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Koda Full SystemKoda Full System – (In Developement) What It Does The Koda Full System is a structured trading indicator designed to identify high-probability liquidity sweeps (KLS setups) using a combination of: • Liquidity sweeps (stop hunts) • Market structure confirmation (BOS) • VWAP bias filtering • ATR-based volatility and risk alignment • Session-based timing (Asian, London, New York) It not only finds trade opportunities but also provides built-in risk levels, targets, and a quality score for each signal. ________________________________________ Core Features 1. KLS Signals (Koda Liquidity Sweep) The indicator detects when price: • Sweeps a previous high or low (liquidity grab) • Shows rejection (wick confirmation) • Optionally confirms with: o Break of Structure (BOS) o VWAP alignment o Minimum ATR-based move Outputs: • KLS Buy • KLS Sell ________________________________________ 2. Smart Session Filtering Only generates signals during selected sessions: • Asian • London • New York Helps you trade when liquidity is actually present. ________________________________________ 3. ATR-Based Risk System Uses daily ATR to automatically calculate: • Stop loss distance • Target levels (TP1, TP2) • Minimum valid sweep size Keeps your trades aligned with volatility. ________________________________________ 4. Built-In Trade Levels When a signal appears, it plots: • Stop Loss (red dashed line) • Target 1 (green dashed) • Target 2 (green solid) ________________________________________ 5. Trade Quality Score (0–100) Each setup is scored based on: • Sweep validity • BOS confirmation • VWAP alignment • ATR strength • Session validity Helps you filter out weak setups. ________________________________________ 6. Dashboard (Movable) Displays: • ATR and 30% ATR • Minimum sweep size • Session status (ACTIVE/OFF) • VWAP / BOS status • Current signal • Trade quality score Can be placed: • Top / Bottom • Left / Center / Right ________________________________________ How to Use It Step 1: Choose Your Sessions Enable only the sessions you trade: • Scalpers → London + New York • Swing traders → All sessions ________________________________________ Step 2: Wait for KLS Signals Look for: • KLS Buy below price → potential long • KLS Sell above price → potential short ________________________________________ Step 3: Confirm Conditions Higher-quality trades: • Score ≥ 70 • Align with VWAP direction • Occur during active session • Strong rejection wick ________________________________________ Step 4: Use Auto Risk Levels When a signal prints: • Entry: current close • Stop: ATR-based • Targets: TP1 and TP2 You can plug these directly into bracket orders. ________________________________________ Step 5: Manage the Trade • Take partial profit at TP1 • Let runner go to TP2 • Exit early if structure breaks ________________________________________ Best Practices • Avoid trading outside selected sessions • Ignore signals with low quality scores • Do not override stops (they’re volatility-based) • Combine with your own bias (trend, higher timeframe) ________________________________________ Ideal For • Scalpers (especially NASDAQ / ES / MNQ) • Intraday traders • Traders using liquidity + structure concepts ________________________________________ Simple Strategy Example Buy Setup: • KLS Buy appears • Score ≥ 70 • Price above VWAP • During London/NY session Enter long → use plotted stop → target TP1/TP2 ________________________________________ Bottom Line The Koda Full System helps you: Trade only when liquidity, structure, volatility, and timing all align. It removes guesswork and replaces it with: • Clear signals • Defined risk • Measurable trade quality ________________________________________ If you want, I can also: • Turn this into a TradingView description page • Or simplify it into a quick cheat sheet for daily use
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מאת ‎TonoMiakoda‎
Composite Regime Oscillator v6 - Clean Confirmed Reversal Composite Regime Oscillator v6 – Clean Exhaustion Histogram Overview This indicator detects **trend exhaustion** and highlights potential **reversal zones** using a multi-factor model. Instead of relying on a single condition (like RSI), it combines: * volatility expansion * price stretch from equilibrium * range positioning * momentum extremes * volume / pressure The goal is simple: > identify when a move becomes unstable and more likely to **reverse or pull back** --- What makes this indicator different Most oscillators fail in strong trends — they call tops and bottoms too early. This script solves that using: Setup + Trigger + Filter logic * **Setup** → market is stretched / exhausted * **Trigger** → price or momentum starts to turn * **Filter** → strong trends are filtered (ADX + trend structure) This prevents constant false signals during strong moves. --- Visual Signals (Clean System) All signals are shape-based (no text clutter): * ▲ Green triangle → confirmed bullish reversal * ▼ Red triangle → confirmed bearish reversal * ● Blue circle → bullish warning (early exhaustion) * ● Purple circle → bearish warning (early exhaustion) * ◆ Orange diamond → trend exhaustion / momentum cooling --- What the histogram shows Green histogram (Bullish Exhaustion) * downside pressure weakening * panic / oversold conditions * potential bottoming phase Red histogram (Bearish Exhaustion) * upside pressure weakening * overbought / euphoric conditions * potential topping phase Oscillator line * low → washed out * mid → neutral * high → strong momentum / overheating --- How to use it --- 1. Confirmed Reversal Mode (ADX ON) Best for: * swing trading * cleaner entries * avoiding fake signals in strong trends Signals appear only when: * exhaustion is present * reversal trigger appears * trend starts weakening 👉 Interpretation: **Not just stretched — trend is actually breaking** 2. Aggressive / Scalping Mode (ADX OFF) Best for: * scalping * intraday trading * early entries * quick pullbacks Signals appear earlier because: * no trend filter * no ADX restriction 👉 Interpretation: **Market is stretched and likely to react (not always fully reverse)** --- Practical usage Clean chart (recommended) * Confirmed Signals = ON * Warnings = OFF * Exhaustion Markers = OFF → Only triangles → clean and focused --- Full context mode * Confirmed Signals = ON * Warnings = ON * Exhaustion Markers = ON → See full market condition --- How to read the market Strong trend * many warning circles * few confirmed signals → trend still healthy --- Weakening trend * orange diamonds appear * warnings reduce * then triangle appears → higher probability reversal --- Works best in * extended trends * volatility expansions * emotional market phases --- Works worse in * tight ranges * low volatility chop * slow grinding trends --- Best used with * support / resistance * liquidity zones * Keltner / Bollinger bands * RSI divergence * market structure breaks * higher timeframe bias --- Summary This indicator answers one question: > **Is the trend still strong — or starting to break?** * Triangles → confirmed reversals * Circles → early warnings * Diamonds → momentum fading With ADX: → cleaner, slower, more reliable Without ADX: → faster, noisier, more aggressive Final note This is **not a trend-following indicator**. It is designed for: * exhaustion detection * reversal timing * identifying unstable price moves Use it with context — not in isolation.
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מאת ‎theprofitreframe‎
CTA Exhaustion Proxy with Asymmetric VIX A positioning-based reversal system that tracks trend-following fund crowding and exhaustion. This indicator estimates when systematic trend-following funds (CTAs) are trapped at maximum positioning and likely to be forced into rapid covering or liquidation. It combines three timeframes of moving-average positioning with asymmetric volatility filters to identify high-probability reversal setups. WHAT IT TRACKS CTAs are mechanical trend-followers. When they all align on one side of the market (max long or max short), the risk of a violent reversal increases. This proxy scores their estimated positioning on a -3 to +3 scale: -3 = Max short — all three trend signals bearish. Forced-cover risk is highest. +3 = Max long — all three trend signals bullish. Forced-liquidation risk is highest. The score is derived from price relative to 10, 60, and 120-period moving averages. THE THREE SIGNALS VEL (Label box) — Score velocity >= 2 points in 2 days + 10 MA break. Early warning. Reduce exposure or prepare to trade. SHARP (Diamond) — 3 to 7 days at extreme + high velocity + 10 MA reclaim/break. Primary entry. Catches V-shaped reversals. EXH (Triangle) — 8+ days at extreme + 10 MA reclaim/break. Higher-confidence entry. Slower, but more reliable. ASYMMETRIC VIX REGIME The indicator uses different volatility thresholds for longs and shorts: Long signals require VIX > 20. You need fear to create a vacuum for short-covering to explode. Short signals require VIX < 18. You need complacency for maximum position sizing and no hedges underneath. VIX is pulled from daily data regardless of chart timeframe. BACKGROUND COLORS Orange = 3+ days at +/-3 (early crowding alert) Gold = 8+ days at +/-3 (maximum exhaustion) HOW TO TRADE IT For Longs (Bullish Reversal): Wait for score to hit -3 (background turns orange). Confirm VIX > 20 (table shows PASS). Enter on SHARP diamond (aggressive) or EXH triangle (conservative). Stop below the 10-period MA. For Shorts (Bearish Reversal): Wait for score to hit +3 (background turns orange). Confirm VIX < 18 (table shows PASS). Enter on SHARP diamond (aggressive) or EXH triangle (conservative). Stop above the 10-period MA. RECOMMENDED SETTINGS & CHARTS Apply this to ES1! (E-mini S&P 500) for equity positioning, ZN1! (10Y Treasury futures) for bond flows, or GC1! (Gold) for commodity positioning. Use daily or 4h timeframes for cleanest signals. Default inputs: Fast MA: 10 Medium MA: 60 Slow MA: 120 Sharp threshold: 3 days Slow threshold: 8 days VIX long min: 20 VIX short max: 18 DISCLAIMER This is a proxy model based on estimated systematic positioning, not actual CTA order flow. Signals are probabilistic, not predictive. Always use risk management and confirm with price action before trading.
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מאת ‎BitCoinBeBop2‎
Money Flow Dynamics Forecaster 3D [TechnicalZen]The art of swimming with the whales 🐳 What is this? MFDF 3D provides a topological three-dimensional mapping of current market drivers and potential future trajectories. is a visual analysis indicator that compresses several ideas into one spatial model: recent history, layer depth, directional amplitude, and short-term forward continuation. Visually a three-dimensional momentum ocean where two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA-driven) — are rendered as layered terrains inside a bounded 3D box. Past history forms a waved carpet; the future is slope-extrapolated with exponential decay. When both systems agree, whales appear — 🐳 when the tide is rising, 🐋 when it's falling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Metaphor — Swimming With the Whales Markets do not move on their own. They move because whales move them — large institutional players whose positions are too big to enter or exit in a single candle. A pension fund building a position, a market maker hedging a block, a macro desk rotating out of a sector — none of them can step in without leaving ripples. When whales move, they leave two distinct footprints in the tape: Money Flow — volume concentrated at favorable prices. You don't see it as a price change at first; you see it as buying pressure accumulating . MFI, weighted by volume, detects this before it becomes price. Price Current — the volume-weighted tide. Once enough pressure accumulates, price itself has to drift in the direction the whale is pushing. Hull-VWMA slope tracks this. Retail traders typically see only the second footprint — price moving. By then the whale is already positioned. Money Flow shows you the first footprint before price has to respond, which is why MFI leads VWMA in this indicator. The goal is not to catch the whale — you can't. The goal is to see the ripples early enough to swim with the tide instead of against it. That's what "swimming with the whales" means: recognizing the institutional current and aligning with it, instead of fading it and getting dragged under. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Fluid Dynamics Every oscillator you've used is a single line. MFI is one line. RSI is one line. MACD is two lines and a histogram. They're flat because they pick one smoothing length and commit to it. You see where momentum is; you don't see its shape . This indicator draws a family of 20 Hull-smoothed Money Flow variants simultaneously , each using a different HMA length (3, 4, 5, 6, 8, 10, 12, 14, 17, 20, 23, 26, 30, 34, 38, 42, 46, 50, 55, 60). Short HMAs foam at the surface, reacting instantly. Long HMAs move like glaciers. Stitched together across time and depth, they form a genuine fluid — ripples, waves, surges, cascades, turning-tides — not a line, a current. The Hull-VWMA carpet is the same idea on a second dimension: 12 depth layers, each the 2-bar percentage slope of a Hull-smoothed Volume-Weighted Moving Average. This is your price current : where the volume-weighted tide is moving, independent of momentum. Two independent Wireframes. Shared 3D box. When they agree, the whale arrives. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The 3D Box Axes: X — time (past bars left of center, forecast right) Y — amplitude, signed ±100 (positive = bullish, negative = bearish) Z — depth layer (each HMA length sits at a different depth) Reference planes: The translucent Y=0 plane is momentum neutrality — where MFI = 50, VWMA slope = 0. Wireframes rise above it when bullish, sink below when bearish. The X=0 plane marks the current candle. Everything to the left is memory; everything to the right is forecast. Nine labeled points (A–I) on the Y=0 plane let you orient instantly. Riders: 🏄‍♂ — rides the leading edge of the Money Flow terrain (HMA 20 middle layer) ⛵ — rides the Price Current leading edge (Hull-VWMA slope in Hull-VWMA mode, signed-ADX HMA in ADX mode) 🐳 — breaches at the forecast end when both slopes are bullish 🐋 — dives at the forecast end when both slopes are bearish ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Color Aesthetics The color choices are not random — they carry semantic weight. Money Flow terrain uses traffic-light logic: Yellow at neutral (v ≈ 0) Yellow → Green as bullish momentum grows Yellow → Red as bearish momentum grows Solid green above +50, solid red below −50 Hull-VWMA carpet uses a water palette: Light blue at neutrality — still water Light blue → Cyan as money flows in Light blue → Maroon as money flows out Transparency encodes magnitude: weak signals fade to nearly invisible, strong signals saturate. You read intensity at a glance, without staring at a number. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Forecast Past Wireframes tell you where you've been. The right half of the box projects where you're heading . Each of the 20 + 12 = 32 HMA layers gets slope-extrapolated into the future: future = current + slope · t · decay^t slope is computed from the last N bars (default 4) decay (default 0.92) is the honesty multiplier — the further out you go, the less confident the projection, so the slope contribution fades All forecast values clamp to ±100 so they never escape the box Rendered as translucent ghost terrain in the forecast half, colored with the same palette as the past but softer. You see the shape of projected momentum , not a point estimate. When both the Money Flow middle-layer slope AND the Hull-VWMA middle-layer slope agree on direction, a whale surfaces at the forecast's far edge. This is confluence — two independent systems pointing the same way. That's the signal worth swimming toward. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Two Riders — Surfer vs Sailboat The two emojis on the present-boundary are not decoration. They represent two fundamentally different kinds of signal — and understanding the difference is the whole game. 🏄‍♂ The Surfer — rides the Money Flow terrain. Surfers feel the impulse : every short wave, every gust of buying or selling pressure, every sudden shift in volume-weighted momentum. Surfers are fast, reactive, sensitive. What the surfer tells you: "the wind just picked up" — or "it just died." This is the quick, leading signal. ⛵ The Sailboat — rides the Price Current carpet. Sailboats don't react to gusts; they set their course by the trend — the steady directional pressure of the volume-weighted tide pushing the boat one way or the other. Slow, deliberate, confirmed. What the sailboat tells you: "the current is actually carrying us this way now." This is the confirming, lagging signal. These are two different kinds of information, not two views of the same thing: The surfer sees the impulse before it matures into committed direction. The sailboat confirms that the impulse has turned into real directional displacement. When both agree — surfer AND sailboat pointing the same way — momentum builds faster than either signal could account for alone. That agreement is the proof that big money isn't just testing the waters; they're actually moving them. That's when a whale surfaces. Surfer alone = wind, no commitment yet. An impulse without confirmation — interesting but unconfirmed. Sailboat alone = drift, no fresh push. A trend without new pressure — may be tired. Surfer + Sailboat = whale. Both fresh impulse and committed direction. Institutional participation confirmed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Reading the Whales — What They Mean For Decisions A whale is not a liquidity-grab signal. It is a confluence signal: both independent systems have agreed on direction at the same time. 🐳 — Money Flow and Price Current are both rising. Buyers are accumulating AND getting filled at progressively higher prices. This is sustained pressure, not a stop-hunt or a single-bar spike. 🐋 — Both falling together. Selling pressure AND price giving ground in lockstep. No whale — the two systems disagree, or both are flat. Low-conviction zone. Decision framework 🐳 → align long, don't fade. This is a conviction trade, not a reversal bet. Big money is actually pushing the tape, so size up with the tide instead of against it. 🐋 → exit longs or consider shorting. Don't buy the dip blindly — the volume-weighted price is confirming the sellers, not fighting them. No whale → stand aside, or scale out of existing positions. Wait for confluence before committing fresh risk. The mental model: "is big money actually moving the tape right now, or just shuffling?" Whale = pushing. No whale = shuffling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Helpful Tip — Money Flow Leads Price Current How to Use It in Practice The best way to use the indicator is to read it in layers. It is not a one-glance yes or no system. Its advantage comes from helping the user see whether a move has internal support, whether the structure is broadening or thinning, and whether the present slope still has credible continuation. • Start with orientation: Keep the default camera first. Learn where the zero plane is, where present time sits, and how positive and negative terrain occupies the box. • Read the momentum terrain first: Look for height, curvature, and continuity across layers. A broad aligned rise or fall is stronger than a single sharp spike on only the fast layers. • Check the oscillator carpet next: In Hull-VWMA mode, ask whether price-current slope supports momentum. In ADX mode, ask whether directional trend strength is building under the move. • Inspect the forecast half: Use the ghosted forward half as a continuation sketch, not as a promise. Flattening structure, decaying height, or diverging layers often matter more than the exact projected endpoint. • Use the whale as confirmation, not as the whole trade: The whale is most useful when it appears after the terrain has already become coherent, not when the picture is still fragmented and noisy. Practical setup profiles Fast tape Suggested mode: MFI + Hull-VWMA What to emphasize: Steeper terrain changes and quicker second-signal response. Reading style: Use for intraday pulse and immediate continuation checks. Cleaner swing structure Suggested mode: RSI + Hull-VWMA What to emphasize: Broader curvature and less volume sensitivity. Reading style: Use when the user wants smoother rhythm and cleaner layer alignment. Trend-strength confirmation Suggested mode: MFI or RSI + ADX What to emphasize: Whether directional pressure is actually strengthening underneath the move. Reading style: Use when momentum looks attractive but may be structurally weak. In practice, the Money Flow terrain (yellow/green/red) turns before the Hull-VWMA carpet (cyan/blue/maroon) . Volume-driven accumulation and distribution show up in MFI first — price only has to move afterwards to reflect what already happened underneath. What to watch for: Momentum terrain flipping color while the carpet is still flat → early warning . A whale sighting may be forming but is not yet confirmed. Carpet starting to tilt the same way → confirmation building . Slopes are aligning. 🐳 / 🐋 appears at the forecast edge → confluence . Both systems point the same way. Act. Read the terrain first. Wait for the carpet to catch up. Act on the whale. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Why This Is Different Traditional oscillators answer: "what is momentum doing right now?" This indicator answers: What is money flow doing across every smoothing horizon at once? — the 20-layer Wireframe shows the full shape of momentum, not a single slice What is the volume-weighted price doing independently? — the Hull-VWMA carpet is a second, independent witness What do they predict together? — slope-extrapolated forecasts fill the future half; confluence emojis mark conviction How strong is the signal? — opacity, saturation, and emoji presence are all quantitative encodings No threshold to wait for. No line to cross. The ocean tells you where you are — and the whales tell you where it's heading. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best Used With Volume-Weighted Candles Switch your TradingView chart's bar type (top-left dropdown) to Volume Candles . Here's why this matters: the Hull-VWMA layer is already volume-weighted mathematically. When the chart's candles are ALSO volume-weighted, every visible pixel speaks the same language — price, indicator terrain, and forecast are all reading the same volume-filtered reality. Thin-volume wicks and gap-outs stop polluting the chart, so they stop polluting the forecast 🐳 / 🐋 confluence signals calibrate more cleanly because both the price action and the indicator see the same "what the volume actually cared about" On plain OHLC candles the indicator still works — but low-liquidity price spikes can disagree with the terrain. On VWC they move in lockstep. If you want one setup to remember: Volume Candles + this indicator + default settings . Swim with the whales. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best Paired With Smart Candle Structures This indicator answers one question: "Is big money flowing, and in which direction?" It does not answer: "At what price level should I enter, exit, or place my stop?" For that you need structural context — the levels where the market has historically reacted. Smart Candle Structures (order blocks, fair value gaps, liquidity pools, break-of-structure / change-of-character zones) maps exactly those levels. The two tools are complementary, not redundant: Smart Candle Structures gives you WHERE — the structural level worth reacting at. MFD Forecaster gives you WHETHER AND WHEN — is the flow actually supporting a reaction here, and is it committed enough to act on? The ideal workflow: Smart Candle Structures highlights a level worth watching (an unfilled order block, a liquidity sweep, a CHoCH break). Price arrives at that level. You don't act yet. Watch this indicator: is the surfer turning? Is the sailboat joining? Is a whale forming in the forecast half? Structure + confluence = your trigger. Structure without confluence = low-conviction trap. Confluence without structure = direction without location. Pair them and you have both legs of the trade: the right place, at the right moment, with conviction . ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TradingView Chart Stretch — Feature, Not Bug Pine drawings live in chart coordinates (bar_index × price), so they stretch with your chart. Most indicator authors fight this. We lean into it. Horizontal zoom → bar spacing changes → the 3D box widens or tightens organically. Zoom in tight to inspect individual layer positions; zoom out to see broad wave cycles. Pane height changes → vertical proportions adjust. Invisible ±50 anchor plots lock the Y range so the box never jumps when values move. Emojis scale with the pane — surfers and whales always read clearly at any zoom. The indicator breathes with your viewport . That's what a real 3D visualization should do in a chart environment. It's responsive by design, not despite itself. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Settings Overview Core Time Span — past bars rendered (default 15). Also the forecast horizon. Momentum Source — MFI (volume-weighted, default) or RSI (pure price) Momentum Length — 14 default Rib Amplification — stretches the ribs vertically to fill the box Oscillator (Hull-VWMA) VWMA Length — default 30 HMA Length — default 20 Hull-VWMA Scale — amplifies the slope into ±100 Bull/Bear/Neutral Tint colors Camera Yaw — horizontal rotation (−180 to +180) Pitch — vertical tilt (default 5° = eye-level) Scale X / Y / Z — box proportions Forecast Slope Lookback — bars used to compute current slope (default 4) Decay per Bar — how slope contribution fades into the future (default 0.92) Display Box Wireframe, Y=0 plane, Axis markers, Mesh wireframe, Grids (all togglable) Show Emoji Markers — master toggle for all four emojis Quick-Start Tips Load with defaults. Switch chart bar type to Volume Candles. Watch for 🐳 and 🐋 — they're rare, by design. They mean confluence. Read the color gradient — yellow is neutral, bright green / cyan is strong bull, red / maroon is strong bear. Try yaw presets: 0 = front view, 45 = corner, 90 = side, 180 = back. Lower time spans (10–15) for intraday, higher (25–40) for daily and weekly. Money Flow leads Price Current. If the yellow/green/red terrain is already turning while the cyan/blue/maroon carpet is still flat, you're early — the whale hasn't confirmed yet, but it's forming. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Disclaimer This indicator is a visualization and analytical tool. It is not financial advice, a trade recommendation, or a signal service. The whale emojis, forecast terrain, and slope extrapolations are mathematical projections from past data. They describe what has been and what linear decay would suggest next — not what markets will actually do. Markets are non-linear and reflexive; forecasts can and will be wrong. No indicator eliminates risk. Confluence signals reduce noise, they do not guarantee outcomes. Every trade can lose. Past performance — of this tool, or of any setup you build with it — does not predict future results. Use with your own risk management (position sizing, stop placement, portfolio exposure). The indicator has no awareness of your account, your instruments, or your time horizon. Do your own research. Consider speaking to a licensed financial professional before making investment decisions, especially on leveraged or derivative instruments. By using this indicator you accept that all trading decisions and their consequences are your own. The author assumes no liability for losses incurred through use of this tool. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The art of swimming with the whales. — TechnicalZen
אינדיקטור
מאת ‎TechnicalZen‎
1
ES Multi-SignalCole Multi-Signal B/S combines five battle-tested indicators into a single, vote-based buy/sell system designed for intraday traders on the 15–30 minute chart. The script aggregates signals from Keltner Channels (volatility breakouts), Williams Alligator (trend confirmation via three smoothed moving averages), VWAP (institutional price bias), RSI (momentum positioning), and MACD (trend + momentum crossover). Each indicator casts an independent bull or bear vote on every bar, and a BUY or SELL label prints only when at least 3 of 5 agree — filtering out the noise that plagues single-indicator systems. Features: Majority-vote mode (3/5) for balanced signal frequency, or strict mode (5/5) for high-conviction setups only Built-in signal deduplication — no repeat labels until direction actually flips On-chart score breakdown showing exactly which indicators confirmed each signal Fully configurable lengths, multipliers, and thresholds for every component Alert conditions ready for TradingView webhooks (Discord, brokers, custom apps) Best used on: SPY, QQQ, and liquid large-caps on 15m–1H charts during regular market hours. VWAP anchoring resets each session, making this especially effective for intraday setups. Not financial advice. Always backtest and paper-trade before committing capital.
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מאת ‎toredocap‎
ORB + Volume + VWAP BreakoutA disciplined intraday breakout indicator that combines three classic confirmations into a single signal: an **Opening Range Breakout**, a **volume surge**, and **VWAP trend alignment**. Designed to filter out low-quality breakouts and highlight only moves backed by participation and momentum. ## Concept Opening Range Breakout (ORB) is one of the oldest and most robust intraday setups — the theory being that the first N minutes of the session establish the day's battleground, and a decisive break of that range signals directional commitment. On its own, however, ORB produces too many false signals. This indicator layers two institutional-grade filters on top: - **Volume confirmation** — the breakout bar must print at least 1.5× the recent average volume, weeding out thin, low-conviction moves. - **VWAP alignment** — price must be trading above VWAP, confirming that the average buyer of the day is in profit and bulls are in control. Only when all three conditions align on the same bar does the indicator fire a signal. ## How It Works 1. At the start of each regular trading session, the indicator tracks the high and low of the first 30 minutes (configurable). 2. Once the opening range is locked, it monitors every subsequent bar for a close above the range high. 3. On each potential breakout, it checks that current volume exceeds 1.5× the 20-bar average (both configurable) and that price is above the session VWAP. 4. When all three conditions are met on the same bar, it plots a green triangle below the bar, highlights the background, and fires an alert. 5. The signal is de-duplicated so you get exactly **one alert per breakout leg**, not one per bar while price stays above the range. ## Visual Output - **Blue line** — Opening Range High (active only during session) - **Orange line** — Opening Range Low (active only during session) - **Purple line** — Session VWAP - **Green triangle + "BRK" label** — Breakout signal - **Green background highlight** — Emphasizes the breakout bar ## Settings - **Opening Range (minutes)** — Length of the opening range window. Default 30. Classic values: 15, 30, 60. - **Regular Trading Session** — Session time string. Default `0930-1600` (US equities). Change for futures (`1800-1700`), crypto (`0000-0000`), or other markets. - **Volume Multiplier** — How many times the average volume is required. Default 1.5. Use 2.0+ for stricter filtering. - **Volume Average Length** — Lookback for the volume SMA. Default 20. - **Show Opening Range / Show VWAP** — Toggle visual elements. ## Alerts The indicator registers a `ORB Breakout` alert condition. To enable: 1. Right-click the chart → **Add Alert** 2. Set **Condition** to this indicator → **ORB Breakout** 3. Configure delivery (popup, email, webhook, etc.) The alert message includes ticker and close price via TradingView placeholders. ## ⚠️ Important Usage Notes **1. Use on intraday timeframes lower than the opening range.** This indicator is built for 1m, 5m, or 15m charts with a 30-minute opening range. Running it on a timeframe equal to or higher than the OR window (e.g. 30m or 1h chart with 30-minute OR) will produce incorrect range values because the first bar of the session already spans the entire window or more. **Recommended pairings:** - 30-min OR → use 1m / 5m / 15m chart - 15-min OR → use 1m / 3m / 5m chart - 60-min OR → use 5m / 15m / 30m chart **2. Match the session string to your instrument.** The default `0930-1600` is US stock market hours in the exchange's native time zone. If you apply this to futures, forex, or crypto, update the session input accordingly — otherwise the opening range will never register. **3. Extended hours display does not break the indicator.** The session detection uses day-change logic rather than session-gap logic, so it works identically whether "Extended Trading Hours" is toggled on or off in chart settings. **4. VWAP is session-anchored.** The built-in `ta.vwap()` resets each session automatically, matching how most traders read VWAP. If you need a weekly- or monthly-anchored VWAP, the script would need modification. **5. Signals are confirmed on bar close.** Like all close-based indicators, signals can flicker intraday before the bar closes. For live trading, wait for the bar to close before acting, or use the `alert()` function with `barstate.isconfirmed` for non-repainting alerts (requires a minor code adjustment). ## Known Limitations - **Long-only by design.** This version fires on upside breakouts with bullish VWAP confirmation. A short-side version would invert the logic (close < ORL, close < VWAP). - **No automatic stop or target.** This is a signal indicator, not a complete strategy. Users should pair it with their own risk management (e.g. stop below opening range low, target at prior day's high, or ATR-based exits). - **Volume filter is market-dependent.** A 1.5× multiplier works well for liquid US equities but may be too strict for low-volume names or too loose for high-volatility small caps. Tune to your universe. - **First trading day on a new symbol.** On the very first session visible in your chart's history, the 20-bar volume average may be based on incomplete data. Subsequent days are unaffected. - **Not intended for swing or position trading.** The opening range concept is intraday-specific and loses meaning on daily+ timeframes. ## Ideal Use Cases - Momentum day trading on liquid US equities (SPY, QQQ, NVDA, TSLA, AAPL, etc.) - Index futures (ES, NQ) during RTH - Filtering gap-and-go setups for only the ones with genuine follow-through - As a confirmation layer on top of your existing breakout watchlist ## Credits Opening Range Breakout concept originally popularized by Toby Crabel (*Day Trading with Short Term Price Patterns and Opening Range Breakout*, 1990). Volume and VWAP confirmation filters are standard institutional trading practice. --- **Feedback welcome.** If you find a setup where the signals are consistently wrong (or consistently great), leave a comment with the ticker and timeframe — I'll use the data to refine future versions.
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מאת ‎echanxyz‎
NWOG - NDOG - 1st Presentation FVGNWOG – NDOG – 1st Presentation FVG Indicator This script identifies and plots key ICT-based price delivery concepts, including New Week Opening Gap (NWOG), New Day Opening Gap (NDOG), and the first presentation Fair Value Gap (FVG) of the session. NWOG (New Week Opening Gap): Highlights the price gap between the previous week’s close and the current week’s open. This level is used to track potential rebalancing or mean reversion during the week. NDOG (New Day Opening Gap): Marks the gap between the previous day’s close and the current day’s open, often acting as an intraday liquidity or target level. 1st Presentation FVG: Detects the first Fair Value Gap formed after the session begins (typically London or New York). This is considered a high-probability imbalance zone where price may return for mitigation. The indicator automatically draws these zones on the chart, helping traders identify key liquidity levels, inefficiencies, and potential entry or target areas based on ICT concepts.
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מאת ‎aravindforex23‎
Signal Projection ExplorerMany traders focus on building full strategies right away — combining entries, exits, stop-losses, take-profits, filters, and position sizing. But there is a problem with that approach: 👉 It often hides the true quality of the underlying signal. When multiple layers are added on top (risk management, opposite signals, overlays), it becomes very difficult to answer a simple but critical question: “Is this signal actually good on its own?” 🎯 What this indicator does This tool is designed to analyze raw signals in isolation. Instead of jumping straight into a full strategy, it lets you explore: 👉 What tends to happen to the price after a signal occurs? 🔍 How it works The script detects signals in historical data (Golder Cross in this script). It collects all occurrences of those signals. For each signal, it tracks price performance over the next X bars. It then builds a distribution of outcomes and projects it forward from the current price. 📈 What you see on the chart Instead of a single prediction, you get a range of historical outcomes: 🔴 Worst P&L → maximum adverse move after the signal 🟢 Best P&L → best-case outcome 🔵 25th percentile → lower bound of typical outcomes 🟠 75th percentile → upper bound of typical outcomes ⚪ Mean → average path 🟣 Median → typical (robust) path All of these are projected forward from the current price, giving you an intuitive view of possible scenarios. 📋 Stats Table The table summarizes key metrics at the selected projection horizon: Number of signals used Final P&L for each line (Worst / Best / Percentiles / Mean / Median) Distribution metrics like Spread and IQR This gives you a quick read on: Expected return Risk range Outcome dispersion 🧠 Why this matters This tool helps you: Separate signal quality from strategy complexity Understand risk vs reward before adding filters Avoid overfitting strategies on weak signals Build better systems from strong foundations ⚠️ Important note This is not a prediction tool. It shows historical tendencies based on past signals — not guaranteed future outcomes. Always use it as: a research tool a context layer not a standalone trading system 🚀 Final thought Before optimizing entries, exits, and risk… 👉 Make sure your signal itself has an edge. This indicator helps you see that clearly.
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מאת ‎QuantNomad‎
2
CTA Exhaustion Proxy with Asymmetric VIXA positioning-based reversal system that tracks trend-following fund crowding and exhaustion. This indicator estimates when systematic trend-following funds (CTAs) are trapped at maximum positioning and likely to be forced into rapid covering or liquidation. It combines three timeframes of moving-average positioning with asymmetric volatility filters to identify high-probability reversal setups. WHAT IT TRACKS CTAs are mechanical trend-followers. When they all align on one side of the market (max long or max short), the risk of a violent reversal increases. This proxy scores their estimated positioning on a -3 to +3 scale: -3 = Max short — all three trend signals bearish. Forced-cover risk is highest. +3 = Max long — all three trend signals bullish. Forced-liquidation risk is highest. The score is derived from price relative to 10, 60, and 120-period moving averages. THE THREE SIGNALS VEL (Label box) — Score velocity >= 2 points in 2 days + 10 MA break. Early warning. Reduce exposure or prepare to trade. SHARP (Diamond) — 3 to 7 days at extreme + high velocity + 10 MA reclaim/break. Primary entry. Catches V-shaped reversals. EXH (Triangle) — 8+ days at extreme + 10 MA reclaim/break. Higher-confidence entry. Slower, but more reliable. ASYMMETRIC VIX REGIME The indicator uses different volatility thresholds for longs and shorts: Long signals require VIX > 20. You need fear to create a vacuum for short-covering to explode. Short signals require VIX < 18. You need complacency for maximum position sizing and no hedges underneath. VIX is pulled from daily data regardless of chart timeframe. BACKGROUND COLORS Orange = 3+ days at +/-3 (early crowding alert) Gold = 8+ days at +/-3 (maximum exhaustion) HOW TO TRADE IT For Longs (Bullish Reversal): Wait for score to hit -3 (background turns orange). Confirm VIX > 20 (table shows PASS). Enter on SHARP diamond (aggressive) or EXH triangle (conservative). Stop below the 10-period MA. For Shorts (Bearish Reversal): Wait for score to hit +3 (background turns orange). Confirm VIX < 18 (table shows PASS). Enter on SHARP diamond (aggressive) or EXH triangle (conservative). Stop above the 10-period MA. RECOMMENDED SETTINGS & CHARTS Apply this to ES1! (E-mini S&P 500) for equity positioning, ZN1! (10Y Treasury futures) for bond flows, or GC1! (Gold) for commodity positioning. Use daily or 4h timeframes for cleanest signals. Default inputs: Fast MA: 10 Medium MA: 60 Slow MA: 120 Sharp threshold: 3 days Slow threshold: 8 days VIX long min: 20 VIX short max: 18 DISCLAIMER This is a proxy model based on estimated systematic positioning, not actual CTA order flow. Signals are probabilistic, not predictive. Always use risk management and confirm with price action before trading.
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מאת ‎BitCoinBeBop2‎
BTC TABI (Tops and Bottoms Indicator) Model TABI BTC Model Overview The TABI BTC Model is an 18-component composite oscillator designed to identify Bitcoin macro cycle tops and bottoms. It's a reverse-engineered and expanded implementation of the InvestAnswers TABI (Top And Bottom Indicator) concept, combining price-derived technicals, on-chain proxies, and cross-market signals into a single 0–100 score with a 7-color heatmap. How It Works Each of the 18 sub-metrics is percentile-ranked over a rolling 4-year lookback (1460 bars on Daily), multiplied by a configurable weight, then averaged and smoothed with a 5-period EMA. This normalization means every component contributes on the same 0–1 scale regardless of its raw units — solving the scaling problem that breaks most multi-indicator composites. The 18 Components Price-Derived (7) 350DMA Multiple, Mayer Multiple (200DMA), Pi Cycle Distance, Puell Proxy (365DMA), RSI(14), Log-Log Regression Position, Volatility Ratio (ATR) TradingView On-Chain Feeds (2) MVRV Z-Score (BTC_MVRV), BTC Dominance Inverted (CRYPTOCAP:BTC.D) On-Chain Approximations (2) NUPL Proxy (2yr MA), Hodler Proxy (1yr/4yr MA ratio) New Cross-Market & Flow Signals (7) Monthly RSI — Multi-year cycle exhaustion; historically only fires >80 at confirmed tops SOPR Proxy — Short-term return velocity vs. medium-term trend (profit-taking flow) Reserve Risk Proxy — Price vs. accumulated long-term holder cost basis ETH/BTC Ratio — Late-cycle altcoin rotation signal Stablecoin Supply Ratio (SSR) — Dry powder / buying fuel remaining Coinbase Premium — US institutional demand proxy Hash Ribbon Proxy — Miner capitulation signal (with fallback) Color Zones Score Zone Interpretation 0–20 🟣 Dark Blue Maximum buy / capitulation bottom 20–35 🔵 Blue Strong accumulation 35–50 🟢 Green Mild accumulation 50–65 🟡 Yellow Neutral / caution 65–75 🟠 Light Orange Reduce size 75–85 🟧 Orange Sell zone 85–100 🔴 Red Danger / distribution top Features Fully adjustable weights per metric — tune to your analysis style Individual metric toggles to inspect sub-components Built-in alerts for crosses of 20, 50, and 85 thresholds Extreme zone background highlighting Graceful NA handling on on-chain feeds that may be unavailable on some plans Best Used On Symbol: BTCUSD (or any major BTC pair) Timeframe: Daily (the 4-year percentile lookback is calibrated for this) Limitations This is not the original InvestAnswers TABI — that uses 19 proprietary metrics including true on-chain data (SOPR, hashrate, NVT) that Pine Script cannot access directly On-chain feeds (MVRV, BTC.D, QUANDL hashrate) depend on your TradingView plan; the script falls back to neutral (0.5) if data is missing Coinbase and USDC data only goes back to ~2018; pre-2019 percentiles on those components are compressed Not financial advice — a tool to support analysis, not replace it
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מאת ‎RelentlessGainz‎
2
Monte Carlo Risk Geometry Simulator [Aslan]Thanks to @KioseffTrading for the polyline retracing system and the plotting system as a whole🙏 ♦️ What This Script Does This is a Monte Carlo simulator for visualising and calculating the probability of a return based on risk geometry of the model (Risk %, RR, WR). It assesses the probability of returns by generating hundreds or thousands of possible outcomes using your win rate, risk-reward, and position sizing. Each line you see is a different plausible “future,” showing how your account could realistically evolve. 🔶 How To Use It Input your strategy stats, run a large number of simulations, and focus on three things: how wide the equity curves spread, how deep drawdowns get, and the percentage of profitable outcomes. Then adjust your model and repeat. 🔷 Application in Prop Firm evaluations Using the threshold system, you can see what risk geometry is most likely to pass a prop firm evaluation. Suprisingly, the most probable geometry for passing an eval can sometimes have a negative expected value! ♦️ Bottom Line This script helps you move from “how much can I make?” to “how likely am I to profit?” 🔎 Monte Carlo Simulations Explained Monte Carlo simulations are a method of modeling uncertainty by running many random versions of the same system to see all possible outcomes. In trading, instead of assuming one fixed result, it repeatedly simulates sequences of wins and losses based on your strategy’s statistics (like win rate and risk-reward). This creates a distribution of potential equity curves, showing not just what did happen, but could happen. It’s essentially a way to test probability and survival under randomness rather than relying on a single backtest. Monte Carlo simulations are widely used on quant trading desks around the world to model uncertainty, test strategy robustness, and estimate the probability distribution of trading outcomes under real-world randomness.
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מאת ‎Zimord‎
Hybrid ForecastHybrid Forecast is a chart-overlay indicator built to organize short-term directional ideas into something more useful than a simple buy or sell marker. Instead of only printing a signal, it projects a target zone, shows the expected path, and marks an invalidation level so the setup is easier to read as a complete trade idea rather than a standalone arrow. The purpose of the script is not to predict every move. The purpose is to make short-horizon market structure easier to interpret by combining signal direction, projected destination, and visible failure points in one clean layout. The reason this script exists is simple: many indicators either do too little or show too much. Some only mark entries and leave the rest to the trader. Others cover the chart in so many objects and statistics that the decision actually gets harder. Hybrid Forecast was built to sit in the middle. It tries to keep the chart readable while still giving enough context to understand where price may be headed, where the idea breaks down, and how the current settings are behaving over time. That is also the style used in many of the stronger TradingView descriptions: explain the problem, explain the tool’s role, and explain the workflow in practical terms rather than hype. At a high level, the script blends a live directional engine with a memory-based forecast layer. The live side evaluates current price behavior, slope, persistence, trend quality, volatility, and expansion. The memory side compares the current setup to prior stored conditions and contributes forecast information when the match quality is good enough. The result is a hybrid forecast process that is meant to be more adaptive than a fixed signal model while still staying compact and readable on the chart. In the current script, that hybrid structure is visible through the live-versus-memory blending controls, stored setup memory, neighbor search logic, and forecast projection workflow. What you see on the chart is intentionally limited to the parts that help with decision-making. The script can show entry triggers, a projected forecast zone, a projection arrow, a stop-loss or invalidation line, optional target labels, and optional high-quality badges for the strongest setups. The idea is to present a forecast as a small package: direction, projected zone, and a clear line where the trade idea is likely wrong. That is why the forecast zone and the invalidation line matter just as much as the trigger marker itself. The dashboard is intentionally small. It is not meant to be a developer console. It is there to answer a few practical questions quickly. “Samples” shows how many completed forecasts have already been graded. “Right Direction” shows how often price moved the expected way. “Reached Target” shows how often price got into the projected zone. “Strong Setups” shows how the highest-quality setups are performing. “Main Blocker” tells you the biggest reason the script is not printing more signals right now. “Profile Mode” simply reflects the current signal frequency profile. Those are the only stats most traders need during live use, and the rest is deliberately kept out of the public HUD. The main public control is Signal Frequency. Conservative is more selective and tends to wait for cleaner structure. Balanced is the best starting point for most users and is the intended default. Active is more responsive and will generally produce more opportunities, but naturally it also asks the trader to tolerate more noise. The other important public controls are Forecast Horizon, which changes how far the projection extends, Forecast Zone Multiplier, which changes the size of the target area, and the visual toggles, which let you simplify the chart if you only want the most important objects displayed. The current defaults are built around a short forecast horizon, so the script is most naturally suited to intraday use rather than very slow swing-style forecasting. The best way to use Hybrid Forecast is to treat it as a structured decision-support tool, not as a promise engine. Start with the Balanced profile. Keep the chart clean. Watch how the trigger, projection zone, and stop-loss line relate to each other. If the script is quiet, check the Main Blocker row before loosening settings. If the chart feels too busy, reduce the number of visible setups or disable labels and badges. Bar Replay is the best place to get familiar with how the forecast behaves because it lets you judge the sequence of signal, projected zone, and invalidation the way it would have appeared in real time. In practical use, this script is best for traders who want a compact overlay for short-term direction, projected destination, and invalidation without stacking multiple separate tools on the chart. It is especially suitable for intraday traders who think in terms of continuation, reversal, target reach, and failed structure rather than just raw entry markers. Since the current default forecast horizon is short, lower intraday timeframes are the most natural fit, while slower charts may require some adjustment to horizon and signal density. Like any indicator, Hybrid Forecast has limitations. Forecast zones can miss. Strong-looking setups can still fail. Lower timeframes naturally contain more noise. The dashboard percentages only become meaningful after enough samples build up. And because this is an indicator, not a full strategy or execution system, it should be used with your own trade management, risk controls, and judgment.
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מאת ‎Finntech1‎
CENTRAL Size CalculatorThis tool calculates position size based on account balance, risk percentage, stop loss in pips, and pip value. It is designed to help traders apply consistent risk management across different market conditions. Formula used: Position Size = Risk Amount / (Stop Loss × Pip Value) Example: If you risk 1% of a $10,000 account with a 10 pip stop loss, the tool will automatically calculate the correct lot size. Author: Sebastián Figueroa
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מאת ‎equipomase‎
CENTRAL Size CalculatorThis tool calculates position size based on account balance, risk percentage, stop loss in pips, and pip value. It is designed to help traders apply consistent risk management across different market conditions. Formula used: Position Size = Risk Amount / (Stop Loss × Pip Value) Example: If you risk 1% of a $10,000 account with a 10 pip stop loss, the tool will automatically calculate the correct lot size. Author: Sebastián Figueroa
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מאת ‎equipomase‎
Dual Structure BB Ribbon (HIGH + LOW 20,2)This indicator is made based on Straight Kim's strategy. Best used in confluence with something else, on this chart you see a green box that marks the first 1hr candle high and low on NY open on Nasdaq chart - one of the easiest to trade instruments. It is not included in the indicator, just draw it yourself. It gives you the range and the BB Ribbon gives you the direction. This works on any instrument, but beginners are recommended to start with more reliable markets, one of which is NASDAQ. The Ribbon is a structural visualization indicator that displays an advanced Bollinger Band configuration in ribbon form. Purpose: Merge complex Bollinger combinations into one visual structure Intuitively separate upside vs. downside pressure Easily recognize expansion and contraction Clearly visualize structural transition zones Green ribbon = buy position zones. Red ribbon = sell position zones. This indicator is not a prediction tool — it is a visualization tool to help you read market structure more easily. How to Use the Indicator (Trading Method) The Ribbon is not a standalone signal indicator. It must be used with higher-timeframe directional bias. Core Principles: Only consider buys at the green ribbon Only consider sells at the red ribbon Never enter opposite to the ribbon color ① Trend-Following Setup Check: 20 SMA slope (rising = uptrend, falling = downtrend), EMA slope alignment, ribbon expansion state Uptrend → Buy at the green ribbon zone Downtrend → Sell at the red ribbon zone Inflection (Reversal) Setup Conditions: Price touches outer ribbon edge, long-wick candle appears, ribbon width begins contracting Support confirmed at green ribbon bottom → Buy Resistance confirmed at red ribbon top → Sell Breakout Setup Conditions: Extreme ribbon contraction (squeeze), strong full-body candle, day high/low broken simultaneously Green ribbon expansion breakout → Buy Red ribbon expansion breakout → Sell Why Buy Is Based on High and Sell Is Based on Low Buy Ribbon → HIGH-based: High-based calculations react more sensitively to upward movement. Even during pullbacks in an uptrend, the upper structure zone is reached faster — capturing aggressive buy entries without missing the move. Sell Ribbon → LOW-based: Low-based calculations reflect downward movement more loosely. Even during bounces in a downtrend, price must rise further before reaching the structure zone — forming a more conservative, stable sell entry. 1. Why Use Buy & Sell Ribbons Traditional Bollinger Bands use a single center line with upper and lower bands. But in real markets, upward and downward pressure are not always equal. In a strong uptrend, price continuously breaks above the upper band. In a strong downtrend, price repeatedly pierces the lower band. Simply treating "band touch = reversal" has clear limitations. The Buy & Sell Ribbons are designed to clearly distinguish: Zones of structural upside dominance Zones of structural downside dominance Expansion vs. contraction states Trend continuation vs. potential inflection points The Ribbon is not a mean-reversion tool — it is a visual framework for reading market structure. Full information is publicly available here, together with the script: florentine-pangolin-353.notion.site
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מאת ‎duchess_von_cryptenstein‎
Mapa de Liquidaciones (OHLCV/Open Interest) MAPA DE LIQUIDACIONES Indicador overlay que estima zonas de liquidación de posiciones apalancadas (longs y shorts) mediante un mapa de calor. FUNCIONAMIENTO Calcula niveles teóricos por barra: Long → precio × (1 − 1/leverage) Short → precio × (1 + 1/leverage) El volumen u Open Interest se acumula en cada nivel, mostrando la densidad de posiciones en riesgo. DATOS Usa Open Interest real si está disponible Si no, utiliza volumen como aproximación Posibilidad de definir símbolo OI manual COLORES Verde → baja concentración Amarillo→ media Rojo → alta (nivel relevante) Cada lado (long/short) se normaliza de forma independiente. PARÁMETROS Apalancamientos: 10x, 25x, 50x, 100x Filas del mapa (resolución) Ancho (barras) Lookback histórico LIMITACIÓN Estimación basada en datos de TradingView. No usa liquidaciones reales de exchanges.
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מאת ‎Oberluz‎
TraxisLab - Confluence EngineTraxisLab — Confluence Engine TraxisLab Confluence Engine is an advanced smart money / order flow style indicator designed to combine multiple high-value market signals into one clear confluence framework. Instead of relying on a single trigger, this tool evaluates market structure, CVD-based pressure, delta divergence, VSA absorption/climax, liquidity sweeps, premium/discount zones, and Fair Value Gaps, then merges them into a dynamic bullish vs bearish confluence score. The goal is simple: help traders identify areas where several independent factors align and filter out weaker, low-quality setups. Key Features 1. Market Structure (BOS / CHoCH) Detects Break of Structure (BOS) and Change of Character (CHoCH) using pivot-based logic. Confirmed breaks can be filtered with CVD and volume validation to reduce false breakouts. 2. CVD / Delta Pressure Engine Builds an internal Cumulative Volume Delta (CVD) model from candle structure and volume distribution. This helps estimate whether aggressive buying or selling pressure is actually supporting price movement. 3. Delta Divergence Detection Highlights bullish and bearish divergences between price slope and CVD slope. Signals require confirmation across multiple bars and above-average volume, making them more selective. 4. VSA Absorption & Climax Detection Uses effort vs result logic to identify: Absorption: high effort, limited result Climax bars: high effort with expanded spread This helps spot potential exhaustion, hidden accumulation, or distribution. 5. Liquidity Sweep Recognition Detects sweep behavior around pivot highs and lows: Bullish sweep = downside liquidity taken, then reclaimed Bearish sweep = upside liquidity taken, then rejected Volume-enhanced sweeps are treated as higher quality signals. 6. Premium / Discount Zones After confirmed structural movement, the script projects premium, equilibrium, and discount zones based on the recent range. This adds context for whether price is trading in a favorable area for longs or shorts. 7. Fair Value Gap (FVG) Detection with Scoring Finds bullish and bearish Fair Value Gaps and assigns a score based on: Gap size Relative volume Location vs premium/discount Proximity to recent structure shift Only higher-quality FVGs above a user-defined threshold are displayed. 8. Confluence Scoring System The core of the indicator is a bullish and bearish confluence score (0–100). The score is built from multiple active components, including: Delta divergence BOS / CHoCH Absorption / climax Sweeps FVG proximity Premium / discount context Directional pressure This creates a more structured way to evaluate trade conditions instead of reacting to isolated signals. 9. Smart Labels and Tooltips When the confluence score reaches the selected threshold, the script prints a signal label directly on the chart. Tooltips explain why the setup triggered by listing the active reasons behind the score. 10. Dashboard + Alerts Includes a compact dashboard showing the current state of: Bullish / bearish confluence Market structure Pressure Divergence VSA status Zone location Active FVGs Sweeps Built-in alert conditions are available for: Long / Short confluence Strong Long / Strong Short Divergences Sweeps CHoCH events Absorption Best Use Cases This indicator is especially useful for traders who focus on: Smart Money Concepts (SMC) Market structure trading Liquidity-based entries Volume / delta confirmation Intraday and swing confluence analysis It works best as a decision-support tool, helping confirm context and setup quality rather than acting as a standalone “buy/sell button.” Notes The script uses an estimated internal delta model, not true bid/ask footprint data. Signals are based on confluence logic and should always be used together with your own market reading and risk management. Lower timeframes may produce more signals, while higher timeframes may provide cleaner structure. Summary TraxisLab Confluence Engine is built for traders who want more than single-condition indicators. It combines structure, pressure, liquidity, imbalance, and effort/result concepts into one actionable framework to highlight areas where multiple market factors align.
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מאת ‎TraxisLab‎