stelaraX - Heikin AshistelaraX – Heikin Ashi
stelaraX – Heikin Ashi is a price-smoothing indicator that transforms standard candlestick data into Heikin Ashi candles. By averaging price values, it reduces market noise and makes trend direction and momentum easier to read directly on the chart.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation
stelarax.com
Core logic
Heikin Ashi candles are calculated using averaged price values instead of raw open and close data.
Each candle is derived from:
* averaged open based on the previous Heikin Ashi candle
* averaged close based on the current candle’s OHLC values
* high and low adjusted to reflect the full price range
This calculation smooths price action and filters out short-term volatility, allowing trends to appear more consistent and structured.
Visualization
The script plots custom Heikin Ashi candles directly on the price chart:
* bullish candles displayed in a configurable bullish color
* bearish candles displayed in a configurable bearish color
* candle bodies, wicks, and borders are fully color-aligned
The result is a clean and uniform visual representation of trend strength and direction.
Use case
This indicator is intended for:
* identifying and following market trends
* reducing noise in choppy market conditions
* improving trend clarity for discretionary trading
* confirming trend direction in combination with other indicators
* simplifying price structure for higher-level analysis
For traders who want to combine smoothed price action with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Wskaźniki i strategie
stelaraX - EnvelopestelaraX – Envelope
stelaraX – Envelope is a price channel indicator based on a moving average with fixed percentage bands above and below the average. It is designed to visualize dynamic support and resistance zones and highlight potential overextended market conditions.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation
stelarax.com
Core logic
The indicator calculates a central moving average using either:
* exponential moving average (EMA)
* simple moving average (SMA)
Upper and lower envelope bands are then derived by applying a fixed percentage offset to the moving average.
The distance between price and the envelope bands reflects relative market extension. Price near or beyond the outer bands may indicate overbought or oversold conditions depending on context and trend direction.
Visualization
The script plots:
* the central moving average
* an upper envelope band
* a lower envelope band
The area between the upper and lower bands is softly filled to improve visual clarity and make price deviations easy to identify at a glance.
Use case
This indicator is intended for:
* identifying dynamic support and resistance zones
* detecting overextended price conditions
* mean reversion and pullback analysis
* trend-following confirmation when combined with other indicators
* channel-based trade planning
For traders who want to combine classical price channels with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - StochasticstelaraX – Stochastic
stelaraX – Stochastic is a momentum oscillator designed to compare the current closing price to the recent price range over a defined period. It helps identify overbought and oversold conditions and provides early signals for potential momentum shifts.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation.
stelarax.com
Core logic
The Stochastic oscillator is calculated using three configurable parameters:
* %K lookback period
* %K smoothing
* %D smoothing
The indicator consists of:
* the %K line, representing raw momentum
* the %D line, a smoothed moving average of %K
Momentum is considered bullish when %K is above %D and bearish when %K is below %D. Crossovers between %K and %D can indicate potential trend shifts.
Visualization
The script plots:
* the %K line
* the %D line
* a configurable overbought level
* a configurable oversold level
The area between the overbought and oversold levels is visually highlighted, allowing quick identification of extreme momentum conditions.
Use case
This indicator is intended for:
* identifying overbought and oversold market conditions
* spotting early momentum reversals
* confirming trend continuation or exhaustion
* divergence analysis between price and momentum
For traders who want to combine classical oscillators with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
JangoTrade_OptionsSignals to help trade using below parameters, do not blindly follow the indicator, use along with MACD and RSI for confirmation, the script is for educational purpose only
Premarket high/low
Opening Range (5Minutes( High/Low
ADX momentum
20 EMA High and Low
stelaraX - RSIstelaraX – RSI
stelaraX – RSI is a momentum oscillator designed to measure the speed and magnitude of recent price changes. It helps identify overbought and oversold market conditions while providing a clear view of momentum shifts and potential reversals.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation.
stelarax.com
Core logic
The Relative Strength Index is calculated using a user-defined lookback period and compares average gains to average losses over that period.
Key elements include:
* RSI value oscillating between 0 and 100
* overbought level to identify stretched bullish conditions
* oversold level to identify stretched bearish conditions
* a central 50 level to distinguish bullish and bearish momentum regimes
When RSI is above 50, momentum is considered bullish. When RSI is below 50, momentum is considered bearish.
Visualization
The script plots:
* the RSI line
* a configurable overbought level
* a configurable oversold level
* a neutral midline at 50
The area between overbought and oversold levels is visually highlighted, making momentum zones easy to interpret at a glance.
Use case
This indicator is intended for:
* identifying overbought and oversold conditions
* spotting momentum shifts and potential reversals
* confirming trend strength and continuation
* divergence analysis between price and momentum
For traders looking to combine classical momentum tools with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - Ichimoku CloudstelaraX – Ichimoku Cloud
stelaraX – Ichimoku Cloud is a complete trend and market structure indicator based on the traditional Ichimoku Kinko Hyo system. The indicator visualizes trend direction, momentum, and support and resistance zones using a single integrated framework.
For advanced AI-based chart analysis and automated multi-indicator interpretation, visit stelarax.com
Core logic
The indicator calculates all main Ichimoku components using configurable periods:
* Tenkan-Sen is calculated as the midpoint of the highest high and lowest low over a short period
* Kijun-Sen is calculated as the midpoint over a medium period
* Senkou Span A is the average of Tenkan-Sen and Kijun-Sen and is projected forward
* Senkou Span B is the midpoint over a longer period and is projected forward
* Chikou Span represents current price shifted back by the displacement value
This structure provides a complete view of trend, momentum, and equilibrium.
Visualization
The script plots all Ichimoku elements directly on the chart:
* Tenkan-Sen and Kijun-Sen lines
* Chikou Span plotted backward
* Senkou Span A and Senkou Span B projected forward
* filled cloud area between Senkou spans
The cloud color dynamically reflects bullish or bearish conditions depending on the relationship between Senkou Span A and Senkou Span B.
Use case
This indicator is intended for:
* identifying overall trend direction and strength
* spotting dynamic support and resistance zones
* evaluating momentum and trend continuation
* filtering trades using cloud bias
* multi-timeframe trend alignment
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Gann 999//@version=5
indicator("Gann Square of Nine HA Pivot Levels", overlay=true)
// ===== USER INPUT =====
haPivot = input.float(3339.33, "HA Pivot")
degreeStep = input.int(45, "Degree Step (Default 45°)")
// ===== CALCULATIONS =====
root = math.sqrt(haPivot)
step = degreeStep / 360.0
// Function to calculate level
gannLevel(multiplier) =>
math.pow(root + (step * multiplier), 2)
// R levels
R1 = gannLevel(1)
R2 = gannLevel(2)
R3 = gannLevel(3)
R4 = gannLevel(4)
R5 = gannLevel(5)
R6 = gannLevel(6)
R7 = gannLevel(7)
R8 = gannLevel(8)
R9 = gannLevel(9)
// S levels
S1 = math.pow(root - (step * 1), 2)
S2 = math.pow(root - (step * 2), 2)
S3 = math.pow(root - (step * 3), 2)
S4 = math.pow(root - (step * 4), 2)
S5 = math.pow(root - (step * 5), 2)
S6 = math.pow(root - (step * 6), 2)
S7 = math.pow(root - (step * 7), 2)
S8 = math.pow(root - (step * 8), 2)
S9 = math.pow(root - (step * 9), 2)
// ===== PLOTTING =====
plot(haPivot, "HA Pivot", color=color.yellow, linewidth=2)
plot(R1, "R1", color=color.green)
plot(R2, "R2", color=color.green)
plot(R3, "R3", color=color.green)
plot(R4, "R4", color=color.green)
plot(R5, "R5", color=color.green)
plot(R6, "R6", color=color.green)
plot(R7, "R7", color=color.green)
plot(R8, "R8", color=color.green)
plot(R9, "R9", color=color.green)
plot(S1, "S1", color=color.red)
plot(S2, "S2", color=color.red)
plot(S3, "S3", color=color.red)
plot(S4, "S4", color=color.red)
plot(S5, "S5", color=color.red)
plot(S6, "S6", color=color.red)
plot(S7, "S7", color=color.red)
plot(S8, "S8", color=color.red)
plot(S9, "S9", color=color.red)
// ===== LABELS (last bar only) =====
if bar_index == last_bar_index
label.new(bar_index, R9, "R9", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R8, "R8", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R7, "R7", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R6, "R6", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R5, "R5", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R4, "R4", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R3, "R3", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R2, "R2", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, R1, "R1", style=label.style_label_down, color=color.green, textcolor=color.white)
label.new(bar_index, S1, "S1", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S2, "S2", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S3, "S3", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S4, "S4", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S5, "S5", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S6, "S6", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S7, "S7", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S8, "S8", style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(bar_index, S9, "S9", style=label.style_label_up, color=color.red, textcolor=color.white)
stelaraX - ATRstelaraX – ATR
stelaraX – ATR is a volatility indicator based on the Average True Range (ATR). It measures the average price movement over a defined period and provides a clear view of current market volatility independent of price direction.
For advanced AI-based chart analysis and automated volatility evaluation, visit stelarax.com
Core logic
The indicator calculates the Average True Range using a user-defined period.
ATR is derived from the true range, which considers:
* current high minus current low
* absolute difference between current high and previous close
* absolute difference between current low and previous close
The ATR value reflects the average volatility over the selected lookback window.
Visualization
The script plots a single ATR line in a separate indicator pane:
* smooth volatility line
* configurable period length
* customizable line color
* clean and minimal visual design
The indicator does not generate signals and is intended purely for volatility assessment.
Use case
This indicator is intended for:
* measuring market volatility
* defining dynamic stop loss and take profit distances
* position sizing and risk management
* identifying volatility expansion or contraction
* filtering trades based on market conditions
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - ADXstelaraX – ADX
stelaraX – ADX is a trend strength indicator based on the Average Directional Index (ADX) and its directional components DI+ and DI-. The indicator is designed to help traders distinguish between trending and ranging market conditions without focusing on trade direction alone.
For advanced AI-based chart analysis and automated trend evaluation, visit stelarax.com
Core logic
The indicator is calculated using the Directional Movement Index methodology and consists of three components:
* ADX measures overall trend strength
* DI+ represents positive directional movement
* DI- represents negative directional movement
The ADX value is smoothed using a user-defined smoothing period. A configurable threshold level is plotted to visually separate weak and strong trend conditions.
Visualization
The script plots all components in a separate pane:
* ADX line to evaluate trend strength
* DI+ line to show bullish directional pressure
* DI- line to show bearish directional pressure
* horizontal threshold line to highlight trending conditions
Colors for each line and the threshold level are fully customizable.
Use case
This indicator is intended for:
* identifying strong versus weak market trends
* filtering trades based on trend strength
* avoiding range-bound market conditions
* confirming trend continuation or exhaustion
* combining with breakout, structure, or momentum strategies
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
EMA Cloud + VWAPEMA Cloud + VWAP
A clean trend and positioning tool combining fast EMA structure with VWAP.
The 8, 13, and 21 EMAs form a dynamic cloud that shows market direction at a glance:
Bullish stack : 8 > 13 > 21 → bullish momentum
Bearish stack : 8 < 13 < 21 → bearish momentum
Neutral : EMAs compress → consolidation or transition
The cloud helps keep you aligned with trend instead of reacting to noise.
VWAP acts as the intraday equilibrium level:
Price above VWAP → stronger bullish positioning
Price below VWAP → weaker or bearish positioning
Often used for pullbacks, support/resistance, and mean reversion
Settings
* Adjustable EMA lengths
* Custom bull/bear/neutral cloud colors
* Cloud opacity control
* VWAP color selection
Designed for traders who want a simple visual read of trend + intraday positioning on any market or timeframe.
Mean Absolute Error | Lyro RSOverview
This indicator is a closed-source, invite-only analytical framework built around Mean Absolute Error as a way to measure market dispersion, pressure, and structural imbalance. Instead of treating price movement purely as direction or momentum, it evaluates how far price deviates from its evolving reference state and converts that deviation into actionable contextual signals. The indicator is modular by design, allowing traders to analyze continuation, strength, and valuation through multiple coordinated modes without switching tools.
Originality
The originality of this indicator comes from how Mean Absolute Error is used as a core market metric rather than a secondary statistical output. MAE is not treated as a passive volatility measure; it becomes an active signal driver that adapts to trend persistence, internal strength, and exhaustion. By combining MAE-weighted price behavior, directional counting logic, and stochastic normalization, the script creates a multi-perspective model that differs fundamentally from traditional volatility bands, oscillators, or momentum indicators.
Modes
The indicator operates through three distinct modes, each producing signals using a different interpretation of MAE-based behavior:
Cloud mode
Signals are generated when price expands beyond adaptive MAE-derived envelopes, highlighting directional continuation and structural break conditions.
For Loop mode
Signals are generated by evaluating directional dominance over a configurable historical window, focusing on sustained pressure rather than single-bar events.
StochTrend mode
Signals are generated through a normalized trend oscillator built from MAE-weighted price, emphasizing trend alignment, valuation zones, and divergence behavior.
Methodology
The script is built around the concept that meaningful market information is found in how price deviates from its own adaptive baseline, not simply in price direction alone. To achieve this, the indicator constructs internal reference structures and evaluates price behavior relative to them across multiple layers.
The core framework can be understood through the following conceptual components:
An adaptive benchmark that represents the evolving reference state of price using selectable smoothing models.
A Mean Absolute Error engine that measures average deviation from the benchmark and scales dynamically with market conditions.
A directional persistence model that evaluates how consistently price favors one side of its historical range over time.
A normalization layer that converts MAE-weighted behavior into bounded trend and valuation signals.
A state-based visualization system that reflects regime changes, strength shifts, and imbalance conditions rather than isolated signals.
Traders interact with the indicator by selecting a mode that aligns with their objective. Cloud mode is typically used to frame continuation and expansion phases, For Loop mode emphasizes internal strength and dominance, and StochTrend mode focuses on trend alignment, valuation extremes, and divergence context. The indicator is intended to be read as a state model, where color, position, and transitions matter more than any single plotted value.
Why this works
This methodology works because it evaluates price action relative to its own adaptive error structure, allowing the indicator to remain context-aware across changing volatility and regime conditions.
Summary
This protected, invite-only indicator provides a structured and original approach to market analysis by transforming Mean Absolute Error into a multi-functional analytical engine. Through its modular modes, traders can assess continuation, internal strength, trend alignment, valuation extremes, and divergence within one coherent framework. The script emphasizes contextual interpretation and regime awareness while intentionally abstracting its internal mechanics.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Multi-Period Key Levels & SeparatorsPeriod Levels & Separators – D/W/M/Q/Y
Comprehensive higher timeframe levels indicator displaying key price levels and period separators for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes.
Features:
• Current & previous period Open lines
• Previous period High / Low (PDH/PDL, PWH/PWL, PMH/PML, etc.)
• Previous period midpoint (½ level) — shown on lower timeframes
• Weekly & Monthly Highest/Lowest Close of period (HCOW, LCOW, HCOM, LCOM)
• First Trading Day of the Month High/Low with optional background fill
• Smart label merging — automatically combines labels when levels are very close (configurable tolerance)
• Customizable period separators (daily, weekly, monthly, quarterly, yearly)
• Day of week labels (Mon–Sat) on lower timeframes
• Multiple visibility controls — hide levels/separators on higher timeframes
• Unlimited or limited history mode
• Optional alerts on break of previous period high/low
Ideal for:
• Anyone using higher timeframe structure & key levels in their analysis
Settings include:
- Master toggles for each timeframe
- Individual colors, styles & widths
- Label size & text color
- Merge tolerance for overlapping levels
- Timezone selection
- Hide rules for cleaner charts on higher TFs
Enjoy cleaner, more structured charts with all major period levels in one place.
Feedback & suggestions always welcome.
CG Price Action OverlayThis indicator provides a comprehensive price action analysis toolkit for traders.
Features include:
- Market Structure Analysis (BOS/CHoCH detection)
- Support & Resistance Zone identification
- Multi-Timeframe High/Low levels
- Fair Value Gap (FVG) visualization
- Volumetric analysis zones
- Clean candlestick coloring options
Settings are fully customizable to match your trading style.
Designed for educational purposes. Use this tool as part of your complete trading strategy.
Past performance is not indicative of future results.
LinReg Wave | Lyro RSOverview
This indicator is a analytical tool designed to translate momentum, trend pressure, and market balance into a structured visual framework. It operates as a non-price oscillator combined with optional price overlays, allowing traders to evaluate trend direction, continuation strength, and valuation extremes within a single system. The indicator is built to adapt across market conditions by offering multiple operational modes, each focusing on a different market behavior while sharing a unified internal state model.
Originality
The originality of this indicator lies in how it blends regression-based momentum behavior with adaptive volatility envelopes and state-driven visualization. Instead of relying on a single traditional oscillator or trend filter, it constructs a dynamic internal wave that reacts to both directional persistence and expansion or contraction in market activity. The script does not simply label trends or overbought/oversold zones; it continuously re-contextualizes price behavior relative to its own evolving statistical environment. This makes it distinct from common momentum oscillators, static band tools, or single-purpose trend indicators.
Modes
The indicator operates through distinct modes, each designed for a specific analytical purpose:
Cloud mode
Signals are generated when price interacts with adaptive upper and lower regions derived from internal trend and volatility states, emphasizing directional continuation and structural shifts.
HA Trend mode
Signals are derived from directional consistency and candle behavior of the internal wave representation, focusing on trend stability rather than breakouts.
Valuation mode
Signals are produced when the internal wave reaches statistically stretched regions, highlighting potential exhaustion, imbalance, or mean-reversion zones.
Methodology
At its core, the script constructs an internal wave that represents normalized directional pressure rather than raw price movement. This wave is then evaluated through multiple adaptive layers to extract trend, strength, and valuation information without exposing the underlying calculations directly.
The framework can be understood through the following conceptual components:
A composite momentum structure that blends directional persistence with rate-of-change behavior to form a normalized internal wave.
A regression-based trend assessment that evaluates both direction and slope stability rather than simple crossover logic.
Adaptive deviation zones that expand and contract with changing market conditions, used to contextualize extremes instead of fixed thresholds.
A dynamic mid-reference that acts as a balance point for determining bullish versus bearish dominance.
A volatility-aware overlay mechanism that maps internal states back onto price for visual confirmation and execution context.
Traders use the indicator by selecting a mode aligned with their objective, such as trend participation, continuation management, or valuation-based decision-making. The visuals, color states, and optional labels are designed to reflect internal state changes rather than individual signals in isolation, encouraging contextual interpretation instead of reactive trading.
The methodology works because it evaluates price behavior relative to its own evolving statistical structure, rather than comparing price to static or externally fixed levels.
Summary
The LinReg Wave provides a multi-layered view of market behavior by combining normalized momentum, adaptive trend assessment, and volatility-aware context into a unified system. Through its distinct modes, traders can analyze continuation, trend health, and valuation extremes without switching tools. The script is designed to guide interpretation through internal state alignment rather than exposing raw calculations, making it suitable for discretionary and systematic workflows alike.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
stelaraX - Moving AveragestelaraX – Moving Average
stelaraX – Moving Average is a flexible moving average indicator that allows switching between multiple MA calculation types while keeping a clean and minimal chart appearance. The indicator is designed for trend identification, dynamic support and resistance, and general market bias analysis.
For advanced AI-based chart analysis and automated trend evaluation, visit stelarax.com
Core logic
The indicator calculates a single moving average based on the selected type:
* Simple Moving Average (SMA)
* Exponential Moving Average (EMA)
* Weighted Moving Average (WMA)
* Volume Weighted Moving Average (VWMA)
* Running Moving Average (RMA)
The moving average is calculated using a user-defined period and price source, allowing full control over responsiveness and sensitivity.
Visualization
The script plots one moving average line directly on the chart:
* adjustable moving average type
* configurable period length
* selectable price source
* customizable line color
* fixed line width for clear visibility
The minimal design ensures an uncluttered chart and seamless combination with other indicators.
Use case
This indicator is intended for:
* trend identification and confirmation
* dynamic support and resistance analysis
* moving average based trading strategies
* multi-timeframe trend alignment
* clean chart setups with minimal visual noise
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Premarket High/Low & Opening Candle & PDH/PDLShow Premarket High (Red line)
Show Premarket Low (Red line)
Show Opening Candle (Green line)
Show Previous Day High (Light yellow line)
Show Previous Day Low (Light yellow line)
Trend + BB% BUY/SELL + S/R Strength+Weakness+BalanceTrend + BB% BUY/SELL + S/R Strength+Weakness+Balance
IMB Mitigation Alert (15M+) by TradeWithForbesndicator that tracks only the most recent ICT imbalance per timeframe, replaces older ones automatically, and triggers a one-time alert the instant price touches the imbalance open (even by 1 pip), only during selected trading sessions. No imbalance formation alerts, no drawings, no arrays unless strictly required, and no global state mutation inside functions.”
MT Trading Deep Value Accumalation ZoneMT Trading – Deep Value Accumalation Zone is a long-term market indicator designed to show price areas where buying becomes statistically reasonable during market drawdowns. It does not give buy or sell signals and is not meant for short-term trading. The indicator focuses on identifying value zones rather than predicting exact market bottoms.
The model works in logarithmic price space and builds a fixed-width zone below the market price. This zone represents areas where long-term demand has historically appeared during periods of stress, panic, or forced selling. The width of the zone never changes. Only its position moves over time.
The zone is predictive, not reactive. It adjusts slowly during normal market conditions, stays stable during consolidation, and adapts faster during strong sell-offs or extreme volatility. This allows the zone to remain realistic and reachable without following price impulsively.
Price may move below the zone during extreme events, but such situations are expected to be temporary. The indicator is designed to highlight areas where risk-to-reward improves, not to mark exact turning points.
MT Trading – Predictive Value Zone is best used on daily or higher timeframes for crypto markets such as BTC, ETH, and major altcoins. It is intended for investors and swing traders who focus on accumulation during drawdowns and long-term market structure rather than short-term signals.
LeXa LeXa is a quantitative trading algorithm designed to filter market noise and identify high-probability trend reversals. Unlike standard indicators, LeXa incorporates a Jensen's Alpha logic to compare the asset's performance against a Benchmark (e.g., Index) and Risk-Free Rate.
Key Features:
Alpha Calculation: Filters out assets that underperform the benchmark.
Dynamic Trendlines: Uses ATR-based logic to determine trend direction.
Smart Exit: Provides dynamic trailing stop levels to protect profits.
Disclaimer: This tool is for educational and analytical purposes only. Not financial advice.
Macro by TURTLE TVICT Macro Time Windows Indicator
This indicator automatically highlights the 5 key ICT (Inner Circle Trader) macro periods where institutional algorithmic activity is highest. Perfect for traders using Smart Money Concepts and ICT methodology.
Features:
Visual background shading during active macro windows
Clear labels marking the start of each macro period
Toggle each macro window on/off individually
Customizable colors for backgrounds and text
Multi-timezone support (NY, London, Tokyo, UTC)
Small indicator dots at chart top for quick reference
The 5 Macro Windows (New York Time):
02:33-03:00 - Asian Session Macro
08:50-09:10 - London Open Macro
09:50-10:10 - London Macro
10:50-11:10 - New York AM Macro
14:50-15:10 - New York PM Macro
How to Use:
Add indicator to your chart
Adjust timezone in settings to match your preference
Enable/disable specific macro windows as needed
Customize colors to match your chart theme
These macro periods typically see increased volatility and liquidity sweeps, making them prime times for price reversals and manipulation moves. Use alongside your ICT strategy for optimal timing.
IMB Scanner (15M+) by TradeWithForbesIMB Session Scanner (15M+) built for session-based imbalance detection.
Scans 15M, 1H, 4H, D1 and W1 ICT-style 3-candle Imbalances (IMB) only during Tokyo, London and New York sessions.
Alerts:
- IMB Mitigated (Tapped at Open)
Designed for clean institutional execution and reduced chart lag.






















