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{WH}. Speed Box 7DTechnical indicator that measures price movement speed and momentum using an accelerated adaptive moving average. Computes a dynamic EMA whose smoothing adapts to market volatility and acceleration. Builds a “trend speed” metric by accumulating momentum to identify directional shifts. Integrates a Trend Magic system based on CCI + ATR to detect bullish or bearish trends. Supports automatic or custom multi-timeframe synchronization for signal alignment. Colors candles based on coherence between speed and trend direction to highlight divergences. Includes a smoothed stochastic the main oscillator visualization. Optionally plots a dynamic average directly over price action. Displays a small info table showing active timeframe for clearer operational context.
Pine Script® indicator
by WarriorHuntCoin
PropSense Macro Crash Early Warning SystemA 9-signal macro crisis early warning system that monitors financial stress across Treasury yields, banking health, credit markets, volatility, the yield curve, currency extremes, interbank funding conditions, and real interest rates. It scores all signals using a weighted DEFCON-style threat model with built-in confluence detection, and alerts you when conditions are deteriorating toward systemic breakdown. Apply it to any daily chart — it pulls all data externally and works regardless of the underlying symbol. ═══════════════════════════════════════════════════════════════════════ █ OVERVIEW Financial crises don't appear overnight. They build through a sequence of deteriorating conditions across interconnected markets. The problem is that most investors monitor these signals in isolation — if they monitor them at all — and miss the compounding effect when multiple systems start breaking simultaneously. This indicator solves that by pulling data from twelve different sources, evaluating nine distinct stress signals across three tiers, and combining them into a single weighted threat score mapped to a DEFCON 1–5 scale. Each signal has two thresholds — an amber Warning for early detection and a red Danger for confirmed crisis conditions. A dedicated Confluence Detector then monitors whether multiple danger signals are firing simultaneously — the single strongest predictor of a systemic crash. The four-column dashboard displays everything at a glance: current values, warning/danger thresholds, and traffic-light status, alongside real-time liquidity conditions. ═══════════════════════════════════════════════════════════════════════ █ THE NINE SIGNALS Signals are organised into three tiers: Primary (weighted 1.0x), Secondary (weighted 0.5x), and Institutional (weighted 0.75x–1.0x). — PRIMARY SIGNALS (Weight: 1.0x) — Signal 1: 10-Year US Treasury Yield (TVC:US10Y) The backbone of global asset pricing. When it breaks above 5% and sustains, it signals the bond market no longer trusts US fiscal sustainability — triggering a potential debt spiral. Uses "X of last Y days" sustained confirmation logic (default: 3 of last 5 days above threshold) so single-day dips from auction noise don't reset the counter. • Warning: 4.5% | Danger: 5.0% sustained 3 of last 5 days Signal 2: KRE Regional Banks Drawdown (AMEX:KRE) Tracks US regional banks holding the majority of commercial real estate loans and small business lending. Calculates drawdown from a rolling 252-bar peak (1 trading year). A 30% decline signals systemic banking stress — hidden CRE losses surfacing, deposit flight, potential bank runs. KRE fell ~35% during SVB (2023) and ~60% in 2008. • Warning: -15% from peak | Danger: -30% from peak Signal 3: High Yield Credit Spread (OAS) (FRED:BAMLH0A0HYM2) The yield premium junk bond investors demand over Treasuries — the single best real-time indicator of credit market health. At 3–4% the market is calm. At 6%+ credit is freezing: companies can't refinance, defaults spike, and corporate funding seizes. This pattern preceded Bear Stearns, Lehman, and the COVID crash. • Warning: 4.5% | Danger: 6.0% — SECONDARY SIGNALS (Weight: 0.5x) — Signal 4: VIX (Fear Index) (CBOE:VIX) Expected 30-day S&P 500 volatility from options pricing. Below 15 is complacent, 20–25 is elevated, and sustained readings above 35 indicate panic-level fear (COVID hit 82, 2008 hit 80). Uses the same "X of last Y days" sustained logic as Signal 1. A separate VIX Spike detector fires on 50%+ surges within 5 bars. • Warning: 25 | Danger: 35 sustained 3 of last 5 days | Spike: +50% in 5 bars Signal 5: Yield Curve (2Y–10Y Spread) (TVC:US10Y minus TVC:US02Y) Every US recession since 1970 was preceded by a 2Y-10Y inversion. The critical insight: recessions don't start during the inversion — they start when the curve rapidly un-inverts . The indicator tracks four distinct states: • Inverted — spread ≤ 0%: Warning • Deep Inversion — spread ≤ -0.5%: Warning • Rapid Normalisation — steepened 0.5%+ over 20 bars from negative: Danger • Recently Un-inverted — curve was inverted within last 60 bars but normalised slowly: Warning The "recently un-inverted" state closes a blind spot where the curve normalises gradually but recession risk persists for months after un-inversion. Signal 6: DXY (US Dollar Index) (TVC:DXY) A two-sided signal — both extremes are dangerous. A surging dollar above 110 crushes EM economies and tightens global financial conditions. A collapsing dollar below 95 signals loss of confidence in US assets and capital flight. If the dollar collapses while yields are rising, foreign investors are dumping both Treasuries and dollars — the worst scenario. • Warning: ≤98 or ≥105 | Danger: ≤95 or ≥110 | Surge alert: ±5% in 20 bars — INSTITUTIONAL SIGNALS (Weight: 0.75x–1.0x) — Signal 7: Bank Funding Stress — SOFR minus IORB (FRED:SOFR minus FRED:IORB) The modern TED Spread — a direct window into the banking system's plumbing. SOFR is the rate banks charge each other for overnight secured lending. IORB is the risk-free rate the Fed pays on reserves. When SOFR exceeds IORB by a meaningful margin, banks don't trust each other's collateral or solvency — liquidity is drying up. This is the first place you see smoke when a banking crisis is brewing. Interbank funding stress preceded Bear Stearns, the 2019 repo seizure, and SVB. • Warning: spread ≥ 0.05 | Danger: spread ≥ 0.10 | Weight: 0.75x Signal 8: Real Yields — 10Y TIPS Rate (FRED:DFII10) Addresses a blind spot in Signal 1: nominal yields can rise because the economy is booming (benign) or because of a confidence crisis (dangerous). Real yields strip out inflation expectations to reveal the true cost of money. When the 10Y real yield spikes above 2.0%, money is objectively too expensive — it acts as a valuation vacuum sucking capital out of equities. Real yields surged above 2.5% during the 2022 bear market, which was driven primarily by rising real rates rather than credit stress. • Warning: ≥ 1.5% | Danger: ≥ 2.0% | Weight: 0.75x Signal 9: Confluence Detector (Calculated from Signals 1–8) The "super signal." It counts how many of Signals 1–8 are simultaneously at DANGER level. Individual danger signals are concerning — multiple danger signals firing at the same time is a high-probability crash signal. When 3+ independent stress indicators converge, this is no longer a Warning — it's a Crash Imminent signal. Weighted at 1.0x (full Primary weight) because multi-signal convergence is the strongest predictor of systemic failure. • Warning: 2+ signals at Danger | Danger: 3+ signals at Danger | Weight: 1.0x ═══════════════════════════════════════════════════════════════════════ █ DEFCON SCORING SYSTEM Each signal contributes to a weighted composite threat score: • Normal = 0 points | Warning = 1 point | Danger = 2 points • Points are multiplied by the signal's weight (Primary 1.0x, Secondary 0.5x, Institutional 0.75x, Confluence 1.0x) • The raw score is normalised to a 0–100% threat percentage against the theoretical maximum The threat percentage maps to DEFCON levels: • DEFCON 5 — NORMAL (green): Threat < 15%. No significant stress detected. • DEFCON 4 — GUARDED (amber): Threat 15–35%. Early warnings appearing. Increase vigilance. • DEFCON 3 — ELEVATED (orange): Threat 35–55%. Multiple warnings or initial danger signals. Consider hedging. • DEFCON 2 — SEVERE (red-orange): Threat 55–75%. Multiple danger signals active. Defensive positioning recommended. • DEFCON 1 — CRITICAL (red): Threat ≥ 75%. Systemic crisis conditions across multiple signals. Maximum defence. The dashboard header displays a DEFCON Duration counter showing how many bars the current level has been maintained — a fresh escalation (Duration: 1) demands immediate attention, while a long-standing level is an established condition. All weights are adjustable. Set any weight to 0 to effectively disable a signal from the DEFCON calculation. ═══════════════════════════════════════════════════════════════════════ █ LIQUIDITY DASHBOARD Below the nine scored signals, the dashboard tracks Fed system liquidity in real time: • Fed Balance Sheet (FRED:WALCL) — Total Fed assets. Quantitative Tightening (QT) shrinks this. • Treasury General Account (FRED:WTREGEN) — The government's checking account. When it drains, money enters the financial system as a liquidity injection. When it refills (via Treasury issuance), it pulls liquidity out. • Reverse Repo Facility (FRED:RRPONTSYD) — Overnight cash parked at the Fed. Near zero means this buffer is exhausted. • Net Liquidity = WALCL − TGA − RRP — The effective liquidity available to financial markets. Displayed with week-over-week direction (▲/▼). These are contextual metrics — they don't feed into the DEFCON score directly, but they show whether the financial system has the capacity to absorb stress or whether tightening conditions will amplify it into something systemic. ═══════════════════════════════════════════════════════════════════════ █ DASHBOARD LAYOUT The on-chart dashboard uses a four-column layout: • SIGNAL — Name of each signal or metric • VALUE — Current reading with contextual detail (days count, drawdown, curve state, spike flags) • THRESHOLDS — Warning and Danger levels displayed in a dedicated column • STATUS — Traffic-light indicator: green NORMAL, amber WARNING, red DANGER Signals are grouped into five sections: Primary (Wt: 1.0), Secondary (Wt: 0.5), Institutional (Wt: 0.75/1.0), Liquidity Metrics (context), and a Score Breakdown footer showing weighted contributions by tier (P | S | I). ═══════════════════════════════════════════════════════════════════════ █ HOW TO USE Setup: • Apply to any chart on a daily timeframe — the indicator pulls all data via request.security() from external symbols, so it works on any underlying chart. • FRED data (WALCL, TGA) updates weekly and fill-forwards on daily bars. OAS, SOFR, IORB, DFII10, and RRP update daily. • Position the dashboard via Display Options (left/right, top/middle/bottom, text size). Monitoring: • At a glance: check the DEFCON level, threat percentage, and duration in the header. • Watch the Confluence Detector (Signal 9) — if it moves to Warning (2+ dangers) or Danger (3+ dangers), that is the single most actionable reading in the dashboard. • Check Bank Funding Stress (Signal 7) — it's a leading indicator. If SOFR-IORB is at Warning while other signals are still Normal, pay attention. • Use Real Yields (Signal 8) alongside Signal 1 to distinguish between benign and dangerous yield environments. • The purple Threat Score line shows the continuous threat gradient over time, revealing gradual deterioration within a DEFCON level. Alerts: The indicator includes 23 pre-built alert conditions: • Individual Warning and Danger alerts for all 9 signals • VIX Spike (50%+ in 5 bars) and DXY Surge (5%+ in 20 bars) event alerts • Confluence CRASH IMMINENT alert (3+ signals at Danger simultaneously) • DEFCON escalation alert (crosses into SEVERE/CRITICAL territory) • DEFCON 1 alert (threat ≥ 75%) • DEFCON de-escalation alert (threat level improving from elevated) Set these up in TradingView's alert manager to receive notifications via app, email, or webhook without needing to watch the chart. ═══════════════════════════════════════════════════════════════════════ █ SETTINGS OVERVIEW The indicator's 40 settings are organised into seven groups: • Primary Signals — Danger thresholds, X-of-Y sustained days parameters, and KRE peak lookback. • Secondary Signals — Danger thresholds for VIX (with X-of-Y logic), Yield Curve (including rapid normalisation speed and recently un-inverted lookback), and DXY (two-sided thresholds). • Institutional Signals — Bank Funding Stress (SOFR-IORB) warning/danger spread levels, Real Yield warning/danger thresholds, and Confluence Detector thresholds for how many simultaneous dangers trigger warning/danger. • Early Warning Levels — Amber warning thresholds for all Primary and Secondary signals. • Signal Weights — Adjust the relative importance of each signal in the DEFCON composite. Set a weight to 0 to disable a signal. • Display Options — Dashboard positioning, text size, and threat score plot toggle. Every setting has a detailed tooltip explaining what it controls, why it matters, and what the default represents. ═══════════════════════════════════════════════════════════════════════ █ DATA SOURCES 12 external data feeds (well within TradingView's 40-call limit): • TVC:US10Y — 10-Year US Treasury Yield (daily) • TVC:US02Y — 2-Year US Treasury Yield (daily) • AMEX:KRE — SPDR S&P Regional Banking ETF (daily) • FRED:BAMLH0A0HYM2 — ICE BofA US High Yield Index OAS (daily) • CBOE:VIX — CBOE Volatility Index (daily) • TVC:DXY — US Dollar Index (daily) • FRED:SOFR — Secured Overnight Financing Rate (daily) • FRED:IORB — Interest on Reserve Balances (daily) • FRED:DFII10 — 10-Year Real Treasury Rate / TIPS yield (daily, ~2-day lag) • FRED:WALCL — Fed Total Assets / Balance Sheet (weekly) • FRED:WTREGEN — Treasury General Account (weekly) • FRED:RRPONTSYD — Overnight Reverse Repurchase Agreements (daily) ═══════════════════════════════════════════════════════════════════════ █ LIMITATIONS • Best used on a daily timeframe . FRED data updates daily or weekly, so intraday resolution adds no information. • FRED data has publication delays (1–2 days for daily series, up to a week for weekly). The dashboard shows the most recent available data. • FRED:DFII10 (Real Yields) data begins in 2003 and has a ~2-day lag. For near-real-time real yields, compare TVC:US10Y minus FRED:T10YIE on a separate chart. • FRED:SOFR and FRED:IORB data begins in mid-2018 (post-LIBOR transition). The SOFR-IORB spread cannot be evaluated before that date. • The KRE drawdown uses a rolling peak that shifts forward in prolonged downtrends. Consider increasing the lookback to 504 (2 years) in sustained bear markets. • The Confluence Detector counts signals at Danger only — not Warnings — ensuring it fires only on confirmed, high-conviction stress. • This is a monitoring and alerting tool — it identifies conditions historically associated with systemic stress. It does not predict with certainty that a crash will occur, and past patterns do not guarantee future outcomes. • This indicator is not financial advice. It is an analytical tool for educational and informational purposes. Always do your own research and consult qualified professionals before making investment decisions. ═══════════════════════════════════════════════════════════════════════ █ NOTES • The DEFCON scoring thresholds (75%, 55%, 35%, 15%) were calibrated by mapping how many simultaneous danger/warning signals were active during prior crisis periods (2008, 2020, 2022, 2023 SVB). They can be indirectly adjusted by changing signal weights. • The sustained-days confirmation for 10Y yield and VIX uses "X of last Y days" logic rather than strictly consecutive days, preventing resets from single-day threshold dips. • The yield curve tracks four states: inverted, deep inversion, rapid normalisation, and recently un-inverted. The "recently un-inverted" state (default 60 bars) closes a blind spot where slow normalisation still carries recession risk. • The DXY signal is intentionally two-sided because dollar crises can manifest as either extreme strength (global liquidity crunch) or extreme weakness (loss of confidence). • Bank Funding Stress (SOFR-IORB) is weighted at 0.75x because while it's an excellent leading indicator, the spread can occasionally spike from technical factors (quarter-end window dressing, Treasury settlement) rather than systemic stress. • Real Yields (DFII10) solve the ambiguity in nominal yields by stripping out inflation expectations. A 10Y yield of 5% with 3% inflation (2% real) is more restrictive than 5% with 1% inflation (4% real) — and this signal captures that distinction. • The Confluence Detector at 1.0x weight reflects the principle that convergence of independent stress indicators is the single most reliable predictor of systemic crisis — more reliable than any individual signal alone.
Pine Script® indicator
by d_day_80
Multi-Timeframe Market Structure ToolkitOverview This script integrates higher timeframe structure analysis with displacement detection, liquidity mapping, and imbalance identification to provide contextual bias and execution alignment. The components are designed to work together by: • Establishing higher timeframe directional context • Detecting structural shifts within that context • Highlighting liquidity sweeps and imbalances • Projecting probabilistic expansion targets 📈 Higher Timeframe (HTF) Structure The script overlays four higher timeframe candles (C1–C4) onto the current chart. Purpose: • Visualize expansion vs compression phases • Identify liquidity sweeps between HTF candles • Define premium/discount zones using C3 equilibrium (50% level) Default HTF alignment: 1m → 15m 5m → 1H 15m → 4H 1H → 1D This structure keeps directional bias higher than execution timeframe. 🔄 CSID – Change in State of Delivery CSID is defined as: • Break of a prior swing high/low • Followed by displacement candle • Body size exceeding recent average range • Momentum shift relative to prior structure This event suggests potential transition from consolidation to expansion. CSID is used to: • Trigger deviation projections • Validate structural continuation • Align with HTF bias 📉 Standard Deviation Projections Following a CSID event, projected levels are calculated using deviation from the displacement origin. Levels available: -1 -2 -2.5 -4 These represent potential expansion zones rather than guaranteed targets. 💧 Liquidity Sweep Detection The script identifies HTF sweep relationships: • C4 taking C3 high/low • C3 taking C2 • C2 taking C1 This visualizes liquidity engineering across higher timeframe structure. Liquidity levels are removed once swept. 📦 Fair Value Gap (HTF Imbalance) Imbalance is defined as a three-candle inefficiency: Bullish: Low (3rd candle) > High (1st candle) Bearish: High (3rd candle) < Low (1st candle) Detected across: • C1–C3 • C2–C4 Unfilled zones remain visible as potential rebalancing areas. 🔍 SMT Divergence SMT compares correlated instruments to identify structural divergence. Method: • Compare relative swing highs/lows • Detect mismatch in continuation Predefined correlations include: NQ / ES Gold / Silver EUR / GBP BTC / ETH Manual selection available. 📊 Multi-Timeframe Trend Table Trend classification is based on: • Higher highs & higher lows → Bullish • Lower highs & lower lows → Bearish Displayed for: 1m, 5m, 15m, 1H, 4H, 1D Intended Use Designed for traders who: • Use market structure concepts • Align entries with higher timeframe bias • Monitor liquidity and imbalance • Trade futures, forex, crypto, or indices Notes This script is a structural analysis tool. It does not provide trade recommendations or financial advice.
Pine Script® indicator
by NICkBB
Fourier Series Model of the Market v2In the FSMM script the scaling of the harmonics is with the base frequency. Although this may help to visualize the harmonics, in a mathematically correct manner quadrature scaling is by the harmonics frequencies. As the derivative is numerical, the difference is not always noticed, but to include it makes sense, also when the purpose is to visualize the short underlying trend of Hurst, which is the base plus the 2nd and 4th harmonic. The 3rd harmonic then serves as a diagnostic marker, if the M-shape does not appear properly then there may be a contribution from the 3rd harmonics. Typical setting is 55 for intruments that trade 5 days a week and 82 for 7 days a week (Crypto) Enjoy!
Pine Script® indicator
by huub_j_m_degroot
High Timeframe 3D══════════════════════════════════ 🔷 High Timeframe 3D 🔷 ══════════════════════════════════ High Timeframe 3D is a visual overlay indicator that renders higher timeframe candles in a 3D projection style directly on your chart. This tool enhances multi-timeframe analysis by displaying selected higher timeframe (HTF) candles as forward-projected 3D objects, allowing traders to visually compare current price action with broader market structure. ━━━━━━━━━━━ 🔹 CORE FEATURES 🔹 ━━━━━━━━━━━ ▪ 🧊 3D projected higher timeframe candles ▪ 🎨 Multiple customizable color schemes ▪ ⚙ Adjustable depth and projection parameters ▪ 🧱 Configurable border styling ▪ ⏳ Optional countdown timer for selected timeframe ▪ 📊 Compact info panel with live progress bar ━━━━━━━━━━━ 🕒 MULTI-TIMEFRAME VISUALIZATION 🕒 ━━━━━━━━━━━ Available timeframe selection: ▪ 5m ▪ 15m ▪ 30m ▪ 1H ▪ 4H ▪ 1D The script retrieves higher timeframe OHLC data and renders up to nine recent candles using a 3D box-style projection with depth offset on both X (bars) and Y (price percentage). This allows traders to interpret higher timeframe structure while staying on a lower timeframe chart. ━━━━━━━━━━━ 🎨 CUSTOMIZATION OPTIONS 🎨 ━━━━━━━━━━━ Available color schemes: ▪ Green / Red Classic ▪ Blue / Orange ▪ Purple / Yellow ▪ Cyan / Magenta ▪ Mint / Coral ▪ Gold / Navy ▪ Emerald / Ruby ▪ Ocean / Sunset Adjustable settings include: ▪ Depth X offset (horizontal projection) ▪ Depth Y percentage (vertical projection) ▪ Side darkness (3D shading intensity) ▪ Border color and width ▪ Toggle visibility of 3D candles ▪ Info panel position ━━━━━━━━━━━ ⏳ COUNTDOWN & PROGRESS PANEL ⏳ ━━━━━━━━━━━ The optional information panel displays: ▪ Selected timeframe ▪ Remaining time until candle close ▪ Live progress percentage ▪ Visual progress bar This feature helps users monitor higher timeframe candle development in real time. ━━━━━━━━━━━ ⚠ IMPORTANT NOTICE ⚠ ━━━━━━━━━━━ This indicator is provided for visual and analytical purposes only. It does not provide financial advice and does not guarantee trading performance or outcomes. All calculations are based on available chart data and selected timeframe inputs. Users should apply independent analysis and proper risk management when making trading decisions. ══════════════════════════════════
Pine Script® indicator
by mooniexofficials
BTC Cycle Composite IndicatorBTC Cycle Composite Indicator: A Multi-Factor Approach to Identifying Market Tops and Bottoms Introduction The Bitcoin market is characterized by distinct four-year cycles driven by halving events, yet accurately pinpointing cycle tops and bottoms remains a challenge even for experienced traders. Single indicators often generate false signals or lag significantly. The BTC Cycle Composite Indicator addresses this by integrating multiple proven on-chain metrics, technical analysis tools, and cycle-based models into a single coherent framework. Its goal is to provide traders with a probabilistic risk score that highlights periods of extreme overvaluation (potential tops) and undervaluation (potential bottoms), while filtering out noise through advanced confirmation mechanisms. Core Design Philosophy The indicator is built on a multi-factor voting system. Instead of relying on any single metric, it aggregates signals from a diverse set of independent indicators that capture different aspects of market behavior: On-chain valuation (MVRV Z-Score, Puell Multiple, CVDD, NUPL) reflects the positioning of long-term holders and miners. Technical momentum (Pi Cycle Oscillator, RSI, price deviation from moving averages) identifies price extremes. Cycle timing (halving progress, post-halving windows) anchors the analysis within the historical rhythm of Bitcoin. Market structure (Power Law channel, V/T Ratio, 15% rule) adds context about the broader macro trend. Each indicator contributes to a risk score (0–100), and only when a sufficient number of them align—and additional filters (trend, volatility, signal spacing) are satisfied—does the indicator generate a clear visual signal. Detailed Component Breakdown 1. On-Chain Metrics (Simulated for Demonstration) MVRV Z-Score: Compares market value to realized value, normalized by standard deviation. Historically, values above 7 have marked major tops, while values near 0.1 have indicated bottoms. The indicator can also use a dynamic 6‑month rolling Z‑score to adapt to changing market structure. Puell Multiple: Measures miner revenue relative to its 365‑day moving average. Extremely high values (>3.33) suggest miner over‑profitability and potential selling pressure; very low values (<0.5) signal miner capitulation and bottoms. CVDD (Cumulative Value Coin Days Destroyed): A bottom‑capture metric that tracks the dollar value of coin‑days destroyed. When price falls below the CVDD extension line, it historically marked strong accumulation zones. NUPL (Net Unrealized Profit/Loss): Gauges the aggregate profit/loss status of the market. NUPL > 0.75 corresponds to extreme greed (euphoria), while negative values indicate fear. 2. Technical Indicators Pi Cycle Oscillator: Unlike the classic Pi Cycle Top indicator that waits for a 111 SMA / 350 SMA×2 cross, this oscillator measures the percentage distance between the two moving averages. When this value exceeds a user‑defined threshold (e.g., 80%), it serves as an early warning of an overheated market. Price Deviation from 200‑day SMA: A simple yet powerful mean‑reversion tool. Deviations above +50% have historically coincided with tops, while deviations below -20% align with bottoms. RSI (14): Standard overbought/oversold levels (70/30) are used, but they are only considered in conjunction with other factors. V/T Ratio: Compares on‑chain transaction value to token velocity; extreme deviations from its moving average can signal turning points. 3. Cycle and Structural Factors Halving Progress: The indicator calculates the exact position between two consecutive halvings. Four color‑coded phases (green, lime, yellow, red) visually represent the typical market sentiment progression. Top/Bottom Windows: Historical data shows that cycle tops often occur 528–548 days after a halving, while bottoms tend to form within the first 200 days. These windows are used as soft filters. Power Law Channel Position: Based on the long‑term power law regression, prices near the upper band (>80th percentile) are considered overextended, while those near the lower band (<20th percentile) are undervalued. 15% Rule (optional): When price drops more than 15% from its 500‑day high after a series of strong bullish candles, it may indicate distribution by smart money—a supplementary top confirmation. 4. Altcoin Season Signals Bitcoin dominance (BTC.D) is monitored for sharp moves. A decline of more than 2% over 14 days suggests capital rotation into altcoins, while a rise of more than 2% indicates Bitcoin strength. These raw signals are further validated by: Price position relative to 200‑day SMA. RSI entering oversold (for alt‑season) or overbought (for BTC‑season) territory. Volume spikes (above 1.5× the 20‑day average). Candlestick patterns (hammer/bullish engulfing for buys; shooting star/bearish engulfing for sells). How the Components Work Together The indicator does not simply flash a signal when any one metric triggers. Instead, it employs a multi‑stage aggregation and filtering process: Risk Score Calculation Each of the ten top‑oriented and eight bottom‑oriented indicators votes independently. The percentage of active indicators forms the raw risk score (e.g., 7 out of 10 = 70% top risk). Weighted Adjustment (Optional) Because some indicators are more predictive during specific cycle phases, the indicator can apply dynamic weights. For example, Pi Cycle and MVRV receive higher weights in the late halving phase (red zone), while Puell and CVDD are emphasized in the early phase (green zone). Multi‑Stage Filtering Trend Filter: Signals are only considered if they align with the primary trend (price above/below 200‑day SMA). Volatility Filter: Using ATR, signals are discarded during low‑volatility consolidation unless volatility exceeds 1.2× its 20‑day average. Momentum Filter: Requires the short‑term moving average to be sloping in the direction of the signal (e.g., for a top signal, price should be above its 20‑day MA and the MA should be rising). Signal Suppression: After a signal is generated, no further signals of the same type are allowed for a user‑defined number of bars (default 20) to prevent clustering. Confirmation Bars: A signal must persist for a minimum number of consecutive bars (default 2) before being displayed. Visual Output Colored Background: The chart background gradually shifts from green (early accumulation) to red (late distribution) based on halving progress, providing an intuitive sense of cycle phase. Halving Markers: Blue vertical lines and labels mark each halving date. Cycle Top/Bottom Labels: When all filters are satisfied, a red “Cycle Top” label appears above the bar (with the current risk score), and a blue “Cycle Bottom” label appears below. Arrow Signals: Small red downward arrows (⬇️TOP) and green upward arrows (⬆️BOT) are plotted on every qualifying bar for easy spotting. Buy/Sell Signals: For altcoin‑season entries, tiny green “🪙 BUY” triangles at the bottom and orange “₿ SELL” triangles at the top are displayed. Risk Score Panel: A table in the bottom‑right corner shows the current top/bottom risk percentages and the number of triggered indicators, updated in real time. Practical Usage Recommended Settings Timeframe: Daily or weekly charts work best, as the underlying metrics are designed for medium‑ to long‑term cycles. Parameters: Most thresholds (e.g., MVRV levels, Pi Cycle oscillator threshold, minimum risk score) are adjustable. Beginners can keep the defaults; advanced users may fine‑tune based on backtesting. On‑Chain Data Source: The indicator currently uses simulated MVRV, Puell, etc., for demonstration. For live trading, replace these with real data sources such as CRYPTOCAP:BTC.MVRV or subscribe to a reliable on‑chain data provider. Interpretation A top risk score above 60 accompanied by a red background and a “Cycle Top” label suggests that multiple independent metrics are flashing warning signs. This is a signal to consider taking profits or tightening stops. A bottom risk score above 60 in the green zone with a “Cycle Bottom” label indicates a historically favorable accumulation area. The BUY/SELL signals are more tactical and may appear more frequently; they should be used in conjunction with the broader cycle context. Limitations and Disclaimer No indicator is infallible. The BTC Cycle Composite Indicator is a tool for probability assessment, not a crystal ball. Past performance does not guarantee future results. Users should always combine it with fundamental analysis, order book data, and proper risk management. The indicator’s parameters may need periodic adjustment as market dynamics evolve (e.g., the Pi Cycle oscillator threshold may drift over time). Originality and Innovation While the individual indicators are well‑known, their combination and the filtering logic are original: Dynamic weighting based on halving progress adapts the model to different cycle phases. Multi‑timeframe confirmation (optional weekly RSI check) adds an extra layer of robustness. 15% rule provides a unique structural filter for top detection. Signal suppression and momentum filters drastically reduce false positives compared to a simple “majority vote” approach. The risk score panel gives users immediate insight into the internal state of the model, fostering transparency. Conclusion The BTC Cycle Composite Indicator is designed for traders who want a comprehensive, data‑driven view of Bitcoin’s cyclical extremes. By aggregating diverse metrics and applying rigorous filtering, it aims to highlight high‑probability turning points while minimizing noise. Whether you are a long‑term investor seeking accumulation zones or a swing trader looking for trend shifts, this indicator offers a structured way to interpret the complex interplay of on‑chain, technical, and cyclical forces that drive Bitcoin’s market cycles.
Pine Script® indicator
by neeson1987
1HR Proximity Level Detection ( Al Brooks Concept)Hourly Auto level. Key Features 1H Sequence Tracking: * Support: Automatically marks the Open of the first green 1H candle in a new sequence. Resistance: Marks the Open of the first red 1H candle following a bullish run. Gap Level Intelligence: Includes a "Gap Rule" that identifies body gaps between hourly candles and marks levels on both sides of the vacuum. Smart Deletion (The Kill Switch): Levels are not permanent. They are automatically removed based on your choice of: Close Through: Level is removed if a candle closes past it. Body Cross: Level is removed if a candle body overlaps the line. Institutional Fallback: If the price enters a "void" (no active levels nearby), the script scans 300+ bars of history to find the most significant un-breached historical level to display. Multi-Timeframe Sync: Using xloc.bar_time, these levels stay locked to the exact 1-hour price regardless of whether you are viewing the 1-minute or 5-minute chart. Fully Configurable: Customize colors, line styles (Solid/Dashed/Dotted), and extension settings (Left/Right/Both) to keep your chart clean. How to Use Preparation: The script identifies levels on the 1H timeframe but is best used for entries on the 5m chart. The Signal: Wait for price to approach the yellow level. Look for an Al Brooks signal bar (Reversal Bar, Engulfing, or High/Low 2 setup). Clean Charts: Because the script deletes levels once they are breached, you only ever see the "Fresh" levels that the market is currently respecting.
Pine Script® indicator
by SoulVouge
ICT Time-based Liquidity SessionsThis indicator plots the three primary index futures sessions (Asia, London, New York) using fixed Eastern Time windows to help traders visually track where liquidity is most likely to build and be attacked. The goal is not to mark exchange business hours, but to highlight behavioral time blocks where sweeps, displacement, and HTF inefficiency reactions statistically occur more often. Session Windows (ET): Asia: 18:00 – 03:00 Range construction, slower movement, sets highs/lows often targeted later. London: 03:00 – 12:00 Increased volatility, frequent raids on Asia range, early displacement. New York AM: 09:30 – 12:00 Highest probability window for liquidity sweeps, HTF FVG reactions, and expansion. New York PM: 12:00 – 16:00 Secondary continuation or controlled reversals, generally lower volatility than AM. Purpose Visualize session ranges and transitions. Identify likely sweep zones (Asia High/Low, London High/Low). Align entries with time-of-day confluence instead of price alone. Reduce noise by keeping session boxes clean while mentally noting overlaps (especially London–NY). Use Case Designed for equity index futures (NQ, ES, YM). Best paired with liquidity levels, HTF inefficiencies, and displacement/FVG models to improve timing and context rather than act as a standalone signal.
Pine Script® indicator
by joshteal70
ICT Time-based Liquidity SessionsThis indicator plots the three primary index futures sessions (Asia, London, New York) using fixed Eastern Time windows to help traders visually track where liquidity is most likely to build and be attacked. The goal is not to mark exchange business hours, but to highlight behavioral time blocks where sweeps, displacement, and HTF inefficiency reactions statistically occur more often. Session Windows (ET): Asia: 18:00 – 03:00 Range construction, slower movement, sets highs/lows often targeted later. London: 03:00 – 12:00 Increased volatility, frequent raids on Asia range, early displacement. New York AM: 09:30 – 12:00 Highest probability window for liquidity sweeps, HTF FVG reactions, and expansion. New York PM: 12:00 – 16:00 Secondary continuation or controlled reversals, generally lower volatility than AM. Purpose Visualize session ranges and transitions. Identify likely sweep zones (Asia High/Low, London High/Low). Align entries with time-of-day confluence instead of price alone. Reduce noise by keeping session boxes clean while mentally noting overlaps (especially London–NY). Use Case Designed for equity index futures (NQ, ES, YM). Best paired with liquidity levels, HTF inefficiencies, and displacement/FVG models to improve timing and context rather than act as a standalone signal.
Pine Script® indicator
by joshteal70
Dow Theory AI v1.0 This indicator integrates **AI-driven Dow Theory trend analysis** with an **EMA-based environmental recognition system**. * **Dow Theory (Main):** Automatically adjusts swing detection based on volatility (ATR), visualizing market structure with HH/LL labels, trend lines, and an AI Trend Score (0-100). * **EMA Background (Add-on):** Visually indicates trend strength by changing background colors based on the price's position relative to three EMAs (Short/Mid/Long). This feature can be **toggled ON/OFF** via the "📉 EMA Background Settings" checkbox.
Pine Script® indicator
by chamocona7
ORB StrategyOpening Range Break Strategy. It works, sometimes. Stop loss to break even is not currently working, dont rely on that. To be honest in backtesting, it hurt more than it helped. The ORB strategy has been around for a long time; it has ebbs and flows on when it is working. You'll know that it's currently working because your Youtube feed will be full of videos for it. Native Quantlynk and Ghost integration using {{strategy.order.alert_message}} NOT FINANCIAL ADVICE. NO GUARANTEES OF ANY KIND.
Pine Script® strategy
by greatestNothing
Harmonic Confluence Wave Detector [JOAT]Harmonic Confluence Wave Detector Introduction The Harmonic Confluence Wave Detector is an open-source oscillator-based indicator that combines WaveTrend, Money Flow Index (MFI), RSI, MACD, and Stochastic RSI into a unified momentum analysis system. This mashup creates a multi-layered oscillator framework designed to identify momentum shifts, overbought/oversold conditions, and divergence patterns across multiple timeframes and calculation methods. The indicator addresses a common trading challenge: single oscillators can give conflicting or premature signals. By synthesizing five different momentum calculations that use distinct mathematical approaches, this tool provides confluence-based signals that occur when multiple momentum indicators align, significantly reducing false signals compared to using any single oscillator alone. Chart showing WaveTrend oscillator, MACD histogram, and multi-signal system on 1H timeframe Why This Mashup Exists This indicator combines five oscillators that complement each other through different calculation methodologies: WaveTrend: Smoothed momentum oscillator based on price deviation from exponential moving average Money Flow Index (MFI): Volume-weighted RSI showing buying/selling pressure RSI: Classic momentum oscillator measuring speed and magnitude of price changes MACD: Trend-following momentum indicator showing relationship between two EMAs Stochastic RSI: Stochastic calculation applied to RSI for enhanced sensitivity Each oscillator has unique strengths: WaveTrend excels at identifying wave-like momentum cycles, MFI incorporates volume for institutional flow analysis, RSI provides reliable overbought/oversold readings, MACD shows trend strength and direction, and Stochastic RSI catches early momentum shifts. Together, they create a comprehensive momentum picture that no single oscillator can provide. The mashup is justified because these oscillators use fundamentally different calculations (price-based, volume-weighted, moving average convergence, stochastic) that respond to different market conditions. When they align, it indicates genuine momentum shift rather than noise. Core Components Explained 1. WaveTrend Oscillator (Primary Signal Generator) WaveTrend is the primary oscillator, calculated using this methodology: // Calculate exponential average of HLC3 esa = ta.ema(hlc3, channelLength) // Calculate deviation d = ta.ema(abs(hlc3 - esa), channelLength) // Calculate channel index ci = (hlc3 - esa) / (0.015 * d) // Apply smoothing to create WaveTrend 1 wt1 = ta.ema(ci, averageLength) // Create WaveTrend 2 as simple moving average of WT1 wt2 = ta.sma(wt1, 4) WaveTrend oscillates around zero, with: Values above +60: Overbought zone Values above +80: Extreme overbought Values below -60: Oversold zone Values below -80: Extreme oversold Crossovers between WT1 and WT2: Momentum shift signals The indicator plots WT1 and WT2 as lines with dynamic coloring based on momentum direction and strength. 2. Money Flow Index (MFI) - Volume-Weighted Momentum MFI calculation incorporates both price and volume: // Calculate typical price typicalPrice = (high + low + close) / 3 // Calculate raw money flow rawMoneyFlow = typicalPrice * volume // Separate positive and negative money flow positiveFlow = close > close ? rawMoneyFlow : 0 negativeFlow = close < close ? rawMoneyFlow : 0 // Sum over MFI period positiveSum = sum(positiveFlow, mfiLength) negativeSum = sum(negativeFlow, mfiLength) // Calculate MFI mfi = 100 - (100 / (1 + positiveSum / negativeSum)) MFI ranges from 0-100, with readings above 80 indicating buying pressure and below 20 indicating selling pressure. The indicator plots MFI as a line and uses it for confluence scoring. 3. RSI - Classic Momentum Oscillator Standard RSI calculation over 14 periods (configurable): RSI > 70: Overbought RSI < 30: Oversold RSI > 65 with other bearish signals: Potential reversal RSI < 35 with other bullish signals: Potential reversal RSI provides reliable baseline momentum readings and is used for divergence detection. 4. MACD - Trend Momentum Indicator MACD uses standard 12/26/9 settings: = ta.macd(close, 12, 26, 9) The indicator displays MACD histogram with enhanced width (linewidth 8) for visibility. Histogram color changes based on: Green: Positive and increasing (bullish momentum) Light green: Positive but decreasing (weakening bulls) Red: Negative and decreasing (bearish momentum) Light red: Negative but increasing (weakening bears) MACD histogram provides visual confirmation of momentum strength and direction. 5. Stochastic RSI - Enhanced Sensitivity Stochastic calculation applied to RSI values: stochRSI = ta.stoch(rsi, rsi, rsi, 14) Stochastic RSI oscillates between 0-100 and is more sensitive than regular RSI, catching momentum shifts earlier. The indicator plots both K and D lines for crossover analysis. Example showing all oscillators with divergence markers and signal labels Multi-Signal System The indicator generates six tiers of signals based on confluence strength: BUY Signals: BUY: WT1 crosses above WT2 in oversold zone (WT1 < -40) STRONG BUY: BUY + volume above average + MACD histogram positive MEGA BUY: STRONG BUY + WT1 < -60 (extreme oversold) + RSI < 35 ULTRA BUY: MEGA BUY + MFI < 30 + Stoch RSI oversold + bullish divergence SELL Signals: SELL: WT1 crosses below WT2 in overbought zone (WT1 > 40) STRONG SELL: SELL + volume above average + MACD histogram negative MEGA SELL: STRONG SELL + WT1 > 60 (extreme overbought) + RSI > 65 ULTRA SELL: MEGA SELL + MFI > 70 + Stoch RSI overbought + bearish divergence Signal labels appear on chart with size proportional to signal strength (tiny for BUY/SELL, normal for ULTRA). Divergence Detection System The indicator detects divergences across multiple oscillators: RSI Divergence: Bullish: Price makes lower low, RSI makes higher low Bearish: Price makes higher high, RSI makes lower high WaveTrend Divergence: Bullish: Price makes lower low, WT1 makes higher low Bearish: Price makes higher high, WT1 makes lower high MACD Divergence: Bullish: Price makes lower low, MACD histogram makes higher low Bearish: Price makes higher high, MACD histogram makes lower high Divergences are marked with bright orange/yellow "D" labels (color.rgb(255, 200, 0)) with black text for maximum visibility. When multiple oscillators show divergence simultaneously, it signals strong momentum exhaustion and potential reversal. Confluence Scoring System The indicator calculates a real-time confluence score (0-100) by evaluating: Confluence Components: - WaveTrend Position: Up to 25 points (extreme zones add more weight) - WaveTrend Momentum: Up to 15 points (WT1-WT2 relationship) - RSI Level: Up to 15 points (extreme readings add weight) - MFI Level: Up to 15 points (volume pressure confirmation) - MACD Histogram: Up to 15 points (trend momentum) - Stochastic RSI: Up to 10 points (early momentum detection) - Divergence Presence: Up to 5 points (any divergence detected) The dashboard displays the current confluence score with color coding: Green (80-100): Strong bullish confluence Light green (60-79): Moderate bullish confluence Yellow (40-59): Neutral/mixed signals Light red (20-39): Moderate bearish confluence Red (0-19): Strong bearish confluence Visual Elements WaveTrend Lines: WT1 (blue) and WT2 (orange) with dynamic coloring Overbought/Oversold Zones: Horizontal lines at +60/-60 and +80/-80 Zero Line: Reference line at 0 MACD Histogram: Large bars (linewidth 8) with gradient coloring MFI Line: Purple line showing volume-weighted momentum RSI Line: Green line with overbought/oversold reference levels Stochastic RSI: K (blue) and D (red) lines Signal Labels: BUY/SELL markers with size based on signal strength Divergence Labels: Bright orange "D" markers at divergence points Dashboard: Top-right table showing confluence score and oscillator readings Chart demonstrating signal hierarchy from BUY to ULTRA BUY with divergence markers How Components Work Together The mashup creates a layered momentum analysis: Layer 1 - Primary Momentum: WaveTrend identifies wave cycles and crossover signals Layer 2 - Volume Confirmation: MFI validates moves with volume-weighted pressure Layer 3 - Baseline Momentum: RSI provides reliable overbought/oversold context Layer 4 - Trend Strength: MACD histogram shows underlying trend momentum Layer 5 - Early Detection: Stochastic RSI catches momentum shifts before other oscillators Layer 6 - Exhaustion Signals: Divergences across oscillators indicate momentum exhaustion Example scenario: WT1 crosses above WT2 in oversold zone (Layer 1), MFI shows buying pressure increasing (Layer 2), RSI is below 35 (Layer 3), MACD histogram turns positive (Layer 4), Stochastic RSI crosses up (Layer 5), and RSI shows bullish divergence (Layer 6). This generates an ULTRA BUY signal with 90+ confluence score. Input Parameters WaveTrend Settings: Channel Length: Period for EMA calculation (default: 10) Average Length: Smoothing period for WT1 (default: 21) Overbought Level: Upper threshold (default: 60) Oversold Level: Lower threshold (default: -60) Extreme OB Level: Extreme upper threshold (default: 80) Extreme OS Level: Extreme lower threshold (default: -80) Oscillator Settings: RSI Length: Period for RSI calculation (default: 14) MFI Length: Period for MFI calculation (default: 14) MACD Fast: Fast EMA period (default: 12) MACD Slow: Slow EMA period (default: 26) MACD Signal: Signal line period (default: 9) Stochastic RSI Length: Period for Stoch RSI (default: 14) Signal Settings: Show Signals: Toggle signal labels (default: enabled) Show Divergences: Toggle divergence markers (default: enabled) Volume Confirmation: Require volume for STRONG signals (default: enabled) Min Confluence for Signals: Minimum score to display signals (default: 60) Display Options: Show Dashboard: Toggle confluence score table (default: enabled) Show MACD Histogram: Toggle MACD display (default: enabled) Show MFI Line: Toggle MFI display (default: enabled) Show RSI Line: Toggle RSI display (default: enabled) Show Stochastic RSI: Toggle Stoch RSI display (default: enabled) Color Theme: Choose between multiple color schemes How to Use This Indicator Step 1: Monitor WaveTrend Oscillator Watch for WT1/WT2 crossovers in extreme zones. Crossovers in oversold zone (< -60) suggest bullish reversals, crossovers in overbought zone (> 60) suggest bearish reversals. Step 2: Check Confluence Score Review the dashboard. Scores above 70 indicate strong momentum alignment. Higher scores generally produce more reliable signals. Step 3: Identify Signal Strength Pay attention to signal labels. ULTRA signals have highest probability but occur less frequently. STRONG signals offer good balance between frequency and reliability. Step 4: Look for Divergences Divergence markers indicate momentum exhaustion. When divergences appear with extreme oscillator readings, reversal probability increases significantly. Step 5: Confirm with MACD Histogram Check MACD histogram direction and strength. Large histogram bars confirm strong momentum, shrinking bars suggest momentum loss. Step 6: Validate with Volume (MFI) Ensure MFI supports the move. Bullish signals with rising MFI are stronger, bearish signals with falling MFI are stronger. Best Practices Use on 15-minute to 4-hour timeframes for optimal signal quality Wait for STRONG or MEGA signals rather than acting on every BUY/SELL Divergences work best when combined with extreme oscillator readings Multiple oscillator divergences (RSI + WT + MACD) are most reliable Use confluence score as filter - avoid signals below 60 score MACD histogram size indicates momentum strength - larger bars = stronger moves MFI divergence from price often precedes reversals (volume leads price) Combine with price action and support/resistance for best results Indicator Limitations Oscillators can remain overbought/oversold longer than expected in strong trends Divergences can persist for multiple bars before reversal occurs Multiple signals in choppy markets can lead to whipsaws Confluence score is mathematical calculation, not prediction of future movement ULTRA signals are rare - waiting only for these may miss opportunities Volume data quality varies across markets and can affect MFI reliability Stochastic RSI is very sensitive and can generate premature signals No indicator combination eliminates false signals entirely Requires understanding of oscillator behavior for effective interpretation Technical Implementation Built with Pine Script v6 using: Custom WaveTrend calculation with dual-line system Proper MFI formula with volume-weighted money flow Multi-oscillator divergence detection with pivot analysis Confluence scoring algorithm with weighted components Enhanced MACD histogram visualization (linewidth 8) Dynamic color gradients for momentum visualization Anti-overlap logic for signal labels Real-time dashboard with oscillator readings The code is fully open-source and can be modified to adjust oscillator weights, signal thresholds, and visual preferences. Originality Statement This indicator is original in its multi-oscillator integration approach. While individual components (WaveTrend, MFI, RSI, MACD, Stochastic RSI) are established oscillators, this mashup is justified because: It combines five oscillators using fundamentally different calculation methods The tiered signal system (BUY to ULTRA) provides graduated confidence levels Multi-oscillator divergence detection catches momentum exhaustion across different timeframes Confluence scoring quantifies momentum alignment across all oscillators Volume integration through MFI adds institutional flow perspective Enhanced visualization (large MACD histogram, bright divergence markers) improves usability Each oscillator contributes unique information: WaveTrend provides wave-cycle analysis, MFI incorporates volume, RSI offers reliable baseline, MACD shows trend strength, and Stochastic RSI catches early shifts. The mashup's value lies in identifying when these different momentum calculations align, significantly reducing false signals compared to any single oscillator. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Oscillator-based indicators are lagging tools that analyze past price data. They do not predict future price movement. Overbought conditions can persist in strong uptrends, and oversold conditions can persist in strong downtrends. Divergences can continue for extended periods before reversals occur. The confluence score is a mathematical calculation, not a guarantee of trade success. High confluence scores do not ensure profitable trades. Past signal performance does not guarantee future results. Market conditions change, and oscillator behavior varies across different market regimes. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
Volume Opening Range Framework CRRVolume Opening Range Framework CRR This indicator is designed for intraday market structure observation using opening session reference levels. The script builds a structured framework based on early session price activity and plots fixed levels across the trading day for visual analysis only. Key Features Opening session reference levels from 0915 to 1515 Fixed middle reference line with upper and lower distance levels Expansion based demand and supply style zones HMA 29 trend reference for structure guidance Clean visual framework for index or stock charts How To Use Apply on intraday charts for market structure study Use levels as reference areas not as trading signals Combine with personal analysis and independent confirmation Indicator does not predict market direction House Rules Notice Educational and analytical tool only No buy sell signals no profit claims no performance guarantees Users should make independent decisions and manage their own risk
Pine Script® indicator
by rajesswarrav