Adpative Dual Cloud | NAL1. Overview
Adaptive Dual Cloud | NAL is a dual-baseline trend cloud built from two separate smoothing structures: a Kijun-style midpoint baseline and an ALMA baseline. Instead of relying on a single moving average or one volatility model, the indicator builds an adaptive cloud around both baselines and only confirms direction when price escapes the full combined structure.
The purpose of the indicator is to create a stricter trend envelope. The Kijun side captures broader structural balance, while the ALMA side adds a smoother adaptive layer. The final upper and lower cloud boundaries are selected from both systems, forcing price to clear the stronger side of the cloud before a bullish or bearish state is confirmed.
2. Calculation
The indicator starts by creating two independent baselines. The first baseline is a Kijun-style midpoint calculated from the highest and lowest values over the selected lookback. This represents a structural equilibrium zone.
kijun_sen = math.avg(ta.lowest(cloudLen1), ta.highest(cloudLen1))
The second baseline uses ALMA, giving the cloud a smoother weighted-average component with adjustable sigma and offset. This adds a more refined smoothing layer beside the Kijun structure.
alma_base = ta.alma(srcSeries, cloudLen2, cloud2Off, cloud2Sig)
The indicator then calculates volatility using a selectable deviation engine. The volatility source can be price, the residual between price and the cloud average, or the cloud structure itself. This allows the band width to be built from different layers of market behavior.
VolSrc = switch devSrc
"Price" => srcSeries
"Residuals" => srcSeries - math.avg(alma_base, kijun_sen)
"Cloud" => math.avg(alma_base, kijun_sen)
The volatility engine supports multiple deviation types, including standard deviation, mean absolute deviation, median absolute deviation, exponential deviation, ATR, linear regression deviation, Hull deviation, FRAMA deviation, Kauffman adaptive deviation, Gaussian deviation, and quantile deviation.
After volatility is calculated, adaptive upper and lower bands are created around both baselines.
upper_kijun = kijun_sen + vol * multi_u
lower_kijun = kijun_sen - vol * multi_l
upper_alma = alma_base + vol * multi_u
lower_alma = alma_base - vol * multi_l
The final cloud uses the highest upper boundary and the lowest lower boundary. This makes the signal more selective because price must break beyond the combined cloud, not just one individual baseline.
upper = math.max(upper_kijun, upper_alma)
lower = math.min(lower_kijun, lower_alma)
A bullish state triggers when price closes above the final upper cloud. A bearish state triggers when price closes below the final lower cloud. When price remains inside the cloud, the previous state is held.
3. Key Features
Dual-baseline cloud using Kijun structure and ALMA smoothing.
Adaptive upper and lower bands built from selectable volatility models.
Multiple deviation engines for different volatility interpretations.
Selectable volatility source: price, residuals, or cloud structure.
Final cloud requires price to clear the combined upper or lower boundary.
State-based candle coloring, cloud coloring, glow effect, and directional fills.
4. Use
Adaptive Dual Cloud is designed to identify when price escapes a combined structural and smoothed volatility envelope. A close above the upper cloud reflects bullish expansion beyond both baseline systems, while a close below the lower cloud reflects bearish expansion below the combined structure.
The indicator is intentionally stricter than a single-baseline channel. By combining a Kijun-style midpoint with an ALMA baseline, it creates a cloud that filters more of the internal noise before confirming a directional regime.
This indicator is best used as a specialized module within a complete strategy framework. Its role is to isolate a cloud-based volatility and structure layer, where price must prove strength or weakness against more than one adaptive baseline. The full value comes from how this regime signal is integrated into a broader process for timing, structure, and execution.
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Median Gaussian Trend | NAL1. Overview
Median Gaussian Trend | NAL is an adaptive trend-band indicator built from a median price baseline, Gaussian smoothing, and Gaussian-weighted volatility bands.
The indicator is designed to filter raw price movement into a smoother directional structure. Instead of using a simple moving average or standard deviation channel, it first compresses price through a median calculation, then applies Gaussian smoothing to create a cleaner baseline. Around that baseline, it builds adaptive upper and lower bands using Gaussian-weighted deviation.
The result is a robust, smooth trend regime tool that identifies when price breaks outside its filtered volatility structure.
2. Calculation
The indicator starts by calculating a median of the selected source. This helps reduce noise by focusing on the central value of recent price action instead of reacting directly to every candle.
That median value is then passed through a Gaussian filter. The Gaussian filter gives more structured weighting to the lookback window, producing a smoother baseline while still preserving directional movement.
The indicator then calculates a Gaussian-weighted deviation around the smoothed median baseline. This creates a custom volatility measurement that is more aligned with the filtered baseline rather than raw price alone.
The upper and lower bands are then built around the Gaussian-smoothed median. The script allows separate upper and lower multipliers, which lets the band structure be asymmetric if needed.
upper = median_base + sd_range * sd_mul
lower = median_base - sd_range * sd_mulb
A bullish state triggers when price closes above the upper band. A bearish state triggers when price closes below the lower band. When price remains inside the bands, the previous regime is held.
3. Key Features
Median-based price filtering.
Gaussian-smoothed baseline.
Gaussian-weighted volatility deviation.
Adaptive upper and lower trend bands.
Separate upper and lower band multipliers.
State-based candle coloring, band coloring, glow effect, and directional fills.
4. Use
Median Gaussian Trend is designed to identify when price escapes its smoothed median-volatility structure. A close above the upper band reflects bullish expansion, while a close below the lower band reflects bearish expansion.
The median component helps reduce noisy price behavior, while the Gaussian smoothing and deviation engine create a more refined trend envelope. This makes the indicator useful for reading directional structure without relying on a raw moving average channel.
This indicator is best used as a specialized module within a complete strategy framework. Its role is to isolate a filtered volatility-trend layer of price behavior, where the real value comes from how the signal is integrated into a broader process for regime, timing, and execution.
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G-Score | NAL1. Overview
G-Score | NAL is a volatility-adjusted Z-Score regime indicator built from two main components: a smoothed price Z-Score and an adaptive GARCH-based volatility Z-Score.
The indicator does not use fixed overbought or oversold levels. Instead, it builds dynamic thresholds from the current volatility structure of the market. Price is then measured against those volatility-derived boundaries to determine whether the market is entering a bullish or bearish statistical regime.
2. Calculation
The indicator starts by estimating volatility through a GARCH-style process. It calculates log returns from the selected source, converts those returns into squared variance, and then compares short-term variance behavior against a realized variance baseline.
GARCH_LogReturn = math.log(src / src )
GARCH_SquaredLogReturn = math.pow(GARCH_LogReturn, 2.0)
GARCH_RealizedVariance = ta.sma(GARCH_SquaredLogReturn, GARCH_Lookback)
The model then searches through possible beta and gamma coefficients to find weights that better fit the recent variance environment. These optimized coefficients are used to build a GARCH variance estimate from three components: long-run variance, recent shock variance, and lagged variance.
GARCH_Variance =
GARCH_Gamma * GARCH_LongRunVariance +
GARCH_Alpha * GARCH_SquaredLogReturn +
GARCH_Beta * GARCH_LaggedVariance
The final GARCH volatility value is created by taking the square root of the projected variance. This produces the volatility engine used later in the threshold system.
The indicator then calculates two separate Z-Scores. The first is a price Z-Score, measuring where price is relative to its own mean and deviation. The second is a volatility Z-Score, measuring where GARCH volatility is relative to its own historical distribution.
Both values are smoothed with a Jurik-style moving average to reduce noise while keeping the response relatively fast.
The volatility Z-Score is then mirrored into positive and negative boundaries. This creates dynamic upper and lower thresholds that expand and contract with the current volatility regime.
The final signal compares the smoothed price Z-Score against those adaptive volatility thresholds. A bullish state triggers when price strength expands above the upper volatility boundary. A bearish state triggers when price weakness falls below the lower volatility boundary. When price remains inside the volatility envelope, the previous regime is held.
3. Key Features
Adaptive GARCH-style volatility engine.
Price Z-Score measured against volatility-derived thresholds.
Dynamic upper and lower boundaries instead of fixed levels.
Jurik-style smoothing for both price and volatility components.
State-based candle coloring, background regime coloring, threshold fills, and transition labels.
Designed to capture statistical expansion when price moves outside its volatility-adjusted structure.
4. Use
G-Score is designed to identify when price begins separating from its normal statistical range after accounting for the current volatility environment. A move above the upper threshold reflects bullish statistical expansion, while a move below the lower threshold reflects bearish statistical expansion.
The strength of the indicator comes from the relationship between price displacement and volatility regime. Rather than treating every Z-Score reading the same, it lets volatility define the boundary that price must break.
This indicator is best used as a specialized module within a complete strategy framework. Its role is to isolate a specific statistical layer of market behavior, where price expansion is evaluated through the lens of adaptive volatility. The full value comes from how this regime signal is integrated into a broader process for timing, structure, and risk.
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Volatility Halo | NAL1. Overview
Volatility Halo | NAL is an adaptive volatility band indicator built from a Zero-Lag EMA baseline, ATR band structure, and a recursive GARCH-style volatility regime multiplier.
The indicator does not use fixed-width bands. Instead, it starts with ATR-based bands and then adjusts their width using a projected volatility regime model. This allows the bands to respond differently when market volatility is expanding, contracting, or stabilizing.
2. Calculation
The indicator starts by calculating a Zero-Lag EMA baseline from the selected source. This baseline acts as the central trend reference, helping reduce lag compared to a standard EMA while still keeping the structure smooth.
float baseline = f_zlema(src, baseline_len)
float ATR_Value = ta.atr(ATR_Len)
The ATR value is then multiplied by the user-defined ATR multiple. This forms the base volatility distance used for the upper and lower bands.
The more advanced part of the indicator is the recursive GARCH-style regime multiplier. It begins by calculating log returns and converting them into shock variance. A long-run variance estimate is then built from recent shock variance.
GARCH_LogReturn = close > 0.0 and close > 0.0 ? math.log(close / close ) : 0.0
GARCH_ShockVariance = math.pow(GARCH_LogReturn, 2.0)
GARCH_LongRunVariance = ta.ema(GARCH_ShockVariance, GARCH_LongRunLen)
The model recursively updates conditional variance using three components: recent shock variance, long-run variance, and previous conditional variance. When adaptive coefficients are enabled, the script searches for coefficient weights that better fit recent variance behavior.
GARCH_ConditionalVariance :=
GARCH_Gamma * GARCH_LongRunVariance +
GARCH_Alpha * GARCH_ShockVariance +
GARCH_Beta * GARCH_PreviousConditionalVariance
The conditional variance is then projected and converted into a volatility estimate. This volatility is compared against its own regime baseline to create a volatility regime multiplier. The multiplier is clamped between a minimum and maximum value, preventing the bands from becoming too narrow or too wide.
GARCH_Volatility = math.sqrt(math.max(GARCH_ProjectedVariance, 0.0))
GARCH_RegimeMultiplierRaw = GARCH_Volatility / GARCH_RegimeBase
GARCH_RegimeMultiplier = f_clamp(GARCH_RegimeMultiplierSmooth, GARCH_MinMult, GARCH_MaxMult)
The final band width is created by combining ATR with the GARCH regime multiplier. The upper and lower bands are placed around the Zero-Lag EMA baseline.
hybridBandWidth = ATR_Value * ATR_Mult * GARCH_RegimeMultiplier
upperBand = baseline + hybridBandWidth
lowerBand = baseline - hybridBandWidth
A bullish state triggers when price closes above the upper band. A bearish state triggers when price closes below the lower band. When price remains inside the bands, the previous state is held.
3. Key Features
Zero-Lag EMA baseline for reduced-lag trend structure.
ATR-based volatility bands.
Recursive GARCH-style conditional variance model.
Adaptive volatility regime multiplier.
Bands expand or contract based on projected volatility conditions.
State-based candle coloring, band coloring, glow effect, and regime fills.
4. Use
Volatility Halo is designed to identify moments where price begins escaping its volatility-adjusted structure. A close above the upper band reflects bullish expansion, while a close below the lower band reflects bearish expansion.
The adaptive volatility engine allows the bands to shift with the underlying market environment, making the signal more responsive to changes in pressure and regime.
This indicator is best used as a specialized module within a complete strategy framework. Its real strength appears when it is combined with a broader process for reading market behavior, timing, and risk. The full edge comes from how the signal is integrated, not from the signal existing in isolation.
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Trend Bias Guide MATrend Bias Guide MA
OVERVIEW
Trend Bias Guide MA is a smoothed reference line that shows which side (bullish or bearish) has been dominating recent price action, and helps spot early signs of trend exhaustion through divergence between price and candle-body pressure.
Unlike a standard moving average, this line is not derived from price itself. It is derived from the net directional pressure of individual candles over a lookback window, then projected onto the chart at a visual offset from price using ATR, so it never overlaps the candles.
WHAT IT IS BUILT FROM
For every candle in the lookback window (default: 50 candles), the script measures (close − open). This value is positive for a bullish candle and negative for a bearish candle, and its magnitude reflects the size of that candle's body.
These values are summed across the whole lookback window into a single number, referred to here as the net bias:
net bias = Σ (close − open) over the last N candles
This sum captures two distinct effects at once:
1. Count imbalance: whether there were more bullish or more bearish candles in the window.
2. Size imbalance: whether the bullish or bearish candles had larger bodies on average.
Both effects move price in the same underlying way, and summing (close − open) candle by candle combines them automatically, without needing to calculate them separately. If the net bias is positive, bullish pressure has dominated the window; if negative, bearish pressure has dominated.
HOW THE LINE IS DRAWN
- If the net bias is negative (bearish), the line is plotted above price, at a distance of (ATR × multiplier) above the current high.
- If the net bias is positive (bullish), the line is plotted below price, at a distance of (ATR × multiplier) below the current low.
- ATR length and multiplier are both adjustable inputs (defaults: ATR length 14, multiplier 1.0), and control how far the line sits from price.
- The raw level is then smoothed with a simple moving average (default length: 10) to reduce short-term noise and produce a cleaner, more continuous line instead of a jagged one.
- The line changes color to match its current bias: green when below price (bullish), red when above price (bearish).
INPUTS
- Lookback Length (default 50): number of candles used to calculate the net bias.
- ATR Length (default 14): period used for the ATR calculation that sets the offset distance.
- ATR Multiplier (default 1.0): scales the offset distance from price.
- Smoothing Length (default 10): period of the moving average applied to the final line.
HOW TO INTERPRET IT
- Green line below price: bullish pressure has dominated over the lookback window.
- Red line above price: bearish pressure has dominated over the lookback window.
- This is a trailing, lookback-based measure. Like any indicator built on a moving window, it reacts with a delay relative to the current candle — it will not flip instantly at the exact start of a new trend, and generally needs enough new candles in the new direction to outweigh the older ones still inside the window.
HOW TO USE IT
This indicator is designed as a contextual reference, not as a standalone entry or exit signal. Two practical uses:
1. Trend context: at a glance, see whether recent price action has been dominated by bullish or bearish candles, without needing to eyeball candle sizes manually.
2. Divergence / exhaustion warning: watch for cases where price is trading above a rising average (e.g., an EMA, not included in this script) while this line is still red (or below a falling average while the line is still green). This mismatch between price direction and underlying candle pressure can flag weakening trend conviction. In backtesting on XAUUSD (17 years of hourly data), this type of divergence was associated with a meaningfully higher chance of the trend reversing within the following 24–72 hours compared to the general baseline, with the effect strongest in the 24-hour window and gradually fading over longer horizons.
LIMITATIONS
- This is a descriptive/contextual tool, not a predictive trading signal on its own. It shows what has already happened over the lookback window, and any forward-looking use (such as the divergence behavior described above) carries no guarantee of repeating in the same way in the future or on other symbols/timeframes.
- Being lookback-based, the line inherently lags price, in the same way any moving average or rolling calculation does.
- It does not include stop-loss, take-profit, or position-sizing logic of any kind. It is a visual reference only.
- Backtested divergence statistics referenced above were derived from historical XAUUSD data and should not be assumed to hold with the same magnitude across all instruments, timeframes, or market regimes. Users should validate behavior on their own instrument and timeframe before relying on it. Indicador
Auto Support & Resistance [ForexCracked]🔷 OVERVIEW
Auto Support & Resistance finds the levels that matter and scores how strong they are. It builds zones from confirmed swing pivots, merges nearby pivots into one level, counts every touch, and rates each zone from one to five stars. Levels never repaint: a zone only appears once its swing is confirmed.
🔷 HOW IT WORKS
Confirmed pivot highs become resistance zones and confirmed pivot lows become support zones. Pivots that land within half an ATR of an existing zone merge into it, and each merge or retest adds a touch. More touches means a more solid fill on the chart and a higher star rating. When price closes through a zone, the level flips: broken resistance becomes support, and broken support becomes resistance, exactly as classic technical analysis describes. Zones that nothing has touched for a long time fade off the chart, and only the strongest levels per side are kept, so the chart stays clean.
🔷 THE DASHBOARD
A compact panel shows the nearest resistance and nearest support: the exact level, how far away it is in pips, and its strength in stars. Drop it in any corner.
🔷 HOW TO USE
Treat the zones as areas of interest, not automatic trades. Watch how price reacts at a strong level: rejections at four and five star zones in the direction of your higher timeframe bias are the classic play, and a clean break and retest of a flipped level is the second. Always confirm with your own analysis and use a stop.
🔷 SETTINGS
Pivot strength, merge distance and zone height (x ATR), max levels per side, break buffer, zone age, colours, and dashboard position.
🔷 ALERTS
Level broken (flip), and New confirmed level.
Free and open-source. Educational tool, not financial advice. Indicador
Bryy's Context PanelBryy’s Context Panel is a compact multi-symbol market context panel built to help traders monitor broader market and sector alignment without leaving their main execution chart.
The indicator checks selected symbols against configurable moving averages and adaptive VWAP, then displays a simple visual status for each metric:
✓ = price is above the selected metric
✕ = price is below the selected metric
- = data is unavailable or the metric is not applicable
The default use case is staying on a futures execution chart while monitoring external ETF context such as SOXX, QQQ, and SPY. This can help traders quickly see whether semiconductor, Nasdaq, and broad-market context are aligned or conflicting.
Main Features:
• Monitor up to 5 custom symbols
• Default focus on SOXX / QQQ / SPY market context
• Configurable SMA or EMA
• Three customizable moving average slots
• Optional custom timeframe per moving average
• Adaptive VWAP logic:
- Intraday charts: RTH Daily VWAP
- Daily charts: Week-Open VWAP
- Weekly charts: Month-Open VWAP
- Monthly+ charts: VWAP hidden in Auto mode
• Horizontal or vertical panel layout
• Adjustable panel size and placement
• Dark, light, and custom color themes
• Designed to be lightweight, clean, and fast
Intended Use:
This indicator is designed as a context scanner, not a buy/sell signal system.
It is meant to help answer questions like:
• Is SOXX supporting or fighting the trade idea?
• Is QQQ aligned with the current futures move?
• Is SPY confirming broader market direction?
• Are key context symbols above or below their short-term, medium-term, and longer-term reference levels?
The goal is to provide quick external market context while keeping the main chart clean.
Important Notes:
For US ETF symbols, the scanner is designed around regular-session context. When used outside regular market hours, values may reflect the most recent regular-session data depending on TradingView’s symbol/session handling.
VWAP depends on volume, so ETF symbols are generally better suited than non-volume index symbols for this tool.
This script does not predict price movement, generate entries, or provide financial advice. It is intended to support discretionary analysis by showing clear market context in a compact panel. Indicador
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ICT Sessions & Killzones - Asia London NY + Liquidity[LunqFX]ICT Sessions & Killzones is a modern smart-money session indicator for TradingView that maps the three global trading sessions — Asia, London and New York — as clean, colour-coded ranges and, unlike most session tools, automatically detects liquidity sweeps: the exact moment price raids a previous session's high or low and rejects it. It turns the daily rhythm of the market — the ICT killzones, session opens, and the liquidity pools left behind — into a clear, actionable map. Works on forex, crypto, indices, futures and gold (XAUUSD), on any intraday timeframe. Built in Pine Script v6. Keywords: ICT, killzones, sessions, Asia session, London session, New York session, liquidity, liquidity sweep, stop hunt, smart money concepts, SMC, session high low, opening range, forex, crypto, day trading, scalping.
◆ WHY SESSIONS MATTER
Price does not move randomly — it moves in sessions. Asia sets the range, London expands it, New York reverses or continues it. The highs and lows each session leaves behind become liquidity pools — resting stop orders that smart money targets. Knowing where those levels are, which session is active, and when a level gets swept is the core of session-based and ICT trading. This tool puts all of that on your chart automatically.
◆ WHAT IT DRAWS
Session boxes — Asia (violet), London (teal) and New York (gold) ranges drawn automatically from each session's high and low, kept across history so you can study the pattern.
Previous-session liquidity levels — the last completed session's high and low extended forward as dashed lines. These are the magnets price hunts next.
Liquidity sweep markers — a compact, colour-coded arrow (▲/▼ with the session code A / L / NY) printed when price wicks beyond a prior session extreme and closes back inside — a real stop-raid / rejection. Hover any marker for the full detail.
Neon gradient candles — turquoise up / magenta down, intensity scaled by momentum.
◆ THE LIVE DASHBOARD
A clean, colour-railed panel that reads the sessions at a glance:
Active session — which session is open right now (● marks any that are live; London and New York overlap in real hours, so both can be active).
Range per session — each session's high–low.
Range in pips — how far each session actually moved.
★ Widest range — the session that dominated the day (the "power session").
Timezone readout, fully themeable, adjustable text size.
◆ HOW IT WORKS
Every bar is assigned to a session from its own timestamp (no repainting from higher-timeframe data). The session's running high and low build the box in real time. When a new session opens, the previous session's extremes are locked in as liquidity levels. A liquidity sweep is flagged only when price trades beyond a prior session's high/low and then closes back inside it — a genuine rejection — so a clean break straight through does not trigger a false signal. This keeps the chart clean and every sweep meaningful.
◆ HOW TO USE IT
Trade the killzones. The London and New York opens produce the biggest, cleanest moves — focus your entries there.
Use prior session highs/lows as targets. Untapped levels act as magnets; price often runs them before reversing.
Fade or follow sweeps. When a sweep prints, the raid has taken liquidity — fade it back into range, or trade the reversal in the opposite direction.
Read the dashboard for context. Know which session is active and which had the widest range before you commit.
Set your times/timezone. Adjust each session's hours and the timezone in the settings to match your market and broker.
Combine with your own market structure, order blocks or bias for higher-probability confluence.
◆ SETTINGS
Session times & colours (Asia / London / New York), timezone, session boxes (soft fill or outline), previous-session levels with adjustable extension, liquidity sweep markers, neon candles, and a dashboard (show/hide, position, text size, background).
◆ ALERTS
Liquidity sweep — fires when any previous-session high or low is swept.
◆ LIMITATIONS
Sessions are an intraday concept — use a 1m to 4h timeframe. On daily or higher the panel shows a reminder and no sessions are drawn.
Default session times are in GMT; set the timezone and hours to match your instrument and broker feed, as session boundaries vary by symbol.
A liquidity sweep shows that a level was raided and rejected — it is context and confluence, not a standalone buy/sell signal.
Session ranges reflect the data of your chart's feed; different brokers can differ slightly.
◆ ORIGINALITY & NON-REPAINTING
Original work — the session engine, the rejection-based liquidity-sweep detection, the previous-session liquidity levels and the dashboard are all my own implementation; no third-party code is used. Sessions and levels are built from each bar's own timestamp with no higher-timeframe lookahead, so a sweep printed on a closed bar stays.
Educational analysis tool, not financial advice. Trading involves risk. Always do your own research and manage risk. © LunqFX. Indicador
Seasonality: Energy [invincible3]Seasonality: Energy Commodities
This indicator displays compact seasonal mini-charts for major energy markets directly on the price chart. It is designed to provide a quick visual reference for historical seasonal tendencies without disturbing the main candle scaling or chart zoom.
The dashboard includes four energy seasonality panels:
Gasoline | from 1985 to 2020
Crude Oil | from 1984 to 2020
Heating Oil | from 1980 to 2020
Natural Gas | from 1991 to 2020
Each panel contains two seasonal curves:
Blue Line — All Years Average
Shows the average historical seasonal path using all available years from the start year through 2020.
Yellow Line — Weighted Average
Shows a weighted seasonal curve that gives more importance to recent historical behavior while still preserving the broader long-term seasonal structure.
The indicator uses a fixed 365-day seasonal structure, allowing traders to observe how each energy market has historically behaved throughout the calendar year. The mini-charts are drawn as independent widgets using price-space positioning, so they do not interfere with the main price chart, candle scaling, or zoom behavior.
Key Features
Four energy commodity seasonality panels
Historical data from each market’s start year to 2020
All Years and Weighted Average seasonal curves
Compact dashboard-style layout
Auto dark/light theme support
Adjustable widget width, spacing, height, and position
Designed to avoid chart-scaling distortion
Useful for seasonal bias, timing context, and macro/commodity market analysis
How to Use
Use the blue and yellow curves as a seasonal reference, not as standalone buy or sell signals. When both curves point in the same direction during a specific part of the year, that period may represent a historically stronger seasonal tendency. The signal is more useful when combined with trend, support/resistance, volume, fundamentals, and broader market context.
Important Note
This indicator is based on historical seasonal data only. Seasonality does not guarantee future price movement. Market structure, supply-demand conditions, geopolitical events, interest rates, weather, and macroeconomic factors can override historical seasonal tendencies. Indicador
Tomukas Elite SMCTomukas Elite SMC is a premium Smart Money Concepts strategy designed to focus on high-probability institutional setups instead of frequent signals.
The strategy combines three core concepts into a single trading framework:
Liquidity Sweeps
Market Structure Shift (MSS/BOS)
Fair Value Gap (FVG) Retracement
Rather than chasing price, the strategy waits for liquidity to be taken, confirms a genuine shift in market structure, and enters only after price retraces into an imbalance. This approach aims to filter out low-quality trades and improve overall consistency.
Key Features
Non-repainting signals
Higher-timeframe trend confirmation
Liquidity sweep detection
MSS/BOS confirmation using candle closes
Automatic Fair Value Gap detection
Session filter (London & New York)
ATR volatility filter
Built-in risk management
Break-even automation after TP1
Runner management for extended trends
Strategy Tester compatible
The strategy is designed for traders who value patience and precision over constant market participation. By waiting for multiple confirmations to align, it seeks to reduce false entries while maintaining favorable risk-to-reward opportunities.
Best suited for: Gold (XAUUSD), major Forex pairs, and indices on lower timeframes such as 1M, 3M, and 5M.
As with any trading strategy, no setup guarantees profits. Proper risk management, disciplined execution, and thorough testing are essential before using it with live capital. Estrategia
DAX Universe Relative Strength & Volume Quality [JS]DAX Universe RS & Volume Quality is a relative strength and pullback quality indicator designed for German stocks from the DAX, MDAX, SDAX and TecDAX universe.
The indicator measures a stock’s weighted relative performance against an equal-weighted German equity benchmark made from DAX, MDAX, SDAX and TecDAX. The relative strength model is inspired by IBD / Minervini-style momentum analysis, giving more weight to recent performance while still considering the medium- and longer-term trend.
Relative Strength Model:
• 40% weight: approx. 3-month performance
• 20% weight: approx. 6-month performance
• 20% weight: approx. 9-month performance
• 20% weight: approx. 12-month performance
The result is displayed as a percentage relative to the German stock universe benchmark:
• RS above 0% = the stock is outperforming the benchmark
• RS below 0% = the stock is underperforming the benchmark
• RS above the user-defined strength threshold = RS STARK / strong relative strength
In addition to relative strength, the indicator includes a High-Volume Down-Day filter. This helps assess whether a pullback is still constructive or whether distribution pressure may be increasing. The user can define:
• Lookback period
• Minimum loss required for a down-day to count
• Volume moving average length
• High-volume factor
• Maximum allowed High-Volume Down-Days
The simplified status box highlights the current setup condition using color:
• Green = strong relative strength and acceptable volume quality
• Yellow = positive or improving relative strength, but not yet ideal
• Red = weak relative strength or too many High-Volume Down-Days
The textbox position, size, width and height can be adjusted in the indicator settings.
This indicator is designed as a decision-support and screening tool for relative strength, pullback quality and German stock leadership analysis. It is not an official IBD RS Rating and does not provide financial advice or automatic buy/sell recommendations. Always combine it with your own chart analysis, risk management and market context. Indicador
Aquila Price Levels - Multi-Timeframe Institutional Levels 🦅 Aquila Price Levels - Multi-Timeframe Institutional Levels
The "Aquila Price Levels v1.1" script is a structural analysis tool developed to simultaneously map and visualize critical price levels across Daily (D), Weekly (W), and Monthly (M) timeframes directly on the operational chart.
The Importance of a Unified Visualization (Single Board):
Having a comprehensive overview of macro and micro levels in a single interface is critical for reading Order Flow and market structure. This centralized approach eliminates noise and the constant need to switch timeframes, allowing the user to:
Identify Confluences: Highlights zones where levels from different timeframes (e.g., Previous Week High and Current Daily Open) intersect, defining high-probability order blocks.
Map Liquidity: Makes external liquidity targets (PDH, PDL, weekly and monthly highs/lows) immediately visible. These are the primary targets exploited by algorithms and institutional players for positioning.
Define the Bias: Evaluating the real-time price position relative to macro Opens provides an objective reading of both short-term and long-term directional bias.
Manage Equilibrium Areas: Tracking the medians (H+L)/2 provides constant reference points for mean reversion setups.
Main Features:
Multi-Timeframe Tracking (Current & Previous): Automatic calculation and plotting of Open, High, Low, Close, and Median for the day, week, and month (both currently updating and previously consolidated).
Smart Label Management: The system dynamically groups labels on the horizontal axis if levels fall within a configurable tolerance threshold, preventing visual overlapping on the chart.
Summary Table (Dashboard): An integrated visual matrix (freely positionable) that summarizes the exact numerical values of all D/W/M levels, acting as an immediate control panel.
Operational Tooltips: Hovering over the price labels provides technical descriptions of the level's significance (e.g., directional watershed, macro wall, liquidity trap).
UI Customization: Total control over line thickness, styles, opacity for current periods, and label offsets.
Practical Application:
Particularly optimized for highly technical and volatile assets like XAUUSD (Gold), where millimeter precision on historical liquidity grabs and reactions to macro levels dictates the profitability of the operational setup.
🦅 Royal Eagles - Born to fly, born to dare. Indicador
Linda Raschke MACD + Stochastic# Linda Raschke MACD + Stochastic
This indicator combines a fast **MACD (3,10,16)** with a **Stochastic Oscillator (7,10,3)**, inspired by trading concepts commonly associated with professional trader Linda Raschke.
Instead of relying on a standard MACD (12,26,9), this version uses a faster configuration to detect short-term momentum shifts and potential trend changes more quickly.
## Features
* MACD (3,10,16)
* Stochastic (7,10,3)
* Automatic BUY and SELL signals
* Momentum confirmation using both indicators
* Built-in alert conditions
* Designed for day trading and swing trading
## Buy Signal
A BUY signal is generated when:
* The MACD line crosses above the Signal line.
* The Stochastic forms a bullish Hook, indicating momentum is turning upward.
## Sell Signal
A SELL signal is generated when:
* The MACD line crosses below the Signal line.
* The Stochastic forms a bearish Hook, indicating momentum is turning downward.
Signals are displayed only when both conditions occur together, helping reduce false entries.
## Recommended Usage
This indicator is intended to be used as a momentum confirmation tool rather than a standalone trading system.
For better trade selection, consider combining it with:
* 3 EMA & 10 EMA
* ATR Trailing Stop
* Previous Day High / Low
* Support & Resistance
* Price Action Analysis
## Disclaimer
This indicator is provided for educational and informational purposes only. It does not guarantee profitable trades and should always be used alongside proper risk management and independent market analysis.
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Price Acceleration Flow (PAF)Price Acceleration Flow (PAF)
Price Acceleration Flow (PAF) is an original momentum indicator designed to measure the rate at which price movement accelerates or decelerates. Instead of relying on traditional oscillators, PAF analyzes changes in price velocity, candle efficiency, and relative trading activity to identify developing market momentum.
By focusing on acceleration rather than absolute price movement, PAF helps traders recognize trend continuation, weakening momentum, and potential reversal zones before they become obvious on the chart.
Key Features
Original price acceleration algorithm
Measures momentum through changes in price velocity
Volume-adjusted flow calculation for stronger signal quality
Dynamic signal line for trend confirmation
Early identification of bullish and bearish momentum shifts
Built-in Buy and Sell alerts
Lightweight, non-repainting Pine Script v6 design
Compatible with Forex, Crypto, Stocks, Indices, and Commodities
How to Use
Bullish Signal: PAF crosses above the signal line, indicating increasing buying momentum.
Bearish Signal: PAF crosses below the signal line, suggesting strengthening selling pressure.
Strong Trends: Large positive or negative values indicate accelerating market participation.
Sideways Markets: Flat or low-amplitude readings suggest weak momentum and possible consolidation.
Price Acceleration Flow (PAF) is designed as a confirmation tool and performs best when combined with price action, market structure, and disciplined risk management. It helps traders focus on high-momentum opportunities while filtering out low-conviction market conditions. Indicador
Indicador
Best Sessions - New York, London & Asia - Xcelerate TradeXcelerate — Best Sessions: New York, London & Asia | Xcelerate Trade
A professional session-mapping overlay from the Xcelerate Trade team. It highlights the three major forex / index trading windows — Asia, London (Europe) and New York — plus a full daily range toolkit, all anchored to America/New_York (EST/EDT). Built for intraday traders who plan entries around session highs/lows, daily open/close and kill-zone timing.
What you get on the chart
Three session boxes (intraday only)
Each session draws a live box from session open to the current bar, then freezes it as history when the session ends:
Session Default window (EST) Color
Asia
20:00 → 05:00
Yellow
London
03:00 → 12:00
Blue
New York
09:30 → 16:00
Red
Live box — grows with price during the active session (high/low tracked in real time).
Historical boxes — completed sessions saved to chart history (FIFO cap per session).
Outline-only mode — optional per session: border highlight with transparent fill (“Daily Highlights” style).
Session times are fully editable via input.session — adapt them to your broker’s server time or personal kill-zone preferences.
Daily box (00:00 → 24:00 NY)
Current day — live lime box from midnight NY to midnight NY, expanding with the day’s high/low.
Historical days — completed daily ranges saved to history (default keep: 31 days).
Outline-only — optional transparent fill for a cleaner chart.
Daily high / low labels
D Hi and D Lo labels at the exact timestamp of the day’s extreme.
Separate toggles for historical and live labels.
Customizable colors, decimal precision and vertical offset (ticks).
Daily open / close lines
Horizontal Open line (purple by default) and Close/Last line (gray) spanning the full NY trading day.
Optional historical and live price labels on the lines.
Label placement by ticks or percentage offset from the daily range.
Global controls
Show Asia / Europe / New York — master toggles to hide entire sessions without digging into each group.
Per-session history — independent keep limits (default 31 sessions each).
Smart drawing guards — automatic FIFO caps scaled to your timeframe so you never hit TradingView’s object limits (boxes, lines, labels). Works from 1-second charts up to monthly.
Timezone accuracy
All session detection and daily rollover use America/New_York consistently:
Session time() checks use the NY timezone string.
Daily box boundaries use timestamp(TIMEZONE, …) at 00:00 NY.
Daily open pulled via request.security(..., "1D", open) for alignment with the daily candle.
This keeps Asia / London / NY boxes and the daily box synchronized — no drift between session logic and daily logic.
Suggested settings
Forex (EURUSD, GBPUSD, XAUUSD) on 1m–15m: all three sessions ON, daily box + D Hi/Lo labels ON, open/close lines ON.
US indices (SPX, NQ) on 1m–5m: focus on New York session; optionally hide Asia if your broker’s overnight session is quiet.
Cleaner chart: enable Outline only on sessions and/or daily box; turn off historical labels if you only care about today.
Higher timeframes (1H+): session boxes auto-disable on daily+ charts (isIntraday guard) — only the daily toolkit remains active.
Inputs overview
Group What you control
Session schedules
Asia / London / NY time windows
Colors
Fill + border per session and daily
Daily Box
Historical + live, outline mode
Daily Labels
Hi/Lo labels, colors, offsets
Asia / London / NY
Per-session historical + live toggles
GLOBAL
Master show/hide per session
Daily Lines
Open/Close lines + labels
Promo Banner
Flash timing (minutes hidden / seconds visible)
Notes & disclaimers
Session boxes appear on intraday timeframes only (below 1D). On daily/weekly charts the session engine is disabled automatically.
Session boxes track the high/low range inside the window, not volume or order flow — use them as a time + range reference, not as a signal generator.
Default session times follow common EST conventions; verify against your broker if you trade instruments with different session cuts (e.g. futures RTH vs ETH).
Pine Script v6.
Built and maintained by the Xcelerate Trade team. Asia, London and New York session boxes + daily range, Hi/Lo labels and open/close lines — all in one clean, NY-timezone-aware overlay.
Indicador
Indicador
Fix PIPS - 4 Sessions - FRA / LDN / NY / ASIA4 Sessions draws High/Low range boxes for the four major market sessions — Frankfurt, London, New York and Tokyo.
HOW IT WORKS
Each session is a translucent box that tracks the session's running High/Low as it develops. Session hours are defined in each market's home timezone (Europe/Berlin, Europe/London, America/New_York, Asia/Tokyo), so the boxes always land in the right place regardless of your chart's timezone, and DST transitions in every region are handled automatically — nothing to adjust twice a year.
DEFAULT HOURS (exchange hours, editable)
• Frankfurt — 08:00–09:00 (Xetra open, the hour before London)
• London — 08:00–16:30
• New York — 09:30–16:00 (NYSE)
• Tokyo — 09:00–15:00 (TSE)
SETTINGS
One row per session: enable toggle, color (set fill opacity right in the color picker) and hours. Weekdays only — no weekend boxes on 24/7 markets like crypto. Works on intraday timeframes. Optional on-chart info note with a UA/EN/RU language switch.
ALERTS
Alert conditions fire on each session open (Frankfurt, London, New York, Asia). Indicador
Indicador
Smart Money Concepts Engine [Quantum Algo]Smart Money Concepts Engine
====================================================
🔶 OVERVIEW
Smart Money Concepts Engine is an all-in-one smart money concepts (SMC) indicator that unifies market structure, order blocks, fair value gaps with inversions, liquidity, and premium and discount analysis into a single engine — and then goes one layer deeper than drawing tools: it scores the confluence of everything on the chart into a transparent zero-to-one-hundred Confluence Score, and narrates the current market read in plain language on a live dashboard.
Most smart money indicators draw concepts and leave the interpretation to you. This engine interprets. At any moment the dashboard answers the questions an institutional-style trader actually asks: What is the structure doing on both tiers? Has liquidity been taken? Is price in premium or discount? Are there fresh zones nearby? How much of this stacks together right now?
🔶 WHAT ARE SMART MONEY CONCEPTS?
Smart money concepts describe how large market participants leave footprints in price: they break structure to reveal intent (Break of Structure and Change of Character), they enter from unmitigated zones of prior aggression (order blocks), they leave imbalances behind fast moves (fair value gaps), they engineer stop runs above equal highs and below equal lows (liquidity sweeps), and they favor buying in the discount half of a range and selling in the premium half. This engine detects, draws, and tracks the life cycle of every one of these elements.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. Confluence Score. A transparent zero-to-one-hundred score built from five weighted, observable conditions: swing and internal structure alignment (25), correct premium or discount positioning for the bias (25), a fresh order block near price (20), imbalance confluence (15), and a recent liquidity sweep in the supportive direction (15). Every point is explainable — nothing is a black box.
2. Narrative engine. The dashboard writes the market read as a plain-language story that updates live, for example: "Bullish structure — sell-side taken — price in discount — demand below." No interpretation gap between what the chart shows and what it means.
3. Zone life cycle everywhere. Order blocks are born fresh, brighten when tested, and are removed the moment they are mitigated — the chart only ever shows zones that still matter. Fair value gaps flip into inversion zones when violated and are removed on the second violation. Equal highs and equal lows are struck through and relabeled the moment they are swept.
4. Volume-graded zones. Every order block is labeled with the relative volume of its origin candle (for example "Demand · 1.8× Volume"), so zone quality is visible at a glance.
5. Dual-tier structure. Swing structure (Break of Structure and Change of Character with lines and labels) and internal structure (compact context markers) are tracked as two independent bias states — and their agreement or disagreement feeds the score.
6. Graded zone-tap signals. When price returns to a fresh zone while both structure tiers align and price sits on the correct side of equilibrium, the engine prints a signal stamped with the live Confluence Score. High-scoring signals are highlighted in the accent color.
7. Anti-clutter engineering. Sweep detection carries per-level memory and a cooldown so the same level can never stack duplicate labels. Every drawing family is capped by input, keeping the chart readable and the auto-scale anchored to current price.
🔶 HOW IT WORKS
Market structure: Swing highs and lows are confirmed with a symmetric pivot lookback. A candle close through a confirmed swing level prints a Break of Structure (BoS) in trend continuation or a Change of Character (CHoCH) on reversal, on both the swing tier and the internal tier. All events are evaluated on closed bars only, so structure and signals do not repaint.
Order blocks: On every swing structure break, the engine locates the origin candle of the move — the last opposite candle before the impulse — and projects it forward as a demand or supply zone, graded by the relative volume of that candle. Zones brighten on first touch and are removed when price closes through them.
Fair value gaps: Three-candle imbalances above a minimum size (measured in Average True Range) are boxed. When price closes through a gap, it flips into an inversion zone acting in the opposite direction; a second violation removes it. Gap detection runs in the background for the Confluence Score even when drawing is disabled.
Liquidity: Consecutive swing highs or lows within a tolerance form Equal Highs (EQH) or Equal Lows (EQL) — resting liquidity lines that follow price. A wick through the level with a close back inside marks a sweep: the line is struck through, relabeled, and the event feeds the score. Single-pivot stop hunts are detected the same way, with per-level memory preventing duplicates.
Premium and discount: The range between the last confirmed swing high and low is mapped into premium, equilibrium, and discount, with deeper tinting in the extreme quartiles. The dashboard reports the live position as a percentage of the range.
Dashboard: A compact, fully themeable panel shows swing bias, internal bias, last event, range position, liquidity status, fresh demand and supply counts, imbalance count, the Confluence Score with a strength meter, and the narrative. Text size, position, and every color are adjustable, and long narrative text wraps inside its cell to keep the panel compact.
🔶 HOW TO USE IT
1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. The engine adapts structure size through the swing and internal length inputs.
2. Read the dashboard top to bottom: bias on both tiers, what just happened, where price sits in the range, and whether liquidity has been taken.
3. The highest-quality condition is full alignment: both tiers agree, a sweep has occurred against the move, price trades on the correct side of equilibrium, and a fresh volume-graded zone waits nearby — exactly what the Confluence Score measures.
4. Treat zone-tap signals as locations of interest stamped with their context quality, not as automatic entries. A score above eighty means nearly everything aligns; below fifty means the setup is thin.
5. Use inversion zones as polarity flips: a violated imbalance often acts as support or resistance from the other side.
6. Fair value gap drawing is off by default for a cleaner chart; enable it in settings — the score uses gap information either way.
🔶 SETTINGS
- Swing and internal structure lengths, structure events to keep.
- Order blocks: origin candle lookback and zones to keep.
- Fair value gaps: minimum size, inversion tracking, gaps to keep (drawing off by default).
- Liquidity: equal level tolerance and levels to keep.
- Premium and discount map with adjustable extension.
- Zone tap signals and signals to keep.
- All chart colors, plus a fully themeable dashboard: position, four text sizes, title band, background, frame, grid, and three text colors.
🔶 ALERTS
- Bullish / Bearish Break of Structure
- Bullish / Bearish Change of Character
- Buy-Side / Sell-Side Liquidity Sweep
- Demand Zone Tap / Supply Zone Tap (score-stamped)
- Fair Value Gap Inversion
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Structure events, sweeps, inversions, and signals are evaluated on closed bars at confirmed pivots. Pivot confirmation introduces intentional lag equal to the structure length.
What does the Confluence Score mean? It is a transparent sum of five weighted conditions, not a prediction. It measures how much of the smart money checklist is currently aligned — a context meter, not a probability of profit.
Why did an order block disappear? It was mitigated: price closed through it. The engine removes dead zones so the chart only shows levels that still matter.
Why do sweeps print only once at a level? Each swing level carries sweep memory and a cooldown, preventing the duplicate label stacking common in liquidity tools.
Which markets and timeframes work best? All markets with candle data. Higher timeframes produce larger, cleaner structures; the internal tier keeps lower timeframes readable.
🔶 CREDITS
The smart money concepts implemented here — order blocks, fair value gaps, liquidity sweeps, break of structure, change of character, and premium and discount — are trading concepts popularized by the Inner Circle Trader methodology of Michael J. Huddleston, with intellectual roots in the market logic of Richard D. Wyckoff. This script gratefully acknowledges that lineage. The confluence scoring model, the narrative engine, the zone life cycle system, the volume grading, the anti-duplication sweep memory, and all code in this script are original work
🔶 LIMITATIONS
Structure detection is only as good as the chosen pivot lengths; very noisy instruments may need larger values. Volume grading is less meaningful on symbols with unreliable volume reporting. Removed zones are not kept as historical artifacts. The Confluence Score measures alignment, not outcome. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any structure event, zone, or signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indicador
Previous Day Week Month Quarter High LowHTF Key Levels
📌 Overview
A clean, lightweight indicator that automatically plots key support and resistance levels from higher timeframes. These levels represent previous period highs and lows - areas where institutional traders and smart money often place orders.
📊 Levels Displayed
PDH / PDL - Previous Day High & Low
D2H / D2L - 2 Days Ago High & Low
PWH / PWL - Previous Week High & Low
PMH / PML - Previous Month High & Low
PQH / PQL - Previous Quarter High & Low
🎯 Why These Levels Matter
Higher timeframe highs and lows act as significant support and resistance zones. Price often reacts at these levels because:
Institutional orders cluster around these areas
They represent clear market structure points
Many traders watch and trade these levels
They serve as natural profit targets and stop loss areas
🔔 Built-in Alerts
Get notified instantly when price touches any level. Alert messages include:
Symbol name
Which level was touched (e.g., PDH, PWL)
The level price
Current price
Example alert: "🔔 XAUUSD touched PDH (Previous Day High) at 2650.50 | Price: 2650.75"
⚙️ Settings
Levels
Toggle each timeframe individually (Day, 2-Day, Week, Month, Quarter)
Customize color for each level
Alerts
Master enable/disable for all alerts
Choose to alert on Highs only, Lows only, or both
Style
Line width (1-4)
Line style (Solid, Dashed, Dotted)
Extend right - how many bars lines extend into the future
📈 Best Used On
Intraday charts (1m, 5m, 15m, 1H, 4H) - See daily and weekly levels
Daily chart - See weekly, monthly, and quarterly levels
💡 How To Use
1. Add the indicator to your chart
2. Enable the timeframes you want to see
3. Customize colors to your preference
4. Set up an alert for "Any HTF Level Touch"
5. Watch for price reactions at these key levels
🔧 Technical Notes
Daily levels only appear on intraday charts
Weekly levels appear on intraday and daily charts
Monthly and quarterly levels appear on all timeframes except monthly
Lines are automatically redrawn at the start of each new period
Labels stay at the end of lines for easy identification
📝 Changelog
v1.0 - Initial release
If you find this indicator useful, please give it a like! 👍 Indicador
