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Aegis Quantum Oracle [wjdtks255]Aegis Quantum Oracle: Energy Velocity Forecast ■ OVERVIEW The Aegis Quantum Oracle is a next-generation momentum forecasting framework designed to identify structural market shifts through Energy Velocity Analysis. By calculating the acceleration and deceleration of capital flow, this system predicts potential reversals before they manifest in price action. ■ TECHNICAL ARCHITECTURE Luminous Smoothing Engine: Utilizes an EMA-based pre-filter to eliminate market noise, ensuring that the energy calculation is based on high-conviction price data. Quantum Velocity Vector: The core algorithm calculates histVelocity—the second derivative of momentum—to track the rate of change in market energy. Oracle Thresholding: Signals are normalized against a 50-period historical average (avgEnergy) to maintain statistical significance across different volatility regimes. ■ PREDICTIVE FORECASTING (ORACLE DOTS) Energy Ignition (Green Dots): A leading indicator for bullish reversals, appearing when bearish momentum bottoms out and buy-side velocity begins to accelerate. Energy Freezing (Red Dots): A leading indicator for bearish reversals, appearing when bullish momentum reaches an exhaustion peak and sell-side velocity takes over.
Pine Script® indicator
by wjdtks255
MTF Confluence Gauge [JOAT]MTF Confluence Gauge Introduction One of the most persistent challenges in technical analysis is the problem of timeframe conflict. A setup that looks perfectly constructed on a 15-minute chart can be swimming against a powerful current on the 4-hour chart, while simultaneously aligned with the daily trend. Traders who operate on a single timeframe are making decisions without full awareness of the forces acting on the instrument across the full spectrum of market participants — from short-term speculators to institutional position traders whose horizons span weeks or months. The MTF Confluence Gauge addresses this challenge by simultaneously reading the HEMA (Hull-EMA Hybrid) trend state of up to 5 configurable assets across 5 configurable timeframes — producing 25 individual trend readings. Each reading is a directional vote: +1 for bullish HEMA alignment, -1 for bearish alignment, 0 for neutral. These 25 votes are summed into a raw score ranging from -25 to +25, normalized to a -100 to +100 scale, and further refined by local market modifiers including a delta proxy, volume RSI, volatility squeeze state, and local HEMA trend. The result is a composite gauge that represents the aggregate directional consensus across assets and timeframes simultaneously. This multi-asset capability makes the indicator unique even among multi-timeframe tools. Most MTF indicators read a single instrument across multiple timeframes. The MCG reads multiple instruments across multiple timeframes — enabling users to understand whether a bullish signal on their primary instrument is supported by correlated assets (e.g., sector ETFs, index futures, correlated crypto pairs) or is an isolated move that runs counter to the broader market ecosystem. A long signal supported by bullish readings across correlated assets and multiple timeframes is fundamentally different in quality from one that is isolated to a single timeframe of a single instrument. Core Concepts 1. HEMA Trend Function for MTF Reads The HEMA trend function is the foundational building block of every cell in the 5×5 matrix. For each asset-timeframe combination, request.security() retrieves the HEMA values on that timeframe, and the relative alignment of the fast, slow, and macro HEMA layers determines the trend vote. The lookahead parameter is explicitly set to barmerge.lookahead_off to ensure no future data contamination — the trend reading reflects only information that was available at the close of the most recent completed bar of the target timeframe. f_hema(src, len) => ta.ema(2 * ta.ema(src, len / 2) - ta.ema(src, len), math.round(math.sqrt(len))) f_mtfTrend(sym, tf) => h1 = request.security(sym, tf, f_hema(close, hFast), lookahead=barmerge.lookahead_off) h2 = request.security(sym, tf, f_hema(close, hSlow), lookahead=barmerge.lookahead_off) h3 = request.security(sym, tf, f_hema(close, hMacro), lookahead=barmerge.lookahead_off) h1 > h2 and h2 > h3 ? 1 : h1 < h2 and h2 < h3 ? -1 : 0 This function is called 25 times — once per cell in the matrix. The result for each call is stored in a 5×5 array of integers and subsequently used for both the raw score calculation and the table cell coloring. 2. Raw Score and Normalization The 25 individual trend votes are summed to produce a raw score. This sum is then smoothed with a 3-bar EMA to reduce single-bar noise. Normalization to the range is achieved by dividing the smoothed raw score by 25 (the maximum possible absolute value) and multiplying by 100. rawScore = 0 for r = 0 to 4 for c = 0 to 4 rawScore += trendMatrix.get(r * 5 + c) smoothedRaw = ta.ema(rawScore, 3) normalizedScore = smoothedRaw / 25 * 100 The normalized score forms the base for the histogram and is displayed in the dashboard as the "MTF Bias" value. By normalizing against the theoretical maximum, the scale is consistent regardless of how many assets are configured as neutral (0 votes) — the maximum expressible bull consensus is always +100 and the maximum bear consensus is always -100. 3. Local Score Modifiers The raw MTF score represents the multi-asset, multi-timeframe consensus, but it does not account for the specific conditions of the primary chart instrument at the current moment. Four local modifier calculations adjust the score based on immediate market context. The local HEMA trend applies a ±10 point bonus. The delta proxy (bar-range-based buying/selling pressure) applies a ±5 point bonus. Volume RSI above threshold applies a ±5 point bonus in the direction of the local trend. The volatility squeeze state applies a ±5 bonus when the market is not squeezing (i.e., volatility is freely expressing direction). All individual bonuses are summed and the combined total is clamped to the range. localBonus = localTrend * 10 deltaBonus = deltaPos ? 5 : -5 volBonus = highVol ? (localTrend > 0 ? 5 : -5) : 0 sqzBonus = squeezing ? 0 : localTrend * 5 totalScore = math.max(-100, math.min(100, normalizedScore + localBonus + deltaBonus + volBonus + sqzBonus)) displayScore = ta.ema(totalScore, 5) The final display score is a 5-bar EMA of the adjusted total, providing visual smoothness in the histogram while retaining the responsiveness of the underlying calculations. Local modifiers mean the gauge can show strong bull bias from MTF readings while still being dampened by bearish local conditions — a useful warning mechanism. 4. The 5×5 Color-Coded Table The visual centerpiece of this indicator is the 5×5 table rendered in the oscillator pane. Each of the 25 cells represents one asset-timeframe combination. Bullish cells are filled with teal and display an upward arrow (▲). Bearish cells are filled with red and display a downward arrow (▼). Neutral cells are filled with violet and display a dash (—). Row 6 of the table shows the column-sum score for each timeframe column, giving an immediate vertical read of how strongly any given timeframe is leaning across all configured assets. This allows traders to identify whether bias is uniform across timeframes or concentrated in specific horizons. 5. Histogram, Squeeze Background, and Reference Lines The composite score is rendered as a histogram with gradient fill — teal shades above zero transitioning toward deep teal at maximum bull readings, red shades below zero deepening toward maximum bear. Reference lines at ±25 define the "bias threshold" — readings beyond this level indicate a meaningful multi-timeframe lean. Reference lines at ±60 define the "strong conviction threshold" — readings here suggest near-uniform agreement across the majority of configured cells. When the local volatility squeeze is active (detected via ATR compression), the oscillator pane background tints violet, visually indicating that the current score may be elevated or depressed relative to its normal expression due to compressed price action. Features 25-Cell MTF Matrix: 5 configurable assets × 5 configurable timeframes, each independently returning a HEMA trend vote. lookahead_off Security Calls: All request.security() calls use barmerge.lookahead_off to prevent future bar data contamination. Smoothed Normalization: Raw score EMA-smoothed then normalized to for consistent cross-session comparability. Four Local Modifiers: Local HEMA trend, delta proxy, volume RSI, and squeeze state each contribute bonus points to produce a context-aware composite score. 5×5 Color-Coded Table: Teal/red/violet cells with directional arrows and column score totals for immediate visual matrix reading. Gradient Histogram: color.from_gradient fill above and below zero with reference lines at ±25 (bias) and ±60 (strong conviction). Squeeze Background Tint: Violet overlay on oscillator pane background when local volatility compression is detected. Nine-Row Dashboard: MTF bias label (six levels from STRONG BULL to STRONG BEAR), composite score, raw MTF score, squeeze state, Pearson R, delta bias, volume RSI, and local trend. Six Alert Conditions: Cross above +25, cross below -25, cross above +60, cross below -60, cross above 0, cross below 0. Input Parameters Asset Configuration: Asset 1-5 Symbols: Ticker symbols for each of the five configurable assets (defaults: current symbol, SPY, QQQ, GLD, TLT or equivalents) Timeframe Configuration: TF1-TF5: Five timeframe strings for the matrix columns (defaults: "15", "60", "240", "D", "W") HEMA Settings: Fast Length: HEMA fast period for all MTF reads (default: 20) Slow Length: HEMA slow period for all MTF reads (default: 50) Macro Length: HEMA macro period for all MTF reads (default: 100) Local Modifier Settings: Delta Window: Smoothing period for delta proxy calculation (default: 10) Volume RSI Threshold: Level above which volume is considered high (default: 65) ATR Squeeze Length: Period for local volatility compression detection (default: 20) Display Settings: Show Table: Toggle the 5×5 trend matrix table (default: true) Show Histogram: Toggle the composite score histogram (default: true) Show Dashboard: Toggle the nine-row information table (default: true) Show Squeeze Background: Toggle the violet compression tint (default: true) How to Use This Indicator Step 1: Configure Assets for Your Trading Context The indicator's value scales directly with the relevance of the configured assets to your primary instrument. For equity traders, configuring sector ETFs correlated with the primary stock (e.g., XLK for technology stocks, XLF for financials) alongside index instruments (SPY, QQQ, DIA) creates a meaningful consensus gauge. For crypto traders, configuring BTC, ETH, and leading altcoins provides an ecosystem-wide directional read. For forex traders, related currency pairs and safe-haven instruments (gold, bonds) capture macro correlation. Spend time selecting assets whose price behavior is structurally linked to your primary trading instrument. Step 2: Use the Table for Timeframe Structure Analysis Before looking at the composite score, read the table column by column. If the shorter timeframe columns (15m, 1H) are predominantly teal (bullish) but the longer timeframe columns (Daily, Weekly) are predominantly red (bearish), the market is in short-term counter-trend bounce territory — a higher-risk environment for long trades. Conversely, when both short and long timeframe columns are aligned in the same direction, the consensus is clean and structural. The column score row at the bottom of the table quantifies this alignment numerically. Step 3: Interpret the Composite Score Levels The ±25 threshold is the first meaningful level. A score above +25 indicates that more than half of the 25 cells are bullish (adjusted for local modifiers), suggesting a genuine bias rather than random noise. Between +25 and +60, the market has a directional lean but lacks uniform agreement. Above +60, the consensus is strong — the majority of assets across the majority of timeframes are in bullish alignment. The inverse applies below -25 and -60. Cross-zero signals (score moving from negative to positive) indicate a shift in aggregate consensus, which is often a leading indicator of trend changes on the primary instrument. Step 4: Monitor Local Modifier Impact The dashboard displays both the raw MTF score and the composite adjusted score. The difference between these two values reflects the cumulative impact of local modifiers. A large positive difference means local conditions (delta, volume, squeeze, HEMA) are amplifying the MTF signal. A large negative difference means local conditions are dampening it — the MTF matrix shows bulls, but the primary instrument itself is not confirming. In these cases, patience is warranted before entering. Indicator Limitations The indicator makes 25 request.security() calls plus additional local calculations. On crowded chart setups with many other indicators, this computational load may affect chart loading time. TradingView enforces limits on request.security() calls per script; users should be aware of this limit if adding other indicators with security calls. All 25 MTF trend readings update on the chart's native timeframe bars. Readings from higher timeframes update only when a new bar completes on that timeframe — the HEMA reading for a weekly timeframe, for instance, updates only at the weekly close. Between weekly closes, the weekly cell reading remains at the prior week's value. HEMA calculations at very short periods on very high timeframes (e.g., period 20 on a Monthly timeframe) may have insufficient bars to produce statistically stable readings. Users should ensure the target instrument has sufficient history on all configured timeframes. Asset correlation is dynamic — assets that are correlated in one market regime may decouple in another. A gauge configured for normal market correlation may produce misleading readings during crisis events when traditional correlations break down. The local modifier adjustments (±10, ±5, ±5, ±5) are fixed contribution weights. They do not adapt to changing market conditions and may disproportionately influence the composite score during specific regimes. The composite score is a simplified linear aggregation of heterogeneous signals. It treats a weekly HEMA reading as equivalent to a 15-minute HEMA reading in terms of contribution weight, which may not reflect the practical importance of longer timeframe trends. Originality Statement The MTF Confluence Gauge is an original multi-dimensional trend aggregation tool that differs meaningfully from existing multi-timeframe indicators. The 5×5 asset-timeframe matrix — simultaneously reading five user-configurable assets (not just one instrument across five timeframes) across five user-configurable timeframes — is an original architectural choice that enables cross-asset consensus analysis not available in standard MTF indicators. The HEMA-based trend vote function (requiring all three HEMA layers to be in sequence for a definitive +1 or -1 vote, otherwise returning 0) is a more stringent trend classification than simple moving average crossovers typically used in MTF dashboards. The four-component local modifier system — HEMA bonus, delta proxy bonus, volume RSI bonus, and squeeze state bonus — applied as additive adjustments to the normalized MTF score before display is an original composite scoring architecture. The six-level bias label system in the dashboard (STRONG BULL, BULL, SLIGHT BULL, SLIGHT BEAR, BEAR, STRONG BEAR) derived from the composite score threshold ranges provides a human-readable categorical summary not commonly implemented in MTF oscillators. The visual integration of the 5×5 table within the oscillator pane (rather than as a separate overlay) alongside the gradient histogram, squeeze background tint, and reference lines at ±25 and ±60 represents a unified pane design not seen in comparable indicators. Disclaimer The MTF Confluence Gauge is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Multi-timeframe and multi-asset confluence does not guarantee trade success. Correlation between assets changes over time and cannot be relied upon to remain stable. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
SNP420_claudos v1.0Indicator Overview (Work in Progress) A technical analysis indicator enhanced with a machine learning model. Feedback is welcome. Chart Elements & Signal Logic BUY (green label up) – Green arrow below the candle: Long entry signal based on EMA bullish crossover + confirmed trend + RSI confirmation. ★ BUY (strong green) – Brighter green: High-confidence long signal, additionally near support → improved risk-to-reward ratio. SELL (red label down) – Red arrow above the candle: Short entry signal based on EMA bearish crossover + confirmed trend + RSI confirmation. ★ SELL (strong red) – Brighter red: High-confidence short signal, additionally near resistance. EXIT (gold ×) – Gold cross: Close position when opposite EMA crossover occurs or RSI reaches extreme levels. Take Profit (TP) – Green dashed line: Target level, typically set at 2× the Stop Loss distance. Stop Loss (SL) – Red dashed line: Risk level, typically set at 1.5× ATR. Entry Line – Solid blue line: Trade entry price. Dashboard (Top Right Panel) Trend – Displays current market direction: UP / DOWN / FLAT. ATR – Shows current volatility in pips. RSI – Indicates momentum strength (Red > 70 = overbought, Green < 30 = oversold). Support – Nearest support level below the current price. Resistance – Nearest resistance level above the current price. Next Action – Suggested action: BUY / SELL / WAIT. TP – Recommended Take Profit level. SL – Recommended Stop Loss level. Summary This indicator combines trend-following logic (EMA crossovers), momentum confirmation (RSI), volatility-based risk management (ATR), support/resistance context, and a machine learning layer for filtering and prioritizing signals. The objective is to provide clear, actionable trade signals with predefined risk parameters and improved trade selection.
Pine Script® indicator
by SNP_420
AG Pro Pin Bar Quality Filter [AGPro Series]AG Pro Pin Bar Quality Filter Overview / What it does AG Pro Pin Bar Quality Filter is a price-action overlay built to detect pin bar candles and then separate higher-quality rejection candles from weaker or noisier ones. The script does not treat every long-wick candle as equally meaningful. Instead, it evaluates the internal candle structure first, then applies a compact quality framework around volume, recent momentum, and local support/resistance context. The result is a filtered pin bar workflow designed for traders who want cleaner chart annotation rather than a raw pattern dump. This tool focuses on one specific job: identifying rejection candles with a measurable structure and presenting them with a readable quality label directly on the chart. It is intended to help users inspect potential reaction points, not to replace broader market context or execution rules. The visual design is intentionally simple at the core: pin bar body highlighting, wick emphasis, directional markers, and compact quality labels. This makes the script suitable for traders who want candle-based context without converting the chart into a full market-structure dashboard. Unique Edge The distinctive feature of this script is that it does not stop at pattern detection. A standard pin bar script often marks candles only because they have a long wick. This script goes further by checking whether the wick is large enough relative to the body, whether the body itself is small enough relative to the full candle range, and whether one wick clearly dominates the other. That combination helps reduce ambiguous candles that visually resemble pin bars but do not express clean rejection. After the structural test, the script applies a three-part quality model: - volume confirmation - momentum context - support/resistance proximity This creates a practical quality hierarchy rather than a binary pattern label. In other words, the script is not only asking “Is this a pin bar?” but also “How much contextual support does this pin bar have?” An optional piercing check is also available for users who want stricter validation. This adds another layer of selectivity by requiring the candle body to show stronger positional behavior relative to the prior bar. Methodology The script starts by measuring the current candle: - candle body size - full candle range - upper wick length - lower wick length - dominant wick versus body ratio A raw pin bar candidate requires: - a minimum wick/body ratio - a maximum body percentage of full range - directional wick dominance This helps define whether the candle is a legitimate bullish or bearish rejection structure. Bullish pin logic is based on lower-wick dominance. Bearish pin logic is based on upper-wick dominance. Once a raw pin bar is detected, the script evaluates three contextual filters. 1) Volume filter The current volume can be compared against a moving average of volume. This helps identify candles that form with relatively stronger participation. 2) Momentum confirmation The script can check whether recent candles were moving in the opposite direction of the current pin bar. For example, a bullish pin bar becomes more meaningful when it forms after short-term downward pressure, while a bearish pin bar becomes more meaningful after short-term upward pressure. 3) Support / resistance proximity The script tracks pivot-based reference levels and checks whether the pin bar forms close to a recent local support or resistance area, using an ATR-based distance threshold. Each passed filter contributes to the final quality score. This produces a compact tiered output instead of a single undifferentiated signal stream. Signals & Alerts The script can identify: - bullish pin bars - bearish pin bars - higher-quality pin bars based on the selected minimum score Visual elements may include: - body highlighting on detected pin bars - wick emphasis - directional arrow markers - quality labels with contextual details - an information panel summarizing the active state The quality label can display the signal tier and relevant confirmations such as: - wick/body ratio - volume confirmation - momentum confirmation - support/resistance proximity Alert conditions are available for: - bullish pin bars - bearish pin bars - prime-quality pin bars - any valid pin bar that meets the selected score threshold This allows users to align alerts with their own strictness settings rather than monitoring every possible candle manually. Key Inputs Important user controls include: - minimum wick/body ratio - maximum body percentage of full range - wick dominance threshold - optional piercing requirement - volume filter enable/disable - momentum filter enable/disable - support/resistance filter enable/disable - minimum quality score - label size - panel display - maximum number of displayed signals These settings make the script adaptable across different instruments and chart styles. Users who prefer a broader scan can lower the strictness, while users who want fewer but cleaner signals can raise the thresholds. Limitations & Transparency This script is a rule-based candle-quality filter. It is not a market prediction engine, and it does not attempt to classify broader trend structure, liquidity behavior, or macro regime by itself. A pin bar can still fail even when all filters pass. A visually strong rejection candle is not automatically a durable reversal. Context such as higher-timeframe structure, trend state, volatility regime, session behavior, and instrument-specific character still matters. Support and resistance detection in this script is pivot-based and proximity-based. It is designed as a practical contextual filter, not as a complete structural mapping model. Volume behavior also varies by asset and market type. On some instruments, especially where centralized volume data is limited or interpreted differently, the volume filter should be treated as a supplementary input rather than a universal truth test. The momentum check is intentionally compact and local. It is meant to improve candle context, not to replace broader directional analysis. For these reasons, the script is best used as a chart-reading assistant within a larger process, not as a standalone decision framework. Risk Disclosure This script is provided for technical analysis and chart annotation purposes only. It highlights selected pin bar conditions based on user-defined structural and contextual rules. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend continuation can invalidate rejection candles, and false positives can occur in all timeframes and asset classes. Users should validate the script on their own instruments, timeframes, and risk models before relying on it in live conditions. Position sizing, stop placement, execution discipline, and overall trade management remain the responsibility of the user. In summary, AG Pro Pin Bar Quality Filter is designed to help traders study rejection candles with more structure, more selectivity, and cleaner on-chart presentation than a basic pin bar marker, while remaining transparent about what the script does and does not do.
Pine Script® indicator
by AGProLabs
2
Source-Aligned Oscillators (for Divergences)A simple tool to visualize oscillators on different price sources — and fix one of the most common divergence mistakes. Many traders look for divergence by comparing: price → using highs and lows oscillators (like RSI) → calculated on close This creates a hidden inconsistency. Oscillators such as Relative Strength Index, momentum, or ROC are typically built using close-to-close data. But when divergence is drawn using wick extremes (highs/lows), you are no longer comparing the same type of information. This becomes especially problematic on large candles: the distance between low and close (or high and close) can be significant price may print a new low via a wick while the close — and therefore the oscillator — shows little real change 👉 This often produces “fake” or misleading divergence signals. The idea behind this script Divergence should ideally be evaluated using aligned data sources: if your oscillator is based on closes → compare it to close-based structure if you want to use highs/lows → then the oscillator should reflect those extremes too This script allows you to do exactly that. What this tool does Displays a single oscillator at a time for clarity Supports multiple oscillators: RSI ROC Momentum MACD Histogram CMO Stochastic RSI Lets you compute them on different sources: Close HL2 HLC3 OHLC4 Candle body split (open/close extremes) High / Low split High / Low split mode (key feature) Instead of forcing one source, this mode shows: oscillator calculated on lows → useful for bullish structure oscillator calculated on highs → useful for bearish structure This helps you clearly see how oscillators behave when aligned with actual price extremes — instead of mixing closes with wicks. How to use it Switch between sources and observe how oscillator structure changes Compare close-based vs wick-based behavior Identify whether a divergence is: structurally meaningful or simply caused by a single candle wick Final note This tool does not generate divergence signals automatically. Its purpose is to help you see divergence correctly, with consistent data. Because sometimes the issue is not the market — it is how we measure it.
Pine Script® indicator
by QuantNomad
2
OneDose - MTF Trend Dashboard (FREE V1)This free multi time frame trend dashboard indicator that uses EMA based signals across multiple time frames to quickly identify overall market direction and strength to BUY or SELL. FEATURES Multi-Timeframe Trend Dashboard M5 → Monthly trend alignment 50 / 200 EMA trend detection Real-time directional arrows (▲ ▼) BIAS % showing overall trend strength Clean UI (dark & light mode support) Toggle background visibility Fully optimized for clarity and readability HOW TO USE Use this indicator to align trades with the dominant trend by checking the BIAS and individual timeframe arrows. When most timeframes align (UP or DOWN) the indicator will point a stronger directional conviction bias with a % showing BUY or SELL. Use higher timeframes (Daily, Weekly, Monthly) to confirm the broader market bias. Use lower timeframes (M5–H1) for timing entries in the direction of the trend. Avoid trading against strong multi timeframe alignment for better high probability trading setups.
Pine Script® indicator
by JaeBearInvests10
Flag Breakout Forecasts [AlgoAlpha]🟠 OVERVIEW This indicator detects converging price channels — commonly called flags or wedges — directly on the chart using a zigzag-based pivot detection algorithm. It identifies three collinear pivot points on both the highs and the lows to confirm a valid channel, then monitors the channel in real time for a breakout. Beyond just drawing the channel, the script assigns probabilistic forecasts to each active pattern. It uses the historical distribution of past breakout durations and directions to estimate the likelihood of an imminent breakout, whether that breakout will be bullish or bearish, and adjusts those estimates using live volume data accumulated inside the pattern. A supplemental volume table and a net-volume gauge render alongside each detected pattern, giving traders a second lens into the supply-and-demand balance before a move resolves. 🟠 CONCEPTS Zigzag — A filtered sequence of alternating swing highs and swing lows. Pivots are confirmed only after a user defined bars on each side, so shorter user defined values capture minor swings and larger values require more significant price moves. Collinearity check — Given three pivot points, the script projects a straight line from the first to the third and measures how far the middle pivot deviates from it, expressed as a percentage of price. If the deviation falls below the tolerance threshold, the three pivots are treated as lying on the same trendline. Converging channel — A pair of trendlines (one through swing highs, one through swing lows) where the gap between them narrows from left to right. This geometry distinguishes flags and symmetric wedges from parallel channels. Early detection — When one trendline is confirmed but the other lacks a third pivot, the script uses the current running extreme (an unconfirmed potential pivot) as a temporary third point. The resulting line is drawn dashed and upgrades to solid when the pivot is confirmed. Breakout confirmation — A break is logged after the close exits the projected channel boundary for two consecutive bars, or immediately when the breakout candle body extends well beyond the boundary and its body size is at least 3 standard deviations above the 20-bar mean body length. Normal CDF approximation — Breakout duration probabilities are derived using the Abramowitz and Stegun rational approximation to the standard normal cumulative distribution function, applied to z-scores computed from the historical distribution of past breakout durations. Net volume ratio — Bullish volume (up-close bars) minus bearish volume (down-close bars), divided by total volume, mapped to a −100 to +100 scale. Used to tilt the directional probability estimate away from the purely historical base rate. 🟠 FEATURES Automatic channel detection — Channels are drawn the moment three collinear pivots are confirmed on each side with matching alignment and convergence. • Solid lines for fully confirmed channels. • Dashed lines for the side that is still waiting on a third confirmed pivot. Probabilistic overlay label — Displayed above each active channel. • P(break): probability that a breakout will occur soon, based on how the current pattern duration compares to historical durations. • P(bull) / P(bear): directional probabilities derived from historical breakout directions and blended with live net volume. Net volume gauge — A color-gradient vertical bar drawn to the right of the last candle, with a pointer showing whether up-close or down-close volume dominates the current pattern. Volume statistics table — Shows bullish volume, bearish volume, net volume, total volume, ATR, and pattern duration for the most recent active pattern. Cell background intensity scales with volume magnitude. Breakout signals — Arrow labels mark the breakout bar with the direction, total volume absorbed, and the number of bars the pattern lasted. Background highlight — A subtle background color appears on the bar when a new pattern is first detected. To help users know the exact time the pattern was detected 🟠 HOW TO USE Adjust len to match the swings you trade — lower values (3–5) for intraday patterns, higher values (10–20) for swing or position setups. Tighten collinearity tolerance to 0.1–0.2% if you want only very clean trendline alignments; loosen it toward 1% if you want the indicator to catch more approximate formations. Watch the dashed channel side — it signals an early, unconfirmed pattern. Treat it as a warning rather than a confirmed setup, and wait for it to turn solid before acting. Check P(break) in the label — a reading above 70% means the current pattern has already lasted longer than most historical patterns, suggesting a resolution is statistically overdue. Use P(bull) and P(bear) alongside the volume gauge — when P(bull) is elevated and the gauge leans bullish, the two signals agree on direction. Disagreement between them calls for extra caution. Reference the volume table's net row — persistently positive net volume during a bearish-looking wedge can indicate absorption of selling pressure and a possible upside resolution. Set alerts for "Pattern formed," "Bullish breakout," "Bearish breakout," and the strong-break variants to monitor multiple instruments without watching the chart continuously. 🟠 CONCLUSION Flag Breakout Forecasts detects converging price channels using zigzag pivot collinearity and geometric validation, then layers on probabilistic duration and direction estimates derived from each instrument's own historical breakout data. The result is a self-calibrating pattern tool that combines structural chart analysis, volume profiling, and statistical inference in a single overlay.
Pine Script® indicator
by AlgoAlpha
7
Weekly & Monthly HLThis indicator automatically plots the current weekly and monthly high and low levels as clean horizontal lines on the chart. These levels are widely used by traders to identify key areas of interest where price may react, reverse, or consolidate. The script is designed with a minimal and distraction-free layout. Labels are positioned on the right side of the chart, keeping the view clean while clearly marking each level. Weekly levels are shown in blue and monthly levels in red, making it easy to distinguish between short-term and higher timeframe zones. This tool can be helpful for understanding market structure, planning entries, and managing risk across different timeframes.
Pine Script® indicator
by gradsgold
BullBearXinsights - ATR Projection Levels [Phil Vo]This tool helps you understand how far price has moved during the session based on its average daily range (ATR). Instead of guessing where price might go, it shows you where price currently sits within its expected move for the day. I personally use it to read context: When price is near the lower percentages, the session is still developing and has room to move. Around the middle levels, the move becomes more meaningful and you want to be more selective. As price approaches the higher levels, the move is more stretched and risk starts to increase. This is not a signal indicator. It’s designed to give you a clearer sense of positioning, timing, and expansion during the session. Use it alongside your own strategy to avoid chasing extended moves and to better understand when price still has room to go. So I built this because I didn’t want to guess anymore. Most traders chase moves without knowing how much of the day is already used.
Pine Script® indicator
by BullBearInsights
2
Esco Theory V3.1Esco Theory Geometry Model V3 is a structural analysis overlay that maps market geometry, supply and demand, liquidity, fair value gaps, and volatility compression in one framework. The tool combines market structure, liquidity mapping, supply and demand zones, fair value gaps, and volatility squeeze detection into a single structural system. It does not generate buy or sell signals. It shows the structural conditions that often precede large moves so traders can plan trades around them. Built for discretionary traders who read price action and structure. Originally developed for crypto futures but it works on any liquid market. Every feature can be toggled on or off. Every color, lookback period, tolerance, and threshold is adjustable. You can run only rails and support resistance or the full system. It adapts to your trading style and timeframe. WHAT IT SHOWS V3 draws the structural architecture of price directly on the chart. Geometric rails and trend channels from swing pivots Horizontal support and resistance from clustered pivot levels Supply and demand zones validated by displacement Fair value gaps from three candle imbalances Inverse fair value gaps from filled imbalances Equal highs and equal lows that often act as liquidity targets Confluence zones where multiple levels overlap Volatility compression detection with squeeze and expansion signals Each component is independent. Turn on what you use. Turn off what you do not. GEOMETRIC RAILS The indicator connects significant swing highs and lows with diagonal trendlines and projects them forward. Minor rails track recent structure. Major rails map the larger cycle. Cross rails connect highs to lows for diagonal support and resistance. Cycle fans project from cycle extremes through opposing pivots. These rails form structural corridors that price often travels inside. When a rail aligns with a horizontal level or a supply demand zone the reaction tends to be stronger. Rail color, width, extension distance, and cross rail count are adjustable. SUPPORT AND RESISTANCE Nearby pivot points are clustered into horizontal levels. Each level includes a touch count so you can see how many times price has reacted there. More touches usually means a stronger level. Levels automatically flip between support and resistance depending on where price trades relative to the level. You control minimum touch count and clustering tolerance so detection can be tuned for your timeframe or market. SUPPLY AND DEMAND ZONES Zones are detected at pivots where price displaced strongly away from the origin candle. A valid zone requires clear displacement. Supply zones represent potential distribution areas. Demand zones represent potential accumulation areas. Zones are removed when price closes through them. New in V3 zones track retests. Each time price revisits a zone the color fades slightly and the label updates with the retest count. A fresh zone with zero retests is strongest. A zone labeled S x3 has been tested three times and is weaker. Zone count, pivot lookback, mitigation behavior, fade behavior, and colors are configurable. FAIR VALUE GAPS V3 detects fair value gaps using three consecutive candles where a price gap forms around the middle candle. Bullish FVG occurs when candle one high does not overlap with candle three low. Bearish FVG is the inverse. Fair value gaps represent price inefficiency where the market moved too quickly. These areas often get revisited as price rebalances. Minimum gap size, lifespan, and automatic removal after midpoint fill can be configured. INVERSE FAIR VALUE GAPS When a fair value gap is fully mitigated it becomes an inverse fair value gap. A filled bullish FVG becomes resistance. A filled bearish FVG becomes support. The zone remains on the chart with a different color until price closes through it again. This captures the common behavior where filled imbalance zones flip direction. CONFLUENCE The indicator scans all detected levels and highlights areas where several structures cluster together. When rails, horizontals, and supply demand overlap the probability of a reaction increases. Confluence zones show how many levels overlap in the same area. Cluster width and minimum level count can be adjusted. COMPRESSION AND SQUEEZE Volatility compression is detected using ATR ratio, Bollinger Band width, and Keltner Channel containment. When volatility contracts the chart highlights compression. This means price is coiling and energy is building. Optional wedge detection shows converging pivot structure during compression. Compression thresholds and pivot lengths can be tuned. SQUEEZE AND FIRE The squeeze system identifies when Bollinger Bands sit inside Keltner Channels. Red diamonds mark squeeze bars. Volatility is compressed and a move is building. This does not predict direction. Green triangles mark the fire bar where compression releases and volatility expands. Expansion often appears as breakouts or displacement candles. LIQUIDITY The indicator detects equal highs and equal lows. These areas often act as liquidity pools where stops accumulate. Price frequently moves toward these levels before reversing or continuing. Tolerance for equal highs and lows can be adjusted. HOW TO USE IT Strong setups occur when several tools agree. Typical workflow. Read the rails and understand the direction of structure. Identify key levels from support resistance, supply demand, and fair value gaps. Look for confluence where several levels overlap. Watch compression. Squeeze near a key level means energy is building. Wait for fire. Expansion from a confluence area often produces the move. Confluence matters more than any single signal. The indicator is meant to be tuned to your style and timeframe. The default settings are a starting point. MARKETS Originally built for Bitcoin and crypto perpetual futures. It works well on other liquid markets including Ethereum, forex majors, index futures, and high volume equities. Default settings are tuned for crypto on 5 minute to 4 hour charts. Adjust swing lookback and pivot length when switching markets or timeframes. ESCO THEORY Markets move through repeating cycles. Compression Liquidity grab Expansion Most traders only see the breakout. Structural traders map the conditions that lead to it. Esco Theory focuses on identifying those structural conditions. Geometry Model V3 visualizes them on the chart. DISCLAIMER This indicator is for market structure analysis only. It does not provide financial advice or automated trade signals. Always use proper risk management. Trade safe. Esco
Pine Script® indicator
by escobrypto
Dynamic Median Momentum Oscillator [AlgoAlpha]🟠 OVERVIEW This script provides a momentum oscillator that uses a median-based approach rather than traditional averages to find the center of price action. By calculating the distance between the current price and a rolling median (HLC3), it identifies how far the market has stretched from its historical equilibrium. The indicator is designed to filter out the noise typical of standard momentum tools, using a standardized range calculation to provide fixed overbought and oversold zones. It helps traders identify trend strength, potential exhaustion, and mean reversion opportunities across different market conditions. 🟠 CONCEPTS The core of this tool is the Dynamic Median basis, which uses a rolling median of the HLC3 price to establish a "fair value" line. Unlike a simple moving average, the median is less sensitive to extreme price spikes, making the resulting oscillator more robust against outliers. To ensure the oscillator remains readable across different assets, the raw difference between price and median is standardized by the average candle range (EMA of High-Low). This normalization allows for the use of fixed thresholds (e.g., +/- 200, 250, 300) regardless of the asset's price. The median sets the context for the baseline, while the smoothed MCD and its signal line provide the timing for entries and exits. 🟠 FEATURES Standardization feature to enable fixed overbought/oversold levels across any asset Multi-component display: Fast (histogram), Slow (lines), and Super Slow (filled zones) Reversion markers (triangles) indicating price returning from extreme levels 🟠 USAGE Setup : Add the script to your chart and choose your preferred Display Mode. Use "All" to see the full picture or "Slow" for a cleaner view of trend direction. Ensure "Standardize" is checked if you want to use the built-in overbought/oversold bands effectively. Read the chart : Look for the Smooth MCD (white line) crossing the Signal (orange line) for momentum shifts. Values above 0 indicate bullish momentum, while values below 0 indicate bearish momentum. Triangles appear at the top or bottom of the oscillator when price reaches extreme levels (300/-300) and begins to revert to the mean. Settings that matter : The Basis Length determines how much historical data defines the "center" of the market; longer lengths are better for higher timeframes. Smoothing Length controls the reactivity of the main white line—increase this if you find the oscillator is giving too many false signals in choppy markets.
Pine Script® indicator
by AlgoAlpha
9
15M Candle Overlay v215M Candle Overlay v2 — Enhanced Overlay your 15-minute candles directly onto any lower timeframe chart (1m, 3m, 5m, etc.) without switching tabs. The candle group renders to the right of the current bar, keeping it clean and separate from live price action. What it shows: Up to 6 closed 15m candles + the forming candle, drawn as real candlesticks with wicks and color-coded bodies Volume bars scaled proportionally beneath each candle — the highest-volume candle is highlighted with a gold border A colored trend line connecting consecutive 15m closes (green = rising, red = falling) Dashed Support/Resistance lines marking the high and low of the visible 15m group An info panel anchored to the right of the group showing: current pattern, strength, multi-candle pattern, bias, O/C, H/L, and time remaining in the current 15m candle — panel background tints green/red based on overall bias Pattern Detection: 15+ single-candle patterns: Doji variants, Hammer, Shooting Star, Marubozu, Belt Hold, Spinning Top and more 20+ multi-candle patterns: Engulfing, Harami, Morning/Evening Star, 3 White Soldiers, 3 Black Crows, Kicker, Tweezer, Piercing Line, Rising/Falling 3 Methods and more Each pattern labeled with name, strength rating (Strong/Moderate/Weak), and body percentage All features are individually toggleable in the settings panel. Customizable colors, gap spacing, candle width, and pattern detection sensitivity thresholds.
Pine Script® indicator
by Heavyguidance
White Core Trend [wjdtks255]■ Technical Methodology The White Core Trend is a high-fidelity trend-following engine designed to provide institutional-grade market bias. It utilizes a deep-period Hull Moving Average (HMA) to effectively filter out market noise and "whipsaws" that often plague standard moving averages. ■ Execution Logic: Confirmed Price Action The engine triggers execution signals only when a confirmed candle close occurs above or below the White Core Line. This ensures that the trader capitalizes on decisive momentum shifts rather than entering on premature price spikes. ■ Key Functional Features The Core Anchor: A ultra-smooth trend backbone that acts as the primary threshold for bullish or bearish regimes. Directional Shape Markers: Precise Green (Up) and Red (Down) triangles identify the exact candle where a trend shift is validated. Dynamic Entry Anchor: A visual reference line (Box Logic) is plotted at the entry price level to help traders manage their initial position setups effectively. ■ Operational Guide Bullish Regime: Indicated by a Green triangle as price breaks above the core line. Bearish Regime: Indicated by a Red triangle as price breaks below the core line.
Pine Script® indicator
by wjdtks255
Customized Double Bollinger Bands [wjdtks255]■ Technical Overview The Customized Double Bollinger Bands is a multi-layered volatility analysis framework. Unlike standard single-band indicators, this script synchronizes two independent volatility engines to identify both the "Value Area" (Band 1) and "Extreme Volatility Zones" (Band 2) simultaneously on a single interface. ■ Implementation & Logic Dual-Deviation Synchronization: The script calculates two distinct standard deviation layers ($StdDev_{0.5}$ and $StdDev_{3.0}$) to provide a high-fidelity view of price distribution. Dynamic Range Compression: By comparing the gap between the Blue (Inner) and Red (Outer) bands, traders can visually identify "Squeeze" and "Expansion" phases with institutional-grade precision. ■ Key Features Fully Customizable Layers: Independent control over 'Length', 'StdDev', and 'Color' for both band sets allows for adaptive strategies across different timeframes. Optimized Visual Clarity: Designed with specific line-width controls to ensure the chart remains readable even during high-volatility spikes. ■ Trading Method Core Trend: Use the Inner Blue Bands ($0.5$ StdDev) to track the primary trend strength. Reversal Watch: Use the Outer Red Bands ($3.0$ StdDev) as exhaustion points where price is statistically overextended.
Pine Script® indicator
by wjdtks255
VSA Climactic Action ProThis setup highlights a Climactic Action Bar based on Volume Spread Analysis (VSA) principles. A climactic bar typically appears after an extended move and is characterized by: Unusually high volume Wide spread candle (large range) Strong reaction from key HTF level (Premium/Discount zone, OB, or liquidity area) 📌 Market Logic: Climactic activity often signals aggressive participation — either professional distribution (after bullish expansion) or absorption/accumulation (after bearish expansion). However, volume alone is not confirmation. The focus should remain on: Structure shift (BOS / CHoCH) Liquidity sweep Displacement candle FVG formation Proper mitigation into key zone 🎯 Execution Model (Example Framework): Identify HTF context (H4 / H1 bias) Wait for climactic volume at premium/discount extreme Confirm structure shift on lower timeframe (M15 / M5) Enter on retracement into imbalance / order block Risk ≤ 1–2% per trade ⚠️ This is for educational purposes only and not financial advice. Always follow your own risk management plan.
Pine Script® indicator
by Selena_FX_Trader
Premium Price Action [Alpha Extract]A sophisticated trend-following rail system that combines dual-lookback price averaging with adaptive ATR-based trailing levels for clean trend identification and momentum-sensitive visual feedback. Utilizing staircase rail logic with dynamic ribbon visualization and strength-modulated transparency, this indicator delivers institutional-grade trend detection with minimal whipsaw through intelligent rail adaptation. The system's multi-lookback baseline construction combined with ATR-scaled distance creates robust trend rails that only flip on genuine structural changes while maintaining visual clarity through glow effects and regime-based background coloring. 🔶 Advanced Dual-Lookback Baseline Framework Implements sophisticated baseline calculation using two configurable lookback periods to sample recent price history at different intervals, averaging results and applying dual smoothing for stable trend reference. The system retrieves close prices from first lookback (default 12 bars) and second lookback (default 27 bars), calculates their average, applies SMA smoothing, then EMA smoothing for ultra-clean baseline resistant to short-term noise while maintaining responsiveness to genuine trend shifts. // Dual-Lookback Baseline Construction Close_1 = close Close_2 = close Close_Avg = (Close_1 + Close_2) / 2.0 Baseline_Raw = ta.sma(Close_Avg, SMA_Length) Baseline = ta.ema(Baseline_Raw, Smooth_Length) 🔶 Adaptive Trailing Rail Architecture Features intelligent rail calculation that trails price using ATR-scaled distance from baseline with ratcheting logic preventing premature reversals. The system calculates upper rail (baseline + ATR × multiplier) and lower rail (baseline - ATR × multiplier), implements adaptive trailing where bullish rail only rises or holds while bearish rail only falls or holds, and transitions rails only when price violates opposite rail creating clean staircase pattern. // Adaptive Rail Logic Upper_Rail = Baseline + ATR * Rail_Multiplier Lower_Rail = Baseline - ATR * Rail_Multiplier // Ratcheting Behavior Bull_Rail = close > Bull_Rail ? max(Lower_Rail, Bull_Rail ) : Lower_Rail Bear_Rail = close < Bear_Rail ? min(Upper_Rail, Bear_Rail ) : Upper_Rail // Trend Determination Trend = close < Bull_Rail ? -1 : close > Bear_Rail ? 1 : Trend 🔶 Staircase Step-Line Visualization Implements stepline plot style creating distinctive staircase appearance that visually emphasizes trend persistence and makes rail level changes instantly recognizable. The system uses plot.style_stepline rendering that draws horizontal segments at each rail level with vertical connections only at transition points, producing clean geometric pattern that distinguishes this rail system from curved moving averages or bands. 🔶 Dynamic Strength-Based Transparency Provides sophisticated transparency modulation where background and ribbon opacity adjust based on momentum strength relative to ATR volatility. The system calculates momentum as price distance from baseline, normalizes by ATR to produce 0-1 strength score, and reduces transparency (increases intensity) as strength increases, creating visual feedback where strong trends display vivid colors and weak trends show muted tones. 🔶 Multi-Layer Glow Effect System Features triple-layer rail rendering with progressively wider and more transparent outer layers creating luminous glow effect emphasizing trend rail. The system plots core rail at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, producing visual depth and making rail instantly recognizable without cluttering chart space. 🔶 Adaptive Ribbon Visualization Creates ATR-scaled ribbon extending below bullish rail or above bearish rail with width proportional to current volatility and transparency modulated by trend strength. The system calculates ribbon size using ATR × ribbon multiplier, positions ribbon adjacent to active rail, and applies dynamic transparency that intensifies during strong momentum creating intuitive visual representation of trend conviction and volatility context. 🔶 Regime Background Highlighting Implements subtle background wash using trend color with strength-adjusted transparency providing full-chart regime awareness without obscuring price action. The system applies bullish or bearish background color with base transparency that decreases (color intensifies) as momentum strength increases, creating gradient effect where powerful trends display more prominent backgrounds while weak trends maintain subtle presence. 🔶 Intelligent Flip Detection Logic Generates trend reversal signals only when price violates opposite rail with confirmation, preventing false signals during normal retracements. The system detects bullish flip when previous trend bearish and close crosses above bearish rail, detects bearish flip when previous trend bullish and close crosses below bullish rail, and places compact BULL/BEAR labels at ribbon edges marking exact reversal bars for clear visual confirmation. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through colored rail with glow effects, ATR-scaled ribbons, regime backgrounds, trend-synchronized candle plotting, and optional chart candle coloring. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements, allowing customization from minimal (rail only) to comprehensive (all features) presentation. 🔶 Baseline Reference System Includes optional baseline plot showing underlying smoothed dual-lookback average serving as neutral reference level and trend bias indicator. The system displays baseline with neutral color at reduced opacity, enabling traders to assess whether price trades above baseline (inherent bullish bias) or below baseline (inherent bearish bias) independent of current rail trend state for confluence analysis. 🔶 Performance Optimization Framework Employs efficient calculation methods with optimized rail ratcheting logic, streamlined strength calculations, and intelligent plot rendering that only processes active visual elements. The system includes smart state tracking for trend persistence, minimal recalculation overhead through nz() functions and conditional logic, and smooth visual updates maintaining consistent performance across extended historical periods. 🔶 Why Choose Premium Price Action ? This indicator delivers sophisticated trend-following analysis through adaptive rail methodology with dual-lookback baseline construction and ATR-scaled distance. Unlike traditional moving average systems prone to whipsaw during choppy conditions, the ratcheting rail logic with opposite-rail violation requirements creates definitive trend states that persist through normal retracements. The system's staircase visualization instantly communicates trend persistence, strength-modulated transparency provides conviction feedback, and comprehensive visual integration enables complete trend assessment without switching between multiple indicators. Perfect for swing traders and position managers seeking clear trend identification with minimal false signals across cryptocurrency, forex, and equity markets where the adaptive rails naturally adjust to varying volatility regimes while maintaining consistent signal quality.
Pine Script® indicator
by AlphaExtract
Power Signal v6 by GRAWDAYTRADERPower Signal v6 Description Power Signal Indicator (PSI) is a market strength indicator that combines volume analysis and price proximity to daily highs to generate high-quality trading signals. What the Indicator Does The script calculates a "Power Index" based on two key components: Proximity to High — measures how close the current price is to the previous day's high in percentage terms Relative Volume — compares current volume to the average volume over a selected period (default 20 bars) When price is within 1% of the daily high AND volume exceeds 150% of average, the indicator applies a 1.2 multiplier to the relative volume, creating the "Power Index". When this index crosses a defined threshold (default 150), it generates a PSI! signal with a visual marker on the chart and an audio alert. Visualization Main line displays in a separate pane below the chart Line color: lime (when Power > 100) or gray Horizontal levels: yellow (plot threshold) and red dotted line (signal threshold) Information table in top-right corner shows current values of all components Who Will Find It Useful Day Traders and Scalpers: Identifies moments of heightened market activity with strong volume Helps catch momentum moves on breakouts Generates clear entry signals with customizable alerts Swing Traders: Confirms trend strength through price and volume combination Filters false breakouts — signals only occur with significant volume Shows when price is near important levels with institutional interest Volume Traders: Visualizes abnormal volume activity in the context of price movement Helps identify accumulation/distribution zones Combines price action with volume analysis in one tool Key Benefits: Customizable thresholds for different timeframes and instruments Automatic alerts (audio and visual) Minimalist design with clear signals Works on any market: stocks, crypto, forex, futures The indicator is especially effective on volatile instruments with good liquidity, where volume plays a critical role in confirming price movements.
Pine Script® indicator
by GRAWDAYTRADER
EMA Cloud + AlertsMulti‑Time Frame EMA Cloud with Pre‑Defined Modes for Intraday, Daily, and Weekly Trading. This indicator provides a clean, non‑repainting EMA Cloud system with optimized presets for different trading styles and volatility regimes. Modes automatically adjust EMA lengths, label sizes, and visual behavior for each timeframe category. Modes Included: Weekly – Standard (8/21) Weekly – Noise Filter (10/22) Daily – Standard (8/21) Daily – Smooth Trend (10/20) Daily – MACD Style (12/26) Intraday – Momentum (5/13) Intraday – Smooth Momentum (9/27) Features: Non‑repainting crossover logic (optional “Wait for Close” mode) Adaptive label sizing based on mode (tiny → small → normal) EMA Cloud visualization with trend‑persistent coloring Trend change alerts (LONG / SHORT) Distance‑to‑EMA table for precision entries and risk management Optional higher‑timeframe EMA sourcing Ideal For: Intraday momentum trading Daily swing trading Weekly trend and regime filtering Multi‑timeframe alignment strategies
Pine Script® indicator
by followmytradingjournal
Liquidity Confluence TerminalZero-Lag Liquidity Confluence System is a multi-timeframe trend alignment and execution planning indicator designed to highlight high-probability trade opportunities when higher timeframe structure agrees. The script evaluates Daily, Weekly, and Monthly candle bias to determine full directional confluence, only allowing signals when all three timeframes are aligned. A zero-lag EMA model provides responsive trend detection while minimizing delay, acting as the primary trigger mechanism. In addition, the system dynamically identifies volume-backed liquidity breakouts to establish adaptive supply and demand levels, which are then used for intelligent stop placement. When confluence and trigger conditions align, the indicator automatically generates a structured trade plan, including entry, stop loss, and take profit levels based on a configurable risk-to-reward ratio. A real-time dashboard displays higher timeframe bias, while visual glow and background cues emphasize alignment states. This tool is built for traders who prioritize structure, confirmation, and disciplined risk management over reactive signal chasing.
Pine Script® indicator
by Bmillytookprof
HTF Volume Liquidity Profile [AlgoAlpha]🟠 OVERVIEW This tool projects a volume profile from a higher timeframe directly onto your current chart. By breaking down historical price action into vertical intervals, it creates a heatmap of where volume was concentrated during that larger period. It maps out areas of high liquidity, showing exactly where buyers and sellers were most active, and displays a detailed breakdown of bullish versus bearish volume at specific price levels within that higher timeframe block. 🟠 CONCEPTS This script takes that concept and applies it to a higher timeframe, meaning you can look at a 5-minute chart and see the volume distribution for the entire day overlaid as a single block. It calculates the highest and lowest prices of the chosen timeframe and divides that range into smaller segments based on your resolution setting. It then tallies the volume of every lower timeframe candle that falls into each segment. It also splits this volume into positive and negative flows based on whether the individual candles closed green or red. This gives you a clear picture of net directional pressure at each price level, acting like a lightweight footprint chart. 🟠 FEATURES Higher timeframe volume heatmap overlaid directly on the current lower timeframe chart. Inner mini-boxes showing the exact proportion of bullish (green) vs bearish (red) volume at each specific price level. Summary label displaying total up volume, down volume, volume delta, and overall sentiment for the entire interval. 🟠 USAGE Setup : Add the script to your chart. Choose a higher timeframe that makes sense for your trading style (for example, use 1D if you are trading on a 5-minute or 15-minute chart). Adjust the resolution depending on how granular you want the price levels to be. Read the chart : Darker, more opaque background boxes mean a high amount of total volume was traded at that price level (High Volume Nodes). The inner mini-boxes show the tug-of-war at that level; a longer green inner box means buyers dominated that specific price, while a longer red one means sellers dominated. The label at the bottom of each block summarizes the total volume delta so you instantly know who won the overall period. Settings that matter : The Higher TimeFrame input dictates the width and duration of each volume profile block. The Profile Resolution input controls how many vertical slices the price range is divided into; increasing this adds finer detail but can visually clutter the chart if set too high.
Pine Script® indicator
by AlgoAlpha
Inside DayThe Inside Day Background indicator automatically highlights Inside Day candles directly on the chart using a customizable background color. An Inside Day occurs when the current candle’s high is lower than the previous candle’s high, and the current low is higher than the previous candle’s low — signaling price consolidation and range compression. This condition often precedes volatility expansion and breakout opportunities. How It Works The script scans each bar and checks the following condition: Current High < Previous High Current Low > Previous Low When both are true: The chart background is highlighted No shapes or labels are plotted (clean chart visualization) An alert condition is triggered (optional) Trading Use Cases Inside Days are commonly used for: Breakout strategies Range expansion setups Volatility contraction signals Bull Flag / consolidation continuation patterns Opening range continuation plays Traders often watch for a break above the Inside Day high (bullish) or below the low (bearish). Features Clean background highlight only (no chart clutter) Fully customizable background color Toggle on/off visibility Built-in alert condition Works on all timeframes Overlay on price chart Notes Consecutive Inside Days will continue highlighting until range expansion occurs. Best combined with volume, VWAP, or range breakout strategies. Effective for both day trading and swing trading environments.
Pine Script® indicator
by barrosnobre