diff --git a/scripts/data_collector/crypto/README.md b/scripts/data_collector/crypto/README.md
new file mode 100644
index 0000000000..b88d80c063
--- /dev/null
+++ b/scripts/data_collector/crypto/README.md
@@ -0,0 +1,54 @@
+# Collect Crypto Data
+
+> *Please pay **ATTENTION** that the data is collected from [Coingecko](https://www.coingecko.com/en/api) and the data might not be perfect. We recommend users to prepare their own data if they have high-quality dataset. For more information, users can refer to the [related document](https://qlib.readthedocs.io/en/latest/component/data.html#converting-csv-format-into-qlib-format)*
+
+## Requirements
+
+```bash
+pip install -r requirements.txt
+```
+
+## Usage of the dataset
+> *Crypto dateset only support Data retrieval function but not support backtest function due to the lack of OHLC data.*
+
+## Collector Data
+
+
+### Crypto Data
+
+#### 1d from Coingecko
+
+```bash
+
+# download from https://api.coingecko.com/api/v3/
+python collector.py download_data --source_dir ~/.qlib/crypto_data/source/1d --start 2015-01-01 --end 2021-11-30 --delay 1 --interval 1d
+
+# normalize
+python collector.py normalize_data --source_dir ~/.qlib/crypto_data/source/1d --normalize_dir ~/.qlib/crypto_data/source/1d_nor --interval 1d --date_field_name date
+
+# dump data
+cd qlib/scripts
+python dump_bin.py dump_all --csv_path ~/.qlib/crypto_data/source/1d_nor --qlib_dir ~/.qlib/qlib_data/crypto_data --freq day --date_field_name date --include_fields prices,total_volumes,market_caps
+
+```
+
+### using data
+
+```python
+import qlib
+from qlib.data import D
+
+qlib.init(provider_uri="~/.qlib/qlib_data/crypto_data")
+df = D.features(D.instruments(market="all"), ["$prices", "$total_volumes","$market_caps"], freq="day")
+```
+
+
+### Help
+```bash
+python collector.py collector_data --help
+```
+
+## Parameters
+
+- interval: 1d
+- delay: 1
diff --git a/scripts/data_collector/crypto/collector.py b/scripts/data_collector/crypto/collector.py
new file mode 100644
index 0000000000..d74fd90e92
--- /dev/null
+++ b/scripts/data_collector/crypto/collector.py
@@ -0,0 +1,278 @@
+import abc
+import sys
+import datetime
+from abc import ABC
+from pathlib import Path
+
+import fire
+import requests
+import pandas as pd
+from loguru import logger
+from dateutil.tz import tzlocal
+
+CUR_DIR = Path(__file__).resolve().parent
+sys.path.append(str(CUR_DIR.parent.parent))
+from data_collector.base import BaseCollector, BaseNormalize, BaseRun
+from data_collector.utils import get_cg_crypto_symbols
+
+from pycoingecko import CoinGeckoAPI
+from time import mktime
+from datetime import datetime as dt
+import time
+
+
+class CryptoCollector(BaseCollector):
+    def __init__(
+        self,
+        save_dir: [str, Path],
+        start=None,
+        end=None,
+        interval="1d",
+        max_workers=1,
+        max_collector_count=2,
+        delay=1,  # delay need to be one
+        check_data_length: int = None,
+        limit_nums: int = None,
+    ):
+        """
+
+        Parameters
+        ----------
+        save_dir: str
+            crypto save dir
+        max_workers: int
+            workers, default 4
+        max_collector_count: int
+            default 2
+        delay: float
+            time.sleep(delay), default 0
+        interval: str
+            freq, value from [1min, 1d], default 1min
+        start: str
+            start datetime, default None
+        end: str
+            end datetime, default None
+        check_data_length: int
+            check data length, if not None and greater than 0, each symbol will be considered complete if its data length is greater than or equal to this value, otherwise it will be fetched again, the maximum number of fetches being (max_collector_count). By default None.
+        limit_nums: int
+            using for debug, by default None
+        """
+        super(CryptoCollector, self).__init__(
+            save_dir=save_dir,
+            start=start,
+            end=end,
+            interval=interval,
+            max_workers=max_workers,
+            max_collector_count=max_collector_count,
+            delay=delay,
+            check_data_length=check_data_length,
+            limit_nums=limit_nums,
+        )
+
+        self.init_datetime()
+
+    def init_datetime(self):
+        if self.interval == self.INTERVAL_1min:
+            self.start_datetime = max(self.start_datetime, self.DEFAULT_START_DATETIME_1MIN)
+        elif self.interval == self.INTERVAL_1d:
+            pass
+        else:
+            raise ValueError(f"interval error: {self.interval}")
+
+        self.start_datetime = self.convert_datetime(self.start_datetime, self._timezone)
+        self.end_datetime = self.convert_datetime(self.end_datetime, self._timezone)
+
+    @staticmethod
+    def convert_datetime(dt: [pd.Timestamp, datetime.date, str], timezone):
+        try:
+            dt = pd.Timestamp(dt, tz=timezone).timestamp()
+            dt = pd.Timestamp(dt, tz=tzlocal(), unit="s")
+        except ValueError as e:
+            pass
+        return dt
+
+    @property
+    @abc.abstractmethod
+    def _timezone(self):
+        raise NotImplementedError("rewrite get_timezone")
+
+    @staticmethod
+    def get_data_from_remote(symbol, interval, start, end):
+        error_msg = f"{symbol}-{interval}-{start}-{end}"
+        try:
+            cg = CoinGeckoAPI()
+            data = cg.get_coin_market_chart_by_id(id=symbol, vs_currency="usd", days="max")
+            _resp = pd.DataFrame(columns=["date"] + list(data.keys()))
+            _resp["date"] = [dt.fromtimestamp(mktime(time.localtime(x[0] / 1000))) for x in data["prices"]]
+            for key in data.keys():
+                _resp[key] = [x[1] for x in data[key]]
+            _resp["date"] = pd.to_datetime(_resp["date"])
+            _resp["date"] = [x.date() for x in _resp["date"]]
+            _resp = _resp[(_resp["date"] < pd.to_datetime(end).date()) & (_resp["date"] > pd.to_datetime(start).date())]
+            if _resp.shape[0] != 0:
+                _resp = _resp.reset_index()
+            if isinstance(_resp, pd.DataFrame):
+                return _resp.reset_index()
+        except Exception as e:
+            logger.warning(f"{error_msg}:{e}")
+
+    def get_data(
+        self, symbol: str, interval: str, start_datetime: pd.Timestamp, end_datetime: pd.Timestamp
+    ) -> [pd.DataFrame]:
+        def _get_simple(start_, end_):
+            self.sleep()
+            _remote_interval = interval
+            return self.get_data_from_remote(
+                symbol,
+                interval=_remote_interval,
+                start=start_,
+                end=end_,
+            )
+
+        if interval == self.INTERVAL_1d:
+            _result = _get_simple(start_datetime, end_datetime)
+        else:
+            raise ValueError(f"cannot support {interval}")
+        return _result
+
+
+class CryptoCollector1d(CryptoCollector, ABC):
+    def get_instrument_list(self):
+        logger.info("get coingecko crypto symbols......")
+        symbols = get_cg_crypto_symbols()
+        logger.info(f"get {len(symbols)} symbols.")
+        return symbols
+
+    def normalize_symbol(self, symbol):
+        return symbol
+
+    @property
+    def _timezone(self):
+        return "Asia/Shanghai"
+
+
+class CryptoNormalize(BaseNormalize):
+    DAILY_FORMAT = "%Y-%m-%d"
+
+    @staticmethod
+    def normalize_crypto(
+        df: pd.DataFrame,
+        calendar_list: list = None,
+        date_field_name: str = "date",
+        symbol_field_name: str = "symbol",
+    ):
+        if df.empty:
+            return df
+        df = df.copy()
+        df.set_index(date_field_name, inplace=True)
+        df.index = pd.to_datetime(df.index)
+        df = df[~df.index.duplicated(keep="first")]
+        if calendar_list is not None:
+            df = df.reindex(
+                pd.DataFrame(index=calendar_list)
+                .loc[
+                    pd.Timestamp(df.index.min()).date() : pd.Timestamp(df.index.max()).date()
+                    + pd.Timedelta(hours=23, minutes=59)
+                ]
+                .index
+            )
+        df.sort_index(inplace=True)
+
+        df.index.names = [date_field_name]
+        return df.reset_index()
+
+    def normalize(self, df: pd.DataFrame) -> pd.DataFrame:
+        df = self.normalize_crypto(df, self._calendar_list, self._date_field_name, self._symbol_field_name)
+        return df
+
+
+class CryptoNormalize1d(CryptoNormalize):
+    def _get_calendar_list(self):
+        return None
+
+
+class Run(BaseRun):
+    def __init__(self, source_dir=None, normalize_dir=None, max_workers=1, interval="1d"):
+        """
+
+        Parameters
+        ----------
+        source_dir: str
+            The directory where the raw data collected from the Internet is saved, default "Path(__file__).parent/source"
+        normalize_dir: str
+            Directory for normalize data, default "Path(__file__).parent/normalize"
+        max_workers: int
+            Concurrent number, default is 1
+        interval: str
+            freq, value from [1min, 1d], default 1d
+        """
+        super().__init__(source_dir, normalize_dir, max_workers, interval)
+
+    @property
+    def collector_class_name(self):
+        return f"CryptoCollector{self.interval}"
+
+    @property
+    def normalize_class_name(self):
+        return f"CryptoNormalize{self.interval}"
+
+    @property
+    def default_base_dir(self) -> [Path, str]:
+        return CUR_DIR
+
+    def download_data(
+        self,
+        max_collector_count=2,
+        delay=0,
+        start=None,
+        end=None,
+        interval="1d",
+        check_data_length: int = None,
+        limit_nums=None,
+    ):
+        """download data from Internet
+
+        Parameters
+        ----------
+        max_collector_count: int
+            default 2
+        delay: float
+            time.sleep(delay), default 0
+        interval: str
+            freq, value from [1min, 1d], default 1d, currently only supprot 1d
+        start: str
+            start datetime, default "2000-01-01"
+        end: str
+            end datetime, default ``pd.Timestamp(datetime.datetime.now() + pd.Timedelta(days=1))``
+        check_data_length: int # if this param useful?
+            check data length, if not None and greater than 0, each symbol will be considered complete if its data length is greater than or equal to this value, otherwise it will be fetched again, the maximum number of fetches being (max_collector_count). By default None.
+        limit_nums: int
+            using for debug, by default None
+
+        Examples
+        ---------
+            # get daily data
+            $ python collector.py download_data --source_dir ~/.qlib/crypto_data/source/1d --start 2015-01-01 --end 2021-11-30 --delay 1 --interval 1d
+        """
+
+        super(Run, self).download_data(max_collector_count, delay, start, end, interval, check_data_length, limit_nums)
+
+    def normalize_data(self, date_field_name: str = "date", symbol_field_name: str = "symbol"):
+        """normalize data
+
+        Parameters
+        ----------
+        date_field_name: str
+            date field name, default date
+        symbol_field_name: str
+            symbol field name, default symbol
+
+        Examples
+        ---------
+            $ python collector.py normalize_data --source_dir ~/.qlib/crypto_data/source/1d --normalize_dir ~/.qlib/crypto_data/source/1d_nor --interval 1d --date_field_name date
+        """
+        super(Run, self).normalize_data(date_field_name, symbol_field_name)
+
+
+if __name__ == "__main__":
+    fire.Fire(Run)
diff --git a/scripts/data_collector/crypto/requirement.txt b/scripts/data_collector/crypto/requirement.txt
new file mode 100644
index 0000000000..5b59a7b12d
--- /dev/null
+++ b/scripts/data_collector/crypto/requirement.txt
@@ -0,0 +1,8 @@
+loguru
+fire
+requests
+numpy
+pandas
+tqdm
+lxml
+pycoingecko
\ No newline at end of file
diff --git a/scripts/data_collector/utils.py b/scripts/data_collector/utils.py
index 883a1c5511..7745b2085a 100644
--- a/scripts/data_collector/utils.py
+++ b/scripts/data_collector/utils.py
@@ -19,6 +19,7 @@
 from tqdm import tqdm
 from functools import partial
 from concurrent.futures import ProcessPoolExecutor
+from pycoingecko import CoinGeckoAPI
 
 HS_SYMBOLS_URL = "http://app.finance.ifeng.com/hq/list.php?type=stock_a&class={s_type}"
 
@@ -42,6 +43,7 @@
 _US_SYMBOLS = None
 _IN_SYMBOLS = None
 _EN_FUND_SYMBOLS = None
+_CG_CRYPTO_SYMBOLS = None
 _CALENDAR_MAP = {}
 
 # NOTE: Until 2020-10-20 20:00:00
@@ -377,6 +379,37 @@ def _get_eastmoney():
     return _EN_FUND_SYMBOLS
 
 
+def get_cg_crypto_symbols(qlib_data_path: [str, Path] = None) -> list:
+    """get crypto symbols in coingecko
+
+    Returns
+    -------
+        crypto symbols in given exchanges list of coingecko
+    """
+    global _CG_CRYPTO_SYMBOLS
+
+    @deco_retry
+    def _get_coingecko():
+        try:
+            cg = CoinGeckoAPI()
+            resp = pd.DataFrame(cg.get_coins_markets(vs_currency="usd"))
+        except:
+            raise ValueError("request error")
+        try:
+            _symbols = resp["id"].to_list()
+        except Exception as e:
+            logger.warning(f"request error: {e}")
+            raise
+        return _symbols
+
+    if _CG_CRYPTO_SYMBOLS is None:
+        _all_symbols = _get_coingecko()
+
+        _CG_CRYPTO_SYMBOLS = sorted(set(_all_symbols))
+
+    return _CG_CRYPTO_SYMBOLS
+
+
 def symbol_suffix_to_prefix(symbol: str, capital: bool = True) -> str:
     """symbol suffix to prefix