Esempio n. 1
0
def get_trader_details(account_reader: AccountReader,
                       order_reader: OrderReader, provider: Union[str,
                                                                  Provider]):
    graph_list = []

    account_data, account_layout = account_reader.draw(render=None,
                                                       value_field='all_value',
                                                       keep_ui_state=False)

    for trader_name in account_reader.trader_names:
        graph_list.append(
            dcc.Graph(id='{}_account'.format(trader_name),
                      figure={
                          'data': account_data,
                          'layout': account_layout
                      }))

    df_account = account_reader.get_data_df()

    if df_is_not_null(df_account):
        df_orders = order_reader.get_data_df()

        if df_is_not_null(df_orders):
            grouped = df_orders.groupby('security_id')

            for security_id, order_df in grouped:
                security_type, _, _ = decode_security_id(security_id)
                security_factor = TechnicalFactor(security_type=security_type,
                                                  security_list=[security_id],
                                                  level=account_reader.level,
                                                  provider=provider)
                if df_is_not_null(security_factor.get_data_df()):
                    print(security_factor.get_data_df().tail())
                data, layout = security_factor.draw(figure=go.Candlestick,
                                                    render=None,
                                                    keep_ui_state=False)

                graph_list.append(
                    dcc.Graph(id='{}_signals'.format(security_id),
                              figure={
                                  'data': data,
                                  'layout': layout
                              }))

    return graph_list
Esempio n. 2
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def get_trader_detail_figures(trader_domain: business.Trader,
                              account_reader: AccountReader,
                              order_reader: OrderReader):
    graph_list = []

    if account_reader:
        account_data, account_layout = account_reader.draw(
            render=None, value_fields=['all_value'], keep_ui_state=False)

        for trader_name in account_reader.trader_names:
            graph_list.append(
                dcc.Graph(id='{}-account'.format(trader_name),
                          figure={
                              'data': account_data,
                              'layout': account_layout
                          }))

    order_reader.move_on(timeout=0)
    df_orders = order_reader.get_data_df().copy()

    if df_is_not_null(df_orders):
        grouped = df_orders.groupby('security_id')

        for security_id, order_df in grouped:
            security_type, _, _ = decode_security_id(security_id)

            indicators = []
            indicators_param = []
            indicator_cols = []
            if trader_domain.technical_factors:
                tech_factors = simplejson.loads(
                    trader_domain.technical_factors)
                for factor in tech_factors:
                    indicators += factor['indicators']
                    indicators_param += factor['indicators_param']
                    indicator_cols += factor['indicator_cols']

            security_factor = TechnicalFactor(
                security_type=security_type,
                security_list=[security_id],
                start_timestamp=trader_domain.start_timestamp,
                end_timestamp=trader_domain.end_timestamp,
                level=trader_domain.level,
                provider=trader_domain.provider,
                indicators=indicators,
                indicators_param=indicators_param)

            # generate the annotation df
            df = order_df.copy()
            if df_is_not_null(df):
                df['value'] = df['order_price']
                df['flag'] = df['order_type'].apply(
                    lambda x: order_type_flag(x))
                df['color'] = df['order_type'].apply(
                    lambda x: order_type_color(x))
            print(df.tail())

            data, layout = security_factor.draw_with_indicators(
                render=None,
                annotation_df=df,
                indicators=indicator_cols,
                height=620)
            if trader_domain.real_time:
                result = get_current_price(security_list=[security_id])
                bid_ask = result.get(security_id)

                if bid_ask:
                    graph_list.append(
                        daq.LEDDisplay(id='ask',
                                       label=f'ask price',
                                       value=bid_ask[0],
                                       color="#00da3c"))

                    graph_list.append(
                        daq.LEDDisplay(id='bid',
                                       label=f'bid price',
                                       value=bid_ask[1],
                                       color="#FF5E5E"))

            graph_list.append(
                dcc.Graph(id='{}-{}-signals'.format(trader_domain.trader_name,
                                                    security_id),
                          figure={
                              'data': data,
                              'layout': layout
                          }))

    return graph_list
Esempio n. 3
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def get_account_figure(account_reader: AccountReader):
    account_data, account_layout = account_reader.draw(
        render=None, value_fields='all_value')

    return go.Figure(data=account_data, layout=account_layout)
Esempio n. 4
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def get_trader_detail_figures(trader_domain: business.Trader,
                              account_reader: AccountReader,
                              order_reader: OrderReader):
    graph_list = []

    account_data, account_layout = account_reader.draw(
        render=None, value_fields=['all_value'], keep_ui_state=False)

    for trader_name in account_reader.trader_names:
        graph_list.append(
            dcc.Graph(id='{}-account'.format(trader_name),
                      figure={
                          'data': account_data,
                          'layout': account_layout
                      }))

    df_orders = order_reader.get_data_df()

    if df_is_not_null(df_orders):
        grouped = df_orders.groupby('security_id')

        for security_id, order_df in grouped:
            security_type, _, _ = decode_security_id(security_id)
            # TODO:just show the indicators used by the trader
            security_factor = TechnicalFactor(
                security_type=security_type,
                security_list=[security_id],
                start_timestamp=trader_domain.start_timestamp,
                end_timestamp=trader_domain.end_timestamp,
                level=trader_domain.level,
                provider=trader_domain.provider,
                indicators=['ma', 'ma'],
                indicators_param=[{
                    'window': 5
                }, {
                    'window': 10
                }])

            # if df_is_not_null(security_factor.get_data_df()):
            #     print(security_factor.get_data_df().tail())

            # generate the annotation df
            order_reader.move_on(timeout=0)
            df = order_reader.get_data_df().copy()
            if df_is_not_null(df):
                df['value'] = df['order_price']
                df['flag'] = df['order_type'].apply(
                    lambda x: order_type_flag(x))
                df['color'] = df['order_type'].apply(
                    lambda x: order_type_color(x))
            print(df.tail())

            data, layout = security_factor.draw_with_indicators(
                render=None, annotation_df=df)

            graph_list.append(
                dcc.Graph(id='{}-{}-signals'.format(trader_domain.trader_name,
                                                    security_id),
                          figure={
                              'data': data,
                              'layout': layout
                          }))

    return graph_list