VLB Cycle Market ToolThe VLB Dynamic Levels Tool provides a visual framework for observing price structure on XAUUSD.
It displays automatically generated levels based on a rules-based approach, allowing traders to study how price interacts with important reference areas on the chart.
The tool updates dynamically as market structure evolves, reflecting changes in price movement without requiring manual redrawing.
Its purpose is to offer a clear, consistent layout of structural levels that users can incorporate into their own market analysis.
Features:
Automatically displayed structural reference levels
Dynamic recalculation as new highs and lows form
Neutral, non-predictive visual layout
A consistent framework for studying price behavior
This tool does not generate trading signals or provide predictive information.
It simply organizes price structure into visual reference points that may assist users in their independent chart analysis.
Traders remain fully responsible for their own interpretation, timing, and risk management.
The VLB Dynamic Levels Tool is intended for those who prefer a clean and adaptable way to observe XAUUSD structure throughout changing market conditions.
Volatilidad
VLB Dynamic Market Structure ToolAdaptive Structural Continuation Framework for XAUUSD
The VLB Dynamic Market Structure Tool is a proprietary, rules-driven market structure framework designed specifically to analyze price continuation behavior in XAUUSD under live market conditions.
This tool does not plot static support and resistance.
Instead, it provides a continuously adapting structural model that reorganizes itself around current price, allowing traders to observe acceptance, rejection, and expansion behavior between key structural zones.
Core Conceptual Foundation
The framework is built on three integrated components that work together as a single methodology:
1. Dynamic Price-Anchored Structural Range
Unlike traditional indicators that rely on fixed historical levels, this tool anchors its entire structural range to live market price.
As price migrates:
Levels that are no longer relevant are automatically removed
New forward-relevant levels are introduced
The framework re-centers itself around active price action
This ensures that the trader is always viewing current, actionable structure, without manual redrawing or chart repositioning.
2. Evenly Spaced Structural Reference Levels
Within the dynamically anchored range, price is organized into consistent structural intervals that frequently act as transition points in XAUUSD price behavior.
These levels serve as objective reference boundaries, allowing traders to:
Compare reactions across identical structural distances
Observe recurring price behavior in a normalized framework
Maintain consistency across different sessions and market conditions
The levels are contextual, not predictive.
3. Post-Break Acceptance & Expansion Zones
The framework distinguishes between:
Initial structural breaks that fail or retrace
Confirmed acceptance beyond a defined offset from the level
Expansion phases as price transitions toward the next structural interval
By visualizing this sequence, the tool allows traders to study continuation behavior only after confirmation, rather than reacting to first-touch or initial breakouts.
Adaptive Behavior (Why This Is Not Static S&R)
A defining feature of the VLB Dynamic Levels Tool is its continuous recalculation and real-time adaptation:
The visible structure evolves with price
The framework moves up or down as market conditions change
Historical clutter is intentionally removed to preserve clarity
The trader’s focus remains on the active trading environment
This adaptive behavior is integral to the methodology and cannot be replicated through manual drawing or static indicators.
Intended Use
This tool is designed for discretionary traders who:
Study market structure, acceptance, and momentum
Prefer confirmation-based continuation frameworks
Value rule-based consistency over subjective interpretation
Combine structural context with their own execution, fundamentals, and risk management
The indicator does not generate automated buy or sell signals and does not execute trades.
Important Disclosures
No performance or outcome is guaranteed
No predictive claims are made
All trading decisions remain the responsibility of the user
Summary
The VLB Dynamic Levels Tool provides a self-adjusting, structurally consistent framework for observing how XAUUSD price transitions between key zones in real time.
Its proprietary value lies in the integration of dynamic price anchoring, structural normalization, and post-break acceptance visualization, offering a methodical way to study continuation behavior in changing market conditions.
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes:
Location of each datapoint in corresponding fields (price, time, volume)
Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations
Innovation in state space (in our case = volatility)
The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool.
As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD
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Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away.
Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field
Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting.
Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...).
Signal weights: encode actuality/importance/relevance of datapoints.
Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way!
Signal = information.
The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time.
First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time.
Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion.
The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page.
Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that.
When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc
Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it.
^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script .
Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility.
Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns.
Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments.
Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else.
...
It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request.
...
∞
Hybrid CCI Scalper ProHybrid CCI Scalper Pro is a sophisticated trading system designed to solve the biggest problem in scalping: False Signals in Choppy Markets.
Unlike standard CCI indicators that fire on every crossover, the HCS Pro uses a Hybrid Logic Engine that distinguishes between high-probability Trend Continuations and powerful Reversal Setups. It processes every potential entry through a 6-factor "Quality Filter" before generating a signal.
Core Features:
1. The Hybrid Signal Engine The script identifies two distinct market conditions:
TREND Mode: Triggers when price is aligned with the Daily/Local trend AND the CCI angle is steep.
REVERSAL Mode (REV): Triggers only on Extreme Momentum (steep angle) combined with a Zero-Line cross, allowing you to catch tops and bottoms without waiting for lagging trend indicators.
2. The Quality Scoring System (Q-Score) Every signal is rated from 0 to 6 stars based on confluence. The signal label shows Q: 4/6, Q: 5/6, etc.
Score 4+: High probability (Recommended).
Score 6: "The Perfect Storm" – All filters (Trend, Volume, RSI, ADX) align.
3. The "Ironclad" Filters To eliminate fake-outs, the script enforces strict rules:
Candle Color Guard: Never Buys on a Red candle or Sells on a Green one.
Angle validation: Flat CCI movement is ignored.
MTF Trend: Checks the Daily timeframe (D1 EMA) to ensure you aren't scalping against the major flow.
Noise Filter: Uses ATR and Volume to ignore low-volatility "dead" markets.
4. The Information Panel A clean dashboard on the top-right displays real-time metrics:
Current Daily Trend (Bull/Bear)
Momentum Strength (Weak/Strong/Extreme)
ADX Power (Trending vs Ranging)
Live Signal Score
How to Trade:
BUY Signal: Look for a Green Triangle. Ideally, the Label should say TREND or REV with a Quality Score of 4/6 or higher.
SELL Signal: Look for a Red Triangle with a high Quality Score.
No Signal? If the panel says "WAIT" or the score is low, the market is likely choppy. Stay out.
Recommended Settings:
Gold (XAUUSD): Works best on 15m.
Forex (EURUSD): Works well on 5m - 15m.
Default settings are optimized for a balance between frequency and accuracy.
Simple ATR Volatility Context v1.0This indicator provides a simple visual view of market volatility using ATR expressed as a percentage of price. It is designed to help identify when a market transitions from low-activity (compression) to higher-activity (expansion).
What it does
Calculates ATR as a percentage of price
Highlights the chart when volatility exceeds a user-defined threshold
Helps distinguish between quiet markets and trade-worthy conditions
How to use it
Green background indicates elevated volatility
Neutral / muted background indicates low volatility
Use alongside your own trend, structure, or entry tools
What this is not
Not a buy or sell signal
Not predictive
No performance claims
This tool is intended for market context and awareness, not standalone trading decisions.
Supply-Demand Dominance & Energy RibbonOverview:
This indicator is specifically fine-tuned for the Nasdaq (NAS100) market. It combines volume-based Delta analysis (Supply-Demand) with price kinetic energy (Slope) to identify high-probability reversal points and trend strength.
Key Features & Usage:
Supply-Demand Dominance (Top-Right Label):
Analyzes volume spikes over a 50-period lookback to determine market control.
Displays "매수 우위" (Bullish Dominance) or "매도 우위" (Bearish Dominance) in real-time.
Energy Ribbon (Bottom Visualization):
Calculates the slope of the TCI oscillator to visualize momentum intensity.
Solid Green/Red: Strong momentum.
Faded Green/Red: Weakening momentum or minor trend.
Momentum Combo Signals (Circle Shapes):
Triggered when WaveTrend and TCI oscillators cross in extreme zones (Overbought 70 / Oversold 30).
Smart Filter: Signals are only shown when they align with the current Supply-Demand dominance, reducing "market noise."
Volume Spikes (Arrow Symbols):
Indicates abnormal volume activity (1.5x average delta). These arrows (↑/↓) help identify potential breakout points or the climax of a move even when a full combo signal isn't present.
Falcon 1Introducing the MyFXSchool Falcon 1Leading Indicator™, a next-generation market prediction tool designed exclusively for traders who want accuracy, clarity, and early trend identification. Built using advanced price-action logic, institutional order-flow concepts, and dynamic volatility algorithms, this indicator gives you a true leading advantage—not just lagging signals.
Falcon 2Introducing the MyFXSchool Falcon 2 Leading Indicator™, a next-generation market prediction tool designed exclusively for traders who want accuracy, clarity, and early trend identification. Built using advanced price-action logic, institutional order-flow concepts, and dynamic volatility algorithms, this indicator gives you a true leading advantage—not just lagging signals.
TRADING NAVIGATOR📘 TRADING NAVIGATOR OPERATIONS MANUAL
This manual is designed to turn the script into your complete trading plan.
1. The Golden Rule: Planetary Alignment
Success with this script is not about trading every signal, but waiting for the confluence. Golden Trick: Do not trade on low timeframes (15M) if the trend on the higher timeframe (4H or D) is contrary. The Master Signal: Enter when the RELIABILITY column marks "HIGH" on at least 3 consecutive timeframes.
2. How to open a LONG (Buy) position: Look for these exact conditions on the board: TREND: It should say "BULLISH" (Price above the 200 EMA). ACTION: It should be marked LONG. ENTRY: The price should be near or touching the value indicated in the SUPPORT column. RSI: Ideally between 35 and 45 (healthy pullback) or crossing above 30. Execution: Place your limit order at the ENTRY price on the chart. The TP and SL are your mandatory exit coordinates.
3. How to open a SHORT (Sell) position: Look for these exact conditions on the board: TREND: It should say "BEARISH" (Price below the 200 EMA). ACTION: It should be marked SHORT. ENTRY: The price should be near or touching the value indicated in the RESIST column. (Resistance). RSI: Ideally between 55 and 65 or crossing below 70. Execution: Limit order at the ENTRY price on the chart. Don't chase the price; let it rise to the resistance to enter.
4. Golden Tricks to Gain Consistency: The Volatility Filter: If the VOLAT column shows "HIGH," reduce your position size by half. High volatility means sharp movements that can hit your SL before reaching the TP. The Timeframe Jump: If you see a LONG position on the 15M chart but the trend on the D (Daily) chart is BEARISH, that trade is high risk (pure Scalping). If both are BULLISH, you have a "High Probability Trade." RSI as a sentinel: If the RSI is at 50, the market is indecisive. Wait for it to approach the extremes (30 or 70) so that the Navigator's ACTION has more rebound strength.
5. Recommended Markets:
The TRADING NAVIGATOR is a structure and volatility algorithm, so it works where there is liquidity: Market | Effectiveness | Why |
Cryptocurrencies | ⭐⭐⭐⭐⭐ ATR volatility is best exploited in BTC and ETH. |
Indices (Nasdaq/SP500) | ⭐⭐⭐⭐ Ideal for following the TREND column (EMA 200). |
Forex (Majors) | ⭐⭐⭐ Use it on high-volume pairs (EURUSD, GBPUSD). |
Gold / Oil | ⭐⭐⭐⭐ Very sensitive to the support and resistance levels calculated by the script. |
6. Risk Management (Psychology) | Accepts Stop Loss: The script calculates the SL at 2.0x ATR to give the price "breathing room". If it is touched, the structure has been broken. Don't move the Stop Loss. Partial Taking: When the price has moved 50% of the way to the Take Profit, move your Stop Loss to the ENTRY (Breakeven) price. This ensures that the trade can no longer result in losses.
ATR Volatility FilterA Basic Volatility Filter
3 Modes
1- Absolute ATR filter
2- Filter Based on ATR threshold relative percentage of the price
3- ATR Threshold relative to its moving average
@tom_w777 Turtles Systems with 2N marks//// @tom_w777
//// 2 systems from the Turtles trading system, including S1 and S2 2N marks for the drawbacks to enter an existing trend
//// data to program it taken from the book : "the complete turtle trader" from Michael W. COVEL
/////////
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events.
🔶 Advanced SMA-MAD Band Construction
Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations.
// Core SMA-MAD Framework
SMA_Value = ta.sma(close, SMA_Length)
Mean = ta.sma(close, MAD_Length)
Abs_Deviation = abs(close - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Adaptive Bands
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
🔶 Intelligent Dual-Filter System
Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations.
🔶 Dynamic Trend Strength Engine
Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements.
🔶 Super Trend-Style Direction Logic
Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility.
🔶 ATR-Based Ribbon Visualization
Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions.
🔶 Multi-Dimensional Visual Architecture
Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components.
🔶 Slope Strength Validation
Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position.
🔶 Signal Generation Framework
Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag.
🔶 Performance Optimization Framework
Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates.
This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Bar HL Distribution - XWiseTradeBar HL Distribution - XWiseTrade
Analyze the distribution of High-Low ranges over the last N bars.
This indicator groups candle ranges (in ticks) into bins and displays:
• Count per bin
• Percentage and cumulative %
• Visual histogram bars
Perfect for understanding typical volatility, setting realistic targets/stops, and spotting unusual bar sizes.
Features:
• Adjustable lookback and bin size
• Clean table with truncation warning
• Lightweight and always up-to-date
More premium indicators and strategies coming soon at:
xwisetrade.com
Be Wise. Trade X.
VuManChu Strategy [ADX + Vol + Risk] - Good for BTC- The strategy uses the VuManChu WaveTrend oscillator
- Before entering any trade, the ADX filter must show a reading above 25. For more reliable momentum moves
- Three-Layer Exit System:
Fixed Stop Loss (3%): Hard stop placed 3% below entry for longs (above for shorts) to limit maximum loss per trade. This accommodates typical BTC 5-minute volatility without premature stopouts.
Take Profit Target (9%): Fixed profit target at 9% providing a 1:3 risk-reward ratio. This means you only need a 40-50% win rate to be profitable overall.
Conditional Trailing Stop: The most sophisticated protection - a trailing stop that only activates after the trade reaches 4.5% profit (halfway to target). Once activated, it trails price by 2%, locking in gains while still allowing the trade to reach the full 9% target.
Frequency AnalyzerFREQUENCY ANALYZER
This indicator is called Frequency Analyzer to analyze the movement of volatility explosion, to detect exploding candles, before they explode. The indicator only describes large volatility would happen in the future, but we don't know, it's volatility as a buy or sell transaction. Of course this has an impact on whether the candle after that occurs a rally or a drop.
That this is useful for detecting exploding candles before exploding, to detect super bullish before bullish, or detect super bearish before bearish. If the candle is in the support position and there is the Spike Bar on Frequency Analyzer, that high probability the exploding volatility becomes a rally. Conversely, if the candle position is in the resistance and there is the Spike Bar on Frequency Analyzer, that high probability the exploding volatility becomes a drop. So this is an indicator to detect exploding candles before they explode, the candles become super rally or super drop.
XAUUSD M15 momentum realDetects when xausd enters a healthy directional phase during the NY session, and only flags entries with real momentum and controlled volatility.
Offset Bollinger Bandsbollinger band offset by 10 period. Appied on daily time frame for entry and exit
ATR + Moving AverageThis indicator shows a manually calculated Average True Range (ATR) along with a moving average of the ATR.
The ATR measures current candle volatility.
The ATR Moving Average shows the average candle size over the selected period.
Both can use different smoothing types (RMA, SMA, EMA, WMA) for flexibility.
It’s useful for seeing when price is stretched, volatility is expanding or contracting, and for higher-timeframe mean-reversion analysis.
BBMA by RWBTradeLabBBMA by RWBTradeLab
A clean, non-repainting BBMA indicator built for traders who combine Bollinger Bands with Linear Weighted Moving Averages and EMA to track volatility expansion, price extremes, and confirmed breakout behavior using closed candles only.
What this indicator does
This script combines Bollinger Bands (20, 2) with Linear Weighted Moving Averages (LWMA) and a 50 EMA to help traders identify high-probability price extension zones and confirmed BBMA break conditions—without repainting.
All calculations and alerts are based strictly on closed candles (no running-bar signals).
Core components
Bollinger Bands
*Period: 20
*Deviations: 2
*Apply to: Close
*Visual shift supported (default 0)
*Clean white band structure for clarity
Linear Weighted Moving Averages (LWMA)
*LW MA 5 Low
*LW MA 10 Low
*LW MA 5 High
*LW MA 10 High
These weighted averages react faster to recent price action and help define dynamic BBMA zones.
Exponential Moving Average
*EMA 50
*Apply to: Close
*Method: Exponential
Used as a higher-timeframe trend and structure reference.
BBMA alert logic (closed candle only)
Lower BBMA Break
Triggered when:
*LW MA 5 Low crosses below the Lower Bollinger Band
*The candle closes below the Lower Bollinger Band
*LW MA 5 Low remains below the Lower Bollinger Band after close
Upper BBMA Break
Triggered when:
*LW MA 5 High crosses above the Upper Bollinger Band
*The candle closes above the Upper Bollinger Band
*LW MA 5 High remains above the Upper Bollinger Band after close
⚠️ No alerts are generated on running candles—only on confirmed bar close.
Visuals on chart
*Bollinger Bands plotted in clean white
*LW MAs color-coded for easy distinction
*EMA 50 plotted in green
*Optional show/hide toggles for BB, LW MAs, and EMA
Alerts
Built-in alerts trigger only on candle close:
*BBMA Lower Break (confirmed)
*BBMA Upper Break (confirmed)
Designed for reliable discretionary trading and automation without repainting issues.
Key settings
*BB Period & Deviations
*LW MA periods (5 & 10, High / Low)
*EMA period
*Visual shift for Bollinger Bands
*Individual visibility toggles
Non-repainting confirmation
All calculations, plots, and alerts are based on confirmed candles only.
No running-bar logic → no repainting.
Disclaimer
This indicator is a technical analysis tool, not financial advice.
Trading involves risk—always use proper risk management and confirm signals with your own analysis.
Creator: RWBTradeLab
If you find this indicator useful, please leave a like ⭐ and share your feedback.
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.
Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading.
Technical Composition, Calculation, Key Components & Features
📌 Kijun Sen (基準線) – Structural Trend Baseline
Calculated as the midpoint between the highest high and lowest low over a user-defined period.
Represents market equilibrium and structural balance rather than short-term momentum.
Naturally adapts to expanding and contracting price ranges.
Provides a stable baseline for regime detection and volatility validation.
Acts as the anchor for deviation bands and persistent trend-state logic.
Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation.
📌 Volatility Adjustment – Standard Deviation Bands
Standard deviation is calculated over a configurable lookback to measure current price dispersion.
Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
Band width expands during volatility surges and contracts during consolidation.
Creates proportional, volatility-aware thresholds instead of static offsets.
Visually represents market energy through expanding and compressing channels.
These adaptive bands ensure that trend signals only occur when volatility supports directional movement.
📌 Trend Signal & Regime Calculation
Bullish Trend is confirmed when price closes above the upper deviation band.
Bearish Trend is confirmed when price closes below the lower deviation band.
Once established, the trend state persists until an opposing volatility break occurs.
This persistence reduces whipsaws and improves regime stability.
Trend state is reinforced with color-coded lines, envelopes, and background shading.
This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.
How It Works in Trading
✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
✅ Noise Suppression – Filters low-energy price movement within volatility envelopes.
✅ Regime Persistence – Maintains trend state until statistical invalidation.
✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance.
Visual Representation
Trend signals are displayed directly on price using both line and background context:
🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
Semi-transparent band fill visualizes volatility expansion and compression.
Buy and Sell labels appear only on confirmed regime transitions.
The lower panel includes:
Strategy equity curve based on trend exposure.
Buy & Hold equity for performance comparison.
Background regime shading synchronized with trend state.
Features and User Inputs
The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:
Kijun Sen Length – Controls structural trend sensitivity.
Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
Backtesting & Date Filters – Define evaluation periods and starting conditions.
Display Options – Toggle labels, equity curves, and background shading.
Color Customization – Fully configurable buy/sell colors for trends and equity curves.
These controls allow users to balance responsiveness, stability, and clarity without overfitting.
Practical Applications
The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.
Primary Trend Filtering – Identify and stay aligned with dominant market direction.
Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
Risk-Managed Exposure – Avoid chop during compression and transitional phases.
Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.
This framework bridges classical Ichimoku structure with modern statistical validation.
Conclusion
The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.
Rather than attempting to predict price, it focuses on confirming when trends are statistically justified .
Who should use Kijun Sen Standard Deviation:
📊 Trend-Following Traders – Stay aligned with dominant market structure.
⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions.
🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.
Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.
Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
London BoxThis indicator specifically optimized for intraday trading strategies.
HOW IT WORKS
Volume and Volatility Analysis:
The opening hours of the London session represent periods when trading volume and volatility typically peak. The indicator is designed to visualize this specific window to highlight the initial market direction and range.
Daily Redraw and Custom Timing:
The boxes are redrawn daily at a user-defined time between 18:00 and 23:30 (UTC+3). This allows traders to refresh their intraday zones consistently according to their preferred daily routine or market close bias.
Timeframe Filtering:
The script is designed to operate on specific timeframes.
Visual Customization:
The box color, background transparency, and the width can be fully adjusted in the settings
KEY FEATURES
Automatic Daily Updates:
Automatically calculates and draws the London session range every single day.
Adjustable Redraw Time:
It offers the flexibility to choose when the box appears on the chart.
Trend Consensus Engine [TCE]The Trend Consensus Engine (TCE) is a comprehensive market analysis system designed to filter out noise and provide a quantifiable "Trend Score" (0-100). Instead of relying on a single indicator, this script aggregates data from multiple market factors—volatility, momentum, and trend structure—to generate high-probability entry signals based on a consensus logic.
This tool is particularly optimized for Crypto (with specific time-gated logic) and BIST (Borsa Istanbul) markets, allowing traders to see the overall health of the trend at a glance via a dashboard.
How It Works
The engine calculates a composite "Total Score" (0-100) derived from four weighted components:
Trend Structure (AlphaTrend & Guppy):
Analyzes the slope and position relative to the AlphaTrend (Credit to @KivancOzbilgic) and Guppy Multiple Moving Averages (GMMA).
Positive slopes and price action above key levels add points to the score.
Volatility & Momentum (Squeeze & ADX):
Incorporates the Squeeze Momentum logic (Credit to @LazyBear) to detect explosive moves.
ADX Filter: Filters out chopping/ranging markets. If the ADX is too low, the score is penalized or the signal is blocked.
Dynamic Resistance (MA Channels):
Uses a combination of Donchian Mid-Lines and SMAs to determine if the price is in a "safe zone" or hitting resistance.
Price Action Filters (Pinbar Veto):
Automatically detects bearish "Shooting Star" or weak candles at highs. If a bearish pinbar is detected, the entry signal is vetoed regardless of the trend score.
Features & Settings
Smart Scoring Dashboard: Displays the realtime Score, Instant Decision, and confirmed Close Decision on the chart.
Market Profiles:
Crypto Mode: Includes a "Time Gate" feature (07:00 UTC+3 check) to prevent fakeouts during low-liquidity hours.
BIST Mode: Optimized parameters for the Turkish stock market logic (14:00 session checks).
Score Threshold: Users can adjust the minimum score required (Default: 70) to trigger a "BUY" signal.
Visual Guidance: The background of the dashboard changes color (Green/Red/Yellow) based on the consensus.
How to Use
Check the Dashboard: Look at the "SONUÇ" (Result) row.
GİRİŞ ✅ (ENTRY): The Score is above 70, Momentum is positive, and no Bearish Pinbars are present.
BEKLE ⏳ (WAIT): The trend is weak, or a filter (like ADX or Squeeze) is blocking the trade.
Confirm with Price Action: Use the AlphaTrend lines (Blue/Red) as dynamic support/stop-loss levels.
Credits:
AlphaTrend by KivancOzbilgic
Squeeze Momentum Indicator by LazyBear
VuManChu Cipher concepts for inspiration.
Custom Logic: Scoring algorithm and Time-Gating mechanisms are original custom developments.
Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Genesis Vector Ontology [GVO]Overview:
The Genesis Vector Ontology (GVO) is a high-fidelity market analysis tool designed to identify the "Birth" (Genesis) of market trends by calculating the transition from potential energy to kinetic movement. It treats price action not as a random walk, but as a vibrational field that "collapses" into a directional vector when market mass and tension reach a critical threshold.
Core Mathematical Logic:
Ontological Potential (Ψ): Based on the volatility-vibration principle, Ψ measures the energy stored in the price field. Using a normalized standard deviation, the script identifies "Squeeze" states where energy is compressed and ready for release.
Gravitational Mass (g(m)):
Unlike traditional volume indicators, GVO calculates "Mass" as a ratio of current volume relative to a moving average. A move is only considered "Real" (Ontologically Actualized) if it exceeds the user-defined Mass Threshold.
The Vector Resultant: The final Genesis Vector is the product of Potential, Mass, and Directional Momentum ($Vector = \Psi \cdot g(m) \cdot Direction$). This provides a smoothed representation of the true market wave, filtering out noise.
The Mizan (Fairness) Filter: Unique to the GVO framework is the Fairness Filter. By integrating the Money Flow Index (MFI), the script monitors "Greed" and "Fear" zones. It prevents entries in "Unfair" zones (extremes), ensuring that signals occur only when the market is in a state of balanced participation.
How to Use:
Charging (Grey Columns): Market is in a Squeeze state. Energy is building.
Release (Green/Red Columns): Ontological collapse detected. A new vector has been born.
GVO Signals: Labels appear when a Squeeze is released with high-mass confirmation and directional clarity.
