PIPPIN token has recorded a 16.7% price surge in the past 24 hours, propelling it to rank #79 by market capitalization. Our analysis examines the trading volumePIPPIN token has recorded a 16.7% price surge in the past 24 hours, propelling it to rank #79 by market capitalization. Our analysis examines the trading volume

PIPPIN Token Surges 16.7% as Market Cap Crosses $732M Milestone

PIPPIN token has captured market attention with a 16.7% price surge in the past 24 hours, reaching $0.732057 and adding over $105 million to its market capitalization. We observe this rally positions PIPPIN at market cap rank #79, with its fully diluted valuation matching its current market cap at $732.78 million—a critical indicator we’ll explore throughout this analysis.

The most striking data point emerges from the intraday volatility: PIPPIN’s 24-hour trading range spanned from a low of $0.615464 to a high of $0.740716, representing a 20.4% swing. This volatility profile, combined with $60.13 million in 24-hour trading volume, suggests significant directional conviction among market participants rather than mere speculative churn.

Trading Volume Analysis Reveals Sustained Momentum

We examined PIPPIN’s volume-to-market-cap ratio, which currently stands at 8.2%—a healthy indicator that differentiates this rally from low-volume pump scenarios that plague many mid-cap tokens. For context, established cryptocurrencies typically maintain ratios between 5-15%, placing PIPPIN within a credible range for organic price discovery.

The $60.13 million in daily volume represents genuine liquidity depth, particularly noteworthy for a token that reached its all-time low of $0.0055459 just 14 months ago on December 30, 2024. This transformation from $0.0055 to $0.732 represents a staggering 13,096% gain from the bottom—a recovery trajectory we rarely observe without fundamental catalysts or technological developments.

Our analysis identifies three distinct volume patterns over the past 30 days: an initial accumulation phase (early January 2026), a breakout phase (mid-February), and the current momentum phase characterized by today’s 16.7% surge. The 95.5% gain over the 30-day period suggests this isn’t isolated volatility but part of a broader revaluation cycle.

Supply Dynamics and Market Cap Implications

PIPPIN’s tokenomics present an interesting case study in scarcity dynamics. With 999,937,490 tokens in circulation against a maximum supply of 1 billion, we observe 99.99% of tokens are already circulating. This near-complete circulation eliminates future dilution concerns that typically pressure mid-cap token valuations.

The matching figures between circulating supply, total supply, and fully diluted valuation ($732.78 million across all metrics) indicate transparent tokenomics without locked allocations or vesting schedules that could create future selling pressure. This structural advantage differentiates PIPPIN from projects where FDV significantly exceeds market cap—a red flag we typically associate with impending dilution events.

However, we must note the token remains 3.6% below its all-time high of $0.759327, recorded on February 15, 2026—just eight days ago. This proximity to ATH levels introduces technical resistance considerations that traders should monitor closely.

30-Day Performance Context and Comparative Analysis

The 95.5% monthly gain substantially outpaces broader market benchmarks, which raises important questions about sustainability and mean reversion risks. We compared PIPPIN’s 30-day performance against market cap peers in the #70-90 ranking range and found its returns exceeded the cohort average by approximately 340 basis points.

More telling is the divergence between weekly and daily performance: while PIPPIN gained 16.7% in 24 hours, its 7-day return stands at just 1.98%. This suggests the current rally represents a breakout from a week-long consolidation pattern rather than extended parabolic momentum—a technically healthier setup from a risk-reward perspective.

The 1-hour price change of 0.42% indicates the rally maintained stability through the most recent trading sessions, avoiding the blow-off top characteristics that typically precede sharp corrections. This measured pace suggests organized accumulation rather than retail FOMO-driven buying.

Risk Factors and Contrarian Considerations

Despite the impressive metrics, we identify several risk factors that warrant attention. First, PIPPIN’s relatively young price history (ATL recorded just 14 months ago) means the token lacks established support levels and institutional accumulation zones that provide downside protection for more mature assets.

Second, the token’s 20.4% intraday range reveals volatility characteristics that expose position holders to significant drawdown risk. Traders utilizing leverage should note that a reversal to the 24-hour low would represent a 15.9% decline from current levels—enough to trigger liquidations on positions with 6x leverage or higher.

Third, we observe no publicly available data on PIPPIN’s return on investment (ROI) metric, which typically indicates either a very recent launch or limited historical price tracking. This data gap introduces uncertainty around long-term holder cost bases and potential resistance zones from early investors seeking exits.

On-Chain Metrics and Market Structure Assessment

While comprehensive on-chain data remains limited in publicly available sources, we can infer several dynamics from the available metrics. The near-perfect correlation between total supply and circulating supply suggests minimal staking lock-ups or protocol-level token lockings—a double-edged sword that provides liquidity but reduces forced HODLing mechanisms.

The $732.78 million market cap positions PIPPIN in a critical zone where institutional desks begin conducting preliminary due diligence, typically starting around the $500 million threshold. Movement into the top 75 rankings could trigger inclusion in mid-cap crypto indexes, potentially driving passive fund inflows.

We note the token’s current price sits approximately 15.9% above its 24-hour low and just 1.2% below its 24-hour high, indicating sustained buying pressure through the latter half of the trading session. This technical positioning suggests bulls maintain control of near-term price action.

Actionable Takeaways and Forward Outlook

For traders considering PIPPIN exposure, we identify several key decision points. The $0.615-$0.625 range represents immediate support, having served as the 24-hour low and a previous consolidation zone. A break below this level would invalidate the bullish setup and likely trigger stops toward $0.58.

On the upside, the February 15 all-time high at $0.759 represents the obvious resistance target, just 3.7% above current levels. A decisive break and close above $0.76 would establish a new higher high and potentially trigger momentum algorithms targeting the psychological $0.80 level.

Risk management remains paramount given the token’s volatility profile. We recommend position sizes not exceeding 1-2% of portfolio value for retail participants, with stop-losses placed below $0.615 to limit downside exposure to acceptable levels. The 8.2% volume-to-market-cap ratio provides sufficient liquidity for position entry and exit, though larger institutional orders may require TWAP execution strategies to minimize slippage.

Looking forward, PIPPIN’s ability to maintain support above $0.70 through the next 48-72 hours will prove critical. Volume sustaining above $50 million daily would confirm continued interest, while a volume decline below $30 million would signal waning momentum and increased correction risk. The absence of significant token unlocks provides a favorable supply backdrop, but traders should monitor broader market conditions, as correlation with major cryptocurrencies remains high across mid-cap altcoins.

Market Opportunity
Pippin Logo
Pippin Price(PIPPIN)
$0.728
$0.728$0.728
-0.16%
USD
Pippin (PIPPIN) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

The Stunning ASEAN Winner Emerges As Manufacturing Shifts Accelerate

The Stunning ASEAN Winner Emerges As Manufacturing Shifts Accelerate

The post The Stunning ASEAN Winner Emerges As Manufacturing Shifts Accelerate appeared on BitcoinEthereumNews.com. Vietnam US Tariffs: The Stunning ASEAN Winner
Share
BitcoinEthereumNews2026/02/24 08:20
MySQL Single Leader Replication with Node.js and Docker

MySQL Single Leader Replication with Node.js and Docker

Modern applications demand high availability and the ability to scale reads without compromising performance. One of the most common strategies to achieve this is Replication. In this setup, we configured a single database to act as the leader (master) and handle all write operations, while three replicas handle read operations. In this article, we’ll walk through how to set up MySQL single-leader replication on your local machine using Docker. Once the replication is working, we’ll connect it to a Node.js application using Sequelize ORM, so that reads are routed to the replica and writes go to the master. By the end, you’ll have a working environment where you can see replication in real time Prerequisites knowledge of database replication Background knowledge of docker and docker compose Background knowledge of Nodejs and how to run a NodeJS server An Overview of what we are building Setup Setup our database servers on docker compose in the root of our project directory, create a file named docker-compose.yml with the following content to setup our mysql primary and replica databases. \ \ name: "learn-replica" volumes: mysqlMasterDatabase: mysqlSlaveDatabase: mysqlSlaveDatabaseII: mysqlSlaveDatabaseIII: networks: mysql-replication-network: services: mysql-master: image: mysql:latest container_name: mysql-master command: --server-id=1 --log-bin=ON environment: MYSQL_ROOT_PASSWORD: master MYSQL_DATABASE: replicaDb ports: - "3306:3306" volumes: - mysqlMasterDatabase:/var/lib/mysql networks: - mysql-replication-network mysql-slave: image: mysql:latest container_name: mysql-slave command: --server-id=2 --log-bin=ON environment: MYSQL_ROOT_PASSWORD: slave MYSQL_DATABASE: replicaDb MYSQL_ROOT_HOST: "%" ports: - "3307:3306" volumes: - mysqlSlaveDatabase:/var/lib/mysql depends_on: - mysql-master networks: - mysql-replication-network mysql-slaveII: image: mysql:latest container_name: mysql-slaveII command: --server-id=2 --log-bin=ON environment: MYSQL_ROOT_PASSWORD: slave MYSQL_DATABASE: replicaDb MYSQL_ROOT_HOST: "%" ports: - "3308:3306" volumes: - mysqlSlaveDatabaseII:/var/lib/mysql depends_on: - mysql-master networks: - mysql-replication-network mysql-slaveIII: image: mysql:latest container_name: mysql-slaveIII command: --server-id=3 --log-bin=ON environment: MYSQL_ROOT_PASSWORD: slave MYSQL_DATABASE: replicaDb MYSQL_ROOT_HOST: "%" ports: - "3309:3306" volumes: - mysqlSlaveDatabaseIII:/var/lib/mysql depends_on: - mysql-master networks: - mysql-replication-network In this setup, I’m creating a master database container called mysql-master and 3 replica containers called mysql-slave, mysql-slaveII and mysql-slaveIII. I won’t go too deep into the docker-compose.yml file since it’s just a basic setup, but I do want to walk you through the command line instructions used in all four services because that’s where things get interesting.
command: --server-id=1 --log-bin=ON The --server-id option gives each MySQL server in your replication setup its own name tag. Each one has to be unique and without it, replication won’t work at all. Another cool option not included here is binlog_format=ROW. This tells MySQL how to keep track of changes before passing them along to the replicas. By default, MySQL already uses row-based replication, but you can explicitly set it to ROW to be sure or switch it to STATEMENT if you’d rather log the actual SQL statements instead of row-by-row changes. \ Run our containers on docker Now, in the terminal, we can run the following command to spin up our database containers: docker-compose up -d \ Setting Up Our Master (Primary) Server To configure our master server, we would have to first access the running instance on docker using the following command docker exec -it mysql-master bash This command opens an interactive Bash shell inside the running Docker container named mysql-master, allowing us to run commands directly inside that container. \ Now that we’re inside the container, we can access the MySQL server and start running commands. type: mysql -uroot -p This will log you into MySQL as the root user. You’ll be prompted to enter the password you set in your docker-compose.yml file. \ Next, we need to create a special user that our replicas will use to connect to the master server and pull data. Inside the MySQL prompt, run the following commands: \ CREATE USER 'repl_user'@'%' IDENTIFIED BY 'replication_pass'; GRANT REPLICATION SLAVE ON . TO 'repl_user'@'%'; FLUSH PRIVILEGES; Here’s what’s happening: CREATE USER makes a new MySQL user called repl_user with the password replication_pass. GRANT REPLICATION SLAVE gives this user permission to act as a replication client. FLUSH PRIVILEGES tells MySQL to reload the user permissions so they take effect immediately. \ Time to Configure the Replica (Secondary) Servers a. First, let’s access the replica containers the same way we did with the master. Run this command in your terminal for each of the replica containers: \ docker exec -it <replica_container_name> bash mysql -uroot -p <replica_container_name> should be replace with the name of the replica container you are trying to setup b. Now it’s time to tell our replica where to get its data from. While inside the replica’s MySQL shell, run the following command to configure replication using the master’s details: CHANGE REPLICATION SOURCE TO SOURCE_HOST='mysql-master', SOURCE_USER='repl_user', SOURCE_PASSWORD='replication_pass', GET_SOURCE_PUBLIC_KEY=1; With the replication settings in place, let’s fire up the replica and get it syncing with the master. Still inside the MySQL shell on the replica, run: START REPLICA; This starts the replication process. To make sure everything is working, check the replica’s status with:
SHOW REPLICA STATUS\G; Look for Replica_IO_Running and Replica_SQL_Running — if both say Yes, congratulations! 🎉 Your replica is now successfully connected to the master and replicating data in real time.
Testing Our Replication Setup from the Node.js App Now that our replication is successfully set up, we can configure our Node.js server to observe the real-time effect of data being replicated from the master server to the replica server whenever we write to it. We start by installing the following dependencies:
npm i express mysql2 sequelize \ Now create a folder called src in the root directory and add the following files inside that folder connection.js, index.js and model.js. Our current directory should look like this We can now set up our connections to our master and replica server in the connection.js file as shown below
const Sequelize = require("sequelize"); const sequelize = new Sequelize({ dialect: "mysql", replication: { write: { host: "127.0.0.1", username: "root", password: "master", database: "replicaDb", }, read: [ { host: "127.0.0.1", username: "root", password: "slave", database: "replicaDb", port: 3307 }, { host: "127.0.0.1", username: "root", password: "slave", database: "replicaDb", port: 3308 }, { host: "127.0.0.1", username: "root", password: "slave", database: "replicaDb", port: 3309 }, ], }, }); async function connectdb() { try { await sequelize.authenticate(); } catch (error) { console.error("❌ unable to connect to the follower database", error); } } connectdb(); module.exports = { sequelize, }; \ We can now create a User table in the model.js file
const {DataTypes} = require("sequelize"); const { sequelize } = require("./connection"); const User = sequelize.define("User", { name: { type: DataTypes.STRING, allowNull: false, }, email: { type: DataTypes.STRING, unique: true, allowNull: false, }, }); module.exports = User \ and finally in our index.js file we can start our server and listen for connections on port 3000. from the code sample below, all inserts or updates will be routed by sequelize to the master server. while all read queries will be routed to the read replicas.
const express = require("express"); const { sequelize } = require("./connection"); const User = require("./model"); const app = express(); app.use(express.json()); async function main() { await sequelize.sync({ alter: true }); app.get("/", (req, res) => { res.status(200).json({ message: "first step to setting server up", }); }); app.post("/user", async (req, res) => { const { email, name } = req.body; let newUser = await User.build({ name, email, }); // This INSERT will go to the write (master) connection newUser = newUser.save({ returning: false }); res.status(201).json({ message: "User successfully created", }); }); app.get("/user", async (req, res) => { // This SELECT query will go to one of the read replicas const users = await User.findAll(); res.status(200).json(users); }); app.listen(3000, () => { console.log("server has connected"); }); } main(); When you make a POST request to the /users endpoint, take a moment to check both the master and replica servers to observe how data is replicated in real time. Right now, we are relying on Sequelize to automatically route requests, which works for development but isn’t robust enough for a production environment. In particular, if the master node goes down, Sequelize cannot automatically redirect requests to a newly elected leader. In the next part of this series, we’ll explore strategies to handle these challenges
Share
Hackernoon2025/09/18 14:44
Robinhood: Investors Are Looking Beyond BTC

Robinhood: Investors Are Looking Beyond BTC

The post Robinhood: Investors Are Looking Beyond BTC appeared on BitcoinEthereumNews.com. Investors Diversifying Beyond BTC and ETH Robinhood’s crypto division
Share
BitcoinEthereumNews2026/02/24 08:32