VIBGYOR Volume (Compact Label)
This indicator enhances standard volume bars by applying a VIBGYOR color intensity scheme to highlight meaningful changes in market participation.
🔹 Key Features
Volume Intensity Coloring
Rising volume → Indigo → Blue → Green (increasing strength).
Falling volume → Yellow → Orange → Red (weakening participation).
Neutral → Grey (close to baseline).
Customizable Thresholds
Set independent Step Up % and Step Down % to control when the color shifts to the next level.
Example: Step Up = 20% (catch spikes faster), Step Down = 40% (less noise on drying volume).
Compact Labels
A tiny label appears only when the tier changes, showing % deviation with an arrow (↑ / ↓) or dot (·).
Keeps the chart clean while still drawing attention to important shifts.
Baseline Options
Choose SMA, EMA, or Previous Bar as the reference volume baseline.
Optionally use Volume × ATR for “true participation” intensity.
🔹 Use Cases
Confirm breakouts with strong participation (Blue → Green).
Spot rallies on weakening volume (Orange → Red).
Quickly see if current volume is just noise or meaningful.
Hacim
Volume Surge Highlighter by Avinash VRThis indicator displays volume bars with custom colors based on comparison to the moving average of volume.
Red bars highlight high volume (above average), indicating strong market interest.
Grey bars indicate normal volume (below average).
It helps traders visually detect volume surges and potential breakouts or reversals in the market.
Riz Goldbach FrameworkRiz Goldbach Framework maps a dynamic dealing range and a set of Goldbach-derived price levels to structure intraday decision-making. It blends range math (PO3), level clustering, session weighting, volume/volatility context, and an explainable scoring engine that can issue BUY/SELL signals with risk levels (SL/TP). It is designed for discretionary traders who want rules-based context rather than a black box.
Core concepts (how it works)
1) PO3 Dealing-Range Engine
⦁ The script builds a tri-based PO3 range around current price (Auto or Manual).
⦁ It shifts the range when price “accepts” outside (close/wick—user selectable) and adapts width with ATR so the range expands in high volatility and tightens in low volatility.
⦁ From this range it computes mid, premium/discount halves, and sub-mids.
2) Goldbach Levels (structure map)
Within the active PO3 range, fixed percentages anchor recurring behaviors:
⦁ Rejection edges: 3%, 97%
⦁ Order-block tendency: 11%, 89%
⦁ FVG tendency: 17%, 83%
⦁ Liquidity void / expansion: 29%, 71%
⦁ Breaker band: 41%, 59%
⦁ Mitigation band: 47%, 53%
⦁ Equilibrium: 50%
⦁ Touch/near logic is tolerance-based (body-only optional). The script also counts confluence clusters (2=moderate, 3+=strong) near price.
3) Market elements the script tracks
⦁ Order Blocks (OB): detected after BOS behavior when price is sitting on OB-biased GB levels (11/89).
⦁ FVG: 3-bar gaps at FVG-biased levels (17/83) with optional “% fill” confirmation.
⦁ LV bars: wide-range, high-range bars around 29/71 for displacement/voids.
⦁ Equal Highs/Lows (EQH/EQL): tolerance with labeling for sweep risk.
⦁ Circuit Breaker (CB): zone seeded at 41/59. States: intact → broken → retest → revalidated/failed. A shaded band shows the active breaker zone.
⦁ Twin Towers (TT): equal-high/equal-low doublet with spacing/volume/RSI checks, then sweep-and-return into the breaker zone for confirmation.
4) Context & filters
⦁ Trend vs Range: DMI/ADX + EMA stack infer TREND/RANGE/TRANSITION and scale the required score.
⦁ MTF alignment: compares current PO3 halves vs HTF PO3 halves (user timeframe), rewarding alignment and flagging divergence.
⦁ Fib–Goldbach confluence: checks 61.8/38.2/78.6/127.2/161.8 against key GB levels for added weight.
⦁ Session weighting: Asia/London/NY bias different GB levels; weights are higher for London/NY.
⦁ Volume-weighted liquidity: tracks volume at EQH/EQL to flag “high-commitment” sweeps.
⦁ AMD cycle (smart): accumulation/manipulation/distribution estimated from ATR regimes, sweeps, BOS continuation, divergence and PO3 shifts.
⦁ Optional filters: HTF bias, SMT divergence via a second symbol, VSA volume emphasis, news blackout session.
5) Signal engine
⦁ Modes: MMxM, Trending, or Hybrid (auto switches depending on CB acceptance + ATR expansion).
⦁ A score (0–100) aggregates weighted conditions (GB touch/confluence, AMD alignment, CB state, TT, FVG/OB interaction, HTF bias, SMT, high-volume, RSI momentum).
⦁ Adaptive threshold raises/lowers requirements in TREND vs RANGE.
⦁ Outputs: BUY/SELL label with strength (WEAK/NORMAL/STRONG), a reasons string (e.g., GB+AMD+Breaker+TT+FVG+HTF+RSI), and risk levels:
⦁ SL: rejection/structure anchored (e.g., GB3/GB97 or recent swing ± ATR).
⦁ TP1: opposite breaker (41/59).
⦁ TP2: opposite FVG tendency (17/83).
⦁ Live RR displayed on label and plotted as dashed lines.
⦁ Cooldown, session/time, weekend, and volatility gates suppress poor-quality or clustered signals.
What you see on the chart
⦁ PO3 bands: High/Low/Mid lines plus background shading for Premium (bear tint), Discount (bull tint), Equilibrium (neutral).
⦁ Goldbach lines: Major structure (0/50/100) plus the functional GB set (11/17/29/41/47/53/59/71/83/89/3/97).
⦁ Blocks & gaps: OB lines, FVG boxes (extend right, fill progress), LV box, breaker zone band, and TT logic states.
⦁ CE/MT: Central equilibrium (~3.5%/96.5%) and mid-towers (25%/75%) trigger optional alerts.
⦁ Session overlays: Asia/London/NY (optional).
⦁ Opens: Daily/Weekly (optional).
⦁ Dashboard: PO3 value, Zone (Premium/Discount/Equilibrium), AMD phase, Session, Mode (MMxM/Trending/Hybrid), CB state, nearest GB tag, Market context (TREND/RANGE/TRANS), recent Events, and rolling win-rate tallies (signals/CB/TT) from the current chart session.
How to use it (workflow)
1. Pick a preset
⦁ Minimal: only core structure.
⦁ Standard: levels + dashboard.
⦁ Full: adds sessions + GBT window overlays.
2. Choose range logic
⦁ PO3 Auto is reactive and scales with ATR.
⦁ Manual PO3 is for precise range control.
3. Scope your bias
⦁ Confirm Zone (Premium/Discount), CB state, and AMD phase; check MTF row if enabled.
⦁ Strong setups usually appear when session-weighted GB levels + confluence ≥ 2 + CB revalidated + AMD = manipulation → distribution (short) or accumulation → manipulation (long).
4. Act on signals (optional)
⦁ When a label prints, read the factors string and score.
⦁ Use plotted SL/TP1/TP2 lines and RR.
⦁ Respect cooldown, news blackout, and volatility filter.
Inputs you might tweak
⦁ PO3: Auto/Manual, acceptance by Close vs Wick, adaptive widening/tightening.
⦁ Levels: Major-only vs All; tolerance %; wick vs body touches.
⦁ Signals: Mode, score threshold, cooldown, confirm on close.
⦁ CB/TT: breaker width %, spacing window & tolerance, suppress bars after TT.
⦁ Filters: HTF timeframe, SMT symbol, VSA on/off, news blackout session.
⦁ Visuals: colors, line opacity, label sizes, dashboard position/size.
⦁ FVG/LV/CE/MT: fill %, and per-event alerts.
Alerts available
⦁ BUY/SELL signal, PO3 shift, GB touch (with tag), CB broken/retest pass/fail, TT setup/confirmed, OB tagged, FVG formed/filled, LV expansion, CE/MT touches.
Limitations & notes
⦁ Signals are contextual—they depend on the active PO3, tolerance, filters, session weighting, and volatility regime.
⦁ HTF requests depend on broker/exchange data and the timeframe you assign; if HTF is empty or illiquid, features degrade gracefully but may be less informative.
⦁ Win-rate tallies are session-local (not a historical performance guarantee).
⦁ Parameter choices (e.g., tolerance, breaker width, thresholds) materially change behavior.
Disclaimer
This tool is for educational/informational purposes only. It does not constitute financial advice, an invitation to trade, or performance assurance. Markets involve risk—always test on replay/paper and manage risk independently.
Weekly Volume Profile -Previous Week Projected into Current WeekThis indicator displays the Volume Profile of the previous week projected into the current week. It calculates the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) based on the weekly volume distribution. Lines are extended to the right to provide a reference for the current week's trading. Optional small labels show PWPOC, PWVAH, and PWVAL. Ideal for traders who want to track key levels from the previous week and use them as support/resistance in the current week.
Features:
Customizable number of price bins
Adjustable Value Area percentage
POC, VAH, and VAL lines projected forward
Optional minimal labels for each level
Resets every week on Sunday 22:00 UTC
Wyckoff Smart Money Pro [MTF]Wyckoff Smart Money Pro detects trading ranges, phases, and events from the Wyckoff method and confirms them with VSA (Volume Spread Analysis), divergence checks, and a composite “smart money” strength index. It generates optional buy/sell signals only when multiple conditions align (phase, VSA, CO strength, effort vs. result, time/volume filters). The dashboard, POC/Value Area, and MTF backdrop help you manage context and risk in real time.
What this indicator does
Wyckoff Smart Money Pro is a multi-timeframe Wyckoff tool that:
⦁ Finds accumulation/distribution ranges and tracks Phases A–E.
⦁ Labels Wyckoff events (PS, SC, AR, ST, Spring/Test, SOS, LPS, UTAD, SOW, LPSY, TS…) and VSA patterns (No Demand/Supply, Stopping Volume, Upthrust, etc.).
⦁ Computes a Composite Operator (CO) Strength score from price/volume behavior to approximate “smart money” bias.
⦁ Adds divergence, effort vs. result, and a volume profile (POC & 70% value area) inside the detected range.
⦁ Provides buy/sell signals only when a configurable confluence is present (events + VSA + CO + EVR + phase + filters).
⦁ Supports MTF context (with a safe HTF resolver and fallbacks) and an Info Dashboard to summarize the current state.
It is designed to make the Wyckoff workflow visual and rules-based without promising results or automating decisions.
How it works (methods & calculations)
1) Range & Phase model
⦁ A sliding lookback searches for a valid range (recent highest high/lowest low), requiring width within 2–10× ATR(14) and a minimum bar count inside the bounds.
⦁ Once a range is active, the script derives Creek/Ice/Mid/Quartiles and classifies bars into Wyckoff Phases A–E using event recency (barssince) and where price sits relative to the range.
⦁ The background color reflects the current Phase; optional MTF events (from the chosen HTF) tint the background lightly for higher-timeframe context.
2) Wyckoff & VSA event engine
⦁ Events include PS, SC, AR, ST, Spring, Test, SOS, LPS, PSY, BC, UTAD, SOW, LPSY, TS, plus minor/multiple variants and Creek/Ice jumps.
⦁ VSA patterns detect No Demand/No Supply, Stopping Volume, Buying/Selling Climax, Upthrust/Pseudo Upthrust, Bag Holding, Shake-Out, Volume Dry-Up, etc., from spread vs. average spread and volume vs. average volume with tunable thresholds.
3) Smart-money (CO) Strength
⦁ CO Strength (0–100) blends: relative volume on up/down bars, professional accumulation/distribution, no-supply/no-demand, stopping volume, Springs/UTADs and Tests, SOS/SOW, price’s position inside the range, and volume-delta vs. its MA.
⦁ Persistent accumCount / distCount counters smooth temporary noise.
4) Divergence & Effort-vs-Result
⦁ Price vs. cum volume-delta divergence highlights weakening pushes.
⦁ EVR flags “High effort / no result” and potential Bullish/Bearish reversals, or “Low effort / high result” moves that are often unsustainable.
5) Volume Profile (inside range)
⦁ A 50-bin profile accumulates volume across the detected range to derive POC, VAH/VAL (70% value area). Lines update as the active range evolves.
6) Multi-Timeframe (MTF) safety
⦁ getHTF() converts your multiplier to a valid Pine timeframe string (e.g., 60, 240, 2D, 1W), and the script falls back to current timeframe values if an HTF request returns na.
⦁ If you enter a Custom HTF, it must be strictly higher than the chart’s timeframe (validated at runtime).
7) Signals & risk model
⦁ Signals are not tied to any single pattern. A buy may require Spring/Test/Shake-out/Creek Jump or SOS plus confirmation (VSA, CO>60, Phase C/D, divergence/EVR context).
⦁ Sell is symmetrical (UTAD/Failed Spring/SOW/Ice Jump + VSA + CO<40 + Phase C/D).
⦁ Minimum confidence is configurable; SL/TP and R:R lines are drawn from range edges or recent bar extremes.
⦁ Filters: trading hours, weekend avoidance, and a minimum volume threshold (relative to average) are available to suppress low-quality contexts.
⦁ Alerts include all major events, divergences, structure/phase changes, and the gated Buy/Sell signals (with a cooldown to reduce alert spam).
Inputs (key ones you’ll actually use)
⦁ Display Settings: toggle ranges, phases, events, VSA, signals, dashboard.
⦁ MTF: Enable HTF, set Multiplier or a Custom HTF (must be higher than current).
⦁ Range Detection: period / min bars / pivot strength.
⦁ VSA: volume sensitivity & climax multiplier.
⦁ Signal Settings: minimum confidence, risk/reward labels.
⦁ Advanced Filters: trading hours, weekend avoidance, and Min Volume Filter (× avg).
⦁ Colors: phase backgrounds, structure colors, and line styling.
How to use (practical flow)
1. Choose a symbol & timeframe you normally analyze (e.g., 5–60m for entries, 4H/D for context).
2. If using MTF, pick a multiplier (e.g., 5×) or a Custom HTF (e.g., 240/4H).
3. Wait for a range to form; watch Phase and CO Strength on the Dashboard.
4. When events (e.g., Spring/Test in Phase C or UTAD in distribution) appear with favorable VSA, CO, EVR, and volume/time filters, consider the signal and review R:R lines.
5. Use POC/VA and Creek/Ice/Mid as structure references; manage risk around the range edge that generated the setup.
On-chart legend (what the letters mean)
Wyckoff events (labels)
⦁ PS Preliminary Support, SC Selling Climax, AR Automatic Rally, ST Secondary Test
⦁ Spring Spring; Test Test of Spring
⦁ SOS Sign of Strength; LPS Last Point of Support
⦁ PSY Preliminary Supply, BC Buying Climax
⦁ UTAD Upthrust After Distribution; SOW Sign of Weakness; LPSY Last Point of Supply
⦁ TS Terminal Shakeout; MS Multiple Spring
⦁ CJ Creek Jump; IJ Ice Jump
⦁ mSOS / mSOW Minor Sign of Strength/Weakness
VSA patterns (tiny labels)
⦁ ND No Demand, NS No Supply, SV Stopping Volume, BC/SC Buying/Selling Climax
⦁ PA/PD Professional Accumulation/Distribution, BH Bag Holding, DU Volume Dry-Up
⦁ SO Shake-Out, TS Test for Supply (VSA test), UT Upthrust, PUT Pseudo Upthrust
Other visuals
⦁ Range box with Creek (upper third), Ice (lower third), Mid, Quartiles
⦁ POC/VAH/VAL: yellow solid (POC), purple dotted (value area)
⦁ VWAP and Dynamic S/R (stepline)
⦁ Green/Red triangles: gated Buy/Sell signals (only if min confidence & filters are met)
⦁ Risk label near the triangle: confidence /10 and R:R
Alerts included
⦁ Core events (Spring/Test/UTAD/SOS/SOW/TS), secondary events (SC/AR/BC/LPS/LPSY), VSA patterns, EVR states, Hidden Accumulation/Distribution, HTF events, Divergences, Phase/Structure changes, and the constrained Buy/Sell signals with a cooldown.
Notes, limits & best practices
⦁ This is not a buy/sell system; it’s a context & confirmation tool. Combine with your plan, risk limits, and execution criteria.
⦁ Long, illiquid, or news-driven bars can distort volume/spread logic; filters help but cannot eliminate this.
⦁ For MTF, if an exchange doesn’t support a specific HTF, the script falls back safely to current TF values to avoid na-propagation.
⦁ Dashboard rows/size/position are user-configurable to keep charts uncluttered.
Changelog (what’s new in this version)
⦁ MTF safety & validation (Custom HTF must be above current; graceful fallbacks for request.security() na results).
⦁ Performance caching for close position & up/down bar flags; drawing cleanup to stay under label/line limits.
⦁ Volume Profile upgraded to 50 bins; VA algorithm adjusted accordingly.
⦁ Signal gating with time/day/volume filters and alert cooldown to reduce noise.
⦁ Bug guards for parameter conflicts (e.g., rangeMinBars cannot exceed rangePeriod).
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any asset. Market risk is real; always test on a demo and trade at your own discretion.
Monthly VWAPDescription
This indicator identifies potential mean reversion opportunities by tracking price deviations from monthly VWAP with dynamic volatility-adjusted thresholds.
Core Logic:
The indicator monitors when price moves significantly away from monthly VWAP and looks for potential reversal opportunities. It uses ATR-based dynamic thresholds that adapt to current market volatility, combined with volume confirmation to filter out weak signals.
Key Features:
Adaptive Thresholds: ATR-based bands that adjust to market volatility
Volume Confirmation: Requires average volume spike to validate signals
Monthly Reset: VWAP anchors reset each month for fresh reference levels
Visual Clarity: Color-coded deviation line with background highlights for active signals
Info Panel: Shows days from anchor and current price context vs fair value
Signal Generation:
Buy Signal: Price below monthly VWAP by threshold amount with elevated volume
Sell Signal: Price above monthly VWAP by threshold amount with elevated volume
Neutral: Price within threshold range or insufficient volume
Best Used For:
Mean reversion strategies in ranging markets
Identifying potential oversold/overbought conditions
Understanding price position relative to monthly fair value
Hopiplaka Goldbach System with SignalsThis tool builds a dynamic price framework around the current market using a PO3 range and a set of mathematically derived Goldbach levels. It then scores nearby levels for quality (reliability) and produces Buy/Sell signals only when multiple, independent factors line up (price level quality, trend/“Tesla Vortex” state, ICT AMD phase, time confluence, volume bias, and momentum). The goal is to identify high-confluence inflection points rather than constant signals.
Core Concepts & Why They’re Combined
1. PO3 Range Framework
Price is segmented into a primary range (lower → upper) determined by a configurable size (3× ladder: 3, 9, 27, …, 2187).
⦁ If price sits near a boundary (configurable sensitivity), the range can auto-expand to the next 3× size to better fit current volatility.
⦁ This gives a stable “map” of the active trading area and its boundaries.
2. Goldbach Levels (Pure Hopiplaka implementation)
For each even number ≤ your precision limit, the script evaluates all prime-sum partitions (Goldbach partitions) and converts their prime ratios into price levels inside the PO3 range.
⦁ Levels are classified as Premium / Standard / Discount based on properties of the prime pair and a mathematical weighting.
⦁ Strict minimum spacing rules (exact %, OB %, liquidity-void %) prevent clutter and keep only the most meaningful levels.
3. Tesla Vortex (trend/phase strength)
A volatility/trend-aware state machine estimates whether market is in MMxM (accumulation/mean-revert like) or TREND conditions and maps price interaction with high-quality levels to phases (e.g., Order Block Formation, Distribution).
⦁ This helps filter signals: buys favored in MMxM near supportive levels; sells favored in TREND near premium/liquidity levels, etc.
4. ICT Integration (AMD, IPDA bias hooks)
A lightweight AMD phase detector classifies the recent window into Accumulation / Manipulation / Distribution and marks market structure bias. This is used as confluence with level quality and trend state.
5. Time Confluence (Goldbach time)
Swing highs/lows are checked against Goldbach-valid timestamps (based on hour+minute sums decomposable into prime pairs). Repeated alignment adds time-bias confidence. When price and time align, level reliability is boosted.
6. Volume & Liquidity Context
A rolling volume baseline marks High/Low Volume Bias; levels can be volume-weighted (raising or lowering their reliability). Proximity to PO3 extremes flags pending liquidity sweeps.
Why this mashup?
The system blends price geometry (PO3 + Goldbach), state/trend (Tesla Vortex), market-microstructure (ICT AMD), time confluence, and volume/liquidity into one numerically scored signal. Each component answers a different question; together they reduce false positives and favor high-quality trades near meaningful levels.
What You’ll See on the Chart
⦁ PO3 Range Boundaries: two dashed lines (“lower” and “upper”). Auto-expand darkens the boundary style slightly.
⦁ Goldbach Levels: horizontal lines colored by classification and context:
⦁ Premium (strong premium band), Standard, Discount
⦁ OB (Order-Block candidate), LV (Liquidity Void)
⦁ TESLA node (trend/phase aligned)
⦁ Heavier width = higher reliability; dashed/dotted styles encode class differences.
⦁ PO3 Liquidity Boxes: narrow yellow shaded bands above/below each level (configurable pip distance).
⦁ Markers
⦁ ▲ Buy arrow below bar when a Buy signal triggers
⦁ ▼ Sell arrow above bar when a Sell signal triggers
⦁ ● Small dot when price touches a Goldbach level
⦁ Data-window plots:
⦁ Tesla Vortex Strength (numeric)
⦁ Time Bias (positive = bullish, negative = bearish)
⦁ Volume Bias (+1 high / −1 low)
⦁ Signal Strength (+ for buy / − for sell, zero when no signal)
⦁ Label Legend (on level tags)
⦁ TESLA – Tesla-aligned level node
⦁ OB – Order-block-quality zone
⦁ LV – Liquidity-void zone
⦁ Premium / Standard / Discount – Level class
⦁ Gxx – Even number used to build the level (Goldbach reference)
⦁ Reliability – Final score after time/volume/tesla weighting
⦁ Optional extras: Vol (relative volume weight), Time (time-confluence strength)
How Signals Are Generated
A signal is proposed when price comes within a minimum distance of a high-reliability level. It is then accepted only if enough of these independent checks pass (you control the required count):
1. Tesla Vortex state matches direction (e.g., MMxM with buy; TREND with sell).
2. ICT AMD phase aligns (Accumulation → buy bias; Distribution → sell bias).
3. Goldbach time bias supports the direction.
4. Volume bias supportive (high-volume context boosts conviction).
5. Level quality (TESLA node or Premium class) is high.
6. Momentum alignment (recent 2–3 bars in the same direction).
Only when confluence ≥ your threshold and confidence ≥ 0.5 (scaled by sensitivity) will a Buy/Sell arrow print. Cooldown prevents rapid repeats.
Inputs (key ones)
⦁ PO3 Settings: range size, auto-expansion toggle, expansion sensitivity, liquidity band distance.
⦁ Goldbach Mathematics: precision limit, exact spacing rules, spacing for OB/LV classes.
⦁ Trading Signals: master toggle, sensitivity, min reliability, confluence required, cooldown, min distance to level, markers on/off.
⦁ Tesla Vortex / ICT: enable Vortex, sensitivity; enable AMD/IPDA analysis and lookback.
⦁ Time & Volume: enable Goldbach time and weighting; volume lookback; liquidity-pool detection.
⦁ Display: show historical/future projections, number of future bars, labels, path/phase overlays.
⦁ Colors: full palette per class/context (premium/discount/OB/LV/Tesla/time/volume, buy/sell/goldbach hit).
Alerts Included
⦁ Signals: “BUY Signal Generated”, “SELL Signal Generated”
⦁ Level Interactions: “Goldbach Level Hit”; “Near Goldbach Level”; “Tesla Vortex Node”; “Premium Level Alert”
⦁ PO3: “PO3 Upper Break”, “PO3 Lower Break”, “PO3 Range Expansion”
⦁ State Changes: “Tesla Vortex Phase Change”
⦁ Context: “Liquidity Sweep Imminent”, “Strong Time Confluence”
You can wire these to webhooks or notifications.
Suggested Workflow
1. Choose PO3 size that matches your instrument’s volatility; keep Auto-Expansion ON initially.
2. Set confluence threshold (start at 3–4) and cooldown (e.g., 10 bars).
3. Keep Time and Volume modules ON for additional reliability weighting.
4. Use arrows as filters, not blind entries—confirm with your execution plan and risk rules.
5. Prefer signals near Premium/Discount TESLA nodes that also show time confluence and supportive volume.
Practical Notes & Limitations
⦁ The mathematical framework is deterministic, but market execution is not—always manage risk.
⦁ Future projections and heavy labeling can be resource-intensive; tune visibility if performance drops.
⦁ If a market is extremely illiquid or gap-prone, spacing/filters may hide many levels (by design).
Disclaimer
This script is for educational and research purposes only and is not financial advice. Trading involves risk. You are responsible for your own decisions.
Parabolic Move Indicator for catching moves with Penny Stocks.
Catch the day’s first big moves! Track premarket gap-ups or gap-downs, then spot early momentum shifts using volume, RSI, VWAP, EMAs, and breakout levels—perfect for acting on strong intraday setups right at market open.
**Description:**
The Parabolic Move Scanner + VWAP Bands + EMAs indicator helps traders identify **high-probability intraday moves**, particularly immediately after market open. It is ideal for stocks that **gap up or down premarket, pull back slightly, and then show renewed strength or weakness** once regular trading begins.
The indicator combines multiple components for precise signals:
* **Relative Volume Filter: ** Highlights bars with unusually high activity to ensure signals are backed by real participation.
* **RSI Momentum Change: ** Detects sudden momentum shifts to identify early strength or weakness.
* **Recent Highs/Lows Breakout: ** Confirms price is breaking short-term resistance or support.
* **VWAP & Standard Deviation Bands: ** Provides intraday trend reference points, with optional daily reset.
* **Exponential Moving Averages (EMAs): ** Tracks trend across short, medium, and long-term intraday periods.
* **Visual Signals: ** Background highlights and horizontal breakout lines make it easy to spot key bars.
* **Alerts: ** Configurable alerts notify you of bullish or bearish parabolic moves.
**Optimal Use Case: **
Use in the first 15–30 minutes after market open at 1 minute Time Frame. Best for **stocks showing a premarket gap followed by a pullback**, then resuming strength (bullish) or weakness (bearish). The combination of **volume, RSI, breakouts, VWAP, and EMAs** ensures you identify the **day’s biggest marktet open moves especially with penny stocks moves** with higher confidence.
---
### **Recommended Settings**
**Component** | **Recommended Setting** | **Description / Purpose**
| **Volume Average Length** | 20 bars | Period for calculating average volume to detect relative spikes. |
| **Volume Multiplier** | 2.0 | Current bar volume must exceed 2× average to signal high activity. |
| **RSI Length** | 7 bars | Short-term RSI period to measure momentum changes. |
| **RSI Change Threshold** | 7 | Minimum RSI change required to trigger momentum signal. |
| **Recent Highs Lookback** | 5 bars | Number of bars to check for short-term breakout levels. |
| **Horizontal Line Length** | 10 bars | Length of horizontal breakout line drawn on the chart. |
| **Horizontal Line Color** | Green (bullish) / Red (bearish) | Visual identification of breakout levels. |
| **Horizontal Line Thickness** | 1 | Line width for breakout visualization. |
| **VWAP Source** | hlc3 | Price source for VWAP calculation. |
| **VWAP Bands Multipliers** | 1×, 2×, 3× | Standard deviation multiples for intraday bands.
| **VWAP Daily Reset** | Enabled | Resets VWAP at the start of each trading day.
| **EMA Lengths** | 9, 13, 20, 33, 50 | Short, medium, and long-term EMAs to track intraday trend. |
| **Enable Bearish Signals** | True | Allows detection of bearish parabolic moves. |
|
YBL – LITE HUD (Vol/Δ + RVOL + Squeeze) + ADV📌 Description – YBL – LITE HUD (Vol/Δ + Heatmap RVOL + Squeeze) + ADV
The YBL – LITE HUD is a compact yet powerful dashboard built for traders who value clarity and precision without sacrificing depth.
🔹 Vol/Δ (Volume Delta): highlights the imbalance between buyers and sellers in real time, exposing absorption and institutional pressure.
🔹 Heatmap RVOL: transforms relative volume into a dynamic heatmap, emphasizing unusual activity compared to historical averages.
🔹 Squeeze Momentum: detects volatility compression phases and signals potential breakout opportunities.
🔹 Normalization (z-score): all calculations are scaled for consistent comparison, with colors mapped to zVol intensity for intuitive reading.
🔹 ADV (Average Daily Volume): provides context with daily average volume benchmarks to validate the true strength of moves.
👉 The result is a lightweight, visual HUD designed for scalping and intraday trading, combining order flow, relative volume, and statistical context into a single glance.
YBL – MASTER PACK (REV + SQZ + SR + CLOUD + ABS)📊 Breakdown of the MASTER PACK
REV (Reversals Detector)
Spots potential turning points using volume imbalance, exhaustion, and delta shifts.
Shows reversal signals (arrows/labels) when the probability of trend change is high.
SQZ (Squeeze Momentum)
Combines Bollinger Bands and Keltner Channels to identify volatility squeezes.
Histogram + colored momentum bars show if energy is building up (ready for breakout) or fading.
SR (Support & Resistance Levels)
Auto-plots HTF levels (15m / 1h / 4h configurable).
Deduplicates and merges close levels to keep the chart clean.
Gives a map of where price is most likely to react.
CLOUD (Trend Cloud)
EMA/VWAP hybrid cloud that changes color with bias (green = bullish, red = bearish).
Shows momentum zones and filters fake moves.
Optional signals on EMA/VWAP crosses (A+ / V– markers).
ABS (Absorptions + Traps)
Detects aggressive ask/bid absorption with big volume spikes and no follow-through.
Marks institutional traps (fake breakouts) with confirmation windows.
Draws small boxes/labels so you know where institutions defended levels.
🎯 What this pack gives you
A full trading dashboard: structure (SR), volatility (SQZ), momentum/trend (CLOUD), absorption/traps (ABS), and reversal timing (REV).
Optimized for intraday scalping and swing trading.
Designed compactly: all modules in one script, no need to load 5 indicators separately.
With ON/OFF toggles so you can keep only what you need.
👉 Think of it as the “YBL Premium Toolkit”:
SR tells you where price matters.
SQZ tells you when volatility is about to expand.
CLOUD tells you what the current bias is.
ABS tells you where institutions defend.
REV tells you when it’s time to flip direction.
YBL – PAC PREMIUM COMPACT MEDIUM (6 filas, 1 col. derecha)
📑 Document Structure:
Cover Page → YBL logo + Indicator title.
General Description → What the panel is and its purpose.
Row-by-Row Explanation (6 modules):
Volume with Delta
Power vs USD
NY Session
Climax
Trend / Momentum
Correlation
Visual Example → How to interpret values when green, red, or neutral.
Practical Tips → Quick trading rules (e.g., “if strong Δ + Climax rejection = watch for reversal”).
⚡ Now the same question for you:
Do you prefer the PDF in a technical style (with formulas and detailed calculations), or in a practical style (quick guide for traders, with examples and short phrases)?
BIST/TL_Volume_ScreenBIST/TL Volume Screening Tool
This script is designed to help traders analyze and screen BIST stocks based on volume conditions and moving average comparisons.
Custom Group Selection:
Choose from predefined BIST groups (BIST-1 to BIST-15) or create your own custom watchlist (“MY LIST”).
Flexible Screening Options:
Screen stocks by higher or lower volume relative to moving averages.
Adjustable screening types: Higher_Vol, Higher_Volx2, Higher_Volx3, Lower_Vol, Lower_Volx2, Lower_Volx3.
Define both the number of bars to check and the minimum conditions required.
Moving Averages:
Daily and weekly volume moving averages are plotted.
Adjustable MA lengths for flexibility:
Real-Time Volume Extrapolation
Estimates end-of-day volume during live sessions based on intraday patterns, allowing traders to anticipate final daily volume.
Pocket Pivot Detection:
Highlights potential pocket pivot signals when the stock trades near its 10-day or 50-day moving averages with strong volume.
Full Customization:
Adjustable bar width, proximity conditions, and pocket pivot length.
Ability to screen multiple stocks (up to 40 in the custom list)
How to Use:
Select the group of BIST stocks you want to analyze.
Set your preferred timeframe (Daily, Weekly, or Monthly).
Define your screening conditions for volume.
Review signals on the chart:
Histogram bars for volume.
Red line for moving average.
Green diamonds marking pocket pivot opportunities
Kyoshiro - FVG + Order Blocks📌 Kyoshiro – FVG + Order Blocks
This indicator combines Order Block (OB) detection with an intelligent auto-management system and a clean visual display on the chart.
It is designed to help traders better identify institutional zones where price frequently reacts.
⚙️ Key Features:
✅ Real-time detection of bullish and bearish Order Blocks.
✅ Automatic cleanup: invalidated OBs are removed to keep the chart clean.
✅ Customizable display:
Maximum number of visible OBs (bullish / bearish).
Zone colors, outlines, and midlines.
Line styles (solid, dashed, dotted) and adjustable width.
✅ Choice of mitigation method:
Wick
Close
✅ Built-in alerts:
Formation of bullish or bearish OB.
Mitigation of an existing OB.
🔔 Available Alerts:
Bullish OB Formed → A bullish order block is detected.
Bearish OB Formed → A bearish order block is detected.
Bullish OB Mitigated → A bullish OB has been invalidated.
Bearish OB Mitigated → A bearish OB has been invalidated.
🎯 Use Cases:
Quickly identify key liquidity zones.
Track institutional activity in the market.
Improve entry and exit precision.
Volumetric Compressed MAVCMA (Volumetric Compressed Moving Average) uses the compressor and weighted standard deviation functions originally translated to pinescript by @gorx1 to plot moving averages in order to use for entry confirmation.
🔹 Concepts and Idea:
When we do music we always use different kinds of filters (low-pass, high pass, etc) for equalization and filtering itself. That stuff we use in finance as well. What we also always use in music are compressors, there dynamic processors that automatically adjust volume so it will be more consistent. Almost all the cool music you hear is compressed (both individual instruments (especially vocals) and the whole track afterwards), otherwise stuff will be too quite and too weak to flex on it, and also DJing it would be a nightmare.
🔹 Model:
I don't wanna explain it all in statistical / DSP way for once.
First of all, I think the population of volumes is log-normally distributed, so let's take logs of volumes, now we have a ~ normally distributed data. We take linearly weighted mean, add and subtract linearly weighted standard deviation from it, these would be our thresholds, the borders between different kinds of volumes explained before.
The upper threshold is for downward compression, that will not let volume pass it higher.
The lower threshold is for upward compression, all the volumes lower than this threshold will be brought up to the threshold's level.
Then we apply multipliers to the thresholds in order to adjust em and find the sweet spots. We do it the same way as in sound engineering when we don't aim for overcompression, we adjust the thresholds until they start to touch the signal and all good.
Afterwards, we delete all the number 1 and number 3 volume, leaving us exclusively with the clear main component, ready to be processed further.
We return the volumes to dem real scale.
For more info on Volume Compression it's highly advised to check @gorx1's initial script Volume Compressor
🔹 Settings:
MA Type: Moving average type to be used for comparison after calculating the compressed version of volume. This creates the second line after the compression line, so we can consider crossovers for confirmation entries.
Upward threshold: Upward threshold where the compression of volume is calculated. Increasing usually causes smoother lines.
Downward threshold: Downward threshold where the compression of volume is calculated. Decreasing usually causes smoother lines.
Compression Lookback: The Main lookback window of a volume that is used for compression. Increasing this would provide smoother lines but might cause delayed signals. Decreasing means more signals, but might cause whiplash and distorted signals.
Comparative Lookback: This is our lookback to be used with our ma type selection. There is no static better or worse lookback value for this indicator. It should be adjusted based on the pair.
🔹 Where to use:
This indicator should be used as another confirmation tool for your entry signals in your existing strategy/market following combination. Green dots (crossovers) mean bullish movement is expected, and red dots (crossbounders) mean bearish movement is expected. Automated crossover alerts are available. A reminder is that this kind of indicator should not be used on its own for trading, but rather should be used as a confirmation along with your trend detection and main entry indicators to provide additional confidence.
If you want to know under the hood, read the How it works section below.
🔹 How it works:
//This is our main compression calculation, which is used for the first line.
Compressed_out = compressor(volume, len_window, up_thresh, down_thresh)
//This is the secondary ratio calculation that we use for the second line.
Comp_ma = ma(ma_type, close * compressed_out, len_ml) / ma(ma_type, compressed_out, len_ml)
Vwma = ma(ma_type, close, len_window)
We calculate the ratio of the compressed volume and plot it against the base MA. Base MA's length is determined by the Compression Lookback input compared to the Comperative Lookback that is used for the compressed version. This provides us with another possible confirmation indicator that can be used to take advantage of volume ranges.
Kameniczki AI RSI Pro v2.0Kameniczki AI RSI Pro v2.0 is an advanced technical indicator based on RSI (Relative Strength Index) with artificial intelligence that provides comprehensive market analysis with emphasis on safety and signal reliability. The indicator combines traditional RSI calculations with modern AI technologies for detecting high-quality trading opportunities.
Key Features:
AI Signal Quality Assessment
- Automatic signal quality rating on 0-100% scale
- Strict filtering to prevent false signals
- Trend confirmation with "falling knife" protection
- Momentum filter for detecting strong trends
Multi-Timeframe Analysis
- RSI analysis across 5 timeframes (5M, 15M, 30M, 1H, 4H)
- Alignment score calculation for trend direction confirmation
- Configurable threshold for MTF alignment (50-90%)
Smart Money Detection
- Detection of smart money accumulation and distribution
- Volume vs. price analysis for institutional activity identification
- Smart money strength calculation (0-100%)
Anomaly Detection System
- Early warning system for market anomalies
- Monitoring of price, volume, and volatility anomalies
- 4 anomaly levels: NORMAL, MEDIUM, HIGH, CRITICAL
- Comprehensive anomaly scoring (0-100 points)
Volume-Weighted RSI
- Volume-weighted RSI calculations
- Adaptive RSI lengths based on volatility
- Three RSI variants: Fast (7), Medium (14), Slow (21)
RSI Divergence Detection
- Automatic bullish and bearish divergence detection
- 20-bar lookback period for accurate identification
- Integration with AI signal quality
Dashboard and Visualization
Information Dashboard
- **SIGNAL**: Main trading signal with percentage score
- **ANOMALY**: Market anomaly status with color coding
- **MTF**: Multi-timeframe alignment percentages
- **SMART MONEY**: Accumulation/distribution status
- **DIVERGENCE**: Current RSI divergences
Signal Types
- **STRONG BUY/SELL**: Highest quality with trend confirmation
- **BUY/SELL**: Normal signals with percentage score
- **NEUTRAL**: No clear direction
Visual Effects
- Glowing colors for high AI quality (90%+)
- Modern AI color schemes
- RSI momentum histogram
- Critical zones for extreme levels
Settings
RSI Core Settings
- Base RSI Length: 5-100 (default 14)
- Fast RSI Length: 3-21 (default 7)
- Slow RSI Length: 14-50 (default 21)
- RSI Source: Price source for calculations
AI Enhancement
- Enable AI Signal Quality: AI quality rating
- AI Quality Threshold: 30-95% (default 70%)
- Enable Smart Money Detection: Smart money detection
- Enable Volume Weighting: Volume weighting
Multi-Timeframe Analysis
- Enable MTF Analysis: Multi-timeframe analysis
- MTF Weight: 10-50% (default 30%)
- MTF Alignment Threshold: 50-90% (default 75%)
Visual Settings
- Enable Glowing Effects: Bright colors for high quality
- Line Width: 1-5 (default 2)
- Zone Transparency: 50-95% (default 80%)
- Dashboard Position: 6 positioning options
- Customizable signal colors
Alert Settings
- Enable Alerts: Main alerts
- Enable Divergence Alerts: Divergence alerts
- Enable Smart Money Alerts: Smart money alerts
Alert System
Main Alerts (AI Quality ≥ 85%)
- SUPER RSI STRONG BUY/SELL: Highest priority
- SUPER RSI BUY/SELL: Normal signals
- Price, RSI, trend, and stress level information
Specialized Alerts
- BULLISH/BEARISH DIVERGENCE: RSI divergences
- ANOMALY CRITICAL/HIGH: Market anomalies
- SMART MONEY ACCUMULATION/DISTRIBUTION: Smart money activity
- MTF ALIGNMENT: Multi-timeframe alignment
Technical Specifications
Calculation Methods
- Volume-weighted RSI with adaptive lengths
- ATR-based volatility analysis
- EMA trend confirmation (20, 50, 200)
- Stress level calculation (KAMENICZKI AI 1.5.5)
Safety Mechanisms
- Momentum filter against counter-trend trading
- Trend confirmation requirements
- Volume confirmation for extreme signals
- Falling knife protection
Performance Optimization
- Max bars back: 500
- Efficient global variables
- Optimized functions for speed
Usage
The indicator is designed for professional traders who need reliable and safe signals with emphasis on quality over quantity. It combines traditional technical analysis with modern AI technologies for maximum accuracy and risk minimization.
VBC Signals with TP/SL V1.0This script was based on volume break candle theory.
VBC has a very simple idea. It uses the principle that if the price of the XAUUSD asset rises above a specified range of at least 600 points (configuarable) continuously, and a candle breaks the upward trend, a signal will be generated to sell. The entry principle is to enter at the price at the last bullish candle with TP300 SL300.
On the other hand, if the price of xauusd falls below the specified level of 600 points and a candle breaks the price down by 1 candle, a BUY signal will occur, and the ENTRY and TP SL will use the same values as the SELL signalใ
How it works:
SELL SIGNAL : When the asset price rises above 600 points continuously and a "SELL" signal occurs, place a limit sell order at the pair of green and red bars that formed the signal, specifying a TP of 300 and SL of 300.
BUY SIGNAL : When the asset price falls more than 600 points continuously and a "BUY" signal occurs, place a limit sell order at the double bar pattern of the red and green bars that formed the signal, specifying a TP of 300 and a SL of 300.
Disclaimer: This script is for educational purposes only. It does not constitute financial advice. Always do your own research before making trading decisions.
NOTE: For certain XAUUSD of certain broker (for instance XAUUSD on OANDA), the signal might found to often, just multiple the threshold by 10, then 600 will be come 6000
Option Selling Indicator
* ✅ Bullish Trend → Background turns Green (favorable for Put Selling)
* ❌ Bearish Trend → Background turns Red (favorable for Call Selling)
* ⚪ Sideways / Weak Trend → Background turns White (avoid trades or use range strategies)
📊 How to Use:
1. Apply the indicator on Index Futures or Stocks where Options are actively traded.
2. Use the **background color** as a visual guide:
* Green → Consider **Put Selling** opportunities.
* Red → Consider **Call Selling** opportunities.
* Grey → Market is sideways → **Avoid trades** or use strangle/straddle strategies.
3. Confirm signals with **VWAP levels** for better entries.
S/R Pro – 4-Level Zone-Based Signal Engine v4S/R Pro – 4-Level Zone-Based Signal Engine v4
The indicator combines support/resistance levels, moving averages, and cloud zones to identify trend strength and entry points. On higher timeframes, it helps define market direction, while on lower timeframes it provides buy/sell signals.
Volume TargetThis tool highlights unusual volume by comparing it against a moving average benchmark. Users can set the average type/length and define a volume target as a percentage of that average. The script colors bars and provides alerts when volume exceeds the target
Institutions order spikes spotter//@version=5
indicator("Volume Spike — QuickFire (TF-Adaptive)", overlay=true, max_labels_count=500)
//––– Helpers –––
barsFromMinutes(mins, avgBarMs) =>
ms = mins * 60000.0
int(math.max(2, math.round(ms / math.max(1.0, nz(avgBarMs, 60000.0)))))
alphaFromLen(lenBarsFloat) =>
lb = math.max(2.0, lenBarsFloat)
2.0 / (lb + 1.0) // EMA alpha
//––– Inputs –––
useMinutesHorizon = input.bool(true, "Use Minutes Horizon (TF-adaptive)")
presetMinutes = input.string("120","Horizon Preset (min)", options= )
horizonMinutes = input.int(240, "Custom Horizon (min) if preset OFF", minval=10, maxval=24*60)
usePresetMins = input.bool(true, "Use Preset")
// Sensitivity (LOOSE defaults)
multK = input.float(2.2, "K: vol > baseline × K", minval=1.1, step=0.1)
zThresh = input.float(2.5, "Z: vol > mean + Z·stdev", minval=1.5, step=0.1)
requireBoth = input.bool(false, "Require BOTH (K & Z). If OFF → EITHER")
// Optional filters (OFF by default)
useNewExtreme = input.bool(false, "Require New Extreme vs Prior Max (OFF)")
priorWinBarsInp = input.int(100, "Prior-Max Window (bars)", minval=20, maxval=5000)
priorFactor = input.float(1.20, "New Extreme ≥ priorMax ×", minval=1.0, step=0.05)
minDollarVol = input.float(0.0, "Min Dollar-Volume (price×vol×mult) — 0=off", step=1.0)
contractMult = input.float(1.0, "Contract/Dollar Multiplier (e.g., NQ 20, MNQ 2)", step=0.1)
sessionOnly = input.bool(false, "Restrict to Session (OFF)")
sess = input.session("0830-1600", "Session (exchange tz)")
earlyDetect = input.bool(true, "Early Intrabar Detection")
cooldownMins = input.int(10, "Cooldown Minutes", minval=0, maxval=24*60)
markerSize = input.string("normal", "Marker Size", options= )
showLabel = input.bool(false, "Show ratio label")
shadeNear = input.bool(true, "Shade near-misses (only one condition)")
colUp = color.new(color.teal, 0)
colDn = color.new(color.red, 0)
colBgHit = color.new(color.yellow, 80)
colBgNear = color.new(color.silver, 88)
//––– Derived (minutes → bars → alphas) –––
avgBarMs = ta.sma(time - time , 50)
useMin = usePresetMins ? str.tonumber(presetMinutes) : horizonMinutes
lenEffBars = useMinutesHorizon ? barsFromMinutes(useMin, avgBarMs) : useMin
lenEffF = float(lenEffBars)
alphaVol = alphaFromLen(lenEffF)
alphaATR = alphaFromLen(math.max(10.0, lenEffF/2.0))
cooldownBars = useMinutesHorizon ? barsFromMinutes(cooldownMins, avgBarMs) : cooldownMins
//––– Guards –––
inSess = sessionOnly ? not na(time(timeframe.period, sess)) : true
//––– EW stats (no series-int) –––
vol = volume
var float vMean = na
var float vVar = na
vMeanPrev = nz(vMean , vol)
vMean := na(vMean ) ? vol : vMeanPrev + alphaVol * (vol - vMeanPrev)
delta = vol - vMeanPrev
vVar := na(vVar ) ? 0.0 : (1.0 - alphaVol) * (nz(vVar ) + alphaVol * delta * delta)
vStd = math.sqrt(math.max(vVar, 0.0))
// EW ATR (for optional anatomy later if you want)
trueRange = math.max(high - low, math.max(math.abs(high - close ), math.abs(low - close )))
var float atrEW = na
atrEW := na(atrEW ) ? trueRange : atrEW + alphaATR * (trueRange - atrEW )
// Intrabar scaling
elapsedMs = barstate.isrealtime ? (timenow - time) : nz(avgBarMs, 0)
frac = earlyDetect ? math.max(0.0, math.min(1.0, elapsedMs / math.max(1.0, nz(avgBarMs, 1)))) : 1.0
// Thresholds
thMult = nz(vMean, 0) * multK
thZ = nz(vMean, 0) + zThresh * vStd
thMultEf = thMult * frac
thZEf = thZ * frac
condMult = vol > thMultEf
condZ = vol > thZEf
condCore = requireBoth ? (condMult and condZ) : (condMult or condZ)
// Optional filters (default OFF)
priorMax = ta.highest(vol , priorWinBarsInp)
condNewMax = not useNewExtreme or (vol >= priorMax * priorFactor)
dollarVol = close * vol * contractMult
condDVol = (minDollarVol <= 0) or (dollarVol >= minDollarVol)
// Cooldown
var int lastSpikeBar = -1000000000
coolOK = (bar_index - lastSpikeBar) > cooldownBars
// Final event (minimal gates)
isSpike = inSess and condCore and condNewMax and condDVol and coolOK
// Near-miss shading (only one condition true)
nearMiss = shadeNear and inSess and not isSpike and (condMult != condZ) and (condMult or condZ)
// Severity
ratio = nz(vol) / nz(vMean, 1.0)
dirUp = close >= open
// Update cooldown stamp
if isSpike
lastSpikeBar := bar_index
//––– Plotting –––
bgcolor(isSpike ? colBgHit : nearMiss ? colBgNear : na)
isUp = isSpike and dirUp
isDn = isSpike and not dirUp
// const-size markers
plotshape(markerSize == "tiny" and isUp, title="Spike Up tiny", style=shape.triangleup, color=colUp, location=location.belowbar, size=size.tiny)
plotshape(markerSize == "small" and isUp, title="Spike Up small", style=shape.triangleup, color=colUp, location=location.belowbar, size=size.small)
plotshape(markerSize == "normal" and isUp, title="Spike Up normal", style=shape.triangleup, color=colUp, location=location.belowbar, size=size.normal)
plotshape(markerSize == "large" and isUp, title="Spike Up large", style=shape.triangleup, color=colUp, location=location.belowbar, size=size.large)
plotshape(markerSize == "huge" and isUp, title="Spike Up huge", style=shape.triangleup, color=colUp, location=location.belowbar, size=size.huge)
plotshape(markerSize == "tiny" and isDn, title="Spike Dn tiny", style=shape.triangledown, color=colDn, location=location.abovebar, size=size.tiny)
plotshape(markerSize == "small" and isDn, title="Spike Dn small", style=shape.triangledown, color=colDn, location=location.abovebar, size=size.small)
plotshape(markerSize == "normal" and isDn, title="Spike Dn normal", style=shape.triangledown, color=colDn, location=location.abovebar, size=size.normal)
plotshape(markerSize == "large" and isDn, title="Spike Dn large", style=shape.triangledown, color=colDn, location=location.abovebar, size=size.large)
plotshape(markerSize == "huge" and isDn, title="Spike Dn huge", style=shape.triangledown, color=colDn, location=location.abovebar, size=size.huge)
// Optional label
if showLabel and isSpike
y = dirUp ? low : high
st = dirUp ? label.style_label_down : label.style_label_up
c = dirUp ? colUp : colDn
label.new(bar_index, y, str.tostring(ratio, "#.##x"), xloc=xloc.bar_index, style=st, textcolor=color.white, color=c)
// Alerts
alertcondition(isSpike, title="Volume Spike (Any)", message="Volume spike detected.")
alertcondition(isSpike and isUp, title="Volume Spike Up", message="UP volume spike.")
alertcondition(isSpike and isDn, title="Volume Spike Down", message="DOWN volume spike.")
// Hidden refs (optional)
plot(ratio, title="Severity Ratio", display=display.none)
plot(dollarVol, title="Dollar Volume", display=display.none)
plot(atrEW, title="EW ATR", display=display.none)
Trend Following S/R Fibonacci StrategyTrend Following S/R Fibonacci Strategy
Trend Following S/R Fibonacci Strategy
Simple TPODisplays price distribution over time using Time Price Opportunities (TPO). Shows Point of Control (POC), Value Area High/Low (VAH/VAL) levels to identify key support/resistance zones and fair value areas. Includes customizable timeframes and price breakout alerts.
RSI + Sell/Buy RatesEnglish follow
Sell/Buy Rates = des barres vert/rouge qui mesurent la pression acheteurs vs vendeurs (calculé à partir des bougies et du volume), centrées sur 50. > 50 (vert) : acheteurs dominent. < 50 (rouge) : vendeurs dominent. Plus loin de 50 ⇒ plus fort. Avec le RSI : on ne fait que confirmer — RSI > 50 et barres > 50 → acheteurs ; RSI < 50 et barres < 50 → vendeurs ; sinon on s’abstient.
Sell/Buy Rates = green/red bars that measure buyer vs. seller pressure (calculated from candles and volume), centered at 50.
> 50 (green): buyers dominate. < 50 (red): sellers dominate.
Farther from 50 ⇒ stronger.
With RSI: it’s just a confirmation — RSI > 50 and bars > 50 → buyers; RSI < 50 and bars < 50 → sellers; otherwise, stand aside.
