# coding:gbk

import time





class G():

    pass





g = G()





def init(ContextInfo):

    g.hsa = [item for item in ContextInfo.get_stock_list_in_sector('沪深A股') if not item.endswith('BJ')]

    g.vol_dict = {}

    for stock in g.hsa:

        g.vol_dict[stock] = ContextInfo.get_last_volume(stock)

    ContextInfo.run_time("execution", "1nSecond", "2019-10-14 13:20:00")





def execution(ContextInfo):

    t0 = time.time()

    full_tick = ContextInfo.get_full_tick(g.hsa)

    total_market_value = 0

    total_ratio = 0

    count = 0

    for stock in g.hsa:

        if full_tick[stock]['lastClose'] == 0:

            continue

        ratio = full_tick[stock]['lastPrice'] / full_tick[stock]['lastClose'] - 1

        rise_price = round(full_tick[stock]['lastClose'] * 1.2, 2) if stock[0] == '3' or stock[:3] == '688' else round(

            full_tick[stock]['lastClose'] * 1.1, 2)

        # 如果要打印涨停品种

        if abs(full_tick[stock]['lastPrice'] - rise_price) <0.01:

            print(f"涨停股票 {stock} {ContextInfo.get_stock_name(stock)}")



        market_value = full_tick[stock]['lastPrice'] * g.vol_dict[stock]

        total_ratio += ratio * market_value

        total_market_value += market_value

        count += 1

    # print(count)

    total_ratio /= total_market_value

    total_ratio *= 100

    print(f'A股加权涨幅 {round(total_ratio, 2)}% 函数运行耗时{round(time.time() - t0, 5)}秒')

量化新人用QMT+chat GPT快速上手量化策略（一）QMT基础介绍



量化新人用QMT+chat GPT快速上手量化策略（二）QMT均线盘后选股



量化新人用QMT+chat GPT快速上手量化策略（三）一个基本的回测策略代码



量化新人用QMT+chat GPT快速上手量化策略（四） QMT运行一个策略的整体流程



量化新人用QMT+chat GPT快速上手量化策略（五）  获取股票数据



量化新人用QMT+chat GPT快速上手量化策略（六） tablib计算指标



量化新人用QMT+chat GPT快速上手量化策略（七） 下单代码编写

#encoding:gbk



def init(ContextInfo):

    print('hello world')

    

def handlebar(ContextInfo):

    #计算当前主图的cci

    print("handle bar")

（3）Handlebar



handlebar 是整个 Python 模型中的核心执行函数。当模型从数据层获取到运行所需要的数据之后，会对数据集上的每一根 bar，调用一次 handlebar 函数，处理当前这根 bar 上的数据。也就是说，用户模型的核心逻辑都是写在该函数中的，如获取数据，设置下单条件等。在 handlebar 中处理完数据后，用户可以通过 paint 方法将需要绘图输出的结果返回给界面。界面会将输出结果如实的展示出来。

（4）ContextInfo



ContextInfo 是整个 Python 框架中的一个核心对象。它包含了各种与 Python 底层框架交互的 API 方法，也是一个全局的上下文环境，可以在 init 以及 handlebar 这两个函数中自由地传递用户创建的各种自定义数据。

def init(ContextInfo):

    pass

    

def handlebar(ContextInfo):

    pass

# encoding:gbk

import logging

from datetime import datetime, timedelta

from decimal import Decimal as D

from decimal import InvalidOperation



logging.basicConfig(level=logging.INFO)



# 挂单失败后的等待时长，以秒计

TIMEOUT_ON_FAIL_SEC = 30

# 等待account_callback的时长

# RUN_TIME_DELAY = 30



# how is this not defined in package??

MORNING_START = datetime.strptime(datetime.now().strftime('%Y%m%d') + '093000', '%Y%m%d%H%M%S')

MORNING_END = datetime.strptime(datetime.now().strftime('%Y%m%d') + '113000', '%Y%m%d%H%M%S')

NOON_START = datetime.strptime(datetime.now().strftime('%Y%m%d') + '130000', '%Y%m%d%H%M%S')

NOON_END = datetime.strptime(datetime.now().strftime('%Y%m%d') + '153000', '%Y%m%d%H%M%S')



# for SH only

TRANS_COST_1D = D('5e-6')

TRANS_COST_LONG = D('1.5e-7')

TRANS_COST_MAX = 100



# ORDER LIMITS

SH_UPPER = 1e7

SH_LOWER = 1e5

SZ_UPPER = 1e8

SZ_LOWER = 1e3



# ASSET NAME DICT

SH_REV_REPO = {'上交所1天': '204001.SH', '上交所2天': '204002.SH', '上交所3天': '204003.SH',

               '上交所4天': '204004.SH', '上交所7天': '204007.SH', '上交所14天': '204014.SH',

               '上交所28天': '204028.SH', '上交所91天': '204091.SH', '上交所182天': '204182.SH',

               }



SZ_REV_REPO = {'深交所3天': '131800.SZ', '深交所7天': '131801.SZ', '深交所14天': '131802.SZ',

               '深交所28天': '131803.SZ', '深交所91天': '131805.SZ', '深交所182天': '131806.SZ',

               '深交所4天': '131809.SZ', '深交所1天': '131810.SZ', '深交所2天': '131811.SZ',

               }





def init(ContextInfo):

    ContextInfo.accID = account

    ContextInfo.set_account(ContextInfo.accID)

    ContextInfo.use_all_cap = False if ALL_CAP == '否' else True



    # global trading control, set to False if detected error on user's side

    # stop() does not halt strat

    ContextInfo.order_control = False



    if not ContextInfo.use_all_cap:

        try:

            ContextInfo.dollar_vol = float(D(DOLLAR_VOL))

        except InvalidOperation:

            ContextInfo.order_control = True

            raise ValueError('读取资金量失败')

    else:

        if DOLLAR_VOL != '':

            logging.warning('已设定使用全部账户资金，忽略所设置资金量')



    try:

        ContextInfo.start_time = datetime.strptime(datetime.now().strftime('%Y%m%d') + str(START_TIME), '%Y%m%d%H%M%S')

        ContextInfo.asset_name = SH_REV_REPO[ASSET_NAME]

    except KeyError:

        ContextInfo.asset_name = SZ_REV_REPO[ASSET_NAME]

    except ValueError as error:

        if 'unconverted data remains' in str(error):

            ContextInfo.order_control = True

            raise ValueError('读取挂单时间失败')



    if not (MORNING_END > ContextInfo.start_time >= MORNING_START) \

            and not (NOON_END > ContextInfo.start_time >= NOON_START):

        ContextInfo.order_control = True

        raise ValueError('挂单时间不在可交易时间内')



    ContextInfo.can_order = False

    ContextInfo.order_done = False



    if not ContextInfo.order_control:

        ContextInfo.run_time("place_order", "{0}nSecond".format(TIMEOUT_ON_FAIL_SEC),

                             ContextInfo.start_time.strftime('%Y-%m-%d %H:%M:%S'), 'SH')





def account_callback(ContextInfo, accountInfo):

    if not ContextInfo.can_order:

        ContextInfo.can_order = True

        if ContextInfo.use_all_cap:

            ContextInfo.dollar_vol = accountInfo.m_dAvailable

        else:

            if ContextInfo.dollar_vol > accountInfo.m_dAvailable:

                ContextInfo.order_control = True

                raise ValueError('下单额度大于账户可用资金')



        # check if order satisfies lower limit for each exchange

        if ('SH' in ContextInfo.asset_name and ContextInfo.dollar_vol < SH_LOWER) \

                or ('SZ' in ContextInfo.asset_name and ContextInfo.dollar_vol < SZ_LOWER):

            ContextInfo.order_control = True

            raise ValueError('下单额度低于交易所最低限额')



        # checks dollar_vol and rounds the total amount

        if 'SH' in ContextInfo.asset_name and ContextInfo.dollar_vol % SH_LOWER != 0:

            ContextInfo.dollar_vol = (ContextInfo.dollar_vol // SH_LOWER) * SH_LOWER

            logging.warning('下单额度已规整为：{0}'.format(ContextInfo.dollar_vol))

        elif 'SZ' in ContextInfo.asset_name and ContextInfo.dollar_vol % SZ_LOWER != 0:

            ContextInfo.dollar_vol = (ContextInfo.dollar_vol // SZ_LOWER) * SZ_LOWER

            logging.warning('下单额度已规整为：{0}'.format(ContextInfo.dollar_vol))



        '''

        if 'SH' in ContextInfo.asset_name:

            num_batch_order = int(ContextInfo.dollar_vol // SH_UPPER)

            remain_order = ContextInfo.dollar_vol - num_batch_order * SH_UPPER

            if ContextInfo.asset_name == '204001.SH':

                transaction_cost = TRANS_COST_MAX * num_batch_order + remain_order * TRANS_COST_1D

            else:

                transaction_cost = TRANS_COST_MAX * num_batch_order + remain_order * TRANS_COST_LONG

            if transaction_cost + ContextInfo.dollar_vol > accountInfo.m_dAvailable:

                ContextInfo.order_control = True

                raise ValueError('可用资金不足以垫付交易金额与手续费')

       '''



        ContextInfo.remain_vol = ContextInfo.dollar_vol





def handlebar(ContextInfo):

    return





def place_order(ContextInfo):

    if not ContextInfo.can_order or ContextInfo.order_control:

        return



    if not ContextInfo.order_done:

        if 'SH' in ContextInfo.asset_name:

            num_batch_order = int(ContextInfo.remain_vol // SH_UPPER)

            remain_order = ContextInfo.remain_vol - num_batch_order * SH_UPPER

            for _ in range(num_batch_order):

                order_remark = '国债逆回购：尝试报单{0}元 {1}'.format(SH_UPPER, ContextInfo.asset_name)

                passorder(24, 1102, ContextInfo.accID, ContextInfo.asset_name, 5, -1, SH_UPPER, order_remark, 1,

                          order_remark, ContextInfo)

        else:

            num_batch_order = int(ContextInfo.remain_vol // SZ_UPPER)

            remain_order = ContextInfo.remain_vol - num_batch_order * SZ_UPPER

            for _ in range(num_batch_order):

                order_remark = '国债逆回购：尝试报单{0}元 {1}'.format(SZ_UPPER, ContextInfo.asset_name)

                passorder(24, 1102, ContextInfo.accID, ContextInfo.asset_name, 5, -1, SZ_UPPER, order_remark, 1,

                          order_remark, ContextInfo)



        order_remark = '国债逆回购：尝试报单{0}元 {1}'.format(remain_order, ContextInfo.asset_name)

        passorder(24, 1102, ContextInfo.accID, ContextInfo.asset_name, 5, -1, remain_order, order_remark, 1,

                  order_remark, ContextInfo)



        ContextInfo.remain_vol = 0

        ContextInfo.order_done = True





def order_callback(ContextInfo, orderInfo):

    curr_remark = orderInfo.m_strRemark

    curr_status = orderInfo.m_nOrderStatus



    if '国债逆回购' in curr_remark and ContextInfo.asset_name in curr_remark and curr_status == 57:

        ContextInfo.order_done = False

        # up the leftover dollar vol by failed amount

        # logging.info('reported trade amount:{0}, reported_trade_volume:{1}'.format(orderInfo.m_dTradeAmount, orderInfo.m_nVolumeTotal))

        # 单张100元

        ContextInfo.remain_vol += orderInfo.m_nVolumeTotal * 100

        if '交易时间不合法' in orderInfo.m_strCancelInfo:

            ContextInfo.order_control = True

            raise ValueError('国债逆回购：未能在交易时间内完成下单，停止报单。余量{0}元未报'.format(ContextInfo.remain_vol))

        logging.warning('国债逆回购：报单废单，原因：\"{0}\"，尝试重报'.format(orderInfo.m_strCancelInfo))

    elif '国债逆回购' in curr_remark and ContextInfo.asset_name in curr_remark and curr_status == 50:

        logging.info('国债逆回购：报单{0}元成功'.format(orderInfo.m_nVolumeTotal * 100))

    return









待续，不定期更新

1. 国信证券iQuant策略交易平台精简版是指国信证券iQuant策略交易平台更专业快速且简洁的版本，满足股票、期货、期权、基金等全品种交易需求。
2. 风险等级：R4
 投资期限：0-1年
投资品种：权益类投资品种如股票、混合型基金、偏股型基金、股票型基金等。
3. 平台使用不收取费用。