diff --git a/config.py b/config.py
index 522012e..11dbeba 100644
--- a/config.py
+++ b/config.py
@@ -213,3 +213,21 @@ WECHAT_CONFIG = {
 }
 
 ITICK_API_KEY = "dfd4bc0caed148d6bc03b960224754ffb5356349e389431f828702b3a27e8a2b"
+
+TWITTER_CONFIG = {
+    "keys": {
+        "api_key": "c3l344o8pgVwy7Aw4yxj7CprT",
+        "api_secret": "xjh3RVyyhVr9aDVSq5fFq210R1fmwYt36myBZR7ifuv0wYRWcT",
+        "bearer_token": "AAAAAAAAAAAAAAAAAAAAAPoL4wEAAAAAXEMHlBpeR66dtTYWBkFSz1Fp3oI%3DHMoLlCMKNRGr1h6c0lBpZnJulx88fQ0JzZE1zm4jI4qNfSxiRZ",
+        "access_token": "1658642847975784449-MR79EAOk8MTKx3zIbCEySaQjxDPK3R",
+        "access_token_secret": "2H9RwHzBrWhAbt7RUmGHSg6mcfJEf0Aesx74QFFMeMYMn"
+        },
+    "user_search_url": "https://api.twitter.com/2/users/by/username/{0}",
+    "contents_search_url": "https://api.twitter.com/2/users/{0}/tweets?max_results=100&tweet.fields=text,created_at&exclude=replies,retweets",
+    "monitor_accounts": [
+        "FoxNews",
+        "WhiteHouse",
+        "sama",
+        "PressSec",
+    ],
+}
diff --git a/core/db/db_twitter_content.py b/core/db/db_twitter_content.py
new file mode 100644
index 0000000..574546c
--- /dev/null
+++ b/core/db/db_twitter_content.py
@@ -0,0 +1,290 @@
+import pandas as pd
+import core.logger as logging
+from core.db.db_manager import DBData
+from core.utils import get_current_date_time
+
+logger = logging.logger
+
+
+class DBTwitterContent:
+    def __init__(self, db_url: str):
+        self.db_url = db_url
+        self.table_name = "twitter_content"
+        self.columns = [
+            "user_id",
+            "user_name", 
+            "timestamp",
+            "date_time",
+            "text"
+        ]
+        self.db_manager = DBData(db_url, self.table_name, self.columns)
+
+    def insert_data_to_mysql(self, df: pd.DataFrame):
+        """
+        将Twitter内容数据保存到MySQL的twitter_content表
+        速度：⭐⭐⭐⭐⭐ 最快
+        内存：⭐⭐⭐⭐ 中等
+        适用场景：中小数据量（<10万条）
+        :param df: Twitter内容数据DataFrame
+        """
+        if df is None or df.empty:
+            logger.warning("DataFrame为空，无需写入数据库。")
+            return
+
+        self.db_manager.insert_data_to_mysql(df)
+
+    def insert_data_to_mysql_fast(self, df: pd.DataFrame):
+        """
+        快速插入Twitter内容数据（方案2：使用executemany批量插入）
+        速度：⭐⭐⭐⭐ 很快
+        内存：⭐⭐⭐⭐⭐ 低
+        适用场景：中等数据量
+        :param df: Twitter内容数据DataFrame
+        """
+        if df is None or df.empty:
+            logger.warning("DataFrame为空，无需写入数据库。")
+            return
+
+        self.db_manager.insert_data_to_mysql_fast(df)
+
+    def insert_data_to_mysql_chunk(self, df: pd.DataFrame, chunk_size: int = 1000):
+        """
+        分块插入Twitter内容数据（方案3：适合大数据量）
+        速度：⭐⭐⭐ 中等
+        内存：⭐⭐⭐⭐⭐ 最低
+        适用场景：大数据量（>10万条）
+        :param df: Twitter内容数据DataFrame
+        :param chunk_size: 分块大小
+        """
+        if df is None or df.empty:
+            logger.warning("DataFrame为空，无需写入数据库。")
+            return
+
+        self.db_manager.insert_data_to_mysql_chunk(df, chunk_size)
+
+    def insert_data_to_mysql_simple(self, df: pd.DataFrame):
+        """
+        简单插入Twitter内容数据（方案4：直接使用to_sql，忽略重复）
+        速度：⭐⭐⭐⭐⭐ 最快
+        内存：⭐⭐⭐⭐ 中等
+        注意：会抛出重复键错误，需要额外处理
+        """
+        if df is None or df.empty:
+            logger.warning("DataFrame为空，无需写入数据库。")
+            return
+
+        self.db_manager.insert_data_to_mysql_simple(df)
+
+    def query_latest_data(self, user_id: str = None):
+        """
+        查询最新数据
+        :param user_id: 用户ID，如果为None则查询所有用户的最新数据
+        """
+        if user_id:
+            sql = """
+            SELECT * FROM twitter_content
+            WHERE user_id = :user_id
+            ORDER BY timestamp DESC
+            LIMIT 1
+            """
+            condition_dict = {"user_id": user_id}
+        else:
+            sql = """
+            SELECT * FROM twitter_content
+            ORDER BY timestamp DESC
+            LIMIT 1
+            """
+            condition_dict = {}
+        
+        return self.db_manager.query_data(sql, condition_dict, return_multi=False)
+
+    def query_data_by_user_id(self, user_id: str, limit: int = 100):
+        """
+        根据用户ID查询数据
+        :param user_id: 用户ID
+        :param limit: 查询数量
+        """
+        sql = """
+        SELECT * FROM twitter_content
+        WHERE user_id = :user_id
+        ORDER BY timestamp DESC
+        LIMIT :limit
+        """
+        condition_dict = {"user_id": user_id, "limit": limit}
+        return self.db_manager.query_data(sql, condition_dict, return_multi=True)
+
+    def query_data_by_timestamp_range(
+        self, 
+        start_timestamp: int = None, 
+        end_timestamp: int = None, 
+        user_id: str = None,
+        limit: int = 1000
+    ):
+        """
+        根据时间戳范围查询数据
+        :param start_timestamp: 开始时间戳
+        :param end_timestamp: 结束时间戳
+        :param user_id: 用户ID，可选
+        :param limit: 查询数量
+        """
+        conditions = []
+        condition_dict = {"limit": limit}
+        
+        if start_timestamp:
+            conditions.append("timestamp >= :start_timestamp")
+            condition_dict["start_timestamp"] = start_timestamp
+            
+        if end_timestamp:
+            conditions.append("timestamp <= :end_timestamp")
+            condition_dict["end_timestamp"] = end_timestamp
+            
+        if user_id:
+            conditions.append("user_id = :user_id")
+            condition_dict["user_id"] = user_id
+        
+        where_clause = " AND ".join(conditions) if conditions else "1=1"
+        
+        sql = f"""
+        SELECT * FROM twitter_content
+        WHERE {where_clause}
+        ORDER BY timestamp DESC
+        LIMIT :limit
+        """
+        
+        return self.db_manager.query_data(sql, condition_dict, return_multi=True)
+
+    def query_data_by_text_search(
+        self, 
+        search_text: str, 
+        user_id: str = None,
+        limit: int = 100
+    ):
+        """
+        根据文本内容搜索数据
+        :param search_text: 搜索文本
+        :param user_id: 用户ID，可选
+        :param limit: 查询数量
+        """
+        conditions = ["text LIKE :search_text"]
+        condition_dict = {
+            "search_text": f"%{search_text}%",
+            "limit": limit
+        }
+        
+        if user_id:
+            conditions.append("user_id = :user_id")
+            condition_dict["user_id"] = user_id
+        
+        where_clause = " AND ".join(conditions)
+        
+        sql = f"""
+        SELECT * FROM twitter_content
+        WHERE {where_clause}
+        ORDER BY timestamp DESC
+        LIMIT :limit
+        """
+        
+        return self.db_manager.query_data(sql, condition_dict, return_multi=True)
+
+    def query_data_by_date_range(
+        self,
+        start_date: str = None,
+        end_date: str = None,
+        user_id: str = None,
+        limit: int = 1000
+    ):
+        """
+        根据日期范围查询数据
+        :param start_date: 开始日期 (YYYY-MM-DD)
+        :param end_date: 结束日期 (YYYY-MM-DD)
+        :param user_id: 用户ID，可选
+        :param limit: 查询数量
+        """
+        conditions = []
+        condition_dict = {"limit": limit}
+        
+        if start_date:
+            conditions.append("date_time >= :start_date")
+            condition_dict["start_date"] = start_date
+            
+        if end_date:
+            conditions.append("date_time <= :end_date")
+            condition_dict["end_date"] = end_date
+            
+        if user_id:
+            conditions.append("user_id = :user_id")
+            condition_dict["user_id"] = user_id
+        
+        where_clause = " AND ".join(conditions) if conditions else "1=1"
+        
+        sql = f"""
+        SELECT * FROM twitter_content
+        WHERE {where_clause}
+        ORDER BY timestamp DESC
+        LIMIT :limit
+        """
+        
+        return self.db_manager.query_data(sql, condition_dict, return_multi=True)
+
+    def get_user_list(self, limit: int = 100):
+        """
+        获取用户列表
+        :param limit: 查询数量
+        """
+        sql = """
+        SELECT DISTINCT user_id, user_name, 
+               COUNT(*) as tweet_count,
+               MAX(timestamp) as last_tweet_time
+        FROM twitter_content
+        GROUP BY user_id, user_name
+        ORDER BY last_tweet_time DESC
+        LIMIT :limit
+        """
+        condition_dict = {"limit": limit}
+        return self.db_manager.query_data(sql, condition_dict, return_multi=True)
+
+    def get_statistics(self):
+        """
+        获取统计信息
+        """
+        sql = """
+        SELECT 
+            COUNT(*) as total_tweets,
+            COUNT(DISTINCT user_id) as total_users,
+            MIN(timestamp) as earliest_tweet,
+            MAX(timestamp) as latest_tweet,
+            AVG(LENGTH(text)) as avg_text_length
+        FROM twitter_content
+        """
+        return self.db_manager.query_data(sql, {}, return_multi=False)
+
+    def delete_old_data(self, days: int = 30):
+        """
+        删除指定天数前的旧数据
+        :param days: 保留天数
+        """
+        current_time = get_current_date_time()
+        cutoff_timestamp = int(pd.Timestamp(current_time).timestamp()) - (days * 24 * 60 * 60)
+        
+        sql = """
+        DELETE FROM twitter_content
+        WHERE timestamp < :cutoff_timestamp
+        """
+        condition_dict = {"cutoff_timestamp": cutoff_timestamp}
+        
+        return self.db_manager.execute_sql(sql, condition_dict)
+
+    def check_duplicate(self, user_id: str, timestamp: int):
+        """
+        检查是否存在重复数据
+        :param user_id: 用户ID
+        :param timestamp: 时间戳
+        """
+        sql = """
+        SELECT COUNT(*) as count
+        FROM twitter_content
+        WHERE user_id = :user_id AND timestamp = :timestamp
+        """
+        condition_dict = {"user_id": user_id, "timestamp": timestamp}
+        result = self.db_manager.query_data(sql, condition_dict, return_multi=False)
+        return result['count'] > 0 if result else False
diff --git a/core/twitter/__pycache__/twitter_retriever.cpython-312.pyc b/core/twitter/__pycache__/twitter_retriever.cpython-312.pyc
new file mode 100644
index 0000000..8273c62
Binary files /dev/null and b/core/twitter/__pycache__/twitter_retriever.cpython-312.pyc differ
diff --git a/core/twitter/twitter_retriever.py b/core/twitter/twitter_retriever.py
new file mode 100644
index 0000000..1e73390
--- /dev/null
+++ b/core/twitter/twitter_retriever.py
@@ -0,0 +1,106 @@
+import core.logger as logging
+from core.db.db_twitter_content import DBTwitterContent
+from config import TWITTER_CONFIG, COIN_MYSQL_CONFIG
+import os
+import json
+import requests
+import time
+from datetime import datetime
+import pytz
+import pandas as pd
+
+logger = logging.logger
+
+class TwitterRetriever:
+    def __init__(self):
+        self.keys = TWITTER_CONFIG["keys"]
+        self.headers = {
+            "Authorization": f"Bearer {self.keys['bearer_token']}"
+        }
+        self.user_search_url = TWITTER_CONFIG["user_search_url"]
+        self.contents_search_url = TWITTER_CONFIG["contents_search_url"]
+        self.monitor_account_list = TWITTER_CONFIG["monitor_accounts"]
+
+        mysql_user = COIN_MYSQL_CONFIG.get("user", "xch")
+        mysql_password = COIN_MYSQL_CONFIG.get("password", "")
+        if not mysql_password:
+            raise ValueError("MySQL password is not set")
+        mysql_host = COIN_MYSQL_CONFIG.get("host", "localhost")
+        mysql_port = COIN_MYSQL_CONFIG.get("port", 3306)
+        mysql_database = COIN_MYSQL_CONFIG.get("database", "okx")
+
+        self.db_url = f"mysql+pymysql://{mysql_user}:{mysql_password}@{mysql_host}:{mysql_port}/{mysql_database}"
+        self.db_twitter_content = DBTwitterContent(self.db_url)
+        self.sleep_time = 15 * 60 + 10
+
+    def search_user(self, username):
+        url = self.user_search_url.format(username)
+        response = requests.get(url, headers=self.headers)
+        if response.status_code == 200:
+            return response.json()
+        else:
+            logger.error(f"Failed to search user: {username}")
+            return None
+    
+    def search_contents(self, username: str, user_id: str):
+        logger.info(f"Searching contents for user: {user_id}")
+        url = self.contents_search_url.format(user_id)
+        response = requests.get(url, headers=self.headers)
+        if response.status_code == 200:
+            return response.json()
+        else:
+            logger.error(f"Failed to search contents for user: {user_id}")
+            return None
+    
+    def monitor_accounts(self):
+        for account in self.monitor_account_list:
+            logger.info(f"Monitoring account: {account}")
+            logger.info(f"Sleeping for {self.sleep_time} seconds")
+            time.sleep(self.sleep_time)
+            result_list = []
+            user = self.search_user(account)
+            if user is None:
+                continue
+            username = user["data"]["username"]
+            user_id = str(user["data"]["id"])
+            contents = self.search_contents(username, user_id)
+            if contents is None:
+                continue
+            twitter_contents = contents["data"]
+            for content in twitter_contents:
+                datetime_text = content["created_at"]
+                datetime_dict = self.transform_datetime(datetime_text)
+                timestamp_ms = datetime_dict["timestamp_ms"]
+                beijing_time_str = datetime_dict["beijing_time_str"]
+                text = content["text"]
+                result = {
+                    "user_id": user_id,
+                    "user_name": username,
+                    "timestamp": timestamp_ms,
+                    "date_time": beijing_time_str,
+                    "text": text
+                }
+                result_list.append(result)
+            if len(result_list) > 0:
+                result_df = pd.DataFrame(result_list)
+                self.db_twitter_content.insert_data_to_mysql(result_df)
+                logger.info(f"Inserted {len(result_df)} rows into twitter_content")
+            else:
+                logger.warning(f"No data inserted for account: {account}")
+    
+    def transform_datetime(self, datetime_text: str):
+        utc_time = datetime.strptime(datetime_text, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=pytz.UTC)
+
+        # 1. 转换为时间戳（毫秒）
+        timestamp_ms = int(utc_time.timestamp() * 1000)
+        # 2. 转换为北京时间（ISO 8601 格式，带 +08:00）
+        beijing_tz = pytz.timezone("Asia/Shanghai")
+        beijing_time = utc_time.astimezone(beijing_tz)
+        beijing_time_str = beijing_time.strftime("%Y-%m-%dT%H:%M:%S%z")
+        # 插入冒号到时区偏移（如 +0800 -> +08:00）
+        beijing_time_str = beijing_time_str[:-2] + ":" + beijing_time_str[-2:]
+        result = {
+            "timestamp_ms": timestamp_ms,
+            "beijing_time_str": beijing_time_str
+        }
+        return result
\ No newline at end of file
diff --git a/sql/table/twitter_content.sql b/sql/table/twitter_content.sql
new file mode 100644
index 0000000..ad4e14a
--- /dev/null
+++ b/sql/table/twitter_content.sql
@@ -0,0 +1,10 @@
+CREATE TABLE `twitter_content` (
+  `user_id` VARCHAR(50) NOT NULL,
+  `user_name` VARCHAR(100) NOT NULL,
+  `timestamp` BIGINT NOT NULL,
+  `date_time` VARCHAR(50) NOT NULL,
+  `text` TEXT NOT NULL,
+  `created_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+  `updated_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  UNIQUE KEY `uk_user_timestamp` (`user_id`, `timestamp`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
diff --git a/twitter_retriever_main.py b/twitter_retriever_main.py
new file mode 100644
index 0000000..0196c37
--- /dev/null
+++ b/twitter_retriever_main.py
@@ -0,0 +1,13 @@
+from core.twitter.twitter_retriever import TwitterRetriever
+import core.logger as logging
+import os
+
+logger = logging.logger
+
+def main():
+    twitter_retriever = TwitterRetriever()
+    twitter_retriever.monitor_accounts()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file