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POC Ghost LevelsPOC Ghost Levels Disclaimer IMPORTANT: This indicator is for educational and informational purposes only. It is NOT investment advice, financial advice, trading advice, or a recommendation to buy or sell any security or financial instrument. Overview Point of Control (POC) represents the price level with the highest traded volume within a period, developed by J. Peter Steidlmayer at the Chicago Board of Trade (1981-1983). POC shows where institutional traders accumulated their largest positions, acting as strong support/resistance because institutions defend these levels. Visual Elements POC Lines (Horizontal): Teal/green lines show active POCs; orange lines indicate mitigated (revisited) levels. The line shows institutional accumulation zones. "✕" Symbol (Period End): Marks when the calculation period ends (daily/weekly/monthly/yearly). POCs become valid trading reference points only after period completion—the X confirms this transition. "●" Dot (Mitigation Point): Appears when price retests a POC level (High ≥ POC ≥ Low, or close within 10% of bar range). Virgin POCs (VPCs)—POCs not yet revisited—are even stronger price attractors than regular POCs, acting like gravitational pull that increases as price approaches. "Ghost Effect": Extended lines represent market memory. POCs act as magnets where price gravitates toward in the future, representing "fair price" where most volume traded. Trading Theory All markets are auction processes seeking to maximize volume. Volume is the truest indicator of the market's ability to facilitate trade. Markets not facilitating trade at a given price will move to levels that better facilitate trade. Big institutions cannot enter positions instantly—they accumulate over time. POCs reveal where these positions formed. Trade the first POC test for highest probability success. In trending markets, POCs confirm trend legs; in ranging markets, POCs act as central magnets. Key Literature Steidlmayer, J.P. & Hawkins, S.B. (2003). Steidlmayer on Markets: Trading with Market Profile (2nd ed.). Wiley. Dalton, J.F., Jones, E.T., & Dalton, R.B. (2012). Mind Over Markets: Power Trading with Market Generated Information. Wiley. Dalton, J.F., Dalton, R.B., & Jones, E.T. (2007). Markets in Profile: Profiting from the Auction Process. Wiley. Jardine, M. (2012). Just a Trade a Day: Simple Ways to Profit from Predictable Market Moves. Wiley Trading.
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meddymarkusvanhala tarafından
WMTSTRATEGY - SMC and EMA9 EMA: An indicator for short-term momentum The 9-period Exponential Moving Average (EMA) is a line on a price chart that tracks the average price over the last nine periods, giving more weight to the most recent data. This makes it more responsive to new price changes than a Simple Moving Average (SMA), which weights all periods equally. How it's used: Identifies short-term trends: When the price stays consistently above the 9 EMA, it suggests an uptrend. When it stays below, it suggests a downtrend. Provides dynamic support and resistance: In an uptrend, the price often bounces off the 9 EMA, which acts as a support level. In a downtrend, it acts as resistance. Generates buy and sell signals: Traders may use price crossing above the 9 EMA as a potential buy signal, and crossing below as a potential sell signal. SMC: A methodology for institutional analysis Smart Money Concepts (SMC) is a price action-based trading methodology focused on identifying where institutional "smart money" is entering and exiting the market. It relies on concepts like market structure, order blocks, liquidity grabs, and imbalances to predict market direction, in contrast to traditional retail trading methods. Key concepts within SMC: Order Blocks: These are specific candle formations that signify institutional accumulation or distribution and are considered high-probability reversal or continuation zones. Liquidity Grabs (or Sweeps): The process where institutional traders push the price past a clear high or low to trigger retail traders' stop-loss orders and enter their own positions in the opposite direction. Market Structure: Analyzing the sequence of higher highs/higher lows (for an uptrend) or lower lows/lower highs (for a downtrend) to determine the overall market direction. The synergy of 9 EMA and SMC By combining the 9 EMA with SMC, traders can filter out low-quality signals and improve the precision of their entries and exits. Strategy example: Identify the SMC zone: Use SMC analysis to identify a high-probability demand zone (for a long trade) or supply zone (for a short trade). This zone acts as your area of interest for a potential entry. Wait for price to enter the zone: Wait for the price to retrace into your identified SMC zone. Confirm the signal with the 9 EMA: On a lower timeframe, wait for the price to cross and close above the 9 EMA (in a demand zone) or below the 9 EMA (in a supply zone). This cross serves as a precise entry trigger, confirming that short-term momentum is shifting in your favor within the high-probability institutional zone. How this combination adds value: Filters false signals: SMC helps avoid trading every 9 EMA crossover by only focusing on those that occur within a high-probability institutional zone. Improves timing: The 9 EMA provides a sensitive entry trigger, preventing premature entries and getting you into a trade as momentum confirms the SMC-identified area of interest. Boosts confidence: Entering a trade where both institutional footprints (SMC) and short-term momentum (9 EMA) align provides a higher-conviction setup.
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worldmosttrader tarafından
Elephant Zones Pro v5.6.3Elephant Zones Pro v5.6.3 is a precision-engineered trading indicator designed to identify high-probability buy and sell signals by analyzing demand and supply zones. It dynamically highlights high-volume candles that align with institutional activity, helping traders visualize key market turning points. With its refined zone logic and real-time signal alerts, Elephant Zones Pro empowers traders to act decisively and confidently. Best timeframe to use this indicator is 5 minutes.
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ZoneTraderKarthik tarafından
5
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail. 🟠 CONCEPTS The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as: Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution) Retail — volume closing at bar extremes (suggesting chase entries or panic exits) When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume. 🟠 FEATURES Classifies flows into Smart Money or Retail based on candle-body context. Displays live P/L comparison table for Smart vs Retail performance. Alerts for each detected Smart or Retail buy/sell event. 🟠 USAGE Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level. Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price. See what others are doing : Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
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AlgoAlpha tarafından
32
SWR Label SystemSWR Label System -- Sweep · Wait · Reclaim The SWR Label System is a visual trading companion built to highlight liquidity events and institutional reactions in real time. It automatically detects: • 🌀 Sweep – liquidity grabs beyond recent highs or lows • 🔁 Reclaim – price closing back across the swept level • 🔊 Volume Spike – significant surges beyond average activity When all three align, the script plots 🚀 SWR Long or 🔻 SWR Short labels with default 2:1 risk-to-reward targets for rapid evaluation. Each label includes Entry, Take Profit, and Stop Loss values (Entry ± 2% / 1% by default). These defaults are for illustration only -- it’s best to adapt TP / SL levels to recent structure, highs, and lows for precision risk management. Optional toggles allow you to show or hide sweep, reclaim, and volume markers individually, plus a cooldown feature to reduce signal clutter. ⚠️ Educational use only -- not financial advice. Always confirm structure, volume, and context before trading live funds.
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danieljaygruver tarafından
Robirop Float & Liquidity Dashboard 3Suomi — tiivistelmä Taulukko, joka näyttää keskeiset float- ja likviditeettimittarit intrapäivässä ja päivätasolla. Sisältö: Market Cap, All Shares, Free Float (kpl), Free Float %, Float Rotation (päivän kum. vol / free float), Day Change (% eilisen closesta), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol. Asetukset: taulukon sijainti, koko ja värit. LoD-kentät voi kytkeä päälle/pois. ADR ja Proj. Vol ovat oletuksena pois. Huom: Day Change vertaa aina nykyhintaa edellisen regular session -closeen; Market Cap käyttää ensin financial-dataa, muuten (All Shares × daily close). English — summary A compact table showing core float & liquidity metrics for intraday and daily context. Includes: Market Cap, All Shares, Free Float (shares), Free Float %, Float Rotation (day cumulative vol / free float), Day Change (% vs prior close), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol. Options: table position, size, colors. LoD fields can be toggled on/off. ADR and Projected Volume are OFF by default. Note: Day Change compares current price to the previous regular-session close; Market Cap uses financial data first, otherwise (All Shares × daily close).
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Robirop tarafından
Adaptive Volume Delta Map--- 📊 Adaptive Volume Delta Map (AVDM) What is Adaptive Volume Delta Map (AVDM)? The Adaptive Volume Delta Map (AVDM) is a smart, multi-timeframe indicator that visualizes buy and sell volume imbalances directly on the chart. It adapts automatically to the best available data resolution (tick, second, minute, or daily), allowing traders to analyze market activity with micro-level precision . In addition to calculating volume delta (the difference between buying and selling pressure), AVDM can display a Volume Distribution Map — a per-price-level visualization showing how volume is split between buyers and sellers. Key Features ✅ Adaptive Resolution Selection — Automatically chooses the highest possible data granularity — from tick to daily timeframe. ✅ Volume Delta Visualization — Displays delta candles reflecting the dominance of buyers (green), sellers (red), and delta (orange). ✅ Per-Level Volume Map (optional) — Shows detailed buy/sell volume distribution per price level, grouped by `Ticks Per Row`. ✅ Bid/Ask Classification — When enabled, AVDM uses bid/ask logic to classify trade direction with greater accuracy. ✅ Smart Auto-Disable Protection — Automatically disables volume map if too many price levels (>50) are detected — preventing performance degradation. Inputs Overview Use Seconds Resolution — Enables use of second-level data (if your TradingView subscription allows it). Use Tick Resolution — Enables tick-based analysis for the most detailed view. If available, enable both tick and seconds resolution. Use Bid/Ask Calculated — Uses bid/ask midpoint logic to classify trades. Show Volume Distribution — Toggles per-price-level buy/sell volume visualization. Ticks Per Row — Controls how many ticks are grouped per volume level. Reduce this value for finer detail, or increase it to reduce visual load. Calculated Bars — Sets how many historical bars the indicator should process. Higher value increases accuracy but may impact performance. How to Use 1. Add the indicator to your chart. 2. Ensure that your symbol provides volume data (and preferably tick or second-level data). 3. The indicator will automatically select the optimal timeframe for detailed calculation. 4. If your TradingView subscription allows second-level data , enable “Use Seconds Resolution.” 5. If your subscription allows tick-level data , enable both “Use Tick Resolution” and “Use Seconds Resolution.” 6. Adjust the “Calculated Bars” input to set how many historical bars the indicator should process. 7. Observe the Volume Delta Candles : * Green = Buy pressure dominates * Red = Sell pressure dominates 8. To see buy/sell clustering by price, enable “Show Volume Distribution.” 9. If the indicator disables the map and shows: " Volume Distribution disabled: Too many price levels detected (>50). Try decreasing 'Ticks Per Row' or using a lower chart resolution. If you don’t care about the map, just turn off 'Show Volume Distribution'. " — follow the instructions to reduce chart load. Notes * Automatically adapts to your chart’s resolution and data availability. * If your symbol doesn’t provide volume data, a runtime warning will appear. * Works best on futures , FX , and crypto instruments with high-frequency volume streams. Why Traders Love It AVDM combines adaptive resolution , volume delta analysis , and visual distribution mapping into one clean, efficient tool. Perfect for traders studying: * Market microstructure * Aggressive vs. passive participation * Volume absorption * Order flow imbalance zones * Delta-based divergence signals Technical Highlights * Built with Pine Script v6 * Adaptive resolution logic (`security_lower_tf`) * Smart memory-safe map rendering * Dynamic bid/ask classification * Automatic overload protection ---
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dboichenko tarafından
LSVR - Liquidity Sweep & Volume ReversalLSVR condenses a pro workflow into one visual overlay: Higher-Timeframe (HTF) Trend → Liquidity Sweep & Reclaim → Volume Confirmation. A signal only prints when all three gates align at bar close, and the chart shows everything you need—trend context, the sweep “trap” candle, and a projected Entry/SL/TP based on your chosen R multiple. How it works HTF Trend Filter: Projects a smoothed KAMA/EMA from a higher timeframe to the chart using a safe, lookahead-off request. Long signals are considered only above the HTF line; shorts only below. Liquidity Sweep & Reclaim: Finds confirmed swing highs/lows, then detects an ATR-scaled overshoot through that swing followed by a reclaim (close back inside a configurable % of the bar range). Volume Confirmation: Requires either a volume spike over Volume SMA × multiplier or optional OBV divergence. No participation = no signal. Score: Each setup is scored: trend (0/1) + overshoot strength (0..1.5) + conviction (0/1). Signals fire only when the score ≥ Min Signal Score. What you see HTF Ribbon (subtle green/red backdrop) for bias. Sweep Box on the signal candle (green = long, red = short). Signal markers (“L” / “S”) with a small score label. Projected lines that persist until the next signal: Entry (close), Stop (beyond swept swing), Target (R multiple). Heatmap that intensifies when the score crosses your threshold. Dashboard (top-right): HTF direction, Volume×SMA, current Score, gate pass status. Tooltip on the last bar with quick stats. Quick start Apply to any liquid symbol and set HTF to ~3–6× your chart timeframe (e.g., 15m chart → 1H–4H). Trade with the HTF trend: take L signals above the HTF line and S signals below it. Entry = signal bar close, SL = beyond the swept swing, TP = your Projected Take-Profit (R). Tighten or loosen selectivity with Min Signal Score, Reclaim %, Overshoot (ATR×), and Cooldown. Recommended presets Choppy/crypto 15m: minScore 1.25, reclaimPct 0.60–0.65, overshootATR 1.0–1.2, useOBVDiv=false, cooldown 8. FX 5m / session trend: minScore 1.0–1.1, reclaimPct 0.50–0.55, overshootATR 0.8–1.0, useOBVDiv=true, cooldown 5. Indices 1m (RTH): minScore 1.2, reclaimPct 0.55–0.60, useOBVDiv=false, cooldown 10. Non-repainting by design HTF values use lookahead_off with realtime offset. Swings are confirmed pivots (no “forming” pivots). Signals print at bar close only. Notes OBV divergence can add sensitivity on liquid markets; keep it off for stricter filtering. Use Cooldown to avoid clustered sweeps. This is an overlay/analysis tool, not financial advice. Test settings in Replay/Paper Trading before using live.
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Finntech1 tarafından
Cantana Algo | ES - NQ - YMCantana Algo | CME_MINI:ES1! CME_MINI:NQ1! CBOT_MINI:YM1! Cantana Algo is a market structure and volume analysis tool for the S&P 500 (ES), Nasdaq 100 (NQ), and Dow Jones (YM) futures. It combines POE boxes, multi-VWAP analysis, volatility profiling, and a compact info panel to provide a clear and structured market overview. 🔹 Key Features Dynamic POE Boxes – automatically highlight relevant price areas. POE Breaks & Retest Attention on the 70% Value Area – informs the user that a manually drawn Fixed Volume Profile is recommended to monitor price action around the 70% Value Area. Multi-VWAP Framework – session, weekly, and monthly VWAPs with tolerance bands for bias detection. Daily & Weekly Bias Detection – color-coded overview for quick orientation. Volatility Analysis – displays minimum, maximum, average, and quartile statistics of current market volatility. Alert on Volatility Reversal – optional alert triggers when the market drops back below the average ATR after a period of high volatility. Works with any alert function call. Risk-On / Risk-Off Dashboard – provides a high-level market view, showing overall risk sentiment based on Gold, S&P, and Dollar Index. ⚙️ Customizable Info and statistics panels can be freely positioned. Modules (Market Profile / Volume Profile / tables) can be toggled individually. Alerts can be activated according to user preference. 📜 Note The script does not draw a Fixed Volume Profile – the “Retest Attention on 70% VA” message serves solely as a reminder for the user to manually add a profile in order to detect setups based on the Value Area. Additionally, this script only works on the 1-minute timeframe (1M). This script is currently available for free. It may become a paid version in the future. ⚠️ Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice, a trading strategy, or a recommendation to buy or sell any financial instrument. All decisions based on this script are solely the responsibility of the user. Trading involves risks, including the potential loss of invested capital.
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CantanaTrading tarafından
Smooth Cloud Trend Filter (20/50 EMA)The Smooth Cloud indicator visualizes market trend direction using two Exponential Moving Averages (EMAs): a Fast EMA (20-period) and a Slow EMA (50-period). The area between these averages forms a shaded cloud that changes color according to the trend bias: 🟢 Green Cloud: Fast EMA is above the Slow EMA → Bullish trend. 🔴 Red Cloud: Fast EMA is below the Slow EMA → Bearish trend. On this chart, the cloud remains green for most of the period, reflecting a strong and persistent uptrend. During minor pullbacks, the transitions stay smooth, showing that the trend filter reacts steadily without excessive noise. Price action consistently holds above the cloud from late September through early October, indicating sustained buyer control and bullish momentum. This view focuses solely on the trend structure provided by the Smooth Cloud. While other modules of the full system (such as the RSI Liquidity Spectrum and Zig Zag++ Volume Profile) add momentum and liquidity context, the Smooth Cloud alone highlights clear directional bias and trend strength. When the price trades above a green cloud, traders often look for long opportunities on pullbacks or RSI confirmations. A red cloud flip would signal a possible trend reversal or weakening momentum, suggesting short setups instead. The thickness of the cloud also offers visual insight — thicker clouds indicate stronger trend momentum, while thinner ones suggest consolidation or indecision.
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Jaxon007 tarafından
NeuroRDI_ZOverview neurordi_z visualizes Gamma Push (support) and Gamma Resistance zones derived from options-market positioning. The script plots colored rectangles at user-defined price levels to highlight areas where market maker hedging can create directional pressure, absorption, or potential reversals. What it draws Gamma Flip (GF) — A horizontal purple line at the user’s flip level. Gamma Push (ZE) — Purple zones extending to the right of the current bar. Intended as positive-gamma support/absorption areas. Gamma Resistance (ZR) — Yellow zones extending to the left of the current bar. Intended as negative-gamma resistance/supply areas. Inputs ZE1, ZE2, ZE3: up to three Gamma Push levels (center price per zone). ZR1, ZR2, ZR3: up to three Gamma Resistance levels (center price per zone). Gamma Flip (level): the expected sign-change (gamma flip) level. Zone thickness (percent): default 0.02% of price (applied symmetrically above/below each level; internally clamped to a minimum based on syminfo.mintick). Colors / border: ZE (purple), ZR (yellow); optional border styling. Design details Zones are drawn as price rectangles anchored at each level; ZE projects forward (right), ZR backward (left). By design, each rectangle extends 50 bars on its side (observing TradingView’s ±500 bar drawing limit). The thickness is percentage-based by default so zones scale appropriately across low- and high-priced instruments. Recommended workflow Prior to the session (e.g., pre-market), determine ZE/ZR and the Gamma Flip from your preferred data source or methodology. Enter ZE1–ZE3 / ZR1–ZR3 and the flip level in the settings. Use the zones as a structural map for liquidity, absorption, and potential reaction areas through the session. Works well on indices and ETFs such as SPX, SPY, QQQ, but can be applied to any symbol. Notes & limitations neurordi_z does not fetch or compute gamma data automatically; levels are user-supplied. This tool is for market structure visualization only and is not investment advice. Short summary (≤200 chars) Visualizes user-defined Gamma Push (support) and Gamma Resistance zones, plus a Gamma Flip line. Percent-based thickness (0.02% default). Designed for SPX/SPY/QQQ and any symbol.
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Neurorandy tarafından
ZTCRYPTOLAB - SMRT PRICE ACTION • Overlay • Multi-tool Price Action suite A compact, all-in-one price-action assistant that fuses signal generation, dynamic TP/SL visualization, market-structure mapping (internal & external), tight volumetric order blocks with metrics, HTF fair value gaps, MTF previous highs/lows with equilibrium, optional candle/bar coloring. What it does Signal Engine (AI FIlter) Triggers by Flip (trend reversal). Signal tiers: Normal vs Strong (strong = alignment with 200-EMA). Optional bar coloring and marker style (triangles or labels). Dynamic TP/SL + Floating Position Tool Updating Based of AI Filter On each valid buy/sell, the tool locks entry and builds ATR-based SL/TP1–TP3. Visual profit/risk boxes update each bar; right-side badges show live prices (ENTRY, SL, TP1/2/3). Market Structure: Dual streams: Internal (solid) and External (dashed/“+”). Detects CHoCH, BOS, BoS+ with contextual lines/labels. Liquidity sweeps (optional) mark failed breaks with dotted “x”. Swing labels for HH/HL/LL/LH plus Equilibrium line between last HTF swing H/L (with distance % readout). Tight Volumetric Order Blocks Compact OB zones with Body/Wick/Mid/HL2 bounds; Middle or Absolute mitigation logic. Overlap control (hide vs recent/previous), and auto-cleanup of opposite overlaps. Internal metrics: per-box buy/sell “votes”, cumulative volume, and % of total volume for visible OBs. Right extension configurable. Prev Period H/L (MTF) Prior Day / Week / Month / Year highs & lows with user styles. HTF Fair Value Gaps: Detects HTF FVGs (user TF) without lookahead and projects them to chart TF. Shrink-on-close (keeps remainder) and delete-on-fill behavior. Extension modes: Extend, Cap N Bars, or None. Optional internal “FVG” label with fade control and separate bull/bear styling. Automatic trimming to keep only the N most recent boxes. Inputs (highlights) Signals Signal Mode: All / Normal / Strong TP/SL AI POSITION TOOL Enable, R/R (for SL & TP1–TP3) Show/Hide Position tool if you want Market Structure native. How to use Price and TV Position Tool will display once Trend Reversal is confirmed and will Dynamically show Position and update per bar. Choose signal strictness: Strong confines longs above 200-EMA (shorts below), Normal allows earlier entries. Visual trade planning: Enable Position Tool for instant entry/SL/TP scaffolding sized by RR. Adjust RR Multiplier to match pair/volatility. Read the structure map: Internal stream for near-term intent; External for higher-order breaks. Watch CHoCH → BOS → BoS+ progressions. Work OB + FVG confluence: Tight OBs (with internal buy/sell votes) + HTF FVG remnants often frame high-quality retests. Context with MTF H/L & Equilibrium: Premium/discount zones and midline % distance help avoid chasing. Notes & Tips This tool is non-repainting for plotted confirmations (HTF requests use looka head_off), but any live bar is inherently provisional until close. OB mitigation/invalidations can be set to require close or allow wick touches via mitigation settings. For strictness, combine MA filter + Strong signals and favor entries near OB/FVG confluence in discount (for longs) or premium (for shorts). Disclaimer For educational purposes only. Not financial advice. Past performance does not guarantee future results. Always test on a demo and manage risk.
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ZTCRYPTOLAB tarafından
US Opening 5-Minute Candle HighlighterUS Opening 5-Minute Candle Highlighter — True RVOL (Two-Tier + Label) What it does (in plain English) This indicator finds the first 5-minute bar of the US cash session (09:30–09:35 ET) and highlights it when the candle has the specific “strong open” look you want: Opens near the low of its own range, and Closes near the high of its own range, and Has a decisive real body (not a wick-y doji), and (Optionally) is a green candle, and Meets a TRUE opening-bar RVOL filter (compares today’s 09:30–09:35 volume only to prior sessions’ 09:30–09:35 volumes). You get two visual intensities based on opening RVOL: Tier-1 (≥ threshold 1, default 1.0×) → light green highlight + lime arrow Tier-2 (≥ threshold 2, default 1.5×) → darker green highlight + green arrow An RVOL label (e.g., RVOL 1.84x) can be shown above or below the opening bar. Designed for 5-minute charts. On other timeframes the “opening bar” will be the bar that starts at 09:30 on that timeframe (e.g., 15-minute 09:30–09:45). For best results keep the chart on 5m. How the pattern is defined For the opening 5-minute bar, we compute: Range = high − low Body = |close − open| Then we measure where the open and close sit within the bar’s own range on a 0→1 scale: 0 means exactly at the low 1 means exactly at the high Using two quantiles: Open ≤ position in range (0–1) (default 0.20) Example: 0.20 means “open must be in the lowest 20% of the bar’s range.” Close ≥ position in range (0–1) (default 0.80) Example: 0.80 means “close must be in the top 20% of the bar’s range.” This keeps the logic range-normalized so it adapts across different tickers and vol regimes (you’re not using fixed cents or % of price). Body ≥ fraction of range (0–1) (default 0.55) Requires the real body to be at least that fraction of the total range. 0.55 = body fills ≥ 55% of the candle. Purpose: filter out indecisive, wick-heavy bars. Raise to 0.7–0.8 for only the fattest thrusts; lower to 0.3–0.4 to admit more bars. Require green candle? (default ON) If ON, close > open must be true. Turn OFF if you also want to catch strong red opens for shorts. Minimum range (ticks) Ignore tiny, illiquid opens: e.g., set to 2–5 ticks to suppress micro bars. TRUE Opening-Bar RVOL (why it’s “true”) Most “RVOL” compares against any recent bars, which isn’t fair at the open. This indicator calculates only against prior opening bars: At 09:30–09:35 ET, take today’s opening 5-minute volume. Compare it to the average of the last N sessions’ opening 5-minute volumes. RVOL = today_open_volume / average_prior_open_volumes. So: 1.0× = equal to average prior opens. 1.5× = 150% of average prior opens. 2.0× = double the typical opening participation. A minimum prior samples guard (default 10) ensures you don’t judge with too little history. Until enough samples exist, the RVOL gate won’t pass (you can disable RVOL temporarily if needed). Visuals & tiers Light green highlight + lime arrow → price filters pass and RVOL ≥ Tier-1 (default 1.0×) Dark green highlight + green arrow → price filters pass and RVOL ≥ Tier-2 (default 1.5×) Optional bar paint in matching green tones for extra visibility. Optional RVOL label (e.g., RVOL 1.84x) above or below the opening bar. You can show the label only when the candle qualifies, or on every open. Inputs (step-by-step) Price-action filters Open ≤ position in range (0–1): default 0.20. Smaller = stricter (must open nearer the low). Close ≥ position in range (0–1): default 0.80. Larger = stricter (must close nearer the high). Body ≥ fraction of range (0–1): default 0.55. Raise to demand a “fatter” body. Require green candle?: default ON. Turn OFF to also mark bearish thrusts. Minimum range (ticks): default 0. Set to 2–5 for liquid mid/large caps. Time settings Timezone: default America/New_York. Leave as is for US equities. Start hour / minute: defaults 09:30. The bar that starts at this time is evaluated. TRUE Opening-Bar RVOL (two-tier) Require TRUE opening-bar RVOL?: ON = must pass Tier-1 to highlight; OFF = price filters alone can highlight (still shows Tier-2 when hit). RVOL lookback (prior opens count): default 20. How many prior openings to average. Min prior opens required: default 10. Warm-up guard. Tier-1 RVOL threshold (× avg): default 1.00× (light green). Tier-2 RVOL threshold (× avg): default 1.50× (dark green). Display Also paint candle body?: OFF by default. Turn ON for instant visibility on a chart wall. Arrow size: tiny/small/normal/large. Light/Dark opacity: tune highlight strength. Show RVOL label?: ON/OFF. Show label only when candle qualifies?: ON by default; OFF to see RVOL every open. Label position: Above candle or Below candle. Label size: tiny/small/normal/large. How to use (quick start) Apply to a 5-minute chart. Keep defaults: Open ≤ 0.20, Close ≥ 0.80, Body ≥ 0.55, Require green ON. Turn RVOL required ON, with Tier-1 = 1.0×, Tier-2 = 1.5×, Lookback = 20, Min prior = 10. Optional: enable Paint bar and set Arrow size = large for monitor-wall visibility. Optional: show RVOL label below the bar to keep wicks clean. Interpretation: Dark green = A+ opening thrust with strong participation (≥ Tier-2). Light green = Valid opening thrust with at least average participation (≥ Tier-1). No highlight = one or more filters failed (quantiles, body, green, range, or RVOL if required). Alerts Two alert conditions are included: Opening 5m Match — Tier-2 RVOL → fires when the opening candle passes price filters and RVOL ≥ Tier-2. Opening 5m Match — Tier-1 RVOL → fires when the opening candle passes price filters and RVOL ≥ Tier-1 (but < Tier-2). Recommended alert settings Condition: choose the script + desired tier. Options: Once Per Bar Close (you want the confirmed 09:30–09:35 bar). Set your watchlist to symbols of interest (themes/sectors) and let the alerts pull you to the right charts. Recommended starting values Quantiles: Open ≤ 0.20, Close ≥ 0.80 Body fraction: 0.55 Require green: ON RVOL: Required ON, Tier-1 = 1.0×, Tier-2 = 1.5×, Lookback 20, Min prior 10 Display: Paint bar ON, Arrow large, Label ON, Below candle Tune tighter for A-plus selectivity: Open ≤ 0.15, Close ≥ 0.85, Body ≥ 0.65, Tier-2 2.0×. Notes, tips & limitations 5-minute timeframe is the intended use. On higher TFs, the 09:30 bar spans more than 5 minutes; geometry may not reflect the first 5 minutes alone. RTH only: The opening detection looks at the clock (09:30 ET). Pre-market bars are ignored for the signal and for RVOL history. Warm-up period: Until you have Min prior opens required samples, the RVOL gate won’t pass. You can temporarily toggle RVOL off. DST & timezone: Leave timezone on America/New_York for US equities. If you trade non-US exchanges, set the appropriate TZ and opening time. Illiquid tickers: Use Minimum range (ticks) and require RVOL to reduce noise. No strategy orders: This is a visual/alert tool. Combine with your execution and risk plan. Why this is useful on multi-monitor setups Instant pattern recognition: the two-shade green makes A vs A+ opens pop at a glance. Adaptive thresholds: quantiles & body are within-bar, so it works across $5 and $500 names. Fair volume test: TRUE opening RVOL avoids comparing to pre-market or midday bars. Optional labels: glanceable RVOL x-value helps triage the strongest themes quickly.
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