知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
113 lines
4.9 KiB
Python
113 lines
4.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/4/3 16:36
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Desc: 金十数据-其他-加密货币实时行情
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"""
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from datetime import datetime
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import pandas as pd
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import requests
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def crypto_js_spot() -> pd.DataFrame:
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"""
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主流加密货币的实时行情数据, 一次请求返回具体某一时刻行情数据
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https://datacenter.jin10.com/reportType/dc_bitcoin_current
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:return: pandas.DataFrame
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"""
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url = "https://datacenter-api.jin10.com/crypto_currency/list"
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headers = {
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/107.0.0.0 Safari/537.36",
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"x-app-id": "rU6QIu7JHe2gOUeR",
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"x-csrf-token": "x-csrf-token",
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"x-version": "1.0.0",
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}
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r = requests.get(url, headers=headers)
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data_json = r.json()
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data_df = pd.DataFrame(data_json["data"])
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data_df["reported_at"] = pd.to_datetime(data_df["reported_at"])
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data_df.columns = [
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"市场",
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"交易品种",
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"最近报价",
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"涨跌额",
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"涨跌幅",
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"24小时最高",
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"24小时最低",
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"24小时成交量",
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"更新时间",
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]
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data_df["最近报价"] = pd.to_numeric(data_df["最近报价"], errors="coerce")
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data_df["涨跌额"] = pd.to_numeric(data_df["涨跌额"], errors="coerce")
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data_df["涨跌幅"] = pd.to_numeric(data_df["涨跌幅"], errors="coerce")
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data_df["24小时最高"] = pd.to_numeric(data_df["24小时最高"], errors="coerce")
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data_df["24小时最低"] = pd.to_numeric(data_df["24小时最低"], errors="coerce")
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data_df["24小时成交量"] = pd.to_numeric(data_df["24小时成交量"], errors="coerce")
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data_df["更新时间"] = data_df["更新时间"].astype(str)
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return data_df
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def macro_fx_sentiment(
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start_date: str = "20221011", end_date: str = "20221017"
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) -> pd.DataFrame:
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"""
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金十数据-外汇-投机情绪报告
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外汇投机情绪报告显示当前市场多空仓位比例，数据由8家交易平台提供，涵盖11个主要货币对和1个黄金品种。
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报告内容: 品种: 澳元兑日元、澳元兑美元、欧元兑美元、欧元兑澳元、欧元兑日元、英镑兑美元、英镑兑日元、纽元兑美元、美元兑加元、美元兑瑞郎、美元兑日元以及现货黄金兑美元。
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数据: 由Shark - fx整合全球8家交易平台（ 包括 Oanda、 FXCM、 Insta、 Dukas、 MyFxBook以及FiboGroup） 的多空投机仓位数据而成。
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名词释义: 外汇投机情绪报告显示当前市场多空仓位比例，数据由8家交易平台提供，涵盖11个主要货币对和1个黄金品种。
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工具使用策略: Shark-fx声明表示，基于“主流通常都是错误的”的事实，当空头头寸超过60%，交易者就应该建立多头仓位； 同理，当市场多头头寸超过60%，交易者则应该建立空头仓位。此外，当多空仓位比例接近50%的情况下，我们则倾向于建议交易者不要进场，保持观望。
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https://datacenter.jin10.com/reportType/dc_ssi_trends
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:param start_date: 具体交易日
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:type start_date: str
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:param end_date: 具体交易日, 与 end_date 相同
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:type end_date: str
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:return: 投机情绪报告
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:rtype: pandas.DataFrame
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"""
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start_date = "-".join([start_date[:4], start_date[4:6], start_date[6:]])
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end_date = "-".join([end_date[:4], end_date[4:6], end_date[6:]])
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url = "https://datacenter-api.jin10.com/sentiment/datas"
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params = {
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"start_date": start_date,
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"end_date": end_date,
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"currency_pair": "",
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}
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headers = {
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"accept": "*/*",
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"accept-encoding": "",
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"accept-language": "zh-CN,zh;q=0.9,en;q=0.8",
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"cache-control": "no-cache",
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"origin": "https://datacenter.jin10.com",
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"pragma": "no-cache",
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"referer": "https://datacenter.jin10.com/reportType/dc_ssi_trends",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-site",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/79.0.3945.130 Safari/537.36",
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"x-app-id": "rU6QIu7JHe2gOUeR",
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"x-csrf-token": "",
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"x-version": "1.0.0",
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}
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"]["values"]).T
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temp_df.reset_index(inplace=True)
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temp_df.rename(columns={"index": "date"}, inplace=True)
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for col in temp_df.columns[1:]:
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temp_df[col] = pd.to_numeric(temp_df[col], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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crypto_js_spot_df = crypto_js_spot()
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print(crypto_js_spot_df)
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test_date = datetime.now().date().isoformat().replace("-", "")
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macro_fx_sentiment_df = macro_fx_sentiment(start_date=test_date, end_date=test_date)
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print(macro_fx_sentiment_df)
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