MVAP Reversal Detector — InstitutionalA professional-grade reversal detector built on Moving VWAP (MVAP), liquidity sweeps, and volume absorption.
The indicator identifies high-probability intraday reversal points by combining three institutional concepts:
MVAP (EMA of VWAP) → institutional fair-value anchor
Liquidity Sweeps → stop runs above prior highs or below prior lows
Absorption Signals → shift from aggressive orders to passive absorption
The result is a clean, reliable reversal framework used by prop traders, scalpers, and intraday momentum traders.
What This Indicator Detects
1. Bullish MVAP Reclaim Reversal
A bearish move sweeps liquidity below recent lows → volume absorption appears → price reclaims MVAP.
This often triggers a short squeeze and a new upward trend.
2. Bullish MVAP Reject Reversal
Price pulls back into MVAP → fails to break below → absorption confirms buyers defending the level.
3. Bearish MVAP Reclaim Reversal
A bullish move sweeps liquidity above highs → absorption turns price → price falls back below MVAP.
Common in failed breakouts and distribution.
4. Bearish MVAP Reject Reversal
Price retests MVAP from below → fails → sellers defend → continuation lower.
Why MVAP Reversals Matter
MVAP acts as a dynamic institutional cost-basis line, similar to VWAP but smoother and harder to manipulate.
Reversals around MVAP provide powerful signals of:
Failed trend continuation
Absorption-based trap setups
Liquidity-driven inflection points
Trend transitions (range → trend or trend → fade)
Inputs
MVAP Length – EMA smoothing of VWAP
Swing Length – Liquidity sweep detection
Absorption Lookback – Volume shift confirmation
Label Size / Toggle – Fully configurable
Dashboard Toggle – Enables/disables compact floating label
Indicadores y estrategias
CANDLE_TIME_RDThis tool displays the time of each candle directly on the chart by placing a label below
the bar with an upward-pointing arrow for clear visual alignment. It helps traders quickly
identify the exact timestamp of any candle during fast intraday analysis or historical review.
OVERVIEW
The script extracts the hour and minute of each bar, formats the timestamp according to the
user’s preference, and prints it beneath the candle. This removes the need to rely on the
data window or crosshair for time inspection. It is ideal for ITI evaluation, timestamp
journaling, and precise replay study.
FEATURES
- Prints the time under each candle or every N-th candle using a simple step input.
- Supports both AM/PM and military time through a toggle input.
- Builds all hour and minute text manually to ensure consistent formatting.
- Uses label.style_label_up to draw an arrow pointing toward the candle.
- Positions labels with yloc.belowbar so they do not overlap price bars.
USE CASES
- Reviewing setups with ChatGPT where exact candle timing matters.
- Studying EMA touches, VWAP interactions, or momentum shifts that occur at specific times.
- Journaling entries and exits with precise timestamps.
- Quickly identifying candle times without zooming or opening data windows.
This script is designed for clarity and convenience, improving workflow for structured
intraday traders and replay analysts.
True Trend (StevenCharts)Overview
True Trend (StevenCharts) is a next-generation technical analysis tool designed to automate the most subjective part of trading: Drawing Trendlines.
Whether you are scalping, day trading, or swing trading, identifying valid support and resistance channels is critical. This indicator uses a proprietary multi-timeframe momentum engine to objectively identify market pivots and automatically draw precise, high-probability trendlines (rays) on your chart.
The "True Trend" Engine
At the heart of this indicator is a custom algorithmic model that evaluates market structure across multiple timeframes simultaneously.
No Guesswork: Instead of manually connecting wicks, the script waits for specific algorithmic momentum peaks and troughs to determine exactly where a trend begins and ends.
Dynamic Generation: When the internal trend logic detects maximum strength, the indicator tracks the highest or lowest points of the move. When momentum shifts, it locks in a trendline that projects forward, creating dynamic support and resistance levels.
Key Features
Automated Ray Creation: Automatically draws Red (Bearish) and Green (Bullish) rays based on confirmed momentum shifts.
Clean Chart Logic: The script includes intelligent "cleanup" logic. If price breaks a trendline and confirms the break with sustained momentum, the line is automatically removed to keep your chart clean and focused on relevant data only.
High Volume Confirmation: The logic accounts for volume spikes to validate line breaks.
"SHIFT" Logic (Adaptive vs. Static)
This script features a powerful setting called "Turn SHIFT On":
ON (Adaptive Mode): Uses advanced logic to "leapfrog" trendlines. As price makes new structural highs or lows, the trendline adjusts and locks onto the most recent valid pivot points. This is ideal for active traders following a developing trend.
OFF (Static Mode): Draws independent, static trendlines from every valid pivot. This is useful for seeing the history of market structure and identifying older levels that may still act as support/resistance.
How to Use
Support & Resistance: Use the automatically generated rays as dynamic S/R levels.
Bullish Trend: Price should respect the Green rays as support.
Bearish Trend: Price should respect the Red rays as resistance.
Breakout/Reversal: When a localized trendline is deleted or broken, it signals a potential shift in market structure.
Settings
Turn 'SHIFT' On: Toggles between adaptive (moving) lines and static lines.
Show Highest/Lowest Only: Keeps the chart clean by focusing on the most dominant outer trends.
Ray Colors: Customizable colors for Up and Down trends.
市场微观转变确认指标Logic: Signals only appear when Cloud Trend aligns with Structural Breakouts.
Visuals: Grey bars indicate noise/chop; colored bars indicate valid resonance.
Best for: 15m timeframe fast-paced trading.
"High-speed scalping indicator fusing Volatility Clouds and Market Structure for noise-filtered, double-confirmed entries."
SYNTARU ULTRA (Indicator) — Non-Repaint PROSYNTARU ULTRA (Non-Repaint PRO)
A professional-grade, non-repainting trading indicator designed to identify high-probability entries using multi-layer analysis. Combines core trend EMA (G1), ATR-based volatility bands (G2), momentum (RSI + EMA slope, G3), and optional higher timeframe confirmation (G4) to generate LONG and SHORT signals. Features include ATR spike filters for news/noise avoidance, cool-off bars to reduce false alerts, confidence scoring (0–100%), and full webhook-ready alerts for automation. On-chart panel displays signal, confidence, trend angle, RSI, ATR spike status, and cool-off activity for real-time monitoring.
Volume SMA (StevenCharts)The Volume SMA (StevenCharts) is a streamlined volume analysis tool designed to help traders instantly identify significant market activity.
Standard volume bars can be noisy and difficult to interpret in isolation. This indicator normalizes volume relative to its recent average, highlighting only the bars that carry statistical significance. It separates "smart money" activity from retail noise by color-coding volume based on a user-defined threshold relative to the Moving Average.
How It Works
The indicator calculates a Simple Moving Average (SMA) of the volume (default 20 periods) and compares the current real-time volume against this baseline.
High Relative Volume: If the current volume exceeds the SMA by your set multiplier (e.g., 1.5x or 2.0x), the bar lights up in Green (for bullish closes) or Red (for bearish closes).
Low/Average Volume: If the volume is below the threshold, the bar remains Gray. This helps you ignore low-conviction price action.
Key Features
Threshold Filtering: Easily adjust the "Volume Multiplier" to define what you consider "high volume." Set it to 1.5 to spot bars with 150% of the average volume, or 2.0 for extreme outliers.
Visual Clarity: Automatically greys out insignificant volume, drawing your eye immediately to institutional activity.
Dual-Plot System: Displays standard volume bars alongside the SMA line for context.
Settings
Show Volume SMA: Toggles the blue SMA line on/off.
Volume SMA Length: The lookback period for the average (Default: 20).
Volume Multiplier Threshold: The factor required to trigger the colored highlight.
Example: Setting this to 1.0 means any volume above the average is colored. Setting it to 2.0 means only double-the-average volume is colored.
RSI/VIX Reversal Signal (StevenCharts) [BETA]The RSI/VIX Reversal Signal (StevenCharts) is a specialized mean-reversion indicator that combines technical momentum (RSI) with market sentiment data (VIX).
While standard RSI strategies often fail by catching "falling knives" during strong trends, this indicator filters setups by requiring a specific volatility environment. It identifies moments of extreme fear (High VIX + Oversold RSI) or extreme complacency (Low VIX + Overbought RSI) to pinpoint high-probability reversal zones.
How It Works
This script operates on a two-step confirmation logic to prevent premature entries:
The Trigger (Blue Dot): The indicator first identifies an extreme condition.
Potential Buy: Price is Oversold while Volatility is elevated. This indicates panic selling.
Potential Sell: Price is Overbought while Volatility is suppressed. This indicates market complacency.
The Signal (Triangle Label): Once a trigger is detected, the script waits for Price Action Confirmation.
It will not print a Green Buy Label until a green candle actually closes.
It will not print a Red Sell Label until a red candle actually closes.
Key Features
Dual-Factor Analysis: Filters out weak RSI signals by demanding VIX confirmation.
Stateful Logic: Remembers if a trigger condition was met and patiently waits for the reversal candle before signaling.
Timeframe Noise Filter: Includes a built-in setting to automatically hide signals on lower timeframes to focus on macro reversals.
Data Table: An optional dashboard that displays real-time VIX values, RSI values, and Overbought/Oversold status directly on your chart.
How to Use
Buying the Fear: Look for the Green Triangle. This signals that panic selling has likely exhausted itself and buyers are stepping back in.
Selling the Greed: Look for the Red Triangle. This signals that the market is overextended and volatility is too low to sustain the move.
Blue Dots: Treat these as "Warning Shots." They tell you a setup is building, but the reversal hasn't confirmed yet.
CapitalFlowsResearch: Sensitivity BandsCapitalFlowsResearch: Sensitivity Bands — Expected-Move Projection from Cross-Asset Beta
CapitalFlowsResearch: Sensitivity Bands builds on the idea of cross-asset sensitivity by turning beta into a set of projected price boundaries around the prior day’s close. Instead of showing beta as a standalone number, this tool translates it into real price levels that represent the expected magnitude of movement—up or down—given a typical shock in a chosen market driver.
The script measures how strongly the price asset has been responding to moves in the driver over a rolling window, then uses that relationship to calculate a dynamic “band width.” That width is applied symmetrically around the previous daily close to create two horizontal bands: an upper range and a lower range. These lines update intraday, offering a real-time sense of whether current price action is unfolding within normal sensitivity limits or pushing into statistically unusual territory.
Traders can choose how the driver’s changes are interpreted (basis points, absolute moves, or percent changes), and optionally replace the rolling band with a running mean to emphasise longer-term structural sensitivity. The resulting overlay acts much like an expected-move model—similar in spirit to options-derived ranges, but powered by beta dynamics rather than implied volatility.
In practice, Sensitivity Bands serves as a clean framework for contextualising market movement:
Inside the bands: price behaviour aligns with typical cross-asset sensitivity.
Touching a band: movement is strong but still consistent with historical response.
Breaking a band: indicates a regime shift, a driver disconnect, or unusually high momentum.
All of this is achieved without exposing the underlying beta calculations or normalisation logic.
CapitalFlowsResearch: Sensitivity AnalysisCapitalFlowsResearch: Sensitivity Analysis — Driver–Price Beta Gauge
CapitalFlowsResearch: Sensitivity Analysis is built to answer a very specific macro question:
“How sensitive is this price to moves in that driver, right now?”
The indicator compares bar-to-bar changes in a chosen “price” asset with a chosen “driver” (such as an equity index, yield, or cross-asset benchmark), and from that relationship derives a rolling measure of effective beta. That beta is then converted into a “band width” value, representing how much the price typically moves for a standardised shock in the driver, under current conditions.
You can choose whether the driver’s moves are treated in basis points, absolute terms, or percent changes, and optionally smooth the resulting band with a configurable moving average to emphasise structural shifts over noise. The two plotted lines—current band width and its moving average—form a simple yet powerful gauge of how tightly the price is currently “geared” to the driver.
In practice, this makes Sensitivity Analysis a compact tool for:
Tracking when a contract becomes more or less responsive to a key macro factor.
Comparing sensitivity across instruments or timeframes.
Framing expected move scenarios (“if the driver does X, this should roughly do Y”).
All of this is done without exposing the detailed beta or volatility math inside the script.
CapitalFlowsResearch: Returns Regime MapCapitalFlowsResearch: Returns Regime Map — Two-Asset Behaviour & Correlation Lens
CapitalFlowsResearch: Returns Regime Map is a two-asset regime overlay that shows how a primary market and a linked macro series are really moving together over short rolling windows. Instead of just eyeballing two separate charts, the tool classifies each bar into one of four states based on the combined direction of recent returns:
Up / Up
Up / Down
Down / Up
Down / Down
These states are calculated from aggregated, windowed returns (using configurable return definitions for each asset), then painted directly onto the price chart as background regimes. On top of that, the indicator monitors the correlation of the same return streams and can optionally tint periods where correlation sits within a user-defined “low-correlation” band—highlighting moments when the usual relationship between the two series is weak, unstable, or breaking down.
In practice, this turns the chart into a compact co-movement map: you can see at a glance whether price and rates (or any two chosen markets) are trending together, diverging in a meaningful way, or moving in choppy, low-conviction fashion. It’s especially powerful for macro traders who need to frame trades in terms of “risk asset vs. rates,” “index vs. volatility,” or similar pairs—while keeping the actual construction details of the regime logic abstracted.
Seasonality by Novatrix CapitalThe Seasonality Indicator calculates the average historical yearly performance of the selected asset by analyzing multiple user-defined lookback periods. Up to four seasonal windows (e.g., 5, 10, 15, and Max years) can be displayed simultaneously, and the year 2020 can be excluded to remove distortion from extreme market conditions.
Based on this data, the indicator generates a smooth seasonal curve that highlights typical market behavior throughout the year. This helps traders identify periods with historically higher probabilities of bullish or bearish movement.
The indicator is designed exclusively for the Daily timeframe, as all calculations rely on daily candle data.
Seasonality by Novatrix Capital provides a clean, data-driven view of recurring annual patterns and supports traders in making informed, seasonality-based decisions.
CapitalFlowsRsearch: YC RegimeCapitalFlowsResearch: YC Regime — Yield Curve Regime Histogram
CapitalFlowsResearch: YC Regime takes the same six-regime yield curve framework (bull/bear steepeners, bull/bear flatteners, and their twist variants) and presents it as a dedicated histogram panel. Instead of colouring the background of a price chart, this indicator plots the 2s–10s (or chosen pair) spread as a column series and tints each bar according to the active curve regime, with an overlaid white line to show the raw spread path through time.
By comparing how the spread itself is evolving against the regime classification, traders can see not just what the curve is doing (steepening vs flattening), but also how those moves are building, stalling, or reversing over the chosen lookback. An optional legend explains each regime and the colour mapping, making it easy to standardise interpretation across instruments and timeframes. In practice, this panel functions as a compact “yield curve dashboard” you can stack under risk assets, helping align trades with the prevailing rates environment without exposing the underlying regime logic.
CapitalFlowsResearch: YC Regime (Shading)CapitalFlowsResearch: YC Regime (Shading) — Yield Curve Environment Overlay
CapitalFlowsResearch: YC Regime (Shading) turns the yield curve into a live, colour-coded market backdrop, classifying the curve into six intuitive regimes: bull steepener, bear steepener, steepener twist, bull flattener, bear flattener, and flattener twist. Instead of staring at raw spreads or multiple rate charts, you get a simple visual answer to: “What kind of curve move am I trading in right now?”
The script compares a short-dated and long-dated yield and tracks how both the spread and the individual legs have evolved over a chosen lookback window. From that, it tags each bar with the dominant curve regime and paints either the background or the candles accordingly, so regime changes are immediately obvious on any price chart you overlay it on. An optional on-chart legend summarises the regime definitions and colour scheme, making it easy to interpret at a glance and consistent across instruments and timeframes.
In practice, this overlay acts as a rates context layer for everything else you trade—equities, FX, credit, commodities—helping you link price action back to whether the curve is bull-steepening, bear-flattening, or twisting in ways that often line up with shifts in macro narrative, policy expectations, and risk appetite, all without exposing the underlying classification logic.
Seasonality Evaluation Tool by Novatrix CapitalThis tool is designed to analyze the strength and reliability of seasonal patterns detected by the Seasonality Indicator. While the indicator displays the historical seasonal curve, this tool goes a step further by evaluating how consistent and meaningful the pattern actually is.
It checks whether a seasonal pattern is robust, distorted by outlier years, or statistically relevant. The tool calculates the average returns within the selected seasonal window and shows how reliable the pattern has been over the analyzed period.
For improved verification, the seasonal windows can be visualized directly on the chart. This allows traders to review past occurrences, perform their own backtests, and confirm the quality of the signal.
The tool serves as an ideal complement to the Seasonality Indicator by helping traders identify high-quality, data-driven seasonal trends and avoid misleading or weak patterns.
Usage:
This script is designed for the daily timeframe, as all calculations are based on daily candle data. The settings are easy to adjust, allowing any seasonal period displayed by the indicator to be evaluated quickly.
CapitalFlowsResearch: CB LevelsCapitalFlowsResearch: CB Levels — Policy Path Mapping for STIR & Rates Traders
CapitalFlowsResearch: CB Levels provides a structured, policy-anchored framework for interpreting short-term interest rate futures. Instead of treating STIR pricing as an abstract number, the indicator converts central bank settings—such as the official cash rate, expected hike/cut increments, and basis adjustments—into a clear ladder of explicit rate levels. These levels are then projected directly onto the price chart as horizontal reference bands.
The tool automatically builds a series of future policy steps (e.g., +25bp, +50bp, –25bp, etc.) based on user-defined increments and direction, allowing traders to visualise where the current contract sits relative to hypothetical central bank actions. By plotting settlement levels and multiple forward steps, the script creates a transparent “policy grid” that traders can anchor against when evaluating mispricings, risk/reward asymmetry, or scenario outcomes.
Discreet labels—placed periodically to avoid clutter—identify each policy step in bp terms, making the chart readable even when zoomed out. Whether the mode is set to Cuts or Hikes, the tool instantly recalibrates the entire ladder, offering a consistent structure for comparing different contracts or central bank paths.
In practice, CB Levels acts as a policy-path overlay for futures traders, helping them contextualise market pricing relative to central bank intent, quantify potential repricing ranges, and understand where key inflection levels lie—without revealing the underlying calculation methods that generate the steps.
A.I. 👑 Market Cipher EZ🚀 A.I. Market Cipher EZ – “Rubik’s Algo” 2025 Edition
by StupidBitcoin | Built with love & Grok’s help
Imagine a Rubik’s Cube that solves itself while the market moves — every twist and turn instantly reflected in color.
That’s exactly what this indicator does.
Two animated Rubik’s Cubes (Figure 1 & Figure 2) symbolize the dual-layer intelligence inside:
- The outer cube = Supply / Demand / Bull vs Bear forces
- The inner cube = Price / Volume / Trend (xTrend) constantly rotating to find equilibrium
The result? A living, breathing, self-adapting color language that removes noise, bias, and lag — turning complex market physics into simple visual signals even a beginner can trade confidently.
Core Engine (all running live):
• Multi-stage Kalman Filters (standard / volume-adjusted / Parkinson volatility modes)
• k-Nearest-Neighbour (k-NN) machine-learning clustering
• Dynamic VSQC scaling (the “fast Rubik”) + ultra-smooth slow Rubik
• Zero-lag Gaussian + Chebyshev filtering
• AI-driven Stochastic Money Flow % oscillator (3 % – 120 % range)
• Volume imbalance “Vector Recovery Zones” & momentum “Bounce Boxes”
• Real-time color gradients (Classic red/green or Crypto teal/purple themes)
What you actually see on the chart:
- Fast & Slow dynamic trend lines (the “speed lanes”) painted in intelligent gradients
- Stochastic Money Flow % label on every bar (green < 31 % = oversold rocket fuel | red > 69 % red = overbought rejection)
- Bollinger Width % label (optional)
- Vector Recovery Boxes (volume magnets)
- Bull/Bear Bounce Boxes (support & resistance with wick pressure)
- Market-structure squares below bars (green = bullish structure, red = bearish, yellow = neutral)
- Kalman Target marker on current bar (reduces fakeouts)
Top confirmed setups (3:1+ RR):
Longs → Green % label (< 31 %) + price on fast green line + green recovery/bounce box
Shorts → Red % label (> 69 %) + price on slow red line + red recovery/bounce box
Breakouts → Green % + fast line breakout + green structure squares
Breakdowns → Red % + slow line breakdown + red structure squares
All inputs are carefully preset with the developer’s recommended values (lookback 9 / max length 188 / accelerator 4.4 / k = 63) — just load and trade. Tweak only if you really know what you’re doing.
Disclaimer
For educational purposes only. Not financial advice. Use at your own risk. Past performance ≠ future results.
License
Released under CC BY-NC-SA 4.0 + Mozilla Public License 2.0 – free to use, study, modify and share non-commercially with attribution.
Enjoy the colors. May your trends be strong and your drawdowns short.
© 2025 Rubik’s Algo – All Rights Reserved
HSQC 👑 Hybrid SQ [RubiXalgo]HSQC 👑 Hybrid SQ — Next-Gen Institutional Order Flow & Quantum Momentum Engine
by Jesse_Geluk | RubiXalgo Research © 2024–2025
The most advanced hybrid Squeeze Momentum system ever released on TradingView.
This is not just another Squeeze indicator — it is a complete multi-dimensional trading framework that fuses:
• State-of-the-art Adaptive Kalman Filters (5 selectable periods + custom Dynamic Volume/Volatility models)
• Institutional-grade Supply/Demand Vector Zones with real-time quantum cloud clustering
• InterBank Support & Resistance levels (smart money accumulation/distribution zones)
• Breakout Candle recognition engine (28 proprietary bullish & bearish patterns)
• Dynamic VSQC (Vector-Scaled Quantum Channel) with auto-scaling lookback
• Kalman Speed Lines & Price Average for ultra-clean trend filtering
• Hidden Vector Trailing Stop system (can be toggled on/off)
• Full session box overlay with smart color-coded momentum clouds
Key Features:
✅ True overlay indicator (draws directly on price)
✅ Works on all timeframes & all markets (Forex, Crypto, Stocks, Futures)
✅ Zero repaint — 100% deterministic calculations
✅ Highly customizable — 40+ inputs grouped logically
✅ Visual ASCII art concept of the famous “Rubik’s Cube inside Rubik’s Cube” representing the interplay of PRICE × VOLUME × TREND × xTREND
✅ Professional-grade code under MPL 2.0 (open source, fully auditable)
What you’re seeing is the result of 4+ years of private institutional research now made public.
Whether you trade scalping, swing, or position — HSQC gives you the same edge that smart money algorithms use: adaptive noise filtering, real-time order-flow clustering, and predictive momentum vectors.
Turn on only what you need — from minimalistic clean charts with just the 50 & 200 Kalman to full “god mode” with quantum clouds, breakout candles, and vector zones.
Welcome to the future of technical analysis.
© Jesse_Geluk — RubiXalgo Research Division
Mozilla Public License 2.0 | Fully open-source & community driven
CapitalFlowResearch: N-ATRCapitalFlowsResearch: N-ATR — Normalised Volatility Regime Indicator
CapitalFlowsResearch: N-ATR transforms ATR into a normalised, directional volatility signal that oscillates within a fixed range. Instead of treating ATR as an absolute number—which varies widely across assets and market regimes—the tool rescales volatility into a consistent framework, allowing traders to compare conditions across instruments and timeframes without recalibrating settings.
The indicator identifies two core attributes simultaneously:
Volatility level relative to its recent environment
By normalising ATR, the script shows whether current volatility is high or low relative to its own historical context, not in arbitrary terms.
The direction of volatility pressure
A smoothing layer helps determine whether volatility is rising or falling, enabling a four-state volatility map (high → rising, high → falling, low → rising, low → falling).
These states are displayed via subtle background shading, giving a clear view of shifts in volatility regime without cluttering the chart.
A color-coded line plots the smoothed volatility signal itself, making transitions easy to spot and track over time.
Together, these features turn N-ATR into an effective volatility-regime compass—highlighting periods of compression, expansion, and volatility trend changes that often precede important market behaviour—while preserving the confidentiality of the underlying calculations.
STRAT Private Beta v2.0 – OPTIMIZED (FROZEN)Name: STRAT Private Beta v2.0 – OPTIMIZED (FROZEN)
Timeframe: Weekly only (runs every Friday after US close)
What it does in one sentence:
Scans 200+ liquid stocks, ETFs, indices, and cryptos every Friday night and instantly shows only the highest-conviction STRAT weekly setups that pass Rob Smith’s exact rules (true 2-2 continuations + Rev Strats, FTC ≥ 80 %, no broadening, no earnings weeks, 3:1 minimum R:R).
What you see every Friday after 4 pm ET:
0–12 tickers (usually 4–8) with a big green “L” (long) or red “S” (short)
Exact entry, stop, and 3R target printed on the chart and in alerts
FTC percentage (80–100 %) so you know conviction level
Nothing else – if there’s no clean setup, it stays silent
How to use it (testers only):
Click the invite link → add script to TradingView
Open the regular Stock Screener → select watchlist “STRAT Universe”
Load saved layout “STRAT Weekly Live” (or add the 4 columns)
Every Friday after close: refresh → see the short list → place 1 % risk bracket orders → done until next Friday.
Zero daily monitoring. Zero discretion. Pure frozen STRAT rules.
CapitalFlowsResearch: Vol RangesCapitalFlowsResearch: Vol Ranges — Multi-Timeframe ATR Expansion Map
CapitalFlowsResearch: Vol Ranges creates a structured volatility “roadmap” by projecting expected price extensions across multiple timeframes using ATR-based ranges. Instead of relying on a single ATR reading, the tool pulls in higher-timeframe volatility measures—such as daily and monthly expansions—and uses them to build a set of reference levels that anchor the current market against where it should trade under normal volatility conditions.
The script does two things simultaneously:
Projects volatility-derived target bands
It computes a set of upper and lower expansion levels (e.g., +100%, +50%, –50%, –100%) around prior closing levels on different timeframes. These levels act as structural markers for expected movement, allowing traders to quickly recognise when price is behaving within typical bounds or pressing into statistically stretched territory.
Displays a live dashboard for interpretation
A fully configurable on-chart table displays:
Recent volatility readings
Today's reference ranges
Distance from current price to each expansion level
Whether today's movement is expanding or contracting relative to prior volatility
This gives traders a compact situational summary without cluttering the price chart.
Optional high-timeframe projection lines can also be plotted directly on the chart, updating once per new day or new month, making it easy to visually align intraday price action with broader volatility structure.
In practical terms, Vol Ranges functions as a multi-timeframe volatility compass—highlighting when markets are trading inside normal ranges, when they are beginning to stretch, and when they may be entering conditions supportive of momentum or reversal behaviour. All core mechanics remain abstracted, preserving the proprietary nature of the volatility framework.
A.I. 👑 Optimus Prime [RubiXalgo]**A.I. Optimus Prime – The Ultimate Color-Coded AI Trading Indicator**
No equations. No guesswork. Just traffic lights for trading.
🔥 Green = BUY / Long
🔥 Red = SELL / Short
🔥 Yellow = Wait & Watch
Powered by real AI & Machine Learning (Kalman Filters + LOWESS + k-NN + adaptive coloring), this indicator turns complex price & volume data into an instantly readable visual system that works on any market and any timeframe.
### What You Get on Your Chart
- Fast & Slow AI Trend Lines (green = uptrend, red = downtrend)
- Liquidation Window™ – exact stop-loss (red), entry, and 3 take-profit levels (circle → diamond → star)
- Volume Profit-Trend Line – curved AI prediction of next price move
- Dynamic Volume Profile Channel – shows real high-volume support/resistance zones
- Multi-Timeframe Average Lines + Trend Direction Table
- Gradient Candle Coloring + Big Target Dot on last bar
- Speed-Lane fill between fast/slow lines
- Everything fully customizable & toggleable
### Top High-Probability Setups Built In (3:1+ RR)
Longs:
1. Bullish Liquidation Bounce
2. Green Trend Breakout
3. Volume Support Surge
Shorts:
1. Bearish Liquidation Drop
2. Red Trend Breakdown
3. Volume Resistance Fade
Just wait for the colors to align and execute – the indicator does the thinking for you.
### Why Traders Are Switching to A.I. Optimus Prime
✅ 100% visual – perfect for beginners (“green = buy”)
✅ Deadly accurate in expert hands (confluence of trend + volume + liquidation zones)
✅ Adapts automatically to current market volatility
✅ Saves accounts with precise stop-loss & target zones
✅ One indicator replaces 10+ traditional tools
Green window + green volume trend + green fast line = LONG
Red window + red volume trend + red fast line = SHORT
Asset Comparison Oscillator by Novatrix CapitalThe Asset Comparison Oscillator compares the currently selected asset with a user-defined reference symbol to identify periods of relative overvaluation and undervaluation.
The concept is based on the idea that markets tend to revert to fair value. When an asset is mispriced relative to a meaningful benchmark, there is a higher likelihood of price correction.
This indicator converts this relationship into an easy-to-read oscillator:
Green Zone (Undervalued) – The asset is cheap relative to the reference symbol, indicating potential upward pressure.
Red Zone (Overvalued) – The asset is expensive relative to the reference symbol, indicating a higher likelihood of downward movement.
Users can choose any relevant reference instrument, such as indices, commodities, or currency pairs. The calculation uses a configurable cycle (default: 10 days).
This indicator is designed for the daily timeframe only, as shorter intervals may not accurately reflect fundamental value relationships.
The Asset Comparison Oscillator provides a clear, data-driven view of relative valuations and helps traders make informed directional decisions.
CapitalFlowsResearch: CS CorrelationCapitalFlowsResearch: CS Correlation — Multi-Asset Correlation Radar
CapitalFlowsResearch: CS Correlation provides a real-time view of how closely a chosen “base” market is moving relative to a basket of other assets. Instead of relying on a single method, the tool allows you to transform each series (price, log-price, normalized score, or short-term returns) before correlation is calculated. This gives traders the flexibility to analyse relationships on the basis most relevant to their strategy—whether they care about trend alignment, return co-movement, or standardized behaviour.
Each comparison asset is evaluated independently using a rolling lookback window, producing a clean set of correlation lines that update bar-by-bar. The tool is deliberately modular: symbols can be switched on or off individually, and the chart remains uncluttered while still capturing broad cross-asset dynamics. A compact on-chart legend displays the latest correlation reading for each active symbol, making it easy to interpret at a glance.
Conceptually, the indicator helps highlight when normally-linked assets begin to diverge, when new relationships begin to strengthen, or when markets move into low-correlation regimes often associated with macro shifts, liquidity changes, or turning points. It functions as a correlation heatmap in time-series form, offering structural insight without exposing the underlying computation or weighting logic.
