moves higher. This shows that short-term pressure has strengthened against the trend, but the broader bearish structure is still intact. • Z-Trend remains bearish • Pressure Core remains Bear-colored • Z-Pulse temporarily pushes higher during a price bounce • Z-Pulse then turns lower again • Price begins continuing in the direction of the broader bearish trend The important distinction is that Z-Pulse is allowed to move against the trend temporarily. That is the pullback. As long as Z-Trend and Pressure Core remain aligned with the broader direction, the move can be treated as a potential continuation setup rather than a full trend reversal. ⚪ Reversal Trading The pressure boxes highlight areas where the market has remained under extreme directional pressure for a period of time. The box itself shows the price range formed while the pressure state is active. The triangle at the end of the box marks the Pressure Release, which is the important confirmation for a potential reversal. • Bullish Reversal A blue box forms when Z-Pulse and Z-Trend remain under strong downside pressure. While the box is active, bearish pressure is still present, so the box alone is not a buy signal. When the blue triangle appears, the Lower Pressure state has been released. This shows that downside pressure is weakening and can mark a potential bullish reversal area. • Blue Box = downside pressure is active • Blue Triangle = downside pressure has released • Bearish Reversal A red box forms when Z-Pulse and Z-Trend remain under strong upside pressure. While the box is active, bullish pressure is still present, so the box alone is not a sell signal. When the red triangle appears, the Upper Pressure state has been released. This shows that upside pressure is weakening and can mark a potential bearish reversal area. • Red Box = upside pressure is active • Red Triangle = upside pressure has released The key idea is to wait for the pressure release rather than trying to predict the reversal while the box is still developing. █ Settings Pulse Range: Controls the primary range window used by Z-Pulse. Pulse Stochastic: Controls the stochastic transformation applied to the fast range reading. Pulse Smoothing: Controls EMA smoothing of Z-Pulse. Higher values create a smoother and slower response. Trend Range: Controls the medium-term structural range used by Z-Trend. Macro Trend: Controls the longest range component used by Z-Trend. This component has the largest internal weighting. Trend Smoothing: Controls the final smoothing of Z-Trend. Trend Persistence: Controls how strongly persistent occupation of an extreme region influences Z-Trend. Exhaustion Zone: Controls the base location of the upper and lower pressure regions. Sensitivity: Controls exhaustion selectivity, confirmation, release distance, and state persistence. Lower values are looser and more inconsistent, while higher values are stricter and more persistent. Reactive Smoothing: Controls smoothing of the reactive component inside Pressure Core. Regime Weight: Controls how much influence the slower Pressure Core regime receives relative to reactive pressure. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.

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của Zeiierman

Quarter Vertical Start Lines - New York Quarter Start Lines — New York Time A clean TradingView indicator designed to mark the beginning of each calendar quarter according to New York time. It automatically plots a vertical line at: Q1: January 1 Q2: April 1 Q3: July 1 Q4: October 1 The indicator uses America/New_York timezone and automatically accounts for EST/EDT daylight-saving changes. No labels, signals, or horizontal lines — just clean vertical quarter separators for analyzing price cycles, seasonality, quarterly behavior, Gann/time studies, and market structure.

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của AlphaLadyTrader

STOC - Super Cycle Price Structure v2.0 STOC – Super Cycle Price Structure | Initial Release STOC – Super Cycle Price Structure combines trend alignment, rolling support and resistance, volatility contraction, and price-action signals in a single chart overlay. It helps traders study developing trends, identify potential breakout and pullback setups, and monitor weakening price structure. Trend Structure • Customizable 21-period Fast EMA and 50-period Base EMA. • Customizable 150-period and 200-period SMAs. • Trend cloud and background shading for market context: - Green: Price above the Base EMA, with the Base EMA above the 150 SMA, the 150 SMA above the 200 SMA, and the 200 SMA rising versus 20 bars earlier. - Yellow: Price and the Base EMA above the 200 SMA, without full bullish alignment. - Red: Conditions outside the two bullish classifications. This does not independently confirm a downtrend. Support, Resistance and Setup Detection • R1: Highest high over the resistance lookback, excluding the current candle. • S1: Lowest low over the support lookback, excluding the current candle. • Configurable base-depth and ATR-contraction thresholds. • Optional breakout volume confirmation, using volume relative to its 50-period average. Signal Guide • BO — Breakout: Price crosses above rolling resistance while the full bullish trend filter is active. The optional relative-volume filter applies when enabled. • PB — Pullback: Price touches or moves below the Fast EMA, then closes above it with a bullish candle while the full bullish trend filter remains active. • Orange Dot — Contraction Begins: Marks the start of a qualifying volatility-contraction condition within the configured base-depth limit, with price above the 200 SMA. • X — Trend Exit: Price crosses below the Base EMA, highlighting potential trend weakness. The contraction marker is a simplified volatility-contraction screen; it does not verify a complete multi-swing VCP pattern. Breakout signals do not require a preceding contraction marker. Customization and Alerts Toggle moving averages, trend cloud, background shading, support/resistance, and signal markers. Adjust lookback periods, contraction sensitivity, base-depth limits, and breakout-volume requirements. Separate alert conditions are available for breakouts, pullbacks, and Base EMA exits. Optional percentage reference bands are calculated from the previous chart candle’s close. They are illustrative levels, not exchange-defined circuit limits. Usage Notes All lengths refer to bars on the selected chart timeframe. Signals can change while the current candle is forming; use Once Per Bar Close when configuring alerts for closing-bar evaluation. Pullback signals may repeat and exit markers are independent of previous entry signals. Disclaimer: For educational and informational purposes only. This indicator does not guarantee profitable outcomes or constitute investment advice. Apply independent analysis, position sizing, and risk management.

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của BoobeshDasarath93

Supertrend + Fibonacci OTE Grid & Bands [BigBeluga]🔵 OVERVIEW The Supertrend + Fibonacci OTE Grid & Bands is an advanced technical analysis indicator designed by BigBeluga to combine trend-following Supertrend mechanics with dynamic Fibonacci retracement grids and volatility-based channel bands directly on the chart. Traditional Supertrend systems rely solely on stop lines, often missing optimal retracement zones (OTE) during trend pullbacks. To solve this limitation, this script integrates dual operating modes—anchored OTE grids that project Fibonacci levels across active trend swings, and continuous Fibonacci channel bands scaled by Average True Range (ATR). The indicator visualizes trend direction, dynamic stop losses, shaded OTE zones, and proximity-highlighted grid levels. The core calculations track trend swings using customizable ATR lookbacks, compute proportional Fibonacci levels (0.0 to 1.0), and dynamically adjust line widths and colors when price approaches specific thresholds. Custom color palettes, bar/candle color toggles, and label configurations allow traders to fine-tune visual settings across various timeframes and asset classes. 🔵 HOW IT WORKS The system operates through an integrated architecture where each component dynamically influences chart behavior: 1 — Supertrend Trend & Swing Engine Stop Loss Line & Fills: Computes volatility-scaled Supertrend lines using ATR parameters, plotting colored stop-loss streams with gradient area fills. Trend Extreme Tracking: Automatically tracks trend highs and lows upon trend direction flips to anchor structural Fibonacci calculations. 2 — Dual Fibonacci Modes (OTE Grid & Bands) OTE Grid Mode: Projects an anchored Fibonacci retracement grid (0.0, 0.236, 0.382, 0.500, 0.618, 0.705, 0.786, 1.000) across the active trend swing, complete with a shaded Optimal Trade Entry (OTE) zone between the 0.618 and 0.786 levels. Fibonacci Bands Mode: Plots continuous, ATR-scaled channel bands extending outward from the Supertrend line using proportional ratio offsets. 3 — Proximity Highlight & Styling Engine Price Proximity Detection: Measures distance between price and individual grid levels using ATR multipliers to dynamically highlight active levels with distinct colors and thicker line widths. Visual Customization: Supports bar and custom candle coloring by trend, adjustable line styles (Solid, Dotted, Dashed), and dynamic right-edge price labels. 🔵 HOW TO USE Apart from serving as a comprehensive trend and retracement mapping tool, the indicator can be applied in several ways: Follow Trend Momentum: Stay aligned with prevailing market direction by monitoring the Supertrend line color and trend-colored candles/bars. Identify OTE Retracement Zones: In OTE Grid mode, monitor the shaded zone between the 0.618 and 0.786 Fibonacci levels for potential trend continuation entries during pullbacks. Track Key Level Interactions: Watch for automatic color highlights and width changes on grid levels as price approaches critical Fibonacci thresholds. 🔵 SETTINGS The indicator includes several customizable configuration groups to tailor calculations and visual styling to your trading style: General Settings: Select between OTE Grid and Fibonacci Bands modes, toggle right-edge price/ratio labels, choose grid line styles (Solid, Dotted, Dashed), adjust grid highlight distance thresholds via ATR multipliers, and enable dimming for non-OTE levels. Supertrend Parameters: Configure the ATR Period and Multiplier to adjust the sensitivity and distance of the core stop-loss line. Fibonacci Bands Parameters: Define the ATR period and outer band multiplier specifically used when operating in Fibonacci Bands mode. Main Styling & Colors: Set bullish and active price highlight colors, and toggle bar/candle coloring based on the active trend direction. Fibonacci Level Settings: Enable or disable individual Fibonacci ratios (0.000, 0.236, 0.382, 0.500, 0.618, 0.705, 0.786, 1.000) and customize their individual display colors. 🔵 NOTES Why this implementation is unique: It merges classic Supertrend stop mechanics with both anchored OTE grids and continuous Fibonacci channel bands. Features dynamic price proximity highlighting and custom linefill engines optimized for Pine Script version 6. Provides extensive modular inputs for styling, level visibility, and operational mode switching.

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của BigBeluga

Position Size Calculator Position Size Calculator Computes quantity, position value, and risk-reward directly on the chart, checked against multiple stop-loss methods simultaneously. No manual calculation, no spreadsheet. How it works Enter account size and risk per trade. For each stop-loss method enabled, the table displays shares to buy or sell, capital required and percentage of account, recalculated on every tick. Up to four stop definitions can be compared side by side: 1) Current Day Low/High: calculated from the current session 2) Previous Day Low/High: calculated from the prior session 3) Fixed Price: a manually set stop 4) Fixed %: a stop set as a distance from entry Comparing columns shows how tightening or widening a stop changes position size for the same risk amount. Features 1) Live table, recalculates every tick 2) Risk mode: percent of account or fixed currency amount 3) Long and short supported; stop logic adjusts automatically by direction 4) Optional target price adds R:R per stop column 5) Fixed Price and Fixed % toggle independently 6) Quantities floored to whole shares 7) Table position, text size, colors and borders are configurable Setup 1) Enter account value, select risk mode (percent or fixed amount), and set the risk value. 2) Select Long or Short. Optionally enable a target price to compute R:R. 3) Enable Fixed Stop Price and/or Fixed Stop % as needed. Current Day and Previous Day stops calculate automatically. 4) Read the table: each active column shows stop price, quantity, position size, percent of account, and R:R (if a target is set). An info banner above the table shows live entry price, direction, and target for reference. Notes - Entry price is always the live price. This is a real-time sizing tool, not a backtesting tool. - Current Day and Previous Day stops require the chart timeframe to be Daily or lower. A warning appears in the banner if the timeframe is coarser. - Quantity shows "n/a" when a stop is on the wrong side of entry for the selected direction, or when risk-per-share cannot be computed. Disclaimer This tool performs position-sizing calculations only. It does not predict price movement, generate trade signals, or constitute financial advice. Perform independent due diligence before entering any trade.

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của sayujraghave0102

DNSE VN301!, BB-SMA Trend Following "Bollinger Bands Breakout with SMA Trend Filter" is a volatility-based trend-following strategy designed to capture strong directional price movements when price breaks beyond its recent volatility range. The strategy uses Bollinger Bands with a default SMA(20) basis and 2.0 standard deviations to identify bullish breakouts above the upper band and bearish breakouts below the lower band. To improve signal quality, the strategy combines Bollinger Band breakouts with a mandatory SMA(200) trend filter, allowing Long trades only when the SMA is rising and Short trades only when it is falling. By combining volatility expansion with broader trend confirmation, the strategy seeks to reduce counter-trend and false breakout signals while participating in stronger intraday movements. It also includes configurable stop loss, take profit, trading session, trade direction, and automatic end-of-session position closure for disciplined risk management. Strategy settings and configuration: Chart timeframe: recommended 5-minute chart Position size: 3 contracts Bollinger Bands length: 20 Bollinger Bands multiplier: 2.0 SMA length: 200 Stop loss: 10 points Take profit: 20 points SMA trend filter: always enabled Take profit: On / Off Time filter: On / Off Trading session: 09:00 – 14:30 Trade direction: Long / Short / Both Default script settings: The strategy calculates Bollinger Bands using the SMA(20) of the closing price. The upper and lower bands are created by adding or subtracting two standard deviations around the middle line. When the closing price breaks above the upper Bollinger Band, buying pressure may be taking control. When the closing price breaks below the lower Bollinger Band, selling pressure may be taking control. SMA(200) is used as the main trend filter. When SMA(200) is rising, the script only allows Long trades. When SMA(200) is falling, the script only allows Short trades. In CNPS 04, the SMA(200) filter is always enabled. This helps the bot filter out breakout signals that go against the longer-term trend. Users can add the built-in Bollinger Bands indicator on TradingView with Length 20 and Multiplier 2.0 to visually monitor the signal on the price chart. Entry and exit rules: Long entry: Closing price > upper Bollinger Band AND SMA(200) is rising AND the signal appears during the trading session AND trade direction allows Long entries Long exit: Stop loss: 10 points from entry price Take profit: 20 points from entry price, if enabled Opposite breakout signal appears Reversal when a valid Short signal appears Automatic position close at the end of the trading session Short entry: Closing price < lower Bollinger Band AND SMA(200) is falling AND the signal appears during the trading session AND trade direction allows Short entries Short exit: Stop loss: 10 points from entry price Take profit: 20 points from entry price, if enabled Opposite breakout signal appears Reversal when a valid Long signal appears Automatic position close at the end of the trading session Risk disclaimer: Futures trading involves a high level of risk and prices can move sharply. This script is provided for reference, research, and backtesting purposes only. Users should fully understand derivatives trading, their own risk tolerance, and the strategy logic before applying it to live trading. All investment decisions are the responsibility of the user. phaisinh.online is not responsible for any losses arising from the use of this strategy in real trading. Past performance does not guarantee future results. _________________________________________________________________ "Bollinger Bands Breakout với Bộ lọc Xu hướng SMA" là một chiến lược giao dịch theo xu hướng dựa trên biến động, được thiết kế nhằm nắm bắt các chuyển động giá mạnh theo một hướng khi giá phá vỡ khỏi vùng biến động gần nhất. Chiến lược sử dụng Bollinger Bands với đường cơ sở mặc định là SMA(20) và 2,0 độ lệch chuẩn để xác định tín hiệu bứt phá tăng khi giá vượt lên trên dải trên và tín hiệu bứt phá giảm khi giá xuống dưới dải dưới. Để nâng cao chất lượng tín hiệu, chiến lược kết hợp tín hiệu bứt phá Bollinger Bands với bộ lọc xu hướng SMA(200) bắt buộc, chỉ cho phép giao dịch Long khi SMA đang dốc lên và giao dịch Short khi SMA đang dốc xuống. Bằng cách kết hợp sự mở rộng của biến động với xác nhận xu hướng tổng thể, chiến lược hướng tới việc giảm thiểu các tín hiệu giao dịch ngược xu hướng và các tín hiệu phá vỡ giả, đồng thời tận dụng các chuyển động intraday mạnh hơn. Chiến lược cũng bao gồm các tùy chọn Stop Loss, Take Profit, khung thời gian giao dịch, hướng giao dịch và cơ chế tự động đóng vị thế khi kết thúc phiên, nhằm đảm bảo quản trị rủi ro một cách chặt chẽ và có kỷ luật. Cài đặt & cấu hình chiến lược: Biểu đồ: khuyến nghị khung 5 phút Khối lượng giao dịch: 3 hợp đồng Chu kỳ Bollinger Bands: 20 Hệ số nhân Bollinger Bands: 2.0 Chu kỳ SMA: 200 Cắt lỗ: 10 điểm Chốt lời: 20 điểm Bộ lọc xu hướng SMA: luôn bật Dùng chốt lời: Bật / Tắt Bộ lọc giờ: Bật / Tắt Khung giờ giao dịch: 09:00 – 14:30 Chiều giao dịch: Mua / Bán / Cả hai Cài đặt mặc định của script: Chiến lược tính toán Bollinger Bands dựa trên đường SMA(20) của giá đóng cửa. Dải trên và dải dưới được tạo bằng cách cộng hoặc trừ hai độ lệch chuẩn quanh đường giữa. Khi giá đóng cửa vượt lên trên dải trên Bollinger Bands, lực mua có thể đang chiếm ưu thế. Khi giá đóng cửa phá xuống dưới dải dưới Bollinger Bands, lực bán có thể đang chiếm ưu thế. SMA(200) được dùng làm bộ lọc xu hướng chính. Khi SMA(200) dốc lên, script chỉ cho phép lệnh Mua. Khi SMA(200) dốc xuống, script chỉ cho phép lệnh Bán. Trong CNPS 04, bộ lọc SMA(200) luôn bật. Điều này giúp bot loại bỏ bớt các tín hiệu breakout đi ngược xu hướng dài hạn. Người dùng có thể thêm chỉ báo Bollinger Bands có sẵn trên TradingView với tham số Length 20 và Multiplier 2.0 để quan sát tín hiệu trực quan trên biểu đồ giá. Điều kiện vào và thoát lệnh: Vào lệnh Mua: Giá đóng cửa > dải trên Bollinger Bands VÀ SMA(200) dốc lên VÀ tín hiệu xuất hiện trong khung giờ giao dịch VÀ chiều giao dịch cho phép lệnh Mua Thoát lệnh Mua: Cắt lỗ: 10 điểm từ giá vào lệnh Chốt lời: 20 điểm từ giá vào lệnh, nếu bật Có tín hiệu breakout ngược chiều Đảo chiều khi xuất hiện tín hiệu Bán hợp lệ Tự động đóng lệnh khi hết khung giờ giao dịch Vào lệnh Bán: Giá đóng cửa < dải dưới Bollinger Bands VÀ SMA(200) dốc xuống VÀ tín hiệu xuất hiện trong khung giờ giao dịch VÀ chiều giao dịch cho phép lệnh Bán Thoát lệnh Bán: Cắt lỗ: 10 điểm từ giá vào lệnh Chốt lời: 20 điểm từ giá vào lệnh, nếu bật Có tín hiệu breakout ngược chiều Đảo chiều khi xuất hiện tín hiệu Mua hợp lệ Tự động đóng lệnh khi hết khung giờ giao dịch Tuyên bố rủi ro: Giao dịch hợp đồng tương lai có mức độ rủi ro cao và giá có thể biến động mạnh. Script này chỉ phục vụ mục đích tham khảo, nghiên cứu và kiểm thử. Người dùng cần hiểu rõ giao dịch phái sinh, khẩu vị rủi ro cá nhân và logic của chiến lược trước khi áp dụng vào giao dịch thực tế. Mọi quyết định đầu tư thuộc trách nhiệm của người dùng. phaisinh.online không chịu trách nhiệm cho bất kỳ khoản lỗ nào phát sinh từ việc sử dụng chiến lược này trong giao dịch thực tế. Hiệu quả trong quá khứ không đảm bảo kết quả trong tương lai.

Chiến lược

JFX Structure Fib JFX Structure Fib ENGLISH JFX Structure Fib is a multi-timeframe market-structure and automatic Fibonacci retracement framework designed for discretionary traders. It does not generate BUY/SELL signals or manage trades. Its purpose is to organize higher-timeframe directional context, confirmed chart-timeframe structure breaks, and retracement levels into one clean workflow. HOW IT WORKS 1. Adaptive bias timeframe By default, the script automatically assigns a higher bias timeframe according to the active chart timeframe. Examples include M5 -> H1 and M15 -> H4. A Custom mode is also available for users who prefer a different higher-timeframe relationship. 2. Confirmed higher-timeframe bias The bias engine reads confirmed higher-timeframe structure. An optional Structure + EMA mode can require both structural direction and EMA alignment. The higher-timeframe values are based on completed higher-timeframe bars to reduce discrepancies between historical and realtime behavior. 3. Valid chart-timeframe BOS The script displays only BOS events that meet its structural rules. A valid BOS requires a confirmed close through a confirmed swing that has not already been counted as broken, alignment with the active higher-timeframe bias, and a valid opposite structural swing after the broken swing to serve as the impulse origin. 4. BOS-origin impulse tracking After a valid BOS, the script tracks the continuing impulse rather than fixing the Fibonacci endpoint immediately. The impulse extreme remains dynamic until price produces the configured confirmed retracement. This reduces arbitrary Fibonacci anchoring while an impulse is still extending. 5. Automatic Fibonacci lock When the retracement threshold is confirmed, the impulse is locked and the script plots four configurable Fibonacci retracement levels. Defaults are 0.618, 0.705, 0.790, and 0.886. The chart displays ratio values only, without prices. 6. Fibonacci history Completed or superseded Fibonacci structures can be retained as bounded historical references. Users can choose how many recent Fibonacci structures remain visible. Historical levels are visually muted so the active structure remains easy to identify. 7. Compact dashboard The dashboard summarizes the chart-to-bias timeframe mapping, confirmed higher-timeframe bias, current structural direction, Fibonacci state, and retained Fibonacci history. HOW TO USE IT - Apply the indicator to the timeframe on which you want to analyze structure. - Leave Bias timeframe mode on Auto for the default multi-timeframe mapping, or select Custom if your framework uses a different higher timeframe. - A bullish or bearish BOS is displayed only when the script's validity conditions are satisfied. - After the post-BOS impulse retraces by the configured lock threshold, the Fibonacci structure becomes fixed and its retracement levels are displayed. - Use the Fibonacci levels as location/context within your own trading plan. The script intentionally does not define entries, stop losses, take profits, or expected performance. KEY SETTINGS - Bias timeframe mode: Auto or Custom. - Bias method: Structure or Structure + EMA. - Bias and chart-structure pivot sensitivity. - Use newest valid BOS: allows a newer valid BOS to supersede the current structure. - Structure invalidation: close or wick beyond the impulse origin. - Fibonacci lock retracement. - Four customizable Fibonacci ratios. - Optional minimum impulse size measured in ATR. - Fibonacci history count. - Optional bias/chart swing reference levels. - BOS, Fibonacci, dashboard, and alert visibility controls. ORIGINALITY AND PROTECTED-SOURCE RATIONALE BOS, market structure, and Fibonacci retracement are established concepts and are not claimed as original inventions. The original contribution of this script is the specific workflow and implementation that connects adaptive higher-timeframe bias, valid BOS filtering, post-break structural-origin selection, dynamic impulse tracking, confirmed retracement locking, bounded Fibonacci lifecycle/history, and a chart-focused visual state model. The source is protected to preserve this implementation while allowing the community to use the indicator freely. LIMITATIONS - Confirmed pivots require right-side bars before a swing is known. This means structure detection intentionally has confirmation delay. - The higher-timeframe bias uses completed higher-timeframe information, so it will react more slowly than an indicator using an unfinished higher-timeframe candle. - The automatic timeframe mapping is a practical default, not a universal rule. Different instruments or trading plans may require Custom mode. - BOS validity depends on the selected pivot sensitivities. Very low settings can identify more minor structure; higher settings can identify fewer but broader swings. - Fibonacci levels describe retracement location only. They do not establish that price will reverse from a level. - The script does not calculate trade entries, stop losses, take profits, win rate, profit factor, or profitability. - A newer valid BOS can replace the active structure when that option is enabled. - Market behavior varies by instrument, timeframe, volatility regime, session, data feed, and execution environment. Use the indicator as an analytical framework and validate its behavior on the instruments and timeframes relevant to your own process before relying on it for live decisions. BAHASA INDONESIA JFX Structure Fib adalah framework market structure multi-timeframe dan automatic Fibonacci retracement untuk discretionary trader. Indikator ini tidak memberikan sinyal BUY/SELL dan tidak mengatur posisi trading. Tujuannya adalah menyusun higher-timeframe bias, valid chart-timeframe BOS, dan retracement Fibonacci dalam satu workflow yang bersih dan mudah dibaca. CARA KERJA 1. Adaptive bias timeframe Secara default indikator memilih bias timeframe yang lebih tinggi berdasarkan timeframe chart aktif. Contohnya M5 -> H1 dan M15 -> H4. Mode Custom tetap tersedia jika pengguna ingin menggunakan hubungan timeframe yang berbeda. 2. Confirmed higher-timeframe bias Bias membaca structure dari higher timeframe yang sudah confirmed. Mode Structure + EMA dapat digunakan untuk meminta alignment tambahan dari EMA. Data higher timeframe berasal dari candle yang sudah selesai agar perilaku historical dan realtime lebih konsisten. 3. Valid chart-timeframe BOS Indikator hanya menampilkan BOS yang memenuhi aturan structure. BOS harus terjadi melalui confirmed close pada confirmed swing yang belum pernah dihitung sebagai broken, searah dengan higher-timeframe bias, serta memiliki opposite structural swing yang valid setelah swing yang di-break untuk menjadi origin impulse. 4. BOS-origin impulse tracking Setelah valid BOS, indikator tetap mengikuti extreme impulse selama impulse masih berkembang. Endpoint Fibonacci belum langsung dikunci. Extreme baru dikunci setelah terjadi confirmed retracement sesuai threshold yang dipilih. 5. Automatic Fibonacci lock Setelah retracement threshold terkonfirmasi, Fibonacci dikunci dan empat retracement level ditampilkan. Default: 0.618, 0.705, 0.790, dan 0.886. Chart hanya menampilkan angka ratio Fibonacci tanpa harga. 6. Fibonacci history Fibonacci yang telah selesai atau digantikan dapat disimpan sebagai historical reference. Jumlah history dapat diatur oleh pengguna dan tampilannya dibuat lebih redup daripada Fibonacci aktif. 7. Compact dashboard Dashboard menampilkan mapping chart timeframe ke bias timeframe, confirmed HTF bias, current structure, status Fibonacci, dan jumlah history yang sedang disimpan. PENGGUNAAN - Pasang indikator pada timeframe yang ingin digunakan untuk membaca structure. - Gunakan Auto untuk mapping timeframe default, atau Custom jika menggunakan framework multi-timeframe sendiri. - BOS bullish/bearish hanya muncul jika seluruh aturan validasinya terpenuhi. - Setelah impulse pasca-BOS mengalami retracement sesuai threshold, Fibonacci dikunci dan level retracement ditampilkan. - Gunakan Fibonacci sebagai area location/context dalam trading plan Anda sendiri. Indikator sengaja tidak menentukan entry, stop loss, take profit, atau ekspektasi hasil trading. ORIGINALITAS DAN ALASAN SOURCE DILINDUNGI BOS, market structure, dan Fibonacci retracement merupakan konsep yang sudah umum dan tidak diklaim sebagai penemuan baru. Nilai original script ini terletak pada workflow dan implementasinya: adaptive HTF bias, valid BOS filtering, pemilihan structural origin setelah break, dynamic impulse tracking, confirmed retracement lock, bounded Fibonacci history, serta visual state yang dibangun menjadi satu framework. Source dilindungi untuk menjaga implementasi tersebut sementara indikator tetap dapat digunakan gratis oleh komunitas. KETERBATASAN - Confirmed pivot membutuhkan sejumlah candle di sisi kanan sehingga swing diketahui dengan delay yang disengaja. - Bias HTF menggunakan candle HTF yang sudah selesai sehingga lebih lambat dibandingkan metode yang membaca unfinished HTF candle. - Auto timeframe mapping adalah default praktis dan bukan aturan universal. - Sensitivitas BOS tergantung pada pivot settings yang digunakan. - Fibonacci hanya menunjukkan lokasi retracement dan tidak menjamin reversal. - Indikator tidak menghitung entry, SL, TP, win rate, Profit Factor, atau profitabilitas. - Valid BOS yang lebih baru dapat menggantikan active structure jika opsi tersebut diaktifkan. - Hasil visual dan perilaku structure dapat berbeda menurut instrument, timeframe, volatility regime, session, dan data feed. Gunakan indikator sebagai analytical framework dan lakukan validasi pada instrument serta timeframe yang sesuai dengan proses trading Anda sebelum menggunakannya dalam keputusan live.

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của JustIqbal8

Yetty FVG Pro YETTY FVG PRO Yetty FVG Pro is a clean fair value gap and inversion fair value gap indicator designed to display the most recent imbalance zones without filling the chart with old or irrelevant boxes. The indicator identifies confirmed three-candle fair value gaps on the chart’s current timeframe and monitors those zones for a potential inversion. Traders can independently control how many FVG and IFVG zones remain visible. The default display shows: • One recent active FVG • Three recent IFVG zones • Bullish FVGs in green • Bearish FVGs in red • Bullish IFVGs in aqua • Bearish IFVGs in fuchsia WHAT IS A FAIR VALUE GAP? A fair value gap, or FVG, is a three-candle price imbalance created when the first and third candles do not overlap completely. This can occur when price moves rapidly through an area without balanced two-sided trading. The untraded area between the first and third candles becomes the fair value gap. These zones may later act as areas of interest when price returns. BULLISH FAIR VALUE GAP A bullish FVG forms when: 1. Price moves sharply upward. 2. The low of the third candle is above the high of the first candle. 3. A visible gap remains between those two prices. 4. The completed zone meets the selected minimum-size requirement. Bullish FVGs are displayed in green by default. A bullish FVG can represent an area where price moved upward with strong displacement. Traders may monitor the zone for a reaction, support, continuation or failure. BEARISH FAIR VALUE GAP A bearish FVG forms when: 1. Price moves sharply downward. 2. The high of the third candle is below the low of the first candle. 3. A visible gap remains between those two prices. 4. The completed zone meets the selected minimum-size requirement. Bearish FVGs are displayed in red by default. A bearish FVG can represent an area where price moved downward with strong displacement. Traders may monitor the zone for a reaction, resistance, continuation or failure. WHAT IS AN INVERSION FAIR VALUE GAP? An inversion fair value gap, or IFVG, forms when price completely invalidates an existing FVG by closing through the opposite side of the entire zone. Instead of deleting that failed FVG, Yetty FVG Pro converts it into an IFVG. This allows traders to see where a previous imbalance failed and may have changed its directional role. BULLISH IFVG A bullish IFVG begins as a bearish FVG. It becomes a bullish IFVG when a confirmed candle closes above the top of the entire bearish FVG zone. The original bearish zone is then converted into an aqua bullish IFVG. This indicates that price has broken completely through a previous bearish imbalance. Traders may watch the converted zone for potential support if price returns. BEARISH IFVG A bearish IFVG begins as a bullish FVG. It becomes a bearish IFVG when a confirmed candle closes below the bottom of the entire bullish FVG zone. The original bullish zone is then converted into a fuchsia bearish IFVG. This indicates that price has broken completely through a previous bullish imbalance. Traders may watch the converted zone for potential resistance if price returns. HOW TO USE IT Yetty FVG Pro is designed to provide areas of interest rather than automatic trade-entry signals. Start by identifying the broader direction and structure of the market. In an upward-trending market, traders may give more attention to bullish FVGs and bullish IFVGs below or near current price. In a downward-trending market, traders may give more attention to bearish FVGs and bearish IFVGs above or near current price. When price returns to a displayed zone, observe how it reacts. Possible reactions may include: • Immediate rejection from the zone • Partial entry followed by continuation • Full traversal of the zone • Consolidation inside the zone • A complete close through the zone • Conversion from an FVG into an IFVG A zone should not automatically be treated as an entry. Evaluate the reaction alongside market structure, trend, liquidity, volume and risk. POSSIBLE BULLISH WORKFLOW 1. Establish that the larger market context is bullish. 2. Identify a recent bullish FVG or bullish IFVG. 3. Wait for price to return to the zone. 4. Look for buyers to defend the area. 5. Wait for bullish confirmation. 6. Establish an entry, stop and target using your own trading plan. Bullish confirmation might include: • A rejection wick • A bullish engulfing candle • A liquidity sweep beneath the zone • A short-term bullish structure break • Increased buying volume • Reclaiming VWAP or an important EMA POSSIBLE BEARISH WORKFLOW 1. Establish that the larger market context is bearish. 2. Identify a recent bearish FVG or bearish IFVG. 3. Wait for price to return to the zone. 4. Look for sellers to defend the area. 5. Wait for bearish confirmation. 6. Establish an entry, stop and target using your own trading plan. Bearish confirmation might include: • A rejection wick • A bearish engulfing candle • A liquidity sweep above the zone • A short-term bearish structure break • Increased selling volume • Rejection from VWAP or an important EMA USING FVGs WITH IFVGs An active FVG shows an imbalance that has not yet closed completely through its opposite boundary. An IFVG shows that the original FVG failed and inverted. This distinction can help traders separate an active imbalance from a zone where price has already demonstrated a directional change. For example: A bullish FVG may initially act as support. If price later closes below the entire bullish FVG, the zone becomes a bearish IFVG. If price returns to that converted zone from below, traders may monitor it as potential resistance. The reverse logic applies when a bearish FVG becomes a bullish IFVG. USING YETTY FVG PRO WITH OTHER TOOLS FVG and IFVG zones can become more meaningful when they align with other areas of interest, including: • Yetty ORB Pro boundaries • Yetty Liquidity Sweep Pro levels • Previous session highs or lows • Higher-timeframe support and resistance • VWAP • The 9, 21 or 200 EMA • Opening-range breakouts • Swing highs and swing lows • Supply and demand zones • Strong displacement candles Confluence does not guarantee that a zone will hold, but it can provide additional context for evaluating a reaction. CHART TIMEFRAME Yetty FVG Pro uses the chart’s current timeframe only. If the indicator is applied to a one-minute chart, it identifies one-minute FVGs and IFVGs. If it is applied to a five-minute chart, it identifies five-minute FVGs and IFVGs. If it is applied to a 15-minute chart, it identifies 15-minute FVGs and IFVGs. Changing the chart timeframe causes the indicator to calculate zones from the candles on the newly selected timeframe. Lower timeframes will generally create more zones. Higher timeframes will generally create fewer but broader zones. DISPLAY SETTINGS Show FVGs Turns the active FVG boxes on or off. Show IFVGs Turns inversion fair value gap boxes on or off. Number of FVG Zones to Show Controls how many recent active FVG zones remain visible. The available range is one through five. The default is one FVG. Number of IFVG Zones to Show Controls how many recent inversion zones remain visible. The available range is one through five. The default is three IFVGs. FVG and IFVG counts are controlled separately. For example, a trader can display one FVG while keeping three IFVGs visible. Show Box Labels Displays the directional classification inside each zone: • BULL FVG • BEAR FVG • BULL IFVG • BEAR IFVG Extend Boxes Past Pattern Controls how many additional candles each box extends beyond the completed three-candle pattern. The default extension is five bars. Box Fill Transparency Controls the transparency of all displayed zones. A higher number creates a more transparent box. The default transparency is 85. MINIMUM FVG SIZE The Minimum FVG Size setting controls the smallest imbalance that can qualify as an FVG. This value is measured in ticks and automatically uses the instrument’s minimum tick size. Increasing the minimum size filters out smaller gaps and reduces the number of displayed zones. Decreasing it makes the indicator more sensitive and allows smaller gaps to qualify. The default minimum is one tick. COLORS The default colors are: • Bullish FVG: lime green • Bearish FVG: red • Bullish IFVG: aqua • Bearish IFVG: fuchsia Every color can be customized from the indicator settings. ALERTS Yetty FVG Pro includes alert conditions for: • New bullish FVG • New bearish FVG • New bullish IFVG • New bearish IFVG To create an alert: 1. Add Yetty FVG Pro to the chart. 2. Open TradingView’s alert menu. 3. Select Yetty FVG Pro under Conditions. 4. Choose the desired FVG or IFVG event. 5. Configure the notification method and expiration. 6. Create the alert. Alerts are triggered from confirmed candle conditions. IMPORTANT NOTES Yetty FVG Pro displays price imbalances and inversion zones. It does not automatically place trades or determine entries, stop-losses, profit targets or position sizes. A fair value gap is not guaranteed to be filled. A zone is not guaranteed to produce a reversal or continuation. Price can partially enter a zone, trade completely through it or move away without returning. An IFVG appears only after a candle closes completely through the opposite side of an existing FVG. A wick through the zone without the required close does not create an inversion. Because the indicator limits how many zones remain visible, an older box may be removed when a newer qualifying zone forms. Removing the box from the chart does not mean the historical price area has ceased to exist; it means the selected display limit has been reached. The indicator evaluates patterns using completed candles. For the clearest price information, use standard candlestick charts. Non-standard chart types such as Heikin Ashi, Renko, Kagi, Line Break, Point & Figure or Range charts may calculate prices differently and can produce misleading zones. No indicator can predict future market movement or eliminate trading risk. Yetty FVG Pro should be used as an informational charting tool within a complete trading and risk-management plan. Suggested starting point: NQ or MNQ on a five-minute standard candlestick chart using the default display of one FVG and three IFVGs.

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của yettyfish2018

Elsea Heat Band & MAs Elsea Heat Band & MAs is a moving-average utility: it draws the medium-term band (also known as the Bull Market Support Band / Bear Market Resistance Band, credit: Benjamin Cowen) alongside a set of conventional daily and weekly moving averages, on a single overlay with independent toggles for each group. There is nothing novel in the calculations here. Every line is a standard SMA or EMA at a conventional length, and the cross detection is the standard 50/200 golden and death cross. The script exists to put a specific combination on one chart with consistent colouring, per-group toggles and end-of-series labels, rather than to introduce a new method. It is open-source for that reason. WHAT IT DRAWS Heat Band — a 140-day SMA and a 147-day EMA (roughly twenty and twenty-one weeks of trading days) with a shaded fill between them. Using both an SMA and an EMA at slightly offset lengths gives a band rather than a line, blending flat-window and recency weighting. Daily MAs — 50-day and 200-day SMAs, with star and skull markers where the 50 crosses the 200 in either direction. Weekly MAs — 50, 100, 200 and 300-week SMAs, computed as 350, 700, 1400 and 2100 daily bars, coloured on a single blue ramp so the ordering is readable at a glance. Labels — at the right edge of the series, each visible average is labelled with its length. HOW TO USE IT Each of the three groups toggles independently, so the script can serve as a Heat Band overlay alone, a conventional MA set alone, or all of it together. The band is medium-term structure: price above it has been above its twenty-week baseline, price below it has not. The weekly averages are long-horizon reference levels, most useful on instruments with many years of history. The 50/200 cross is included because it is widely watched, not because it is predictive — it is a lagging construction by definition, and the markers are there to locate the event on the chart rather than to endorse it. LIMITATIONS All averages are computed from daily closes regardless of chart timeframe, so they are stepped on intraday charts and update once per day. Weekly averages are approximated as multiples of seven daily bars, not calendar weeks. On instruments that do not trade seven days a week the effective calendar period is longer than the label suggests. This is intended for consistency with the daily series, but the labels are approximate. The longest average needs roughly 2100 daily bars before it produces a value. On instruments with less history it will not plot. Moving averages lag by construction, and the longer ones lag substantially. Nothing here identifies a turn as it happens. The 50/200 cross is a widely known lagging signal with no edge implied by its inclusion. This is an analysis tool. It does not predict direction and produces no buy or sell recommendations.

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của ElseaSignals

Liquidity & FVG Engine MTF [Pro]Liquidity & FVG Engine MTF OVERVIEW This tool watches price the way a discretionary ICT trader watches it: it keeps track of untouched swing highs and lows across several timeframes at once, flags the moment one of those levels actually gets taken out, and then looks for the Fair Value Gap that tends to show up right after that liquidity grab. Instead of forcing you to flip between chart timeframes to manually mark highs and lows, it does that bookkeeping for you and leaves a clean, readable map of what has been swept, what is still resting, and where price left a gap on its way through. HOW IT THINKS Every time a pivot high or low forms on any of the timeframes you enable (1H and 4H by default, with Daily, Weekly and a custom timeframe also available), the script stores it as a pending liquidity level and marks it with a dot. That level stays on the chart, untouched, until price actually interacts with it. When price takes out a level, the indicator does three things at once. It fades the dot into a swept line so you can see exactly where and when liquidity was taken. It checks the impulse that caused the sweep for a Fair Value Gap, since sweeps and gaps tend to travel together in this kind of price action. And if no gap is found immediately, it keeps watching the next several candles for a reversal gap to form, on the theory that the real move often shows up a few bars after the initial grab, not on the sweep candle itself. SESSION LIQUIDITY On top of the swing based levels, the script builds its own Asia and London session ranges directly from the UTC session hours, independent of your broker's timezone or the exchange your chart is set to. The high and low of each session become liquidity levels in their own right, and get swept and reacted to exactly like any swing high or low. MITIGATED FVGs, EXPLAINED A gap does not disappear the moment price touches it. What this indicator calls "mitigated" is simply a Fair Value Gap that has been revisited by price after it formed. The box does not vanish when that happens. It turns grey, gets tagged "Mitigated", and is kept on your chart as history rather than being deleted. The reason that matters is that a mitigated gap is not necessarily a dead gap. Some get tapped once and hold, becoming the base of the next leg. Others get tapped and sliced straight through. Keeping the grey boxes visible for a while lets you scroll back and actually see which behaviour happened at that location, instead of having the evidence erased the instant it stops being "active". You control how many of these grey boxes stay on your chart at once through the history setting, so you can keep as much or as little of that visual record as you want without cluttering the chart forever. A PRACTICAL WAY TO USE IT None of this is a signal generator that tells you to buy or sell. It is a map, and the way most people use a map like this is roughly the same three step read every time. Note which liquidity level is still sitting untouched nearby, on whichever timeframe you trust for bias. An untouched high or low is a magnet until it isn't. Wait for the sweep itself. A wick that pierces the level and a close that snaps back inside it is a very different event from a candle that just closes through and keeps going, so pay attention to which sweep mode you have configured and what actually happened on that candle. Look at what the indicator draws immediately after the sweep. A fresh, opposite direction Fair Value Gap appearing in the following bars is the classic follow through many ICT style traders look for as confirmation that the sweep was a genuine reversal event rather than the start of a continuation. From there, how a person actually structures the trade is personal. Some will look to enter on the first retracement into that fresh gap, treating its edge as an entry zone with a stop beyond the sweep wick. Others prefer to wait for a shift in short term structure after the gap forms before committing, using the gap as confluence rather than as the trigger itself. Either way, the mitigated gap history is useful here too, since it lets you go back and study how price has behaved around similar gaps at similar levels earlier in the session, which is a quick way to build a feel for whether the pair or symbol you're trading tends to respect these zones cleanly or chop through them. Treat every level and every gap as one piece of evidence, not a standalone signal. The most convincing setups tend to be where a session liquidity sweep, a higher timeframe level, and a fresh FVG all line up in the same place at the same time, rather than any single one of them appearing in isolation. SETTINGS AT A GLANCE Pivot Left and Right Bars control how sensitive swing detection is. Lower values catch more, smaller swings. Merge Tolerance lets nearby levels from different timeframes combine into a single label instead of stacking duplicate dots on top of each other. Sweep Detection Mode switches between a strict wick and close ICT style sweep, or a looser touch based definition. Up to five independent timeframes can be enabled for swing liquidity, each with its own colour and label. Asia and London session ranges can be toggled on or off independently, with their own colours. The FVG engine has its own ATR based minimum and maximum size filters, so you can exclude gaps that are too small to matter or too large to be realistic entries. Visual and memory settings let you cap how many active levels, historical swept lines, and mitigated FVGs stay on the chart at once, keeping things readable on lower timeframes over long sessions. ALERTS Two alert conditions are built in. One fires the moment any liquidity level is swept. The other fires when a Fair Value Gap forms following a sweep. Both can be wired into TradingView's standard alert system so you do not have to watch the chart tick by tick. A NOTE ON RISK This script is a decision support tool, not a trading signal or a promise of future performance. It plots historical and current price behaviour so you can build and test your own approach around it. Always use proper risk management and position sizing, and treat any strategy built around it as something to validate on your own before trading it with real capital. Nothing in this description or in the indicator constitutes financial advice.

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của recturkfx

QC Radar - Multi-Timeframe Price Action [QuantCrawler]Track more. Display less. QC Radar combines supply/demand origin zones, market structure, and fair value gaps across multiple timeframes with a proximity dashboard designed to keep the chart readable. Instead of displaying every tracked zone at once, Radar prioritizes areas near current price. More distant areas continue updating in the background and become eligible for display as price approaches. What makes Radar different? Radar separates tracking from display. An area can remain active without occupying chart space. The dashboard shows nearby zones, their exact ranges, distance from price, proximity status, and whether they are currently drawn or hidden. This lets you follow higher-timeframe context while keeping your execution chart focused. Main features Multi-timeframe tracking Use the chart timeframe plus two configurable higher-timeframe layers. Each layer can independently display structure/origin zones, FVGs, or both. For example, track 15-minute and hourly areas while viewing a 1-minute or 5-minute chart. Local and major structure Two swing scales identify confirmed structure events: • Break: a close beyond a confirmed swing that continues—or initially establishes—the structure direction. • Shift: a structure break in the opposite direction. Badges identify the timeframe and swing scale. Optional spacing and connectors help separate overlapping annotations. Candle-anchored supply and demand Following a confirmed structure break, Radar searches for the nearest qualifying opposite-direction candle within its search window. Demand zones use that candle’s low through its upper body edge. Supply zones use its lower body edge through its high. These are mechanically defined potential reaction areas, not measurements of resting institutional orders. Fair value gaps Radar identifies three-candle true fair value gaps: • Bullish: the third candle’s low is above the first candle’s high. • Bearish: the third candle’s high is below the first candle’s low. Boundaries use those exact candle prices. Optional tick-size and ATR filters exclude smaller gaps without changing their dimensions. FVGs can retire on first touch, midpoint reached, or full fill, evaluated using later completed candles on their own timeframe. Proximity dashboard Distances are measured to the nearest zone edge, with zero distance while price is inside. Statuses include: • INSIDE • CLOSE • NEAR • WATCH Choose points, percentage, or chart ATR as the distance unit. Chart visibility and dashboard range have separate controls, alongside a combined chart-zone limit. Relative volume Optional origin-volume labels compare the originating candle’s volume with the average of its preceding 20 source-timeframe candles. A reading of 0.82x means volume was 18% below that average. This is not buy/sell delta or accumulated zone volume. Getting started The default setup enables chart-timeframe and 15-minute tracking. The second higher-timeframe slot defaults to one hour and starts disabled. Proximity defaults are: • CLOSE within 25 points • Chart areas within 75 points • Dashboard areas within 225 points • Maximum four areas drawn • Six dashboard rows Adjust these distances for your instrument and chart timeframe based on your trading preference. Dashboard size, position, and row count are in the first Inputs section. Hover-help explanations are included throughout the settings. Important behavior and limitations Radar uses confirmed candles for structure and zone lifecycle changes. Higher-timeframe updates are applied at the first chart-bar close following the completed source candle. Confirmed pivots require subsequent candles. Zones and structure lines are therefore visually anchored back to their origins after confirmation; they were not necessarily available at the timestamp where their drawing begins. Proximity readings update with price, while invalidation and FVG retirement follow their confirmed source-timeframe rules. Display limits, overlap filtering, and available history affect which areas are visible. Hidden does not mean invalidated, and the indicator does not maintain an unlimited historical archive. Use standard time-based intraday candles. Enabled higher timeframes must be higher than—and exact multiples of—the chart timeframe. QC Radar is a visual analysis tool. It does not place orders, provide guaranteed reactions, or establish profitability. Use independent analysis and risk management.

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của QuantCrawler

Adaptive Market Regime Map Adaptive Market Regime Map is a chart-overlay context tool that separates directional conditions from volatility conditions. It is designed to help traders describe the current market environment without presenting buy or sell signals. WHAT IT SHOWS The indicator organizes market context into two layers: • Directional regime: Bullish, Bearish, or Neutral • Volatility state: Compressed, Normal, or Expanding A layered corridor is plotted around an adaptive equilibrium line. Its width responds to ATR, while its color and intensity reflect the current directional regime and measured trend strength. In bullish conditions, the lower half of the corridor is emphasized as support context. In bearish conditions, the upper half is emphasized as resistance context. These areas are descriptive context zones, not fixed support or resistance levels and not trade-entry signals. HOW IT WORKS The directional engine combines: • the distance between a fast EMA and the equilibrium EMA, normalized by ATR; • the slope of the equilibrium EMA, also normalized by ATR; • path efficiency, calculated from net movement relative to total movement over the selected window. The resulting directional score is bounded and compared with the Trend Threshold to classify the market as Bullish, Bearish, or Neutral. The volatility engine compares current ATR with a moving baseline of ATR: • below the Compression Ratio: Compressed • above the Expansion Ratio: Expanding • between both thresholds: Normal The dashboard displays the current regime, normalized strength, volatility state, and the number of bars spent in the current directional regime. HOW TO USE IT Use the map as a context filter alongside your own analysis: • Bullish indicates persistent positive directional structure. • Bearish indicates persistent negative directional structure. • Neutral indicates that directional strength is below the selected threshold. • Compressed indicates volatility below its recent baseline. • Expanding indicates volatility above its recent baseline. The corridor can also provide visual context around the equilibrium line. Price moving outside the corridor does not, by itself, constitute a breakout or reversal signal. INPUTS Regime Engine • Fast Length: Period of the faster EMA used in directional separation. • Equilibrium Length: Period of the central EMA used for the corridor. • Slope Lookback: Bars used to measure the equilibrium slope. • Efficiency Length: Window used to compare net movement with total path movement. • ATR Length: ATR period used for normalization and corridor width. • Volatility Baseline: Window used for the rolling ATR baseline. • Spread Weight and Slope Weight: Relative contribution of both directional components. Classification • Trend Threshold: Minimum absolute directional score required for a bullish or bearish regime. • Compression Ratio: ATR-to-baseline ratio below which volatility is classified as compressed. • Expansion Ratio: ATR-to-baseline ratio above which volatility is classified as expanding. Regime Corridor • Inner Zone ATR and Outer Zone ATR: Width of the two corridor layers. • Show Outer Context Zone: Displays or hides the lighter outer layer. • Show Equilibrium Line: Displays or hides the central line. • Color Transition Bars: Controls how quickly a new regime color reaches full intensity. This affects presentation only. • Tint Candles By Regime and Tint Chart Background: Optional visual context, disabled by default. State Changes • Label Confirmation Bars: Number of persistent state bars required before a label is displayed. • Same-Label Minimum Distance: Minimum distance between labels of the same type. • Neutral labels are optional and disabled by default. ALERTS The script provides five alert conditions: • Market Regime Changed • Bullish Regime Started • Bearish Regime Started • Compression Started • Expansion Started Alerts are confirmed on bar close by default. Label confirmation is separate from alert timing, so the optional label delay does not delay the corresponding regime alert. REALTIME AND REPAINTING BEHAVIOR The script does not use higher-timeframe requests, future data, offsets into the future, or lookahead logic. Historical classifications are calculated from information available on each bar. On an open realtime bar, price, ATR, the corridor, and the displayed regime can change as new ticks arrive. With Confirm Alerts On Bar Close enabled, alerts trigger only after the bar is confirmed. This is the recommended setting for stable alert behavior. LIMITATIONS • This is an indicator, not a strategy or automated trading system. • It does not predict future price movement. • Bullish and bearish states are contextual classifications, not trade recommendations. • The corridor provides volatility-scaled context and does not define fixed support or resistance levels. • Results depend on symbol, timeframe, data quality, and selected parameters. • Very short history can produce a warmup state until all calculations are available. • Non-standard chart types use synthetic chart prices and may behave differently from standard OHLC charts. ORIGINALITY This script is an original implementation. Its distinctive contribution is the combination of an ATR-normalized directional engine, path-efficiency weighting, separate volatility classification, asymmetric regime-context zones, and a compact state dashboard in one causal chart overlay.

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của Horizon-Algo

Equalhigh EMA Signature Equalhigh — EMA Signature v2 ### User Manual **Equalhigh — EMA Signature v2** is an adaptive statistical support indicator designed to identify the EMA that a specific asset historically respects the most. Instead of assuming that EMA 20, 50, 100, or 200 is automatically relevant, the indicator scans a configurable range of EMA periods and determines which one has historically produced the most reliable price rebounds. The objective is to identify the asset's own **EMA Signature**. --- ## Concept Different securities often react to different moving-average periods. One stock may repeatedly rebound from EMA 21, another from EMA 34, another from EMA 57. This indicator attempts to quantify that behavior by testing many EMA candidates and ranking them according to their historical effectiveness as dynamic support. The strongest EMA is plotted directly on the chart. The second-best EMA can also be displayed. --- ## How It Works For every EMA candidate, the indicator looks for historical support tests. A valid support test requires price to approach the EMA from above and enter a tolerance zone around the EMA. Once the EMA is touched, the indicator observes the following candles and evaluates whether price produces a meaningful rebound. Each EMA is evaluated using several statistics: * Number of historical tests * Number of successful rebounds * Hit rate * Average rebound magnitude * Frequency of support breakdowns * Statistical confidence * Sample size The highest-ranked EMA becomes the current **EMA Signature**. --- # EMA Signature Score The indicator does not simply choose the EMA with the highest raw win rate. A result such as: **EMA 137: 2 successful rebounds out of 2 = 100%** should not automatically beat: **EMA 34: 23 successful rebounds out of 30 = 76.7%** The first result has too little statistical evidence. For this reason, Equalhigh — EMA Signature uses a composite score. ### Score structure * **65% — Statistical reliability** * **15% — Rebound strength** * **10% — Sample depth** * **10% — Support integrity** Statistical reliability uses a **Wilson lower confidence bound**, which penalizes very small samples. This makes the ranking significantly more robust than a simple hit-rate comparison. --- # Main Chart Elements ## Best EMA Signature The strongest historical EMA is plotted as the main highlighted line. The label displays: **EMA period** and **Signature Score** Example: > ★ EMA 34 > Score 76.8 This means EMA 34 currently has the strongest statistical support profile among all EMA periods tested. --- ## Second-Best EMA The second-highest-ranked EMA can optionally be displayed. This is useful because some securities do not have one unique support EMA, but rather a cluster of closely related EMA periods. For example: * EMA 32 * EMA 34 * EMA 38 may all rank highly. This can indicate a broader **dynamic support zone** rather than one exact mathematical line. --- # Top 5 Dashboard The dashboard ranks the five strongest EMA candidates. ### EMA EMA period being evaluated. Example: **34** means EMA 34. --- ### SCORE The Equalhigh EMA Signature Score. Higher values indicate stronger historical evidence that the EMA acts as dynamic support. A practical interpretation: | Score | Interpretation | | -------: | --------------------- | | 75+ | Very strong signature | | 65–75 | Strong | | 55–65 | Moderate | | 45–55 | Weak | | Below 45 | Low confidence | These levels should be interpreted comparatively rather than as absolute probabilities. --- ### TESTS Number of historical support interactions detected for the EMA. A larger sample generally increases confidence. An EMA with 25–40 tests is statistically much more meaningful than one with only 3–5 tests. --- ### HIT Percentage of historical EMA tests that produced the required rebound. Example: **78.6%** means that approximately 79% of detected support tests met the selected rebound criteria. --- ### AVG Average maximum rebound after successful EMA tests. Example: **+6.3%** means successful historical tests produced an average maximum rebound of approximately 6.3% during the selected evaluation window. --- ### BREAK Percentage of support tests where price clearly lost the EMA. Lower is generally better. Example: **10.7%** indicates relatively strong support integrity. --- ### BULL Historical success rate when the support test occurred during the indicator's bullish market regime. This allows the user to compare general EMA behavior with behavior during favorable market conditions. --- # Rebound Detection A support interaction is not counted simply because the candle touches the EMA. The indicator checks several conditions. ### 1. Approach from above Price must approach the EMA from above. This is important because the indicator is specifically searching for **dynamic support**, not resistance. --- ### 2. EMA touch zone Price does not need to touch the EMA perfectly. A tolerance based on ATR is used. This is more realistic than requiring exact contact because markets rarely reverse at mathematically perfect levels. --- ### 3. Support must remain valid Price is allowed to temporarily move slightly below the EMA. However, a sufficiently large close below the EMA is treated as a support failure. --- ### 4. Rebound confirmation After the EMA interaction, price must rise by the selected minimum percentage within the selected evaluation window. Example: **Minimum rebound = 3%** **Evaluation window = 10 bars** A successful test requires price to produce at least a 3% rebound during the following 10 candles. --- # Settings ## Minimum EMA Defines the shortest EMA included in the scan. Default: **10** --- ## Maximum EMA Defines the longest EMA included in the scan. Default: **250** --- ## EMA Step Controls the distance between tested EMA periods. Example: Minimum EMA = 10 Maximum EMA = 250 Step = 5 The indicator tests: 10, 15, 20, 25, 30...250 ### Recommended Use: **5** for fast exploration **2** for normal use **1** for maximum precision A Step of 1 allows unusual signatures such as: EMA 37 EMA 43 EMA 61 to be discovered. --- # Statistical Lookback Defines how much historical data is used to evaluate each EMA. Default: **750 bars** On a Daily chart, this represents roughly three years of trading history. A longer lookback provides more observations but may include outdated market behavior. A shorter lookback adapts faster to structural changes but reduces sample size. --- # EMA Touch Tolerance — ATR Defines how close price must come to the EMA to qualify as a support test. Default: **0.20 ATR** ATR-based tolerance automatically adapts to the volatility of the security. This makes the indicator more transferable between low-volatility stocks and highly volatile assets. --- # Maximum Break Tolerance — ATR Determines how far price may close below the EMA before the support is considered broken. Default: **0.35 ATR** Increasing this value allows more temporary undercuts. Decreasing it makes support validation stricter. --- # Rebound Evaluation Window Number of bars available for price to confirm a rebound. Default: **10 bars** On a Daily chart: 10 bars ≈ two trading weeks. --- # Minimum Rebound % Defines the minimum move required for an EMA interaction to be classified as successful. Default: **3%** For volatile securities, a larger requirement may be appropriate. For defensive or low-volatility securities, a smaller value may be preferable. --- # Minimum Number of Tests Defines the minimum historical sample required before an EMA can qualify for the ranking. Default: **5** Increasing this value makes the model more selective. For long historical datasets, values between **7 and 10** may provide stronger statistical confidence. --- # Touch Cooldown Prevents several consecutive candles around the same EMA from being counted as separate independent support events. Default: **5 bars** Without a cooldown, one prolonged consolidation around an EMA could artificially create many support tests. --- # Suggested Daily Settings For most liquid equities: | Setting | Suggested value | | -------------------- | --------------: | | Minimum EMA | 10 | | Maximum EMA | 250 | | EMA Step | 2 | | Statistical Lookback | 750 | | Touch Tolerance | 0.20 ATR | | Break Tolerance | 0.35 ATR | | Rebound Window | 10 bars | | Minimum Rebound | 3% | | Minimum Tests | 5 | | Cooldown | 5 bars | --- # Practical Workflow A useful workflow is to start with: **EMA 10 → 250** **Step = 5** This quickly identifies the broad area where the strongest EMA may exist. For example, the results may show: EMA 30 EMA 35 EMA 40 as the strongest group. The user can then change: **Step = 1** to perform a finer scan. The final result may reveal something such as: > EMA 34 — Score 77 This becomes the asset's current **EMA Signature**. --- # How to Use the Indicator EMA Signature should generally be treated as a **support context tool**, not as a standalone buy signal. The setup becomes more interesting when price approaches the Best EMA while other factors confirm the level. Examples include: * Rising volume on the rebound * Bullish candle structure * Relative strength improvement * Previous horizontal support * Gap support * Fair Value zone * Oversold momentum * Positive market regime * Higher-timeframe trend alignment The strongest opportunities generally occur when several independent forms of support converge around the same price level. --- # Example Suppose the indicator identifies: **EMA 36** with: * Score: 78 * Tests: 27 * Hit rate: 81% * Average rebound: +6.4% * Break rate: 11% Price then falls back toward EMA 36. This does **not** mean the stock has an 81% probability of rising. It means that, according to the historical rules selected in the indicator, EMA 36 has produced successful rebounds in approximately 81% of comparable historical interactions. The current market context still matters. --- # Why the Best EMA Can Change EMA Signature is adaptive. The best EMA may change because: * volatility changes, * market regime changes, * the stock enters a stronger trend, * institutional behavior changes, * historical observations are added, * old observations leave the lookback window. For example: EMA 50 may dominate during a slow long-term trend. Later, EMA 21 may become dominant during a strong momentum phase. This is intentional. --- # Important Statistical Considerations Historical interactions are not fully independent events. EMA periods are also highly correlated. For example: EMA 34 and EMA 35 will naturally produce similar values. Therefore, the indicator should not be interpreted as discovering a mathematically unique "perfect EMA". A group such as: EMA 32 EMA 34 EMA 36 should often be interpreted as a **support family or support zone**. --- # Limitations The indicator is based on historical price behavior. It cannot anticipate: * earnings surprises, * profit warnings, * regulatory decisions, * macroeconomic shocks, * geopolitical events, * takeover announcements, * major fundamental changes. A historically strong EMA can fail abruptly when market conditions change. The model also does not prove causality. Price may appear to react to an EMA because the EMA overlaps with another important technical or fundamental price level. --- # Best Use Equalhigh — EMA Signature v2 is particularly useful for: * Pullback trading * Trend continuation setups * Swing trading * Dynamic support analysis * Finding non-standard EMA periods * Comparing support quality between securities * Identifying repeated institutional price behavior * Locating potential re-entry zones after a trend pullback --- ## Final Principle Traditional technical analysis asks: > **Does this stock respect EMA 20, EMA 50 or EMA 200?** Equalhigh — EMA Signature asks a different question: > **Which EMA has this stock actually respected the most?** The indicator then lets the historical data provide the answer. --- **Equalhigh — EMA Signature v2** *Adaptive EMA discovery through statistical rebound analysis.* **Disclaimer:** This indicator is provided for research and educational purposes only. Historical statistical behavior does not guarantee future performance and should not be considered financial advice.

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Liquidity Levels, Sweeps & Grabs | Falcon AI Draws the liquidity pools price tends to hunt, the Previous Day and Previous Week highs and lows, and flags the two distinct ways each one gets taken. SWEEP: price trades BEYOND the level, can hover or consolidate out there, then closes back through it over one or more candles. The slower stop-run. GRAB: a single candle spikes a long wick past the level and snaps back inside with a small body, doji-like. Taken and rejected within one bar. Separating the two matters because they do not look the same on a chart and do not resolve on the same timescale. Lumping them together as one generic liquidity event loses exactly the information that made the distinction worth drawing. Each level is drawn and kept until it is taken, then marked, so you can see at a glance which pools are still sitting untouched above and below price. Settings: which levels to draw (previous day high/low, previous week high/low), wick and body thresholds that separate a grab from a sweep, line styles, colours and labels. This script does NOT place trades, does NOT backtest, and contains no entry, stop, target or position-sizing logic. It marks levels and the events that take them. Your entry, your risk. Educational tool only. Not financial advice. A swept level is not a signal, and plenty of sweeps simply keep going.

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của thefalconai