Market-cap

Stablecoin Liquidity Pulse Map [AGPro Series]Stablecoin Liquidity Pulse Map 🧠 Core Idea Is stablecoin liquidity expanding into the market, parking defensively on the sidelines, or drying up before risk appetite weakens? 📌 Overview / What it does Stablecoin Liquidity Pulse Map is a crypto market-context tool that maps stablecoin liquidity flow, stablecoin dominance pressure, and risk-appetite behavior into a clean visual pulse framework. The script reads USDT and USDC market-cap sources, optionally includes DAI, compares stablecoin flow against broader crypto market-cap context, and converts those inputs into liquidity pulse states. It produces a right-side liquidity pulse ribbon, pulse tracks, selective event labels, optional compact markers, and an AG Pro dashboard panel. It does not predict price, automate trades, or claim that stablecoin growth must immediately create a bullish market. 🎯 Purpose & Design Philosophy Stablecoins are one of the most important liquidity layers in crypto. When stablecoin supply expands, capital may be entering or preparing to rotate. When stablecoin dominance rises while price weakens, capital may be parking defensively. When stablecoin flow contracts, risk liquidity can become thinner. This script was built to turn that macro liquidity layer into a practical chart-reading tool without pretending that liquidity alone is a complete trading system. ⚡ Why This Script Is Different Most tools focus on price, trend, volatility, or exchange-specific derivatives data. This script does NOT focus on funding, open interest, basis, leverage reset, liquidation levels, or ordinary trend signals. Instead, it studies the stablecoin liquidity layer behind the market. It asks whether stablecoin flow, dominance pressure, and price behavior are aligned with expansion, defensive parking, dry liquidity, or early rotation. ⚙️ Methodology 1. Stablecoin Flow Detection The script reads USDT and USDC market-cap data, with optional DAI inclusion. 2. Dominance Pressure Mapping It compares stablecoin value against total crypto market-cap context when available. 3. Risk-Appetite Evaluation It evaluates whether price is behaving constructively or defensively relative to a baseline. 4. Pulse Classification The script combines flow, velocity, dominance pressure, parking risk, dry-liquidity behavior, and rotation context into a single liquidity pulse state. 🗺️ How to Read the Chart The right-side pulse ribbon is the main visual object. The center ribbon shows the active liquidity pulse state. The upper ribbon tracks stablecoin flow and expansion pressure. The lower ribbon helps identify parking or dry-liquidity pressure. The vertical needle shows where the current pulse sits inside the active liquidity range. Event labels identify important state changes such as Liquidity Inflow, Risk-Off Parking, Dry Liquidity, or Rotation Ready. The panel summarizes state, pulse, stable flow, velocity, dominance, dominance change, direction, grade, risk parking, dry score, and data-source availability. 🚦 Signals & States • Liquidity Expansion → stablecoin flow is improving while dominance pressure is not defensive • Risk-Off Parking → stablecoin dominance pressure is rising while market appetite weakens • Dry Liquidity → stablecoin flow is contracting and liquidity conditions may be thinner • Rotation Ready → stablecoin flow improves while market behavior begins to recover • Neutral Pulse → no strong stablecoin liquidity state is active • Data Missing → selected stablecoin sources are unavailable 🔔 Alerts Logic Alerts can be enabled for Liquidity Expansion, Risk-Off Parking, Dry Liquidity, and Rotation Ready. Each alert triggers when the selected state becomes active. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The strongest reads happen when stablecoin flow, velocity, dominance behavior, and price context align. For example, rising stablecoin flow with falling defensive dominance pressure can support a constructive liquidity read. Rising stablecoin dominance while price weakens can suggest defensive parking rather than active risk appetite. 📊 When to Use • Crypto market-cycle analysis • BTC and ETH context checks • Stablecoin liquidity monitoring • Risk-on / risk-off environment review • Macro crypto liquidity dashboards • 1D and 1W chart analysis ⚠️ When NOT to Use • Very low liquidity altcoins as the only decision source • Symbols where stablecoin market-cap data does not load • Extremely noisy intraday charts • Situations requiring exact exchange order flow • Any workflow that expects a standalone buy/sell signal 🎛️ Key Inputs • USDT Market Cap Symbol → primary stablecoin source • USDC Market Cap Symbol → secondary stablecoin source • Include DAI Source → optional additional stablecoin component • Total Crypto Market Cap Symbol → used for dominance pressure • Liquidity Flow Length → controls stablecoin flow measurement • Pulse Baseline Length → controls slower liquidity and trend context • Inflow / Outflow Thresholds → control state sensitivity • Dominance Pressure Threshold → controls risk-off parking sensitivity • Visual settings → control ribbon, event labels, tracks, markers, panel, and font sizes 🖥️ Interface & Visual Design The design is intentionally different from derivatives-focused maps. It avoids large projected zones, liquidation paths, reset ladders, and basis meters. The right-side pulse ribbon keeps the visual focused on liquidity context rather than exact price levels. Colors remain visible on both dark and white chart backgrounds, and the panel follows the AG Pro merged-header format. 🧪 Practical Usage Workflow 1. Read the panel state first. 2. Confirm USDT and USDC sources are active. 3. Check stable flow and dominance change. 4. Review the right-side pulse ribbon. 5. Compare the state with price structure and broader market trend. 6. Use alerts as attention markers, not trade instructions. 🔍 Interpretation Guidelines Liquidity Expansion does not guarantee upside. Risk-Off Parking does not guarantee downside. Dry Liquidity does not guarantee immediate volatility. Rotation Ready means conditions are improving, not that a rotation must occur. Use the script as a market-context layer alongside structure, trend, volatility, and disciplined risk management. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It is not an exact order-flow tool. It does not guarantee market direction. ⚠️ Limitations & Transparency Stablecoin market-cap symbols depend on PulseWire data availability. Total crypto market-cap data may not be available in every environment. Stablecoin supply changes can lag market behavior. Different timeframes can produce different interpretations. Extreme events, exchange stress, depegs, or abnormal data conditions can affect readings. 🧠 Market Context Notes Stablecoin liquidity is not automatically bullish or bearish. The meaning depends on context. Stablecoins can represent incoming buying power, defensive parking, cash rotation, or liquidity withdrawal. This script focuses on interpreting that context more clearly. 🧾 Use Case Examples When stablecoin flow rises and defensive dominance pressure is low, the script may show Liquidity Expansion. When stablecoin dominance rises while price weakens, it may show Risk-Off Parking. When stablecoin flow contracts and market appetite is weak, it may show Dry Liquidity. When stablecoin flow improves with early market recovery, it may show Rotation Ready. 🧱 System Philosophy AGProLabs scripts are built as structured decision-support tools. The goal is to make hidden market context easier to read, not to replace judgment with certainty. 🔐 Non-Promise Statement No liquidity model can remove uncertainty. No state should be treated as certainty. No visual element should replace trader judgment. 📉 Risk Disclosure Trading involves risk. Crypto markets can be highly volatile and liquidity conditions can change quickly. This script is for educational and analytical purposes only. Nothing in this script should be interpreted as financial advice, investment advice, or a guaranteed trading outcome. Users remain fully responsible for their own decisions. 📚 Educational Note Use this script to study how stablecoin supply, stablecoin dominance, and risk appetite interact across crypto market cycles.

Indicator

Stock Data Table █ OVERVIEW This is a table that shows some information about stocks. It is divided into four sections: 1) Correlation 2) Shares 3) Daily Data 4) Extended Session Data The table is completely modular, which means you can add or remove each element from the settings menu, and it will automatically rearrange its spaces. It is also highly customizable, to the extent that you can change almost any color, remove or change titles, invert section rows, and much more. 1) Correlation The script checks if the stock is listed on NASDAQ, and if so, uses the QQQ (Nasdaq-100 ETF) as the reference index in the first cell; otherwise, it uses the SPY (S&P 500 ETF). The length of the correlation is shown in the second cell. The table then displays the correlation between the reference index and the other index, and the correlation between the reference index and the stock. To make it easier to interpret the correlation values, each row's last cell is color-coded with a gradient to highlight the type of correlation, and the direction of the gradient can be customized. The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, indicating how changes in one variable are associated with changes in the other variable, so it can be used to identify patterns and trends. If you are interested in correlation, I suggest taking a look at my dedicated indicator: 2) Shares This feature provides you with quick access to key information about shares and market capitalization. On one row, you can view the total shares outstanding and the market capitalization for the fiscal year or the quarterly year. The total shares outstanding represents the total number of shares of the stock that have been issued and are currently outstanding, regardless of whether they are held by insiders or public investors. The market capitalization is a widely used measure of the company's value as determined by the stock market, calculated by multiplying its current stock price with the total number of outstanding shares. The other row shows the float, which is the number of shares of a company that are available for public trading, and the corresponding free-float market cap, calculated by multiplying the company's current stock price with the float. Because Pine Script does not allow retrieving information about quarterly year float, you can view the float and the free-float market cap of the fiscal year only. The data can be displayed at all times or only when the difference between the total shares outstanding and the float is significant enough to result in a difference between the market cap and free-float market cap. The classification for market cap and free-float market cap is set in this way: Mega Cap: $200 billion or more Large Cap: between $10 billion and $200 billion Mid Cap: between $2 billion and $10 billion Small Cap: between $300 million and $2 billion Micro Cap: less than $300 million Penny Stocks: less than $5 (customizable) Comparing the free-float market cap to the market cap can provide insights into the liquidity of a stock. In fact, if the float is relatively small compared to the total shares outstanding, it may be more difficult to find buyers or sellers, which could lead to increased volatility. On the other hand, a larger float indicates that the stock is more liquid and may be easier to trade, potentially resulting in lower volatility. However, market conditions can change quickly and significantly, especially for intraday traders, and the free-float can also change as insiders or other large shareholders buy or sell shares. Therefore, comparing the data of the fiscal year with that of the quarterly year may not provide the most up-to-date and accurate information for making trading decisions. This limitation can be mitigated by combining those data with other indicators and tools, such as technical analysis or news events, to gain a better understand of the stock's performance and potential trading opportunities. 3) Daily Data This section is available on daily charts only due to the lack of accuracy of real-time daily data on other time frames. Here, you can view the Average Daily Volume (ADV) over a preferred time range (20 days by default), and the Daily Change, which represents the percentage difference between the closing price on two consecutive trading days. ADV is useful in measuring the stock's volatility, as it provides an indication of how much trading activity there is in it. Generally speaking, stocks with higher trading volume tend to be less volatile than stocks with lower trading volume. High trading volume means there are more buyers and sellers actively trading the stock, which makes it easier for investors to buy and sell shares at fair prices. This increased liquidity can help to stabilize the stock price, reducing the potential for large swings in either direction. On the other hand, stocks with lower trading volume may experience greater volatility, as there are fewer buyers and sellers actively trading the stock. This can result in larger price swings, as it may be more difficult for investors to buy or sell shares at fair prices. The daily percentage change can provide an indication of the stock's volatility, with larger values indicating greater volatility and risk. It can also be compared to that of a benchmark such an index or other stocks in the same sector, helping to determine whether the stock is outperforming or underperforming relative to them. 4) Extended Session Data The fourth section is available on intraday charts only. This section provides two pieces of information: the Extended Session Change and the Pre-Market Volume. The Extended Session Change indicates the percentage difference between the previous day's closing price and the latest price in the extended session. This gives you the extent and the direction of the price gap that occurred during extended trading hours. The Pre-Market Volume shows the sum of all shares traded during the pre-market session. This can be helpful in understanding how much interest the stock gained before the market opened. By default, the two rows will be visible at all times. They will stop updating after the end of their respective time range, and resume updating when it starts again. However, you can choose to automatically hide them outside of their time ranges. Both the extended session and pre-market time ranges can be customized. Please note that if you select time ranges outside of the regular market session (as set by default), you must enable the extended session to view the corresponding rows. █ GENERAL NOTES • Total Shares Outstanding, Float, Average Daily Volume and Pre-Market Volume cells use a customizable color system based on two thresholds, to help you quickly identify whether the value is "too low/acceptable/too high" or "too low/not enough high/acceptable". • If you cannot see certain data, that simply means it is not available.

Indicator

In-depth global business and economic analysis Comprehensive trading education and market insights