{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Param search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "\n",
    "from t_tech.invest.mock_services import MockedSandboxClient\n",
    "from decimal import Decimal\n",
    "from t_tech.invest.strategies.moving_average.strategy_settings import (\n",
    "    MovingAverageStrategySettings,\n",
    ")\n",
    "from t_tech.invest import CandleInterval, MoneyValue\n",
    "from t_tech.invest.strategies.moving_average.signal_executor import (\n",
    "    MovingAverageSignalExecutor,\n",
    ")\n",
    "from t_tech.invest.strategies.moving_average.supervisor import (\n",
    "    MovingAverageStrategySupervisor,\n",
    ")\n",
    "from t_tech.invest.strategies.moving_average.strategy_state import (\n",
    "    MovingAverageStrategyState,\n",
    ")\n",
    "from t_tech.invest.strategies.moving_average.strategy import MovingAverageStrategy\n",
    "from t_tech.invest.strategies.moving_average.trader import MovingAverageStrategyTrader\n",
    "from datetime import timedelta, datetime, timezone\n",
    "from t_tech.invest.typedefs import ShareId, AccountId\n",
    "from t_tech.invest.strategies.base.account_manager import AccountManager\n",
    "from t_tech.invest.strategies.moving_average.plotter import (\n",
    "    MovingAverageStrategyPlotter,\n",
    ")\n",
    "\n",
    "\n",
    "logging.basicConfig(format=\"%(asctime)s %(levelname)s:%(message)s\", level=logging.INFO)\n",
    "logger = logging.getLogger(__name__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "token = "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "figi = ShareId(\"BBG0013HGFT4\")\n",
    "account_id = AccountId(\"1337007228\")\n",
    "settings = MovingAverageStrategySettings(\n",
    "    share_id=figi,\n",
    "    account_id=account_id,\n",
    "    max_transaction_price=Decimal(10000),\n",
    "    candle_interval=CandleInterval.CANDLE_INTERVAL_1_MIN,\n",
    "    long_period=timedelta(minutes=100),\n",
    "    short_period=timedelta(minutes=50),\n",
    "    std_period=timedelta(minutes=30),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Stocks for date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def start_datetime() -> datetime:\n",
    "    return datetime(year=2022, month=2, day=16, hour=17, tzinfo=timezone.utc)\n",
    "\n",
    "\n",
    "real_market_data_test_from = start_datetime() - timedelta(days=1)\n",
    "real_market_data_test_start = start_datetime()\n",
    "real_market_data_test_end = start_datetime() + timedelta(days=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initial balance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "balance = MoneyValue(currency=\"rub\", units=20050, nano=690000000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-03-15 21:00:05,649 INFO:9b1ca1a8bebe24b983bd1cd009ddd572 GetSandboxPortfolio\n",
      "2022-03-15 21:00:05,650 INFO:Balance: 20050.69000000\n",
      "2022-03-15 21:00:05,650 INFO:Refreshing data\n"
     ]
    }
   ],
   "source": [
    "with MockedSandboxClient(\n",
    "    token=token,\n",
    "    balance=balance,\n",
    ") as mocked_services:\n",
    "    account_manager = AccountManager(\n",
    "        services=mocked_services, strategy_settings=settings\n",
    "    )\n",
    "    state = MovingAverageStrategyState()\n",
    "    strategy = MovingAverageStrategy(\n",
    "        settings=settings,\n",
    "        account_manager=account_manager,\n",
    "        state=state,\n",
    "    )\n",
    "    supervisor = MovingAverageStrategySupervisor()\n",
    "    signal_executor = MovingAverageSignalExecutor(\n",
    "        services=mocked_services,\n",
    "        state=state,\n",
    "        settings=settings,\n",
    "    )\n",
    "    moving_average_strategy_trader = MovingAverageStrategyTrader(\n",
    "        strategy=strategy,\n",
    "        settings=settings,\n",
    "        services=mocked_services,\n",
    "        state=state,\n",
    "        signal_executor=signal_executor,\n",
    "        account_manager=account_manager,\n",
    "        supervisor=supervisor,\n",
    "    )\n",
    "    plotter = MovingAverageStrategyPlotter(settings=settings)\n",
    "\n",
    "    initial_balance = account_manager.get_current_balance()\n",
    "\n",
    "    for i in range(50):\n",
    "        logger.info(\"Trade %s\", i)\n",
    "        events = list(supervisor.get_events())\n",
    "        plotter.plot(events)\n",
    "        try:\n",
    "            moving_average_strategy_trader.trade()\n",
    "        except Exception:\n",
    "            pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "current_balance = account_manager.get_current_balance()\n",
    "assert initial_balance != current_balance\n",
    "logger.info(\"Initial balance %s\", initial_balance)\n",
    "logger.info(\"Current balance %s\", current_balance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}