Mulai

Educational

ICT Macro Slot Algo Event๐Ÿ“Š Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. ๐ŸŽฏ Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Indikator Pine Scriptยฎ
oleh viveksadokj1uli
1
Rotation SentinelROTATION SENTINEL v1.1 โ€” OVERVIEW Rotation Sentinel is a macro rotation engine that tracks 10 institutional-grade dominance, liquidity, and trend signals to identify when capital is flowing into altcoins. Each row outputs Green / Yellow / Red, and the system produces a 0โ€“10 Rotation Score plus a final regime: ๐Ÿ”ด NO ROTATION (0โ€“4) ๐ŸŸก ROTATION STARTING (5โ€“6) ๐ŸŸข ALTSEASON (7โ€“10) Use on Daily timeframe for best accuracy. KEY SIGNALS 1๏ธโƒฃ BTC.D ex-stables Shows true BTC vs alt strength. ๐ŸŸข Falling = capital rotating into alts. ๐Ÿ”ด Rising = alts bleeding. (Master switch.) 2๏ธโƒฃ OTHERS.D Broad altcoin dominance. ๐ŸŸข Rising = early alt strength. ๐Ÿ”ด Falling = weak participation. 3๏ธโƒฃ ETH/BTC Rotation ignition. ๐ŸŸข ETH outperforming = rotation can start. ๐Ÿ”ด ETH lagging = altseason impossible. 4๏ธโƒฃ STABLE.C.D Crypto โ€œfear index.โ€ ๐ŸŸข Falling = risk-on environment. ๐Ÿ”ด Rising = capital hiding in stables. 5๏ธโƒฃ USDT.D Real-time risk positioning. ๐ŸŸข Falling = capital deploying. ๐Ÿ”ด Rising = defensive. 6๏ธโƒฃ TOTAL3 (HTF Trend) Structural alt market health. ๐ŸŸข Above SMA + rising = bullish structure. ๐Ÿ”ด Below SMA + falling = systematic weakness. 7๏ธโƒฃ TOTAL3 / TOTAL2 Depth of rotation. ๐ŸŸข Mid/small caps outperforming = deep rotation. ๐Ÿ”ด Only large caps moving = shallow cycle. 8๏ธโƒฃ Risk Ratio (OTHERS.D / STABLE.C.D) Pure risk appetite. ๐ŸŸข Alts gaining on stables = risk-on. 9๏ธโƒฃ OTHERS/BTC Alt value vs BTC. ๐ŸŸข Rising = alts outperforming BTC. ๐Ÿ”Ÿ Liquidation Heatmap (Manual) Update from Hyblock/Coinalyze. ๐ŸŸข Liquidity above = upside easier. ALTSEASON TRIGGER Fires only when all 6 core conditions turn GREEN: BTC.D ex-stables OTHERS.D ETH/BTC STABLE.C.D TOTAL3 structure Rotation Score โ‰ฅ threshold (default 7) BEST PRACTICES Use Daily timeframe (macro rotation, not intraday noise) Score < 5 โ†’ defensive / selective trades Score 5โ€“6 โ†’ early rotation window Score โ‰ฅ 7 โ†’ confirmed altseason regime Let alerts notify you; no need to manually monitor INCLUDED ALERTS ๐Ÿšจ ALTSEASON TRIGGERED โš ๏ธ Rotation Score Crossed Threshold ๐Ÿ“ˆ ETH/BTC Rotation Clock Activated ๐Ÿ”ฅ OTHERS.D Breaking Higher
Indikator Pine Scriptยฎ
oleh cdotgnz
Steff- OBX- DTA OBX โ€“ US Open 15-Minute Zone Indicator This indicator highlights the first 15 minutes of the U.S. stock market opening, also known as the OBX (Opening Balance Extension). It is designed specifically for Nasdaq and S&P 500, which open at 09:30 New York time โ€” corresponding to 15:30 Danish time. What this indicator does: โ€ข Marks the price range from 09:30โ€“09:45 (U.S. time) as a zone on your chart โ€ข Automatically adjusts to your local timezone, so the zone always aligns with Danish time โ€ข Extends the zone to the right so you can track how price interacts with OBX throughout the day โ€ข Draws all historical OBX zones so you can analyze previous reactions โ€ข Rebuilds zones automatically when switching timeframes โ€ข Detects breakouts from the zone โ€ข Tracks balancing time only after a real breakout occurs โ€ข Can automatically remove a zone if price spends a continuous amount of time inside it after the breakout (you set the minutes yourself) โ€ข Allows full customization of OBX start time, duration, and behavior โ€ข Individual zones can be manually deleted without being redrawn by the indicator Why the OBX matters: The OBX represents one of the most influential time windows in intraday trading because it reflects: โ€ข The first injection of liquidity after the U.S. market opens โ€ข Institutional positioning and algorithmic adjustments โ€ข Early volatility and directional bias โ€ข Common zones for reversals, breakouts, or mean reversion โ€ข Key high-probability reaction levels used by professional traders This indicator gives you a clear visual representation of when the market reacts to the U.S. open and how price interacts with the opening range throughout the session.
Indikator Pine Scriptยฎ
oleh Mustadtu
1
Previous Day Candle [ApexFX]Previous Day Candle is a precision tool designed for intraday traders who rely on previous daily structures to find support and resistance. While most indicators simply mark the previous high and low, this tool focuses on Session Continuity. It highlights the full 24-hour range of the previous day and extends those levels into the "Killzone" of the current trading day (up to 2:00 PM EST / 12:00 PM MST). Why use this? Market reaction often occurs at the previous day's extremes. By extending these lines into the current session, you can easily spot: Breakouts: Price pushing through yesterday's high. Failed Auctions: Price sweeping yesterday's low and reversing. Support/Resistance Flips: Old highs becoming new support. Main Features: Asset Class Presets: Don't worry about timezones. Simply select your market: Forex: Aligns to the standard 5:00 PM EST New York Open. Indices: Aligns to the 6:00 PM EST Globex Open. Crypto: Aligns to UTC Midnight. Custom: Full manual control for specific needs. Visual "Boxing": Vertical dotted lines clearly demarcate the start and end of the previous trading day. Dynamic History: Choose to show just yesterday's levels or look back at the last 5+ days. Smart Color Coding: The indicator automatically cycles colors for each day (Blue = Yesterday, Green = 2 Days Ago, etc.), making it instant to read historical price action. Best Used On: Intraday timeframes (5m, 15m, 1h).
Indikator Pine Scriptยฎ
oleh ApexFX-Official
1
Forward Returns โ€“ (Next Month Start)This indicator calculates 1-month, 3-month, 6-month, and 12-month forward returns starting from the first trading day of the month following a defined price event. A price event occurs when the selected asset drops below a user-defined threshold over a chosen timeframe (Day, Week, or Month). For monthly conditions, the script evaluates the entire performance of the previous calendar month and triggers the event only at the first trading session of the next month, ensuring accurate forward-return alignment with historical monthly cycles. The forward returns for each detected event are displayed in a paginated performance table, allowing users to navigate through large datasets using a page selector. Each page includes: Entry Date Forward returns (1M, 3M, 6M, 12M) Average forward return Win rate (percentage of positive outcomes) This tool is useful for studying historical performance after major drawdowns, identifying seasonal patterns, and building evidence-based risk-management or timing models.
Indikator Pine Scriptยฎ
oleh pcingari
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum. The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex. This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values โ€‹โ€‹correspond to a stable and calm market environment, and lower values โ€‹โ€‹indicate periods of increased risk and potential liquidity stress. LT generates an integral liquidity index in the range based on five normalized components: -nVol โ€” normalized volume, reflecting trading density and activity. -nATR โ€” the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity. -nRange โ€” the normalized candlestick range, also inverted to assess the structural narrowness of the price movement. -nBody โ€” the normalized candlestick body size (|close โˆ’ open|), inverted to assess the balance of supply and demand. -nMove โ€” the normalized value of the price impulse movement (|ฮ”close|), reflecting short-term price spikes. Each metric is linearly normalized over a sliding window (200 bars) using the formula: norm(x) = (x โˆ’ min) / (max โˆ’ min), where at max = min, the value is fixed at 0.5 to ensure stability. The ALT index is calculated as a weighted combination: ALT = 0.35 nVol + 0.20 (1 โˆ’ nATR) + 0.20 (1 โˆ’ nRange) + 0.15 (1 โˆ’ nBody) + 0.10 (1 โˆ’ nMove) The result is further smoothed using EMA(3) to reduce micronoise. Red Zone (MLI < 0.25) โ€” Risk, Thin Liquidity When the indicator falls into the red zone, it means the market is extremely volatile: Characteristics: Low volume โ€” small trades have a strong impact on the price. High volatility โ€” candlesticks rise or fall sharply. Wide candlestick range โ€” the market is "breathing heavily," easily breaking price extremes. Impulsive movements โ€” small market shocks lead to sharp spikes. Thin liquidity โ€” few orders in the order book, large orders "eat up" the market. What this means for a trader: ๐Ÿ”ฅ High risk of spikes and false breakouts. โš  Possible series of liquidations on leverage. โŒ It is not recommended to enter long or short positions without a filter or protection. โœ… Can be used for short scalping strategies if you know the entry point, but very carefully. Green Zone (MLI > 0.75) โ€” High Liquidity, Safe Zone When the indicator rises into the green zone, it means the market is stable and balanced: Characteristics: High volume โ€” the market is deep, orders are executed without a strong impact on the price. Low volatility โ€” candlesticks are stable, no sharp spikes. Narrow candlestick range โ€” price moves calmly. Weak impulse movements โ€” no sharp surges. Sufficient liquidity โ€” the market can handle large orders. What this means for a trader: โœ… Safe zone for opening positions. ๐Ÿ”„ Easier to set stop-loss and take-profit orders. ๐Ÿ’ก You can trade both up and down, the risk of sharp movements is minimal. โšก Under these conditions, there is a lower risk of spikes and accidental liquidations. It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Indikator Pine Scriptยฎ
oleh Zdorman
Trend Line Methods (TLM)Trend Line Methods (TLM) Overview Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis. Method 1 โ€“ Pivot Span Trendline The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows. โ€ข The script tracks a configurable number of recent pivot highs and lows. โ€ข From the oldest and most recent stored pivot highs, it draws an upper trend line. โ€ข From the oldest and most recent stored pivot lows, it draws a lower trend line. โ€ข An optional filled area can be drawn between the two lines to highlight the active trend span. As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points. Method 2 โ€“ 5-Point Straight Channel The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window. Within the selected window: โ€ข The window is divided into five segments of similar length. โ€ข In each segment, the highest high is used as a representative high point. โ€ข In each segment, the lowest low is used as a representative low point. โ€ข A straight regression-style line is fitted through the five high points to form the upper boundary. โ€ข A second straight line is fitted through the five low points to form the lower boundary. The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market. Inputs & Menus Pivot Span Trendline group (Method 1) โ€ข Enable Pivot Span Trendline โ€“ Turns Method 1 on or off. โ€ข High trend line color / Low trend line color โ€“ Colors of the upper and lower trend lines. โ€ข Fill color between trend lines โ€“ Base color used to shade the area between the two lines. Transparency is controlled internally. โ€ข Trend line thickness โ€“ Line width for both high and low trend lines. โ€ข Trend line style โ€“ Line style (solid, dashed, or dotted). โ€ข Pivot Left / Pivot Right โ€“ Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points. โ€ข Pivot Count โ€“ How many historical pivot points are kept for constructing the trend lines. โ€ข Lookback Length โ€“ Number of bars used to keep pivots in range and to extend the trend lines across the chart. 5-Point Straight Channel group (Method 2) โ€ข Enable 5-Point Straight Channel โ€“ Turns Method 2 on or off. โ€ข High channel line color / Low channel line color โ€“ Colors of the upper and lower channel lines. โ€ข Channel line thickness โ€“ Line width for both channel lines. โ€ข Channel line style โ€“ Line style (solid, dashed, or dotted). โ€ข Channel Length (bars) โ€“ Lookback window used to divide price into five segments and build the straight high/low channel. Using Both Methods Together Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window. When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan. Notes โ€ข This script is meant as an educational and analytical tool for studying trend lines and channels. โ€ข It does not generate trading signals and does not replace independent analysis or risk management. โ€ข The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
Indikator Pine Scriptยฎ
oleh ata_sabanci
26
GME Cash FloorsPlots three fundamental โ€œfloor valueโ€ lines for GameStop based on its balance sheet: Cash/Share (Gross + BTC) โ€“ total cash & equivalents per share, optionally including the BTC treasury at current BTCUSD price. Net Cash/Share โ€“ cash (plus optional BTC) minus total debt, per share. 2030 Carry Floor โ€“ projected net cash per share in 2030 assuming the cash portion compounds at a user-set rate while the 0% notes are repaid at maturity. Inputs let you update cash, debt, share count, interest rate, years to 2030, and toggle BTC on/off so the lines stay in sync with the latest 10-Q.
Indikator Pine Scriptยฎ
oleh greg8074
1
Global M2 Money Supply Growth (GDP-Weighted)๐Ÿ“Š Global M2 Money Supply Growth (GDP-Weighted) This indicator tracks the weighted aggregate M2 money supply growth across the world's four largest economies: United States, China, Eurozone, and Japan. These economies represent approximately 69.3 trillion USD in combined GDP and account for the majority of global liquidity, making this a comprehensive macro indicator for analyzing worldwide monetary conditions. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ”ง KEY FEATURES: ๐Ÿ“ˆ GDP-Weighted Aggregation Each economy is weighted proportionally by its nominal GDP using 2025 IMF World Economic Outlook data: โ€ข United States: 44.2% (30.62 trillion USD) โ€ข China: 28.0% (19.40 trillion USD) โ€ข Eurozone: 21.6% (15.0 trillion USD) โ€ข Japan: 6.2% (4.28 trillion USD) The weights are fully adjustable through the indicator settings, allowing you to update them annually as new IMF forecasts are released (typically April and October). โฑ๏ธ Multiple Time Period Options Choose between three calculation methods to analyze different timeframes: โ€ข YoY (Year-over-Year): 12-month growth rate for identifying long-term liquidity trends and cycles โ€ข MoM (Month-over-Month): 1-month growth rate for detecting short-term monetary policy shifts โ€ข QoQ (Quarter-over-Quarter): 3-month growth rate for medium-term trend analysis ๐Ÿ”„ Advanced Offset Function Shift the entire indicator forward by 0-365 days to test lead/lag relationships between global liquidity and asset prices. Research suggests a 56-70 day lag between M2 changes and Bitcoin price movements, but you can experiment with different offsets for various assets (equities, gold, commodities, etc.). ๐ŸŒ Individual Country Breakdown Real-time display of each economy's M2 growth rate with: โ€ข Current percentage change (YoY/MoM/QoQ) โ€ข GDP weight contribution โ€ข Color-coded values (green = monetary expansion, red = contraction) ๐Ÿ“Š Smart Overlay Capability Displays directly on your main price chart with an independent left-side scale, allowing you to visually correlate global liquidity trends with any asset's price action without cluttering the chart. ๐Ÿ”ง Customizable GDP Weights All GDP values can be adjusted through the indicator settings without editing code, making annual updates simple and accessible for all users. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“ก DATA SOURCES: All M2 money supply data is sourced from ECONOMICS (Trading Economics) for consistency and reliability: โ€ข ECONOMICS:USM2 (United States) โ€ข ECONOMICS:CNM2 (China) โ€ข ECONOMICS:EUM2 (Eurozone) โ€ข ECONOMICS:JPM2 (Japan) All values are normalized to USD using current daily exchange rates (USDCNY, EURUSD, USDJPY) before GDP-weighted aggregation, ensuring accurate cross-country comparisons. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ’ก USE CASES & APPLICATIONS: ๐Ÿ”น Liquidity Cycle Analysis Track global monetary expansion/contraction cycles to identify when central banks are coordinating loose or tight monetary policies. ๐Ÿ”น Market Timing & Risk Assessment High M2 growth (>10%) historically correlates with risk-on environments and rising asset prices across crypto, equities, and commodities. Negative M2 growth signals monetary tightening and potential market corrections. ๐Ÿ”น Bitcoin & Crypto Correlation Compare with Bitcoin price using the offset feature to identify the optimal lag period. Many traders use 60-70 day offsets to predict crypto market movements based on liquidity changes. ๐Ÿ”น Macro Portfolio Allocation Use as a regime filter to adjust portfolio exposure: increase risk assets during liquidity expansion, reduce during contraction. ๐Ÿ”น Central Bank Policy Divergence Monitor individual country metrics to identify when major central banks are pursuing divergent policies (e.g., Fed tightening while China eases). ๐Ÿ”น Inflation & Economic Forecasting Rapid M2 growth often leads inflation by 12-18 months, making this a leading indicator for future inflation trends. ๐Ÿ”น Recession Early Warning Negative M2 growth is extremely rare and has preceded major recessions, making this a valuable risk management tool. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“Š INTERPRETATION GUIDE: ๐ŸŸข +10% or Higher Aggressive monetary expansion, typically during crises (2001, 2008, 2020). The COVID-19 period saw M2 growth reach 20-27%, which preceded significant inflation and asset price surges. Strong bullish signal for risk assets. ๐ŸŸข +6% to +10% Above-average liquidity growth. Central banks are providing stimulus beyond normal levels. Generally favorable for equities, crypto, and commodities. ๐ŸŸก +3% to +6% Normal/healthy growth rate, roughly in line with GDP growth plus 2% inflation targets. Neutral environment with moderate support for risk assets. ๐ŸŸ  0% to +3% Slowing liquidity, potential tightening phase beginning. Central banks may be raising rates or reducing balance sheets. Caution warranted for high-beta assets. ๐Ÿ”ด Negative Growth Monetary contraction - extremely rare. Only occurred during aggressive Fed tightening in 2022-2023. Strong warning signal for risk assets, often precedes recessions or major market corrections. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐ŸŽฏ OPTIMAL USAGE: ๐Ÿ“… Recommended Timeframes: โ€ข Daily or Weekly charts for macro analysis โ€ข Monthly charts for very long-term trends ๐Ÿ’น Compatible Asset Classes: โ€ข Cryptocurrencies (especially Bitcoin, Ethereum) โ€ข Equity indices (S&P 500, NASDAQ, global markets) โ€ข Commodities (Gold, Silver, Oil) โ€ข Forex majors (DXY correlation analysis) โš™๏ธ Suggested Settings: โ€ข Default: YoY calculation with 0 offset for current liquidity conditions โ€ข Bitcoin traders: YoY with 60-70 day offset for predictive analysis โ€ข Short-term traders: MoM with 0 offset for recent policy changes โ€ข Quarterly rebalancers: QoQ with 0 offset for medium-term trends โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“‹ VISUAL DISPLAY: The indicator plots a blue line showing the selected growth metric (YoY/MoM/QoQ), with a dashed reference line at 0% to clearly identify expansion vs. contraction regimes. A comprehensive table in the top-right corner displays: โ€ข Current global M2 growth rate (large, prominent display) โ€ข Individual country breakdowns with their GDP weights โ€ข Color-coded growth rates (green for positive, red for negative) โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ”„ MAINTENANCE & UPDATES: GDP weights should be updated annually (ideally in April or October) when the IMF releases new World Economic Outlook forecasts. Simply adjust the four GDP input parameters in the indicator settings - no code editing required. The relative GDP proportions between the Big 4 economies change very gradually (typically <1-2% per year), so even if you update weights once every 1-2 years, the impact on the indicator's accuracy is minimal. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ’ญ TRADING PHILOSOPHY: This indicator embodies the principle that "liquidity drives markets." By tracking the combined M2 money supply of the world's largest economies, weighted by their economic size, you gain insight into the fundamental liquidity conditions that underpin all asset prices. Unlike single-country M2 indicators, this GDP-weighted approach captures the true global picture, accounting for the fact that US monetary policy has 2x the impact of Japanese policy due to economic size differences. Perfect for macro-focused traders, long-term investors, and anyone seeking to understand the "tide that lifts all boats" in financial markets. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• Created for traders and investors who incorporate global liquidity trends into their decision-making process. Best used alongside other technical and fundamental analysis tools for comprehensive market assessment. โš ๏ธ Disclaimer: M2 money supply is a lagging macroeconomic indicator. Past correlations do not guarantee future results. Always use proper risk management and combine with other analysis methods.
Indikator Pine Scriptยฎ
oleh sandervanderjeugt
Fear & Greed Oscillator - Risk SentimentThe Fear & Greed Oscillator โ€“ Risk Sentiment is a macro-driven sentiment indicator inspired by the popular Fear & Greed Index , but rebuilt from the ground up using real, market-based economic data and statistical normalization. While the traditional Fear & Greed Index uses components like volatility, volume, and social media trends to estimate sentiment, this version is powered by the Copper/Gold ratio โ€” a historically respected gauge of macroeconomic confidence and risk appetite. ๐Ÿ“ˆ Expansion vs. Contraction Theory At the heart of this oscillator is a simple macroeconomic insight: ๐ŸŸข Copper performs well during periods of economic expansion and risk-on behavior (industrials, construction, manufacturing growth). ๐Ÿ”ด Gold performs well during periods of economic contraction , as a classic risk-off, capital-preserving asset. By tracking the ratio of Copper to Gold prices over time and converting it into a Z-score , this tool shows when macro sentiment is statistically stretched toward greed or fear โ€” based on how unusually strong one side of the ratio is relative to its historical average. โš™๏ธ How It Works The script takes two user-defined tickers (default: Copper and Gold) and calculates their ratio. It then applies Z-score normalization over a user-defined period (default: 200 bars). A color gradient line is plotted: ๐Ÿ”ด Z < -2 = Extreme Fear ๐ŸŸฃ -2 to 0 = Mild Fear to Neutral ๐Ÿ”ต 0 to 2 = Neutral to Greed ๐ŸŸข Z > 2 = Extreme Greed Visual guides at ยฑ1, ยฑ2, ยฑ3 standard deviations give immediate context. Includes alert conditions when the Z-score crosses above +2 (Greed) or below -2 (Fear). ๐Ÿ”” Alerts โ€œZ-Score has entered the Greed Zone โ€ when Z > 2 โ€œZ-Score has entered the Fear Zone โ€ when Z < -2 These are designed to help catch macro sentiment extremes before or during large shifts in market behavior. โš ๏ธ Disclaimer This indicator is a macro sentiment tool, not a direct trading signal. While the Copper/Gold ratio often reflects economic risk trends, correlation with risk assets (like Bitcoin or equities) is not guaranteed and may vary by cycle. Always use this indicator in conjunction with other tools and contextual analysis.
Indikator Pine Scriptยฎ
oleh RWCS_LTD
Wolfe Wave PatternHello All! For a while now, some of my followers have been asking me to develop Wolfe Wave Pattern . Here it's at your service as open-source and public indicator. How it works? - On each bar/tick it checks zigzag waves by using base period and updates the array that is used to keep zigzag levels and locations. Base period in the settings is the minimum zigzag period - Then it searches if there is new bullish/bearish Wolfe Wave pattern according to last wave direction - Before searching the pattern it calculates all possible 1234 waves. So any wave in 12345 uses base period or higher. it means that it search all possible candidates. This algorithm is much better than using a few zigzag periods. - After getting all possible candidates, it checks if any of the found candidates is suitable for Wolfe Wave pattern and keeps them in a matrix - if there are suitable candidate(s) it shows the latest one and triggers the alert - it also follows the targets and if the price hits any of the target it extends the line and trigger the alert - it doesn't check if any of the patterns hits stop-loss. Options: Base Period: minimum period to create the zigzag Error Rate: there are usually so few perfect patterns, so we better consider deviation. if error rate is low than it finds less pattern with more accuracy, if error rate is high than it finds more pattern with less accuracy - The other options are used for coloring the patterns and lines Some examples: P.S. I didn't have enough time to test the indicator, so please drop a comment if you see any issue while using it Enjoy!
Indikator Pine Scriptยฎ
oleh LonesomeTheBlue
8
ICS๐Ÿ›๏ธ Institutional Confluence Suite (ICS) Indicator The Institutional Confluence Suite is a powerful and highly customizable TradingView indicator built to help traders identify key institutional trading concepts across multiple timeframes. It visualizes essential market components like Market Structures (MS), Order Blocks (OB)/Breaker Blocks (BB), Liquidity Zones, and Volume Profile, providing a confluence of institutional price action data. ๐Ÿ“ˆ Key Features & Components 1. Market Structures (MS) Purpose: Automatically identifies and labels shifts in market trends (Market Structure Shift, MSS) and continuations (Break of Structure, BOS). Timeframe Detection: You can select detection across Short Term, Intermediate Term, or Long Term swings to match your trading horizon. Visualization: Plots colored lines (Bullish: Teal, Bearish: Red) to mark the structures and optional text labels (BOS/MSS) for clear identification. 2. Order & Breaker Blocks (OB/BB) Purpose: Detects and projects potential Supply and Demand zones based on recent price action that led to a swing high or low. Block Types: Distinguishes between standard Order Blocks and Breaker Blocks (OBs that fail to hold and are traded through, often serving as support/resistance in the opposite direction). Customization: Detection Term: Adjusts sensitivity (Short, Intermediate, Long Term). Display Limit: Sets the maximum number of recent Bullish and Bearish blocks to display. Price Reference: Option to use the Candle Body (Open/Close) or Candle Wicks (High/Low) to define the block boundaries. Visualization: Displays blocks as colored boxes (Bullish: Green, Bearish: Red) extending into the future, with a dotted line marking the 50% equilibrium level. Breaker Blocks are indicated by a change in color/line style upon being broken. 3. Buyside & Sellside Liquidity (BSL/SSL) Purpose: Highlights areas where retail stops/limit orders are likely clustered, often represented by a series of relatively equal highs (Buyside Liquidity) or lows (Sellside Liquidity). Detection Term: Adjustable sensitivity (Short, Intermediate, Long Term). Margin: Uses a margin (derived from ATR) to group similar swing points into a single liquidity zone. Visualization: Plots a line and text label marking the swing point, and a box indicating the clustered liquidity zone. 4. Liquidity Voids (LV) / Fair Value Gaps (FVG) Purpose: Identifies areas where price moved sharply and inefficiency was created, often referred to as Fair Value Gaps or Imbalances. These are price ranges where minimal trading volume occurred. Threshold: Uses a multiplier applied to the 200-period ATR to filter for significant gaps. Mode: Can be set to Present (only show voids near the current price) or Historical (show all detected voids). Visualization: Fills the price gap with colored boxes (Bullish/Bearish zones), often segmented to represent the price delivery across the gap. 5. Enhanced Liquidity Detection Purpose: A complementary feature that uses volume and price action to highlight areas of high liquidity turnover, potentially indicating stronger Support and Resistance zones. Calculation: Utilizes a volume-weighted approach to color-grade liquidity zones based on their significance. Visualization: Plots shaded boxes (gradient-colored) around swing highs/lows, with text displaying the normalized volume strength. 6. Swing Highs/Lows Purpose: Directly marks the price points identified as Swing Highs and Swing Lows based on the lookback periods. Timeframe Detection: Can be enabled for Short Term, Intermediate Term, or Long Term swings. Visualization: Plots a small colored dot/label (e.g., "โฆ") at the swing point. This indicator is an invaluable tool for traders employing ICT (Inner Circle Trader), Smart Money Concepts (SMC), or general price action strategies, as it automatically aggregates and displays these critical structural and liquidity elements.
Indikator Pine Scriptยฎ
oleh SurgeGuru
1
TASC 2025.12 The One Euro Filterโ–ˆ OVERVIEW This script implements the One Euro filter, developed by Georges Casiez, Nicolas Roussel, and Daniel Vogel, and adapted by John F. Ehlers in his article "Low-Latency Smoothing" from the December 2025 edition of the TASC Traders' Tips . The original creators gave the filter its name to suggest that it is cheap and efficient, like something one might purchase for a single Euro. โ–ˆ CONCEPTS The One Euro filter is an EMA-based low-pass filter that adapts its smoothing factor (alpha) based on the absolute values of smoothed rates of change in the source series. It was designed to filter noisy, high-frequency signals in real time with low latency. Ehlers simplifies the filter for market analysis by calculating alpha in terms of bar periods rather than time and frequency, because periods are naturally intuitive for a discrete financial time series. In his article, Ehlers demonstrates how traders can apply the adaptive One Euro filter to a price series for simple low-latency smoothing. Additionally, he explains that traders can use the filter as a smoothed oscillator by applying it to a high-pass filter. In essence, similar to other low-pass filters, traders can apply the One Euro filter to any custom source to derive a smoother signal with reduced noise and low lag. This script applies the One Euro filter to a specified source series, and it applies the filter to a two-pole high-pass filter or other oscillator, depending on the selected "Osc type" option. By default, it displays the filtered source series on the main chart pane, and it shows the oscillator and its filtered series in a separate pane. โ–ˆ INPUTS Source: The source series for the first filter and the selected oscillator. Min period: The minimum cutoff period for the smoothing calculation. Beta: Controls the responsiveness of the filter. The filter adds the product of this value and the smoothed source change to the minimum period to determine the filter's smoothing factor. Larger values cause more significant changes in the maximum cutoff period, resulting in a smoother response. Osc type: The type of oscillator to calculate for the pane display. By default, the indicator calculates a high-pass filter. If the selected type is "None", the indicator displays the "Source" series and its filtered result in a separate pane rather than showing the filter on the main chart. With this setting, users can pass plotted values from another indicator and view the filtered result in the pane. Period: The length for the selected oscillator's calculation.
Indikator Pine Scriptยฎ
oleh PineCodersTASC
1
Previous Day & Week Highs and Lows 1.3Overlay indicator that plots horizontal lines for the previous dayโ€™s and previous weekโ€™s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week. The indicator detects new daily and weekly sessions and draws lines at the previous periodโ€™s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Indikator Pine Scriptยฎ
oleh camren_browne
1
Previous Day & Week Highs and LowsOverlay indicator that plots horizontal lines for the previous dayโ€™s and previous weekโ€™s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week. The indicator detects new daily and weekly sessions and draws lines at the previous periodโ€™s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Indikator Pine Scriptยฎ
oleh camren_browne