TLDR: Bitcoin currently holds about 4% of the global $38T store-of-value market. Capturing 17% of the market could push Bitcoin to $1 million per coin. InstitutionalTLDR: Bitcoin currently holds about 4% of the global $38T store-of-value market. Capturing 17% of the market could push Bitcoin to $1 million per coin. Institutional
Bitcoin $1 Million Prediction: Bitwise CIO Matt Hougan Explains the Math
Bu içerikle ilgili geri bildirim veya endişeleriniz için lütfen crypto.news@mexc.com üzerinden bizimle iletişime geçin.
TLDR:
- Bitcoin currently holds about 4% of the global $38T store-of-value market.
- Capturing 17% of the market could push Bitcoin to $1 million per coin.
- Institutional adoption and ETF inflows are boosting Bitcoin’s long-term potential.
- Historical growth in gold shows the store-of-value market could reach $121T in 10 years.
A $1 million price prediction for BTC has resurfaced after Bitwise CIO Matt Hougan published a memo showing how Bitcoin could reach $1M by increasing its share of the growing global store-of-value market, supported by institutional adoption and declining volatility.
Store-of-Value Market Growth Drives Bitcoin Potential
Matt Hougan emphasized that evaluating Bitcoin requires examining the expanding store-of-value market rather than a fixed market size.
Investors often underestimate Bitcoin because they ignore the historical growth of gold, real estate, and other wealth-preservation assets.
In 2004, the total gold market was around $2.5 trillion, with the first U.S. gold ETF marking a milestone for institutional investment.
Over the past two decades, this market has grown to nearly $40 trillion, reflecting sustained expansion and capital inflows.
The growth is supported by rising government debt, loose monetary policies, and persistent geopolitical stress. If these tailwinds continue, the store-of-value market could reach $121 trillion within a decade, increasing the potential for alternative assets like Bitcoin.
Bitcoin currently represents roughly 4% of this market, with approximately $1.4 trillion in capitalization. Hougan calculated that Bitcoin would only need to capture about 17% of the total store-of-value market to reach $1 million per coin.
This shows that long-term projections depend more on market growth than on static valuations.
By viewing Bitcoin in this context, investors can assess potential gains relative to the growth of global wealth preservation assets rather than short-term price fluctuations.
Institutional Adoption Strengthens Market Share
Institutional participation has increased sharply over recent years, according to Hougan. Spot Bitcoin ETFs in the U.S. are now among the fastest-growing ETFs ever, allowing broader institutional exposure through regulated channels and boosting market legitimacy.
Large institutional investors, including Harvard’s endowment and Abu Dhabi’s Mubadala sovereign wealth fund, have added Bitcoin allocations.
Their involvement reflects growing confidence in Bitcoin as a long-term store-of-value asset and validates its market position.
Bitcoin’s long-term volatility has gradually declined, encouraging professional investors to consider higher allocations of around five percent. Previously, recommended allocations were closer to one percent.
Combined with ETF inflows, these factors support Bitcoin’s potential to capture a larger market share and approach the $1 million per coin scenario.
The post Bitcoin $1 Million Prediction: Bitwise CIO Matt Hougan Explains the Math appeared first on Blockonomi.
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Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen crypto.news@mexc.com ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.
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Tether Backs Ark Labs’ $5.2 Million Bet on Bitcoin’s Stablecoin Revival
The post Tether Backs Ark Labs’ $5.2 Million Bet on Bitcoin’s Stablecoin Revival appeared on BitcoinEthereumNews.com. In brief Ark Labs secured backing from Tether
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BitcoinEthereumNews2026/03/12 21:44
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
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
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Hackernoon2025/09/18 14:44
Nvidia shares fall 3%
The post Nvidia shares fall 3% appeared on BitcoinEthereumNews.com. Home » AI » Nvidia shares fall 3% Chipmaker extends decline as investors continue to take profits from recent highs. Photo: Budrul Chukrut/SOPA Images/LightRocket via Getty Images Key Takeaways Nvidia’s stock decreased by 3% today. The decline extends Nvidia’s recent losing streak. Nvidia shares fell 3% today, extending the chipmaker’s recent decline. The stock dropped further during trading as the artificial intelligence chip leader continued its pullback from recent highs. Disclaimer Source: https://cryptobriefing.com/nvidia-shares-fall-2-8/
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BitcoinEthereumNews2025/09/18 03:13