예제 #1
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def inject_local_config() -> None:
    """
    injects config from local config file
    """
    local_config = locate('config.config')
    from jesse.config import set_config
    set_config(local_config)
예제 #2
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파일: __init__.py 프로젝트: venkiiee/jesse
def init():
    from pydoc import locate
    import os
    import sys
    import jesse.helpers as jh

    # Python version validation.
    if jh.python_version() < 3.6:
        print(
            jh.color(
                'Jesse has not beed tested with your Python version ({}), hence it may not work properly. Consider upgrading to >= 3.7'.format(
                    jh.python_version()),
                'red'
            )
        )

    # fix directory issue
    sys.path.insert(0, os.getcwd())

    ls = os.listdir('.')
    is_jesse_project = 'strategies' in ls and 'config.py' in ls and 'storage' in ls and 'routes.py' in ls

    if not is_jesse_project:
        print(
            jh.color(
                'Invalid directory. To use Jesse inside notebooks, create notebooks inside the root of a Jesse project.',
                'red'
            )
        )

    if is_jesse_project:
        local_config = locate('config.config')
        from jesse.config import set_config
        set_config(local_config)
예제 #3
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파일: __init__.py 프로젝트: jesse-ai/jesse
def run(debug_mode, user_config: dict, routes: List[Dict[str, str]],
        extra_routes: List[Dict[str, str]], start_date: str, finish_date: str,
        optimal_total: int, csv: bool, json: bool) -> None:
    from jesse.config import config, set_config
    config['app']['trading_mode'] = 'optimize'

    # debug flag
    config['app']['debug_mode'] = debug_mode

    cpu_cores = int(user_config['cpu_cores'])

    # inject config
    set_config(user_config)

    # set routes
    router.initiate(routes, extra_routes)

    store.app.set_session_id()

    register_custom_exception_handler()

    # clear the screen
    if not jh.should_execute_silently():
        click.clear()

    # validate routes
    validate_routes(router)

    print('loading candles...')

    # load historical candles and divide them into training
    # and testing periods (15% for test, 85% for training)
    training_candles, testing_candles = _get_training_and_testing_candles(
        start_date, finish_date)

    # clear the screen
    click.clear()

    optimizer = Optimizer(training_candles, testing_candles, optimal_total,
                          cpu_cores, csv, json, start_date, finish_date)

    # start the process
    optimizer.run()
예제 #4
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def init() -> None:
    from pydoc import locate
    import os
    import sys

    # fix directory issue
    sys.path.insert(0, os.getcwd())

    ls = os.listdir('.')
    is_jesse_project = 'strategies' in ls and 'config.py' in ls and 'storage' in ls and 'routes.py' in ls

    if not is_jesse_project:
        print(
            jh.color(
                'Invalid directory. To use Jesse inside notebooks, create notebooks inside the root of a Jesse project.',
                'red'))

    if is_jesse_project:
        local_config = locate('config.config')
        from jesse.config import set_config
        set_config(local_config)
예제 #5
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def run(
        debug_mode,
        user_config: dict,
        routes: List[Dict[str, str]],
        extra_routes: List[Dict[str, str]],
        start_date: str,
        finish_date: str,
        candles: dict = None,
        chart: bool = False,
        tradingview: bool = False,
        full_reports: bool = False,
        csv: bool = False,
        json: bool = False
) -> None:
    if not jh.is_unit_testing():
        # at every second, we check to see if it's time to execute stuff
        status_checker = Timeloop()
        @status_checker.job(interval=timedelta(seconds=1))
        def handle_time():
            if process_status() != 'started':
                raise exceptions.Termination
        status_checker.start()

    from jesse.config import config, set_config
    config['app']['trading_mode'] = 'backtest'

    # debug flag
    config['app']['debug_mode'] = debug_mode

    # inject config
    if not jh.is_unit_testing():
        set_config(user_config)

    # set routes
    router.initiate(routes, extra_routes)

    store.app.set_session_id()

    register_custom_exception_handler()

    # clear the screen
    if not jh.should_execute_silently():
        click.clear()

    # validate routes
    validate_routes(router)

    # initiate candle store
    store.candles.init_storage(5000)

    # load historical candles
    if candles is None:
        candles = load_candles(start_date, finish_date)
        click.clear()

    if not jh.should_execute_silently():
        sync_publish('general_info', {
            'session_id': jh.get_session_id(),
            'debug_mode': str(config['app']['debug_mode']),
        })

        # candles info
        key = f"{config['app']['considering_candles'][0][0]}-{config['app']['considering_candles'][0][1]}"
        sync_publish('candles_info', stats.candles_info(candles[key]['candles']))

        # routes info
        sync_publish('routes_info', stats.routes(router.routes))

    # run backtest simulation
    simulator(candles, run_silently=jh.should_execute_silently())

    # hyperparameters (if any)
    if not jh.should_execute_silently():
        sync_publish('hyperparameters', stats.hyperparameters(router.routes))

    if not jh.should_execute_silently():
        if store.completed_trades.count > 0:
            sync_publish('metrics', report.portfolio_metrics())

            routes_count = len(router.routes)
            more = f"-and-{routes_count - 1}-more" if routes_count > 1 else ""
            study_name = f"{router.routes[0].strategy_name}-{router.routes[0].exchange}-{router.routes[0].symbol}-{router.routes[0].timeframe}{more}-{start_date}-{finish_date}"
            store_logs(study_name, json, tradingview, csv)

            if chart:
                charts.portfolio_vs_asset_returns(study_name)

            sync_publish('equity_curve', charts.equity_curve())

            # QuantStats' report
            if full_reports:
                price_data = []
                # load close candles for Buy and hold and calculate pct_change
                for index, c in enumerate(config['app']['considering_candles']):
                    exchange, symbol = c[0], c[1]
                    if exchange in config['app']['trading_exchanges'] and symbol in config['app']['trading_symbols']:
                        # fetch from database
                        candles_tuple = Candle.select(
                            Candle.timestamp, Candle.close
                        ).where(
                            Candle.timestamp.between(jh.date_to_timestamp(start_date),
                                                     jh.date_to_timestamp(finish_date) - 60000),
                            Candle.exchange == exchange,
                            Candle.symbol == symbol
                        ).order_by(Candle.timestamp.asc()).tuples()

                        candles = np.array(candles_tuple)

                        timestamps = candles[:, 0]
                        price_data.append(candles[:, 1])

                price_data = np.transpose(price_data)
                price_df = pd.DataFrame(price_data, index=pd.to_datetime(timestamps, unit="ms"), dtype=float).resample(
                    'D').mean()
                price_pct_change = price_df.pct_change(1).fillna(0)
                bh_daily_returns_all_routes = price_pct_change.mean(1)
                quantstats.quantstats_tearsheet(bh_daily_returns_all_routes, study_name)
        else:
            sync_publish('equity_curve', None)
            sync_publish('metrics', None)

    # close database connection
    from jesse.services.db import database
    database.close_connection()
예제 #6
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파일: backtest.py 프로젝트: jesse-ai/jesse
def _isolated_backtest(config: dict,
                       routes: List[Dict[str, str]],
                       extra_routes: List[Dict[str, str]],
                       candles: dict,
                       run_silently: bool = True,
                       hyperparameters: dict = None) -> dict:
    from jesse.services.validators import validate_routes
    from jesse.modes.backtest_mode import simulator
    from jesse.config import config as jesse_config, reset_config
    from jesse.routes import router
    from jesse.store import store
    from jesse.config import set_config
    from jesse.services import metrics
    from jesse.services import required_candles
    import jesse.helpers as jh

    jesse_config['app']['trading_mode'] = 'backtest'

    # inject (formatted) configuration values
    set_config(_format_config(config))

    # set routes
    router.initiate(routes, extra_routes)

    # register_custom_exception_handler()

    validate_routes(router)
    # TODO: further validate routes and allow only one exchange
    # TODO: validate the name of the exchange in the config and the route? or maybe to make sure it's a supported exchange

    # initiate candle store
    store.candles.init_storage(5000)

    # divide candles into warm_up_candles and trading_candles and then inject warm_up_candles

    max_timeframe = jh.max_timeframe(
        jesse_config['app']['considering_timeframes'])
    warm_up_num = config['warm_up_candles'] * jh.timeframe_to_one_minutes(
        max_timeframe)
    trading_candles = candles
    if warm_up_num != 0:
        for c in jesse_config['app']['considering_candles']:
            key = jh.key(c[0], c[1])
            # update trading_candles
            trading_candles[key]['candles'] = candles[key]['candles'][
                warm_up_num:]
            # inject warm-up candles
            required_candles.inject_required_candles_to_store(
                candles[key]['candles'][:warm_up_num], c[0], c[1])

    # run backtest simulation
    simulator(trading_candles, run_silently, hyperparameters)

    result = {
        'metrics': {
            'total': 0,
            'win_rate': 0,
            'net_profit_percentage': 0
        },
        'charts': None,
        'logs': None,
    }
    if store.completed_trades.count > 0:
        # add metrics
        result['metrics'] = metrics.trades(store.completed_trades.trades,
                                           store.app.daily_balance)
        # add charts
        result['charts'] = charts.portfolio_vs_asset_returns()
        # add logs
        result['logs'] = store.logs.info

    # reset store and config so rerunning would be flawlessly possible
    reset_config()
    store.reset()

    return result