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Daily divider & H/L Daily Market Briefing ​This briefing is a template you can customize daily. The core idea is to establish your daily range and then use that as a framework for identifying key areas of interest. ​1. Daily Range and Divider ​The Daily Range is simply the difference between the high and low of the previous trading day. The Daily Divider is a horizontal line you place on your chart that represents either the high, the low, or the midpoint of that previous day's range. ​How to Use It: Plot the previous day's high and low on your current chart. These lines act as significant support and resistance levels. A break above the high or below the low can signal a continuation of the trend or a shift in momentum. ​2. Kill Zones ​Kill Zones are specific times of the day when market volatility and liquidity are typically highest, creating prime opportunities for trades.
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mehul_mamgain96의
Forex Sessions(IST)📌 Forex Sessions (IST Version) This indicator highlights the four major Forex market sessions — Asia, Frankfurt, London, and New York — automatically adjusted to Indian Standard Time (IST). Session Timings in IST: Asia: 02:30 – 10:30 🇩🇪 Frankfurt: 11:30 – 12:30 🇬🇧 London: 12:30 – 21:30 🇺🇸 New York: 17:30 – 02:30 (next day) Trading Advantages: Asia session → Spot the range high/low Frankfurt → Detect inducement moves London → Identify the main push/trend move New York → Catch reversals & profit taking Features: Clean session highlights with custom colors Optional tools: range, trendlines, mean, VWAP, max/min levels Adjustable transparency and display settings With this, you can easily track session overlaps, volatility shifts, and trade setups — all aligned with IST Forex timings.
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vinshulhimself의
Relative Strength Heat [InvestorUnknown]The Relative Strength Heat (RSH) indicator is a relative strength of an asset across multiple RSI periods through a dynamic heatmap and provides smoothed signals for overbought and oversold conditions. The indicator is highly customizable, allowing traders to adjust RSI periods, smoothing methods, and visual settings to suit their trading strategies. The RSH indicator is particularly useful for identifying momentum shifts and potential reversal points by aggregating RSI data across a range of periods. It presents this data in a visually intuitive heatmap, with color-coded bands indicating overbought (red), oversold (green), or neutral (gray) conditions. Additionally, it includes signal lines for overbought and oversold indices, which can be smoothed using RAW, SMA, or EMA methods, and a table displaying the current index values. Features Dynamic RSI Periods: Calculates RSI across 31 periods, starting from a user-defined base period and incrementing by a specified step. Heatmap Visualization: Displays RSI strength as a color-coded heatmap, with red for overbought, green for oversold, and gray for neutral zones. Customizable Smoothing: Offers RAW, SMA, or EMA smoothing for overbought and oversold signals. Signal Lines: Plots scaled overbought (purple) and oversold (yellow) signal lines with a midline for reference. Information Table: Displays real-time overbought and oversold index values in a table at the top-right of the chart. User-Friendly Inputs: Allows customization of RSI source, period ranges, smoothing length, and colors. How It Works The RSH indicator aggregates RSI calculations across 31 periods, starting from the user-defined Starting Period and incrementing by the Period Increment. For each period, it computes the RSI and determines whether the asset is overbought (RSI > threshold_ob) or oversold (RSI < threshold_os). These states are stored in arrays (ob_array for overbought, os_array for oversold) and used to generate the following outputs: Heatmap: The indicator plots 31 horizontal bands, each representing an RSI period. The color of each band is determined by the f_col function: Red if the RSI for that period is overbought (>threshold_ob). Green if the RSI is oversold (
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InvestorUnknown의
David Dang - Scalp M15/H1 (BTC/USDT)The Scalp Buy/Sell Volume + Support Resistance indicator is designed for traders who like short-term trading (scalping). The tool combines EMA trends, money flow strength (volume) and important support - resistance zones to give entry/exit signals. Green arrow (BUY): When the price crosses EMA, the volume increases and holds the support zone. Red arrow (SELL): When the price is below EMA, the volume increases and fails at the resistance zone. Displayed with EMA, support - resistance lines for traders to easily observe the trend.
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David_Backcom의
Liquidity On TimeIn ICT, liquidity means pools of orders resting in the market. These are usually stop-losses or pending orders from retail traders. Liquidity on time combines liquidity with the time-of-day element. ICT teaches that markets deliver liquidity at specific trading sessions. Main sessions: London Open (2–5 AM EST) and New York Open (7–10 AM EST). These times concentrate order flow, creating high-probability moves. Smart Money hunts liquidity at those hours, not randomly. Example: During London Open, stops above Asian range = liquidity target. New York session often sweeps London highs/lows before real move. Thus, timing tells us when liquidity will likely be attacked. "Liquidity on time" = confluence of where liquidity sits and when it’s taken. It explains why moves often happen at precise clock times, not anytime. Traders use it to avoid chasing price outside killzones. ICT emphasizes “time & price” must agree for valid setups. Price alone is incomplete; time confirms when Smart Money acts. This prevents overtrading in quiet hours. Example setup: Liquidity sweep at 9:30 AM NYSE open → entry trigger. Liquidity on time also explains engineered stops runs before news. The concept ties into Killzones, FVGs, and SMT divergence. In short, Liquidity on Time = knowing WHEN liquidity will be raided.
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R_FEY의
(AR Pro) سمارت موني - Smart Money An indicator based on the SMC school, adapted for Arabic use. The default settings for the indicator are based on my personal use of the indicator. The structure is purely structural. Advice: Connect the frames together and follow the long-frame analysis. Scalping = hourly frame for the market trend - 15-minute frame for analysis - 3-minute frame for entry into the quarter-hour analysis. Swing = daily frame for the general trend - 4-hour frame for analysis - 15-minute frame for entry into the 4-hour analysis. I hope you like the indicator. If there are any independent additions or improvements, I will work on them as soon as possible.
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Abu-hatan의
Killzone -WinCAlgoWhat is this Indicator? The Killzone Trading Sessions Indicator is a comprehensive tool designed to identify and visualize the most important trading sessions across all financial markets. This indicator highlights key timeframes when institutional traders and market makers are most active, creating high-probability trading opportunities in stocks, crypto, commodities, and indices. How to Use: - Session Boxes: Each colored box represents a trading session's high and low range - EQ-OTE Levels: Look for price reactions at 50% and 70% levels within sessions - Silver Bullets: Purple background highlights high-probability reversal times - CBDR Analysis: Use deviation levels to identify potential breakout targets Trading Strategy: - Wait for price to enter a killzone session - Look for liquidity sweeps at session highs/lows - Enter trades at EQ-OTE levels with proper risk management - Use Silver Bullet times for precise entry timing - Target deviation levels for profit-taking
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WinningCircle300의
2
Multi-Asset Trend Background [SwissAlgo]Multi-Asset Trend Background --------------------------------------------------------- Purpose This indicator colors the chart background green (uptrend) or red (downtrend) to show the broad phases of a selected asset or ratio (for example SP500, or Gold), regardless of the current ticker on the chart (for example BTC). The aim is not to generate signals, but to show when the selected asset (such as SP500 or Gold) was in a sustained uptrend or downtrend, so you can compare another chart (for example BTC) against that backdrop. It helps frame price action in context, highlighting how macro drivers often align with or diverge from other markets. From mid-2016 to late-2017, the SP500 was in a clear uptrend — Bitcoin rallied strongly in the same period, showing alignment between equities and crypto risk-taking. When Gold trended higher, the SP500 often weakened, reflecting their tendency to move inversely in longer cycles. As HYG/TLT turned down in early 2020, QQQ also struggled — illustrating how credit risk appetite is linked to equity performance. During periods of DXY strength, Gold frequently showed the opposite trend, consistent with the historical dollar–gold relationship. When RSP/SPY trended down, rallies in the S&P 500 were driven by a narrow group of large-cap stocks, while a rising ratio indicated broad market participation. --------------------------------------------------------- Why it May Help You Provides context for asset correlations. Helps identify whether a chart is moving with or against its macro environment. Useful for cycle mapping and historical study of market phases. Filters noise and emphasizes established trends rather than short swings. --------------------------------------------------------- How it Works You select an asset or ratio from a dropdown. The script calculates a mid-term moving average, then measures its slope, slope change, and slope acceleration to quantify the trend’s direction and consistency. A longer-term moving average filter defines whether the long-term backdrop is bullish or bearish. Background Coloring rules: Green = slope strongly positive in line with long-term uptrend, or downtrend showing constructive reversal signs. Red = slope strongly negative in line with long-term downtrend, or uptrend showing weakening slope. No shading = neutral or mixed conditions. This slope-based approach avoids the limitations of simple MA crosses, aiming to capture broad, consistent trend phases across different assets, with a mid/long-term view. --------------------------------------------------------- Assets You Can Select EQUITIES – good reference to gauge risk appetite in financial markets SP500 = broad benchmark. Uptrend = strength in US equities signalling risk-on conditions; downtrend = weakness, risk-off market phase. NASDAQ = tech and growth stocks. Uptrend = technology/growth leadership, risk appetite; downtrend = tech underperformance and fading risk appetite. DOW = industrial and value stocks. Uptrend = industrial/value strength/economic strength; downtrend = weakness in traditional sectors and potential economic downturn. RUSSELL2000 = small caps. Uptrend = typical in risk-on environments and FOMO; downtrend = small-cap underperformance, "flight to safety". COMMODITIES – proxies for inflation, industry, and safe-haven demand. GOLD = safe-haven. Uptrend = defensive demand rising/risk-off/inflation fears; downtrend = weaker demand for safety. SILVER = partly industrial, partly safe-haven. Uptrend = stronger industrial cycle, or precious metals demand and risk appetite. COPPER = industrial barometer. Uptrend = stronger industrial activity; downtrend = economic slowdown concerns. CRUDE OIL = energy prices. Uptrend = rising energy/inflation pressures; downtrend = weaker demand or supply relief. NATURAL GAS = volatile energy prices. Uptrend = higher energy costs and inflation pressure; downtrend = easing energy conditions. BONDS / FX – monetary policy, credit, and risk appetite signals. TLT = long-term US bonds. Uptrend = falling yields (bond demand)/flight to safety; downtrend = rising yields (risk on) HYG = high-yield credit. Uptrend = strong credit appetite; downtrend = risk aversion in credit markets. DXY = US dollar index. Uptrend = dollar strength (weaker EUR, GBP, SEK, etc); downtrend = dollar weakness. USDJPY = carry trade proxy. Uptrend = stronger USD vs JPY (risk appetite); downtrend = JPY strength (risk-off). CHFUSD = Swiss franc. Uptrend = franc strength (defensive flow); downtrend = franc weakness. YIELD INVERSION = US10Y–US02Y. Uptrend = curve steepening; downtrend = inversion deepening (higher recession risk). HOME BUILDERS = US housing sector. Uptrend = housing sector strength (risk on); downtrend = weakness (risk off). EURUSD = euro vs dollar. Uptrend = euro strength (risk appetite); downtrend = euro weakness (risk aversion). CRYPTO – digital asset benchmarks. BITCOIN = digital gold. Uptrend = BTC strength; downtrend = BTC weakness. CRYPTO_TOTAL = entire crypto market cap. Uptrend = broad crypto growth; downtrend = contraction. CRYPTO_ALTS = altcoin market cap. Uptrend = altcoin expansion (often “alt season”); downtrend = contraction. RATIOS – relative measures to extract macro signals. COPPER/BTC = compares industrial cycle vs Bitcoin cycle. Uptrend = copper outperforming BTC; downtrend = BTC outperforming copper. Seems aligned with BTC macro tops and bottoms in the mid/long run. RSP/SPY = market breadth (equal-weight vs cap-weighted). Uptrend = strong broad participation in market growth; downtrend = narrow leadership (fewer stocks leading the growth). PCE/CPI = Fed’s inflation measure (PCE) vs consumer perceived inflation (CPI). Uptrend = PCE rising faster than CPI; downtrend = CPI running hotter than PCE. Fluctuates around 1; values above 1 may indicate hawkish Fed stands, values < 1 may indicate more dovish Fed stands. HYG/TLT = credit vs bonds. Uptrend = risk appetite (high-yield outperforming long-term treasury bonds); downtrend = risk aversion. GOLD/SILVER = defensive vs cyclical metals. Uptrend = gold outperforming (risk-off tilt); downtrend = silver outperforming (risk-on tilt). EURUSD/BTC = fiat vs crypto. Uptrend = EUR strengthening vs BTC; downtrend = BTC strengthening vs EUR. In general, the BTC trend is aligned EUR/USD trend. --------------------------------------------------------- Limitations Trend detection may lag by design to reduce noise. Ratios rely on the availability and session rules of their components. Background colors update on bar close; intra-bar values may differ. Parameters are fixed and may not suit all assets equally. --------------------------------------------------------- Disclaimer This script is for educational and research purposes only. It does not provide financial advice or trade recommendations. Historical trend alignment does not guarantee future outcomes. Use with additional independent analysis.
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SwissAlgo의
3-Candle Reversal Pattern-vahid2star3-Candle Reversal Zones + Hammer Confirmation (with Risk Management & Alerts) This script combines 3-candle reversal detection, hammer confirmations, and smart demand/supply zone plotting into a single tool designed for both discretionary and automated traders. 🔍 Core Logic 3-Candle Reversal Pattern Candle-1: Strong move in one direction (big body). Candle-2: Doji-like candle (high shadow/body ratio). Candle-3: Reversal candle in the opposite direction (large body relative to Candle-2). A gap after Candle-3 is required for extra confirmation. Hammer Confirmation (Hammer-1 & Hammer-2) After a valid 3-candle setup, the script searches for a hammer pattern near the zone. Hammer-1: Draws a box directly on the hammer range if followed by a strong confirming candle. Hammer-2: If another hammer forms after the confirmation candle and holds for N bars (configurable), a second hammer box is drawn. Demand & Supply Zones For bullish setups, a demand zone is created from the Candle-2 low to the Candle-1 low. For bearish setups, a supply zone is created from the Candle-2 high to the Candle-1 high. Zones extend to the right until price interacts with them. 🛠 Filters & Quality Controls Trend filter (optional): Only draw zones if price respects higher-timeframe EMA200 slope and LTF EMA alignment. Market structure filter: Require higher-high / higher-low (for bullish) or lower-high / lower-low (for bearish). ATR filter: Zones must have a minimum height relative to ATR. Overlap control: Avoid drawing zones that overlap too heavily with existing ones. Cooldown: Restrict consecutive zones of the same type within a user-defined bar distance. 🎯 Risk Management & Strategy Dynamic position sizing: Trade size is automatically calculated from account equity, risk %, and leverage. Stop-loss & Take-profit: SL placed just beyond the zone ± buffer ticks. TP automatically set at user-defined Reward:Risk ratio (e.g., 3:1). Capital protection: Trades respect max leverage and risk per position settings. ⚡ Alerts The script provides one-time alerts for each zone: 🔔 First Touch Alert → Triggered when price first touches a demand, supply, or hammer box. Each zone only fires one alert, avoiding duplicates on re-touch or trade exit. 📊 Visuals Demand zones: Green boxes. Supply zones: Red boxes. Hammer boxes: Blue (bullish) / Orange (bearish). Used zones: Greyed out after price fills them. Outcomes: Zones change to green if TP is hit, red if SL is hit. Optional labels mark “Bullish zone ✓”, “Bearish zone ✓”, “Hammer-1 ✓”, or “Hammer-2 ✓” when confirmed. 🔧 Settings Overview Core pattern ratios (C1/C2, C3/C2 size multipliers). Doji definition (shadow/body ratio). Hammer search depth, confirmation delay, and strictness. Risk % per trade, leverage cap, stop buffer, RR ratio. Visual styling (colors, max box count, labels). Trend, structure, ATR, overlap, and cooldown filters. Option to disable orders (use as indicator + alerts only). ⚠️ Disclaimer This script is a technical analysis tool intended for educational purposes. It does not guarantee profits. Use proper risk management and test thoroughly before applying in live trading. ✨ With its combination of 3-candle reversals, hammer confirmations, and smart filtering, this script is designed to reduce noise, highlight high-probability zones, and give traders both visual structure and actionable alerts.
Pine Script™ 전략
sh_vahid의
ORB Breakouts with alerts"ORB Breakouts with Alerts" is a utility indicator that highlights an Opening Range Breakout (ORB) setup during a user-defined intraday time window. It allows traders to visualize price consolidation ranges and receive alerts when price breaks above or below the session high/low. 🔧 Features: *Customizable session time (start and end), adjustable to local time using a timezone offset. *Automatically plots: *A shaded box around the session's high and low. *Horizontal lines at session high and low levels. *Optional "BUY"/"SELL" labels to mark breakout directions. *Visual breakout signals when price crosses above or below the session range. *Built-in alerts to notify when breakouts occur. *Configurable styling options including box color, highlight color, and label placement. ⚙️ How It Works: *During the defined time range, the script tracks the highest high and lowest low. *After the session ends: *A box is drawn to represent the opening range. *Breakouts above the high or below the low trigger visual markers and optional alerts. *Alerts are limited to one per direction per day to reduce noise. ⚠️ This indicator is a technical analysis tool only and does not provide financial advice or trade recommendations. Always use with proper risk management and in conjunction with your trading plan.
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row004의
1
Above/Below Open Background + Percentage ChangeAbove/Below Open Background This indicator visually highlights whether the current price is trading above or below today’s session open. It also displays a small table showing the current percentage change relative to today’s open. Features • 🟢 Full chart background coloring: • Green → Price is above today’s open. • 🔴 Red → Price is below today’s open. • 📊 Percentage change table in the chart corner: • Shows real-time % difference from today’s open. • Automatically updates as price moves. • 🎛 Clean & lightweight — minimal resource usage, smooth performance. How to Use 1. Add the indicator to any stock, crypto, or futures chart. 2. The background immediately shows whether price is up or down relative to today’s open. 3. The table in the corner displays the percentage gain/loss. Best For • Day traders who want instant visual feedback. • Scalpers tracking session trends. • Anyone who wants a quick snapshot of intraday performance.
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conair의
ICT AI ATR Signals [TradingFinder]🔵 Introduction In financial markets, two main factors always have the greatest impact on traders’ decisions: the direction of the trend and the level of price volatility. Although there are various tools to analyze each of these factors, very few indicators can combine them in a coordinated and simultaneous way. The ICT AI ATR indicator has been designed with this purpose in mind, to provide a unified and comprehensive view of the market instead of relying on multiple scattered indicators. This indicator is built upon two widely used tools: the Moving Average (MA) and the Average True Range (ATR). The combination of these two indicators allows traders to simultaneously track the trend direction and account for market volatility two elements that always play a decisive role in trading decisions. In the structure of the indicator, the Moving Average acts as the central line and serves as the backbone of the tool. By calculating the average price over a defined period, the Moving Average filters out excess market noise and provides a clearer picture of the overall price movement. This helps traders focus on the main trend instead of being distracted by minor and temporary fluctuations. The central line is thus the main reference point for identifying the trend direction. Alongside this, the ATR is responsible for measuring the real volatility of the market. Unlike many tools that only look at closing price changes, the ATR considers the true range of candlestick movements, giving a more accurate view of market dynamics. In the ICT AI ATR indicator, this feature is used to draw dynamic bands above and below the Moving Average line. These bands shift with changing market conditions and act like dynamic support and resistance levels, areas where strong price reactions often occur. This combination allows traders not only to see the dominant market trend through the Moving Average but also to understand volatility and the natural price range via the ATR. For this reason, the ICT AI ATR identifies points that are likely to act as reaction or reversal zones, whether during bounces off the bands or breakouts through them. With this structure, the trader can at a glance : Identify the overall market direction using the Moving Average. Observe volatility and the natural range of price movement through ATR. Recognize key levels where strong reactions or potential reversals are more likely. As a result, the ICT AI ATR functions as a combined tool that replaces the need to use several separate indicators, enabling traders to analyze trend, volatility, price bands, and even Fibonacci targets within a single unified framework. 🔵 How to Use The ICT AI ATR indicator is designed to simplify market analysis through two main components: visual display of bands and signals on the chart itself, and a multi-symbol analytical dashboard capable of monitoring over 20 different assets simultaneously across multiple timeframes. This dashboard feature allows traders to gain a quick overview of overall market conditions without opening multiple charts or constantly switching timeframes. It updates in real-time, showing active Buy (Long) and Sell signals for each symbol. As such, the combination of direct chart display and dashboard analytics makes the indicator useful both for detailed analysis of a single symbol and for monitoring multiple markets at once. 🟣 How do ICT AI ATR trading signals work? Sell Signal (Short) : Triggered when the price pushes below the lower band (Low goes outside the lower band) and then closes back above it. This indicates potential weakness in bullish momentum and suggests possible selling pressure or the start of a downward correction. Traders can use this to spot sell setups or manage long positions. Buy Signal (Long) : Triggered when the price extends above the upper band (High goes outside the upper band) and then closes back below it. This often signals exhaustion in bearish pressure and the return of buying strength, potentially marking the start of a new upward move. This signaling logic is based on the actual behavior of price relative to the ATR dynamic bands. Unlike static formulas, signals adapt to changing market conditions, making them more accurate and reliable. The main advantage of the ICT AI ATR indicator is that traders can benefit from real-time analysis directly on the chart by observing price interactions with the bands and signals while also receiving a multi-market overview through the dashboard. This combination is especially valuable for traders who operate across multiple instruments or markets simultaneously. 🔵 Settings 🟣 Logical settings Moving Average Type : Select the type of moving average for the central line. Options include EMA, SMA, RMA, WMA, or HMA depending on the trading strategy. Moving Average Period : Defines the length of the moving average. Shorter periods make the central line more responsive to price changes, while longer periods smooth out the line to show the broader trend. ATR Period : Determines the number of candles considered for volatility calculation. Shorter periods increase sensitivity, while longer periods provide a more stable view of volatility. ATR Multiplier : Sets the distance between the upper/lower bands and the central moving average line. Higher values widen the bands, while lower values bring them closer to price. Smooth Period: Used to smooth data and reduce chart noise. Higher values produce smoother, more consistent indicator lines. Signal Gap : Defines the minimum number of candles required between two consecutive signals. This prevents back-to-back signals from appearing too frequently and ensures only the more reliable ones are shown. 🟣 Display Settings Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference. Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth. Table Mode : This setting offers two layout styles for the signal table : Basic : Mode displays symbols in a single column, using more vertical space. Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view. Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 10 symbol slots comes with a full set of customizable parameters : Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). 🟣 Alert Settings Alert : Enables alerts for AAS. Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'. Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'. 🔵 Conclusion The ICT AI ATR indicator, by combining three core elements Moving Average for trend detection, ATR for volatility measurement and dynamic bands, and Fibonacci levels for price targets—provides a multi-layered and intelligent tool for market analysis. In addition to showing accurate bands directly on the chart, it also offers a multi-symbol dashboard that allows traders to monitor signals across different assets and timeframes in real time. The key advantage of this indicator is that it eliminates the need to use several separate tools by integrating trend, volatility, key levels, and trade signals into one unified framework. For this reason, ICT AI ATR is a reliable and effective choice for both short-term traders seeking quick market moves and long-term traders focused on dynamic support and resistance levels.
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TFlab의
31
Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers. These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment. 🔶 USAGE This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time. Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset. By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500. Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc. 🔹 Densities The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones. Interpretation is subject to the selected "Density Mode". Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers. Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density. 🔹 Dashboard The tool features a dashboard with active tickers and their respective colors for traders' convenience. 🔶 DETAILS 🔹 Densities Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode. The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability. Do note that the smoothing method used here is subject to repainting. 🔶 SETTINGS Lookback: Select the lookback period and enable/disable the Auto Lookback feature Tickers: Enable/disable and select up to 10 tickers and their colors Density Mode: Determine how densities are calculated 🔹 Dashboard Show Dashboard: Enable/disable the dashboard Position: Select the dashboard position Size: Select the dashboard size 🔹 Style Density: Enable/disable the density areas Bullish Density: Select the color of the top density area Bearish Density: Select the color of the bottom density area Smoothing: Select the smoothing constant for the EMA calculation
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LuxAlgo의
5
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator. Essence and logic The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions. Why these components? ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone. Limitations and outlook ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome. Personal note I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here: References CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide. Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber. IntoTheBlock. (2022). Large holders inflow indicator description. Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN. Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
Pine Script® 인디케이터
Robinhodl21의
Major & Modern Wars TimelineDescription: This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts. Features: Displays start (red line + label) and end (green line + label) for each war. Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq). Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War. For ongoing conflicts, the end date is set to 2025 for timeline visualization. Customizable: label position (above/below bar), line width. Works on any chart timeframe, overlaying events on financial data. Use case: Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Pine Script® 인디케이터
dragosmarzac의
The Debasement IndexOVERVIEW The Debasement Index measures asset prices relative to monetary debasement, providing a currency-neutral view of underlying economic fundamentals. Unlike traditional inflation metrics, it captures the sole impact of money supply expansion on asset valuations across different monetary regimes. Key Innovation: Divides any asset by the ratio of Broad Money Supply (M2/M3) to Real GDP, reducing the impact of excess money creation on asset prices. HOW IT WORKS • Input 1: Select any symbol/asset for analysis (default: close price) • Region: Choose country/currency for debasement calculation • Display: Purple line overlay on main chart Formula: Asset Price ÷ Debasement Index i.e. Formula: Asset Price ÷ (Money Supply / Real Output / last result (to rebased the index)) The indicator calculates neutralised security prices for each supported region: • Numerator: M2/M3 money supply data • Denominator: Real GDP (inflation-adjusted economic output) • Number: rebases the index to the last updated value of the selected security Supported Regions: US, UK etc. (regions may change based on availability) DATA SOURCES FRED (Federal Reserve Economic Data), TradingView Economics data feeds INTERPRETATION Rising Ratio: Asset outperforming monetary debasement (genuine value creation) Falling Ratio: Asset underperforming relative to currency dilution (fundamental value loss) Trend Analysis: Long-term slopes reveal whether assets maintain purchasing power against monetary expansion The purple line represents the performance of the selected security after filtering out monetary noise, exposing fundamental economic trends that raw prices often obscure. Take special note that most indices do not provide the total return, and the total return is necessary to understand actual value gains and losses. APPLICATIONS • Asset Allocation: Compare real returns across different monetary environments • Cross-Country Analysis: Evaluate assets in countries with varying monetary policies • Regime Identification: Spot asset price transitions that raw price measurements might obfuscate • Value Assessment: Distinguish between monetary-driven and fundamental price movements THEORETICAL FOUNDATION Inspired by Anna Schwartz's monetary framework, the index attempts to measure currency dilution and remove that impact on the selected asset prices. It is a systematic attempt to filter out ‘monetary noise’ from financial data. The index addresses limitations of traditional inflation measures by: 1. Using real GDP (not nominal) to avoid circular causation of money creation 2. Capturing asset price effects beyond goods and services 3. Providing regime-aware analysis across monetary systems LIMITATIONS • Requires reliable M2/M3 and GDP data (scope and quality vary by country) • Rebasing factors need periodic adjustment • Most effective for medium to long-term analysis • Not suitable for short-term trading signals Note: This indicator reveals trends rather than providing entry/exit signals. Combining debasement-adjusted indices with comprehensive fundamental analysis can reframe and enhance your insights, providing a more complete understanding of price developments over time.
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VinceBuhler의